=== Avatar Training (fire-and-forget) === Script: train_pi0fast.py Started: 2026-03-12 20:07:35 UTC >>> [0/4] Raising file descriptor limit... ulimit -n = 65536 >>> [1/4] Setting environment... HF_TOKEN set: 37 chars WANDB_API_KEY set: 0 chars >>> [2/4] Logging into HuggingFace... The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `hf`CLI if you want to set the git credential as well. Token is valid (permission: write). The token `beta-pc` has been saved to /root/.cache/huggingface/stored_tokens Your token has been saved to /root/.cache/huggingface/token Login successful. Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured. ⚠️ Warning: 'huggingface-cli login' is deprecated. Use 'hf auth login' instead. >>> [3/4] Pre-downloading pretrained model... Downloading avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320... Fetching 9 files: 0%| | 0/9 [00:00>> [4/4] Launching accelerate with 8 GPUs... Script: train_pi0fast.py Train args: --dataset orange_hook_right_20260310 --steps 70000 --pretrained-path avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 --save-freq 10000 --task-text pick\ the\ orange\ rectangular\ package\ from\ the\ bin\ and\ then\ move\ to\ the\ conveyor\ that\ is\ moving\ target\ boxes\,\ drop\ the\ item --push-to-hub --wandb The following values were not passed to `accelerate launch` and had defaults used instead: `--num_machines` was set to a value of `1` `--mixed_precision` was set to a value of `'no'` `--dynamo_backend` was set to a value of `'no'` To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`. ============================================================ π₀-FAST Training ============================================================ Dataset: hamidavatar/orange_hook_right_20260310 Pretrained: avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 Model repo: avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Steps: 70000 Batch/GPU: 8 (eff: 64) Chunk size: 10 LR: 2.5e-05 Save freq: 10000 GPUs: 8 ============================================================ [Avatar] W&B key invalid (0 chars), skipping [Avatar] W&B key invalid (0 chars), skipping [Avatar] W&B key invalid (0 chars), skipping [Avatar] W&B key invalid (0 chars), skipping [Avatar] W&B key invalid (0 chars), skipping [Avatar] W&B key invalid (0 chars), skipping [Avatar] W&B key invalid (0 chars), skipping [Avatar] W&B key invalid (0 chars), skipping lerobot_train \ --dataset.repo_id=hamidavatar/orange_hook_right_20260310 \ --policy.type=pi0_fast \ --policy.pretrained_path=avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320 \ --policy.repo_id=avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 \ --policy.dtype=bfloat16 \ --policy.gradient_checkpointing=true \ --policy.chunk_size=10 \ --policy.n_action_steps=10 \ --policy.max_action_tokens=256 \ --policy.optimizer_lr=2.5e-05 \ --policy.optimizer_weight_decay=0.01 \ --policy.scheduler_warmup_steps=1000 \ --policy.scheduler_decay_steps=70000 \ --policy.scheduler_decay_lr=1e-6 \ --batch_size=8 \ --steps=70000 \ --save_freq=10000 \ --log_freq=100 \ --save_checkpoint=true \ --seed=1000 \ --num_workers=4 \ --output_dir=outputs/train/pi0fast \ --tolerance_s=2.0 \ --policy.push_to_hub=true \ --policy.private=true \ [Avatar] cudnn.benchmark=True, tf32=True [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler [Avatar] Checkpoint push enabled → avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 (with per-step tags) [Avatar] Dataset task text patched → "pick the orange rectangular package from the bin and then move to the conveyor that is moving target boxes, drop the item" [Avatar] Dataset timestamp tolerance set to 2.0s [Avatar] Installed corrupt-frame retry handler WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. WARNING:lerobot.configs.policies:Device 'None' is not available. Switching to 'cuda'. INFO 2026-03-12 20:08:25 ot_train.py:197 {'batch_size': 8, 'checkpoint_path': None, 'dataset': {'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'affine': {'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}, 'type': 'RandomAffine', 'weight': 1.0}, 'brightness': {'kwargs': {'brightness': [0.8, 1.2]}, 'type': 'ColorJitter', 'weight': 1.0}, 'contrast': {'kwargs': {'contrast': [0.8, 1.2]}, 'type': 'ColorJitter', 'weight': 1.0}, 'hue': {'kwargs': {'hue': [-0.05, 0.05]}, 'type': 'ColorJitter', 'weight': 1.0}, 'saturation': {'kwargs': {'saturation': [0.5, 1.5]}, 'type': 'ColorJitter', 'weight': 1.0}, 'sharpness': {'kwargs': {'sharpness': [0.5, 1.5]}, 'type': 'SharpnessJitter', 'weight': 1.0}}}, 'repo_id': 'hamidavatar/orange_hook_right_20260310', 'revision': None, 'root': None, 'streaming': False, 'use_imagenet_stats': True, 'video_backend': 'torchcodec'}, 'env': None, 'eval': {'batch_size': 50, 'n_episodes': 50, 'use_async_envs': False}, 'eval_freq': 20000, 'job_name': 'pi0_fast', 'log_freq': 100, 'num_workers': 4, 'optimizer': {'betas': [0.9, 0.95], 'eps': 1e-08, 'grad_clip_norm': 1.0, 'lr': 2.5e-05, 'type': 'adamw', 'weight_decay': 0.01}, 'output_dir': 'outputs/train/pi0fast', 'peft': None, 'policy': {'action_expert_variant': 'gemma_300m', 'action_tokenizer_name': 'physical-intelligence/fast', 'chunk_size': 10, 'compile_mode': 'max-autotune', 'compile_model': False, 'device': 'cuda', 'dtype': 'bfloat16', 'empty_cameras': 0, 'fast_skip_tokens': 128, 'gradient_checkpointing': True, 'image_resolution': [224, 224], 'input_features': {}, 'license': None, 'max_action_dim': 32, 'max_action_tokens': 256, 'max_decoding_steps': 256, 'max_state_dim': 32, 'n_action_steps': 10, 'n_obs_steps': 1, 'normalization_mapping': {'ACTION': , 'STATE': , 'VISUAL': }, 'optimizer_betas': [0.9, 0.95], 'optimizer_eps': 1e-08, 'optimizer_grad_clip_norm': 1.0, 'optimizer_lr': 2.5e-05, 'optimizer_weight_decay': 0.01, 'output_features': {}, 'paligemma_variant': 'gemma_2b', 'pretrained_path': 'avatarrobotics/pi0fast-orange-hook-right-b64-20260312-0320', 'private': True, 'push_to_hub': True, 'repo_id': 'avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008', 'rtc_config': None, 'scheduler_decay_lr': 1e-06, 'scheduler_decay_steps': 70000, 'scheduler_warmup_steps': 1000, 'tags': None, 'temperature': 0.0, 'text_tokenizer_name': 'google/paligemma-3b-pt-224', 'tokenizer_max_length': 200, 'type': 'pi0_fast', 'use_amp': False, 'use_kv_cache': True, 'use_peft': False, 'validate_action_token_prefix': True}, 'rabc_epsilon': 1e-06, 'rabc_head_mode': 'sparse', 'rabc_kappa': 0.01, 'rabc_progress_path': None, 'rename_map': {}, 'resume': False, 'save_checkpoint': True, 'save_freq': 10000, 'scheduler': {'decay_lr': 1e-06, 'num_decay_steps': 70000, 'num_warmup_steps': 1000, 'peak_lr': 2.5e-05, 'type': 'cosine_decay_with_warmup'}, 'seed': 1000, 'steps': 70000, 'tolerance_s': 2.0, 'use_policy_training_preset': True, 'use_rabc': False, 'wandb': {'disable_artifact': False, 'enable': False, 'entity': None, 'mode': None, 'notes': None, 'project': 'lerobot', 'run_id': None}} INFO 2026-03-12 20:08:25 ot_train.py:205 Logs will be saved locally. INFO 2026-03-12 20:08:25 ot_train.py:217 Creating dataset Fetching 7 files: 0%| | 0/7 [00:00 tolerance_s=2, retrying with idx=8684 Training: 0%| | 30/70000 [00:41<25:03:21, 1.29s/step] Training: 0%| | 31/70000 [00:42<24:31:49, 1.26s/step] Training: 0%| | 32/70000 [00:43<24:08:13, 1.24s/step] Training: 0%| | 33/70000 [00:44<23:47:48, 1.22s/step] Training: 0%| | 34/70000 [00:45<23:35:45, 1.21s/step] Training: 0%| | 35/70000 [00:47<23:28:50, 1.21s/step] Training: 0%| | 36/70000 [00:48<23:25:31, 1.21s/step] Training: 0%| | 37/70000 [00:49<23:16:23, 1.20s/step] Training: 0%| | 38/70000 [00:51<25:11:10, 1.30s/step] Training: 0%| | 39/70000 [00:52<24:30:02, 1.26s/step] Training: 0%| | 40/70000 [00:53<24:05:27, 1.24s/step] Training: 0%| | 41/70000 [00:54<23:46:19, 1.22s/step] Training: 0%| | 42/70000 [00:55<23:33:38, 1.21s/step] Training: 0%| | 43/70000 [00:56<23:25:38, 1.21s/step] Training: 0%| | 44/70000 [00:58<23:20:02, 1.20s/step] Training: 0%| | 45/70000 [00:59<23:15:12, 1.20s/step] Training: 0%| | 46/70000 [01:00<24:08:02, 1.24s/step] Training: 0%| | 47/70000 [01:01<23:52:32, 1.23s/step] Training: 0%| | 48/70000 [01:03<23:39:58, 1.22s/step] Training: 0%| | 49/70000 [01:04<23:30:22, 1.21s/step] Training: 0%| | 50/70000 [01:05<23:21:10, 1.20s/step] Training: 0%| | 51/70000 [01:06<23:17:55, 1.20s/step] Training: 0%| | 52/70000 [01:07<23:18:37, 1.20s/step] Training: 0%| | 53/70000 [01:09<23:14:49, 1.20s/step] Training: 0%| | 54/70000 [01:10<24:17:38, 1.25s/step] Training: 0%| | 55/70000 [01:11<25:16:50, 1.30s/step] Training: 0%| | 56/70000 [01:12<24:34:44, 1.27s/step] Training: 0%| | 57/70000 [01:14<24:08:25, 1.24s/step] Training: 0%| | 58/70000 [01:15<23:48:49, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=27434 Training: 0%| | 59/70000 [01:16<23:44:16, 1.22s/step] Training: 0%| | 60/70000 [01:17<23:30:01, 1.21s/step] Training: 0%| | 61/70000 [01:18<23:24:44, 1.21s/step] Training: 0%| | 62/70000 [01:20<24:32:08, 1.26s/step] Training: 0%| | 63/70000 [01:21<24:53:49, 1.28s/step] Training: 0%| | 64/70000 [01:22<24:20:21, 1.25s/step] Training: 0%| | 65/70000 [01:24<23:57:42, 1.23s/step] Training: 0%| | 66/70000 [01:25<23:41:58, 1.22s/step] Training: 0%| | 67/70000 [01:26<23:31:19, 1.21s/step] Training: 0%| | 68/70000 [01:27<23:26:09, 1.21s/step] Training: 0%| | 69/70000 [01:28<23:20:50, 1.20s/step] Training: 0%| | 70/70000 [01:30<24:10:22, 1.24s/step] Training: 0%| | 71/70000 [01:31<24:28:19, 1.26s/step] Training: 0%| | 72/70000 [01:32<24:01:44, 1.24s/step] Training: 0%| | 73/70000 [01:33<23:46:48, 1.22s/step] Training: 0%| | 74/70000 [01:35<23:38:14, 1.22s/step] Training: 0%| | 75/70000 [01:36<23:28:06, 1.21s/step] Training: 0%| | 76/70000 [01:37<23:21:34, 1.20s/step] Training: 0%| | 77/70000 [01:38<23:16:20, 1.20s/step] Training: 0%| | 78/70000 [01:39<24:11:22, 1.25s/step] Training: 0%| | 79/70000 [01:41<25:09:02, 1.29s/step] Training: 0%| | 80/70000 [01:42<24:30:39, 1.26s/step] Training: 0%| | 81/70000 [01:43<24:05:15, 1.24s/step] Training: 0%| | 82/70000 [01:44<23:46:49, 1.22s/step] Training: 0%| | 83/70000 [01:46<23:34:43, 1.21s/step] Training: 0%| | 84/70000 [01:47<23:25:50, 1.21s/step] Training: 0%| | 85/70000 [01:48<23:20:30, 1.20s/step] Training: 0%| | 86/70000 [01:49<24:28:53, 1.26s/step] Training: 0%| | 87/70000 [01:51<25:18:15, 1.30s/step] Training: 0%| | 88/70000 [01:52<24:36:40, 1.27s/step] Training: 0%| | 89/70000 [01:53<24:09:38, 1.24s/step] Training: 0%| | 90/70000 [01:54<23:51:43, 1.23s/step] Training: 0%| | 91/70000 [01:56<23:37:19, 1.22s/step] Training: 0%| | 92/70000 [01:57<23:26:49, 1.21s/step] Training: 0%| | 93/70000 [01:58<23:20:45, 1.20s/step] Training: 0%| | 94/70000 [01:59<24:22:33, 1.26s/step] Training: 0%| | 95/70000 [02:01<25:10:59, 1.30s/step] Training: 0%| | 96/70000 [02:02<24:29:29, 1.26s/step] Training: 0%| | 97/70000 [02:03<24:03:40, 1.24s/step] Training: 0%| | 98/70000 [02:04<23:45:24, 1.22s/step] Training: 0%| | 99/70000 [02:05<23:33:17, 1.21s/step] Training: 0%| | 100/70000 [02:07<23:23:42, 1.20s/step]INFO 2026-03-12 20:11:59 ot_train.py:435 step:100 smpl:6K ep:22 epch:0.08 loss:0.147 grdn:9.397 lr:1.3e-06 updt_s:1.225 data_s:0.044 Training: 0%| | 101/70000 [02:08<23:19:53, 1.20s/step] Training: 0%| | 102/70000 [02:09<24:14:13, 1.25s/step] Training: 0%| | 103/70000 [02:10<24:33:01, 1.26s/step] Training: 0%| | 104/70000 [02:12<24:01:32, 1.24s/step] Training: 0%| | 105/70000 [02:13<23:43:56, 1.22s/step] Training: 0%| | 106/70000 [02:14<23:32:56, 1.21s/step] Training: 0%| | 107/70000 [02:15<23:24:33, 1.21s/step] Training: 0%| | 108/70000 [02:16<23:21:12, 1.20s/step] Training: 0%| | 109/70000 [02:18<23:15:00, 1.20s/step] Training: 0%| | 110/70000 [02:19<24:03:05, 1.24s/step] Training: 0%| | 111/70000 [02:20<25:07:57, 1.29s/step] Training: 0%| | 112/70000 [02:22<24:27:17, 1.26s/step] Training: 0%| | 113/70000 [02:23<24:02:18, 1.24s/step] Training: 0%| | 114/70000 [02:24<23:46:31, 1.22s/step] Training: 0%| | 115/70000 [02:25<23:34:05, 1.21s/step] Training: 0%| | 116/70000 [02:26<23:25:27, 1.21s/step] Training: 0%| | 117/70000 [02:27<23:19:13, 1.20s/step] Training: 0%| | 118/70000 [02:29<24:19:39, 1.25s/step] Training: 0%| | 119/70000 [02:30<23:59:43, 1.24s/step] Training: 0%| | 120/70000 [02:31<24:49:58, 1.28s/step] Training: 0%| | 121/70000 [02:33<24:15:20, 1.25s/step] Training: 0%| | 122/70000 [02:34<23:53:58, 1.23s/step] Training: 0%| | 123/70000 [02:35<23:39:59, 1.22s/step] Training: 0%| | 124/70000 [02:36<23:29:50, 1.21s/step] Training: 0%| | 125/70000 [02:37<23:21:49, 1.20s/step] Training: 0%| | 126/70000 [02:39<23:42:26, 1.22s/step] Training: 0%| | 127/70000 [02:40<24:12:46, 1.25s/step] Training: 0%| | 128/70000 [02:41<25:02:32, 1.29s/step] Training: 0%| | 129/70000 [02:43<24:24:17, 1.26s/step] Training: 0%| | 130/70000 [02:44<23:59:43, 1.24s/step] Training: 0%| | 131/70000 [02:45<23:43:08, 1.22s/step] Training: 0%| | 132/70000 [02:46<23:31:05, 1.21s/step] Training: 0%| | 133/70000 [02:47<23:22:59, 1.20s/step] Training: 0%| | 134/70000 [02:49<24:12:37, 1.25s/step] Training: 0%| | 135/70000 [02:50<24:37:32, 1.27s/step] Training: 0%| | 136/70000 [02:51<24:25:27, 1.26s/step] Training: 0%| | 137/70000 [02:52<23:58:41, 1.24s/step] Training: 0%| | 138/70000 [02:54<23:44:47, 1.22s/step] Training: 0%| | 139/70000 [02:55<23:30:04, 1.21s/step] Training: 0%| | 140/70000 [02:56<23:22:17, 1.20s/step] Training: 0%| | 141/70000 [02:57<23:16:33, 1.20s/step] Training: 0%| | 142/70000 [02:58<24:08:28, 1.24s/step] Training: 0%| | 143/70000 [03:00<23:51:30, 1.23s/step] Training: 0%| | 144/70000 [03:01<24:00:14, 1.24s/step] Training: 0%| | 145/70000 [03:02<23:43:14, 1.22s/step] Training: 0%| | 146/70000 [03:03<23:32:16, 1.21s/step] Training: 0%| | 147/70000 [03:04<23:24:04, 1.21s/step] Training: 0%| | 148/70000 [03:06<23:20:26, 1.20s/step] Training: 0%| | 149/70000 [03:07<23:14:16, 1.20s/step] Training: 0%| | 150/70000 [03:08<24:13:33, 1.25s/step] Training: 0%| | 151/70000 [03:09<23:53:45, 1.23s/step] Training: 0%| | 152/70000 [03:11<24:16:52, 1.25s/step] Training: 0%| | 153/70000 [03:12<23:54:11, 1.23s/step] Training: 0%| | 154/70000 [03:13<23:39:33, 1.22s/step] Training: 0%| | 155/70000 [03:14<23:29:38, 1.21s/step] Training: 0%| | 156/70000 [03:15<23:20:53, 1.20s/step] Training: 0%| | 157/70000 [03:17<23:17:34, 1.20s/step] Training: 0%| | 158/70000 [03:18<23:48:26, 1.23s/step] Training: 0%| | 159/70000 [03:19<23:38:14, 1.22s/step] Training: 0%| | 160/70000 [03:21<24:43:51, 1.27s/step] Training: 0%| | 161/70000 [03:22<24:10:21, 1.25s/step] Training: 0%| | 162/70000 [03:23<23:52:12, 1.23s/step] Training: 0%| | 163/70000 [03:24<23:37:55, 1.22s/step] Training: 0%| | 164/70000 [03:25<23:27:44, 1.21s/step] Training: 0%| | 165/70000 [03:26<23:20:18, 1.20s/step] Training: 0%| | 166/70000 [03:28<24:07:33, 1.24s/step] Training: 0%| | 167/70000 [03:29<23:47:32, 1.23s/step] Training: 0%| | 168/70000 [03:30<24:45:16, 1.28s/step] Training: 0%| | 169/70000 [03:32<24:11:57, 1.25s/step] Training: 0%| | 170/70000 [03:33<23:51:22, 1.23s/step] Training: 0%| | 171/70000 [03:34<23:37:26, 1.22s/step] Training: 0%| | 172/70000 [03:35<23:27:03, 1.21s/step] Training: 0%| | 173/70000 [03:36<23:20:32, 1.20s/step] Training: 0%| | 174/70000 [03:38<24:03:36, 1.24s/step] Training: 0%| | 175/70000 [03:39<23:45:50, 1.23s/step] Training: 0%| | 176/70000 [03:40<24:48:37, 1.28s/step] Training: 0%| | 177/70000 [03:41<24:12:53, 1.25s/step] Training: 0%| | 178/70000 [03:43<23:52:24, 1.23s/step] Training: 0%| | 179/70000 [03:44<23:39:14, 1.22s/step] Training: 0%| | 180/70000 [03:45<23:29:01, 1.21s/step] Training: 0%| | 181/70000 [03:46<23:22:12, 1.21s/step] Training: 0%| | 182/70000 [03:48<24:28:12, 1.26s/step] Training: 0%| | 183/70000 [03:49<24:03:50, 1.24s/step] Training: 0%| | 184/70000 [03:50<24:25:18, 1.26s/step] Training: 0%| | 185/70000 [03:51<23:56:53, 1.23s/step] Training: 0%| | 186/70000 [03:52<23:42:08, 1.22s/step] Training: 0%| | 187/70000 [03:54<23:31:01, 1.21s/step] Training: 0%| | 188/70000 [03:55<23:21:52, 1.20s/step] Training: 0%| | 189/70000 [03:56<23:15:51, 1.20s/step] Training: 0%| | 190/70000 [03:57<23:41:30, 1.22s/step] Training: 0%| | 191/70000 [03:58<23:30:49, 1.21s/step] Training: 0%| | 192/70000 [04:00<24:40:21, 1.27s/step] Training: 0%| | 193/70000 [04:01<24:09:00, 1.25s/step] Training: 0%| | 194/70000 [04:02<23:48:23, 1.23s/step] Training: 0%| | 195/70000 [04:03<23:36:26, 1.22s/step] Training: 0%| | 196/70000 [04:05<23:26:32, 1.21s/step] Training: 0%| | 197/70000 [04:06<23:19:30, 1.20s/step] Training: 0%| | 198/70000 [04:07<24:05:53, 1.24s/step] Training: 0%| | 199/70000 [04:08<23:50:13, 1.23s/step] Training: 0%| | 200/70000 [04:10<24:47:53, 1.28s/step]INFO 2026-03-12 20:14:02 ot_train.py:435 step:200 smpl:13K ep:44 epch:0.17 loss:0.145 grdn:8.738 lr:3.8e-06 updt_s:1.211 data_s:0.019 Training: 0%| | 201/70000 [04:11<24:13:56, 1.25s/step] Training: 0%| | 202/70000 [04:12<23:53:10, 1.23s/step] Training: 0%| | 203/70000 [04:13<23:41:34, 1.22s/step] Training: 0%| | 204/70000 [04:15<23:27:11, 1.21s/step] Training: 0%| | 205/70000 [04:16<23:20:46, 1.20s/step] Training: 0%| | 206/70000 [04:17<24:04:57, 1.24s/step] Training: 0%| | 207/70000 [04:18<23:48:18, 1.23s/step] Training: 0%| | 208/70000 [04:20<24:47:41, 1.28s/step] Training: 0%| | 209/70000 [04:21<24:15:02, 1.25s/step] Training: 0%| | 210/70000 [04:22<23:52:54, 1.23s/step] Training: 0%| | 211/70000 [04:23<23:38:01, 1.22s/step] Training: 0%| | 212/70000 [04:24<23:30:05, 1.21s/step] Training: 0%| | 213/70000 [04:26<23:21:21, 1.20s/step] Training: 0%| | 214/70000 [04:27<24:22:44, 1.26s/step] Training: 0%| | 215/70000 [04:28<24:00:40, 1.24s/step] Training: 0%| | 216/70000 [04:29<24:20:13, 1.26s/step] Training: 0%| | 217/70000 [04:31<23:53:33, 1.23s/step] Training: 0%| | 218/70000 [04:32<23:39:52, 1.22s/step] Training: 0%| | 219/70000 [04:33<23:28:29, 1.21s/step] Training: 0%| | 220/70000 [04:34<23:19:40, 1.20s/step] Training: 0%| | 221/70000 [04:35<23:17:07, 1.20s/step] Training: 0%| | 222/70000 [04:37<23:35:04, 1.22s/step] Training: 0%| | 223/70000 [04:38<23:26:19, 1.21s/step] Training: 0%| | 224/70000 [04:39<23:20:08, 1.20s/step] Training: 0%| | 225/70000 [04:40<24:32:05, 1.27s/step] Training: 0%| | 226/70000 [04:42<24:03:28, 1.24s/step] Training: 0%| | 227/70000 [04:43<23:45:11, 1.23s/step] Training: 0%| | 228/70000 [04:44<23:37:36, 1.22s/step] Training: 0%| | 229/70000 [04:45<23:26:05, 1.21s/step] Training: 0%| | 230/70000 [04:47<24:12:09, 1.25s/step] Training: 0%| | 231/70000 [04:48<23:50:45, 1.23s/step] Training: 0%| | 232/70000 [04:49<23:37:21, 1.22s/step] Training: 0%| | 233/70000 [04:50<24:16:18, 1.25s/step] Training: 0%| | 234/70000 [04:51<23:51:19, 1.23s/step] Training: 0%| | 235/70000 [04:53<23:39:03, 1.22s/step] Training: 0%| | 236/70000 [04:54<23:25:54, 1.21s/step] Training: 0%| | 237/70000 [04:55<23:19:11, 1.20s/step] Training: 0%| | 238/70000 [04:56<24:05:30, 1.24s/step] Training: 0%| | 239/70000 [04:58<23:46:54, 1.23s/step] Training: 0%| | 240/70000 [04:59<23:33:25, 1.22s/step] Training: 0%| | 241/70000 [05:00<23:50:43, 1.23s/step] Training: 0%| | 242/70000 [05:01<23:33:43, 1.22s/step] Training: 0%| | 243/70000 [05:02<23:24:26, 1.21s/step] Training: 0%| | 244/70000 [05:04<23:20:02, 1.20s/step] Training: 0%| | 245/70000 [05:05<23:16:05, 1.20s/step] Training: 0%| | 246/70000 [05:06<24:20:41, 1.26s/step] Training: 0%| | 247/70000 [05:07<23:57:49, 1.24s/step] Training: 0%| | 248/70000 [05:09<23:40:39, 1.22s/step] Training: 0%| | 249/70000 [05:10<24:46:27, 1.28s/step] Training: 0%| | 250/70000 [05:11<24:11:35, 1.25s/step] Training: 0%| | 251/70000 [05:12<23:51:40, 1.23s/step] Training: 0%| | 252/70000 [05:13<23:39:04, 1.22s/step] Training: 0%| | 253/70000 [05:15<23:28:30, 1.21s/step] Training: 0%| | 254/70000 [05:16<23:42:09, 1.22s/step] Training: 0%| | 255/70000 [05:17<23:30:35, 1.21s/step] Training: 0%| | 256/70000 [05:18<23:23:05, 1.21s/step] Training: 0%| | 257/70000 [05:20<24:27:29, 1.26s/step] Training: 0%| | 258/70000 [05:21<24:01:14, 1.24s/step] Training: 0%| | 259/70000 [05:22<23:42:17, 1.22s/step] Training: 0%| | 260/70000 [05:23<23:29:51, 1.21s/step] Training: 0%| | 261/70000 [05:24<23:20:47, 1.21s/step] Training: 0%| | 262/70000 [05:26<24:08:53, 1.25s/step] Training: 0%| | 263/70000 [05:27<23:48:57, 1.23s/step] Training: 0%| | 264/70000 [05:28<23:34:41, 1.22s/step] Training: 0%| | 265/70000 [05:29<24:06:01, 1.24s/step] Training: 0%| | 266/70000 [05:31<23:47:45, 1.23s/step] Training: 0%| | 267/70000 [05:32<23:36:05, 1.22s/step] Training: 0%| | 268/70000 [05:33<23:26:13, 1.21s/step] Training: 0%| | 269/70000 [05:34<23:19:12, 1.20s/step] Training: 0%| | 270/70000 [05:36<24:07:12, 1.25s/step] Training: 0%| | 271/70000 [05:37<23:47:31, 1.23s/step] Training: 0%| | 272/70000 [05:38<23:33:16, 1.22s/step] Training: 0%| | 273/70000 [05:39<24:33:53, 1.27s/step] Training: 0%| | 274/70000 [05:41<24:02:25, 1.24s/step] Training: 0%| | 275/70000 [05:42<23:44:14, 1.23s/step] Training: 0%| | 276/70000 [05:43<23:31:40, 1.21s/step] Training: 0%| | 277/70000 [05:44<23:21:57, 1.21s/step] Training: 0%| | 278/70000 [05:45<24:25:08, 1.26s/step] Training: 0%| | 279/70000 [05:47<24:01:26, 1.24s/step] Training: 0%| | 280/70000 [05:48<23:43:27, 1.23s/step] Training: 0%| | 281/70000 [05:49<24:00:24, 1.24s/step] Training: 0%| | 282/70000 [05:50<23:39:41, 1.22s/step] Training: 0%| | 283/70000 [05:52<23:28:55, 1.21s/step] Training: 0%| | 284/70000 [05:53<23:20:51, 1.21s/step] Training: 0%| | 285/70000 [05:54<23:14:14, 1.20s/step] Training: 0%| | 286/70000 [05:55<23:37:22, 1.22s/step] Training: 0%| | 287/70000 [05:56<23:27:00, 1.21s/step] Training: 0%| | 288/70000 [05:58<23:19:47, 1.20s/step] Training: 0%| | 289/70000 [05:59<23:37:51, 1.22s/step] Training: 0%| | 290/70000 [06:00<23:27:45, 1.21s/step] Training: 0%| | 291/70000 [06:01<23:21:50, 1.21s/step] Training: 0%| | 292/70000 [06:02<23:16:30, 1.20s/step] Training: 0%| | 293/70000 [06:04<23:13:34, 1.20s/step] Training: 0%| | 294/70000 [06:05<24:00:29, 1.24s/step] Training: 0%| | 295/70000 [06:06<23:43:32, 1.23s/step] Training: 0%| | 296/70000 [06:07<23:32:51, 1.22s/step] Training: 0%| | 297/70000 [06:09<24:31:56, 1.27s/step] Training: 0%| | 298/70000 [06:10<24:01:10, 1.24s/step] Training: 0%| | 299/70000 [06:11<23:42:42, 1.22s/step] Training: 0%| | 300/70000 [06:12<23:30:02, 1.21s/step]INFO 2026-03-12 20:16:04 ot_train.py:435 step:300 smpl:19K ep:65 epch:0.25 loss:0.139 grdn:8.331 lr:6.3e-06 updt_s:1.204 data_s:0.018 Training: 0%| | 301/70000 [06:13<23:20:43, 1.21s/step] Training: 0%| | 302/70000 [06:15<24:07:47, 1.25s/step] Training: 0%| | 303/70000 [06:16<23:50:02, 1.23s/step] Training: 0%| | 304/70000 [06:17<23:35:31, 1.22s/step] Training: 0%| | 305/70000 [06:18<24:00:33, 1.24s/step] Training: 0%| | 306/70000 [06:20<23:39:43, 1.22s/step] Training: 0%| | 307/70000 [06:21<23:32:11, 1.22s/step] Training: 0%| | 308/70000 [06:22<23:21:53, 1.21s/step] Training: 0%| | 309/70000 [06:23<23:16:10, 1.20s/step] Training: 0%| | 310/70000 [06:25<24:15:35, 1.25s/step] Training: 0%| | 311/70000 [06:26<23:54:50, 1.24s/step] Training: 0%| | 312/70000 [06:27<23:38:54, 1.22s/step] Training: 0%| | 313/70000 [06:28<24:42:14, 1.28s/step] Training: 0%| | 314/70000 [06:30<24:09:43, 1.25s/step] Training: 0%| | 315/70000 [06:31<23:47:46, 1.23s/step] Training: 0%| | 316/70000 [06:32<23:33:18, 1.22s/step] Training: 0%| | 317/70000 [06:33<23:24:37, 1.21s/step] Training: 0%| | 318/70000 [06:34<24:24:12, 1.26s/step] Training: 0%| | 319/70000 [06:36<24:01:45, 1.24s/step] Training: 0%| | 320/70000 [06:37<23:41:08, 1.22s/step] Training: 0%| | 321/70000 [06:38<24:43:17, 1.28s/step] Training: 0%| | 322/70000 [06:39<24:08:47, 1.25s/step] Training: 0%| | 323/70000 [06:41<23:51:30, 1.23s/step] Training: 0%| | 324/70000 [06:42<23:36:13, 1.22s/step] Training: 0%| | 325/70000 [06:43<23:23:30, 1.21s/step] Training: 0%| | 326/70000 [06:44<24:09:14, 1.25s/step] Training: 0%| | 327/70000 [06:46<23:49:06, 1.23s/step] Training: 0%| | 328/70000 [06:47<23:34:04, 1.22s/step] Training: 0%| | 329/70000 [06:48<24:43:04, 1.28s/step] Training: 0%| | 330/70000 [06:49<24:09:03, 1.25s/step] Training: 0%| | 331/70000 [06:51<23:48:57, 1.23s/step] Training: 0%| | 332/70000 [06:52<23:35:00, 1.22s/step] Training: 0%| | 333/70000 [06:53<23:24:15, 1.21s/step] Training: 0%| | 334/70000 [06:54<24:10:04, 1.25s/step] Training: 0%| | 335/70000 [06:56<24:37:54, 1.27s/step] Training: 0%| | 336/70000 [06:57<24:10:31, 1.25s/step] Training: 0%| | 337/70000 [06:58<24:20:30, 1.26s/step] Training: 0%| | 338/70000 [06:59<23:57:01, 1.24s/step] Training: 0%| | 339/70000 [07:00<23:42:33, 1.23s/step] Training: 0%| | 340/70000 [07:02<23:31:09, 1.22s/step] Training: 0%| | 341/70000 [07:03<23:22:00, 1.21s/step] Training: 0%| | 342/70000 [07:04<24:21:15, 1.26s/step] Training: 0%| | 343/70000 [07:06<24:44:41, 1.28s/step] Training: 0%| | 344/70000 [07:07<24:15:36, 1.25s/step] Training: 0%| | 345/70000 [07:08<25:11:41, 1.30s/step] Training: 0%| | 346/70000 [07:09<24:29:56, 1.27s/step] Training: 0%| | 347/70000 [07:10<24:02:17, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=17081 Training: 0%| | 348/70000 [07:12<23:45:16, 1.23s/step] Training: 0%| | 349/70000 [07:13<23:31:03, 1.22s/step] Training: 0%| | 350/70000 [07:14<23:49:52, 1.23s/step] Training: 1%| | 351/70000 [07:15<24:06:13, 1.25s/step] Training: 1%| | 352/70000 [07:17<23:47:16, 1.23s/step] Training: 1%| | 353/70000 [07:18<24:44:17, 1.28s/step] Training: 1%| | 354/70000 [07:19<24:10:20, 1.25s/step] Training: 1%| | 355/70000 [07:20<23:49:17, 1.23s/step] Training: 1%| | 356/70000 [07:22<23:34:29, 1.22s/step] Training: 1%| | 357/70000 [07:23<23:25:23, 1.21s/step] Training: 1%| | 358/70000 [07:24<24:09:23, 1.25s/step] Training: 1%| | 359/70000 [07:25<24:32:37, 1.27s/step] Training: 1%| | 360/70000 [07:27<24:04:54, 1.24s/step] Training: 1%| | 361/70000 [07:28<24:57:19, 1.29s/step] Training: 1%| | 362/70000 [07:29<24:19:03, 1.26s/step] Training: 1%| | 363/70000 [07:30<23:55:48, 1.24s/step] Training: 1%| | 364/70000 [07:32<23:39:00, 1.22s/step] Training: 1%| | 365/70000 [07:33<23:27:20, 1.21s/step] Training: 1%| | 366/70000 [07:34<24:09:24, 1.25s/step] Training: 1%| | 367/70000 [07:35<24:07:17, 1.25s/step] Training: 1%| | 368/70000 [07:37<23:47:23, 1.23s/step] Training: 1%| | 369/70000 [07:38<24:05:07, 1.25s/step] Training: 1%| | 370/70000 [07:39<23:42:35, 1.23s/step] Training: 1%| | 371/70000 [07:40<23:30:26, 1.22s/step] Training: 1%| | 372/70000 [07:41<23:20:19, 1.21s/step] Training: 1%| | 373/70000 [07:43<23:14:08, 1.20s/step] Training: 1%| | 374/70000 [07:44<24:11:41, 1.25s/step] Training: 1%| | 375/70000 [07:45<24:21:47, 1.26s/step] Training: 1%| | 376/70000 [07:46<24:00:11, 1.24s/step] Training: 1%| | 377/70000 [07:48<25:02:06, 1.29s/step] Training: 1%| | 378/70000 [07:49<24:23:33, 1.26s/step] Training: 1%| | 379/70000 [07:50<23:58:34, 1.24s/step] Training: 1%| | 380/70000 [07:51<23:41:32, 1.23s/step] Training: 1%| | 381/70000 [07:53<23:28:36, 1.21s/step] Training: 1%| | 382/70000 [07:54<23:43:19, 1.23s/step] Training: 1%| | 383/70000 [07:55<24:22:24, 1.26s/step] Training: 1%| | 384/70000 [07:56<23:59:03, 1.24s/step] Training: 1%| | 385/70000 [07:58<24:54:55, 1.29s/step] Training: 1%| | 386/70000 [07:59<24:16:27, 1.26s/step] Training: 1%| | 387/70000 [08:00<23:54:00, 1.24s/step] Training: 1%| | 388/70000 [08:01<23:38:24, 1.22s/step] Training: 1%| | 389/70000 [08:02<23:26:45, 1.21s/step] Training: 1%| | 390/70000 [08:04<24:08:43, 1.25s/step] Training: 1%| | 391/70000 [08:05<24:38:32, 1.27s/step] Training: 1%| | 392/70000 [08:06<24:09:14, 1.25s/step] Training: 1%| | 393/70000 [08:08<25:03:08, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=8684 Training: 1%| | 394/70000 [08:09<24:21:58, 1.26s/step] Training: 1%| | 395/70000 [08:10<23:59:35, 1.24s/step] Training: 1%| | 396/70000 [08:11<23:39:54, 1.22s/step] Training: 1%| | 397/70000 [08:12<23:27:54, 1.21s/step] Training: 1%| | 398/70000 [08:14<24:17:37, 1.26s/step] Training: 1%| | 399/70000 [08:15<24:44:01, 1.28s/step] Training: 1%| | 400/70000 [08:16<24:12:40, 1.25s/step]INFO 2026-03-12 20:18:09 ot_train.py:435 step:400 smpl:26K ep:87 epch:0.34 loss:0.134 grdn:8.457 lr:8.8e-06 updt_s:1.221 data_s:0.018 Training: 1%| | 401/70000 [08:18<24:27:33, 1.27s/step] Training: 1%| | 402/70000 [08:19<23:57:58, 1.24s/step] Training: 1%| | 403/70000 [08:20<23:41:28, 1.23s/step] Training: 1%| | 404/70000 [08:21<23:28:55, 1.21s/step] Training: 1%| | 405/70000 [08:22<23:20:54, 1.21s/step] Training: 1%| | 406/70000 [08:24<24:18:33, 1.26s/step] Training: 1%| | 407/70000 [08:25<24:09:31, 1.25s/step] Training: 1%| | 408/70000 [08:26<23:48:07, 1.23s/step] Training: 1%| | 409/70000 [08:28<24:52:28, 1.29s/step] Training: 1%| | 410/70000 [08:29<24:15:29, 1.25s/step] Training: 1%| | 411/70000 [08:30<23:51:19, 1.23s/step] Training: 1%| | 412/70000 [08:31<23:36:39, 1.22s/step] Training: 1%| | 413/70000 [08:32<23:25:54, 1.21s/step] Training: 1%| | 414/70000 [08:34<23:40:30, 1.22s/step] Training: 1%| | 415/70000 [08:35<24:15:16, 1.25s/step] Training: 1%| | 416/70000 [08:36<23:52:19, 1.24s/step] Training: 1%| | 417/70000 [08:38<24:49:41, 1.28s/step] Training: 1%| | 418/70000 [08:39<24:13:13, 1.25s/step] Training: 1%| | 419/70000 [08:40<23:51:07, 1.23s/step] Training: 1%| | 420/70000 [08:41<23:34:14, 1.22s/step] Training: 1%| | 421/70000 [08:42<23:25:11, 1.21s/step] Training: 1%| | 422/70000 [08:44<24:08:41, 1.25s/step] Training: 1%| | 423/70000 [08:45<24:38:53, 1.28s/step] Training: 1%| | 424/70000 [08:46<24:09:49, 1.25s/step] Training: 1%| | 425/70000 [08:48<25:07:16, 1.30s/step] Training: 1%| | 426/70000 [08:49<24:27:27, 1.27s/step] Training: 1%| | 427/70000 [08:50<24:00:01, 1.24s/step] Training: 1%| | 428/70000 [08:51<23:42:24, 1.23s/step] Training: 1%| | 429/70000 [08:52<23:28:44, 1.21s/step] Training: 1%| | 430/70000 [08:54<24:11:40, 1.25s/step] Training: 1%| | 431/70000 [08:55<24:46:35, 1.28s/step] Training: 1%| | 432/70000 [08:56<24:16:02, 1.26s/step] Training: 1%| | 433/70000 [08:58<24:26:43, 1.27s/step] Training: 1%| | 434/70000 [08:59<23:57:51, 1.24s/step] Training: 1%| | 435/70000 [09:00<23:38:22, 1.22s/step] Training: 1%| | 436/70000 [09:01<23:26:12, 1.21s/step] Training: 1%| | 437/70000 [09:02<23:17:11, 1.21s/step] Training: 1%| | 438/70000 [09:04<24:21:20, 1.26s/step] Training: 1%| | 439/70000 [09:05<24:16:30, 1.26s/step] Training: 1%| | 440/70000 [09:06<23:53:57, 1.24s/step] Training: 1%| | 441/70000 [09:07<24:49:56, 1.29s/step] Training: 1%| | 442/70000 [09:09<24:14:00, 1.25s/step] Training: 1%| | 443/70000 [09:10<23:51:31, 1.23s/step] Training: 1%| | 444/70000 [09:11<23:36:10, 1.22s/step] Training: 1%| | 445/70000 [09:12<23:24:34, 1.21s/step] Training: 1%| | 446/70000 [09:13<23:47:16, 1.23s/step] Training: 1%| | 447/70000 [09:15<24:20:02, 1.26s/step] Training: 1%| | 448/70000 [09:16<23:54:54, 1.24s/step] Training: 1%| | 449/70000 [09:17<24:54:29, 1.29s/step] Training: 1%| | 450/70000 [09:19<24:16:19, 1.26s/step] Training: 1%| | 451/70000 [09:20<23:56:15, 1.24s/step] Training: 1%| | 452/70000 [09:21<23:39:48, 1.22s/step] Training: 1%| | 453/70000 [09:22<23:28:18, 1.21s/step] Training: 1%| | 454/70000 [09:24<24:10:56, 1.25s/step] Training: 1%| | 455/70000 [09:25<24:36:21, 1.27s/step] Training: 1%| | 456/70000 [09:26<24:06:06, 1.25s/step] Training: 1%| | 457/70000 [09:27<23:45:08, 1.23s/step] Training: 1%| | 458/70000 [09:29<24:36:22, 1.27s/step] Training: 1%| | 459/70000 [09:30<24:03:52, 1.25s/step] Training: 1%| | 460/70000 [09:31<23:44:48, 1.23s/step] Training: 1%| | 461/70000 [09:32<23:30:37, 1.22s/step] Training: 1%| | 462/70000 [09:33<24:13:47, 1.25s/step] Training: 1%| | 463/70000 [09:35<24:40:26, 1.28s/step] Training: 1%| | 464/70000 [09:36<24:08:59, 1.25s/step] Training: 1%| | 465/70000 [09:37<23:48:55, 1.23s/step] Training: 1%| | 466/70000 [09:39<24:43:00, 1.28s/step] Training: 1%| | 467/70000 [09:40<24:08:06, 1.25s/step] Training: 1%| | 468/70000 [09:41<23:46:53, 1.23s/step] Training: 1%| | 469/70000 [09:42<23:32:40, 1.22s/step] Training: 1%| | 470/70000 [09:44<24:27:50, 1.27s/step] Training: 1%| | 471/70000 [09:45<24:17:58, 1.26s/step] Training: 1%| | 472/70000 [09:46<23:54:27, 1.24s/step] Training: 1%| | 473/70000 [09:47<23:36:39, 1.22s/step] Training: 1%| | 474/70000 [09:48<23:45:25, 1.23s/step] Training: 1%| | 475/70000 [09:50<23:31:24, 1.22s/step] Training: 1%| | 476/70000 [09:51<23:21:47, 1.21s/step] Training: 1%| | 477/70000 [09:52<23:13:58, 1.20s/step] Training: 1%| | 478/70000 [09:53<23:33:34, 1.22s/step] Training: 1%| | 479/70000 [09:55<24:16:18, 1.26s/step] Training: 1%| | 480/70000 [09:56<23:53:11, 1.24s/step] Training: 1%| | 481/70000 [09:57<23:36:33, 1.22s/step] Training: 1%| | 482/70000 [09:58<23:59:57, 1.24s/step] Training: 1%| | 483/70000 [09:59<23:40:34, 1.23s/step] Training: 1%| | 484/70000 [10:01<23:29:04, 1.22s/step] Training: 1%| | 485/70000 [10:02<23:18:03, 1.21s/step] Training: 1%| | 486/70000 [10:03<24:01:49, 1.24s/step] Training: 1%| | 487/70000 [10:04<24:33:50, 1.27s/step] Training: 1%| | 488/70000 [10:06<24:07:15, 1.25s/step] Training: 1%| | 489/70000 [10:07<23:43:48, 1.23s/step] Training: 1%| | 490/70000 [10:08<23:28:24, 1.22s/step] Training: 1%| | 491/70000 [10:09<24:27:41, 1.27s/step] Training: 1%| | 492/70000 [10:11<23:57:36, 1.24s/step] Training: 1%| | 493/70000 [10:12<23:40:18, 1.23s/step] Training: 1%| | 494/70000 [10:13<24:19:34, 1.26s/step] Training: 1%| | 495/70000 [10:14<24:46:14, 1.28s/step] Training: 1%| | 496/70000 [10:16<24:13:29, 1.25s/step] Training: 1%| | 497/70000 [10:17<23:50:44, 1.24s/step] Training: 1%| | 498/70000 [10:18<23:34:18, 1.22s/step] Training: 1%| | 499/70000 [10:19<23:56:45, 1.24s/step] Training: 1%| | 500/70000 [10:21<23:39:09, 1.23s/step]INFO 2026-03-12 20:20:13 ot_train.py:435 step:500 smpl:32K ep:109 epch:0.42 loss:0.130 grdn:8.577 lr:1.1e-05 updt_s:1.221 data_s:0.019 Training: 1%| | 501/70000 [10:22<23:27:31, 1.22s/step] Training: 1%| | 502/70000 [10:23<24:22:47, 1.26s/step] Training: 1%| | 503/70000 [10:24<24:22:23, 1.26s/step] Training: 1%| | 504/70000 [10:26<23:56:58, 1.24s/step] Training: 1%| | 505/70000 [10:27<23:39:14, 1.23s/step] Training: 1%| | 506/70000 [10:28<23:25:53, 1.21s/step] Training: 1%| | 507/70000 [10:29<23:49:49, 1.23s/step] Training: 1%| | 508/70000 [10:30<23:29:59, 1.22s/step] Training: 1%| | 509/70000 [10:32<23:20:06, 1.21s/step] Training: 1%| | 510/70000 [10:33<23:36:02, 1.22s/step] Training: 1%| | 511/70000 [10:34<24:10:14, 1.25s/step] Training: 1%| | 512/70000 [10:35<23:47:20, 1.23s/step] Training: 1%| | 513/70000 [10:36<23:32:03, 1.22s/step] Training: 1%| | 514/70000 [10:38<23:21:53, 1.21s/step] Training: 1%| | 515/70000 [10:39<24:20:33, 1.26s/step] Training: 1%| | 516/70000 [10:40<23:52:19, 1.24s/step] Training: 1%| | 517/70000 [10:41<23:36:00, 1.22s/step] Training: 1%| | 518/70000 [10:43<24:15:32, 1.26s/step] Training: 1%| | 519/70000 [10:44<24:40:05, 1.28s/step] Training: 1%| | 520/70000 [10:45<24:09:25, 1.25s/step] Training: 1%| | 521/70000 [10:46<23:48:01, 1.23s/step] Training: 1%| | 522/70000 [10:48<23:32:49, 1.22s/step] Training: 1%| | 523/70000 [10:49<24:26:25, 1.27s/step] Training: 1%| | 524/70000 [10:50<23:57:17, 1.24s/step] Training: 1%| | 525/70000 [10:51<23:40:33, 1.23s/step] Training: 1%| | 526/70000 [10:53<24:18:11, 1.26s/step] Training: 1%| | 527/70000 [10:54<24:40:13, 1.28s/step] Training: 1%| | 528/70000 [10:55<24:09:30, 1.25s/step] Training: 1%| | 529/70000 [10:56<23:46:55, 1.23s/step] Training: 1%| | 530/70000 [10:58<23:32:34, 1.22s/step] Training: 1%| | 531/70000 [10:59<24:29:53, 1.27s/step] Training: 1%| | 532/70000 [11:00<23:58:06, 1.24s/step] Training: 1%| | 533/70000 [11:01<23:40:09, 1.23s/step] Training: 1%| | 534/70000 [11:03<24:33:36, 1.27s/step] Training: 1%| | 535/70000 [11:04<24:18:34, 1.26s/step] Training: 1%| | 536/70000 [11:05<23:54:29, 1.24s/step] Training: 1%| | 537/70000 [11:06<23:37:50, 1.22s/step] Training: 1%| | 538/70000 [11:08<23:25:51, 1.21s/step] Training: 1%| | 539/70000 [11:09<23:59:22, 1.24s/step] Training: 1%| | 540/70000 [11:10<23:40:42, 1.23s/step] Training: 1%| | 541/70000 [11:11<23:26:58, 1.22s/step] Training: 1%| | 542/70000 [11:13<23:39:35, 1.23s/step] Training: 1%| | 543/70000 [11:14<24:14:53, 1.26s/step] Training: 1%| | 544/70000 [11:15<23:52:20, 1.24s/step] Training: 1%| | 545/70000 [11:16<23:34:03, 1.22s/step] Training: 1%| | 546/70000 [11:17<23:21:08, 1.21s/step] Training: 1%| | 547/70000 [11:19<24:19:58, 1.26s/step] Training: 1%| | 548/70000 [11:20<23:51:51, 1.24s/step] Training: 1%| | 549/70000 [11:21<23:35:39, 1.22s/step] Training: 1%| | 550/70000 [11:23<24:17:58, 1.26s/step] Training: 1%| | 551/70000 [11:24<24:40:37, 1.28s/step] Training: 1%| | 552/70000 [11:25<24:09:43, 1.25s/step] Training: 1%| | 553/70000 [11:26<23:47:08, 1.23s/step] Training: 1%| | 554/70000 [11:27<23:33:14, 1.22s/step] Training: 1%| | 555/70000 [11:29<24:29:11, 1.27s/step] Training: 1%| | 556/70000 [11:30<23:58:03, 1.24s/step] Training: 1%| | 557/70000 [11:31<23:38:31, 1.23s/step] Training: 1%| | 558/70000 [11:32<24:18:01, 1.26s/step] Training: 1%| | 559/70000 [11:34<24:42:06, 1.28s/step] Training: 1%| | 560/70000 [11:35<24:11:50, 1.25s/step] Training: 1%| | 561/70000 [11:36<23:48:45, 1.23s/step] Training: 1%| | 562/70000 [11:37<23:33:28, 1.22s/step] Training: 1%| | 563/70000 [11:39<24:32:41, 1.27s/step] Training: 1%| | 564/70000 [11:40<24:00:28, 1.24s/step] Training: 1%| | 565/70000 [11:41<23:41:43, 1.23s/step] Training: 1%| | 566/70000 [11:43<24:43:20, 1.28s/step] Training: 1%| | 567/70000 [11:44<24:32:11, 1.27s/step] Training: 1%| | 568/70000 [11:45<24:03:06, 1.25s/step] Training: 1%| | 569/70000 [11:46<23:43:58, 1.23s/step] Training: 1%| | 570/70000 [11:47<23:30:56, 1.22s/step] Training: 1%| | 571/70000 [11:49<23:49:19, 1.24s/step] Training: 1%| | 572/70000 [11:50<23:30:24, 1.22s/step] Training: 1%| | 573/70000 [11:51<23:20:12, 1.21s/step] Training: 1%| | 574/70000 [11:52<23:43:24, 1.23s/step] Training: 1%| | 575/70000 [11:54<24:17:19, 1.26s/step] Training: 1%| | 576/70000 [11:55<23:52:45, 1.24s/step] Training: 1%| | 577/70000 [11:56<23:36:41, 1.22s/step] Training: 1%| | 578/70000 [11:57<23:25:29, 1.21s/step] Training: 1%| | 579/70000 [11:59<24:22:27, 1.26s/step] Training: 1%| | 580/70000 [12:00<23:53:33, 1.24s/step] Training: 1%| | 581/70000 [12:01<23:37:31, 1.23s/step] Training: 1%| | 582/70000 [12:02<24:15:53, 1.26s/step] Training: 1%| | 583/70000 [12:04<24:44:30, 1.28s/step] Training: 1%| | 584/70000 [12:05<24:11:51, 1.25s/step] Training: 1%| | 585/70000 [12:06<23:48:19, 1.23s/step] Training: 1%| | 586/70000 [12:07<23:33:46, 1.22s/step] Training: 1%| | 587/70000 [12:09<24:30:23, 1.27s/step] Training: 1%| | 588/70000 [12:10<24:01:26, 1.25s/step] Training: 1%| | 589/70000 [12:11<23:40:01, 1.23s/step] Training: 1%| | 590/70000 [12:12<24:18:17, 1.26s/step] Training: 1%| | 591/70000 [12:14<24:44:32, 1.28s/step] Training: 1%| | 592/70000 [12:15<24:11:54, 1.26s/step] Training: 1%| | 593/70000 [12:16<23:50:40, 1.24s/step] Training: 1%| | 594/70000 [12:17<23:34:07, 1.22s/step] Training: 1%| | 595/70000 [12:19<24:29:01, 1.27s/step] Training: 1%| | 596/70000 [12:20<24:00:36, 1.25s/step] Training: 1%| | 597/70000 [12:21<23:40:17, 1.23s/step] Training: 1%| | 598/70000 [12:22<24:40:33, 1.28s/step] Training: 1%| | 599/70000 [12:24<24:28:13, 1.27s/step] Training: 1%| | 600/70000 [12:25<24:01:13, 1.25s/step]INFO 2026-03-12 20:22:17 ot_train.py:435 step:600 smpl:38K ep:131 epch:0.51 loss:0.142 grdn:8.742 lr:1.4e-05 updt_s:1.222 data_s:0.019 Training: 1%| | 601/70000 [12:26<23:43:15, 1.23s/step] Training: 1%| | 602/70000 [12:27<23:31:00, 1.22s/step] Training: 1%| | 603/70000 [12:28<23:46:23, 1.23s/step] Training: 1%| | 604/70000 [12:30<23:28:16, 1.22s/step] Training: 1%| | 605/70000 [12:31<23:20:16, 1.21s/step] Training: 1%| | 606/70000 [12:32<23:39:04, 1.23s/step] Training: 1%| | 607/70000 [12:33<24:21:40, 1.26s/step] Training: 1%| | 608/70000 [12:35<23:56:14, 1.24s/step] Training: 1%| | 609/70000 [12:36<23:38:37, 1.23s/step] Training: 1%| | 610/70000 [12:37<23:26:14, 1.22s/step] Training: 1%| | 611/70000 [12:38<24:20:12, 1.26s/step] Training: 1%| | 612/70000 [12:40<23:53:30, 1.24s/step] Training: 1%| | 613/70000 [12:41<23:36:47, 1.23s/step] Training: 1%| | 614/70000 [12:42<24:12:41, 1.26s/step] Training: 1%| | 615/70000 [12:43<24:42:02, 1.28s/step] Training: 1%| | 616/70000 [12:45<24:11:09, 1.25s/step] Training: 1%| | 617/70000 [12:46<23:47:51, 1.23s/step] Training: 1%| | 618/70000 [12:47<23:31:16, 1.22s/step] Training: 1%| | 619/70000 [12:48<24:28:48, 1.27s/step] Training: 1%| | 620/70000 [12:50<23:57:29, 1.24s/step] Training: 1%| | 621/70000 [12:51<23:39:55, 1.23s/step] Training: 1%| | 622/70000 [12:52<24:17:03, 1.26s/step] Training: 1%| | 623/70000 [12:53<24:46:19, 1.29s/step] Training: 1%| | 624/70000 [12:55<24:13:23, 1.26s/step] Training: 1%| | 625/70000 [12:56<23:49:28, 1.24s/step] Training: 1%| | 626/70000 [12:57<23:32:36, 1.22s/step] Training: 1%| | 627/70000 [12:58<24:33:22, 1.27s/step] Training: 1%| | 628/70000 [13:00<24:01:50, 1.25s/step] Training: 1%| | 629/70000 [13:01<23:41:22, 1.23s/step] Training: 1%| | 630/70000 [13:02<24:34:48, 1.28s/step] Training: 1%| | 631/70000 [13:03<24:22:40, 1.27s/step] Training: 1%| | 632/70000 [13:05<23:55:33, 1.24s/step] Training: 1%| | 633/70000 [13:06<23:37:32, 1.23s/step] Training: 1%| | 634/70000 [13:07<23:23:17, 1.21s/step] Training: 1%| | 635/70000 [13:08<23:43:30, 1.23s/step] Training: 1%| | 636/70000 [13:09<23:25:36, 1.22s/step] Training: 1%| | 637/70000 [13:11<23:16:10, 1.21s/step] Training: 1%| | 638/70000 [13:12<23:42:23, 1.23s/step] Training: 1%| | 639/70000 [13:13<24:16:26, 1.26s/step] Training: 1%| | 640/70000 [13:14<23:54:18, 1.24s/step] Training: 1%| | 641/70000 [13:16<23:37:31, 1.23s/step] Training: 1%| | 642/70000 [13:17<23:25:37, 1.22s/step] Training: 1%| | 643/70000 [13:18<24:24:02, 1.27s/step] Training: 1%| | 644/70000 [13:19<23:55:08, 1.24s/step] Training: 1%| | 645/70000 [13:21<23:38:14, 1.23s/step] Training: 1%| | 646/70000 [13:22<24:19:36, 1.26s/step] Training: 1%| | 647/70000 [13:23<24:47:49, 1.29s/step] Training: 1%| | 648/70000 [13:25<25:01:37, 1.30s/step] Training: 1%| | 649/70000 [13:26<24:23:04, 1.27s/step] Training: 1%| | 650/70000 [13:27<23:56:02, 1.24s/step] Training: 1%| | 651/70000 [13:28<24:42:16, 1.28s/step] Training: 1%| | 652/70000 [13:30<24:06:46, 1.25s/step] Training: 1%| | 653/70000 [13:31<23:46:20, 1.23s/step] Training: 1%| | 654/70000 [13:32<24:23:29, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=27434 Training: 1%| | 655/70000 [13:33<24:47:17, 1.29s/step] Training: 1%| | 656/70000 [13:35<25:02:51, 1.30s/step] Training: 1%| | 657/70000 [13:36<24:27:08, 1.27s/step] Training: 1%| | 658/70000 [13:37<23:57:55, 1.24s/step] Training: 1%| | 659/70000 [13:38<24:46:37, 1.29s/step] Training: 1%| | 660/70000 [13:40<24:09:08, 1.25s/step] Training: 1%| | 661/70000 [13:41<23:46:07, 1.23s/step] Training: 1%| | 662/70000 [13:42<24:38:06, 1.28s/step] Training: 1%| | 663/70000 [13:43<24:17:14, 1.26s/step] Training: 1%| | 664/70000 [13:45<24:26:09, 1.27s/step] Training: 1%| | 665/70000 [13:46<23:59:25, 1.25s/step] Training: 1%| | 666/70000 [13:47<23:40:17, 1.23s/step] Training: 1%| | 667/70000 [13:48<23:53:53, 1.24s/step] Training: 1%| | 668/70000 [13:50<23:33:33, 1.22s/step] Training: 1%| | 669/70000 [13:51<23:22:49, 1.21s/step] Training: 1%| | 670/70000 [13:52<23:51:34, 1.24s/step] Training: 1%| | 671/70000 [13:53<24:27:36, 1.27s/step] Training: 1%| | 672/70000 [13:55<24:01:01, 1.25s/step] Training: 1%| | 673/70000 [13:56<23:39:35, 1.23s/step] Training: 1%| | 674/70000 [13:57<23:24:58, 1.22s/step] Training: 1%| | 675/70000 [13:58<24:24:38, 1.27s/step] Training: 1%| | 676/70000 [14:00<23:54:28, 1.24s/step] Training: 1%| | 677/70000 [14:01<23:36:37, 1.23s/step] Training: 1%| | 678/70000 [14:02<24:15:54, 1.26s/step] Training: 1%| | 679/70000 [14:03<24:42:04, 1.28s/step] Training: 1%| | 680/70000 [14:05<24:09:38, 1.25s/step] Training: 1%| | 681/70000 [14:06<23:47:02, 1.24s/step] Training: 1%| | 682/70000 [14:07<23:31:34, 1.22s/step] Training: 1%| | 683/70000 [14:08<24:27:00, 1.27s/step] Training: 1%| | 684/70000 [14:10<23:57:22, 1.24s/step] Training: 1%| | 685/70000 [14:11<23:38:28, 1.23s/step] Training: 1%| | 686/70000 [14:12<24:19:01, 1.26s/step] Training: 1%| | 687/70000 [14:13<24:42:53, 1.28s/step] Training: 1%| | 688/70000 [14:15<24:51:47, 1.29s/step] Training: 1%| | 689/70000 [14:16<24:16:14, 1.26s/step] Training: 1%| | 690/70000 [14:17<23:53:24, 1.24s/step] Training: 1%| | 691/70000 [14:18<24:45:44, 1.29s/step] Training: 1%| | 692/70000 [14:20<24:07:53, 1.25s/step] Training: 1%| | 693/70000 [14:21<23:46:33, 1.23s/step] Training: 1%| | 694/70000 [14:22<24:38:37, 1.28s/step] Training: 1%| | 695/70000 [14:23<24:10:24, 1.26s/step] Training: 1%| | 696/70000 [14:25<24:39:57, 1.28s/step] Training: 1%| | 697/70000 [14:26<24:10:17, 1.26s/step] Training: 1%| | 698/70000 [14:27<23:47:52, 1.24s/step] Training: 1%| | 699/70000 [14:28<24:08:58, 1.25s/step] Training: 1%| | 700/70000 [14:30<23:43:57, 1.23s/step]INFO 2026-03-12 20:24:22 ot_train.py:435 step:700 smpl:45K ep:152 epch:0.59 loss:0.142 grdn:8.398 lr:1.6e-05 updt_s:1.228 data_s:0.018 Training: 1%| | 701/70000 [14:31<23:28:51, 1.22s/step] Training: 1%| | 702/70000 [14:32<24:19:58, 1.26s/step] Training: 1%| | 703/70000 [14:34<24:40:55, 1.28s/step] Training: 1%| | 704/70000 [14:35<24:18:10, 1.26s/step] Training: 1%| | 705/70000 [14:36<23:52:38, 1.24s/step] Training: 1%| | 706/70000 [14:37<23:34:55, 1.23s/step] Training: 1%| | 707/70000 [14:39<24:31:55, 1.27s/step] Training: 1%| | 708/70000 [14:40<23:59:12, 1.25s/step] Training: 1%| | 709/70000 [14:41<23:40:10, 1.23s/step] Training: 1%| | 710/70000 [14:42<24:16:57, 1.26s/step] Training: 1%| | 711/70000 [14:44<24:39:34, 1.28s/step] Training: 1%| | 712/70000 [14:45<24:57:55, 1.30s/step] Training: 1%| | 713/70000 [14:46<24:21:42, 1.27s/step] Training: 1%| | 714/70000 [14:47<23:55:28, 1.24s/step] Training: 1%| | 715/70000 [14:49<24:53:09, 1.29s/step] Training: 1%| | 716/70000 [14:50<24:17:20, 1.26s/step] Training: 1%| | 717/70000 [14:51<23:53:24, 1.24s/step] Training: 1%| | 718/70000 [14:52<24:31:57, 1.27s/step] Training: 1%| | 719/70000 [14:54<24:50:51, 1.29s/step] Training: 1%| | 720/70000 [14:55<25:00:33, 1.30s/step] Training: 1%| | 721/70000 [14:56<24:21:48, 1.27s/step] Training: 1%| | 722/70000 [14:57<23:55:51, 1.24s/step] Training: 1%| | 723/70000 [14:59<24:42:12, 1.28s/step] Training: 1%| | 724/70000 [15:00<24:06:01, 1.25s/step] Training: 1%| | 725/70000 [15:01<23:43:45, 1.23s/step] Training: 1%| | 726/70000 [15:03<24:45:08, 1.29s/step] Training: 1%| | 727/70000 [15:04<24:16:57, 1.26s/step] Training: 1%| | 728/70000 [15:05<24:42:43, 1.28s/step] Training: 1%| | 729/70000 [15:06<24:08:58, 1.26s/step] Training: 1%| | 730/70000 [15:08<23:46:10, 1.24s/step] Training: 1%| | 731/70000 [15:09<23:47:01, 1.24s/step] Training: 1%| | 732/70000 [15:10<23:26:27, 1.22s/step] Training: 1%| | 733/70000 [15:11<23:15:58, 1.21s/step] Training: 1%| | 734/70000 [15:12<24:08:23, 1.25s/step] Training: 1%| | 735/70000 [15:14<24:34:35, 1.28s/step] Training: 1%| | 736/70000 [15:15<24:15:31, 1.26s/step] Training: 1%| | 737/70000 [15:16<23:51:00, 1.24s/step] Training: 1%| | 738/70000 [15:17<23:35:18, 1.23s/step] Training: 1%| | 739/70000 [15:19<24:22:31, 1.27s/step] Training: 1%| | 740/70000 [15:20<23:52:51, 1.24s/step] Training: 1%| | 741/70000 [15:21<23:34:47, 1.23s/step] Training: 1%| | 742/70000 [15:22<24:17:17, 1.26s/step] Training: 1%| | 743/70000 [15:24<24:40:23, 1.28s/step] Training: 1%| | 744/70000 [15:25<24:58:28, 1.30s/step] Training: 1%| | 745/70000 [15:26<24:20:40, 1.27s/step] Training: 1%| | 746/70000 [15:28<23:53:21, 1.24s/step] Training: 1%| | 747/70000 [15:29<24:34:45, 1.28s/step] Training: 1%| | 748/70000 [15:30<24:00:12, 1.25s/step] Training: 1%| | 749/70000 [15:31<23:40:20, 1.23s/step] Training: 1%| | 750/70000 [15:33<24:18:44, 1.26s/step] Training: 1%| | 751/70000 [15:34<24:38:05, 1.28s/step] Training: 1%| | 752/70000 [15:35<24:54:34, 1.29s/step] Training: 1%| | 753/70000 [15:36<24:18:13, 1.26s/step] Training: 1%| | 754/70000 [15:38<23:52:02, 1.24s/step] Training: 1%| | 755/70000 [15:39<24:31:37, 1.28s/step] Training: 1%| | 756/70000 [15:40<23:57:52, 1.25s/step] Training: 1%| | 757/70000 [15:41<23:43:20, 1.23s/step] Training: 1%| | 758/70000 [15:43<24:40:55, 1.28s/step] Training: 1%| | 759/70000 [15:44<24:16:25, 1.26s/step] Training: 1%| | 760/70000 [15:45<24:40:50, 1.28s/step] Training: 1%| | 761/70000 [15:47<24:10:20, 1.26s/step] Training: 1%| | 762/70000 [15:48<23:47:18, 1.24s/step] Training: 1%| | 763/70000 [15:49<23:49:05, 1.24s/step] Training: 1%| | 764/70000 [15:50<23:30:18, 1.22s/step] Training: 1%| | 765/70000 [15:51<23:20:16, 1.21s/step] Training: 1%| | 766/70000 [15:53<24:19:39, 1.26s/step] Training: 1%| | 767/70000 [15:54<24:38:46, 1.28s/step] Training: 1%| | 768/70000 [15:55<24:16:45, 1.26s/step] Training: 1%| | 769/70000 [15:56<23:54:15, 1.24s/step] Training: 1%| | 770/70000 [15:58<23:35:51, 1.23s/step] Training: 1%| | 771/70000 [15:59<24:22:39, 1.27s/step] Training: 1%| | 772/70000 [16:00<23:52:02, 1.24s/step] Training: 1%| | 773/70000 [16:01<23:35:19, 1.23s/step] Training: 1%| | 774/70000 [16:03<24:13:27, 1.26s/step] Training: 1%| | 775/70000 [16:04<24:39:14, 1.28s/step] Training: 1%| | 776/70000 [16:05<24:56:27, 1.30s/step] Training: 1%| | 777/70000 [16:07<24:19:05, 1.26s/step] Training: 1%| | 778/70000 [16:08<23:52:29, 1.24s/step] Training: 1%| | 779/70000 [16:09<24:33:16, 1.28s/step] Training: 1%| | 780/70000 [16:10<23:59:02, 1.25s/step] Training: 1%| | 781/70000 [16:11<23:40:46, 1.23s/step] Training: 1%| | 782/70000 [16:13<24:15:33, 1.26s/step] Training: 1%| | 783/70000 [16:14<24:45:18, 1.29s/step] Training: 1%| | 784/70000 [16:15<25:01:20, 1.30s/step] Training: 1%| | 785/70000 [16:17<24:22:03, 1.27s/step] Training: 1%| | 786/70000 [16:18<23:54:38, 1.24s/step] Training: 1%| | 787/70000 [16:19<24:37:19, 1.28s/step] Training: 1%| | 788/70000 [16:20<24:02:40, 1.25s/step] Training: 1%| | 789/70000 [16:22<23:41:46, 1.23s/step] Training: 1%| | 790/70000 [16:23<24:24:37, 1.27s/step] Training: 1%| | 791/70000 [16:24<24:08:32, 1.26s/step] Training: 1%| | 792/70000 [16:26<24:33:14, 1.28s/step] Training: 1%| | 793/70000 [16:27<24:02:59, 1.25s/step] Training: 1%| | 794/70000 [16:28<23:41:50, 1.23s/step] Training: 1%| | 795/70000 [16:29<23:48:10, 1.24s/step] Training: 1%| | 796/70000 [16:30<23:28:22, 1.22s/step] Training: 1%| | 797/70000 [16:32<23:17:52, 1.21s/step] Training: 1%| | 798/70000 [16:33<24:20:15, 1.27s/step] Training: 1%| | 799/70000 [16:34<24:46:16, 1.29s/step] Training: 1%| | 800/70000 [16:35<24:20:41, 1.27s/step]INFO 2026-03-12 20:26:28 ot_train.py:435 step:800 smpl:51K ep:174 epch:0.68 loss:0.150 grdn:10.055 lr:1.9e-05 updt_s:1.237 data_s:0.019 Training: 1%| | 801/70000 [16:37<23:53:58, 1.24s/step] Training: 1%| | 802/70000 [16:38<23:34:31, 1.23s/step] Training: 1%| | 803/70000 [16:39<24:24:40, 1.27s/step] Training: 1%| | 804/70000 [16:40<23:52:53, 1.24s/step] Training: 1%| | 805/70000 [16:42<23:34:26, 1.23s/step] Training: 1%| | 806/70000 [16:43<24:12:34, 1.26s/step] Training: 1%| | 807/70000 [16:44<24:35:34, 1.28s/step] Training: 1%| | 808/70000 [16:46<24:53:26, 1.30s/step] Training: 1%| | 809/70000 [16:47<24:16:42, 1.26s/step] Training: 1%| | 810/70000 [16:48<23:51:42, 1.24s/step] Training: 1%| | 811/70000 [16:49<24:31:24, 1.28s/step] Training: 1%| | 812/70000 [16:50<23:56:23, 1.25s/step] Training: 1%| | 813/70000 [16:52<23:36:38, 1.23s/step] Training: 1%| | 814/70000 [16:53<24:13:37, 1.26s/step] Training: 1%| | 815/70000 [16:54<24:37:14, 1.28s/step] Training: 1%| | 816/70000 [16:56<24:52:46, 1.29s/step] Training: 1%| | 817/70000 [16:57<24:16:06, 1.26s/step] Training: 1%| | 818/70000 [16:58<23:50:11, 1.24s/step] Training: 1%| | 819/70000 [16:59<24:30:23, 1.28s/step] Training: 1%| | 820/70000 [17:01<23:56:19, 1.25s/step] Training: 1%| | 821/70000 [17:02<23:35:39, 1.23s/step] Training: 1%| | 822/70000 [17:03<24:28:33, 1.27s/step] Training: 1%| | 823/70000 [17:04<24:02:50, 1.25s/step] Training: 1%| | 824/70000 [17:06<24:29:57, 1.27s/step] Training: 1%| | 825/70000 [17:07<24:00:55, 1.25s/step] Training: 1%| | 826/70000 [17:08<23:39:39, 1.23s/step] Training: 1%| | 827/70000 [17:09<23:49:22, 1.24s/step] Training: 1%| | 828/70000 [17:10<23:30:55, 1.22s/step] Training: 1%| | 829/70000 [17:12<23:18:44, 1.21s/step] Training: 1%| | 830/70000 [17:13<23:53:01, 1.24s/step] Training: 1%| | 831/70000 [17:14<24:19:32, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=17081 Training: 1%| | 832/70000 [17:16<23:59:17, 1.25s/step] Training: 1%| | 833/70000 [17:17<23:38:53, 1.23s/step] Training: 1%| | 834/70000 [17:18<23:26:31, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=27434 Training: 1%| | 835/70000 [17:19<24:12:45, 1.26s/step] Training: 1%| | 836/70000 [17:20<23:46:20, 1.24s/step] Training: 1%| | 837/70000 [17:22<23:29:15, 1.22s/step] Training: 1%| | 838/70000 [17:23<23:23:49, 1.22s/step] Training: 1%| | 839/70000 [17:24<24:37:06, 1.28s/step] Training: 1%| | 840/70000 [17:26<24:51:59, 1.29s/step] Training: 1%| | 841/70000 [17:27<24:14:42, 1.26s/step] Training: 1%| | 842/70000 [17:28<23:48:56, 1.24s/step] Training: 1%| | 843/70000 [17:29<24:33:05, 1.28s/step] Training: 1%| | 844/70000 [17:31<23:58:09, 1.25s/step] Training: 1%| | 845/70000 [17:32<23:37:19, 1.23s/step] Training: 1%| | 846/70000 [17:33<24:12:52, 1.26s/step] Training: 1%| | 847/70000 [17:34<24:33:24, 1.28s/step] Training: 1%| | 848/70000 [17:36<24:48:30, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29228 Training: 1%| | 849/70000 [17:37<24:14:18, 1.26s/step] Training: 1%| | 850/70000 [17:38<23:48:48, 1.24s/step] Training: 1%| | 851/70000 [17:39<24:33:41, 1.28s/step] Training: 1%| | 852/70000 [17:41<24:01:22, 1.25s/step] Training: 1%| | 853/70000 [17:42<23:38:20, 1.23s/step] Training: 1%| | 854/70000 [17:43<24:29:56, 1.28s/step] Training: 1%| | 855/70000 [17:44<24:03:30, 1.25s/step] Training: 1%| | 856/70000 [17:46<24:26:47, 1.27s/step] Training: 1%| | 857/70000 [17:47<23:57:08, 1.25s/step] Training: 1%| | 858/70000 [17:48<23:37:49, 1.23s/step] Training: 1%| | 859/70000 [17:49<23:45:44, 1.24s/step] Training: 1%| | 860/70000 [17:51<23:26:19, 1.22s/step] Training: 1%| | 861/70000 [17:52<23:16:03, 1.21s/step] Training: 1%| | 862/70000 [17:53<23:43:30, 1.24s/step] Training: 1%| | 863/70000 [17:54<24:14:35, 1.26s/step] Training: 1%| | 864/70000 [17:56<23:57:32, 1.25s/step] Training: 1%| | 865/70000 [17:57<23:36:50, 1.23s/step] Training: 1%| | 866/70000 [17:58<23:23:54, 1.22s/step] Training: 1%| | 867/70000 [17:59<24:16:49, 1.26s/step] Training: 1%| | 868/70000 [18:00<23:48:55, 1.24s/step] Training: 1%| | 869/70000 [18:02<23:31:10, 1.22s/step] Training: 1%| | 870/70000 [18:03<24:11:50, 1.26s/step] Training: 1%| | 871/70000 [18:04<24:39:24, 1.28s/step] Training: 1%| | 872/70000 [18:06<24:55:32, 1.30s/step] Training: 1%| | 873/70000 [18:07<24:17:08, 1.26s/step] Training: 1%| | 874/70000 [18:08<23:50:57, 1.24s/step] Training: 1%|▏ | 875/70000 [18:09<24:28:10, 1.27s/step] Training: 1%|▏ | 876/70000 [18:11<23:54:55, 1.25s/step] Training: 1%|▏ | 877/70000 [18:12<23:35:08, 1.23s/step] Training: 1%|▏ | 878/70000 [18:13<24:14:44, 1.26s/step] Training: 1%|▏ | 879/70000 [18:14<24:35:22, 1.28s/step] Training: 1%|▏ | 880/70000 [18:16<24:53:35, 1.30s/step] Training: 1%|▏ | 881/70000 [18:17<24:15:44, 1.26s/step] Training: 1%|▏ | 882/70000 [18:18<23:50:39, 1.24s/step] Training: 1%|▏ | 883/70000 [18:19<24:31:13, 1.28s/step] Training: 1%|▏ | 884/70000 [18:21<23:58:34, 1.25s/step] Training: 1%|▏ | 885/70000 [18:22<23:38:00, 1.23s/step] Training: 1%|▏ | 886/70000 [18:23<24:27:40, 1.27s/step] Training: 1%|▏ | 887/70000 [18:25<24:48:28, 1.29s/step] Training: 1%|▏ | 888/70000 [18:26<24:59:46, 1.30s/step] Training: 1%|▏ | 889/70000 [18:27<24:20:15, 1.27s/step] Training: 1%|▏ | 890/70000 [18:28<23:56:23, 1.25s/step] Training: 1%|▏ | 891/70000 [18:30<23:53:12, 1.24s/step] Training: 1%|▏ | 892/70000 [18:31<23:29:58, 1.22s/step] Training: 1%|▏ | 893/70000 [18:32<23:17:15, 1.21s/step] Training: 1%|▏ | 894/70000 [18:33<23:34:23, 1.23s/step] Training: 1%|▏ | 895/70000 [18:35<24:44:16, 1.29s/step] Training: 1%|▏ | 896/70000 [18:36<24:17:25, 1.27s/step] Training: 1%|▏ | 897/70000 [18:37<23:53:43, 1.24s/step] Training: 1%|▏ | 898/70000 [18:38<23:35:25, 1.23s/step] Training: 1%|▏ | 899/70000 [18:40<24:17:41, 1.27s/step] Training: 1%|▏ | 900/70000 [18:41<23:47:34, 1.24s/step]INFO 2026-03-12 20:28:33 ot_train.py:435 step:900 smpl:58K ep:196 epch:0.76 loss:0.160 grdn:11.117 lr:2.1e-05 updt_s:1.231 data_s:0.019 Training: 1%|▏ | 901/70000 [18:42<23:30:06, 1.22s/step] Training: 1%|▏ | 902/70000 [18:43<24:14:04, 1.26s/step] Training: 1%|▏ | 903/70000 [18:45<24:38:26, 1.28s/step] Training: 1%|▏ | 904/70000 [18:46<24:55:22, 1.30s/step] Training: 1%|▏ | 905/70000 [18:47<24:17:22, 1.27s/step] Training: 1%|▏ | 906/70000 [18:48<23:52:03, 1.24s/step] Training: 1%|▏ | 907/70000 [18:49<23:33:20, 1.23s/step] Training: 1%|▏ | 908/70000 [18:51<24:16:43, 1.27s/step] Training: 1%|▏ | 909/70000 [18:52<23:46:33, 1.24s/step] Training: 1%|▏ | 910/70000 [18:53<24:18:28, 1.27s/step] Training: 1%|▏ | 911/70000 [18:55<25:11:37, 1.31s/step] Training: 1%|▏ | 912/70000 [18:56<25:19:51, 1.32s/step] Training: 1%|▏ | 913/70000 [18:57<24:35:33, 1.28s/step] Training: 1%|▏ | 914/70000 [18:58<24:04:22, 1.25s/step] Training: 1%|▏ | 915/70000 [19:00<23:43:06, 1.24s/step] Training: 1%|▏ | 916/70000 [19:01<24:20:57, 1.27s/step] Training: 1%|▏ | 917/70000 [19:02<23:50:24, 1.24s/step] Training: 1%|▏ | 918/70000 [19:04<24:35:53, 1.28s/step] Training: 1%|▏ | 919/70000 [19:05<24:49:20, 1.29s/step] Training: 1%|▏ | 920/70000 [19:06<25:03:34, 1.31s/step] Training: 1%|▏ | 921/70000 [19:07<24:21:48, 1.27s/step] Training: 1%|▏ | 922/70000 [19:09<23:53:48, 1.25s/step] Training: 1%|▏ | 923/70000 [19:10<23:34:24, 1.23s/step] Training: 1%|▏ | 924/70000 [19:11<23:29:56, 1.22s/step] Training: 1%|▏ | 925/70000 [19:12<23:14:34, 1.21s/step] Training: 1%|▏ | 926/70000 [19:13<23:30:25, 1.23s/step] Training: 1%|▏ | 927/70000 [19:15<24:05:24, 1.26s/step] Training: 1%|▏ | 928/70000 [19:16<23:46:50, 1.24s/step] Training: 1%|▏ | 929/70000 [19:17<23:29:17, 1.22s/step] Training: 1%|▏ | 930/70000 [19:18<23:17:34, 1.21s/step] Training: 1%|▏ | 931/70000 [19:20<23:08:34, 1.21s/step] Training: 1%|▏ | 932/70000 [19:21<24:10:55, 1.26s/step] Training: 1%|▏ | 933/70000 [19:22<23:42:18, 1.24s/step] Training: 1%|▏ | 934/70000 [19:23<24:18:25, 1.27s/step] Training: 1%|▏ | 935/70000 [19:25<24:37:55, 1.28s/step] Training: 1%|▏ | 936/70000 [19:26<24:54:17, 1.30s/step] Training: 1%|▏ | 937/70000 [19:27<24:16:55, 1.27s/step] Training: 1%|▏ | 938/70000 [19:28<23:50:57, 1.24s/step] Training: 1%|▏ | 939/70000 [19:30<23:34:32, 1.23s/step] Training: 1%|▏ | 940/70000 [19:31<24:18:18, 1.27s/step] Training: 1%|▏ | 941/70000 [19:32<23:48:50, 1.24s/step] Training: 1%|▏ | 942/70000 [19:34<24:23:06, 1.27s/step] Training: 1%|▏ | 943/70000 [19:35<24:42:08, 1.29s/step] Training: 1%|▏ | 944/70000 [19:36<24:53:54, 1.30s/step] Training: 1%|▏ | 945/70000 [19:37<24:15:42, 1.26s/step] Training: 1%|▏ | 946/70000 [19:39<23:50:18, 1.24s/step] Training: 1%|▏ | 947/70000 [19:40<23:31:49, 1.23s/step] Training: 1%|▏ | 948/70000 [19:41<23:40:58, 1.23s/step] Training: 1%|▏ | 949/70000 [19:42<23:20:46, 1.22s/step] Training: 1%|▏ | 950/70000 [19:43<23:26:50, 1.22s/step] Training: 1%|▏ | 951/70000 [19:45<24:35:29, 1.28s/step] Training: 1%|▏ | 952/70000 [19:46<24:52:00, 1.30s/step] Training: 1%|▏ | 953/70000 [19:47<24:15:51, 1.27s/step] Training: 1%|▏ | 954/70000 [19:49<23:50:27, 1.24s/step] Training: 1%|▏ | 955/70000 [19:50<23:30:21, 1.23s/step] Training: 1%|▏ | 956/70000 [19:51<24:15:59, 1.27s/step] Training: 1%|▏ | 957/70000 [19:52<23:45:55, 1.24s/step] Training: 1%|▏ | 958/70000 [19:54<23:39:36, 1.23s/step] Training: 1%|▏ | 959/70000 [19:55<24:52:00, 1.30s/step] Training: 1%|▏ | 960/70000 [19:56<24:25:45, 1.27s/step] Training: 1%|▏ | 961/70000 [19:57<23:56:30, 1.25s/step] Training: 1%|▏ | 962/70000 [19:59<23:37:32, 1.23s/step] Training: 1%|▏ | 963/70000 [20:00<23:24:21, 1.22s/step] Training: 1%|▏ | 964/70000 [20:01<24:08:14, 1.26s/step] Training: 1%|▏ | 965/70000 [20:02<23:40:43, 1.23s/step] Training: 1%|▏ | 966/70000 [20:04<24:14:23, 1.26s/step] Training: 1%|▏ | 967/70000 [20:05<24:36:23, 1.28s/step] Training: 1%|▏ | 968/70000 [20:06<24:52:30, 1.30s/step] Training: 1%|▏ | 969/70000 [20:07<24:18:33, 1.27s/step] Training: 1%|▏ | 970/70000 [20:09<23:47:50, 1.24s/step] Training: 1%|▏ | 971/70000 [20:10<23:31:18, 1.23s/step] Training: 1%|▏ | 972/70000 [20:11<24:15:54, 1.27s/step] Training: 1%|▏ | 973/70000 [20:12<23:48:49, 1.24s/step] Training: 1%|▏ | 974/70000 [20:14<24:24:54, 1.27s/step] Training: 1%|▏ | 975/70000 [20:15<25:16:59, 1.32s/step] Training: 1%|▏ | 976/70000 [20:16<25:20:11, 1.32s/step] Training: 1%|▏ | 977/70000 [20:18<24:34:44, 1.28s/step] Training: 1%|▏ | 978/70000 [20:19<24:03:20, 1.25s/step] Training: 1%|▏ | 979/70000 [20:20<23:41:22, 1.24s/step] Training: 1%|▏ | 980/70000 [20:21<23:44:18, 1.24s/step] Training: 1%|▏ | 981/70000 [20:22<23:24:03, 1.22s/step] Training: 1%|▏ | 982/70000 [20:24<24:15:05, 1.26s/step] Training: 1%|▏ | 983/70000 [20:25<24:37:12, 1.28s/step] Training: 1%|▏ | 984/70000 [20:27<25:31:20, 1.33s/step] Training: 1%|▏ | 985/70000 [20:28<24:44:52, 1.29s/step] Training: 1%|▏ | 986/70000 [20:29<24:09:33, 1.26s/step] Training: 1%|▏ | 987/70000 [20:30<23:47:27, 1.24s/step] Training: 1%|▏ | 988/70000 [20:32<24:27:26, 1.28s/step] Training: 1%|▏ | 989/70000 [20:33<23:55:51, 1.25s/step] Training: 1%|▏ | 990/70000 [20:34<23:53:37, 1.25s/step] Training: 1%|▏ | 991/70000 [20:35<24:21:29, 1.27s/step] Training: 1%|▏ | 992/70000 [20:37<24:36:08, 1.28s/step] Training: 1%|▏ | 993/70000 [20:38<24:04:13, 1.26s/step] Training: 1%|▏ | 994/70000 [20:39<23:42:23, 1.24s/step] Training: 1%|▏ | 995/70000 [20:40<23:26:07, 1.22s/step] Training: 1%|▏ | 996/70000 [20:42<24:10:58, 1.26s/step] Training: 1%|▏ | 997/70000 [20:43<23:42:39, 1.24s/step] Training: 1%|▏ | 998/70000 [20:44<24:14:23, 1.26s/step] Training: 1%|▏ | 999/70000 [20:46<25:39:26, 1.34s/step] Training: 1%|▏ | 1000/70000 [20:47<25:38:46, 1.34s/step]INFO 2026-03-12 20:30:39 ot_train.py:435 step:1K smpl:64K ep:218 epch:0.85 loss:0.190 grdn:13.326 lr:2.4e-05 updt_s:1.241 data_s:0.019 Training: 1%|▏ | 1001/70000 [20:48<24:47:15, 1.29s/step] Training: 1%|▏ | 1002/70000 [20:49<24:12:52, 1.26s/step] Training: 1%|▏ | 1003/70000 [20:50<23:47:11, 1.24s/step] Training: 1%|▏ | 1004/70000 [20:52<24:30:01, 1.28s/step] Training: 1%|▏ | 1005/70000 [20:53<23:56:16, 1.25s/step] Training: 1%|▏ | 1006/70000 [20:54<24:26:30, 1.28s/step] Training: 1%|▏ | 1007/70000 [20:56<25:30:05, 1.33s/step] Training: 1%|▏ | 1008/70000 [20:57<25:31:21, 1.33s/step] Training: 1%|▏ | 1009/70000 [20:58<24:43:46, 1.29s/step] Training: 1%|▏ | 1010/70000 [21:00<24:10:09, 1.26s/step] Training: 1%|▏ | 1011/70000 [21:01<23:44:17, 1.24s/step] Training: 1%|▏ | 1012/70000 [21:02<23:48:32, 1.24s/step] Training: 1%|▏ | 1013/70000 [21:03<23:27:08, 1.22s/step] Training: 1%|▏ | 1014/70000 [21:04<23:35:19, 1.23s/step] Training: 1%|▏ | 1015/70000 [21:06<23:58:02, 1.25s/step] Training: 1%|▏ | 1016/70000 [21:07<24:29:37, 1.28s/step] Training: 1%|▏ | 1017/70000 [21:08<23:58:59, 1.25s/step] Training: 1%|▏ | 1018/70000 [21:09<23:38:11, 1.23s/step] Training: 1%|▏ | 1019/70000 [21:11<23:22:44, 1.22s/step] Training: 1%|▏ | 1020/70000 [21:12<24:15:49, 1.27s/step] Training: 1%|▏ | 1021/70000 [21:13<23:46:18, 1.24s/step] Training: 1%|▏ | 1022/70000 [21:14<23:43:32, 1.24s/step] Training: 1%|▏ | 1023/70000 [21:16<24:18:38, 1.27s/step] Training: 1%|▏ | 1024/70000 [21:17<23:56:58, 1.25s/step] Training: 1%|▏ | 1025/70000 [21:18<23:37:20, 1.23s/step] Training: 1%|▏ | 1026/70000 [21:19<23:23:06, 1.22s/step] Training: 1%|▏ | 1027/70000 [21:21<23:14:45, 1.21s/step] Training: 1%|▏ | 1028/70000 [21:22<24:07:10, 1.26s/step] Training: 1%|▏ | 1029/70000 [21:23<23:39:55, 1.24s/step] Training: 1%|▏ | 1030/70000 [21:24<24:09:38, 1.26s/step] Training: 1%|▏ | 1031/70000 [21:26<24:41:23, 1.29s/step] Training: 1%|▏ | 1032/70000 [21:27<24:58:27, 1.30s/step] Training: 1%|▏ | 1033/70000 [21:28<24:18:29, 1.27s/step] Training: 1%|▏ | 1034/70000 [21:29<23:51:27, 1.25s/step] Training: 1%|▏ | 1035/70000 [21:31<23:32:12, 1.23s/step] Training: 1%|▏ | 1036/70000 [21:32<24:17:25, 1.27s/step] Training: 1%|▏ | 1037/70000 [21:33<23:47:07, 1.24s/step] Training: 1%|▏ | 1038/70000 [21:35<24:16:10, 1.27s/step] Training: 1%|▏ | 1039/70000 [21:36<24:52:14, 1.30s/step] Training: 1%|▏ | 1040/70000 [21:37<25:00:27, 1.31s/step] Training: 1%|▏ | 1041/70000 [21:38<24:20:47, 1.27s/step] Training: 1%|▏ | 1042/70000 [21:40<23:51:38, 1.25s/step] Training: 1%|▏ | 1043/70000 [21:41<23:31:28, 1.23s/step] Training: 1%|▏ | 1044/70000 [21:42<23:33:56, 1.23s/step] Training: 1%|▏ | 1045/70000 [21:43<23:16:39, 1.22s/step] Training: 1%|▏ | 1046/70000 [21:44<23:24:51, 1.22s/step] Training: 1%|▏ | 1047/70000 [21:46<23:35:10, 1.23s/step] Training: 1%|▏ | 1048/70000 [21:47<24:07:18, 1.26s/step] Training: 1%|▏ | 1049/70000 [21:48<23:43:35, 1.24s/step] Training: 2%|▏ | 1050/70000 [21:49<23:25:49, 1.22s/step] Training: 2%|▏ | 1051/70000 [21:51<23:14:19, 1.21s/step] Training: 2%|▏ | 1052/70000 [21:52<24:06:51, 1.26s/step] Training: 2%|▏ | 1053/70000 [21:53<23:39:18, 1.24s/step] Training: 2%|▏ | 1054/70000 [21:54<23:40:45, 1.24s/step] Training: 2%|▏ | 1055/70000 [21:56<24:13:31, 1.26s/step] Training: 2%|▏ | 1056/70000 [21:57<23:51:13, 1.25s/step] Training: 2%|▏ | 1057/70000 [21:58<23:32:45, 1.23s/step] Training: 2%|▏ | 1058/70000 [21:59<23:20:07, 1.22s/step] Training: 2%|▏ | 1059/70000 [22:00<23:09:06, 1.21s/step] Training: 2%|▏ | 1060/70000 [22:02<24:00:50, 1.25s/step] Training: 2%|▏ | 1061/70000 [22:03<23:34:18, 1.23s/step] Training: 2%|▏ | 1062/70000 [22:04<24:07:14, 1.26s/step] Training: 2%|▏ | 1063/70000 [22:06<24:30:35, 1.28s/step] Training: 2%|▏ | 1064/70000 [22:07<24:49:28, 1.30s/step] Training: 2%|▏ | 1065/70000 [22:08<24:13:22, 1.26s/step] Training: 2%|▏ | 1066/70000 [22:09<23:46:38, 1.24s/step] Training: 2%|▏ | 1067/70000 [22:11<23:27:53, 1.23s/step] Training: 2%|▏ | 1068/70000 [22:12<23:35:04, 1.23s/step] Training: 2%|▏ | 1069/70000 [22:13<23:19:53, 1.22s/step] Training: 2%|▏ | 1070/70000 [22:14<23:59:16, 1.25s/step] Training: 2%|▏ | 1071/70000 [22:16<23:53:30, 1.25s/step] Training: 2%|▏ | 1072/70000 [22:17<24:19:59, 1.27s/step] Training: 2%|▏ | 1073/70000 [22:18<24:38:24, 1.29s/step] Training: 2%|▏ | 1074/70000 [22:19<24:06:25, 1.26s/step] Training: 2%|▏ | 1075/70000 [22:21<23:40:54, 1.24s/step] Training: 2%|▏ | 1076/70000 [22:22<23:38:11, 1.23s/step] Training: 2%|▏ | 1077/70000 [22:23<23:19:26, 1.22s/step] Training: 2%|▏ | 1078/70000 [22:24<23:25:16, 1.22s/step] Training: 2%|▏ | 1079/70000 [22:26<23:53:16, 1.25s/step] Training: 2%|▏ | 1080/70000 [22:27<24:17:01, 1.27s/step] Training: 2%|▏ | 1081/70000 [22:28<24:32:35, 1.28s/step] Training: 2%|▏ | 1082/70000 [22:29<24:00:20, 1.25s/step] Training: 2%|▏ | 1083/70000 [22:31<23:37:57, 1.23s/step] Training: 2%|▏ | 1084/70000 [22:32<23:22:23, 1.22s/step] Training: 2%|▏ | 1085/70000 [22:33<24:08:03, 1.26s/step] Training: 2%|▏ | 1086/70000 [22:34<24:27:14, 1.28s/step] Training: 2%|▏ | 1087/70000 [22:36<24:47:07, 1.29s/step] Training: 2%|▏ | 1088/70000 [22:37<24:10:18, 1.26s/step] Training: 2%|▏ | 1089/70000 [22:38<24:28:07, 1.28s/step] Training: 2%|▏ | 1090/70000 [22:39<23:57:26, 1.25s/step] Training: 2%|▏ | 1091/70000 [22:41<23:36:50, 1.23s/step] Training: 2%|▏ | 1092/70000 [22:42<23:20:47, 1.22s/step] Training: 2%|▏ | 1093/70000 [22:43<23:38:32, 1.24s/step] Training: 2%|▏ | 1094/70000 [22:44<24:11:55, 1.26s/step] Training: 2%|▏ | 1095/70000 [22:46<24:41:13, 1.29s/step] Training: 2%|▏ | 1096/70000 [22:47<25:36:53, 1.34s/step] Training: 2%|▏ | 1097/70000 [22:48<24:44:56, 1.29s/step] Training: 2%|▏ | 1098/70000 [22:50<24:09:34, 1.26s/step] Training: 2%|▏ | 1099/70000 [22:51<23:44:55, 1.24s/step] Training: 2%|▏ | 1100/70000 [22:52<23:26:13, 1.22s/step]INFO 2026-03-12 20:32:44 ot_train.py:435 step:1K smpl:70K ep:240 epch:0.93 loss:0.219 grdn:15.477 lr:2.5e-05 updt_s:1.230 data_s:0.019 Training: 2%|▏ | 1101/70000 [22:53<23:31:22, 1.23s/step] Training: 2%|▏ | 1102/70000 [22:55<24:05:33, 1.26s/step] Training: 2%|▏ | 1103/70000 [22:56<24:43:08, 1.29s/step] Training: 2%|▏ | 1104/70000 [22:57<25:04:13, 1.31s/step] Training: 2%|▏ | 1105/70000 [22:59<25:09:59, 1.32s/step] Training: 2%|▏ | 1106/70000 [23:00<24:26:53, 1.28s/step] Training: 2%|▏ | 1107/70000 [23:01<23:55:54, 1.25s/step] Training: 2%|▏ | 1108/70000 [23:02<23:38:34, 1.24s/step] Training: 2%|▏ | 1109/70000 [23:04<24:17:15, 1.27s/step] Training: 2%|▏ | 1110/70000 [23:05<24:50:25, 1.30s/step] Training: 2%|▏ | 1111/70000 [23:06<24:58:49, 1.31s/step] Training: 2%|▏ | 1112/70000 [23:07<24:30:55, 1.28s/step] Training: 2%|▏ | 1113/70000 [23:09<24:46:55, 1.30s/step] Training: 2%|▏ | 1114/70000 [23:10<24:10:23, 1.26s/step] Training: 2%|▏ | 1115/70000 [23:11<23:43:53, 1.24s/step] Training: 2%|▏ | 1116/70000 [23:12<23:28:35, 1.23s/step] Training: 2%|▏ | 1117/70000 [23:14<24:12:23, 1.27s/step] Training: 2%|▏ | 1118/70000 [23:15<24:29:05, 1.28s/step] Training: 2%|▏ | 1119/70000 [23:16<24:44:46, 1.29s/step] Training: 2%|▏ | 1120/70000 [23:18<24:54:17, 1.30s/step] Training: 2%|▏ | 1121/70000 [23:19<24:16:18, 1.27s/step] Training: 2%|▏ | 1122/70000 [23:20<23:49:14, 1.25s/step] Training: 2%|▏ | 1123/70000 [23:21<23:29:31, 1.23s/step] Training: 2%|▏ | 1124/70000 [23:22<23:16:56, 1.22s/step] Training: 2%|▏ | 1125/70000 [23:24<24:07:11, 1.26s/step] Training: 2%|▏ | 1126/70000 [23:25<24:24:17, 1.28s/step] Training: 2%|▏ | 1127/70000 [23:26<24:39:35, 1.29s/step] Training: 2%|▏ | 1128/70000 [23:28<24:56:32, 1.30s/step] Training: 2%|▏ | 1129/70000 [23:29<24:17:12, 1.27s/step] Training: 2%|▏ | 1130/70000 [23:30<23:48:57, 1.24s/step] Training: 2%|▏ | 1131/70000 [23:31<23:30:38, 1.23s/step] Training: 2%|▏ | 1132/70000 [23:32<23:16:46, 1.22s/step] Training: 2%|▏ | 1133/70000 [23:34<23:25:19, 1.22s/step] Training: 2%|▏ | 1134/70000 [23:35<24:00:33, 1.26s/step] Training: 2%|▏ | 1135/70000 [23:36<24:39:27, 1.29s/step] Training: 2%|▏ | 1136/70000 [23:38<25:06:51, 1.31s/step] Training: 2%|▏ | 1137/70000 [23:39<24:24:51, 1.28s/step] Training: 2%|▏ | 1138/70000 [23:40<23:54:44, 1.25s/step] Training: 2%|▏ | 1139/70000 [23:41<23:33:25, 1.23s/step] Training: 2%|▏ | 1140/70000 [23:43<23:19:55, 1.22s/step] Training: 2%|▏ | 1141/70000 [23:44<24:10:17, 1.26s/step] Training: 2%|▏ | 1142/70000 [23:45<24:43:26, 1.29s/step] Training: 2%|▏ | 1143/70000 [23:47<24:59:46, 1.31s/step] Training: 2%|▏ | 1144/70000 [23:48<24:38:26, 1.29s/step] Training: 2%|▏ | 1145/70000 [23:49<24:06:34, 1.26s/step] Training: 2%|▏ | 1146/70000 [23:50<23:41:03, 1.24s/step] Training: 2%|▏ | 1147/70000 [23:51<23:24:00, 1.22s/step] Training: 2%|▏ | 1148/70000 [23:53<23:12:04, 1.21s/step] Training: 2%|▏ | 1149/70000 [23:54<24:01:28, 1.26s/step] Training: 2%|▏ | 1150/70000 [23:55<24:21:24, 1.27s/step] Training: 2%|▏ | 1151/70000 [23:57<24:42:02, 1.29s/step] Training: 2%|▏ | 1152/70000 [23:58<24:52:38, 1.30s/step] Training: 2%|▏ | 1153/70000 [23:59<24:13:49, 1.27s/step] Training: 2%|▏ | 1154/70000 [24:00<23:46:27, 1.24s/step] Training: 2%|▏ | 1155/70000 [24:02<23:28:31, 1.23s/step] Training: 2%|▏ | 1156/70000 [24:03<23:15:09, 1.22s/step] Training: 2%|▏ | 1157/70000 [24:04<24:06:30, 1.26s/step] Training: 2%|▏ | 1158/70000 [24:05<24:33:23, 1.28s/step] Training: 2%|▏ | 1159/70000 [24:07<24:53:40, 1.30s/step] Training: 2%|▏ | 1160/70000 [24:08<25:02:47, 1.31s/step] Training: 2%|▏ | 1161/70000 [24:09<25:07:26, 1.31s/step] Training: 2%|▏ | 1162/70000 [24:11<24:24:13, 1.28s/step] Training: 2%|▏ | 1163/70000 [24:12<23:53:24, 1.25s/step] Training: 2%|▏ | 1164/70000 [24:13<23:34:31, 1.23s/step] Training: 2%|▏ | 1165/70000 [24:14<23:43:04, 1.24s/step] Training: 2%|▏ | 1166/70000 [24:16<24:09:19, 1.26s/step] Training: 2%|▏ | 1167/70000 [24:17<24:48:41, 1.30s/step] Training: 2%|▏ | 1168/70000 [24:18<24:25:14, 1.28s/step] Training: 2%|▏ | 1169/70000 [24:19<24:18:50, 1.27s/step] Training: 2%|▏ | 1170/70000 [24:21<23:49:12, 1.25s/step] Training: 2%|▏ | 1171/70000 [24:22<23:33:14, 1.23s/step] Training: 2%|▏ | 1172/70000 [24:23<23:18:23, 1.22s/step] Training: 2%|▏ | 1173/70000 [24:24<23:07:47, 1.21s/step] Training: 2%|▏ | 1174/70000 [24:26<24:30:59, 1.28s/step] Training: 2%|▏ | 1175/70000 [24:27<24:50:40, 1.30s/step] Training: 2%|▏ | 1176/70000 [24:28<24:17:40, 1.27s/step] Training: 2%|▏ | 1177/70000 [24:29<23:56:47, 1.25s/step] Training: 2%|▏ | 1178/70000 [24:31<23:34:56, 1.23s/step] Training: 2%|▏ | 1179/70000 [24:32<23:17:41, 1.22s/step] Training: 2%|▏ | 1180/70000 [24:34<28:46:02, 1.50s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 2%|▏ | 1181/70000 [24:38<42:10:39, 2.21s/step] Training: 2%|▏ | 1182/70000 [24:39<38:07:53, 1.99s/step] Training: 2%|▏ | 1183/70000 [24:41<34:40:53, 1.81s/step] Training: 2%|▏ | 1184/70000 [24:42<32:13:33, 1.69s/step] Training: 2%|▏ | 1185/70000 [24:43<30:32:28, 1.60s/step] Training: 2%|▏ | 1186/70000 [24:45<28:10:56, 1.47s/step] Training: 2%|▏ | 1187/70000 [24:46<26:34:50, 1.39s/step] Training: 2%|▏ | 1188/70000 [24:47<25:25:48, 1.33s/step] Training: 2%|▏ | 1189/70000 [24:48<24:36:38, 1.29s/step] Training: 2%|▏ | 1190/70000 [24:50<24:52:10, 1.30s/step] Training: 2%|▏ | 1191/70000 [24:51<25:06:28, 1.31s/step] Training: 2%|▏ | 1192/70000 [24:52<25:14:09, 1.32s/step] Training: 2%|▏ | 1193/70000 [24:54<25:18:40, 1.32s/step] Training: 2%|▏ | 1194/70000 [24:55<24:31:18, 1.28s/step] Training: 2%|▏ | 1195/70000 [24:56<23:58:42, 1.25s/step] Training: 2%|▏ | 1196/70000 [24:57<23:37:01, 1.24s/step] Training: 2%|▏ | 1197/70000 [24:58<23:20:20, 1.22s/step] Training: 2%|▏ | 1198/70000 [25:00<24:07:52, 1.26s/step] Training: 2%|▏ | 1199/70000 [25:01<24:46:04, 1.30s/step] Training: 2%|▏ | 1200/70000 [25:02<24:56:04, 1.30s/step]INFO 2026-03-12 20:34:55 ot_train.py:435 step:1K smpl:77K ep:261 epch:1.02 loss:0.228 grdn:16.002 lr:2.5e-05 updt_s:1.247 data_s:0.054 Training: 2%|▏ | 1201/70000 [25:04<25:04:42, 1.31s/step] Training: 2%|▏ | 1202/70000 [25:05<24:23:41, 1.28s/step] Training: 2%|▏ | 1203/70000 [25:06<23:56:36, 1.25s/step] Training: 2%|▏ | 1204/70000 [25:07<23:34:34, 1.23s/step] Training: 2%|▏ | 1205/70000 [25:08<23:19:11, 1.22s/step] Training: 2%|▏ | 1206/70000 [25:10<24:18:26, 1.27s/step] Training: 2%|▏ | 1207/70000 [25:11<24:34:58, 1.29s/step] Training: 2%|▏ | 1208/70000 [25:12<24:08:16, 1.26s/step] Training: 2%|▏ | 1209/70000 [25:14<23:55:03, 1.25s/step] Training: 2%|▏ | 1210/70000 [25:15<23:34:30, 1.23s/step] Training: 2%|▏ | 1211/70000 [25:16<23:19:26, 1.22s/step] Training: 2%|▏ | 1212/70000 [25:17<23:09:30, 1.21s/step] Training: 2%|▏ | 1213/70000 [25:18<23:03:30, 1.21s/step] Training: 2%|▏ | 1214/70000 [25:20<23:19:19, 1.22s/step] Training: 2%|▏ | 1215/70000 [25:21<24:30:09, 1.28s/step] Training: 2%|▏ | 1216/70000 [25:22<24:45:43, 1.30s/step] Training: 2%|▏ | 1217/70000 [25:24<24:59:40, 1.31s/step] Training: 2%|▏ | 1218/70000 [25:25<24:18:25, 1.27s/step] Training: 2%|▏ | 1219/70000 [25:26<23:49:33, 1.25s/step] Training: 2%|▏ | 1220/70000 [25:27<23:27:52, 1.23s/step] Training: 2%|▏ | 1221/70000 [25:28<23:13:58, 1.22s/step] Training: 2%|▏ | 1222/70000 [25:30<23:52:57, 1.25s/step] Training: 2%|▏ | 1223/70000 [25:31<25:00:42, 1.31s/step] Training: 2%|▏ | 1224/70000 [25:33<25:09:26, 1.32s/step] Training: 2%|▏ | 1225/70000 [25:34<25:20:12, 1.33s/step] Training: 2%|▏ | 1226/70000 [25:35<24:34:09, 1.29s/step] Training: 2%|▏ | 1227/70000 [25:36<24:03:18, 1.26s/step] Training: 2%|▏ | 1228/70000 [25:38<23:37:11, 1.24s/step] Training: 2%|▏ | 1229/70000 [25:39<23:20:57, 1.22s/step] Training: 2%|▏ | 1230/70000 [25:40<24:00:43, 1.26s/step] Training: 2%|▏ | 1231/70000 [25:41<24:57:53, 1.31s/step] Training: 2%|▏ | 1232/70000 [25:43<25:07:06, 1.31s/step] Training: 2%|▏ | 1233/70000 [25:44<25:15:21, 1.32s/step] Training: 2%|▏ | 1234/70000 [25:45<24:29:18, 1.28s/step] Training: 2%|▏ | 1235/70000 [25:47<23:57:35, 1.25s/step] Training: 2%|▏ | 1236/70000 [25:48<23:35:26, 1.24s/step] Training: 2%|▏ | 1237/70000 [25:49<23:20:38, 1.22s/step] Training: 2%|▏ | 1238/70000 [25:50<24:10:40, 1.27s/step] Training: 2%|▏ | 1239/70000 [25:52<24:31:22, 1.28s/step] Training: 2%|▏ | 1240/70000 [25:53<24:06:38, 1.26s/step] Training: 2%|▏ | 1241/70000 [25:54<23:48:48, 1.25s/step] Training: 2%|▏ | 1242/70000 [25:55<23:30:09, 1.23s/step] Training: 2%|▏ | 1243/70000 [25:56<23:14:55, 1.22s/step] Training: 2%|▏ | 1244/70000 [25:58<23:05:16, 1.21s/step] Training: 2%|▏ | 1245/70000 [25:59<22:57:43, 1.20s/step] Training: 2%|▏ | 1246/70000 [26:00<23:16:07, 1.22s/step] Training: 2%|▏ | 1247/70000 [26:01<24:03:09, 1.26s/step] Training: 2%|▏ | 1248/70000 [26:03<25:05:02, 1.31s/step] Training: 2%|▏ | 1249/70000 [26:04<25:12:45, 1.32s/step] Training: 2%|▏ | 1250/70000 [26:05<24:28:26, 1.28s/step] Training: 2%|▏ | 1251/70000 [26:07<23:57:57, 1.25s/step] Training: 2%|▏ | 1252/70000 [26:08<23:36:01, 1.24s/step] Training: 2%|▏ | 1253/70000 [26:09<23:20:16, 1.22s/step] Training: 2%|▏ | 1254/70000 [26:10<23:59:50, 1.26s/step] Training: 2%|▏ | 1255/70000 [26:12<24:43:28, 1.29s/step] Training: 2%|▏ | 1256/70000 [26:13<25:31:49, 1.34s/step] Training: 2%|▏ | 1257/70000 [26:14<25:33:14, 1.34s/step] Training: 2%|▏ | 1258/70000 [26:16<24:42:25, 1.29s/step] Training: 2%|▏ | 1259/70000 [26:17<24:07:12, 1.26s/step] Training: 2%|▏ | 1260/70000 [26:18<23:41:49, 1.24s/step] Training: 2%|▏ | 1261/70000 [26:19<23:24:53, 1.23s/step] Training: 2%|▏ | 1262/70000 [26:21<24:00:00, 1.26s/step] Training: 2%|▏ | 1263/70000 [26:22<24:43:33, 1.29s/step] Training: 2%|▏ | 1264/70000 [26:23<24:50:45, 1.30s/step] Training: 2%|▏ | 1265/70000 [26:25<25:03:42, 1.31s/step] Training: 2%|▏ | 1266/70000 [26:26<24:20:47, 1.28s/step] Training: 2%|▏ | 1267/70000 [26:27<23:51:55, 1.25s/step] Training: 2%|▏ | 1268/70000 [26:28<23:32:34, 1.23s/step] Training: 2%|▏ | 1269/70000 [26:29<23:16:05, 1.22s/step] Training: 2%|▏ | 1270/70000 [26:31<24:07:53, 1.26s/step] Training: 2%|▏ | 1271/70000 [26:32<24:31:48, 1.28s/step] Training: 2%|▏ | 1272/70000 [26:33<24:05:29, 1.26s/step] Training: 2%|▏ | 1273/70000 [26:34<23:50:10, 1.25s/step] Training: 2%|▏ | 1274/70000 [26:36<23:31:20, 1.23s/step] Training: 2%|▏ | 1275/70000 [26:37<23:16:53, 1.22s/step] Training: 2%|▏ | 1276/70000 [26:38<23:06:35, 1.21s/step] Training: 2%|▏ | 1277/70000 [26:39<22:59:58, 1.20s/step] Training: 2%|▏ | 1278/70000 [26:40<23:15:31, 1.22s/step] Training: 2%|▏ | 1279/70000 [26:42<24:18:15, 1.27s/step] Training: 2%|▏ | 1280/70000 [26:43<24:34:15, 1.29s/step] Training: 2%|▏ | 1281/70000 [26:45<24:52:02, 1.30s/step] Training: 2%|▏ | 1282/70000 [26:46<24:13:41, 1.27s/step] Training: 2%|▏ | 1283/70000 [26:47<23:44:27, 1.24s/step] Training: 2%|▏ | 1284/70000 [26:48<23:24:51, 1.23s/step] Training: 2%|▏ | 1285/70000 [26:49<23:11:24, 1.21s/step] Training: 2%|▏ | 1286/70000 [26:51<23:51:47, 1.25s/step] Training: 2%|▏ | 1287/70000 [26:52<24:37:23, 1.29s/step] Training: 2%|▏ | 1288/70000 [26:53<24:47:52, 1.30s/step] Training: 2%|▏ | 1289/70000 [26:55<24:59:30, 1.31s/step] Training: 2%|▏ | 1290/70000 [26:56<24:21:18, 1.28s/step] Training: 2%|▏ | 1291/70000 [26:57<23:49:04, 1.25s/step] Training: 2%|▏ | 1292/70000 [26:58<23:28:16, 1.23s/step] Training: 2%|▏ | 1293/70000 [26:59<23:13:22, 1.22s/step] Training: 2%|▏ | 1294/70000 [27:01<23:54:11, 1.25s/step] Training: 2%|▏ | 1295/70000 [27:02<24:49:42, 1.30s/step] Training: 2%|▏ | 1296/70000 [27:03<24:57:26, 1.31s/step] Training: 2%|▏ | 1297/70000 [27:05<24:34:21, 1.29s/step] Training: 2%|▏ | 1298/70000 [27:06<24:00:10, 1.26s/step] Training: 2%|▏ | 1299/70000 [27:07<23:37:41, 1.24s/step] Training: 2%|▏ | 1300/70000 [27:08<23:20:38, 1.22s/step]INFO 2026-03-12 20:37:00 ot_train.py:435 step:1K smpl:83K ep:283 epch:1.10 loss:0.226 grdn:17.234 lr:2.5e-05 updt_s:1.237 data_s:0.019 Training: 2%|▏ | 1301/70000 [27:09<23:12:00, 1.22s/step] Training: 2%|▏ | 1302/70000 [27:11<24:08:22, 1.26s/step] Training: 2%|▏ | 1303/70000 [27:12<24:30:47, 1.28s/step] Training: 2%|▏ | 1304/70000 [27:13<24:04:54, 1.26s/step] Training: 2%|▏ | 1305/70000 [27:15<23:47:29, 1.25s/step] Training: 2%|▏ | 1306/70000 [27:16<23:27:22, 1.23s/step] Training: 2%|▏ | 1307/70000 [27:17<23:13:45, 1.22s/step] Training: 2%|▏ | 1308/70000 [27:18<23:03:52, 1.21s/step] Training: 2%|▏ | 1309/70000 [27:19<22:57:15, 1.20s/step] Training: 2%|▏ | 1310/70000 [27:21<23:13:53, 1.22s/step] Training: 2%|▏ | 1311/70000 [27:22<24:16:03, 1.27s/step] Training: 2%|▏ | 1312/70000 [27:23<24:32:37, 1.29s/step] Training: 2%|▏ | 1313/70000 [27:25<24:49:40, 1.30s/step] Training: 2%|▏ | 1314/70000 [27:26<24:11:03, 1.27s/step] Training: 2%|▏ | 1315/70000 [27:27<23:44:41, 1.24s/step] Training: 2%|▏ | 1316/70000 [27:28<23:26:21, 1.23s/step] Training: 2%|▏ | 1317/70000 [27:29<23:13:08, 1.22s/step] Training: 2%|▏ | 1318/70000 [27:31<23:54:08, 1.25s/step] Training: 2%|▏ | 1319/70000 [27:32<24:26:48, 1.28s/step] Training: 2%|▏ | 1320/70000 [27:33<24:39:41, 1.29s/step] Training: 2%|▏ | 1321/70000 [27:35<24:52:04, 1.30s/step] Training: 2%|▏ | 1322/70000 [27:36<24:11:48, 1.27s/step] Training: 2%|▏ | 1323/70000 [27:37<23:45:25, 1.25s/step] Training: 2%|▏ | 1324/70000 [27:38<23:26:49, 1.23s/step] Training: 2%|▏ | 1325/70000 [27:40<23:12:50, 1.22s/step] Training: 2%|▏ | 1326/70000 [27:41<23:53:43, 1.25s/step] Training: 2%|▏ | 1327/70000 [27:42<24:42:28, 1.30s/step] Training: 2%|▏ | 1328/70000 [27:44<24:51:04, 1.30s/step] Training: 2%|▏ | 1329/70000 [27:45<24:24:25, 1.28s/step] Training: 2%|▏ | 1330/70000 [27:46<23:53:04, 1.25s/step] Training: 2%|▏ | 1331/70000 [27:47<23:31:33, 1.23s/step] Training: 2%|▏ | 1332/70000 [27:48<23:15:52, 1.22s/step] Training: 2%|▏ | 1333/70000 [27:50<23:05:32, 1.21s/step] Training: 2%|▏ | 1334/70000 [27:51<24:03:18, 1.26s/step] Training: 2%|▏ | 1335/70000 [27:52<24:25:56, 1.28s/step] Training: 2%|▏ | 1336/70000 [27:53<24:01:34, 1.26s/step] Training: 2%|▏ | 1337/70000 [27:55<23:46:19, 1.25s/step] Training: 2%|▏ | 1338/70000 [27:56<23:25:53, 1.23s/step] Training: 2%|▏ | 1339/70000 [27:57<23:15:44, 1.22s/step] Training: 2%|▏ | 1340/70000 [27:58<23:03:36, 1.21s/step] Training: 2%|▏ | 1341/70000 [27:59<22:56:13, 1.20s/step] Training: 2%|▏ | 1342/70000 [28:01<23:07:29, 1.21s/step] Training: 2%|▏ | 1343/70000 [28:02<24:17:45, 1.27s/step] Training: 2%|▏ | 1344/70000 [28:03<24:32:01, 1.29s/step] Training: 2%|▏ | 1345/70000 [28:05<24:48:38, 1.30s/step] Training: 2%|▏ | 1346/70000 [28:06<24:13:04, 1.27s/step] Training: 2%|▏ | 1347/70000 [28:07<23:45:44, 1.25s/step] Training: 2%|▏ | 1348/70000 [28:08<23:25:48, 1.23s/step] Training: 2%|▏ | 1349/70000 [28:10<23:15:43, 1.22s/step] Training: 2%|▏ | 1350/70000 [28:11<23:49:34, 1.25s/step] Training: 2%|▏ | 1351/70000 [28:12<24:18:08, 1.27s/step] Training: 2%|▏ | 1352/70000 [28:14<25:07:00, 1.32s/step] Training: 2%|▏ | 1353/70000 [28:15<25:13:02, 1.32s/step] Training: 2%|▏ | 1354/70000 [28:16<24:26:48, 1.28s/step] Training: 2%|▏ | 1355/70000 [28:17<23:55:23, 1.25s/step] Training: 2%|▏ | 1356/70000 [28:18<23:33:53, 1.24s/step] Training: 2%|▏ | 1357/70000 [28:20<23:16:57, 1.22s/step] Training: 2%|▏ | 1358/70000 [28:21<23:57:35, 1.26s/step] Training: 2%|▏ | 1359/70000 [28:22<24:31:06, 1.29s/step] Training: 2%|▏ | 1360/70000 [28:24<25:24:43, 1.33s/step] Training: 2%|▏ | 1361/70000 [28:25<24:49:57, 1.30s/step] Training: 2%|▏ | 1362/70000 [28:26<24:15:15, 1.27s/step] Training: 2%|▏ | 1363/70000 [28:27<23:48:23, 1.25s/step] Training: 2%|▏ | 1364/70000 [28:29<23:27:22, 1.23s/step] Training: 2%|▏ | 1365/70000 [28:30<23:14:45, 1.22s/step] Training: 2%|▏ | 1366/70000 [28:31<24:01:08, 1.26s/step] Training: 2%|▏ | 1367/70000 [28:33<24:40:18, 1.29s/step] Training: 2%|▏ | 1368/70000 [28:34<24:10:04, 1.27s/step] Training: 2%|▏ | 1369/70000 [28:35<23:51:35, 1.25s/step] Training: 2%|▏ | 1370/70000 [28:36<23:30:33, 1.23s/step] Training: 2%|▏ | 1371/70000 [28:37<23:15:41, 1.22s/step] Training: 2%|▏ | 1372/70000 [28:39<23:05:21, 1.21s/step] Training: 2%|▏ | 1373/70000 [28:40<23:01:07, 1.21s/step] Training: 2%|▏ | 1374/70000 [28:41<23:14:17, 1.22s/step] Training: 2%|▏ | 1375/70000 [28:42<24:06:06, 1.26s/step] Training: 2%|▏ | 1376/70000 [28:44<24:42:05, 1.30s/step] Training: 2%|▏ | 1377/70000 [28:45<24:51:55, 1.30s/step] Training: 2%|▏ | 1378/70000 [28:46<24:13:30, 1.27s/step] Training: 2%|▏ | 1379/70000 [28:47<23:43:42, 1.24s/step] Training: 2%|▏ | 1380/70000 [28:49<23:24:43, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=66605 Training: 2%|▏ | 1381/70000 [28:50<23:11:25, 1.22s/step] Training: 2%|▏ | 1382/70000 [28:51<23:10:55, 1.22s/step] Training: 2%|▏ | 1383/70000 [28:52<24:28:35, 1.28s/step] Training: 2%|▏ | 1384/70000 [28:54<24:42:25, 1.30s/step] Training: 2%|▏ | 1385/70000 [28:55<24:59:53, 1.31s/step] Training: 2%|▏ | 1386/70000 [28:56<24:17:42, 1.27s/step] Training: 2%|▏ | 1387/70000 [28:58<23:51:00, 1.25s/step] Training: 2%|▏ | 1388/70000 [28:59<23:28:40, 1.23s/step] Training: 2%|▏ | 1389/70000 [29:00<23:13:40, 1.22s/step] Training: 2%|▏ | 1390/70000 [29:01<23:54:59, 1.25s/step] Training: 2%|▏ | 1391/70000 [29:03<24:23:21, 1.28s/step] Training: 2%|▏ | 1392/70000 [29:04<25:23:58, 1.33s/step] Training: 2%|▏ | 1393/70000 [29:05<25:27:12, 1.34s/step] Training: 2%|▏ | 1394/70000 [29:07<24:35:20, 1.29s/step] Training: 2%|▏ | 1395/70000 [29:08<23:59:28, 1.26s/step] Training: 2%|▏ | 1396/70000 [29:09<23:35:27, 1.24s/step] Training: 2%|▏ | 1397/70000 [29:10<23:18:14, 1.22s/step] Training: 2%|▏ | 1398/70000 [29:11<23:59:07, 1.26s/step] Training: 2%|▏ | 1399/70000 [29:13<24:32:32, 1.29s/step] Training: 2%|▏ | 1400/70000 [29:14<24:43:31, 1.30s/step]INFO 2026-03-12 20:39:06 ot_train.py:435 step:1K smpl:90K ep:305 epch:1.19 loss:0.257 grdn:17.789 lr:2.5e-05 updt_s:1.237 data_s:0.019 Training: 2%|▏ | 1401/70000 [29:15<24:37:50, 1.29s/step] Training: 2%|▏ | 1402/70000 [29:17<24:02:12, 1.26s/step] Training: 2%|▏ | 1403/70000 [29:18<23:38:47, 1.24s/step] Training: 2%|▏ | 1404/70000 [29:19<23:21:01, 1.23s/step] Training: 2%|▏ | 1405/70000 [29:20<23:07:11, 1.21s/step] Training: 2%|▏ | 1406/70000 [29:21<23:24:43, 1.23s/step] Training: 2%|▏ | 1407/70000 [29:23<24:13:02, 1.27s/step] Training: 2%|▏ | 1408/70000 [29:24<24:31:43, 1.29s/step] Training: 2%|▏ | 1409/70000 [29:25<24:47:16, 1.30s/step] Training: 2%|▏ | 1410/70000 [29:27<24:08:07, 1.27s/step] Training: 2%|▏ | 1411/70000 [29:28<23:41:11, 1.24s/step] Training: 2%|▏ | 1412/70000 [29:29<23:21:32, 1.23s/step] Training: 2%|▏ | 1413/70000 [29:30<23:07:29, 1.21s/step] Training: 2%|▏ | 1414/70000 [29:31<23:08:10, 1.21s/step] Training: 2%|▏ | 1415/70000 [29:33<24:21:34, 1.28s/step] Training: 2%|▏ | 1416/70000 [29:34<24:37:58, 1.29s/step] Training: 2%|▏ | 1417/70000 [29:36<25:04:04, 1.32s/step] Training: 2%|▏ | 1418/70000 [29:37<24:18:37, 1.28s/step] Training: 2%|▏ | 1419/70000 [29:38<23:48:43, 1.25s/step] Training: 2%|▏ | 1420/70000 [29:39<23:28:56, 1.23s/step] Training: 2%|▏ | 1421/70000 [29:40<23:13:45, 1.22s/step] Training: 2%|▏ | 1422/70000 [29:42<23:50:40, 1.25s/step] Training: 2%|▏ | 1423/70000 [29:43<24:30:00, 1.29s/step] Training: 2%|▏ | 1424/70000 [29:44<23:58:34, 1.26s/step] Training: 2%|▏ | 1425/70000 [29:46<25:09:23, 1.32s/step] Training: 2%|▏ | 1426/70000 [29:47<24:20:41, 1.28s/step] Training: 2%|▏ | 1427/70000 [29:48<23:49:44, 1.25s/step] Training: 2%|▏ | 1428/70000 [29:49<23:30:41, 1.23s/step] Training: 2%|▏ | 1429/70000 [29:50<23:15:46, 1.22s/step] Training: 2%|▏ | 1430/70000 [29:52<23:56:08, 1.26s/step] Training: 2%|▏ | 1431/70000 [29:53<24:31:12, 1.29s/step] Training: 2%|▏ | 1432/70000 [29:54<23:57:11, 1.26s/step] Training: 2%|▏ | 1433/70000 [29:56<25:02:48, 1.32s/step] Training: 2%|▏ | 1434/70000 [29:57<24:15:05, 1.27s/step] Training: 2%|▏ | 1435/70000 [29:58<23:46:06, 1.25s/step] Training: 2%|▏ | 1436/70000 [29:59<23:25:45, 1.23s/step] Training: 2%|▏ | 1437/70000 [30:00<23:11:07, 1.22s/step] Training: 2%|▏ | 1438/70000 [30:02<23:20:48, 1.23s/step] Training: 2%|▏ | 1439/70000 [30:03<24:04:15, 1.26s/step] Training: 2%|▏ | 1440/70000 [30:04<24:24:42, 1.28s/step] Training: 2%|▏ | 1441/70000 [30:06<24:44:24, 1.30s/step] Training: 2%|▏ | 1442/70000 [30:07<24:06:09, 1.27s/step] Training: 2%|▏ | 1443/70000 [30:08<23:39:36, 1.24s/step] Training: 2%|▏ | 1444/70000 [30:09<23:20:32, 1.23s/step] Training: 2%|▏ | 1445/70000 [30:10<23:07:56, 1.21s/step] Training: 2%|▏ | 1446/70000 [30:12<23:10:20, 1.22s/step] Training: 2%|▏ | 1447/70000 [30:13<24:19:38, 1.28s/step] Training: 2%|▏ | 1448/70000 [30:15<25:15:39, 1.33s/step] Training: 2%|▏ | 1449/70000 [30:16<25:24:01, 1.33s/step] Training: 2%|▏ | 1450/70000 [30:17<24:30:24, 1.29s/step] Training: 2%|▏ | 1451/70000 [30:18<23:57:13, 1.26s/step] Training: 2%|▏ | 1452/70000 [30:19<23:33:50, 1.24s/step] Training: 2%|▏ | 1453/70000 [30:21<23:16:09, 1.22s/step] Training: 2%|▏ | 1454/70000 [30:22<23:51:44, 1.25s/step] Training: 2%|▏ | 1455/70000 [30:23<24:15:02, 1.27s/step] Training: 2%|▏ | 1456/70000 [30:25<24:29:09, 1.29s/step] Training: 2%|▏ | 1457/70000 [30:26<25:05:37, 1.32s/step] Training: 2%|▏ | 1458/70000 [30:27<24:18:46, 1.28s/step] Training: 2%|▏ | 1459/70000 [30:28<23:50:07, 1.25s/step] Training: 2%|▏ | 1460/70000 [30:30<23:29:42, 1.23s/step] Training: 2%|▏ | 1461/70000 [30:31<23:14:08, 1.22s/step] Training: 2%|▏ | 1462/70000 [30:32<24:00:29, 1.26s/step] Training: 2%|▏ | 1463/70000 [30:33<24:34:09, 1.29s/step] Training: 2%|▏ | 1464/70000 [30:35<24:05:08, 1.27s/step] Training: 2%|▏ | 1465/70000 [30:36<24:36:43, 1.29s/step] Training: 2%|▏ | 1466/70000 [30:37<23:58:09, 1.26s/step] Training: 2%|▏ | 1467/70000 [30:38<23:33:28, 1.24s/step] Training: 2%|▏ | 1468/70000 [30:40<23:17:09, 1.22s/step] Training: 2%|▏ | 1469/70000 [30:41<23:05:08, 1.21s/step] Training: 2%|▏ | 1470/70000 [30:42<23:22:26, 1.23s/step] Training: 2%|▏ | 1471/70000 [30:43<23:21:58, 1.23s/step] Training: 2%|▏ | 1472/70000 [30:45<23:58:52, 1.26s/step] Training: 2%|▏ | 1473/70000 [30:46<24:23:22, 1.28s/step] Training: 2%|▏ | 1474/70000 [30:47<23:53:04, 1.25s/step] Training: 2%|▏ | 1475/70000 [30:48<23:29:10, 1.23s/step] Training: 2%|▏ | 1476/70000 [30:50<23:13:22, 1.22s/step] Training: 2%|▏ | 1477/70000 [30:51<23:02:05, 1.21s/step] Training: 2%|▏ | 1478/70000 [30:52<23:02:35, 1.21s/step] Training: 2%|▏ | 1479/70000 [30:53<24:16:22, 1.28s/step] Training: 2%|▏ | 1480/70000 [30:55<24:38:49, 1.29s/step] Training: 2%|▏ | 1481/70000 [30:56<24:59:04, 1.31s/step] Training: 2%|▏ | 1482/70000 [30:57<24:15:33, 1.27s/step] Training: 2%|▏ | 1483/70000 [30:58<23:46:41, 1.25s/step] Training: 2%|▏ | 1484/70000 [31:00<23:26:29, 1.23s/step] Training: 2%|▏ | 1485/70000 [31:01<23:13:21, 1.22s/step] Training: 2%|▏ | 1486/70000 [31:02<23:50:38, 1.25s/step] Training: 2%|▏ | 1487/70000 [31:03<24:15:37, 1.27s/step] Training: 2%|▏ | 1488/70000 [31:05<24:10:55, 1.27s/step] Training: 2%|▏ | 1489/70000 [31:06<24:48:50, 1.30s/step] Training: 2%|▏ | 1490/70000 [31:07<24:05:01, 1.27s/step] Training: 2%|▏ | 1491/70000 [31:08<23:38:39, 1.24s/step] Training: 2%|▏ | 1492/70000 [31:10<23:21:32, 1.23s/step] Training: 2%|▏ | 1493/70000 [31:11<23:08:15, 1.22s/step] Training: 2%|▏ | 1494/70000 [31:12<23:59:51, 1.26s/step] Training: 2%|▏ | 1495/70000 [31:13<23:48:06, 1.25s/step] Training: 2%|▏ | 1496/70000 [31:15<24:15:14, 1.27s/step] Training: 2%|▏ | 1497/70000 [31:16<24:11:51, 1.27s/step] Training: 2%|▏ | 1498/70000 [31:17<23:44:27, 1.25s/step] Training: 2%|▏ | 1499/70000 [31:18<23:24:43, 1.23s/step] Training: 2%|▏ | 1500/70000 [31:20<23:10:57, 1.22s/step]INFO 2026-03-12 20:41:12 ot_train.py:435 step:2K smpl:96K ep:327 epch:1.27 loss:0.258 grdn:17.626 lr:2.5e-05 updt_s:1.234 data_s:0.019 Training: 2%|▏ | 1501/70000 [31:21<23:01:54, 1.21s/step] Training: 2%|▏ | 1502/70000 [31:22<23:21:23, 1.23s/step] Training: 2%|▏ | 1503/70000 [31:23<23:25:25, 1.23s/step] Training: 2%|▏ | 1504/70000 [31:25<24:01:34, 1.26s/step] Training: 2%|▏ | 1505/70000 [31:26<24:25:13, 1.28s/step] Training: 2%|▏ | 1506/70000 [31:27<23:55:23, 1.26s/step] Training: 2%|▏ | 1507/70000 [31:28<23:33:29, 1.24s/step] Training: 2%|▏ | 1508/70000 [31:30<23:14:58, 1.22s/step] Training: 2%|▏ | 1509/70000 [31:31<23:05:30, 1.21s/step] Training: 2%|▏ | 1510/70000 [31:32<23:42:28, 1.25s/step] Training: 2%|▏ | 1511/70000 [31:33<24:07:38, 1.27s/step] Training: 2%|▏ | 1512/70000 [31:35<24:27:59, 1.29s/step] Training: 2%|▏ | 1513/70000 [31:36<25:28:54, 1.34s/step] Training: 2%|▏ | 1514/70000 [31:37<24:34:19, 1.29s/step] Training: 2%|▏ | 1515/70000 [31:39<24:00:14, 1.26s/step] Training: 2%|▏ | 1516/70000 [31:40<23:35:47, 1.24s/step] Training: 2%|▏ | 1517/70000 [31:41<23:18:13, 1.23s/step] Training: 2%|▏ | 1518/70000 [31:42<23:51:00, 1.25s/step] Training: 2%|▏ | 1519/70000 [31:44<24:22:08, 1.28s/step] Training: 2%|▏ | 1520/70000 [31:45<24:00:32, 1.26s/step] Training: 2%|▏ | 1521/70000 [31:46<25:10:13, 1.32s/step] Training: 2%|▏ | 1522/70000 [31:47<24:21:13, 1.28s/step] Training: 2%|▏ | 1523/70000 [31:49<23:48:35, 1.25s/step] Training: 2%|▏ | 1524/70000 [31:50<23:27:54, 1.23s/step] Training: 2%|▏ | 1525/70000 [31:51<23:12:23, 1.22s/step] Training: 2%|▏ | 1526/70000 [31:52<24:09:37, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=11176 Training: 2%|▏ | 1527/70000 [31:54<24:42:31, 1.30s/step] Training: 2%|▏ | 1528/70000 [31:55<24:53:52, 1.31s/step] Training: 2%|▏ | 1529/70000 [31:56<25:07:09, 1.32s/step] Training: 2%|▏ | 1530/70000 [31:58<24:18:58, 1.28s/step] Training: 2%|▏ | 1531/70000 [31:59<23:48:57, 1.25s/step] Training: 2%|▏ | 1532/70000 [32:00<23:27:43, 1.23s/step] Training: 2%|▏ | 1533/70000 [32:01<23:12:29, 1.22s/step] Training: 2%|▏ | 1534/70000 [32:02<23:23:42, 1.23s/step] Training: 2%|▏ | 1535/70000 [32:04<23:36:35, 1.24s/step] Training: 2%|▏ | 1536/70000 [32:05<24:08:29, 1.27s/step] Training: 2%|▏ | 1537/70000 [32:07<25:07:00, 1.32s/step] Training: 2%|▏ | 1538/70000 [32:08<24:22:12, 1.28s/step] Training: 2%|▏ | 1539/70000 [32:09<23:50:41, 1.25s/step] Training: 2%|▏ | 1540/70000 [32:10<23:28:30, 1.23s/step] Training: 2%|▏ | 1541/70000 [32:11<23:12:51, 1.22s/step] Training: 2%|▏ | 1542/70000 [32:13<23:54:00, 1.26s/step] Training: 2%|▏ | 1543/70000 [32:14<23:36:15, 1.24s/step] Training: 2%|▏ | 1544/70000 [32:15<24:53:26, 1.31s/step] Training: 2%|▏ | 1545/70000 [32:17<25:14:17, 1.33s/step] Training: 2%|▏ | 1546/70000 [32:18<24:26:53, 1.29s/step] Training: 2%|▏ | 1547/70000 [32:19<23:52:29, 1.26s/step] Training: 2%|▏ | 1548/70000 [32:20<23:29:08, 1.24s/step] Training: 2%|▏ | 1549/70000 [32:21<23:13:11, 1.22s/step] Training: 2%|▏ | 1550/70000 [32:23<23:50:07, 1.25s/step] Training: 2%|▏ | 1551/70000 [32:24<24:17:39, 1.28s/step] Training: 2%|▏ | 1552/70000 [32:25<23:53:29, 1.26s/step] Training: 2%|▏ | 1553/70000 [32:27<24:45:28, 1.30s/step] Training: 2%|▏ | 1554/70000 [32:28<24:05:27, 1.27s/step] Training: 2%|▏ | 1555/70000 [32:29<23:41:17, 1.25s/step] Training: 2%|▏ | 1556/70000 [32:30<23:21:26, 1.23s/step] Training: 2%|▏ | 1557/70000 [32:31<23:09:15, 1.22s/step] Training: 2%|▏ | 1558/70000 [32:33<24:01:19, 1.26s/step] Training: 2%|▏ | 1559/70000 [32:34<24:23:32, 1.28s/step] Training: 2%|▏ | 1560/70000 [32:35<24:39:37, 1.30s/step] Training: 2%|▏ | 1561/70000 [32:37<25:04:46, 1.32s/step] Training: 2%|▏ | 1562/70000 [32:38<24:16:49, 1.28s/step] Training: 2%|▏ | 1563/70000 [32:39<23:46:59, 1.25s/step] Training: 2%|▏ | 1564/70000 [32:40<23:25:11, 1.23s/step] Training: 2%|▏ | 1565/70000 [32:42<23:10:34, 1.22s/step] Training: 2%|▏ | 1566/70000 [32:43<23:19:23, 1.23s/step] Training: 2%|▏ | 1567/70000 [32:44<24:05:34, 1.27s/step] Training: 2%|▏ | 1568/70000 [32:46<24:25:49, 1.29s/step] Training: 2%|▏ | 1569/70000 [32:47<24:40:56, 1.30s/step] Training: 2%|▏ | 1570/70000 [32:48<24:03:50, 1.27s/step] Training: 2%|▏ | 1571/70000 [32:49<23:38:51, 1.24s/step] Training: 2%|▏ | 1572/70000 [32:50<23:18:19, 1.23s/step] Training: 2%|▏ | 1573/70000 [32:52<23:06:19, 1.22s/step] Training: 2%|▏ | 1574/70000 [32:53<23:46:42, 1.25s/step] Training: 2%|▏ | 1575/70000 [32:54<23:33:20, 1.24s/step] Training: 2%|▏ | 1576/70000 [32:55<24:03:06, 1.27s/step] Training: 2%|▏ | 1577/70000 [32:57<24:34:47, 1.29s/step] Training: 2%|▏ | 1578/70000 [32:58<23:56:50, 1.26s/step] Training: 2%|▏ | 1579/70000 [32:59<23:31:41, 1.24s/step] Training: 2%|▏ | 1580/70000 [33:00<23:15:41, 1.22s/step] Training: 2%|▏ | 1581/70000 [33:02<23:03:52, 1.21s/step] Training: 2%|▏ | 1582/70000 [33:03<23:41:48, 1.25s/step] Training: 2%|▏ | 1583/70000 [33:04<24:11:10, 1.27s/step] Training: 2%|▏ | 1584/70000 [33:05<23:46:06, 1.25s/step] Training: 2%|▏ | 1585/70000 [33:07<24:36:46, 1.30s/step] Training: 2%|▏ | 1586/70000 [33:08<23:57:09, 1.26s/step] Training: 2%|▏ | 1587/70000 [33:09<23:32:44, 1.24s/step] Training: 2%|▏ | 1588/70000 [33:10<23:15:53, 1.22s/step] Training: 2%|▏ | 1589/70000 [33:12<23:04:58, 1.21s/step] Training: 2%|▏ | 1590/70000 [33:13<23:57:41, 1.26s/step] Training: 2%|▏ | 1591/70000 [33:14<24:20:00, 1.28s/step] Training: 2%|▏ | 1592/70000 [33:16<24:35:40, 1.29s/step] Training: 2%|▏ | 1593/70000 [33:17<24:56:32, 1.31s/step] Training: 2%|▏ | 1594/70000 [33:18<24:14:45, 1.28s/step] Training: 2%|▏ | 1595/70000 [33:19<23:42:33, 1.25s/step] Training: 2%|▏ | 1596/70000 [33:21<23:23:08, 1.23s/step] Training: 2%|▏ | 1597/70000 [33:22<23:08:32, 1.22s/step] Training: 2%|▏ | 1598/70000 [33:23<23:17:59, 1.23s/step] Training: 2%|▏ | 1599/70000 [33:24<23:16:35, 1.23s/step] Training: 2%|▏ | 1600/70000 [33:26<24:17:48, 1.28s/step]INFO 2026-03-12 20:43:18 ot_train.py:435 step:2K smpl:102K ep:349 epch:1.36 loss:0.268 grdn:17.281 lr:2.5e-05 updt_s:1.239 data_s:0.018 Training: 2%|▏ | 1601/70000 [33:27<24:36:57, 1.30s/step] Training: 2%|▏ | 1602/70000 [33:28<24:00:49, 1.26s/step] Training: 2%|▏ | 1603/70000 [33:29<23:35:27, 1.24s/step] Training: 2%|▏ | 1604/70000 [33:31<23:21:15, 1.23s/step] Training: 2%|▏ | 1605/70000 [33:32<23:07:59, 1.22s/step] Training: 2%|▏ | 1606/70000 [33:33<23:45:46, 1.25s/step] Training: 2%|▏ | 1607/70000 [33:34<23:31:27, 1.24s/step] Training: 2%|▏ | 1608/70000 [33:36<24:35:31, 1.29s/step] Training: 2%|▏ | 1609/70000 [33:37<24:54:48, 1.31s/step] Training: 2%|▏ | 1610/70000 [33:38<24:09:58, 1.27s/step] Training: 2%|▏ | 1611/70000 [33:39<23:41:19, 1.25s/step] Training: 2%|▏ | 1612/70000 [33:41<23:23:57, 1.23s/step] Training: 2%|▏ | 1613/70000 [33:42<23:09:45, 1.22s/step] Training: 2%|▏ | 1614/70000 [33:43<23:45:56, 1.25s/step] Training: 2%|▏ | 1615/70000 [33:44<24:12:25, 1.27s/step] Training: 2%|▏ | 1616/70000 [33:46<23:49:05, 1.25s/step] Training: 2%|▏ | 1617/70000 [33:47<24:37:36, 1.30s/step] Training: 2%|▏ | 1618/70000 [33:48<23:58:04, 1.26s/step] Training: 2%|▏ | 1619/70000 [33:49<23:33:37, 1.24s/step] Training: 2%|▏ | 1620/70000 [33:51<23:16:06, 1.23s/step] Training: 2%|▏ | 1621/70000 [33:52<23:04:41, 1.22s/step] Training: 2%|▏ | 1622/70000 [33:53<23:55:37, 1.26s/step] Training: 2%|▏ | 1623/70000 [33:54<24:20:30, 1.28s/step] Training: 2%|▏ | 1624/70000 [33:56<25:04:28, 1.32s/step] Training: 2%|▏ | 1625/70000 [33:57<25:24:32, 1.34s/step] Training: 2%|▏ | 1626/70000 [33:58<24:35:08, 1.29s/step] Training: 2%|▏ | 1627/70000 [34:00<23:57:02, 1.26s/step] Training: 2%|▏ | 1628/70000 [34:01<23:31:49, 1.24s/step] Training: 2%|▏ | 1629/70000 [34:02<23:15:15, 1.22s/step] Training: 2%|▏ | 1630/70000 [34:03<23:27:38, 1.24s/step] Training: 2%|▏ | 1631/70000 [34:05<23:31:55, 1.24s/step] Training: 2%|▏ | 1632/70000 [34:06<24:36:46, 1.30s/step] Training: 2%|▏ | 1633/70000 [34:07<24:48:56, 1.31s/step] Training: 2%|▏ | 1634/70000 [34:08<24:09:31, 1.27s/step] Training: 2%|▏ | 1635/70000 [34:10<23:39:30, 1.25s/step] Training: 2%|▏ | 1636/70000 [34:11<23:20:04, 1.23s/step] Training: 2%|▏ | 1637/70000 [34:12<23:07:05, 1.22s/step] Training: 2%|▏ | 1638/70000 [34:13<23:48:05, 1.25s/step] Training: 2%|▏ | 1639/70000 [34:15<23:36:45, 1.24s/step] Training: 2%|▏ | 1640/70000 [34:16<24:06:47, 1.27s/step] Training: 2%|▏ | 1641/70000 [34:17<24:34:10, 1.29s/step] Training: 2%|▏ | 1642/70000 [34:18<23:55:28, 1.26s/step] Training: 2%|▏ | 1643/70000 [34:20<23:31:10, 1.24s/step] Training: 2%|▏ | 1644/70000 [34:21<23:15:41, 1.23s/step] Training: 2%|▏ | 1645/70000 [34:22<23:03:07, 1.21s/step] Training: 2%|▏ | 1646/70000 [34:23<23:44:58, 1.25s/step] Training: 2%|▏ | 1647/70000 [34:25<24:13:45, 1.28s/step] Training: 2%|▏ | 1648/70000 [34:26<24:31:47, 1.29s/step] Training: 2%|▏ | 1649/70000 [34:27<25:15:29, 1.33s/step] Training: 2%|▏ | 1650/70000 [34:29<24:22:54, 1.28s/step] Training: 2%|▏ | 1651/70000 [34:30<23:51:21, 1.26s/step] Training: 2%|▏ | 1652/70000 [34:31<23:27:42, 1.24s/step] Training: 2%|▏ | 1653/70000 [34:32<23:16:09, 1.23s/step] Training: 2%|▏ | 1654/70000 [34:34<24:05:26, 1.27s/step] Training: 2%|▏ | 1655/70000 [34:35<24:24:25, 1.29s/step] Training: 2%|▏ | 1656/70000 [34:36<24:45:16, 1.30s/step] Training: 2%|▏ | 1657/70000 [34:38<25:18:12, 1.33s/step] Training: 2%|▏ | 1658/70000 [34:39<24:27:49, 1.29s/step] Training: 2%|▏ | 1659/70000 [34:40<23:54:12, 1.26s/step] Training: 2%|▏ | 1660/70000 [34:41<23:29:41, 1.24s/step] Training: 2%|▏ | 1661/70000 [34:42<23:11:58, 1.22s/step] Training: 2%|▏ | 1662/70000 [34:44<23:24:08, 1.23s/step] Training: 2%|▏ | 1663/70000 [34:45<23:25:59, 1.23s/step] Training: 2%|▏ | 1664/70000 [34:46<23:55:55, 1.26s/step] Training: 2%|▏ | 1665/70000 [34:48<24:18:20, 1.28s/step] Training: 2%|▏ | 1666/70000 [34:49<23:45:48, 1.25s/step] Training: 2%|▏ | 1667/70000 [34:50<23:23:23, 1.23s/step] Training: 2%|▏ | 1668/70000 [34:51<23:09:39, 1.22s/step] Training: 2%|▏ | 1669/70000 [34:52<22:58:44, 1.21s/step] Training: 2%|▏ | 1670/70000 [34:54<23:37:42, 1.24s/step] Training: 2%|▏ | 1671/70000 [34:55<23:28:24, 1.24s/step] Training: 2%|▏ | 1672/70000 [34:56<23:58:44, 1.26s/step] Training: 2%|▏ | 1673/70000 [34:58<24:35:47, 1.30s/step] Training: 2%|▏ | 1674/70000 [34:59<23:56:32, 1.26s/step] Training: 2%|▏ | 1675/70000 [35:00<23:31:54, 1.24s/step] Training: 2%|▏ | 1676/70000 [35:01<23:20:14, 1.23s/step] Training: 2%|▏ | 1677/70000 [35:02<23:03:49, 1.22s/step] Training: 2%|▏ | 1678/70000 [35:04<23:43:33, 1.25s/step] Training: 2%|▏ | 1679/70000 [35:05<23:23:42, 1.23s/step] Training: 2%|▏ | 1680/70000 [35:06<24:43:20, 1.30s/step] Training: 2%|▏ | 1681/70000 [35:08<25:40:04, 1.35s/step] Training: 2%|▏ | 1682/70000 [35:09<24:43:05, 1.30s/step] Training: 2%|▏ | 1683/70000 [35:10<24:05:26, 1.27s/step] Training: 2%|▏ | 1684/70000 [35:11<23:38:22, 1.25s/step] Training: 2%|▏ | 1685/70000 [35:13<23:20:42, 1.23s/step] Training: 2%|▏ | 1686/70000 [35:14<24:08:28, 1.27s/step] Training: 2%|▏ | 1687/70000 [35:15<23:40:08, 1.25s/step] Training: 2%|▏ | 1688/70000 [35:16<24:12:52, 1.28s/step] Training: 2%|▏ | 1689/70000 [35:18<24:57:51, 1.32s/step] Training: 2%|▏ | 1690/70000 [35:19<24:16:16, 1.28s/step] Training: 2%|▏ | 1691/70000 [35:20<23:46:10, 1.25s/step] Training: 2%|▏ | 1692/70000 [35:21<23:26:23, 1.24s/step] Training: 2%|▏ | 1693/70000 [35:23<23:11:00, 1.22s/step] Training: 2%|▏ | 1694/70000 [35:24<23:24:19, 1.23s/step] Training: 2%|▏ | 1695/70000 [35:25<23:24:49, 1.23s/step] Training: 2%|▏ | 1696/70000 [35:26<23:57:57, 1.26s/step] Training: 2%|▏ | 1697/70000 [35:28<24:18:00, 1.28s/step] Training: 2%|▏ | 1698/70000 [35:29<23:47:18, 1.25s/step] Training: 2%|▏ | 1699/70000 [35:30<23:24:40, 1.23s/step] Training: 2%|▏ | 1700/70000 [35:31<23:10:31, 1.22s/step]INFO 2026-03-12 20:45:23 ot_train.py:435 step:2K smpl:109K ep:370 epch:1.44 loss:0.262 grdn:18.184 lr:2.5e-05 updt_s:1.236 data_s:0.019 Training: 2%|▏ | 1701/70000 [35:32<22:59:00, 1.21s/step] Training: 2%|▏ | 1702/70000 [35:34<23:38:52, 1.25s/step] Training: 2%|▏ | 1703/70000 [35:35<23:25:57, 1.24s/step] Training: 2%|▏ | 1704/70000 [35:36<24:01:02, 1.27s/step] Training: 2%|▏ | 1705/70000 [35:38<24:31:21, 1.29s/step] Training: 2%|▏ | 1706/70000 [35:39<23:54:03, 1.26s/step] Training: 2%|▏ | 1707/70000 [35:40<23:30:22, 1.24s/step] Training: 2%|▏ | 1708/70000 [35:41<23:12:54, 1.22s/step] Training: 2%|▏ | 1709/70000 [35:42<23:00:59, 1.21s/step] Training: 2%|▏ | 1710/70000 [35:44<23:39:12, 1.25s/step] Training: 2%|▏ | 1711/70000 [35:45<24:09:19, 1.27s/step] Training: 2%|▏ | 1712/70000 [35:46<24:27:08, 1.29s/step] Training: 2%|▏ | 1713/70000 [35:48<24:54:09, 1.31s/step] Training: 2%|▏ | 1714/70000 [35:49<24:08:16, 1.27s/step] Training: 2%|▏ | 1715/70000 [35:50<23:39:21, 1.25s/step] Training: 2%|▏ | 1716/70000 [35:51<23:20:44, 1.23s/step] Training: 2%|▏ | 1717/70000 [35:53<23:06:13, 1.22s/step] Training: 2%|▏ | 1718/70000 [35:54<23:57:06, 1.26s/step] Training: 2%|▏ | 1719/70000 [35:55<24:19:38, 1.28s/step] Training: 2%|▏ | 1720/70000 [35:57<24:34:23, 1.30s/step] Training: 2%|▏ | 1721/70000 [35:58<24:51:12, 1.31s/step] Training: 2%|▏ | 1722/70000 [35:59<24:08:35, 1.27s/step] Training: 2%|▏ | 1723/70000 [36:00<23:39:33, 1.25s/step] Training: 2%|▏ | 1724/70000 [36:02<23:19:14, 1.23s/step] Training: 2%|▏ | 1725/70000 [36:03<23:04:33, 1.22s/step] Training: 2%|▏ | 1726/70000 [36:04<23:14:40, 1.23s/step] Training: 2%|▏ | 1727/70000 [36:05<23:15:47, 1.23s/step] Training: 2%|▏ | 1728/70000 [36:06<23:48:21, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=66605 Training: 2%|▏ | 1729/70000 [36:08<24:11:49, 1.28s/step] Training: 2%|▏ | 1730/70000 [36:09<23:42:08, 1.25s/step] Training: 2%|▏ | 1731/70000 [36:10<23:21:35, 1.23s/step] Training: 2%|▏ | 1732/70000 [36:11<23:07:14, 1.22s/step] Training: 2%|▏ | 1733/70000 [36:13<22:56:22, 1.21s/step] Training: 2%|▏ | 1734/70000 [36:14<23:38:00, 1.25s/step] Training: 2%|▏ | 1735/70000 [36:15<23:23:08, 1.23s/step] Training: 2%|▏ | 1736/70000 [36:16<23:55:07, 1.26s/step] Training: 2%|▏ | 1737/70000 [36:18<24:32:47, 1.29s/step] Training: 2%|▏ | 1738/70000 [36:19<23:53:54, 1.26s/step] Training: 2%|▏ | 1739/70000 [36:20<23:30:08, 1.24s/step] Training: 2%|▏ | 1740/70000 [36:21<23:14:58, 1.23s/step] Training: 2%|▏ | 1741/70000 [36:23<23:02:05, 1.21s/step] Training: 2%|▏ | 1742/70000 [36:24<23:42:06, 1.25s/step] Training: 2%|▏ | 1743/70000 [36:25<24:06:23, 1.27s/step] Training: 2%|▏ | 1744/70000 [36:27<24:23:50, 1.29s/step] Training: 2%|▏ | 1745/70000 [36:28<24:46:54, 1.31s/step] Training: 2%|▏ | 1746/70000 [36:29<24:04:04, 1.27s/step] Training: 2%|▏ | 1747/70000 [36:30<23:38:17, 1.25s/step] Training: 2%|▏ | 1748/70000 [36:31<23:18:29, 1.23s/step] Training: 2%|▏ | 1749/70000 [36:33<23:06:42, 1.22s/step] Training: 2%|▎ | 1750/70000 [36:34<23:58:36, 1.26s/step] Training: 3%|▎ | 1751/70000 [36:35<24:21:43, 1.29s/step] Training: 3%|▎ | 1752/70000 [36:37<24:40:59, 1.30s/step] Training: 3%|▎ | 1753/70000 [36:38<25:14:14, 1.33s/step] Training: 3%|▎ | 1754/70000 [36:39<24:26:28, 1.29s/step] Training: 3%|▎ | 1755/70000 [36:40<23:54:00, 1.26s/step] Training: 3%|▎ | 1756/70000 [36:42<23:28:52, 1.24s/step] Training: 3%|▎ | 1757/70000 [36:43<23:12:34, 1.22s/step] Training: 3%|▎ | 1758/70000 [36:44<23:23:36, 1.23s/step] Training: 3%|▎ | 1759/70000 [36:45<23:21:13, 1.23s/step] Training: 3%|▎ | 1760/70000 [36:47<23:54:59, 1.26s/step] Training: 3%|▎ | 1761/70000 [36:48<24:18:01, 1.28s/step] Training: 3%|▎ | 1762/70000 [36:49<23:47:08, 1.25s/step] Training: 3%|▎ | 1763/70000 [36:50<23:24:30, 1.23s/step] Training: 3%|▎ | 1764/70000 [36:52<23:11:02, 1.22s/step] Training: 3%|▎ | 1765/70000 [36:53<22:59:25, 1.21s/step] Training: 3%|▎ | 1766/70000 [36:54<23:40:27, 1.25s/step] Training: 3%|▎ | 1767/70000 [36:55<23:28:08, 1.24s/step] Training: 3%|▎ | 1768/70000 [36:57<23:58:52, 1.27s/step] Training: 3%|▎ | 1769/70000 [36:58<24:56:44, 1.32s/step] Training: 3%|▎ | 1770/70000 [36:59<25:21:30, 1.34s/step] Training: 3%|▎ | 1771/70000 [37:01<24:28:31, 1.29s/step] Training: 3%|▎ | 1772/70000 [37:02<23:52:44, 1.26s/step] Training: 3%|▎ | 1773/70000 [37:03<23:28:13, 1.24s/step] Training: 3%|▎ | 1774/70000 [37:04<23:59:55, 1.27s/step] Training: 3%|▎ | 1775/70000 [37:06<24:23:31, 1.29s/step] Training: 3%|▎ | 1776/70000 [37:07<24:36:29, 1.30s/step] Training: 3%|▎ | 1777/70000 [37:08<25:25:21, 1.34s/step] Training: 3%|▎ | 1778/70000 [37:10<25:21:20, 1.34s/step] Training: 3%|▎ | 1779/70000 [37:11<24:28:14, 1.29s/step] Training: 3%|▎ | 1780/70000 [37:12<23:52:28, 1.26s/step] Training: 3%|▎ | 1781/70000 [37:13<23:28:25, 1.24s/step] Training: 3%|▎ | 1782/70000 [37:15<24:18:38, 1.28s/step] Training: 3%|▎ | 1783/70000 [37:16<24:32:33, 1.30s/step] Training: 3%|▎ | 1784/70000 [37:17<24:45:27, 1.31s/step] Training: 3%|▎ | 1785/70000 [37:19<24:55:24, 1.32s/step] Training: 3%|▎ | 1786/70000 [37:20<24:38:40, 1.30s/step] Training: 3%|▎ | 1787/70000 [37:21<23:59:34, 1.27s/step] Training: 3%|▎ | 1788/70000 [37:22<23:33:16, 1.24s/step] Training: 3%|▎ | 1789/70000 [37:24<23:16:03, 1.23s/step] Training: 3%|▎ | 1790/70000 [37:25<23:24:02, 1.24s/step] Training: 3%|▎ | 1791/70000 [37:26<23:22:09, 1.23s/step] Training: 3%|▎ | 1792/70000 [37:27<23:53:39, 1.26s/step] Training: 3%|▎ | 1793/70000 [37:29<24:15:20, 1.28s/step] Training: 3%|▎ | 1794/70000 [37:30<24:40:25, 1.30s/step] Training: 3%|▎ | 1795/70000 [37:31<23:58:54, 1.27s/step] Training: 3%|▎ | 1796/70000 [37:32<23:32:29, 1.24s/step] Training: 3%|▎ | 1797/70000 [37:34<23:13:41, 1.23s/step] Training: 3%|▎ | 1798/70000 [37:35<23:50:10, 1.26s/step] Training: 3%|▎ | 1799/70000 [37:36<23:35:25, 1.25s/step] Training: 3%|▎ | 1800/70000 [37:38<24:15:12, 1.28s/step]INFO 2026-03-12 20:47:30 ot_train.py:435 step:2K smpl:115K ep:392 epch:1.53 loss:0.280 grdn:17.905 lr:2.5e-05 updt_s:1.241 data_s:0.019 Training: 3%|▎ | 1801/70000 [37:39<24:50:51, 1.31s/step] Training: 3%|▎ | 1802/70000 [37:40<25:08:32, 1.33s/step] Training: 3%|▎ | 1803/70000 [37:41<24:18:02, 1.28s/step] Training: 3%|▎ | 1804/70000 [37:43<23:49:15, 1.26s/step] Training: 3%|▎ | 1805/70000 [37:44<23:25:35, 1.24s/step] Training: 3%|▎ | 1806/70000 [37:45<23:57:05, 1.26s/step] Training: 3%|▎ | 1807/70000 [37:46<24:20:26, 1.28s/step] Training: 3%|▎ | 1808/70000 [37:48<24:35:34, 1.30s/step] Training: 3%|▎ | 1809/70000 [37:49<24:46:04, 1.31s/step] Training: 3%|▎ | 1810/70000 [37:51<25:01:50, 1.32s/step] Training: 3%|▎ | 1811/70000 [37:52<24:15:00, 1.28s/step] Training: 3%|▎ | 1812/70000 [37:53<23:42:24, 1.25s/step] Training: 3%|▎ | 1813/70000 [37:54<23:23:17, 1.23s/step] Training: 3%|▎ | 1814/70000 [37:55<24:06:38, 1.27s/step] Training: 3%|▎ | 1815/70000 [37:57<24:28:24, 1.29s/step] Training: 3%|▎ | 1816/70000 [37:58<24:42:58, 1.30s/step] Training: 3%|▎ | 1817/70000 [37:59<24:54:25, 1.32s/step] Training: 3%|▎ | 1818/70000 [38:01<24:30:44, 1.29s/step] Training: 3%|▎ | 1819/70000 [38:02<23:52:24, 1.26s/step] Training: 3%|▎ | 1820/70000 [38:03<23:28:06, 1.24s/step] Training: 3%|▎ | 1821/70000 [38:04<23:11:25, 1.22s/step] Training: 3%|▎ | 1822/70000 [38:06<23:23:00, 1.23s/step] Training: 3%|▎ | 1823/70000 [38:07<23:26:49, 1.24s/step] Training: 3%|▎ | 1824/70000 [38:08<23:58:42, 1.27s/step] Training: 3%|▎ | 1825/70000 [38:09<24:23:59, 1.29s/step] Training: 3%|▎ | 1826/70000 [38:11<24:53:12, 1.31s/step] Training: 3%|▎ | 1827/70000 [38:12<24:06:48, 1.27s/step] Training: 3%|▎ | 1828/70000 [38:13<23:38:25, 1.25s/step] Training: 3%|▎ | 1829/70000 [38:14<23:19:53, 1.23s/step] Training: 3%|▎ | 1830/70000 [38:16<23:54:02, 1.26s/step] Training: 3%|▎ | 1831/70000 [38:17<23:39:05, 1.25s/step] Training: 3%|▎ | 1832/70000 [38:18<24:15:09, 1.28s/step] Training: 3%|▎ | 1833/70000 [38:20<24:44:32, 1.31s/step] Training: 3%|▎ | 1834/70000 [38:21<25:09:04, 1.33s/step] Training: 3%|▎ | 1835/70000 [38:22<24:18:19, 1.28s/step] Training: 3%|▎ | 1836/70000 [38:23<23:46:22, 1.26s/step] Training: 3%|▎ | 1837/70000 [38:25<23:22:57, 1.23s/step] Training: 3%|▎ | 1838/70000 [38:26<23:58:22, 1.27s/step] Training: 3%|▎ | 1839/70000 [38:27<24:29:35, 1.29s/step] Training: 3%|▎ | 1840/70000 [38:29<24:44:13, 1.31s/step] Training: 3%|▎ | 1841/70000 [38:30<24:52:22, 1.31s/step] Training: 3%|▎ | 1842/70000 [38:31<25:08:25, 1.33s/step] Training: 3%|▎ | 1843/70000 [38:32<24:17:36, 1.28s/step] Training: 3%|▎ | 1844/70000 [38:34<23:45:36, 1.26s/step] Training: 3%|▎ | 1845/70000 [38:35<23:27:28, 1.24s/step] Training: 3%|▎ | 1846/70000 [38:36<24:12:49, 1.28s/step] Training: 3%|▎ | 1847/70000 [38:38<24:33:17, 1.30s/step] Training: 3%|▎ | 1848/70000 [38:39<24:47:45, 1.31s/step] Training: 3%|▎ | 1849/70000 [38:40<24:55:19, 1.32s/step] Training: 3%|▎ | 1850/70000 [38:41<24:29:38, 1.29s/step] Training: 3%|▎ | 1851/70000 [38:43<23:51:24, 1.26s/step] Training: 3%|▎ | 1852/70000 [38:44<23:28:23, 1.24s/step] Training: 3%|▎ | 1853/70000 [38:45<23:10:57, 1.22s/step] Training: 3%|▎ | 1854/70000 [38:46<23:17:45, 1.23s/step] Training: 3%|▎ | 1855/70000 [38:48<23:15:09, 1.23s/step] Training: 3%|▎ | 1856/70000 [38:49<23:48:50, 1.26s/step] Training: 3%|▎ | 1857/70000 [38:50<24:14:05, 1.28s/step] Training: 3%|▎ | 1858/70000 [38:52<24:42:01, 1.30s/step] Training: 3%|▎ | 1859/70000 [38:53<24:01:26, 1.27s/step] Training: 3%|▎ | 1860/70000 [38:54<23:37:04, 1.25s/step] Training: 3%|▎ | 1861/70000 [38:55<23:16:18, 1.23s/step] Training: 3%|▎ | 1862/70000 [38:56<23:50:30, 1.26s/step] Training: 3%|▎ | 1863/70000 [38:58<23:33:18, 1.24s/step] Training: 3%|▎ | 1864/70000 [38:59<24:14:02, 1.28s/step] Training: 3%|▎ | 1865/70000 [39:00<24:46:42, 1.31s/step] Training: 3%|▎ | 1866/70000 [39:02<25:00:41, 1.32s/step] Training: 3%|▎ | 1867/70000 [39:03<24:13:47, 1.28s/step] Training: 3%|▎ | 1868/70000 [39:04<23:43:10, 1.25s/step] Training: 3%|▎ | 1869/70000 [39:05<23:20:47, 1.23s/step] Training: 3%|▎ | 1870/70000 [39:07<23:55:43, 1.26s/step] Training: 3%|▎ | 1871/70000 [39:08<24:17:47, 1.28s/step] Training: 3%|▎ | 1872/70000 [39:09<24:30:42, 1.30s/step] Training: 3%|▎ | 1873/70000 [39:11<24:41:33, 1.30s/step] Training: 3%|▎ | 1874/70000 [39:12<24:57:19, 1.32s/step] Training: 3%|▎ | 1875/70000 [39:13<24:10:02, 1.28s/step] Training: 3%|▎ | 1876/70000 [39:14<23:39:42, 1.25s/step] Training: 3%|▎ | 1877/70000 [39:16<23:18:09, 1.23s/step] Training: 3%|▎ | 1878/70000 [39:17<24:01:53, 1.27s/step] Training: 3%|▎ | 1879/70000 [39:18<24:20:05, 1.29s/step] Training: 3%|▎ | 1880/70000 [39:20<24:45:10, 1.31s/step] Training: 3%|▎ | 1881/70000 [39:21<24:54:40, 1.32s/step] Training: 3%|▎ | 1882/70000 [39:22<24:28:46, 1.29s/step] Training: 3%|▎ | 1883/70000 [39:23<23:50:01, 1.26s/step] Training: 3%|▎ | 1884/70000 [39:25<23:25:04, 1.24s/step] Training: 3%|▎ | 1885/70000 [39:26<23:09:12, 1.22s/step] Training: 3%|▎ | 1886/70000 [39:27<23:21:36, 1.23s/step] Training: 3%|▎ | 1887/70000 [39:28<23:21:25, 1.23s/step] Training: 3%|▎ | 1888/70000 [39:30<23:52:37, 1.26s/step] Training: 3%|▎ | 1889/70000 [39:31<24:12:38, 1.28s/step] Training: 3%|▎ | 1890/70000 [39:32<24:37:26, 1.30s/step] Training: 3%|▎ | 1891/70000 [39:33<23:55:44, 1.26s/step] Training: 3%|▎ | 1892/70000 [39:35<23:31:18, 1.24s/step] Training: 3%|▎ | 1893/70000 [39:36<23:10:23, 1.22s/step] Training: 3%|▎ | 1894/70000 [39:37<23:45:45, 1.26s/step] Training: 3%|▎ | 1895/70000 [39:38<23:33:04, 1.24s/step] Training: 3%|▎ | 1896/70000 [39:40<24:15:41, 1.28s/step] Training: 3%|▎ | 1897/70000 [39:41<23:55:56, 1.27s/step] Training: 3%|▎ | 1898/70000 [39:42<25:00:08, 1.32s/step] Training: 3%|▎ | 1899/70000 [39:44<24:12:15, 1.28s/step] Training: 3%|▎ | 1900/70000 [39:45<23:41:09, 1.25s/step]INFO 2026-03-12 20:49:37 ot_train.py:435 step:2K smpl:122K ep:414 epch:1.61 loss:0.276 grdn:18.411 lr:2.5e-05 updt_s:1.252 data_s:0.018 Training: 3%|▎ | 1901/70000 [39:46<23:18:46, 1.23s/step] Training: 3%|▎ | 1902/70000 [39:47<23:53:13, 1.26s/step] Training: 3%|▎ | 1903/70000 [39:49<24:15:08, 1.28s/step] Training: 3%|▎ | 1904/70000 [39:50<24:30:23, 1.30s/step] Training: 3%|▎ | 1905/70000 [39:51<23:59:55, 1.27s/step] Training: 3%|▎ | 1906/70000 [39:53<24:52:00, 1.31s/step] Training: 3%|▎ | 1907/70000 [39:54<24:05:34, 1.27s/step] Training: 3%|▎ | 1908/70000 [39:55<23:35:57, 1.25s/step] Training: 3%|▎ | 1909/70000 [39:56<23:19:17, 1.23s/step] Training: 3%|▎ | 1910/70000 [39:57<24:05:09, 1.27s/step] Training: 3%|▎ | 1911/70000 [39:59<24:22:32, 1.29s/step] Training: 3%|▎ | 1912/70000 [40:00<24:45:29, 1.31s/step] Training: 3%|▎ | 1913/70000 [40:01<24:51:11, 1.31s/step] Training: 3%|▎ | 1914/70000 [40:03<24:26:24, 1.29s/step] Training: 3%|▎ | 1915/70000 [40:04<23:48:48, 1.26s/step] Training: 3%|▎ | 1916/70000 [40:05<23:25:08, 1.24s/step] Training: 3%|▎ | 1917/70000 [40:06<23:07:45, 1.22s/step] Training: 3%|▎ | 1918/70000 [40:07<23:14:15, 1.23s/step] Training: 3%|▎ | 1919/70000 [40:09<23:13:56, 1.23s/step] Training: 3%|▎ | 1920/70000 [40:10<23:50:14, 1.26s/step] Training: 3%|▎ | 1921/70000 [40:11<24:12:03, 1.28s/step] Training: 3%|▎ | 1922/70000 [40:13<24:38:20, 1.30s/step] Training: 3%|▎ | 1923/70000 [40:14<23:55:41, 1.27s/step] Training: 3%|▎ | 1924/70000 [40:15<23:29:40, 1.24s/step] Training: 3%|▎ | 1925/70000 [40:16<23:10:19, 1.23s/step] Training: 3%|▎ | 1926/70000 [40:18<23:44:50, 1.26s/step] Training: 3%|▎ | 1927/70000 [40:19<23:26:02, 1.24s/step] Training: 3%|▎ | 1928/70000 [40:20<24:11:14, 1.28s/step] Training: 3%|▎ | 1929/70000 [40:21<23:53:40, 1.26s/step] Training: 3%|▎ | 1930/70000 [40:23<24:28:03, 1.29s/step] Training: 3%|▎ | 1931/70000 [40:24<23:50:41, 1.26s/step] Training: 3%|▎ | 1932/70000 [40:25<23:25:05, 1.24s/step] Training: 3%|▎ | 1933/70000 [40:26<23:09:06, 1.22s/step] Training: 3%|▎ | 1934/70000 [40:28<23:46:56, 1.26s/step] Training: 3%|▎ | 1935/70000 [40:29<24:09:53, 1.28s/step] Training: 3%|▎ | 1936/70000 [40:30<24:29:37, 1.30s/step] Training: 3%|▎ | 1937/70000 [40:32<23:59:35, 1.27s/step] Training: 3%|▎ | 1938/70000 [40:33<24:29:40, 1.30s/step] Training: 3%|▎ | 1939/70000 [40:34<23:49:58, 1.26s/step] Training: 3%|▎ | 1940/70000 [40:35<23:25:37, 1.24s/step] Training: 3%|▎ | 1941/70000 [40:36<23:11:18, 1.23s/step] Training: 3%|▎ | 1942/70000 [40:38<23:57:57, 1.27s/step] Training: 3%|▎ | 1943/70000 [40:39<24:21:19, 1.29s/step] Training: 3%|▎ | 1944/70000 [40:41<24:51:31, 1.31s/step] Training: 3%|▎ | 1945/70000 [40:42<24:56:56, 1.32s/step] Training: 3%|▎ | 1946/70000 [40:43<24:37:03, 1.30s/step] Training: 3%|▎ | 1947/70000 [40:44<23:57:13, 1.27s/step] Training: 3%|▎ | 1948/70000 [40:46<23:29:10, 1.24s/step] Training: 3%|▎ | 1949/70000 [40:47<23:10:42, 1.23s/step] Training: 3%|▎ | 1950/70000 [40:48<23:23:06, 1.24s/step] Training: 3%|▎ | 1951/70000 [40:49<23:19:43, 1.23s/step] Training: 3%|▎ | 1952/70000 [40:51<23:51:11, 1.26s/step] Training: 3%|▎ | 1953/70000 [40:52<24:11:46, 1.28s/step] Training: 3%|▎ | 1954/70000 [40:53<24:45:31, 1.31s/step] Training: 3%|▎ | 1955/70000 [40:54<24:02:26, 1.27s/step] Training: 3%|▎ | 1956/70000 [40:56<23:32:15, 1.25s/step] Training: 3%|▎ | 1957/70000 [40:57<23:12:49, 1.23s/step] Training: 3%|▎ | 1958/70000 [40:58<23:48:22, 1.26s/step] Training: 3%|▎ | 1959/70000 [40:59<23:31:28, 1.24s/step] Training: 3%|▎ | 1960/70000 [41:01<24:42:49, 1.31s/step] Training: 3%|▎ | 1961/70000 [41:02<24:20:14, 1.29s/step] Training: 3%|▎ | 1962/70000 [41:03<24:45:54, 1.31s/step] Training: 3%|▎ | 1963/70000 [41:05<24:00:54, 1.27s/step] Training: 3%|▎ | 1964/70000 [41:06<23:34:12, 1.25s/step] Training: 3%|▎ | 1965/70000 [41:07<23:15:40, 1.23s/step] Training: 3%|▎ | 1966/70000 [41:08<23:55:50, 1.27s/step] Training: 3%|▎ | 1967/70000 [41:10<24:21:19, 1.29s/step] Training: 3%|▎ | 1968/70000 [41:11<24:33:42, 1.30s/step] Training: 3%|▎ | 1969/70000 [41:12<24:09:53, 1.28s/step] Training: 3%|▎ | 1970/70000 [41:14<24:41:25, 1.31s/step] Training: 3%|▎ | 1971/70000 [41:15<23:58:14, 1.27s/step] Training: 3%|▎ | 1972/70000 [41:16<23:32:43, 1.25s/step] Training: 3%|▎ | 1973/70000 [41:17<23:13:37, 1.23s/step] Training: 3%|▎ | 1974/70000 [41:19<24:11:02, 1.28s/step] Training: 3%|▎ | 1975/70000 [41:20<24:33:56, 1.30s/step] Training: 3%|▎ | 1976/70000 [41:21<24:57:37, 1.32s/step] Training: 3%|▎ | 1977/70000 [41:23<25:02:16, 1.33s/step] Training: 3%|▎ | 1978/70000 [41:24<24:34:35, 1.30s/step] Training: 3%|▎ | 1979/70000 [41:25<23:52:45, 1.26s/step] Training: 3%|▎ | 1980/70000 [41:26<23:27:47, 1.24s/step] Training: 3%|▎ | 1981/70000 [41:27<23:10:45, 1.23s/step] Training: 3%|▎ | 1982/70000 [41:29<23:21:00, 1.24s/step] Training: 3%|▎ | 1983/70000 [41:30<23:17:48, 1.23s/step] Training: 3%|▎ | 1984/70000 [41:31<23:51:03, 1.26s/step] Training: 3%|▎ | 1985/70000 [41:33<24:13:52, 1.28s/step] Training: 3%|▎ | 1986/70000 [41:34<24:39:32, 1.31s/step] Training: 3%|▎ | 1987/70000 [41:35<23:59:39, 1.27s/step] Training: 3%|▎ | 1988/70000 [41:36<23:33:19, 1.25s/step] Training: 3%|▎ | 1989/70000 [41:37<23:15:13, 1.23s/step] Training: 3%|▎ | 1990/70000 [41:39<23:48:35, 1.26s/step] Training: 3%|▎ | 1991/70000 [41:40<23:32:27, 1.25s/step] Training: 3%|▎ | 1992/70000 [41:41<24:17:37, 1.29s/step] Training: 3%|▎ | 1993/70000 [41:43<23:57:41, 1.27s/step] Training: 3%|▎ | 1994/70000 [41:44<24:30:12, 1.30s/step] Training: 3%|▎ | 1995/70000 [41:45<23:51:38, 1.26s/step] Training: 3%|▎ | 1996/70000 [41:46<23:26:51, 1.24s/step] Training: 3%|▎ | 1997/70000 [41:48<23:09:26, 1.23s/step] Training: 3%|▎ | 1998/70000 [41:49<23:51:04, 1.26s/step] Training: 3%|▎ | 1999/70000 [41:50<24:16:39, 1.29s/step] Training: 3%|▎ | 2000/70000 [41:52<24:32:01, 1.30s/step]INFO 2026-03-12 20:51:44 ot_train.py:435 step:2K smpl:128K ep:436 epch:1.70 loss:0.275 grdn:18.447 lr:2.5e-05 updt_s:1.248 data_s:0.018 Training: 3%|▎ | 2001/70000 [41:53<24:03:32, 1.27s/step] Training: 3%|▎ | 2002/70000 [41:54<24:30:56, 1.30s/step] Training: 3%|▎ | 2003/70000 [41:55<23:50:03, 1.26s/step] Training: 3%|▎ | 2004/70000 [41:56<23:26:05, 1.24s/step] Training: 3%|▎ | 2005/70000 [41:58<23:08:28, 1.23s/step] Training: 3%|▎ | 2006/70000 [41:59<24:00:41, 1.27s/step] Training: 3%|▎ | 2007/70000 [42:00<24:19:35, 1.29s/step] Training: 3%|▎ | 2008/70000 [42:02<24:51:59, 1.32s/step] Training: 3%|▎ | 2009/70000 [42:03<24:54:40, 1.32s/step] Training: 3%|▎ | 2010/70000 [42:04<24:26:35, 1.29s/step] Training: 3%|▎ | 2011/70000 [42:06<23:49:03, 1.26s/step] Training: 3%|▎ | 2012/70000 [42:07<23:26:07, 1.24s/step] Training: 3%|▎ | 2013/70000 [42:08<23:09:01, 1.23s/step] Training: 3%|▎ | 2014/70000 [42:09<23:26:17, 1.24s/step] Training: 3%|▎ | 2015/70000 [42:10<23:21:35, 1.24s/step] Training: 3%|▎ | 2016/70000 [42:12<23:52:18, 1.26s/step] Training: 3%|▎ | 2017/70000 [42:13<24:14:42, 1.28s/step] Training: 3%|▎ | 2018/70000 [42:14<24:38:54, 1.31s/step] Training: 3%|▎ | 2019/70000 [42:16<23:56:37, 1.27s/step] Training: 3%|▎ | 2020/70000 [42:17<23:29:57, 1.24s/step] Training: 3%|▎ | 2021/70000 [42:18<23:12:22, 1.23s/step] Training: 3%|▎ | 2022/70000 [42:19<23:46:52, 1.26s/step] Training: 3%|▎ | 2023/70000 [42:21<23:30:49, 1.25s/step] Training: 3%|▎ | 2024/70000 [42:22<24:12:42, 1.28s/step] Training: 3%|▎ | 2025/70000 [42:23<23:58:09, 1.27s/step] Training: 3%|▎ | 2026/70000 [42:24<24:28:30, 1.30s/step] Training: 3%|▎ | 2027/70000 [42:26<23:49:35, 1.26s/step] Training: 3%|▎ | 2028/70000 [42:27<23:24:33, 1.24s/step] Training: 3%|▎ | 2029/70000 [42:28<23:07:19, 1.22s/step] Training: 3%|▎ | 2030/70000 [42:29<23:46:32, 1.26s/step] Training: 3%|▎ | 2031/70000 [42:31<24:10:06, 1.28s/step] Training: 3%|▎ | 2032/70000 [42:32<24:24:55, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=66605 Training: 3%|▎ | 2033/70000 [42:33<23:58:31, 1.27s/step] Training: 3%|▎ | 2034/70000 [42:35<24:27:39, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=11176 Training: 3%|▎ | 2035/70000 [42:36<23:48:32, 1.26s/step] Training: 3%|▎ | 2036/70000 [42:37<23:24:29, 1.24s/step] Training: 3%|▎ | 2037/70000 [42:38<23:07:22, 1.22s/step] Training: 3%|▎ | 2038/70000 [42:40<23:55:40, 1.27s/step] Training: 3%|▎ | 2039/70000 [42:41<24:14:04, 1.28s/step] Training: 3%|▎ | 2040/70000 [42:42<24:41:57, 1.31s/step] Training: 3%|▎ | 2041/70000 [42:44<24:47:52, 1.31s/step] Training: 3%|▎ | 2042/70000 [42:45<24:23:21, 1.29s/step] Training: 3%|▎ | 2043/70000 [42:46<23:45:47, 1.26s/step] Training: 3%|▎ | 2044/70000 [42:47<23:22:12, 1.24s/step] Training: 3%|▎ | 2045/70000 [42:48<23:06:14, 1.22s/step] Training: 3%|▎ | 2046/70000 [42:50<23:14:40, 1.23s/step] Training: 3%|▎ | 2047/70000 [42:51<23:14:15, 1.23s/step] Training: 3%|▎ | 2048/70000 [42:52<23:47:56, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=66605 Training: 3%|▎ | 2049/70000 [42:53<24:10:29, 1.28s/step] Training: 3%|▎ | 2050/70000 [42:55<24:34:48, 1.30s/step] Training: 3%|▎ | 2051/70000 [42:56<23:53:50, 1.27s/step] Training: 3%|▎ | 2052/70000 [42:57<23:27:23, 1.24s/step] Training: 3%|▎ | 2053/70000 [42:58<23:11:27, 1.23s/step] Training: 3%|▎ | 2054/70000 [43:00<23:44:06, 1.26s/step] Training: 3%|▎ | 2055/70000 [43:01<23:27:55, 1.24s/step] Training: 3%|▎ | 2056/70000 [43:02<24:08:08, 1.28s/step] Training: 3%|▎ | 2057/70000 [43:04<23:52:57, 1.27s/step] Training: 3%|▎ | 2058/70000 [43:05<24:26:30, 1.30s/step] Training: 3%|▎ | 2059/70000 [43:06<23:46:32, 1.26s/step] Training: 3%|▎ | 2060/70000 [43:07<23:21:35, 1.24s/step] Training: 3%|▎ | 2061/70000 [43:08<23:05:39, 1.22s/step] Training: 3%|▎ | 2062/70000 [43:10<23:43:53, 1.26s/step] Training: 3%|▎ | 2063/70000 [43:11<24:42:02, 1.31s/step] Training: 3%|▎ | 2064/70000 [43:13<24:47:28, 1.31s/step] Training: 3%|▎ | 2065/70000 [43:14<24:09:54, 1.28s/step] Training: 3%|▎ | 2066/70000 [43:15<24:40:58, 1.31s/step] Training: 3%|▎ | 2067/70000 [43:16<23:56:41, 1.27s/step] Training: 3%|▎ | 2068/70000 [43:17<23:29:00, 1.24s/step] Training: 3%|▎ | 2069/70000 [43:19<23:10:47, 1.23s/step] Training: 3%|▎ | 2070/70000 [43:20<23:42:28, 1.26s/step] Training: 3%|▎ | 2071/70000 [43:21<24:46:14, 1.31s/step] Training: 3%|▎ | 2072/70000 [43:23<25:02:38, 1.33s/step] Training: 3%|▎ | 2073/70000 [43:24<25:01:10, 1.33s/step] Training: 3%|▎ | 2074/70000 [43:25<24:29:10, 1.30s/step] Training: 3%|▎ | 2075/70000 [43:27<23:48:21, 1.26s/step] Training: 3%|▎ | 2076/70000 [43:28<23:23:10, 1.24s/step] Training: 3%|▎ | 2077/70000 [43:29<23:07:06, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58887 Training: 3%|▎ | 2078/70000 [43:30<23:08:50, 1.23s/step] Training: 3%|▎ | 2079/70000 [43:31<23:09:42, 1.23s/step] Training: 3%|▎ | 2080/70000 [43:33<23:43:02, 1.26s/step] Training: 3%|▎ | 2081/70000 [43:34<24:05:40, 1.28s/step] Training: 3%|▎ | 2082/70000 [43:35<24:33:18, 1.30s/step] Training: 3%|▎ | 2083/70000 [43:37<23:51:37, 1.26s/step] Training: 3%|▎ | 2084/70000 [43:38<23:25:16, 1.24s/step] Training: 3%|▎ | 2085/70000 [43:39<23:07:18, 1.23s/step] Training: 3%|▎ | 2086/70000 [43:40<23:01:31, 1.22s/step] Training: 3%|▎ | 2087/70000 [43:41<23:32:39, 1.25s/step] Training: 3%|▎ | 2088/70000 [43:43<24:12:43, 1.28s/step] Training: 3%|▎ | 2089/70000 [43:44<23:55:34, 1.27s/step] Training: 3%|▎ | 2090/70000 [43:45<24:24:59, 1.29s/step] Training: 3%|▎ | 2091/70000 [43:47<23:49:15, 1.26s/step] Training: 3%|▎ | 2092/70000 [43:48<23:23:26, 1.24s/step] Training: 3%|▎ | 2093/70000 [43:49<23:06:04, 1.22s/step] Training: 3%|▎ | 2094/70000 [43:50<23:41:46, 1.26s/step] Training: 3%|▎ | 2095/70000 [43:52<24:07:26, 1.28s/step] Training: 3%|▎ | 2096/70000 [43:53<24:23:59, 1.29s/step] Training: 3%|▎ | 2097/70000 [43:54<23:59:53, 1.27s/step] Training: 3%|▎ | 2098/70000 [43:56<24:30:46, 1.30s/step] Training: 3%|▎ | 2099/70000 [43:57<23:49:46, 1.26s/step] Training: 3%|▎ | 2100/70000 [43:58<23:25:41, 1.24s/step]INFO 2026-03-12 20:53:50 ot_train.py:435 step:2K smpl:134K ep:457 epch:1.78 loss:0.283 grdn:18.700 lr:2.5e-05 updt_s:1.243 data_s:0.019 Training: 3%|▎ | 2101/70000 [43:59<23:06:41, 1.23s/step] Training: 3%|▎ | 2102/70000 [44:00<23:44:21, 1.26s/step] Training: 3%|▎ | 2103/70000 [44:02<24:03:48, 1.28s/step] Training: 3%|▎ | 2104/70000 [44:03<24:31:29, 1.30s/step] Training: 3%|▎ | 2105/70000 [44:04<24:40:30, 1.31s/step] Training: 3%|▎ | 2106/70000 [44:06<24:14:07, 1.29s/step] Training: 3%|▎ | 2107/70000 [44:07<23:38:40, 1.25s/step] Training: 3%|▎ | 2108/70000 [44:08<23:15:37, 1.23s/step] Training: 3%|▎ | 2109/70000 [44:09<23:00:22, 1.22s/step] Training: 3%|▎ | 2110/70000 [44:10<23:02:34, 1.22s/step] Training: 3%|▎ | 2111/70000 [44:12<23:49:42, 1.26s/step] Training: 3%|▎ | 2112/70000 [44:13<24:12:05, 1.28s/step] Training: 3%|▎ | 2113/70000 [44:14<24:27:03, 1.30s/step] Training: 3%|▎ | 2114/70000 [44:16<24:47:15, 1.31s/step] Training: 3%|▎ | 2115/70000 [44:17<24:00:41, 1.27s/step] Training: 3%|▎ | 2116/70000 [44:18<23:33:20, 1.25s/step] Training: 3%|▎ | 2117/70000 [44:19<23:12:06, 1.23s/step] Training: 3%|▎ | 2118/70000 [44:21<23:06:06, 1.23s/step] Training: 3%|▎ | 2119/70000 [44:22<23:38:31, 1.25s/step] Training: 3%|▎ | 2120/70000 [44:23<24:18:09, 1.29s/step] Training: 3%|▎ | 2121/70000 [44:25<24:01:54, 1.27s/step] Training: 3%|▎ | 2122/70000 [44:26<24:28:18, 1.30s/step] Training: 3%|▎ | 2123/70000 [44:27<23:50:30, 1.26s/step] Training: 3%|▎ | 2124/70000 [44:28<23:24:55, 1.24s/step] Training: 3%|▎ | 2125/70000 [44:29<23:06:42, 1.23s/step] Training: 3%|▎ | 2126/70000 [44:31<23:40:35, 1.26s/step] Training: 3%|▎ | 2127/70000 [44:32<24:02:54, 1.28s/step] Training: 3%|▎ | 2128/70000 [44:33<23:41:17, 1.26s/step] Training: 3%|▎ | 2129/70000 [44:35<24:06:34, 1.28s/step] Training: 3%|▎ | 2130/70000 [44:36<24:34:10, 1.30s/step] Training: 3%|▎ | 2131/70000 [44:37<23:53:02, 1.27s/step] Training: 3%|▎ | 2132/70000 [44:38<23:27:30, 1.24s/step] Training: 3%|▎ | 2133/70000 [44:40<23:09:05, 1.23s/step] Training: 3%|▎ | 2134/70000 [44:41<23:42:43, 1.26s/step] Training: 3%|▎ | 2135/70000 [44:42<23:25:02, 1.24s/step] Training: 3%|▎ | 2136/70000 [44:43<23:54:41, 1.27s/step] Training: 3%|▎ | 2137/70000 [44:45<24:06:52, 1.28s/step] Training: 3%|▎ | 2138/70000 [44:46<24:30:24, 1.30s/step] Training: 3%|▎ | 2139/70000 [44:47<23:53:56, 1.27s/step] Training: 3%|▎ | 2140/70000 [44:48<23:31:56, 1.25s/step] Training: 3%|▎ | 2141/70000 [44:50<23:12:38, 1.23s/step] Training: 3%|▎ | 2142/70000 [44:51<23:07:13, 1.23s/step] Training: 3%|▎ | 2143/70000 [44:52<23:44:24, 1.26s/step] Training: 3%|▎ | 2144/70000 [44:54<24:06:29, 1.28s/step] Training: 3%|▎ | 2145/70000 [44:55<24:22:06, 1.29s/step] Training: 3%|▎ | 2146/70000 [44:56<24:44:55, 1.31s/step] Training: 3%|▎ | 2147/70000 [44:57<23:59:54, 1.27s/step] Training: 3%|▎ | 2148/70000 [44:59<23:30:54, 1.25s/step] Training: 3%|▎ | 2149/70000 [45:00<23:10:08, 1.23s/step] Training: 3%|▎ | 2150/70000 [45:01<23:07:28, 1.23s/step] Training: 3%|▎ | 2151/70000 [45:02<23:38:55, 1.25s/step] Training: 3%|▎ | 2152/70000 [45:04<23:29:08, 1.25s/step] Training: 3%|▎ | 2153/70000 [45:05<23:16:45, 1.24s/step] Training: 3%|▎ | 2154/70000 [45:06<23:59:50, 1.27s/step] Training: 3%|▎ | 2155/70000 [45:07<23:27:43, 1.24s/step] Training: 3%|▎ | 2156/70000 [45:08<23:08:19, 1.23s/step] Training: 3%|▎ | 2157/70000 [45:10<22:54:41, 1.22s/step] Training: 3%|▎ | 2158/70000 [45:11<22:46:24, 1.21s/step] Training: 3%|▎ | 2159/70000 [45:12<24:08:29, 1.28s/step] Training: 3%|▎ | 2160/70000 [45:14<23:46:22, 1.26s/step] Training: 3%|▎ | 2161/70000 [45:15<24:12:19, 1.28s/step] Training: 3%|▎ | 2162/70000 [45:16<24:53:23, 1.32s/step] Training: 3%|▎ | 2163/70000 [45:17<24:05:02, 1.28s/step] Training: 3%|▎ | 2164/70000 [45:19<23:35:49, 1.25s/step] Training: 3%|▎ | 2165/70000 [45:20<23:14:49, 1.23s/step] Training: 3%|▎ | 2166/70000 [45:21<23:46:37, 1.26s/step] Training: 3%|▎ | 2167/70000 [45:22<23:31:22, 1.25s/step] Training: 3%|▎ | 2168/70000 [45:24<24:00:04, 1.27s/step] Training: 3%|▎ | 2169/70000 [45:25<23:38:06, 1.25s/step] Training: 3%|▎ | 2170/70000 [45:26<24:13:16, 1.29s/step] Training: 3%|▎ | 2171/70000 [45:27<23:40:28, 1.26s/step] Training: 3%|▎ | 2172/70000 [45:29<23:18:25, 1.24s/step] Training: 3%|▎ | 2173/70000 [45:30<23:01:27, 1.22s/step] Training: 3%|▎ | 2174/70000 [45:31<22:58:30, 1.22s/step] Training: 3%|▎ | 2175/70000 [45:32<23:41:50, 1.26s/step] Training: 3%|▎ | 2176/70000 [45:34<24:07:22, 1.28s/step] Training: 3%|▎ | 2177/70000 [45:35<24:26:50, 1.30s/step] Training: 3%|▎ | 2178/70000 [45:36<24:44:21, 1.31s/step] Training: 3%|▎ | 2179/70000 [45:38<23:58:51, 1.27s/step] Training: 3%|▎ | 2180/70000 [45:39<23:31:16, 1.25s/step] Training: 3%|▎ | 2181/70000 [45:40<23:10:40, 1.23s/step] Training: 3%|▎ | 2182/70000 [45:41<23:04:39, 1.23s/step] Training: 3%|▎ | 2183/70000 [45:43<23:47:49, 1.26s/step] Training: 3%|▎ | 2184/70000 [45:44<23:37:39, 1.25s/step] Training: 3%|▎ | 2185/70000 [45:45<24:21:07, 1.29s/step] Training: 3%|▎ | 2186/70000 [45:47<24:43:59, 1.31s/step] Training: 3%|▎ | 2187/70000 [45:48<23:59:59, 1.27s/step] Training: 3%|▎ | 2188/70000 [45:49<23:33:04, 1.25s/step] Training: 3%|▎ | 2189/70000 [45:50<23:11:14, 1.23s/step] Training: 3%|▎ | 2190/70000 [45:51<22:56:46, 1.22s/step] Training: 3%|▎ | 2191/70000 [45:53<23:26:42, 1.24s/step] Training: 3%|▎ | 2192/70000 [45:54<23:49:47, 1.27s/step] Training: 3%|▎ | 2193/70000 [45:55<24:11:16, 1.28s/step] Training: 3%|▎ | 2194/70000 [45:57<24:51:17, 1.32s/step] Training: 3%|▎ | 2195/70000 [45:58<24:02:57, 1.28s/step] Training: 3%|▎ | 2196/70000 [45:59<23:34:18, 1.25s/step] Training: 3%|▎ | 2197/70000 [46:00<23:12:33, 1.23s/step] Training: 3%|▎ | 2198/70000 [46:02<23:47:50, 1.26s/step] Training: 3%|▎ | 2199/70000 [46:03<24:11:55, 1.28s/step] Training: 3%|▎ | 2200/70000 [46:04<24:30:18, 1.30s/step]INFO 2026-03-12 20:55:56 ot_train.py:435 step:2K smpl:141K ep:479 epch:1.86 loss:0.281 grdn:19.721 lr:2.5e-05 updt_s:1.242 data_s:0.019 Training: 3%|▎ | 2201/70000 [46:06<24:40:36, 1.31s/step] Training: 3%|▎ | 2202/70000 [46:07<24:22:02, 1.29s/step] Training: 3%|▎ | 2203/70000 [46:08<23:42:39, 1.26s/step] Training: 3%|▎ | 2204/70000 [46:09<23:17:58, 1.24s/step] Training: 3%|▎ | 2205/70000 [46:10<23:01:52, 1.22s/step] Training: 3%|▎ | 2206/70000 [46:12<22:52:49, 1.21s/step] Training: 3%|▎ | 2207/70000 [46:13<23:37:31, 1.25s/step] Training: 3%|▎ | 2208/70000 [46:14<24:04:09, 1.28s/step] Training: 3%|▎ | 2209/70000 [46:16<24:22:13, 1.29s/step] Training: 3%|▎ | 2210/70000 [46:17<24:51:31, 1.32s/step] Training: 3%|▎ | 2211/70000 [46:18<24:03:42, 1.28s/step] Training: 3%|▎ | 2212/70000 [46:19<23:33:10, 1.25s/step] Training: 3%|▎ | 2213/70000 [46:20<23:12:19, 1.23s/step] Training: 3%|▎ | 2214/70000 [46:22<23:09:59, 1.23s/step] Training: 3%|▎ | 2215/70000 [46:23<23:42:44, 1.26s/step] Training: 3%|▎ | 2216/70000 [46:24<23:35:55, 1.25s/step] Training: 3%|▎ | 2217/70000 [46:26<24:13:10, 1.29s/step] Training: 3%|▎ | 2218/70000 [46:27<24:38:34, 1.31s/step] Training: 3%|▎ | 2219/70000 [46:28<23:53:44, 1.27s/step] Training: 3%|▎ | 2220/70000 [46:29<23:26:23, 1.24s/step] Training: 3%|▎ | 2221/70000 [46:31<23:09:07, 1.23s/step] Training: 3%|▎ | 2222/70000 [46:32<22:56:51, 1.22s/step] Training: 3%|▎ | 2223/70000 [46:33<24:48:31, 1.32s/step] Training: 3%|▎ | 2224/70000 [46:35<24:12:01, 1.29s/step] Training: 3%|▎ | 2225/70000 [46:36<24:28:33, 1.30s/step] Training: 3%|▎ | 2226/70000 [46:37<25:00:27, 1.33s/step] Training: 3%|▎ | 2227/70000 [46:38<24:12:07, 1.29s/step] Training: 3%|▎ | 2228/70000 [46:40<23:38:08, 1.26s/step] Training: 3%|▎ | 2229/70000 [46:41<23:18:48, 1.24s/step] Training: 3%|▎ | 2230/70000 [46:42<23:48:14, 1.26s/step] Training: 3%|▎ | 2231/70000 [46:43<24:08:02, 1.28s/step] Training: 3%|▎ | 2232/70000 [46:45<24:21:55, 1.29s/step] Training: 3%|▎ | 2233/70000 [46:46<24:33:38, 1.30s/step] Training: 3%|▎ | 2234/70000 [46:47<24:12:18, 1.29s/step] Training: 3%|▎ | 2235/70000 [46:49<23:36:38, 1.25s/step] Training: 3%|▎ | 2236/70000 [46:50<23:15:33, 1.24s/step] Training: 3%|▎ | 2237/70000 [46:51<22:59:05, 1.22s/step] Training: 3%|▎ | 2238/70000 [46:52<23:01:34, 1.22s/step] Training: 3%|▎ | 2239/70000 [46:54<23:45:41, 1.26s/step] Training: 3%|▎ | 2240/70000 [46:55<24:08:47, 1.28s/step] Training: 3%|▎ | 2241/70000 [46:56<24:26:32, 1.30s/step] Training: 3%|▎ | 2242/70000 [46:58<24:46:38, 1.32s/step] Training: 3%|▎ | 2243/70000 [46:59<23:59:39, 1.27s/step] Training: 3%|▎ | 2244/70000 [47:00<23:30:29, 1.25s/step] Training: 3%|▎ | 2245/70000 [47:01<23:10:24, 1.23s/step] Training: 3%|▎ | 2246/70000 [47:02<23:18:42, 1.24s/step] Training: 3%|▎ | 2247/70000 [47:04<23:52:30, 1.27s/step] Training: 3%|▎ | 2248/70000 [47:05<23:42:31, 1.26s/step] Training: 3%|▎ | 2249/70000 [47:06<24:23:51, 1.30s/step] Training: 3%|▎ | 2250/70000 [47:08<24:45:19, 1.32s/step] Training: 3%|▎ | 2251/70000 [47:09<23:58:19, 1.27s/step] Training: 3%|▎ | 2252/70000 [47:10<23:30:00, 1.25s/step] Training: 3%|▎ | 2253/70000 [47:11<23:11:27, 1.23s/step] Training: 3%|▎ | 2254/70000 [47:12<22:58:04, 1.22s/step] Training: 3%|▎ | 2255/70000 [47:14<23:31:15, 1.25s/step] Training: 3%|▎ | 2256/70000 [47:15<23:54:21, 1.27s/step] Training: 3%|▎ | 2257/70000 [47:16<24:12:54, 1.29s/step] Training: 3%|▎ | 2258/70000 [47:18<24:49:22, 1.32s/step] Training: 3%|▎ | 2259/70000 [47:19<24:03:32, 1.28s/step] Training: 3%|▎ | 2260/70000 [47:20<23:34:04, 1.25s/step] Training: 3%|▎ | 2261/70000 [47:21<23:13:35, 1.23s/step] Training: 3%|▎ | 2262/70000 [47:23<23:51:31, 1.27s/step] Training: 3%|▎ | 2263/70000 [47:24<24:10:57, 1.29s/step] Training: 3%|▎ | 2264/70000 [47:25<24:24:06, 1.30s/step] Training: 3%|▎ | 2265/70000 [47:27<24:36:47, 1.31s/step] Training: 3%|▎ | 2266/70000 [47:28<24:09:40, 1.28s/step] Training: 3%|▎ | 2267/70000 [47:29<23:35:32, 1.25s/step] Training: 3%|▎ | 2268/70000 [47:30<23:12:39, 1.23s/step] Training: 3%|▎ | 2269/70000 [47:31<22:57:19, 1.22s/step] Training: 3%|▎ | 2270/70000 [47:33<22:59:13, 1.22s/step] Training: 3%|▎ | 2271/70000 [47:34<23:43:52, 1.26s/step] Training: 3%|▎ | 2272/70000 [47:35<24:12:16, 1.29s/step] Training: 3%|▎ | 2273/70000 [47:37<24:24:34, 1.30s/step] Training: 3%|▎ | 2274/70000 [47:38<24:44:16, 1.31s/step] Training: 3%|▎ | 2275/70000 [47:39<23:58:58, 1.27s/step] Training: 3%|▎ | 2276/70000 [47:40<23:29:39, 1.25s/step] Training: 3%|▎ | 2277/70000 [47:42<23:08:33, 1.23s/step] Training: 3%|▎ | 2278/70000 [47:43<23:13:44, 1.23s/step] Training: 3%|▎ | 2279/70000 [47:44<23:49:41, 1.27s/step] Training: 3%|▎ | 2280/70000 [47:45<23:37:32, 1.26s/step] Training: 3%|▎ | 2281/70000 [47:47<24:14:01, 1.29s/step] Training: 3%|▎ | 2282/70000 [47:48<24:37:03, 1.31s/step] Training: 3%|▎ | 2283/70000 [47:49<23:53:52, 1.27s/step] Training: 3%|▎ | 2284/70000 [47:51<23:26:35, 1.25s/step] Training: 3%|▎ | 2285/70000 [47:52<23:07:35, 1.23s/step] Training: 3%|▎ | 2286/70000 [47:53<22:53:53, 1.22s/step] Training: 3%|▎ | 2287/70000 [47:54<23:27:25, 1.25s/step] Training: 3%|▎ | 2288/70000 [47:56<23:53:04, 1.27s/step] Training: 3%|▎ | 2289/70000 [47:57<24:13:26, 1.29s/step] Training: 3%|▎ | 2290/70000 [47:58<24:52:25, 1.32s/step] Training: 3%|▎ | 2291/70000 [47:59<24:03:27, 1.28s/step] Training: 3%|▎ | 2292/70000 [48:01<23:32:41, 1.25s/step] Training: 3%|▎ | 2293/70000 [48:02<23:11:03, 1.23s/step] Training: 3%|▎ | 2294/70000 [48:03<23:45:48, 1.26s/step] Training: 3%|▎ | 2295/70000 [48:04<24:04:13, 1.28s/step] Training: 3%|▎ | 2296/70000 [48:06<24:22:10, 1.30s/step] Training: 3%|▎ | 2297/70000 [48:07<24:34:43, 1.31s/step] Training: 3%|▎ | 2298/70000 [48:08<24:11:20, 1.29s/step] Training: 3%|▎ | 2299/70000 [48:10<23:37:47, 1.26s/step] Training: 3%|▎ | 2300/70000 [48:11<23:13:42, 1.24s/step]INFO 2026-03-12 20:58:03 ot_train.py:435 step:2K smpl:147K ep:501 epch:1.95 loss:0.303 grdn:18.948 lr:2.5e-05 updt_s:1.245 data_s:0.019 Training: 3%|▎ | 2301/70000 [48:12<22:59:14, 1.22s/step] Training: 3%|▎ | 2302/70000 [48:13<22:55:56, 1.22s/step] Training: 3%|▎ | 2303/70000 [48:15<23:42:18, 1.26s/step] Training: 3%|▎ | 2304/70000 [48:16<24:05:09, 1.28s/step] Training: 3%|▎ | 2305/70000 [48:17<24:20:14, 1.29s/step] Training: 3%|▎ | 2306/70000 [48:19<24:40:21, 1.31s/step] Training: 3%|▎ | 2307/70000 [48:20<23:55:23, 1.27s/step] Training: 3%|▎ | 2308/70000 [48:21<23:27:58, 1.25s/step] Training: 3%|▎ | 2309/70000 [48:22<23:08:34, 1.23s/step] Training: 3%|▎ | 2310/70000 [48:23<23:13:38, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=11176 Training: 3%|▎ | 2311/70000 [48:25<23:44:07, 1.26s/step] Training: 3%|▎ | 2312/70000 [48:26<23:33:47, 1.25s/step] Training: 3%|▎ | 2313/70000 [48:27<24:12:03, 1.29s/step] Training: 3%|▎ | 2314/70000 [48:29<24:51:45, 1.32s/step] Training: 3%|▎ | 2315/70000 [48:30<24:02:29, 1.28s/step] Training: 3%|▎ | 2316/70000 [48:31<23:31:52, 1.25s/step] Training: 3%|▎ | 2317/70000 [48:32<23:10:56, 1.23s/step] Training: 3%|▎ | 2318/70000 [48:33<22:57:26, 1.22s/step] Training: 3%|▎ | 2319/70000 [48:35<23:34:23, 1.25s/step] Training: 3%|▎ | 2320/70000 [48:36<23:46:11, 1.26s/step] Training: 3%|▎ | 2321/70000 [48:37<24:11:51, 1.29s/step] Training: 3%|▎ | 2322/70000 [48:39<24:50:43, 1.32s/step] Training: 3%|▎ | 2323/70000 [48:40<24:02:09, 1.28s/step] Training: 3%|▎ | 2324/70000 [48:41<23:30:53, 1.25s/step] Training: 3%|▎ | 2325/70000 [48:42<23:11:12, 1.23s/step] Training: 3%|▎ | 2326/70000 [48:44<23:41:07, 1.26s/step] Training: 3%|▎ | 2327/70000 [48:45<23:24:40, 1.25s/step] Training: 3%|▎ | 2328/70000 [48:46<23:56:22, 1.27s/step] Training: 3%|▎ | 2329/70000 [48:48<24:19:59, 1.29s/step] Training: 3%|▎ | 2330/70000 [48:49<24:01:27, 1.28s/step] Training: 3%|▎ | 2331/70000 [48:50<23:28:44, 1.25s/step] Training: 3%|▎ | 2332/70000 [48:51<23:09:10, 1.23s/step] Training: 3%|▎ | 2333/70000 [48:52<22:55:24, 1.22s/step] Training: 3%|▎ | 2334/70000 [48:54<22:49:05, 1.21s/step] Training: 3%|▎ | 2335/70000 [48:55<23:33:46, 1.25s/step] Training: 3%|▎ | 2336/70000 [48:56<23:59:37, 1.28s/step] Training: 3%|▎ | 2337/70000 [48:58<24:22:16, 1.30s/step] Training: 3%|▎ | 2338/70000 [48:59<24:44:15, 1.32s/step] Training: 3%|▎ | 2339/70000 [49:00<23:57:47, 1.27s/step] Training: 3%|▎ | 2340/70000 [49:01<23:28:02, 1.25s/step] Training: 3%|▎ | 2341/70000 [49:02<23:07:23, 1.23s/step] Training: 3%|▎ | 2342/70000 [49:04<23:06:56, 1.23s/step] Training: 3%|▎ | 2343/70000 [49:05<23:40:44, 1.26s/step] Training: 3%|▎ | 2344/70000 [49:06<23:29:17, 1.25s/step] Training: 3%|▎ | 2345/70000 [49:08<24:19:19, 1.29s/step] Training: 3%|▎ | 2346/70000 [49:09<24:42:48, 1.32s/step] Training: 3%|▎ | 2347/70000 [49:10<23:58:15, 1.28s/step] Training: 3%|▎ | 2348/70000 [49:11<23:28:27, 1.25s/step] Training: 3%|▎ | 2349/70000 [49:13<23:08:31, 1.23s/step] Training: 3%|▎ | 2350/70000 [49:14<22:54:26, 1.22s/step] Training: 3%|▎ | 2351/70000 [49:15<23:25:42, 1.25s/step] Training: 3%|▎ | 2352/70000 [49:16<23:54:34, 1.27s/step] Training: 3%|▎ | 2353/70000 [49:18<24:22:48, 1.30s/step] Training: 3%|▎ | 2354/70000 [49:19<25:07:53, 1.34s/step] Training: 3%|▎ | 2355/70000 [49:20<24:13:27, 1.29s/step] Training: 3%|▎ | 2356/70000 [49:22<23:38:00, 1.26s/step] Training: 3%|▎ | 2357/70000 [49:23<23:13:07, 1.24s/step] Training: 3%|▎ | 2358/70000 [49:24<23:46:19, 1.27s/step] Training: 3%|▎ | 2359/70000 [49:25<24:09:11, 1.29s/step] Training: 3%|▎ | 2360/70000 [49:28<30:35:22, 1.63s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 3%|▎ | 2361/70000 [49:32<43:44:47, 2.33s/step] Training: 3%|▎ | 2362/70000 [49:33<37:57:33, 2.02s/step] Training: 3%|▎ | 2363/70000 [49:34<33:17:10, 1.77s/step] Training: 3%|▎ | 2364/70000 [49:35<29:59:08, 1.60s/step] Training: 3%|▎ | 2365/70000 [49:37<27:42:30, 1.47s/step] Training: 3%|▎ | 2366/70000 [49:38<26:30:33, 1.41s/step] Training: 3%|▎ | 2367/70000 [49:39<26:57:27, 1.43s/step] Training: 3%|▎ | 2368/70000 [49:41<26:52:10, 1.43s/step] Training: 3%|▎ | 2369/70000 [49:42<26:22:03, 1.40s/step] Training: 3%|▎ | 2370/70000 [49:44<26:06:07, 1.39s/step] Training: 3%|▎ | 2371/70000 [49:45<25:44:50, 1.37s/step] Training: 3%|▎ | 2372/70000 [49:46<24:43:42, 1.32s/step] Training: 3%|▎ | 2373/70000 [49:47<24:01:55, 1.28s/step] Training: 3%|▎ | 2374/70000 [49:48<23:47:10, 1.27s/step] Training: 3%|▎ | 2375/70000 [49:50<25:13:15, 1.34s/step] Training: 3%|▎ | 2376/70000 [49:51<25:15:24, 1.34s/step] Training: 3%|▎ | 2377/70000 [49:53<25:23:14, 1.35s/step] Training: 3%|▎ | 2378/70000 [49:54<25:34:47, 1.36s/step] Training: 3%|▎ | 2379/70000 [49:55<24:52:29, 1.32s/step] Training: 3%|▎ | 2380/70000 [49:57<24:08:14, 1.29s/step] Training: 3%|▎ | 2381/70000 [49:58<23:36:06, 1.26s/step] Training: 3%|▎ | 2382/70000 [49:59<23:14:29, 1.24s/step] Training: 3%|▎ | 2383/70000 [50:00<23:41:10, 1.26s/step] Training: 3%|▎ | 2384/70000 [50:02<24:02:58, 1.28s/step] Training: 3%|▎ | 2385/70000 [50:03<24:14:48, 1.29s/step] Training: 3%|▎ | 2386/70000 [50:04<24:38:10, 1.31s/step] Training: 3%|▎ | 2387/70000 [50:05<24:02:13, 1.28s/step] Training: 3%|▎ | 2388/70000 [50:07<23:32:20, 1.25s/step] Training: 3%|▎ | 2389/70000 [50:08<23:13:57, 1.24s/step] Training: 3%|▎ | 2390/70000 [50:09<22:58:53, 1.22s/step] Training: 3%|▎ | 2391/70000 [50:10<24:01:29, 1.28s/step] Training: 3%|▎ | 2392/70000 [50:12<24:16:30, 1.29s/step] Training: 3%|▎ | 2393/70000 [50:13<24:29:26, 1.30s/step] Training: 3%|▎ | 2394/70000 [50:14<24:16:12, 1.29s/step] Training: 3%|▎ | 2395/70000 [50:16<24:24:42, 1.30s/step] Training: 3%|▎ | 2396/70000 [50:17<23:51:05, 1.27s/step] Training: 3%|▎ | 2397/70000 [50:18<23:24:31, 1.25s/step] Training: 3%|▎ | 2398/70000 [50:19<23:05:42, 1.23s/step] Training: 3%|▎ | 2399/70000 [50:21<24:18:23, 1.29s/step] Training: 3%|▎ | 2400/70000 [50:22<24:31:26, 1.31s/step]INFO 2026-03-12 21:00:14 ot_train.py:435 step:2K smpl:154K ep:523 epch:2.03 loss:0.280 grdn:19.623 lr:2.5e-05 updt_s:1.256 data_s:0.055 Training: 3%|▎ | 2401/70000 [50:23<24:40:42, 1.31s/step] Training: 3%|▎ | 2402/70000 [50:25<25:02:03, 1.33s/step] Training: 3%|▎ | 2403/70000 [50:26<24:58:24, 1.33s/step] Training: 3%|▎ | 2404/70000 [50:27<24:12:13, 1.29s/step] Training: 3%|▎ | 2405/70000 [50:28<23:39:57, 1.26s/step] Training: 3%|▎ | 2406/70000 [50:30<23:17:11, 1.24s/step] Training: 3%|▎ | 2407/70000 [50:31<23:53:57, 1.27s/step] Training: 3%|▎ | 2408/70000 [50:32<24:12:54, 1.29s/step] Training: 3%|▎ | 2409/70000 [50:34<24:42:18, 1.32s/step] Training: 3%|▎ | 2410/70000 [50:35<25:01:04, 1.33s/step] Training: 3%|▎ | 2411/70000 [50:36<25:03:13, 1.33s/step] Training: 3%|▎ | 2412/70000 [50:38<24:14:27, 1.29s/step] Training: 3%|▎ | 2413/70000 [50:39<23:39:15, 1.26s/step] Training: 3%|▎ | 2414/70000 [50:40<23:14:32, 1.24s/step] Training: 3%|▎ | 2415/70000 [50:41<23:18:53, 1.24s/step] Training: 3%|▎ | 2416/70000 [50:42<23:11:00, 1.23s/step] Training: 3%|▎ | 2417/70000 [50:44<23:42:27, 1.26s/step] Training: 3%|▎ | 2418/70000 [50:45<24:18:17, 1.29s/step] Training: 3%|▎ | 2419/70000 [50:46<23:50:01, 1.27s/step] Training: 3%|▎ | 2420/70000 [50:48<23:25:21, 1.25s/step] Training: 3%|▎ | 2421/70000 [50:49<23:04:41, 1.23s/step] Training: 3%|▎ | 2422/70000 [50:50<22:50:46, 1.22s/step] Training: 3%|▎ | 2423/70000 [50:51<23:41:08, 1.26s/step] Training: 3%|▎ | 2424/70000 [50:53<24:03:33, 1.28s/step] Training: 3%|▎ | 2425/70000 [50:54<24:19:08, 1.30s/step] Training: 3%|▎ | 2426/70000 [50:55<24:03:37, 1.28s/step] Training: 3%|▎ | 2427/70000 [50:57<24:15:35, 1.29s/step] Training: 3%|▎ | 2428/70000 [50:58<23:45:33, 1.27s/step] Training: 3%|▎ | 2429/70000 [50:59<23:20:36, 1.24s/step] Training: 3%|▎ | 2430/70000 [51:00<23:00:45, 1.23s/step] Training: 3%|▎ | 2431/70000 [51:01<23:40:56, 1.26s/step] Training: 3%|▎ | 2432/70000 [51:03<24:03:08, 1.28s/step] Training: 3%|▎ | 2433/70000 [51:04<24:22:17, 1.30s/step] Training: 3%|▎ | 2434/70000 [51:05<24:46:29, 1.32s/step] Training: 3%|▎ | 2435/70000 [51:07<24:45:01, 1.32s/step] Training: 3%|▎ | 2436/70000 [51:08<24:01:34, 1.28s/step] Training: 3%|▎ | 2437/70000 [51:09<23:31:58, 1.25s/step] Training: 3%|▎ | 2438/70000 [51:10<23:10:02, 1.23s/step] Training: 3%|▎ | 2439/70000 [51:12<23:42:29, 1.26s/step] Training: 3%|▎ | 2440/70000 [51:13<24:05:26, 1.28s/step] Training: 3%|▎ | 2441/70000 [51:14<24:30:56, 1.31s/step] Training: 3%|▎ | 2442/70000 [51:16<24:50:01, 1.32s/step] Training: 3%|▎ | 2443/70000 [51:17<24:46:55, 1.32s/step] Training: 3%|▎ | 2444/70000 [51:18<24:02:35, 1.28s/step] Training: 3%|▎ | 2445/70000 [51:19<23:31:34, 1.25s/step] Training: 3%|▎ | 2446/70000 [51:21<23:07:58, 1.23s/step] Training: 3%|▎ | 2447/70000 [51:22<23:42:26, 1.26s/step] Training: 3%|▎ | 2448/70000 [51:23<23:54:55, 1.27s/step] Training: 3%|▎ | 2449/70000 [51:25<24:12:05, 1.29s/step] Training: 4%|▎ | 2450/70000 [51:26<24:36:11, 1.31s/step] Training: 4%|▎ | 2451/70000 [51:27<23:59:16, 1.28s/step] Training: 4%|▎ | 2452/70000 [51:28<23:28:53, 1.25s/step] Training: 4%|▎ | 2453/70000 [51:30<23:07:59, 1.23s/step] Training: 4%|▎ | 2454/70000 [51:31<22:52:36, 1.22s/step] Training: 4%|▎ | 2455/70000 [51:32<23:38:12, 1.26s/step] Training: 4%|▎ | 2456/70000 [51:33<24:02:22, 1.28s/step] Training: 4%|▎ | 2457/70000 [51:35<24:17:51, 1.30s/step] Training: 4%|▎ | 2458/70000 [51:36<24:04:59, 1.28s/step] Training: 4%|▎ | 2459/70000 [51:37<24:17:00, 1.29s/step] Training: 4%|▎ | 2460/70000 [51:39<23:41:38, 1.26s/step] Training: 4%|▎ | 2461/70000 [51:40<23:15:31, 1.24s/step] Training: 4%|▎ | 2462/70000 [51:41<22:58:20, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=26175 Training: 4%|▎ | 2463/70000 [51:42<23:33:37, 1.26s/step] Training: 4%|▎ | 2464/70000 [51:44<23:59:41, 1.28s/step] Training: 4%|▎ | 2465/70000 [51:45<24:17:24, 1.29s/step] Training: 4%|▎ | 2466/70000 [51:46<24:39:21, 1.31s/step] Training: 4%|▎ | 2467/70000 [51:48<24:41:12, 1.32s/step] Training: 4%|▎ | 2468/70000 [51:49<23:57:13, 1.28s/step] Training: 4%|▎ | 2469/70000 [51:50<23:28:22, 1.25s/step] Training: 4%|▎ | 2470/70000 [51:51<23:08:06, 1.23s/step] Training: 4%|▎ | 2471/70000 [51:52<23:43:58, 1.27s/step] Training: 4%|▎ | 2472/70000 [51:54<23:31:24, 1.25s/step] Training: 4%|▎ | 2473/70000 [51:55<24:32:30, 1.31s/step] Training: 4%|▎ | 2474/70000 [51:56<24:51:23, 1.33s/step] Training: 4%|▎ | 2475/70000 [51:58<24:50:08, 1.32s/step] Training: 4%|▎ | 2476/70000 [51:59<24:03:02, 1.28s/step] Training: 4%|▎ | 2477/70000 [52:00<23:30:36, 1.25s/step] Training: 4%|▎ | 2478/70000 [52:01<23:09:02, 1.23s/step] Training: 4%|▎ | 2479/70000 [52:03<23:40:20, 1.26s/step] Training: 4%|▎ | 2480/70000 [52:04<23:30:19, 1.25s/step] Training: 4%|▎ | 2481/70000 [52:05<24:23:39, 1.30s/step] Training: 4%|▎ | 2482/70000 [52:07<24:46:12, 1.32s/step] Training: 4%|▎ | 2483/70000 [52:08<24:05:37, 1.28s/step] Training: 4%|▎ | 2484/70000 [52:09<23:32:04, 1.25s/step] Training: 4%|▎ | 2485/70000 [52:10<23:08:29, 1.23s/step] Training: 4%|▎ | 2486/70000 [52:11<22:52:19, 1.22s/step] Training: 4%|▎ | 2487/70000 [52:13<23:44:53, 1.27s/step] Training: 4%|▎ | 2488/70000 [52:14<24:08:32, 1.29s/step] Training: 4%|▎ | 2489/70000 [52:16<24:24:29, 1.30s/step] Training: 4%|▎ | 2490/70000 [52:17<24:04:15, 1.28s/step] Training: 4%|▎ | 2491/70000 [52:18<24:15:31, 1.29s/step] Training: 4%|▎ | 2492/70000 [52:19<23:40:44, 1.26s/step] Training: 4%|▎ | 2493/70000 [52:20<23:14:50, 1.24s/step] Training: 4%|▎ | 2494/70000 [52:22<22:57:55, 1.22s/step] Training: 4%|▎ | 2495/70000 [52:23<23:31:41, 1.25s/step] Training: 4%|▎ | 2496/70000 [52:24<23:55:05, 1.28s/step] Training: 4%|▎ | 2497/70000 [52:26<24:12:23, 1.29s/step] Training: 4%|▎ | 2498/70000 [52:27<24:34:20, 1.31s/step] Training: 4%|▎ | 2499/70000 [52:28<24:38:30, 1.31s/step] Training: 4%|▎ | 2500/70000 [52:29<23:58:16, 1.28s/step]INFO 2026-03-12 21:02:22 ot_train.py:435 step:2K smpl:160K ep:545 epch:2.12 loss:0.266 grdn:17.452 lr:2.5e-05 updt_s:1.253 data_s:0.019 Training: 4%|▎ | 2501/70000 [52:31<23:28:33, 1.25s/step] Training: 4%|▎ | 2502/70000 [52:32<23:08:14, 1.23s/step] Training: 4%|▎ | 2503/70000 [52:33<23:40:22, 1.26s/step] Training: 4%|▎ | 2504/70000 [52:35<24:17:29, 1.30s/step] Training: 4%|▎ | 2505/70000 [52:36<24:42:23, 1.32s/step] Training: 4%|▎ | 2506/70000 [52:37<24:57:26, 1.33s/step] Training: 4%|▎ | 2507/70000 [52:39<24:21:27, 1.30s/step] Training: 4%|▎ | 2508/70000 [52:40<23:43:11, 1.27s/step] Training: 4%|▎ | 2509/70000 [52:41<23:17:08, 1.24s/step] Training: 4%|▎ | 2510/70000 [52:42<23:00:00, 1.23s/step] Training: 4%|▎ | 2511/70000 [52:43<23:33:48, 1.26s/step] Training: 4%|▎ | 2512/70000 [52:45<23:57:50, 1.28s/step] Training: 4%|▎ | 2513/70000 [52:46<24:13:44, 1.29s/step] Training: 4%|▎ | 2514/70000 [52:47<24:36:18, 1.31s/step] Training: 4%|▎ | 2515/70000 [52:49<23:58:05, 1.28s/step] Training: 4%|▎ | 2516/70000 [52:50<23:27:23, 1.25s/step] Training: 4%|▎ | 2517/70000 [52:51<23:06:39, 1.23s/step] Training: 4%|▎ | 2518/70000 [52:52<22:52:28, 1.22s/step] Training: 4%|▎ | 2519/70000 [52:54<23:39:55, 1.26s/step] Training: 4%|▎ | 2520/70000 [52:55<24:04:08, 1.28s/step] Training: 4%|▎ | 2521/70000 [52:56<24:19:30, 1.30s/step] Training: 4%|▎ | 2522/70000 [52:57<23:59:08, 1.28s/step] Training: 4%|▎ | 2523/70000 [52:59<24:11:58, 1.29s/step] Training: 4%|▎ | 2524/70000 [53:00<23:39:14, 1.26s/step] Training: 4%|▎ | 2525/70000 [53:01<23:15:47, 1.24s/step] Training: 4%|▎ | 2526/70000 [53:02<22:56:02, 1.22s/step] Training: 4%|▎ | 2527/70000 [53:04<23:30:04, 1.25s/step] Training: 4%|▎ | 2528/70000 [53:05<23:54:08, 1.28s/step] Training: 4%|▎ | 2529/70000 [53:06<24:13:59, 1.29s/step] Training: 4%|▎ | 2530/70000 [53:08<24:40:14, 1.32s/step] Training: 4%|▎ | 2531/70000 [53:09<24:42:57, 1.32s/step] Training: 4%|▎ | 2532/70000 [53:10<24:00:50, 1.28s/step] Training: 4%|▎ | 2533/70000 [53:11<23:30:51, 1.25s/step] Training: 4%|▎ | 2534/70000 [53:13<23:08:29, 1.23s/step] Training: 4%|▎ | 2535/70000 [53:14<23:42:53, 1.27s/step] Training: 4%|▎ | 2536/70000 [53:15<24:22:25, 1.30s/step] Training: 4%|▎ | 2537/70000 [53:17<24:42:54, 1.32s/step] Training: 4%|▎ | 2538/70000 [53:18<24:59:26, 1.33s/step] Training: 4%|▎ | 2539/70000 [53:19<24:23:57, 1.30s/step] Training: 4%|▎ | 2540/70000 [53:20<23:47:02, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=43699 Training: 4%|▎ | 2541/70000 [53:22<23:20:11, 1.25s/step] Training: 4%|▎ | 2542/70000 [53:23<23:00:14, 1.23s/step] Training: 4%|▎ | 2543/70000 [53:24<23:33:28, 1.26s/step] Training: 4%|▎ | 2544/70000 [53:25<23:38:53, 1.26s/step] Training: 4%|▎ | 2545/70000 [53:27<24:00:19, 1.28s/step] Training: 4%|▎ | 2546/70000 [53:28<23:43:51, 1.27s/step] Training: 4%|▎ | 2547/70000 [53:29<23:25:43, 1.25s/step] Training: 4%|▎ | 2548/70000 [53:30<23:04:46, 1.23s/step] Training: 4%|▎ | 2549/70000 [53:32<22:49:51, 1.22s/step] Training: 4%|▎ | 2550/70000 [53:33<22:40:36, 1.21s/step] Training: 4%|▎ | 2551/70000 [53:34<23:33:06, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=57386 Training: 4%|▎ | 2552/70000 [53:35<24:00:00, 1.28s/step] Training: 4%|▎ | 2553/70000 [53:37<24:17:56, 1.30s/step] Training: 4%|▎ | 2554/70000 [53:38<24:06:30, 1.29s/step] Training: 4%|▎ | 2555/70000 [53:39<24:17:13, 1.30s/step] Training: 4%|▎ | 2556/70000 [53:41<23:41:04, 1.26s/step] Training: 4%|▎ | 2557/70000 [53:42<23:17:20, 1.24s/step] Training: 4%|▎ | 2558/70000 [53:43<22:59:47, 1.23s/step] Training: 4%|▎ | 2559/70000 [53:44<23:36:59, 1.26s/step] Training: 4%|▎ | 2560/70000 [53:46<24:01:54, 1.28s/step] Training: 4%|▎ | 2561/70000 [53:47<24:18:26, 1.30s/step] Training: 4%|▎ | 2562/70000 [53:48<23:41:22, 1.26s/step] Training: 4%|▎ | 2563/70000 [53:50<24:33:18, 1.31s/step] Training: 4%|▎ | 2564/70000 [53:51<23:52:46, 1.27s/step] Training: 4%|▎ | 2565/70000 [53:52<23:23:47, 1.25s/step] Training: 4%|▎ | 2566/70000 [53:53<23:01:44, 1.23s/step] Training: 4%|▎ | 2567/70000 [53:54<23:37:47, 1.26s/step] Training: 4%|▎ | 2568/70000 [53:56<24:19:07, 1.30s/step] Training: 4%|▎ | 2569/70000 [53:57<24:42:41, 1.32s/step] Training: 4%|▎ | 2570/70000 [53:58<23:59:25, 1.28s/step] Training: 4%|▎ | 2571/70000 [54:00<23:55:12, 1.28s/step] Training: 4%|▎ | 2572/70000 [54:01<23:24:49, 1.25s/step] Training: 4%|▎ | 2573/70000 [54:02<23:03:43, 1.23s/step] Training: 4%|▎ | 2574/70000 [54:03<22:50:23, 1.22s/step] Training: 4%|▎ | 2575/70000 [54:05<23:24:42, 1.25s/step] Training: 4%|▎ | 2576/70000 [54:06<23:22:15, 1.25s/step] Training: 4%|▎ | 2577/70000 [54:07<23:49:49, 1.27s/step] Training: 4%|▎ | 2578/70000 [54:08<23:22:23, 1.25s/step] Training: 4%|▎ | 2579/70000 [54:10<23:21:06, 1.25s/step] Training: 4%|▎ | 2580/70000 [54:11<22:58:10, 1.23s/step] Training: 4%|▎ | 2581/70000 [54:12<22:45:41, 1.22s/step] Training: 4%|▎ | 2582/70000 [54:13<22:36:46, 1.21s/step] Training: 4%|▎ | 2583/70000 [54:15<23:37:08, 1.26s/step] Training: 4%|▎ | 2584/70000 [54:16<23:58:07, 1.28s/step] Training: 4%|▎ | 2585/70000 [54:17<24:13:59, 1.29s/step] Training: 4%|▎ | 2586/70000 [54:18<23:39:00, 1.26s/step] Training: 4%|▎ | 2587/70000 [54:20<24:11:10, 1.29s/step] Training: 4%|▎ | 2588/70000 [54:21<23:32:37, 1.26s/step] Training: 4%|▎ | 2589/70000 [54:22<23:10:37, 1.24s/step] Training: 4%|▎ | 2590/70000 [54:23<22:52:59, 1.22s/step] Training: 4%|▎ | 2591/70000 [54:25<23:26:20, 1.25s/step] Training: 4%|▎ | 2592/70000 [54:26<23:53:24, 1.28s/step] Training: 4%|▎ | 2593/70000 [54:27<24:10:15, 1.29s/step] Training: 4%|▎ | 2594/70000 [54:28<23:36:21, 1.26s/step] Training: 4%|▎ | 2595/70000 [54:30<24:11:19, 1.29s/step] Training: 4%|▎ | 2596/70000 [54:31<23:33:20, 1.26s/step] Training: 4%|▎ | 2597/70000 [54:32<23:11:36, 1.24s/step] Training: 4%|▎ | 2598/70000 [54:33<22:52:29, 1.22s/step] Training: 4%|▎ | 2599/70000 [54:35<23:32:33, 1.26s/step] Training: 4%|▎ | 2600/70000 [54:36<24:14:50, 1.30s/step]INFO 2026-03-12 21:04:28 ot_train.py:435 step:3K smpl:166K ep:566 epch:2.20 loss:0.277 grdn:18.065 lr:2.5e-05 updt_s:1.245 data_s:0.019 Training: 4%|▎ | 2601/70000 [54:37<24:35:45, 1.31s/step] Training: 4%|▎ | 2602/70000 [54:39<23:52:20, 1.28s/step] Training: 4%|▎ | 2603/70000 [54:40<24:35:56, 1.31s/step] Training: 4%|▎ | 2604/70000 [54:41<23:51:40, 1.27s/step] Training: 4%|▎ | 2605/70000 [54:42<23:23:28, 1.25s/step] Training: 4%|▎ | 2606/70000 [54:44<23:03:11, 1.23s/step] Training: 4%|▎ | 2607/70000 [54:45<23:35:16, 1.26s/step] Training: 4%|▎ | 2608/70000 [54:46<23:30:09, 1.26s/step] Training: 4%|▎ | 2609/70000 [54:48<23:54:03, 1.28s/step] Training: 4%|▎ | 2610/70000 [54:49<23:24:28, 1.25s/step] Training: 4%|▎ | 2611/70000 [54:50<23:20:24, 1.25s/step] Training: 4%|▎ | 2612/70000 [54:51<22:58:27, 1.23s/step] Training: 4%|▎ | 2613/70000 [54:52<22:47:29, 1.22s/step] Training: 4%|▎ | 2614/70000 [54:54<22:35:32, 1.21s/step] Training: 4%|▎ | 2615/70000 [54:55<22:40:57, 1.21s/step] Training: 4%|▎ | 2616/70000 [54:56<23:18:22, 1.25s/step] Training: 4%|▎ | 2617/70000 [54:57<23:48:08, 1.27s/step] Training: 4%|▎ | 2618/70000 [54:59<23:19:30, 1.25s/step] Training: 4%|▎ | 2619/70000 [55:00<23:57:44, 1.28s/step] Training: 4%|▎ | 2620/70000 [55:01<23:23:49, 1.25s/step] Training: 4%|▎ | 2621/70000 [55:02<23:03:07, 1.23s/step] Training: 4%|▎ | 2622/70000 [55:03<22:50:16, 1.22s/step] Training: 4%|▎ | 2623/70000 [55:05<23:06:16, 1.23s/step] Training: 4%|▎ | 2624/70000 [55:06<23:41:13, 1.27s/step] Training: 4%|▍ | 2625/70000 [55:07<24:04:05, 1.29s/step] Training: 4%|▍ | 2626/70000 [55:09<23:33:52, 1.26s/step] Training: 4%|▍ | 2627/70000 [55:10<24:08:24, 1.29s/step] Training: 4%|▍ | 2628/70000 [55:11<23:31:31, 1.26s/step] Training: 4%|▍ | 2629/70000 [55:12<23:08:03, 1.24s/step] Training: 4%|▍ | 2630/70000 [55:14<22:52:30, 1.22s/step] Training: 4%|▍ | 2631/70000 [55:15<22:45:29, 1.22s/step] Training: 4%|▍ | 2632/70000 [55:16<24:04:23, 1.29s/step] Training: 4%|▍ | 2633/70000 [55:18<24:33:19, 1.31s/step] Training: 4%|▍ | 2634/70000 [55:19<23:52:26, 1.28s/step] Training: 4%|▍ | 2635/70000 [55:20<24:35:08, 1.31s/step] Training: 4%|▍ | 2636/70000 [55:21<23:50:06, 1.27s/step] Training: 4%|▍ | 2637/70000 [55:23<23:20:57, 1.25s/step] Training: 4%|▍ | 2638/70000 [55:24<23:01:33, 1.23s/step] Training: 4%|▍ | 2639/70000 [55:25<23:37:25, 1.26s/step] Training: 4%|▍ | 2640/70000 [55:26<23:32:04, 1.26s/step] Training: 4%|▍ | 2641/70000 [55:28<23:56:45, 1.28s/step] Training: 4%|▍ | 2642/70000 [55:29<23:26:27, 1.25s/step] Training: 4%|▍ | 2643/70000 [55:30<23:21:27, 1.25s/step] Training: 4%|▍ | 2644/70000 [55:31<22:58:07, 1.23s/step] Training: 4%|▍ | 2645/70000 [55:32<22:45:21, 1.22s/step] Training: 4%|▍ | 2646/70000 [55:34<22:35:20, 1.21s/step] Training: 4%|▍ | 2647/70000 [55:35<23:25:21, 1.25s/step] Training: 4%|▍ | 2648/70000 [55:36<23:49:51, 1.27s/step] Training: 4%|▍ | 2649/70000 [55:38<24:08:52, 1.29s/step] Training: 4%|▍ | 2650/70000 [55:39<23:33:43, 1.26s/step] Training: 4%|▍ | 2651/70000 [55:40<24:07:43, 1.29s/step] Training: 4%|▍ | 2652/70000 [55:41<23:30:54, 1.26s/step] Training: 4%|▍ | 2653/70000 [55:43<23:07:53, 1.24s/step] Training: 4%|▍ | 2654/70000 [55:44<22:52:50, 1.22s/step] Training: 4%|▍ | 2655/70000 [55:45<22:58:27, 1.23s/step] Training: 4%|▍ | 2656/70000 [55:46<23:32:58, 1.26s/step] Training: 4%|▍ | 2657/70000 [55:48<24:00:48, 1.28s/step] Training: 4%|▍ | 2658/70000 [55:49<23:30:23, 1.26s/step] Training: 4%|▍ | 2659/70000 [55:50<24:03:49, 1.29s/step] Training: 4%|▍ | 2660/70000 [55:51<23:28:50, 1.26s/step] Training: 4%|▍ | 2661/70000 [55:53<23:06:42, 1.24s/step] Training: 4%|▍ | 2662/70000 [55:54<22:51:13, 1.22s/step] Training: 4%|▍ | 2663/70000 [55:55<23:26:36, 1.25s/step] Training: 4%|▍ | 2664/70000 [55:56<24:10:41, 1.29s/step] Training: 4%|▍ | 2665/70000 [55:58<24:42:43, 1.32s/step] Training: 4%|▍ | 2666/70000 [55:59<23:58:04, 1.28s/step] Training: 4%|▍ | 2667/70000 [56:00<24:38:53, 1.32s/step] Training: 4%|▍ | 2668/70000 [56:02<23:52:46, 1.28s/step] Training: 4%|▍ | 2669/70000 [56:03<23:22:41, 1.25s/step] Training: 4%|▍ | 2670/70000 [56:04<23:04:12, 1.23s/step] Training: 4%|▍ | 2671/70000 [56:05<23:37:42, 1.26s/step] Training: 4%|▍ | 2672/70000 [56:07<23:35:41, 1.26s/step] Training: 4%|▍ | 2673/70000 [56:08<24:01:40, 1.28s/step] Training: 4%|▍ | 2674/70000 [56:09<23:30:41, 1.26s/step] Training: 4%|▍ | 2675/70000 [56:10<23:27:23, 1.25s/step] Training: 4%|▍ | 2676/70000 [56:12<23:02:36, 1.23s/step] Training: 4%|▍ | 2677/70000 [56:13<22:48:33, 1.22s/step] Training: 4%|▍ | 2678/70000 [56:14<22:38:09, 1.21s/step] Training: 4%|▍ | 2679/70000 [56:15<23:29:15, 1.26s/step] Training: 4%|▍ | 2680/70000 [56:17<23:53:25, 1.28s/step] Training: 4%|▍ | 2681/70000 [56:18<24:14:03, 1.30s/step] Training: 4%|▍ | 2682/70000 [56:19<23:37:03, 1.26s/step] Training: 4%|▍ | 2683/70000 [56:20<23:58:09, 1.28s/step] Training: 4%|▍ | 2684/70000 [56:22<24:18:52, 1.30s/step] Training: 4%|▍ | 2685/70000 [56:23<23:38:31, 1.26s/step] Training: 4%|▍ | 2686/70000 [56:24<23:14:40, 1.24s/step] Training: 4%|▍ | 2687/70000 [56:25<23:19:26, 1.25s/step] Training: 4%|▍ | 2688/70000 [56:27<23:51:26, 1.28s/step] Training: 4%|▍ | 2689/70000 [56:28<24:13:02, 1.30s/step] Training: 4%|▍ | 2690/70000 [56:29<23:37:55, 1.26s/step] Training: 4%|▍ | 2691/70000 [56:31<24:03:10, 1.29s/step] Training: 4%|▍ | 2692/70000 [56:32<24:41:35, 1.32s/step] Training: 4%|▍ | 2693/70000 [56:33<23:58:31, 1.28s/step] Training: 4%|▍ | 2694/70000 [56:34<23:26:15, 1.25s/step] Training: 4%|▍ | 2695/70000 [56:36<23:48:51, 1.27s/step] Training: 4%|▍ | 2696/70000 [56:37<24:21:50, 1.30s/step] Training: 4%|▍ | 2697/70000 [56:39<24:43:09, 1.32s/step] Training: 4%|▍ | 2698/70000 [56:40<24:00:37, 1.28s/step] Training: 4%|▍ | 2699/70000 [56:41<23:39:57, 1.27s/step] Training: 4%|▍ | 2700/70000 [56:42<23:21:09, 1.25s/step]INFO 2026-03-12 21:06:34 ot_train.py:435 step:3K smpl:173K ep:588 epch:2.29 loss:0.269 grdn:17.333 lr:2.5e-05 updt_s:1.239 data_s:0.019 Training: 4%|▍ | 2701/70000 [56:43<22:57:50, 1.23s/step] Training: 4%|▍ | 2702/70000 [56:45<22:45:34, 1.22s/step] Training: 4%|▍ | 2703/70000 [56:46<23:20:31, 1.25s/step] Training: 4%|▍ | 2704/70000 [56:47<23:27:50, 1.26s/step] Training: 4%|▍ | 2705/70000 [56:48<23:53:45, 1.28s/step] Training: 4%|▍ | 2706/70000 [56:50<23:25:37, 1.25s/step] Training: 4%|▍ | 2707/70000 [56:51<23:11:14, 1.24s/step] Training: 4%|▍ | 2708/70000 [56:52<23:51:11, 1.28s/step] Training: 4%|▍ | 2709/70000 [56:53<23:17:56, 1.25s/step] Training: 4%|▍ | 2710/70000 [56:55<22:59:23, 1.23s/step] Training: 4%|▍ | 2711/70000 [56:56<23:45:22, 1.27s/step] Training: 4%|▍ | 2712/70000 [56:57<24:05:56, 1.29s/step] Training: 4%|▍ | 2713/70000 [56:59<24:20:36, 1.30s/step] Training: 4%|▍ | 2714/70000 [57:00<23:45:07, 1.27s/step] Training: 4%|▍ | 2715/70000 [57:01<24:07:17, 1.29s/step] Training: 4%|▍ | 2716/70000 [57:03<24:29:16, 1.31s/step] Training: 4%|▍ | 2717/70000 [57:04<23:44:40, 1.27s/step] Training: 4%|▍ | 2718/70000 [57:05<23:17:02, 1.25s/step] Training: 4%|▍ | 2719/70000 [57:06<23:17:46, 1.25s/step] Training: 4%|▍ | 2720/70000 [57:07<23:47:09, 1.27s/step] Training: 4%|▍ | 2721/70000 [57:09<24:09:28, 1.29s/step] Training: 4%|▍ | 2722/70000 [57:10<23:36:37, 1.26s/step] Training: 4%|▍ | 2723/70000 [57:11<23:57:20, 1.28s/step] Training: 4%|▍ | 2724/70000 [57:13<23:49:44, 1.28s/step] Training: 4%|▍ | 2725/70000 [57:14<23:19:19, 1.25s/step] Training: 4%|▍ | 2726/70000 [57:15<22:56:41, 1.23s/step] Training: 4%|▍ | 2727/70000 [57:16<23:28:24, 1.26s/step] Training: 4%|▍ | 2728/70000 [57:18<24:01:47, 1.29s/step] Training: 4%|▍ | 2729/70000 [57:19<24:32:36, 1.31s/step] Training: 4%|▍ | 2730/70000 [57:20<23:50:11, 1.28s/step] Training: 4%|▍ | 2731/70000 [57:21<23:39:52, 1.27s/step] Training: 4%|▍ | 2732/70000 [57:23<23:13:41, 1.24s/step] Training: 4%|▍ | 2733/70000 [57:24<23:49:22, 1.27s/step] Training: 4%|▍ | 2734/70000 [57:25<23:17:52, 1.25s/step] Training: 4%|▍ | 2735/70000 [57:26<23:48:18, 1.27s/step] Training: 4%|▍ | 2736/70000 [57:28<23:28:14, 1.26s/step] Training: 4%|▍ | 2737/70000 [57:29<23:51:06, 1.28s/step] Training: 4%|▍ | 2738/70000 [57:30<23:20:23, 1.25s/step] Training: 4%|▍ | 2739/70000 [57:31<23:07:14, 1.24s/step] Training: 4%|▍ | 2740/70000 [57:33<22:50:11, 1.22s/step] Training: 4%|▍ | 2741/70000 [57:34<23:02:33, 1.23s/step] Training: 4%|▍ | 2742/70000 [57:35<22:47:37, 1.22s/step] Training: 4%|▍ | 2743/70000 [57:36<23:41:25, 1.27s/step] Training: 4%|▍ | 2744/70000 [57:38<24:02:38, 1.29s/step] Training: 4%|▍ | 2745/70000 [57:39<24:17:52, 1.30s/step] Training: 4%|▍ | 2746/70000 [57:40<23:41:17, 1.27s/step] Training: 4%|▍ | 2747/70000 [57:41<23:15:12, 1.24s/step] Training: 4%|▍ | 2748/70000 [57:43<23:36:07, 1.26s/step] Training: 4%|▍ | 2749/70000 [57:44<23:31:09, 1.26s/step] Training: 4%|▍ | 2750/70000 [57:45<23:06:19, 1.24s/step] Training: 4%|▍ | 2751/70000 [57:46<23:14:01, 1.24s/step] Training: 4%|▍ | 2752/70000 [57:48<23:42:34, 1.27s/step] Training: 4%|▍ | 2753/70000 [57:49<24:05:01, 1.29s/step] Training: 4%|▍ | 2754/70000 [57:50<23:31:00, 1.26s/step] Training: 4%|▍ | 2755/70000 [57:52<23:56:33, 1.28s/step] Training: 4%|▍ | 2756/70000 [57:53<23:25:23, 1.25s/step] Training: 4%|▍ | 2757/70000 [57:54<24:02:49, 1.29s/step] Training: 4%|▍ | 2758/70000 [57:55<23:26:36, 1.26s/step] Training: 4%|▍ | 2759/70000 [57:57<23:54:50, 1.28s/step] Training: 4%|▍ | 2760/70000 [57:58<23:40:03, 1.27s/step] Training: 4%|▍ | 2761/70000 [57:59<24:17:50, 1.30s/step] Training: 4%|▍ | 2762/70000 [58:01<23:39:19, 1.27s/step] Training: 4%|▍ | 2763/70000 [58:02<23:19:05, 1.25s/step] Training: 4%|▍ | 2764/70000 [58:03<22:59:14, 1.23s/step] Training: 4%|▍ | 2765/70000 [58:04<23:41:41, 1.27s/step] Training: 4%|▍ | 2766/70000 [58:05<23:11:10, 1.24s/step] Training: 4%|▍ | 2767/70000 [58:07<23:40:11, 1.27s/step] Training: 4%|▍ | 2768/70000 [58:08<23:37:56, 1.27s/step] Training: 4%|▍ | 2769/70000 [58:09<24:01:24, 1.29s/step] Training: 4%|▍ | 2770/70000 [58:11<23:28:49, 1.26s/step] Training: 4%|▍ | 2771/70000 [58:12<23:52:44, 1.28s/step] Training: 4%|▍ | 2772/70000 [58:13<23:23:31, 1.25s/step] Training: 4%|▍ | 2773/70000 [58:14<23:19:39, 1.25s/step] Training: 4%|▍ | 2774/70000 [58:16<22:57:53, 1.23s/step] Training: 4%|▍ | 2775/70000 [58:17<23:44:30, 1.27s/step] Training: 4%|▍ | 2776/70000 [58:18<24:01:43, 1.29s/step] Training: 4%|▍ | 2777/70000 [58:20<24:18:42, 1.30s/step] Training: 4%|▍ | 2778/70000 [58:21<23:43:09, 1.27s/step] Training: 4%|▍ | 2779/70000 [58:22<23:27:14, 1.26s/step] Training: 4%|▍ | 2780/70000 [58:23<23:06:09, 1.24s/step] Training: 4%|▍ | 2781/70000 [58:24<23:05:25, 1.24s/step] Training: 4%|▍ | 2782/70000 [58:26<22:46:07, 1.22s/step] Training: 4%|▍ | 2783/70000 [58:27<22:52:35, 1.23s/step] Training: 4%|▍ | 2784/70000 [58:28<23:29:43, 1.26s/step] Training: 4%|▍ | 2785/70000 [58:30<24:03:36, 1.29s/step] Training: 4%|▍ | 2786/70000 [58:31<23:28:38, 1.26s/step] Training: 4%|▍ | 2787/70000 [58:32<23:53:56, 1.28s/step] Training: 4%|▍ | 2788/70000 [58:33<23:23:18, 1.25s/step] Training: 4%|▍ | 2789/70000 [58:35<23:58:43, 1.28s/step] Training: 4%|▍ | 2790/70000 [58:36<23:23:41, 1.25s/step] Training: 4%|▍ | 2791/70000 [58:37<23:46:15, 1.27s/step] Training: 4%|▍ | 2792/70000 [58:38<23:30:11, 1.26s/step] Training: 4%|▍ | 2793/70000 [58:40<24:34:55, 1.32s/step] Training: 4%|▍ | 2794/70000 [58:41<23:51:46, 1.28s/step] Training: 4%|▍ | 2795/70000 [58:42<24:05:53, 1.29s/step] Training: 4%|▍ | 2796/70000 [58:43<23:31:01, 1.26s/step] Training: 4%|▍ | 2797/70000 [58:45<24:01:53, 1.29s/step] Training: 4%|▍ | 2798/70000 [58:46<23:25:36, 1.25s/step] Training: 4%|▍ | 2799/70000 [58:47<23:50:37, 1.28s/step] Training: 4%|▍ | 2800/70000 [58:49<23:31:50, 1.26s/step]INFO 2026-03-12 21:08:41 ot_train.py:435 step:3K smpl:179K ep:610 epch:2.37 loss:0.269 grdn:17.269 lr:2.5e-05 updt_s:1.243 data_s:0.019 Training: 4%|▍ | 2801/70000 [58:50<24:23:37, 1.31s/step] Training: 4%|▍ | 2802/70000 [58:51<23:43:38, 1.27s/step] Training: 4%|▍ | 2803/70000 [58:52<24:04:22, 1.29s/step] Training: 4%|▍ | 2804/70000 [58:54<23:30:36, 1.26s/step] Training: 4%|▍ | 2805/70000 [58:55<23:59:44, 1.29s/step] Training: 4%|▍ | 2806/70000 [58:56<23:23:30, 1.25s/step] Training: 4%|▍ | 2807/70000 [58:58<24:03:18, 1.29s/step] Training: 4%|▍ | 2808/70000 [58:59<24:15:44, 1.30s/step] Training: 4%|▍ | 2809/70000 [59:00<24:25:07, 1.31s/step] Training: 4%|▍ | 2810/70000 [59:01<23:44:59, 1.27s/step] Training: 4%|▍ | 2811/70000 [59:03<23:23:18, 1.25s/step] Training: 4%|▍ | 2812/70000 [59:04<23:02:40, 1.23s/step] Training: 4%|▍ | 2813/70000 [59:05<23:02:54, 1.23s/step] Training: 4%|▍ | 2814/70000 [59:06<22:45:58, 1.22s/step] Training: 4%|▍ | 2815/70000 [59:07<22:54:28, 1.23s/step] Training: 4%|▍ | 2816/70000 [59:09<23:29:31, 1.26s/step] Training: 4%|▍ | 2817/70000 [59:10<24:28:13, 1.31s/step] Training: 4%|▍ | 2818/70000 [59:11<23:46:27, 1.27s/step] Training: 4%|▍ | 2819/70000 [59:13<24:06:53, 1.29s/step] Training: 4%|▍ | 2820/70000 [59:14<23:34:47, 1.26s/step] Training: 4%|▍ | 2821/70000 [59:15<24:06:50, 1.29s/step] Training: 4%|▍ | 2822/70000 [59:16<23:28:20, 1.26s/step] Training: 4%|▍ | 2823/70000 [59:18<23:49:39, 1.28s/step] Training: 4%|▍ | 2824/70000 [59:19<23:35:12, 1.26s/step] Training: 4%|▍ | 2825/70000 [59:20<24:10:52, 1.30s/step] Training: 4%|▍ | 2826/70000 [59:22<23:35:14, 1.26s/step] Training: 4%|▍ | 2827/70000 [59:23<23:57:59, 1.28s/step] Training: 4%|▍ | 2828/70000 [59:24<23:25:48, 1.26s/step] Training: 4%|▍ | 2829/70000 [59:25<23:56:55, 1.28s/step] Training: 4%|▍ | 2830/70000 [59:27<23:26:11, 1.26s/step] Training: 4%|▍ | 2831/70000 [59:28<23:53:53, 1.28s/step] Training: 4%|▍ | 2832/70000 [59:29<23:29:24, 1.26s/step] Training: 4%|▍ | 2833/70000 [59:31<23:51:43, 1.28s/step] Training: 4%|▍ | 2834/70000 [59:32<23:22:00, 1.25s/step] Training: 4%|▍ | 2835/70000 [59:33<23:46:59, 1.27s/step] Training: 4%|▍ | 2836/70000 [59:34<23:20:58, 1.25s/step] Training: 4%|▍ | 2837/70000 [59:36<23:55:29, 1.28s/step] Training: 4%|▍ | 2838/70000 [59:37<23:21:37, 1.25s/step] Training: 4%|▍ | 2839/70000 [59:38<24:00:44, 1.29s/step] Training: 4%|▍ | 2840/70000 [59:39<24:15:57, 1.30s/step] Training: 4%|▍ | 2841/70000 [59:41<24:30:22, 1.31s/step] Training: 4%|▍ | 2842/70000 [59:42<23:48:37, 1.28s/step] Training: 4%|▍ | 2843/70000 [59:43<23:29:59, 1.26s/step] Training: 4%|▍ | 2844/70000 [59:44<23:06:30, 1.24s/step] Training: 4%|▍ | 2845/70000 [59:46<23:07:24, 1.24s/step] Training: 4%|▍ | 2846/70000 [59:47<22:47:16, 1.22s/step] Training: 4%|▍ | 2847/70000 [59:48<22:53:03, 1.23s/step] Training: 4%|▍ | 2848/70000 [59:49<23:27:08, 1.26s/step] Training: 4%|▍ | 2849/70000 [59:51<23:54:33, 1.28s/step] Training: 4%|▍ | 2850/70000 [59:52<23:22:33, 1.25s/step] Training: 4%|▍ | 2851/70000 [59:53<23:55:11, 1.28s/step] Training: 4%|▍ | 2852/70000 [59:54<23:23:56, 1.25s/step] Training: 4%|▍ | 2853/70000 [59:56<24:02:16, 1.29s/step] Training: 4%|▍ | 2854/70000 [59:57<23:25:19, 1.26s/step] Training: 4%|▍ | 2855/70000 [59:58<23:09:35, 1.24s/step] Training: 4%|▍ | 2856/70000 [1:00:00<23:34:10, 1.26s/step] Training: 4%|▍ | 2857/70000 [1:00:01<23:58:25, 1.29s/step] Training: 4%|▍ | 2858/70000 [1:00:02<23:25:52, 1.26s/step] Training: 4%|▍ | 2859/70000 [1:00:03<23:48:03, 1.28s/step] Training: 4%|▍ | 2860/70000 [1:00:05<23:18:53, 1.25s/step] Training: 4%|▍ | 2861/70000 [1:00:06<23:57:01, 1.28s/step] Training: 4%|▍ | 2862/70000 [1:00:07<23:22:17, 1.25s/step] Training: 4%|▍ | 2863/70000 [1:00:08<23:47:53, 1.28s/step] Training: 4%|▍ | 2864/70000 [1:00:10<23:54:10, 1.28s/step] Training: 4%|▍ | 2865/70000 [1:00:11<24:08:26, 1.29s/step] Training: 4%|▍ | 2866/70000 [1:00:12<23:33:46, 1.26s/step] Training: 4%|▍ | 2867/70000 [1:00:14<23:55:51, 1.28s/step] Training: 4%|▍ | 2868/70000 [1:00:15<23:24:15, 1.26s/step] Training: 4%|▍ | 2869/70000 [1:00:16<23:59:20, 1.29s/step] Training: 4%|▍ | 2870/70000 [1:00:17<23:24:53, 1.26s/step] Training: 4%|▍ | 2871/70000 [1:00:19<23:54:51, 1.28s/step] Training: 4%|▍ | 2872/70000 [1:00:20<23:31:58, 1.26s/step] Training: 4%|▍ | 2873/70000 [1:00:21<24:33:03, 1.32s/step] Training: 4%|▍ | 2874/70000 [1:00:23<23:50:10, 1.28s/step] Training: 4%|▍ | 2875/70000 [1:00:24<23:31:08, 1.26s/step] Training: 4%|▍ | 2876/70000 [1:00:25<23:08:58, 1.24s/step] Training: 4%|▍ | 2877/70000 [1:00:26<23:09:51, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=15938 Training: 4%|▍ | 2878/70000 [1:00:27<22:49:45, 1.22s/step] Training: 4%|▍ | 2879/70000 [1:00:29<22:50:43, 1.23s/step] Training: 4%|▍ | 2880/70000 [1:00:30<23:25:14, 1.26s/step] Training: 4%|▍ | 2881/70000 [1:00:31<23:46:55, 1.28s/step] Training: 4%|▍ | 2882/70000 [1:00:32<23:18:59, 1.25s/step] Training: 4%|▍ | 2883/70000 [1:00:34<23:41:22, 1.27s/step] Training: 4%|▍ | 2884/70000 [1:00:35<23:15:14, 1.25s/step] Training: 4%|▍ | 2885/70000 [1:00:36<23:54:41, 1.28s/step] Training: 4%|▍ | 2886/70000 [1:00:38<23:20:16, 1.25s/step] Training: 4%|▍ | 2887/70000 [1:00:39<23:13:12, 1.25s/step] Training: 4%|▍ | 2888/70000 [1:00:40<23:51:25, 1.28s/step] Training: 4%|▍ | 2889/70000 [1:00:41<24:19:36, 1.30s/step] Training: 4%|▍ | 2890/70000 [1:00:43<23:39:22, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=26175 Training: 4%|▍ | 2891/70000 [1:00:44<23:59:14, 1.29s/step] Training: 4%|▍ | 2892/70000 [1:00:45<23:26:24, 1.26s/step] Training: 4%|▍ | 2893/70000 [1:00:47<23:59:04, 1.29s/step] Training: 4%|▍ | 2894/70000 [1:00:48<23:23:43, 1.26s/step] Training: 4%|▍ | 2895/70000 [1:00:49<23:02:13, 1.24s/step] Training: 4%|▍ | 2896/70000 [1:00:50<24:17:57, 1.30s/step] Training: 4%|▍ | 2897/70000 [1:00:52<24:23:46, 1.31s/step] Training: 4%|▍ | 2898/70000 [1:00:53<23:44:05, 1.27s/step] Training: 4%|▍ | 2899/70000 [1:00:54<24:03:15, 1.29s/step] Training: 4%|▍ | 2900/70000 [1:00:55<23:28:59, 1.26s/step]INFO 2026-03-12 21:10:48 ot_train.py:435 step:3K smpl:186K ep:632 epch:2.46 loss:0.299 grdn:18.407 lr:2.5e-05 updt_s:1.248 data_s:0.019 Training: 4%|▍ | 2901/70000 [1:00:57<24:06:49, 1.29s/step] Training: 4%|▍ | 2902/70000 [1:00:58<23:28:21, 1.26s/step] Training: 4%|▍ | 2903/70000 [1:00:59<23:58:16, 1.29s/step] Training: 4%|▍ | 2904/70000 [1:01:01<24:12:58, 1.30s/step] Training: 4%|▍ | 2905/70000 [1:01:02<24:27:32, 1.31s/step] Training: 4%|▍ | 2906/70000 [1:01:03<23:46:00, 1.28s/step] Training: 4%|▍ | 2907/70000 [1:01:04<23:21:32, 1.25s/step] Training: 4%|▍ | 2908/70000 [1:01:06<22:59:22, 1.23s/step] Training: 4%|▍ | 2909/70000 [1:01:07<22:59:30, 1.23s/step] Training: 4%|▍ | 2910/70000 [1:01:08<22:42:23, 1.22s/step] Training: 4%|▍ | 2911/70000 [1:01:09<22:44:33, 1.22s/step] Training: 4%|▍ | 2912/70000 [1:01:11<23:23:41, 1.26s/step] Training: 4%|▍ | 2913/70000 [1:01:12<23:51:22, 1.28s/step] Training: 4%|▍ | 2914/70000 [1:01:13<23:21:29, 1.25s/step] Training: 4%|▍ | 2915/70000 [1:01:14<23:45:55, 1.28s/step] Training: 4%|▍ | 2916/70000 [1:01:16<23:16:28, 1.25s/step] Training: 4%|▍ | 2917/70000 [1:01:17<23:51:33, 1.28s/step] Training: 4%|▍ | 2918/70000 [1:01:18<23:18:43, 1.25s/step] Training: 4%|▍ | 2919/70000 [1:01:19<23:08:36, 1.24s/step] Training: 4%|▍ | 2920/70000 [1:01:21<23:52:01, 1.28s/step] Training: 4%|▍ | 2921/70000 [1:01:22<24:16:06, 1.30s/step] Training: 4%|▍ | 2922/70000 [1:01:23<23:38:22, 1.27s/step] Training: 4%|▍ | 2923/70000 [1:01:25<23:59:44, 1.29s/step] Training: 4%|▍ | 2924/70000 [1:01:26<23:27:27, 1.26s/step] Training: 4%|▍ | 2925/70000 [1:01:27<24:00:49, 1.29s/step] Training: 4%|▍ | 2926/70000 [1:01:28<23:24:48, 1.26s/step] Training: 4%|▍ | 2927/70000 [1:01:29<23:03:25, 1.24s/step] Training: 4%|▍ | 2928/70000 [1:01:31<24:15:51, 1.30s/step] Training: 4%|▍ | 2929/70000 [1:01:32<24:23:24, 1.31s/step] Training: 4%|▍ | 2930/70000 [1:01:33<23:45:57, 1.28s/step] Training: 4%|▍ | 2931/70000 [1:01:35<24:00:02, 1.29s/step] Training: 4%|▍ | 2932/70000 [1:01:36<23:27:18, 1.26s/step] Training: 4%|▍ | 2933/70000 [1:01:37<23:58:02, 1.29s/step] Training: 4%|▍ | 2934/70000 [1:01:38<23:22:15, 1.25s/step] Training: 4%|▍ | 2935/70000 [1:01:40<23:00:09, 1.23s/step] Training: 4%|▍ | 2936/70000 [1:01:41<23:33:27, 1.26s/step] Training: 4%|▍ | 2937/70000 [1:01:42<23:57:59, 1.29s/step] Training: 4%|▍ | 2938/70000 [1:01:44<23:24:31, 1.26s/step] Training: 4%|▍ | 2939/70000 [1:01:45<23:09:29, 1.24s/step] Training: 4%|▍ | 2940/70000 [1:01:46<22:50:16, 1.23s/step] Training: 4%|▍ | 2941/70000 [1:01:47<22:54:50, 1.23s/step] Training: 4%|▍ | 2942/70000 [1:01:48<22:38:47, 1.22s/step] Training: 4%|▍ | 2943/70000 [1:01:50<22:42:10, 1.22s/step] Training: 4%|▍ | 2944/70000 [1:01:51<23:19:28, 1.25s/step] Training: 4%|▍ | 2945/70000 [1:01:52<23:48:35, 1.28s/step] Training: 4%|▍ | 2946/70000 [1:01:53<23:19:45, 1.25s/step] Training: 4%|▍ | 2947/70000 [1:01:55<23:45:30, 1.28s/step] Training: 4%|▍ | 2948/70000 [1:01:56<23:17:21, 1.25s/step] Training: 4%|▍ | 2949/70000 [1:01:57<23:50:29, 1.28s/step] Training: 4%|▍ | 2950/70000 [1:01:59<23:19:32, 1.25s/step] Training: 4%|▍ | 2951/70000 [1:02:00<23:07:01, 1.24s/step] Training: 4%|▍ | 2952/70000 [1:02:01<23:49:35, 1.28s/step] Training: 4%|▍ | 2953/70000 [1:02:03<24:42:02, 1.33s/step] Training: 4%|▍ | 2954/70000 [1:02:04<23:58:47, 1.29s/step] Training: 4%|▍ | 2955/70000 [1:02:05<24:12:49, 1.30s/step] Training: 4%|▍ | 2956/70000 [1:02:06<23:36:16, 1.27s/step] Training: 4%|▍ | 2957/70000 [1:02:08<24:11:40, 1.30s/step] Training: 4%|▍ | 2958/70000 [1:02:09<23:33:38, 1.27s/step] Training: 4%|▍ | 2959/70000 [1:02:10<23:53:07, 1.28s/step] Training: 4%|▍ | 2960/70000 [1:02:11<23:46:31, 1.28s/step] Training: 4%|▍ | 2961/70000 [1:02:13<24:17:50, 1.30s/step] Training: 4%|▍ | 2962/70000 [1:02:14<23:40:22, 1.27s/step] Training: 4%|▍ | 2963/70000 [1:02:15<24:02:40, 1.29s/step] Training: 4%|▍ | 2964/70000 [1:02:16<23:29:36, 1.26s/step] Training: 4%|▍ | 2965/70000 [1:02:18<23:19:21, 1.25s/step] Training: 4%|▍ | 2966/70000 [1:02:19<22:58:25, 1.23s/step] Training: 4%|▍ | 2967/70000 [1:02:20<23:29:16, 1.26s/step] Training: 4%|▍ | 2968/70000 [1:02:22<23:54:40, 1.28s/step] Training: 4%|▍ | 2969/70000 [1:02:23<24:09:35, 1.30s/step] Training: 4%|▍ | 2970/70000 [1:02:24<23:33:24, 1.27s/step] Training: 4%|▍ | 2971/70000 [1:02:25<23:14:12, 1.25s/step] Training: 4%|▍ | 2972/70000 [1:02:26<22:54:06, 1.23s/step] Training: 4%|▍ | 2973/70000 [1:02:28<22:57:31, 1.23s/step] Training: 4%|▍ | 2974/70000 [1:02:29<22:39:51, 1.22s/step] Training: 4%|▍ | 2975/70000 [1:02:30<22:36:54, 1.21s/step] Training: 4%|▍ | 2976/70000 [1:02:31<23:16:53, 1.25s/step] Training: 4%|▍ | 2977/70000 [1:02:33<23:41:41, 1.27s/step] Training: 4%|▍ | 2978/70000 [1:02:34<23:14:30, 1.25s/step] Training: 4%|▍ | 2979/70000 [1:02:35<23:44:11, 1.27s/step] Training: 4%|▍ | 2980/70000 [1:02:36<23:15:52, 1.25s/step] Training: 4%|▍ | 2981/70000 [1:02:38<23:50:29, 1.28s/step] Training: 4%|▍ | 2982/70000 [1:02:39<23:17:03, 1.25s/step] Training: 4%|▍ | 2983/70000 [1:02:40<23:16:06, 1.25s/step] Training: 4%|▍ | 2984/70000 [1:02:42<23:59:47, 1.29s/step] Training: 4%|▍ | 2985/70000 [1:02:43<24:15:49, 1.30s/step] Training: 4%|▍ | 2986/70000 [1:02:44<23:37:59, 1.27s/step] Training: 4%|▍ | 2987/70000 [1:02:46<23:58:27, 1.29s/step] Training: 4%|▍ | 2988/70000 [1:02:47<23:25:26, 1.26s/step] Training: 4%|▍ | 2989/70000 [1:02:48<23:57:26, 1.29s/step] Training: 4%|▍ | 2990/70000 [1:02:49<23:20:38, 1.25s/step] Training: 4%|▍ | 2991/70000 [1:02:50<22:59:08, 1.23s/step] Training: 4%|▍ | 2992/70000 [1:02:52<23:43:36, 1.27s/step] Training: 4%|▍ | 2993/70000 [1:02:53<24:15:45, 1.30s/step] Training: 4%|▍ | 2994/70000 [1:02:54<23:39:51, 1.27s/step] Training: 4%|▍ | 2995/70000 [1:02:56<23:56:15, 1.29s/step] Training: 4%|▍ | 2996/70000 [1:02:57<23:23:18, 1.26s/step] Training: 4%|▍ | 2997/70000 [1:02:58<23:57:44, 1.29s/step] Training: 4%|▍ | 2998/70000 [1:02:59<23:21:14, 1.25s/step] Training: 4%|▍ | 2999/70000 [1:03:01<23:48:10, 1.28s/step] Training: 4%|▍ | 3000/70000 [1:03:02<24:06:45, 1.30s/step]INFO 2026-03-12 21:12:54 ot_train.py:435 step:3K smpl:192K ep:654 epch:2.54 loss:0.288 grdn:19.413 lr:2.5e-05 updt_s:1.246 data_s:0.018 Training: 4%|▍ | 3001/70000 [1:03:03<24:20:29, 1.31s/step] Training: 4%|▍ | 3002/70000 [1:03:05<23:43:01, 1.27s/step] Training: 4%|▍ | 3003/70000 [1:03:06<23:15:04, 1.25s/step] Training: 4%|▍ | 3004/70000 [1:03:07<22:55:34, 1.23s/step] Training: 4%|▍ | 3005/70000 [1:03:08<23:07:35, 1.24s/step] Training: 4%|▍ | 3006/70000 [1:03:09<22:49:01, 1.23s/step] Training: 4%|▍ | 3007/70000 [1:03:11<22:53:01, 1.23s/step] Training: 4%|▍ | 3008/70000 [1:03:12<23:26:06, 1.26s/step] Training: 4%|▍ | 3009/70000 [1:03:13<24:36:43, 1.32s/step] Training: 4%|▍ | 3010/70000 [1:03:15<24:41:01, 1.33s/step] Training: 4%|▍ | 3011/70000 [1:03:16<24:43:37, 1.33s/step] Training: 4%|▍ | 3012/70000 [1:03:17<23:57:28, 1.29s/step] Training: 4%|▍ | 3013/70000 [1:03:19<24:21:32, 1.31s/step] Training: 4%|▍ | 3014/70000 [1:03:20<23:39:14, 1.27s/step] Training: 4%|▍ | 3015/70000 [1:03:21<23:34:11, 1.27s/step] Training: 4%|▍ | 3016/70000 [1:03:22<23:28:32, 1.26s/step] Training: 4%|▍ | 3017/70000 [1:03:24<24:06:55, 1.30s/step] Training: 4%|▍ | 3018/70000 [1:03:25<24:16:39, 1.30s/step] Training: 4%|▍ | 3019/70000 [1:03:26<24:25:00, 1.31s/step] Training: 4%|▍ | 3020/70000 [1:03:28<23:43:54, 1.28s/step] Training: 4%|▍ | 3021/70000 [1:03:29<24:11:58, 1.30s/step] Training: 4%|▍ | 3022/70000 [1:03:30<23:31:13, 1.26s/step] Training: 4%|▍ | 3023/70000 [1:03:31<23:06:39, 1.24s/step] Training: 4%|▍ | 3024/70000 [1:03:33<23:46:53, 1.28s/step] Training: 4%|▍ | 3025/70000 [1:03:34<23:34:24, 1.27s/step] Training: 4%|▍ | 3026/70000 [1:03:35<23:07:42, 1.24s/step] Training: 4%|▍ | 3027/70000 [1:03:36<23:04:36, 1.24s/step] Training: 4%|▍ | 3028/70000 [1:03:38<22:47:14, 1.22s/step] Training: 4%|▍ | 3029/70000 [1:03:39<23:29:05, 1.26s/step] Training: 4%|▍ | 3030/70000 [1:03:40<23:01:31, 1.24s/step] Training: 4%|▍ | 3031/70000 [1:03:41<23:32:30, 1.27s/step] Training: 4%|▍ | 3032/70000 [1:03:43<24:00:33, 1.29s/step] Training: 4%|▍ | 3033/70000 [1:03:44<24:15:32, 1.30s/step] Training: 4%|▍ | 3034/70000 [1:03:45<24:32:45, 1.32s/step] Training: 4%|▍ | 3035/70000 [1:03:47<23:58:26, 1.29s/step] Training: 4%|▍ | 3036/70000 [1:03:48<23:24:45, 1.26s/step] Training: 4%|▍ | 3037/70000 [1:03:49<23:19:11, 1.25s/step] Training: 4%|▍ | 3038/70000 [1:03:50<22:54:47, 1.23s/step] Training: 4%|▍ | 3039/70000 [1:03:51<22:45:51, 1.22s/step] Training: 4%|▍ | 3040/70000 [1:03:53<23:28:31, 1.26s/step] Training: 4%|▍ | 3041/70000 [1:03:54<23:53:42, 1.28s/step] Training: 4%|▍ | 3042/70000 [1:03:55<23:38:22, 1.27s/step] Training: 4%|▍ | 3043/70000 [1:03:57<24:00:04, 1.29s/step] Training: 4%|▍ | 3044/70000 [1:03:58<23:25:53, 1.26s/step] Training: 4%|▍ | 3045/70000 [1:03:59<24:00:52, 1.29s/step] Training: 4%|▍ | 3046/70000 [1:04:00<23:25:13, 1.26s/step] Training: 4%|▍ | 3047/70000 [1:04:02<23:13:37, 1.25s/step] Training: 4%|▍ | 3048/70000 [1:04:03<23:12:22, 1.25s/step] Training: 4%|▍ | 3049/70000 [1:04:04<23:36:28, 1.27s/step] Training: 4%|▍ | 3050/70000 [1:04:06<23:24:45, 1.26s/step] Training: 4%|▍ | 3051/70000 [1:04:07<24:15:55, 1.30s/step] Training: 4%|▍ | 3052/70000 [1:04:08<23:36:28, 1.27s/step] Training: 4%|▍ | 3053/70000 [1:04:09<24:03:40, 1.29s/step] Training: 4%|▍ | 3054/70000 [1:04:11<23:24:38, 1.26s/step] Training: 4%|▍ | 3055/70000 [1:04:12<23:03:55, 1.24s/step] Training: 4%|▍ | 3056/70000 [1:04:13<23:36:43, 1.27s/step] Training: 4%|▍ | 3057/70000 [1:04:14<23:28:33, 1.26s/step] Training: 4%|▍ | 3058/70000 [1:04:16<23:57:52, 1.29s/step] Training: 4%|▍ | 3059/70000 [1:04:17<23:38:01, 1.27s/step] Training: 4%|▍ | 3060/70000 [1:04:18<23:11:08, 1.25s/step] Training: 4%|▍ | 3061/70000 [1:04:19<23:11:02, 1.25s/step] Training: 4%|▍ | 3062/70000 [1:04:21<22:51:22, 1.23s/step] Training: 4%|▍ | 3063/70000 [1:04:22<23:22:33, 1.26s/step] Training: 4%|▍ | 3064/70000 [1:04:23<23:51:12, 1.28s/step] Training: 4%|▍ | 3065/70000 [1:04:25<24:05:32, 1.30s/step] Training: 4%|▍ | 3066/70000 [1:04:26<23:36:58, 1.27s/step] Training: 4%|▍ | 3067/70000 [1:04:27<23:20:38, 1.26s/step] Training: 4%|▍ | 3068/70000 [1:04:28<22:58:26, 1.24s/step] Training: 4%|▍ | 3069/70000 [1:04:29<22:57:58, 1.24s/step] Training: 4%|▍ | 3070/70000 [1:04:31<22:39:30, 1.22s/step] Training: 4%|▍ | 3071/70000 [1:04:32<22:36:11, 1.22s/step] Training: 4%|▍ | 3072/70000 [1:04:33<23:15:08, 1.25s/step] Training: 4%|▍ | 3073/70000 [1:04:35<23:43:03, 1.28s/step] Training: 4%|▍ | 3074/70000 [1:04:36<23:40:59, 1.27s/step] Training: 4%|▍ | 3075/70000 [1:04:37<23:58:00, 1.29s/step] Training: 4%|▍ | 3076/70000 [1:04:38<23:25:16, 1.26s/step] Training: 4%|▍ | 3077/70000 [1:04:40<23:58:14, 1.29s/step] Training: 4%|▍ | 3078/70000 [1:04:41<23:22:03, 1.26s/step] Training: 4%|▍ | 3079/70000 [1:04:42<23:10:02, 1.25s/step] Training: 4%|▍ | 3080/70000 [1:04:43<23:09:34, 1.25s/step] Training: 4%|▍ | 3081/70000 [1:04:45<23:35:41, 1.27s/step] Training: 4%|▍ | 3082/70000 [1:04:46<23:15:46, 1.25s/step] Training: 4%|▍ | 3083/70000 [1:04:47<24:18:42, 1.31s/step] Training: 4%|▍ | 3084/70000 [1:04:48<23:38:57, 1.27s/step] Training: 4%|▍ | 3085/70000 [1:04:50<24:10:24, 1.30s/step] Training: 4%|▍ | 3086/70000 [1:04:51<23:30:40, 1.26s/step] Training: 4%|▍ | 3087/70000 [1:04:52<23:05:47, 1.24s/step] Training: 4%|▍ | 3088/70000 [1:04:54<23:37:42, 1.27s/step] Training: 4%|▍ | 3089/70000 [1:04:55<23:32:24, 1.27s/step] Training: 4%|▍ | 3090/70000 [1:04:56<23:52:59, 1.29s/step] Training: 4%|▍ | 3091/70000 [1:04:57<23:32:58, 1.27s/step] Training: 4%|▍ | 3092/70000 [1:04:59<23:08:09, 1.24s/step] Training: 4%|▍ | 3093/70000 [1:05:00<23:42:07, 1.28s/step] Training: 4%|▍ | 3094/70000 [1:05:01<23:11:24, 1.25s/step] Training: 4%|▍ | 3095/70000 [1:05:02<22:51:37, 1.23s/step] Training: 4%|▍ | 3096/70000 [1:05:03<22:37:19, 1.22s/step] Training: 4%|▍ | 3097/70000 [1:05:05<23:49:46, 1.28s/step] Training: 4%|▍ | 3098/70000 [1:05:06<24:18:45, 1.31s/step] Training: 4%|▍ | 3099/70000 [1:05:07<23:47:02, 1.28s/step] Training: 4%|▍ | 3100/70000 [1:05:09<23:16:54, 1.25s/step]INFO 2026-03-12 21:15:01 ot_train.py:435 step:3K smpl:198K ep:675 epch:2.63 loss:0.270 grdn:17.953 lr:2.5e-05 updt_s:1.245 data_s:0.018 Training: 4%|▍ | 3101/70000 [1:05:10<23:10:37, 1.25s/step] Training: 4%|▍ | 3102/70000 [1:05:11<22:47:19, 1.23s/step] Training: 4%|▍ | 3103/70000 [1:05:12<23:13:23, 1.25s/step] Training: 4%|▍ | 3104/70000 [1:05:14<22:53:52, 1.23s/step] Training: 4%|▍ | 3105/70000 [1:05:15<23:49:11, 1.28s/step] Training: 4%|▍ | 3106/70000 [1:05:16<23:42:14, 1.28s/step] Training: 4%|▍ | 3107/70000 [1:05:18<24:00:53, 1.29s/step] Training: 4%|▍ | 3108/70000 [1:05:19<23:25:55, 1.26s/step] Training: 4%|▍ | 3109/70000 [1:05:20<23:59:18, 1.29s/step] Training: 4%|▍ | 3110/70000 [1:05:21<23:22:06, 1.26s/step] Training: 4%|▍ | 3111/70000 [1:05:23<23:44:42, 1.28s/step] Training: 4%|▍ | 3112/70000 [1:05:24<23:15:15, 1.25s/step] Training: 4%|▍ | 3113/70000 [1:05:25<23:40:28, 1.27s/step] Training: 4%|▍ | 3114/70000 [1:05:26<23:58:20, 1.29s/step] Training: 4%|▍ | 3115/70000 [1:05:28<24:10:32, 1.30s/step] Training: 4%|▍ | 3116/70000 [1:05:29<23:32:18, 1.27s/step] Training: 4%|▍ | 3117/70000 [1:05:30<24:03:01, 1.29s/step] Training: 4%|▍ | 3118/70000 [1:05:32<23:25:11, 1.26s/step] Training: 4%|▍ | 3119/70000 [1:05:33<23:06:34, 1.24s/step] Training: 4%|▍ | 3120/70000 [1:05:34<22:49:38, 1.23s/step] Training: 4%|▍ | 3121/70000 [1:05:35<23:44:34, 1.28s/step] Training: 4%|▍ | 3122/70000 [1:05:37<24:01:28, 1.29s/step] Training: 4%|▍ | 3123/70000 [1:05:38<24:14:44, 1.31s/step] Training: 4%|▍ | 3124/70000 [1:05:39<23:36:48, 1.27s/step] Training: 4%|▍ | 3125/70000 [1:05:40<23:30:27, 1.27s/step] Training: 4%|▍ | 3126/70000 [1:05:42<23:04:52, 1.24s/step] Training: 4%|▍ | 3127/70000 [1:05:43<23:37:49, 1.27s/step] Training: 4%|▍ | 3128/70000 [1:05:44<23:09:54, 1.25s/step] Training: 4%|▍ | 3129/70000 [1:05:45<23:38:47, 1.27s/step] Training: 4%|▍ | 3130/70000 [1:05:47<23:23:04, 1.26s/step] Training: 4%|▍ | 3131/70000 [1:05:48<23:28:08, 1.26s/step] Training: 4%|▍ | 3132/70000 [1:05:49<23:04:28, 1.24s/step] Training: 4%|▍ | 3133/70000 [1:05:50<23:02:58, 1.24s/step] Training: 4%|▍ | 3134/70000 [1:05:52<22:43:55, 1.22s/step] Training: 4%|▍ | 3135/70000 [1:05:53<23:16:54, 1.25s/step] Training: 4%|▍ | 3136/70000 [1:05:54<22:57:05, 1.24s/step] Training: 4%|▍ | 3137/70000 [1:05:55<23:34:13, 1.27s/step] Training: 4%|▍ | 3138/70000 [1:05:57<23:12:02, 1.25s/step] Training: 4%|▍ | 3139/70000 [1:05:58<23:39:59, 1.27s/step] Training: 4%|▍ | 3140/70000 [1:05:59<23:10:35, 1.25s/step] Training: 4%|▍ | 3141/70000 [1:06:01<23:54:03, 1.29s/step] Training: 4%|▍ | 3142/70000 [1:06:02<23:18:30, 1.26s/step] Training: 4%|▍ | 3143/70000 [1:06:03<23:41:30, 1.28s/step] Training: 4%|▍ | 3144/70000 [1:06:04<23:11:58, 1.25s/step] Training: 4%|▍ | 3145/70000 [1:06:06<23:38:21, 1.27s/step] Training: 4%|▍ | 3146/70000 [1:06:07<23:55:36, 1.29s/step] Training: 4%|▍ | 3147/70000 [1:06:08<24:09:05, 1.30s/step] Training: 4%|▍ | 3148/70000 [1:06:09<23:32:19, 1.27s/step] Training: 4%|▍ | 3149/70000 [1:06:11<24:02:59, 1.30s/step] Training: 4%|▍ | 3150/70000 [1:06:12<23:24:16, 1.26s/step] Training: 5%|▍ | 3151/70000 [1:06:13<23:07:19, 1.25s/step] Training: 5%|▍ | 3152/70000 [1:06:14<22:48:25, 1.23s/step] Training: 5%|▍ | 3153/70000 [1:06:16<23:35:44, 1.27s/step] Training: 5%|▍ | 3154/70000 [1:06:17<23:54:49, 1.29s/step] Training: 5%|▍ | 3155/70000 [1:06:18<24:15:22, 1.31s/step] Training: 5%|▍ | 3156/70000 [1:06:20<23:38:22, 1.27s/step] Training: 5%|▍ | 3157/70000 [1:06:21<24:04:40, 1.30s/step] Training: 5%|▍ | 3158/70000 [1:06:22<23:25:17, 1.26s/step] Training: 5%|▍ | 3159/70000 [1:06:23<23:53:30, 1.29s/step] Training: 5%|▍ | 3160/70000 [1:06:25<23:20:56, 1.26s/step] Training: 5%|▍ | 3161/70000 [1:06:26<23:46:16, 1.28s/step] Training: 5%|▍ | 3162/70000 [1:06:27<23:28:14, 1.26s/step] Training: 5%|▍ | 3163/70000 [1:06:29<23:49:45, 1.28s/step] Training: 5%|▍ | 3164/70000 [1:06:30<23:19:07, 1.26s/step] Training: 5%|▍ | 3165/70000 [1:06:31<23:09:57, 1.25s/step] Training: 5%|▍ | 3166/70000 [1:06:32<22:47:51, 1.23s/step] Training: 5%|▍ | 3167/70000 [1:06:33<23:21:48, 1.26s/step] Training: 5%|▍ | 3168/70000 [1:06:35<22:59:34, 1.24s/step] Training: 5%|▍ | 3169/70000 [1:06:36<23:34:57, 1.27s/step] Training: 5%|▍ | 3170/70000 [1:06:37<23:16:00, 1.25s/step] Training: 5%|▍ | 3171/70000 [1:06:39<23:42:41, 1.28s/step] Training: 5%|▍ | 3172/70000 [1:06:40<23:13:00, 1.25s/step] Training: 5%|▍ | 3173/70000 [1:06:41<23:48:30, 1.28s/step] Training: 5%|▍ | 3174/70000 [1:06:42<23:13:40, 1.25s/step] Training: 5%|▍ | 3175/70000 [1:06:44<23:46:11, 1.28s/step] Training: 5%|▍ | 3176/70000 [1:06:45<23:15:57, 1.25s/step] Training: 5%|▍ | 3177/70000 [1:06:46<23:39:51, 1.27s/step] Training: 5%|▍ | 3178/70000 [1:06:48<24:04:37, 1.30s/step] Training: 5%|▍ | 3179/70000 [1:06:49<24:16:58, 1.31s/step] Training: 5%|▍ | 3180/70000 [1:06:50<23:37:30, 1.27s/step] Training: 5%|▍ | 3181/70000 [1:06:51<24:04:58, 1.30s/step] Training: 5%|▍ | 3182/70000 [1:06:53<23:25:43, 1.26s/step] Training: 5%|▍ | 3183/70000 [1:06:54<23:13:14, 1.25s/step] Training: 5%|▍ | 3184/70000 [1:06:55<22:52:28, 1.23s/step] Training: 5%|▍ | 3185/70000 [1:06:56<23:40:26, 1.28s/step] Training: 5%|▍ | 3186/70000 [1:06:58<24:00:14, 1.29s/step] Training: 5%|▍ | 3187/70000 [1:06:59<24:25:34, 1.32s/step] Training: 5%|▍ | 3188/70000 [1:07:00<23:44:34, 1.28s/step] Training: 5%|▍ | 3189/70000 [1:07:02<24:09:53, 1.30s/step] Training: 5%|▍ | 3190/70000 [1:07:03<23:29:16, 1.27s/step] Training: 5%|▍ | 3191/70000 [1:07:04<23:50:23, 1.28s/step] Training: 5%|▍ | 3192/70000 [1:07:05<23:18:41, 1.26s/step] Training: 5%|▍ | 3193/70000 [1:07:07<23:43:19, 1.28s/step] Training: 5%|▍ | 3194/70000 [1:07:08<23:26:03, 1.26s/step] Training: 5%|▍ | 3195/70000 [1:07:09<23:24:35, 1.26s/step] Training: 5%|▍ | 3196/70000 [1:07:10<23:01:39, 1.24s/step] Training: 5%|▍ | 3197/70000 [1:07:12<23:04:38, 1.24s/step] Training: 5%|▍ | 3198/70000 [1:07:13<22:45:36, 1.23s/step] Training: 5%|▍ | 3199/70000 [1:07:14<23:19:27, 1.26s/step] Training: 5%|▍ | 3200/70000 [1:07:15<22:56:57, 1.24s/step]INFO 2026-03-12 21:17:07 ot_train.py:435 step:3K smpl:205K ep:697 epch:2.71 loss:0.281 grdn:18.412 lr:2.5e-05 updt_s:1.245 data_s:0.018 Training: 5%|▍ | 3201/70000 [1:07:17<23:27:35, 1.26s/step] Training: 5%|▍ | 3202/70000 [1:07:18<23:12:21, 1.25s/step] Training: 5%|▍ | 3203/70000 [1:07:19<23:41:30, 1.28s/step] Training: 5%|▍ | 3204/70000 [1:07:20<23:12:20, 1.25s/step] Training: 5%|▍ | 3205/70000 [1:07:22<23:48:26, 1.28s/step] Training: 5%|▍ | 3206/70000 [1:07:23<23:16:38, 1.25s/step] Training: 5%|▍ | 3207/70000 [1:07:24<23:40:59, 1.28s/step] Training: 5%|▍ | 3208/70000 [1:07:25<23:10:20, 1.25s/step] Training: 5%|▍ | 3209/70000 [1:07:27<23:41:37, 1.28s/step] Training: 5%|▍ | 3210/70000 [1:07:28<23:56:29, 1.29s/step] Training: 5%|▍ | 3211/70000 [1:07:29<24:06:30, 1.30s/step] Training: 5%|▍ | 3212/70000 [1:07:31<23:35:36, 1.27s/step] Training: 5%|▍ | 3213/70000 [1:07:32<24:10:01, 1.30s/step] Training: 5%|▍ | 3214/70000 [1:07:33<23:28:21, 1.27s/step] Training: 5%|▍ | 3215/70000 [1:07:34<23:09:02, 1.25s/step] Training: 5%|▍ | 3216/70000 [1:07:36<22:49:09, 1.23s/step] Training: 5%|▍ | 3217/70000 [1:07:37<23:35:47, 1.27s/step] Training: 5%|▍ | 3218/70000 [1:07:38<23:57:48, 1.29s/step] Training: 5%|▍ | 3219/70000 [1:07:40<24:23:10, 1.31s/step] Training: 5%|▍ | 3220/70000 [1:07:41<23:42:22, 1.28s/step] Training: 5%|▍ | 3221/70000 [1:07:42<24:07:31, 1.30s/step] Training: 5%|▍ | 3222/70000 [1:07:43<23:26:30, 1.26s/step] Training: 5%|▍ | 3223/70000 [1:07:45<23:47:13, 1.28s/step] Training: 5%|▍ | 3224/70000 [1:07:46<23:15:46, 1.25s/step] Training: 5%|▍ | 3225/70000 [1:07:47<23:48:33, 1.28s/step] Training: 5%|▍ | 3226/70000 [1:07:48<23:29:56, 1.27s/step] Training: 5%|▍ | 3227/70000 [1:07:50<23:27:04, 1.26s/step] Training: 5%|▍ | 3228/70000 [1:07:51<23:02:47, 1.24s/step] Training: 5%|▍ | 3229/70000 [1:07:52<23:01:18, 1.24s/step] Training: 5%|▍ | 3230/70000 [1:07:53<22:40:37, 1.22s/step] Training: 5%|▍ | 3231/70000 [1:07:55<23:16:29, 1.25s/step] Training: 5%|▍ | 3232/70000 [1:07:56<22:53:40, 1.23s/step] Training: 5%|▍ | 3233/70000 [1:07:57<23:27:44, 1.27s/step] Training: 5%|▍ | 3234/70000 [1:07:58<23:12:22, 1.25s/step] Training: 5%|▍ | 3235/70000 [1:08:00<23:40:27, 1.28s/step] Training: 5%|▍ | 3236/70000 [1:08:01<23:12:47, 1.25s/step] Training: 5%|▍ | 3237/70000 [1:08:02<23:50:42, 1.29s/step] Training: 5%|▍ | 3238/70000 [1:08:03<23:14:50, 1.25s/step] Training: 5%|▍ | 3239/70000 [1:08:05<23:46:05, 1.28s/step] Training: 5%|▍ | 3240/70000 [1:08:06<23:14:56, 1.25s/step] Training: 5%|▍ | 3241/70000 [1:08:07<23:40:11, 1.28s/step] Training: 5%|▍ | 3242/70000 [1:08:09<23:56:57, 1.29s/step] Training: 5%|▍ | 3243/70000 [1:08:10<24:13:48, 1.31s/step] Training: 5%|▍ | 3244/70000 [1:08:11<23:36:04, 1.27s/step] Training: 5%|▍ | 3245/70000 [1:08:13<24:06:04, 1.30s/step] Training: 5%|▍ | 3246/70000 [1:08:14<23:26:01, 1.26s/step] Training: 5%|▍ | 3247/70000 [1:08:15<23:08:49, 1.25s/step] Training: 5%|▍ | 3248/70000 [1:08:16<22:48:16, 1.23s/step] Training: 5%|▍ | 3249/70000 [1:08:18<23:39:10, 1.28s/step] Training: 5%|▍ | 3250/70000 [1:08:19<23:58:06, 1.29s/step] Training: 5%|▍ | 3251/70000 [1:08:20<24:29:13, 1.32s/step] Training: 5%|▍ | 3252/70000 [1:08:21<23:45:40, 1.28s/step] Training: 5%|▍ | 3253/70000 [1:08:23<24:06:26, 1.30s/step] Training: 5%|▍ | 3254/70000 [1:08:24<23:27:49, 1.27s/step] Training: 5%|▍ | 3255/70000 [1:08:25<23:50:44, 1.29s/step] Training: 5%|▍ | 3256/70000 [1:08:26<23:18:55, 1.26s/step] Training: 5%|▍ | 3257/70000 [1:08:28<23:46:16, 1.28s/step] Training: 5%|▍ | 3258/70000 [1:08:29<23:29:14, 1.27s/step] Training: 5%|▍ | 3259/70000 [1:08:30<23:25:47, 1.26s/step] Training: 5%|▍ | 3260/70000 [1:08:31<23:00:49, 1.24s/step] Training: 5%|▍ | 3261/70000 [1:08:33<22:58:24, 1.24s/step] Training: 5%|▍ | 3262/70000 [1:08:34<22:38:16, 1.22s/step] Training: 5%|▍ | 3263/70000 [1:08:35<23:18:15, 1.26s/step] Training: 5%|▍ | 3264/70000 [1:08:36<22:54:32, 1.24s/step] Training: 5%|▍ | 3265/70000 [1:08:38<23:26:18, 1.26s/step] Training: 5%|▍ | 3266/70000 [1:08:39<23:40:12, 1.28s/step] Training: 5%|▍ | 3267/70000 [1:08:40<23:57:26, 1.29s/step] Training: 5%|▍ | 3268/70000 [1:08:42<23:22:30, 1.26s/step] Training: 5%|▍ | 3269/70000 [1:08:43<23:52:00, 1.29s/step] Training: 5%|▍ | 3270/70000 [1:08:44<23:16:42, 1.26s/step] Training: 5%|▍ | 3271/70000 [1:08:45<22:54:51, 1.24s/step] Training: 5%|▍ | 3272/70000 [1:08:47<23:25:41, 1.26s/step] Training: 5%|▍ | 3273/70000 [1:08:48<23:46:20, 1.28s/step] Training: 5%|▍ | 3274/70000 [1:08:49<24:40:01, 1.33s/step] Training: 5%|▍ | 3275/70000 [1:08:51<24:38:56, 1.33s/step] Training: 5%|▍ | 3276/70000 [1:08:52<23:52:04, 1.29s/step] Training: 5%|▍ | 3277/70000 [1:08:53<24:18:04, 1.31s/step] Training: 5%|▍ | 3278/70000 [1:08:54<23:34:02, 1.27s/step] Training: 5%|▍ | 3279/70000 [1:08:56<23:06:52, 1.25s/step] Training: 5%|▍ | 3280/70000 [1:08:57<23:31:45, 1.27s/step] Training: 5%|▍ | 3281/70000 [1:08:58<24:02:38, 1.30s/step] Training: 5%|▍ | 3282/70000 [1:09:00<24:20:02, 1.31s/step] Training: 5%|▍ | 3283/70000 [1:09:01<24:38:56, 1.33s/step] Training: 5%|▍ | 3284/70000 [1:09:02<23:53:44, 1.29s/step] Training: 5%|▍ | 3285/70000 [1:09:03<23:37:25, 1.27s/step] Training: 5%|▍ | 3286/70000 [1:09:05<23:09:44, 1.25s/step] Training: 5%|▍ | 3287/70000 [1:09:06<23:36:13, 1.27s/step] Training: 5%|▍ | 3288/70000 [1:09:07<23:08:00, 1.25s/step] Training: 5%|▍ | 3289/70000 [1:09:09<23:34:56, 1.27s/step] Training: 5%|▍ | 3290/70000 [1:09:10<23:30:58, 1.27s/step] Training: 5%|▍ | 3291/70000 [1:09:11<23:29:23, 1.27s/step] Training: 5%|▍ | 3292/70000 [1:09:12<23:03:58, 1.24s/step] Training: 5%|▍ | 3293/70000 [1:09:13<23:00:43, 1.24s/step] Training: 5%|▍ | 3294/70000 [1:09:15<22:39:30, 1.22s/step] Training: 5%|▍ | 3295/70000 [1:09:16<23:18:56, 1.26s/step] Training: 5%|▍ | 3296/70000 [1:09:17<22:56:37, 1.24s/step] Training: 5%|▍ | 3297/70000 [1:09:19<23:26:04, 1.26s/step] Training: 5%|▍ | 3298/70000 [1:09:20<23:11:08, 1.25s/step] Training: 5%|▍ | 3299/70000 [1:09:21<23:36:26, 1.27s/step] Training: 5%|▍ | 3300/70000 [1:09:22<23:08:25, 1.25s/step]INFO 2026-03-12 21:19:14 ot_train.py:435 step:3K smpl:211K ep:719 epch:2.80 loss:0.287 grdn:18.399 lr:2.5e-05 updt_s:1.249 data_s:0.018 Training: 5%|▍ | 3301/70000 [1:09:23<22:47:59, 1.23s/step] Training: 5%|▍ | 3302/70000 [1:09:25<23:24:16, 1.26s/step] Training: 5%|▍ | 3303/70000 [1:09:26<23:17:27, 1.26s/step] Training: 5%|▍ | 3304/70000 [1:09:27<22:54:49, 1.24s/step] Training: 5%|▍ | 3305/70000 [1:09:29<23:25:40, 1.26s/step] Training: 5%|▍ | 3306/70000 [1:09:30<23:52:39, 1.29s/step] Training: 5%|▍ | 3307/70000 [1:09:31<24:06:30, 1.30s/step] Training: 5%|▍ | 3308/70000 [1:09:32<23:28:30, 1.27s/step] Training: 5%|▍ | 3309/70000 [1:09:34<23:01:35, 1.24s/step] Training: 5%|▍ | 3310/70000 [1:09:35<23:17:26, 1.26s/step] Training: 5%|▍ | 3311/70000 [1:09:36<22:59:56, 1.24s/step] Training: 5%|▍ | 3312/70000 [1:09:37<22:41:32, 1.22s/step] Training: 5%|▍ | 3313/70000 [1:09:39<23:24:57, 1.26s/step] Training: 5%|▍ | 3314/70000 [1:09:40<23:48:23, 1.29s/step] Training: 5%|▍ | 3315/70000 [1:09:41<24:15:19, 1.31s/step] Training: 5%|▍ | 3316/70000 [1:09:43<23:34:54, 1.27s/step] Training: 5%|▍ | 3317/70000 [1:09:44<23:04:56, 1.25s/step] Training: 5%|▍ | 3318/70000 [1:09:45<22:53:44, 1.24s/step] Training: 5%|▍ | 3319/70000 [1:09:46<23:22:12, 1.26s/step] Training: 5%|▍ | 3320/70000 [1:09:47<22:56:55, 1.24s/step] Training: 5%|▍ | 3321/70000 [1:09:49<23:23:51, 1.26s/step] Training: 5%|▍ | 3322/70000 [1:09:50<23:15:14, 1.26s/step] Training: 5%|▍ | 3323/70000 [1:09:51<23:14:38, 1.25s/step] Training: 5%|▍ | 3324/70000 [1:09:52<22:51:36, 1.23s/step] Training: 5%|▍ | 3325/70000 [1:09:54<22:35:53, 1.22s/step] Training: 5%|▍ | 3326/70000 [1:09:55<23:19:35, 1.26s/step] Training: 5%|▍ | 3327/70000 [1:09:56<23:37:38, 1.28s/step] Training: 5%|▍ | 3328/70000 [1:09:57<23:07:41, 1.25s/step] Training: 5%|▍ | 3329/70000 [1:09:59<23:32:49, 1.27s/step] Training: 5%|▍ | 3330/70000 [1:10:00<23:16:33, 1.26s/step] Training: 5%|▍ | 3331/70000 [1:10:01<23:43:17, 1.28s/step] Training: 5%|▍ | 3332/70000 [1:10:03<23:12:44, 1.25s/step] Training: 5%|▍ | 3333/70000 [1:10:04<22:51:00, 1.23s/step] Training: 5%|▍ | 3334/70000 [1:10:05<23:33:20, 1.27s/step] Training: 5%|▍ | 3335/70000 [1:10:06<23:11:11, 1.25s/step] Training: 5%|▍ | 3336/70000 [1:10:07<22:48:39, 1.23s/step] Training: 5%|▍ | 3337/70000 [1:10:09<23:20:00, 1.26s/step] Training: 5%|▍ | 3338/70000 [1:10:10<23:46:08, 1.28s/step] Training: 5%|▍ | 3339/70000 [1:10:11<24:01:13, 1.30s/step] Training: 5%|▍ | 3340/70000 [1:10:13<24:10:20, 1.31s/step] Training: 5%|▍ | 3341/70000 [1:10:14<23:31:05, 1.27s/step] Training: 5%|▍ | 3342/70000 [1:10:15<23:29:57, 1.27s/step] Training: 5%|▍ | 3343/70000 [1:10:16<23:04:40, 1.25s/step] Training: 5%|▍ | 3344/70000 [1:10:18<22:45:21, 1.23s/step] Training: 5%|▍ | 3345/70000 [1:10:19<23:32:41, 1.27s/step] Training: 5%|▍ | 3346/70000 [1:10:20<23:53:33, 1.29s/step] Training: 5%|▍ | 3347/70000 [1:10:22<23:30:31, 1.27s/step] Training: 5%|▍ | 3348/70000 [1:10:23<23:21:43, 1.26s/step] Training: 5%|▍ | 3349/70000 [1:10:24<22:59:32, 1.24s/step] Training: 5%|▍ | 3350/70000 [1:10:25<23:36:39, 1.28s/step] Training: 5%|▍ | 3351/70000 [1:10:27<23:49:45, 1.29s/step] Training: 5%|▍ | 3352/70000 [1:10:28<23:17:28, 1.26s/step] Training: 5%|▍ | 3353/70000 [1:10:29<23:00:04, 1.24s/step] Training: 5%|▍ | 3354/70000 [1:10:30<23:28:02, 1.27s/step] Training: 5%|▍ | 3355/70000 [1:10:32<23:10:11, 1.25s/step] Training: 5%|▍ | 3356/70000 [1:10:33<22:56:26, 1.24s/step] Training: 5%|▍ | 3357/70000 [1:10:34<22:41:22, 1.23s/step] Training: 5%|▍ | 3358/70000 [1:10:35<23:26:19, 1.27s/step] Training: 5%|▍ | 3359/70000 [1:10:37<23:43:22, 1.28s/step] Training: 5%|▍ | 3360/70000 [1:10:38<23:12:57, 1.25s/step] Training: 5%|▍ | 3361/70000 [1:10:39<23:36:09, 1.28s/step] Training: 5%|▍ | 3362/70000 [1:10:41<23:54:17, 1.29s/step] Training: 5%|▍ | 3363/70000 [1:10:42<24:07:26, 1.30s/step] Training: 5%|▍ | 3364/70000 [1:10:43<24:14:25, 1.31s/step] Training: 5%|▍ | 3365/70000 [1:10:44<23:34:47, 1.27s/step] Training: 5%|▍ | 3366/70000 [1:10:46<23:24:55, 1.27s/step] Training: 5%|▍ | 3367/70000 [1:10:47<23:12:43, 1.25s/step] Training: 5%|▍ | 3368/70000 [1:10:48<22:49:53, 1.23s/step] Training: 5%|▍ | 3369/70000 [1:10:49<23:20:05, 1.26s/step] Training: 5%|▍ | 3370/70000 [1:10:51<23:42:57, 1.28s/step] Training: 5%|▍ | 3371/70000 [1:10:52<23:58:09, 1.30s/step] Training: 5%|▍ | 3372/70000 [1:10:53<24:07:02, 1.30s/step] Training: 5%|▍ | 3373/70000 [1:10:55<23:29:09, 1.27s/step] Training: 5%|▍ | 3374/70000 [1:10:56<23:17:08, 1.26s/step] Training: 5%|▍ | 3375/70000 [1:10:57<23:01:14, 1.24s/step] Training: 5%|▍ | 3376/70000 [1:10:58<22:42:18, 1.23s/step] Training: 5%|▍ | 3377/70000 [1:10:59<22:43:30, 1.23s/step] Training: 5%|▍ | 3378/70000 [1:11:01<23:27:00, 1.27s/step] Training: 5%|▍ | 3379/70000 [1:11:02<23:16:10, 1.26s/step] Training: 5%|▍ | 3380/70000 [1:11:03<23:37:45, 1.28s/step] Training: 5%|▍ | 3381/70000 [1:11:04<23:08:01, 1.25s/step] Training: 5%|▍ | 3382/70000 [1:11:06<23:42:13, 1.28s/step] Training: 5%|▍ | 3383/70000 [1:11:07<23:54:22, 1.29s/step] Training: 5%|▍ | 3384/70000 [1:11:08<23:21:11, 1.26s/step] Training: 5%|▍ | 3385/70000 [1:11:10<23:01:37, 1.24s/step] Training: 5%|▍ | 3386/70000 [1:11:11<23:44:36, 1.28s/step] Training: 5%|▍ | 3387/70000 [1:11:12<23:19:17, 1.26s/step] Training: 5%|▍ | 3388/70000 [1:11:13<23:01:46, 1.24s/step] Training: 5%|▍ | 3389/70000 [1:11:15<22:45:15, 1.23s/step] Training: 5%|▍ | 3390/70000 [1:11:16<23:29:40, 1.27s/step] Training: 5%|▍ | 3391/70000 [1:11:17<23:46:30, 1.28s/step] Training: 5%|▍ | 3392/70000 [1:11:18<23:15:23, 1.26s/step] Training: 5%|▍ | 3393/70000 [1:11:20<23:40:03, 1.28s/step] Training: 5%|▍ | 3394/70000 [1:11:21<23:24:54, 1.27s/step] Training: 5%|▍ | 3395/70000 [1:11:22<24:21:06, 1.32s/step] Training: 5%|▍ | 3396/70000 [1:11:24<24:24:58, 1.32s/step] Training: 5%|▍ | 3397/70000 [1:11:25<23:40:40, 1.28s/step] Training: 5%|▍ | 3398/70000 [1:11:26<23:27:18, 1.27s/step] Training: 5%|▍ | 3399/70000 [1:11:27<23:16:51, 1.26s/step] Training: 5%|▍ | 3400/70000 [1:11:29<22:55:24, 1.24s/step]INFO 2026-03-12 21:21:21 ot_train.py:435 step:3K smpl:218K ep:741 epch:2.88 loss:0.304 grdn:18.882 lr:2.5e-05 updt_s:1.243 data_s:0.019 Training: 5%|▍ | 3401/70000 [1:11:30<23:22:59, 1.26s/step] Training: 5%|▍ | 3402/70000 [1:11:31<23:44:26, 1.28s/step] Training: 5%|▍ | 3403/70000 [1:11:33<24:02:33, 1.30s/step] Training: 5%|▍ | 3404/70000 [1:11:34<24:11:23, 1.31s/step] Training: 5%|▍ | 3405/70000 [1:11:35<23:32:44, 1.27s/step] Training: 5%|▍ | 3406/70000 [1:11:36<23:28:46, 1.27s/step] Training: 5%|▍ | 3407/70000 [1:11:38<23:09:47, 1.25s/step] Training: 5%|▍ | 3408/70000 [1:11:39<22:48:30, 1.23s/step] Training: 5%|▍ | 3409/70000 [1:11:40<22:44:08, 1.23s/step] Training: 5%|▍ | 3410/70000 [1:11:41<23:19:27, 1.26s/step] Training: 5%|▍ | 3411/70000 [1:11:43<23:07:45, 1.25s/step] Training: 5%|▍ | 3412/70000 [1:11:44<23:31:52, 1.27s/step] Training: 5%|▍ | 3413/70000 [1:11:45<23:05:16, 1.25s/step] Training: 5%|▍ | 3414/70000 [1:11:46<23:45:10, 1.28s/step] Training: 5%|▍ | 3415/70000 [1:11:48<23:09:53, 1.25s/step] Training: 5%|▍ | 3416/70000 [1:11:49<23:34:00, 1.27s/step] Training: 5%|▍ | 3417/70000 [1:11:50<23:10:45, 1.25s/step] Training: 5%|▍ | 3418/70000 [1:11:51<23:12:31, 1.25s/step] Training: 5%|▍ | 3419/70000 [1:11:53<23:01:12, 1.24s/step] Training: 5%|▍ | 3420/70000 [1:11:54<22:51:56, 1.24s/step] Training: 5%|▍ | 3421/70000 [1:11:55<22:37:06, 1.22s/step] Training: 5%|▍ | 3422/70000 [1:11:56<23:24:37, 1.27s/step] Training: 5%|▍ | 3423/70000 [1:11:58<22:55:12, 1.24s/step] Training: 5%|▍ | 3424/70000 [1:11:59<22:57:24, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=43699 Training: 5%|▍ | 3425/70000 [1:12:00<23:23:10, 1.26s/step] Training: 5%|▍ | 3426/70000 [1:12:01<23:14:00, 1.26s/step] Training: 5%|▍ | 3427/70000 [1:12:03<24:09:39, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57386 Training: 5%|▍ | 3428/70000 [1:12:04<24:17:38, 1.31s/step] Training: 5%|▍ | 3429/70000 [1:12:05<23:36:08, 1.28s/step] Training: 5%|▍ | 3430/70000 [1:12:07<23:24:54, 1.27s/step] Training: 5%|▍ | 3431/70000 [1:12:08<22:58:07, 1.24s/step] Training: 5%|▍ | 3432/70000 [1:12:09<22:46:12, 1.23s/step] Training: 5%|▍ | 3433/70000 [1:12:10<23:16:11, 1.26s/step] Training: 5%|▍ | 3434/70000 [1:12:12<23:42:58, 1.28s/step] Training: 5%|▍ | 3435/70000 [1:12:13<24:25:23, 1.32s/step] Training: 5%|▍ | 3436/70000 [1:12:14<24:27:50, 1.32s/step] Training: 5%|▍ | 3437/70000 [1:12:16<23:43:28, 1.28s/step] Training: 5%|▍ | 3438/70000 [1:12:17<23:31:06, 1.27s/step] Training: 5%|▍ | 3439/70000 [1:12:18<23:00:27, 1.24s/step] Training: 5%|▍ | 3440/70000 [1:12:19<23:28:24, 1.27s/step] Training: 5%|▍ | 3441/70000 [1:12:21<23:22:59, 1.26s/step] Training: 5%|▍ | 3442/70000 [1:12:22<23:51:24, 1.29s/step] Training: 5%|▍ | 3443/70000 [1:12:23<23:54:13, 1.29s/step] Training: 5%|▍ | 3444/70000 [1:12:25<24:07:17, 1.30s/step] Training: 5%|▍ | 3445/70000 [1:12:26<23:28:37, 1.27s/step] Training: 5%|▍ | 3446/70000 [1:12:27<24:00:06, 1.30s/step] Training: 5%|▍ | 3447/70000 [1:12:28<23:20:44, 1.26s/step] Training: 5%|▍ | 3448/70000 [1:12:30<23:42:55, 1.28s/step] Training: 5%|▍ | 3449/70000 [1:12:31<23:20:19, 1.26s/step] Training: 5%|▍ | 3450/70000 [1:12:32<23:55:07, 1.29s/step] Training: 5%|▍ | 3451/70000 [1:12:33<23:26:49, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57386 Training: 5%|▍ | 3452/70000 [1:12:35<23:04:59, 1.25s/step] Training: 5%|▍ | 3453/70000 [1:12:36<22:45:55, 1.23s/step] Training: 5%|▍ | 3454/70000 [1:12:37<23:26:33, 1.27s/step] Training: 5%|▍ | 3455/70000 [1:12:38<22:55:49, 1.24s/step] Training: 5%|▍ | 3456/70000 [1:12:40<23:24:23, 1.27s/step] Training: 5%|▍ | 3457/70000 [1:12:41<23:58:31, 1.30s/step] Training: 5%|▍ | 3458/70000 [1:12:42<23:39:57, 1.28s/step] Training: 5%|▍ | 3459/70000 [1:12:44<23:56:43, 1.30s/step] Training: 5%|▍ | 3460/70000 [1:12:45<24:08:04, 1.31s/step] Training: 5%|▍ | 3461/70000 [1:12:46<23:28:53, 1.27s/step] Training: 5%|▍ | 3462/70000 [1:12:47<23:56:27, 1.30s/step] Training: 5%|▍ | 3463/70000 [1:12:49<23:18:28, 1.26s/step] Training: 5%|▍ | 3464/70000 [1:12:50<23:06:19, 1.25s/step] Training: 5%|▍ | 3465/70000 [1:12:51<23:36:06, 1.28s/step] Training: 5%|▍ | 3466/70000 [1:12:52<23:09:15, 1.25s/step] Training: 5%|▍ | 3467/70000 [1:12:54<24:17:49, 1.31s/step] Training: 5%|▍ | 3468/70000 [1:12:55<24:20:37, 1.32s/step] Training: 5%|▍ | 3469/70000 [1:12:56<23:39:21, 1.28s/step] Training: 5%|▍ | 3470/70000 [1:12:58<23:32:33, 1.27s/step] Training: 5%|▍ | 3471/70000 [1:12:59<23:02:03, 1.25s/step] Training: 5%|▍ | 3472/70000 [1:13:00<23:27:47, 1.27s/step] Training: 5%|▍ | 3473/70000 [1:13:01<23:16:48, 1.26s/step] Training: 5%|▍ | 3474/70000 [1:13:03<23:41:50, 1.28s/step] Training: 5%|▍ | 3475/70000 [1:13:04<23:32:26, 1.27s/step] Training: 5%|▍ | 3476/70000 [1:13:05<23:53:33, 1.29s/step] Training: 5%|▍ | 3477/70000 [1:13:06<23:21:44, 1.26s/step] Training: 5%|▍ | 3478/70000 [1:13:08<24:17:37, 1.31s/step] Training: 5%|▍ | 3479/70000 [1:13:09<23:32:41, 1.27s/step] Training: 5%|▍ | 3480/70000 [1:13:10<23:49:37, 1.29s/step] Training: 5%|▍ | 3481/70000 [1:13:12<23:24:26, 1.27s/step] Training: 5%|▍ | 3482/70000 [1:13:13<23:16:09, 1.26s/step] Training: 5%|▍ | 3483/70000 [1:13:14<23:35:09, 1.28s/step] Training: 5%|▍ | 3484/70000 [1:13:15<23:13:59, 1.26s/step] Training: 5%|▍ | 3485/70000 [1:13:17<22:51:25, 1.24s/step] Training: 5%|▍ | 3486/70000 [1:13:18<23:33:26, 1.28s/step] Training: 5%|▍ | 3487/70000 [1:13:19<23:01:12, 1.25s/step] Training: 5%|▍ | 3488/70000 [1:13:20<23:30:43, 1.27s/step] Training: 5%|▍ | 3489/70000 [1:13:22<23:50:20, 1.29s/step] Training: 5%|▍ | 3490/70000 [1:13:23<23:27:43, 1.27s/step] Training: 5%|▍ | 3491/70000 [1:13:24<23:46:24, 1.29s/step] Training: 5%|▍ | 3492/70000 [1:13:26<24:01:36, 1.30s/step] Training: 5%|▍ | 3493/70000 [1:13:27<23:24:38, 1.27s/step] Training: 5%|▍ | 3494/70000 [1:13:28<23:17:40, 1.26s/step] Training: 5%|▍ | 3495/70000 [1:13:29<22:52:02, 1.24s/step] Training: 5%|▍ | 3496/70000 [1:13:31<22:43:39, 1.23s/step] Training: 5%|▍ | 3497/70000 [1:13:32<23:19:09, 1.26s/step] Training: 5%|▍ | 3498/70000 [1:13:33<23:45:59, 1.29s/step] Training: 5%|▍ | 3499/70000 [1:13:35<24:13:18, 1.31s/step] Training: 5%|▌ | 3500/70000 [1:13:36<24:20:09, 1.32s/step]INFO 2026-03-12 21:23:28 ot_train.py:435 step:4K smpl:224K ep:762 epch:2.97 loss:0.300 grdn:18.877 lr:2.5e-05 updt_s:1.252 data_s:0.018 Training: 5%|▌ | 3501/70000 [1:13:37<23:38:56, 1.28s/step] Training: 5%|▌ | 3502/70000 [1:13:38<23:25:58, 1.27s/step] Training: 5%|▌ | 3503/70000 [1:13:40<22:57:35, 1.24s/step] Training: 5%|▌ | 3504/70000 [1:13:41<23:23:50, 1.27s/step] Training: 5%|▌ | 3505/70000 [1:13:42<23:07:50, 1.25s/step] Training: 5%|▌ | 3506/70000 [1:13:43<23:32:35, 1.27s/step] Training: 5%|▌ | 3507/70000 [1:13:45<23:16:07, 1.26s/step] Training: 5%|▌ | 3508/70000 [1:13:46<23:41:17, 1.28s/step] Training: 5%|▌ | 3509/70000 [1:13:47<23:10:00, 1.25s/step] Training: 5%|▌ | 3510/70000 [1:13:48<23:40:22, 1.28s/step] Training: 5%|▌ | 3511/70000 [1:13:50<23:06:36, 1.25s/step] Training: 5%|▌ | 3512/70000 [1:13:51<23:30:49, 1.27s/step] Training: 5%|▌ | 3513/70000 [1:13:52<23:09:20, 1.25s/step] Training: 5%|▌ | 3514/70000 [1:13:53<23:01:32, 1.25s/step] Training: 5%|▌ | 3515/70000 [1:13:55<23:26:15, 1.27s/step] Training: 5%|▌ | 3516/70000 [1:13:56<23:09:51, 1.25s/step] Training: 5%|▌ | 3517/70000 [1:13:57<22:47:19, 1.23s/step] Training: 5%|▌ | 3518/70000 [1:13:59<23:28:50, 1.27s/step] Training: 5%|▌ | 3519/70000 [1:14:00<22:58:07, 1.24s/step] Training: 5%|▌ | 3520/70000 [1:14:01<23:24:16, 1.27s/step] Training: 5%|▌ | 3521/70000 [1:14:02<23:42:42, 1.28s/step] Training: 5%|▌ | 3522/70000 [1:14:04<23:26:26, 1.27s/step] Training: 5%|▌ | 3523/70000 [1:14:05<23:46:51, 1.29s/step] Training: 5%|▌ | 3524/70000 [1:14:06<23:13:44, 1.26s/step] Training: 5%|▌ | 3525/70000 [1:14:07<23:33:17, 1.28s/step] Training: 5%|▌ | 3526/70000 [1:14:09<23:22:19, 1.27s/step] Training: 5%|▌ | 3527/70000 [1:14:10<22:58:42, 1.24s/step] Training: 5%|▌ | 3528/70000 [1:14:11<22:46:16, 1.23s/step] Training: 5%|▌ | 3529/70000 [1:14:12<23:15:12, 1.26s/step] Training: 5%|▌ | 3530/70000 [1:14:14<23:37:39, 1.28s/step] Training: 5%|▌ | 3531/70000 [1:14:15<23:22:50, 1.27s/step] Training: 5%|▌ | 3532/70000 [1:14:16<23:45:04, 1.29s/step] Training: 5%|▌ | 3533/70000 [1:14:17<23:13:16, 1.26s/step] Training: 5%|▌ | 3534/70000 [1:14:19<23:07:17, 1.25s/step] Training: 5%|▌ | 3535/70000 [1:14:20<22:41:48, 1.23s/step] Training: 5%|▌ | 3536/70000 [1:14:21<23:14:41, 1.26s/step] Training: 5%|▌ | 3537/70000 [1:14:22<23:05:51, 1.25s/step] Training: 5%|▌ | 3538/70000 [1:14:24<23:33:23, 1.28s/step] Training: 5%|▌ | 3539/70000 [1:14:25<23:27:13, 1.27s/step] Training: 5%|▌ | 3540/70000 [1:14:27<28:39:54, 1.55s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 5%|▌ | 3541/70000 [1:14:31<41:12:59, 2.23s/step] Training: 5%|▌ | 3542/70000 [1:14:32<36:40:29, 1.99s/step] Training: 5%|▌ | 3543/70000 [1:14:34<32:15:43, 1.75s/step] Training: 5%|▌ | 3544/70000 [1:14:35<30:10:46, 1.63s/step] Training: 5%|▌ | 3545/70000 [1:14:36<28:06:12, 1.52s/step] Training: 5%|▌ | 3546/70000 [1:14:38<26:56:06, 1.46s/step] Training: 5%|▌ | 3547/70000 [1:14:39<26:34:48, 1.44s/step] Training: 5%|▌ | 3548/70000 [1:14:40<26:15:28, 1.42s/step] Training: 5%|▌ | 3549/70000 [1:14:42<24:58:34, 1.35s/step] Training: 5%|▌ | 3550/70000 [1:14:43<25:01:31, 1.36s/step] Training: 5%|▌ | 3551/70000 [1:14:44<24:03:50, 1.30s/step] Training: 5%|▌ | 3552/70000 [1:14:45<24:14:35, 1.31s/step] Training: 5%|▌ | 3553/70000 [1:14:47<24:21:21, 1.32s/step] Training: 5%|▌ | 3554/70000 [1:14:48<23:59:29, 1.30s/step] Training: 5%|▌ | 3555/70000 [1:14:49<24:17:12, 1.32s/step] Training: 5%|▌ | 3556/70000 [1:14:51<23:47:10, 1.29s/step] Training: 5%|▌ | 3557/70000 [1:14:52<23:18:14, 1.26s/step] Training: 5%|▌ | 3558/70000 [1:14:53<23:14:26, 1.26s/step] Training: 5%|▌ | 3559/70000 [1:14:54<22:51:50, 1.24s/step] Training: 5%|▌ | 3560/70000 [1:14:55<22:43:41, 1.23s/step] Training: 5%|▌ | 3561/70000 [1:14:57<23:17:29, 1.26s/step] Training: 5%|▌ | 3562/70000 [1:14:58<23:42:51, 1.28s/step] Training: 5%|▌ | 3563/70000 [1:15:00<24:14:06, 1.31s/step] Training: 5%|▌ | 3564/70000 [1:15:01<24:25:27, 1.32s/step] Training: 5%|▌ | 3565/70000 [1:15:02<23:42:07, 1.28s/step] Training: 5%|▌ | 3566/70000 [1:15:03<23:24:47, 1.27s/step] Training: 5%|▌ | 3567/70000 [1:15:04<22:55:30, 1.24s/step] Training: 5%|▌ | 3568/70000 [1:15:06<23:26:43, 1.27s/step] Training: 5%|▌ | 3569/70000 [1:15:07<23:11:15, 1.26s/step] Training: 5%|▌ | 3570/70000 [1:15:08<23:40:11, 1.28s/step] Training: 5%|▌ | 3571/70000 [1:15:10<23:28:43, 1.27s/step] Training: 5%|▌ | 3572/70000 [1:15:11<23:50:53, 1.29s/step] Training: 5%|▌ | 3573/70000 [1:15:12<23:18:05, 1.26s/step] Training: 5%|▌ | 3574/70000 [1:15:14<23:54:26, 1.30s/step] Training: 5%|▌ | 3575/70000 [1:15:15<23:17:51, 1.26s/step] Training: 5%|▌ | 3576/70000 [1:15:16<23:38:38, 1.28s/step] Training: 5%|▌ | 3577/70000 [1:15:17<23:14:55, 1.26s/step] Training: 5%|▌ | 3578/70000 [1:15:18<23:09:29, 1.26s/step] Training: 5%|▌ | 3579/70000 [1:15:20<23:36:36, 1.28s/step] Training: 5%|▌ | 3580/70000 [1:15:21<23:53:13, 1.29s/step] Training: 5%|▌ | 3581/70000 [1:15:22<23:19:21, 1.26s/step] Training: 5%|▌ | 3582/70000 [1:15:24<23:52:29, 1.29s/step] Training: 5%|▌ | 3583/70000 [1:15:25<23:13:41, 1.26s/step] Training: 5%|▌ | 3584/70000 [1:15:26<23:34:00, 1.28s/step] Training: 5%|▌ | 3585/70000 [1:15:28<23:51:56, 1.29s/step] Training: 5%|▌ | 3586/70000 [1:15:29<23:27:44, 1.27s/step] Training: 5%|▌ | 3587/70000 [1:15:30<23:46:27, 1.29s/step] Training: 5%|▌ | 3588/70000 [1:15:31<23:23:47, 1.27s/step] Training: 5%|▌ | 3589/70000 [1:15:33<22:58:33, 1.25s/step] Training: 5%|▌ | 3590/70000 [1:15:34<23:34:09, 1.28s/step] Training: 5%|▌ | 3591/70000 [1:15:35<23:02:01, 1.25s/step] Training: 5%|▌ | 3592/70000 [1:15:36<22:48:53, 1.24s/step] Training: 5%|▌ | 3593/70000 [1:15:38<23:21:33, 1.27s/step] Training: 5%|▌ | 3594/70000 [1:15:39<23:41:35, 1.28s/step] Training: 5%|▌ | 3595/70000 [1:15:40<23:24:17, 1.27s/step] Training: 5%|▌ | 3596/70000 [1:15:41<23:43:09, 1.29s/step] Training: 5%|▌ | 3597/70000 [1:15:43<23:11:27, 1.26s/step] Training: 5%|▌ | 3598/70000 [1:15:44<23:06:53, 1.25s/step] Training: 5%|▌ | 3599/70000 [1:15:45<22:42:17, 1.23s/step] Training: 5%|▌ | 3600/70000 [1:15:46<23:12:02, 1.26s/step]INFO 2026-03-12 21:25:39 ot_train.py:435 step:4K smpl:230K ep:784 epch:3.05 loss:0.259 grdn:17.155 lr:2.5e-05 updt_s:1.252 data_s:0.051 Training: 5%|▌ | 3601/70000 [1:15:48<22:59:48, 1.25s/step] Training: 5%|▌ | 3602/70000 [1:15:49<23:24:03, 1.27s/step] Training: 5%|▌ | 3603/70000 [1:15:50<23:37:40, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=69852 Training: 5%|▌ | 3604/70000 [1:15:52<23:53:31, 1.30s/step] Training: 5%|▌ | 3605/70000 [1:15:53<23:18:29, 1.26s/step] Training: 5%|▌ | 3606/70000 [1:15:54<23:48:13, 1.29s/step] Training: 5%|▌ | 3607/70000 [1:15:55<23:12:02, 1.26s/step] Training: 5%|▌ | 3608/70000 [1:15:57<23:33:39, 1.28s/step] Training: 5%|▌ | 3609/70000 [1:15:58<23:09:47, 1.26s/step] Training: 5%|▌ | 3610/70000 [1:15:59<23:01:50, 1.25s/step] Training: 5%|▌ | 3611/70000 [1:16:01<24:07:12, 1.31s/step] Training: 5%|▌ | 3612/70000 [1:16:02<24:19:06, 1.32s/step] Training: 5%|▌ | 3613/70000 [1:16:03<23:35:56, 1.28s/step] Training: 5%|▌ | 3614/70000 [1:16:04<23:59:37, 1.30s/step] Training: 5%|▌ | 3615/70000 [1:16:06<23:18:42, 1.26s/step] Training: 5%|▌ | 3616/70000 [1:16:07<23:40:56, 1.28s/step] Training: 5%|▌ | 3617/70000 [1:16:08<23:54:27, 1.30s/step] Training: 5%|▌ | 3618/70000 [1:16:09<23:26:15, 1.27s/step] Training: 5%|▌ | 3619/70000 [1:16:11<23:47:17, 1.29s/step] Training: 5%|▌ | 3620/70000 [1:16:12<23:21:40, 1.27s/step] Training: 5%|▌ | 3621/70000 [1:16:13<22:56:32, 1.24s/step] Training: 5%|▌ | 3622/70000 [1:16:14<23:01:20, 1.25s/step] Training: 5%|▌ | 3623/70000 [1:16:16<22:43:27, 1.23s/step] Training: 5%|▌ | 3624/70000 [1:16:17<22:37:28, 1.23s/step] Training: 5%|▌ | 3625/70000 [1:16:18<23:10:40, 1.26s/step] Training: 5%|▌ | 3626/70000 [1:16:19<22:49:16, 1.24s/step] Training: 5%|▌ | 3627/70000 [1:16:21<24:00:00, 1.30s/step] Training: 5%|▌ | 3628/70000 [1:16:22<24:09:17, 1.31s/step] Training: 5%|▌ | 3629/70000 [1:16:23<23:31:20, 1.28s/step] Training: 5%|▌ | 3630/70000 [1:16:25<23:21:37, 1.27s/step] Training: 5%|▌ | 3631/70000 [1:16:26<22:53:46, 1.24s/step] Training: 5%|▌ | 3632/70000 [1:16:27<23:23:15, 1.27s/step] Training: 5%|▌ | 3633/70000 [1:16:28<23:12:47, 1.26s/step] Training: 5%|▌ | 3634/70000 [1:16:30<22:49:13, 1.24s/step] Training: 5%|▌ | 3635/70000 [1:16:31<23:32:04, 1.28s/step] Training: 5%|▌ | 3636/70000 [1:16:32<23:51:18, 1.29s/step] Training: 5%|▌ | 3637/70000 [1:16:33<23:17:52, 1.26s/step] Training: 5%|▌ | 3638/70000 [1:16:35<23:47:31, 1.29s/step] Training: 5%|▌ | 3639/70000 [1:16:36<23:10:55, 1.26s/step] Training: 5%|▌ | 3640/70000 [1:16:37<23:33:22, 1.28s/step] Training: 5%|▌ | 3641/70000 [1:16:39<23:13:17, 1.26s/step] Training: 5%|▌ | 3642/70000 [1:16:40<22:58:16, 1.25s/step] Training: 5%|▌ | 3643/70000 [1:16:41<23:28:13, 1.27s/step] Training: 5%|▌ | 3644/70000 [1:16:42<23:47:54, 1.29s/step] Training: 5%|▌ | 3645/70000 [1:16:44<23:15:10, 1.26s/step] Training: 5%|▌ | 3646/70000 [1:16:45<23:48:28, 1.29s/step] Training: 5%|▌ | 3647/70000 [1:16:46<23:10:57, 1.26s/step] Training: 5%|▌ | 3648/70000 [1:16:47<23:36:20, 1.28s/step] Training: 5%|▌ | 3649/70000 [1:16:49<23:53:25, 1.30s/step] Training: 5%|▌ | 3650/70000 [1:16:50<23:31:37, 1.28s/step] Training: 5%|▌ | 3651/70000 [1:16:51<23:47:27, 1.29s/step] Training: 5%|▌ | 3652/70000 [1:16:53<23:58:45, 1.30s/step] Training: 5%|▌ | 3653/70000 [1:16:54<23:21:30, 1.27s/step] Training: 5%|▌ | 3654/70000 [1:16:55<23:23:47, 1.27s/step] Training: 5%|▌ | 3655/70000 [1:16:56<22:55:42, 1.24s/step] Training: 5%|▌ | 3656/70000 [1:16:58<22:46:10, 1.24s/step] Training: 5%|▌ | 3657/70000 [1:16:59<23:19:51, 1.27s/step] Training: 5%|▌ | 3658/70000 [1:17:00<22:53:47, 1.24s/step] Training: 5%|▌ | 3659/70000 [1:17:01<23:58:44, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=69852 Training: 5%|▌ | 3660/70000 [1:17:03<24:25:16, 1.33s/step] Training: 5%|▌ | 3661/70000 [1:17:04<23:40:12, 1.28s/step] Training: 5%|▌ | 3662/70000 [1:17:05<23:24:25, 1.27s/step] Training: 5%|▌ | 3663/70000 [1:17:06<22:55:41, 1.24s/step] Training: 5%|▌ | 3664/70000 [1:17:08<23:21:58, 1.27s/step] Training: 5%|▌ | 3665/70000 [1:17:09<23:08:36, 1.26s/step] Training: 5%|▌ | 3666/70000 [1:17:10<23:31:02, 1.28s/step] Training: 5%|▌ | 3667/70000 [1:17:12<23:53:42, 1.30s/step] Training: 5%|▌ | 3668/70000 [1:17:13<24:04:26, 1.31s/step] Training: 5%|▌ | 3669/70000 [1:17:14<23:27:21, 1.27s/step] Training: 5%|▌ | 3670/70000 [1:17:16<23:58:56, 1.30s/step] Training: 5%|▌ | 3671/70000 [1:17:17<23:18:06, 1.26s/step] Training: 5%|▌ | 3672/70000 [1:17:18<23:37:01, 1.28s/step] Training: 5%|▌ | 3673/70000 [1:17:19<23:12:12, 1.26s/step] Training: 5%|▌ | 3674/70000 [1:17:21<22:54:07, 1.24s/step] Training: 5%|▌ | 3675/70000 [1:17:22<23:20:07, 1.27s/step] Training: 5%|▌ | 3676/70000 [1:17:23<23:41:34, 1.29s/step] Training: 5%|▌ | 3677/70000 [1:17:24<23:12:07, 1.26s/step] Training: 5%|▌ | 3678/70000 [1:17:26<23:42:56, 1.29s/step] Training: 5%|▌ | 3679/70000 [1:17:27<23:07:18, 1.26s/step] Training: 5%|▌ | 3680/70000 [1:17:28<23:31:34, 1.28s/step] Training: 5%|▌ | 3681/70000 [1:17:30<23:48:24, 1.29s/step] Training: 5%|▌ | 3682/70000 [1:17:31<23:31:11, 1.28s/step] Training: 5%|▌ | 3683/70000 [1:17:32<23:45:42, 1.29s/step] Training: 5%|▌ | 3684/70000 [1:17:33<23:59:49, 1.30s/step] Training: 5%|▌ | 3685/70000 [1:17:35<23:22:34, 1.27s/step] Training: 5%|▌ | 3686/70000 [1:17:36<23:46:52, 1.29s/step] Training: 5%|▌ | 3687/70000 [1:17:37<23:10:36, 1.26s/step] Training: 5%|▌ | 3688/70000 [1:17:38<22:52:46, 1.24s/step] Training: 5%|▌ | 3689/70000 [1:17:40<23:24:17, 1.27s/step] Training: 5%|▌ | 3690/70000 [1:17:41<22:58:09, 1.25s/step] Training: 5%|▌ | 3691/70000 [1:17:42<23:59:57, 1.30s/step] Training: 5%|▌ | 3692/70000 [1:17:44<24:09:19, 1.31s/step] Training: 5%|▌ | 3693/70000 [1:17:45<23:29:14, 1.28s/step] Training: 5%|▌ | 3694/70000 [1:17:46<23:19:41, 1.27s/step] Training: 5%|▌ | 3695/70000 [1:17:47<22:50:46, 1.24s/step] Training: 5%|▌ | 3696/70000 [1:17:49<23:17:33, 1.26s/step] Training: 5%|▌ | 3697/70000 [1:17:50<23:09:06, 1.26s/step] Training: 5%|▌ | 3698/70000 [1:17:51<23:32:41, 1.28s/step] Training: 5%|▌ | 3699/70000 [1:17:52<23:48:27, 1.29s/step] Training: 5%|▌ | 3700/70000 [1:17:54<24:00:56, 1.30s/step]INFO 2026-03-12 21:27:46 ot_train.py:435 step:4K smpl:237K ep:806 epch:3.14 loss:0.253 grdn:18.696 lr:2.5e-05 updt_s:1.253 data_s:0.019 Training: 5%|▌ | 3701/70000 [1:17:55<23:24:08, 1.27s/step] Training: 5%|▌ | 3702/70000 [1:17:56<24:02:57, 1.31s/step] Training: 5%|▌ | 3703/70000 [1:17:58<23:24:13, 1.27s/step] Training: 5%|▌ | 3704/70000 [1:17:59<23:39:06, 1.28s/step] Training: 5%|▌ | 3705/70000 [1:18:00<23:13:36, 1.26s/step] Training: 5%|▌ | 3706/70000 [1:18:01<22:56:49, 1.25s/step] Training: 5%|▌ | 3707/70000 [1:18:03<23:27:08, 1.27s/step] Training: 5%|▌ | 3708/70000 [1:18:04<23:49:49, 1.29s/step] Training: 5%|▌ | 3709/70000 [1:18:05<23:14:33, 1.26s/step] Training: 5%|▌ | 3710/70000 [1:18:07<23:43:17, 1.29s/step] Training: 5%|▌ | 3711/70000 [1:18:08<23:06:40, 1.26s/step] Training: 5%|▌ | 3712/70000 [1:18:09<23:32:44, 1.28s/step] Training: 5%|▌ | 3713/70000 [1:18:10<23:01:58, 1.25s/step] Training: 5%|▌ | 3714/70000 [1:18:12<23:24:21, 1.27s/step] Training: 5%|▌ | 3715/70000 [1:18:13<23:42:56, 1.29s/step] Training: 5%|▌ | 3716/70000 [1:18:14<23:58:17, 1.30s/step] Training: 5%|▌ | 3717/70000 [1:18:15<23:20:19, 1.27s/step] Training: 5%|▌ | 3718/70000 [1:18:17<23:51:18, 1.30s/step] Training: 5%|▌ | 3719/70000 [1:18:18<23:13:16, 1.26s/step] Training: 5%|▌ | 3720/70000 [1:18:19<22:55:43, 1.25s/step] Training: 5%|▌ | 3721/70000 [1:18:20<22:37:48, 1.23s/step] Training: 5%|▌ | 3722/70000 [1:18:22<22:44:12, 1.23s/step] Training: 5%|▌ | 3723/70000 [1:18:23<23:07:38, 1.26s/step] Training: 5%|▌ | 3724/70000 [1:18:24<24:10:54, 1.31s/step] Training: 5%|▌ | 3725/70000 [1:18:26<23:29:01, 1.28s/step] Training: 5%|▌ | 3726/70000 [1:18:27<23:14:51, 1.26s/step] Training: 5%|▌ | 3727/70000 [1:18:28<22:47:47, 1.24s/step] Training: 5%|▌ | 3728/70000 [1:18:29<23:17:41, 1.27s/step] Training: 5%|▌ | 3729/70000 [1:18:30<22:52:39, 1.24s/step] Training: 5%|▌ | 3730/70000 [1:18:32<23:17:34, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10249 Training: 5%|▌ | 3731/70000 [1:18:33<22:58:54, 1.25s/step] Training: 5%|▌ | 3732/70000 [1:18:34<23:56:54, 1.30s/step] Training: 5%|▌ | 3733/70000 [1:18:36<23:19:45, 1.27s/step] Training: 5%|▌ | 3734/70000 [1:18:37<23:50:34, 1.30s/step] Training: 5%|▌ | 3735/70000 [1:18:38<23:12:13, 1.26s/step] Training: 5%|▌ | 3736/70000 [1:18:39<23:34:29, 1.28s/step] Training: 5%|▌ | 3737/70000 [1:18:41<23:04:34, 1.25s/step] Training: 5%|▌ | 3738/70000 [1:18:42<23:34:10, 1.28s/step] Training: 5%|▌ | 3739/70000 [1:18:43<23:51:46, 1.30s/step] Training: 5%|▌ | 3740/70000 [1:18:45<24:42:22, 1.34s/step] Training: 5%|▌ | 3741/70000 [1:18:46<23:51:36, 1.30s/step] Training: 5%|▌ | 3742/70000 [1:18:47<24:12:00, 1.31s/step] Training: 5%|▌ | 3743/70000 [1:18:49<23:27:06, 1.27s/step] Training: 5%|▌ | 3744/70000 [1:18:50<23:43:18, 1.29s/step] Training: 5%|▌ | 3745/70000 [1:18:51<23:11:26, 1.26s/step] Training: 5%|▌ | 3746/70000 [1:18:52<22:57:07, 1.25s/step] Training: 5%|▌ | 3747/70000 [1:18:54<24:05:57, 1.31s/step] Training: 5%|▌ | 3748/70000 [1:18:55<24:15:47, 1.32s/step] Training: 5%|▌ | 3749/70000 [1:18:56<23:34:01, 1.28s/step] Training: 5%|▌ | 3750/70000 [1:18:58<23:58:26, 1.30s/step] Training: 5%|▌ | 3751/70000 [1:18:59<23:17:27, 1.27s/step] Training: 5%|▌ | 3752/70000 [1:19:00<22:57:26, 1.25s/step] Training: 5%|▌ | 3753/70000 [1:19:01<22:37:44, 1.23s/step] Training: 5%|▌ | 3754/70000 [1:19:02<22:25:24, 1.22s/step] Training: 5%|▌ | 3755/70000 [1:19:04<23:28:25, 1.28s/step] Training: 5%|▌ | 3756/70000 [1:19:05<23:53:21, 1.30s/step] Training: 5%|▌ | 3757/70000 [1:19:06<23:19:42, 1.27s/step] Training: 5%|▌ | 3758/70000 [1:19:08<23:14:59, 1.26s/step] Training: 5%|▌ | 3759/70000 [1:19:09<22:47:45, 1.24s/step] Training: 5%|▌ | 3760/70000 [1:19:10<23:15:25, 1.26s/step] Training: 5%|▌ | 3761/70000 [1:19:11<22:51:16, 1.24s/step] Training: 5%|▌ | 3762/70000 [1:19:13<23:16:37, 1.27s/step] Training: 5%|▌ | 3763/70000 [1:19:14<23:11:52, 1.26s/step] Training: 5%|▌ | 3764/70000 [1:19:15<23:34:05, 1.28s/step] Training: 5%|▌ | 3765/70000 [1:19:16<23:05:22, 1.25s/step] Training: 5%|▌ | 3766/70000 [1:19:18<23:40:35, 1.29s/step] Training: 5%|▌ | 3767/70000 [1:19:19<23:05:19, 1.25s/step] Training: 5%|▌ | 3768/70000 [1:19:20<23:34:20, 1.28s/step] Training: 5%|▌ | 3769/70000 [1:19:21<23:03:19, 1.25s/step] Training: 5%|▌ | 3770/70000 [1:19:23<22:50:15, 1.24s/step] Training: 5%|▌ | 3771/70000 [1:19:24<23:23:10, 1.27s/step] Training: 5%|▌ | 3772/70000 [1:19:25<23:57:47, 1.30s/step] Training: 5%|▌ | 3773/70000 [1:19:27<23:20:09, 1.27s/step] Training: 5%|▌ | 3774/70000 [1:19:28<23:54:11, 1.30s/step] Training: 5%|▌ | 3775/70000 [1:19:29<23:14:16, 1.26s/step] Training: 5%|▌ | 3776/70000 [1:19:30<23:34:53, 1.28s/step] Training: 5%|▌ | 3777/70000 [1:19:32<23:03:41, 1.25s/step] Training: 5%|▌ | 3778/70000 [1:19:33<22:54:36, 1.25s/step] Training: 5%|▌ | 3779/70000 [1:19:34<23:25:58, 1.27s/step] Training: 5%|▌ | 3780/70000 [1:19:36<24:21:30, 1.32s/step] Training: 5%|▌ | 3781/70000 [1:19:37<23:36:58, 1.28s/step] Training: 5%|▌ | 3782/70000 [1:19:38<23:24:00, 1.27s/step] Training: 5%|▌ | 3783/70000 [1:19:39<22:56:28, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=69852 Training: 5%|▌ | 3784/70000 [1:19:40<22:43:58, 1.24s/step] Training: 5%|▌ | 3785/70000 [1:19:42<22:28:26, 1.22s/step] Training: 5%|▌ | 3786/70000 [1:19:43<22:18:57, 1.21s/step] Training: 5%|▌ | 3787/70000 [1:19:44<22:49:17, 1.24s/step] Training: 5%|▌ | 3788/70000 [1:19:46<23:50:11, 1.30s/step] Training: 5%|▌ | 3789/70000 [1:19:47<23:15:09, 1.26s/step] Training: 5%|▌ | 3790/70000 [1:19:48<23:15:35, 1.26s/step] Training: 5%|▌ | 3791/70000 [1:19:49<22:48:40, 1.24s/step] Training: 5%|▌ | 3792/70000 [1:19:51<23:14:48, 1.26s/step] Training: 5%|▌ | 3793/70000 [1:19:52<22:49:53, 1.24s/step] Training: 5%|▌ | 3794/70000 [1:19:53<23:17:15, 1.27s/step] Training: 5%|▌ | 3795/70000 [1:19:54<22:56:00, 1.25s/step] Training: 5%|▌ | 3796/70000 [1:19:56<23:27:33, 1.28s/step] Training: 5%|▌ | 3797/70000 [1:19:57<22:59:31, 1.25s/step] Training: 5%|▌ | 3798/70000 [1:19:58<23:34:43, 1.28s/step] Training: 5%|▌ | 3799/70000 [1:19:59<23:00:09, 1.25s/step] Training: 5%|▌ | 3800/70000 [1:20:01<23:25:30, 1.27s/step]INFO 2026-03-12 21:29:53 ot_train.py:435 step:4K smpl:243K ep:828 epch:3.22 loss:0.258 grdn:17.201 lr:2.5e-05 updt_s:1.247 data_s:0.018 Training: 5%|▌ | 3801/70000 [1:20:02<22:57:06, 1.25s/step] Training: 5%|▌ | 3802/70000 [1:20:03<23:23:03, 1.27s/step] Training: 5%|▌ | 3803/70000 [1:20:05<23:56:26, 1.30s/step] Training: 5%|▌ | 3804/70000 [1:20:06<24:20:32, 1.32s/step] Training: 5%|▌ | 3805/70000 [1:20:07<23:35:44, 1.28s/step] Training: 5%|▌ | 3806/70000 [1:20:08<24:04:10, 1.31s/step] Training: 5%|▌ | 3807/70000 [1:20:10<23:21:23, 1.27s/step] Training: 5%|▌ | 3808/70000 [1:20:11<23:38:56, 1.29s/step] Training: 5%|▌ | 3809/70000 [1:20:12<23:06:25, 1.26s/step] Training: 5%|▌ | 3810/70000 [1:20:13<23:32:26, 1.28s/step] Training: 5%|▌ | 3811/70000 [1:20:15<23:51:08, 1.30s/step] Training: 5%|▌ | 3812/70000 [1:20:16<24:05:25, 1.31s/step] Training: 5%|▌ | 3813/70000 [1:20:17<23:25:21, 1.27s/step] Training: 5%|▌ | 3814/70000 [1:20:19<23:55:19, 1.30s/step] Training: 5%|▌ | 3815/70000 [1:20:20<23:14:45, 1.26s/step] Training: 5%|▌ | 3816/70000 [1:20:21<23:00:23, 1.25s/step] Training: 5%|▌ | 3817/70000 [1:20:22<22:39:32, 1.23s/step] Training: 5%|▌ | 3818/70000 [1:20:24<22:29:15, 1.22s/step] Training: 5%|▌ | 3819/70000 [1:20:25<23:27:08, 1.28s/step] Training: 5%|▌ | 3820/70000 [1:20:26<23:44:57, 1.29s/step] Training: 5%|▌ | 3821/70000 [1:20:27<23:12:35, 1.26s/step] Training: 5%|▌ | 3822/70000 [1:20:29<23:04:21, 1.26s/step] Training: 5%|▌ | 3823/70000 [1:20:30<22:40:31, 1.23s/step] Training: 5%|▌ | 3824/70000 [1:20:31<23:17:48, 1.27s/step] Training: 5%|▌ | 3825/70000 [1:20:32<22:55:08, 1.25s/step] Training: 5%|▌ | 3826/70000 [1:20:34<23:20:06, 1.27s/step] Training: 5%|▌ | 3827/70000 [1:20:35<23:39:32, 1.29s/step] Training: 5%|▌ | 3828/70000 [1:20:36<23:51:57, 1.30s/step] Training: 5%|▌ | 3829/70000 [1:20:38<23:17:13, 1.27s/step] Training: 5%|▌ | 3830/70000 [1:20:39<23:49:46, 1.30s/step] Training: 5%|▌ | 3831/70000 [1:20:40<23:11:27, 1.26s/step] Training: 5%|▌ | 3832/70000 [1:20:41<23:33:19, 1.28s/step] Training: 5%|▌ | 3833/70000 [1:20:43<23:05:03, 1.26s/step] Training: 5%|▌ | 3834/70000 [1:20:44<23:26:01, 1.27s/step] Training: 5%|▌ | 3835/70000 [1:20:45<23:59:01, 1.30s/step] Training: 5%|▌ | 3836/70000 [1:20:47<24:20:42, 1.32s/step] Training: 5%|▌ | 3837/70000 [1:20:48<23:35:28, 1.28s/step] Training: 5%|▌ | 3838/70000 [1:20:49<23:57:54, 1.30s/step] Training: 5%|▌ | 3839/70000 [1:20:50<23:17:32, 1.27s/step] Training: 5%|▌ | 3840/70000 [1:20:52<23:02:02, 1.25s/step] Training: 5%|▌ | 3841/70000 [1:20:53<22:41:45, 1.23s/step] Training: 5%|▌ | 3842/70000 [1:20:54<23:10:27, 1.26s/step] Training: 5%|▌ | 3843/70000 [1:20:55<23:33:52, 1.28s/step] Training: 5%|▌ | 3844/70000 [1:20:57<23:52:34, 1.30s/step] Training: 5%|▌ | 3845/70000 [1:20:58<23:15:30, 1.27s/step] Training: 5%|▌ | 3846/70000 [1:20:59<23:46:04, 1.29s/step] Training: 5%|▌ | 3847/70000 [1:21:01<23:07:55, 1.26s/step] Training: 5%|▌ | 3848/70000 [1:21:02<22:52:50, 1.25s/step] Training: 5%|▌ | 3849/70000 [1:21:03<22:34:13, 1.23s/step] Training: 6%|▌ | 3850/70000 [1:21:04<22:30:05, 1.22s/step] Training: 6%|▌ | 3851/70000 [1:21:06<23:19:41, 1.27s/step] Training: 6%|▌ | 3852/70000 [1:21:07<23:43:29, 1.29s/step] Training: 6%|▌ | 3853/70000 [1:21:08<23:09:23, 1.26s/step] Training: 6%|▌ | 3854/70000 [1:21:09<23:10:43, 1.26s/step] Training: 6%|▌ | 3855/70000 [1:21:11<22:43:36, 1.24s/step] Training: 6%|▌ | 3856/70000 [1:21:12<23:12:52, 1.26s/step] Training: 6%|▌ | 3857/70000 [1:21:13<22:50:02, 1.24s/step] Training: 6%|▌ | 3858/70000 [1:21:14<23:15:54, 1.27s/step] Training: 6%|▌ | 3859/70000 [1:21:16<22:59:34, 1.25s/step] Training: 6%|▌ | 3860/70000 [1:21:17<23:55:49, 1.30s/step] Training: 6%|▌ | 3861/70000 [1:21:18<23:18:29, 1.27s/step] Training: 6%|▌ | 3862/70000 [1:21:19<22:51:09, 1.24s/step] Training: 6%|▌ | 3863/70000 [1:21:21<23:24:25, 1.27s/step] Training: 6%|▌ | 3864/70000 [1:21:22<23:43:32, 1.29s/step] Training: 6%|▌ | 3865/70000 [1:21:23<23:10:56, 1.26s/step] Training: 6%|▌ | 3866/70000 [1:21:25<23:32:48, 1.28s/step] Training: 6%|▌ | 3867/70000 [1:21:26<23:49:09, 1.30s/step] Training: 6%|▌ | 3868/70000 [1:21:27<24:38:35, 1.34s/step] Training: 6%|▌ | 3869/70000 [1:21:29<23:49:17, 1.30s/step] Training: 6%|▌ | 3870/70000 [1:21:30<23:13:37, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10249 Training: 6%|▌ | 3871/70000 [1:21:31<23:13:20, 1.26s/step] Training: 6%|▌ | 3872/70000 [1:21:32<23:00:35, 1.25s/step] Training: 6%|▌ | 3873/70000 [1:21:33<22:41:49, 1.24s/step] Training: 6%|▌ | 3874/70000 [1:21:35<23:10:09, 1.26s/step] Training: 6%|▌ | 3875/70000 [1:21:36<23:36:17, 1.29s/step] Training: 6%|▌ | 3876/70000 [1:21:37<23:56:15, 1.30s/step] Training: 6%|▌ | 3877/70000 [1:21:39<23:18:48, 1.27s/step] Training: 6%|▌ | 3878/70000 [1:21:40<22:52:47, 1.25s/step] Training: 6%|▌ | 3879/70000 [1:21:41<22:53:29, 1.25s/step] Training: 6%|▌ | 3880/70000 [1:21:42<22:41:03, 1.24s/step] Training: 6%|▌ | 3881/70000 [1:21:43<22:26:59, 1.22s/step] Training: 6%|▌ | 3882/70000 [1:21:45<22:20:08, 1.22s/step] Training: 6%|▌ | 3883/70000 [1:21:46<22:25:41, 1.22s/step] Training: 6%|▌ | 3884/70000 [1:21:47<23:14:23, 1.27s/step] Training: 6%|▌ | 3885/70000 [1:21:48<22:49:08, 1.24s/step] Training: 6%|▌ | 3886/70000 [1:21:50<22:31:59, 1.23s/step] Training: 6%|▌ | 3887/70000 [1:21:51<23:13:49, 1.26s/step] Training: 6%|▌ | 3888/70000 [1:21:52<23:32:58, 1.28s/step] Training: 6%|▌ | 3889/70000 [1:21:53<23:02:56, 1.26s/step] Training: 6%|▌ | 3890/70000 [1:21:55<23:28:09, 1.28s/step] Training: 6%|▌ | 3891/70000 [1:21:56<23:08:17, 1.26s/step] Training: 6%|▌ | 3892/70000 [1:21:57<23:32:25, 1.28s/step] Training: 6%|▌ | 3893/70000 [1:21:59<23:01:12, 1.25s/step] Training: 6%|▌ | 3894/70000 [1:22:00<22:39:33, 1.23s/step] Training: 6%|▌ | 3895/70000 [1:22:01<23:18:14, 1.27s/step] Training: 6%|▌ | 3896/70000 [1:22:02<23:32:30, 1.28s/step] Training: 6%|▌ | 3897/70000 [1:22:04<23:02:50, 1.26s/step] Training: 6%|▌ | 3898/70000 [1:22:05<23:23:52, 1.27s/step] Training: 6%|▌ | 3899/70000 [1:22:06<23:43:52, 1.29s/step] Training: 6%|▌ | 3900/70000 [1:22:08<24:15:01, 1.32s/step]INFO 2026-03-12 21:32:00 ot_train.py:435 step:4K smpl:250K ep:850 epch:3.31 loss:0.253 grdn:17.941 lr:2.5e-05 updt_s:1.250 data_s:0.018 Training: 6%|▌ | 3901/70000 [1:22:09<23:30:38, 1.28s/step] Training: 6%|▌ | 3902/70000 [1:22:10<23:01:11, 1.25s/step] Training: 6%|▌ | 3903/70000 [1:22:11<23:31:29, 1.28s/step] Training: 6%|▌ | 3904/70000 [1:22:13<23:09:55, 1.26s/step] Training: 6%|▌ | 3905/70000 [1:22:14<22:47:53, 1.24s/step] Training: 6%|▌ | 3906/70000 [1:22:15<23:14:50, 1.27s/step] Training: 6%|▌ | 3907/70000 [1:22:16<23:44:55, 1.29s/step] Training: 6%|▌ | 3908/70000 [1:22:18<24:02:36, 1.31s/step] Training: 6%|▌ | 3909/70000 [1:22:19<23:24:10, 1.27s/step] Training: 6%|▌ | 3910/70000 [1:22:20<22:53:09, 1.25s/step] Training: 6%|▌ | 3911/70000 [1:22:21<22:53:22, 1.25s/step] Training: 6%|▌ | 3912/70000 [1:22:23<22:38:40, 1.23s/step] Training: 6%|▌ | 3913/70000 [1:22:24<22:23:10, 1.22s/step] Training: 6%|▌ | 3914/70000 [1:22:25<22:18:49, 1.22s/step] Training: 6%|▌ | 3915/70000 [1:22:26<22:30:06, 1.23s/step] Training: 6%|▌ | 3916/70000 [1:22:28<23:21:10, 1.27s/step] Training: 6%|▌ | 3917/70000 [1:22:29<22:54:15, 1.25s/step] Training: 6%|▌ | 3918/70000 [1:22:30<22:34:37, 1.23s/step] Training: 6%|▌ | 3919/70000 [1:22:31<23:17:16, 1.27s/step] Training: 6%|▌ | 3920/70000 [1:22:33<23:33:21, 1.28s/step] Training: 6%|▌ | 3921/70000 [1:22:34<23:02:08, 1.25s/step] Training: 6%|▌ | 3922/70000 [1:22:35<23:27:27, 1.28s/step] Training: 6%|▌ | 3923/70000 [1:22:36<23:10:57, 1.26s/step] Training: 6%|▌ | 3924/70000 [1:22:38<23:35:14, 1.29s/step] Training: 6%|▌ | 3925/70000 [1:22:39<23:05:35, 1.26s/step] Training: 6%|▌ | 3926/70000 [1:22:40<22:43:10, 1.24s/step] Training: 6%|▌ | 3927/70000 [1:22:42<23:21:29, 1.27s/step] Training: 6%|▌ | 3928/70000 [1:22:43<23:34:58, 1.28s/step] Training: 6%|▌ | 3929/70000 [1:22:44<23:03:53, 1.26s/step] Training: 6%|▌ | 3930/70000 [1:22:45<23:27:54, 1.28s/step] Training: 6%|▌ | 3931/70000 [1:22:47<23:49:49, 1.30s/step] Training: 6%|▌ | 3932/70000 [1:22:48<24:11:54, 1.32s/step] Training: 6%|▌ | 3933/70000 [1:22:49<23:28:48, 1.28s/step] Training: 6%|▌ | 3934/70000 [1:22:50<22:57:38, 1.25s/step] Training: 6%|▌ | 3935/70000 [1:22:52<23:28:43, 1.28s/step] Training: 6%|▌ | 3936/70000 [1:22:53<23:07:34, 1.26s/step] Training: 6%|▌ | 3937/70000 [1:22:54<22:44:30, 1.24s/step] Training: 6%|▌ | 3938/70000 [1:22:56<23:13:12, 1.27s/step] Training: 6%|▌ | 3939/70000 [1:22:57<23:39:53, 1.29s/step] Training: 6%|▌ | 3940/70000 [1:22:58<23:56:46, 1.30s/step] Training: 6%|▌ | 3941/70000 [1:22:59<23:18:52, 1.27s/step] Training: 6%|▌ | 3942/70000 [1:23:01<22:51:06, 1.25s/step] Training: 6%|▌ | 3943/70000 [1:23:02<22:46:19, 1.24s/step] Training: 6%|▌ | 3944/70000 [1:23:03<22:33:41, 1.23s/step] Training: 6%|▌ | 3945/70000 [1:23:04<22:20:03, 1.22s/step] Training: 6%|▌ | 3946/70000 [1:23:05<22:15:55, 1.21s/step] Training: 6%|▌ | 3947/70000 [1:23:07<22:22:40, 1.22s/step] Training: 6%|▌ | 3948/70000 [1:23:08<23:12:27, 1.26s/step] Training: 6%|▌ | 3949/70000 [1:23:09<22:46:07, 1.24s/step] Training: 6%|▌ | 3950/70000 [1:23:10<22:28:36, 1.23s/step] Training: 6%|▌ | 3951/70000 [1:23:12<23:08:41, 1.26s/step] Training: 6%|▌ | 3952/70000 [1:23:13<23:24:17, 1.28s/step] Training: 6%|▌ | 3953/70000 [1:23:14<22:55:33, 1.25s/step] Training: 6%|▌ | 3954/70000 [1:23:16<23:18:38, 1.27s/step] Training: 6%|▌ | 3955/70000 [1:23:17<22:59:07, 1.25s/step] Training: 6%|▌ | 3956/70000 [1:23:18<23:27:35, 1.28s/step] Training: 6%|▌ | 3957/70000 [1:23:19<22:58:04, 1.25s/step] Training: 6%|▌ | 3958/70000 [1:23:20<22:37:19, 1.23s/step] Training: 6%|▌ | 3959/70000 [1:23:22<23:16:05, 1.27s/step] Training: 6%|▌ | 3960/70000 [1:23:23<23:34:11, 1.28s/step] Training: 6%|▌ | 3961/70000 [1:23:24<23:01:48, 1.26s/step] Training: 6%|▌ | 3962/70000 [1:23:26<23:23:37, 1.28s/step] Training: 6%|▌ | 3963/70000 [1:23:27<23:41:24, 1.29s/step] Training: 6%|▌ | 3964/70000 [1:23:28<24:05:09, 1.31s/step] Training: 6%|▌ | 3965/70000 [1:23:30<23:23:55, 1.28s/step] Training: 6%|▌ | 3966/70000 [1:23:31<22:55:13, 1.25s/step] Training: 6%|▌ | 3967/70000 [1:23:32<23:30:21, 1.28s/step] Training: 6%|▌ | 3968/70000 [1:23:33<23:04:58, 1.26s/step] Training: 6%|▌ | 3969/70000 [1:23:35<22:43:59, 1.24s/step] Training: 6%|▌ | 3970/70000 [1:23:36<23:11:52, 1.26s/step] Training: 6%|▌ | 3971/70000 [1:23:37<23:31:52, 1.28s/step] Training: 6%|▌ | 3972/70000 [1:23:38<23:49:36, 1.30s/step] Training: 6%|▌ | 3973/70000 [1:23:40<23:14:02, 1.27s/step] Training: 6%|▌ | 3974/70000 [1:23:41<22:49:01, 1.24s/step] Training: 6%|▌ | 3975/70000 [1:23:42<22:48:33, 1.24s/step] Training: 6%|▌ | 3976/70000 [1:23:43<22:36:24, 1.23s/step] Training: 6%|▌ | 3977/70000 [1:23:45<22:21:57, 1.22s/step] Training: 6%|▌ | 3978/70000 [1:23:46<22:17:56, 1.22s/step] Training: 6%|▌ | 3979/70000 [1:23:47<22:22:00, 1.22s/step] Training: 6%|▌ | 3980/70000 [1:23:48<23:10:25, 1.26s/step] Training: 6%|▌ | 3981/70000 [1:23:50<22:46:58, 1.24s/step] Training: 6%|▌ | 3982/70000 [1:23:51<22:29:14, 1.23s/step] Training: 6%|▌ | 3983/70000 [1:23:52<23:10:51, 1.26s/step] Training: 6%|▌ | 3984/70000 [1:23:53<23:30:30, 1.28s/step] Training: 6%|▌ | 3985/70000 [1:23:55<23:00:46, 1.25s/step] Training: 6%|▌ | 3986/70000 [1:23:56<23:23:07, 1.28s/step] Training: 6%|▌ | 3987/70000 [1:23:57<23:00:38, 1.25s/step] Training: 6%|▌ | 3988/70000 [1:23:58<23:23:52, 1.28s/step] Training: 6%|▌ | 3989/70000 [1:24:00<22:56:05, 1.25s/step] Training: 6%|▌ | 3990/70000 [1:24:01<22:36:21, 1.23s/step] Training: 6%|▌ | 3991/70000 [1:24:02<23:14:50, 1.27s/step] Training: 6%|▌ | 3992/70000 [1:24:03<23:31:51, 1.28s/step] Training: 6%|▌ | 3993/70000 [1:24:05<23:00:48, 1.26s/step] Training: 6%|▌ | 3994/70000 [1:24:06<23:24:17, 1.28s/step] Training: 6%|▌ | 3995/70000 [1:24:07<23:41:44, 1.29s/step] Training: 6%|▌ | 3996/70000 [1:24:09<23:25:45, 1.28s/step] Training: 6%|▌ | 3997/70000 [1:24:10<23:32:32, 1.28s/step] Training: 6%|▌ | 3998/70000 [1:24:11<23:02:34, 1.26s/step] Training: 6%|▌ | 3999/70000 [1:24:12<23:33:28, 1.28s/step] Training: 6%|▌ | 4000/70000 [1:24:14<23:12:39, 1.27s/step]INFO 2026-03-12 21:34:06 ot_train.py:435 step:4K smpl:256K ep:871 epch:3.39 loss:0.267 grdn:16.324 lr:2.5e-05 updt_s:1.239 data_s:0.018 Training: 6%|▌ | 4001/70000 [1:24:15<22:47:56, 1.24s/step] Training: 6%|▌ | 4002/70000 [1:24:16<23:15:38, 1.27s/step] Training: 6%|▌ | 4003/70000 [1:24:17<23:35:56, 1.29s/step] Training: 6%|▌ | 4004/70000 [1:24:19<23:49:59, 1.30s/step] Training: 6%|▌ | 4005/70000 [1:24:20<23:13:32, 1.27s/step] Training: 6%|▌ | 4006/70000 [1:24:21<22:46:59, 1.24s/step] Training: 6%|▌ | 4007/70000 [1:24:22<22:46:22, 1.24s/step] Training: 6%|▌ | 4008/70000 [1:24:24<22:34:06, 1.23s/step] Training: 6%|▌ | 4009/70000 [1:24:25<22:20:44, 1.22s/step] Training: 6%|▌ | 4010/70000 [1:24:26<22:17:18, 1.22s/step] Training: 6%|▌ | 4011/70000 [1:24:27<22:25:13, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=40761 Training: 6%|▌ | 4012/70000 [1:24:29<23:10:38, 1.26s/step] Training: 6%|▌ | 4013/70000 [1:24:30<22:46:54, 1.24s/step] Training: 6%|▌ | 4014/70000 [1:24:31<22:28:22, 1.23s/step] Training: 6%|▌ | 4015/70000 [1:24:32<23:10:21, 1.26s/step] Training: 6%|▌ | 4016/70000 [1:24:34<23:34:04, 1.29s/step] Training: 6%|▌ | 4017/70000 [1:24:35<23:01:49, 1.26s/step] Training: 6%|▌ | 4018/70000 [1:24:36<23:24:10, 1.28s/step] Training: 6%|▌ | 4019/70000 [1:24:37<23:03:02, 1.26s/step] Training: 6%|▌ | 4020/70000 [1:24:39<23:45:24, 1.30s/step] Training: 6%|▌ | 4021/70000 [1:24:40<23:12:14, 1.27s/step] Training: 6%|▌ | 4022/70000 [1:24:41<22:45:41, 1.24s/step] Training: 6%|▌ | 4023/70000 [1:24:43<23:22:28, 1.28s/step] Training: 6%|▌ | 4024/70000 [1:24:44<23:43:32, 1.29s/step] Training: 6%|▌ | 4025/70000 [1:24:45<23:09:04, 1.26s/step] Training: 6%|▌ | 4026/70000 [1:24:46<23:27:25, 1.28s/step] Training: 6%|▌ | 4027/70000 [1:24:48<23:44:04, 1.30s/step] Training: 6%|▌ | 4028/70000 [1:24:49<24:04:41, 1.31s/step] Training: 6%|▌ | 4029/70000 [1:24:50<23:23:17, 1.28s/step] Training: 6%|▌ | 4030/70000 [1:24:51<22:55:05, 1.25s/step] Training: 6%|▌ | 4031/70000 [1:24:53<23:32:04, 1.28s/step] Training: 6%|▌ | 4032/70000 [1:24:54<23:11:23, 1.27s/step] Training: 6%|▌ | 4033/70000 [1:24:55<22:45:29, 1.24s/step] Training: 6%|▌ | 4034/70000 [1:24:57<23:12:26, 1.27s/step] Training: 6%|▌ | 4035/70000 [1:24:58<23:36:36, 1.29s/step] Training: 6%|▌ | 4036/70000 [1:24:59<23:58:26, 1.31s/step] Training: 6%|▌ | 4037/70000 [1:25:00<23:19:55, 1.27s/step] Training: 6%|▌ | 4038/70000 [1:25:02<22:51:50, 1.25s/step] Training: 6%|▌ | 4039/70000 [1:25:03<22:45:17, 1.24s/step] Training: 6%|▌ | 4040/70000 [1:25:04<22:30:12, 1.23s/step] Training: 6%|▌ | 4041/70000 [1:25:05<22:17:45, 1.22s/step] Training: 6%|▌ | 4042/70000 [1:25:07<22:43:15, 1.24s/step] Training: 6%|▌ | 4043/70000 [1:25:08<22:38:35, 1.24s/step] Training: 6%|▌ | 4044/70000 [1:25:09<23:18:35, 1.27s/step] Training: 6%|▌ | 4045/70000 [1:25:10<22:52:00, 1.25s/step] Training: 6%|▌ | 4046/70000 [1:25:12<22:33:12, 1.23s/step] Training: 6%|▌ | 4047/70000 [1:25:13<22:17:19, 1.22s/step] Training: 6%|▌ | 4048/70000 [1:25:14<23:37:42, 1.29s/step] Training: 6%|▌ | 4049/70000 [1:25:15<23:04:43, 1.26s/step] Training: 6%|▌ | 4050/70000 [1:25:17<22:42:58, 1.24s/step] Training: 6%|▌ | 4051/70000 [1:25:18<22:33:37, 1.23s/step] Training: 6%|▌ | 4052/70000 [1:25:19<23:21:55, 1.28s/step] Training: 6%|▌ | 4053/70000 [1:25:20<22:55:42, 1.25s/step] Training: 6%|▌ | 4054/70000 [1:25:21<22:32:29, 1.23s/step] Training: 6%|▌ | 4055/70000 [1:25:23<22:19:43, 1.22s/step] Training: 6%|▌ | 4056/70000 [1:25:24<23:26:14, 1.28s/step] Training: 6%|▌ | 4057/70000 [1:25:25<22:55:39, 1.25s/step] Training: 6%|▌ | 4058/70000 [1:25:26<22:34:18, 1.23s/step] Training: 6%|▌ | 4059/70000 [1:25:28<23:07:01, 1.26s/step] Training: 6%|▌ | 4060/70000 [1:25:29<22:58:00, 1.25s/step] Training: 6%|▌ | 4061/70000 [1:25:30<23:12:36, 1.27s/step] Training: 6%|▌ | 4062/70000 [1:25:32<22:49:18, 1.25s/step] Training: 6%|▌ | 4063/70000 [1:25:33<22:30:05, 1.23s/step] Training: 6%|▌ | 4064/70000 [1:25:34<22:34:01, 1.23s/step] Training: 6%|▌ | 4065/70000 [1:25:35<22:16:33, 1.22s/step] Training: 6%|▌ | 4066/70000 [1:25:36<22:20:01, 1.22s/step] Training: 6%|▌ | 4067/70000 [1:25:38<22:56:33, 1.25s/step] Training: 6%|▌ | 4068/70000 [1:25:39<23:24:59, 1.28s/step] Training: 6%|▌ | 4069/70000 [1:25:40<22:55:12, 1.25s/step] Training: 6%|▌ | 4070/70000 [1:25:41<22:34:09, 1.23s/step] Training: 6%|▌ | 4071/70000 [1:25:43<22:19:28, 1.22s/step] Training: 6%|▌ | 4072/70000 [1:25:44<23:00:30, 1.26s/step] Training: 6%|▌ | 4073/70000 [1:25:45<22:34:00, 1.23s/step] Training: 6%|▌ | 4074/70000 [1:25:46<22:25:05, 1.22s/step] Training: 6%|▌ | 4075/70000 [1:25:48<22:28:50, 1.23s/step] Training: 6%|▌ | 4076/70000 [1:25:49<23:11:48, 1.27s/step] Training: 6%|▌ | 4077/70000 [1:25:50<22:49:09, 1.25s/step] Training: 6%|▌ | 4078/70000 [1:25:51<22:28:44, 1.23s/step] Training: 6%|▌ | 4079/70000 [1:25:53<22:17:44, 1.22s/step] Training: 6%|▌ | 4080/70000 [1:25:54<23:10:10, 1.27s/step] Training: 6%|▌ | 4081/70000 [1:25:55<22:41:37, 1.24s/step] Training: 6%|▌ | 4082/70000 [1:25:56<23:08:52, 1.26s/step] Training: 6%|▌ | 4083/70000 [1:25:58<22:56:08, 1.25s/step] Training: 6%|▌ | 4084/70000 [1:25:59<23:38:40, 1.29s/step] Training: 6%|▌ | 4085/70000 [1:26:00<23:04:25, 1.26s/step] Training: 6%|▌ | 4086/70000 [1:26:01<22:41:23, 1.24s/step] Training: 6%|▌ | 4087/70000 [1:26:03<22:24:16, 1.22s/step] Training: 6%|▌ | 4088/70000 [1:26:04<22:56:51, 1.25s/step] Training: 6%|▌ | 4089/70000 [1:26:05<22:37:27, 1.24s/step] Training: 6%|▌ | 4090/70000 [1:26:06<23:08:33, 1.26s/step] Training: 6%|▌ | 4091/70000 [1:26:08<23:29:34, 1.28s/step] Training: 6%|▌ | 4092/70000 [1:26:09<23:14:35, 1.27s/step] Training: 6%|▌ | 4093/70000 [1:26:10<23:19:07, 1.27s/step] Training: 6%|▌ | 4094/70000 [1:26:11<22:53:39, 1.25s/step] Training: 6%|▌ | 4095/70000 [1:26:13<22:33:43, 1.23s/step] Training: 6%|▌ | 4096/70000 [1:26:14<22:30:25, 1.23s/step] Training: 6%|▌ | 4097/70000 [1:26:15<23:11:55, 1.27s/step] Training: 6%|▌ | 4098/70000 [1:26:16<22:54:44, 1.25s/step] Training: 6%|▌ | 4099/70000 [1:26:18<23:20:53, 1.28s/step] Training: 6%|▌ | 4100/70000 [1:26:19<23:40:02, 1.29s/step]INFO 2026-03-12 21:36:11 ot_train.py:435 step:4K smpl:262K ep:893 epch:3.48 loss:0.261 grdn:17.379 lr:2.5e-05 updt_s:1.234 data_s:0.018 Training: 6%|▌ | 4101/70000 [1:26:20<23:06:04, 1.26s/step] Training: 6%|▌ | 4102/70000 [1:26:21<22:41:55, 1.24s/step] Training: 6%|▌ | 4103/70000 [1:26:23<22:27:46, 1.23s/step] Training: 6%|▌ | 4104/70000 [1:26:24<22:21:25, 1.22s/step] Training: 6%|▌ | 4105/70000 [1:26:25<22:38:49, 1.24s/step] Training: 6%|▌ | 4106/70000 [1:26:26<22:29:16, 1.23s/step] Training: 6%|▌ | 4107/70000 [1:26:28<22:30:46, 1.23s/step] Training: 6%|▌ | 4108/70000 [1:26:29<23:17:42, 1.27s/step] Training: 6%|▌ | 4109/70000 [1:26:30<22:52:37, 1.25s/step] Training: 6%|▌ | 4110/70000 [1:26:31<22:31:39, 1.23s/step] Training: 6%|▌ | 4111/70000 [1:26:33<22:18:26, 1.22s/step] Training: 6%|▌ | 4112/70000 [1:26:34<22:52:36, 1.25s/step] Training: 6%|▌ | 4113/70000 [1:26:35<22:49:21, 1.25s/step] Training: 6%|▌ | 4114/70000 [1:26:36<23:11:52, 1.27s/step] Training: 6%|▌ | 4115/70000 [1:26:38<22:53:32, 1.25s/step] Training: 6%|▌ | 4116/70000 [1:26:39<23:28:26, 1.28s/step] Training: 6%|▌ | 4117/70000 [1:26:40<22:59:19, 1.26s/step] Training: 6%|▌ | 4118/70000 [1:26:41<22:36:23, 1.24s/step] Training: 6%|▌ | 4119/70000 [1:26:43<22:21:54, 1.22s/step] Training: 6%|▌ | 4120/70000 [1:26:44<22:57:27, 1.25s/step] Training: 6%|▌ | 4121/70000 [1:26:45<23:36:19, 1.29s/step] Training: 6%|▌ | 4122/70000 [1:26:47<23:48:32, 1.30s/step] Training: 6%|▌ | 4123/70000 [1:26:48<23:58:16, 1.31s/step] Training: 6%|▌ | 4124/70000 [1:26:49<24:18:55, 1.33s/step] Training: 6%|▌ | 4125/70000 [1:26:50<23:36:33, 1.29s/step] Training: 6%|▌ | 4126/70000 [1:26:52<23:01:22, 1.26s/step] Training: 6%|▌ | 4127/70000 [1:26:53<22:39:52, 1.24s/step] Training: 6%|▌ | 4128/70000 [1:26:54<22:36:37, 1.24s/step] Training: 6%|▌ | 4129/70000 [1:26:55<23:17:16, 1.27s/step] Training: 6%|▌ | 4130/70000 [1:26:57<22:58:12, 1.26s/step] Training: 6%|▌ | 4131/70000 [1:26:58<23:23:19, 1.28s/step] Training: 6%|▌ | 4132/70000 [1:26:59<23:43:40, 1.30s/step] Training: 6%|▌ | 4133/70000 [1:27:01<23:09:05, 1.27s/step] Training: 6%|▌ | 4134/70000 [1:27:02<22:44:18, 1.24s/step] Training: 6%|▌ | 4135/70000 [1:27:03<22:28:13, 1.23s/step] Training: 6%|▌ | 4136/70000 [1:27:04<22:19:33, 1.22s/step] Training: 6%|▌ | 4137/70000 [1:27:05<23:07:42, 1.26s/step] Training: 6%|▌ | 4138/70000 [1:27:07<22:45:53, 1.24s/step] Training: 6%|▌ | 4139/70000 [1:27:08<22:39:59, 1.24s/step] Training: 6%|▌ | 4140/70000 [1:27:09<23:29:16, 1.28s/step] Training: 6%|▌ | 4141/70000 [1:27:10<22:58:07, 1.26s/step] Training: 6%|▌ | 4142/70000 [1:27:12<22:36:18, 1.24s/step] Training: 6%|▌ | 4143/70000 [1:27:13<22:21:19, 1.22s/step] Training: 6%|▌ | 4144/70000 [1:27:14<22:54:11, 1.25s/step] Training: 6%|▌ | 4145/70000 [1:27:15<22:48:45, 1.25s/step] Training: 6%|▌ | 4146/70000 [1:27:17<23:10:32, 1.27s/step] Training: 6%|▌ | 4147/70000 [1:27:18<23:03:49, 1.26s/step] Training: 6%|▌ | 4148/70000 [1:27:19<23:40:04, 1.29s/step] Training: 6%|▌ | 4149/70000 [1:27:21<23:05:08, 1.26s/step] Training: 6%|▌ | 4150/70000 [1:27:22<22:43:23, 1.24s/step] Training: 6%|▌ | 4151/70000 [1:27:23<22:24:23, 1.22s/step] Training: 6%|▌ | 4152/70000 [1:27:24<22:56:23, 1.25s/step] Training: 6%|▌ | 4153/70000 [1:27:26<23:35:20, 1.29s/step] Training: 6%|▌ | 4154/70000 [1:27:27<23:45:08, 1.30s/step] Training: 6%|▌ | 4155/70000 [1:27:28<23:08:38, 1.27s/step] Training: 6%|▌ | 4156/70000 [1:27:30<24:06:01, 1.32s/step] Training: 6%|▌ | 4157/70000 [1:27:31<23:24:52, 1.28s/step] Training: 6%|▌ | 4158/70000 [1:27:32<22:53:35, 1.25s/step] Training: 6%|▌ | 4159/70000 [1:27:33<22:32:44, 1.23s/step] Training: 6%|▌ | 4160/70000 [1:27:34<22:29:47, 1.23s/step] Training: 6%|▌ | 4161/70000 [1:27:36<23:07:40, 1.26s/step] Training: 6%|▌ | 4162/70000 [1:27:37<22:49:36, 1.25s/step] Training: 6%|▌ | 4163/70000 [1:27:38<23:24:15, 1.28s/step] Training: 6%|▌ | 4164/70000 [1:27:40<23:44:37, 1.30s/step] Training: 6%|▌ | 4165/70000 [1:27:41<23:08:57, 1.27s/step] Training: 6%|▌ | 4166/70000 [1:27:42<22:44:12, 1.24s/step] Training: 6%|▌ | 4167/70000 [1:27:43<22:29:09, 1.23s/step] Training: 6%|▌ | 4168/70000 [1:27:44<22:24:41, 1.23s/step] Training: 6%|▌ | 4169/70000 [1:27:46<23:05:52, 1.26s/step] Training: 6%|▌ | 4170/70000 [1:27:47<22:43:43, 1.24s/step] Training: 6%|▌ | 4171/70000 [1:27:48<22:39:54, 1.24s/step] Training: 6%|▌ | 4172/70000 [1:27:50<23:26:21, 1.28s/step] Training: 6%|▌ | 4173/70000 [1:27:51<22:56:56, 1.26s/step] Training: 6%|▌ | 4174/70000 [1:27:52<22:35:39, 1.24s/step] Training: 6%|▌ | 4175/70000 [1:27:53<22:20:47, 1.22s/step] Training: 6%|▌ | 4176/70000 [1:27:54<23:00:15, 1.26s/step] Training: 6%|▌ | 4177/70000 [1:27:56<22:52:54, 1.25s/step] Training: 6%|▌ | 4178/70000 [1:27:57<23:13:39, 1.27s/step] Training: 6%|▌ | 4179/70000 [1:27:58<23:00:50, 1.26s/step] Training: 6%|▌ | 4180/70000 [1:28:00<23:42:17, 1.30s/step] Training: 6%|▌ | 4181/70000 [1:28:01<23:06:51, 1.26s/step] Training: 6%|▌ | 4182/70000 [1:28:02<22:41:14, 1.24s/step] Training: 6%|▌ | 4183/70000 [1:28:03<22:24:21, 1.23s/step] Training: 6%|▌ | 4184/70000 [1:28:05<22:59:57, 1.26s/step] Training: 6%|▌ | 4185/70000 [1:28:06<23:32:17, 1.29s/step] Training: 6%|▌ | 4186/70000 [1:28:07<23:44:56, 1.30s/step] Training: 6%|▌ | 4187/70000 [1:28:08<23:10:05, 1.27s/step] Training: 6%|▌ | 4188/70000 [1:28:10<24:00:24, 1.31s/step] Training: 6%|▌ | 4189/70000 [1:28:11<23:18:56, 1.28s/step] Training: 6%|▌ | 4190/70000 [1:28:12<22:49:17, 1.25s/step] Training: 6%|▌ | 4191/70000 [1:28:13<22:31:17, 1.23s/step] Training: 6%|▌ | 4192/70000 [1:28:15<22:28:43, 1.23s/step] Training: 6%|▌ | 4193/70000 [1:28:16<23:07:54, 1.27s/step] Training: 6%|▌ | 4194/70000 [1:28:17<22:51:28, 1.25s/step] Training: 6%|▌ | 4195/70000 [1:28:18<22:31:47, 1.23s/step] Training: 6%|▌ | 4196/70000 [1:28:20<23:10:40, 1.27s/step] Training: 6%|▌ | 4197/70000 [1:28:21<22:45:21, 1.24s/step] Training: 6%|▌ | 4198/70000 [1:28:22<22:26:27, 1.23s/step] Training: 6%|▌ | 4199/70000 [1:28:23<22:12:51, 1.22s/step] Training: 6%|▌ | 4200/70000 [1:28:25<22:17:43, 1.22s/step]INFO 2026-03-12 21:38:17 ot_train.py:435 step:4K smpl:269K ep:915 epch:3.56 loss:0.264 grdn:17.671 lr:2.5e-05 updt_s:1.234 data_s:0.018 Training: 6%|▌ | 4201/70000 [1:28:26<23:04:14, 1.26s/step] Training: 6%|▌ | 4202/70000 [1:28:27<22:45:00, 1.24s/step] Training: 6%|▌ | 4203/70000 [1:28:28<23:05:48, 1.26s/step] Training: 6%|▌ | 4204/70000 [1:28:30<23:45:51, 1.30s/step] Training: 6%|▌ | 4205/70000 [1:28:31<23:09:01, 1.27s/step] Training: 6%|▌ | 4206/70000 [1:28:32<22:45:07, 1.24s/step] Training: 6%|▌ | 4207/70000 [1:28:33<22:25:05, 1.23s/step] Training: 6%|▌ | 4208/70000 [1:28:35<22:12:43, 1.22s/step] Training: 6%|▌ | 4209/70000 [1:28:36<22:45:18, 1.25s/step] Training: 6%|▌ | 4210/70000 [1:28:37<23:17:50, 1.27s/step] Training: 6%|▌ | 4211/70000 [1:28:39<23:36:15, 1.29s/step] Training: 6%|▌ | 4212/70000 [1:28:40<24:01:12, 1.31s/step] Training: 6%|▌ | 4213/70000 [1:28:41<23:18:59, 1.28s/step] Training: 6%|▌ | 4214/70000 [1:28:42<22:51:29, 1.25s/step] Training: 6%|▌ | 4215/70000 [1:28:43<22:31:16, 1.23s/step] Training: 6%|▌ | 4216/70000 [1:28:45<22:17:18, 1.22s/step] Training: 6%|▌ | 4217/70000 [1:28:46<23:00:26, 1.26s/step] Training: 6%|▌ | 4218/70000 [1:28:47<23:18:52, 1.28s/step] Training: 6%|▌ | 4219/70000 [1:28:49<22:54:39, 1.25s/step] Training: 6%|▌ | 4220/70000 [1:28:50<23:34:25, 1.29s/step] Training: 6%|▌ | 4221/70000 [1:28:51<22:59:59, 1.26s/step] Training: 6%|▌ | 4222/70000 [1:28:52<22:37:37, 1.24s/step] Training: 6%|▌ | 4223/70000 [1:28:53<22:20:50, 1.22s/step] Training: 6%|▌ | 4224/70000 [1:28:55<22:23:30, 1.23s/step] Training: 6%|▌ | 4225/70000 [1:28:56<23:04:31, 1.26s/step] Training: 6%|▌ | 4226/70000 [1:28:57<22:48:32, 1.25s/step] Training: 6%|▌ | 4227/70000 [1:28:59<23:16:50, 1.27s/step] Training: 6%|▌ | 4228/70000 [1:29:00<23:38:22, 1.29s/step] Training: 6%|▌ | 4229/70000 [1:29:01<23:04:30, 1.26s/step] Training: 6%|▌ | 4230/70000 [1:29:02<22:39:30, 1.24s/step] Training: 6%|▌ | 4231/70000 [1:29:04<22:23:17, 1.23s/step] Training: 6%|▌ | 4232/70000 [1:29:05<22:24:57, 1.23s/step] Training: 6%|▌ | 4233/70000 [1:29:06<22:28:31, 1.23s/step] Training: 6%|▌ | 4234/70000 [1:29:07<22:22:02, 1.22s/step] Training: 6%|▌ | 4235/70000 [1:29:09<22:55:06, 1.25s/step] Training: 6%|▌ | 4236/70000 [1:29:10<23:36:01, 1.29s/step] Training: 6%|▌ | 4237/70000 [1:29:11<23:01:41, 1.26s/step] Training: 6%|▌ | 4238/70000 [1:29:12<22:37:31, 1.24s/step] Training: 6%|▌ | 4239/70000 [1:29:13<22:21:24, 1.22s/step] Training: 6%|▌ | 4240/70000 [1:29:15<22:10:14, 1.21s/step] Training: 6%|▌ | 4241/70000 [1:29:16<22:42:55, 1.24s/step] Training: 6%|▌ | 4242/70000 [1:29:17<23:11:49, 1.27s/step] Training: 6%|▌ | 4243/70000 [1:29:19<23:32:41, 1.29s/step] Training: 6%|▌ | 4244/70000 [1:29:20<24:04:53, 1.32s/step] Training: 6%|▌ | 4245/70000 [1:29:21<23:21:27, 1.28s/step] Training: 6%|▌ | 4246/70000 [1:29:22<22:51:41, 1.25s/step] Training: 6%|▌ | 4247/70000 [1:29:24<22:30:50, 1.23s/step] Training: 6%|▌ | 4248/70000 [1:29:25<23:01:41, 1.26s/step] Training: 6%|▌ | 4249/70000 [1:29:26<23:36:01, 1.29s/step] Training: 6%|▌ | 4250/70000 [1:29:28<23:43:58, 1.30s/step] Training: 6%|▌ | 4251/70000 [1:29:29<23:16:52, 1.27s/step] Training: 6%|▌ | 4252/70000 [1:29:30<23:46:11, 1.30s/step] Training: 6%|▌ | 4253/70000 [1:29:31<23:07:34, 1.27s/step] Training: 6%|▌ | 4254/70000 [1:29:33<22:40:40, 1.24s/step] Training: 6%|▌ | 4255/70000 [1:29:34<22:23:33, 1.23s/step] Training: 6%|▌ | 4256/70000 [1:29:35<22:16:43, 1.22s/step] Training: 6%|▌ | 4257/70000 [1:29:36<22:59:46, 1.26s/step] Training: 6%|▌ | 4258/70000 [1:29:37<22:43:48, 1.24s/step] Training: 6%|▌ | 4259/70000 [1:29:39<23:14:11, 1.27s/step] Training: 6%|▌ | 4260/70000 [1:29:40<23:41:59, 1.30s/step] Training: 6%|▌ | 4261/70000 [1:29:41<23:07:16, 1.27s/step] Training: 6%|▌ | 4262/70000 [1:29:43<22:42:15, 1.24s/step] Training: 6%|▌ | 4263/70000 [1:29:44<22:24:17, 1.23s/step] Training: 6%|▌ | 4264/70000 [1:29:45<22:23:55, 1.23s/step] Training: 6%|▌ | 4265/70000 [1:29:46<23:04:38, 1.26s/step] Training: 6%|▌ | 4266/70000 [1:29:48<22:42:35, 1.24s/step] Training: 6%|▌ | 4267/70000 [1:29:49<23:09:55, 1.27s/step] Training: 6%|▌ | 4268/70000 [1:29:50<23:46:13, 1.30s/step] Training: 6%|▌ | 4269/70000 [1:29:51<23:10:59, 1.27s/step] Training: 6%|▌ | 4270/70000 [1:29:53<22:43:03, 1.24s/step] Training: 6%|▌ | 4271/70000 [1:29:54<22:25:21, 1.23s/step] Training: 6%|▌ | 4272/70000 [1:29:55<22:10:49, 1.21s/step] Training: 6%|▌ | 4273/70000 [1:29:56<22:48:31, 1.25s/step] Training: 6%|▌ | 4274/70000 [1:29:58<23:18:18, 1.28s/step] Training: 6%|▌ | 4275/70000 [1:29:59<23:34:03, 1.29s/step] Training: 6%|▌ | 4276/70000 [1:30:00<23:57:52, 1.31s/step] Training: 6%|▌ | 4277/70000 [1:30:02<24:05:09, 1.32s/step] Training: 6%|▌ | 4278/70000 [1:30:03<23:22:41, 1.28s/step] Training: 6%|▌ | 4279/70000 [1:30:04<22:52:33, 1.25s/step] Training: 6%|▌ | 4280/70000 [1:30:05<23:15:16, 1.27s/step] Training: 6%|▌ | 4281/70000 [1:30:07<23:40:41, 1.30s/step] Training: 6%|▌ | 4282/70000 [1:30:08<23:45:33, 1.30s/step] Training: 6%|▌ | 4283/70000 [1:30:09<23:14:51, 1.27s/step] Training: 6%|▌ | 4284/70000 [1:30:11<23:37:58, 1.29s/step] Training: 6%|▌ | 4285/70000 [1:30:12<23:42:05, 1.30s/step] Training: 6%|▌ | 4286/70000 [1:30:13<23:05:40, 1.27s/step] Training: 6%|▌ | 4287/70000 [1:30:14<22:40:44, 1.24s/step] Training: 6%|▌ | 4288/70000 [1:30:15<22:27:18, 1.23s/step] Training: 6%|▌ | 4289/70000 [1:30:17<23:09:49, 1.27s/step] Training: 6%|▌ | 4290/70000 [1:30:18<22:54:21, 1.25s/step] Training: 6%|▌ | 4291/70000 [1:30:19<23:20:30, 1.28s/step] Training: 6%|▌ | 4292/70000 [1:30:21<23:41:19, 1.30s/step] Training: 6%|▌ | 4293/70000 [1:30:22<23:06:23, 1.27s/step] Training: 6%|▌ | 4294/70000 [1:30:23<22:40:54, 1.24s/step] Training: 6%|▌ | 4295/70000 [1:30:24<22:23:24, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=40761 Training: 6%|▌ | 4296/70000 [1:30:26<22:21:13, 1.22s/step] Training: 6%|▌ | 4297/70000 [1:30:27<22:23:25, 1.23s/step] Training: 6%|▌ | 4298/70000 [1:30:28<22:20:45, 1.22s/step] Training: 6%|▌ | 4299/70000 [1:30:29<22:56:37, 1.26s/step] Training: 6%|▌ | 4300/70000 [1:30:31<23:28:43, 1.29s/step]INFO 2026-03-12 21:40:23 ot_train.py:435 step:4K smpl:275K ep:937 epch:3.64 loss:0.277 grdn:16.997 lr:2.5e-05 updt_s:1.241 data_s:0.019 Training: 6%|▌ | 4301/70000 [1:30:32<23:44:10, 1.30s/step] Training: 6%|▌ | 4302/70000 [1:30:33<23:07:06, 1.27s/step] Training: 6%|▌ | 4303/70000 [1:30:34<22:42:07, 1.24s/step] Training: 6%|▌ | 4304/70000 [1:30:36<22:24:22, 1.23s/step] Training: 6%|▌ | 4305/70000 [1:30:37<23:00:36, 1.26s/step] Training: 6%|▌ | 4306/70000 [1:30:38<23:17:19, 1.28s/step] Training: 6%|▌ | 4307/70000 [1:30:40<23:35:55, 1.29s/step] Training: 6%|▌ | 4308/70000 [1:30:41<23:34:01, 1.29s/step] Training: 6%|▌ | 4309/70000 [1:30:42<24:17:55, 1.33s/step] Training: 6%|▌ | 4310/70000 [1:30:43<23:32:26, 1.29s/step] Training: 6%|▌ | 4311/70000 [1:30:45<23:01:11, 1.26s/step] Training: 6%|▌ | 4312/70000 [1:30:46<22:38:26, 1.24s/step] Training: 6%|▌ | 4313/70000 [1:30:47<23:27:29, 1.29s/step] Training: 6%|▌ | 4314/70000 [1:30:49<23:36:55, 1.29s/step] Training: 6%|▌ | 4315/70000 [1:30:50<23:13:07, 1.27s/step] Training: 6%|▌ | 4316/70000 [1:30:51<22:54:31, 1.26s/step] Training: 6%|▌ | 4317/70000 [1:30:52<23:14:13, 1.27s/step] Training: 6%|▌ | 4318/70000 [1:30:54<22:48:11, 1.25s/step] Training: 6%|▌ | 4319/70000 [1:30:55<22:30:33, 1.23s/step] Training: 6%|▌ | 4320/70000 [1:30:56<22:27:02, 1.23s/step] Training: 6%|▌ | 4321/70000 [1:30:57<23:08:37, 1.27s/step] Training: 6%|▌ | 4322/70000 [1:30:59<22:52:46, 1.25s/step] Training: 6%|▌ | 4323/70000 [1:31:00<23:18:26, 1.28s/step] Training: 6%|▌ | 4324/70000 [1:31:01<23:38:03, 1.30s/step] Training: 6%|▌ | 4325/70000 [1:31:03<24:01:45, 1.32s/step] Training: 6%|▌ | 4326/70000 [1:31:04<23:19:34, 1.28s/step] Training: 6%|▌ | 4327/70000 [1:31:05<22:51:05, 1.25s/step] Training: 6%|▌ | 4328/70000 [1:31:06<22:37:50, 1.24s/step] Training: 6%|▌ | 4329/70000 [1:31:07<22:42:16, 1.24s/step] Training: 6%|▌ | 4330/70000 [1:31:09<22:32:01, 1.24s/step] Training: 6%|▌ | 4331/70000 [1:31:10<23:02:39, 1.26s/step] Training: 6%|▌ | 4332/70000 [1:31:11<23:37:36, 1.30s/step] Training: 6%|▌ | 4333/70000 [1:31:13<23:49:35, 1.31s/step] Training: 6%|▌ | 4334/70000 [1:31:14<23:10:51, 1.27s/step] Training: 6%|▌ | 4335/70000 [1:31:15<22:44:24, 1.25s/step] Training: 6%|▌ | 4336/70000 [1:31:16<23:12:22, 1.27s/step] Training: 6%|▌ | 4337/70000 [1:31:18<23:00:49, 1.26s/step] Training: 6%|▌ | 4338/70000 [1:31:19<23:17:59, 1.28s/step] Training: 6%|▌ | 4339/70000 [1:31:20<23:03:40, 1.26s/step] Training: 6%|▌ | 4340/70000 [1:31:21<23:07:48, 1.27s/step] Training: 6%|▌ | 4341/70000 [1:31:23<23:25:44, 1.28s/step] Training: 6%|▌ | 4342/70000 [1:31:24<23:40:13, 1.30s/step] Training: 6%|▌ | 4343/70000 [1:31:25<23:05:08, 1.27s/step] Training: 6%|▌ | 4344/70000 [1:31:27<23:23:35, 1.28s/step] Training: 6%|▌ | 4345/70000 [1:31:28<23:48:04, 1.31s/step] Training: 6%|▌ | 4346/70000 [1:31:29<23:53:06, 1.31s/step] Training: 6%|▌ | 4347/70000 [1:31:30<23:26:23, 1.29s/step] Training: 6%|▌ | 4348/70000 [1:31:32<23:43:48, 1.30s/step] Training: 6%|▌ | 4349/70000 [1:31:33<23:57:20, 1.31s/step] Training: 6%|▌ | 4350/70000 [1:31:34<23:15:59, 1.28s/step] Training: 6%|▌ | 4351/70000 [1:31:36<22:46:46, 1.25s/step] Training: 6%|▌ | 4352/70000 [1:31:37<22:39:05, 1.24s/step] Training: 6%|▌ | 4353/70000 [1:31:38<23:14:13, 1.27s/step] Training: 6%|▌ | 4354/70000 [1:31:39<22:59:15, 1.26s/step] Training: 6%|▌ | 4355/70000 [1:31:41<23:19:00, 1.28s/step] Training: 6%|▌ | 4356/70000 [1:31:42<23:39:02, 1.30s/step] Training: 6%|▌ | 4357/70000 [1:31:43<23:53:09, 1.31s/step] Training: 6%|▌ | 4358/70000 [1:31:45<23:12:49, 1.27s/step] Training: 6%|▌ | 4359/70000 [1:31:46<22:45:52, 1.25s/step] Training: 6%|▌ | 4360/70000 [1:31:47<22:35:39, 1.24s/step] Training: 6%|▌ | 4361/70000 [1:31:48<22:32:55, 1.24s/step] Training: 6%|▌ | 4362/70000 [1:31:49<22:25:23, 1.23s/step] Training: 6%|▌ | 4363/70000 [1:31:51<22:56:44, 1.26s/step] Training: 6%|▌ | 4364/70000 [1:31:52<23:34:23, 1.29s/step] Training: 6%|▌ | 4365/70000 [1:31:53<23:48:10, 1.31s/step] Training: 6%|▌ | 4366/70000 [1:31:55<23:10:31, 1.27s/step] Training: 6%|▌ | 4367/70000 [1:31:56<22:43:37, 1.25s/step] Training: 6%|▌ | 4368/70000 [1:31:57<23:09:41, 1.27s/step] Training: 6%|▌ | 4369/70000 [1:31:58<23:00:24, 1.26s/step] Training: 6%|▌ | 4370/70000 [1:32:00<23:18:52, 1.28s/step] Training: 6%|▌ | 4371/70000 [1:32:01<23:04:44, 1.27s/step] Training: 6%|▌ | 4372/70000 [1:32:02<23:01:53, 1.26s/step] Training: 6%|▌ | 4373/70000 [1:32:04<23:23:58, 1.28s/step] Training: 6%|▌ | 4374/70000 [1:32:05<22:56:47, 1.26s/step] Training: 6%|▋ | 4375/70000 [1:32:06<22:35:48, 1.24s/step] Training: 6%|▋ | 4376/70000 [1:32:07<23:06:59, 1.27s/step] Training: 6%|▋ | 4377/70000 [1:32:09<23:37:01, 1.30s/step] Training: 6%|▋ | 4378/70000 [1:32:10<23:42:37, 1.30s/step] Training: 6%|▋ | 4379/70000 [1:32:11<23:13:44, 1.27s/step] Training: 6%|▋ | 4380/70000 [1:32:12<23:31:07, 1.29s/step] Training: 6%|▋ | 4381/70000 [1:32:14<23:43:15, 1.30s/step] Training: 6%|▋ | 4382/70000 [1:32:15<23:07:55, 1.27s/step] Training: 6%|▋ | 4383/70000 [1:32:16<22:40:37, 1.24s/step] Training: 6%|▋ | 4384/70000 [1:32:17<23:02:45, 1.26s/step] Training: 6%|▋ | 4385/70000 [1:32:19<23:34:04, 1.29s/step] Training: 6%|▋ | 4386/70000 [1:32:20<23:16:32, 1.28s/step] Training: 6%|▋ | 4387/70000 [1:32:21<23:34:17, 1.29s/step] Training: 6%|▋ | 4388/70000 [1:32:23<23:45:54, 1.30s/step] Training: 6%|▋ | 4389/70000 [1:32:24<23:56:49, 1.31s/step] Training: 6%|▋ | 4390/70000 [1:32:25<23:16:35, 1.28s/step] Training: 6%|▋ | 4391/70000 [1:32:26<22:47:28, 1.25s/step] Training: 6%|▋ | 4392/70000 [1:32:28<22:31:26, 1.24s/step] Training: 6%|▋ | 4393/70000 [1:32:29<23:11:28, 1.27s/step] Training: 6%|▋ | 4394/70000 [1:32:30<22:40:59, 1.24s/step] Training: 6%|▋ | 4395/70000 [1:32:32<23:50:34, 1.31s/step] Training: 6%|▋ | 4396/70000 [1:32:33<24:10:43, 1.33s/step] Training: 6%|▋ | 4397/70000 [1:32:34<24:11:08, 1.33s/step] Training: 6%|▋ | 4398/70000 [1:32:36<23:28:28, 1.29s/step] Training: 6%|▋ | 4399/70000 [1:32:37<22:56:08, 1.26s/step] Training: 6%|▋ | 4400/70000 [1:32:38<23:17:44, 1.28s/step]INFO 2026-03-12 21:42:30 ot_train.py:435 step:4K smpl:282K ep:958 epch:3.73 loss:0.274 grdn:17.398 lr:2.5e-05 updt_s:1.253 data_s:0.019 Training: 6%|▋ | 4401/70000 [1:32:39<23:04:40, 1.27s/step] Training: 6%|▋ | 4402/70000 [1:32:40<22:35:53, 1.24s/step] Training: 6%|▋ | 4403/70000 [1:32:42<23:00:39, 1.26s/step] Training: 6%|▋ | 4404/70000 [1:32:43<23:02:40, 1.26s/step] Training: 6%|▋ | 4405/70000 [1:32:44<23:24:24, 1.28s/step] Training: 6%|▋ | 4406/70000 [1:32:46<22:52:26, 1.26s/step] Training: 6%|▋ | 4407/70000 [1:32:47<22:30:31, 1.24s/step] Training: 6%|▋ | 4408/70000 [1:32:48<23:00:10, 1.26s/step] Training: 6%|▋ | 4409/70000 [1:32:49<23:29:24, 1.29s/step] Training: 6%|▋ | 4410/70000 [1:32:51<22:52:52, 1.26s/step] Training: 6%|▋ | 4411/70000 [1:32:52<22:38:07, 1.24s/step] Training: 6%|▋ | 4412/70000 [1:32:53<23:06:23, 1.27s/step] Training: 6%|▋ | 4413/70000 [1:32:54<23:30:34, 1.29s/step] Training: 6%|▋ | 4414/70000 [1:32:56<22:56:58, 1.26s/step] Training: 6%|▋ | 4415/70000 [1:32:57<22:35:56, 1.24s/step] Training: 6%|▋ | 4416/70000 [1:32:58<22:32:49, 1.24s/step] Training: 6%|▋ | 4417/70000 [1:32:59<23:21:58, 1.28s/step] Training: 6%|▋ | 4418/70000 [1:33:01<22:57:12, 1.26s/step] Training: 6%|▋ | 4419/70000 [1:33:02<23:26:07, 1.29s/step] Training: 6%|▋ | 4420/70000 [1:33:03<23:40:24, 1.30s/step] Training: 6%|▋ | 4421/70000 [1:33:05<23:50:19, 1.31s/step] Training: 6%|▋ | 4422/70000 [1:33:06<23:56:31, 1.31s/step] Training: 6%|▋ | 4423/70000 [1:33:07<23:15:44, 1.28s/step] Training: 6%|▋ | 4424/70000 [1:33:08<22:53:23, 1.26s/step] Training: 6%|▋ | 4425/70000 [1:33:10<22:49:22, 1.25s/step] Training: 6%|▋ | 4426/70000 [1:33:11<22:34:51, 1.24s/step] Training: 6%|▋ | 4427/70000 [1:33:12<23:04:08, 1.27s/step] Training: 6%|▋ | 4428/70000 [1:33:14<23:34:12, 1.29s/step] Training: 6%|▋ | 4429/70000 [1:33:15<23:45:18, 1.30s/step] Training: 6%|▋ | 4430/70000 [1:33:16<23:37:09, 1.30s/step] Training: 6%|▋ | 4431/70000 [1:33:17<23:04:06, 1.27s/step] Training: 6%|▋ | 4432/70000 [1:33:19<23:22:52, 1.28s/step] Training: 6%|▋ | 4433/70000 [1:33:20<23:07:17, 1.27s/step] Training: 6%|▋ | 4434/70000 [1:33:21<23:22:18, 1.28s/step] Training: 6%|▋ | 4435/70000 [1:33:22<23:06:10, 1.27s/step] Training: 6%|▋ | 4436/70000 [1:33:24<22:56:09, 1.26s/step] Training: 6%|▋ | 4437/70000 [1:33:25<22:39:58, 1.24s/step] Training: 6%|▋ | 4438/70000 [1:33:26<22:22:55, 1.23s/step] Training: 6%|▋ | 4439/70000 [1:33:27<22:10:16, 1.22s/step] Training: 6%|▋ | 4440/70000 [1:33:29<22:48:55, 1.25s/step] Training: 6%|▋ | 4441/70000 [1:33:30<23:22:17, 1.28s/step] Training: 6%|▋ | 4442/70000 [1:33:31<23:32:34, 1.29s/step] Training: 6%|▋ | 4443/70000 [1:33:33<23:12:18, 1.27s/step] Training: 6%|▋ | 4444/70000 [1:33:34<23:29:36, 1.29s/step] Training: 6%|▋ | 4445/70000 [1:33:35<23:41:05, 1.30s/step] Training: 6%|▋ | 4446/70000 [1:33:37<23:49:11, 1.31s/step] Training: 6%|▋ | 4447/70000 [1:33:38<23:09:39, 1.27s/step] Training: 6%|▋ | 4448/70000 [1:33:39<22:55:03, 1.26s/step] Training: 6%|▋ | 4449/70000 [1:33:40<23:27:14, 1.29s/step] Training: 6%|▋ | 4450/70000 [1:33:42<23:01:59, 1.26s/step] Training: 6%|▋ | 4451/70000 [1:33:43<22:38:13, 1.24s/step] Training: 6%|▋ | 4452/70000 [1:33:44<23:45:24, 1.30s/step] Training: 6%|▋ | 4453/70000 [1:33:45<23:55:43, 1.31s/step] Training: 6%|▋ | 4454/70000 [1:33:47<23:29:35, 1.29s/step] Training: 6%|▋ | 4455/70000 [1:33:48<22:56:01, 1.26s/step] Training: 6%|▋ | 4456/70000 [1:33:49<22:41:37, 1.25s/step] Training: 6%|▋ | 4457/70000 [1:33:50<22:38:44, 1.24s/step] Training: 6%|▋ | 4458/70000 [1:33:52<22:38:07, 1.24s/step] Training: 6%|▋ | 4459/70000 [1:33:53<22:20:35, 1.23s/step] Training: 6%|▋ | 4460/70000 [1:33:54<23:10:08, 1.27s/step] Training: 6%|▋ | 4461/70000 [1:33:55<23:00:02, 1.26s/step] Training: 6%|▋ | 4462/70000 [1:33:57<22:56:43, 1.26s/step] Training: 6%|▋ | 4463/70000 [1:33:58<22:38:13, 1.24s/step] Training: 6%|▋ | 4464/70000 [1:33:59<23:07:26, 1.27s/step] Training: 6%|▋ | 4465/70000 [1:34:00<22:58:20, 1.26s/step] Training: 6%|▋ | 4466/70000 [1:34:02<23:22:51, 1.28s/step] Training: 6%|▋ | 4467/70000 [1:34:03<23:07:43, 1.27s/step] Training: 6%|▋ | 4468/70000 [1:34:04<23:02:30, 1.27s/step] Training: 6%|▋ | 4469/70000 [1:34:06<22:48:39, 1.25s/step] Training: 6%|▋ | 4470/70000 [1:34:07<22:27:49, 1.23s/step] Training: 6%|▋ | 4471/70000 [1:34:08<22:55:27, 1.26s/step] Training: 6%|▋ | 4472/70000 [1:34:09<23:19:51, 1.28s/step] Training: 6%|▋ | 4473/70000 [1:34:11<22:48:43, 1.25s/step] Training: 6%|▋ | 4474/70000 [1:34:12<23:40:16, 1.30s/step] Training: 6%|▋ | 4475/70000 [1:34:13<23:14:57, 1.28s/step] Training: 6%|▋ | 4476/70000 [1:34:15<23:32:28, 1.29s/step] Training: 6%|▋ | 4477/70000 [1:34:16<23:43:16, 1.30s/step] Training: 6%|▋ | 4478/70000 [1:34:17<23:04:42, 1.27s/step] Training: 6%|▋ | 4479/70000 [1:34:18<22:39:12, 1.24s/step] Training: 6%|▋ | 4480/70000 [1:34:19<22:35:07, 1.24s/step] Training: 6%|▋ | 4481/70000 [1:34:21<22:17:34, 1.22s/step] Training: 6%|▋ | 4482/70000 [1:34:22<23:00:37, 1.26s/step] Training: 6%|▋ | 4483/70000 [1:34:23<23:18:36, 1.28s/step] Training: 6%|▋ | 4484/70000 [1:34:25<23:35:27, 1.30s/step] Training: 6%|▋ | 4485/70000 [1:34:26<23:44:56, 1.30s/step] Training: 6%|▋ | 4486/70000 [1:34:27<23:21:17, 1.28s/step] Training: 6%|▋ | 4487/70000 [1:34:28<22:50:40, 1.26s/step] Training: 6%|▋ | 4488/70000 [1:34:30<22:34:12, 1.24s/step] Training: 6%|▋ | 4489/70000 [1:34:31<22:17:18, 1.22s/step] Training: 6%|▋ | 4490/70000 [1:34:32<22:46:21, 1.25s/step] Training: 6%|▋ | 4491/70000 [1:34:33<23:12:47, 1.28s/step] Training: 6%|▋ | 4492/70000 [1:34:35<23:38:11, 1.30s/step] Training: 6%|▋ | 4493/70000 [1:34:36<23:14:06, 1.28s/step] Training: 6%|▋ | 4494/70000 [1:34:37<22:51:50, 1.26s/step] Training: 6%|▋ | 4495/70000 [1:34:38<22:30:56, 1.24s/step] Training: 6%|▋ | 4496/70000 [1:34:40<22:59:04, 1.26s/step] Training: 6%|▋ | 4497/70000 [1:34:41<22:34:09, 1.24s/step] Training: 6%|▋ | 4498/70000 [1:34:42<23:00:58, 1.26s/step] Training: 6%|▋ | 4499/70000 [1:34:43<22:52:41, 1.26s/step] Training: 6%|▋ | 4500/70000 [1:34:45<22:44:30, 1.25s/step]INFO 2026-03-12 21:44:37 ot_train.py:435 step:4K smpl:288K ep:980 epch:3.81 loss:0.282 grdn:17.169 lr:2.5e-05 updt_s:1.246 data_s:0.018 Training: 6%|▋ | 4501/70000 [1:34:46<22:33:03, 1.24s/step] Training: 6%|▋ | 4502/70000 [1:34:47<23:02:00, 1.27s/step] Training: 6%|▋ | 4503/70000 [1:34:48<22:37:39, 1.24s/step] Training: 6%|▋ | 4504/70000 [1:34:50<23:06:30, 1.27s/step] Training: 6%|▋ | 4505/70000 [1:34:51<22:40:07, 1.25s/step] Training: 6%|▋ | 4506/70000 [1:34:52<23:07:45, 1.27s/step] Training: 6%|▋ | 4507/70000 [1:34:54<22:52:45, 1.26s/step] Training: 6%|▋ | 4508/70000 [1:34:55<23:15:20, 1.28s/step] Training: 6%|▋ | 4509/70000 [1:34:56<23:30:06, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=54289 Training: 6%|▋ | 4510/70000 [1:34:57<23:41:56, 1.30s/step] Training: 6%|▋ | 4511/70000 [1:34:59<23:06:55, 1.27s/step] Training: 6%|▋ | 4512/70000 [1:35:00<22:53:06, 1.26s/step] Training: 6%|▋ | 4513/70000 [1:35:01<22:29:47, 1.24s/step] Training: 6%|▋ | 4514/70000 [1:35:02<22:32:12, 1.24s/step] Training: 6%|▋ | 4515/70000 [1:35:04<23:07:28, 1.27s/step] Training: 6%|▋ | 4516/70000 [1:35:05<23:25:26, 1.29s/step] Training: 6%|▋ | 4517/70000 [1:35:06<23:39:14, 1.30s/step] Training: 6%|▋ | 4518/70000 [1:35:08<23:17:44, 1.28s/step] Training: 6%|▋ | 4519/70000 [1:35:09<22:47:04, 1.25s/step] Training: 6%|▋ | 4520/70000 [1:35:10<22:33:30, 1.24s/step] Training: 6%|▋ | 4521/70000 [1:35:11<22:16:30, 1.22s/step] Training: 6%|▋ | 4522/70000 [1:35:12<22:22:00, 1.23s/step] Training: 6%|▋ | 4523/70000 [1:35:14<22:58:13, 1.26s/step] Training: 6%|▋ | 4524/70000 [1:35:15<23:35:52, 1.30s/step] Training: 6%|▋ | 4525/70000 [1:35:16<23:13:12, 1.28s/step] Training: 6%|▋ | 4526/70000 [1:35:18<22:51:01, 1.26s/step] Training: 6%|▋ | 4527/70000 [1:35:19<22:29:30, 1.24s/step] Training: 6%|▋ | 4528/70000 [1:35:20<23:02:46, 1.27s/step] Training: 6%|▋ | 4529/70000 [1:35:21<22:36:54, 1.24s/step] Training: 6%|▋ | 4530/70000 [1:35:23<23:13:42, 1.28s/step] Training: 6%|▋ | 4531/70000 [1:35:24<22:58:11, 1.26s/step] Training: 6%|▋ | 4532/70000 [1:35:25<22:50:25, 1.26s/step] Training: 6%|▋ | 4533/70000 [1:35:26<22:40:31, 1.25s/step] Training: 6%|▋ | 4534/70000 [1:35:28<23:03:35, 1.27s/step] Training: 6%|▋ | 4535/70000 [1:35:29<22:38:28, 1.25s/step] Training: 6%|▋ | 4536/70000 [1:35:30<23:12:51, 1.28s/step] Training: 6%|▋ | 4537/70000 [1:35:31<22:43:21, 1.25s/step] Training: 6%|▋ | 4538/70000 [1:35:33<23:08:58, 1.27s/step] Training: 6%|▋ | 4539/70000 [1:35:34<23:30:49, 1.29s/step] Training: 6%|▋ | 4540/70000 [1:35:35<23:39:23, 1.30s/step] Training: 6%|▋ | 4541/70000 [1:35:37<23:48:20, 1.31s/step] Training: 6%|▋ | 4542/70000 [1:35:38<23:53:26, 1.31s/step] Training: 6%|▋ | 4543/70000 [1:35:39<23:11:58, 1.28s/step] Training: 6%|▋ | 4544/70000 [1:35:40<22:59:52, 1.26s/step] Training: 6%|▋ | 4545/70000 [1:35:42<22:34:24, 1.24s/step] Training: 6%|▋ | 4546/70000 [1:35:43<22:31:34, 1.24s/step] Training: 6%|▋ | 4547/70000 [1:35:44<23:47:37, 1.31s/step] Training: 6%|▋ | 4548/70000 [1:35:46<23:54:51, 1.32s/step] Training: 6%|▋ | 4549/70000 [1:35:47<24:04:59, 1.32s/step] Training: 6%|▋ | 4550/70000 [1:35:48<24:36:13, 1.35s/step] Training: 7%|▋ | 4551/70000 [1:35:50<23:44:58, 1.31s/step] Training: 7%|▋ | 4552/70000 [1:35:51<23:10:31, 1.27s/step] Training: 7%|▋ | 4553/70000 [1:35:52<22:41:46, 1.25s/step] Training: 7%|▋ | 4554/70000 [1:35:53<22:27:47, 1.24s/step] Training: 7%|▋ | 4555/70000 [1:35:55<23:03:07, 1.27s/step] Training: 7%|▋ | 4556/70000 [1:35:56<23:34:06, 1.30s/step] Training: 7%|▋ | 4557/70000 [1:35:57<23:13:55, 1.28s/step] Training: 7%|▋ | 4558/70000 [1:35:58<22:51:10, 1.26s/step] Training: 7%|▋ | 4559/70000 [1:36:00<22:28:51, 1.24s/step] Training: 7%|▋ | 4560/70000 [1:36:01<22:56:37, 1.26s/step] Training: 7%|▋ | 4561/70000 [1:36:02<22:34:16, 1.24s/step] Training: 7%|▋ | 4562/70000 [1:36:03<22:58:42, 1.26s/step] Training: 7%|▋ | 4563/70000 [1:36:05<23:16:54, 1.28s/step] Training: 7%|▋ | 4564/70000 [1:36:06<23:04:16, 1.27s/step] Training: 7%|▋ | 4565/70000 [1:36:07<22:44:52, 1.25s/step] Training: 7%|▋ | 4566/70000 [1:36:09<23:08:33, 1.27s/step] Training: 7%|▋ | 4567/70000 [1:36:10<22:40:57, 1.25s/step] Training: 7%|▋ | 4568/70000 [1:36:11<23:07:10, 1.27s/step] Training: 7%|▋ | 4569/70000 [1:36:12<22:41:35, 1.25s/step] Training: 7%|▋ | 4570/70000 [1:36:14<23:03:21, 1.27s/step] Training: 7%|▋ | 4571/70000 [1:36:15<23:30:08, 1.29s/step] Training: 7%|▋ | 4572/70000 [1:36:16<22:59:54, 1.27s/step] Training: 7%|▋ | 4573/70000 [1:36:17<23:08:31, 1.27s/step] Training: 7%|▋ | 4574/70000 [1:36:19<23:58:16, 1.32s/step] Training: 7%|▋ | 4575/70000 [1:36:20<23:16:23, 1.28s/step] Training: 7%|▋ | 4576/70000 [1:36:21<22:56:48, 1.26s/step] Training: 7%|▋ | 4577/70000 [1:36:22<22:31:31, 1.24s/step] Training: 7%|▋ | 4578/70000 [1:36:24<22:28:17, 1.24s/step] Training: 7%|▋ | 4579/70000 [1:36:25<22:58:14, 1.26s/step] Training: 7%|▋ | 4580/70000 [1:36:26<23:18:57, 1.28s/step] Training: 7%|▋ | 4581/70000 [1:36:27<22:48:05, 1.25s/step] Training: 7%|▋ | 4582/70000 [1:36:29<22:41:45, 1.25s/step] Training: 7%|▋ | 4583/70000 [1:36:30<22:23:34, 1.23s/step] Training: 7%|▋ | 4584/70000 [1:36:31<22:15:05, 1.22s/step] Training: 7%|▋ | 4585/70000 [1:36:32<22:05:54, 1.22s/step] Training: 7%|▋ | 4586/70000 [1:36:34<22:02:31, 1.21s/step] Training: 7%|▋ | 4587/70000 [1:36:35<22:48:27, 1.26s/step] Training: 7%|▋ | 4588/70000 [1:36:36<23:10:55, 1.28s/step] Training: 7%|▋ | 4589/70000 [1:36:37<22:47:29, 1.25s/step] Training: 7%|▋ | 4590/70000 [1:36:39<22:34:29, 1.24s/step] Training: 7%|▋ | 4591/70000 [1:36:40<22:17:50, 1.23s/step] Training: 7%|▋ | 4592/70000 [1:36:41<22:51:39, 1.26s/step] Training: 7%|▋ | 4593/70000 [1:36:42<22:29:17, 1.24s/step] Training: 7%|▋ | 4594/70000 [1:36:44<22:58:29, 1.26s/step] Training: 7%|▋ | 4595/70000 [1:36:45<23:42:14, 1.30s/step] Training: 7%|▋ | 4596/70000 [1:36:46<23:22:45, 1.29s/step] Training: 7%|▋ | 4597/70000 [1:36:48<23:05:46, 1.27s/step] Training: 7%|▋ | 4598/70000 [1:36:49<23:25:34, 1.29s/step] Training: 7%|▋ | 4599/70000 [1:36:50<22:54:13, 1.26s/step] Training: 7%|▋ | 4600/70000 [1:36:51<23:14:16, 1.28s/step]INFO 2026-03-12 21:46:44 ot_train.py:435 step:5K smpl:294K ep:1K epch:3.90 loss:0.266 grdn:17.379 lr:2.5e-05 updt_s:1.246 data_s:0.019 Training: 7%|▋ | 4601/70000 [1:36:53<22:44:33, 1.25s/step] Training: 7%|▋ | 4602/70000 [1:36:54<22:25:17, 1.23s/step] Training: 7%|▋ | 4603/70000 [1:36:55<23:41:09, 1.30s/step] Training: 7%|▋ | 4604/70000 [1:36:56<23:11:18, 1.28s/step] Training: 7%|▋ | 4605/70000 [1:36:58<23:12:34, 1.28s/step] Training: 7%|▋ | 4606/70000 [1:36:59<23:24:08, 1.29s/step] Training: 7%|▋ | 4607/70000 [1:37:00<23:39:13, 1.30s/step] Training: 7%|▋ | 4608/70000 [1:37:02<23:17:39, 1.28s/step] Training: 7%|▋ | 4609/70000 [1:37:03<22:47:17, 1.25s/step] Training: 7%|▋ | 4610/70000 [1:37:04<22:26:27, 1.24s/step] Training: 7%|▋ | 4611/70000 [1:37:05<23:28:46, 1.29s/step] Training: 7%|▋ | 4612/70000 [1:37:07<23:40:42, 1.30s/step] Training: 7%|▋ | 4613/70000 [1:37:08<23:48:26, 1.31s/step] Training: 7%|▋ | 4614/70000 [1:37:09<23:08:52, 1.27s/step] Training: 7%|▋ | 4615/70000 [1:37:11<23:23:56, 1.29s/step] Training: 7%|▋ | 4616/70000 [1:37:12<22:57:36, 1.26s/step] Training: 7%|▋ | 4617/70000 [1:37:13<22:34:43, 1.24s/step] Training: 7%|▋ | 4618/70000 [1:37:14<22:16:21, 1.23s/step] Training: 7%|▋ | 4619/70000 [1:37:16<23:01:21, 1.27s/step] Training: 7%|▋ | 4620/70000 [1:37:17<23:21:58, 1.29s/step] Training: 7%|▋ | 4621/70000 [1:37:18<22:56:47, 1.26s/step] Training: 7%|▋ | 4622/70000 [1:37:19<22:31:55, 1.24s/step] Training: 7%|▋ | 4623/70000 [1:37:20<22:17:53, 1.23s/step] Training: 7%|▋ | 4624/70000 [1:37:22<22:49:27, 1.26s/step] Training: 7%|▋ | 4625/70000 [1:37:23<22:28:23, 1.24s/step] Training: 7%|▋ | 4626/70000 [1:37:24<22:13:29, 1.22s/step] Training: 7%|▋ | 4627/70000 [1:37:26<23:32:11, 1.30s/step] Training: 7%|▋ | 4628/70000 [1:37:27<23:11:44, 1.28s/step] Training: 7%|▋ | 4629/70000 [1:37:28<22:58:00, 1.26s/step] Training: 7%|▋ | 4630/70000 [1:37:29<22:32:34, 1.24s/step] Training: 7%|▋ | 4631/70000 [1:37:30<22:14:40, 1.23s/step] Training: 7%|▋ | 4632/70000 [1:37:32<22:51:50, 1.26s/step] Training: 7%|▋ | 4633/70000 [1:37:33<22:28:37, 1.24s/step] Training: 7%|▋ | 4634/70000 [1:37:34<22:11:59, 1.22s/step] Training: 7%|▋ | 4635/70000 [1:37:36<22:53:02, 1.26s/step] Training: 7%|▋ | 4636/70000 [1:37:37<22:39:34, 1.25s/step] Training: 7%|▋ | 4637/70000 [1:37:38<22:51:50, 1.26s/step] Training: 7%|▋ | 4638/70000 [1:37:39<23:12:29, 1.28s/step] Training: 7%|▋ | 4639/70000 [1:37:41<22:57:53, 1.26s/step] Training: 7%|▋ | 4640/70000 [1:37:42<22:42:37, 1.25s/step] Training: 7%|▋ | 4641/70000 [1:37:43<22:22:16, 1.23s/step] Training: 7%|▋ | 4642/70000 [1:37:44<22:07:24, 1.22s/step] Training: 7%|▋ | 4643/70000 [1:37:46<22:41:29, 1.25s/step] Training: 7%|▋ | 4644/70000 [1:37:47<23:07:56, 1.27s/step] Training: 7%|▋ | 4645/70000 [1:37:48<22:39:59, 1.25s/step] Training: 7%|▋ | 4646/70000 [1:37:49<22:20:34, 1.23s/step] Training: 7%|▋ | 4647/70000 [1:37:50<22:12:20, 1.22s/step] Training: 7%|▋ | 4648/70000 [1:37:52<22:09:24, 1.22s/step] Training: 7%|▋ | 4649/70000 [1:37:53<21:59:05, 1.21s/step] Training: 7%|▋ | 4650/70000 [1:37:54<21:50:57, 1.20s/step] Training: 7%|▋ | 4651/70000 [1:37:55<22:47:03, 1.26s/step] Training: 7%|▋ | 4652/70000 [1:37:57<23:15:57, 1.28s/step] Training: 7%|▋ | 4653/70000 [1:37:58<23:00:31, 1.27s/step] Training: 7%|▋ | 4654/70000 [1:37:59<22:33:12, 1.24s/step] Training: 7%|▋ | 4655/70000 [1:38:00<23:01:55, 1.27s/step] Training: 7%|▋ | 4656/70000 [1:38:02<23:21:53, 1.29s/step] Training: 7%|▋ | 4657/70000 [1:38:03<22:49:18, 1.26s/step] Training: 7%|▋ | 4658/70000 [1:38:04<22:26:30, 1.24s/step] Training: 7%|▋ | 4659/70000 [1:38:06<23:18:07, 1.28s/step] Training: 7%|▋ | 4660/70000 [1:38:07<22:59:48, 1.27s/step] Training: 7%|▋ | 4661/70000 [1:38:08<22:42:49, 1.25s/step] Training: 7%|▋ | 4662/70000 [1:38:09<22:22:19, 1.23s/step] Training: 7%|▋ | 4663/70000 [1:38:11<22:52:24, 1.26s/step] Training: 7%|▋ | 4664/70000 [1:38:12<23:18:05, 1.28s/step] Training: 7%|▋ | 4665/70000 [1:38:13<22:47:08, 1.26s/step] Training: 7%|▋ | 4666/70000 [1:38:14<22:24:36, 1.23s/step] Training: 7%|▋ | 4667/70000 [1:38:16<23:05:45, 1.27s/step] Training: 7%|▋ | 4668/70000 [1:38:17<22:53:06, 1.26s/step] Training: 7%|▋ | 4669/70000 [1:38:18<22:53:57, 1.26s/step] Training: 7%|▋ | 4670/70000 [1:38:19<23:14:07, 1.28s/step] Training: 7%|▋ | 4671/70000 [1:38:21<22:57:05, 1.26s/step] Training: 7%|▋ | 4672/70000 [1:38:22<22:37:56, 1.25s/step] Training: 7%|▋ | 4673/70000 [1:38:23<22:19:02, 1.23s/step] Training: 7%|▋ | 4674/70000 [1:38:24<22:06:37, 1.22s/step] Training: 7%|▋ | 4675/70000 [1:38:26<22:44:19, 1.25s/step] Training: 7%|▋ | 4676/70000 [1:38:27<23:11:13, 1.28s/step] Training: 7%|▋ | 4677/70000 [1:38:28<22:44:30, 1.25s/step] Training: 7%|▋ | 4678/70000 [1:38:29<22:43:45, 1.25s/step] Training: 7%|▋ | 4679/70000 [1:38:31<22:28:38, 1.24s/step] Training: 7%|▋ | 4680/70000 [1:38:32<22:25:25, 1.24s/step] Training: 7%|▋ | 4681/70000 [1:38:33<22:09:37, 1.22s/step] Training: 7%|▋ | 4682/70000 [1:38:34<22:00:09, 1.21s/step] Training: 7%|▋ | 4683/70000 [1:38:36<22:48:34, 1.26s/step] Training: 7%|▋ | 4684/70000 [1:38:37<23:10:35, 1.28s/step] Training: 7%|▋ | 4685/70000 [1:38:38<22:41:08, 1.25s/step] Training: 7%|▋ | 4686/70000 [1:38:39<22:33:25, 1.24s/step] Training: 7%|▋ | 4687/70000 [1:38:41<23:03:34, 1.27s/step] Training: 7%|▋ | 4688/70000 [1:38:42<22:37:10, 1.25s/step] Training: 7%|▋ | 4689/70000 [1:38:43<22:56:32, 1.26s/step] Training: 7%|▋ | 4690/70000 [1:38:44<22:34:31, 1.24s/step] Training: 7%|▋ | 4691/70000 [1:38:46<23:27:07, 1.29s/step] Training: 7%|▋ | 4692/70000 [1:38:47<23:05:54, 1.27s/step] Training: 7%|▋ | 4693/70000 [1:38:48<22:39:08, 1.25s/step] Training: 7%|▋ | 4694/70000 [1:38:49<23:07:01, 1.27s/step] Training: 7%|▋ | 4695/70000 [1:38:51<23:27:23, 1.29s/step] Training: 7%|▋ | 4696/70000 [1:38:52<23:39:30, 1.30s/step] Training: 7%|▋ | 4697/70000 [1:38:53<23:02:16, 1.27s/step] Training: 7%|▋ | 4698/70000 [1:38:55<22:37:22, 1.25s/step] Training: 7%|▋ | 4699/70000 [1:38:56<23:21:24, 1.29s/step] Training: 7%|▋ | 4700/70000 [1:38:57<23:02:02, 1.27s/step]INFO 2026-03-12 21:48:49 ot_train.py:435 step:5K smpl:301K ep:1K epch:3.98 loss:0.274 grdn:17.698 lr:2.5e-05 updt_s:1.237 data_s:0.018 Training: 7%|▋ | 4701/70000 [1:38:58<23:04:59, 1.27s/step] Training: 7%|▋ | 4702/70000 [1:39:00<23:22:42, 1.29s/step] Training: 7%|▋ | 4703/70000 [1:39:01<23:06:45, 1.27s/step] Training: 7%|▋ | 4704/70000 [1:39:02<22:44:02, 1.25s/step] Training: 7%|▋ | 4705/70000 [1:39:03<22:23:17, 1.23s/step] Training: 7%|▋ | 4706/70000 [1:39:05<22:07:16, 1.22s/step] Training: 7%|▋ | 4707/70000 [1:39:06<22:42:14, 1.25s/step] Training: 7%|▋ | 4708/70000 [1:39:07<22:22:17, 1.23s/step] Training: 7%|▋ | 4709/70000 [1:39:08<22:46:38, 1.26s/step] Training: 7%|▋ | 4710/70000 [1:39:10<23:11:17, 1.28s/step] Training: 7%|▋ | 4711/70000 [1:39:11<22:52:48, 1.26s/step] Training: 7%|▋ | 4712/70000 [1:39:12<22:42:47, 1.25s/step] Training: 7%|▋ | 4713/70000 [1:39:13<22:21:38, 1.23s/step] Training: 7%|▋ | 4714/70000 [1:39:15<22:06:10, 1.22s/step] Training: 7%|▋ | 4715/70000 [1:39:16<22:46:25, 1.26s/step] Training: 7%|▋ | 4716/70000 [1:39:17<23:41:50, 1.31s/step] Training: 7%|▋ | 4717/70000 [1:39:18<23:02:50, 1.27s/step] Training: 7%|▋ | 4718/70000 [1:39:20<22:41:06, 1.25s/step] Training: 7%|▋ | 4719/70000 [1:39:21<23:10:42, 1.28s/step] Training: 7%|▋ | 4720/70000 [1:39:23<28:40:55, 1.58s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 7%|▋ | 4721/70000 [1:39:27<42:09:49, 2.33s/step] Training: 7%|▋ | 4722/70000 [1:39:29<36:01:33, 1.99s/step] Training: 7%|▋ | 4723/70000 [1:39:30<33:07:39, 1.83s/step] Training: 7%|▋ | 4724/70000 [1:39:31<30:43:15, 1.69s/step] Training: 7%|▋ | 4725/70000 [1:39:33<27:55:24, 1.54s/step] Training: 7%|▋ | 4726/70000 [1:39:34<27:05:45, 1.49s/step] Training: 7%|▋ | 4727/70000 [1:39:35<26:30:07, 1.46s/step] Training: 7%|▋ | 4728/70000 [1:39:37<25:03:43, 1.38s/step] Training: 7%|▋ | 4729/70000 [1:39:38<24:00:17, 1.32s/step] Training: 7%|▋ | 4730/70000 [1:39:39<23:16:56, 1.28s/step] Training: 7%|▋ | 4731/70000 [1:39:40<23:36:06, 1.30s/step] Training: 7%|▋ | 4732/70000 [1:39:42<23:15:03, 1.28s/step] Training: 7%|▋ | 4733/70000 [1:39:43<23:15:36, 1.28s/step] Training: 7%|▋ | 4734/70000 [1:39:44<23:31:53, 1.30s/step] Training: 7%|▋ | 4735/70000 [1:39:45<23:11:18, 1.28s/step] Training: 7%|▋ | 4736/70000 [1:39:47<22:55:20, 1.26s/step] Training: 7%|▋ | 4737/70000 [1:39:48<22:32:00, 1.24s/step] Training: 7%|▋ | 4738/70000 [1:39:49<22:15:32, 1.23s/step] Training: 7%|▋ | 4739/70000 [1:39:50<22:55:58, 1.27s/step] Training: 7%|▋ | 4740/70000 [1:39:52<23:25:33, 1.29s/step] Training: 7%|▋ | 4741/70000 [1:39:53<23:31:02, 1.30s/step] Training: 7%|▋ | 4742/70000 [1:39:54<23:44:09, 1.31s/step] Training: 7%|▋ | 4743/70000 [1:39:56<23:18:42, 1.29s/step] Training: 7%|▋ | 4744/70000 [1:39:57<22:57:41, 1.27s/step] Training: 7%|▋ | 4745/70000 [1:39:58<22:32:16, 1.24s/step] Training: 7%|▋ | 4746/70000 [1:39:59<22:14:57, 1.23s/step] Training: 7%|▋ | 4747/70000 [1:40:01<22:52:37, 1.26s/step] Training: 7%|▋ | 4748/70000 [1:40:02<23:22:45, 1.29s/step] Training: 7%|▋ | 4749/70000 [1:40:03<23:28:08, 1.29s/step] Training: 7%|▋ | 4750/70000 [1:40:04<22:59:51, 1.27s/step] Training: 7%|▋ | 4751/70000 [1:40:06<23:25:39, 1.29s/step] Training: 7%|▋ | 4752/70000 [1:40:07<23:39:59, 1.31s/step] Training: 7%|▋ | 4753/70000 [1:40:08<23:00:48, 1.27s/step] Training: 7%|▋ | 4754/70000 [1:40:09<22:34:19, 1.25s/step] Training: 7%|▋ | 4755/70000 [1:40:11<23:20:13, 1.29s/step] Training: 7%|▋ | 4756/70000 [1:40:12<23:14:57, 1.28s/step] Training: 7%|▋ | 4757/70000 [1:40:13<23:12:19, 1.28s/step] Training: 7%|▋ | 4758/70000 [1:40:15<23:26:14, 1.29s/step] Training: 7%|▋ | 4759/70000 [1:40:16<23:38:36, 1.30s/step] Training: 7%|▋ | 4760/70000 [1:40:17<23:44:19, 1.31s/step] Training: 7%|▋ | 4761/70000 [1:40:19<23:04:53, 1.27s/step] Training: 7%|▋ | 4762/70000 [1:40:20<22:36:03, 1.25s/step] Training: 7%|▋ | 4763/70000 [1:40:21<23:02:35, 1.27s/step] Training: 7%|▋ | 4764/70000 [1:40:22<22:35:28, 1.25s/step] Training: 7%|▋ | 4765/70000 [1:40:24<23:07:00, 1.28s/step] Training: 7%|▋ | 4766/70000 [1:40:25<23:27:06, 1.29s/step] Training: 7%|▋ | 4767/70000 [1:40:26<23:07:46, 1.28s/step] Training: 7%|▋ | 4768/70000 [1:40:27<22:46:51, 1.26s/step] Training: 7%|▋ | 4769/70000 [1:40:29<22:24:28, 1.24s/step] Training: 7%|▋ | 4770/70000 [1:40:30<22:08:03, 1.22s/step] Training: 7%|▋ | 4771/70000 [1:40:31<22:43:45, 1.25s/step] Training: 7%|▋ | 4772/70000 [1:40:32<23:09:33, 1.28s/step] Training: 7%|▋ | 4773/70000 [1:40:34<23:01:02, 1.27s/step] Training: 7%|▋ | 4774/70000 [1:40:35<23:20:39, 1.29s/step] Training: 7%|▋ | 4775/70000 [1:40:36<22:54:43, 1.26s/step] Training: 7%|▋ | 4776/70000 [1:40:37<22:45:04, 1.26s/step] Training: 7%|▋ | 4777/70000 [1:40:39<22:24:01, 1.24s/step] Training: 7%|▋ | 4778/70000 [1:40:40<22:09:42, 1.22s/step] Training: 7%|▋ | 4779/70000 [1:40:41<22:48:30, 1.26s/step] Training: 7%|▋ | 4780/70000 [1:40:42<22:34:53, 1.25s/step] Training: 7%|▋ | 4781/70000 [1:40:44<22:54:48, 1.26s/step] Training: 7%|▋ | 4782/70000 [1:40:45<22:34:05, 1.25s/step] Training: 7%|▋ | 4783/70000 [1:40:46<23:01:06, 1.27s/step] Training: 7%|▋ | 4784/70000 [1:40:47<22:35:54, 1.25s/step] Training: 7%|▋ | 4785/70000 [1:40:49<22:58:28, 1.27s/step] Training: 7%|▋ | 4786/70000 [1:40:50<22:34:51, 1.25s/step] Training: 7%|▋ | 4787/70000 [1:40:51<23:19:56, 1.29s/step] Training: 7%|▋ | 4788/70000 [1:40:53<23:01:37, 1.27s/step] Training: 7%|▋ | 4789/70000 [1:40:54<23:35:18, 1.30s/step] Training: 7%|▋ | 4790/70000 [1:40:55<23:42:08, 1.31s/step] Training: 7%|▋ | 4791/70000 [1:40:56<23:03:06, 1.27s/step] Training: 7%|▋ | 4792/70000 [1:40:58<24:00:26, 1.33s/step] Training: 7%|▋ | 4793/70000 [1:40:59<23:16:02, 1.28s/step] Training: 7%|▋ | 4794/70000 [1:41:00<22:44:05, 1.26s/step] Training: 7%|▋ | 4795/70000 [1:41:02<23:05:34, 1.27s/step] Training: 7%|▋ | 4796/70000 [1:41:03<22:38:06, 1.25s/step] Training: 7%|▋ | 4797/70000 [1:41:04<23:53:46, 1.32s/step] Training: 7%|▋ | 4798/70000 [1:41:06<23:58:32, 1.32s/step] Training: 7%|▋ | 4799/70000 [1:41:07<23:15:07, 1.28s/step] Training: 7%|▋ | 4800/70000 [1:41:08<23:22:57, 1.29s/step]INFO 2026-03-12 21:51:00 ot_train.py:435 step:5K smpl:307K ep:1K epch:4.07 loss:0.243 grdn:15.877 lr:2.5e-05 updt_s:1.253 data_s:0.054 Training: 7%|▋ | 4801/70000 [1:41:09<22:49:48, 1.26s/step] Training: 7%|▋ | 4802/70000 [1:41:10<22:29:36, 1.24s/step] Training: 7%|▋ | 4803/70000 [1:41:12<22:56:45, 1.27s/step] Training: 7%|▋ | 4804/70000 [1:41:13<23:15:10, 1.28s/step] Training: 7%|▋ | 4805/70000 [1:41:14<23:38:13, 1.31s/step] Training: 7%|▋ | 4806/70000 [1:41:16<23:43:42, 1.31s/step] Training: 7%|▋ | 4807/70000 [1:41:17<23:05:17, 1.27s/step] Training: 7%|▋ | 4808/70000 [1:41:18<22:54:03, 1.26s/step] Training: 7%|▋ | 4809/70000 [1:41:19<22:29:18, 1.24s/step] Training: 7%|▋ | 4810/70000 [1:41:21<22:11:52, 1.23s/step] Training: 7%|▋ | 4811/70000 [1:41:22<22:45:33, 1.26s/step] Training: 7%|▋ | 4812/70000 [1:41:23<22:27:04, 1.24s/step] Training: 7%|▋ | 4813/70000 [1:41:24<22:37:35, 1.25s/step] Training: 7%|▋ | 4814/70000 [1:41:26<22:22:03, 1.24s/step] Training: 7%|▋ | 4815/70000 [1:41:27<22:07:31, 1.22s/step] Training: 7%|▋ | 4816/70000 [1:41:28<22:37:05, 1.25s/step] Training: 7%|▋ | 4817/70000 [1:41:29<22:52:56, 1.26s/step] Training: 7%|▋ | 4818/70000 [1:41:31<22:31:25, 1.24s/step] Training: 7%|▋ | 4819/70000 [1:41:32<23:09:39, 1.28s/step] Training: 7%|▋ | 4820/70000 [1:41:33<22:53:05, 1.26s/step] Training: 7%|▋ | 4821/70000 [1:41:35<23:23:51, 1.29s/step] Training: 7%|▋ | 4822/70000 [1:41:36<23:34:17, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=635 Training: 7%|▋ | 4823/70000 [1:41:37<22:57:37, 1.27s/step] Training: 7%|▋ | 4824/70000 [1:41:38<23:17:17, 1.29s/step] Training: 7%|▋ | 4825/70000 [1:41:40<22:47:38, 1.26s/step] Training: 7%|▋ | 4826/70000 [1:41:41<22:24:51, 1.24s/step] Training: 7%|▋ | 4827/70000 [1:41:42<22:55:24, 1.27s/step] Training: 7%|▋ | 4828/70000 [1:41:43<22:32:36, 1.25s/step] Training: 7%|▋ | 4829/70000 [1:41:45<23:41:16, 1.31s/step] Training: 7%|▋ | 4830/70000 [1:41:46<23:50:00, 1.32s/step] Training: 7%|▋ | 4831/70000 [1:41:47<23:09:16, 1.28s/step] Training: 7%|▋ | 4832/70000 [1:41:49<22:49:30, 1.26s/step] Training: 7%|▋ | 4833/70000 [1:41:50<22:26:58, 1.24s/step] Training: 7%|▋ | 4834/70000 [1:41:51<22:09:57, 1.22s/step] Training: 7%|▋ | 4835/70000 [1:41:52<22:43:22, 1.26s/step] Training: 7%|▋ | 4836/70000 [1:41:54<23:08:35, 1.28s/step] Training: 7%|▋ | 4837/70000 [1:41:55<23:43:25, 1.31s/step] Training: 7%|▋ | 4838/70000 [1:41:56<23:50:07, 1.32s/step] Training: 7%|▋ | 4839/70000 [1:41:57<23:08:02, 1.28s/step] Training: 7%|▋ | 4840/70000 [1:41:59<23:23:15, 1.29s/step] Training: 7%|▋ | 4841/70000 [1:42:00<22:50:43, 1.26s/step] Training: 7%|▋ | 4842/70000 [1:42:01<22:27:06, 1.24s/step] Training: 7%|▋ | 4843/70000 [1:42:03<22:58:44, 1.27s/step] Training: 7%|▋ | 4844/70000 [1:42:04<23:21:49, 1.29s/step] Training: 7%|▋ | 4845/70000 [1:42:05<23:11:36, 1.28s/step] Training: 7%|▋ | 4846/70000 [1:42:06<22:48:28, 1.26s/step] Training: 7%|▋ | 4847/70000 [1:42:08<22:25:17, 1.24s/step] Training: 7%|▋ | 4848/70000 [1:42:09<22:55:38, 1.27s/step] Training: 7%|▋ | 4849/70000 [1:42:10<22:31:54, 1.25s/step] Training: 7%|▋ | 4850/70000 [1:42:11<22:12:50, 1.23s/step] Training: 7%|▋ | 4851/70000 [1:42:13<23:06:22, 1.28s/step] Training: 7%|▋ | 4852/70000 [1:42:14<23:22:18, 1.29s/step] Training: 7%|▋ | 4853/70000 [1:42:15<23:00:24, 1.27s/step] Training: 7%|▋ | 4854/70000 [1:42:17<23:48:19, 1.32s/step] Training: 7%|▋ | 4855/70000 [1:42:18<23:08:23, 1.28s/step] Training: 7%|▋ | 4856/70000 [1:42:19<23:24:11, 1.29s/step] Training: 7%|▋ | 4857/70000 [1:42:20<22:51:45, 1.26s/step] Training: 7%|▋ | 4858/70000 [1:42:21<22:27:12, 1.24s/step] Training: 7%|▋ | 4859/70000 [1:42:23<22:59:47, 1.27s/step] Training: 7%|▋ | 4860/70000 [1:42:24<22:41:26, 1.25s/step] Training: 7%|▋ | 4861/70000 [1:42:25<22:20:14, 1.23s/step] Training: 7%|▋ | 4862/70000 [1:42:27<23:36:47, 1.31s/step] Training: 7%|▋ | 4863/70000 [1:42:28<23:01:00, 1.27s/step] Training: 7%|▋ | 4864/70000 [1:42:29<22:51:39, 1.26s/step] Training: 7%|▋ | 4865/70000 [1:42:30<22:28:16, 1.24s/step] Training: 7%|▋ | 4866/70000 [1:42:32<22:10:25, 1.23s/step] Training: 7%|▋ | 4867/70000 [1:42:33<22:43:30, 1.26s/step] Training: 7%|▋ | 4868/70000 [1:42:34<23:10:23, 1.28s/step] Training: 7%|▋ | 4869/70000 [1:42:36<23:25:17, 1.29s/step] Training: 7%|▋ | 4870/70000 [1:42:37<23:34:45, 1.30s/step] Training: 7%|▋ | 4871/70000 [1:42:38<22:57:11, 1.27s/step] Training: 7%|▋ | 4872/70000 [1:42:39<23:15:52, 1.29s/step] Training: 7%|▋ | 4873/70000 [1:42:41<22:45:55, 1.26s/step] Training: 7%|▋ | 4874/70000 [1:42:42<22:23:01, 1.24s/step] Training: 7%|▋ | 4875/70000 [1:42:43<22:55:35, 1.27s/step] Training: 7%|▋ | 4876/70000 [1:42:44<23:20:36, 1.29s/step] Training: 7%|▋ | 4877/70000 [1:42:46<22:50:12, 1.26s/step] Training: 7%|▋ | 4878/70000 [1:42:47<23:20:54, 1.29s/step] Training: 7%|▋ | 4879/70000 [1:42:48<22:44:24, 1.26s/step] Training: 7%|▋ | 4880/70000 [1:42:49<23:07:08, 1.28s/step] Training: 7%|▋ | 4881/70000 [1:42:51<22:38:13, 1.25s/step] Training: 7%|▋ | 4882/70000 [1:42:52<22:18:19, 1.23s/step] Training: 7%|▋ | 4883/70000 [1:42:53<23:01:53, 1.27s/step] Training: 7%|▋ | 4884/70000 [1:42:54<22:46:47, 1.26s/step] Training: 7%|▋ | 4885/70000 [1:42:56<23:09:25, 1.28s/step] Training: 7%|▋ | 4886/70000 [1:42:57<23:36:08, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=635 Training: 7%|▋ | 4887/70000 [1:42:58<22:55:22, 1.27s/step] Training: 7%|▋ | 4888/70000 [1:43:00<23:15:44, 1.29s/step] Training: 7%|▋ | 4889/70000 [1:43:01<22:45:47, 1.26s/step] Training: 7%|▋ | 4890/70000 [1:43:02<22:23:04, 1.24s/step] Training: 7%|▋ | 4891/70000 [1:43:03<22:52:04, 1.26s/step] Training: 7%|▋ | 4892/70000 [1:43:05<22:35:05, 1.25s/step] Training: 7%|▋ | 4893/70000 [1:43:06<22:21:29, 1.24s/step] Training: 7%|▋ | 4894/70000 [1:43:07<22:56:41, 1.27s/step] Training: 7%|▋ | 4895/70000 [1:43:08<22:27:40, 1.24s/step] Training: 7%|▋ | 4896/70000 [1:43:10<22:30:26, 1.24s/step] Training: 7%|▋ | 4897/70000 [1:43:11<22:13:49, 1.23s/step] Training: 7%|▋ | 4898/70000 [1:43:12<22:00:16, 1.22s/step] Training: 7%|▋ | 4899/70000 [1:43:13<22:36:54, 1.25s/step] Training: 7%|▋ | 4900/70000 [1:43:15<23:08:22, 1.28s/step]INFO 2026-03-12 21:53:07 ot_train.py:435 step:5K smpl:314K ep:1K epch:4.15 loss:0.233 grdn:15.320 lr:2.5e-05 updt_s:1.244 data_s:0.019 Training: 7%|▋ | 4901/70000 [1:43:16<23:28:20, 1.30s/step] Training: 7%|▋ | 4902/70000 [1:43:17<23:35:02, 1.30s/step] Training: 7%|▋ | 4903/70000 [1:43:18<22:56:50, 1.27s/step] Training: 7%|▋ | 4904/70000 [1:43:20<23:15:48, 1.29s/step] Training: 7%|▋ | 4905/70000 [1:43:21<22:43:51, 1.26s/step] Training: 7%|▋ | 4906/70000 [1:43:22<22:22:05, 1.24s/step] Training: 7%|▋ | 4907/70000 [1:43:23<22:52:18, 1.26s/step] Training: 7%|▋ | 4908/70000 [1:43:25<23:13:44, 1.28s/step] Training: 7%|▋ | 4909/70000 [1:43:26<23:26:01, 1.30s/step] Training: 7%|▋ | 4910/70000 [1:43:28<23:48:49, 1.32s/step] Training: 7%|▋ | 4911/70000 [1:43:29<23:03:52, 1.28s/step] Training: 7%|▋ | 4912/70000 [1:43:30<23:22:06, 1.29s/step] Training: 7%|▋ | 4913/70000 [1:43:31<22:49:44, 1.26s/step] Training: 7%|▋ | 4914/70000 [1:43:32<22:25:48, 1.24s/step] Training: 7%|▋ | 4915/70000 [1:43:34<23:10:13, 1.28s/step] Training: 7%|▋ | 4916/70000 [1:43:35<22:54:08, 1.27s/step] Training: 7%|▋ | 4917/70000 [1:43:36<23:14:34, 1.29s/step] Training: 7%|▋ | 4918/70000 [1:43:38<23:36:46, 1.31s/step] Training: 7%|▋ | 4919/70000 [1:43:39<22:54:49, 1.27s/step] Training: 7%|▋ | 4920/70000 [1:43:40<23:13:41, 1.28s/step] Training: 7%|▋ | 4921/70000 [1:43:41<22:42:35, 1.26s/step] Training: 7%|▋ | 4922/70000 [1:43:43<22:19:43, 1.24s/step] Training: 7%|▋ | 4923/70000 [1:43:44<22:50:09, 1.26s/step] Training: 7%|▋ | 4924/70000 [1:43:45<22:41:36, 1.26s/step] Training: 7%|▋ | 4925/70000 [1:43:46<22:26:13, 1.24s/step] Training: 7%|▋ | 4926/70000 [1:43:48<23:01:03, 1.27s/step] Training: 7%|▋ | 4927/70000 [1:43:49<22:31:03, 1.25s/step] Training: 7%|▋ | 4928/70000 [1:43:50<22:34:39, 1.25s/step] Training: 7%|▋ | 4929/70000 [1:43:51<22:16:14, 1.23s/step] Training: 7%|▋ | 4930/70000 [1:43:53<22:01:34, 1.22s/step] Training: 7%|▋ | 4931/70000 [1:43:54<22:39:23, 1.25s/step] Training: 7%|▋ | 4932/70000 [1:43:55<22:18:48, 1.23s/step] Training: 7%|▋ | 4933/70000 [1:43:57<23:42:42, 1.31s/step] Training: 7%|▋ | 4934/70000 [1:43:58<23:48:13, 1.32s/step] Training: 7%|▋ | 4935/70000 [1:43:59<23:06:12, 1.28s/step] Training: 7%|▋ | 4936/70000 [1:44:00<23:24:50, 1.30s/step] Training: 7%|▋ | 4937/70000 [1:44:02<22:50:44, 1.26s/step] Training: 7%|▋ | 4938/70000 [1:44:03<22:26:11, 1.24s/step] Training: 7%|▋ | 4939/70000 [1:44:04<22:56:01, 1.27s/step] Training: 7%|▋ | 4940/70000 [1:44:05<23:18:01, 1.29s/step] Training: 7%|▋ | 4941/70000 [1:44:07<23:34:40, 1.30s/step] Training: 7%|▋ | 4942/70000 [1:44:08<23:53:22, 1.32s/step] Training: 7%|▋ | 4943/70000 [1:44:09<23:06:52, 1.28s/step] Training: 7%|▋ | 4944/70000 [1:44:11<23:21:45, 1.29s/step] Training: 7%|▋ | 4945/70000 [1:44:12<23:28:10, 1.30s/step] Training: 7%|▋ | 4946/70000 [1:44:13<22:52:13, 1.27s/step] Training: 7%|▋ | 4947/70000 [1:44:15<23:33:12, 1.30s/step] Training: 7%|▋ | 4948/70000 [1:44:16<23:07:33, 1.28s/step] Training: 7%|▋ | 4949/70000 [1:44:17<23:27:06, 1.30s/step] Training: 7%|▋ | 4950/70000 [1:44:18<23:45:23, 1.31s/step] Training: 7%|▋ | 4951/70000 [1:44:20<23:05:45, 1.28s/step] Training: 7%|▋ | 4952/70000 [1:44:21<23:17:30, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=57318 Training: 7%|▋ | 4953/70000 [1:44:22<23:07:26, 1.28s/step] Training: 7%|▋ | 4954/70000 [1:44:23<22:37:04, 1.25s/step] Training: 7%|▋ | 4955/70000 [1:44:25<23:07:15, 1.28s/step] Training: 7%|▋ | 4956/70000 [1:44:26<22:57:29, 1.27s/step] Training: 7%|▋ | 4957/70000 [1:44:27<22:35:14, 1.25s/step] Training: 7%|▋ | 4958/70000 [1:44:29<23:08:34, 1.28s/step] Training: 7%|▋ | 4959/70000 [1:44:30<22:36:08, 1.25s/step] Training: 7%|▋ | 4960/70000 [1:44:31<22:24:07, 1.24s/step] Training: 7%|▋ | 4961/70000 [1:44:32<22:14:42, 1.23s/step] Training: 7%|▋ | 4962/70000 [1:44:33<22:01:23, 1.22s/step] Training: 7%|▋ | 4963/70000 [1:44:35<22:37:20, 1.25s/step] Training: 7%|▋ | 4964/70000 [1:44:36<22:17:30, 1.23s/step] Training: 7%|▋ | 4965/70000 [1:44:37<23:32:22, 1.30s/step] Training: 7%|▋ | 4966/70000 [1:44:39<23:38:13, 1.31s/step] Training: 7%|▋ | 4967/70000 [1:44:40<23:01:14, 1.27s/step] Training: 7%|▋ | 4968/70000 [1:44:41<23:16:11, 1.29s/step] Training: 7%|▋ | 4969/70000 [1:44:43<23:29:59, 1.30s/step] Training: 7%|▋ | 4970/70000 [1:44:44<22:54:24, 1.27s/step] Training: 7%|▋ | 4971/70000 [1:44:45<23:17:56, 1.29s/step] Training: 7%|▋ | 4972/70000 [1:44:46<22:46:05, 1.26s/step] Training: 7%|▋ | 4973/70000 [1:44:48<23:12:09, 1.28s/step] Training: 7%|▋ | 4974/70000 [1:44:49<23:35:30, 1.31s/step] Training: 7%|▋ | 4975/70000 [1:44:50<22:55:31, 1.27s/step] Training: 7%|▋ | 4976/70000 [1:44:51<23:17:55, 1.29s/step] Training: 7%|▋ | 4977/70000 [1:44:53<22:45:09, 1.26s/step] Training: 7%|▋ | 4978/70000 [1:44:54<23:04:31, 1.28s/step] Training: 7%|▋ | 4979/70000 [1:44:55<23:44:59, 1.31s/step] Training: 7%|▋ | 4980/70000 [1:44:57<23:06:44, 1.28s/step] Training: 7%|▋ | 4981/70000 [1:44:58<23:20:56, 1.29s/step] Training: 7%|▋ | 4982/70000 [1:44:59<23:41:27, 1.31s/step] Training: 7%|▋ | 4983/70000 [1:45:00<22:59:37, 1.27s/step] Training: 7%|▋ | 4984/70000 [1:45:02<23:16:47, 1.29s/step] Training: 7%|▋ | 4985/70000 [1:45:03<22:43:59, 1.26s/step] Training: 7%|▋ | 4986/70000 [1:45:04<23:05:11, 1.28s/step] Training: 7%|▋ | 4987/70000 [1:45:06<23:18:39, 1.29s/step] Training: 7%|▋ | 4988/70000 [1:45:07<22:58:48, 1.27s/step] Training: 7%|▋ | 4989/70000 [1:45:08<22:39:12, 1.25s/step] Training: 7%|▋ | 4990/70000 [1:45:09<23:13:42, 1.29s/step] Training: 7%|▋ | 4991/70000 [1:45:11<22:40:11, 1.26s/step] Training: 7%|▋ | 4992/70000 [1:45:12<22:22:21, 1.24s/step] Training: 7%|▋ | 4993/70000 [1:45:13<22:06:35, 1.22s/step] Training: 7%|▋ | 4994/70000 [1:45:14<21:58:41, 1.22s/step] Training: 7%|▋ | 4995/70000 [1:45:15<22:38:17, 1.25s/step] Training: 7%|▋ | 4996/70000 [1:45:17<22:21:48, 1.24s/step] Training: 7%|▋ | 4997/70000 [1:45:18<23:31:06, 1.30s/step] Training: 7%|▋ | 4998/70000 [1:45:19<23:39:46, 1.31s/step] Training: 7%|▋ | 4999/70000 [1:45:21<23:02:55, 1.28s/step] Training: 7%|▋ | 5000/70000 [1:45:22<23:19:30, 1.29s/step]INFO 2026-03-12 21:55:14 ot_train.py:435 step:5K smpl:320K ep:1K epch:4.24 loss:0.243 grdn:15.658 lr:2.5e-05 updt_s:1.253 data_s:0.019 Training: 7%|▋ | 5001/70000 [1:45:23<22:46:52, 1.26s/step] Training: 7%|▋ | 5002/70000 [1:45:24<22:32:58, 1.25s/step] Training: 7%|▋ | 5003/70000 [1:45:26<23:02:00, 1.28s/step] Training: 7%|▋ | 5004/70000 [1:45:27<22:35:06, 1.25s/step] Training: 7%|▋ | 5005/70000 [1:45:28<22:56:20, 1.27s/step] Training: 7%|▋ | 5006/70000 [1:45:30<23:30:00, 1.30s/step] Training: 7%|▋ | 5007/70000 [1:45:31<22:50:38, 1.27s/step] Training: 7%|▋ | 5008/70000 [1:45:32<23:09:27, 1.28s/step] Training: 7%|▋ | 5009/70000 [1:45:33<22:39:44, 1.26s/step] Training: 7%|▋ | 5010/70000 [1:45:35<23:05:00, 1.28s/step] Training: 7%|▋ | 5011/70000 [1:45:36<23:35:02, 1.31s/step] Training: 7%|▋ | 5012/70000 [1:45:37<23:09:26, 1.28s/step] Training: 7%|▋ | 5013/70000 [1:45:39<23:22:42, 1.30s/step] Training: 7%|▋ | 5014/70000 [1:45:40<23:42:59, 1.31s/step] Training: 7%|▋ | 5015/70000 [1:45:41<23:00:43, 1.27s/step] Training: 7%|▋ | 5016/70000 [1:45:42<23:15:31, 1.29s/step] Training: 7%|▋ | 5017/70000 [1:45:44<22:45:01, 1.26s/step] Training: 7%|▋ | 5018/70000 [1:45:45<22:28:40, 1.25s/step] Training: 7%|▋ | 5019/70000 [1:45:46<22:53:12, 1.27s/step] Training: 7%|▋ | 5020/70000 [1:45:47<22:33:47, 1.25s/step] Training: 7%|▋ | 5021/70000 [1:45:49<22:21:51, 1.24s/step] Training: 7%|▋ | 5022/70000 [1:45:50<22:59:10, 1.27s/step] Training: 7%|▋ | 5023/70000 [1:45:51<22:27:17, 1.24s/step] Training: 7%|▋ | 5024/70000 [1:45:52<22:17:04, 1.23s/step] Training: 7%|▋ | 5025/70000 [1:45:54<22:02:56, 1.22s/step] Training: 7%|▋ | 5026/70000 [1:45:55<22:38:36, 1.25s/step] Training: 7%|▋ | 5027/70000 [1:45:56<23:04:36, 1.28s/step] Training: 7%|▋ | 5028/70000 [1:45:58<23:22:48, 1.30s/step] Training: 7%|▋ | 5029/70000 [1:45:59<23:31:24, 1.30s/step] Training: 7%|▋ | 5030/70000 [1:46:00<23:39:37, 1.31s/step] Training: 7%|▋ | 5031/70000 [1:46:01<23:00:36, 1.28s/step] Training: 7%|▋ | 5032/70000 [1:46:03<23:17:15, 1.29s/step] Training: 7%|▋ | 5033/70000 [1:46:04<22:45:02, 1.26s/step] Training: 7%|▋ | 5034/70000 [1:46:05<23:05:22, 1.28s/step] Training: 7%|▋ | 5035/70000 [1:46:07<23:19:48, 1.29s/step] Training: 7%|▋ | 5036/70000 [1:46:08<23:30:49, 1.30s/step] Training: 7%|▋ | 5037/70000 [1:46:09<23:39:38, 1.31s/step] Training: 7%|▋ | 5038/70000 [1:46:11<23:56:07, 1.33s/step] Training: 7%|▋ | 5039/70000 [1:46:12<23:08:42, 1.28s/step] Training: 7%|▋ | 5040/70000 [1:46:13<23:26:54, 1.30s/step] Training: 7%|▋ | 5041/70000 [1:46:14<22:52:31, 1.27s/step] Training: 7%|▋ | 5042/70000 [1:46:15<22:37:43, 1.25s/step] Training: 7%|▋ | 5043/70000 [1:46:17<23:13:42, 1.29s/step] Training: 7%|▋ | 5044/70000 [1:46:18<22:59:00, 1.27s/step] Training: 7%|▋ | 5045/70000 [1:46:19<23:14:58, 1.29s/step] Training: 7%|▋ | 5046/70000 [1:46:21<23:38:28, 1.31s/step] Training: 7%|▋ | 5047/70000 [1:46:22<22:55:45, 1.27s/step] Training: 7%|▋ | 5048/70000 [1:46:23<23:13:36, 1.29s/step] Training: 7%|▋ | 5049/70000 [1:46:24<22:42:33, 1.26s/step] Training: 7%|▋ | 5050/70000 [1:46:26<22:26:18, 1.24s/step] Training: 7%|▋ | 5051/70000 [1:46:27<22:54:32, 1.27s/step] Training: 7%|▋ | 5052/70000 [1:46:28<22:31:51, 1.25s/step] Training: 7%|▋ | 5053/70000 [1:46:29<22:16:28, 1.23s/step] Training: 7%|▋ | 5054/70000 [1:46:31<22:56:06, 1.27s/step] Training: 7%|▋ | 5055/70000 [1:46:32<22:25:08, 1.24s/step] Training: 7%|▋ | 5056/70000 [1:46:33<22:17:22, 1.24s/step] Training: 7%|▋ | 5057/70000 [1:46:34<22:04:02, 1.22s/step] Training: 7%|▋ | 5058/70000 [1:46:36<22:37:55, 1.25s/step] Training: 7%|▋ | 5059/70000 [1:46:37<23:01:55, 1.28s/step] Training: 7%|▋ | 5060/70000 [1:46:38<23:16:22, 1.29s/step] Training: 7%|▋ | 5061/70000 [1:46:40<23:25:49, 1.30s/step] Training: 7%|▋ | 5062/70000 [1:46:41<23:34:12, 1.31s/step] Training: 7%|▋ | 5063/70000 [1:46:42<22:55:22, 1.27s/step] Training: 7%|▋ | 5064/70000 [1:46:44<23:15:48, 1.29s/step] Training: 7%|▋ | 5065/70000 [1:46:45<22:44:04, 1.26s/step] Training: 7%|▋ | 5066/70000 [1:46:46<23:03:31, 1.28s/step] Training: 7%|▋ | 5067/70000 [1:46:47<23:22:43, 1.30s/step] Training: 7%|▋ | 5068/70000 [1:46:49<23:32:52, 1.31s/step] Training: 7%|▋ | 5069/70000 [1:46:50<23:39:35, 1.31s/step] Training: 7%|▋ | 5070/70000 [1:46:51<23:51:51, 1.32s/step] Training: 7%|▋ | 5071/70000 [1:46:53<23:07:37, 1.28s/step] Training: 7%|▋ | 5072/70000 [1:46:54<23:18:18, 1.29s/step] Training: 7%|▋ | 5073/70000 [1:46:55<22:43:16, 1.26s/step] Training: 7%|▋ | 5074/70000 [1:46:56<22:34:07, 1.25s/step] Training: 7%|▋ | 5075/70000 [1:46:58<23:12:12, 1.29s/step] Training: 7%|▋ | 5076/70000 [1:46:59<22:46:35, 1.26s/step] Training: 7%|▋ | 5077/70000 [1:47:00<23:03:42, 1.28s/step] Training: 7%|▋ | 5078/70000 [1:47:02<23:28:35, 1.30s/step] Training: 7%|▋ | 5079/70000 [1:47:03<22:47:53, 1.26s/step] Training: 7%|▋ | 5080/70000 [1:47:04<22:35:56, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57318 Training: 7%|▋ | 5081/70000 [1:47:05<22:16:19, 1.24s/step] Training: 7%|▋ | 5082/70000 [1:47:06<22:08:17, 1.23s/step] Training: 7%|▋ | 5083/70000 [1:47:08<22:15:48, 1.23s/step] Training: 7%|▋ | 5084/70000 [1:47:09<22:17:28, 1.24s/step] Training: 7%|▋ | 5085/70000 [1:47:10<22:05:35, 1.23s/step] Training: 7%|▋ | 5086/70000 [1:47:11<22:49:26, 1.27s/step] Training: 7%|▋ | 5087/70000 [1:47:13<22:23:43, 1.24s/step] Training: 7%|▋ | 5088/70000 [1:47:14<22:10:26, 1.23s/step] Training: 7%|▋ | 5089/70000 [1:47:15<21:58:18, 1.22s/step] Training: 7%|▋ | 5090/70000 [1:47:16<22:32:15, 1.25s/step] Training: 7%|▋ | 5091/70000 [1:47:18<22:58:59, 1.27s/step] Training: 7%|▋ | 5092/70000 [1:47:19<22:32:00, 1.25s/step] Training: 7%|▋ | 5093/70000 [1:47:20<23:36:46, 1.31s/step] Training: 7%|▋ | 5094/70000 [1:47:22<23:43:12, 1.32s/step] Training: 7%|▋ | 5095/70000 [1:47:23<23:02:27, 1.28s/step] Training: 7%|▋ | 5096/70000 [1:47:24<23:15:38, 1.29s/step] Training: 7%|▋ | 5097/70000 [1:47:25<22:45:37, 1.26s/step] Training: 7%|▋ | 5098/70000 [1:47:27<23:16:15, 1.29s/step] Training: 7%|▋ | 5099/70000 [1:47:28<23:28:47, 1.30s/step] Training: 7%|▋ | 5100/70000 [1:47:29<23:38:43, 1.31s/step]INFO 2026-03-12 21:57:21 ot_train.py:435 step:5K smpl:326K ep:1K epch:4.32 loss:0.224 grdn:15.541 lr:2.5e-05 updt_s:1.252 data_s:0.019 Training: 7%|▋ | 5101/70000 [1:47:31<23:42:02, 1.31s/step] Training: 7%|▋ | 5102/70000 [1:47:32<23:56:46, 1.33s/step] Training: 7%|▋ | 5103/70000 [1:47:33<23:08:05, 1.28s/step] Training: 7%|▋ | 5104/70000 [1:47:35<23:21:55, 1.30s/step] Training: 7%|▋ | 5105/70000 [1:47:36<22:47:45, 1.26s/step] Training: 7%|▋ | 5106/70000 [1:47:37<22:37:53, 1.26s/step] Training: 7%|▋ | 5107/70000 [1:47:38<23:19:48, 1.29s/step] Training: 7%|▋ | 5108/70000 [1:47:40<22:50:59, 1.27s/step] Training: 7%|▋ | 5109/70000 [1:47:41<22:36:08, 1.25s/step] Training: 7%|▋ | 5110/70000 [1:47:42<23:10:30, 1.29s/step] Training: 7%|▋ | 5111/70000 [1:47:43<22:34:51, 1.25s/step] Training: 7%|▋ | 5112/70000 [1:47:45<22:28:11, 1.25s/step] Training: 7%|▋ | 5113/70000 [1:47:46<22:08:50, 1.23s/step] Training: 7%|▋ | 5114/70000 [1:47:47<22:02:11, 1.22s/step] Training: 7%|▋ | 5115/70000 [1:47:48<22:12:13, 1.23s/step] Training: 7%|▋ | 5116/70000 [1:47:49<22:11:00, 1.23s/step] Training: 7%|▋ | 5117/70000 [1:47:51<22:00:15, 1.22s/step] Training: 7%|▋ | 5118/70000 [1:47:52<22:42:16, 1.26s/step] Training: 7%|▋ | 5119/70000 [1:47:53<22:17:39, 1.24s/step] Training: 7%|▋ | 5120/70000 [1:47:54<22:06:08, 1.23s/step] Training: 7%|▋ | 5121/70000 [1:47:56<21:54:26, 1.22s/step] Training: 7%|▋ | 5122/70000 [1:47:57<22:32:11, 1.25s/step] Training: 7%|▋ | 5123/70000 [1:47:58<22:15:58, 1.24s/step] Training: 7%|▋ | 5124/70000 [1:47:59<22:46:57, 1.26s/step] Training: 7%|▋ | 5125/70000 [1:48:01<23:26:44, 1.30s/step] Training: 7%|▋ | 5126/70000 [1:48:02<23:33:04, 1.31s/step] Training: 7%|▋ | 5127/70000 [1:48:03<22:55:12, 1.27s/step] Training: 7%|▋ | 5128/70000 [1:48:05<23:12:10, 1.29s/step] Training: 7%|▋ | 5129/70000 [1:48:06<22:41:25, 1.26s/step] Training: 7%|▋ | 5130/70000 [1:48:07<23:05:14, 1.28s/step] Training: 7%|▋ | 5131/70000 [1:48:08<22:35:42, 1.25s/step] Training: 7%|▋ | 5132/70000 [1:48:10<23:32:49, 1.31s/step] Training: 7%|▋ | 5133/70000 [1:48:11<23:37:25, 1.31s/step] Training: 7%|▋ | 5134/70000 [1:48:12<23:51:09, 1.32s/step] Training: 7%|▋ | 5135/70000 [1:48:14<23:03:27, 1.28s/step] Training: 7%|▋ | 5136/70000 [1:48:15<23:20:55, 1.30s/step] Training: 7%|▋ | 5137/70000 [1:48:16<22:45:38, 1.26s/step] Training: 7%|▋ | 5138/70000 [1:48:17<22:40:22, 1.26s/step] Training: 7%|▋ | 5139/70000 [1:48:19<22:18:34, 1.24s/step] Training: 7%|▋ | 5140/70000 [1:48:20<23:22:37, 1.30s/step] Training: 7%|▋ | 5141/70000 [1:48:21<23:02:57, 1.28s/step] Training: 7%|▋ | 5142/70000 [1:48:23<23:27:40, 1.30s/step] Training: 7%|▋ | 5143/70000 [1:48:24<22:48:10, 1.27s/step] Training: 7%|▋ | 5144/70000 [1:48:25<22:36:01, 1.25s/step] Training: 7%|▋ | 5145/70000 [1:48:26<22:12:42, 1.23s/step] Training: 7%|▋ | 5146/70000 [1:48:27<22:09:23, 1.23s/step] Training: 7%|▋ | 5147/70000 [1:48:29<21:55:38, 1.22s/step] Training: 7%|▋ | 5148/70000 [1:48:30<22:04:34, 1.23s/step] Training: 7%|▋ | 5149/70000 [1:48:31<21:59:17, 1.22s/step] Training: 7%|▋ | 5150/70000 [1:48:32<22:42:07, 1.26s/step] Training: 7%|▋ | 5151/70000 [1:48:34<22:15:59, 1.24s/step] Training: 7%|▋ | 5152/70000 [1:48:35<22:05:00, 1.23s/step] Training: 7%|▋ | 5153/70000 [1:48:36<21:53:26, 1.22s/step] Training: 7%|▋ | 5154/70000 [1:48:37<21:44:33, 1.21s/step] Training: 7%|▋ | 5155/70000 [1:48:38<22:21:13, 1.24s/step] Training: 7%|▋ | 5156/70000 [1:48:40<22:52:45, 1.27s/step] Training: 7%|▋ | 5157/70000 [1:48:41<23:13:54, 1.29s/step] Training: 7%|▋ | 5158/70000 [1:48:42<23:28:12, 1.30s/step] Training: 7%|▋ | 5159/70000 [1:48:44<22:51:17, 1.27s/step] Training: 7%|▋ | 5160/70000 [1:48:45<23:07:56, 1.28s/step] Training: 7%|▋ | 5161/70000 [1:48:46<22:38:01, 1.26s/step] Training: 7%|▋ | 5162/70000 [1:48:47<22:14:11, 1.23s/step] Training: 7%|▋ | 5163/70000 [1:48:49<22:14:59, 1.24s/step] Training: 7%|▋ | 5164/70000 [1:48:50<22:57:02, 1.27s/step] Training: 7%|▋ | 5165/70000 [1:48:51<23:13:52, 1.29s/step] Training: 7%|▋ | 5166/70000 [1:48:53<23:33:24, 1.31s/step] Training: 7%|▋ | 5167/70000 [1:48:54<22:54:05, 1.27s/step] Training: 7%|▋ | 5168/70000 [1:48:55<23:17:55, 1.29s/step] Training: 7%|▋ | 5169/70000 [1:48:56<22:45:03, 1.26s/step] Training: 7%|▋ | 5170/70000 [1:48:58<22:20:13, 1.24s/step] Training: 7%|▋ | 5171/70000 [1:48:59<22:10:00, 1.23s/step] Training: 7%|▋ | 5172/70000 [1:49:00<22:43:26, 1.26s/step] Training: 7%|▋ | 5173/70000 [1:49:01<22:29:59, 1.25s/step] Training: 7%|▋ | 5174/70000 [1:49:03<23:01:49, 1.28s/step] Training: 7%|▋ | 5175/70000 [1:49:04<22:28:22, 1.25s/step] Training: 7%|▋ | 5176/70000 [1:49:05<22:23:29, 1.24s/step] Training: 7%|▋ | 5177/70000 [1:49:06<22:04:21, 1.23s/step] Training: 7%|▋ | 5178/70000 [1:49:07<21:52:15, 1.21s/step] Training: 7%|▋ | 5179/70000 [1:49:09<22:29:35, 1.25s/step] Training: 7%|▋ | 5180/70000 [1:49:10<22:21:36, 1.24s/step] Training: 7%|▋ | 5181/70000 [1:49:11<22:48:45, 1.27s/step] Training: 7%|▋ | 5182/70000 [1:49:13<23:17:38, 1.29s/step] Training: 7%|▋ | 5183/70000 [1:49:14<22:40:18, 1.26s/step] Training: 7%|▋ | 5184/70000 [1:49:15<22:23:36, 1.24s/step] Training: 7%|▋ | 5185/70000 [1:49:16<22:06:02, 1.23s/step] Training: 7%|▋ | 5186/70000 [1:49:17<21:52:17, 1.21s/step] Training: 7%|▋ | 5187/70000 [1:49:19<22:28:50, 1.25s/step] Training: 7%|▋ | 5188/70000 [1:49:20<22:52:35, 1.27s/step] Training: 7%|▋ | 5189/70000 [1:49:22<23:41:39, 1.32s/step] Training: 7%|▋ | 5190/70000 [1:49:23<23:44:59, 1.32s/step] Training: 7%|▋ | 5191/70000 [1:49:24<23:02:08, 1.28s/step] Training: 7%|▋ | 5192/70000 [1:49:25<23:18:39, 1.29s/step] Training: 7%|▋ | 5193/70000 [1:49:27<22:44:27, 1.26s/step] Training: 7%|▋ | 5194/70000 [1:49:28<22:20:45, 1.24s/step] Training: 7%|▋ | 5195/70000 [1:49:29<22:47:26, 1.27s/step] Training: 7%|▋ | 5196/70000 [1:49:30<23:07:18, 1.28s/step] Training: 7%|▋ | 5197/70000 [1:49:32<23:44:26, 1.32s/step] Training: 7%|▋ | 5198/70000 [1:49:33<23:08:15, 1.29s/step] Training: 7%|▋ | 5199/70000 [1:49:34<23:26:01, 1.30s/step] Training: 7%|▋ | 5200/70000 [1:49:36<23:33:13, 1.31s/step]INFO 2026-03-12 21:59:28 ot_train.py:435 step:5K smpl:333K ep:1K epch:4.41 loss:0.238 grdn:15.963 lr:2.5e-05 updt_s:1.242 data_s:0.019 Training: 7%|▋ | 5201/70000 [1:49:37<22:54:04, 1.27s/step] Training: 7%|▋ | 5202/70000 [1:49:38<22:26:32, 1.25s/step] Training: 7%|▋ | 5203/70000 [1:49:39<22:18:00, 1.24s/step] Training: 7%|▋ | 5204/70000 [1:49:41<22:53:56, 1.27s/step] Training: 7%|▋ | 5205/70000 [1:49:42<22:44:50, 1.26s/step] Training: 7%|▋ | 5206/70000 [1:49:43<23:08:35, 1.29s/step] Training: 7%|▋ | 5207/70000 [1:49:44<23:08:36, 1.29s/step] Training: 7%|▋ | 5208/70000 [1:49:46<22:47:25, 1.27s/step] Training: 7%|▋ | 5209/70000 [1:49:47<22:21:52, 1.24s/step] Training: 7%|▋ | 5210/70000 [1:49:48<22:06:20, 1.23s/step] Training: 7%|▋ | 5211/70000 [1:49:49<22:40:31, 1.26s/step] Training: 7%|▋ | 5212/70000 [1:49:51<22:27:53, 1.25s/step] Training: 7%|▋ | 5213/70000 [1:49:52<22:53:45, 1.27s/step] Training: 7%|▋ | 5214/70000 [1:49:53<23:12:06, 1.29s/step] Training: 7%|▋ | 5215/70000 [1:49:55<22:51:06, 1.27s/step] Training: 7%|▋ | 5216/70000 [1:49:56<22:31:14, 1.25s/step] Training: 7%|▋ | 5217/70000 [1:49:57<22:12:20, 1.23s/step] Training: 7%|▋ | 5218/70000 [1:49:58<21:59:39, 1.22s/step] Training: 7%|▋ | 5219/70000 [1:49:59<21:48:49, 1.21s/step] Training: 7%|▋ | 5220/70000 [1:50:01<23:02:50, 1.28s/step] Training: 7%|▋ | 5221/70000 [1:50:02<23:55:11, 1.33s/step] Training: 7%|▋ | 5222/70000 [1:50:04<23:53:04, 1.33s/step] Training: 7%|▋ | 5223/70000 [1:50:05<24:02:29, 1.34s/step] Training: 7%|▋ | 5224/70000 [1:50:06<23:57:22, 1.33s/step] Training: 7%|▋ | 5225/70000 [1:50:07<23:11:23, 1.29s/step] Training: 7%|▋ | 5226/70000 [1:50:09<22:38:27, 1.26s/step] Training: 7%|▋ | 5227/70000 [1:50:10<22:16:34, 1.24s/step] Training: 7%|▋ | 5228/70000 [1:50:11<23:16:58, 1.29s/step] Training: 7%|▋ | 5229/70000 [1:50:13<24:11:51, 1.34s/step] Training: 7%|▋ | 5230/70000 [1:50:14<23:27:11, 1.30s/step] Training: 7%|▋ | 5231/70000 [1:50:15<23:45:03, 1.32s/step] Training: 7%|▋ | 5232/70000 [1:50:17<23:46:22, 1.32s/step] Training: 7%|▋ | 5233/70000 [1:50:18<23:05:09, 1.28s/step] Training: 7%|▋ | 5234/70000 [1:50:19<22:34:03, 1.25s/step] Training: 7%|▋ | 5235/70000 [1:50:20<22:12:24, 1.23s/step] Training: 7%|▋ | 5236/70000 [1:50:21<22:41:41, 1.26s/step] Training: 7%|▋ | 5237/70000 [1:50:23<22:51:43, 1.27s/step] Training: 7%|▋ | 5238/70000 [1:50:24<23:08:56, 1.29s/step] Training: 7%|▋ | 5239/70000 [1:50:25<22:59:56, 1.28s/step] Training: 7%|▋ | 5240/70000 [1:50:27<22:37:50, 1.26s/step] Training: 7%|▋ | 5241/70000 [1:50:28<22:15:25, 1.24s/step] Training: 7%|▋ | 5242/70000 [1:50:29<22:00:13, 1.22s/step] Training: 7%|▋ | 5243/70000 [1:50:30<21:49:18, 1.21s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=33379 Training: 7%|▋ | 5244/70000 [1:50:31<21:56:57, 1.22s/step] Training: 7%|▋ | 5245/70000 [1:50:33<22:34:09, 1.25s/step] Training: 7%|▋ | 5246/70000 [1:50:34<22:57:53, 1.28s/step] Training: 7%|▋ | 5247/70000 [1:50:35<22:31:58, 1.25s/step] Training: 7%|▋ | 5248/70000 [1:50:37<23:02:22, 1.28s/step] Training: 7%|▋ | 5249/70000 [1:50:38<22:29:54, 1.25s/step] Training: 8%|▊ | 5250/70000 [1:50:39<22:10:30, 1.23s/step] Training: 8%|▊ | 5251/70000 [1:50:40<21:56:28, 1.22s/step] Training: 8%|▊ | 5252/70000 [1:50:41<22:34:02, 1.25s/step] Training: 8%|▊ | 5253/70000 [1:50:43<22:57:06, 1.28s/step] Training: 8%|▊ | 5254/70000 [1:50:44<23:15:45, 1.29s/step] Training: 8%|▊ | 5255/70000 [1:50:45<22:41:52, 1.26s/step] Training: 8%|▊ | 5256/70000 [1:50:47<22:41:15, 1.26s/step] Training: 8%|▊ | 5257/70000 [1:50:48<23:06:20, 1.28s/step] Training: 8%|▊ | 5258/70000 [1:50:49<22:36:19, 1.26s/step] Training: 8%|▊ | 5259/70000 [1:50:50<22:13:45, 1.24s/step] Training: 8%|▊ | 5260/70000 [1:50:52<22:42:43, 1.26s/step] Training: 8%|▊ | 5261/70000 [1:50:53<23:18:07, 1.30s/step] Training: 8%|▊ | 5262/70000 [1:50:54<22:48:54, 1.27s/step] Training: 8%|▊ | 5263/70000 [1:50:55<22:22:41, 1.24s/step] Training: 8%|▊ | 5264/70000 [1:50:57<22:50:34, 1.27s/step] Training: 8%|▊ | 5265/70000 [1:50:58<22:24:52, 1.25s/step] Training: 8%|▊ | 5266/70000 [1:50:59<22:06:28, 1.23s/step] Training: 8%|▊ | 5267/70000 [1:51:00<21:54:00, 1.22s/step] Training: 8%|▊ | 5268/70000 [1:51:02<22:29:44, 1.25s/step] Training: 8%|▊ | 5269/70000 [1:51:03<22:29:37, 1.25s/step] Training: 8%|▊ | 5270/70000 [1:51:04<22:57:12, 1.28s/step] Training: 8%|▊ | 5271/70000 [1:51:05<22:28:52, 1.25s/step] Training: 8%|▊ | 5272/70000 [1:51:07<23:12:26, 1.29s/step] Training: 8%|▊ | 5273/70000 [1:51:08<22:35:40, 1.26s/step] Training: 8%|▊ | 5274/70000 [1:51:09<22:13:17, 1.24s/step] Training: 8%|▊ | 5275/70000 [1:51:10<21:57:45, 1.22s/step] Training: 8%|▊ | 5276/70000 [1:51:12<21:57:34, 1.22s/step] Training: 8%|▊ | 5277/70000 [1:51:13<22:31:26, 1.25s/step] Training: 8%|▊ | 5278/70000 [1:51:14<22:57:12, 1.28s/step] Training: 8%|▊ | 5279/70000 [1:51:15<22:27:43, 1.25s/step] Training: 8%|▊ | 5280/70000 [1:51:17<23:02:10, 1.28s/step] Training: 8%|▊ | 5281/70000 [1:51:18<22:28:15, 1.25s/step] Training: 8%|▊ | 5282/70000 [1:51:19<22:07:49, 1.23s/step] Training: 8%|▊ | 5283/70000 [1:51:20<21:53:05, 1.22s/step] Training: 8%|▊ | 5284/70000 [1:51:22<22:28:50, 1.25s/step] Training: 8%|▊ | 5285/70000 [1:51:23<22:53:51, 1.27s/step] Training: 8%|▊ | 5286/70000 [1:51:24<23:49:04, 1.32s/step] Training: 8%|▊ | 5287/70000 [1:51:26<23:04:34, 1.28s/step] Training: 8%|▊ | 5288/70000 [1:51:27<23:31:29, 1.31s/step] Training: 8%|▊ | 5289/70000 [1:51:28<23:33:04, 1.31s/step] Training: 8%|▊ | 5290/70000 [1:51:29<22:53:35, 1.27s/step] Training: 8%|▊ | 5291/70000 [1:51:31<22:27:19, 1.25s/step] Training: 8%|▊ | 5292/70000 [1:51:32<22:52:05, 1.27s/step] Training: 8%|▊ | 5293/70000 [1:51:33<23:25:08, 1.30s/step] Training: 8%|▊ | 5294/70000 [1:51:35<23:12:56, 1.29s/step] Training: 8%|▊ | 5295/70000 [1:51:36<22:40:22, 1.26s/step] Training: 8%|▊ | 5296/70000 [1:51:37<22:29:49, 1.25s/step] Training: 8%|▊ | 5297/70000 [1:51:38<22:54:50, 1.27s/step] Training: 8%|▊ | 5298/70000 [1:51:40<22:26:48, 1.25s/step] Training: 8%|▊ | 5299/70000 [1:51:41<22:07:41, 1.23s/step] Training: 8%|▊ | 5300/70000 [1:51:42<22:37:35, 1.26s/step]INFO 2026-03-12 22:01:34 ot_train.py:435 step:5K smpl:339K ep:1K epch:4.49 loss:0.230 grdn:15.809 lr:2.5e-05 updt_s:1.242 data_s:0.019 Training: 8%|▊ | 5301/70000 [1:51:43<22:21:41, 1.24s/step] Training: 8%|▊ | 5302/70000 [1:51:45<22:46:34, 1.27s/step] Training: 8%|▊ | 5303/70000 [1:51:46<22:23:09, 1.25s/step] Training: 8%|▊ | 5304/70000 [1:51:47<22:56:01, 1.28s/step] Training: 8%|▊ | 5305/70000 [1:51:48<22:57:08, 1.28s/step] Training: 8%|▊ | 5306/70000 [1:51:50<22:26:59, 1.25s/step] Training: 8%|▊ | 5307/70000 [1:51:51<22:10:10, 1.23s/step] Training: 8%|▊ | 5308/70000 [1:51:52<22:02:25, 1.23s/step] Training: 8%|▊ | 5309/70000 [1:51:53<22:36:17, 1.26s/step] Training: 8%|▊ | 5310/70000 [1:51:55<22:59:53, 1.28s/step] Training: 8%|▊ | 5311/70000 [1:51:56<22:30:59, 1.25s/step] Training: 8%|▊ | 5312/70000 [1:51:57<23:02:42, 1.28s/step] Training: 8%|▊ | 5313/70000 [1:51:58<22:29:56, 1.25s/step] Training: 8%|▊ | 5314/70000 [1:52:00<22:10:03, 1.23s/step] Training: 8%|▊ | 5315/70000 [1:52:01<21:55:26, 1.22s/step] Training: 8%|▊ | 5316/70000 [1:52:02<22:30:33, 1.25s/step] Training: 8%|▊ | 5317/70000 [1:52:03<22:58:04, 1.28s/step] Training: 8%|▊ | 5318/70000 [1:52:05<23:15:10, 1.29s/step] Training: 8%|▊ | 5319/70000 [1:52:06<22:42:24, 1.26s/step] Training: 8%|▊ | 5320/70000 [1:52:07<23:11:10, 1.29s/step] Training: 8%|▊ | 5321/70000 [1:52:08<22:35:37, 1.26s/step] Training: 8%|▊ | 5322/70000 [1:52:10<22:11:56, 1.24s/step] Training: 8%|▊ | 5323/70000 [1:52:11<21:57:08, 1.22s/step] Training: 8%|▊ | 5324/70000 [1:52:12<22:30:06, 1.25s/step] Training: 8%|▊ | 5325/70000 [1:52:14<23:05:50, 1.29s/step] Training: 8%|▊ | 5326/70000 [1:52:15<23:19:53, 1.30s/step] Training: 8%|▊ | 5327/70000 [1:52:16<22:44:41, 1.27s/step] Training: 8%|▊ | 5328/70000 [1:52:17<22:36:18, 1.26s/step] Training: 8%|▊ | 5329/70000 [1:52:18<22:22:38, 1.25s/step] Training: 8%|▊ | 5330/70000 [1:52:20<22:02:41, 1.23s/step] Training: 8%|▊ | 5331/70000 [1:52:21<21:49:51, 1.22s/step] Training: 8%|▊ | 5332/70000 [1:52:22<21:40:31, 1.21s/step] Training: 8%|▊ | 5333/70000 [1:52:23<22:18:04, 1.24s/step] Training: 8%|▊ | 5334/70000 [1:52:25<22:44:38, 1.27s/step] Training: 8%|▊ | 5335/70000 [1:52:26<22:19:01, 1.24s/step] Training: 8%|▊ | 5336/70000 [1:52:27<22:55:40, 1.28s/step] Training: 8%|▊ | 5337/70000 [1:52:28<22:28:31, 1.25s/step] Training: 8%|▊ | 5338/70000 [1:52:30<22:08:30, 1.23s/step] Training: 8%|▊ | 5339/70000 [1:52:31<21:53:35, 1.22s/step] Training: 8%|▊ | 5340/70000 [1:52:32<21:53:30, 1.22s/step] Training: 8%|▊ | 5341/70000 [1:52:33<23:06:48, 1.29s/step] Training: 8%|▊ | 5342/70000 [1:52:35<23:20:56, 1.30s/step] Training: 8%|▊ | 5343/70000 [1:52:36<22:44:15, 1.27s/step] Training: 8%|▊ | 5344/70000 [1:52:37<22:18:12, 1.24s/step] Training: 8%|▊ | 5345/70000 [1:52:39<23:29:10, 1.31s/step] Training: 8%|▊ | 5346/70000 [1:52:40<22:50:22, 1.27s/step] Training: 8%|▊ | 5347/70000 [1:52:41<22:23:02, 1.25s/step] Training: 8%|▊ | 5348/70000 [1:52:42<22:54:41, 1.28s/step] Training: 8%|▊ | 5349/70000 [1:52:44<23:13:25, 1.29s/step] Training: 8%|▊ | 5350/70000 [1:52:45<23:27:50, 1.31s/step] Training: 8%|▊ | 5351/70000 [1:52:46<22:49:29, 1.27s/step] Training: 8%|▊ | 5352/70000 [1:52:47<22:21:44, 1.25s/step] Training: 8%|▊ | 5353/70000 [1:52:49<23:29:00, 1.31s/step] Training: 8%|▊ | 5354/70000 [1:52:50<22:51:09, 1.27s/step] Training: 8%|▊ | 5355/70000 [1:52:51<22:23:17, 1.25s/step] Training: 8%|▊ | 5356/70000 [1:52:53<22:55:10, 1.28s/step] Training: 8%|▊ | 5357/70000 [1:52:54<23:26:29, 1.31s/step] Training: 8%|▊ | 5358/70000 [1:52:55<23:00:39, 1.28s/step] Training: 8%|▊ | 5359/70000 [1:52:56<22:32:23, 1.26s/step] Training: 8%|▊ | 5360/70000 [1:52:58<22:10:31, 1.24s/step] Training: 8%|▊ | 5361/70000 [1:52:59<22:05:33, 1.23s/step] Training: 8%|▊ | 5362/70000 [1:53:00<21:51:34, 1.22s/step] Training: 8%|▊ | 5363/70000 [1:53:01<21:43:05, 1.21s/step] Training: 8%|▊ | 5364/70000 [1:53:03<22:39:33, 1.26s/step] Training: 8%|▊ | 5365/70000 [1:53:04<22:23:24, 1.25s/step] Training: 8%|▊ | 5366/70000 [1:53:05<22:51:48, 1.27s/step] Training: 8%|▊ | 5367/70000 [1:53:06<22:24:29, 1.25s/step] Training: 8%|▊ | 5368/70000 [1:53:07<22:06:52, 1.23s/step] Training: 8%|▊ | 5369/70000 [1:53:09<22:08:12, 1.23s/step] Training: 8%|▊ | 5370/70000 [1:53:10<21:55:21, 1.22s/step] Training: 8%|▊ | 5371/70000 [1:53:11<21:44:33, 1.21s/step] Training: 8%|▊ | 5372/70000 [1:53:12<22:02:42, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57318 Training: 8%|▊ | 5373/70000 [1:53:14<22:35:12, 1.26s/step] Training: 8%|▊ | 5374/70000 [1:53:15<23:00:02, 1.28s/step] Training: 8%|▊ | 5375/70000 [1:53:16<22:30:07, 1.25s/step] Training: 8%|▊ | 5376/70000 [1:53:17<22:08:57, 1.23s/step] Training: 8%|▊ | 5377/70000 [1:53:19<22:41:01, 1.26s/step] Training: 8%|▊ | 5378/70000 [1:53:20<22:17:25, 1.24s/step] Training: 8%|▊ | 5379/70000 [1:53:21<22:00:32, 1.23s/step] Training: 8%|▊ | 5380/70000 [1:53:22<22:37:58, 1.26s/step] Training: 8%|▊ | 5381/70000 [1:53:24<23:01:15, 1.28s/step] Training: 8%|▊ | 5382/70000 [1:53:25<23:21:59, 1.30s/step] Training: 8%|▊ | 5383/70000 [1:53:26<22:45:57, 1.27s/step] Training: 8%|▊ | 5384/70000 [1:53:28<22:20:30, 1.24s/step] Training: 8%|▊ | 5385/70000 [1:53:29<22:46:28, 1.27s/step] Training: 8%|▊ | 5386/70000 [1:53:30<23:12:41, 1.29s/step] Training: 8%|▊ | 5387/70000 [1:53:31<22:36:17, 1.26s/step] Training: 8%|▊ | 5388/70000 [1:53:33<23:01:03, 1.28s/step] Training: 8%|▊ | 5389/70000 [1:53:34<23:23:58, 1.30s/step] Training: 8%|▊ | 5390/70000 [1:53:35<22:53:40, 1.28s/step] Training: 8%|▊ | 5391/70000 [1:53:36<22:25:42, 1.25s/step] Training: 8%|▊ | 5392/70000 [1:53:38<22:08:06, 1.23s/step] Training: 8%|▊ | 5393/70000 [1:53:39<22:08:45, 1.23s/step] Training: 8%|▊ | 5394/70000 [1:53:40<22:55:28, 1.28s/step] Training: 8%|▊ | 5395/70000 [1:53:41<22:23:35, 1.25s/step] Training: 8%|▊ | 5396/70000 [1:53:43<23:00:52, 1.28s/step] Training: 8%|▊ | 5397/70000 [1:53:44<22:38:59, 1.26s/step] Training: 8%|▊ | 5398/70000 [1:53:45<23:04:59, 1.29s/step] Training: 8%|▊ | 5399/70000 [1:53:47<22:33:53, 1.26s/step] Training: 8%|▊ | 5400/70000 [1:53:48<22:13:32, 1.24s/step]INFO 2026-03-12 22:03:40 ot_train.py:435 step:5K smpl:346K ep:1K epch:4.58 loss:0.249 grdn:16.083 lr:2.5e-05 updt_s:1.236 data_s:0.019 Training: 8%|▊ | 5401/70000 [1:53:49<22:04:03, 1.23s/step] Training: 8%|▊ | 5402/70000 [1:53:50<22:10:21, 1.24s/step] Training: 8%|▊ | 5403/70000 [1:53:51<21:52:20, 1.22s/step] Training: 8%|▊ | 5404/70000 [1:53:53<22:05:11, 1.23s/step] Training: 8%|▊ | 5405/70000 [1:53:54<22:38:28, 1.26s/step] Training: 8%|▊ | 5406/70000 [1:53:55<23:02:06, 1.28s/step] Training: 8%|▊ | 5407/70000 [1:53:57<23:12:47, 1.29s/step] Training: 8%|▊ | 5408/70000 [1:53:58<22:39:00, 1.26s/step] Training: 8%|▊ | 5409/70000 [1:53:59<23:02:11, 1.28s/step] Training: 8%|▊ | 5410/70000 [1:54:01<23:28:57, 1.31s/step] Training: 8%|▊ | 5411/70000 [1:54:02<22:46:45, 1.27s/step] Training: 8%|▊ | 5412/70000 [1:54:03<23:06:36, 1.29s/step] Training: 8%|▊ | 5413/70000 [1:54:04<23:21:19, 1.30s/step] Training: 8%|▊ | 5414/70000 [1:54:06<22:57:05, 1.28s/step] Training: 8%|▊ | 5415/70000 [1:54:07<24:05:53, 1.34s/step] Training: 8%|▊ | 5416/70000 [1:54:08<23:18:11, 1.30s/step] Training: 8%|▊ | 5417/70000 [1:54:10<23:27:29, 1.31s/step] Training: 8%|▊ | 5418/70000 [1:54:11<23:41:35, 1.32s/step] Training: 8%|▊ | 5419/70000 [1:54:12<22:54:59, 1.28s/step] Training: 8%|▊ | 5420/70000 [1:54:13<23:10:33, 1.29s/step] Training: 8%|▊ | 5421/70000 [1:54:15<23:35:38, 1.32s/step] Training: 8%|▊ | 5422/70000 [1:54:16<23:04:38, 1.29s/step] Training: 8%|▊ | 5423/70000 [1:54:17<22:33:33, 1.26s/step] Training: 8%|▊ | 5424/70000 [1:54:18<22:10:54, 1.24s/step] Training: 8%|▊ | 5425/70000 [1:54:20<22:09:31, 1.24s/step] Training: 8%|▊ | 5426/70000 [1:54:21<22:45:42, 1.27s/step] Training: 8%|▊ | 5427/70000 [1:54:22<22:16:47, 1.24s/step] Training: 8%|▊ | 5428/70000 [1:54:24<22:59:17, 1.28s/step] Training: 8%|▊ | 5429/70000 [1:54:25<22:36:49, 1.26s/step] Training: 8%|▊ | 5430/70000 [1:54:26<22:58:31, 1.28s/step] Training: 8%|▊ | 5431/70000 [1:54:27<22:36:49, 1.26s/step] Training: 8%|▊ | 5432/70000 [1:54:29<22:13:34, 1.24s/step] Training: 8%|▊ | 5433/70000 [1:54:30<22:09:34, 1.24s/step] Training: 8%|▊ | 5434/70000 [1:54:31<22:12:33, 1.24s/step] Training: 8%|▊ | 5435/70000 [1:54:32<21:55:36, 1.22s/step] Training: 8%|▊ | 5436/70000 [1:54:33<21:58:15, 1.23s/step] Training: 8%|▊ | 5437/70000 [1:54:35<22:34:43, 1.26s/step] Training: 8%|▊ | 5438/70000 [1:54:36<22:58:47, 1.28s/step] Training: 8%|▊ | 5439/70000 [1:54:37<22:40:23, 1.26s/step] Training: 8%|▊ | 5440/70000 [1:54:38<22:18:52, 1.24s/step] Training: 8%|▊ | 5441/70000 [1:54:40<22:48:09, 1.27s/step] Training: 8%|▊ | 5442/70000 [1:54:41<23:17:23, 1.30s/step] Training: 8%|▊ | 5443/70000 [1:54:42<22:41:11, 1.27s/step] Training: 8%|▊ | 5444/70000 [1:54:44<22:59:04, 1.28s/step] Training: 8%|▊ | 5445/70000 [1:54:45<23:14:01, 1.30s/step] Training: 8%|▊ | 5446/70000 [1:54:46<22:52:32, 1.28s/step] Training: 8%|▊ | 5447/70000 [1:54:47<22:27:45, 1.25s/step] Training: 8%|▊ | 5448/70000 [1:54:49<22:44:46, 1.27s/step] Training: 8%|▊ | 5449/70000 [1:54:50<22:19:17, 1.24s/step] Training: 8%|▊ | 5450/70000 [1:54:51<23:34:29, 1.31s/step] Training: 8%|▊ | 5451/70000 [1:54:53<22:54:32, 1.28s/step] Training: 8%|▊ | 5452/70000 [1:54:54<23:08:17, 1.29s/step] Training: 8%|▊ | 5453/70000 [1:54:55<23:31:14, 1.31s/step] Training: 8%|▊ | 5454/70000 [1:54:56<22:57:27, 1.28s/step] Training: 8%|▊ | 5455/70000 [1:54:58<22:29:51, 1.25s/step] Training: 8%|▊ | 5456/70000 [1:54:59<22:09:19, 1.24s/step] Training: 8%|▊ | 5457/70000 [1:55:00<21:54:55, 1.22s/step] Training: 8%|▊ | 5458/70000 [1:55:02<23:08:10, 1.29s/step] Training: 8%|▊ | 5459/70000 [1:55:03<22:36:55, 1.26s/step] Training: 8%|▊ | 5460/70000 [1:55:04<22:23:46, 1.25s/step] Training: 8%|▊ | 5461/70000 [1:55:05<22:44:03, 1.27s/step] Training: 8%|▊ | 5462/70000 [1:55:06<22:19:39, 1.25s/step] Training: 8%|▊ | 5463/70000 [1:55:08<22:47:37, 1.27s/step] Training: 8%|▊ | 5464/70000 [1:55:09<22:21:09, 1.25s/step] Training: 8%|▊ | 5465/70000 [1:55:10<22:03:18, 1.23s/step] Training: 8%|▊ | 5466/70000 [1:55:11<22:07:21, 1.23s/step] Training: 8%|▊ | 5467/70000 [1:55:13<21:50:50, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=54076 Training: 8%|▊ | 5468/70000 [1:55:14<21:46:48, 1.22s/step] Training: 8%|▊ | 5469/70000 [1:55:15<23:23:16, 1.30s/step] Training: 8%|▊ | 5470/70000 [1:55:17<22:48:21, 1.27s/step] Training: 8%|▊ | 5471/70000 [1:55:18<22:55:17, 1.28s/step] Training: 8%|▊ | 5472/70000 [1:55:19<22:28:32, 1.25s/step] Training: 8%|▊ | 5473/70000 [1:55:20<22:06:58, 1.23s/step] Training: 8%|▊ | 5474/70000 [1:55:22<22:49:05, 1.27s/step] Training: 8%|▊ | 5475/70000 [1:55:23<22:18:03, 1.24s/step] Training: 8%|▊ | 5476/70000 [1:55:24<22:44:01, 1.27s/step] Training: 8%|▊ | 5477/70000 [1:55:25<23:04:19, 1.29s/step] Training: 8%|▊ | 5478/70000 [1:55:27<22:33:01, 1.26s/step] Training: 8%|▊ | 5479/70000 [1:55:28<22:19:14, 1.25s/step] Training: 8%|▊ | 5480/70000 [1:55:29<22:32:58, 1.26s/step] Training: 8%|▊ | 5481/70000 [1:55:30<22:10:21, 1.24s/step] Training: 8%|▊ | 5482/70000 [1:55:32<22:58:13, 1.28s/step] Training: 8%|▊ | 5483/70000 [1:55:33<22:24:41, 1.25s/step] Training: 8%|▊ | 5484/70000 [1:55:34<22:48:31, 1.27s/step] Training: 8%|▊ | 5485/70000 [1:55:36<23:46:16, 1.33s/step] Training: 8%|▊ | 5486/70000 [1:55:37<23:03:23, 1.29s/step] Training: 8%|▊ | 5487/70000 [1:55:38<23:20:11, 1.30s/step] Training: 8%|▊ | 5488/70000 [1:55:39<22:45:02, 1.27s/step] Training: 8%|▊ | 5489/70000 [1:55:41<22:19:28, 1.25s/step] Training: 8%|▊ | 5490/70000 [1:55:42<22:58:16, 1.28s/step] Training: 8%|▊ | 5491/70000 [1:55:43<22:25:15, 1.25s/step] Training: 8%|▊ | 5492/70000 [1:55:44<22:18:55, 1.25s/step] Training: 8%|▊ | 5493/70000 [1:55:46<22:42:55, 1.27s/step] Training: 8%|▊ | 5494/70000 [1:55:47<22:22:19, 1.25s/step] Training: 8%|▊ | 5495/70000 [1:55:48<23:00:57, 1.28s/step] Training: 8%|▊ | 5496/70000 [1:55:49<22:29:38, 1.26s/step] Training: 8%|▊ | 5497/70000 [1:55:51<22:09:26, 1.24s/step] Training: 8%|▊ | 5498/70000 [1:55:52<22:40:34, 1.27s/step] Training: 8%|▊ | 5499/70000 [1:55:53<22:16:46, 1.24s/step] Training: 8%|▊ | 5500/70000 [1:55:54<22:07:43, 1.24s/step]INFO 2026-03-12 22:05:46 ot_train.py:435 step:6K smpl:352K ep:1K epch:4.66 loss:0.239 grdn:15.751 lr:2.5e-05 updt_s:1.245 data_s:0.018 Training: 8%|▊ | 5501/70000 [1:55:56<22:38:13, 1.26s/step] Training: 8%|▊ | 5502/70000 [1:55:57<22:16:24, 1.24s/step] Training: 8%|▊ | 5503/70000 [1:55:58<22:27:37, 1.25s/step] Training: 8%|▊ | 5504/70000 [1:55:59<22:08:28, 1.24s/step] Training: 8%|▊ | 5505/70000 [1:56:00<21:50:47, 1.22s/step] Training: 8%|▊ | 5506/70000 [1:56:02<22:39:48, 1.27s/step] Training: 8%|▊ | 5507/70000 [1:56:03<22:12:55, 1.24s/step] Training: 8%|▊ | 5508/70000 [1:56:04<22:38:56, 1.26s/step] Training: 8%|▊ | 5509/70000 [1:56:06<23:00:11, 1.28s/step] Training: 8%|▊ | 5510/70000 [1:56:07<22:30:09, 1.26s/step] Training: 8%|▊ | 5511/70000 [1:56:08<22:57:32, 1.28s/step] Training: 8%|▊ | 5512/70000 [1:56:09<22:27:04, 1.25s/step] Training: 8%|▊ | 5513/70000 [1:56:11<22:06:09, 1.23s/step] Training: 8%|▊ | 5514/70000 [1:56:12<23:00:00, 1.28s/step] Training: 8%|▊ | 5515/70000 [1:56:13<22:25:54, 1.25s/step] Training: 8%|▊ | 5516/70000 [1:56:15<22:53:25, 1.28s/step] Training: 8%|▊ | 5517/70000 [1:56:16<23:24:24, 1.31s/step] Training: 8%|▊ | 5518/70000 [1:56:17<22:45:59, 1.27s/step] Training: 8%|▊ | 5519/70000 [1:56:18<23:07:12, 1.29s/step] Training: 8%|▊ | 5520/70000 [1:56:20<22:33:35, 1.26s/step] Training: 8%|▊ | 5521/70000 [1:56:21<22:10:19, 1.24s/step] Training: 8%|▊ | 5522/70000 [1:56:22<22:21:44, 1.25s/step] Training: 8%|▊ | 5523/70000 [1:56:23<22:03:33, 1.23s/step] Training: 8%|▊ | 5524/70000 [1:56:24<22:02:18, 1.23s/step] Training: 8%|▊ | 5525/70000 [1:56:26<22:38:49, 1.26s/step] Training: 8%|▊ | 5526/70000 [1:56:27<22:15:27, 1.24s/step] Training: 8%|▊ | 5527/70000 [1:56:28<22:10:19, 1.24s/step] Training: 8%|▊ | 5528/70000 [1:56:30<22:37:16, 1.26s/step] Training: 8%|▊ | 5529/70000 [1:56:31<22:14:06, 1.24s/step] Training: 8%|▊ | 5530/70000 [1:56:32<22:42:59, 1.27s/step] Training: 8%|▊ | 5531/70000 [1:56:33<22:17:58, 1.25s/step] Training: 8%|▊ | 5532/70000 [1:56:35<22:10:58, 1.24s/step] Training: 8%|▊ | 5533/70000 [1:56:36<22:40:46, 1.27s/step] Training: 8%|▊ | 5534/70000 [1:56:37<22:17:10, 1.24s/step] Training: 8%|▊ | 5535/70000 [1:56:38<22:04:58, 1.23s/step] Training: 8%|▊ | 5536/70000 [1:56:40<22:26:54, 1.25s/step] Training: 8%|▊ | 5537/70000 [1:56:41<22:07:19, 1.24s/step] Training: 8%|▊ | 5538/70000 [1:56:42<22:46:43, 1.27s/step] Training: 8%|▊ | 5539/70000 [1:56:43<22:17:32, 1.24s/step] Training: 8%|▊ | 5540/70000 [1:56:44<22:00:37, 1.23s/step] Training: 8%|▊ | 5541/70000 [1:56:46<23:14:21, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=11676 Training: 8%|▊ | 5542/70000 [1:56:47<22:39:11, 1.27s/step] Training: 8%|▊ | 5543/70000 [1:56:48<22:57:35, 1.28s/step] Training: 8%|▊ | 5544/70000 [1:56:50<22:27:38, 1.25s/step] Training: 8%|▊ | 5545/70000 [1:56:51<22:06:26, 1.23s/step] Training: 8%|▊ | 5546/70000 [1:56:52<23:00:18, 1.28s/step] Training: 8%|▊ | 5547/70000 [1:56:53<22:27:25, 1.25s/step] Training: 8%|▊ | 5548/70000 [1:56:55<22:08:04, 1.24s/step] Training: 8%|▊ | 5549/70000 [1:56:56<22:46:58, 1.27s/step] Training: 8%|▊ | 5550/70000 [1:56:57<23:11:02, 1.29s/step] Training: 8%|▊ | 5551/70000 [1:56:59<23:23:43, 1.31s/step] Training: 8%|▊ | 5552/70000 [1:57:00<23:25:16, 1.31s/step] Training: 8%|▊ | 5553/70000 [1:57:01<22:48:43, 1.27s/step] Training: 8%|▊ | 5554/70000 [1:57:02<23:18:16, 1.30s/step] Training: 8%|▊ | 5555/70000 [1:57:04<22:41:14, 1.27s/step] Training: 8%|▊ | 5556/70000 [1:57:05<22:30:15, 1.26s/step] Training: 8%|▊ | 5557/70000 [1:57:06<22:15:23, 1.24s/step] Training: 8%|▊ | 5558/70000 [1:57:07<22:41:21, 1.27s/step] Training: 8%|▊ | 5559/70000 [1:57:09<22:30:12, 1.26s/step] Training: 8%|▊ | 5560/70000 [1:57:10<22:54:09, 1.28s/step] Training: 8%|▊ | 5561/70000 [1:57:11<22:25:20, 1.25s/step] Training: 8%|▊ | 5562/70000 [1:57:13<22:48:52, 1.27s/step] Training: 8%|▊ | 5563/70000 [1:57:14<22:24:00, 1.25s/step] Training: 8%|▊ | 5564/70000 [1:57:15<22:10:41, 1.24s/step] Training: 8%|▊ | 5565/70000 [1:57:16<22:40:24, 1.27s/step] Training: 8%|▊ | 5566/70000 [1:57:17<22:15:24, 1.24s/step] Training: 8%|▊ | 5567/70000 [1:57:19<22:02:22, 1.23s/step] Training: 8%|▊ | 5568/70000 [1:57:20<21:54:41, 1.22s/step] Training: 8%|▊ | 5569/70000 [1:57:21<21:44:09, 1.21s/step] Training: 8%|▊ | 5570/70000 [1:57:22<22:29:09, 1.26s/step] Training: 8%|▊ | 5571/70000 [1:57:24<22:04:31, 1.23s/step] Training: 8%|▊ | 5572/70000 [1:57:25<22:38:52, 1.27s/step] Training: 8%|▊ | 5573/70000 [1:57:26<23:01:14, 1.29s/step] Training: 8%|▊ | 5574/70000 [1:57:27<22:34:41, 1.26s/step] Training: 8%|▊ | 5575/70000 [1:57:29<22:55:16, 1.28s/step] Training: 8%|▊ | 5576/70000 [1:57:30<23:10:41, 1.30s/step] Training: 8%|▊ | 5577/70000 [1:57:31<22:35:49, 1.26s/step] Training: 8%|▊ | 5578/70000 [1:57:33<23:16:17, 1.30s/step] Training: 8%|▊ | 5579/70000 [1:57:34<22:36:32, 1.26s/step] Training: 8%|▊ | 5580/70000 [1:57:35<22:59:14, 1.28s/step] Training: 8%|▊ | 5581/70000 [1:57:37<23:24:13, 1.31s/step] Training: 8%|▊ | 5582/70000 [1:57:38<23:00:06, 1.29s/step] Training: 8%|▊ | 5583/70000 [1:57:39<23:10:45, 1.30s/step] Training: 8%|▊ | 5584/70000 [1:57:40<23:20:58, 1.30s/step] Training: 8%|▊ | 5585/70000 [1:57:42<22:43:44, 1.27s/step] Training: 8%|▊ | 5586/70000 [1:57:43<23:09:55, 1.29s/step] Training: 8%|▊ | 5587/70000 [1:57:44<22:32:11, 1.26s/step] Training: 8%|▊ | 5588/70000 [1:57:45<22:23:51, 1.25s/step] Training: 8%|▊ | 5589/70000 [1:57:47<22:11:54, 1.24s/step] Training: 8%|▊ | 5590/70000 [1:57:48<21:55:25, 1.23s/step] Training: 8%|▊ | 5591/70000 [1:57:49<22:27:16, 1.26s/step] Training: 8%|▊ | 5592/70000 [1:57:50<22:07:43, 1.24s/step] Training: 8%|▊ | 5593/70000 [1:57:52<22:35:11, 1.26s/step] Training: 8%|▊ | 5594/70000 [1:57:53<22:55:21, 1.28s/step] Training: 8%|▊ | 5595/70000 [1:57:54<22:25:41, 1.25s/step] Training: 8%|▊ | 5596/70000 [1:57:55<22:14:28, 1.24s/step] Training: 8%|▊ | 5597/70000 [1:57:57<22:41:02, 1.27s/step] Training: 8%|▊ | 5598/70000 [1:57:58<23:36:27, 1.32s/step] Training: 8%|▊ | 5599/70000 [1:57:59<22:58:32, 1.28s/step] Training: 8%|▊ | 5600/70000 [1:58:01<22:27:48, 1.26s/step]INFO 2026-03-12 22:07:53 ot_train.py:435 step:6K smpl:358K ep:1K epch:4.75 loss:0.257 grdn:16.460 lr:2.5e-05 updt_s:1.242 data_s:0.019 Training: 8%|▊ | 5601/70000 [1:58:02<22:49:00, 1.28s/step] Training: 8%|▊ | 5602/70000 [1:58:03<23:13:55, 1.30s/step] Training: 8%|▊ | 5603/70000 [1:58:04<22:36:02, 1.26s/step] Training: 8%|▊ | 5604/70000 [1:58:06<22:55:39, 1.28s/step] Training: 8%|▊ | 5605/70000 [1:58:07<23:12:09, 1.30s/step] Training: 8%|▊ | 5606/70000 [1:58:08<23:14:34, 1.30s/step] Training: 8%|▊ | 5607/70000 [1:58:10<23:24:24, 1.31s/step] Training: 8%|▊ | 5608/70000 [1:58:11<23:32:33, 1.32s/step] Training: 8%|▊ | 5609/70000 [1:58:12<22:51:50, 1.28s/step] Training: 8%|▊ | 5610/70000 [1:58:14<23:32:07, 1.32s/step] Training: 8%|▊ | 5611/70000 [1:58:15<22:50:03, 1.28s/step] Training: 8%|▊ | 5612/70000 [1:58:16<23:07:50, 1.29s/step] Training: 8%|▊ | 5613/70000 [1:58:17<23:17:52, 1.30s/step] Training: 8%|▊ | 5614/70000 [1:58:19<22:54:44, 1.28s/step] Training: 8%|▊ | 5615/70000 [1:58:20<23:09:15, 1.29s/step] Training: 8%|▊ | 5616/70000 [1:58:21<23:16:46, 1.30s/step] Training: 8%|▊ | 5617/70000 [1:58:23<22:39:50, 1.27s/step] Training: 8%|▊ | 5618/70000 [1:58:24<23:03:34, 1.29s/step] Training: 8%|▊ | 5619/70000 [1:58:25<22:28:20, 1.26s/step] Training: 8%|▊ | 5620/70000 [1:58:26<22:17:35, 1.25s/step] Training: 8%|▊ | 5621/70000 [1:58:27<21:59:14, 1.23s/step] Training: 8%|▊ | 5622/70000 [1:58:29<23:06:31, 1.29s/step] Training: 8%|▊ | 5623/70000 [1:58:30<22:48:27, 1.28s/step] Training: 8%|▊ | 5624/70000 [1:58:31<22:32:44, 1.26s/step] Training: 8%|▊ | 5625/70000 [1:58:33<22:09:54, 1.24s/step] Training: 8%|▊ | 5626/70000 [1:58:34<22:37:49, 1.27s/step] Training: 8%|▊ | 5627/70000 [1:58:35<22:16:07, 1.25s/step] Training: 8%|▊ | 5628/70000 [1:58:36<22:05:19, 1.24s/step] Training: 8%|▊ | 5629/70000 [1:58:38<22:36:57, 1.26s/step] Training: 8%|▊ | 5630/70000 [1:58:39<23:09:30, 1.30s/step] Training: 8%|▊ | 5631/70000 [1:58:40<22:50:12, 1.28s/step] Training: 8%|▊ | 5632/70000 [1:58:41<22:24:56, 1.25s/step] Training: 8%|▊ | 5633/70000 [1:58:43<22:05:46, 1.24s/step] Training: 8%|▊ | 5634/70000 [1:58:44<22:43:02, 1.27s/step] Training: 8%|▊ | 5635/70000 [1:58:45<22:15:23, 1.24s/step] Training: 8%|▊ | 5636/70000 [1:58:46<22:41:53, 1.27s/step] Training: 8%|▊ | 5637/70000 [1:58:48<22:26:49, 1.26s/step] Training: 8%|▊ | 5638/70000 [1:58:49<22:56:25, 1.28s/step] Training: 8%|▊ | 5639/70000 [1:58:50<22:25:45, 1.25s/step] Training: 8%|▊ | 5640/70000 [1:58:52<23:24:51, 1.31s/step] Training: 8%|▊ | 5641/70000 [1:58:53<22:45:42, 1.27s/step] Training: 8%|▊ | 5642/70000 [1:58:54<23:24:51, 1.31s/step] Training: 8%|▊ | 5643/70000 [1:58:55<22:42:46, 1.27s/step] Training: 8%|▊ | 5644/70000 [1:58:57<23:01:23, 1.29s/step] Training: 8%|▊ | 5645/70000 [1:58:58<22:41:50, 1.27s/step] Training: 8%|▊ | 5646/70000 [1:58:59<22:29:00, 1.26s/step] Training: 8%|▊ | 5647/70000 [1:59:00<22:08:25, 1.24s/step] Training: 8%|▊ | 5648/70000 [1:59:02<22:36:56, 1.27s/step] Training: 8%|▊ | 5649/70000 [1:59:03<22:12:19, 1.24s/step] Training: 8%|▊ | 5650/70000 [1:59:04<22:53:18, 1.28s/step] Training: 8%|▊ | 5651/70000 [1:59:05<22:20:48, 1.25s/step] Training: 8%|▊ | 5652/70000 [1:59:07<22:16:15, 1.25s/step] Training: 8%|▊ | 5653/70000 [1:59:08<21:57:12, 1.23s/step] Training: 8%|▊ | 5654/70000 [1:59:09<23:02:41, 1.29s/step] Training: 8%|▊ | 5655/70000 [1:59:11<22:45:24, 1.27s/step] Training: 8%|▊ | 5656/70000 [1:59:12<22:31:34, 1.26s/step] Training: 8%|▊ | 5657/70000 [1:59:13<22:08:57, 1.24s/step] Training: 8%|▊ | 5658/70000 [1:59:14<22:38:15, 1.27s/step] Training: 8%|▊ | 5659/70000 [1:59:16<22:17:33, 1.25s/step] Training: 8%|▊ | 5660/70000 [1:59:17<22:03:06, 1.23s/step] Training: 8%|▊ | 5661/70000 [1:59:18<22:32:21, 1.26s/step] Training: 8%|▊ | 5662/70000 [1:59:19<22:52:54, 1.28s/step] Training: 8%|▊ | 5663/70000 [1:59:21<22:32:21, 1.26s/step] Training: 8%|▊ | 5664/70000 [1:59:22<22:12:45, 1.24s/step] Training: 8%|▊ | 5665/70000 [1:59:23<21:55:01, 1.23s/step] Training: 8%|▊ | 5666/70000 [1:59:24<22:29:50, 1.26s/step] Training: 8%|▊ | 5667/70000 [1:59:26<23:02:46, 1.29s/step] Training: 8%|▊ | 5668/70000 [1:59:27<23:13:40, 1.30s/step] Training: 8%|▊ | 5669/70000 [1:59:28<22:52:23, 1.28s/step] Training: 8%|▊ | 5670/70000 [1:59:29<22:40:41, 1.27s/step] Training: 8%|▊ | 5671/70000 [1:59:31<23:43:56, 1.33s/step] Training: 8%|▊ | 5672/70000 [1:59:32<23:44:13, 1.33s/step] Training: 8%|▊ | 5673/70000 [1:59:33<22:58:52, 1.29s/step] Training: 8%|▊ | 5674/70000 [1:59:35<22:45:42, 1.27s/step] Training: 8%|▊ | 5675/70000 [1:59:36<22:50:15, 1.28s/step] Training: 8%|▊ | 5676/70000 [1:59:37<23:04:17, 1.29s/step] Training: 8%|▊ | 5677/70000 [1:59:39<22:47:46, 1.28s/step] Training: 8%|▊ | 5678/70000 [1:59:40<22:36:36, 1.27s/step] Training: 8%|▊ | 5679/70000 [1:59:41<23:33:57, 1.32s/step] Training: 8%|▊ | 5680/70000 [1:59:43<23:35:12, 1.32s/step] Training: 8%|▊ | 5681/70000 [1:59:44<22:53:14, 1.28s/step] Training: 8%|▊ | 5682/70000 [1:59:45<22:34:13, 1.26s/step] Training: 8%|▊ | 5683/70000 [1:59:46<22:54:28, 1.28s/step] Training: 8%|▊ | 5684/70000 [1:59:48<22:34:10, 1.26s/step] Training: 8%|▊ | 5685/70000 [1:59:49<22:09:10, 1.24s/step] Training: 8%|▊ | 5686/70000 [1:59:50<23:13:41, 1.30s/step] Training: 8%|▊ | 5687/70000 [1:59:51<22:52:50, 1.28s/step] Training: 8%|▊ | 5688/70000 [1:59:53<22:36:49, 1.27s/step] Training: 8%|▊ | 5689/70000 [1:59:54<22:12:08, 1.24s/step] Training: 8%|▊ | 5690/70000 [1:59:55<22:38:28, 1.27s/step] Training: 8%|▊ | 5691/70000 [1:59:56<22:17:33, 1.25s/step] Training: 8%|▊ | 5692/70000 [1:59:58<22:01:10, 1.23s/step] Training: 8%|▊ | 5693/70000 [1:59:59<21:50:27, 1.22s/step] Training: 8%|▊ | 5694/70000 [2:00:00<22:21:45, 1.25s/step] Training: 8%|▊ | 5695/70000 [2:00:01<22:13:13, 1.24s/step] Training: 8%|▊ | 5696/70000 [2:00:02<22:06:33, 1.24s/step] Training: 8%|▊ | 5697/70000 [2:00:04<21:51:08, 1.22s/step] Training: 8%|▊ | 5698/70000 [2:00:05<22:25:37, 1.26s/step] Training: 8%|▊ | 5699/70000 [2:00:06<22:52:59, 1.28s/step] Training: 8%|▊ | 5700/70000 [2:00:08<23:06:14, 1.29s/step]INFO 2026-03-12 22:10:00 ot_train.py:435 step:6K smpl:365K ep:1K epch:4.83 loss:0.261 grdn:16.669 lr:2.5e-05 updt_s:1.250 data_s:0.019 Training: 8%|▊ | 5701/70000 [2:00:09<22:46:11, 1.27s/step] Training: 8%|▊ | 5702/70000 [2:00:10<22:22:49, 1.25s/step] Training: 8%|▊ | 5703/70000 [2:00:11<22:47:21, 1.28s/step] Training: 8%|▊ | 5704/70000 [2:00:13<22:21:48, 1.25s/step] Training: 8%|▊ | 5705/70000 [2:00:14<22:40:37, 1.27s/step] Training: 8%|▊ | 5706/70000 [2:00:15<22:27:36, 1.26s/step] Training: 8%|▊ | 5707/70000 [2:00:17<22:58:25, 1.29s/step] Training: 8%|▊ | 5708/70000 [2:00:18<23:08:55, 1.30s/step] Training: 8%|▊ | 5709/70000 [2:00:19<22:40:30, 1.27s/step] Training: 8%|▊ | 5710/70000 [2:00:20<22:31:25, 1.26s/step] Training: 8%|▊ | 5711/70000 [2:00:22<22:53:43, 1.28s/step] Training: 8%|▊ | 5712/70000 [2:00:23<22:24:17, 1.25s/step] Training: 8%|▊ | 5713/70000 [2:00:24<22:46:03, 1.27s/step] Training: 8%|▊ | 5714/70000 [2:00:25<22:25:42, 1.26s/step] Training: 8%|▊ | 5715/70000 [2:00:27<22:42:53, 1.27s/step] Training: 8%|▊ | 5716/70000 [2:00:28<22:27:10, 1.26s/step] Training: 8%|▊ | 5717/70000 [2:00:29<22:05:15, 1.24s/step] Training: 8%|▊ | 5718/70000 [2:00:30<22:33:38, 1.26s/step] Training: 8%|▊ | 5719/70000 [2:00:32<22:44:15, 1.27s/step] Training: 8%|▊ | 5720/70000 [2:00:33<22:17:50, 1.25s/step] Training: 8%|▊ | 5721/70000 [2:00:34<22:29:48, 1.26s/step] Training: 8%|▊ | 5722/70000 [2:00:36<22:51:52, 1.28s/step] Training: 8%|▊ | 5723/70000 [2:00:37<22:30:24, 1.26s/step] Training: 8%|▊ | 5724/70000 [2:00:38<22:10:28, 1.24s/step] Training: 8%|▊ | 5725/70000 [2:00:39<22:39:54, 1.27s/step] Training: 8%|▊ | 5726/70000 [2:00:41<22:59:34, 1.29s/step] Training: 8%|▊ | 5727/70000 [2:00:42<22:34:47, 1.26s/step] Training: 8%|▊ | 5728/70000 [2:00:43<22:11:24, 1.24s/step] Training: 8%|▊ | 5729/70000 [2:00:44<21:53:45, 1.23s/step] Training: 8%|▊ | 5730/70000 [2:00:46<22:28:24, 1.26s/step] Training: 8%|▊ | 5731/70000 [2:00:47<22:07:14, 1.24s/step] Training: 8%|▊ | 5732/70000 [2:00:48<22:34:17, 1.26s/step] Training: 8%|▊ | 5733/70000 [2:00:49<22:13:49, 1.25s/step] Training: 8%|▊ | 5734/70000 [2:00:50<22:07:46, 1.24s/step] Training: 8%|▊ | 5735/70000 [2:00:52<22:38:26, 1.27s/step] Training: 8%|▊ | 5736/70000 [2:00:53<22:14:14, 1.25s/step] Training: 8%|▊ | 5737/70000 [2:00:54<21:55:24, 1.23s/step] Training: 8%|▊ | 5738/70000 [2:00:55<21:55:09, 1.23s/step] Training: 8%|▊ | 5739/70000 [2:00:57<22:05:08, 1.24s/step] Training: 8%|▊ | 5740/70000 [2:00:58<22:33:29, 1.26s/step] Training: 8%|▊ | 5741/70000 [2:00:59<22:21:41, 1.25s/step] Training: 8%|▊ | 5742/70000 [2:01:00<22:15:39, 1.25s/step] Training: 8%|▊ | 5743/70000 [2:01:02<22:41:04, 1.27s/step] Training: 8%|▊ | 5744/70000 [2:01:03<22:15:23, 1.25s/step] Training: 8%|▊ | 5745/70000 [2:01:04<22:06:57, 1.24s/step] Training: 8%|▊ | 5746/70000 [2:01:05<22:02:26, 1.23s/step] Training: 8%|▊ | 5747/70000 [2:01:07<22:11:09, 1.24s/step] Training: 8%|▊ | 5748/70000 [2:01:08<22:05:11, 1.24s/step] Training: 8%|▊ | 5749/70000 [2:01:09<21:48:42, 1.22s/step] Training: 8%|▊ | 5750/70000 [2:01:11<22:55:45, 1.28s/step] Training: 8%|▊ | 5751/70000 [2:01:12<22:38:19, 1.27s/step] Training: 8%|▊ | 5752/70000 [2:01:13<22:12:24, 1.24s/step] Training: 8%|▊ | 5753/70000 [2:01:14<22:04:55, 1.24s/step] Training: 8%|▊ | 5754/70000 [2:01:15<22:36:45, 1.27s/step] Training: 8%|▊ | 5755/70000 [2:01:17<23:08:21, 1.30s/step] Training: 8%|▊ | 5756/70000 [2:01:18<22:40:59, 1.27s/step] Training: 8%|▊ | 5757/70000 [2:01:19<23:00:48, 1.29s/step] Training: 8%|▊ | 5758/70000 [2:01:21<23:12:04, 1.30s/step] Training: 8%|▊ | 5759/70000 [2:01:22<22:43:35, 1.27s/step] Training: 8%|▊ | 5760/70000 [2:01:23<22:17:28, 1.25s/step] Training: 8%|▊ | 5761/70000 [2:01:24<22:42:41, 1.27s/step] Training: 8%|▊ | 5762/70000 [2:01:26<23:01:35, 1.29s/step] Training: 8%|▊ | 5763/70000 [2:01:27<23:22:31, 1.31s/step] Training: 8%|▊ | 5764/70000 [2:01:28<23:27:19, 1.31s/step] Training: 8%|▊ | 5765/70000 [2:01:30<23:32:44, 1.32s/step] Training: 8%|▊ | 5766/70000 [2:01:31<23:09:26, 1.30s/step] Training: 8%|▊ | 5767/70000 [2:01:32<23:15:47, 1.30s/step] Training: 8%|▊ | 5768/70000 [2:01:34<22:39:11, 1.27s/step] Training: 8%|▊ | 5769/70000 [2:01:35<22:55:37, 1.29s/step] Training: 8%|▊ | 5770/70000 [2:01:36<22:40:14, 1.27s/step] Training: 8%|▊ | 5771/70000 [2:01:37<23:08:07, 1.30s/step] Training: 8%|▊ | 5772/70000 [2:01:39<23:14:44, 1.30s/step] Training: 8%|▊ | 5773/70000 [2:01:40<23:23:56, 1.31s/step] Training: 8%|▊ | 5774/70000 [2:01:41<22:54:06, 1.28s/step] Training: 8%|▊ | 5775/70000 [2:01:43<23:09:02, 1.30s/step] Training: 8%|▊ | 5776/70000 [2:01:44<22:35:12, 1.27s/step] Training: 8%|▊ | 5777/70000 [2:01:45<22:32:11, 1.26s/step] Training: 8%|▊ | 5778/70000 [2:01:46<22:15:31, 1.25s/step] Training: 8%|▊ | 5779/70000 [2:01:48<22:14:54, 1.25s/step] Training: 8%|▊ | 5780/70000 [2:01:49<22:07:45, 1.24s/step] Training: 8%|▊ | 5781/70000 [2:01:50<21:57:54, 1.23s/step] Training: 8%|▊ | 5782/70000 [2:01:51<22:32:52, 1.26s/step] Training: 8%|▊ | 5783/70000 [2:01:53<22:17:11, 1.25s/step] Training: 8%|▊ | 5784/70000 [2:01:54<21:57:34, 1.23s/step] Training: 8%|▊ | 5785/70000 [2:01:55<22:01:11, 1.23s/step] Training: 8%|▊ | 5786/70000 [2:01:56<22:32:06, 1.26s/step] Training: 8%|▊ | 5787/70000 [2:01:58<23:05:10, 1.29s/step] Training: 8%|▊ | 5788/70000 [2:01:59<22:36:12, 1.27s/step] Training: 8%|▊ | 5789/70000 [2:02:00<22:57:46, 1.29s/step] Training: 8%|▊ | 5790/70000 [2:02:02<23:09:37, 1.30s/step] Training: 8%|▊ | 5791/70000 [2:02:03<22:46:10, 1.28s/step] Training: 8%|▊ | 5792/70000 [2:02:04<22:19:30, 1.25s/step] Training: 8%|▊ | 5793/70000 [2:02:05<22:47:07, 1.28s/step] Training: 8%|▊ | 5794/70000 [2:02:07<23:05:13, 1.29s/step] Training: 8%|▊ | 5795/70000 [2:02:08<23:27:32, 1.32s/step] Training: 8%|▊ | 5796/70000 [2:02:09<23:29:52, 1.32s/step] Training: 8%|▊ | 5797/70000 [2:02:11<23:40:09, 1.33s/step] Training: 8%|▊ | 5798/70000 [2:02:12<23:10:41, 1.30s/step] Training: 8%|▊ | 5799/70000 [2:02:13<22:35:11, 1.27s/step] Training: 8%|▊ | 5800/70000 [2:02:14<22:52:09, 1.28s/step]INFO 2026-03-12 22:12:07 ot_train.py:435 step:6K smpl:371K ep:1K epch:4.92 loss:0.250 grdn:16.745 lr:2.5e-05 updt_s:1.246 data_s:0.019 Training: 8%|▊ | 5801/70000 [2:02:16<23:15:02, 1.30s/step] Training: 8%|▊ | 5802/70000 [2:02:17<22:55:22, 1.29s/step] Training: 8%|▊ | 5803/70000 [2:02:18<23:33:22, 1.32s/step] Training: 8%|▊ | 5804/70000 [2:02:20<23:36:18, 1.32s/step] Training: 8%|▊ | 5805/70000 [2:02:21<23:36:58, 1.32s/step] Training: 8%|▊ | 5806/70000 [2:02:22<22:58:05, 1.29s/step] Training: 8%|▊ | 5807/70000 [2:02:24<23:10:07, 1.30s/step] Training: 8%|▊ | 5808/70000 [2:02:25<22:35:34, 1.27s/step] Training: 8%|▊ | 5809/70000 [2:02:26<22:28:03, 1.26s/step] Training: 8%|▊ | 5810/70000 [2:02:27<22:10:45, 1.24s/step] Training: 8%|▊ | 5811/70000 [2:02:28<22:10:59, 1.24s/step] Training: 8%|▊ | 5812/70000 [2:02:30<21:59:07, 1.23s/step] Training: 8%|▊ | 5813/70000 [2:02:31<21:53:49, 1.23s/step] Training: 8%|▊ | 5814/70000 [2:02:32<22:26:24, 1.26s/step] Training: 8%|▊ | 5815/70000 [2:02:34<22:46:25, 1.28s/step] Training: 8%|▊ | 5816/70000 [2:02:35<22:17:38, 1.25s/step] Training: 8%|▊ | 5817/70000 [2:02:36<22:06:49, 1.24s/step] Training: 8%|▊ | 5818/70000 [2:02:37<22:34:04, 1.27s/step] Training: 8%|▊ | 5819/70000 [2:02:39<22:59:32, 1.29s/step] Training: 8%|▊ | 5820/70000 [2:02:40<22:29:06, 1.26s/step] Training: 8%|▊ | 5821/70000 [2:02:41<22:52:26, 1.28s/step] Training: 8%|▊ | 5822/70000 [2:02:43<23:09:15, 1.30s/step] Training: 8%|▊ | 5823/70000 [2:02:44<23:04:58, 1.29s/step] Training: 8%|▊ | 5824/70000 [2:02:45<22:30:31, 1.26s/step] Training: 8%|▊ | 5825/70000 [2:02:46<22:55:41, 1.29s/step] Training: 8%|▊ | 5826/70000 [2:02:48<23:13:38, 1.30s/step] Training: 8%|▊ | 5827/70000 [2:02:49<23:34:36, 1.32s/step] Training: 8%|▊ | 5828/70000 [2:02:50<23:31:47, 1.32s/step] Training: 8%|▊ | 5829/70000 [2:02:52<23:32:00, 1.32s/step] Training: 8%|▊ | 5830/70000 [2:02:53<23:08:00, 1.30s/step] Training: 8%|▊ | 5831/70000 [2:02:54<22:42:51, 1.27s/step] Training: 8%|▊ | 5832/70000 [2:02:55<22:44:12, 1.28s/step] Training: 8%|▊ | 5833/70000 [2:02:57<23:05:20, 1.30s/step] Training: 8%|▊ | 5834/70000 [2:02:58<22:35:36, 1.27s/step] Training: 8%|▊ | 5835/70000 [2:02:59<22:29:53, 1.26s/step] Training: 8%|▊ | 5836/70000 [2:03:01<22:51:30, 1.28s/step] Training: 8%|▊ | 5837/70000 [2:03:02<23:10:33, 1.30s/step] Training: 8%|▊ | 5838/70000 [2:03:03<22:45:35, 1.28s/step] Training: 8%|▊ | 5839/70000 [2:03:04<23:03:05, 1.29s/step] Training: 8%|▊ | 5840/70000 [2:03:06<22:29:22, 1.26s/step] Training: 8%|▊ | 5841/70000 [2:03:07<22:52:54, 1.28s/step] Training: 8%|▊ | 5842/70000 [2:03:08<22:39:29, 1.27s/step] Training: 8%|▊ | 5843/70000 [2:03:09<22:33:30, 1.27s/step] Training: 8%|▊ | 5844/70000 [2:03:11<22:17:47, 1.25s/step] Training: 8%|▊ | 5845/70000 [2:03:12<22:08:41, 1.24s/step] Training: 8%|▊ | 5846/70000 [2:03:13<22:35:01, 1.27s/step] Training: 8%|▊ | 5847/70000 [2:03:14<22:14:21, 1.25s/step] Training: 8%|▊ | 5848/70000 [2:03:16<22:38:41, 1.27s/step] Training: 8%|▊ | 5849/70000 [2:03:17<22:17:26, 1.25s/step] Training: 8%|▊ | 5850/70000 [2:03:18<21:57:29, 1.23s/step] Training: 8%|▊ | 5851/70000 [2:03:20<23:12:18, 1.30s/step] Training: 8%|▊ | 5852/70000 [2:03:21<22:36:44, 1.27s/step] Training: 8%|▊ | 5853/70000 [2:03:22<22:58:25, 1.29s/step] Training: 8%|▊ | 5854/70000 [2:03:23<23:12:18, 1.30s/step] Training: 8%|▊ | 5855/70000 [2:03:25<22:48:29, 1.28s/step] Training: 8%|▊ | 5856/70000 [2:03:26<23:04:40, 1.30s/step] Training: 8%|▊ | 5857/70000 [2:03:27<23:15:18, 1.31s/step] Training: 8%|▊ | 5858/70000 [2:03:29<22:37:35, 1.27s/step] Training: 8%|▊ | 5859/70000 [2:03:30<23:03:47, 1.29s/step] Training: 8%|▊ | 5860/70000 [2:03:31<23:12:06, 1.30s/step] Training: 8%|▊ | 5861/70000 [2:03:33<23:20:20, 1.31s/step] Training: 8%|▊ | 5862/70000 [2:03:34<22:52:11, 1.28s/step] Training: 8%|▊ | 5863/70000 [2:03:35<22:21:20, 1.25s/step] Training: 8%|▊ | 5864/70000 [2:03:36<22:38:55, 1.27s/step] Training: 8%|▊ | 5865/70000 [2:03:38<22:54:07, 1.29s/step] Training: 8%|▊ | 5866/70000 [2:03:39<22:40:13, 1.27s/step] Training: 8%|▊ | 5867/70000 [2:03:40<22:30:12, 1.26s/step] Training: 8%|▊ | 5868/70000 [2:03:41<22:48:02, 1.28s/step] Training: 8%|▊ | 5869/70000 [2:03:43<23:03:34, 1.29s/step] Training: 8%|▊ | 5870/70000 [2:03:44<22:43:21, 1.28s/step] Training: 8%|▊ | 5871/70000 [2:03:45<23:02:30, 1.29s/step] Training: 8%|▊ | 5872/70000 [2:03:46<22:35:16, 1.27s/step] Training: 8%|▊ | 5873/70000 [2:03:48<22:54:04, 1.29s/step] Training: 8%|▊ | 5874/70000 [2:03:49<22:29:04, 1.26s/step] Training: 8%|▊ | 5875/70000 [2:03:50<22:22:13, 1.26s/step] Training: 8%|▊ | 5876/70000 [2:03:51<22:08:20, 1.24s/step] Training: 8%|▊ | 5877/70000 [2:03:53<21:57:14, 1.23s/step] Training: 8%|▊ | 5878/70000 [2:03:54<21:43:38, 1.22s/step] Training: 8%|▊ | 5879/70000 [2:03:55<22:11:21, 1.25s/step] Training: 8%|▊ | 5880/70000 [2:03:56<22:05:51, 1.24s/step] Training: 8%|▊ | 5881/70000 [2:03:58<21:55:28, 1.23s/step] Training: 8%|▊ | 5882/70000 [2:03:59<22:26:51, 1.26s/step] Training: 8%|▊ | 5883/70000 [2:04:00<22:54:44, 1.29s/step] Training: 8%|▊ | 5884/70000 [2:04:01<22:25:43, 1.26s/step] Training: 8%|▊ | 5885/70000 [2:04:03<22:51:34, 1.28s/step] Training: 8%|▊ | 5886/70000 [2:04:04<23:06:24, 1.30s/step] Training: 8%|▊ | 5887/70000 [2:04:05<22:45:29, 1.28s/step] Training: 8%|▊ | 5888/70000 [2:04:07<22:17:45, 1.25s/step] Training: 8%|▊ | 5889/70000 [2:04:08<23:22:01, 1.31s/step] Training: 8%|▊ | 5890/70000 [2:04:09<23:24:45, 1.31s/step] Training: 8%|▊ | 5891/70000 [2:04:11<23:35:38, 1.32s/step] Training: 8%|▊ | 5892/70000 [2:04:12<23:33:04, 1.32s/step] Training: 8%|▊ | 5893/70000 [2:04:13<23:36:48, 1.33s/step] Training: 8%|▊ | 5894/70000 [2:04:15<23:28:07, 1.32s/step] Training: 8%|▊ | 5895/70000 [2:04:16<22:47:01, 1.28s/step] Training: 8%|▊ | 5896/70000 [2:04:17<22:57:44, 1.29s/step] Training: 8%|▊ | 5897/70000 [2:04:18<23:07:10, 1.30s/step] Training: 8%|▊ | 5898/70000 [2:04:20<22:45:45, 1.28s/step] Training: 8%|▊ | 5899/70000 [2:04:21<23:11:12, 1.30s/step] Training: 8%|▊ | 5900/70000 [2:04:23<27:43:25, 1.56s/step]INFO 2026-03-12 22:14:15 ot_train.py:435 step:6K smpl:378K ep:1K epch:5.00 loss:0.233 grdn:16.702 lr:2.5e-05 updt_s:1.259 data_s:0.027 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 8%|▊ | 5901/70000 [2:04:27<39:25:39, 2.21s/step] Training: 8%|▊ | 5902/70000 [2:04:28<34:34:59, 1.94s/step] Training: 8%|▊ | 5903/70000 [2:04:29<30:35:40, 1.72s/step] Training: 8%|▊ | 5904/70000 [2:04:31<28:23:35, 1.59s/step] Training: 8%|▊ | 5905/70000 [2:04:32<27:15:59, 1.53s/step] Training: 8%|▊ | 5906/70000 [2:04:33<25:53:15, 1.45s/step] Training: 8%|▊ | 5907/70000 [2:04:35<24:29:21, 1.38s/step] Training: 8%|▊ | 5908/70000 [2:04:36<25:06:48, 1.41s/step] Training: 8%|▊ | 5909/70000 [2:04:37<24:05:16, 1.35s/step] Training: 8%|▊ | 5910/70000 [2:04:39<23:13:52, 1.30s/step] Training: 8%|▊ | 5911/70000 [2:04:40<22:41:29, 1.27s/step] Training: 8%|▊ | 5912/70000 [2:04:41<22:30:16, 1.26s/step] Training: 8%|▊ | 5913/70000 [2:04:42<22:15:58, 1.25s/step] Training: 8%|▊ | 5914/70000 [2:04:44<22:42:49, 1.28s/step] Training: 8%|▊ | 5915/70000 [2:04:45<22:17:09, 1.25s/step] Training: 8%|▊ | 5916/70000 [2:04:46<22:33:04, 1.27s/step] Training: 8%|▊ | 5917/70000 [2:04:47<22:58:26, 1.29s/step] Training: 8%|▊ | 5918/70000 [2:04:49<23:11:58, 1.30s/step] Training: 8%|▊ | 5919/70000 [2:04:50<22:54:52, 1.29s/step] Training: 8%|▊ | 5920/70000 [2:04:51<22:23:51, 1.26s/step] Training: 8%|▊ | 5921/70000 [2:04:53<23:44:04, 1.33s/step] Training: 8%|▊ | 5922/70000 [2:04:54<23:41:30, 1.33s/step] Training: 8%|▊ | 5923/70000 [2:04:55<22:55:20, 1.29s/step] Training: 8%|▊ | 5924/70000 [2:04:56<23:10:35, 1.30s/step] Training: 8%|▊ | 5925/70000 [2:04:58<23:20:57, 1.31s/step] Training: 8%|▊ | 5926/70000 [2:04:59<22:45:08, 1.28s/step] Training: 8%|▊ | 5927/70000 [2:05:00<22:16:14, 1.25s/step] Training: 8%|▊ | 5928/70000 [2:05:02<23:17:01, 1.31s/step] Training: 8%|▊ | 5929/70000 [2:05:03<23:25:28, 1.32s/step] Training: 8%|▊ | 5930/70000 [2:05:04<22:58:01, 1.29s/step] Training: 8%|▊ | 5931/70000 [2:05:05<22:25:43, 1.26s/step] Training: 8%|▊ | 5932/70000 [2:05:07<22:55:36, 1.29s/step] Training: 8%|▊ | 5933/70000 [2:05:08<23:07:57, 1.30s/step] Training: 8%|▊ | 5934/70000 [2:05:09<22:44:26, 1.28s/step] Training: 8%|▊ | 5935/70000 [2:05:11<22:15:06, 1.25s/step] Training: 8%|▊ | 5936/70000 [2:05:12<21:59:30, 1.24s/step] Training: 8%|▊ | 5937/70000 [2:05:13<22:29:50, 1.26s/step] Training: 8%|▊ | 5938/70000 [2:05:14<22:12:51, 1.25s/step] Training: 8%|▊ | 5939/70000 [2:05:15<21:54:04, 1.23s/step] Training: 8%|▊ | 5940/70000 [2:05:17<22:43:51, 1.28s/step] Training: 8%|▊ | 5941/70000 [2:05:18<22:20:29, 1.26s/step] Training: 8%|▊ | 5942/70000 [2:05:19<22:00:23, 1.24s/step] Training: 8%|▊ | 5943/70000 [2:05:21<22:26:49, 1.26s/step] Training: 8%|▊ | 5944/70000 [2:05:22<22:18:30, 1.25s/step] Training: 8%|▊ | 5945/70000 [2:05:23<22:06:28, 1.24s/step] Training: 8%|▊ | 5946/70000 [2:05:24<22:37:53, 1.27s/step] Training: 8%|▊ | 5947/70000 [2:05:26<22:11:57, 1.25s/step] Training: 8%|▊ | 5948/70000 [2:05:27<22:46:12, 1.28s/step] Training: 8%|▊ | 5949/70000 [2:05:28<23:00:33, 1.29s/step] Training: 8%|▊ | 5950/70000 [2:05:30<23:11:33, 1.30s/step] Training: 9%|▊ | 5951/70000 [2:05:31<22:46:55, 1.28s/step] Training: 9%|▊ | 5952/70000 [2:05:32<22:16:57, 1.25s/step] Training: 9%|▊ | 5953/70000 [2:05:33<23:26:29, 1.32s/step] Training: 9%|▊ | 5954/70000 [2:05:35<23:29:36, 1.32s/step] Training: 9%|▊ | 5955/70000 [2:05:36<22:48:08, 1.28s/step] Training: 9%|▊ | 5956/70000 [2:05:37<22:33:26, 1.27s/step] Training: 9%|▊ | 5957/70000 [2:05:39<23:29:40, 1.32s/step] Training: 9%|▊ | 5958/70000 [2:05:40<22:54:19, 1.29s/step] Training: 9%|▊ | 5959/70000 [2:05:41<22:22:31, 1.26s/step] Training: 9%|▊ | 5960/70000 [2:05:42<22:41:49, 1.28s/step] Training: 9%|▊ | 5961/70000 [2:05:44<23:03:45, 1.30s/step] Training: 9%|▊ | 5962/70000 [2:05:45<22:42:11, 1.28s/step] Training: 9%|▊ | 5963/70000 [2:05:46<22:14:35, 1.25s/step] Training: 9%|▊ | 5964/70000 [2:05:47<22:47:37, 1.28s/step] Training: 9%|▊ | 5965/70000 [2:05:49<23:19:06, 1.31s/step] Training: 9%|▊ | 5966/70000 [2:05:50<23:25:31, 1.32s/step] Training: 9%|▊ | 5967/70000 [2:05:51<23:30:16, 1.32s/step] Training: 9%|▊ | 5968/70000 [2:05:53<23:01:16, 1.29s/step] Training: 9%|▊ | 5969/70000 [2:05:54<23:11:44, 1.30s/step] Training: 9%|▊ | 5970/70000 [2:05:55<22:39:23, 1.27s/step] Training: 9%|▊ | 5971/70000 [2:05:56<22:12:17, 1.25s/step] Training: 9%|▊ | 5972/70000 [2:05:58<22:46:01, 1.28s/step] Training: 9%|▊ | 5973/70000 [2:05:59<22:25:01, 1.26s/step] Training: 9%|▊ | 5974/70000 [2:06:00<22:10:22, 1.25s/step] Training: 9%|▊ | 5975/70000 [2:06:01<22:03:56, 1.24s/step] Training: 9%|▊ | 5976/70000 [2:06:03<21:58:15, 1.24s/step] Training: 9%|▊ | 5977/70000 [2:06:04<21:51:16, 1.23s/step] Training: 9%|▊ | 5978/70000 [2:06:05<22:22:06, 1.26s/step] Training: 9%|▊ | 5979/70000 [2:06:06<22:00:36, 1.24s/step] Training: 9%|▊ | 5980/70000 [2:06:08<22:01:47, 1.24s/step] Training: 9%|▊ | 5981/70000 [2:06:09<22:29:50, 1.27s/step] Training: 9%|▊ | 5982/70000 [2:06:10<22:54:10, 1.29s/step] Training: 9%|▊ | 5983/70000 [2:06:12<22:34:45, 1.27s/step] Training: 9%|▊ | 5984/70000 [2:06:13<22:53:33, 1.29s/step] Training: 9%|▊ | 5985/70000 [2:06:14<23:06:28, 1.30s/step] Training: 9%|▊ | 5986/70000 [2:06:16<23:15:52, 1.31s/step] Training: 9%|▊ | 5987/70000 [2:06:17<22:38:33, 1.27s/step] Training: 9%|▊ | 5988/70000 [2:06:18<22:27:40, 1.26s/step] Training: 9%|▊ | 5989/70000 [2:06:19<22:49:30, 1.28s/step] Training: 9%|▊ | 5990/70000 [2:06:20<22:20:04, 1.26s/step] Training: 9%|▊ | 5991/70000 [2:06:22<22:40:35, 1.28s/step] Training: 9%|▊ | 5992/70000 [2:06:23<23:27:11, 1.32s/step] Training: 9%|▊ | 5993/70000 [2:06:25<23:32:43, 1.32s/step] Training: 9%|▊ | 5994/70000 [2:06:26<22:53:48, 1.29s/step] Training: 9%|▊ | 5995/70000 [2:06:27<22:23:34, 1.26s/step] Training: 9%|▊ | 5996/70000 [2:06:28<22:55:15, 1.29s/step] Training: 9%|▊ | 5997/70000 [2:06:30<23:06:14, 1.30s/step] Training: 9%|▊ | 5998/70000 [2:06:31<22:30:53, 1.27s/step] Training: 9%|▊ | 5999/70000 [2:06:32<23:27:39, 1.32s/step] Training: 9%|▊ | 6000/70000 [2:06:34<23:02:40, 1.30s/step]INFO 2026-03-12 22:16:26 ot_train.py:435 step:6K smpl:384K ep:1K epch:5.09 loss:0.199 grdn:15.312 lr:2.5e-05 updt_s:1.259 data_s:0.042 Training: 9%|▊ | 6001/70000 [2:06:35<23:10:33, 1.30s/step] Training: 9%|▊ | 6002/70000 [2:06:36<22:44:42, 1.28s/step] Training: 9%|▊ | 6003/70000 [2:06:37<22:15:53, 1.25s/step] Training: 9%|▊ | 6004/70000 [2:06:39<22:49:55, 1.28s/step] Training: 9%|▊ | 6005/70000 [2:06:40<22:26:53, 1.26s/step] Training: 9%|▊ | 6006/70000 [2:06:41<22:04:15, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=4463 Training: 9%|▊ | 6007/70000 [2:06:42<22:30:50, 1.27s/step] Training: 9%|▊ | 6008/70000 [2:06:44<22:12:40, 1.25s/step] Training: 9%|▊ | 6009/70000 [2:06:45<22:02:04, 1.24s/step] Training: 9%|▊ | 6010/70000 [2:06:46<21:45:39, 1.22s/step] Training: 9%|▊ | 6011/70000 [2:06:47<22:13:41, 1.25s/step] Training: 9%|▊ | 6012/70000 [2:06:49<22:49:04, 1.28s/step] Training: 9%|▊ | 6013/70000 [2:06:50<23:01:09, 1.30s/step] Training: 9%|▊ | 6014/70000 [2:06:51<22:27:11, 1.26s/step] Training: 9%|▊ | 6015/70000 [2:06:52<22:21:48, 1.26s/step] Training: 9%|▊ | 6016/70000 [2:06:54<22:44:03, 1.28s/step] Training: 9%|▊ | 6017/70000 [2:06:55<22:58:40, 1.29s/step] Training: 9%|▊ | 6018/70000 [2:06:56<22:25:44, 1.26s/step] Training: 9%|▊ | 6019/70000 [2:06:57<22:03:42, 1.24s/step] Training: 9%|▊ | 6020/70000 [2:06:59<22:03:53, 1.24s/step] Training: 9%|▊ | 6021/70000 [2:07:00<22:33:22, 1.27s/step] Training: 9%|▊ | 6022/70000 [2:07:01<22:07:13, 1.24s/step] Training: 9%|▊ | 6023/70000 [2:07:02<22:05:38, 1.24s/step] Training: 9%|▊ | 6024/70000 [2:07:04<23:01:14, 1.30s/step] Training: 9%|▊ | 6025/70000 [2:07:05<22:25:57, 1.26s/step] Training: 9%|▊ | 6026/70000 [2:07:06<22:10:08, 1.25s/step] Training: 9%|▊ | 6027/70000 [2:07:07<21:52:17, 1.23s/step] Training: 9%|▊ | 6028/70000 [2:07:09<22:29:17, 1.27s/step] Training: 9%|▊ | 6029/70000 [2:07:10<22:47:00, 1.28s/step] Training: 9%|▊ | 6030/70000 [2:07:11<22:17:37, 1.25s/step] Training: 9%|▊ | 6031/70000 [2:07:13<22:41:27, 1.28s/step] Training: 9%|▊ | 6032/70000 [2:07:14<22:23:34, 1.26s/step] Training: 9%|▊ | 6033/70000 [2:07:15<22:11:18, 1.25s/step] Training: 9%|▊ | 6034/70000 [2:07:16<22:04:09, 1.24s/step] Training: 9%|▊ | 6035/70000 [2:07:17<21:48:39, 1.23s/step] Training: 9%|▊ | 6036/70000 [2:07:19<22:38:39, 1.27s/step] Training: 9%|▊ | 6037/70000 [2:07:20<22:16:36, 1.25s/step] Training: 9%|▊ | 6038/70000 [2:07:21<21:55:28, 1.23s/step] Training: 9%|▊ | 6039/70000 [2:07:22<21:47:04, 1.23s/step] Training: 9%|▊ | 6040/70000 [2:07:24<21:39:06, 1.22s/step] Training: 9%|▊ | 6041/70000 [2:07:25<21:35:07, 1.21s/step] Training: 9%|▊ | 6042/70000 [2:07:26<21:27:59, 1.21s/step] Training: 9%|▊ | 6043/70000 [2:07:27<22:03:59, 1.24s/step] Training: 9%|▊ | 6044/70000 [2:07:29<22:05:15, 1.24s/step] Training: 9%|▊ | 6045/70000 [2:07:30<22:31:55, 1.27s/step] Training: 9%|▊ | 6046/70000 [2:07:31<22:07:42, 1.25s/step] Training: 9%|▊ | 6047/70000 [2:07:32<22:14:18, 1.25s/step] Training: 9%|▊ | 6048/70000 [2:07:34<22:39:36, 1.28s/step] Training: 9%|▊ | 6049/70000 [2:07:35<22:57:56, 1.29s/step] Training: 9%|▊ | 6050/70000 [2:07:36<23:08:11, 1.30s/step] Training: 9%|▊ | 6051/70000 [2:07:38<22:32:19, 1.27s/step] Training: 9%|▊ | 6052/70000 [2:07:39<22:24:46, 1.26s/step] Training: 9%|▊ | 6053/70000 [2:07:40<22:47:17, 1.28s/step] Training: 9%|▊ | 6054/70000 [2:07:41<22:17:40, 1.26s/step] Training: 9%|▊ | 6055/70000 [2:07:43<22:02:03, 1.24s/step] Training: 9%|▊ | 6056/70000 [2:07:44<23:01:32, 1.30s/step] Training: 9%|▊ | 6057/70000 [2:07:45<23:11:01, 1.31s/step] Training: 9%|▊ | 6058/70000 [2:07:47<22:39:39, 1.28s/step] Training: 9%|▊ | 6059/70000 [2:07:48<22:12:03, 1.25s/step] Training: 9%|▊ | 6060/70000 [2:07:49<22:45:16, 1.28s/step] Training: 9%|▊ | 6061/70000 [2:07:50<23:04:00, 1.30s/step] Training: 9%|▊ | 6062/70000 [2:07:52<22:30:03, 1.27s/step] Training: 9%|▊ | 6063/70000 [2:07:53<22:48:02, 1.28s/step] Training: 9%|▊ | 6064/70000 [2:07:54<22:30:22, 1.27s/step] Training: 9%|▊ | 6065/70000 [2:07:55<22:17:31, 1.26s/step] Training: 9%|▊ | 6066/70000 [2:07:57<22:10:01, 1.25s/step] Training: 9%|▊ | 6067/70000 [2:07:58<21:51:38, 1.23s/step] Training: 9%|▊ | 6068/70000 [2:07:59<22:31:50, 1.27s/step] Training: 9%|▊ | 6069/70000 [2:08:00<22:12:54, 1.25s/step] Training: 9%|▊ | 6070/70000 [2:08:02<21:54:15, 1.23s/step] Training: 9%|▊ | 6071/70000 [2:08:03<22:33:36, 1.27s/step] Training: 9%|▊ | 6072/70000 [2:08:04<22:15:34, 1.25s/step] Training: 9%|▊ | 6073/70000 [2:08:05<22:02:01, 1.24s/step] Training: 9%|▊ | 6074/70000 [2:08:07<21:45:23, 1.23s/step] Training: 9%|▊ | 6075/70000 [2:08:08<22:15:27, 1.25s/step] Training: 9%|▊ | 6076/70000 [2:08:09<22:13:57, 1.25s/step] Training: 9%|▊ | 6077/70000 [2:08:10<22:43:24, 1.28s/step] Training: 9%|▊ | 6078/70000 [2:08:12<22:14:28, 1.25s/step] Training: 9%|▊ | 6079/70000 [2:08:13<22:17:01, 1.26s/step] Training: 9%|▊ | 6080/70000 [2:08:14<22:45:27, 1.28s/step] Training: 9%|▊ | 6081/70000 [2:08:16<23:01:24, 1.30s/step] Training: 9%|▊ | 6082/70000 [2:08:17<23:13:23, 1.31s/step] Training: 9%|▊ | 6083/70000 [2:08:18<22:38:45, 1.28s/step] Training: 9%|▊ | 6084/70000 [2:08:19<22:27:59, 1.27s/step] Training: 9%|▊ | 6085/70000 [2:08:21<22:51:07, 1.29s/step] Training: 9%|▊ | 6086/70000 [2:08:22<22:23:13, 1.26s/step] Training: 9%|▊ | 6087/70000 [2:08:23<22:09:08, 1.25s/step] Training: 9%|▊ | 6088/70000 [2:08:25<23:13:20, 1.31s/step] Training: 9%|▊ | 6089/70000 [2:08:26<23:20:35, 1.31s/step] Training: 9%|▊ | 6090/70000 [2:08:27<23:24:38, 1.32s/step] Training: 9%|▊ | 6091/70000 [2:08:28<22:43:33, 1.28s/step] Training: 9%|▊ | 6092/70000 [2:08:30<22:16:11, 1.25s/step] Training: 9%|▊ | 6093/70000 [2:08:31<23:12:35, 1.31s/step] Training: 9%|▊ | 6094/70000 [2:08:32<22:35:24, 1.27s/step] Training: 9%|▊ | 6095/70000 [2:08:34<22:56:06, 1.29s/step] Training: 9%|▊ | 6096/70000 [2:08:35<22:39:52, 1.28s/step] Training: 9%|▊ | 6097/70000 [2:08:36<22:23:10, 1.26s/step] Training: 9%|▊ | 6098/70000 [2:08:37<22:15:30, 1.25s/step] Training: 9%|▊ | 6099/70000 [2:08:38<21:55:42, 1.24s/step] Training: 9%|▊ | 6100/70000 [2:08:40<21:40:59, 1.22s/step]INFO 2026-03-12 22:18:32 ot_train.py:435 step:6K smpl:390K ep:1K epch:5.17 loss:0.209 grdn:14.504 lr:2.5e-05 updt_s:1.240 data_s:0.018 Training: 9%|▊ | 6101/70000 [2:08:41<22:07:53, 1.25s/step] Training: 9%|▊ | 6102/70000 [2:08:42<21:51:03, 1.23s/step] Training: 9%|▊ | 6103/70000 [2:08:43<22:30:15, 1.27s/step] Training: 9%|▊ | 6104/70000 [2:08:45<22:15:58, 1.25s/step] Training: 9%|▊ | 6105/70000 [2:08:46<22:01:57, 1.24s/step] Training: 9%|▊ | 6106/70000 [2:08:47<21:45:18, 1.23s/step] Training: 9%|▊ | 6107/70000 [2:08:48<22:15:19, 1.25s/step] Training: 9%|▊ | 6108/70000 [2:08:50<21:55:21, 1.24s/step] Training: 9%|▊ | 6109/70000 [2:08:51<22:27:13, 1.27s/step] Training: 9%|▊ | 6110/70000 [2:08:52<22:05:00, 1.24s/step] Training: 9%|▊ | 6111/70000 [2:08:53<22:06:32, 1.25s/step] Training: 9%|▊ | 6112/70000 [2:08:55<22:34:20, 1.27s/step] Training: 9%|▊ | 6113/70000 [2:08:56<22:50:21, 1.29s/step] Training: 9%|▊ | 6114/70000 [2:08:57<23:04:40, 1.30s/step] Training: 9%|▊ | 6115/70000 [2:08:59<22:30:58, 1.27s/step] Training: 9%|▊ | 6116/70000 [2:09:00<22:06:15, 1.25s/step] Training: 9%|▊ | 6117/70000 [2:09:01<22:42:46, 1.28s/step] Training: 9%|▊ | 6118/70000 [2:09:02<22:12:50, 1.25s/step] Training: 9%|▊ | 6119/70000 [2:09:04<22:39:04, 1.28s/step] Training: 9%|▊ | 6120/70000 [2:09:05<22:56:23, 1.29s/step] Training: 9%|▊ | 6121/70000 [2:09:06<23:05:27, 1.30s/step] Training: 9%|▊ | 6122/70000 [2:09:08<22:36:00, 1.27s/step] Training: 9%|▊ | 6123/70000 [2:09:09<22:08:00, 1.25s/step] Training: 9%|▊ | 6124/70000 [2:09:10<21:49:05, 1.23s/step] Training: 9%|▉ | 6125/70000 [2:09:11<22:39:27, 1.28s/step] Training: 9%|▉ | 6126/70000 [2:09:12<22:08:51, 1.25s/step] Training: 9%|▉ | 6127/70000 [2:09:14<22:44:14, 1.28s/step] Training: 9%|▉ | 6128/70000 [2:09:15<22:27:31, 1.27s/step] Training: 9%|▉ | 6129/70000 [2:09:16<22:15:00, 1.25s/step] Training: 9%|▉ | 6130/70000 [2:09:18<22:07:00, 1.25s/step] Training: 9%|▉ | 6131/70000 [2:09:19<21:48:00, 1.23s/step] Training: 9%|▉ | 6132/70000 [2:09:20<21:35:30, 1.22s/step] Training: 9%|▉ | 6133/70000 [2:09:21<22:20:43, 1.26s/step] Training: 9%|▉ | 6134/70000 [2:09:22<21:54:14, 1.23s/step] Training: 9%|▉ | 6135/70000 [2:09:24<22:35:02, 1.27s/step] Training: 9%|▉ | 6136/70000 [2:09:25<22:19:15, 1.26s/step] Training: 9%|▉ | 6137/70000 [2:09:26<22:02:04, 1.24s/step] Training: 9%|▉ | 6138/70000 [2:09:27<21:44:57, 1.23s/step] Training: 9%|▉ | 6139/70000 [2:09:29<22:17:02, 1.26s/step] Training: 9%|▉ | 6140/70000 [2:09:30<21:57:28, 1.24s/step] Training: 9%|▉ | 6141/70000 [2:09:31<22:29:29, 1.27s/step] Training: 9%|▉ | 6142/70000 [2:09:32<22:04:49, 1.24s/step] Training: 9%|▉ | 6143/70000 [2:09:34<22:04:38, 1.24s/step] Training: 9%|▉ | 6144/70000 [2:09:35<22:33:45, 1.27s/step] Training: 9%|▉ | 6145/70000 [2:09:36<22:50:02, 1.29s/step] Training: 9%|▉ | 6146/70000 [2:09:38<22:19:07, 1.26s/step] Training: 9%|▉ | 6147/70000 [2:09:39<21:56:30, 1.24s/step] Training: 9%|▉ | 6148/70000 [2:09:40<21:40:48, 1.22s/step] Training: 9%|▉ | 6149/70000 [2:09:41<22:27:38, 1.27s/step] Training: 9%|▉ | 6150/70000 [2:09:42<21:59:19, 1.24s/step] Training: 9%|▉ | 6151/70000 [2:09:44<22:27:09, 1.27s/step] Training: 9%|▉ | 6152/70000 [2:09:45<22:48:04, 1.29s/step] Training: 9%|▉ | 6153/70000 [2:09:46<22:59:36, 1.30s/step] Training: 9%|▉ | 6154/70000 [2:09:48<22:40:58, 1.28s/step] Training: 9%|▉ | 6155/70000 [2:09:49<22:13:16, 1.25s/step] Training: 9%|▉ | 6156/70000 [2:09:50<21:52:09, 1.23s/step] Training: 9%|▉ | 6157/70000 [2:09:51<22:43:16, 1.28s/step] Training: 9%|▉ | 6158/70000 [2:09:53<22:10:18, 1.25s/step] Training: 9%|▉ | 6159/70000 [2:09:54<22:33:52, 1.27s/step] Training: 9%|▉ | 6160/70000 [2:09:55<22:21:31, 1.26s/step] Training: 9%|▉ | 6161/70000 [2:09:56<22:09:22, 1.25s/step] Training: 9%|▉ | 6162/70000 [2:09:58<21:58:56, 1.24s/step] Training: 9%|▉ | 6163/70000 [2:09:59<21:42:47, 1.22s/step] Training: 9%|▉ | 6164/70000 [2:10:00<21:30:29, 1.21s/step] Training: 9%|▉ | 6165/70000 [2:10:01<22:13:10, 1.25s/step] Training: 9%|▉ | 6166/70000 [2:10:03<21:49:13, 1.23s/step] Training: 9%|▉ | 6167/70000 [2:10:04<22:30:25, 1.27s/step] Training: 9%|▉ | 6168/70000 [2:10:05<22:15:39, 1.26s/step] Training: 9%|▉ | 6169/70000 [2:10:06<22:00:21, 1.24s/step] Training: 9%|▉ | 6170/70000 [2:10:08<22:28:21, 1.27s/step] Training: 9%|▉ | 6171/70000 [2:10:09<22:04:58, 1.25s/step] Training: 9%|▉ | 6172/70000 [2:10:10<21:46:56, 1.23s/step] Training: 9%|▉ | 6173/70000 [2:10:11<22:17:44, 1.26s/step] Training: 9%|▉ | 6174/70000 [2:10:13<21:57:50, 1.24s/step] Training: 9%|▉ | 6175/70000 [2:10:14<22:06:35, 1.25s/step] Training: 9%|▉ | 6176/70000 [2:10:15<22:31:20, 1.27s/step] Training: 9%|▉ | 6177/70000 [2:10:16<22:49:03, 1.29s/step] Training: 9%|▉ | 6178/70000 [2:10:18<23:02:19, 1.30s/step] Training: 9%|▉ | 6179/70000 [2:10:19<22:28:08, 1.27s/step] Training: 9%|▉ | 6180/70000 [2:10:20<22:02:45, 1.24s/step] Training: 9%|▉ | 6181/70000 [2:10:22<22:30:11, 1.27s/step] Training: 9%|▉ | 6182/70000 [2:10:23<22:55:34, 1.29s/step] Training: 9%|▉ | 6183/70000 [2:10:24<22:24:15, 1.26s/step] Training: 9%|▉ | 6184/70000 [2:10:25<23:15:25, 1.31s/step] Training: 9%|▉ | 6185/70000 [2:10:27<23:17:34, 1.31s/step] Training: 9%|▉ | 6186/70000 [2:10:28<22:51:12, 1.29s/step] Training: 9%|▉ | 6187/70000 [2:10:29<22:19:33, 1.26s/step] Training: 9%|▉ | 6188/70000 [2:10:30<21:56:10, 1.24s/step] Training: 9%|▉ | 6189/70000 [2:10:32<22:40:27, 1.28s/step] Training: 9%|▉ | 6190/70000 [2:10:33<22:42:54, 1.28s/step] Training: 9%|▉ | 6191/70000 [2:10:34<22:58:47, 1.30s/step] Training: 9%|▉ | 6192/70000 [2:10:36<22:37:10, 1.28s/step] Training: 9%|▉ | 6193/70000 [2:10:37<22:21:38, 1.26s/step] Training: 9%|▉ | 6194/70000 [2:10:38<22:03:14, 1.24s/step] Training: 9%|▉ | 6195/70000 [2:10:39<21:46:32, 1.23s/step] Training: 9%|▉ | 6196/70000 [2:10:40<21:33:42, 1.22s/step] Training: 9%|▉ | 6197/70000 [2:10:42<21:40:04, 1.22s/step] Training: 9%|▉ | 6198/70000 [2:10:43<21:40:07, 1.22s/step] Training: 9%|▉ | 6199/70000 [2:10:44<22:19:18, 1.26s/step] Training: 9%|▉ | 6200/70000 [2:10:45<22:00:38, 1.24s/step]INFO 2026-03-12 22:20:38 ot_train.py:435 step:6K smpl:397K ep:1K epch:5.26 loss:0.215 grdn:14.774 lr:2.5e-05 updt_s:1.237 data_s:0.019 Training: 9%|▉ | 6201/70000 [2:10:47<21:49:04, 1.23s/step] Training: 9%|▉ | 6202/70000 [2:10:48<22:21:07, 1.26s/step] Training: 9%|▉ | 6203/70000 [2:10:49<21:58:01, 1.24s/step] Training: 9%|▉ | 6204/70000 [2:10:50<21:48:46, 1.23s/step] Training: 9%|▉ | 6205/70000 [2:10:52<22:18:35, 1.26s/step] Training: 9%|▉ | 6206/70000 [2:10:53<22:53:08, 1.29s/step] Training: 9%|▉ | 6207/70000 [2:10:54<22:45:38, 1.28s/step] Training: 9%|▉ | 6208/70000 [2:10:56<23:05:23, 1.30s/step] Training: 9%|▉ | 6209/70000 [2:10:57<23:12:27, 1.31s/step] Training: 9%|▉ | 6210/70000 [2:10:58<23:17:40, 1.31s/step] Training: 9%|▉ | 6211/70000 [2:11:00<22:38:05, 1.28s/step] Training: 9%|▉ | 6212/70000 [2:11:01<22:10:44, 1.25s/step] Training: 9%|▉ | 6213/70000 [2:11:02<22:33:56, 1.27s/step] Training: 9%|▉ | 6214/70000 [2:11:03<23:04:44, 1.30s/step] Training: 9%|▉ | 6215/70000 [2:11:05<22:36:34, 1.28s/step] Training: 9%|▉ | 6216/70000 [2:11:06<23:28:03, 1.32s/step] Training: 9%|▉ | 6217/70000 [2:11:07<23:27:52, 1.32s/step] Training: 9%|▉ | 6218/70000 [2:11:09<23:02:00, 1.30s/step] Training: 9%|▉ | 6219/70000 [2:11:10<22:25:28, 1.27s/step] Training: 9%|▉ | 6220/70000 [2:11:11<22:01:45, 1.24s/step] Training: 9%|▉ | 6221/70000 [2:11:12<22:40:18, 1.28s/step] Training: 9%|▉ | 6222/70000 [2:11:14<22:34:20, 1.27s/step] Training: 9%|▉ | 6223/70000 [2:11:15<22:03:50, 1.25s/step] Training: 9%|▉ | 6224/70000 [2:11:16<22:24:22, 1.26s/step] Training: 9%|▉ | 6225/70000 [2:11:17<22:12:54, 1.25s/step] Training: 9%|▉ | 6226/70000 [2:11:19<21:55:59, 1.24s/step] Training: 9%|▉ | 6227/70000 [2:11:20<21:41:16, 1.22s/step] Training: 9%|▉ | 6228/70000 [2:11:21<21:29:35, 1.21s/step] Training: 9%|▉ | 6229/70000 [2:11:22<21:31:28, 1.22s/step] Training: 9%|▉ | 6230/70000 [2:11:23<21:25:51, 1.21s/step] Training: 9%|▉ | 6231/70000 [2:11:25<22:14:24, 1.26s/step] Training: 9%|▉ | 6232/70000 [2:11:26<22:07:50, 1.25s/step] Training: 9%|▉ | 6233/70000 [2:11:27<21:55:47, 1.24s/step] Training: 9%|▉ | 6234/70000 [2:11:29<22:27:44, 1.27s/step] Training: 9%|▉ | 6235/70000 [2:11:30<22:02:07, 1.24s/step] Training: 9%|▉ | 6236/70000 [2:11:31<21:44:41, 1.23s/step] Training: 9%|▉ | 6237/70000 [2:11:32<22:20:11, 1.26s/step] Training: 9%|▉ | 6238/70000 [2:11:33<21:58:25, 1.24s/step] Training: 9%|▉ | 6239/70000 [2:11:35<22:22:31, 1.26s/step] Training: 9%|▉ | 6240/70000 [2:11:36<22:41:45, 1.28s/step] Training: 9%|▉ | 6241/70000 [2:11:37<22:53:26, 1.29s/step] Training: 9%|▉ | 6242/70000 [2:11:39<23:05:36, 1.30s/step] Training: 9%|▉ | 6243/70000 [2:11:40<22:31:04, 1.27s/step] Training: 9%|▉ | 6244/70000 [2:11:41<22:05:03, 1.25s/step] Training: 9%|▉ | 6245/70000 [2:11:42<22:37:46, 1.28s/step] Training: 9%|▉ | 6246/70000 [2:11:44<22:10:23, 1.25s/step] Training: 9%|▉ | 6247/70000 [2:11:45<22:38:24, 1.28s/step] Training: 9%|▉ | 6248/70000 [2:11:46<22:52:12, 1.29s/step] Training: 9%|▉ | 6249/70000 [2:11:48<23:01:40, 1.30s/step] Training: 9%|▉ | 6250/70000 [2:11:49<22:40:17, 1.28s/step] Training: 9%|▉ | 6251/70000 [2:11:50<22:10:56, 1.25s/step] Training: 9%|▉ | 6252/70000 [2:11:51<21:50:53, 1.23s/step] Training: 9%|▉ | 6253/70000 [2:11:53<22:31:59, 1.27s/step] Training: 9%|▉ | 6254/70000 [2:11:54<22:06:29, 1.25s/step] Training: 9%|▉ | 6255/70000 [2:11:55<22:29:30, 1.27s/step] Training: 9%|▉ | 6256/70000 [2:11:56<22:51:59, 1.29s/step] Training: 9%|▉ | 6257/70000 [2:11:58<22:29:08, 1.27s/step] Training: 9%|▉ | 6258/70000 [2:11:59<22:15:19, 1.26s/step] Training: 9%|▉ | 6259/70000 [2:12:00<21:54:45, 1.24s/step] Training: 9%|▉ | 6260/70000 [2:12:01<21:38:31, 1.22s/step] Training: 9%|▉ | 6261/70000 [2:12:02<21:36:08, 1.22s/step] Training: 9%|▉ | 6262/70000 [2:12:04<21:27:16, 1.21s/step] Training: 9%|▉ | 6263/70000 [2:12:05<22:19:41, 1.26s/step] Training: 9%|▉ | 6264/70000 [2:12:06<22:27:30, 1.27s/step] Training: 9%|▉ | 6265/70000 [2:12:08<22:06:56, 1.25s/step] Training: 9%|▉ | 6266/70000 [2:12:09<21:47:34, 1.23s/step] Training: 9%|▉ | 6267/70000 [2:12:10<22:16:21, 1.26s/step] Training: 9%|▉ | 6268/70000 [2:12:11<21:55:05, 1.24s/step] Training: 9%|▉ | 6269/70000 [2:12:13<22:22:59, 1.26s/step] Training: 9%|▉ | 6270/70000 [2:12:14<21:59:45, 1.24s/step] Training: 9%|▉ | 6271/70000 [2:12:15<22:31:24, 1.27s/step] Training: 9%|▉ | 6272/70000 [2:12:16<22:48:23, 1.29s/step] Training: 9%|▉ | 6273/70000 [2:12:18<23:01:41, 1.30s/step] Training: 9%|▉ | 6274/70000 [2:12:19<22:25:41, 1.27s/step] Training: 9%|▉ | 6275/70000 [2:12:20<22:00:29, 1.24s/step] Training: 9%|▉ | 6276/70000 [2:12:21<21:42:17, 1.23s/step] Training: 9%|▉ | 6277/70000 [2:12:23<22:13:46, 1.26s/step] Training: 9%|▉ | 6278/70000 [2:12:24<21:52:31, 1.24s/step] Training: 9%|▉ | 6279/70000 [2:12:25<22:27:43, 1.27s/step] Training: 9%|▉ | 6280/70000 [2:12:27<22:55:17, 1.29s/step] Training: 9%|▉ | 6281/70000 [2:12:28<23:01:04, 1.30s/step] Training: 9%|▉ | 6282/70000 [2:12:29<22:39:57, 1.28s/step] Training: 9%|▉ | 6283/70000 [2:12:30<22:10:21, 1.25s/step] Training: 9%|▉ | 6284/70000 [2:12:31<21:49:18, 1.23s/step] Training: 9%|▉ | 6285/70000 [2:12:33<22:33:26, 1.27s/step] Training: 9%|▉ | 6286/70000 [2:12:34<22:07:38, 1.25s/step] Training: 9%|▉ | 6287/70000 [2:12:35<22:32:36, 1.27s/step] Training: 9%|▉ | 6288/70000 [2:12:37<23:08:35, 1.31s/step] Training: 9%|▉ | 6289/70000 [2:12:38<22:40:14, 1.28s/step] Training: 9%|▉ | 6290/70000 [2:12:39<22:18:50, 1.26s/step] Training: 9%|▉ | 6291/70000 [2:12:40<21:57:18, 1.24s/step] Training: 9%|▉ | 6292/70000 [2:12:42<21:41:10, 1.23s/step] Training: 9%|▉ | 6293/70000 [2:12:43<21:36:43, 1.22s/step] Training: 9%|▉ | 6294/70000 [2:12:44<21:27:10, 1.21s/step] Training: 9%|▉ | 6295/70000 [2:12:45<22:16:01, 1.26s/step] Training: 9%|▉ | 6296/70000 [2:12:47<22:19:27, 1.26s/step] Training: 9%|▉ | 6297/70000 [2:12:48<21:58:14, 1.24s/step] Training: 9%|▉ | 6298/70000 [2:12:49<22:25:12, 1.27s/step] Training: 9%|▉ | 6299/70000 [2:12:50<22:00:55, 1.24s/step] Training: 9%|▉ | 6300/70000 [2:12:51<21:43:21, 1.23s/step]INFO 2026-03-12 22:22:44 ot_train.py:435 step:6K smpl:403K ep:1K epch:5.34 loss:0.211 grdn:15.822 lr:2.5e-05 updt_s:1.239 data_s:0.019 Training: 9%|▉ | 6301/70000 [2:12:53<22:19:37, 1.26s/step] Training: 9%|▉ | 6302/70000 [2:12:54<21:58:16, 1.24s/step] Training: 9%|▉ | 6303/70000 [2:12:55<22:25:30, 1.27s/step] Training: 9%|▉ | 6304/70000 [2:12:57<22:43:55, 1.28s/step] Training: 9%|▉ | 6305/70000 [2:12:58<23:35:48, 1.33s/step] Training: 9%|▉ | 6306/70000 [2:12:59<23:34:53, 1.33s/step] Training: 9%|▉ | 6307/70000 [2:13:01<22:49:43, 1.29s/step] Training: 9%|▉ | 6308/70000 [2:13:02<22:19:42, 1.26s/step] Training: 9%|▉ | 6309/70000 [2:13:03<22:37:13, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=65902 Training: 9%|▉ | 6310/70000 [2:13:05<22:55:09, 1.30s/step] Training: 9%|▉ | 6311/70000 [2:13:06<23:06:16, 1.31s/step] Training: 9%|▉ | 6312/70000 [2:13:07<23:11:05, 1.31s/step] Training: 9%|▉ | 6313/70000 [2:13:09<23:41:05, 1.34s/step] Training: 9%|▉ | 6314/70000 [2:13:10<23:05:53, 1.31s/step] Training: 9%|▉ | 6315/70000 [2:13:11<22:29:41, 1.27s/step] Training: 9%|▉ | 6316/70000 [2:13:12<22:03:39, 1.25s/step] Training: 9%|▉ | 6317/70000 [2:13:13<21:55:58, 1.24s/step] Training: 9%|▉ | 6318/70000 [2:13:15<22:16:30, 1.26s/step] Training: 9%|▉ | 6319/70000 [2:13:16<22:40:24, 1.28s/step] Training: 9%|▉ | 6320/70000 [2:13:17<22:24:09, 1.27s/step] Training: 9%|▉ | 6321/70000 [2:13:19<22:26:03, 1.27s/step] Training: 9%|▉ | 6322/70000 [2:13:20<22:08:53, 1.25s/step] Training: 9%|▉ | 6323/70000 [2:13:21<21:48:45, 1.23s/step] Training: 9%|▉ | 6324/70000 [2:13:22<21:34:36, 1.22s/step] Training: 9%|▉ | 6325/70000 [2:13:23<21:37:44, 1.22s/step] Training: 9%|▉ | 6326/70000 [2:13:25<21:27:02, 1.21s/step] Training: 9%|▉ | 6327/70000 [2:13:26<22:17:10, 1.26s/step] Training: 9%|▉ | 6328/70000 [2:13:27<22:00:20, 1.24s/step] Training: 9%|▉ | 6329/70000 [2:13:28<22:35:53, 1.28s/step] Training: 9%|▉ | 6330/70000 [2:13:30<22:50:27, 1.29s/step] Training: 9%|▉ | 6331/70000 [2:13:31<22:18:36, 1.26s/step] Training: 9%|▉ | 6332/70000 [2:13:32<21:55:13, 1.24s/step] Training: 9%|▉ | 6333/70000 [2:13:34<22:25:11, 1.27s/step] Training: 9%|▉ | 6334/70000 [2:13:35<22:40:11, 1.28s/step] Training: 9%|▉ | 6335/70000 [2:13:36<22:53:19, 1.29s/step] Training: 9%|▉ | 6336/70000 [2:13:37<23:02:20, 1.30s/step] Training: 9%|▉ | 6337/70000 [2:13:39<23:21:16, 1.32s/step] Training: 9%|▉ | 6338/70000 [2:13:40<23:22:44, 1.32s/step] Training: 9%|▉ | 6339/70000 [2:13:41<22:40:56, 1.28s/step] Training: 9%|▉ | 6340/70000 [2:13:43<22:10:59, 1.25s/step] Training: 9%|▉ | 6341/70000 [2:13:44<22:34:52, 1.28s/step] Training: 9%|▉ | 6342/70000 [2:13:45<22:55:03, 1.30s/step] Training: 9%|▉ | 6343/70000 [2:13:47<23:07:48, 1.31s/step] Training: 9%|▉ | 6344/70000 [2:13:48<23:12:16, 1.31s/step] Training: 9%|▉ | 6345/70000 [2:13:49<23:24:55, 1.32s/step] Training: 9%|▉ | 6346/70000 [2:13:50<22:49:35, 1.29s/step] Training: 9%|▉ | 6347/70000 [2:13:52<22:17:31, 1.26s/step] Training: 9%|▉ | 6348/70000 [2:13:53<21:54:16, 1.24s/step] Training: 9%|▉ | 6349/70000 [2:13:54<21:49:43, 1.23s/step] Training: 9%|▉ | 6350/70000 [2:13:55<21:42:01, 1.23s/step] Training: 9%|▉ | 6351/70000 [2:13:57<22:16:03, 1.26s/step] Training: 9%|▉ | 6352/70000 [2:13:58<22:05:19, 1.25s/step] Training: 9%|▉ | 6353/70000 [2:13:59<22:12:59, 1.26s/step] Training: 9%|▉ | 6354/70000 [2:14:00<21:55:16, 1.24s/step] Training: 9%|▉ | 6355/70000 [2:14:01<21:39:27, 1.23s/step] Training: 9%|▉ | 6356/70000 [2:14:03<21:28:49, 1.22s/step] Training: 9%|▉ | 6357/70000 [2:14:04<21:26:59, 1.21s/step] Training: 9%|▉ | 6358/70000 [2:14:05<22:02:24, 1.25s/step] Training: 9%|▉ | 6359/70000 [2:14:07<22:39:12, 1.28s/step] Training: 9%|▉ | 6360/70000 [2:14:08<22:16:34, 1.26s/step] Training: 9%|▉ | 6361/70000 [2:14:09<22:50:22, 1.29s/step] Training: 9%|▉ | 6362/70000 [2:14:10<23:05:01, 1.31s/step] Training: 9%|▉ | 6363/70000 [2:14:12<22:29:34, 1.27s/step] Training: 9%|▉ | 6364/70000 [2:14:13<22:03:12, 1.25s/step] Training: 9%|▉ | 6365/70000 [2:14:14<22:29:40, 1.27s/step] Training: 9%|▉ | 6366/70000 [2:14:16<22:47:56, 1.29s/step] Training: 9%|▉ | 6367/70000 [2:14:17<23:02:27, 1.30s/step] Training: 9%|▉ | 6368/70000 [2:14:18<23:14:22, 1.31s/step] Training: 9%|▉ | 6369/70000 [2:14:20<23:29:43, 1.33s/step] Training: 9%|▉ | 6370/70000 [2:14:21<23:25:44, 1.33s/step] Training: 9%|▉ | 6371/70000 [2:14:22<22:44:00, 1.29s/step] Training: 9%|▉ | 6372/70000 [2:14:23<22:12:46, 1.26s/step] Training: 9%|▉ | 6373/70000 [2:14:25<22:34:25, 1.28s/step] Training: 9%|▉ | 6374/70000 [2:14:26<22:46:53, 1.29s/step] Training: 9%|▉ | 6375/70000 [2:14:27<23:00:13, 1.30s/step] Training: 9%|▉ | 6376/70000 [2:14:29<23:44:01, 1.34s/step] Training: 9%|▉ | 6377/70000 [2:14:30<23:47:31, 1.35s/step] Training: 9%|▉ | 6378/70000 [2:14:31<23:06:58, 1.31s/step] Training: 9%|▉ | 6379/70000 [2:14:32<22:27:47, 1.27s/step] Training: 9%|▉ | 6380/70000 [2:14:34<22:00:55, 1.25s/step] Training: 9%|▉ | 6381/70000 [2:14:35<21:55:37, 1.24s/step] Training: 9%|▉ | 6382/70000 [2:14:36<21:42:17, 1.23s/step] Training: 9%|▉ | 6383/70000 [2:14:37<22:15:49, 1.26s/step] Training: 9%|▉ | 6384/70000 [2:14:39<22:32:30, 1.28s/step] Training: 9%|▉ | 6385/70000 [2:14:40<22:29:19, 1.27s/step] Training: 9%|▉ | 6386/70000 [2:14:41<22:15:41, 1.26s/step] Training: 9%|▉ | 6387/70000 [2:14:42<21:53:39, 1.24s/step] Training: 9%|▉ | 6388/70000 [2:14:44<21:37:16, 1.22s/step] Training: 9%|▉ | 6389/70000 [2:14:45<21:30:26, 1.22s/step] Training: 9%|▉ | 6390/70000 [2:14:46<22:06:49, 1.25s/step] Training: 9%|▉ | 6391/70000 [2:14:47<22:44:37, 1.29s/step] Training: 9%|▉ | 6392/70000 [2:14:49<22:24:15, 1.27s/step] Training: 9%|▉ | 6393/70000 [2:14:50<22:51:41, 1.29s/step] Training: 9%|▉ | 6394/70000 [2:14:51<22:15:11, 1.26s/step] Training: 9%|▉ | 6395/70000 [2:14:53<22:35:51, 1.28s/step] Training: 9%|▉ | 6396/70000 [2:14:54<22:07:28, 1.25s/step] Training: 9%|▉ | 6397/70000 [2:14:55<22:31:55, 1.28s/step] Training: 9%|▉ | 6398/70000 [2:14:56<22:49:06, 1.29s/step] Training: 9%|▉ | 6399/70000 [2:14:58<22:59:44, 1.30s/step] Training: 9%|▉ | 6400/70000 [2:14:59<22:24:35, 1.27s/step]INFO 2026-03-12 22:24:51 ot_train.py:435 step:6K smpl:410K ep:1K epch:5.42 loss:0.210 grdn:17.587 lr:2.5e-05 updt_s:1.254 data_s:0.019 Training: 9%|▉ | 6401/70000 [2:15:00<23:27:12, 1.33s/step] Training: 9%|▉ | 6402/70000 [2:15:02<22:40:09, 1.28s/step] Training: 9%|▉ | 6403/70000 [2:15:03<22:09:52, 1.25s/step] Training: 9%|▉ | 6404/70000 [2:15:04<21:51:05, 1.24s/step] Training: 9%|▉ | 6405/70000 [2:15:05<22:19:15, 1.26s/step] Training: 9%|▉ | 6406/70000 [2:15:07<22:37:18, 1.28s/step] Training: 9%|▉ | 6407/70000 [2:15:08<23:03:12, 1.31s/step] Training: 9%|▉ | 6408/70000 [2:15:09<22:25:56, 1.27s/step] Training: 9%|▉ | 6409/70000 [2:15:10<22:52:51, 1.30s/step] Training: 9%|▉ | 6410/70000 [2:15:12<22:30:04, 1.27s/step] Training: 9%|▉ | 6411/70000 [2:15:13<22:05:11, 1.25s/step] Training: 9%|▉ | 6412/70000 [2:15:14<21:45:11, 1.23s/step] Training: 9%|▉ | 6413/70000 [2:15:15<21:53:10, 1.24s/step] Training: 9%|▉ | 6414/70000 [2:15:17<21:47:00, 1.23s/step] Training: 9%|▉ | 6415/70000 [2:15:18<22:19:16, 1.26s/step] Training: 9%|▉ | 6416/70000 [2:15:19<22:05:28, 1.25s/step] Training: 9%|▉ | 6417/70000 [2:15:20<22:10:18, 1.26s/step] Training: 9%|▉ | 6418/70000 [2:15:22<22:01:09, 1.25s/step] Training: 9%|▉ | 6419/70000 [2:15:23<21:43:13, 1.23s/step] Training: 9%|▉ | 6420/70000 [2:15:24<21:31:10, 1.22s/step] Training: 9%|▉ | 6421/70000 [2:15:25<21:26:41, 1.21s/step] Training: 9%|▉ | 6422/70000 [2:15:27<22:03:19, 1.25s/step] Training: 9%|▉ | 6423/70000 [2:15:28<22:43:38, 1.29s/step] Training: 9%|▉ | 6424/70000 [2:15:29<22:17:44, 1.26s/step] Training: 9%|▉ | 6425/70000 [2:15:30<22:50:23, 1.29s/step] Training: 9%|▉ | 6426/70000 [2:15:32<22:17:06, 1.26s/step] Training: 9%|▉ | 6427/70000 [2:15:33<22:34:13, 1.28s/step] Training: 9%|▉ | 6428/70000 [2:15:34<22:06:38, 1.25s/step] Training: 9%|▉ | 6429/70000 [2:15:36<22:32:00, 1.28s/step] Training: 9%|▉ | 6430/70000 [2:15:37<22:51:47, 1.29s/step] Training: 9%|▉ | 6431/70000 [2:15:38<23:02:36, 1.30s/step] Training: 9%|▉ | 6432/70000 [2:15:40<23:10:38, 1.31s/step] Training: 9%|▉ | 6433/70000 [2:15:41<23:26:21, 1.33s/step] Training: 9%|▉ | 6434/70000 [2:15:42<23:20:20, 1.32s/step] Training: 9%|▉ | 6435/70000 [2:15:43<22:39:49, 1.28s/step] Training: 9%|▉ | 6436/70000 [2:15:45<22:10:11, 1.26s/step] Training: 9%|▉ | 6437/70000 [2:15:46<22:32:30, 1.28s/step] Training: 9%|▉ | 6438/70000 [2:15:47<22:52:53, 1.30s/step] Training: 9%|▉ | 6439/70000 [2:15:48<22:24:43, 1.27s/step] Training: 9%|▉ | 6440/70000 [2:15:50<23:15:10, 1.32s/step] Training: 9%|▉ | 6441/70000 [2:15:51<23:36:05, 1.34s/step] Training: 9%|▉ | 6442/70000 [2:15:52<22:51:46, 1.29s/step] Training: 9%|▉ | 6443/70000 [2:15:54<22:19:57, 1.26s/step] Training: 9%|▉ | 6444/70000 [2:15:55<21:56:09, 1.24s/step] Training: 9%|▉ | 6445/70000 [2:15:56<21:53:30, 1.24s/step] Training: 9%|▉ | 6446/70000 [2:15:57<21:46:44, 1.23s/step] Training: 9%|▉ | 6447/70000 [2:15:59<22:21:32, 1.27s/step] Training: 9%|▉ | 6448/70000 [2:16:00<22:09:22, 1.26s/step] Training: 9%|▉ | 6449/70000 [2:16:01<22:12:02, 1.26s/step] Training: 9%|▉ | 6450/70000 [2:16:02<22:00:48, 1.25s/step] Training: 9%|▉ | 6451/70000 [2:16:04<21:42:53, 1.23s/step] Training: 9%|▉ | 6452/70000 [2:16:05<21:30:04, 1.22s/step] Training: 9%|▉ | 6453/70000 [2:16:06<21:25:57, 1.21s/step] Training: 9%|▉ | 6454/70000 [2:16:07<22:01:55, 1.25s/step] Training: 9%|▉ | 6455/70000 [2:16:08<21:49:41, 1.24s/step] Training: 9%|▉ | 6456/70000 [2:16:10<22:21:58, 1.27s/step] Training: 9%|▉ | 6457/70000 [2:16:11<22:13:21, 1.26s/step] Training: 9%|▉ | 6458/70000 [2:16:12<22:40:09, 1.28s/step] Training: 9%|▉ | 6459/70000 [2:16:14<22:44:12, 1.29s/step] Training: 9%|▉ | 6460/70000 [2:16:15<22:12:26, 1.26s/step] Training: 9%|▉ | 6461/70000 [2:16:16<22:33:46, 1.28s/step] Training: 9%|▉ | 6462/70000 [2:16:18<22:57:15, 1.30s/step] Training: 9%|▉ | 6463/70000 [2:16:19<23:09:11, 1.31s/step] Training: 9%|▉ | 6464/70000 [2:16:20<23:15:59, 1.32s/step] Training: 9%|▉ | 6465/70000 [2:16:21<22:37:51, 1.28s/step] Training: 9%|▉ | 6466/70000 [2:16:23<23:34:58, 1.34s/step] Training: 9%|▉ | 6467/70000 [2:16:24<22:48:53, 1.29s/step] Training: 9%|▉ | 6468/70000 [2:16:25<22:15:12, 1.26s/step] Training: 9%|▉ | 6469/70000 [2:16:27<22:38:11, 1.28s/step] Training: 9%|▉ | 6470/70000 [2:16:28<22:53:28, 1.30s/step] Training: 9%|▉ | 6471/70000 [2:16:29<22:23:41, 1.27s/step] Training: 9%|▉ | 6472/70000 [2:16:31<23:19:31, 1.32s/step] Training: 9%|▉ | 6473/70000 [2:16:32<23:19:15, 1.32s/step] Training: 9%|▉ | 6474/70000 [2:16:33<22:55:01, 1.30s/step] Training: 9%|▉ | 6475/70000 [2:16:34<22:22:37, 1.27s/step] Training: 9%|▉ | 6476/70000 [2:16:36<21:58:44, 1.25s/step] Training: 9%|▉ | 6477/70000 [2:16:37<21:52:15, 1.24s/step] Training: 9%|▉ | 6478/70000 [2:16:38<21:43:25, 1.23s/step] Training: 9%|▉ | 6479/70000 [2:16:39<22:15:59, 1.26s/step] Training: 9%|▉ | 6480/70000 [2:16:41<22:06:46, 1.25s/step] Training: 9%|▉ | 6481/70000 [2:16:42<21:52:01, 1.24s/step] Training: 9%|▉ | 6482/70000 [2:16:43<22:30:37, 1.28s/step] Training: 9%|▉ | 6483/70000 [2:16:44<22:00:40, 1.25s/step] Training: 9%|▉ | 6484/70000 [2:16:45<21:42:27, 1.23s/step] Training: 9%|▉ | 6485/70000 [2:16:47<21:36:09, 1.22s/step] Training: 9%|▉ | 6486/70000 [2:16:48<22:12:41, 1.26s/step] Training: 9%|▉ | 6487/70000 [2:16:49<21:58:21, 1.25s/step] Training: 9%|▉ | 6488/70000 [2:16:51<22:18:20, 1.26s/step] Training: 9%|▉ | 6489/70000 [2:16:52<22:47:37, 1.29s/step] Training: 9%|▉ | 6490/70000 [2:16:53<23:08:04, 1.31s/step] Training: 9%|▉ | 6491/70000 [2:16:54<22:26:26, 1.27s/step] Training: 9%|▉ | 6492/70000 [2:16:56<21:59:52, 1.25s/step] Training: 9%|▉ | 6493/70000 [2:16:57<22:28:26, 1.27s/step] Training: 9%|▉ | 6494/70000 [2:16:58<22:01:59, 1.25s/step] Training: 9%|▉ | 6495/70000 [2:16:59<22:28:27, 1.27s/step] Training: 9%|▉ | 6496/70000 [2:17:01<22:48:10, 1.29s/step] Training: 9%|▉ | 6497/70000 [2:17:02<22:22:03, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=65902 Training: 9%|▉ | 6498/70000 [2:17:03<22:44:25, 1.29s/step] Training: 9%|▉ | 6499/70000 [2:17:05<22:13:08, 1.26s/step] Training: 9%|▉ | 6500/70000 [2:17:06<21:51:16, 1.24s/step]INFO 2026-03-12 22:26:58 ot_train.py:435 step:6K smpl:416K ep:1K epch:5.51 loss:0.224 grdn:15.899 lr:2.5e-05 updt_s:1.247 data_s:0.019 Training: 9%|▉ | 6501/70000 [2:17:07<22:21:38, 1.27s/step] Training: 9%|▉ | 6502/70000 [2:17:08<21:58:15, 1.25s/step] Training: 9%|▉ | 6503/70000 [2:17:10<22:29:05, 1.27s/step] Training: 9%|▉ | 6504/70000 [2:17:11<23:19:14, 1.32s/step] Training: 9%|▉ | 6505/70000 [2:17:12<23:20:48, 1.32s/step] Training: 9%|▉ | 6506/70000 [2:17:14<22:43:44, 1.29s/step] Training: 9%|▉ | 6507/70000 [2:17:15<23:06:34, 1.31s/step] Training: 9%|▉ | 6508/70000 [2:17:16<22:29:53, 1.28s/step] Training: 9%|▉ | 6509/70000 [2:17:17<22:22:07, 1.27s/step] Training: 9%|▉ | 6510/70000 [2:17:19<21:56:56, 1.24s/step] Training: 9%|▉ | 6511/70000 [2:17:20<22:23:34, 1.27s/step] Training: 9%|▉ | 6512/70000 [2:17:21<22:07:25, 1.25s/step] Training: 9%|▉ | 6513/70000 [2:17:22<22:32:16, 1.28s/step] Training: 9%|▉ | 6514/70000 [2:17:24<22:17:47, 1.26s/step] Training: 9%|▉ | 6515/70000 [2:17:25<22:16:05, 1.26s/step] Training: 9%|▉ | 6516/70000 [2:17:26<21:52:43, 1.24s/step] Training: 9%|▉ | 6517/70000 [2:17:27<21:47:09, 1.24s/step] Training: 9%|▉ | 6518/70000 [2:17:29<21:33:19, 1.22s/step] Training: 9%|▉ | 6519/70000 [2:17:30<22:10:18, 1.26s/step] Training: 9%|▉ | 6520/70000 [2:17:31<21:54:15, 1.24s/step] Training: 9%|▉ | 6521/70000 [2:17:32<22:21:24, 1.27s/step] Training: 9%|▉ | 6522/70000 [2:17:34<21:56:33, 1.24s/step] Training: 9%|▉ | 6523/70000 [2:17:35<22:21:07, 1.27s/step] Training: 9%|▉ | 6524/70000 [2:17:36<21:58:36, 1.25s/step] Training: 9%|▉ | 6525/70000 [2:17:37<22:26:36, 1.27s/step] Training: 9%|▉ | 6526/70000 [2:17:39<22:01:46, 1.25s/step] Training: 9%|▉ | 6527/70000 [2:17:40<22:25:23, 1.27s/step] Training: 9%|▉ | 6528/70000 [2:17:41<22:45:31, 1.29s/step] Training: 9%|▉ | 6529/70000 [2:17:43<22:20:33, 1.27s/step] Training: 9%|▉ | 6530/70000 [2:17:44<22:46:06, 1.29s/step] Training: 9%|▉ | 6531/70000 [2:17:45<23:07:02, 1.31s/step] Training: 9%|▉ | 6532/70000 [2:17:46<22:25:32, 1.27s/step] Training: 9%|▉ | 6533/70000 [2:17:48<22:46:49, 1.29s/step] Training: 9%|▉ | 6534/70000 [2:17:49<22:13:30, 1.26s/step] Training: 9%|▉ | 6535/70000 [2:17:50<22:01:20, 1.25s/step] Training: 9%|▉ | 6536/70000 [2:17:52<22:59:38, 1.30s/step] Training: 9%|▉ | 6537/70000 [2:17:53<23:04:29, 1.31s/step] Training: 9%|▉ | 6538/70000 [2:17:54<23:14:28, 1.32s/step] Training: 9%|▉ | 6539/70000 [2:17:56<23:32:44, 1.34s/step] Training: 9%|▉ | 6540/70000 [2:17:57<22:42:40, 1.29s/step] Training: 9%|▉ | 6541/70000 [2:17:58<22:28:10, 1.27s/step] Training: 9%|▉ | 6542/70000 [2:17:59<22:00:22, 1.25s/step] Training: 9%|▉ | 6543/70000 [2:18:01<22:30:32, 1.28s/step] Training: 9%|▉ | 6544/70000 [2:18:02<22:13:18, 1.26s/step] Training: 9%|▉ | 6545/70000 [2:18:03<22:32:01, 1.28s/step] Training: 9%|▉ | 6546/70000 [2:18:05<22:54:45, 1.30s/step] Training: 9%|▉ | 6547/70000 [2:18:06<23:13:52, 1.32s/step] Training: 9%|▉ | 6548/70000 [2:18:07<22:29:18, 1.28s/step] Training: 9%|▉ | 6549/70000 [2:18:08<22:04:39, 1.25s/step] Training: 9%|▉ | 6550/70000 [2:18:09<21:43:07, 1.23s/step] Training: 9%|▉ | 6551/70000 [2:18:11<22:19:44, 1.27s/step] Training: 9%|▉ | 6552/70000 [2:18:12<22:02:38, 1.25s/step] Training: 9%|▉ | 6553/70000 [2:18:13<22:26:33, 1.27s/step] Training: 9%|▉ | 6554/70000 [2:18:15<22:05:38, 1.25s/step] Training: 9%|▉ | 6555/70000 [2:18:16<22:03:44, 1.25s/step] Training: 9%|▉ | 6556/70000 [2:18:17<21:40:45, 1.23s/step] Training: 9%|▉ | 6557/70000 [2:18:18<22:13:30, 1.26s/step] Training: 9%|▉ | 6558/70000 [2:18:19<21:50:58, 1.24s/step] Training: 9%|▉ | 6559/70000 [2:18:21<22:18:06, 1.27s/step] Training: 9%|▉ | 6560/70000 [2:18:22<22:38:55, 1.29s/step] Training: 9%|▉ | 6561/70000 [2:18:23<22:17:02, 1.26s/step] Training: 9%|▉ | 6562/70000 [2:18:25<22:38:51, 1.29s/step] Training: 9%|▉ | 6563/70000 [2:18:26<22:59:52, 1.31s/step] Training: 9%|▉ | 6564/70000 [2:18:27<22:19:19, 1.27s/step] Training: 9%|▉ | 6565/70000 [2:18:29<22:38:55, 1.29s/step] Training: 9%|▉ | 6566/70000 [2:18:30<22:08:02, 1.26s/step] Training: 9%|▉ | 6567/70000 [2:18:31<21:58:20, 1.25s/step] Training: 9%|▉ | 6568/70000 [2:18:32<22:58:02, 1.30s/step] Training: 9%|▉ | 6569/70000 [2:18:34<23:04:07, 1.31s/step] Training: 9%|▉ | 6570/70000 [2:18:35<23:11:55, 1.32s/step] Training: 9%|▉ | 6571/70000 [2:18:36<23:26:40, 1.33s/step] Training: 9%|▉ | 6572/70000 [2:18:38<22:38:34, 1.29s/step] Training: 9%|▉ | 6573/70000 [2:18:39<22:20:24, 1.27s/step] Training: 9%|▉ | 6574/70000 [2:18:40<21:55:20, 1.24s/step] Training: 9%|▉ | 6575/70000 [2:18:41<22:21:46, 1.27s/step] Training: 9%|▉ | 6576/70000 [2:18:43<22:09:59, 1.26s/step] Training: 9%|▉ | 6577/70000 [2:18:44<22:32:34, 1.28s/step] Training: 9%|▉ | 6578/70000 [2:18:45<22:48:14, 1.29s/step] Training: 9%|▉ | 6579/70000 [2:18:47<23:08:23, 1.31s/step] Training: 9%|▉ | 6580/70000 [2:18:48<22:26:56, 1.27s/step] Training: 9%|▉ | 6581/70000 [2:18:49<22:05:08, 1.25s/step] Training: 9%|▉ | 6582/70000 [2:18:50<21:45:09, 1.23s/step] Training: 9%|▉ | 6583/70000 [2:18:51<22:20:46, 1.27s/step] Training: 9%|▉ | 6584/70000 [2:18:53<22:04:03, 1.25s/step] Training: 9%|▉ | 6585/70000 [2:18:54<22:33:14, 1.28s/step] Training: 9%|▉ | 6586/70000 [2:18:55<22:10:12, 1.26s/step] Training: 9%|▉ | 6587/70000 [2:18:57<22:04:32, 1.25s/step] Training: 9%|▉ | 6588/70000 [2:18:58<21:41:17, 1.23s/step] Training: 9%|▉ | 6589/70000 [2:18:59<22:12:11, 1.26s/step] Training: 9%|▉ | 6590/70000 [2:19:00<21:48:43, 1.24s/step] Training: 9%|▉ | 6591/70000 [2:19:02<22:15:35, 1.26s/step] Training: 9%|▉ | 6592/70000 [2:19:03<22:42:41, 1.29s/step] Training: 9%|▉ | 6593/70000 [2:19:04<22:17:58, 1.27s/step] Training: 9%|▉ | 6594/70000 [2:19:05<22:40:38, 1.29s/step] Training: 9%|▉ | 6595/70000 [2:19:07<23:02:41, 1.31s/step] Training: 9%|▉ | 6596/70000 [2:19:08<22:20:31, 1.27s/step] Training: 9%|▉ | 6597/70000 [2:19:09<22:38:35, 1.29s/step] Training: 9%|▉ | 6598/70000 [2:19:10<22:08:22, 1.26s/step] Training: 9%|▉ | 6599/70000 [2:19:12<22:03:52, 1.25s/step] Training: 9%|▉ | 6600/70000 [2:19:13<22:59:54, 1.31s/step]INFO 2026-03-12 22:29:05 ot_train.py:435 step:7K smpl:422K ep:1K epch:5.59 loss:0.218 grdn:15.117 lr:2.4e-05 updt_s:1.253 data_s:0.019 Training: 9%|▉ | 6601/70000 [2:19:14<23:07:14, 1.31s/step] Training: 9%|▉ | 6602/70000 [2:19:16<23:14:53, 1.32s/step] Training: 9%|▉ | 6603/70000 [2:19:17<23:35:50, 1.34s/step] Training: 9%|▉ | 6604/70000 [2:19:18<22:46:51, 1.29s/step] Training: 9%|▉ | 6605/70000 [2:19:20<22:26:04, 1.27s/step] Training: 9%|▉ | 6606/70000 [2:19:21<22:01:29, 1.25s/step] Training: 9%|▉ | 6607/70000 [2:19:22<22:31:47, 1.28s/step] Training: 9%|▉ | 6608/70000 [2:19:23<22:16:30, 1.26s/step] Training: 9%|▉ | 6609/70000 [2:19:25<22:34:27, 1.28s/step] Training: 9%|▉ | 6610/70000 [2:19:26<22:50:48, 1.30s/step] Training: 9%|▉ | 6611/70000 [2:19:27<23:11:51, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=75235 Training: 9%|▉ | 6612/70000 [2:19:29<22:30:59, 1.28s/step] Training: 9%|▉ | 6613/70000 [2:19:30<22:04:48, 1.25s/step] Training: 9%|▉ | 6614/70000 [2:19:31<21:46:04, 1.24s/step] Training: 9%|▉ | 6615/70000 [2:19:32<22:21:00, 1.27s/step] Training: 9%|▉ | 6616/70000 [2:19:34<22:14:00, 1.26s/step] Training: 9%|▉ | 6617/70000 [2:19:35<22:33:53, 1.28s/step] Training: 9%|▉ | 6618/70000 [2:19:36<22:08:27, 1.26s/step] Training: 9%|▉ | 6619/70000 [2:19:37<22:05:11, 1.25s/step] Training: 9%|▉ | 6620/70000 [2:19:39<21:41:18, 1.23s/step] Training: 9%|▉ | 6621/70000 [2:19:40<22:12:13, 1.26s/step] Training: 9%|▉ | 6622/70000 [2:19:41<21:49:12, 1.24s/step] Training: 9%|▉ | 6623/70000 [2:19:42<22:20:12, 1.27s/step] Training: 9%|▉ | 6624/70000 [2:19:44<21:54:32, 1.24s/step] Training: 9%|▉ | 6625/70000 [2:19:45<22:27:38, 1.28s/step] Training: 9%|▉ | 6626/70000 [2:19:46<22:46:23, 1.29s/step] Training: 9%|▉ | 6627/70000 [2:19:48<23:09:01, 1.32s/step] Training: 9%|▉ | 6628/70000 [2:19:49<22:25:40, 1.27s/step] Training: 9%|▉ | 6629/70000 [2:19:50<22:41:57, 1.29s/step] Training: 9%|▉ | 6630/70000 [2:19:51<22:10:32, 1.26s/step] Training: 9%|▉ | 6631/70000 [2:19:53<22:01:23, 1.25s/step] Training: 9%|▉ | 6632/70000 [2:19:54<22:21:45, 1.27s/step] Training: 9%|▉ | 6633/70000 [2:19:55<22:44:50, 1.29s/step] Training: 9%|▉ | 6634/70000 [2:19:57<23:00:10, 1.31s/step] Training: 9%|▉ | 6635/70000 [2:19:58<23:17:02, 1.32s/step] Training: 9%|▉ | 6636/70000 [2:19:59<22:31:31, 1.28s/step] Training: 9%|▉ | 6637/70000 [2:20:00<22:19:16, 1.27s/step] Training: 9%|▉ | 6638/70000 [2:20:02<21:56:29, 1.25s/step] Training: 9%|▉ | 6639/70000 [2:20:03<22:22:51, 1.27s/step] Training: 9%|▉ | 6640/70000 [2:20:04<22:11:45, 1.26s/step] Training: 9%|▉ | 6641/70000 [2:20:05<22:35:48, 1.28s/step] Training: 9%|▉ | 6642/70000 [2:20:07<22:55:23, 1.30s/step] Training: 9%|▉ | 6643/70000 [2:20:08<23:12:10, 1.32s/step] Training: 9%|▉ | 6644/70000 [2:20:09<22:28:09, 1.28s/step] Training: 9%|▉ | 6645/70000 [2:20:11<22:04:05, 1.25s/step] Training: 9%|▉ | 6646/70000 [2:20:12<21:43:24, 1.23s/step] Training: 9%|▉ | 6647/70000 [2:20:13<22:19:38, 1.27s/step] Training: 9%|▉ | 6648/70000 [2:20:14<21:58:18, 1.25s/step] Training: 9%|▉ | 6649/70000 [2:20:16<22:21:59, 1.27s/step] Training: 10%|▉ | 6650/70000 [2:20:17<22:07:18, 1.26s/step] Training: 10%|▉ | 6651/70000 [2:20:18<22:03:35, 1.25s/step] Training: 10%|▉ | 6652/70000 [2:20:19<21:40:30, 1.23s/step] Training: 10%|▉ | 6653/70000 [2:20:21<22:09:27, 1.26s/step] Training: 10%|▉ | 6654/70000 [2:20:22<21:49:41, 1.24s/step] Training: 10%|▉ | 6655/70000 [2:20:23<22:15:28, 1.26s/step] Training: 10%|▉ | 6656/70000 [2:20:24<22:36:16, 1.28s/step] Training: 10%|▉ | 6657/70000 [2:20:26<22:10:32, 1.26s/step] Training: 10%|▉ | 6658/70000 [2:20:27<22:36:41, 1.29s/step] Training: 10%|▉ | 6659/70000 [2:20:28<22:58:45, 1.31s/step] Training: 10%|▉ | 6660/70000 [2:20:29<22:19:15, 1.27s/step] Training: 10%|▉ | 6661/70000 [2:20:31<22:39:03, 1.29s/step] Training: 10%|▉ | 6662/70000 [2:20:32<22:08:24, 1.26s/step] Training: 10%|▉ | 6663/70000 [2:20:33<21:58:48, 1.25s/step] Training: 10%|▉ | 6664/70000 [2:20:35<22:58:36, 1.31s/step] Training: 10%|▉ | 6665/70000 [2:20:36<23:04:37, 1.31s/step] Training: 10%|▉ | 6666/70000 [2:20:37<23:12:42, 1.32s/step] Training: 10%|▉ | 6667/70000 [2:20:39<23:24:15, 1.33s/step] Training: 10%|▉ | 6668/70000 [2:20:40<22:35:54, 1.28s/step] Training: 10%|▉ | 6669/70000 [2:20:41<22:17:38, 1.27s/step] Training: 10%|▉ | 6670/70000 [2:20:42<21:52:49, 1.24s/step] Training: 10%|▉ | 6671/70000 [2:20:44<22:19:43, 1.27s/step] Training: 10%|▉ | 6672/70000 [2:20:45<22:06:24, 1.26s/step] Training: 10%|▉ | 6673/70000 [2:20:46<22:30:10, 1.28s/step] Training: 10%|▉ | 6674/70000 [2:20:48<22:49:52, 1.30s/step] Training: 10%|▉ | 6675/70000 [2:20:49<23:08:46, 1.32s/step] Training: 10%|▉ | 6676/70000 [2:20:50<22:25:37, 1.27s/step] Training: 10%|▉ | 6677/70000 [2:20:51<22:05:24, 1.26s/step] Training: 10%|▉ | 6678/70000 [2:20:52<21:44:35, 1.24s/step] Training: 10%|▉ | 6679/70000 [2:20:54<22:25:29, 1.27s/step] Training: 10%|▉ | 6680/70000 [2:20:55<22:03:26, 1.25s/step] Training: 10%|▉ | 6681/70000 [2:20:56<22:28:00, 1.28s/step] Training: 10%|▉ | 6682/70000 [2:20:58<22:09:34, 1.26s/step] Training: 10%|▉ | 6683/70000 [2:20:59<22:06:59, 1.26s/step] Training: 10%|▉ | 6684/70000 [2:21:00<21:41:44, 1.23s/step] Training: 10%|▉ | 6685/70000 [2:21:01<22:12:32, 1.26s/step] Training: 10%|▉ | 6686/70000 [2:21:03<21:48:30, 1.24s/step] Training: 10%|▉ | 6687/70000 [2:21:04<22:17:38, 1.27s/step] Training: 10%|▉ | 6688/70000 [2:21:05<22:34:48, 1.28s/step] Training: 10%|▉ | 6689/70000 [2:21:06<22:12:16, 1.26s/step] Training: 10%|▉ | 6690/70000 [2:21:08<22:37:47, 1.29s/step] Training: 10%|▉ | 6691/70000 [2:21:09<22:59:55, 1.31s/step] Training: 10%|▉ | 6692/70000 [2:21:10<22:19:54, 1.27s/step] Training: 10%|▉ | 6693/70000 [2:21:12<22:37:08, 1.29s/step] Training: 10%|▉ | 6694/70000 [2:21:13<22:07:24, 1.26s/step] Training: 10%|▉ | 6695/70000 [2:21:14<21:57:50, 1.25s/step] Training: 10%|▉ | 6696/70000 [2:21:15<22:56:15, 1.30s/step] Training: 10%|▉ | 6697/70000 [2:21:17<23:01:34, 1.31s/step] Training: 10%|▉ | 6698/70000 [2:21:18<23:08:17, 1.32s/step] Training: 10%|▉ | 6699/70000 [2:21:19<23:22:54, 1.33s/step] Training: 10%|▉ | 6700/70000 [2:21:21<22:36:52, 1.29s/step]INFO 2026-03-12 22:31:13 ot_train.py:435 step:7K smpl:429K ep:1K epch:5.68 loss:0.216 grdn:15.993 lr:2.4e-05 updt_s:1.254 data_s:0.018 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57676 Training: 10%|▉ | 6701/70000 [2:21:22<22:18:19, 1.27s/step] Training: 10%|▉ | 6702/70000 [2:21:23<21:53:23, 1.24s/step] Training: 10%|▉ | 6703/70000 [2:21:24<22:20:13, 1.27s/step] Training: 10%|▉ | 6704/70000 [2:21:26<22:06:17, 1.26s/step] Training: 10%|▉ | 6705/70000 [2:21:27<22:29:20, 1.28s/step] Training: 10%|▉ | 6706/70000 [2:21:28<22:46:10, 1.30s/step] Training: 10%|▉ | 6707/70000 [2:21:30<23:03:53, 1.31s/step] Training: 10%|▉ | 6708/70000 [2:21:31<22:21:27, 1.27s/step] Training: 10%|▉ | 6709/70000 [2:21:32<21:58:47, 1.25s/step] Training: 10%|▉ | 6710/70000 [2:21:33<21:39:24, 1.23s/step] Training: 10%|▉ | 6711/70000 [2:21:35<22:18:19, 1.27s/step] Training: 10%|▉ | 6712/70000 [2:21:36<21:58:06, 1.25s/step] Training: 10%|▉ | 6713/70000 [2:21:37<22:21:19, 1.27s/step] Training: 10%|▉ | 6714/70000 [2:21:38<22:02:44, 1.25s/step] Training: 10%|▉ | 6715/70000 [2:21:40<21:58:45, 1.25s/step] Training: 10%|▉ | 6716/70000 [2:21:41<21:36:36, 1.23s/step] Training: 10%|▉ | 6717/70000 [2:21:42<22:08:03, 1.26s/step] Training: 10%|▉ | 6718/70000 [2:21:43<21:48:13, 1.24s/step] Training: 10%|▉ | 6719/70000 [2:21:45<22:15:04, 1.27s/step] Training: 10%|▉ | 6720/70000 [2:21:46<22:31:49, 1.28s/step] Training: 10%|▉ | 6721/70000 [2:21:47<22:08:57, 1.26s/step] Training: 10%|▉ | 6722/70000 [2:21:48<22:28:38, 1.28s/step] Training: 10%|▉ | 6723/70000 [2:21:50<22:53:50, 1.30s/step] Training: 10%|▉ | 6724/70000 [2:21:51<22:14:10, 1.27s/step] Training: 10%|▉ | 6725/70000 [2:21:52<22:32:38, 1.28s/step] Training: 10%|▉ | 6726/70000 [2:21:53<22:02:16, 1.25s/step] Training: 10%|▉ | 6727/70000 [2:21:55<21:55:48, 1.25s/step] Training: 10%|▉ | 6728/70000 [2:21:56<22:57:31, 1.31s/step] Training: 10%|▉ | 6729/70000 [2:21:57<23:05:06, 1.31s/step] Training: 10%|▉ | 6730/70000 [2:21:59<23:10:38, 1.32s/step] Training: 10%|▉ | 6731/70000 [2:22:00<23:23:27, 1.33s/step] Training: 10%|▉ | 6732/70000 [2:22:01<22:35:42, 1.29s/step] Training: 10%|▉ | 6733/70000 [2:22:03<22:17:59, 1.27s/step] Training: 10%|▉ | 6734/70000 [2:22:04<21:51:34, 1.24s/step] Training: 10%|▉ | 6735/70000 [2:22:05<22:21:12, 1.27s/step] Training: 10%|▉ | 6736/70000 [2:22:06<22:10:40, 1.26s/step] Training: 10%|▉ | 6737/70000 [2:22:08<22:31:14, 1.28s/step] Training: 10%|▉ | 6738/70000 [2:22:09<22:45:32, 1.30s/step] Training: 10%|▉ | 6739/70000 [2:22:10<23:07:31, 1.32s/step] Training: 10%|▉ | 6740/70000 [2:22:12<22:24:02, 1.27s/step] Training: 10%|▉ | 6741/70000 [2:22:13<22:00:47, 1.25s/step] Training: 10%|▉ | 6742/70000 [2:22:14<21:40:20, 1.23s/step] Training: 10%|▉ | 6743/70000 [2:22:15<22:23:49, 1.27s/step] Training: 10%|▉ | 6744/70000 [2:22:17<22:02:57, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=57676 Training: 10%|▉ | 6745/70000 [2:22:18<22:23:27, 1.27s/step] Training: 10%|▉ | 6746/70000 [2:22:19<22:01:37, 1.25s/step] Training: 10%|▉ | 6747/70000 [2:22:20<21:55:59, 1.25s/step] Training: 10%|▉ | 6748/70000 [2:22:21<21:34:27, 1.23s/step] Training: 10%|▉ | 6749/70000 [2:22:23<22:02:54, 1.25s/step] Training: 10%|▉ | 6750/70000 [2:22:24<21:42:10, 1.24s/step] Training: 10%|▉ | 6751/70000 [2:22:25<22:10:25, 1.26s/step] Training: 10%|▉ | 6752/70000 [2:22:27<22:32:16, 1.28s/step] Training: 10%|▉ | 6753/70000 [2:22:28<22:09:09, 1.26s/step] Training: 10%|▉ | 6754/70000 [2:22:29<22:30:32, 1.28s/step] Training: 10%|▉ | 6755/70000 [2:22:31<22:56:12, 1.31s/step] Training: 10%|▉ | 6756/70000 [2:22:32<22:15:59, 1.27s/step] Training: 10%|▉ | 6757/70000 [2:22:33<22:34:51, 1.29s/step] Training: 10%|▉ | 6758/70000 [2:22:34<22:04:40, 1.26s/step] Training: 10%|▉ | 6759/70000 [2:22:35<21:56:58, 1.25s/step] Training: 10%|▉ | 6760/70000 [2:22:37<22:58:26, 1.31s/step] Training: 10%|▉ | 6761/70000 [2:22:38<23:03:32, 1.31s/step] Training: 10%|▉ | 6762/70000 [2:22:40<23:07:01, 1.32s/step] Training: 10%|▉ | 6763/70000 [2:22:41<23:20:38, 1.33s/step] Training: 10%|▉ | 6764/70000 [2:22:42<22:34:19, 1.29s/step] Training: 10%|▉ | 6765/70000 [2:22:43<22:17:30, 1.27s/step] Training: 10%|▉ | 6766/70000 [2:22:44<21:51:56, 1.24s/step] Training: 10%|▉ | 6767/70000 [2:22:46<22:20:53, 1.27s/step] Training: 10%|▉ | 6768/70000 [2:22:47<22:07:49, 1.26s/step] Training: 10%|▉ | 6769/70000 [2:22:48<22:26:57, 1.28s/step] Training: 10%|▉ | 6770/70000 [2:22:50<22:42:52, 1.29s/step] Training: 10%|▉ | 6771/70000 [2:22:51<23:02:31, 1.31s/step] Training: 10%|▉ | 6772/70000 [2:22:52<22:20:24, 1.27s/step] Training: 10%|▉ | 6773/70000 [2:22:53<21:58:49, 1.25s/step] Training: 10%|▉ | 6774/70000 [2:22:55<21:39:16, 1.23s/step] Training: 10%|▉ | 6775/70000 [2:22:56<22:25:05, 1.28s/step] Training: 10%|▉ | 6776/70000 [2:22:57<22:07:58, 1.26s/step] Training: 10%|▉ | 6777/70000 [2:22:59<22:28:47, 1.28s/step] Training: 10%|▉ | 6778/70000 [2:23:00<22:11:01, 1.26s/step] Training: 10%|▉ | 6779/70000 [2:23:01<22:02:46, 1.26s/step] Training: 10%|▉ | 6780/70000 [2:23:02<21:38:15, 1.23s/step] Training: 10%|▉ | 6781/70000 [2:23:04<22:07:31, 1.26s/step] Training: 10%|▉ | 6782/70000 [2:23:05<21:44:00, 1.24s/step] Training: 10%|▉ | 6783/70000 [2:23:06<22:12:37, 1.26s/step] Training: 10%|▉ | 6784/70000 [2:23:07<22:31:39, 1.28s/step] Training: 10%|▉ | 6785/70000 [2:23:09<22:08:17, 1.26s/step] Training: 10%|▉ | 6786/70000 [2:23:10<22:30:31, 1.28s/step] Training: 10%|▉ | 6787/70000 [2:23:11<22:55:10, 1.31s/step] Training: 10%|▉ | 6788/70000 [2:23:12<22:15:03, 1.27s/step] Training: 10%|▉ | 6789/70000 [2:23:14<22:30:46, 1.28s/step] Training: 10%|▉ | 6790/70000 [2:23:15<22:01:27, 1.25s/step] Training: 10%|▉ | 6791/70000 [2:23:16<22:35:50, 1.29s/step] Training: 10%|▉ | 6792/70000 [2:23:18<22:49:16, 1.30s/step] Training: 10%|▉ | 6793/70000 [2:23:19<22:54:43, 1.30s/step] Training: 10%|▉ | 6794/70000 [2:23:20<23:00:56, 1.31s/step] Training: 10%|▉ | 6795/70000 [2:23:22<23:15:55, 1.33s/step] Training: 10%|▉ | 6796/70000 [2:23:23<22:29:05, 1.28s/step] Training: 10%|▉ | 6797/70000 [2:23:24<22:11:53, 1.26s/step] Training: 10%|▉ | 6798/70000 [2:23:25<21:47:39, 1.24s/step] Training: 10%|▉ | 6799/70000 [2:23:27<22:15:10, 1.27s/step] Training: 10%|▉ | 6800/70000 [2:23:28<22:01:43, 1.25s/step]INFO 2026-03-12 22:33:20 ot_train.py:435 step:7K smpl:435K ep:1K epch:5.76 loss:0.226 grdn:15.254 lr:2.4e-05 updt_s:1.251 data_s:0.019 Training: 10%|▉ | 6801/70000 [2:23:29<22:24:47, 1.28s/step] Training: 10%|▉ | 6802/70000 [2:23:30<22:39:09, 1.29s/step] Training: 10%|▉ | 6803/70000 [2:23:32<22:59:31, 1.31s/step] Training: 10%|▉ | 6804/70000 [2:23:33<22:17:53, 1.27s/step] Training: 10%|▉ | 6805/70000 [2:23:34<21:58:15, 1.25s/step] Training: 10%|▉ | 6806/70000 [2:23:35<21:40:04, 1.23s/step] Training: 10%|▉ | 6807/70000 [2:23:37<22:20:41, 1.27s/step] Training: 10%|▉ | 6808/70000 [2:23:38<22:00:49, 1.25s/step] Training: 10%|▉ | 6809/70000 [2:23:39<22:22:56, 1.28s/step] Training: 10%|▉ | 6810/70000 [2:23:40<22:00:54, 1.25s/step] Training: 10%|▉ | 6811/70000 [2:23:42<22:00:37, 1.25s/step] Training: 10%|▉ | 6812/70000 [2:23:43<21:38:51, 1.23s/step] Training: 10%|▉ | 6813/70000 [2:23:44<22:05:45, 1.26s/step] Training: 10%|▉ | 6814/70000 [2:23:45<21:46:00, 1.24s/step] Training: 10%|▉ | 6815/70000 [2:23:47<22:19:10, 1.27s/step] Training: 10%|▉ | 6816/70000 [2:23:48<22:37:05, 1.29s/step] Training: 10%|▉ | 6817/70000 [2:23:49<22:11:47, 1.26s/step] Training: 10%|▉ | 6818/70000 [2:23:51<22:30:54, 1.28s/step] Training: 10%|▉ | 6819/70000 [2:23:52<22:54:35, 1.31s/step] Training: 10%|▉ | 6820/70000 [2:23:53<22:14:33, 1.27s/step] Training: 10%|▉ | 6821/70000 [2:23:54<22:33:00, 1.28s/step] Training: 10%|▉ | 6822/70000 [2:23:56<22:01:33, 1.26s/step] Training: 10%|▉ | 6823/70000 [2:23:57<22:38:58, 1.29s/step] Training: 10%|▉ | 6824/70000 [2:23:58<22:49:08, 1.30s/step] Training: 10%|▉ | 6825/70000 [2:24:00<22:57:32, 1.31s/step] Training: 10%|▉ | 6826/70000 [2:24:01<23:08:30, 1.32s/step] Training: 10%|▉ | 6827/70000 [2:24:02<23:22:41, 1.33s/step] Training: 10%|▉ | 6828/70000 [2:24:04<22:34:06, 1.29s/step] Training: 10%|▉ | 6829/70000 [2:24:05<22:24:07, 1.28s/step] Training: 10%|▉ | 6830/70000 [2:24:06<21:54:51, 1.25s/step] Training: 10%|▉ | 6831/70000 [2:24:07<22:18:41, 1.27s/step] Training: 10%|▉ | 6832/70000 [2:24:09<22:04:32, 1.26s/step] Training: 10%|▉ | 6833/70000 [2:24:10<22:29:28, 1.28s/step] Training: 10%|▉ | 6834/70000 [2:24:11<22:46:45, 1.30s/step] Training: 10%|▉ | 6835/70000 [2:24:13<23:06:40, 1.32s/step] Training: 10%|▉ | 6836/70000 [2:24:14<22:23:09, 1.28s/step] Training: 10%|▉ | 6837/70000 [2:24:15<22:03:17, 1.26s/step] Training: 10%|▉ | 6838/70000 [2:24:16<21:42:39, 1.24s/step] Training: 10%|▉ | 6839/70000 [2:24:18<22:28:34, 1.28s/step] Training: 10%|▉ | 6840/70000 [2:24:19<22:09:14, 1.26s/step] Training: 10%|▉ | 6841/70000 [2:24:20<22:31:10, 1.28s/step] Training: 10%|▉ | 6842/70000 [2:24:21<22:10:24, 1.26s/step] Training: 10%|▉ | 6843/70000 [2:24:23<22:04:50, 1.26s/step] Training: 10%|▉ | 6844/70000 [2:24:24<21:39:52, 1.23s/step] Training: 10%|▉ | 6845/70000 [2:24:25<22:07:43, 1.26s/step] Training: 10%|▉ | 6846/70000 [2:24:26<21:45:29, 1.24s/step] Training: 10%|▉ | 6847/70000 [2:24:28<22:12:27, 1.27s/step] Training: 10%|▉ | 6848/70000 [2:24:29<22:35:55, 1.29s/step] Training: 10%|▉ | 6849/70000 [2:24:30<22:09:41, 1.26s/step] Training: 10%|▉ | 6850/70000 [2:24:32<22:33:44, 1.29s/step] Training: 10%|▉ | 6851/70000 [2:24:33<22:57:14, 1.31s/step] Training: 10%|▉ | 6852/70000 [2:24:34<22:16:17, 1.27s/step] Training: 10%|▉ | 6853/70000 [2:24:35<22:33:51, 1.29s/step] Training: 10%|▉ | 6854/70000 [2:24:37<22:03:56, 1.26s/step] Training: 10%|▉ | 6855/70000 [2:24:38<22:41:40, 1.29s/step] Training: 10%|▉ | 6856/70000 [2:24:39<22:51:40, 1.30s/step] Training: 10%|▉ | 6857/70000 [2:24:41<22:56:59, 1.31s/step] Training: 10%|▉ | 6858/70000 [2:24:42<23:05:42, 1.32s/step] Training: 10%|▉ | 6859/70000 [2:24:43<23:19:33, 1.33s/step] Training: 10%|▉ | 6860/70000 [2:24:44<22:32:19, 1.29s/step] Training: 10%|▉ | 6861/70000 [2:24:46<22:13:23, 1.27s/step] Training: 10%|▉ | 6862/70000 [2:24:47<21:47:01, 1.24s/step] Training: 10%|▉ | 6863/70000 [2:24:48<22:16:53, 1.27s/step] Training: 10%|▉ | 6864/70000 [2:24:49<22:03:18, 1.26s/step] Training: 10%|▉ | 6865/70000 [2:24:51<22:21:12, 1.27s/step] Training: 10%|▉ | 6866/70000 [2:24:52<22:41:35, 1.29s/step] Training: 10%|▉ | 6867/70000 [2:24:53<23:00:29, 1.31s/step] Training: 10%|▉ | 6868/70000 [2:24:55<22:18:39, 1.27s/step] Training: 10%|▉ | 6869/70000 [2:24:56<22:02:58, 1.26s/step] Training: 10%|▉ | 6870/70000 [2:24:57<21:41:04, 1.24s/step] Training: 10%|▉ | 6871/70000 [2:24:58<22:26:55, 1.28s/step] Training: 10%|▉ | 6872/70000 [2:25:00<22:07:03, 1.26s/step] Training: 10%|▉ | 6873/70000 [2:25:01<22:28:39, 1.28s/step] Training: 10%|▉ | 6874/70000 [2:25:02<22:08:33, 1.26s/step] Training: 10%|▉ | 6875/70000 [2:25:03<22:00:28, 1.26s/step] Training: 10%|▉ | 6876/70000 [2:25:05<21:37:15, 1.23s/step] Training: 10%|▉ | 6877/70000 [2:25:06<22:08:47, 1.26s/step] Training: 10%|▉ | 6878/70000 [2:25:07<21:45:21, 1.24s/step] Training: 10%|▉ | 6879/70000 [2:25:08<22:13:27, 1.27s/step] Training: 10%|▉ | 6880/70000 [2:25:10<22:33:13, 1.29s/step] Training: 10%|▉ | 6881/70000 [2:25:11<22:09:32, 1.26s/step] Training: 10%|▉ | 6882/70000 [2:25:12<22:30:00, 1.28s/step] Training: 10%|▉ | 6883/70000 [2:25:14<22:55:19, 1.31s/step] Training: 10%|▉ | 6884/70000 [2:25:15<22:14:59, 1.27s/step] Training: 10%|▉ | 6885/70000 [2:25:16<22:33:17, 1.29s/step] Training: 10%|▉ | 6886/70000 [2:25:17<22:02:31, 1.26s/step] Training: 10%|▉ | 6887/70000 [2:25:19<21:55:07, 1.25s/step] Training: 10%|▉ | 6888/70000 [2:25:20<22:54:49, 1.31s/step] Training: 10%|▉ | 6889/70000 [2:25:21<23:01:33, 1.31s/step] Training: 10%|▉ | 6890/70000 [2:25:23<23:10:07, 1.32s/step] Training: 10%|▉ | 6891/70000 [2:25:24<23:21:33, 1.33s/step] Training: 10%|▉ | 6892/70000 [2:25:25<22:34:09, 1.29s/step] Training: 10%|▉ | 6893/70000 [2:25:26<22:14:08, 1.27s/step] Training: 10%|▉ | 6894/70000 [2:25:28<21:48:58, 1.24s/step] Training: 10%|▉ | 6895/70000 [2:25:29<22:42:35, 1.30s/step] Training: 10%|▉ | 6896/70000 [2:25:30<22:18:57, 1.27s/step] Training: 10%|▉ | 6897/70000 [2:25:32<22:37:32, 1.29s/step] Training: 10%|▉ | 6898/70000 [2:25:33<22:48:29, 1.30s/step] Training: 10%|▉ | 6899/70000 [2:25:34<23:06:14, 1.32s/step] Training: 10%|▉ | 6900/70000 [2:25:36<22:22:36, 1.28s/step]INFO 2026-03-12 22:35:28 ot_train.py:435 step:7K smpl:442K ep:2K epch:5.85 loss:0.224 grdn:15.369 lr:2.4e-05 updt_s:1.256 data_s:0.018 Training: 10%|▉ | 6901/70000 [2:25:37<22:05:10, 1.26s/step] Training: 10%|▉ | 6902/70000 [2:25:38<21:42:08, 1.24s/step] Training: 10%|▉ | 6903/70000 [2:25:39<21:39:40, 1.24s/step] Training: 10%|▉ | 6904/70000 [2:25:40<21:35:06, 1.23s/step] Training: 10%|▉ | 6905/70000 [2:25:42<22:03:50, 1.26s/step] Training: 10%|▉ | 6906/70000 [2:25:43<21:48:50, 1.24s/step] Training: 10%|▉ | 6907/70000 [2:25:44<21:47:17, 1.24s/step] Training: 10%|▉ | 6908/70000 [2:25:45<21:26:55, 1.22s/step] Training: 10%|▉ | 6909/70000 [2:25:47<21:15:19, 1.21s/step] Training: 10%|▉ | 6910/70000 [2:25:48<21:45:59, 1.24s/step] Training: 10%|▉ | 6911/70000 [2:25:49<22:16:56, 1.27s/step] Training: 10%|▉ | 6912/70000 [2:25:50<22:37:05, 1.29s/step] Training: 10%|▉ | 6913/70000 [2:25:52<22:07:47, 1.26s/step] Training: 10%|▉ | 6914/70000 [2:25:53<22:27:55, 1.28s/step] Training: 10%|▉ | 6915/70000 [2:25:54<22:50:38, 1.30s/step] Training: 10%|▉ | 6916/70000 [2:25:56<22:11:14, 1.27s/step] Training: 10%|▉ | 6917/70000 [2:25:57<22:32:17, 1.29s/step] Training: 10%|▉ | 6918/70000 [2:25:58<22:01:46, 1.26s/step] Training: 10%|▉ | 6919/70000 [2:25:59<22:28:33, 1.28s/step] Training: 10%|▉ | 6920/70000 [2:26:01<22:45:05, 1.30s/step] Training: 10%|▉ | 6921/70000 [2:26:02<22:52:18, 1.31s/step] Training: 10%|▉ | 6922/70000 [2:26:03<22:58:12, 1.31s/step] Training: 10%|▉ | 6923/70000 [2:26:05<22:20:38, 1.28s/step] Training: 10%|▉ | 6924/70000 [2:26:06<22:41:44, 1.30s/step] Training: 10%|▉ | 6925/70000 [2:26:07<22:11:15, 1.27s/step] Training: 10%|▉ | 6926/70000 [2:26:08<21:45:57, 1.24s/step] Training: 10%|▉ | 6927/70000 [2:26:10<22:17:49, 1.27s/step] Training: 10%|▉ | 6928/70000 [2:26:11<22:01:54, 1.26s/step] Training: 10%|▉ | 6929/70000 [2:26:12<22:22:52, 1.28s/step] Training: 10%|▉ | 6930/70000 [2:26:14<22:39:41, 1.29s/step] Training: 10%|▉ | 6931/70000 [2:26:15<22:07:18, 1.26s/step] Training: 10%|▉ | 6932/70000 [2:26:16<22:32:50, 1.29s/step] Training: 10%|▉ | 6933/70000 [2:26:17<22:10:09, 1.27s/step] Training: 10%|▉ | 6934/70000 [2:26:18<21:46:26, 1.24s/step] Training: 10%|▉ | 6935/70000 [2:26:20<21:34:32, 1.23s/step] Training: 10%|▉ | 6936/70000 [2:26:21<22:00:44, 1.26s/step] Training: 10%|▉ | 6937/70000 [2:26:22<22:25:05, 1.28s/step] Training: 10%|▉ | 6938/70000 [2:26:24<22:02:38, 1.26s/step] Training: 10%|▉ | 6939/70000 [2:26:25<21:44:04, 1.24s/step] Training: 10%|▉ | 6940/70000 [2:26:26<21:25:31, 1.22s/step] Training: 10%|▉ | 6941/70000 [2:26:27<21:13:47, 1.21s/step] Training: 10%|▉ | 6942/70000 [2:26:28<21:46:47, 1.24s/step] Training: 10%|▉ | 6943/70000 [2:26:30<21:44:24, 1.24s/step] Training: 10%|▉ | 6944/70000 [2:26:31<22:14:18, 1.27s/step] Training: 10%|▉ | 6945/70000 [2:26:32<21:56:03, 1.25s/step] Training: 10%|▉ | 6946/70000 [2:26:34<22:19:30, 1.27s/step] Training: 10%|▉ | 6947/70000 [2:26:35<21:54:10, 1.25s/step] Training: 10%|▉ | 6948/70000 [2:26:36<21:46:45, 1.24s/step] Training: 10%|▉ | 6949/70000 [2:26:37<22:09:53, 1.27s/step] Training: 10%|▉ | 6950/70000 [2:26:38<21:48:48, 1.25s/step] Training: 10%|▉ | 6951/70000 [2:26:40<21:45:06, 1.24s/step] Training: 10%|▉ | 6952/70000 [2:26:41<22:41:20, 1.30s/step] Training: 10%|▉ | 6953/70000 [2:26:42<22:49:32, 1.30s/step] Training: 10%|▉ | 6954/70000 [2:26:44<22:55:31, 1.31s/step] Training: 10%|▉ | 6955/70000 [2:26:45<22:17:58, 1.27s/step] Training: 10%|▉ | 6956/70000 [2:26:46<22:12:47, 1.27s/step] Training: 10%|▉ | 6957/70000 [2:26:48<22:18:29, 1.27s/step] Training: 10%|▉ | 6958/70000 [2:26:49<21:51:14, 1.25s/step] Training: 10%|▉ | 6959/70000 [2:26:50<22:16:51, 1.27s/step] Training: 10%|▉ | 6960/70000 [2:26:51<22:04:22, 1.26s/step] Training: 10%|▉ | 6961/70000 [2:26:53<22:26:58, 1.28s/step] Training: 10%|▉ | 6962/70000 [2:26:54<22:41:09, 1.30s/step] Training: 10%|▉ | 6963/70000 [2:26:55<22:09:49, 1.27s/step] Training: 10%|▉ | 6964/70000 [2:26:56<22:37:45, 1.29s/step] Training: 10%|▉ | 6965/70000 [2:26:58<22:43:46, 1.30s/step] Training: 10%|▉ | 6966/70000 [2:26:59<22:09:18, 1.27s/step] Training: 10%|▉ | 6967/70000 [2:27:00<22:44:33, 1.30s/step] Training: 10%|▉ | 6968/70000 [2:27:02<22:12:46, 1.27s/step] Training: 10%|▉ | 6969/70000 [2:27:03<22:41:22, 1.30s/step] Training: 10%|▉ | 6970/70000 [2:27:04<22:15:11, 1.27s/step] Training: 10%|▉ | 6971/70000 [2:27:05<21:50:09, 1.25s/step] Training: 10%|▉ | 6972/70000 [2:27:07<22:24:41, 1.28s/step] Training: 10%|▉ | 6973/70000 [2:27:08<21:58:12, 1.25s/step] Training: 10%|▉ | 6974/70000 [2:27:09<21:36:42, 1.23s/step] Training: 10%|▉ | 6975/70000 [2:27:10<22:06:29, 1.26s/step] Training: 10%|▉ | 6976/70000 [2:27:12<22:26:39, 1.28s/step] Training: 10%|▉ | 6977/70000 [2:27:13<22:08:59, 1.27s/step] Training: 10%|▉ | 6978/70000 [2:27:14<22:31:55, 1.29s/step] Training: 10%|▉ | 6979/70000 [2:27:15<22:00:32, 1.26s/step] Training: 10%|▉ | 6980/70000 [2:27:17<22:29:51, 1.29s/step] Training: 10%|▉ | 6981/70000 [2:27:18<22:38:30, 1.29s/step] Training: 10%|▉ | 6982/70000 [2:27:19<22:05:28, 1.26s/step] Training: 10%|▉ | 6983/70000 [2:27:21<22:36:13, 1.29s/step] Training: 10%|▉ | 6984/70000 [2:27:22<22:51:04, 1.31s/step] Training: 10%|▉ | 6985/70000 [2:27:23<23:00:00, 1.31s/step] Training: 10%|▉ | 6986/70000 [2:27:25<23:05:32, 1.32s/step] Training: 10%|▉ | 6987/70000 [2:27:26<22:25:50, 1.28s/step] Training: 10%|▉ | 6988/70000 [2:27:27<22:11:37, 1.27s/step] Training: 10%|▉ | 6989/70000 [2:27:28<22:26:48, 1.28s/step] Training: 10%|▉ | 6990/70000 [2:27:30<21:57:31, 1.25s/step] Training: 10%|▉ | 6991/70000 [2:27:31<22:23:08, 1.28s/step] Training: 10%|▉ | 6992/70000 [2:27:32<22:08:35, 1.27s/step] Training: 10%|▉ | 6993/70000 [2:27:34<22:34:08, 1.29s/step] Training: 10%|▉ | 6994/70000 [2:27:35<22:47:02, 1.30s/step] Training: 10%|▉ | 6995/70000 [2:27:36<22:12:01, 1.27s/step] Training: 10%|▉ | 6996/70000 [2:27:37<21:46:54, 1.24s/step] Training: 10%|▉ | 6997/70000 [2:27:39<22:36:34, 1.29s/step] Training: 10%|▉ | 6998/70000 [2:27:40<22:04:42, 1.26s/step] Training: 10%|▉ | 6999/70000 [2:27:41<22:37:02, 1.29s/step] Training: 10%|█ | 7000/70000 [2:27:42<22:12:49, 1.27s/step]INFO 2026-03-12 22:37:35 ot_train.py:435 step:7K smpl:448K ep:2K epch:5.93 loss:0.231 grdn:15.587 lr:2.4e-05 updt_s:1.248 data_s:0.019 Training: 10%|█ | 7001/70000 [2:27:44<22:33:05, 1.29s/step] Training: 10%|█ | 7002/70000 [2:27:45<22:11:15, 1.27s/step] Training: 10%|█ | 7003/70000 [2:27:46<21:47:15, 1.25s/step] Training: 10%|█ | 7004/70000 [2:27:47<21:30:16, 1.23s/step] Training: 10%|█ | 7005/70000 [2:27:49<21:48:42, 1.25s/step] Training: 10%|█ | 7006/70000 [2:27:50<21:29:23, 1.23s/step] Training: 10%|█ | 7007/70000 [2:27:51<22:05:25, 1.26s/step] Training: 10%|█ | 7008/70000 [2:27:52<22:26:37, 1.28s/step] Training: 10%|█ | 7009/70000 [2:27:54<22:08:33, 1.27s/step] Training: 10%|█ | 7010/70000 [2:27:55<22:32:58, 1.29s/step] Training: 10%|█ | 7011/70000 [2:27:56<22:01:40, 1.26s/step] Training: 10%|█ | 7012/70000 [2:27:57<21:40:02, 1.24s/step] Training: 10%|█ | 7013/70000 [2:27:59<22:06:23, 1.26s/step] Training: 10%|█ | 7014/70000 [2:28:00<21:43:20, 1.24s/step] Training: 10%|█ | 7015/70000 [2:28:01<22:22:30, 1.28s/step] Training: 10%|█ | 7016/70000 [2:28:03<22:38:35, 1.29s/step] Training: 10%|█ | 7017/70000 [2:28:04<22:52:32, 1.31s/step] Training: 10%|█ | 7018/70000 [2:28:05<22:58:17, 1.31s/step] Training: 10%|█ | 7019/70000 [2:28:06<22:19:51, 1.28s/step] Training: 10%|█ | 7020/70000 [2:28:08<21:52:03, 1.25s/step] Training: 10%|█ | 7021/70000 [2:28:09<22:27:47, 1.28s/step] Training: 10%|█ | 7022/70000 [2:28:10<21:54:11, 1.25s/step] Training: 10%|█ | 7023/70000 [2:28:12<22:20:13, 1.28s/step] Training: 10%|█ | 7024/70000 [2:28:13<22:10:46, 1.27s/step] Training: 10%|█ | 7025/70000 [2:28:14<22:30:37, 1.29s/step] Training: 10%|█ | 7026/70000 [2:28:15<22:43:25, 1.30s/step] Training: 10%|█ | 7027/70000 [2:28:17<22:09:44, 1.27s/step] Training: 10%|█ | 7028/70000 [2:28:18<21:44:19, 1.24s/step] Training: 10%|█ | 7029/70000 [2:28:19<22:20:49, 1.28s/step] Training: 10%|█ | 7030/70000 [2:28:20<21:48:50, 1.25s/step] Training: 10%|█ | 7031/70000 [2:28:22<22:26:44, 1.28s/step] Training: 10%|█ | 7032/70000 [2:28:23<22:04:04, 1.26s/step] Training: 10%|█ | 7033/70000 [2:28:24<22:27:56, 1.28s/step] Training: 10%|█ | 7034/70000 [2:28:26<22:06:08, 1.26s/step] Training: 10%|█ | 7035/70000 [2:28:27<21:42:48, 1.24s/step] Training: 10%|█ | 7036/70000 [2:28:28<21:25:04, 1.22s/step] Training: 10%|█ | 7037/70000 [2:28:29<21:37:06, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=65902 Training: 10%|█ | 7038/70000 [2:28:30<21:18:42, 1.22s/step] Training: 10%|█ | 7039/70000 [2:28:32<22:07:06, 1.26s/step] Training: 10%|█ | 7040/70000 [2:28:33<22:25:00, 1.28s/step] Training: 10%|█ | 7041/70000 [2:28:34<22:01:27, 1.26s/step] Training: 10%|█ | 7042/70000 [2:28:36<22:22:52, 1.28s/step] Training: 10%|█ | 7043/70000 [2:28:37<21:54:48, 1.25s/step] Training: 10%|█ | 7044/70000 [2:28:38<21:34:00, 1.23s/step] Training: 10%|█ | 7045/70000 [2:28:39<22:02:39, 1.26s/step] Training: 10%|█ | 7046/70000 [2:28:41<22:27:50, 1.28s/step] Training: 10%|█ | 7047/70000 [2:28:42<22:47:15, 1.30s/step] Training: 10%|█ | 7048/70000 [2:28:43<22:56:54, 1.31s/step] Training: 10%|█ | 7049/70000 [2:28:45<23:03:42, 1.32s/step] Training: 10%|█ | 7050/70000 [2:28:46<23:06:46, 1.32s/step] Training: 10%|█ | 7051/70000 [2:28:47<22:24:18, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=21237 Training: 10%|█ | 7052/70000 [2:28:48<21:54:15, 1.25s/step] Training: 10%|█ | 7053/70000 [2:28:50<22:16:58, 1.27s/step] Training: 10%|█ | 7054/70000 [2:28:51<22:12:29, 1.27s/step] Training: 10%|█ | 7055/70000 [2:28:52<22:29:22, 1.29s/step] Training: 10%|█ | 7056/70000 [2:28:53<22:08:54, 1.27s/step] Training: 10%|█ | 7057/70000 [2:28:55<22:26:48, 1.28s/step] Training: 10%|█ | 7058/70000 [2:28:56<22:41:17, 1.30s/step] Training: 10%|█ | 7059/70000 [2:28:57<22:07:26, 1.27s/step] Training: 10%|█ | 7060/70000 [2:28:58<21:41:45, 1.24s/step] Training: 10%|█ | 7061/70000 [2:29:00<22:07:36, 1.27s/step] Training: 10%|█ | 7062/70000 [2:29:01<21:57:33, 1.26s/step] Training: 10%|█ | 7063/70000 [2:29:02<22:32:13, 1.29s/step] Training: 10%|█ | 7064/70000 [2:29:04<22:04:49, 1.26s/step] Training: 10%|█ | 7065/70000 [2:29:05<22:25:02, 1.28s/step] Training: 10%|█ | 7066/70000 [2:29:06<22:01:27, 1.26s/step] Training: 10%|█ | 7067/70000 [2:29:07<21:39:50, 1.24s/step] Training: 10%|█ | 7068/70000 [2:29:09<21:23:37, 1.22s/step] Training: 10%|█ | 7069/70000 [2:29:10<21:17:46, 1.22s/step] Training: 10%|█ | 7070/70000 [2:29:11<22:00:55, 1.26s/step] Training: 10%|█ | 7071/70000 [2:29:12<22:34:19, 1.29s/step] Training: 10%|█ | 7072/70000 [2:29:14<22:48:19, 1.30s/step] Training: 10%|█ | 7073/70000 [2:29:15<22:17:48, 1.28s/step] Training: 10%|█ | 7074/70000 [2:29:16<22:35:09, 1.29s/step] Training: 10%|█ | 7075/70000 [2:29:17<22:03:43, 1.26s/step] Training: 10%|█ | 7076/70000 [2:29:19<21:39:26, 1.24s/step] Training: 10%|█ | 7077/70000 [2:29:20<22:07:37, 1.27s/step] Training: 10%|█ | 7078/70000 [2:29:21<22:34:32, 1.29s/step] Training: 10%|█ | 7079/70000 [2:29:23<22:47:27, 1.30s/step] Training: 10%|█ | 7080/70000 [2:29:25<27:35:01, 1.58s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 10%|█ | 7081/70000 [2:29:29<40:09:24, 2.30s/step] Training: 10%|█ | 7082/70000 [2:29:30<35:19:19, 2.02s/step] Training: 10%|█ | 7083/70000 [2:29:31<31:00:32, 1.77s/step] Training: 10%|█ | 7084/70000 [2:29:33<27:55:50, 1.60s/step] Training: 10%|█ | 7085/70000 [2:29:34<26:47:15, 1.53s/step] Training: 10%|█ | 7086/70000 [2:29:35<26:17:40, 1.50s/step] Training: 10%|█ | 7087/70000 [2:29:37<25:42:40, 1.47s/step] Training: 10%|█ | 7088/70000 [2:29:38<25:13:04, 1.44s/step] Training: 10%|█ | 7089/70000 [2:29:39<23:57:36, 1.37s/step] Training: 10%|█ | 7090/70000 [2:29:41<23:45:40, 1.36s/step] Training: 10%|█ | 7091/70000 [2:29:42<22:53:44, 1.31s/step] Training: 10%|█ | 7092/70000 [2:29:43<22:14:46, 1.27s/step] Training: 10%|█ | 7093/70000 [2:29:44<22:02:41, 1.26s/step] Training: 10%|█ | 7094/70000 [2:29:46<22:04:08, 1.26s/step] Training: 10%|█ | 7095/70000 [2:29:47<22:37:35, 1.29s/step] Training: 10%|█ | 7096/70000 [2:29:48<22:11:32, 1.27s/step] Training: 10%|█ | 7097/70000 [2:29:49<21:58:23, 1.26s/step] Training: 10%|█ | 7098/70000 [2:29:51<21:43:38, 1.24s/step] Training: 10%|█ | 7099/70000 [2:29:52<21:27:11, 1.23s/step] Training: 10%|█ | 7100/70000 [2:29:53<21:15:24, 1.22s/step]INFO 2026-03-12 22:39:45 ot_train.py:435 step:7K smpl:454K ep:2K epch:6.02 loss:0.211 grdn:15.000 lr:2.4e-05 updt_s:1.252 data_s:0.053 Training: 10%|█ | 7101/70000 [2:29:54<21:06:52, 1.21s/step] Training: 10%|█ | 7102/70000 [2:29:56<22:33:37, 1.29s/step] Training: 10%|█ | 7103/70000 [2:29:57<22:20:49, 1.28s/step] Training: 10%|█ | 7104/70000 [2:29:58<22:38:25, 1.30s/step] Training: 10%|█ | 7105/70000 [2:30:00<22:13:24, 1.27s/step] Training: 10%|█ | 7106/70000 [2:30:01<23:19:23, 1.33s/step] Training: 10%|█ | 7107/70000 [2:30:02<22:35:07, 1.29s/step] Training: 10%|█ | 7108/70000 [2:30:03<22:02:12, 1.26s/step] Training: 10%|█ | 7109/70000 [2:30:05<21:39:36, 1.24s/step] Training: 10%|█ | 7110/70000 [2:30:06<22:15:23, 1.27s/step] Training: 10%|█ | 7111/70000 [2:30:07<22:42:33, 1.30s/step] Training: 10%|█ | 7112/70000 [2:30:09<22:52:12, 1.31s/step] Training: 10%|█ | 7113/70000 [2:30:10<23:04:21, 1.32s/step] Training: 10%|█ | 7114/70000 [2:30:11<23:11:34, 1.33s/step] Training: 10%|█ | 7115/70000 [2:30:13<22:27:39, 1.29s/step] Training: 10%|█ | 7116/70000 [2:30:14<21:57:38, 1.26s/step] Training: 10%|█ | 7117/70000 [2:30:15<21:52:18, 1.25s/step] Training: 10%|█ | 7118/70000 [2:30:16<22:25:27, 1.28s/step] Training: 10%|█ | 7119/70000 [2:30:18<22:40:14, 1.30s/step] Training: 10%|█ | 7120/70000 [2:30:19<22:51:06, 1.31s/step] Training: 10%|█ | 7121/70000 [2:30:20<22:16:55, 1.28s/step] Training: 10%|█ | 7122/70000 [2:30:22<22:35:13, 1.29s/step] Training: 10%|█ | 7123/70000 [2:30:23<22:02:47, 1.26s/step] Training: 10%|█ | 7124/70000 [2:30:24<21:40:07, 1.24s/step] Training: 10%|█ | 7125/70000 [2:30:25<21:31:01, 1.23s/step] Training: 10%|█ | 7126/70000 [2:30:26<21:33:48, 1.23s/step] Training: 10%|█ | 7127/70000 [2:30:28<22:07:16, 1.27s/step] Training: 10%|█ | 7128/70000 [2:30:29<21:48:42, 1.25s/step] Training: 10%|█ | 7129/70000 [2:30:30<21:42:03, 1.24s/step] Training: 10%|█ | 7130/70000 [2:30:31<21:32:13, 1.23s/step] Training: 10%|█ | 7131/70000 [2:30:33<21:18:55, 1.22s/step] Training: 10%|█ | 7132/70000 [2:30:34<21:09:07, 1.21s/step] Training: 10%|█ | 7133/70000 [2:30:35<21:47:18, 1.25s/step] Training: 10%|█ | 7134/70000 [2:30:36<22:32:06, 1.29s/step] Training: 10%|█ | 7135/70000 [2:30:38<23:09:14, 1.33s/step] Training: 10%|█ | 7136/70000 [2:30:39<23:10:21, 1.33s/step] Training: 10%|█ | 7137/70000 [2:30:40<22:27:00, 1.29s/step] Training: 10%|█ | 7138/70000 [2:30:42<22:35:39, 1.29s/step] Training: 10%|█ | 7139/70000 [2:30:43<22:52:16, 1.31s/step] Training: 10%|█ | 7140/70000 [2:30:44<22:14:25, 1.27s/step] Training: 10%|█ | 7141/70000 [2:30:46<22:31:08, 1.29s/step] Training: 10%|█ | 7142/70000 [2:30:47<22:52:50, 1.31s/step] Training: 10%|█ | 7143/70000 [2:30:48<22:32:21, 1.29s/step] Training: 10%|█ | 7144/70000 [2:30:49<22:51:29, 1.31s/step] Training: 10%|█ | 7145/70000 [2:30:51<22:58:25, 1.32s/step] Training: 10%|█ | 7146/70000 [2:30:52<22:17:59, 1.28s/step] Training: 10%|█ | 7147/70000 [2:30:53<22:16:26, 1.28s/step] Training: 10%|█ | 7148/70000 [2:30:54<21:49:54, 1.25s/step] Training: 10%|█ | 7149/70000 [2:30:56<21:42:55, 1.24s/step] Training: 10%|█ | 7150/70000 [2:30:57<22:17:52, 1.28s/step] Training: 10%|█ | 7151/70000 [2:30:58<22:38:14, 1.30s/step] Training: 10%|█ | 7152/70000 [2:31:00<22:51:22, 1.31s/step] Training: 10%|█ | 7153/70000 [2:31:01<22:17:30, 1.28s/step] Training: 10%|█ | 7154/70000 [2:31:02<21:49:24, 1.25s/step] Training: 10%|█ | 7155/70000 [2:31:03<21:35:22, 1.24s/step] Training: 10%|█ | 7156/70000 [2:31:05<21:20:55, 1.22s/step] Training: 10%|█ | 7157/70000 [2:31:06<21:16:33, 1.22s/step] Training: 10%|█ | 7158/70000 [2:31:07<21:21:32, 1.22s/step] Training: 10%|█ | 7159/70000 [2:31:08<21:52:35, 1.25s/step] Training: 10%|█ | 7160/70000 [2:31:10<21:40:51, 1.24s/step] Training: 10%|█ | 7161/70000 [2:31:11<21:41:11, 1.24s/step] Training: 10%|█ | 7162/70000 [2:31:12<21:26:51, 1.23s/step] Training: 10%|█ | 7163/70000 [2:31:13<22:00:32, 1.26s/step] Training: 10%|█ | 7164/70000 [2:31:14<21:38:12, 1.24s/step] Training: 10%|█ | 7165/70000 [2:31:16<22:05:58, 1.27s/step] Training: 10%|█ | 7166/70000 [2:31:17<22:36:43, 1.30s/step] Training: 10%|█ | 7167/70000 [2:31:19<22:57:20, 1.32s/step] Training: 10%|█ | 7168/70000 [2:31:20<22:59:26, 1.32s/step] Training: 10%|█ | 7169/70000 [2:31:21<22:19:43, 1.28s/step] Training: 10%|█ | 7170/70000 [2:31:22<22:31:39, 1.29s/step] Training: 10%|█ | 7171/70000 [2:31:24<22:48:15, 1.31s/step] Training: 10%|█ | 7172/70000 [2:31:25<22:12:40, 1.27s/step] Training: 10%|█ | 7173/70000 [2:31:26<22:32:43, 1.29s/step] Training: 10%|█ | 7174/70000 [2:31:28<22:54:00, 1.31s/step] Training: 10%|█ | 7175/70000 [2:31:29<22:33:52, 1.29s/step] Training: 10%|█ | 7176/70000 [2:31:30<22:45:31, 1.30s/step] Training: 10%|█ | 7177/70000 [2:31:31<22:50:29, 1.31s/step] Training: 10%|█ | 7178/70000 [2:31:33<22:13:52, 1.27s/step] Training: 10%|█ | 7179/70000 [2:31:34<22:32:30, 1.29s/step] Training: 10%|█ | 7180/70000 [2:31:35<21:59:56, 1.26s/step] Training: 10%|█ | 7181/70000 [2:31:36<21:47:37, 1.25s/step] Training: 10%|█ | 7182/70000 [2:31:38<22:21:13, 1.28s/step] Training: 10%|█ | 7183/70000 [2:31:39<22:35:33, 1.29s/step] Training: 10%|█ | 7184/70000 [2:31:40<22:47:26, 1.31s/step] Training: 10%|█ | 7185/70000 [2:31:42<22:13:55, 1.27s/step] Training: 10%|█ | 7186/70000 [2:31:43<21:47:31, 1.25s/step] Training: 10%|█ | 7187/70000 [2:31:44<21:36:07, 1.24s/step] Training: 10%|█ | 7188/70000 [2:31:45<21:23:24, 1.23s/step] Training: 10%|█ | 7189/70000 [2:31:46<21:21:14, 1.22s/step] Training: 10%|█ | 7190/70000 [2:31:48<21:42:06, 1.24s/step] Training: 10%|█ | 7191/70000 [2:31:49<22:15:55, 1.28s/step] Training: 10%|█ | 7192/70000 [2:31:50<21:58:47, 1.26s/step] Training: 10%|█ | 7193/70000 [2:31:52<21:47:35, 1.25s/step] Training: 10%|█ | 7194/70000 [2:31:53<21:29:02, 1.23s/step] Training: 10%|█ | 7195/70000 [2:31:54<22:00:51, 1.26s/step] Training: 10%|█ | 7196/70000 [2:31:55<21:40:14, 1.24s/step] Training: 10%|█ | 7197/70000 [2:31:57<22:06:52, 1.27s/step] Training: 10%|█ | 7198/70000 [2:31:58<22:40:18, 1.30s/step] Training: 10%|█ | 7199/70000 [2:31:59<22:58:56, 1.32s/step] Training: 10%|█ | 7200/70000 [2:32:01<23:03:02, 1.32s/step]INFO 2026-03-12 22:41:53 ot_train.py:435 step:7K smpl:461K ep:2K epch:6.10 loss:0.185 grdn:14.178 lr:2.4e-05 updt_s:1.255 data_s:0.019 Training: 10%|█ | 7201/70000 [2:32:02<22:23:35, 1.28s/step] Training: 10%|█ | 7202/70000 [2:32:03<22:32:51, 1.29s/step] Training: 10%|█ | 7203/70000 [2:32:05<22:49:01, 1.31s/step] Training: 10%|█ | 7204/70000 [2:32:06<22:13:53, 1.27s/step] Training: 10%|█ | 7205/70000 [2:32:07<22:30:05, 1.29s/step] Training: 10%|█ | 7206/70000 [2:32:08<22:51:42, 1.31s/step] Training: 10%|█ | 7207/70000 [2:32:10<22:29:22, 1.29s/step] Training: 10%|█ | 7208/70000 [2:32:11<22:45:38, 1.30s/step] Training: 10%|█ | 7209/70000 [2:32:12<22:09:15, 1.27s/step] Training: 10%|█ | 7210/70000 [2:32:13<21:42:54, 1.25s/step] Training: 10%|█ | 7211/70000 [2:32:15<22:07:46, 1.27s/step] Training: 10%|█ | 7212/70000 [2:32:16<21:43:14, 1.25s/step] Training: 10%|█ | 7213/70000 [2:32:17<21:36:53, 1.24s/step] Training: 10%|█ | 7214/70000 [2:32:18<21:38:01, 1.24s/step] Training: 10%|█ | 7215/70000 [2:32:20<22:07:28, 1.27s/step] Training: 10%|█ | 7216/70000 [2:32:21<22:27:06, 1.29s/step] Training: 10%|█ | 7217/70000 [2:32:22<22:09:35, 1.27s/step] Training: 10%|█ | 7218/70000 [2:32:23<21:48:14, 1.25s/step] Training: 10%|█ | 7219/70000 [2:32:25<21:34:28, 1.24s/step] Training: 10%|█ | 7220/70000 [2:32:26<21:21:07, 1.22s/step] Training: 10%|█ | 7221/70000 [2:32:27<21:17:39, 1.22s/step] Training: 10%|█ | 7222/70000 [2:32:28<21:22:57, 1.23s/step] Training: 10%|█ | 7223/70000 [2:32:30<21:54:44, 1.26s/step] Training: 10%|█ | 7224/70000 [2:32:31<21:39:27, 1.24s/step] Training: 10%|█ | 7225/70000 [2:32:32<21:27:40, 1.23s/step] Training: 10%|█ | 7226/70000 [2:32:33<21:13:56, 1.22s/step] Training: 10%|█ | 7227/70000 [2:32:35<21:49:19, 1.25s/step] Training: 10%|█ | 7228/70000 [2:32:36<21:30:46, 1.23s/step] Training: 10%|█ | 7229/70000 [2:32:37<21:58:47, 1.26s/step] Training: 10%|█ | 7230/70000 [2:32:38<22:27:48, 1.29s/step] Training: 10%|█ | 7231/70000 [2:32:40<22:50:06, 1.31s/step] Training: 10%|█ | 7232/70000 [2:32:41<23:28:52, 1.35s/step] Training: 10%|█ | 7233/70000 [2:32:43<23:25:01, 1.34s/step] Training: 10%|█ | 7234/70000 [2:32:44<22:37:03, 1.30s/step] Training: 10%|█ | 7235/70000 [2:32:45<22:49:54, 1.31s/step] Training: 10%|█ | 7236/70000 [2:32:46<22:15:32, 1.28s/step] Training: 10%|█ | 7237/70000 [2:32:48<22:30:47, 1.29s/step] Training: 10%|█ | 7238/70000 [2:32:49<22:53:37, 1.31s/step] Training: 10%|█ | 7239/70000 [2:32:50<22:17:59, 1.28s/step] Training: 10%|█ | 7240/70000 [2:32:52<23:05:26, 1.32s/step] Training: 10%|█ | 7241/70000 [2:32:53<23:05:19, 1.32s/step] Training: 10%|█ | 7242/70000 [2:32:54<22:22:36, 1.28s/step] Training: 10%|█ | 7243/70000 [2:32:55<22:33:39, 1.29s/step] Training: 10%|█ | 7244/70000 [2:32:57<22:01:24, 1.26s/step] Training: 10%|█ | 7245/70000 [2:32:58<21:52:19, 1.25s/step] Training: 10%|█ | 7246/70000 [2:32:59<21:54:36, 1.26s/step] Training: 10%|█ | 7247/70000 [2:33:00<22:29:45, 1.29s/step] Training: 10%|█ | 7248/70000 [2:33:02<22:46:00, 1.31s/step] Training: 10%|█ | 7249/70000 [2:33:03<22:21:29, 1.28s/step] Training: 10%|█ | 7250/70000 [2:33:04<21:52:04, 1.25s/step] Training: 10%|█ | 7251/70000 [2:33:05<21:40:17, 1.24s/step] Training: 10%|█ | 7252/70000 [2:33:07<21:23:33, 1.23s/step] Training: 10%|█ | 7253/70000 [2:33:08<21:16:51, 1.22s/step] Training: 10%|█ | 7254/70000 [2:33:09<21:23:07, 1.23s/step] Training: 10%|█ | 7255/70000 [2:33:10<21:56:13, 1.26s/step] Training: 10%|█ | 7256/70000 [2:33:12<22:06:44, 1.27s/step] Training: 10%|█ | 7257/70000 [2:33:13<21:46:04, 1.25s/step] Training: 10%|█ | 7258/70000 [2:33:14<21:27:53, 1.23s/step] Training: 10%|█ | 7259/70000 [2:33:15<21:15:36, 1.22s/step] Training: 10%|█ | 7260/70000 [2:33:17<21:51:11, 1.25s/step] Training: 10%|█ | 7261/70000 [2:33:18<22:18:17, 1.28s/step] Training: 10%|█ | 7262/70000 [2:33:19<22:48:57, 1.31s/step] Training: 10%|█ | 7263/70000 [2:33:21<23:03:17, 1.32s/step] Training: 10%|█ | 7264/70000 [2:33:22<23:05:11, 1.32s/step] Training: 10%|█ | 7265/70000 [2:33:23<23:06:55, 1.33s/step] Training: 10%|█ | 7266/70000 [2:33:25<22:25:42, 1.29s/step] Training: 10%|█ | 7267/70000 [2:33:26<21:53:12, 1.26s/step] Training: 10%|█ | 7268/70000 [2:33:27<21:59:53, 1.26s/step] Training: 10%|█ | 7269/70000 [2:33:28<22:21:29, 1.28s/step] Training: 10%|█ | 7270/70000 [2:33:30<22:44:49, 1.31s/step] Training: 10%|█ | 7271/70000 [2:33:31<22:15:33, 1.28s/step] Training: 10%|█ | 7272/70000 [2:33:32<22:30:44, 1.29s/step] Training: 10%|█ | 7273/70000 [2:33:34<22:39:57, 1.30s/step] Training: 10%|█ | 7274/70000 [2:33:35<22:08:38, 1.27s/step] Training: 10%|█ | 7275/70000 [2:33:36<21:44:48, 1.25s/step] Training: 10%|█ | 7276/70000 [2:33:37<21:30:17, 1.23s/step] Training: 10%|█ | 7277/70000 [2:33:38<21:26:24, 1.23s/step] Training: 10%|█ | 7278/70000 [2:33:40<21:28:21, 1.23s/step] Training: 10%|█ | 7279/70000 [2:33:41<22:02:43, 1.27s/step] Training: 10%|█ | 7280/70000 [2:33:42<22:22:48, 1.28s/step] Training: 10%|█ | 7281/70000 [2:33:44<22:05:22, 1.27s/step] Training: 10%|█ | 7282/70000 [2:33:45<21:41:24, 1.25s/step] Training: 10%|█ | 7283/70000 [2:33:46<21:24:08, 1.23s/step] Training: 10%|█ | 7284/70000 [2:33:47<21:55:49, 1.26s/step] Training: 10%|█ | 7285/70000 [2:33:48<21:40:03, 1.24s/step] Training: 10%|█ | 7286/70000 [2:33:50<21:39:04, 1.24s/step] Training: 10%|█ | 7287/70000 [2:33:51<22:04:10, 1.27s/step] Training: 10%|█ | 7288/70000 [2:33:52<22:22:20, 1.28s/step] Training: 10%|█ | 7289/70000 [2:33:54<22:00:25, 1.26s/step] Training: 10%|█ | 7290/70000 [2:33:55<21:37:20, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=29153 Training: 10%|█ | 7291/70000 [2:33:56<21:24:14, 1.23s/step] Training: 10%|█ | 7292/70000 [2:33:57<21:58:25, 1.26s/step] Training: 10%|█ | 7293/70000 [2:33:59<22:19:08, 1.28s/step] Training: 10%|█ | 7294/70000 [2:34:00<22:42:31, 1.30s/step] Training: 10%|█ | 7295/70000 [2:34:01<22:53:07, 1.31s/step] Training: 10%|█ | 7296/70000 [2:34:03<22:57:33, 1.32s/step] Training: 10%|█ | 7297/70000 [2:34:04<23:03:05, 1.32s/step] Training: 10%|█ | 7298/70000 [2:34:05<22:20:34, 1.28s/step] Training: 10%|█ | 7299/70000 [2:34:06<21:52:33, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=5676 Training: 10%|█ | 7300/70000 [2:34:08<21:46:34, 1.25s/step]INFO 2026-03-12 22:44:00 ot_train.py:435 step:7K smpl:467K ep:2K epch:6.19 loss:0.187 grdn:14.071 lr:2.4e-05 updt_s:1.248 data_s:0.019 Training: 10%|█ | 7301/70000 [2:34:09<22:14:24, 1.28s/step] Training: 10%|█ | 7302/70000 [2:34:10<22:49:02, 1.31s/step] Training: 10%|█ | 7303/70000 [2:34:12<22:29:55, 1.29s/step] Training: 10%|█ | 7304/70000 [2:34:13<22:42:37, 1.30s/step] Training: 10%|█ | 7305/70000 [2:34:14<22:49:08, 1.31s/step] Training: 10%|█ | 7306/70000 [2:34:15<22:11:07, 1.27s/step] Training: 10%|█ | 7307/70000 [2:34:17<21:44:12, 1.25s/step] Training: 10%|█ | 7308/70000 [2:34:18<21:25:44, 1.23s/step] Training: 10%|█ | 7309/70000 [2:34:19<21:54:01, 1.26s/step] Training: 10%|█ | 7310/70000 [2:34:20<22:25:52, 1.29s/step] Training: 10%|█ | 7311/70000 [2:34:22<22:34:28, 1.30s/step] Training: 10%|█ | 7312/70000 [2:34:23<22:45:33, 1.31s/step] Training: 10%|█ | 7313/70000 [2:34:24<22:18:54, 1.28s/step] Training: 10%|█ | 7314/70000 [2:34:26<21:50:36, 1.25s/step] Training: 10%|█ | 7315/70000 [2:34:27<21:31:16, 1.24s/step] Training: 10%|█ | 7316/70000 [2:34:28<21:16:48, 1.22s/step] Training: 10%|█ | 7317/70000 [2:34:29<21:19:44, 1.22s/step] Training: 10%|█ | 7318/70000 [2:34:30<21:23:01, 1.23s/step] Training: 10%|█ | 7319/70000 [2:34:32<21:51:42, 1.26s/step] Training: 10%|█ | 7320/70000 [2:34:33<22:14:11, 1.28s/step] Training: 10%|█ | 7321/70000 [2:34:34<21:51:45, 1.26s/step] Training: 10%|█ | 7322/70000 [2:34:35<21:31:49, 1.24s/step] Training: 10%|█ | 7323/70000 [2:34:37<21:16:55, 1.22s/step] Training: 10%|█ | 7324/70000 [2:34:38<21:24:04, 1.23s/step] Training: 10%|█ | 7325/70000 [2:34:39<21:11:06, 1.22s/step] Training: 10%|█ | 7326/70000 [2:34:41<22:31:13, 1.29s/step] Training: 10%|█ | 7327/70000 [2:34:42<22:45:29, 1.31s/step] Training: 10%|█ | 7328/70000 [2:34:43<22:51:15, 1.31s/step] Training: 10%|█ | 7329/70000 [2:34:44<22:54:24, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=69455 Training: 10%|█ | 7330/70000 [2:34:46<22:18:11, 1.28s/step] Training: 10%|█ | 7331/70000 [2:34:47<21:55:03, 1.26s/step] Training: 10%|█ | 7332/70000 [2:34:48<21:39:27, 1.24s/step] Training: 10%|█ | 7333/70000 [2:34:49<22:06:46, 1.27s/step] Training: 10%|█ | 7334/70000 [2:34:51<22:32:42, 1.30s/step] Training: 10%|█ | 7335/70000 [2:34:52<22:07:44, 1.27s/step] Training: 10%|█ | 7336/70000 [2:34:53<22:25:57, 1.29s/step] Training: 10%|█ | 7337/70000 [2:34:55<22:43:31, 1.31s/step] Training: 10%|█ | 7338/70000 [2:34:56<22:09:02, 1.27s/step] Training: 10%|█ | 7339/70000 [2:34:57<21:42:57, 1.25s/step] Training: 10%|█ | 7340/70000 [2:34:58<22:09:36, 1.27s/step] Training: 10%|█ | 7341/70000 [2:35:00<21:52:33, 1.26s/step] Training: 10%|█ | 7342/70000 [2:35:01<22:00:09, 1.26s/step] Training: 10%|█ | 7343/70000 [2:35:02<22:19:40, 1.28s/step] Training: 10%|█ | 7344/70000 [2:35:04<22:37:13, 1.30s/step] Training: 10%|█ | 7345/70000 [2:35:05<22:13:35, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=5927 Training: 10%|█ | 7346/70000 [2:35:06<21:46:30, 1.25s/step] Training: 10%|█ | 7347/70000 [2:35:07<21:26:22, 1.23s/step] Training: 10%|█ | 7348/70000 [2:35:08<21:57:25, 1.26s/step] Training: 10%|█ | 7349/70000 [2:35:10<21:43:37, 1.25s/step] Training: 10%|█ | 7350/70000 [2:35:11<21:43:15, 1.25s/step] Training: 11%|█ | 7351/70000 [2:35:12<22:10:05, 1.27s/step] Training: 11%|█ | 7352/70000 [2:35:14<22:27:37, 1.29s/step] Training: 11%|█ | 7353/70000 [2:35:15<22:02:57, 1.27s/step] Training: 11%|█ | 7354/70000 [2:35:16<21:40:04, 1.25s/step] Training: 11%|█ | 7355/70000 [2:35:17<21:24:30, 1.23s/step] Training: 11%|█ | 7356/70000 [2:35:18<21:27:30, 1.23s/step] Training: 11%|█ | 7357/70000 [2:35:20<21:13:57, 1.22s/step] Training: 11%|█ | 7358/70000 [2:35:21<22:22:51, 1.29s/step] Training: 11%|█ | 7359/70000 [2:35:23<22:58:52, 1.32s/step] Training: 11%|█ | 7360/70000 [2:35:24<23:11:13, 1.33s/step] Training: 11%|█ | 7361/70000 [2:35:25<23:12:37, 1.33s/step] Training: 11%|█ | 7362/70000 [2:35:26<22:26:46, 1.29s/step] Training: 11%|█ | 7363/70000 [2:35:28<21:55:08, 1.26s/step] Training: 11%|█ | 7364/70000 [2:35:29<21:40:05, 1.25s/step] Training: 11%|█ | 7365/70000 [2:35:30<22:07:02, 1.27s/step] Training: 11%|█ | 7366/70000 [2:35:31<22:32:52, 1.30s/step] Training: 11%|█ | 7367/70000 [2:35:33<22:01:53, 1.27s/step] Training: 11%|█ | 7368/70000 [2:35:34<22:20:37, 1.28s/step] Training: 11%|█ | 7369/70000 [2:35:35<22:35:30, 1.30s/step] Training: 11%|█ | 7370/70000 [2:35:37<22:00:46, 1.27s/step] Training: 11%|█ | 7371/70000 [2:35:38<21:36:54, 1.24s/step] Training: 11%|█ | 7372/70000 [2:35:39<22:02:25, 1.27s/step] Training: 11%|█ | 7373/70000 [2:35:40<21:43:42, 1.25s/step] Training: 11%|█ | 7374/70000 [2:35:41<21:41:36, 1.25s/step] Training: 11%|█ | 7375/70000 [2:35:43<22:10:25, 1.27s/step] Training: 11%|█ | 7376/70000 [2:35:44<22:29:31, 1.29s/step] Training: 11%|█ | 7377/70000 [2:35:45<22:08:21, 1.27s/step] Training: 11%|█ | 7378/70000 [2:35:47<21:41:24, 1.25s/step] Training: 11%|█ | 7379/70000 [2:35:48<21:23:13, 1.23s/step] Training: 11%|█ | 7380/70000 [2:35:49<21:52:58, 1.26s/step] Training: 11%|█ | 7381/70000 [2:35:50<21:48:16, 1.25s/step] Training: 11%|█ | 7382/70000 [2:35:52<21:38:46, 1.24s/step] Training: 11%|█ | 7383/70000 [2:35:53<21:59:49, 1.26s/step] Training: 11%|█ | 7384/70000 [2:35:54<22:17:47, 1.28s/step] Training: 11%|█ | 7385/70000 [2:35:55<21:53:23, 1.26s/step] Training: 11%|█ | 7386/70000 [2:35:57<21:32:27, 1.24s/step] Training: 11%|█ | 7387/70000 [2:35:58<21:17:04, 1.22s/step] Training: 11%|█ | 7388/70000 [2:35:59<21:19:34, 1.23s/step] Training: 11%|█ | 7389/70000 [2:36:00<21:07:47, 1.21s/step] Training: 11%|█ | 7390/70000 [2:36:02<22:18:25, 1.28s/step] Training: 11%|█ | 7391/70000 [2:36:03<22:38:35, 1.30s/step] Training: 11%|█ | 7392/70000 [2:36:04<23:03:48, 1.33s/step] Training: 11%|█ | 7393/70000 [2:36:06<23:06:24, 1.33s/step] Training: 11%|█ | 7394/70000 [2:36:07<22:22:33, 1.29s/step] Training: 11%|█ | 7395/70000 [2:36:08<21:51:04, 1.26s/step] Training: 11%|█ | 7396/70000 [2:36:09<21:39:38, 1.25s/step] Training: 11%|█ | 7397/70000 [2:36:11<22:06:15, 1.27s/step] Training: 11%|█ | 7398/70000 [2:36:12<22:40:16, 1.30s/step] Training: 11%|█ | 7399/70000 [2:36:13<22:11:04, 1.28s/step] Training: 11%|█ | 7400/70000 [2:36:14<21:51:21, 1.26s/step]INFO 2026-03-12 22:46:07 ot_train.py:435 step:7K smpl:474K ep:2K epch:6.27 loss:0.194 grdn:14.394 lr:2.4e-05 updt_s:1.248 data_s:0.019 Training: 11%|█ | 7401/70000 [2:36:16<22:41:32, 1.31s/step] Training: 11%|█ | 7402/70000 [2:36:17<22:04:33, 1.27s/step] Training: 11%|█ | 7403/70000 [2:36:18<21:39:29, 1.25s/step] Training: 11%|█ | 7404/70000 [2:36:20<22:06:16, 1.27s/step] Training: 11%|█ | 7405/70000 [2:36:21<21:45:53, 1.25s/step] Training: 11%|█ | 7406/70000 [2:36:22<22:19:42, 1.28s/step] Training: 11%|█ | 7407/70000 [2:36:23<22:30:13, 1.29s/step] Training: 11%|█ | 7408/70000 [2:36:25<23:06:00, 1.33s/step] Training: 11%|█ | 7409/70000 [2:36:26<22:54:40, 1.32s/step] Training: 11%|█ | 7410/70000 [2:36:27<22:13:55, 1.28s/step] Training: 11%|█ | 7411/70000 [2:36:29<21:46:54, 1.25s/step] Training: 11%|█ | 7412/70000 [2:36:30<22:09:11, 1.27s/step] Training: 11%|█ | 7413/70000 [2:36:31<21:56:40, 1.26s/step] Training: 11%|█ | 7414/70000 [2:36:32<21:54:40, 1.26s/step] Training: 11%|█ | 7415/70000 [2:36:34<22:11:14, 1.28s/step] Training: 11%|█ | 7416/70000 [2:36:35<22:52:12, 1.32s/step] Training: 11%|█ | 7417/70000 [2:36:36<22:20:52, 1.29s/step] Training: 11%|█ | 7418/70000 [2:36:37<21:50:43, 1.26s/step] Training: 11%|█ | 7419/70000 [2:36:39<21:29:23, 1.24s/step] Training: 11%|█ | 7420/70000 [2:36:40<21:20:12, 1.23s/step] Training: 11%|█ | 7421/70000 [2:36:41<21:07:46, 1.22s/step] Training: 11%|█ | 7422/70000 [2:36:42<22:22:32, 1.29s/step] Training: 11%|█ | 7423/70000 [2:36:44<22:34:00, 1.30s/step] Training: 11%|█ | 7424/70000 [2:36:45<22:31:56, 1.30s/step] Training: 11%|█ | 7425/70000 [2:36:47<23:04:00, 1.33s/step] Training: 11%|█ | 7426/70000 [2:36:48<22:20:11, 1.29s/step] Training: 11%|█ | 7427/70000 [2:36:49<21:49:55, 1.26s/step] Training: 11%|█ | 7428/70000 [2:36:50<21:40:39, 1.25s/step] Training: 11%|█ | 7429/70000 [2:36:51<21:22:56, 1.23s/step] Training: 11%|█ | 7430/70000 [2:36:53<22:01:03, 1.27s/step] Training: 11%|█ | 7431/70000 [2:36:54<21:40:56, 1.25s/step] Training: 11%|█ | 7432/70000 [2:36:55<21:30:06, 1.24s/step] Training: 11%|█ | 7433/70000 [2:36:56<21:59:30, 1.27s/step] Training: 11%|█ | 7434/70000 [2:36:58<21:35:46, 1.24s/step] Training: 11%|█ | 7435/70000 [2:36:59<21:18:26, 1.23s/step] Training: 11%|█ | 7436/70000 [2:37:00<21:06:43, 1.21s/step] Training: 11%|█ | 7437/70000 [2:37:01<22:10:42, 1.28s/step] Training: 11%|█ | 7438/70000 [2:37:03<22:06:16, 1.27s/step] Training: 11%|█ | 7439/70000 [2:37:04<22:27:38, 1.29s/step] Training: 11%|█ | 7440/70000 [2:37:05<22:43:31, 1.31s/step] Training: 11%|█ | 7441/70000 [2:37:07<22:36:57, 1.30s/step] Training: 11%|█ | 7442/70000 [2:37:08<22:01:07, 1.27s/step] Training: 11%|█ | 7443/70000 [2:37:09<21:37:17, 1.24s/step] Training: 11%|█ | 7444/70000 [2:37:10<22:04:11, 1.27s/step] Training: 11%|█ | 7445/70000 [2:37:12<22:21:13, 1.29s/step] Training: 11%|█ | 7446/70000 [2:37:13<22:09:56, 1.28s/step] Training: 11%|█ | 7447/70000 [2:37:14<22:22:02, 1.29s/step] Training: 11%|█ | 7448/70000 [2:37:16<22:48:29, 1.31s/step] Training: 11%|█ | 7449/70000 [2:37:17<22:18:08, 1.28s/step] Training: 11%|█ | 7450/70000 [2:37:18<21:49:09, 1.26s/step] Training: 11%|█ | 7451/70000 [2:37:19<21:27:44, 1.24s/step] Training: 11%|█ | 7452/70000 [2:37:20<21:17:33, 1.23s/step] Training: 11%|█ | 7453/70000 [2:37:22<21:10:04, 1.22s/step] Training: 11%|█ | 7454/70000 [2:37:23<21:58:00, 1.26s/step] Training: 11%|█ | 7455/70000 [2:37:24<22:16:27, 1.28s/step] Training: 11%|█ | 7456/70000 [2:37:26<22:05:20, 1.27s/step] Training: 11%|█ | 7457/70000 [2:37:27<22:21:35, 1.29s/step] Training: 11%|█ | 7458/70000 [2:37:28<21:52:36, 1.26s/step] Training: 11%|█ | 7459/70000 [2:37:29<21:37:43, 1.25s/step] Training: 11%|█ | 7460/70000 [2:37:30<21:29:32, 1.24s/step] Training: 11%|█ | 7461/70000 [2:37:32<21:56:45, 1.26s/step] Training: 11%|█ | 7462/70000 [2:37:33<22:29:51, 1.30s/step] Training: 11%|█ | 7463/70000 [2:37:34<21:57:16, 1.26s/step] Training: 11%|█ | 7464/70000 [2:37:36<22:19:58, 1.29s/step] Training: 11%|█ | 7465/70000 [2:37:37<22:47:58, 1.31s/step] Training: 11%|█ | 7466/70000 [2:37:38<22:08:53, 1.28s/step] Training: 11%|█ | 7467/70000 [2:37:39<21:41:41, 1.25s/step] Training: 11%|█ | 7468/70000 [2:37:41<21:22:50, 1.23s/step] Training: 11%|█ | 7469/70000 [2:37:42<22:36:22, 1.30s/step] Training: 11%|█ | 7470/70000 [2:37:43<22:19:08, 1.28s/step] Training: 11%|█ | 7471/70000 [2:37:45<22:30:37, 1.30s/step] Training: 11%|█ | 7472/70000 [2:37:46<22:41:20, 1.31s/step] Training: 11%|█ | 7473/70000 [2:37:47<22:17:49, 1.28s/step] Training: 11%|█ | 7474/70000 [2:37:48<21:47:45, 1.25s/step] Training: 11%|█ | 7475/70000 [2:37:50<21:26:33, 1.23s/step] Training: 11%|█ | 7476/70000 [2:37:51<21:54:02, 1.26s/step] Training: 11%|█ | 7477/70000 [2:37:52<22:14:58, 1.28s/step] Training: 11%|█ | 7478/70000 [2:37:54<22:05:34, 1.27s/step] Training: 11%|█ | 7479/70000 [2:37:55<22:21:20, 1.29s/step] Training: 11%|█ | 7480/70000 [2:37:56<22:54:44, 1.32s/step] Training: 11%|█ | 7481/70000 [2:37:58<23:02:14, 1.33s/step] Training: 11%|█ | 7482/70000 [2:37:59<22:18:32, 1.28s/step] Training: 11%|█ | 7483/70000 [2:38:00<21:48:41, 1.26s/step] Training: 11%|█ | 7484/70000 [2:38:01<21:31:38, 1.24s/step] Training: 11%|█ | 7485/70000 [2:38:02<21:20:16, 1.23s/step] Training: 11%|█ | 7486/70000 [2:38:04<21:59:00, 1.27s/step] Training: 11%|█ | 7487/70000 [2:38:05<22:15:22, 1.28s/step] Training: 11%|█ | 7488/70000 [2:38:06<22:03:59, 1.27s/step] Training: 11%|█ | 7489/70000 [2:38:08<22:25:09, 1.29s/step] Training: 11%|█ | 7490/70000 [2:38:09<21:53:30, 1.26s/step] Training: 11%|█ | 7491/70000 [2:38:10<21:31:37, 1.24s/step] Training: 11%|█ | 7492/70000 [2:38:11<21:26:59, 1.24s/step] Training: 11%|█ | 7493/70000 [2:38:13<21:57:13, 1.26s/step] Training: 11%|█ | 7494/70000 [2:38:14<22:27:38, 1.29s/step] Training: 11%|█ | 7495/70000 [2:38:15<21:59:43, 1.27s/step] Training: 11%|█ | 7496/70000 [2:38:16<22:20:31, 1.29s/step] Training: 11%|█ | 7497/70000 [2:38:18<22:44:12, 1.31s/step] Training: 11%|█ | 7498/70000 [2:38:19<22:06:31, 1.27s/step] Training: 11%|█ | 7499/70000 [2:38:20<21:42:38, 1.25s/step] Training: 11%|█ | 7500/70000 [2:38:21<21:22:40, 1.23s/step]INFO 2026-03-12 22:48:14 ot_train.py:435 step:8K smpl:480K ep:2K epch:6.36 loss:0.204 grdn:15.040 lr:2.4e-05 updt_s:1.248 data_s:0.019 Training: 11%|█ | 7501/70000 [2:38:23<22:35:42, 1.30s/step] Training: 11%|█ | 7502/70000 [2:38:24<22:55:45, 1.32s/step] Training: 11%|█ | 7503/70000 [2:38:26<22:55:47, 1.32s/step] Training: 11%|█ | 7504/70000 [2:38:27<23:00:18, 1.33s/step] Training: 11%|█ | 7505/70000 [2:38:28<22:38:23, 1.30s/step] Training: 11%|█ | 7506/70000 [2:38:29<22:03:30, 1.27s/step] Training: 11%|█ | 7507/70000 [2:38:30<21:39:01, 1.25s/step] Training: 11%|█ | 7508/70000 [2:38:32<22:07:00, 1.27s/step] Training: 11%|█ | 7509/70000 [2:38:33<22:25:58, 1.29s/step] Training: 11%|█ | 7510/70000 [2:38:34<22:07:49, 1.27s/step] Training: 11%|█ | 7511/70000 [2:38:36<22:20:19, 1.29s/step] Training: 11%|█ | 7512/70000 [2:38:37<22:45:17, 1.31s/step] Training: 11%|█ | 7513/70000 [2:38:38<22:50:30, 1.32s/step] Training: 11%|█ | 7514/70000 [2:38:40<22:13:43, 1.28s/step] Training: 11%|█ | 7515/70000 [2:38:41<21:43:52, 1.25s/step] Training: 11%|█ | 7516/70000 [2:38:42<21:29:46, 1.24s/step] Training: 11%|█ | 7517/70000 [2:38:43<21:19:32, 1.23s/step] Training: 11%|█ | 7518/70000 [2:38:45<22:01:31, 1.27s/step] Training: 11%|█ | 7519/70000 [2:38:46<22:16:30, 1.28s/step] Training: 11%|█ | 7520/70000 [2:38:47<22:09:27, 1.28s/step] Training: 11%|█ | 7521/70000 [2:38:48<22:23:59, 1.29s/step] Training: 11%|█ | 7522/70000 [2:38:50<21:52:32, 1.26s/step] Training: 11%|█ | 7523/70000 [2:38:51<21:30:49, 1.24s/step] Training: 11%|█ | 7524/70000 [2:38:52<21:26:51, 1.24s/step] Training: 11%|█ | 7525/70000 [2:38:53<21:55:57, 1.26s/step] Training: 11%|█ | 7526/70000 [2:38:55<22:24:45, 1.29s/step] Training: 11%|█ | 7527/70000 [2:38:56<21:54:40, 1.26s/step] Training: 11%|█ | 7528/70000 [2:38:57<21:41:19, 1.25s/step] Training: 11%|█ | 7529/70000 [2:38:59<22:31:59, 1.30s/step] Training: 11%|█ | 7530/70000 [2:39:00<22:00:13, 1.27s/step] Training: 11%|█ | 7531/70000 [2:39:01<21:33:39, 1.24s/step] Training: 11%|█ | 7532/70000 [2:39:02<21:16:15, 1.23s/step] Training: 11%|█ | 7533/70000 [2:39:04<22:32:44, 1.30s/step] Training: 11%|█ | 7534/70000 [2:39:05<22:16:57, 1.28s/step] Training: 11%|█ | 7535/70000 [2:39:06<22:30:22, 1.30s/step] Training: 11%|█ | 7536/70000 [2:39:08<22:38:41, 1.31s/step] Training: 11%|█ | 7537/70000 [2:39:09<22:21:58, 1.29s/step] Training: 11%|█ | 7538/70000 [2:39:10<21:51:30, 1.26s/step] Training: 11%|█ | 7539/70000 [2:39:11<21:30:07, 1.24s/step] Training: 11%|█ | 7540/70000 [2:39:12<21:58:41, 1.27s/step] Training: 11%|█ | 7541/70000 [2:39:14<22:16:45, 1.28s/step] Training: 11%|█ | 7542/70000 [2:39:15<22:03:30, 1.27s/step] Training: 11%|█ | 7543/70000 [2:39:16<22:15:38, 1.28s/step] Training: 11%|█ | 7544/70000 [2:39:18<22:00:55, 1.27s/step] Training: 11%|█ | 7545/70000 [2:39:19<22:57:52, 1.32s/step] Training: 11%|█ | 7546/70000 [2:39:20<22:16:27, 1.28s/step] Training: 11%|█ | 7547/70000 [2:39:21<21:45:53, 1.25s/step] Training: 11%|█ | 7548/70000 [2:39:23<21:32:25, 1.24s/step] Training: 11%|█ | 7549/70000 [2:39:24<21:21:34, 1.23s/step] Training: 11%|█ | 7550/70000 [2:39:25<21:59:20, 1.27s/step] Training: 11%|█ | 7551/70000 [2:39:27<22:14:45, 1.28s/step] Training: 11%|█ | 7552/70000 [2:39:28<21:55:47, 1.26s/step] Training: 11%|█ | 7553/70000 [2:39:29<22:43:15, 1.31s/step] Training: 11%|█ | 7554/70000 [2:39:30<22:05:25, 1.27s/step] Training: 11%|█ | 7555/70000 [2:39:32<21:40:03, 1.25s/step] Training: 11%|█ | 7556/70000 [2:39:33<21:30:47, 1.24s/step] Training: 11%|█ | 7557/70000 [2:39:34<22:00:16, 1.27s/step] Training: 11%|█ | 7558/70000 [2:39:35<22:27:57, 1.30s/step] Training: 11%|█ | 7559/70000 [2:39:37<21:56:08, 1.26s/step] Training: 11%|█ | 7560/70000 [2:39:38<22:15:01, 1.28s/step] Training: 11%|█ | 7561/70000 [2:39:39<22:41:15, 1.31s/step] Training: 11%|█ | 7562/70000 [2:39:41<22:04:59, 1.27s/step] Training: 11%|█ | 7563/70000 [2:39:42<21:40:32, 1.25s/step] Training: 11%|█ | 7564/70000 [2:39:43<21:19:14, 1.23s/step] Training: 11%|█ | 7565/70000 [2:39:44<22:32:23, 1.30s/step] Training: 11%|█ | 7566/70000 [2:39:46<22:16:21, 1.28s/step] Training: 11%|█ | 7567/70000 [2:39:47<22:32:16, 1.30s/step] Training: 11%|█ | 7568/70000 [2:39:48<22:44:13, 1.31s/step] Training: 11%|█ | 7569/70000 [2:39:50<22:32:42, 1.30s/step] Training: 11%|█ | 7570/70000 [2:39:51<21:59:41, 1.27s/step] Training: 11%|█ | 7571/70000 [2:39:52<21:34:36, 1.24s/step] Training: 11%|█ | 7572/70000 [2:39:53<21:17:42, 1.23s/step] Training: 11%|█ | 7573/70000 [2:39:54<21:46:06, 1.26s/step] Training: 11%|█ | 7574/70000 [2:39:56<21:26:21, 1.24s/step] Training: 11%|█ | 7575/70000 [2:39:57<22:31:52, 1.30s/step] Training: 11%|█ | 7576/70000 [2:39:58<22:00:50, 1.27s/step] Training: 11%|█ | 7577/70000 [2:40:00<22:31:55, 1.30s/step] Training: 11%|█ | 7578/70000 [2:40:01<21:58:12, 1.27s/step] Training: 11%|█ | 7579/70000 [2:40:02<21:38:14, 1.25s/step] Training: 11%|█ | 7580/70000 [2:40:03<21:30:35, 1.24s/step] Training: 11%|█ | 7581/70000 [2:40:04<21:18:36, 1.23s/step] Training: 11%|█ | 7582/70000 [2:40:06<21:07:18, 1.22s/step] Training: 11%|█ | 7583/70000 [2:40:07<22:21:56, 1.29s/step] Training: 11%|█ | 7584/70000 [2:40:08<22:04:38, 1.27s/step] Training: 11%|█ | 7585/70000 [2:40:10<22:30:31, 1.30s/step] Training: 11%|█ | 7586/70000 [2:40:11<21:56:50, 1.27s/step] Training: 11%|█ | 7587/70000 [2:40:12<21:33:57, 1.24s/step] Training: 11%|█ | 7588/70000 [2:40:13<21:24:04, 1.23s/step] Training: 11%|█ | 7589/70000 [2:40:15<21:56:07, 1.27s/step] Training: 11%|█ | 7590/70000 [2:40:16<21:32:13, 1.24s/step] Training: 11%|█ | 7591/70000 [2:40:17<21:37:26, 1.25s/step] Training: 11%|█ | 7592/70000 [2:40:18<21:18:53, 1.23s/step] Training: 11%|█ | 7593/70000 [2:40:20<22:25:50, 1.29s/step] Training: 11%|█ | 7594/70000 [2:40:21<21:53:05, 1.26s/step] Training: 11%|█ | 7595/70000 [2:40:22<21:28:46, 1.24s/step] Training: 11%|█ | 7596/70000 [2:40:23<21:55:24, 1.26s/step] Training: 11%|█ | 7597/70000 [2:40:25<22:13:17, 1.28s/step] Training: 11%|█ | 7598/70000 [2:40:26<21:44:12, 1.25s/step] Training: 11%|█ | 7599/70000 [2:40:27<22:07:43, 1.28s/step] Training: 11%|█ | 7600/70000 [2:40:28<21:40:26, 1.25s/step]INFO 2026-03-12 22:50:21 ot_train.py:435 step:8K smpl:486K ep:2K epch:6.44 loss:0.191 grdn:14.365 lr:2.4e-05 updt_s:1.250 data_s:0.019 Training: 11%|█ | 7601/70000 [2:40:30<22:18:37, 1.29s/step] Training: 11%|█ | 7602/70000 [2:40:31<21:47:18, 1.26s/step] Training: 11%|█ | 7603/70000 [2:40:32<21:25:13, 1.24s/step] Training: 11%|█ | 7604/70000 [2:40:34<21:56:23, 1.27s/step] Training: 11%|█ | 7605/70000 [2:40:35<22:13:18, 1.28s/step] Training: 11%|█ | 7606/70000 [2:40:36<21:43:18, 1.25s/step] Training: 11%|█ | 7607/70000 [2:40:37<22:13:45, 1.28s/step] Training: 11%|█ | 7608/70000 [2:40:39<21:56:51, 1.27s/step] Training: 11%|█ | 7609/70000 [2:40:40<22:27:24, 1.30s/step] Training: 11%|█ | 7610/70000 [2:40:41<21:54:34, 1.26s/step] Training: 11%|█ | 7611/70000 [2:40:42<21:31:16, 1.24s/step] Training: 11%|█ | 7612/70000 [2:40:44<21:31:19, 1.24s/step] Training: 11%|█ | 7613/70000 [2:40:45<21:24:46, 1.24s/step] Training: 11%|█ | 7614/70000 [2:40:46<21:11:11, 1.22s/step] Training: 11%|█ | 7615/70000 [2:40:47<21:51:40, 1.26s/step] Training: 11%|█ | 7616/70000 [2:40:49<21:33:52, 1.24s/step] Training: 11%|█ | 7617/70000 [2:40:50<22:06:14, 1.28s/step] Training: 11%|█ | 7618/70000 [2:40:51<21:39:34, 1.25s/step] Training: 11%|█ | 7619/70000 [2:40:52<21:22:11, 1.23s/step] Training: 11%|█ | 7620/70000 [2:40:54<21:14:46, 1.23s/step] Training: 11%|█ | 7621/70000 [2:40:55<21:47:33, 1.26s/step] Training: 11%|█ | 7622/70000 [2:40:56<21:25:47, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=29153 Training: 11%|█ | 7623/70000 [2:40:57<21:38:26, 1.25s/step] Training: 11%|█ | 7624/70000 [2:40:59<22:03:53, 1.27s/step] Training: 11%|█ | 7625/70000 [2:41:00<22:37:57, 1.31s/step] Training: 11%|█ | 7626/70000 [2:41:01<22:01:59, 1.27s/step] Training: 11%|█ | 7627/70000 [2:41:02<21:37:14, 1.25s/step] Training: 11%|█ | 7628/70000 [2:41:04<22:02:00, 1.27s/step] Training: 11%|█ | 7629/70000 [2:41:05<22:22:54, 1.29s/step] Training: 11%|█ | 7630/70000 [2:41:06<21:50:39, 1.26s/step] Training: 11%|█ | 7631/70000 [2:41:08<22:13:04, 1.28s/step] Training: 11%|█ | 7632/70000 [2:41:09<21:43:55, 1.25s/step] Training: 11%|█ | 7633/70000 [2:41:10<22:35:09, 1.30s/step] Training: 11%|█ | 7634/70000 [2:41:11<21:58:56, 1.27s/step] Training: 11%|█ | 7635/70000 [2:41:13<21:33:13, 1.24s/step] Training: 11%|█ | 7636/70000 [2:41:14<21:57:45, 1.27s/step] Training: 11%|█ | 7637/70000 [2:41:15<21:43:04, 1.25s/step] Training: 11%|█ | 7638/70000 [2:41:16<21:22:43, 1.23s/step] Training: 11%|█ | 7639/70000 [2:41:18<22:00:19, 1.27s/step] Training: 11%|█ | 7640/70000 [2:41:19<21:31:38, 1.24s/step] Training: 11%|█ | 7641/70000 [2:41:20<22:24:33, 1.29s/step] Training: 11%|█ | 7642/70000 [2:41:21<21:52:20, 1.26s/step] Training: 11%|█ | 7643/70000 [2:41:23<21:28:03, 1.24s/step] Training: 11%|█ | 7644/70000 [2:41:24<21:25:21, 1.24s/step] Training: 11%|█ | 7645/70000 [2:41:25<21:16:23, 1.23s/step] Training: 11%|█ | 7646/70000 [2:41:26<21:03:48, 1.22s/step] Training: 11%|█ | 7647/70000 [2:41:28<21:49:01, 1.26s/step] Training: 11%|█ | 7648/70000 [2:41:29<21:25:18, 1.24s/step] Training: 11%|█ | 7649/70000 [2:41:30<21:53:02, 1.26s/step] Training: 11%|█ | 7650/70000 [2:41:31<21:29:07, 1.24s/step] Training: 11%|█ | 7651/70000 [2:41:33<21:12:53, 1.22s/step] Training: 11%|█ | 7652/70000 [2:41:34<21:05:48, 1.22s/step] Training: 11%|█ | 7653/70000 [2:41:35<21:40:00, 1.25s/step] Training: 11%|█ | 7654/70000 [2:41:36<21:21:11, 1.23s/step] Training: 11%|█ | 7655/70000 [2:41:38<21:35:43, 1.25s/step] Training: 11%|█ | 7656/70000 [2:41:39<21:17:53, 1.23s/step] Training: 11%|█ | 7657/70000 [2:41:40<22:15:17, 1.29s/step] Training: 11%|█ | 7658/70000 [2:41:41<21:45:13, 1.26s/step] Training: 11%|█ | 7659/70000 [2:41:43<21:24:27, 1.24s/step] Training: 11%|█ | 7660/70000 [2:41:44<21:57:15, 1.27s/step] Training: 11%|█ | 7661/70000 [2:41:45<22:15:24, 1.29s/step] Training: 11%|█ | 7662/70000 [2:41:46<21:45:42, 1.26s/step] Training: 11%|█ | 7663/70000 [2:41:48<22:08:17, 1.28s/step] Training: 11%|█ | 7664/70000 [2:41:49<21:41:16, 1.25s/step] Training: 11%|█ | 7665/70000 [2:41:50<22:14:54, 1.28s/step] Training: 11%|█ | 7666/70000 [2:41:51<21:45:50, 1.26s/step] Training: 11%|█ | 7667/70000 [2:41:53<21:24:12, 1.24s/step] Training: 11%|█ | 7668/70000 [2:41:54<21:55:37, 1.27s/step] Training: 11%|█ | 7669/70000 [2:41:55<21:46:46, 1.26s/step] Training: 11%|█ | 7670/70000 [2:41:56<21:25:08, 1.24s/step] Training: 11%|█ | 7671/70000 [2:41:58<22:05:18, 1.28s/step] Training: 11%|█ | 7672/70000 [2:41:59<21:35:24, 1.25s/step] Training: 11%|█ | 7673/70000 [2:42:00<22:14:59, 1.29s/step] Training: 11%|█ | 7674/70000 [2:42:02<21:44:46, 1.26s/step] Training: 11%|█ | 7675/70000 [2:42:03<21:25:38, 1.24s/step] Training: 11%|█ | 7676/70000 [2:42:04<21:23:12, 1.24s/step] Training: 11%|█ | 7677/70000 [2:42:05<21:16:51, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=62683 Training: 11%|█ | 7678/70000 [2:42:06<21:04:07, 1.22s/step] Training: 11%|█ | 7679/70000 [2:42:08<21:51:13, 1.26s/step] Training: 11%|█ | 7680/70000 [2:42:09<21:25:09, 1.24s/step] Training: 11%|█ | 7681/70000 [2:42:10<21:59:09, 1.27s/step] Training: 11%|█ | 7682/70000 [2:42:11<21:35:05, 1.25s/step] Training: 11%|█ | 7683/70000 [2:42:13<21:16:05, 1.23s/step] Training: 11%|█ | 7684/70000 [2:42:14<21:13:03, 1.23s/step] Training: 11%|█ | 7685/70000 [2:42:15<21:44:01, 1.26s/step] Training: 11%|█ | 7686/70000 [2:42:16<21:23:40, 1.24s/step] Training: 11%|█ | 7687/70000 [2:42:18<22:01:34, 1.27s/step] Training: 11%|█ | 7688/70000 [2:42:19<21:32:14, 1.24s/step] Training: 11%|█ | 7689/70000 [2:42:20<22:11:17, 1.28s/step] Training: 11%|█ | 7690/70000 [2:42:21<21:45:46, 1.26s/step] Training: 11%|█ | 7691/70000 [2:42:23<21:26:13, 1.24s/step] Training: 11%|█ | 7692/70000 [2:42:24<21:53:17, 1.26s/step] Training: 11%|█ | 7693/70000 [2:42:25<21:32:07, 1.24s/step] Training: 11%|█ | 7694/70000 [2:42:26<21:53:56, 1.27s/step] Training: 11%|█ | 7695/70000 [2:42:28<22:11:23, 1.28s/step] Training: 11%|█ | 7696/70000 [2:42:29<21:44:35, 1.26s/step] Training: 11%|█ | 7697/70000 [2:42:30<22:20:37, 1.29s/step] Training: 11%|█ | 7698/70000 [2:42:32<21:49:06, 1.26s/step] Training: 11%|█ | 7699/70000 [2:42:33<21:27:53, 1.24s/step] Training: 11%|█ | 7700/70000 [2:42:34<22:01:13, 1.27s/step]INFO 2026-03-12 22:52:26 ot_train.py:435 step:8K smpl:493K ep:2K epch:6.53 loss:0.209 grdn:18.225 lr:2.4e-05 updt_s:1.235 data_s:0.019 Training: 11%|█ | 7701/70000 [2:42:35<21:38:08, 1.25s/step] Training: 11%|█ | 7702/70000 [2:42:37<21:54:21, 1.27s/step] Training: 11%|█ | 7703/70000 [2:42:38<22:28:07, 1.30s/step] Training: 11%|█ | 7704/70000 [2:42:39<21:54:42, 1.27s/step] Training: 11%|█ | 7705/70000 [2:42:41<22:21:44, 1.29s/step] Training: 11%|█ | 7706/70000 [2:42:42<21:49:28, 1.26s/step] Training: 11%|█ | 7707/70000 [2:42:43<21:28:11, 1.24s/step] Training: 11%|█ | 7708/70000 [2:42:44<21:27:26, 1.24s/step] Training: 11%|█ | 7709/70000 [2:42:45<21:11:37, 1.22s/step] Training: 11%|█ | 7710/70000 [2:42:47<21:02:43, 1.22s/step] Training: 11%|█ | 7711/70000 [2:42:48<21:49:54, 1.26s/step] Training: 11%|█ | 7712/70000 [2:42:49<21:26:10, 1.24s/step] Training: 11%|█ | 7713/70000 [2:42:50<21:55:31, 1.27s/step] Training: 11%|█ | 7714/70000 [2:42:52<21:32:07, 1.24s/step] Training: 11%|█ | 7715/70000 [2:42:53<21:13:51, 1.23s/step] Training: 11%|█ | 7716/70000 [2:42:54<21:10:23, 1.22s/step] Training: 11%|█ | 7717/70000 [2:42:55<21:00:21, 1.21s/step] Training: 11%|█ | 7718/70000 [2:42:56<21:27:15, 1.24s/step] Training: 11%|█ | 7719/70000 [2:42:58<21:27:01, 1.24s/step] Training: 11%|█ | 7720/70000 [2:42:59<21:11:52, 1.23s/step] Training: 11%|█ | 7721/70000 [2:43:00<21:56:26, 1.27s/step] Training: 11%|█ | 7722/70000 [2:43:01<21:32:07, 1.24s/step] Training: 11%|█ | 7723/70000 [2:43:03<21:16:44, 1.23s/step] Training: 11%|█ | 7724/70000 [2:43:04<21:46:43, 1.26s/step] Training: 11%|█ | 7725/70000 [2:43:05<21:27:14, 1.24s/step] Training: 11%|█ | 7726/70000 [2:43:07<21:59:07, 1.27s/step] Training: 11%|█ | 7727/70000 [2:43:08<22:17:30, 1.29s/step] Training: 11%|█ | 7728/70000 [2:43:09<22:32:29, 1.30s/step] Training: 11%|█ | 7729/70000 [2:43:11<22:53:03, 1.32s/step] Training: 11%|█ | 7730/70000 [2:43:12<22:11:25, 1.28s/step] Training: 11%|█ | 7731/70000 [2:43:13<21:42:56, 1.26s/step] Training: 11%|█ | 7732/70000 [2:43:14<22:12:14, 1.28s/step] Training: 11%|█ | 7733/70000 [2:43:16<21:43:21, 1.26s/step] Training: 11%|█ | 7734/70000 [2:43:17<21:29:26, 1.24s/step] Training: 11%|█ | 7735/70000 [2:43:18<21:55:21, 1.27s/step] Training: 11%|█ | 7736/70000 [2:43:19<22:17:09, 1.29s/step] Training: 11%|█ | 7737/70000 [2:43:21<22:38:38, 1.31s/step] Training: 11%|█ | 7738/70000 [2:43:22<22:02:06, 1.27s/step] Training: 11%|█ | 7739/70000 [2:43:23<21:36:12, 1.25s/step] Training: 11%|█ | 7740/70000 [2:43:24<21:39:10, 1.25s/step] Training: 11%|█ | 7741/70000 [2:43:26<21:18:49, 1.23s/step] Training: 11%|█ | 7742/70000 [2:43:27<21:54:11, 1.27s/step] Training: 11%|█ | 7743/70000 [2:43:28<22:23:00, 1.29s/step] Training: 11%|█ | 7744/70000 [2:43:29<21:48:41, 1.26s/step] Training: 11%|█ | 7745/70000 [2:43:31<22:10:54, 1.28s/step] Training: 11%|█ | 7746/70000 [2:43:32<21:42:03, 1.25s/step] Training: 11%|█ | 7747/70000 [2:43:33<21:22:06, 1.24s/step] Training: 11%|█ | 7748/70000 [2:43:34<21:12:52, 1.23s/step] Training: 11%|█ | 7749/70000 [2:43:36<21:01:33, 1.22s/step] Training: 11%|█ | 7750/70000 [2:43:37<21:40:07, 1.25s/step] Training: 11%|█ | 7751/70000 [2:43:38<22:09:02, 1.28s/step] Training: 11%|█ | 7752/70000 [2:43:39<21:41:08, 1.25s/step] Training: 11%|█ | 7753/70000 [2:43:41<22:21:02, 1.29s/step] Training: 11%|█ | 7754/70000 [2:43:42<22:27:40, 1.30s/step] Training: 11%|█ | 7755/70000 [2:43:43<21:55:19, 1.27s/step] Training: 11%|█ | 7756/70000 [2:43:45<22:15:32, 1.29s/step] Training: 11%|█ | 7757/70000 [2:43:46<21:46:20, 1.26s/step] Training: 11%|█ | 7758/70000 [2:43:47<22:13:10, 1.29s/step] Training: 11%|█ | 7759/70000 [2:43:49<22:37:18, 1.31s/step] Training: 11%|█ | 7760/70000 [2:43:50<22:00:07, 1.27s/step] Training: 11%|█ | 7761/70000 [2:43:51<22:17:32, 1.29s/step] Training: 11%|█ | 7762/70000 [2:43:52<22:20:54, 1.29s/step] Training: 11%|█ | 7763/70000 [2:43:54<21:50:00, 1.26s/step] Training: 11%|█ | 7764/70000 [2:43:55<22:13:38, 1.29s/step] Training: 11%|█ | 7765/70000 [2:43:56<21:45:07, 1.26s/step] Training: 11%|█ | 7766/70000 [2:43:57<21:36:47, 1.25s/step] Training: 11%|█ | 7767/70000 [2:43:59<21:58:10, 1.27s/step] Training: 11%|█ | 7768/70000 [2:44:00<21:32:35, 1.25s/step] Training: 11%|█ | 7769/70000 [2:44:01<22:05:47, 1.28s/step] Training: 11%|█ | 7770/70000 [2:44:02<21:39:39, 1.25s/step] Training: 11%|█ | 7771/70000 [2:44:04<21:18:36, 1.23s/step] Training: 11%|█ | 7772/70000 [2:44:05<21:18:31, 1.23s/step] Training: 11%|█ | 7773/70000 [2:44:06<21:03:29, 1.22s/step] Training: 11%|█ | 7774/70000 [2:44:07<21:38:26, 1.25s/step] Training: 11%|█ | 7775/70000 [2:44:09<22:09:47, 1.28s/step] Training: 11%|█ | 7776/70000 [2:44:10<21:37:56, 1.25s/step] Training: 11%|█ | 7777/70000 [2:44:11<22:02:51, 1.28s/step] Training: 11%|█ | 7778/70000 [2:44:12<22:09:23, 1.28s/step] Training: 11%|█ | 7779/70000 [2:44:14<21:39:54, 1.25s/step] Training: 11%|█ | 7780/70000 [2:44:15<21:30:53, 1.24s/step] Training: 11%|█ | 7781/70000 [2:44:16<21:15:03, 1.23s/step] Training: 11%|█ | 7782/70000 [2:44:17<21:45:49, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29395 Training: 11%|█ | 7783/70000 [2:44:19<22:18:13, 1.29s/step] Training: 11%|█ | 7784/70000 [2:44:20<21:46:25, 1.26s/step] Training: 11%|█ | 7785/70000 [2:44:21<22:19:34, 1.29s/step] Training: 11%|█ | 7786/70000 [2:44:23<22:33:49, 1.31s/step] Training: 11%|█ | 7787/70000 [2:44:24<21:56:48, 1.27s/step] Training: 11%|█ | 7788/70000 [2:44:25<22:17:47, 1.29s/step] Training: 11%|█ | 7789/70000 [2:44:26<21:47:01, 1.26s/step] Training: 11%|█ | 7790/70000 [2:44:28<22:09:25, 1.28s/step] Training: 11%|█ | 7791/70000 [2:44:29<22:30:49, 1.30s/step] Training: 11%|█ | 7792/70000 [2:44:30<21:52:02, 1.27s/step] Training: 11%|█ | 7793/70000 [2:44:32<22:13:22, 1.29s/step] Training: 11%|█ | 7794/70000 [2:44:33<21:46:28, 1.26s/step] Training: 11%|█ | 7795/70000 [2:44:34<21:25:39, 1.24s/step] Training: 11%|█ | 7796/70000 [2:44:35<21:53:00, 1.27s/step] Training: 11%|█ | 7797/70000 [2:44:37<21:31:07, 1.25s/step] Training: 11%|█ | 7798/70000 [2:44:38<21:18:00, 1.23s/step] Training: 11%|█ | 7799/70000 [2:44:39<21:50:01, 1.26s/step] Training: 11%|█ | 7800/70000 [2:44:40<21:27:45, 1.24s/step]INFO 2026-03-12 22:54:32 ot_train.py:435 step:8K smpl:499K ep:2K epch:6.61 loss:0.197 grdn:14.761 lr:2.4e-05 updt_s:1.241 data_s:0.018 Training: 11%|█ | 7801/70000 [2:44:42<22:05:10, 1.28s/step] Training: 11%|█ | 7802/70000 [2:44:43<22:19:13, 1.29s/step] Training: 11%|█ | 7803/70000 [2:44:44<21:46:42, 1.26s/step] Training: 11%|█ | 7804/70000 [2:44:45<21:40:07, 1.25s/step] Training: 11%|█ | 7805/70000 [2:44:47<21:19:47, 1.23s/step] Training: 11%|█ | 7806/70000 [2:44:48<21:47:30, 1.26s/step] Training: 11%|█ | 7807/70000 [2:44:49<22:19:11, 1.29s/step] Training: 11%|█ | 7808/70000 [2:44:50<21:44:20, 1.26s/step] Training: 11%|█ | 7809/70000 [2:44:52<22:04:48, 1.28s/step] Training: 11%|█ | 7810/70000 [2:44:53<22:19:05, 1.29s/step] Training: 11%|█ | 7811/70000 [2:44:54<21:46:03, 1.26s/step] Training: 11%|█ | 7812/70000 [2:44:55<21:30:52, 1.25s/step] Training: 11%|█ | 7813/70000 [2:44:57<21:14:02, 1.23s/step] Training: 11%|█ | 7814/70000 [2:44:58<21:44:16, 1.26s/step] Training: 11%|█ | 7815/70000 [2:44:59<22:14:45, 1.29s/step] Training: 11%|█ | 7816/70000 [2:45:01<21:40:35, 1.25s/step] Training: 11%|█ | 7817/70000 [2:45:02<22:16:15, 1.29s/step] Training: 11%|█ | 7818/70000 [2:45:03<22:25:46, 1.30s/step] Training: 11%|█ | 7819/70000 [2:45:04<21:52:44, 1.27s/step] Training: 11%|█ | 7820/70000 [2:45:06<21:29:16, 1.24s/step] Training: 11%|█ | 7821/70000 [2:45:07<21:56:00, 1.27s/step] Training: 11%|█ | 7822/70000 [2:45:08<22:14:39, 1.29s/step] Training: 11%|█ | 7823/70000 [2:45:10<22:33:32, 1.31s/step] Training: 11%|█ | 7824/70000 [2:45:11<21:53:30, 1.27s/step] Training: 11%|█ | 7825/70000 [2:45:12<22:14:34, 1.29s/step] Training: 11%|█ | 7826/70000 [2:45:13<22:10:24, 1.28s/step] Training: 11%|█ | 7827/70000 [2:45:15<21:41:38, 1.26s/step] Training: 11%|█ | 7828/70000 [2:45:16<21:19:38, 1.23s/step] Training: 11%|█ | 7829/70000 [2:45:17<21:28:15, 1.24s/step] Training: 11%|█ | 7830/70000 [2:45:18<21:18:01, 1.23s/step] Training: 11%|█ | 7831/70000 [2:45:20<21:46:46, 1.26s/step] Training: 11%|█ | 7832/70000 [2:45:21<21:24:13, 1.24s/step] Training: 11%|█ | 7833/70000 [2:45:22<22:10:33, 1.28s/step] Training: 11%|█ | 7834/70000 [2:45:23<21:40:56, 1.26s/step] Training: 11%|█ | 7835/70000 [2:45:25<21:19:35, 1.24s/step] Training: 11%|█ | 7836/70000 [2:45:26<21:07:19, 1.22s/step] Training: 11%|█ | 7837/70000 [2:45:27<21:04:50, 1.22s/step] Training: 11%|█ | 7838/70000 [2:45:28<21:37:06, 1.25s/step] Training: 11%|█ | 7839/70000 [2:45:30<22:12:20, 1.29s/step] Training: 11%|█ | 7840/70000 [2:45:31<21:39:16, 1.25s/step] Training: 11%|█ | 7841/70000 [2:45:32<22:01:42, 1.28s/step] Training: 11%|█ | 7842/70000 [2:45:33<21:36:03, 1.25s/step] Training: 11%|█ | 7843/70000 [2:45:34<21:15:41, 1.23s/step] Training: 11%|█ | 7844/70000 [2:45:36<21:02:17, 1.22s/step] Training: 11%|█ | 7845/70000 [2:45:37<21:37:54, 1.25s/step] Training: 11%|█ | 7846/70000 [2:45:38<22:01:23, 1.28s/step] Training: 11%|█ | 7847/70000 [2:45:40<22:23:39, 1.30s/step] Training: 11%|█ | 7848/70000 [2:45:41<21:46:17, 1.26s/step] Training: 11%|█ | 7849/70000 [2:45:42<22:22:30, 1.30s/step] Training: 11%|█ | 7850/70000 [2:45:43<21:58:23, 1.27s/step] Training: 11%|█ | 7851/70000 [2:45:45<21:31:14, 1.25s/step] Training: 11%|█ | 7852/70000 [2:45:46<21:13:13, 1.23s/step] Training: 11%|█ | 7853/70000 [2:45:47<21:44:03, 1.26s/step] Training: 11%|█ | 7854/70000 [2:45:48<22:04:59, 1.28s/step] Training: 11%|█ | 7855/70000 [2:45:50<22:28:11, 1.30s/step] Training: 11%|█ | 7856/70000 [2:45:51<21:50:12, 1.27s/step] Training: 11%|█ | 7857/70000 [2:45:52<22:11:37, 1.29s/step] Training: 11%|█ | 7858/70000 [2:45:54<21:47:17, 1.26s/step] Training: 11%|█ | 7859/70000 [2:45:55<21:24:51, 1.24s/step] Training: 11%|█ | 7860/70000 [2:45:56<21:08:48, 1.23s/step] Training: 11%|█ | 7861/70000 [2:45:57<21:38:56, 1.25s/step] Training: 11%|█ | 7862/70000 [2:45:58<21:24:00, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=29153 Training: 11%|█ | 7863/70000 [2:46:00<21:58:09, 1.27s/step] Training: 11%|█ | 7864/70000 [2:46:01<21:31:49, 1.25s/step] Training: 11%|█ | 7865/70000 [2:46:02<22:10:13, 1.28s/step] Training: 11%|█ | 7866/70000 [2:46:04<22:24:35, 1.30s/step] Training: 11%|█ | 7867/70000 [2:46:05<21:51:13, 1.27s/step] Training: 11%|█ | 7868/70000 [2:46:06<21:26:32, 1.24s/step] Training: 11%|█ | 7869/70000 [2:46:07<21:16:42, 1.23s/step] Training: 11%|█ | 7870/70000 [2:46:09<21:46:01, 1.26s/step] Training: 11%|█ | 7871/70000 [2:46:10<22:18:58, 1.29s/step] Training: 11%|█ | 7872/70000 [2:46:11<21:43:53, 1.26s/step] Training: 11%|█ | 7873/70000 [2:46:13<22:07:01, 1.28s/step] Training: 11%|█ | 7874/70000 [2:46:14<22:20:54, 1.30s/step] Training: 11%|█▏ | 7875/70000 [2:46:15<21:48:25, 1.26s/step] Training: 11%|█▏ | 7876/70000 [2:46:16<21:27:46, 1.24s/step] Training: 11%|█▏ | 7877/70000 [2:46:18<21:53:10, 1.27s/step] Training: 11%|█▏ | 7878/70000 [2:46:19<22:10:28, 1.29s/step] Training: 11%|█▏ | 7879/70000 [2:46:20<22:34:45, 1.31s/step] Training: 11%|█▏ | 7880/70000 [2:46:21<21:54:30, 1.27s/step] Training: 11%|█▏ | 7881/70000 [2:46:23<22:25:56, 1.30s/step] Training: 11%|█▏ | 7882/70000 [2:46:24<22:02:53, 1.28s/step] Training: 11%|█▏ | 7883/70000 [2:46:25<21:34:53, 1.25s/step] Training: 11%|█▏ | 7884/70000 [2:46:26<21:16:38, 1.23s/step] Training: 11%|█▏ | 7885/70000 [2:46:28<21:47:49, 1.26s/step] Training: 11%|█▏ | 7886/70000 [2:46:29<21:35:23, 1.25s/step] Training: 11%|█▏ | 7887/70000 [2:46:30<22:05:50, 1.28s/step] Training: 11%|█▏ | 7888/70000 [2:46:31<21:34:19, 1.25s/step] Training: 11%|█▏ | 7889/70000 [2:46:33<22:01:00, 1.28s/step] Training: 11%|█▏ | 7890/70000 [2:46:34<21:41:09, 1.26s/step] Training: 11%|█▏ | 7891/70000 [2:46:35<21:20:24, 1.24s/step] Training: 11%|█▏ | 7892/70000 [2:46:36<21:05:28, 1.22s/step] Training: 11%|█▏ | 7893/70000 [2:46:38<21:38:46, 1.25s/step] Training: 11%|█▏ | 7894/70000 [2:46:39<21:23:38, 1.24s/step] Training: 11%|█▏ | 7895/70000 [2:46:40<21:51:29, 1.27s/step] Training: 11%|█▏ | 7896/70000 [2:46:41<21:29:17, 1.25s/step] Training: 11%|█▏ | 7897/70000 [2:46:43<22:03:54, 1.28s/step] Training: 11%|█▏ | 7898/70000 [2:46:44<22:19:10, 1.29s/step] Training: 11%|█▏ | 7899/70000 [2:46:45<21:47:24, 1.26s/step] Training: 11%|█▏ | 7900/70000 [2:46:47<21:23:28, 1.24s/step]INFO 2026-03-12 22:56:39 ot_train.py:435 step:8K smpl:506K ep:2K epch:6.70 loss:0.199 grdn:14.329 lr:2.4e-05 updt_s:1.242 data_s:0.019 Training: 11%|█▏ | 7901/70000 [2:46:48<21:16:37, 1.23s/step] Training: 11%|█▏ | 7902/70000 [2:46:49<21:47:37, 1.26s/step] Training: 11%|█▏ | 7903/70000 [2:46:50<22:19:06, 1.29s/step] Training: 11%|█▏ | 7904/70000 [2:46:52<21:44:37, 1.26s/step] Training: 11%|█▏ | 7905/70000 [2:46:53<22:05:40, 1.28s/step] Training: 11%|█▏ | 7906/70000 [2:46:54<22:21:29, 1.30s/step] Training: 11%|█▏ | 7907/70000 [2:46:55<21:48:57, 1.26s/step] Training: 11%|█▏ | 7908/70000 [2:46:57<21:24:59, 1.24s/step] Training: 11%|█▏ | 7909/70000 [2:46:58<21:51:10, 1.27s/step] Training: 11%|█▏ | 7910/70000 [2:46:59<22:08:47, 1.28s/step] Training: 11%|█▏ | 7911/70000 [2:47:01<22:31:42, 1.31s/step] Training: 11%|█▏ | 7912/70000 [2:47:02<21:53:24, 1.27s/step] Training: 11%|█▏ | 7913/70000 [2:47:03<22:27:14, 1.30s/step] Training: 11%|█▏ | 7914/70000 [2:47:04<22:04:01, 1.28s/step] Training: 11%|█▏ | 7915/70000 [2:47:06<21:35:07, 1.25s/step] Training: 11%|█▏ | 7916/70000 [2:47:07<21:15:42, 1.23s/step] Training: 11%|█▏ | 7917/70000 [2:47:08<21:44:23, 1.26s/step] Training: 11%|█▏ | 7918/70000 [2:47:09<21:34:08, 1.25s/step] Training: 11%|█▏ | 7919/70000 [2:47:11<22:07:02, 1.28s/step] Training: 11%|█▏ | 7920/70000 [2:47:12<21:35:31, 1.25s/step] Training: 11%|█▏ | 7921/70000 [2:47:13<21:58:20, 1.27s/step] Training: 11%|█▏ | 7922/70000 [2:47:14<21:36:13, 1.25s/step] Training: 11%|█▏ | 7923/70000 [2:47:16<21:16:34, 1.23s/step] Training: 11%|█▏ | 7924/70000 [2:47:17<21:02:53, 1.22s/step] Training: 11%|█▏ | 7925/70000 [2:47:18<21:34:23, 1.25s/step] Training: 11%|█▏ | 7926/70000 [2:47:19<21:23:35, 1.24s/step] Training: 11%|█▏ | 7927/70000 [2:47:21<21:52:56, 1.27s/step] Training: 11%|█▏ | 7928/70000 [2:47:22<21:27:58, 1.24s/step] Training: 11%|█▏ | 7929/70000 [2:47:23<22:09:07, 1.28s/step] Training: 11%|█▏ | 7930/70000 [2:47:25<22:22:03, 1.30s/step] Training: 11%|█▏ | 7931/70000 [2:47:26<21:48:47, 1.27s/step] Training: 11%|█▏ | 7932/70000 [2:47:27<21:26:29, 1.24s/step] Training: 11%|█▏ | 7933/70000 [2:47:28<21:17:40, 1.24s/step] Training: 11%|█▏ | 7934/70000 [2:47:30<21:46:59, 1.26s/step] Training: 11%|█▏ | 7935/70000 [2:47:31<22:16:32, 1.29s/step] Training: 11%|█▏ | 7936/70000 [2:47:32<21:42:20, 1.26s/step] Training: 11%|█▏ | 7937/70000 [2:47:33<22:03:08, 1.28s/step] Training: 11%|█▏ | 7938/70000 [2:47:35<22:19:40, 1.30s/step] Training: 11%|█▏ | 7939/70000 [2:47:36<21:46:36, 1.26s/step] Training: 11%|█▏ | 7940/70000 [2:47:37<21:22:58, 1.24s/step] Training: 11%|█▏ | 7941/70000 [2:47:38<21:51:40, 1.27s/step] Training: 11%|█▏ | 7942/70000 [2:47:40<22:10:11, 1.29s/step] Training: 11%|█▏ | 7943/70000 [2:47:41<22:30:20, 1.31s/step] Training: 11%|█▏ | 7944/70000 [2:47:42<21:50:24, 1.27s/step] Training: 11%|█▏ | 7945/70000 [2:47:44<22:20:45, 1.30s/step] Training: 11%|█▏ | 7946/70000 [2:47:45<21:57:05, 1.27s/step] Training: 11%|█▏ | 7947/70000 [2:47:46<21:30:46, 1.25s/step] Training: 11%|█▏ | 7948/70000 [2:47:47<21:12:34, 1.23s/step] Training: 11%|█▏ | 7949/70000 [2:47:49<21:42:38, 1.26s/step] Training: 11%|█▏ | 7950/70000 [2:47:50<21:33:02, 1.25s/step] Training: 11%|█▏ | 7951/70000 [2:47:51<22:03:00, 1.28s/step] Training: 11%|█▏ | 7952/70000 [2:47:52<21:32:44, 1.25s/step] Training: 11%|█▏ | 7953/70000 [2:47:54<22:00:25, 1.28s/step] Training: 11%|█▏ | 7954/70000 [2:47:55<21:40:49, 1.26s/step] Training: 11%|█▏ | 7955/70000 [2:47:56<21:18:38, 1.24s/step] Training: 11%|█▏ | 7956/70000 [2:47:57<21:05:08, 1.22s/step] Training: 11%|█▏ | 7957/70000 [2:47:59<21:38:51, 1.26s/step] Training: 11%|█▏ | 7958/70000 [2:48:00<21:23:16, 1.24s/step] Training: 11%|█▏ | 7959/70000 [2:48:01<21:51:21, 1.27s/step] Training: 11%|█▏ | 7960/70000 [2:48:02<21:26:16, 1.24s/step] Training: 11%|█▏ | 7961/70000 [2:48:04<22:01:00, 1.28s/step] Training: 11%|█▏ | 7962/70000 [2:48:05<22:16:03, 1.29s/step] Training: 11%|█▏ | 7963/70000 [2:48:06<21:43:37, 1.26s/step] Training: 11%|█▏ | 7964/70000 [2:48:07<21:22:01, 1.24s/step] Training: 11%|█▏ | 7965/70000 [2:48:09<21:12:49, 1.23s/step] Training: 11%|█▏ | 7966/70000 [2:48:10<21:44:07, 1.26s/step] Training: 11%|█▏ | 7967/70000 [2:48:11<22:16:47, 1.29s/step] Training: 11%|█▏ | 7968/70000 [2:48:12<21:40:34, 1.26s/step] Training: 11%|█▏ | 7969/70000 [2:48:14<22:05:39, 1.28s/step] Training: 11%|█▏ | 7970/70000 [2:48:15<22:18:46, 1.29s/step] Training: 11%|█▏ | 7971/70000 [2:48:16<21:46:51, 1.26s/step] Training: 11%|█▏ | 7972/70000 [2:48:18<21:22:41, 1.24s/step] Training: 11%|█▏ | 7973/70000 [2:48:19<21:53:08, 1.27s/step] Training: 11%|█▏ | 7974/70000 [2:48:20<22:13:05, 1.29s/step] Training: 11%|█▏ | 7975/70000 [2:48:22<22:32:16, 1.31s/step] Training: 11%|█▏ | 7976/70000 [2:48:23<21:52:02, 1.27s/step] Training: 11%|█▏ | 7977/70000 [2:48:24<22:25:45, 1.30s/step] Training: 11%|█▏ | 7978/70000 [2:48:25<22:07:08, 1.28s/step] Training: 11%|█▏ | 7979/70000 [2:48:27<21:37:21, 1.26s/step] Training: 11%|█▏ | 7980/70000 [2:48:28<21:16:50, 1.24s/step] Training: 11%|█▏ | 7981/70000 [2:48:29<21:50:33, 1.27s/step] Training: 11%|█▏ | 7982/70000 [2:48:30<21:38:43, 1.26s/step] Training: 11%|█▏ | 7983/70000 [2:48:32<22:10:26, 1.29s/step] Training: 11%|█▏ | 7984/70000 [2:48:33<21:37:51, 1.26s/step] Training: 11%|█▏ | 7985/70000 [2:48:34<21:58:21, 1.28s/step] Training: 11%|█▏ | 7986/70000 [2:48:35<21:35:21, 1.25s/step] Training: 11%|█▏ | 7987/70000 [2:48:37<21:18:00, 1.24s/step] Training: 11%|█▏ | 7988/70000 [2:48:38<21:02:56, 1.22s/step] Training: 11%|█▏ | 7989/70000 [2:48:39<21:37:52, 1.26s/step] Training: 11%|█▏ | 7990/70000 [2:48:40<21:22:05, 1.24s/step] Training: 11%|█▏ | 7991/70000 [2:48:42<21:52:07, 1.27s/step] Training: 11%|█▏ | 7992/70000 [2:48:43<21:26:59, 1.25s/step] Training: 11%|█▏ | 7993/70000 [2:48:44<22:09:51, 1.29s/step] Training: 11%|█▏ | 7994/70000 [2:48:46<22:22:30, 1.30s/step] Training: 11%|█▏ | 7995/70000 [2:48:47<21:50:51, 1.27s/step] Training: 11%|█▏ | 7996/70000 [2:48:48<21:25:56, 1.24s/step] Training: 11%|█▏ | 7997/70000 [2:48:49<21:16:42, 1.24s/step] Training: 11%|█▏ | 7998/70000 [2:48:50<21:46:41, 1.26s/step] Training: 11%|█▏ | 7999/70000 [2:48:52<22:12:46, 1.29s/step] Training: 11%|█▏ | 8000/70000 [2:48:53<21:39:12, 1.26s/step]INFO 2026-03-12 22:58:45 ot_train.py:435 step:8K smpl:512K ep:2K epch:6.78 loss:0.207 grdn:14.938 lr:2.4e-05 updt_s:1.243 data_s:0.019 Training: 11%|█▏ | 8001/70000 [2:48:54<22:06:10, 1.28s/step] Training: 11%|█▏ | 8002/70000 [2:48:56<22:56:31, 1.33s/step] Training: 11%|█▏ | 8003/70000 [2:48:57<22:11:57, 1.29s/step] Training: 11%|█▏ | 8004/70000 [2:48:58<21:40:49, 1.26s/step] Training: 11%|█▏ | 8005/70000 [2:49:00<22:07:16, 1.28s/step] Training: 11%|█▏ | 8006/70000 [2:49:01<22:25:12, 1.30s/step] Training: 11%|█▏ | 8007/70000 [2:49:02<22:41:03, 1.32s/step] Training: 11%|█▏ | 8008/70000 [2:49:03<21:57:43, 1.28s/step] Training: 11%|█▏ | 8009/70000 [2:49:05<22:15:26, 1.29s/step] Training: 11%|█▏ | 8010/70000 [2:49:06<22:16:15, 1.29s/step] Training: 11%|█▏ | 8011/70000 [2:49:07<21:44:29, 1.26s/step] Training: 11%|█▏ | 8012/70000 [2:49:08<21:22:13, 1.24s/step] Training: 11%|█▏ | 8013/70000 [2:49:10<21:51:44, 1.27s/step] Training: 11%|█▏ | 8014/70000 [2:49:11<21:40:40, 1.26s/step] Training: 11%|█▏ | 8015/70000 [2:49:12<22:08:39, 1.29s/step] Training: 11%|█▏ | 8016/70000 [2:49:13<21:35:45, 1.25s/step] Training: 11%|█▏ | 8017/70000 [2:49:15<22:01:19, 1.28s/step] Training: 11%|█▏ | 8018/70000 [2:49:16<21:39:39, 1.26s/step] Training: 11%|█▏ | 8019/70000 [2:49:17<21:18:01, 1.24s/step] Training: 11%|█▏ | 8020/70000 [2:49:18<21:03:00, 1.22s/step] Training: 11%|█▏ | 8021/70000 [2:49:20<21:39:37, 1.26s/step] Training: 11%|█▏ | 8022/70000 [2:49:21<21:26:22, 1.25s/step] Training: 11%|█▏ | 8023/70000 [2:49:22<21:52:50, 1.27s/step] Training: 11%|█▏ | 8024/70000 [2:49:23<21:26:54, 1.25s/step] Training: 11%|█▏ | 8025/70000 [2:49:25<21:26:21, 1.25s/step] Training: 11%|█▏ | 8026/70000 [2:49:26<21:52:07, 1.27s/step] Training: 11%|█▏ | 8027/70000 [2:49:27<21:26:45, 1.25s/step] Training: 11%|█▏ | 8028/70000 [2:49:28<21:11:18, 1.23s/step] Training: 11%|█▏ | 8029/70000 [2:49:30<21:05:10, 1.22s/step] Training: 11%|█▏ | 8030/70000 [2:49:31<21:38:23, 1.26s/step] Training: 11%|█▏ | 8031/70000 [2:49:32<22:08:38, 1.29s/step] Training: 11%|█▏ | 8032/70000 [2:49:34<21:35:59, 1.25s/step] Training: 11%|█▏ | 8033/70000 [2:49:35<22:02:39, 1.28s/step] Training: 11%|█▏ | 8034/70000 [2:49:36<22:18:19, 1.30s/step] Training: 11%|█▏ | 8035/70000 [2:49:37<21:46:25, 1.27s/step] Training: 11%|█▏ | 8036/70000 [2:49:39<21:22:32, 1.24s/step] Training: 11%|█▏ | 8037/70000 [2:49:40<21:52:56, 1.27s/step] Training: 11%|█▏ | 8038/70000 [2:49:41<22:11:53, 1.29s/step] Training: 11%|█▏ | 8039/70000 [2:49:43<22:32:55, 1.31s/step] Training: 11%|█▏ | 8040/70000 [2:49:44<21:53:41, 1.27s/step] Training: 11%|█▏ | 8041/70000 [2:49:45<22:10:44, 1.29s/step] Training: 11%|█▏ | 8042/70000 [2:49:46<21:55:53, 1.27s/step] Training: 11%|█▏ | 8043/70000 [2:49:48<21:29:27, 1.25s/step] Training: 11%|█▏ | 8044/70000 [2:49:49<21:11:00, 1.23s/step] Training: 11%|█▏ | 8045/70000 [2:49:50<21:44:22, 1.26s/step] Training: 11%|█▏ | 8046/70000 [2:49:51<21:34:14, 1.25s/step] Training: 11%|█▏ | 8047/70000 [2:49:53<22:01:18, 1.28s/step] Training: 11%|█▏ | 8048/70000 [2:49:54<22:20:50, 1.30s/step] Training: 11%|█▏ | 8049/70000 [2:49:55<22:27:13, 1.30s/step] Training: 12%|█▏ | 8050/70000 [2:49:57<22:33:16, 1.31s/step] Training: 12%|█▏ | 8051/70000 [2:49:58<21:55:23, 1.27s/step] Training: 12%|█▏ | 8052/70000 [2:49:59<21:28:34, 1.25s/step] Training: 12%|█▏ | 8053/70000 [2:50:00<21:25:56, 1.25s/step] Training: 12%|█▏ | 8054/70000 [2:50:01<21:15:49, 1.24s/step] Training: 12%|█▏ | 8055/70000 [2:50:03<21:46:43, 1.27s/step] Training: 12%|█▏ | 8056/70000 [2:50:04<22:18:55, 1.30s/step] Training: 12%|█▏ | 8057/70000 [2:50:05<22:00:09, 1.28s/step] Training: 12%|█▏ | 8058/70000 [2:50:07<22:16:14, 1.29s/step] Training: 12%|█▏ | 8059/70000 [2:50:08<21:43:36, 1.26s/step] Training: 12%|█▏ | 8060/70000 [2:50:09<21:20:30, 1.24s/step] Training: 12%|█▏ | 8061/70000 [2:50:10<21:13:38, 1.23s/step] Training: 12%|█▏ | 8062/70000 [2:50:12<21:42:09, 1.26s/step] Training: 12%|█▏ | 8063/70000 [2:50:13<22:02:42, 1.28s/step] Training: 12%|█▏ | 8064/70000 [2:50:14<21:43:50, 1.26s/step] Training: 12%|█▏ | 8065/70000 [2:50:16<22:02:22, 1.28s/step] Training: 12%|█▏ | 8066/70000 [2:50:17<22:17:07, 1.30s/step] Training: 12%|█▏ | 8067/70000 [2:50:18<21:43:39, 1.26s/step] Training: 12%|█▏ | 8068/70000 [2:50:19<21:21:42, 1.24s/step] Training: 12%|█▏ | 8069/70000 [2:50:21<21:47:39, 1.27s/step] Training: 12%|█▏ | 8070/70000 [2:50:22<22:03:25, 1.28s/step] Training: 12%|█▏ | 8071/70000 [2:50:23<21:41:00, 1.26s/step] Training: 12%|█▏ | 8072/70000 [2:50:24<21:44:23, 1.26s/step] Training: 12%|█▏ | 8073/70000 [2:50:26<22:04:39, 1.28s/step] Training: 12%|█▏ | 8074/70000 [2:50:27<21:52:28, 1.27s/step] Training: 12%|█▏ | 8075/70000 [2:50:28<21:26:28, 1.25s/step] Training: 12%|█▏ | 8076/70000 [2:50:29<21:10:06, 1.23s/step] Training: 12%|█▏ | 8077/70000 [2:50:31<21:37:59, 1.26s/step] Training: 12%|█▏ | 8078/70000 [2:50:32<21:26:43, 1.25s/step] Training: 12%|█▏ | 8079/70000 [2:50:33<21:54:01, 1.27s/step] Training: 12%|█▏ | 8080/70000 [2:50:34<21:27:50, 1.25s/step] Training: 12%|█▏ | 8081/70000 [2:50:36<22:27:23, 1.31s/step] Training: 12%|█▏ | 8082/70000 [2:50:37<22:36:48, 1.31s/step] Training: 12%|█▏ | 8083/70000 [2:50:38<22:00:24, 1.28s/step] Training: 12%|█▏ | 8084/70000 [2:50:40<21:33:05, 1.25s/step] Training: 12%|█▏ | 8085/70000 [2:50:41<21:24:23, 1.24s/step] Training: 12%|█▏ | 8086/70000 [2:50:42<21:14:12, 1.23s/step] Training: 12%|█▏ | 8087/70000 [2:50:43<21:42:36, 1.26s/step] Training: 12%|█▏ | 8088/70000 [2:50:45<21:21:19, 1.24s/step] Training: 12%|█▏ | 8089/70000 [2:50:46<21:32:05, 1.25s/step] Training: 12%|█▏ | 8090/70000 [2:50:47<22:00:28, 1.28s/step] Training: 12%|█▏ | 8091/70000 [2:50:48<22:12:21, 1.29s/step] Training: 12%|█▏ | 8092/70000 [2:50:50<21:41:54, 1.26s/step] Training: 12%|█▏ | 8093/70000 [2:50:51<21:28:18, 1.25s/step] Training: 12%|█▏ | 8094/70000 [2:50:52<21:56:39, 1.28s/step] Training: 12%|█▏ | 8095/70000 [2:50:54<22:11:18, 1.29s/step] Training: 12%|█▏ | 8096/70000 [2:50:55<21:39:39, 1.26s/step] Training: 12%|█▏ | 8097/70000 [2:50:56<21:59:57, 1.28s/step] Training: 12%|█▏ | 8098/70000 [2:50:57<22:23:12, 1.30s/step] Training: 12%|█▏ | 8099/70000 [2:50:59<22:03:22, 1.28s/step] Training: 12%|█▏ | 8100/70000 [2:51:00<21:34:59, 1.26s/step]INFO 2026-03-12 23:00:52 ot_train.py:435 step:8K smpl:518K ep:2K epch:6.87 loss:0.190 grdn:15.056 lr:2.4e-05 updt_s:1.247 data_s:0.019 Training: 12%|█▏ | 8101/70000 [2:51:01<21:59:31, 1.28s/step] Training: 12%|█▏ | 8102/70000 [2:51:02<22:13:50, 1.29s/step] Training: 12%|█▏ | 8103/70000 [2:51:04<21:47:23, 1.27s/step] Training: 12%|█▏ | 8104/70000 [2:51:05<21:22:56, 1.24s/step] Training: 12%|█▏ | 8105/70000 [2:51:06<22:00:06, 1.28s/step] Training: 12%|█▏ | 8106/70000 [2:51:07<21:43:02, 1.26s/step] Training: 12%|█▏ | 8107/70000 [2:51:09<21:28:24, 1.25s/step] Training: 12%|█▏ | 8108/70000 [2:51:10<21:08:55, 1.23s/step] Training: 12%|█▏ | 8109/70000 [2:51:11<21:41:20, 1.26s/step] Training: 12%|█▏ | 8110/70000 [2:51:12<21:28:25, 1.25s/step] Training: 12%|█▏ | 8111/70000 [2:51:14<21:51:46, 1.27s/step] Training: 12%|█▏ | 8112/70000 [2:51:15<21:26:14, 1.25s/step] Training: 12%|█▏ | 8113/70000 [2:51:16<21:57:54, 1.28s/step] Training: 12%|█▏ | 8114/70000 [2:51:18<22:08:52, 1.29s/step] Training: 12%|█▏ | 8115/70000 [2:51:19<22:22:01, 1.30s/step] Training: 12%|█▏ | 8116/70000 [2:51:20<21:48:27, 1.27s/step] Training: 12%|█▏ | 8117/70000 [2:51:21<21:38:21, 1.26s/step] Training: 12%|█▏ | 8118/70000 [2:51:23<21:24:03, 1.25s/step] Training: 12%|█▏ | 8119/70000 [2:51:24<21:50:05, 1.27s/step] Training: 12%|█▏ | 8120/70000 [2:51:25<21:26:58, 1.25s/step] Training: 12%|█▏ | 8121/70000 [2:51:26<22:11:43, 1.29s/step] Training: 12%|█▏ | 8122/70000 [2:51:28<22:18:27, 1.30s/step] Training: 12%|█▏ | 8123/70000 [2:51:29<22:28:11, 1.31s/step] Training: 12%|█▏ | 8124/70000 [2:51:30<21:51:02, 1.27s/step] Training: 12%|█▏ | 8125/70000 [2:51:32<21:32:45, 1.25s/step] Training: 12%|█▏ | 8126/70000 [2:51:33<21:57:37, 1.28s/step] Training: 12%|█▏ | 8127/70000 [2:51:34<22:12:53, 1.29s/step] Training: 12%|█▏ | 8128/70000 [2:51:35<21:40:11, 1.26s/step] Training: 12%|█▏ | 8129/70000 [2:51:37<22:01:29, 1.28s/step] Training: 12%|█▏ | 8130/70000 [2:51:38<22:16:10, 1.30s/step] Training: 12%|█▏ | 8131/70000 [2:51:39<22:22:52, 1.30s/step] Training: 12%|█▏ | 8132/70000 [2:51:41<21:47:24, 1.27s/step] Training: 12%|█▏ | 8133/70000 [2:51:42<22:05:56, 1.29s/step] Training: 12%|█▏ | 8134/70000 [2:51:43<22:18:46, 1.30s/step] Training: 12%|█▏ | 8135/70000 [2:51:44<21:50:17, 1.27s/step] Training: 12%|█▏ | 8136/70000 [2:51:46<21:24:13, 1.25s/step] Training: 12%|█▏ | 8137/70000 [2:51:47<21:58:48, 1.28s/step] Training: 12%|█▏ | 8138/70000 [2:51:48<21:31:09, 1.25s/step] Training: 12%|█▏ | 8139/70000 [2:51:49<21:15:53, 1.24s/step] Training: 12%|█▏ | 8140/70000 [2:51:51<21:01:48, 1.22s/step] Training: 12%|█▏ | 8141/70000 [2:51:52<21:33:23, 1.25s/step] Training: 12%|█▏ | 8142/70000 [2:51:53<21:26:13, 1.25s/step] Training: 12%|█▏ | 8143/70000 [2:51:54<21:49:27, 1.27s/step] Training: 12%|█▏ | 8144/70000 [2:51:56<21:24:13, 1.25s/step] Training: 12%|█▏ | 8145/70000 [2:51:57<22:12:50, 1.29s/step] Training: 12%|█▏ | 8146/70000 [2:51:58<22:19:43, 1.30s/step] Training: 12%|█▏ | 8147/70000 [2:52:00<22:26:25, 1.31s/step] Training: 12%|█▏ | 8148/70000 [2:52:01<21:52:03, 1.27s/step] Training: 12%|█▏ | 8149/70000 [2:52:02<21:35:41, 1.26s/step] Training: 12%|█▏ | 8150/70000 [2:52:03<21:19:58, 1.24s/step] Training: 12%|█▏ | 8151/70000 [2:52:05<21:47:03, 1.27s/step] Training: 12%|█▏ | 8152/70000 [2:52:06<21:22:38, 1.24s/step] Training: 12%|█▏ | 8153/70000 [2:52:07<22:06:13, 1.29s/step] Training: 12%|█▏ | 8154/70000 [2:52:08<22:16:41, 1.30s/step] Training: 12%|█▏ | 8155/70000 [2:52:10<22:26:13, 1.31s/step] Training: 12%|█▏ | 8156/70000 [2:52:11<21:50:25, 1.27s/step] Training: 12%|█▏ | 8157/70000 [2:52:12<21:37:37, 1.26s/step] Training: 12%|█▏ | 8158/70000 [2:52:14<22:03:24, 1.28s/step] Training: 12%|█▏ | 8159/70000 [2:52:15<22:18:08, 1.30s/step] Training: 12%|█▏ | 8160/70000 [2:52:16<21:43:30, 1.26s/step] Training: 12%|█▏ | 8161/70000 [2:52:17<22:02:24, 1.28s/step] Training: 12%|█▏ | 8162/70000 [2:52:19<22:17:31, 1.30s/step] Training: 12%|█▏ | 8163/70000 [2:52:20<22:26:49, 1.31s/step] Training: 12%|█▏ | 8164/70000 [2:52:21<21:49:56, 1.27s/step] Training: 12%|█▏ | 8165/70000 [2:52:22<21:24:29, 1.25s/step] Training: 12%|█▏ | 8166/70000 [2:52:24<22:36:13, 1.32s/step] Training: 12%|█▏ | 8167/70000 [2:52:25<22:30:20, 1.31s/step] Training: 12%|█▏ | 8168/70000 [2:52:26<21:52:08, 1.27s/step] Training: 12%|█▏ | 8169/70000 [2:52:28<22:19:29, 1.30s/step] Training: 12%|█▏ | 8170/70000 [2:52:29<21:48:23, 1.27s/step] Training: 12%|█▏ | 8171/70000 [2:52:30<21:32:07, 1.25s/step] Training: 12%|█▏ | 8172/70000 [2:52:31<21:11:24, 1.23s/step] Training: 12%|█▏ | 8173/70000 [2:52:33<21:39:32, 1.26s/step] Training: 12%|█▏ | 8174/70000 [2:52:34<21:30:55, 1.25s/step] Training: 12%|█▏ | 8175/70000 [2:52:35<21:11:08, 1.23s/step] Training: 12%|█▏ | 8176/70000 [2:52:36<20:56:37, 1.22s/step] Training: 12%|█▏ | 8177/70000 [2:52:38<21:52:30, 1.27s/step] Training: 12%|█▏ | 8178/70000 [2:52:39<22:04:50, 1.29s/step] Training: 12%|█▏ | 8179/70000 [2:52:40<22:19:11, 1.30s/step] Training: 12%|█▏ | 8180/70000 [2:52:42<21:44:18, 1.27s/step] Training: 12%|█▏ | 8181/70000 [2:52:43<21:55:45, 1.28s/step] Training: 12%|█▏ | 8182/70000 [2:52:44<21:36:30, 1.26s/step] Training: 12%|█▏ | 8183/70000 [2:52:45<21:15:42, 1.24s/step] Training: 12%|█▏ | 8184/70000 [2:52:46<21:01:29, 1.22s/step] Training: 12%|█▏ | 8185/70000 [2:52:48<21:50:04, 1.27s/step] Training: 12%|█▏ | 8186/70000 [2:52:49<22:02:42, 1.28s/step] Training: 12%|█▏ | 8187/70000 [2:52:50<22:16:12, 1.30s/step] Training: 12%|█▏ | 8188/70000 [2:52:52<21:44:06, 1.27s/step] Training: 12%|█▏ | 8189/70000 [2:52:53<22:04:25, 1.29s/step] Training: 12%|█▏ | 8190/70000 [2:52:54<22:18:38, 1.30s/step] Training: 12%|█▏ | 8191/70000 [2:52:56<21:55:52, 1.28s/step] Training: 12%|█▏ | 8192/70000 [2:52:57<21:28:15, 1.25s/step] Training: 12%|█▏ | 8193/70000 [2:52:58<21:57:30, 1.28s/step] Training: 12%|█▏ | 8194/70000 [2:52:59<22:13:23, 1.29s/step] Training: 12%|█▏ | 8195/70000 [2:53:01<22:22:35, 1.30s/step] Training: 12%|█▏ | 8196/70000 [2:53:02<21:48:53, 1.27s/step] Training: 12%|█▏ | 8197/70000 [2:53:03<21:31:13, 1.25s/step] Training: 12%|█▏ | 8198/70000 [2:53:04<21:53:45, 1.28s/step] Training: 12%|█▏ | 8199/70000 [2:53:06<21:31:24, 1.25s/step] Training: 12%|█▏ | 8200/70000 [2:53:07<21:11:53, 1.23s/step]INFO 2026-03-12 23:02:59 ot_train.py:435 step:8K smpl:525K ep:2K epch:6.95 loss:0.203 grdn:15.141 lr:2.4e-05 updt_s:1.250 data_s:0.018 Training: 12%|█▏ | 8201/70000 [2:53:08<21:48:51, 1.27s/step] Training: 12%|█▏ | 8202/70000 [2:53:10<22:01:37, 1.28s/step] Training: 12%|█▏ | 8203/70000 [2:53:11<21:38:45, 1.26s/step] Training: 12%|█▏ | 8204/70000 [2:53:12<21:16:31, 1.24s/step] Training: 12%|█▏ | 8205/70000 [2:53:13<21:43:44, 1.27s/step] Training: 12%|█▏ | 8206/70000 [2:53:14<21:33:15, 1.26s/step] Training: 12%|█▏ | 8207/70000 [2:53:16<21:55:17, 1.28s/step] Training: 12%|█▏ | 8208/70000 [2:53:17<21:30:18, 1.25s/step] Training: 12%|█▏ | 8209/70000 [2:53:18<22:14:07, 1.30s/step] Training: 12%|█▏ | 8210/70000 [2:53:20<22:36:10, 1.32s/step] Training: 12%|█▏ | 8211/70000 [2:53:21<22:39:47, 1.32s/step] Training: 12%|█▏ | 8212/70000 [2:53:22<22:03:08, 1.28s/step] Training: 12%|█▏ | 8213/70000 [2:53:24<22:14:12, 1.30s/step] Training: 12%|█▏ | 8214/70000 [2:53:25<21:52:41, 1.27s/step] Training: 12%|█▏ | 8215/70000 [2:53:26<22:07:51, 1.29s/step] Training: 12%|█▏ | 8216/70000 [2:53:27<21:37:27, 1.26s/step] Training: 12%|█▏ | 8217/70000 [2:53:29<22:05:03, 1.29s/step] Training: 12%|█▏ | 8218/70000 [2:53:30<22:12:28, 1.29s/step] Training: 12%|█▏ | 8219/70000 [2:53:31<22:19:59, 1.30s/step] Training: 12%|█▏ | 8220/70000 [2:53:33<21:46:58, 1.27s/step] Training: 12%|█▏ | 8221/70000 [2:53:34<22:03:51, 1.29s/step] Training: 12%|█▏ | 8222/70000 [2:53:35<22:14:08, 1.30s/step] Training: 12%|█▏ | 8223/70000 [2:53:36<21:52:18, 1.27s/step] Training: 12%|█▏ | 8224/70000 [2:53:38<21:25:29, 1.25s/step] Training: 12%|█▏ | 8225/70000 [2:53:39<21:48:47, 1.27s/step] Training: 12%|█▏ | 8226/70000 [2:53:40<22:06:03, 1.29s/step] Training: 12%|█▏ | 8227/70000 [2:53:42<22:17:46, 1.30s/step] Training: 12%|█▏ | 8228/70000 [2:53:43<21:44:41, 1.27s/step] Training: 12%|█▏ | 8229/70000 [2:53:44<21:30:04, 1.25s/step] Training: 12%|█▏ | 8230/70000 [2:53:45<21:56:49, 1.28s/step] Training: 12%|█▏ | 8231/70000 [2:53:47<21:36:47, 1.26s/step] Training: 12%|█▏ | 8232/70000 [2:53:48<21:16:44, 1.24s/step] Training: 12%|█▏ | 8233/70000 [2:53:49<21:53:43, 1.28s/step] Training: 12%|█▏ | 8234/70000 [2:53:50<22:30:34, 1.31s/step] Training: 12%|█▏ | 8235/70000 [2:53:52<22:02:46, 1.28s/step] Training: 12%|█▏ | 8236/70000 [2:53:53<21:33:25, 1.26s/step] Training: 12%|█▏ | 8237/70000 [2:53:54<21:56:10, 1.28s/step] Training: 12%|█▏ | 8238/70000 [2:53:55<21:42:04, 1.26s/step] Training: 12%|█▏ | 8239/70000 [2:53:57<22:04:20, 1.29s/step] Training: 12%|█▏ | 8240/70000 [2:53:58<21:34:58, 1.26s/step] Training: 12%|█▏ | 8241/70000 [2:53:59<22:07:26, 1.29s/step] Training: 12%|█▏ | 8242/70000 [2:54:01<22:49:34, 1.33s/step] Training: 12%|█▏ | 8243/70000 [2:54:02<22:52:22, 1.33s/step] Training: 12%|█▏ | 8244/70000 [2:54:03<22:07:15, 1.29s/step] Training: 12%|█▏ | 8245/70000 [2:54:05<22:19:48, 1.30s/step] Training: 12%|█▏ | 8246/70000 [2:54:06<21:54:04, 1.28s/step] Training: 12%|█▏ | 8247/70000 [2:54:07<22:10:02, 1.29s/step] Training: 12%|█▏ | 8248/70000 [2:54:08<21:38:47, 1.26s/step] Training: 12%|█▏ | 8249/70000 [2:54:10<22:03:50, 1.29s/step] Training: 12%|█▏ | 8250/70000 [2:54:11<22:15:01, 1.30s/step] Training: 12%|█▏ | 8251/70000 [2:54:12<22:25:40, 1.31s/step] Training: 12%|█▏ | 8252/70000 [2:54:14<21:48:32, 1.27s/step] Training: 12%|█▏ | 8253/70000 [2:54:15<22:08:01, 1.29s/step] Training: 12%|█▏ | 8254/70000 [2:54:16<22:22:57, 1.30s/step] Training: 12%|█▏ | 8255/70000 [2:54:17<21:59:44, 1.28s/step] Training: 12%|█▏ | 8256/70000 [2:54:19<21:30:09, 1.25s/step] Training: 12%|█▏ | 8257/70000 [2:54:20<21:23:00, 1.25s/step] Training: 12%|█▏ | 8258/70000 [2:54:21<22:21:20, 1.30s/step] Training: 12%|█▏ | 8259/70000 [2:54:23<22:29:50, 1.31s/step] Training: 12%|█▏ | 8260/70000 [2:54:25<26:15:24, 1.53s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 12%|█▏ | 8261/70000 [2:54:28<37:54:02, 2.21s/step] Training: 12%|█▏ | 8262/70000 [2:54:30<33:45:44, 1.97s/step] Training: 12%|█▏ | 8263/70000 [2:54:31<30:11:01, 1.76s/step] Training: 12%|█▏ | 8264/70000 [2:54:32<27:16:12, 1.59s/step] Training: 12%|█▏ | 8265/70000 [2:54:34<26:32:46, 1.55s/step] Training: 12%|█▏ | 8266/70000 [2:54:35<26:20:23, 1.54s/step] Training: 12%|█▏ | 8267/70000 [2:54:37<25:17:01, 1.47s/step] Training: 12%|█▏ | 8268/70000 [2:54:38<23:49:12, 1.39s/step] Training: 12%|█▏ | 8269/70000 [2:54:39<23:35:20, 1.38s/step] Training: 12%|█▏ | 8270/70000 [2:54:41<23:26:30, 1.37s/step] Training: 12%|█▏ | 8271/70000 [2:54:42<23:15:48, 1.36s/step] Training: 12%|█▏ | 8272/70000 [2:54:43<22:23:22, 1.31s/step] Training: 12%|█▏ | 8273/70000 [2:54:44<22:39:40, 1.32s/step] Training: 12%|█▏ | 8274/70000 [2:54:46<22:39:05, 1.32s/step] Training: 12%|█▏ | 8275/70000 [2:54:47<22:00:43, 1.28s/step] Training: 12%|█▏ | 8276/70000 [2:54:48<21:31:25, 1.26s/step] Training: 12%|█▏ | 8277/70000 [2:54:49<21:55:48, 1.28s/step] Training: 12%|█▏ | 8278/70000 [2:54:51<21:36:54, 1.26s/step] Training: 12%|█▏ | 8279/70000 [2:54:52<21:57:57, 1.28s/step] Training: 12%|█▏ | 8280/70000 [2:54:53<21:30:03, 1.25s/step] Training: 12%|█▏ | 8281/70000 [2:54:55<22:06:45, 1.29s/step] Training: 12%|█▏ | 8282/70000 [2:54:56<22:20:35, 1.30s/step] Training: 12%|█▏ | 8283/70000 [2:54:57<21:47:10, 1.27s/step] Training: 12%|█▏ | 8284/70000 [2:54:58<21:22:39, 1.25s/step] Training: 12%|█▏ | 8285/70000 [2:55:00<21:49:10, 1.27s/step] Training: 12%|█▏ | 8286/70000 [2:55:01<22:08:45, 1.29s/step] Training: 12%|█▏ | 8287/70000 [2:55:02<21:52:02, 1.28s/step] Training: 12%|█▏ | 8288/70000 [2:55:03<21:26:11, 1.25s/step] Training: 12%|█▏ | 8289/70000 [2:55:05<21:24:23, 1.25s/step] Training: 12%|█▏ | 8290/70000 [2:55:06<21:52:52, 1.28s/step] Training: 12%|█▏ | 8291/70000 [2:55:07<21:36:31, 1.26s/step] Training: 12%|█▏ | 8292/70000 [2:55:08<21:13:56, 1.24s/step] Training: 12%|█▏ | 8293/70000 [2:55:10<21:04:46, 1.23s/step] Training: 12%|█▏ | 8294/70000 [2:55:11<21:38:40, 1.26s/step] Training: 12%|█▏ | 8295/70000 [2:55:12<21:21:48, 1.25s/step] Training: 12%|█▏ | 8296/70000 [2:55:13<21:05:04, 1.23s/step] Training: 12%|█▏ | 8297/70000 [2:55:15<21:41:40, 1.27s/step] Training: 12%|█▏ | 8298/70000 [2:55:16<21:59:57, 1.28s/step] Training: 12%|█▏ | 8299/70000 [2:55:17<21:34:50, 1.26s/step] Training: 12%|█▏ | 8300/70000 [2:55:18<21:14:00, 1.24s/step]INFO 2026-03-12 23:05:11 ot_train.py:435 step:8K smpl:531K ep:2K epch:7.04 loss:0.193 grdn:14.983 lr:2.4e-05 updt_s:1.261 data_s:0.052 Training: 12%|█▏ | 8301/70000 [2:55:20<21:46:13, 1.27s/step] Training: 12%|█▏ | 8302/70000 [2:55:21<22:03:00, 1.29s/step] Training: 12%|█▏ | 8303/70000 [2:55:22<22:17:21, 1.30s/step] Training: 12%|█▏ | 8304/70000 [2:55:24<21:43:41, 1.27s/step] Training: 12%|█▏ | 8305/70000 [2:55:25<22:14:47, 1.30s/step] Training: 12%|█▏ | 8306/70000 [2:55:26<22:27:11, 1.31s/step] Training: 12%|█▏ | 8307/70000 [2:55:28<22:36:05, 1.32s/step] Training: 12%|█▏ | 8308/70000 [2:55:29<21:57:03, 1.28s/step] Training: 12%|█▏ | 8309/70000 [2:55:30<22:11:03, 1.29s/step] Training: 12%|█▏ | 8310/70000 [2:55:31<21:46:29, 1.27s/step] Training: 12%|█▏ | 8311/70000 [2:55:33<22:05:35, 1.29s/step] Training: 12%|█▏ | 8312/70000 [2:55:34<21:34:32, 1.26s/step] Training: 12%|█▏ | 8313/70000 [2:55:35<22:10:12, 1.29s/step] Training: 12%|█▏ | 8314/70000 [2:55:37<22:30:56, 1.31s/step] Training: 12%|█▏ | 8315/70000 [2:55:38<22:40:47, 1.32s/step] Training: 12%|█▏ | 8316/70000 [2:55:39<21:58:57, 1.28s/step] Training: 12%|█▏ | 8317/70000 [2:55:40<22:14:56, 1.30s/step] Training: 12%|█▏ | 8318/70000 [2:55:42<22:28:45, 1.31s/step] Training: 12%|█▏ | 8319/70000 [2:55:43<22:02:20, 1.29s/step] Training: 12%|█▏ | 8320/70000 [2:55:44<21:34:13, 1.26s/step] Training: 12%|█▏ | 8321/70000 [2:55:45<21:27:07, 1.25s/step] Training: 12%|█▏ | 8322/70000 [2:55:47<21:57:56, 1.28s/step] Training: 12%|█▏ | 8323/70000 [2:55:48<21:40:29, 1.27s/step] Training: 12%|█▏ | 8324/70000 [2:55:49<21:17:25, 1.24s/step] Training: 12%|█▏ | 8325/70000 [2:55:50<21:06:54, 1.23s/step] Training: 12%|█▏ | 8326/70000 [2:55:52<21:40:51, 1.27s/step] Training: 12%|█▏ | 8327/70000 [2:55:53<21:24:55, 1.25s/step] Training: 12%|█▏ | 8328/70000 [2:55:54<21:06:35, 1.23s/step] Training: 12%|█▏ | 8329/70000 [2:55:56<21:44:38, 1.27s/step] Training: 12%|█▏ | 8330/70000 [2:55:57<22:15:59, 1.30s/step] Training: 12%|█▏ | 8331/70000 [2:55:58<21:49:52, 1.27s/step] Training: 12%|█▏ | 8332/70000 [2:55:59<21:23:51, 1.25s/step] Training: 12%|█▏ | 8333/70000 [2:56:01<21:51:31, 1.28s/step] Training: 12%|█▏ | 8334/70000 [2:56:02<22:12:49, 1.30s/step] Training: 12%|█▏ | 8335/70000 [2:56:03<22:23:39, 1.31s/step] Training: 12%|█▏ | 8336/70000 [2:56:05<21:48:10, 1.27s/step] Training: 12%|█▏ | 8337/70000 [2:56:06<22:13:49, 1.30s/step] Training: 12%|█▏ | 8338/70000 [2:56:07<21:46:27, 1.27s/step] Training: 12%|█▏ | 8339/70000 [2:56:09<22:40:36, 1.32s/step] Training: 12%|█▏ | 8340/70000 [2:56:10<21:58:31, 1.28s/step] Training: 12%|█▏ | 8341/70000 [2:56:11<22:10:55, 1.30s/step] Training: 12%|█▏ | 8342/70000 [2:56:12<21:49:46, 1.27s/step] Training: 12%|█▏ | 8343/70000 [2:56:14<22:08:23, 1.29s/step] Training: 12%|█▏ | 8344/70000 [2:56:15<21:36:48, 1.26s/step] Training: 12%|█▏ | 8345/70000 [2:56:16<22:04:43, 1.29s/step] Training: 12%|█▏ | 8346/70000 [2:56:18<22:18:35, 1.30s/step] Training: 12%|█▏ | 8347/70000 [2:56:19<22:28:49, 1.31s/step] Training: 12%|█▏ | 8348/70000 [2:56:20<21:50:03, 1.27s/step] Training: 12%|█▏ | 8349/70000 [2:56:21<22:03:31, 1.29s/step] Training: 12%|█▏ | 8350/70000 [2:56:23<22:18:09, 1.30s/step] Training: 12%|█▏ | 8351/70000 [2:56:24<21:53:30, 1.28s/step] Training: 12%|█▏ | 8352/70000 [2:56:25<21:25:29, 1.25s/step] Training: 12%|█▏ | 8353/70000 [2:56:26<21:22:03, 1.25s/step] Training: 12%|█▏ | 8354/70000 [2:56:28<21:50:08, 1.28s/step] Training: 12%|█▏ | 8355/70000 [2:56:29<21:34:16, 1.26s/step] Training: 12%|█▏ | 8356/70000 [2:56:30<21:12:22, 1.24s/step] Training: 12%|█▏ | 8357/70000 [2:56:31<21:03:40, 1.23s/step] Training: 12%|█▏ | 8358/70000 [2:56:33<21:37:38, 1.26s/step] Training: 12%|█▏ | 8359/70000 [2:56:34<21:25:40, 1.25s/step] Training: 12%|█▏ | 8360/70000 [2:56:35<21:07:32, 1.23s/step] Training: 12%|█▏ | 8361/70000 [2:56:36<21:43:50, 1.27s/step] Training: 12%|█▏ | 8362/70000 [2:56:38<21:41:21, 1.27s/step] Training: 12%|█▏ | 8363/70000 [2:56:39<21:24:23, 1.25s/step] Training: 12%|█▏ | 8364/70000 [2:56:40<21:06:04, 1.23s/step] Training: 12%|█▏ | 8365/70000 [2:56:41<21:35:05, 1.26s/step] Training: 12%|█▏ | 8366/70000 [2:56:43<22:02:43, 1.29s/step] Training: 12%|█▏ | 8367/70000 [2:56:44<22:15:15, 1.30s/step] Training: 12%|█▏ | 8368/70000 [2:56:45<21:41:58, 1.27s/step] Training: 12%|█▏ | 8369/70000 [2:56:46<21:21:06, 1.25s/step] Training: 12%|█▏ | 8370/70000 [2:56:48<22:16:56, 1.30s/step] Training: 12%|█▏ | 8371/70000 [2:56:49<22:29:29, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=40066 Training: 12%|█▏ | 8372/70000 [2:56:50<21:50:55, 1.28s/step] Training: 12%|█▏ | 8373/70000 [2:56:52<22:07:03, 1.29s/step] Training: 12%|█▏ | 8374/70000 [2:56:53<21:41:40, 1.27s/step] Training: 12%|█▏ | 8375/70000 [2:56:54<22:02:46, 1.29s/step] Training: 12%|█▏ | 8376/70000 [2:56:56<21:32:14, 1.26s/step] Training: 12%|█▏ | 8377/70000 [2:56:57<21:10:25, 1.24s/step] Training: 12%|█▏ | 8378/70000 [2:56:58<21:40:40, 1.27s/step] Training: 12%|█▏ | 8379/70000 [2:56:59<22:33:05, 1.32s/step] Training: 12%|█▏ | 8380/70000 [2:57:01<21:53:06, 1.28s/step] Training: 12%|█▏ | 8381/70000 [2:57:02<21:36:54, 1.26s/step] Training: 12%|█▏ | 8382/70000 [2:57:03<22:02:13, 1.29s/step] Training: 12%|█▏ | 8383/70000 [2:57:04<21:42:47, 1.27s/step] Training: 12%|█▏ | 8384/70000 [2:57:06<21:17:23, 1.24s/step] Training: 12%|█▏ | 8385/70000 [2:57:07<21:00:29, 1.23s/step] Training: 12%|█▏ | 8386/70000 [2:57:08<21:45:38, 1.27s/step] Training: 12%|█▏ | 8387/70000 [2:57:09<21:30:13, 1.26s/step] Training: 12%|█▏ | 8388/70000 [2:57:11<21:09:08, 1.24s/step] Training: 12%|█▏ | 8389/70000 [2:57:12<21:06:48, 1.23s/step] Training: 12%|█▏ | 8390/70000 [2:57:13<21:37:49, 1.26s/step] Training: 12%|█▏ | 8391/70000 [2:57:14<21:20:23, 1.25s/step] Training: 12%|█▏ | 8392/70000 [2:57:16<21:02:23, 1.23s/step] Training: 12%|█▏ | 8393/70000 [2:57:17<20:50:02, 1.22s/step] Training: 12%|█▏ | 8394/70000 [2:57:18<21:46:42, 1.27s/step] Training: 12%|█▏ | 8395/70000 [2:57:19<21:26:12, 1.25s/step] Training: 12%|█▏ | 8396/70000 [2:57:21<21:08:19, 1.24s/step] Training: 12%|█▏ | 8397/70000 [2:57:22<21:38:57, 1.27s/step] Training: 12%|█▏ | 8398/70000 [2:57:23<22:01:01, 1.29s/step] Training: 12%|█▏ | 8399/70000 [2:57:25<22:20:53, 1.31s/step] Training: 12%|█▏ | 8400/70000 [2:57:26<21:46:39, 1.27s/step]INFO 2026-03-12 23:07:18 ot_train.py:435 step:8K smpl:538K ep:2K epch:7.12 loss:0.166 grdn:12.766 lr:2.4e-05 updt_s:1.252 data_s:0.019 Training: 12%|█▏ | 8401/70000 [2:57:27<21:20:12, 1.25s/step] Training: 12%|█▏ | 8402/70000 [2:57:28<22:00:20, 1.29s/step] Training: 12%|█▏ | 8403/70000 [2:57:30<22:12:16, 1.30s/step] Training: 12%|█▏ | 8404/70000 [2:57:31<21:38:21, 1.26s/step] Training: 12%|█▏ | 8405/70000 [2:57:32<21:54:36, 1.28s/step] Training: 12%|█▏ | 8406/70000 [2:57:33<21:33:09, 1.26s/step] Training: 12%|█▏ | 8407/70000 [2:57:35<21:55:44, 1.28s/step] Training: 12%|█▏ | 8408/70000 [2:57:36<21:26:50, 1.25s/step] Training: 12%|█▏ | 8409/70000 [2:57:37<21:06:24, 1.23s/step] Training: 12%|█▏ | 8410/70000 [2:57:38<21:35:21, 1.26s/step] Training: 12%|█▏ | 8411/70000 [2:57:40<22:27:28, 1.31s/step] Training: 12%|█▏ | 8412/70000 [2:57:41<21:50:27, 1.28s/step] Training: 12%|█▏ | 8413/70000 [2:57:42<21:36:00, 1.26s/step] Training: 12%|█▏ | 8414/70000 [2:57:44<21:58:55, 1.28s/step] Training: 12%|█▏ | 8415/70000 [2:57:45<21:49:10, 1.28s/step] Training: 12%|█▏ | 8416/70000 [2:57:46<21:23:00, 1.25s/step] Training: 12%|█▏ | 8417/70000 [2:57:47<21:04:23, 1.23s/step] Training: 12%|█▏ | 8418/70000 [2:57:49<21:45:55, 1.27s/step] Training: 12%|█▏ | 8419/70000 [2:57:50<21:49:29, 1.28s/step] Training: 12%|█▏ | 8420/70000 [2:57:51<21:23:17, 1.25s/step] Training: 12%|█▏ | 8421/70000 [2:57:52<21:12:51, 1.24s/step] Training: 12%|█▏ | 8422/70000 [2:57:54<21:41:35, 1.27s/step] Training: 12%|█▏ | 8423/70000 [2:57:55<21:23:50, 1.25s/step] Training: 12%|█▏ | 8424/70000 [2:57:56<21:05:16, 1.23s/step] Training: 12%|█▏ | 8425/70000 [2:57:57<20:51:22, 1.22s/step] Training: 12%|█▏ | 8426/70000 [2:57:59<21:40:03, 1.27s/step] Training: 12%|█▏ | 8427/70000 [2:58:00<21:48:17, 1.27s/step] Training: 12%|█▏ | 8428/70000 [2:58:01<21:24:40, 1.25s/step] Training: 12%|█▏ | 8429/70000 [2:58:02<21:45:15, 1.27s/step] Training: 12%|█▏ | 8430/70000 [2:58:04<22:01:28, 1.29s/step] Training: 12%|█▏ | 8431/70000 [2:58:05<22:14:26, 1.30s/step] Training: 12%|█▏ | 8432/70000 [2:58:06<21:40:23, 1.27s/step] Training: 12%|█▏ | 8433/70000 [2:58:07<21:16:18, 1.24s/step] Training: 12%|█▏ | 8434/70000 [2:58:09<21:46:06, 1.27s/step] Training: 12%|█▏ | 8435/70000 [2:58:10<22:11:22, 1.30s/step] Training: 12%|█▏ | 8436/70000 [2:58:11<21:35:00, 1.26s/step] Training: 12%|█▏ | 8437/70000 [2:58:13<21:56:06, 1.28s/step] Training: 12%|█▏ | 8438/70000 [2:58:14<21:33:27, 1.26s/step] Training: 12%|█▏ | 8439/70000 [2:58:15<21:54:22, 1.28s/step] Training: 12%|█▏ | 8440/70000 [2:58:16<21:26:47, 1.25s/step] Training: 12%|█▏ | 8441/70000 [2:58:18<21:06:50, 1.23s/step] Training: 12%|█▏ | 8442/70000 [2:58:19<21:38:16, 1.27s/step] Training: 12%|█▏ | 8443/70000 [2:58:20<22:04:09, 1.29s/step] Training: 12%|█▏ | 8444/70000 [2:58:21<21:29:16, 1.26s/step] Training: 12%|█▏ | 8445/70000 [2:58:23<21:49:45, 1.28s/step] Training: 12%|█▏ | 8446/70000 [2:58:24<22:07:42, 1.29s/step] Training: 12%|█▏ | 8447/70000 [2:58:25<21:48:31, 1.28s/step] Training: 12%|█▏ | 8448/70000 [2:58:27<21:21:30, 1.25s/step] Training: 12%|█▏ | 8449/70000 [2:58:28<21:02:48, 1.23s/step] Training: 12%|█▏ | 8450/70000 [2:58:29<21:45:18, 1.27s/step] Training: 12%|█▏ | 8451/70000 [2:58:30<22:23:45, 1.31s/step] Training: 12%|█▏ | 8452/70000 [2:58:32<21:45:16, 1.27s/step] Training: 12%|█▏ | 8453/70000 [2:58:33<21:26:01, 1.25s/step] Training: 12%|█▏ | 8454/70000 [2:58:34<21:51:14, 1.28s/step] Training: 12%|█▏ | 8455/70000 [2:58:35<21:41:08, 1.27s/step] Training: 12%|█▏ | 8456/70000 [2:58:37<21:19:22, 1.25s/step] Training: 12%|█▏ | 8457/70000 [2:58:38<21:03:57, 1.23s/step] Training: 12%|█▏ | 8458/70000 [2:58:39<21:46:55, 1.27s/step] Training: 12%|█▏ | 8459/70000 [2:58:40<21:34:40, 1.26s/step] Training: 12%|█▏ | 8460/70000 [2:58:42<21:09:48, 1.24s/step] Training: 12%|█▏ | 8461/70000 [2:58:43<21:35:24, 1.26s/step] Training: 12%|█▏ | 8462/70000 [2:58:44<21:57:06, 1.28s/step] Training: 12%|█▏ | 8463/70000 [2:58:46<22:16:34, 1.30s/step] Training: 12%|█▏ | 8464/70000 [2:58:47<21:42:32, 1.27s/step] Training: 12%|█▏ | 8465/70000 [2:58:48<21:17:09, 1.25s/step] Training: 12%|█▏ | 8466/70000 [2:58:49<21:43:51, 1.27s/step] Training: 12%|█▏ | 8467/70000 [2:58:51<22:08:49, 1.30s/step] Training: 12%|█▏ | 8468/70000 [2:58:52<21:32:35, 1.26s/step] Training: 12%|█▏ | 8469/70000 [2:58:53<21:52:25, 1.28s/step] Training: 12%|█▏ | 8470/70000 [2:58:54<21:31:58, 1.26s/step] Training: 12%|█▏ | 8471/70000 [2:58:56<21:56:39, 1.28s/step] Training: 12%|█▏ | 8472/70000 [2:58:57<21:28:09, 1.26s/step] Training: 12%|█▏ | 8473/70000 [2:58:58<21:07:55, 1.24s/step] Training: 12%|█▏ | 8474/70000 [2:58:59<21:38:26, 1.27s/step] Training: 12%|█▏ | 8475/70000 [2:59:01<22:06:55, 1.29s/step] Training: 12%|█▏ | 8476/70000 [2:59:02<21:31:24, 1.26s/step] Training: 12%|█▏ | 8477/70000 [2:59:03<21:52:49, 1.28s/step] Training: 12%|█▏ | 8478/70000 [2:59:05<22:09:45, 1.30s/step] Training: 12%|█▏ | 8479/70000 [2:59:06<21:48:26, 1.28s/step] Training: 12%|█▏ | 8480/70000 [2:59:07<21:21:11, 1.25s/step] Training: 12%|█▏ | 8481/70000 [2:59:08<21:03:32, 1.23s/step] Training: 12%|█▏ | 8482/70000 [2:59:10<21:59:45, 1.29s/step] Training: 12%|█▏ | 8483/70000 [2:59:11<22:46:52, 1.33s/step] Training: 12%|█▏ | 8484/70000 [2:59:12<22:04:35, 1.29s/step] Training: 12%|█▏ | 8485/70000 [2:59:14<21:38:11, 1.27s/step] Training: 12%|█▏ | 8486/70000 [2:59:15<21:58:21, 1.29s/step] Training: 12%|█▏ | 8487/70000 [2:59:16<21:40:23, 1.27s/step] Training: 12%|█▏ | 8488/70000 [2:59:17<21:17:25, 1.25s/step] Training: 12%|█▏ | 8489/70000 [2:59:18<20:58:02, 1.23s/step] Training: 12%|█▏ | 8490/70000 [2:59:20<21:37:59, 1.27s/step] Training: 12%|█▏ | 8491/70000 [2:59:21<21:28:29, 1.26s/step] Training: 12%|█▏ | 8492/70000 [2:59:22<21:04:11, 1.23s/step] Training: 12%|█▏ | 8493/70000 [2:59:24<21:36:22, 1.26s/step] Training: 12%|█▏ | 8494/70000 [2:59:25<21:54:55, 1.28s/step] Training: 12%|█▏ | 8495/70000 [2:59:26<21:26:38, 1.26s/step] Training: 12%|█▏ | 8496/70000 [2:59:27<21:46:11, 1.27s/step] Training: 12%|█▏ | 8497/70000 [2:59:29<21:20:12, 1.25s/step] Training: 12%|█▏ | 8498/70000 [2:59:30<21:49:40, 1.28s/step] Training: 12%|█▏ | 8499/70000 [2:59:31<22:16:07, 1.30s/step] Training: 12%|█▏ | 8500/70000 [2:59:32<21:38:19, 1.27s/step]INFO 2026-03-12 23:09:25 ot_train.py:435 step:8K smpl:544K ep:2K epch:7.20 loss:0.175 grdn:13.344 lr:2.4e-05 updt_s:1.246 data_s:0.019 Training: 12%|█▏ | 8501/70000 [2:59:34<22:00:38, 1.29s/step] Training: 12%|█▏ | 8502/70000 [2:59:35<21:36:06, 1.26s/step] Training: 12%|█▏ | 8503/70000 [2:59:36<21:12:31, 1.24s/step] Training: 12%|█▏ | 8504/70000 [2:59:37<20:55:08, 1.22s/step] Training: 12%|█▏ | 8505/70000 [2:59:39<20:43:35, 1.21s/step] Training: 12%|█▏ | 8506/70000 [2:59:40<21:16:53, 1.25s/step] Training: 12%|█▏ | 8507/70000 [2:59:41<21:48:07, 1.28s/step] Training: 12%|█▏ | 8508/70000 [2:59:42<21:18:31, 1.25s/step] Training: 12%|█▏ | 8509/70000 [2:59:44<21:44:03, 1.27s/step] Training: 12%|█▏ | 8510/70000 [2:59:45<22:04:05, 1.29s/step] Training: 12%|█▏ | 8511/70000 [2:59:46<21:46:15, 1.27s/step] Training: 12%|█▏ | 8512/70000 [2:59:48<21:18:26, 1.25s/step] Training: 12%|█▏ | 8513/70000 [2:59:49<20:59:14, 1.23s/step] Training: 12%|█▏ | 8514/70000 [2:59:50<21:40:11, 1.27s/step] Training: 12%|█▏ | 8515/70000 [2:59:51<22:14:41, 1.30s/step] Training: 12%|█▏ | 8516/70000 [2:59:53<21:35:55, 1.26s/step] Training: 12%|█▏ | 8517/70000 [2:59:54<21:18:43, 1.25s/step] Training: 12%|█▏ | 8518/70000 [2:59:55<21:44:49, 1.27s/step] Training: 12%|█▏ | 8519/70000 [2:59:56<21:30:39, 1.26s/step] Training: 12%|█▏ | 8520/70000 [2:59:58<21:08:21, 1.24s/step] Training: 12%|█▏ | 8521/70000 [2:59:59<20:53:41, 1.22s/step] Training: 12%|█▏ | 8522/70000 [3:00:00<21:24:44, 1.25s/step] Training: 12%|█▏ | 8523/70000 [3:00:01<21:19:28, 1.25s/step] Training: 12%|█▏ | 8524/70000 [3:00:03<20:58:22, 1.23s/step] Training: 12%|█▏ | 8525/70000 [3:00:04<21:28:50, 1.26s/step] Training: 12%|█▏ | 8526/70000 [3:00:05<21:49:06, 1.28s/step] Training: 12%|█▏ | 8527/70000 [3:00:06<21:25:19, 1.25s/step] Training: 12%|█▏ | 8528/70000 [3:00:08<21:42:32, 1.27s/step] Training: 12%|█▏ | 8529/70000 [3:00:09<21:19:21, 1.25s/step] Training: 12%|█▏ | 8530/70000 [3:00:10<21:49:43, 1.28s/step] Training: 12%|█▏ | 8531/70000 [3:00:12<22:12:57, 1.30s/step] Training: 12%|█▏ | 8532/70000 [3:00:13<21:35:13, 1.26s/step] Training: 12%|█▏ | 8533/70000 [3:00:14<21:55:41, 1.28s/step] Training: 12%|█▏ | 8534/70000 [3:00:15<21:35:34, 1.26s/step] Training: 12%|█▏ | 8535/70000 [3:00:17<21:52:24, 1.28s/step] Training: 12%|█▏ | 8536/70000 [3:00:18<21:23:59, 1.25s/step] Training: 12%|█▏ | 8537/70000 [3:00:19<21:03:53, 1.23s/step] Training: 12%|█▏ | 8538/70000 [3:00:20<21:33:35, 1.26s/step] Training: 12%|█▏ | 8539/70000 [3:00:22<22:03:30, 1.29s/step] Training: 12%|█▏ | 8540/70000 [3:00:23<21:27:48, 1.26s/step] Training: 12%|█▏ | 8541/70000 [3:00:24<21:48:32, 1.28s/step] Training: 12%|█▏ | 8542/70000 [3:00:26<22:05:32, 1.29s/step] Training: 12%|█▏ | 8543/70000 [3:00:27<21:40:44, 1.27s/step] Training: 12%|█▏ | 8544/70000 [3:00:28<21:15:03, 1.24s/step] Training: 12%|█▏ | 8545/70000 [3:00:29<20:58:12, 1.23s/step] Training: 12%|█▏ | 8546/70000 [3:00:30<21:39:46, 1.27s/step] Training: 12%|█▏ | 8547/70000 [3:00:32<22:14:50, 1.30s/step] Training: 12%|█▏ | 8548/70000 [3:00:33<21:36:50, 1.27s/step] Training: 12%|█▏ | 8549/70000 [3:00:34<21:20:37, 1.25s/step] Training: 12%|█▏ | 8550/70000 [3:00:36<21:44:35, 1.27s/step] Training: 12%|█▏ | 8551/70000 [3:00:37<21:32:16, 1.26s/step] Training: 12%|█▏ | 8552/70000 [3:00:38<21:09:45, 1.24s/step] Training: 12%|█▏ | 8553/70000 [3:00:39<20:54:08, 1.22s/step] Training: 12%|█▏ | 8554/70000 [3:00:41<21:26:53, 1.26s/step] Training: 12%|█▏ | 8555/70000 [3:00:42<21:23:06, 1.25s/step] Training: 12%|█▏ | 8556/70000 [3:00:43<21:01:29, 1.23s/step] Training: 12%|█▏ | 8557/70000 [3:00:44<21:34:25, 1.26s/step] Training: 12%|█▏ | 8558/70000 [3:00:46<21:52:42, 1.28s/step] Training: 12%|█▏ | 8559/70000 [3:00:47<21:23:51, 1.25s/step] Training: 12%|█▏ | 8560/70000 [3:00:48<21:42:53, 1.27s/step] Training: 12%|█▏ | 8561/70000 [3:00:49<21:17:04, 1.25s/step] Training: 12%|█▏ | 8562/70000 [3:00:51<21:50:27, 1.28s/step] Training: 12%|█▏ | 8563/70000 [3:00:52<22:41:08, 1.33s/step] Training: 12%|█▏ | 8564/70000 [3:00:53<21:57:51, 1.29s/step] Training: 12%|█▏ | 8565/70000 [3:00:55<22:11:54, 1.30s/step] Training: 12%|█▏ | 8566/70000 [3:00:56<21:44:24, 1.27s/step] Training: 12%|█▏ | 8567/70000 [3:00:57<22:03:14, 1.29s/step] Training: 12%|█▏ | 8568/70000 [3:00:58<21:30:54, 1.26s/step] Training: 12%|█▏ | 8569/70000 [3:01:00<21:08:40, 1.24s/step] Training: 12%|█▏ | 8570/70000 [3:01:01<21:34:19, 1.26s/step] Training: 12%|█▏ | 8571/70000 [3:01:02<22:34:11, 1.32s/step] Training: 12%|█▏ | 8572/70000 [3:01:04<21:49:34, 1.28s/step] Training: 12%|█▏ | 8573/70000 [3:01:05<22:07:03, 1.30s/step] Training: 12%|█▏ | 8574/70000 [3:01:06<22:16:48, 1.31s/step] Training: 12%|█▏ | 8575/70000 [3:01:07<21:45:42, 1.28s/step] Training: 12%|█▏ | 8576/70000 [3:01:09<21:19:06, 1.25s/step] Training: 12%|█▏ | 8577/70000 [3:01:10<21:00:12, 1.23s/step] Training: 12%|█▏ | 8578/70000 [3:01:11<21:43:50, 1.27s/step] Training: 12%|█▏ | 8579/70000 [3:01:13<22:26:01, 1.31s/step] Training: 12%|█▏ | 8580/70000 [3:01:14<21:43:32, 1.27s/step] Training: 12%|█▏ | 8581/70000 [3:01:15<21:24:07, 1.25s/step] Training: 12%|█▏ | 8582/70000 [3:01:16<21:49:15, 1.28s/step] Training: 12%|█▏ | 8583/70000 [3:01:18<21:36:54, 1.27s/step] Training: 12%|█▏ | 8584/70000 [3:01:19<21:14:50, 1.25s/step] Training: 12%|█▏ | 8585/70000 [3:01:20<20:58:12, 1.23s/step] Training: 12%|█▏ | 8586/70000 [3:01:21<21:24:39, 1.26s/step] Training: 12%|█▏ | 8587/70000 [3:01:22<21:22:22, 1.25s/step] Training: 12%|█▏ | 8588/70000 [3:01:24<20:59:49, 1.23s/step] Training: 12%|█▏ | 8589/70000 [3:01:25<21:32:00, 1.26s/step] Training: 12%|█▏ | 8590/70000 [3:01:26<21:59:29, 1.29s/step] Training: 12%|█▏ | 8591/70000 [3:01:28<21:28:24, 1.26s/step] Training: 12%|█▏ | 8592/70000 [3:01:29<21:45:19, 1.28s/step] Training: 12%|█▏ | 8593/70000 [3:01:30<21:18:34, 1.25s/step] Training: 12%|█▏ | 8594/70000 [3:01:31<21:57:05, 1.29s/step] Training: 12%|█▏ | 8595/70000 [3:01:33<22:15:42, 1.31s/step] Training: 12%|█▏ | 8596/70000 [3:01:34<21:37:16, 1.27s/step] Training: 12%|█▏ | 8597/70000 [3:01:35<21:55:49, 1.29s/step] Training: 12%|█▏ | 8598/70000 [3:01:36<21:32:55, 1.26s/step] Training: 12%|█▏ | 8599/70000 [3:01:38<21:57:00, 1.29s/step] Training: 12%|█▏ | 8600/70000 [3:01:39<21:27:01, 1.26s/step]INFO 2026-03-12 23:11:31 ot_train.py:435 step:9K smpl:550K ep:2K epch:7.29 loss:0.176 grdn:13.346 lr:2.4e-05 updt_s:1.244 data_s:0.019 Training: 12%|█▏ | 8601/70000 [3:01:40<21:06:46, 1.24s/step] Training: 12%|█▏ | 8602/70000 [3:01:42<21:33:22, 1.26s/step] Training: 12%|█▏ | 8603/70000 [3:01:43<22:01:12, 1.29s/step] Training: 12%|█▏ | 8604/70000 [3:01:44<21:26:22, 1.26s/step] Training: 12%|█▏ | 8605/70000 [3:01:45<21:50:32, 1.28s/step] Training: 12%|█▏ | 8606/70000 [3:01:47<22:08:34, 1.30s/step] Training: 12%|█▏ | 8607/70000 [3:01:48<21:39:09, 1.27s/step] Training: 12%|█▏ | 8608/70000 [3:01:49<21:14:39, 1.25s/step] Training: 12%|█▏ | 8609/70000 [3:01:50<20:56:32, 1.23s/step] Training: 12%|█▏ | 8610/70000 [3:01:52<21:41:13, 1.27s/step] Training: 12%|█▏ | 8611/70000 [3:01:53<22:17:36, 1.31s/step] Training: 12%|█▏ | 8612/70000 [3:01:54<21:38:29, 1.27s/step] Training: 12%|█▏ | 8613/70000 [3:01:55<21:25:17, 1.26s/step] Training: 12%|█▏ | 8614/70000 [3:01:57<21:48:42, 1.28s/step] Training: 12%|█▏ | 8615/70000 [3:01:58<21:35:29, 1.27s/step] Training: 12%|█▏ | 8616/70000 [3:01:59<21:12:10, 1.24s/step] Training: 12%|█▏ | 8617/70000 [3:02:00<20:58:11, 1.23s/step] Training: 12%|█▏ | 8618/70000 [3:02:02<21:26:19, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=11445 Training: 12%|█▏ | 8619/70000 [3:02:03<21:51:06, 1.28s/step] Training: 12%|█▏ | 8620/70000 [3:02:04<21:25:48, 1.26s/step] Training: 12%|█▏ | 8621/70000 [3:02:06<21:48:40, 1.28s/step] Training: 12%|█▏ | 8622/70000 [3:02:07<22:06:12, 1.30s/step] Training: 12%|█▏ | 8623/70000 [3:02:08<21:33:23, 1.26s/step] Training: 12%|█▏ | 8624/70000 [3:02:09<21:48:31, 1.28s/step] Training: 12%|█▏ | 8625/70000 [3:02:11<21:22:36, 1.25s/step] Training: 12%|█▏ | 8626/70000 [3:02:12<21:54:21, 1.28s/step] Training: 12%|█▏ | 8627/70000 [3:02:13<22:51:11, 1.34s/step] Training: 12%|█▏ | 8628/70000 [3:02:15<22:02:01, 1.29s/step] Training: 12%|█▏ | 8629/70000 [3:02:16<22:12:49, 1.30s/step] Training: 12%|█▏ | 8630/70000 [3:02:17<21:45:06, 1.28s/step] Training: 12%|█▏ | 8631/70000 [3:02:18<21:18:04, 1.25s/step] Training: 12%|█▏ | 8632/70000 [3:02:20<21:00:23, 1.23s/step] Training: 12%|█▏ | 8633/70000 [3:02:21<20:47:48, 1.22s/step] Training: 12%|█▏ | 8634/70000 [3:02:22<21:20:36, 1.25s/step] Training: 12%|█▏ | 8635/70000 [3:02:23<21:53:32, 1.28s/step] Training: 12%|█▏ | 8636/70000 [3:02:25<21:21:51, 1.25s/step] Training: 12%|█▏ | 8637/70000 [3:02:26<21:47:58, 1.28s/step] Training: 12%|█▏ | 8638/70000 [3:02:27<22:05:34, 1.30s/step] Training: 12%|█▏ | 8639/70000 [3:02:29<21:44:50, 1.28s/step] Training: 12%|█▏ | 8640/70000 [3:02:30<21:17:48, 1.25s/step] Training: 12%|█▏ | 8641/70000 [3:02:31<20:58:31, 1.23s/step] Training: 12%|█▏ | 8642/70000 [3:02:32<21:37:26, 1.27s/step] Training: 12%|█▏ | 8643/70000 [3:02:34<21:51:58, 1.28s/step] Training: 12%|█▏ | 8644/70000 [3:02:35<22:10:58, 1.30s/step] Training: 12%|█▏ | 8645/70000 [3:02:36<21:38:19, 1.27s/step] Training: 12%|█▏ | 8646/70000 [3:02:37<21:58:46, 1.29s/step] Training: 12%|█▏ | 8647/70000 [3:02:39<21:37:04, 1.27s/step] Training: 12%|█▏ | 8648/70000 [3:02:40<21:11:58, 1.24s/step] Training: 12%|█▏ | 8649/70000 [3:02:41<20:55:31, 1.23s/step] Training: 12%|█▏ | 8650/70000 [3:02:42<21:25:57, 1.26s/step] Training: 12%|█▏ | 8651/70000 [3:02:44<21:48:23, 1.28s/step] Training: 12%|█▏ | 8652/70000 [3:02:45<21:20:29, 1.25s/step] Training: 12%|█▏ | 8653/70000 [3:02:46<21:45:40, 1.28s/step] Training: 12%|█▏ | 8654/70000 [3:02:48<22:02:24, 1.29s/step] Training: 12%|█▏ | 8655/70000 [3:02:49<22:11:28, 1.30s/step] Training: 12%|█▏ | 8656/70000 [3:02:50<21:36:48, 1.27s/step] Training: 12%|█▏ | 8657/70000 [3:02:51<21:12:58, 1.25s/step] Training: 12%|█▏ | 8658/70000 [3:02:53<21:56:07, 1.29s/step] Training: 12%|█▏ | 8659/70000 [3:02:54<22:06:13, 1.30s/step] Training: 12%|█▏ | 8660/70000 [3:02:55<21:43:06, 1.27s/step] Training: 12%|█▏ | 8661/70000 [3:02:57<21:57:37, 1.29s/step] Training: 12%|█▏ | 8662/70000 [3:02:58<21:35:52, 1.27s/step] Training: 12%|█▏ | 8663/70000 [3:02:59<21:55:13, 1.29s/step] Training: 12%|█▏ | 8664/70000 [3:03:00<21:24:07, 1.26s/step] Training: 12%|█▏ | 8665/70000 [3:03:01<21:03:36, 1.24s/step] Training: 12%|█▏ | 8666/70000 [3:03:03<21:31:16, 1.26s/step] Training: 12%|█▏ | 8667/70000 [3:03:04<21:53:10, 1.28s/step] Training: 12%|█▏ | 8668/70000 [3:03:05<21:48:15, 1.28s/step] Training: 12%|█▏ | 8669/70000 [3:03:07<21:57:34, 1.29s/step] Training: 12%|█▏ | 8670/70000 [3:03:08<22:11:23, 1.30s/step] Training: 12%|█▏ | 8671/70000 [3:03:09<21:48:54, 1.28s/step] Training: 12%|█▏ | 8672/70000 [3:03:10<21:21:57, 1.25s/step] Training: 12%|█▏ | 8673/70000 [3:03:12<21:01:20, 1.23s/step] Training: 12%|█▏ | 8674/70000 [3:03:13<21:37:35, 1.27s/step] Training: 12%|█▏ | 8675/70000 [3:03:14<22:02:29, 1.29s/step] Training: 12%|█▏ | 8676/70000 [3:03:16<22:22:19, 1.31s/step] Training: 12%|█▏ | 8677/70000 [3:03:17<21:44:40, 1.28s/step] Training: 12%|█▏ | 8678/70000 [3:03:18<22:12:28, 1.30s/step] Training: 12%|█▏ | 8679/70000 [3:03:19<21:48:54, 1.28s/step] Training: 12%|█▏ | 8680/70000 [3:03:21<21:20:59, 1.25s/step] Training: 12%|█▏ | 8681/70000 [3:03:22<21:03:28, 1.24s/step] Training: 12%|█▏ | 8682/70000 [3:03:23<21:31:00, 1.26s/step] Training: 12%|█▏ | 8683/70000 [3:03:25<21:51:13, 1.28s/step] Training: 12%|█▏ | 8684/70000 [3:03:26<22:26:19, 1.32s/step] Training: 12%|█▏ | 8685/70000 [3:03:27<22:29:09, 1.32s/step] Training: 12%|█▏ | 8686/70000 [3:03:29<22:32:45, 1.32s/step] Training: 12%|█▏ | 8687/70000 [3:03:30<22:36:28, 1.33s/step] Training: 12%|█▏ | 8688/70000 [3:03:31<21:53:57, 1.29s/step] Training: 12%|█▏ | 8689/70000 [3:03:32<21:24:17, 1.26s/step] Training: 12%|█▏ | 8690/70000 [3:03:34<21:14:36, 1.25s/step] Training: 12%|█▏ | 8691/70000 [3:03:35<21:46:56, 1.28s/step] Training: 12%|█▏ | 8692/70000 [3:03:36<22:38:06, 1.33s/step] Training: 12%|█▏ | 8693/70000 [3:03:38<22:38:00, 1.33s/step] Training: 12%|█▏ | 8694/70000 [3:03:39<21:59:38, 1.29s/step] Training: 12%|█▏ | 8695/70000 [3:03:40<22:09:59, 1.30s/step] Training: 12%|█▏ | 8696/70000 [3:03:41<21:35:22, 1.27s/step] Training: 12%|█▏ | 8697/70000 [3:03:43<21:14:03, 1.25s/step] Training: 12%|█▏ | 8698/70000 [3:03:44<21:01:42, 1.23s/step] Training: 12%|█▏ | 8699/70000 [3:03:45<21:32:02, 1.26s/step] Training: 12%|█▏ | 8700/70000 [3:03:46<21:30:08, 1.26s/step]INFO 2026-03-12 23:13:38 ot_train.py:435 step:9K smpl:557K ep:2K epch:7.37 loss:0.186 grdn:14.226 lr:2.4e-05 updt_s:1.253 data_s:0.019 Training: 12%|█▏ | 8701/70000 [3:03:48<21:49:52, 1.28s/step] Training: 12%|█▏ | 8702/70000 [3:03:49<22:04:27, 1.30s/step] Training: 12%|█▏ | 8703/70000 [3:03:50<21:45:21, 1.28s/step] Training: 12%|█▏ | 8704/70000 [3:03:51<21:17:13, 1.25s/step] Training: 12%|█▏ | 8705/70000 [3:03:53<20:59:19, 1.23s/step] Training: 12%|█▏ | 8706/70000 [3:03:54<21:41:00, 1.27s/step] Training: 12%|█▏ | 8707/70000 [3:03:55<22:07:03, 1.30s/step] Training: 12%|█▏ | 8708/70000 [3:03:57<21:34:14, 1.27s/step] Training: 12%|█▏ | 8709/70000 [3:03:58<21:56:02, 1.29s/step] Training: 12%|█▏ | 8710/70000 [3:03:59<22:04:30, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=11445 Training: 12%|█▏ | 8711/70000 [3:04:00<21:42:51, 1.28s/step] Training: 12%|█▏ | 8712/70000 [3:04:02<21:15:36, 1.25s/step] Training: 12%|█▏ | 8713/70000 [3:04:03<20:57:36, 1.23s/step] Training: 12%|█▏ | 8714/70000 [3:04:04<21:27:36, 1.26s/step] Training: 12%|█▏ | 8715/70000 [3:04:05<21:47:30, 1.28s/step] Training: 12%|█▏ | 8716/70000 [3:04:07<21:21:16, 1.25s/step] Training: 12%|█▏ | 8717/70000 [3:04:08<22:04:41, 1.30s/step] Training: 12%|█▏ | 8718/70000 [3:04:09<22:16:56, 1.31s/step] Training: 12%|█▏ | 8719/70000 [3:04:11<22:24:28, 1.32s/step] Training: 12%|█▏ | 8720/70000 [3:04:12<21:45:38, 1.28s/step] Training: 12%|█▏ | 8721/70000 [3:04:13<21:17:17, 1.25s/step] Training: 12%|█▏ | 8722/70000 [3:04:14<21:52:58, 1.29s/step] Training: 12%|█▏ | 8723/70000 [3:04:16<22:02:05, 1.29s/step] Training: 12%|█▏ | 8724/70000 [3:04:17<21:31:00, 1.26s/step] Training: 12%|█▏ | 8725/70000 [3:04:18<21:51:03, 1.28s/step] Training: 12%|█▏ | 8726/70000 [3:04:20<21:35:03, 1.27s/step] Training: 12%|█▏ | 8727/70000 [3:04:21<21:56:30, 1.29s/step] Training: 12%|█▏ | 8728/70000 [3:04:22<21:25:30, 1.26s/step] Training: 12%|█▏ | 8729/70000 [3:04:23<21:03:55, 1.24s/step] Training: 12%|█▏ | 8730/70000 [3:04:25<21:31:13, 1.26s/step] Training: 12%|█▏ | 8731/70000 [3:04:26<21:53:41, 1.29s/step] Training: 12%|█▏ | 8732/70000 [3:04:27<21:25:57, 1.26s/step] Training: 12%|█▏ | 8733/70000 [3:04:28<21:53:00, 1.29s/step] Training: 12%|█▏ | 8734/70000 [3:04:30<22:01:40, 1.29s/step] Training: 12%|█▏ | 8735/70000 [3:04:31<21:37:53, 1.27s/step] Training: 12%|█▏ | 8736/70000 [3:04:32<21:12:57, 1.25s/step] Training: 12%|█▏ | 8737/70000 [3:04:33<20:55:29, 1.23s/step] Training: 12%|█▏ | 8738/70000 [3:04:35<20:52:01, 1.23s/step] Training: 12%|█▏ | 8739/70000 [3:04:36<22:03:58, 1.30s/step] Training: 12%|█▏ | 8740/70000 [3:04:37<21:31:31, 1.26s/step] Training: 12%|█▏ | 8741/70000 [3:04:39<21:56:24, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=4949 Training: 12%|█▏ | 8742/70000 [3:04:40<22:04:37, 1.30s/step] Training: 12%|█▏ | 8743/70000 [3:04:41<21:40:13, 1.27s/step] Training: 12%|█▏ | 8744/70000 [3:04:42<21:16:23, 1.25s/step] Training: 12%|█▏ | 8745/70000 [3:04:44<20:58:13, 1.23s/step] Training: 12%|█▏ | 8746/70000 [3:04:45<21:25:26, 1.26s/step] Training: 12%|█▏ | 8747/70000 [3:04:46<21:48:40, 1.28s/step] Training: 12%|█▏ | 8748/70000 [3:04:47<21:23:03, 1.26s/step] Training: 12%|█▏ | 8749/70000 [3:04:49<22:00:31, 1.29s/step] Training: 12%|█▎ | 8750/70000 [3:04:50<22:08:27, 1.30s/step] Training: 13%|█▎ | 8751/70000 [3:04:51<22:17:17, 1.31s/step] Training: 13%|█▎ | 8752/70000 [3:04:53<21:39:59, 1.27s/step] Training: 13%|█▎ | 8753/70000 [3:04:54<21:14:13, 1.25s/step] Training: 13%|█▎ | 8754/70000 [3:04:55<21:00:38, 1.23s/step] Training: 13%|█▎ | 8755/70000 [3:04:56<22:02:22, 1.30s/step] Training: 13%|█▎ | 8756/70000 [3:04:58<21:29:22, 1.26s/step] Training: 13%|█▎ | 8757/70000 [3:04:59<21:52:39, 1.29s/step] Training: 13%|█▎ | 8758/70000 [3:05:00<21:35:39, 1.27s/step] Training: 13%|█▎ | 8759/70000 [3:05:01<21:52:36, 1.29s/step] Training: 13%|█▎ | 8760/70000 [3:05:03<21:23:40, 1.26s/step] Training: 13%|█▎ | 8761/70000 [3:05:04<21:01:59, 1.24s/step] Training: 13%|█▎ | 8762/70000 [3:05:05<21:00:14, 1.23s/step] Training: 13%|█▎ | 8763/70000 [3:05:07<21:54:57, 1.29s/step] Training: 13%|█▎ | 8764/70000 [3:05:08<21:24:58, 1.26s/step] Training: 13%|█▎ | 8765/70000 [3:05:09<21:53:27, 1.29s/step] Training: 13%|█▎ | 8766/70000 [3:05:10<22:06:36, 1.30s/step] Training: 13%|█▎ | 8767/70000 [3:05:12<21:43:51, 1.28s/step] Training: 13%|█▎ | 8768/70000 [3:05:13<21:17:11, 1.25s/step] Training: 13%|█▎ | 8769/70000 [3:05:14<20:58:14, 1.23s/step] Training: 13%|█▎ | 8770/70000 [3:05:15<20:48:03, 1.22s/step] Training: 13%|█▎ | 8771/70000 [3:05:17<22:07:33, 1.30s/step] Training: 13%|█▎ | 8772/70000 [3:05:18<21:33:51, 1.27s/step] Training: 13%|█▎ | 8773/70000 [3:05:19<22:00:27, 1.29s/step] Training: 13%|█▎ | 8774/70000 [3:05:21<22:12:13, 1.31s/step] Training: 13%|█▎ | 8775/70000 [3:05:22<21:40:52, 1.27s/step] Training: 13%|█▎ | 8776/70000 [3:05:23<21:15:23, 1.25s/step] Training: 13%|█▎ | 8777/70000 [3:05:24<20:59:57, 1.23s/step] Training: 13%|█▎ | 8778/70000 [3:05:25<21:30:12, 1.26s/step] Training: 13%|█▎ | 8779/70000 [3:05:27<21:53:24, 1.29s/step] Training: 13%|█▎ | 8780/70000 [3:05:28<21:23:11, 1.26s/step] Training: 13%|█▎ | 8781/70000 [3:05:29<21:55:10, 1.29s/step] Training: 13%|█▎ | 8782/70000 [3:05:31<22:04:50, 1.30s/step] Training: 13%|█▎ | 8783/70000 [3:05:32<22:15:09, 1.31s/step] Training: 13%|█▎ | 8784/70000 [3:05:33<21:38:31, 1.27s/step] Training: 13%|█▎ | 8785/70000 [3:05:34<21:12:44, 1.25s/step] Training: 13%|█▎ | 8786/70000 [3:05:36<20:59:58, 1.23s/step] Training: 13%|█▎ | 8787/70000 [3:05:37<21:36:08, 1.27s/step] Training: 13%|█▎ | 8788/70000 [3:05:38<21:11:52, 1.25s/step] Training: 13%|█▎ | 8789/70000 [3:05:39<21:35:49, 1.27s/step] Training: 13%|█▎ | 8790/70000 [3:05:41<21:19:04, 1.25s/step] Training: 13%|█▎ | 8791/70000 [3:05:42<21:39:38, 1.27s/step] Training: 13%|█▎ | 8792/70000 [3:05:43<21:13:25, 1.25s/step] Training: 13%|█▎ | 8793/70000 [3:05:44<20:56:04, 1.23s/step] Training: 13%|█▎ | 8794/70000 [3:05:46<20:55:42, 1.23s/step] Training: 13%|█▎ | 8795/70000 [3:05:47<21:28:07, 1.26s/step] Training: 13%|█▎ | 8796/70000 [3:05:48<21:06:18, 1.24s/step] Training: 13%|█▎ | 8797/70000 [3:05:50<21:42:44, 1.28s/step] Training: 13%|█▎ | 8798/70000 [3:05:51<22:35:14, 1.33s/step] Training: 13%|█▎ | 8799/70000 [3:05:52<22:04:56, 1.30s/step] Training: 13%|█▎ | 8800/70000 [3:05:53<21:31:28, 1.27s/step]INFO 2026-03-12 23:15:46 ot_train.py:435 step:9K smpl:563K ep:2K epch:7.46 loss:0.172 grdn:13.297 lr:2.4e-05 updt_s:1.249 data_s:0.019 Training: 13%|█▎ | 8801/70000 [3:05:55<21:08:52, 1.24s/step] Training: 13%|█▎ | 8802/70000 [3:05:56<20:53:02, 1.23s/step] Training: 13%|█▎ | 8803/70000 [3:05:57<22:05:13, 1.30s/step] Training: 13%|█▎ | 8804/70000 [3:05:58<21:32:04, 1.27s/step] Training: 13%|█▎ | 8805/70000 [3:06:00<22:03:00, 1.30s/step] Training: 13%|█▎ | 8806/70000 [3:06:01<22:38:23, 1.33s/step] Training: 13%|█▎ | 8807/70000 [3:06:02<22:01:25, 1.30s/step] Training: 13%|█▎ | 8808/70000 [3:06:04<21:28:32, 1.26s/step] Training: 13%|█▎ | 8809/70000 [3:06:05<21:06:36, 1.24s/step] Training: 13%|█▎ | 8810/70000 [3:06:06<21:31:34, 1.27s/step] Training: 13%|█▎ | 8811/70000 [3:06:07<21:52:48, 1.29s/step] Training: 13%|█▎ | 8812/70000 [3:06:09<21:23:50, 1.26s/step] Training: 13%|█▎ | 8813/70000 [3:06:10<21:52:57, 1.29s/step] Training: 13%|█▎ | 8814/70000 [3:06:11<22:03:51, 1.30s/step] Training: 13%|█▎ | 8815/70000 [3:06:13<22:17:28, 1.31s/step] Training: 13%|█▎ | 8816/70000 [3:06:14<21:40:11, 1.28s/step] Training: 13%|█▎ | 8817/70000 [3:06:15<21:13:18, 1.25s/step] Training: 13%|█▎ | 8818/70000 [3:06:16<20:59:35, 1.24s/step] Training: 13%|█▎ | 8819/70000 [3:06:18<21:27:59, 1.26s/step] Training: 13%|█▎ | 8820/70000 [3:06:19<21:04:35, 1.24s/step] Training: 13%|█▎ | 8821/70000 [3:06:20<22:02:30, 1.30s/step] Training: 13%|█▎ | 8822/70000 [3:06:21<21:33:30, 1.27s/step] Training: 13%|█▎ | 8823/70000 [3:06:23<21:52:04, 1.29s/step] Training: 13%|█▎ | 8824/70000 [3:06:24<21:24:08, 1.26s/step] Training: 13%|█▎ | 8825/70000 [3:06:25<21:02:33, 1.24s/step] Training: 13%|█▎ | 8826/70000 [3:06:26<20:59:21, 1.24s/step] Training: 13%|█▎ | 8827/70000 [3:06:28<21:31:41, 1.27s/step] Training: 13%|█▎ | 8828/70000 [3:06:29<21:09:38, 1.25s/step] Training: 13%|█▎ | 8829/70000 [3:06:30<21:56:24, 1.29s/step] Training: 13%|█▎ | 8830/70000 [3:06:32<22:02:45, 1.30s/step] Training: 13%|█▎ | 8831/70000 [3:06:33<21:41:03, 1.28s/step] Training: 13%|█▎ | 8832/70000 [3:06:34<21:14:05, 1.25s/step] Training: 13%|█▎ | 8833/70000 [3:06:35<20:55:37, 1.23s/step] Training: 13%|█▎ | 8834/70000 [3:06:36<20:41:57, 1.22s/step] Training: 13%|█▎ | 8835/70000 [3:06:38<21:55:53, 1.29s/step] Training: 13%|█▎ | 8836/70000 [3:06:39<21:25:11, 1.26s/step] Training: 13%|█▎ | 8837/70000 [3:06:40<21:53:12, 1.29s/step] Training: 13%|█▎ | 8838/70000 [3:06:42<22:02:03, 1.30s/step] Training: 13%|█▎ | 8839/70000 [3:06:43<21:38:05, 1.27s/step] Training: 13%|█▎ | 8840/70000 [3:06:44<21:12:08, 1.25s/step] Training: 13%|█▎ | 8841/70000 [3:06:45<20:53:32, 1.23s/step] Training: 13%|█▎ | 8842/70000 [3:06:47<21:26:39, 1.26s/step] Training: 13%|█▎ | 8843/70000 [3:06:48<21:48:23, 1.28s/step] Training: 13%|█▎ | 8844/70000 [3:06:49<21:19:07, 1.25s/step] Training: 13%|█▎ | 8845/70000 [3:06:51<21:49:05, 1.28s/step] Training: 13%|█▎ | 8846/70000 [3:06:52<21:59:42, 1.29s/step] Training: 13%|█▎ | 8847/70000 [3:06:53<22:16:09, 1.31s/step] Training: 13%|█▎ | 8848/70000 [3:06:54<21:37:20, 1.27s/step] Training: 13%|█▎ | 8849/70000 [3:06:56<21:11:27, 1.25s/step] Training: 13%|█▎ | 8850/70000 [3:06:57<21:01:34, 1.24s/step] Training: 13%|█▎ | 8851/70000 [3:06:58<21:30:24, 1.27s/step] Training: 13%|█▎ | 8852/70000 [3:06:59<21:05:38, 1.24s/step] Training: 13%|█▎ | 8853/70000 [3:07:01<21:33:43, 1.27s/step] Training: 13%|█▎ | 8854/70000 [3:07:02<21:16:52, 1.25s/step] Training: 13%|█▎ | 8855/70000 [3:07:03<21:40:23, 1.28s/step] Training: 13%|█▎ | 8856/70000 [3:07:04<21:14:03, 1.25s/step] Training: 13%|█▎ | 8857/70000 [3:07:06<20:56:52, 1.23s/step] Training: 13%|█▎ | 8858/70000 [3:07:07<20:54:16, 1.23s/step] Training: 13%|█▎ | 8859/70000 [3:07:08<21:25:49, 1.26s/step] Training: 13%|█▎ | 8860/70000 [3:07:09<21:04:02, 1.24s/step] Training: 13%|█▎ | 8861/70000 [3:07:11<21:01:31, 1.24s/step] Training: 13%|█▎ | 8862/70000 [3:07:12<22:06:39, 1.30s/step] Training: 13%|█▎ | 8863/70000 [3:07:13<21:39:29, 1.28s/step] Training: 13%|█▎ | 8864/70000 [3:07:14<21:12:45, 1.25s/step] Training: 13%|█▎ | 8865/70000 [3:07:16<20:53:55, 1.23s/step] Training: 13%|█▎ | 8866/70000 [3:07:17<20:41:05, 1.22s/step] Training: 13%|█▎ | 8867/70000 [3:07:18<21:56:18, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=40066 Training: 13%|█▎ | 8868/70000 [3:07:19<21:26:07, 1.26s/step] Training: 13%|█▎ | 8869/70000 [3:07:21<21:11:00, 1.25s/step] Training: 13%|█▎ | 8870/70000 [3:07:22<21:55:46, 1.29s/step] Training: 13%|█▎ | 8871/70000 [3:07:23<22:06:35, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=4407 Training: 13%|█▎ | 8872/70000 [3:07:25<21:31:55, 1.27s/step] Training: 13%|█▎ | 8873/70000 [3:07:26<21:07:46, 1.24s/step] Training: 13%|█▎ | 8874/70000 [3:07:27<20:50:33, 1.23s/step] Training: 13%|█▎ | 8875/70000 [3:07:28<21:22:16, 1.26s/step] Training: 13%|█▎ | 8876/70000 [3:07:29<21:01:17, 1.24s/step] Training: 13%|█▎ | 8877/70000 [3:07:31<21:27:27, 1.26s/step] Training: 13%|█▎ | 8878/70000 [3:07:32<21:45:32, 1.28s/step] Training: 13%|█▎ | 8879/70000 [3:07:33<21:25:02, 1.26s/step] Training: 13%|█▎ | 8880/70000 [3:07:34<21:03:01, 1.24s/step] Training: 13%|█▎ | 8881/70000 [3:07:36<20:47:54, 1.23s/step] Training: 13%|█▎ | 8882/70000 [3:07:37<20:47:25, 1.22s/step] Training: 13%|█▎ | 8883/70000 [3:07:38<21:20:05, 1.26s/step] Training: 13%|█▎ | 8884/70000 [3:07:39<20:59:34, 1.24s/step] Training: 13%|█▎ | 8885/70000 [3:07:41<21:28:49, 1.27s/step] Training: 13%|█▎ | 8886/70000 [3:07:42<21:55:43, 1.29s/step] Training: 13%|█▎ | 8887/70000 [3:07:43<22:03:58, 1.30s/step] Training: 13%|█▎ | 8888/70000 [3:07:45<21:30:33, 1.27s/step] Training: 13%|█▎ | 8889/70000 [3:07:46<21:07:50, 1.24s/step] Training: 13%|█▎ | 8890/70000 [3:07:47<20:55:49, 1.23s/step] Training: 13%|█▎ | 8891/70000 [3:07:48<21:26:13, 1.26s/step] Training: 13%|█▎ | 8892/70000 [3:07:50<21:04:39, 1.24s/step] Training: 13%|█▎ | 8893/70000 [3:07:51<21:02:52, 1.24s/step] Training: 13%|█▎ | 8894/70000 [3:07:52<21:37:18, 1.27s/step] Training: 13%|█▎ | 8895/70000 [3:07:53<21:53:19, 1.29s/step] Training: 13%|█▎ | 8896/70000 [3:07:55<21:23:01, 1.26s/step] Training: 13%|█▎ | 8897/70000 [3:07:56<21:01:29, 1.24s/step] Training: 13%|█▎ | 8898/70000 [3:07:57<21:26:20, 1.26s/step] Training: 13%|█▎ | 8899/70000 [3:07:59<21:58:14, 1.29s/step] Training: 13%|█▎ | 8900/70000 [3:08:00<21:26:28, 1.26s/step]INFO 2026-03-12 23:17:52 ot_train.py:435 step:9K smpl:570K ep:2K epch:7.54 loss:0.173 grdn:13.340 lr:2.4e-05 updt_s:1.242 data_s:0.019 Training: 13%|█▎ | 8901/70000 [3:08:01<21:08:57, 1.25s/step] Training: 13%|█▎ | 8902/70000 [3:08:02<21:41:46, 1.28s/step] Training: 13%|█▎ | 8903/70000 [3:08:04<21:54:01, 1.29s/step] Training: 13%|█▎ | 8904/70000 [3:08:05<21:24:52, 1.26s/step] Training: 13%|█▎ | 8905/70000 [3:08:06<21:02:51, 1.24s/step] Training: 13%|█▎ | 8906/70000 [3:08:07<21:28:24, 1.27s/step] Training: 13%|█▎ | 8907/70000 [3:08:09<21:46:20, 1.28s/step] Training: 13%|█▎ | 8908/70000 [3:08:10<21:17:29, 1.25s/step] Training: 13%|█▎ | 8909/70000 [3:08:11<21:43:57, 1.28s/step] Training: 13%|█▎ | 8910/70000 [3:08:12<21:58:03, 1.29s/step] Training: 13%|█▎ | 8911/70000 [3:08:14<21:34:22, 1.27s/step] Training: 13%|█▎ | 8912/70000 [3:08:15<21:09:01, 1.25s/step] Training: 13%|█▎ | 8913/70000 [3:08:16<20:51:09, 1.23s/step] Training: 13%|█▎ | 8914/70000 [3:08:17<20:54:07, 1.23s/step] Training: 13%|█▎ | 8915/70000 [3:08:19<21:19:19, 1.26s/step] Training: 13%|█▎ | 8916/70000 [3:08:20<20:57:32, 1.24s/step] Training: 13%|█▎ | 8917/70000 [3:08:21<21:26:00, 1.26s/step] Training: 13%|█▎ | 8918/70000 [3:08:22<21:54:48, 1.29s/step] Training: 13%|█▎ | 8919/70000 [3:08:24<22:02:33, 1.30s/step] Training: 13%|█▎ | 8920/70000 [3:08:25<21:28:30, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=59026 Training: 13%|█▎ | 8921/70000 [3:08:26<21:05:27, 1.24s/step] Training: 13%|█▎ | 8922/70000 [3:08:27<21:00:01, 1.24s/step] Training: 13%|█▎ | 8923/70000 [3:08:29<21:27:17, 1.26s/step] Training: 13%|█▎ | 8924/70000 [3:08:30<21:05:44, 1.24s/step] Training: 13%|█▎ | 8925/70000 [3:08:31<21:01:46, 1.24s/step] Training: 13%|█▎ | 8926/70000 [3:08:33<21:35:19, 1.27s/step] Training: 13%|█▎ | 8927/70000 [3:08:34<21:48:49, 1.29s/step] Training: 13%|█▎ | 8928/70000 [3:08:35<21:19:58, 1.26s/step] Training: 13%|█▎ | 8929/70000 [3:08:36<21:00:18, 1.24s/step] Training: 13%|█▎ | 8930/70000 [3:08:38<21:25:59, 1.26s/step] Training: 13%|█▎ | 8931/70000 [3:08:39<21:58:10, 1.30s/step] Training: 13%|█▎ | 8932/70000 [3:08:40<21:25:52, 1.26s/step] Training: 13%|█▎ | 8933/70000 [3:08:41<21:10:56, 1.25s/step] Training: 13%|█▎ | 8934/70000 [3:08:43<21:45:00, 1.28s/step] Training: 13%|█▎ | 8935/70000 [3:08:44<21:53:53, 1.29s/step] Training: 13%|█▎ | 8936/70000 [3:08:45<21:23:16, 1.26s/step] Training: 13%|█▎ | 8937/70000 [3:08:46<21:01:44, 1.24s/step] Training: 13%|█▎ | 8938/70000 [3:08:48<21:30:17, 1.27s/step] Training: 13%|█▎ | 8939/70000 [3:08:49<21:49:54, 1.29s/step] Training: 13%|█▎ | 8940/70000 [3:08:50<21:20:08, 1.26s/step] Training: 13%|█▎ | 8941/70000 [3:08:52<21:43:54, 1.28s/step] Training: 13%|█▎ | 8942/70000 [3:08:53<21:59:12, 1.30s/step] Training: 13%|█▎ | 8943/70000 [3:08:54<21:33:41, 1.27s/step] Training: 13%|█▎ | 8944/70000 [3:08:55<21:08:50, 1.25s/step] Training: 13%|█▎ | 8945/70000 [3:08:56<20:52:36, 1.23s/step] Training: 13%|█▎ | 8946/70000 [3:08:58<20:55:06, 1.23s/step] Training: 13%|█▎ | 8947/70000 [3:08:59<21:22:15, 1.26s/step] Training: 13%|█▎ | 8948/70000 [3:09:00<21:00:49, 1.24s/step] Training: 13%|█▎ | 8949/70000 [3:09:02<21:27:48, 1.27s/step] Training: 13%|█▎ | 8950/70000 [3:09:03<21:58:48, 1.30s/step] Training: 13%|█▎ | 8951/70000 [3:09:04<22:04:31, 1.30s/step] Training: 13%|█▎ | 8952/70000 [3:09:05<21:30:18, 1.27s/step] Training: 13%|█▎ | 8953/70000 [3:09:07<21:05:08, 1.24s/step] Training: 13%|█▎ | 8954/70000 [3:09:08<20:54:23, 1.23s/step] Training: 13%|█▎ | 8955/70000 [3:09:09<21:24:45, 1.26s/step] Training: 13%|█▎ | 8956/70000 [3:09:10<21:03:47, 1.24s/step] Training: 13%|█▎ | 8957/70000 [3:09:12<21:00:33, 1.24s/step] Training: 13%|█▎ | 8958/70000 [3:09:13<21:36:27, 1.27s/step] Training: 13%|█▎ | 8959/70000 [3:09:14<21:48:46, 1.29s/step] Training: 13%|█▎ | 8960/70000 [3:09:15<21:19:14, 1.26s/step] Training: 13%|█▎ | 8961/70000 [3:09:17<20:58:39, 1.24s/step] Training: 13%|█▎ | 8962/70000 [3:09:18<21:27:43, 1.27s/step] Training: 13%|█▎ | 8963/70000 [3:09:19<21:59:58, 1.30s/step] Training: 13%|█▎ | 8964/70000 [3:09:21<21:29:12, 1.27s/step] Training: 13%|█▎ | 8965/70000 [3:09:22<21:10:55, 1.25s/step] Training: 13%|█▎ | 8966/70000 [3:09:23<21:42:56, 1.28s/step] Training: 13%|█▎ | 8967/70000 [3:09:24<21:53:51, 1.29s/step] Training: 13%|█▎ | 8968/70000 [3:09:26<21:22:43, 1.26s/step] Training: 13%|█▎ | 8969/70000 [3:09:27<20:59:45, 1.24s/step] Training: 13%|█▎ | 8970/70000 [3:09:28<21:25:32, 1.26s/step] Training: 13%|█▎ | 8971/70000 [3:09:29<21:46:47, 1.28s/step] Training: 13%|█▎ | 8972/70000 [3:09:31<21:16:49, 1.26s/step] Training: 13%|█▎ | 8973/70000 [3:09:32<21:40:44, 1.28s/step] Training: 13%|█▎ | 8974/70000 [3:09:33<21:38:37, 1.28s/step] Training: 13%|█▎ | 8975/70000 [3:09:34<21:16:21, 1.25s/step] Training: 13%|█▎ | 8976/70000 [3:09:36<20:56:46, 1.24s/step] Training: 13%|█▎ | 8977/70000 [3:09:37<20:45:23, 1.22s/step] Training: 13%|█▎ | 8978/70000 [3:09:38<20:46:56, 1.23s/step] Training: 13%|█▎ | 8979/70000 [3:09:39<21:19:06, 1.26s/step] Training: 13%|█▎ | 8980/70000 [3:09:41<20:59:04, 1.24s/step] Training: 13%|█▎ | 8981/70000 [3:09:42<21:28:54, 1.27s/step] Training: 13%|█▎ | 8982/70000 [3:09:43<21:57:39, 1.30s/step] Training: 13%|█▎ | 8983/70000 [3:09:45<22:03:40, 1.30s/step] Training: 13%|█▎ | 8984/70000 [3:09:46<21:30:47, 1.27s/step] Training: 13%|█▎ | 8985/70000 [3:09:47<21:07:29, 1.25s/step] Training: 13%|█▎ | 8986/70000 [3:09:48<20:55:07, 1.23s/step] Training: 13%|█▎ | 8987/70000 [3:09:50<21:25:53, 1.26s/step] Training: 13%|█▎ | 8988/70000 [3:09:51<21:03:19, 1.24s/step] Training: 13%|█▎ | 8989/70000 [3:09:52<21:00:25, 1.24s/step] Training: 13%|█▎ | 8990/70000 [3:09:53<21:33:14, 1.27s/step] Training: 13%|█▎ | 8991/70000 [3:09:55<21:48:41, 1.29s/step] Training: 13%|█▎ | 8992/70000 [3:09:56<21:18:31, 1.26s/step] Training: 13%|█▎ | 8993/70000 [3:09:57<20:58:27, 1.24s/step] Training: 13%|█▎ | 8994/70000 [3:09:58<21:24:32, 1.26s/step] Training: 13%|█▎ | 8995/70000 [3:10:00<21:54:22, 1.29s/step] Training: 13%|█▎ | 8996/70000 [3:10:01<21:22:27, 1.26s/step] Training: 13%|█▎ | 8997/70000 [3:10:02<21:07:32, 1.25s/step] Training: 13%|█▎ | 8998/70000 [3:10:03<21:41:26, 1.28s/step] Training: 13%|█▎ | 8999/70000 [3:10:05<21:54:30, 1.29s/step] Training: 13%|█▎ | 9000/70000 [3:10:06<21:22:34, 1.26s/step]INFO 2026-03-12 23:19:58 ot_train.py:435 step:9K smpl:576K ep:2K epch:7.63 loss:0.187 grdn:14.234 lr:2.4e-05 updt_s:1.242 data_s:0.018 Training: 13%|█▎ | 9001/70000 [3:10:07<21:00:01, 1.24s/step] Training: 13%|█▎ | 9002/70000 [3:10:08<21:25:32, 1.26s/step] Training: 13%|█▎ | 9003/70000 [3:10:10<21:48:35, 1.29s/step] Training: 13%|█▎ | 9004/70000 [3:10:11<21:18:41, 1.26s/step] Training: 13%|█▎ | 9005/70000 [3:10:12<21:40:27, 1.28s/step] Training: 13%|█▎ | 9006/70000 [3:10:14<21:38:45, 1.28s/step] Training: 13%|█▎ | 9007/70000 [3:10:15<21:14:57, 1.25s/step] Training: 13%|█▎ | 9008/70000 [3:10:16<20:54:45, 1.23s/step] Training: 13%|█▎ | 9009/70000 [3:10:17<20:43:07, 1.22s/step] Training: 13%|█▎ | 9010/70000 [3:10:18<20:44:57, 1.22s/step] Training: 13%|█▎ | 9011/70000 [3:10:20<21:14:04, 1.25s/step] Training: 13%|█▎ | 9012/70000 [3:10:21<20:53:53, 1.23s/step] Training: 13%|█▎ | 9013/70000 [3:10:22<21:23:48, 1.26s/step] Training: 13%|█▎ | 9014/70000 [3:10:24<21:55:33, 1.29s/step] Training: 13%|█▎ | 9015/70000 [3:10:25<22:02:27, 1.30s/step] Training: 13%|█▎ | 9016/70000 [3:10:26<21:27:24, 1.27s/step] Training: 13%|█▎ | 9017/70000 [3:10:27<21:03:09, 1.24s/step] Training: 13%|█▎ | 9018/70000 [3:10:29<20:52:45, 1.23s/step] Training: 13%|█▎ | 9019/70000 [3:10:30<21:24:52, 1.26s/step] Training: 13%|█▎ | 9020/70000 [3:10:31<21:02:36, 1.24s/step] Training: 13%|█▎ | 9021/70000 [3:10:32<20:57:10, 1.24s/step] Training: 13%|█▎ | 9022/70000 [3:10:34<21:33:04, 1.27s/step] Training: 13%|█▎ | 9023/70000 [3:10:35<21:45:30, 1.28s/step] Training: 13%|█▎ | 9024/70000 [3:10:36<21:15:57, 1.26s/step] Training: 13%|█▎ | 9025/70000 [3:10:37<20:57:03, 1.24s/step] Training: 13%|█▎ | 9026/70000 [3:10:39<20:43:06, 1.22s/step] Training: 13%|█▎ | 9027/70000 [3:10:40<21:45:40, 1.28s/step] Training: 13%|█▎ | 9028/70000 [3:10:41<21:18:20, 1.26s/step] Training: 13%|█▎ | 9029/70000 [3:10:42<21:01:13, 1.24s/step] Training: 13%|█▎ | 9030/70000 [3:10:44<21:33:56, 1.27s/step] Training: 13%|█▎ | 9031/70000 [3:10:45<21:46:54, 1.29s/step] Training: 13%|█▎ | 9032/70000 [3:10:46<21:16:50, 1.26s/step] Training: 13%|█▎ | 9033/70000 [3:10:47<20:56:26, 1.24s/step] Training: 13%|█▎ | 9034/70000 [3:10:49<20:41:53, 1.22s/step] Training: 13%|█▎ | 9035/70000 [3:10:50<21:32:32, 1.27s/step] Training: 13%|█▎ | 9036/70000 [3:10:51<21:09:07, 1.25s/step] Training: 13%|█▎ | 9037/70000 [3:10:52<21:33:54, 1.27s/step] Training: 13%|█▎ | 9038/70000 [3:10:54<21:38:13, 1.28s/step] Training: 13%|█▎ | 9039/70000 [3:10:55<21:13:35, 1.25s/step] Training: 13%|█▎ | 9040/70000 [3:10:56<20:54:10, 1.23s/step] Training: 13%|█▎ | 9041/70000 [3:10:57<20:40:52, 1.22s/step] Training: 13%|█▎ | 9042/70000 [3:10:59<20:32:55, 1.21s/step] Training: 13%|█▎ | 9043/70000 [3:11:00<21:08:27, 1.25s/step] Training: 13%|█▎ | 9044/70000 [3:11:01<20:52:23, 1.23s/step] Training: 13%|█▎ | 9045/70000 [3:11:02<21:19:57, 1.26s/step] Training: 13%|█▎ | 9046/70000 [3:11:04<21:59:25, 1.30s/step] Training: 13%|█▎ | 9047/70000 [3:11:05<22:05:57, 1.31s/step] Training: 13%|█▎ | 9048/70000 [3:11:06<21:31:59, 1.27s/step] Training: 13%|█▎ | 9049/70000 [3:11:07<21:06:37, 1.25s/step] Training: 13%|█▎ | 9050/70000 [3:11:09<20:49:15, 1.23s/step] Training: 13%|█▎ | 9051/70000 [3:11:10<21:20:32, 1.26s/step] Training: 13%|█▎ | 9052/70000 [3:11:11<21:00:32, 1.24s/step] Training: 13%|█▎ | 9053/70000 [3:11:12<21:01:37, 1.24s/step] Training: 13%|█▎ | 9054/70000 [3:11:14<21:35:44, 1.28s/step] Training: 13%|█▎ | 9055/70000 [3:11:15<21:51:39, 1.29s/step] Training: 13%|█▎ | 9056/70000 [3:11:16<21:21:13, 1.26s/step] Training: 13%|█▎ | 9057/70000 [3:11:18<21:00:35, 1.24s/step] Training: 13%|█▎ | 9058/70000 [3:11:19<20:45:28, 1.23s/step] Training: 13%|█▎ | 9059/70000 [3:11:20<21:27:33, 1.27s/step] Training: 13%|█▎ | 9060/70000 [3:11:21<21:05:37, 1.25s/step] Training: 13%|█▎ | 9061/70000 [3:11:22<20:53:11, 1.23s/step] Training: 13%|█▎ | 9062/70000 [3:11:24<21:38:43, 1.28s/step] Training: 13%|█▎ | 9063/70000 [3:11:25<22:02:48, 1.30s/step] Training: 13%|█▎ | 9064/70000 [3:11:26<21:30:56, 1.27s/step] Training: 13%|█▎ | 9065/70000 [3:11:28<21:05:50, 1.25s/step] Training: 13%|█▎ | 9066/70000 [3:11:29<20:48:15, 1.23s/step] Training: 13%|█▎ | 9067/70000 [3:11:30<21:17:32, 1.26s/step] Training: 13%|█▎ | 9068/70000 [3:11:31<20:58:05, 1.24s/step] Training: 13%|█▎ | 9069/70000 [3:11:33<21:23:59, 1.26s/step] Training: 13%|█▎ | 9070/70000 [3:11:34<21:28:09, 1.27s/step] Training: 13%|█▎ | 9071/70000 [3:11:35<21:14:19, 1.25s/step] Training: 13%|█▎ | 9072/70000 [3:11:36<20:56:43, 1.24s/step] Training: 13%|█▎ | 9073/70000 [3:11:38<20:42:01, 1.22s/step] Training: 13%|█▎ | 9074/70000 [3:11:39<20:30:11, 1.21s/step] Training: 13%|█▎ | 9075/70000 [3:11:40<21:04:33, 1.25s/step] Training: 13%|█▎ | 9076/70000 [3:11:41<20:46:53, 1.23s/step] Training: 13%|█▎ | 9077/70000 [3:11:43<21:20:29, 1.26s/step] Training: 13%|█▎ | 9078/70000 [3:11:44<21:50:27, 1.29s/step] Training: 13%|█▎ | 9079/70000 [3:11:45<21:59:21, 1.30s/step] Training: 13%|█▎ | 9080/70000 [3:11:46<21:24:48, 1.27s/step] Training: 13%|█▎ | 9081/70000 [3:11:48<21:02:15, 1.24s/step] Training: 13%|█▎ | 9082/70000 [3:11:49<20:46:24, 1.23s/step] Training: 13%|█▎ | 9083/70000 [3:11:50<21:16:23, 1.26s/step] Training: 13%|█▎ | 9084/70000 [3:11:51<20:56:13, 1.24s/step] Training: 13%|█▎ | 9085/70000 [3:11:53<20:53:33, 1.23s/step] Training: 13%|█▎ | 9086/70000 [3:11:54<21:33:07, 1.27s/step] Training: 13%|█▎ | 9087/70000 [3:11:55<21:49:05, 1.29s/step] Training: 13%|█▎ | 9088/70000 [3:11:56<21:18:36, 1.26s/step] Training: 13%|█▎ | 9089/70000 [3:11:58<20:56:53, 1.24s/step] Training: 13%|█▎ | 9090/70000 [3:11:59<20:41:59, 1.22s/step] Training: 13%|█▎ | 9091/70000 [3:12:00<21:18:38, 1.26s/step] Training: 13%|█▎ | 9092/70000 [3:12:01<20:57:02, 1.24s/step] Training: 13%|█▎ | 9093/70000 [3:12:03<20:48:36, 1.23s/step] Training: 13%|█▎ | 9094/70000 [3:12:04<21:24:50, 1.27s/step] Training: 13%|█▎ | 9095/70000 [3:12:05<21:41:13, 1.28s/step] Training: 13%|█▎ | 9096/70000 [3:12:06<21:13:37, 1.25s/step] Training: 13%|█▎ | 9097/70000 [3:12:08<20:54:39, 1.24s/step] Training: 13%|█▎ | 9098/70000 [3:12:09<20:40:22, 1.22s/step] Training: 13%|█▎ | 9099/70000 [3:12:10<21:13:54, 1.26s/step] Training: 13%|█▎ | 9100/70000 [3:12:11<20:56:13, 1.24s/step]INFO 2026-03-12 23:22:03 ot_train.py:435 step:9K smpl:582K ep:2K epch:7.71 loss:0.198 grdn:14.247 lr:2.4e-05 updt_s:1.233 data_s:0.018 Training: 13%|█▎ | 9101/70000 [3:12:13<21:25:02, 1.27s/step] Training: 13%|█▎ | 9102/70000 [3:12:14<21:34:18, 1.28s/step] Training: 13%|█▎ | 9103/70000 [3:12:15<21:12:27, 1.25s/step] Training: 13%|█▎ | 9104/70000 [3:12:16<20:54:41, 1.24s/step] Training: 13%|█▎ | 9105/70000 [3:12:18<20:40:40, 1.22s/step] Training: 13%|█▎ | 9106/70000 [3:12:19<20:31:07, 1.21s/step] Training: 13%|█▎ | 9107/70000 [3:12:20<21:07:38, 1.25s/step] Training: 13%|█▎ | 9108/70000 [3:12:21<20:48:56, 1.23s/step] Training: 13%|█▎ | 9109/70000 [3:12:23<21:21:25, 1.26s/step] Training: 13%|█▎ | 9110/70000 [3:12:24<21:56:30, 1.30s/step] Training: 13%|█▎ | 9111/70000 [3:12:25<22:04:09, 1.30s/step] Training: 13%|█▎ | 9112/70000 [3:12:26<21:30:10, 1.27s/step] Training: 13%|█▎ | 9113/70000 [3:12:28<21:05:01, 1.25s/step] Training: 13%|█▎ | 9114/70000 [3:12:29<20:47:17, 1.23s/step] Training: 13%|█▎ | 9115/70000 [3:12:30<21:16:34, 1.26s/step] Training: 13%|█▎ | 9116/70000 [3:12:31<20:56:21, 1.24s/step] Training: 13%|█▎ | 9117/70000 [3:12:33<20:52:36, 1.23s/step] Training: 13%|█▎ | 9118/70000 [3:12:34<21:36:43, 1.28s/step] Training: 13%|█▎ | 9119/70000 [3:12:35<21:47:04, 1.29s/step] Training: 13%|█▎ | 9120/70000 [3:12:36<21:17:44, 1.26s/step] Training: 13%|█▎ | 9121/70000 [3:12:38<20:57:37, 1.24s/step] Training: 13%|█▎ | 9122/70000 [3:12:39<20:42:53, 1.22s/step] Training: 13%|█▎ | 9123/70000 [3:12:40<21:25:15, 1.27s/step] Training: 13%|█▎ | 9124/70000 [3:12:41<21:04:03, 1.25s/step] Training: 13%|█▎ | 9125/70000 [3:12:43<20:53:29, 1.24s/step] Training: 13%|█▎ | 9126/70000 [3:12:44<21:30:38, 1.27s/step] Training: 13%|█▎ | 9127/70000 [3:12:45<21:46:37, 1.29s/step] Training: 13%|█▎ | 9128/70000 [3:12:47<21:16:52, 1.26s/step] Training: 13%|█▎ | 9129/70000 [3:12:48<20:54:04, 1.24s/step] Training: 13%|█▎ | 9130/70000 [3:12:49<20:39:29, 1.22s/step] Training: 13%|█▎ | 9131/70000 [3:12:50<21:13:25, 1.26s/step] Training: 13%|█▎ | 9132/70000 [3:12:51<20:52:51, 1.23s/step] Training: 13%|█▎ | 9133/70000 [3:12:53<21:20:24, 1.26s/step] Training: 13%|█▎ | 9134/70000 [3:12:54<21:31:11, 1.27s/step] Training: 13%|█▎ | 9135/70000 [3:12:55<21:06:16, 1.25s/step] Training: 13%|█▎ | 9136/70000 [3:12:56<20:49:21, 1.23s/step] Training: 13%|█▎ | 9137/70000 [3:12:58<20:36:01, 1.22s/step] Training: 13%|█▎ | 9138/70000 [3:12:59<20:27:32, 1.21s/step] Training: 13%|█▎ | 9139/70000 [3:13:00<21:02:18, 1.24s/step] Training: 13%|█▎ | 9140/70000 [3:13:01<20:45:02, 1.23s/step] Training: 13%|█▎ | 9141/70000 [3:13:03<21:18:29, 1.26s/step] Training: 13%|█▎ | 9142/70000 [3:13:04<21:45:56, 1.29s/step] Training: 13%|█▎ | 9143/70000 [3:13:05<21:53:39, 1.30s/step] Training: 13%|█▎ | 9144/70000 [3:13:06<21:20:26, 1.26s/step] Training: 13%|█▎ | 9145/70000 [3:13:08<20:57:59, 1.24s/step] Training: 13%|█▎ | 9146/70000 [3:13:09<20:42:42, 1.23s/step] Training: 13%|█▎ | 9147/70000 [3:13:10<21:15:59, 1.26s/step] Training: 13%|█▎ | 9148/70000 [3:13:12<21:33:27, 1.28s/step] Training: 13%|█▎ | 9149/70000 [3:13:13<21:23:21, 1.27s/step] Training: 13%|█▎ | 9150/70000 [3:13:14<21:49:18, 1.29s/step] Training: 13%|█▎ | 9151/70000 [3:13:15<21:57:59, 1.30s/step] Training: 13%|█▎ | 9152/70000 [3:13:17<21:24:19, 1.27s/step] Training: 13%|█▎ | 9153/70000 [3:13:18<21:00:27, 1.24s/step] Training: 13%|█▎ | 9154/70000 [3:13:19<20:43:12, 1.23s/step] Training: 13%|█▎ | 9155/70000 [3:13:20<21:17:04, 1.26s/step] Training: 13%|█▎ | 9156/70000 [3:13:22<21:27:04, 1.27s/step] Training: 13%|█▎ | 9157/70000 [3:13:23<21:10:31, 1.25s/step] Training: 13%|█▎ | 9158/70000 [3:13:24<21:42:10, 1.28s/step] Training: 13%|█▎ | 9159/70000 [3:13:26<21:51:44, 1.29s/step] Training: 13%|█▎ | 9160/70000 [3:13:27<21:19:35, 1.26s/step] Training: 13%|█▎ | 9161/70000 [3:13:28<20:57:11, 1.24s/step] Training: 13%|█▎ | 9162/70000 [3:13:29<20:41:25, 1.22s/step] Training: 13%|█▎ | 9163/70000 [3:13:30<21:14:44, 1.26s/step] Training: 13%|█▎ | 9164/70000 [3:13:32<20:55:17, 1.24s/step] Training: 13%|█▎ | 9165/70000 [3:13:33<21:23:27, 1.27s/step] Training: 13%|█▎ | 9166/70000 [3:13:34<21:27:45, 1.27s/step] Training: 13%|█▎ | 9167/70000 [3:13:35<21:06:46, 1.25s/step] Training: 13%|█▎ | 9168/70000 [3:13:37<20:48:16, 1.23s/step] Training: 13%|█▎ | 9169/70000 [3:13:38<20:35:44, 1.22s/step] Training: 13%|█▎ | 9170/70000 [3:13:39<20:26:20, 1.21s/step] Training: 13%|█▎ | 9171/70000 [3:13:40<20:59:52, 1.24s/step] Training: 13%|█▎ | 9172/70000 [3:13:42<21:20:41, 1.26s/step] Training: 13%|█▎ | 9173/70000 [3:13:43<21:39:11, 1.28s/step] Training: 13%|█▎ | 9174/70000 [3:13:44<22:11:31, 1.31s/step] Training: 13%|█▎ | 9175/70000 [3:13:46<22:11:00, 1.31s/step] Training: 13%|█▎ | 9176/70000 [3:13:47<21:34:00, 1.28s/step] Training: 13%|█▎ | 9177/70000 [3:13:48<21:07:18, 1.25s/step] Training: 13%|█▎ | 9178/70000 [3:13:49<20:48:14, 1.23s/step] Training: 13%|█▎ | 9179/70000 [3:13:51<21:17:32, 1.26s/step] Training: 13%|█▎ | 9180/70000 [3:13:52<21:36:02, 1.28s/step] Training: 13%|█▎ | 9181/70000 [3:13:53<21:25:49, 1.27s/step] Training: 13%|█▎ | 9182/70000 [3:13:54<21:53:08, 1.30s/step] Training: 13%|█▎ | 9183/70000 [3:13:56<22:03:05, 1.31s/step] Training: 13%|█▎ | 9184/70000 [3:13:57<21:28:53, 1.27s/step] Training: 13%|█▎ | 9185/70000 [3:13:58<21:02:01, 1.25s/step] Training: 13%|█▎ | 9186/70000 [3:13:59<20:45:19, 1.23s/step] Training: 13%|█▎ | 9187/70000 [3:14:01<21:18:03, 1.26s/step] Training: 13%|█▎ | 9188/70000 [3:14:02<21:00:47, 1.24s/step] Training: 13%|█▎ | 9189/70000 [3:14:03<20:53:47, 1.24s/step] Training: 13%|█▎ | 9190/70000 [3:14:04<21:29:19, 1.27s/step] Training: 13%|█▎ | 9191/70000 [3:14:06<21:44:07, 1.29s/step] Training: 13%|█▎ | 9192/70000 [3:14:07<21:13:41, 1.26s/step] Training: 13%|█▎ | 9193/70000 [3:14:08<20:52:09, 1.24s/step] Training: 13%|█▎ | 9194/70000 [3:14:09<20:37:18, 1.22s/step] Training: 13%|█▎ | 9195/70000 [3:14:11<21:08:50, 1.25s/step] Training: 13%|█▎ | 9196/70000 [3:14:12<21:28:22, 1.27s/step] Training: 13%|█▎ | 9197/70000 [3:14:13<21:03:12, 1.25s/step] Training: 13%|█▎ | 9198/70000 [3:14:15<21:31:25, 1.27s/step] Training: 13%|█▎ | 9199/70000 [3:14:16<21:09:33, 1.25s/step] Training: 13%|█▎ | 9200/70000 [3:14:17<20:49:56, 1.23s/step]INFO 2026-03-12 23:24:09 ot_train.py:435 step:9K smpl:589K ep:2K epch:7.80 loss:0.183 grdn:13.810 lr:2.4e-05 updt_s:1.235 data_s:0.019 Training: 13%|█▎ | 9201/70000 [3:14:18<20:36:32, 1.22s/step] Training: 13%|█▎ | 9202/70000 [3:14:19<20:28:25, 1.21s/step] Training: 13%|█▎ | 9203/70000 [3:14:21<21:04:36, 1.25s/step] Training: 13%|█▎ | 9204/70000 [3:14:22<21:28:45, 1.27s/step] Training: 13%|█▎ | 9205/70000 [3:14:23<21:49:49, 1.29s/step] Training: 13%|█▎ | 9206/70000 [3:14:24<21:22:56, 1.27s/step] Training: 13%|█▎ | 9207/70000 [3:14:26<22:07:19, 1.31s/step] Training: 13%|█▎ | 9208/70000 [3:14:27<21:30:13, 1.27s/step] Training: 13%|█▎ | 9209/70000 [3:14:28<21:05:12, 1.25s/step] Training: 13%|█▎ | 9210/70000 [3:14:29<20:46:03, 1.23s/step] Training: 13%|█▎ | 9211/70000 [3:14:31<21:16:39, 1.26s/step] Training: 13%|█▎ | 9212/70000 [3:14:32<22:12:47, 1.32s/step] Training: 13%|█▎ | 9213/70000 [3:14:33<21:40:04, 1.28s/step] Training: 13%|█▎ | 9214/70000 [3:14:35<21:53:18, 1.30s/step] Training: 13%|█▎ | 9215/70000 [3:14:36<22:32:46, 1.34s/step] Training: 13%|█▎ | 9216/70000 [3:14:37<21:47:36, 1.29s/step] Training: 13%|█▎ | 9217/70000 [3:14:39<21:16:26, 1.26s/step] Training: 13%|█▎ | 9218/70000 [3:14:40<20:55:12, 1.24s/step] Training: 13%|█▎ | 9219/70000 [3:14:41<21:20:37, 1.26s/step] Training: 13%|█▎ | 9220/70000 [3:14:42<21:35:18, 1.28s/step] Training: 13%|█▎ | 9221/70000 [3:14:44<21:19:23, 1.26s/step] Training: 13%|█▎ | 9222/70000 [3:14:45<21:39:06, 1.28s/step] Training: 13%|█▎ | 9223/70000 [3:14:46<21:53:53, 1.30s/step] Training: 13%|█▎ | 9224/70000 [3:14:47<21:20:23, 1.26s/step] Training: 13%|█▎ | 9225/70000 [3:14:49<20:57:18, 1.24s/step] Training: 13%|█▎ | 9226/70000 [3:14:50<20:41:22, 1.23s/step] Training: 13%|█▎ | 9227/70000 [3:14:51<21:15:06, 1.26s/step] Training: 13%|█▎ | 9228/70000 [3:14:53<21:35:19, 1.28s/step] Training: 13%|█▎ | 9229/70000 [3:14:54<21:12:09, 1.26s/step] Training: 13%|█▎ | 9230/70000 [3:14:55<21:28:05, 1.27s/step] Training: 13%|█▎ | 9231/70000 [3:14:56<21:56:31, 1.30s/step] Training: 13%|█▎ | 9232/70000 [3:14:58<21:19:14, 1.26s/step] Training: 13%|█▎ | 9233/70000 [3:14:59<20:56:48, 1.24s/step] Training: 13%|█▎ | 9234/70000 [3:15:00<20:40:49, 1.23s/step] Training: 13%|█▎ | 9235/70000 [3:15:01<21:11:44, 1.26s/step] Training: 13%|█▎ | 9236/70000 [3:15:03<21:31:23, 1.28s/step] Training: 13%|█▎ | 9237/70000 [3:15:04<21:04:27, 1.25s/step] Training: 13%|█▎ | 9238/70000 [3:15:05<20:54:13, 1.24s/step] Training: 13%|█▎ | 9239/70000 [3:15:06<21:28:52, 1.27s/step] Training: 13%|█▎ | 9240/70000 [3:15:08<20:59:53, 1.24s/step] Training: 13%|█▎ | 9241/70000 [3:15:09<20:43:47, 1.23s/step] Training: 13%|█▎ | 9242/70000 [3:15:10<20:30:36, 1.22s/step] Training: 13%|█▎ | 9243/70000 [3:15:11<21:16:19, 1.26s/step] Training: 13%|█▎ | 9244/70000 [3:15:12<21:03:53, 1.25s/step] Training: 13%|█▎ | 9245/70000 [3:15:14<20:46:12, 1.23s/step] Training: 13%|█▎ | 9246/70000 [3:15:15<21:15:09, 1.26s/step] Training: 13%|█▎ | 9247/70000 [3:15:16<21:37:14, 1.28s/step] Training: 13%|█▎ | 9248/70000 [3:15:18<21:09:26, 1.25s/step] Training: 13%|█▎ | 9249/70000 [3:15:19<20:49:14, 1.23s/step] Training: 13%|█▎ | 9250/70000 [3:15:20<20:36:04, 1.22s/step] Training: 13%|█▎ | 9251/70000 [3:15:21<21:07:51, 1.25s/step] Training: 13%|█▎ | 9252/70000 [3:15:22<21:01:29, 1.25s/step] Training: 13%|█▎ | 9253/70000 [3:15:24<21:01:58, 1.25s/step] Training: 13%|█▎ | 9254/70000 [3:15:25<21:29:45, 1.27s/step] Training: 13%|█▎ | 9255/70000 [3:15:26<21:55:44, 1.30s/step] Training: 13%|█▎ | 9256/70000 [3:15:28<21:18:36, 1.26s/step] Training: 13%|█▎ | 9257/70000 [3:15:29<20:57:46, 1.24s/step] Training: 13%|█▎ | 9258/70000 [3:15:30<20:42:06, 1.23s/step] Training: 13%|█▎ | 9259/70000 [3:15:31<21:15:42, 1.26s/step] Training: 13%|█▎ | 9260/70000 [3:15:33<20:54:57, 1.24s/step] Training: 13%|█▎ | 9261/70000 [3:15:34<21:25:12, 1.27s/step] Training: 13%|█▎ | 9262/70000 [3:15:35<22:01:06, 1.31s/step] Training: 13%|█▎ | 9263/70000 [3:15:37<22:16:17, 1.32s/step] Training: 13%|█▎ | 9264/70000 [3:15:38<21:36:30, 1.28s/step] Training: 13%|█▎ | 9265/70000 [3:15:39<21:09:16, 1.25s/step] Training: 13%|█▎ | 9266/70000 [3:15:40<20:49:28, 1.23s/step] Training: 13%|█▎ | 9267/70000 [3:15:41<21:17:16, 1.26s/step] Training: 13%|█▎ | 9268/70000 [3:15:43<21:36:14, 1.28s/step] Training: 13%|█▎ | 9269/70000 [3:15:44<21:50:35, 1.29s/step] Training: 13%|█▎ | 9270/70000 [3:15:45<21:24:10, 1.27s/step] Training: 13%|█▎ | 9271/70000 [3:15:47<21:53:17, 1.30s/step] Training: 13%|█▎ | 9272/70000 [3:15:48<21:18:06, 1.26s/step] Training: 13%|█▎ | 9273/70000 [3:15:49<20:55:43, 1.24s/step] Training: 13%|█▎ | 9274/70000 [3:15:50<20:40:15, 1.23s/step] Training: 13%|█▎ | 9275/70000 [3:15:52<21:24:40, 1.27s/step] Training: 13%|█▎ | 9276/70000 [3:15:53<21:01:53, 1.25s/step] Training: 13%|█▎ | 9277/70000 [3:15:54<21:28:45, 1.27s/step] Training: 13%|█▎ | 9278/70000 [3:15:56<21:52:34, 1.30s/step] Training: 13%|█▎ | 9279/70000 [3:15:57<21:35:29, 1.28s/step] Training: 13%|█▎ | 9280/70000 [3:15:58<21:44:16, 1.29s/step] Training: 13%|█▎ | 9281/70000 [3:15:59<21:14:45, 1.26s/step] Training: 13%|█▎ | 9282/70000 [3:16:00<20:57:57, 1.24s/step] Training: 13%|█▎ | 9283/70000 [3:16:02<21:24:00, 1.27s/step] Training: 13%|█▎ | 9284/70000 [3:16:03<21:10:46, 1.26s/step] Training: 13%|█▎ | 9285/70000 [3:16:04<21:01:35, 1.25s/step] Training: 13%|█▎ | 9286/70000 [3:16:06<21:28:33, 1.27s/step] Training: 13%|█▎ | 9287/70000 [3:16:07<21:54:38, 1.30s/step] Training: 13%|█▎ | 9288/70000 [3:16:08<21:18:04, 1.26s/step] Training: 13%|█▎ | 9289/70000 [3:16:09<20:54:42, 1.24s/step] Training: 13%|█▎ | 9290/70000 [3:16:11<20:39:44, 1.23s/step] Training: 13%|█▎ | 9291/70000 [3:16:12<21:12:25, 1.26s/step] Training: 13%|█▎ | 9292/70000 [3:16:13<20:51:19, 1.24s/step] Training: 13%|█▎ | 9293/70000 [3:16:14<21:22:45, 1.27s/step] Training: 13%|█▎ | 9294/70000 [3:16:16<21:10:28, 1.26s/step] Training: 13%|█▎ | 9295/70000 [3:16:17<21:40:10, 1.29s/step] Training: 13%|█▎ | 9296/70000 [3:16:18<21:07:28, 1.25s/step] Training: 13%|█▎ | 9297/70000 [3:16:19<20:49:27, 1.23s/step] Training: 13%|█▎ | 9298/70000 [3:16:21<20:36:28, 1.22s/step] Training: 13%|█▎ | 9299/70000 [3:16:22<21:05:33, 1.25s/step] Training: 13%|█▎ | 9300/70000 [3:16:23<21:27:35, 1.27s/step]INFO 2026-03-12 23:26:15 ot_train.py:435 step:9K smpl:595K ep:2K epch:7.88 loss:0.188 grdn:15.037 lr:2.4e-05 updt_s:1.241 data_s:0.019 Training: 13%|█▎ | 9301/70000 [3:16:24<21:46:18, 1.29s/step] Training: 13%|█▎ | 9302/70000 [3:16:26<21:25:10, 1.27s/step] Training: 13%|█▎ | 9303/70000 [3:16:27<21:51:03, 1.30s/step] Training: 13%|█▎ | 9304/70000 [3:16:28<21:23:27, 1.27s/step] Training: 13%|█▎ | 9305/70000 [3:16:29<20:59:17, 1.24s/step] Training: 13%|█▎ | 9306/70000 [3:16:31<20:41:39, 1.23s/step] Training: 13%|█▎ | 9307/70000 [3:16:32<21:24:16, 1.27s/step] Training: 13%|█▎ | 9308/70000 [3:16:33<21:08:21, 1.25s/step] Training: 13%|█▎ | 9309/70000 [3:16:35<21:31:02, 1.28s/step] Training: 13%|█▎ | 9310/70000 [3:16:36<21:06:06, 1.25s/step] Training: 13%|█▎ | 9311/70000 [3:16:37<22:10:51, 1.32s/step] Training: 13%|█▎ | 9312/70000 [3:16:39<22:18:28, 1.32s/step] Training: 13%|█▎ | 9313/70000 [3:16:40<21:37:28, 1.28s/step] Training: 13%|█▎ | 9314/70000 [3:16:41<21:08:03, 1.25s/step] Training: 13%|█▎ | 9315/70000 [3:16:42<21:32:29, 1.28s/step] Training: 13%|█▎ | 9316/70000 [3:16:43<21:18:22, 1.26s/step] Training: 13%|█▎ | 9317/70000 [3:16:45<21:08:28, 1.25s/step] Training: 13%|█▎ | 9318/70000 [3:16:46<20:49:23, 1.24s/step] Training: 13%|█▎ | 9319/70000 [3:16:47<20:35:39, 1.22s/step] Training: 13%|█▎ | 9320/70000 [3:16:48<21:14:05, 1.26s/step] Training: 13%|█▎ | 9321/70000 [3:16:50<21:06:51, 1.25s/step] Training: 13%|█▎ | 9322/70000 [3:16:51<20:47:15, 1.23s/step] Training: 13%|█▎ | 9323/70000 [3:16:52<21:17:05, 1.26s/step] Training: 13%|█▎ | 9324/70000 [3:16:53<20:55:05, 1.24s/step] Training: 13%|█▎ | 9325/70000 [3:16:55<21:27:59, 1.27s/step] Training: 13%|█▎ | 9326/70000 [3:16:56<21:15:39, 1.26s/step] Training: 13%|█▎ | 9327/70000 [3:16:57<21:46:49, 1.29s/step] Training: 13%|█▎ | 9328/70000 [3:16:59<21:14:03, 1.26s/step] Training: 13%|█▎ | 9329/70000 [3:17:00<20:51:58, 1.24s/step] Training: 13%|█▎ | 9330/70000 [3:17:01<20:37:16, 1.22s/step] Training: 13%|█▎ | 9331/70000 [3:17:02<21:08:56, 1.25s/step] Training: 13%|█▎ | 9332/70000 [3:17:03<20:49:22, 1.24s/step] Training: 13%|█▎ | 9333/70000 [3:17:05<21:17:09, 1.26s/step] Training: 13%|█▎ | 9334/70000 [3:17:06<21:06:06, 1.25s/step] Training: 13%|█▎ | 9335/70000 [3:17:07<21:40:48, 1.29s/step] Training: 13%|█▎ | 9336/70000 [3:17:09<21:22:38, 1.27s/step] Training: 13%|█▎ | 9337/70000 [3:17:10<20:57:59, 1.24s/step] Training: 13%|█▎ | 9338/70000 [3:17:11<20:41:07, 1.23s/step] Training: 13%|█▎ | 9339/70000 [3:17:12<21:12:06, 1.26s/step] Training: 13%|█▎ | 9340/70000 [3:17:13<20:54:54, 1.24s/step] Training: 13%|█▎ | 9341/70000 [3:17:15<21:20:28, 1.27s/step] Training: 13%|█▎ | 9342/70000 [3:17:16<21:37:30, 1.28s/step] Training: 13%|█▎ | 9343/70000 [3:17:17<21:57:34, 1.30s/step] Training: 13%|█▎ | 9344/70000 [3:17:19<21:25:05, 1.27s/step] Training: 13%|█▎ | 9345/70000 [3:17:20<21:02:00, 1.25s/step] Training: 13%|█▎ | 9346/70000 [3:17:21<20:44:06, 1.23s/step] Training: 13%|█▎ | 9347/70000 [3:17:22<21:16:19, 1.26s/step] Training: 13%|█▎ | 9348/70000 [3:17:24<21:03:53, 1.25s/step] Training: 13%|█▎ | 9349/70000 [3:17:25<20:58:41, 1.25s/step] Training: 13%|█▎ | 9350/70000 [3:17:26<21:23:35, 1.27s/step] Training: 13%|█▎ | 9351/70000 [3:17:27<21:14:43, 1.26s/step] Training: 13%|█▎ | 9352/70000 [3:17:29<21:31:49, 1.28s/step] Training: 13%|█▎ | 9353/70000 [3:17:30<21:05:15, 1.25s/step] Training: 13%|█▎ | 9354/70000 [3:17:31<20:47:06, 1.23s/step] Training: 13%|█▎ | 9355/70000 [3:17:32<21:14:30, 1.26s/step] Training: 13%|█▎ | 9356/70000 [3:17:34<21:30:38, 1.28s/step] Training: 13%|█▎ | 9357/70000 [3:17:35<21:44:58, 1.29s/step] Training: 13%|█▎ | 9358/70000 [3:17:36<21:27:00, 1.27s/step] Training: 13%|█▎ | 9359/70000 [3:17:38<21:52:23, 1.30s/step] Training: 13%|█▎ | 9360/70000 [3:17:39<22:01:47, 1.31s/step] Training: 13%|█▎ | 9361/70000 [3:17:40<21:26:58, 1.27s/step] Training: 13%|█▎ | 9362/70000 [3:17:41<21:00:26, 1.25s/step] Training: 13%|█▎ | 9363/70000 [3:17:43<21:22:51, 1.27s/step] Training: 13%|█▎ | 9364/70000 [3:17:44<21:36:20, 1.28s/step] Training: 13%|█▎ | 9365/70000 [3:17:45<21:08:13, 1.25s/step] Training: 13%|█▎ | 9366/70000 [3:17:47<21:34:02, 1.28s/step] Training: 13%|█▎ | 9367/70000 [3:17:48<21:57:08, 1.30s/step] Training: 13%|█▎ | 9368/70000 [3:17:49<21:32:10, 1.28s/step] Training: 13%|█▎ | 9369/70000 [3:17:50<21:04:40, 1.25s/step] Training: 13%|█▎ | 9370/70000 [3:17:52<20:45:53, 1.23s/step] Training: 13%|█▎ | 9371/70000 [3:17:53<21:14:27, 1.26s/step] Training: 13%|█▎ | 9372/70000 [3:17:54<21:03:38, 1.25s/step] Training: 13%|█▎ | 9373/70000 [3:17:55<21:28:48, 1.28s/step] Training: 13%|█▎ | 9374/70000 [3:17:57<21:45:37, 1.29s/step] Training: 13%|█▎ | 9375/70000 [3:17:58<22:05:42, 1.31s/step] Training: 13%|█▎ | 9376/70000 [3:17:59<21:38:09, 1.28s/step] Training: 13%|█▎ | 9377/70000 [3:18:00<21:09:09, 1.26s/step] Training: 13%|█▎ | 9378/70000 [3:18:02<20:48:48, 1.24s/step] Training: 13%|█▎ | 9379/70000 [3:18:03<21:17:42, 1.26s/step] Training: 13%|█▎ | 9380/70000 [3:18:04<21:01:01, 1.25s/step] Training: 13%|█▎ | 9381/70000 [3:18:05<20:46:52, 1.23s/step] Training: 13%|█▎ | 9382/70000 [3:18:07<21:15:48, 1.26s/step] Training: 13%|█▎ | 9383/70000 [3:18:08<21:07:37, 1.25s/step] Training: 13%|█▎ | 9384/70000 [3:18:09<21:27:10, 1.27s/step] Training: 13%|█▎ | 9385/70000 [3:18:10<21:01:13, 1.25s/step] Training: 13%|█▎ | 9386/70000 [3:18:12<20:42:23, 1.23s/step] Training: 13%|█▎ | 9387/70000 [3:18:13<21:25:25, 1.27s/step] Training: 13%|█▎ | 9388/70000 [3:18:14<21:42:20, 1.29s/step] Training: 13%|█▎ | 9389/70000 [3:18:16<21:25:51, 1.27s/step] Training: 13%|█▎ | 9390/70000 [3:18:17<21:11:33, 1.26s/step] Training: 13%|█▎ | 9391/70000 [3:18:18<21:40:39, 1.29s/step] Training: 13%|█▎ | 9392/70000 [3:18:20<21:49:29, 1.30s/step] Training: 13%|█▎ | 9393/70000 [3:18:21<21:18:15, 1.27s/step] Training: 13%|█▎ | 9394/70000 [3:18:22<20:54:03, 1.24s/step] Training: 13%|█▎ | 9395/70000 [3:18:23<21:21:06, 1.27s/step] Training: 13%|█▎ | 9396/70000 [3:18:25<21:38:26, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=59026 Training: 13%|█▎ | 9397/70000 [3:18:26<21:08:42, 1.26s/step] Training: 13%|█▎ | 9398/70000 [3:18:27<21:40:56, 1.29s/step] Training: 13%|█▎ | 9399/70000 [3:18:28<22:00:02, 1.31s/step] Training: 13%|█▎ | 9400/70000 [3:18:30<21:35:23, 1.28s/step]INFO 2026-03-12 23:28:22 ot_train.py:435 step:9K smpl:602K ep:2K epch:7.97 loss:0.186 grdn:14.297 lr:2.4e-05 updt_s:1.245 data_s:0.019 Training: 13%|█▎ | 9401/70000 [3:18:31<21:05:36, 1.25s/step] Training: 13%|█▎ | 9402/70000 [3:18:32<20:45:41, 1.23s/step] Training: 13%|█▎ | 9403/70000 [3:18:33<21:17:29, 1.26s/step] Training: 13%|█▎ | 9404/70000 [3:18:35<21:07:08, 1.25s/step] Training: 13%|█▎ | 9405/70000 [3:18:36<20:47:42, 1.24s/step] Training: 13%|█▎ | 9406/70000 [3:18:37<20:34:01, 1.22s/step] Training: 13%|█▎ | 9407/70000 [3:18:38<21:47:40, 1.29s/step] Training: 13%|█▎ | 9408/70000 [3:18:40<21:20:54, 1.27s/step] Training: 13%|█▎ | 9409/70000 [3:18:41<20:57:57, 1.25s/step] Training: 13%|█▎ | 9410/70000 [3:18:42<20:41:45, 1.23s/step] Training: 13%|█▎ | 9411/70000 [3:18:43<21:12:58, 1.26s/step] Training: 13%|█▎ | 9412/70000 [3:18:45<20:54:35, 1.24s/step] Training: 13%|█▎ | 9413/70000 [3:18:46<20:47:53, 1.24s/step] Training: 13%|█▎ | 9414/70000 [3:18:47<21:16:00, 1.26s/step] Training: 13%|█▎ | 9415/70000 [3:18:48<21:08:06, 1.26s/step] Training: 13%|█▎ | 9416/70000 [3:18:50<21:28:36, 1.28s/step] Training: 13%|█▎ | 9417/70000 [3:18:51<21:02:59, 1.25s/step] Training: 13%|█▎ | 9418/70000 [3:18:52<20:44:03, 1.23s/step] Training: 13%|█▎ | 9419/70000 [3:18:53<21:22:57, 1.27s/step] Training: 13%|█▎ | 9420/70000 [3:18:55<21:38:47, 1.29s/step] Training: 13%|█▎ | 9421/70000 [3:18:56<21:19:56, 1.27s/step] Training: 13%|█▎ | 9422/70000 [3:18:57<20:59:36, 1.25s/step] Training: 13%|█▎ | 9423/70000 [3:18:59<21:33:45, 1.28s/step] Training: 13%|█▎ | 9424/70000 [3:19:00<21:42:46, 1.29s/step] Training: 13%|█▎ | 9425/70000 [3:19:01<21:11:47, 1.26s/step] Training: 13%|█▎ | 9426/70000 [3:19:02<20:49:56, 1.24s/step] Training: 13%|█▎ | 9427/70000 [3:19:04<21:17:49, 1.27s/step] Training: 13%|█▎ | 9428/70000 [3:19:05<21:34:06, 1.28s/step] Training: 13%|█▎ | 9429/70000 [3:19:06<21:07:26, 1.26s/step] Training: 13%|█▎ | 9430/70000 [3:19:07<21:40:39, 1.29s/step] Training: 13%|█▎ | 9431/70000 [3:19:09<21:58:50, 1.31s/step] Training: 13%|█▎ | 9432/70000 [3:19:10<21:31:39, 1.28s/step] Training: 13%|█▎ | 9433/70000 [3:19:11<21:03:22, 1.25s/step] Training: 13%|█▎ | 9434/70000 [3:19:12<20:42:49, 1.23s/step] Training: 13%|█▎ | 9435/70000 [3:19:14<21:13:25, 1.26s/step] Training: 13%|█▎ | 9436/70000 [3:19:15<21:03:31, 1.25s/step] Training: 13%|█▎ | 9437/70000 [3:19:16<21:27:29, 1.28s/step] Training: 13%|█▎ | 9438/70000 [3:19:17<21:04:07, 1.25s/step] Training: 13%|█▎ | 9439/70000 [3:19:19<22:15:32, 1.32s/step] Training: 13%|█▎ | 9440/70000 [3:19:21<26:48:38, 1.59s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 13%|█▎ | 9441/70000 [3:19:25<37:42:59, 2.24s/step] Training: 13%|█▎ | 9442/70000 [3:19:26<32:23:38, 1.93s/step] Training: 13%|█▎ | 9443/70000 [3:19:28<29:41:24, 1.77s/step] Training: 13%|█▎ | 9444/70000 [3:19:29<27:10:50, 1.62s/step] Training: 13%|█▎ | 9445/70000 [3:19:30<25:23:34, 1.51s/step] Training: 13%|█▎ | 9446/70000 [3:19:31<23:58:52, 1.43s/step] Training: 13%|█▎ | 9447/70000 [3:19:33<23:35:52, 1.40s/step] Training: 13%|█▎ | 9448/70000 [3:19:34<23:29:23, 1.40s/step] Training: 13%|█▎ | 9449/70000 [3:19:35<22:26:49, 1.33s/step] Training: 14%|█▎ | 9450/70000 [3:19:36<21:43:18, 1.29s/step] Training: 14%|█▎ | 9451/70000 [3:19:38<22:09:20, 1.32s/step] Training: 14%|█▎ | 9452/70000 [3:19:39<22:14:22, 1.32s/step] Training: 14%|█▎ | 9453/70000 [3:19:40<21:51:49, 1.30s/step] Training: 14%|█▎ | 9454/70000 [3:19:42<21:53:27, 1.30s/step] Training: 14%|█▎ | 9455/70000 [3:19:43<22:12:19, 1.32s/step] Training: 14%|█▎ | 9456/70000 [3:19:44<22:15:33, 1.32s/step] Training: 14%|█▎ | 9457/70000 [3:19:46<21:36:23, 1.28s/step] Training: 14%|█▎ | 9458/70000 [3:19:47<21:05:48, 1.25s/step] Training: 14%|█▎ | 9459/70000 [3:19:48<21:29:51, 1.28s/step] Training: 14%|█▎ | 9460/70000 [3:19:49<21:47:48, 1.30s/step] Training: 14%|█▎ | 9461/70000 [3:19:51<21:17:29, 1.27s/step] Training: 14%|█▎ | 9462/70000 [3:19:52<22:23:53, 1.33s/step] Training: 14%|█▎ | 9463/70000 [3:19:53<22:30:17, 1.34s/step] Training: 14%|█▎ | 9464/70000 [3:19:55<21:53:04, 1.30s/step] Training: 14%|█▎ | 9465/70000 [3:19:56<21:20:08, 1.27s/step] Training: 14%|█▎ | 9466/70000 [3:19:57<20:59:18, 1.25s/step] Training: 14%|█▎ | 9467/70000 [3:19:58<21:35:24, 1.28s/step] Training: 14%|█▎ | 9468/70000 [3:20:00<21:57:51, 1.31s/step] Training: 14%|█▎ | 9469/70000 [3:20:01<22:08:00, 1.32s/step] Training: 14%|█▎ | 9470/70000 [3:20:02<21:40:30, 1.29s/step] Training: 14%|█▎ | 9471/70000 [3:20:04<22:01:16, 1.31s/step] Training: 14%|█▎ | 9472/70000 [3:20:05<21:27:24, 1.28s/step] Training: 14%|█▎ | 9473/70000 [3:20:06<21:03:38, 1.25s/step] Training: 14%|█▎ | 9474/70000 [3:20:07<20:46:43, 1.24s/step] Training: 14%|█▎ | 9475/70000 [3:20:09<21:16:46, 1.27s/step] Training: 14%|█▎ | 9476/70000 [3:20:10<21:02:15, 1.25s/step] Training: 14%|█▎ | 9477/70000 [3:20:11<21:30:21, 1.28s/step] Training: 14%|█▎ | 9478/70000 [3:20:13<21:47:17, 1.30s/step] Training: 14%|█▎ | 9479/70000 [3:20:14<21:31:18, 1.28s/step] Training: 14%|█▎ | 9480/70000 [3:20:15<21:43:53, 1.29s/step] Training: 14%|█▎ | 9481/70000 [3:20:16<21:13:55, 1.26s/step] Training: 14%|█▎ | 9482/70000 [3:20:17<20:52:18, 1.24s/step] Training: 14%|█▎ | 9483/70000 [3:20:19<21:33:31, 1.28s/step] Training: 14%|█▎ | 9484/70000 [3:20:20<21:50:10, 1.30s/step] Training: 14%|█▎ | 9485/70000 [3:20:21<21:33:41, 1.28s/step] Training: 14%|█▎ | 9486/70000 [3:20:23<21:49:04, 1.30s/step] Training: 14%|█▎ | 9487/70000 [3:20:24<22:08:35, 1.32s/step] Training: 14%|█▎ | 9488/70000 [3:20:25<22:10:50, 1.32s/step] Training: 14%|█▎ | 9489/70000 [3:20:27<21:31:57, 1.28s/step] Training: 14%|█▎ | 9490/70000 [3:20:28<21:04:08, 1.25s/step] Training: 14%|█▎ | 9491/70000 [3:20:29<21:28:50, 1.28s/step] Training: 14%|█▎ | 9492/70000 [3:20:30<21:44:05, 1.29s/step] Training: 14%|█▎ | 9493/70000 [3:20:32<21:12:12, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=61388 Training: 14%|█▎ | 9494/70000 [3:20:33<22:00:22, 1.31s/step] Training: 14%|█▎ | 9495/70000 [3:20:34<22:15:26, 1.32s/step] Training: 14%|█▎ | 9496/70000 [3:20:36<21:42:35, 1.29s/step] Training: 14%|█▎ | 9497/70000 [3:20:37<21:11:52, 1.26s/step] Training: 14%|█▎ | 9498/70000 [3:20:38<20:50:28, 1.24s/step] Training: 14%|█▎ | 9499/70000 [3:20:39<21:31:17, 1.28s/step] Training: 14%|█▎ | 9500/70000 [3:20:41<22:14:45, 1.32s/step]INFO 2026-03-12 23:30:33 ot_train.py:435 step:10K smpl:608K ep:2K epch:8.05 loss:0.164 grdn:13.470 lr:2.4e-05 updt_s:1.256 data_s:0.053 Training: 14%|█▎ | 9501/70000 [3:20:42<22:20:19, 1.33s/step] Training: 14%|█▎ | 9502/70000 [3:20:43<21:49:31, 1.30s/step] Training: 14%|█▎ | 9503/70000 [3:20:45<22:11:42, 1.32s/step] Training: 14%|█▎ | 9504/70000 [3:20:46<21:35:13, 1.28s/step] Training: 14%|█▎ | 9505/70000 [3:20:47<21:06:20, 1.26s/step] Training: 14%|█▎ | 9506/70000 [3:20:48<20:47:44, 1.24s/step] Training: 14%|█▎ | 9507/70000 [3:20:50<21:17:48, 1.27s/step] Training: 14%|█▎ | 9508/70000 [3:20:51<21:15:44, 1.27s/step] Training: 14%|█▎ | 9509/70000 [3:20:52<21:36:03, 1.29s/step] Training: 14%|█▎ | 9510/70000 [3:20:54<21:54:04, 1.30s/step] Training: 14%|█▎ | 9511/70000 [3:20:55<21:39:49, 1.29s/step] Training: 14%|█▎ | 9512/70000 [3:20:56<21:07:16, 1.26s/step] Training: 14%|█▎ | 9513/70000 [3:20:57<21:23:58, 1.27s/step] Training: 14%|█▎ | 9514/70000 [3:20:59<20:58:22, 1.25s/step] Training: 14%|█▎ | 9515/70000 [3:21:00<21:23:35, 1.27s/step] Training: 14%|█▎ | 9516/70000 [3:21:01<21:42:24, 1.29s/step] Training: 14%|█▎ | 9517/70000 [3:21:03<22:02:02, 1.31s/step] Training: 14%|█▎ | 9518/70000 [3:21:04<22:11:07, 1.32s/step] Training: 14%|█▎ | 9519/70000 [3:21:05<22:22:50, 1.33s/step] Training: 14%|█▎ | 9520/70000 [3:21:07<21:36:56, 1.29s/step] Training: 14%|█▎ | 9521/70000 [3:21:08<21:07:21, 1.26s/step] Training: 14%|█▎ | 9522/70000 [3:21:09<20:47:33, 1.24s/step] Training: 14%|█▎ | 9523/70000 [3:21:10<21:16:11, 1.27s/step] Training: 14%|█▎ | 9524/70000 [3:21:12<21:36:12, 1.29s/step] Training: 14%|█▎ | 9525/70000 [3:21:13<21:17:02, 1.27s/step] Training: 14%|█▎ | 9526/70000 [3:21:14<21:09:43, 1.26s/step] Training: 14%|█▎ | 9527/70000 [3:21:15<21:37:41, 1.29s/step] Training: 14%|█▎ | 9528/70000 [3:21:17<21:17:52, 1.27s/step] Training: 14%|█▎ | 9529/70000 [3:21:18<20:52:59, 1.24s/step] Training: 14%|█▎ | 9530/70000 [3:21:19<20:36:47, 1.23s/step] Training: 14%|█▎ | 9531/70000 [3:21:20<21:18:34, 1.27s/step] Training: 14%|█▎ | 9532/70000 [3:21:22<21:39:33, 1.29s/step] Training: 14%|█▎ | 9533/70000 [3:21:23<21:52:23, 1.30s/step] Training: 14%|█▎ | 9534/70000 [3:21:24<21:33:02, 1.28s/step] Training: 14%|█▎ | 9535/70000 [3:21:26<21:54:19, 1.30s/step] Training: 14%|█▎ | 9536/70000 [3:21:27<21:27:30, 1.28s/step] Training: 14%|█▎ | 9537/70000 [3:21:28<21:00:53, 1.25s/step] Training: 14%|█▎ | 9538/70000 [3:21:29<20:41:34, 1.23s/step] Training: 14%|█▎ | 9539/70000 [3:21:30<20:42:41, 1.23s/step] Training: 14%|█▎ | 9540/70000 [3:21:32<21:09:52, 1.26s/step] Training: 14%|█▎ | 9541/70000 [3:21:33<21:29:22, 1.28s/step] Training: 14%|█▎ | 9542/70000 [3:21:34<21:01:23, 1.25s/step] Training: 14%|█▎ | 9543/70000 [3:21:36<21:25:23, 1.28s/step] Training: 14%|█▎ | 9544/70000 [3:21:37<21:43:49, 1.29s/step] Training: 14%|█▎ | 9545/70000 [3:21:38<21:12:34, 1.26s/step] Training: 14%|█▎ | 9546/70000 [3:21:39<20:51:50, 1.24s/step] Training: 14%|█▎ | 9547/70000 [3:21:41<21:18:01, 1.27s/step] Training: 14%|█▎ | 9548/70000 [3:21:42<21:33:27, 1.28s/step] Training: 14%|█▎ | 9549/70000 [3:21:43<21:47:49, 1.30s/step] Training: 14%|█▎ | 9550/70000 [3:21:44<21:14:38, 1.27s/step] Training: 14%|█▎ | 9551/70000 [3:21:46<22:02:44, 1.31s/step] Training: 14%|█▎ | 9552/70000 [3:21:47<22:04:42, 1.31s/step] Training: 14%|█▎ | 9553/70000 [3:21:48<21:27:20, 1.28s/step] Training: 14%|█▎ | 9554/70000 [3:21:50<21:01:02, 1.25s/step] Training: 14%|█▎ | 9555/70000 [3:21:51<21:24:02, 1.27s/step] Training: 14%|█▎ | 9556/70000 [3:21:52<21:39:16, 1.29s/step] Training: 14%|█▎ | 9557/70000 [3:21:53<21:13:15, 1.26s/step] Training: 14%|█▎ | 9558/70000 [3:21:55<20:50:16, 1.24s/step] Training: 14%|█▎ | 9559/70000 [3:21:56<21:23:24, 1.27s/step] Training: 14%|█▎ | 9560/70000 [3:21:57<21:06:22, 1.26s/step] Training: 14%|█▎ | 9561/70000 [3:21:58<20:45:58, 1.24s/step] Training: 14%|█▎ | 9562/70000 [3:22:00<20:30:51, 1.22s/step] Training: 14%|█▎ | 9563/70000 [3:22:01<20:32:55, 1.22s/step] Training: 14%|█▎ | 9564/70000 [3:22:02<21:03:27, 1.25s/step] Training: 14%|█▎ | 9565/70000 [3:22:04<22:00:14, 1.31s/step] Training: 14%|█▎ | 9566/70000 [3:22:05<21:23:48, 1.27s/step] Training: 14%|█▎ | 9567/70000 [3:22:06<21:47:23, 1.30s/step] Training: 14%|█▎ | 9568/70000 [3:22:07<21:19:30, 1.27s/step] Training: 14%|█▎ | 9569/70000 [3:22:09<20:54:40, 1.25s/step] Training: 14%|█▎ | 9570/70000 [3:22:10<20:38:14, 1.23s/step] Training: 14%|█▎ | 9571/70000 [3:22:11<20:45:28, 1.24s/step] Training: 14%|█▎ | 9572/70000 [3:22:12<20:40:30, 1.23s/step] Training: 14%|█▎ | 9573/70000 [3:22:14<21:41:45, 1.29s/step] Training: 14%|█▎ | 9574/70000 [3:22:15<21:10:45, 1.26s/step] Training: 14%|█▎ | 9575/70000 [3:22:16<21:33:27, 1.28s/step] Training: 14%|█▎ | 9576/70000 [3:22:17<21:46:27, 1.30s/step] Training: 14%|█▎ | 9577/70000 [3:22:19<21:12:44, 1.26s/step] Training: 14%|█▎ | 9578/70000 [3:22:20<20:49:52, 1.24s/step] Training: 14%|█▎ | 9579/70000 [3:22:21<21:17:33, 1.27s/step] Training: 14%|█▎ | 9580/70000 [3:22:23<21:34:52, 1.29s/step] Training: 14%|█▎ | 9581/70000 [3:22:24<21:51:09, 1.30s/step] Training: 14%|█▎ | 9582/70000 [3:22:25<21:16:44, 1.27s/step] Training: 14%|█▎ | 9583/70000 [3:22:26<21:45:09, 1.30s/step] Training: 14%|█▎ | 9584/70000 [3:22:28<21:50:10, 1.30s/step] Training: 14%|█▎ | 9585/70000 [3:22:29<21:17:24, 1.27s/step] Training: 14%|█▎ | 9586/70000 [3:22:30<20:53:21, 1.24s/step] Training: 14%|█▎ | 9587/70000 [3:22:31<21:20:57, 1.27s/step] Training: 14%|█▎ | 9588/70000 [3:22:33<21:40:51, 1.29s/step] Training: 14%|█▎ | 9589/70000 [3:22:34<21:20:06, 1.27s/step] Training: 14%|█▎ | 9590/70000 [3:22:35<20:55:27, 1.25s/step] Training: 14%|█▎ | 9591/70000 [3:22:37<21:31:56, 1.28s/step] Training: 14%|█▎ | 9592/70000 [3:22:38<21:12:32, 1.26s/step] Training: 14%|█▎ | 9593/70000 [3:22:39<20:51:14, 1.24s/step] Training: 14%|█▎ | 9594/70000 [3:22:40<20:33:34, 1.23s/step] Training: 14%|█▎ | 9595/70000 [3:22:42<21:13:04, 1.26s/step] Training: 14%|█▎ | 9596/70000 [3:22:43<21:47:35, 1.30s/step] Training: 14%|█▎ | 9597/70000 [3:22:44<21:57:09, 1.31s/step] Training: 14%|█▎ | 9598/70000 [3:22:45<21:22:59, 1.27s/step] Training: 14%|█▎ | 9599/70000 [3:22:47<21:58:10, 1.31s/step] Training: 14%|█▎ | 9600/70000 [3:22:48<21:23:25, 1.27s/step]INFO 2026-03-12 23:32:40 ot_train.py:435 step:10K smpl:614K ep:2K epch:8.14 loss:0.158 grdn:13.068 lr:2.4e-05 updt_s:1.250 data_s:0.019 Training: 14%|█▎ | 9601/70000 [3:22:49<21:00:36, 1.25s/step] Training: 14%|█▎ | 9602/70000 [3:22:50<20:41:29, 1.23s/step] Training: 14%|█▎ | 9603/70000 [3:22:52<20:44:32, 1.24s/step] Training: 14%|█▎ | 9604/70000 [3:22:53<20:50:17, 1.24s/step] Training: 14%|█▎ | 9605/70000 [3:22:54<21:16:25, 1.27s/step] Training: 14%|█▎ | 9606/70000 [3:22:55<20:52:59, 1.24s/step] Training: 14%|█▎ | 9607/70000 [3:22:57<21:16:17, 1.27s/step] Training: 14%|█▎ | 9608/70000 [3:22:58<21:34:16, 1.29s/step] Training: 14%|█▎ | 9609/70000 [3:22:59<21:04:37, 1.26s/step] Training: 14%|█▎ | 9610/70000 [3:23:00<20:43:59, 1.24s/step] Training: 14%|█▎ | 9611/70000 [3:23:02<21:12:29, 1.26s/step] Training: 14%|█▎ | 9612/70000 [3:23:03<21:28:23, 1.28s/step] Training: 14%|█▎ | 9613/70000 [3:23:04<21:41:56, 1.29s/step] Training: 14%|█▎ | 9614/70000 [3:23:06<21:10:37, 1.26s/step] Training: 14%|█▎ | 9615/70000 [3:23:07<21:36:37, 1.29s/step] Training: 14%|█▎ | 9616/70000 [3:23:08<21:45:26, 1.30s/step] Training: 14%|█▎ | 9617/70000 [3:23:09<21:13:27, 1.27s/step] Training: 14%|█▎ | 9618/70000 [3:23:11<20:47:54, 1.24s/step] Training: 14%|█▎ | 9619/70000 [3:23:12<21:16:07, 1.27s/step] Training: 14%|█▎ | 9620/70000 [3:23:13<21:35:39, 1.29s/step] Training: 14%|█▎ | 9621/70000 [3:23:15<21:11:40, 1.26s/step] Training: 14%|█▎ | 9622/70000 [3:23:16<20:49:36, 1.24s/step] Training: 14%|█▎ | 9623/70000 [3:23:17<21:20:33, 1.27s/step] Training: 14%|█▎ | 9624/70000 [3:23:18<21:01:42, 1.25s/step] Training: 14%|█▍ | 9625/70000 [3:23:19<20:41:16, 1.23s/step] Training: 14%|█▍ | 9626/70000 [3:23:21<20:27:23, 1.22s/step] Training: 14%|█▍ | 9627/70000 [3:23:22<21:21:03, 1.27s/step] Training: 14%|█▍ | 9628/70000 [3:23:23<21:48:58, 1.30s/step] Training: 14%|█▍ | 9629/70000 [3:23:25<21:57:11, 1.31s/step] Training: 14%|█▍ | 9630/70000 [3:23:26<21:21:45, 1.27s/step] Training: 14%|█▍ | 9631/70000 [3:23:27<21:54:40, 1.31s/step] Training: 14%|█▍ | 9632/70000 [3:23:28<21:25:08, 1.28s/step] Training: 14%|█▍ | 9633/70000 [3:23:30<20:58:10, 1.25s/step] Training: 14%|█▍ | 9634/70000 [3:23:31<20:41:16, 1.23s/step] Training: 14%|█▍ | 9635/70000 [3:23:32<20:52:37, 1.25s/step] Training: 14%|█▍ | 9636/70000 [3:23:33<20:50:57, 1.24s/step] Training: 14%|█▍ | 9637/70000 [3:23:35<21:16:53, 1.27s/step] Training: 14%|█▍ | 9638/70000 [3:23:36<20:54:00, 1.25s/step] Training: 14%|█▍ | 9639/70000 [3:23:37<21:22:31, 1.27s/step] Training: 14%|█▍ | 9640/70000 [3:23:39<21:38:18, 1.29s/step] Training: 14%|█▍ | 9641/70000 [3:23:40<21:07:45, 1.26s/step] Training: 14%|█▍ | 9642/70000 [3:23:41<20:46:34, 1.24s/step] Training: 14%|█▍ | 9643/70000 [3:23:42<20:35:35, 1.23s/step] Training: 14%|█▍ | 9644/70000 [3:23:44<21:48:55, 1.30s/step] Training: 14%|█▍ | 9645/70000 [3:23:45<21:59:15, 1.31s/step] Training: 14%|█▍ | 9646/70000 [3:23:46<21:22:12, 1.27s/step] Training: 14%|█▍ | 9647/70000 [3:23:48<21:46:13, 1.30s/step] Training: 14%|█▍ | 9648/70000 [3:23:49<21:55:31, 1.31s/step] Training: 14%|█▍ | 9649/70000 [3:23:50<21:19:51, 1.27s/step] Training: 14%|█▍ | 9650/70000 [3:23:51<20:53:51, 1.25s/step] Training: 14%|█▍ | 9651/70000 [3:23:53<21:17:46, 1.27s/step] Training: 14%|█▍ | 9652/70000 [3:23:54<21:35:18, 1.29s/step] Training: 14%|█▍ | 9653/70000 [3:23:55<21:11:42, 1.26s/step] Training: 14%|█▍ | 9654/70000 [3:23:56<20:49:58, 1.24s/step] Training: 14%|█▍ | 9655/70000 [3:23:58<21:22:04, 1.27s/step] Training: 14%|█▍ | 9656/70000 [3:23:59<21:05:45, 1.26s/step] Training: 14%|█▍ | 9657/70000 [3:24:00<20:45:19, 1.24s/step] Training: 14%|█▍ | 9658/70000 [3:24:01<20:29:54, 1.22s/step] Training: 14%|█▍ | 9659/70000 [3:24:03<21:08:56, 1.26s/step] Training: 14%|█▍ | 9660/70000 [3:24:04<21:43:57, 1.30s/step] Training: 14%|█▍ | 9661/70000 [3:24:05<21:54:49, 1.31s/step] Training: 14%|█▍ | 9662/70000 [3:24:06<21:19:40, 1.27s/step] Training: 14%|█▍ | 9663/70000 [3:24:08<21:56:11, 1.31s/step] Training: 14%|█▍ | 9664/70000 [3:24:09<21:24:33, 1.28s/step] Training: 14%|█▍ | 9665/70000 [3:24:10<20:57:47, 1.25s/step] Training: 14%|█▍ | 9666/70000 [3:24:11<20:39:31, 1.23s/step] Training: 14%|█▍ | 9667/70000 [3:24:13<21:20:10, 1.27s/step] Training: 14%|█▍ | 9668/70000 [3:24:14<21:10:23, 1.26s/step] Training: 14%|█▍ | 9669/70000 [3:24:15<21:31:38, 1.28s/step] Training: 14%|█▍ | 9670/70000 [3:24:17<21:03:29, 1.26s/step] Training: 14%|█▍ | 9671/70000 [3:24:18<21:25:05, 1.28s/step] Training: 14%|█▍ | 9672/70000 [3:24:19<21:41:47, 1.29s/step] Training: 14%|█▍ | 9673/70000 [3:24:20<21:09:31, 1.26s/step] Training: 14%|█▍ | 9674/70000 [3:24:22<20:46:47, 1.24s/step] Training: 14%|█▍ | 9675/70000 [3:24:23<20:36:45, 1.23s/step] Training: 14%|█▍ | 9676/70000 [3:24:24<21:08:00, 1.26s/step] Training: 14%|█▍ | 9677/70000 [3:24:25<21:25:11, 1.28s/step] Training: 14%|█▍ | 9678/70000 [3:24:27<20:58:26, 1.25s/step] Training: 14%|█▍ | 9679/70000 [3:24:28<21:27:03, 1.28s/step] Training: 14%|█▍ | 9680/70000 [3:24:29<21:38:00, 1.29s/step] Training: 14%|█▍ | 9681/70000 [3:24:31<21:07:48, 1.26s/step] Training: 14%|█▍ | 9682/70000 [3:24:32<20:45:55, 1.24s/step] Training: 14%|█▍ | 9683/70000 [3:24:33<21:15:39, 1.27s/step] Training: 14%|█▍ | 9684/70000 [3:24:34<21:35:17, 1.29s/step] Training: 14%|█▍ | 9685/70000 [3:24:36<21:37:22, 1.29s/step] Training: 14%|█▍ | 9686/70000 [3:24:37<21:08:36, 1.26s/step] Training: 14%|█▍ | 9687/70000 [3:24:38<21:36:45, 1.29s/step] Training: 14%|█▍ | 9688/70000 [3:24:39<21:16:47, 1.27s/step] Training: 14%|█▍ | 9689/70000 [3:24:41<20:52:45, 1.25s/step] Training: 14%|█▍ | 9690/70000 [3:24:42<20:36:05, 1.23s/step] Training: 14%|█▍ | 9691/70000 [3:24:43<21:06:18, 1.26s/step] Training: 14%|█▍ | 9692/70000 [3:24:45<21:41:47, 1.30s/step] Training: 14%|█▍ | 9693/70000 [3:24:46<21:09:49, 1.26s/step] Training: 14%|█▍ | 9694/70000 [3:24:47<20:48:59, 1.24s/step] Training: 14%|█▍ | 9695/70000 [3:24:48<21:37:36, 1.29s/step] Training: 14%|█▍ | 9696/70000 [3:24:50<21:16:36, 1.27s/step] Training: 14%|█▍ | 9697/70000 [3:24:51<20:51:58, 1.25s/step] Training: 14%|█▍ | 9698/70000 [3:24:52<20:35:58, 1.23s/step] Training: 14%|█▍ | 9699/70000 [3:24:53<21:17:02, 1.27s/step] Training: 14%|█▍ | 9700/70000 [3:24:55<21:12:44, 1.27s/step]INFO 2026-03-12 23:34:47 ot_train.py:435 step:10K smpl:621K ep:2K epch:8.22 loss:0.158 grdn:13.074 lr:2.4e-05 updt_s:1.245 data_s:0.019 Training: 14%|█▍ | 9701/70000 [3:24:56<20:50:23, 1.24s/step] Training: 14%|█▍ | 9702/70000 [3:24:57<20:32:52, 1.23s/step] Training: 14%|█▍ | 9703/70000 [3:24:58<21:04:43, 1.26s/step] Training: 14%|█▍ | 9704/70000 [3:25:00<21:27:34, 1.28s/step] Training: 14%|█▍ | 9705/70000 [3:25:01<21:01:41, 1.26s/step] Training: 14%|█▍ | 9706/70000 [3:25:02<20:42:17, 1.24s/step] Training: 14%|█▍ | 9707/70000 [3:25:03<20:33:26, 1.23s/step] Training: 14%|█▍ | 9708/70000 [3:25:05<21:04:41, 1.26s/step] Training: 14%|█▍ | 9709/70000 [3:25:06<20:56:06, 1.25s/step] Training: 14%|█▍ | 9710/70000 [3:25:07<20:37:19, 1.23s/step] Training: 14%|█▍ | 9711/70000 [3:25:08<21:08:32, 1.26s/step] Training: 14%|█▍ | 9712/70000 [3:25:10<21:31:01, 1.28s/step] Training: 14%|█▍ | 9713/70000 [3:25:11<21:39:06, 1.29s/step] Training: 14%|█▍ | 9714/70000 [3:25:12<21:07:34, 1.26s/step] Training: 14%|█▍ | 9715/70000 [3:25:13<21:29:51, 1.28s/step] Training: 14%|█▍ | 9716/70000 [3:25:15<21:42:53, 1.30s/step] Training: 14%|█▍ | 9717/70000 [3:25:16<21:26:58, 1.28s/step] Training: 14%|█▍ | 9718/70000 [3:25:17<21:00:59, 1.26s/step] Training: 14%|█▍ | 9719/70000 [3:25:18<20:46:38, 1.24s/step] Training: 14%|█▍ | 9720/70000 [3:25:20<20:56:03, 1.25s/step] Training: 14%|█▍ | 9721/70000 [3:25:21<21:18:37, 1.27s/step] Training: 14%|█▍ | 9722/70000 [3:25:22<20:52:54, 1.25s/step] Training: 14%|█▍ | 9723/70000 [3:25:24<21:19:06, 1.27s/step] Training: 14%|█▍ | 9724/70000 [3:25:25<21:49:04, 1.30s/step] Training: 14%|█▍ | 9725/70000 [3:25:26<21:14:07, 1.27s/step] Training: 14%|█▍ | 9726/70000 [3:25:27<21:30:28, 1.28s/step] Training: 14%|█▍ | 9727/70000 [3:25:29<21:43:37, 1.30s/step] Training: 14%|█▍ | 9728/70000 [3:25:30<21:25:45, 1.28s/step] Training: 14%|█▍ | 9729/70000 [3:25:31<21:34:29, 1.29s/step] Training: 14%|█▍ | 9730/70000 [3:25:32<21:04:24, 1.26s/step] Training: 14%|█▍ | 9731/70000 [3:25:34<21:36:01, 1.29s/step] Training: 14%|█▍ | 9732/70000 [3:25:35<21:25:26, 1.28s/step] Training: 14%|█▍ | 9733/70000 [3:25:36<21:42:05, 1.30s/step] Training: 14%|█▍ | 9734/70000 [3:25:38<21:08:43, 1.26s/step] Training: 14%|█▍ | 9735/70000 [3:25:39<21:30:12, 1.28s/step] Training: 14%|█▍ | 9736/70000 [3:25:40<21:50:32, 1.30s/step] Training: 14%|█▍ | 9737/70000 [3:25:41<21:12:05, 1.27s/step] Training: 14%|█▍ | 9738/70000 [3:25:43<20:49:32, 1.24s/step] Training: 14%|█▍ | 9739/70000 [3:25:44<20:37:58, 1.23s/step] Training: 14%|█▍ | 9740/70000 [3:25:45<21:08:41, 1.26s/step] Training: 14%|█▍ | 9741/70000 [3:25:46<20:53:23, 1.25s/step] Training: 14%|█▍ | 9742/70000 [3:25:48<20:36:51, 1.23s/step] Training: 14%|█▍ | 9743/70000 [3:25:49<21:04:32, 1.26s/step] Training: 14%|█▍ | 9744/70000 [3:25:50<21:33:38, 1.29s/step] Training: 14%|█▍ | 9745/70000 [3:25:51<21:01:53, 1.26s/step] Training: 14%|█▍ | 9746/70000 [3:25:53<20:41:01, 1.24s/step] Training: 14%|█▍ | 9747/70000 [3:25:54<21:16:50, 1.27s/step] Training: 14%|█▍ | 9748/70000 [3:25:55<21:38:54, 1.29s/step] Training: 14%|█▍ | 9749/70000 [3:25:57<21:20:23, 1.28s/step] Training: 14%|█▍ | 9750/70000 [3:25:58<20:54:08, 1.25s/step] Training: 14%|█▍ | 9751/70000 [3:25:59<20:45:10, 1.24s/step] Training: 14%|█▍ | 9752/70000 [3:26:00<21:17:28, 1.27s/step] Training: 14%|█▍ | 9753/70000 [3:26:02<20:49:33, 1.24s/step] Training: 14%|█▍ | 9754/70000 [3:26:03<20:32:34, 1.23s/step] Training: 14%|█▍ | 9755/70000 [3:26:04<20:59:48, 1.25s/step] Training: 14%|█▍ | 9756/70000 [3:26:05<21:33:47, 1.29s/step] Training: 14%|█▍ | 9757/70000 [3:26:07<21:03:19, 1.26s/step] Training: 14%|█▍ | 9758/70000 [3:26:08<21:21:04, 1.28s/step] Training: 14%|█▍ | 9759/70000 [3:26:09<21:36:14, 1.29s/step] Training: 14%|█▍ | 9760/70000 [3:26:11<21:51:44, 1.31s/step] Training: 14%|█▍ | 9761/70000 [3:26:12<21:16:20, 1.27s/step] Training: 14%|█▍ | 9762/70000 [3:26:13<20:51:51, 1.25s/step] Training: 14%|█▍ | 9763/70000 [3:26:14<21:26:58, 1.28s/step] Training: 14%|█▍ | 9764/70000 [3:26:16<21:13:44, 1.27s/step] Training: 14%|█▍ | 9765/70000 [3:26:17<20:49:56, 1.25s/step] Training: 14%|█▍ | 9766/70000 [3:26:18<20:34:20, 1.23s/step] Training: 14%|█▍ | 9767/70000 [3:26:19<21:04:47, 1.26s/step] Training: 14%|█▍ | 9768/70000 [3:26:21<21:36:51, 1.29s/step] Training: 14%|█▍ | 9769/70000 [3:26:22<21:03:01, 1.26s/step] Training: 14%|█▍ | 9770/70000 [3:26:23<20:42:29, 1.24s/step] Training: 14%|█▍ | 9771/70000 [3:26:24<20:34:16, 1.23s/step] Training: 14%|█▍ | 9772/70000 [3:26:26<21:04:27, 1.26s/step] Training: 14%|█▍ | 9773/70000 [3:26:27<20:56:03, 1.25s/step] Training: 14%|█▍ | 9774/70000 [3:26:28<20:37:11, 1.23s/step] Training: 14%|█▍ | 9775/70000 [3:26:29<20:35:20, 1.23s/step] Training: 14%|█▍ | 9776/70000 [3:26:31<21:11:47, 1.27s/step] Training: 14%|█▍ | 9777/70000 [3:26:32<20:45:22, 1.24s/step] Training: 14%|█▍ | 9778/70000 [3:26:33<20:29:33, 1.23s/step] Training: 14%|█▍ | 9779/70000 [3:26:34<21:03:45, 1.26s/step] Training: 14%|█▍ | 9780/70000 [3:26:36<21:25:23, 1.28s/step] Training: 14%|█▍ | 9781/70000 [3:26:37<21:01:45, 1.26s/step] Training: 14%|█▍ | 9782/70000 [3:26:38<20:41:17, 1.24s/step] Training: 14%|█▍ | 9783/70000 [3:26:39<20:37:49, 1.23s/step] Training: 14%|█▍ | 9784/70000 [3:26:41<21:13:20, 1.27s/step] Training: 14%|█▍ | 9785/70000 [3:26:42<20:49:20, 1.24s/step] Training: 14%|█▍ | 9786/70000 [3:26:43<20:33:03, 1.23s/step] Training: 14%|█▍ | 9787/70000 [3:26:44<21:06:56, 1.26s/step] Training: 14%|█▍ | 9788/70000 [3:26:46<21:40:31, 1.30s/step] Training: 14%|█▍ | 9789/70000 [3:26:47<21:50:32, 1.31s/step] Training: 14%|█▍ | 9790/70000 [3:26:48<21:14:40, 1.27s/step] Training: 14%|█▍ | 9791/70000 [3:26:50<21:31:28, 1.29s/step] Training: 14%|█▍ | 9792/70000 [3:26:51<21:29:05, 1.28s/step] Training: 14%|█▍ | 9793/70000 [3:26:52<20:57:21, 1.25s/step] Training: 14%|█▍ | 9794/70000 [3:26:53<20:39:13, 1.23s/step] Training: 14%|█▍ | 9795/70000 [3:26:55<21:26:04, 1.28s/step] Training: 14%|█▍ | 9796/70000 [3:26:56<21:18:13, 1.27s/step] Training: 14%|█▍ | 9797/70000 [3:26:57<21:33:01, 1.29s/step] Training: 14%|█▍ | 9798/70000 [3:26:58<21:02:38, 1.26s/step] Training: 14%|█▍ | 9799/70000 [3:27:00<21:25:14, 1.28s/step] Training: 14%|█▍ | 9800/70000 [3:27:01<21:48:08, 1.30s/step]INFO 2026-03-12 23:36:53 ot_train.py:435 step:10K smpl:627K ep:2K epch:8.31 loss:0.167 grdn:12.913 lr:2.4e-05 updt_s:1.243 data_s:0.019 Training: 14%|█▍ | 9801/70000 [3:27:02<21:09:58, 1.27s/step] Training: 14%|█▍ | 9802/70000 [3:27:03<20:46:05, 1.24s/step] Training: 14%|█▍ | 9803/70000 [3:27:05<20:36:23, 1.23s/step] Training: 14%|█▍ | 9804/70000 [3:27:06<20:29:43, 1.23s/step] Training: 14%|█▍ | 9805/70000 [3:27:07<20:49:46, 1.25s/step] Training: 14%|█▍ | 9806/70000 [3:27:08<20:35:14, 1.23s/step] Training: 14%|█▍ | 9807/70000 [3:27:10<20:37:10, 1.23s/step] Training: 14%|█▍ | 9808/70000 [3:27:11<21:15:12, 1.27s/step] Training: 14%|█▍ | 9809/70000 [3:27:12<20:46:52, 1.24s/step] Training: 14%|█▍ | 9810/70000 [3:27:13<20:29:56, 1.23s/step] Training: 14%|█▍ | 9811/70000 [3:27:15<21:02:40, 1.26s/step] Training: 14%|█▍ | 9812/70000 [3:27:16<21:23:30, 1.28s/step] Training: 14%|█▍ | 9813/70000 [3:27:17<21:03:18, 1.26s/step] Training: 14%|█▍ | 9814/70000 [3:27:18<20:42:49, 1.24s/step] Training: 14%|█▍ | 9815/70000 [3:27:20<20:36:44, 1.23s/step] Training: 14%|█▍ | 9816/70000 [3:27:21<21:15:48, 1.27s/step] Training: 14%|█▍ | 9817/70000 [3:27:22<20:48:38, 1.24s/step] Training: 14%|█▍ | 9818/70000 [3:27:23<20:31:45, 1.23s/step] Training: 14%|█▍ | 9819/70000 [3:27:25<21:04:10, 1.26s/step] Training: 14%|█▍ | 9820/70000 [3:27:26<21:38:41, 1.29s/step] Training: 14%|█▍ | 9821/70000 [3:27:27<21:48:03, 1.30s/step] Training: 14%|█▍ | 9822/70000 [3:27:28<21:13:34, 1.27s/step] Training: 14%|█▍ | 9823/70000 [3:27:30<21:29:55, 1.29s/step] Training: 14%|█▍ | 9824/70000 [3:27:31<21:26:04, 1.28s/step] Training: 14%|█▍ | 9825/70000 [3:27:32<20:55:06, 1.25s/step] Training: 14%|█▍ | 9826/70000 [3:27:33<20:36:16, 1.23s/step] Training: 14%|█▍ | 9827/70000 [3:27:35<21:11:09, 1.27s/step] Training: 14%|█▍ | 9828/70000 [3:27:36<21:04:00, 1.26s/step] Training: 14%|█▍ | 9829/70000 [3:27:37<21:27:11, 1.28s/step] Training: 14%|█▍ | 9830/70000 [3:27:39<20:59:18, 1.26s/step] Training: 14%|█▍ | 9831/70000 [3:27:40<21:20:51, 1.28s/step] Training: 14%|█▍ | 9832/70000 [3:27:41<21:43:22, 1.30s/step] Training: 14%|█▍ | 9833/70000 [3:27:42<21:10:19, 1.27s/step] Training: 14%|█▍ | 9834/70000 [3:27:44<20:48:01, 1.24s/step] Training: 14%|█▍ | 9835/70000 [3:27:45<20:47:03, 1.24s/step] Training: 14%|█▍ | 9836/70000 [3:27:46<21:14:02, 1.27s/step] Training: 14%|█▍ | 9837/70000 [3:27:47<21:02:56, 1.26s/step] Training: 14%|█▍ | 9838/70000 [3:27:49<20:41:25, 1.24s/step] Training: 14%|█▍ | 9839/70000 [3:27:50<20:32:11, 1.23s/step] Training: 14%|█▍ | 9840/70000 [3:27:51<21:09:13, 1.27s/step] Training: 14%|█▍ | 9841/70000 [3:27:52<20:42:32, 1.24s/step] Training: 14%|█▍ | 9842/70000 [3:27:54<20:27:22, 1.22s/step] Training: 14%|█▍ | 9843/70000 [3:27:55<21:02:28, 1.26s/step] Training: 14%|█▍ | 9844/70000 [3:27:56<21:56:40, 1.31s/step] Training: 14%|█▍ | 9845/70000 [3:27:58<21:55:54, 1.31s/step] Training: 14%|█▍ | 9846/70000 [3:27:59<21:19:09, 1.28s/step] Training: 14%|█▍ | 9847/70000 [3:28:00<21:06:12, 1.26s/step] Training: 14%|█▍ | 9848/70000 [3:28:01<21:33:45, 1.29s/step] Training: 14%|█▍ | 9849/70000 [3:28:03<20:59:36, 1.26s/step] Training: 14%|█▍ | 9850/70000 [3:28:04<20:41:39, 1.24s/step] Training: 14%|█▍ | 9851/70000 [3:28:05<21:09:54, 1.27s/step] Training: 14%|█▍ | 9852/70000 [3:28:06<21:07:50, 1.26s/step] Training: 14%|█▍ | 9853/70000 [3:28:08<21:45:01, 1.30s/step] Training: 14%|█▍ | 9854/70000 [3:28:09<21:10:58, 1.27s/step] Training: 14%|█▍ | 9855/70000 [3:28:10<20:46:47, 1.24s/step] Training: 14%|█▍ | 9856/70000 [3:28:11<21:09:53, 1.27s/step] Training: 14%|█▍ | 9857/70000 [3:28:13<20:46:18, 1.24s/step] Training: 14%|█▍ | 9858/70000 [3:28:14<20:28:45, 1.23s/step] Training: 14%|█▍ | 9859/70000 [3:28:15<20:59:18, 1.26s/step] Training: 14%|█▍ | 9860/70000 [3:28:16<20:50:29, 1.25s/step] Training: 14%|█▍ | 9861/70000 [3:28:18<21:16:45, 1.27s/step] Training: 14%|█▍ | 9862/70000 [3:28:19<20:52:12, 1.25s/step] Training: 14%|█▍ | 9863/70000 [3:28:20<20:34:45, 1.23s/step] Training: 14%|█▍ | 9864/70000 [3:28:22<21:45:48, 1.30s/step] Training: 14%|█▍ | 9865/70000 [3:28:23<21:09:16, 1.27s/step] Training: 14%|█▍ | 9866/70000 [3:28:24<20:45:10, 1.24s/step] Training: 14%|█▍ | 9867/70000 [3:28:25<20:36:02, 1.23s/step] Training: 14%|█▍ | 9868/70000 [3:28:27<21:04:28, 1.26s/step] Training: 14%|█▍ | 9869/70000 [3:28:28<21:36:48, 1.29s/step] Training: 14%|█▍ | 9870/70000 [3:28:29<21:05:48, 1.26s/step] Training: 14%|█▍ | 9871/70000 [3:28:30<20:43:21, 1.24s/step] Training: 14%|█▍ | 9872/70000 [3:28:32<21:51:11, 1.31s/step] Training: 14%|█▍ | 9873/70000 [3:28:33<21:11:16, 1.27s/step] Training: 14%|█▍ | 9874/70000 [3:28:34<20:47:46, 1.25s/step] Training: 14%|█▍ | 9875/70000 [3:28:35<21:10:33, 1.27s/step] Training: 14%|█▍ | 9876/70000 [3:28:37<21:30:53, 1.29s/step] Training: 14%|█▍ | 9877/70000 [3:28:38<21:42:44, 1.30s/step] Training: 14%|█▍ | 9878/70000 [3:28:39<21:09:09, 1.27s/step] Training: 14%|█▍ | 9879/70000 [3:28:40<20:46:19, 1.24s/step] Training: 14%|█▍ | 9880/70000 [3:28:42<21:18:10, 1.28s/step] Training: 14%|█▍ | 9881/70000 [3:28:43<20:48:20, 1.25s/step] Training: 14%|█▍ | 9882/70000 [3:28:44<20:32:00, 1.23s/step] Training: 14%|█▍ | 9883/70000 [3:28:45<21:00:30, 1.26s/step] Training: 14%|█▍ | 9884/70000 [3:28:47<20:56:29, 1.25s/step] Training: 14%|█▍ | 9885/70000 [3:28:48<21:24:00, 1.28s/step] Training: 14%|█▍ | 9886/70000 [3:28:49<20:59:04, 1.26s/step] Training: 14%|█▍ | 9887/70000 [3:28:50<20:38:53, 1.24s/step] Training: 14%|█▍ | 9888/70000 [3:28:52<20:44:28, 1.24s/step] Training: 14%|█▍ | 9889/70000 [3:28:53<20:24:57, 1.22s/step] Training: 14%|█▍ | 9890/70000 [3:28:54<20:14:34, 1.21s/step] Training: 14%|█▍ | 9891/70000 [3:28:55<20:49:32, 1.25s/step] Training: 14%|█▍ | 9892/70000 [3:28:57<20:44:22, 1.24s/step] Training: 14%|█▍ | 9893/70000 [3:28:58<21:11:09, 1.27s/step] Training: 14%|█▍ | 9894/70000 [3:28:59<20:46:12, 1.24s/step] Training: 14%|█▍ | 9895/70000 [3:29:00<20:29:26, 1.23s/step] Training: 14%|█▍ | 9896/70000 [3:29:02<21:21:48, 1.28s/step] Training: 14%|█▍ | 9897/70000 [3:29:03<20:51:31, 1.25s/step] Training: 14%|█▍ | 9898/70000 [3:29:04<20:32:59, 1.23s/step] Training: 14%|█▍ | 9899/70000 [3:29:05<20:25:40, 1.22s/step] Training: 14%|█▍ | 9900/70000 [3:29:07<21:01:43, 1.26s/step]INFO 2026-03-12 23:38:59 ot_train.py:435 step:10K smpl:634K ep:2K epch:8.39 loss:0.155 grdn:13.287 lr:2.4e-05 updt_s:1.236 data_s:0.018 Training: 14%|█▍ | 9901/70000 [3:29:08<21:37:42, 1.30s/step] Training: 14%|█▍ | 9902/70000 [3:29:09<21:05:03, 1.26s/step] Training: 14%|█▍ | 9903/70000 [3:29:10<20:42:23, 1.24s/step] Training: 14%|█▍ | 9904/70000 [3:29:12<21:18:26, 1.28s/step] Training: 14%|█▍ | 9905/70000 [3:29:13<20:49:36, 1.25s/step] Training: 14%|█▍ | 9906/70000 [3:29:14<20:31:43, 1.23s/step] Training: 14%|█▍ | 9907/70000 [3:29:15<20:59:08, 1.26s/step] Training: 14%|█▍ | 9908/70000 [3:29:17<21:21:36, 1.28s/step] Training: 14%|█▍ | 9909/70000 [3:29:18<20:59:42, 1.26s/step] Training: 14%|█▍ | 9910/70000 [3:29:19<21:24:34, 1.28s/step] Training: 14%|█▍ | 9911/70000 [3:29:21<20:57:47, 1.26s/step] Training: 14%|█▍ | 9912/70000 [3:29:22<21:25:29, 1.28s/step] Training: 14%|█▍ | 9913/70000 [3:29:23<20:55:58, 1.25s/step] Training: 14%|█▍ | 9914/70000 [3:29:24<20:34:57, 1.23s/step] Training: 14%|█▍ | 9915/70000 [3:29:26<21:04:50, 1.26s/step] Training: 14%|█▍ | 9916/70000 [3:29:27<20:55:18, 1.25s/step] Training: 14%|█▍ | 9917/70000 [3:29:28<21:17:36, 1.28s/step] Training: 14%|█▍ | 9918/70000 [3:29:29<21:30:35, 1.29s/step] Training: 14%|█▍ | 9919/70000 [3:29:31<20:59:58, 1.26s/step] Training: 14%|█▍ | 9920/70000 [3:29:32<21:06:28, 1.26s/step] Training: 14%|█▍ | 9921/70000 [3:29:33<20:45:23, 1.24s/step] Training: 14%|█▍ | 9922/70000 [3:29:34<20:27:55, 1.23s/step] Training: 14%|█▍ | 9923/70000 [3:29:36<20:58:16, 1.26s/step] Training: 14%|█▍ | 9924/70000 [3:29:37<20:51:57, 1.25s/step] Training: 14%|█▍ | 9925/70000 [3:29:38<21:18:31, 1.28s/step] Training: 14%|█▍ | 9926/70000 [3:29:39<20:53:33, 1.25s/step] Training: 14%|█▍ | 9927/70000 [3:29:41<20:34:58, 1.23s/step] Training: 14%|█▍ | 9928/70000 [3:29:42<21:20:42, 1.28s/step] Training: 14%|█▍ | 9929/70000 [3:29:43<20:50:32, 1.25s/step] Training: 14%|█▍ | 9930/70000 [3:29:44<20:33:37, 1.23s/step] Training: 14%|█▍ | 9931/70000 [3:29:46<20:25:28, 1.22s/step] Training: 14%|█▍ | 9932/70000 [3:29:47<20:57:41, 1.26s/step] Training: 14%|█▍ | 9933/70000 [3:29:48<20:47:07, 1.25s/step] Training: 14%|█▍ | 9934/70000 [3:29:49<20:38:03, 1.24s/step] Training: 14%|█▍ | 9935/70000 [3:29:51<20:24:12, 1.22s/step] Training: 14%|█▍ | 9936/70000 [3:29:52<21:02:38, 1.26s/step] Training: 14%|█▍ | 9937/70000 [3:29:53<20:38:00, 1.24s/step] Training: 14%|█▍ | 9938/70000 [3:29:54<20:23:42, 1.22s/step] Training: 14%|█▍ | 9939/70000 [3:29:56<20:55:21, 1.25s/step] Training: 14%|█▍ | 9940/70000 [3:29:57<21:19:17, 1.28s/step] Training: 14%|█▍ | 9941/70000 [3:29:58<21:00:25, 1.26s/step] Training: 14%|█▍ | 9942/70000 [3:29:59<20:50:33, 1.25s/step] Training: 14%|█▍ | 9943/70000 [3:30:01<20:32:57, 1.23s/step] Training: 14%|█▍ | 9944/70000 [3:30:02<21:11:19, 1.27s/step] Training: 14%|█▍ | 9945/70000 [3:30:03<20:43:39, 1.24s/step] Training: 14%|█▍ | 9946/70000 [3:30:04<20:28:20, 1.23s/step] Training: 14%|█▍ | 9947/70000 [3:30:06<20:59:17, 1.26s/step] Training: 14%|█▍ | 9948/70000 [3:30:07<20:43:58, 1.24s/step] Training: 14%|█▍ | 9949/70000 [3:30:08<20:28:39, 1.23s/step] Training: 14%|█▍ | 9950/70000 [3:30:09<21:04:22, 1.26s/step] Training: 14%|█▍ | 9951/70000 [3:30:11<21:00:39, 1.26s/step] Training: 14%|█▍ | 9952/70000 [3:30:12<21:22:09, 1.28s/step] Training: 14%|█▍ | 9953/70000 [3:30:13<20:55:32, 1.25s/step] Training: 14%|█▍ | 9954/70000 [3:30:14<20:36:08, 1.24s/step] Training: 14%|█▍ | 9955/70000 [3:30:16<20:59:47, 1.26s/step] Training: 14%|█▍ | 9956/70000 [3:30:17<20:51:40, 1.25s/step] Training: 14%|█▍ | 9957/70000 [3:30:18<20:36:27, 1.24s/step] Training: 14%|█▍ | 9958/70000 [3:30:19<21:20:44, 1.28s/step] Training: 14%|█▍ | 9959/70000 [3:30:21<20:53:11, 1.25s/step] Training: 14%|█▍ | 9960/70000 [3:30:22<21:36:38, 1.30s/step] Training: 14%|█▍ | 9961/70000 [3:30:23<21:40:09, 1.30s/step] Training: 14%|█▍ | 9962/70000 [3:30:25<21:08:38, 1.27s/step] Training: 14%|█▍ | 9963/70000 [3:30:26<20:48:04, 1.25s/step] Training: 14%|█▍ | 9964/70000 [3:30:27<20:30:47, 1.23s/step] Training: 14%|█▍ | 9965/70000 [3:30:28<20:59:49, 1.26s/step] Training: 14%|█▍ | 9966/70000 [3:30:29<20:53:39, 1.25s/step] Training: 14%|█▍ | 9967/70000 [3:30:31<20:35:08, 1.23s/step] Training: 14%|█▍ | 9968/70000 [3:30:32<21:08:54, 1.27s/step] Training: 14%|█▍ | 9969/70000 [3:30:33<21:20:56, 1.28s/step] Training: 14%|█▍ | 9970/70000 [3:30:35<20:53:44, 1.25s/step] Training: 14%|█▍ | 9971/70000 [3:30:36<21:16:00, 1.28s/step] Training: 14%|█▍ | 9972/70000 [3:30:37<21:29:46, 1.29s/step] Training: 14%|█▍ | 9973/70000 [3:30:38<21:00:18, 1.26s/step] Training: 14%|█▍ | 9974/70000 [3:30:40<21:23:18, 1.28s/step] Training: 14%|█▍ | 9975/70000 [3:30:41<20:56:25, 1.26s/step] Training: 14%|█▍ | 9976/70000 [3:30:42<21:23:21, 1.28s/step] Training: 14%|█▍ | 9977/70000 [3:30:43<20:53:21, 1.25s/step] Training: 14%|█▍ | 9978/70000 [3:30:45<20:33:42, 1.23s/step] Training: 14%|█▍ | 9979/70000 [3:30:46<21:02:08, 1.26s/step] Training: 14%|█▍ | 9980/70000 [3:30:47<20:44:49, 1.24s/step] Training: 14%|█▍ | 9981/70000 [3:30:48<20:28:40, 1.23s/step] Training: 14%|█▍ | 9982/70000 [3:30:50<20:57:18, 1.26s/step] Training: 14%|█▍ | 9983/70000 [3:30:51<20:39:06, 1.24s/step] Training: 14%|█▍ | 9984/70000 [3:30:52<21:06:50, 1.27s/step] Training: 14%|█▍ | 9985/70000 [3:30:53<20:44:35, 1.24s/step] Training: 14%|█▍ | 9986/70000 [3:30:55<20:28:37, 1.23s/step] Training: 14%|█▍ | 9987/70000 [3:30:56<20:56:15, 1.26s/step] Training: 14%|█▍ | 9988/70000 [3:30:57<20:45:24, 1.25s/step] Training: 14%|█▍ | 9989/70000 [3:30:58<20:29:47, 1.23s/step] Training: 14%|█▍ | 9990/70000 [3:31:00<20:59:57, 1.26s/step] Training: 14%|█▍ | 9991/70000 [3:31:01<20:38:51, 1.24s/step] Training: 14%|█▍ | 9992/70000 [3:31:02<21:29:12, 1.29s/step] Training: 14%|█▍ | 9993/70000 [3:31:03<20:57:07, 1.26s/step] Training: 14%|█▍ | 9994/70000 [3:31:05<20:36:02, 1.24s/step] Training: 14%|█▍ | 9995/70000 [3:31:06<20:26:10, 1.23s/step] Training: 14%|█▍ | 9996/70000 [3:31:07<20:14:54, 1.21s/step] Training: 14%|█▍ | 9997/70000 [3:31:08<20:44:33, 1.24s/step] Training: 14%|█▍ | 9998/70000 [3:31:10<20:40:27, 1.24s/step] Training: 14%|█▍ | 9999/70000 [3:31:11<20:24:47, 1.22s/step] Training: 14%|█▍ | 10000/70000 [3:31:12<21:02:05, 1.26s/step]INFO 2026-03-12 23:41:04 ot_train.py:435 step:10K smpl:640K ep:2K epch:8.48 loss:0.169 grdn:13.647 lr:2.4e-05 updt_s:1.233 data_s:0.019 INFO 2026-03-12 23:41:04 ot_train.py:455 Checkpoint policy after step 10000 [Avatar] Pushing checkpoint (step 10000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008... Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...12-2008/model.safetensors: 0%| | 96.6kB / 5.85GB  ...12-2008/model.safetensors: 0%| | 96.6kB / 5.85GB  Processing Files (0 / 1) : 0%| | 96.6kB / 5.85GB, 482kB/s ...12-2008/model.safetensors: 0%| | 96.6kB / 5.85GB  ...12-2008/model.safetensors: 1%| | 66.5MB / 5.85GB  Processing Files (0 / 1) : 1%| | 66.5MB / 5.85GB, 111MB/s New Data Upload : 99%|█████████▉| 66.5MB / 67.1MB, 111MB/s  ...12-2008/model.safetensors: 1%| | 66.5MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 66.5MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 66.5MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 66.5MB / 5.85GB  ...12-2008/model.safetensors: 2%|▏ | 134MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 134MB / 5.85GB, 83.7MB/s New Data Upload : 66%|██████▋ | 134MB / 201MB, 83.6MB/s  ...12-2008/model.safetensors: 2%|▏ | 134MB / 5.85GB  ...12-2008/model.safetensors: 3%|▎ | 201MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 201MB / 5.85GB, 100MB/s New Data Upload : 75%|███████▍ | 201MB / 268MB, 100MB/s  ...12-2008/model.safetensors: 3%|▎ | 201MB / 5.85GB  ...12-2008/model.safetensors: 5%|▍ | 268MB / 5.85GB  Processing Files (0 / 1) : 5%|▍ | 268MB / 5.85GB, 112MB/s New Data Upload : 100%|█████████▉| 268MB / 268MB, 112MB/s  ...12-2008/model.safetensors: 5%|▍ | 268MB / 5.85GB  ...12-2008/model.safetensors: 6%|▌ | 335MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 335MB / 5.85GB, 120MB/s New Data Upload : 83%|████████▎ | 335MB / 402MB, 120MB/s  ...12-2008/model.safetensors: 6%|▌ | 335MB / 5.85GB  ...12-2008/model.safetensors: 7%|▋ | 402MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 402MB / 5.85GB, 126MB/s New Data Upload : 86%|████████▌ | 402MB / 469MB, 126MB/s  ...12-2008/model.safetensors: 8%|▊ | 468MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 468MB / 5.85GB, 138MB/s New Data Upload : 100%|█████████▉| 468MB / 469MB, 138MB/s  ...12-2008/model.safetensors: 8%|▊ | 469MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 469MB / 5.85GB, 130MB/s New Data Upload : 87%|████████▋ | 469MB / 537MB, 130MB/s  ...12-2008/model.safetensors: 9%|▉ | 535MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 535MB / 5.85GB, 141MB/s New Data Upload : 89%|████████▊ | 535MB / 604MB, 141MB/s  ...12-2008/model.safetensors: 9%|▉ | 535MB / 5.85GB  ...12-2008/model.safetensors: 10%|█ | 602MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 602MB / 5.85GB, 143MB/s New Data Upload : 90%|████████▉ | 602MB / 671MB, 143MB/s  ...12-2008/model.safetensors: 11%|█ | 631MB / 5.85GB  Processing Files (0 / 1) : 11%|█ | 631MB / 5.85GB, 143MB/s New Data Upload : 94%|█████████▍| 630MB / 671MB, 143MB/s  ...12-2008/model.safetensors: 11%|█▏ | 670MB / 5.85GB  Processing Files (0 / 1) : 11%|█▏ | 670MB / 5.85GB, 146MB/s New Data Upload : 91%|█████████ | 669MB / 738MB, 146MB/s  ...12-2008/model.safetensors: 13%|█▎ | 736MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 736MB / 5.85GB, 153MB/s New Data Upload : 100%|█████████▉| 736MB / 738MB, 153MB/s  ...12-2008/model.safetensors: 13%|█▎ | 736MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 736MB / 5.85GB, 147MB/s New Data Upload : 92%|█████████▏| 736MB / 805MB, 147MB/s  ...12-2008/model.safetensors: 14%|█▎ | 803MB / 5.85GB  Processing Files (0 / 1) : 14%|█▎ | 803MB / 5.85GB, 154MB/s New Data Upload : 92%|█████████▏| 803MB / 872MB, 154MB/s  ...12-2008/model.safetensors: 14%|█▎ | 804MB / 5.85GB  Processing Files (0 / 1) : 14%|█▎ | 804MB / 5.85GB, 149MB/s New Data Upload : 92%|█████████▏| 804MB / 872MB, 149MB/s  ...12-2008/model.safetensors: 15%|█▍ | 870MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 870MB / 5.85GB, 155MB/s New Data Upload : 93%|█████████▎| 870MB / 939MB, 155MB/s  ...12-2008/model.safetensors: 16%|█▌ | 921MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 921MB / 5.85GB, 159MB/s New Data Upload : 98%|█████████▊| 921MB / 939MB, 159MB/s  ...12-2008/model.safetensors: 16%|█▌ | 937MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 937MB / 5.85GB, 156MB/s New Data Upload : 93%|█████████▎| 937MB / 1.01GB, 156MB/s  ...12-2008/model.safetensors: 17%|█▋ | 1.00GB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 1.00GB / 5.85GB, 162MB/s New Data Upload : 100%|█████████▉| 1.00GB / 1.01GB, 162MB/s  ...12-2008/model.safetensors: 17%|█▋ | 1.01GB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 1.01GB / 5.85GB, 157MB/s New Data Upload : 94%|█████████▎| 1.01GB / 1.07GB, 157MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.07GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.07GB / 5.85GB, 162MB/s New Data Upload : 94%|█████████▍| 1.07GB / 1.14GB, 162MB/s  ...12-2008/model.safetensors: 19%|█▊ | 1.09GB / 5.85GB  Processing Files (0 / 1) : 19%|█▊ | 1.09GB / 5.85GB, 161MB/s New Data Upload : 96%|█████████▌| 1.09GB / 1.14GB, 161MB/s  ...12-2008/model.safetensors: 19%|█▉ | 1.14GB / 5.85GB  Processing Files (0 / 1) : 19%|█▉ | 1.14GB / 5.85GB, 163MB/s New Data Upload : 94%|█████████▍| 1.14GB / 1.21GB, 163MB/s  ...12-2008/model.safetensors: 21%|██ | 1.21GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.21GB / 5.85GB, 168MB/s New Data Upload : 100%|█████████▉| 1.21GB / 1.21GB, 167MB/s  ...12-2008/model.safetensors: 21%|██ | 1.21GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.21GB / 5.85GB, 163MB/s New Data Upload : 95%|█████████▍| 1.21GB / 1.27GB, 163MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.27GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.27GB / 5.85GB, 168MB/s New Data Upload : 95%|█████████▍| 1.27GB / 1.34GB, 168MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.27GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.27GB / 5.85GB, 163MB/s New Data Upload : 95%|█████████▍| 1.27GB / 1.34GB, 163MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.34GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.34GB / 5.85GB, 168MB/s New Data Upload : 95%|█████████▌| 1.34GB / 1.41GB, 168MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.37GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.37GB / 5.85GB, 168MB/s New Data Upload : 98%|█████████▊| 1.37GB / 1.41GB, 168MB/s  ...12-2008/model.safetensors: 24%|██▍ | 1.41GB / 5.85GB  Processing Files (0 / 1) : 24%|██▍ | 1.41GB / 5.85GB, 168MB/s New Data Upload : 95%|█████████▌| 1.41GB / 1.48GB, 168MB/s  ...12-2008/model.safetensors: 25%|██▌ | 1.47GB / 5.85GB  Processing Files (0 / 1) : 25%|██▌ | 1.47GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.47GB / 1.54GB, 171MB/s  ...12-2008/model.safetensors: 25%|██▌ | 1.47GB / 5.85GB  Processing Files (0 / 1) : 25%|██▌ | 1.47GB / 5.85GB, 168MB/s New Data Upload : 96%|█████████▌| 1.47GB / 1.54GB, 168MB/s  ...12-2008/model.safetensors: 26%|██▋ | 1.54GB / 5.85GB  Processing Files (0 / 1) : 26%|██▋ | 1.54GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 171MB/s  ...12-2008/model.safetensors: 26%|██▋ | 1.54GB / 5.85GB  Processing Files (0 / 1) : 26%|██▋ | 1.54GB / 5.85GB, 168MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 168MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.61GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.61GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.61GB / 1.68GB, 171MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.66GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.66GB / 5.85GB, 173MB/s New Data Upload : 99%|█████████▉| 1.66GB / 1.68GB, 173MB/s  ...12-2008/model.safetensors: 29%|██▊ | 1.68GB / 5.85GB  Processing Files (0 / 1) : 29%|██▊ | 1.68GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.68GB / 1.74GB, 171MB/s  ...12-2008/model.safetensors: 30%|██▉ | 1.74GB / 5.85GB  Processing Files (0 / 1) : 30%|██▉ | 1.74GB / 5.85GB, 174MB/s New Data Upload : 100%|█████████▉| 1.74GB / 1.74GB, 174MB/s  ...12-2008/model.safetensors: 30%|██▉ | 1.74GB / 5.85GB  Processing Files (0 / 1) : 30%|██▉ | 1.74GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▋| 1.74GB / 1.81GB, 171MB/s  ...12-2008/model.safetensors: 31%|███ | 1.81GB / 5.85GB  Processing Files (0 / 1) : 31%|███ | 1.81GB / 5.85GB, 177MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 177MB/s  ...12-2008/model.safetensors: 31%|███ | 1.81GB / 5.85GB  Processing Files (0 / 1) : 31%|███ | 1.81GB / 5.85GB, 177MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 177MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.88GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.88GB / 5.85GB, 177MB/s New Data Upload : 97%|█████████▋| 1.88GB / 1.94GB, 177MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.90GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.90GB / 5.85GB, 180MB/s New Data Upload : 98%|█████████▊| 1.90GB / 1.94GB, 180MB/s  ...12-2008/model.safetensors: 33%|███▎ | 1.94GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.94GB / 5.85GB, 184MB/s New Data Upload : 97%|█████████▋| 1.94GB / 2.01GB, 184MB/s  ...12-2008/model.safetensors: 34%|███▍ | 2.01GB / 5.85GB  Processing Files (0 / 1) : 34%|███▍ | 2.01GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.01GB / 2.08GB, 191MB/s  ...12-2008/model.safetensors: 34%|███▍ | 2.01GB / 5.85GB  ...12-2008/model.safetensors: 36%|███▌ | 2.08GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.08GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 191MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.08GB / 5.85GB  ...12-2008/model.safetensors: 37%|███▋ | 2.15GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.15GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.15GB / 2.21GB, 191MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.21GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.21GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.21GB / 2.21GB, 197MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.21GB / 5.85GB  ...12-2008/model.safetensors: 39%|███▉ | 2.28GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.28GB / 5.85GB, 197MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 197MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.28GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.28GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 191MB/s  ...12-2008/model.safetensors: 40%|████ | 2.35GB / 5.85GB  Processing Files (0 / 1) : 40%|████ | 2.35GB / 5.85GB, 197MB/s New Data Upload : 97%|█████████▋| 2.35GB / 2.41GB, 197MB/s  ...12-2008/model.safetensors: 41%|████ | 2.38GB / 5.85GB  Processing Files (0 / 1) : 41%|████ | 2.38GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▊| 2.38GB / 2.41GB, 194MB/s  ...12-2008/model.safetensors: 41%|████▏ | 2.41GB / 5.85GB  Processing Files (0 / 1) : 41%|████▏ | 2.41GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.41GB / 2.48GB, 191MB/s  ...12-2008/model.safetensors: 42%|████▏ | 2.48GB / 5.85GB  Processing Files (0 / 1) : 42%|████▏ | 2.48GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.48GB / 2.48GB, 197MB/s  ...12-2008/model.safetensors: 42%|████▏ | 2.48GB / 5.85GB  Processing Files (0 / 1) : 42%|████▏ | 2.48GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.48GB / 2.55GB, 191MB/s  ...12-2008/model.safetensors: 44%|████▎ | 2.55GB / 5.85GB  Processing Files (0 / 1) : 44%|████▎ | 2.55GB / 5.85GB, 197MB/s New Data Upload : 97%|█████████▋| 2.55GB / 2.62GB, 197MB/s  ...12-2008/model.safetensors: 44%|████▎ | 2.55GB / 5.85GB  Processing Files (0 / 1) : 44%|████▎ | 2.55GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.55GB / 2.62GB, 191MB/s  ...12-2008/model.safetensors: 45%|████▍ | 2.61GB / 5.85GB  Processing Files (0 / 1) : 45%|████▍ | 2.61GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.61GB / 2.68GB, 194MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.66GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.66GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 2.66GB / 2.68GB, 195MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.68GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.68GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.68GB / 2.75GB, 191MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.75GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.75GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.75GB / 2.75GB, 197MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.75GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.75GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.75GB / 2.82GB, 191MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.82GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.82GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 2.82GB / 2.88GB, 197MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.82GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.82GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.82GB / 2.88GB, 191MB/s  ...12-2008/model.safetensors: 49%|████▉ | 2.88GB / 5.85GB  Processing Files (0 / 1) : 49%|████▉ | 2.88GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 2.88GB / 2.95GB, 192MB/s  ...12-2008/model.safetensors: 50%|█████ | 2.95GB / 5.85GB  Processing Files (0 / 1) : 50%|█████ | 2.95GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.95GB / 2.95GB, 197MB/s  ...12-2008/model.safetensors: 50%|█████ | 2.95GB / 5.85GB  Processing Files (0 / 1) : 50%|█████ | 2.95GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.95GB / 3.02GB, 191MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.02GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.02GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.02GB / 3.08GB, 197MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.02GB / 5.85GB  ...12-2008/model.safetensors: 53%|█████▎ | 3.08GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.08GB / 5.85GB, 195MB/s New Data Upload : 98%|█████████▊| 3.08GB / 3.15GB, 195MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.10GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.10GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 3.10GB / 3.15GB, 193MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.15GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▍ | 3.15GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.15GB / 3.22GB, 191MB/s  ...12-2008/model.safetensors: 55%|█████▍ | 3.20GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▍ | 3.20GB / 5.85GB, 196MB/s New Data Upload : 99%|█████████▉| 3.20GB / 3.22GB, 196MB/s  ...12-2008/model.safetensors: 55%|█████▌ | 3.22GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.22GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.22GB / 3.29GB, 191MB/s  ...12-2008/model.safetensors: 56%|█████▌ | 3.29GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▌ | 3.29GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.29GB / 3.35GB, 197MB/s  ...12-2008/model.safetensors: 56%|█████▌ | 3.29GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▌ | 3.29GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.29GB / 3.35GB, 191MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.35GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.35GB / 5.85GB, 194MB/s New Data Upload : 98%|█████████▊| 3.35GB / 3.42GB, 194MB/s  ...12-2008/model.safetensors: 58%|█████▊ | 3.38GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.38GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 3.38GB / 3.42GB, 193MB/s  ...12-2008/model.safetensors: 58%|█████▊ | 3.42GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.42GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.42GB / 3.49GB, 191MB/s  ...12-2008/model.safetensors: 60%|█████▉ | 3.49GB / 5.85GB  Processing Files (0 / 1) : 60%|█████▉ | 3.49GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.49GB / 3.49GB, 197MB/s  ...12-2008/model.safetensors: 60%|█████▉ | 3.49GB / 5.85GB  Processing Files (0 / 1) : 60%|█████▉ | 3.49GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.49GB / 3.55GB, 191MB/s  ...12-2008/model.safetensors: 61%|██████ | 3.55GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.55GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.55GB / 3.62GB, 197MB/s  ...12-2008/model.safetensors: 61%|██████ | 3.55GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.55GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.55GB / 3.62GB, 191MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.62GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.62GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 3.62GB / 3.69GB, 192MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.66GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.66GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 3.66GB / 3.69GB, 194MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.69GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.69GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.69GB / 3.76GB, 191MB/s  ...12-2008/model.safetensors: 64%|██████▍ | 3.75GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▍ | 3.75GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.75GB / 3.76GB, 197MB/s  ...12-2008/model.safetensors: 64%|██████▍ | 3.75GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▍ | 3.75GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.75GB / 3.82GB, 191MB/s  ...12-2008/model.safetensors: 65%|██████▌ | 3.82GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▌ | 3.82GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.82GB / 3.89GB, 197MB/s  ...12-2008/model.safetensors: 65%|██████▌ | 3.83GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▌ | 3.83GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.83GB / 3.89GB, 191MB/s  ...12-2008/model.safetensors: 66%|██████▋ | 3.89GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▋ | 3.89GB / 5.85GB, 195MB/s New Data Upload : 98%|█████████▊| 3.89GB / 3.96GB, 195MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.96GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.96GB / 3.96GB, 197MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  ...12-2008/model.safetensors: 69%|██████▉ | 4.02GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.02GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 197MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.02GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.02GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 191MB/s  ...12-2008/model.safetensors: 70%|██████▉ | 4.09GB / 5.85GB  Processing Files (0 / 1) : 70%|██████▉ | 4.09GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.09GB / 4.16GB, 197MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.13GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.13GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 4.13GB / 4.16GB, 195MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.16GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.16GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.23GB, 191MB/s  ...12-2008/model.safetensors: 72%|███████▏ | 4.22GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.22GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.22GB / 4.23GB, 197MB/s  ...12-2008/model.safetensors: 72%|███████▏ | 4.22GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.22GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.22GB / 4.29GB, 191MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.29GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.29GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 197MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.29GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.29GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 191MB/s  ...12-2008/model.safetensors: 75%|███████▍ | 4.36GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▍ | 4.36GB / 5.85GB, 194MB/s New Data Upload : 98%|█████████▊| 4.36GB / 4.43GB, 194MB/s  ...12-2008/model.safetensors: 75%|███████▌ | 4.40GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▌ | 4.40GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 4.40GB / 4.43GB, 195MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.43GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.43GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.43GB / 4.49GB, 191MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.49GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.49GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.49GB / 4.49GB, 197MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.49GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.49GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.49GB / 4.56GB, 191MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.56GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.56GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.56GB / 4.63GB, 197MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.56GB / 5.85GB  ...12-2008/model.safetensors: 79%|███████▉ | 4.63GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▉ | 4.63GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▊| 4.63GB / 4.69GB, 193MB/s  ...12-2008/model.safetensors: 80%|███████▉ | 4.68GB / 5.85GB  Processing Files (0 / 1) : 80%|███████▉ | 4.68GB / 5.85GB, 196MB/s New Data Upload : 100%|█████████▉| 4.68GB / 4.69GB, 196MB/s  ...12-2008/model.safetensors: 80%|████████ | 4.69GB / 5.85GB  Processing Files (0 / 1) : 80%|████████ | 4.69GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 191MB/s  ...12-2008/model.safetensors: 81%|████████▏ | 4.76GB / 5.85GB  Processing Files (0 / 1) : 81%|████████▏ | 4.76GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.76GB / 4.76GB, 197MB/s  ...12-2008/model.safetensors: 81%|████████▏ | 4.76GB / 5.85GB  Processing Files (0 / 1) : 81%|████████▏ | 4.76GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.76GB / 4.83GB, 191MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.83GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.83GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.83GB / 4.90GB, 197MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.83GB / 5.85GB  ...12-2008/model.safetensors: 84%|████████▎ | 4.90GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▎ | 4.90GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.90GB / 4.96GB, 191MB/s  ...12-2008/model.safetensors: 84%|████████▍ | 4.92GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▍ | 4.92GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 4.92GB / 4.96GB, 194MB/s  ...12-2008/model.safetensors: 85%|████████▍ | 4.96GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▍ | 4.96GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.96GB / 5.03GB, 191MB/s  ...12-2008/model.safetensors: 86%|████████▌ | 5.03GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▌ | 5.03GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.03GB / 5.03GB, 197MB/s  ...12-2008/model.safetensors: 86%|████████▌ | 5.03GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▌ | 5.03GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.03GB / 5.10GB, 191MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.10GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 195MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.10GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 191MB/s  ...12-2008/model.safetensors: 88%|████████▊ | 5.16GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.16GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▊| 5.16GB / 5.23GB, 192MB/s  ...12-2008/model.safetensors: 89%|████████▉ | 5.21GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▉ | 5.21GB / 5.85GB, 195MB/s New Data Upload : 100%|█████████▉| 5.21GB / 5.23GB, 195MB/s  ...12-2008/model.safetensors: 89%|████████▉ | 5.23GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▉ | 5.23GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.23GB / 5.30GB, 191MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.30GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.30GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.30GB / 5.30GB, 197MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.30GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.30GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.30GB / 5.37GB, 191MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.36GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.36GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▊| 5.36GB / 5.43GB, 195MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.36GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.36GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.36GB / 5.43GB, 191MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.43GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.43GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.43GB / 5.50GB, 191MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.47GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.47GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 5.47GB / 5.50GB, 194MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.50GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.50GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.50GB / 5.57GB, 191MB/s  ...12-2008/model.safetensors: 95%|█████████▌| 5.56GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▌| 5.56GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.56GB / 5.57GB, 197MB/s  ...12-2008/model.safetensors: 95%|█████████▌| 5.57GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▌| 5.57GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.57GB / 5.63GB, 191MB/s  ...12-2008/model.safetensors: 96%|█████████▋| 5.63GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▋| 5.63GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 5.63GB / 5.70GB, 193MB/s  ...12-2008/model.safetensors: 96%|█████████▋| 5.63GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▋| 5.63GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.63GB / 5.70GB, 191MB/s  ...12-2008/model.safetensors: 97%|█████████▋| 5.70GB / 5.85GB  Processing Files (0 / 1) : 97%|█████████▋| 5.70GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.70GB / 5.77GB, 191MB/s  ...12-2008/model.safetensors: 98%|█████████▊| 5.76GB / 5.85GB  Processing Files (0 / 1) : 98%|█████████▊| 5.76GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.76GB / 5.77GB, 197MB/s  ...12-2008/model.safetensors: 99%|█████████▊| 5.77GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▊| 5.77GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.77GB / 5.83GB, 191MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 5.85GB / 5.85GB, 198MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 192MB/s New Data Upload : 100%|█████████▉| 5.85GB / 5.85GB, 192MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 186MB/s New Data Upload : 100%|█████████▉| 5.85GB / 5.85GB, 186MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 179MB/s New Data Upload : 100%|██████████| 5.85GB / 5.85GB, 179MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 162MB/s New Data Upload : 100%|██████████| 5.85GB / 5.85GB, 162MB/s ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB INFO 2026-03-12 23:42:07 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 10.8kB/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 5.40kB/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB [Avatar] Pushed checkpoint (step 10000) OK [Avatar] Tagged as 'step-10000' Training: 14%|█▍ | 10001/70000 [3:32:21<358:08:38, 21.49s/step] Training: 14%|█▍ | 10002/70000 [3:32:22<256:40:58, 15.40s/step] Training: 14%|█▍ | 10003/70000 [3:32:23<186:16:47, 11.18s/step] Training: 14%|█▍ | 10004/70000 [3:32:25<137:08:35, 8.23s/step] Training: 14%|█▍ | 10005/70000 [3:32:26<101:57:25, 6.12s/step] Training: 14%|█▍ | 10006/70000 [3:32:27<78:03:04, 4.68s/step] Training: 14%|█▍ | 10007/70000 [3:32:28<60:34:57, 3.64s/step] Training: 14%|█▍ | 10008/70000 [3:32:30<49:40:30, 2.98s/step] Training: 14%|█▍ | 10009/70000 [3:32:31<40:45:37, 2.45s/step] Training: 14%|█▍ | 10010/70000 [3:32:32<34:28:05, 2.07s/step] Training: 14%|█▍ | 10011/70000 [3:32:34<30:42:58, 1.84s/step] Training: 14%|█▍ | 10012/70000 [3:32:35<27:32:15, 1.65s/step] Training: 14%|█▍ | 10013/70000 [3:32:36<25:13:36, 1.51s/step] Training: 14%|█▍ | 10014/70000 [3:32:37<24:16:02, 1.46s/step] Training: 14%|█▍ | 10015/70000 [3:32:38<22:56:41, 1.38s/step] Training: 14%|█▍ | 10016/70000 [3:32:40<22:59:25, 1.38s/step] Training: 14%|█▍ | 10017/70000 [3:32:41<22:02:07, 1.32s/step] Training: 14%|█▍ | 10018/70000 [3:32:42<21:21:50, 1.28s/step] Training: 14%|█▍ | 10019/70000 [3:32:44<21:34:33, 1.29s/step] Training: 14%|█▍ | 10020/70000 [3:32:45<21:15:41, 1.28s/step] Training: 14%|█▍ | 10021/70000 [3:32:46<20:52:10, 1.25s/step] Training: 14%|█▍ | 10022/70000 [3:32:47<21:17:47, 1.28s/step] Training: 14%|█▍ | 10023/70000 [3:32:48<20:52:39, 1.25s/step] Training: 14%|█▍ | 10024/70000 [3:32:50<21:07:27, 1.27s/step] Training: 14%|█▍ | 10025/70000 [3:32:51<20:44:19, 1.24s/step] Training: 14%|█▍ | 10026/70000 [3:32:52<20:26:49, 1.23s/step] Training: 14%|█▍ | 10027/70000 [3:32:53<20:19:38, 1.22s/step] Training: 14%|█▍ | 10028/70000 [3:32:55<20:11:01, 1.21s/step] Training: 14%|█▍ | 10029/70000 [3:32:56<20:46:02, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=22542 Training: 14%|█▍ | 10030/70000 [3:32:57<20:42:35, 1.24s/step] Training: 14%|█▍ | 10031/70000 [3:32:58<20:29:01, 1.23s/step] Training: 14%|█▍ | 10032/70000 [3:33:00<20:26:00, 1.23s/step] Training: 14%|█▍ | 10033/70000 [3:33:01<21:03:23, 1.26s/step] Training: 14%|█▍ | 10034/70000 [3:33:02<20:41:12, 1.24s/step] Training: 14%|█▍ | 10035/70000 [3:33:03<21:05:47, 1.27s/step] Training: 14%|█▍ | 10036/70000 [3:33:05<21:30:11, 1.29s/step] Training: 14%|█▍ | 10037/70000 [3:33:06<21:03:10, 1.26s/step] Training: 14%|█▍ | 10038/70000 [3:33:07<21:24:51, 1.29s/step] Training: 14%|█▍ | 10039/70000 [3:33:08<20:57:59, 1.26s/step] Training: 14%|█▍ | 10040/70000 [3:33:10<21:21:46, 1.28s/step] Training: 14%|█▍ | 10041/70000 [3:33:11<21:29:33, 1.29s/step] Training: 14%|█▍ | 10042/70000 [3:33:12<20:58:40, 1.26s/step] Training: 14%|█▍ | 10043/70000 [3:33:14<21:19:20, 1.28s/step] Training: 14%|█▍ | 10044/70000 [3:33:15<21:10:05, 1.27s/step] Training: 14%|█▍ | 10045/70000 [3:33:16<20:45:31, 1.25s/step] Training: 14%|█▍ | 10046/70000 [3:33:17<21:09:37, 1.27s/step] Training: 14%|█▍ | 10047/70000 [3:33:19<20:47:50, 1.25s/step] Training: 14%|█▍ | 10048/70000 [3:33:20<21:14:38, 1.28s/step] Training: 14%|█▍ | 10049/70000 [3:33:21<22:11:24, 1.33s/step] Training: 14%|█▍ | 10050/70000 [3:33:23<21:27:41, 1.29s/step] Training: 14%|█▍ | 10051/70000 [3:33:24<21:39:39, 1.30s/step] Training: 14%|█▍ | 10052/70000 [3:33:25<21:22:04, 1.28s/step] Training: 14%|█▍ | 10053/70000 [3:33:26<20:57:06, 1.26s/step] Training: 14%|█▍ | 10054/70000 [3:33:28<21:17:17, 1.28s/step] Training: 14%|█▍ | 10055/70000 [3:33:29<20:52:44, 1.25s/step] Training: 14%|█▍ | 10056/70000 [3:33:30<20:49:42, 1.25s/step] Training: 14%|█▍ | 10057/70000 [3:33:32<22:02:59, 1.32s/step] Training: 14%|█▍ | 10058/70000 [3:33:33<21:21:43, 1.28s/step] Training: 14%|█▍ | 10059/70000 [3:33:34<21:02:41, 1.26s/step] Training: 14%|█▍ | 10060/70000 [3:33:35<21:24:59, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=22542 Training: 14%|█▍ | 10061/70000 [3:33:37<21:01:02, 1.26s/step] Training: 14%|█▍ | 10062/70000 [3:33:38<21:14:10, 1.28s/step] Training: 14%|█▍ | 10063/70000 [3:33:39<20:50:18, 1.25s/step] Training: 14%|█▍ | 10064/70000 [3:33:40<20:39:09, 1.24s/step] Training: 14%|█▍ | 10065/70000 [3:33:41<20:25:42, 1.23s/step] Training: 14%|█▍ | 10066/70000 [3:33:43<21:03:42, 1.27s/step] Training: 14%|█▍ | 10067/70000 [3:33:44<21:20:27, 1.28s/step] Training: 14%|█▍ | 10068/70000 [3:33:46<21:38:58, 1.30s/step] Training: 14%|█▍ | 10069/70000 [3:33:47<21:07:16, 1.27s/step] Training: 14%|█▍ | 10070/70000 [3:33:48<21:26:20, 1.29s/step] Training: 14%|█▍ | 10071/70000 [3:33:49<20:58:55, 1.26s/step] Training: 14%|█▍ | 10072/70000 [3:33:51<21:19:13, 1.28s/step] Training: 14%|█▍ | 10073/70000 [3:33:52<21:29:44, 1.29s/step] Training: 14%|█▍ | 10074/70000 [3:33:53<21:46:48, 1.31s/step] Training: 14%|█▍ | 10075/70000 [3:33:55<21:52:37, 1.31s/step] Training: 14%|█▍ | 10076/70000 [3:33:56<21:30:58, 1.29s/step] Training: 14%|█▍ | 10077/70000 [3:33:57<21:03:19, 1.26s/step] Training: 14%|█▍ | 10078/70000 [3:33:58<21:16:30, 1.28s/step] Training: 14%|█▍ | 10079/70000 [3:33:59<20:51:10, 1.25s/step] Training: 14%|█▍ | 10080/70000 [3:34:01<21:14:15, 1.28s/step] Training: 14%|█▍ | 10081/70000 [3:34:02<21:35:25, 1.30s/step] Training: 14%|█▍ | 10082/70000 [3:34:03<21:44:44, 1.31s/step] Training: 14%|█▍ | 10083/70000 [3:34:05<21:47:51, 1.31s/step] Training: 14%|█▍ | 10084/70000 [3:34:06<21:27:05, 1.29s/step] Training: 14%|█▍ | 10085/70000 [3:34:07<20:57:59, 1.26s/step] Training: 14%|█▍ | 10086/70000 [3:34:09<21:24:58, 1.29s/step] Training: 14%|█▍ | 10087/70000 [3:34:10<20:58:32, 1.26s/step] Training: 14%|█▍ | 10088/70000 [3:34:11<20:50:15, 1.25s/step] Training: 14%|█▍ | 10089/70000 [3:34:12<20:38:16, 1.24s/step] Training: 14%|█▍ | 10090/70000 [3:34:14<21:11:37, 1.27s/step] Training: 14%|█▍ | 10091/70000 [3:34:15<20:50:30, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=54246 Training: 14%|█▍ | 10092/70000 [3:34:16<21:15:47, 1.28s/step] Training: 14%|█▍ | 10093/70000 [3:34:17<20:52:01, 1.25s/step] Training: 14%|█▍ | 10094/70000 [3:34:19<21:14:01, 1.28s/step] Training: 14%|█▍ | 10095/70000 [3:34:20<20:48:44, 1.25s/step] Training: 14%|█▍ | 10096/70000 [3:34:21<20:42:03, 1.24s/step] Training: 14%|█▍ | 10097/70000 [3:34:22<21:08:11, 1.27s/step] Training: 14%|█▍ | 10098/70000 [3:34:24<20:59:54, 1.26s/step] Training: 14%|█▍ | 10099/70000 [3:34:25<21:20:28, 1.28s/step] Training: 14%|█▍ | 10100/70000 [3:34:26<21:38:07, 1.30s/step]INFO 2026-03-12 23:44:18 ot_train.py:435 step:10K smpl:646K ep:2K epch:8.56 loss:0.165 grdn:13.683 lr:2.4e-05 updt_s:1.248 data_s:0.017 Training: 14%|█▍ | 10101/70000 [3:34:28<21:08:28, 1.27s/step] Training: 14%|█▍ | 10102/70000 [3:34:29<21:22:24, 1.28s/step] Training: 14%|█▍ | 10103/70000 [3:34:30<20:54:11, 1.26s/step] Training: 14%|█▍ | 10104/70000 [3:34:31<20:34:15, 1.24s/step] Training: 14%|█▍ | 10105/70000 [3:34:33<21:35:55, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=61388 Training: 14%|█▍ | 10106/70000 [3:34:34<21:03:58, 1.27s/step] Training: 14%|█▍ | 10107/70000 [3:34:35<21:45:26, 1.31s/step] Training: 14%|█▍ | 10108/70000 [3:34:37<21:25:17, 1.29s/step] Training: 14%|█▍ | 10109/70000 [3:34:38<20:55:50, 1.26s/step] Training: 14%|█▍ | 10110/70000 [3:34:39<21:21:39, 1.28s/step] Training: 14%|█▍ | 10111/70000 [3:34:40<20:54:49, 1.26s/step] Training: 14%|█▍ | 10112/70000 [3:34:41<20:33:41, 1.24s/step] Training: 14%|█▍ | 10113/70000 [3:34:43<21:14:40, 1.28s/step] Training: 14%|█▍ | 10114/70000 [3:34:44<20:50:59, 1.25s/step] Training: 14%|█▍ | 10115/70000 [3:34:45<21:45:24, 1.31s/step] Training: 14%|█▍ | 10116/70000 [3:34:47<21:24:50, 1.29s/step] Training: 14%|█▍ | 10117/70000 [3:34:48<20:58:44, 1.26s/step] Training: 14%|█▍ | 10118/70000 [3:34:49<21:21:15, 1.28s/step] Training: 14%|█▍ | 10119/70000 [3:34:50<20:53:45, 1.26s/step] Training: 14%|█▍ | 10120/70000 [3:34:52<20:35:47, 1.24s/step] Training: 14%|█▍ | 10121/70000 [3:34:53<20:29:14, 1.23s/step] Training: 14%|█▍ | 10122/70000 [3:34:54<20:18:01, 1.22s/step] Training: 14%|█▍ | 10123/70000 [3:34:55<20:58:37, 1.26s/step] Training: 14%|█▍ | 10124/70000 [3:34:57<21:19:08, 1.28s/step] Training: 14%|█▍ | 10125/70000 [3:34:58<20:52:45, 1.26s/step] Training: 14%|█▍ | 10126/70000 [3:34:59<20:38:22, 1.24s/step] Training: 14%|█▍ | 10127/70000 [3:35:00<21:02:10, 1.26s/step] Training: 14%|█▍ | 10128/70000 [3:35:02<20:40:11, 1.24s/step] Training: 14%|█▍ | 10129/70000 [3:35:03<21:08:49, 1.27s/step] Training: 14%|█▍ | 10130/70000 [3:35:04<20:45:09, 1.25s/step] Training: 14%|█▍ | 10131/70000 [3:35:05<21:07:12, 1.27s/step] Training: 14%|█▍ | 10132/70000 [3:35:07<22:07:04, 1.33s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=22542 Training: 14%|█▍ | 10133/70000 [3:35:08<21:27:16, 1.29s/step] Training: 14%|█▍ | 10134/70000 [3:35:09<21:37:36, 1.30s/step] Training: 14%|█▍ | 10135/70000 [3:35:11<21:41:03, 1.30s/step] Training: 14%|█▍ | 10136/70000 [3:35:12<21:08:44, 1.27s/step] Training: 14%|█▍ | 10137/70000 [3:35:13<21:28:06, 1.29s/step] Training: 14%|█▍ | 10138/70000 [3:35:14<21:00:42, 1.26s/step] Training: 14%|█▍ | 10139/70000 [3:35:16<21:18:48, 1.28s/step] Training: 14%|█▍ | 10140/70000 [3:35:17<21:37:52, 1.30s/step] Training: 14%|█▍ | 10141/70000 [3:35:18<21:06:01, 1.27s/step] Training: 14%|█▍ | 10142/70000 [3:35:20<21:24:11, 1.29s/step] Training: 14%|█▍ | 10143/70000 [3:35:21<21:32:58, 1.30s/step] Training: 14%|█▍ | 10144/70000 [3:35:22<21:03:33, 1.27s/step] Training: 14%|█▍ | 10145/70000 [3:35:24<21:29:59, 1.29s/step] Training: 14%|█▍ | 10146/70000 [3:35:25<20:59:36, 1.26s/step] Training: 14%|█▍ | 10147/70000 [3:35:26<21:20:29, 1.28s/step] Training: 14%|█▍ | 10148/70000 [3:35:27<21:05:39, 1.27s/step] Training: 14%|█▍ | 10149/70000 [3:35:29<20:43:46, 1.25s/step] Training: 14%|█▍ | 10150/70000 [3:35:30<20:26:40, 1.23s/step] Training: 15%|█▍ | 10151/70000 [3:35:31<20:54:38, 1.26s/step] Training: 15%|█▍ | 10152/70000 [3:35:32<20:35:03, 1.24s/step] Training: 15%|█▍ | 10153/70000 [3:35:33<20:30:54, 1.23s/step] Training: 15%|█▍ | 10154/70000 [3:35:35<20:19:06, 1.22s/step] Training: 15%|█▍ | 10155/70000 [3:35:36<20:11:37, 1.21s/step] Training: 15%|█▍ | 10156/70000 [3:35:37<21:02:11, 1.27s/step] Training: 15%|█▍ | 10157/70000 [3:35:38<20:42:27, 1.25s/step] Training: 15%|█▍ | 10158/70000 [3:35:40<20:25:49, 1.23s/step] Training: 15%|█▍ | 10159/70000 [3:35:41<20:57:38, 1.26s/step] Training: 15%|█▍ | 10160/70000 [3:35:42<20:36:51, 1.24s/step] Training: 15%|█▍ | 10161/70000 [3:35:43<21:04:35, 1.27s/step] Training: 15%|█▍ | 10162/70000 [3:35:45<20:42:55, 1.25s/step] Training: 15%|█▍ | 10163/70000 [3:35:46<21:05:47, 1.27s/step] Training: 15%|█▍ | 10164/70000 [3:35:47<21:30:15, 1.29s/step] Training: 15%|█▍ | 10165/70000 [3:35:49<21:01:57, 1.27s/step] Training: 15%|█▍ | 10166/70000 [3:35:50<21:28:45, 1.29s/step] Training: 15%|█▍ | 10167/70000 [3:35:51<20:58:48, 1.26s/step] Training: 15%|█▍ | 10168/70000 [3:35:52<20:36:42, 1.24s/step] Training: 15%|█▍ | 10169/70000 [3:35:54<21:02:54, 1.27s/step] Training: 15%|█▍ | 10170/70000 [3:35:55<20:44:09, 1.25s/step] Training: 15%|█▍ | 10171/70000 [3:35:56<21:09:56, 1.27s/step] Training: 15%|█▍ | 10172/70000 [3:35:57<21:01:27, 1.27s/step] Training: 15%|█▍ | 10173/70000 [3:35:59<21:37:34, 1.30s/step] Training: 15%|█▍ | 10174/70000 [3:36:00<21:46:53, 1.31s/step] Training: 15%|█▍ | 10175/70000 [3:36:01<21:11:58, 1.28s/step] Training: 15%|█▍ | 10176/70000 [3:36:03<20:53:38, 1.26s/step] Training: 15%|█▍ | 10177/70000 [3:36:04<21:22:06, 1.29s/step] Training: 15%|█▍ | 10178/70000 [3:36:05<21:02:21, 1.27s/step] Training: 15%|█▍ | 10179/70000 [3:36:06<21:18:48, 1.28s/step] Training: 15%|█▍ | 10180/70000 [3:36:08<21:02:16, 1.27s/step] Training: 15%|█▍ | 10181/70000 [3:36:09<21:17:11, 1.28s/step] Training: 15%|█▍ | 10182/70000 [3:36:10<21:45:01, 1.31s/step] Training: 15%|█▍ | 10183/70000 [3:36:12<21:11:03, 1.27s/step] Training: 15%|█▍ | 10184/70000 [3:36:13<20:50:21, 1.25s/step] Training: 15%|█▍ | 10185/70000 [3:36:14<20:40:35, 1.24s/step] Training: 15%|█▍ | 10186/70000 [3:36:15<20:24:56, 1.23s/step] Training: 15%|█▍ | 10187/70000 [3:36:16<20:19:12, 1.22s/step] Training: 15%|█▍ | 10188/70000 [3:36:18<20:50:57, 1.25s/step] Training: 15%|█▍ | 10189/70000 [3:36:19<20:31:21, 1.24s/step] Training: 15%|█▍ | 10190/70000 [3:36:20<21:33:35, 1.30s/step] Training: 15%|█▍ | 10191/70000 [3:36:21<21:01:21, 1.27s/step] Training: 15%|█▍ | 10192/70000 [3:36:23<20:41:17, 1.25s/step] Training: 15%|█▍ | 10193/70000 [3:36:24<21:11:23, 1.28s/step] Training: 15%|█▍ | 10194/70000 [3:36:25<20:45:40, 1.25s/step] Training: 15%|█▍ | 10195/70000 [3:36:27<21:13:32, 1.28s/step] Training: 15%|█▍ | 10196/70000 [3:36:28<21:29:17, 1.29s/step] Training: 15%|█▍ | 10197/70000 [3:36:29<21:50:42, 1.32s/step] Training: 15%|█▍ | 10198/70000 [3:36:31<22:03:55, 1.33s/step] Training: 15%|█▍ | 10199/70000 [3:36:32<21:22:39, 1.29s/step] Training: 15%|█▍ | 10200/70000 [3:36:33<20:54:02, 1.26s/step]INFO 2026-03-12 23:46:25 ot_train.py:435 step:10K smpl:653K ep:2K epch:8.65 loss:0.168 grdn:13.701 lr:2.4e-05 updt_s:1.246 data_s:0.018 Training: 15%|█▍ | 10201/70000 [3:36:34<21:19:21, 1.28s/step] Training: 15%|█▍ | 10202/70000 [3:36:36<20:51:20, 1.26s/step] Training: 15%|█▍ | 10203/70000 [3:36:37<21:10:54, 1.28s/step] Training: 15%|█▍ | 10204/70000 [3:36:38<20:57:33, 1.26s/step] Training: 15%|█▍ | 10205/70000 [3:36:39<20:37:52, 1.24s/step] Training: 15%|█▍ | 10206/70000 [3:36:41<21:39:23, 1.30s/step] Training: 15%|█▍ | 10207/70000 [3:36:42<21:06:13, 1.27s/step] Training: 15%|█▍ | 10208/70000 [3:36:43<20:44:04, 1.25s/step] Training: 15%|█▍ | 10209/70000 [3:36:44<20:40:55, 1.25s/step] Training: 15%|█▍ | 10210/70000 [3:36:46<20:24:40, 1.23s/step] Training: 15%|█▍ | 10211/70000 [3:36:47<20:53:38, 1.26s/step] Training: 15%|█▍ | 10212/70000 [3:36:48<20:47:23, 1.25s/step] Training: 15%|█▍ | 10213/70000 [3:36:49<20:30:37, 1.24s/step] Training: 15%|█▍ | 10214/70000 [3:36:51<21:32:15, 1.30s/step] Training: 15%|█▍ | 10215/70000 [3:36:52<21:00:46, 1.27s/step] Training: 15%|█▍ | 10216/70000 [3:36:53<20:40:08, 1.24s/step] Training: 15%|█▍ | 10217/70000 [3:36:54<20:37:18, 1.24s/step] Training: 15%|█▍ | 10218/70000 [3:36:56<20:23:37, 1.23s/step] Training: 15%|█▍ | 10219/70000 [3:36:57<20:17:54, 1.22s/step] Training: 15%|█▍ | 10220/70000 [3:36:58<20:52:00, 1.26s/step] Training: 15%|█▍ | 10221/70000 [3:36:59<20:32:30, 1.24s/step] Training: 15%|█▍ | 10222/70000 [3:37:01<21:00:31, 1.27s/step] Training: 15%|█▍ | 10223/70000 [3:37:02<20:40:43, 1.25s/step] Training: 15%|█▍ | 10224/70000 [3:37:03<20:25:51, 1.23s/step] Training: 15%|█▍ | 10225/70000 [3:37:04<20:57:57, 1.26s/step] Training: 15%|█▍ | 10226/70000 [3:37:06<20:36:33, 1.24s/step] Training: 15%|█▍ | 10227/70000 [3:37:07<21:05:06, 1.27s/step] Training: 15%|█▍ | 10228/70000 [3:37:08<21:27:50, 1.29s/step] Training: 15%|█▍ | 10229/70000 [3:37:09<21:00:21, 1.27s/step] Training: 15%|█▍ | 10230/70000 [3:37:11<21:28:43, 1.29s/step] Training: 15%|█▍ | 10231/70000 [3:37:12<21:00:34, 1.27s/step] Training: 15%|█▍ | 10232/70000 [3:37:13<20:38:40, 1.24s/step] Training: 15%|█▍ | 10233/70000 [3:37:15<21:04:59, 1.27s/step] Training: 15%|█▍ | 10234/70000 [3:37:16<20:46:23, 1.25s/step] Training: 15%|█▍ | 10235/70000 [3:37:17<21:08:49, 1.27s/step] Training: 15%|█▍ | 10236/70000 [3:37:18<21:01:42, 1.27s/step] Training: 15%|█▍ | 10237/70000 [3:37:20<20:39:38, 1.24s/step] Training: 15%|█▍ | 10238/70000 [3:37:21<21:05:34, 1.27s/step] Training: 15%|█▍ | 10239/70000 [3:37:22<20:44:21, 1.25s/step] Training: 15%|█▍ | 10240/70000 [3:37:23<20:26:53, 1.23s/step] Training: 15%|█▍ | 10241/70000 [3:37:25<20:48:40, 1.25s/step] Training: 15%|█▍ | 10242/70000 [3:37:26<21:17:34, 1.28s/step] Training: 15%|█▍ | 10243/70000 [3:37:27<21:55:35, 1.32s/step] Training: 15%|█▍ | 10244/70000 [3:37:29<21:59:59, 1.33s/step] Training: 15%|█▍ | 10245/70000 [3:37:30<22:06:06, 1.33s/step] Training: 15%|█▍ | 10246/70000 [3:37:31<22:34:03, 1.36s/step] Training: 15%|█▍ | 10247/70000 [3:37:33<22:46:33, 1.37s/step] Training: 15%|█▍ | 10248/70000 [3:37:34<22:38:12, 1.36s/step] Training: 15%|█▍ | 10249/70000 [3:37:35<22:33:22, 1.36s/step] Training: 15%|█▍ | 10250/70000 [3:37:37<22:28:48, 1.35s/step] Training: 15%|█▍ | 10251/70000 [3:37:38<22:26:41, 1.35s/step] Training: 15%|█▍ | 10252/70000 [3:37:40<23:01:18, 1.39s/step] Training: 15%|█▍ | 10253/70000 [3:37:41<22:48:08, 1.37s/step] Training: 15%|█▍ | 10254/70000 [3:37:42<22:56:49, 1.38s/step] Training: 15%|█▍ | 10255/70000 [3:37:44<22:49:52, 1.38s/step] Training: 15%|█▍ | 10256/70000 [3:37:45<22:40:26, 1.37s/step] Training: 15%|█▍ | 10257/70000 [3:37:47<23:06:23, 1.39s/step] Training: 15%|█▍ | 10258/70000 [3:37:48<22:50:24, 1.38s/step] Training: 15%|█▍ | 10259/70000 [3:37:49<22:58:21, 1.38s/step] Training: 15%|█▍ | 10260/70000 [3:37:51<23:20:26, 1.41s/step] Training: 15%|█▍ | 10261/70000 [3:37:52<23:03:41, 1.39s/step] Training: 15%|█▍ | 10262/70000 [3:37:54<23:25:44, 1.41s/step] Training: 15%|█▍ | 10263/70000 [3:37:55<22:42:39, 1.37s/step] Training: 15%|█▍ | 10264/70000 [3:37:56<22:34:50, 1.36s/step] Training: 15%|█▍ | 10265/70000 [3:37:58<22:23:57, 1.35s/step] Training: 15%|█▍ | 10266/70000 [3:37:59<21:39:38, 1.31s/step] Training: 15%|█▍ | 10267/70000 [3:38:00<21:47:48, 1.31s/step] Training: 15%|█▍ | 10268/70000 [3:38:01<21:31:30, 1.30s/step] Training: 15%|█▍ | 10269/70000 [3:38:02<21:00:01, 1.27s/step] Training: 15%|█▍ | 10270/70000 [3:38:04<21:21:14, 1.29s/step] Training: 15%|█▍ | 10271/70000 [3:38:05<21:43:12, 1.31s/step] Training: 15%|█▍ | 10272/70000 [3:38:06<21:06:38, 1.27s/step] Training: 15%|█▍ | 10273/70000 [3:38:08<20:55:25, 1.26s/step] Training: 15%|█▍ | 10274/70000 [3:38:09<20:35:20, 1.24s/step] Training: 15%|█▍ | 10275/70000 [3:38:10<21:01:27, 1.27s/step] Training: 15%|█▍ | 10276/70000 [3:38:11<20:49:23, 1.26s/step] Training: 15%|█▍ | 10277/70000 [3:38:13<20:31:02, 1.24s/step] Training: 15%|█▍ | 10278/70000 [3:38:14<21:13:27, 1.28s/step] Training: 15%|█▍ | 10279/70000 [3:38:15<20:47:34, 1.25s/step] Training: 15%|█▍ | 10280/70000 [3:38:16<21:15:46, 1.28s/step] Training: 15%|█▍ | 10281/70000 [3:38:18<21:00:43, 1.27s/step] Training: 15%|█▍ | 10282/70000 [3:38:19<20:38:55, 1.24s/step] Training: 15%|█▍ | 10283/70000 [3:38:20<20:29:03, 1.23s/step] Training: 15%|█▍ | 10284/70000 [3:38:21<21:01:02, 1.27s/step] Training: 15%|█▍ | 10285/70000 [3:38:23<20:39:05, 1.25s/step] Training: 15%|█▍ | 10286/70000 [3:38:24<21:07:09, 1.27s/step] Training: 15%|█▍ | 10287/70000 [3:38:25<20:42:30, 1.25s/step] Training: 15%|█▍ | 10288/70000 [3:38:27<21:16:00, 1.28s/step] Training: 15%|█▍ | 10289/70000 [3:38:28<21:30:31, 1.30s/step] Training: 15%|█▍ | 10290/70000 [3:38:29<21:01:20, 1.27s/step] Training: 15%|█▍ | 10291/70000 [3:38:30<21:18:47, 1.29s/step] Training: 15%|█▍ | 10292/70000 [3:38:32<21:37:09, 1.30s/step] Training: 15%|█▍ | 10293/70000 [3:38:33<21:03:19, 1.27s/step] Training: 15%|█▍ | 10294/70000 [3:38:34<21:31:02, 1.30s/step] Training: 15%|█▍ | 10295/70000 [3:38:35<21:01:11, 1.27s/step] Training: 15%|█▍ | 10296/70000 [3:38:37<20:46:58, 1.25s/step] Training: 15%|█▍ | 10297/70000 [3:38:38<21:09:32, 1.28s/step] Training: 15%|█▍ | 10298/70000 [3:38:39<20:44:29, 1.25s/step] Training: 15%|█▍ | 10299/70000 [3:38:41<21:13:27, 1.28s/step] Training: 15%|█▍ | 10300/70000 [3:38:42<21:38:26, 1.30s/step]INFO 2026-03-12 23:48:34 ot_train.py:435 step:10K smpl:659K ep:2K epch:8.73 loss:0.165 grdn:13.420 lr:2.4e-05 updt_s:1.269 data_s:0.018 Training: 15%|█▍ | 10301/70000 [3:38:43<21:04:57, 1.27s/step] Training: 15%|█▍ | 10302/70000 [3:38:44<21:24:46, 1.29s/step] Training: 15%|█▍ | 10303/70000 [3:38:46<20:56:28, 1.26s/step] Training: 15%|█▍ | 10304/70000 [3:38:47<20:55:34, 1.26s/step] Training: 15%|█▍ | 10305/70000 [3:38:48<20:47:40, 1.25s/step] Training: 15%|█▍ | 10306/70000 [3:38:49<20:29:42, 1.24s/step] Training: 15%|█▍ | 10307/70000 [3:38:51<20:56:26, 1.26s/step] Training: 15%|█▍ | 10308/70000 [3:38:52<20:49:09, 1.26s/step] Training: 15%|█▍ | 10309/70000 [3:38:53<20:29:44, 1.24s/step] Training: 15%|█▍ | 10310/70000 [3:38:54<21:12:26, 1.28s/step] Training: 15%|█▍ | 10311/70000 [3:38:56<20:45:42, 1.25s/step] Training: 15%|█▍ | 10312/70000 [3:38:57<20:43:02, 1.25s/step] Training: 15%|█▍ | 10313/70000 [3:38:58<20:35:30, 1.24s/step] Training: 15%|█▍ | 10314/70000 [3:38:59<20:22:16, 1.23s/step] Training: 15%|█▍ | 10315/70000 [3:39:01<20:15:11, 1.22s/step] Training: 15%|█▍ | 10316/70000 [3:39:02<20:49:31, 1.26s/step] Training: 15%|█▍ | 10317/70000 [3:39:03<20:31:03, 1.24s/step] Training: 15%|█▍ | 10318/70000 [3:39:04<20:58:53, 1.27s/step] Training: 15%|█▍ | 10319/70000 [3:39:06<20:36:15, 1.24s/step] Training: 15%|█▍ | 10320/70000 [3:39:07<20:20:54, 1.23s/step] Training: 15%|█▍ | 10321/70000 [3:39:08<21:37:07, 1.30s/step] Training: 15%|█▍ | 10322/70000 [3:39:09<21:04:23, 1.27s/step] Training: 15%|█▍ | 10323/70000 [3:39:11<21:21:44, 1.29s/step] Training: 15%|█▍ | 10324/70000 [3:39:12<21:30:47, 1.30s/step] Training: 15%|█▍ | 10325/70000 [3:39:13<21:02:11, 1.27s/step] Training: 15%|█▍ | 10326/70000 [3:39:15<21:25:47, 1.29s/step] Training: 15%|█▍ | 10327/70000 [3:39:16<20:55:42, 1.26s/step] Training: 15%|█▍ | 10328/70000 [3:39:17<20:33:46, 1.24s/step] Training: 15%|█▍ | 10329/70000 [3:39:18<21:33:34, 1.30s/step] Training: 15%|█▍ | 10330/70000 [3:39:20<21:01:10, 1.27s/step] Training: 15%|█▍ | 10331/70000 [3:39:21<21:18:19, 1.29s/step] Training: 15%|█▍ | 10332/70000 [3:39:22<21:06:15, 1.27s/step] Training: 15%|█▍ | 10333/70000 [3:39:23<20:40:53, 1.25s/step] Training: 15%|█▍ | 10334/70000 [3:39:25<21:02:29, 1.27s/step] Training: 15%|█▍ | 10335/70000 [3:39:26<20:37:58, 1.24s/step] Training: 15%|█▍ | 10336/70000 [3:39:27<20:24:38, 1.23s/step] Training: 15%|█▍ | 10337/70000 [3:39:29<21:09:07, 1.28s/step] Training: 15%|█▍ | 10338/70000 [3:39:30<20:39:58, 1.25s/step] Training: 15%|█▍ | 10339/70000 [3:39:31<20:32:40, 1.24s/step] Training: 15%|█▍ | 10340/70000 [3:39:32<20:26:10, 1.23s/step] Training: 15%|█▍ | 10341/70000 [3:39:33<20:13:12, 1.22s/step] Training: 15%|█▍ | 10342/70000 [3:39:35<20:15:00, 1.22s/step] Training: 15%|█▍ | 10343/70000 [3:39:36<20:44:17, 1.25s/step] Training: 15%|█▍ | 10344/70000 [3:39:37<20:26:31, 1.23s/step] Training: 15%|█▍ | 10345/70000 [3:39:38<21:02:24, 1.27s/step] Training: 15%|█▍ | 10346/70000 [3:39:40<20:35:03, 1.24s/step] Training: 15%|█▍ | 10347/70000 [3:39:41<20:25:33, 1.23s/step] Training: 15%|█▍ | 10348/70000 [3:39:42<20:56:31, 1.26s/step] Training: 15%|█▍ | 10349/70000 [3:39:43<20:35:05, 1.24s/step] Training: 15%|█▍ | 10350/70000 [3:39:45<20:26:34, 1.23s/step] Training: 15%|█▍ | 10351/70000 [3:39:46<20:13:36, 1.22s/step] Training: 15%|█▍ | 10352/70000 [3:39:47<20:03:47, 1.21s/step] Training: 15%|█▍ | 10353/70000 [3:39:48<20:42:23, 1.25s/step] Training: 15%|█▍ | 10354/70000 [3:39:50<21:10:25, 1.28s/step] Training: 15%|█▍ | 10355/70000 [3:39:51<20:41:33, 1.25s/step] Training: 15%|█▍ | 10356/70000 [3:39:52<21:47:21, 1.32s/step] Training: 15%|█▍ | 10357/70000 [3:39:53<21:10:10, 1.28s/step] Training: 15%|█▍ | 10358/70000 [3:39:55<21:36:51, 1.30s/step] Training: 15%|█▍ | 10359/70000 [3:39:56<21:03:53, 1.27s/step] Training: 15%|█▍ | 10360/70000 [3:39:57<20:39:36, 1.25s/step] Training: 15%|█▍ | 10361/70000 [3:39:59<21:03:14, 1.27s/step] Training: 15%|█▍ | 10362/70000 [3:40:00<21:27:20, 1.30s/step] Training: 15%|█▍ | 10363/70000 [3:40:01<20:52:48, 1.26s/step] Training: 15%|█▍ | 10364/70000 [3:40:02<20:49:48, 1.26s/step] Training: 15%|█▍ | 10365/70000 [3:40:04<20:29:56, 1.24s/step] Training: 15%|█▍ | 10366/70000 [3:40:05<20:58:12, 1.27s/step] Training: 15%|█▍ | 10367/70000 [3:40:06<20:37:07, 1.24s/step] Training: 15%|█▍ | 10368/70000 [3:40:07<20:19:40, 1.23s/step] Training: 15%|█▍ | 10369/70000 [3:40:08<20:22:06, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=61388 Training: 15%|█▍ | 10370/70000 [3:40:10<20:09:51, 1.22s/step] Training: 15%|█▍ | 10371/70000 [3:40:11<20:14:34, 1.22s/step] Training: 15%|█▍ | 10372/70000 [3:40:12<20:13:30, 1.22s/step] Training: 15%|█▍ | 10373/70000 [3:40:13<20:05:06, 1.21s/step] Training: 15%|█▍ | 10374/70000 [3:40:15<20:49:35, 1.26s/step] Training: 15%|█▍ | 10375/70000 [3:40:16<20:29:17, 1.24s/step] Training: 15%|█▍ | 10376/70000 [3:40:17<20:15:02, 1.22s/step] Training: 15%|█▍ | 10377/70000 [3:40:18<20:47:01, 1.25s/step] Training: 15%|█▍ | 10378/70000 [3:40:20<20:43:14, 1.25s/step] Training: 15%|█▍ | 10379/70000 [3:40:21<20:28:51, 1.24s/step] Training: 15%|█▍ | 10380/70000 [3:40:22<21:01:03, 1.27s/step] Training: 15%|█▍ | 10381/70000 [3:40:23<20:37:30, 1.25s/step] Training: 15%|█▍ | 10382/70000 [3:40:25<21:00:04, 1.27s/step] Training: 15%|█▍ | 10383/70000 [3:40:26<20:36:55, 1.24s/step] Training: 15%|█▍ | 10384/70000 [3:40:27<20:21:47, 1.23s/step] Training: 15%|█▍ | 10385/70000 [3:40:28<20:16:22, 1.22s/step] Training: 15%|█▍ | 10386/70000 [3:40:30<20:40:21, 1.25s/step] Training: 15%|█▍ | 10387/70000 [3:40:31<20:59:50, 1.27s/step] Training: 15%|█▍ | 10388/70000 [3:40:32<21:17:27, 1.29s/step] Training: 15%|█▍ | 10389/70000 [3:40:33<20:49:21, 1.26s/step] Training: 15%|█▍ | 10390/70000 [3:40:35<20:38:43, 1.25s/step] Training: 15%|█▍ | 10391/70000 [3:40:36<21:06:20, 1.27s/step] Training: 15%|█▍ | 10392/70000 [3:40:37<20:40:54, 1.25s/step] Training: 15%|█▍ | 10393/70000 [3:40:38<21:05:22, 1.27s/step] Training: 15%|█▍ | 10394/70000 [3:40:40<20:40:12, 1.25s/step] Training: 15%|█▍ | 10395/70000 [3:40:41<21:29:53, 1.30s/step] Training: 15%|█▍ | 10396/70000 [3:40:42<21:13:52, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=22542 Training: 15%|█▍ | 10397/70000 [3:40:44<20:46:15, 1.25s/step] Training: 15%|█▍ | 10398/70000 [3:40:45<20:39:55, 1.25s/step] Training: 15%|█▍ | 10399/70000 [3:40:46<20:40:43, 1.25s/step] Training: 15%|█▍ | 10400/70000 [3:40:47<20:23:40, 1.23s/step]INFO 2026-03-12 23:50:39 ot_train.py:435 step:10K smpl:666K ep:2K epch:8.82 loss:0.169 grdn:13.489 lr:2.4e-05 updt_s:1.232 data_s:0.019 Training: 15%|█▍ | 10401/70000 [3:40:49<20:54:29, 1.26s/step] Training: 15%|█▍ | 10402/70000 [3:40:50<21:09:43, 1.28s/step] Training: 15%|█▍ | 10403/70000 [3:40:51<21:11:17, 1.28s/step] Training: 15%|█▍ | 10404/70000 [3:40:52<20:49:51, 1.26s/step] Training: 15%|█▍ | 10405/70000 [3:40:54<20:30:00, 1.24s/step] Training: 15%|█▍ | 10406/70000 [3:40:55<20:54:31, 1.26s/step] Training: 15%|█▍ | 10407/70000 [3:40:56<20:37:22, 1.25s/step] Training: 15%|█▍ | 10408/70000 [3:40:57<20:21:46, 1.23s/step] Training: 15%|█▍ | 10409/70000 [3:40:59<20:52:48, 1.26s/step] Training: 15%|█▍ | 10410/70000 [3:41:00<21:09:34, 1.28s/step] Training: 15%|█▍ | 10411/70000 [3:41:01<21:29:04, 1.30s/step] Training: 15%|█▍ | 10412/70000 [3:41:03<21:38:25, 1.31s/step] Training: 15%|█▍ | 10413/70000 [3:41:04<21:02:58, 1.27s/step] Training: 15%|█▍ | 10414/70000 [3:41:05<20:38:33, 1.25s/step] Training: 15%|█▍ | 10415/70000 [3:41:06<21:39:05, 1.31s/step] Training: 15%|█▍ | 10416/70000 [3:41:08<21:04:34, 1.27s/step] Training: 15%|█▍ | 10417/70000 [3:41:09<20:45:00, 1.25s/step] Training: 15%|█▍ | 10418/70000 [3:41:10<20:26:51, 1.24s/step] Training: 15%|█▍ | 10419/70000 [3:41:11<21:04:37, 1.27s/step] Training: 15%|█▍ | 10420/70000 [3:41:13<21:17:02, 1.29s/step] Training: 15%|█▍ | 10421/70000 [3:41:14<20:49:04, 1.26s/step] Training: 15%|█▍ | 10422/70000 [3:41:15<20:28:21, 1.24s/step] Training: 15%|█▍ | 10423/70000 [3:41:16<21:22:09, 1.29s/step] Training: 15%|█▍ | 10424/70000 [3:41:18<20:51:44, 1.26s/step] Training: 15%|█▍ | 10425/70000 [3:41:19<21:19:14, 1.29s/step] Training: 15%|█▍ | 10426/70000 [3:41:20<20:48:37, 1.26s/step] Training: 15%|█▍ | 10427/70000 [3:41:22<21:10:18, 1.28s/step] Training: 15%|█▍ | 10428/70000 [3:41:23<21:28:45, 1.30s/step] Training: 15%|█▍ | 10429/70000 [3:41:24<20:54:24, 1.26s/step] Training: 15%|█▍ | 10430/70000 [3:41:25<20:32:17, 1.24s/step] Training: 15%|█▍ | 10431/70000 [3:41:27<21:34:33, 1.30s/step] Training: 15%|█▍ | 10432/70000 [3:41:28<21:00:51, 1.27s/step] Training: 15%|█▍ | 10433/70000 [3:41:29<21:21:57, 1.29s/step] Training: 15%|█▍ | 10434/70000 [3:41:30<20:52:15, 1.26s/step] Training: 15%|█▍ | 10435/70000 [3:41:32<20:44:09, 1.25s/step] Training: 15%|█▍ | 10436/70000 [3:41:33<21:11:39, 1.28s/step] Training: 15%|█▍ | 10437/70000 [3:41:34<20:41:28, 1.25s/step] Training: 15%|█▍ | 10438/70000 [3:41:35<20:32:19, 1.24s/step] Training: 15%|█▍ | 10439/70000 [3:41:37<20:22:49, 1.23s/step] Training: 15%|█▍ | 10440/70000 [3:41:38<20:11:22, 1.22s/step] Training: 15%|█▍ | 10441/70000 [3:41:39<20:44:15, 1.25s/step] Training: 15%|█▍ | 10442/70000 [3:41:40<20:25:33, 1.23s/step] Training: 15%|█▍ | 10443/70000 [3:41:42<20:19:36, 1.23s/step] Training: 15%|█▍ | 10444/70000 [3:41:43<21:26:12, 1.30s/step] Training: 15%|█▍ | 10445/70000 [3:41:44<20:55:19, 1.26s/step] Training: 15%|█▍ | 10446/70000 [3:41:46<21:13:40, 1.28s/step] Training: 15%|█▍ | 10447/70000 [3:41:47<21:29:32, 1.30s/step] Training: 15%|█▍ | 10448/70000 [3:41:48<20:57:19, 1.27s/step] Training: 15%|█▍ | 10449/70000 [3:41:49<20:41:36, 1.25s/step] Training: 15%|█▍ | 10450/70000 [3:41:50<20:24:53, 1.23s/step] Training: 15%|█▍ | 10451/70000 [3:41:52<20:52:57, 1.26s/step] Training: 15%|█▍ | 10452/70000 [3:41:53<21:24:08, 1.29s/step] Training: 15%|█▍ | 10453/70000 [3:41:54<20:51:57, 1.26s/step] Training: 15%|█▍ | 10454/70000 [3:41:56<21:11:12, 1.28s/step] Training: 15%|█▍ | 10455/70000 [3:41:57<21:27:00, 1.30s/step] Training: 15%|█▍ | 10456/70000 [3:41:58<20:55:04, 1.26s/step] Training: 15%|█▍ | 10457/70000 [3:42:00<21:14:28, 1.28s/step] Training: 15%|█▍ | 10458/70000 [3:42:01<20:45:41, 1.26s/step] Training: 15%|█▍ | 10459/70000 [3:42:02<21:07:59, 1.28s/step] Training: 15%|█▍ | 10460/70000 [3:42:03<21:10:56, 1.28s/step] Training: 15%|█▍ | 10461/70000 [3:42:04<20:40:11, 1.25s/step] Training: 15%|█▍ | 10462/70000 [3:42:06<21:01:33, 1.27s/step] Training: 15%|█▍ | 10463/70000 [3:42:07<21:19:17, 1.29s/step] Training: 15%|█▍ | 10464/70000 [3:42:08<20:49:55, 1.26s/step] Training: 15%|█▍ | 10465/70000 [3:42:10<21:11:13, 1.28s/step] Training: 15%|█▍ | 10466/70000 [3:42:11<20:47:01, 1.26s/step] Training: 15%|█▍ | 10467/70000 [3:42:12<20:40:24, 1.25s/step] Training: 15%|█▍ | 10468/70000 [3:42:13<20:31:16, 1.24s/step] Training: 15%|█▍ | 10469/70000 [3:42:15<21:00:49, 1.27s/step] Training: 15%|█▍ | 10470/70000 [3:42:16<20:42:34, 1.25s/step] Training: 15%|█▍ | 10471/70000 [3:42:17<20:28:23, 1.24s/step] Training: 15%|█▍ | 10472/70000 [3:42:18<20:17:23, 1.23s/step] Training: 15%|█▍ | 10473/70000 [3:42:20<20:46:26, 1.26s/step] Training: 15%|█▍ | 10474/70000 [3:42:21<20:26:26, 1.24s/step] Training: 15%|█▍ | 10475/70000 [3:42:22<20:19:32, 1.23s/step] Training: 15%|█▍ | 10476/70000 [3:42:23<20:52:12, 1.26s/step] Training: 15%|█▍ | 10477/70000 [3:42:25<20:51:32, 1.26s/step] Training: 15%|█▍ | 10478/70000 [3:42:26<21:12:06, 1.28s/step] Training: 15%|█▍ | 10479/70000 [3:42:27<21:25:38, 1.30s/step] Training: 15%|█▍ | 10480/70000 [3:42:28<20:54:31, 1.26s/step] Training: 15%|█▍ | 10481/70000 [3:42:30<20:39:02, 1.25s/step] Training: 15%|█▍ | 10482/70000 [3:42:31<20:23:53, 1.23s/step] Training: 15%|█▍ | 10483/70000 [3:42:32<20:51:22, 1.26s/step] Training: 15%|█▍ | 10484/70000 [3:42:34<21:13:59, 1.28s/step] Training: 15%|█▍ | 10485/70000 [3:42:35<20:45:47, 1.26s/step] Training: 15%|█▍ | 10486/70000 [3:42:36<21:43:38, 1.31s/step] Training: 15%|█▍ | 10487/70000 [3:42:38<21:47:19, 1.32s/step] Training: 15%|█▍ | 10488/70000 [3:42:39<21:10:11, 1.28s/step] Training: 15%|█▍ | 10489/70000 [3:42:40<21:26:53, 1.30s/step] Training: 15%|█▍ | 10490/70000 [3:42:41<20:55:36, 1.27s/step] Training: 15%|█▍ | 10491/70000 [3:42:43<21:13:20, 1.28s/step] Training: 15%|█▍ | 10492/70000 [3:42:44<20:58:56, 1.27s/step] Training: 15%|█▍ | 10493/70000 [3:42:45<21:26:21, 1.30s/step] Training: 15%|█▍ | 10494/70000 [3:42:46<21:32:33, 1.30s/step] Training: 15%|█▍ | 10495/70000 [3:42:48<21:39:42, 1.31s/step] Training: 15%|█▍ | 10496/70000 [3:42:49<21:03:46, 1.27s/step] Training: 15%|█▍ | 10497/70000 [3:42:50<21:19:26, 1.29s/step] Training: 15%|█▍ | 10498/70000 [3:42:51<20:49:16, 1.26s/step] Training: 15%|█▍ | 10499/70000 [3:42:53<20:37:38, 1.25s/step] Training: 15%|█▌ | 10500/70000 [3:42:54<20:29:07, 1.24s/step]INFO 2026-03-12 23:52:46 ot_train.py:435 step:10K smpl:672K ep:2K epch:8.90 loss:0.175 grdn:13.967 lr:2.4e-05 updt_s:1.246 data_s:0.019 Training: 15%|█▌ | 10501/70000 [3:42:55<20:14:58, 1.23s/step] Training: 15%|█▌ | 10502/70000 [3:42:56<20:50:02, 1.26s/step] Training: 15%|█▌ | 10503/70000 [3:42:58<20:33:32, 1.24s/step] Training: 15%|█▌ | 10504/70000 [3:42:59<20:17:49, 1.23s/step] Training: 15%|█▌ | 10505/70000 [3:43:00<20:46:50, 1.26s/step] Training: 15%|█▌ | 10506/70000 [3:43:01<20:28:29, 1.24s/step] Training: 15%|█▌ | 10507/70000 [3:43:03<20:22:54, 1.23s/step] Training: 15%|█▌ | 10508/70000 [3:43:04<20:56:48, 1.27s/step] Training: 15%|█▌ | 10509/70000 [3:43:05<20:34:10, 1.24s/step] Training: 15%|█▌ | 10510/70000 [3:43:07<21:31:53, 1.30s/step] Training: 15%|█▌ | 10511/70000 [3:43:08<21:38:52, 1.31s/step] Training: 15%|█▌ | 10512/70000 [3:43:09<21:04:35, 1.28s/step] Training: 15%|█▌ | 10513/70000 [3:43:10<20:44:23, 1.26s/step] Training: 15%|█▌ | 10514/70000 [3:43:12<20:55:40, 1.27s/step] Training: 15%|█▌ | 10515/70000 [3:43:13<21:13:17, 1.28s/step] Training: 15%|█▌ | 10516/70000 [3:43:14<21:28:44, 1.30s/step] Training: 15%|█▌ | 10517/70000 [3:43:15<20:55:49, 1.27s/step] Training: 15%|█▌ | 10518/70000 [3:43:17<21:13:18, 1.28s/step] Training: 15%|█▌ | 10519/70000 [3:43:18<21:25:03, 1.30s/step] Training: 15%|█▌ | 10520/70000 [3:43:19<20:54:07, 1.27s/step] Training: 15%|█▌ | 10521/70000 [3:43:21<21:12:26, 1.28s/step] Training: 15%|█▌ | 10522/70000 [3:43:22<20:47:09, 1.26s/step] Training: 15%|█▌ | 10523/70000 [3:43:23<21:08:05, 1.28s/step] Training: 15%|█▌ | 10524/70000 [3:43:24<20:54:52, 1.27s/step] Training: 15%|█▌ | 10525/70000 [3:43:26<20:32:14, 1.24s/step] Training: 15%|█▌ | 10526/70000 [3:43:27<21:05:43, 1.28s/step] Training: 15%|█▌ | 10527/70000 [3:43:28<20:50:43, 1.26s/step] Training: 15%|█▌ | 10528/70000 [3:43:29<20:30:12, 1.24s/step] Training: 15%|█▌ | 10529/70000 [3:43:31<21:07:59, 1.28s/step] Training: 15%|█▌ | 10530/70000 [3:43:32<20:43:24, 1.25s/step] Training: 15%|█▌ | 10531/70000 [3:43:33<20:41:26, 1.25s/step] Training: 15%|█▌ | 10532/70000 [3:43:34<20:28:40, 1.24s/step] Training: 15%|█▌ | 10533/70000 [3:43:36<20:16:14, 1.23s/step] Training: 15%|█▌ | 10534/70000 [3:43:37<20:24:54, 1.24s/step] Training: 15%|█▌ | 10535/70000 [3:43:38<20:07:42, 1.22s/step] Training: 15%|█▌ | 10536/70000 [3:43:39<20:37:20, 1.25s/step] Training: 15%|█▌ | 10537/70000 [3:43:41<21:01:54, 1.27s/step] Training: 15%|█▌ | 10538/70000 [3:43:42<20:36:21, 1.25s/step] Training: 15%|█▌ | 10539/70000 [3:43:43<20:27:23, 1.24s/step] Training: 15%|█▌ | 10540/70000 [3:43:44<20:53:50, 1.27s/step] Training: 15%|█▌ | 10541/70000 [3:43:46<20:32:10, 1.24s/step] Training: 15%|█▌ | 10542/70000 [3:43:47<20:57:35, 1.27s/step] Training: 15%|█▌ | 10543/70000 [3:43:48<21:53:24, 1.33s/step] Training: 15%|█▌ | 10544/70000 [3:43:50<21:14:11, 1.29s/step] Training: 15%|█▌ | 10545/70000 [3:43:51<21:30:56, 1.30s/step] Training: 15%|█▌ | 10546/70000 [3:43:52<20:58:11, 1.27s/step] Training: 15%|█▌ | 10547/70000 [3:43:53<21:16:26, 1.29s/step] Training: 15%|█▌ | 10548/70000 [3:43:55<21:28:26, 1.30s/step] Training: 15%|█▌ | 10549/70000 [3:43:56<20:56:24, 1.27s/step] Training: 15%|█▌ | 10550/70000 [3:43:57<21:13:59, 1.29s/step] Training: 15%|█▌ | 10551/70000 [3:43:59<21:10:23, 1.28s/step] Training: 15%|█▌ | 10552/70000 [3:44:00<20:41:46, 1.25s/step] Training: 15%|█▌ | 10553/70000 [3:44:01<21:04:04, 1.28s/step] Training: 15%|█▌ | 10554/70000 [3:44:02<20:38:33, 1.25s/step] Training: 15%|█▌ | 10555/70000 [3:44:04<21:00:27, 1.27s/step] Training: 15%|█▌ | 10556/70000 [3:44:05<20:50:19, 1.26s/step] Training: 15%|█▌ | 10557/70000 [3:44:06<20:28:05, 1.24s/step] Training: 15%|█▌ | 10558/70000 [3:44:07<20:54:15, 1.27s/step] Training: 15%|█▌ | 10559/70000 [3:44:09<21:20:40, 1.29s/step] Training: 15%|█▌ | 10560/70000 [3:44:10<20:46:47, 1.26s/step] Training: 15%|█▌ | 10561/70000 [3:44:11<21:22:09, 1.29s/step] Training: 15%|█▌ | 10562/70000 [3:44:12<20:49:53, 1.26s/step] Training: 15%|█▌ | 10563/70000 [3:44:14<20:39:47, 1.25s/step] Training: 15%|█▌ | 10564/70000 [3:44:15<20:29:28, 1.24s/step] Training: 15%|█▌ | 10565/70000 [3:44:16<20:15:05, 1.23s/step] Training: 15%|█▌ | 10566/70000 [3:44:17<20:35:59, 1.25s/step] Training: 15%|█▌ | 10567/70000 [3:44:19<21:04:26, 1.28s/step] Training: 15%|█▌ | 10568/70000 [3:44:20<20:35:18, 1.25s/step] Training: 15%|█▌ | 10569/70000 [3:44:21<20:24:35, 1.24s/step] Training: 15%|█▌ | 10570/70000 [3:44:22<20:48:55, 1.26s/step] Training: 15%|█▌ | 10571/70000 [3:44:24<20:35:03, 1.25s/step] Training: 15%|█▌ | 10572/70000 [3:44:25<20:58:46, 1.27s/step] Training: 15%|█▌ | 10573/70000 [3:44:26<20:34:31, 1.25s/step] Training: 15%|█▌ | 10574/70000 [3:44:27<20:20:09, 1.23s/step] Training: 15%|█▌ | 10575/70000 [3:44:29<20:57:38, 1.27s/step] Training: 15%|█▌ | 10576/70000 [3:44:30<20:32:18, 1.24s/step] Training: 15%|█▌ | 10577/70000 [3:44:31<20:56:02, 1.27s/step] Training: 15%|█▌ | 10578/70000 [3:44:33<21:08:33, 1.28s/step] Training: 15%|█▌ | 10579/70000 [3:44:34<21:25:57, 1.30s/step] Training: 15%|█▌ | 10580/70000 [3:44:35<21:38:05, 1.31s/step] Training: 15%|█▌ | 10581/70000 [3:44:36<21:02:13, 1.27s/step] Training: 15%|█▌ | 10582/70000 [3:44:38<20:36:07, 1.25s/step] Training: 15%|█▌ | 10583/70000 [3:44:39<20:24:53, 1.24s/step] Training: 15%|█▌ | 10584/70000 [3:44:40<21:00:32, 1.27s/step] Training: 15%|█▌ | 10585/70000 [3:44:41<21:14:33, 1.29s/step] Training: 15%|█▌ | 10586/70000 [3:44:43<20:45:48, 1.26s/step] Training: 15%|█▌ | 10587/70000 [3:44:44<21:06:51, 1.28s/step] Training: 15%|█▌ | 10588/70000 [3:44:45<20:51:51, 1.26s/step] Training: 15%|█▌ | 10589/70000 [3:44:46<20:29:22, 1.24s/step] Training: 15%|█▌ | 10590/70000 [3:44:48<20:22:25, 1.23s/step] Training: 15%|█▌ | 10591/70000 [3:44:49<20:20:30, 1.23s/step] Training: 15%|█▌ | 10592/70000 [3:44:50<20:57:36, 1.27s/step] Training: 15%|█▌ | 10593/70000 [3:44:52<21:23:13, 1.30s/step] Training: 15%|█▌ | 10594/70000 [3:44:53<20:51:02, 1.26s/step] Training: 15%|█▌ | 10595/70000 [3:44:54<20:40:19, 1.25s/step] Training: 15%|█▌ | 10596/70000 [3:44:55<20:25:30, 1.24s/step] Training: 15%|█▌ | 10597/70000 [3:44:56<20:12:39, 1.22s/step] Training: 15%|█▌ | 10598/70000 [3:44:58<20:08:20, 1.22s/step] Training: 15%|█▌ | 10599/70000 [3:44:59<19:58:20, 1.21s/step] Training: 15%|█▌ | 10600/70000 [3:45:00<20:31:32, 1.24s/step]INFO 2026-03-12 23:54:52 ot_train.py:435 step:11K smpl:678K ep:2K epch:8.98 loss:0.159 grdn:13.623 lr:2.4e-05 updt_s:1.240 data_s:0.019 Training: 15%|█▌ | 10601/70000 [3:45:01<20:32:28, 1.24s/step] Training: 15%|█▌ | 10602/70000 [3:45:03<20:16:38, 1.23s/step] Training: 15%|█▌ | 10603/70000 [3:45:04<20:10:22, 1.22s/step] Training: 15%|█▌ | 10604/70000 [3:45:05<20:47:57, 1.26s/step] Training: 15%|█▌ | 10605/70000 [3:45:06<20:28:14, 1.24s/step] Training: 15%|█▌ | 10606/70000 [3:45:08<20:57:28, 1.27s/step] Training: 15%|█▌ | 10607/70000 [3:45:09<20:33:14, 1.25s/step] Training: 15%|█▌ | 10608/70000 [3:45:10<20:37:11, 1.25s/step] Training: 15%|█▌ | 10609/70000 [3:45:11<20:24:08, 1.24s/step] Training: 15%|█▌ | 10610/70000 [3:45:13<20:47:49, 1.26s/step] Training: 15%|█▌ | 10611/70000 [3:45:14<21:11:29, 1.28s/step] Training: 15%|█▌ | 10612/70000 [3:45:15<21:23:05, 1.30s/step] Training: 15%|█▌ | 10613/70000 [3:45:16<20:51:01, 1.26s/step] Training: 15%|█▌ | 10614/70000 [3:45:18<21:13:09, 1.29s/step] Training: 15%|█▌ | 10615/70000 [3:45:19<21:01:33, 1.27s/step] Training: 15%|█▌ | 10616/70000 [3:45:20<20:39:51, 1.25s/step] Training: 15%|█▌ | 10617/70000 [3:45:22<21:29:39, 1.30s/step] Training: 15%|█▌ | 10618/70000 [3:45:23<21:11:42, 1.28s/step] Training: 15%|█▌ | 10619/70000 [3:45:24<21:30:41, 1.30s/step] Training: 15%|█▌ | 10620/70000 [3:45:27<27:53:07, 1.69s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 15%|█▌ | 10621/70000 [3:45:31<39:22:18, 2.39s/step] Training: 15%|█▌ | 10622/70000 [3:45:32<34:24:25, 2.09s/step] Training: 15%|█▌ | 10623/70000 [3:45:34<30:19:23, 1.84s/step] Training: 15%|█▌ | 10624/70000 [3:45:35<27:08:48, 1.65s/step] Training: 15%|█▌ | 10625/70000 [3:45:36<26:16:59, 1.59s/step] Training: 15%|█▌ | 10626/70000 [3:45:37<24:50:39, 1.51s/step] Training: 15%|█▌ | 10627/70000 [3:45:39<23:59:50, 1.46s/step] Training: 15%|█▌ | 10628/70000 [3:45:40<23:03:12, 1.40s/step] Training: 15%|█▌ | 10629/70000 [3:45:41<22:01:14, 1.34s/step] Training: 15%|█▌ | 10630/70000 [3:45:42<21:26:49, 1.30s/step] Training: 15%|█▌ | 10631/70000 [3:45:44<21:44:57, 1.32s/step] Training: 15%|█▌ | 10632/70000 [3:45:45<21:07:02, 1.28s/step] Training: 15%|█▌ | 10633/70000 [3:45:46<20:56:24, 1.27s/step] Training: 15%|█▌ | 10634/70000 [3:45:48<21:46:44, 1.32s/step] Training: 15%|█▌ | 10635/70000 [3:45:49<21:16:10, 1.29s/step] Training: 15%|█▌ | 10636/70000 [3:45:50<21:30:34, 1.30s/step] Training: 15%|█▌ | 10637/70000 [3:45:51<20:57:59, 1.27s/step] Training: 15%|█▌ | 10638/70000 [3:45:53<21:15:13, 1.29s/step] Training: 15%|█▌ | 10639/70000 [3:45:54<21:32:45, 1.31s/step] Training: 15%|█▌ | 10640/70000 [3:45:55<20:59:51, 1.27s/step] Training: 15%|█▌ | 10641/70000 [3:45:57<21:28:26, 1.30s/step] Training: 15%|█▌ | 10642/70000 [3:45:58<21:31:41, 1.31s/step] Training: 15%|█▌ | 10643/70000 [3:45:59<21:40:25, 1.31s/step] Training: 15%|█▌ | 10644/70000 [3:46:01<21:46:00, 1.32s/step] Training: 15%|█▌ | 10645/70000 [3:46:02<21:06:20, 1.28s/step] Training: 15%|█▌ | 10646/70000 [3:46:03<21:20:34, 1.29s/step] Training: 15%|█▌ | 10647/70000 [3:46:04<21:02:30, 1.28s/step] Training: 15%|█▌ | 10648/70000 [3:46:06<20:35:52, 1.25s/step] Training: 15%|█▌ | 10649/70000 [3:46:07<20:58:51, 1.27s/step] Training: 15%|█▌ | 10650/70000 [3:46:08<21:41:44, 1.32s/step] Training: 15%|█▌ | 10651/70000 [3:46:10<21:45:24, 1.32s/step] Training: 15%|█▌ | 10652/70000 [3:46:11<21:48:09, 1.32s/step] Training: 15%|█▌ | 10653/70000 [3:46:12<21:10:17, 1.28s/step] Training: 15%|█▌ | 10654/70000 [3:46:14<21:22:55, 1.30s/step] Training: 15%|█▌ | 10655/70000 [3:46:15<20:58:16, 1.27s/step] Training: 15%|█▌ | 10656/70000 [3:46:16<20:35:11, 1.25s/step] Training: 15%|█▌ | 10657/70000 [3:46:17<21:03:28, 1.28s/step] Training: 15%|█▌ | 10658/70000 [3:46:19<21:25:16, 1.30s/step] Training: 15%|█▌ | 10659/70000 [3:46:20<20:59:34, 1.27s/step] Training: 15%|█▌ | 10660/70000 [3:46:21<20:40:36, 1.25s/step] Training: 15%|█▌ | 10661/70000 [3:46:22<20:21:56, 1.24s/step] Training: 15%|█▌ | 10662/70000 [3:46:23<20:12:08, 1.23s/step] Training: 15%|█▌ | 10663/70000 [3:46:25<20:43:45, 1.26s/step] Training: 15%|█▌ | 10664/70000 [3:46:26<20:23:33, 1.24s/step] Training: 15%|█▌ | 10665/70000 [3:46:27<20:22:25, 1.24s/step] Training: 15%|█▌ | 10666/70000 [3:46:29<20:55:23, 1.27s/step] Training: 15%|█▌ | 10667/70000 [3:46:30<20:38:09, 1.25s/step] Training: 15%|█▌ | 10668/70000 [3:46:31<21:03:51, 1.28s/step] Training: 15%|█▌ | 10669/70000 [3:46:32<20:38:20, 1.25s/step] Training: 15%|█▌ | 10670/70000 [3:46:34<21:01:04, 1.28s/step] Training: 15%|█▌ | 10671/70000 [3:46:35<21:19:05, 1.29s/step] Training: 15%|█▌ | 10672/70000 [3:46:36<20:49:04, 1.26s/step] Training: 15%|█▌ | 10673/70000 [3:46:37<20:33:18, 1.25s/step] Training: 15%|█▌ | 10674/70000 [3:46:39<21:12:53, 1.29s/step] Training: 15%|█▌ | 10675/70000 [3:46:40<21:28:48, 1.30s/step] Training: 15%|█▌ | 10676/70000 [3:46:41<21:38:32, 1.31s/step] Training: 15%|█▌ | 10677/70000 [3:46:43<21:02:13, 1.28s/step] Training: 15%|█▌ | 10678/70000 [3:46:44<21:17:40, 1.29s/step] Training: 15%|█▌ | 10679/70000 [3:46:45<21:02:51, 1.28s/step] Training: 15%|█▌ | 10680/70000 [3:46:46<20:36:27, 1.25s/step] Training: 15%|█▌ | 10681/70000 [3:46:48<21:02:12, 1.28s/step] Training: 15%|█▌ | 10682/70000 [3:46:49<21:04:25, 1.28s/step] Training: 15%|█▌ | 10683/70000 [3:46:50<21:17:06, 1.29s/step] Training: 15%|█▌ | 10684/70000 [3:46:52<21:29:43, 1.30s/step] Training: 15%|█▌ | 10685/70000 [3:46:53<20:55:38, 1.27s/step] Training: 15%|█▌ | 10686/70000 [3:46:54<21:12:21, 1.29s/step] Training: 15%|█▌ | 10687/70000 [3:46:55<20:53:54, 1.27s/step] Training: 15%|█▌ | 10688/70000 [3:46:57<20:30:41, 1.24s/step] Training: 15%|█▌ | 10689/70000 [3:46:58<20:56:34, 1.27s/step] Training: 15%|█▌ | 10690/70000 [3:46:59<20:38:29, 1.25s/step] Training: 15%|█▌ | 10691/70000 [3:47:00<21:05:31, 1.28s/step] Training: 15%|█▌ | 10692/70000 [3:47:02<20:46:49, 1.26s/step] Training: 15%|█▌ | 10693/70000 [3:47:03<20:26:32, 1.24s/step] Training: 15%|█▌ | 10694/70000 [3:47:04<20:17:13, 1.23s/step] Training: 15%|█▌ | 10695/70000 [3:47:05<20:47:45, 1.26s/step] Training: 15%|█▌ | 10696/70000 [3:47:07<20:27:14, 1.24s/step] Training: 15%|█▌ | 10697/70000 [3:47:08<20:25:02, 1.24s/step] Training: 15%|█▌ | 10698/70000 [3:47:09<20:52:29, 1.27s/step] Training: 15%|█▌ | 10699/70000 [3:47:10<20:56:17, 1.27s/step] Training: 15%|█▌ | 10700/70000 [3:47:12<21:15:50, 1.29s/step]INFO 2026-03-12 23:57:04 ot_train.py:435 step:11K smpl:685K ep:2K epch:9.07 loss:0.142 grdn:12.139 lr:2.4e-05 updt_s:1.258 data_s:0.057 Training: 15%|█▌ | 10701/70000 [3:47:13<20:45:42, 1.26s/step] Training: 15%|█▌ | 10702/70000 [3:47:14<21:08:18, 1.28s/step] Training: 15%|█▌ | 10703/70000 [3:47:16<21:21:29, 1.30s/step] Training: 15%|█▌ | 10704/70000 [3:47:17<20:53:14, 1.27s/step] Training: 15%|█▌ | 10705/70000 [3:47:18<20:36:24, 1.25s/step] Training: 15%|█▌ | 10706/70000 [3:47:19<20:57:08, 1.27s/step] Training: 15%|█▌ | 10707/70000 [3:47:21<21:15:19, 1.29s/step] Training: 15%|█▌ | 10708/70000 [3:47:22<22:06:39, 1.34s/step] Training: 15%|█▌ | 10709/70000 [3:47:23<21:22:22, 1.30s/step] Training: 15%|█▌ | 10710/70000 [3:47:25<21:31:42, 1.31s/step] Training: 15%|█▌ | 10711/70000 [3:47:26<21:06:19, 1.28s/step] Training: 15%|█▌ | 10712/70000 [3:47:27<20:38:58, 1.25s/step] Training: 15%|█▌ | 10713/70000 [3:47:28<21:02:22, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=51640 Training: 15%|█▌ | 10714/70000 [3:47:30<20:46:49, 1.26s/step] Training: 15%|█▌ | 10715/70000 [3:47:31<21:16:34, 1.29s/step] Training: 15%|█▌ | 10716/70000 [3:47:32<21:25:05, 1.30s/step] Training: 15%|█▌ | 10717/70000 [3:47:34<20:54:07, 1.27s/step] Training: 15%|█▌ | 10718/70000 [3:47:35<21:12:55, 1.29s/step] Training: 15%|█▌ | 10719/70000 [3:47:36<20:55:32, 1.27s/step] Training: 15%|█▌ | 10720/70000 [3:47:37<20:33:13, 1.25s/step] Training: 15%|█▌ | 10721/70000 [3:47:39<21:00:26, 1.28s/step] Training: 15%|█▌ | 10722/70000 [3:47:40<20:40:26, 1.26s/step] Training: 15%|█▌ | 10723/70000 [3:47:41<20:39:05, 1.25s/step] Training: 15%|█▌ | 10724/70000 [3:47:42<21:08:42, 1.28s/step] Training: 15%|█▌ | 10725/70000 [3:47:44<20:37:36, 1.25s/step] Training: 15%|█▌ | 10726/70000 [3:47:45<20:28:38, 1.24s/step] Training: 15%|█▌ | 10727/70000 [3:47:46<20:13:41, 1.23s/step] Training: 15%|█▌ | 10728/70000 [3:47:47<20:39:53, 1.26s/step] Training: 15%|█▌ | 10729/70000 [3:47:49<20:31:09, 1.25s/step] Training: 15%|█▌ | 10730/70000 [3:47:50<20:54:43, 1.27s/step] Training: 15%|█▌ | 10731/70000 [3:47:51<20:42:51, 1.26s/step] Training: 15%|█▌ | 10732/70000 [3:47:53<21:39:22, 1.32s/step] Training: 15%|█▌ | 10733/70000 [3:47:54<21:02:05, 1.28s/step] Training: 15%|█▌ | 10734/70000 [3:47:55<21:24:24, 1.30s/step] Training: 15%|█▌ | 10735/70000 [3:47:56<20:51:49, 1.27s/step] Training: 15%|█▌ | 10736/70000 [3:47:58<20:28:25, 1.24s/step] Training: 15%|█▌ | 10737/70000 [3:47:59<20:25:40, 1.24s/step] Training: 15%|█▌ | 10738/70000 [3:48:00<20:51:34, 1.27s/step] Training: 15%|█▌ | 10739/70000 [3:48:01<20:28:03, 1.24s/step] Training: 15%|█▌ | 10740/70000 [3:48:03<21:37:55, 1.31s/step] Training: 15%|█▌ | 10741/70000 [3:48:04<21:01:09, 1.28s/step] Training: 15%|█▌ | 10742/70000 [3:48:05<21:22:29, 1.30s/step] Training: 15%|█▌ | 10743/70000 [3:48:07<21:03:26, 1.28s/step] Training: 15%|█▌ | 10744/70000 [3:48:08<20:35:53, 1.25s/step] Training: 15%|█▌ | 10745/70000 [3:48:09<20:18:27, 1.23s/step] Training: 15%|█▌ | 10746/70000 [3:48:10<20:41:32, 1.26s/step] Training: 15%|█▌ | 10747/70000 [3:48:11<20:21:56, 1.24s/step] Training: 15%|█▌ | 10748/70000 [3:48:13<21:08:08, 1.28s/step] Training: 15%|█▌ | 10749/70000 [3:48:14<20:42:11, 1.26s/step] Training: 15%|█▌ | 10750/70000 [3:48:15<21:03:12, 1.28s/step] Training: 15%|█▌ | 10751/70000 [3:48:17<20:43:51, 1.26s/step] Training: 15%|█▌ | 10752/70000 [3:48:18<20:25:24, 1.24s/step] Training: 15%|█▌ | 10753/70000 [3:48:19<20:48:15, 1.26s/step] Training: 15%|█▌ | 10754/70000 [3:48:20<20:31:48, 1.25s/step] Training: 15%|█▌ | 10755/70000 [3:48:22<20:20:51, 1.24s/step] Training: 15%|█▌ | 10756/70000 [3:48:23<20:27:10, 1.24s/step] Training: 15%|█▌ | 10757/70000 [3:48:24<20:08:31, 1.22s/step] Training: 15%|█▌ | 10758/70000 [3:48:25<20:05:50, 1.22s/step] Training: 15%|█▌ | 10759/70000 [3:48:26<20:36:32, 1.25s/step] Training: 15%|█▌ | 10760/70000 [3:48:28<20:18:05, 1.23s/step] Training: 15%|█▌ | 10761/70000 [3:48:29<20:10:46, 1.23s/step] Training: 15%|█▌ | 10762/70000 [3:48:30<20:41:33, 1.26s/step] Training: 15%|█▌ | 10763/70000 [3:48:31<20:35:13, 1.25s/step] Training: 15%|█▌ | 10764/70000 [3:48:33<20:57:44, 1.27s/step] Training: 15%|█▌ | 10765/70000 [3:48:34<21:19:29, 1.30s/step] Training: 15%|█▌ | 10766/70000 [3:48:35<21:31:43, 1.31s/step] Training: 15%|█▌ | 10767/70000 [3:48:37<21:39:19, 1.32s/step] Training: 15%|█▌ | 10768/70000 [3:48:38<21:01:41, 1.28s/step] Training: 15%|█▌ | 10769/70000 [3:48:39<20:51:12, 1.27s/step] Training: 15%|█▌ | 10770/70000 [3:48:41<21:06:37, 1.28s/step] Training: 15%|█▌ | 10771/70000 [3:48:42<20:39:33, 1.26s/step] Training: 15%|█▌ | 10772/70000 [3:48:43<21:41:46, 1.32s/step] Training: 15%|█▌ | 10773/70000 [3:48:44<21:33:17, 1.31s/step] Training: 15%|█▌ | 10774/70000 [3:48:46<21:38:41, 1.32s/step] Training: 15%|█▌ | 10775/70000 [3:48:47<21:14:20, 1.29s/step] Training: 15%|█▌ | 10776/70000 [3:48:48<20:43:34, 1.26s/step] Training: 15%|█▌ | 10777/70000 [3:48:49<20:23:01, 1.24s/step] Training: 15%|█▌ | 10778/70000 [3:48:51<20:47:35, 1.26s/step] Training: 15%|█▌ | 10779/70000 [3:48:52<21:05:19, 1.28s/step] Training: 15%|█▌ | 10780/70000 [3:48:53<21:21:11, 1.30s/step] Training: 15%|█▌ | 10781/70000 [3:48:55<20:49:09, 1.27s/step] Training: 15%|█▌ | 10782/70000 [3:48:56<21:40:48, 1.32s/step] Training: 15%|█▌ | 10783/70000 [3:48:57<21:07:11, 1.28s/step] Training: 15%|█▌ | 10784/70000 [3:48:58<20:39:19, 1.26s/step] Training: 15%|█▌ | 10785/70000 [3:49:00<20:19:51, 1.24s/step] Training: 15%|█▌ | 10786/70000 [3:49:01<20:44:23, 1.26s/step] Training: 15%|█▌ | 10787/70000 [3:49:02<20:26:35, 1.24s/step] Training: 15%|█▌ | 10788/70000 [3:49:03<20:19:01, 1.24s/step] Training: 15%|█▌ | 10789/70000 [3:49:05<20:56:58, 1.27s/step] Training: 15%|█▌ | 10790/70000 [3:49:06<20:33:29, 1.25s/step] Training: 15%|█▌ | 10791/70000 [3:49:07<20:56:52, 1.27s/step] Training: 15%|█▌ | 10792/70000 [3:49:08<20:33:01, 1.25s/step] Training: 15%|█▌ | 10793/70000 [3:49:10<20:15:03, 1.23s/step] Training: 15%|█▌ | 10794/70000 [3:49:11<21:15:46, 1.29s/step] Training: 15%|█▌ | 10795/70000 [3:49:12<21:25:28, 1.30s/step] Training: 15%|█▌ | 10796/70000 [3:49:14<21:35:24, 1.31s/step] Training: 15%|█▌ | 10797/70000 [3:49:15<20:58:57, 1.28s/step] Training: 15%|█▌ | 10798/70000 [3:49:16<21:44:11, 1.32s/step] Training: 15%|█▌ | 10799/70000 [3:49:18<21:46:04, 1.32s/step] Training: 15%|█▌ | 10800/70000 [3:49:19<21:08:08, 1.29s/step]INFO 2026-03-12 23:59:11 ot_train.py:435 step:11K smpl:691K ep:2K epch:9.15 loss:0.135 grdn:11.667 lr:2.4e-05 updt_s:1.249 data_s:0.019 Training: 15%|█▌ | 10801/70000 [3:49:20<20:41:40, 1.26s/step] Training: 15%|█▌ | 10802/70000 [3:49:21<21:01:19, 1.28s/step] Training: 15%|█▌ | 10803/70000 [3:49:23<20:41:07, 1.26s/step] Training: 15%|█▌ | 10804/70000 [3:49:24<21:06:16, 1.28s/step] Training: 15%|█▌ | 10805/70000 [3:49:25<20:38:18, 1.26s/step] Training: 15%|█▌ | 10806/70000 [3:49:27<21:32:17, 1.31s/step] Training: 15%|█▌ | 10807/70000 [3:49:28<21:09:13, 1.29s/step] Training: 15%|█▌ | 10808/70000 [3:49:29<20:41:02, 1.26s/step] Training: 15%|█▌ | 10809/70000 [3:49:30<20:20:16, 1.24s/step] Training: 15%|█▌ | 10810/70000 [3:49:31<20:19:34, 1.24s/step] Training: 15%|█▌ | 10811/70000 [3:49:33<20:47:11, 1.26s/step] Training: 15%|█▌ | 10812/70000 [3:49:34<21:07:34, 1.28s/step] Training: 15%|█▌ | 10813/70000 [3:49:35<20:40:22, 1.26s/step] Training: 15%|█▌ | 10814/70000 [3:49:37<20:59:47, 1.28s/step] Training: 15%|█▌ | 10815/70000 [3:49:38<20:39:44, 1.26s/step] Training: 15%|█▌ | 10816/70000 [3:49:39<20:21:27, 1.24s/step] Training: 15%|█▌ | 10817/70000 [3:49:40<20:09:37, 1.23s/step] Training: 15%|█▌ | 10818/70000 [3:49:41<20:16:27, 1.23s/step] Training: 15%|█▌ | 10819/70000 [3:49:43<20:46:01, 1.26s/step] Training: 15%|█▌ | 10820/70000 [3:49:44<20:31:10, 1.25s/step] Training: 15%|█▌ | 10821/70000 [3:49:45<20:15:06, 1.23s/step] Training: 15%|█▌ | 10822/70000 [3:49:46<20:21:45, 1.24s/step] Training: 15%|█▌ | 10823/70000 [3:49:48<20:51:42, 1.27s/step] Training: 15%|█▌ | 10824/70000 [3:49:49<20:28:15, 1.25s/step] Training: 15%|█▌ | 10825/70000 [3:49:50<20:12:15, 1.23s/step] Training: 15%|█▌ | 10826/70000 [3:49:52<20:49:32, 1.27s/step] Training: 15%|█▌ | 10827/70000 [3:49:53<21:07:45, 1.29s/step] Training: 15%|█▌ | 10828/70000 [3:49:54<21:24:12, 1.30s/step] Training: 15%|█▌ | 10829/70000 [3:49:55<20:49:40, 1.27s/step] Training: 15%|█▌ | 10830/70000 [3:49:57<21:08:39, 1.29s/step] Training: 15%|█▌ | 10831/70000 [3:49:58<21:19:31, 1.30s/step] Training: 15%|█▌ | 10832/70000 [3:49:59<20:47:13, 1.26s/step] Training: 15%|█▌ | 10833/70000 [3:50:00<20:24:10, 1.24s/step] Training: 15%|█▌ | 10834/70000 [3:50:02<20:55:43, 1.27s/step] Training: 15%|█▌ | 10835/70000 [3:50:03<20:34:50, 1.25s/step] Training: 15%|█▌ | 10836/70000 [3:50:04<20:56:32, 1.27s/step] Training: 15%|█▌ | 10837/70000 [3:50:05<20:30:56, 1.25s/step] Training: 15%|█▌ | 10838/70000 [3:50:07<20:52:57, 1.27s/step] Training: 15%|█▌ | 10839/70000 [3:50:08<21:16:33, 1.29s/step] Training: 15%|█▌ | 10840/70000 [3:50:09<20:41:56, 1.26s/step] Training: 15%|█▌ | 10841/70000 [3:50:11<20:20:39, 1.24s/step] Training: 15%|█▌ | 10842/70000 [3:50:12<21:03:57, 1.28s/step] Training: 15%|█▌ | 10843/70000 [3:50:13<21:14:51, 1.29s/step] Training: 15%|█▌ | 10844/70000 [3:50:15<21:27:22, 1.31s/step] Training: 15%|█▌ | 10845/70000 [3:50:16<20:54:23, 1.27s/step] Training: 15%|█▌ | 10846/70000 [3:50:17<21:10:56, 1.29s/step] Training: 15%|█▌ | 10847/70000 [3:50:18<21:10:11, 1.29s/step] Training: 15%|█▌ | 10848/70000 [3:50:20<20:39:38, 1.26s/step] Training: 15%|█▌ | 10849/70000 [3:50:21<20:21:10, 1.24s/step] Training: 16%|█▌ | 10850/70000 [3:50:22<20:28:50, 1.25s/step] Training: 16%|█▌ | 10851/70000 [3:50:23<20:10:57, 1.23s/step] Training: 16%|█▌ | 10852/70000 [3:50:25<20:35:18, 1.25s/step] Training: 16%|█▌ | 10853/70000 [3:50:26<20:16:14, 1.23s/step] Training: 16%|█▌ | 10854/70000 [3:50:27<20:10:19, 1.23s/step] Training: 16%|█▌ | 10855/70000 [3:50:28<20:49:31, 1.27s/step] Training: 16%|█▌ | 10856/70000 [3:50:29<20:21:43, 1.24s/step] Training: 16%|█▌ | 10857/70000 [3:50:31<20:07:12, 1.22s/step] Training: 16%|█▌ | 10858/70000 [3:50:32<20:38:15, 1.26s/step] Training: 16%|█▌ | 10859/70000 [3:50:33<20:18:27, 1.24s/step] Training: 16%|█▌ | 10860/70000 [3:50:35<21:40:28, 1.32s/step] Training: 16%|█▌ | 10861/70000 [3:50:36<21:02:55, 1.28s/step] Training: 16%|█▌ | 10862/70000 [3:50:37<21:14:51, 1.29s/step] Training: 16%|█▌ | 10863/70000 [3:50:39<21:36:36, 1.32s/step] Training: 16%|█▌ | 10864/70000 [3:50:40<20:57:22, 1.28s/step] Training: 16%|█▌ | 10865/70000 [3:50:41<20:31:02, 1.25s/step] Training: 16%|█▌ | 10866/70000 [3:50:42<20:57:57, 1.28s/step] Training: 16%|█▌ | 10867/70000 [3:50:43<20:34:23, 1.25s/step] Training: 16%|█▌ | 10868/70000 [3:50:45<20:56:27, 1.27s/step] Training: 16%|█▌ | 10869/70000 [3:50:46<20:31:14, 1.25s/step] Training: 16%|█▌ | 10870/70000 [3:50:47<20:56:28, 1.27s/step] Training: 16%|█▌ | 10871/70000 [3:50:49<20:45:36, 1.26s/step] Training: 16%|█▌ | 10872/70000 [3:50:50<21:08:52, 1.29s/step] Training: 16%|█▌ | 10873/70000 [3:50:51<20:37:10, 1.26s/step] Training: 16%|█▌ | 10874/70000 [3:50:52<21:11:58, 1.29s/step] Training: 16%|█▌ | 10875/70000 [3:50:54<20:42:59, 1.26s/step] Training: 16%|█▌ | 10876/70000 [3:50:55<21:04:49, 1.28s/step] Training: 16%|█▌ | 10877/70000 [3:50:56<20:39:25, 1.26s/step] Training: 16%|█▌ | 10878/70000 [3:50:57<21:00:29, 1.28s/step] Training: 16%|█▌ | 10879/70000 [3:50:59<20:41:23, 1.26s/step] Training: 16%|█▌ | 10880/70000 [3:51:00<21:05:53, 1.28s/step] Training: 16%|█▌ | 10881/70000 [3:51:01<20:36:36, 1.26s/step] Training: 16%|█▌ | 10882/70000 [3:51:02<20:35:39, 1.25s/step] Training: 16%|█▌ | 10883/70000 [3:51:04<20:17:12, 1.24s/step] Training: 16%|█▌ | 10884/70000 [3:51:05<20:15:10, 1.23s/step] Training: 16%|█▌ | 10885/70000 [3:51:06<20:02:50, 1.22s/step] Training: 16%|█▌ | 10886/70000 [3:51:07<20:00:02, 1.22s/step] Training: 16%|█▌ | 10887/70000 [3:51:09<20:32:06, 1.25s/step] Training: 16%|█▌ | 10888/70000 [3:51:10<20:24:04, 1.24s/step] Training: 16%|█▌ | 10889/70000 [3:51:11<20:08:44, 1.23s/step] Training: 16%|█▌ | 10890/70000 [3:51:12<20:40:06, 1.26s/step] Training: 16%|█▌ | 10891/70000 [3:51:14<20:19:40, 1.24s/step] Training: 16%|█▌ | 10892/70000 [3:51:15<20:48:44, 1.27s/step] Training: 16%|█▌ | 10893/70000 [3:51:16<20:25:53, 1.24s/step] Training: 16%|█▌ | 10894/70000 [3:51:17<20:55:46, 1.27s/step] Training: 16%|█▌ | 10895/70000 [3:51:19<21:10:33, 1.29s/step] Training: 16%|█▌ | 10896/70000 [3:51:20<21:03:56, 1.28s/step] Training: 16%|█▌ | 10897/70000 [3:51:21<20:34:06, 1.25s/step] Training: 16%|█▌ | 10898/70000 [3:51:23<20:58:08, 1.28s/step] Training: 16%|█▌ | 10899/70000 [3:51:24<20:33:03, 1.25s/step] Training: 16%|█▌ | 10900/70000 [3:51:25<20:56:02, 1.28s/step]INFO 2026-03-13 00:01:17 ot_train.py:435 step:11K smpl:698K ep:2K epch:9.24 loss:0.139 grdn:12.436 lr:2.4e-05 updt_s:1.241 data_s:0.019 Training: 16%|█▌ | 10901/70000 [3:51:26<20:29:52, 1.25s/step] Training: 16%|█▌ | 10902/70000 [3:51:28<20:53:12, 1.27s/step] Training: 16%|█▌ | 10903/70000 [3:51:29<20:40:27, 1.26s/step] Training: 16%|█▌ | 10904/70000 [3:51:30<20:20:31, 1.24s/step] Training: 16%|█▌ | 10905/70000 [3:51:31<20:54:27, 1.27s/step] Training: 16%|█▌ | 10906/70000 [3:51:33<21:21:18, 1.30s/step] Training: 16%|█▌ | 10907/70000 [3:51:34<20:50:29, 1.27s/step] Training: 16%|█▌ | 10908/70000 [3:51:35<21:19:28, 1.30s/step] Training: 16%|█▌ | 10909/70000 [3:51:36<20:48:37, 1.27s/step] Training: 16%|█▌ | 10910/70000 [3:51:38<21:05:16, 1.28s/step] Training: 16%|█▌ | 10911/70000 [3:51:39<20:42:28, 1.26s/step] Training: 16%|█▌ | 10912/70000 [3:51:40<20:23:31, 1.24s/step] Training: 16%|█▌ | 10913/70000 [3:51:42<21:14:41, 1.29s/step] Training: 16%|█▌ | 10914/70000 [3:51:43<20:57:12, 1.28s/step] Training: 16%|█▌ | 10915/70000 [3:51:44<20:32:48, 1.25s/step] Training: 16%|█▌ | 10916/70000 [3:51:45<20:19:32, 1.24s/step] Training: 16%|█▌ | 10917/70000 [3:51:46<20:06:54, 1.23s/step] Training: 16%|█▌ | 10918/70000 [3:51:48<20:03:52, 1.22s/step] Training: 16%|█▌ | 10919/70000 [3:51:49<20:40:18, 1.26s/step] Training: 16%|█▌ | 10920/70000 [3:51:50<20:20:47, 1.24s/step] Training: 16%|█▌ | 10921/70000 [3:51:51<20:05:52, 1.22s/step] Training: 16%|█▌ | 10922/70000 [3:51:53<20:40:42, 1.26s/step] Training: 16%|█▌ | 10923/70000 [3:51:54<20:56:30, 1.28s/step] Training: 16%|█▌ | 10924/70000 [3:51:55<21:18:25, 1.30s/step] Training: 16%|█▌ | 10925/70000 [3:51:57<20:47:02, 1.27s/step] Training: 16%|█▌ | 10926/70000 [3:51:58<21:03:53, 1.28s/step] Training: 16%|█▌ | 10927/70000 [3:51:59<21:17:17, 1.30s/step] Training: 16%|█▌ | 10928/70000 [3:52:00<20:46:22, 1.27s/step] Training: 16%|█▌ | 10929/70000 [3:52:02<21:11:24, 1.29s/step] Training: 16%|█▌ | 10930/70000 [3:52:03<21:17:03, 1.30s/step] Training: 16%|█▌ | 10931/70000 [3:52:04<21:03:06, 1.28s/step] Training: 16%|█▌ | 10932/70000 [3:52:06<21:14:32, 1.29s/step] Training: 16%|█▌ | 10933/70000 [3:52:07<20:44:35, 1.26s/step] Training: 16%|█▌ | 10934/70000 [3:52:08<21:01:14, 1.28s/step] Training: 16%|█▌ | 10935/70000 [3:52:09<20:46:18, 1.27s/step] Training: 16%|█▌ | 10936/70000 [3:52:11<20:23:36, 1.24s/step] Training: 16%|█▌ | 10937/70000 [3:52:12<20:08:14, 1.23s/step] Training: 16%|█▌ | 10938/70000 [3:52:13<21:12:40, 1.29s/step] Training: 16%|█▌ | 10939/70000 [3:52:14<20:50:25, 1.27s/step] Training: 16%|█▌ | 10940/70000 [3:52:16<21:19:18, 1.30s/step] Training: 16%|█▌ | 10941/70000 [3:52:17<20:45:53, 1.27s/step] Training: 16%|█▌ | 10942/70000 [3:52:18<21:02:03, 1.28s/step] Training: 16%|█▌ | 10943/70000 [3:52:20<20:38:56, 1.26s/step] Training: 16%|█▌ | 10944/70000 [3:52:21<20:19:40, 1.24s/step] Training: 16%|█▌ | 10945/70000 [3:52:22<20:05:02, 1.22s/step] Training: 16%|█▌ | 10946/70000 [3:52:23<20:43:03, 1.26s/step] Training: 16%|█▌ | 10947/70000 [3:52:25<21:01:06, 1.28s/step] Training: 16%|█▌ | 10948/70000 [3:52:26<20:41:17, 1.26s/step] Training: 16%|█▌ | 10949/70000 [3:52:27<20:19:36, 1.24s/step] Training: 16%|█▌ | 10950/70000 [3:52:28<20:13:41, 1.23s/step] Training: 16%|█▌ | 10951/70000 [3:52:30<20:41:11, 1.26s/step] Training: 16%|█▌ | 10952/70000 [3:52:31<20:20:26, 1.24s/step] Training: 16%|█▌ | 10953/70000 [3:52:32<20:04:54, 1.22s/step] Training: 16%|█▌ | 10954/70000 [3:52:33<19:59:33, 1.22s/step] Training: 16%|█▌ | 10955/70000 [3:52:34<20:30:45, 1.25s/step] Training: 16%|█▌ | 10956/70000 [3:52:36<20:54:11, 1.27s/step] Training: 16%|█▌ | 10957/70000 [3:52:37<20:30:10, 1.25s/step] Training: 16%|█▌ | 10958/70000 [3:52:38<20:53:08, 1.27s/step] Training: 16%|█▌ | 10959/70000 [3:52:40<21:08:20, 1.29s/step] Training: 16%|█▌ | 10960/70000 [3:52:41<20:39:10, 1.26s/step] Training: 16%|█▌ | 10961/70000 [3:52:42<20:18:12, 1.24s/step] Training: 16%|█▌ | 10962/70000 [3:52:43<21:01:40, 1.28s/step] Training: 16%|█▌ | 10963/70000 [3:52:45<21:14:47, 1.30s/step] Training: 16%|█▌ | 10964/70000 [3:52:46<21:24:20, 1.31s/step] Training: 16%|█▌ | 10965/70000 [3:52:47<20:49:59, 1.27s/step] Training: 16%|█▌ | 10966/70000 [3:52:49<21:08:49, 1.29s/step] Training: 16%|█▌ | 10967/70000 [3:52:50<20:51:39, 1.27s/step] Training: 16%|█▌ | 10968/70000 [3:52:51<20:26:29, 1.25s/step] Training: 16%|█▌ | 10969/70000 [3:52:52<20:09:36, 1.23s/step] Training: 16%|█▌ | 10970/70000 [3:52:54<20:40:57, 1.26s/step] Training: 16%|█▌ | 10971/70000 [3:52:55<20:25:43, 1.25s/step] Training: 16%|█▌ | 10972/70000 [3:52:56<20:58:33, 1.28s/step] Training: 16%|█▌ | 10973/70000 [3:52:57<21:11:37, 1.29s/step] Training: 16%|█▌ | 10974/70000 [3:52:59<21:20:07, 1.30s/step] Training: 16%|█▌ | 10975/70000 [3:53:00<20:50:56, 1.27s/step] Training: 16%|█▌ | 10976/70000 [3:53:01<20:26:16, 1.25s/step] Training: 16%|█▌ | 10977/70000 [3:53:02<20:09:12, 1.23s/step] Training: 16%|█▌ | 10978/70000 [3:53:04<20:10:07, 1.23s/step] Training: 16%|█▌ | 10979/70000 [3:53:05<21:01:37, 1.28s/step] Training: 16%|█▌ | 10980/70000 [3:53:06<20:41:07, 1.26s/step] Training: 16%|█▌ | 10981/70000 [3:53:08<21:00:12, 1.28s/step] Training: 16%|█▌ | 10982/70000 [3:53:09<20:37:23, 1.26s/step] Training: 16%|█▌ | 10983/70000 [3:53:10<20:18:01, 1.24s/step] Training: 16%|█▌ | 10984/70000 [3:53:11<20:44:15, 1.26s/step] Training: 16%|█▌ | 10985/70000 [3:53:12<20:21:16, 1.24s/step] Training: 16%|█▌ | 10986/70000 [3:53:14<20:15:10, 1.24s/step] Training: 16%|█▌ | 10987/70000 [3:53:15<21:05:27, 1.29s/step] Training: 16%|█▌ | 10988/70000 [3:53:16<21:18:17, 1.30s/step] Training: 16%|█▌ | 10989/70000 [3:53:18<20:46:36, 1.27s/step] Training: 16%|█▌ | 10990/70000 [3:53:19<21:03:09, 1.28s/step] Training: 16%|█▌ | 10991/70000 [3:53:20<20:35:17, 1.26s/step] Training: 16%|█▌ | 10992/70000 [3:53:21<20:35:09, 1.26s/step] Training: 16%|█▌ | 10993/70000 [3:53:23<20:15:02, 1.24s/step] Training: 16%|█▌ | 10994/70000 [3:53:24<20:40:51, 1.26s/step] Training: 16%|█▌ | 10995/70000 [3:53:25<20:58:12, 1.28s/step] Training: 16%|█▌ | 10996/70000 [3:53:27<21:54:32, 1.34s/step] Training: 16%|█▌ | 10997/70000 [3:53:28<21:11:32, 1.29s/step] Training: 16%|█▌ | 10998/70000 [3:53:29<21:20:35, 1.30s/step] Training: 16%|█▌ | 10999/70000 [3:53:30<20:48:12, 1.27s/step] Training: 16%|█▌ | 11000/70000 [3:53:32<20:25:41, 1.25s/step]INFO 2026-03-13 00:03:24 ot_train.py:435 step:11K smpl:704K ep:2K epch:9.32 loss:0.139 grdn:12.025 lr:2.4e-05 updt_s:1.243 data_s:0.019 Training: 16%|█▌ | 11001/70000 [3:53:33<20:09:51, 1.23s/step] Training: 16%|█▌ | 11002/70000 [3:53:34<20:42:32, 1.26s/step] Training: 16%|█▌ | 11003/70000 [3:53:35<21:11:36, 1.29s/step] Training: 16%|█▌ | 11004/70000 [3:53:37<21:32:38, 1.31s/step] Training: 16%|█▌ | 11005/70000 [3:53:38<20:55:00, 1.28s/step] Training: 16%|█▌ | 11006/70000 [3:53:39<21:08:07, 1.29s/step] Training: 16%|█▌ | 11007/70000 [3:53:41<20:38:58, 1.26s/step] Training: 16%|█▌ | 11008/70000 [3:53:42<21:00:43, 1.28s/step] Training: 16%|█▌ | 11009/70000 [3:53:43<20:34:32, 1.26s/step] Training: 16%|█▌ | 11010/70000 [3:53:44<20:28:35, 1.25s/step] Training: 16%|█▌ | 11011/70000 [3:53:46<20:51:31, 1.27s/step] Training: 16%|█▌ | 11012/70000 [3:53:47<21:11:37, 1.29s/step] Training: 16%|█▌ | 11013/70000 [3:53:48<20:38:29, 1.26s/step] Training: 16%|█▌ | 11014/70000 [3:53:49<20:23:21, 1.24s/step] Training: 16%|█▌ | 11015/70000 [3:53:51<20:06:53, 1.23s/step] Training: 16%|█▌ | 11016/70000 [3:53:52<20:00:00, 1.22s/step] Training: 16%|█▌ | 11017/70000 [3:53:53<19:50:07, 1.21s/step] Training: 16%|█▌ | 11018/70000 [3:53:54<19:49:55, 1.21s/step] Training: 16%|█▌ | 11019/70000 [3:53:55<20:25:05, 1.25s/step] Training: 16%|█▌ | 11020/70000 [3:53:57<21:20:22, 1.30s/step] Training: 16%|█▌ | 11021/70000 [3:53:58<20:46:49, 1.27s/step] Training: 16%|█▌ | 11022/70000 [3:53:59<21:05:17, 1.29s/step] Training: 16%|█▌ | 11023/70000 [3:54:01<20:36:22, 1.26s/step] Training: 16%|█▌ | 11024/70000 [3:54:02<20:27:25, 1.25s/step] Training: 16%|█▌ | 11025/70000 [3:54:03<20:09:48, 1.23s/step] Training: 16%|█▌ | 11026/70000 [3:54:04<20:37:41, 1.26s/step] Training: 16%|█▌ | 11027/70000 [3:54:06<20:57:19, 1.28s/step] Training: 16%|█▌ | 11028/70000 [3:54:07<21:12:47, 1.29s/step] Training: 16%|█▌ | 11029/70000 [3:54:08<20:42:02, 1.26s/step] Training: 16%|█▌ | 11030/70000 [3:54:10<20:59:54, 1.28s/step] Training: 16%|█▌ | 11031/70000 [3:54:11<20:33:15, 1.25s/step] Training: 16%|█▌ | 11032/70000 [3:54:12<20:12:28, 1.23s/step] Training: 16%|█▌ | 11033/70000 [3:54:13<20:37:21, 1.26s/step] Training: 16%|█▌ | 11034/70000 [3:54:15<20:59:33, 1.28s/step] Training: 16%|█▌ | 11035/70000 [3:54:16<20:37:32, 1.26s/step] Training: 16%|█▌ | 11036/70000 [3:54:17<21:15:37, 1.30s/step] Training: 16%|█▌ | 11037/70000 [3:54:18<20:43:08, 1.27s/step] Training: 16%|█▌ | 11038/70000 [3:54:20<21:01:08, 1.28s/step] Training: 16%|█▌ | 11039/70000 [3:54:21<20:33:02, 1.25s/step] Training: 16%|█▌ | 11040/70000 [3:54:22<20:13:30, 1.23s/step] Training: 16%|█▌ | 11041/70000 [3:54:23<19:59:41, 1.22s/step] Training: 16%|█▌ | 11042/70000 [3:54:24<20:03:19, 1.22s/step] Training: 16%|█▌ | 11043/70000 [3:54:26<20:34:40, 1.26s/step] Training: 16%|█▌ | 11044/70000 [3:54:27<20:25:28, 1.25s/step] Training: 16%|█▌ | 11045/70000 [3:54:28<20:05:52, 1.23s/step] Training: 16%|█▌ | 11046/70000 [3:54:29<20:02:03, 1.22s/step] Training: 16%|█▌ | 11047/70000 [3:54:31<19:51:15, 1.21s/step] Training: 16%|█▌ | 11048/70000 [3:54:32<20:00:12, 1.22s/step] Training: 16%|█▌ | 11049/70000 [3:54:33<19:48:17, 1.21s/step] Training: 16%|█▌ | 11050/70000 [3:54:34<19:47:50, 1.21s/step] Training: 16%|█▌ | 11051/70000 [3:54:36<20:23:42, 1.25s/step] Training: 16%|█▌ | 11052/70000 [3:54:37<20:50:20, 1.27s/step] Training: 16%|█▌ | 11053/70000 [3:54:38<21:11:11, 1.29s/step] Training: 16%|█▌ | 11054/70000 [3:54:40<21:17:19, 1.30s/step] Training: 16%|█▌ | 11055/70000 [3:54:41<20:44:47, 1.27s/step] Training: 16%|█▌ | 11056/70000 [3:54:42<20:29:11, 1.25s/step] Training: 16%|█▌ | 11057/70000 [3:54:43<20:11:26, 1.23s/step] Training: 16%|█▌ | 11058/70000 [3:54:44<20:39:21, 1.26s/step] Training: 16%|█▌ | 11059/70000 [3:54:46<20:59:18, 1.28s/step] Training: 16%|█▌ | 11060/70000 [3:54:47<21:12:44, 1.30s/step] Training: 16%|█▌ | 11061/70000 [3:54:48<21:11:29, 1.29s/step] Training: 16%|█▌ | 11062/70000 [3:54:50<21:17:55, 1.30s/step] Training: 16%|█▌ | 11063/70000 [3:54:51<20:44:28, 1.27s/step] Training: 16%|█▌ | 11064/70000 [3:54:52<21:03:12, 1.29s/step] Training: 16%|█▌ | 11065/70000 [3:54:53<20:35:01, 1.26s/step] Training: 16%|█▌ | 11066/70000 [3:54:55<20:58:45, 1.28s/step] Training: 16%|█▌ | 11067/70000 [3:54:56<20:39:23, 1.26s/step] Training: 16%|█▌ | 11068/70000 [3:54:57<21:13:18, 1.30s/step] Training: 16%|█▌ | 11069/70000 [3:54:59<21:29:23, 1.31s/step] Training: 16%|█▌ | 11070/70000 [3:55:00<21:30:46, 1.31s/step] Training: 16%|█▌ | 11071/70000 [3:55:01<20:57:07, 1.28s/step] Training: 16%|█▌ | 11072/70000 [3:55:02<20:29:41, 1.25s/step] Training: 16%|█▌ | 11073/70000 [3:55:04<20:56:34, 1.28s/step] Training: 16%|█▌ | 11074/70000 [3:55:05<20:41:48, 1.26s/step] Training: 16%|█▌ | 11075/70000 [3:55:06<21:00:03, 1.28s/step] Training: 16%|█▌ | 11076/70000 [3:55:08<20:44:04, 1.27s/step] Training: 16%|█▌ | 11077/70000 [3:55:09<21:10:56, 1.29s/step] Training: 16%|█▌ | 11078/70000 [3:55:10<20:45:35, 1.27s/step] Training: 16%|█▌ | 11079/70000 [3:55:11<20:21:36, 1.24s/step] Training: 16%|█▌ | 11080/70000 [3:55:12<20:04:42, 1.23s/step] Training: 16%|█▌ | 11081/70000 [3:55:14<20:29:14, 1.25s/step] Training: 16%|█▌ | 11082/70000 [3:55:15<20:13:50, 1.24s/step] Training: 16%|█▌ | 11083/70000 [3:55:16<20:40:22, 1.26s/step] Training: 16%|█▌ | 11084/70000 [3:55:18<21:07:05, 1.29s/step] Training: 16%|█▌ | 11085/70000 [3:55:19<20:36:51, 1.26s/step] Training: 16%|█▌ | 11086/70000 [3:55:20<21:18:45, 1.30s/step] Training: 16%|█▌ | 11087/70000 [3:55:21<20:46:07, 1.27s/step] Training: 16%|█▌ | 11088/70000 [3:55:23<20:22:57, 1.25s/step] Training: 16%|█▌ | 11089/70000 [3:55:24<20:05:44, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=51640 Training: 16%|█▌ | 11090/70000 [3:55:25<20:35:35, 1.26s/step] Training: 16%|█▌ | 11091/70000 [3:55:26<20:54:11, 1.28s/step] Training: 16%|█▌ | 11092/70000 [3:55:28<21:12:44, 1.30s/step] Training: 16%|█▌ | 11093/70000 [3:55:29<20:42:22, 1.27s/step] Training: 16%|█▌ | 11094/70000 [3:55:30<21:22:10, 1.31s/step] Training: 16%|█▌ | 11095/70000 [3:55:32<20:48:23, 1.27s/step] Training: 16%|█▌ | 11096/70000 [3:55:33<20:23:58, 1.25s/step] Training: 16%|█▌ | 11097/70000 [3:55:34<20:40:48, 1.26s/step] Training: 16%|█▌ | 11098/70000 [3:55:35<20:58:22, 1.28s/step] Training: 16%|█▌ | 11099/70000 [3:55:37<20:40:00, 1.26s/step] Training: 16%|█▌ | 11100/70000 [3:55:38<21:13:48, 1.30s/step]INFO 2026-03-13 00:05:30 ot_train.py:435 step:11K smpl:710K ep:2K epch:9.41 loss:0.143 grdn:12.554 lr:2.4e-05 updt_s:1.244 data_s:0.019 Training: 16%|█▌ | 11101/70000 [3:55:39<20:42:45, 1.27s/step] Training: 16%|█▌ | 11102/70000 [3:55:41<21:10:59, 1.29s/step] Training: 16%|█▌ | 11103/70000 [3:55:42<20:41:19, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=32504 Training: 16%|█▌ | 11104/70000 [3:55:43<20:17:56, 1.24s/step] Training: 16%|█▌ | 11105/70000 [3:55:44<20:42:36, 1.27s/step] Training: 16%|█▌ | 11106/70000 [3:55:46<20:37:35, 1.26s/step] Training: 16%|█▌ | 11107/70000 [3:55:47<20:58:23, 1.28s/step] Training: 16%|█▌ | 11108/70000 [3:55:48<20:43:19, 1.27s/step] Training: 16%|█▌ | 11109/70000 [3:55:49<20:20:55, 1.24s/step] Training: 16%|█▌ | 11110/70000 [3:55:51<20:23:00, 1.25s/step] Training: 16%|█▌ | 11111/70000 [3:55:52<20:04:50, 1.23s/step] Training: 16%|█▌ | 11112/70000 [3:55:53<19:54:36, 1.22s/step] Training: 16%|█▌ | 11113/70000 [3:55:54<19:55:29, 1.22s/step] Training: 16%|█▌ | 11114/70000 [3:55:55<20:03:15, 1.23s/step] Training: 16%|█▌ | 11115/70000 [3:55:57<20:32:23, 1.26s/step] Training: 16%|█▌ | 11116/70000 [3:55:58<20:59:02, 1.28s/step] Training: 16%|█▌ | 11117/70000 [3:55:59<20:32:04, 1.26s/step] Training: 16%|█▌ | 11118/70000 [3:56:01<20:51:54, 1.28s/step] Training: 16%|█▌ | 11119/70000 [3:56:02<21:14:45, 1.30s/step] Training: 16%|█▌ | 11120/70000 [3:56:03<20:39:43, 1.26s/step] Training: 16%|█▌ | 11121/70000 [3:56:04<20:59:09, 1.28s/step] Training: 16%|█▌ | 11122/70000 [3:56:06<21:23:20, 1.31s/step] Training: 16%|█▌ | 11123/70000 [3:56:07<21:31:30, 1.32s/step] Training: 16%|█▌ | 11124/70000 [3:56:08<21:42:36, 1.33s/step] Training: 16%|█▌ | 11125/70000 [3:56:10<21:03:06, 1.29s/step] Training: 16%|█▌ | 11126/70000 [3:56:11<21:16:53, 1.30s/step] Training: 16%|█▌ | 11127/70000 [3:56:12<21:08:16, 1.29s/step] Training: 16%|█▌ | 11128/70000 [3:56:13<20:38:41, 1.26s/step] Training: 16%|█▌ | 11129/70000 [3:56:15<20:56:37, 1.28s/step] Training: 16%|█▌ | 11130/70000 [3:56:16<21:19:16, 1.30s/step] Training: 16%|█▌ | 11131/70000 [3:56:17<20:51:29, 1.28s/step] Training: 16%|█▌ | 11132/70000 [3:56:19<21:17:24, 1.30s/step] Training: 16%|█▌ | 11133/70000 [3:56:20<20:44:43, 1.27s/step] Training: 16%|█▌ | 11134/70000 [3:56:21<21:02:47, 1.29s/step] Training: 16%|█▌ | 11135/70000 [3:56:22<20:33:39, 1.26s/step] Training: 16%|█▌ | 11136/70000 [3:56:24<21:01:31, 1.29s/step] Training: 16%|█▌ | 11137/70000 [3:56:25<21:13:05, 1.30s/step] Training: 16%|█▌ | 11138/70000 [3:56:26<20:58:22, 1.28s/step] Training: 16%|█▌ | 11139/70000 [3:56:28<21:13:03, 1.30s/step] Training: 16%|█▌ | 11140/70000 [3:56:29<20:54:26, 1.28s/step] Training: 16%|█▌ | 11141/70000 [3:56:30<20:29:19, 1.25s/step] Training: 16%|█▌ | 11142/70000 [3:56:31<20:18:58, 1.24s/step] Training: 16%|█▌ | 11143/70000 [3:56:33<20:51:55, 1.28s/step] Training: 16%|█▌ | 11144/70000 [3:56:34<20:23:00, 1.25s/step] Training: 16%|█▌ | 11145/70000 [3:56:35<20:15:25, 1.24s/step] Training: 16%|█▌ | 11146/70000 [3:56:36<20:10:10, 1.23s/step] Training: 16%|█▌ | 11147/70000 [3:56:38<20:38:33, 1.26s/step] Training: 16%|█▌ | 11148/70000 [3:56:39<20:56:42, 1.28s/step] Training: 16%|█▌ | 11149/70000 [3:56:40<20:29:35, 1.25s/step] Training: 16%|█▌ | 11150/70000 [3:56:41<20:53:10, 1.28s/step] Training: 16%|█▌ | 11151/70000 [3:56:43<20:26:43, 1.25s/step] Training: 16%|█▌ | 11152/70000 [3:56:44<20:52:50, 1.28s/step] Training: 16%|█▌ | 11153/70000 [3:56:45<21:09:48, 1.29s/step] Training: 16%|█▌ | 11154/70000 [3:56:47<21:22:38, 1.31s/step] Training: 16%|█▌ | 11155/70000 [3:56:48<21:30:11, 1.32s/step] Training: 16%|█▌ | 11156/70000 [3:56:49<21:34:00, 1.32s/step] Training: 16%|█▌ | 11157/70000 [3:56:51<20:56:46, 1.28s/step] Training: 16%|█▌ | 11158/70000 [3:56:52<21:12:46, 1.30s/step] Training: 16%|█▌ | 11159/70000 [3:56:53<20:41:09, 1.27s/step] Training: 16%|█▌ | 11160/70000 [3:56:54<21:03:23, 1.29s/step] Training: 16%|█▌ | 11161/70000 [3:56:56<21:14:25, 1.30s/step] Training: 16%|█▌ | 11162/70000 [3:56:57<20:43:19, 1.27s/step] Training: 16%|█▌ | 11163/70000 [3:56:58<21:00:36, 1.29s/step] Training: 16%|█▌ | 11164/70000 [3:57:00<21:26:25, 1.31s/step] Training: 16%|█▌ | 11165/70000 [3:57:01<20:49:40, 1.27s/step] Training: 16%|█▌ | 11166/70000 [3:57:02<21:05:28, 1.29s/step] Training: 16%|█▌ | 11167/70000 [3:57:03<20:35:09, 1.26s/step] Training: 16%|█▌ | 11168/70000 [3:57:05<20:13:48, 1.24s/step] Training: 16%|█▌ | 11169/70000 [3:57:06<20:12:21, 1.24s/step] Training: 16%|█▌ | 11170/70000 [3:57:07<19:57:57, 1.22s/step] Training: 16%|█▌ | 11171/70000 [3:57:08<20:59:08, 1.28s/step] Training: 16%|█▌ | 11172/70000 [3:57:10<20:41:34, 1.27s/step] Training: 16%|█▌ | 11173/70000 [3:57:11<20:19:27, 1.24s/step] Training: 16%|█▌ | 11174/70000 [3:57:12<20:08:39, 1.23s/step] Training: 16%|█▌ | 11175/70000 [3:57:13<19:56:02, 1.22s/step] Training: 16%|█▌ | 11176/70000 [3:57:14<20:03:00, 1.23s/step] Training: 16%|█▌ | 11177/70000 [3:57:16<20:00:34, 1.22s/step] Training: 16%|█▌ | 11178/70000 [3:57:17<19:51:48, 1.22s/step] Training: 16%|█▌ | 11179/70000 [3:57:18<20:25:18, 1.25s/step] Training: 16%|█▌ | 11180/70000 [3:57:20<20:49:55, 1.28s/step] Training: 16%|█▌ | 11181/70000 [3:57:21<20:24:28, 1.25s/step] Training: 16%|█▌ | 11182/70000 [3:57:22<20:49:30, 1.27s/step] Training: 16%|█▌ | 11183/70000 [3:57:23<20:25:02, 1.25s/step] Training: 16%|█▌ | 11184/70000 [3:57:24<20:24:49, 1.25s/step] Training: 16%|█▌ | 11185/70000 [3:57:26<20:47:54, 1.27s/step] Training: 16%|█▌ | 11186/70000 [3:57:27<20:23:41, 1.25s/step] Training: 16%|█▌ | 11187/70000 [3:57:28<20:56:33, 1.28s/step] Training: 16%|█▌ | 11188/70000 [3:57:30<21:10:05, 1.30s/step] Training: 16%|█▌ | 11189/70000 [3:57:31<20:37:58, 1.26s/step] Training: 16%|█▌ | 11190/70000 [3:57:32<20:55:52, 1.28s/step] Training: 16%|█▌ | 11191/70000 [3:57:33<20:29:32, 1.25s/step] Training: 16%|█▌ | 11192/70000 [3:57:35<20:11:13, 1.24s/step] Training: 16%|█▌ | 11193/70000 [3:57:36<21:11:42, 1.30s/step] Training: 16%|█▌ | 11194/70000 [3:57:37<20:39:28, 1.26s/step] Training: 16%|█▌ | 11195/70000 [3:57:39<21:00:32, 1.29s/step] Training: 16%|█▌ | 11196/70000 [3:57:40<21:28:52, 1.32s/step] Training: 16%|█▌ | 11197/70000 [3:57:41<20:51:05, 1.28s/step] Training: 16%|█▌ | 11198/70000 [3:57:42<21:05:58, 1.29s/step] Training: 16%|█▌ | 11199/70000 [3:57:44<20:35:54, 1.26s/step] Training: 16%|█▌ | 11200/70000 [3:57:45<20:15:35, 1.24s/step]INFO 2026-03-13 00:07:37 ot_train.py:435 step:11K smpl:717K ep:2K epch:9.49 loss:0.154 grdn:12.653 lr:2.4e-05 updt_s:1.247 data_s:0.019 Training: 16%|█▌ | 11201/70000 [3:57:46<20:31:38, 1.26s/step] Training: 16%|█▌ | 11202/70000 [3:57:47<20:10:22, 1.24s/step] Training: 16%|█▌ | 11203/70000 [3:57:49<20:39:54, 1.27s/step] Training: 16%|█▌ | 11204/70000 [3:57:50<20:24:02, 1.25s/step] Training: 16%|█▌ | 11205/70000 [3:57:51<20:06:22, 1.23s/step] Training: 16%|█▌ | 11206/70000 [3:57:52<20:03:47, 1.23s/step] Training: 16%|█▌ | 11207/70000 [3:57:53<19:54:00, 1.22s/step] Training: 16%|█▌ | 11208/70000 [3:57:55<19:43:53, 1.21s/step] Training: 16%|█▌ | 11209/70000 [3:57:56<20:27:06, 1.25s/step] Training: 16%|█▌ | 11210/70000 [3:57:57<20:04:39, 1.23s/step] Training: 16%|█▌ | 11211/70000 [3:57:59<20:42:21, 1.27s/step] Training: 16%|█▌ | 11212/70000 [3:58:00<21:01:01, 1.29s/step] Training: 16%|█▌ | 11213/70000 [3:58:01<20:31:46, 1.26s/step] Training: 16%|█▌ | 11214/70000 [3:58:02<20:53:06, 1.28s/step] Training: 16%|█▌ | 11215/70000 [3:58:04<20:27:02, 1.25s/step] Training: 16%|█▌ | 11216/70000 [3:58:05<20:07:43, 1.23s/step] Training: 16%|█▌ | 11217/70000 [3:58:06<20:42:25, 1.27s/step] Training: 16%|█▌ | 11218/70000 [3:58:07<20:15:39, 1.24s/step] Training: 16%|█▌ | 11219/70000 [3:58:09<20:41:40, 1.27s/step] Training: 16%|█▌ | 11220/70000 [3:58:10<21:01:01, 1.29s/step] Training: 16%|█▌ | 11221/70000 [3:58:11<20:31:56, 1.26s/step] Training: 16%|█▌ | 11222/70000 [3:58:12<20:56:20, 1.28s/step] Training: 16%|█▌ | 11223/70000 [3:58:14<20:30:35, 1.26s/step] Training: 16%|█▌ | 11224/70000 [3:58:15<20:12:57, 1.24s/step] Training: 16%|█▌ | 11225/70000 [3:58:16<20:38:21, 1.26s/step] Training: 16%|█▌ | 11226/70000 [3:58:18<20:59:41, 1.29s/step] Training: 16%|█▌ | 11227/70000 [3:58:19<21:13:12, 1.30s/step] Training: 16%|█▌ | 11228/70000 [3:58:20<21:40:25, 1.33s/step] Training: 16%|█▌ | 11229/70000 [3:58:21<20:59:20, 1.29s/step] Training: 16%|█▌ | 11230/70000 [3:58:23<21:14:56, 1.30s/step] Training: 16%|█▌ | 11231/70000 [3:58:24<20:40:51, 1.27s/step] Training: 16%|█▌ | 11232/70000 [3:58:25<20:18:15, 1.24s/step] Training: 16%|█▌ | 11233/70000 [3:58:26<20:14:38, 1.24s/step] Training: 16%|█▌ | 11234/70000 [3:58:28<20:48:48, 1.28s/step] Training: 16%|█▌ | 11235/70000 [3:58:29<21:02:12, 1.29s/step] Training: 16%|█▌ | 11236/70000 [3:58:30<20:43:36, 1.27s/step] Training: 16%|█▌ | 11237/70000 [3:58:31<20:20:28, 1.25s/step] Training: 16%|█▌ | 11238/70000 [3:58:33<20:09:12, 1.23s/step] Training: 16%|█▌ | 11239/70000 [3:58:34<19:56:07, 1.22s/step] Training: 16%|█▌ | 11240/70000 [3:58:35<19:48:45, 1.21s/step] Training: 16%|█▌ | 11241/70000 [3:58:36<19:42:53, 1.21s/step] Training: 16%|█▌ | 11242/70000 [3:58:38<20:19:54, 1.25s/step] Training: 16%|█▌ | 11243/70000 [3:58:39<20:39:47, 1.27s/step] Training: 16%|█▌ | 11244/70000 [3:58:40<21:01:44, 1.29s/step] Training: 16%|█▌ | 11245/70000 [3:58:41<20:32:29, 1.26s/step] Training: 16%|█▌ | 11246/70000 [3:58:43<20:50:11, 1.28s/step] Training: 16%|█▌ | 11247/70000 [3:58:44<20:24:15, 1.25s/step] Training: 16%|█▌ | 11248/70000 [3:58:45<20:05:24, 1.23s/step] Training: 16%|█▌ | 11249/70000 [3:58:46<20:35:30, 1.26s/step] Training: 16%|█▌ | 11250/70000 [3:58:48<21:03:57, 1.29s/step] Training: 16%|█▌ | 11251/70000 [3:58:49<21:12:18, 1.30s/step] Training: 16%|█▌ | 11252/70000 [3:58:50<21:23:26, 1.31s/step] Training: 16%|█▌ | 11253/70000 [3:58:52<20:47:35, 1.27s/step] Training: 16%|█▌ | 11254/70000 [3:58:53<21:02:43, 1.29s/step] Training: 16%|█▌ | 11255/70000 [3:58:54<20:33:03, 1.26s/step] Training: 16%|█▌ | 11256/70000 [3:58:55<20:13:31, 1.24s/step] Training: 16%|█▌ | 11257/70000 [3:58:57<20:39:30, 1.27s/step] Training: 16%|█▌ | 11258/70000 [3:58:58<20:32:48, 1.26s/step] Training: 16%|█▌ | 11259/70000 [3:58:59<20:51:23, 1.28s/step] Training: 16%|█▌ | 11260/70000 [3:59:01<21:22:21, 1.31s/step] Training: 16%|█▌ | 11261/70000 [3:59:02<20:46:53, 1.27s/step] Training: 16%|█▌ | 11262/70000 [3:59:03<21:01:44, 1.29s/step] Training: 16%|█▌ | 11263/70000 [3:59:04<20:32:05, 1.26s/step] Training: 16%|█▌ | 11264/70000 [3:59:06<20:11:57, 1.24s/step] Training: 16%|█▌ | 11265/70000 [3:59:07<20:09:33, 1.24s/step] Training: 16%|█▌ | 11266/70000 [3:59:08<19:58:30, 1.22s/step] Training: 16%|█▌ | 11267/70000 [3:59:09<21:10:34, 1.30s/step] Training: 16%|█▌ | 11268/70000 [3:59:11<20:50:15, 1.28s/step] Training: 16%|█▌ | 11269/70000 [3:59:12<20:25:51, 1.25s/step] Training: 16%|█▌ | 11270/70000 [3:59:13<20:13:03, 1.24s/step] Training: 16%|█▌ | 11271/70000 [3:59:14<19:57:48, 1.22s/step] Training: 16%|█▌ | 11272/70000 [3:59:15<19:47:27, 1.21s/step] Training: 16%|█▌ | 11273/70000 [3:59:17<19:45:10, 1.21s/step] Training: 16%|█▌ | 11274/70000 [3:59:18<19:39:34, 1.21s/step] Training: 16%|█▌ | 11275/70000 [3:59:19<20:45:23, 1.27s/step] Training: 16%|█▌ | 11276/70000 [3:59:21<21:05:55, 1.29s/step] Training: 16%|█▌ | 11277/70000 [3:59:22<20:34:56, 1.26s/step] Training: 16%|█▌ | 11278/70000 [3:59:23<20:52:04, 1.28s/step] Training: 16%|█▌ | 11279/70000 [3:59:24<20:25:19, 1.25s/step] Training: 16%|█▌ | 11280/70000 [3:59:26<20:06:25, 1.23s/step] Training: 16%|█▌ | 11281/70000 [3:59:27<20:32:30, 1.26s/step] Training: 16%|█▌ | 11282/70000 [3:59:28<20:12:55, 1.24s/step] Training: 16%|█▌ | 11283/70000 [3:59:29<20:46:35, 1.27s/step] Training: 16%|█▌ | 11284/70000 [3:59:31<21:02:01, 1.29s/step] Training: 16%|█▌ | 11285/70000 [3:59:32<20:33:43, 1.26s/step] Training: 16%|█▌ | 11286/70000 [3:59:33<20:53:26, 1.28s/step] Training: 16%|█▌ | 11287/70000 [3:59:34<20:27:25, 1.25s/step] Training: 16%|█▌ | 11288/70000 [3:59:36<20:08:01, 1.23s/step] Training: 16%|█▌ | 11289/70000 [3:59:37<20:33:04, 1.26s/step] Training: 16%|█▌ | 11290/70000 [3:59:38<20:12:02, 1.24s/step] Training: 16%|█▌ | 11291/70000 [3:59:39<20:40:20, 1.27s/step] Training: 16%|█▌ | 11292/70000 [3:59:41<21:31:32, 1.32s/step] Training: 16%|█▌ | 11293/70000 [3:59:42<20:52:11, 1.28s/step] Training: 16%|█▌ | 11294/70000 [3:59:43<21:03:28, 1.29s/step] Training: 16%|█▌ | 11295/70000 [3:59:45<20:32:35, 1.26s/step] Training: 16%|█▌ | 11296/70000 [3:59:46<20:11:49, 1.24s/step] Training: 16%|█▌ | 11297/70000 [3:59:47<20:08:50, 1.24s/step] Training: 16%|█▌ | 11298/70000 [3:59:48<19:56:50, 1.22s/step] Training: 16%|█▌ | 11299/70000 [3:59:50<20:31:22, 1.26s/step] Training: 16%|█▌ | 11300/70000 [3:59:51<21:01:55, 1.29s/step]INFO 2026-03-13 00:09:43 ot_train.py:435 step:11K smpl:723K ep:2K epch:9.58 loss:0.148 grdn:12.086 lr:2.4e-05 updt_s:1.240 data_s:0.019 Training: 16%|█▌ | 11301/70000 [3:59:52<20:29:15, 1.26s/step] Training: 16%|█▌ | 11302/70000 [3:59:53<20:15:13, 1.24s/step] Training: 16%|█▌ | 11303/70000 [3:59:54<19:59:19, 1.23s/step] Training: 16%|█▌ | 11304/70000 [3:59:56<19:48:49, 1.22s/step] Training: 16%|█▌ | 11305/70000 [3:59:57<19:45:30, 1.21s/step] Training: 16%|█▌ | 11306/70000 [3:59:58<19:40:48, 1.21s/step] Training: 16%|█▌ | 11307/70000 [3:59:59<20:18:21, 1.25s/step] Training: 16%|█▌ | 11308/70000 [4:00:01<20:44:00, 1.27s/step] Training: 16%|█▌ | 11309/70000 [4:00:02<20:19:36, 1.25s/step] Training: 16%|█▌ | 11310/70000 [4:00:03<20:41:11, 1.27s/step] Training: 16%|█▌ | 11311/70000 [4:00:04<20:17:14, 1.24s/step] Training: 16%|█▌ | 11312/70000 [4:00:06<20:00:49, 1.23s/step] Training: 16%|█▌ | 11313/70000 [4:00:07<20:29:51, 1.26s/step] Training: 16%|█▌ | 11314/70000 [4:00:08<20:10:46, 1.24s/step] Training: 16%|█▌ | 11315/70000 [4:00:09<20:42:30, 1.27s/step] Training: 16%|█▌ | 11316/70000 [4:00:11<21:10:21, 1.30s/step] Training: 16%|█▌ | 11317/70000 [4:00:12<20:38:59, 1.27s/step] Training: 16%|█▌ | 11318/70000 [4:00:13<20:55:18, 1.28s/step] Training: 16%|█▌ | 11319/70000 [4:00:15<20:30:07, 1.26s/step] Training: 16%|█▌ | 11320/70000 [4:00:16<20:09:10, 1.24s/step] Training: 16%|█▌ | 11321/70000 [4:00:17<20:36:56, 1.26s/step] Training: 16%|█▌ | 11322/70000 [4:00:18<20:15:18, 1.24s/step] Training: 16%|█▌ | 11323/70000 [4:00:20<20:37:20, 1.27s/step] Training: 16%|█▌ | 11324/70000 [4:00:21<21:09:15, 1.30s/step] Training: 16%|█▌ | 11325/70000 [4:00:22<20:37:49, 1.27s/step] Training: 16%|█▌ | 11326/70000 [4:00:23<20:54:09, 1.28s/step] Training: 16%|█▌ | 11327/70000 [4:00:25<20:26:06, 1.25s/step] Training: 16%|█▌ | 11328/70000 [4:00:26<20:09:49, 1.24s/step] Training: 16%|█▌ | 11329/70000 [4:00:27<20:06:58, 1.23s/step] Training: 16%|█▌ | 11330/70000 [4:00:28<19:54:02, 1.22s/step] Training: 16%|█▌ | 11331/70000 [4:00:30<20:30:45, 1.26s/step] Training: 16%|█▌ | 11332/70000 [4:00:31<20:19:10, 1.25s/step] Training: 16%|█▌ | 11333/70000 [4:00:32<20:49:09, 1.28s/step] Training: 16%|█▌ | 11334/70000 [4:00:33<20:26:57, 1.25s/step] Training: 16%|█▌ | 11335/70000 [4:00:35<20:07:52, 1.24s/step] Training: 16%|█▌ | 11336/70000 [4:00:36<19:54:37, 1.22s/step] Training: 16%|█▌ | 11337/70000 [4:00:37<19:51:36, 1.22s/step] Training: 16%|█▌ | 11338/70000 [4:00:38<19:43:38, 1.21s/step] Training: 16%|█▌ | 11339/70000 [4:00:40<20:22:11, 1.25s/step] Training: 16%|█▌ | 11340/70000 [4:00:41<20:45:38, 1.27s/step] Training: 16%|█▌ | 11341/70000 [4:00:42<20:40:41, 1.27s/step] Training: 16%|█▌ | 11342/70000 [4:00:43<20:56:44, 1.29s/step] Training: 16%|█▌ | 11343/70000 [4:00:45<20:28:22, 1.26s/step] Training: 16%|█▌ | 11344/70000 [4:00:46<20:09:12, 1.24s/step] Training: 16%|█▌ | 11345/70000 [4:00:47<20:37:02, 1.27s/step] Training: 16%|█▌ | 11346/70000 [4:00:48<20:14:35, 1.24s/step] Training: 16%|█▌ | 11347/70000 [4:00:50<20:39:55, 1.27s/step] Training: 16%|█▌ | 11348/70000 [4:00:51<20:58:27, 1.29s/step] Training: 16%|█▌ | 11349/70000 [4:00:52<20:30:11, 1.26s/step] Training: 16%|█▌ | 11350/70000 [4:00:54<21:14:53, 1.30s/step] Training: 16%|█▌ | 11351/70000 [4:00:55<20:41:09, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=32504 Training: 16%|█▌ | 11352/70000 [4:00:56<20:18:16, 1.25s/step] Training: 16%|█▌ | 11353/70000 [4:00:57<20:42:12, 1.27s/step] Training: 16%|█▌ | 11354/70000 [4:00:58<20:19:23, 1.25s/step] Training: 16%|█▌ | 11355/70000 [4:01:00<20:39:43, 1.27s/step] Training: 16%|█▌ | 11356/70000 [4:01:01<21:08:03, 1.30s/step] Training: 16%|█▌ | 11357/70000 [4:01:03<21:26:20, 1.32s/step] Training: 16%|█▌ | 11358/70000 [4:01:04<21:25:15, 1.32s/step] Training: 16%|█▌ | 11359/70000 [4:01:05<20:47:08, 1.28s/step] Training: 16%|█▌ | 11360/70000 [4:01:06<20:20:47, 1.25s/step] Training: 16%|█▌ | 11361/70000 [4:01:07<20:06:38, 1.23s/step] Training: 16%|█▌ | 11362/70000 [4:01:09<19:55:17, 1.22s/step] Training: 16%|█▌ | 11363/70000 [4:01:10<20:25:51, 1.25s/step] Training: 16%|█▌ | 11364/70000 [4:01:11<20:17:04, 1.25s/step] Training: 16%|█▌ | 11365/70000 [4:01:12<20:00:08, 1.23s/step] Training: 16%|█▌ | 11366/70000 [4:01:14<20:38:39, 1.27s/step] Training: 16%|█▌ | 11367/70000 [4:01:15<20:12:39, 1.24s/step] Training: 16%|█▌ | 11368/70000 [4:01:16<19:59:03, 1.23s/step] Training: 16%|█▌ | 11369/70000 [4:01:17<19:59:14, 1.23s/step] Training: 16%|█▌ | 11370/70000 [4:01:19<19:47:55, 1.22s/step] Training: 16%|█▌ | 11371/70000 [4:01:20<20:22:11, 1.25s/step] Training: 16%|█▌ | 11372/70000 [4:01:21<20:46:00, 1.28s/step] Training: 16%|█▌ | 11373/70000 [4:01:22<20:21:51, 1.25s/step] Training: 16%|█▌ | 11374/70000 [4:01:24<21:12:14, 1.30s/step] Training: 16%|█▋ | 11375/70000 [4:01:25<20:40:13, 1.27s/step] Training: 16%|█▋ | 11376/70000 [4:01:26<20:18:00, 1.25s/step] Training: 16%|█▋ | 11377/70000 [4:01:27<20:00:31, 1.23s/step] Training: 16%|█▋ | 11378/70000 [4:01:29<20:26:29, 1.26s/step] Training: 16%|█▋ | 11379/70000 [4:01:30<20:48:00, 1.28s/step] Training: 16%|█▋ | 11380/70000 [4:01:31<21:02:31, 1.29s/step] Training: 16%|█▋ | 11381/70000 [4:01:33<20:35:18, 1.26s/step] Training: 16%|█▋ | 11382/70000 [4:01:34<20:53:20, 1.28s/step] Training: 16%|█▋ | 11383/70000 [4:01:35<20:26:23, 1.26s/step] Training: 16%|█▋ | 11384/70000 [4:01:36<20:06:59, 1.24s/step] Training: 16%|█▋ | 11385/70000 [4:01:38<20:34:27, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=51640 Training: 16%|█▋ | 11386/70000 [4:01:39<20:12:58, 1.24s/step] Training: 16%|█▋ | 11387/70000 [4:01:40<20:37:51, 1.27s/step] Training: 16%|█▋ | 11388/70000 [4:01:41<21:10:44, 1.30s/step] Training: 16%|█▋ | 11389/70000 [4:01:43<20:37:57, 1.27s/step] Training: 16%|█▋ | 11390/70000 [4:01:44<21:15:20, 1.31s/step] Training: 16%|█▋ | 11391/70000 [4:01:45<20:43:02, 1.27s/step] Training: 16%|█▋ | 11392/70000 [4:01:46<20:18:55, 1.25s/step] Training: 16%|█▋ | 11393/70000 [4:01:48<21:02:55, 1.29s/step] Training: 16%|█▋ | 11394/70000 [4:01:49<20:35:18, 1.26s/step] Training: 16%|█▋ | 11395/70000 [4:01:50<20:52:58, 1.28s/step] Training: 16%|█▋ | 11396/70000 [4:01:52<20:34:39, 1.26s/step] Training: 16%|█▋ | 11397/70000 [4:01:53<20:13:13, 1.24s/step] Training: 16%|█▋ | 11398/70000 [4:01:54<20:14:33, 1.24s/step] Training: 16%|█▋ | 11399/70000 [4:01:55<19:56:27, 1.23s/step] Training: 16%|█▋ | 11400/70000 [4:01:56<19:45:52, 1.21s/step]INFO 2026-03-13 00:11:49 ot_train.py:435 step:11K smpl:730K ep:2K epch:9.66 loss:0.154 grdn:12.603 lr:2.3e-05 updt_s:1.234 data_s:0.019 Training: 16%|█▋ | 11401/70000 [4:01:58<19:52:01, 1.22s/step] Training: 16%|█▋ | 11402/70000 [4:01:59<19:44:57, 1.21s/step] Training: 16%|█▋ | 11403/70000 [4:02:00<20:19:37, 1.25s/step] Training: 16%|█▋ | 11404/70000 [4:02:01<20:42:07, 1.27s/step] Training: 16%|█▋ | 11405/70000 [4:02:03<20:17:40, 1.25s/step] Training: 16%|█▋ | 11406/70000 [4:02:04<20:40:54, 1.27s/step] Training: 16%|█▋ | 11407/70000 [4:02:05<21:02:21, 1.29s/step] Training: 16%|█▋ | 11408/70000 [4:02:07<20:31:51, 1.26s/step] Training: 16%|█▋ | 11409/70000 [4:02:08<20:08:29, 1.24s/step] Training: 16%|█▋ | 11410/70000 [4:02:09<20:33:48, 1.26s/step] Training: 16%|█▋ | 11411/70000 [4:02:10<20:56:07, 1.29s/step] Training: 16%|█▋ | 11412/70000 [4:02:12<21:11:32, 1.30s/step] Training: 16%|█▋ | 11413/70000 [4:02:13<20:37:55, 1.27s/step] Training: 16%|█▋ | 11414/70000 [4:02:14<20:54:19, 1.28s/step] Training: 16%|█▋ | 11415/70000 [4:02:15<20:52:24, 1.28s/step] Training: 16%|█▋ | 11416/70000 [4:02:17<20:24:48, 1.25s/step] Training: 16%|█▋ | 11417/70000 [4:02:18<20:45:33, 1.28s/step] Training: 16%|█▋ | 11418/70000 [4:02:19<20:20:28, 1.25s/step] Training: 16%|█▋ | 11419/70000 [4:02:21<20:42:36, 1.27s/step] Training: 16%|█▋ | 11420/70000 [4:02:22<21:10:11, 1.30s/step] Training: 16%|█▋ | 11421/70000 [4:02:23<20:36:45, 1.27s/step] Training: 16%|█▋ | 11422/70000 [4:02:24<20:55:02, 1.29s/step] Training: 16%|█▋ | 11423/70000 [4:02:26<21:13:34, 1.30s/step] Training: 16%|█▋ | 11424/70000 [4:02:27<20:36:41, 1.27s/step] Training: 16%|█▋ | 11425/70000 [4:02:28<20:19:50, 1.25s/step] Training: 16%|█▋ | 11426/70000 [4:02:29<20:01:16, 1.23s/step] Training: 16%|█▋ | 11427/70000 [4:02:31<20:29:54, 1.26s/step] Training: 16%|█▋ | 11428/70000 [4:02:32<20:57:30, 1.29s/step] Training: 16%|█▋ | 11429/70000 [4:02:33<20:28:32, 1.26s/step] Training: 16%|█▋ | 11430/70000 [4:02:34<20:14:27, 1.24s/step] Training: 16%|█▋ | 11431/70000 [4:02:36<20:49:30, 1.28s/step] Training: 16%|█▋ | 11432/70000 [4:02:37<20:20:28, 1.25s/step] Training: 16%|█▋ | 11433/70000 [4:02:38<20:42:10, 1.27s/step] Training: 16%|█▋ | 11434/70000 [4:02:39<20:18:30, 1.25s/step] Training: 16%|█▋ | 11435/70000 [4:02:41<20:43:47, 1.27s/step] Training: 16%|█▋ | 11436/70000 [4:02:42<21:03:02, 1.29s/step] Training: 16%|█▋ | 11437/70000 [4:02:43<20:32:19, 1.26s/step] Training: 16%|█▋ | 11438/70000 [4:02:45<20:50:36, 1.28s/step] Training: 16%|█▋ | 11439/70000 [4:02:46<20:23:03, 1.25s/step] Training: 16%|█▋ | 11440/70000 [4:02:47<20:50:58, 1.28s/step] Training: 16%|█▋ | 11441/70000 [4:02:48<20:29:19, 1.26s/step] Training: 16%|█▋ | 11442/70000 [4:02:50<20:10:37, 1.24s/step] Training: 16%|█▋ | 11443/70000 [4:02:51<20:35:26, 1.27s/step] Training: 16%|█▋ | 11444/70000 [4:02:52<20:56:29, 1.29s/step] Training: 16%|█▋ | 11445/70000 [4:02:53<20:27:27, 1.26s/step] Training: 16%|█▋ | 11446/70000 [4:02:55<20:49:20, 1.28s/step] Training: 16%|█▋ | 11447/70000 [4:02:56<20:23:01, 1.25s/step] Training: 16%|█▋ | 11448/70000 [4:02:57<20:53:02, 1.28s/step] Training: 16%|█▋ | 11449/70000 [4:02:59<21:04:13, 1.30s/step] Training: 16%|█▋ | 11450/70000 [4:03:00<20:33:53, 1.26s/step] Training: 16%|█▋ | 11451/70000 [4:03:01<20:54:55, 1.29s/step] Training: 16%|█▋ | 11452/70000 [4:03:03<21:22:32, 1.31s/step] Training: 16%|█▋ | 11453/70000 [4:03:04<20:45:22, 1.28s/step] Training: 16%|█▋ | 11454/70000 [4:03:05<21:03:42, 1.30s/step] Training: 16%|█▋ | 11455/70000 [4:03:06<20:32:07, 1.26s/step] Training: 16%|█▋ | 11456/70000 [4:03:08<20:22:14, 1.25s/step] Training: 16%|█▋ | 11457/70000 [4:03:09<20:46:19, 1.28s/step] Training: 16%|█▋ | 11458/70000 [4:03:10<20:20:40, 1.25s/step] Training: 16%|█▋ | 11459/70000 [4:03:11<20:42:11, 1.27s/step] Training: 16%|█▋ | 11460/70000 [4:03:13<20:25:08, 1.26s/step] Training: 16%|█▋ | 11461/70000 [4:03:14<20:07:33, 1.24s/step] Training: 16%|█▋ | 11462/70000 [4:03:15<19:57:58, 1.23s/step] Training: 16%|█▋ | 11463/70000 [4:03:16<19:48:27, 1.22s/step] Training: 16%|█▋ | 11464/70000 [4:03:17<20:01:27, 1.23s/step] Training: 16%|█▋ | 11465/70000 [4:03:19<20:28:36, 1.26s/step] Training: 16%|█▋ | 11466/70000 [4:03:20<20:08:56, 1.24s/step] Training: 16%|█▋ | 11467/70000 [4:03:21<20:36:40, 1.27s/step] Training: 16%|█▋ | 11468/70000 [4:03:23<20:54:43, 1.29s/step] Training: 16%|█▋ | 11469/70000 [4:03:24<20:26:26, 1.26s/step] Training: 16%|█▋ | 11470/70000 [4:03:25<20:46:39, 1.28s/step] Training: 16%|█▋ | 11471/70000 [4:03:26<20:20:54, 1.25s/step] Training: 16%|█▋ | 11472/70000 [4:03:28<20:03:44, 1.23s/step] Training: 16%|█▋ | 11473/70000 [4:03:29<20:33:02, 1.26s/step] Training: 16%|█▋ | 11474/70000 [4:03:30<20:07:51, 1.24s/step] Training: 16%|█▋ | 11475/70000 [4:03:31<20:37:01, 1.27s/step] Training: 16%|█▋ | 11476/70000 [4:03:33<20:55:34, 1.29s/step] Training: 16%|█▋ | 11477/70000 [4:03:34<20:28:26, 1.26s/step] Training: 16%|█▋ | 11478/70000 [4:03:35<20:47:11, 1.28s/step] Training: 16%|█▋ | 11479/70000 [4:03:36<20:21:30, 1.25s/step] Training: 16%|█▋ | 11480/70000 [4:03:38<20:03:59, 1.23s/step] Training: 16%|█▋ | 11481/70000 [4:03:39<20:55:48, 1.29s/step] Training: 16%|█▋ | 11482/70000 [4:03:40<20:28:40, 1.26s/step] Training: 16%|█▋ | 11483/70000 [4:03:42<20:52:20, 1.28s/step] Training: 16%|█▋ | 11484/70000 [4:03:43<21:15:51, 1.31s/step] Training: 16%|█▋ | 11485/70000 [4:03:44<20:40:39, 1.27s/step] Training: 16%|█▋ | 11486/70000 [4:03:45<20:54:03, 1.29s/step] Training: 16%|█▋ | 11487/70000 [4:03:47<20:25:23, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=32504 Training: 16%|█▋ | 11488/70000 [4:03:48<20:04:35, 1.24s/step] Training: 16%|█▋ | 11489/70000 [4:03:49<20:31:21, 1.26s/step] Training: 16%|█▋ | 11490/70000 [4:03:50<20:55:09, 1.29s/step] Training: 16%|█▋ | 11491/70000 [4:03:52<21:03:16, 1.30s/step] Training: 16%|█▋ | 11492/70000 [4:03:53<20:39:25, 1.27s/step] Training: 16%|█▋ | 11493/70000 [4:03:54<20:15:35, 1.25s/step] Training: 16%|█▋ | 11494/70000 [4:03:55<20:03:38, 1.23s/step] Training: 16%|█▋ | 11495/70000 [4:03:57<19:50:34, 1.22s/step] Training: 16%|█▋ | 11496/70000 [4:03:58<19:41:43, 1.21s/step] Training: 16%|█▋ | 11497/70000 [4:03:59<20:24:55, 1.26s/step] Training: 16%|█▋ | 11498/70000 [4:04:00<20:03:20, 1.23s/step] Training: 16%|█▋ | 11499/70000 [4:04:02<20:31:17, 1.26s/step] Training: 16%|█▋ | 11500/70000 [4:04:03<20:54:47, 1.29s/step]INFO 2026-03-13 00:13:55 ot_train.py:435 step:12K smpl:736K ep:3K epch:9.75 loss:0.159 grdn:12.669 lr:2.3e-05 updt_s:1.245 data_s:0.019 Training: 16%|█▋ | 11501/70000 [4:04:04<20:26:18, 1.26s/step] Training: 16%|█▋ | 11502/70000 [4:04:05<20:45:23, 1.28s/step] Training: 16%|█▋ | 11503/70000 [4:04:07<20:19:31, 1.25s/step] Training: 16%|█▋ | 11504/70000 [4:04:08<20:01:20, 1.23s/step] Training: 16%|█▋ | 11505/70000 [4:04:09<19:54:27, 1.23s/step] Training: 16%|█▋ | 11506/70000 [4:04:10<20:28:47, 1.26s/step] Training: 16%|█▋ | 11507/70000 [4:04:12<20:44:12, 1.28s/step] Training: 16%|█▋ | 11508/70000 [4:04:13<21:01:25, 1.29s/step] Training: 16%|█▋ | 11509/70000 [4:04:14<20:31:14, 1.26s/step] Training: 16%|█▋ | 11510/70000 [4:04:16<20:47:41, 1.28s/step] Training: 16%|█▋ | 11511/70000 [4:04:17<20:21:01, 1.25s/step] Training: 16%|█▋ | 11512/70000 [4:04:18<20:02:03, 1.23s/step] Training: 16%|█▋ | 11513/70000 [4:04:19<20:32:54, 1.26s/step] Training: 16%|█▋ | 11514/70000 [4:04:21<20:56:55, 1.29s/step] Training: 16%|█▋ | 11515/70000 [4:04:22<21:04:16, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=32504 Training: 16%|█▋ | 11516/70000 [4:04:23<21:30:06, 1.32s/step] Training: 16%|█▋ | 11517/70000 [4:04:25<20:50:51, 1.28s/step] Training: 16%|█▋ | 11518/70000 [4:04:26<21:01:52, 1.29s/step] Training: 16%|█▋ | 11519/70000 [4:04:27<20:30:03, 1.26s/step] Training: 16%|█▋ | 11520/70000 [4:04:28<20:08:13, 1.24s/step] Training: 16%|█▋ | 11521/70000 [4:04:30<20:36:15, 1.27s/step] Training: 16%|█▋ | 11522/70000 [4:04:31<20:15:28, 1.25s/step] Training: 16%|█▋ | 11523/70000 [4:04:32<20:41:31, 1.27s/step] Training: 16%|█▋ | 11524/70000 [4:04:33<20:30:54, 1.26s/step] Training: 16%|█▋ | 11525/70000 [4:04:35<20:09:45, 1.24s/step] Training: 16%|█▋ | 11526/70000 [4:04:36<19:58:54, 1.23s/step] Training: 16%|█▋ | 11527/70000 [4:04:37<19:46:13, 1.22s/step] Training: 16%|█▋ | 11528/70000 [4:04:38<19:37:23, 1.21s/step] Training: 16%|█▋ | 11529/70000 [4:04:39<20:14:46, 1.25s/step] Training: 16%|█▋ | 11530/70000 [4:04:41<20:13:38, 1.25s/step] Training: 16%|█▋ | 11531/70000 [4:04:42<20:38:53, 1.27s/step] Training: 16%|█▋ | 11532/70000 [4:04:43<20:55:36, 1.29s/step] Training: 16%|█▋ | 11533/70000 [4:04:45<20:27:25, 1.26s/step] Training: 16%|█▋ | 11534/70000 [4:04:46<20:47:15, 1.28s/step] Training: 16%|█▋ | 11535/70000 [4:04:47<20:21:32, 1.25s/step] Training: 16%|█▋ | 11536/70000 [4:04:48<20:01:33, 1.23s/step] Training: 16%|█▋ | 11537/70000 [4:04:49<19:53:07, 1.22s/step] Training: 16%|█▋ | 11538/70000 [4:04:51<19:45:11, 1.22s/step] Training: 16%|█▋ | 11539/70000 [4:04:52<20:52:16, 1.29s/step] Training: 16%|█▋ | 11540/70000 [4:04:53<21:09:42, 1.30s/step] Training: 16%|█▋ | 11541/70000 [4:04:55<20:36:25, 1.27s/step] Training: 16%|█▋ | 11542/70000 [4:04:56<20:53:59, 1.29s/step] Training: 16%|█▋ | 11543/70000 [4:04:57<20:24:31, 1.26s/step] Training: 16%|█▋ | 11544/70000 [4:04:58<20:05:08, 1.24s/step] Training: 16%|█▋ | 11545/70000 [4:05:00<20:31:37, 1.26s/step] Training: 16%|█▋ | 11546/70000 [4:05:01<20:59:31, 1.29s/step] Training: 16%|█▋ | 11547/70000 [4:05:02<21:04:44, 1.30s/step] Training: 16%|█▋ | 11548/70000 [4:05:04<21:25:49, 1.32s/step] Training: 16%|█▋ | 11549/70000 [4:05:05<20:47:17, 1.28s/step] Training: 16%|█▋ | 11550/70000 [4:05:06<20:59:06, 1.29s/step] Training: 17%|█▋ | 11551/70000 [4:05:07<20:28:57, 1.26s/step] Training: 17%|█▋ | 11552/70000 [4:05:09<20:07:37, 1.24s/step] Training: 17%|█▋ | 11553/70000 [4:05:10<20:33:51, 1.27s/step] Training: 17%|█▋ | 11554/70000 [4:05:11<20:11:59, 1.24s/step] Training: 17%|█▋ | 11555/70000 [4:05:13<21:07:24, 1.30s/step] Training: 17%|█▋ | 11556/70000 [4:05:14<20:55:39, 1.29s/step] Training: 17%|█▋ | 11557/70000 [4:05:15<20:28:59, 1.26s/step] Training: 17%|█▋ | 11558/70000 [4:05:16<20:12:27, 1.24s/step] Training: 17%|█▋ | 11559/70000 [4:05:17<19:59:09, 1.23s/step] Training: 17%|█▋ | 11560/70000 [4:05:19<19:45:06, 1.22s/step] Training: 17%|█▋ | 11561/70000 [4:05:20<20:20:37, 1.25s/step] Training: 17%|█▋ | 11562/70000 [4:05:21<20:02:53, 1.24s/step] Training: 17%|█▋ | 11563/70000 [4:05:23<21:06:09, 1.30s/step] Training: 17%|█▋ | 11564/70000 [4:05:24<21:13:36, 1.31s/step] Training: 17%|█▋ | 11565/70000 [4:05:25<20:45:13, 1.28s/step] Training: 17%|█▋ | 11566/70000 [4:05:26<20:59:39, 1.29s/step] Training: 17%|█▋ | 11567/70000 [4:05:28<20:31:07, 1.26s/step] Training: 17%|█▋ | 11568/70000 [4:05:29<20:08:36, 1.24s/step] Training: 17%|█▋ | 11569/70000 [4:05:30<19:59:47, 1.23s/step] Training: 17%|█▋ | 11570/70000 [4:05:31<19:47:34, 1.22s/step] Training: 17%|█▋ | 11571/70000 [4:05:33<20:21:36, 1.25s/step] Training: 17%|█▋ | 11572/70000 [4:05:34<20:42:56, 1.28s/step] Training: 17%|█▋ | 11573/70000 [4:05:35<20:17:51, 1.25s/step] Training: 17%|█▋ | 11574/70000 [4:05:36<20:41:06, 1.27s/step] Training: 17%|█▋ | 11575/70000 [4:05:38<20:18:34, 1.25s/step] Training: 17%|█▋ | 11576/70000 [4:05:39<20:00:06, 1.23s/step] Training: 17%|█▋ | 11577/70000 [4:05:40<20:26:58, 1.26s/step] Training: 17%|█▋ | 11578/70000 [4:05:41<20:08:17, 1.24s/step] Training: 17%|█▋ | 11579/70000 [4:05:43<21:08:18, 1.30s/step] Training: 17%|█▋ | 11580/70000 [4:05:44<21:25:49, 1.32s/step] Training: 17%|█▋ | 11581/70000 [4:05:45<20:47:34, 1.28s/step] Training: 17%|█▋ | 11582/70000 [4:05:47<20:58:41, 1.29s/step] Training: 17%|█▋ | 11583/70000 [4:05:48<20:28:28, 1.26s/step] Training: 17%|█▋ | 11584/70000 [4:05:49<20:07:28, 1.24s/step] Training: 17%|█▋ | 11585/70000 [4:05:50<20:31:36, 1.27s/step] Training: 17%|█▋ | 11586/70000 [4:05:52<20:09:50, 1.24s/step] Training: 17%|█▋ | 11587/70000 [4:05:53<20:43:27, 1.28s/step] Training: 17%|█▋ | 11588/70000 [4:05:54<20:45:14, 1.28s/step] Training: 17%|█▋ | 11589/70000 [4:05:55<21:00:29, 1.29s/step] Training: 17%|█▋ | 11590/70000 [4:05:57<20:33:59, 1.27s/step] Training: 17%|█▋ | 11591/70000 [4:05:58<20:11:05, 1.24s/step] Training: 17%|█▋ | 11592/70000 [4:05:59<19:54:33, 1.23s/step] Training: 17%|█▋ | 11593/70000 [4:06:00<20:24:01, 1.26s/step] Training: 17%|█▋ | 11594/70000 [4:06:02<20:05:18, 1.24s/step] Training: 17%|█▋ | 11595/70000 [4:06:03<20:31:38, 1.27s/step] Training: 17%|█▋ | 11596/70000 [4:06:04<20:51:20, 1.29s/step] Training: 17%|█▋ | 11597/70000 [4:06:05<20:25:21, 1.26s/step] Training: 17%|█▋ | 11598/70000 [4:06:07<20:49:44, 1.28s/step] Training: 17%|█▋ | 11599/70000 [4:06:08<20:22:46, 1.26s/step] Training: 17%|█▋ | 11600/70000 [4:06:09<20:03:26, 1.24s/step]INFO 2026-03-13 00:16:01 ot_train.py:435 step:12K smpl:742K ep:3K epch:9.83 loss:0.153 grdn:12.944 lr:2.3e-05 updt_s:1.241 data_s:0.019 Training: 17%|█▋ | 11601/70000 [4:06:10<20:07:03, 1.24s/step] Training: 17%|█▋ | 11602/70000 [4:06:12<19:55:26, 1.23s/step] Training: 17%|█▋ | 11603/70000 [4:06:13<20:33:43, 1.27s/step] Training: 17%|█▋ | 11604/70000 [4:06:14<20:47:52, 1.28s/step] Training: 17%|█▋ | 11605/70000 [4:06:15<20:20:22, 1.25s/step] Training: 17%|█▋ | 11606/70000 [4:06:17<20:44:51, 1.28s/step] Training: 17%|█▋ | 11607/70000 [4:06:18<20:17:34, 1.25s/step] Training: 17%|█▋ | 11608/70000 [4:06:19<19:58:46, 1.23s/step] Training: 17%|█▋ | 11609/70000 [4:06:21<20:33:40, 1.27s/step] Training: 17%|█▋ | 11610/70000 [4:06:22<20:13:07, 1.25s/step] Training: 17%|█▋ | 11611/70000 [4:06:23<20:36:50, 1.27s/step] Training: 17%|█▋ | 11612/70000 [4:06:24<20:58:48, 1.29s/step] Training: 17%|█▋ | 11613/70000 [4:06:26<20:25:28, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=45322 Training: 17%|█▋ | 11614/70000 [4:06:27<20:19:29, 1.25s/step] Training: 17%|█▋ | 11615/70000 [4:06:28<20:01:17, 1.23s/step] Training: 17%|█▋ | 11616/70000 [4:06:29<19:48:11, 1.22s/step] Training: 17%|█▋ | 11617/70000 [4:06:31<20:21:00, 1.25s/step] Training: 17%|█▋ | 11618/70000 [4:06:32<20:04:08, 1.24s/step] Training: 17%|█▋ | 11619/70000 [4:06:33<20:32:57, 1.27s/step] Training: 17%|█▋ | 11620/70000 [4:06:34<20:53:20, 1.29s/step] Training: 17%|█▋ | 11621/70000 [4:06:36<20:22:42, 1.26s/step] Training: 17%|█▋ | 11622/70000 [4:06:37<20:12:05, 1.25s/step] Training: 17%|█▋ | 11623/70000 [4:06:38<19:56:24, 1.23s/step] Training: 17%|█▋ | 11624/70000 [4:06:39<19:45:00, 1.22s/step] Training: 17%|█▋ | 11625/70000 [4:06:41<20:18:11, 1.25s/step] Training: 17%|█▋ | 11626/70000 [4:06:42<20:01:34, 1.24s/step] Training: 17%|█▋ | 11627/70000 [4:06:43<20:31:10, 1.27s/step] Training: 17%|█▋ | 11628/70000 [4:06:44<20:48:27, 1.28s/step] Training: 17%|█▋ | 11629/70000 [4:06:46<20:23:05, 1.26s/step] Training: 17%|█▋ | 11630/70000 [4:06:47<20:49:35, 1.28s/step] Training: 17%|█▋ | 11631/70000 [4:06:48<20:21:50, 1.26s/step] Training: 17%|█▋ | 11632/70000 [4:06:49<20:04:24, 1.24s/step] Training: 17%|█▋ | 11633/70000 [4:06:51<19:59:18, 1.23s/step] Training: 17%|█▋ | 11634/70000 [4:06:52<19:48:09, 1.22s/step] Training: 17%|█▋ | 11635/70000 [4:06:53<20:22:23, 1.26s/step] Training: 17%|█▋ | 11636/70000 [4:06:55<21:18:57, 1.31s/step] Training: 17%|█▋ | 11637/70000 [4:06:56<20:43:05, 1.28s/step] Training: 17%|█▋ | 11638/70000 [4:06:57<20:58:52, 1.29s/step] Training: 17%|█▋ | 11639/70000 [4:06:58<20:27:52, 1.26s/step] Training: 17%|█▋ | 11640/70000 [4:06:59<20:06:33, 1.24s/step] Training: 17%|█▋ | 11641/70000 [4:07:01<20:33:16, 1.27s/step] Training: 17%|█▋ | 11642/70000 [4:07:02<20:10:26, 1.24s/step] Training: 17%|█▋ | 11643/70000 [4:07:03<20:33:34, 1.27s/step] Training: 17%|█▋ | 11644/70000 [4:07:05<21:16:54, 1.31s/step] Training: 17%|█▋ | 11645/70000 [4:07:06<20:38:09, 1.27s/step] Training: 17%|█▋ | 11646/70000 [4:07:07<20:25:36, 1.26s/step] Training: 17%|█▋ | 11647/70000 [4:07:08<20:03:58, 1.24s/step] Training: 17%|█▋ | 11648/70000 [4:07:09<19:50:02, 1.22s/step] Training: 17%|█▋ | 11649/70000 [4:07:11<20:21:23, 1.26s/step] Training: 17%|█▋ | 11650/70000 [4:07:12<20:02:20, 1.24s/step] Training: 17%|█▋ | 11651/70000 [4:07:13<20:34:33, 1.27s/step] Training: 17%|█▋ | 11652/70000 [4:07:15<20:26:13, 1.26s/step] Training: 17%|█▋ | 11653/70000 [4:07:16<20:05:59, 1.24s/step] Training: 17%|█▋ | 11654/70000 [4:07:17<19:59:55, 1.23s/step] Training: 17%|█▋ | 11655/70000 [4:07:18<19:46:25, 1.22s/step] Training: 17%|█▋ | 11656/70000 [4:07:19<19:37:23, 1.21s/step] Training: 17%|█▋ | 11657/70000 [4:07:21<20:13:12, 1.25s/step] Training: 17%|█▋ | 11658/70000 [4:07:22<19:56:45, 1.23s/step] Training: 17%|█▋ | 11659/70000 [4:07:23<20:27:17, 1.26s/step] Training: 17%|█▋ | 11660/70000 [4:07:25<20:46:16, 1.28s/step] Training: 17%|█▋ | 11661/70000 [4:07:26<21:05:15, 1.30s/step] Training: 17%|█▋ | 11662/70000 [4:07:27<21:14:09, 1.31s/step] Training: 17%|█▋ | 11663/70000 [4:07:28<20:38:43, 1.27s/step] Training: 17%|█▋ | 11664/70000 [4:07:30<20:13:51, 1.25s/step] Training: 17%|█▋ | 11665/70000 [4:07:31<20:01:45, 1.24s/step] Training: 17%|█▋ | 11666/70000 [4:07:32<19:49:10, 1.22s/step] Training: 17%|█▋ | 11667/70000 [4:07:33<20:23:08, 1.26s/step] Training: 17%|█▋ | 11668/70000 [4:07:35<20:45:50, 1.28s/step] Training: 17%|█▋ | 11669/70000 [4:07:36<20:56:38, 1.29s/step] Training: 17%|█▋ | 11670/70000 [4:07:37<21:03:02, 1.30s/step] Training: 17%|█▋ | 11671/70000 [4:07:39<20:31:30, 1.27s/step] Training: 17%|█▋ | 11672/70000 [4:07:40<20:09:10, 1.24s/step] Training: 17%|█▋ | 11673/70000 [4:07:41<20:33:19, 1.27s/step] Training: 17%|█▋ | 11674/70000 [4:07:42<20:11:03, 1.25s/step] Training: 17%|█▋ | 11675/70000 [4:07:44<20:36:57, 1.27s/step] Training: 17%|█▋ | 11676/70000 [4:07:45<21:07:59, 1.30s/step] Training: 17%|█▋ | 11677/70000 [4:07:46<21:28:21, 1.33s/step] Training: 17%|█▋ | 11678/70000 [4:07:48<20:57:44, 1.29s/step] Training: 17%|█▋ | 11679/70000 [4:07:49<20:28:05, 1.26s/step] Training: 17%|█▋ | 11680/70000 [4:07:50<20:05:10, 1.24s/step] Training: 17%|█▋ | 11681/70000 [4:07:51<20:31:57, 1.27s/step] Training: 17%|█▋ | 11682/70000 [4:07:52<20:09:23, 1.24s/step] Training: 17%|█▋ | 11683/70000 [4:07:54<20:35:32, 1.27s/step] Training: 17%|█▋ | 11684/70000 [4:07:55<20:21:53, 1.26s/step] Training: 17%|█▋ | 11685/70000 [4:07:56<20:04:09, 1.24s/step] Training: 17%|█▋ | 11686/70000 [4:07:58<20:36:28, 1.27s/step] Training: 17%|█▋ | 11687/70000 [4:07:59<20:09:24, 1.24s/step] Training: 17%|█▋ | 11688/70000 [4:08:00<19:53:37, 1.23s/step] Training: 17%|█▋ | 11689/70000 [4:08:01<20:23:31, 1.26s/step] Training: 17%|█▋ | 11690/70000 [4:08:02<20:04:52, 1.24s/step] Training: 17%|█▋ | 11691/70000 [4:08:04<20:30:19, 1.27s/step] Training: 17%|█▋ | 11692/70000 [4:08:05<20:50:08, 1.29s/step] Training: 17%|█▋ | 11693/70000 [4:08:06<20:23:24, 1.26s/step] Training: 17%|█▋ | 11694/70000 [4:08:08<21:09:15, 1.31s/step] Training: 17%|█▋ | 11695/70000 [4:08:09<20:35:45, 1.27s/step] Training: 17%|█▋ | 11696/70000 [4:08:10<20:12:04, 1.25s/step] Training: 17%|█▋ | 11697/70000 [4:08:11<20:00:01, 1.23s/step] Training: 17%|█▋ | 11698/70000 [4:08:12<19:47:02, 1.22s/step] Training: 17%|█▋ | 11699/70000 [4:08:14<20:21:14, 1.26s/step] Training: 17%|█▋ | 11700/70000 [4:08:15<20:42:20, 1.28s/step]INFO 2026-03-13 00:18:07 ot_train.py:435 step:12K smpl:749K ep:3K epch:9.92 loss:0.156 grdn:13.210 lr:2.3e-05 updt_s:1.239 data_s:0.019 Training: 17%|█▋ | 11701/70000 [4:08:16<20:16:48, 1.25s/step] Training: 17%|█▋ | 11702/70000 [4:08:18<20:36:55, 1.27s/step] Training: 17%|█▋ | 11703/70000 [4:08:19<20:12:58, 1.25s/step] Training: 17%|█▋ | 11704/70000 [4:08:20<19:55:42, 1.23s/step] Training: 17%|█▋ | 11705/70000 [4:08:21<20:24:08, 1.26s/step] Training: 17%|█▋ | 11706/70000 [4:08:23<20:03:37, 1.24s/step] Training: 17%|█▋ | 11707/70000 [4:08:24<20:28:33, 1.26s/step] Training: 17%|█▋ | 11708/70000 [4:08:25<20:19:39, 1.26s/step] Training: 17%|█▋ | 11709/70000 [4:08:26<20:00:21, 1.24s/step] Training: 17%|█▋ | 11710/70000 [4:08:28<19:58:06, 1.23s/step] Training: 17%|█▋ | 11711/70000 [4:08:29<19:45:47, 1.22s/step] Training: 17%|█▋ | 11712/70000 [4:08:30<19:37:43, 1.21s/step] Training: 17%|█▋ | 11713/70000 [4:08:31<20:10:47, 1.25s/step] Training: 17%|█▋ | 11714/70000 [4:08:32<19:54:49, 1.23s/step] Training: 17%|█▋ | 11715/70000 [4:08:34<20:21:21, 1.26s/step] Training: 17%|█▋ | 11716/70000 [4:08:35<20:10:20, 1.25s/step] Training: 17%|█▋ | 11717/70000 [4:08:36<19:54:43, 1.23s/step] Training: 17%|█▋ | 11718/70000 [4:08:37<20:04:00, 1.24s/step] Training: 17%|█▋ | 11719/70000 [4:08:39<19:46:55, 1.22s/step] Training: 17%|█▋ | 11720/70000 [4:08:40<19:36:22, 1.21s/step] Training: 17%|█▋ | 11721/70000 [4:08:41<20:09:31, 1.25s/step] Training: 17%|█▋ | 11722/70000 [4:08:42<19:53:18, 1.23s/step] Training: 17%|█▋ | 11723/70000 [4:08:44<20:23:16, 1.26s/step] Training: 17%|█▋ | 11724/70000 [4:08:45<20:42:28, 1.28s/step] Training: 17%|█▋ | 11725/70000 [4:08:46<20:57:30, 1.29s/step] Training: 17%|█▋ | 11726/70000 [4:08:48<21:05:44, 1.30s/step] Training: 17%|█▋ | 11727/70000 [4:08:49<21:16:45, 1.31s/step] Training: 17%|█▋ | 11728/70000 [4:08:50<20:36:52, 1.27s/step] Training: 17%|█▋ | 11729/70000 [4:08:51<20:17:46, 1.25s/step] Training: 17%|█▋ | 11730/70000 [4:08:53<19:58:29, 1.23s/step] Training: 17%|█▋ | 11731/70000 [4:08:54<20:29:56, 1.27s/step] Training: 17%|█▋ | 11732/70000 [4:08:55<20:48:34, 1.29s/step] Training: 17%|█▋ | 11733/70000 [4:08:56<20:36:54, 1.27s/step] Training: 17%|█▋ | 11734/70000 [4:08:58<20:11:45, 1.25s/step] Training: 17%|█▋ | 11735/70000 [4:08:59<20:32:44, 1.27s/step] Training: 17%|█▋ | 11736/70000 [4:09:00<20:06:58, 1.24s/step] Training: 17%|█▋ | 11737/70000 [4:09:01<20:32:51, 1.27s/step] Training: 17%|█▋ | 11738/70000 [4:09:03<20:11:22, 1.25s/step] Training: 17%|█▋ | 11739/70000 [4:09:04<20:34:44, 1.27s/step] Training: 17%|█▋ | 11740/70000 [4:09:05<20:23:45, 1.26s/step] Training: 17%|█▋ | 11741/70000 [4:09:06<20:08:25, 1.24s/step] Training: 17%|█▋ | 11742/70000 [4:09:08<19:53:41, 1.23s/step] Training: 17%|█▋ | 11743/70000 [4:09:09<20:13:55, 1.25s/step] Training: 17%|█▋ | 11744/70000 [4:09:10<20:52:10, 1.29s/step] Training: 17%|█▋ | 11745/70000 [4:09:12<21:01:57, 1.30s/step] Training: 17%|█▋ | 11746/70000 [4:09:13<20:29:01, 1.27s/step] Training: 17%|█▋ | 11747/70000 [4:09:14<20:47:41, 1.29s/step] Training: 17%|█▋ | 11748/70000 [4:09:15<20:29:25, 1.27s/step] Training: 17%|█▋ | 11749/70000 [4:09:17<20:48:02, 1.29s/step] Training: 17%|█▋ | 11750/70000 [4:09:18<20:19:47, 1.26s/step] Training: 17%|█▋ | 11751/70000 [4:09:19<20:51:32, 1.29s/step] Training: 17%|█▋ | 11752/70000 [4:09:20<20:19:18, 1.26s/step] Training: 17%|█▋ | 11753/70000 [4:09:22<20:17:51, 1.25s/step] Training: 17%|█▋ | 11754/70000 [4:09:23<19:59:48, 1.24s/step] Training: 17%|█▋ | 11755/70000 [4:09:24<20:28:33, 1.27s/step] Training: 17%|█▋ | 11756/70000 [4:09:26<20:49:06, 1.29s/step] Training: 17%|█▋ | 11757/70000 [4:09:27<20:59:00, 1.30s/step] Training: 17%|█▋ | 11758/70000 [4:09:28<20:28:21, 1.27s/step] Training: 17%|█▋ | 11759/70000 [4:09:29<20:37:33, 1.27s/step] Training: 17%|█▋ | 11760/70000 [4:09:31<20:58:15, 1.30s/step] Training: 17%|█▋ | 11761/70000 [4:09:32<20:28:45, 1.27s/step] Training: 17%|█▋ | 11762/70000 [4:09:33<20:07:05, 1.24s/step] Training: 17%|█▋ | 11763/70000 [4:09:34<20:31:02, 1.27s/step] Training: 17%|█▋ | 11764/70000 [4:09:36<20:52:52, 1.29s/step] Training: 17%|█▋ | 11765/70000 [4:09:37<21:02:53, 1.30s/step] Training: 17%|█▋ | 11766/70000 [4:09:38<20:29:32, 1.27s/step] Training: 17%|█▋ | 11767/70000 [4:09:40<20:48:27, 1.29s/step] Training: 17%|█▋ | 11768/70000 [4:09:41<21:10:21, 1.31s/step] Training: 17%|█▋ | 11769/70000 [4:09:42<21:12:23, 1.31s/step] Training: 17%|█▋ | 11770/70000 [4:09:43<20:36:52, 1.27s/step] Training: 17%|█▋ | 11771/70000 [4:09:45<20:51:49, 1.29s/step] Training: 17%|█▋ | 11772/70000 [4:09:46<20:36:55, 1.27s/step] Training: 17%|█▋ | 11773/70000 [4:09:47<20:17:06, 1.25s/step] Training: 17%|█▋ | 11774/70000 [4:09:48<19:58:29, 1.24s/step] Training: 17%|█▋ | 11775/70000 [4:09:50<19:51:09, 1.23s/step] Training: 17%|█▋ | 11776/70000 [4:09:51<19:41:30, 1.22s/step] Training: 17%|█▋ | 11777/70000 [4:09:52<20:23:26, 1.26s/step] Training: 17%|█▋ | 11778/70000 [4:09:53<20:05:07, 1.24s/step] Training: 17%|█▋ | 11779/70000 [4:09:55<20:31:43, 1.27s/step] Training: 17%|█▋ | 11780/70000 [4:09:56<20:13:47, 1.25s/step] Training: 17%|█▋ | 11781/70000 [4:09:57<20:33:17, 1.27s/step] Training: 17%|█▋ | 11782/70000 [4:09:58<20:11:38, 1.25s/step] Training: 17%|█▋ | 11783/70000 [4:10:00<20:32:17, 1.27s/step] Training: 17%|█▋ | 11784/70000 [4:10:01<20:16:49, 1.25s/step] Training: 17%|█▋ | 11785/70000 [4:10:02<20:10:20, 1.25s/step] Training: 17%|█▋ | 11786/70000 [4:10:03<19:53:20, 1.23s/step] Training: 17%|█▋ | 11787/70000 [4:10:05<20:23:33, 1.26s/step] Training: 17%|█▋ | 11788/70000 [4:10:06<20:46:14, 1.28s/step] Training: 17%|█▋ | 11789/70000 [4:10:07<21:02:04, 1.30s/step] Training: 17%|█▋ | 11790/70000 [4:10:09<20:30:28, 1.27s/step] Training: 17%|█▋ | 11791/70000 [4:10:10<20:47:34, 1.29s/step] Training: 17%|█▋ | 11792/70000 [4:10:11<20:38:32, 1.28s/step] Training: 17%|█▋ | 11793/70000 [4:10:12<20:17:47, 1.26s/step] Training: 17%|█▋ | 11794/70000 [4:10:14<19:58:39, 1.24s/step] Training: 17%|█▋ | 11795/70000 [4:10:15<20:27:11, 1.27s/step] Training: 17%|█▋ | 11796/70000 [4:10:16<20:45:40, 1.28s/step] Training: 17%|█▋ | 11797/70000 [4:10:18<20:30:36, 1.27s/step] Training: 17%|█▋ | 11798/70000 [4:10:19<20:06:25, 1.24s/step] Training: 17%|█▋ | 11799/70000 [4:10:20<20:30:37, 1.27s/step] Training: 17%|█▋ | 11800/70000 [4:10:22<25:56:33, 1.60s/step]INFO 2026-03-13 00:20:15 ot_train.py:435 step:12K smpl:755K ep:3K epch:10.00 loss:0.156 grdn:13.139 lr:2.3e-05 updt_s:1.240 data_s:0.031 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 17%|█▋ | 11801/70000 [4:10:27<38:58:33, 2.41s/step] Training: 17%|█▋ | 11802/70000 [4:10:28<33:03:30, 2.04s/step] Training: 17%|█▋ | 11803/70000 [4:10:29<29:57:14, 1.85s/step] Training: 17%|█▋ | 11804/70000 [4:10:31<27:47:13, 1.72s/step] Training: 17%|█▋ | 11805/70000 [4:10:32<25:33:01, 1.58s/step] Training: 17%|█▋ | 11806/70000 [4:10:33<23:39:55, 1.46s/step] Training: 17%|█▋ | 11807/70000 [4:10:34<22:39:27, 1.40s/step] Training: 17%|█▋ | 11808/70000 [4:10:36<21:37:19, 1.34s/step] Training: 17%|█▋ | 11809/70000 [4:10:37<22:11:21, 1.37s/step] Training: 17%|█▋ | 11810/70000 [4:10:38<21:19:02, 1.32s/step] Training: 17%|█▋ | 11811/70000 [4:10:40<21:25:21, 1.33s/step] Training: 17%|█▋ | 11812/70000 [4:10:41<20:56:26, 1.30s/step] Training: 17%|█▋ | 11813/70000 [4:10:42<21:08:58, 1.31s/step] Training: 17%|█▋ | 11814/70000 [4:10:43<20:34:37, 1.27s/step] Training: 17%|█▋ | 11815/70000 [4:10:45<20:50:10, 1.29s/step] Training: 17%|█▋ | 11816/70000 [4:10:46<20:22:54, 1.26s/step] Training: 17%|█▋ | 11817/70000 [4:10:47<20:19:06, 1.26s/step] Training: 17%|█▋ | 11818/70000 [4:10:48<20:44:19, 1.28s/step] Training: 17%|█▋ | 11819/70000 [4:10:50<20:54:42, 1.29s/step] Training: 17%|█▋ | 11820/70000 [4:10:51<21:05:48, 1.31s/step] Training: 17%|█▋ | 11821/70000 [4:10:52<21:13:50, 1.31s/step] Training: 17%|█▋ | 11822/70000 [4:10:54<20:37:59, 1.28s/step] Training: 17%|█▋ | 11823/70000 [4:10:55<20:52:47, 1.29s/step] Training: 17%|█▋ | 11824/70000 [4:10:56<20:24:42, 1.26s/step] Training: 17%|█▋ | 11825/70000 [4:10:58<20:54:52, 1.29s/step] Training: 17%|█▋ | 11826/70000 [4:10:59<20:22:19, 1.26s/step] Training: 17%|█▋ | 11827/70000 [4:11:00<20:42:48, 1.28s/step] Training: 17%|█▋ | 11828/70000 [4:11:01<20:57:20, 1.30s/step] Training: 17%|█▋ | 11829/70000 [4:11:03<20:45:00, 1.28s/step] Training: 17%|█▋ | 11830/70000 [4:11:04<20:17:45, 1.26s/step] Training: 17%|█▋ | 11831/70000 [4:11:05<20:39:17, 1.28s/step] Training: 17%|█▋ | 11832/70000 [4:11:06<20:14:01, 1.25s/step] Training: 17%|█▋ | 11833/70000 [4:11:08<20:39:12, 1.28s/step] Training: 17%|█▋ | 11834/70000 [4:11:09<20:59:46, 1.30s/step] Training: 17%|█▋ | 11835/70000 [4:11:10<21:06:06, 1.31s/step] Training: 17%|█▋ | 11836/70000 [4:11:12<21:16:07, 1.32s/step] Training: 17%|█▋ | 11837/70000 [4:11:13<20:45:29, 1.28s/step] Training: 17%|█▋ | 11838/70000 [4:11:14<20:18:02, 1.26s/step] Training: 17%|█▋ | 11839/70000 [4:11:15<20:02:24, 1.24s/step] Training: 17%|█▋ | 11840/70000 [4:11:16<19:46:57, 1.22s/step] Training: 17%|█▋ | 11841/70000 [4:11:18<20:17:09, 1.26s/step] Training: 17%|█▋ | 11842/70000 [4:11:19<20:44:33, 1.28s/step] Training: 17%|█▋ | 11843/70000 [4:11:20<20:56:02, 1.30s/step] Training: 17%|█▋ | 11844/70000 [4:11:22<20:38:53, 1.28s/step] Training: 17%|█▋ | 11845/70000 [4:11:23<20:57:18, 1.30s/step] Training: 17%|█▋ | 11846/70000 [4:11:24<20:27:19, 1.27s/step] Training: 17%|█▋ | 11847/70000 [4:11:26<20:46:13, 1.29s/step] Training: 17%|█▋ | 11848/70000 [4:11:27<20:17:20, 1.26s/step] Training: 17%|█▋ | 11849/70000 [4:11:28<20:18:47, 1.26s/step] Training: 17%|█▋ | 11850/70000 [4:11:29<19:59:23, 1.24s/step] Training: 17%|█▋ | 11851/70000 [4:11:31<20:28:21, 1.27s/step] Training: 17%|█▋ | 11852/70000 [4:11:32<20:48:56, 1.29s/step] Training: 17%|█▋ | 11853/70000 [4:11:33<21:01:42, 1.30s/step] Training: 17%|█▋ | 11854/70000 [4:11:34<20:28:24, 1.27s/step] Training: 17%|█▋ | 11855/70000 [4:11:36<20:43:10, 1.28s/step] Training: 17%|█▋ | 11856/70000 [4:11:37<20:17:11, 1.26s/step] Training: 17%|█▋ | 11857/70000 [4:11:38<20:03:14, 1.24s/step] Training: 17%|█▋ | 11858/70000 [4:11:39<20:03:51, 1.24s/step] Training: 17%|█▋ | 11859/70000 [4:11:41<20:30:47, 1.27s/step] Training: 17%|█▋ | 11860/70000 [4:11:42<20:50:14, 1.29s/step] Training: 17%|█▋ | 11861/70000 [4:11:43<20:32:51, 1.27s/step] Training: 17%|█▋ | 11862/70000 [4:11:44<20:08:26, 1.25s/step] Training: 17%|█▋ | 11863/70000 [4:11:46<20:29:19, 1.27s/step] Training: 17%|█▋ | 11864/70000 [4:11:47<20:06:27, 1.25s/step] Training: 17%|█▋ | 11865/70000 [4:11:48<20:30:11, 1.27s/step] Training: 17%|█▋ | 11866/70000 [4:11:49<20:08:02, 1.25s/step] Training: 17%|█▋ | 11867/70000 [4:11:51<21:03:18, 1.30s/step] Training: 17%|█▋ | 11868/70000 [4:11:52<21:11:59, 1.31s/step] Training: 17%|█▋ | 11869/70000 [4:11:53<20:38:41, 1.28s/step] Training: 17%|█▋ | 11870/70000 [4:11:55<20:12:33, 1.25s/step] Training: 17%|█▋ | 11871/70000 [4:11:56<20:00:03, 1.24s/step] Training: 17%|█▋ | 11872/70000 [4:11:57<19:45:25, 1.22s/step] Training: 17%|█▋ | 11873/70000 [4:11:58<20:18:29, 1.26s/step] Training: 17%|█▋ | 11874/70000 [4:12:00<19:59:28, 1.24s/step] Training: 17%|█▋ | 11875/70000 [4:12:01<20:31:55, 1.27s/step] Training: 17%|█▋ | 11876/70000 [4:12:02<20:36:22, 1.28s/step] Training: 17%|█▋ | 11877/70000 [4:12:04<20:51:53, 1.29s/step] Training: 17%|█▋ | 11878/70000 [4:12:05<20:23:44, 1.26s/step] Training: 17%|█▋ | 11879/70000 [4:12:06<20:44:35, 1.28s/step] Training: 17%|█▋ | 11880/70000 [4:12:07<20:16:51, 1.26s/step] Training: 17%|█▋ | 11881/70000 [4:12:09<20:13:21, 1.25s/step] Training: 17%|█▋ | 11882/70000 [4:12:10<19:55:00, 1.23s/step] Training: 17%|█▋ | 11883/70000 [4:12:11<20:50:27, 1.29s/step] Training: 17%|█▋ | 11884/70000 [4:12:12<21:05:33, 1.31s/step] Training: 17%|█▋ | 11885/70000 [4:12:14<21:12:50, 1.31s/step] Training: 17%|█▋ | 11886/70000 [4:12:15<20:36:43, 1.28s/step] Training: 17%|█▋ | 11887/70000 [4:12:16<20:53:31, 1.29s/step] Training: 17%|█▋ | 11888/70000 [4:12:18<20:23:01, 1.26s/step] Training: 17%|█▋ | 11889/70000 [4:12:19<20:09:22, 1.25s/step] Training: 17%|█▋ | 11890/70000 [4:12:20<19:52:31, 1.23s/step] Training: 17%|█▋ | 11891/70000 [4:12:21<20:33:59, 1.27s/step] Training: 17%|█▋ | 11892/70000 [4:12:23<21:25:45, 1.33s/step] Training: 17%|█▋ | 11893/70000 [4:12:24<20:57:29, 1.30s/step] Training: 17%|█▋ | 11894/70000 [4:12:25<20:25:23, 1.27s/step] Training: 17%|█▋ | 11895/70000 [4:12:26<20:42:57, 1.28s/step] Training: 17%|█▋ | 11896/70000 [4:12:28<20:14:48, 1.25s/step] Training: 17%|█▋ | 11897/70000 [4:12:29<20:37:17, 1.28s/step] Training: 17%|█▋ | 11898/70000 [4:12:30<20:12:08, 1.25s/step] Training: 17%|█▋ | 11899/70000 [4:12:32<20:45:44, 1.29s/step] Training: 17%|█▋ | 11900/70000 [4:12:33<20:15:00, 1.25s/step]INFO 2026-03-13 00:22:25 ot_train.py:435 step:12K smpl:762K ep:3K epch:10.09 loss:0.122 grdn:11.793 lr:2.3e-05 updt_s:1.254 data_s:0.047 Training: 17%|█▋ | 11901/70000 [4:12:34<20:44:06, 1.28s/step] Training: 17%|█▋ | 11902/70000 [4:12:35<20:15:46, 1.26s/step] Training: 17%|█▋ | 11903/70000 [4:12:37<20:01:40, 1.24s/step] Training: 17%|█▋ | 11904/70000 [4:12:38<19:47:16, 1.23s/step] Training: 17%|█▋ | 11905/70000 [4:12:39<20:16:19, 1.26s/step] Training: 17%|█▋ | 11906/70000 [4:12:40<19:57:54, 1.24s/step] Training: 17%|█▋ | 11907/70000 [4:12:42<20:27:51, 1.27s/step] Training: 17%|█▋ | 11908/70000 [4:12:43<20:57:06, 1.30s/step] Training: 17%|█▋ | 11909/70000 [4:12:44<21:00:51, 1.30s/step] Training: 17%|█▋ | 11910/70000 [4:12:46<21:03:25, 1.30s/step] Training: 17%|█▋ | 11911/70000 [4:12:47<21:11:50, 1.31s/step] Training: 17%|█▋ | 11912/70000 [4:12:48<20:35:39, 1.28s/step] Training: 17%|█▋ | 11913/70000 [4:12:49<20:24:13, 1.26s/step] Training: 17%|█▋ | 11914/70000 [4:12:50<20:01:51, 1.24s/step] Training: 17%|█▋ | 11915/70000 [4:12:52<20:29:02, 1.27s/step] Training: 17%|█▋ | 11916/70000 [4:12:53<21:21:03, 1.32s/step] Training: 17%|█▋ | 11917/70000 [4:12:55<21:21:44, 1.32s/step] Training: 17%|█▋ | 11918/70000 [4:12:56<20:42:59, 1.28s/step] Training: 17%|█▋ | 11919/70000 [4:12:57<20:53:02, 1.29s/step] Training: 17%|█▋ | 11920/70000 [4:12:58<20:22:39, 1.26s/step] Training: 17%|█▋ | 11921/70000 [4:13:00<20:06:47, 1.25s/step] Training: 17%|█▋ | 11922/70000 [4:13:01<19:49:07, 1.23s/step] Training: 17%|█▋ | 11923/70000 [4:13:02<20:26:51, 1.27s/step] Training: 17%|█▋ | 11924/70000 [4:13:03<20:48:48, 1.29s/step] Training: 17%|█▋ | 11925/70000 [4:13:05<20:25:13, 1.27s/step] Training: 17%|█▋ | 11926/70000 [4:13:06<20:02:00, 1.24s/step] Training: 17%|█▋ | 11927/70000 [4:13:07<20:24:47, 1.27s/step] Training: 17%|█▋ | 11928/70000 [4:13:08<20:02:14, 1.24s/step] Training: 17%|█▋ | 11929/70000 [4:13:10<20:28:27, 1.27s/step] Training: 17%|█▋ | 11930/70000 [4:13:11<20:05:50, 1.25s/step] Training: 17%|█▋ | 11931/70000 [4:13:12<20:33:20, 1.27s/step] Training: 17%|█▋ | 11932/70000 [4:13:13<20:18:11, 1.26s/step] Training: 17%|█▋ | 11933/70000 [4:13:15<20:40:02, 1.28s/step] Training: 17%|█▋ | 11934/70000 [4:13:16<20:13:59, 1.25s/step] Training: 17%|█▋ | 11935/70000 [4:13:17<20:01:37, 1.24s/step] Training: 17%|█▋ | 11936/70000 [4:13:18<19:46:41, 1.23s/step] Training: 17%|█▋ | 11937/70000 [4:13:20<20:16:44, 1.26s/step] Training: 17%|█▋ | 11938/70000 [4:13:21<19:59:48, 1.24s/step] Training: 17%|█▋ | 11939/70000 [4:13:22<20:23:48, 1.26s/step] Training: 17%|█▋ | 11940/70000 [4:13:23<20:22:05, 1.26s/step] Training: 17%|█▋ | 11941/70000 [4:13:25<20:33:17, 1.27s/step] Training: 17%|█▋ | 11942/70000 [4:13:26<20:47:09, 1.29s/step] Training: 17%|█▋ | 11943/70000 [4:13:27<21:00:38, 1.30s/step] Training: 17%|█▋ | 11944/70000 [4:13:29<20:28:36, 1.27s/step] Training: 17%|█▋ | 11945/70000 [4:13:30<20:19:51, 1.26s/step] Training: 17%|█▋ | 11946/70000 [4:13:31<19:58:47, 1.24s/step] Training: 17%|█▋ | 11947/70000 [4:13:32<20:29:28, 1.27s/step] Training: 17%|█▋ | 11948/70000 [4:13:34<20:48:28, 1.29s/step] Training: 17%|█▋ | 11949/70000 [4:13:35<21:01:18, 1.30s/step] Training: 17%|█▋ | 11950/70000 [4:13:36<20:25:08, 1.27s/step] Training: 17%|█▋ | 11951/70000 [4:13:38<20:42:44, 1.28s/step] Training: 17%|█▋ | 11952/70000 [4:13:39<20:15:42, 1.26s/step] Training: 17%|█▋ | 11953/70000 [4:13:40<20:03:24, 1.24s/step] Training: 17%|█▋ | 11954/70000 [4:13:41<19:47:58, 1.23s/step] Training: 17%|█▋ | 11955/70000 [4:13:42<20:28:58, 1.27s/step] Training: 17%|█▋ | 11956/70000 [4:13:44<20:46:33, 1.29s/step] Training: 17%|█▋ | 11957/70000 [4:13:45<20:38:01, 1.28s/step] Training: 17%|█▋ | 11958/70000 [4:13:46<20:11:27, 1.25s/step] Training: 17%|█▋ | 11959/70000 [4:13:48<20:34:22, 1.28s/step] Training: 17%|█▋ | 11960/70000 [4:13:49<20:08:58, 1.25s/step] Training: 17%|█▋ | 11961/70000 [4:13:50<20:36:49, 1.28s/step] Training: 17%|█▋ | 11962/70000 [4:13:51<20:12:23, 1.25s/step] Training: 17%|█▋ | 11963/70000 [4:13:53<20:34:29, 1.28s/step] Training: 17%|█▋ | 11964/70000 [4:13:54<20:24:51, 1.27s/step] Training: 17%|█▋ | 11965/70000 [4:13:55<20:09:44, 1.25s/step] Training: 17%|█▋ | 11966/70000 [4:13:56<20:35:28, 1.28s/step] Training: 17%|█▋ | 11967/70000 [4:13:58<20:13:45, 1.25s/step] Training: 17%|█▋ | 11968/70000 [4:13:59<19:55:49, 1.24s/step] Training: 17%|█▋ | 11969/70000 [4:14:00<20:25:15, 1.27s/step] Training: 17%|█▋ | 11970/70000 [4:14:01<20:02:52, 1.24s/step] Training: 17%|█▋ | 11971/70000 [4:14:03<20:28:27, 1.27s/step] Training: 17%|█▋ | 11972/70000 [4:14:04<20:15:55, 1.26s/step] Training: 17%|█▋ | 11973/70000 [4:14:05<20:47:13, 1.29s/step] Training: 17%|█▋ | 11974/70000 [4:14:06<20:15:25, 1.26s/step] Training: 17%|█▋ | 11975/70000 [4:14:08<20:38:27, 1.28s/step] Training: 17%|█▋ | 11976/70000 [4:14:09<20:13:37, 1.25s/step] Training: 17%|█▋ | 11977/70000 [4:14:10<20:13:03, 1.25s/step] Training: 17%|█▋ | 11978/70000 [4:14:11<19:53:29, 1.23s/step] Training: 17%|█▋ | 11979/70000 [4:14:13<20:24:15, 1.27s/step] Training: 17%|█▋ | 11980/70000 [4:14:14<20:42:20, 1.28s/step] Training: 17%|█▋ | 11981/70000 [4:14:15<20:56:54, 1.30s/step] Training: 17%|█▋ | 11982/70000 [4:14:17<21:10:53, 1.31s/step] Training: 17%|█▋ | 11983/70000 [4:14:18<21:12:24, 1.32s/step] Training: 17%|█▋ | 11984/70000 [4:14:19<20:36:28, 1.28s/step] Training: 17%|█▋ | 11985/70000 [4:14:21<20:23:43, 1.27s/step] Training: 17%|█▋ | 11986/70000 [4:14:22<20:02:34, 1.24s/step] Training: 17%|█▋ | 11987/70000 [4:14:23<20:35:21, 1.28s/step] Training: 17%|█▋ | 11988/70000 [4:14:24<20:48:32, 1.29s/step] Training: 17%|█▋ | 11989/70000 [4:14:26<20:34:33, 1.28s/step] Training: 17%|█▋ | 11990/70000 [4:14:27<20:55:03, 1.30s/step] Training: 17%|█▋ | 11991/70000 [4:14:28<21:00:48, 1.30s/step] Training: 17%|█▋ | 11992/70000 [4:14:30<20:27:13, 1.27s/step] Training: 17%|█▋ | 11993/70000 [4:14:31<20:50:31, 1.29s/step] Training: 17%|█▋ | 11994/70000 [4:14:32<20:21:42, 1.26s/step] Training: 17%|█▋ | 11995/70000 [4:14:33<20:40:38, 1.28s/step] Training: 17%|█▋ | 11996/70000 [4:14:35<20:24:33, 1.27s/step] Training: 17%|█▋ | 11997/70000 [4:14:36<20:15:59, 1.26s/step] Training: 17%|█▋ | 11998/70000 [4:14:37<19:57:11, 1.24s/step] Training: 17%|█▋ | 11999/70000 [4:14:38<19:48:24, 1.23s/step] Training: 17%|█▋ | 12000/70000 [4:14:39<19:38:50, 1.22s/step]INFO 2026-03-13 00:24:32 ot_train.py:435 step:12K smpl:768K ep:3K epch:10.17 loss:0.133 grdn:11.883 lr:2.3e-05 updt_s:1.246 data_s:0.019 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=46951 Training: 17%|█▋ | 12001/70000 [4:14:41<20:09:27, 1.25s/step] Training: 17%|█▋ | 12002/70000 [4:14:42<19:52:18, 1.23s/step] Training: 17%|█▋ | 12003/70000 [4:14:43<20:19:19, 1.26s/step] Training: 17%|█▋ | 12004/70000 [4:14:45<20:04:29, 1.25s/step] Training: 17%|█▋ | 12005/70000 [4:14:46<19:49:50, 1.23s/step] Training: 17%|█▋ | 12006/70000 [4:14:47<20:16:41, 1.26s/step] Training: 17%|█▋ | 12007/70000 [4:14:48<20:38:00, 1.28s/step] Training: 17%|█▋ | 12008/70000 [4:14:50<20:11:15, 1.25s/step] Training: 17%|█▋ | 12009/70000 [4:14:51<20:07:22, 1.25s/step] Training: 17%|█▋ | 12010/70000 [4:14:52<19:49:24, 1.23s/step] Training: 17%|█▋ | 12011/70000 [4:14:53<20:18:09, 1.26s/step] Training: 17%|█▋ | 12012/70000 [4:14:55<20:39:13, 1.28s/step] Training: 17%|█▋ | 12013/70000 [4:14:56<20:52:22, 1.30s/step] Training: 17%|█▋ | 12014/70000 [4:14:57<20:36:46, 1.28s/step] Training: 17%|█▋ | 12015/70000 [4:14:59<20:51:22, 1.29s/step] Training: 17%|█▋ | 12016/70000 [4:15:00<20:20:27, 1.26s/step] Training: 17%|█▋ | 12017/70000 [4:15:01<20:15:53, 1.26s/step] Training: 17%|█▋ | 12018/70000 [4:15:02<19:59:04, 1.24s/step] Training: 17%|█▋ | 12019/70000 [4:15:04<20:39:17, 1.28s/step] Training: 17%|█▋ | 12020/70000 [4:15:05<20:52:42, 1.30s/step] Training: 17%|█▋ | 12021/70000 [4:15:06<20:27:43, 1.27s/step] Training: 17%|█▋ | 12022/70000 [4:15:07<20:06:55, 1.25s/step] Training: 17%|█▋ | 12023/70000 [4:15:09<21:01:48, 1.31s/step] Training: 17%|█▋ | 12024/70000 [4:15:10<20:27:37, 1.27s/step] Training: 17%|█▋ | 12025/70000 [4:15:11<20:07:38, 1.25s/step] Training: 17%|█▋ | 12026/70000 [4:15:12<20:28:32, 1.27s/step] Training: 17%|█▋ | 12027/70000 [4:15:14<20:47:55, 1.29s/step] Training: 17%|█▋ | 12028/70000 [4:15:15<20:28:55, 1.27s/step] Training: 17%|█▋ | 12029/70000 [4:15:16<20:20:54, 1.26s/step] Training: 17%|█▋ | 12030/70000 [4:15:17<20:00:14, 1.24s/step] Training: 17%|█▋ | 12031/70000 [4:15:19<20:13:46, 1.26s/step] Training: 17%|█▋ | 12032/70000 [4:15:20<19:53:59, 1.24s/step] Training: 17%|█▋ | 12033/70000 [4:15:21<20:21:50, 1.26s/step] Training: 17%|█▋ | 12034/70000 [4:15:22<20:00:35, 1.24s/step] Training: 17%|█▋ | 12035/70000 [4:15:24<19:53:47, 1.24s/step] Training: 17%|█▋ | 12036/70000 [4:15:25<20:09:21, 1.25s/step] Training: 17%|█▋ | 12037/70000 [4:15:26<19:53:34, 1.24s/step] Training: 17%|█▋ | 12038/70000 [4:15:27<20:17:29, 1.26s/step] Training: 17%|█▋ | 12039/70000 [4:15:29<20:48:02, 1.29s/step] Training: 17%|█▋ | 12040/70000 [4:15:30<20:14:07, 1.26s/step] Training: 17%|█▋ | 12041/70000 [4:15:31<19:59:40, 1.24s/step] Training: 17%|█▋ | 12042/70000 [4:15:32<19:45:21, 1.23s/step] Training: 17%|█▋ | 12043/70000 [4:15:34<20:14:50, 1.26s/step] Training: 17%|█▋ | 12044/70000 [4:15:35<20:34:42, 1.28s/step] Training: 17%|█▋ | 12045/70000 [4:15:36<20:50:02, 1.29s/step] Training: 17%|█▋ | 12046/70000 [4:15:38<20:19:45, 1.26s/step] Training: 17%|█▋ | 12047/70000 [4:15:39<20:45:35, 1.29s/step] Training: 17%|█▋ | 12048/70000 [4:15:40<20:13:47, 1.26s/step] Training: 17%|█▋ | 12049/70000 [4:15:41<20:07:10, 1.25s/step] Training: 17%|█▋ | 12050/70000 [4:15:43<19:53:55, 1.24s/step] Training: 17%|█▋ | 12051/70000 [4:15:44<19:47:55, 1.23s/step] Training: 17%|█▋ | 12052/70000 [4:15:45<20:47:07, 1.29s/step] Training: 17%|█▋ | 12053/70000 [4:15:46<20:22:35, 1.27s/step] Training: 17%|█▋ | 12054/70000 [4:15:48<20:03:09, 1.25s/step] Training: 17%|█▋ | 12055/70000 [4:15:49<20:25:09, 1.27s/step] Training: 17%|█▋ | 12056/70000 [4:15:50<20:45:34, 1.29s/step] Training: 17%|█▋ | 12057/70000 [4:15:51<20:13:16, 1.26s/step] Training: 17%|█▋ | 12058/70000 [4:15:53<20:31:20, 1.28s/step] Training: 17%|█▋ | 12059/70000 [4:15:54<20:19:34, 1.26s/step] Training: 17%|█▋ | 12060/70000 [4:15:55<20:33:18, 1.28s/step] Training: 17%|█▋ | 12061/70000 [4:15:57<20:17:38, 1.26s/step] Training: 17%|█▋ | 12062/70000 [4:15:58<19:57:13, 1.24s/step] Training: 17%|█▋ | 12063/70000 [4:15:59<19:48:02, 1.23s/step] Training: 17%|█▋ | 12064/70000 [4:16:00<20:23:30, 1.27s/step] Training: 17%|█▋ | 12065/70000 [4:16:01<19:58:32, 1.24s/step] Training: 17%|█▋ | 12066/70000 [4:16:03<19:44:44, 1.23s/step] Training: 17%|█▋ | 12067/70000 [4:16:04<19:35:05, 1.22s/step] Training: 17%|█▋ | 12068/70000 [4:16:05<20:03:56, 1.25s/step] Training: 17%|█▋ | 12069/70000 [4:16:06<19:47:46, 1.23s/step] Training: 17%|█▋ | 12070/70000 [4:16:08<20:15:46, 1.26s/step] Training: 17%|█▋ | 12071/70000 [4:16:09<20:38:17, 1.28s/step] Training: 17%|█▋ | 12072/70000 [4:16:10<20:53:41, 1.30s/step] Training: 17%|█▋ | 12073/70000 [4:16:12<20:33:43, 1.28s/step] Training: 17%|█▋ | 12074/70000 [4:16:13<20:09:54, 1.25s/step] Training: 17%|█▋ | 12075/70000 [4:16:14<20:30:57, 1.28s/step] Training: 17%|█▋ | 12076/70000 [4:16:15<20:47:06, 1.29s/step] Training: 17%|█▋ | 12077/70000 [4:16:17<20:57:12, 1.30s/step] Training: 17%|█▋ | 12078/70000 [4:16:18<20:24:11, 1.27s/step] Training: 17%|█▋ | 12079/70000 [4:16:19<20:43:07, 1.29s/step] Training: 17%|█▋ | 12080/70000 [4:16:21<21:03:32, 1.31s/step] Training: 17%|█▋ | 12081/70000 [4:16:22<20:32:02, 1.28s/step] Training: 17%|█▋ | 12082/70000 [4:16:23<20:09:56, 1.25s/step] Training: 17%|█▋ | 12083/70000 [4:16:24<20:40:09, 1.28s/step] Training: 17%|█▋ | 12084/70000 [4:16:26<20:55:39, 1.30s/step] Training: 17%|█▋ | 12085/70000 [4:16:27<20:28:16, 1.27s/step] Training: 17%|█▋ | 12086/70000 [4:16:28<20:07:35, 1.25s/step] Training: 17%|█▋ | 12087/70000 [4:16:29<20:30:20, 1.27s/step] Training: 17%|█▋ | 12088/70000 [4:16:31<20:22:54, 1.27s/step] Training: 17%|█▋ | 12089/70000 [4:16:32<20:36:33, 1.28s/step] Training: 17%|█▋ | 12090/70000 [4:16:33<20:09:55, 1.25s/step] Training: 17%|█▋ | 12091/70000 [4:16:35<20:17:35, 1.26s/step] Training: 17%|█▋ | 12092/70000 [4:16:36<21:06:54, 1.31s/step] Training: 17%|█▋ | 12093/70000 [4:16:37<20:42:16, 1.29s/step] Training: 17%|█▋ | 12094/70000 [4:16:38<20:14:18, 1.26s/step] Training: 17%|█▋ | 12095/70000 [4:16:40<20:02:24, 1.25s/step] Training: 17%|█▋ | 12096/70000 [4:16:41<19:48:21, 1.23s/step] Training: 17%|█▋ | 12097/70000 [4:16:42<20:43:08, 1.29s/step] Training: 17%|█▋ | 12098/70000 [4:16:43<20:16:23, 1.26s/step] Training: 17%|█▋ | 12099/70000 [4:16:45<20:03:16, 1.25s/step] Training: 17%|█▋ | 12100/70000 [4:16:46<20:16:24, 1.26s/step]INFO 2026-03-13 00:26:38 ot_train.py:435 step:12K smpl:774K ep:3K epch:10.26 loss:0.136 grdn:11.416 lr:2.3e-05 updt_s:1.244 data_s:0.018 Training: 17%|█▋ | 12101/70000 [4:16:47<19:55:48, 1.24s/step] Training: 17%|█▋ | 12102/70000 [4:16:48<20:21:00, 1.27s/step] Training: 17%|█▋ | 12103/70000 [4:16:50<20:42:41, 1.29s/step] Training: 17%|█▋ | 12104/70000 [4:16:51<20:14:11, 1.26s/step] Training: 17%|█▋ | 12105/70000 [4:16:52<20:29:33, 1.27s/step] Training: 17%|█▋ | 12106/70000 [4:16:53<20:02:27, 1.25s/step] Training: 17%|█▋ | 12107/70000 [4:16:55<20:28:59, 1.27s/step] Training: 17%|█▋ | 12108/70000 [4:16:56<20:44:27, 1.29s/step] Training: 17%|█▋ | 12109/70000 [4:16:57<20:14:50, 1.26s/step] Training: 17%|█▋ | 12110/70000 [4:16:58<19:54:41, 1.24s/step] Training: 17%|█▋ | 12111/70000 [4:17:00<20:19:57, 1.26s/step] Training: 17%|█▋ | 12112/70000 [4:17:01<19:57:30, 1.24s/step] Training: 17%|█▋ | 12113/70000 [4:17:02<20:31:02, 1.28s/step] Training: 17%|█▋ | 12114/70000 [4:17:04<20:04:48, 1.25s/step] Training: 17%|█▋ | 12115/70000 [4:17:05<20:32:54, 1.28s/step] Training: 17%|█▋ | 12116/70000 [4:17:06<20:49:58, 1.30s/step] Training: 17%|█▋ | 12117/70000 [4:17:07<20:30:56, 1.28s/step] Training: 17%|█▋ | 12118/70000 [4:17:09<20:06:06, 1.25s/step] Training: 17%|█▋ | 12119/70000 [4:17:10<20:33:14, 1.28s/step] Training: 17%|█▋ | 12120/70000 [4:17:11<20:07:40, 1.25s/step] Training: 17%|█▋ | 12121/70000 [4:17:13<20:29:59, 1.28s/step] Training: 17%|█▋ | 12122/70000 [4:17:14<20:52:14, 1.30s/step] Training: 17%|█▋ | 12123/70000 [4:17:15<20:44:31, 1.29s/step] Training: 17%|█▋ | 12124/70000 [4:17:16<20:31:30, 1.28s/step] Training: 17%|█▋ | 12125/70000 [4:17:18<20:11:23, 1.26s/step] Training: 17%|█▋ | 12126/70000 [4:17:19<19:52:47, 1.24s/step] Training: 17%|█▋ | 12127/70000 [4:17:20<19:45:08, 1.23s/step] Training: 17%|█▋ | 12128/70000 [4:17:21<19:38:20, 1.22s/step] Training: 17%|█▋ | 12129/70000 [4:17:23<20:08:38, 1.25s/step] Training: 17%|█▋ | 12130/70000 [4:17:24<20:37:00, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=1859 Training: 17%|█▋ | 12131/70000 [4:17:25<20:17:20, 1.26s/step] Training: 17%|█▋ | 12132/70000 [4:17:26<20:24:42, 1.27s/step] Training: 17%|█▋ | 12133/70000 [4:17:28<20:42:53, 1.29s/step] Training: 17%|█▋ | 12134/70000 [4:17:29<20:14:20, 1.26s/step] Training: 17%|█▋ | 12135/70000 [4:17:30<20:37:05, 1.28s/step] Training: 17%|█▋ | 12136/70000 [4:17:31<20:10:21, 1.26s/step] Training: 17%|█▋ | 12137/70000 [4:17:33<20:00:12, 1.24s/step] Training: 17%|█▋ | 12138/70000 [4:17:34<19:50:33, 1.23s/step] Training: 17%|█▋ | 12139/70000 [4:17:35<20:18:46, 1.26s/step] Training: 17%|█▋ | 12140/70000 [4:17:37<20:39:17, 1.29s/step] Training: 17%|█▋ | 12141/70000 [4:17:38<20:53:38, 1.30s/step] Training: 17%|█▋ | 12142/70000 [4:17:39<20:21:41, 1.27s/step] Training: 17%|█▋ | 12143/70000 [4:17:40<20:37:34, 1.28s/step] Training: 17%|█▋ | 12144/70000 [4:17:42<20:09:53, 1.25s/step] Training: 17%|█▋ | 12145/70000 [4:17:43<19:56:45, 1.24s/step] Training: 17%|█▋ | 12146/70000 [4:17:44<20:23:05, 1.27s/step] Training: 17%|█▋ | 12147/70000 [4:17:45<20:43:12, 1.29s/step] Training: 17%|█▋ | 12148/70000 [4:17:47<20:57:00, 1.30s/step] Training: 17%|█▋ | 12149/70000 [4:17:48<20:37:03, 1.28s/step] Training: 17%|█▋ | 12150/70000 [4:17:49<20:09:37, 1.25s/step] Training: 17%|█▋ | 12151/70000 [4:17:51<20:30:48, 1.28s/step] Training: 17%|█▋ | 12152/70000 [4:17:52<20:05:42, 1.25s/step] Training: 17%|█▋ | 12153/70000 [4:17:53<20:26:56, 1.27s/step] Training: 17%|█▋ | 12154/70000 [4:17:54<20:51:22, 1.30s/step] Training: 17%|█▋ | 12155/70000 [4:17:56<20:39:09, 1.29s/step] Training: 17%|█▋ | 12156/70000 [4:17:57<20:22:44, 1.27s/step] Training: 17%|█▋ | 12157/70000 [4:17:58<20:09:44, 1.25s/step] Training: 17%|█▋ | 12158/70000 [4:17:59<19:50:59, 1.24s/step] Training: 17%|█▋ | 12159/70000 [4:18:01<19:42:24, 1.23s/step] Training: 17%|█▋ | 12160/70000 [4:18:02<19:31:20, 1.22s/step] Training: 17%|█▋ | 12161/70000 [4:18:03<20:05:29, 1.25s/step] Training: 17%|█▋ | 12162/70000 [4:18:04<19:59:00, 1.24s/step] Training: 17%|█▋ | 12163/70000 [4:18:05<19:50:20, 1.23s/step] Training: 17%|█▋ | 12164/70000 [4:18:07<20:11:34, 1.26s/step] Training: 17%|█▋ | 12165/70000 [4:18:08<20:35:38, 1.28s/step] Training: 17%|█▋ | 12166/70000 [4:18:09<20:09:10, 1.25s/step] Training: 17%|█▋ | 12167/70000 [4:18:11<20:29:14, 1.28s/step] Training: 17%|█▋ | 12168/70000 [4:18:12<20:03:46, 1.25s/step] Training: 17%|█▋ | 12169/70000 [4:18:13<20:00:30, 1.25s/step] Training: 17%|█▋ | 12170/70000 [4:18:14<19:43:42, 1.23s/step] Training: 17%|█▋ | 12171/70000 [4:18:16<20:45:26, 1.29s/step] Training: 17%|█▋ | 12172/70000 [4:18:17<20:57:27, 1.30s/step] Training: 17%|█▋ | 12173/70000 [4:18:18<21:03:54, 1.31s/step] Training: 17%|█▋ | 12174/70000 [4:18:20<20:29:16, 1.28s/step] Training: 17%|█▋ | 12175/70000 [4:18:21<20:44:06, 1.29s/step] Training: 17%|█▋ | 12176/70000 [4:18:22<20:13:55, 1.26s/step] Training: 17%|█▋ | 12177/70000 [4:18:23<20:00:58, 1.25s/step] Training: 17%|█▋ | 12178/70000 [4:18:24<19:45:41, 1.23s/step] Training: 17%|█▋ | 12179/70000 [4:18:26<20:48:21, 1.30s/step] Training: 17%|█▋ | 12180/70000 [4:18:27<20:58:27, 1.31s/step] Training: 17%|█▋ | 12181/70000 [4:18:28<20:41:34, 1.29s/step] Training: 17%|█▋ | 12182/70000 [4:18:30<20:12:07, 1.26s/step] Training: 17%|█▋ | 12183/70000 [4:18:31<20:29:19, 1.28s/step] Training: 17%|█▋ | 12184/70000 [4:18:32<20:03:27, 1.25s/step] Training: 17%|█▋ | 12185/70000 [4:18:34<20:26:09, 1.27s/step] Training: 17%|█▋ | 12186/70000 [4:18:35<20:03:21, 1.25s/step] Training: 17%|█▋ | 12187/70000 [4:18:36<20:48:06, 1.30s/step] Training: 17%|█▋ | 12188/70000 [4:18:37<20:25:59, 1.27s/step] Training: 17%|█▋ | 12189/70000 [4:18:39<20:06:51, 1.25s/step] Training: 17%|█▋ | 12190/70000 [4:18:40<19:49:44, 1.23s/step] Training: 17%|█▋ | 12191/70000 [4:18:41<19:42:39, 1.23s/step] Training: 17%|█▋ | 12192/70000 [4:18:42<19:31:28, 1.22s/step] Training: 17%|█▋ | 12193/70000 [4:18:43<20:01:59, 1.25s/step] Training: 17%|█▋ | 12194/70000 [4:18:45<19:46:07, 1.23s/step] Training: 17%|█▋ | 12195/70000 [4:18:46<19:38:32, 1.22s/step] Training: 17%|█▋ | 12196/70000 [4:18:47<20:12:11, 1.26s/step] Training: 17%|█▋ | 12197/70000 [4:18:49<20:29:20, 1.28s/step] Training: 17%|█▋ | 12198/70000 [4:18:50<20:03:57, 1.25s/step] Training: 17%|█▋ | 12199/70000 [4:18:51<20:27:17, 1.27s/step] Training: 17%|█▋ | 12200/70000 [4:18:52<20:02:22, 1.25s/step]INFO 2026-03-13 00:28:44 ot_train.py:435 step:12K smpl:781K ep:3K epch:10.34 loss:0.124 grdn:11.071 lr:2.3e-05 updt_s:1.242 data_s:0.019 Training: 17%|█▋ | 12201/70000 [4:18:53<19:56:13, 1.24s/step] Training: 17%|█▋ | 12202/70000 [4:18:55<19:40:38, 1.23s/step] Training: 17%|█▋ | 12203/70000 [4:18:56<20:12:26, 1.26s/step] Training: 17%|█▋ | 12204/70000 [4:18:57<21:06:36, 1.31s/step] Training: 17%|█▋ | 12205/70000 [4:18:59<21:11:06, 1.32s/step] Training: 17%|█▋ | 12206/70000 [4:19:00<20:32:37, 1.28s/step] Training: 17%|█▋ | 12207/70000 [4:19:01<20:46:40, 1.29s/step] Training: 17%|█▋ | 12208/70000 [4:19:02<20:15:49, 1.26s/step] Training: 17%|█▋ | 12209/70000 [4:19:04<20:01:35, 1.25s/step] Training: 17%|█▋ | 12210/70000 [4:19:05<19:44:35, 1.23s/step] Training: 17%|█▋ | 12211/70000 [4:19:06<20:40:30, 1.29s/step] Training: 17%|█▋ | 12212/70000 [4:19:08<20:56:03, 1.30s/step] Training: 17%|█▋ | 12213/70000 [4:19:09<20:35:00, 1.28s/step] Training: 17%|█▋ | 12214/70000 [4:19:10<20:10:08, 1.26s/step] Training: 17%|█▋ | 12215/70000 [4:19:11<20:34:42, 1.28s/step] Training: 17%|█▋ | 12216/70000 [4:19:13<20:07:45, 1.25s/step] Training: 17%|█▋ | 12217/70000 [4:19:14<19:48:54, 1.23s/step] Training: 17%|█▋ | 12218/70000 [4:19:15<20:13:00, 1.26s/step] Training: 17%|█▋ | 12219/70000 [4:19:16<20:48:33, 1.30s/step] Training: 17%|█▋ | 12220/70000 [4:19:18<20:58:09, 1.31s/step] Training: 17%|█▋ | 12221/70000 [4:19:19<20:31:25, 1.28s/step] Training: 17%|█▋ | 12222/70000 [4:19:20<20:05:50, 1.25s/step] Training: 17%|█▋ | 12223/70000 [4:19:21<19:53:21, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=5547 Training: 17%|█▋ | 12224/70000 [4:19:23<19:38:48, 1.22s/step] Training: 17%|█▋ | 12225/70000 [4:19:24<20:10:28, 1.26s/step] Training: 17%|█▋ | 12226/70000 [4:19:25<19:50:54, 1.24s/step] Training: 17%|█▋ | 12227/70000 [4:19:26<19:42:33, 1.23s/step] Training: 17%|█▋ | 12228/70000 [4:19:28<20:24:58, 1.27s/step] Training: 17%|█▋ | 12229/70000 [4:19:29<19:57:51, 1.24s/step] Training: 17%|█▋ | 12230/70000 [4:19:30<20:20:42, 1.27s/step] Training: 17%|█▋ | 12231/70000 [4:19:32<20:40:54, 1.29s/step] Training: 17%|█▋ | 12232/70000 [4:19:33<20:12:58, 1.26s/step] Training: 17%|█▋ | 12233/70000 [4:19:34<19:58:58, 1.25s/step] Training: 17%|█▋ | 12234/70000 [4:19:35<19:43:26, 1.23s/step] Training: 17%|█▋ | 12235/70000 [4:19:36<20:17:29, 1.26s/step] Training: 17%|█▋ | 12236/70000 [4:19:38<20:38:42, 1.29s/step] Training: 17%|█▋ | 12237/70000 [4:19:39<20:11:53, 1.26s/step] Training: 17%|█▋ | 12238/70000 [4:19:40<19:50:34, 1.24s/step] Training: 17%|█▋ | 12239/70000 [4:19:42<20:17:21, 1.26s/step] Training: 17%|█▋ | 12240/70000 [4:19:43<19:55:39, 1.24s/step] Training: 17%|█▋ | 12241/70000 [4:19:44<19:52:06, 1.24s/step] Training: 17%|█▋ | 12242/70000 [4:19:45<19:41:43, 1.23s/step] Training: 17%|█▋ | 12243/70000 [4:19:46<20:08:55, 1.26s/step] Training: 17%|█▋ | 12244/70000 [4:19:48<20:31:15, 1.28s/step] Training: 17%|█▋ | 12245/70000 [4:19:49<21:33:44, 1.34s/step] Training: 17%|█▋ | 12246/70000 [4:19:50<20:48:47, 1.30s/step] Training: 17%|█▋ | 12247/70000 [4:19:52<20:53:35, 1.30s/step] Training: 17%|█▋ | 12248/70000 [4:19:53<20:22:40, 1.27s/step] Training: 17%|█▋ | 12249/70000 [4:19:54<20:00:41, 1.25s/step] Training: 18%|█▊ | 12250/70000 [4:19:56<20:21:03, 1.27s/step] Training: 18%|█▊ | 12251/70000 [4:19:57<20:50:33, 1.30s/step] Training: 18%|█▊ | 12252/70000 [4:19:58<20:33:01, 1.28s/step] Training: 18%|█▊ | 12253/70000 [4:19:59<20:37:28, 1.29s/step] Training: 18%|█▊ | 12254/70000 [4:20:01<20:07:35, 1.25s/step] Training: 18%|█▊ | 12255/70000 [4:20:02<19:55:40, 1.24s/step] Training: 18%|█▊ | 12256/70000 [4:20:03<19:39:54, 1.23s/step] Training: 18%|█▊ | 12257/70000 [4:20:04<20:10:09, 1.26s/step] Training: 18%|█▊ | 12258/70000 [4:20:06<19:50:39, 1.24s/step] Training: 18%|█▊ | 12259/70000 [4:20:07<19:44:51, 1.23s/step] Training: 18%|█▊ | 12260/70000 [4:20:08<19:37:55, 1.22s/step] Training: 18%|█▊ | 12261/70000 [4:20:09<20:17:55, 1.27s/step] Training: 18%|█▊ | 12262/70000 [4:20:10<19:52:32, 1.24s/step] Training: 18%|█▊ | 12263/70000 [4:20:12<20:20:53, 1.27s/step] Training: 18%|█▊ | 12264/70000 [4:20:13<19:57:11, 1.24s/step] Training: 18%|█▊ | 12265/70000 [4:20:14<20:23:09, 1.27s/step] Training: 18%|█▊ | 12266/70000 [4:20:16<19:59:40, 1.25s/step] Training: 18%|█▊ | 12267/70000 [4:20:17<20:24:28, 1.27s/step] Training: 18%|█▊ | 12268/70000 [4:20:18<20:42:35, 1.29s/step] Training: 18%|█▊ | 12269/70000 [4:20:20<21:04:08, 1.31s/step] Training: 18%|█▊ | 12270/70000 [4:20:21<20:25:11, 1.27s/step] Training: 18%|█▊ | 12271/70000 [4:20:22<20:40:28, 1.29s/step] Training: 18%|█▊ | 12272/70000 [4:20:23<20:11:43, 1.26s/step] Training: 18%|█▊ | 12273/70000 [4:20:25<20:31:38, 1.28s/step] Training: 18%|█▊ | 12274/70000 [4:20:26<20:05:34, 1.25s/step] Training: 18%|█▊ | 12275/70000 [4:20:27<20:29:10, 1.28s/step] Training: 18%|█▊ | 12276/70000 [4:20:28<20:43:17, 1.29s/step] Training: 18%|█▊ | 12277/70000 [4:20:30<20:23:53, 1.27s/step] Training: 18%|█▊ | 12278/70000 [4:20:31<20:45:32, 1.29s/step] Training: 18%|█▊ | 12279/70000 [4:20:32<20:52:43, 1.30s/step] Training: 18%|█▊ | 12280/70000 [4:20:34<20:20:15, 1.27s/step] Training: 18%|█▊ | 12281/70000 [4:20:35<20:01:35, 1.25s/step] Training: 18%|█▊ | 12282/70000 [4:20:36<19:44:23, 1.23s/step] Training: 18%|█▊ | 12283/70000 [4:20:37<20:22:33, 1.27s/step] Training: 18%|█▊ | 12284/70000 [4:20:39<20:15:32, 1.26s/step] Training: 18%|█▊ | 12285/70000 [4:20:40<19:57:50, 1.25s/step] Training: 18%|█▊ | 12286/70000 [4:20:41<20:59:56, 1.31s/step] Training: 18%|█▊ | 12287/70000 [4:20:42<20:28:29, 1.28s/step] Training: 18%|█▊ | 12288/70000 [4:20:44<20:04:13, 1.25s/step] Training: 18%|█▊ | 12289/70000 [4:20:45<20:34:40, 1.28s/step] Training: 18%|█▊ | 12290/70000 [4:20:46<20:07:36, 1.26s/step] Training: 18%|█▊ | 12291/70000 [4:20:47<20:04:22, 1.25s/step] Training: 18%|█▊ | 12292/70000 [4:20:49<19:51:54, 1.24s/step] Training: 18%|█▊ | 12293/70000 [4:20:50<20:21:43, 1.27s/step] Training: 18%|█▊ | 12294/70000 [4:20:51<20:41:04, 1.29s/step] Training: 18%|█▊ | 12295/70000 [4:20:53<20:47:44, 1.30s/step] Training: 18%|█▊ | 12296/70000 [4:20:54<20:16:29, 1.26s/step] Training: 18%|█▊ | 12297/70000 [4:20:55<20:36:12, 1.29s/step] Training: 18%|█▊ | 12298/70000 [4:20:56<20:10:49, 1.26s/step] Training: 18%|█▊ | 12299/70000 [4:20:58<20:31:35, 1.28s/step] Training: 18%|█▊ | 12300/70000 [4:20:59<20:47:43, 1.30s/step]INFO 2026-03-13 00:30:51 ot_train.py:435 step:12K smpl:787K ep:3K epch:10.43 loss:0.133 grdn:11.659 lr:2.3e-05 updt_s:1.246 data_s:0.019 Training: 18%|█▊ | 12301/70000 [4:21:00<20:58:30, 1.31s/step] Training: 18%|█▊ | 12302/70000 [4:21:02<21:12:28, 1.32s/step] Training: 18%|█▊ | 12303/70000 [4:21:03<21:09:07, 1.32s/step] Training: 18%|█▊ | 12304/70000 [4:21:04<20:30:47, 1.28s/step] Training: 18%|█▊ | 12305/70000 [4:21:05<20:49:45, 1.30s/step] Training: 18%|█▊ | 12306/70000 [4:21:07<20:20:47, 1.27s/step] Training: 18%|█▊ | 12307/70000 [4:21:08<20:37:44, 1.29s/step] Training: 18%|█▊ | 12308/70000 [4:21:09<20:54:23, 1.30s/step] Training: 18%|█▊ | 12309/70000 [4:21:11<20:36:19, 1.29s/step] Training: 18%|█▊ | 12310/70000 [4:21:12<20:21:58, 1.27s/step] Training: 18%|█▊ | 12311/70000 [4:21:13<20:33:49, 1.28s/step] Training: 18%|█▊ | 12312/70000 [4:21:14<20:08:39, 1.26s/step] Training: 18%|█▊ | 12313/70000 [4:21:16<19:55:24, 1.24s/step] Training: 18%|█▊ | 12314/70000 [4:21:17<19:41:27, 1.23s/step] Training: 18%|█▊ | 12315/70000 [4:21:18<20:10:59, 1.26s/step] Training: 18%|█▊ | 12316/70000 [4:21:19<20:04:34, 1.25s/step] Training: 18%|█▊ | 12317/70000 [4:21:21<19:54:04, 1.24s/step] Training: 18%|█▊ | 12318/70000 [4:21:22<19:39:36, 1.23s/step] Training: 18%|█▊ | 12319/70000 [4:21:23<20:15:29, 1.26s/step] Training: 18%|█▊ | 12320/70000 [4:21:24<19:51:49, 1.24s/step] Training: 18%|█▊ | 12321/70000 [4:21:26<20:18:25, 1.27s/step] Training: 18%|█▊ | 12322/70000 [4:21:27<19:56:41, 1.24s/step] Training: 18%|█▊ | 12323/70000 [4:21:28<20:23:24, 1.27s/step] Training: 18%|█▊ | 12324/70000 [4:21:29<20:05:48, 1.25s/step] Training: 18%|█▊ | 12325/70000 [4:21:31<19:46:39, 1.23s/step] Training: 18%|█▊ | 12326/70000 [4:21:32<20:14:10, 1.26s/step] Training: 18%|█▊ | 12327/70000 [4:21:33<20:59:56, 1.31s/step] Training: 18%|█▊ | 12328/70000 [4:21:34<20:24:19, 1.27s/step] Training: 18%|█▊ | 12329/70000 [4:21:36<20:40:53, 1.29s/step] Training: 18%|█▊ | 12330/70000 [4:21:37<20:13:37, 1.26s/step] Training: 18%|█▊ | 12331/70000 [4:21:38<20:30:17, 1.28s/step] Training: 18%|█▊ | 12332/70000 [4:21:40<20:46:42, 1.30s/step] Training: 18%|█▊ | 12333/70000 [4:21:41<20:15:31, 1.26s/step] Training: 18%|█▊ | 12334/70000 [4:21:42<20:16:50, 1.27s/step] Training: 18%|█▊ | 12335/70000 [4:21:43<20:46:01, 1.30s/step] Training: 18%|█▊ | 12336/70000 [4:21:45<20:49:00, 1.30s/step] Training: 18%|█▊ | 12337/70000 [4:21:46<20:56:44, 1.31s/step] Training: 18%|█▊ | 12338/70000 [4:21:47<20:22:05, 1.27s/step] Training: 18%|█▊ | 12339/70000 [4:21:49<20:39:05, 1.29s/step] Training: 18%|█▊ | 12340/70000 [4:21:50<20:52:35, 1.30s/step] Training: 18%|█▊ | 12341/70000 [4:21:51<20:19:30, 1.27s/step] Training: 18%|█▊ | 12342/70000 [4:21:52<20:02:19, 1.25s/step] Training: 18%|█▊ | 12343/70000 [4:21:54<19:45:26, 1.23s/step] Training: 18%|█▊ | 12344/70000 [4:21:55<20:15:32, 1.26s/step] Training: 18%|█▊ | 12345/70000 [4:21:56<19:59:46, 1.25s/step] Training: 18%|█▊ | 12346/70000 [4:21:57<19:42:49, 1.23s/step] Training: 18%|█▊ | 12347/70000 [4:21:59<20:28:23, 1.28s/step] Training: 18%|█▊ | 12348/70000 [4:22:00<20:13:10, 1.26s/step] Training: 18%|█▊ | 12349/70000 [4:22:01<19:54:53, 1.24s/step] Training: 18%|█▊ | 12350/70000 [4:22:02<20:20:47, 1.27s/step] Training: 18%|█▊ | 12351/70000 [4:22:04<19:57:47, 1.25s/step] Training: 18%|█▊ | 12352/70000 [4:22:05<20:28:10, 1.28s/step] Training: 18%|█▊ | 12353/70000 [4:22:06<20:39:25, 1.29s/step] Training: 18%|█▊ | 12354/70000 [4:22:07<20:10:14, 1.26s/step] Training: 18%|█▊ | 12355/70000 [4:22:09<20:33:22, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=5547 Training: 18%|█▊ | 12356/70000 [4:22:10<20:13:37, 1.26s/step] Training: 18%|█▊ | 12357/70000 [4:22:11<19:52:15, 1.24s/step] Training: 18%|█▊ | 12358/70000 [4:22:13<20:18:42, 1.27s/step] Training: 18%|█▊ | 12359/70000 [4:22:14<19:56:49, 1.25s/step] Training: 18%|█▊ | 12360/70000 [4:22:15<20:29:54, 1.28s/step] Training: 18%|█▊ | 12361/70000 [4:22:16<20:42:34, 1.29s/step] Training: 18%|█▊ | 12362/70000 [4:22:18<20:12:42, 1.26s/step] Training: 18%|█▊ | 12363/70000 [4:22:19<20:31:43, 1.28s/step] Training: 18%|█▊ | 12364/70000 [4:22:20<20:48:09, 1.30s/step] Training: 18%|█▊ | 12365/70000 [4:22:21<20:16:23, 1.27s/step] Training: 18%|█▊ | 12366/70000 [4:22:23<20:34:37, 1.29s/step] Training: 18%|█▊ | 12367/70000 [4:22:24<20:08:16, 1.26s/step] Training: 18%|█▊ | 12368/70000 [4:22:25<20:28:35, 1.28s/step] Training: 18%|█▊ | 12369/70000 [4:22:27<20:42:00, 1.29s/step] Training: 18%|█▊ | 12370/70000 [4:22:28<20:14:22, 1.26s/step] Training: 18%|█▊ | 12371/70000 [4:22:29<20:38:14, 1.29s/step] Training: 18%|█▊ | 12372/70000 [4:22:31<20:52:04, 1.30s/step] Training: 18%|█▊ | 12373/70000 [4:22:32<20:19:54, 1.27s/step] Training: 18%|█▊ | 12374/70000 [4:22:33<20:01:30, 1.25s/step] Training: 18%|█▊ | 12375/70000 [4:22:34<19:44:47, 1.23s/step] Training: 18%|█▊ | 12376/70000 [4:22:36<20:22:14, 1.27s/step] Training: 18%|█▊ | 12377/70000 [4:22:37<20:01:59, 1.25s/step] Training: 18%|█▊ | 12378/70000 [4:22:38<19:44:25, 1.23s/step] Training: 18%|█▊ | 12379/70000 [4:22:39<20:23:01, 1.27s/step] Training: 18%|█▊ | 12380/70000 [4:22:41<20:09:52, 1.26s/step] Training: 18%|█▊ | 12381/70000 [4:22:42<19:48:58, 1.24s/step] Training: 18%|█▊ | 12382/70000 [4:22:43<20:15:36, 1.27s/step] Training: 18%|█▊ | 12383/70000 [4:22:44<19:54:04, 1.24s/step] Training: 18%|█▊ | 12384/70000 [4:22:45<19:53:04, 1.24s/step] Training: 18%|█▊ | 12385/70000 [4:22:47<20:15:55, 1.27s/step] Training: 18%|█▊ | 12386/70000 [4:22:48<19:54:11, 1.24s/step] Training: 18%|█▊ | 12387/70000 [4:22:49<20:20:56, 1.27s/step] Training: 18%|█▊ | 12388/70000 [4:22:51<20:02:05, 1.25s/step] Training: 18%|█▊ | 12389/70000 [4:22:52<19:44:36, 1.23s/step] Training: 18%|█▊ | 12390/70000 [4:22:53<20:15:39, 1.27s/step] Training: 18%|█▊ | 12391/70000 [4:22:54<19:54:58, 1.24s/step] Training: 18%|█▊ | 12392/70000 [4:22:55<19:56:36, 1.25s/step] Training: 18%|█▊ | 12393/70000 [4:22:57<20:57:30, 1.31s/step] Training: 18%|█▊ | 12394/70000 [4:22:58<20:22:58, 1.27s/step] Training: 18%|█▊ | 12395/70000 [4:22:59<20:38:51, 1.29s/step] Training: 18%|█▊ | 12396/70000 [4:23:01<20:53:11, 1.31s/step] Training: 18%|█▊ | 12397/70000 [4:23:02<20:19:34, 1.27s/step] Training: 18%|█▊ | 12398/70000 [4:23:03<20:34:54, 1.29s/step] Training: 18%|█▊ | 12399/70000 [4:23:05<20:07:32, 1.26s/step] Training: 18%|█▊ | 12400/70000 [4:23:06<19:53:19, 1.24s/step]INFO 2026-03-13 00:32:58 ot_train.py:435 step:12K smpl:794K ep:3K epch:10.51 loss:0.128 grdn:11.769 lr:2.3e-05 updt_s:1.247 data_s:0.019 Training: 18%|█▊ | 12401/70000 [4:23:07<20:45:33, 1.30s/step] Training: 18%|█▊ | 12402/70000 [4:23:08<20:14:54, 1.27s/step] Training: 18%|█▊ | 12403/70000 [4:23:10<20:33:37, 1.29s/step] Training: 18%|█▊ | 12404/70000 [4:23:11<21:16:57, 1.33s/step] Training: 18%|█▊ | 12405/70000 [4:23:12<20:36:26, 1.29s/step] Training: 18%|█▊ | 12406/70000 [4:23:13<20:12:52, 1.26s/step] Training: 18%|█▊ | 12407/70000 [4:23:15<19:52:35, 1.24s/step] Training: 18%|█▊ | 12408/70000 [4:23:16<20:18:38, 1.27s/step] Training: 18%|█▊ | 12409/70000 [4:23:17<20:43:32, 1.30s/step] Training: 18%|█▊ | 12410/70000 [4:23:19<20:10:49, 1.26s/step] Training: 18%|█▊ | 12411/70000 [4:23:20<20:31:10, 1.28s/step] Training: 18%|█▊ | 12412/70000 [4:23:21<20:36:47, 1.29s/step] Training: 18%|█▊ | 12413/70000 [4:23:22<20:09:04, 1.26s/step] Training: 18%|█▊ | 12414/70000 [4:23:24<20:27:37, 1.28s/step] Training: 18%|█▊ | 12415/70000 [4:23:25<20:04:38, 1.26s/step] Training: 18%|█▊ | 12416/70000 [4:23:26<20:21:21, 1.27s/step] Training: 18%|█▊ | 12417/70000 [4:23:28<20:37:47, 1.29s/step] Training: 18%|█▊ | 12418/70000 [4:23:29<20:54:25, 1.31s/step] Training: 18%|█▊ | 12419/70000 [4:23:30<20:58:39, 1.31s/step] Training: 18%|█▊ | 12420/70000 [4:23:31<20:34:29, 1.29s/step] Training: 18%|█▊ | 12421/70000 [4:23:33<20:06:09, 1.26s/step] Training: 18%|█▊ | 12422/70000 [4:23:34<20:26:20, 1.28s/step] Training: 18%|█▊ | 12423/70000 [4:23:35<20:02:02, 1.25s/step] Training: 18%|█▊ | 12424/70000 [4:23:36<19:52:50, 1.24s/step] Training: 18%|█▊ | 12425/70000 [4:23:38<20:20:00, 1.27s/step] Training: 18%|█▊ | 12426/70000 [4:23:39<20:40:46, 1.29s/step] Training: 18%|█▊ | 12427/70000 [4:23:40<20:15:54, 1.27s/step] Training: 18%|█▊ | 12428/70000 [4:23:42<20:32:35, 1.28s/step] Training: 18%|█▊ | 12429/70000 [4:23:43<20:04:59, 1.26s/step] Training: 18%|█▊ | 12430/70000 [4:23:44<20:26:48, 1.28s/step] Training: 18%|█▊ | 12431/70000 [4:23:45<20:01:46, 1.25s/step] Training: 18%|█▊ | 12432/70000 [4:23:47<19:49:28, 1.24s/step] Training: 18%|█▊ | 12433/70000 [4:23:48<20:13:26, 1.26s/step] Training: 18%|█▊ | 12434/70000 [4:23:49<19:53:48, 1.24s/step] Training: 18%|█▊ | 12435/70000 [4:23:50<20:20:33, 1.27s/step] Training: 18%|█▊ | 12436/70000 [4:23:52<20:35:48, 1.29s/step] Training: 18%|█▊ | 12437/70000 [4:23:53<20:07:02, 1.26s/step] Training: 18%|█▊ | 12438/70000 [4:23:54<19:51:48, 1.24s/step] Training: 18%|█▊ | 12439/70000 [4:23:55<19:37:28, 1.23s/step] Training: 18%|█▊ | 12440/70000 [4:23:57<20:07:10, 1.26s/step] Training: 18%|█▊ | 12441/70000 [4:23:58<19:52:07, 1.24s/step] Training: 18%|█▊ | 12442/70000 [4:23:59<19:45:57, 1.24s/step] Training: 18%|█▊ | 12443/70000 [4:24:00<20:13:33, 1.27s/step] Training: 18%|█▊ | 12444/70000 [4:24:02<20:14:09, 1.27s/step] Training: 18%|█▊ | 12445/70000 [4:24:03<19:51:49, 1.24s/step] Training: 18%|█▊ | 12446/70000 [4:24:04<20:16:18, 1.27s/step] Training: 18%|█▊ | 12447/70000 [4:24:05<19:54:07, 1.24s/step] Training: 18%|█▊ | 12448/70000 [4:24:07<20:16:17, 1.27s/step] Training: 18%|█▊ | 12449/70000 [4:24:08<20:33:35, 1.29s/step] Training: 18%|█▊ | 12450/70000 [4:24:09<20:27:42, 1.28s/step] Training: 18%|█▊ | 12451/70000 [4:24:10<20:08:30, 1.26s/step] Training: 18%|█▊ | 12452/70000 [4:24:12<20:36:53, 1.29s/step] Training: 18%|█▊ | 12453/70000 [4:24:13<20:08:11, 1.26s/step] Training: 18%|█▊ | 12454/70000 [4:24:14<20:30:09, 1.28s/step] Training: 18%|█▊ | 12455/70000 [4:24:16<20:04:22, 1.26s/step] Training: 18%|█▊ | 12456/70000 [4:24:17<19:53:54, 1.24s/step] Training: 18%|█▊ | 12457/70000 [4:24:18<20:19:24, 1.27s/step] Training: 18%|█▊ | 12458/70000 [4:24:19<19:56:17, 1.25s/step] Training: 18%|█▊ | 12459/70000 [4:24:21<20:24:13, 1.28s/step] Training: 18%|█▊ | 12460/70000 [4:24:22<20:36:29, 1.29s/step] Training: 18%|█▊ | 12461/70000 [4:24:23<20:10:49, 1.26s/step] Training: 18%|█▊ | 12462/70000 [4:24:24<20:30:32, 1.28s/step] Training: 18%|█▊ | 12463/70000 [4:24:26<20:04:00, 1.26s/step] Training: 18%|█▊ | 12464/70000 [4:24:27<19:52:53, 1.24s/step] Training: 18%|█▊ | 12465/70000 [4:24:28<20:17:40, 1.27s/step] Training: 18%|█▊ | 12466/70000 [4:24:29<19:54:23, 1.25s/step] Training: 18%|█▊ | 12467/70000 [4:24:31<20:44:39, 1.30s/step] Training: 18%|█▊ | 12468/70000 [4:24:32<20:55:15, 1.31s/step] Training: 18%|█▊ | 12469/70000 [4:24:33<20:21:24, 1.27s/step] Training: 18%|█▊ | 12470/70000 [4:24:35<20:02:16, 1.25s/step] Training: 18%|█▊ | 12471/70000 [4:24:36<19:44:11, 1.24s/step] Training: 18%|█▊ | 12472/70000 [4:24:37<20:11:04, 1.26s/step] Training: 18%|█▊ | 12473/70000 [4:24:38<19:53:45, 1.25s/step] Training: 18%|█▊ | 12474/70000 [4:24:39<19:37:25, 1.23s/step] Training: 18%|█▊ | 12475/70000 [4:24:41<20:09:07, 1.26s/step] Training: 18%|█▊ | 12476/70000 [4:24:42<20:31:39, 1.28s/step] Training: 18%|█▊ | 12477/70000 [4:24:43<20:01:35, 1.25s/step] Training: 18%|█▊ | 12478/70000 [4:24:45<20:22:51, 1.28s/step] Training: 18%|█▊ | 12479/70000 [4:24:46<19:59:23, 1.25s/step] Training: 18%|█▊ | 12480/70000 [4:24:47<20:17:18, 1.27s/step] Training: 18%|█▊ | 12481/70000 [4:24:49<20:34:37, 1.29s/step] Training: 18%|█▊ | 12482/70000 [4:24:50<20:05:58, 1.26s/step] Training: 18%|█▊ | 12483/70000 [4:24:51<20:49:51, 1.30s/step] Training: 18%|█▊ | 12484/70000 [4:24:52<20:53:03, 1.31s/step] Training: 18%|█▊ | 12485/70000 [4:24:54<20:18:27, 1.27s/step] Training: 18%|█▊ | 12486/70000 [4:24:55<20:35:51, 1.29s/step] Training: 18%|█▊ | 12487/70000 [4:24:56<20:08:45, 1.26s/step] Training: 18%|█▊ | 12488/70000 [4:24:57<19:57:58, 1.25s/step] Training: 18%|█▊ | 12489/70000 [4:24:59<20:20:57, 1.27s/step] Training: 18%|█▊ | 12490/70000 [4:25:00<19:56:03, 1.25s/step] Training: 18%|█▊ | 12491/70000 [4:25:01<19:51:38, 1.24s/step] Training: 18%|█▊ | 12492/70000 [4:25:03<20:52:26, 1.31s/step] Training: 18%|█▊ | 12493/70000 [4:25:04<20:19:03, 1.27s/step] Training: 18%|█▊ | 12494/70000 [4:25:05<20:35:33, 1.29s/step] Training: 18%|█▊ | 12495/70000 [4:25:06<20:06:10, 1.26s/step] Training: 18%|█▊ | 12496/70000 [4:25:07<19:56:29, 1.25s/step] Training: 18%|█▊ | 12497/70000 [4:25:09<20:17:31, 1.27s/step] Training: 18%|█▊ | 12498/70000 [4:25:10<19:55:42, 1.25s/step] Training: 18%|█▊ | 12499/70000 [4:25:11<19:38:29, 1.23s/step] Training: 18%|█▊ | 12500/70000 [4:25:13<20:35:14, 1.29s/step]INFO 2026-03-13 00:35:05 ot_train.py:435 step:12K smpl:800K ep:3K epch:10.60 loss:0.137 grdn:12.611 lr:2.3e-05 updt_s:1.248 data_s:0.019 Training: 18%|█▊ | 12501/70000 [4:25:14<20:06:01, 1.26s/step] Training: 18%|█▊ | 12502/70000 [4:25:15<19:53:07, 1.25s/step] Training: 18%|█▊ | 12503/70000 [4:25:16<19:37:14, 1.23s/step] Training: 18%|█▊ | 12504/70000 [4:25:18<20:05:21, 1.26s/step] Training: 18%|█▊ | 12505/70000 [4:25:19<19:50:34, 1.24s/step] Training: 18%|█▊ | 12506/70000 [4:25:20<19:36:08, 1.23s/step] Training: 18%|█▊ | 12507/70000 [4:25:21<19:26:11, 1.22s/step] Training: 18%|█▊ | 12508/70000 [4:25:22<19:36:41, 1.23s/step] Training: 18%|█▊ | 12509/70000 [4:25:24<19:25:08, 1.22s/step] Training: 18%|█▊ | 12510/70000 [4:25:25<19:59:11, 1.25s/step] Training: 18%|█▊ | 12511/70000 [4:25:26<19:41:42, 1.23s/step] Training: 18%|█▊ | 12512/70000 [4:25:27<20:07:20, 1.26s/step] Training: 18%|█▊ | 12513/70000 [4:25:29<20:31:35, 1.29s/step] Training: 18%|█▊ | 12514/70000 [4:25:30<20:04:20, 1.26s/step] Training: 18%|█▊ | 12515/70000 [4:25:31<19:52:38, 1.24s/step] Training: 18%|█▊ | 12516/70000 [4:25:33<20:34:08, 1.29s/step] Training: 18%|█▊ | 12517/70000 [4:25:34<20:05:22, 1.26s/step] Training: 18%|█▊ | 12518/70000 [4:25:35<20:23:34, 1.28s/step] Training: 18%|█▊ | 12519/70000 [4:25:36<19:58:36, 1.25s/step] Training: 18%|█▊ | 12520/70000 [4:25:37<19:52:39, 1.24s/step] Training: 18%|█▊ | 12521/70000 [4:25:39<20:19:44, 1.27s/step] Training: 18%|█▊ | 12522/70000 [4:25:40<19:58:04, 1.25s/step] Training: 18%|█▊ | 12523/70000 [4:25:41<19:55:31, 1.25s/step] Training: 18%|█▊ | 12524/70000 [4:25:43<20:22:19, 1.28s/step] Training: 18%|█▊ | 12525/70000 [4:25:44<19:58:31, 1.25s/step] Training: 18%|█▊ | 12526/70000 [4:25:45<20:19:45, 1.27s/step] Training: 18%|█▊ | 12527/70000 [4:25:46<19:56:34, 1.25s/step] Training: 18%|█▊ | 12528/70000 [4:25:48<19:44:20, 1.24s/step] Training: 18%|█▊ | 12529/70000 [4:25:49<20:10:08, 1.26s/step] Training: 18%|█▊ | 12530/70000 [4:25:50<19:48:29, 1.24s/step] Training: 18%|█▊ | 12531/70000 [4:25:51<19:33:26, 1.23s/step] Training: 18%|█▊ | 12532/70000 [4:25:53<20:38:52, 1.29s/step] Training: 18%|█▊ | 12533/70000 [4:25:54<20:52:08, 1.31s/step] Training: 18%|█▊ | 12534/70000 [4:25:55<20:21:48, 1.28s/step] Training: 18%|█▊ | 12535/70000 [4:25:56<19:57:33, 1.25s/step] Training: 18%|█▊ | 12536/70000 [4:25:58<20:19:41, 1.27s/step] Training: 18%|█▊ | 12537/70000 [4:25:59<20:02:42, 1.26s/step] Training: 18%|█▊ | 12538/70000 [4:26:00<19:43:58, 1.24s/step] Training: 18%|█▊ | 12539/70000 [4:26:01<19:29:54, 1.22s/step] Training: 18%|█▊ | 12540/70000 [4:26:03<19:36:39, 1.23s/step] Training: 18%|█▊ | 12541/70000 [4:26:04<19:52:54, 1.25s/step] Training: 18%|█▊ | 12542/70000 [4:26:05<20:17:11, 1.27s/step] Training: 18%|█▊ | 12543/70000 [4:26:06<19:54:20, 1.25s/step] Training: 18%|█▊ | 12544/70000 [4:26:08<20:16:18, 1.27s/step] Training: 18%|█▊ | 12545/70000 [4:26:09<20:34:50, 1.29s/step] Training: 18%|█▊ | 12546/70000 [4:26:10<20:07:28, 1.26s/step] Training: 18%|█▊ | 12547/70000 [4:26:11<19:58:21, 1.25s/step] Training: 18%|█▊ | 12548/70000 [4:26:13<20:19:15, 1.27s/step] Training: 18%|█▊ | 12549/70000 [4:26:14<21:17:17, 1.33s/step] Training: 18%|█▊ | 12550/70000 [4:26:16<21:17:01, 1.33s/step] Training: 18%|█▊ | 12551/70000 [4:26:17<20:37:11, 1.29s/step] Training: 18%|█▊ | 12552/70000 [4:26:18<20:18:01, 1.27s/step] Training: 18%|█▊ | 12553/70000 [4:26:19<20:37:14, 1.29s/step] Training: 18%|█▊ | 12554/70000 [4:26:21<20:09:04, 1.26s/step] Training: 18%|█▊ | 12555/70000 [4:26:22<19:54:03, 1.25s/step] Training: 18%|█▊ | 12556/70000 [4:26:23<20:19:45, 1.27s/step] Training: 18%|█▊ | 12557/70000 [4:26:24<20:45:17, 1.30s/step] Training: 18%|█▊ | 12558/70000 [4:26:26<20:47:29, 1.30s/step] Training: 18%|█▊ | 12559/70000 [4:26:27<20:14:36, 1.27s/step] Training: 18%|█▊ | 12560/70000 [4:26:28<19:56:09, 1.25s/step] Training: 18%|█▊ | 12561/70000 [4:26:29<20:17:26, 1.27s/step] Training: 18%|█▊ | 12562/70000 [4:26:31<19:55:56, 1.25s/step] Training: 18%|█▊ | 12563/70000 [4:26:32<20:19:17, 1.27s/step] Training: 18%|█▊ | 12564/70000 [4:26:33<20:35:41, 1.29s/step] Training: 18%|█▊ | 12565/70000 [4:26:35<20:06:33, 1.26s/step] Training: 18%|█▊ | 12566/70000 [4:26:36<20:31:49, 1.29s/step] Training: 18%|█▊ | 12567/70000 [4:26:37<20:01:08, 1.25s/step] Training: 18%|█▊ | 12568/70000 [4:26:38<20:24:16, 1.28s/step] Training: 18%|█▊ | 12569/70000 [4:26:40<20:04:14, 1.26s/step] Training: 18%|█▊ | 12570/70000 [4:26:41<19:45:43, 1.24s/step] Training: 18%|█▊ | 12571/70000 [4:26:42<20:13:03, 1.27s/step] Training: 18%|█▊ | 12572/70000 [4:26:43<20:08:30, 1.26s/step] Training: 18%|█▊ | 12573/70000 [4:26:45<19:46:36, 1.24s/step] Training: 18%|█▊ | 12574/70000 [4:26:46<20:44:41, 1.30s/step] Training: 18%|█▊ | 12575/70000 [4:26:47<20:11:40, 1.27s/step] Training: 18%|█▊ | 12576/70000 [4:26:49<20:29:09, 1.28s/step] Training: 18%|█▊ | 12577/70000 [4:26:50<20:42:05, 1.30s/step] Training: 18%|█▊ | 12578/70000 [4:26:51<20:12:47, 1.27s/step] Training: 18%|█▊ | 12579/70000 [4:26:52<20:02:44, 1.26s/step] Training: 18%|█▊ | 12580/70000 [4:26:54<20:21:57, 1.28s/step] Training: 18%|█▊ | 12581/70000 [4:26:55<19:56:09, 1.25s/step] Training: 18%|█▊ | 12582/70000 [4:26:56<20:53:21, 1.31s/step] Training: 18%|█▊ | 12583/70000 [4:26:57<20:19:51, 1.27s/step] Training: 18%|█▊ | 12584/70000 [4:26:59<20:05:52, 1.26s/step] Training: 18%|█▊ | 12585/70000 [4:27:00<20:26:47, 1.28s/step] Training: 18%|█▊ | 12586/70000 [4:27:01<20:01:24, 1.26s/step] Training: 18%|█▊ | 12587/70000 [4:27:02<19:45:03, 1.24s/step] Training: 18%|█▊ | 12588/70000 [4:27:04<20:15:16, 1.27s/step] Training: 18%|█▊ | 12589/70000 [4:27:05<19:51:55, 1.25s/step] Training: 18%|█▊ | 12590/70000 [4:27:06<20:26:16, 1.28s/step] Training: 18%|█▊ | 12591/70000 [4:27:08<20:42:58, 1.30s/step] Training: 18%|█▊ | 12592/70000 [4:27:09<20:22:06, 1.28s/step] Training: 18%|█▊ | 12593/70000 [4:27:10<20:02:05, 1.26s/step] Training: 18%|█▊ | 12594/70000 [4:27:11<19:42:12, 1.24s/step] Training: 18%|█▊ | 12595/70000 [4:27:13<20:09:31, 1.26s/step] Training: 18%|█▊ | 12596/70000 [4:27:14<20:44:43, 1.30s/step] Training: 18%|█▊ | 12597/70000 [4:27:15<20:13:14, 1.27s/step] Training: 18%|█▊ | 12598/70000 [4:27:16<20:07:57, 1.26s/step] Training: 18%|█▊ | 12599/70000 [4:27:18<20:35:03, 1.29s/step] Training: 18%|█▊ | 12600/70000 [4:27:19<20:04:01, 1.26s/step]INFO 2026-03-13 00:37:11 ot_train.py:435 step:13K smpl:806K ep:3K epch:10.68 loss:0.137 grdn:13.322 lr:2.3e-05 updt_s:1.242 data_s:0.019 Training: 18%|█▊ | 12601/70000 [4:27:20<20:35:07, 1.29s/step] Training: 18%|█▊ | 12602/70000 [4:27:22<20:08:31, 1.26s/step] Training: 18%|█▊ | 12603/70000 [4:27:23<20:26:32, 1.28s/step] Training: 18%|█▊ | 12604/70000 [4:27:24<20:21:33, 1.28s/step] Training: 18%|█▊ | 12605/70000 [4:27:25<19:55:40, 1.25s/step] Training: 18%|█▊ | 12606/70000 [4:27:27<20:24:47, 1.28s/step] Training: 18%|█▊ | 12607/70000 [4:27:28<20:11:02, 1.27s/step] Training: 18%|█▊ | 12608/70000 [4:27:29<19:47:03, 1.24s/step] Training: 18%|█▊ | 12609/70000 [4:27:30<19:31:05, 1.22s/step] Training: 18%|█▊ | 12610/70000 [4:27:32<19:57:37, 1.25s/step] Training: 18%|█▊ | 12611/70000 [4:27:33<19:52:55, 1.25s/step] Training: 18%|█▊ | 12612/70000 [4:27:34<20:13:14, 1.27s/step] Training: 18%|█▊ | 12613/70000 [4:27:35<19:51:12, 1.25s/step] Training: 18%|█▊ | 12614/70000 [4:27:37<20:12:43, 1.27s/step] Training: 18%|█▊ | 12615/70000 [4:27:38<20:08:48, 1.26s/step] Training: 18%|█▊ | 12616/70000 [4:27:39<19:57:52, 1.25s/step] Training: 18%|█▊ | 12617/70000 [4:27:40<20:19:54, 1.28s/step] Training: 18%|█▊ | 12618/70000 [4:27:42<19:56:05, 1.25s/step] Training: 18%|█▊ | 12619/70000 [4:27:43<19:48:50, 1.24s/step] Training: 18%|█▊ | 12620/70000 [4:27:44<20:16:58, 1.27s/step] Training: 18%|█▊ | 12621/70000 [4:27:45<19:53:13, 1.25s/step] Training: 18%|█▊ | 12622/70000 [4:27:47<20:17:52, 1.27s/step] Training: 18%|█▊ | 12623/70000 [4:27:48<19:54:11, 1.25s/step] Training: 18%|█▊ | 12624/70000 [4:27:49<20:23:03, 1.28s/step] Training: 18%|█▊ | 12625/70000 [4:27:50<20:03:01, 1.26s/step] Training: 18%|█▊ | 12626/70000 [4:27:52<19:43:32, 1.24s/step] Training: 18%|█▊ | 12627/70000 [4:27:53<20:09:16, 1.26s/step] Training: 18%|█▊ | 12628/70000 [4:27:54<20:43:34, 1.30s/step] Training: 18%|█▊ | 12629/70000 [4:27:56<20:11:13, 1.27s/step] Training: 18%|█▊ | 12630/70000 [4:27:57<19:58:02, 1.25s/step] Training: 18%|█▊ | 12631/70000 [4:27:58<19:41:50, 1.24s/step] Training: 18%|█▊ | 12632/70000 [4:27:59<20:29:15, 1.29s/step] Training: 18%|█▊ | 12633/70000 [4:28:01<20:13:34, 1.27s/step] Training: 18%|█▊ | 12634/70000 [4:28:02<19:51:25, 1.25s/step] Training: 18%|█▊ | 12635/70000 [4:28:03<20:15:00, 1.27s/step] Training: 18%|█▊ | 12636/70000 [4:28:04<20:12:26, 1.27s/step] Training: 18%|█▊ | 12637/70000 [4:28:06<19:52:07, 1.25s/step] Training: 18%|█▊ | 12638/70000 [4:28:07<20:16:27, 1.27s/step] Training: 18%|█▊ | 12639/70000 [4:28:08<19:53:05, 1.25s/step] Training: 18%|█▊ | 12640/70000 [4:28:09<20:15:30, 1.27s/step] Training: 18%|█▊ | 12641/70000 [4:28:11<20:36:55, 1.29s/step] Training: 18%|█▊ | 12642/70000 [4:28:12<20:37:05, 1.29s/step] Training: 18%|█▊ | 12643/70000 [4:28:13<20:22:22, 1.28s/step] Training: 18%|█▊ | 12644/70000 [4:28:15<20:35:39, 1.29s/step] Training: 18%|█▊ | 12645/70000 [4:28:16<20:06:07, 1.26s/step] Training: 18%|█▊ | 12646/70000 [4:28:17<20:24:18, 1.28s/step] Training: 18%|█▊ | 12647/70000 [4:28:18<19:59:14, 1.25s/step] Training: 18%|█▊ | 12648/70000 [4:28:20<20:39:00, 1.30s/step] Training: 18%|█▊ | 12649/70000 [4:28:21<20:45:49, 1.30s/step] Training: 18%|█▊ | 12650/70000 [4:28:22<20:13:15, 1.27s/step] Training: 18%|█▊ | 12651/70000 [4:28:23<19:59:13, 1.25s/step] Training: 18%|█▊ | 12652/70000 [4:28:25<20:33:41, 1.29s/step] Training: 18%|█▊ | 12653/70000 [4:28:26<20:03:42, 1.26s/step] Training: 18%|█▊ | 12654/70000 [4:28:27<20:21:30, 1.28s/step] Training: 18%|█▊ | 12655/70000 [4:28:29<19:56:39, 1.25s/step] Training: 18%|█▊ | 12656/70000 [4:28:30<19:45:32, 1.24s/step] Training: 18%|█▊ | 12657/70000 [4:28:31<20:16:27, 1.27s/step] Training: 18%|█▊ | 12658/70000 [4:28:32<19:51:25, 1.25s/step] Training: 18%|█▊ | 12659/70000 [4:28:34<19:34:57, 1.23s/step] Training: 18%|█▊ | 12660/70000 [4:28:35<20:28:43, 1.29s/step] Training: 18%|█▊ | 12661/70000 [4:28:36<20:00:29, 1.26s/step] Training: 18%|█▊ | 12662/70000 [4:28:37<19:43:38, 1.24s/step] Training: 18%|█▊ | 12663/70000 [4:28:38<19:29:28, 1.22s/step] Training: 18%|█▊ | 12664/70000 [4:28:40<19:57:42, 1.25s/step] Training: 18%|█▊ | 12665/70000 [4:28:41<20:24:08, 1.28s/step] Training: 18%|█▊ | 12666/70000 [4:28:42<19:55:12, 1.25s/step] Training: 18%|█▊ | 12667/70000 [4:28:44<19:37:25, 1.23s/step] Training: 18%|█▊ | 12668/70000 [4:28:45<19:43:36, 1.24s/step] Training: 18%|█▊ | 12669/70000 [4:28:46<19:29:38, 1.22s/step] Training: 18%|█▊ | 12670/70000 [4:28:47<19:59:25, 1.26s/step] Training: 18%|█▊ | 12671/70000 [4:28:48<19:39:57, 1.23s/step] Training: 18%|█▊ | 12672/70000 [4:28:50<20:08:54, 1.27s/step] Training: 18%|█▊ | 12673/70000 [4:28:51<19:48:17, 1.24s/step] Training: 18%|█▊ | 12674/70000 [4:28:52<20:10:38, 1.27s/step] Training: 18%|█▊ | 12675/70000 [4:28:54<19:48:25, 1.24s/step] Training: 18%|█▊ | 12676/70000 [4:28:55<20:11:22, 1.27s/step] Training: 18%|█▊ | 12677/70000 [4:28:56<19:49:33, 1.25s/step] Training: 18%|█▊ | 12678/70000 [4:28:57<20:14:08, 1.27s/step] Training: 18%|█▊ | 12679/70000 [4:28:59<19:50:34, 1.25s/step] Training: 18%|█▊ | 12680/70000 [4:29:00<19:44:20, 1.24s/step] Training: 18%|█▊ | 12681/70000 [4:29:01<20:26:39, 1.28s/step] Training: 18%|█▊ | 12682/70000 [4:29:02<20:00:07, 1.26s/step] Training: 18%|█▊ | 12683/70000 [4:29:04<19:40:22, 1.24s/step] Training: 18%|█▊ | 12684/70000 [4:29:05<20:06:59, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=46951 Training: 18%|█▊ | 12685/70000 [4:29:06<19:46:00, 1.24s/step] Training: 18%|█▊ | 12686/70000 [4:29:07<20:08:59, 1.27s/step] Training: 18%|█▊ | 12687/70000 [4:29:09<19:46:46, 1.24s/step] Training: 18%|█▊ | 12688/70000 [4:29:10<19:34:57, 1.23s/step] Training: 18%|█▊ | 12689/70000 [4:29:11<19:49:21, 1.25s/step] Training: 18%|█▊ | 12690/70000 [4:29:12<19:30:28, 1.23s/step] Training: 18%|█▊ | 12691/70000 [4:29:13<19:19:17, 1.21s/step] Training: 18%|█▊ | 12692/70000 [4:29:15<20:03:28, 1.26s/step] Training: 18%|█▊ | 12693/70000 [4:29:16<19:43:53, 1.24s/step] Training: 18%|█▊ | 12694/70000 [4:29:17<19:34:44, 1.23s/step] Training: 18%|█▊ | 12695/70000 [4:29:18<19:22:40, 1.22s/step] Training: 18%|█▊ | 12696/70000 [4:29:20<19:51:32, 1.25s/step] Training: 18%|█▊ | 12697/70000 [4:29:21<19:46:06, 1.24s/step] Training: 18%|█▊ | 12698/70000 [4:29:22<20:17:50, 1.28s/step] Training: 18%|█▊ | 12699/70000 [4:29:23<19:50:15, 1.25s/step] Training: 18%|█▊ | 12700/70000 [4:29:25<20:19:25, 1.28s/step]INFO 2026-03-13 00:39:17 ot_train.py:435 step:13K smpl:813K ep:3K epch:10.76 loss:0.143 grdn:11.958 lr:2.3e-05 updt_s:1.238 data_s:0.019 Training: 18%|█▊ | 12701/70000 [4:29:26<19:54:11, 1.25s/step] Training: 18%|█▊ | 12702/70000 [4:29:27<20:15:33, 1.27s/step] Training: 18%|█▊ | 12703/70000 [4:29:29<19:53:47, 1.25s/step] Training: 18%|█▊ | 12704/70000 [4:29:30<20:14:29, 1.27s/step] Training: 18%|█▊ | 12705/70000 [4:29:31<19:50:52, 1.25s/step] Training: 18%|█▊ | 12706/70000 [4:29:32<20:15:22, 1.27s/step] Training: 18%|█▊ | 12707/70000 [4:29:34<19:50:09, 1.25s/step] Training: 18%|█▊ | 12708/70000 [4:29:35<20:15:41, 1.27s/step] Training: 18%|█▊ | 12709/70000 [4:29:36<19:53:59, 1.25s/step] Training: 18%|█▊ | 12710/70000 [4:29:37<20:14:40, 1.27s/step] Training: 18%|█▊ | 12711/70000 [4:29:39<19:51:04, 1.25s/step] Training: 18%|█▊ | 12712/70000 [4:29:40<19:44:29, 1.24s/step] Training: 18%|█▊ | 12713/70000 [4:29:41<20:09:19, 1.27s/step] Training: 18%|█▊ | 12714/70000 [4:29:42<20:32:00, 1.29s/step] Training: 18%|█▊ | 12715/70000 [4:29:44<20:00:20, 1.26s/step] Training: 18%|█▊ | 12716/70000 [4:29:45<20:24:26, 1.28s/step] Training: 18%|█▊ | 12717/70000 [4:29:46<19:58:34, 1.26s/step] Training: 18%|█▊ | 12718/70000 [4:29:48<20:17:25, 1.28s/step] Training: 18%|█▊ | 12719/70000 [4:29:49<19:52:18, 1.25s/step] Training: 18%|█▊ | 12720/70000 [4:29:50<19:42:53, 1.24s/step] Training: 18%|█▊ | 12721/70000 [4:29:51<19:34:59, 1.23s/step] Training: 18%|█▊ | 12722/70000 [4:29:53<20:10:30, 1.27s/step] Training: 18%|█▊ | 12723/70000 [4:29:54<19:46:14, 1.24s/step] Training: 18%|█▊ | 12724/70000 [4:29:55<20:25:50, 1.28s/step] Training: 18%|█▊ | 12725/70000 [4:29:56<19:58:15, 1.26s/step] Training: 18%|█▊ | 12726/70000 [4:29:57<19:45:49, 1.24s/step] Training: 18%|█▊ | 12727/70000 [4:29:59<19:30:49, 1.23s/step] Training: 18%|█▊ | 12728/70000 [4:30:00<20:03:02, 1.26s/step] Training: 18%|█▊ | 12729/70000 [4:30:01<19:55:19, 1.25s/step] Training: 18%|█▊ | 12730/70000 [4:30:02<19:36:58, 1.23s/step] Training: 18%|█▊ | 12731/70000 [4:30:04<20:07:36, 1.27s/step] Training: 18%|█▊ | 12732/70000 [4:30:05<20:34:23, 1.29s/step] Training: 18%|█▊ | 12733/70000 [4:30:06<20:04:47, 1.26s/step] Training: 18%|█▊ | 12734/70000 [4:30:08<20:24:40, 1.28s/step] Training: 18%|█▊ | 12735/70000 [4:30:09<19:58:25, 1.26s/step] Training: 18%|█▊ | 12736/70000 [4:30:10<20:20:12, 1.28s/step] Training: 18%|█▊ | 12737/70000 [4:30:11<19:54:17, 1.25s/step] Training: 18%|█▊ | 12738/70000 [4:30:13<20:14:12, 1.27s/step] Training: 18%|█▊ | 12739/70000 [4:30:14<20:35:35, 1.29s/step] Training: 18%|█▊ | 12740/70000 [4:30:15<20:13:51, 1.27s/step] Training: 18%|█▊ | 12741/70000 [4:30:17<20:19:21, 1.28s/step] Training: 18%|█▊ | 12742/70000 [4:30:18<20:31:57, 1.29s/step] Training: 18%|█▊ | 12743/70000 [4:30:19<20:04:18, 1.26s/step] Training: 18%|█▊ | 12744/70000 [4:30:20<19:54:18, 1.25s/step] Training: 18%|█▊ | 12745/70000 [4:30:21<19:37:39, 1.23s/step] Training: 18%|█▊ | 12746/70000 [4:30:23<19:24:58, 1.22s/step] Training: 18%|█▊ | 12747/70000 [4:30:24<19:24:46, 1.22s/step] Training: 18%|█▊ | 12748/70000 [4:30:25<19:56:43, 1.25s/step] Training: 18%|█▊ | 12749/70000 [4:30:26<19:38:15, 1.23s/step] Training: 18%|█▊ | 12750/70000 [4:30:28<19:35:37, 1.23s/step] Training: 18%|█▊ | 12751/70000 [4:30:29<19:23:29, 1.22s/step] Training: 18%|█▊ | 12752/70000 [4:30:30<19:22:36, 1.22s/step] Training: 18%|█▊ | 12753/70000 [4:30:31<19:22:20, 1.22s/step] Training: 18%|█▊ | 12754/70000 [4:30:32<19:14:40, 1.21s/step] Training: 18%|█▊ | 12755/70000 [4:30:34<19:36:23, 1.23s/step] Training: 18%|█▊ | 12756/70000 [4:30:35<20:09:33, 1.27s/step] Training: 18%|█▊ | 12757/70000 [4:30:36<19:46:58, 1.24s/step] Training: 18%|█▊ | 12758/70000 [4:30:37<19:37:47, 1.23s/step] Training: 18%|█▊ | 12759/70000 [4:30:39<19:25:23, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=5547 Training: 18%|█▊ | 12760/70000 [4:30:40<19:57:11, 1.25s/step] Training: 18%|█▊ | 12761/70000 [4:30:41<19:50:35, 1.25s/step] Training: 18%|█▊ | 12762/70000 [4:30:42<19:34:59, 1.23s/step] Training: 18%|█▊ | 12763/70000 [4:30:44<19:24:14, 1.22s/step] Training: 18%|█▊ | 12764/70000 [4:30:45<20:19:50, 1.28s/step] Training: 18%|█▊ | 12765/70000 [4:30:46<19:54:15, 1.25s/step] Training: 18%|█▊ | 12766/70000 [4:30:48<20:15:39, 1.27s/step] Training: 18%|█▊ | 12767/70000 [4:30:49<19:51:30, 1.25s/step] Training: 18%|█▊ | 12768/70000 [4:30:50<20:16:34, 1.28s/step] Training: 18%|█▊ | 12769/70000 [4:30:51<19:51:22, 1.25s/step] Training: 18%|█▊ | 12770/70000 [4:30:53<20:16:26, 1.28s/step] Training: 18%|█▊ | 12771/70000 [4:30:54<19:52:25, 1.25s/step] Training: 18%|█▊ | 12772/70000 [4:30:55<20:06:40, 1.27s/step] Training: 18%|█▊ | 12773/70000 [4:30:56<20:15:25, 1.27s/step] Training: 18%|█▊ | 12774/70000 [4:30:58<20:29:43, 1.29s/step] Training: 18%|█▊ | 12775/70000 [4:30:59<20:02:23, 1.26s/step] Training: 18%|█▊ | 12776/70000 [4:31:00<19:53:36, 1.25s/step] Training: 18%|█▊ | 12777/70000 [4:31:01<19:35:38, 1.23s/step] Training: 18%|█▊ | 12778/70000 [4:31:03<20:03:47, 1.26s/step] Training: 18%|█▊ | 12779/70000 [4:31:04<19:43:14, 1.24s/step] Training: 18%|█▊ | 12780/70000 [4:31:05<20:09:35, 1.27s/step] Training: 18%|█▊ | 12781/70000 [4:31:06<19:46:48, 1.24s/step] Training: 18%|█▊ | 12782/70000 [4:31:08<19:44:25, 1.24s/step] Training: 18%|█▊ | 12783/70000 [4:31:09<19:28:11, 1.23s/step] Training: 18%|█▊ | 12784/70000 [4:31:10<19:30:21, 1.23s/step] Training: 18%|█▊ | 12785/70000 [4:31:11<19:19:15, 1.22s/step] Training: 18%|█▊ | 12786/70000 [4:31:13<19:42:02, 1.24s/step] Training: 18%|█▊ | 12787/70000 [4:31:14<19:26:59, 1.22s/step] Training: 18%|█▊ | 12788/70000 [4:31:15<20:03:04, 1.26s/step] Training: 18%|█▊ | 12789/70000 [4:31:16<20:27:58, 1.29s/step] Training: 18%|█▊ | 12790/70000 [4:31:18<20:03:03, 1.26s/step] Training: 18%|█▊ | 12791/70000 [4:31:19<19:43:14, 1.24s/step] Training: 18%|█▊ | 12792/70000 [4:31:20<20:10:46, 1.27s/step] Training: 18%|█▊ | 12793/70000 [4:31:21<19:47:13, 1.25s/step] Training: 18%|█▊ | 12794/70000 [4:31:23<19:31:30, 1.23s/step] Training: 18%|█▊ | 12795/70000 [4:31:24<19:19:45, 1.22s/step] Training: 18%|█▊ | 12796/70000 [4:31:25<20:10:06, 1.27s/step] Training: 18%|█▊ | 12797/70000 [4:31:26<20:08:07, 1.27s/step] Training: 18%|█▊ | 12798/70000 [4:31:28<20:25:57, 1.29s/step] Training: 18%|█▊ | 12799/70000 [4:31:29<20:01:11, 1.26s/step] Training: 18%|█▊ | 12800/70000 [4:31:30<20:20:15, 1.28s/step]INFO 2026-03-13 00:41:22 ot_train.py:435 step:13K smpl:819K ep:3K epch:10.85 loss:0.143 grdn:12.094 lr:2.3e-05 updt_s:1.232 data_s:0.019 Training: 18%|█▊ | 12801/70000 [4:31:31<19:54:07, 1.25s/step] Training: 18%|█▊ | 12802/70000 [4:31:33<20:15:07, 1.27s/step] Training: 18%|█▊ | 12803/70000 [4:31:34<19:51:33, 1.25s/step] Training: 18%|█▊ | 12804/70000 [4:31:35<19:44:02, 1.24s/step] Training: 18%|█▊ | 12805/70000 [4:31:36<19:55:02, 1.25s/step] Training: 18%|█▊ | 12806/70000 [4:31:38<20:51:25, 1.31s/step] Training: 18%|█▊ | 12807/70000 [4:31:39<20:16:40, 1.28s/step] Training: 18%|█▊ | 12808/70000 [4:31:40<20:01:47, 1.26s/step] Training: 18%|█▊ | 12809/70000 [4:31:41<19:41:10, 1.24s/step] Training: 18%|█▊ | 12810/70000 [4:31:43<19:31:53, 1.23s/step] Training: 18%|█▊ | 12811/70000 [4:31:44<19:20:08, 1.22s/step] Training: 18%|█▊ | 12812/70000 [4:31:45<19:52:12, 1.25s/step] Training: 18%|█▊ | 12813/70000 [4:31:47<20:32:08, 1.29s/step] Training: 18%|█▊ | 12814/70000 [4:31:48<20:12:15, 1.27s/step] Training: 18%|█▊ | 12815/70000 [4:31:49<19:49:01, 1.25s/step] Training: 18%|█▊ | 12816/70000 [4:31:50<19:39:15, 1.24s/step] Training: 18%|█▊ | 12817/70000 [4:31:51<19:26:00, 1.22s/step] Training: 18%|█▊ | 12818/70000 [4:31:53<19:35:20, 1.23s/step] Training: 18%|█▊ | 12819/70000 [4:31:54<19:23:58, 1.22s/step] Training: 18%|█▊ | 12820/70000 [4:31:55<19:59:27, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=46951 Training: 18%|█▊ | 12821/70000 [4:31:56<19:41:38, 1.24s/step] Training: 18%|█▊ | 12822/70000 [4:31:58<20:41:59, 1.30s/step] Training: 18%|█▊ | 12823/70000 [4:31:59<20:08:55, 1.27s/step] Training: 18%|█▊ | 12824/70000 [4:32:00<20:26:07, 1.29s/step] Training: 18%|█▊ | 12825/70000 [4:32:02<19:59:57, 1.26s/step] Training: 18%|█▊ | 12826/70000 [4:32:03<19:41:55, 1.24s/step] Training: 18%|█▊ | 12827/70000 [4:32:04<20:03:43, 1.26s/step] Training: 18%|█▊ | 12828/70000 [4:32:05<20:36:07, 1.30s/step] Training: 18%|█▊ | 12829/70000 [4:32:07<20:06:35, 1.27s/step] Training: 18%|█▊ | 12830/70000 [4:32:08<21:15:45, 1.34s/step] Training: 18%|█▊ | 12831/70000 [4:32:09<20:32:00, 1.29s/step] Training: 18%|█▊ | 12832/70000 [4:32:11<20:03:44, 1.26s/step] Training: 18%|█▊ | 12833/70000 [4:32:12<20:18:34, 1.28s/step] Training: 18%|█▊ | 12834/70000 [4:32:13<19:55:59, 1.26s/step] Training: 18%|█▊ | 12835/70000 [4:32:14<19:37:35, 1.24s/step] Training: 18%|█▊ | 12836/70000 [4:32:15<19:37:10, 1.24s/step] Training: 18%|█▊ | 12837/70000 [4:32:17<19:49:17, 1.25s/step] Training: 18%|█▊ | 12838/70000 [4:32:18<20:13:19, 1.27s/step] Training: 18%|█▊ | 12839/70000 [4:32:19<19:51:01, 1.25s/step] Training: 18%|█▊ | 12840/70000 [4:32:20<19:34:39, 1.23s/step] Training: 18%|█▊ | 12841/70000 [4:32:22<19:52:40, 1.25s/step] Training: 18%|█▊ | 12842/70000 [4:32:23<19:49:15, 1.25s/step] Training: 18%|█▊ | 12843/70000 [4:32:24<19:32:22, 1.23s/step] Training: 18%|█▊ | 12844/70000 [4:32:26<20:01:46, 1.26s/step] Training: 18%|█▊ | 12845/70000 [4:32:27<19:42:34, 1.24s/step] Training: 18%|█▊ | 12846/70000 [4:32:28<20:07:05, 1.27s/step] Training: 18%|█▊ | 12847/70000 [4:32:29<19:43:54, 1.24s/step] Training: 18%|█▊ | 12848/70000 [4:32:30<19:28:36, 1.23s/step] Training: 18%|█▊ | 12849/70000 [4:32:32<19:18:11, 1.22s/step] Training: 18%|█▊ | 12850/70000 [4:32:33<19:13:55, 1.21s/step] Training: 18%|█▊ | 12851/70000 [4:32:34<19:09:20, 1.21s/step] Training: 18%|█▊ | 12852/70000 [4:32:35<19:46:56, 1.25s/step] Training: 18%|█▊ | 12853/70000 [4:32:37<19:31:40, 1.23s/step] Training: 18%|█▊ | 12854/70000 [4:32:38<19:57:41, 1.26s/step] Training: 18%|█▊ | 12855/70000 [4:32:39<19:37:41, 1.24s/step] Training: 18%|█▊ | 12856/70000 [4:32:40<19:22:57, 1.22s/step] Training: 18%|█▊ | 12857/70000 [4:32:41<19:14:27, 1.21s/step] Training: 18%|█▊ | 12858/70000 [4:32:43<19:48:03, 1.25s/step] Training: 18%|█▊ | 12859/70000 [4:32:44<19:33:08, 1.23s/step] Training: 18%|█▊ | 12860/70000 [4:32:45<20:26:58, 1.29s/step] Training: 18%|█▊ | 12861/70000 [4:32:47<19:59:23, 1.26s/step] Training: 18%|█▊ | 12862/70000 [4:32:48<20:21:20, 1.28s/step] Training: 18%|█▊ | 12863/70000 [4:32:49<21:12:14, 1.34s/step] Training: 18%|█▊ | 12864/70000 [4:32:51<20:29:43, 1.29s/step] Training: 18%|█▊ | 12865/70000 [4:32:52<20:39:44, 1.30s/step] Training: 18%|█▊ | 12866/70000 [4:32:53<20:46:24, 1.31s/step] Training: 18%|█▊ | 12867/70000 [4:32:54<20:12:28, 1.27s/step] Training: 18%|█▊ | 12868/70000 [4:32:56<20:27:08, 1.29s/step] Training: 18%|█▊ | 12869/70000 [4:32:57<20:35:15, 1.30s/step] Training: 18%|█▊ | 12870/70000 [4:32:58<20:45:39, 1.31s/step] Training: 18%|█▊ | 12871/70000 [4:33:00<20:39:37, 1.30s/step] Training: 18%|█▊ | 12872/70000 [4:33:01<20:06:42, 1.27s/step] Training: 18%|█▊ | 12873/70000 [4:33:02<19:47:33, 1.25s/step] Training: 18%|█▊ | 12874/70000 [4:33:03<19:44:47, 1.24s/step] Training: 18%|█▊ | 12875/70000 [4:33:04<19:29:12, 1.23s/step] Training: 18%|█▊ | 12876/70000 [4:33:06<19:56:02, 1.26s/step] Training: 18%|█▊ | 12877/70000 [4:33:07<19:36:57, 1.24s/step] Training: 18%|█▊ | 12878/70000 [4:33:08<19:33:59, 1.23s/step] Training: 18%|█▊ | 12879/70000 [4:33:09<19:20:58, 1.22s/step] Training: 18%|█▊ | 12880/70000 [4:33:11<20:02:26, 1.26s/step] Training: 18%|█▊ | 12881/70000 [4:33:12<20:18:40, 1.28s/step] Training: 18%|█▊ | 12882/70000 [4:33:13<19:57:36, 1.26s/step] Training: 18%|█▊ | 12883/70000 [4:33:14<19:39:04, 1.24s/step] Training: 18%|█▊ | 12884/70000 [4:33:16<20:13:51, 1.28s/step] Training: 18%|█▊ | 12885/70000 [4:33:17<19:50:47, 1.25s/step] Training: 18%|█▊ | 12886/70000 [4:33:18<19:43:46, 1.24s/step] Training: 18%|█▊ | 12887/70000 [4:33:20<20:23:28, 1.29s/step] Training: 18%|█▊ | 12888/70000 [4:33:21<19:54:58, 1.26s/step] Training: 18%|█▊ | 12889/70000 [4:33:22<20:14:00, 1.28s/step] Training: 18%|█▊ | 12890/70000 [4:33:23<20:30:44, 1.29s/step] Training: 18%|█▊ | 12891/70000 [4:33:25<20:02:17, 1.26s/step] Training: 18%|█▊ | 12892/70000 [4:33:26<20:23:42, 1.29s/step] Training: 18%|█▊ | 12893/70000 [4:33:27<19:57:07, 1.26s/step] Training: 18%|█▊ | 12894/70000 [4:33:29<20:16:17, 1.28s/step] Training: 18%|█▊ | 12895/70000 [4:33:30<19:52:26, 1.25s/step] Training: 18%|█▊ | 12896/70000 [4:33:31<20:42:57, 1.31s/step] Training: 18%|█▊ | 12897/70000 [4:33:32<20:44:33, 1.31s/step] Training: 18%|█▊ | 12898/70000 [4:33:34<20:48:24, 1.31s/step] Training: 18%|█▊ | 12899/70000 [4:33:35<20:12:32, 1.27s/step] Training: 18%|█▊ | 12900/70000 [4:33:36<20:27:54, 1.29s/step]INFO 2026-03-13 00:43:28 ot_train.py:435 step:13K smpl:826K ep:3K epch:10.93 loss:0.149 grdn:12.664 lr:2.3e-05 updt_s:1.240 data_s:0.017 Training: 18%|█▊ | 12901/70000 [4:33:37<19:58:44, 1.26s/step] Training: 18%|█▊ | 12902/70000 [4:33:39<20:21:20, 1.28s/step] Training: 18%|█▊ | 12903/70000 [4:33:40<19:55:51, 1.26s/step] Training: 18%|█▊ | 12904/70000 [4:33:41<20:37:26, 1.30s/step] Training: 18%|█▊ | 12905/70000 [4:33:43<20:09:21, 1.27s/step] Training: 18%|█▊ | 12906/70000 [4:33:44<20:02:48, 1.26s/step] Training: 18%|█▊ | 12907/70000 [4:33:45<19:41:06, 1.24s/step] Training: 18%|█▊ | 12908/70000 [4:33:46<20:08:52, 1.27s/step] Training: 18%|█▊ | 12909/70000 [4:33:48<19:46:43, 1.25s/step] Training: 18%|█▊ | 12910/70000 [4:33:49<20:43:46, 1.31s/step] Training: 18%|█▊ | 12911/70000 [4:33:50<20:14:38, 1.28s/step] Training: 18%|█▊ | 12912/70000 [4:33:51<20:00:08, 1.26s/step] Training: 18%|█▊ | 12913/70000 [4:33:53<20:15:36, 1.28s/step] Training: 18%|█▊ | 12914/70000 [4:33:54<19:58:31, 1.26s/step] Training: 18%|█▊ | 12915/70000 [4:33:55<19:42:39, 1.24s/step] Training: 18%|█▊ | 12916/70000 [4:33:57<20:13:39, 1.28s/step] Training: 18%|█▊ | 12917/70000 [4:33:58<19:52:03, 1.25s/step] Training: 18%|█▊ | 12918/70000 [4:33:59<19:39:40, 1.24s/step] Training: 18%|█▊ | 12919/70000 [4:34:00<19:29:10, 1.23s/step] Training: 18%|█▊ | 12920/70000 [4:34:02<20:00:11, 1.26s/step] Training: 18%|█▊ | 12921/70000 [4:34:03<20:16:24, 1.28s/step] Training: 18%|█▊ | 12922/70000 [4:34:04<20:30:41, 1.29s/step] Training: 18%|█▊ | 12923/70000 [4:34:05<20:02:55, 1.26s/step] Training: 18%|█▊ | 12924/70000 [4:34:07<20:22:20, 1.28s/step] Training: 18%|█▊ | 12925/70000 [4:34:08<19:56:28, 1.26s/step] Training: 18%|█▊ | 12926/70000 [4:34:09<20:15:51, 1.28s/step] Training: 18%|█▊ | 12927/70000 [4:34:10<19:51:14, 1.25s/step] Training: 18%|█▊ | 12928/70000 [4:34:12<19:58:34, 1.26s/step] Training: 18%|█▊ | 12929/70000 [4:34:13<20:15:11, 1.28s/step] Training: 18%|█▊ | 12930/70000 [4:34:14<20:32:59, 1.30s/step] Training: 18%|█▊ | 12931/70000 [4:34:16<20:04:33, 1.27s/step] Training: 18%|█▊ | 12932/70000 [4:34:17<20:23:37, 1.29s/step] Training: 18%|█▊ | 12933/70000 [4:34:18<19:57:14, 1.26s/step] Training: 18%|█▊ | 12934/70000 [4:34:19<20:15:57, 1.28s/step] Training: 18%|█▊ | 12935/70000 [4:34:21<19:51:34, 1.25s/step] Training: 18%|█▊ | 12936/70000 [4:34:22<19:33:26, 1.23s/step] Training: 18%|█▊ | 12937/70000 [4:34:23<20:27:44, 1.29s/step] Training: 18%|█▊ | 12938/70000 [4:34:24<20:08:41, 1.27s/step] Training: 18%|█▊ | 12939/70000 [4:34:26<19:43:07, 1.24s/step] Training: 18%|█▊ | 12940/70000 [4:34:27<20:09:00, 1.27s/step] Training: 18%|█▊ | 12941/70000 [4:34:28<19:46:14, 1.25s/step] Training: 18%|█▊ | 12942/70000 [4:34:29<19:42:21, 1.24s/step] Training: 18%|█▊ | 12943/70000 [4:34:31<19:26:43, 1.23s/step] Training: 18%|█▊ | 12944/70000 [4:34:32<19:18:05, 1.22s/step] Training: 18%|█▊ | 12945/70000 [4:34:33<20:11:00, 1.27s/step] Training: 18%|█▊ | 12946/70000 [4:34:34<20:05:01, 1.27s/step] Training: 18%|█▊ | 12947/70000 [4:34:36<19:45:10, 1.25s/step] Training: 18%|█▊ | 12948/70000 [4:34:37<20:17:00, 1.28s/step] Training: 18%|█▊ | 12949/70000 [4:34:38<19:56:05, 1.26s/step] Training: 18%|█▊ | 12950/70000 [4:34:39<19:40:12, 1.24s/step] Training: 19%|█▊ | 12951/70000 [4:34:41<19:27:14, 1.23s/step] Training: 19%|█▊ | 12952/70000 [4:34:42<19:17:19, 1.22s/step] Training: 19%|█▊ | 12953/70000 [4:34:43<20:10:03, 1.27s/step] Training: 19%|█▊ | 12954/70000 [4:34:44<19:43:12, 1.24s/step] Training: 19%|█▊ | 12955/70000 [4:34:46<20:05:20, 1.27s/step] Training: 19%|█▊ | 12956/70000 [4:34:47<20:22:43, 1.29s/step] Training: 19%|█▊ | 12957/70000 [4:34:48<19:55:55, 1.26s/step] Training: 19%|█▊ | 12958/70000 [4:34:50<20:18:55, 1.28s/step] Training: 19%|█▊ | 12959/70000 [4:34:51<19:54:36, 1.26s/step] Training: 19%|█▊ | 12960/70000 [4:34:52<19:35:35, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=46951 Training: 19%|█▊ | 12961/70000 [4:34:53<20:45:06, 1.31s/step] Training: 19%|█▊ | 12962/70000 [4:34:55<20:09:32, 1.27s/step] Training: 19%|█▊ | 12963/70000 [4:34:56<19:46:42, 1.25s/step] Training: 19%|█▊ | 12964/70000 [4:34:57<20:09:50, 1.27s/step] Training: 19%|█▊ | 12965/70000 [4:34:58<19:47:26, 1.25s/step] Training: 19%|█▊ | 12966/70000 [4:35:00<20:09:06, 1.27s/step] Training: 19%|█▊ | 12967/70000 [4:35:01<19:49:00, 1.25s/step] Training: 19%|█▊ | 12968/70000 [4:35:02<19:31:18, 1.23s/step] Training: 19%|█▊ | 12969/70000 [4:35:03<19:25:57, 1.23s/step] Training: 19%|█▊ | 12970/70000 [4:35:05<20:25:39, 1.29s/step] Training: 19%|█▊ | 12971/70000 [4:35:06<19:59:34, 1.26s/step] Training: 19%|█▊ | 12972/70000 [4:35:07<20:18:20, 1.28s/step] Training: 19%|█▊ | 12973/70000 [4:35:08<19:53:29, 1.26s/step] Training: 19%|█▊ | 12974/70000 [4:35:10<19:48:01, 1.25s/step] Training: 19%|█▊ | 12975/70000 [4:35:11<19:30:27, 1.23s/step] Training: 19%|█▊ | 12976/70000 [4:35:12<19:18:22, 1.22s/step] Training: 19%|█▊ | 12977/70000 [4:35:13<19:50:57, 1.25s/step] Training: 19%|█▊ | 12978/70000 [4:35:15<20:43:14, 1.31s/step] Training: 19%|█▊ | 12979/70000 [4:35:16<20:10:14, 1.27s/step] Training: 19%|█▊ | 12980/70000 [4:35:18<25:41:54, 1.62s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 19%|█▊ | 12981/70000 [4:35:22<36:36:36, 2.31s/step] Training: 19%|█▊ | 12982/70000 [4:35:24<31:45:55, 2.01s/step] Training: 19%|█▊ | 12983/70000 [4:35:25<27:55:32, 1.76s/step] Training: 19%|█▊ | 12984/70000 [4:35:26<25:12:12, 1.59s/step] Training: 19%|█▊ | 12985/70000 [4:35:27<24:17:41, 1.53s/step] Training: 19%|█▊ | 12986/70000 [4:35:29<23:54:07, 1.51s/step] Training: 19%|█▊ | 12987/70000 [4:35:30<22:20:49, 1.41s/step] Training: 19%|█▊ | 12988/70000 [4:35:31<22:13:44, 1.40s/step] Training: 19%|█▊ | 12989/70000 [4:35:33<21:12:32, 1.34s/step] Training: 19%|█▊ | 12990/70000 [4:35:34<21:12:49, 1.34s/step] Training: 19%|█▊ | 12991/70000 [4:35:35<20:30:30, 1.30s/step] Training: 19%|█▊ | 12992/70000 [4:35:36<20:00:47, 1.26s/step] Training: 19%|█▊ | 12993/70000 [4:35:38<19:51:45, 1.25s/step] Training: 19%|█▊ | 12994/70000 [4:35:39<20:23:51, 1.29s/step] Training: 19%|█▊ | 12995/70000 [4:35:40<19:54:29, 1.26s/step] Training: 19%|█▊ | 12996/70000 [4:35:41<20:17:56, 1.28s/step] Training: 19%|█▊ | 12997/70000 [4:35:43<19:52:44, 1.26s/step] Training: 19%|█▊ | 12998/70000 [4:35:44<20:15:53, 1.28s/step] Training: 19%|█▊ | 12999/70000 [4:35:45<19:51:35, 1.25s/step] Training: 19%|█▊ | 13000/70000 [4:35:46<19:32:59, 1.23s/step]INFO 2026-03-13 00:45:38 ot_train.py:435 step:13K smpl:832K ep:3K epch:11.02 loss:0.133 grdn:14.306 lr:2.3e-05 updt_s:1.245 data_s:0.052 Training: 19%|█▊ | 13001/70000 [4:35:48<19:27:17, 1.23s/step] Training: 19%|█▊ | 13002/70000 [4:35:49<19:57:32, 1.26s/step] Training: 19%|█▊ | 13003/70000 [4:35:50<19:37:00, 1.24s/step] Training: 19%|█▊ | 13004/70000 [4:35:51<20:04:43, 1.27s/step] Training: 19%|█▊ | 13005/70000 [4:35:53<19:43:16, 1.25s/step] Training: 19%|█▊ | 13006/70000 [4:35:54<19:37:08, 1.24s/step] Training: 19%|█▊ | 13007/70000 [4:35:55<19:22:25, 1.22s/step] Training: 19%|█▊ | 13008/70000 [4:35:56<19:12:52, 1.21s/step] Training: 19%|█▊ | 13009/70000 [4:35:58<19:45:54, 1.25s/step] Training: 19%|█▊ | 13010/70000 [4:35:59<20:10:45, 1.27s/step] Training: 19%|█▊ | 13011/70000 [4:36:00<20:34:23, 1.30s/step] Training: 19%|█▊ | 13012/70000 [4:36:02<20:55:28, 1.32s/step] Training: 19%|█▊ | 13013/70000 [4:36:03<20:18:15, 1.28s/step] Training: 19%|█▊ | 13014/70000 [4:36:04<19:55:07, 1.26s/step] Training: 19%|█▊ | 13015/70000 [4:36:05<19:36:14, 1.24s/step] Training: 19%|█▊ | 13016/70000 [4:36:06<19:22:05, 1.22s/step] Training: 19%|█▊ | 13017/70000 [4:36:08<19:13:05, 1.21s/step] Training: 19%|█▊ | 13018/70000 [4:36:09<19:43:43, 1.25s/step] Training: 19%|█▊ | 13019/70000 [4:36:10<20:02:22, 1.27s/step] Training: 19%|█▊ | 13020/70000 [4:36:12<20:20:27, 1.29s/step] Training: 19%|█▊ | 13021/70000 [4:36:13<19:53:27, 1.26s/step] Training: 19%|█▊ | 13022/70000 [4:36:14<20:14:31, 1.28s/step] Training: 19%|█▊ | 13023/70000 [4:36:15<19:49:53, 1.25s/step] Training: 19%|█▊ | 13024/70000 [4:36:16<19:31:09, 1.23s/step] Training: 19%|█▊ | 13025/70000 [4:36:18<19:18:45, 1.22s/step] Training: 19%|█▊ | 13026/70000 [4:36:19<20:22:21, 1.29s/step] Training: 19%|█▊ | 13027/70000 [4:36:20<20:42:15, 1.31s/step] Training: 19%|█▊ | 13028/70000 [4:36:22<20:47:05, 1.31s/step] Training: 19%|█▊ | 13029/70000 [4:36:23<20:10:45, 1.28s/step] Training: 19%|█▊ | 13030/70000 [4:36:24<20:25:23, 1.29s/step] Training: 19%|█▊ | 13031/70000 [4:36:25<19:58:21, 1.26s/step] Training: 19%|█▊ | 13032/70000 [4:36:27<19:37:34, 1.24s/step] Training: 19%|█▊ | 13033/70000 [4:36:28<19:22:31, 1.22s/step] Training: 19%|█▊ | 13034/70000 [4:36:29<19:53:55, 1.26s/step] Training: 19%|█▊ | 13035/70000 [4:36:30<19:34:11, 1.24s/step] Training: 19%|█▊ | 13036/70000 [4:36:32<20:33:42, 1.30s/step] Training: 19%|█▊ | 13037/70000 [4:36:33<20:02:33, 1.27s/step] Training: 19%|█▊ | 13038/70000 [4:36:34<19:52:51, 1.26s/step] Training: 19%|█▊ | 13039/70000 [4:36:35<19:33:24, 1.24s/step] Training: 19%|█▊ | 13040/70000 [4:36:37<19:19:31, 1.22s/step] Training: 19%|█▊ | 13041/70000 [4:36:38<19:09:44, 1.21s/step] Training: 19%|█▊ | 13042/70000 [4:36:39<20:15:30, 1.28s/step] Training: 19%|█▊ | 13043/70000 [4:36:40<19:49:42, 1.25s/step] Training: 19%|█▊ | 13044/70000 [4:36:42<20:45:38, 1.31s/step] Training: 19%|█▊ | 13045/70000 [4:36:43<20:11:49, 1.28s/step] Training: 19%|█▊ | 13046/70000 [4:36:44<19:53:10, 1.26s/step] Training: 19%|█▊ | 13047/70000 [4:36:45<19:35:05, 1.24s/step] Training: 19%|█▊ | 13048/70000 [4:36:47<19:21:12, 1.22s/step] Training: 19%|█▊ | 13049/70000 [4:36:48<19:11:08, 1.21s/step] Training: 19%|█▊ | 13050/70000 [4:36:49<19:42:22, 1.25s/step] Training: 19%|█▊ | 13051/70000 [4:36:50<19:25:37, 1.23s/step] Training: 19%|█▊ | 13052/70000 [4:36:52<19:54:16, 1.26s/step] Training: 19%|█▊ | 13053/70000 [4:36:53<19:34:44, 1.24s/step] Training: 19%|█▊ | 13054/70000 [4:36:54<20:00:43, 1.27s/step] Training: 19%|█▊ | 13055/70000 [4:36:55<19:40:16, 1.24s/step] Training: 19%|█▊ | 13056/70000 [4:36:57<19:24:40, 1.23s/step] Training: 19%|█▊ | 13057/70000 [4:36:58<19:13:38, 1.22s/step] Training: 19%|█▊ | 13058/70000 [4:36:59<19:45:31, 1.25s/step] Training: 19%|█▊ | 13059/70000 [4:37:00<19:29:19, 1.23s/step] Training: 19%|█▊ | 13060/70000 [4:37:02<20:07:35, 1.27s/step] Training: 19%|█▊ | 13061/70000 [4:37:03<19:43:49, 1.25s/step] Training: 19%|█▊ | 13062/70000 [4:37:04<20:07:29, 1.27s/step] Training: 19%|█▊ | 13063/70000 [4:37:05<19:44:58, 1.25s/step] Training: 19%|█▊ | 13064/70000 [4:37:07<19:28:26, 1.23s/step] Training: 19%|█▊ | 13065/70000 [4:37:08<19:16:53, 1.22s/step] Training: 19%|█▊ | 13066/70000 [4:37:09<19:47:48, 1.25s/step] Training: 19%|█▊ | 13067/70000 [4:37:10<19:30:56, 1.23s/step] Training: 19%|█▊ | 13068/70000 [4:37:12<20:02:08, 1.27s/step] Training: 19%|█▊ | 13069/70000 [4:37:13<19:40:42, 1.24s/step] Training: 19%|█▊ | 13070/70000 [4:37:14<19:35:57, 1.24s/step] Training: 19%|█▊ | 13071/70000 [4:37:15<19:20:56, 1.22s/step] Training: 19%|█▊ | 13072/70000 [4:37:16<19:11:18, 1.21s/step] Training: 19%|█▊ | 13073/70000 [4:37:18<19:04:57, 1.21s/step] Training: 19%|█▊ | 13074/70000 [4:37:19<19:41:23, 1.25s/step] Training: 19%|█▊ | 13075/70000 [4:37:20<19:25:46, 1.23s/step] Training: 19%|█▊ | 13076/70000 [4:37:22<20:04:56, 1.27s/step] Training: 19%|█▊ | 13077/70000 [4:37:23<20:25:08, 1.29s/step] Training: 19%|█▊ | 13078/70000 [4:37:24<20:06:07, 1.27s/step] Training: 19%|█▊ | 13079/70000 [4:37:25<19:43:03, 1.25s/step] Training: 19%|█▊ | 13080/70000 [4:37:26<19:27:20, 1.23s/step] Training: 19%|█▊ | 13081/70000 [4:37:28<19:15:26, 1.22s/step] Training: 19%|█▊ | 13082/70000 [4:37:29<19:45:33, 1.25s/step] Training: 19%|█▊ | 13083/70000 [4:37:30<19:29:22, 1.23s/step] Training: 19%|█▊ | 13084/70000 [4:37:32<20:14:55, 1.28s/step] Training: 19%|█▊ | 13085/70000 [4:37:33<20:07:37, 1.27s/step] Training: 19%|█▊ | 13086/70000 [4:37:34<19:43:33, 1.25s/step] Training: 19%|█▊ | 13087/70000 [4:37:35<20:06:48, 1.27s/step] Training: 19%|█▊ | 13088/70000 [4:37:37<19:46:01, 1.25s/step] Training: 19%|█▊ | 13089/70000 [4:37:38<19:28:56, 1.23s/step] Training: 19%|█▊ | 13090/70000 [4:37:39<19:57:05, 1.26s/step] Training: 19%|█▊ | 13091/70000 [4:37:40<19:36:19, 1.24s/step] Training: 19%|█▊ | 13092/70000 [4:37:42<20:01:08, 1.27s/step] Training: 19%|█▊ | 13093/70000 [4:37:43<19:38:52, 1.24s/step] Training: 19%|█▊ | 13094/70000 [4:37:44<20:06:13, 1.27s/step] Training: 19%|█▊ | 13095/70000 [4:37:45<19:41:40, 1.25s/step] Training: 19%|█▊ | 13096/70000 [4:37:46<19:25:36, 1.23s/step] Training: 19%|█▊ | 13097/70000 [4:37:48<19:13:45, 1.22s/step] Training: 19%|█▊ | 13098/70000 [4:37:49<19:46:07, 1.25s/step] Training: 19%|█▊ | 13099/70000 [4:37:50<19:31:56, 1.24s/step] Training: 19%|█▊ | 13100/70000 [4:37:52<20:00:22, 1.27s/step]INFO 2026-03-13 00:47:44 ot_train.py:435 step:13K smpl:838K ep:3K epch:11.10 loss:0.119 grdn:11.039 lr:2.3e-05 updt_s:1.231 data_s:0.019 Training: 19%|█▊ | 13101/70000 [4:37:53<20:27:08, 1.29s/step] Training: 19%|█▊ | 13102/70000 [4:37:54<20:04:34, 1.27s/step] Training: 19%|█▊ | 13103/70000 [4:37:55<19:40:24, 1.24s/step] Training: 19%|█▊ | 13104/70000 [4:37:56<19:24:04, 1.23s/step] Training: 19%|█▊ | 13105/70000 [4:37:58<19:13:36, 1.22s/step] Training: 19%|█▊ | 13106/70000 [4:37:59<19:58:22, 1.26s/step] Training: 19%|█▊ | 13107/70000 [4:38:00<19:37:01, 1.24s/step] Training: 19%|█▊ | 13108/70000 [4:38:02<20:12:06, 1.28s/step] Training: 19%|█▊ | 13109/70000 [4:38:03<19:49:28, 1.25s/step] Training: 19%|█▊ | 13110/70000 [4:38:04<20:42:15, 1.31s/step] Training: 19%|█▊ | 13111/70000 [4:38:05<20:07:08, 1.27s/step] Training: 19%|█▊ | 13112/70000 [4:38:07<19:43:29, 1.25s/step] Training: 19%|█▊ | 13113/70000 [4:38:08<19:26:37, 1.23s/step] Training: 19%|█▊ | 13114/70000 [4:38:09<19:52:49, 1.26s/step] Training: 19%|█▊ | 13115/70000 [4:38:10<19:33:25, 1.24s/step] Training: 19%|█▊ | 13116/70000 [4:38:12<20:11:26, 1.28s/step] Training: 19%|█▊ | 13117/70000 [4:38:13<19:47:32, 1.25s/step] Training: 19%|█▊ | 13118/70000 [4:38:14<20:41:57, 1.31s/step] Training: 19%|█▊ | 13119/70000 [4:38:16<20:07:57, 1.27s/step] Training: 19%|█▊ | 13120/70000 [4:38:17<19:44:01, 1.25s/step] Training: 19%|█▊ | 13121/70000 [4:38:18<19:27:15, 1.23s/step] Training: 19%|█▊ | 13122/70000 [4:38:19<19:55:59, 1.26s/step] Training: 19%|█▊ | 13123/70000 [4:38:20<19:37:40, 1.24s/step] Training: 19%|█▊ | 13124/70000 [4:38:22<20:09:00, 1.28s/step] Training: 19%|█▉ | 13125/70000 [4:38:23<19:45:29, 1.25s/step] Training: 19%|█▉ | 13126/70000 [4:38:24<20:11:06, 1.28s/step] Training: 19%|█▉ | 13127/70000 [4:38:26<19:46:49, 1.25s/step] Training: 19%|█▉ | 13128/70000 [4:38:27<19:30:45, 1.24s/step] Training: 19%|█▉ | 13129/70000 [4:38:28<19:18:03, 1.22s/step] Training: 19%|█▉ | 13130/70000 [4:38:29<19:50:36, 1.26s/step] Training: 19%|█▉ | 13131/70000 [4:38:30<19:31:24, 1.24s/step] Training: 19%|█▉ | 13132/70000 [4:38:32<20:00:11, 1.27s/step] Training: 19%|█▉ | 13133/70000 [4:38:33<19:38:26, 1.24s/step] Training: 19%|█▉ | 13134/70000 [4:38:34<19:44:51, 1.25s/step] Training: 19%|█▉ | 13135/70000 [4:38:35<19:30:03, 1.23s/step] Training: 19%|█▉ | 13136/70000 [4:38:37<19:17:00, 1.22s/step] Training: 19%|█▉ | 13137/70000 [4:38:38<19:08:03, 1.21s/step] Training: 19%|█▉ | 13138/70000 [4:38:39<19:53:26, 1.26s/step] Training: 19%|█▉ | 13139/70000 [4:38:40<19:34:20, 1.24s/step] Training: 19%|█▉ | 13140/70000 [4:38:42<20:11:47, 1.28s/step] Training: 19%|█▉ | 13141/70000 [4:38:43<20:23:26, 1.29s/step] Training: 19%|█▉ | 13142/70000 [4:38:44<20:09:19, 1.28s/step] Training: 19%|█▉ | 13143/70000 [4:38:45<19:43:59, 1.25s/step] Training: 19%|█▉ | 13144/70000 [4:38:47<19:26:39, 1.23s/step] Training: 19%|█▉ | 13145/70000 [4:38:48<19:14:18, 1.22s/step] Training: 19%|█▉ | 13146/70000 [4:38:49<19:47:46, 1.25s/step] Training: 19%|█▉ | 13147/70000 [4:38:50<19:33:48, 1.24s/step] Training: 19%|█▉ | 13148/70000 [4:38:52<19:57:28, 1.26s/step] Training: 19%|█▉ | 13149/70000 [4:38:53<20:14:26, 1.28s/step] Training: 19%|█▉ | 13150/70000 [4:38:54<20:29:01, 1.30s/step] Training: 19%|█▉ | 13151/70000 [4:38:56<20:47:32, 1.32s/step] Training: 19%|█▉ | 13152/70000 [4:38:57<20:07:58, 1.27s/step] Training: 19%|█▉ | 13153/70000 [4:38:58<19:43:46, 1.25s/step] Training: 19%|█▉ | 13154/70000 [4:38:59<20:09:09, 1.28s/step] Training: 19%|█▉ | 13155/70000 [4:39:01<19:44:24, 1.25s/step] Training: 19%|█▉ | 13156/70000 [4:39:02<20:09:52, 1.28s/step] Training: 19%|█▉ | 13157/70000 [4:39:03<20:21:42, 1.29s/step] Training: 19%|█▉ | 13158/70000 [4:39:05<20:34:48, 1.30s/step] Training: 19%|█▉ | 13159/70000 [4:39:06<20:30:56, 1.30s/step] Training: 19%|█▉ | 13160/70000 [4:39:07<19:59:28, 1.27s/step] Training: 19%|█▉ | 13161/70000 [4:39:08<19:36:56, 1.24s/step] Training: 19%|█▉ | 13162/70000 [4:39:10<20:01:30, 1.27s/step] Training: 19%|█▉ | 13163/70000 [4:39:11<19:39:31, 1.25s/step] Training: 19%|█▉ | 13164/70000 [4:39:12<20:00:18, 1.27s/step] Training: 19%|█▉ | 13165/70000 [4:39:13<20:17:19, 1.29s/step] Training: 19%|█▉ | 13166/70000 [4:39:15<20:01:33, 1.27s/step] Training: 19%|█▉ | 13167/70000 [4:39:16<20:24:32, 1.29s/step] Training: 19%|█▉ | 13168/70000 [4:39:17<19:52:04, 1.26s/step] Training: 19%|█▉ | 13169/70000 [4:39:18<19:33:27, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=65558 Training: 19%|█▉ | 13170/70000 [4:39:20<20:11:18, 1.28s/step] Training: 19%|█▉ | 13171/70000 [4:39:21<19:45:32, 1.25s/step] Training: 19%|█▉ | 13172/70000 [4:39:22<20:22:21, 1.29s/step] Training: 19%|█▉ | 13173/70000 [4:39:24<19:54:20, 1.26s/step] Training: 19%|█▉ | 13174/70000 [4:39:25<20:10:04, 1.28s/step] Training: 19%|█▉ | 13175/70000 [4:39:26<20:36:18, 1.31s/step] Training: 19%|█▉ | 13176/70000 [4:39:27<19:59:52, 1.27s/step] Training: 19%|█▉ | 13177/70000 [4:39:29<19:37:18, 1.24s/step] Training: 19%|█▉ | 13178/70000 [4:39:30<20:04:02, 1.27s/step] Training: 19%|█▉ | 13179/70000 [4:39:31<19:39:54, 1.25s/step] Training: 19%|█▉ | 13180/70000 [4:39:32<20:11:51, 1.28s/step] Training: 19%|█▉ | 13181/70000 [4:39:34<19:46:03, 1.25s/step] Training: 19%|█▉ | 13182/70000 [4:39:35<20:31:15, 1.30s/step] Training: 19%|█▉ | 13183/70000 [4:39:36<20:00:43, 1.27s/step] Training: 19%|█▉ | 13184/70000 [4:39:38<20:23:26, 1.29s/step] Training: 19%|█▉ | 13185/70000 [4:39:39<19:52:44, 1.26s/step] Training: 19%|█▉ | 13186/70000 [4:39:40<20:14:39, 1.28s/step] Training: 19%|█▉ | 13187/70000 [4:39:41<19:48:59, 1.26s/step] Training: 19%|█▉ | 13188/70000 [4:39:43<20:12:52, 1.28s/step] Training: 19%|█▉ | 13189/70000 [4:39:44<19:46:31, 1.25s/step] Training: 19%|█▉ | 13190/70000 [4:39:45<20:07:57, 1.28s/step] Training: 19%|█▉ | 13191/70000 [4:39:46<19:45:50, 1.25s/step] Training: 19%|█▉ | 13192/70000 [4:39:48<20:13:41, 1.28s/step] Training: 19%|█▉ | 13193/70000 [4:39:49<19:44:45, 1.25s/step] Training: 19%|█▉ | 13194/70000 [4:39:50<20:10:05, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=18672 Training: 19%|█▉ | 13195/70000 [4:39:51<19:44:41, 1.25s/step] Training: 19%|█▉ | 13196/70000 [4:39:53<20:04:33, 1.27s/step] Training: 19%|█▉ | 13197/70000 [4:39:54<19:42:30, 1.25s/step] Training: 19%|█▉ | 13198/70000 [4:39:55<20:07:36, 1.28s/step] Training: 19%|█▉ | 13199/70000 [4:39:56<19:44:04, 1.25s/step] Training: 19%|█▉ | 13200/70000 [4:39:58<19:35:12, 1.24s/step]INFO 2026-03-13 00:49:50 ot_train.py:435 step:13K smpl:845K ep:3K epch:11.19 loss:0.115 grdn:10.839 lr:2.3e-05 updt_s:1.241 data_s:0.019 Training: 19%|█▉ | 13201/70000 [4:39:59<19:21:17, 1.23s/step] Training: 19%|█▉ | 13202/70000 [4:40:00<20:01:38, 1.27s/step] Training: 19%|█▉ | 13203/70000 [4:40:01<19:39:11, 1.25s/step] Training: 19%|█▉ | 13204/70000 [4:40:03<20:16:48, 1.29s/step] Training: 19%|█▉ | 13205/70000 [4:40:04<19:51:42, 1.26s/step] Training: 19%|█▉ | 13206/70000 [4:40:05<19:41:54, 1.25s/step] Training: 19%|█▉ | 13207/70000 [4:40:06<19:24:59, 1.23s/step] Training: 19%|█▉ | 13208/70000 [4:40:08<20:05:55, 1.27s/step] Training: 19%|█▉ | 13209/70000 [4:40:09<19:38:51, 1.25s/step] Training: 19%|█▉ | 13210/70000 [4:40:10<20:00:01, 1.27s/step] Training: 19%|█▉ | 13211/70000 [4:40:12<19:38:04, 1.24s/step] Training: 19%|█▉ | 13212/70000 [4:40:13<20:14:26, 1.28s/step] Training: 19%|█▉ | 13213/70000 [4:40:14<19:47:53, 1.26s/step] Training: 19%|█▉ | 13214/70000 [4:40:15<20:09:01, 1.28s/step] Training: 19%|█▉ | 13215/70000 [4:40:17<19:45:31, 1.25s/step] Training: 19%|█▉ | 13216/70000 [4:40:18<19:42:11, 1.25s/step] Training: 19%|█▉ | 13217/70000 [4:40:19<19:22:27, 1.23s/step] Training: 19%|█▉ | 13218/70000 [4:40:20<19:16:42, 1.22s/step] Training: 19%|█▉ | 13219/70000 [4:40:22<19:38:50, 1.25s/step] Training: 19%|█▉ | 13220/70000 [4:40:23<20:13:58, 1.28s/step] Training: 19%|█▉ | 13221/70000 [4:40:24<19:47:31, 1.25s/step] Training: 19%|█▉ | 13222/70000 [4:40:25<20:13:51, 1.28s/step] Training: 19%|█▉ | 13223/70000 [4:40:27<19:47:18, 1.25s/step] Training: 19%|█▉ | 13224/70000 [4:40:28<19:28:33, 1.23s/step] Training: 19%|█▉ | 13225/70000 [4:40:29<19:59:40, 1.27s/step] Training: 19%|█▉ | 13226/70000 [4:40:30<20:17:14, 1.29s/step] Training: 19%|█▉ | 13227/70000 [4:40:32<19:49:00, 1.26s/step] Training: 19%|█▉ | 13228/70000 [4:40:33<20:14:08, 1.28s/step] Training: 19%|█▉ | 13229/70000 [4:40:34<19:47:37, 1.26s/step] Training: 19%|█▉ | 13230/70000 [4:40:36<20:05:51, 1.27s/step] Training: 19%|█▉ | 13231/70000 [4:40:37<20:19:55, 1.29s/step] Training: 19%|█▉ | 13232/70000 [4:40:38<19:51:46, 1.26s/step] Training: 19%|█▉ | 13233/70000 [4:40:39<20:05:16, 1.27s/step] Training: 19%|█▉ | 13234/70000 [4:40:41<20:24:50, 1.29s/step] Training: 19%|█▉ | 13235/70000 [4:40:42<19:55:39, 1.26s/step] Training: 19%|█▉ | 13236/70000 [4:40:43<20:25:20, 1.30s/step] Training: 19%|█▉ | 13237/70000 [4:40:44<19:55:28, 1.26s/step] Training: 19%|█▉ | 13238/70000 [4:40:46<19:47:50, 1.26s/step] Training: 19%|█▉ | 13239/70000 [4:40:47<20:08:13, 1.28s/step] Training: 19%|█▉ | 13240/70000 [4:40:48<19:43:03, 1.25s/step] Training: 19%|█▉ | 13241/70000 [4:40:50<20:12:49, 1.28s/step] Training: 19%|█▉ | 13242/70000 [4:40:51<20:20:33, 1.29s/step] Training: 19%|█▉ | 13243/70000 [4:40:52<19:51:59, 1.26s/step] Training: 19%|█▉ | 13244/70000 [4:40:53<20:22:47, 1.29s/step] Training: 19%|█▉ | 13245/70000 [4:40:55<19:53:03, 1.26s/step] Training: 19%|█▉ | 13246/70000 [4:40:56<20:12:47, 1.28s/step] Training: 19%|█▉ | 13247/70000 [4:40:57<19:46:29, 1.25s/step] Training: 19%|█▉ | 13248/70000 [4:40:58<19:28:04, 1.23s/step] Training: 19%|█▉ | 13249/70000 [4:41:00<19:15:00, 1.22s/step] Training: 19%|█▉ | 13250/70000 [4:41:01<19:50:46, 1.26s/step] Training: 19%|█▉ | 13251/70000 [4:41:02<20:10:07, 1.28s/step] Training: 19%|█▉ | 13252/70000 [4:41:04<20:37:39, 1.31s/step] Training: 19%|█▉ | 13253/70000 [4:41:05<20:03:32, 1.27s/step] Training: 19%|█▉ | 13254/70000 [4:41:06<20:18:08, 1.29s/step] Training: 19%|█▉ | 13255/70000 [4:41:07<19:51:10, 1.26s/step] Training: 19%|█▉ | 13256/70000 [4:41:08<19:34:25, 1.24s/step] Training: 19%|█▉ | 13257/70000 [4:41:10<19:17:43, 1.22s/step] Training: 19%|█▉ | 13258/70000 [4:41:11<20:19:07, 1.29s/step] Training: 19%|█▉ | 13259/70000 [4:41:12<20:31:16, 1.30s/step] Training: 19%|█▉ | 13260/70000 [4:41:14<20:41:12, 1.31s/step] Training: 19%|█▉ | 13261/70000 [4:41:15<20:06:25, 1.28s/step] Training: 19%|█▉ | 13262/70000 [4:41:16<19:53:24, 1.26s/step] Training: 19%|█▉ | 13263/70000 [4:41:17<19:32:40, 1.24s/step] Training: 19%|█▉ | 13264/70000 [4:41:19<19:17:57, 1.22s/step] Training: 19%|█▉ | 13265/70000 [4:41:20<19:08:03, 1.21s/step] Training: 19%|█▉ | 13266/70000 [4:41:21<19:39:12, 1.25s/step] Training: 19%|█▉ | 13267/70000 [4:41:22<19:53:05, 1.26s/step] Training: 19%|█▉ | 13268/70000 [4:41:24<20:25:09, 1.30s/step] Training: 19%|█▉ | 13269/70000 [4:41:25<19:55:25, 1.26s/step] Training: 19%|█▉ | 13270/70000 [4:41:26<19:45:43, 1.25s/step] Training: 19%|█▉ | 13271/70000 [4:41:27<19:27:39, 1.23s/step] Training: 19%|█▉ | 13272/70000 [4:41:29<19:13:24, 1.22s/step] Training: 19%|█▉ | 13273/70000 [4:41:30<19:04:17, 1.21s/step] Training: 19%|█▉ | 13274/70000 [4:41:31<20:08:14, 1.28s/step] Training: 19%|█▉ | 13275/70000 [4:41:32<19:42:46, 1.25s/step] Training: 19%|█▉ | 13276/70000 [4:41:34<20:15:25, 1.29s/step] Training: 19%|█▉ | 13277/70000 [4:41:35<19:47:56, 1.26s/step] Training: 19%|█▉ | 13278/70000 [4:41:36<20:08:01, 1.28s/step] Training: 19%|█▉ | 13279/70000 [4:41:37<19:44:40, 1.25s/step] Training: 19%|█▉ | 13280/70000 [4:41:39<19:25:27, 1.23s/step] Training: 19%|█▉ | 13281/70000 [4:41:40<19:12:57, 1.22s/step] Training: 19%|█▉ | 13282/70000 [4:41:41<19:51:05, 1.26s/step] Training: 19%|█▉ | 13283/70000 [4:41:42<19:28:43, 1.24s/step] Training: 19%|█▉ | 13284/70000 [4:41:44<20:07:23, 1.28s/step] Training: 19%|█▉ | 13285/70000 [4:41:45<19:42:21, 1.25s/step] Training: 19%|█▉ | 13286/70000 [4:41:46<20:03:23, 1.27s/step] Training: 19%|█▉ | 13287/70000 [4:41:47<19:39:02, 1.25s/step] Training: 19%|█▉ | 13288/70000 [4:41:49<19:23:34, 1.23s/step] Training: 19%|█▉ | 13289/70000 [4:41:50<19:11:29, 1.22s/step] Training: 19%|█▉ | 13290/70000 [4:41:51<19:42:14, 1.25s/step] Training: 19%|█▉ | 13291/70000 [4:41:52<19:37:40, 1.25s/step] Training: 19%|█▉ | 13292/70000 [4:41:54<20:06:34, 1.28s/step] Training: 19%|█▉ | 13293/70000 [4:41:55<19:40:56, 1.25s/step] Training: 19%|█▉ | 13294/70000 [4:41:56<19:36:06, 1.24s/step] Training: 19%|█▉ | 13295/70000 [4:41:57<19:20:36, 1.23s/step] Training: 19%|█▉ | 13296/70000 [4:41:58<19:09:52, 1.22s/step] Training: 19%|█▉ | 13297/70000 [4:42:00<19:01:02, 1.21s/step] Training: 19%|█▉ | 13298/70000 [4:42:01<19:33:53, 1.24s/step] Training: 19%|█▉ | 13299/70000 [4:42:02<20:06:06, 1.28s/step] Training: 19%|█▉ | 13300/70000 [4:42:04<20:30:13, 1.30s/step]INFO 2026-03-13 00:51:56 ot_train.py:435 step:13K smpl:851K ep:3K epch:11.27 loss:0.110 grdn:10.802 lr:2.3e-05 updt_s:1.239 data_s:0.019 Training: 19%|█▉ | 13301/70000 [4:42:05<19:59:41, 1.27s/step] Training: 19%|█▉ | 13302/70000 [4:42:06<19:52:05, 1.26s/step] Training: 19%|█▉ | 13303/70000 [4:42:07<19:33:12, 1.24s/step] Training: 19%|█▉ | 13304/70000 [4:42:09<19:17:54, 1.23s/step] Training: 19%|█▉ | 13305/70000 [4:42:10<19:07:22, 1.21s/step] Training: 19%|█▉ | 13306/70000 [4:42:11<19:10:08, 1.22s/step] Training: 19%|█▉ | 13307/70000 [4:42:12<20:08:16, 1.28s/step] Training: 19%|█▉ | 13308/70000 [4:42:14<20:32:36, 1.30s/step] Training: 19%|█▉ | 13309/70000 [4:42:15<19:59:57, 1.27s/step] Training: 19%|█▉ | 13310/70000 [4:42:16<20:19:21, 1.29s/step] Training: 19%|█▉ | 13311/70000 [4:42:17<19:51:03, 1.26s/step] Training: 19%|█▉ | 13312/70000 [4:42:19<19:30:57, 1.24s/step] Training: 19%|█▉ | 13313/70000 [4:42:20<19:18:25, 1.23s/step] Training: 19%|█▉ | 13314/70000 [4:42:21<19:12:34, 1.22s/step] Training: 19%|█▉ | 13315/70000 [4:42:22<19:50:00, 1.26s/step] Training: 19%|█▉ | 13316/70000 [4:42:24<20:15:39, 1.29s/step] Training: 19%|█▉ | 13317/70000 [4:42:25<19:48:13, 1.26s/step] Training: 19%|█▉ | 13318/70000 [4:42:26<20:10:08, 1.28s/step] Training: 19%|█▉ | 13319/70000 [4:42:27<19:43:52, 1.25s/step] Training: 19%|█▉ | 13320/70000 [4:42:29<19:24:46, 1.23s/step] Training: 19%|█▉ | 13321/70000 [4:42:30<19:12:18, 1.22s/step] Training: 19%|█▉ | 13322/70000 [4:42:31<19:42:28, 1.25s/step] Training: 19%|█▉ | 13323/70000 [4:42:32<19:38:07, 1.25s/step] Training: 19%|█▉ | 13324/70000 [4:42:34<20:32:34, 1.30s/step] Training: 19%|█▉ | 13325/70000 [4:42:35<20:00:46, 1.27s/step] Training: 19%|█▉ | 13326/70000 [4:42:36<19:47:00, 1.26s/step] Training: 19%|█▉ | 13327/70000 [4:42:37<19:27:38, 1.24s/step] Training: 19%|█▉ | 13328/70000 [4:42:39<19:13:52, 1.22s/step] Training: 19%|█▉ | 13329/70000 [4:42:40<19:03:51, 1.21s/step] Training: 19%|█▉ | 13330/70000 [4:42:41<19:35:16, 1.24s/step] Training: 19%|█▉ | 13331/70000 [4:42:42<19:25:31, 1.23s/step] Training: 19%|█▉ | 13332/70000 [4:42:44<20:25:33, 1.30s/step] Training: 19%|█▉ | 13333/70000 [4:42:45<19:55:20, 1.27s/step] Training: 19%|█▉ | 13334/70000 [4:42:46<19:42:08, 1.25s/step] Training: 19%|█▉ | 13335/70000 [4:42:47<19:23:59, 1.23s/step] Training: 19%|█▉ | 13336/70000 [4:42:49<19:14:01, 1.22s/step] Training: 19%|█▉ | 13337/70000 [4:42:50<19:06:41, 1.21s/step] Training: 19%|█▉ | 13338/70000 [4:42:51<19:11:26, 1.22s/step] Training: 19%|█▉ | 13339/70000 [4:42:52<19:00:47, 1.21s/step] Training: 19%|█▉ | 13340/70000 [4:42:54<20:09:26, 1.28s/step] Training: 19%|█▉ | 13341/70000 [4:42:55<19:43:15, 1.25s/step] Training: 19%|█▉ | 13342/70000 [4:42:56<20:05:07, 1.28s/step] Training: 19%|█▉ | 13343/70000 [4:42:57<20:13:41, 1.29s/step] Training: 19%|█▉ | 13344/70000 [4:42:59<19:49:53, 1.26s/step] Training: 19%|█▉ | 13345/70000 [4:43:00<19:29:47, 1.24s/step] Training: 19%|█▉ | 13346/70000 [4:43:01<19:26:23, 1.24s/step] Training: 19%|█▉ | 13347/70000 [4:43:02<19:55:52, 1.27s/step] Training: 19%|█▉ | 13348/70000 [4:43:04<20:21:30, 1.29s/step] Training: 19%|█▉ | 13349/70000 [4:43:05<19:52:36, 1.26s/step] Training: 19%|█▉ | 13350/70000 [4:43:06<20:11:54, 1.28s/step] Training: 19%|█▉ | 13351/70000 [4:43:08<20:23:19, 1.30s/step] Training: 19%|█▉ | 13352/70000 [4:43:09<19:53:22, 1.26s/step] Training: 19%|█▉ | 13353/70000 [4:43:10<19:31:02, 1.24s/step] Training: 19%|█▉ | 13354/70000 [4:43:11<19:54:29, 1.27s/step] Training: 19%|█▉ | 13355/70000 [4:43:13<19:39:17, 1.25s/step] Training: 19%|█▉ | 13356/70000 [4:43:14<20:00:28, 1.27s/step] Training: 19%|█▉ | 13357/70000 [4:43:15<19:38:13, 1.25s/step] Training: 19%|█▉ | 13358/70000 [4:43:16<19:31:48, 1.24s/step] Training: 19%|█▉ | 13359/70000 [4:43:18<19:42:50, 1.25s/step] Training: 19%|█▉ | 13360/70000 [4:43:19<19:25:37, 1.23s/step] Training: 19%|█▉ | 13361/70000 [4:43:20<19:13:56, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=65558 Training: 19%|█▉ | 13362/70000 [4:43:21<19:42:01, 1.25s/step] Training: 19%|█▉ | 13363/70000 [4:43:23<19:43:21, 1.25s/step] Training: 19%|█▉ | 13364/70000 [4:43:24<20:14:48, 1.29s/step] Training: 19%|█▉ | 13365/70000 [4:43:25<20:29:33, 1.30s/step] Training: 19%|█▉ | 13366/70000 [4:43:26<19:59:08, 1.27s/step] Training: 19%|█▉ | 13367/70000 [4:43:28<19:37:24, 1.25s/step] Training: 19%|█▉ | 13368/70000 [4:43:29<19:20:30, 1.23s/step] Training: 19%|█▉ | 13369/70000 [4:43:30<19:09:30, 1.22s/step] Training: 19%|█▉ | 13370/70000 [4:43:31<19:03:27, 1.21s/step] Training: 19%|█▉ | 13371/70000 [4:43:32<18:57:13, 1.20s/step] Training: 19%|█▉ | 13372/70000 [4:43:34<19:36:37, 1.25s/step] Training: 19%|█▉ | 13373/70000 [4:43:35<19:40:38, 1.25s/step] Training: 19%|█▉ | 13374/70000 [4:43:36<20:05:22, 1.28s/step] Training: 19%|█▉ | 13375/70000 [4:43:38<19:41:40, 1.25s/step] Training: 19%|█▉ | 13376/70000 [4:43:39<19:23:18, 1.23s/step] Training: 19%|█▉ | 13377/70000 [4:43:40<19:12:20, 1.22s/step] Training: 19%|█▉ | 13378/70000 [4:43:41<19:16:21, 1.23s/step] Training: 19%|█▉ | 13379/70000 [4:43:42<19:46:05, 1.26s/step] Training: 19%|█▉ | 13380/70000 [4:43:44<20:15:33, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=65508 Training: 19%|█▉ | 13381/70000 [4:43:45<19:48:09, 1.26s/step] Training: 19%|█▉ | 13382/70000 [4:43:46<20:34:07, 1.31s/step] Training: 19%|█▉ | 13383/70000 [4:43:48<20:17:27, 1.29s/step] Training: 19%|█▉ | 13384/70000 [4:43:49<19:49:14, 1.26s/step] Training: 19%|█▉ | 13385/70000 [4:43:50<19:30:13, 1.24s/step] Training: 19%|█▉ | 13386/70000 [4:43:51<19:15:17, 1.22s/step] Training: 19%|█▉ | 13387/70000 [4:43:53<20:20:12, 1.29s/step] Training: 19%|█▉ | 13388/70000 [4:43:54<20:29:39, 1.30s/step] Training: 19%|█▉ | 13389/70000 [4:43:55<20:44:34, 1.32s/step] Training: 19%|█▉ | 13390/70000 [4:43:57<20:17:33, 1.29s/step] Training: 19%|█▉ | 13391/70000 [4:43:58<19:59:52, 1.27s/step] Training: 19%|█▉ | 13392/70000 [4:43:59<19:36:12, 1.25s/step] Training: 19%|█▉ | 13393/70000 [4:44:00<19:20:30, 1.23s/step] Training: 19%|█▉ | 13394/70000 [4:44:02<19:49:22, 1.26s/step] Training: 19%|█▉ | 13395/70000 [4:44:03<19:42:58, 1.25s/step] Training: 19%|█▉ | 13396/70000 [4:44:04<21:21:14, 1.36s/step] Training: 19%|█▉ | 13397/70000 [4:44:06<20:34:25, 1.31s/step] Training: 19%|█▉ | 13398/70000 [4:44:07<20:41:20, 1.32s/step] Training: 19%|█▉ | 13399/70000 [4:44:08<20:44:29, 1.32s/step] Training: 19%|█▉ | 13400/70000 [4:44:09<20:08:38, 1.28s/step]INFO 2026-03-13 00:54:02 ot_train.py:435 step:13K smpl:858K ep:3K epch:11.36 loss:0.122 grdn:11.246 lr:2.3e-05 updt_s:1.236 data_s:0.019 Training: 19%|█▉ | 13401/70000 [4:44:11<19:43:21, 1.25s/step] Training: 19%|█▉ | 13402/70000 [4:44:12<19:58:56, 1.27s/step] Training: 19%|█▉ | 13403/70000 [4:44:13<19:36:23, 1.25s/step] Training: 19%|█▉ | 13404/70000 [4:44:15<20:36:35, 1.31s/step] Training: 19%|█▉ | 13405/70000 [4:44:16<20:01:46, 1.27s/step] Training: 19%|█▉ | 13406/70000 [4:44:17<20:47:57, 1.32s/step] Training: 19%|█▉ | 13407/70000 [4:44:19<20:52:36, 1.33s/step] Training: 19%|█▉ | 13408/70000 [4:44:20<20:13:25, 1.29s/step] Training: 19%|█▉ | 13409/70000 [4:44:21<19:46:50, 1.26s/step] Training: 19%|█▉ | 13410/70000 [4:44:22<20:07:17, 1.28s/step] Training: 19%|█▉ | 13411/70000 [4:44:24<20:22:23, 1.30s/step] Training: 19%|█▉ | 13412/70000 [4:44:25<20:43:32, 1.32s/step] Training: 19%|█▉ | 13413/70000 [4:44:26<20:07:37, 1.28s/step] Training: 19%|█▉ | 13414/70000 [4:44:28<20:21:55, 1.30s/step] Training: 19%|█▉ | 13415/70000 [4:44:29<20:03:09, 1.28s/step] Training: 19%|█▉ | 13416/70000 [4:44:30<19:42:48, 1.25s/step] Training: 19%|█▉ | 13417/70000 [4:44:31<19:23:33, 1.23s/step] Training: 19%|█▉ | 13418/70000 [4:44:32<19:19:48, 1.23s/step] Training: 19%|█▉ | 13419/70000 [4:44:34<19:17:12, 1.23s/step] Training: 19%|█▉ | 13420/70000 [4:44:35<19:46:22, 1.26s/step] Training: 19%|█▉ | 13421/70000 [4:44:36<19:25:56, 1.24s/step] Training: 19%|█▉ | 13422/70000 [4:44:37<19:25:27, 1.24s/step] Training: 19%|█▉ | 13423/70000 [4:44:39<19:21:25, 1.23s/step] Training: 19%|█▉ | 13424/70000 [4:44:40<19:10:17, 1.22s/step] Training: 19%|█▉ | 13425/70000 [4:44:41<19:01:10, 1.21s/step] Training: 19%|█▉ | 13426/70000 [4:44:42<19:35:15, 1.25s/step] Training: 19%|█▉ | 13427/70000 [4:44:43<19:32:07, 1.24s/step] Training: 19%|█▉ | 13428/70000 [4:44:45<20:03:01, 1.28s/step] Training: 19%|█▉ | 13429/70000 [4:44:46<19:38:45, 1.25s/step] Training: 19%|█▉ | 13430/70000 [4:44:47<19:40:59, 1.25s/step] Training: 19%|█▉ | 13431/70000 [4:44:49<19:57:05, 1.27s/step] Training: 19%|█▉ | 13432/70000 [4:44:50<19:35:45, 1.25s/step] Training: 19%|█▉ | 13433/70000 [4:44:51<19:18:01, 1.23s/step] Training: 19%|█▉ | 13434/70000 [4:44:52<19:46:08, 1.26s/step] Training: 19%|█▉ | 13435/70000 [4:44:54<19:26:52, 1.24s/step] Training: 19%|█▉ | 13436/70000 [4:44:55<20:16:24, 1.29s/step] Training: 19%|█▉ | 13437/70000 [4:44:56<19:47:38, 1.26s/step] Training: 19%|█▉ | 13438/70000 [4:44:57<20:09:24, 1.28s/step] Training: 19%|█▉ | 13439/70000 [4:44:59<20:56:28, 1.33s/step] Training: 19%|█▉ | 13440/70000 [4:45:00<20:15:14, 1.29s/step] Training: 19%|█▉ | 13441/70000 [4:45:01<19:46:38, 1.26s/step] Training: 19%|█▉ | 13442/70000 [4:45:03<20:07:08, 1.28s/step] Training: 19%|█▉ | 13443/70000 [4:45:04<19:41:24, 1.25s/step] Training: 19%|█▉ | 13444/70000 [4:45:05<20:02:34, 1.28s/step] Training: 19%|█▉ | 13445/70000 [4:45:06<20:05:48, 1.28s/step] Training: 19%|█▉ | 13446/70000 [4:45:08<20:19:15, 1.29s/step] Training: 19%|█▉ | 13447/70000 [4:45:09<20:10:44, 1.28s/step] Training: 19%|█▉ | 13448/70000 [4:45:10<19:44:02, 1.26s/step] Training: 19%|█▉ | 13449/70000 [4:45:11<19:26:48, 1.24s/step] Training: 19%|█▉ | 13450/70000 [4:45:13<19:17:03, 1.23s/step] Training: 19%|█▉ | 13451/70000 [4:45:14<19:07:15, 1.22s/step] Training: 19%|█▉ | 13452/70000 [4:45:15<20:08:40, 1.28s/step] Training: 19%|█▉ | 13453/70000 [4:45:17<20:19:07, 1.29s/step] Training: 19%|█▉ | 13454/70000 [4:45:18<20:00:06, 1.27s/step] Training: 19%|█▉ | 13455/70000 [4:45:19<19:44:38, 1.26s/step] Training: 19%|█▉ | 13456/70000 [4:45:20<20:06:56, 1.28s/step] Training: 19%|█▉ | 13457/70000 [4:45:21<19:38:44, 1.25s/step] Training: 19%|█▉ | 13458/70000 [4:45:23<20:02:39, 1.28s/step] Training: 19%|█▉ | 13459/70000 [4:45:24<19:38:56, 1.25s/step] Training: 19%|█▉ | 13460/70000 [4:45:25<20:07:27, 1.28s/step] Training: 19%|█▉ | 13461/70000 [4:45:27<19:58:32, 1.27s/step] Training: 19%|█▉ | 13462/70000 [4:45:28<19:43:18, 1.26s/step] Training: 19%|█▉ | 13463/70000 [4:45:29<20:12:14, 1.29s/step] Training: 19%|█▉ | 13464/70000 [4:45:30<19:42:48, 1.26s/step] Training: 19%|█▉ | 13465/70000 [4:45:32<19:24:00, 1.24s/step] Training: 19%|█▉ | 13466/70000 [4:45:33<19:49:36, 1.26s/step] Training: 19%|█▉ | 13467/70000 [4:45:34<19:28:49, 1.24s/step] Training: 19%|█▉ | 13468/70000 [4:45:35<19:22:51, 1.23s/step] Training: 19%|█▉ | 13469/70000 [4:45:37<19:59:55, 1.27s/step] Training: 19%|█▉ | 13470/70000 [4:45:38<19:37:10, 1.25s/step] Training: 19%|█▉ | 13471/70000 [4:45:39<20:23:37, 1.30s/step] Training: 19%|█▉ | 13472/70000 [4:45:41<20:36:46, 1.31s/step] Training: 19%|█▉ | 13473/70000 [4:45:42<19:59:05, 1.27s/step] Training: 19%|█▉ | 13474/70000 [4:45:43<19:48:15, 1.26s/step] Training: 19%|█▉ | 13475/70000 [4:45:44<19:28:01, 1.24s/step] Training: 19%|█▉ | 13476/70000 [4:45:45<19:27:21, 1.24s/step] Training: 19%|█▉ | 13477/70000 [4:45:47<20:31:55, 1.31s/step] Training: 19%|█▉ | 13478/70000 [4:45:48<19:57:21, 1.27s/step] Training: 19%|█▉ | 13479/70000 [4:45:49<19:56:35, 1.27s/step] Training: 19%|█▉ | 13480/70000 [4:45:51<20:17:59, 1.29s/step] Training: 19%|█▉ | 13481/70000 [4:45:52<19:46:40, 1.26s/step] Training: 19%|█▉ | 13482/70000 [4:45:53<19:32:27, 1.24s/step] Training: 19%|█▉ | 13483/70000 [4:45:54<19:17:26, 1.23s/step] Training: 19%|█▉ | 13484/70000 [4:45:56<19:43:45, 1.26s/step] Training: 19%|█▉ | 13485/70000 [4:45:57<20:03:33, 1.28s/step] Training: 19%|█▉ | 13486/70000 [4:45:58<19:38:37, 1.25s/step] Training: 19%|█▉ | 13487/70000 [4:45:59<19:32:37, 1.24s/step] Training: 19%|█▉ | 13488/70000 [4:46:01<19:18:41, 1.23s/step] Training: 19%|█▉ | 13489/70000 [4:46:02<19:05:26, 1.22s/step] Training: 19%|█▉ | 13490/70000 [4:46:03<19:36:12, 1.25s/step] Training: 19%|█▉ | 13491/70000 [4:46:04<19:19:22, 1.23s/step] Training: 19%|█▉ | 13492/70000 [4:46:06<19:53:40, 1.27s/step] Training: 19%|█▉ | 13493/70000 [4:46:07<20:34:59, 1.31s/step] Training: 19%|█▉ | 13494/70000 [4:46:08<20:01:21, 1.28s/step] Training: 19%|█▉ | 13495/70000 [4:46:10<20:17:36, 1.29s/step] Training: 19%|█▉ | 13496/70000 [4:46:11<20:03:42, 1.28s/step] Training: 19%|█▉ | 13497/70000 [4:46:12<19:37:39, 1.25s/step] Training: 19%|█▉ | 13498/70000 [4:46:13<19:58:17, 1.27s/step] Training: 19%|█▉ | 13499/70000 [4:46:15<19:34:44, 1.25s/step] Training: 19%|█▉ | 13500/70000 [4:46:16<19:58:27, 1.27s/step]INFO 2026-03-13 00:56:08 ot_train.py:435 step:14K smpl:864K ep:3K epch:11.44 loss:0.128 grdn:11.579 lr:2.3e-05 updt_s:1.243 data_s:0.019 Training: 19%|█▉ | 13501/70000 [4:46:17<20:15:18, 1.29s/step] Training: 19%|█▉ | 13502/70000 [4:46:18<19:47:31, 1.26s/step] Training: 19%|█▉ | 13503/70000 [4:46:20<20:11:13, 1.29s/step] Training: 19%|█▉ | 13504/70000 [4:46:21<19:58:28, 1.27s/step] Training: 19%|█▉ | 13505/70000 [4:46:22<19:33:17, 1.25s/step] Training: 19%|█▉ | 13506/70000 [4:46:23<19:30:18, 1.24s/step] Training: 19%|█▉ | 13507/70000 [4:46:25<19:13:43, 1.23s/step] Training: 19%|█▉ | 13508/70000 [4:46:26<19:14:22, 1.23s/step] Training: 19%|█▉ | 13509/70000 [4:46:27<20:22:48, 1.30s/step] Training: 19%|█▉ | 13510/70000 [4:46:28<19:51:58, 1.27s/step] Training: 19%|█▉ | 13511/70000 [4:46:30<20:22:30, 1.30s/step] Training: 19%|█▉ | 13512/70000 [4:46:31<19:51:42, 1.27s/step] Training: 19%|█▉ | 13513/70000 [4:46:32<20:12:39, 1.29s/step] Training: 19%|█▉ | 13514/70000 [4:46:34<19:48:21, 1.26s/step] Training: 19%|█▉ | 13515/70000 [4:46:35<19:27:05, 1.24s/step] Training: 19%|█▉ | 13516/70000 [4:46:36<19:51:01, 1.27s/step] Training: 19%|█▉ | 13517/70000 [4:46:37<20:12:20, 1.29s/step] Training: 19%|█▉ | 13518/70000 [4:46:39<19:44:39, 1.26s/step] Training: 19%|█▉ | 13519/70000 [4:46:40<19:34:15, 1.25s/step] Training: 19%|█▉ | 13520/70000 [4:46:41<19:19:05, 1.23s/step] Training: 19%|█▉ | 13521/70000 [4:46:42<19:34:23, 1.25s/step] Training: 19%|█▉ | 13522/70000 [4:46:44<19:55:10, 1.27s/step] Training: 19%|█▉ | 13523/70000 [4:46:45<19:33:18, 1.25s/step] Training: 19%|█▉ | 13524/70000 [4:46:46<19:58:54, 1.27s/step] Training: 19%|█▉ | 13525/70000 [4:46:47<20:18:22, 1.29s/step] Training: 19%|█▉ | 13526/70000 [4:46:49<19:49:47, 1.26s/step] Training: 19%|█▉ | 13527/70000 [4:46:50<20:08:13, 1.28s/step] Training: 19%|█▉ | 13528/70000 [4:46:51<19:41:09, 1.25s/step] Training: 19%|█▉ | 13529/70000 [4:46:53<20:08:31, 1.28s/step] Training: 19%|█▉ | 13530/70000 [4:46:54<20:19:01, 1.30s/step] Training: 19%|█▉ | 13531/70000 [4:46:55<19:48:50, 1.26s/step] Training: 19%|█▉ | 13532/70000 [4:46:56<20:09:34, 1.29s/step] Training: 19%|█▉ | 13533/70000 [4:46:58<20:22:32, 1.30s/step] Training: 19%|█▉ | 13534/70000 [4:46:59<19:53:11, 1.27s/step] Training: 19%|█▉ | 13535/70000 [4:47:00<20:08:43, 1.28s/step] Training: 19%|█▉ | 13536/70000 [4:47:01<19:42:03, 1.26s/step] Training: 19%|█▉ | 13537/70000 [4:47:03<20:13:16, 1.29s/step] Training: 19%|█▉ | 13538/70000 [4:47:04<19:49:42, 1.26s/step] Training: 19%|█▉ | 13539/70000 [4:47:05<19:28:13, 1.24s/step] Training: 19%|█▉ | 13540/70000 [4:47:06<19:25:06, 1.24s/step] Training: 19%|█▉ | 13541/70000 [4:47:08<20:33:37, 1.31s/step] Training: 19%|█▉ | 13542/70000 [4:47:09<19:59:47, 1.28s/step] Training: 19%|█▉ | 13543/70000 [4:47:10<20:24:29, 1.30s/step] Training: 19%|█▉ | 13544/70000 [4:47:12<19:54:15, 1.27s/step] Training: 19%|█▉ | 13545/70000 [4:47:13<20:18:04, 1.29s/step] Training: 19%|█▉ | 13546/70000 [4:47:14<19:51:38, 1.27s/step] Training: 19%|█▉ | 13547/70000 [4:47:15<19:31:18, 1.24s/step] Training: 19%|█▉ | 13548/70000 [4:47:17<19:54:45, 1.27s/step] Training: 19%|█▉ | 13549/70000 [4:47:18<20:13:01, 1.29s/step] Training: 19%|█▉ | 13550/70000 [4:47:19<19:44:49, 1.26s/step] Training: 19%|█▉ | 13551/70000 [4:47:20<19:33:43, 1.25s/step] Training: 19%|█▉ | 13552/70000 [4:47:22<19:17:04, 1.23s/step] Training: 19%|█▉ | 13553/70000 [4:47:23<19:50:54, 1.27s/step] Training: 19%|█▉ | 13554/70000 [4:47:24<20:03:31, 1.28s/step] Training: 19%|█▉ | 13555/70000 [4:47:26<19:37:55, 1.25s/step] Training: 19%|█▉ | 13556/70000 [4:47:27<20:05:44, 1.28s/step] Training: 19%|█▉ | 13557/70000 [4:47:28<20:30:53, 1.31s/step] Training: 19%|█▉ | 13558/70000 [4:47:29<19:58:56, 1.27s/step] Training: 19%|█▉ | 13559/70000 [4:47:31<20:13:22, 1.29s/step] Training: 19%|█▉ | 13560/70000 [4:47:32<19:45:45, 1.26s/step] Training: 19%|█▉ | 13561/70000 [4:47:33<19:39:29, 1.25s/step] Training: 19%|█▉ | 13562/70000 [4:47:35<19:56:47, 1.27s/step] Training: 19%|█▉ | 13563/70000 [4:47:36<19:34:11, 1.25s/step] Training: 19%|█▉ | 13564/70000 [4:47:37<19:59:21, 1.28s/step] Training: 19%|█▉ | 13565/70000 [4:47:38<20:16:35, 1.29s/step] Training: 19%|█▉ | 13566/70000 [4:47:40<19:47:46, 1.26s/step] Training: 19%|█▉ | 13567/70000 [4:47:41<20:03:15, 1.28s/step] Training: 19%|█▉ | 13568/70000 [4:47:42<19:39:28, 1.25s/step] Training: 19%|█▉ | 13569/70000 [4:47:43<19:20:54, 1.23s/step] Training: 19%|█▉ | 13570/70000 [4:47:45<19:49:53, 1.27s/step] Training: 19%|█▉ | 13571/70000 [4:47:46<19:26:27, 1.24s/step] Training: 19%|█▉ | 13572/70000 [4:47:47<19:23:15, 1.24s/step] Training: 19%|█▉ | 13573/70000 [4:47:48<20:29:43, 1.31s/step] Training: 19%|█▉ | 13574/70000 [4:47:50<19:55:22, 1.27s/step] Training: 19%|█▉ | 13575/70000 [4:47:51<20:23:51, 1.30s/step] Training: 19%|█▉ | 13576/70000 [4:47:52<19:53:36, 1.27s/step] Training: 19%|█▉ | 13577/70000 [4:47:53<19:30:30, 1.24s/step] Training: 19%|█▉ | 13578/70000 [4:47:55<19:51:19, 1.27s/step] Training: 19%|█▉ | 13579/70000 [4:47:56<19:28:02, 1.24s/step] Training: 19%|█▉ | 13580/70000 [4:47:57<19:50:54, 1.27s/step] Training: 19%|█▉ | 13581/70000 [4:47:59<20:12:16, 1.29s/step] Training: 19%|█▉ | 13582/70000 [4:48:00<19:44:13, 1.26s/step] Training: 19%|█▉ | 13583/70000 [4:48:01<19:34:21, 1.25s/step] Training: 19%|█▉ | 13584/70000 [4:48:02<19:17:59, 1.23s/step] Training: 19%|█▉ | 13585/70000 [4:48:03<19:06:19, 1.22s/step] Training: 19%|█▉ | 13586/70000 [4:48:05<19:44:59, 1.26s/step] Training: 19%|█▉ | 13587/70000 [4:48:06<19:25:29, 1.24s/step] Training: 19%|█▉ | 13588/70000 [4:48:07<19:53:33, 1.27s/step] Training: 19%|█▉ | 13589/70000 [4:48:09<20:22:18, 1.30s/step] Training: 19%|█▉ | 13590/70000 [4:48:10<19:50:40, 1.27s/step] Training: 19%|█▉ | 13591/70000 [4:48:11<20:10:31, 1.29s/step] Training: 19%|█▉ | 13592/70000 [4:48:12<19:43:15, 1.26s/step] Training: 19%|█▉ | 13593/70000 [4:48:14<19:26:04, 1.24s/step] Training: 19%|█▉ | 13594/70000 [4:48:15<19:47:48, 1.26s/step] Training: 19%|█▉ | 13595/70000 [4:48:16<20:09:16, 1.29s/step] Training: 19%|█▉ | 13596/70000 [4:48:18<20:18:43, 1.30s/step] Training: 19%|█▉ | 13597/70000 [4:48:19<20:28:28, 1.31s/step] Training: 19%|█▉ | 13598/70000 [4:48:20<19:56:34, 1.27s/step] Training: 19%|█▉ | 13599/70000 [4:48:21<20:10:03, 1.29s/step] Training: 19%|█▉ | 13600/70000 [4:48:23<19:42:25, 1.26s/step]INFO 2026-03-13 00:58:15 ot_train.py:435 step:14K smpl:870K ep:3K epch:11.53 loss:0.121 grdn:11.221 lr:2.3e-05 updt_s:1.247 data_s:0.018 Training: 19%|█▉ | 13601/70000 [4:48:24<19:23:08, 1.24s/step] Training: 19%|█▉ | 13602/70000 [4:48:25<19:19:27, 1.23s/step] Training: 19%|█▉ | 13603/70000 [4:48:26<19:52:19, 1.27s/step] Training: 19%|█▉ | 13604/70000 [4:48:28<20:06:10, 1.28s/step] Training: 19%|█▉ | 13605/70000 [4:48:29<19:49:39, 1.27s/step] Training: 19%|█▉ | 13606/70000 [4:48:30<20:00:00, 1.28s/step] Training: 19%|█▉ | 13607/70000 [4:48:32<20:14:25, 1.29s/step] Training: 19%|█▉ | 13608/70000 [4:48:33<19:45:44, 1.26s/step] Training: 19%|█▉ | 13609/70000 [4:48:34<19:25:47, 1.24s/step] Training: 19%|█▉ | 13610/70000 [4:48:35<19:16:59, 1.23s/step] Training: 19%|█▉ | 13611/70000 [4:48:36<19:08:35, 1.22s/step] Training: 19%|█▉ | 13612/70000 [4:48:38<19:36:24, 1.25s/step] Training: 19%|█▉ | 13613/70000 [4:48:39<19:58:43, 1.28s/step] Training: 19%|█▉ | 13614/70000 [4:48:40<19:33:46, 1.25s/step] Training: 19%|█▉ | 13615/70000 [4:48:41<19:24:40, 1.24s/step] Training: 19%|█▉ | 13616/70000 [4:48:43<19:11:33, 1.23s/step] Training: 19%|█▉ | 13617/70000 [4:48:44<19:00:23, 1.21s/step] Training: 19%|█▉ | 13618/70000 [4:48:45<19:30:18, 1.25s/step] Training: 19%|█▉ | 13619/70000 [4:48:46<19:23:41, 1.24s/step] Training: 19%|█▉ | 13620/70000 [4:48:48<19:54:58, 1.27s/step] Training: 19%|█▉ | 13621/70000 [4:48:49<20:18:01, 1.30s/step] Training: 19%|█▉ | 13622/70000 [4:48:50<19:47:34, 1.26s/step] Training: 19%|█▉ | 13623/70000 [4:48:51<20:06:15, 1.28s/step] Training: 19%|█▉ | 13624/70000 [4:48:53<19:40:31, 1.26s/step] Training: 19%|█▉ | 13625/70000 [4:48:54<19:22:31, 1.24s/step] Training: 19%|█▉ | 13626/70000 [4:48:55<19:50:08, 1.27s/step] Training: 19%|█▉ | 13627/70000 [4:48:56<19:49:15, 1.27s/step] Training: 19%|█▉ | 13628/70000 [4:48:58<20:04:10, 1.28s/step] Training: 19%|█▉ | 13629/70000 [4:48:59<20:17:39, 1.30s/step] Training: 19%|█▉ | 13630/70000 [4:49:00<19:49:29, 1.27s/step] Training: 19%|█▉ | 13631/70000 [4:49:02<20:13:17, 1.29s/step] Training: 19%|█▉ | 13632/70000 [4:49:03<19:45:59, 1.26s/step] Training: 19%|█▉ | 13633/70000 [4:49:04<19:28:20, 1.24s/step] Training: 19%|█▉ | 13634/70000 [4:49:05<19:23:59, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=65558 Training: 19%|█▉ | 13635/70000 [4:49:06<19:09:46, 1.22s/step] Training: 19%|█▉ | 13636/70000 [4:49:08<20:13:53, 1.29s/step] Training: 19%|█▉ | 13637/70000 [4:49:09<19:54:39, 1.27s/step] Training: 19%|█▉ | 13638/70000 [4:49:10<19:55:50, 1.27s/step] Training: 19%|█▉ | 13639/70000 [4:49:12<20:16:29, 1.30s/step] Training: 19%|█▉ | 13640/70000 [4:49:13<19:45:48, 1.26s/step] Training: 19%|█▉ | 13641/70000 [4:49:14<19:25:28, 1.24s/step] Training: 19%|█▉ | 13642/70000 [4:49:15<19:16:34, 1.23s/step] Training: 19%|█▉ | 13643/70000 [4:49:17<19:04:46, 1.22s/step] Training: 19%|█▉ | 13644/70000 [4:49:18<19:20:10, 1.24s/step] Training: 19%|█▉ | 13645/70000 [4:49:19<19:47:02, 1.26s/step] Training: 19%|█▉ | 13646/70000 [4:49:20<19:26:54, 1.24s/step] Training: 19%|█▉ | 13647/70000 [4:49:22<19:25:05, 1.24s/step] Training: 19%|█▉ | 13648/70000 [4:49:23<19:10:32, 1.23s/step] Training: 19%|█▉ | 13649/70000 [4:49:24<19:00:16, 1.21s/step] Training: 20%|█▉ | 13650/70000 [4:49:25<19:34:35, 1.25s/step] Training: 20%|█▉ | 13651/70000 [4:49:26<19:16:17, 1.23s/step] Training: 20%|█▉ | 13652/70000 [4:49:28<19:55:53, 1.27s/step] Training: 20%|█▉ | 13653/70000 [4:49:29<20:46:59, 1.33s/step] Training: 20%|█▉ | 13654/70000 [4:49:31<20:07:37, 1.29s/step] Training: 20%|█▉ | 13655/70000 [4:49:32<20:18:10, 1.30s/step] Training: 20%|█▉ | 13656/70000 [4:49:33<19:47:26, 1.26s/step] Training: 20%|█▉ | 13657/70000 [4:49:34<19:26:42, 1.24s/step] Training: 20%|█▉ | 13658/70000 [4:49:36<19:50:01, 1.27s/step] Training: 20%|█▉ | 13659/70000 [4:49:37<19:29:33, 1.25s/step] Training: 20%|█▉ | 13660/70000 [4:49:38<20:01:47, 1.28s/step] Training: 20%|█▉ | 13661/70000 [4:49:39<20:13:38, 1.29s/step] Training: 20%|█▉ | 13662/70000 [4:49:41<19:43:59, 1.26s/step] Training: 20%|█▉ | 13663/70000 [4:49:42<20:04:13, 1.28s/step] Training: 20%|█▉ | 13664/70000 [4:49:43<19:37:51, 1.25s/step] Training: 20%|█▉ | 13665/70000 [4:49:44<19:19:34, 1.24s/step] Training: 20%|█▉ | 13666/70000 [4:49:46<19:15:38, 1.23s/step] Training: 20%|█▉ | 13667/70000 [4:49:47<19:06:49, 1.22s/step] Training: 20%|█▉ | 13668/70000 [4:49:48<19:36:37, 1.25s/step] Training: 20%|█▉ | 13669/70000 [4:49:50<20:32:32, 1.31s/step] Training: 20%|█▉ | 13670/70000 [4:49:51<19:57:23, 1.28s/step] Training: 20%|█▉ | 13671/70000 [4:49:52<20:38:48, 1.32s/step] Training: 20%|█▉ | 13672/70000 [4:49:53<20:04:54, 1.28s/step] Training: 20%|█▉ | 13673/70000 [4:49:55<19:38:43, 1.26s/step] Training: 20%|█▉ | 13674/70000 [4:49:56<19:24:23, 1.24s/step] Training: 20%|█▉ | 13675/70000 [4:49:57<19:10:03, 1.23s/step] Training: 20%|█▉ | 13676/70000 [4:49:58<19:40:07, 1.26s/step] Training: 20%|█▉ | 13677/70000 [4:50:00<20:37:10, 1.32s/step] Training: 20%|█▉ | 13678/70000 [4:50:01<20:02:07, 1.28s/step] Training: 20%|█▉ | 13679/70000 [4:50:02<19:46:27, 1.26s/step] Training: 20%|█▉ | 13680/70000 [4:50:03<19:27:43, 1.24s/step] Training: 20%|█▉ | 13681/70000 [4:50:05<19:12:32, 1.23s/step] Training: 20%|█▉ | 13682/70000 [4:50:06<19:37:46, 1.25s/step] Training: 20%|█▉ | 13683/70000 [4:50:07<19:19:32, 1.24s/step] Training: 20%|█▉ | 13684/70000 [4:50:08<19:53:44, 1.27s/step] Training: 20%|█▉ | 13685/70000 [4:50:10<20:18:50, 1.30s/step] Training: 20%|█▉ | 13686/70000 [4:50:11<19:48:44, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=18672 Training: 20%|█▉ | 13687/70000 [4:50:12<20:09:21, 1.29s/step] Training: 20%|█▉ | 13688/70000 [4:50:13<19:43:25, 1.26s/step] Training: 20%|█▉ | 13689/70000 [4:50:15<19:21:19, 1.24s/step] Training: 20%|█▉ | 13690/70000 [4:50:16<19:46:28, 1.26s/step] Training: 20%|█▉ | 13691/70000 [4:50:17<19:24:43, 1.24s/step] Training: 20%|█▉ | 13692/70000 [4:50:18<19:49:29, 1.27s/step] Training: 20%|█▉ | 13693/70000 [4:50:20<20:21:29, 1.30s/step] Training: 20%|█▉ | 13694/70000 [4:50:21<19:49:31, 1.27s/step] Training: 20%|█▉ | 13695/70000 [4:50:22<20:06:52, 1.29s/step] Training: 20%|█▉ | 13696/70000 [4:50:24<19:41:55, 1.26s/step] Training: 20%|█▉ | 13697/70000 [4:50:25<19:23:03, 1.24s/step] Training: 20%|█▉ | 13698/70000 [4:50:26<19:15:19, 1.23s/step] Training: 20%|█▉ | 13699/70000 [4:50:27<19:04:27, 1.22s/step] Training: 20%|█▉ | 13700/70000 [4:50:29<19:35:47, 1.25s/step]INFO 2026-03-13 01:00:21 ot_train.py:435 step:14K smpl:877K ep:3K epch:11.61 loss:0.128 grdn:11.388 lr:2.3e-05 updt_s:1.239 data_s:0.018 Training: 20%|█▉ | 13701/70000 [4:50:30<19:58:53, 1.28s/step] Training: 20%|█▉ | 13702/70000 [4:50:31<19:33:41, 1.25s/step] Training: 20%|█▉ | 13703/70000 [4:50:32<20:03:47, 1.28s/step] Training: 20%|█▉ | 13704/70000 [4:50:34<19:38:39, 1.26s/step] Training: 20%|█▉ | 13705/70000 [4:50:35<19:18:56, 1.24s/step] Training: 20%|█▉ | 13706/70000 [4:50:36<19:12:52, 1.23s/step] Training: 20%|█▉ | 13707/70000 [4:50:37<19:04:50, 1.22s/step] Training: 20%|█▉ | 13708/70000 [4:50:39<19:33:50, 1.25s/step] Training: 20%|█▉ | 13709/70000 [4:50:40<19:55:58, 1.27s/step] Training: 20%|█▉ | 13710/70000 [4:50:41<20:17:31, 1.30s/step] Training: 20%|█▉ | 13711/70000 [4:50:42<19:55:56, 1.27s/step] Training: 20%|█▉ | 13712/70000 [4:50:44<19:32:41, 1.25s/step] Training: 20%|█▉ | 13713/70000 [4:50:45<19:15:57, 1.23s/step] Training: 20%|█▉ | 13714/70000 [4:50:46<19:44:56, 1.26s/step] Training: 20%|█▉ | 13715/70000 [4:50:47<19:24:53, 1.24s/step] Training: 20%|█▉ | 13716/70000 [4:50:49<20:03:05, 1.28s/step] Training: 20%|█▉ | 13717/70000 [4:50:50<20:26:19, 1.31s/step] Training: 20%|█▉ | 13718/70000 [4:50:51<20:26:11, 1.31s/step] Training: 20%|█▉ | 13719/70000 [4:50:53<20:37:20, 1.32s/step] Training: 20%|█▉ | 13720/70000 [4:50:54<20:03:42, 1.28s/step] Training: 20%|█▉ | 13721/70000 [4:50:55<19:37:17, 1.26s/step] Training: 20%|█▉ | 13722/70000 [4:50:56<19:58:15, 1.28s/step] Training: 20%|█▉ | 13723/70000 [4:50:58<19:32:45, 1.25s/step] Training: 20%|█▉ | 13724/70000 [4:50:59<19:55:22, 1.27s/step] Training: 20%|█▉ | 13725/70000 [4:51:00<20:11:03, 1.29s/step] Training: 20%|█▉ | 13726/70000 [4:51:02<20:29:15, 1.31s/step] Training: 20%|█▉ | 13727/70000 [4:51:03<20:30:42, 1.31s/step] Training: 20%|█▉ | 13728/70000 [4:51:04<19:56:32, 1.28s/step] Training: 20%|█▉ | 13729/70000 [4:51:05<19:33:09, 1.25s/step] Training: 20%|█▉ | 13730/70000 [4:51:07<19:26:11, 1.24s/step] Training: 20%|█▉ | 13731/70000 [4:51:08<19:10:42, 1.23s/step] Training: 20%|█▉ | 13732/70000 [4:51:09<19:40:55, 1.26s/step] Training: 20%|█▉ | 13733/70000 [4:51:11<20:25:00, 1.31s/step] Training: 20%|█▉ | 13734/70000 [4:51:12<20:41:16, 1.32s/step] Training: 20%|█▉ | 13735/70000 [4:51:13<20:47:04, 1.33s/step] Training: 20%|█▉ | 13736/70000 [4:51:14<20:08:51, 1.29s/step] Training: 20%|█▉ | 13737/70000 [4:51:16<19:45:47, 1.26s/step] Training: 20%|█▉ | 13738/70000 [4:51:17<19:27:43, 1.25s/step] Training: 20%|█▉ | 13739/70000 [4:51:18<19:12:20, 1.23s/step] Training: 20%|█▉ | 13740/70000 [4:51:19<19:41:44, 1.26s/step] Training: 20%|█▉ | 13741/70000 [4:51:21<20:02:09, 1.28s/step] Training: 20%|█▉ | 13742/70000 [4:51:22<19:35:53, 1.25s/step] Training: 20%|█▉ | 13743/70000 [4:51:23<20:03:03, 1.28s/step] Training: 20%|█▉ | 13744/70000 [4:51:24<19:34:01, 1.25s/step] Training: 20%|█▉ | 13745/70000 [4:51:26<19:16:00, 1.23s/step] Training: 20%|█▉ | 13746/70000 [4:51:27<19:43:58, 1.26s/step] Training: 20%|█▉ | 13747/70000 [4:51:28<19:23:14, 1.24s/step] Training: 20%|█▉ | 13748/70000 [4:51:29<20:03:22, 1.28s/step] Training: 20%|█▉ | 13749/70000 [4:51:31<19:50:53, 1.27s/step] Training: 20%|█▉ | 13750/70000 [4:51:32<19:27:46, 1.25s/step] Training: 20%|█▉ | 13751/70000 [4:51:33<20:16:07, 1.30s/step] Training: 20%|█▉ | 13752/70000 [4:51:35<19:51:33, 1.27s/step] Training: 20%|█▉ | 13753/70000 [4:51:36<19:28:09, 1.25s/step] Training: 20%|█▉ | 13754/70000 [4:51:37<19:53:33, 1.27s/step] Training: 20%|█▉ | 13755/70000 [4:51:38<19:30:23, 1.25s/step] Training: 20%|█▉ | 13756/70000 [4:51:40<19:53:03, 1.27s/step] Training: 20%|█▉ | 13757/70000 [4:51:41<19:47:36, 1.27s/step] Training: 20%|█▉ | 13758/70000 [4:51:42<19:26:34, 1.24s/step] Training: 20%|█▉ | 13759/70000 [4:51:43<19:54:12, 1.27s/step] Training: 20%|█▉ | 13760/70000 [4:51:45<19:29:54, 1.25s/step] Training: 20%|█▉ | 13761/70000 [4:51:46<19:13:45, 1.23s/step] Training: 20%|█▉ | 13762/70000 [4:51:47<19:11:51, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=18672 Training: 20%|█▉ | 13763/70000 [4:51:48<19:00:45, 1.22s/step] Training: 20%|█▉ | 13764/70000 [4:51:50<19:35:22, 1.25s/step] Training: 20%|█▉ | 13765/70000 [4:51:51<19:57:08, 1.28s/step] Training: 20%|█▉ | 13766/70000 [4:51:52<19:32:55, 1.25s/step] Training: 20%|█▉ | 13767/70000 [4:51:53<20:11:46, 1.29s/step] Training: 20%|█▉ | 13768/70000 [4:51:55<19:43:00, 1.26s/step] Training: 20%|█▉ | 13769/70000 [4:51:56<19:22:34, 1.24s/step] Training: 20%|█▉ | 13770/70000 [4:51:57<19:11:36, 1.23s/step] Training: 20%|█▉ | 13771/70000 [4:51:58<19:00:00, 1.22s/step] Training: 20%|█▉ | 13772/70000 [4:52:00<19:32:46, 1.25s/step] Training: 20%|█▉ | 13773/70000 [4:52:01<19:55:55, 1.28s/step] Training: 20%|█▉ | 13774/70000 [4:52:02<19:32:47, 1.25s/step] Training: 20%|█▉ | 13775/70000 [4:52:03<19:33:33, 1.25s/step] Training: 20%|█▉ | 13776/70000 [4:52:04<19:12:34, 1.23s/step] Training: 20%|█▉ | 13777/70000 [4:52:06<19:03:17, 1.22s/step] Training: 20%|█▉ | 13778/70000 [4:52:07<19:34:09, 1.25s/step] Training: 20%|█▉ | 13779/70000 [4:52:08<19:17:54, 1.24s/step] Training: 20%|█▉ | 13780/70000 [4:52:10<19:55:06, 1.28s/step] Training: 20%|█▉ | 13781/70000 [4:52:11<20:20:42, 1.30s/step] Training: 20%|█▉ | 13782/70000 [4:52:12<19:48:48, 1.27s/step] Training: 20%|█▉ | 13783/70000 [4:52:13<20:07:20, 1.29s/step] Training: 20%|█▉ | 13784/70000 [4:52:15<20:24:27, 1.31s/step] Training: 20%|█▉ | 13785/70000 [4:52:16<19:49:34, 1.27s/step] Training: 20%|█▉ | 13786/70000 [4:52:17<20:04:28, 1.29s/step] Training: 20%|█▉ | 13787/70000 [4:52:19<19:38:00, 1.26s/step] Training: 20%|█▉ | 13788/70000 [4:52:20<19:58:19, 1.28s/step] Training: 20%|█▉ | 13789/70000 [4:52:21<19:49:59, 1.27s/step] Training: 20%|█▉ | 13790/70000 [4:52:22<19:27:56, 1.25s/step] Training: 20%|█▉ | 13791/70000 [4:52:24<19:52:47, 1.27s/step] Training: 20%|█▉ | 13792/70000 [4:52:25<19:55:45, 1.28s/step] Training: 20%|█▉ | 13793/70000 [4:52:26<19:31:17, 1.25s/step] Training: 20%|█▉ | 13794/70000 [4:52:27<19:23:45, 1.24s/step] Training: 20%|█▉ | 13795/70000 [4:52:29<19:09:12, 1.23s/step] Training: 20%|█▉ | 13796/70000 [4:52:30<19:38:10, 1.26s/step] Training: 20%|█▉ | 13797/70000 [4:52:31<19:57:33, 1.28s/step] Training: 20%|█▉ | 13798/70000 [4:52:32<19:31:59, 1.25s/step] Training: 20%|█▉ | 13799/70000 [4:52:34<20:06:42, 1.29s/step] Training: 20%|█▉ | 13800/70000 [4:52:35<20:25:33, 1.31s/step]INFO 2026-03-13 01:02:27 ot_train.py:435 step:14K smpl:883K ep:3K epch:11.70 loss:0.123 grdn:11.597 lr:2.3e-05 updt_s:1.244 data_s:0.019 Training: 20%|█▉ | 13801/70000 [4:52:36<19:48:28, 1.27s/step] Training: 20%|█▉ | 13802/70000 [4:52:37<19:30:53, 1.25s/step] Training: 20%|█▉ | 13803/70000 [4:52:39<19:14:58, 1.23s/step] Training: 20%|█▉ | 13804/70000 [4:52:40<19:44:04, 1.26s/step] Training: 20%|█▉ | 13805/70000 [4:52:41<20:01:38, 1.28s/step] Training: 20%|█▉ | 13806/70000 [4:52:43<19:35:29, 1.26s/step] Training: 20%|█▉ | 13807/70000 [4:52:44<19:21:22, 1.24s/step] Training: 20%|█▉ | 13808/70000 [4:52:45<19:56:53, 1.28s/step] Training: 20%|█▉ | 13809/70000 [4:52:46<19:29:08, 1.25s/step] Training: 20%|█▉ | 13810/70000 [4:52:48<19:50:58, 1.27s/step] Training: 20%|█▉ | 13811/70000 [4:52:49<19:28:39, 1.25s/step] Training: 20%|█▉ | 13812/70000 [4:52:50<20:05:41, 1.29s/step] Training: 20%|█▉ | 13813/70000 [4:52:52<20:29:16, 1.31s/step] Training: 20%|█▉ | 13814/70000 [4:52:53<19:54:45, 1.28s/step] Training: 20%|█▉ | 13815/70000 [4:52:54<20:09:22, 1.29s/step] Training: 20%|█▉ | 13816/70000 [4:52:55<19:40:44, 1.26s/step] Training: 20%|█▉ | 13817/70000 [4:52:57<20:06:49, 1.29s/step] Training: 20%|█▉ | 13818/70000 [4:52:58<20:14:17, 1.30s/step] Training: 20%|█▉ | 13819/70000 [4:52:59<19:43:34, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=62292 Training: 20%|█▉ | 13820/70000 [4:53:00<20:02:20, 1.28s/step] Training: 20%|█▉ | 13821/70000 [4:53:02<19:56:10, 1.28s/step] Training: 20%|█▉ | 13822/70000 [4:53:03<19:31:04, 1.25s/step] Training: 20%|█▉ | 13823/70000 [4:53:04<19:54:27, 1.28s/step] Training: 20%|█▉ | 13824/70000 [4:53:05<19:33:40, 1.25s/step] Training: 20%|█▉ | 13825/70000 [4:53:07<20:38:51, 1.32s/step] Training: 20%|█▉ | 13826/70000 [4:53:08<20:07:40, 1.29s/step] Training: 20%|█▉ | 13827/70000 [4:53:09<19:38:41, 1.26s/step] Training: 20%|█▉ | 13828/70000 [4:53:11<19:57:43, 1.28s/step] Training: 20%|█▉ | 13829/70000 [4:53:12<20:12:20, 1.29s/step] Training: 20%|█▉ | 13830/70000 [4:53:13<19:42:50, 1.26s/step] Training: 20%|█▉ | 13831/70000 [4:53:15<20:17:50, 1.30s/step] Training: 20%|█▉ | 13832/70000 [4:53:16<19:48:35, 1.27s/step] Training: 20%|█▉ | 13833/70000 [4:53:17<20:05:03, 1.29s/step] Training: 20%|█▉ | 13834/70000 [4:53:18<19:41:03, 1.26s/step] Training: 20%|█▉ | 13835/70000 [4:53:19<19:20:20, 1.24s/step] Training: 20%|█▉ | 13836/70000 [4:53:21<19:45:24, 1.27s/step] Training: 20%|█▉ | 13837/70000 [4:53:22<20:03:53, 1.29s/step] Training: 20%|█▉ | 13838/70000 [4:53:23<19:37:02, 1.26s/step] Training: 20%|█▉ | 13839/70000 [4:53:25<19:29:16, 1.25s/step] Training: 20%|█▉ | 13840/70000 [4:53:26<19:13:04, 1.23s/step] Training: 20%|█▉ | 13841/70000 [4:53:27<19:47:14, 1.27s/step] Training: 20%|█▉ | 13842/70000 [4:53:28<20:01:41, 1.28s/step] Training: 20%|█▉ | 13843/70000 [4:53:30<19:35:13, 1.26s/step] Training: 20%|█▉ | 13844/70000 [4:53:31<20:07:54, 1.29s/step] Training: 20%|█▉ | 13845/70000 [4:53:32<20:31:53, 1.32s/step] Training: 20%|█▉ | 13846/70000 [4:53:34<19:56:08, 1.28s/step] Training: 20%|█▉ | 13847/70000 [4:53:35<20:13:29, 1.30s/step] Training: 20%|█▉ | 13848/70000 [4:53:36<19:44:38, 1.27s/step] Training: 20%|█▉ | 13849/70000 [4:53:37<19:37:24, 1.26s/step] Training: 20%|█▉ | 13850/70000 [4:53:39<19:53:49, 1.28s/step] Training: 20%|█▉ | 13851/70000 [4:53:40<19:29:21, 1.25s/step] Training: 20%|█▉ | 13852/70000 [4:53:41<19:53:55, 1.28s/step] Training: 20%|█▉ | 13853/70000 [4:53:42<19:46:58, 1.27s/step] Training: 20%|█▉ | 13854/70000 [4:53:44<19:25:11, 1.25s/step] Training: 20%|█▉ | 13855/70000 [4:53:45<19:54:49, 1.28s/step] Training: 20%|█▉ | 13856/70000 [4:53:46<19:30:32, 1.25s/step] Training: 20%|█▉ | 13857/70000 [4:53:47<19:12:52, 1.23s/step] Training: 20%|█▉ | 13858/70000 [4:53:49<19:46:14, 1.27s/step] Training: 20%|█▉ | 13859/70000 [4:53:50<19:22:21, 1.24s/step] Training: 20%|█▉ | 13860/70000 [4:53:51<19:46:08, 1.27s/step] Training: 20%|█▉ | 13861/70000 [4:53:52<20:02:18, 1.28s/step] Training: 20%|█▉ | 13862/70000 [4:53:54<19:36:15, 1.26s/step] Training: 20%|█▉ | 13863/70000 [4:53:55<19:32:29, 1.25s/step] Training: 20%|█▉ | 13864/70000 [4:53:56<19:15:01, 1.23s/step] Training: 20%|█▉ | 13865/70000 [4:53:57<19:02:03, 1.22s/step] Training: 20%|█▉ | 13866/70000 [4:53:59<19:27:39, 1.25s/step] Training: 20%|█▉ | 13867/70000 [4:54:00<19:10:54, 1.23s/step] Training: 20%|█▉ | 13868/70000 [4:54:01<19:38:18, 1.26s/step] Training: 20%|█▉ | 13869/70000 [4:54:02<19:56:35, 1.28s/step] Training: 20%|█▉ | 13870/70000 [4:54:04<19:31:13, 1.25s/step] Training: 20%|█▉ | 13871/70000 [4:54:05<19:26:22, 1.25s/step] Training: 20%|█▉ | 13872/70000 [4:54:06<19:09:42, 1.23s/step] Training: 20%|█▉ | 13873/70000 [4:54:07<18:58:42, 1.22s/step] Training: 20%|█▉ | 13874/70000 [4:54:09<19:38:48, 1.26s/step] Training: 20%|█▉ | 13875/70000 [4:54:10<19:16:26, 1.24s/step] Training: 20%|█▉ | 13876/70000 [4:54:11<19:53:31, 1.28s/step] Training: 20%|█▉ | 13877/70000 [4:54:13<20:18:59, 1.30s/step] Training: 20%|█▉ | 13878/70000 [4:54:14<19:47:19, 1.27s/step] Training: 20%|█▉ | 13879/70000 [4:54:15<20:02:59, 1.29s/step] Training: 20%|█▉ | 13880/70000 [4:54:16<19:35:22, 1.26s/step] Training: 20%|█▉ | 13881/70000 [4:54:17<19:17:52, 1.24s/step] Training: 20%|█▉ | 13882/70000 [4:54:19<19:44:18, 1.27s/step] Training: 20%|█▉ | 13883/70000 [4:54:20<20:08:24, 1.29s/step] Training: 20%|█▉ | 13884/70000 [4:54:21<20:17:45, 1.30s/step] Training: 20%|█▉ | 13885/70000 [4:54:23<20:02:53, 1.29s/step] Training: 20%|█▉ | 13886/70000 [4:54:24<19:36:41, 1.26s/step] Training: 20%|█▉ | 13887/70000 [4:54:25<20:02:02, 1.29s/step] Training: 20%|█▉ | 13888/70000 [4:54:26<19:36:28, 1.26s/step] Training: 20%|█▉ | 13889/70000 [4:54:28<19:16:52, 1.24s/step] Training: 20%|█▉ | 13890/70000 [4:54:29<19:14:33, 1.23s/step] Training: 20%|█▉ | 13891/70000 [4:54:30<19:50:03, 1.27s/step] Training: 20%|█▉ | 13892/70000 [4:54:32<20:15:30, 1.30s/step] Training: 20%|█▉ | 13893/70000 [4:54:33<20:23:48, 1.31s/step] Training: 20%|█▉ | 13894/70000 [4:54:34<19:50:53, 1.27s/step] Training: 20%|█▉ | 13895/70000 [4:54:35<20:17:37, 1.30s/step] Training: 20%|█▉ | 13896/70000 [4:54:37<19:53:06, 1.28s/step] Training: 20%|█▉ | 13897/70000 [4:54:38<19:26:49, 1.25s/step] Training: 20%|█▉ | 13898/70000 [4:54:39<19:16:34, 1.24s/step] Training: 20%|█▉ | 13899/70000 [4:54:40<19:03:03, 1.22s/step] Training: 20%|█▉ | 13900/70000 [4:54:42<19:33:42, 1.26s/step]INFO 2026-03-13 01:04:34 ot_train.py:435 step:14K smpl:890K ep:3K epch:11.78 loss:0.125 grdn:11.212 lr:2.3e-05 updt_s:1.244 data_s:0.019 Training: 20%|█▉ | 13901/70000 [4:54:43<19:56:11, 1.28s/step] Training: 20%|█▉ | 13902/70000 [4:54:44<19:30:36, 1.25s/step] Training: 20%|█▉ | 13903/70000 [4:54:45<19:22:40, 1.24s/step] Training: 20%|█▉ | 13904/70000 [4:54:47<19:07:55, 1.23s/step] Training: 20%|█▉ | 13905/70000 [4:54:48<18:56:51, 1.22s/step] Training: 20%|█▉ | 13906/70000 [4:54:49<19:27:10, 1.25s/step] Training: 20%|█▉ | 13907/70000 [4:54:50<19:27:18, 1.25s/step] Training: 20%|█▉ | 13908/70000 [4:54:52<19:17:06, 1.24s/step] Training: 20%|█▉ | 13909/70000 [4:54:53<20:10:32, 1.29s/step] Training: 20%|█▉ | 13910/70000 [4:54:54<19:39:47, 1.26s/step] Training: 20%|█▉ | 13911/70000 [4:54:55<19:19:17, 1.24s/step] Training: 20%|█▉ | 13912/70000 [4:54:57<19:42:15, 1.26s/step] Training: 20%|█▉ | 13913/70000 [4:54:58<19:23:02, 1.24s/step] Training: 20%|█▉ | 13914/70000 [4:54:59<19:46:46, 1.27s/step] Training: 20%|█▉ | 13915/70000 [4:55:00<19:46:12, 1.27s/step] Training: 20%|█▉ | 13916/70000 [4:55:02<20:01:11, 1.29s/step] Training: 20%|█▉ | 13917/70000 [4:55:03<19:50:38, 1.27s/step] Training: 20%|█▉ | 13918/70000 [4:55:04<19:27:30, 1.25s/step] Training: 20%|█▉ | 13919/70000 [4:55:06<19:50:12, 1.27s/step] Training: 20%|█▉ | 13920/70000 [4:55:07<19:26:17, 1.25s/step] Training: 20%|█▉ | 13921/70000 [4:55:08<19:10:12, 1.23s/step] Training: 20%|█▉ | 13922/70000 [4:55:09<19:10:33, 1.23s/step] Training: 20%|█▉ | 13923/70000 [4:55:10<18:56:59, 1.22s/step] Training: 20%|█▉ | 13924/70000 [4:55:12<20:04:41, 1.29s/step] Training: 20%|█▉ | 13925/70000 [4:55:13<20:16:19, 1.30s/step] Training: 20%|█▉ | 13926/70000 [4:55:14<19:44:33, 1.27s/step] Training: 20%|█▉ | 13927/70000 [4:55:16<19:34:39, 1.26s/step] Training: 20%|█▉ | 13928/70000 [4:55:17<19:15:20, 1.24s/step] Training: 20%|█▉ | 13929/70000 [4:55:18<19:02:29, 1.22s/step] Training: 20%|█▉ | 13930/70000 [4:55:19<18:57:22, 1.22s/step] Training: 20%|█▉ | 13931/70000 [4:55:20<18:51:19, 1.21s/step] Training: 20%|█▉ | 13932/70000 [4:55:22<19:44:10, 1.27s/step] Training: 20%|█▉ | 13933/70000 [4:55:23<20:04:16, 1.29s/step] Training: 20%|█▉ | 13934/70000 [4:55:24<19:38:55, 1.26s/step] Training: 20%|█▉ | 13935/70000 [4:55:25<19:27:39, 1.25s/step] Training: 20%|█▉ | 13936/70000 [4:55:27<19:11:35, 1.23s/step] Training: 20%|█▉ | 13937/70000 [4:55:28<18:59:03, 1.22s/step] Training: 20%|█▉ | 13938/70000 [4:55:29<19:29:43, 1.25s/step] Training: 20%|█▉ | 13939/70000 [4:55:30<19:13:30, 1.23s/step] Training: 20%|█▉ | 13940/70000 [4:55:32<19:15:59, 1.24s/step] Training: 20%|█▉ | 13941/70000 [4:55:33<20:14:11, 1.30s/step] Training: 20%|█▉ | 13942/70000 [4:55:34<19:42:57, 1.27s/step] Training: 20%|█▉ | 13943/70000 [4:55:36<20:04:26, 1.29s/step] Training: 20%|█▉ | 13944/70000 [4:55:37<19:36:51, 1.26s/step] Training: 20%|█▉ | 13945/70000 [4:55:38<19:18:04, 1.24s/step] Training: 20%|█▉ | 13946/70000 [4:55:39<19:40:56, 1.26s/step] Training: 20%|█▉ | 13947/70000 [4:55:40<19:20:15, 1.24s/step] Training: 20%|█▉ | 13948/70000 [4:55:42<19:54:13, 1.28s/step] Training: 20%|█▉ | 13949/70000 [4:55:43<19:39:48, 1.26s/step] Training: 20%|█▉ | 13950/70000 [4:55:44<19:19:08, 1.24s/step] Training: 20%|█▉ | 13951/70000 [4:55:46<19:47:34, 1.27s/step] Training: 20%|█▉ | 13952/70000 [4:55:47<19:25:25, 1.25s/step] Training: 20%|█▉ | 13953/70000 [4:55:48<19:08:34, 1.23s/step] Training: 20%|█▉ | 13954/70000 [4:55:49<19:05:50, 1.23s/step] Training: 20%|█▉ | 13955/70000 [4:55:50<18:54:51, 1.21s/step] Training: 20%|█▉ | 13956/70000 [4:55:52<19:25:53, 1.25s/step] Training: 20%|█▉ | 13957/70000 [4:55:53<20:21:28, 1.31s/step] Training: 20%|█▉ | 13958/70000 [4:55:54<19:48:16, 1.27s/step] Training: 20%|█▉ | 13959/70000 [4:55:56<19:38:22, 1.26s/step] Training: 20%|█▉ | 13960/70000 [4:55:57<19:17:53, 1.24s/step] Training: 20%|█▉ | 13961/70000 [4:55:58<19:04:42, 1.23s/step] Training: 20%|█▉ | 13962/70000 [4:55:59<19:02:10, 1.22s/step] Training: 20%|█▉ | 13963/70000 [4:56:00<18:55:13, 1.22s/step] Training: 20%|█▉ | 13964/70000 [4:56:02<19:26:26, 1.25s/step] Training: 20%|█▉ | 13965/70000 [4:56:03<20:15:00, 1.30s/step] Training: 20%|█▉ | 13966/70000 [4:56:04<19:43:50, 1.27s/step] Training: 20%|█▉ | 13967/70000 [4:56:06<19:31:25, 1.25s/step] Training: 20%|█▉ | 13968/70000 [4:56:07<19:13:56, 1.24s/step] Training: 20%|█▉ | 13969/70000 [4:56:08<18:59:53, 1.22s/step] Training: 20%|█▉ | 13970/70000 [4:56:09<19:28:50, 1.25s/step] Training: 20%|█▉ | 13971/70000 [4:56:10<19:10:47, 1.23s/step] Training: 20%|█▉ | 13972/70000 [4:56:12<19:09:07, 1.23s/step] Training: 20%|█▉ | 13973/70000 [4:56:13<19:52:16, 1.28s/step] Training: 20%|█▉ | 13974/70000 [4:56:14<19:26:59, 1.25s/step] Training: 20%|█▉ | 13975/70000 [4:56:16<19:51:00, 1.28s/step] Training: 20%|█▉ | 13976/70000 [4:56:17<19:26:45, 1.25s/step] Training: 20%|█▉ | 13977/70000 [4:56:18<19:09:59, 1.23s/step] Training: 20%|█▉ | 13978/70000 [4:56:19<19:38:23, 1.26s/step] Training: 20%|█▉ | 13979/70000 [4:56:20<19:17:43, 1.24s/step] Training: 20%|█▉ | 13980/70000 [4:56:22<19:40:12, 1.26s/step] Training: 20%|█▉ | 13981/70000 [4:56:23<19:45:36, 1.27s/step] Training: 20%|█▉ | 13982/70000 [4:56:24<19:22:39, 1.25s/step] Training: 20%|█▉ | 13983/70000 [4:56:26<19:49:47, 1.27s/step] Training: 20%|█▉ | 13984/70000 [4:56:27<19:26:32, 1.25s/step] Training: 20%|█▉ | 13985/70000 [4:56:28<19:07:39, 1.23s/step] Training: 20%|█▉ | 13986/70000 [4:56:29<19:07:26, 1.23s/step] Training: 20%|█▉ | 13987/70000 [4:56:30<18:56:28, 1.22s/step] Training: 20%|█▉ | 13988/70000 [4:56:32<19:27:19, 1.25s/step] Training: 20%|█▉ | 13989/70000 [4:56:33<20:22:53, 1.31s/step] Training: 20%|█▉ | 13990/70000 [4:56:34<19:48:49, 1.27s/step] Training: 20%|█▉ | 13991/70000 [4:56:36<19:39:51, 1.26s/step] Training: 20%|█▉ | 13992/70000 [4:56:37<19:19:03, 1.24s/step] Training: 20%|█▉ | 13993/70000 [4:56:38<19:03:43, 1.23s/step] Training: 20%|█▉ | 13994/70000 [4:56:39<18:59:33, 1.22s/step] Training: 20%|█▉ | 13995/70000 [4:56:40<18:50:02, 1.21s/step] Training: 20%|█▉ | 13996/70000 [4:56:42<19:24:22, 1.25s/step] Training: 20%|█▉ | 13997/70000 [4:56:43<19:48:12, 1.27s/step] Training: 20%|█▉ | 13998/70000 [4:56:44<20:06:51, 1.29s/step] Training: 20%|█▉ | 13999/70000 [4:56:46<19:40:57, 1.27s/step] Training: 20%|██ | 14000/70000 [4:56:47<19:20:59, 1.24s/step]INFO 2026-03-13 01:06:39 ot_train.py:435 step:14K smpl:896K ep:3K epch:11.87 loss:0.127 grdn:12.307 lr:2.3e-05 updt_s:1.230 data_s:0.019 Training: 20%|██ | 14001/70000 [4:56:48<19:05:34, 1.23s/step] Training: 20%|██ | 14002/70000 [4:56:49<19:34:21, 1.26s/step] Training: 20%|██ | 14003/70000 [4:56:50<19:13:55, 1.24s/step] Training: 20%|██ | 14004/70000 [4:56:52<19:38:24, 1.26s/step] Training: 20%|██ | 14005/70000 [4:56:53<20:04:25, 1.29s/step] Training: 20%|██ | 14006/70000 [4:56:54<20:01:41, 1.29s/step] Training: 20%|██ | 14007/70000 [4:56:56<20:13:00, 1.30s/step] Training: 20%|██ | 14008/70000 [4:56:57<19:41:30, 1.27s/step] Training: 20%|██ | 14009/70000 [4:56:58<19:18:57, 1.24s/step] Training: 20%|██ | 14010/70000 [4:56:59<19:41:05, 1.27s/step] Training: 20%|██ | 14011/70000 [4:57:01<19:18:31, 1.24s/step] Training: 20%|██ | 14012/70000 [4:57:02<19:42:04, 1.27s/step] Training: 20%|██ | 14013/70000 [4:57:03<19:35:24, 1.26s/step] Training: 20%|██ | 14014/70000 [4:57:05<20:00:57, 1.29s/step] Training: 20%|██ | 14015/70000 [4:57:06<20:08:56, 1.30s/step] Training: 20%|██ | 14016/70000 [4:57:07<19:39:10, 1.26s/step] Training: 20%|██ | 14017/70000 [4:57:08<19:18:54, 1.24s/step] Training: 20%|██ | 14018/70000 [4:57:09<19:14:49, 1.24s/step] Training: 20%|██ | 14019/70000 [4:57:11<19:01:07, 1.22s/step] Training: 20%|██ | 14020/70000 [4:57:12<19:31:25, 1.26s/step] Training: 20%|██ | 14021/70000 [4:57:13<19:52:02, 1.28s/step] Training: 20%|██ | 14022/70000 [4:57:15<20:11:50, 1.30s/step] Training: 20%|██ | 14023/70000 [4:57:16<19:51:54, 1.28s/step] Training: 20%|██ | 14024/70000 [4:57:17<19:27:48, 1.25s/step] Training: 20%|██ | 14025/70000 [4:57:18<19:11:06, 1.23s/step] Training: 20%|██ | 14026/70000 [4:57:20<19:12:17, 1.24s/step] Training: 20%|██ | 14027/70000 [4:57:21<19:01:51, 1.22s/step] Training: 20%|██ | 14028/70000 [4:57:22<19:34:39, 1.26s/step] Training: 20%|██ | 14029/70000 [4:57:23<19:55:29, 1.28s/step] Training: 20%|██ | 14030/70000 [4:57:25<19:29:49, 1.25s/step] Training: 20%|██ | 14031/70000 [4:57:26<19:54:07, 1.28s/step] Training: 20%|██ | 14032/70000 [4:57:27<19:25:26, 1.25s/step] Training: 20%|██ | 14033/70000 [4:57:28<19:09:06, 1.23s/step] Training: 20%|██ | 14034/70000 [4:57:30<19:36:14, 1.26s/step] Training: 20%|██ | 14035/70000 [4:57:31<19:15:53, 1.24s/step] Training: 20%|██ | 14036/70000 [4:57:32<19:41:14, 1.27s/step] Training: 20%|██ | 14037/70000 [4:57:33<19:30:37, 1.26s/step] Training: 20%|██ | 14038/70000 [4:57:35<19:12:47, 1.24s/step] Training: 20%|██ | 14039/70000 [4:57:36<20:05:06, 1.29s/step] Training: 20%|██ | 14040/70000 [4:57:37<19:35:37, 1.26s/step] Training: 20%|██ | 14041/70000 [4:57:38<19:16:47, 1.24s/step] Training: 20%|██ | 14042/70000 [4:57:40<19:46:17, 1.27s/step] Training: 20%|██ | 14043/70000 [4:57:41<19:25:12, 1.25s/step] Training: 20%|██ | 14044/70000 [4:57:42<19:49:35, 1.28s/step] Training: 20%|██ | 14045/70000 [4:57:43<19:34:42, 1.26s/step] Training: 20%|██ | 14046/70000 [4:57:45<19:14:45, 1.24s/step] Training: 20%|██ | 14047/70000 [4:57:46<19:51:58, 1.28s/step] Training: 20%|██ | 14048/70000 [4:57:47<19:27:39, 1.25s/step] Training: 20%|██ | 14049/70000 [4:57:48<19:10:04, 1.23s/step] Training: 20%|██ | 14050/70000 [4:57:50<19:05:47, 1.23s/step] Training: 20%|██ | 14051/70000 [4:57:51<18:55:44, 1.22s/step] Training: 20%|██ | 14052/70000 [4:57:52<19:31:54, 1.26s/step] Training: 20%|██ | 14053/70000 [4:57:54<19:51:31, 1.28s/step] Training: 20%|██ | 14054/70000 [4:57:55<19:27:56, 1.25s/step] Training: 20%|██ | 14055/70000 [4:57:56<19:43:07, 1.27s/step] Training: 20%|██ | 14056/70000 [4:57:57<19:18:47, 1.24s/step] Training: 20%|██ | 14057/70000 [4:57:58<19:04:08, 1.23s/step] Training: 20%|██ | 14058/70000 [4:58:00<19:00:18, 1.22s/step] Training: 20%|██ | 14059/70000 [4:58:01<18:52:52, 1.22s/step] Training: 20%|██ | 14060/70000 [4:58:02<19:23:22, 1.25s/step] Training: 20%|██ | 14061/70000 [4:58:03<19:48:48, 1.28s/step] Training: 20%|██ | 14062/70000 [4:58:05<19:24:48, 1.25s/step] Training: 20%|██ | 14063/70000 [4:58:06<19:13:11, 1.24s/step] Training: 20%|██ | 14064/70000 [4:58:07<19:48:58, 1.28s/step] Training: 20%|██ | 14065/70000 [4:58:08<19:22:57, 1.25s/step] Training: 20%|██ | 14066/70000 [4:58:10<19:50:33, 1.28s/step] Training: 20%|██ | 14067/70000 [4:58:11<19:26:48, 1.25s/step] Training: 20%|██ | 14068/70000 [4:58:12<19:47:23, 1.27s/step] Training: 20%|██ | 14069/70000 [4:58:13<19:37:58, 1.26s/step] Training: 20%|██ | 14070/70000 [4:58:15<19:16:58, 1.24s/step] Training: 20%|██ | 14071/70000 [4:58:16<19:42:46, 1.27s/step] Training: 20%|██ | 14072/70000 [4:58:17<19:42:36, 1.27s/step] Training: 20%|██ | 14073/70000 [4:58:18<19:20:07, 1.24s/step] Training: 20%|██ | 14074/70000 [4:58:20<19:43:08, 1.27s/step] Training: 20%|██ | 14075/70000 [4:58:21<19:21:03, 1.25s/step] Training: 20%|██ | 14076/70000 [4:58:22<19:47:55, 1.27s/step] Training: 20%|██ | 14077/70000 [4:58:24<19:34:23, 1.26s/step] Training: 20%|██ | 14078/70000 [4:58:25<19:14:26, 1.24s/step] Training: 20%|██ | 14079/70000 [4:58:26<19:41:34, 1.27s/step] Training: 20%|██ | 14080/70000 [4:58:27<19:20:59, 1.25s/step] Training: 20%|██ | 14081/70000 [4:58:29<19:51:07, 1.28s/step] Training: 20%|██ | 14082/70000 [4:58:30<19:31:35, 1.26s/step] Training: 20%|██ | 14083/70000 [4:58:31<19:14:35, 1.24s/step] Training: 20%|██ | 14084/70000 [4:58:32<19:40:39, 1.27s/step] Training: 20%|██ | 14085/70000 [4:58:34<20:00:12, 1.29s/step] Training: 20%|██ | 14086/70000 [4:58:35<19:32:41, 1.26s/step] Training: 20%|██ | 14087/70000 [4:58:36<19:24:22, 1.25s/step] Training: 20%|██ | 14088/70000 [4:58:37<19:53:21, 1.28s/step] Training: 20%|██ | 14089/70000 [4:58:39<19:25:28, 1.25s/step] Training: 20%|██ | 14090/70000 [4:58:40<19:15:26, 1.24s/step] Training: 20%|██ | 14091/70000 [4:58:41<19:01:48, 1.23s/step] Training: 20%|██ | 14092/70000 [4:58:42<19:34:08, 1.26s/step] Training: 20%|██ | 14093/70000 [4:58:44<19:54:23, 1.28s/step] Training: 20%|██ | 14094/70000 [4:58:45<19:34:11, 1.26s/step] Training: 20%|██ | 14095/70000 [4:58:46<19:22:24, 1.25s/step] Training: 20%|██ | 14096/70000 [4:58:47<19:07:27, 1.23s/step] Training: 20%|██ | 14097/70000 [4:58:49<19:40:23, 1.27s/step] Training: 20%|██ | 14098/70000 [4:58:50<19:53:02, 1.28s/step] Training: 20%|██ | 14099/70000 [4:58:51<19:27:19, 1.25s/step] Training: 20%|██ | 14100/70000 [4:58:53<19:49:31, 1.28s/step]INFO 2026-03-13 01:08:45 ot_train.py:435 step:14K smpl:902K ep:3K epch:11.95 loss:0.127 grdn:12.241 lr:2.3e-05 updt_s:1.236 data_s:0.019 Training: 20%|██ | 14101/70000 [4:58:54<19:36:41, 1.26s/step] Training: 20%|██ | 14102/70000 [4:58:55<19:16:11, 1.24s/step] Training: 20%|██ | 14103/70000 [4:58:56<19:41:51, 1.27s/step] Training: 20%|██ | 14104/70000 [4:58:57<19:19:52, 1.25s/step] Training: 20%|██ | 14105/70000 [4:58:59<19:53:39, 1.28s/step] Training: 20%|██ | 14106/70000 [4:59:00<19:25:00, 1.25s/step] Training: 20%|██ | 14107/70000 [4:59:01<19:47:41, 1.27s/step] Training: 20%|██ | 14108/70000 [4:59:03<20:05:29, 1.29s/step] Training: 20%|██ | 14109/70000 [4:59:04<19:59:21, 1.29s/step] Training: 20%|██ | 14110/70000 [4:59:05<19:33:04, 1.26s/step] Training: 20%|██ | 14111/70000 [4:59:06<19:53:03, 1.28s/step] Training: 20%|██ | 14112/70000 [4:59:08<19:27:13, 1.25s/step] Training: 20%|██ | 14113/70000 [4:59:09<19:10:54, 1.24s/step] Training: 20%|██ | 14114/70000 [4:59:10<18:56:51, 1.22s/step] Training: 20%|██ | 14115/70000 [4:59:11<19:23:09, 1.25s/step] Training: 20%|██ | 14116/70000 [4:59:13<19:45:05, 1.27s/step] Training: 20%|██ | 14117/70000 [4:59:14<19:34:31, 1.26s/step] Training: 20%|██ | 14118/70000 [4:59:15<19:39:28, 1.27s/step] Training: 20%|██ | 14119/70000 [4:59:16<19:30:57, 1.26s/step] Training: 20%|██ | 14120/70000 [4:59:18<19:11:53, 1.24s/step] Training: 20%|██ | 14121/70000 [4:59:19<19:15:53, 1.24s/step] Training: 20%|██ | 14122/70000 [4:59:20<19:00:43, 1.22s/step] Training: 20%|██ | 14123/70000 [4:59:21<18:50:52, 1.21s/step] Training: 20%|██ | 14124/70000 [4:59:23<19:26:05, 1.25s/step] Training: 20%|██ | 14125/70000 [4:59:24<19:09:36, 1.23s/step] Training: 20%|██ | 14126/70000 [4:59:25<19:31:41, 1.26s/step] Training: 20%|██ | 14127/70000 [4:59:26<19:23:20, 1.25s/step] Training: 20%|██ | 14128/70000 [4:59:28<19:06:16, 1.23s/step] Training: 20%|██ | 14129/70000 [4:59:29<19:08:32, 1.23s/step] Training: 20%|██ | 14130/70000 [4:59:30<18:52:43, 1.22s/step] Training: 20%|██ | 14131/70000 [4:59:31<19:15:27, 1.24s/step] Training: 20%|██ | 14132/70000 [4:59:33<19:38:56, 1.27s/step] Training: 20%|██ | 14133/70000 [4:59:34<19:26:59, 1.25s/step] Training: 20%|██ | 14134/70000 [4:59:35<19:08:10, 1.23s/step] Training: 20%|██ | 14135/70000 [4:59:36<19:38:25, 1.27s/step] Training: 20%|██ | 14136/70000 [4:59:38<19:19:31, 1.25s/step] Training: 20%|██ | 14137/70000 [4:59:39<19:01:45, 1.23s/step] Training: 20%|██ | 14138/70000 [4:59:40<19:36:08, 1.26s/step] Training: 20%|██ | 14139/70000 [4:59:41<19:51:46, 1.28s/step] Training: 20%|██ | 14140/70000 [4:59:43<20:06:50, 1.30s/step] Training: 20%|██ | 14141/70000 [4:59:44<19:52:51, 1.28s/step] Training: 20%|██ | 14142/70000 [4:59:45<19:26:51, 1.25s/step] Training: 20%|██ | 14143/70000 [4:59:46<19:47:46, 1.28s/step] Training: 20%|██ | 14144/70000 [4:59:48<19:23:41, 1.25s/step] Training: 20%|██ | 14145/70000 [4:59:49<19:06:21, 1.23s/step] Training: 20%|██ | 14146/70000 [4:59:50<19:25:14, 1.25s/step] Training: 20%|██ | 14147/70000 [4:59:51<19:17:02, 1.24s/step] Training: 20%|██ | 14148/70000 [4:59:53<19:40:05, 1.27s/step] Training: 20%|██ | 14149/70000 [4:59:54<20:00:12, 1.29s/step] Training: 20%|██ | 14150/70000 [4:59:55<19:32:45, 1.26s/step] Training: 20%|██ | 14151/70000 [4:59:56<19:25:06, 1.25s/step] Training: 20%|██ | 14152/70000 [4:59:58<19:07:07, 1.23s/step] Training: 20%|██ | 14153/70000 [4:59:59<18:53:27, 1.22s/step] Training: 20%|██ | 14154/70000 [5:00:00<19:31:52, 1.26s/step] Training: 20%|██ | 14155/70000 [5:00:02<19:49:45, 1.28s/step] Training: 20%|██ | 14156/70000 [5:00:03<20:03:59, 1.29s/step] Training: 20%|██ | 14157/70000 [5:00:04<20:18:16, 1.31s/step] Training: 20%|██ | 14158/70000 [5:00:05<19:43:46, 1.27s/step] Training: 20%|██ | 14159/70000 [5:00:07<19:28:45, 1.26s/step] Training: 20%|██ | 14160/70000 [5:00:09<24:05:30, 1.55s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 20%|██ | 14161/70000 [5:00:13<34:30:33, 2.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=38230 Training: 20%|██ | 14162/70000 [5:00:14<30:39:43, 1.98s/step] Training: 20%|██ | 14163/70000 [5:00:15<27:49:44, 1.79s/step] Training: 20%|██ | 14164/70000 [5:00:17<25:35:19, 1.65s/step] Training: 20%|██ | 14165/70000 [5:00:18<24:43:07, 1.59s/step] Training: 20%|██ | 14166/70000 [5:00:19<22:49:10, 1.47s/step] Training: 20%|██ | 14167/70000 [5:00:21<22:25:25, 1.45s/step] Training: 20%|██ | 14168/70000 [5:00:22<21:14:14, 1.37s/step] Training: 20%|██ | 14169/70000 [5:00:23<20:23:50, 1.32s/step] Training: 20%|██ | 14170/70000 [5:00:24<19:48:25, 1.28s/step] Training: 20%|██ | 14171/70000 [5:00:26<20:28:28, 1.32s/step] Training: 20%|██ | 14172/70000 [5:00:27<20:35:32, 1.33s/step] Training: 20%|██ | 14173/70000 [5:00:28<20:38:40, 1.33s/step] Training: 20%|██ | 14174/70000 [5:00:30<19:58:59, 1.29s/step] Training: 20%|██ | 14175/70000 [5:00:31<20:11:30, 1.30s/step] Training: 20%|██ | 14176/70000 [5:00:32<19:39:34, 1.27s/step] Training: 20%|██ | 14177/70000 [5:00:33<19:18:25, 1.25s/step] Training: 20%|██ | 14178/70000 [5:00:35<19:02:22, 1.23s/step] Training: 20%|██ | 14179/70000 [5:00:36<19:35:57, 1.26s/step] Training: 20%|██ | 14180/70000 [5:00:37<19:56:02, 1.29s/step] Training: 20%|██ | 14181/70000 [5:00:39<20:15:21, 1.31s/step] Training: 20%|██ | 14182/70000 [5:00:40<19:42:52, 1.27s/step] Training: 20%|██ | 14183/70000 [5:00:41<19:36:20, 1.26s/step] Training: 20%|██ | 14184/70000 [5:00:42<19:14:45, 1.24s/step] Training: 20%|██ | 14185/70000 [5:00:43<19:00:30, 1.23s/step] Training: 20%|██ | 14186/70000 [5:00:45<18:50:26, 1.22s/step] Training: 20%|██ | 14187/70000 [5:00:46<19:48:25, 1.28s/step] Training: 20%|██ | 14188/70000 [5:00:47<20:04:16, 1.29s/step] Training: 20%|██ | 14189/70000 [5:00:49<20:39:51, 1.33s/step] Training: 20%|██ | 14190/70000 [5:00:50<19:59:17, 1.29s/step] Training: 20%|██ | 14191/70000 [5:00:51<19:39:03, 1.27s/step] Training: 20%|██ | 14192/70000 [5:00:52<19:17:57, 1.24s/step] Training: 20%|██ | 14193/70000 [5:00:54<19:02:21, 1.23s/step] Training: 20%|██ | 14194/70000 [5:00:55<18:51:28, 1.22s/step] Training: 20%|██ | 14195/70000 [5:00:56<19:31:38, 1.26s/step] Training: 20%|██ | 14196/70000 [5:00:57<19:48:48, 1.28s/step] Training: 20%|██ | 14197/70000 [5:00:59<20:33:04, 1.33s/step] Training: 20%|██ | 14198/70000 [5:01:00<19:55:12, 1.29s/step] Training: 20%|██ | 14199/70000 [5:01:01<20:08:33, 1.30s/step] Training: 20%|██ | 14200/70000 [5:01:03<19:38:02, 1.27s/step]INFO 2026-03-13 01:10:55 ot_train.py:435 step:14K smpl:909K ep:3K epch:12.04 loss:0.124 grdn:12.471 lr:2.3e-05 updt_s:1.243 data_s:0.055 Training: 20%|██ | 14201/70000 [5:01:04<19:16:38, 1.24s/step] Training: 20%|██ | 14202/70000 [5:01:05<19:02:10, 1.23s/step] Training: 20%|██ | 14203/70000 [5:01:06<19:29:40, 1.26s/step] Training: 20%|██ | 14204/70000 [5:01:08<19:52:28, 1.28s/step] Training: 20%|██ | 14205/70000 [5:01:09<20:06:12, 1.30s/step] Training: 20%|██ | 14206/70000 [5:01:10<19:36:11, 1.26s/step] Training: 20%|██ | 14207/70000 [5:01:11<19:56:22, 1.29s/step] Training: 20%|██ | 14208/70000 [5:01:13<19:29:25, 1.26s/step] Training: 20%|██ | 14209/70000 [5:01:14<19:09:54, 1.24s/step] Training: 20%|██ | 14210/70000 [5:01:15<18:56:22, 1.22s/step] Training: 20%|██ | 14211/70000 [5:01:16<18:54:06, 1.22s/step] Training: 20%|██ | 14212/70000 [5:01:18<19:54:04, 1.28s/step] Training: 20%|██ | 14213/70000 [5:01:19<20:10:55, 1.30s/step] Training: 20%|██ | 14214/70000 [5:01:20<19:38:22, 1.27s/step] Training: 20%|██ | 14215/70000 [5:01:21<19:27:40, 1.26s/step] Training: 20%|██ | 14216/70000 [5:01:23<19:09:34, 1.24s/step] Training: 20%|██ | 14217/70000 [5:01:24<18:55:46, 1.22s/step] Training: 20%|██ | 14218/70000 [5:01:25<18:45:54, 1.21s/step] Training: 20%|██ | 14219/70000 [5:01:26<19:19:04, 1.25s/step] Training: 20%|██ | 14220/70000 [5:01:28<20:08:23, 1.30s/step] Training: 20%|██ | 14221/70000 [5:01:29<20:17:51, 1.31s/step] Training: 20%|██ | 14222/70000 [5:01:30<19:43:14, 1.27s/step] Training: 20%|██ | 14223/70000 [5:01:31<19:26:18, 1.25s/step] Training: 20%|██ | 14224/70000 [5:01:33<19:08:15, 1.24s/step] Training: 20%|██ | 14225/70000 [5:01:34<18:55:01, 1.22s/step] Training: 20%|██ | 14226/70000 [5:01:35<18:46:23, 1.21s/step] Training: 20%|██ | 14227/70000 [5:01:36<19:21:05, 1.25s/step] Training: 20%|██ | 14228/70000 [5:01:38<19:50:33, 1.28s/step] Training: 20%|██ | 14229/70000 [5:01:39<20:11:08, 1.30s/step] Training: 20%|██ | 14230/70000 [5:01:40<19:39:05, 1.27s/step] Training: 20%|██ | 14231/70000 [5:01:42<19:56:56, 1.29s/step] Training: 20%|██ | 14232/70000 [5:01:43<19:29:21, 1.26s/step] Training: 20%|██ | 14233/70000 [5:01:44<19:09:19, 1.24s/step] Training: 20%|██ | 14234/70000 [5:01:45<18:55:35, 1.22s/step] Training: 20%|██ | 14235/70000 [5:01:46<19:26:04, 1.25s/step] Training: 20%|██ | 14236/70000 [5:01:48<19:49:09, 1.28s/step] Training: 20%|██ | 14237/70000 [5:01:49<20:28:29, 1.32s/step] Training: 20%|██ | 14238/70000 [5:01:50<19:51:35, 1.28s/step] Training: 20%|██ | 14239/70000 [5:01:52<20:05:34, 1.30s/step] Training: 20%|██ | 14240/70000 [5:01:53<19:35:28, 1.26s/step] Training: 20%|██ | 14241/70000 [5:01:54<19:14:10, 1.24s/step] Training: 20%|██ | 14242/70000 [5:01:55<18:58:43, 1.23s/step] Training: 20%|██ | 14243/70000 [5:01:57<18:55:39, 1.22s/step] Training: 20%|██ | 14244/70000 [5:01:58<19:23:43, 1.25s/step] Training: 20%|██ | 14245/70000 [5:01:59<20:20:00, 1.31s/step] Training: 20%|██ | 14246/70000 [5:02:01<19:46:10, 1.28s/step] Training: 20%|██ | 14247/70000 [5:02:02<19:33:50, 1.26s/step] Training: 20%|██ | 14248/70000 [5:02:03<19:13:16, 1.24s/step] Training: 20%|██ | 14249/70000 [5:02:04<18:57:16, 1.22s/step] Training: 20%|██ | 14250/70000 [5:02:05<18:46:21, 1.21s/step] Training: 20%|██ | 14251/70000 [5:02:07<19:16:50, 1.25s/step] Training: 20%|██ | 14252/70000 [5:02:08<19:52:07, 1.28s/step] Training: 20%|██ | 14253/70000 [5:02:09<20:07:36, 1.30s/step] Training: 20%|██ | 14254/70000 [5:02:11<19:36:41, 1.27s/step] Training: 20%|██ | 14255/70000 [5:02:12<19:19:51, 1.25s/step] Training: 20%|██ | 14256/70000 [5:02:13<19:04:06, 1.23s/step] Training: 20%|██ | 14257/70000 [5:02:14<18:51:45, 1.22s/step] Training: 20%|██ | 14258/70000 [5:02:15<18:43:01, 1.21s/step] Training: 20%|██ | 14259/70000 [5:02:17<19:16:35, 1.24s/step] Training: 20%|██ | 14260/70000 [5:02:18<19:41:07, 1.27s/step] Training: 20%|██ | 14261/70000 [5:02:19<20:08:29, 1.30s/step] Training: 20%|██ | 14262/70000 [5:02:21<19:37:27, 1.27s/step] Training: 20%|██ | 14263/70000 [5:02:22<19:51:52, 1.28s/step] Training: 20%|██ | 14264/70000 [5:02:23<19:28:29, 1.26s/step] Training: 20%|██ | 14265/70000 [5:02:24<19:10:17, 1.24s/step] Training: 20%|██ | 14266/70000 [5:02:25<18:56:21, 1.22s/step] Training: 20%|██ | 14267/70000 [5:02:27<18:59:42, 1.23s/step] Training: 20%|██ | 14268/70000 [5:02:28<19:29:23, 1.26s/step] Training: 20%|██ | 14269/70000 [5:02:29<19:51:02, 1.28s/step] Training: 20%|██ | 14270/70000 [5:02:31<19:26:02, 1.26s/step] Training: 20%|██ | 14271/70000 [5:02:32<19:46:08, 1.28s/step] Training: 20%|██ | 14272/70000 [5:02:33<19:21:50, 1.25s/step] Training: 20%|██ | 14273/70000 [5:02:34<19:05:52, 1.23s/step] Training: 20%|██ | 14274/70000 [5:02:35<18:53:12, 1.22s/step] Training: 20%|██ | 14275/70000 [5:02:37<18:50:57, 1.22s/step] Training: 20%|██ | 14276/70000 [5:02:38<19:24:05, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=51669 Training: 20%|██ | 14277/70000 [5:02:39<19:45:45, 1.28s/step] Training: 20%|██ | 14278/70000 [5:02:41<20:03:34, 1.30s/step] Training: 20%|██ | 14279/70000 [5:02:42<19:41:12, 1.27s/step] Training: 20%|██ | 14280/70000 [5:02:43<19:17:53, 1.25s/step] Training: 20%|██ | 14281/70000 [5:02:44<19:02:31, 1.23s/step] Training: 20%|██ | 14282/70000 [5:02:45<18:50:45, 1.22s/step] Training: 20%|██ | 14283/70000 [5:02:47<19:20:01, 1.25s/step] Training: 20%|██ | 14284/70000 [5:02:48<19:53:03, 1.28s/step] Training: 20%|██ | 14285/70000 [5:02:49<20:06:21, 1.30s/step] Training: 20%|██ | 14286/70000 [5:02:51<19:54:46, 1.29s/step] Training: 20%|██ | 14287/70000 [5:02:52<19:39:35, 1.27s/step] Training: 20%|██ | 14288/70000 [5:02:53<19:18:11, 1.25s/step] Training: 20%|██ | 14289/70000 [5:02:54<19:02:33, 1.23s/step] Training: 20%|██ | 14290/70000 [5:02:56<18:51:18, 1.22s/step] Training: 20%|██ | 14291/70000 [5:02:57<19:22:02, 1.25s/step] Training: 20%|██ | 14292/70000 [5:02:58<19:42:21, 1.27s/step] Training: 20%|██ | 14293/70000 [5:03:00<20:08:38, 1.30s/step] Training: 20%|██ | 14294/70000 [5:03:01<19:37:02, 1.27s/step] Training: 20%|██ | 14295/70000 [5:03:02<20:28:50, 1.32s/step] Training: 20%|██ | 14296/70000 [5:03:03<19:51:11, 1.28s/step] Training: 20%|██ | 14297/70000 [5:03:05<19:25:16, 1.26s/step] Training: 20%|██ | 14298/70000 [5:03:06<19:06:36, 1.24s/step] Training: 20%|██ | 14299/70000 [5:03:07<19:03:12, 1.23s/step] Training: 20%|██ | 14300/70000 [5:03:08<19:32:20, 1.26s/step]INFO 2026-03-13 01:13:00 ot_train.py:435 step:14K smpl:915K ep:3K epch:12.12 loss:0.105 grdn:10.747 lr:2.3e-05 updt_s:1.236 data_s:0.019 Training: 20%|██ | 14301/70000 [5:03:10<19:52:16, 1.28s/step] Training: 20%|██ | 14302/70000 [5:03:11<20:15:57, 1.31s/step] Training: 20%|██ | 14303/70000 [5:03:12<20:20:49, 1.32s/step] Training: 20%|██ | 14304/70000 [5:03:14<19:46:02, 1.28s/step] Training: 20%|██ | 14305/70000 [5:03:15<19:21:38, 1.25s/step] Training: 20%|██ | 14306/70000 [5:03:16<19:06:44, 1.24s/step] Training: 20%|██ | 14307/70000 [5:03:17<18:56:10, 1.22s/step] Training: 20%|██ | 14308/70000 [5:03:18<19:27:38, 1.26s/step] Training: 20%|██ | 14309/70000 [5:03:20<19:47:50, 1.28s/step] Training: 20%|██ | 14310/70000 [5:03:21<19:22:43, 1.25s/step] Training: 20%|██ | 14311/70000 [5:03:22<19:47:44, 1.28s/step] Training: 20%|██ | 14312/70000 [5:03:24<19:20:07, 1.25s/step] Training: 20%|██ | 14313/70000 [5:03:25<19:03:00, 1.23s/step] Training: 20%|██ | 14314/70000 [5:03:26<18:52:57, 1.22s/step] Training: 20%|██ | 14315/70000 [5:03:27<19:22:44, 1.25s/step] Training: 20%|██ | 14316/70000 [5:03:29<19:51:58, 1.28s/step] Training: 20%|██ | 14317/70000 [5:03:30<20:04:31, 1.30s/step] Training: 20%|██ | 14318/70000 [5:03:31<19:36:15, 1.27s/step] Training: 20%|██ | 14319/70000 [5:03:32<19:57:09, 1.29s/step] Training: 20%|██ | 14320/70000 [5:03:34<19:28:53, 1.26s/step] Training: 20%|██ | 14321/70000 [5:03:35<19:11:19, 1.24s/step] Training: 20%|██ | 14322/70000 [5:03:36<18:55:48, 1.22s/step] Training: 20%|██ | 14323/70000 [5:03:37<19:25:45, 1.26s/step] Training: 20%|██ | 14324/70000 [5:03:39<19:45:33, 1.28s/step] Training: 20%|██ | 14325/70000 [5:03:40<20:11:54, 1.31s/step] Training: 20%|██ | 14326/70000 [5:03:41<19:39:29, 1.27s/step] Training: 20%|██ | 14327/70000 [5:03:42<19:16:34, 1.25s/step] Training: 20%|██ | 14328/70000 [5:03:44<19:38:23, 1.27s/step] Training: 20%|██ | 14329/70000 [5:03:45<19:18:10, 1.25s/step] Training: 20%|██ | 14330/70000 [5:03:46<19:00:08, 1.23s/step] Training: 20%|██ | 14331/70000 [5:03:47<19:00:22, 1.23s/step] Training: 20%|██ | 14332/70000 [5:03:49<19:27:32, 1.26s/step] Training: 20%|██ | 14333/70000 [5:03:50<19:44:18, 1.28s/step] Training: 20%|██ | 14334/70000 [5:03:51<19:19:19, 1.25s/step] Training: 20%|██ | 14335/70000 [5:03:53<19:58:18, 1.29s/step] Training: 20%|██ | 14336/70000 [5:03:54<19:45:35, 1.28s/step] Training: 20%|██ | 14337/70000 [5:03:55<19:21:06, 1.25s/step] Training: 20%|██ | 14338/70000 [5:03:56<19:04:07, 1.23s/step] Training: 20%|██ | 14339/70000 [5:03:57<19:06:11, 1.24s/step] Training: 20%|██ | 14340/70000 [5:03:59<19:34:12, 1.27s/step] Training: 20%|██ | 14341/70000 [5:04:00<19:52:35, 1.29s/step] Training: 20%|██ | 14342/70000 [5:04:01<19:25:49, 1.26s/step] Training: 20%|██ | 14343/70000 [5:04:03<19:26:11, 1.26s/step] Training: 20%|██ | 14344/70000 [5:04:04<19:10:51, 1.24s/step] Training: 20%|██ | 14345/70000 [5:04:05<18:57:11, 1.23s/step] Training: 20%|██ | 14346/70000 [5:04:06<18:47:25, 1.22s/step] Training: 20%|██ | 14347/70000 [5:04:07<19:22:08, 1.25s/step] Training: 20%|██ | 14348/70000 [5:04:09<19:52:48, 1.29s/step] Training: 20%|██ | 14349/70000 [5:04:10<20:06:52, 1.30s/step] Training: 20%|██ | 14350/70000 [5:04:11<19:36:29, 1.27s/step] Training: 21%|██ | 14351/70000 [5:04:13<19:22:24, 1.25s/step] Training: 21%|██ | 14352/70000 [5:04:14<20:17:09, 1.31s/step] Training: 21%|██ | 14353/70000 [5:04:15<19:42:33, 1.28s/step] Training: 21%|██ | 14354/70000 [5:04:16<19:19:09, 1.25s/step] Training: 21%|██ | 14355/70000 [5:04:18<19:50:03, 1.28s/step] Training: 21%|██ | 14356/70000 [5:04:19<20:04:28, 1.30s/step] Training: 21%|██ | 14357/70000 [5:04:20<20:23:33, 1.32s/step] Training: 21%|██ | 14358/70000 [5:04:22<19:47:00, 1.28s/step] Training: 21%|██ | 14359/70000 [5:04:23<19:21:53, 1.25s/step] Training: 21%|██ | 14360/70000 [5:04:24<20:11:45, 1.31s/step] Training: 21%|██ | 14361/70000 [5:04:25<19:38:55, 1.27s/step] Training: 21%|██ | 14362/70000 [5:04:27<19:15:41, 1.25s/step] Training: 21%|██ | 14363/70000 [5:04:28<19:57:45, 1.29s/step] Training: 21%|██ | 14364/70000 [5:04:29<20:06:42, 1.30s/step] Training: 21%|██ | 14365/70000 [5:04:31<19:55:17, 1.29s/step] Training: 21%|██ | 14366/70000 [5:04:32<19:28:38, 1.26s/step] Training: 21%|██ | 14367/70000 [5:04:33<19:50:17, 1.28s/step] Training: 21%|██ | 14368/70000 [5:04:35<20:00:34, 1.29s/step] Training: 21%|██ | 14369/70000 [5:04:36<20:21:00, 1.32s/step] Training: 21%|██ | 14370/70000 [5:04:37<19:43:02, 1.28s/step] Training: 21%|██ | 14371/70000 [5:04:38<19:37:56, 1.27s/step] Training: 21%|██ | 14372/70000 [5:04:40<19:43:48, 1.28s/step] Training: 21%|██ | 14373/70000 [5:04:41<20:02:31, 1.30s/step] Training: 21%|██ | 14374/70000 [5:04:42<19:32:35, 1.26s/step] Training: 21%|██ | 14375/70000 [5:04:43<19:17:04, 1.25s/step] Training: 21%|██ | 14376/70000 [5:04:45<19:47:29, 1.28s/step] Training: 21%|██ | 14377/70000 [5:04:46<19:18:55, 1.25s/step] Training: 21%|██ | 14378/70000 [5:04:47<19:02:43, 1.23s/step] Training: 21%|██ | 14379/70000 [5:04:48<19:28:51, 1.26s/step] Training: 21%|██ | 14380/70000 [5:04:50<19:43:01, 1.28s/step] Training: 21%|██ | 14381/70000 [5:04:51<19:58:32, 1.29s/step] Training: 21%|██ | 14382/70000 [5:04:52<19:30:06, 1.26s/step] Training: 21%|██ | 14383/70000 [5:04:53<19:20:26, 1.25s/step] Training: 21%|██ | 14384/70000 [5:04:55<19:43:36, 1.28s/step] Training: 21%|██ | 14385/70000 [5:04:56<20:01:57, 1.30s/step] Training: 21%|██ | 14386/70000 [5:04:57<19:29:14, 1.26s/step] Training: 21%|██ | 14387/70000 [5:04:59<19:50:19, 1.28s/step] Training: 21%|██ | 14388/70000 [5:05:00<20:05:23, 1.30s/step] Training: 21%|██ | 14389/70000 [5:05:01<20:26:17, 1.32s/step] Training: 21%|██ | 14390/70000 [5:05:03<19:50:37, 1.28s/step] Training: 21%|██ | 14391/70000 [5:05:04<19:25:18, 1.26s/step] Training: 21%|██ | 14392/70000 [5:05:05<20:18:15, 1.31s/step] Training: 21%|██ | 14393/70000 [5:05:07<20:31:05, 1.33s/step] Training: 21%|██ | 14394/70000 [5:05:08<19:49:18, 1.28s/step] Training: 21%|██ | 14395/70000 [5:05:09<19:34:59, 1.27s/step] Training: 21%|██ | 14396/70000 [5:05:10<19:35:01, 1.27s/step] Training: 21%|██ | 14397/70000 [5:05:12<19:30:16, 1.26s/step] Training: 21%|██ | 14398/70000 [5:05:13<19:09:20, 1.24s/step] Training: 21%|██ | 14399/70000 [5:05:14<18:56:14, 1.23s/step] Training: 21%|██ | 14400/70000 [5:05:15<19:21:06, 1.25s/step]INFO 2026-03-13 01:15:07 ot_train.py:435 step:14K smpl:922K ep:3K epch:12.21 loss:0.107 grdn:10.809 lr:2.3e-05 updt_s:1.248 data_s:0.019 Training: 21%|██ | 14401/70000 [5:05:16<19:03:01, 1.23s/step] Training: 21%|██ | 14402/70000 [5:05:18<18:51:27, 1.22s/step] Training: 21%|██ | 14403/70000 [5:05:19<18:50:07, 1.22s/step] Training: 21%|██ | 14404/70000 [5:05:20<19:25:57, 1.26s/step] Training: 21%|██ | 14405/70000 [5:05:21<19:46:51, 1.28s/step] Training: 21%|██ | 14406/70000 [5:05:23<19:22:12, 1.25s/step] Training: 21%|██ | 14407/70000 [5:05:24<19:16:33, 1.25s/step] Training: 21%|██ | 14408/70000 [5:05:25<19:06:54, 1.24s/step] Training: 21%|██ | 14409/70000 [5:05:26<19:10:32, 1.24s/step] Training: 21%|██ | 14410/70000 [5:05:28<18:55:58, 1.23s/step] Training: 21%|██ | 14411/70000 [5:05:29<19:28:47, 1.26s/step] Training: 21%|██ | 14412/70000 [5:05:30<19:52:38, 1.29s/step] Training: 21%|██ | 14413/70000 [5:05:32<20:05:01, 1.30s/step] Training: 21%|██ | 14414/70000 [5:05:33<19:33:00, 1.27s/step] Training: 21%|██ | 14415/70000 [5:05:34<19:19:22, 1.25s/step] Training: 21%|██ | 14416/70000 [5:05:35<19:39:28, 1.27s/step] Training: 21%|██ | 14417/70000 [5:05:36<19:16:08, 1.25s/step] Training: 21%|██ | 14418/70000 [5:05:38<19:41:23, 1.28s/step] Training: 21%|██ | 14419/70000 [5:05:39<19:55:16, 1.29s/step] Training: 21%|██ | 14420/70000 [5:05:41<20:11:54, 1.31s/step] Training: 21%|██ | 14421/70000 [5:05:42<19:49:23, 1.28s/step] Training: 21%|██ | 14422/70000 [5:05:43<19:24:03, 1.26s/step] Training: 21%|██ | 14423/70000 [5:05:44<19:47:51, 1.28s/step] Training: 21%|██ | 14424/70000 [5:05:46<20:00:15, 1.30s/step] Training: 21%|██ | 14425/70000 [5:05:47<20:19:23, 1.32s/step] Training: 21%|██ | 14426/70000 [5:05:48<19:40:39, 1.27s/step] Training: 21%|██ | 14427/70000 [5:05:49<19:28:06, 1.26s/step] Training: 21%|██ | 14428/70000 [5:05:51<19:30:09, 1.26s/step] Training: 21%|██ | 14429/70000 [5:05:52<19:25:00, 1.26s/step] Training: 21%|██ | 14430/70000 [5:05:53<19:08:12, 1.24s/step] Training: 21%|██ | 14431/70000 [5:05:54<19:32:08, 1.27s/step] Training: 21%|██ | 14432/70000 [5:05:56<19:47:46, 1.28s/step] Training: 21%|██ | 14433/70000 [5:05:57<20:07:56, 1.30s/step] Training: 21%|██ | 14434/70000 [5:05:58<19:33:31, 1.27s/step] Training: 21%|██ | 14435/70000 [5:05:59<19:17:58, 1.25s/step] Training: 21%|██ | 14436/70000 [5:06:01<19:43:02, 1.28s/step] Training: 21%|██ | 14437/70000 [5:06:02<19:56:08, 1.29s/step] Training: 21%|██ | 14438/70000 [5:06:03<19:27:41, 1.26s/step] Training: 21%|██ | 14439/70000 [5:06:05<19:21:48, 1.25s/step] Training: 21%|██ | 14440/70000 [5:06:06<19:07:46, 1.24s/step] Training: 21%|██ | 14441/70000 [5:06:07<18:54:25, 1.23s/step] Training: 21%|██ | 14442/70000 [5:06:08<19:28:21, 1.26s/step] Training: 21%|██ | 14443/70000 [5:06:10<19:46:25, 1.28s/step] Training: 21%|██ | 14444/70000 [5:06:11<20:00:38, 1.30s/step] Training: 21%|██ | 14445/70000 [5:06:12<20:11:50, 1.31s/step] Training: 21%|██ | 14446/70000 [5:06:14<19:38:33, 1.27s/step] Training: 21%|██ | 14447/70000 [5:06:15<19:20:33, 1.25s/step] Training: 21%|██ | 14448/70000 [5:06:16<19:40:57, 1.28s/step] Training: 21%|██ | 14449/70000 [5:06:17<19:17:48, 1.25s/step] Training: 21%|██ | 14450/70000 [5:06:19<19:48:19, 1.28s/step] Training: 21%|██ | 14451/70000 [5:06:20<20:00:53, 1.30s/step] Training: 21%|██ | 14452/70000 [5:06:21<20:10:41, 1.31s/step] Training: 21%|██ | 14453/70000 [5:06:23<20:31:58, 1.33s/step] Training: 21%|██ | 14454/70000 [5:06:24<19:52:25, 1.29s/step] Training: 21%|██ | 14455/70000 [5:06:25<20:07:24, 1.30s/step] Training: 21%|██ | 14456/70000 [5:06:26<20:14:25, 1.31s/step] Training: 21%|██ | 14457/70000 [5:06:28<19:42:04, 1.28s/step] Training: 21%|██ | 14458/70000 [5:06:29<19:24:37, 1.26s/step] Training: 21%|██ | 14459/70000 [5:06:30<19:17:16, 1.25s/step] Training: 21%|██ | 14460/70000 [5:06:31<19:23:50, 1.26s/step] Training: 21%|██ | 14461/70000 [5:06:33<19:26:55, 1.26s/step] Training: 21%|██ | 14462/70000 [5:06:34<19:06:11, 1.24s/step] Training: 21%|██ | 14463/70000 [5:06:35<19:30:41, 1.26s/step] Training: 21%|██ | 14464/70000 [5:06:36<19:22:06, 1.26s/step] Training: 21%|██ | 14465/70000 [5:06:38<19:03:11, 1.24s/step] Training: 21%|██ | 14466/70000 [5:06:39<19:12:09, 1.24s/step] Training: 21%|██ | 14467/70000 [5:06:40<19:00:52, 1.23s/step] Training: 21%|██ | 14468/70000 [5:06:41<19:29:47, 1.26s/step] Training: 21%|██ | 14469/70000 [5:06:43<19:51:06, 1.29s/step] Training: 21%|██ | 14470/70000 [5:06:44<19:24:12, 1.26s/step] Training: 21%|██ | 14471/70000 [5:06:45<19:18:49, 1.25s/step] Training: 21%|██ | 14472/70000 [5:06:46<19:04:48, 1.24s/step] Training: 21%|██ | 14473/70000 [5:06:48<18:51:50, 1.22s/step] Training: 21%|██ | 14474/70000 [5:06:49<18:42:21, 1.21s/step] Training: 21%|██ | 14475/70000 [5:06:50<19:37:45, 1.27s/step] Training: 21%|██ | 14476/70000 [5:06:52<19:56:07, 1.29s/step] Training: 21%|██ | 14477/70000 [5:06:53<20:12:04, 1.31s/step] Training: 21%|██ | 14478/70000 [5:06:54<19:41:12, 1.28s/step] Training: 21%|██ | 14479/70000 [5:06:55<19:20:36, 1.25s/step] Training: 21%|██ | 14480/70000 [5:06:57<19:42:00, 1.28s/step] Training: 21%|██ | 14481/70000 [5:06:58<19:17:12, 1.25s/step] Training: 21%|██ | 14482/70000 [5:06:59<19:04:03, 1.24s/step] Training: 21%|██ | 14483/70000 [5:07:00<19:47:04, 1.28s/step] Training: 21%|██ | 14484/70000 [5:07:02<20:02:19, 1.30s/step] Training: 21%|██ | 14485/70000 [5:07:03<20:27:45, 1.33s/step] Training: 21%|██ | 14486/70000 [5:07:04<19:49:56, 1.29s/step] Training: 21%|██ | 14487/70000 [5:07:05<19:23:26, 1.26s/step] Training: 21%|██ | 14488/70000 [5:07:07<20:18:16, 1.32s/step] Training: 21%|██ | 14489/70000 [5:07:08<19:44:20, 1.28s/step] Training: 21%|██ | 14490/70000 [5:07:09<19:19:01, 1.25s/step] Training: 21%|██ | 14491/70000 [5:07:11<19:15:37, 1.25s/step] Training: 21%|██ | 14492/70000 [5:07:12<19:41:29, 1.28s/step] Training: 21%|██ | 14493/70000 [5:07:13<19:29:43, 1.26s/step] Training: 21%|██ | 14494/70000 [5:07:14<19:09:19, 1.24s/step] Training: 21%|██ | 14495/70000 [5:07:16<19:32:18, 1.27s/step] Training: 21%|██ | 14496/70000 [5:07:17<19:20:19, 1.25s/step] Training: 21%|██ | 14497/70000 [5:07:18<19:04:12, 1.24s/step] Training: 21%|██ | 14498/70000 [5:07:19<18:50:15, 1.22s/step] Training: 21%|██ | 14499/70000 [5:07:21<19:29:41, 1.26s/step] Training: 21%|██ | 14500/70000 [5:07:22<19:45:21, 1.28s/step]INFO 2026-03-13 01:17:14 ot_train.py:435 step:14K smpl:928K ep:3K epch:12.29 loss:0.107 grdn:10.930 lr:2.3e-05 updt_s:1.247 data_s:0.019 Training: 21%|██ | 14501/70000 [5:07:23<20:00:05, 1.30s/step] Training: 21%|██ | 14502/70000 [5:07:24<19:31:04, 1.27s/step] Training: 21%|██ | 14503/70000 [5:07:26<19:18:03, 1.25s/step] Training: 21%|██ | 14504/70000 [5:07:27<19:09:56, 1.24s/step] Training: 21%|██ | 14505/70000 [5:07:28<18:56:15, 1.23s/step] Training: 21%|██ | 14506/70000 [5:07:29<18:44:44, 1.22s/step] Training: 21%|██ | 14507/70000 [5:07:31<19:14:36, 1.25s/step] Training: 21%|██ | 14508/70000 [5:07:32<20:16:04, 1.31s/step] Training: 21%|██ | 14509/70000 [5:07:33<20:20:24, 1.32s/step] Training: 21%|██ | 14510/70000 [5:07:35<19:43:21, 1.28s/step] Training: 21%|██ | 14511/70000 [5:07:36<19:28:07, 1.26s/step] Training: 21%|██ | 14512/70000 [5:07:37<19:46:29, 1.28s/step] Training: 21%|██ | 14513/70000 [5:07:38<19:20:04, 1.25s/step] Training: 21%|██ | 14514/70000 [5:07:40<19:02:33, 1.24s/step] Training: 21%|██ | 14515/70000 [5:07:41<19:25:57, 1.26s/step] Training: 21%|██ | 14516/70000 [5:07:42<20:18:42, 1.32s/step] Training: 21%|██ | 14517/70000 [5:07:44<19:52:21, 1.29s/step] Training: 21%|██ | 14518/70000 [5:07:45<19:58:54, 1.30s/step] Training: 21%|██ | 14519/70000 [5:07:46<19:28:25, 1.26s/step] Training: 21%|██ | 14520/70000 [5:07:47<20:12:53, 1.31s/step] Training: 21%|██ | 14521/70000 [5:07:49<19:38:06, 1.27s/step] Training: 21%|██ | 14522/70000 [5:07:50<19:14:26, 1.25s/step] Training: 21%|██ | 14523/70000 [5:07:51<19:08:45, 1.24s/step] Training: 21%|██ | 14524/70000 [5:07:52<19:12:07, 1.25s/step] Training: 21%|██ | 14525/70000 [5:07:54<19:02:34, 1.24s/step] Training: 21%|██ | 14526/70000 [5:07:55<19:19:06, 1.25s/step] Training: 21%|██ | 14527/70000 [5:07:56<19:42:23, 1.28s/step] Training: 21%|██ | 14528/70000 [5:07:57<19:29:32, 1.27s/step] Training: 21%|██ | 14529/70000 [5:07:59<19:08:24, 1.24s/step] Training: 21%|██ | 14530/70000 [5:08:00<18:55:38, 1.23s/step] Training: 21%|██ | 14531/70000 [5:08:01<18:52:14, 1.22s/step] Training: 21%|██ | 14532/70000 [5:08:02<19:51:25, 1.29s/step] Training: 21%|██ | 14533/70000 [5:08:04<20:02:38, 1.30s/step] Training: 21%|██ | 14534/70000 [5:08:05<19:30:49, 1.27s/step] Training: 21%|██ | 14535/70000 [5:08:06<19:20:22, 1.26s/step] Training: 21%|██ | 14536/70000 [5:08:07<19:07:48, 1.24s/step] Training: 21%|██ | 14537/70000 [5:08:09<18:52:49, 1.23s/step] Training: 21%|██ | 14538/70000 [5:08:10<18:42:59, 1.21s/step] Training: 21%|██ | 14539/70000 [5:08:11<19:14:13, 1.25s/step] Training: 21%|██ | 14540/70000 [5:08:12<19:39:35, 1.28s/step] Training: 21%|██ | 14541/70000 [5:08:14<19:54:06, 1.29s/step] Training: 21%|██ | 14542/70000 [5:08:15<19:25:31, 1.26s/step] Training: 21%|██ | 14543/70000 [5:08:16<19:15:14, 1.25s/step] Training: 21%|██ | 14544/70000 [5:08:18<19:38:19, 1.27s/step] Training: 21%|██ | 14545/70000 [5:08:19<19:13:46, 1.25s/step] Training: 21%|██ | 14546/70000 [5:08:20<18:57:29, 1.23s/step] Training: 21%|██ | 14547/70000 [5:08:21<19:25:25, 1.26s/step] Training: 21%|██ | 14548/70000 [5:08:23<19:45:24, 1.28s/step] Training: 21%|██ | 14549/70000 [5:08:24<20:03:57, 1.30s/step] Training: 21%|██ | 14550/70000 [5:08:25<19:32:30, 1.27s/step] Training: 21%|██ | 14551/70000 [5:08:26<19:09:46, 1.24s/step] Training: 21%|██ | 14552/70000 [5:08:28<20:02:10, 1.30s/step] Training: 21%|██ | 14553/70000 [5:08:29<19:30:36, 1.27s/step] Training: 21%|██ | 14554/70000 [5:08:30<19:08:19, 1.24s/step] Training: 21%|██ | 14555/70000 [5:08:31<19:03:48, 1.24s/step] Training: 21%|██ | 14556/70000 [5:08:33<19:06:24, 1.24s/step] Training: 21%|██ | 14557/70000 [5:08:34<19:21:53, 1.26s/step] Training: 21%|██ | 14558/70000 [5:08:35<19:02:24, 1.24s/step] Training: 21%|██ | 14559/70000 [5:08:36<19:55:01, 1.29s/step] Training: 21%|██ | 14560/70000 [5:08:38<19:34:18, 1.27s/step] Training: 21%|██ | 14561/70000 [5:08:39<19:12:06, 1.25s/step] Training: 21%|██ | 14562/70000 [5:08:40<18:56:36, 1.23s/step] Training: 21%|██ | 14563/70000 [5:08:41<18:53:03, 1.23s/step] Training: 21%|██ | 14564/70000 [5:08:43<19:22:01, 1.26s/step] Training: 21%|██ | 14565/70000 [5:08:44<19:51:36, 1.29s/step] Training: 21%|██ | 14566/70000 [5:08:45<19:28:46, 1.27s/step] Training: 21%|██ | 14567/70000 [5:08:46<19:13:50, 1.25s/step] Training: 21%|██ | 14568/70000 [5:08:48<19:02:34, 1.24s/step] Training: 21%|██ | 14569/70000 [5:08:49<18:50:10, 1.22s/step] Training: 21%|██ | 14570/70000 [5:08:50<18:40:13, 1.21s/step] Training: 21%|██ | 14571/70000 [5:08:51<19:14:44, 1.25s/step] Training: 21%|██ | 14572/70000 [5:08:53<19:38:49, 1.28s/step] Training: 21%|██ | 14573/70000 [5:08:54<20:07:33, 1.31s/step] Training: 21%|██ | 14574/70000 [5:08:55<19:35:29, 1.27s/step] Training: 21%|██ | 14575/70000 [5:08:57<19:51:18, 1.29s/step] Training: 21%|██ | 14576/70000 [5:08:58<20:03:51, 1.30s/step] Training: 21%|██ | 14577/70000 [5:08:59<19:33:51, 1.27s/step] Training: 21%|██ | 14578/70000 [5:09:00<19:11:54, 1.25s/step] Training: 21%|██ | 14579/70000 [5:09:02<19:32:48, 1.27s/step] Training: 21%|██ | 14580/70000 [5:09:03<19:48:37, 1.29s/step] Training: 21%|██ | 14581/70000 [5:09:04<19:33:50, 1.27s/step] Training: 21%|██ | 14582/70000 [5:09:06<20:20:48, 1.32s/step] Training: 21%|██ | 14583/70000 [5:09:07<20:05:11, 1.30s/step] Training: 21%|██ | 14584/70000 [5:09:08<20:41:34, 1.34s/step] Training: 21%|██ | 14585/70000 [5:09:10<19:59:19, 1.30s/step] Training: 21%|██ | 14586/70000 [5:09:11<19:29:32, 1.27s/step] Training: 21%|██ | 14587/70000 [5:09:12<19:17:59, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=6925 Training: 21%|██ | 14588/70000 [5:09:13<19:19:02, 1.26s/step] Training: 21%|██ | 14589/70000 [5:09:14<19:07:00, 1.24s/step] Training: 21%|██ | 14590/70000 [5:09:16<19:33:58, 1.27s/step] Training: 21%|██ | 14591/70000 [5:09:17<19:52:01, 1.29s/step] Training: 21%|██ | 14592/70000 [5:09:18<19:33:48, 1.27s/step] Training: 21%|██ | 14593/70000 [5:09:19<19:12:40, 1.25s/step] Training: 21%|██ | 14594/70000 [5:09:21<18:56:32, 1.23s/step] Training: 21%|██ | 14595/70000 [5:09:22<18:49:19, 1.22s/step] Training: 21%|██ | 14596/70000 [5:09:23<19:18:05, 1.25s/step] Training: 21%|██ | 14597/70000 [5:09:25<19:39:33, 1.28s/step] Training: 21%|██ | 14598/70000 [5:09:26<19:54:20, 1.29s/step] Training: 21%|██ | 14599/70000 [5:09:27<19:25:42, 1.26s/step] Training: 21%|██ | 14600/70000 [5:09:28<19:09:19, 1.24s/step]INFO 2026-03-13 01:19:20 ot_train.py:435 step:15K smpl:934K ep:3K epch:12.38 loss:0.109 grdn:11.140 lr:2.3e-05 updt_s:1.242 data_s:0.019 Training: 21%|██ | 14601/70000 [5:09:29<18:54:15, 1.23s/step] Training: 21%|██ | 14602/70000 [5:09:31<18:44:55, 1.22s/step] Training: 21%|██ | 14603/70000 [5:09:32<19:13:34, 1.25s/step] Training: 21%|██ | 14604/70000 [5:09:33<19:35:51, 1.27s/step] Training: 21%|██ | 14605/70000 [5:09:35<19:51:10, 1.29s/step] Training: 21%|██ | 14606/70000 [5:09:36<20:08:50, 1.31s/step] Training: 21%|██ | 14607/70000 [5:09:37<19:54:16, 1.29s/step] Training: 21%|██ | 14608/70000 [5:09:39<20:02:33, 1.30s/step] Training: 21%|██ | 14609/70000 [5:09:40<19:31:14, 1.27s/step] Training: 21%|██ | 14610/70000 [5:09:41<19:09:25, 1.25s/step] Training: 21%|██ | 14611/70000 [5:09:42<19:30:20, 1.27s/step] Training: 21%|██ | 14612/70000 [5:09:44<19:48:28, 1.29s/step] Training: 21%|██ | 14613/70000 [5:09:45<19:34:10, 1.27s/step] Training: 21%|██ | 14614/70000 [5:09:46<19:22:42, 1.26s/step] Training: 21%|██ | 14615/70000 [5:09:47<19:05:37, 1.24s/step] Training: 21%|██ | 14616/70000 [5:09:49<19:55:32, 1.30s/step] Training: 21%|██ | 14617/70000 [5:09:50<19:25:25, 1.26s/step] Training: 21%|██ | 14618/70000 [5:09:51<19:04:43, 1.24s/step] Training: 21%|██ | 14619/70000 [5:09:52<18:58:59, 1.23s/step] Training: 21%|██ | 14620/70000 [5:09:54<19:01:49, 1.24s/step] Training: 21%|██ | 14621/70000 [5:09:55<18:55:02, 1.23s/step] Training: 21%|██ | 14622/70000 [5:09:56<18:43:52, 1.22s/step] Training: 21%|██ | 14623/70000 [5:09:57<19:50:37, 1.29s/step] Training: 21%|██ | 14624/70000 [5:09:59<19:36:27, 1.27s/step] Training: 21%|██ | 14625/70000 [5:10:00<19:11:03, 1.25s/step] Training: 21%|██ | 14626/70000 [5:10:01<18:54:52, 1.23s/step] Training: 21%|██ | 14627/70000 [5:10:02<18:51:41, 1.23s/step] Training: 21%|██ | 14628/70000 [5:10:04<19:19:19, 1.26s/step] Training: 21%|██ | 14629/70000 [5:10:05<19:38:31, 1.28s/step] Training: 21%|██ | 14630/70000 [5:10:06<19:13:49, 1.25s/step] Training: 21%|██ | 14631/70000 [5:10:07<20:03:24, 1.30s/step] Training: 21%|██ | 14632/70000 [5:10:09<19:45:30, 1.28s/step] Training: 21%|██ | 14633/70000 [5:10:10<19:22:22, 1.26s/step] Training: 21%|██ | 14634/70000 [5:10:11<19:02:23, 1.24s/step] Training: 21%|██ | 14635/70000 [5:10:12<19:27:42, 1.27s/step] Training: 21%|██ | 14636/70000 [5:10:14<19:45:39, 1.28s/step] Training: 21%|██ | 14637/70000 [5:10:15<20:28:10, 1.33s/step] Training: 21%|██ | 14638/70000 [5:10:16<19:49:09, 1.29s/step] Training: 21%|██ | 14639/70000 [5:10:18<19:45:35, 1.28s/step] Training: 21%|██ | 14640/70000 [5:10:19<20:00:01, 1.30s/step] Training: 21%|██ | 14641/70000 [5:10:20<19:28:49, 1.27s/step] Training: 21%|██ | 14642/70000 [5:10:21<19:06:54, 1.24s/step] Training: 21%|██ | 14643/70000 [5:10:23<19:28:35, 1.27s/step] Training: 21%|██ | 14644/70000 [5:10:24<19:46:54, 1.29s/step] Training: 21%|██ | 14645/70000 [5:10:25<19:35:55, 1.27s/step] Training: 21%|██ | 14646/70000 [5:10:26<19:12:17, 1.25s/step] Training: 21%|██ | 14647/70000 [5:10:28<19:05:43, 1.24s/step] Training: 21%|██ | 14648/70000 [5:10:29<19:54:42, 1.30s/step] Training: 21%|██ | 14649/70000 [5:10:30<19:25:11, 1.26s/step] Training: 21%|██ | 14650/70000 [5:10:32<19:04:26, 1.24s/step] Training: 21%|██ | 14651/70000 [5:10:33<19:01:08, 1.24s/step] Training: 21%|██ | 14652/70000 [5:10:34<18:54:07, 1.23s/step] Training: 21%|██ | 14653/70000 [5:10:35<18:52:10, 1.23s/step] Training: 21%|██ | 14654/70000 [5:10:36<18:41:45, 1.22s/step] Training: 21%|██ | 14655/70000 [5:10:38<19:26:50, 1.26s/step] Training: 21%|██ | 14656/70000 [5:10:39<19:16:44, 1.25s/step] Training: 21%|██ | 14657/70000 [5:10:40<18:58:51, 1.23s/step] Training: 21%|██ | 14658/70000 [5:10:41<18:47:29, 1.22s/step] Training: 21%|██ | 14659/70000 [5:10:43<18:41:29, 1.22s/step] Training: 21%|██ | 14660/70000 [5:10:44<19:11:35, 1.25s/step] Training: 21%|██ | 14661/70000 [5:10:45<19:38:38, 1.28s/step] Training: 21%|██ | 14662/70000 [5:10:46<19:13:50, 1.25s/step] Training: 21%|██ | 14663/70000 [5:10:48<19:17:16, 1.25s/step] Training: 21%|██ | 14664/70000 [5:10:49<19:02:33, 1.24s/step] Training: 21%|██ | 14665/70000 [5:10:50<18:48:32, 1.22s/step] Training: 21%|██ | 14666/70000 [5:10:51<18:38:44, 1.21s/step] Training: 21%|██ | 14667/70000 [5:10:53<19:09:50, 1.25s/step] Training: 21%|██ | 14668/70000 [5:10:54<19:33:38, 1.27s/step] Training: 21%|██ | 14669/70000 [5:10:55<19:50:49, 1.29s/step] Training: 21%|██ | 14670/70000 [5:10:56<19:22:31, 1.26s/step] Training: 21%|██ | 14671/70000 [5:10:58<19:29:31, 1.27s/step] Training: 21%|██ | 14672/70000 [5:10:59<20:11:28, 1.31s/step] Training: 21%|██ | 14673/70000 [5:11:00<19:36:48, 1.28s/step] Training: 21%|██ | 14674/70000 [5:11:02<19:12:13, 1.25s/step] Training: 21%|██ | 14675/70000 [5:11:03<19:33:24, 1.27s/step] Training: 21%|██ | 14676/70000 [5:11:04<19:50:08, 1.29s/step] Training: 21%|██ | 14677/70000 [5:11:06<20:10:13, 1.31s/step] Training: 21%|██ | 14678/70000 [5:11:07<19:37:16, 1.28s/step] Training: 21%|██ | 14679/70000 [5:11:08<19:17:38, 1.26s/step] Training: 21%|██ | 14680/70000 [5:11:09<20:04:35, 1.31s/step] Training: 21%|██ | 14681/70000 [5:11:11<19:32:29, 1.27s/step] Training: 21%|██ | 14682/70000 [5:11:12<19:09:35, 1.25s/step] Training: 21%|██ | 14683/70000 [5:11:13<19:04:25, 1.24s/step] Training: 21%|██ | 14684/70000 [5:11:14<18:55:50, 1.23s/step] Training: 21%|██ | 14685/70000 [5:11:15<18:50:18, 1.23s/step] Training: 21%|██ | 14686/70000 [5:11:17<18:40:12, 1.22s/step] Training: 21%|██ | 14687/70000 [5:11:18<19:12:08, 1.25s/step] Training: 21%|██ | 14688/70000 [5:11:19<19:49:14, 1.29s/step] Training: 21%|██ | 14689/70000 [5:11:20<19:18:04, 1.26s/step] Training: 21%|██ | 14690/70000 [5:11:22<18:59:25, 1.24s/step] Training: 21%|██ | 14691/70000 [5:11:23<18:51:55, 1.23s/step] Training: 21%|██ | 14692/70000 [5:11:24<19:18:45, 1.26s/step] Training: 21%|██ | 14693/70000 [5:11:26<19:41:05, 1.28s/step] Training: 21%|██ | 14694/70000 [5:11:27<19:16:24, 1.25s/step] Training: 21%|██ | 14695/70000 [5:11:28<19:48:00, 1.29s/step] Training: 21%|██ | 14696/70000 [5:11:29<20:05:45, 1.31s/step] Training: 21%|██ | 14697/70000 [5:11:31<19:30:48, 1.27s/step] Training: 21%|██ | 14698/70000 [5:11:32<19:08:10, 1.25s/step] Training: 21%|██ | 14699/70000 [5:11:33<19:31:30, 1.27s/step] Training: 21%|██ | 14700/70000 [5:11:34<19:47:09, 1.29s/step]INFO 2026-03-13 01:21:27 ot_train.py:435 step:15K smpl:941K ep:3K epch:12.46 loss:0.111 grdn:10.583 lr:2.2e-05 updt_s:1.241 data_s:0.019 Training: 21%|██ | 14701/70000 [5:11:36<19:58:19, 1.30s/step] Training: 21%|██ | 14702/70000 [5:11:37<19:27:42, 1.27s/step] Training: 21%|██ | 14703/70000 [5:11:38<19:14:13, 1.25s/step] Training: 21%|██ | 14704/70000 [5:11:40<19:34:53, 1.27s/step] Training: 21%|██ | 14705/70000 [5:11:41<19:53:10, 1.29s/step] Training: 21%|██ | 14706/70000 [5:11:42<19:20:50, 1.26s/step] Training: 21%|██ | 14707/70000 [5:11:43<19:37:12, 1.28s/step] Training: 21%|██ | 14708/70000 [5:11:45<19:50:35, 1.29s/step] Training: 21%|██ | 14709/70000 [5:11:46<20:13:10, 1.32s/step] Training: 21%|██ | 14710/70000 [5:11:47<19:37:49, 1.28s/step] Training: 21%|██ | 14711/70000 [5:11:49<19:51:16, 1.29s/step] Training: 21%|██ | 14712/70000 [5:11:50<20:01:11, 1.30s/step] Training: 21%|██ | 14713/70000 [5:11:51<20:12:30, 1.32s/step] Training: 21%|██ | 14714/70000 [5:11:52<19:36:13, 1.28s/step] Training: 21%|██ | 14715/70000 [5:11:54<19:20:45, 1.26s/step] Training: 21%|██ | 14716/70000 [5:11:55<19:07:27, 1.25s/step] Training: 21%|██ | 14717/70000 [5:11:56<19:06:53, 1.24s/step] Training: 21%|██ | 14718/70000 [5:11:57<18:51:47, 1.23s/step] Training: 21%|██ | 14719/70000 [5:11:59<19:19:14, 1.26s/step] Training: 21%|██ | 14720/70000 [5:12:00<19:13:24, 1.25s/step] Training: 21%|██ | 14721/70000 [5:12:01<19:31:55, 1.27s/step] Training: 21%|██ | 14722/70000 [5:12:02<19:06:47, 1.24s/step] Training: 21%|██ | 14723/70000 [5:12:04<18:59:50, 1.24s/step] Training: 21%|██ | 14724/70000 [5:12:05<19:27:52, 1.27s/step] Training: 21%|██ | 14725/70000 [5:12:06<19:44:13, 1.29s/step] Training: 21%|██ | 14726/70000 [5:12:07<19:18:29, 1.26s/step] Training: 21%|██ | 14727/70000 [5:12:09<19:50:37, 1.29s/step] Training: 21%|██ | 14728/70000 [5:12:10<19:27:44, 1.27s/step] Training: 21%|██ | 14729/70000 [5:12:11<19:53:56, 1.30s/step] Training: 21%|██ | 14730/70000 [5:12:13<19:21:43, 1.26s/step] Training: 21%|██ | 14731/70000 [5:12:14<19:41:28, 1.28s/step] Training: 21%|██ | 14732/70000 [5:12:15<19:58:29, 1.30s/step] Training: 21%|██ | 14733/70000 [5:12:17<20:05:54, 1.31s/step] Training: 21%|██ | 14734/70000 [5:12:18<19:33:44, 1.27s/step] Training: 21%|██ | 14735/70000 [5:12:19<19:22:16, 1.26s/step] Training: 21%|██ | 14736/70000 [5:12:20<19:41:27, 1.28s/step] Training: 21%|██ | 14737/70000 [5:12:22<19:28:14, 1.27s/step] Training: 21%|██ | 14738/70000 [5:12:23<19:03:06, 1.24s/step] Training: 21%|██ | 14739/70000 [5:12:24<19:27:30, 1.27s/step] Training: 21%|██ | 14740/70000 [5:12:25<19:43:22, 1.28s/step] Training: 21%|██ | 14741/70000 [5:12:27<20:06:08, 1.31s/step] Training: 21%|██ | 14742/70000 [5:12:28<19:32:11, 1.27s/step] Training: 21%|██ | 14743/70000 [5:12:29<19:46:49, 1.29s/step] Training: 21%|██ | 14744/70000 [5:12:31<19:58:49, 1.30s/step] Training: 21%|██ | 14745/70000 [5:12:32<19:27:09, 1.27s/step] Training: 21%|██ | 14746/70000 [5:12:33<19:47:20, 1.29s/step] Training: 21%|██ | 14747/70000 [5:12:34<19:28:31, 1.27s/step] Training: 21%|██ | 14748/70000 [5:12:36<19:11:26, 1.25s/step] Training: 21%|██ | 14749/70000 [5:12:37<19:01:08, 1.24s/step] Training: 21%|██ | 14750/70000 [5:12:38<18:47:40, 1.22s/step] Training: 21%|██ | 14751/70000 [5:12:39<19:23:34, 1.26s/step] Training: 21%|██ | 14752/70000 [5:12:41<19:12:49, 1.25s/step] Training: 21%|██ | 14753/70000 [5:12:42<18:55:01, 1.23s/step] Training: 21%|██ | 14754/70000 [5:12:43<19:16:31, 1.26s/step] Training: 21%|██ | 14755/70000 [5:12:44<18:59:26, 1.24s/step] Training: 21%|██ | 14756/70000 [5:12:46<19:23:37, 1.26s/step] Training: 21%|██ | 14757/70000 [5:12:47<19:43:07, 1.29s/step] Training: 21%|██ | 14758/70000 [5:12:48<19:16:33, 1.26s/step] Training: 21%|██ | 14759/70000 [5:12:49<19:44:39, 1.29s/step] Training: 21%|██ | 14760/70000 [5:12:51<19:22:43, 1.26s/step] Training: 21%|██ | 14761/70000 [5:12:52<19:02:05, 1.24s/step] Training: 21%|██ | 14762/70000 [5:12:53<19:33:48, 1.27s/step] Training: 21%|██ | 14763/70000 [5:12:55<19:45:36, 1.29s/step] Training: 21%|██ | 14764/70000 [5:12:56<19:54:42, 1.30s/step] Training: 21%|██ | 14765/70000 [5:12:57<20:07:12, 1.31s/step] Training: 21%|██ | 14766/70000 [5:12:58<19:33:37, 1.27s/step] Training: 21%|██ | 14767/70000 [5:13:00<19:18:03, 1.26s/step] Training: 21%|██ | 14768/70000 [5:13:01<19:39:52, 1.28s/step] Training: 21%|██ | 14769/70000 [5:13:02<19:13:58, 1.25s/step] Training: 21%|██ | 14770/70000 [5:13:03<18:56:34, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=43040 Training: 21%|██ | 14771/70000 [5:13:05<20:01:37, 1.31s/step] Training: 21%|██ | 14772/70000 [5:13:06<20:07:18, 1.31s/step] Training: 21%|██ | 14773/70000 [5:13:07<20:22:12, 1.33s/step] Training: 21%|██ | 14774/70000 [5:13:09<19:44:38, 1.29s/step] Training: 21%|██ | 14775/70000 [5:13:10<19:57:08, 1.30s/step] Training: 21%|██ | 14776/70000 [5:13:11<20:05:49, 1.31s/step] Training: 21%|██ | 14777/70000 [5:13:13<19:33:46, 1.28s/step] Training: 21%|██ | 14778/70000 [5:13:14<19:10:55, 1.25s/step] Training: 21%|██ | 14779/70000 [5:13:15<19:36:13, 1.28s/step] Training: 21%|██ | 14780/70000 [5:13:16<19:14:15, 1.25s/step] Training: 21%|██ | 14781/70000 [5:13:17<19:02:07, 1.24s/step] Training: 21%|██ | 14782/70000 [5:13:19<18:49:37, 1.23s/step] Training: 21%|██ | 14783/70000 [5:13:20<19:15:43, 1.26s/step] Training: 21%|██ | 14784/70000 [5:13:21<19:10:08, 1.25s/step] Training: 21%|██ | 14785/70000 [5:13:22<18:53:24, 1.23s/step] Training: 21%|██ | 14786/70000 [5:13:24<18:41:12, 1.22s/step] Training: 21%|██ | 14787/70000 [5:13:25<18:40:46, 1.22s/step] Training: 21%|██ | 14788/70000 [5:13:26<19:13:51, 1.25s/step] Training: 21%|██ | 14789/70000 [5:13:28<19:35:18, 1.28s/step] Training: 21%|██ | 14790/70000 [5:13:29<19:11:18, 1.25s/step] Training: 21%|██ | 14791/70000 [5:13:30<19:46:17, 1.29s/step] Training: 21%|██ | 14792/70000 [5:13:31<19:30:00, 1.27s/step] Training: 21%|██ | 14793/70000 [5:13:32<19:08:55, 1.25s/step] Training: 21%|██ | 14794/70000 [5:13:34<18:51:52, 1.23s/step] Training: 21%|██ | 14795/70000 [5:13:35<19:26:27, 1.27s/step] Training: 21%|██ | 14796/70000 [5:13:36<19:42:23, 1.29s/step] Training: 21%|██ | 14797/70000 [5:13:38<19:57:11, 1.30s/step] Training: 21%|██ | 14798/70000 [5:13:39<19:26:16, 1.27s/step] Training: 21%|██ | 14799/70000 [5:13:40<19:13:25, 1.25s/step] Training: 21%|██ | 14800/70000 [5:13:41<18:55:43, 1.23s/step]INFO 2026-03-13 01:23:33 ot_train.py:435 step:15K smpl:947K ep:3K epch:12.54 loss:0.111 grdn:10.861 lr:2.2e-05 updt_s:1.247 data_s:0.019 Training: 21%|██ | 14801/70000 [5:13:43<19:21:22, 1.26s/step] Training: 21%|██ | 14802/70000 [5:13:44<19:03:09, 1.24s/step] Training: 21%|██ | 14803/70000 [5:13:45<19:07:49, 1.25s/step] Training: 21%|██ | 14804/70000 [5:13:47<19:59:29, 1.30s/step] Training: 21%|██ | 14805/70000 [5:13:48<20:17:06, 1.32s/step] Training: 21%|██ | 14806/70000 [5:13:49<19:41:28, 1.28s/step] Training: 21%|██ | 14807/70000 [5:13:50<19:53:14, 1.30s/step] Training: 21%|██ | 14808/70000 [5:13:52<20:02:33, 1.31s/step] Training: 21%|██ | 14809/70000 [5:13:53<19:29:34, 1.27s/step] Training: 21%|██ | 14810/70000 [5:13:54<19:07:55, 1.25s/step] Training: 21%|██ | 14811/70000 [5:13:55<18:51:19, 1.23s/step] Training: 21%|██ | 14812/70000 [5:13:57<19:23:29, 1.26s/step] Training: 21%|██ | 14813/70000 [5:13:58<19:07:59, 1.25s/step] Training: 21%|██ | 14814/70000 [5:13:59<18:51:12, 1.23s/step] Training: 21%|██ | 14815/70000 [5:14:00<19:16:54, 1.26s/step] Training: 21%|██ | 14816/70000 [5:14:02<19:00:47, 1.24s/step] Training: 21%|██ | 14817/70000 [5:14:03<18:46:55, 1.23s/step] Training: 21%|██ | 14818/70000 [5:14:04<18:37:03, 1.21s/step] Training: 21%|██ | 14819/70000 [5:14:05<18:31:32, 1.21s/step] Training: 21%|██ | 14820/70000 [5:14:07<19:22:38, 1.26s/step] Training: 21%|██ | 14821/70000 [5:14:08<19:44:33, 1.29s/step] Training: 21%|██ | 14822/70000 [5:14:09<19:17:59, 1.26s/step] Training: 21%|██ | 14823/70000 [5:14:10<19:56:47, 1.30s/step] Training: 21%|██ | 14824/70000 [5:14:12<19:35:57, 1.28s/step] Training: 21%|██ | 14825/70000 [5:14:13<19:11:20, 1.25s/step] Training: 21%|██ | 14826/70000 [5:14:14<18:53:29, 1.23s/step] Training: 21%|██ | 14827/70000 [5:14:15<18:42:04, 1.22s/step] Training: 21%|██ | 14828/70000 [5:14:17<19:26:51, 1.27s/step] Training: 21%|██ | 14829/70000 [5:14:18<19:43:56, 1.29s/step] Training: 21%|██ | 14830/70000 [5:14:19<19:16:15, 1.26s/step] Training: 21%|██ | 14831/70000 [5:14:21<19:36:09, 1.28s/step] Training: 21%|██ | 14832/70000 [5:14:22<19:11:36, 1.25s/step] Training: 21%|██ | 14833/70000 [5:14:23<19:30:40, 1.27s/step] Training: 21%|██ | 14834/70000 [5:14:24<19:08:55, 1.25s/step] Training: 21%|██ | 14835/70000 [5:14:25<18:54:14, 1.23s/step] Training: 21%|██ | 14836/70000 [5:14:27<19:18:36, 1.26s/step] Training: 21%|██ | 14837/70000 [5:14:28<20:10:44, 1.32s/step] Training: 21%|██ | 14838/70000 [5:14:29<19:34:35, 1.28s/step] Training: 21%|██ | 14839/70000 [5:14:31<19:51:07, 1.30s/step] Training: 21%|██ | 14840/70000 [5:14:32<20:03:16, 1.31s/step] Training: 21%|██ | 14841/70000 [5:14:33<19:30:20, 1.27s/step] Training: 21%|██ | 14842/70000 [5:14:34<19:06:47, 1.25s/step] Training: 21%|██ | 14843/70000 [5:14:36<18:49:56, 1.23s/step] Training: 21%|██ | 14844/70000 [5:14:37<18:46:12, 1.23s/step] Training: 21%|██ | 14845/70000 [5:14:38<19:13:51, 1.26s/step] Training: 21%|██ | 14846/70000 [5:14:39<18:53:00, 1.23s/step] Training: 21%|██ | 14847/70000 [5:14:41<19:21:54, 1.26s/step] Training: 21%|██ | 14848/70000 [5:14:42<19:05:20, 1.25s/step] Training: 21%|██ | 14849/70000 [5:14:43<18:50:16, 1.23s/step] Training: 21%|██ | 14850/70000 [5:14:44<18:39:13, 1.22s/step] Training: 21%|██ | 14851/70000 [5:14:45<18:32:42, 1.21s/step] Training: 21%|██ | 14852/70000 [5:14:47<19:05:20, 1.25s/step] Training: 21%|██ | 14853/70000 [5:14:48<19:36:41, 1.28s/step] Training: 21%|██ | 14854/70000 [5:14:49<19:10:00, 1.25s/step] Training: 21%|██ | 14855/70000 [5:14:51<19:33:15, 1.28s/step] Training: 21%|██ | 14856/70000 [5:14:52<19:23:51, 1.27s/step] Training: 21%|██ | 14857/70000 [5:14:53<19:03:39, 1.24s/step] Training: 21%|██ | 14858/70000 [5:14:54<18:49:21, 1.23s/step] Training: 21%|██ | 14859/70000 [5:14:55<18:39:41, 1.22s/step] Training: 21%|██ | 14860/70000 [5:14:57<19:12:17, 1.25s/step] Training: 21%|██ | 14861/70000 [5:14:58<19:41:11, 1.29s/step] Training: 21%|██ | 14862/70000 [5:14:59<19:12:18, 1.25s/step] Training: 21%|██ | 14863/70000 [5:15:01<19:29:59, 1.27s/step] Training: 21%|██ | 14864/70000 [5:15:02<19:07:11, 1.25s/step] Training: 21%|██ | 14865/70000 [5:15:03<19:26:16, 1.27s/step] Training: 21%|██ | 14866/70000 [5:15:04<19:06:14, 1.25s/step] Training: 21%|██ | 14867/70000 [5:15:06<18:50:01, 1.23s/step] Training: 21%|██ | 14868/70000 [5:15:07<19:28:32, 1.27s/step] Training: 21%|██ | 14869/70000 [5:15:08<19:56:07, 1.30s/step] Training: 21%|██ | 14870/70000 [5:15:10<20:07:01, 1.31s/step] Training: 21%|██ | 14871/70000 [5:15:11<20:06:14, 1.31s/step] Training: 21%|██ | 14872/70000 [5:15:12<20:15:57, 1.32s/step] Training: 21%|██ | 14873/70000 [5:15:13<19:38:15, 1.28s/step] Training: 21%|██ | 14874/70000 [5:15:15<19:13:37, 1.26s/step] Training: 21%|██▏ | 14875/70000 [5:15:16<18:55:15, 1.24s/step] Training: 21%|██▏ | 14876/70000 [5:15:17<18:50:03, 1.23s/step] Training: 21%|██▏ | 14877/70000 [5:15:18<18:47:29, 1.23s/step] Training: 21%|██▏ | 14878/70000 [5:15:20<19:19:27, 1.26s/step] Training: 21%|██▏ | 14879/70000 [5:15:21<19:04:14, 1.25s/step] Training: 21%|██▏ | 14880/70000 [5:15:22<18:53:17, 1.23s/step] Training: 21%|██▏ | 14881/70000 [5:15:23<18:41:25, 1.22s/step] Training: 21%|██▏ | 14882/70000 [5:15:24<18:33:04, 1.21s/step] Training: 21%|██▏ | 14883/70000 [5:15:26<18:27:41, 1.21s/step] Training: 21%|██▏ | 14884/70000 [5:15:27<19:01:39, 1.24s/step] Training: 21%|██▏ | 14885/70000 [5:15:28<19:28:06, 1.27s/step] Training: 21%|██▏ | 14886/70000 [5:15:30<19:13:31, 1.26s/step] Training: 21%|██▏ | 14887/70000 [5:15:31<19:46:25, 1.29s/step] Training: 21%|██▏ | 14888/70000 [5:15:32<19:28:26, 1.27s/step] Training: 21%|██▏ | 14889/70000 [5:15:33<19:05:59, 1.25s/step] Training: 21%|██▏ | 14890/70000 [5:15:35<18:49:26, 1.23s/step] Training: 21%|██▏ | 14891/70000 [5:15:36<18:38:06, 1.22s/step] Training: 21%|██▏ | 14892/70000 [5:15:37<19:08:35, 1.25s/step] Training: 21%|██▏ | 14893/70000 [5:15:38<19:30:24, 1.27s/step] Training: 21%|██▏ | 14894/70000 [5:15:40<19:30:17, 1.27s/step] Training: 21%|██▏ | 14895/70000 [5:15:41<19:42:21, 1.29s/step] Training: 21%|██▏ | 14896/70000 [5:15:42<19:14:57, 1.26s/step] Training: 21%|██▏ | 14897/70000 [5:15:43<19:27:53, 1.27s/step] Training: 21%|██▏ | 14898/70000 [5:15:45<19:06:25, 1.25s/step] Training: 21%|██▏ | 14899/70000 [5:15:46<18:49:44, 1.23s/step] Training: 21%|██▏ | 14900/70000 [5:15:47<19:26:06, 1.27s/step]INFO 2026-03-13 01:25:39 ot_train.py:435 step:15K smpl:954K ep:3K epch:12.63 loss:0.109 grdn:11.320 lr:2.2e-05 updt_s:1.238 data_s:0.019 Training: 21%|██▏ | 14901/70000 [5:15:49<19:52:55, 1.30s/step] Training: 21%|██▏ | 14902/70000 [5:15:50<19:22:12, 1.27s/step] Training: 21%|██▏ | 14903/70000 [5:15:51<20:09:16, 1.32s/step] Training: 21%|██▏ | 14904/70000 [5:15:53<20:14:39, 1.32s/step] Training: 21%|██▏ | 14905/70000 [5:15:54<19:37:08, 1.28s/step] Training: 21%|██▏ | 14906/70000 [5:15:55<19:11:06, 1.25s/step] Training: 21%|██▏ | 14907/70000 [5:15:56<18:53:34, 1.23s/step] Training: 21%|██▏ | 14908/70000 [5:15:57<18:46:10, 1.23s/step] Training: 21%|██▏ | 14909/70000 [5:15:59<18:44:00, 1.22s/step] Training: 21%|██▏ | 14910/70000 [5:16:00<18:34:33, 1.21s/step] Training: 21%|██▏ | 14911/70000 [5:16:01<18:49:32, 1.23s/step] Training: 21%|██▏ | 14912/70000 [5:16:02<18:56:15, 1.24s/step] Training: 21%|██▏ | 14913/70000 [5:16:03<18:44:07, 1.22s/step] Training: 21%|██▏ | 14914/70000 [5:16:05<18:35:19, 1.21s/step] Training: 21%|██▏ | 14915/70000 [5:16:06<18:25:48, 1.20s/step] Training: 21%|██▏ | 14916/70000 [5:16:07<19:04:02, 1.25s/step] Training: 21%|██▏ | 14917/70000 [5:16:08<19:27:54, 1.27s/step] Training: 21%|██▏ | 14918/70000 [5:16:10<19:07:39, 1.25s/step] Training: 21%|██▏ | 14919/70000 [5:16:11<19:25:50, 1.27s/step] Training: 21%|██▏ | 14920/70000 [5:16:12<19:50:12, 1.30s/step] Training: 21%|██▏ | 14921/70000 [5:16:14<19:17:21, 1.26s/step] Training: 21%|██▏ | 14922/70000 [5:16:15<18:59:29, 1.24s/step] Training: 21%|██▏ | 14923/70000 [5:16:16<18:42:47, 1.22s/step] Training: 21%|██▏ | 14924/70000 [5:16:17<19:12:44, 1.26s/step] Training: 21%|██▏ | 14925/70000 [5:16:19<19:38:50, 1.28s/step] Training: 21%|██▏ | 14926/70000 [5:16:20<19:12:44, 1.26s/step] Training: 21%|██▏ | 14927/70000 [5:16:21<19:43:49, 1.29s/step] Training: 21%|██▏ | 14928/70000 [5:16:22<19:54:14, 1.30s/step] Training: 21%|██▏ | 14929/70000 [5:16:24<19:23:44, 1.27s/step] Training: 21%|██▏ | 14930/70000 [5:16:25<19:02:05, 1.24s/step] Training: 21%|██▏ | 14931/70000 [5:16:26<18:44:52, 1.23s/step] Training: 21%|██▏ | 14932/70000 [5:16:27<19:21:57, 1.27s/step] Training: 21%|██▏ | 14933/70000 [5:16:29<19:50:46, 1.30s/step] Training: 21%|██▏ | 14934/70000 [5:16:30<19:20:23, 1.26s/step] Training: 21%|██▏ | 14935/70000 [5:16:31<19:36:43, 1.28s/step] Training: 21%|██▏ | 14936/70000 [5:16:33<20:23:19, 1.33s/step] Training: 21%|██▏ | 14937/70000 [5:16:34<19:44:01, 1.29s/step] Training: 21%|██▏ | 14938/70000 [5:16:35<19:15:48, 1.26s/step] Training: 21%|██▏ | 14939/70000 [5:16:36<18:56:31, 1.24s/step] Training: 21%|██▏ | 14940/70000 [5:16:37<18:47:03, 1.23s/step] Training: 21%|██▏ | 14941/70000 [5:16:39<18:43:35, 1.22s/step] Training: 21%|██▏ | 14942/70000 [5:16:40<18:34:15, 1.21s/step] Training: 21%|██▏ | 14943/70000 [5:16:41<18:30:42, 1.21s/step] Training: 21%|██▏ | 14944/70000 [5:16:43<19:28:59, 1.27s/step] Training: 21%|██▏ | 14945/70000 [5:16:44<19:05:03, 1.25s/step] Training: 21%|██▏ | 14946/70000 [5:16:45<18:49:26, 1.23s/step] Training: 21%|██▏ | 14947/70000 [5:16:46<18:37:08, 1.22s/step] Training: 21%|██▏ | 14948/70000 [5:16:47<19:09:38, 1.25s/step] Training: 21%|██▏ | 14949/70000 [5:16:49<19:30:40, 1.28s/step] Training: 21%|██▏ | 14950/70000 [5:16:50<19:06:39, 1.25s/step] Training: 21%|██▏ | 14951/70000 [5:16:51<19:31:29, 1.28s/step] Training: 21%|██▏ | 14952/70000 [5:16:52<19:18:06, 1.26s/step] Training: 21%|██▏ | 14953/70000 [5:16:54<18:58:34, 1.24s/step] Training: 21%|██▏ | 14954/70000 [5:16:55<18:46:22, 1.23s/step] Training: 21%|██▏ | 14955/70000 [5:16:56<18:34:03, 1.21s/step] Training: 21%|██▏ | 14956/70000 [5:16:57<19:07:34, 1.25s/step] Training: 21%|██▏ | 14957/70000 [5:16:59<19:30:21, 1.28s/step] Training: 21%|██▏ | 14958/70000 [5:17:00<19:06:45, 1.25s/step] Training: 21%|██▏ | 14959/70000 [5:17:01<19:29:05, 1.27s/step] Training: 21%|██▏ | 14960/70000 [5:17:03<19:56:37, 1.30s/step] Training: 21%|██▏ | 14961/70000 [5:17:04<19:25:47, 1.27s/step] Training: 21%|██▏ | 14962/70000 [5:17:05<19:04:27, 1.25s/step] Training: 21%|██▏ | 14963/70000 [5:17:06<18:46:33, 1.23s/step] Training: 21%|██▏ | 14964/70000 [5:17:08<19:21:55, 1.27s/step] Training: 21%|██▏ | 14965/70000 [5:17:09<19:50:37, 1.30s/step] Training: 21%|██▏ | 14966/70000 [5:17:10<19:21:04, 1.27s/step] Training: 21%|██▏ | 14967/70000 [5:17:11<19:37:35, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=6925 Training: 21%|██▏ | 14968/70000 [5:17:13<19:52:54, 1.30s/step] Training: 21%|██▏ | 14969/70000 [5:17:14<19:21:36, 1.27s/step] Training: 21%|██▏ | 14970/70000 [5:17:15<18:59:51, 1.24s/step] Training: 21%|██▏ | 14971/70000 [5:17:16<18:46:17, 1.23s/step] Training: 21%|██▏ | 14972/70000 [5:17:18<18:42:52, 1.22s/step] Training: 21%|██▏ | 14973/70000 [5:17:19<18:40:26, 1.22s/step] Training: 21%|██▏ | 14974/70000 [5:17:20<18:31:46, 1.21s/step] Training: 21%|██▏ | 14975/70000 [5:17:21<18:31:34, 1.21s/step] Training: 21%|██▏ | 14976/70000 [5:17:22<18:35:12, 1.22s/step] Training: 21%|██▏ | 14977/70000 [5:17:24<19:11:33, 1.26s/step] Training: 21%|██▏ | 14978/70000 [5:17:25<18:50:40, 1.23s/step] Training: 21%|██▏ | 14979/70000 [5:17:26<18:38:44, 1.22s/step] Training: 21%|██▏ | 14980/70000 [5:17:27<19:11:05, 1.26s/step] Training: 21%|██▏ | 14981/70000 [5:17:29<19:32:12, 1.28s/step] Training: 21%|██▏ | 14982/70000 [5:17:30<19:07:45, 1.25s/step] Training: 21%|██▏ | 14983/70000 [5:17:31<19:28:29, 1.27s/step] Training: 21%|██▏ | 14984/70000 [5:17:33<19:17:51, 1.26s/step] Training: 21%|██▏ | 14985/70000 [5:17:34<19:24:21, 1.27s/step] Training: 21%|██▏ | 14986/70000 [5:17:35<19:02:10, 1.25s/step] Training: 21%|██▏ | 14987/70000 [5:17:36<18:46:09, 1.23s/step] Training: 21%|██▏ | 14988/70000 [5:17:38<19:14:59, 1.26s/step] Training: 21%|██▏ | 14989/70000 [5:17:39<20:03:07, 1.31s/step] Training: 21%|██▏ | 14990/70000 [5:17:40<19:28:44, 1.27s/step] Training: 21%|██▏ | 14991/70000 [5:17:41<19:41:00, 1.29s/step] Training: 21%|██▏ | 14992/70000 [5:17:43<19:54:13, 1.30s/step] Training: 21%|██▏ | 14993/70000 [5:17:44<20:08:03, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=61259 Training: 21%|██▏ | 14994/70000 [5:17:45<19:29:30, 1.28s/step] Training: 21%|██▏ | 14995/70000 [5:17:47<19:05:52, 1.25s/step] Training: 21%|██▏ | 14996/70000 [5:17:48<19:02:12, 1.25s/step] Training: 21%|██▏ | 14997/70000 [5:17:49<19:43:59, 1.29s/step] Training: 21%|██▏ | 14998/70000 [5:17:50<19:16:06, 1.26s/step] Training: 21%|██▏ | 14999/70000 [5:17:52<19:33:13, 1.28s/step] Training: 21%|██▏ | 15000/70000 [5:17:53<19:48:01, 1.30s/step]INFO 2026-03-13 01:27:45 ot_train.py:435 step:15K smpl:960K ep:3K epch:12.71 loss:0.119 grdn:11.089 lr:2.2e-05 updt_s:1.238 data_s:0.019 Training: 21%|██▏ | 15001/70000 [5:17:54<20:12:08, 1.32s/step] Training: 21%|██▏ | 15002/70000 [5:17:56<19:32:36, 1.28s/step] Training: 21%|██▏ | 15003/70000 [5:17:57<19:09:01, 1.25s/step] Training: 21%|██▏ | 15004/70000 [5:17:58<18:59:55, 1.24s/step] Training: 21%|██▏ | 15005/70000 [5:17:59<18:52:23, 1.24s/step] Training: 21%|██▏ | 15006/70000 [5:18:00<18:40:37, 1.22s/step] Training: 21%|██▏ | 15007/70000 [5:18:02<18:36:28, 1.22s/step] Training: 21%|██▏ | 15008/70000 [5:18:03<18:42:11, 1.22s/step] Training: 21%|██▏ | 15009/70000 [5:18:04<18:32:15, 1.21s/step] Training: 21%|██▏ | 15010/70000 [5:18:05<19:07:13, 1.25s/step] Training: 21%|██▏ | 15011/70000 [5:18:07<18:47:42, 1.23s/step] Training: 21%|██▏ | 15012/70000 [5:18:08<19:14:28, 1.26s/step] Training: 21%|██▏ | 15013/70000 [5:18:09<19:59:02, 1.31s/step] Training: 21%|██▏ | 15014/70000 [5:18:11<19:26:00, 1.27s/step] Training: 21%|██▏ | 15015/70000 [5:18:12<19:40:44, 1.29s/step] Training: 21%|██▏ | 15016/70000 [5:18:13<19:26:12, 1.27s/step] Training: 21%|██▏ | 15017/70000 [5:18:14<19:02:50, 1.25s/step] Training: 21%|██▏ | 15018/70000 [5:18:16<19:32:23, 1.28s/step] Training: 21%|██▏ | 15019/70000 [5:18:17<19:04:59, 1.25s/step] Training: 21%|██▏ | 15020/70000 [5:18:18<19:26:12, 1.27s/step] Training: 21%|██▏ | 15021/70000 [5:18:19<19:50:58, 1.30s/step] Training: 21%|██▏ | 15022/70000 [5:18:21<19:21:30, 1.27s/step] Training: 21%|██▏ | 15023/70000 [5:18:22<19:36:59, 1.28s/step] Training: 21%|██▏ | 15024/70000 [5:18:23<19:50:53, 1.30s/step] Training: 21%|██▏ | 15025/70000 [5:18:25<19:20:18, 1.27s/step] Training: 21%|██▏ | 15026/70000 [5:18:26<19:38:32, 1.29s/step] Training: 21%|██▏ | 15027/70000 [5:18:27<19:09:42, 1.25s/step] Training: 21%|██▏ | 15028/70000 [5:18:28<19:06:34, 1.25s/step] Training: 21%|██▏ | 15029/70000 [5:18:30<19:39:54, 1.29s/step] Training: 21%|██▏ | 15030/70000 [5:18:31<19:13:48, 1.26s/step] Training: 21%|██▏ | 15031/70000 [5:18:32<19:30:58, 1.28s/step] Training: 21%|██▏ | 15032/70000 [5:18:34<19:46:57, 1.30s/step] Training: 21%|██▏ | 15033/70000 [5:18:35<19:17:44, 1.26s/step] Training: 21%|██▏ | 15034/70000 [5:18:36<19:41:38, 1.29s/step] Training: 21%|██▏ | 15035/70000 [5:18:37<19:11:01, 1.26s/step] Training: 21%|██▏ | 15036/70000 [5:18:38<19:00:31, 1.25s/step] Training: 21%|██▏ | 15037/70000 [5:18:40<19:24:06, 1.27s/step] Training: 21%|██▏ | 15038/70000 [5:18:41<19:01:16, 1.25s/step] Training: 21%|██▏ | 15039/70000 [5:18:42<18:49:35, 1.23s/step] Training: 21%|██▏ | 15040/70000 [5:18:43<18:51:53, 1.24s/step] Training: 21%|██▏ | 15041/70000 [5:18:45<18:39:00, 1.22s/step] Training: 21%|██▏ | 15042/70000 [5:18:46<18:45:22, 1.23s/step] Training: 21%|██▏ | 15043/70000 [5:18:47<18:32:17, 1.21s/step] Training: 21%|██▏ | 15044/70000 [5:18:48<19:03:40, 1.25s/step] Training: 21%|██▏ | 15045/70000 [5:18:50<19:28:00, 1.28s/step] Training: 21%|██▏ | 15046/70000 [5:18:51<19:04:36, 1.25s/step] Training: 21%|██▏ | 15047/70000 [5:18:52<19:25:13, 1.27s/step] Training: 21%|██▏ | 15048/70000 [5:18:54<19:39:22, 1.29s/step] Training: 21%|██▏ | 15049/70000 [5:18:55<19:11:40, 1.26s/step] Training: 22%|██▏ | 15050/70000 [5:18:56<18:52:50, 1.24s/step] Training: 22%|██▏ | 15051/70000 [5:18:57<19:23:13, 1.27s/step] Training: 22%|██▏ | 15052/70000 [5:18:59<19:35:23, 1.28s/step] Training: 22%|██▏ | 15053/70000 [5:19:00<20:00:57, 1.31s/step] Training: 22%|██▏ | 15054/70000 [5:19:01<19:27:25, 1.27s/step] Training: 22%|██▏ | 15055/70000 [5:19:02<19:42:55, 1.29s/step] Training: 22%|██▏ | 15056/70000 [5:19:04<19:53:54, 1.30s/step] Training: 22%|██▏ | 15057/70000 [5:19:05<19:24:23, 1.27s/step] Training: 22%|██▏ | 15058/70000 [5:19:06<19:00:06, 1.25s/step] Training: 22%|██▏ | 15059/70000 [5:19:07<19:18:02, 1.26s/step] Training: 22%|██▏ | 15060/70000 [5:19:09<19:07:10, 1.25s/step] Training: 22%|██▏ | 15061/70000 [5:19:10<19:38:25, 1.29s/step] Training: 22%|██▏ | 15062/70000 [5:19:11<19:11:53, 1.26s/step] Training: 22%|██▏ | 15063/70000 [5:19:13<19:31:34, 1.28s/step] Training: 22%|██▏ | 15064/70000 [5:19:14<19:44:04, 1.29s/step] Training: 22%|██▏ | 15065/70000 [5:19:15<19:15:59, 1.26s/step] Training: 22%|██▏ | 15066/70000 [5:19:16<18:54:55, 1.24s/step] Training: 22%|██▏ | 15067/70000 [5:19:18<19:31:58, 1.28s/step] Training: 22%|██▏ | 15068/70000 [5:19:19<19:13:54, 1.26s/step] Training: 22%|██▏ | 15069/70000 [5:19:20<19:32:01, 1.28s/step] Training: 22%|██▏ | 15070/70000 [5:19:21<19:06:43, 1.25s/step] Training: 22%|██▏ | 15071/70000 [5:19:23<18:53:53, 1.24s/step] Training: 22%|██▏ | 15072/70000 [5:19:24<19:31:48, 1.28s/step] Training: 22%|██▏ | 15073/70000 [5:19:25<19:06:26, 1.25s/step] Training: 22%|██▏ | 15074/70000 [5:19:26<18:50:26, 1.23s/step] Training: 22%|██▏ | 15075/70000 [5:19:28<18:36:28, 1.22s/step] Training: 22%|██▏ | 15076/70000 [5:19:29<19:30:31, 1.28s/step] Training: 22%|██▏ | 15077/70000 [5:19:30<19:45:33, 1.30s/step] Training: 22%|██▏ | 15078/70000 [5:19:31<19:17:28, 1.26s/step] Training: 22%|██▏ | 15079/70000 [5:19:33<19:37:00, 1.29s/step] Training: 22%|██▏ | 15080/70000 [5:19:34<19:27:25, 1.28s/step] Training: 22%|██▏ | 15081/70000 [5:19:35<19:03:46, 1.25s/step] Training: 22%|██▏ | 15082/70000 [5:19:36<18:47:18, 1.23s/step] Training: 22%|██▏ | 15083/70000 [5:19:38<18:35:10, 1.22s/step] Training: 22%|██▏ | 15084/70000 [5:19:39<19:32:32, 1.28s/step] Training: 22%|██▏ | 15085/70000 [5:19:40<19:55:51, 1.31s/step] Training: 22%|██▏ | 15086/70000 [5:19:42<19:23:26, 1.27s/step] Training: 22%|██▏ | 15087/70000 [5:19:43<19:36:46, 1.29s/step] Training: 22%|██▏ | 15088/70000 [5:19:44<19:47:05, 1.30s/step] Training: 22%|██▏ | 15089/70000 [5:19:45<19:18:44, 1.27s/step] Training: 22%|██▏ | 15090/70000 [5:19:47<18:58:14, 1.24s/step] Training: 22%|██▏ | 15091/70000 [5:19:48<18:42:50, 1.23s/step] Training: 22%|██▏ | 15092/70000 [5:19:49<18:44:59, 1.23s/step] Training: 22%|██▏ | 15093/70000 [5:19:50<19:17:36, 1.26s/step] Training: 22%|██▏ | 15094/70000 [5:19:52<18:56:34, 1.24s/step] Training: 22%|██▏ | 15095/70000 [5:19:53<19:19:27, 1.27s/step] Training: 22%|██▏ | 15096/70000 [5:19:54<19:34:55, 1.28s/step] Training: 22%|██▏ | 15097/70000 [5:19:55<19:10:33, 1.26s/step] Training: 22%|██▏ | 15098/70000 [5:19:57<18:52:14, 1.24s/step] Training: 22%|██▏ | 15099/70000 [5:19:58<18:39:48, 1.22s/step] Training: 22%|██▏ | 15100/70000 [5:19:59<18:44:32, 1.23s/step]INFO 2026-03-13 01:29:51 ot_train.py:435 step:15K smpl:966K ep:3K epch:12.80 loss:0.118 grdn:10.840 lr:2.2e-05 updt_s:1.240 data_s:0.019 Training: 22%|██▏ | 15101/70000 [5:20:00<19:14:44, 1.26s/step] Training: 22%|██▏ | 15102/70000 [5:20:02<18:55:06, 1.24s/step] Training: 22%|██▏ | 15103/70000 [5:20:03<18:46:07, 1.23s/step] Training: 22%|██▏ | 15104/70000 [5:20:04<19:22:11, 1.27s/step] Training: 22%|██▏ | 15105/70000 [5:20:05<18:59:41, 1.25s/step] Training: 22%|██▏ | 15106/70000 [5:20:07<18:44:04, 1.23s/step] Training: 22%|██▏ | 15107/70000 [5:20:08<18:33:05, 1.22s/step] Training: 22%|██▏ | 15108/70000 [5:20:09<19:05:41, 1.25s/step] Training: 22%|██▏ | 15109/70000 [5:20:10<19:30:59, 1.28s/step] Training: 22%|██▏ | 15110/70000 [5:20:12<19:06:36, 1.25s/step] Training: 22%|██▏ | 15111/70000 [5:20:13<19:27:02, 1.28s/step] Training: 22%|██▏ | 15112/70000 [5:20:14<19:20:46, 1.27s/step] Training: 22%|██▏ | 15113/70000 [5:20:15<18:59:19, 1.25s/step] Training: 22%|██▏ | 15114/70000 [5:20:17<18:43:24, 1.23s/step] Training: 22%|██▏ | 15115/70000 [5:20:18<18:33:22, 1.22s/step] Training: 22%|██▏ | 15116/70000 [5:20:19<19:02:13, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=51669 Training: 22%|██▏ | 15117/70000 [5:20:21<19:59:15, 1.31s/step] Training: 22%|██▏ | 15118/70000 [5:20:22<19:25:04, 1.27s/step] Training: 22%|██▏ | 15119/70000 [5:20:23<19:39:45, 1.29s/step] Training: 22%|██▏ | 15120/70000 [5:20:24<19:51:31, 1.30s/step] Training: 22%|██▏ | 15121/70000 [5:20:26<19:20:46, 1.27s/step] Training: 22%|██▏ | 15122/70000 [5:20:27<18:59:01, 1.25s/step] Training: 22%|██▏ | 15123/70000 [5:20:28<18:44:26, 1.23s/step] Training: 22%|██▏ | 15124/70000 [5:20:29<18:44:06, 1.23s/step] Training: 22%|██▏ | 15125/70000 [5:20:31<19:31:35, 1.28s/step] Training: 22%|██▏ | 15126/70000 [5:20:32<19:07:29, 1.25s/step] Training: 22%|██▏ | 15127/70000 [5:20:33<19:26:09, 1.28s/step] Training: 22%|██▏ | 15128/70000 [5:20:34<19:42:26, 1.29s/step] Training: 22%|██▏ | 15129/70000 [5:20:36<19:14:53, 1.26s/step] Training: 22%|██▏ | 15130/70000 [5:20:37<18:55:40, 1.24s/step] Training: 22%|██▏ | 15131/70000 [5:20:38<18:41:02, 1.23s/step] Training: 22%|██▏ | 15132/70000 [5:20:39<18:35:08, 1.22s/step] Training: 22%|██▏ | 15133/70000 [5:20:41<19:05:39, 1.25s/step] Training: 22%|██▏ | 15134/70000 [5:20:42<19:28:38, 1.28s/step] Training: 22%|██▏ | 15135/70000 [5:20:43<19:05:13, 1.25s/step] Training: 22%|██▏ | 15136/70000 [5:20:44<19:40:32, 1.29s/step] Training: 22%|██▏ | 15137/70000 [5:20:46<19:12:14, 1.26s/step] Training: 22%|██▏ | 15138/70000 [5:20:47<18:53:10, 1.24s/step] Training: 22%|██▏ | 15139/70000 [5:20:48<18:40:45, 1.23s/step] Training: 22%|██▏ | 15140/70000 [5:20:49<19:08:27, 1.26s/step] Training: 22%|██▏ | 15141/70000 [5:20:51<19:37:07, 1.29s/step] Training: 22%|██▏ | 15142/70000 [5:20:52<19:07:39, 1.26s/step] Training: 22%|██▏ | 15143/70000 [5:20:53<19:26:56, 1.28s/step] Training: 22%|██▏ | 15144/70000 [5:20:54<19:18:48, 1.27s/step] Training: 22%|██▏ | 15145/70000 [5:20:56<18:59:56, 1.25s/step] Training: 22%|██▏ | 15146/70000 [5:20:57<18:43:52, 1.23s/step] Training: 22%|██▏ | 15147/70000 [5:20:58<18:33:19, 1.22s/step] Training: 22%|██▏ | 15148/70000 [5:20:59<19:06:16, 1.25s/step] Training: 22%|██▏ | 15149/70000 [5:21:01<19:37:11, 1.29s/step] Training: 22%|██▏ | 15150/70000 [5:21:02<19:52:48, 1.30s/step] Training: 22%|██▏ | 15151/70000 [5:21:03<19:59:32, 1.31s/step] Training: 22%|██▏ | 15152/70000 [5:21:05<20:04:33, 1.32s/step] Training: 22%|██▏ | 15153/70000 [5:21:06<19:30:13, 1.28s/step] Training: 22%|██▏ | 15154/70000 [5:21:07<19:08:03, 1.26s/step] Training: 22%|██▏ | 15155/70000 [5:21:08<18:49:26, 1.24s/step] Training: 22%|██▏ | 15156/70000 [5:21:10<18:49:42, 1.24s/step] Training: 22%|██▏ | 15157/70000 [5:21:11<19:28:28, 1.28s/step] Training: 22%|██▏ | 15158/70000 [5:21:12<19:59:36, 1.31s/step] Training: 22%|██▏ | 15159/70000 [5:21:14<20:02:33, 1.32s/step] Training: 22%|██▏ | 15160/70000 [5:21:15<20:07:18, 1.32s/step] Training: 22%|██▏ | 15161/70000 [5:21:16<19:31:43, 1.28s/step] Training: 22%|██▏ | 15162/70000 [5:21:17<19:06:52, 1.25s/step] Training: 22%|██▏ | 15163/70000 [5:21:19<18:49:50, 1.24s/step] Training: 22%|██▏ | 15164/70000 [5:21:20<18:44:50, 1.23s/step] Training: 22%|██▏ | 15165/70000 [5:21:21<19:11:01, 1.26s/step] Training: 22%|██▏ | 15166/70000 [5:21:22<18:57:51, 1.25s/step] Training: 22%|██▏ | 15167/70000 [5:21:24<18:45:18, 1.23s/step] Training: 22%|██▏ | 15168/70000 [5:21:25<19:27:30, 1.28s/step] Training: 22%|██▏ | 15169/70000 [5:21:26<19:03:05, 1.25s/step] Training: 22%|██▏ | 15170/70000 [5:21:27<18:45:28, 1.23s/step] Training: 22%|██▏ | 15171/70000 [5:21:28<18:34:01, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=6925 Training: 22%|██▏ | 15172/70000 [5:21:30<19:02:02, 1.25s/step] Training: 22%|██▏ | 15173/70000 [5:21:31<19:24:19, 1.27s/step] Training: 22%|██▏ | 15174/70000 [5:21:32<19:42:44, 1.29s/step] Training: 22%|██▏ | 15175/70000 [5:21:34<19:47:46, 1.30s/step] Training: 22%|██▏ | 15176/70000 [5:21:35<19:32:25, 1.28s/step] Training: 22%|██▏ | 15177/70000 [5:21:36<19:07:54, 1.26s/step] Training: 22%|██▏ | 15178/70000 [5:21:37<18:48:34, 1.24s/step] Training: 22%|██▏ | 15179/70000 [5:21:39<18:36:53, 1.22s/step] Training: 22%|██▏ | 15180/70000 [5:21:40<19:04:55, 1.25s/step] Training: 22%|██▏ | 15181/70000 [5:21:41<19:38:02, 1.29s/step] Training: 22%|██▏ | 15182/70000 [5:21:43<19:54:52, 1.31s/step] Training: 22%|██▏ | 15183/70000 [5:21:44<19:56:03, 1.31s/step] Training: 22%|██▏ | 15184/70000 [5:21:45<20:02:14, 1.32s/step] Training: 22%|██▏ | 15185/70000 [5:21:47<19:28:08, 1.28s/step] Training: 22%|██▏ | 15186/70000 [5:21:48<19:02:49, 1.25s/step] Training: 22%|██▏ | 15187/70000 [5:21:49<18:47:08, 1.23s/step] Training: 22%|██▏ | 15188/70000 [5:21:50<18:47:19, 1.23s/step] Training: 22%|██▏ | 15189/70000 [5:21:51<18:59:07, 1.25s/step] Training: 22%|██▏ | 15190/70000 [5:21:53<18:57:16, 1.24s/step] Training: 22%|██▏ | 15191/70000 [5:21:54<19:17:04, 1.27s/step] Training: 22%|██▏ | 15192/70000 [5:21:55<19:36:38, 1.29s/step] Training: 22%|██▏ | 15193/70000 [5:21:56<19:09:16, 1.26s/step] Training: 22%|██▏ | 15194/70000 [5:21:58<18:49:30, 1.24s/step] Training: 22%|██▏ | 15195/70000 [5:21:59<18:36:35, 1.22s/step] Training: 22%|██▏ | 15196/70000 [5:22:00<18:33:04, 1.22s/step] Training: 22%|██▏ | 15197/70000 [5:22:01<18:34:02, 1.22s/step] Training: 22%|██▏ | 15198/70000 [5:22:03<18:51:21, 1.24s/step] Training: 22%|██▏ | 15199/70000 [5:22:04<19:22:31, 1.27s/step] Training: 22%|██▏ | 15200/70000 [5:22:05<19:46:35, 1.30s/step]INFO 2026-03-13 01:31:57 ot_train.py:435 step:15K smpl:973K ep:3K epch:12.88 loss:0.114 grdn:10.585 lr:2.2e-05 updt_s:1.241 data_s:0.019 Training: 22%|██▏ | 15201/70000 [5:22:06<19:16:10, 1.27s/step] Training: 22%|██▏ | 15202/70000 [5:22:08<18:54:22, 1.24s/step] Training: 22%|██▏ | 15203/70000 [5:22:09<18:39:53, 1.23s/step] Training: 22%|██▏ | 15204/70000 [5:22:10<19:06:24, 1.26s/step] Training: 22%|██▏ | 15205/70000 [5:22:12<19:29:10, 1.28s/step] Training: 22%|██▏ | 15206/70000 [5:22:13<19:05:26, 1.25s/step] Training: 22%|██▏ | 15207/70000 [5:22:14<19:57:32, 1.31s/step] Training: 22%|██▏ | 15208/70000 [5:22:15<19:41:53, 1.29s/step] Training: 22%|██▏ | 15209/70000 [5:22:17<19:13:51, 1.26s/step] Training: 22%|██▏ | 15210/70000 [5:22:18<18:53:53, 1.24s/step] Training: 22%|██▏ | 15211/70000 [5:22:19<18:39:23, 1.23s/step] Training: 22%|██▏ | 15212/70000 [5:22:20<19:06:37, 1.26s/step] Training: 22%|██▏ | 15213/70000 [5:22:22<19:32:30, 1.28s/step] Training: 22%|██▏ | 15214/70000 [5:22:23<19:06:46, 1.26s/step] Training: 22%|██▏ | 15215/70000 [5:22:24<19:35:32, 1.29s/step] Training: 22%|██▏ | 15216/70000 [5:22:26<19:44:11, 1.30s/step] Training: 22%|██▏ | 15217/70000 [5:22:27<19:15:19, 1.27s/step] Training: 22%|██▏ | 15218/70000 [5:22:28<18:54:41, 1.24s/step] Training: 22%|██▏ | 15219/70000 [5:22:29<18:40:14, 1.23s/step] Training: 22%|██▏ | 15220/70000 [5:22:30<18:44:16, 1.23s/step] Training: 22%|██▏ | 15221/70000 [5:22:32<18:55:52, 1.24s/step] Training: 22%|██▏ | 15222/70000 [5:22:33<18:41:10, 1.23s/step] Training: 22%|██▏ | 15223/70000 [5:22:34<19:07:02, 1.26s/step] Training: 22%|██▏ | 15224/70000 [5:22:36<20:01:48, 1.32s/step] Training: 22%|██▏ | 15225/70000 [5:22:37<19:26:37, 1.28s/step] Training: 22%|██▏ | 15226/70000 [5:22:38<19:02:28, 1.25s/step] Training: 22%|██▏ | 15227/70000 [5:22:39<18:45:09, 1.23s/step] Training: 22%|██▏ | 15228/70000 [5:22:40<18:41:39, 1.23s/step] Training: 22%|██▏ | 15229/70000 [5:22:42<18:41:31, 1.23s/step] Training: 22%|██▏ | 15230/70000 [5:22:43<19:06:57, 1.26s/step] Training: 22%|██▏ | 15231/70000 [5:22:44<18:57:18, 1.25s/step] Training: 22%|██▏ | 15232/70000 [5:22:46<19:50:32, 1.30s/step] Training: 22%|██▏ | 15233/70000 [5:22:47<19:19:22, 1.27s/step] Training: 22%|██▏ | 15234/70000 [5:22:48<19:00:38, 1.25s/step] Training: 22%|██▏ | 15235/70000 [5:22:49<18:45:34, 1.23s/step] Training: 22%|██▏ | 15236/70000 [5:22:50<19:13:35, 1.26s/step] Training: 22%|██▏ | 15237/70000 [5:22:52<19:33:15, 1.29s/step] Training: 22%|██▏ | 15238/70000 [5:22:53<19:40:36, 1.29s/step] Training: 22%|██▏ | 15239/70000 [5:22:54<19:50:23, 1.30s/step] Training: 22%|██▏ | 15240/70000 [5:22:56<19:33:00, 1.29s/step] Training: 22%|██▏ | 15241/70000 [5:22:57<19:09:56, 1.26s/step] Training: 22%|██▏ | 15242/70000 [5:22:58<18:50:25, 1.24s/step] Training: 22%|██▏ | 15243/70000 [5:22:59<18:36:20, 1.22s/step] Training: 22%|██▏ | 15244/70000 [5:23:01<19:08:52, 1.26s/step] Training: 22%|██▏ | 15245/70000 [5:23:02<19:30:19, 1.28s/step] Training: 22%|██▏ | 15246/70000 [5:23:03<19:29:16, 1.28s/step] Training: 22%|██▏ | 15247/70000 [5:23:05<19:44:57, 1.30s/step] Training: 22%|██▏ | 15248/70000 [5:23:06<20:01:57, 1.32s/step] Training: 22%|██▏ | 15249/70000 [5:23:07<19:27:41, 1.28s/step] Training: 22%|██▏ | 15250/70000 [5:23:08<19:03:34, 1.25s/step] Training: 22%|██▏ | 15251/70000 [5:23:10<18:46:16, 1.23s/step] Training: 22%|██▏ | 15252/70000 [5:23:11<18:45:51, 1.23s/step] Training: 22%|██▏ | 15253/70000 [5:23:12<18:44:59, 1.23s/step] Training: 22%|██▏ | 15254/70000 [5:23:13<18:33:21, 1.22s/step] Training: 22%|██▏ | 15255/70000 [5:23:15<19:05:33, 1.26s/step] Training: 22%|██▏ | 15256/70000 [5:23:16<19:25:06, 1.28s/step] Training: 22%|██▏ | 15257/70000 [5:23:17<19:00:45, 1.25s/step] Training: 22%|██▏ | 15258/70000 [5:23:18<18:44:12, 1.23s/step] Training: 22%|██▏ | 15259/70000 [5:23:19<18:31:28, 1.22s/step] Training: 22%|██▏ | 15260/70000 [5:23:21<18:27:18, 1.21s/step] Training: 22%|██▏ | 15261/70000 [5:23:22<18:28:26, 1.21s/step] Training: 22%|██▏ | 15262/70000 [5:23:23<18:21:48, 1.21s/step] Training: 22%|██▏ | 15263/70000 [5:23:24<18:42:02, 1.23s/step] Training: 22%|██▏ | 15264/70000 [5:23:26<19:19:28, 1.27s/step] Training: 22%|██▏ | 15265/70000 [5:23:27<19:40:11, 1.29s/step] Training: 22%|██▏ | 15266/70000 [5:23:28<19:09:11, 1.26s/step] Training: 22%|██▏ | 15267/70000 [5:23:29<18:50:37, 1.24s/step] Training: 22%|██▏ | 15268/70000 [5:23:31<19:16:31, 1.27s/step] Training: 22%|██▏ | 15269/70000 [5:23:32<19:34:05, 1.29s/step] Training: 22%|██▏ | 15270/70000 [5:23:33<19:17:48, 1.27s/step] Training: 22%|██▏ | 15271/70000 [5:23:34<18:57:57, 1.25s/step] Training: 22%|██▏ | 15272/70000 [5:23:36<18:59:27, 1.25s/step] Training: 22%|██▏ | 15273/70000 [5:23:37<19:03:55, 1.25s/step] Training: 22%|██▏ | 15274/70000 [5:23:38<18:44:18, 1.23s/step] Training: 22%|██▏ | 15275/70000 [5:23:39<18:32:56, 1.22s/step] Training: 22%|██▏ | 15276/70000 [5:23:41<19:01:51, 1.25s/step] Training: 22%|██▏ | 15277/70000 [5:23:42<19:24:48, 1.28s/step] Training: 22%|██▏ | 15278/70000 [5:23:43<19:07:02, 1.26s/step] Training: 22%|██▏ | 15279/70000 [5:23:44<18:47:39, 1.24s/step] Training: 22%|██▏ | 15280/70000 [5:23:46<19:11:47, 1.26s/step] Training: 22%|██▏ | 15281/70000 [5:23:47<18:53:02, 1.24s/step] Training: 22%|██▏ | 15282/70000 [5:23:48<19:19:43, 1.27s/step] Training: 22%|██▏ | 15283/70000 [5:23:49<18:56:54, 1.25s/step] Training: 22%|██▏ | 15284/70000 [5:23:51<18:52:58, 1.24s/step] Training: 22%|██▏ | 15285/70000 [5:23:52<18:53:18, 1.24s/step] Training: 22%|██▏ | 15286/70000 [5:23:53<19:16:00, 1.27s/step] Training: 22%|██▏ | 15287/70000 [5:23:55<19:03:23, 1.25s/step] Training: 22%|██▏ | 15288/70000 [5:23:56<19:22:27, 1.27s/step] Training: 22%|██▏ | 15289/70000 [5:23:57<20:17:25, 1.34s/step] Training: 22%|██▏ | 15290/70000 [5:23:58<19:34:39, 1.29s/step] Training: 22%|██▏ | 15291/70000 [5:24:00<19:07:44, 1.26s/step] Training: 22%|██▏ | 15292/70000 [5:24:01<19:43:18, 1.30s/step] Training: 22%|██▏ | 15293/70000 [5:24:02<19:21:00, 1.27s/step] Training: 22%|██▏ | 15294/70000 [5:24:04<19:35:26, 1.29s/step] Training: 22%|██▏ | 15295/70000 [5:24:05<19:13:58, 1.27s/step] Training: 22%|██▏ | 15296/70000 [5:24:06<19:08:44, 1.26s/step] Training: 22%|██▏ | 15297/70000 [5:24:07<19:04:31, 1.26s/step] Training: 22%|██▏ | 15298/70000 [5:24:09<19:29:30, 1.28s/step] Training: 22%|██▏ | 15299/70000 [5:24:10<19:01:02, 1.25s/step] Training: 22%|██▏ | 15300/70000 [5:24:11<19:22:17, 1.27s/step]INFO 2026-03-13 01:34:03 ot_train.py:435 step:15K smpl:979K ep:3K epch:12.97 loss:0.119 grdn:11.652 lr:2.2e-05 updt_s:1.238 data_s:0.019 Training: 22%|██▏ | 15301/70000 [5:24:12<19:40:26, 1.29s/step] Training: 22%|██▏ | 15302/70000 [5:24:14<19:22:15, 1.27s/step] Training: 22%|██▏ | 15303/70000 [5:24:15<19:39:17, 1.29s/step] Training: 22%|██▏ | 15304/70000 [5:24:16<19:19:39, 1.27s/step] Training: 22%|██▏ | 15305/70000 [5:24:17<18:59:43, 1.25s/step] Training: 22%|██▏ | 15306/70000 [5:24:19<19:25:13, 1.28s/step] Training: 22%|██▏ | 15307/70000 [5:24:20<18:58:16, 1.25s/step] Training: 22%|██▏ | 15308/70000 [5:24:21<19:24:39, 1.28s/step] Training: 22%|██▏ | 15309/70000 [5:24:23<19:39:22, 1.29s/step] Training: 22%|██▏ | 15310/70000 [5:24:24<19:20:04, 1.27s/step] Training: 22%|██▏ | 15311/70000 [5:24:25<19:39:37, 1.29s/step] Training: 22%|██▏ | 15312/70000 [5:24:27<19:50:06, 1.31s/step] Training: 22%|██▏ | 15313/70000 [5:24:28<19:54:26, 1.31s/step] Training: 22%|██▏ | 15314/70000 [5:24:29<19:22:14, 1.28s/step] Training: 22%|██▏ | 15315/70000 [5:24:30<18:57:53, 1.25s/step] Training: 22%|██▏ | 15316/70000 [5:24:32<18:52:05, 1.24s/step] Training: 22%|██▏ | 15317/70000 [5:24:33<18:54:22, 1.24s/step] Training: 22%|██▏ | 15318/70000 [5:24:34<19:16:48, 1.27s/step] Training: 22%|██▏ | 15319/70000 [5:24:35<19:18:22, 1.27s/step] Training: 22%|██▏ | 15320/70000 [5:24:37<19:33:56, 1.29s/step] Training: 22%|██▏ | 15321/70000 [5:24:38<19:43:41, 1.30s/step] Training: 22%|██▏ | 15322/70000 [5:24:39<19:33:32, 1.29s/step] Training: 22%|██▏ | 15323/70000 [5:24:40<19:05:50, 1.26s/step] Training: 22%|██▏ | 15324/70000 [5:24:42<18:57:24, 1.25s/step] Training: 22%|██▏ | 15325/70000 [5:24:43<18:47:19, 1.24s/step] Training: 22%|██▏ | 15326/70000 [5:24:44<19:14:01, 1.27s/step] Training: 22%|██▏ | 15327/70000 [5:24:45<18:59:03, 1.25s/step] Training: 22%|██▏ | 15328/70000 [5:24:47<19:02:09, 1.25s/step] Training: 22%|██▏ | 15329/70000 [5:24:48<19:19:01, 1.27s/step] Training: 22%|██▏ | 15330/70000 [5:24:49<19:09:09, 1.26s/step] Training: 22%|██▏ | 15331/70000 [5:24:50<18:48:18, 1.24s/step] Training: 22%|██▏ | 15332/70000 [5:24:52<19:19:22, 1.27s/step] Training: 22%|██▏ | 15333/70000 [5:24:53<19:36:35, 1.29s/step] Training: 22%|██▏ | 15334/70000 [5:24:54<19:20:12, 1.27s/step] Training: 22%|██▏ | 15335/70000 [5:24:56<19:41:10, 1.30s/step] Training: 22%|██▏ | 15336/70000 [5:24:57<19:18:00, 1.27s/step] Training: 22%|██▏ | 15337/70000 [5:24:58<19:04:05, 1.26s/step] Training: 22%|██▏ | 15338/70000 [5:24:59<18:45:35, 1.24s/step] Training: 22%|██▏ | 15339/70000 [5:25:01<19:17:04, 1.27s/step] Training: 22%|██▏ | 15340/70000 [5:25:03<24:01:54, 1.58s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 22%|██▏ | 15341/70000 [5:25:07<36:51:47, 2.43s/step] Training: 22%|██▏ | 15342/70000 [5:25:09<31:15:17, 2.06s/step] Training: 22%|██▏ | 15343/70000 [5:25:10<28:15:12, 1.86s/step] Training: 22%|██▏ | 15344/70000 [5:25:11<26:03:36, 1.72s/step] Training: 22%|██▏ | 15345/70000 [5:25:13<24:29:53, 1.61s/step] Training: 22%|██▏ | 15346/70000 [5:25:14<22:33:29, 1.49s/step] Training: 22%|██▏ | 15347/70000 [5:25:15<22:20:27, 1.47s/step] Training: 22%|██▏ | 15348/70000 [5:25:17<22:02:28, 1.45s/step] Training: 22%|██▏ | 15349/70000 [5:25:18<21:01:01, 1.38s/step] Training: 22%|██▏ | 15350/70000 [5:25:19<20:50:40, 1.37s/step] Training: 22%|██▏ | 15351/70000 [5:25:21<20:11:56, 1.33s/step] Training: 22%|██▏ | 15352/70000 [5:25:22<20:17:18, 1.34s/step] Training: 22%|██▏ | 15353/70000 [5:25:23<20:16:41, 1.34s/step] Training: 22%|██▏ | 15354/70000 [5:25:24<19:36:50, 1.29s/step] Training: 22%|██▏ | 15355/70000 [5:25:26<19:54:36, 1.31s/step] Training: 22%|██▏ | 15356/70000 [5:25:27<19:26:33, 1.28s/step] Training: 22%|██▏ | 15357/70000 [5:25:28<19:09:47, 1.26s/step] Training: 22%|██▏ | 15358/70000 [5:25:30<19:36:04, 1.29s/step] Training: 22%|██▏ | 15359/70000 [5:25:31<19:14:10, 1.27s/step] Training: 22%|██▏ | 15360/70000 [5:25:32<19:06:54, 1.26s/step] Training: 22%|██▏ | 15361/70000 [5:25:33<19:23:05, 1.28s/step] Training: 22%|██▏ | 15362/70000 [5:25:35<18:58:07, 1.25s/step] Training: 22%|██▏ | 15363/70000 [5:25:36<19:26:33, 1.28s/step] Training: 22%|██▏ | 15364/70000 [5:25:37<19:39:49, 1.30s/step] Training: 22%|██▏ | 15365/70000 [5:25:39<19:51:13, 1.31s/step] Training: 22%|██▏ | 15366/70000 [5:25:40<19:59:10, 1.32s/step] Training: 22%|██▏ | 15367/70000 [5:25:41<20:05:56, 1.32s/step] Training: 22%|██▏ | 15368/70000 [5:25:42<19:35:59, 1.29s/step] Training: 22%|██▏ | 15369/70000 [5:25:44<19:13:26, 1.27s/step] Training: 22%|██▏ | 15370/70000 [5:25:45<18:52:21, 1.24s/step] Training: 22%|██▏ | 15371/70000 [5:25:46<18:37:20, 1.23s/step] Training: 22%|██▏ | 15372/70000 [5:25:48<19:39:20, 1.30s/step] Training: 22%|██▏ | 15373/70000 [5:25:49<19:49:22, 1.31s/step] Training: 22%|██▏ | 15374/70000 [5:25:50<19:25:04, 1.28s/step] Training: 22%|██▏ | 15375/70000 [5:25:51<19:43:51, 1.30s/step] Training: 22%|██▏ | 15376/70000 [5:25:53<19:54:51, 1.31s/step] Training: 22%|██▏ | 15377/70000 [5:25:54<19:59:19, 1.32s/step] Training: 22%|██▏ | 15378/70000 [5:25:55<19:23:48, 1.28s/step] Training: 22%|██▏ | 15379/70000 [5:25:56<18:59:04, 1.25s/step] Training: 22%|██▏ | 15380/70000 [5:25:58<19:52:10, 1.31s/step] Training: 22%|██▏ | 15381/70000 [5:25:59<19:32:50, 1.29s/step] Training: 22%|██▏ | 15382/70000 [5:26:00<19:42:30, 1.30s/step] Training: 22%|██▏ | 15383/70000 [5:26:02<19:23:41, 1.28s/step] Training: 22%|██▏ | 15384/70000 [5:26:03<19:41:20, 1.30s/step] Training: 22%|██▏ | 15385/70000 [5:26:04<19:49:28, 1.31s/step] Training: 22%|██▏ | 15386/70000 [5:26:06<19:16:51, 1.27s/step] Training: 22%|██▏ | 15387/70000 [5:26:07<18:56:11, 1.25s/step] Training: 22%|██▏ | 15388/70000 [5:26:08<18:54:17, 1.25s/step] Training: 22%|██▏ | 15389/70000 [5:26:09<18:50:58, 1.24s/step] Training: 22%|██▏ | 15390/70000 [5:26:11<19:14:42, 1.27s/step] Training: 22%|██▏ | 15391/70000 [5:26:12<19:01:28, 1.25s/step] Training: 22%|██▏ | 15392/70000 [5:26:13<18:57:13, 1.25s/step] Training: 22%|██▏ | 15393/70000 [5:26:14<19:17:47, 1.27s/step] Training: 22%|██▏ | 15394/70000 [5:26:16<18:55:52, 1.25s/step] Training: 22%|██▏ | 15395/70000 [5:26:17<18:40:00, 1.23s/step] Training: 22%|██▏ | 15396/70000 [5:26:18<19:09:18, 1.26s/step] Training: 22%|██▏ | 15397/70000 [5:26:19<18:50:41, 1.24s/step] Training: 22%|██▏ | 15398/70000 [5:26:21<19:49:19, 1.31s/step] Training: 22%|██▏ | 15399/70000 [5:26:22<19:55:12, 1.31s/step] Training: 22%|██▏ | 15400/70000 [5:26:23<19:27:01, 1.28s/step]INFO 2026-03-13 01:36:15 ot_train.py:435 step:15K smpl:986K ep:3K epch:13.05 loss:0.100 grdn:10.521 lr:2.2e-05 updt_s:1.261 data_s:0.058 Training: 22%|██▏ | 15401/70000 [5:26:24<19:06:42, 1.26s/step] Training: 22%|██▏ | 15402/70000 [5:26:26<18:47:37, 1.24s/step] Training: 22%|██▏ | 15403/70000 [5:26:27<18:33:10, 1.22s/step] Training: 22%|██▏ | 15404/70000 [5:26:28<19:02:55, 1.26s/step] Training: 22%|██▏ | 15405/70000 [5:26:30<19:58:17, 1.32s/step] Training: 22%|██▏ | 15406/70000 [5:26:31<19:25:35, 1.28s/step] Training: 22%|██▏ | 15407/70000 [5:26:32<19:39:00, 1.30s/step] Training: 22%|██▏ | 15408/70000 [5:26:33<19:49:05, 1.31s/step] Training: 22%|██▏ | 15409/70000 [5:26:35<19:55:12, 1.31s/step] Training: 22%|██▏ | 15410/70000 [5:26:36<19:21:09, 1.28s/step] Training: 22%|██▏ | 15411/70000 [5:26:37<18:57:36, 1.25s/step] Training: 22%|██▏ | 15412/70000 [5:26:38<18:51:50, 1.24s/step] Training: 22%|██▏ | 15413/70000 [5:26:40<18:50:42, 1.24s/step] Training: 22%|██▏ | 15414/70000 [5:26:41<19:14:15, 1.27s/step] Training: 22%|██▏ | 15415/70000 [5:26:42<19:06:38, 1.26s/step] Training: 22%|██▏ | 15416/70000 [5:26:44<19:26:07, 1.28s/step] Training: 22%|██▏ | 15417/70000 [5:26:45<19:38:16, 1.30s/step] Training: 22%|██▏ | 15418/70000 [5:26:46<19:09:08, 1.26s/step] Training: 22%|██▏ | 15419/70000 [5:26:47<18:49:25, 1.24s/step] Training: 22%|██▏ | 15420/70000 [5:26:48<18:42:47, 1.23s/step] Training: 22%|██▏ | 15421/70000 [5:26:50<18:43:30, 1.24s/step] Training: 22%|██▏ | 15422/70000 [5:26:51<19:07:42, 1.26s/step] Training: 22%|██▏ | 15423/70000 [5:26:52<18:54:40, 1.25s/step] Training: 22%|██▏ | 15424/70000 [5:26:54<18:54:19, 1.25s/step] Training: 22%|██▏ | 15425/70000 [5:26:55<19:15:50, 1.27s/step] Training: 22%|██▏ | 15426/70000 [5:26:56<18:52:51, 1.25s/step] Training: 22%|██▏ | 15427/70000 [5:26:57<18:36:47, 1.23s/step] Training: 22%|██▏ | 15428/70000 [5:26:59<19:04:43, 1.26s/step] Training: 22%|██▏ | 15429/70000 [5:27:00<18:46:48, 1.24s/step] Training: 22%|██▏ | 15430/70000 [5:27:01<19:37:47, 1.29s/step] Training: 22%|██▏ | 15431/70000 [5:27:02<19:47:57, 1.31s/step] Training: 22%|██▏ | 15432/70000 [5:27:04<19:21:47, 1.28s/step] Training: 22%|██▏ | 15433/70000 [5:27:05<19:02:34, 1.26s/step] Training: 22%|██▏ | 15434/70000 [5:27:06<18:44:44, 1.24s/step] Training: 22%|██▏ | 15435/70000 [5:27:07<18:31:47, 1.22s/step] Training: 22%|██▏ | 15436/70000 [5:27:09<19:03:17, 1.26s/step] Training: 22%|██▏ | 15437/70000 [5:27:10<19:23:45, 1.28s/step] Training: 22%|██▏ | 15438/70000 [5:27:11<19:25:31, 1.28s/step] Training: 22%|██▏ | 15439/70000 [5:27:13<19:39:41, 1.30s/step] Training: 22%|██▏ | 15440/70000 [5:27:14<19:49:40, 1.31s/step] Training: 22%|██▏ | 15441/70000 [5:27:15<19:55:50, 1.32s/step] Training: 22%|██▏ | 15442/70000 [5:27:16<19:21:23, 1.28s/step] Training: 22%|██▏ | 15443/70000 [5:27:18<18:57:38, 1.25s/step] Training: 22%|██▏ | 15444/70000 [5:27:19<18:52:38, 1.25s/step] Training: 22%|██▏ | 15445/70000 [5:27:20<19:09:29, 1.26s/step] Training: 22%|██▏ | 15446/70000 [5:27:22<19:32:54, 1.29s/step] Training: 22%|██▏ | 15447/70000 [5:27:23<19:19:12, 1.27s/step] Training: 22%|██▏ | 15448/70000 [5:27:24<19:34:44, 1.29s/step] Training: 22%|██▏ | 15449/70000 [5:27:25<19:45:46, 1.30s/step] Training: 22%|██▏ | 15450/70000 [5:27:27<19:14:52, 1.27s/step] Training: 22%|██▏ | 15451/70000 [5:27:28<18:52:54, 1.25s/step] Training: 22%|██▏ | 15452/70000 [5:27:29<18:47:06, 1.24s/step] Training: 22%|██▏ | 15453/70000 [5:27:30<19:14:23, 1.27s/step] Training: 22%|██▏ | 15454/70000 [5:27:32<19:40:09, 1.30s/step] Training: 22%|██▏ | 15455/70000 [5:27:33<19:14:58, 1.27s/step] Training: 22%|██▏ | 15456/70000 [5:27:34<19:05:17, 1.26s/step] Training: 22%|██▏ | 15457/70000 [5:27:36<19:23:06, 1.28s/step] Training: 22%|██▏ | 15458/70000 [5:27:37<18:58:49, 1.25s/step] Training: 22%|██▏ | 15459/70000 [5:27:38<18:41:20, 1.23s/step] Training: 22%|██▏ | 15460/70000 [5:27:39<19:09:17, 1.26s/step] Training: 22%|██▏ | 15461/70000 [5:27:40<18:59:44, 1.25s/step] Training: 22%|██▏ | 15462/70000 [5:27:42<19:49:48, 1.31s/step] Training: 22%|██▏ | 15463/70000 [5:27:43<20:16:48, 1.34s/step] Training: 22%|██▏ | 15464/70000 [5:27:45<19:41:12, 1.30s/step] Training: 22%|██▏ | 15465/70000 [5:27:46<19:16:53, 1.27s/step] Training: 22%|██▏ | 15466/70000 [5:27:47<18:54:05, 1.25s/step] Training: 22%|██▏ | 15467/70000 [5:27:48<18:39:32, 1.23s/step] Training: 22%|██▏ | 15468/70000 [5:27:49<19:06:25, 1.26s/step] Training: 22%|██▏ | 15469/70000 [5:27:51<19:25:50, 1.28s/step] Training: 22%|██▏ | 15470/70000 [5:27:52<19:07:56, 1.26s/step] Training: 22%|██▏ | 15471/70000 [5:27:53<19:59:10, 1.32s/step] Training: 22%|██▏ | 15472/70000 [5:27:55<20:03:30, 1.32s/step] Training: 22%|██▏ | 15473/70000 [5:27:56<20:05:11, 1.33s/step] Training: 22%|██▏ | 15474/70000 [5:27:57<19:28:40, 1.29s/step] Training: 22%|██▏ | 15475/70000 [5:27:58<19:01:49, 1.26s/step] Training: 22%|██▏ | 15476/70000 [5:28:00<18:55:59, 1.25s/step] Training: 22%|██▏ | 15477/70000 [5:28:01<19:27:39, 1.28s/step] Training: 22%|██▏ | 15478/70000 [5:28:02<19:42:12, 1.30s/step] Training: 22%|██▏ | 15479/70000 [5:28:04<19:52:00, 1.31s/step] Training: 22%|██▏ | 15480/70000 [5:28:05<19:56:12, 1.32s/step] Training: 22%|██▏ | 15481/70000 [5:28:06<19:59:02, 1.32s/step] Training: 22%|██▏ | 15482/70000 [5:28:08<19:22:26, 1.28s/step] Training: 22%|██▏ | 15483/70000 [5:28:09<18:57:36, 1.25s/step] Training: 22%|██▏ | 15484/70000 [5:28:10<18:47:32, 1.24s/step] Training: 22%|██▏ | 15485/70000 [5:28:11<19:13:03, 1.27s/step] Training: 22%|██▏ | 15486/70000 [5:28:13<19:33:07, 1.29s/step] Training: 22%|██▏ | 15487/70000 [5:28:14<19:51:29, 1.31s/step] Training: 22%|██▏ | 15488/70000 [5:28:15<19:31:45, 1.29s/step] Training: 22%|██▏ | 15489/70000 [5:28:16<19:14:10, 1.27s/step] Training: 22%|██▏ | 15490/70000 [5:28:18<18:51:47, 1.25s/step] Training: 22%|██▏ | 15491/70000 [5:28:19<18:36:35, 1.23s/step] Training: 22%|██▏ | 15492/70000 [5:28:20<19:03:47, 1.26s/step] Training: 22%|██▏ | 15493/70000 [5:28:22<19:24:41, 1.28s/step] Training: 22%|██▏ | 15494/70000 [5:28:23<19:39:09, 1.30s/step] Training: 22%|██▏ | 15495/70000 [5:28:24<19:49:03, 1.31s/step] Training: 22%|██▏ | 15496/70000 [5:28:25<19:22:46, 1.28s/step] Training: 22%|██▏ | 15497/70000 [5:28:27<19:03:10, 1.26s/step] Training: 22%|██▏ | 15498/70000 [5:28:28<18:45:02, 1.24s/step] Training: 22%|██▏ | 15499/70000 [5:28:29<18:30:51, 1.22s/step] Training: 22%|██▏ | 15500/70000 [5:28:30<19:01:17, 1.26s/step]INFO 2026-03-13 01:38:22 ot_train.py:435 step:16K smpl:992K ep:3K epch:13.14 loss:0.105 grdn:9.397 lr:2.2e-05 updt_s:1.249 data_s:0.019 Training: 22%|██▏ | 15501/70000 [5:28:32<19:26:08, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=55486 Training: 22%|██▏ | 15502/70000 [5:28:33<19:07:28, 1.26s/step] Training: 22%|██▏ | 15503/70000 [5:28:34<19:24:35, 1.28s/step] Training: 22%|██▏ | 15504/70000 [5:28:36<20:11:18, 1.33s/step] Training: 22%|██▏ | 15505/70000 [5:28:37<20:09:18, 1.33s/step] Training: 22%|██▏ | 15506/70000 [5:28:38<19:30:09, 1.29s/step] Training: 22%|██▏ | 15507/70000 [5:28:39<19:03:27, 1.26s/step] Training: 22%|██▏ | 15508/70000 [5:28:41<18:56:53, 1.25s/step] Training: 22%|██▏ | 15509/70000 [5:28:42<19:27:09, 1.29s/step] Training: 22%|██▏ | 15510/70000 [5:28:43<19:37:25, 1.30s/step] Training: 22%|██▏ | 15511/70000 [5:28:45<19:16:44, 1.27s/step] Training: 22%|██▏ | 15512/70000 [5:28:46<20:03:48, 1.33s/step] Training: 22%|██▏ | 15513/70000 [5:28:47<20:05:06, 1.33s/step] Training: 22%|██▏ | 15514/70000 [5:28:48<19:26:58, 1.29s/step] Training: 22%|██▏ | 15515/70000 [5:28:50<19:00:17, 1.26s/step] Training: 22%|██▏ | 15516/70000 [5:28:51<18:46:49, 1.24s/step] Training: 22%|██▏ | 15517/70000 [5:28:52<19:11:08, 1.27s/step] Training: 22%|██▏ | 15518/70000 [5:28:54<19:24:50, 1.28s/step] Training: 22%|██▏ | 15519/70000 [5:28:55<19:05:32, 1.26s/step] Training: 22%|██▏ | 15520/70000 [5:28:56<19:44:52, 1.30s/step] Training: 22%|██▏ | 15521/70000 [5:28:57<19:20:16, 1.28s/step] Training: 22%|██▏ | 15522/70000 [5:28:59<18:55:41, 1.25s/step] Training: 22%|██▏ | 15523/70000 [5:29:00<18:38:30, 1.23s/step] Training: 22%|██▏ | 15524/70000 [5:29:01<19:03:21, 1.26s/step] Training: 22%|██▏ | 15525/70000 [5:29:02<19:20:38, 1.28s/step] Training: 22%|██▏ | 15526/70000 [5:29:04<19:38:06, 1.30s/step] Training: 22%|██▏ | 15527/70000 [5:29:05<19:47:14, 1.31s/step] Training: 22%|██▏ | 15528/70000 [5:29:06<19:19:42, 1.28s/step] Training: 22%|██▏ | 15529/70000 [5:29:08<19:40:05, 1.30s/step] Training: 22%|██▏ | 15530/70000 [5:29:09<19:06:42, 1.26s/step] Training: 22%|██▏ | 15531/70000 [5:29:10<18:46:08, 1.24s/step] Training: 22%|██▏ | 15532/70000 [5:29:11<19:10:58, 1.27s/step] Training: 22%|██▏ | 15533/70000 [5:29:13<19:30:16, 1.29s/step] Training: 22%|██▏ | 15534/70000 [5:29:14<19:10:53, 1.27s/step] Training: 22%|██▏ | 15535/70000 [5:29:15<19:25:56, 1.28s/step] Training: 22%|██▏ | 15536/70000 [5:29:17<19:38:44, 1.30s/step] Training: 22%|██▏ | 15537/70000 [5:29:18<20:15:48, 1.34s/step] Training: 22%|██▏ | 15538/70000 [5:29:19<19:35:01, 1.29s/step] Training: 22%|██▏ | 15539/70000 [5:29:20<19:05:49, 1.26s/step] Training: 22%|██▏ | 15540/70000 [5:29:22<19:00:22, 1.26s/step] Training: 22%|██▏ | 15541/70000 [5:29:23<19:30:59, 1.29s/step] Training: 22%|██▏ | 15542/70000 [5:29:24<19:40:31, 1.30s/step] Training: 22%|██▏ | 15543/70000 [5:29:26<19:19:58, 1.28s/step] Training: 22%|██▏ | 15544/70000 [5:29:27<19:35:45, 1.30s/step] Training: 22%|██▏ | 15545/70000 [5:29:28<19:44:16, 1.30s/step] Training: 22%|██▏ | 15546/70000 [5:29:29<19:13:01, 1.27s/step] Training: 22%|██▏ | 15547/70000 [5:29:31<18:51:49, 1.25s/step] Training: 22%|██▏ | 15548/70000 [5:29:32<18:44:07, 1.24s/step] Training: 22%|██▏ | 15549/70000 [5:29:33<19:10:22, 1.27s/step] Training: 22%|██▏ | 15550/70000 [5:29:34<19:26:00, 1.28s/step] Training: 22%|██▏ | 15551/70000 [5:29:36<19:04:38, 1.26s/step] Training: 22%|██▏ | 15552/70000 [5:29:37<18:58:37, 1.25s/step] Training: 22%|██▏ | 15553/70000 [5:29:38<18:51:38, 1.25s/step] Training: 22%|██▏ | 15554/70000 [5:29:39<18:35:49, 1.23s/step] Training: 22%|██▏ | 15555/70000 [5:29:40<18:26:13, 1.22s/step] Training: 22%|██▏ | 15556/70000 [5:29:42<18:59:18, 1.26s/step] Training: 22%|██▏ | 15557/70000 [5:29:43<19:23:48, 1.28s/step] Training: 22%|██▏ | 15558/70000 [5:29:44<19:10:02, 1.27s/step] Training: 22%|██▏ | 15559/70000 [5:29:46<19:27:53, 1.29s/step] Training: 22%|██▏ | 15560/70000 [5:29:47<19:09:34, 1.27s/step] Training: 22%|██▏ | 15561/70000 [5:29:48<19:08:26, 1.27s/step] Training: 22%|██▏ | 15562/70000 [5:29:49<18:45:07, 1.24s/step] Training: 22%|██▏ | 15563/70000 [5:29:51<18:31:55, 1.23s/step] Training: 22%|██▏ | 15564/70000 [5:29:52<19:01:40, 1.26s/step] Training: 22%|██▏ | 15565/70000 [5:29:53<19:23:58, 1.28s/step] Training: 22%|██▏ | 15566/70000 [5:29:54<19:05:57, 1.26s/step] Training: 22%|██▏ | 15567/70000 [5:29:56<19:26:31, 1.29s/step] Training: 22%|██▏ | 15568/70000 [5:29:57<19:41:25, 1.30s/step] Training: 22%|██▏ | 15569/70000 [5:29:58<19:10:29, 1.27s/step] Training: 22%|██▏ | 15570/70000 [5:30:00<19:33:12, 1.29s/step] Training: 22%|██▏ | 15571/70000 [5:30:01<19:03:34, 1.26s/step] Training: 22%|██▏ | 15572/70000 [5:30:02<19:00:47, 1.26s/step] Training: 22%|██▏ | 15573/70000 [5:30:03<19:27:25, 1.29s/step] Training: 22%|██▏ | 15574/70000 [5:30:05<19:40:31, 1.30s/step] Training: 22%|██▏ | 15575/70000 [5:30:06<19:20:18, 1.28s/step] Training: 22%|██▏ | 15576/70000 [5:30:07<19:35:39, 1.30s/step] Training: 22%|██▏ | 15577/70000 [5:30:09<19:45:16, 1.31s/step] Training: 22%|██▏ | 15578/70000 [5:30:10<20:14:00, 1.34s/step] Training: 22%|██▏ | 15579/70000 [5:30:11<19:32:40, 1.29s/step] Training: 22%|██▏ | 15580/70000 [5:30:13<19:13:25, 1.27s/step] Training: 22%|██▏ | 15581/70000 [5:30:14<19:29:25, 1.29s/step] Training: 22%|██▏ | 15582/70000 [5:30:15<19:44:06, 1.31s/step] Training: 22%|██▏ | 15583/70000 [5:30:16<19:17:57, 1.28s/step] Training: 22%|██▏ | 15584/70000 [5:30:18<18:58:39, 1.26s/step] Training: 22%|██▏ | 15585/70000 [5:30:19<18:43:51, 1.24s/step] Training: 22%|██▏ | 15586/70000 [5:30:20<18:31:43, 1.23s/step] Training: 22%|██▏ | 15587/70000 [5:30:21<19:04:45, 1.26s/step] Training: 22%|██▏ | 15588/70000 [5:30:23<19:18:38, 1.28s/step] Training: 22%|██▏ | 15589/70000 [5:30:24<19:35:43, 1.30s/step] Training: 22%|██▏ | 15590/70000 [5:30:25<19:15:22, 1.27s/step] Training: 22%|██▏ | 15591/70000 [5:30:27<19:29:40, 1.29s/step] Training: 22%|██▏ | 15592/70000 [5:30:28<19:16:11, 1.28s/step] Training: 22%|██▏ | 15593/70000 [5:30:29<19:04:42, 1.26s/step] Training: 22%|██▏ | 15594/70000 [5:30:30<19:29:37, 1.29s/step] Training: 22%|██▏ | 15595/70000 [5:30:32<18:59:23, 1.26s/step] Training: 22%|██▏ | 15596/70000 [5:30:33<19:18:42, 1.28s/step] Training: 22%|██▏ | 15597/70000 [5:30:34<19:34:16, 1.30s/step] Training: 22%|██▏ | 15598/70000 [5:30:35<19:15:22, 1.27s/step] Training: 22%|██▏ | 15599/70000 [5:30:37<19:29:19, 1.29s/step] Training: 22%|██▏ | 15600/70000 [5:30:38<19:02:15, 1.26s/step]INFO 2026-03-13 01:40:30 ot_train.py:435 step:16K smpl:998K ep:3K epch:13.22 loss:0.094 grdn:10.629 lr:2.2e-05 updt_s:1.255 data_s:0.019 Training: 22%|██▏ | 15601/70000 [5:30:39<19:16:40, 1.28s/step] Training: 22%|██▏ | 15602/70000 [5:30:41<19:27:47, 1.29s/step] Training: 22%|██▏ | 15603/70000 [5:30:42<19:42:53, 1.30s/step] Training: 22%|██▏ | 15604/70000 [5:30:43<19:29:42, 1.29s/step] Training: 22%|██▏ | 15605/70000 [5:30:45<19:50:03, 1.31s/step] Training: 22%|██▏ | 15606/70000 [5:30:46<19:16:09, 1.28s/step] Training: 22%|██▏ | 15607/70000 [5:30:47<19:26:05, 1.29s/step] Training: 22%|██▏ | 15608/70000 [5:30:48<19:40:19, 1.30s/step] Training: 22%|██▏ | 15609/70000 [5:30:50<19:09:30, 1.27s/step] Training: 22%|██▏ | 15610/70000 [5:30:51<19:22:41, 1.28s/step] Training: 22%|██▏ | 15611/70000 [5:30:52<19:41:17, 1.30s/step] Training: 22%|██▏ | 15612/70000 [5:30:53<19:14:24, 1.27s/step] Training: 22%|██▏ | 15613/70000 [5:30:55<19:29:38, 1.29s/step] Training: 22%|██▏ | 15614/70000 [5:30:56<19:43:48, 1.31s/step] Training: 22%|██▏ | 15615/70000 [5:30:57<19:15:18, 1.27s/step] Training: 22%|██▏ | 15616/70000 [5:30:59<19:30:44, 1.29s/step] Training: 22%|██▏ | 15617/70000 [5:31:00<19:03:22, 1.26s/step] Training: 22%|██▏ | 15618/70000 [5:31:01<19:11:52, 1.27s/step] Training: 22%|██▏ | 15619/70000 [5:31:02<18:53:20, 1.25s/step] Training: 22%|██▏ | 15620/70000 [5:31:04<18:36:07, 1.23s/step] Training: 22%|██▏ | 15621/70000 [5:31:05<19:40:01, 1.30s/step] Training: 22%|██▏ | 15622/70000 [5:31:06<19:19:03, 1.28s/step] Training: 22%|██▏ | 15623/70000 [5:31:08<19:32:15, 1.29s/step] Training: 22%|██▏ | 15624/70000 [5:31:09<19:43:13, 1.31s/step] Training: 22%|██▏ | 15625/70000 [5:31:10<19:12:13, 1.27s/step] Training: 22%|██▏ | 15626/70000 [5:31:11<18:50:30, 1.25s/step] Training: 22%|██▏ | 15627/70000 [5:31:13<18:49:58, 1.25s/step] Training: 22%|██▏ | 15628/70000 [5:31:14<19:13:43, 1.27s/step] Training: 22%|██▏ | 15629/70000 [5:31:15<19:30:48, 1.29s/step] Training: 22%|██▏ | 15630/70000 [5:31:16<19:17:13, 1.28s/step] Training: 22%|██▏ | 15631/70000 [5:31:18<19:32:06, 1.29s/step] Training: 22%|██▏ | 15632/70000 [5:31:19<19:11:33, 1.27s/step] Training: 22%|██▏ | 15633/70000 [5:31:20<18:50:25, 1.25s/step] Training: 22%|██▏ | 15634/70000 [5:31:21<18:34:59, 1.23s/step] Training: 22%|██▏ | 15635/70000 [5:31:23<18:25:02, 1.22s/step] Training: 22%|██▏ | 15636/70000 [5:31:24<18:59:17, 1.26s/step] Training: 22%|██▏ | 15637/70000 [5:31:25<18:40:19, 1.24s/step] Training: 22%|██▏ | 15638/70000 [5:31:26<19:03:19, 1.26s/step] Training: 22%|██▏ | 15639/70000 [5:31:28<19:15:44, 1.28s/step] Training: 22%|██▏ | 15640/70000 [5:31:29<19:33:29, 1.30s/step] Training: 22%|██▏ | 15641/70000 [5:31:30<19:05:52, 1.26s/step] Training: 22%|██▏ | 15642/70000 [5:31:32<18:56:13, 1.25s/step] Training: 22%|██▏ | 15643/70000 [5:31:33<19:22:45, 1.28s/step] Training: 22%|██▏ | 15644/70000 [5:31:34<19:07:07, 1.27s/step] Training: 22%|██▏ | 15645/70000 [5:31:35<18:59:18, 1.26s/step] Training: 22%|██▏ | 15646/70000 [5:31:37<19:45:26, 1.31s/step] Training: 22%|██▏ | 15647/70000 [5:31:38<19:21:12, 1.28s/step] Training: 22%|██▏ | 15648/70000 [5:31:39<19:36:19, 1.30s/step] Training: 22%|██▏ | 15649/70000 [5:31:41<19:07:28, 1.27s/step] Training: 22%|██▏ | 15650/70000 [5:31:42<18:51:25, 1.25s/step] Training: 22%|██▏ | 15651/70000 [5:31:43<18:35:40, 1.23s/step] Training: 22%|██▏ | 15652/70000 [5:31:44<19:05:20, 1.26s/step] Training: 22%|██▏ | 15653/70000 [5:31:46<19:07:27, 1.27s/step] Training: 22%|██▏ | 15654/70000 [5:31:47<19:19:49, 1.28s/step] Training: 22%|██▏ | 15655/70000 [5:31:48<19:31:31, 1.29s/step] Training: 22%|██▏ | 15656/70000 [5:31:49<19:42:36, 1.31s/step] Training: 22%|██▏ | 15657/70000 [5:31:51<19:14:26, 1.27s/step] Training: 22%|██▏ | 15658/70000 [5:31:52<19:32:06, 1.29s/step] Training: 22%|██▏ | 15659/70000 [5:31:53<19:05:06, 1.26s/step] Training: 22%|██▏ | 15660/70000 [5:31:55<19:52:22, 1.32s/step] Training: 22%|██▏ | 15661/70000 [5:31:56<19:55:50, 1.32s/step] Training: 22%|██▏ | 15662/70000 [5:31:57<19:34:26, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=48929 Training: 22%|██▏ | 15663/70000 [5:31:59<19:43:18, 1.31s/step] Training: 22%|██▏ | 15664/70000 [5:32:00<19:14:20, 1.27s/step] Training: 22%|██▏ | 15665/70000 [5:32:01<18:54:23, 1.25s/step] Training: 22%|██▏ | 15666/70000 [5:32:02<19:13:50, 1.27s/step] Training: 22%|██▏ | 15667/70000 [5:32:03<18:50:44, 1.25s/step] Training: 22%|██▏ | 15668/70000 [5:32:05<18:39:04, 1.24s/step] Training: 22%|██▏ | 15669/70000 [5:32:06<18:29:43, 1.23s/step] Training: 22%|██▏ | 15670/70000 [5:32:07<18:31:48, 1.23s/step] Training: 22%|██▏ | 15671/70000 [5:32:08<18:44:21, 1.24s/step] Training: 22%|██▏ | 15672/70000 [5:32:10<19:09:21, 1.27s/step] Training: 22%|██▏ | 15673/70000 [5:32:11<18:47:54, 1.25s/step] Training: 22%|██▏ | 15674/70000 [5:32:12<18:44:11, 1.24s/step] Training: 22%|██▏ | 15675/70000 [5:32:13<18:30:15, 1.23s/step] Training: 22%|██▏ | 15676/70000 [5:32:15<18:40:15, 1.24s/step] Training: 22%|██▏ | 15677/70000 [5:32:16<18:37:43, 1.23s/step] Training: 22%|██▏ | 15678/70000 [5:32:17<19:02:41, 1.26s/step] Training: 22%|██▏ | 15679/70000 [5:32:18<18:45:48, 1.24s/step] Training: 22%|██▏ | 15680/70000 [5:32:20<19:11:07, 1.27s/step] Training: 22%|██▏ | 15681/70000 [5:32:21<18:50:04, 1.25s/step] Training: 22%|██▏ | 15682/70000 [5:32:22<18:39:41, 1.24s/step] Training: 22%|██▏ | 15683/70000 [5:32:23<18:26:54, 1.22s/step] Training: 22%|██▏ | 15684/70000 [5:32:25<18:44:04, 1.24s/step] Training: 22%|██▏ | 15685/70000 [5:32:26<18:42:52, 1.24s/step] Training: 22%|██▏ | 15686/70000 [5:32:27<19:11:44, 1.27s/step] Training: 22%|██▏ | 15687/70000 [5:32:28<19:30:05, 1.29s/step] Training: 22%|██▏ | 15688/70000 [5:32:30<19:40:43, 1.30s/step] Training: 22%|██▏ | 15689/70000 [5:32:31<19:10:08, 1.27s/step] Training: 22%|██▏ | 15690/70000 [5:32:32<19:24:02, 1.29s/step] Training: 22%|██▏ | 15691/70000 [5:32:34<18:57:58, 1.26s/step] Training: 22%|██▏ | 15692/70000 [5:32:35<19:18:55, 1.28s/step] Training: 22%|██▏ | 15693/70000 [5:32:36<19:35:12, 1.30s/step] Training: 22%|██▏ | 15694/70000 [5:32:37<19:29:02, 1.29s/step] Training: 22%|██▏ | 15695/70000 [5:32:39<19:36:40, 1.30s/step] Training: 22%|██▏ | 15696/70000 [5:32:40<19:13:17, 1.27s/step] Training: 22%|██▏ | 15697/70000 [5:32:41<18:50:37, 1.25s/step] Training: 22%|██▏ | 15698/70000 [5:32:43<19:12:46, 1.27s/step] Training: 22%|██▏ | 15699/70000 [5:32:44<18:51:39, 1.25s/step] Training: 22%|██▏ | 15700/70000 [5:32:45<18:41:47, 1.24s/step]INFO 2026-03-13 01:42:37 ot_train.py:435 step:16K smpl:1M ep:3K epch:13.31 loss:0.099 grdn:9.671 lr:2.2e-05 updt_s:1.249 data_s:0.019 Training: 22%|██▏ | 15701/70000 [5:32:46<18:52:16, 1.25s/step] Training: 22%|██▏ | 15702/70000 [5:32:47<18:40:41, 1.24s/step] Training: 22%|██▏ | 15703/70000 [5:32:49<18:57:03, 1.26s/step] Training: 22%|██▏ | 15704/70000 [5:32:50<19:17:41, 1.28s/step] Training: 22%|██▏ | 15705/70000 [5:32:51<18:53:54, 1.25s/step] Training: 22%|██▏ | 15706/70000 [5:32:52<18:47:29, 1.25s/step] Training: 22%|██▏ | 15707/70000 [5:32:54<18:31:26, 1.23s/step] Training: 22%|██▏ | 15708/70000 [5:32:55<18:34:03, 1.23s/step] Training: 22%|██▏ | 15709/70000 [5:32:56<18:30:05, 1.23s/step] Training: 22%|██▏ | 15710/70000 [5:32:58<19:28:13, 1.29s/step] Training: 22%|██▏ | 15711/70000 [5:32:59<19:06:42, 1.27s/step] Training: 22%|██▏ | 15712/70000 [5:33:00<19:25:09, 1.29s/step] Training: 22%|██▏ | 15713/70000 [5:33:01<18:58:52, 1.26s/step] Training: 22%|██▏ | 15714/70000 [5:33:03<18:43:16, 1.24s/step] Training: 22%|██▏ | 15715/70000 [5:33:04<18:30:35, 1.23s/step] Training: 22%|██▏ | 15716/70000 [5:33:05<18:19:55, 1.22s/step] Training: 22%|██▏ | 15717/70000 [5:33:06<19:28:55, 1.29s/step] Training: 22%|██▏ | 15718/70000 [5:33:08<19:39:01, 1.30s/step] Training: 22%|██▏ | 15719/70000 [5:33:09<19:48:57, 1.31s/step] Training: 22%|██▏ | 15720/70000 [5:33:10<19:55:20, 1.32s/step] Training: 22%|██▏ | 15721/70000 [5:33:12<19:20:00, 1.28s/step] Training: 22%|██▏ | 15722/70000 [5:33:13<19:31:26, 1.29s/step] Training: 22%|██▏ | 15723/70000 [5:33:14<19:02:45, 1.26s/step] Training: 22%|██▏ | 15724/70000 [5:33:15<19:21:03, 1.28s/step] Training: 22%|██▏ | 15725/70000 [5:33:17<19:32:26, 1.30s/step] Training: 22%|██▏ | 15726/70000 [5:33:18<19:42:52, 1.31s/step] Training: 22%|██▏ | 15727/70000 [5:33:19<19:44:09, 1.31s/step] Training: 22%|██▏ | 15728/70000 [5:33:21<19:15:48, 1.28s/step] Training: 22%|██▏ | 15729/70000 [5:33:22<18:52:38, 1.25s/step] Training: 22%|██▏ | 15730/70000 [5:33:23<19:12:58, 1.27s/step] Training: 22%|██▏ | 15731/70000 [5:33:24<18:49:43, 1.25s/step] Training: 22%|██▏ | 15732/70000 [5:33:26<19:13:16, 1.28s/step] Training: 22%|██▏ | 15733/70000 [5:33:27<19:01:59, 1.26s/step] Training: 22%|██▏ | 15734/70000 [5:33:28<19:24:14, 1.29s/step] Training: 22%|██▏ | 15735/70000 [5:33:29<19:14:46, 1.28s/step] Training: 22%|██▏ | 15736/70000 [5:33:31<19:33:14, 1.30s/step] Training: 22%|██▏ | 15737/70000 [5:33:32<19:04:07, 1.27s/step] Training: 22%|██▏ | 15738/70000 [5:33:33<18:56:48, 1.26s/step] Training: 22%|██▏ | 15739/70000 [5:33:34<18:38:37, 1.24s/step] Training: 22%|██▏ | 15740/70000 [5:33:36<18:36:49, 1.23s/step] Training: 22%|██▏ | 15741/70000 [5:33:37<18:30:32, 1.23s/step] Training: 22%|██▏ | 15742/70000 [5:33:38<18:59:56, 1.26s/step] Training: 22%|██▏ | 15743/70000 [5:33:39<18:51:18, 1.25s/step] Training: 22%|██▏ | 15744/70000 [5:33:41<19:12:40, 1.27s/step] Training: 22%|██▏ | 15745/70000 [5:33:42<18:50:04, 1.25s/step] Training: 22%|██▏ | 15746/70000 [5:33:43<18:40:25, 1.24s/step] Training: 22%|██▏ | 15747/70000 [5:33:44<18:28:17, 1.23s/step] Training: 22%|██▏ | 15748/70000 [5:33:46<18:17:34, 1.21s/step] Training: 22%|██▏ | 15749/70000 [5:33:47<19:25:55, 1.29s/step] Training: 22%|██▎ | 15750/70000 [5:33:48<19:51:00, 1.32s/step] Training: 23%|██▎ | 15751/70000 [5:33:50<19:17:41, 1.28s/step] Training: 23%|██▎ | 15752/70000 [5:33:51<20:07:44, 1.34s/step] Training: 23%|██▎ | 15753/70000 [5:33:52<19:29:29, 1.29s/step] Training: 23%|██▎ | 15754/70000 [5:33:54<19:39:35, 1.30s/step] Training: 23%|██▎ | 15755/70000 [5:33:55<19:09:47, 1.27s/step] Training: 23%|██▎ | 15756/70000 [5:33:56<19:25:20, 1.29s/step] Training: 23%|██▎ | 15757/70000 [5:33:57<19:34:52, 1.30s/step] Training: 23%|██▎ | 15758/70000 [5:33:59<19:40:37, 1.31s/step] Training: 23%|██▎ | 15759/70000 [5:34:00<19:45:21, 1.31s/step] Training: 23%|██▎ | 15760/70000 [5:34:01<19:17:00, 1.28s/step] Training: 23%|██▎ | 15761/70000 [5:34:02<18:56:28, 1.26s/step] Training: 23%|██▎ | 15762/70000 [5:34:04<19:12:03, 1.27s/step] Training: 23%|██▎ | 15763/70000 [5:34:05<18:50:40, 1.25s/step] Training: 23%|██▎ | 15764/70000 [5:34:06<18:39:34, 1.24s/step] Training: 23%|██▎ | 15765/70000 [5:34:07<18:36:40, 1.24s/step] Training: 23%|██▎ | 15766/70000 [5:34:09<18:30:04, 1.23s/step] Training: 23%|██▎ | 15767/70000 [5:34:10<19:28:20, 1.29s/step] Training: 23%|██▎ | 15768/70000 [5:34:11<19:38:30, 1.30s/step] Training: 23%|██▎ | 15769/70000 [5:34:13<19:10:31, 1.27s/step] Training: 23%|██▎ | 15770/70000 [5:34:14<18:57:04, 1.26s/step] Training: 23%|██▎ | 15771/70000 [5:34:15<18:41:49, 1.24s/step] Training: 23%|██▎ | 15772/70000 [5:34:16<18:37:18, 1.24s/step] Training: 23%|██▎ | 15773/70000 [5:34:17<18:32:40, 1.23s/step] Training: 23%|██▎ | 15774/70000 [5:34:19<19:00:26, 1.26s/step] Training: 23%|██▎ | 15775/70000 [5:34:20<19:15:25, 1.28s/step] Training: 23%|██▎ | 15776/70000 [5:34:21<19:31:15, 1.30s/step] Training: 23%|██▎ | 15777/70000 [5:34:23<19:02:26, 1.26s/step] Training: 23%|██▎ | 15778/70000 [5:34:24<18:47:05, 1.25s/step] Training: 23%|██▎ | 15779/70000 [5:34:25<18:35:25, 1.23s/step] Training: 23%|██▎ | 15780/70000 [5:34:26<18:20:39, 1.22s/step] Training: 23%|██▎ | 15781/70000 [5:34:28<19:32:10, 1.30s/step] Training: 23%|██▎ | 15782/70000 [5:34:29<19:58:44, 1.33s/step] Training: 23%|██▎ | 15783/70000 [5:34:30<20:04:44, 1.33s/step] Training: 23%|██▎ | 15784/70000 [5:34:32<19:58:14, 1.33s/step] Training: 23%|██▎ | 15785/70000 [5:34:33<19:22:12, 1.29s/step] Training: 23%|██▎ | 15786/70000 [5:34:34<19:34:56, 1.30s/step] Training: 23%|██▎ | 15787/70000 [5:34:36<19:05:18, 1.27s/step] Training: 23%|██▎ | 15788/70000 [5:34:37<18:46:29, 1.25s/step] Training: 23%|██▎ | 15789/70000 [5:34:38<19:13:43, 1.28s/step] Training: 23%|██▎ | 15790/70000 [5:34:39<19:09:55, 1.27s/step] Training: 23%|██▎ | 15791/70000 [5:34:41<19:31:22, 1.30s/step] Training: 23%|██▎ | 15792/70000 [5:34:42<19:07:05, 1.27s/step] Training: 23%|██▎ | 15793/70000 [5:34:43<18:49:15, 1.25s/step] Training: 23%|██▎ | 15794/70000 [5:34:44<19:10:51, 1.27s/step] Training: 23%|██▎ | 15795/70000 [5:34:46<18:47:53, 1.25s/step] Training: 23%|██▎ | 15796/70000 [5:34:47<18:37:47, 1.24s/step] Training: 23%|██▎ | 15797/70000 [5:34:48<18:38:50, 1.24s/step] Training: 23%|██▎ | 15798/70000 [5:34:49<19:11:00, 1.27s/step] Training: 23%|██▎ | 15799/70000 [5:34:51<18:55:37, 1.26s/step] Training: 23%|██▎ | 15800/70000 [5:34:52<19:50:32, 1.32s/step]INFO 2026-03-13 01:44:44 ot_train.py:435 step:16K smpl:1M ep:3K epch:13.39 loss:0.103 grdn:11.189 lr:2.2e-05 updt_s:1.250 data_s:0.018 Training: 23%|██▎ | 15801/70000 [5:34:53<19:14:39, 1.28s/step] Training: 23%|██▎ | 15802/70000 [5:34:55<19:01:24, 1.26s/step] Training: 23%|██▎ | 15803/70000 [5:34:56<18:42:39, 1.24s/step] Training: 23%|██▎ | 15804/70000 [5:34:57<18:40:11, 1.24s/step] Training: 23%|██▎ | 15805/70000 [5:34:58<18:36:12, 1.24s/step] Training: 23%|██▎ | 15806/70000 [5:34:59<19:04:58, 1.27s/step] Training: 23%|██▎ | 15807/70000 [5:35:01<18:52:50, 1.25s/step] Training: 23%|██▎ | 15808/70000 [5:35:02<19:49:34, 1.32s/step] Training: 23%|██▎ | 15809/70000 [5:35:03<19:15:41, 1.28s/step] Training: 23%|██▎ | 15810/70000 [5:35:05<18:56:15, 1.26s/step] Training: 23%|██▎ | 15811/70000 [5:35:06<18:37:58, 1.24s/step] Training: 23%|██▎ | 15812/70000 [5:35:07<18:24:25, 1.22s/step] Training: 23%|██▎ | 15813/70000 [5:35:08<19:34:14, 1.30s/step] Training: 23%|██▎ | 15814/70000 [5:35:10<19:56:26, 1.32s/step] Training: 23%|██▎ | 15815/70000 [5:35:11<19:20:23, 1.28s/step] Training: 23%|██▎ | 15816/70000 [5:35:12<20:07:32, 1.34s/step] Training: 23%|██▎ | 15817/70000 [5:35:14<19:28:07, 1.29s/step] Training: 23%|██▎ | 15818/70000 [5:35:15<19:40:41, 1.31s/step] Training: 23%|██▎ | 15819/70000 [5:35:16<19:09:20, 1.27s/step] Training: 23%|██▎ | 15820/70000 [5:35:18<19:23:11, 1.29s/step] Training: 23%|██▎ | 15821/70000 [5:35:19<19:37:34, 1.30s/step] Training: 23%|██▎ | 15822/70000 [5:35:20<19:20:56, 1.29s/step] Training: 23%|██▎ | 15823/70000 [5:35:21<19:31:56, 1.30s/step] Training: 23%|██▎ | 15824/70000 [5:35:23<19:46:43, 1.31s/step] Training: 23%|██▎ | 15825/70000 [5:35:24<19:11:07, 1.27s/step] Training: 23%|██▎ | 15826/70000 [5:35:25<19:32:11, 1.30s/step] Training: 23%|██▎ | 15827/70000 [5:35:27<19:03:41, 1.27s/step] Training: 23%|██▎ | 15828/70000 [5:35:28<19:20:20, 1.29s/step] Training: 23%|██▎ | 15829/70000 [5:35:29<19:04:57, 1.27s/step] Training: 23%|██▎ | 15830/70000 [5:35:30<19:28:24, 1.29s/step] Training: 23%|██▎ | 15831/70000 [5:35:32<19:06:14, 1.27s/step] Training: 23%|██▎ | 15832/70000 [5:35:33<19:23:52, 1.29s/step] Training: 23%|██▎ | 15833/70000 [5:35:34<18:57:50, 1.26s/step] Training: 23%|██▎ | 15834/70000 [5:35:35<18:47:54, 1.25s/step] Training: 23%|██▎ | 15835/70000 [5:35:37<18:31:33, 1.23s/step] Training: 23%|██▎ | 15836/70000 [5:35:38<18:34:07, 1.23s/step] Training: 23%|██▎ | 15837/70000 [5:35:39<18:34:21, 1.23s/step] Training: 23%|██▎ | 15838/70000 [5:35:40<18:59:32, 1.26s/step] Training: 23%|██▎ | 15839/70000 [5:35:42<18:49:07, 1.25s/step] Training: 23%|██▎ | 15840/70000 [5:35:43<19:09:48, 1.27s/step] Training: 23%|██▎ | 15841/70000 [5:35:44<19:30:53, 1.30s/step] Training: 23%|██▎ | 15842/70000 [5:35:45<19:03:08, 1.27s/step] Training: 23%|██▎ | 15843/70000 [5:35:47<18:43:02, 1.24s/step] Training: 23%|██▎ | 15844/70000 [5:35:48<18:28:50, 1.23s/step] Training: 23%|██▎ | 15845/70000 [5:35:49<18:54:36, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=55486 Training: 23%|██▎ | 15846/70000 [5:35:51<19:51:15, 1.32s/step] Training: 23%|██▎ | 15847/70000 [5:35:52<19:15:40, 1.28s/step] Training: 23%|██▎ | 15848/70000 [5:35:53<19:54:25, 1.32s/step] Training: 23%|██▎ | 15849/70000 [5:35:55<19:53:46, 1.32s/step] Training: 23%|██▎ | 15850/70000 [5:35:56<19:53:40, 1.32s/step] Training: 23%|██▎ | 15851/70000 [5:35:57<19:18:09, 1.28s/step] Training: 23%|██▎ | 15852/70000 [5:35:58<18:53:20, 1.26s/step] Training: 23%|██▎ | 15853/70000 [5:36:00<19:13:29, 1.28s/step] Training: 23%|██▎ | 15854/70000 [5:36:01<18:58:01, 1.26s/step] Training: 23%|██▎ | 15855/70000 [5:36:02<18:39:06, 1.24s/step] Training: 23%|██▎ | 15856/70000 [5:36:03<18:30:44, 1.23s/step] Training: 23%|██▎ | 15857/70000 [5:36:05<19:05:08, 1.27s/step] Training: 23%|██▎ | 15858/70000 [5:36:06<19:19:26, 1.28s/step] Training: 23%|██▎ | 15859/70000 [5:36:07<18:53:56, 1.26s/step] Training: 23%|██▎ | 15860/70000 [5:36:08<18:47:47, 1.25s/step] Training: 23%|██▎ | 15861/70000 [5:36:10<18:35:10, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=55486 Training: 23%|██▎ | 15862/70000 [5:36:11<19:01:36, 1.27s/step] Training: 23%|██▎ | 15863/70000 [5:36:12<18:40:31, 1.24s/step] Training: 23%|██▎ | 15864/70000 [5:36:13<19:04:02, 1.27s/step] Training: 23%|██▎ | 15865/70000 [5:36:15<18:42:59, 1.24s/step] Training: 23%|██▎ | 15866/70000 [5:36:16<19:10:26, 1.28s/step] Training: 23%|██▎ | 15867/70000 [5:36:17<18:44:26, 1.25s/step] Training: 23%|██▎ | 15868/70000 [5:36:18<18:35:18, 1.24s/step] Training: 23%|██▎ | 15869/70000 [5:36:20<18:34:23, 1.24s/step] Training: 23%|██▎ | 15870/70000 [5:36:21<19:01:44, 1.27s/step] Training: 23%|██▎ | 15871/70000 [5:36:22<18:50:45, 1.25s/step] Training: 23%|██▎ | 15872/70000 [5:36:23<19:10:34, 1.28s/step] Training: 23%|██▎ | 15873/70000 [5:36:25<18:47:35, 1.25s/step] Training: 23%|██▎ | 15874/70000 [5:36:26<19:13:05, 1.28s/step] Training: 23%|██▎ | 15875/70000 [5:36:27<18:46:29, 1.25s/step] Training: 23%|██▎ | 15876/70000 [5:36:28<19:07:13, 1.27s/step] Training: 23%|██▎ | 15877/70000 [5:36:30<18:46:23, 1.25s/step] Training: 23%|██▎ | 15878/70000 [5:36:31<19:41:06, 1.31s/step] Training: 23%|██▎ | 15879/70000 [5:36:32<19:12:59, 1.28s/step] Training: 23%|██▎ | 15880/70000 [5:36:34<19:32:29, 1.30s/step] Training: 23%|██▎ | 15881/70000 [5:36:35<19:03:29, 1.27s/step] Training: 23%|██▎ | 15882/70000 [5:36:36<19:27:16, 1.29s/step] Training: 23%|██▎ | 15883/70000 [5:36:37<18:58:44, 1.26s/step] Training: 23%|██▎ | 15884/70000 [5:36:39<19:16:22, 1.28s/step] Training: 23%|██▎ | 15885/70000 [5:36:40<18:51:12, 1.25s/step] Training: 23%|██▎ | 15886/70000 [5:36:41<19:07:29, 1.27s/step] Training: 23%|██▎ | 15887/70000 [5:36:43<19:20:00, 1.29s/step] Training: 23%|██▎ | 15888/70000 [5:36:44<18:58:34, 1.26s/step] Training: 23%|██▎ | 15889/70000 [5:36:45<18:38:12, 1.24s/step] Training: 23%|██▎ | 15890/70000 [5:36:46<19:19:24, 1.29s/step] Training: 23%|██▎ | 15891/70000 [5:36:48<18:53:11, 1.26s/step] Training: 23%|██▎ | 15892/70000 [5:36:49<18:46:23, 1.25s/step] Training: 23%|██▎ | 15893/70000 [5:36:50<18:29:00, 1.23s/step] Training: 23%|██▎ | 15894/70000 [5:36:51<19:25:39, 1.29s/step] Training: 23%|██▎ | 15895/70000 [5:36:53<19:34:29, 1.30s/step] Training: 23%|██▎ | 15896/70000 [5:36:54<19:41:00, 1.31s/step] Training: 23%|██▎ | 15897/70000 [5:36:55<19:09:41, 1.27s/step] Training: 23%|██▎ | 15898/70000 [5:36:57<19:23:20, 1.29s/step] Training: 23%|██▎ | 15899/70000 [5:36:58<18:52:57, 1.26s/step] Training: 23%|██▎ | 15900/70000 [5:36:59<18:45:59, 1.25s/step]INFO 2026-03-13 01:46:51 ot_train.py:435 step:16K smpl:1M ep:3K epch:13.48 loss:0.104 grdn:10.434 lr:2.2e-05 updt_s:1.248 data_s:0.019 Training: 23%|██▎ | 15901/70000 [5:37:00<18:30:45, 1.23s/step] Training: 23%|██▎ | 15902/70000 [5:37:02<18:55:41, 1.26s/step] Training: 23%|██▎ | 15903/70000 [5:37:03<18:46:55, 1.25s/step] Training: 23%|██▎ | 15904/70000 [5:37:04<19:07:51, 1.27s/step] Training: 23%|██▎ | 15905/70000 [5:37:05<18:46:27, 1.25s/step] Training: 23%|██▎ | 15906/70000 [5:37:06<18:40:55, 1.24s/step] Training: 23%|██▎ | 15907/70000 [5:37:08<19:10:30, 1.28s/step] Training: 23%|██▎ | 15908/70000 [5:37:09<18:44:03, 1.25s/step] Training: 23%|██▎ | 15909/70000 [5:37:10<19:01:46, 1.27s/step] Training: 23%|██▎ | 15910/70000 [5:37:12<18:54:19, 1.26s/step] Training: 23%|██▎ | 15911/70000 [5:37:13<18:41:28, 1.24s/step] Training: 23%|██▎ | 15912/70000 [5:37:14<19:03:53, 1.27s/step] Training: 23%|██▎ | 15913/70000 [5:37:15<18:42:32, 1.25s/step] Training: 23%|██▎ | 15914/70000 [5:37:17<19:09:48, 1.28s/step] Training: 23%|██▎ | 15915/70000 [5:37:18<19:07:11, 1.27s/step] Training: 23%|██▎ | 15916/70000 [5:37:19<19:19:36, 1.29s/step] Training: 23%|██▎ | 15917/70000 [5:37:20<18:55:22, 1.26s/step] Training: 23%|██▎ | 15918/70000 [5:37:22<18:57:18, 1.26s/step] Training: 23%|██▎ | 15919/70000 [5:37:23<19:14:56, 1.28s/step] Training: 23%|██▎ | 15920/70000 [5:37:24<18:55:56, 1.26s/step] Training: 23%|██▎ | 15921/70000 [5:37:25<18:37:26, 1.24s/step] Training: 23%|██▎ | 15922/70000 [5:37:27<19:02:13, 1.27s/step] Training: 23%|██▎ | 15923/70000 [5:37:28<18:40:45, 1.24s/step] Training: 23%|██▎ | 15924/70000 [5:37:29<19:06:31, 1.27s/step] Training: 23%|██▎ | 15925/70000 [5:37:30<18:42:00, 1.24s/step] Training: 23%|██▎ | 15926/70000 [5:37:32<19:04:30, 1.27s/step] Training: 23%|██▎ | 15927/70000 [5:37:33<19:19:44, 1.29s/step] Training: 23%|██▎ | 15928/70000 [5:37:34<19:29:47, 1.30s/step] Training: 23%|██▎ | 15929/70000 [5:37:36<19:00:08, 1.27s/step] Training: 23%|██▎ | 15930/70000 [5:37:37<18:49:29, 1.25s/step] Training: 23%|██▎ | 15931/70000 [5:37:38<19:17:15, 1.28s/step] Training: 23%|██▎ | 15932/70000 [5:37:39<18:59:41, 1.26s/step] Training: 23%|██▎ | 15933/70000 [5:37:41<18:39:56, 1.24s/step] Training: 23%|██▎ | 15934/70000 [5:37:42<19:05:42, 1.27s/step] Training: 23%|██▎ | 15935/70000 [5:37:43<19:19:09, 1.29s/step] Training: 23%|██▎ | 15936/70000 [5:37:45<19:31:42, 1.30s/step] Training: 23%|██▎ | 15937/70000 [5:37:46<19:02:35, 1.27s/step] Training: 23%|██▎ | 15938/70000 [5:37:47<18:52:28, 1.26s/step] Training: 23%|██▎ | 15939/70000 [5:37:48<18:34:06, 1.24s/step] Training: 23%|██▎ | 15940/70000 [5:37:50<19:05:26, 1.27s/step] Training: 23%|██▎ | 15941/70000 [5:37:51<19:03:50, 1.27s/step] Training: 23%|██▎ | 15942/70000 [5:37:52<19:27:35, 1.30s/step] Training: 23%|██▎ | 15943/70000 [5:37:53<19:04:16, 1.27s/step] Training: 23%|██▎ | 15944/70000 [5:37:55<19:20:08, 1.29s/step] Training: 23%|██▎ | 15945/70000 [5:37:56<18:54:39, 1.26s/step] Training: 23%|██▎ | 15946/70000 [5:37:57<19:16:14, 1.28s/step] Training: 23%|██▎ | 15947/70000 [5:37:58<18:51:09, 1.26s/step] Training: 23%|██▎ | 15948/70000 [5:38:00<19:16:14, 1.28s/step] Training: 23%|██▎ | 15949/70000 [5:38:01<18:48:30, 1.25s/step] Training: 23%|██▎ | 15950/70000 [5:38:02<18:50:45, 1.26s/step] Training: 23%|██▎ | 15951/70000 [5:38:04<19:12:03, 1.28s/step] Training: 23%|██▎ | 15952/70000 [5:38:05<18:54:20, 1.26s/step] Training: 23%|██▎ | 15953/70000 [5:38:06<18:35:55, 1.24s/step] Training: 23%|██▎ | 15954/70000 [5:38:07<19:04:01, 1.27s/step] Training: 23%|██▎ | 15955/70000 [5:38:09<18:41:49, 1.25s/step] Training: 23%|██▎ | 15956/70000 [5:38:10<18:38:58, 1.24s/step] Training: 23%|██▎ | 15957/70000 [5:38:11<18:24:12, 1.23s/step] Training: 23%|██▎ | 15958/70000 [5:38:12<18:51:48, 1.26s/step] Training: 23%|██▎ | 15959/70000 [5:38:14<19:11:52, 1.28s/step] Training: 23%|██▎ | 15960/70000 [5:38:15<19:25:51, 1.29s/step] Training: 23%|██▎ | 15961/70000 [5:38:16<18:58:56, 1.26s/step] Training: 23%|██▎ | 15962/70000 [5:38:17<18:52:30, 1.26s/step] Training: 23%|██▎ | 15963/70000 [5:38:19<18:34:59, 1.24s/step] Training: 23%|██▎ | 15964/70000 [5:38:20<18:46:23, 1.25s/step] Training: 23%|██▎ | 15965/70000 [5:38:21<18:31:57, 1.23s/step] Training: 23%|██▎ | 15966/70000 [5:38:22<18:57:04, 1.26s/step] Training: 23%|██▎ | 15967/70000 [5:38:24<19:14:02, 1.28s/step] Training: 23%|██▎ | 15968/70000 [5:38:25<19:26:46, 1.30s/step] Training: 23%|██▎ | 15969/70000 [5:38:26<18:58:46, 1.26s/step] Training: 23%|██▎ | 15970/70000 [5:38:27<18:43:31, 1.25s/step] Training: 23%|██▎ | 15971/70000 [5:38:29<18:29:03, 1.23s/step] Training: 23%|██▎ | 15972/70000 [5:38:30<18:56:39, 1.26s/step] Training: 23%|██▎ | 15973/70000 [5:38:31<18:38:05, 1.24s/step] Training: 23%|██▎ | 15974/70000 [5:38:33<19:10:42, 1.28s/step] Training: 23%|██▎ | 15975/70000 [5:38:34<18:54:15, 1.26s/step] Training: 23%|██▎ | 15976/70000 [5:38:35<19:14:46, 1.28s/step] Training: 23%|██▎ | 15977/70000 [5:38:36<18:49:24, 1.25s/step] Training: 23%|██▎ | 15978/70000 [5:38:37<18:31:51, 1.23s/step] Training: 23%|██▎ | 15979/70000 [5:38:39<18:55:15, 1.26s/step] Training: 23%|██▎ | 15980/70000 [5:38:40<19:15:55, 1.28s/step] Training: 23%|██▎ | 15981/70000 [5:38:41<19:32:11, 1.30s/step] Training: 23%|██▎ | 15982/70000 [5:38:43<20:07:09, 1.34s/step] Training: 23%|██▎ | 15983/70000 [5:38:44<20:08:28, 1.34s/step] Training: 23%|██▎ | 15984/70000 [5:38:45<19:33:31, 1.30s/step] Training: 23%|██▎ | 15985/70000 [5:38:47<19:03:36, 1.27s/step] Training: 23%|██▎ | 15986/70000 [5:38:48<18:42:25, 1.25s/step] Training: 23%|██▎ | 15987/70000 [5:38:49<18:40:42, 1.24s/step] Training: 23%|██▎ | 15988/70000 [5:38:50<18:37:47, 1.24s/step] Training: 23%|██▎ | 15989/70000 [5:38:52<18:43:28, 1.25s/step] Training: 23%|██▎ | 15990/70000 [5:38:53<18:34:30, 1.24s/step] Training: 23%|██▎ | 15991/70000 [5:38:54<19:23:11, 1.29s/step] Training: 23%|██▎ | 15992/70000 [5:38:56<19:31:14, 1.30s/step] Training: 23%|██▎ | 15993/70000 [5:38:57<19:01:09, 1.27s/step] Training: 23%|██▎ | 15994/70000 [5:38:58<18:38:41, 1.24s/step] Training: 23%|██▎ | 15995/70000 [5:38:59<18:27:36, 1.23s/step] Training: 23%|██▎ | 15996/70000 [5:39:00<18:20:55, 1.22s/step] Training: 23%|██▎ | 15997/70000 [5:39:01<18:12:44, 1.21s/step] Training: 23%|██▎ | 15998/70000 [5:39:03<19:08:27, 1.28s/step] Training: 23%|██▎ | 15999/70000 [5:39:04<19:25:26, 1.29s/step] Training: 23%|██▎ | 16000/70000 [5:39:06<19:37:56, 1.31s/step]INFO 2026-03-13 01:48:58 ot_train.py:435 step:16K smpl:1M ep:3K epch:13.56 loss:0.113 grdn:11.606 lr:2.2e-05 updt_s:1.245 data_s:0.019 Training: 23%|██▎ | 16001/70000 [5:39:07<19:07:07, 1.27s/step] Training: 23%|██▎ | 16002/70000 [5:39:08<18:42:55, 1.25s/step] Training: 23%|██▎ | 16003/70000 [5:39:09<19:07:08, 1.27s/step] Training: 23%|██▎ | 16004/70000 [5:39:11<19:21:32, 1.29s/step] Training: 23%|██▎ | 16005/70000 [5:39:12<19:40:07, 1.31s/step] Training: 23%|██▎ | 16006/70000 [5:39:13<19:53:07, 1.33s/step] Training: 23%|██▎ | 16007/70000 [5:39:15<19:18:59, 1.29s/step] Training: 23%|██▎ | 16008/70000 [5:39:16<19:28:42, 1.30s/step] Training: 23%|██▎ | 16009/70000 [5:39:17<18:59:41, 1.27s/step] Training: 23%|██▎ | 16010/70000 [5:39:18<18:39:16, 1.24s/step] Training: 23%|██▎ | 16011/70000 [5:39:20<18:59:21, 1.27s/step] Training: 23%|██▎ | 16012/70000 [5:39:21<19:14:36, 1.28s/step] Training: 23%|██▎ | 16013/70000 [5:39:22<18:51:26, 1.26s/step] Training: 23%|██▎ | 16014/70000 [5:39:23<19:18:09, 1.29s/step] Training: 23%|██▎ | 16015/70000 [5:39:25<19:27:28, 1.30s/step] Training: 23%|██▎ | 16016/70000 [5:39:26<19:03:11, 1.27s/step] Training: 23%|██▎ | 16017/70000 [5:39:27<18:41:26, 1.25s/step] Training: 23%|██▎ | 16018/70000 [5:39:28<18:25:59, 1.23s/step] Training: 23%|██▎ | 16019/70000 [5:39:30<18:51:02, 1.26s/step] Training: 23%|██▎ | 16020/70000 [5:39:31<18:50:12, 1.26s/step] Training: 23%|██▎ | 16021/70000 [5:39:32<18:33:10, 1.24s/step] Training: 23%|██▎ | 16022/70000 [5:39:34<19:18:34, 1.29s/step] Training: 23%|██▎ | 16023/70000 [5:39:35<19:31:30, 1.30s/step] Training: 23%|██▎ | 16024/70000 [5:39:36<19:39:34, 1.31s/step] Training: 23%|██▎ | 16025/70000 [5:39:37<19:08:21, 1.28s/step] Training: 23%|██▎ | 16026/70000 [5:39:39<18:43:42, 1.25s/step] Training: 23%|██▎ | 16027/70000 [5:39:40<18:31:22, 1.24s/step] Training: 23%|██▎ | 16028/70000 [5:39:41<18:24:16, 1.23s/step] Training: 23%|██▎ | 16029/70000 [5:39:42<18:15:33, 1.22s/step] Training: 23%|██▎ | 16030/70000 [5:39:44<18:46:09, 1.25s/step] Training: 23%|██▎ | 16031/70000 [5:39:45<19:07:33, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=67389 Training: 23%|██▎ | 16032/70000 [5:39:46<19:22:16, 1.29s/step] Training: 23%|██▎ | 16033/70000 [5:39:47<18:55:30, 1.26s/step] Training: 23%|██▎ | 16034/70000 [5:39:49<18:36:11, 1.24s/step] Training: 23%|██▎ | 16035/70000 [5:39:50<18:58:19, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=67389 Training: 23%|██▎ | 16036/70000 [5:39:51<19:15:14, 1.28s/step] Training: 23%|██▎ | 16037/70000 [5:39:52<18:50:03, 1.26s/step] Training: 23%|██▎ | 16038/70000 [5:39:54<19:25:54, 1.30s/step] Training: 23%|██▎ | 16039/70000 [5:39:55<19:09:23, 1.28s/step] Training: 23%|██▎ | 16040/70000 [5:39:56<19:24:03, 1.29s/step] Training: 23%|██▎ | 16041/70000 [5:39:58<18:56:40, 1.26s/step] Training: 23%|██▎ | 16042/70000 [5:39:59<18:37:47, 1.24s/step] Training: 23%|██▎ | 16043/70000 [5:40:00<18:57:18, 1.26s/step] Training: 23%|██▎ | 16044/70000 [5:40:01<19:16:45, 1.29s/step] Training: 23%|██▎ | 16045/70000 [5:40:03<18:53:13, 1.26s/step] Training: 23%|██▎ | 16046/70000 [5:40:04<18:53:16, 1.26s/step] Training: 23%|██▎ | 16047/70000 [5:40:05<19:09:45, 1.28s/step] Training: 23%|██▎ | 16048/70000 [5:40:06<18:53:01, 1.26s/step] Training: 23%|██▎ | 16049/70000 [5:40:08<18:35:57, 1.24s/step] Training: 23%|██▎ | 16050/70000 [5:40:09<18:22:26, 1.23s/step] Training: 23%|██▎ | 16051/70000 [5:40:10<18:50:56, 1.26s/step] Training: 23%|██▎ | 16052/70000 [5:40:11<18:42:58, 1.25s/step] Training: 23%|██▎ | 16053/70000 [5:40:13<18:26:51, 1.23s/step] Training: 23%|██▎ | 16054/70000 [5:40:14<18:52:27, 1.26s/step] Training: 23%|██▎ | 16055/70000 [5:40:15<19:40:31, 1.31s/step] Training: 23%|██▎ | 16056/70000 [5:40:17<19:44:38, 1.32s/step] Training: 23%|██▎ | 16057/70000 [5:40:18<19:10:04, 1.28s/step] Training: 23%|██▎ | 16058/70000 [5:40:19<18:45:21, 1.25s/step] Training: 23%|██▎ | 16059/70000 [5:40:20<18:33:04, 1.24s/step] Training: 23%|██▎ | 16060/70000 [5:40:21<18:30:30, 1.24s/step] Training: 23%|██▎ | 16061/70000 [5:40:23<18:18:48, 1.22s/step] Training: 23%|██▎ | 16062/70000 [5:40:24<18:45:18, 1.25s/step] Training: 23%|██▎ | 16063/70000 [5:40:25<19:29:55, 1.30s/step] Training: 23%|██▎ | 16064/70000 [5:40:27<19:35:30, 1.31s/step] Training: 23%|██▎ | 16065/70000 [5:40:28<19:03:30, 1.27s/step] Training: 23%|██▎ | 16066/70000 [5:40:29<18:40:44, 1.25s/step] Training: 23%|██▎ | 16067/70000 [5:40:30<19:01:13, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=67389 Training: 23%|██▎ | 16068/70000 [5:40:32<19:18:21, 1.29s/step] Training: 23%|██▎ | 16069/70000 [5:40:33<18:51:35, 1.26s/step] Training: 23%|██▎ | 16070/70000 [5:40:34<19:24:28, 1.30s/step] Training: 23%|██▎ | 16071/70000 [5:40:36<19:40:34, 1.31s/step] Training: 23%|██▎ | 16072/70000 [5:40:37<19:42:25, 1.32s/step] Training: 23%|██▎ | 16073/70000 [5:40:38<19:08:27, 1.28s/step] Training: 23%|██▎ | 16074/70000 [5:40:39<18:45:31, 1.25s/step] Training: 23%|██▎ | 16075/70000 [5:40:41<19:06:41, 1.28s/step] Training: 23%|██▎ | 16076/70000 [5:40:42<19:26:31, 1.30s/step] Training: 23%|██▎ | 16077/70000 [5:40:43<18:59:06, 1.27s/step] Training: 23%|██▎ | 16078/70000 [5:40:44<18:53:22, 1.26s/step] Training: 23%|██▎ | 16079/70000 [5:40:46<19:27:25, 1.30s/step] Training: 23%|██▎ | 16080/70000 [5:40:47<19:01:54, 1.27s/step] Training: 23%|██▎ | 16081/70000 [5:40:48<18:40:57, 1.25s/step] Training: 23%|██▎ | 16082/70000 [5:40:49<18:25:56, 1.23s/step] Training: 23%|██▎ | 16083/70000 [5:40:51<18:49:21, 1.26s/step] Training: 23%|██▎ | 16084/70000 [5:40:52<18:47:07, 1.25s/step] Training: 23%|██▎ | 16085/70000 [5:40:53<18:31:01, 1.24s/step] Training: 23%|██▎ | 16086/70000 [5:40:55<18:54:59, 1.26s/step] Training: 23%|██▎ | 16087/70000 [5:40:56<19:09:46, 1.28s/step] Training: 23%|██▎ | 16088/70000 [5:40:57<19:49:12, 1.32s/step] Training: 23%|██▎ | 16089/70000 [5:40:58<19:14:15, 1.28s/step] Training: 23%|██▎ | 16090/70000 [5:41:00<18:49:56, 1.26s/step] Training: 23%|██▎ | 16091/70000 [5:41:01<18:37:26, 1.24s/step] Training: 23%|██▎ | 16092/70000 [5:41:02<18:31:38, 1.24s/step] Training: 23%|██▎ | 16093/70000 [5:41:03<18:20:49, 1.23s/step] Training: 23%|██▎ | 16094/70000 [5:41:05<18:49:21, 1.26s/step] Training: 23%|██▎ | 16095/70000 [5:41:06<19:08:54, 1.28s/step] Training: 23%|██▎ | 16096/70000 [5:41:07<19:50:13, 1.32s/step] Training: 23%|██▎ | 16097/70000 [5:41:09<19:14:59, 1.29s/step] Training: 23%|██▎ | 16098/70000 [5:41:10<18:48:01, 1.26s/step] Training: 23%|██▎ | 16099/70000 [5:41:11<19:07:02, 1.28s/step] Training: 23%|██▎ | 16100/70000 [5:41:12<19:21:43, 1.29s/step]INFO 2026-03-13 01:51:05 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.65 loss:0.098 grdn:9.818 lr:2.2e-05 updt_s:1.247 data_s:0.019 Training: 23%|██▎ | 16101/70000 [5:41:14<18:55:43, 1.26s/step] Training: 23%|██▎ | 16102/70000 [5:41:15<19:28:49, 1.30s/step] Training: 23%|██▎ | 16103/70000 [5:41:16<19:03:22, 1.27s/step] Training: 23%|██▎ | 16104/70000 [5:41:18<19:53:16, 1.33s/step] Training: 23%|██▎ | 16105/70000 [5:41:19<19:18:37, 1.29s/step] Training: 23%|██▎ | 16106/70000 [5:41:20<18:50:24, 1.26s/step] Training: 23%|██▎ | 16107/70000 [5:41:21<19:09:43, 1.28s/step] Training: 23%|██▎ | 16108/70000 [5:41:23<19:22:00, 1.29s/step] Training: 23%|██▎ | 16109/70000 [5:41:24<18:54:18, 1.26s/step] Training: 23%|██▎ | 16110/70000 [5:41:25<18:59:56, 1.27s/step] Training: 23%|██▎ | 16111/70000 [5:41:27<19:15:40, 1.29s/step] Training: 23%|██▎ | 16112/70000 [5:41:28<19:35:29, 1.31s/step] Training: 23%|██▎ | 16113/70000 [5:41:29<19:00:21, 1.27s/step] Training: 23%|██▎ | 16114/70000 [5:41:30<18:40:39, 1.25s/step] Training: 23%|██▎ | 16115/70000 [5:41:32<19:04:22, 1.27s/step] Training: 23%|██▎ | 16116/70000 [5:41:33<18:52:55, 1.26s/step] Training: 23%|██▎ | 16117/70000 [5:41:34<18:33:00, 1.24s/step] Training: 23%|██▎ | 16118/70000 [5:41:35<18:58:06, 1.27s/step] Training: 23%|██▎ | 16119/70000 [5:41:37<19:12:58, 1.28s/step] Training: 23%|██▎ | 16120/70000 [5:41:38<19:26:00, 1.30s/step] Training: 23%|██▎ | 16121/70000 [5:41:39<18:56:16, 1.27s/step] Training: 23%|██▎ | 16122/70000 [5:41:40<18:36:16, 1.24s/step] Training: 23%|██▎ | 16123/70000 [5:41:42<18:28:15, 1.23s/step] Training: 23%|██▎ | 16124/70000 [5:41:43<18:22:49, 1.23s/step] Training: 23%|██▎ | 16125/70000 [5:41:44<18:12:25, 1.22s/step] Training: 23%|██▎ | 16126/70000 [5:41:45<18:48:18, 1.26s/step] Training: 23%|██▎ | 16127/70000 [5:41:47<19:11:22, 1.28s/step] Training: 23%|██▎ | 16128/70000 [5:41:48<19:24:32, 1.30s/step] Training: 23%|██▎ | 16129/70000 [5:41:49<19:38:05, 1.31s/step] Training: 23%|██▎ | 16130/70000 [5:41:51<19:02:24, 1.27s/step] Training: 23%|██▎ | 16131/70000 [5:41:52<19:18:38, 1.29s/step] Training: 23%|██▎ | 16132/70000 [5:41:53<19:28:08, 1.30s/step] Training: 23%|██▎ | 16133/70000 [5:41:54<18:58:10, 1.27s/step] Training: 23%|██▎ | 16134/70000 [5:41:56<19:26:11, 1.30s/step] Training: 23%|██▎ | 16135/70000 [5:41:57<19:02:25, 1.27s/step] Training: 23%|██▎ | 16136/70000 [5:41:58<19:19:34, 1.29s/step] Training: 23%|██▎ | 16137/70000 [5:42:00<19:26:16, 1.30s/step] Training: 23%|██▎ | 16138/70000 [5:42:01<18:54:27, 1.26s/step] Training: 23%|██▎ | 16139/70000 [5:42:02<19:09:29, 1.28s/step] Training: 23%|██▎ | 16140/70000 [5:42:03<19:22:24, 1.29s/step] Training: 23%|██▎ | 16141/70000 [5:42:05<18:54:24, 1.26s/step] Training: 23%|██▎ | 16142/70000 [5:42:06<18:56:31, 1.27s/step] Training: 23%|██▎ | 16143/70000 [5:42:07<19:14:05, 1.29s/step] Training: 23%|██▎ | 16144/70000 [5:42:08<18:52:45, 1.26s/step] Training: 23%|██▎ | 16145/70000 [5:42:10<19:21:06, 1.29s/step] Training: 23%|██▎ | 16146/70000 [5:42:11<18:49:52, 1.26s/step] Training: 23%|██▎ | 16147/70000 [5:42:12<19:10:02, 1.28s/step] Training: 23%|██▎ | 16148/70000 [5:42:14<18:55:52, 1.27s/step] Training: 23%|██▎ | 16149/70000 [5:42:15<18:37:29, 1.25s/step] Training: 23%|██▎ | 16150/70000 [5:42:16<19:03:02, 1.27s/step] Training: 23%|██▎ | 16151/70000 [5:42:17<19:15:59, 1.29s/step] Training: 23%|██▎ | 16152/70000 [5:42:19<19:27:53, 1.30s/step] Training: 23%|██▎ | 16153/70000 [5:42:20<18:58:14, 1.27s/step] Training: 23%|██▎ | 16154/70000 [5:42:21<19:20:02, 1.29s/step] Training: 23%|██▎ | 16155/70000 [5:42:23<18:54:23, 1.26s/step] Training: 23%|██▎ | 16156/70000 [5:42:24<18:39:46, 1.25s/step] Training: 23%|██▎ | 16157/70000 [5:42:25<18:25:02, 1.23s/step] Training: 23%|██▎ | 16158/70000 [5:42:26<18:53:32, 1.26s/step] Training: 23%|██▎ | 16159/70000 [5:42:28<19:10:33, 1.28s/step] Training: 23%|██▎ | 16160/70000 [5:42:29<19:20:54, 1.29s/step] Training: 23%|██▎ | 16161/70000 [5:42:30<18:52:50, 1.26s/step] Training: 23%|██▎ | 16162/70000 [5:42:31<19:16:58, 1.29s/step] Training: 23%|██▎ | 16163/70000 [5:42:33<19:25:27, 1.30s/step] Training: 23%|██▎ | 16164/70000 [5:42:34<19:33:32, 1.31s/step] Training: 23%|██▎ | 16165/70000 [5:42:35<19:01:24, 1.27s/step] Training: 23%|██▎ | 16166/70000 [5:42:37<19:29:57, 1.30s/step] Training: 23%|██▎ | 16167/70000 [5:42:38<19:03:53, 1.27s/step] Training: 23%|██▎ | 16168/70000 [5:42:39<19:18:04, 1.29s/step] Training: 23%|██▎ | 16169/70000 [5:42:40<18:51:13, 1.26s/step] Training: 23%|██▎ | 16170/70000 [5:42:42<18:32:14, 1.24s/step] Training: 23%|██▎ | 16171/70000 [5:42:43<18:56:01, 1.27s/step] Training: 23%|██▎ | 16172/70000 [5:42:44<19:17:44, 1.29s/step] Training: 23%|██▎ | 16173/70000 [5:42:45<18:49:58, 1.26s/step] Training: 23%|██▎ | 16174/70000 [5:42:47<18:46:56, 1.26s/step] Training: 23%|██▎ | 16175/70000 [5:42:48<19:04:49, 1.28s/step] Training: 23%|██▎ | 16176/70000 [5:42:49<18:46:30, 1.26s/step] Training: 23%|██▎ | 16177/70000 [5:42:50<18:29:11, 1.24s/step] Training: 23%|██▎ | 16178/70000 [5:42:52<18:26:11, 1.23s/step] Training: 23%|██▎ | 16179/70000 [5:42:53<18:14:00, 1.22s/step] Training: 23%|██▎ | 16180/70000 [5:42:54<18:40:09, 1.25s/step] Training: 23%|██▎ | 16181/70000 [5:42:55<18:24:17, 1.23s/step] Training: 23%|██▎ | 16182/70000 [5:42:57<18:49:07, 1.26s/step] Training: 23%|██▎ | 16183/70000 [5:42:58<19:06:25, 1.28s/step] Training: 23%|██▎ | 16184/70000 [5:42:59<19:21:12, 1.29s/step] Training: 23%|██▎ | 16185/70000 [5:43:01<18:52:56, 1.26s/step] Training: 23%|██▎ | 16186/70000 [5:43:02<18:33:08, 1.24s/step] Training: 23%|██▎ | 16187/70000 [5:43:03<18:59:43, 1.27s/step] Training: 23%|██▎ | 16188/70000 [5:43:04<19:07:46, 1.28s/step] Training: 23%|██▎ | 16189/70000 [5:43:06<18:43:09, 1.25s/step] Training: 23%|██▎ | 16190/70000 [5:43:07<19:04:43, 1.28s/step] Training: 23%|██▎ | 16191/70000 [5:43:08<19:19:11, 1.29s/step] Training: 23%|██▎ | 16192/70000 [5:43:10<19:30:33, 1.31s/step] Training: 23%|██▎ | 16193/70000 [5:43:11<18:59:53, 1.27s/step] Training: 23%|██▎ | 16194/70000 [5:43:12<18:39:14, 1.25s/step] Training: 23%|██▎ | 16195/70000 [5:43:13<19:31:21, 1.31s/step] Training: 23%|██▎ | 16196/70000 [5:43:15<19:39:16, 1.32s/step] Training: 23%|██▎ | 16197/70000 [5:43:16<19:07:18, 1.28s/step] Training: 23%|██▎ | 16198/70000 [5:43:17<19:33:12, 1.31s/step] Training: 23%|██▎ | 16199/70000 [5:43:18<19:07:27, 1.28s/step] Training: 23%|██▎ | 16200/70000 [5:43:20<19:21:06, 1.29s/step]INFO 2026-03-13 01:53:12 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.73 loss:0.101 grdn:10.539 lr:2.2e-05 updt_s:1.253 data_s:0.019 Training: 23%|██▎ | 16201/70000 [5:43:21<18:54:19, 1.27s/step] Training: 23%|██▎ | 16202/70000 [5:43:22<18:34:02, 1.24s/step] Training: 23%|██▎ | 16203/70000 [5:43:24<19:09:22, 1.28s/step] Training: 23%|██▎ | 16204/70000 [5:43:25<19:26:37, 1.30s/step] Training: 23%|██▎ | 16205/70000 [5:43:26<18:57:18, 1.27s/step] Training: 23%|██▎ | 16206/70000 [5:43:27<18:53:22, 1.26s/step] Training: 23%|██▎ | 16207/70000 [5:43:29<19:12:40, 1.29s/step] Training: 23%|██▎ | 16208/70000 [5:43:30<18:50:27, 1.26s/step] Training: 23%|██▎ | 16209/70000 [5:43:31<18:32:36, 1.24s/step] Training: 23%|██▎ | 16210/70000 [5:43:32<18:19:38, 1.23s/step] Training: 23%|██▎ | 16211/70000 [5:43:34<18:22:02, 1.23s/step] Training: 23%|██▎ | 16212/70000 [5:43:35<18:55:01, 1.27s/step] Training: 23%|██▎ | 16213/70000 [5:43:36<18:32:44, 1.24s/step] Training: 23%|██▎ | 16214/70000 [5:43:37<18:54:35, 1.27s/step] Training: 23%|██▎ | 16215/70000 [5:43:39<19:11:22, 1.28s/step] Training: 23%|██▎ | 16216/70000 [5:43:40<19:24:09, 1.30s/step] Training: 23%|██▎ | 16217/70000 [5:43:41<18:56:13, 1.27s/step] Training: 23%|██▎ | 16218/70000 [5:43:42<18:34:12, 1.24s/step] Training: 23%|██▎ | 16219/70000 [5:43:44<19:06:04, 1.28s/step] Training: 23%|██▎ | 16220/70000 [5:43:45<18:51:52, 1.26s/step] Training: 23%|██▎ | 16221/70000 [5:43:46<18:32:03, 1.24s/step] Training: 23%|██▎ | 16222/70000 [5:43:48<18:54:38, 1.27s/step] Training: 23%|██▎ | 16223/70000 [5:43:49<19:13:23, 1.29s/step] Training: 23%|██▎ | 16224/70000 [5:43:50<19:27:27, 1.30s/step] Training: 23%|██▎ | 16225/70000 [5:43:51<18:58:04, 1.27s/step] Training: 23%|██▎ | 16226/70000 [5:43:53<18:37:21, 1.25s/step] Training: 23%|██▎ | 16227/70000 [5:43:54<18:58:06, 1.27s/step] Training: 23%|██▎ | 16228/70000 [5:43:55<19:37:40, 1.31s/step] Training: 23%|██▎ | 16229/70000 [5:43:57<19:04:00, 1.28s/step] Training: 23%|██▎ | 16230/70000 [5:43:58<19:29:26, 1.30s/step] Training: 23%|██▎ | 16231/70000 [5:43:59<19:04:35, 1.28s/step] Training: 23%|██▎ | 16232/70000 [5:44:00<19:20:11, 1.29s/step] Training: 23%|██▎ | 16233/70000 [5:44:02<18:52:14, 1.26s/step] Training: 23%|██▎ | 16234/70000 [5:44:03<18:32:21, 1.24s/step] Training: 23%|██▎ | 16235/70000 [5:44:04<18:59:47, 1.27s/step] Training: 23%|██▎ | 16236/70000 [5:44:06<19:50:59, 1.33s/step] Training: 23%|██▎ | 16237/70000 [5:44:07<19:14:21, 1.29s/step] Training: 23%|██▎ | 16238/70000 [5:44:08<19:00:16, 1.27s/step] Training: 23%|██▎ | 16239/70000 [5:44:09<19:16:19, 1.29s/step] Training: 23%|██▎ | 16240/70000 [5:44:11<18:54:28, 1.27s/step] Training: 23%|██▎ | 16241/70000 [5:44:12<18:34:26, 1.24s/step] Training: 23%|██▎ | 16242/70000 [5:44:13<18:19:34, 1.23s/step] Training: 23%|██▎ | 16243/70000 [5:44:14<18:20:14, 1.23s/step] Training: 23%|██▎ | 16244/70000 [5:44:15<18:20:54, 1.23s/step] Training: 23%|██▎ | 16245/70000 [5:44:17<18:07:58, 1.21s/step] Training: 23%|██▎ | 16246/70000 [5:44:18<18:40:38, 1.25s/step] Training: 23%|██▎ | 16247/70000 [5:44:19<19:00:13, 1.27s/step] Training: 23%|██▎ | 16248/70000 [5:44:21<19:15:37, 1.29s/step] Training: 23%|██▎ | 16249/70000 [5:44:22<18:49:07, 1.26s/step] Training: 23%|██▎ | 16250/70000 [5:44:23<18:29:37, 1.24s/step] Training: 23%|██▎ | 16251/70000 [5:44:24<18:23:59, 1.23s/step] Training: 23%|██▎ | 16252/70000 [5:44:25<18:29:19, 1.24s/step] Training: 23%|██▎ | 16253/70000 [5:44:27<18:15:51, 1.22s/step] Training: 23%|██▎ | 16254/70000 [5:44:28<18:44:19, 1.26s/step] Training: 23%|██▎ | 16255/70000 [5:44:29<19:02:55, 1.28s/step] Training: 23%|██▎ | 16256/70000 [5:44:31<19:17:39, 1.29s/step] Training: 23%|██▎ | 16257/70000 [5:44:32<18:50:35, 1.26s/step] Training: 23%|██▎ | 16258/70000 [5:44:33<18:33:21, 1.24s/step] Training: 23%|██▎ | 16259/70000 [5:44:34<18:55:32, 1.27s/step] Training: 23%|██▎ | 16260/70000 [5:44:36<19:12:56, 1.29s/step] Training: 23%|██▎ | 16261/70000 [5:44:37<18:48:16, 1.26s/step] Training: 23%|██▎ | 16262/70000 [5:44:38<19:19:19, 1.29s/step] Training: 23%|██▎ | 16263/70000 [5:44:39<18:57:27, 1.27s/step] Training: 23%|██▎ | 16264/70000 [5:44:41<19:12:23, 1.29s/step] Training: 23%|██▎ | 16265/70000 [5:44:42<18:46:12, 1.26s/step] Training: 23%|██▎ | 16266/70000 [5:44:43<18:27:56, 1.24s/step] Training: 23%|██▎ | 16267/70000 [5:44:44<18:53:12, 1.27s/step] Training: 23%|██▎ | 16268/70000 [5:44:46<19:09:49, 1.28s/step] Training: 23%|██▎ | 16269/70000 [5:44:47<19:26:15, 1.30s/step] Training: 23%|██▎ | 16270/70000 [5:44:48<19:11:26, 1.29s/step] Training: 23%|██▎ | 16271/70000 [5:44:50<19:21:44, 1.30s/step] Training: 23%|██▎ | 16272/70000 [5:44:51<18:59:54, 1.27s/step] Training: 23%|██▎ | 16273/70000 [5:44:52<18:38:02, 1.25s/step] Training: 23%|██▎ | 16274/70000 [5:44:53<18:22:40, 1.23s/step] Training: 23%|██▎ | 16275/70000 [5:44:55<18:22:47, 1.23s/step] Training: 23%|██▎ | 16276/70000 [5:44:56<18:23:53, 1.23s/step] Training: 23%|██▎ | 16277/70000 [5:44:57<18:35:33, 1.25s/step] Training: 23%|██▎ | 16278/70000 [5:44:58<18:59:21, 1.27s/step] Training: 23%|██▎ | 16279/70000 [5:45:00<19:12:56, 1.29s/step] Training: 23%|██▎ | 16280/70000 [5:45:01<19:25:34, 1.30s/step] Training: 23%|██▎ | 16281/70000 [5:45:02<18:55:33, 1.27s/step] Training: 23%|██▎ | 16282/70000 [5:45:03<18:33:51, 1.24s/step] Training: 23%|██▎ | 16283/70000 [5:45:05<18:27:52, 1.24s/step] Training: 23%|██▎ | 16284/70000 [5:45:06<18:20:36, 1.23s/step] Training: 23%|██▎ | 16285/70000 [5:45:07<18:11:40, 1.22s/step] Training: 23%|██▎ | 16286/70000 [5:45:09<19:11:55, 1.29s/step] Training: 23%|██▎ | 16287/70000 [5:45:10<18:50:43, 1.26s/step] Training: 23%|██▎ | 16288/70000 [5:45:11<19:37:41, 1.32s/step] Training: 23%|██▎ | 16289/70000 [5:45:12<19:04:37, 1.28s/step] Training: 23%|██▎ | 16290/70000 [5:45:14<18:39:49, 1.25s/step] Training: 23%|██▎ | 16291/70000 [5:45:15<19:01:49, 1.28s/step] Training: 23%|██▎ | 16292/70000 [5:45:16<19:18:17, 1.29s/step] Training: 23%|██▎ | 16293/70000 [5:45:18<19:36:37, 1.31s/step] Training: 23%|██▎ | 16294/70000 [5:45:19<19:49:20, 1.33s/step] Training: 23%|██▎ | 16295/70000 [5:45:20<19:12:11, 1.29s/step] Training: 23%|██▎ | 16296/70000 [5:45:21<19:25:45, 1.30s/step] Training: 23%|██▎ | 16297/70000 [5:45:23<18:56:43, 1.27s/step] Training: 23%|██▎ | 16298/70000 [5:45:24<18:33:46, 1.24s/step] Training: 23%|██▎ | 16299/70000 [5:45:25<18:59:14, 1.27s/step] Training: 23%|██▎ | 16300/70000 [5:45:27<19:18:51, 1.29s/step]INFO 2026-03-13 01:55:19 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.82 loss:0.105 grdn:10.555 lr:2.2e-05 updt_s:1.246 data_s:0.019 Training: 23%|██▎ | 16301/70000 [5:45:28<18:51:50, 1.26s/step] Training: 23%|██▎ | 16302/70000 [5:45:29<19:12:34, 1.29s/step] Training: 23%|██▎ | 16303/70000 [5:45:30<18:44:21, 1.26s/step] Training: 23%|██▎ | 16304/70000 [5:45:31<18:43:03, 1.25s/step] Training: 23%|██▎ | 16305/70000 [5:45:33<18:25:55, 1.24s/step] Training: 23%|██▎ | 16306/70000 [5:45:34<18:13:27, 1.22s/step] Training: 23%|██▎ | 16307/70000 [5:45:35<18:15:37, 1.22s/step] Training: 23%|██▎ | 16308/70000 [5:45:36<18:19:28, 1.23s/step] Training: 23%|██▎ | 16309/70000 [5:45:38<18:09:47, 1.22s/step] Training: 23%|██▎ | 16310/70000 [5:45:39<19:07:29, 1.28s/step] Training: 23%|██▎ | 16311/70000 [5:45:40<18:42:04, 1.25s/step] Training: 23%|██▎ | 16312/70000 [5:45:41<19:01:35, 1.28s/step] Training: 23%|██▎ | 16313/70000 [5:45:43<18:39:12, 1.25s/step] Training: 23%|██▎ | 16314/70000 [5:45:44<18:21:42, 1.23s/step] Training: 23%|██▎ | 16315/70000 [5:45:45<18:14:57, 1.22s/step] Training: 23%|██▎ | 16316/70000 [5:45:46<18:13:13, 1.22s/step] Training: 23%|██▎ | 16317/70000 [5:45:47<18:05:21, 1.21s/step] Training: 23%|██▎ | 16318/70000 [5:45:49<18:41:16, 1.25s/step] Training: 23%|██▎ | 16319/70000 [5:45:50<18:24:24, 1.23s/step] Training: 23%|██▎ | 16320/70000 [5:45:51<18:48:41, 1.26s/step] Training: 23%|██▎ | 16321/70000 [5:45:53<18:31:42, 1.24s/step] Training: 23%|██▎ | 16322/70000 [5:45:54<18:16:38, 1.23s/step] Training: 23%|██▎ | 16323/70000 [5:45:55<18:44:17, 1.26s/step] Training: 23%|██▎ | 16324/70000 [5:45:56<19:03:05, 1.28s/step] Training: 23%|██▎ | 16325/70000 [5:45:58<18:38:58, 1.25s/step] Training: 23%|██▎ | 16326/70000 [5:45:59<19:14:07, 1.29s/step] Training: 23%|██▎ | 16327/70000 [5:46:00<18:46:11, 1.26s/step] Training: 23%|██▎ | 16328/70000 [5:46:01<19:09:43, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=11175 Training: 23%|██▎ | 16329/70000 [5:46:03<18:43:42, 1.26s/step] Training: 23%|██▎ | 16330/70000 [5:46:04<18:25:44, 1.24s/step] Training: 23%|██▎ | 16331/70000 [5:46:05<18:48:25, 1.26s/step] Training: 23%|██▎ | 16332/70000 [5:46:07<19:08:43, 1.28s/step] Training: 23%|██▎ | 16333/70000 [5:46:08<18:43:26, 1.26s/step] Training: 23%|██▎ | 16334/70000 [5:46:09<18:48:56, 1.26s/step] Training: 23%|██▎ | 16335/70000 [5:46:10<18:31:20, 1.24s/step] Training: 23%|██▎ | 16336/70000 [5:46:11<18:27:25, 1.24s/step] Training: 23%|██▎ | 16337/70000 [5:46:13<18:14:45, 1.22s/step] Training: 23%|██▎ | 16338/70000 [5:46:14<18:04:44, 1.21s/step] Training: 23%|██▎ | 16339/70000 [5:46:15<18:07:06, 1.22s/step] Training: 23%|██▎ | 16340/70000 [5:46:16<18:13:20, 1.22s/step] Training: 23%|██▎ | 16341/70000 [5:46:17<18:04:30, 1.21s/step] Training: 23%|██▎ | 16342/70000 [5:46:19<18:05:35, 1.21s/step] Training: 23%|██▎ | 16343/70000 [5:46:20<18:40:20, 1.25s/step] Training: 23%|██▎ | 16344/70000 [5:46:21<19:01:56, 1.28s/step] Training: 23%|██▎ | 16345/70000 [5:46:23<18:38:57, 1.25s/step] Training: 23%|██▎ | 16346/70000 [5:46:24<18:21:52, 1.23s/step] Training: 23%|██▎ | 16347/70000 [5:46:25<18:17:37, 1.23s/step] Training: 23%|██▎ | 16348/70000 [5:46:26<18:12:55, 1.22s/step] Training: 23%|██▎ | 16349/70000 [5:46:27<18:04:37, 1.21s/step] Training: 23%|██▎ | 16350/70000 [5:46:29<18:38:41, 1.25s/step] Training: 23%|██▎ | 16351/70000 [5:46:30<18:42:46, 1.26s/step] Training: 23%|██▎ | 16352/70000 [5:46:31<19:03:49, 1.28s/step] Training: 23%|██▎ | 16353/70000 [5:46:32<18:40:40, 1.25s/step] Training: 23%|██▎ | 16354/70000 [5:46:34<18:23:09, 1.23s/step] Training: 23%|██▎ | 16355/70000 [5:46:35<18:48:03, 1.26s/step] Training: 23%|██▎ | 16356/70000 [5:46:36<19:06:45, 1.28s/step] Training: 23%|██▎ | 16357/70000 [5:46:38<18:43:15, 1.26s/step] Training: 23%|██▎ | 16358/70000 [5:46:39<19:08:38, 1.28s/step] Training: 23%|██▎ | 16359/70000 [5:46:40<18:43:19, 1.26s/step] Training: 23%|██▎ | 16360/70000 [5:46:41<19:32:43, 1.31s/step] Training: 23%|██▎ | 16361/70000 [5:46:43<18:59:51, 1.28s/step] Training: 23%|██▎ | 16362/70000 [5:46:44<18:39:26, 1.25s/step] Training: 23%|██▎ | 16363/70000 [5:46:45<18:58:15, 1.27s/step] Training: 23%|██▎ | 16364/70000 [5:46:47<19:12:47, 1.29s/step] Training: 23%|██▎ | 16365/70000 [5:46:48<18:46:22, 1.26s/step] Training: 23%|██▎ | 16366/70000 [5:46:49<18:47:29, 1.26s/step] Training: 23%|██▎ | 16367/70000 [5:46:50<19:15:33, 1.29s/step] Training: 23%|██▎ | 16368/70000 [5:46:52<18:53:48, 1.27s/step] Training: 23%|██▎ | 16369/70000 [5:46:53<18:34:08, 1.25s/step] Training: 23%|██▎ | 16370/70000 [5:46:54<18:19:25, 1.23s/step] Training: 23%|██▎ | 16371/70000 [5:46:55<18:16:47, 1.23s/step] Training: 23%|██▎ | 16372/70000 [5:46:56<18:18:23, 1.23s/step] Training: 23%|██▎ | 16373/70000 [5:46:58<18:07:58, 1.22s/step] Training: 23%|██▎ | 16374/70000 [5:46:59<18:06:59, 1.22s/step] Training: 23%|██▎ | 16375/70000 [5:47:00<18:28:14, 1.24s/step] Training: 23%|██▎ | 16376/70000 [5:47:02<19:26:33, 1.31s/step] Training: 23%|██▎ | 16377/70000 [5:47:03<18:56:05, 1.27s/step] Training: 23%|██▎ | 16378/70000 [5:47:04<18:34:54, 1.25s/step] Training: 23%|██▎ | 16379/70000 [5:47:05<18:22:35, 1.23s/step] Training: 23%|██▎ | 16380/70000 [5:47:06<18:18:48, 1.23s/step] Training: 23%|██▎ | 16381/70000 [5:47:08<18:08:45, 1.22s/step] Training: 23%|██▎ | 16382/70000 [5:47:09<18:39:18, 1.25s/step] Training: 23%|██▎ | 16383/70000 [5:47:10<18:23:36, 1.23s/step] Training: 23%|██▎ | 16384/70000 [5:47:12<19:15:31, 1.29s/step] Training: 23%|██▎ | 16385/70000 [5:47:13<18:48:34, 1.26s/step] Training: 23%|██▎ | 16386/70000 [5:47:14<18:28:20, 1.24s/step] Training: 23%|██▎ | 16387/70000 [5:47:15<18:52:47, 1.27s/step] Training: 23%|██▎ | 16388/70000 [5:47:17<19:08:30, 1.29s/step] Training: 23%|██▎ | 16389/70000 [5:47:18<18:45:08, 1.26s/step] Training: 23%|██▎ | 16390/70000 [5:47:19<19:20:49, 1.30s/step] Training: 23%|██▎ | 16391/70000 [5:47:20<18:52:08, 1.27s/step] Training: 23%|██▎ | 16392/70000 [5:47:22<19:21:54, 1.30s/step] Training: 23%|██▎ | 16393/70000 [5:47:23<18:52:35, 1.27s/step] Training: 23%|██▎ | 16394/70000 [5:47:24<18:30:54, 1.24s/step] Training: 23%|██▎ | 16395/70000 [5:47:25<18:51:57, 1.27s/step] Training: 23%|██▎ | 16396/70000 [5:47:27<19:08:00, 1.28s/step] Training: 23%|██▎ | 16397/70000 [5:47:28<18:44:02, 1.26s/step] Training: 23%|██▎ | 16398/70000 [5:47:29<18:43:01, 1.26s/step] Training: 23%|██▎ | 16399/70000 [5:47:30<18:27:39, 1.24s/step] Training: 23%|██▎ | 16400/70000 [5:47:32<19:06:11, 1.28s/step]INFO 2026-03-13 01:57:24 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.90 loss:0.105 grdn:10.266 lr:2.2e-05 updt_s:1.231 data_s:0.019 Training: 23%|██▎ | 16401/70000 [5:47:33<18:40:56, 1.25s/step] Training: 23%|██▎ | 16402/70000 [5:47:34<18:24:07, 1.24s/step] Training: 23%|██▎ | 16403/70000 [5:47:35<18:21:17, 1.23s/step] Training: 23%|██▎ | 16404/70000 [5:47:37<18:21:01, 1.23s/step] Training: 23%|██▎ | 16405/70000 [5:47:38<18:10:42, 1.22s/step] Training: 23%|██▎ | 16406/70000 [5:47:39<18:11:30, 1.22s/step] Training: 23%|██▎ | 16407/70000 [5:47:40<18:36:11, 1.25s/step] Training: 23%|██▎ | 16408/70000 [5:47:42<18:55:21, 1.27s/step] Training: 23%|██▎ | 16409/70000 [5:47:43<18:33:59, 1.25s/step] Training: 23%|██▎ | 16410/70000 [5:47:44<18:17:49, 1.23s/step] Training: 23%|██▎ | 16411/70000 [5:47:45<18:10:41, 1.22s/step] Training: 23%|██▎ | 16412/70000 [5:47:46<18:08:33, 1.22s/step] Training: 23%|██▎ | 16413/70000 [5:47:48<18:04:35, 1.21s/step] Training: 23%|██▎ | 16414/70000 [5:47:49<18:31:24, 1.24s/step] Training: 23%|██▎ | 16415/70000 [5:47:50<18:30:47, 1.24s/step] Training: 23%|██▎ | 16416/70000 [5:47:52<18:53:13, 1.27s/step] Training: 23%|██▎ | 16417/70000 [5:47:53<19:13:15, 1.29s/step] Training: 23%|██▎ | 16418/70000 [5:47:54<18:43:22, 1.26s/step] Training: 23%|██▎ | 16419/70000 [5:47:55<19:01:30, 1.28s/step] Training: 23%|██▎ | 16420/70000 [5:47:57<19:17:38, 1.30s/step] Training: 23%|██▎ | 16421/70000 [5:47:58<18:50:02, 1.27s/step] Training: 23%|██▎ | 16422/70000 [5:47:59<19:07:20, 1.28s/step] Training: 23%|██▎ | 16423/70000 [5:48:00<18:46:17, 1.26s/step] Training: 23%|██▎ | 16424/70000 [5:48:02<19:18:57, 1.30s/step] Training: 23%|██▎ | 16425/70000 [5:48:03<19:08:56, 1.29s/step] Training: 23%|██▎ | 16426/70000 [5:48:04<18:43:22, 1.26s/step] Training: 23%|██▎ | 16427/70000 [5:48:06<19:01:04, 1.28s/step] Training: 23%|██▎ | 16428/70000 [5:48:07<19:15:27, 1.29s/step] Training: 23%|██▎ | 16429/70000 [5:48:08<18:48:06, 1.26s/step] Training: 23%|██▎ | 16430/70000 [5:48:09<18:37:46, 1.25s/step] Training: 23%|██▎ | 16431/70000 [5:48:11<19:00:03, 1.28s/step] Training: 23%|██▎ | 16432/70000 [5:48:12<18:46:33, 1.26s/step] Training: 23%|██▎ | 16433/70000 [5:48:13<18:27:08, 1.24s/step] Training: 23%|██▎ | 16434/70000 [5:48:14<18:57:19, 1.27s/step] Training: 23%|██▎ | 16435/70000 [5:48:16<18:41:15, 1.26s/step] Training: 23%|██▎ | 16436/70000 [5:48:17<18:36:37, 1.25s/step] Training: 23%|██▎ | 16437/70000 [5:48:18<18:21:38, 1.23s/step] Training: 23%|██▎ | 16438/70000 [5:48:19<18:21:29, 1.23s/step] Training: 23%|██▎ | 16439/70000 [5:48:21<18:50:08, 1.27s/step] Training: 23%|██▎ | 16440/70000 [5:48:22<19:07:56, 1.29s/step] Training: 23%|██▎ | 16441/70000 [5:48:23<19:30:59, 1.31s/step] Training: 23%|██▎ | 16442/70000 [5:48:25<18:55:38, 1.27s/step] Training: 23%|██▎ | 16443/70000 [5:48:26<18:36:42, 1.25s/step] Training: 23%|██▎ | 16444/70000 [5:48:27<18:27:04, 1.24s/step] Training: 23%|██▎ | 16445/70000 [5:48:28<18:14:36, 1.23s/step] Training: 23%|██▎ | 16446/70000 [5:48:30<18:43:07, 1.26s/step] Training: 23%|██▎ | 16447/70000 [5:48:31<19:00:47, 1.28s/step] Training: 23%|██▎ | 16448/70000 [5:48:32<19:12:29, 1.29s/step] Training: 23%|██▎ | 16449/70000 [5:48:34<19:31:38, 1.31s/step] Training: 24%|██▎ | 16450/70000 [5:48:35<18:55:27, 1.27s/step] Training: 24%|██▎ | 16451/70000 [5:48:36<19:12:40, 1.29s/step] Training: 24%|██▎ | 16452/70000 [5:48:37<19:29:05, 1.31s/step] Training: 24%|██▎ | 16453/70000 [5:48:39<18:57:10, 1.27s/step] Training: 24%|██▎ | 16454/70000 [5:48:40<19:09:36, 1.29s/step] Training: 24%|██▎ | 16455/70000 [5:48:41<18:50:24, 1.27s/step] Training: 24%|██▎ | 16456/70000 [5:48:42<18:43:42, 1.26s/step] Training: 24%|██▎ | 16457/70000 [5:48:44<18:24:06, 1.24s/step] Training: 24%|██▎ | 16458/70000 [5:48:45<18:51:55, 1.27s/step] Training: 24%|██▎ | 16459/70000 [5:48:46<19:02:36, 1.28s/step] Training: 24%|██▎ | 16460/70000 [5:48:47<18:37:13, 1.25s/step] Training: 24%|██▎ | 16461/70000 [5:48:49<18:58:04, 1.28s/step] Training: 24%|██▎ | 16462/70000 [5:48:50<18:45:42, 1.26s/step] Training: 24%|██▎ | 16463/70000 [5:48:51<19:05:10, 1.28s/step] Training: 24%|██▎ | 16464/70000 [5:48:53<18:58:48, 1.28s/step] Training: 24%|██▎ | 16465/70000 [5:48:54<18:36:59, 1.25s/step] Training: 24%|██▎ | 16466/70000 [5:48:55<19:02:14, 1.28s/step] Training: 24%|██▎ | 16467/70000 [5:48:56<18:47:15, 1.26s/step] Training: 24%|██▎ | 16468/70000 [5:48:58<18:28:19, 1.24s/step] Training: 24%|██▎ | 16469/70000 [5:48:59<18:47:15, 1.26s/step] Training: 24%|██▎ | 16470/70000 [5:49:00<18:36:18, 1.25s/step] Training: 24%|██▎ | 16471/70000 [5:49:01<19:01:23, 1.28s/step] Training: 24%|██▎ | 16472/70000 [5:49:03<18:46:47, 1.26s/step] Training: 24%|██▎ | 16473/70000 [5:49:04<18:55:01, 1.27s/step] Training: 24%|██▎ | 16474/70000 [5:49:05<19:09:25, 1.29s/step] Training: 24%|██▎ | 16475/70000 [5:49:06<18:50:24, 1.27s/step] Training: 24%|██▎ | 16476/70000 [5:49:08<18:30:20, 1.24s/step] Training: 24%|██▎ | 16477/70000 [5:49:09<18:20:22, 1.23s/step] Training: 24%|██▎ | 16478/70000 [5:49:10<18:46:53, 1.26s/step] Training: 24%|██▎ | 16479/70000 [5:49:12<19:09:31, 1.29s/step] Training: 24%|██▎ | 16480/70000 [5:49:13<19:23:00, 1.30s/step] Training: 24%|██▎ | 16481/70000 [5:49:14<18:52:42, 1.27s/step] Training: 24%|██▎ | 16482/70000 [5:49:15<19:16:03, 1.30s/step] Training: 24%|██▎ | 16483/70000 [5:49:17<19:29:55, 1.31s/step] Training: 24%|██▎ | 16484/70000 [5:49:18<18:56:46, 1.27s/step] Training: 24%|██▎ | 16485/70000 [5:49:19<19:06:50, 1.29s/step] Training: 24%|██▎ | 16486/70000 [5:49:21<19:19:15, 1.30s/step] Training: 24%|██▎ | 16487/70000 [5:49:22<18:55:46, 1.27s/step] Training: 24%|██▎ | 16488/70000 [5:49:23<19:16:39, 1.30s/step] Training: 24%|██▎ | 16489/70000 [5:49:24<18:48:03, 1.26s/step] Training: 24%|██▎ | 16490/70000 [5:49:26<18:42:13, 1.26s/step] Training: 24%|██▎ | 16491/70000 [5:49:27<19:02:21, 1.28s/step] Training: 24%|██▎ | 16492/70000 [5:49:28<18:37:21, 1.25s/step] Training: 24%|██▎ | 16493/70000 [5:49:29<18:58:43, 1.28s/step] Training: 24%|██▎ | 16494/70000 [5:49:31<18:49:20, 1.27s/step] Training: 24%|██▎ | 16495/70000 [5:49:32<19:07:41, 1.29s/step] Training: 24%|██▎ | 16496/70000 [5:49:33<19:16:38, 1.30s/step] Training: 24%|██▎ | 16497/70000 [5:49:35<18:48:14, 1.27s/step] Training: 24%|██▎ | 16498/70000 [5:49:36<18:26:37, 1.24s/step] Training: 24%|██▎ | 16499/70000 [5:49:37<18:53:03, 1.27s/step] Training: 24%|██▎ | 16500/70000 [5:49:38<18:28:58, 1.24s/step]INFO 2026-03-13 01:59:30 ot_train.py:435 step:16K smpl:1M ep:4K epch:13.99 loss:0.106 grdn:10.722 lr:2.2e-05 updt_s:1.244 data_s:0.019 Training: 24%|██▎ | 16501/70000 [5:49:39<18:17:52, 1.23s/step] Training: 24%|██▎ | 16502/70000 [5:49:41<18:17:50, 1.23s/step] Training: 24%|██▎ | 16503/70000 [5:49:42<18:44:08, 1.26s/step] Training: 24%|██▎ | 16504/70000 [5:49:43<18:38:48, 1.25s/step] Training: 24%|██▎ | 16505/70000 [5:49:45<18:42:59, 1.26s/step] Training: 24%|██▎ | 16506/70000 [5:49:46<18:26:15, 1.24s/step] Training: 24%|██▎ | 16507/70000 [5:49:47<18:45:53, 1.26s/step] Training: 24%|██▎ | 16508/70000 [5:49:48<18:25:13, 1.24s/step] Training: 24%|██▎ | 16509/70000 [5:49:50<18:48:22, 1.27s/step] Training: 24%|██▎ | 16510/70000 [5:49:51<19:07:07, 1.29s/step] Training: 24%|██▎ | 16511/70000 [5:49:52<19:21:39, 1.30s/step] Training: 24%|██▎ | 16512/70000 [5:49:54<19:28:43, 1.31s/step] Training: 24%|██▎ | 16513/70000 [5:49:55<18:56:18, 1.27s/step] Training: 24%|██▎ | 16514/70000 [5:49:56<18:32:49, 1.25s/step] Training: 24%|██▎ | 16515/70000 [5:49:57<19:04:50, 1.28s/step] Training: 24%|██▎ | 16516/70000 [5:49:58<18:36:17, 1.25s/step] Training: 24%|██▎ | 16517/70000 [5:50:00<18:57:56, 1.28s/step] Training: 24%|██▎ | 16518/70000 [5:50:01<19:15:24, 1.30s/step] Training: 24%|██▎ | 16519/70000 [5:50:02<18:57:24, 1.28s/step] Training: 24%|██▎ | 16520/70000 [5:50:05<23:06:12, 1.56s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 24%|██▎ | 16521/70000 [5:50:08<33:19:05, 2.24s/step] Training: 24%|██▎ | 16522/70000 [5:50:10<28:37:50, 1.93s/step] Training: 24%|██▎ | 16523/70000 [5:50:11<26:09:20, 1.76s/step] Training: 24%|██▎ | 16524/70000 [5:50:12<24:41:54, 1.66s/step] Training: 24%|██▎ | 16525/70000 [5:50:14<23:25:22, 1.58s/step] Training: 24%|██▎ | 16526/70000 [5:50:15<22:56:28, 1.54s/step] Training: 24%|██▎ | 16527/70000 [5:50:17<22:13:03, 1.50s/step] Training: 24%|██▎ | 16528/70000 [5:50:18<21:37:38, 1.46s/step] Training: 24%|██▎ | 16529/70000 [5:50:19<20:26:29, 1.38s/step] Training: 24%|██▎ | 16530/70000 [5:50:20<19:36:19, 1.32s/step] Training: 24%|██▎ | 16531/70000 [5:50:22<19:16:58, 1.30s/step] Training: 24%|██▎ | 16532/70000 [5:50:23<19:29:48, 1.31s/step] Training: 24%|██▎ | 16533/70000 [5:50:24<19:03:31, 1.28s/step] Training: 24%|██▎ | 16534/70000 [5:50:25<18:48:18, 1.27s/step] Training: 24%|██▎ | 16535/70000 [5:50:27<19:07:31, 1.29s/step] Training: 24%|██▎ | 16536/70000 [5:50:28<19:22:49, 1.30s/step] Training: 24%|██▎ | 16537/70000 [5:50:29<18:53:40, 1.27s/step] Training: 24%|██▎ | 16538/70000 [5:50:30<18:31:01, 1.25s/step] Training: 24%|██▎ | 16539/70000 [5:50:32<18:21:54, 1.24s/step] Training: 24%|██▎ | 16540/70000 [5:50:33<18:09:14, 1.22s/step] Training: 24%|██▎ | 16541/70000 [5:50:34<18:38:33, 1.26s/step] Training: 24%|██▎ | 16542/70000 [5:50:36<19:07:09, 1.29s/step] Training: 24%|██▎ | 16543/70000 [5:50:37<19:21:45, 1.30s/step] Training: 24%|██▎ | 16544/70000 [5:50:38<19:30:05, 1.31s/step] Training: 24%|██▎ | 16545/70000 [5:50:39<18:58:27, 1.28s/step] Training: 24%|██▎ | 16546/70000 [5:50:41<18:34:37, 1.25s/step] Training: 24%|██▎ | 16547/70000 [5:50:42<19:02:48, 1.28s/step] Training: 24%|██▎ | 16548/70000 [5:50:43<19:08:31, 1.29s/step] Training: 24%|██▎ | 16549/70000 [5:50:45<19:18:16, 1.30s/step] Training: 24%|██▎ | 16550/70000 [5:50:46<19:29:17, 1.31s/step] Training: 24%|██▎ | 16551/70000 [5:50:47<19:03:41, 1.28s/step] Training: 24%|██▎ | 16552/70000 [5:50:49<19:27:26, 1.31s/step] Training: 24%|██▎ | 16553/70000 [5:50:50<18:56:11, 1.28s/step] Training: 24%|██▎ | 16554/70000 [5:50:51<18:32:51, 1.25s/step] Training: 24%|██▎ | 16555/70000 [5:50:52<18:56:34, 1.28s/step] Training: 24%|██▎ | 16556/70000 [5:50:54<18:51:17, 1.27s/step] Training: 24%|██▎ | 16557/70000 [5:50:55<19:06:56, 1.29s/step] Training: 24%|██▎ | 16558/70000 [5:50:56<18:52:25, 1.27s/step] Training: 24%|██▎ | 16559/70000 [5:50:57<19:10:51, 1.29s/step] Training: 24%|██▎ | 16560/70000 [5:50:59<18:58:35, 1.28s/step] Training: 24%|██▎ | 16561/70000 [5:51:00<18:36:13, 1.25s/step] Training: 24%|██▎ | 16562/70000 [5:51:01<18:19:05, 1.23s/step] Training: 24%|██▎ | 16563/70000 [5:51:02<18:12:15, 1.23s/step] Training: 24%|██▎ | 16564/70000 [5:51:03<18:02:48, 1.22s/step] Training: 24%|██▎ | 16565/70000 [5:51:05<18:37:58, 1.26s/step] Training: 24%|██▎ | 16566/70000 [5:51:06<18:28:03, 1.24s/step] Training: 24%|██▎ | 16567/70000 [5:51:07<18:57:19, 1.28s/step] Training: 24%|██▎ | 16568/70000 [5:51:09<19:13:03, 1.29s/step] Training: 24%|██▎ | 16569/70000 [5:51:10<18:45:52, 1.26s/step] Training: 24%|██▎ | 16570/70000 [5:51:11<18:27:23, 1.24s/step] Training: 24%|██▎ | 16571/70000 [5:51:12<18:29:19, 1.25s/step] Training: 24%|██▎ | 16572/70000 [5:51:14<18:14:33, 1.23s/step] Training: 24%|██▎ | 16573/70000 [5:51:15<19:03:17, 1.28s/step] Training: 24%|██▎ | 16574/70000 [5:51:16<19:20:31, 1.30s/step] Training: 24%|██▎ | 16575/70000 [5:51:18<18:50:11, 1.27s/step] Training: 24%|██▎ | 16576/70000 [5:51:19<19:40:27, 1.33s/step] Training: 24%|██▎ | 16577/70000 [5:51:20<19:04:44, 1.29s/step] Training: 24%|██▎ | 16578/70000 [5:51:21<18:40:38, 1.26s/step] Training: 24%|██▎ | 16579/70000 [5:51:23<18:21:55, 1.24s/step] Training: 24%|██▎ | 16580/70000 [5:51:24<18:41:24, 1.26s/step] Training: 24%|██▎ | 16581/70000 [5:51:25<19:00:23, 1.28s/step] Training: 24%|██▎ | 16582/70000 [5:51:27<19:46:58, 1.33s/step] Training: 24%|██▎ | 16583/70000 [5:51:28<19:09:13, 1.29s/step] Training: 24%|██▎ | 16584/70000 [5:51:29<19:42:50, 1.33s/step] Training: 24%|██▎ | 16585/70000 [5:51:30<19:05:33, 1.29s/step] Training: 24%|██▎ | 16586/70000 [5:51:32<18:39:09, 1.26s/step] Training: 24%|██▎ | 16587/70000 [5:51:33<18:21:59, 1.24s/step] Training: 24%|██▎ | 16588/70000 [5:51:34<18:09:05, 1.22s/step] Training: 24%|██▎ | 16589/70000 [5:51:35<18:44:57, 1.26s/step] Training: 24%|██▎ | 16590/70000 [5:51:37<18:35:25, 1.25s/step] Training: 24%|██▎ | 16591/70000 [5:51:38<18:54:31, 1.27s/step] Training: 24%|██▎ | 16592/70000 [5:51:39<18:50:51, 1.27s/step] Training: 24%|██▎ | 16593/70000 [5:51:40<18:30:31, 1.25s/step] Training: 24%|██▎ | 16594/70000 [5:51:42<18:14:57, 1.23s/step] Training: 24%|██▎ | 16595/70000 [5:51:43<18:18:44, 1.23s/step] Training: 24%|██▎ | 16596/70000 [5:51:44<18:06:20, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=33818 Training: 24%|██▎ | 16597/70000 [5:51:45<18:04:21, 1.22s/step] Training: 24%|██▎ | 16598/70000 [5:51:47<18:38:06, 1.26s/step] Training: 24%|██▎ | 16599/70000 [5:51:48<18:54:47, 1.28s/step] Training: 24%|██▎ | 16600/70000 [5:51:49<19:10:09, 1.29s/step]INFO 2026-03-13 02:01:41 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.07 loss:0.089 grdn:10.018 lr:2.2e-05 updt_s:1.253 data_s:0.054 Training: 24%|██▎ | 16601/70000 [5:51:50<18:42:30, 1.26s/step] Training: 24%|██▎ | 16602/70000 [5:51:52<18:23:19, 1.24s/step] Training: 24%|██▎ | 16603/70000 [5:51:53<18:18:13, 1.23s/step] Training: 24%|██▎ | 16604/70000 [5:51:54<18:05:45, 1.22s/step] Training: 24%|██▎ | 16605/70000 [5:51:55<18:34:45, 1.25s/step] Training: 24%|██▎ | 16606/70000 [5:51:57<19:48:00, 1.33s/step] Training: 24%|██▎ | 16607/70000 [5:51:58<19:17:48, 1.30s/step] Training: 24%|██▎ | 16608/70000 [5:51:59<19:27:08, 1.31s/step] Training: 24%|██▎ | 16609/70000 [5:52:01<18:54:12, 1.27s/step] Training: 24%|██▎ | 16610/70000 [5:52:02<18:31:02, 1.25s/step] Training: 24%|██▎ | 16611/70000 [5:52:03<18:52:04, 1.27s/step] Training: 24%|██▎ | 16612/70000 [5:52:04<18:29:30, 1.25s/step] Training: 24%|██▎ | 16613/70000 [5:52:06<18:49:36, 1.27s/step] Training: 24%|██▎ | 16614/70000 [5:52:07<19:08:46, 1.29s/step] Training: 24%|██▎ | 16615/70000 [5:52:08<18:51:50, 1.27s/step] Training: 24%|██▎ | 16616/70000 [5:52:10<19:16:06, 1.30s/step] Training: 24%|██▎ | 16617/70000 [5:52:11<18:46:14, 1.27s/step] Training: 24%|██▎ | 16618/70000 [5:52:12<18:25:36, 1.24s/step] Training: 24%|██▎ | 16619/70000 [5:52:13<18:49:43, 1.27s/step] Training: 24%|██▎ | 16620/70000 [5:52:14<18:27:55, 1.25s/step] Training: 24%|██▎ | 16621/70000 [5:52:16<18:51:16, 1.27s/step] Training: 24%|██▎ | 16622/70000 [5:52:17<18:46:42, 1.27s/step] Training: 24%|██▎ | 16623/70000 [5:52:18<18:26:15, 1.24s/step] Training: 24%|██▎ | 16624/70000 [5:52:20<18:56:12, 1.28s/step] Training: 24%|██▍ | 16625/70000 [5:52:21<18:33:24, 1.25s/step] Training: 24%|██▍ | 16626/70000 [5:52:22<18:17:17, 1.23s/step] Training: 24%|██▍ | 16627/70000 [5:52:23<18:09:33, 1.22s/step] Training: 24%|██▍ | 16628/70000 [5:52:24<17:59:34, 1.21s/step] Training: 24%|██▍ | 16629/70000 [5:52:26<17:57:10, 1.21s/step] Training: 24%|██▍ | 16630/70000 [5:52:27<18:09:59, 1.23s/step] Training: 24%|██▍ | 16631/70000 [5:52:28<18:33:28, 1.25s/step] Training: 24%|██▍ | 16632/70000 [5:52:29<18:55:39, 1.28s/step] Training: 24%|██▍ | 16633/70000 [5:52:31<18:33:07, 1.25s/step] Training: 24%|██▍ | 16634/70000 [5:52:32<18:17:15, 1.23s/step] Training: 24%|██▍ | 16635/70000 [5:52:33<18:14:33, 1.23s/step] Training: 24%|██▍ | 16636/70000 [5:52:34<18:03:45, 1.22s/step] Training: 24%|██▍ | 16637/70000 [5:52:36<18:34:53, 1.25s/step] Training: 24%|██▍ | 16638/70000 [5:52:37<18:56:43, 1.28s/step] Training: 24%|██▍ | 16639/70000 [5:52:38<19:17:56, 1.30s/step] Training: 24%|██▍ | 16640/70000 [5:52:40<19:22:56, 1.31s/step] Training: 24%|██▍ | 16641/70000 [5:52:41<18:50:37, 1.27s/step] Training: 24%|██▍ | 16642/70000 [5:52:42<18:28:16, 1.25s/step] Training: 24%|██▍ | 16643/70000 [5:52:43<18:14:17, 1.23s/step] Training: 24%|██▍ | 16644/70000 [5:52:44<18:35:00, 1.25s/step] Training: 24%|██▍ | 16645/70000 [5:52:46<18:56:31, 1.28s/step] Training: 24%|██▍ | 16646/70000 [5:52:47<19:13:01, 1.30s/step] Training: 24%|██▍ | 16647/70000 [5:52:49<19:48:51, 1.34s/step] Training: 24%|██▍ | 16648/70000 [5:52:50<19:59:34, 1.35s/step] Training: 24%|██▍ | 16649/70000 [5:52:51<19:17:47, 1.30s/step] Training: 24%|██▍ | 16650/70000 [5:52:52<18:48:15, 1.27s/step] Training: 24%|██▍ | 16651/70000 [5:52:54<19:06:09, 1.29s/step] Training: 24%|██▍ | 16652/70000 [5:52:55<18:41:03, 1.26s/step] Training: 24%|██▍ | 16653/70000 [5:52:56<18:59:35, 1.28s/step] Training: 24%|██▍ | 16654/70000 [5:52:57<18:46:28, 1.27s/step] Training: 24%|██▍ | 16655/70000 [5:52:59<19:10:21, 1.29s/step] Training: 24%|██▍ | 16656/70000 [5:53:00<18:45:39, 1.27s/step] Training: 24%|██▍ | 16657/70000 [5:53:01<18:25:12, 1.24s/step] Training: 24%|██▍ | 16658/70000 [5:53:02<18:10:55, 1.23s/step] Training: 24%|██▍ | 16659/70000 [5:53:04<18:01:32, 1.22s/step] Training: 24%|██▍ | 16660/70000 [5:53:05<17:53:55, 1.21s/step] Training: 24%|██▍ | 16661/70000 [5:53:06<17:52:35, 1.21s/step] Training: 24%|██▍ | 16662/70000 [5:53:07<17:56:39, 1.21s/step] Training: 24%|██▍ | 16663/70000 [5:53:09<18:37:06, 1.26s/step] Training: 24%|██▍ | 16664/70000 [5:53:10<18:58:08, 1.28s/step] Training: 24%|██▍ | 16665/70000 [5:53:11<18:36:03, 1.26s/step] Training: 24%|██▍ | 16666/70000 [5:53:12<18:17:57, 1.24s/step] Training: 24%|██▍ | 16667/70000 [5:53:14<18:44:55, 1.27s/step] Training: 24%|██▍ | 16668/70000 [5:53:15<18:23:58, 1.24s/step] Training: 24%|██▍ | 16669/70000 [5:53:16<18:48:20, 1.27s/step] Training: 24%|██▍ | 16670/70000 [5:53:17<19:06:52, 1.29s/step] Training: 24%|██▍ | 16671/70000 [5:53:19<19:15:53, 1.30s/step] Training: 24%|██▍ | 16672/70000 [5:53:20<19:54:02, 1.34s/step] Training: 24%|██▍ | 16673/70000 [5:53:21<19:13:55, 1.30s/step] Training: 24%|██▍ | 16674/70000 [5:53:23<18:45:35, 1.27s/step] Training: 24%|██▍ | 16675/70000 [5:53:24<18:31:13, 1.25s/step] Training: 24%|██▍ | 16676/70000 [5:53:25<18:15:41, 1.23s/step] Training: 24%|██▍ | 16677/70000 [5:53:26<18:39:53, 1.26s/step] Training: 24%|██▍ | 16678/70000 [5:53:28<19:01:44, 1.28s/step] Training: 24%|██▍ | 16679/70000 [5:53:29<19:13:44, 1.30s/step] Training: 24%|██▍ | 16680/70000 [5:53:30<19:51:02, 1.34s/step] Training: 24%|██▍ | 16681/70000 [5:53:32<19:11:39, 1.30s/step] Training: 24%|██▍ | 16682/70000 [5:53:33<18:44:28, 1.27s/step] Training: 24%|██▍ | 16683/70000 [5:53:34<19:00:26, 1.28s/step] Training: 24%|██▍ | 16684/70000 [5:53:35<18:35:45, 1.26s/step] Training: 24%|██▍ | 16685/70000 [5:53:37<18:29:26, 1.25s/step] Training: 24%|██▍ | 16686/70000 [5:53:38<18:25:37, 1.24s/step] Training: 24%|██▍ | 16687/70000 [5:53:39<18:22:19, 1.24s/step] Training: 24%|██▍ | 16688/70000 [5:53:41<19:11:23, 1.30s/step] Training: 24%|██▍ | 16689/70000 [5:53:42<18:44:59, 1.27s/step] Training: 24%|██▍ | 16690/70000 [5:53:43<18:23:39, 1.24s/step] Training: 24%|██▍ | 16691/70000 [5:53:44<18:47:07, 1.27s/step] Training: 24%|██▍ | 16692/70000 [5:53:45<18:27:29, 1.25s/step] Training: 24%|██▍ | 16693/70000 [5:53:47<18:19:27, 1.24s/step] Training: 24%|██▍ | 16694/70000 [5:53:48<18:13:22, 1.23s/step] Training: 24%|██▍ | 16695/70000 [5:53:49<18:45:16, 1.27s/step] Training: 24%|██▍ | 16696/70000 [5:53:51<19:03:11, 1.29s/step] Training: 24%|██▍ | 16697/70000 [5:53:52<19:18:15, 1.30s/step] Training: 24%|██▍ | 16698/70000 [5:53:53<18:45:46, 1.27s/step] Training: 24%|██▍ | 16699/70000 [5:53:54<19:05:35, 1.29s/step] Training: 24%|██▍ | 16700/70000 [5:53:56<18:39:31, 1.26s/step]INFO 2026-03-13 02:03:48 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.15 loss:0.094 grdn:9.973 lr:2.2e-05 updt_s:1.242 data_s:0.019 Training: 24%|██▍ | 16701/70000 [5:53:57<18:57:38, 1.28s/step] Training: 24%|██▍ | 16702/70000 [5:53:58<19:12:36, 1.30s/step] Training: 24%|██▍ | 16703/70000 [5:54:00<19:26:20, 1.31s/step] Training: 24%|██▍ | 16704/70000 [5:54:01<19:32:51, 1.32s/step] Training: 24%|██▍ | 16705/70000 [5:54:02<19:44:31, 1.33s/step] Training: 24%|██▍ | 16706/70000 [5:54:03<19:03:15, 1.29s/step] Training: 24%|██▍ | 16707/70000 [5:54:05<18:41:59, 1.26s/step] Training: 24%|██▍ | 16708/70000 [5:54:06<18:24:30, 1.24s/step] Training: 24%|██▍ | 16709/70000 [5:54:07<18:44:39, 1.27s/step] Training: 24%|██▍ | 16710/70000 [5:54:09<19:05:08, 1.29s/step] Training: 24%|██▍ | 16711/70000 [5:54:10<19:14:35, 1.30s/step] Training: 24%|██▍ | 16712/70000 [5:54:11<19:44:20, 1.33s/step] Training: 24%|██▍ | 16713/70000 [5:54:12<19:11:52, 1.30s/step] Training: 24%|██▍ | 16714/70000 [5:54:14<18:43:51, 1.27s/step] Training: 24%|██▍ | 16715/70000 [5:54:15<18:59:20, 1.28s/step] Training: 24%|██▍ | 16716/70000 [5:54:16<18:34:26, 1.25s/step] Training: 24%|██▍ | 16717/70000 [5:54:17<18:29:24, 1.25s/step] Training: 24%|██▍ | 16718/70000 [5:54:19<18:24:09, 1.24s/step] Training: 24%|██▍ | 16719/70000 [5:54:20<18:18:20, 1.24s/step] Training: 24%|██▍ | 16720/70000 [5:54:21<19:04:19, 1.29s/step] Training: 24%|██▍ | 16721/70000 [5:54:23<18:57:31, 1.28s/step] Training: 24%|██▍ | 16722/70000 [5:54:24<18:31:27, 1.25s/step] Training: 24%|██▍ | 16723/70000 [5:54:25<18:47:12, 1.27s/step] Training: 24%|██▍ | 16724/70000 [5:54:26<18:25:46, 1.25s/step] Training: 24%|██▍ | 16725/70000 [5:54:27<18:22:34, 1.24s/step] Training: 24%|██▍ | 16726/70000 [5:54:29<18:17:03, 1.24s/step] Training: 24%|██▍ | 16727/70000 [5:54:30<18:43:16, 1.27s/step] Training: 24%|██▍ | 16728/70000 [5:54:31<19:02:50, 1.29s/step] Training: 24%|██▍ | 16729/70000 [5:54:33<18:38:15, 1.26s/step] Training: 24%|██▍ | 16730/70000 [5:54:34<19:00:26, 1.28s/step] Training: 24%|██▍ | 16731/70000 [5:54:35<18:43:21, 1.27s/step] Training: 24%|██▍ | 16732/70000 [5:54:36<18:23:56, 1.24s/step] Training: 24%|██▍ | 16733/70000 [5:54:38<18:47:16, 1.27s/step] Training: 24%|██▍ | 16734/70000 [5:54:39<19:07:13, 1.29s/step] Training: 24%|██▍ | 16735/70000 [5:54:40<19:21:59, 1.31s/step] Training: 24%|██▍ | 16736/70000 [5:54:42<19:33:33, 1.32s/step] Training: 24%|██▍ | 16737/70000 [5:54:43<18:59:40, 1.28s/step] Training: 24%|██▍ | 16738/70000 [5:54:44<18:51:42, 1.27s/step] Training: 24%|██▍ | 16739/70000 [5:54:45<18:31:56, 1.25s/step] Training: 24%|██▍ | 16740/70000 [5:54:47<18:18:06, 1.24s/step] Training: 24%|██▍ | 16741/70000 [5:54:48<18:44:36, 1.27s/step] Training: 24%|██▍ | 16742/70000 [5:54:49<19:01:00, 1.29s/step] Training: 24%|██▍ | 16743/70000 [5:54:50<18:45:07, 1.27s/step] Training: 24%|██▍ | 16744/70000 [5:54:52<19:13:12, 1.30s/step] Training: 24%|██▍ | 16745/70000 [5:54:53<18:44:18, 1.27s/step] Training: 24%|██▍ | 16746/70000 [5:54:54<18:38:01, 1.26s/step] Training: 24%|██▍ | 16747/70000 [5:54:56<18:54:56, 1.28s/step] Training: 24%|██▍ | 16748/70000 [5:54:57<18:32:02, 1.25s/step] Training: 24%|██▍ | 16749/70000 [5:54:58<18:24:50, 1.24s/step] Training: 24%|██▍ | 16750/70000 [5:54:59<18:20:33, 1.24s/step] Training: 24%|██▍ | 16751/70000 [5:55:00<18:13:27, 1.23s/step] Training: 24%|██▍ | 16752/70000 [5:55:02<18:42:55, 1.27s/step] Training: 24%|██▍ | 16753/70000 [5:55:03<18:23:16, 1.24s/step] Training: 24%|██▍ | 16754/70000 [5:55:04<18:09:32, 1.23s/step] Training: 24%|██▍ | 16755/70000 [5:55:06<19:03:28, 1.29s/step] Training: 24%|██▍ | 16756/70000 [5:55:07<18:39:22, 1.26s/step] Training: 24%|██▍ | 16757/70000 [5:55:08<18:27:59, 1.25s/step] Training: 24%|██▍ | 16758/70000 [5:55:09<18:21:47, 1.24s/step] Training: 24%|██▍ | 16759/70000 [5:55:11<18:45:09, 1.27s/step] Training: 24%|██▍ | 16760/70000 [5:55:12<19:01:34, 1.29s/step] Training: 24%|██▍ | 16761/70000 [5:55:13<18:36:58, 1.26s/step] Training: 24%|██▍ | 16762/70000 [5:55:14<18:18:54, 1.24s/step] Training: 24%|██▍ | 16763/70000 [5:55:16<19:11:18, 1.30s/step] Training: 24%|██▍ | 16764/70000 [5:55:17<18:46:31, 1.27s/step] Training: 24%|██▍ | 16765/70000 [5:55:18<19:05:11, 1.29s/step] Training: 24%|██▍ | 16766/70000 [5:55:20<19:15:35, 1.30s/step] Training: 24%|██▍ | 16767/70000 [5:55:21<19:22:13, 1.31s/step] Training: 24%|██▍ | 16768/70000 [5:55:22<19:27:27, 1.32s/step] Training: 24%|██▍ | 16769/70000 [5:55:23<18:54:08, 1.28s/step] Training: 24%|██▍ | 16770/70000 [5:55:25<18:29:49, 1.25s/step] Training: 24%|██▍ | 16771/70000 [5:55:26<18:58:12, 1.28s/step] Training: 24%|██▍ | 16772/70000 [5:55:27<18:31:32, 1.25s/step] Training: 24%|██▍ | 16773/70000 [5:55:28<18:53:04, 1.28s/step] Training: 24%|██▍ | 16774/70000 [5:55:30<19:09:58, 1.30s/step] Training: 24%|██▍ | 16775/70000 [5:55:31<18:49:57, 1.27s/step] Training: 24%|██▍ | 16776/70000 [5:55:32<19:19:22, 1.31s/step] Training: 24%|██▍ | 16777/70000 [5:55:34<18:48:55, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=41529 Training: 24%|██▍ | 16778/70000 [5:55:35<18:26:36, 1.25s/step] Training: 24%|██▍ | 16779/70000 [5:55:36<18:54:31, 1.28s/step] Training: 24%|██▍ | 16780/70000 [5:55:38<19:10:04, 1.30s/step] Training: 24%|██▍ | 16781/70000 [5:55:39<18:58:41, 1.28s/step] Training: 24%|██▍ | 16782/70000 [5:55:40<18:39:04, 1.26s/step] Training: 24%|██▍ | 16783/70000 [5:55:41<18:27:11, 1.25s/step] Training: 24%|██▍ | 16784/70000 [5:55:43<19:12:21, 1.30s/step] Training: 24%|██▍ | 16785/70000 [5:55:44<18:45:18, 1.27s/step] Training: 24%|██▍ | 16786/70000 [5:55:45<18:23:58, 1.24s/step] Training: 24%|██▍ | 16787/70000 [5:55:46<18:09:21, 1.23s/step] Training: 24%|██▍ | 16788/70000 [5:55:48<18:38:56, 1.26s/step] Training: 24%|██▍ | 16789/70000 [5:55:49<18:25:00, 1.25s/step] Training: 24%|██▍ | 16790/70000 [5:55:50<18:47:05, 1.27s/step] Training: 24%|██▍ | 16791/70000 [5:55:51<19:00:13, 1.29s/step] Training: 24%|██▍ | 16792/70000 [5:55:53<19:11:19, 1.30s/step] Training: 24%|██▍ | 16793/70000 [5:55:54<18:42:58, 1.27s/step] Training: 24%|██▍ | 16794/70000 [5:55:55<18:22:48, 1.24s/step] Training: 24%|██▍ | 16795/70000 [5:55:56<18:19:48, 1.24s/step] Training: 24%|██▍ | 16796/70000 [5:55:58<18:53:56, 1.28s/step] Training: 24%|██▍ | 16797/70000 [5:55:59<19:07:51, 1.29s/step] Training: 24%|██▍ | 16798/70000 [5:56:00<18:48:14, 1.27s/step] Training: 24%|██▍ | 16799/70000 [5:56:02<19:26:25, 1.32s/step] Training: 24%|██▍ | 16800/70000 [5:56:03<19:33:42, 1.32s/step]INFO 2026-03-13 02:05:55 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.24 loss:0.090 grdn:11.578 lr:2.2e-05 updt_s:1.254 data_s:0.018 Training: 24%|██▍ | 16801/70000 [5:56:04<18:59:00, 1.28s/step] Training: 24%|██▍ | 16802/70000 [5:56:05<18:33:42, 1.26s/step] Training: 24%|██▍ | 16803/70000 [5:56:07<18:25:14, 1.25s/step] Training: 24%|██▍ | 16804/70000 [5:56:08<18:17:15, 1.24s/step] Training: 24%|██▍ | 16805/70000 [5:56:09<18:39:49, 1.26s/step] Training: 24%|██▍ | 16806/70000 [5:56:10<19:00:49, 1.29s/step] Training: 24%|██▍ | 16807/70000 [5:56:12<18:42:14, 1.27s/step] Training: 24%|██▍ | 16808/70000 [5:56:13<19:14:07, 1.30s/step] Training: 24%|██▍ | 16809/70000 [5:56:14<18:44:31, 1.27s/step] Training: 24%|██▍ | 16810/70000 [5:56:15<18:23:42, 1.25s/step] Training: 24%|██▍ | 16811/70000 [5:56:17<18:43:20, 1.27s/step] Training: 24%|██▍ | 16812/70000 [5:56:18<18:44:18, 1.27s/step] Training: 24%|██▍ | 16813/70000 [5:56:19<18:29:58, 1.25s/step] Training: 24%|██▍ | 16814/70000 [5:56:21<19:02:08, 1.29s/step] Training: 24%|██▍ | 16815/70000 [5:56:22<18:39:53, 1.26s/step] Training: 24%|██▍ | 16816/70000 [5:56:23<19:10:28, 1.30s/step] Training: 24%|██▍ | 16817/70000 [5:56:24<18:41:45, 1.27s/step] Training: 24%|██▍ | 16818/70000 [5:56:26<18:22:01, 1.24s/step] Training: 24%|██▍ | 16819/70000 [5:56:27<18:44:35, 1.27s/step] Training: 24%|██▍ | 16820/70000 [5:56:28<18:24:22, 1.25s/step] Training: 24%|██▍ | 16821/70000 [5:56:29<18:49:34, 1.27s/step] Training: 24%|██▍ | 16822/70000 [5:56:31<19:01:09, 1.29s/step] Training: 24%|██▍ | 16823/70000 [5:56:32<18:34:14, 1.26s/step] Training: 24%|██▍ | 16824/70000 [5:56:33<18:50:04, 1.28s/step] Training: 24%|██▍ | 16825/70000 [5:56:35<19:07:27, 1.29s/step] Training: 24%|██▍ | 16826/70000 [5:56:36<18:40:28, 1.26s/step] Training: 24%|██▍ | 16827/70000 [5:56:37<18:31:51, 1.25s/step] Training: 24%|██▍ | 16828/70000 [5:56:38<18:15:04, 1.24s/step] Training: 24%|██▍ | 16829/70000 [5:56:40<19:02:57, 1.29s/step] Training: 24%|██▍ | 16830/70000 [5:56:41<19:15:06, 1.30s/step] Training: 24%|██▍ | 16831/70000 [5:56:42<18:45:31, 1.27s/step] Training: 24%|██▍ | 16832/70000 [5:56:44<19:03:03, 1.29s/step] Training: 24%|██▍ | 16833/70000 [5:56:45<18:54:06, 1.28s/step] Training: 24%|██▍ | 16834/70000 [5:56:46<18:29:36, 1.25s/step] Training: 24%|██▍ | 16835/70000 [5:56:47<18:16:15, 1.24s/step] Training: 24%|██▍ | 16836/70000 [5:56:48<18:03:42, 1.22s/step] Training: 24%|██▍ | 16837/70000 [5:56:50<18:31:15, 1.25s/step] Training: 24%|██▍ | 16838/70000 [5:56:51<19:35:07, 1.33s/step] Training: 24%|██▍ | 16839/70000 [5:56:52<19:06:58, 1.29s/step] Training: 24%|██▍ | 16840/70000 [5:56:54<19:20:40, 1.31s/step] Training: 24%|██▍ | 16841/70000 [5:56:55<18:54:28, 1.28s/step] Training: 24%|██▍ | 16842/70000 [5:56:56<18:33:47, 1.26s/step] Training: 24%|██▍ | 16843/70000 [5:56:58<18:51:23, 1.28s/step] Training: 24%|██▍ | 16844/70000 [5:56:59<18:30:13, 1.25s/step] Training: 24%|██▍ | 16845/70000 [5:57:00<19:23:39, 1.31s/step] Training: 24%|██▍ | 16846/70000 [5:57:02<19:33:48, 1.32s/step] Training: 24%|██▍ | 16847/70000 [5:57:03<19:06:55, 1.29s/step] Training: 24%|██▍ | 16848/70000 [5:57:04<19:44:04, 1.34s/step] Training: 24%|██▍ | 16849/70000 [5:57:05<19:41:50, 1.33s/step] Training: 24%|██▍ | 16850/70000 [5:57:07<19:04:38, 1.29s/step] Training: 24%|██▍ | 16851/70000 [5:57:08<19:15:23, 1.30s/step] Training: 24%|██▍ | 16852/70000 [5:57:09<18:45:32, 1.27s/step] Training: 24%|██▍ | 16853/70000 [5:57:10<18:29:12, 1.25s/step] Training: 24%|██▍ | 16854/70000 [5:57:12<19:26:27, 1.32s/step] Training: 24%|██▍ | 16855/70000 [5:57:13<19:29:58, 1.32s/step] Training: 24%|██▍ | 16856/70000 [5:57:14<19:05:35, 1.29s/step] Training: 24%|██▍ | 16857/70000 [5:57:16<19:15:52, 1.31s/step] Training: 24%|██▍ | 16858/70000 [5:57:17<18:45:40, 1.27s/step] Training: 24%|██▍ | 16859/70000 [5:57:18<19:35:38, 1.33s/step] Training: 24%|██▍ | 16860/70000 [5:57:20<18:58:58, 1.29s/step] Training: 24%|██▍ | 16861/70000 [5:57:21<19:09:51, 1.30s/step] Training: 24%|██▍ | 16862/70000 [5:57:22<19:48:42, 1.34s/step] Training: 24%|██▍ | 16863/70000 [5:57:24<19:47:21, 1.34s/step] Training: 24%|██▍ | 16864/70000 [5:57:25<19:44:51, 1.34s/step] Training: 24%|██▍ | 16865/70000 [5:57:26<19:16:08, 1.31s/step] Training: 24%|██▍ | 16866/70000 [5:57:27<18:47:06, 1.27s/step] Training: 24%|██▍ | 16867/70000 [5:57:29<18:44:09, 1.27s/step] Training: 24%|██▍ | 16868/70000 [5:57:30<18:24:22, 1.25s/step] Training: 24%|██▍ | 16869/70000 [5:57:31<18:47:28, 1.27s/step] Training: 24%|██▍ | 16870/70000 [5:57:33<19:05:01, 1.29s/step] Training: 24%|██▍ | 16871/70000 [5:57:34<18:55:22, 1.28s/step] Training: 24%|██▍ | 16872/70000 [5:57:35<19:10:12, 1.30s/step] Training: 24%|██▍ | 16873/70000 [5:57:36<18:47:21, 1.27s/step] Training: 24%|██▍ | 16874/70000 [5:57:38<18:26:15, 1.25s/step] Training: 24%|██▍ | 16875/70000 [5:57:39<18:09:28, 1.23s/step] Training: 24%|██▍ | 16876/70000 [5:57:40<18:35:07, 1.26s/step] Training: 24%|██▍ | 16877/70000 [5:57:41<18:33:00, 1.26s/step] Training: 24%|██▍ | 16878/70000 [5:57:43<19:06:55, 1.30s/step] Training: 24%|██▍ | 16879/70000 [5:57:44<18:48:10, 1.27s/step] Training: 24%|██▍ | 16880/70000 [5:57:45<18:37:22, 1.26s/step] Training: 24%|██▍ | 16881/70000 [5:57:47<18:56:48, 1.28s/step] Training: 24%|██▍ | 16882/70000 [5:57:48<18:32:10, 1.26s/step] Training: 24%|██▍ | 16883/70000 [5:57:49<18:51:30, 1.28s/step] Training: 24%|██▍ | 16884/70000 [5:57:50<18:27:54, 1.25s/step] Training: 24%|██▍ | 16885/70000 [5:57:51<18:17:26, 1.24s/step] Training: 24%|██▍ | 16886/70000 [5:57:53<18:42:39, 1.27s/step] Training: 24%|██▍ | 16887/70000 [5:57:54<19:03:21, 1.29s/step] Training: 24%|██▍ | 16888/70000 [5:57:55<18:42:39, 1.27s/step] Training: 24%|██▍ | 16889/70000 [5:57:57<18:59:51, 1.29s/step] Training: 24%|██▍ | 16890/70000 [5:57:58<18:34:58, 1.26s/step] Training: 24%|██▍ | 16891/70000 [5:57:59<18:21:37, 1.24s/step] Training: 24%|██▍ | 16892/70000 [5:58:00<18:05:36, 1.23s/step] Training: 24%|██▍ | 16893/70000 [5:58:02<18:32:17, 1.26s/step] Training: 24%|██▍ | 16894/70000 [5:58:03<18:52:10, 1.28s/step] Training: 24%|██▍ | 16895/70000 [5:58:04<19:36:17, 1.33s/step] Training: 24%|██▍ | 16896/70000 [5:58:06<19:37:29, 1.33s/step] Training: 24%|██▍ | 16897/70000 [5:58:07<19:11:37, 1.30s/step] Training: 24%|██▍ | 16898/70000 [5:58:08<18:42:29, 1.27s/step] Training: 24%|██▍ | 16899/70000 [5:58:09<18:35:16, 1.26s/step] Training: 24%|██▍ | 16900/70000 [5:58:11<18:20:00, 1.24s/step]INFO 2026-03-13 02:08:03 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.32 loss:0.095 grdn:9.650 lr:2.2e-05 updt_s:1.255 data_s:0.018 Training: 24%|██▍ | 16901/70000 [5:58:12<18:42:23, 1.27s/step] Training: 24%|██▍ | 16902/70000 [5:58:13<19:01:38, 1.29s/step] Training: 24%|██▍ | 16903/70000 [5:58:15<19:01:20, 1.29s/step] Training: 24%|██▍ | 16904/70000 [5:58:16<19:10:20, 1.30s/step] Training: 24%|██▍ | 16905/70000 [5:58:17<18:51:06, 1.28s/step] Training: 24%|██▍ | 16906/70000 [5:58:18<18:29:44, 1.25s/step] Training: 24%|██▍ | 16907/70000 [5:58:20<18:12:40, 1.23s/step] Training: 24%|██▍ | 16908/70000 [5:58:21<18:31:49, 1.26s/step] Training: 24%|██▍ | 16909/70000 [5:58:22<18:29:19, 1.25s/step] Training: 24%|██▍ | 16910/70000 [5:58:23<18:59:46, 1.29s/step] Training: 24%|██▍ | 16911/70000 [5:58:25<19:16:42, 1.31s/step] Training: 24%|██▍ | 16912/70000 [5:58:26<19:35:26, 1.33s/step] Training: 24%|██▍ | 16913/70000 [5:58:28<19:41:02, 1.33s/step] Training: 24%|██▍ | 16914/70000 [5:58:29<19:03:44, 1.29s/step] Training: 24%|██▍ | 16915/70000 [5:58:30<19:14:03, 1.30s/step] Training: 24%|██▍ | 16916/70000 [5:58:31<18:43:17, 1.27s/step] Training: 24%|██▍ | 16917/70000 [5:58:32<18:28:48, 1.25s/step] Training: 24%|██▍ | 16918/70000 [5:58:34<18:47:03, 1.27s/step] Training: 24%|██▍ | 16919/70000 [5:58:35<19:06:21, 1.30s/step] Training: 24%|██▍ | 16920/70000 [5:58:36<18:49:21, 1.28s/step] Training: 24%|██▍ | 16921/70000 [5:58:38<19:06:56, 1.30s/step] Training: 24%|██▍ | 16922/70000 [5:58:39<18:38:49, 1.26s/step] Training: 24%|██▍ | 16923/70000 [5:58:40<18:31:48, 1.26s/step] Training: 24%|██▍ | 16924/70000 [5:58:41<18:14:56, 1.24s/step] Training: 24%|██▍ | 16925/70000 [5:58:43<18:37:53, 1.26s/step] Training: 24%|██▍ | 16926/70000 [5:58:44<18:54:39, 1.28s/step] Training: 24%|██▍ | 16927/70000 [5:58:45<19:08:49, 1.30s/step] Training: 24%|██▍ | 16928/70000 [5:58:47<19:49:23, 1.34s/step] Training: 24%|██▍ | 16929/70000 [5:58:48<19:21:12, 1.31s/step] Training: 24%|██▍ | 16930/70000 [5:58:49<18:48:11, 1.28s/step] Training: 24%|██▍ | 16931/70000 [5:58:50<18:38:07, 1.26s/step] Training: 24%|██▍ | 16932/70000 [5:58:52<18:19:49, 1.24s/step] Training: 24%|██▍ | 16933/70000 [5:58:53<18:41:51, 1.27s/step] Training: 24%|██▍ | 16934/70000 [5:58:54<18:59:49, 1.29s/step] Training: 24%|██▍ | 16935/70000 [5:58:55<18:44:00, 1.27s/step] Training: 24%|██▍ | 16936/70000 [5:58:57<19:29:09, 1.32s/step] Training: 24%|██▍ | 16937/70000 [5:58:58<19:05:56, 1.30s/step] Training: 24%|██▍ | 16938/70000 [5:58:59<18:37:38, 1.26s/step] Training: 24%|██▍ | 16939/70000 [5:59:01<18:17:37, 1.24s/step] Training: 24%|██▍ | 16940/70000 [5:59:02<18:36:55, 1.26s/step] Training: 24%|██▍ | 16941/70000 [5:59:03<18:32:47, 1.26s/step] Training: 24%|██▍ | 16942/70000 [5:59:04<19:03:56, 1.29s/step] Training: 24%|██▍ | 16943/70000 [5:59:06<18:44:18, 1.27s/step] Training: 24%|██▍ | 16944/70000 [5:59:07<19:10:10, 1.30s/step] Training: 24%|██▍ | 16945/70000 [5:59:08<18:41:54, 1.27s/step] Training: 24%|██▍ | 16946/70000 [5:59:10<19:03:09, 1.29s/step] Training: 24%|██▍ | 16947/70000 [5:59:11<18:37:17, 1.26s/step] Training: 24%|██▍ | 16948/70000 [5:59:12<18:18:21, 1.24s/step] Training: 24%|██▍ | 16949/70000 [5:59:13<18:08:34, 1.23s/step] Training: 24%|██▍ | 16950/70000 [5:59:15<18:34:51, 1.26s/step] Training: 24%|██▍ | 16951/70000 [5:59:16<18:55:38, 1.28s/step] Training: 24%|██▍ | 16952/70000 [5:59:17<18:54:37, 1.28s/step] Training: 24%|██▍ | 16953/70000 [5:59:18<19:07:08, 1.30s/step] Training: 24%|██▍ | 16954/70000 [5:59:20<18:39:54, 1.27s/step] Training: 24%|██▍ | 16955/70000 [5:59:21<18:27:35, 1.25s/step] Training: 24%|██▍ | 16956/70000 [5:59:22<18:10:48, 1.23s/step] Training: 24%|██▍ | 16957/70000 [5:59:23<18:36:55, 1.26s/step] Training: 24%|██▍ | 16958/70000 [5:59:25<18:56:07, 1.29s/step] Training: 24%|██▍ | 16959/70000 [5:59:26<19:08:07, 1.30s/step] Training: 24%|██▍ | 16960/70000 [5:59:27<19:24:01, 1.32s/step] Training: 24%|██▍ | 16961/70000 [5:59:29<18:59:05, 1.29s/step] Training: 24%|██▍ | 16962/70000 [5:59:30<18:32:09, 1.26s/step] Training: 24%|██▍ | 16963/70000 [5:59:31<18:21:13, 1.25s/step] Training: 24%|██▍ | 16964/70000 [5:59:32<18:05:31, 1.23s/step] Training: 24%|██▍ | 16965/70000 [5:59:34<18:34:27, 1.26s/step] Training: 24%|██▍ | 16966/70000 [5:59:35<18:54:40, 1.28s/step] Training: 24%|██▍ | 16967/70000 [5:59:36<18:38:31, 1.27s/step] Training: 24%|██▍ | 16968/70000 [5:59:38<18:58:25, 1.29s/step] Training: 24%|██▍ | 16969/70000 [5:59:39<19:13:55, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=41529 Training: 24%|██▍ | 16970/70000 [5:59:40<18:43:57, 1.27s/step] Training: 24%|██▍ | 16971/70000 [5:59:41<18:58:11, 1.29s/step] Training: 24%|██▍ | 16972/70000 [5:59:43<18:31:58, 1.26s/step] Training: 24%|██▍ | 16973/70000 [5:59:44<18:26:34, 1.25s/step] Training: 24%|██▍ | 16974/70000 [5:59:45<18:54:30, 1.28s/step] Training: 24%|██▍ | 16975/70000 [5:59:46<18:36:02, 1.26s/step] Training: 24%|██▍ | 16976/70000 [5:59:48<19:15:53, 1.31s/step] Training: 24%|██▍ | 16977/70000 [5:59:49<19:13:54, 1.31s/step] Training: 24%|██▍ | 16978/70000 [5:59:50<19:17:47, 1.31s/step] Training: 24%|██▍ | 16979/70000 [5:59:52<19:24:06, 1.32s/step] Training: 24%|██▍ | 16980/70000 [5:59:53<18:50:33, 1.28s/step] Training: 24%|██▍ | 16981/70000 [5:59:54<18:34:19, 1.26s/step] Training: 24%|██▍ | 16982/70000 [5:59:55<18:50:35, 1.28s/step] Training: 24%|██▍ | 16983/70000 [5:59:57<19:02:03, 1.29s/step] Training: 24%|██▍ | 16984/70000 [5:59:58<18:40:12, 1.27s/step] Training: 24%|██▍ | 16985/70000 [5:59:59<19:06:06, 1.30s/step] Training: 24%|██▍ | 16986/70000 [6:00:01<18:35:54, 1.26s/step] Training: 24%|██▍ | 16987/70000 [6:00:02<18:29:41, 1.26s/step] Training: 24%|██▍ | 16988/70000 [6:00:03<18:10:12, 1.23s/step] Training: 24%|██▍ | 16989/70000 [6:00:04<18:37:54, 1.27s/step] Training: 24%|██▍ | 16990/70000 [6:00:06<18:57:08, 1.29s/step] Training: 24%|██▍ | 16991/70000 [6:00:07<19:07:49, 1.30s/step] Training: 24%|██▍ | 16992/70000 [6:00:08<19:15:42, 1.31s/step] Training: 24%|██▍ | 16993/70000 [6:00:10<19:39:27, 1.34s/step] Training: 24%|██▍ | 16994/70000 [6:00:11<18:59:14, 1.29s/step] Training: 24%|██▍ | 16995/70000 [6:00:12<18:41:10, 1.27s/step] Training: 24%|██▍ | 16996/70000 [6:00:13<18:20:48, 1.25s/step] Training: 24%|██▍ | 16997/70000 [6:00:15<18:45:40, 1.27s/step] Training: 24%|██▍ | 16998/70000 [6:00:16<19:01:56, 1.29s/step] Training: 24%|██▍ | 16999/70000 [6:00:17<18:44:10, 1.27s/step] Training: 24%|██▍ | 17000/70000 [6:00:19<19:04:14, 1.30s/step]INFO 2026-03-13 02:10:11 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.41 loss:0.091 grdn:9.973 lr:2.2e-05 updt_s:1.259 data_s:0.018 Training: 24%|██▍ | 17001/70000 [6:00:20<18:47:04, 1.28s/step] Training: 24%|██▍ | 17002/70000 [6:00:21<19:03:20, 1.29s/step] Training: 24%|██▍ | 17003/70000 [6:00:22<19:13:10, 1.31s/step] Training: 24%|██▍ | 17004/70000 [6:00:24<18:42:55, 1.27s/step] Training: 24%|██▍ | 17005/70000 [6:00:25<18:31:15, 1.26s/step] Training: 24%|██▍ | 17006/70000 [6:00:26<18:58:21, 1.29s/step] Training: 24%|██▍ | 17007/70000 [6:00:27<18:38:05, 1.27s/step] Training: 24%|██▍ | 17008/70000 [6:00:29<18:35:01, 1.26s/step] Training: 24%|██▍ | 17009/70000 [6:00:30<18:16:04, 1.24s/step] Training: 24%|██▍ | 17010/70000 [6:00:31<18:43:27, 1.27s/step] Training: 24%|██▍ | 17011/70000 [6:00:33<19:03:01, 1.29s/step] Training: 24%|██▍ | 17012/70000 [6:00:34<18:35:24, 1.26s/step] Training: 24%|██▍ | 17013/70000 [6:00:35<18:21:28, 1.25s/step] Training: 24%|██▍ | 17014/70000 [6:00:36<18:44:29, 1.27s/step] Training: 24%|██▍ | 17015/70000 [6:00:38<18:57:49, 1.29s/step] Training: 24%|██▍ | 17016/70000 [6:00:39<18:43:57, 1.27s/step] Training: 24%|██▍ | 17017/70000 [6:00:40<19:02:41, 1.29s/step] Training: 24%|██▍ | 17018/70000 [6:00:41<18:42:58, 1.27s/step] Training: 24%|██▍ | 17019/70000 [6:00:43<18:35:16, 1.26s/step] Training: 24%|██▍ | 17020/70000 [6:00:44<18:16:18, 1.24s/step] Training: 24%|██▍ | 17021/70000 [6:00:45<18:43:02, 1.27s/step] Training: 24%|██▍ | 17022/70000 [6:00:47<19:03:15, 1.29s/step] Training: 24%|██▍ | 17023/70000 [6:00:48<19:11:23, 1.30s/step] Training: 24%|██▍ | 17024/70000 [6:00:49<18:40:35, 1.27s/step] Training: 24%|██▍ | 17025/70000 [6:00:50<18:55:19, 1.29s/step] Training: 24%|██▍ | 17026/70000 [6:00:52<18:51:56, 1.28s/step] Training: 24%|██▍ | 17027/70000 [6:00:53<18:30:24, 1.26s/step] Training: 24%|██▍ | 17028/70000 [6:00:54<18:12:46, 1.24s/step] Training: 24%|██▍ | 17029/70000 [6:00:55<18:37:23, 1.27s/step] Training: 24%|██▍ | 17030/70000 [6:00:57<18:55:26, 1.29s/step] Training: 24%|██▍ | 17031/70000 [6:00:58<18:40:01, 1.27s/step] Training: 24%|██▍ | 17032/70000 [6:00:59<18:19:20, 1.25s/step] Training: 24%|██▍ | 17033/70000 [6:01:00<18:19:07, 1.25s/step] Training: 24%|██▍ | 17034/70000 [6:01:02<18:06:26, 1.23s/step] Training: 24%|██▍ | 17035/70000 [6:01:03<19:06:19, 1.30s/step] Training: 24%|██▍ | 17036/70000 [6:01:04<18:37:01, 1.27s/step] Training: 24%|██▍ | 17037/70000 [6:01:05<18:23:49, 1.25s/step] Training: 24%|██▍ | 17038/70000 [6:01:07<18:55:18, 1.29s/step] Training: 24%|██▍ | 17039/70000 [6:01:08<18:36:38, 1.27s/step] Training: 24%|██▍ | 17040/70000 [6:01:09<18:29:12, 1.26s/step] Training: 24%|██▍ | 17041/70000 [6:01:10<18:11:00, 1.24s/step] Training: 24%|██▍ | 17042/70000 [6:01:12<18:35:49, 1.26s/step] Training: 24%|██▍ | 17043/70000 [6:01:13<19:13:12, 1.31s/step] Training: 24%|██▍ | 17044/70000 [6:01:14<18:41:05, 1.27s/step] Training: 24%|██▍ | 17045/70000 [6:01:16<18:30:29, 1.26s/step] Training: 24%|██▍ | 17046/70000 [6:01:17<18:48:56, 1.28s/step] Training: 24%|██▍ | 17047/70000 [6:01:18<19:03:18, 1.30s/step] Training: 24%|██▍ | 17048/70000 [6:01:19<18:40:11, 1.27s/step] Training: 24%|██▍ | 17049/70000 [6:01:21<18:55:48, 1.29s/step] Training: 24%|██▍ | 17050/70000 [6:01:22<18:31:40, 1.26s/step] Training: 24%|██▍ | 17051/70000 [6:01:23<18:24:21, 1.25s/step] Training: 24%|██▍ | 17052/70000 [6:01:25<18:45:58, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=33818 Training: 24%|██▍ | 17053/70000 [6:01:26<18:20:57, 1.25s/step] Training: 24%|██▍ | 17054/70000 [6:01:27<19:18:43, 1.31s/step] Training: 24%|██▍ | 17055/70000 [6:01:29<19:23:01, 1.32s/step] Training: 24%|██▍ | 17056/70000 [6:01:30<19:25:56, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=33818 Training: 24%|██▍ | 17057/70000 [6:01:31<18:59:47, 1.29s/step] Training: 24%|██▍ | 17058/70000 [6:01:32<18:33:10, 1.26s/step] Training: 24%|██▍ | 17059/70000 [6:01:34<18:58:33, 1.29s/step] Training: 24%|██▍ | 17060/70000 [6:01:35<18:29:23, 1.26s/step] Training: 24%|██▍ | 17061/70000 [6:01:36<18:11:07, 1.24s/step] Training: 24%|██▍ | 17062/70000 [6:01:37<18:38:25, 1.27s/step] Training: 24%|██▍ | 17063/70000 [6:01:39<18:26:37, 1.25s/step] Training: 24%|██▍ | 17064/70000 [6:01:40<18:47:36, 1.28s/step] Training: 24%|██▍ | 17065/70000 [6:01:41<18:34:37, 1.26s/step] Training: 24%|██▍ | 17066/70000 [6:01:42<18:16:10, 1.24s/step] Training: 24%|██▍ | 17067/70000 [6:01:44<18:36:44, 1.27s/step] Training: 24%|██▍ | 17068/70000 [6:01:45<18:54:20, 1.29s/step] Training: 24%|██▍ | 17069/70000 [6:01:46<18:30:55, 1.26s/step] Training: 24%|██▍ | 17070/70000 [6:01:48<19:00:05, 1.29s/step] Training: 24%|██▍ | 17071/70000 [6:01:49<18:36:09, 1.27s/step] Training: 24%|██▍ | 17072/70000 [6:01:50<18:27:32, 1.26s/step] Training: 24%|██▍ | 17073/70000 [6:01:51<18:09:46, 1.24s/step] Training: 24%|██▍ | 17074/70000 [6:01:53<18:35:03, 1.26s/step] Training: 24%|██▍ | 17075/70000 [6:01:54<18:54:32, 1.29s/step] Training: 24%|██▍ | 17076/70000 [6:01:55<19:08:48, 1.30s/step] Training: 24%|██▍ | 17077/70000 [6:01:56<18:49:23, 1.28s/step] Training: 24%|██▍ | 17078/70000 [6:01:58<18:40:45, 1.27s/step] Training: 24%|██▍ | 17079/70000 [6:01:59<18:57:19, 1.29s/step] Training: 24%|██▍ | 17080/70000 [6:02:00<18:36:27, 1.27s/step] Training: 24%|██▍ | 17081/70000 [6:02:02<18:53:14, 1.28s/step] Training: 24%|██▍ | 17082/70000 [6:02:03<18:28:13, 1.26s/step] Training: 24%|██▍ | 17083/70000 [6:02:04<18:21:48, 1.25s/step] Training: 24%|██▍ | 17084/70000 [6:02:05<18:07:07, 1.23s/step] Training: 24%|██▍ | 17085/70000 [6:02:06<17:55:04, 1.22s/step] Training: 24%|██▍ | 17086/70000 [6:02:08<19:01:29, 1.29s/step] Training: 24%|██▍ | 17087/70000 [6:02:09<18:35:25, 1.26s/step] Training: 24%|██▍ | 17088/70000 [6:02:10<19:23:05, 1.32s/step] Training: 24%|██▍ | 17089/70000 [6:02:12<18:53:56, 1.29s/step] Training: 24%|██▍ | 17090/70000 [6:02:13<18:29:32, 1.26s/step] Training: 24%|██▍ | 17091/70000 [6:02:14<18:15:14, 1.24s/step] Training: 24%|██▍ | 17092/70000 [6:02:15<18:16:44, 1.24s/step] Training: 24%|██▍ | 17093/70000 [6:02:16<18:01:50, 1.23s/step] Training: 24%|██▍ | 17094/70000 [6:02:18<18:31:08, 1.26s/step] Training: 24%|██▍ | 17095/70000 [6:02:19<18:12:14, 1.24s/step] Training: 24%|██▍ | 17096/70000 [6:02:20<19:09:11, 1.30s/step] Training: 24%|██▍ | 17097/70000 [6:02:22<18:49:53, 1.28s/step] Training: 24%|██▍ | 17098/70000 [6:02:23<18:27:24, 1.26s/step] Training: 24%|██▍ | 17099/70000 [6:02:24<18:10:05, 1.24s/step] Training: 24%|██▍ | 17100/70000 [6:02:25<18:29:24, 1.26s/step]INFO 2026-03-13 02:12:18 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.49 loss:0.094 grdn:10.195 lr:2.2e-05 updt_s:1.248 data_s:0.019 Training: 24%|██▍ | 17101/70000 [6:02:27<18:20:37, 1.25s/step] Training: 24%|██▍ | 17102/70000 [6:02:28<18:55:58, 1.29s/step] Training: 24%|██▍ | 17103/70000 [6:02:29<18:29:36, 1.26s/step] Training: 24%|██▍ | 17104/70000 [6:02:30<18:25:00, 1.25s/step] Training: 24%|██▍ | 17105/70000 [6:02:32<18:47:24, 1.28s/step] Training: 24%|██▍ | 17106/70000 [6:02:33<18:24:30, 1.25s/step] Training: 24%|██▍ | 17107/70000 [6:02:34<18:07:20, 1.23s/step] Training: 24%|██▍ | 17108/70000 [6:02:35<18:13:30, 1.24s/step] Training: 24%|██▍ | 17109/70000 [6:02:37<18:41:38, 1.27s/step] Training: 24%|██▍ | 17110/70000 [6:02:38<18:34:13, 1.26s/step] Training: 24%|██▍ | 17111/70000 [6:02:39<18:14:00, 1.24s/step] Training: 24%|██▍ | 17112/70000 [6:02:41<18:32:44, 1.26s/step] Training: 24%|██▍ | 17113/70000 [6:02:42<18:50:39, 1.28s/step] Training: 24%|██▍ | 17114/70000 [6:02:43<18:26:14, 1.26s/step] Training: 24%|██▍ | 17115/70000 [6:02:44<18:08:15, 1.23s/step] Training: 24%|██▍ | 17116/70000 [6:02:45<18:01:00, 1.23s/step] Training: 24%|██▍ | 17117/70000 [6:02:47<18:21:16, 1.25s/step] Training: 24%|██▍ | 17118/70000 [6:02:48<19:15:39, 1.31s/step] Training: 24%|██▍ | 17119/70000 [6:02:49<18:43:48, 1.28s/step] Training: 24%|██▍ | 17120/70000 [6:02:51<18:58:54, 1.29s/step] Training: 24%|██▍ | 17121/70000 [6:02:52<18:44:39, 1.28s/step] Training: 24%|██▍ | 17122/70000 [6:02:53<18:22:32, 1.25s/step] Training: 24%|██▍ | 17123/70000 [6:02:54<18:05:06, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=24638 Training: 24%|██▍ | 17124/70000 [6:02:56<18:29:15, 1.26s/step] Training: 24%|██▍ | 17125/70000 [6:02:57<18:51:36, 1.28s/step] Training: 24%|██▍ | 17126/70000 [6:02:58<19:03:52, 1.30s/step] Training: 24%|██▍ | 17127/70000 [6:03:00<18:34:40, 1.26s/step] Training: 24%|██▍ | 17128/70000 [6:03:01<18:49:58, 1.28s/step] Training: 24%|██▍ | 17129/70000 [6:03:02<18:33:20, 1.26s/step] Training: 24%|██▍ | 17130/70000 [6:03:03<18:14:01, 1.24s/step] Training: 24%|██▍ | 17131/70000 [6:03:04<18:00:15, 1.23s/step] Training: 24%|██▍ | 17132/70000 [6:03:06<18:25:36, 1.25s/step] Training: 24%|██▍ | 17133/70000 [6:03:07<18:45:29, 1.28s/step] Training: 24%|██▍ | 17134/70000 [6:03:08<19:09:51, 1.31s/step] Training: 24%|██▍ | 17135/70000 [6:03:10<18:39:26, 1.27s/step] Training: 24%|██▍ | 17136/70000 [6:03:11<19:04:29, 1.30s/step] Training: 24%|██▍ | 17137/70000 [6:03:12<19:13:27, 1.31s/step] Training: 24%|██▍ | 17138/70000 [6:03:14<18:42:59, 1.27s/step] Training: 24%|██▍ | 17139/70000 [6:03:15<18:19:25, 1.25s/step] Training: 24%|██▍ | 17140/70000 [6:03:16<18:39:31, 1.27s/step] Training: 24%|██▍ | 17141/70000 [6:03:17<18:56:07, 1.29s/step] Training: 24%|██▍ | 17142/70000 [6:03:19<18:51:38, 1.28s/step] Training: 24%|██▍ | 17143/70000 [6:03:20<18:25:51, 1.26s/step] Training: 24%|██▍ | 17144/70000 [6:03:21<18:47:11, 1.28s/step] Training: 24%|██▍ | 17145/70000 [6:03:22<19:00:47, 1.29s/step] Training: 24%|██▍ | 17146/70000 [6:03:24<18:33:31, 1.26s/step] Training: 24%|██▍ | 17147/70000 [6:03:25<18:13:59, 1.24s/step] Training: 24%|██▍ | 17148/70000 [6:03:26<18:05:11, 1.23s/step] Training: 24%|██▍ | 17149/70000 [6:03:27<18:36:41, 1.27s/step] Training: 24%|██▍ | 17150/70000 [6:03:29<18:17:25, 1.25s/step] Training: 25%|██▍ | 17151/70000 [6:03:30<18:34:01, 1.26s/step] Training: 25%|██▍ | 17152/70000 [6:03:31<18:54:02, 1.29s/step] Training: 25%|██▍ | 17153/70000 [6:03:33<18:39:47, 1.27s/step] Training: 25%|██▍ | 17154/70000 [6:03:34<18:18:17, 1.25s/step] Training: 25%|██▍ | 17155/70000 [6:03:35<18:04:06, 1.23s/step] Training: 25%|██▍ | 17156/70000 [6:03:36<18:29:09, 1.26s/step] Training: 25%|██▍ | 17157/70000 [6:03:38<18:46:08, 1.28s/step] Training: 25%|██▍ | 17158/70000 [6:03:39<18:59:39, 1.29s/step] Training: 25%|██▍ | 17159/70000 [6:03:40<18:32:53, 1.26s/step] Training: 25%|██▍ | 17160/70000 [6:03:41<18:49:27, 1.28s/step] Training: 25%|██▍ | 17161/70000 [6:03:43<18:33:38, 1.26s/step] Training: 25%|██▍ | 17162/70000 [6:03:44<18:15:37, 1.24s/step] Training: 25%|██▍ | 17163/70000 [6:03:45<18:01:31, 1.23s/step] Training: 25%|██▍ | 17164/70000 [6:03:46<18:31:20, 1.26s/step] Training: 25%|██▍ | 17165/70000 [6:03:48<18:59:20, 1.29s/step] Training: 25%|██▍ | 17166/70000 [6:03:49<19:17:54, 1.31s/step] Training: 25%|██▍ | 17167/70000 [6:03:50<18:44:24, 1.28s/step] Training: 25%|██▍ | 17168/70000 [6:03:52<19:10:38, 1.31s/step] Training: 25%|██▍ | 17169/70000 [6:03:53<19:19:09, 1.32s/step] Training: 25%|██▍ | 17170/70000 [6:03:54<18:47:31, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=28547 Training: 25%|██▍ | 17171/70000 [6:03:55<18:23:14, 1.25s/step] Training: 25%|██▍ | 17172/70000 [6:03:57<18:16:11, 1.25s/step] Training: 25%|██▍ | 17173/70000 [6:03:58<18:10:41, 1.24s/step] Training: 25%|██▍ | 17174/70000 [6:03:59<19:01:31, 1.30s/step] Training: 25%|██▍ | 17175/70000 [6:04:00<18:31:26, 1.26s/step] Training: 25%|██▍ | 17176/70000 [6:04:02<18:48:50, 1.28s/step] Training: 25%|██▍ | 17177/70000 [6:04:03<19:04:37, 1.30s/step] Training: 25%|██▍ | 17178/70000 [6:04:04<18:35:38, 1.27s/step] Training: 25%|██▍ | 17179/70000 [6:04:05<18:15:16, 1.24s/step] Training: 25%|██▍ | 17180/70000 [6:04:07<18:03:25, 1.23s/step] Training: 25%|██▍ | 17181/70000 [6:04:08<17:52:24, 1.22s/step] Training: 25%|██▍ | 17182/70000 [6:04:09<19:11:49, 1.31s/step] Training: 25%|██▍ | 17183/70000 [6:04:11<18:40:13, 1.27s/step] Training: 25%|██▍ | 17184/70000 [6:04:12<19:07:51, 1.30s/step] Training: 25%|██▍ | 17185/70000 [6:04:13<18:48:55, 1.28s/step] Training: 25%|██▍ | 17186/70000 [6:04:14<18:24:28, 1.25s/step] Training: 25%|██▍ | 17187/70000 [6:04:16<18:08:55, 1.24s/step] Training: 25%|██▍ | 17188/70000 [6:04:17<18:30:00, 1.26s/step] Training: 25%|██▍ | 17189/70000 [6:04:18<18:47:57, 1.28s/step] Training: 25%|██▍ | 17190/70000 [6:04:20<19:05:47, 1.30s/step] Training: 25%|██▍ | 17191/70000 [6:04:21<18:36:30, 1.27s/step] Training: 25%|██▍ | 17192/70000 [6:04:22<18:53:23, 1.29s/step] Training: 25%|██▍ | 17193/70000 [6:04:23<18:32:16, 1.26s/step] Training: 25%|██▍ | 17194/70000 [6:04:25<18:13:08, 1.24s/step] Training: 25%|██▍ | 17195/70000 [6:04:26<17:58:52, 1.23s/step] Training: 25%|██▍ | 17196/70000 [6:04:27<18:26:08, 1.26s/step] Training: 25%|██▍ | 17197/70000 [6:04:28<18:12:08, 1.24s/step] Training: 25%|██▍ | 17198/70000 [6:04:30<18:46:01, 1.28s/step] Training: 25%|██▍ | 17199/70000 [6:04:31<18:24:13, 1.25s/step] Training: 25%|██▍ | 17200/70000 [6:04:32<18:49:16, 1.28s/step]INFO 2026-03-13 02:14:24 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.58 loss:0.093 grdn:9.613 lr:2.2e-05 updt_s:1.246 data_s:0.019 Training: 25%|██▍ | 17201/70000 [6:04:33<19:03:14, 1.30s/step] Training: 25%|██▍ | 17202/70000 [6:04:35<18:35:34, 1.27s/step] Training: 25%|██▍ | 17203/70000 [6:04:36<18:15:26, 1.24s/step] Training: 25%|██▍ | 17204/70000 [6:04:37<18:11:45, 1.24s/step] Training: 25%|██▍ | 17205/70000 [6:04:38<18:34:10, 1.27s/step] Training: 25%|██▍ | 17206/70000 [6:04:40<18:47:02, 1.28s/step] Training: 25%|██▍ | 17207/70000 [6:04:41<18:20:28, 1.25s/step] Training: 25%|██▍ | 17208/70000 [6:04:42<18:41:56, 1.28s/step] Training: 25%|██▍ | 17209/70000 [6:04:44<18:59:08, 1.29s/step] Training: 25%|██▍ | 17210/70000 [6:04:45<18:31:54, 1.26s/step] Training: 25%|██▍ | 17211/70000 [6:04:46<18:11:28, 1.24s/step] Training: 25%|██▍ | 17212/70000 [6:04:47<18:02:12, 1.23s/step] Training: 25%|██▍ | 17213/70000 [6:04:48<17:57:22, 1.22s/step] Training: 25%|██▍ | 17214/70000 [6:04:50<18:27:44, 1.26s/step] Training: 25%|██▍ | 17215/70000 [6:04:51<18:50:37, 1.29s/step] Training: 25%|██▍ | 17216/70000 [6:04:52<19:10:32, 1.31s/step] Training: 25%|██▍ | 17217/70000 [6:04:54<18:50:42, 1.29s/step] Training: 25%|██▍ | 17218/70000 [6:04:55<18:26:05, 1.26s/step] Training: 25%|██▍ | 17219/70000 [6:04:56<18:08:50, 1.24s/step] Training: 25%|██▍ | 17220/70000 [6:04:57<18:31:07, 1.26s/step] Training: 25%|██▍ | 17221/70000 [6:04:59<18:49:35, 1.28s/step] Training: 25%|██▍ | 17222/70000 [6:05:00<19:05:53, 1.30s/step] Training: 25%|██▍ | 17223/70000 [6:05:01<18:54:08, 1.29s/step] Training: 25%|██▍ | 17224/70000 [6:05:03<19:04:22, 1.30s/step] Training: 25%|██▍ | 17225/70000 [6:05:04<18:39:57, 1.27s/step] Training: 25%|██▍ | 17226/70000 [6:05:05<18:18:36, 1.25s/step] Training: 25%|██▍ | 17227/70000 [6:05:06<18:02:51, 1.23s/step] Training: 25%|██▍ | 17228/70000 [6:05:08<18:29:29, 1.26s/step] Training: 25%|██▍ | 17229/70000 [6:05:09<18:48:28, 1.28s/step] Training: 25%|██▍ | 17230/70000 [6:05:10<19:13:52, 1.31s/step] Training: 25%|██▍ | 17231/70000 [6:05:11<18:41:46, 1.28s/step] Training: 25%|██▍ | 17232/70000 [6:05:13<18:57:36, 1.29s/step] Training: 25%|██▍ | 17233/70000 [6:05:14<18:49:47, 1.28s/step] Training: 25%|██▍ | 17234/70000 [6:05:15<18:57:01, 1.29s/step] Training: 25%|██▍ | 17235/70000 [6:05:17<18:31:15, 1.26s/step] Training: 25%|██▍ | 17236/70000 [6:05:18<18:20:29, 1.25s/step] Training: 25%|██▍ | 17237/70000 [6:05:19<18:40:00, 1.27s/step] Training: 25%|██▍ | 17238/70000 [6:05:20<18:35:07, 1.27s/step] Training: 25%|██▍ | 17239/70000 [6:05:22<19:00:31, 1.30s/step] Training: 25%|██▍ | 17240/70000 [6:05:23<19:08:26, 1.31s/step] Training: 25%|██▍ | 17241/70000 [6:05:24<18:37:20, 1.27s/step] Training: 25%|██▍ | 17242/70000 [6:05:25<18:16:47, 1.25s/step] Training: 25%|██▍ | 17243/70000 [6:05:27<18:01:44, 1.23s/step] Training: 25%|██▍ | 17244/70000 [6:05:28<17:56:56, 1.22s/step] Training: 25%|██▍ | 17245/70000 [6:05:29<17:52:36, 1.22s/step] Training: 25%|██▍ | 17246/70000 [6:05:30<18:22:15, 1.25s/step] Training: 25%|██▍ | 17247/70000 [6:05:32<18:05:04, 1.23s/step] Training: 25%|██▍ | 17248/70000 [6:05:33<18:58:56, 1.30s/step] Training: 25%|██▍ | 17249/70000 [6:05:34<19:00:34, 1.30s/step] Training: 25%|██▍ | 17250/70000 [6:05:36<18:31:54, 1.26s/step] Training: 25%|██▍ | 17251/70000 [6:05:37<18:12:21, 1.24s/step] Training: 25%|██▍ | 17252/70000 [6:05:38<18:34:47, 1.27s/step] Training: 25%|██▍ | 17253/70000 [6:05:39<18:50:27, 1.29s/step] Training: 25%|██▍ | 17254/70000 [6:05:41<19:04:11, 1.30s/step] Training: 25%|██▍ | 17255/70000 [6:05:42<18:34:16, 1.27s/step] Training: 25%|██▍ | 17256/70000 [6:05:43<19:19:26, 1.32s/step] Training: 25%|██▍ | 17257/70000 [6:05:45<19:23:12, 1.32s/step] Training: 25%|██▍ | 17258/70000 [6:05:46<18:48:11, 1.28s/step] Training: 25%|██▍ | 17259/70000 [6:05:47<18:23:22, 1.26s/step] Training: 25%|██▍ | 17260/70000 [6:05:48<18:40:30, 1.27s/step] Training: 25%|██▍ | 17261/70000 [6:05:50<18:52:54, 1.29s/step] Training: 25%|██▍ | 17262/70000 [6:05:51<19:13:11, 1.31s/step] Training: 25%|██▍ | 17263/70000 [6:05:52<18:41:29, 1.28s/step] Training: 25%|██▍ | 17264/70000 [6:05:53<18:27:28, 1.26s/step] Training: 25%|██▍ | 17265/70000 [6:05:55<18:45:32, 1.28s/step] Training: 25%|██▍ | 17266/70000 [6:05:56<18:22:35, 1.25s/step] Training: 25%|██▍ | 17267/70000 [6:05:57<18:06:36, 1.24s/step] Training: 25%|██▍ | 17268/70000 [6:05:58<18:03:27, 1.23s/step] Training: 25%|██▍ | 17269/70000 [6:06:00<18:25:42, 1.26s/step] Training: 25%|██▍ | 17270/70000 [6:06:01<18:25:29, 1.26s/step] Training: 25%|██▍ | 17271/70000 [6:06:02<18:06:47, 1.24s/step] Training: 25%|██▍ | 17272/70000 [6:06:03<18:15:23, 1.25s/step] Training: 25%|██▍ | 17273/70000 [6:06:05<18:41:08, 1.28s/step] Training: 25%|██▍ | 17274/70000 [6:06:06<18:19:58, 1.25s/step] Training: 25%|██▍ | 17275/70000 [6:06:07<18:02:23, 1.23s/step] Training: 25%|██▍ | 17276/70000 [6:06:08<18:03:23, 1.23s/step] Training: 25%|██▍ | 17277/70000 [6:06:10<17:57:30, 1.23s/step] Training: 25%|██▍ | 17278/70000 [6:06:11<18:31:42, 1.27s/step] Training: 25%|██▍ | 17279/70000 [6:06:12<18:13:29, 1.24s/step] Training: 25%|██▍ | 17280/70000 [6:06:14<18:50:21, 1.29s/step] Training: 25%|██▍ | 17281/70000 [6:06:15<19:02:31, 1.30s/step] Training: 25%|██▍ | 17282/70000 [6:06:16<18:34:15, 1.27s/step] Training: 25%|██▍ | 17283/70000 [6:06:17<18:14:00, 1.25s/step] Training: 25%|██▍ | 17284/70000 [6:06:18<18:02:33, 1.23s/step] Training: 25%|██▍ | 17285/70000 [6:06:20<19:03:46, 1.30s/step] Training: 25%|██▍ | 17286/70000 [6:06:21<19:15:20, 1.32s/step] Training: 25%|██▍ | 17287/70000 [6:06:22<18:42:23, 1.28s/step] Training: 25%|██▍ | 17288/70000 [6:06:24<18:56:16, 1.29s/step] Training: 25%|██▍ | 17289/70000 [6:06:25<19:29:49, 1.33s/step] Training: 25%|██▍ | 17290/70000 [6:06:26<18:52:06, 1.29s/step] Training: 25%|██▍ | 17291/70000 [6:06:28<18:25:36, 1.26s/step] Training: 25%|██▍ | 17292/70000 [6:06:29<18:45:04, 1.28s/step] Training: 25%|██▍ | 17293/70000 [6:06:30<18:57:01, 1.29s/step] Training: 25%|██▍ | 17294/70000 [6:06:32<19:15:45, 1.32s/step] Training: 25%|██▍ | 17295/70000 [6:06:33<18:43:11, 1.28s/step] Training: 25%|██▍ | 17296/70000 [6:06:34<19:04:50, 1.30s/step] Training: 25%|██▍ | 17297/70000 [6:06:35<19:01:32, 1.30s/step] Training: 25%|██▍ | 17298/70000 [6:06:37<18:31:17, 1.27s/step] Training: 25%|██▍ | 17299/70000 [6:06:38<18:11:01, 1.24s/step] Training: 25%|██▍ | 17300/70000 [6:06:39<18:07:57, 1.24s/step]INFO 2026-03-13 02:16:31 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.66 loss:0.090 grdn:10.437 lr:2.2e-05 updt_s:1.248 data_s:0.019 Training: 25%|██▍ | 17301/70000 [6:06:40<18:32:30, 1.27s/step] Training: 25%|██▍ | 17302/70000 [6:06:42<18:31:35, 1.27s/step] Training: 25%|██▍ | 17303/70000 [6:06:43<18:11:16, 1.24s/step] Training: 25%|██▍ | 17304/70000 [6:06:44<18:32:32, 1.27s/step] Training: 25%|██▍ | 17305/70000 [6:06:46<18:55:21, 1.29s/step] Training: 25%|██▍ | 17306/70000 [6:06:47<18:24:45, 1.26s/step] Training: 25%|██▍ | 17307/70000 [6:06:48<18:07:36, 1.24s/step] Training: 25%|██▍ | 17308/70000 [6:06:49<18:06:09, 1.24s/step] Training: 25%|██▍ | 17309/70000 [6:06:50<18:02:32, 1.23s/step] Training: 25%|██▍ | 17310/70000 [6:06:52<18:27:11, 1.26s/step] Training: 25%|██▍ | 17311/70000 [6:06:53<18:08:19, 1.24s/step] Training: 25%|██▍ | 17312/70000 [6:06:54<18:42:38, 1.28s/step] Training: 25%|██▍ | 17313/70000 [6:06:56<19:03:23, 1.30s/step] Training: 25%|██▍ | 17314/70000 [6:06:57<18:30:53, 1.27s/step] Training: 25%|██▍ | 17315/70000 [6:06:58<18:10:28, 1.24s/step] Training: 25%|██▍ | 17316/70000 [6:06:59<17:57:13, 1.23s/step] Training: 25%|██▍ | 17317/70000 [6:07:01<18:59:39, 1.30s/step] Training: 25%|██▍ | 17318/70000 [6:07:02<19:09:59, 1.31s/step] Training: 25%|██▍ | 17319/70000 [6:07:03<18:38:31, 1.27s/step] Training: 25%|██▍ | 17320/70000 [6:07:04<18:52:17, 1.29s/step] Training: 25%|██▍ | 17321/70000 [6:07:06<19:03:04, 1.30s/step] Training: 25%|██▍ | 17322/70000 [6:07:07<19:14:49, 1.32s/step] Training: 25%|██▍ | 17323/70000 [6:07:08<18:39:59, 1.28s/step] Training: 25%|██▍ | 17324/70000 [6:07:10<18:17:22, 1.25s/step] Training: 25%|██▍ | 17325/70000 [6:07:11<18:40:49, 1.28s/step] Training: 25%|██▍ | 17326/70000 [6:07:12<19:03:16, 1.30s/step] Training: 25%|██▍ | 17327/70000 [6:07:13<18:33:33, 1.27s/step] Training: 25%|██▍ | 17328/70000 [6:07:15<19:00:27, 1.30s/step] Training: 25%|██▍ | 17329/70000 [6:07:16<18:36:31, 1.27s/step] Training: 25%|██▍ | 17330/70000 [6:07:17<18:58:00, 1.30s/step] Training: 25%|██▍ | 17331/70000 [6:07:19<18:26:50, 1.26s/step] Training: 25%|██▍ | 17332/70000 [6:07:20<18:19:29, 1.25s/step] Training: 25%|██▍ | 17333/70000 [6:07:21<18:37:27, 1.27s/step] Training: 25%|██▍ | 17334/70000 [6:07:22<18:23:51, 1.26s/step] Training: 25%|██▍ | 17335/70000 [6:07:23<18:06:18, 1.24s/step] Training: 25%|██▍ | 17336/70000 [6:07:25<18:29:46, 1.26s/step] Training: 25%|██▍ | 17337/70000 [6:07:26<18:45:47, 1.28s/step] Training: 25%|██▍ | 17338/70000 [6:07:27<18:30:20, 1.27s/step] Training: 25%|██▍ | 17339/70000 [6:07:29<18:10:03, 1.24s/step] Training: 25%|██▍ | 17340/70000 [6:07:30<18:00:18, 1.23s/step] Training: 25%|██▍ | 17341/70000 [6:07:31<17:55:00, 1.22s/step] Training: 25%|██▍ | 17342/70000 [6:07:32<18:24:38, 1.26s/step] Training: 25%|██▍ | 17343/70000 [6:07:33<18:06:49, 1.24s/step] Training: 25%|██▍ | 17344/70000 [6:07:35<18:39:24, 1.28s/step] Training: 25%|██▍ | 17345/70000 [6:07:36<18:53:40, 1.29s/step] Training: 25%|██▍ | 17346/70000 [6:07:37<18:46:30, 1.28s/step] Training: 25%|██▍ | 17347/70000 [6:07:39<18:20:09, 1.25s/step] Training: 25%|██▍ | 17348/70000 [6:07:40<18:39:03, 1.28s/step] Training: 25%|██▍ | 17349/70000 [6:07:41<18:52:19, 1.29s/step] Training: 25%|██▍ | 17350/70000 [6:07:43<19:06:25, 1.31s/step] Training: 25%|██▍ | 17351/70000 [6:07:44<18:35:33, 1.27s/step] Training: 25%|██▍ | 17352/70000 [6:07:45<18:51:09, 1.29s/step] Training: 25%|██▍ | 17353/70000 [6:07:46<19:00:16, 1.30s/step] Training: 25%|██▍ | 17354/70000 [6:07:48<18:32:04, 1.27s/step] Training: 25%|██▍ | 17355/70000 [6:07:49<18:55:40, 1.29s/step] Training: 25%|██▍ | 17356/70000 [6:07:50<19:00:29, 1.30s/step] Training: 25%|██▍ | 17357/70000 [6:07:52<19:08:53, 1.31s/step] Training: 25%|██▍ | 17358/70000 [6:07:53<19:20:06, 1.32s/step] Training: 25%|██▍ | 17359/70000 [6:07:54<18:44:56, 1.28s/step] Training: 25%|██▍ | 17360/70000 [6:07:56<19:11:21, 1.31s/step] Training: 25%|██▍ | 17361/70000 [6:07:57<18:45:58, 1.28s/step] Training: 25%|██▍ | 17362/70000 [6:07:58<18:21:42, 1.26s/step] Training: 25%|██▍ | 17363/70000 [6:07:59<18:31:48, 1.27s/step] Training: 25%|██▍ | 17364/70000 [6:08:01<18:20:36, 1.25s/step] Training: 25%|██▍ | 17365/70000 [6:08:02<18:41:53, 1.28s/step] Training: 25%|██▍ | 17366/70000 [6:08:03<18:55:23, 1.29s/step] Training: 25%|██▍ | 17367/70000 [6:08:04<18:27:53, 1.26s/step] Training: 25%|██▍ | 17368/70000 [6:08:06<18:44:51, 1.28s/step] Training: 25%|██▍ | 17369/70000 [6:08:07<18:56:46, 1.30s/step] Training: 25%|██▍ | 17370/70000 [6:08:08<18:28:58, 1.26s/step] Training: 25%|██▍ | 17371/70000 [6:08:09<18:09:17, 1.24s/step] Training: 25%|██▍ | 17372/70000 [6:08:11<18:36:14, 1.27s/step] Training: 25%|██▍ | 17373/70000 [6:08:12<18:18:33, 1.25s/step] Training: 25%|██▍ | 17374/70000 [6:08:13<18:40:22, 1.28s/step] Training: 25%|██▍ | 17375/70000 [6:08:14<18:16:59, 1.25s/step] Training: 25%|██▍ | 17376/70000 [6:08:16<18:44:58, 1.28s/step] Training: 25%|██▍ | 17377/70000 [6:08:17<18:56:01, 1.30s/step] Training: 25%|██▍ | 17378/70000 [6:08:18<18:28:51, 1.26s/step] Training: 25%|██▍ | 17379/70000 [6:08:20<18:54:21, 1.29s/step] Training: 25%|██▍ | 17380/70000 [6:08:21<19:01:19, 1.30s/step] Training: 25%|██▍ | 17381/70000 [6:08:22<19:08:14, 1.31s/step] Training: 25%|██▍ | 17382/70000 [6:08:24<19:11:45, 1.31s/step] Training: 25%|██▍ | 17383/70000 [6:08:25<18:39:25, 1.28s/step] Training: 25%|██▍ | 17384/70000 [6:08:26<18:52:14, 1.29s/step] Training: 25%|██▍ | 17385/70000 [6:08:28<19:04:47, 1.31s/step] Training: 25%|██▍ | 17386/70000 [6:08:29<18:36:18, 1.27s/step] Training: 25%|██▍ | 17387/70000 [6:08:30<18:12:32, 1.25s/step] Training: 25%|██▍ | 17388/70000 [6:08:31<18:59:29, 1.30s/step] Training: 25%|██▍ | 17389/70000 [6:08:33<19:05:29, 1.31s/step] Training: 25%|██▍ | 17390/70000 [6:08:34<19:24:20, 1.33s/step] Training: 25%|██▍ | 17391/70000 [6:08:35<18:47:47, 1.29s/step] Training: 25%|██▍ | 17392/70000 [6:08:37<19:08:20, 1.31s/step] Training: 25%|██▍ | 17393/70000 [6:08:38<18:39:44, 1.28s/step] Training: 25%|██▍ | 17394/70000 [6:08:39<18:17:19, 1.25s/step] Training: 25%|██▍ | 17395/70000 [6:08:40<18:00:52, 1.23s/step] Training: 25%|██▍ | 17396/70000 [6:08:42<18:29:45, 1.27s/step] Training: 25%|██▍ | 17397/70000 [6:08:43<18:18:51, 1.25s/step] Training: 25%|██▍ | 17398/70000 [6:08:44<18:38:30, 1.28s/step] Training: 25%|██▍ | 17399/70000 [6:08:45<18:15:54, 1.25s/step] Training: 25%|██▍ | 17400/70000 [6:08:47<18:35:51, 1.27s/step]INFO 2026-03-13 02:18:39 ot_train.py:435 step:17K smpl:1M ep:4K epch:14.75 loss:0.098 grdn:10.027 lr:2.2e-05 updt_s:1.254 data_s:0.019 Training: 25%|██▍ | 17401/70000 [6:08:48<18:52:29, 1.29s/step] Training: 25%|██▍ | 17402/70000 [6:08:49<18:27:34, 1.26s/step] Training: 25%|██▍ | 17403/70000 [6:08:50<18:07:38, 1.24s/step] Training: 25%|██▍ | 17404/70000 [6:08:52<17:57:33, 1.23s/step] Training: 25%|██▍ | 17405/70000 [6:08:53<17:50:36, 1.22s/step] Training: 25%|██▍ | 17406/70000 [6:08:54<18:22:01, 1.26s/step] Training: 25%|██▍ | 17407/70000 [6:08:55<18:03:55, 1.24s/step] Training: 25%|██▍ | 17408/70000 [6:08:57<18:42:07, 1.28s/step] Training: 25%|██▍ | 17409/70000 [6:08:58<18:55:53, 1.30s/step] Training: 25%|██▍ | 17410/70000 [6:08:59<18:27:56, 1.26s/step] Training: 25%|██▍ | 17411/70000 [6:09:00<18:07:48, 1.24s/step] Training: 25%|██▍ | 17412/70000 [6:09:02<18:44:33, 1.28s/step] Training: 25%|██▍ | 17413/70000 [6:09:03<18:56:49, 1.30s/step] Training: 25%|██▍ | 17414/70000 [6:09:04<19:05:43, 1.31s/step] Training: 25%|██▍ | 17415/70000 [6:09:06<18:34:36, 1.27s/step] Training: 25%|██▍ | 17416/70000 [6:09:07<18:52:08, 1.29s/step] Training: 25%|██▍ | 17417/70000 [6:09:08<19:02:12, 1.30s/step] Training: 25%|██▍ | 17418/70000 [6:09:09<18:34:14, 1.27s/step] Training: 25%|██▍ | 17419/70000 [6:09:11<18:13:31, 1.25s/step] Training: 25%|██▍ | 17420/70000 [6:09:12<18:33:07, 1.27s/step] Training: 25%|██▍ | 17421/70000 [6:09:13<18:49:07, 1.29s/step] Training: 25%|██▍ | 17422/70000 [6:09:15<19:10:26, 1.31s/step] Training: 25%|██▍ | 17423/70000 [6:09:16<18:37:39, 1.28s/step] Training: 25%|██▍ | 17424/70000 [6:09:17<19:00:59, 1.30s/step] Training: 25%|██▍ | 17425/70000 [6:09:18<18:37:44, 1.28s/step] Training: 25%|██▍ | 17426/70000 [6:09:20<18:15:26, 1.25s/step] Training: 25%|██▍ | 17427/70000 [6:09:21<17:58:58, 1.23s/step] Training: 25%|██▍ | 17428/70000 [6:09:22<18:01:04, 1.23s/step] Training: 25%|██▍ | 17429/70000 [6:09:24<19:10:26, 1.31s/step] Training: 25%|██▍ | 17430/70000 [6:09:25<19:13:28, 1.32s/step] Training: 25%|██▍ | 17431/70000 [6:09:26<18:41:24, 1.28s/step] Training: 25%|██▍ | 17432/70000 [6:09:27<18:51:43, 1.29s/step] Training: 25%|██▍ | 17433/70000 [6:09:29<19:00:22, 1.30s/step] Training: 25%|██▍ | 17434/70000 [6:09:30<18:32:12, 1.27s/step] Training: 25%|██▍ | 17435/70000 [6:09:31<18:09:56, 1.24s/step] Training: 25%|██▍ | 17436/70000 [6:09:32<18:00:03, 1.23s/step] Training: 25%|██▍ | 17437/70000 [6:09:34<18:18:35, 1.25s/step] Training: 25%|██▍ | 17438/70000 [6:09:35<18:50:43, 1.29s/step] Training: 25%|██▍ | 17439/70000 [6:09:36<18:24:07, 1.26s/step] Training: 25%|██▍ | 17440/70000 [6:09:38<18:54:46, 1.30s/step] Training: 25%|██▍ | 17441/70000 [6:09:39<18:27:08, 1.26s/step] Training: 25%|██▍ | 17442/70000 [6:09:40<18:43:01, 1.28s/step] Training: 25%|██▍ | 17443/70000 [6:09:41<18:18:11, 1.25s/step] Training: 25%|██▍ | 17444/70000 [6:09:43<18:37:11, 1.28s/step] Training: 25%|██▍ | 17445/70000 [6:09:44<18:57:25, 1.30s/step] Training: 25%|██▍ | 17446/70000 [6:09:45<19:07:21, 1.31s/step] Training: 25%|██▍ | 17447/70000 [6:09:46<18:36:11, 1.27s/step] Training: 25%|██▍ | 17448/70000 [6:09:48<18:48:31, 1.29s/step] Training: 25%|██▍ | 17449/70000 [6:09:49<18:21:36, 1.26s/step] Training: 25%|██▍ | 17450/70000 [6:09:50<18:38:30, 1.28s/step] Training: 25%|██▍ | 17451/70000 [6:09:51<18:15:25, 1.25s/step] Training: 25%|██▍ | 17452/70000 [6:09:53<18:37:02, 1.28s/step] Training: 25%|██▍ | 17453/70000 [6:09:54<18:56:40, 1.30s/step] Training: 25%|██▍ | 17454/70000 [6:09:55<19:15:12, 1.32s/step] Training: 25%|██▍ | 17455/70000 [6:09:57<18:40:32, 1.28s/step] Training: 25%|██▍ | 17456/70000 [6:09:58<19:02:49, 1.30s/step] Training: 25%|██▍ | 17457/70000 [6:09:59<18:31:44, 1.27s/step] Training: 25%|██▍ | 17458/70000 [6:10:00<18:10:22, 1.25s/step] Training: 25%|██▍ | 17459/70000 [6:10:02<17:55:49, 1.23s/step] Training: 25%|██▍ | 17460/70000 [6:10:03<17:55:24, 1.23s/step] Training: 25%|██▍ | 17461/70000 [6:10:04<17:57:07, 1.23s/step] Training: 25%|██▍ | 17462/70000 [6:10:06<18:55:23, 1.30s/step] Training: 25%|██▍ | 17463/70000 [6:10:07<18:28:43, 1.27s/step] Training: 25%|██▍ | 17464/70000 [6:10:08<18:41:33, 1.28s/step] Training: 25%|██▍ | 17465/70000 [6:10:09<18:17:15, 1.25s/step] Training: 25%|██▍ | 17466/70000 [6:10:10<18:05:29, 1.24s/step] Training: 25%|██▍ | 17467/70000 [6:10:12<17:52:48, 1.23s/step] Training: 25%|██▍ | 17468/70000 [6:10:13<17:47:07, 1.22s/step] Training: 25%|██▍ | 17469/70000 [6:10:14<17:46:35, 1.22s/step] Training: 25%|██▍ | 17470/70000 [6:10:15<18:41:28, 1.28s/step] Training: 25%|██▍ | 17471/70000 [6:10:17<18:17:07, 1.25s/step] Training: 25%|██▍ | 17472/70000 [6:10:18<18:46:51, 1.29s/step] Training: 25%|██▍ | 17473/70000 [6:10:19<18:21:08, 1.26s/step] Training: 25%|██▍ | 17474/70000 [6:10:20<18:11:07, 1.25s/step] Training: 25%|██▍ | 17475/70000 [6:10:22<17:56:37, 1.23s/step] Training: 25%|██▍ | 17476/70000 [6:10:23<18:24:22, 1.26s/step] Training: 25%|██▍ | 17477/70000 [6:10:24<18:41:08, 1.28s/step] Training: 25%|██▍ | 17478/70000 [6:10:26<19:05:58, 1.31s/step] Training: 25%|██▍ | 17479/70000 [6:10:27<18:34:15, 1.27s/step] Training: 25%|██▍ | 17480/70000 [6:10:28<18:53:39, 1.30s/step] Training: 25%|██▍ | 17481/70000 [6:10:29<18:25:58, 1.26s/step] Training: 25%|██▍ | 17482/70000 [6:10:31<18:05:55, 1.24s/step] Training: 25%|██▍ | 17483/70000 [6:10:32<18:27:34, 1.27s/step] Training: 25%|██▍ | 17484/70000 [6:10:33<18:45:50, 1.29s/step] Training: 25%|██▍ | 17485/70000 [6:10:35<18:57:33, 1.30s/step] Training: 25%|██▍ | 17486/70000 [6:10:36<19:19:03, 1.32s/step] Training: 25%|██▍ | 17487/70000 [6:10:37<18:43:04, 1.28s/step] Training: 25%|██▍ | 17488/70000 [6:10:38<19:01:44, 1.30s/step] Training: 25%|██▍ | 17489/70000 [6:10:40<18:31:40, 1.27s/step] Training: 25%|██▍ | 17490/70000 [6:10:41<18:45:51, 1.29s/step] Training: 25%|██▍ | 17491/70000 [6:10:42<18:21:14, 1.26s/step] Training: 25%|██▍ | 17492/70000 [6:10:43<18:13:10, 1.25s/step] Training: 25%|██▍ | 17493/70000 [6:10:45<18:08:00, 1.24s/step] Training: 25%|██▍ | 17494/70000 [6:10:46<18:00:31, 1.23s/step] Training: 25%|██▍ | 17495/70000 [6:10:47<18:30:43, 1.27s/step] Training: 25%|██▍ | 17496/70000 [6:10:49<18:41:48, 1.28s/step] Training: 25%|██▍ | 17497/70000 [6:10:50<18:18:03, 1.25s/step] Training: 25%|██▍ | 17498/70000 [6:10:51<18:03:36, 1.24s/step] Training: 25%|██▍ | 17499/70000 [6:10:52<17:51:59, 1.23s/step] Training: 25%|██▌ | 17500/70000 [6:10:53<17:48:19, 1.22s/step]INFO 2026-03-13 02:20:45 ot_train.py:435 step:18K smpl:1M ep:4K epch:14.83 loss:0.100 grdn:10.190 lr:2.2e-05 updt_s:1.246 data_s:0.019 Training: 25%|██▌ | 17501/70000 [6:10:55<17:47:21, 1.22s/step] Training: 25%|██▌ | 17502/70000 [6:10:56<18:22:45, 1.26s/step] Training: 25%|██▌ | 17503/70000 [6:10:57<18:34:59, 1.27s/step] Training: 25%|██▌ | 17504/70000 [6:10:59<18:56:56, 1.30s/step] Training: 25%|██▌ | 17505/70000 [6:11:00<18:28:32, 1.27s/step] Training: 25%|██▌ | 17506/70000 [6:11:01<18:46:08, 1.29s/step] Training: 25%|██▌ | 17507/70000 [6:11:02<18:22:00, 1.26s/step] Training: 25%|██▌ | 17508/70000 [6:11:04<18:45:31, 1.29s/step] Training: 25%|██▌ | 17509/70000 [6:11:05<18:56:49, 1.30s/step] Training: 25%|██▌ | 17510/70000 [6:11:06<19:07:42, 1.31s/step] Training: 25%|██▌ | 17511/70000 [6:11:08<18:53:04, 1.30s/step] Training: 25%|██▌ | 17512/70000 [6:11:09<19:00:16, 1.30s/step] Training: 25%|██▌ | 17513/70000 [6:11:10<18:30:24, 1.27s/step] Training: 25%|██▌ | 17514/70000 [6:11:11<18:13:55, 1.25s/step] Training: 25%|██▌ | 17515/70000 [6:11:12<17:59:02, 1.23s/step] Training: 25%|██▌ | 17516/70000 [6:11:14<18:25:24, 1.26s/step] Training: 25%|██▌ | 17517/70000 [6:11:15<18:41:47, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=41529 Training: 25%|██▌ | 17518/70000 [6:11:16<18:29:14, 1.27s/step] Training: 25%|██▌ | 17519/70000 [6:11:18<18:39:17, 1.28s/step] Training: 25%|██▌ | 17520/70000 [6:11:19<19:25:58, 1.33s/step] Training: 25%|██▌ | 17521/70000 [6:11:20<18:47:22, 1.29s/step] Training: 25%|██▌ | 17522/70000 [6:11:22<18:59:07, 1.30s/step] Training: 25%|██▌ | 17523/70000 [6:11:23<18:30:22, 1.27s/step] Training: 25%|██▌ | 17524/70000 [6:11:24<18:26:50, 1.27s/step] Training: 25%|██▌ | 17525/70000 [6:11:25<18:18:34, 1.26s/step] Training: 25%|██▌ | 17526/70000 [6:11:27<18:09:11, 1.25s/step] Training: 25%|██▌ | 17527/70000 [6:11:28<18:32:32, 1.27s/step] Training: 25%|██▌ | 17528/70000 [6:11:29<19:09:54, 1.31s/step] Training: 25%|██▌ | 17529/70000 [6:11:30<18:36:32, 1.28s/step] Training: 25%|██▌ | 17530/70000 [6:11:32<18:50:06, 1.29s/step] Training: 25%|██▌ | 17531/70000 [6:11:33<18:23:39, 1.26s/step] Training: 25%|██▌ | 17532/70000 [6:11:34<18:13:04, 1.25s/step] Training: 25%|██▌ | 17533/70000 [6:11:35<18:06:42, 1.24s/step] Training: 25%|██▌ | 17534/70000 [6:11:37<18:30:11, 1.27s/step] Training: 25%|██▌ | 17535/70000 [6:11:38<18:13:43, 1.25s/step] Training: 25%|██▌ | 17536/70000 [6:11:39<18:51:21, 1.29s/step] Training: 25%|██▌ | 17537/70000 [6:11:41<18:21:46, 1.26s/step] Training: 25%|██▌ | 17538/70000 [6:11:42<18:41:57, 1.28s/step] Training: 25%|██▌ | 17539/70000 [6:11:43<18:17:37, 1.26s/step] Training: 25%|██▌ | 17540/70000 [6:11:44<17:59:31, 1.23s/step] Training: 25%|██▌ | 17541/70000 [6:11:46<18:26:35, 1.27s/step] Training: 25%|██▌ | 17542/70000 [6:11:47<18:30:15, 1.27s/step] Training: 25%|██▌ | 17543/70000 [6:11:48<19:12:03, 1.32s/step] Training: 25%|██▌ | 17544/70000 [6:11:50<19:22:06, 1.33s/step] Training: 25%|██▌ | 17545/70000 [6:11:51<18:42:49, 1.28s/step] Training: 25%|██▌ | 17546/70000 [6:11:52<18:22:55, 1.26s/step] Training: 25%|██▌ | 17547/70000 [6:11:53<18:05:03, 1.24s/step] Training: 25%|██▌ | 17548/70000 [6:11:54<17:50:29, 1.22s/step] Training: 25%|██▌ | 17549/70000 [6:11:56<18:35:04, 1.28s/step] Training: 25%|██▌ | 17550/70000 [6:11:57<18:11:55, 1.25s/step] Training: 25%|██▌ | 17551/70000 [6:11:58<19:05:39, 1.31s/step] Training: 25%|██▌ | 17552/70000 [6:12:00<19:26:00, 1.33s/step] Training: 25%|██▌ | 17553/70000 [6:12:01<19:28:45, 1.34s/step] Training: 25%|██▌ | 17554/70000 [6:12:03<19:24:15, 1.33s/step] Training: 25%|██▌ | 17555/70000 [6:12:04<18:46:58, 1.29s/step] Training: 25%|██▌ | 17556/70000 [6:12:05<18:21:37, 1.26s/step] Training: 25%|██▌ | 17557/70000 [6:12:06<18:12:12, 1.25s/step] Training: 25%|██▌ | 17558/70000 [6:12:07<17:56:33, 1.23s/step] Training: 25%|██▌ | 17559/70000 [6:12:09<18:23:51, 1.26s/step] Training: 25%|██▌ | 17560/70000 [6:12:10<18:41:42, 1.28s/step] Training: 25%|██▌ | 17561/70000 [6:12:11<19:00:39, 1.31s/step] Training: 25%|██▌ | 17562/70000 [6:12:13<19:08:14, 1.31s/step] Training: 25%|██▌ | 17563/70000 [6:12:14<18:37:00, 1.28s/step] Training: 25%|██▌ | 17564/70000 [6:12:15<18:12:20, 1.25s/step] Training: 25%|██▌ | 17565/70000 [6:12:16<18:36:02, 1.28s/step] Training: 25%|██▌ | 17566/70000 [6:12:18<18:13:01, 1.25s/step] Training: 25%|██▌ | 17567/70000 [6:12:19<18:31:01, 1.27s/step] Training: 25%|██▌ | 17568/70000 [6:12:20<18:52:30, 1.30s/step] Training: 25%|██▌ | 17569/70000 [6:12:22<18:31:36, 1.27s/step] Training: 25%|██▌ | 17570/70000 [6:12:23<18:48:15, 1.29s/step] Training: 25%|██▌ | 17571/70000 [6:12:24<18:21:58, 1.26s/step] Training: 25%|██▌ | 17572/70000 [6:12:25<18:02:47, 1.24s/step] Training: 25%|██▌ | 17573/70000 [6:12:27<18:25:06, 1.26s/step] Training: 25%|██▌ | 17574/70000 [6:12:28<18:06:34, 1.24s/step] Training: 25%|██▌ | 17575/70000 [6:12:29<18:29:43, 1.27s/step] Training: 25%|██▌ | 17576/70000 [6:12:30<18:43:24, 1.29s/step] Training: 25%|██▌ | 17577/70000 [6:12:32<18:36:05, 1.28s/step] Training: 25%|██▌ | 17578/70000 [6:12:33<18:14:42, 1.25s/step] Training: 25%|██▌ | 17579/70000 [6:12:34<17:58:15, 1.23s/step] Training: 25%|██▌ | 17580/70000 [6:12:35<17:45:15, 1.22s/step] Training: 25%|██▌ | 17581/70000 [6:12:37<18:16:12, 1.25s/step] Training: 25%|██▌ | 17582/70000 [6:12:38<18:03:02, 1.24s/step] Training: 25%|██▌ | 17583/70000 [6:12:39<18:26:26, 1.27s/step] Training: 25%|██▌ | 17584/70000 [6:12:40<18:53:13, 1.30s/step] Training: 25%|██▌ | 17585/70000 [6:12:42<18:26:25, 1.27s/step] Training: 25%|██▌ | 17586/70000 [6:12:43<19:06:54, 1.31s/step] Training: 25%|██▌ | 17587/70000 [6:12:44<18:37:40, 1.28s/step] Training: 25%|██▌ | 17588/70000 [6:12:45<18:11:41, 1.25s/step] Training: 25%|██▌ | 17589/70000 [6:12:47<18:12:52, 1.25s/step] Training: 25%|██▌ | 17590/70000 [6:12:48<17:56:10, 1.23s/step] Training: 25%|██▌ | 17591/70000 [6:12:49<18:24:15, 1.26s/step] Training: 25%|██▌ | 17592/70000 [6:12:51<18:40:27, 1.28s/step] Training: 25%|██▌ | 17593/70000 [6:12:52<18:16:42, 1.26s/step] Training: 25%|██▌ | 17594/70000 [6:12:53<18:57:05, 1.30s/step] Training: 25%|██▌ | 17595/70000 [6:12:54<18:27:15, 1.27s/step] Training: 25%|██▌ | 17596/70000 [6:12:56<18:06:56, 1.24s/step] Training: 25%|██▌ | 17597/70000 [6:12:57<18:29:05, 1.27s/step] Training: 25%|██▌ | 17598/70000 [6:12:58<18:07:42, 1.25s/step] Training: 25%|██▌ | 17599/70000 [6:12:59<18:32:50, 1.27s/step] Training: 25%|██▌ | 17600/70000 [6:13:01<18:57:50, 1.30s/step]INFO 2026-03-13 02:22:53 ot_train.py:435 step:18K smpl:1M ep:4K epch:14.92 loss:0.095 grdn:10.054 lr:2.1e-05 updt_s:1.253 data_s:0.019 Training: 25%|██▌ | 17601/70000 [6:13:02<18:27:36, 1.27s/step] Training: 25%|██▌ | 17602/70000 [6:13:03<18:42:47, 1.29s/step] Training: 25%|██▌ | 17603/70000 [6:13:05<18:57:08, 1.30s/step] Training: 25%|██▌ | 17604/70000 [6:13:06<18:25:19, 1.27s/step] Training: 25%|██▌ | 17605/70000 [6:13:07<18:46:30, 1.29s/step] Training: 25%|██▌ | 17606/70000 [6:13:08<18:20:00, 1.26s/step] Training: 25%|██▌ | 17607/70000 [6:13:10<18:40:11, 1.28s/step] Training: 25%|██▌ | 17608/70000 [6:13:11<18:53:54, 1.30s/step] Training: 25%|██▌ | 17609/70000 [6:13:12<18:24:42, 1.27s/step] Training: 25%|██▌ | 17610/70000 [6:13:14<18:49:10, 1.29s/step] Training: 25%|██▌ | 17611/70000 [6:13:15<18:20:08, 1.26s/step] Training: 25%|██▌ | 17612/70000 [6:13:16<18:01:47, 1.24s/step] Training: 25%|██▌ | 17613/70000 [6:13:17<18:24:47, 1.27s/step] Training: 25%|██▌ | 17614/70000 [6:13:18<18:05:01, 1.24s/step] Training: 25%|██▌ | 17615/70000 [6:13:20<18:29:20, 1.27s/step] Training: 25%|██▌ | 17616/70000 [6:13:21<18:51:00, 1.30s/step] Training: 25%|██▌ | 17617/70000 [6:13:22<18:22:58, 1.26s/step] Training: 25%|██▌ | 17618/70000 [6:13:24<18:41:14, 1.28s/step] Training: 25%|██▌ | 17619/70000 [6:13:25<18:57:13, 1.30s/step] Training: 25%|██▌ | 17620/70000 [6:13:26<18:25:33, 1.27s/step] Training: 25%|██▌ | 17621/70000 [6:13:27<18:22:59, 1.26s/step] Training: 25%|██▌ | 17622/70000 [6:13:29<18:05:20, 1.24s/step] Training: 25%|██▌ | 17623/70000 [6:13:30<18:38:52, 1.28s/step] Training: 25%|██▌ | 17624/70000 [6:13:31<18:48:38, 1.29s/step] Training: 25%|██▌ | 17625/70000 [6:13:33<18:20:44, 1.26s/step] Training: 25%|██▌ | 17626/70000 [6:13:34<18:40:44, 1.28s/step] Training: 25%|██▌ | 17627/70000 [6:13:35<18:58:44, 1.30s/step] Training: 25%|██▌ | 17628/70000 [6:13:36<18:26:07, 1.27s/step] Training: 25%|██▌ | 17629/70000 [6:13:38<18:45:06, 1.29s/step] Training: 25%|██▌ | 17630/70000 [6:13:39<18:18:57, 1.26s/step] Training: 25%|██▌ | 17631/70000 [6:13:40<18:37:37, 1.28s/step] Training: 25%|██▌ | 17632/70000 [6:13:42<18:57:13, 1.30s/step] Training: 25%|██▌ | 17633/70000 [6:13:43<18:27:28, 1.27s/step] Training: 25%|██▌ | 17634/70000 [6:13:44<18:19:04, 1.26s/step] Training: 25%|██▌ | 17635/70000 [6:13:45<18:00:06, 1.24s/step] Training: 25%|██▌ | 17636/70000 [6:13:46<17:47:29, 1.22s/step] Training: 25%|██▌ | 17637/70000 [6:13:48<18:16:39, 1.26s/step] Training: 25%|██▌ | 17638/70000 [6:13:49<17:59:19, 1.24s/step] Training: 25%|██▌ | 17639/70000 [6:13:50<18:26:42, 1.27s/step] Training: 25%|██▌ | 17640/70000 [6:13:52<18:41:50, 1.29s/step] Training: 25%|██▌ | 17641/70000 [6:13:53<18:17:03, 1.26s/step] Training: 25%|██▌ | 17642/70000 [6:13:54<18:04:55, 1.24s/step] Training: 25%|██▌ | 17643/70000 [6:13:55<18:05:52, 1.24s/step] Training: 25%|██▌ | 17644/70000 [6:13:56<17:51:43, 1.23s/step] Training: 25%|██▌ | 17645/70000 [6:13:58<18:18:36, 1.26s/step] Training: 25%|██▌ | 17646/70000 [6:13:59<18:00:39, 1.24s/step] Training: 25%|██▌ | 17647/70000 [6:14:00<18:21:10, 1.26s/step] Training: 25%|██▌ | 17648/70000 [6:14:02<18:13:46, 1.25s/step] Training: 25%|██▌ | 17649/70000 [6:14:03<18:29:42, 1.27s/step] Training: 25%|██▌ | 17650/70000 [6:14:04<18:44:43, 1.29s/step] Training: 25%|██▌ | 17651/70000 [6:14:05<18:32:07, 1.27s/step] Training: 25%|██▌ | 17652/70000 [6:14:07<18:07:28, 1.25s/step] Training: 25%|██▌ | 17653/70000 [6:14:08<18:05:42, 1.24s/step] Training: 25%|██▌ | 17654/70000 [6:14:09<17:51:39, 1.23s/step] Training: 25%|██▌ | 17655/70000 [6:14:10<18:31:56, 1.27s/step] Training: 25%|██▌ | 17656/70000 [6:14:12<18:15:08, 1.26s/step] Training: 25%|██▌ | 17657/70000 [6:14:13<17:58:54, 1.24s/step] Training: 25%|██▌ | 17658/70000 [6:14:14<18:23:09, 1.26s/step] Training: 25%|██▌ | 17659/70000 [6:14:15<18:04:26, 1.24s/step] Training: 25%|██▌ | 17660/70000 [6:14:17<18:30:56, 1.27s/step] Training: 25%|██▌ | 17661/70000 [6:14:18<18:41:47, 1.29s/step] Training: 25%|██▌ | 17662/70000 [6:14:19<18:16:51, 1.26s/step] Training: 25%|██▌ | 17663/70000 [6:14:21<18:38:08, 1.28s/step] Training: 25%|██▌ | 17664/70000 [6:14:22<18:56:53, 1.30s/step] Training: 25%|██▌ | 17665/70000 [6:14:23<18:26:53, 1.27s/step] Training: 25%|██▌ | 17666/70000 [6:14:24<18:17:14, 1.26s/step] Training: 25%|██▌ | 17667/70000 [6:14:25<18:00:06, 1.24s/step] Training: 25%|██▌ | 17668/70000 [6:14:27<18:15:20, 1.26s/step] Training: 25%|██▌ | 17669/70000 [6:14:28<18:34:19, 1.28s/step] Training: 25%|██▌ | 17670/70000 [6:14:29<18:12:23, 1.25s/step] Training: 25%|██▌ | 17671/70000 [6:14:31<18:34:56, 1.28s/step] Training: 25%|██▌ | 17672/70000 [6:14:32<18:50:11, 1.30s/step] Training: 25%|██▌ | 17673/70000 [6:14:33<18:22:08, 1.26s/step] Training: 25%|██▌ | 17674/70000 [6:14:34<18:07:38, 1.25s/step] Training: 25%|██▌ | 17675/70000 [6:14:36<17:52:22, 1.23s/step] Training: 25%|██▌ | 17676/70000 [6:14:37<18:25:50, 1.27s/step] Training: 25%|██▌ | 17677/70000 [6:14:38<18:40:21, 1.28s/step] Training: 25%|██▌ | 17678/70000 [6:14:39<18:15:11, 1.26s/step] Training: 25%|██▌ | 17679/70000 [6:14:41<18:34:13, 1.28s/step] Training: 25%|██▌ | 17680/70000 [6:14:42<18:59:59, 1.31s/step] Training: 25%|██▌ | 17681/70000 [6:14:43<18:28:54, 1.27s/step] Training: 25%|██▌ | 17682/70000 [6:14:45<18:44:40, 1.29s/step] Training: 25%|██▌ | 17683/70000 [6:14:46<18:17:48, 1.26s/step] Training: 25%|██▌ | 17684/70000 [6:14:47<18:43:23, 1.29s/step] Training: 25%|██▌ | 17685/70000 [6:14:48<18:29:20, 1.27s/step] Training: 25%|██▌ | 17686/70000 [6:14:50<18:08:32, 1.25s/step] Training: 25%|██▌ | 17687/70000 [6:14:51<18:40:20, 1.28s/step] Training: 25%|██▌ | 17688/70000 [6:14:52<18:50:59, 1.30s/step] Training: 25%|██▌ | 17689/70000 [6:14:54<18:22:42, 1.26s/step] Training: 25%|██▌ | 17690/70000 [6:14:55<18:38:50, 1.28s/step] Training: 25%|██▌ | 17691/70000 [6:14:56<18:16:28, 1.26s/step] Training: 25%|██▌ | 17692/70000 [6:14:57<17:58:01, 1.24s/step] Training: 25%|██▌ | 17693/70000 [6:14:59<18:55:04, 1.30s/step] Training: 25%|██▌ | 17694/70000 [6:15:00<18:24:36, 1.27s/step] Training: 25%|██▌ | 17695/70000 [6:15:01<18:41:45, 1.29s/step] Training: 25%|██▌ | 17696/70000 [6:15:03<19:02:58, 1.31s/step] Training: 25%|██▌ | 17697/70000 [6:15:04<18:30:35, 1.27s/step] Training: 25%|██▌ | 17698/70000 [6:15:05<18:20:41, 1.26s/step] Training: 25%|██▌ | 17699/70000 [6:15:06<18:00:33, 1.24s/step] Training: 25%|██▌ | 17700/70000 [6:15:08<21:51:56, 1.51s/step]INFO 2026-03-13 02:25:00 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.00 loss:0.098 grdn:10.322 lr:2.1e-05 updt_s:1.245 data_s:0.028 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 25%|██▌ | 17701/70000 [6:15:12<33:25:09, 2.30s/step] Training: 25%|██▌ | 17702/70000 [6:15:14<28:37:57, 1.97s/step] Training: 25%|██▌ | 17703/70000 [6:15:15<26:00:12, 1.79s/step] Training: 25%|██▌ | 17704/70000 [6:15:16<24:19:23, 1.67s/step] Training: 25%|██▌ | 17705/70000 [6:15:18<22:13:52, 1.53s/step] Training: 25%|██▌ | 17706/70000 [6:15:19<21:02:36, 1.45s/step] Training: 25%|██▌ | 17707/70000 [6:15:20<19:54:47, 1.37s/step] Training: 25%|██▌ | 17708/70000 [6:15:21<19:13:00, 1.32s/step] Training: 25%|██▌ | 17709/70000 [6:15:23<19:24:52, 1.34s/step] Training: 25%|██▌ | 17710/70000 [6:15:24<18:47:20, 1.29s/step] Training: 25%|██▌ | 17711/70000 [6:15:25<18:57:59, 1.31s/step] Training: 25%|██▌ | 17712/70000 [6:15:27<19:20:38, 1.33s/step] Training: 25%|██▌ | 17713/70000 [6:15:28<18:43:27, 1.29s/step] Training: 25%|██▌ | 17714/70000 [6:15:29<18:56:35, 1.30s/step] Training: 25%|██▌ | 17715/70000 [6:15:30<18:26:53, 1.27s/step] Training: 25%|██▌ | 17716/70000 [6:15:31<18:05:50, 1.25s/step] Training: 25%|██▌ | 17717/70000 [6:15:33<18:20:19, 1.26s/step] Training: 25%|██▌ | 17718/70000 [6:15:34<17:59:28, 1.24s/step] Training: 25%|██▌ | 17719/70000 [6:15:35<18:33:25, 1.28s/step] Training: 25%|██▌ | 17720/70000 [6:15:37<18:48:44, 1.30s/step] Training: 25%|██▌ | 17721/70000 [6:15:38<18:22:01, 1.26s/step] Training: 25%|██▌ | 17722/70000 [6:15:39<18:37:03, 1.28s/step] Training: 25%|██▌ | 17723/70000 [6:15:40<18:13:11, 1.25s/step] Training: 25%|██▌ | 17724/70000 [6:15:42<17:55:48, 1.23s/step] Training: 25%|██▌ | 17725/70000 [6:15:43<18:21:08, 1.26s/step] Training: 25%|██▌ | 17726/70000 [6:15:44<18:43:22, 1.29s/step] Training: 25%|██▌ | 17727/70000 [6:15:45<18:25:50, 1.27s/step] Training: 25%|██▌ | 17728/70000 [6:15:47<18:53:43, 1.30s/step] Training: 25%|██▌ | 17729/70000 [6:15:48<18:26:06, 1.27s/step] Training: 25%|██▌ | 17730/70000 [6:15:49<18:16:16, 1.26s/step] Training: 25%|██▌ | 17731/70000 [6:15:50<17:58:36, 1.24s/step] Training: 25%|██▌ | 17732/70000 [6:15:52<17:45:18, 1.22s/step] Training: 25%|██▌ | 17733/70000 [6:15:53<18:13:52, 1.26s/step] Training: 25%|██▌ | 17734/70000 [6:15:54<18:15:57, 1.26s/step] Training: 25%|██▌ | 17735/70000 [6:15:56<18:35:18, 1.28s/step] Training: 25%|██▌ | 17736/70000 [6:15:57<18:45:10, 1.29s/step] Training: 25%|██▌ | 17737/70000 [6:15:58<18:18:58, 1.26s/step] Training: 25%|██▌ | 17738/70000 [6:15:59<18:05:59, 1.25s/step] Training: 25%|██▌ | 17739/70000 [6:16:00<17:51:52, 1.23s/step] Training: 25%|██▌ | 17740/70000 [6:16:02<17:41:28, 1.22s/step] Training: 25%|██▌ | 17741/70000 [6:16:03<18:21:13, 1.26s/step] Training: 25%|██▌ | 17742/70000 [6:16:04<18:02:19, 1.24s/step] Training: 25%|██▌ | 17743/70000 [6:16:06<18:57:08, 1.31s/step] Training: 25%|██▌ | 17744/70000 [6:16:07<19:13:38, 1.32s/step] Training: 25%|██▌ | 17745/70000 [6:16:08<18:39:39, 1.29s/step] Training: 25%|██▌ | 17746/70000 [6:16:10<18:51:09, 1.30s/step] Training: 25%|██▌ | 17747/70000 [6:16:11<18:24:57, 1.27s/step] Training: 25%|██▌ | 17748/70000 [6:16:12<18:03:50, 1.24s/step] Training: 25%|██▌ | 17749/70000 [6:16:13<18:03:41, 1.24s/step] Training: 25%|██▌ | 17750/70000 [6:16:15<18:37:27, 1.28s/step] Training: 25%|██▌ | 17751/70000 [6:16:16<19:01:21, 1.31s/step] Training: 25%|██▌ | 17752/70000 [6:16:17<19:05:32, 1.32s/step] Training: 25%|██▌ | 17753/70000 [6:16:18<18:34:51, 1.28s/step] Training: 25%|██▌ | 17754/70000 [6:16:20<18:47:39, 1.30s/step] Training: 25%|██▌ | 17755/70000 [6:16:21<18:20:05, 1.26s/step] Training: 25%|██▌ | 17756/70000 [6:16:22<18:01:10, 1.24s/step] Training: 25%|██▌ | 17757/70000 [6:16:24<18:24:31, 1.27s/step] Training: 25%|██▌ | 17758/70000 [6:16:25<18:03:16, 1.24s/step] Training: 25%|██▌ | 17759/70000 [6:16:26<18:58:15, 1.31s/step] Training: 25%|██▌ | 17760/70000 [6:16:28<19:16:12, 1.33s/step] Training: 25%|██▌ | 17761/70000 [6:16:29<18:39:59, 1.29s/step] Training: 25%|██▌ | 17762/70000 [6:16:30<18:25:37, 1.27s/step] Training: 25%|██▌ | 17763/70000 [6:16:31<18:04:13, 1.25s/step] Training: 25%|██▌ | 17764/70000 [6:16:32<17:49:36, 1.23s/step] Training: 25%|██▌ | 17765/70000 [6:16:34<18:15:19, 1.26s/step] Training: 25%|██▌ | 17766/70000 [6:16:35<17:57:08, 1.24s/step] Training: 25%|██▌ | 17767/70000 [6:16:36<18:51:13, 1.30s/step] Training: 25%|██▌ | 17768/70000 [6:16:38<19:01:41, 1.31s/step] Training: 25%|██▌ | 17769/70000 [6:16:39<18:30:10, 1.28s/step] Training: 25%|██▌ | 17770/70000 [6:16:40<18:13:31, 1.26s/step] Training: 25%|██▌ | 17771/70000 [6:16:41<17:56:22, 1.24s/step] Training: 25%|██▌ | 17772/70000 [6:16:42<17:43:50, 1.22s/step] Training: 25%|██▌ | 17773/70000 [6:16:44<18:23:05, 1.27s/step] Training: 25%|██▌ | 17774/70000 [6:16:45<18:02:59, 1.24s/step] Training: 25%|██▌ | 17775/70000 [6:16:46<18:27:13, 1.27s/step] Training: 25%|██▌ | 17776/70000 [6:16:48<18:17:43, 1.26s/step] Training: 25%|██▌ | 17777/70000 [6:16:49<18:29:22, 1.27s/step] Training: 25%|██▌ | 17778/70000 [6:16:50<18:43:52, 1.29s/step] Training: 25%|██▌ | 17779/70000 [6:16:51<18:16:47, 1.26s/step] Training: 25%|██▌ | 17780/70000 [6:16:53<17:57:49, 1.24s/step] Training: 25%|██▌ | 17781/70000 [6:16:54<17:54:52, 1.24s/step] Training: 25%|██▌ | 17782/70000 [6:16:55<17:44:10, 1.22s/step] Training: 25%|██▌ | 17783/70000 [6:16:56<18:28:17, 1.27s/step] Training: 25%|██▌ | 17784/70000 [6:16:58<18:11:56, 1.25s/step] Training: 25%|██▌ | 17785/70000 [6:16:59<17:56:25, 1.24s/step] Training: 25%|██▌ | 17786/70000 [6:17:00<18:19:00, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10221 Training: 25%|██▌ | 17787/70000 [6:17:01<17:59:18, 1.24s/step] Training: 25%|██▌ | 17788/70000 [6:17:03<17:48:06, 1.23s/step] Training: 25%|██▌ | 17789/70000 [6:17:04<18:13:21, 1.26s/step] Training: 25%|██▌ | 17790/70000 [6:17:05<17:55:30, 1.24s/step] Training: 25%|██▌ | 17791/70000 [6:17:06<18:22:05, 1.27s/step] Training: 25%|██▌ | 17792/70000 [6:17:08<18:51:07, 1.30s/step] Training: 25%|██▌ | 17793/70000 [6:17:09<18:21:46, 1.27s/step] Training: 25%|██▌ | 17794/70000 [6:17:10<18:12:31, 1.26s/step] Training: 25%|██▌ | 17795/70000 [6:17:11<17:55:25, 1.24s/step] Training: 25%|██▌ | 17796/70000 [6:17:13<17:43:26, 1.22s/step] Training: 25%|██▌ | 17797/70000 [6:17:14<18:12:02, 1.26s/step] Training: 25%|██▌ | 17798/70000 [6:17:15<17:58:51, 1.24s/step] Training: 25%|██▌ | 17799/70000 [6:17:16<18:20:21, 1.26s/step] Training: 25%|██▌ | 17800/70000 [6:17:18<19:00:56, 1.31s/step]INFO 2026-03-13 02:27:10 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.09 loss:0.079 grdn:9.104 lr:2.1e-05 updt_s:1.247 data_s:0.046 Training: 25%|██▌ | 17801/70000 [6:17:19<18:29:35, 1.28s/step] Training: 25%|██▌ | 17802/70000 [6:17:20<18:12:11, 1.26s/step] Training: 25%|██▌ | 17803/70000 [6:17:21<17:56:38, 1.24s/step] Training: 25%|██▌ | 17804/70000 [6:17:23<17:43:32, 1.22s/step] Training: 25%|██▌ | 17805/70000 [6:17:24<18:16:11, 1.26s/step] Training: 25%|██▌ | 17806/70000 [6:17:25<17:57:59, 1.24s/step] Training: 25%|██▌ | 17807/70000 [6:17:26<18:18:27, 1.26s/step] Training: 25%|██▌ | 17808/70000 [6:17:28<18:54:51, 1.30s/step] Training: 25%|██▌ | 17809/70000 [6:17:29<18:23:55, 1.27s/step] Training: 25%|██▌ | 17810/70000 [6:17:30<18:39:38, 1.29s/step] Training: 25%|██▌ | 17811/70000 [6:17:32<18:14:53, 1.26s/step] Training: 25%|██▌ | 17812/70000 [6:17:33<17:57:11, 1.24s/step] Training: 25%|██▌ | 17813/70000 [6:17:34<18:07:31, 1.25s/step] Training: 25%|██▌ | 17814/70000 [6:17:35<17:51:56, 1.23s/step] Training: 25%|██▌ | 17815/70000 [6:17:37<18:27:27, 1.27s/step] Training: 25%|██▌ | 17816/70000 [6:17:38<19:09:43, 1.32s/step] Training: 25%|██▌ | 17817/70000 [6:17:39<18:34:44, 1.28s/step] Training: 25%|██▌ | 17818/70000 [6:17:41<18:47:37, 1.30s/step] Training: 25%|██▌ | 17819/70000 [6:17:42<18:19:38, 1.26s/step] Training: 25%|██▌ | 17820/70000 [6:17:43<17:59:36, 1.24s/step] Training: 25%|██▌ | 17821/70000 [6:17:44<17:57:34, 1.24s/step] Training: 25%|██▌ | 17822/70000 [6:17:45<18:06:31, 1.25s/step] Training: 25%|██▌ | 17823/70000 [6:17:47<18:32:13, 1.28s/step] Training: 25%|██▌ | 17824/70000 [6:17:48<18:56:30, 1.31s/step] Training: 25%|██▌ | 17825/70000 [6:17:49<18:26:05, 1.27s/step] Training: 25%|██▌ | 17826/70000 [6:17:51<18:14:20, 1.26s/step] Training: 25%|██▌ | 17827/70000 [6:17:52<17:57:36, 1.24s/step] Training: 25%|██▌ | 17828/70000 [6:17:53<17:42:51, 1.22s/step] Training: 25%|██▌ | 17829/70000 [6:17:54<18:10:29, 1.25s/step] Training: 25%|██▌ | 17830/70000 [6:17:55<17:54:15, 1.24s/step] Training: 25%|██▌ | 17831/70000 [6:17:57<18:20:00, 1.27s/step] Training: 25%|██▌ | 17832/70000 [6:17:58<19:08:53, 1.32s/step] Training: 25%|██▌ | 17833/70000 [6:17:59<18:33:59, 1.28s/step] Training: 25%|██▌ | 17834/70000 [6:18:01<18:13:33, 1.26s/step] Training: 25%|██▌ | 17835/70000 [6:18:02<17:56:52, 1.24s/step] Training: 25%|██▌ | 17836/70000 [6:18:03<17:44:01, 1.22s/step] Training: 25%|██▌ | 17837/70000 [6:18:04<18:15:28, 1.26s/step] Training: 25%|██▌ | 17838/70000 [6:18:06<17:57:54, 1.24s/step] Training: 25%|██▌ | 17839/70000 [6:18:07<18:23:07, 1.27s/step] Training: 25%|██▌ | 17840/70000 [6:18:08<18:54:36, 1.31s/step] Training: 25%|██▌ | 17841/70000 [6:18:09<18:21:26, 1.27s/step] Training: 25%|██▌ | 17842/70000 [6:18:11<18:37:26, 1.29s/step] Training: 25%|██▌ | 17843/70000 [6:18:12<18:13:20, 1.26s/step] Training: 25%|██▌ | 17844/70000 [6:18:13<17:55:08, 1.24s/step] Training: 25%|██▌ | 17845/70000 [6:18:14<17:56:26, 1.24s/step] Training: 25%|██▌ | 17846/70000 [6:18:16<17:44:01, 1.22s/step] Training: 25%|██▌ | 17847/70000 [6:18:17<18:26:13, 1.27s/step] Training: 25%|██▌ | 17848/70000 [6:18:18<18:40:53, 1.29s/step] Training: 25%|██▌ | 17849/70000 [6:18:20<18:15:48, 1.26s/step] Training: 26%|██▌ | 17850/70000 [6:18:21<18:33:30, 1.28s/step] Training: 26%|██▌ | 17851/70000 [6:18:22<18:11:26, 1.26s/step] Training: 26%|██▌ | 17852/70000 [6:18:23<17:53:51, 1.24s/step] Training: 26%|██▌ | 17853/70000 [6:18:24<17:51:34, 1.23s/step] Training: 26%|██▌ | 17854/70000 [6:18:26<18:02:46, 1.25s/step] Training: 26%|██▌ | 17855/70000 [6:18:27<18:23:26, 1.27s/step] Training: 26%|██▌ | 17856/70000 [6:18:28<18:48:49, 1.30s/step] Training: 26%|██▌ | 17857/70000 [6:18:30<19:00:15, 1.31s/step] Training: 26%|██▌ | 17858/70000 [6:18:31<18:39:04, 1.29s/step] Training: 26%|██▌ | 17859/70000 [6:18:32<18:13:24, 1.26s/step] Training: 26%|██▌ | 17860/70000 [6:18:33<17:56:02, 1.24s/step] Training: 26%|██▌ | 17861/70000 [6:18:35<18:17:48, 1.26s/step] Training: 26%|██▌ | 17862/70000 [6:18:36<18:00:50, 1.24s/step] Training: 26%|██▌ | 17863/70000 [6:18:37<18:26:21, 1.27s/step] Training: 26%|██▌ | 17864/70000 [6:18:39<18:41:23, 1.29s/step] Training: 26%|██▌ | 17865/70000 [6:18:40<18:53:32, 1.30s/step] Training: 26%|██▌ | 17866/70000 [6:18:41<18:31:10, 1.28s/step] Training: 26%|██▌ | 17867/70000 [6:18:42<18:10:28, 1.26s/step] Training: 26%|██▌ | 17868/70000 [6:18:44<17:54:30, 1.24s/step] Training: 26%|██▌ | 17869/70000 [6:18:45<17:47:45, 1.23s/step] Training: 26%|██▌ | 17870/70000 [6:18:46<17:37:47, 1.22s/step] Training: 26%|██▌ | 17871/70000 [6:18:47<18:08:51, 1.25s/step] Training: 26%|██▌ | 17872/70000 [6:18:49<18:46:21, 1.30s/step] Training: 26%|██▌ | 17873/70000 [6:18:50<19:09:10, 1.32s/step] Training: 26%|██▌ | 17874/70000 [6:18:51<19:09:06, 1.32s/step] Training: 26%|██▌ | 17875/70000 [6:18:53<18:37:23, 1.29s/step] Training: 26%|██▌ | 17876/70000 [6:18:54<18:10:34, 1.26s/step] Training: 26%|██▌ | 17877/70000 [6:18:55<18:18:59, 1.27s/step] Training: 26%|██▌ | 17878/70000 [6:18:56<17:59:51, 1.24s/step] Training: 26%|██▌ | 17879/70000 [6:18:58<18:32:28, 1.28s/step] Training: 26%|██▌ | 17880/70000 [6:18:59<18:11:17, 1.26s/step] Training: 26%|██▌ | 17881/70000 [6:19:00<17:54:30, 1.24s/step] Training: 26%|██▌ | 17882/70000 [6:19:01<18:51:23, 1.30s/step] Training: 26%|██▌ | 17883/70000 [6:19:03<18:22:57, 1.27s/step] Training: 26%|██▌ | 17884/70000 [6:19:04<18:02:14, 1.25s/step] Training: 26%|██▌ | 17885/70000 [6:19:05<17:54:08, 1.24s/step] Training: 26%|██▌ | 17886/70000 [6:19:06<18:08:42, 1.25s/step] Training: 26%|██▌ | 17887/70000 [6:19:08<18:30:34, 1.28s/step] Training: 26%|██▌ | 17888/70000 [6:19:09<18:54:54, 1.31s/step] Training: 26%|██▌ | 17889/70000 [6:19:10<18:24:17, 1.27s/step] Training: 26%|██▌ | 17890/70000 [6:19:12<18:43:56, 1.29s/step] Training: 26%|██▌ | 17891/70000 [6:19:13<18:14:34, 1.26s/step] Training: 26%|██▌ | 17892/70000 [6:19:14<17:55:36, 1.24s/step] Training: 26%|██▌ | 17893/70000 [6:19:15<18:19:41, 1.27s/step] Training: 26%|██▌ | 17894/70000 [6:19:16<17:59:31, 1.24s/step] Training: 26%|██▌ | 17895/70000 [6:19:18<18:25:36, 1.27s/step] Training: 26%|██▌ | 17896/70000 [6:19:19<18:42:47, 1.29s/step] Training: 26%|██▌ | 17897/70000 [6:19:20<18:16:01, 1.26s/step] Training: 26%|██▌ | 17898/70000 [6:19:22<18:02:40, 1.25s/step] Training: 26%|██▌ | 17899/70000 [6:19:23<17:49:56, 1.23s/step] Training: 26%|██▌ | 17900/70000 [6:19:24<17:37:55, 1.22s/step]INFO 2026-03-13 02:29:16 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.17 loss:0.080 grdn:8.775 lr:2.1e-05 updt_s:1.240 data_s:0.019 Training: 26%|██▌ | 17901/70000 [6:19:25<18:09:22, 1.25s/step] Training: 26%|██▌ | 17902/70000 [6:19:26<17:52:31, 1.24s/step] Training: 26%|██▌ | 17903/70000 [6:19:28<18:15:39, 1.26s/step] Training: 26%|██▌ | 17904/70000 [6:19:29<18:46:29, 1.30s/step] Training: 26%|██▌ | 17905/70000 [6:19:30<18:18:04, 1.26s/step] Training: 26%|██▌ | 17906/70000 [6:19:32<18:08:47, 1.25s/step] Training: 26%|██▌ | 17907/70000 [6:19:33<18:27:15, 1.28s/step] Training: 26%|██▌ | 17908/70000 [6:19:34<18:04:14, 1.25s/step] Training: 26%|██▌ | 17909/70000 [6:19:35<18:08:04, 1.25s/step] Training: 26%|██▌ | 17910/70000 [6:19:37<17:51:50, 1.23s/step] Training: 26%|██▌ | 17911/70000 [6:19:38<18:26:54, 1.28s/step] Training: 26%|██▌ | 17912/70000 [6:19:39<18:10:55, 1.26s/step] Training: 26%|██▌ | 17913/70000 [6:19:40<18:27:05, 1.28s/step] Training: 26%|██▌ | 17914/70000 [6:19:42<18:23:03, 1.27s/step] Training: 26%|██▌ | 17915/70000 [6:19:43<18:15:45, 1.26s/step] Training: 26%|██▌ | 17916/70000 [6:19:44<17:55:55, 1.24s/step] Training: 26%|██▌ | 17917/70000 [6:19:45<17:48:13, 1.23s/step] Training: 26%|██▌ | 17918/70000 [6:19:47<18:04:38, 1.25s/step] Training: 26%|██▌ | 17919/70000 [6:19:48<18:29:06, 1.28s/step] Training: 26%|██▌ | 17920/70000 [6:19:49<18:42:40, 1.29s/step] Training: 26%|██▌ | 17921/70000 [6:19:51<18:44:19, 1.30s/step] Training: 26%|██▌ | 17922/70000 [6:19:52<18:16:03, 1.26s/step] Training: 26%|██▌ | 17923/70000 [6:19:53<18:37:22, 1.29s/step] Training: 26%|██▌ | 17924/70000 [6:19:54<18:09:56, 1.26s/step] Training: 26%|██▌ | 17925/70000 [6:19:56<18:28:50, 1.28s/step] Training: 26%|██▌ | 17926/70000 [6:19:57<18:06:33, 1.25s/step] Training: 26%|██▌ | 17927/70000 [6:19:58<18:27:01, 1.28s/step] Training: 26%|██▌ | 17928/70000 [6:20:00<18:41:53, 1.29s/step] Training: 26%|██▌ | 17929/70000 [6:20:01<18:15:35, 1.26s/step] Training: 26%|██▌ | 17930/70000 [6:20:02<17:57:15, 1.24s/step] Training: 26%|██▌ | 17931/70000 [6:20:03<18:38:27, 1.29s/step] Training: 26%|██▌ | 17932/70000 [6:20:04<18:13:10, 1.26s/step] Training: 26%|██▌ | 17933/70000 [6:20:06<18:43:53, 1.30s/step] Training: 26%|██▌ | 17934/70000 [6:20:07<18:17:05, 1.26s/step] Training: 26%|██▌ | 17935/70000 [6:20:08<18:05:36, 1.25s/step] Training: 26%|██▌ | 17936/70000 [6:20:10<18:21:41, 1.27s/step] Training: 26%|██▌ | 17937/70000 [6:20:11<18:31:34, 1.28s/step] Training: 26%|██▌ | 17938/70000 [6:20:12<18:07:25, 1.25s/step] Training: 26%|██▌ | 17939/70000 [6:20:14<18:48:58, 1.30s/step] Training: 26%|██▌ | 17940/70000 [6:20:15<18:57:18, 1.31s/step] Training: 26%|██▌ | 17941/70000 [6:20:16<18:43:38, 1.30s/step] Training: 26%|██▌ | 17942/70000 [6:20:17<18:16:27, 1.26s/step] Training: 26%|██▌ | 17943/70000 [6:20:19<18:34:16, 1.28s/step] Training: 26%|██▌ | 17944/70000 [6:20:20<18:39:36, 1.29s/step] Training: 26%|██▌ | 17945/70000 [6:20:21<18:47:19, 1.30s/step] Training: 26%|██▌ | 17946/70000 [6:20:22<18:17:32, 1.27s/step] Training: 26%|██▌ | 17947/70000 [6:20:24<18:41:22, 1.29s/step] Training: 26%|██▌ | 17948/70000 [6:20:25<18:11:59, 1.26s/step] Training: 26%|██▌ | 17949/70000 [6:20:26<18:30:47, 1.28s/step] Training: 26%|██▌ | 17950/70000 [6:20:27<18:07:33, 1.25s/step] Training: 26%|██▌ | 17951/70000 [6:20:29<18:30:37, 1.28s/step] Training: 26%|██▌ | 17952/70000 [6:20:30<18:43:36, 1.30s/step] Training: 26%|██▌ | 17953/70000 [6:20:31<18:20:44, 1.27s/step] Training: 26%|██▌ | 17954/70000 [6:20:33<18:00:41, 1.25s/step] Training: 26%|██▌ | 17955/70000 [6:20:34<17:55:47, 1.24s/step] Training: 26%|██▌ | 17956/70000 [6:20:35<18:22:40, 1.27s/step] Training: 26%|██▌ | 17957/70000 [6:20:36<18:39:11, 1.29s/step] Training: 26%|██▌ | 17958/70000 [6:20:38<18:13:33, 1.26s/step] Training: 26%|██▌ | 17959/70000 [6:20:39<18:31:26, 1.28s/step] Training: 26%|██▌ | 17960/70000 [6:20:40<19:12:08, 1.33s/step] Training: 26%|██▌ | 17961/70000 [6:20:42<19:11:51, 1.33s/step] Training: 26%|██▌ | 17962/70000 [6:20:43<18:36:03, 1.29s/step] Training: 26%|██▌ | 17963/70000 [6:20:44<18:45:54, 1.30s/step] Training: 26%|██▌ | 17964/70000 [6:20:46<18:58:58, 1.31s/step] Training: 26%|██▌ | 17965/70000 [6:20:47<19:12:39, 1.33s/step] Training: 26%|██▌ | 17966/70000 [6:20:48<18:37:11, 1.29s/step] Training: 26%|██▌ | 17967/70000 [6:20:49<18:17:29, 1.27s/step] Training: 26%|██▌ | 17968/70000 [6:20:51<18:41:52, 1.29s/step] Training: 26%|██▌ | 17969/70000 [6:20:52<18:49:22, 1.30s/step] Training: 26%|██▌ | 17970/70000 [6:20:53<18:19:30, 1.27s/step] Training: 26%|██▌ | 17971/70000 [6:20:55<18:36:00, 1.29s/step] Training: 26%|██▌ | 17972/70000 [6:20:56<18:10:47, 1.26s/step] Training: 26%|██▌ | 17973/70000 [6:20:57<18:09:55, 1.26s/step] Training: 26%|██▌ | 17974/70000 [6:20:58<17:52:11, 1.24s/step] Training: 26%|██▌ | 17975/70000 [6:21:00<18:19:20, 1.27s/step] Training: 26%|██▌ | 17976/70000 [6:21:01<18:06:17, 1.25s/step] Training: 26%|██▌ | 17977/70000 [6:21:02<18:26:56, 1.28s/step] Training: 26%|██▌ | 17978/70000 [6:21:03<18:03:28, 1.25s/step] Training: 26%|██▌ | 17979/70000 [6:21:05<18:23:57, 1.27s/step] Training: 26%|██▌ | 17980/70000 [6:21:06<18:16:00, 1.26s/step] Training: 26%|██▌ | 17981/70000 [6:21:07<18:34:08, 1.29s/step] Training: 26%|██▌ | 17982/70000 [6:21:08<18:08:48, 1.26s/step] Training: 26%|██▌ | 17983/70000 [6:21:10<18:27:19, 1.28s/step] Training: 26%|██▌ | 17984/70000 [6:21:11<18:41:49, 1.29s/step] Training: 26%|██▌ | 17985/70000 [6:21:12<18:20:33, 1.27s/step] Training: 26%|██▌ | 17986/70000 [6:21:13<17:59:32, 1.25s/step] Training: 26%|██▌ | 17987/70000 [6:21:15<17:52:18, 1.24s/step] Training: 26%|██▌ | 17988/70000 [6:21:16<17:55:06, 1.24s/step] Training: 26%|██▌ | 17989/70000 [6:21:17<18:17:22, 1.27s/step] Training: 26%|██▌ | 17990/70000 [6:21:18<17:57:54, 1.24s/step] Training: 26%|██▌ | 17991/70000 [6:21:20<18:20:02, 1.27s/step] Training: 26%|██▌ | 17992/70000 [6:21:21<18:38:02, 1.29s/step] Training: 26%|██▌ | 17993/70000 [6:21:22<18:49:05, 1.30s/step] Training: 26%|██▌ | 17994/70000 [6:21:24<18:20:05, 1.27s/step] Training: 26%|██▌ | 17995/70000 [6:21:25<18:36:52, 1.29s/step] Training: 26%|██▌ | 17996/70000 [6:21:26<18:11:41, 1.26s/step] Training: 26%|██▌ | 17997/70000 [6:21:28<19:06:50, 1.32s/step] Training: 26%|██▌ | 17998/70000 [6:21:29<18:33:04, 1.28s/step] Training: 26%|██▌ | 17999/70000 [6:21:30<18:15:02, 1.26s/step] Training: 26%|██▌ | 18000/70000 [6:21:31<18:39:39, 1.29s/step]INFO 2026-03-13 02:31:24 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.26 loss:0.080 grdn:8.700 lr:2.1e-05 updt_s:1.254 data_s:0.019 Training: 26%|██▌ | 18001/70000 [6:21:33<18:50:12, 1.30s/step] Training: 26%|██▌ | 18002/70000 [6:21:34<18:21:21, 1.27s/step] Training: 26%|██▌ | 18003/70000 [6:21:35<18:37:29, 1.29s/step] Training: 26%|██▌ | 18004/70000 [6:21:36<18:11:32, 1.26s/step] Training: 26%|██▌ | 18005/70000 [6:21:38<18:21:00, 1.27s/step] Training: 26%|██▌ | 18006/70000 [6:21:39<17:59:27, 1.25s/step] Training: 26%|██▌ | 18007/70000 [6:21:40<18:19:12, 1.27s/step] Training: 26%|██▌ | 18008/70000 [6:21:41<18:08:07, 1.26s/step] Training: 26%|██▌ | 18009/70000 [6:21:43<18:27:51, 1.28s/step] Training: 26%|██▌ | 18010/70000 [6:21:44<18:05:58, 1.25s/step] Training: 26%|██▌ | 18011/70000 [6:21:45<18:26:59, 1.28s/step] Training: 26%|██▌ | 18012/70000 [6:21:47<18:05:47, 1.25s/step] Training: 26%|██▌ | 18013/70000 [6:21:48<19:07:08, 1.32s/step] Training: 26%|██▌ | 18014/70000 [6:21:49<18:31:01, 1.28s/step] Training: 26%|██▌ | 18015/70000 [6:21:51<18:44:40, 1.30s/step] Training: 26%|██▌ | 18016/70000 [6:21:52<18:54:30, 1.31s/step] Training: 26%|██▌ | 18017/70000 [6:21:53<18:30:11, 1.28s/step] Training: 26%|██▌ | 18018/70000 [6:21:54<18:09:03, 1.26s/step] Training: 26%|██▌ | 18019/70000 [6:21:55<17:54:29, 1.24s/step] Training: 26%|██▌ | 18020/70000 [6:21:57<17:41:55, 1.23s/step] Training: 26%|██▌ | 18021/70000 [6:21:58<18:17:03, 1.27s/step] Training: 26%|██▌ | 18022/70000 [6:21:59<17:54:10, 1.24s/step] Training: 26%|██▌ | 18023/70000 [6:22:00<17:51:02, 1.24s/step] Training: 26%|██▌ | 18024/70000 [6:22:02<18:14:57, 1.26s/step] Training: 26%|██▌ | 18025/70000 [6:22:03<18:33:43, 1.29s/step] Training: 26%|██▌ | 18026/70000 [6:22:04<18:08:14, 1.26s/step] Training: 26%|██▌ | 18027/70000 [6:22:06<18:27:31, 1.28s/step] Training: 26%|██▌ | 18028/70000 [6:22:07<18:04:14, 1.25s/step] Training: 26%|██▌ | 18029/70000 [6:22:08<18:32:36, 1.28s/step] Training: 26%|██▌ | 18030/70000 [6:22:10<18:50:03, 1.30s/step] Training: 26%|██▌ | 18031/70000 [6:22:11<18:24:18, 1.27s/step] Training: 26%|██▌ | 18032/70000 [6:22:12<18:47:12, 1.30s/step] Training: 26%|██▌ | 18033/70000 [6:22:13<18:18:03, 1.27s/step] Training: 26%|██▌ | 18034/70000 [6:22:15<18:30:44, 1.28s/step] Training: 26%|██▌ | 18035/70000 [6:22:16<18:42:04, 1.30s/step] Training: 26%|██▌ | 18036/70000 [6:22:17<18:16:18, 1.27s/step] Training: 26%|██▌ | 18037/70000 [6:22:18<18:06:56, 1.26s/step] Training: 26%|██▌ | 18038/70000 [6:22:20<18:31:59, 1.28s/step] Training: 26%|██▌ | 18039/70000 [6:22:21<18:40:28, 1.29s/step] Training: 26%|██▌ | 18040/70000 [6:22:22<18:19:20, 1.27s/step] Training: 26%|██▌ | 18041/70000 [6:22:23<17:58:31, 1.25s/step] Training: 26%|██▌ | 18042/70000 [6:22:25<18:16:23, 1.27s/step] Training: 26%|██▌ | 18043/70000 [6:22:26<18:32:56, 1.29s/step] Training: 26%|██▌ | 18044/70000 [6:22:27<18:08:16, 1.26s/step] Training: 26%|██▌ | 18045/70000 [6:22:29<18:23:43, 1.27s/step] Training: 26%|██▌ | 18046/70000 [6:22:30<18:40:10, 1.29s/step] Training: 26%|██▌ | 18047/70000 [6:22:31<18:45:08, 1.30s/step] Training: 26%|██▌ | 18048/70000 [6:22:33<18:54:44, 1.31s/step] Training: 26%|██▌ | 18049/70000 [6:22:34<18:23:07, 1.27s/step] Training: 26%|██▌ | 18050/70000 [6:22:35<18:00:36, 1.25s/step] Training: 26%|██▌ | 18051/70000 [6:22:36<17:54:47, 1.24s/step] Training: 26%|██▌ | 18052/70000 [6:22:37<17:42:07, 1.23s/step] Training: 26%|██▌ | 18053/70000 [6:22:39<18:07:30, 1.26s/step] Training: 26%|██▌ | 18054/70000 [6:22:40<18:35:52, 1.29s/step] Training: 26%|██▌ | 18055/70000 [6:22:41<18:17:15, 1.27s/step] Training: 26%|██▌ | 18056/70000 [6:22:43<18:37:28, 1.29s/step] Training: 26%|██▌ | 18057/70000 [6:22:44<18:12:26, 1.26s/step] Training: 26%|██▌ | 18058/70000 [6:22:45<17:57:37, 1.24s/step] Training: 26%|██▌ | 18059/70000 [6:22:46<18:19:18, 1.27s/step] Training: 26%|██▌ | 18060/70000 [6:22:48<18:00:05, 1.25s/step] Training: 26%|██▌ | 18061/70000 [6:22:49<18:33:47, 1.29s/step] Training: 26%|██▌ | 18062/70000 [6:22:50<18:21:36, 1.27s/step] Training: 26%|██▌ | 18063/70000 [6:22:51<18:03:44, 1.25s/step] Training: 26%|██▌ | 18064/70000 [6:22:53<18:03:04, 1.25s/step] Training: 26%|██▌ | 18065/70000 [6:22:54<17:46:49, 1.23s/step] Training: 26%|██▌ | 18066/70000 [6:22:55<17:44:03, 1.23s/step] Training: 26%|██▌ | 18067/70000 [6:22:56<18:09:18, 1.26s/step] Training: 26%|██▌ | 18068/70000 [6:22:58<17:50:43, 1.24s/step] Training: 26%|██▌ | 18069/70000 [6:22:59<17:47:29, 1.23s/step] Training: 26%|██▌ | 18070/70000 [6:23:00<17:37:21, 1.22s/step] Training: 26%|██▌ | 18071/70000 [6:23:01<18:39:16, 1.29s/step] Training: 26%|██▌ | 18072/70000 [6:23:03<18:17:49, 1.27s/step] Training: 26%|██▌ | 18073/70000 [6:23:04<17:57:36, 1.25s/step] Training: 26%|██▌ | 18074/70000 [6:23:05<17:44:29, 1.23s/step] Training: 26%|██▌ | 18075/70000 [6:23:06<18:47:10, 1.30s/step] Training: 26%|██▌ | 18076/70000 [6:23:08<18:18:09, 1.27s/step] Training: 26%|██▌ | 18077/70000 [6:23:09<18:07:43, 1.26s/step] Training: 26%|██▌ | 18078/70000 [6:23:10<18:13:51, 1.26s/step] Training: 26%|██▌ | 18079/70000 [6:23:12<18:58:10, 1.32s/step] Training: 26%|██▌ | 18080/70000 [6:23:13<19:05:32, 1.32s/step] Training: 26%|██▌ | 18081/70000 [6:23:14<18:32:04, 1.29s/step] Training: 26%|██▌ | 18082/70000 [6:23:15<18:43:05, 1.30s/step] Training: 26%|██▌ | 18083/70000 [6:23:17<18:18:51, 1.27s/step] Training: 26%|██▌ | 18084/70000 [6:23:18<17:58:51, 1.25s/step] Training: 26%|██▌ | 18085/70000 [6:23:19<18:18:27, 1.27s/step] Training: 26%|██▌ | 18086/70000 [6:23:20<18:00:38, 1.25s/step] Training: 26%|██▌ | 18087/70000 [6:23:22<18:37:08, 1.29s/step] Training: 26%|██▌ | 18088/70000 [6:23:23<18:43:51, 1.30s/step] Training: 26%|██▌ | 18089/70000 [6:23:24<18:15:04, 1.27s/step] Training: 26%|██▌ | 18090/70000 [6:23:26<17:58:40, 1.25s/step] Training: 26%|██▌ | 18091/70000 [6:23:27<18:20:21, 1.27s/step] Training: 26%|██▌ | 18092/70000 [6:23:28<17:59:47, 1.25s/step] Training: 26%|██▌ | 18093/70000 [6:23:29<18:27:03, 1.28s/step] Training: 26%|██▌ | 18094/70000 [6:23:31<18:04:25, 1.25s/step] Training: 26%|██▌ | 18095/70000 [6:23:32<17:53:40, 1.24s/step] Training: 26%|██▌ | 18096/70000 [6:23:33<18:23:20, 1.28s/step] Training: 26%|██▌ | 18097/70000 [6:23:34<18:06:18, 1.26s/step] Training: 26%|██▌ | 18098/70000 [6:23:36<17:57:16, 1.25s/step] Training: 26%|██▌ | 18099/70000 [6:23:37<18:18:20, 1.27s/step] Training: 26%|██▌ | 18100/70000 [6:23:38<17:59:50, 1.25s/step]INFO 2026-03-13 02:33:30 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.34 loss:0.082 grdn:8.782 lr:2.1e-05 updt_s:1.246 data_s:0.019 Training: 26%|██▌ | 18101/70000 [6:23:39<18:23:30, 1.28s/step] Training: 26%|██▌ | 18102/70000 [6:23:41<18:01:58, 1.25s/step] Training: 26%|██▌ | 18103/70000 [6:23:42<18:20:43, 1.27s/step] Training: 26%|██▌ | 18104/70000 [6:23:43<19:01:26, 1.32s/step] Training: 26%|██▌ | 18105/70000 [6:23:45<18:27:26, 1.28s/step] Training: 26%|██▌ | 18106/70000 [6:23:46<18:03:33, 1.25s/step] Training: 26%|██▌ | 18107/70000 [6:23:47<18:55:49, 1.31s/step] Training: 26%|██▌ | 18108/70000 [6:23:48<18:24:58, 1.28s/step] Training: 26%|██▌ | 18109/70000 [6:23:50<18:15:03, 1.27s/step] Training: 26%|██▌ | 18110/70000 [6:23:51<18:16:12, 1.27s/step] Training: 26%|██▌ | 18111/70000 [6:23:52<18:33:29, 1.29s/step] Training: 26%|██▌ | 18112/70000 [6:23:54<18:43:20, 1.30s/step] Training: 26%|██▌ | 18113/70000 [6:23:55<18:16:13, 1.27s/step] Training: 26%|██▌ | 18114/70000 [6:23:56<17:56:58, 1.25s/step] Training: 26%|██▌ | 18115/70000 [6:23:57<18:09:50, 1.26s/step] Training: 26%|██▌ | 18116/70000 [6:23:58<17:51:27, 1.24s/step] Training: 26%|██▌ | 18117/70000 [6:24:00<17:39:26, 1.23s/step] Training: 26%|██▌ | 18118/70000 [6:24:01<18:31:29, 1.29s/step] Training: 26%|██▌ | 18119/70000 [6:24:02<18:16:42, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=30052 Training: 26%|██▌ | 18120/70000 [6:24:04<19:01:11, 1.32s/step] Training: 26%|██▌ | 18121/70000 [6:24:05<18:26:21, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=17286 Training: 26%|██▌ | 18122/70000 [6:24:06<18:14:01, 1.27s/step] Training: 26%|██▌ | 18123/70000 [6:24:07<17:54:40, 1.24s/step] Training: 26%|██▌ | 18124/70000 [6:24:09<17:40:29, 1.23s/step] Training: 26%|██▌ | 18125/70000 [6:24:10<18:16:07, 1.27s/step] Training: 26%|██▌ | 18126/70000 [6:24:11<17:56:29, 1.25s/step] Training: 26%|██▌ | 18127/70000 [6:24:12<17:47:30, 1.23s/step] Training: 26%|██▌ | 18128/70000 [6:24:14<18:29:27, 1.28s/step] Training: 26%|██▌ | 18129/70000 [6:24:15<18:02:38, 1.25s/step] Training: 26%|██▌ | 18130/70000 [6:24:16<17:52:20, 1.24s/step] Training: 26%|██▌ | 18131/70000 [6:24:17<17:39:48, 1.23s/step] Training: 26%|██▌ | 18132/70000 [6:24:18<17:29:45, 1.21s/step] Training: 26%|██▌ | 18133/70000 [6:24:20<17:58:20, 1.25s/step] Training: 26%|██▌ | 18134/70000 [6:24:21<17:43:51, 1.23s/step] Training: 26%|██▌ | 18135/70000 [6:24:22<18:10:29, 1.26s/step] Training: 26%|██▌ | 18136/70000 [6:24:24<18:26:10, 1.28s/step] Training: 26%|██▌ | 18137/70000 [6:24:25<18:02:54, 1.25s/step] Training: 26%|██▌ | 18138/70000 [6:24:26<18:23:11, 1.28s/step] Training: 26%|██▌ | 18139/70000 [6:24:27<18:10:36, 1.26s/step] Training: 26%|██▌ | 18140/70000 [6:24:29<17:52:20, 1.24s/step] Training: 26%|██▌ | 18141/70000 [6:24:30<18:13:10, 1.26s/step] Training: 26%|██▌ | 18142/70000 [6:24:31<17:54:01, 1.24s/step] Training: 26%|██▌ | 18143/70000 [6:24:32<18:17:19, 1.27s/step] Training: 26%|██▌ | 18144/70000 [6:24:34<18:31:07, 1.29s/step] Training: 26%|██▌ | 18145/70000 [6:24:35<18:46:14, 1.30s/step] Training: 26%|██▌ | 18146/70000 [6:24:36<18:51:38, 1.31s/step] Training: 26%|██▌ | 18147/70000 [6:24:38<18:28:44, 1.28s/step] Training: 26%|██▌ | 18148/70000 [6:24:39<18:06:03, 1.26s/step] Training: 26%|██▌ | 18149/70000 [6:24:40<18:22:20, 1.28s/step] Training: 26%|██▌ | 18150/70000 [6:24:41<18:00:40, 1.25s/step] Training: 26%|██▌ | 18151/70000 [6:24:43<17:52:48, 1.24s/step] Training: 26%|██▌ | 18152/70000 [6:24:44<18:15:41, 1.27s/step] Training: 26%|██▌ | 18153/70000 [6:24:45<18:27:07, 1.28s/step] Training: 26%|██▌ | 18154/70000 [6:24:47<19:03:36, 1.32s/step] Training: 26%|██▌ | 18155/70000 [6:24:48<18:29:34, 1.28s/step] Training: 26%|██▌ | 18156/70000 [6:24:49<18:44:30, 1.30s/step] Training: 26%|██▌ | 18157/70000 [6:24:50<18:27:22, 1.28s/step] Training: 26%|██▌ | 18158/70000 [6:24:52<18:04:19, 1.25s/step] Training: 26%|██▌ | 18159/70000 [6:24:53<17:52:17, 1.24s/step] Training: 26%|██▌ | 18160/70000 [6:24:54<18:22:50, 1.28s/step] Training: 26%|██▌ | 18161/70000 [6:24:56<18:44:01, 1.30s/step] Training: 26%|██▌ | 18162/70000 [6:24:57<18:16:53, 1.27s/step] Training: 26%|██▌ | 18163/70000 [6:24:58<17:54:58, 1.24s/step] Training: 26%|██▌ | 18164/70000 [6:24:59<18:17:03, 1.27s/step] Training: 26%|██▌ | 18165/70000 [6:25:00<18:08:46, 1.26s/step] Training: 26%|██▌ | 18166/70000 [6:25:02<17:50:38, 1.24s/step] Training: 26%|██▌ | 18167/70000 [6:25:03<18:14:50, 1.27s/step] Training: 26%|██▌ | 18168/70000 [6:25:04<18:32:11, 1.29s/step] Training: 26%|██▌ | 18169/70000 [6:25:06<18:06:51, 1.26s/step] Training: 26%|██▌ | 18170/70000 [6:25:07<18:49:09, 1.31s/step] Training: 26%|██▌ | 18171/70000 [6:25:08<18:18:35, 1.27s/step] Training: 26%|██▌ | 18172/70000 [6:25:09<18:27:31, 1.28s/step] Training: 26%|██▌ | 18173/70000 [6:25:11<18:42:34, 1.30s/step] Training: 26%|██▌ | 18174/70000 [6:25:12<18:13:46, 1.27s/step] Training: 26%|██▌ | 18175/70000 [6:25:13<18:31:05, 1.29s/step] Training: 26%|██▌ | 18176/70000 [6:25:15<18:42:53, 1.30s/step] Training: 26%|██▌ | 18177/70000 [6:25:16<18:15:09, 1.27s/step] Training: 26%|██▌ | 18178/70000 [6:25:17<19:00:30, 1.32s/step] Training: 26%|██▌ | 18179/70000 [6:25:18<18:27:27, 1.28s/step] Training: 26%|██▌ | 18180/70000 [6:25:20<18:03:30, 1.25s/step] Training: 26%|██▌ | 18181/70000 [6:25:21<18:26:08, 1.28s/step] Training: 26%|██▌ | 18182/70000 [6:25:22<18:02:20, 1.25s/step] Training: 26%|██▌ | 18183/70000 [6:25:23<17:56:33, 1.25s/step] Training: 26%|██▌ | 18184/70000 [6:25:25<18:19:22, 1.27s/step] Training: 26%|██▌ | 18185/70000 [6:25:26<17:58:40, 1.25s/step] Training: 26%|██▌ | 18186/70000 [6:25:27<17:54:48, 1.24s/step] Training: 26%|██▌ | 18187/70000 [6:25:28<17:38:52, 1.23s/step] Training: 26%|██▌ | 18188/70000 [6:25:30<17:29:49, 1.22s/step] Training: 26%|██▌ | 18189/70000 [6:25:31<18:12:36, 1.27s/step] Training: 26%|██▌ | 18190/70000 [6:25:32<17:53:35, 1.24s/step] Training: 26%|██▌ | 18191/70000 [6:25:33<17:47:30, 1.24s/step] Training: 26%|██▌ | 18192/70000 [6:25:35<18:20:05, 1.27s/step] Training: 26%|██▌ | 18193/70000 [6:25:36<17:58:26, 1.25s/step] Training: 26%|██▌ | 18194/70000 [6:25:37<18:00:54, 1.25s/step] Training: 26%|██▌ | 18195/70000 [6:25:38<17:45:50, 1.23s/step] Training: 26%|██▌ | 18196/70000 [6:25:40<17:45:09, 1.23s/step] Training: 26%|██▌ | 18197/70000 [6:25:41<17:54:03, 1.24s/step] Training: 26%|██▌ | 18198/70000 [6:25:42<17:40:26, 1.23s/step] Training: 26%|██▌ | 18199/70000 [6:25:43<18:07:01, 1.26s/step] Training: 26%|██▌ | 18200/70000 [6:25:45<18:24:22, 1.28s/step]INFO 2026-03-13 02:35:37 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.43 loss:0.079 grdn:10.501 lr:2.1e-05 updt_s:1.245 data_s:0.019 Training: 26%|██▌ | 18201/70000 [6:25:46<18:00:59, 1.25s/step] Training: 26%|██▌ | 18202/70000 [6:25:47<18:26:30, 1.28s/step] Training: 26%|██▌ | 18203/70000 [6:25:48<17:59:21, 1.25s/step] Training: 26%|██▌ | 18204/70000 [6:25:50<17:48:50, 1.24s/step] Training: 26%|██▌ | 18205/70000 [6:25:51<18:16:38, 1.27s/step] Training: 26%|██▌ | 18206/70000 [6:25:52<17:55:42, 1.25s/step] Training: 26%|██▌ | 18207/70000 [6:25:53<18:15:17, 1.27s/step] Training: 26%|██▌ | 18208/70000 [6:25:55<18:32:45, 1.29s/step] Training: 26%|██▌ | 18209/70000 [6:25:56<18:06:36, 1.26s/step] Training: 26%|██▌ | 18210/70000 [6:25:57<17:58:48, 1.25s/step] Training: 26%|██▌ | 18211/70000 [6:25:59<18:13:00, 1.27s/step] Training: 26%|██▌ | 18212/70000 [6:26:00<18:29:03, 1.28s/step] Training: 26%|██▌ | 18213/70000 [6:26:01<18:42:48, 1.30s/step] Training: 26%|██▌ | 18214/70000 [6:26:02<18:14:19, 1.27s/step] Training: 26%|██▌ | 18215/70000 [6:26:04<18:05:02, 1.26s/step] Training: 26%|██▌ | 18216/70000 [6:26:05<18:24:06, 1.28s/step] Training: 26%|██▌ | 18217/70000 [6:26:06<18:00:24, 1.25s/step] Training: 26%|██▌ | 18218/70000 [6:26:07<17:45:19, 1.23s/step] Training: 26%|██▌ | 18219/70000 [6:26:09<18:10:48, 1.26s/step] Training: 26%|██▌ | 18220/70000 [6:26:10<18:24:27, 1.28s/step] Training: 26%|██▌ | 18221/70000 [6:26:11<18:09:41, 1.26s/step] Training: 26%|██▌ | 18222/70000 [6:26:13<18:28:18, 1.28s/step] Training: 26%|██▌ | 18223/70000 [6:26:14<18:08:32, 1.26s/step] Training: 26%|██▌ | 18224/70000 [6:26:15<18:25:02, 1.28s/step] Training: 26%|██▌ | 18225/70000 [6:26:16<18:00:26, 1.25s/step] Training: 26%|██▌ | 18226/70000 [6:26:17<17:43:47, 1.23s/step] Training: 26%|██▌ | 18227/70000 [6:26:19<18:07:31, 1.26s/step] Training: 26%|██▌ | 18228/70000 [6:26:20<17:57:50, 1.25s/step] Training: 26%|██▌ | 18229/70000 [6:26:21<17:46:39, 1.24s/step] Training: 26%|██▌ | 18230/70000 [6:26:23<18:06:06, 1.26s/step] Training: 26%|██▌ | 18231/70000 [6:26:24<18:24:38, 1.28s/step] Training: 26%|██▌ | 18232/70000 [6:26:25<18:04:33, 1.26s/step] Training: 26%|██▌ | 18233/70000 [6:26:26<18:20:18, 1.28s/step] Training: 26%|██▌ | 18234/70000 [6:26:28<17:57:58, 1.25s/step] Training: 26%|██▌ | 18235/70000 [6:26:29<18:49:18, 1.31s/step] Training: 26%|██▌ | 18236/70000 [6:26:30<18:23:32, 1.28s/step] Training: 26%|██▌ | 18237/70000 [6:26:32<18:38:37, 1.30s/step] Training: 26%|██▌ | 18238/70000 [6:26:33<18:10:43, 1.26s/step] Training: 26%|██▌ | 18239/70000 [6:26:34<18:24:27, 1.28s/step] Training: 26%|██▌ | 18240/70000 [6:26:35<18:36:29, 1.29s/step] Training: 26%|██▌ | 18241/70000 [6:26:37<18:44:58, 1.30s/step] Training: 26%|██▌ | 18242/70000 [6:26:38<18:16:10, 1.27s/step] Training: 26%|██▌ | 18243/70000 [6:26:39<18:29:10, 1.29s/step] Training: 26%|██▌ | 18244/70000 [6:26:41<19:05:04, 1.33s/step] Training: 26%|██▌ | 18245/70000 [6:26:42<19:05:38, 1.33s/step] Training: 26%|██▌ | 18246/70000 [6:26:43<18:59:55, 1.32s/step] Training: 26%|██▌ | 18247/70000 [6:26:44<18:30:09, 1.29s/step] Training: 26%|██▌ | 18248/70000 [6:26:46<18:41:30, 1.30s/step] Training: 26%|██▌ | 18249/70000 [6:26:47<18:15:18, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=17286 Training: 26%|██▌ | 18250/70000 [6:26:48<17:54:51, 1.25s/step] Training: 26%|██▌ | 18251/70000 [6:26:49<17:45:36, 1.24s/step] Training: 26%|██▌ | 18252/70000 [6:26:51<18:35:31, 1.29s/step] Training: 26%|██▌ | 18253/70000 [6:26:52<18:20:00, 1.28s/step] Training: 26%|██▌ | 18254/70000 [6:26:53<18:34:23, 1.29s/step] Training: 26%|██▌ | 18255/70000 [6:26:55<18:17:20, 1.27s/step] Training: 26%|██▌ | 18256/70000 [6:26:56<18:33:23, 1.29s/step] Training: 26%|██▌ | 18257/70000 [6:26:57<18:08:27, 1.26s/step] Training: 26%|██▌ | 18258/70000 [6:26:58<17:49:29, 1.24s/step] Training: 26%|██▌ | 18259/70000 [6:27:00<18:11:44, 1.27s/step] Training: 26%|██▌ | 18260/70000 [6:27:01<18:02:33, 1.26s/step] Training: 26%|██▌ | 18261/70000 [6:27:02<17:48:35, 1.24s/step] Training: 26%|██▌ | 18262/70000 [6:27:03<17:44:15, 1.23s/step] Training: 26%|██▌ | 18263/70000 [6:27:05<17:33:07, 1.22s/step] Training: 26%|██▌ | 18264/70000 [6:27:06<17:55:52, 1.25s/step] Training: 26%|██▌ | 18265/70000 [6:27:07<17:41:13, 1.23s/step] Training: 26%|██▌ | 18266/70000 [6:27:08<17:29:47, 1.22s/step] Training: 26%|██▌ | 18267/70000 [6:27:10<17:58:39, 1.25s/step] Training: 26%|██▌ | 18268/70000 [6:27:11<17:54:46, 1.25s/step] Training: 26%|██▌ | 18269/70000 [6:27:12<18:18:35, 1.27s/step] Training: 26%|██▌ | 18270/70000 [6:27:13<18:30:46, 1.29s/step] Training: 26%|██▌ | 18271/70000 [6:27:15<18:40:11, 1.30s/step] Training: 26%|██▌ | 18272/70000 [6:27:16<18:51:32, 1.31s/step] Training: 26%|██▌ | 18273/70000 [6:27:17<18:19:42, 1.28s/step] Training: 26%|██▌ | 18274/70000 [6:27:18<17:56:09, 1.25s/step] Training: 26%|██▌ | 18275/70000 [6:27:20<18:18:11, 1.27s/step] Training: 26%|██▌ | 18276/70000 [6:27:21<18:31:06, 1.29s/step] Training: 26%|██▌ | 18277/70000 [6:27:22<18:40:25, 1.30s/step] Training: 26%|██▌ | 18278/70000 [6:27:24<18:46:13, 1.31s/step] Training: 26%|██▌ | 18279/70000 [6:27:25<18:23:02, 1.28s/step] Training: 26%|██▌ | 18280/70000 [6:27:26<18:40:07, 1.30s/step] Training: 26%|██▌ | 18281/70000 [6:27:28<18:11:49, 1.27s/step] Training: 26%|██▌ | 18282/70000 [6:27:29<17:53:01, 1.24s/step] Training: 26%|██▌ | 18283/70000 [6:27:30<17:49:30, 1.24s/step] Training: 26%|██▌ | 18284/70000 [6:27:31<18:12:58, 1.27s/step] Training: 26%|██▌ | 18285/70000 [6:27:33<18:37:22, 1.30s/step] Training: 26%|██▌ | 18286/70000 [6:27:34<18:43:01, 1.30s/step] Training: 26%|██▌ | 18287/70000 [6:27:35<18:21:17, 1.28s/step] Training: 26%|██▌ | 18288/70000 [6:27:37<18:35:57, 1.29s/step] Training: 26%|██▌ | 18289/70000 [6:27:38<18:08:46, 1.26s/step] Training: 26%|██▌ | 18290/70000 [6:27:39<17:52:56, 1.24s/step] Training: 26%|██▌ | 18291/70000 [6:27:40<18:20:33, 1.28s/step] Training: 26%|██▌ | 18292/70000 [6:27:42<18:07:58, 1.26s/step] Training: 26%|██▌ | 18293/70000 [6:27:43<18:12:55, 1.27s/step] Training: 26%|██▌ | 18294/70000 [6:27:44<18:02:04, 1.26s/step] Training: 26%|██▌ | 18295/70000 [6:27:45<17:45:15, 1.24s/step] Training: 26%|██▌ | 18296/70000 [6:27:47<18:03:19, 1.26s/step] Training: 26%|██▌ | 18297/70000 [6:27:48<17:45:21, 1.24s/step] Training: 26%|██▌ | 18298/70000 [6:27:49<17:34:22, 1.22s/step] Training: 26%|██▌ | 18299/70000 [6:27:50<17:59:52, 1.25s/step] Training: 26%|██▌ | 18300/70000 [6:27:51<17:49:12, 1.24s/step]INFO 2026-03-13 02:37:44 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.51 loss:0.085 grdn:9.539 lr:2.1e-05 updt_s:1.246 data_s:0.019 Training: 26%|██▌ | 18301/70000 [6:27:53<18:11:43, 1.27s/step] Training: 26%|██▌ | 18302/70000 [6:27:54<18:52:13, 1.31s/step] Training: 26%|██▌ | 18303/70000 [6:27:55<18:22:51, 1.28s/step] Training: 26%|██▌ | 18304/70000 [6:27:57<18:37:35, 1.30s/step] Training: 26%|██▌ | 18305/70000 [6:27:58<18:10:09, 1.27s/step] Training: 26%|██▌ | 18306/70000 [6:27:59<17:50:25, 1.24s/step] Training: 26%|██▌ | 18307/70000 [6:28:00<18:12:41, 1.27s/step] Training: 26%|██▌ | 18308/70000 [6:28:02<18:28:12, 1.29s/step] Training: 26%|██▌ | 18309/70000 [6:28:03<18:48:58, 1.31s/step] Training: 26%|██▌ | 18310/70000 [6:28:04<18:50:00, 1.31s/step] Training: 26%|██▌ | 18311/70000 [6:28:06<18:23:26, 1.28s/step] Training: 26%|██▌ | 18312/70000 [6:28:07<18:34:16, 1.29s/step] Training: 26%|██▌ | 18313/70000 [6:28:08<18:07:07, 1.26s/step] Training: 26%|██▌ | 18314/70000 [6:28:09<17:47:59, 1.24s/step] Training: 26%|██▌ | 18315/70000 [6:28:11<17:35:14, 1.22s/step] Training: 26%|██▌ | 18316/70000 [6:28:12<18:34:07, 1.29s/step] Training: 26%|██▌ | 18317/70000 [6:28:13<18:16:36, 1.27s/step] Training: 26%|██▌ | 18318/70000 [6:28:15<19:03:11, 1.33s/step] Training: 26%|██▌ | 18319/70000 [6:28:16<18:39:24, 1.30s/step] Training: 26%|██▌ | 18320/70000 [6:28:17<18:46:37, 1.31s/step] Training: 26%|██▌ | 18321/70000 [6:28:18<18:15:45, 1.27s/step] Training: 26%|██▌ | 18322/70000 [6:28:20<17:53:38, 1.25s/step] Training: 26%|██▌ | 18323/70000 [6:28:21<18:14:41, 1.27s/step] Training: 26%|██▌ | 18324/70000 [6:28:22<18:04:22, 1.26s/step] Training: 26%|██▌ | 18325/70000 [6:28:23<17:50:30, 1.24s/step] Training: 26%|██▌ | 18326/70000 [6:28:25<18:16:08, 1.27s/step] Training: 26%|██▌ | 18327/70000 [6:28:26<17:51:58, 1.24s/step] Training: 26%|██▌ | 18328/70000 [6:28:27<18:10:01, 1.27s/step] Training: 26%|██▌ | 18329/70000 [6:28:28<17:50:31, 1.24s/step] Training: 26%|██▌ | 18330/70000 [6:28:30<17:36:51, 1.23s/step] Training: 26%|██▌ | 18331/70000 [6:28:31<17:35:29, 1.23s/step] Training: 26%|██▌ | 18332/70000 [6:28:32<17:35:44, 1.23s/step] Training: 26%|██▌ | 18333/70000 [6:28:33<18:02:06, 1.26s/step] Training: 26%|██▌ | 18334/70000 [6:28:35<18:23:18, 1.28s/step] Training: 26%|██▌ | 18335/70000 [6:28:36<18:37:09, 1.30s/step] Training: 26%|██▌ | 18336/70000 [6:28:37<18:46:39, 1.31s/step] Training: 26%|██▌ | 18337/70000 [6:28:39<18:15:15, 1.27s/step] Training: 26%|██▌ | 18338/70000 [6:28:40<17:54:42, 1.25s/step] Training: 26%|██▌ | 18339/70000 [6:28:41<17:49:19, 1.24s/step] Training: 26%|██▌ | 18340/70000 [6:28:42<18:12:12, 1.27s/step] Training: 26%|██▌ | 18341/70000 [6:28:44<18:29:24, 1.29s/step] Training: 26%|██▌ | 18342/70000 [6:28:45<18:18:25, 1.28s/step] Training: 26%|██▌ | 18343/70000 [6:28:46<18:36:50, 1.30s/step] Training: 26%|██▌ | 18344/70000 [6:28:48<18:44:42, 1.31s/step] Training: 26%|██▌ | 18345/70000 [6:28:49<18:15:22, 1.27s/step] Training: 26%|██▌ | 18346/70000 [6:28:50<17:54:34, 1.25s/step] Training: 26%|██▌ | 18347/70000 [6:28:51<17:39:00, 1.23s/step] Training: 26%|██▌ | 18348/70000 [6:28:53<18:38:17, 1.30s/step] Training: 26%|██▌ | 18349/70000 [6:28:54<18:23:43, 1.28s/step] Training: 26%|██▌ | 18350/70000 [6:28:55<18:11:55, 1.27s/step] Training: 26%|██▌ | 18351/70000 [6:28:56<18:28:02, 1.29s/step] Training: 26%|██▌ | 18352/70000 [6:28:58<18:41:13, 1.30s/step] Training: 26%|██▌ | 18353/70000 [6:28:59<18:12:24, 1.27s/step] Training: 26%|██▌ | 18354/70000 [6:29:00<17:53:24, 1.25s/step] Training: 26%|██▌ | 18355/70000 [6:29:01<17:39:33, 1.23s/step] Training: 26%|██▌ | 18356/70000 [6:29:03<17:36:22, 1.23s/step] Training: 26%|██▌ | 18357/70000 [6:29:04<17:32:21, 1.22s/step] Training: 26%|██▌ | 18358/70000 [6:29:05<17:24:25, 1.21s/step] Training: 26%|██▌ | 18359/70000 [6:29:06<18:01:44, 1.26s/step] Training: 26%|██▌ | 18360/70000 [6:29:08<18:08:00, 1.26s/step] Training: 26%|██▌ | 18361/70000 [6:29:09<17:48:19, 1.24s/step] Training: 26%|██▌ | 18362/70000 [6:29:10<17:35:23, 1.23s/step] Training: 26%|██▌ | 18363/70000 [6:29:11<17:35:24, 1.23s/step] Training: 26%|██▌ | 18364/70000 [6:29:13<18:06:09, 1.26s/step] Training: 26%|██▌ | 18365/70000 [6:29:14<18:20:58, 1.28s/step] Training: 26%|██▌ | 18366/70000 [6:29:15<17:59:27, 1.25s/step] Training: 26%|██▌ | 18367/70000 [6:29:16<18:40:06, 1.30s/step] Training: 26%|██▌ | 18368/70000 [6:29:18<18:47:27, 1.31s/step] Training: 26%|██▌ | 18369/70000 [6:29:19<18:15:36, 1.27s/step] Training: 26%|██▌ | 18370/70000 [6:29:20<17:53:58, 1.25s/step] Training: 26%|██▌ | 18371/70000 [6:29:21<17:43:34, 1.24s/step] Training: 26%|██▌ | 18372/70000 [6:29:23<17:36:20, 1.23s/step] Training: 26%|██▌ | 18373/70000 [6:29:24<18:02:06, 1.26s/step] Training: 26%|██▌ | 18374/70000 [6:29:25<17:44:09, 1.24s/step] Training: 26%|██▋ | 18375/70000 [6:29:26<18:16:09, 1.27s/step] Training: 26%|██▋ | 18376/70000 [6:29:28<18:30:15, 1.29s/step] Training: 26%|██▋ | 18377/70000 [6:29:29<18:03:24, 1.26s/step] Training: 26%|██▋ | 18378/70000 [6:29:30<17:45:30, 1.24s/step] Training: 26%|██▋ | 18379/70000 [6:29:32<18:08:05, 1.26s/step] Training: 26%|██▋ | 18380/70000 [6:29:33<18:23:29, 1.28s/step] Training: 26%|██▋ | 18381/70000 [6:29:34<18:11:47, 1.27s/step] Training: 26%|██▋ | 18382/70000 [6:29:35<17:50:02, 1.24s/step] Training: 26%|██▋ | 18383/70000 [6:29:37<18:19:38, 1.28s/step] Training: 26%|██▋ | 18384/70000 [6:29:38<18:31:44, 1.29s/step] Training: 26%|██▋ | 18385/70000 [6:29:39<18:05:20, 1.26s/step] Training: 26%|██▋ | 18386/70000 [6:29:40<17:46:48, 1.24s/step] Training: 26%|██▋ | 18387/70000 [6:29:42<18:09:35, 1.27s/step] Training: 26%|██▋ | 18388/70000 [6:29:43<18:23:09, 1.28s/step] Training: 26%|██▋ | 18389/70000 [6:29:44<18:04:03, 1.26s/step] Training: 26%|██▋ | 18390/70000 [6:29:45<17:46:15, 1.24s/step] Training: 26%|██▋ | 18391/70000 [6:29:47<18:10:02, 1.27s/step] Training: 26%|██▋ | 18392/70000 [6:29:48<18:27:55, 1.29s/step] Training: 26%|██▋ | 18393/70000 [6:29:49<17:59:40, 1.26s/step] Training: 26%|██▋ | 18394/70000 [6:29:50<17:42:14, 1.24s/step] Training: 26%|██▋ | 18395/70000 [6:29:52<17:42:56, 1.24s/step] Training: 26%|██▋ | 18396/70000 [6:29:53<18:08:56, 1.27s/step] Training: 26%|██▋ | 18397/70000 [6:29:54<18:27:06, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=17286 Training: 26%|██▋ | 18398/70000 [6:29:55<18:01:59, 1.26s/step] Training: 26%|██▋ | 18399/70000 [6:29:57<17:49:07, 1.24s/step] Training: 26%|██▋ | 18400/70000 [6:29:58<18:31:18, 1.29s/step]INFO 2026-03-13 02:39:50 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.60 loss:0.085 grdn:10.268 lr:2.1e-05 updt_s:1.246 data_s:0.019 Training: 26%|██▋ | 18401/70000 [6:29:59<18:06:01, 1.26s/step] Training: 26%|██▋ | 18402/70000 [6:30:00<17:47:22, 1.24s/step] Training: 26%|██▋ | 18403/70000 [6:30:02<17:40:00, 1.23s/step] Training: 26%|██▋ | 18404/70000 [6:30:03<17:41:29, 1.23s/step] Training: 26%|██▋ | 18405/70000 [6:30:04<18:05:04, 1.26s/step] Training: 26%|██▋ | 18406/70000 [6:30:05<17:47:36, 1.24s/step] Training: 26%|██▋ | 18407/70000 [6:30:07<17:45:59, 1.24s/step] Training: 26%|██▋ | 18408/70000 [6:30:08<18:07:11, 1.26s/step] Training: 26%|██▋ | 18409/70000 [6:30:09<18:22:11, 1.28s/step] Training: 26%|██▋ | 18410/70000 [6:30:11<18:05:03, 1.26s/step] Training: 26%|██▋ | 18411/70000 [6:30:12<18:28:46, 1.29s/step] Training: 26%|██▋ | 18412/70000 [6:30:13<18:44:02, 1.31s/step] Training: 26%|██▋ | 18413/70000 [6:30:14<18:23:16, 1.28s/step] Training: 26%|██▋ | 18414/70000 [6:30:16<17:59:14, 1.26s/step] Training: 26%|██▋ | 18415/70000 [6:30:17<17:53:19, 1.25s/step] Training: 26%|██▋ | 18416/70000 [6:30:18<18:41:22, 1.30s/step] Training: 26%|██▋ | 18417/70000 [6:30:20<18:44:32, 1.31s/step] Training: 26%|██▋ | 18418/70000 [6:30:21<18:14:42, 1.27s/step] Training: 26%|██▋ | 18419/70000 [6:30:22<18:30:05, 1.29s/step] Training: 26%|██▋ | 18420/70000 [6:30:24<18:44:01, 1.31s/step] Training: 26%|██▋ | 18421/70000 [6:30:25<18:18:32, 1.28s/step] Training: 26%|██▋ | 18422/70000 [6:30:26<17:55:55, 1.25s/step] Training: 26%|██▋ | 18423/70000 [6:30:27<17:40:17, 1.23s/step] Training: 26%|██▋ | 18424/70000 [6:30:28<18:03:59, 1.26s/step] Training: 26%|██▋ | 18425/70000 [6:30:30<17:52:14, 1.25s/step] Training: 26%|██▋ | 18426/70000 [6:30:31<17:36:52, 1.23s/step] Training: 26%|██▋ | 18427/70000 [6:30:32<17:36:10, 1.23s/step] Training: 26%|██▋ | 18428/70000 [6:30:33<18:00:44, 1.26s/step] Training: 26%|██▋ | 18429/70000 [6:30:35<18:22:20, 1.28s/step] Training: 26%|██▋ | 18430/70000 [6:30:36<17:58:35, 1.25s/step] Training: 26%|██▋ | 18431/70000 [6:30:37<18:26:59, 1.29s/step] Training: 26%|██▋ | 18432/70000 [6:30:38<18:01:39, 1.26s/step] Training: 26%|██▋ | 18433/70000 [6:30:40<18:43:20, 1.31s/step] Training: 26%|██▋ | 18434/70000 [6:30:41<18:12:53, 1.27s/step] Training: 26%|██▋ | 18435/70000 [6:30:42<18:08:15, 1.27s/step] Training: 26%|██▋ | 18436/70000 [6:30:44<17:55:08, 1.25s/step] Training: 26%|██▋ | 18437/70000 [6:30:45<18:14:16, 1.27s/step] Training: 26%|██▋ | 18438/70000 [6:30:46<17:52:36, 1.25s/step] Training: 26%|██▋ | 18439/70000 [6:30:47<17:56:22, 1.25s/step] Training: 26%|██▋ | 18440/70000 [6:30:49<17:40:02, 1.23s/step] Training: 26%|██▋ | 18441/70000 [6:30:50<18:01:35, 1.26s/step] Training: 26%|██▋ | 18442/70000 [6:30:51<18:15:37, 1.28s/step] Training: 26%|██▋ | 18443/70000 [6:30:53<18:30:11, 1.29s/step] Training: 26%|██▋ | 18444/70000 [6:30:54<18:39:28, 1.30s/step] Training: 26%|██▋ | 18445/70000 [6:30:55<18:21:45, 1.28s/step] Training: 26%|██▋ | 18446/70000 [6:30:56<17:57:37, 1.25s/step] Training: 26%|██▋ | 18447/70000 [6:30:58<18:17:49, 1.28s/step] Training: 26%|██▋ | 18448/70000 [6:30:59<17:55:55, 1.25s/step] Training: 26%|██▋ | 18449/70000 [6:31:00<18:28:02, 1.29s/step] Training: 26%|██▋ | 18450/70000 [6:31:01<18:33:22, 1.30s/step] Training: 26%|██▋ | 18451/70000 [6:31:03<18:45:14, 1.31s/step] Training: 26%|██▋ | 18452/70000 [6:31:04<18:52:50, 1.32s/step] Training: 26%|██▋ | 18453/70000 [6:31:05<18:25:42, 1.29s/step] Training: 26%|██▋ | 18454/70000 [6:31:07<18:00:57, 1.26s/step] Training: 26%|██▋ | 18455/70000 [6:31:08<18:23:36, 1.28s/step] Training: 26%|██▋ | 18456/70000 [6:31:09<18:00:45, 1.26s/step] Training: 26%|██▋ | 18457/70000 [6:31:10<17:42:51, 1.24s/step] Training: 26%|██▋ | 18458/70000 [6:31:12<18:14:35, 1.27s/step] Training: 26%|██▋ | 18459/70000 [6:31:13<17:59:54, 1.26s/step] Training: 26%|██▋ | 18460/70000 [6:31:14<18:18:01, 1.28s/step] Training: 26%|██▋ | 18461/70000 [6:31:16<18:35:16, 1.30s/step] Training: 26%|██▋ | 18462/70000 [6:31:17<18:07:12, 1.27s/step] Training: 26%|██▋ | 18463/70000 [6:31:18<18:38:25, 1.30s/step] Training: 26%|██▋ | 18464/70000 [6:31:19<18:08:43, 1.27s/step] Training: 26%|██▋ | 18465/70000 [6:31:21<18:00:35, 1.26s/step] Training: 26%|██▋ | 18466/70000 [6:31:22<18:25:19, 1.29s/step] Training: 26%|██▋ | 18467/70000 [6:31:23<18:06:50, 1.27s/step] Training: 26%|██▋ | 18468/70000 [6:31:24<17:52:56, 1.25s/step] Training: 26%|██▋ | 18469/70000 [6:31:26<18:14:46, 1.27s/step] Training: 26%|██▋ | 18470/70000 [6:31:27<17:54:22, 1.25s/step] Training: 26%|██▋ | 18471/70000 [6:31:28<17:43:55, 1.24s/step] Training: 26%|██▋ | 18472/70000 [6:31:29<17:31:32, 1.22s/step] Training: 26%|██▋ | 18473/70000 [6:31:30<17:33:48, 1.23s/step] Training: 26%|██▋ | 18474/70000 [6:31:32<17:32:32, 1.23s/step] Training: 26%|██▋ | 18475/70000 [6:31:33<17:59:03, 1.26s/step] Training: 26%|██▋ | 18476/70000 [6:31:34<18:20:05, 1.28s/step] Training: 26%|██▋ | 18477/70000 [6:31:36<18:04:30, 1.26s/step] Training: 26%|██▋ | 18478/70000 [6:31:37<17:45:19, 1.24s/step] Training: 26%|██▋ | 18479/70000 [6:31:38<18:13:32, 1.27s/step] Training: 26%|██▋ | 18480/70000 [6:31:39<17:51:26, 1.25s/step] Training: 26%|██▋ | 18481/70000 [6:31:41<18:15:02, 1.28s/step] Training: 26%|██▋ | 18482/70000 [6:31:42<18:02:03, 1.26s/step] Training: 26%|██▋ | 18483/70000 [6:31:43<18:49:57, 1.32s/step] Training: 26%|██▋ | 18484/70000 [6:31:45<18:51:52, 1.32s/step] Training: 26%|██▋ | 18485/70000 [6:31:46<18:32:50, 1.30s/step] Training: 26%|██▋ | 18486/70000 [6:31:47<18:06:34, 1.27s/step] Training: 26%|██▋ | 18487/70000 [6:31:48<18:23:16, 1.29s/step] Training: 26%|██▋ | 18488/70000 [6:31:50<17:59:17, 1.26s/step] Training: 26%|██▋ | 18489/70000 [6:31:51<18:17:23, 1.28s/step] Training: 26%|██▋ | 18490/70000 [6:31:52<18:11:54, 1.27s/step] Training: 26%|██▋ | 18491/70000 [6:31:53<17:57:38, 1.26s/step] Training: 26%|██▋ | 18492/70000 [6:31:55<18:15:30, 1.28s/step] Training: 26%|██▋ | 18493/70000 [6:31:56<18:29:25, 1.29s/step] Training: 26%|██▋ | 18494/70000 [6:31:57<18:02:50, 1.26s/step] Training: 26%|██▋ | 18495/70000 [6:31:58<17:56:55, 1.25s/step] Training: 26%|██▋ | 18496/70000 [6:32:00<17:40:09, 1.24s/step] Training: 26%|██▋ | 18497/70000 [6:32:01<17:39:48, 1.23s/step] Training: 26%|██▋ | 18498/70000 [6:32:02<17:40:44, 1.24s/step] Training: 26%|██▋ | 18499/70000 [6:32:04<18:09:44, 1.27s/step] Training: 26%|██▋ | 18500/70000 [6:32:05<17:51:45, 1.25s/step]INFO 2026-03-13 02:41:57 ot_train.py:435 step:18K smpl:1M ep:4K epch:15.68 loss:0.086 grdn:8.755 lr:2.1e-05 updt_s:1.245 data_s:0.019 Training: 26%|██▋ | 18501/70000 [6:32:06<18:10:36, 1.27s/step] Training: 26%|██▋ | 18502/70000 [6:32:07<17:49:33, 1.25s/step] Training: 26%|██▋ | 18503/70000 [6:32:08<17:46:49, 1.24s/step] Training: 26%|██▋ | 18504/70000 [6:32:10<17:32:54, 1.23s/step] Training: 26%|██▋ | 18505/70000 [6:32:11<17:28:59, 1.22s/step] Training: 26%|██▋ | 18506/70000 [6:32:12<17:27:51, 1.22s/step] Training: 26%|██▋ | 18507/70000 [6:32:13<18:16:25, 1.28s/step] Training: 26%|██▋ | 18508/70000 [6:32:15<18:30:45, 1.29s/step] Training: 26%|██▋ | 18509/70000 [6:32:16<18:09:09, 1.27s/step] Training: 26%|██▋ | 18510/70000 [6:32:17<17:49:26, 1.25s/step] Training: 26%|██▋ | 18511/70000 [6:32:19<18:10:05, 1.27s/step] Training: 26%|██▋ | 18512/70000 [6:32:20<17:49:37, 1.25s/step] Training: 26%|██▋ | 18513/70000 [6:32:21<18:08:55, 1.27s/step] Training: 26%|██▋ | 18514/70000 [6:32:22<18:23:57, 1.29s/step] Training: 26%|██▋ | 18515/70000 [6:32:24<18:34:43, 1.30s/step] Training: 26%|██▋ | 18516/70000 [6:32:25<19:10:25, 1.34s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=13784 Training: 26%|██▋ | 18517/70000 [6:32:26<18:40:53, 1.31s/step] Training: 26%|██▋ | 18518/70000 [6:32:28<18:10:07, 1.27s/step] Training: 26%|██▋ | 18519/70000 [6:32:29<18:24:17, 1.29s/step] Training: 26%|██▋ | 18520/70000 [6:32:30<17:58:43, 1.26s/step] Training: 26%|██▋ | 18521/70000 [6:32:31<18:15:31, 1.28s/step] Training: 26%|██▋ | 18522/70000 [6:32:33<18:29:04, 1.29s/step] Training: 26%|██▋ | 18523/70000 [6:32:34<18:52:42, 1.32s/step] Training: 26%|██▋ | 18524/70000 [6:32:35<18:51:46, 1.32s/step] Training: 26%|██▋ | 18525/70000 [6:32:37<18:18:53, 1.28s/step] Training: 26%|██▋ | 18526/70000 [6:32:38<18:29:12, 1.29s/step] Training: 26%|██▋ | 18527/70000 [6:32:39<18:54:18, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=30052 Training: 26%|██▋ | 18528/70000 [6:32:41<18:20:36, 1.28s/step] Training: 26%|██▋ | 18529/70000 [6:32:42<18:07:22, 1.27s/step] Training: 26%|██▋ | 18530/70000 [6:32:43<17:59:17, 1.26s/step] Training: 26%|██▋ | 18531/70000 [6:32:44<17:44:42, 1.24s/step] Training: 26%|██▋ | 18532/70000 [6:32:46<18:10:27, 1.27s/step] Training: 26%|██▋ | 18533/70000 [6:32:47<18:23:12, 1.29s/step] Training: 26%|██▋ | 18534/70000 [6:32:48<17:59:14, 1.26s/step] Training: 26%|██▋ | 18535/70000 [6:32:49<17:52:41, 1.25s/step] Training: 26%|██▋ | 18536/70000 [6:32:50<17:36:36, 1.23s/step] Training: 26%|██▋ | 18537/70000 [6:32:52<17:32:09, 1.23s/step] Training: 26%|██▋ | 18538/70000 [6:32:53<17:26:57, 1.22s/step] Training: 26%|██▋ | 18539/70000 [6:32:54<17:55:52, 1.25s/step] Training: 26%|██▋ | 18540/70000 [6:32:56<18:38:14, 1.30s/step] Training: 26%|██▋ | 18541/70000 [6:32:57<18:13:21, 1.27s/step] Training: 26%|██▋ | 18542/70000 [6:32:58<17:50:09, 1.25s/step] Training: 26%|██▋ | 18543/70000 [6:32:59<18:10:10, 1.27s/step] Training: 26%|██▋ | 18544/70000 [6:33:01<17:48:45, 1.25s/step] Training: 26%|██▋ | 18545/70000 [6:33:02<18:08:49, 1.27s/step] Training: 26%|██▋ | 18546/70000 [6:33:03<18:22:41, 1.29s/step] Training: 26%|██▋ | 18547/70000 [6:33:05<18:34:40, 1.30s/step] Training: 26%|██▋ | 18548/70000 [6:33:06<18:42:40, 1.31s/step] Training: 26%|██▋ | 18549/70000 [6:33:07<18:20:20, 1.28s/step] Training: 26%|██▋ | 18550/70000 [6:33:08<17:56:20, 1.26s/step] Training: 27%|██▋ | 18551/70000 [6:33:10<18:17:21, 1.28s/step] Training: 27%|██▋ | 18552/70000 [6:33:11<17:54:01, 1.25s/step] Training: 27%|██▋ | 18553/70000 [6:33:12<18:11:48, 1.27s/step] Training: 27%|██▋ | 18554/70000 [6:33:13<18:27:05, 1.29s/step] Training: 27%|██▋ | 18555/70000 [6:33:15<18:10:06, 1.27s/step] Training: 27%|██▋ | 18556/70000 [6:33:16<18:00:50, 1.26s/step] Training: 27%|██▋ | 18557/70000 [6:33:17<17:42:17, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=17286 Training: 27%|██▋ | 18558/70000 [6:33:18<18:04:06, 1.26s/step] Training: 27%|██▋ | 18559/70000 [6:33:20<18:30:32, 1.30s/step] Training: 27%|██▋ | 18560/70000 [6:33:21<18:02:37, 1.26s/step] Training: 27%|██▋ | 18561/70000 [6:33:22<17:55:16, 1.25s/step] Training: 27%|██▋ | 18562/70000 [6:33:23<17:43:43, 1.24s/step] Training: 27%|██▋ | 18563/70000 [6:33:25<17:33:37, 1.23s/step] Training: 27%|██▋ | 18564/70000 [6:33:26<17:39:34, 1.24s/step] Training: 27%|██▋ | 18565/70000 [6:33:27<18:02:18, 1.26s/step] Training: 27%|██▋ | 18566/70000 [6:33:28<17:43:51, 1.24s/step] Training: 27%|██▋ | 18567/70000 [6:33:30<17:42:48, 1.24s/step] Training: 27%|██▋ | 18568/70000 [6:33:31<17:30:20, 1.23s/step] Training: 27%|██▋ | 18569/70000 [6:33:32<17:28:26, 1.22s/step] Training: 27%|██▋ | 18570/70000 [6:33:33<17:32:17, 1.23s/step] Training: 27%|██▋ | 18571/70000 [6:33:35<17:55:55, 1.26s/step] Training: 27%|██▋ | 18572/70000 [6:33:36<18:19:10, 1.28s/step] Training: 27%|██▋ | 18573/70000 [6:33:37<18:33:11, 1.30s/step] Training: 27%|██▋ | 18574/70000 [6:33:38<18:04:04, 1.26s/step] Training: 27%|██▋ | 18575/70000 [6:33:40<18:19:45, 1.28s/step] Training: 27%|██▋ | 18576/70000 [6:33:41<17:56:39, 1.26s/step] Training: 27%|██▋ | 18577/70000 [6:33:42<18:16:42, 1.28s/step] Training: 27%|██▋ | 18578/70000 [6:33:44<17:53:22, 1.25s/step] Training: 27%|██▋ | 18579/70000 [6:33:45<18:31:49, 1.30s/step] Training: 27%|██▋ | 18580/70000 [6:33:46<18:38:25, 1.31s/step] Training: 27%|██▋ | 18581/70000 [6:33:47<18:29:20, 1.29s/step] Training: 27%|██▋ | 18582/70000 [6:33:49<18:03:35, 1.26s/step] Training: 27%|██▋ | 18583/70000 [6:33:50<18:20:23, 1.28s/step] Training: 27%|██▋ | 18584/70000 [6:33:51<17:57:14, 1.26s/step] Training: 27%|██▋ | 18585/70000 [6:33:53<18:16:30, 1.28s/step] Training: 27%|██▋ | 18586/70000 [6:33:54<17:52:43, 1.25s/step] Training: 27%|██▋ | 18587/70000 [6:33:55<18:20:57, 1.28s/step] Training: 27%|██▋ | 18588/70000 [6:33:56<18:08:58, 1.27s/step] Training: 27%|██▋ | 18589/70000 [6:33:58<17:57:45, 1.26s/step] Training: 27%|██▋ | 18590/70000 [6:33:59<18:04:47, 1.27s/step] Training: 27%|██▋ | 18591/70000 [6:34:00<18:31:42, 1.30s/step] Training: 27%|██▋ | 18592/70000 [6:34:01<18:03:36, 1.26s/step] Training: 27%|██▋ | 18593/70000 [6:34:03<17:59:13, 1.26s/step] Training: 27%|██▋ | 18594/70000 [6:34:04<17:53:21, 1.25s/step] Training: 27%|██▋ | 18595/70000 [6:34:05<17:44:32, 1.24s/step] Training: 27%|██▋ | 18596/70000 [6:34:06<17:37:28, 1.23s/step] Training: 27%|██▋ | 18597/70000 [6:34:08<18:00:04, 1.26s/step] Training: 27%|██▋ | 18598/70000 [6:34:09<18:21:50, 1.29s/step] Training: 27%|██▋ | 18599/70000 [6:34:10<18:08:56, 1.27s/step] Training: 27%|██▋ | 18600/70000 [6:34:11<17:48:35, 1.25s/step]INFO 2026-03-13 02:44:04 ot_train.py:435 step:19K smpl:1M ep:4K epch:15.77 loss:0.083 grdn:9.300 lr:2.1e-05 updt_s:1.246 data_s:0.019 Training: 27%|██▋ | 18601/70000 [6:34:13<17:42:52, 1.24s/step] Training: 27%|██▋ | 18602/70000 [6:34:14<17:35:06, 1.23s/step] Training: 27%|██▋ | 18603/70000 [6:34:15<18:02:28, 1.26s/step] Training: 27%|██▋ | 18604/70000 [6:34:17<18:18:22, 1.28s/step] Training: 27%|██▋ | 18605/70000 [6:34:18<17:56:44, 1.26s/step] Training: 27%|██▋ | 18606/70000 [6:34:19<18:01:16, 1.26s/step] Training: 27%|██▋ | 18607/70000 [6:34:20<18:14:49, 1.28s/step] Training: 27%|██▋ | 18608/70000 [6:34:22<17:52:06, 1.25s/step] Training: 27%|██▋ | 18609/70000 [6:34:23<18:14:43, 1.28s/step] Training: 27%|██▋ | 18610/70000 [6:34:24<18:28:48, 1.29s/step] Training: 27%|██▋ | 18611/70000 [6:34:25<18:35:45, 1.30s/step] Training: 27%|██▋ | 18612/70000 [6:34:27<18:41:03, 1.31s/step] Training: 27%|██▋ | 18613/70000 [6:34:28<18:19:08, 1.28s/step] Training: 27%|██▋ | 18614/70000 [6:34:29<17:56:49, 1.26s/step] Training: 27%|██▋ | 18615/70000 [6:34:31<18:47:26, 1.32s/step] Training: 27%|██▋ | 18616/70000 [6:34:32<18:16:34, 1.28s/step] Training: 27%|██▋ | 18617/70000 [6:34:33<18:26:44, 1.29s/step] Training: 27%|██▋ | 18618/70000 [6:34:35<18:34:52, 1.30s/step] Training: 27%|██▋ | 18619/70000 [6:34:36<18:17:40, 1.28s/step] Training: 27%|██▋ | 18620/70000 [6:34:37<18:01:27, 1.26s/step] Training: 27%|██▋ | 18621/70000 [6:34:38<17:42:21, 1.24s/step] Training: 27%|██▋ | 18622/70000 [6:34:40<18:33:22, 1.30s/step] Training: 27%|██▋ | 18623/70000 [6:34:41<18:50:48, 1.32s/step] Training: 27%|██▋ | 18624/70000 [6:34:42<18:16:17, 1.28s/step] Training: 27%|██▋ | 18625/70000 [6:34:43<18:04:13, 1.27s/step] Training: 27%|██▋ | 18626/70000 [6:34:45<17:57:26, 1.26s/step] Training: 27%|██▋ | 18627/70000 [6:34:46<17:44:34, 1.24s/step] Training: 27%|██▋ | 18628/70000 [6:34:47<17:37:01, 1.23s/step] Training: 27%|██▋ | 18629/70000 [6:34:48<17:26:55, 1.22s/step] Training: 27%|██▋ | 18630/70000 [6:34:49<17:19:16, 1.21s/step] Training: 27%|██▋ | 18631/70000 [6:34:51<17:55:10, 1.26s/step] Training: 27%|██▋ | 18632/70000 [6:34:52<17:39:07, 1.24s/step] Training: 27%|██▋ | 18633/70000 [6:34:53<17:31:07, 1.23s/step] Training: 27%|██▋ | 18634/70000 [6:34:54<17:27:57, 1.22s/step] Training: 27%|██▋ | 18635/70000 [6:34:56<17:54:39, 1.26s/step] Training: 27%|██▋ | 18636/70000 [6:34:57<18:12:33, 1.28s/step] Training: 27%|██▋ | 18637/70000 [6:34:58<18:01:37, 1.26s/step] Training: 27%|██▋ | 18638/70000 [6:35:00<17:47:20, 1.25s/step] Training: 27%|██▋ | 18639/70000 [6:35:01<18:36:35, 1.30s/step] Training: 27%|██▋ | 18640/70000 [6:35:02<18:07:48, 1.27s/step] Training: 27%|██▋ | 18641/70000 [6:35:03<17:46:37, 1.25s/step] Training: 27%|██▋ | 18642/70000 [6:35:05<18:44:14, 1.31s/step] Training: 27%|██▋ | 18643/70000 [6:35:06<18:47:41, 1.32s/step] Training: 27%|██▋ | 18644/70000 [6:35:07<18:50:15, 1.32s/step] Training: 27%|██▋ | 18645/70000 [6:35:09<18:21:56, 1.29s/step] Training: 27%|██▋ | 18646/70000 [6:35:10<17:56:19, 1.26s/step] Training: 27%|██▋ | 18647/70000 [6:35:11<18:17:50, 1.28s/step] Training: 27%|██▋ | 18648/70000 [6:35:12<17:53:08, 1.25s/step] Training: 27%|██▋ | 18649/70000 [6:35:14<18:10:16, 1.27s/step] Training: 27%|██▋ | 18650/70000 [6:35:15<18:30:02, 1.30s/step] Training: 27%|██▋ | 18651/70000 [6:35:16<18:10:23, 1.27s/step] Training: 27%|██▋ | 18652/70000 [6:35:18<17:58:27, 1.26s/step] Training: 27%|██▋ | 18653/70000 [6:35:19<18:16:28, 1.28s/step] Training: 27%|██▋ | 18654/70000 [6:35:20<17:52:53, 1.25s/step] Training: 27%|██▋ | 18655/70000 [6:35:21<18:27:29, 1.29s/step] Training: 27%|██▋ | 18656/70000 [6:35:23<18:00:10, 1.26s/step] Training: 27%|██▋ | 18657/70000 [6:35:24<17:44:51, 1.24s/step] Training: 27%|██▋ | 18658/70000 [6:35:25<17:40:48, 1.24s/step] Training: 27%|██▋ | 18659/70000 [6:35:26<17:33:39, 1.23s/step] Training: 27%|██▋ | 18660/70000 [6:35:27<17:26:31, 1.22s/step] Training: 27%|██▋ | 18661/70000 [6:35:29<17:52:55, 1.25s/step] Training: 27%|██▋ | 18662/70000 [6:35:30<17:36:06, 1.23s/step] Training: 27%|██▋ | 18663/70000 [6:35:31<17:50:34, 1.25s/step] Training: 27%|██▋ | 18664/70000 [6:35:32<17:33:32, 1.23s/step] Training: 27%|██▋ | 18665/70000 [6:35:34<17:32:29, 1.23s/step] Training: 27%|██▋ | 18666/70000 [6:35:35<17:25:36, 1.22s/step] Training: 27%|██▋ | 18667/70000 [6:35:36<17:54:13, 1.26s/step] Training: 27%|██▋ | 18668/70000 [6:35:38<18:10:24, 1.27s/step] Training: 27%|██▋ | 18669/70000 [6:35:39<18:02:02, 1.26s/step] Training: 27%|██▋ | 18670/70000 [6:35:40<17:43:37, 1.24s/step] Training: 27%|██▋ | 18671/70000 [6:35:41<18:09:35, 1.27s/step] Training: 27%|██▋ | 18672/70000 [6:35:43<18:27:46, 1.29s/step] Training: 27%|██▋ | 18673/70000 [6:35:44<17:57:46, 1.26s/step] Training: 27%|██▋ | 18674/70000 [6:35:45<18:54:17, 1.33s/step] Training: 27%|██▋ | 18675/70000 [6:35:47<18:54:27, 1.33s/step] Training: 27%|██▋ | 18676/70000 [6:35:48<18:53:47, 1.33s/step] Training: 27%|██▋ | 18677/70000 [6:35:49<18:27:02, 1.29s/step] Training: 27%|██▋ | 18678/70000 [6:35:50<17:59:54, 1.26s/step] Training: 27%|██▋ | 18679/70000 [6:35:52<18:17:29, 1.28s/step] Training: 27%|██▋ | 18680/70000 [6:35:53<18:16:09, 1.28s/step] Training: 27%|██▋ | 18681/70000 [6:35:54<18:27:40, 1.30s/step] Training: 27%|██▋ | 18682/70000 [6:35:56<18:34:02, 1.30s/step] Training: 27%|██▋ | 18683/70000 [6:35:57<18:18:57, 1.28s/step] Training: 27%|██▋ | 18684/70000 [6:35:58<18:06:49, 1.27s/step] Training: 27%|██▋ | 18685/70000 [6:35:59<18:24:31, 1.29s/step] Training: 27%|██▋ | 18686/70000 [6:36:01<17:58:22, 1.26s/step] Training: 27%|██▋ | 18687/70000 [6:36:02<18:27:09, 1.29s/step] Training: 27%|██▋ | 18688/70000 [6:36:03<18:41:32, 1.31s/step] Training: 27%|██▋ | 18689/70000 [6:36:05<18:08:16, 1.27s/step] Training: 27%|██▋ | 18690/70000 [6:36:06<17:57:51, 1.26s/step] Training: 27%|██▋ | 18691/70000 [6:36:07<17:47:28, 1.25s/step] Training: 27%|██▋ | 18692/70000 [6:36:08<17:37:30, 1.24s/step] Training: 27%|██▋ | 18693/70000 [6:36:10<18:03:39, 1.27s/step] Training: 27%|██▋ | 18694/70000 [6:36:11<17:43:06, 1.24s/step] Training: 27%|██▋ | 18695/70000 [6:36:12<17:38:17, 1.24s/step] Training: 27%|██▋ | 18696/70000 [6:36:13<18:08:42, 1.27s/step] Training: 27%|██▋ | 18697/70000 [6:36:15<17:54:33, 1.26s/step] Training: 27%|██▋ | 18698/70000 [6:36:16<17:43:52, 1.24s/step] Training: 27%|██▋ | 18699/70000 [6:36:17<18:07:00, 1.27s/step] Training: 27%|██▋ | 18700/70000 [6:36:18<18:20:44, 1.29s/step]INFO 2026-03-13 02:46:11 ot_train.py:435 step:19K smpl:1M ep:4K epch:15.85 loss:0.085 grdn:9.082 lr:2.1e-05 updt_s:1.249 data_s:0.019 Training: 27%|██▋ | 18701/70000 [6:36:20<18:08:46, 1.27s/step] Training: 27%|██▋ | 18702/70000 [6:36:21<17:46:49, 1.25s/step] Training: 27%|██▋ | 18703/70000 [6:36:22<18:09:14, 1.27s/step] Training: 27%|██▋ | 18704/70000 [6:36:23<17:47:50, 1.25s/step] Training: 27%|██▋ | 18705/70000 [6:36:25<18:12:22, 1.28s/step] Training: 27%|██▋ | 18706/70000 [6:36:26<18:14:00, 1.28s/step] Training: 27%|██▋ | 18707/70000 [6:36:27<18:47:43, 1.32s/step] Training: 27%|██▋ | 18708/70000 [6:36:29<18:51:10, 1.32s/step] Training: 27%|██▋ | 18709/70000 [6:36:30<18:23:11, 1.29s/step] Training: 27%|██▋ | 18710/70000 [6:36:31<17:57:32, 1.26s/step] Training: 27%|██▋ | 18711/70000 [6:36:32<18:15:55, 1.28s/step] Training: 27%|██▋ | 18712/70000 [6:36:34<17:51:59, 1.25s/step] Training: 27%|██▋ | 18713/70000 [6:36:35<18:30:42, 1.30s/step] Training: 27%|██▋ | 18714/70000 [6:36:36<18:02:49, 1.27s/step] Training: 27%|██▋ | 18715/70000 [6:36:37<17:58:02, 1.26s/step] Training: 27%|██▋ | 18716/70000 [6:36:39<17:52:54, 1.26s/step] Training: 27%|██▋ | 18717/70000 [6:36:40<18:12:53, 1.28s/step] Training: 27%|██▋ | 18718/70000 [6:36:41<17:49:13, 1.25s/step] Training: 27%|██▋ | 18719/70000 [6:36:42<17:44:27, 1.25s/step] Training: 27%|██▋ | 18720/70000 [6:36:44<17:30:10, 1.23s/step] Training: 27%|██▋ | 18721/70000 [6:36:45<17:23:17, 1.22s/step] Training: 27%|██▋ | 18722/70000 [6:36:46<17:16:45, 1.21s/step] Training: 27%|██▋ | 18723/70000 [6:36:47<17:16:04, 1.21s/step] Training: 27%|██▋ | 18724/70000 [6:36:49<17:15:54, 1.21s/step] Training: 27%|██▋ | 18725/70000 [6:36:50<17:48:17, 1.25s/step] Training: 27%|██▋ | 18726/70000 [6:36:51<17:32:44, 1.23s/step] Training: 27%|██▋ | 18727/70000 [6:36:52<17:38:12, 1.24s/step] Training: 27%|██▋ | 18728/70000 [6:36:53<17:26:04, 1.22s/step] Training: 27%|██▋ | 18729/70000 [6:36:55<18:00:52, 1.26s/step] Training: 27%|██▋ | 18730/70000 [6:36:56<17:41:32, 1.24s/step] Training: 27%|██▋ | 18731/70000 [6:36:57<18:03:58, 1.27s/step] Training: 27%|██▋ | 18732/70000 [6:36:59<18:21:27, 1.29s/step] Training: 27%|██▋ | 18733/70000 [6:37:00<18:05:27, 1.27s/step] Training: 27%|██▋ | 18734/70000 [6:37:01<17:43:54, 1.25s/step] Training: 27%|██▋ | 18735/70000 [6:37:02<18:07:54, 1.27s/step] Training: 27%|██▋ | 18736/70000 [6:37:04<17:48:23, 1.25s/step] Training: 27%|██▋ | 18737/70000 [6:37:05<17:47:04, 1.25s/step] Training: 27%|██▋ | 18738/70000 [6:37:06<17:52:03, 1.25s/step] Training: 27%|██▋ | 18739/70000 [6:37:07<18:13:15, 1.28s/step] Training: 27%|██▋ | 18740/70000 [6:37:09<18:25:07, 1.29s/step] Training: 27%|██▋ | 18741/70000 [6:37:10<18:02:39, 1.27s/step] Training: 27%|██▋ | 18742/70000 [6:37:11<17:42:05, 1.24s/step] Training: 27%|██▋ | 18743/70000 [6:37:13<18:04:25, 1.27s/step] Training: 27%|██▋ | 18744/70000 [6:37:14<17:43:06, 1.24s/step] Training: 27%|██▋ | 18745/70000 [6:37:15<18:05:13, 1.27s/step] Training: 27%|██▋ | 18746/70000 [6:37:16<18:22:37, 1.29s/step] Training: 27%|██▋ | 18747/70000 [6:37:18<18:38:35, 1.31s/step] Training: 27%|██▋ | 18748/70000 [6:37:19<18:18:57, 1.29s/step] Training: 27%|██▋ | 18749/70000 [6:37:20<18:29:48, 1.30s/step] Training: 27%|██▋ | 18750/70000 [6:37:22<18:02:03, 1.27s/step] Training: 27%|██▋ | 18751/70000 [6:37:23<18:28:21, 1.30s/step] Training: 27%|██▋ | 18752/70000 [6:37:24<18:00:08, 1.26s/step] Training: 27%|██▋ | 18753/70000 [6:37:25<17:46:29, 1.25s/step] Training: 27%|██▋ | 18754/70000 [6:37:27<17:48:53, 1.25s/step] Training: 27%|██▋ | 18755/70000 [6:37:28<17:39:20, 1.24s/step] Training: 27%|██▋ | 18756/70000 [6:37:29<17:31:42, 1.23s/step] Training: 27%|██▋ | 18757/70000 [6:37:30<17:56:47, 1.26s/step] Training: 27%|██▋ | 18758/70000 [6:37:31<17:37:51, 1.24s/step] Training: 27%|██▋ | 18759/70000 [6:37:33<17:42:01, 1.24s/step] Training: 27%|██▋ | 18760/70000 [6:37:34<17:29:22, 1.23s/step] Training: 27%|██▋ | 18761/70000 [6:37:35<17:30:33, 1.23s/step] Training: 27%|██▋ | 18762/70000 [6:37:36<17:20:22, 1.22s/step] Training: 27%|██▋ | 18763/70000 [6:37:38<18:20:06, 1.29s/step] Training: 27%|██▋ | 18764/70000 [6:37:39<18:30:20, 1.30s/step] Training: 27%|██▋ | 18765/70000 [6:37:40<18:09:57, 1.28s/step] Training: 27%|██▋ | 18766/70000 [6:37:42<17:47:28, 1.25s/step] Training: 27%|██▋ | 18767/70000 [6:37:43<18:10:25, 1.28s/step] Training: 27%|██▋ | 18768/70000 [6:37:44<17:47:19, 1.25s/step] Training: 27%|██▋ | 18769/70000 [6:37:45<17:32:01, 1.23s/step] Training: 27%|██▋ | 18770/70000 [6:37:47<18:28:43, 1.30s/step] Training: 27%|██▋ | 18771/70000 [6:37:48<18:34:56, 1.31s/step] Training: 27%|██▋ | 18772/70000 [6:37:49<18:41:20, 1.31s/step] Training: 27%|██▋ | 18773/70000 [6:37:51<18:18:58, 1.29s/step] Training: 27%|██▋ | 18774/70000 [6:37:52<17:56:13, 1.26s/step] Training: 27%|██▋ | 18775/70000 [6:37:53<18:12:00, 1.28s/step] Training: 27%|██▋ | 18776/70000 [6:37:54<17:50:29, 1.25s/step] Training: 27%|██▋ | 18777/70000 [6:37:55<17:35:16, 1.24s/step] Training: 27%|██▋ | 18778/70000 [6:37:57<17:23:03, 1.22s/step] Training: 27%|██▋ | 18779/70000 [6:37:58<18:12:44, 1.28s/step] Training: 27%|██▋ | 18780/70000 [6:37:59<18:01:47, 1.27s/step] Training: 27%|██▋ | 18781/70000 [6:38:01<18:17:20, 1.29s/step] Training: 27%|██▋ | 18782/70000 [6:38:02<17:53:42, 1.26s/step] Training: 27%|██▋ | 18783/70000 [6:38:03<18:21:41, 1.29s/step] Training: 27%|██▋ | 18784/70000 [6:38:04<17:55:27, 1.26s/step] Training: 27%|██▋ | 18785/70000 [6:38:06<17:40:46, 1.24s/step] Training: 27%|██▋ | 18786/70000 [6:38:07<17:27:28, 1.23s/step] Training: 27%|██▋ | 18787/70000 [6:38:08<17:57:24, 1.26s/step] Training: 27%|██▋ | 18788/70000 [6:38:09<17:40:36, 1.24s/step] Training: 27%|██▋ | 18789/70000 [6:38:11<18:06:46, 1.27s/step] Training: 27%|██▋ | 18790/70000 [6:38:12<17:44:33, 1.25s/step] Training: 27%|██▋ | 18791/70000 [6:38:13<17:46:48, 1.25s/step] Training: 27%|██▋ | 18792/70000 [6:38:14<17:35:55, 1.24s/step] Training: 27%|██▋ | 18793/70000 [6:38:16<17:57:19, 1.26s/step] Training: 27%|██▋ | 18794/70000 [6:38:17<17:40:44, 1.24s/step] Training: 27%|██▋ | 18795/70000 [6:38:18<18:02:57, 1.27s/step] Training: 27%|██▋ | 18796/70000 [6:38:20<18:16:50, 1.29s/step] Training: 27%|██▋ | 18797/70000 [6:38:21<18:01:36, 1.27s/step] Training: 27%|██▋ | 18798/70000 [6:38:22<17:41:24, 1.24s/step] Training: 27%|██▋ | 18799/70000 [6:38:23<18:03:19, 1.27s/step] Training: 27%|██▋ | 18800/70000 [6:38:24<17:43:33, 1.25s/step]INFO 2026-03-13 02:48:17 ot_train.py:435 step:19K smpl:1M ep:4K epch:15.93 loss:0.083 grdn:9.577 lr:2.1e-05 updt_s:1.240 data_s:0.019 Training: 27%|██▋ | 18801/70000 [6:38:26<17:34:10, 1.24s/step] Training: 27%|██▋ | 18802/70000 [6:38:27<17:22:31, 1.22s/step] Training: 27%|██▋ | 18803/70000 [6:38:28<18:05:38, 1.27s/step] Training: 27%|██▋ | 18804/70000 [6:38:30<18:21:28, 1.29s/step] Training: 27%|██▋ | 18805/70000 [6:38:31<18:02:53, 1.27s/step] Training: 27%|██▋ | 18806/70000 [6:38:32<17:42:23, 1.25s/step] Training: 27%|██▋ | 18807/70000 [6:38:33<18:03:23, 1.27s/step] Training: 27%|██▋ | 18808/70000 [6:38:34<17:42:02, 1.24s/step] Training: 27%|██▋ | 18809/70000 [6:38:36<18:02:03, 1.27s/step] Training: 27%|██▋ | 18810/70000 [6:38:37<17:42:45, 1.25s/step] Training: 27%|██▋ | 18811/70000 [6:38:38<18:15:43, 1.28s/step] Training: 27%|██▋ | 18812/70000 [6:38:40<18:06:13, 1.27s/step] Training: 27%|██▋ | 18813/70000 [6:38:41<18:22:32, 1.29s/step] Training: 27%|██▋ | 18814/70000 [6:38:42<17:56:14, 1.26s/step] Training: 27%|██▋ | 18815/70000 [6:38:44<18:25:44, 1.30s/step] Training: 27%|██▋ | 18816/70000 [6:38:45<17:58:48, 1.26s/step] Training: 27%|██▋ | 18817/70000 [6:38:46<18:13:33, 1.28s/step] Training: 27%|██▋ | 18818/70000 [6:38:47<17:49:32, 1.25s/step] Training: 27%|██▋ | 18819/70000 [6:38:48<17:41:03, 1.24s/step] Training: 27%|██▋ | 18820/70000 [6:38:50<18:08:40, 1.28s/step] Training: 27%|██▋ | 18821/70000 [6:38:51<18:18:56, 1.29s/step] Training: 27%|██▋ | 18822/70000 [6:38:52<17:53:00, 1.26s/step] Training: 27%|██▋ | 18823/70000 [6:38:54<17:46:32, 1.25s/step] Training: 27%|██▋ | 18824/70000 [6:38:55<17:33:02, 1.23s/step] Training: 27%|██▋ | 18825/70000 [6:38:56<17:57:33, 1.26s/step] Training: 27%|██▋ | 18826/70000 [6:38:57<17:38:56, 1.24s/step] Training: 27%|██▋ | 18827/70000 [6:38:59<18:00:23, 1.27s/step] Training: 27%|██▋ | 18828/70000 [6:39:00<18:11:24, 1.28s/step] Training: 27%|██▋ | 18829/70000 [6:39:01<18:19:55, 1.29s/step] Training: 27%|██▋ | 18830/70000 [6:39:02<17:56:32, 1.26s/step] Training: 27%|██▋ | 18831/70000 [6:39:04<17:43:34, 1.25s/step] Training: 27%|██▋ | 18832/70000 [6:39:05<18:05:01, 1.27s/step] Training: 27%|██▋ | 18833/70000 [6:39:06<17:49:22, 1.25s/step] Training: 27%|██▋ | 18834/70000 [6:39:07<17:32:13, 1.23s/step] Training: 27%|██▋ | 18835/70000 [6:39:09<17:58:43, 1.27s/step] Training: 27%|██▋ | 18836/70000 [6:39:10<18:24:29, 1.30s/step] Training: 27%|██▋ | 18837/70000 [6:39:11<17:59:52, 1.27s/step] Training: 27%|██▋ | 18838/70000 [6:39:12<17:40:20, 1.24s/step] Training: 27%|██▋ | 18839/70000 [6:39:14<17:26:18, 1.23s/step] Training: 27%|██▋ | 18840/70000 [6:39:15<17:48:31, 1.25s/step] Training: 27%|██▋ | 18841/70000 [6:39:16<18:07:53, 1.28s/step] Training: 27%|██▋ | 18842/70000 [6:39:17<17:47:07, 1.25s/step] Training: 27%|██▋ | 18843/70000 [6:39:19<18:15:48, 1.29s/step] Training: 27%|██▋ | 18844/70000 [6:39:20<18:40:35, 1.31s/step] Training: 27%|██▋ | 18845/70000 [6:39:22<18:41:08, 1.31s/step] Training: 27%|██▋ | 18846/70000 [6:39:23<18:11:18, 1.28s/step] Training: 27%|██▋ | 18847/70000 [6:39:24<18:22:50, 1.29s/step] Training: 27%|██▋ | 18848/70000 [6:39:25<18:03:26, 1.27s/step] Training: 27%|██▋ | 18849/70000 [6:39:27<18:17:21, 1.29s/step] Training: 27%|██▋ | 18850/70000 [6:39:28<17:53:59, 1.26s/step] Training: 27%|██▋ | 18851/70000 [6:39:29<17:43:29, 1.25s/step] Training: 27%|██▋ | 18852/70000 [6:39:30<17:35:31, 1.24s/step] Training: 27%|██▋ | 18853/70000 [6:39:32<18:28:19, 1.30s/step] Training: 27%|██▋ | 18854/70000 [6:39:33<18:01:38, 1.27s/step] Training: 27%|██▋ | 18855/70000 [6:39:34<17:44:34, 1.25s/step] Training: 27%|██▋ | 18856/70000 [6:39:35<18:04:46, 1.27s/step] Training: 27%|██▋ | 18857/70000 [6:39:37<18:19:41, 1.29s/step] Training: 27%|██▋ | 18858/70000 [6:39:38<17:53:08, 1.26s/step] Training: 27%|██▋ | 18859/70000 [6:39:39<18:11:06, 1.28s/step] Training: 27%|██▋ | 18860/70000 [6:39:40<17:49:00, 1.25s/step] Training: 27%|██▋ | 18861/70000 [6:39:42<18:10:28, 1.28s/step] Training: 27%|██▋ | 18862/70000 [6:39:43<17:46:56, 1.25s/step] Training: 27%|██▋ | 18863/70000 [6:39:44<17:43:07, 1.25s/step] Training: 27%|██▋ | 18864/70000 [6:39:46<18:05:05, 1.27s/step] Training: 27%|██▋ | 18865/70000 [6:39:47<17:48:51, 1.25s/step] Training: 27%|██▋ | 18866/70000 [6:39:48<17:32:40, 1.24s/step] Training: 27%|██▋ | 18867/70000 [6:39:49<17:58:20, 1.27s/step] Training: 27%|██▋ | 18868/70000 [6:39:50<17:39:02, 1.24s/step] Training: 27%|██▋ | 18869/70000 [6:39:52<17:39:51, 1.24s/step] Training: 27%|██▋ | 18870/70000 [6:39:53<17:27:36, 1.23s/step] Training: 27%|██▋ | 18871/70000 [6:39:54<17:17:36, 1.22s/step] Training: 27%|██▋ | 18872/70000 [6:39:55<17:39:43, 1.24s/step] Training: 27%|██▋ | 18873/70000 [6:39:57<18:29:22, 1.30s/step] Training: 27%|██▋ | 18874/70000 [6:39:58<17:59:58, 1.27s/step] Training: 27%|██▋ | 18875/70000 [6:39:59<18:32:29, 1.31s/step] Training: 27%|██▋ | 18876/70000 [6:40:01<18:15:27, 1.29s/step] Training: 27%|██▋ | 18877/70000 [6:40:02<18:29:42, 1.30s/step] Training: 27%|██▋ | 18878/70000 [6:40:03<18:00:16, 1.27s/step] Training: 27%|██▋ | 18879/70000 [6:40:04<17:39:26, 1.24s/step] Training: 27%|██▋ | 18880/70000 [6:40:07<21:59:56, 1.55s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 27%|██▋ | 18881/70000 [6:40:11<32:18:54, 2.28s/step] Training: 27%|██▋ | 18882/70000 [6:40:12<27:49:05, 1.96s/step] Training: 27%|██▋ | 18883/70000 [6:40:13<24:56:42, 1.76s/step] Training: 27%|██▋ | 18884/70000 [6:40:14<22:49:02, 1.61s/step] Training: 27%|██▋ | 18885/70000 [6:40:16<21:53:49, 1.54s/step] Training: 27%|██▋ | 18886/70000 [6:40:17<21:25:55, 1.51s/step] Training: 27%|██▋ | 18887/70000 [6:40:18<20:30:53, 1.44s/step] Training: 27%|██▋ | 18888/70000 [6:40:20<20:00:34, 1.41s/step] Training: 27%|██▋ | 18889/70000 [6:40:21<19:38:31, 1.38s/step] Training: 27%|██▋ | 18890/70000 [6:40:22<18:49:05, 1.33s/step] Training: 27%|██▋ | 18891/70000 [6:40:24<18:52:29, 1.33s/step] Training: 27%|██▋ | 18892/70000 [6:40:25<18:52:41, 1.33s/step] Training: 27%|██▋ | 18893/70000 [6:40:26<18:31:13, 1.30s/step] Training: 27%|██▋ | 18894/70000 [6:40:28<18:23:15, 1.30s/step] Training: 27%|██▋ | 18895/70000 [6:40:29<18:00:01, 1.27s/step] Training: 27%|██▋ | 18896/70000 [6:40:30<18:16:33, 1.29s/step] Training: 27%|██▋ | 18897/70000 [6:40:31<17:57:06, 1.26s/step] Training: 27%|██▋ | 18898/70000 [6:40:32<17:37:07, 1.24s/step] Training: 27%|██▋ | 18899/70000 [6:40:34<18:05:05, 1.27s/step] Training: 27%|██▋ | 18900/70000 [6:40:35<18:19:03, 1.29s/step]INFO 2026-03-13 02:50:27 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.02 loss:0.085 grdn:9.459 lr:2.1e-05 updt_s:1.252 data_s:0.052 Training: 27%|██▋ | 18901/70000 [6:40:36<18:00:48, 1.27s/step] Training: 27%|██▋ | 18902/70000 [6:40:38<17:40:48, 1.25s/step] Training: 27%|██▋ | 18903/70000 [6:40:39<18:26:57, 1.30s/step] Training: 27%|██▋ | 18904/70000 [6:40:40<18:39:01, 1.31s/step] Training: 27%|██▋ | 18905/70000 [6:40:42<18:44:10, 1.32s/step] Training: 27%|██▋ | 18906/70000 [6:40:43<18:10:34, 1.28s/step] Training: 27%|██▋ | 18907/70000 [6:40:44<18:37:47, 1.31s/step] Training: 27%|██▋ | 18908/70000 [6:40:45<18:10:07, 1.28s/step] Training: 27%|██▋ | 18909/70000 [6:40:47<18:21:16, 1.29s/step] Training: 27%|██▋ | 18910/70000 [6:40:48<18:38:12, 1.31s/step] Training: 27%|██▋ | 18911/70000 [6:40:49<18:39:36, 1.31s/step] Training: 27%|██▋ | 18912/70000 [6:40:51<18:19:33, 1.29s/step] Training: 27%|██▋ | 18913/70000 [6:40:52<18:29:24, 1.30s/step] Training: 27%|██▋ | 18914/70000 [6:40:53<18:00:21, 1.27s/step] Training: 27%|██▋ | 18915/70000 [6:40:54<17:47:04, 1.25s/step] Training: 27%|██▋ | 18916/70000 [6:40:56<17:41:03, 1.25s/step] Training: 27%|██▋ | 18917/70000 [6:40:57<17:26:32, 1.23s/step] Training: 27%|██▋ | 18918/70000 [6:40:58<17:51:10, 1.26s/step] Training: 27%|██▋ | 18919/70000 [6:40:59<18:12:47, 1.28s/step] Training: 27%|██▋ | 18920/70000 [6:41:01<18:23:14, 1.30s/step] Training: 27%|██▋ | 18921/70000 [6:41:02<18:31:42, 1.31s/step] Training: 27%|██▋ | 18922/70000 [6:41:03<18:01:21, 1.27s/step] Training: 27%|██▋ | 18923/70000 [6:41:05<18:16:46, 1.29s/step] Training: 27%|██▋ | 18924/70000 [6:41:06<17:51:11, 1.26s/step] Training: 27%|██▋ | 18925/70000 [6:41:07<18:08:36, 1.28s/step] Training: 27%|██▋ | 18926/70000 [6:41:08<18:15:37, 1.29s/step] Training: 27%|██▋ | 18927/70000 [6:41:10<18:34:33, 1.31s/step] Training: 27%|██▋ | 18928/70000 [6:41:11<18:39:57, 1.32s/step] Training: 27%|██▋ | 18929/70000 [6:41:12<18:15:17, 1.29s/step] Training: 27%|██▋ | 18930/70000 [6:41:14<17:49:54, 1.26s/step] Training: 27%|██▋ | 18931/70000 [6:41:15<18:09:22, 1.28s/step] Training: 27%|██▋ | 18932/70000 [6:41:16<18:22:43, 1.30s/step] Training: 27%|██▋ | 18933/70000 [6:41:17<17:56:18, 1.26s/step] Training: 27%|██▋ | 18934/70000 [6:41:19<17:37:07, 1.24s/step] Training: 27%|██▋ | 18935/70000 [6:41:20<17:59:23, 1.27s/step] Training: 27%|██▋ | 18936/70000 [6:41:21<18:19:10, 1.29s/step] Training: 27%|██▋ | 18937/70000 [6:41:23<18:28:00, 1.30s/step] Training: 27%|██▋ | 18938/70000 [6:41:24<17:59:24, 1.27s/step] Training: 27%|██▋ | 18939/70000 [6:41:25<18:22:10, 1.30s/step] Training: 27%|██▋ | 18940/70000 [6:41:27<18:29:29, 1.30s/step] Training: 27%|██▋ | 18941/70000 [6:41:28<18:02:12, 1.27s/step] Training: 27%|██▋ | 18942/70000 [6:41:29<18:10:24, 1.28s/step] Training: 27%|██▋ | 18943/70000 [6:41:30<18:37:33, 1.31s/step] Training: 27%|██▋ | 18944/70000 [6:41:32<18:15:20, 1.29s/step] Training: 27%|██▋ | 18945/70000 [6:41:33<18:25:50, 1.30s/step] Training: 27%|██▋ | 18946/70000 [6:41:34<17:56:52, 1.27s/step] Training: 27%|██▋ | 18947/70000 [6:41:35<17:45:19, 1.25s/step] Training: 27%|██▋ | 18948/70000 [6:41:37<17:38:58, 1.24s/step] Training: 27%|██▋ | 18949/70000 [6:41:38<17:24:50, 1.23s/step] Training: 27%|██▋ | 18950/70000 [6:41:39<17:14:21, 1.22s/step] Training: 27%|██▋ | 18951/70000 [6:41:40<17:47:16, 1.25s/step] Training: 27%|██▋ | 18952/70000 [6:41:42<18:03:47, 1.27s/step] Training: 27%|██▋ | 18953/70000 [6:41:43<17:52:51, 1.26s/step] Training: 27%|██▋ | 18954/70000 [6:41:44<17:34:23, 1.24s/step] Training: 27%|██▋ | 18955/70000 [6:41:45<17:57:13, 1.27s/step] Training: 27%|██▋ | 18956/70000 [6:41:47<17:38:23, 1.24s/step] Training: 27%|██▋ | 18957/70000 [6:41:48<17:58:49, 1.27s/step] Training: 27%|██▋ | 18958/70000 [6:41:49<17:40:54, 1.25s/step] Training: 27%|██▋ | 18959/70000 [6:41:50<17:59:21, 1.27s/step] Training: 27%|██▋ | 18960/70000 [6:41:52<18:42:03, 1.32s/step] Training: 27%|██▋ | 18961/70000 [6:41:53<18:11:37, 1.28s/step] Training: 27%|██▋ | 18962/70000 [6:41:54<17:48:14, 1.26s/step] Training: 27%|██▋ | 18963/70000 [6:41:56<18:07:11, 1.28s/step] Training: 27%|██▋ | 18964/70000 [6:41:57<18:22:18, 1.30s/step] Training: 27%|██▋ | 18965/70000 [6:41:58<17:57:11, 1.27s/step] Training: 27%|██▋ | 18966/70000 [6:41:59<18:11:24, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=72331 Training: 27%|██▋ | 18967/70000 [6:42:01<18:22:08, 1.30s/step] Training: 27%|██▋ | 18968/70000 [6:42:02<18:24:56, 1.30s/step] Training: 27%|██▋ | 18969/70000 [6:42:03<18:28:52, 1.30s/step] Training: 27%|██▋ | 18970/70000 [6:42:05<18:00:29, 1.27s/step] Training: 27%|██▋ | 18971/70000 [6:42:06<18:27:52, 1.30s/step] Training: 27%|██▋ | 18972/70000 [6:42:07<18:02:35, 1.27s/step] Training: 27%|██▋ | 18973/70000 [6:42:08<17:43:38, 1.25s/step] Training: 27%|██▋ | 18974/70000 [6:42:10<18:01:16, 1.27s/step] Training: 27%|██▋ | 18975/70000 [6:42:11<18:16:25, 1.29s/step] Training: 27%|██▋ | 18976/70000 [6:42:12<18:38:17, 1.32s/step] Training: 27%|██▋ | 18977/70000 [6:42:14<18:41:33, 1.32s/step] Training: 27%|██▋ | 18978/70000 [6:42:15<18:08:46, 1.28s/step] Training: 27%|██▋ | 18979/70000 [6:42:16<17:51:49, 1.26s/step] Training: 27%|██▋ | 18980/70000 [6:42:17<17:44:23, 1.25s/step] Training: 27%|██▋ | 18981/70000 [6:42:19<17:29:12, 1.23s/step] Training: 27%|██▋ | 18982/70000 [6:42:20<17:26:21, 1.23s/step] Training: 27%|██▋ | 18983/70000 [6:42:21<17:26:55, 1.23s/step] Training: 27%|██▋ | 18984/70000 [6:42:22<18:01:23, 1.27s/step] Training: 27%|██▋ | 18985/70000 [6:42:24<18:13:04, 1.29s/step] Training: 27%|██▋ | 18986/70000 [6:42:25<17:48:20, 1.26s/step] Training: 27%|██▋ | 18987/70000 [6:42:26<18:06:22, 1.28s/step] Training: 27%|██▋ | 18988/70000 [6:42:27<17:43:56, 1.25s/step] Training: 27%|██▋ | 18989/70000 [6:42:29<18:01:32, 1.27s/step] Training: 27%|██▋ | 18990/70000 [6:42:30<17:44:37, 1.25s/step] Training: 27%|██▋ | 18991/70000 [6:42:31<17:33:41, 1.24s/step] Training: 27%|██▋ | 18992/70000 [6:42:32<17:30:02, 1.24s/step] Training: 27%|██▋ | 18993/70000 [6:42:34<17:38:51, 1.25s/step] Training: 27%|██▋ | 18994/70000 [6:42:35<17:24:01, 1.23s/step] Training: 27%|██▋ | 18995/70000 [6:42:36<17:49:50, 1.26s/step] Training: 27%|██▋ | 18996/70000 [6:42:37<17:32:59, 1.24s/step] Training: 27%|██▋ | 18997/70000 [6:42:39<17:21:34, 1.23s/step] Training: 27%|██▋ | 18998/70000 [6:42:40<17:45:32, 1.25s/step] Training: 27%|██▋ | 18999/70000 [6:42:41<18:03:50, 1.28s/step] Training: 27%|██▋ | 19000/70000 [6:42:42<18:03:29, 1.27s/step]INFO 2026-03-13 02:52:35 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.10 loss:0.073 grdn:7.767 lr:2.1e-05 updt_s:1.252 data_s:0.019 Training: 27%|██▋ | 19001/70000 [6:42:44<18:16:12, 1.29s/step] Training: 27%|██▋ | 19002/70000 [6:42:45<17:50:55, 1.26s/step] Training: 27%|██▋ | 19003/70000 [6:42:46<18:19:17, 1.29s/step] Training: 27%|██▋ | 19004/70000 [6:42:48<18:04:42, 1.28s/step] Training: 27%|██▋ | 19005/70000 [6:42:49<17:42:29, 1.25s/step] Training: 27%|██▋ | 19006/70000 [6:42:50<18:01:21, 1.27s/step] Training: 27%|██▋ | 19007/70000 [6:42:51<18:16:22, 1.29s/step] Training: 27%|██▋ | 19008/70000 [6:42:53<17:51:57, 1.26s/step] Training: 27%|██▋ | 19009/70000 [6:42:54<18:38:52, 1.32s/step] Training: 27%|██▋ | 19010/70000 [6:42:55<18:06:35, 1.28s/step] Training: 27%|██▋ | 19011/70000 [6:42:56<17:52:51, 1.26s/step] Training: 27%|██▋ | 19012/70000 [6:42:58<17:38:34, 1.25s/step] Training: 27%|██▋ | 19013/70000 [6:42:59<17:23:44, 1.23s/step] Training: 27%|██▋ | 19014/70000 [6:43:00<17:22:04, 1.23s/step] Training: 27%|██▋ | 19015/70000 [6:43:01<17:22:07, 1.23s/step] Training: 27%|██▋ | 19016/70000 [6:43:02<17:15:32, 1.22s/step] Training: 27%|██▋ | 19017/70000 [6:43:04<18:03:22, 1.27s/step] Training: 27%|██▋ | 19018/70000 [6:43:05<17:42:27, 1.25s/step] Training: 27%|██▋ | 19019/70000 [6:43:06<18:06:19, 1.28s/step] Training: 27%|██▋ | 19020/70000 [6:43:08<18:20:32, 1.30s/step] Training: 27%|██▋ | 19021/70000 [6:43:09<17:54:23, 1.26s/step] Training: 27%|██▋ | 19022/70000 [6:43:10<17:42:32, 1.25s/step] Training: 27%|██▋ | 19023/70000 [6:43:11<17:38:12, 1.25s/step] Training: 27%|██▋ | 19024/70000 [6:43:13<17:25:06, 1.23s/step] Training: 27%|██▋ | 19025/70000 [6:43:14<17:49:45, 1.26s/step] Training: 27%|██▋ | 19026/70000 [6:43:15<18:11:39, 1.28s/step] Training: 27%|██▋ | 19027/70000 [6:43:17<18:22:19, 1.30s/step] Training: 27%|██▋ | 19028/70000 [6:43:18<18:59:59, 1.34s/step] Training: 27%|██▋ | 19029/70000 [6:43:19<18:21:37, 1.30s/step] Training: 27%|██▋ | 19030/70000 [6:43:21<18:29:46, 1.31s/step] Training: 27%|██▋ | 19031/70000 [6:43:22<18:00:25, 1.27s/step] Training: 27%|██▋ | 19032/70000 [6:43:23<18:09:07, 1.28s/step] Training: 27%|██▋ | 19033/70000 [6:43:24<18:32:13, 1.31s/step] Training: 27%|██▋ | 19034/70000 [6:43:26<17:58:37, 1.27s/step] Training: 27%|██▋ | 19035/70000 [6:43:27<18:15:05, 1.29s/step] Training: 27%|██▋ | 19036/70000 [6:43:28<18:19:22, 1.29s/step] Training: 27%|██▋ | 19037/70000 [6:43:29<17:52:52, 1.26s/step] Training: 27%|██▋ | 19038/70000 [6:43:31<18:08:46, 1.28s/step] Training: 27%|██▋ | 19039/70000 [6:43:32<18:19:44, 1.29s/step] Training: 27%|██▋ | 19040/70000 [6:43:33<17:54:12, 1.26s/step] Training: 27%|██▋ | 19041/70000 [6:43:35<18:12:56, 1.29s/step] Training: 27%|██▋ | 19042/70000 [6:43:36<18:28:38, 1.31s/step] Training: 27%|██▋ | 19043/70000 [6:43:37<18:05:50, 1.28s/step] Training: 27%|██▋ | 19044/70000 [6:43:38<17:45:46, 1.25s/step] Training: 27%|██▋ | 19045/70000 [6:43:40<17:29:58, 1.24s/step] Training: 27%|██▋ | 19046/70000 [6:43:41<17:28:06, 1.23s/step] Training: 27%|██▋ | 19047/70000 [6:43:42<17:23:14, 1.23s/step] Training: 27%|██▋ | 19048/70000 [6:43:43<17:11:55, 1.22s/step] Training: 27%|██▋ | 19049/70000 [6:43:45<17:54:55, 1.27s/step] Training: 27%|██▋ | 19050/70000 [6:43:46<18:14:38, 1.29s/step] Training: 27%|██▋ | 19051/70000 [6:43:47<18:24:57, 1.30s/step] Training: 27%|██▋ | 19052/70000 [6:43:49<18:57:43, 1.34s/step] Training: 27%|██▋ | 19053/70000 [6:43:50<18:19:59, 1.30s/step] Training: 27%|██▋ | 19054/70000 [6:43:51<17:55:59, 1.27s/step] Training: 27%|██▋ | 19055/70000 [6:43:52<17:47:16, 1.26s/step] Training: 27%|██▋ | 19056/70000 [6:43:54<17:30:21, 1.24s/step] Training: 27%|██▋ | 19057/70000 [6:43:55<17:38:50, 1.25s/step] Training: 27%|██▋ | 19058/70000 [6:43:56<17:24:56, 1.23s/step] Training: 27%|██▋ | 19059/70000 [6:43:57<17:51:55, 1.26s/step] Training: 27%|██▋ | 19060/70000 [6:43:59<18:11:23, 1.29s/step] Training: 27%|██▋ | 19061/70000 [6:44:00<17:48:03, 1.26s/step] Training: 27%|██▋ | 19062/70000 [6:44:01<17:30:45, 1.24s/step] Training: 27%|██▋ | 19063/70000 [6:44:02<17:50:40, 1.26s/step] Training: 27%|██▋ | 19064/70000 [6:44:04<17:55:45, 1.27s/step] Training: 27%|██▋ | 19065/70000 [6:44:05<18:15:21, 1.29s/step] Training: 27%|██▋ | 19066/70000 [6:44:06<18:04:08, 1.28s/step] Training: 27%|██▋ | 19067/70000 [6:44:08<18:18:25, 1.29s/step] Training: 27%|██▋ | 19068/70000 [6:44:09<18:10:04, 1.28s/step] Training: 27%|██▋ | 19069/70000 [6:44:10<17:47:35, 1.26s/step] Training: 27%|██▋ | 19070/70000 [6:44:11<17:30:29, 1.24s/step] Training: 27%|██▋ | 19071/70000 [6:44:12<17:33:12, 1.24s/step] Training: 27%|██▋ | 19072/70000 [6:44:14<17:20:31, 1.23s/step] Training: 27%|██▋ | 19073/70000 [6:44:15<17:47:14, 1.26s/step] Training: 27%|██▋ | 19074/70000 [6:44:16<17:44:07, 1.25s/step] Training: 27%|██▋ | 19075/70000 [6:44:17<17:31:25, 1.24s/step] Training: 27%|██▋ | 19076/70000 [6:44:19<17:57:16, 1.27s/step] Training: 27%|██▋ | 19077/70000 [6:44:20<17:36:45, 1.25s/step] Training: 27%|██▋ | 19078/70000 [6:44:21<17:22:31, 1.23s/step] Training: 27%|██▋ | 19079/70000 [6:44:22<17:30:10, 1.24s/step] Training: 27%|██▋ | 19080/70000 [6:44:24<17:18:12, 1.22s/step] Training: 27%|██▋ | 19081/70000 [6:44:25<17:55:11, 1.27s/step] Training: 27%|██▋ | 19082/70000 [6:44:26<17:34:26, 1.24s/step] Training: 27%|██▋ | 19083/70000 [6:44:28<18:19:22, 1.30s/step] Training: 27%|██▋ | 19084/70000 [6:44:29<18:30:15, 1.31s/step] Training: 27%|██▋ | 19085/70000 [6:44:30<18:30:54, 1.31s/step] Training: 27%|██▋ | 19086/70000 [6:44:31<17:59:05, 1.27s/step] Training: 27%|██▋ | 19087/70000 [6:44:33<18:12:34, 1.29s/step] Training: 27%|██▋ | 19088/70000 [6:44:34<17:47:14, 1.26s/step] Training: 27%|██▋ | 19089/70000 [6:44:35<17:39:52, 1.25s/step] Training: 27%|██▋ | 19090/70000 [6:44:36<17:24:16, 1.23s/step] Training: 27%|██▋ | 19091/70000 [6:44:38<18:10:51, 1.29s/step] Training: 27%|██▋ | 19092/70000 [6:44:39<18:24:29, 1.30s/step] Training: 27%|██▋ | 19093/70000 [6:44:40<18:26:12, 1.30s/step] Training: 27%|██▋ | 19094/70000 [6:44:42<17:57:15, 1.27s/step] Training: 27%|██▋ | 19095/70000 [6:44:43<18:12:04, 1.29s/step] Training: 27%|██▋ | 19096/70000 [6:44:44<17:47:18, 1.26s/step] Training: 27%|██▋ | 19097/70000 [6:44:45<18:06:33, 1.28s/step] Training: 27%|██▋ | 19098/70000 [6:44:47<17:44:00, 1.25s/step] Training: 27%|██▋ | 19099/70000 [6:44:48<18:20:25, 1.30s/step] Training: 27%|██▋ | 19100/70000 [6:44:49<17:50:00, 1.26s/step]INFO 2026-03-13 02:54:41 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.19 loss:0.075 grdn:8.939 lr:2.1e-05 updt_s:1.247 data_s:0.019 Training: 27%|██▋ | 19101/70000 [6:44:51<18:01:16, 1.27s/step] Training: 27%|██▋ | 19102/70000 [6:44:52<17:39:37, 1.25s/step] Training: 27%|██▋ | 19103/70000 [6:44:53<18:01:10, 1.27s/step] Training: 27%|██▋ | 19104/70000 [6:44:54<17:40:41, 1.25s/step] Training: 27%|██▋ | 19105/70000 [6:44:56<18:00:07, 1.27s/step] Training: 27%|██▋ | 19106/70000 [6:44:57<17:38:43, 1.25s/step] Training: 27%|██▋ | 19107/70000 [6:44:58<18:08:49, 1.28s/step] Training: 27%|██▋ | 19108/70000 [6:44:59<17:47:01, 1.26s/step] Training: 27%|██▋ | 19109/70000 [6:45:01<17:30:31, 1.24s/step] Training: 27%|██▋ | 19110/70000 [6:45:02<17:18:38, 1.22s/step] Training: 27%|██▋ | 19111/70000 [6:45:03<17:25:02, 1.23s/step] Training: 27%|██▋ | 19112/70000 [6:45:04<17:13:30, 1.22s/step] Training: 27%|██▋ | 19113/70000 [6:45:05<17:14:39, 1.22s/step] Training: 27%|██▋ | 19114/70000 [6:45:07<17:06:44, 1.21s/step] Training: 27%|██▋ | 19115/70000 [6:45:08<17:35:56, 1.25s/step] Training: 27%|██▋ | 19116/70000 [6:45:09<18:25:36, 1.30s/step] Training: 27%|██▋ | 19117/70000 [6:45:11<18:36:06, 1.32s/step] Training: 27%|██▋ | 19118/70000 [6:45:12<18:03:36, 1.28s/step] Training: 27%|██▋ | 19119/70000 [6:45:13<18:17:17, 1.29s/step] Training: 27%|██▋ | 19120/70000 [6:45:14<17:50:21, 1.26s/step] Training: 27%|██▋ | 19121/70000 [6:45:16<18:02:24, 1.28s/step] Training: 27%|██▋ | 19122/70000 [6:45:17<17:41:32, 1.25s/step] Training: 27%|██▋ | 19123/70000 [6:45:18<17:58:47, 1.27s/step] Training: 27%|██▋ | 19124/70000 [6:45:20<18:46:49, 1.33s/step] Training: 27%|██▋ | 19125/70000 [6:45:21<18:18:29, 1.30s/step] Training: 27%|██▋ | 19126/70000 [6:45:22<17:51:04, 1.26s/step] Training: 27%|██▋ | 19127/70000 [6:45:23<18:11:01, 1.29s/step] Training: 27%|██▋ | 19128/70000 [6:45:25<17:47:38, 1.26s/step] Training: 27%|██▋ | 19129/70000 [6:45:26<18:05:43, 1.28s/step] Training: 27%|██▋ | 19130/70000 [6:45:27<17:42:33, 1.25s/step] Training: 27%|██▋ | 19131/70000 [6:45:28<17:37:46, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=32793 Training: 27%|██▋ | 19132/70000 [6:45:30<17:36:48, 1.25s/step] Training: 27%|██▋ | 19133/70000 [6:45:31<17:58:14, 1.27s/step] Training: 27%|██▋ | 19134/70000 [6:45:32<17:36:37, 1.25s/step] Training: 27%|██▋ | 19135/70000 [6:45:33<17:57:14, 1.27s/step] Training: 27%|██▋ | 19136/70000 [6:45:35<17:36:26, 1.25s/step] Training: 27%|██▋ | 19137/70000 [6:45:36<17:54:42, 1.27s/step] Training: 27%|██▋ | 19138/70000 [6:45:37<17:34:38, 1.24s/step] Training: 27%|██▋ | 19139/70000 [6:45:38<17:25:28, 1.23s/step] Training: 27%|██▋ | 19140/70000 [6:45:40<17:33:14, 1.24s/step] Training: 27%|██▋ | 19141/70000 [6:45:41<17:54:42, 1.27s/step] Training: 27%|██▋ | 19142/70000 [6:45:42<17:34:37, 1.24s/step] Training: 27%|██▋ | 19143/70000 [6:45:43<17:38:12, 1.25s/step] Training: 27%|██▋ | 19144/70000 [6:45:45<17:22:44, 1.23s/step] Training: 27%|██▋ | 19145/70000 [6:45:46<18:00:47, 1.28s/step] Training: 27%|██▋ | 19146/70000 [6:45:47<17:38:02, 1.25s/step] Training: 27%|██▋ | 19147/70000 [6:45:48<17:58:48, 1.27s/step] Training: 27%|██▋ | 19148/70000 [6:45:50<18:12:06, 1.29s/step] Training: 27%|██▋ | 19149/70000 [6:45:51<18:26:02, 1.31s/step] Training: 27%|██▋ | 19150/70000 [6:45:52<18:25:53, 1.30s/step] Training: 27%|██▋ | 19151/70000 [6:45:54<18:30:46, 1.31s/step] Training: 27%|██▋ | 19152/70000 [6:45:55<18:00:22, 1.27s/step] Training: 27%|██▋ | 19153/70000 [6:45:56<18:12:45, 1.29s/step] Training: 27%|██▋ | 19154/70000 [6:45:57<17:47:00, 1.26s/step] Training: 27%|██▋ | 19155/70000 [6:45:59<18:05:10, 1.28s/step] Training: 27%|██▋ | 19156/70000 [6:46:00<18:20:58, 1.30s/step] Training: 27%|██▋ | 19157/70000 [6:46:01<18:13:25, 1.29s/step] Training: 27%|██▋ | 19158/70000 [6:46:03<18:18:10, 1.30s/step] Training: 27%|██▋ | 19159/70000 [6:46:04<18:28:20, 1.31s/step] Training: 27%|██▋ | 19160/70000 [6:46:05<17:58:57, 1.27s/step] Training: 27%|██▋ | 19161/70000 [6:46:07<18:14:41, 1.29s/step] Training: 27%|██▋ | 19162/70000 [6:46:08<17:49:21, 1.26s/step] Training: 27%|██▋ | 19163/70000 [6:46:09<17:39:01, 1.25s/step] Training: 27%|██▋ | 19164/70000 [6:46:10<17:41:21, 1.25s/step] Training: 27%|██▋ | 19165/70000 [6:46:12<17:59:51, 1.27s/step] Training: 27%|██▋ | 19166/70000 [6:46:13<18:15:41, 1.29s/step] Training: 27%|██▋ | 19167/70000 [6:46:14<18:23:19, 1.30s/step] Training: 27%|██▋ | 19168/70000 [6:46:15<17:54:38, 1.27s/step] Training: 27%|██▋ | 19169/70000 [6:46:17<18:10:28, 1.29s/step] Training: 27%|██▋ | 19170/70000 [6:46:18<17:45:34, 1.26s/step] Training: 27%|██▋ | 19171/70000 [6:46:19<17:34:10, 1.24s/step] Training: 27%|██▋ | 19172/70000 [6:46:20<17:26:40, 1.24s/step] Training: 27%|██▋ | 19173/70000 [6:46:22<17:58:07, 1.27s/step] Training: 27%|██▋ | 19174/70000 [6:46:23<17:34:50, 1.25s/step] Training: 27%|██▋ | 19175/70000 [6:46:24<17:34:06, 1.24s/step] Training: 27%|██▋ | 19176/70000 [6:46:25<17:22:22, 1.23s/step] Training: 27%|██▋ | 19177/70000 [6:46:27<17:54:08, 1.27s/step] Training: 27%|██▋ | 19178/70000 [6:46:28<17:36:06, 1.25s/step] Training: 27%|██▋ | 19179/70000 [6:46:29<17:59:52, 1.27s/step] Training: 27%|██▋ | 19180/70000 [6:46:31<18:14:16, 1.29s/step] Training: 27%|██▋ | 19181/70000 [6:46:32<17:58:18, 1.27s/step] Training: 27%|██▋ | 19182/70000 [6:46:33<18:16:37, 1.29s/step] Training: 27%|██▋ | 19183/70000 [6:46:34<18:21:28, 1.30s/step] Training: 27%|██▋ | 19184/70000 [6:46:36<17:52:31, 1.27s/step] Training: 27%|██▋ | 19185/70000 [6:46:37<18:10:29, 1.29s/step] Training: 27%|██▋ | 19186/70000 [6:46:38<17:46:12, 1.26s/step] Training: 27%|██▋ | 19187/70000 [6:46:40<18:01:21, 1.28s/step] Training: 27%|██▋ | 19188/70000 [6:46:41<18:12:35, 1.29s/step] Training: 27%|██▋ | 19189/70000 [6:46:42<17:52:46, 1.27s/step] Training: 27%|██▋ | 19190/70000 [6:46:43<18:12:25, 1.29s/step] Training: 27%|██▋ | 19191/70000 [6:46:45<18:19:58, 1.30s/step] Training: 27%|██▋ | 19192/70000 [6:46:46<17:53:36, 1.27s/step] Training: 27%|██▋ | 19193/70000 [6:46:47<18:11:38, 1.29s/step] Training: 27%|██▋ | 19194/70000 [6:46:48<17:46:30, 1.26s/step] Training: 27%|██▋ | 19195/70000 [6:46:50<17:38:36, 1.25s/step] Training: 27%|██▋ | 19196/70000 [6:46:51<17:37:18, 1.25s/step] Training: 27%|██▋ | 19197/70000 [6:46:52<17:56:12, 1.27s/step] Training: 27%|██▋ | 19198/70000 [6:46:53<17:36:22, 1.25s/step] Training: 27%|██▋ | 19199/70000 [6:46:55<17:56:40, 1.27s/step] Training: 27%|██▋ | 19200/70000 [6:46:56<17:35:00, 1.25s/step]INFO 2026-03-13 02:56:48 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.27 loss:0.076 grdn:8.187 lr:2.1e-05 updt_s:1.246 data_s:0.019 Training: 27%|██▋ | 19201/70000 [6:46:57<17:57:54, 1.27s/step] Training: 27%|██▋ | 19202/70000 [6:46:58<17:36:46, 1.25s/step] Training: 27%|██▋ | 19203/70000 [6:47:00<17:28:04, 1.24s/step] Training: 27%|██▋ | 19204/70000 [6:47:01<17:24:51, 1.23s/step] Training: 27%|██▋ | 19205/70000 [6:47:02<17:50:27, 1.26s/step] Training: 27%|██▋ | 19206/70000 [6:47:03<17:46:39, 1.26s/step] Training: 27%|██▋ | 19207/70000 [6:47:05<17:39:00, 1.25s/step] Training: 27%|██▋ | 19208/70000 [6:47:06<17:23:28, 1.23s/step] Training: 27%|██▋ | 19209/70000 [6:47:07<17:57:54, 1.27s/step] Training: 27%|██▋ | 19210/70000 [6:47:08<17:40:03, 1.25s/step] Training: 27%|██▋ | 19211/70000 [6:47:10<17:58:16, 1.27s/step] Training: 27%|██▋ | 19212/70000 [6:47:11<18:13:14, 1.29s/step] Training: 27%|██▋ | 19213/70000 [6:47:12<17:57:30, 1.27s/step] Training: 27%|██▋ | 19214/70000 [6:47:14<17:53:44, 1.27s/step] Training: 27%|██▋ | 19215/70000 [6:47:15<18:06:43, 1.28s/step] Training: 27%|██▋ | 19216/70000 [6:47:16<17:42:16, 1.26s/step] Training: 27%|██▋ | 19217/70000 [6:47:17<18:04:41, 1.28s/step] Training: 27%|██▋ | 19218/70000 [6:47:19<17:41:45, 1.25s/step] Training: 27%|██▋ | 19219/70000 [6:47:20<18:03:01, 1.28s/step] Training: 27%|██▋ | 19220/70000 [6:47:21<18:17:23, 1.30s/step] Training: 27%|██▋ | 19221/70000 [6:47:23<17:57:12, 1.27s/step] Training: 27%|██▋ | 19222/70000 [6:47:24<17:35:53, 1.25s/step] Training: 27%|██▋ | 19223/70000 [6:47:25<18:29:13, 1.31s/step] Training: 27%|██▋ | 19224/70000 [6:47:26<17:58:38, 1.27s/step] Training: 27%|██▋ | 19225/70000 [6:47:28<18:11:29, 1.29s/step] Training: 27%|██▋ | 19226/70000 [6:47:29<17:46:44, 1.26s/step] Training: 27%|██▋ | 19227/70000 [6:47:30<17:37:58, 1.25s/step] Training: 27%|██▋ | 19228/70000 [6:47:31<17:34:19, 1.25s/step] Training: 27%|██▋ | 19229/70000 [6:47:33<17:54:51, 1.27s/step] Training: 27%|██▋ | 19230/70000 [6:47:34<17:34:41, 1.25s/step] Training: 27%|██▋ | 19231/70000 [6:47:35<18:18:38, 1.30s/step] Training: 27%|██▋ | 19232/70000 [6:47:36<17:51:36, 1.27s/step] Training: 27%|██▋ | 19233/70000 [6:47:38<18:10:28, 1.29s/step] Training: 27%|██▋ | 19234/70000 [6:47:39<17:45:15, 1.26s/step] Training: 27%|██▋ | 19235/70000 [6:47:40<17:33:13, 1.24s/step] Training: 27%|██▋ | 19236/70000 [6:47:41<17:25:10, 1.24s/step] Training: 27%|██▋ | 19237/70000 [6:47:43<17:48:48, 1.26s/step] Training: 27%|██▋ | 19238/70000 [6:47:44<17:30:52, 1.24s/step] Training: 27%|██▋ | 19239/70000 [6:47:45<18:09:42, 1.29s/step] Training: 27%|██▋ | 19240/70000 [6:47:47<17:42:35, 1.26s/step] Training: 27%|██▋ | 19241/70000 [6:47:48<18:11:14, 1.29s/step] Training: 27%|██▋ | 19242/70000 [6:47:49<17:46:26, 1.26s/step] Training: 27%|██▋ | 19243/70000 [6:47:50<18:04:16, 1.28s/step] Training: 27%|██▋ | 19244/70000 [6:47:52<18:16:59, 1.30s/step] Training: 27%|██▋ | 19245/70000 [6:47:53<18:00:03, 1.28s/step] Training: 27%|██▋ | 19246/70000 [6:47:54<17:38:34, 1.25s/step] Training: 27%|██▋ | 19247/70000 [6:47:56<18:07:43, 1.29s/step] Training: 27%|██▋ | 19248/70000 [6:47:57<17:40:54, 1.25s/step] Training: 27%|██▋ | 19249/70000 [6:47:58<18:03:01, 1.28s/step] Training: 28%|██▊ | 19250/70000 [6:47:59<17:40:05, 1.25s/step] Training: 28%|██▊ | 19251/70000 [6:48:01<17:59:17, 1.28s/step] Training: 28%|██▊ | 19252/70000 [6:48:02<18:13:03, 1.29s/step] Training: 28%|██▊ | 19253/70000 [6:48:03<17:54:45, 1.27s/step] Training: 28%|██▊ | 19254/70000 [6:48:04<17:34:34, 1.25s/step] Training: 28%|██▊ | 19255/70000 [6:48:06<17:58:55, 1.28s/step] Training: 28%|██▊ | 19256/70000 [6:48:07<18:52:34, 1.34s/step] Training: 28%|██▊ | 19257/70000 [6:48:09<18:58:08, 1.35s/step] Training: 28%|██▊ | 19258/70000 [6:48:10<18:17:58, 1.30s/step] Training: 28%|██▊ | 19259/70000 [6:48:11<18:01:11, 1.28s/step] Training: 28%|██▊ | 19260/70000 [6:48:12<17:48:12, 1.26s/step] Training: 28%|██▊ | 19261/70000 [6:48:14<18:07:04, 1.29s/step] Training: 28%|██▊ | 19262/70000 [6:48:15<17:42:43, 1.26s/step] Training: 28%|██▊ | 19263/70000 [6:48:16<18:01:19, 1.28s/step] Training: 28%|██▊ | 19264/70000 [6:48:17<18:19:18, 1.30s/step] Training: 28%|██▊ | 19265/70000 [6:48:19<18:24:03, 1.31s/step] Training: 28%|██▊ | 19266/70000 [6:48:20<17:55:32, 1.27s/step] Training: 28%|██▊ | 19267/70000 [6:48:21<17:39:15, 1.25s/step] Training: 28%|██▊ | 19268/70000 [6:48:22<17:28:26, 1.24s/step] Training: 28%|██▊ | 19269/70000 [6:48:24<17:50:03, 1.27s/step] Training: 28%|██▊ | 19270/70000 [6:48:25<17:30:01, 1.24s/step] Training: 28%|██▊ | 19271/70000 [6:48:26<17:31:25, 1.24s/step] Training: 28%|██▊ | 19272/70000 [6:48:27<17:52:18, 1.27s/step] Training: 28%|██▊ | 19273/70000 [6:48:29<18:12:25, 1.29s/step] Training: 28%|██▊ | 19274/70000 [6:48:30<17:47:48, 1.26s/step] Training: 28%|██▊ | 19275/70000 [6:48:31<18:03:50, 1.28s/step] Training: 28%|██▊ | 19276/70000 [6:48:33<18:16:01, 1.30s/step] Training: 28%|██▊ | 19277/70000 [6:48:34<17:57:08, 1.27s/step] Training: 28%|██▊ | 19278/70000 [6:48:35<17:39:24, 1.25s/step] Training: 28%|██▊ | 19279/70000 [6:48:36<17:55:45, 1.27s/step] Training: 28%|██▊ | 19280/70000 [6:48:38<18:24:20, 1.31s/step] Training: 28%|██▊ | 19281/70000 [6:48:39<18:30:53, 1.31s/step] Training: 28%|██▊ | 19282/70000 [6:48:40<17:59:47, 1.28s/step] Training: 28%|██▊ | 19283/70000 [6:48:42<18:12:09, 1.29s/step] Training: 28%|██▊ | 19284/70000 [6:48:43<18:23:46, 1.31s/step] Training: 28%|██▊ | 19285/70000 [6:48:44<18:00:06, 1.28s/step] Training: 28%|██▊ | 19286/70000 [6:48:45<17:38:30, 1.25s/step] Training: 28%|██▊ | 19287/70000 [6:48:47<17:57:00, 1.27s/step] Training: 28%|██▊ | 19288/70000 [6:48:48<17:46:53, 1.26s/step] Training: 28%|██▊ | 19289/70000 [6:48:49<18:15:53, 1.30s/step] Training: 28%|██▊ | 19290/70000 [6:48:50<17:49:17, 1.27s/step] Training: 28%|██▊ | 19291/70000 [6:48:52<17:39:43, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=32793 Training: 28%|██▊ | 19292/70000 [6:48:53<17:37:20, 1.25s/step] Training: 28%|██▊ | 19293/70000 [6:48:54<17:56:00, 1.27s/step] Training: 28%|██▊ | 19294/70000 [6:48:55<17:35:02, 1.25s/step] Training: 28%|██▊ | 19295/70000 [6:48:57<18:01:37, 1.28s/step] Training: 28%|██▊ | 19296/70000 [6:48:58<17:38:51, 1.25s/step] Training: 28%|██▊ | 19297/70000 [6:48:59<18:28:15, 1.31s/step] Training: 28%|██▊ | 19298/70000 [6:49:01<17:56:39, 1.27s/step] Training: 28%|██▊ | 19299/70000 [6:49:02<17:40:16, 1.25s/step] Training: 28%|██▊ | 19300/70000 [6:49:03<17:28:47, 1.24s/step]INFO 2026-03-13 02:58:55 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.36 loss:0.074 grdn:8.642 lr:2.1e-05 updt_s:1.250 data_s:0.019 Training: 28%|██▊ | 19301/70000 [6:49:04<17:49:55, 1.27s/step] Training: 28%|██▊ | 19302/70000 [6:49:06<17:30:13, 1.24s/step] Training: 28%|██▊ | 19303/70000 [6:49:07<17:30:03, 1.24s/step] Training: 28%|██▊ | 19304/70000 [6:49:08<17:15:43, 1.23s/step] Training: 28%|██▊ | 19305/70000 [6:49:09<18:10:26, 1.29s/step] Training: 28%|██▊ | 19306/70000 [6:49:11<17:44:56, 1.26s/step] Training: 28%|██▊ | 19307/70000 [6:49:12<18:02:38, 1.28s/step] Training: 28%|██▊ | 19308/70000 [6:49:13<18:14:29, 1.30s/step] Training: 28%|██▊ | 19309/70000 [6:49:15<17:58:54, 1.28s/step] Training: 28%|██▊ | 19310/70000 [6:49:16<17:37:20, 1.25s/step] Training: 28%|██▊ | 19311/70000 [6:49:17<17:53:46, 1.27s/step] Training: 28%|██▊ | 19312/70000 [6:49:18<17:33:04, 1.25s/step] Training: 28%|██▊ | 19313/70000 [6:49:20<18:01:44, 1.28s/step] Training: 28%|██▊ | 19314/70000 [6:49:21<17:35:48, 1.25s/step] Training: 28%|██▊ | 19315/70000 [6:49:22<17:55:11, 1.27s/step] Training: 28%|██▊ | 19316/70000 [6:49:23<18:11:00, 1.29s/step] Training: 28%|██▊ | 19317/70000 [6:49:25<17:49:36, 1.27s/step] Training: 28%|██▊ | 19318/70000 [6:49:26<17:30:23, 1.24s/step] Training: 28%|██▊ | 19319/70000 [6:49:27<17:50:38, 1.27s/step] Training: 28%|██▊ | 19320/70000 [6:49:28<17:29:55, 1.24s/step] Training: 28%|██▊ | 19321/70000 [6:49:30<18:01:56, 1.28s/step] Training: 28%|██▊ | 19322/70000 [6:49:31<18:16:26, 1.30s/step] Training: 28%|██▊ | 19323/70000 [6:49:32<17:51:32, 1.27s/step] Training: 28%|██▊ | 19324/70000 [6:49:33<17:43:12, 1.26s/step] Training: 28%|██▊ | 19325/70000 [6:49:35<18:02:41, 1.28s/step] Training: 28%|██▊ | 19326/70000 [6:49:36<17:38:46, 1.25s/step] Training: 28%|██▊ | 19327/70000 [6:49:37<18:03:12, 1.28s/step] Training: 28%|██▊ | 19328/70000 [6:49:39<17:39:25, 1.25s/step] Training: 28%|██▊ | 19329/70000 [6:49:40<17:56:44, 1.27s/step] Training: 28%|██▊ | 19330/70000 [6:49:41<18:11:02, 1.29s/step] Training: 28%|██▊ | 19331/70000 [6:49:42<17:57:01, 1.28s/step] Training: 28%|██▊ | 19332/70000 [6:49:44<17:47:29, 1.26s/step] Training: 28%|██▊ | 19333/70000 [6:49:45<18:08:28, 1.29s/step] Training: 28%|██▊ | 19334/70000 [6:49:46<17:42:40, 1.26s/step] Training: 28%|██▊ | 19335/70000 [6:49:47<17:39:19, 1.25s/step] Training: 28%|██▊ | 19336/70000 [6:49:49<17:22:52, 1.24s/step] Training: 28%|██▊ | 19337/70000 [6:49:50<17:57:41, 1.28s/step] Training: 28%|██▊ | 19338/70000 [6:49:51<17:37:23, 1.25s/step] Training: 28%|██▊ | 19339/70000 [6:49:52<17:21:33, 1.23s/step] Training: 28%|██▊ | 19340/70000 [6:49:54<17:43:09, 1.26s/step] Training: 28%|██▊ | 19341/70000 [6:49:55<17:52:56, 1.27s/step] Training: 28%|██▊ | 19342/70000 [6:49:56<17:34:21, 1.25s/step] Training: 28%|██▊ | 19343/70000 [6:49:58<17:51:29, 1.27s/step] Training: 28%|██▊ | 19344/70000 [6:49:59<17:31:42, 1.25s/step] Training: 28%|██▊ | 19345/70000 [6:50:00<17:51:30, 1.27s/step] Training: 28%|██▊ | 19346/70000 [6:50:01<17:41:08, 1.26s/step] Training: 28%|██▊ | 19347/70000 [6:50:03<17:58:23, 1.28s/step] Training: 28%|██▊ | 19348/70000 [6:50:04<18:13:43, 1.30s/step] Training: 28%|██▊ | 19349/70000 [6:50:05<17:53:40, 1.27s/step] Training: 28%|██▊ | 19350/70000 [6:50:06<17:32:56, 1.25s/step] Training: 28%|██▊ | 19351/70000 [6:50:08<17:56:19, 1.28s/step] Training: 28%|██▊ | 19352/70000 [6:50:09<17:34:01, 1.25s/step] Training: 28%|██▊ | 19353/70000 [6:50:10<18:02:16, 1.28s/step] Training: 28%|██▊ | 19354/70000 [6:50:11<18:00:12, 1.28s/step] Training: 28%|██▊ | 19355/70000 [6:50:13<17:40:30, 1.26s/step] Training: 28%|██▊ | 19356/70000 [6:50:14<17:27:08, 1.24s/step] Training: 28%|██▊ | 19357/70000 [6:50:15<17:48:58, 1.27s/step] Training: 28%|██▊ | 19358/70000 [6:50:16<17:28:57, 1.24s/step] Training: 28%|██▊ | 19359/70000 [6:50:18<17:59:11, 1.28s/step] Training: 28%|██▊ | 19360/70000 [6:50:19<17:36:11, 1.25s/step] Training: 28%|██▊ | 19361/70000 [6:50:20<17:53:07, 1.27s/step] Training: 28%|██▊ | 19362/70000 [6:50:21<17:31:55, 1.25s/step] Training: 28%|██▊ | 19363/70000 [6:50:23<17:58:47, 1.28s/step] Training: 28%|██▊ | 19364/70000 [6:50:24<17:44:31, 1.26s/step] Training: 28%|██▊ | 19365/70000 [6:50:25<18:01:23, 1.28s/step] Training: 28%|██▊ | 19366/70000 [6:50:27<17:38:01, 1.25s/step] Training: 28%|██▊ | 19367/70000 [6:50:28<17:34:50, 1.25s/step] Training: 28%|██▊ | 19368/70000 [6:50:29<17:19:02, 1.23s/step] Training: 28%|██▊ | 19369/70000 [6:50:30<17:57:25, 1.28s/step] Training: 28%|██▊ | 19370/70000 [6:50:32<17:35:27, 1.25s/step] Training: 28%|██▊ | 19371/70000 [6:50:33<17:36:39, 1.25s/step] Training: 28%|██▊ | 19372/70000 [6:50:34<17:51:04, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=49079 Training: 28%|██▊ | 19373/70000 [6:50:35<18:02:06, 1.28s/step] Training: 28%|██▊ | 19374/70000 [6:50:37<17:39:47, 1.26s/step] Training: 28%|██▊ | 19375/70000 [6:50:38<18:00:39, 1.28s/step] Training: 28%|██▊ | 19376/70000 [6:50:39<17:36:47, 1.25s/step] Training: 28%|██▊ | 19377/70000 [6:50:40<17:55:59, 1.28s/step] Training: 28%|██▊ | 19378/70000 [6:50:42<17:34:20, 1.25s/step] Training: 28%|██▊ | 19379/70000 [6:50:43<17:53:14, 1.27s/step] Training: 28%|██▊ | 19380/70000 [6:50:44<18:38:29, 1.33s/step] Training: 28%|██▊ | 19381/70000 [6:50:46<18:10:20, 1.29s/step] Training: 28%|██▊ | 19382/70000 [6:50:47<17:44:06, 1.26s/step] Training: 28%|██▊ | 19383/70000 [6:50:48<18:01:42, 1.28s/step] Training: 28%|██▊ | 19384/70000 [6:50:49<17:37:57, 1.25s/step] Training: 28%|██▊ | 19385/70000 [6:50:51<18:10:23, 1.29s/step] Training: 28%|██▊ | 19386/70000 [6:50:52<17:43:43, 1.26s/step] Training: 28%|██▊ | 19387/70000 [6:50:53<18:10:16, 1.29s/step] Training: 28%|██▊ | 19388/70000 [6:50:55<18:15:27, 1.30s/step] Training: 28%|██▊ | 19389/70000 [6:50:56<18:24:45, 1.31s/step] Training: 28%|██▊ | 19390/70000 [6:50:57<17:54:09, 1.27s/step] Training: 28%|██▊ | 19391/70000 [6:50:59<18:16:25, 1.30s/step] Training: 28%|██▊ | 19392/70000 [6:51:00<17:47:52, 1.27s/step] Training: 28%|██▊ | 19393/70000 [6:51:01<18:03:37, 1.28s/step] Training: 28%|██▊ | 19394/70000 [6:51:02<17:39:14, 1.26s/step] Training: 28%|██▊ | 19395/70000 [6:51:03<17:34:24, 1.25s/step] Training: 28%|██▊ | 19396/70000 [6:51:05<17:56:13, 1.28s/step] Training: 28%|██▊ | 19397/70000 [6:51:06<18:06:50, 1.29s/step] Training: 28%|██▊ | 19398/70000 [6:51:07<17:41:56, 1.26s/step] Training: 28%|██▊ | 19399/70000 [6:51:09<17:39:37, 1.26s/step] Training: 28%|██▊ | 19400/70000 [6:51:10<17:21:42, 1.24s/step]INFO 2026-03-13 03:01:02 ot_train.py:435 step:19K smpl:1M ep:4K epch:16.44 loss:0.078 grdn:9.102 lr:2.1e-05 updt_s:1.246 data_s:0.019 Training: 28%|██▊ | 19401/70000 [6:51:11<17:59:17, 1.28s/step] Training: 28%|██▊ | 19402/70000 [6:51:12<17:37:34, 1.25s/step] Training: 28%|██▊ | 19403/70000 [6:51:13<17:21:28, 1.24s/step] Training: 28%|██▊ | 19404/70000 [6:51:15<17:46:39, 1.26s/step] Training: 28%|██▊ | 19405/70000 [6:51:16<17:55:40, 1.28s/step] Training: 28%|██▊ | 19406/70000 [6:51:17<17:35:02, 1.25s/step] Training: 28%|██▊ | 19407/70000 [6:51:19<17:53:31, 1.27s/step] Training: 28%|██▊ | 19408/70000 [6:51:20<17:32:20, 1.25s/step] Training: 28%|██▊ | 19409/70000 [6:51:21<17:53:57, 1.27s/step] Training: 28%|██▊ | 19410/70000 [6:51:22<17:31:36, 1.25s/step] Training: 28%|██▊ | 19411/70000 [6:51:24<17:51:58, 1.27s/step] Training: 28%|██▊ | 19412/70000 [6:51:25<18:08:41, 1.29s/step] Training: 28%|██▊ | 19413/70000 [6:51:26<17:49:28, 1.27s/step] Training: 28%|██▊ | 19414/70000 [6:51:27<17:28:56, 1.24s/step] Training: 28%|██▊ | 19415/70000 [6:51:29<17:51:49, 1.27s/step] Training: 28%|██▊ | 19416/70000 [6:51:30<17:30:33, 1.25s/step] Training: 28%|██▊ | 19417/70000 [6:51:31<18:02:15, 1.28s/step] Training: 28%|██▊ | 19418/70000 [6:51:33<17:38:00, 1.26s/step] Training: 28%|██▊ | 19419/70000 [6:51:34<17:31:20, 1.25s/step] Training: 28%|██▊ | 19420/70000 [6:51:35<17:30:17, 1.25s/step] Training: 28%|██▊ | 19421/70000 [6:51:36<17:50:11, 1.27s/step] Training: 28%|██▊ | 19422/70000 [6:51:37<17:29:18, 1.24s/step] Training: 28%|██▊ | 19423/70000 [6:51:39<17:58:54, 1.28s/step] Training: 28%|██▊ | 19424/70000 [6:51:40<17:35:36, 1.25s/step] Training: 28%|██▊ | 19425/70000 [6:51:41<17:55:58, 1.28s/step] Training: 28%|██▊ | 19426/70000 [6:51:43<17:33:23, 1.25s/step] Training: 28%|██▊ | 19427/70000 [6:51:44<17:29:42, 1.25s/step] Training: 28%|██▊ | 19428/70000 [6:51:45<17:30:38, 1.25s/step] Training: 28%|██▊ | 19429/70000 [6:51:46<17:50:23, 1.27s/step] Training: 28%|██▊ | 19430/70000 [6:51:48<17:29:37, 1.25s/step] Training: 28%|██▊ | 19431/70000 [6:51:49<17:31:10, 1.25s/step] Training: 28%|██▊ | 19432/70000 [6:51:50<17:16:13, 1.23s/step] Training: 28%|██▊ | 19433/70000 [6:51:51<17:54:06, 1.27s/step] Training: 28%|██▊ | 19434/70000 [6:51:53<17:32:01, 1.25s/step] Training: 28%|██▊ | 19435/70000 [6:51:54<17:16:15, 1.23s/step] Training: 28%|██▊ | 19436/70000 [6:51:55<17:37:28, 1.25s/step] Training: 28%|██▊ | 19437/70000 [6:51:56<18:01:22, 1.28s/step] Training: 28%|██▊ | 19438/70000 [6:51:58<17:37:07, 1.25s/step] Training: 28%|██▊ | 19439/70000 [6:51:59<17:56:20, 1.28s/step] Training: 28%|██▊ | 19440/70000 [6:52:00<17:34:23, 1.25s/step] Training: 28%|██▊ | 19441/70000 [6:52:01<17:51:36, 1.27s/step] Training: 28%|██▊ | 19442/70000 [6:52:03<17:31:43, 1.25s/step] Training: 28%|██▊ | 19443/70000 [6:52:04<17:51:31, 1.27s/step] Training: 28%|██▊ | 19444/70000 [6:52:05<18:05:20, 1.29s/step] Training: 28%|██▊ | 19445/70000 [6:52:07<18:10:26, 1.29s/step] Training: 28%|██▊ | 19446/70000 [6:52:08<17:47:31, 1.27s/step] Training: 28%|██▊ | 19447/70000 [6:52:09<18:00:14, 1.28s/step] Training: 28%|██▊ | 19448/70000 [6:52:10<17:36:08, 1.25s/step] Training: 28%|██▊ | 19449/70000 [6:52:12<18:09:21, 1.29s/step] Training: 28%|██▊ | 19450/70000 [6:52:13<17:44:35, 1.26s/step] Training: 28%|██▊ | 19451/70000 [6:52:14<17:27:08, 1.24s/step] Training: 28%|██▊ | 19452/70000 [6:52:15<17:20:22, 1.23s/step] Training: 28%|██▊ | 19453/70000 [6:52:17<17:54:37, 1.28s/step] Training: 28%|██▊ | 19454/70000 [6:52:18<17:29:29, 1.25s/step] Training: 28%|██▊ | 19455/70000 [6:52:19<17:58:43, 1.28s/step] Training: 28%|██▊ | 19456/70000 [6:52:20<17:35:49, 1.25s/step] Training: 28%|██▊ | 19457/70000 [6:52:22<17:54:34, 1.28s/step] Training: 28%|██▊ | 19458/70000 [6:52:23<17:34:06, 1.25s/step] Training: 28%|██▊ | 19459/70000 [6:52:24<17:51:34, 1.27s/step] Training: 28%|██▊ | 19460/70000 [6:52:25<17:42:28, 1.26s/step] Training: 28%|██▊ | 19461/70000 [6:52:27<18:11:10, 1.30s/step] Training: 28%|██▊ | 19462/70000 [6:52:28<17:41:34, 1.26s/step] Training: 28%|██▊ | 19463/70000 [6:52:29<17:33:54, 1.25s/step] Training: 28%|██▊ | 19464/70000 [6:52:30<17:18:32, 1.23s/step] Training: 28%|██▊ | 19465/70000 [6:52:32<17:50:02, 1.27s/step] Training: 28%|██▊ | 19466/70000 [6:52:33<17:31:42, 1.25s/step] Training: 28%|██▊ | 19467/70000 [6:52:34<17:22:07, 1.24s/step] Training: 28%|██▊ | 19468/70000 [6:52:35<17:11:18, 1.22s/step] Training: 28%|██▊ | 19469/70000 [6:52:37<17:36:46, 1.25s/step] Training: 28%|██▊ | 19470/70000 [6:52:38<18:25:57, 1.31s/step] Training: 28%|██▊ | 19471/70000 [6:52:39<18:27:21, 1.31s/step] Training: 28%|██▊ | 19472/70000 [6:52:41<17:57:31, 1.28s/step] Training: 28%|██▊ | 19473/70000 [6:52:42<18:11:10, 1.30s/step] Training: 28%|██▊ | 19474/70000 [6:52:43<17:45:23, 1.27s/step] Training: 28%|██▊ | 19475/70000 [6:52:45<18:02:19, 1.29s/step] Training: 28%|██▊ | 19476/70000 [6:52:46<18:13:37, 1.30s/step] Training: 28%|██▊ | 19477/70000 [6:52:47<17:52:07, 1.27s/step] Training: 28%|██▊ | 19478/70000 [6:52:48<18:22:32, 1.31s/step] Training: 28%|██▊ | 19479/70000 [6:52:50<18:25:57, 1.31s/step] Training: 28%|██▊ | 19480/70000 [6:52:51<17:54:14, 1.28s/step] Training: 28%|██▊ | 19481/70000 [6:52:52<17:43:29, 1.26s/step] Training: 28%|██▊ | 19482/70000 [6:52:54<17:54:57, 1.28s/step] Training: 28%|██▊ | 19483/70000 [6:52:55<18:09:58, 1.29s/step] Training: 28%|██▊ | 19484/70000 [6:52:56<17:48:39, 1.27s/step] Training: 28%|██▊ | 19485/70000 [6:52:57<18:07:09, 1.29s/step] Training: 28%|██▊ | 19486/70000 [6:52:59<18:18:25, 1.30s/step] Training: 28%|██▊ | 19487/70000 [6:53:00<18:32:08, 1.32s/step] Training: 28%|██▊ | 19488/70000 [6:53:01<18:00:27, 1.28s/step] Training: 28%|██▊ | 19489/70000 [6:53:03<18:10:26, 1.30s/step] Training: 28%|██▊ | 19490/70000 [6:53:04<17:42:52, 1.26s/step] Training: 28%|██▊ | 19491/70000 [6:53:05<18:01:57, 1.29s/step] Training: 28%|██▊ | 19492/70000 [6:53:06<17:47:27, 1.27s/step] Training: 28%|██▊ | 19493/70000 [6:53:08<18:05:05, 1.29s/step] Training: 28%|██▊ | 19494/70000 [6:53:09<18:26:05, 1.31s/step] Training: 28%|██▊ | 19495/70000 [6:53:10<18:09:19, 1.29s/step] Training: 28%|██▊ | 19496/70000 [6:53:12<17:42:37, 1.26s/step] Training: 28%|██▊ | 19497/70000 [6:53:13<18:01:33, 1.28s/step] Training: 28%|██▊ | 19498/70000 [6:53:14<17:37:40, 1.26s/step] Training: 28%|██▊ | 19499/70000 [6:53:15<17:29:54, 1.25s/step] Training: 28%|██▊ | 19500/70000 [6:53:16<17:15:06, 1.23s/step]INFO 2026-03-13 03:03:09 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.53 loss:0.075 grdn:8.460 lr:2.1e-05 updt_s:1.247 data_s:0.018 Training: 28%|██▊ | 19501/70000 [6:53:18<17:37:11, 1.26s/step] Training: 28%|██▊ | 19502/70000 [6:53:19<17:37:05, 1.26s/step] Training: 28%|██▊ | 19503/70000 [6:53:20<17:52:44, 1.27s/step] Training: 28%|██▊ | 19504/70000 [6:53:22<17:32:06, 1.25s/step] Training: 28%|██▊ | 19505/70000 [6:53:23<17:54:16, 1.28s/step] Training: 28%|██▊ | 19506/70000 [6:53:24<17:32:41, 1.25s/step] Training: 28%|██▊ | 19507/70000 [6:53:25<17:53:41, 1.28s/step] Training: 28%|██▊ | 19508/70000 [6:53:27<18:06:58, 1.29s/step] Training: 28%|██▊ | 19509/70000 [6:53:28<17:54:01, 1.28s/step] Training: 28%|██▊ | 19510/70000 [6:53:29<17:30:19, 1.25s/step] Training: 28%|██▊ | 19511/70000 [6:53:31<18:17:02, 1.30s/step] Training: 28%|██▊ | 19512/70000 [6:53:32<17:47:54, 1.27s/step] Training: 28%|██▊ | 19513/70000 [6:53:33<17:38:17, 1.26s/step] Training: 28%|██▊ | 19514/70000 [6:53:34<17:53:34, 1.28s/step] Training: 28%|██▊ | 19515/70000 [6:53:36<18:09:17, 1.29s/step] Training: 28%|██▊ | 19516/70000 [6:53:37<17:45:43, 1.27s/step] Training: 28%|██▊ | 19517/70000 [6:53:38<18:04:35, 1.29s/step] Training: 28%|██▊ | 19518/70000 [6:53:39<17:39:50, 1.26s/step] Training: 28%|██▊ | 19519/70000 [6:53:41<18:17:36, 1.30s/step] Training: 28%|██▊ | 19520/70000 [6:53:42<17:48:06, 1.27s/step] Training: 28%|██▊ | 19521/70000 [6:53:43<18:02:03, 1.29s/step] Training: 28%|██▊ | 19522/70000 [6:53:45<17:37:21, 1.26s/step] Training: 28%|██▊ | 19523/70000 [6:53:46<17:56:35, 1.28s/step] Training: 28%|██▊ | 19524/70000 [6:53:47<17:47:31, 1.27s/step] Training: 28%|██▊ | 19525/70000 [6:53:48<18:02:31, 1.29s/step] Training: 28%|██▊ | 19526/70000 [6:53:50<17:37:39, 1.26s/step] Training: 28%|██▊ | 19527/70000 [6:53:51<18:18:23, 1.31s/step] Training: 28%|██▊ | 19528/70000 [6:53:52<17:47:56, 1.27s/step] Training: 28%|██▊ | 19529/70000 [6:53:54<18:03:50, 1.29s/step] Training: 28%|██▊ | 19530/70000 [6:53:55<17:38:28, 1.26s/step] Training: 28%|██▊ | 19531/70000 [6:53:56<17:24:30, 1.24s/step] Training: 28%|██▊ | 19532/70000 [6:53:57<17:11:22, 1.23s/step] Training: 28%|██▊ | 19533/70000 [6:53:58<17:34:12, 1.25s/step] Training: 28%|██▊ | 19534/70000 [6:54:00<17:20:08, 1.24s/step] Training: 28%|██▊ | 19535/70000 [6:54:01<17:41:44, 1.26s/step] Training: 28%|██▊ | 19536/70000 [6:54:02<18:06:59, 1.29s/step] Training: 28%|██▊ | 19537/70000 [6:54:04<18:12:30, 1.30s/step] Training: 28%|██▊ | 19538/70000 [6:54:05<17:43:46, 1.26s/step] Training: 28%|██▊ | 19539/70000 [6:54:06<18:00:30, 1.28s/step] Training: 28%|██▊ | 19540/70000 [6:54:08<18:10:26, 1.30s/step] Training: 28%|██▊ | 19541/70000 [6:54:09<17:52:59, 1.28s/step] Training: 28%|██▊ | 19542/70000 [6:54:10<17:30:30, 1.25s/step] Training: 28%|██▊ | 19543/70000 [6:54:11<17:51:30, 1.27s/step] Training: 28%|██▊ | 19544/70000 [6:54:13<18:13:28, 1.30s/step] Training: 28%|██▊ | 19545/70000 [6:54:14<17:53:56, 1.28s/step] Training: 28%|██▊ | 19546/70000 [6:54:15<18:02:25, 1.29s/step] Training: 28%|██▊ | 19547/70000 [6:54:16<18:15:47, 1.30s/step] Training: 28%|██▊ | 19548/70000 [6:54:18<17:50:59, 1.27s/step] Training: 28%|██▊ | 19549/70000 [6:54:19<18:04:33, 1.29s/step] Training: 28%|██▊ | 19550/70000 [6:54:20<17:39:55, 1.26s/step] Training: 28%|██▊ | 19551/70000 [6:54:22<18:05:56, 1.29s/step] Training: 28%|██▊ | 19552/70000 [6:54:23<17:42:27, 1.26s/step] Training: 28%|██▊ | 19553/70000 [6:54:24<17:27:02, 1.25s/step] Training: 28%|██▊ | 19554/70000 [6:54:25<17:12:35, 1.23s/step] Training: 28%|██▊ | 19555/70000 [6:54:26<17:35:49, 1.26s/step] Training: 28%|██▊ | 19556/70000 [6:54:28<17:28:30, 1.25s/step] Training: 28%|██▊ | 19557/70000 [6:54:29<17:49:04, 1.27s/step] Training: 28%|██▊ | 19558/70000 [6:54:30<17:29:29, 1.25s/step] Training: 28%|██▊ | 19559/70000 [6:54:31<17:24:45, 1.24s/step] Training: 28%|██▊ | 19560/70000 [6:54:33<17:19:09, 1.24s/step] Training: 28%|██▊ | 19561/70000 [6:54:34<17:53:02, 1.28s/step] Training: 28%|██▊ | 19562/70000 [6:54:35<17:31:26, 1.25s/step] Training: 28%|██▊ | 19563/70000 [6:54:36<17:25:50, 1.24s/step] Training: 28%|██▊ | 19564/70000 [6:54:38<17:11:36, 1.23s/step] Training: 28%|██▊ | 19565/70000 [6:54:39<17:35:26, 1.26s/step] Training: 28%|██▊ | 19566/70000 [6:54:40<17:20:31, 1.24s/step] Training: 28%|██▊ | 19567/70000 [6:54:42<17:41:56, 1.26s/step] Training: 28%|██▊ | 19568/70000 [6:54:43<17:43:28, 1.27s/step] Training: 28%|██▊ | 19569/70000 [6:54:44<17:56:50, 1.28s/step] Training: 28%|██▊ | 19570/70000 [6:54:45<17:34:05, 1.25s/step] Training: 28%|██▊ | 19571/70000 [6:54:47<17:51:53, 1.28s/step] Training: 28%|██▊ | 19572/70000 [6:54:48<18:04:48, 1.29s/step] Training: 28%|██▊ | 19573/70000 [6:54:49<17:46:46, 1.27s/step] Training: 28%|██▊ | 19574/70000 [6:54:50<17:27:56, 1.25s/step] Training: 28%|██▊ | 19575/70000 [6:54:52<17:49:24, 1.27s/step] Training: 28%|██▊ | 19576/70000 [6:54:53<17:28:06, 1.25s/step] Training: 28%|██▊ | 19577/70000 [6:54:54<18:12:10, 1.30s/step] Training: 28%|██▊ | 19578/70000 [6:54:55<17:46:06, 1.27s/step] Training: 28%|██▊ | 19579/70000 [6:54:57<18:00:08, 1.29s/step] Training: 28%|██▊ | 19580/70000 [6:54:58<17:42:22, 1.26s/step] Training: 28%|██▊ | 19581/70000 [6:54:59<18:00:23, 1.29s/step] Training: 28%|██▊ | 19582/70000 [6:55:01<17:35:38, 1.26s/step] Training: 28%|██▊ | 19583/70000 [6:55:02<17:59:54, 1.29s/step] Training: 28%|██▊ | 19584/70000 [6:55:03<17:35:35, 1.26s/step] Training: 28%|██▊ | 19585/70000 [6:55:04<18:11:55, 1.30s/step] Training: 28%|██▊ | 19586/70000 [6:55:06<17:44:46, 1.27s/step] Training: 28%|██▊ | 19587/70000 [6:55:07<17:59:25, 1.28s/step] Training: 28%|██▊ | 19588/70000 [6:55:08<17:43:36, 1.27s/step] Training: 28%|██▊ | 19589/70000 [6:55:10<17:58:27, 1.28s/step] Training: 28%|██▊ | 19590/70000 [6:55:11<17:36:04, 1.26s/step] Training: 28%|██▊ | 19591/70000 [6:55:12<17:31:42, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=32793 Training: 28%|██▊ | 19592/70000 [6:55:13<17:18:12, 1.24s/step] Training: 28%|██▊ | 19593/70000 [6:55:15<17:51:29, 1.28s/step] Training: 28%|██▊ | 19594/70000 [6:55:16<18:12:54, 1.30s/step] Training: 28%|██▊ | 19595/70000 [6:55:17<17:47:54, 1.27s/step] Training: 28%|██▊ | 19596/70000 [6:55:18<17:28:06, 1.25s/step] Training: 28%|██▊ | 19597/70000 [6:55:20<17:43:09, 1.27s/step] Training: 28%|██▊ | 19598/70000 [6:55:21<17:26:02, 1.25s/step] Training: 28%|██▊ | 19599/70000 [6:55:22<17:47:51, 1.27s/step] Training: 28%|██▊ | 19600/70000 [6:55:23<17:27:59, 1.25s/step]INFO 2026-03-13 03:05:15 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.61 loss:0.077 grdn:8.533 lr:2.1e-05 updt_s:1.247 data_s:0.019 Training: 28%|██▊ | 19601/70000 [6:55:25<17:56:19, 1.28s/step] Training: 28%|██▊ | 19602/70000 [6:55:26<17:31:41, 1.25s/step] Training: 28%|██▊ | 19603/70000 [6:55:27<17:50:33, 1.27s/step] Training: 28%|██▊ | 19604/70000 [6:55:29<18:04:36, 1.29s/step] Training: 28%|██▊ | 19605/70000 [6:55:30<17:48:59, 1.27s/step] Training: 28%|██▊ | 19606/70000 [6:55:31<17:30:20, 1.25s/step] Training: 28%|██▊ | 19607/70000 [6:55:32<17:47:37, 1.27s/step] Training: 28%|██▊ | 19608/70000 [6:55:33<17:28:36, 1.25s/step] Training: 28%|██▊ | 19609/70000 [6:55:35<17:58:29, 1.28s/step] Training: 28%|██▊ | 19610/70000 [6:55:36<18:14:14, 1.30s/step] Training: 28%|██▊ | 19611/70000 [6:55:37<17:43:42, 1.27s/step] Training: 28%|██▊ | 19612/70000 [6:55:39<18:23:14, 1.31s/step] Training: 28%|██▊ | 19613/70000 [6:55:40<18:27:35, 1.32s/step] Training: 28%|██▊ | 19614/70000 [6:55:41<17:56:10, 1.28s/step] Training: 28%|██▊ | 19615/70000 [6:55:43<17:44:04, 1.27s/step] Training: 28%|██▊ | 19616/70000 [6:55:44<17:23:07, 1.24s/step] Training: 28%|██▊ | 19617/70000 [6:55:45<17:43:20, 1.27s/step] Training: 28%|██▊ | 19618/70000 [6:55:46<18:03:37, 1.29s/step] Training: 28%|██▊ | 19619/70000 [6:55:48<17:36:18, 1.26s/step] Training: 28%|██▊ | 19620/70000 [6:55:49<17:59:02, 1.29s/step] Training: 28%|██▊ | 19621/70000 [6:55:50<18:12:14, 1.30s/step] Training: 28%|██▊ | 19622/70000 [6:55:51<17:43:37, 1.27s/step] Training: 28%|██▊ | 19623/70000 [6:55:53<17:38:35, 1.26s/step] Training: 28%|██▊ | 19624/70000 [6:55:54<17:21:10, 1.24s/step] Training: 28%|██▊ | 19625/70000 [6:55:55<17:19:20, 1.24s/step] Training: 28%|██▊ | 19626/70000 [6:55:56<17:40:22, 1.26s/step] Training: 28%|██▊ | 19627/70000 [6:55:58<17:21:38, 1.24s/step] Training: 28%|██▊ | 19628/70000 [6:55:59<17:08:31, 1.23s/step] Training: 28%|██▊ | 19629/70000 [6:56:00<17:32:34, 1.25s/step] Training: 28%|██▊ | 19630/70000 [6:56:01<17:17:54, 1.24s/step] Training: 28%|██▊ | 19631/70000 [6:56:03<17:43:43, 1.27s/step] Training: 28%|██▊ | 19632/70000 [6:56:04<17:23:41, 1.24s/step] Training: 28%|██▊ | 19633/70000 [6:56:05<17:46:37, 1.27s/step] Training: 28%|██▊ | 19634/70000 [6:56:06<17:39:09, 1.26s/step] Training: 28%|██▊ | 19635/70000 [6:56:08<17:20:53, 1.24s/step] Training: 28%|██▊ | 19636/70000 [6:56:09<17:49:28, 1.27s/step] Training: 28%|██▊ | 19637/70000 [6:56:10<17:38:37, 1.26s/step] Training: 28%|██▊ | 19638/70000 [6:56:11<17:20:22, 1.24s/step] Training: 28%|██▊ | 19639/70000 [6:56:13<17:42:35, 1.27s/step] Training: 28%|██▊ | 19640/70000 [6:56:14<17:23:02, 1.24s/step] Training: 28%|██▊ | 19641/70000 [6:56:15<17:49:05, 1.27s/step] Training: 28%|██▊ | 19642/70000 [6:56:17<17:40:10, 1.26s/step] Training: 28%|██▊ | 19643/70000 [6:56:18<17:18:49, 1.24s/step] Training: 28%|██▊ | 19644/70000 [6:56:19<17:21:16, 1.24s/step] Training: 28%|██▊ | 19645/70000 [6:56:20<17:50:04, 1.28s/step] Training: 28%|██▊ | 19646/70000 [6:56:21<17:28:43, 1.25s/step] Training: 28%|██▊ | 19647/70000 [6:56:23<17:57:00, 1.28s/step] Training: 28%|██▊ | 19648/70000 [6:56:24<17:34:03, 1.26s/step] Training: 28%|██▊ | 19649/70000 [6:56:25<17:52:26, 1.28s/step] Training: 28%|██▊ | 19650/70000 [6:56:27<17:30:11, 1.25s/step] Training: 28%|██▊ | 19651/70000 [6:56:28<17:54:16, 1.28s/step] Training: 28%|██▊ | 19652/70000 [6:56:29<17:41:53, 1.27s/step] Training: 28%|██▊ | 19653/70000 [6:56:31<18:19:33, 1.31s/step] Training: 28%|██▊ | 19654/70000 [6:56:32<17:48:56, 1.27s/step] Training: 28%|██▊ | 19655/70000 [6:56:33<17:46:16, 1.27s/step] Training: 28%|██▊ | 19656/70000 [6:56:34<17:25:25, 1.25s/step] Training: 28%|██▊ | 19657/70000 [6:56:35<17:21:55, 1.24s/step] Training: 28%|██▊ | 19658/70000 [6:56:37<17:42:05, 1.27s/step] Training: 28%|██▊ | 19659/70000 [6:56:38<17:44:58, 1.27s/step] Training: 28%|██▊ | 19660/70000 [6:56:39<18:00:38, 1.29s/step] Training: 28%|██▊ | 19661/70000 [6:56:41<17:46:43, 1.27s/step] Training: 28%|██▊ | 19662/70000 [6:56:42<17:26:07, 1.25s/step] Training: 28%|██▊ | 19663/70000 [6:56:43<17:46:15, 1.27s/step] Training: 28%|██▊ | 19664/70000 [6:56:44<17:25:56, 1.25s/step] Training: 28%|██▊ | 19665/70000 [6:56:46<17:46:33, 1.27s/step] Training: 28%|██▊ | 19666/70000 [6:56:47<17:25:52, 1.25s/step] Training: 28%|██▊ | 19667/70000 [6:56:48<17:53:02, 1.28s/step] Training: 28%|██▊ | 19668/70000 [6:56:50<18:03:26, 1.29s/step] Training: 28%|██▊ | 19669/70000 [6:56:51<17:47:24, 1.27s/step] Training: 28%|██▊ | 19670/70000 [6:56:52<17:27:22, 1.25s/step] Training: 28%|██▊ | 19671/70000 [6:56:53<17:47:45, 1.27s/step] Training: 28%|██▊ | 19672/70000 [6:56:54<17:27:46, 1.25s/step] Training: 28%|██▊ | 19673/70000 [6:56:56<17:18:16, 1.24s/step] Training: 28%|██▊ | 19674/70000 [6:56:57<17:36:25, 1.26s/step] Training: 28%|██▊ | 19675/70000 [6:56:58<18:01:02, 1.29s/step] Training: 28%|██▊ | 19676/70000 [6:57:00<17:50:11, 1.28s/step] Training: 28%|██▊ | 19677/70000 [6:57:01<18:11:55, 1.30s/step] Training: 28%|██▊ | 19678/70000 [6:57:02<17:44:53, 1.27s/step] Training: 28%|██▊ | 19679/70000 [6:57:03<18:07:33, 1.30s/step] Training: 28%|██▊ | 19680/70000 [6:57:05<17:40:55, 1.27s/step] Training: 28%|██▊ | 19681/70000 [6:57:06<17:30:41, 1.25s/step] Training: 28%|██▊ | 19682/70000 [6:57:07<17:29:11, 1.25s/step] Training: 28%|██▊ | 19683/70000 [6:57:08<17:13:07, 1.23s/step] Training: 28%|██▊ | 19684/70000 [6:57:10<17:41:19, 1.27s/step] Training: 28%|██▊ | 19685/70000 [6:57:11<18:19:42, 1.31s/step] Training: 28%|██▊ | 19686/70000 [6:57:12<17:48:49, 1.27s/step] Training: 28%|██▊ | 19687/70000 [6:57:14<17:41:34, 1.27s/step] Training: 28%|██▊ | 19688/70000 [6:57:15<17:23:34, 1.24s/step] Training: 28%|██▊ | 19689/70000 [6:57:16<17:10:27, 1.23s/step] Training: 28%|██▊ | 19690/70000 [6:57:17<17:35:08, 1.26s/step] Training: 28%|██▊ | 19691/70000 [6:57:18<17:17:25, 1.24s/step] Training: 28%|██▊ | 19692/70000 [6:57:20<18:13:55, 1.30s/step] Training: 28%|██▊ | 19693/70000 [6:57:21<17:57:09, 1.28s/step] Training: 28%|██▊ | 19694/70000 [6:57:22<17:33:09, 1.26s/step] Training: 28%|██▊ | 19695/70000 [6:57:24<17:21:45, 1.24s/step] Training: 28%|██▊ | 19696/70000 [6:57:25<17:41:09, 1.27s/step] Training: 28%|██▊ | 19697/70000 [6:57:26<17:22:39, 1.24s/step] Training: 28%|██▊ | 19698/70000 [6:57:27<18:05:46, 1.30s/step] Training: 28%|██▊ | 19699/70000 [6:57:29<17:38:41, 1.26s/step] Training: 28%|██▊ | 19700/70000 [6:57:30<17:54:58, 1.28s/step]INFO 2026-03-13 03:07:22 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.70 loss:0.075 grdn:8.670 lr:2.1e-05 updt_s:1.245 data_s:0.019 Training: 28%|██▊ | 19701/70000 [6:57:31<17:37:29, 1.26s/step] Training: 28%|██▊ | 19702/70000 [6:57:32<17:19:34, 1.24s/step] Training: 28%|██▊ | 19703/70000 [6:57:34<17:42:40, 1.27s/step] Training: 28%|██▊ | 19704/70000 [6:57:35<17:37:12, 1.26s/step] Training: 28%|██▊ | 19705/70000 [6:57:36<17:18:22, 1.24s/step] Training: 28%|██▊ | 19706/70000 [6:57:38<18:05:04, 1.29s/step] Training: 28%|██▊ | 19707/70000 [6:57:39<17:39:06, 1.26s/step] Training: 28%|██▊ | 19708/70000 [6:57:40<18:14:11, 1.31s/step] Training: 28%|██▊ | 19709/70000 [6:57:41<18:15:26, 1.31s/step] Training: 28%|██▊ | 19710/70000 [6:57:43<17:45:38, 1.27s/step] Training: 28%|██▊ | 19711/70000 [6:57:44<18:02:44, 1.29s/step] Training: 28%|██▊ | 19712/70000 [6:57:45<17:41:28, 1.27s/step] Training: 28%|██▊ | 19713/70000 [6:57:46<17:22:02, 1.24s/step] Training: 28%|██▊ | 19714/70000 [6:57:48<17:43:08, 1.27s/step] Training: 28%|██▊ | 19715/70000 [6:57:49<17:22:48, 1.24s/step] Training: 28%|██▊ | 19716/70000 [6:57:50<17:22:32, 1.24s/step] Training: 28%|██▊ | 19717/70000 [6:57:52<17:59:45, 1.29s/step] Training: 28%|██▊ | 19718/70000 [6:57:53<17:34:34, 1.26s/step] Training: 28%|██▊ | 19719/70000 [6:57:54<17:28:49, 1.25s/step] Training: 28%|██▊ | 19720/70000 [6:57:55<17:46:33, 1.27s/step] Training: 28%|██▊ | 19721/70000 [6:57:56<17:26:50, 1.25s/step] Training: 28%|██▊ | 19722/70000 [6:57:58<17:16:42, 1.24s/step] Training: 28%|██▊ | 19723/70000 [6:57:59<17:03:35, 1.22s/step] Training: 28%|██▊ | 19724/70000 [6:58:00<17:30:01, 1.25s/step] Training: 28%|██▊ | 19725/70000 [6:58:02<17:53:38, 1.28s/step] Training: 28%|██▊ | 19726/70000 [6:58:03<17:28:25, 1.25s/step] Training: 28%|██▊ | 19727/70000 [6:58:04<17:22:18, 1.24s/step] Training: 28%|██▊ | 19728/70000 [6:58:05<17:43:53, 1.27s/step] Training: 28%|██▊ | 19729/70000 [6:58:06<17:23:44, 1.25s/step] Training: 28%|██▊ | 19730/70000 [6:58:08<17:52:27, 1.28s/step] Training: 28%|██▊ | 19731/70000 [6:58:09<17:28:58, 1.25s/step] Training: 28%|██▊ | 19732/70000 [6:58:10<17:54:43, 1.28s/step] Training: 28%|██▊ | 19733/70000 [6:58:12<18:37:10, 1.33s/step] Training: 28%|██▊ | 19734/70000 [6:58:13<18:00:17, 1.29s/step] Training: 28%|██▊ | 19735/70000 [6:58:14<17:35:06, 1.26s/step] Training: 28%|██▊ | 19736/70000 [6:58:16<18:17:02, 1.31s/step] Training: 28%|██▊ | 19737/70000 [6:58:17<17:46:39, 1.27s/step] Training: 28%|██▊ | 19738/70000 [6:58:18<17:38:46, 1.26s/step] Training: 28%|██▊ | 19739/70000 [6:58:19<17:51:28, 1.28s/step] Training: 28%|██▊ | 19740/70000 [6:58:21<17:45:37, 1.27s/step] Training: 28%|██▊ | 19741/70000 [6:58:22<18:07:14, 1.30s/step] Training: 28%|██▊ | 19742/70000 [6:58:23<17:37:33, 1.26s/step] Training: 28%|██▊ | 19743/70000 [6:58:25<17:55:50, 1.28s/step] Training: 28%|██▊ | 19744/70000 [6:58:26<17:37:47, 1.26s/step] Training: 28%|██▊ | 19745/70000 [6:58:27<17:19:08, 1.24s/step] Training: 28%|██▊ | 19746/70000 [6:58:28<17:06:02, 1.23s/step] Training: 28%|██▊ | 19747/70000 [6:58:29<17:34:00, 1.26s/step] Training: 28%|██▊ | 19748/70000 [6:58:31<17:26:43, 1.25s/step] Training: 28%|██▊ | 19749/70000 [6:58:32<18:12:46, 1.30s/step] Training: 28%|██▊ | 19750/70000 [6:58:33<17:41:36, 1.27s/step] Training: 28%|██▊ | 19751/70000 [6:58:34<17:25:10, 1.25s/step] Training: 28%|██▊ | 19752/70000 [6:58:36<17:47:19, 1.27s/step] Training: 28%|██▊ | 19753/70000 [6:58:37<17:25:42, 1.25s/step] Training: 28%|██▊ | 19754/70000 [6:58:38<17:11:22, 1.23s/step] Training: 28%|██▊ | 19755/70000 [6:58:39<17:04:54, 1.22s/step] Training: 28%|██▊ | 19756/70000 [6:58:41<17:33:56, 1.26s/step] Training: 28%|██▊ | 19757/70000 [6:58:42<17:25:51, 1.25s/step] Training: 28%|██▊ | 19758/70000 [6:58:43<17:48:58, 1.28s/step] Training: 28%|██▊ | 19759/70000 [6:58:45<17:33:33, 1.26s/step] Training: 28%|██▊ | 19760/70000 [6:58:46<17:50:40, 1.28s/step] Training: 28%|██▊ | 19761/70000 [6:58:47<17:28:55, 1.25s/step] Training: 28%|██▊ | 19762/70000 [6:58:48<17:26:21, 1.25s/step] Training: 28%|██▊ | 19763/70000 [6:58:50<17:45:22, 1.27s/step] Training: 28%|██▊ | 19764/70000 [6:58:51<18:11:14, 1.30s/step] Training: 28%|██▊ | 19765/70000 [6:58:52<17:48:07, 1.28s/step] Training: 28%|██▊ | 19766/70000 [6:58:54<18:03:55, 1.29s/step] Training: 28%|██▊ | 19767/70000 [6:58:55<17:35:05, 1.26s/step] Training: 28%|██▊ | 19768/70000 [6:58:56<18:14:13, 1.31s/step] Training: 28%|██▊ | 19769/70000 [6:58:57<17:44:27, 1.27s/step] Training: 28%|██▊ | 19770/70000 [6:58:59<17:30:38, 1.26s/step] Training: 28%|██▊ | 19771/70000 [6:59:00<17:54:28, 1.28s/step] Training: 28%|██▊ | 19772/70000 [6:59:01<17:46:43, 1.27s/step] Training: 28%|██▊ | 19773/70000 [6:59:02<17:59:45, 1.29s/step] Training: 28%|██▊ | 19774/70000 [6:59:04<17:42:50, 1.27s/step] Training: 28%|██▊ | 19775/70000 [6:59:05<17:57:48, 1.29s/step] Training: 28%|██▊ | 19776/70000 [6:59:06<17:38:15, 1.26s/step] Training: 28%|██▊ | 19777/70000 [6:59:07<17:20:02, 1.24s/step] Training: 28%|██▊ | 19778/70000 [6:59:09<17:43:36, 1.27s/step] Training: 28%|██▊ | 19779/70000 [6:59:10<17:34:46, 1.26s/step] Training: 28%|██▊ | 19780/70000 [6:59:11<17:53:59, 1.28s/step] Training: 28%|██▊ | 19781/70000 [6:59:13<18:04:42, 1.30s/step] Training: 28%|██▊ | 19782/70000 [6:59:14<17:54:25, 1.28s/step] Training: 28%|██▊ | 19783/70000 [6:59:15<17:31:03, 1.26s/step] Training: 28%|██▊ | 19784/70000 [6:59:16<17:47:27, 1.28s/step] Training: 28%|██▊ | 19785/70000 [6:59:18<17:26:00, 1.25s/step] Training: 28%|██▊ | 19786/70000 [6:59:19<17:48:22, 1.28s/step] Training: 28%|██▊ | 19787/70000 [6:59:20<18:04:36, 1.30s/step] Training: 28%|██▊ | 19788/70000 [6:59:22<18:14:46, 1.31s/step] Training: 28%|██▊ | 19789/70000 [6:59:23<17:55:07, 1.28s/step] Training: 28%|██▊ | 19790/70000 [6:59:24<17:30:08, 1.25s/step] Training: 28%|██▊ | 19791/70000 [6:59:25<17:51:18, 1.28s/step] Training: 28%|██▊ | 19792/70000 [6:59:27<18:01:00, 1.29s/step] Training: 28%|██▊ | 19793/70000 [6:59:28<17:35:24, 1.26s/step] Training: 28%|██▊ | 19794/70000 [6:59:29<17:27:54, 1.25s/step] Training: 28%|██▊ | 19795/70000 [6:59:30<17:48:07, 1.28s/step] Training: 28%|██▊ | 19796/70000 [6:59:32<18:13:41, 1.31s/step] Training: 28%|██▊ | 19797/70000 [6:59:33<17:50:20, 1.28s/step] Training: 28%|██▊ | 19798/70000 [6:59:34<17:29:06, 1.25s/step] Training: 28%|██▊ | 19799/70000 [6:59:36<17:29:33, 1.25s/step] Training: 28%|██▊ | 19800/70000 [6:59:37<18:08:03, 1.30s/step]INFO 2026-03-13 03:09:29 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.78 loss:0.080 grdn:10.624 lr:2.1e-05 updt_s:1.249 data_s:0.018 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=49079 Training: 28%|██▊ | 19801/70000 [6:59:38<17:40:23, 1.27s/step] Training: 28%|██▊ | 19802/70000 [6:59:39<17:25:26, 1.25s/step] Training: 28%|██▊ | 19803/70000 [6:59:41<17:46:04, 1.27s/step] Training: 28%|██▊ | 19804/70000 [6:59:42<17:45:22, 1.27s/step] Training: 28%|██▊ | 19805/70000 [6:59:43<17:57:56, 1.29s/step] Training: 28%|██▊ | 19806/70000 [6:59:44<17:33:37, 1.26s/step] Training: 28%|██▊ | 19807/70000 [6:59:46<17:48:28, 1.28s/step] Training: 28%|██▊ | 19808/70000 [6:59:47<18:02:49, 1.29s/step] Training: 28%|██▊ | 19809/70000 [6:59:48<17:35:19, 1.26s/step] Training: 28%|██▊ | 19810/70000 [6:59:50<17:52:22, 1.28s/step] Training: 28%|██▊ | 19811/70000 [6:59:51<17:40:44, 1.27s/step] Training: 28%|██▊ | 19812/70000 [6:59:52<18:00:50, 1.29s/step] Training: 28%|██▊ | 19813/70000 [6:59:54<18:09:18, 1.30s/step] Training: 28%|██▊ | 19814/70000 [6:59:55<17:41:22, 1.27s/step] Training: 28%|██▊ | 19815/70000 [6:59:56<18:06:20, 1.30s/step] Training: 28%|██▊ | 19816/70000 [6:59:57<18:14:20, 1.31s/step] Training: 28%|██▊ | 19817/70000 [6:59:59<17:44:46, 1.27s/step] Training: 28%|██▊ | 19818/70000 [7:00:00<18:01:30, 1.29s/step] Training: 28%|██▊ | 19819/70000 [7:00:01<18:20:47, 1.32s/step] Training: 28%|██▊ | 19820/70000 [7:00:03<18:23:20, 1.32s/step] Training: 28%|██▊ | 19821/70000 [7:00:04<17:58:22, 1.29s/step] Training: 28%|██▊ | 19822/70000 [7:00:05<17:33:38, 1.26s/step] Training: 28%|██▊ | 19823/70000 [7:00:06<17:26:06, 1.25s/step] Training: 28%|██▊ | 19824/70000 [7:00:08<18:18:54, 1.31s/step] Training: 28%|██▊ | 19825/70000 [7:00:09<17:47:07, 1.28s/step] Training: 28%|██▊ | 19826/70000 [7:00:10<17:40:01, 1.27s/step] Training: 28%|██▊ | 19827/70000 [7:00:12<18:02:06, 1.29s/step] Training: 28%|██▊ | 19828/70000 [7:00:13<18:29:41, 1.33s/step] Training: 28%|██▊ | 19829/70000 [7:00:14<18:01:07, 1.29s/step] Training: 28%|██▊ | 19830/70000 [7:00:15<17:35:28, 1.26s/step] Training: 28%|██▊ | 19831/70000 [7:00:17<17:17:03, 1.24s/step] Training: 28%|██▊ | 19832/70000 [7:00:18<17:58:54, 1.29s/step] Training: 28%|██▊ | 19833/70000 [7:00:19<17:33:03, 1.26s/step] Training: 28%|██▊ | 19834/70000 [7:00:20<17:20:13, 1.24s/step] Training: 28%|██▊ | 19835/70000 [7:00:22<17:44:55, 1.27s/step] Training: 28%|██▊ | 19836/70000 [7:00:23<17:36:59, 1.26s/step] Training: 28%|██▊ | 19837/70000 [7:00:24<17:56:23, 1.29s/step] Training: 28%|██▊ | 19838/70000 [7:00:25<17:32:31, 1.26s/step] Training: 28%|██▊ | 19839/70000 [7:00:27<17:14:55, 1.24s/step] Training: 28%|██▊ | 19840/70000 [7:00:28<17:10:03, 1.23s/step] Training: 28%|██▊ | 19841/70000 [7:00:29<16:58:45, 1.22s/step] Training: 28%|██▊ | 19842/70000 [7:00:30<17:27:12, 1.25s/step] Training: 28%|██▊ | 19843/70000 [7:00:32<17:15:57, 1.24s/step] Training: 28%|██▊ | 19844/70000 [7:00:33<17:36:54, 1.26s/step] Training: 28%|██▊ | 19845/70000 [7:00:34<17:54:20, 1.29s/step] Training: 28%|██▊ | 19846/70000 [7:00:35<17:30:10, 1.26s/step] Training: 28%|██▊ | 19847/70000 [7:00:37<17:25:34, 1.25s/step] Training: 28%|██▊ | 19848/70000 [7:00:38<17:54:27, 1.29s/step] Training: 28%|██▊ | 19849/70000 [7:00:39<17:29:47, 1.26s/step] Training: 28%|██▊ | 19850/70000 [7:00:41<17:50:24, 1.28s/step] Training: 28%|██▊ | 19851/70000 [7:00:42<18:00:56, 1.29s/step] Training: 28%|██▊ | 19852/70000 [7:00:43<18:10:04, 1.30s/step] Training: 28%|██▊ | 19853/70000 [7:00:45<18:14:19, 1.31s/step] Training: 28%|██▊ | 19854/70000 [7:00:46<17:44:18, 1.27s/step] Training: 28%|██▊ | 19855/70000 [7:00:47<17:25:58, 1.25s/step] Training: 28%|██▊ | 19856/70000 [7:00:48<17:44:29, 1.27s/step] Training: 28%|██▊ | 19857/70000 [7:00:49<17:24:49, 1.25s/step] Training: 28%|██▊ | 19858/70000 [7:00:51<17:31:09, 1.26s/step] Training: 28%|██▊ | 19859/70000 [7:00:52<17:49:10, 1.28s/step] Training: 28%|██▊ | 19860/70000 [7:00:53<17:27:14, 1.25s/step] Training: 28%|██▊ | 19861/70000 [7:00:55<17:46:21, 1.28s/step] Training: 28%|██▊ | 19862/70000 [7:00:56<17:25:05, 1.25s/step] Training: 28%|██▊ | 19863/70000 [7:00:57<17:45:42, 1.28s/step] Training: 28%|██▊ | 19864/70000 [7:00:58<18:00:22, 1.29s/step] Training: 28%|██▊ | 19865/70000 [7:01:00<18:14:04, 1.31s/step] Training: 28%|██▊ | 19866/70000 [7:01:01<17:52:17, 1.28s/step] Training: 28%|██▊ | 19867/70000 [7:01:02<18:05:36, 1.30s/step] Training: 28%|██▊ | 19868/70000 [7:01:04<17:41:11, 1.27s/step] Training: 28%|██▊ | 19869/70000 [7:01:05<18:21:04, 1.32s/step] Training: 28%|██▊ | 19870/70000 [7:01:06<17:49:22, 1.28s/step] Training: 28%|██▊ | 19871/70000 [7:01:07<18:01:45, 1.29s/step] Training: 28%|██▊ | 19872/70000 [7:01:09<17:39:06, 1.27s/step] Training: 28%|██▊ | 19873/70000 [7:01:10<17:33:06, 1.26s/step] Training: 28%|██▊ | 19874/70000 [7:01:11<17:55:44, 1.29s/step] Training: 28%|██▊ | 19875/70000 [7:01:12<17:33:50, 1.26s/step] Training: 28%|██▊ | 19876/70000 [7:01:14<17:15:31, 1.24s/step] Training: 28%|██▊ | 19877/70000 [7:01:15<17:40:42, 1.27s/step] Training: 28%|██▊ | 19878/70000 [7:01:16<17:21:00, 1.25s/step] Training: 28%|██▊ | 19879/70000 [7:01:17<17:17:27, 1.24s/step] Training: 28%|██▊ | 19880/70000 [7:01:19<17:38:59, 1.27s/step] Training: 28%|██▊ | 19881/70000 [7:01:20<17:35:43, 1.26s/step] Training: 28%|██▊ | 19882/70000 [7:01:21<17:50:12, 1.28s/step] Training: 28%|██▊ | 19883/70000 [7:01:23<18:01:57, 1.30s/step] Training: 28%|██▊ | 19884/70000 [7:01:24<17:36:01, 1.26s/step] Training: 28%|██▊ | 19885/70000 [7:01:25<18:20:29, 1.32s/step] Training: 28%|██▊ | 19886/70000 [7:01:26<17:50:18, 1.28s/step] Training: 28%|██▊ | 19887/70000 [7:01:28<17:35:49, 1.26s/step] Training: 28%|██▊ | 19888/70000 [7:01:29<17:51:29, 1.28s/step] Training: 28%|██▊ | 19889/70000 [7:01:30<17:27:33, 1.25s/step] Training: 28%|██▊ | 19890/70000 [7:01:32<17:49:11, 1.28s/step] Training: 28%|██▊ | 19891/70000 [7:01:33<17:58:49, 1.29s/step] Training: 28%|██▊ | 19892/70000 [7:01:34<17:33:39, 1.26s/step] Training: 28%|██▊ | 19893/70000 [7:01:35<17:49:20, 1.28s/step] Training: 28%|██▊ | 19894/70000 [7:01:37<17:27:11, 1.25s/step] Training: 28%|██▊ | 19895/70000 [7:01:38<17:44:35, 1.27s/step] Training: 28%|██▊ | 19896/70000 [7:01:39<17:55:57, 1.29s/step] Training: 28%|██▊ | 19897/70000 [7:01:40<17:31:36, 1.26s/step] Training: 28%|██▊ | 19898/70000 [7:01:42<17:39:43, 1.27s/step] Training: 28%|██▊ | 19899/70000 [7:01:43<17:53:12, 1.29s/step] Training: 28%|██▊ | 19900/70000 [7:01:44<17:28:49, 1.26s/step]INFO 2026-03-13 03:11:36 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.87 loss:0.077 grdn:8.512 lr:2.1e-05 updt_s:1.252 data_s:0.019 Training: 28%|██▊ | 19901/70000 [7:01:46<17:46:08, 1.28s/step] Training: 28%|██▊ | 19902/70000 [7:01:47<17:23:57, 1.25s/step] Training: 28%|██▊ | 19903/70000 [7:01:48<17:07:53, 1.23s/step] Training: 28%|██▊ | 19904/70000 [7:01:49<17:31:57, 1.26s/step] Training: 28%|██▊ | 19905/70000 [7:01:50<17:13:41, 1.24s/step] Training: 28%|██▊ | 19906/70000 [7:01:52<17:38:01, 1.27s/step] Training: 28%|██▊ | 19907/70000 [7:01:53<17:55:02, 1.29s/step] Training: 28%|██▊ | 19908/70000 [7:01:54<17:27:23, 1.25s/step] Training: 28%|██▊ | 19909/70000 [7:01:56<17:46:45, 1.28s/step] Training: 28%|██▊ | 19910/70000 [7:01:57<17:24:40, 1.25s/step] Training: 28%|██▊ | 19911/70000 [7:01:58<17:08:17, 1.23s/step] Training: 28%|██▊ | 19912/70000 [7:01:59<17:55:12, 1.29s/step] Training: 28%|██▊ | 19913/70000 [7:02:01<17:29:59, 1.26s/step] Training: 28%|██▊ | 19914/70000 [7:02:02<17:55:49, 1.29s/step] Training: 28%|██▊ | 19915/70000 [7:02:03<18:01:41, 1.30s/step] Training: 28%|██▊ | 19916/70000 [7:02:04<17:35:52, 1.26s/step] Training: 28%|██▊ | 19917/70000 [7:02:06<18:01:35, 1.30s/step] Training: 28%|██▊ | 19918/70000 [7:02:07<17:34:59, 1.26s/step] Training: 28%|██▊ | 19919/70000 [7:02:08<17:15:59, 1.24s/step] Training: 28%|██▊ | 19920/70000 [7:02:10<17:38:44, 1.27s/step] Training: 28%|██▊ | 19921/70000 [7:02:11<17:18:45, 1.24s/step] Training: 28%|██▊ | 19922/70000 [7:02:12<17:16:14, 1.24s/step] Training: 28%|██▊ | 19923/70000 [7:02:13<18:09:56, 1.31s/step] Training: 28%|██▊ | 19924/70000 [7:02:15<17:40:56, 1.27s/step] Training: 28%|██▊ | 19925/70000 [7:02:16<17:53:43, 1.29s/step] Training: 28%|██▊ | 19926/70000 [7:02:17<17:29:44, 1.26s/step] Training: 28%|██▊ | 19927/70000 [7:02:18<17:12:00, 1.24s/step] Training: 28%|██▊ | 19928/70000 [7:02:20<17:57:12, 1.29s/step] Training: 28%|██▊ | 19929/70000 [7:02:21<17:31:16, 1.26s/step] Training: 28%|██▊ | 19930/70000 [7:02:22<17:19:34, 1.25s/step] Training: 28%|██▊ | 19931/70000 [7:02:23<17:44:00, 1.28s/step] Training: 28%|██▊ | 19932/70000 [7:02:25<17:21:33, 1.25s/step] Training: 28%|██▊ | 19933/70000 [7:02:26<17:41:12, 1.27s/step] Training: 28%|██▊ | 19934/70000 [7:02:27<17:22:23, 1.25s/step] Training: 28%|██▊ | 19935/70000 [7:02:28<17:08:31, 1.23s/step] Training: 28%|██▊ | 19936/70000 [7:02:30<17:31:31, 1.26s/step] Training: 28%|██▊ | 19937/70000 [7:02:31<17:13:49, 1.24s/step] Training: 28%|██▊ | 19938/70000 [7:02:32<17:38:51, 1.27s/step] Training: 28%|██▊ | 19939/70000 [7:02:34<17:57:43, 1.29s/step] Training: 28%|██▊ | 19940/70000 [7:02:35<17:29:55, 1.26s/step] Training: 28%|██▊ | 19941/70000 [7:02:36<17:51:50, 1.28s/step] Training: 28%|██▊ | 19942/70000 [7:02:37<17:28:50, 1.26s/step] Training: 28%|██▊ | 19943/70000 [7:02:39<17:11:51, 1.24s/step] Training: 28%|██▊ | 19944/70000 [7:02:40<17:32:52, 1.26s/step] Training: 28%|██▊ | 19945/70000 [7:02:41<17:14:45, 1.24s/step] Training: 28%|██▊ | 19946/70000 [7:02:42<17:39:06, 1.27s/step] Training: 28%|██▊ | 19947/70000 [7:02:44<18:06:18, 1.30s/step] Training: 28%|██▊ | 19948/70000 [7:02:45<17:40:42, 1.27s/step] Training: 28%|██▊ | 19949/70000 [7:02:46<18:03:07, 1.30s/step] Training: 28%|██▊ | 19950/70000 [7:02:47<17:36:16, 1.27s/step] Training: 29%|██▊ | 19951/70000 [7:02:49<17:16:25, 1.24s/step] Training: 29%|██▊ | 19952/70000 [7:02:50<17:37:16, 1.27s/step] Training: 29%|██▊ | 19953/70000 [7:02:51<17:17:13, 1.24s/step] Training: 29%|██▊ | 19954/70000 [7:02:52<17:13:34, 1.24s/step] Training: 29%|██▊ | 19955/70000 [7:02:54<17:39:08, 1.27s/step] Training: 29%|██▊ | 19956/70000 [7:02:55<17:18:29, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=49079 Training: 29%|██▊ | 19957/70000 [7:02:56<17:21:07, 1.25s/step] Training: 29%|██▊ | 19958/70000 [7:02:57<17:06:32, 1.23s/step] Training: 29%|██▊ | 19959/70000 [7:02:59<16:55:46, 1.22s/step] Training: 29%|██▊ | 19960/70000 [7:03:00<17:23:34, 1.25s/step] Training: 29%|██▊ | 19961/70000 [7:03:01<17:08:50, 1.23s/step] Training: 29%|██▊ | 19962/70000 [7:03:02<17:03:02, 1.23s/step] Training: 29%|██▊ | 19963/70000 [7:03:04<17:03:05, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=32793 Training: 29%|██▊ | 19964/70000 [7:03:05<17:32:58, 1.26s/step] Training: 29%|██▊ | 19965/70000 [7:03:06<17:48:06, 1.28s/step] Training: 29%|██▊ | 19966/70000 [7:03:07<17:24:58, 1.25s/step] Training: 29%|██▊ | 19967/70000 [7:03:09<17:09:12, 1.23s/step] Training: 29%|██▊ | 19968/70000 [7:03:10<17:31:48, 1.26s/step] Training: 29%|██▊ | 19969/70000 [7:03:11<17:13:50, 1.24s/step] Training: 29%|██▊ | 19970/70000 [7:03:12<17:35:41, 1.27s/step] Training: 29%|██▊ | 19971/70000 [7:03:14<17:29:32, 1.26s/step] Training: 29%|██▊ | 19972/70000 [7:03:15<17:29:32, 1.26s/step] Training: 29%|██▊ | 19973/70000 [7:03:16<17:46:10, 1.28s/step] Training: 29%|██▊ | 19974/70000 [7:03:17<17:23:59, 1.25s/step] Training: 29%|██▊ | 19975/70000 [7:03:19<17:08:08, 1.23s/step] Training: 29%|██▊ | 19976/70000 [7:03:20<17:34:12, 1.26s/step] Training: 29%|██▊ | 19977/70000 [7:03:21<17:15:07, 1.24s/step] Training: 29%|██▊ | 19978/70000 [7:03:22<17:36:55, 1.27s/step] Training: 29%|██▊ | 19979/70000 [7:03:24<17:18:25, 1.25s/step] Training: 29%|██▊ | 19980/70000 [7:03:25<17:36:31, 1.27s/step] Training: 29%|██▊ | 19981/70000 [7:03:26<18:25:17, 1.33s/step] Training: 29%|██▊ | 19982/70000 [7:03:28<18:23:46, 1.32s/step] Training: 29%|██▊ | 19983/70000 [7:03:29<17:49:12, 1.28s/step] Training: 29%|██▊ | 19984/70000 [7:03:30<18:01:46, 1.30s/step] Training: 29%|██▊ | 19985/70000 [7:03:31<17:35:03, 1.27s/step] Training: 29%|██▊ | 19986/70000 [7:03:33<17:25:58, 1.25s/step] Training: 29%|██▊ | 19987/70000 [7:03:34<17:44:48, 1.28s/step] Training: 29%|██▊ | 19988/70000 [7:03:35<18:06:23, 1.30s/step] Training: 29%|██▊ | 19989/70000 [7:03:37<17:50:04, 1.28s/step] Training: 29%|██▊ | 19990/70000 [7:03:38<17:59:18, 1.29s/step] Training: 29%|██▊ | 19991/70000 [7:03:39<17:32:42, 1.26s/step] Training: 29%|██▊ | 19992/70000 [7:03:40<17:49:14, 1.28s/step] Training: 29%|██▊ | 19993/70000 [7:03:42<17:25:18, 1.25s/step] Training: 29%|██▊ | 19994/70000 [7:03:43<17:14:29, 1.24s/step] Training: 29%|██▊ | 19995/70000 [7:03:44<17:06:22, 1.23s/step] Training: 29%|██▊ | 19996/70000 [7:03:45<16:55:19, 1.22s/step] Training: 29%|██▊ | 19997/70000 [7:03:47<17:54:24, 1.29s/step] Training: 29%|██▊ | 19998/70000 [7:03:48<17:29:08, 1.26s/step] Training: 29%|██▊ | 19999/70000 [7:03:49<17:11:49, 1.24s/step] Training: 29%|██▊ | 20000/70000 [7:03:50<17:35:56, 1.27s/step]INFO 2026-03-13 03:13:43 ot_train.py:435 step:20K smpl:1M ep:4K epch:16.95 loss:0.077 grdn:9.242 lr:2.1e-05 updt_s:1.241 data_s:0.019 INFO 2026-03-13 03:13:43 ot_train.py:455 Checkpoint policy after step 20000 [Avatar] Pushing checkpoint (step 20000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008... Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...12-2008/model.safetensors: 0%| | 828kB / 5.85GB  ...12-2008/model.safetensors: 0%| | 828kB / 5.85GB  Processing Files (0 / 1) : 0%| | 828kB / 5.85GB, ???B/s ...12-2008/model.safetensors: 0%| | 836kB / 5.85GB  Processing Files (0 / 1) : 0%| | 836kB / 5.85GB, 42.3kB/s ...12-2008/model.safetensors: 1%| | 67.4MB / 5.85GB  Processing Files (0 / 1) : 1%| | 67.4MB / 5.85GB, 166MB/s New Data Upload : 50%|████▉ | 66.5MB / 134MB, 166MB/s  ...12-2008/model.safetensors: 1%| | 67.4MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 67.4MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 67.4MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 67.4MB / 5.85GB  ...12-2008/model.safetensors: 2%|▏ | 135MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 135MB / 5.85GB, 95.6MB/s New Data Upload : 66%|██████▋ | 134MB / 201MB, 95.5MB/s  ...12-2008/model.safetensors: 2%|▏ | 135MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 135MB / 5.85GB, 83.6MB/s ...12-2008/model.safetensors: 3%|▎ | 202MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 202MB / 5.85GB, 112MB/s New Data Upload : 75%|███████▍ | 201MB / 268MB, 111MB/s  ...12-2008/model.safetensors: 3%|▎ | 202MB / 5.85GB  ...12-2008/model.safetensors: 4%|▍ | 246MB / 5.85GB  Processing Files (0 / 1) : 4%|▍ | 246MB / 5.85GB, 111MB/s New Data Upload : 91%|█████████ | 245MB / 268MB, 111MB/s  ...12-2008/model.safetensors: 5%|▍ | 269MB / 5.85GB  Processing Files (0 / 1) : 5%|▍ | 269MB / 5.85GB, 112MB/s New Data Upload : 80%|███████▉ | 268MB / 335MB, 112MB/s  ...12-2008/model.safetensors: 6%|▌ | 336MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 336MB / 5.85GB, 129MB/s New Data Upload : 100%|█████████▉| 335MB / 335MB, 129MB/s  ...12-2008/model.safetensors: 6%|▌ | 336MB / 5.85GB  ...12-2008/model.safetensors: 7%|▋ | 403MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 403MB / 5.85GB, 134MB/s New Data Upload : 86%|████████▌ | 402MB / 469MB, 134MB/s  ...12-2008/model.safetensors: 7%|▋ | 436MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 436MB / 5.85GB, 136MB/s New Data Upload : 93%|█████████▎| 435MB / 469MB, 136MB/s  ...12-2008/model.safetensors: 8%|▊ | 470MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 470MB / 5.85GB, 138MB/s New Data Upload : 87%|████████▋ | 469MB / 537MB, 138MB/s  ...12-2008/model.safetensors: 9%|▉ | 523MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 523MB / 5.85GB, 145MB/s New Data Upload : 97%|█████████▋| 522MB / 537MB, 145MB/s  ...12-2008/model.safetensors: 9%|▉ | 537MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 537MB / 5.85GB, 141MB/s New Data Upload : 89%|████████▊ | 536MB / 604MB, 141MB/s  ...12-2008/model.safetensors: 10%|█ | 603MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 603MB / 5.85GB, 151MB/s New Data Upload : 90%|████████▉ | 602MB / 671MB, 151MB/s  ...12-2008/model.safetensors: 10%|█ | 604MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 604MB / 5.85GB, 144MB/s New Data Upload : 90%|████████▉ | 603MB / 671MB, 143MB/s  ...12-2008/model.safetensors: 11%|█▏ | 670MB / 5.85GB  Processing Files (0 / 1) : 11%|█▏ | 670MB / 5.85GB, 152MB/s New Data Upload : 91%|█████████ | 669MB / 738MB, 152MB/s  ...12-2008/model.safetensors: 12%|█▏ | 694MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 694MB / 5.85GB, 151MB/s New Data Upload : 94%|█████████▍| 692MB / 738MB, 151MB/s  ...12-2008/model.safetensors: 13%|█▎ | 738MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 738MB / 5.85GB, 154MB/s New Data Upload : 92%|█████████▏| 737MB / 805MB, 153MB/s  ...12-2008/model.safetensors: 14%|█▍ | 804MB / 5.85GB  Processing Files (0 / 1) : 14%|█▍ | 804MB / 5.85GB, 161MB/s New Data Upload : 100%|█████████▉| 803MB / 805MB, 161MB/s  ...12-2008/model.safetensors: 14%|█▍ | 805MB / 5.85GB  Processing Files (0 / 1) : 14%|█▍ | 805MB / 5.85GB, 154MB/s New Data Upload : 92%|█████████▏| 803MB / 872MB, 154MB/s  ...12-2008/model.safetensors: 15%|█▍ | 871MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 871MB / 5.85GB, 161MB/s New Data Upload : 93%|█████████▎| 870MB / 939MB, 161MB/s  ...12-2008/model.safetensors: 15%|█▍ | 872MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 872MB / 5.85GB, 156MB/s New Data Upload : 93%|█████████▎| 871MB / 939MB, 155MB/s  ...12-2008/model.safetensors: 16%|█▌ | 938MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 938MB / 5.85GB, 162MB/s New Data Upload : 93%|█████████▎| 937MB / 1.01GB, 162MB/s  ...12-2008/model.safetensors: 17%|█▋ | 1.01GB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 1.01GB / 5.85GB, 167MB/s New Data Upload : 100%|█████████▉| 1.00GB / 1.01GB, 167MB/s  ...12-2008/model.safetensors: 17%|█▋ | 1.01GB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 1.01GB / 5.85GB, 162MB/s New Data Upload : 94%|█████████▎| 1.01GB / 1.07GB, 162MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.07GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.07GB / 5.85GB, 168MB/s New Data Upload : 100%|█████████▉| 1.07GB / 1.07GB, 168MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.07GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.07GB / 5.85GB, 163MB/s New Data Upload : 94%|█████████▍| 1.07GB / 1.14GB, 163MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.14GB / 5.85GB  Processing Files (0 / 1) : 20%|█▉ | 1.14GB / 5.85GB, 168MB/s New Data Upload : 100%|█████████▉| 1.14GB / 1.14GB, 168MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.14GB / 5.85GB  ...12-2008/model.safetensors: 21%|██ | 1.21GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.21GB / 5.85GB, 168MB/s New Data Upload : 95%|█████████▍| 1.21GB / 1.27GB, 168MB/s  ...12-2008/model.safetensors: 21%|██ | 1.22GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.22GB / 5.85GB, 165MB/s New Data Upload : 96%|█████████▌| 1.22GB / 1.27GB, 165MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.27GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.27GB / 5.85GB, 168MB/s New Data Upload : 95%|█████████▍| 1.27GB / 1.34GB, 168MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.34GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.34GB / 5.85GB, 172MB/s New Data Upload : 100%|█████████▉| 1.34GB / 1.34GB, 172MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.34GB / 5.85GB  ...12-2008/model.safetensors: 24%|██▍ | 1.41GB / 5.85GB  Processing Files (0 / 1) : 24%|██▍ | 1.41GB / 5.85GB, 172MB/s New Data Upload : 95%|█████████▌| 1.41GB / 1.48GB, 172MB/s  ...12-2008/model.safetensors: 24%|██▍ | 1.41GB / 5.85GB  Processing Files (0 / 1) : 24%|██▍ | 1.41GB / 5.85GB, 168MB/s New Data Upload : 95%|█████████▌| 1.41GB / 1.48GB, 168MB/s  ...12-2008/model.safetensors: 25%|██▌ | 1.48GB / 5.85GB  Processing Files (0 / 1) : 25%|██▌ | 1.48GB / 5.85GB, 172MB/s New Data Upload : 96%|█████████▌| 1.47GB / 1.54GB, 172MB/s  ...12-2008/model.safetensors: 26%|██▌ | 1.50GB / 5.85GB  Processing Files (0 / 1) : 26%|██▌ | 1.50GB / 5.85GB, 170MB/s New Data Upload : 97%|█████████▋| 1.49GB / 1.54GB, 170MB/s  ...12-2008/model.safetensors: 26%|██▋ | 1.54GB / 5.85GB  Processing Files (0 / 1) : 26%|██▋ | 1.54GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 171MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.61GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.61GB / 5.85GB, 175MB/s New Data Upload : 100%|█████████▉| 1.61GB / 1.61GB, 175MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.61GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.61GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.61GB / 1.68GB, 171MB/s  ...12-2008/model.safetensors: 29%|██▊ | 1.68GB / 5.85GB  Processing Files (0 / 1) : 29%|██▊ | 1.68GB / 5.85GB, 175MB/s New Data Upload : 96%|█████████▌| 1.68GB / 1.74GB, 175MB/s  ...12-2008/model.safetensors: 29%|██▊ | 1.68GB / 5.85GB  Processing Files (0 / 1) : 29%|██▊ | 1.68GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.68GB / 1.74GB, 171MB/s  ...12-2008/model.safetensors: 30%|██▉ | 1.75GB / 5.85GB  Processing Files (0 / 1) : 30%|██▉ | 1.75GB / 5.85GB, 174MB/s New Data Upload : 96%|█████████▋| 1.74GB / 1.81GB, 174MB/s  ...12-2008/model.safetensors: 31%|███ | 1.79GB / 5.85GB  Processing Files (0 / 1) : 31%|███ | 1.79GB / 5.85GB, 176MB/s New Data Upload : 99%|█████████▉| 1.79GB / 1.81GB, 176MB/s  ...12-2008/model.safetensors: 31%|███ | 1.81GB / 5.85GB  Processing Files (0 / 1) : 31%|███ | 1.81GB / 5.85GB, 178MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 178MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.88GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.88GB / 5.85GB, 178MB/s New Data Upload : 100%|█████████▉| 1.88GB / 1.88GB, 178MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.88GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.88GB / 5.85GB, 178MB/s New Data Upload : 97%|█████████▋| 1.88GB / 1.95GB, 178MB/s  ...12-2008/model.safetensors: 33%|███▎ | 1.95GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.95GB / 5.85GB, 184MB/s New Data Upload : 97%|█████████▋| 1.94GB / 2.01GB, 184MB/s  ...12-2008/model.safetensors: 33%|███▎ | 1.96GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.96GB / 5.85GB, 185MB/s New Data Upload : 97%|█████████▋| 1.96GB / 2.01GB, 185MB/s  ...12-2008/model.safetensors: 34%|███▍ | 2.01GB / 5.85GB  Processing Files (0 / 1) : 34%|███▍ | 2.01GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.01GB / 2.08GB, 191MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.08GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.08GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 2.08GB / 2.08GB, 191MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.08GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.08GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 191MB/s  ...12-2008/model.safetensors: 37%|███▋ | 2.15GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.15GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.15GB / 2.21GB, 191MB/s  ...12-2008/model.safetensors: 37%|███▋ | 2.15GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.15GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.15GB / 2.21GB, 191MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.21GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.21GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.21GB / 2.28GB, 193MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.27GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.27GB / 5.85GB, 196MB/s New Data Upload : 100%|█████████▉| 2.27GB / 2.28GB, 196MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.28GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.28GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 191MB/s  ...12-2008/model.safetensors: 40%|████ | 2.35GB / 5.85GB  Processing Files (0 / 1) : 40%|████ | 2.35GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.35GB / 2.35GB, 197MB/s  ...12-2008/model.safetensors: 40%|████ | 2.35GB / 5.85GB  Processing Files (0 / 1) : 40%|████ | 2.35GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.35GB / 2.41GB, 191MB/s  ...12-2008/model.safetensors: 41%|████▏ | 2.41GB / 5.85GB  Processing Files (0 / 1) : 41%|████▏ | 2.41GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.41GB / 2.48GB, 194MB/s  ...12-2008/model.safetensors: 41%|████▏ | 2.42GB / 5.85GB  Processing Files (0 / 1) : 41%|████▏ | 2.42GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.42GB / 2.48GB, 191MB/s  ...12-2008/model.safetensors: 42%|████▏ | 2.48GB / 5.85GB  Processing Files (0 / 1) : 42%|████▏ | 2.48GB / 5.85GB, 192MB/s New Data Upload : 97%|█████████▋| 2.48GB / 2.55GB, 192MB/s  ...12-2008/model.safetensors: 44%|████▎ | 2.55GB / 5.85GB  Processing Files (0 / 1) : 44%|████▎ | 2.55GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.55GB / 2.55GB, 197MB/s  ...12-2008/model.safetensors: 44%|████▎ | 2.55GB / 5.85GB  ...12-2008/model.safetensors: 45%|████▍ | 2.62GB / 5.85GB  Processing Files (0 / 1) : 45%|████▍ | 2.62GB / 5.85GB, 197MB/s New Data Upload : 97%|█████████▋| 2.62GB / 2.68GB, 197MB/s  ...12-2008/model.safetensors: 45%|████▍ | 2.62GB / 5.85GB  ...12-2008/model.safetensors: 46%|████▌ | 2.68GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.68GB / 5.85GB, 195MB/s New Data Upload : 98%|█████████▊| 2.68GB / 2.75GB, 195MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.75GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.75GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.75GB / 2.75GB, 197MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.75GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.75GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.75GB / 2.82GB, 191MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.82GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.82GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.82GB / 2.82GB, 197MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.82GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.82GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.82GB / 2.88GB, 191MB/s  ...12-2008/model.safetensors: 49%|████▉ | 2.88GB / 5.85GB  Processing Files (0 / 1) : 49%|████▉ | 2.88GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 2.88GB / 2.95GB, 197MB/s  ...12-2008/model.safetensors: 49%|████▉ | 2.89GB / 5.85GB  Processing Files (0 / 1) : 49%|████▉ | 2.89GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.88GB / 2.95GB, 191MB/s  ...12-2008/model.safetensors: 50%|█████ | 2.95GB / 5.85GB  Processing Files (0 / 1) : 50%|█████ | 2.95GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.95GB / 3.02GB, 191MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.02GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.02GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.02GB / 3.02GB, 197MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.02GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.02GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.02GB / 3.09GB, 191MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.09GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.09GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.08GB / 3.15GB, 197MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.09GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.09GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.08GB / 3.15GB, 191MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.15GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▍ | 3.15GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.15GB / 3.22GB, 197MB/s  ...12-2008/model.safetensors: 55%|█████▍ | 3.20GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▍ | 3.20GB / 5.85GB, 196MB/s New Data Upload : 99%|█████████▉| 3.20GB / 3.22GB, 196MB/s  ...12-2008/model.safetensors: 55%|█████▌ | 3.22GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.22GB / 5.85GB, 196MB/s New Data Upload : 98%|█████████▊| 3.22GB / 3.29GB, 196MB/s  ...12-2008/model.safetensors: 56%|█████▌ | 3.29GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▌ | 3.29GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.29GB / 3.29GB, 197MB/s  ...12-2008/model.safetensors: 56%|█████▌ | 3.29GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▌ | 3.29GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.29GB / 3.35GB, 191MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.35GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.35GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.35GB / 3.42GB, 197MB/s  ...12-2008/model.safetensors: 58%|█████▊ | 3.38GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.38GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 3.38GB / 3.42GB, 193MB/s  ...12-2008/model.safetensors: 58%|█████▊ | 3.42GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.42GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.42GB / 3.49GB, 197MB/s  ...12-2008/model.safetensors: 60%|█████▉ | 3.49GB / 5.85GB  Processing Files (0 / 1) : 60%|█████▉ | 3.49GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.49GB / 3.49GB, 197MB/s  ...12-2008/model.safetensors: 60%|█████▉ | 3.49GB / 5.85GB  ...12-2008/model.safetensors: 61%|██████ | 3.56GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.56GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.55GB / 3.62GB, 197MB/s  ...12-2008/model.safetensors: 61%|██████ | 3.56GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.56GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.55GB / 3.62GB, 191MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.62GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.62GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.62GB / 3.69GB, 197MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.69GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.69GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.69GB / 3.69GB, 197MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.69GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.69GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.69GB / 3.76GB, 197MB/s  ...12-2008/model.safetensors: 64%|██████▍ | 3.76GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▍ | 3.76GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.75GB / 3.76GB, 197MB/s  ...12-2008/model.safetensors: 64%|██████▍ | 3.76GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▍ | 3.76GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 3.76GB / 3.82GB, 192MB/s  ...12-2008/model.safetensors: 65%|██████▌ | 3.82GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▌ | 3.82GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.82GB / 3.89GB, 197MB/s  ...12-2008/model.safetensors: 66%|██████▌ | 3.86GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▌ | 3.86GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 3.86GB / 3.89GB, 194MB/s  ...12-2008/model.safetensors: 67%|██████▋ | 3.89GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.89GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.89GB / 3.96GB, 197MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.96GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.96GB / 3.96GB, 197MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.96GB / 5.85GB, 196MB/s New Data Upload : 98%|█████████▊| 3.96GB / 4.02GB, 196MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.02GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.02GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 197MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.03GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.03GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▊| 4.03GB / 4.09GB, 192MB/s  ...12-2008/model.safetensors: 70%|██████▉ | 4.09GB / 5.85GB  Processing Files (0 / 1) : 70%|██████▉ | 4.09GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.09GB / 4.16GB, 197MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.16GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.16GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.16GB / 4.16GB, 197MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.16GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.16GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.23GB, 197MB/s  ...12-2008/model.safetensors: 72%|███████▏ | 4.23GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.23GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.22GB / 4.29GB, 197MB/s  ...12-2008/model.safetensors: 72%|███████▏ | 4.23GB / 5.85GB  ...12-2008/model.safetensors: 73%|███████▎ | 4.29GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.29GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 197MB/s  ...12-2008/model.safetensors: 74%|███████▍ | 4.32GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.32GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 4.32GB / 4.36GB, 194MB/s  ...12-2008/model.safetensors: 75%|███████▍ | 4.36GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▍ | 4.36GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.36GB / 4.43GB, 197MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.43GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.43GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.43GB / 4.43GB, 197MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.43GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.43GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.43GB / 4.49GB, 197MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.49GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.49GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.49GB / 4.56GB, 197MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.50GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.50GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.50GB / 4.56GB, 191MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.56GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.56GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.56GB / 4.63GB, 197MB/s  ...12-2008/model.safetensors: 79%|███████▉ | 4.63GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▉ | 4.63GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.63GB / 4.63GB, 197MB/s  ...12-2008/model.safetensors: 79%|███████▉ | 4.63GB / 5.85GB  ...12-2008/model.safetensors: 80%|████████ | 4.70GB / 5.85GB  Processing Files (0 / 1) : 80%|████████ | 4.70GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 197MB/s  ...12-2008/model.safetensors: 80%|████████ | 4.70GB / 5.85GB  Processing Files (0 / 1) : 80%|████████ | 4.70GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 191MB/s  ...12-2008/model.safetensors: 81%|████████▏ | 4.76GB / 5.85GB  Processing Files (0 / 1) : 81%|████████▏ | 4.76GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.76GB / 4.83GB, 197MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.83GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.83GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.83GB / 4.83GB, 197MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.83GB / 5.85GB  ...12-2008/model.safetensors: 84%|████████▎ | 4.90GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▎ | 4.90GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.90GB / 4.96GB, 197MB/s  ...12-2008/model.safetensors: 84%|████████▎ | 4.90GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▎ | 4.90GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.90GB / 4.96GB, 197MB/s  ...12-2008/model.safetensors: 85%|████████▍ | 4.96GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▍ | 4.96GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.96GB / 5.03GB, 197MB/s  ...12-2008/model.safetensors: 86%|████████▌ | 5.03GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▌ | 5.03GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.03GB / 5.03GB, 197MB/s  ...12-2008/model.safetensors: 86%|████████▌ | 5.03GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▌ | 5.03GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.03GB / 5.10GB, 197MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.10GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 197MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  ...12-2008/model.safetensors: 88%|████████▊ | 5.16GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.16GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.16GB / 5.23GB, 197MB/s  ...12-2008/model.safetensors: 89%|████████▉ | 5.20GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▉ | 5.20GB / 5.85GB, 196MB/s New Data Upload : 99%|█████████▉| 5.20GB / 5.23GB, 196MB/s  ...12-2008/model.safetensors: 89%|████████▉ | 5.23GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▉ | 5.23GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.23GB / 5.30GB, 197MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.30GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.30GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.30GB / 5.30GB, 197MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.30GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.30GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.30GB / 5.37GB, 197MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.37GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.37GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.36GB / 5.43GB, 197MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.38GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.38GB / 5.85GB, 196MB/s New Data Upload : 99%|█████████▉| 5.38GB / 5.43GB, 196MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.43GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.43GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.43GB / 5.50GB, 197MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.50GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.50GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.50GB / 5.50GB, 197MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.50GB / 5.85GB  ...12-2008/model.safetensors: 95%|█████████▌| 5.57GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▌| 5.57GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.56GB / 5.63GB, 197MB/s  ...12-2008/model.safetensors: 95%|█████████▌| 5.57GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▌| 5.57GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.57GB / 5.63GB, 197MB/s  ...12-2008/model.safetensors: 96%|█████████▋| 5.63GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▋| 5.63GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.63GB / 5.70GB, 197MB/s  ...12-2008/model.safetensors: 97%|█████████▋| 5.70GB / 5.85GB  Processing Files (0 / 1) : 97%|█████████▋| 5.70GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.70GB / 5.70GB, 197MB/s  ...12-2008/model.safetensors: 97%|█████████▋| 5.70GB / 5.85GB  ...12-2008/model.safetensors: 99%|█████████▊| 5.77GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▊| 5.77GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.77GB / 5.83GB, 197MB/s  ...12-2008/model.safetensors: 99%|█████████▊| 5.77GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▊| 5.77GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.77GB / 5.83GB, 197MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 5.85GB / 5.85GB, 198MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 195MB/s New Data Upload : 100%|█████████▉| 5.85GB / 5.85GB, 195MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 185MB/s New Data Upload : 100%|█████████▉| 5.85GB / 5.85GB, 185MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 172MB/s New Data Upload : 100%|██████████| 5.85GB / 5.85GB, 172MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 162MB/s New Data Upload : 100%|██████████| 5.85GB / 5.85GB, 162MB/s ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB INFO 2026-03-13 03:14:39 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 03:14:40 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 03:14:40 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. [Avatar] Pushed checkpoint (step 20000) OK [Avatar] Tagged as 'step-20000' Training: 29%|██▊ | 20001/70000 [7:04:50<260:57:42, 18.79s/step] Training: 29%|██▊ | 20002/70000 [7:04:51<188:14:13, 13.55s/step] Training: 29%|██▊ | 20003/70000 [7:04:53<137:18:32, 9.89s/step] Training: 29%|██▊ | 20004/70000 [7:04:54<101:03:32, 7.28s/step] Training: 29%|██▊ | 20005/70000 [7:04:55<76:47:52, 5.53s/step] Training: 29%|██▊ | 20006/70000 [7:04:57<58:44:13, 4.23s/step] Training: 29%|██▊ | 20007/70000 [7:04:58<46:01:12, 3.31s/step] Training: 29%|██▊ | 20008/70000 [7:04:59<37:45:01, 2.72s/step] Training: 29%|██▊ | 20009/70000 [7:05:00<31:22:51, 2.26s/step] Training: 29%|██▊ | 20010/70000 [7:05:02<27:30:50, 1.98s/step] Training: 29%|██▊ | 20011/70000 [7:05:03<24:17:19, 1.75s/step] Training: 29%|██▊ | 20012/70000 [7:05:04<21:56:36, 1.58s/step] Training: 29%|██▊ | 20013/70000 [7:05:05<21:06:27, 1.52s/step] Training: 29%|██▊ | 20014/70000 [7:05:07<19:44:20, 1.42s/step] Training: 29%|██▊ | 20015/70000 [7:05:08<18:46:34, 1.35s/step] Training: 29%|██▊ | 20016/70000 [7:05:09<18:40:28, 1.34s/step] Training: 29%|██▊ | 20017/70000 [7:05:10<18:00:55, 1.30s/step] Training: 29%|██▊ | 20018/70000 [7:05:12<17:45:51, 1.28s/step] Training: 29%|██▊ | 20019/70000 [7:05:13<17:23:02, 1.25s/step] Training: 29%|██▊ | 20020/70000 [7:05:14<17:38:06, 1.27s/step] Training: 29%|██▊ | 20021/70000 [7:05:15<17:40:34, 1.27s/step] Training: 29%|██▊ | 20022/70000 [7:05:17<17:17:05, 1.25s/step] Training: 29%|██▊ | 20023/70000 [7:05:18<17:01:42, 1.23s/step] Training: 29%|██▊ | 20024/70000 [7:05:19<17:26:55, 1.26s/step] Training: 29%|██▊ | 20025/70000 [7:05:20<17:09:13, 1.24s/step] Training: 29%|██▊ | 20026/70000 [7:05:21<17:05:00, 1.23s/step] Training: 29%|██▊ | 20027/70000 [7:05:23<16:55:29, 1.22s/step] Training: 29%|██▊ | 20028/70000 [7:05:24<17:17:00, 1.25s/step] Training: 29%|██▊ | 20029/70000 [7:05:25<17:36:44, 1.27s/step] Training: 29%|██▊ | 20030/70000 [7:05:27<17:53:16, 1.29s/step] Training: 29%|██▊ | 20031/70000 [7:05:28<17:26:08, 1.26s/step] Training: 29%|██▊ | 20032/70000 [7:05:29<17:43:39, 1.28s/step] Training: 29%|██▊ | 20033/70000 [7:05:30<17:21:48, 1.25s/step] Training: 29%|██▊ | 20034/70000 [7:05:32<17:42:47, 1.28s/step] Training: 29%|██▊ | 20035/70000 [7:05:33<17:22:35, 1.25s/step] Training: 29%|██▊ | 20036/70000 [7:05:34<17:08:48, 1.24s/step] Training: 29%|██▊ | 20037/70000 [7:05:35<17:34:53, 1.27s/step] Training: 29%|██▊ | 20038/70000 [7:05:37<17:43:37, 1.28s/step] Training: 29%|██▊ | 20039/70000 [7:05:38<17:19:59, 1.25s/step] Training: 29%|██▊ | 20040/70000 [7:05:39<17:41:28, 1.27s/step] Training: 29%|██▊ | 20041/70000 [7:05:40<17:19:55, 1.25s/step] Training: 29%|██▊ | 20042/70000 [7:05:42<17:43:03, 1.28s/step] Training: 29%|██▊ | 20043/70000 [7:05:43<17:22:12, 1.25s/step] Training: 29%|██▊ | 20044/70000 [7:05:44<17:45:03, 1.28s/step] Training: 29%|██▊ | 20045/70000 [7:05:46<18:10:46, 1.31s/step] Training: 29%|██▊ | 20046/70000 [7:05:47<18:20:02, 1.32s/step] Training: 29%|██▊ | 20047/70000 [7:05:48<17:44:07, 1.28s/step] Training: 29%|██▊ | 20048/70000 [7:05:49<17:58:27, 1.30s/step] Training: 29%|██▊ | 20049/70000 [7:05:51<17:31:57, 1.26s/step] Training: 29%|██▊ | 20050/70000 [7:05:52<17:22:57, 1.25s/step] Training: 29%|██▊ | 20051/70000 [7:05:53<17:08:08, 1.24s/step] Training: 29%|██▊ | 20052/70000 [7:05:54<17:04:02, 1.23s/step] Training: 29%|██▊ | 20053/70000 [7:05:56<17:10:52, 1.24s/step] Training: 29%|██▊ | 20054/70000 [7:05:57<17:43:31, 1.28s/step] Training: 29%|██▊ | 20055/70000 [7:05:58<17:18:36, 1.25s/step] Training: 29%|██▊ | 20056/70000 [7:05:59<17:38:18, 1.27s/step] Training: 29%|██▊ | 20057/70000 [7:06:01<17:18:11, 1.25s/step] Training: 29%|██▊ | 20058/70000 [7:06:02<17:10:50, 1.24s/step] Training: 29%|██▊ | 20059/70000 [7:06:03<16:58:49, 1.22s/step] Training: 29%|██▊ | 20060/70000 [7:06:05<21:23:21, 1.54s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 29%|██▊ | 20061/70000 [7:06:10<32:55:30, 2.37s/step] Training: 29%|██▊ | 20062/70000 [7:06:11<29:00:41, 2.09s/step] Training: 29%|██▊ | 20063/70000 [7:06:12<25:12:46, 1.82s/step] Training: 29%|██▊ | 20064/70000 [7:06:14<23:22:20, 1.68s/step] Training: 29%|██▊ | 20065/70000 [7:06:15<21:18:33, 1.54s/step] Training: 29%|██▊ | 20066/70000 [7:06:16<20:44:42, 1.50s/step] Training: 29%|██▊ | 20067/70000 [7:06:17<19:28:20, 1.40s/step] Training: 29%|██▊ | 20068/70000 [7:06:19<18:34:29, 1.34s/step] Training: 29%|██▊ | 20069/70000 [7:06:20<19:19:46, 1.39s/step] Training: 29%|██▊ | 20070/70000 [7:06:21<18:43:58, 1.35s/step] Training: 29%|██▊ | 20071/70000 [7:06:23<18:02:54, 1.30s/step] Training: 29%|██▊ | 20072/70000 [7:06:24<18:06:31, 1.31s/step] Training: 29%|██▊ | 20073/70000 [7:06:25<17:37:01, 1.27s/step] Training: 29%|██▊ | 20074/70000 [7:06:26<17:54:24, 1.29s/step] Training: 29%|██▊ | 20075/70000 [7:06:28<17:29:48, 1.26s/step] Training: 29%|██▊ | 20076/70000 [7:06:29<17:47:26, 1.28s/step] Training: 29%|██▊ | 20077/70000 [7:06:30<18:09:45, 1.31s/step] Training: 29%|██▊ | 20078/70000 [7:06:31<17:40:03, 1.27s/step] Training: 29%|██▊ | 20079/70000 [7:06:33<18:01:56, 1.30s/step] Training: 29%|██▊ | 20080/70000 [7:06:34<18:07:21, 1.31s/step] Training: 29%|██▊ | 20081/70000 [7:06:35<17:38:44, 1.27s/step] Training: 29%|██▊ | 20082/70000 [7:06:37<17:27:37, 1.26s/step] Training: 29%|██▊ | 20083/70000 [7:06:38<17:10:25, 1.24s/step] Training: 29%|██▊ | 20084/70000 [7:06:39<17:03:01, 1.23s/step] Training: 29%|██▊ | 20085/70000 [7:06:40<17:09:54, 1.24s/step] Training: 29%|██▊ | 20086/70000 [7:06:41<16:58:34, 1.22s/step] Training: 29%|██▊ | 20087/70000 [7:06:43<17:12:10, 1.24s/step] Training: 29%|██▊ | 20088/70000 [7:06:44<17:36:44, 1.27s/step] Training: 29%|██▊ | 20089/70000 [7:06:45<17:16:31, 1.25s/step] Training: 29%|██▊ | 20090/70000 [7:06:46<17:10:10, 1.24s/step] Training: 29%|██▊ | 20091/70000 [7:06:48<16:59:13, 1.23s/step] Training: 29%|██▊ | 20092/70000 [7:06:49<16:59:03, 1.23s/step] Training: 29%|██▊ | 20093/70000 [7:06:50<17:24:41, 1.26s/step] Training: 29%|██▊ | 20094/70000 [7:06:51<17:08:37, 1.24s/step] Training: 29%|██▊ | 20095/70000 [7:06:53<17:37:30, 1.27s/step] Training: 29%|██▊ | 20096/70000 [7:06:54<17:46:49, 1.28s/step] Training: 29%|██▊ | 20097/70000 [7:06:55<17:23:43, 1.25s/step] Training: 29%|██▊ | 20098/70000 [7:06:57<17:42:51, 1.28s/step] Training: 29%|██▊ | 20099/70000 [7:06:58<17:21:07, 1.25s/step] Training: 29%|██▊ | 20100/70000 [7:06:59<17:05:10, 1.23s/step]INFO 2026-03-13 03:16:51 ot_train.py:435 step:20K smpl:1M ep:4K epch:17.04 loss:0.081 grdn:7.895 lr:2.0e-05 updt_s:1.241 data_s:0.058 Training: 29%|██▊ | 20101/70000 [7:07:00<18:05:54, 1.31s/step] Training: 29%|██▊ | 20102/70000 [7:07:02<17:36:40, 1.27s/step] Training: 29%|██▊ | 20103/70000 [7:07:03<17:57:04, 1.30s/step] Training: 29%|██▊ | 20104/70000 [7:07:04<18:01:50, 1.30s/step] Training: 29%|██▊ | 20105/70000 [7:07:05<17:34:07, 1.27s/step] Training: 29%|██▊ | 20106/70000 [7:07:07<17:50:22, 1.29s/step] Training: 29%|██▊ | 20107/70000 [7:07:08<17:26:12, 1.26s/step] Training: 29%|██▊ | 20108/70000 [7:07:09<17:43:23, 1.28s/step] Training: 29%|██▊ | 20109/70000 [7:07:11<18:09:10, 1.31s/step] Training: 29%|██▊ | 20110/70000 [7:07:12<17:39:10, 1.27s/step] Training: 29%|██▊ | 20111/70000 [7:07:13<17:18:20, 1.25s/step] Training: 29%|██▊ | 20112/70000 [7:07:15<18:08:43, 1.31s/step] Training: 29%|██▊ | 20113/70000 [7:07:16<18:11:34, 1.31s/step] Training: 29%|██▊ | 20114/70000 [7:07:17<17:53:27, 1.29s/step] Training: 29%|██▊ | 20115/70000 [7:07:18<17:27:23, 1.26s/step] Training: 29%|██▊ | 20116/70000 [7:07:20<17:13:16, 1.24s/step] Training: 29%|██▊ | 20117/70000 [7:07:21<17:08:50, 1.24s/step] Training: 29%|██▊ | 20118/70000 [7:07:22<16:56:05, 1.22s/step] Training: 29%|██▊ | 20119/70000 [7:07:23<16:52:34, 1.22s/step] Training: 29%|██▊ | 20120/70000 [7:07:25<17:45:23, 1.28s/step] Training: 29%|██▊ | 20121/70000 [7:07:26<17:53:07, 1.29s/step] Training: 29%|██▊ | 20122/70000 [7:07:27<17:30:26, 1.26s/step] Training: 29%|██▊ | 20123/70000 [7:07:28<17:11:47, 1.24s/step] Training: 29%|██▊ | 20124/70000 [7:07:29<17:10:35, 1.24s/step] Training: 29%|██▉ | 20125/70000 [7:07:31<17:34:38, 1.27s/step] Training: 29%|██▉ | 20126/70000 [7:07:32<17:16:00, 1.25s/step] Training: 29%|██▉ | 20127/70000 [7:07:33<17:01:44, 1.23s/step] Training: 29%|██▉ | 20128/70000 [7:07:35<17:30:20, 1.26s/step] Training: 29%|██▉ | 20129/70000 [7:07:36<18:33:01, 1.34s/step] Training: 29%|██▉ | 20130/70000 [7:07:37<18:36:00, 1.34s/step] Training: 29%|██▉ | 20131/70000 [7:07:39<17:57:58, 1.30s/step] Training: 29%|██▉ | 20132/70000 [7:07:40<17:30:36, 1.26s/step] Training: 29%|██▉ | 20133/70000 [7:07:41<18:24:10, 1.33s/step] Training: 29%|██▉ | 20134/70000 [7:07:42<17:50:09, 1.29s/step] Training: 29%|██▉ | 20135/70000 [7:07:44<17:25:29, 1.26s/step] Training: 29%|██▉ | 20136/70000 [7:07:45<17:51:12, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=48084 Training: 29%|██▉ | 20137/70000 [7:07:46<17:24:41, 1.26s/step] Training: 29%|██▉ | 20138/70000 [7:07:48<17:41:43, 1.28s/step] Training: 29%|██▉ | 20139/70000 [7:07:49<17:19:41, 1.25s/step] Training: 29%|██▉ | 20140/70000 [7:07:50<17:04:28, 1.23s/step] Training: 29%|██▉ | 20141/70000 [7:07:51<17:06:04, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=47153 Training: 29%|██▉ | 20142/70000 [7:07:52<16:53:42, 1.22s/step] Training: 29%|██▉ | 20143/70000 [7:07:54<16:46:33, 1.21s/step] Training: 29%|██▉ | 20144/70000 [7:07:55<17:15:55, 1.25s/step] Training: 29%|██▉ | 20145/70000 [7:07:56<17:01:38, 1.23s/step] Training: 29%|██▉ | 20146/70000 [7:07:57<17:00:39, 1.23s/step] Training: 29%|██▉ | 20147/70000 [7:07:58<16:51:58, 1.22s/step] Training: 29%|██▉ | 20148/70000 [7:08:00<16:54:41, 1.22s/step] Training: 29%|██▉ | 20149/70000 [7:08:01<17:01:57, 1.23s/step] Training: 29%|██▉ | 20150/70000 [7:08:02<16:52:03, 1.22s/step] Training: 29%|██▉ | 20151/70000 [7:08:03<16:44:13, 1.21s/step] Training: 29%|██▉ | 20152/70000 [7:08:05<17:21:49, 1.25s/step] Training: 29%|██▉ | 20153/70000 [7:08:06<17:42:56, 1.28s/step] Training: 29%|██▉ | 20154/70000 [7:08:07<17:26:47, 1.26s/step] Training: 29%|██▉ | 20155/70000 [7:08:08<17:09:55, 1.24s/step] Training: 29%|██▉ | 20156/70000 [7:08:10<17:10:00, 1.24s/step] Training: 29%|██▉ | 20157/70000 [7:08:11<17:35:34, 1.27s/step] Training: 29%|██▉ | 20158/70000 [7:08:12<17:16:06, 1.25s/step] Training: 29%|██▉ | 20159/70000 [7:08:13<17:01:33, 1.23s/step] Training: 29%|██▉ | 20160/70000 [7:08:15<17:25:34, 1.26s/step] Training: 29%|██▉ | 20161/70000 [7:08:16<17:41:04, 1.28s/step] Training: 29%|██▉ | 20162/70000 [7:08:17<17:52:53, 1.29s/step] Training: 29%|██▉ | 20163/70000 [7:08:19<17:28:26, 1.26s/step] Training: 29%|██▉ | 20164/70000 [7:08:20<17:11:17, 1.24s/step] Training: 29%|██▉ | 20165/70000 [7:08:21<18:06:49, 1.31s/step] Training: 29%|██▉ | 20166/70000 [7:08:22<17:36:53, 1.27s/step] Training: 29%|██▉ | 20167/70000 [7:08:24<17:16:26, 1.25s/step] Training: 29%|██▉ | 20168/70000 [7:08:25<17:38:00, 1.27s/step] Training: 29%|██▉ | 20169/70000 [7:08:26<18:00:09, 1.30s/step] Training: 29%|██▉ | 20170/70000 [7:08:28<18:02:57, 1.30s/step] Training: 29%|██▉ | 20171/70000 [7:08:29<17:35:18, 1.27s/step] Training: 29%|██▉ | 20172/70000 [7:08:30<17:15:02, 1.25s/step] Training: 29%|██▉ | 20173/70000 [7:08:31<17:48:21, 1.29s/step] Training: 29%|██▉ | 20174/70000 [7:08:33<17:24:29, 1.26s/step] Training: 29%|██▉ | 20175/70000 [7:08:34<17:07:24, 1.24s/step] Training: 29%|██▉ | 20176/70000 [7:08:35<17:32:41, 1.27s/step] Training: 29%|██▉ | 20177/70000 [7:08:36<17:13:33, 1.24s/step] Training: 29%|██▉ | 20178/70000 [7:08:38<17:36:45, 1.27s/step] Training: 29%|██▉ | 20179/70000 [7:08:39<17:14:28, 1.25s/step] Training: 29%|██▉ | 20180/70000 [7:08:40<17:09:25, 1.24s/step] Training: 29%|██▉ | 20181/70000 [7:08:41<17:12:29, 1.24s/step] Training: 29%|██▉ | 20182/70000 [7:08:42<16:58:29, 1.23s/step] Training: 29%|██▉ | 20183/70000 [7:08:44<16:49:43, 1.22s/step] Training: 29%|██▉ | 20184/70000 [7:08:45<17:28:13, 1.26s/step] Training: 29%|██▉ | 20185/70000 [7:08:46<17:09:50, 1.24s/step] Training: 29%|██▉ | 20186/70000 [7:08:48<17:36:58, 1.27s/step] Training: 29%|██▉ | 20187/70000 [7:08:49<17:13:36, 1.24s/step] Training: 29%|██▉ | 20188/70000 [7:08:50<17:33:28, 1.27s/step] Training: 29%|██▉ | 20189/70000 [7:08:51<17:48:33, 1.29s/step] Training: 29%|██▉ | 20190/70000 [7:08:53<17:25:24, 1.26s/step] Training: 29%|██▉ | 20191/70000 [7:08:54<17:08:09, 1.24s/step] Training: 29%|██▉ | 20192/70000 [7:08:55<17:29:36, 1.26s/step] Training: 29%|██▉ | 20193/70000 [7:08:56<17:10:49, 1.24s/step] Training: 29%|██▉ | 20194/70000 [7:08:58<17:31:32, 1.27s/step] Training: 29%|██▉ | 20195/70000 [7:08:59<17:12:19, 1.24s/step] Training: 29%|██▉ | 20196/70000 [7:09:00<17:05:54, 1.24s/step] Training: 29%|██▉ | 20197/70000 [7:09:01<17:30:26, 1.27s/step] Training: 29%|██▉ | 20198/70000 [7:09:03<17:11:39, 1.24s/step] Training: 29%|██▉ | 20199/70000 [7:09:04<16:58:31, 1.23s/step] Training: 29%|██▉ | 20200/70000 [7:09:05<16:56:27, 1.22s/step]INFO 2026-03-13 03:18:57 ot_train.py:435 step:20K smpl:1M ep:4K epch:17.12 loss:0.068 grdn:7.479 lr:2.0e-05 updt_s:1.239 data_s:0.019 Training: 29%|██▉ | 20201/70000 [7:09:06<17:16:33, 1.25s/step] Training: 29%|██▉ | 20202/70000 [7:09:08<17:44:13, 1.28s/step] Training: 29%|██▉ | 20203/70000 [7:09:09<17:21:26, 1.25s/step] Training: 29%|██▉ | 20204/70000 [7:09:10<17:42:27, 1.28s/step] Training: 29%|██▉ | 20205/70000 [7:09:12<18:07:57, 1.31s/step] Training: 29%|██▉ | 20206/70000 [7:09:13<17:37:54, 1.27s/step] Training: 29%|██▉ | 20207/70000 [7:09:14<17:15:57, 1.25s/step] Training: 29%|██▉ | 20208/70000 [7:09:15<17:37:08, 1.27s/step] Training: 29%|██▉ | 20209/70000 [7:09:16<17:15:32, 1.25s/step] Training: 29%|██▉ | 20210/70000 [7:09:18<17:31:02, 1.27s/step] Training: 29%|██▉ | 20211/70000 [7:09:19<17:09:44, 1.24s/step] Training: 29%|██▉ | 20212/70000 [7:09:20<17:31:11, 1.27s/step] Training: 29%|██▉ | 20213/70000 [7:09:22<17:30:06, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=47153 Training: 29%|██▉ | 20214/70000 [7:09:23<17:10:37, 1.24s/step] Training: 29%|██▉ | 20215/70000 [7:09:24<16:57:18, 1.23s/step] Training: 29%|██▉ | 20216/70000 [7:09:25<17:30:38, 1.27s/step] Training: 29%|██▉ | 20217/70000 [7:09:26<17:11:11, 1.24s/step] Training: 29%|██▉ | 20218/70000 [7:09:28<17:05:53, 1.24s/step] Training: 29%|██▉ | 20219/70000 [7:09:29<17:34:08, 1.27s/step] Training: 29%|██▉ | 20220/70000 [7:09:30<17:44:11, 1.28s/step] Training: 29%|██▉ | 20221/70000 [7:09:32<17:58:10, 1.30s/step] Training: 29%|██▉ | 20222/70000 [7:09:33<17:30:59, 1.27s/step] Training: 29%|██▉ | 20223/70000 [7:09:34<17:11:23, 1.24s/step] Training: 29%|██▉ | 20224/70000 [7:09:35<17:31:57, 1.27s/step] Training: 29%|██▉ | 20225/70000 [7:09:37<17:12:02, 1.24s/step] Training: 29%|██▉ | 20226/70000 [7:09:38<17:35:00, 1.27s/step] Training: 29%|██▉ | 20227/70000 [7:09:39<17:31:02, 1.27s/step] Training: 29%|██▉ | 20228/70000 [7:09:40<17:15:44, 1.25s/step] Training: 29%|██▉ | 20229/70000 [7:09:42<17:35:32, 1.27s/step] Training: 29%|██▉ | 20230/70000 [7:09:43<17:14:30, 1.25s/step] Training: 29%|██▉ | 20231/70000 [7:09:44<17:02:17, 1.23s/step] Training: 29%|██▉ | 20232/70000 [7:09:45<16:59:46, 1.23s/step] Training: 29%|██▉ | 20233/70000 [7:09:47<17:13:06, 1.25s/step] Training: 29%|██▉ | 20234/70000 [7:09:48<17:33:04, 1.27s/step] Training: 29%|██▉ | 20235/70000 [7:09:49<17:13:00, 1.25s/step] Training: 29%|██▉ | 20236/70000 [7:09:51<18:02:09, 1.30s/step] Training: 29%|██▉ | 20237/70000 [7:09:52<18:18:40, 1.32s/step] Training: 29%|██▉ | 20238/70000 [7:09:53<17:45:09, 1.28s/step] Training: 29%|██▉ | 20239/70000 [7:09:54<17:21:43, 1.26s/step] Training: 29%|██▉ | 20240/70000 [7:09:56<17:40:55, 1.28s/step] Training: 29%|██▉ | 20241/70000 [7:09:57<17:19:23, 1.25s/step] Training: 29%|██▉ | 20242/70000 [7:09:58<17:12:39, 1.25s/step] Training: 29%|██▉ | 20243/70000 [7:09:59<17:47:19, 1.29s/step] Training: 29%|██▉ | 20244/70000 [7:10:01<17:57:28, 1.30s/step] Training: 29%|██▉ | 20245/70000 [7:10:02<17:46:33, 1.29s/step] Training: 29%|██▉ | 20246/70000 [7:10:03<17:22:16, 1.26s/step] Training: 29%|██▉ | 20247/70000 [7:10:04<17:06:34, 1.24s/step] Training: 29%|██▉ | 20248/70000 [7:10:06<17:32:50, 1.27s/step] Training: 29%|██▉ | 20249/70000 [7:10:07<17:13:04, 1.25s/step] Training: 29%|██▉ | 20250/70000 [7:10:08<17:04:12, 1.24s/step] Training: 29%|██▉ | 20251/70000 [7:10:09<16:53:32, 1.22s/step] Training: 29%|██▉ | 20252/70000 [7:10:11<17:50:30, 1.29s/step] Training: 29%|██▉ | 20253/70000 [7:10:12<18:05:46, 1.31s/step] Training: 29%|██▉ | 20254/70000 [7:10:13<17:37:32, 1.28s/step] Training: 29%|██▉ | 20255/70000 [7:10:15<17:17:23, 1.25s/step] Training: 29%|██▉ | 20256/70000 [7:10:16<17:19:26, 1.25s/step] Training: 29%|██▉ | 20257/70000 [7:10:17<17:04:31, 1.24s/step] Training: 29%|██▉ | 20258/70000 [7:10:18<17:28:27, 1.26s/step] Training: 29%|██▉ | 20259/70000 [7:10:19<17:10:20, 1.24s/step] Training: 29%|██▉ | 20260/70000 [7:10:21<17:36:24, 1.27s/step] Training: 29%|██▉ | 20261/70000 [7:10:22<17:47:56, 1.29s/step] Training: 29%|██▉ | 20262/70000 [7:10:23<17:24:16, 1.26s/step] Training: 29%|██▉ | 20263/70000 [7:10:25<17:06:49, 1.24s/step] Training: 29%|██▉ | 20264/70000 [7:10:26<17:04:02, 1.24s/step] Training: 29%|██▉ | 20265/70000 [7:10:27<17:17:43, 1.25s/step] Training: 29%|██▉ | 20266/70000 [7:10:28<17:04:23, 1.24s/step] Training: 29%|██▉ | 20267/70000 [7:10:30<17:27:28, 1.26s/step] Training: 29%|██▉ | 20268/70000 [7:10:31<17:46:41, 1.29s/step] Training: 29%|██▉ | 20269/70000 [7:10:32<18:08:32, 1.31s/step] Training: 29%|██▉ | 20270/70000 [7:10:34<17:39:49, 1.28s/step] Training: 29%|██▉ | 20271/70000 [7:10:35<17:17:21, 1.25s/step] Training: 29%|██▉ | 20272/70000 [7:10:36<17:34:23, 1.27s/step] Training: 29%|██▉ | 20273/70000 [7:10:37<17:13:43, 1.25s/step] Training: 29%|██▉ | 20274/70000 [7:10:38<16:59:38, 1.23s/step] Training: 29%|██▉ | 20275/70000 [7:10:40<17:19:14, 1.25s/step] Training: 29%|██▉ | 20276/70000 [7:10:41<17:53:18, 1.30s/step] Training: 29%|██▉ | 20277/70000 [7:10:42<17:44:39, 1.28s/step] Training: 29%|██▉ | 20278/70000 [7:10:44<17:22:32, 1.26s/step] Training: 29%|██▉ | 20279/70000 [7:10:45<17:05:22, 1.24s/step] Training: 29%|██▉ | 20280/70000 [7:10:46<17:52:57, 1.29s/step] Training: 29%|██▉ | 20281/70000 [7:10:47<17:26:01, 1.26s/step] Training: 29%|██▉ | 20282/70000 [7:10:49<17:07:26, 1.24s/step] Training: 29%|██▉ | 20283/70000 [7:10:50<16:54:59, 1.22s/step] Training: 29%|██▉ | 20284/70000 [7:10:51<17:20:00, 1.26s/step] Training: 29%|██▉ | 20285/70000 [7:10:52<17:42:55, 1.28s/step] Training: 29%|██▉ | 20286/70000 [7:10:54<17:21:28, 1.26s/step] Training: 29%|██▉ | 20287/70000 [7:10:55<17:04:31, 1.24s/step] Training: 29%|██▉ | 20288/70000 [7:10:56<17:37:45, 1.28s/step] Training: 29%|██▉ | 20289/70000 [7:10:57<17:16:59, 1.25s/step] Training: 29%|██▉ | 20290/70000 [7:10:59<17:01:09, 1.23s/step] Training: 29%|██▉ | 20291/70000 [7:11:00<17:20:24, 1.26s/step] Training: 29%|██▉ | 20292/70000 [7:11:01<17:07:55, 1.24s/step] Training: 29%|██▉ | 20293/70000 [7:11:03<17:58:56, 1.30s/step] Training: 29%|██▉ | 20294/70000 [7:11:04<17:30:45, 1.27s/step] Training: 29%|██▉ | 20295/70000 [7:11:05<17:11:07, 1.24s/step] Training: 29%|██▉ | 20296/70000 [7:11:06<17:06:20, 1.24s/step] Training: 29%|██▉ | 20297/70000 [7:11:07<16:54:00, 1.22s/step] Training: 29%|██▉ | 20298/70000 [7:11:08<16:45:30, 1.21s/step] Training: 29%|██▉ | 20299/70000 [7:11:10<17:15:36, 1.25s/step] Training: 29%|██▉ | 20300/70000 [7:11:11<17:35:56, 1.27s/step]INFO 2026-03-13 03:21:03 ot_train.py:435 step:20K smpl:1M ep:4K epch:17.21 loss:0.066 grdn:8.010 lr:2.0e-05 updt_s:1.241 data_s:0.019 Training: 29%|██▉ | 20301/70000 [7:11:13<18:07:06, 1.31s/step] Training: 29%|██▉ | 20302/70000 [7:11:14<17:38:24, 1.28s/step] Training: 29%|██▉ | 20303/70000 [7:11:15<17:16:40, 1.25s/step] Training: 29%|██▉ | 20304/70000 [7:11:16<17:36:25, 1.28s/step] Training: 29%|██▉ | 20305/70000 [7:11:17<17:15:52, 1.25s/step] Training: 29%|██▉ | 20306/70000 [7:11:19<17:01:11, 1.23s/step] Training: 29%|██▉ | 20307/70000 [7:11:20<16:55:58, 1.23s/step] Training: 29%|██▉ | 20308/70000 [7:11:21<17:21:26, 1.26s/step] Training: 29%|██▉ | 20309/70000 [7:11:22<17:26:15, 1.26s/step] Training: 29%|██▉ | 20310/70000 [7:11:24<17:43:36, 1.28s/step] Training: 29%|██▉ | 20311/70000 [7:11:25<17:17:29, 1.25s/step] Training: 29%|██▉ | 20312/70000 [7:11:26<17:37:28, 1.28s/step] Training: 29%|██▉ | 20313/70000 [7:11:28<17:15:48, 1.25s/step] Training: 29%|██▉ | 20314/70000 [7:11:29<17:00:34, 1.23s/step] Training: 29%|██▉ | 20315/70000 [7:11:30<17:28:29, 1.27s/step] Training: 29%|██▉ | 20316/70000 [7:11:31<17:47:28, 1.29s/step] Training: 29%|██▉ | 20317/70000 [7:11:33<18:04:16, 1.31s/step] Training: 29%|██▉ | 20318/70000 [7:11:34<17:31:22, 1.27s/step] Training: 29%|██▉ | 20319/70000 [7:11:35<17:12:22, 1.25s/step] Training: 29%|██▉ | 20320/70000 [7:11:36<17:39:07, 1.28s/step] Training: 29%|██▉ | 20321/70000 [7:11:38<17:16:11, 1.25s/step] Training: 29%|██▉ | 20322/70000 [7:11:39<17:00:32, 1.23s/step] Training: 29%|██▉ | 20323/70000 [7:11:40<17:23:31, 1.26s/step] Training: 29%|██▉ | 20324/70000 [7:11:41<17:11:32, 1.25s/step] Training: 29%|██▉ | 20325/70000 [7:11:43<17:36:54, 1.28s/step] Training: 29%|██▉ | 20326/70000 [7:11:44<17:55:05, 1.30s/step] Training: 29%|██▉ | 20327/70000 [7:11:45<17:29:32, 1.27s/step] Training: 29%|██▉ | 20328/70000 [7:11:46<17:15:09, 1.25s/step] Training: 29%|██▉ | 20329/70000 [7:11:48<17:01:19, 1.23s/step] Training: 29%|██▉ | 20330/70000 [7:11:49<16:50:34, 1.22s/step] Training: 29%|██▉ | 20331/70000 [7:11:50<17:17:47, 1.25s/step] Training: 29%|██▉ | 20332/70000 [7:11:52<17:35:51, 1.28s/step] Training: 29%|██▉ | 20333/70000 [7:11:53<18:02:29, 1.31s/step] Training: 29%|██▉ | 20334/70000 [7:11:54<18:14:43, 1.32s/step] Training: 29%|██▉ | 20335/70000 [7:11:55<17:39:46, 1.28s/step] Training: 29%|██▉ | 20336/70000 [7:11:57<17:52:21, 1.30s/step] Training: 29%|██▉ | 20337/70000 [7:11:58<17:26:22, 1.26s/step] Training: 29%|██▉ | 20338/70000 [7:11:59<17:08:39, 1.24s/step] Training: 29%|██▉ | 20339/70000 [7:12:00<17:02:13, 1.24s/step] Training: 29%|██▉ | 20340/70000 [7:12:02<17:25:50, 1.26s/step] Training: 29%|██▉ | 20341/70000 [7:12:03<17:27:16, 1.27s/step] Training: 29%|██▉ | 20342/70000 [7:12:04<17:09:25, 1.24s/step] Training: 29%|██▉ | 20343/70000 [7:12:05<16:56:03, 1.23s/step] Training: 29%|██▉ | 20344/70000 [7:12:07<17:24:57, 1.26s/step] Training: 29%|██▉ | 20345/70000 [7:12:08<17:06:40, 1.24s/step] Training: 29%|██▉ | 20346/70000 [7:12:09<16:53:52, 1.23s/step] Training: 29%|██▉ | 20347/70000 [7:12:10<17:22:50, 1.26s/step] Training: 29%|██▉ | 20348/70000 [7:12:12<17:40:15, 1.28s/step] Training: 29%|██▉ | 20349/70000 [7:12:13<17:52:47, 1.30s/step] Training: 29%|██▉ | 20350/70000 [7:12:14<17:38:48, 1.28s/step] Training: 29%|██▉ | 20351/70000 [7:12:16<17:15:47, 1.25s/step] Training: 29%|██▉ | 20352/70000 [7:12:17<17:42:22, 1.28s/step] Training: 29%|██▉ | 20353/70000 [7:12:18<17:19:24, 1.26s/step] Training: 29%|██▉ | 20354/70000 [7:12:19<17:03:01, 1.24s/step] Training: 29%|██▉ | 20355/70000 [7:12:20<16:51:52, 1.22s/step] Training: 29%|██▉ | 20356/70000 [7:12:22<17:17:24, 1.25s/step] Training: 29%|██▉ | 20357/70000 [7:12:23<17:36:11, 1.28s/step] Training: 29%|██▉ | 20358/70000 [7:12:24<17:25:56, 1.26s/step] Training: 29%|██▉ | 20359/70000 [7:12:26<17:04:28, 1.24s/step] Training: 29%|██▉ | 20360/70000 [7:12:27<16:59:47, 1.23s/step] Training: 29%|██▉ | 20361/70000 [7:12:28<16:48:47, 1.22s/step] Training: 29%|██▉ | 20362/70000 [7:12:29<16:41:05, 1.21s/step] Training: 29%|██▉ | 20363/70000 [7:12:30<16:35:47, 1.20s/step] Training: 29%|██▉ | 20364/70000 [7:12:32<17:33:03, 1.27s/step] Training: 29%|██▉ | 20365/70000 [7:12:33<17:59:17, 1.30s/step] Training: 29%|██▉ | 20366/70000 [7:12:34<17:31:02, 1.27s/step] Training: 29%|██▉ | 20367/70000 [7:12:36<17:48:29, 1.29s/step] Training: 29%|██▉ | 20368/70000 [7:12:37<17:56:50, 1.30s/step] Training: 29%|██▉ | 20369/70000 [7:12:38<17:28:54, 1.27s/step] Training: 29%|██▉ | 20370/70000 [7:12:39<17:08:59, 1.24s/step] Training: 29%|██▉ | 20371/70000 [7:12:41<16:55:24, 1.23s/step] Training: 29%|██▉ | 20372/70000 [7:12:42<17:19:13, 1.26s/step] Training: 29%|██▉ | 20373/70000 [7:12:43<17:26:07, 1.26s/step] Training: 29%|██▉ | 20374/70000 [7:12:44<17:08:24, 1.24s/step] Training: 29%|██▉ | 20375/70000 [7:12:46<17:17:22, 1.25s/step] Training: 29%|██▉ | 20376/70000 [7:12:47<17:34:53, 1.28s/step] Training: 29%|██▉ | 20377/70000 [7:12:48<17:13:00, 1.25s/step] Training: 29%|██▉ | 20378/70000 [7:12:49<16:58:10, 1.23s/step] Training: 29%|██▉ | 20379/70000 [7:12:51<16:47:44, 1.22s/step] Training: 29%|██▉ | 20380/70000 [7:12:52<17:20:30, 1.26s/step] Training: 29%|██▉ | 20381/70000 [7:12:53<17:07:44, 1.24s/step] Training: 29%|██▉ | 20382/70000 [7:12:54<17:26:46, 1.27s/step] Training: 29%|██▉ | 20383/70000 [7:12:56<17:50:01, 1.29s/step] Training: 29%|██▉ | 20384/70000 [7:12:57<17:57:35, 1.30s/step] Training: 29%|██▉ | 20385/70000 [7:12:58<17:29:52, 1.27s/step] Training: 29%|██▉ | 20386/70000 [7:12:59<17:12:45, 1.25s/step] Training: 29%|██▉ | 20387/70000 [7:13:01<16:58:39, 1.23s/step] Training: 29%|██▉ | 20388/70000 [7:13:02<16:56:50, 1.23s/step] Training: 29%|██▉ | 20389/70000 [7:13:03<17:21:27, 1.26s/step] Training: 29%|██▉ | 20390/70000 [7:13:05<17:40:02, 1.28s/step] Training: 29%|██▉ | 20391/70000 [7:13:06<18:04:06, 1.31s/step] Training: 29%|██▉ | 20392/70000 [7:13:07<17:42:43, 1.29s/step] Training: 29%|██▉ | 20393/70000 [7:13:08<17:19:31, 1.26s/step] Training: 29%|██▉ | 20394/70000 [7:13:10<17:01:58, 1.24s/step] Training: 29%|██▉ | 20395/70000 [7:13:11<16:50:56, 1.22s/step] Training: 29%|██▉ | 20396/70000 [7:13:12<17:15:51, 1.25s/step] Training: 29%|██▉ | 20397/70000 [7:13:13<17:38:50, 1.28s/step] Training: 29%|██▉ | 20398/70000 [7:13:15<17:41:22, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=3755 Training: 29%|██▉ | 20399/70000 [7:13:16<17:18:29, 1.26s/step] Training: 29%|██▉ | 20400/70000 [7:13:17<17:58:24, 1.30s/step]INFO 2026-03-13 03:23:09 ot_train.py:435 step:20K smpl:1M ep:4K epch:17.29 loss:0.064 grdn:8.965 lr:2.0e-05 updt_s:1.241 data_s:0.019 Training: 29%|██▉ | 20401/70000 [7:13:19<18:01:17, 1.31s/step] Training: 29%|██▉ | 20402/70000 [7:13:20<17:31:20, 1.27s/step] Training: 29%|██▉ | 20403/70000 [7:13:21<17:11:19, 1.25s/step] Training: 29%|██▉ | 20404/70000 [7:13:22<17:31:39, 1.27s/step] Training: 29%|██▉ | 20405/70000 [7:13:24<17:31:15, 1.27s/step] Training: 29%|██▉ | 20406/70000 [7:13:25<17:13:34, 1.25s/step] Training: 29%|██▉ | 20407/70000 [7:13:26<16:59:55, 1.23s/step] Training: 29%|██▉ | 20408/70000 [7:13:27<17:52:23, 1.30s/step] Training: 29%|██▉ | 20409/70000 [7:13:29<17:56:49, 1.30s/step] Training: 29%|██▉ | 20410/70000 [7:13:30<17:28:13, 1.27s/step] Training: 29%|██▉ | 20411/70000 [7:13:31<17:09:12, 1.25s/step] Training: 29%|██▉ | 20412/70000 [7:13:32<17:29:20, 1.27s/step] Training: 29%|██▉ | 20413/70000 [7:13:34<17:14:10, 1.25s/step] Training: 29%|██▉ | 20414/70000 [7:13:35<17:25:34, 1.27s/step] Training: 29%|██▉ | 20415/70000 [7:13:36<17:07:38, 1.24s/step] Training: 29%|██▉ | 20416/70000 [7:13:37<17:26:34, 1.27s/step] Training: 29%|██▉ | 20417/70000 [7:13:39<17:28:22, 1.27s/step] Training: 29%|██▉ | 20418/70000 [7:13:40<17:07:52, 1.24s/step] Training: 29%|██▉ | 20419/70000 [7:13:41<16:54:12, 1.23s/step] Training: 29%|██▉ | 20420/70000 [7:13:42<16:54:52, 1.23s/step] Training: 29%|██▉ | 20421/70000 [7:13:44<17:18:45, 1.26s/step] Training: 29%|██▉ | 20422/70000 [7:13:45<17:13:12, 1.25s/step] Training: 29%|██▉ | 20423/70000 [7:13:46<16:57:58, 1.23s/step] Training: 29%|██▉ | 20424/70000 [7:13:47<17:26:54, 1.27s/step] Training: 29%|██▉ | 20425/70000 [7:13:49<17:05:33, 1.24s/step] Training: 29%|██▉ | 20426/70000 [7:13:50<17:20:24, 1.26s/step] Training: 29%|██▉ | 20427/70000 [7:13:51<17:03:13, 1.24s/step] Training: 29%|██▉ | 20428/70000 [7:13:52<17:24:34, 1.26s/step] Training: 29%|██▉ | 20429/70000 [7:13:54<17:51:32, 1.30s/step] Training: 29%|██▉ | 20430/70000 [7:13:55<17:32:07, 1.27s/step] Training: 29%|██▉ | 20431/70000 [7:13:56<17:11:16, 1.25s/step] Training: 29%|██▉ | 20432/70000 [7:13:58<17:30:28, 1.27s/step] Training: 29%|██▉ | 20433/70000 [7:13:59<17:10:54, 1.25s/step] Training: 29%|██▉ | 20434/70000 [7:14:00<16:56:17, 1.23s/step] Training: 29%|██▉ | 20435/70000 [7:14:01<16:46:59, 1.22s/step] Training: 29%|██▉ | 20436/70000 [7:14:02<17:13:06, 1.25s/step] Training: 29%|██▉ | 20437/70000 [7:14:04<17:22:48, 1.26s/step] Training: 29%|██▉ | 20438/70000 [7:14:05<17:39:45, 1.28s/step] Training: 29%|██▉ | 20439/70000 [7:14:06<17:16:24, 1.25s/step] Training: 29%|██▉ | 20440/70000 [7:14:08<17:35:15, 1.28s/step] Training: 29%|██▉ | 20441/70000 [7:14:09<17:52:49, 1.30s/step] Training: 29%|██▉ | 20442/70000 [7:14:10<17:23:04, 1.26s/step] Training: 29%|██▉ | 20443/70000 [7:14:11<17:04:56, 1.24s/step] Training: 29%|██▉ | 20444/70000 [7:14:13<17:34:27, 1.28s/step] Training: 29%|██▉ | 20445/70000 [7:14:14<17:18:13, 1.26s/step] Training: 29%|██▉ | 20446/70000 [7:14:15<18:06:29, 1.32s/step] Training: 29%|██▉ | 20447/70000 [7:14:17<17:35:43, 1.28s/step] Training: 29%|██▉ | 20448/70000 [7:14:18<17:24:26, 1.26s/step] Training: 29%|██▉ | 20449/70000 [7:14:19<17:58:45, 1.31s/step] Training: 29%|██▉ | 20450/70000 [7:14:20<17:30:10, 1.27s/step] Training: 29%|██▉ | 20451/70000 [7:14:22<17:09:38, 1.25s/step] Training: 29%|██▉ | 20452/70000 [7:14:23<16:58:42, 1.23s/step] Training: 29%|██▉ | 20453/70000 [7:14:24<17:24:55, 1.27s/step] Training: 29%|██▉ | 20454/70000 [7:14:25<17:17:08, 1.26s/step] Training: 29%|██▉ | 20455/70000 [7:14:27<17:00:40, 1.24s/step] Training: 29%|██▉ | 20456/70000 [7:14:28<16:57:54, 1.23s/step] Training: 29%|██▉ | 20457/70000 [7:14:29<17:28:32, 1.27s/step] Training: 29%|██▉ | 20458/70000 [7:14:30<17:06:16, 1.24s/step] Training: 29%|██▉ | 20459/70000 [7:14:31<16:52:46, 1.23s/step] Training: 29%|██▉ | 20460/70000 [7:14:33<17:19:33, 1.26s/step] Training: 29%|██▉ | 20461/70000 [7:14:34<17:39:14, 1.28s/step] Training: 29%|██▉ | 20462/70000 [7:14:35<17:23:45, 1.26s/step] Training: 29%|██▉ | 20463/70000 [7:14:37<17:05:13, 1.24s/step] Training: 29%|██▉ | 20464/70000 [7:14:38<17:28:14, 1.27s/step] Training: 29%|██▉ | 20465/70000 [7:14:39<17:52:43, 1.30s/step] Training: 29%|██▉ | 20466/70000 [7:14:40<17:22:50, 1.26s/step] Training: 29%|██▉ | 20467/70000 [7:14:42<17:04:04, 1.24s/step] Training: 29%|██▉ | 20468/70000 [7:14:43<17:25:20, 1.27s/step] Training: 29%|██▉ | 20469/70000 [7:14:44<17:28:39, 1.27s/step] Training: 29%|██▉ | 20470/70000 [7:14:46<17:44:34, 1.29s/step] Training: 29%|██▉ | 20471/70000 [7:14:47<17:20:05, 1.26s/step] Training: 29%|██▉ | 20472/70000 [7:14:48<17:35:32, 1.28s/step] Training: 29%|██▉ | 20473/70000 [7:14:49<17:47:42, 1.29s/step] Training: 29%|██▉ | 20474/70000 [7:14:51<18:00:26, 1.31s/step] Training: 29%|██▉ | 20475/70000 [7:14:52<17:28:43, 1.27s/step] Training: 29%|██▉ | 20476/70000 [7:14:53<18:13:35, 1.32s/step] Training: 29%|██▉ | 20477/70000 [7:14:55<17:47:16, 1.29s/step] Training: 29%|██▉ | 20478/70000 [7:14:56<18:26:28, 1.34s/step] Training: 29%|██▉ | 20479/70000 [7:14:57<17:48:31, 1.29s/step] Training: 29%|██▉ | 20480/70000 [7:14:58<17:34:36, 1.28s/step] Training: 29%|██▉ | 20481/70000 [7:15:00<17:23:40, 1.26s/step] Training: 29%|██▉ | 20482/70000 [7:15:01<17:46:05, 1.29s/step] Training: 29%|██▉ | 20483/70000 [7:15:02<17:18:09, 1.26s/step] Training: 29%|██▉ | 20484/70000 [7:15:03<17:08:54, 1.25s/step] Training: 29%|██▉ | 20485/70000 [7:15:05<17:30:45, 1.27s/step] Training: 29%|██▉ | 20486/70000 [7:15:06<17:20:31, 1.26s/step] Training: 29%|██▉ | 20487/70000 [7:15:07<17:01:33, 1.24s/step] Training: 29%|██▉ | 20488/70000 [7:15:08<16:53:02, 1.23s/step] Training: 29%|██▉ | 20489/70000 [7:15:10<16:52:19, 1.23s/step] Training: 29%|██▉ | 20490/70000 [7:15:11<17:19:00, 1.26s/step] Training: 29%|██▉ | 20491/70000 [7:15:12<16:59:33, 1.24s/step] Training: 29%|██▉ | 20492/70000 [7:15:13<17:21:35, 1.26s/step] Training: 29%|██▉ | 20493/70000 [7:15:15<17:47:27, 1.29s/step] Training: 29%|██▉ | 20494/70000 [7:15:16<17:27:28, 1.27s/step] Training: 29%|██▉ | 20495/70000 [7:15:17<17:08:54, 1.25s/step] Training: 29%|██▉ | 20496/70000 [7:15:19<17:29:27, 1.27s/step] Training: 29%|██▉ | 20497/70000 [7:15:20<17:45:14, 1.29s/step] Training: 29%|██▉ | 20498/70000 [7:15:21<18:00:20, 1.31s/step] Training: 29%|██▉ | 20499/70000 [7:15:22<17:28:14, 1.27s/step] Training: 29%|██▉ | 20500/70000 [7:15:24<17:44:15, 1.29s/step]INFO 2026-03-13 03:25:16 ot_train.py:435 step:20K smpl:1M ep:4K epch:17.38 loss:0.070 grdn:8.332 lr:2.0e-05 updt_s:1.244 data_s:0.019 Training: 29%|██▉ | 20501/70000 [7:15:25<17:31:05, 1.27s/step] Training: 29%|██▉ | 20502/70000 [7:15:26<17:45:25, 1.29s/step] Training: 29%|██▉ | 20503/70000 [7:15:28<17:22:22, 1.26s/step] Training: 29%|██▉ | 20504/70000 [7:15:29<17:40:40, 1.29s/step] Training: 29%|██▉ | 20505/70000 [7:15:30<17:55:23, 1.30s/step] Training: 29%|██▉ | 20506/70000 [7:15:31<17:40:12, 1.29s/step] Training: 29%|██▉ | 20507/70000 [7:15:33<17:13:27, 1.25s/step] Training: 29%|██▉ | 20508/70000 [7:15:34<17:47:45, 1.29s/step] Training: 29%|██▉ | 20509/70000 [7:15:35<17:58:26, 1.31s/step] Training: 29%|██▉ | 20510/70000 [7:15:37<18:03:48, 1.31s/step] Training: 29%|██▉ | 20511/70000 [7:15:38<17:32:58, 1.28s/step] Training: 29%|██▉ | 20512/70000 [7:15:39<17:20:53, 1.26s/step] Training: 29%|██▉ | 20513/70000 [7:15:40<17:15:44, 1.26s/step] Training: 29%|██▉ | 20514/70000 [7:15:42<16:57:55, 1.23s/step] Training: 29%|██▉ | 20515/70000 [7:15:43<17:25:22, 1.27s/step] Training: 29%|██▉ | 20516/70000 [7:15:44<17:10:29, 1.25s/step] Training: 29%|██▉ | 20517/70000 [7:15:45<17:29:38, 1.27s/step] Training: 29%|██▉ | 20518/70000 [7:15:47<17:23:26, 1.27s/step] Training: 29%|██▉ | 20519/70000 [7:15:48<17:04:06, 1.24s/step] Training: 29%|██▉ | 20520/70000 [7:15:49<17:01:07, 1.24s/step] Training: 29%|██▉ | 20521/70000 [7:15:50<16:57:38, 1.23s/step] Training: 29%|██▉ | 20522/70000 [7:15:52<16:46:27, 1.22s/step] Training: 29%|██▉ | 20523/70000 [7:15:53<17:08:43, 1.25s/step] Training: 29%|██▉ | 20524/70000 [7:15:54<17:27:41, 1.27s/step] Training: 29%|██▉ | 20525/70000 [7:15:56<17:52:44, 1.30s/step] Training: 29%|██▉ | 20526/70000 [7:15:57<17:31:21, 1.28s/step] Training: 29%|██▉ | 20527/70000 [7:15:58<17:10:27, 1.25s/step] Training: 29%|██▉ | 20528/70000 [7:15:59<17:36:35, 1.28s/step] Training: 29%|██▉ | 20529/70000 [7:16:01<17:49:04, 1.30s/step] Training: 29%|██▉ | 20530/70000 [7:16:02<17:22:38, 1.26s/step] Training: 29%|██▉ | 20531/70000 [7:16:03<17:48:23, 1.30s/step] Training: 29%|██▉ | 20532/70000 [7:16:04<17:53:28, 1.30s/step] Training: 29%|██▉ | 20533/70000 [7:16:06<17:36:53, 1.28s/step] Training: 29%|██▉ | 20534/70000 [7:16:07<17:49:10, 1.30s/step] Training: 29%|██▉ | 20535/70000 [7:16:08<17:22:18, 1.26s/step] Training: 29%|██▉ | 20536/70000 [7:16:10<17:40:31, 1.29s/step] Training: 29%|██▉ | 20537/70000 [7:16:11<17:51:23, 1.30s/step] Training: 29%|██▉ | 20538/70000 [7:16:12<17:23:53, 1.27s/step] Training: 29%|██▉ | 20539/70000 [7:16:13<17:03:44, 1.24s/step] Training: 29%|██▉ | 20540/70000 [7:16:15<17:58:19, 1.31s/step] Training: 29%|██▉ | 20541/70000 [7:16:16<18:03:50, 1.31s/step] Training: 29%|██▉ | 20542/70000 [7:16:17<18:08:59, 1.32s/step] Training: 29%|██▉ | 20543/70000 [7:16:19<17:36:06, 1.28s/step] Training: 29%|██▉ | 20544/70000 [7:16:20<17:19:37, 1.26s/step] Training: 29%|██▉ | 20545/70000 [7:16:21<17:12:58, 1.25s/step] Training: 29%|██▉ | 20546/70000 [7:16:22<16:57:18, 1.23s/step] Training: 29%|██▉ | 20547/70000 [7:16:23<16:47:20, 1.22s/step] Training: 29%|██▉ | 20548/70000 [7:16:25<17:17:35, 1.26s/step] Training: 29%|██▉ | 20549/70000 [7:16:26<17:34:11, 1.28s/step] Training: 29%|██▉ | 20550/70000 [7:16:27<17:22:06, 1.26s/step] Training: 29%|██▉ | 20551/70000 [7:16:29<17:02:56, 1.24s/step] Training: 29%|██▉ | 20552/70000 [7:16:30<17:03:27, 1.24s/step] Training: 29%|██▉ | 20553/70000 [7:16:31<16:53:40, 1.23s/step] Training: 29%|██▉ | 20554/70000 [7:16:32<16:44:32, 1.22s/step] Training: 29%|██▉ | 20555/70000 [7:16:33<16:37:37, 1.21s/step] Training: 29%|██▉ | 20556/70000 [7:16:35<17:05:55, 1.24s/step] Training: 29%|██▉ | 20557/70000 [7:16:36<17:34:12, 1.28s/step] Training: 29%|██▉ | 20558/70000 [7:16:37<17:17:31, 1.26s/step] Training: 29%|██▉ | 20559/70000 [7:16:38<17:01:26, 1.24s/step] Training: 29%|██▉ | 20560/70000 [7:16:40<16:48:41, 1.22s/step] Training: 29%|██▉ | 20561/70000 [7:16:41<17:49:08, 1.30s/step] Training: 29%|██▉ | 20562/70000 [7:16:42<17:22:07, 1.26s/step] Training: 29%|██▉ | 20563/70000 [7:16:43<17:03:52, 1.24s/step] Training: 29%|██▉ | 20564/70000 [7:16:45<17:35:07, 1.28s/step] Training: 29%|██▉ | 20565/70000 [7:16:46<17:23:10, 1.27s/step] Training: 29%|██▉ | 20566/70000 [7:16:47<17:41:35, 1.29s/step] Training: 29%|██▉ | 20567/70000 [7:16:49<17:16:52, 1.26s/step] Training: 29%|██▉ | 20568/70000 [7:16:50<17:33:44, 1.28s/step] Training: 29%|██▉ | 20569/70000 [7:16:51<17:45:58, 1.29s/step] Training: 29%|██▉ | 20570/70000 [7:16:52<17:20:43, 1.26s/step] Training: 29%|██▉ | 20571/70000 [7:16:54<17:02:44, 1.24s/step] Training: 29%|██▉ | 20572/70000 [7:16:55<17:37:10, 1.28s/step] Training: 29%|██▉ | 20573/70000 [7:16:56<17:47:26, 1.30s/step] Training: 29%|██▉ | 20574/70000 [7:16:58<17:57:32, 1.31s/step] Training: 29%|██▉ | 20575/70000 [7:16:59<17:27:53, 1.27s/step] Training: 29%|██▉ | 20576/70000 [7:17:00<17:11:28, 1.25s/step] Training: 29%|██▉ | 20577/70000 [7:17:01<17:07:00, 1.25s/step] Training: 29%|██▉ | 20578/70000 [7:17:03<16:51:56, 1.23s/step] Training: 29%|██▉ | 20579/70000 [7:17:04<16:41:56, 1.22s/step] Training: 29%|██▉ | 20580/70000 [7:17:05<16:38:31, 1.21s/step] Training: 29%|██▉ | 20581/70000 [7:17:06<17:34:55, 1.28s/step] Training: 29%|██▉ | 20582/70000 [7:17:08<17:21:35, 1.26s/step] Training: 29%|██▉ | 20583/70000 [7:17:09<17:02:49, 1.24s/step] Training: 29%|██▉ | 20584/70000 [7:17:10<17:01:02, 1.24s/step] Training: 29%|██▉ | 20585/70000 [7:17:11<16:57:21, 1.24s/step] Training: 29%|██▉ | 20586/70000 [7:17:12<16:45:21, 1.22s/step] Training: 29%|██▉ | 20587/70000 [7:17:14<16:38:41, 1.21s/step] Training: 29%|██▉ | 20588/70000 [7:17:15<17:07:00, 1.25s/step] Training: 29%|██▉ | 20589/70000 [7:17:16<17:43:37, 1.29s/step] Training: 29%|██▉ | 20590/70000 [7:17:18<17:32:29, 1.28s/step] Training: 29%|██▉ | 20591/70000 [7:17:19<17:11:55, 1.25s/step] Training: 29%|██▉ | 20592/70000 [7:17:20<16:56:09, 1.23s/step] Training: 29%|██▉ | 20593/70000 [7:17:21<17:52:29, 1.30s/step] Training: 29%|██▉ | 20594/70000 [7:17:23<17:25:16, 1.27s/step] Training: 29%|██▉ | 20595/70000 [7:17:24<17:04:32, 1.24s/step] Training: 29%|██▉ | 20596/70000 [7:17:25<17:26:10, 1.27s/step] Training: 29%|██▉ | 20597/70000 [7:17:26<17:21:22, 1.26s/step] Training: 29%|██▉ | 20598/70000 [7:17:28<17:39:47, 1.29s/step] Training: 29%|██▉ | 20599/70000 [7:17:29<17:40:51, 1.29s/step] Training: 29%|██▉ | 20600/70000 [7:17:30<17:47:28, 1.30s/step]INFO 2026-03-13 03:27:22 ot_train.py:435 step:21K smpl:1M ep:4K epch:17.46 loss:0.070 grdn:8.259 lr:2.0e-05 updt_s:1.244 data_s:0.019 Training: 29%|██▉ | 20601/70000 [7:17:32<17:52:15, 1.30s/step] Training: 29%|██▉ | 20602/70000 [7:17:33<17:24:03, 1.27s/step] Training: 29%|██▉ | 20603/70000 [7:17:34<17:05:41, 1.25s/step] Training: 29%|██▉ | 20604/70000 [7:17:35<17:33:37, 1.28s/step] Training: 29%|██▉ | 20605/70000 [7:17:37<17:53:32, 1.30s/step] Training: 29%|██▉ | 20606/70000 [7:17:38<17:57:16, 1.31s/step] Training: 29%|██▉ | 20607/70000 [7:17:39<17:28:35, 1.27s/step] Training: 29%|██▉ | 20608/70000 [7:17:40<17:11:13, 1.25s/step] Training: 29%|██▉ | 20609/70000 [7:17:42<17:03:56, 1.24s/step] Training: 29%|██▉ | 20610/70000 [7:17:43<16:50:49, 1.23s/step] Training: 29%|██▉ | 20611/70000 [7:17:44<16:41:04, 1.22s/step] Training: 29%|██▉ | 20612/70000 [7:17:45<16:38:00, 1.21s/step] Training: 29%|██▉ | 20613/70000 [7:17:47<17:08:22, 1.25s/step] Training: 29%|██▉ | 20614/70000 [7:17:48<17:30:43, 1.28s/step] Training: 29%|██▉ | 20615/70000 [7:17:49<17:07:07, 1.25s/step] Training: 29%|██▉ | 20616/70000 [7:17:50<17:05:06, 1.25s/step] Training: 29%|██▉ | 20617/70000 [7:17:52<16:54:50, 1.23s/step] Training: 29%|██▉ | 20618/70000 [7:17:53<16:44:15, 1.22s/step] Training: 29%|██▉ | 20619/70000 [7:17:54<16:35:32, 1.21s/step] Training: 29%|██▉ | 20620/70000 [7:17:55<17:02:45, 1.24s/step] Training: 29%|██▉ | 20621/70000 [7:17:56<16:58:31, 1.24s/step] Training: 29%|██▉ | 20622/70000 [7:17:58<17:27:33, 1.27s/step] Training: 29%|██▉ | 20623/70000 [7:17:59<17:05:56, 1.25s/step] Training: 29%|██▉ | 20624/70000 [7:18:00<16:53:49, 1.23s/step] Training: 29%|██▉ | 20625/70000 [7:18:02<17:49:18, 1.30s/step] Training: 29%|██▉ | 20626/70000 [7:18:03<17:22:27, 1.27s/step] Training: 29%|██▉ | 20627/70000 [7:18:04<17:04:03, 1.24s/step] Training: 29%|██▉ | 20628/70000 [7:18:05<17:26:25, 1.27s/step] Training: 29%|██▉ | 20629/70000 [7:18:07<17:26:31, 1.27s/step] Training: 29%|██▉ | 20630/70000 [7:18:08<17:06:42, 1.25s/step] Training: 29%|██▉ | 20631/70000 [7:18:09<17:26:08, 1.27s/step] Training: 29%|██▉ | 20632/70000 [7:18:10<17:05:35, 1.25s/step] Training: 29%|██▉ | 20633/70000 [7:18:12<17:27:00, 1.27s/step] Training: 29%|██▉ | 20634/70000 [7:18:13<17:06:21, 1.25s/step] Training: 29%|██▉ | 20635/70000 [7:18:14<16:52:48, 1.23s/step] Training: 29%|██▉ | 20636/70000 [7:18:15<17:26:51, 1.27s/step] Training: 29%|██▉ | 20637/70000 [7:18:17<17:10:42, 1.25s/step] Training: 29%|██▉ | 20638/70000 [7:18:18<17:55:53, 1.31s/step] Training: 29%|██▉ | 20639/70000 [7:18:19<17:27:29, 1.27s/step] Training: 29%|██▉ | 20640/70000 [7:18:21<17:15:49, 1.26s/step] Training: 29%|██▉ | 20641/70000 [7:18:22<17:07:34, 1.25s/step] Training: 29%|██▉ | 20642/70000 [7:18:23<16:52:41, 1.23s/step] Training: 29%|██▉ | 20643/70000 [7:18:24<16:42:18, 1.22s/step] Training: 29%|██▉ | 20644/70000 [7:18:25<16:44:10, 1.22s/step] Training: 29%|██▉ | 20645/70000 [7:18:27<17:12:23, 1.26s/step] Training: 29%|██▉ | 20646/70000 [7:18:28<17:19:13, 1.26s/step] Training: 29%|██▉ | 20647/70000 [7:18:29<16:58:39, 1.24s/step] Training: 29%|██▉ | 20648/70000 [7:18:30<16:49:01, 1.23s/step] Training: 29%|██▉ | 20649/70000 [7:18:32<16:46:21, 1.22s/step] Training: 30%|██▉ | 20650/70000 [7:18:33<16:37:46, 1.21s/step] Training: 30%|██▉ | 20651/70000 [7:18:34<16:32:00, 1.21s/step] Training: 30%|██▉ | 20652/70000 [7:18:35<17:04:04, 1.25s/step] Training: 30%|██▉ | 20653/70000 [7:18:37<17:27:24, 1.27s/step] Training: 30%|██▉ | 20654/70000 [7:18:38<17:18:24, 1.26s/step] Training: 30%|██▉ | 20655/70000 [7:18:39<17:47:33, 1.30s/step] Training: 30%|██▉ | 20656/70000 [7:18:41<17:53:25, 1.31s/step] Training: 30%|██▉ | 20657/70000 [7:18:42<17:59:07, 1.31s/step] Training: 30%|██▉ | 20658/70000 [7:18:43<17:29:38, 1.28s/step] Training: 30%|██▉ | 20659/70000 [7:18:44<17:09:29, 1.25s/step] Training: 30%|██▉ | 20660/70000 [7:18:46<17:25:55, 1.27s/step] Training: 30%|██▉ | 20661/70000 [7:18:47<17:31:44, 1.28s/step] Training: 30%|██▉ | 20662/70000 [7:18:48<17:09:28, 1.25s/step] Training: 30%|██▉ | 20663/70000 [7:18:49<17:26:59, 1.27s/step] Training: 30%|██▉ | 20664/70000 [7:18:51<17:37:51, 1.29s/step] Training: 30%|██▉ | 20665/70000 [7:18:52<17:49:26, 1.30s/step] Training: 30%|██▉ | 20666/70000 [7:18:53<17:25:00, 1.27s/step] Training: 30%|██▉ | 20667/70000 [7:18:54<17:03:11, 1.24s/step] Training: 30%|██▉ | 20668/70000 [7:18:56<17:37:42, 1.29s/step] Training: 30%|██▉ | 20669/70000 [7:18:57<17:16:57, 1.26s/step] Training: 30%|██▉ | 20670/70000 [7:18:58<18:04:42, 1.32s/step] Training: 30%|██▉ | 20671/70000 [7:19:00<17:32:24, 1.28s/step] Training: 30%|██▉ | 20672/70000 [7:19:01<17:49:24, 1.30s/step] Training: 30%|██▉ | 20673/70000 [7:19:02<17:30:34, 1.28s/step] Training: 30%|██▉ | 20674/70000 [7:19:03<17:08:22, 1.25s/step] Training: 30%|██▉ | 20675/70000 [7:19:05<16:52:32, 1.23s/step] Training: 30%|██▉ | 20676/70000 [7:19:06<16:49:18, 1.23s/step] Training: 30%|██▉ | 20677/70000 [7:19:07<17:17:07, 1.26s/step] Training: 30%|██▉ | 20678/70000 [7:19:08<17:06:00, 1.25s/step] Training: 30%|██▉ | 20679/70000 [7:19:10<17:37:32, 1.29s/step] Training: 30%|██▉ | 20680/70000 [7:19:11<17:13:19, 1.26s/step] Training: 30%|██▉ | 20681/70000 [7:19:12<17:00:31, 1.24s/step] Training: 30%|██▉ | 20682/70000 [7:19:13<16:49:23, 1.23s/step] Training: 30%|██▉ | 20683/70000 [7:19:15<16:38:55, 1.22s/step] Training: 30%|██▉ | 20684/70000 [7:19:16<17:06:38, 1.25s/step] Training: 30%|██▉ | 20685/70000 [7:19:17<17:30:53, 1.28s/step] Training: 30%|██▉ | 20686/70000 [7:19:18<17:18:18, 1.26s/step] Training: 30%|██▉ | 20687/70000 [7:19:20<16:59:29, 1.24s/step] Training: 30%|██▉ | 20688/70000 [7:19:21<17:50:41, 1.30s/step] Training: 30%|██▉ | 20689/70000 [7:19:22<17:55:11, 1.31s/step] Training: 30%|██▉ | 20690/70000 [7:19:24<17:25:13, 1.27s/step] Training: 30%|██▉ | 20691/70000 [7:19:25<17:04:06, 1.25s/step] Training: 30%|██▉ | 20692/70000 [7:19:26<17:23:07, 1.27s/step] Training: 30%|██▉ | 20693/70000 [7:19:27<17:23:31, 1.27s/step] Training: 30%|██▉ | 20694/70000 [7:19:29<17:03:11, 1.25s/step] Training: 30%|██▉ | 20695/70000 [7:19:30<17:20:36, 1.27s/step] Training: 30%|██▉ | 20696/70000 [7:19:31<17:57:29, 1.31s/step] Training: 30%|██▉ | 20697/70000 [7:19:33<17:59:34, 1.31s/step] Training: 30%|██▉ | 20698/70000 [7:19:34<17:29:18, 1.28s/step] Training: 30%|██▉ | 20699/70000 [7:19:35<17:07:07, 1.25s/step] Training: 30%|██▉ | 20700/70000 [7:19:36<17:02:46, 1.24s/step]INFO 2026-03-13 03:29:28 ot_train.py:435 step:21K smpl:1M ep:5K epch:17.55 loss:0.069 grdn:8.073 lr:2.0e-05 updt_s:1.238 data_s:0.019 Training: 30%|██▉ | 20701/70000 [7:19:37<16:53:28, 1.23s/step] Training: 30%|██▉ | 20702/70000 [7:19:39<17:48:18, 1.30s/step] Training: 30%|██▉ | 20703/70000 [7:19:40<17:20:00, 1.27s/step] Training: 30%|██▉ | 20704/70000 [7:19:41<17:10:32, 1.25s/step] Training: 30%|██▉ | 20705/70000 [7:19:43<17:04:07, 1.25s/step] Training: 30%|██▉ | 20706/70000 [7:19:44<16:50:43, 1.23s/step] Training: 30%|██▉ | 20707/70000 [7:19:45<16:40:01, 1.22s/step] Training: 30%|██▉ | 20708/70000 [7:19:46<16:48:10, 1.23s/step] Training: 30%|██▉ | 20709/70000 [7:19:47<17:17:49, 1.26s/step] Training: 30%|██▉ | 20710/70000 [7:19:49<17:07:12, 1.25s/step] Training: 30%|██▉ | 20711/70000 [7:19:50<16:51:06, 1.23s/step] Training: 30%|██▉ | 20712/70000 [7:19:51<17:00:09, 1.24s/step] Training: 30%|██▉ | 20713/70000 [7:19:52<16:52:42, 1.23s/step] Training: 30%|██▉ | 20714/70000 [7:19:54<16:42:37, 1.22s/step] Training: 30%|██▉ | 20715/70000 [7:19:55<16:34:58, 1.21s/step] Training: 30%|██▉ | 20716/70000 [7:19:56<17:04:23, 1.25s/step] Training: 30%|██▉ | 20717/70000 [7:19:57<17:29:30, 1.28s/step] Training: 30%|██▉ | 20718/70000 [7:19:59<17:22:57, 1.27s/step] Training: 30%|██▉ | 20719/70000 [7:20:00<17:03:32, 1.25s/step] Training: 30%|██▉ | 20720/70000 [7:20:01<17:24:24, 1.27s/step] Training: 30%|██▉ | 20721/70000 [7:20:03<17:38:23, 1.29s/step] Training: 30%|██▉ | 20722/70000 [7:20:04<17:14:23, 1.26s/step] Training: 30%|██▉ | 20723/70000 [7:20:05<16:56:57, 1.24s/step] Training: 30%|██▉ | 20724/70000 [7:20:06<17:19:39, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=41315 Training: 30%|██▉ | 20725/70000 [7:20:08<17:19:54, 1.27s/step] Training: 30%|██▉ | 20726/70000 [7:20:09<17:01:14, 1.24s/step] Training: 30%|██▉ | 20727/70000 [7:20:10<17:17:51, 1.26s/step] Training: 30%|██▉ | 20728/70000 [7:20:11<17:40:07, 1.29s/step] Training: 30%|██▉ | 20729/70000 [7:20:13<18:10:35, 1.33s/step] Training: 30%|██▉ | 20730/70000 [7:20:14<17:36:19, 1.29s/step] Training: 30%|██▉ | 20731/70000 [7:20:15<17:12:41, 1.26s/step] Training: 30%|██▉ | 20732/70000 [7:20:16<17:07:51, 1.25s/step] Training: 30%|██▉ | 20733/70000 [7:20:18<16:57:05, 1.24s/step] Training: 30%|██▉ | 20734/70000 [7:20:19<17:45:41, 1.30s/step] Training: 30%|██▉ | 20735/70000 [7:20:20<17:17:28, 1.26s/step] Training: 30%|██▉ | 20736/70000 [7:20:21<17:06:56, 1.25s/step] Training: 30%|██▉ | 20737/70000 [7:20:23<17:15:07, 1.26s/step] Training: 30%|██▉ | 20738/70000 [7:20:24<16:56:29, 1.24s/step] Training: 30%|██▉ | 20739/70000 [7:20:25<16:43:56, 1.22s/step] Training: 30%|██▉ | 20740/70000 [7:20:26<17:11:53, 1.26s/step] Training: 30%|██▉ | 20741/70000 [7:20:28<17:29:38, 1.28s/step] Training: 30%|██▉ | 20742/70000 [7:20:29<17:13:25, 1.26s/step] Training: 30%|██▉ | 20743/70000 [7:20:30<16:56:21, 1.24s/step] Training: 30%|██▉ | 20744/70000 [7:20:31<16:45:50, 1.23s/step] Training: 30%|██▉ | 20745/70000 [7:20:33<17:14:59, 1.26s/step] Training: 30%|██▉ | 20746/70000 [7:20:34<16:53:50, 1.24s/step] Training: 30%|██▉ | 20747/70000 [7:20:35<16:41:56, 1.22s/step] Training: 30%|██▉ | 20748/70000 [7:20:36<17:06:27, 1.25s/step] Training: 30%|██▉ | 20749/70000 [7:20:38<17:27:15, 1.28s/step] Training: 30%|██▉ | 20750/70000 [7:20:39<17:17:32, 1.26s/step] Training: 30%|██▉ | 20751/70000 [7:20:40<16:58:59, 1.24s/step] Training: 30%|██▉ | 20752/70000 [7:20:41<16:47:18, 1.23s/step] Training: 30%|██▉ | 20753/70000 [7:20:43<17:47:03, 1.30s/step] Training: 30%|██▉ | 20754/70000 [7:20:44<17:17:59, 1.26s/step] Training: 30%|██▉ | 20755/70000 [7:20:45<16:59:47, 1.24s/step] Training: 30%|██▉ | 20756/70000 [7:20:47<17:20:33, 1.27s/step] Training: 30%|██▉ | 20757/70000 [7:20:48<17:43:28, 1.30s/step] Training: 30%|██▉ | 20758/70000 [7:20:49<17:17:13, 1.26s/step] Training: 30%|██▉ | 20759/70000 [7:20:50<17:30:02, 1.28s/step] Training: 30%|██▉ | 20760/70000 [7:20:52<17:07:10, 1.25s/step] Training: 30%|██▉ | 20761/70000 [7:20:53<17:39:40, 1.29s/step] Training: 30%|██▉ | 20762/70000 [7:20:54<17:54:17, 1.31s/step] Training: 30%|██▉ | 20763/70000 [7:20:55<17:23:13, 1.27s/step] Training: 30%|██▉ | 20764/70000 [7:20:57<17:45:58, 1.30s/step] Training: 30%|██▉ | 20765/70000 [7:20:58<17:24:27, 1.27s/step] Training: 30%|██▉ | 20766/70000 [7:20:59<17:05:11, 1.25s/step] Training: 30%|██▉ | 20767/70000 [7:21:00<16:50:31, 1.23s/step] Training: 30%|██▉ | 20768/70000 [7:21:02<16:39:59, 1.22s/step] Training: 30%|██▉ | 20769/70000 [7:21:03<16:45:50, 1.23s/step] Training: 30%|██▉ | 20770/70000 [7:21:04<17:14:52, 1.26s/step] Training: 30%|██▉ | 20771/70000 [7:21:05<16:55:47, 1.24s/step] Training: 30%|██▉ | 20772/70000 [7:21:07<17:19:13, 1.27s/step] Training: 30%|██▉ | 20773/70000 [7:21:08<17:37:12, 1.29s/step] Training: 30%|██▉ | 20774/70000 [7:21:09<17:13:00, 1.26s/step] Training: 30%|██▉ | 20775/70000 [7:21:10<16:55:00, 1.24s/step] Training: 30%|██▉ | 20776/70000 [7:21:12<16:43:35, 1.22s/step] Training: 30%|██▉ | 20777/70000 [7:21:13<17:08:38, 1.25s/step] Training: 30%|██▉ | 20778/70000 [7:21:14<17:29:13, 1.28s/step] Training: 30%|██▉ | 20779/70000 [7:21:16<17:06:02, 1.25s/step] Training: 30%|██▉ | 20780/70000 [7:21:17<17:24:22, 1.27s/step] Training: 30%|██▉ | 20781/70000 [7:21:18<17:37:11, 1.29s/step] Training: 30%|██▉ | 20782/70000 [7:21:19<17:23:55, 1.27s/step] Training: 30%|██▉ | 20783/70000 [7:21:21<17:03:30, 1.25s/step] Training: 30%|██▉ | 20784/70000 [7:21:22<16:48:11, 1.23s/step] Training: 30%|██▉ | 20785/70000 [7:21:23<17:15:54, 1.26s/step] Training: 30%|██▉ | 20786/70000 [7:21:24<17:39:03, 1.29s/step] Training: 30%|██▉ | 20787/70000 [7:21:26<17:11:23, 1.26s/step] Training: 30%|██▉ | 20788/70000 [7:21:27<17:30:15, 1.28s/step] Training: 30%|██▉ | 20789/70000 [7:21:28<17:51:24, 1.31s/step] Training: 30%|██▉ | 20790/70000 [7:21:30<17:27:16, 1.28s/step] Training: 30%|██▉ | 20791/70000 [7:21:31<17:06:21, 1.25s/step] Training: 30%|██▉ | 20792/70000 [7:21:32<16:51:30, 1.23s/step] Training: 30%|██▉ | 20793/70000 [7:21:33<17:16:52, 1.26s/step] Training: 30%|██▉ | 20794/70000 [7:21:35<17:11:53, 1.26s/step] Training: 30%|██▉ | 20795/70000 [7:21:36<16:52:57, 1.24s/step] Training: 30%|██▉ | 20796/70000 [7:21:37<17:25:19, 1.27s/step] Training: 30%|██▉ | 20797/70000 [7:21:38<17:09:21, 1.26s/step] Training: 30%|██▉ | 20798/70000 [7:21:40<17:26:26, 1.28s/step] Training: 30%|██▉ | 20799/70000 [7:21:41<17:04:56, 1.25s/step] Training: 30%|██▉ | 20800/70000 [7:21:42<16:49:53, 1.23s/step]INFO 2026-03-13 03:31:34 ot_train.py:435 step:21K smpl:1M ep:5K epch:17.63 loss:0.070 grdn:8.295 lr:2.0e-05 updt_s:1.237 data_s:0.019 Training: 30%|██▉ | 20801/70000 [7:21:43<16:51:19, 1.23s/step] Training: 30%|██▉ | 20802/70000 [7:21:44<16:41:43, 1.22s/step] Training: 30%|██▉ | 20803/70000 [7:21:46<17:11:47, 1.26s/step] Training: 30%|██▉ | 20804/70000 [7:21:47<17:29:02, 1.28s/step] Training: 30%|██▉ | 20805/70000 [7:21:48<17:43:42, 1.30s/step] Training: 30%|██▉ | 20806/70000 [7:21:50<17:51:19, 1.31s/step] Training: 30%|██▉ | 20807/70000 [7:21:51<17:23:35, 1.27s/step] Training: 30%|██▉ | 20808/70000 [7:21:52<17:01:17, 1.25s/step] Training: 30%|██▉ | 20809/70000 [7:21:53<17:21:15, 1.27s/step] Training: 30%|██▉ | 20810/70000 [7:21:55<17:01:15, 1.25s/step] Training: 30%|██▉ | 20811/70000 [7:21:56<17:19:29, 1.27s/step] Training: 30%|██▉ | 20812/70000 [7:21:57<17:32:50, 1.28s/step] Training: 30%|██▉ | 20813/70000 [7:21:59<17:44:27, 1.30s/step] Training: 30%|██▉ | 20814/70000 [7:22:00<17:29:22, 1.28s/step] Training: 30%|██▉ | 20815/70000 [7:22:01<17:07:15, 1.25s/step] Training: 30%|██▉ | 20816/70000 [7:22:02<16:52:34, 1.24s/step] Training: 30%|██▉ | 20817/70000 [7:22:04<17:15:47, 1.26s/step] Training: 30%|██▉ | 20818/70000 [7:22:05<16:57:52, 1.24s/step] Training: 30%|██▉ | 20819/70000 [7:22:06<17:27:34, 1.28s/step] Training: 30%|██▉ | 20820/70000 [7:22:07<17:41:49, 1.30s/step] Training: 30%|██▉ | 20821/70000 [7:22:09<18:15:31, 1.34s/step] Training: 30%|██▉ | 20822/70000 [7:22:10<17:51:24, 1.31s/step] Training: 30%|██▉ | 20823/70000 [7:22:11<17:22:53, 1.27s/step] Training: 30%|██▉ | 20824/70000 [7:22:13<17:03:29, 1.25s/step] Training: 30%|██▉ | 20825/70000 [7:22:14<17:23:11, 1.27s/step] Training: 30%|██▉ | 20826/70000 [7:22:15<17:02:33, 1.25s/step] Training: 30%|██▉ | 20827/70000 [7:22:16<16:49:39, 1.23s/step] Training: 30%|██▉ | 20828/70000 [7:22:18<17:17:28, 1.27s/step] Training: 30%|██▉ | 20829/70000 [7:22:19<17:31:42, 1.28s/step] Training: 30%|██▉ | 20830/70000 [7:22:20<17:08:48, 1.26s/step] Training: 30%|██▉ | 20831/70000 [7:22:21<17:21:08, 1.27s/step] Training: 30%|██▉ | 20832/70000 [7:22:23<17:01:11, 1.25s/step] Training: 30%|██▉ | 20833/70000 [7:22:24<16:57:23, 1.24s/step] Training: 30%|██▉ | 20834/70000 [7:22:25<16:46:20, 1.23s/step] Training: 30%|██▉ | 20835/70000 [7:22:26<16:35:13, 1.21s/step] Training: 30%|██▉ | 20836/70000 [7:22:28<17:01:41, 1.25s/step] Training: 30%|██▉ | 20837/70000 [7:22:29<17:41:21, 1.30s/step] Training: 30%|██▉ | 20838/70000 [7:22:30<17:52:33, 1.31s/step] Training: 30%|██▉ | 20839/70000 [7:22:31<17:23:50, 1.27s/step] Training: 30%|██▉ | 20840/70000 [7:22:33<17:03:18, 1.25s/step] Training: 30%|██▉ | 20841/70000 [7:22:34<17:22:58, 1.27s/step] Training: 30%|██▉ | 20842/70000 [7:22:35<17:02:23, 1.25s/step] Training: 30%|██▉ | 20843/70000 [7:22:36<16:47:26, 1.23s/step] Training: 30%|██▉ | 20844/70000 [7:22:38<16:41:21, 1.22s/step] Training: 30%|██▉ | 20845/70000 [7:22:39<17:06:43, 1.25s/step] Training: 30%|██▉ | 20846/70000 [7:22:40<16:55:34, 1.24s/step] Training: 30%|██▉ | 20847/70000 [7:22:41<16:42:18, 1.22s/step] Training: 30%|██▉ | 20848/70000 [7:22:42<16:33:40, 1.21s/step] Training: 30%|██▉ | 20849/70000 [7:22:44<17:02:00, 1.25s/step] Training: 30%|██▉ | 20850/70000 [7:22:45<16:47:20, 1.23s/step] Training: 30%|██▉ | 20851/70000 [7:22:46<16:37:38, 1.22s/step] Training: 30%|██▉ | 20852/70000 [7:22:47<17:04:56, 1.25s/step] Training: 30%|██▉ | 20853/70000 [7:22:49<17:46:17, 1.30s/step] Training: 30%|██▉ | 20854/70000 [7:22:50<17:28:43, 1.28s/step] Training: 30%|██▉ | 20855/70000 [7:22:51<17:06:01, 1.25s/step] Training: 30%|██▉ | 20856/70000 [7:22:53<16:50:27, 1.23s/step] Training: 30%|██▉ | 20857/70000 [7:22:54<17:25:46, 1.28s/step] Training: 30%|██▉ | 20858/70000 [7:22:55<17:04:19, 1.25s/step] Training: 30%|██▉ | 20859/70000 [7:22:56<16:51:06, 1.23s/step] Training: 30%|██▉ | 20860/70000 [7:22:58<17:22:24, 1.27s/step] Training: 30%|██▉ | 20861/70000 [7:22:59<17:34:19, 1.29s/step] Training: 30%|██▉ | 20862/70000 [7:23:00<17:11:25, 1.26s/step] Training: 30%|██▉ | 20863/70000 [7:23:01<17:28:05, 1.28s/step] Training: 30%|██▉ | 20864/70000 [7:23:03<17:05:58, 1.25s/step] Training: 30%|██▉ | 20865/70000 [7:23:04<17:02:15, 1.25s/step] Training: 30%|██▉ | 20866/70000 [7:23:05<16:47:15, 1.23s/step] Training: 30%|██▉ | 20867/70000 [7:23:06<16:36:35, 1.22s/step] Training: 30%|██▉ | 20868/70000 [7:23:08<16:43:39, 1.23s/step] Training: 30%|██▉ | 20869/70000 [7:23:09<17:09:57, 1.26s/step] Training: 30%|██▉ | 20870/70000 [7:23:10<16:52:33, 1.24s/step] Training: 30%|██▉ | 20871/70000 [7:23:11<17:14:31, 1.26s/step] Training: 30%|██▉ | 20872/70000 [7:23:13<16:56:08, 1.24s/step] Training: 30%|██▉ | 20873/70000 [7:23:14<17:16:17, 1.27s/step] Training: 30%|██▉ | 20874/70000 [7:23:15<16:57:41, 1.24s/step] Training: 30%|██▉ | 20875/70000 [7:23:16<16:44:10, 1.23s/step] Training: 30%|██▉ | 20876/70000 [7:23:17<16:35:30, 1.22s/step] Training: 30%|██▉ | 20877/70000 [7:23:19<17:34:14, 1.29s/step] Training: 30%|██▉ | 20878/70000 [7:23:20<17:10:27, 1.26s/step] Training: 30%|██▉ | 20879/70000 [7:23:21<17:21:12, 1.27s/step] Training: 30%|██▉ | 20880/70000 [7:23:23<17:00:12, 1.25s/step] Training: 30%|██▉ | 20881/70000 [7:23:24<17:25:04, 1.28s/step] Training: 30%|██▉ | 20882/70000 [7:23:25<17:03:39, 1.25s/step] Training: 30%|██▉ | 20883/70000 [7:23:26<16:49:17, 1.23s/step] Training: 30%|██▉ | 20884/70000 [7:23:28<16:38:11, 1.22s/step] Training: 30%|██▉ | 20885/70000 [7:23:29<17:33:13, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=47153 Training: 30%|██▉ | 20886/70000 [7:23:30<17:08:50, 1.26s/step] Training: 30%|██▉ | 20887/70000 [7:23:31<16:52:13, 1.24s/step] Training: 30%|██▉ | 20888/70000 [7:23:33<16:41:10, 1.22s/step] Training: 30%|██▉ | 20889/70000 [7:23:34<17:23:25, 1.27s/step] Training: 30%|██▉ | 20890/70000 [7:23:35<17:01:52, 1.25s/step] Training: 30%|██▉ | 20891/70000 [7:23:36<16:46:43, 1.23s/step] Training: 30%|██▉ | 20892/70000 [7:23:37<16:37:05, 1.22s/step] Training: 30%|██▉ | 20893/70000 [7:23:39<17:21:34, 1.27s/step] Training: 30%|██▉ | 20894/70000 [7:23:40<16:58:29, 1.24s/step] Training: 30%|██▉ | 20895/70000 [7:23:41<16:44:22, 1.23s/step] Training: 30%|██▉ | 20896/70000 [7:23:42<16:35:00, 1.22s/step] Training: 30%|██▉ | 20897/70000 [7:23:44<16:45:01, 1.23s/step] Training: 30%|██▉ | 20898/70000 [7:23:45<16:35:07, 1.22s/step] Training: 30%|██▉ | 20899/70000 [7:23:46<16:28:29, 1.21s/step] Training: 30%|██▉ | 20900/70000 [7:23:47<16:24:23, 1.20s/step]INFO 2026-03-13 03:33:39 ot_train.py:435 step:21K smpl:1M ep:5K epch:17.71 loss:0.074 grdn:8.573 lr:2.0e-05 updt_s:1.232 data_s:0.018 Training: 30%|██▉ | 20901/70000 [7:23:49<16:56:58, 1.24s/step] Training: 30%|██▉ | 20902/70000 [7:23:50<17:20:46, 1.27s/step] Training: 30%|██▉ | 20903/70000 [7:23:51<17:10:41, 1.26s/step] Training: 30%|██▉ | 20904/70000 [7:23:52<16:54:32, 1.24s/step] Training: 30%|██▉ | 20905/70000 [7:23:54<16:49:31, 1.23s/step] Training: 30%|██▉ | 20906/70000 [7:23:55<17:14:16, 1.26s/step] Training: 30%|██▉ | 20907/70000 [7:23:56<16:55:32, 1.24s/step] Training: 30%|██▉ | 20908/70000 [7:23:57<16:42:50, 1.23s/step] Training: 30%|██▉ | 20909/70000 [7:23:59<17:08:30, 1.26s/step] Training: 30%|██▉ | 20910/70000 [7:24:00<17:29:51, 1.28s/step] Training: 30%|██▉ | 20911/70000 [7:24:01<17:12:33, 1.26s/step] Training: 30%|██▉ | 20912/70000 [7:24:02<16:54:46, 1.24s/step] Training: 30%|██▉ | 20913/70000 [7:24:04<16:42:36, 1.23s/step] Training: 30%|██▉ | 20914/70000 [7:24:05<17:03:08, 1.25s/step] Training: 30%|██▉ | 20915/70000 [7:24:06<16:48:10, 1.23s/step] Training: 30%|██▉ | 20916/70000 [7:24:07<16:37:25, 1.22s/step] Training: 30%|██▉ | 20917/70000 [7:24:09<17:13:14, 1.26s/step] Training: 30%|██▉ | 20918/70000 [7:24:10<16:55:31, 1.24s/step] Training: 30%|██▉ | 20919/70000 [7:24:11<17:18:28, 1.27s/step] Training: 30%|██▉ | 20920/70000 [7:24:12<16:58:40, 1.25s/step] Training: 30%|██▉ | 20921/70000 [7:24:14<17:18:14, 1.27s/step] Training: 30%|██▉ | 20922/70000 [7:24:15<17:05:23, 1.25s/step] Training: 30%|██▉ | 20923/70000 [7:24:16<16:49:38, 1.23s/step] Training: 30%|██▉ | 20924/70000 [7:24:17<16:39:10, 1.22s/step] Training: 30%|██▉ | 20925/70000 [7:24:19<16:49:40, 1.23s/step] Training: 30%|██▉ | 20926/70000 [7:24:20<16:47:01, 1.23s/step] Training: 30%|██▉ | 20927/70000 [7:24:21<17:10:30, 1.26s/step] Training: 30%|██▉ | 20928/70000 [7:24:22<16:55:31, 1.24s/step] Training: 30%|██▉ | 20929/70000 [7:24:23<16:46:42, 1.23s/step] Training: 30%|██▉ | 20930/70000 [7:24:25<17:11:57, 1.26s/step] Training: 30%|██▉ | 20931/70000 [7:24:26<16:55:00, 1.24s/step] Training: 30%|██▉ | 20932/70000 [7:24:27<16:44:43, 1.23s/step] Training: 30%|██▉ | 20933/70000 [7:24:29<17:11:06, 1.26s/step] Training: 30%|██▉ | 20934/70000 [7:24:30<17:13:31, 1.26s/step] Training: 30%|██▉ | 20935/70000 [7:24:31<17:01:55, 1.25s/step] Training: 30%|██▉ | 20936/70000 [7:24:32<16:48:27, 1.23s/step] Training: 30%|██▉ | 20937/70000 [7:24:33<16:48:46, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=47153 Training: 30%|██▉ | 20938/70000 [7:24:35<17:17:13, 1.27s/step] Training: 30%|██▉ | 20939/70000 [7:24:36<16:58:49, 1.25s/step] Training: 30%|██▉ | 20940/70000 [7:24:37<16:45:17, 1.23s/step] Training: 30%|██▉ | 20941/70000 [7:24:39<17:11:14, 1.26s/step] Training: 30%|██▉ | 20942/70000 [7:24:40<16:53:42, 1.24s/step] Training: 30%|██▉ | 20943/70000 [7:24:41<17:20:51, 1.27s/step] Training: 30%|██▉ | 20944/70000 [7:24:42<17:00:13, 1.25s/step] Training: 30%|██▉ | 20945/70000 [7:24:43<16:43:35, 1.23s/step] Training: 30%|██▉ | 20946/70000 [7:24:45<17:37:20, 1.29s/step] Training: 30%|██▉ | 20947/70000 [7:24:46<17:13:33, 1.26s/step] Training: 30%|██▉ | 20948/70000 [7:24:47<16:54:49, 1.24s/step] Training: 30%|██▉ | 20949/70000 [7:24:49<17:49:23, 1.31s/step] Training: 30%|██▉ | 20950/70000 [7:24:50<17:20:20, 1.27s/step] Training: 30%|██▉ | 20951/70000 [7:24:51<17:50:37, 1.31s/step] Training: 30%|██▉ | 20952/70000 [7:24:53<17:20:53, 1.27s/step] Training: 30%|██▉ | 20953/70000 [7:24:54<17:34:57, 1.29s/step] Training: 30%|██▉ | 20954/70000 [7:24:55<17:16:12, 1.27s/step] Training: 30%|██▉ | 20955/70000 [7:24:56<16:57:48, 1.25s/step] Training: 30%|██▉ | 20956/70000 [7:24:57<16:45:32, 1.23s/step] Training: 30%|██▉ | 20957/70000 [7:24:59<17:50:53, 1.31s/step] Training: 30%|██▉ | 20958/70000 [7:25:00<17:22:29, 1.28s/step] Training: 30%|██▉ | 20959/70000 [7:25:01<17:32:28, 1.29s/step] Training: 30%|██▉ | 20960/70000 [7:25:03<17:47:44, 1.31s/step] Training: 30%|██▉ | 20961/70000 [7:25:04<17:17:00, 1.27s/step] Training: 30%|██▉ | 20962/70000 [7:25:05<17:50:45, 1.31s/step] Training: 30%|██▉ | 20963/70000 [7:25:07<17:19:48, 1.27s/step] Training: 30%|██▉ | 20964/70000 [7:25:08<17:00:44, 1.25s/step] Training: 30%|██▉ | 20965/70000 [7:25:09<17:18:48, 1.27s/step] Training: 30%|██▉ | 20966/70000 [7:25:10<16:58:42, 1.25s/step] Training: 30%|██▉ | 20967/70000 [7:25:12<17:35:14, 1.29s/step] Training: 30%|██▉ | 20968/70000 [7:25:13<17:07:46, 1.26s/step] Training: 30%|██▉ | 20969/70000 [7:25:14<16:55:02, 1.24s/step] Training: 30%|██▉ | 20970/70000 [7:25:15<17:37:42, 1.29s/step] Training: 30%|██▉ | 20971/70000 [7:25:17<17:11:23, 1.26s/step] Training: 30%|██▉ | 20972/70000 [7:25:18<16:54:45, 1.24s/step] Training: 30%|██▉ | 20973/70000 [7:25:19<17:19:46, 1.27s/step] Training: 30%|██▉ | 20974/70000 [7:25:20<17:01:04, 1.25s/step] Training: 30%|██▉ | 20975/70000 [7:25:22<16:54:20, 1.24s/step] Training: 30%|██▉ | 20976/70000 [7:25:23<17:23:47, 1.28s/step] Training: 30%|██▉ | 20977/70000 [7:25:24<17:04:40, 1.25s/step] Training: 30%|██▉ | 20978/70000 [7:25:26<17:21:38, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=3755 Training: 30%|██▉ | 20979/70000 [7:25:27<17:00:38, 1.25s/step] Training: 30%|██▉ | 20980/70000 [7:25:28<16:45:12, 1.23s/step] Training: 30%|██▉ | 20981/70000 [7:25:29<17:19:34, 1.27s/step] Training: 30%|██▉ | 20982/70000 [7:25:30<16:59:07, 1.25s/step] Training: 30%|██▉ | 20983/70000 [7:25:32<17:18:42, 1.27s/step] Training: 30%|██▉ | 20984/70000 [7:25:33<17:35:56, 1.29s/step] Training: 30%|██▉ | 20985/70000 [7:25:34<17:45:12, 1.30s/step] Training: 30%|██▉ | 20986/70000 [7:25:36<17:41:13, 1.30s/step] Training: 30%|██▉ | 20987/70000 [7:25:37<17:15:41, 1.27s/step] Training: 30%|██▉ | 20988/70000 [7:25:38<16:57:02, 1.25s/step] Training: 30%|██▉ | 20989/70000 [7:25:39<16:59:07, 1.25s/step] Training: 30%|██▉ | 20990/70000 [7:25:41<16:45:20, 1.23s/step] Training: 30%|██▉ | 20991/70000 [7:25:42<17:08:08, 1.26s/step] Training: 30%|██▉ | 20992/70000 [7:25:43<16:54:30, 1.24s/step] Training: 30%|██▉ | 20993/70000 [7:25:44<17:13:07, 1.26s/step] Training: 30%|██▉ | 20994/70000 [7:25:46<16:54:43, 1.24s/step] Training: 30%|██▉ | 20995/70000 [7:25:47<16:41:01, 1.23s/step] Training: 30%|██▉ | 20996/70000 [7:25:48<16:32:22, 1.22s/step] Training: 30%|██▉ | 20997/70000 [7:25:49<17:00:31, 1.25s/step] Training: 30%|██▉ | 20998/70000 [7:25:51<17:15:12, 1.27s/step] Training: 30%|██▉ | 20999/70000 [7:25:52<17:04:22, 1.25s/step] Training: 30%|███ | 21000/70000 [7:25:53<16:58:40, 1.25s/step]INFO 2026-03-13 03:35:45 ot_train.py:435 step:21K smpl:1M ep:5K epch:17.80 loss:0.074 grdn:7.710 lr:2.0e-05 updt_s:1.237 data_s:0.019 Training: 30%|███ | 21001/70000 [7:25:54<17:17:35, 1.27s/step] Training: 30%|███ | 21002/70000 [7:25:56<16:56:53, 1.25s/step] Training: 30%|███ | 21003/70000 [7:25:57<16:42:29, 1.23s/step] Training: 30%|███ | 21004/70000 [7:25:58<16:33:12, 1.22s/step] Training: 30%|███ | 21005/70000 [7:25:59<17:02:50, 1.25s/step] Training: 30%|███ | 21006/70000 [7:26:01<17:16:58, 1.27s/step] Training: 30%|███ | 21007/70000 [7:26:02<17:04:31, 1.25s/step] Training: 30%|███ | 21008/70000 [7:26:03<17:05:23, 1.26s/step] Training: 30%|███ | 21009/70000 [7:26:04<16:52:38, 1.24s/step] Training: 30%|███ | 21010/70000 [7:26:05<16:48:08, 1.23s/step] Training: 30%|███ | 21011/70000 [7:26:07<16:36:10, 1.22s/step] Training: 30%|███ | 21012/70000 [7:26:08<16:28:42, 1.21s/step] Training: 30%|███ | 21013/70000 [7:26:09<17:05:24, 1.26s/step] Training: 30%|███ | 21014/70000 [7:26:11<17:15:07, 1.27s/step] Training: 30%|███ | 21015/70000 [7:26:12<17:31:59, 1.29s/step] Training: 30%|███ | 21016/70000 [7:26:13<17:08:34, 1.26s/step] Training: 30%|███ | 21017/70000 [7:26:14<17:46:17, 1.31s/step] Training: 30%|███ | 21018/70000 [7:26:16<17:22:24, 1.28s/step] Training: 30%|███ | 21019/70000 [7:26:17<17:00:27, 1.25s/step] Training: 30%|███ | 21020/70000 [7:26:18<16:45:27, 1.23s/step] Training: 30%|███ | 21021/70000 [7:26:19<16:55:47, 1.24s/step] Training: 30%|███ | 21022/70000 [7:26:21<16:44:01, 1.23s/step] Training: 30%|███ | 21023/70000 [7:26:22<17:08:33, 1.26s/step] Training: 30%|███ | 21024/70000 [7:26:23<16:50:43, 1.24s/step] Training: 30%|███ | 21025/70000 [7:26:24<17:30:54, 1.29s/step] Training: 30%|███ | 21026/70000 [7:26:26<17:42:17, 1.30s/step] Training: 30%|███ | 21027/70000 [7:26:27<17:15:29, 1.27s/step] Training: 30%|███ | 21028/70000 [7:26:28<16:55:38, 1.24s/step] Training: 30%|███ | 21029/70000 [7:26:29<17:17:47, 1.27s/step] Training: 30%|███ | 21030/70000 [7:26:31<16:57:23, 1.25s/step] Training: 30%|███ | 21031/70000 [7:26:32<16:54:12, 1.24s/step] Training: 30%|███ | 21032/70000 [7:26:33<16:41:32, 1.23s/step] Training: 30%|███ | 21033/70000 [7:26:34<17:06:31, 1.26s/step] Training: 30%|███ | 21034/70000 [7:26:36<17:45:05, 1.31s/step] Training: 30%|███ | 21035/70000 [7:26:37<17:16:44, 1.27s/step] Training: 30%|███ | 21036/70000 [7:26:38<16:57:45, 1.25s/step] Training: 30%|███ | 21037/70000 [7:26:40<17:17:03, 1.27s/step] Training: 30%|███ | 21038/70000 [7:26:41<17:28:34, 1.28s/step] Training: 30%|███ | 21039/70000 [7:26:42<17:08:22, 1.26s/step] Training: 30%|███ | 21040/70000 [7:26:43<16:51:20, 1.24s/step] Training: 30%|███ | 21041/70000 [7:26:45<17:18:53, 1.27s/step] Training: 30%|███ | 21042/70000 [7:26:46<17:05:09, 1.26s/step] Training: 30%|███ | 21043/70000 [7:26:47<16:48:41, 1.24s/step] Training: 30%|███ | 21044/70000 [7:26:48<16:36:48, 1.22s/step] Training: 30%|███ | 21045/70000 [7:26:50<17:10:59, 1.26s/step] Training: 30%|███ | 21046/70000 [7:26:51<17:21:56, 1.28s/step] Training: 30%|███ | 21047/70000 [7:26:52<17:34:19, 1.29s/step] Training: 30%|███ | 21048/70000 [7:26:53<17:09:50, 1.26s/step] Training: 30%|███ | 21049/70000 [7:26:55<17:26:13, 1.28s/step] Training: 30%|███ | 21050/70000 [7:26:56<17:41:01, 1.30s/step] Training: 30%|███ | 21051/70000 [7:26:57<17:11:13, 1.26s/step] Training: 30%|███ | 21052/70000 [7:26:58<16:53:40, 1.24s/step] Training: 30%|███ | 21053/70000 [7:27:00<16:59:03, 1.25s/step] Training: 30%|███ | 21054/70000 [7:27:01<16:46:20, 1.23s/step] Training: 30%|███ | 21055/70000 [7:27:02<17:49:33, 1.31s/step] Training: 30%|███ | 21056/70000 [7:27:04<17:19:25, 1.27s/step] Training: 30%|███ | 21057/70000 [7:27:05<17:39:02, 1.30s/step] Training: 30%|███ | 21058/70000 [7:27:06<17:53:22, 1.32s/step] Training: 30%|███ | 21059/70000 [7:27:08<17:43:28, 1.30s/step] Training: 30%|███ | 21060/70000 [7:27:09<17:16:09, 1.27s/step] Training: 30%|███ | 21061/70000 [7:27:10<17:05:07, 1.26s/step] Training: 30%|███ | 21062/70000 [7:27:11<17:37:58, 1.30s/step] Training: 30%|███ | 21063/70000 [7:27:13<17:20:11, 1.28s/step] Training: 30%|███ | 21064/70000 [7:27:14<16:58:19, 1.25s/step] Training: 30%|███ | 21065/70000 [7:27:15<17:17:30, 1.27s/step] Training: 30%|███ | 21066/70000 [7:27:16<17:31:56, 1.29s/step] Training: 30%|███ | 21067/70000 [7:27:18<17:07:09, 1.26s/step] Training: 30%|███ | 21068/70000 [7:27:19<16:49:59, 1.24s/step] Training: 30%|███ | 21069/70000 [7:27:20<17:15:41, 1.27s/step] Training: 30%|███ | 21070/70000 [7:27:22<18:19:33, 1.35s/step] Training: 30%|███ | 21071/70000 [7:27:23<17:48:16, 1.31s/step] Training: 30%|███ | 21072/70000 [7:27:24<17:19:23, 1.27s/step] Training: 30%|███ | 21073/70000 [7:27:25<17:04:04, 1.26s/step] Training: 30%|███ | 21074/70000 [7:27:27<17:01:20, 1.25s/step] Training: 30%|███ | 21075/70000 [7:27:28<16:45:51, 1.23s/step] Training: 30%|███ | 21076/70000 [7:27:29<16:35:47, 1.22s/step] Training: 30%|███ | 21077/70000 [7:27:30<16:33:10, 1.22s/step] Training: 30%|███ | 21078/70000 [7:27:32<17:55:42, 1.32s/step] Training: 30%|███ | 21079/70000 [7:27:33<18:01:56, 1.33s/step] Training: 30%|███ | 21080/70000 [7:27:34<17:28:35, 1.29s/step] Training: 30%|███ | 21081/70000 [7:27:36<17:42:18, 1.30s/step] Training: 30%|███ | 21082/70000 [7:27:37<17:26:24, 1.28s/step] Training: 30%|███ | 21083/70000 [7:27:38<17:00:59, 1.25s/step] Training: 30%|███ | 21084/70000 [7:27:39<16:47:10, 1.24s/step] Training: 30%|███ | 21085/70000 [7:27:40<16:45:47, 1.23s/step] Training: 30%|███ | 21086/70000 [7:27:42<17:48:22, 1.31s/step] Training: 30%|███ | 21087/70000 [7:27:43<17:56:44, 1.32s/step] Training: 30%|███ | 21088/70000 [7:27:44<17:24:14, 1.28s/step] Training: 30%|███ | 21089/70000 [7:27:46<17:37:15, 1.30s/step] Training: 30%|███ | 21090/70000 [7:27:47<17:11:16, 1.27s/step] Training: 30%|███ | 21091/70000 [7:27:48<17:32:29, 1.29s/step] Training: 30%|███ | 21092/70000 [7:27:50<17:08:41, 1.26s/step] Training: 30%|███ | 21093/70000 [7:27:51<16:50:49, 1.24s/step] Training: 30%|███ | 21094/70000 [7:27:52<17:46:46, 1.31s/step] Training: 30%|███ | 21095/70000 [7:27:53<17:27:38, 1.29s/step] Training: 30%|███ | 21096/70000 [7:27:55<17:03:42, 1.26s/step] Training: 30%|███ | 21097/70000 [7:27:56<16:58:15, 1.25s/step] Training: 30%|███ | 21098/70000 [7:27:57<16:44:03, 1.23s/step] Training: 30%|███ | 21099/70000 [7:27:58<16:59:33, 1.25s/step] Training: 30%|███ | 21100/70000 [7:28:00<16:42:59, 1.23s/step]INFO 2026-03-13 03:37:52 ot_train.py:435 step:21K smpl:1M ep:5K epch:17.88 loss:0.069 grdn:8.177 lr:2.0e-05 updt_s:1.244 data_s:0.019 Training: 30%|███ | 21101/70000 [7:28:01<17:05:45, 1.26s/step] Training: 30%|███ | 21102/70000 [7:28:02<17:30:27, 1.29s/step] Training: 30%|███ | 21103/70000 [7:28:03<17:12:54, 1.27s/step] Training: 30%|███ | 21104/70000 [7:28:05<16:53:47, 1.24s/step] Training: 30%|███ | 21105/70000 [7:28:06<16:42:32, 1.23s/step] Training: 30%|███ | 21106/70000 [7:28:07<16:41:45, 1.23s/step] Training: 30%|███ | 21107/70000 [7:28:08<17:10:15, 1.26s/step] Training: 30%|███ | 21108/70000 [7:28:10<16:48:37, 1.24s/step] Training: 30%|███ | 21109/70000 [7:28:11<16:40:13, 1.23s/step] Training: 30%|███ | 21110/70000 [7:28:12<16:48:33, 1.24s/step] Training: 30%|███ | 21111/70000 [7:28:13<17:12:44, 1.27s/step] Training: 30%|███ | 21112/70000 [7:28:15<16:53:43, 1.24s/step] Training: 30%|███ | 21113/70000 [7:28:16<17:12:45, 1.27s/step] Training: 30%|███ | 21114/70000 [7:28:17<16:56:45, 1.25s/step] Training: 30%|███ | 21115/70000 [7:28:18<17:25:10, 1.28s/step] Training: 30%|███ | 21116/70000 [7:28:20<16:59:44, 1.25s/step] Training: 30%|███ | 21117/70000 [7:28:21<17:19:24, 1.28s/step] Training: 30%|███ | 21118/70000 [7:28:22<17:35:22, 1.30s/step] Training: 30%|███ | 21119/70000 [7:28:24<17:43:57, 1.31s/step] Training: 30%|███ | 21120/70000 [7:28:25<17:15:39, 1.27s/step] Training: 30%|███ | 21121/70000 [7:28:26<17:30:54, 1.29s/step] Training: 30%|███ | 21122/70000 [7:28:27<17:40:05, 1.30s/step] Training: 30%|███ | 21123/70000 [7:28:29<17:12:56, 1.27s/step] Training: 30%|███ | 21124/70000 [7:28:30<17:29:18, 1.29s/step] Training: 30%|███ | 21125/70000 [7:28:31<17:07:32, 1.26s/step] Training: 30%|███ | 21126/70000 [7:28:33<17:25:07, 1.28s/step] Training: 30%|███ | 21127/70000 [7:28:34<17:12:47, 1.27s/step] Training: 30%|███ | 21128/70000 [7:28:35<16:52:48, 1.24s/step] Training: 30%|███ | 21129/70000 [7:28:36<16:49:50, 1.24s/step] Training: 30%|███ | 21130/70000 [7:28:38<17:10:22, 1.27s/step] Training: 30%|███ | 21131/70000 [7:28:39<16:51:33, 1.24s/step] Training: 30%|███ | 21132/70000 [7:28:40<17:16:22, 1.27s/step] Training: 30%|███ | 21133/70000 [7:28:41<17:28:29, 1.29s/step] Training: 30%|███ | 21134/70000 [7:28:43<17:52:06, 1.32s/step] Training: 30%|███ | 21135/70000 [7:28:44<17:25:24, 1.28s/step] Training: 30%|███ | 21136/70000 [7:28:45<17:02:06, 1.26s/step] Training: 30%|███ | 21137/70000 [7:28:46<16:51:04, 1.24s/step] Training: 30%|███ | 21138/70000 [7:28:48<16:47:35, 1.24s/step] Training: 30%|███ | 21139/70000 [7:28:49<16:36:14, 1.22s/step] Training: 30%|███ | 21140/70000 [7:28:50<16:58:43, 1.25s/step] Training: 30%|███ | 21141/70000 [7:28:51<17:16:27, 1.27s/step] Training: 30%|███ | 21142/70000 [7:28:53<17:11:09, 1.27s/step] Training: 30%|███ | 21143/70000 [7:28:54<17:26:56, 1.29s/step] Training: 30%|███ | 21144/70000 [7:28:55<17:03:08, 1.26s/step] Training: 30%|███ | 21145/70000 [7:28:57<17:21:33, 1.28s/step] Training: 30%|███ | 21146/70000 [7:28:58<17:04:08, 1.26s/step] Training: 30%|███ | 21147/70000 [7:28:59<16:48:56, 1.24s/step] Training: 30%|███ | 21148/70000 [7:29:00<17:18:11, 1.28s/step] Training: 30%|███ | 21149/70000 [7:29:01<17:04:14, 1.26s/step] Training: 30%|███ | 21150/70000 [7:29:03<17:20:40, 1.28s/step] Training: 30%|███ | 21151/70000 [7:29:04<17:36:35, 1.30s/step] Training: 30%|███ | 21152/70000 [7:29:05<17:10:17, 1.27s/step] Training: 30%|███ | 21153/70000 [7:29:07<17:28:01, 1.29s/step] Training: 30%|███ | 21154/70000 [7:29:08<17:36:54, 1.30s/step] Training: 30%|███ | 21155/70000 [7:29:09<17:09:49, 1.27s/step] Training: 30%|███ | 21156/70000 [7:29:10<17:02:19, 1.26s/step] Training: 30%|███ | 21157/70000 [7:29:12<16:48:44, 1.24s/step] Training: 30%|███ | 21158/70000 [7:29:13<17:12:36, 1.27s/step] Training: 30%|███ | 21159/70000 [7:29:14<17:03:00, 1.26s/step] Training: 30%|███ | 21160/70000 [7:29:15<16:46:21, 1.24s/step] Training: 30%|███ | 21161/70000 [7:29:17<16:45:03, 1.23s/step] Training: 30%|███ | 21162/70000 [7:29:18<17:07:34, 1.26s/step] Training: 30%|███ | 21163/70000 [7:29:19<16:49:27, 1.24s/step] Training: 30%|███ | 21164/70000 [7:29:20<16:37:06, 1.23s/step] Training: 30%|███ | 21165/70000 [7:29:22<17:33:06, 1.29s/step] Training: 30%|███ | 21166/70000 [7:29:23<17:51:12, 1.32s/step] Training: 30%|███ | 21167/70000 [7:29:24<17:24:30, 1.28s/step] Training: 30%|███ | 21168/70000 [7:29:26<17:01:54, 1.26s/step] Training: 30%|███ | 21169/70000 [7:29:27<16:50:12, 1.24s/step] Training: 30%|███ | 21170/70000 [7:29:28<16:45:05, 1.24s/step] Training: 30%|███ | 21171/70000 [7:29:29<16:33:36, 1.22s/step] Training: 30%|███ | 21172/70000 [7:29:30<16:25:15, 1.21s/step] Training: 30%|███ | 21173/70000 [7:29:32<17:17:50, 1.28s/step] Training: 30%|███ | 21174/70000 [7:29:33<17:11:49, 1.27s/step] Training: 30%|███ | 21175/70000 [7:29:34<17:30:50, 1.29s/step] Training: 30%|███ | 21176/70000 [7:29:36<17:05:20, 1.26s/step] Training: 30%|███ | 21177/70000 [7:29:37<17:21:26, 1.28s/step] Training: 30%|███ | 21178/70000 [7:29:38<17:06:07, 1.26s/step] Training: 30%|███ | 21179/70000 [7:29:39<16:48:11, 1.24s/step] Training: 30%|███ | 21180/70000 [7:29:40<16:35:47, 1.22s/step] Training: 30%|███ | 21181/70000 [7:29:42<17:19:00, 1.28s/step] Training: 30%|███ | 21182/70000 [7:29:43<17:29:01, 1.29s/step] Training: 30%|███ | 21183/70000 [7:29:45<17:41:41, 1.30s/step] Training: 30%|███ | 21184/70000 [7:29:46<17:14:20, 1.27s/step] Training: 30%|███ | 21185/70000 [7:29:47<17:28:08, 1.29s/step] Training: 30%|███ | 21186/70000 [7:29:48<17:38:27, 1.30s/step] Training: 30%|███ | 21187/70000 [7:29:50<17:12:01, 1.27s/step] Training: 30%|███ | 21188/70000 [7:29:51<16:53:51, 1.25s/step] Training: 30%|███ | 21189/70000 [7:29:52<16:42:39, 1.23s/step] Training: 30%|███ | 21190/70000 [7:29:53<17:37:14, 1.30s/step] Training: 30%|███ | 21191/70000 [7:29:55<17:24:51, 1.28s/step] Training: 30%|███ | 21192/70000 [7:29:56<17:01:56, 1.26s/step] Training: 30%|███ | 21193/70000 [7:29:57<16:50:59, 1.24s/step] Training: 30%|███ | 21194/70000 [7:29:58<17:12:25, 1.27s/step] Training: 30%|███ | 21195/70000 [7:30:00<16:53:22, 1.25s/step] Training: 30%|███ | 21196/70000 [7:30:01<16:39:20, 1.23s/step] Training: 30%|███ | 21197/70000 [7:30:02<17:02:26, 1.26s/step] Training: 30%|███ | 21198/70000 [7:30:04<17:54:59, 1.32s/step] Training: 30%|███ | 21199/70000 [7:30:05<17:28:37, 1.29s/step] Training: 30%|███ | 21200/70000 [7:30:06<17:05:52, 1.26s/step]INFO 2026-03-13 03:39:58 ot_train.py:435 step:21K smpl:1M ep:5K epch:17.97 loss:0.072 grdn:8.687 lr:2.0e-05 updt_s:1.244 data_s:0.019 Training: 30%|███ | 21201/70000 [7:30:07<16:56:40, 1.25s/step] Training: 30%|███ | 21202/70000 [7:30:08<16:57:11, 1.25s/step] Training: 30%|███ | 21203/70000 [7:30:10<16:42:02, 1.23s/step] Training: 30%|███ | 21204/70000 [7:30:11<16:35:43, 1.22s/step] Training: 30%|███ | 21205/70000 [7:30:12<17:07:11, 1.26s/step] Training: 30%|███ | 21206/70000 [7:30:13<17:03:28, 1.26s/step] Training: 30%|███ | 21207/70000 [7:30:15<17:21:49, 1.28s/step] Training: 30%|███ | 21208/70000 [7:30:16<17:00:42, 1.26s/step] Training: 30%|███ | 21209/70000 [7:30:17<16:45:53, 1.24s/step] Training: 30%|███ | 21210/70000 [7:30:19<17:03:30, 1.26s/step] Training: 30%|███ | 21211/70000 [7:30:20<16:48:20, 1.24s/step] Training: 30%|███ | 21212/70000 [7:30:21<16:35:51, 1.22s/step] Training: 30%|███ | 21213/70000 [7:30:22<16:36:43, 1.23s/step] Training: 30%|███ | 21214/70000 [7:30:23<17:10:59, 1.27s/step] Training: 30%|███ | 21215/70000 [7:30:25<17:32:48, 1.29s/step] Training: 30%|███ | 21216/70000 [7:30:26<17:06:55, 1.26s/step] Training: 30%|███ | 21217/70000 [7:30:27<17:22:09, 1.28s/step] Training: 30%|███ | 21218/70000 [7:30:29<17:34:49, 1.30s/step] Training: 30%|███ | 21219/70000 [7:30:30<17:09:59, 1.27s/step] Training: 30%|███ | 21220/70000 [7:30:31<16:49:25, 1.24s/step] Training: 30%|███ | 21221/70000 [7:30:32<16:41:33, 1.23s/step] Training: 30%|███ | 21222/70000 [7:30:34<17:06:16, 1.26s/step] Training: 30%|███ | 21223/70000 [7:30:35<17:02:06, 1.26s/step] Training: 30%|███ | 21224/70000 [7:30:36<16:44:34, 1.24s/step] Training: 30%|███ | 21225/70000 [7:30:37<16:36:43, 1.23s/step] Training: 30%|███ | 21226/70000 [7:30:39<17:03:43, 1.26s/step] Training: 30%|███ | 21227/70000 [7:30:40<16:46:13, 1.24s/step] Training: 30%|███ | 21228/70000 [7:30:41<16:33:59, 1.22s/step] Training: 30%|███ | 21229/70000 [7:30:42<16:26:27, 1.21s/step] Training: 30%|███ | 21230/70000 [7:30:44<17:22:17, 1.28s/step] Training: 30%|███ | 21231/70000 [7:30:45<17:38:42, 1.30s/step] Training: 30%|███ | 21232/70000 [7:30:46<17:08:15, 1.27s/step] Training: 30%|███ | 21233/70000 [7:30:47<16:58:00, 1.25s/step] Training: 30%|███ | 21234/70000 [7:30:49<16:53:00, 1.25s/step] Training: 30%|███ | 21235/70000 [7:30:50<16:38:42, 1.23s/step] Training: 30%|███ | 21236/70000 [7:30:51<16:28:29, 1.22s/step] Training: 30%|███ | 21237/70000 [7:30:52<16:21:27, 1.21s/step] Training: 30%|███ | 21238/70000 [7:30:53<16:36:06, 1.23s/step] Training: 30%|███ | 21239/70000 [7:30:55<17:21:06, 1.28s/step] Training: 30%|███ | 21240/70000 [7:30:57<21:01:31, 1.55s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=3188 Training: 30%|███ | 21241/70000 [7:31:01<29:42:35, 2.19s/step] Training: 30%|███ | 21242/70000 [7:31:02<26:21:28, 1.95s/step] Training: 30%|███ | 21243/70000 [7:31:03<23:17:51, 1.72s/step] Training: 30%|███ | 21244/70000 [7:31:04<21:09:29, 1.56s/step] Training: 30%|███ | 21245/70000 [7:31:06<19:38:37, 1.45s/step] Training: 30%|███ | 21246/70000 [7:31:07<19:23:49, 1.43s/step] Training: 30%|███ | 21247/70000 [7:31:08<18:53:05, 1.39s/step] Training: 30%|███ | 21248/70000 [7:31:10<18:49:07, 1.39s/step] Training: 30%|███ | 21249/70000 [7:31:11<18:01:20, 1.33s/step] Training: 30%|███ | 21250/70000 [7:31:12<18:03:38, 1.33s/step] Training: 30%|███ | 21251/70000 [7:31:13<17:28:03, 1.29s/step] Training: 30%|███ | 21252/70000 [7:31:15<17:02:46, 1.26s/step] Training: 30%|███ | 21253/70000 [7:31:16<16:45:20, 1.24s/step] Training: 30%|███ | 21254/70000 [7:31:17<17:10:15, 1.27s/step] Training: 30%|███ | 21255/70000 [7:31:18<16:51:25, 1.24s/step] Training: 30%|███ | 21256/70000 [7:31:20<17:21:32, 1.28s/step] Training: 30%|███ | 21257/70000 [7:31:21<17:03:19, 1.26s/step] Training: 30%|███ | 21258/70000 [7:31:22<17:22:26, 1.28s/step] Training: 30%|███ | 21259/70000 [7:31:23<16:59:59, 1.26s/step] Training: 30%|███ | 21260/70000 [7:31:25<16:43:18, 1.24s/step] Training: 30%|███ | 21261/70000 [7:31:26<16:31:52, 1.22s/step] Training: 30%|███ | 21262/70000 [7:31:27<17:12:42, 1.27s/step] Training: 30%|███ | 21263/70000 [7:31:28<16:54:19, 1.25s/step] Training: 30%|███ | 21264/70000 [7:31:30<17:09:00, 1.27s/step] Training: 30%|███ | 21265/70000 [7:31:31<16:53:08, 1.25s/step] Training: 30%|███ | 21266/70000 [7:31:32<16:46:26, 1.24s/step] Training: 30%|███ | 21267/70000 [7:31:33<16:34:03, 1.22s/step] Training: 30%|███ | 21268/70000 [7:31:35<16:26:04, 1.21s/step] Training: 30%|███ | 21269/70000 [7:31:36<16:19:51, 1.21s/step] Training: 30%|███ | 21270/70000 [7:31:37<16:29:16, 1.22s/step] Training: 30%|███ | 21271/70000 [7:31:38<16:23:45, 1.21s/step] Training: 30%|███ | 21272/70000 [7:31:40<17:22:34, 1.28s/step] Training: 30%|███ | 21273/70000 [7:31:41<17:32:53, 1.30s/step] Training: 30%|███ | 21274/70000 [7:31:42<17:14:41, 1.27s/step] Training: 30%|███ | 21275/70000 [7:31:43<16:53:48, 1.25s/step] Training: 30%|███ | 21276/70000 [7:31:45<16:39:20, 1.23s/step] Training: 30%|███ | 21277/70000 [7:31:46<16:28:56, 1.22s/step] Training: 30%|███ | 21278/70000 [7:31:47<17:02:53, 1.26s/step] Training: 30%|███ | 21279/70000 [7:31:48<16:46:02, 1.24s/step] Training: 30%|███ | 21280/70000 [7:31:50<17:08:12, 1.27s/step] Training: 30%|███ | 21281/70000 [7:31:51<17:49:42, 1.32s/step] Training: 30%|███ | 21282/70000 [7:31:52<17:50:31, 1.32s/step] Training: 30%|███ | 21283/70000 [7:31:54<17:18:51, 1.28s/step] Training: 30%|███ | 21284/70000 [7:31:55<16:56:32, 1.25s/step] Training: 30%|███ | 21285/70000 [7:31:56<16:41:19, 1.23s/step] Training: 30%|███ | 21286/70000 [7:31:57<17:05:04, 1.26s/step] Training: 30%|███ | 21287/70000 [7:31:58<16:48:58, 1.24s/step] Training: 30%|███ | 21288/70000 [7:32:00<16:44:11, 1.24s/step] Training: 30%|███ | 21289/70000 [7:32:01<17:13:11, 1.27s/step] Training: 30%|███ | 21290/70000 [7:32:02<17:24:17, 1.29s/step] Training: 30%|███ | 21291/70000 [7:32:04<17:01:05, 1.26s/step] Training: 30%|███ | 21292/70000 [7:32:05<16:44:46, 1.24s/step] Training: 30%|███ | 21293/70000 [7:32:06<16:32:41, 1.22s/step] Training: 30%|███ | 21294/70000 [7:32:07<17:10:44, 1.27s/step] Training: 30%|███ | 21295/70000 [7:32:08<16:52:35, 1.25s/step] Training: 30%|███ | 21296/70000 [7:32:10<17:13:23, 1.27s/step] Training: 30%|███ | 21297/70000 [7:32:11<17:01:49, 1.26s/step] Training: 30%|███ | 21298/70000 [7:32:12<16:53:41, 1.25s/step] Training: 30%|███ | 21299/70000 [7:32:13<16:38:36, 1.23s/step] Training: 30%|███ | 21300/70000 [7:32:15<16:30:26, 1.22s/step]INFO 2026-03-13 03:42:07 ot_train.py:435 step:21K smpl:1M ep:5K epch:18.05 loss:0.061 grdn:7.516 lr:2.0e-05 updt_s:1.231 data_s:0.053 Training: 30%|███ | 21301/70000 [7:32:16<16:23:03, 1.21s/step] Training: 30%|███ | 21302/70000 [7:32:17<16:36:47, 1.23s/step] Training: 30%|███ | 21303/70000 [7:32:18<17:01:37, 1.26s/step] Training: 30%|███ | 21304/70000 [7:32:20<17:20:53, 1.28s/step] Training: 30%|███ | 21305/70000 [7:32:21<17:39:37, 1.31s/step] Training: 30%|███ | 21306/70000 [7:32:22<17:15:52, 1.28s/step] Training: 30%|███ | 21307/70000 [7:32:24<16:54:37, 1.25s/step] Training: 30%|███ | 21308/70000 [7:32:25<16:40:05, 1.23s/step] Training: 30%|███ | 21309/70000 [7:32:26<16:29:30, 1.22s/step] Training: 30%|███ | 21310/70000 [7:32:27<16:56:26, 1.25s/step] Training: 30%|███ | 21311/70000 [7:32:29<17:15:27, 1.28s/step] Training: 30%|███ | 21312/70000 [7:32:30<17:27:37, 1.29s/step] Training: 30%|███ | 21313/70000 [7:32:31<17:37:00, 1.30s/step] Training: 30%|███ | 21314/70000 [7:32:33<17:43:28, 1.31s/step] Training: 30%|███ | 21315/70000 [7:32:34<17:13:44, 1.27s/step] Training: 30%|███ | 21316/70000 [7:32:35<16:52:54, 1.25s/step] Training: 30%|███ | 21317/70000 [7:32:36<16:38:28, 1.23s/step] Training: 30%|███ | 21318/70000 [7:32:37<17:06:49, 1.27s/step] Training: 30%|███ | 21319/70000 [7:32:39<16:49:01, 1.24s/step] Training: 30%|███ | 21320/70000 [7:32:40<16:40:48, 1.23s/step] Training: 30%|███ | 21321/70000 [7:32:41<16:43:35, 1.24s/step] Training: 30%|███ | 21322/70000 [7:32:43<17:36:37, 1.30s/step] Training: 30%|███ | 21323/70000 [7:32:44<17:08:44, 1.27s/step] Training: 30%|███ | 21324/70000 [7:32:45<16:50:51, 1.25s/step] Training: 30%|███ | 21325/70000 [7:32:46<16:36:25, 1.23s/step] Training: 30%|███ | 21326/70000 [7:32:48<17:15:46, 1.28s/step] Training: 30%|███ | 21327/70000 [7:32:49<16:55:12, 1.25s/step] Training: 30%|███ | 21328/70000 [7:32:50<17:12:43, 1.27s/step] Training: 30%|███ | 21329/70000 [7:32:51<16:56:55, 1.25s/step] Training: 30%|███ | 21330/70000 [7:32:53<16:57:55, 1.25s/step] Training: 30%|███ | 21331/70000 [7:32:54<16:41:35, 1.23s/step] Training: 30%|███ | 21332/70000 [7:32:55<16:30:35, 1.22s/step] Training: 30%|███ | 21333/70000 [7:32:56<16:23:11, 1.21s/step] Training: 30%|███ | 21334/70000 [7:32:57<17:04:28, 1.26s/step] Training: 30%|███ | 21335/70000 [7:32:59<16:47:40, 1.24s/step] Training: 30%|███ | 21336/70000 [7:33:00<17:09:31, 1.27s/step] Training: 30%|███ | 21337/70000 [7:33:01<17:23:26, 1.29s/step] Training: 30%|███ | 21338/70000 [7:33:03<17:05:38, 1.26s/step] Training: 30%|███ | 21339/70000 [7:33:04<17:25:54, 1.29s/step] Training: 30%|███ | 21340/70000 [7:33:05<17:00:09, 1.26s/step] Training: 30%|███ | 21341/70000 [7:33:06<16:43:21, 1.24s/step] Training: 30%|███ | 21342/70000 [7:33:08<17:09:35, 1.27s/step] Training: 30%|███ | 21343/70000 [7:33:09<16:50:01, 1.25s/step] Training: 30%|███ | 21344/70000 [7:33:10<17:10:19, 1.27s/step] Training: 30%|███ | 21345/70000 [7:33:11<16:50:58, 1.25s/step] Training: 30%|███ | 21346/70000 [7:33:13<17:44:07, 1.31s/step] Training: 30%|███ | 21347/70000 [7:33:14<17:12:22, 1.27s/step] Training: 30%|███ | 21348/70000 [7:33:15<16:51:53, 1.25s/step] Training: 30%|███ | 21349/70000 [7:33:16<16:37:39, 1.23s/step] Training: 30%|███ | 21350/70000 [7:33:18<17:01:50, 1.26s/step] Training: 31%|███ | 21351/70000 [7:33:19<16:44:31, 1.24s/step] Training: 31%|███ | 21352/70000 [7:33:20<16:37:08, 1.23s/step] Training: 31%|███ | 21353/70000 [7:33:21<16:27:57, 1.22s/step] Training: 31%|███ | 21354/70000 [7:33:23<17:19:01, 1.28s/step] Training: 31%|███ | 21355/70000 [7:33:24<17:34:26, 1.30s/step] Training: 31%|███ | 21356/70000 [7:33:25<17:04:51, 1.26s/step] Training: 31%|███ | 21357/70000 [7:33:26<16:47:58, 1.24s/step] Training: 31%|███ | 21358/70000 [7:33:28<17:17:34, 1.28s/step] Training: 31%|███ | 21359/70000 [7:33:29<16:55:48, 1.25s/step] Training: 31%|███ | 21360/70000 [7:33:30<17:15:52, 1.28s/step] Training: 31%|███ | 21361/70000 [7:33:31<16:54:54, 1.25s/step] Training: 31%|███ | 21362/70000 [7:33:33<16:49:33, 1.25s/step] Training: 31%|███ | 21363/70000 [7:33:34<17:13:24, 1.27s/step] Training: 31%|███ | 21364/70000 [7:33:35<16:50:47, 1.25s/step] Training: 31%|███ | 21365/70000 [7:33:36<16:36:19, 1.23s/step] Training: 31%|███ | 21366/70000 [7:33:38<17:09:36, 1.27s/step] Training: 31%|███ | 21367/70000 [7:33:39<16:49:52, 1.25s/step] Training: 31%|███ | 21368/70000 [7:33:40<17:10:36, 1.27s/step] Training: 31%|███ | 21369/70000 [7:33:42<16:50:17, 1.25s/step] Training: 31%|███ | 21370/70000 [7:33:43<16:46:38, 1.24s/step] Training: 31%|███ | 21371/70000 [7:33:44<16:34:16, 1.23s/step] Training: 31%|███ | 21372/70000 [7:33:45<16:24:17, 1.21s/step] Training: 31%|███ | 21373/70000 [7:33:46<16:18:04, 1.21s/step] Training: 31%|███ | 21374/70000 [7:33:48<16:57:35, 1.26s/step] Training: 31%|███ | 21375/70000 [7:33:49<16:42:04, 1.24s/step] Training: 31%|███ | 21376/70000 [7:33:50<17:08:33, 1.27s/step] Training: 31%|███ | 21377/70000 [7:33:51<16:49:17, 1.25s/step] Training: 31%|███ | 21378/70000 [7:33:53<17:08:13, 1.27s/step] Training: 31%|███ | 21379/70000 [7:33:54<17:25:11, 1.29s/step] Training: 31%|███ | 21380/70000 [7:33:55<16:59:00, 1.26s/step] Training: 31%|███ | 21381/70000 [7:33:56<16:42:32, 1.24s/step] Training: 31%|███ | 21382/70000 [7:33:58<17:06:01, 1.27s/step] Training: 31%|███ | 21383/70000 [7:33:59<16:48:29, 1.24s/step] Training: 31%|███ | 21384/70000 [7:34:00<16:37:26, 1.23s/step] Training: 31%|███ | 21385/70000 [7:34:01<16:28:26, 1.22s/step] Training: 31%|███ | 21386/70000 [7:34:03<16:24:42, 1.22s/step] Training: 31%|███ | 21387/70000 [7:34:04<16:48:05, 1.24s/step] Training: 31%|███ | 21388/70000 [7:34:05<16:32:27, 1.22s/step] Training: 31%|███ | 21389/70000 [7:34:06<16:24:11, 1.21s/step] Training: 31%|███ | 21390/70000 [7:34:08<17:01:31, 1.26s/step] Training: 31%|███ | 21391/70000 [7:34:09<17:16:02, 1.28s/step] Training: 31%|███ | 21392/70000 [7:34:10<17:32:20, 1.30s/step] Training: 31%|███ | 21393/70000 [7:34:11<17:05:51, 1.27s/step] Training: 31%|███ | 21394/70000 [7:34:13<17:20:30, 1.28s/step] Training: 31%|███ | 21395/70000 [7:34:14<17:05:53, 1.27s/step] Training: 31%|███ | 21396/70000 [7:34:15<17:25:51, 1.29s/step] Training: 31%|███ | 21397/70000 [7:34:17<16:59:37, 1.26s/step] Training: 31%|███ | 21398/70000 [7:34:18<17:15:00, 1.28s/step] Training: 31%|███ | 21399/70000 [7:34:19<17:19:04, 1.28s/step] Training: 31%|███ | 21400/70000 [7:34:21<17:37:37, 1.31s/step]INFO 2026-03-13 03:44:13 ot_train.py:435 step:21K smpl:1M ep:5K epch:18.14 loss:0.062 grdn:7.842 lr:2.0e-05 updt_s:1.237 data_s:0.019 Training: 31%|███ | 21401/70000 [7:34:22<17:09:56, 1.27s/step] Training: 31%|███ | 21402/70000 [7:34:23<17:24:42, 1.29s/step] Training: 31%|███ | 21403/70000 [7:34:24<17:36:48, 1.30s/step] Training: 31%|███ | 21404/70000 [7:34:26<17:37:32, 1.31s/step] Training: 31%|███ | 21405/70000 [7:34:27<17:06:33, 1.27s/step] Training: 31%|███ | 21406/70000 [7:34:28<17:33:51, 1.30s/step] Training: 31%|███ | 21407/70000 [7:34:29<17:07:41, 1.27s/step] Training: 31%|███ | 21408/70000 [7:34:31<17:22:07, 1.29s/step] Training: 31%|███ | 21409/70000 [7:34:32<16:59:02, 1.26s/step] Training: 31%|███ | 21410/70000 [7:34:33<16:54:54, 1.25s/step] Training: 31%|███ | 21411/70000 [7:34:35<17:10:12, 1.27s/step] Training: 31%|███ | 21412/70000 [7:34:36<17:31:29, 1.30s/step] Training: 31%|███ | 21413/70000 [7:34:37<17:02:54, 1.26s/step] Training: 31%|███ | 21414/70000 [7:34:38<17:21:30, 1.29s/step] Training: 31%|███ | 21415/70000 [7:34:40<17:24:23, 1.29s/step] Training: 31%|███ | 21416/70000 [7:34:41<17:08:00, 1.27s/step] Training: 31%|███ | 21417/70000 [7:34:42<16:50:13, 1.25s/step] Training: 31%|███ | 21418/70000 [7:34:43<16:42:52, 1.24s/step] Training: 31%|███ | 21419/70000 [7:34:45<17:06:09, 1.27s/step] Training: 31%|███ | 21420/70000 [7:34:46<17:27:08, 1.29s/step] Training: 31%|███ | 21421/70000 [7:34:47<17:00:34, 1.26s/step] Training: 31%|███ | 21422/70000 [7:34:49<17:27:52, 1.29s/step] Training: 31%|███ | 21423/70000 [7:34:50<17:37:52, 1.31s/step] Training: 31%|███ | 21424/70000 [7:34:51<17:44:01, 1.31s/step] Training: 31%|███ | 21425/70000 [7:34:52<17:13:12, 1.28s/step] Training: 31%|███ | 21426/70000 [7:34:54<17:27:19, 1.29s/step] Training: 31%|███ | 21427/70000 [7:34:55<17:11:29, 1.27s/step] Training: 31%|███ | 21428/70000 [7:34:56<16:50:49, 1.25s/step] Training: 31%|███ | 21429/70000 [7:34:58<17:14:37, 1.28s/step] Training: 31%|███ | 21430/70000 [7:34:59<17:23:48, 1.29s/step] Training: 31%|███ | 21431/70000 [7:35:00<17:04:44, 1.27s/step] Training: 31%|███ | 21432/70000 [7:35:01<17:22:19, 1.29s/step] Training: 31%|███ | 21433/70000 [7:35:03<16:59:39, 1.26s/step] Training: 31%|███ | 21434/70000 [7:35:04<17:14:19, 1.28s/step] Training: 31%|███ | 21435/70000 [7:35:05<17:25:02, 1.29s/step] Training: 31%|███ | 21436/70000 [7:35:06<17:00:22, 1.26s/step] Training: 31%|███ | 21437/70000 [7:35:08<17:21:35, 1.29s/step] Training: 31%|███ | 21438/70000 [7:35:09<17:41:34, 1.31s/step] Training: 31%|███ | 21439/70000 [7:35:10<17:44:32, 1.32s/step] Training: 31%|███ | 21440/70000 [7:35:12<17:48:46, 1.32s/step] Training: 31%|███ | 21441/70000 [7:35:13<17:17:20, 1.28s/step] Training: 31%|███ | 21442/70000 [7:35:14<17:03:15, 1.26s/step] Training: 31%|███ | 21443/70000 [7:35:16<17:21:05, 1.29s/step] Training: 31%|███ | 21444/70000 [7:35:17<16:57:08, 1.26s/step] Training: 31%|███ | 21445/70000 [7:35:18<16:48:26, 1.25s/step] Training: 31%|███ | 21446/70000 [7:35:19<17:12:15, 1.28s/step] Training: 31%|███ | 21447/70000 [7:35:21<17:25:07, 1.29s/step] Training: 31%|███ | 21448/70000 [7:35:22<17:06:10, 1.27s/step] Training: 31%|███ | 21449/70000 [7:35:23<16:47:21, 1.24s/step] Training: 31%|███ | 21450/70000 [7:35:24<16:38:26, 1.23s/step] Training: 31%|███ | 21451/70000 [7:35:25<16:35:15, 1.23s/step] Training: 31%|███ | 21452/70000 [7:35:27<16:26:15, 1.22s/step] Training: 31%|███ | 21453/70000 [7:35:28<16:35:10, 1.23s/step] Training: 31%|███ | 21454/70000 [7:35:29<17:03:56, 1.27s/step] Training: 31%|███ | 21455/70000 [7:35:31<16:54:37, 1.25s/step] Training: 31%|███ | 21456/70000 [7:35:32<17:15:36, 1.28s/step] Training: 31%|███ | 21457/70000 [7:35:33<16:53:13, 1.25s/step] Training: 31%|███ | 21458/70000 [7:35:34<17:11:02, 1.27s/step] Training: 31%|███ | 21459/70000 [7:35:36<17:02:06, 1.26s/step] Training: 31%|███ | 21460/70000 [7:35:37<16:44:14, 1.24s/step] Training: 31%|███ | 21461/70000 [7:35:38<16:31:57, 1.23s/step] Training: 31%|███ | 21462/70000 [7:35:39<17:28:50, 1.30s/step] Training: 31%|███ | 21463/70000 [7:35:41<17:08:01, 1.27s/step] Training: 31%|███ | 21464/70000 [7:35:42<17:26:45, 1.29s/step] Training: 31%|███ | 21465/70000 [7:35:43<17:02:04, 1.26s/step] Training: 31%|███ | 21466/70000 [7:35:45<17:16:11, 1.28s/step] Training: 31%|███ | 21467/70000 [7:35:46<16:55:02, 1.25s/step] Training: 31%|███ | 21468/70000 [7:35:47<17:08:18, 1.27s/step] Training: 31%|███ | 21469/70000 [7:35:48<16:49:05, 1.25s/step] Training: 31%|███ | 21470/70000 [7:35:50<17:29:07, 1.30s/step] Training: 31%|███ | 21471/70000 [7:35:51<17:37:24, 1.31s/step] Training: 31%|███ | 21472/70000 [7:35:52<17:42:26, 1.31s/step] Training: 31%|███ | 21473/70000 [7:35:53<17:11:39, 1.28s/step] Training: 31%|███ | 21474/70000 [7:35:55<16:57:32, 1.26s/step] Training: 31%|███ | 21475/70000 [7:35:56<16:41:19, 1.24s/step] Training: 31%|███ | 21476/70000 [7:35:57<16:30:23, 1.22s/step] Training: 31%|███ | 21477/70000 [7:35:58<16:21:43, 1.21s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=3188 Training: 31%|███ | 21478/70000 [7:36:00<16:53:30, 1.25s/step] Training: 31%|███ | 21479/70000 [7:36:01<17:37:43, 1.31s/step] Training: 31%|███ | 21480/70000 [7:36:02<17:14:00, 1.28s/step] Training: 31%|███ | 21481/70000 [7:36:03<16:51:57, 1.25s/step] Training: 31%|███ | 21482/70000 [7:36:05<16:42:45, 1.24s/step] Training: 31%|███ | 21483/70000 [7:36:06<16:39:28, 1.24s/step] Training: 31%|███ | 21484/70000 [7:36:07<16:28:11, 1.22s/step] Training: 31%|███ | 21485/70000 [7:36:08<16:20:07, 1.21s/step] Training: 31%|███ | 21486/70000 [7:36:10<17:02:06, 1.26s/step] Training: 31%|███ | 21487/70000 [7:36:11<17:14:17, 1.28s/step] Training: 31%|███ | 21488/70000 [7:36:12<17:32:13, 1.30s/step] Training: 31%|███ | 21489/70000 [7:36:13<17:05:06, 1.27s/step] Training: 31%|███ | 21490/70000 [7:36:15<17:18:36, 1.28s/step] Training: 31%|███ | 21491/70000 [7:36:16<16:59:07, 1.26s/step] Training: 31%|███ | 21492/70000 [7:36:17<16:42:56, 1.24s/step] Training: 31%|███ | 21493/70000 [7:36:18<16:31:52, 1.23s/step] Training: 31%|███ | 21494/70000 [7:36:20<16:57:45, 1.26s/step] Training: 31%|███ | 21495/70000 [7:36:21<17:18:50, 1.29s/step] Training: 31%|███ | 21496/70000 [7:36:22<17:27:24, 1.30s/step] Training: 31%|███ | 21497/70000 [7:36:24<17:01:40, 1.26s/step] Training: 31%|███ | 21498/70000 [7:36:25<17:18:56, 1.29s/step] Training: 31%|███ | 21499/70000 [7:36:26<16:55:23, 1.26s/step] Training: 31%|███ | 21500/70000 [7:36:27<17:09:43, 1.27s/step]INFO 2026-03-13 03:46:20 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.22 loss:0.061 grdn:7.196 lr:2.0e-05 updt_s:1.248 data_s:0.019 Training: 31%|███ | 21501/70000 [7:36:29<16:48:19, 1.25s/step] Training: 31%|███ | 21502/70000 [7:36:30<17:18:48, 1.29s/step] Training: 31%|███ | 21503/70000 [7:36:31<17:47:10, 1.32s/step] Training: 31%|███ | 21504/70000 [7:36:33<17:51:06, 1.33s/step] Training: 31%|███ | 21505/70000 [7:36:34<17:18:09, 1.28s/step] Training: 31%|███ | 21506/70000 [7:36:35<17:03:06, 1.27s/step] Training: 31%|███ | 21507/70000 [7:36:36<16:44:28, 1.24s/step] Training: 31%|███ | 21508/70000 [7:36:38<16:47:44, 1.25s/step] Training: 31%|███ | 21509/70000 [7:36:39<16:39:23, 1.24s/step] Training: 31%|███ | 21510/70000 [7:36:40<17:03:16, 1.27s/step] Training: 31%|███ | 21511/70000 [7:36:42<17:45:58, 1.32s/step] Training: 31%|███ | 21512/70000 [7:36:43<17:23:04, 1.29s/step] Training: 31%|███ | 21513/70000 [7:36:44<16:59:13, 1.26s/step] Training: 31%|███ | 21514/70000 [7:36:45<16:46:30, 1.25s/step] Training: 31%|███ | 21515/70000 [7:36:46<16:32:38, 1.23s/step] Training: 31%|███ | 21516/70000 [7:36:48<16:28:38, 1.22s/step] Training: 31%|███ | 21517/70000 [7:36:49<16:20:23, 1.21s/step] Training: 31%|███ | 21518/70000 [7:36:50<16:49:54, 1.25s/step] Training: 31%|███ | 21519/70000 [7:36:51<17:04:23, 1.27s/step] Training: 31%|███ | 21520/70000 [7:36:53<17:20:18, 1.29s/step] Training: 31%|███ | 21521/70000 [7:36:54<16:56:22, 1.26s/step] Training: 31%|███ | 21522/70000 [7:36:55<17:13:56, 1.28s/step] Training: 31%|███ | 21523/70000 [7:36:56<16:52:22, 1.25s/step] Training: 31%|███ | 21524/70000 [7:36:58<17:12:26, 1.28s/step] Training: 31%|███ | 21525/70000 [7:36:59<16:51:43, 1.25s/step] Training: 31%|███ | 21526/70000 [7:37:00<17:34:40, 1.31s/step] Training: 31%|███ | 21527/70000 [7:37:02<17:16:02, 1.28s/step] Training: 31%|███ | 21528/70000 [7:37:03<17:53:22, 1.33s/step] Training: 31%|███ | 21529/70000 [7:37:04<17:20:44, 1.29s/step] Training: 31%|███ | 21530/70000 [7:37:06<17:31:11, 1.30s/step] Training: 31%|███ | 21531/70000 [7:37:07<17:05:59, 1.27s/step] Training: 31%|███ | 21532/70000 [7:37:08<17:17:10, 1.28s/step] Training: 31%|███ | 21533/70000 [7:37:09<16:54:34, 1.26s/step] Training: 31%|███ | 21534/70000 [7:37:11<17:13:24, 1.28s/step] Training: 31%|███ | 21535/70000 [7:37:12<17:53:16, 1.33s/step] Training: 31%|███ | 21536/70000 [7:37:13<17:51:03, 1.33s/step] Training: 31%|███ | 21537/70000 [7:37:15<17:18:19, 1.29s/step] Training: 31%|███ | 21538/70000 [7:37:16<17:06:19, 1.27s/step] Training: 31%|███ | 21539/70000 [7:37:17<16:46:15, 1.25s/step] Training: 31%|███ | 21540/70000 [7:37:18<17:08:59, 1.27s/step] Training: 31%|███ | 21541/70000 [7:37:20<16:49:00, 1.25s/step] Training: 31%|███ | 21542/70000 [7:37:21<17:09:42, 1.27s/step] Training: 31%|███ | 21543/70000 [7:37:22<17:24:35, 1.29s/step] Training: 31%|███ | 21544/70000 [7:37:24<17:37:42, 1.31s/step] Training: 31%|███ | 21545/70000 [7:37:25<17:06:18, 1.27s/step] Training: 31%|███ | 21546/70000 [7:37:26<16:51:54, 1.25s/step] Training: 31%|███ | 21547/70000 [7:37:27<16:36:51, 1.23s/step] Training: 31%|███ | 21548/70000 [7:37:28<16:29:53, 1.23s/step] Training: 31%|███ | 21549/70000 [7:37:30<16:21:30, 1.22s/step] Training: 31%|███ | 21550/70000 [7:37:31<16:32:04, 1.23s/step] Training: 31%|███ | 21551/70000 [7:37:32<16:34:55, 1.23s/step] Training: 31%|███ | 21552/70000 [7:37:34<17:27:46, 1.30s/step] Training: 31%|███ | 21553/70000 [7:37:35<17:01:31, 1.27s/step] Training: 31%|███ | 21554/70000 [7:37:36<17:18:09, 1.29s/step] Training: 31%|███ | 21555/70000 [7:37:37<16:55:05, 1.26s/step] Training: 31%|███ | 21556/70000 [7:37:39<17:15:37, 1.28s/step] Training: 31%|███ | 21557/70000 [7:37:40<16:53:16, 1.26s/step] Training: 31%|███ | 21558/70000 [7:37:41<17:14:48, 1.28s/step] Training: 31%|███ | 21559/70000 [7:37:42<17:29:00, 1.30s/step] Training: 31%|███ | 21560/70000 [7:37:44<17:36:13, 1.31s/step] Training: 31%|███ | 21561/70000 [7:37:45<17:07:48, 1.27s/step] Training: 31%|███ | 21562/70000 [7:37:46<17:21:16, 1.29s/step] Training: 31%|███ | 21563/70000 [7:37:48<16:56:53, 1.26s/step] Training: 31%|███ | 21564/70000 [7:37:49<17:13:19, 1.28s/step] Training: 31%|███ | 21565/70000 [7:37:50<16:51:12, 1.25s/step] Training: 31%|███ | 21566/70000 [7:37:51<17:12:12, 1.28s/step] Training: 31%|███ | 21567/70000 [7:37:53<17:22:25, 1.29s/step] Training: 31%|███ | 21568/70000 [7:37:54<17:39:56, 1.31s/step] Training: 31%|███ | 21569/70000 [7:37:55<17:09:35, 1.28s/step] Training: 31%|███ | 21570/70000 [7:37:56<16:56:18, 1.26s/step] Training: 31%|███ | 21571/70000 [7:37:58<16:39:24, 1.24s/step] Training: 31%|███ | 21572/70000 [7:37:59<17:01:47, 1.27s/step] Training: 31%|███ | 21573/70000 [7:38:00<16:44:01, 1.24s/step] Training: 31%|███ | 21574/70000 [7:38:02<17:07:12, 1.27s/step] Training: 31%|███ | 21575/70000 [7:38:03<17:27:05, 1.30s/step] Training: 31%|███ | 21576/70000 [7:38:04<17:21:44, 1.29s/step] Training: 31%|███ | 21577/70000 [7:38:05<16:55:41, 1.26s/step] Training: 31%|███ | 21578/70000 [7:38:07<16:43:47, 1.24s/step] Training: 31%|███ | 21579/70000 [7:38:08<16:31:19, 1.23s/step] Training: 31%|███ | 21580/70000 [7:38:09<16:27:11, 1.22s/step] Training: 31%|███ | 21581/70000 [7:38:10<16:19:34, 1.21s/step] Training: 31%|███ | 21582/70000 [7:38:11<16:34:47, 1.23s/step] Training: 31%|███ | 21583/70000 [7:38:13<16:31:50, 1.23s/step] Training: 31%|███ | 21584/70000 [7:38:14<16:55:20, 1.26s/step] Training: 31%|███ | 21585/70000 [7:38:15<17:18:28, 1.29s/step] Training: 31%|███ | 21586/70000 [7:38:17<17:26:09, 1.30s/step] Training: 31%|███ | 21587/70000 [7:38:18<17:00:44, 1.27s/step] Training: 31%|███ | 21588/70000 [7:38:19<17:16:30, 1.28s/step] Training: 31%|███ | 21589/70000 [7:38:20<16:51:57, 1.25s/step] Training: 31%|███ | 21590/70000 [7:38:22<17:13:22, 1.28s/step] Training: 31%|███ | 21591/70000 [7:38:23<17:24:31, 1.29s/step] Training: 31%|███ | 21592/70000 [7:38:24<17:32:44, 1.30s/step] Training: 31%|███ | 21593/70000 [7:38:26<17:24:40, 1.29s/step] Training: 31%|███ | 21594/70000 [7:38:27<17:31:21, 1.30s/step] Training: 31%|███ | 21595/70000 [7:38:28<17:04:39, 1.27s/step] Training: 31%|███ | 21596/70000 [7:38:29<17:17:42, 1.29s/step] Training: 31%|███ | 21597/70000 [7:38:31<16:54:23, 1.26s/step] Training: 31%|███ | 21598/70000 [7:38:32<17:17:12, 1.29s/step] Training: 31%|███ | 21599/70000 [7:38:33<17:47:14, 1.32s/step] Training: 31%|███ | 21600/70000 [7:38:35<17:54:03, 1.33s/step]INFO 2026-03-13 03:48:27 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.31 loss:0.061 grdn:7.801 lr:2.0e-05 updt_s:1.252 data_s:0.019 Training: 31%|███ | 21601/70000 [7:38:36<17:19:14, 1.29s/step] Training: 31%|███ | 21602/70000 [7:38:37<17:34:19, 1.31s/step] Training: 31%|███ | 21603/70000 [7:38:38<17:03:57, 1.27s/step] Training: 31%|███ | 21604/70000 [7:38:40<17:19:10, 1.29s/step] Training: 31%|███ | 21605/70000 [7:38:41<16:55:44, 1.26s/step] Training: 31%|███ | 21606/70000 [7:38:42<17:11:52, 1.28s/step] Training: 31%|███ | 21607/70000 [7:38:44<17:06:03, 1.27s/step] Training: 31%|███ | 21608/70000 [7:38:45<16:51:40, 1.25s/step] Training: 31%|███ | 21609/70000 [7:38:46<17:16:09, 1.28s/step] Training: 31%|███ | 21610/70000 [7:38:47<16:59:14, 1.26s/step] Training: 31%|███ | 21611/70000 [7:38:49<16:41:46, 1.24s/step] Training: 31%|███ | 21612/70000 [7:38:50<16:31:40, 1.23s/step] Training: 31%|███ | 21613/70000 [7:38:51<16:22:06, 1.22s/step] Training: 31%|███ | 21614/70000 [7:38:52<16:20:48, 1.22s/step] Training: 31%|███ | 21615/70000 [7:38:53<16:29:56, 1.23s/step] Training: 31%|███ | 21616/70000 [7:38:55<16:56:34, 1.26s/step] Training: 31%|███ | 21617/70000 [7:38:56<16:39:31, 1.24s/step] Training: 31%|███ | 21618/70000 [7:38:57<17:03:07, 1.27s/step] Training: 31%|███ | 21619/70000 [7:38:59<17:03:27, 1.27s/step] Training: 31%|███ | 21620/70000 [7:39:00<17:15:20, 1.28s/step] Training: 31%|███ | 21621/70000 [7:39:01<16:52:07, 1.26s/step] Training: 31%|███ | 21622/70000 [7:39:02<17:12:08, 1.28s/step] Training: 31%|███ | 21623/70000 [7:39:04<17:25:59, 1.30s/step] Training: 31%|███ | 21624/70000 [7:39:05<17:37:26, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=60212 Training: 31%|███ | 21625/70000 [7:39:06<17:07:22, 1.27s/step] Training: 31%|███ | 21626/70000 [7:39:08<17:49:59, 1.33s/step] Training: 31%|███ | 21627/70000 [7:39:09<17:16:24, 1.29s/step] Training: 31%|███ | 21628/70000 [7:39:10<17:26:55, 1.30s/step] Training: 31%|███ | 21629/70000 [7:39:11<17:00:46, 1.27s/step] Training: 31%|███ | 21630/70000 [7:39:13<17:15:36, 1.28s/step] Training: 31%|███ | 21631/70000 [7:39:14<17:27:18, 1.30s/step] Training: 31%|███ | 21632/70000 [7:39:15<17:35:01, 1.31s/step] Training: 31%|███ | 21633/70000 [7:39:17<17:06:17, 1.27s/step] Training: 31%|███ | 21634/70000 [7:39:18<16:49:44, 1.25s/step] Training: 31%|███ | 21635/70000 [7:39:19<16:34:07, 1.23s/step] Training: 31%|███ | 21636/70000 [7:39:20<16:54:41, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=60212 Training: 31%|███ | 21637/70000 [7:39:21<16:38:38, 1.24s/step] Training: 31%|███ | 21638/70000 [7:39:23<16:59:42, 1.27s/step] Training: 31%|███ | 21639/70000 [7:39:24<17:27:25, 1.30s/step] Training: 31%|███ | 21640/70000 [7:39:25<17:08:21, 1.28s/step] Training: 31%|███ | 21641/70000 [7:39:27<16:47:59, 1.25s/step] Training: 31%|███ | 21642/70000 [7:39:28<16:55:31, 1.26s/step] Training: 31%|███ | 21643/70000 [7:39:29<16:39:05, 1.24s/step] Training: 31%|███ | 21644/70000 [7:39:30<16:31:14, 1.23s/step] Training: 31%|███ | 21645/70000 [7:39:31<16:21:34, 1.22s/step] Training: 31%|███ | 21646/70000 [7:39:33<16:20:18, 1.22s/step] Training: 31%|███ | 21647/70000 [7:39:34<16:29:16, 1.23s/step] Training: 31%|███ | 21648/70000 [7:39:35<16:55:04, 1.26s/step] Training: 31%|███ | 21649/70000 [7:39:36<16:38:15, 1.24s/step] Training: 31%|███ | 21650/70000 [7:39:38<16:41:46, 1.24s/step] Training: 31%|███ | 21651/70000 [7:39:39<16:45:29, 1.25s/step] Training: 31%|███ | 21652/70000 [7:39:40<17:03:33, 1.27s/step] Training: 31%|███ | 21653/70000 [7:39:41<16:43:34, 1.25s/step] Training: 31%|███ | 21654/70000 [7:39:43<17:03:38, 1.27s/step] Training: 31%|███ | 21655/70000 [7:39:44<17:17:16, 1.29s/step] Training: 31%|███ | 21656/70000 [7:39:45<17:27:59, 1.30s/step] Training: 31%|███ | 21657/70000 [7:39:47<17:01:54, 1.27s/step] Training: 31%|███ | 21658/70000 [7:39:48<17:21:00, 1.29s/step] Training: 31%|███ | 21659/70000 [7:39:49<17:34:23, 1.31s/step] Training: 31%|███ | 21660/70000 [7:39:51<17:37:33, 1.31s/step] Training: 31%|███ | 21661/70000 [7:39:52<17:07:44, 1.28s/step] Training: 31%|███ | 21662/70000 [7:39:53<17:20:45, 1.29s/step] Training: 31%|███ | 21663/70000 [7:39:55<17:29:12, 1.30s/step] Training: 31%|███ | 21664/70000 [7:39:56<17:03:52, 1.27s/step] Training: 31%|███ | 21665/70000 [7:39:57<17:15:07, 1.28s/step] Training: 31%|███ | 21666/70000 [7:39:58<16:54:00, 1.26s/step] Training: 31%|███ | 21667/70000 [7:40:00<17:29:21, 1.30s/step] Training: 31%|███ | 21668/70000 [7:40:01<17:08:57, 1.28s/step] Training: 31%|███ | 21669/70000 [7:40:02<16:49:20, 1.25s/step] Training: 31%|███ | 21670/70000 [7:40:03<17:08:42, 1.28s/step] Training: 31%|███ | 21671/70000 [7:40:05<17:32:41, 1.31s/step] Training: 31%|███ | 21672/70000 [7:40:06<17:07:01, 1.28s/step] Training: 31%|███ | 21673/70000 [7:40:07<17:19:57, 1.29s/step] Training: 31%|███ | 21674/70000 [7:40:09<17:05:05, 1.27s/step] Training: 31%|███ | 21675/70000 [7:40:10<17:59:52, 1.34s/step] Training: 31%|███ | 21676/70000 [7:40:11<17:28:06, 1.30s/step] Training: 31%|███ | 21677/70000 [7:40:12<17:06:26, 1.27s/step] Training: 31%|███ | 21678/70000 [7:40:14<16:51:36, 1.26s/step] Training: 31%|███ | 21679/70000 [7:40:15<16:51:57, 1.26s/step] Training: 31%|███ | 21680/70000 [7:40:16<17:11:35, 1.28s/step] Training: 31%|███ | 21681/70000 [7:40:17<16:49:25, 1.25s/step] Training: 31%|███ | 21682/70000 [7:40:19<16:33:28, 1.23s/step] Training: 31%|███ | 21683/70000 [7:40:20<17:27:20, 1.30s/step] Training: 31%|███ | 21684/70000 [7:40:21<17:33:06, 1.31s/step] Training: 31%|███ | 21685/70000 [7:40:23<17:04:53, 1.27s/step] Training: 31%|███ | 21686/70000 [7:40:24<17:20:03, 1.29s/step] Training: 31%|███ | 21687/70000 [7:40:25<17:30:02, 1.30s/step] Training: 31%|███ | 21688/70000 [7:40:27<17:39:11, 1.32s/step] Training: 31%|███ | 21689/70000 [7:40:28<17:09:25, 1.28s/step] Training: 31%|███ | 21690/70000 [7:40:29<17:21:49, 1.29s/step] Training: 31%|███ | 21691/70000 [7:40:30<16:57:19, 1.26s/step] Training: 31%|███ | 21692/70000 [7:40:32<17:34:15, 1.31s/step] Training: 31%|███ | 21693/70000 [7:40:33<17:05:22, 1.27s/step] Training: 31%|███ | 21694/70000 [7:40:34<17:19:09, 1.29s/step] Training: 31%|███ | 21695/70000 [7:40:36<17:30:07, 1.30s/step] Training: 31%|███ | 21696/70000 [7:40:37<17:14:09, 1.28s/step] Training: 31%|███ | 21697/70000 [7:40:38<16:52:04, 1.26s/step] Training: 31%|███ | 21698/70000 [7:40:39<16:40:48, 1.24s/step] Training: 31%|███ | 21699/70000 [7:40:40<16:27:39, 1.23s/step] Training: 31%|███ | 21700/70000 [7:40:42<16:55:29, 1.26s/step]INFO 2026-03-13 03:50:34 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.39 loss:0.062 grdn:7.848 lr:2.0e-05 updt_s:1.249 data_s:0.019 Training: 31%|███ | 21701/70000 [7:40:43<16:35:36, 1.24s/step] Training: 31%|███ | 21702/70000 [7:40:44<16:56:41, 1.26s/step] Training: 31%|███ | 21703/70000 [7:40:46<17:20:30, 1.29s/step] Training: 31%|███ | 21704/70000 [7:40:47<17:07:09, 1.28s/step] Training: 31%|███ | 21705/70000 [7:40:48<16:46:26, 1.25s/step] Training: 31%|███ | 21706/70000 [7:40:49<16:41:40, 1.24s/step] Training: 31%|███ | 21707/70000 [7:40:51<16:30:16, 1.23s/step] Training: 31%|███ | 21708/70000 [7:40:52<16:34:41, 1.24s/step] Training: 31%|███ | 21709/70000 [7:40:53<16:23:29, 1.22s/step] Training: 31%|███ | 21710/70000 [7:40:54<16:25:39, 1.22s/step] Training: 31%|███ | 21711/70000 [7:40:55<16:30:25, 1.23s/step] Training: 31%|███ | 21712/70000 [7:40:57<16:58:09, 1.27s/step] Training: 31%|███ | 21713/70000 [7:40:58<16:39:45, 1.24s/step] Training: 31%|███ | 21714/70000 [7:40:59<16:27:36, 1.23s/step] Training: 31%|███ | 21715/70000 [7:41:00<16:48:57, 1.25s/step] Training: 31%|███ | 21716/70000 [7:41:02<17:09:46, 1.28s/step] Training: 31%|███ | 21717/70000 [7:41:03<16:47:48, 1.25s/step] Training: 31%|███ | 21718/70000 [7:41:04<17:10:00, 1.28s/step] Training: 31%|███ | 21719/70000 [7:41:06<17:25:38, 1.30s/step] Training: 31%|███ | 21720/70000 [7:41:07<17:38:05, 1.31s/step] Training: 31%|███ | 21721/70000 [7:41:08<17:07:44, 1.28s/step] Training: 31%|███ | 21722/70000 [7:41:09<16:46:34, 1.25s/step] Training: 31%|███ | 21723/70000 [7:41:11<16:31:53, 1.23s/step] Training: 31%|███ | 21724/70000 [7:41:12<16:21:34, 1.22s/step] Training: 31%|███ | 21725/70000 [7:41:13<16:51:01, 1.26s/step] Training: 31%|███ | 21726/70000 [7:41:14<17:04:27, 1.27s/step] Training: 31%|███ | 21727/70000 [7:41:16<17:18:28, 1.29s/step] Training: 31%|███ | 21728/70000 [7:41:17<17:04:21, 1.27s/step] Training: 31%|███ | 21729/70000 [7:41:18<16:44:31, 1.25s/step] Training: 31%|███ | 21730/70000 [7:41:19<16:43:25, 1.25s/step] Training: 31%|███ | 21731/70000 [7:41:21<16:30:22, 1.23s/step] Training: 31%|███ | 21732/70000 [7:41:22<16:19:19, 1.22s/step] Training: 31%|███ | 21733/70000 [7:41:23<16:41:49, 1.25s/step] Training: 31%|███ | 21734/70000 [7:41:24<16:59:11, 1.27s/step] Training: 31%|███ | 21735/70000 [7:41:26<17:20:23, 1.29s/step] Training: 31%|███ | 21736/70000 [7:41:27<17:02:11, 1.27s/step] Training: 31%|███ | 21737/70000 [7:41:28<16:43:11, 1.25s/step] Training: 31%|███ | 21738/70000 [7:41:29<16:33:50, 1.24s/step] Training: 31%|███ | 21739/70000 [7:41:31<16:22:20, 1.22s/step] Training: 31%|███ | 21740/70000 [7:41:32<16:14:28, 1.21s/step] Training: 31%|███ | 21741/70000 [7:41:33<16:09:27, 1.21s/step] Training: 31%|███ | 21742/70000 [7:41:34<16:41:55, 1.25s/step] Training: 31%|███ | 21743/70000 [7:41:36<16:41:41, 1.25s/step] Training: 31%|███ | 21744/70000 [7:41:37<17:04:56, 1.27s/step] Training: 31%|███ | 21745/70000 [7:41:38<16:44:53, 1.25s/step] Training: 31%|███ | 21746/70000 [7:41:39<17:04:32, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=4211 Training: 31%|███ | 21747/70000 [7:41:41<16:44:24, 1.25s/step] Training: 31%|███ | 21748/70000 [7:41:42<16:29:52, 1.23s/step] Training: 31%|███ | 21749/70000 [7:41:43<17:26:34, 1.30s/step] Training: 31%|███ | 21750/70000 [7:41:45<17:30:31, 1.31s/step] Training: 31%|███ | 21751/70000 [7:41:46<17:35:42, 1.31s/step] Training: 31%|███ | 21752/70000 [7:41:47<17:40:22, 1.32s/step] Training: 31%|███ | 21753/70000 [7:41:48<17:08:35, 1.28s/step] Training: 31%|███ | 21754/70000 [7:41:50<17:21:52, 1.30s/step] Training: 31%|███ | 21755/70000 [7:41:51<16:56:03, 1.26s/step] Training: 31%|███ | 21756/70000 [7:41:52<16:37:49, 1.24s/step] Training: 31%|███ | 21757/70000 [7:41:53<16:58:02, 1.27s/step] Training: 31%|███ | 21758/70000 [7:41:55<17:37:55, 1.32s/step] Training: 31%|███ | 21759/70000 [7:41:56<17:43:00, 1.32s/step] Training: 31%|███ | 21760/70000 [7:41:57<17:19:55, 1.29s/step] Training: 31%|███ | 21761/70000 [7:41:59<16:57:42, 1.27s/step] Training: 31%|███ | 21762/70000 [7:42:00<16:48:09, 1.25s/step] Training: 31%|███ | 21763/70000 [7:42:01<16:32:28, 1.23s/step] Training: 31%|███ | 21764/70000 [7:42:02<16:21:53, 1.22s/step] Training: 31%|███ | 21765/70000 [7:42:04<16:21:06, 1.22s/step] Training: 31%|███ | 21766/70000 [7:42:05<17:16:51, 1.29s/step] Training: 31%|███ | 21767/70000 [7:42:06<17:38:02, 1.32s/step] Training: 31%|███ | 21768/70000 [7:42:08<17:18:25, 1.29s/step] Training: 31%|███ | 21769/70000 [7:42:09<16:54:18, 1.26s/step] Training: 31%|███ | 21770/70000 [7:42:10<16:41:36, 1.25s/step] Training: 31%|███ | 21771/70000 [7:42:11<16:27:58, 1.23s/step] Training: 31%|███ | 21772/70000 [7:42:12<16:19:19, 1.22s/step] Training: 31%|███ | 21773/70000 [7:42:14<16:44:17, 1.25s/step] Training: 31%|███ | 21774/70000 [7:42:15<16:34:27, 1.24s/step] Training: 31%|███ | 21775/70000 [7:42:16<16:40:01, 1.24s/step] Training: 31%|███ | 21776/70000 [7:42:18<17:11:20, 1.28s/step] Training: 31%|███ | 21777/70000 [7:42:19<16:48:57, 1.26s/step] Training: 31%|███ | 21778/70000 [7:42:20<17:10:55, 1.28s/step] Training: 31%|███ | 21779/70000 [7:42:21<16:47:21, 1.25s/step] Training: 31%|███ | 21780/70000 [7:42:22<16:32:26, 1.23s/step] Training: 31%|███ | 21781/70000 [7:42:24<16:56:26, 1.26s/step] Training: 31%|███ | 21782/70000 [7:42:25<17:26:39, 1.30s/step] Training: 31%|███ | 21783/70000 [7:42:26<17:34:47, 1.31s/step] Training: 31%|███ | 21784/70000 [7:42:28<17:45:03, 1.33s/step] Training: 31%|███ | 21785/70000 [7:42:29<17:12:10, 1.28s/step] Training: 31%|███ | 21786/70000 [7:42:30<17:29:50, 1.31s/step] Training: 31%|███ | 21787/70000 [7:42:32<17:02:39, 1.27s/step] Training: 31%|███ | 21788/70000 [7:42:33<16:41:23, 1.25s/step] Training: 31%|███ | 21789/70000 [7:42:34<16:36:25, 1.24s/step] Training: 31%|███ | 21790/70000 [7:42:35<16:59:49, 1.27s/step] Training: 31%|███ | 21791/70000 [7:42:37<17:19:41, 1.29s/step] Training: 31%|███ | 21792/70000 [7:42:38<17:09:37, 1.28s/step] Training: 31%|███ | 21793/70000 [7:42:39<16:46:23, 1.25s/step] Training: 31%|███ | 21794/70000 [7:42:40<16:41:58, 1.25s/step] Training: 31%|███ | 21795/70000 [7:42:42<16:28:35, 1.23s/step] Training: 31%|███ | 21796/70000 [7:42:43<16:19:35, 1.22s/step] Training: 31%|███ | 21797/70000 [7:42:44<16:17:58, 1.22s/step] Training: 31%|███ | 21798/70000 [7:42:45<16:43:46, 1.25s/step] Training: 31%|███ | 21799/70000 [7:42:47<17:33:09, 1.31s/step] Training: 31%|███ | 21800/70000 [7:42:48<17:15:07, 1.29s/step]INFO 2026-03-13 03:52:40 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.48 loss:0.063 grdn:9.801 lr:2.0e-05 updt_s:1.240 data_s:0.019 Training: 31%|███ | 21801/70000 [7:42:49<16:50:57, 1.26s/step] Training: 31%|███ | 21802/70000 [7:42:50<16:41:33, 1.25s/step] Training: 31%|███ | 21803/70000 [7:42:52<16:27:46, 1.23s/step] Training: 31%|███ | 21804/70000 [7:42:53<16:17:05, 1.22s/step] Training: 31%|███ | 21805/70000 [7:42:54<16:42:04, 1.25s/step] Training: 31%|███ | 21806/70000 [7:42:55<16:36:16, 1.24s/step] Training: 31%|███ | 21807/70000 [7:42:57<16:48:14, 1.26s/step] Training: 31%|███ | 21808/70000 [7:42:58<17:05:26, 1.28s/step] Training: 31%|███ | 21809/70000 [7:42:59<16:44:54, 1.25s/step] Training: 31%|███ | 21810/70000 [7:43:00<17:03:04, 1.27s/step] Training: 31%|███ | 21811/70000 [7:43:02<16:44:56, 1.25s/step] Training: 31%|███ | 21812/70000 [7:43:03<16:29:44, 1.23s/step] Training: 31%|███ | 21813/70000 [7:43:04<16:52:42, 1.26s/step] Training: 31%|███ | 21814/70000 [7:43:05<17:10:14, 1.28s/step] Training: 31%|███ | 21815/70000 [7:43:07<17:28:04, 1.31s/step] Training: 31%|███ | 21816/70000 [7:43:08<17:31:28, 1.31s/step] Training: 31%|███ | 21817/70000 [7:43:09<17:02:35, 1.27s/step] Training: 31%|███ | 21818/70000 [7:43:11<16:41:36, 1.25s/step] Training: 31%|███ | 21819/70000 [7:43:12<17:01:50, 1.27s/step] Training: 31%|███ | 21820/70000 [7:43:13<16:41:44, 1.25s/step] Training: 31%|███ | 21821/70000 [7:43:14<16:35:50, 1.24s/step] Training: 31%|███ | 21822/70000 [7:43:16<16:55:44, 1.26s/step] Training: 31%|███ | 21823/70000 [7:43:17<17:17:02, 1.29s/step] Training: 31%|███ | 21824/70000 [7:43:18<17:00:15, 1.27s/step] Training: 31%|███ | 21825/70000 [7:43:19<16:40:46, 1.25s/step] Training: 31%|███ | 21826/70000 [7:43:21<16:27:30, 1.23s/step] Training: 31%|███ | 21827/70000 [7:43:22<16:44:44, 1.25s/step] Training: 31%|███ | 21828/70000 [7:43:23<16:29:11, 1.23s/step] Training: 31%|███ | 21829/70000 [7:43:24<16:25:31, 1.23s/step] Training: 31%|███ | 21830/70000 [7:43:26<16:51:01, 1.26s/step] Training: 31%|███ | 21831/70000 [7:43:27<17:17:01, 1.29s/step] Training: 31%|███ | 21832/70000 [7:43:28<17:29:14, 1.31s/step] Training: 31%|███ | 21833/70000 [7:43:29<16:58:30, 1.27s/step] Training: 31%|███ | 21834/70000 [7:43:31<16:39:06, 1.24s/step] Training: 31%|███ | 21835/70000 [7:43:32<16:26:42, 1.23s/step] Training: 31%|███ | 21836/70000 [7:43:33<16:17:38, 1.22s/step] Training: 31%|███ | 21837/70000 [7:43:34<16:44:24, 1.25s/step] Training: 31%|███ | 21838/70000 [7:43:36<16:33:37, 1.24s/step] Training: 31%|███ | 21839/70000 [7:43:37<16:55:38, 1.27s/step] Training: 31%|███ | 21840/70000 [7:43:38<17:38:59, 1.32s/step] Training: 31%|███ | 21841/70000 [7:43:40<17:07:42, 1.28s/step] Training: 31%|███ | 21842/70000 [7:43:41<16:46:11, 1.25s/step] Training: 31%|███ | 21843/70000 [7:43:42<16:55:31, 1.27s/step] Training: 31%|███ | 21844/70000 [7:43:43<16:37:26, 1.24s/step] Training: 31%|███ | 21845/70000 [7:43:45<16:56:43, 1.27s/step] Training: 31%|███ | 21846/70000 [7:43:46<17:11:18, 1.29s/step] Training: 31%|███ | 21847/70000 [7:43:47<17:23:16, 1.30s/step] Training: 31%|███ | 21848/70000 [7:43:49<17:53:17, 1.34s/step] Training: 31%|███ | 21849/70000 [7:43:50<17:17:33, 1.29s/step] Training: 31%|███ | 21850/70000 [7:43:51<16:53:06, 1.26s/step] Training: 31%|███ | 21851/70000 [7:43:52<17:08:16, 1.28s/step] Training: 31%|███ | 21852/70000 [7:43:54<16:45:49, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=60212 Training: 31%|███ | 21853/70000 [7:43:55<16:39:40, 1.25s/step] Training: 31%|███ | 21854/70000 [7:43:56<16:59:28, 1.27s/step] Training: 31%|███ | 21855/70000 [7:43:57<17:16:39, 1.29s/step] Training: 31%|███ | 21856/70000 [7:43:59<17:41:41, 1.32s/step] Training: 31%|███ | 21857/70000 [7:44:00<17:06:30, 1.28s/step] Training: 31%|███ | 21858/70000 [7:44:01<16:46:59, 1.26s/step] Training: 31%|███ | 21859/70000 [7:44:02<16:39:09, 1.25s/step] Training: 31%|███ | 21860/70000 [7:44:04<16:26:03, 1.23s/step] Training: 31%|███ | 21861/70000 [7:44:05<16:21:17, 1.22s/step] Training: 31%|███ | 21862/70000 [7:44:06<16:22:09, 1.22s/step] Training: 31%|███ | 21863/70000 [7:44:07<16:56:51, 1.27s/step] Training: 31%|███ | 21864/70000 [7:44:09<16:51:05, 1.26s/step] Training: 31%|███ | 21865/70000 [7:44:10<16:31:34, 1.24s/step] Training: 31%|███ | 21866/70000 [7:44:11<16:20:26, 1.22s/step] Training: 31%|███ | 21867/70000 [7:44:12<16:45:38, 1.25s/step] Training: 31%|███ | 21868/70000 [7:44:14<16:30:04, 1.23s/step] Training: 31%|███ | 21869/70000 [7:44:15<16:52:31, 1.26s/step] Training: 31%|███ | 21870/70000 [7:44:16<16:39:37, 1.25s/step] Training: 31%|███ | 21871/70000 [7:44:17<16:58:11, 1.27s/step] Training: 31%|███ | 21872/70000 [7:44:19<17:17:34, 1.29s/step] Training: 31%|███ | 21873/70000 [7:44:20<17:29:25, 1.31s/step] Training: 31%|███ | 21874/70000 [7:44:21<16:58:23, 1.27s/step] Training: 31%|███▏ | 21875/70000 [7:44:23<17:11:56, 1.29s/step] Training: 31%|███▏ | 21876/70000 [7:44:24<16:48:35, 1.26s/step] Training: 31%|███▏ | 21877/70000 [7:44:25<17:05:35, 1.28s/step] Training: 31%|███▏ | 21878/70000 [7:44:26<17:18:52, 1.30s/step] Training: 31%|███▏ | 21879/70000 [7:44:28<17:28:15, 1.31s/step] Training: 31%|███▏ | 21880/70000 [7:44:29<17:42:38, 1.32s/step] Training: 31%|███▏ | 21881/70000 [7:44:30<17:40:08, 1.32s/step] Training: 31%|███▏ | 21882/70000 [7:44:32<17:06:06, 1.28s/step] Training: 31%|███▏ | 21883/70000 [7:44:33<17:15:11, 1.29s/step] Training: 31%|███▏ | 21884/70000 [7:44:34<16:51:29, 1.26s/step] Training: 31%|███▏ | 21885/70000 [7:44:35<16:40:57, 1.25s/step] Training: 31%|███▏ | 21886/70000 [7:44:37<16:58:24, 1.27s/step] Training: 31%|███▏ | 21887/70000 [7:44:38<17:12:22, 1.29s/step] Training: 31%|███▏ | 21888/70000 [7:44:39<16:58:47, 1.27s/step] Training: 31%|███▏ | 21889/70000 [7:44:41<17:20:22, 1.30s/step] Training: 31%|███▏ | 21890/70000 [7:44:42<16:51:25, 1.26s/step] Training: 31%|███▏ | 21891/70000 [7:44:43<16:42:45, 1.25s/step] Training: 31%|███▏ | 21892/70000 [7:44:44<16:28:18, 1.23s/step] Training: 31%|███▏ | 21893/70000 [7:44:45<16:24:12, 1.23s/step] Training: 31%|███▏ | 21894/70000 [7:44:47<16:24:19, 1.23s/step] Training: 31%|███▏ | 21895/70000 [7:44:48<17:03:40, 1.28s/step] Training: 31%|███▏ | 21896/70000 [7:44:49<16:50:12, 1.26s/step] Training: 31%|███▏ | 21897/70000 [7:44:50<16:33:30, 1.24s/step] Training: 31%|███▏ | 21898/70000 [7:44:52<17:00:56, 1.27s/step] Training: 31%|███▏ | 21899/70000 [7:44:53<17:11:24, 1.29s/step] Training: 31%|███▏ | 21900/70000 [7:44:54<16:47:59, 1.26s/step]INFO 2026-03-13 03:54:46 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.56 loss:0.063 grdn:7.735 lr:2.0e-05 updt_s:1.243 data_s:0.019 Training: 31%|███▏ | 21901/70000 [7:44:56<17:04:15, 1.28s/step] Training: 31%|███▏ | 21902/70000 [7:44:57<16:49:51, 1.26s/step] Training: 31%|███▏ | 21903/70000 [7:44:58<17:05:03, 1.28s/step] Training: 31%|███▏ | 21904/70000 [7:45:00<17:17:16, 1.29s/step] Training: 31%|███▏ | 21905/70000 [7:45:01<16:52:21, 1.26s/step] Training: 31%|███▏ | 21906/70000 [7:45:02<17:11:46, 1.29s/step] Training: 31%|███▏ | 21907/70000 [7:45:03<17:17:59, 1.29s/step] Training: 31%|███▏ | 21908/70000 [7:45:05<16:51:49, 1.26s/step] Training: 31%|███▏ | 21909/70000 [7:45:06<17:07:58, 1.28s/step] Training: 31%|███▏ | 21910/70000 [7:45:07<17:19:07, 1.30s/step] Training: 31%|███▏ | 21911/70000 [7:45:09<17:27:41, 1.31s/step] Training: 31%|███▏ | 21912/70000 [7:45:10<17:35:08, 1.32s/step] Training: 31%|███▏ | 21913/70000 [7:45:11<17:04:13, 1.28s/step] Training: 31%|███▏ | 21914/70000 [7:45:12<16:43:33, 1.25s/step] Training: 31%|███▏ | 21915/70000 [7:45:14<17:01:49, 1.28s/step] Training: 31%|███▏ | 21916/70000 [7:45:15<16:40:39, 1.25s/step] Training: 31%|███▏ | 21917/70000 [7:45:16<16:40:26, 1.25s/step] Training: 31%|███▏ | 21918/70000 [7:45:17<17:00:35, 1.27s/step] Training: 31%|███▏ | 21919/70000 [7:45:19<17:12:54, 1.29s/step] Training: 31%|███▏ | 21920/70000 [7:45:20<17:02:05, 1.28s/step] Training: 31%|███▏ | 21921/70000 [7:45:21<16:41:12, 1.25s/step] Training: 31%|███▏ | 21922/70000 [7:45:22<16:33:01, 1.24s/step] Training: 31%|███▏ | 21923/70000 [7:45:24<16:23:38, 1.23s/step] Training: 31%|███▏ | 21924/70000 [7:45:25<16:15:57, 1.22s/step] Training: 31%|███▏ | 21925/70000 [7:45:26<16:11:19, 1.21s/step] Training: 31%|███▏ | 21926/70000 [7:45:27<16:18:19, 1.22s/step] Training: 31%|███▏ | 21927/70000 [7:45:29<16:53:55, 1.27s/step] Training: 31%|███▏ | 21928/70000 [7:45:30<16:41:32, 1.25s/step] Training: 31%|███▏ | 21929/70000 [7:45:31<16:27:16, 1.23s/step] Training: 31%|███▏ | 21930/70000 [7:45:32<16:30:40, 1.24s/step] Training: 31%|███▏ | 21931/70000 [7:45:34<16:50:39, 1.26s/step] Training: 31%|███▏ | 21932/70000 [7:45:35<16:32:35, 1.24s/step] Training: 31%|███▏ | 21933/70000 [7:45:36<16:56:10, 1.27s/step] Training: 31%|███▏ | 21934/70000 [7:45:37<16:43:16, 1.25s/step] Training: 31%|███▏ | 21935/70000 [7:45:39<17:01:08, 1.27s/step] Training: 31%|███▏ | 21936/70000 [7:45:40<17:15:32, 1.29s/step] Training: 31%|███▏ | 21937/70000 [7:45:41<16:50:38, 1.26s/step] Training: 31%|███▏ | 21938/70000 [7:45:42<16:32:59, 1.24s/step] Training: 31%|███▏ | 21939/70000 [7:45:44<17:15:50, 1.29s/step] Training: 31%|███▏ | 21940/70000 [7:45:45<16:50:47, 1.26s/step] Training: 31%|███▏ | 21941/70000 [7:45:46<17:06:00, 1.28s/step] Training: 31%|███▏ | 21942/70000 [7:45:48<17:17:09, 1.29s/step] Training: 31%|███▏ | 21943/70000 [7:45:49<17:27:19, 1.31s/step] Training: 31%|███▏ | 21944/70000 [7:45:50<17:35:52, 1.32s/step] Training: 31%|███▏ | 21945/70000 [7:45:51<17:04:49, 1.28s/step] Training: 31%|███▏ | 21946/70000 [7:45:53<16:42:41, 1.25s/step] Training: 31%|███▏ | 21947/70000 [7:45:54<17:15:58, 1.29s/step] Training: 31%|███▏ | 21948/70000 [7:45:55<16:52:31, 1.26s/step] Training: 31%|███▏ | 21949/70000 [7:45:56<16:44:44, 1.25s/step] Training: 31%|███▏ | 21950/70000 [7:45:58<16:31:36, 1.24s/step] Training: 31%|███▏ | 21951/70000 [7:45:59<17:19:29, 1.30s/step] Training: 31%|███▏ | 21952/70000 [7:46:00<17:05:28, 1.28s/step] Training: 31%|███▏ | 21953/70000 [7:46:01<16:42:46, 1.25s/step] Training: 31%|███▏ | 21954/70000 [7:46:03<16:29:13, 1.24s/step] Training: 31%|███▏ | 21955/70000 [7:46:04<16:23:41, 1.23s/step] Training: 31%|███▏ | 21956/70000 [7:46:05<16:49:54, 1.26s/step] Training: 31%|███▏ | 21957/70000 [7:46:06<16:33:04, 1.24s/step] Training: 31%|███▏ | 21958/70000 [7:46:08<16:20:57, 1.23s/step] Training: 31%|███▏ | 21959/70000 [7:46:09<17:14:10, 1.29s/step] Training: 31%|███▏ | 21960/70000 [7:46:10<16:57:28, 1.27s/step] Training: 31%|███▏ | 21961/70000 [7:46:11<16:38:03, 1.25s/step] Training: 31%|███▏ | 21962/70000 [7:46:13<16:24:39, 1.23s/step] Training: 31%|███▏ | 21963/70000 [7:46:14<16:56:49, 1.27s/step] Training: 31%|███▏ | 21964/70000 [7:46:15<16:34:49, 1.24s/step] Training: 31%|███▏ | 21965/70000 [7:46:17<16:55:59, 1.27s/step] Training: 31%|███▏ | 21966/70000 [7:46:18<16:37:24, 1.25s/step] Training: 31%|███▏ | 21967/70000 [7:46:19<16:56:03, 1.27s/step] Training: 31%|███▏ | 21968/70000 [7:46:20<17:09:40, 1.29s/step] Training: 31%|███▏ | 21969/70000 [7:46:22<16:46:53, 1.26s/step] Training: 31%|███▏ | 21970/70000 [7:46:23<16:30:58, 1.24s/step] Training: 31%|███▏ | 21971/70000 [7:46:24<16:53:16, 1.27s/step] Training: 31%|███▏ | 21972/70000 [7:46:25<17:14:35, 1.29s/step] Training: 31%|███▏ | 21973/70000 [7:46:27<17:19:29, 1.30s/step] Training: 31%|███▏ | 21974/70000 [7:46:28<16:52:28, 1.26s/step] Training: 31%|███▏ | 21975/70000 [7:46:29<17:34:24, 1.32s/step] Training: 31%|███▏ | 21976/70000 [7:46:31<17:40:07, 1.32s/step] Training: 31%|███▏ | 21977/70000 [7:46:32<17:07:41, 1.28s/step] Training: 31%|███▏ | 21978/70000 [7:46:33<16:45:05, 1.26s/step] Training: 31%|███▏ | 21979/70000 [7:46:34<16:38:20, 1.25s/step] Training: 31%|███▏ | 21980/70000 [7:46:36<17:07:27, 1.28s/step] Training: 31%|███▏ | 21981/70000 [7:46:37<16:53:19, 1.27s/step] Training: 31%|███▏ | 21982/70000 [7:46:38<16:37:29, 1.25s/step] Training: 31%|███▏ | 21983/70000 [7:46:39<17:00:18, 1.27s/step] Training: 31%|███▏ | 21984/70000 [7:46:41<17:13:16, 1.29s/step] Training: 31%|███▏ | 21985/70000 [7:46:42<16:48:46, 1.26s/step] Training: 31%|███▏ | 21986/70000 [7:46:43<16:30:01, 1.24s/step] Training: 31%|███▏ | 21987/70000 [7:46:44<16:22:51, 1.23s/step] Training: 31%|███▏ | 21988/70000 [7:46:46<16:13:36, 1.22s/step] Training: 31%|███▏ | 21989/70000 [7:46:47<16:11:09, 1.21s/step] Training: 31%|███▏ | 21990/70000 [7:46:48<16:06:16, 1.21s/step] Training: 31%|███▏ | 21991/70000 [7:46:49<16:36:06, 1.24s/step] Training: 31%|███▏ | 21992/70000 [7:46:51<16:52:04, 1.26s/step] Training: 31%|███▏ | 21993/70000 [7:46:52<16:33:45, 1.24s/step] Training: 31%|███▏ | 21994/70000 [7:46:53<16:20:41, 1.23s/step] Training: 31%|███▏ | 21995/70000 [7:46:54<16:42:35, 1.25s/step] Training: 31%|███▏ | 21996/70000 [7:46:56<16:42:04, 1.25s/step] Training: 31%|███▏ | 21997/70000 [7:46:57<16:58:27, 1.27s/step] Training: 31%|███▏ | 21998/70000 [7:46:58<16:38:37, 1.25s/step] Training: 31%|███▏ | 21999/70000 [7:47:00<17:37:56, 1.32s/step] Training: 31%|███▏ | 22000/70000 [7:47:01<17:41:29, 1.33s/step]INFO 2026-03-13 03:56:53 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.65 loss:0.063 grdn:6.829 lr:2.0e-05 updt_s:1.244 data_s:0.019 Training: 31%|███▏ | 22001/70000 [7:47:02<17:08:41, 1.29s/step] Training: 31%|███▏ | 22002/70000 [7:47:03<16:45:53, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=4211 Training: 31%|███▏ | 22003/70000 [7:47:05<17:03:01, 1.28s/step] Training: 31%|███▏ | 22004/70000 [7:47:06<16:57:48, 1.27s/step] Training: 31%|███▏ | 22005/70000 [7:47:07<17:07:52, 1.28s/step] Training: 31%|███▏ | 22006/70000 [7:47:08<16:44:22, 1.26s/step] Training: 31%|███▏ | 22007/70000 [7:47:10<17:05:16, 1.28s/step] Training: 31%|███▏ | 22008/70000 [7:47:11<17:16:58, 1.30s/step] Training: 31%|███▏ | 22009/70000 [7:47:12<16:52:55, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=3188 Training: 31%|███▏ | 22010/70000 [7:47:13<16:34:51, 1.24s/step] Training: 31%|███▏ | 22011/70000 [7:47:15<16:32:07, 1.24s/step] Training: 31%|███▏ | 22012/70000 [7:47:16<16:19:27, 1.22s/step] Training: 31%|███▏ | 22013/70000 [7:47:17<16:47:21, 1.26s/step] Training: 31%|███▏ | 22014/70000 [7:47:18<16:28:16, 1.24s/step] Training: 31%|███▏ | 22015/70000 [7:47:20<16:50:26, 1.26s/step] Training: 31%|███▏ | 22016/70000 [7:47:21<16:41:42, 1.25s/step] Training: 31%|███▏ | 22017/70000 [7:47:22<16:26:23, 1.23s/step] Training: 31%|███▏ | 22018/70000 [7:47:23<16:16:22, 1.22s/step] Training: 31%|███▏ | 22019/70000 [7:47:25<16:19:18, 1.22s/step] Training: 31%|███▏ | 22020/70000 [7:47:26<16:10:02, 1.21s/step] Training: 31%|███▏ | 22021/70000 [7:47:27<16:27:55, 1.24s/step] Training: 31%|███▏ | 22022/70000 [7:47:28<16:14:45, 1.22s/step] Training: 31%|███▏ | 22023/70000 [7:47:30<17:04:44, 1.28s/step] Training: 31%|███▏ | 22024/70000 [7:47:31<16:53:34, 1.27s/step] Training: 31%|███▏ | 22025/70000 [7:47:32<16:34:19, 1.24s/step] Training: 31%|███▏ | 22026/70000 [7:47:33<16:20:40, 1.23s/step] Training: 31%|███▏ | 22027/70000 [7:47:34<16:11:25, 1.21s/step] Training: 31%|███▏ | 22028/70000 [7:47:36<16:35:12, 1.24s/step] Training: 31%|███▏ | 22029/70000 [7:47:37<16:59:44, 1.28s/step] Training: 31%|███▏ | 22030/70000 [7:47:38<16:36:01, 1.25s/step] Training: 31%|███▏ | 22031/70000 [7:47:40<16:54:56, 1.27s/step] Training: 31%|███▏ | 22032/70000 [7:47:41<17:14:14, 1.29s/step] Training: 31%|███▏ | 22033/70000 [7:47:42<16:52:40, 1.27s/step] Training: 31%|███▏ | 22034/70000 [7:47:43<16:33:14, 1.24s/step] Training: 31%|███▏ | 22035/70000 [7:47:45<16:53:26, 1.27s/step] Training: 31%|███▏ | 22036/70000 [7:47:46<16:34:51, 1.24s/step] Training: 31%|███▏ | 22037/70000 [7:47:47<17:01:17, 1.28s/step] Training: 31%|███▏ | 22038/70000 [7:47:48<16:37:25, 1.25s/step] Training: 31%|███▏ | 22039/70000 [7:47:50<16:56:37, 1.27s/step] Training: 31%|███▏ | 22040/70000 [7:47:51<17:10:17, 1.29s/step] Training: 31%|███▏ | 22041/70000 [7:47:52<16:47:16, 1.26s/step] Training: 31%|███▏ | 22042/70000 [7:47:53<16:31:16, 1.24s/step] Training: 31%|███▏ | 22043/70000 [7:47:55<16:22:56, 1.23s/step] Training: 31%|███▏ | 22044/70000 [7:47:56<16:14:06, 1.22s/step] Training: 31%|███▏ | 22045/70000 [7:47:57<16:15:58, 1.22s/step] Training: 31%|███▏ | 22046/70000 [7:47:58<16:43:17, 1.26s/step] Training: 31%|███▏ | 22047/70000 [7:48:00<16:59:07, 1.28s/step] Training: 31%|███▏ | 22048/70000 [7:48:01<17:22:26, 1.30s/step] Training: 31%|███▏ | 22049/70000 [7:48:02<16:56:59, 1.27s/step] Training: 32%|███▏ | 22050/70000 [7:48:03<16:36:24, 1.25s/step] Training: 32%|███▏ | 22051/70000 [7:48:05<16:32:55, 1.24s/step] Training: 32%|███▏ | 22052/70000 [7:48:06<16:20:25, 1.23s/step] Training: 32%|███▏ | 22053/70000 [7:48:07<16:16:45, 1.22s/step] Training: 32%|███▏ | 22054/70000 [7:48:08<16:46:30, 1.26s/step] Training: 32%|███▏ | 22055/70000 [7:48:10<17:04:29, 1.28s/step] Training: 32%|███▏ | 22056/70000 [7:48:11<16:57:26, 1.27s/step] Training: 32%|███▏ | 22057/70000 [7:48:12<16:37:56, 1.25s/step] Training: 32%|███▏ | 22058/70000 [7:48:13<16:24:00, 1.23s/step] Training: 32%|███▏ | 22059/70000 [7:48:15<16:14:46, 1.22s/step] Training: 32%|███▏ | 22060/70000 [7:48:16<16:34:07, 1.24s/step] Training: 32%|███▏ | 22061/70000 [7:48:17<16:55:29, 1.27s/step] Training: 32%|███▏ | 22062/70000 [7:48:18<16:44:10, 1.26s/step] Training: 32%|███▏ | 22063/70000 [7:48:20<17:03:47, 1.28s/step] Training: 32%|███▏ | 22064/70000 [7:48:21<17:24:58, 1.31s/step] Training: 32%|███▏ | 22065/70000 [7:48:22<16:58:04, 1.27s/step] Training: 32%|███▏ | 22066/70000 [7:48:24<16:39:45, 1.25s/step] Training: 32%|███▏ | 22067/70000 [7:48:25<16:57:39, 1.27s/step] Training: 32%|███▏ | 22068/70000 [7:48:26<16:37:18, 1.25s/step] Training: 32%|███▏ | 22069/70000 [7:48:27<16:55:09, 1.27s/step] Training: 32%|███▏ | 22070/70000 [7:48:29<17:15:15, 1.30s/step] Training: 32%|███▏ | 22071/70000 [7:48:30<17:26:40, 1.31s/step] Training: 32%|███▏ | 22072/70000 [7:48:31<17:31:42, 1.32s/step] Training: 32%|███▏ | 22073/70000 [7:48:33<17:07:34, 1.29s/step] Training: 32%|███▏ | 22074/70000 [7:48:34<16:44:20, 1.26s/step] Training: 32%|███▏ | 22075/70000 [7:48:35<16:32:20, 1.24s/step] Training: 32%|███▏ | 22076/70000 [7:48:36<16:20:55, 1.23s/step] Training: 32%|███▏ | 22077/70000 [7:48:37<16:18:41, 1.23s/step] Training: 32%|███▏ | 22078/70000 [7:48:39<16:23:16, 1.23s/step] Training: 32%|███▏ | 22079/70000 [7:48:40<16:45:30, 1.26s/step] Training: 32%|███▏ | 22080/70000 [7:48:41<17:08:06, 1.29s/step] Training: 32%|███▏ | 22081/70000 [7:48:43<16:45:25, 1.26s/step] Training: 32%|███▏ | 22082/70000 [7:48:44<16:32:17, 1.24s/step] Training: 32%|███▏ | 22083/70000 [7:48:45<16:27:13, 1.24s/step] Training: 32%|███▏ | 22084/70000 [7:48:46<16:15:48, 1.22s/step] Training: 32%|███▏ | 22085/70000 [7:48:47<16:12:43, 1.22s/step] Training: 32%|███▏ | 22086/70000 [7:48:49<16:06:32, 1.21s/step] Training: 32%|███▏ | 22087/70000 [7:48:50<17:06:37, 1.29s/step] Training: 32%|███▏ | 22088/70000 [7:48:51<16:57:57, 1.27s/step] Training: 32%|███▏ | 22089/70000 [7:48:52<16:38:08, 1.25s/step] Training: 32%|███▏ | 22090/70000 [7:48:54<16:24:17, 1.23s/step] Training: 32%|███▏ | 22091/70000 [7:48:55<16:13:33, 1.22s/step] Training: 32%|███▏ | 22092/70000 [7:48:56<16:33:00, 1.24s/step] Training: 32%|███▏ | 22093/70000 [7:48:57<16:52:30, 1.27s/step] Training: 32%|███▏ | 22094/70000 [7:48:59<16:33:25, 1.24s/step] Training: 32%|███▏ | 22095/70000 [7:49:00<17:20:38, 1.30s/step] Training: 32%|███▏ | 22096/70000 [7:49:01<17:28:55, 1.31s/step] Training: 32%|███▏ | 22097/70000 [7:49:03<17:02:06, 1.28s/step] Training: 32%|███▏ | 22098/70000 [7:49:04<16:39:29, 1.25s/step] Training: 32%|███▏ | 22099/70000 [7:49:05<16:24:29, 1.23s/step] Training: 32%|███▏ | 22100/70000 [7:49:06<16:13:37, 1.22s/step]INFO 2026-03-13 03:58:58 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.73 loss:0.066 grdn:7.711 lr:2.0e-05 updt_s:1.233 data_s:0.018 Training: 32%|███▏ | 22101/70000 [7:49:08<16:38:33, 1.25s/step] Training: 32%|███▏ | 22102/70000 [7:49:09<16:24:18, 1.23s/step] Training: 32%|███▏ | 22103/70000 [7:49:10<16:52:01, 1.27s/step] Training: 32%|███▏ | 22104/70000 [7:49:11<17:09:52, 1.29s/step] Training: 32%|███▏ | 22105/70000 [7:49:13<16:46:31, 1.26s/step] Training: 32%|███▏ | 22106/70000 [7:49:14<16:29:28, 1.24s/step] Training: 32%|███▏ | 22107/70000 [7:49:15<16:26:28, 1.24s/step] Training: 32%|███▏ | 22108/70000 [7:49:16<16:15:33, 1.22s/step] Training: 32%|███▏ | 22109/70000 [7:49:17<16:18:50, 1.23s/step] Training: 32%|███▏ | 22110/70000 [7:49:19<16:09:34, 1.21s/step] Training: 32%|███▏ | 22111/70000 [7:49:20<16:36:51, 1.25s/step] Training: 32%|███▏ | 22112/70000 [7:49:21<17:12:50, 1.29s/step] Training: 32%|███▏ | 22113/70000 [7:49:23<16:49:13, 1.26s/step] Training: 32%|███▏ | 22114/70000 [7:49:24<16:30:51, 1.24s/step] Training: 32%|███▏ | 22115/70000 [7:49:25<16:27:16, 1.24s/step] Training: 32%|███▏ | 22116/70000 [7:49:26<16:16:29, 1.22s/step] Training: 32%|███▏ | 22117/70000 [7:49:27<16:12:04, 1.22s/step] Training: 32%|███▏ | 22118/70000 [7:49:29<16:05:59, 1.21s/step] Training: 32%|███▏ | 22119/70000 [7:49:30<16:33:44, 1.25s/step] Training: 32%|███▏ | 22120/70000 [7:49:31<17:05:16, 1.28s/step] Training: 32%|███▏ | 22121/70000 [7:49:32<16:40:27, 1.25s/step] Training: 32%|███▏ | 22122/70000 [7:49:34<16:24:59, 1.23s/step] Training: 32%|███▏ | 22123/70000 [7:49:35<16:15:02, 1.22s/step] Training: 32%|███▏ | 22124/70000 [7:49:36<16:35:00, 1.25s/step] Training: 32%|███▏ | 22125/70000 [7:49:37<16:55:18, 1.27s/step] Training: 32%|███▏ | 22126/70000 [7:49:39<16:35:38, 1.25s/step] Training: 32%|███▏ | 22127/70000 [7:49:40<17:03:57, 1.28s/step] Training: 32%|███▏ | 22128/70000 [7:49:41<17:25:25, 1.31s/step] Training: 32%|███▏ | 22129/70000 [7:49:43<16:56:33, 1.27s/step] Training: 32%|███▏ | 22130/70000 [7:49:44<16:36:31, 1.25s/step] Training: 32%|███▏ | 22131/70000 [7:49:45<16:23:15, 1.23s/step] Training: 32%|███▏ | 22132/70000 [7:49:46<16:13:24, 1.22s/step] Training: 32%|███▏ | 22133/70000 [7:49:48<16:39:14, 1.25s/step] Training: 32%|███▏ | 22134/70000 [7:49:49<16:24:30, 1.23s/step] Training: 32%|███▏ | 22135/70000 [7:49:50<17:04:43, 1.28s/step] Training: 32%|███▏ | 22136/70000 [7:49:52<17:34:06, 1.32s/step] Training: 32%|███▏ | 22137/70000 [7:49:53<17:03:16, 1.28s/step] Training: 32%|███▏ | 22138/70000 [7:49:54<16:40:59, 1.25s/step] Training: 32%|███▏ | 22139/70000 [7:49:55<16:35:24, 1.25s/step] Training: 32%|███▏ | 22140/70000 [7:49:56<16:22:07, 1.23s/step] Training: 32%|███▏ | 22141/70000 [7:49:58<16:24:15, 1.23s/step] Training: 32%|███▏ | 22142/70000 [7:49:59<16:16:15, 1.22s/step] Training: 32%|███▏ | 22143/70000 [7:50:00<16:43:53, 1.26s/step] Training: 32%|███▏ | 22144/70000 [7:50:01<17:08:34, 1.29s/step] Training: 32%|███▏ | 22145/70000 [7:50:03<16:43:59, 1.26s/step] Training: 32%|███▏ | 22146/70000 [7:50:04<16:30:05, 1.24s/step] Training: 32%|███▏ | 22147/70000 [7:50:05<16:19:24, 1.23s/step] Training: 32%|███▏ | 22148/70000 [7:50:06<16:10:43, 1.22s/step] Training: 32%|███▏ | 22149/70000 [7:50:07<16:08:19, 1.21s/step] Training: 32%|███▏ | 22150/70000 [7:50:09<16:03:59, 1.21s/step] Training: 32%|███▏ | 22151/70000 [7:50:10<16:34:11, 1.25s/step] Training: 32%|███▏ | 22152/70000 [7:50:11<16:40:30, 1.25s/step] Training: 32%|███▏ | 22153/70000 [7:50:13<17:38:23, 1.33s/step] Training: 32%|███▏ | 22154/70000 [7:50:14<17:04:19, 1.28s/step] Training: 32%|███▏ | 22155/70000 [7:50:15<17:14:45, 1.30s/step] Training: 32%|███▏ | 22156/70000 [7:50:16<16:49:34, 1.27s/step] Training: 32%|███▏ | 22157/70000 [7:50:18<17:03:23, 1.28s/step] Training: 32%|███▏ | 22158/70000 [7:50:19<16:41:18, 1.26s/step] Training: 32%|███▏ | 22159/70000 [7:50:20<17:01:34, 1.28s/step] Training: 32%|███▏ | 22160/70000 [7:50:22<17:19:50, 1.30s/step] Training: 32%|███▏ | 22161/70000 [7:50:23<17:09:57, 1.29s/step] Training: 32%|███▏ | 22162/70000 [7:50:24<16:44:44, 1.26s/step] Training: 32%|███▏ | 22163/70000 [7:50:25<16:27:13, 1.24s/step] Training: 32%|███▏ | 22164/70000 [7:50:27<16:45:59, 1.26s/step] Training: 32%|███▏ | 22165/70000 [7:50:28<17:00:53, 1.28s/step] Training: 32%|███▏ | 22166/70000 [7:50:29<16:39:02, 1.25s/step] Training: 32%|███▏ | 22167/70000 [7:50:30<17:02:41, 1.28s/step] Training: 32%|███▏ | 22168/70000 [7:50:32<17:25:01, 1.31s/step] Training: 32%|███▏ | 22169/70000 [7:50:33<17:08:58, 1.29s/step] Training: 32%|███▏ | 22170/70000 [7:50:34<16:42:47, 1.26s/step] Training: 32%|███▏ | 22171/70000 [7:50:35<16:26:32, 1.24s/step] Training: 32%|███▏ | 22172/70000 [7:50:37<16:42:34, 1.26s/step] Training: 32%|███▏ | 22173/70000 [7:50:38<16:35:27, 1.25s/step] Training: 32%|███▏ | 22174/70000 [7:50:39<16:21:07, 1.23s/step] Training: 32%|███▏ | 22175/70000 [7:50:41<16:50:20, 1.27s/step] Training: 32%|███▏ | 22176/70000 [7:50:42<17:38:52, 1.33s/step] Training: 32%|███▏ | 22177/70000 [7:50:43<17:05:56, 1.29s/step] Training: 32%|███▏ | 22178/70000 [7:50:45<17:23:59, 1.31s/step] Training: 32%|███▏ | 22179/70000 [7:50:46<16:53:43, 1.27s/step] Training: 32%|███▏ | 22180/70000 [7:50:47<16:33:36, 1.25s/step] Training: 32%|███▏ | 22181/70000 [7:50:48<16:26:25, 1.24s/step] Training: 32%|███▏ | 22182/70000 [7:50:49<16:16:37, 1.23s/step] Training: 32%|███▏ | 22183/70000 [7:50:51<16:42:21, 1.26s/step] Training: 32%|███▏ | 22184/70000 [7:50:52<16:36:50, 1.25s/step] Training: 32%|███▏ | 22185/70000 [7:50:53<16:22:38, 1.23s/step] Training: 32%|███▏ | 22186/70000 [7:50:54<16:33:01, 1.25s/step] Training: 32%|███▏ | 22187/70000 [7:50:56<16:18:35, 1.23s/step] Training: 32%|███▏ | 22188/70000 [7:50:57<16:09:38, 1.22s/step] Training: 32%|███▏ | 22189/70000 [7:50:58<16:37:38, 1.25s/step] Training: 32%|███▏ | 22190/70000 [7:50:59<16:23:35, 1.23s/step] Training: 32%|███▏ | 22191/70000 [7:51:01<16:48:37, 1.27s/step] Training: 32%|███▏ | 22192/70000 [7:51:02<17:09:22, 1.29s/step] Training: 32%|███▏ | 22193/70000 [7:51:03<16:47:10, 1.26s/step] Training: 32%|███▏ | 22194/70000 [7:51:05<17:06:56, 1.29s/step] Training: 32%|███▏ | 22195/70000 [7:51:06<16:40:33, 1.26s/step] Training: 32%|███▏ | 22196/70000 [7:51:07<16:56:23, 1.28s/step] Training: 32%|███▏ | 22197/70000 [7:51:08<17:09:18, 1.29s/step] Training: 32%|███▏ | 22198/70000 [7:51:10<16:45:05, 1.26s/step] Training: 32%|███▏ | 22199/70000 [7:51:11<17:01:19, 1.28s/step] Training: 32%|███▏ | 22200/70000 [7:51:12<17:17:46, 1.30s/step]INFO 2026-03-13 04:01:04 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.82 loss:0.065 grdn:8.396 lr:2.0e-05 updt_s:1.240 data_s:0.018 Training: 32%|███▏ | 22201/70000 [7:51:13<16:51:19, 1.27s/step] Training: 32%|███▏ | 22202/70000 [7:51:15<17:14:42, 1.30s/step] Training: 32%|███▏ | 22203/70000 [7:51:16<16:45:55, 1.26s/step] Training: 32%|███▏ | 22204/70000 [7:51:17<16:34:12, 1.25s/step] Training: 32%|███▏ | 22205/70000 [7:51:18<16:27:03, 1.24s/step] Training: 32%|███▏ | 22206/70000 [7:51:20<16:15:58, 1.23s/step] Training: 32%|███▏ | 22207/70000 [7:51:21<16:43:19, 1.26s/step] Training: 32%|███▏ | 22208/70000 [7:51:22<17:21:04, 1.31s/step] Training: 32%|███▏ | 22209/70000 [7:51:24<16:53:23, 1.27s/step] Training: 32%|███▏ | 22210/70000 [7:51:25<16:32:52, 1.25s/step] Training: 32%|███▏ | 22211/70000 [7:51:26<16:55:55, 1.28s/step] Training: 32%|███▏ | 22212/70000 [7:51:27<17:06:05, 1.29s/step] Training: 32%|███▏ | 22213/70000 [7:51:29<16:51:05, 1.27s/step] Training: 32%|███▏ | 22214/70000 [7:51:30<16:33:10, 1.25s/step] Training: 32%|███▏ | 22215/70000 [7:51:31<16:54:45, 1.27s/step] Training: 32%|███▏ | 22216/70000 [7:51:32<16:42:27, 1.26s/step] Training: 32%|███▏ | 22217/70000 [7:51:34<16:27:12, 1.24s/step] Training: 32%|███▏ | 22218/70000 [7:51:35<16:14:43, 1.22s/step] Training: 32%|███▏ | 22219/70000 [7:51:36<16:46:13, 1.26s/step] Training: 32%|███▏ | 22220/70000 [7:51:37<17:00:07, 1.28s/step] Training: 32%|███▏ | 22221/70000 [7:51:39<17:14:17, 1.30s/step] Training: 32%|███▏ | 22222/70000 [7:51:40<16:49:35, 1.27s/step] Training: 32%|███▏ | 22223/70000 [7:51:41<17:05:06, 1.29s/step] Training: 32%|███▏ | 22224/70000 [7:51:43<17:17:52, 1.30s/step] Training: 32%|███▏ | 22225/70000 [7:51:44<16:50:44, 1.27s/step] Training: 32%|███▏ | 22226/70000 [7:51:45<16:32:42, 1.25s/step] Training: 32%|███▏ | 22227/70000 [7:51:46<16:49:48, 1.27s/step] Training: 32%|███▏ | 22228/70000 [7:51:48<17:02:28, 1.28s/step] Training: 32%|███▏ | 22229/70000 [7:51:49<17:13:08, 1.30s/step] Training: 32%|███▏ | 22230/70000 [7:51:50<16:48:02, 1.27s/step] Training: 32%|███▏ | 22231/70000 [7:51:52<17:00:56, 1.28s/step] Training: 32%|███▏ | 22232/70000 [7:51:53<17:16:07, 1.30s/step] Training: 32%|███▏ | 22233/70000 [7:51:54<16:50:57, 1.27s/step] Training: 32%|███▏ | 22234/70000 [7:51:55<16:32:20, 1.25s/step] Training: 32%|███▏ | 22235/70000 [7:51:57<16:57:13, 1.28s/step] Training: 32%|███▏ | 22236/70000 [7:51:58<16:38:00, 1.25s/step] Training: 32%|███▏ | 22237/70000 [7:51:59<16:31:05, 1.25s/step] Training: 32%|███▏ | 22238/70000 [7:52:00<16:18:31, 1.23s/step] Training: 32%|███▏ | 22239/70000 [7:52:02<16:44:25, 1.26s/step] Training: 32%|███▏ | 22240/70000 [7:52:03<17:01:36, 1.28s/step] Training: 32%|███▏ | 22241/70000 [7:52:04<16:39:47, 1.26s/step] Training: 32%|███▏ | 22242/70000 [7:52:05<16:23:37, 1.24s/step] Training: 32%|███▏ | 22243/70000 [7:52:07<16:23:49, 1.24s/step] Training: 32%|███▏ | 22244/70000 [7:52:08<16:43:55, 1.26s/step] Training: 32%|███▏ | 22245/70000 [7:52:09<16:31:39, 1.25s/step] Training: 32%|███▏ | 22246/70000 [7:52:10<16:18:19, 1.23s/step] Training: 32%|███▏ | 22247/70000 [7:52:12<16:41:56, 1.26s/step] Training: 32%|███▏ | 22248/70000 [7:52:13<16:43:05, 1.26s/step] Training: 32%|███▏ | 22249/70000 [7:52:14<16:27:18, 1.24s/step] Training: 32%|███▏ | 22250/70000 [7:52:15<16:15:31, 1.23s/step] Training: 32%|███▏ | 22251/70000 [7:52:16<16:07:09, 1.22s/step] Training: 32%|███▏ | 22252/70000 [7:52:18<17:02:04, 1.28s/step] Training: 32%|███▏ | 22253/70000 [7:52:19<17:12:43, 1.30s/step] Training: 32%|███▏ | 22254/70000 [7:52:20<16:47:15, 1.27s/step] Training: 32%|███▏ | 22255/70000 [7:52:22<17:04:30, 1.29s/step] Training: 32%|███▏ | 22256/70000 [7:52:23<17:18:39, 1.31s/step] Training: 32%|███▏ | 22257/70000 [7:52:24<16:51:46, 1.27s/step] Training: 32%|███▏ | 22258/70000 [7:52:25<16:32:01, 1.25s/step] Training: 32%|███▏ | 22259/70000 [7:52:27<16:18:52, 1.23s/step] Training: 32%|███▏ | 22260/70000 [7:52:28<17:05:35, 1.29s/step] Training: 32%|███▏ | 22261/70000 [7:52:29<17:17:10, 1.30s/step] Training: 32%|███▏ | 22262/70000 [7:52:31<16:49:52, 1.27s/step] Training: 32%|███▏ | 22263/70000 [7:52:32<17:05:35, 1.29s/step] Training: 32%|███▏ | 22264/70000 [7:52:33<17:27:39, 1.32s/step] Training: 32%|███▏ | 22265/70000 [7:52:34<16:59:03, 1.28s/step] Training: 32%|███▏ | 22266/70000 [7:52:36<16:37:31, 1.25s/step] Training: 32%|███▏ | 22267/70000 [7:52:37<16:21:24, 1.23s/step] Training: 32%|███▏ | 22268/70000 [7:52:38<16:48:51, 1.27s/step] Training: 32%|███▏ | 22269/70000 [7:52:39<16:36:16, 1.25s/step] Training: 32%|███▏ | 22270/70000 [7:52:41<16:20:46, 1.23s/step] Training: 32%|███▏ | 22271/70000 [7:52:42<16:44:32, 1.26s/step] Training: 32%|███▏ | 22272/70000 [7:52:43<17:01:20, 1.28s/step] Training: 32%|███▏ | 22273/70000 [7:52:44<16:39:26, 1.26s/step] Training: 32%|███▏ | 22274/70000 [7:52:46<16:22:44, 1.24s/step] Training: 32%|███▏ | 22275/70000 [7:52:47<16:11:13, 1.22s/step] Training: 32%|███▏ | 22276/70000 [7:52:48<16:38:45, 1.26s/step] Training: 32%|███▏ | 22277/70000 [7:52:50<16:59:32, 1.28s/step] Training: 32%|███▏ | 22278/70000 [7:52:51<16:35:28, 1.25s/step] Training: 32%|███▏ | 22279/70000 [7:52:52<16:54:50, 1.28s/step] Training: 32%|███▏ | 22280/70000 [7:52:53<17:07:09, 1.29s/step] Training: 32%|███▏ | 22281/70000 [7:52:55<16:42:24, 1.26s/step] Training: 32%|███▏ | 22282/70000 [7:52:56<16:25:10, 1.24s/step] Training: 32%|███▏ | 22283/70000 [7:52:57<16:13:10, 1.22s/step] Training: 32%|███▏ | 22284/70000 [7:52:58<16:37:45, 1.25s/step] Training: 32%|███▏ | 22285/70000 [7:53:00<17:16:49, 1.30s/step] Training: 32%|███▏ | 22286/70000 [7:53:01<16:50:11, 1.27s/step] Training: 32%|███▏ | 22287/70000 [7:53:02<17:03:43, 1.29s/step] Training: 32%|███▏ | 22288/70000 [7:53:04<17:48:07, 1.34s/step] Training: 32%|███▏ | 22289/70000 [7:53:05<17:12:00, 1.30s/step] Training: 32%|███▏ | 22290/70000 [7:53:06<16:46:54, 1.27s/step] Training: 32%|███▏ | 22291/70000 [7:53:07<16:30:25, 1.25s/step] Training: 32%|███▏ | 22292/70000 [7:53:09<16:48:48, 1.27s/step] Training: 32%|███▏ | 22293/70000 [7:53:10<17:22:32, 1.31s/step] Training: 32%|███▏ | 22294/70000 [7:53:11<16:54:04, 1.28s/step] Training: 32%|███▏ | 22295/70000 [7:53:13<17:09:57, 1.30s/step] Training: 32%|███▏ | 22296/70000 [7:53:14<17:25:33, 1.32s/step] Training: 32%|███▏ | 22297/70000 [7:53:15<16:58:21, 1.28s/step] Training: 32%|███▏ | 22298/70000 [7:53:16<16:34:27, 1.25s/step] Training: 32%|███▏ | 22299/70000 [7:53:17<16:20:26, 1.23s/step] Training: 32%|███▏ | 22300/70000 [7:53:19<16:15:35, 1.23s/step]INFO 2026-03-13 04:03:11 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.90 loss:0.062 grdn:7.489 lr:1.9e-05 updt_s:1.244 data_s:0.018 Training: 32%|███▏ | 22301/70000 [7:53:20<16:36:58, 1.25s/step] Training: 32%|███▏ | 22302/70000 [7:53:21<16:19:53, 1.23s/step] Training: 32%|███▏ | 22303/70000 [7:53:23<16:43:59, 1.26s/step] Training: 32%|███▏ | 22304/70000 [7:53:24<16:55:24, 1.28s/step] Training: 32%|███▏ | 22305/70000 [7:53:25<16:35:17, 1.25s/step] Training: 32%|███▏ | 22306/70000 [7:53:26<16:20:42, 1.23s/step] Training: 32%|███▏ | 22307/70000 [7:53:27<16:09:39, 1.22s/step] Training: 32%|███▏ | 22308/70000 [7:53:29<16:35:01, 1.25s/step] Training: 32%|███▏ | 22309/70000 [7:53:30<16:56:12, 1.28s/step] Training: 32%|███▏ | 22310/70000 [7:53:31<16:32:50, 1.25s/step] Training: 32%|███▏ | 22311/70000 [7:53:33<16:50:32, 1.27s/step] Training: 32%|███▏ | 22312/70000 [7:53:34<17:03:46, 1.29s/step] Training: 32%|███▏ | 22313/70000 [7:53:35<16:40:37, 1.26s/step] Training: 32%|███▏ | 22314/70000 [7:53:36<16:24:26, 1.24s/step] Training: 32%|███▏ | 22315/70000 [7:53:37<16:13:18, 1.22s/step] Training: 32%|███▏ | 22316/70000 [7:53:39<16:37:34, 1.26s/step] Training: 32%|███▏ | 22317/70000 [7:53:40<16:56:02, 1.28s/step] Training: 32%|███▏ | 22318/70000 [7:53:41<16:34:21, 1.25s/step] Training: 32%|███▏ | 22319/70000 [7:53:43<16:55:32, 1.28s/step] Training: 32%|███▏ | 22320/70000 [7:53:44<17:16:34, 1.30s/step] Training: 32%|███▏ | 22321/70000 [7:53:45<16:49:26, 1.27s/step] Training: 32%|███▏ | 22322/70000 [7:53:46<16:29:57, 1.25s/step] Training: 32%|███▏ | 22323/70000 [7:53:48<16:16:21, 1.23s/step] Training: 32%|███▏ | 22324/70000 [7:53:49<16:38:40, 1.26s/step] Training: 32%|███▏ | 22325/70000 [7:53:50<16:22:39, 1.24s/step] Training: 32%|███▏ | 22326/70000 [7:53:51<16:45:22, 1.27s/step] Training: 32%|███▏ | 22327/70000 [7:53:53<16:59:40, 1.28s/step] Training: 32%|███▏ | 22328/70000 [7:53:54<17:15:22, 1.30s/step] Training: 32%|███▏ | 22329/70000 [7:53:55<16:48:49, 1.27s/step] Training: 32%|███▏ | 22330/70000 [7:53:56<16:28:42, 1.24s/step] Training: 32%|███▏ | 22331/70000 [7:53:58<16:20:26, 1.23s/step] Training: 32%|███▏ | 22332/70000 [7:53:59<16:11:06, 1.22s/step] Training: 32%|███▏ | 22333/70000 [7:54:00<16:04:58, 1.21s/step] Training: 32%|███▏ | 22334/70000 [7:54:01<16:28:17, 1.24s/step] Training: 32%|███▏ | 22335/70000 [7:54:03<16:50:29, 1.27s/step] Training: 32%|███▏ | 22336/70000 [7:54:04<17:28:35, 1.32s/step] Training: 32%|███▏ | 22337/70000 [7:54:05<16:57:50, 1.28s/step] Training: 32%|███▏ | 22338/70000 [7:54:07<16:36:22, 1.25s/step] Training: 32%|███▏ | 22339/70000 [7:54:08<16:20:29, 1.23s/step] Training: 32%|███▏ | 22340/70000 [7:54:09<16:44:01, 1.26s/step] Training: 32%|███▏ | 22341/70000 [7:54:10<16:25:25, 1.24s/step] Training: 32%|███▏ | 22342/70000 [7:54:11<16:23:24, 1.24s/step] Training: 32%|███▏ | 22343/70000 [7:54:13<16:42:38, 1.26s/step] Training: 32%|███▏ | 22344/70000 [7:54:14<16:57:41, 1.28s/step] Training: 32%|███▏ | 22345/70000 [7:54:15<16:36:23, 1.25s/step] Training: 32%|███▏ | 22346/70000 [7:54:17<16:20:17, 1.23s/step] Training: 32%|███▏ | 22347/70000 [7:54:18<16:12:23, 1.22s/step] Training: 32%|███▏ | 22348/70000 [7:54:19<16:35:43, 1.25s/step] Training: 32%|███▏ | 22349/70000 [7:54:20<16:19:43, 1.23s/step] Training: 32%|███▏ | 22350/70000 [7:54:22<16:40:56, 1.26s/step] Training: 32%|███▏ | 22351/70000 [7:54:23<16:58:56, 1.28s/step] Training: 32%|███▏ | 22352/70000 [7:54:24<17:14:44, 1.30s/step] Training: 32%|███▏ | 22353/70000 [7:54:25<16:48:06, 1.27s/step] Training: 32%|███▏ | 22354/70000 [7:54:27<16:29:04, 1.25s/step] Training: 32%|███▏ | 22355/70000 [7:54:28<16:16:58, 1.23s/step] Training: 32%|███▏ | 22356/70000 [7:54:29<16:44:25, 1.26s/step] Training: 32%|███▏ | 22357/70000 [7:54:30<16:26:13, 1.24s/step] Training: 32%|███▏ | 22358/70000 [7:54:32<17:01:19, 1.29s/step] Training: 32%|███▏ | 22359/70000 [7:54:33<17:11:30, 1.30s/step] Training: 32%|███▏ | 22360/70000 [7:54:34<17:21:20, 1.31s/step] Training: 32%|███▏ | 22361/70000 [7:54:36<16:52:40, 1.28s/step] Training: 32%|███▏ | 22362/70000 [7:54:37<16:31:46, 1.25s/step] Training: 32%|███▏ | 22363/70000 [7:54:38<16:19:03, 1.23s/step] Training: 32%|███▏ | 22364/70000 [7:54:39<16:12:45, 1.23s/step] Training: 32%|███▏ | 22365/70000 [7:54:40<16:05:10, 1.22s/step] Training: 32%|███▏ | 22366/70000 [7:54:42<16:15:17, 1.23s/step] Training: 32%|███▏ | 22367/70000 [7:54:43<16:36:12, 1.25s/step] Training: 32%|███▏ | 22368/70000 [7:54:44<17:21:04, 1.31s/step] Training: 32%|███▏ | 22369/70000 [7:54:46<16:52:38, 1.28s/step] Training: 32%|███▏ | 22370/70000 [7:54:47<16:31:34, 1.25s/step] Training: 32%|███▏ | 22371/70000 [7:54:48<16:20:11, 1.23s/step] Training: 32%|███▏ | 22372/70000 [7:54:49<16:42:26, 1.26s/step] Training: 32%|███▏ | 22373/70000 [7:54:50<16:24:58, 1.24s/step] Training: 32%|███▏ | 22374/70000 [7:54:52<16:45:44, 1.27s/step] Training: 32%|███▏ | 22375/70000 [7:54:53<17:19:33, 1.31s/step] Training: 32%|███▏ | 22376/70000 [7:54:55<17:22:20, 1.31s/step] Training: 32%|███▏ | 22377/70000 [7:54:56<16:56:35, 1.28s/step] Training: 32%|███▏ | 22378/70000 [7:54:57<16:35:34, 1.25s/step] Training: 32%|███▏ | 22379/70000 [7:54:58<16:18:22, 1.23s/step] Training: 32%|███▏ | 22380/70000 [7:54:59<16:39:35, 1.26s/step] Training: 32%|███▏ | 22381/70000 [7:55:01<16:23:03, 1.24s/step] Training: 32%|███▏ | 22382/70000 [7:55:02<16:43:12, 1.26s/step] Training: 32%|███▏ | 22383/70000 [7:55:03<17:23:59, 1.32s/step] Training: 32%|███▏ | 22384/70000 [7:55:05<17:36:47, 1.33s/step] Training: 32%|███▏ | 22385/70000 [7:55:06<17:03:40, 1.29s/step] Training: 32%|███▏ | 22386/70000 [7:55:07<16:43:46, 1.26s/step] Training: 32%|███▏ | 22387/70000 [7:55:08<16:23:26, 1.24s/step] Training: 32%|███▏ | 22388/70000 [7:55:10<16:43:16, 1.26s/step] Training: 32%|███▏ | 22389/70000 [7:55:11<16:26:18, 1.24s/step] Training: 32%|███▏ | 22390/70000 [7:55:12<16:45:42, 1.27s/step] Training: 32%|███▏ | 22391/70000 [7:55:14<17:03:53, 1.29s/step] Training: 32%|███▏ | 22392/70000 [7:55:15<17:16:51, 1.31s/step] Training: 32%|███▏ | 22393/70000 [7:55:16<16:49:49, 1.27s/step] Training: 32%|███▏ | 22394/70000 [7:55:17<16:29:17, 1.25s/step] Training: 32%|███▏ | 22395/70000 [7:55:18<16:20:44, 1.24s/step] Training: 32%|███▏ | 22396/70000 [7:55:20<16:13:03, 1.23s/step] Training: 32%|███▏ | 22397/70000 [7:55:21<16:04:28, 1.22s/step] Training: 32%|███▏ | 22398/70000 [7:55:22<16:01:14, 1.21s/step] Training: 32%|███▏ | 22399/70000 [7:55:23<16:35:05, 1.25s/step] Training: 32%|███▏ | 22400/70000 [7:55:25<17:16:22, 1.31s/step]INFO 2026-03-13 04:05:17 ot_train.py:435 step:22K smpl:1M ep:5K epch:18.99 loss:0.059 grdn:7.659 lr:1.9e-05 updt_s:1.241 data_s:0.018 Training: 32%|███▏ | 22401/70000 [7:55:26<16:48:58, 1.27s/step] Training: 32%|███▏ | 22402/70000 [7:55:27<16:29:02, 1.25s/step] Training: 32%|███▏ | 22403/70000 [7:55:28<16:15:06, 1.23s/step] Training: 32%|███▏ | 22404/70000 [7:55:30<16:40:03, 1.26s/step] Training: 32%|███▏ | 22405/70000 [7:55:31<16:23:30, 1.24s/step] Training: 32%|███▏ | 22406/70000 [7:55:32<16:44:24, 1.27s/step] Training: 32%|███▏ | 22407/70000 [7:55:34<16:59:57, 1.29s/step] Training: 32%|███▏ | 22408/70000 [7:55:35<17:39:50, 1.34s/step] Training: 32%|███▏ | 22409/70000 [7:55:36<17:05:40, 1.29s/step] Training: 32%|███▏ | 22410/70000 [7:55:37<16:41:10, 1.26s/step] Training: 32%|███▏ | 22411/70000 [7:55:39<16:24:27, 1.24s/step] Training: 32%|███▏ | 22412/70000 [7:55:40<16:48:31, 1.27s/step] Training: 32%|███▏ | 22413/70000 [7:55:41<16:28:23, 1.25s/step] Training: 32%|███▏ | 22414/70000 [7:55:42<16:49:01, 1.27s/step] Training: 32%|███▏ | 22415/70000 [7:55:44<17:04:15, 1.29s/step] Training: 32%|███▏ | 22416/70000 [7:55:45<17:48:17, 1.35s/step] Training: 32%|███▏ | 22417/70000 [7:55:46<17:11:24, 1.30s/step] Training: 32%|███▏ | 22418/70000 [7:55:48<16:44:15, 1.27s/step] Training: 32%|███▏ | 22419/70000 [7:55:49<16:25:37, 1.24s/step] Training: 32%|███▏ | 22420/70000 [7:55:51<21:35:55, 1.63s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 32%|███▏ | 22421/70000 [7:55:56<32:16:26, 2.44s/step] Training: 32%|███▏ | 22422/70000 [7:55:57<28:04:21, 2.12s/step] Training: 32%|███▏ | 22423/70000 [7:55:59<25:07:52, 1.90s/step] Training: 32%|███▏ | 22424/70000 [7:56:00<23:35:28, 1.79s/step] Training: 32%|███▏ | 22425/70000 [7:56:01<21:13:41, 1.61s/step] Training: 32%|███▏ | 22426/70000 [7:56:02<19:34:41, 1.48s/step] Training: 32%|███▏ | 22427/70000 [7:56:04<18:24:26, 1.39s/step] Training: 32%|███▏ | 22428/70000 [7:56:05<17:36:50, 1.33s/step] Training: 32%|███▏ | 22429/70000 [7:56:06<17:43:16, 1.34s/step] Training: 32%|███▏ | 22430/70000 [7:56:07<17:11:55, 1.30s/step] Training: 32%|███▏ | 22431/70000 [7:56:09<17:18:31, 1.31s/step] Training: 32%|███▏ | 22432/70000 [7:56:10<17:45:14, 1.34s/step] Training: 32%|███▏ | 22433/70000 [7:56:11<17:07:08, 1.30s/step] Training: 32%|███▏ | 22434/70000 [7:56:12<16:42:22, 1.26s/step] Training: 32%|███▏ | 22435/70000 [7:56:14<16:24:24, 1.24s/step] Training: 32%|███▏ | 22436/70000 [7:56:15<16:12:24, 1.23s/step] Training: 32%|███▏ | 22437/70000 [7:56:16<16:03:27, 1.22s/step] Training: 32%|███▏ | 22438/70000 [7:56:17<16:30:51, 1.25s/step] Training: 32%|███▏ | 22439/70000 [7:56:19<16:50:32, 1.27s/step] Training: 32%|███▏ | 22440/70000 [7:56:20<16:42:13, 1.26s/step] Training: 32%|███▏ | 22441/70000 [7:56:21<16:25:25, 1.24s/step] Training: 32%|███▏ | 22442/70000 [7:56:22<16:12:35, 1.23s/step] Training: 32%|███▏ | 22443/70000 [7:56:24<16:04:00, 1.22s/step] Training: 32%|███▏ | 22444/70000 [7:56:25<16:00:33, 1.21s/step] Training: 32%|███▏ | 22445/70000 [7:56:26<15:55:05, 1.21s/step] Training: 32%|███▏ | 22446/70000 [7:56:27<16:27:18, 1.25s/step] Training: 32%|███▏ | 22447/70000 [7:56:29<16:49:18, 1.27s/step] Training: 32%|███▏ | 22448/70000 [7:56:30<17:07:11, 1.30s/step] Training: 32%|███▏ | 22449/70000 [7:56:31<17:17:49, 1.31s/step] Training: 32%|███▏ | 22450/70000 [7:56:32<16:48:59, 1.27s/step] Training: 32%|███▏ | 22451/70000 [7:56:34<16:29:39, 1.25s/step] Training: 32%|███▏ | 22452/70000 [7:56:35<16:26:00, 1.24s/step] Training: 32%|███▏ | 22453/70000 [7:56:36<16:12:50, 1.23s/step] Training: 32%|███▏ | 22454/70000 [7:56:37<16:37:49, 1.26s/step] Training: 32%|███▏ | 22455/70000 [7:56:39<16:57:13, 1.28s/step] Training: 32%|███▏ | 22456/70000 [7:56:40<17:11:39, 1.30s/step] Training: 32%|███▏ | 22457/70000 [7:56:41<17:20:59, 1.31s/step] Training: 32%|███▏ | 22458/70000 [7:56:43<16:49:45, 1.27s/step] Training: 32%|███▏ | 22459/70000 [7:56:44<16:29:10, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=56235 Training: 32%|███▏ | 22460/70000 [7:56:45<16:14:48, 1.23s/step] Training: 32%|███▏ | 22461/70000 [7:56:46<16:34:11, 1.25s/step] Training: 32%|███▏ | 22462/70000 [7:56:48<16:21:30, 1.24s/step] Training: 32%|███▏ | 22463/70000 [7:56:49<16:44:02, 1.27s/step] Training: 32%|███▏ | 22464/70000 [7:56:50<17:10:37, 1.30s/step] Training: 32%|███▏ | 22465/70000 [7:56:52<17:42:20, 1.34s/step] Training: 32%|███▏ | 22466/70000 [7:56:53<17:05:45, 1.29s/step] Training: 32%|███▏ | 22467/70000 [7:56:54<16:41:39, 1.26s/step] Training: 32%|███▏ | 22468/70000 [7:56:55<16:57:17, 1.28s/step] Training: 32%|███▏ | 22469/70000 [7:56:57<16:35:10, 1.26s/step] Training: 32%|███▏ | 22470/70000 [7:56:58<16:51:36, 1.28s/step] Training: 32%|███▏ | 22471/70000 [7:56:59<17:02:53, 1.29s/step] Training: 32%|███▏ | 22472/70000 [7:57:00<16:49:01, 1.27s/step] Training: 32%|███▏ | 22473/70000 [7:57:02<16:29:26, 1.25s/step] Training: 32%|███▏ | 22474/70000 [7:57:03<16:53:14, 1.28s/step] Training: 32%|███▏ | 22475/70000 [7:57:04<16:30:57, 1.25s/step] Training: 32%|███▏ | 22476/70000 [7:57:05<16:20:22, 1.24s/step] Training: 32%|███▏ | 22477/70000 [7:57:07<16:11:10, 1.23s/step] Training: 32%|███▏ | 22478/70000 [7:57:08<16:02:15, 1.21s/step] Training: 32%|███▏ | 22479/70000 [7:57:09<16:49:11, 1.27s/step] Training: 32%|███▏ | 22480/70000 [7:57:11<17:35:33, 1.33s/step] Training: 32%|███▏ | 22481/70000 [7:57:12<17:29:36, 1.33s/step] Training: 32%|███▏ | 22482/70000 [7:57:13<17:34:58, 1.33s/step] Training: 32%|███▏ | 22483/70000 [7:57:14<16:59:55, 1.29s/step] Training: 32%|███▏ | 22484/70000 [7:57:16<16:47:49, 1.27s/step] Training: 32%|███▏ | 22485/70000 [7:57:17<16:29:03, 1.25s/step] Training: 32%|███▏ | 22486/70000 [7:57:18<16:14:57, 1.23s/step] Training: 32%|███▏ | 22487/70000 [7:57:20<17:01:24, 1.29s/step] Training: 32%|███▏ | 22488/70000 [7:57:21<17:40:23, 1.34s/step] Training: 32%|███▏ | 22489/70000 [7:57:22<17:37:20, 1.34s/step] Training: 32%|███▏ | 22490/70000 [7:57:24<17:02:57, 1.29s/step] Training: 32%|███▏ | 22491/70000 [7:57:25<16:38:33, 1.26s/step] Training: 32%|███▏ | 22492/70000 [7:57:26<16:22:25, 1.24s/step] Training: 32%|███▏ | 22493/70000 [7:57:27<16:39:30, 1.26s/step] Training: 32%|███▏ | 22494/70000 [7:57:28<16:22:16, 1.24s/step] Training: 32%|███▏ | 22495/70000 [7:57:30<16:16:49, 1.23s/step] Training: 32%|███▏ | 22496/70000 [7:57:31<16:42:48, 1.27s/step] Training: 32%|███▏ | 22497/70000 [7:57:32<16:32:31, 1.25s/step] Training: 32%|███▏ | 22498/70000 [7:57:33<16:27:04, 1.25s/step] Training: 32%|███▏ | 22499/70000 [7:57:35<16:13:21, 1.23s/step] Training: 32%|███▏ | 22500/70000 [7:57:36<16:03:36, 1.22s/step]INFO 2026-03-13 04:07:28 ot_train.py:435 step:22K smpl:1M ep:5K epch:19.07 loss:0.058 grdn:7.545 lr:1.9e-05 updt_s:1.246 data_s:0.062 Training: 32%|███▏ | 22501/70000 [7:57:37<15:57:05, 1.21s/step] Training: 32%|███▏ | 22502/70000 [7:57:38<15:52:05, 1.20s/step] Training: 32%|███▏ | 22503/70000 [7:57:40<16:26:17, 1.25s/step] Training: 32%|███▏ | 22504/70000 [7:57:41<16:45:36, 1.27s/step] Training: 32%|███▏ | 22505/70000 [7:57:42<17:04:42, 1.29s/step] Training: 32%|███▏ | 22506/70000 [7:57:43<16:58:14, 1.29s/step] Training: 32%|███▏ | 22507/70000 [7:57:45<16:32:23, 1.25s/step] Training: 32%|███▏ | 22508/70000 [7:57:46<16:25:03, 1.24s/step] Training: 32%|███▏ | 22509/70000 [7:57:47<16:11:48, 1.23s/step] Training: 32%|███▏ | 22510/70000 [7:57:48<16:05:42, 1.22s/step] Training: 32%|███▏ | 22511/70000 [7:57:50<16:30:07, 1.25s/step] Training: 32%|███▏ | 22512/70000 [7:57:51<16:52:25, 1.28s/step] Training: 32%|███▏ | 22513/70000 [7:57:52<17:24:07, 1.32s/step] Training: 32%|███▏ | 22514/70000 [7:57:54<16:55:03, 1.28s/step] Training: 32%|███▏ | 22515/70000 [7:57:55<17:10:27, 1.30s/step] Training: 32%|███▏ | 22516/70000 [7:57:56<16:46:26, 1.27s/step] Training: 32%|███▏ | 22517/70000 [7:57:57<16:27:04, 1.25s/step] Training: 32%|███▏ | 22518/70000 [7:57:58<16:13:21, 1.23s/step] Training: 32%|███▏ | 22519/70000 [7:58:00<16:38:19, 1.26s/step] Training: 32%|███▏ | 22520/70000 [7:58:01<16:59:24, 1.29s/step] Training: 32%|███▏ | 22521/70000 [7:58:03<17:30:54, 1.33s/step] Training: 32%|███▏ | 22522/70000 [7:58:04<16:57:51, 1.29s/step] Training: 32%|███▏ | 22523/70000 [7:58:05<16:52:15, 1.28s/step] Training: 32%|███▏ | 22524/70000 [7:58:06<17:07:14, 1.30s/step] Training: 32%|███▏ | 22525/70000 [7:58:08<16:41:36, 1.27s/step] Training: 32%|███▏ | 22526/70000 [7:58:09<16:22:52, 1.24s/step] Training: 32%|███▏ | 22527/70000 [7:58:10<16:42:59, 1.27s/step] Training: 32%|███▏ | 22528/70000 [7:58:11<16:50:27, 1.28s/step] Training: 32%|███▏ | 22529/70000 [7:58:13<16:34:44, 1.26s/step] Training: 32%|███▏ | 22530/70000 [7:58:14<16:18:51, 1.24s/step] Training: 32%|███▏ | 22531/70000 [7:58:15<16:07:33, 1.22s/step] Training: 32%|███▏ | 22532/70000 [7:58:16<16:59:11, 1.29s/step] Training: 32%|███▏ | 22533/70000 [7:58:18<16:35:32, 1.26s/step] Training: 32%|███▏ | 22534/70000 [7:58:19<16:19:28, 1.24s/step] Training: 32%|███▏ | 22535/70000 [7:58:20<16:47:51, 1.27s/step] Training: 32%|███▏ | 22536/70000 [7:58:21<17:00:31, 1.29s/step] Training: 32%|███▏ | 22537/70000 [7:58:23<17:08:21, 1.30s/step] Training: 32%|███▏ | 22538/70000 [7:58:24<16:41:37, 1.27s/step] Training: 32%|███▏ | 22539/70000 [7:58:25<17:04:03, 1.29s/step] Training: 32%|███▏ | 22540/70000 [7:58:27<16:43:37, 1.27s/step] Training: 32%|███▏ | 22541/70000 [7:58:28<16:23:43, 1.24s/step] Training: 32%|███▏ | 22542/70000 [7:58:29<16:11:13, 1.23s/step] Training: 32%|███▏ | 22543/70000 [7:58:30<16:33:29, 1.26s/step] Training: 32%|███▏ | 22544/70000 [7:58:32<17:02:26, 1.29s/step] Training: 32%|███▏ | 22545/70000 [7:58:33<17:12:15, 1.31s/step] Training: 32%|███▏ | 22546/70000 [7:58:34<16:44:41, 1.27s/step] Training: 32%|███▏ | 22547/70000 [7:58:35<16:27:13, 1.25s/step] Training: 32%|███▏ | 22548/70000 [7:58:37<16:50:26, 1.28s/step] Training: 32%|███▏ | 22549/70000 [7:58:38<16:27:09, 1.25s/step] Training: 32%|███▏ | 22550/70000 [7:58:39<16:14:09, 1.23s/step] Training: 32%|███▏ | 22551/70000 [7:58:40<16:36:18, 1.26s/step] Training: 32%|███▏ | 22552/70000 [7:58:42<16:58:53, 1.29s/step] Training: 32%|███▏ | 22553/70000 [7:58:43<17:07:58, 1.30s/step] Training: 32%|███▏ | 22554/70000 [7:58:44<16:41:38, 1.27s/step] Training: 32%|███▏ | 22555/70000 [7:58:45<16:23:46, 1.24s/step] Training: 32%|███▏ | 22556/70000 [7:58:47<17:10:59, 1.30s/step] Training: 32%|███▏ | 22557/70000 [7:58:48<16:43:22, 1.27s/step] Training: 32%|███▏ | 22558/70000 [7:58:49<16:23:28, 1.24s/step] Training: 32%|███▏ | 22559/70000 [7:58:51<16:46:54, 1.27s/step] Training: 32%|███▏ | 22560/70000 [7:58:52<16:53:56, 1.28s/step] Training: 32%|███▏ | 22561/70000 [7:58:53<16:38:25, 1.26s/step] Training: 32%|███▏ | 22562/70000 [7:58:54<16:22:05, 1.24s/step] Training: 32%|███▏ | 22563/70000 [7:58:55<16:09:06, 1.23s/step] Training: 32%|███▏ | 22564/70000 [7:58:57<16:32:29, 1.26s/step] Training: 32%|███▏ | 22565/70000 [7:58:58<16:18:10, 1.24s/step] Training: 32%|███▏ | 22566/70000 [7:58:59<16:06:49, 1.22s/step] Training: 32%|███▏ | 22567/70000 [7:59:01<16:37:41, 1.26s/step] Training: 32%|███▏ | 22568/70000 [7:59:02<16:55:41, 1.28s/step] Training: 32%|███▏ | 22569/70000 [7:59:03<17:06:07, 1.30s/step] Training: 32%|███▏ | 22570/70000 [7:59:04<16:41:08, 1.27s/step] Training: 32%|███▏ | 22571/70000 [7:59:06<16:22:25, 1.24s/step] Training: 32%|███▏ | 22572/70000 [7:59:07<16:22:07, 1.24s/step] Training: 32%|███▏ | 22573/70000 [7:59:08<16:09:41, 1.23s/step] Training: 32%|███▏ | 22574/70000 [7:59:09<16:00:54, 1.22s/step] Training: 32%|███▏ | 22575/70000 [7:59:11<16:30:37, 1.25s/step] Training: 32%|███▏ | 22576/70000 [7:59:12<16:54:19, 1.28s/step] Training: 32%|███▏ | 22577/70000 [7:59:13<16:32:20, 1.26s/step] Training: 32%|███▏ | 22578/70000 [7:59:14<16:47:49, 1.28s/step] Training: 32%|███▏ | 22579/70000 [7:59:16<16:28:20, 1.25s/step] Training: 32%|███▏ | 22580/70000 [7:59:17<16:28:18, 1.25s/step] Training: 32%|███▏ | 22581/70000 [7:59:18<16:11:28, 1.23s/step] Training: 32%|███▏ | 22582/70000 [7:59:19<16:02:01, 1.22s/step] Training: 32%|███▏ | 22583/70000 [7:59:21<16:28:14, 1.25s/step] Training: 32%|███▏ | 22584/70000 [7:59:22<17:03:19, 1.29s/step] Training: 32%|███▏ | 22585/70000 [7:59:23<16:40:03, 1.27s/step] Training: 32%|███▏ | 22586/70000 [7:59:24<16:49:40, 1.28s/step] Training: 32%|███▏ | 22587/70000 [7:59:26<16:31:37, 1.25s/step] Training: 32%|███▏ | 22588/70000 [7:59:27<16:17:02, 1.24s/step] Training: 32%|███▏ | 22589/70000 [7:59:28<16:44:00, 1.27s/step] Training: 32%|███▏ | 22590/70000 [7:59:29<16:22:12, 1.24s/step] Training: 32%|███▏ | 22591/70000 [7:59:31<16:13:43, 1.23s/step] Training: 32%|███▏ | 22592/70000 [7:59:32<16:41:25, 1.27s/step] Training: 32%|███▏ | 22593/70000 [7:59:33<16:23:38, 1.24s/step] Training: 32%|███▏ | 22594/70000 [7:59:34<16:11:38, 1.23s/step] Training: 32%|███▏ | 22595/70000 [7:59:36<16:02:19, 1.22s/step] Training: 32%|███▏ | 22596/70000 [7:59:37<15:56:03, 1.21s/step] Training: 32%|███▏ | 22597/70000 [7:59:38<16:15:22, 1.23s/step] Training: 32%|███▏ | 22598/70000 [7:59:39<16:04:02, 1.22s/step] Training: 32%|███▏ | 22599/70000 [7:59:41<16:38:58, 1.26s/step] Training: 32%|███▏ | 22600/70000 [7:59:42<16:57:14, 1.29s/step]INFO 2026-03-13 04:09:34 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.16 loss:0.055 grdn:6.672 lr:1.9e-05 updt_s:1.240 data_s:0.019 Training: 32%|███▏ | 22601/70000 [7:59:43<16:35:13, 1.26s/step] Training: 32%|███▏ | 22602/70000 [7:59:44<16:46:15, 1.27s/step] Training: 32%|███▏ | 22603/70000 [7:59:46<16:27:11, 1.25s/step] Training: 32%|███▏ | 22604/70000 [7:59:47<16:14:39, 1.23s/step] Training: 32%|███▏ | 22605/70000 [7:59:48<16:50:04, 1.28s/step] Training: 32%|███▏ | 22606/70000 [7:59:49<16:26:01, 1.25s/step] Training: 32%|███▏ | 22607/70000 [7:59:51<16:44:48, 1.27s/step] Training: 32%|███▏ | 22608/70000 [7:59:52<17:14:26, 1.31s/step] Training: 32%|███▏ | 22609/70000 [7:59:53<16:46:22, 1.27s/step] Training: 32%|███▏ | 22610/70000 [7:59:55<17:01:02, 1.29s/step] Training: 32%|███▏ | 22611/70000 [7:59:56<16:36:21, 1.26s/step] Training: 32%|███▏ | 22612/70000 [7:59:57<16:19:35, 1.24s/step] Training: 32%|███▏ | 22613/70000 [7:59:58<16:46:43, 1.27s/step] Training: 32%|███▏ | 22614/70000 [8:00:00<16:24:11, 1.25s/step] Training: 32%|███▏ | 22615/70000 [8:00:01<16:43:17, 1.27s/step] Training: 32%|███▏ | 22616/70000 [8:00:02<17:27:41, 1.33s/step] Training: 32%|███▏ | 22617/70000 [8:00:04<16:56:47, 1.29s/step] Training: 32%|███▏ | 22618/70000 [8:00:05<16:39:29, 1.27s/step] Training: 32%|███▏ | 22619/70000 [8:00:06<16:22:06, 1.24s/step] Training: 32%|███▏ | 22620/70000 [8:00:07<16:11:57, 1.23s/step] Training: 32%|███▏ | 22621/70000 [8:00:08<16:33:07, 1.26s/step] Training: 32%|███▏ | 22622/70000 [8:00:10<16:55:29, 1.29s/step] Training: 32%|███▏ | 22623/70000 [8:00:11<17:08:41, 1.30s/step] Training: 32%|███▏ | 22624/70000 [8:00:12<17:08:33, 1.30s/step] Training: 32%|███▏ | 22625/70000 [8:00:14<16:41:58, 1.27s/step] Training: 32%|███▏ | 22626/70000 [8:00:15<16:55:37, 1.29s/step] Training: 32%|███▏ | 22627/70000 [8:00:16<16:33:14, 1.26s/step] Training: 32%|███▏ | 22628/70000 [8:00:17<16:16:47, 1.24s/step] Training: 32%|███▏ | 22629/70000 [8:00:19<16:36:58, 1.26s/step] Training: 32%|███▏ | 22630/70000 [8:00:20<16:56:22, 1.29s/step] Training: 32%|███▏ | 22631/70000 [8:00:21<17:13:51, 1.31s/step] Training: 32%|███▏ | 22632/70000 [8:00:23<17:18:50, 1.32s/step] Training: 32%|███▏ | 22633/70000 [8:00:24<16:49:42, 1.28s/step] Training: 32%|███▏ | 22634/70000 [8:00:25<17:03:33, 1.30s/step] Training: 32%|███▏ | 22635/70000 [8:00:26<16:38:22, 1.26s/step] Training: 32%|███▏ | 22636/70000 [8:00:28<16:22:11, 1.24s/step] Training: 32%|███▏ | 22637/70000 [8:00:29<16:12:02, 1.23s/step] Training: 32%|███▏ | 22638/70000 [8:00:30<16:35:45, 1.26s/step] Training: 32%|███▏ | 22639/70000 [8:00:31<16:51:09, 1.28s/step] Training: 32%|███▏ | 22640/70000 [8:00:33<17:30:46, 1.33s/step] Training: 32%|███▏ | 22641/70000 [8:00:34<16:57:51, 1.29s/step] Training: 32%|███▏ | 22642/70000 [8:00:35<16:34:38, 1.26s/step] Training: 32%|███▏ | 22643/70000 [8:00:37<16:49:29, 1.28s/step] Training: 32%|███▏ | 22644/70000 [8:00:38<16:28:18, 1.25s/step] Training: 32%|███▏ | 22645/70000 [8:00:39<16:45:22, 1.27s/step] Training: 32%|███▏ | 22646/70000 [8:00:40<17:05:54, 1.30s/step] Training: 32%|███▏ | 22647/70000 [8:00:42<17:13:35, 1.31s/step] Training: 32%|███▏ | 22648/70000 [8:00:43<17:42:47, 1.35s/step] Training: 32%|███▏ | 22649/70000 [8:00:44<17:07:04, 1.30s/step] Training: 32%|███▏ | 22650/70000 [8:00:46<16:39:53, 1.27s/step] Training: 32%|███▏ | 22651/70000 [8:00:47<16:51:51, 1.28s/step] Training: 32%|███▏ | 22652/70000 [8:00:48<16:29:53, 1.25s/step] Training: 32%|███▏ | 22653/70000 [8:00:49<16:45:00, 1.27s/step] Training: 32%|███▏ | 22654/70000 [8:00:51<16:38:44, 1.27s/step] Training: 32%|███▏ | 22655/70000 [8:00:52<16:50:31, 1.28s/step] Training: 32%|███▏ | 22656/70000 [8:00:53<16:55:09, 1.29s/step] Training: 32%|███▏ | 22657/70000 [8:00:55<16:32:02, 1.26s/step] Training: 32%|███▏ | 22658/70000 [8:00:56<16:47:46, 1.28s/step] Training: 32%|███▏ | 22659/70000 [8:00:57<16:27:08, 1.25s/step] Training: 32%|███▏ | 22660/70000 [8:00:58<16:13:20, 1.23s/step] Training: 32%|███▏ | 22661/70000 [8:01:00<16:34:57, 1.26s/step] Training: 32%|███▏ | 22662/70000 [8:01:01<16:17:44, 1.24s/step] Training: 32%|███▏ | 22663/70000 [8:01:02<17:07:01, 1.30s/step] Training: 32%|███▏ | 22664/70000 [8:01:04<17:13:49, 1.31s/step] Training: 32%|███▏ | 22665/70000 [8:01:05<16:45:19, 1.27s/step] Training: 32%|███▏ | 22666/70000 [8:01:06<16:58:19, 1.29s/step] Training: 32%|███▏ | 22667/70000 [8:01:07<16:34:05, 1.26s/step] Training: 32%|███▏ | 22668/70000 [8:01:08<16:16:33, 1.24s/step] Training: 32%|███▏ | 22669/70000 [8:01:10<16:08:44, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=26660 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=45832 Training: 32%|███▏ | 22670/70000 [8:01:11<15:59:56, 1.22s/step] Training: 32%|███▏ | 22671/70000 [8:01:12<16:46:11, 1.28s/step] Training: 32%|███▏ | 22672/70000 [8:01:14<17:15:28, 1.31s/step] Training: 32%|███▏ | 22673/70000 [8:01:15<16:47:15, 1.28s/step] Training: 32%|███▏ | 22674/70000 [8:01:16<16:35:32, 1.26s/step] Training: 32%|███▏ | 22675/70000 [8:01:17<16:21:51, 1.24s/step] Training: 32%|███▏ | 22676/70000 [8:01:18<16:08:37, 1.23s/step] Training: 32%|███▏ | 22677/70000 [8:01:20<16:32:38, 1.26s/step] Training: 32%|███▏ | 22678/70000 [8:01:21<16:16:01, 1.24s/step] Training: 32%|███▏ | 22679/70000 [8:01:22<16:44:23, 1.27s/step] Training: 32%|███▏ | 22680/70000 [8:01:24<17:13:14, 1.31s/step] Training: 32%|███▏ | 22681/70000 [8:01:25<16:44:14, 1.27s/step] Training: 32%|███▏ | 22682/70000 [8:01:26<16:29:40, 1.25s/step] Training: 32%|███▏ | 22683/70000 [8:01:27<16:13:52, 1.23s/step] Training: 32%|███▏ | 22684/70000 [8:01:28<16:03:40, 1.22s/step] Training: 32%|███▏ | 22685/70000 [8:01:30<16:30:03, 1.26s/step] Training: 32%|███▏ | 22686/70000 [8:01:31<16:14:53, 1.24s/step] Training: 32%|███▏ | 22687/70000 [8:01:32<16:43:06, 1.27s/step] Training: 32%|███▏ | 22688/70000 [8:01:34<16:51:40, 1.28s/step] Training: 32%|███▏ | 22689/70000 [8:01:35<16:29:38, 1.26s/step] Training: 32%|███▏ | 22690/70000 [8:01:36<16:46:32, 1.28s/step] Training: 32%|███▏ | 22691/70000 [8:01:37<16:26:19, 1.25s/step] Training: 32%|███▏ | 22692/70000 [8:01:39<16:11:21, 1.23s/step] Training: 32%|███▏ | 22693/70000 [8:01:40<16:33:05, 1.26s/step] Training: 32%|███▏ | 22694/70000 [8:01:41<16:16:32, 1.24s/step] Training: 32%|███▏ | 22695/70000 [8:01:42<16:46:01, 1.28s/step] Training: 32%|███▏ | 22696/70000 [8:01:44<17:21:23, 1.32s/step] Training: 32%|███▏ | 22697/70000 [8:01:45<16:50:25, 1.28s/step] Training: 32%|███▏ | 22698/70000 [8:01:46<17:02:16, 1.30s/step] Training: 32%|███▏ | 22699/70000 [8:01:48<16:37:43, 1.27s/step] Training: 32%|███▏ | 22700/70000 [8:01:49<16:19:14, 1.24s/step]INFO 2026-03-13 04:11:41 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.24 loss:0.053 grdn:7.383 lr:1.9e-05 updt_s:1.248 data_s:0.018 Training: 32%|███▏ | 22701/70000 [8:01:50<16:10:32, 1.23s/step] Training: 32%|███▏ | 22702/70000 [8:01:51<16:01:04, 1.22s/step] Training: 32%|███▏ | 22703/70000 [8:01:53<16:25:53, 1.25s/step] Training: 32%|███▏ | 22704/70000 [8:01:54<17:27:23, 1.33s/step] Training: 32%|███▏ | 22705/70000 [8:01:55<16:54:20, 1.29s/step] Training: 32%|███▏ | 22706/70000 [8:01:56<16:40:36, 1.27s/step] Training: 32%|███▏ | 22707/70000 [8:01:58<16:22:31, 1.25s/step] Training: 32%|███▏ | 22708/70000 [8:01:59<16:10:17, 1.23s/step] Training: 32%|███▏ | 22709/70000 [8:02:00<16:33:28, 1.26s/step] Training: 32%|███▏ | 22710/70000 [8:02:01<16:16:40, 1.24s/step] Training: 32%|███▏ | 22711/70000 [8:02:03<16:39:18, 1.27s/step] Training: 32%|███▏ | 22712/70000 [8:02:04<17:44:59, 1.35s/step] Training: 32%|███▏ | 22713/70000 [8:02:06<17:39:51, 1.34s/step] Training: 32%|███▏ | 22714/70000 [8:02:07<17:07:48, 1.30s/step] Training: 32%|███▏ | 22715/70000 [8:02:08<16:41:30, 1.27s/step] Training: 32%|███▏ | 22716/70000 [8:02:09<16:21:53, 1.25s/step] Training: 32%|███▏ | 22717/70000 [8:02:10<16:43:54, 1.27s/step] Training: 32%|███▏ | 22718/70000 [8:02:12<16:25:49, 1.25s/step] Training: 32%|███▏ | 22719/70000 [8:02:13<16:15:25, 1.24s/step] Training: 32%|███▏ | 22720/70000 [8:02:14<17:07:50, 1.30s/step] Training: 32%|███▏ | 22721/70000 [8:02:16<17:07:20, 1.30s/step] Training: 32%|███▏ | 22722/70000 [8:02:17<17:14:47, 1.31s/step] Training: 32%|███▏ | 22723/70000 [8:02:18<16:46:01, 1.28s/step] Training: 32%|███▏ | 22724/70000 [8:02:19<16:25:19, 1.25s/step] Training: 32%|███▏ | 22725/70000 [8:02:21<16:43:25, 1.27s/step] Training: 32%|███▏ | 22726/70000 [8:02:22<16:24:10, 1.25s/step] Training: 32%|███▏ | 22727/70000 [8:02:23<17:03:11, 1.30s/step] Training: 32%|███▏ | 22728/70000 [8:02:25<17:13:06, 1.31s/step] Training: 32%|███▏ | 22729/70000 [8:02:26<16:44:20, 1.27s/step] Training: 32%|███▏ | 22730/70000 [8:02:27<16:55:54, 1.29s/step] Training: 32%|███▏ | 22731/70000 [8:02:28<16:31:59, 1.26s/step] Training: 32%|███▏ | 22732/70000 [8:02:30<16:15:26, 1.24s/step] Training: 32%|███▏ | 22733/70000 [8:02:31<16:13:21, 1.24s/step] Training: 32%|███▏ | 22734/70000 [8:02:32<16:02:48, 1.22s/step] Training: 32%|███▏ | 22735/70000 [8:02:33<16:31:02, 1.26s/step] Training: 32%|███▏ | 22736/70000 [8:02:35<16:47:01, 1.28s/step] Training: 32%|███▏ | 22737/70000 [8:02:36<17:10:40, 1.31s/step] Training: 32%|███▏ | 22738/70000 [8:02:37<16:50:20, 1.28s/step] Training: 32%|███▏ | 22739/70000 [8:02:38<16:27:02, 1.25s/step] Training: 32%|███▏ | 22740/70000 [8:02:40<16:12:56, 1.24s/step] Training: 32%|███▏ | 22741/70000 [8:02:41<16:34:59, 1.26s/step] Training: 32%|███▏ | 22742/70000 [8:02:42<16:17:52, 1.24s/step] Training: 32%|███▏ | 22743/70000 [8:02:43<16:37:51, 1.27s/step] Training: 32%|███▏ | 22744/70000 [8:02:45<16:50:50, 1.28s/step] Training: 32%|███▏ | 22745/70000 [8:02:46<17:31:22, 1.33s/step] Training: 32%|███▏ | 22746/70000 [8:02:47<17:02:41, 1.30s/step] Training: 32%|███▏ | 22747/70000 [8:02:49<16:38:20, 1.27s/step] Training: 32%|███▏ | 22748/70000 [8:02:50<16:18:54, 1.24s/step] Training: 32%|███▏ | 22749/70000 [8:02:51<16:38:33, 1.27s/step] Training: 32%|███▎ | 22750/70000 [8:02:52<16:20:25, 1.24s/step] Training: 33%|███▎ | 22751/70000 [8:02:54<16:40:23, 1.27s/step] Training: 33%|███▎ | 22752/70000 [8:02:55<16:23:50, 1.25s/step] Training: 33%|███▎ | 22753/70000 [8:02:56<16:51:41, 1.28s/step] Training: 33%|███▎ | 22754/70000 [8:02:58<16:59:26, 1.29s/step] Training: 33%|███▎ | 22755/70000 [8:02:59<16:34:55, 1.26s/step] Training: 33%|███▎ | 22756/70000 [8:03:00<16:18:25, 1.24s/step] Training: 33%|███▎ | 22757/70000 [8:03:01<16:37:22, 1.27s/step] Training: 33%|███▎ | 22758/70000 [8:03:02<16:18:47, 1.24s/step] Training: 33%|███▎ | 22759/70000 [8:03:04<16:41:04, 1.27s/step] Training: 33%|███▎ | 22760/70000 [8:03:05<16:53:37, 1.29s/step] Training: 33%|███▎ | 22761/70000 [8:03:06<17:15:38, 1.32s/step] Training: 33%|███▎ | 22762/70000 [8:03:08<17:47:37, 1.36s/step] Training: 33%|███▎ | 22763/70000 [8:03:09<17:08:28, 1.31s/step] Training: 33%|███▎ | 22764/70000 [8:03:10<16:41:25, 1.27s/step] Training: 33%|███▎ | 22765/70000 [8:03:12<16:26:31, 1.25s/step] Training: 33%|███▎ | 22766/70000 [8:03:13<16:11:53, 1.23s/step] Training: 33%|███▎ | 22767/70000 [8:03:14<16:34:06, 1.26s/step] Training: 33%|███▎ | 22768/70000 [8:03:15<16:50:02, 1.28s/step] Training: 33%|███▎ | 22769/70000 [8:03:17<17:15:39, 1.32s/step] Training: 33%|███▎ | 22770/70000 [8:03:18<17:21:29, 1.32s/step] Training: 33%|███▎ | 22771/70000 [8:03:19<16:48:45, 1.28s/step] Training: 33%|███▎ | 22772/70000 [8:03:20<16:26:05, 1.25s/step] Training: 33%|███▎ | 22773/70000 [8:03:22<16:43:00, 1.27s/step] Training: 33%|███▎ | 22774/70000 [8:03:23<16:22:33, 1.25s/step] Training: 33%|███▎ | 22775/70000 [8:03:24<16:41:01, 1.27s/step] Training: 33%|███▎ | 22776/70000 [8:03:26<16:54:02, 1.29s/step] Training: 33%|███▎ | 22777/70000 [8:03:27<17:14:12, 1.31s/step] Training: 33%|███▎ | 22778/70000 [8:03:28<16:48:18, 1.28s/step] Training: 33%|███▎ | 22779/70000 [8:03:29<16:26:33, 1.25s/step] Training: 33%|███▎ | 22780/70000 [8:03:31<16:11:18, 1.23s/step] Training: 33%|███▎ | 22781/70000 [8:03:32<16:32:26, 1.26s/step] Training: 33%|███▎ | 22782/70000 [8:03:33<16:15:36, 1.24s/step] Training: 33%|███▎ | 22783/70000 [8:03:34<16:34:59, 1.26s/step] Training: 33%|███▎ | 22784/70000 [8:03:36<16:22:44, 1.25s/step] Training: 33%|███▎ | 22785/70000 [8:03:37<16:27:19, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=45832 Training: 33%|███▎ | 22786/70000 [8:03:38<16:51:29, 1.29s/step] Training: 33%|███▎ | 22787/70000 [8:03:39<16:28:40, 1.26s/step] Training: 33%|███▎ | 22788/70000 [8:03:41<16:13:26, 1.24s/step] Training: 33%|███▎ | 22789/70000 [8:03:42<16:32:34, 1.26s/step] Training: 33%|███▎ | 22790/70000 [8:03:43<16:15:39, 1.24s/step] Training: 33%|███▎ | 22791/70000 [8:03:44<16:35:28, 1.27s/step] Training: 33%|███▎ | 22792/70000 [8:03:46<16:51:32, 1.29s/step] Training: 33%|███▎ | 22793/70000 [8:03:47<17:16:20, 1.32s/step] Training: 33%|███▎ | 22794/70000 [8:03:49<17:20:17, 1.32s/step] Training: 33%|███▎ | 22795/70000 [8:03:50<16:49:14, 1.28s/step] Training: 33%|███▎ | 22796/70000 [8:03:51<16:26:40, 1.25s/step] Training: 33%|███▎ | 22797/70000 [8:03:52<16:15:23, 1.24s/step] Training: 33%|███▎ | 22798/70000 [8:03:53<16:04:29, 1.23s/step] Training: 33%|███▎ | 22799/70000 [8:03:55<16:28:25, 1.26s/step] Training: 33%|███▎ | 22800/70000 [8:03:56<16:46:02, 1.28s/step]INFO 2026-03-13 04:13:48 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.33 loss:0.055 grdn:7.701 lr:1.9e-05 updt_s:1.251 data_s:0.019 Training: 33%|███▎ | 22801/70000 [8:03:57<17:08:01, 1.31s/step] Training: 33%|███▎ | 22802/70000 [8:03:59<16:50:03, 1.28s/step] Training: 33%|███▎ | 22803/70000 [8:04:00<17:04:43, 1.30s/step] Training: 33%|███▎ | 22804/70000 [8:04:01<16:36:27, 1.27s/step] Training: 33%|███▎ | 22805/70000 [8:04:02<16:51:24, 1.29s/step] Training: 33%|███▎ | 22806/70000 [8:04:04<16:28:23, 1.26s/step] Training: 33%|███▎ | 22807/70000 [8:04:05<16:43:55, 1.28s/step] Training: 33%|███▎ | 22808/70000 [8:04:06<16:56:06, 1.29s/step] Training: 33%|███▎ | 22809/70000 [8:04:08<17:15:19, 1.32s/step] Training: 33%|███▎ | 22810/70000 [8:04:09<16:50:29, 1.28s/step] Training: 33%|███▎ | 22811/70000 [8:04:10<16:46:22, 1.28s/step] Training: 33%|███▎ | 22812/70000 [8:04:11<16:26:07, 1.25s/step] Training: 33%|███▎ | 22813/70000 [8:04:13<16:43:51, 1.28s/step] Training: 33%|███▎ | 22814/70000 [8:04:14<16:23:26, 1.25s/step] Training: 33%|███▎ | 22815/70000 [8:04:15<16:42:09, 1.27s/step] Training: 33%|███▎ | 22816/70000 [8:04:16<16:27:17, 1.26s/step] Training: 33%|███▎ | 22817/70000 [8:04:18<16:25:48, 1.25s/step] Training: 33%|███▎ | 22818/70000 [8:04:19<16:43:51, 1.28s/step] Training: 33%|███▎ | 22819/70000 [8:04:20<16:23:44, 1.25s/step] Training: 33%|███▎ | 22820/70000 [8:04:22<16:48:51, 1.28s/step] Training: 33%|███▎ | 22821/70000 [8:04:23<17:00:07, 1.30s/step] Training: 33%|███▎ | 22822/70000 [8:04:24<16:34:20, 1.26s/step] Training: 33%|███▎ | 22823/70000 [8:04:25<16:50:19, 1.28s/step] Training: 33%|███▎ | 22824/70000 [8:04:27<17:01:57, 1.30s/step] Training: 33%|███▎ | 22825/70000 [8:04:28<17:18:48, 1.32s/step] Training: 33%|███▎ | 22826/70000 [8:04:29<17:19:49, 1.32s/step] Training: 33%|███▎ | 22827/70000 [8:04:31<17:30:00, 1.34s/step] Training: 33%|███▎ | 22828/70000 [8:04:32<16:53:40, 1.29s/step] Training: 33%|███▎ | 22829/70000 [8:04:33<16:34:56, 1.27s/step] Training: 33%|███▎ | 22830/70000 [8:04:34<16:17:03, 1.24s/step] Training: 33%|███▎ | 22831/70000 [8:04:36<16:38:35, 1.27s/step] Training: 33%|███▎ | 22832/70000 [8:04:37<16:53:31, 1.29s/step] Training: 33%|███▎ | 22833/70000 [8:04:38<17:09:11, 1.31s/step] Training: 33%|███▎ | 22834/70000 [8:04:40<16:49:45, 1.28s/step] Training: 33%|███▎ | 22835/70000 [8:04:41<16:28:41, 1.26s/step] Training: 33%|███▎ | 22836/70000 [8:04:42<16:50:26, 1.29s/step] Training: 33%|███▎ | 22837/70000 [8:04:43<16:56:54, 1.29s/step] Training: 33%|███▎ | 22838/70000 [8:04:45<16:32:14, 1.26s/step] Training: 33%|███▎ | 22839/70000 [8:04:46<16:45:40, 1.28s/step] Training: 33%|███▎ | 22840/70000 [8:04:47<16:56:32, 1.29s/step] Training: 33%|███▎ | 22841/70000 [8:04:49<17:13:18, 1.31s/step] Training: 33%|███▎ | 22842/70000 [8:04:50<16:53:42, 1.29s/step] Training: 33%|███▎ | 22843/70000 [8:04:51<16:29:31, 1.26s/step] Training: 33%|███▎ | 22844/70000 [8:04:52<16:52:00, 1.29s/step] Training: 33%|███▎ | 22845/70000 [8:04:54<16:57:50, 1.30s/step] Training: 33%|███▎ | 22846/70000 [8:04:55<16:33:10, 1.26s/step] Training: 33%|███▎ | 22847/70000 [8:04:56<16:49:08, 1.28s/step] Training: 33%|███▎ | 22848/70000 [8:04:57<16:33:59, 1.26s/step] Training: 33%|███▎ | 22849/70000 [8:04:59<16:30:19, 1.26s/step] Training: 33%|███▎ | 22850/70000 [8:05:00<16:13:44, 1.24s/step] Training: 33%|███▎ | 22851/70000 [8:05:01<16:32:53, 1.26s/step] Training: 33%|███▎ | 22852/70000 [8:05:02<16:15:14, 1.24s/step] Training: 33%|███▎ | 22853/70000 [8:05:04<16:36:23, 1.27s/step] Training: 33%|███▎ | 22854/70000 [8:05:05<16:17:57, 1.24s/step] Training: 33%|███▎ | 22855/70000 [8:05:06<16:37:46, 1.27s/step] Training: 33%|███▎ | 22856/70000 [8:05:08<16:50:38, 1.29s/step] Training: 33%|███▎ | 22857/70000 [8:05:09<17:10:21, 1.31s/step] Training: 33%|███▎ | 22858/70000 [8:05:10<17:17:30, 1.32s/step] Training: 33%|███▎ | 22859/70000 [8:05:12<16:46:06, 1.28s/step] Training: 33%|███▎ | 22860/70000 [8:05:13<17:01:33, 1.30s/step] Training: 33%|███▎ | 22861/70000 [8:05:14<16:37:47, 1.27s/step] Training: 33%|███▎ | 22862/70000 [8:05:15<16:20:10, 1.25s/step] Training: 33%|███▎ | 22863/70000 [8:05:17<16:42:11, 1.28s/step] Training: 33%|███▎ | 22864/70000 [8:05:18<16:53:44, 1.29s/step] Training: 33%|███▎ | 22865/70000 [8:05:19<17:11:34, 1.31s/step] Training: 33%|███▎ | 22866/70000 [8:05:20<16:48:55, 1.28s/step] Training: 33%|███▎ | 22867/70000 [8:05:22<16:27:23, 1.26s/step] Training: 33%|███▎ | 22868/70000 [8:05:23<16:27:46, 1.26s/step] Training: 33%|███▎ | 22869/70000 [8:05:24<16:45:10, 1.28s/step] Training: 33%|███▎ | 22870/70000 [8:05:25<16:23:09, 1.25s/step] Training: 33%|███▎ | 22871/70000 [8:05:27<16:43:54, 1.28s/step] Training: 33%|███▎ | 22872/70000 [8:05:28<16:57:24, 1.30s/step] Training: 33%|███▎ | 22873/70000 [8:05:29<17:13:25, 1.32s/step] Training: 33%|███▎ | 22874/70000 [8:05:31<16:54:14, 1.29s/step] Training: 33%|███▎ | 22875/70000 [8:05:32<16:31:17, 1.26s/step] Training: 33%|███▎ | 22876/70000 [8:05:33<16:13:06, 1.24s/step] Training: 33%|███▎ | 22877/70000 [8:05:35<16:55:35, 1.29s/step] Training: 33%|███▎ | 22878/70000 [8:05:36<16:31:57, 1.26s/step] Training: 33%|███▎ | 22879/70000 [8:05:37<16:46:45, 1.28s/step] Training: 33%|███▎ | 22880/70000 [8:05:38<16:30:31, 1.26s/step] Training: 33%|███▎ | 22881/70000 [8:05:40<16:24:53, 1.25s/step] Training: 33%|███▎ | 22882/70000 [8:05:41<16:10:57, 1.24s/step] Training: 33%|███▎ | 22883/70000 [8:05:42<16:28:48, 1.26s/step] Training: 33%|███▎ | 22884/70000 [8:05:43<16:12:23, 1.24s/step] Training: 33%|███▎ | 22885/70000 [8:05:45<16:51:15, 1.29s/step] Training: 33%|███▎ | 22886/70000 [8:05:46<16:54:11, 1.29s/step] Training: 33%|███▎ | 22887/70000 [8:05:47<17:02:35, 1.30s/step] Training: 33%|███▎ | 22888/70000 [8:05:49<17:09:21, 1.31s/step] Training: 33%|███▎ | 22889/70000 [8:05:50<17:20:35, 1.33s/step] Training: 33%|███▎ | 22890/70000 [8:05:51<17:22:01, 1.33s/step] Training: 33%|███▎ | 22891/70000 [8:05:52<16:50:52, 1.29s/step] Training: 33%|███▎ | 22892/70000 [8:05:54<16:28:15, 1.26s/step] Training: 33%|███▎ | 22893/70000 [8:05:55<16:49:41, 1.29s/step] Training: 33%|███▎ | 22894/70000 [8:05:56<16:24:30, 1.25s/step] Training: 33%|███▎ | 22895/70000 [8:05:57<16:40:19, 1.27s/step] Training: 33%|███▎ | 22896/70000 [8:05:59<16:52:31, 1.29s/step] Training: 33%|███▎ | 22897/70000 [8:06:00<17:09:33, 1.31s/step] Training: 33%|███▎ | 22898/70000 [8:06:01<16:43:49, 1.28s/step] Training: 33%|███▎ | 22899/70000 [8:06:03<16:23:52, 1.25s/step] Training: 33%|███▎ | 22900/70000 [8:06:04<16:08:22, 1.23s/step]INFO 2026-03-13 04:15:56 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.41 loss:0.056 grdn:7.455 lr:1.9e-05 updt_s:1.257 data_s:0.018 Training: 33%|███▎ | 22901/70000 [8:06:05<16:40:46, 1.27s/step] Training: 33%|███▎ | 22902/70000 [8:06:06<16:20:00, 1.25s/step] Training: 33%|███▎ | 22903/70000 [8:06:08<16:39:27, 1.27s/step] Training: 33%|███▎ | 22904/70000 [8:06:09<16:54:30, 1.29s/step] Training: 33%|███▎ | 22905/70000 [8:06:10<17:14:11, 1.32s/step] Training: 33%|███▎ | 22906/70000 [8:06:12<16:53:19, 1.29s/step] Training: 33%|███▎ | 22907/70000 [8:06:13<16:30:35, 1.26s/step] Training: 33%|███▎ | 22908/70000 [8:06:14<16:13:39, 1.24s/step] Training: 33%|███▎ | 22909/70000 [8:06:15<16:35:58, 1.27s/step] Training: 33%|███▎ | 22910/70000 [8:06:17<17:29:07, 1.34s/step] Training: 33%|███▎ | 22911/70000 [8:06:18<17:24:31, 1.33s/step] Training: 33%|███▎ | 22912/70000 [8:06:19<16:53:08, 1.29s/step] Training: 33%|███▎ | 22913/70000 [8:06:21<16:42:05, 1.28s/step] Training: 33%|███▎ | 22914/70000 [8:06:22<16:20:20, 1.25s/step] Training: 33%|███▎ | 22915/70000 [8:06:23<16:35:20, 1.27s/step] Training: 33%|███▎ | 22916/70000 [8:06:24<16:16:55, 1.24s/step] Training: 33%|███▎ | 22917/70000 [8:06:25<16:14:02, 1.24s/step] Training: 33%|███▎ | 22918/70000 [8:06:27<17:07:56, 1.31s/step] Training: 33%|███▎ | 22919/70000 [8:06:28<17:09:58, 1.31s/step] Training: 33%|███▎ | 22920/70000 [8:06:30<17:16:44, 1.32s/step] Training: 33%|███▎ | 22921/70000 [8:06:31<17:28:34, 1.34s/step] Training: 33%|███▎ | 22922/70000 [8:06:32<16:53:54, 1.29s/step] Training: 33%|███▎ | 22923/70000 [8:06:33<16:30:40, 1.26s/step] Training: 33%|███▎ | 22924/70000 [8:06:35<16:13:48, 1.24s/step] Training: 33%|███▎ | 22925/70000 [8:06:36<16:04:55, 1.23s/step] Training: 33%|███▎ | 22926/70000 [8:06:37<16:30:52, 1.26s/step] Training: 33%|███▎ | 22927/70000 [8:06:38<16:44:11, 1.28s/step] Training: 33%|███▎ | 22928/70000 [8:06:40<16:54:50, 1.29s/step] Training: 33%|███▎ | 22929/70000 [8:06:41<17:10:25, 1.31s/step] Training: 33%|███▎ | 22930/70000 [8:06:42<16:44:43, 1.28s/step] Training: 33%|███▎ | 22931/70000 [8:06:44<16:23:43, 1.25s/step] Training: 33%|███▎ | 22932/70000 [8:06:45<16:10:22, 1.24s/step] Training: 33%|███▎ | 22933/70000 [8:06:46<16:31:08, 1.26s/step] Training: 33%|███▎ | 22934/70000 [8:06:47<16:56:21, 1.30s/step] Training: 33%|███▎ | 22935/70000 [8:06:49<17:03:17, 1.30s/step] Training: 33%|███▎ | 22936/70000 [8:06:50<17:09:31, 1.31s/step] Training: 33%|███▎ | 22937/70000 [8:06:51<17:22:50, 1.33s/step] Training: 33%|███▎ | 22938/70000 [8:06:53<16:59:40, 1.30s/step] Training: 33%|███▎ | 22939/70000 [8:06:54<16:35:02, 1.27s/step] Training: 33%|███▎ | 22940/70000 [8:06:55<16:17:35, 1.25s/step] Training: 33%|███▎ | 22941/70000 [8:06:56<16:36:07, 1.27s/step] Training: 33%|███▎ | 22942/70000 [8:06:58<16:28:56, 1.26s/step] Training: 33%|███▎ | 22943/70000 [8:06:59<16:43:06, 1.28s/step] Training: 33%|███▎ | 22944/70000 [8:07:00<16:28:44, 1.26s/step] Training: 33%|███▎ | 22945/70000 [8:07:01<16:30:08, 1.26s/step] Training: 33%|███▎ | 22946/70000 [8:07:03<16:14:22, 1.24s/step] Training: 33%|███▎ | 22947/70000 [8:07:04<16:33:04, 1.27s/step] Training: 33%|███▎ | 22948/70000 [8:07:05<16:15:30, 1.24s/step] Training: 33%|███▎ | 22949/70000 [8:07:06<16:14:27, 1.24s/step] Training: 33%|███▎ | 22950/70000 [8:07:08<16:02:43, 1.23s/step] Training: 33%|███▎ | 22951/70000 [8:07:09<17:01:08, 1.30s/step] Training: 33%|███▎ | 22952/70000 [8:07:10<17:06:52, 1.31s/step] Training: 33%|███▎ | 22953/70000 [8:07:12<17:20:52, 1.33s/step] Training: 33%|███▎ | 22954/70000 [8:07:13<16:49:39, 1.29s/step] Training: 33%|███▎ | 22955/70000 [8:07:14<16:27:54, 1.26s/step] Training: 33%|███▎ | 22956/70000 [8:07:15<16:11:38, 1.24s/step] Training: 33%|███▎ | 22957/70000 [8:07:17<16:04:22, 1.23s/step] Training: 33%|███▎ | 22958/70000 [8:07:18<15:56:12, 1.22s/step] Training: 33%|███▎ | 22959/70000 [8:07:19<16:48:17, 1.29s/step] Training: 33%|███▎ | 22960/70000 [8:07:20<16:59:12, 1.30s/step] Training: 33%|███▎ | 22961/70000 [8:07:22<17:13:38, 1.32s/step] Training: 33%|███▎ | 22962/70000 [8:07:23<16:52:33, 1.29s/step] Training: 33%|███▎ | 22963/70000 [8:07:24<16:28:54, 1.26s/step] Training: 33%|███▎ | 22964/70000 [8:07:25<16:11:35, 1.24s/step] Training: 33%|███▎ | 22965/70000 [8:07:27<16:33:13, 1.27s/step] Training: 33%|███▎ | 22966/70000 [8:07:28<16:15:05, 1.24s/step] Training: 33%|███▎ | 22967/70000 [8:07:29<16:41:05, 1.28s/step] Training: 33%|███▎ | 22968/70000 [8:07:31<16:50:05, 1.29s/step] Training: 33%|███▎ | 22969/70000 [8:07:32<17:08:50, 1.31s/step] Training: 33%|███▎ | 22970/70000 [8:07:33<16:44:16, 1.28s/step] Training: 33%|███▎ | 22971/70000 [8:07:34<16:22:16, 1.25s/step] Training: 33%|███▎ | 22972/70000 [8:07:36<16:07:20, 1.23s/step] Training: 33%|███▎ | 22973/70000 [8:07:37<16:28:13, 1.26s/step] Training: 33%|███▎ | 22974/70000 [8:07:38<16:10:59, 1.24s/step] Training: 33%|███▎ | 22975/70000 [8:07:39<16:38:05, 1.27s/step] Training: 33%|███▎ | 22976/70000 [8:07:41<16:21:08, 1.25s/step] Training: 33%|███▎ | 22977/70000 [8:07:42<16:22:26, 1.25s/step] Training: 33%|███▎ | 22978/70000 [8:07:43<16:41:12, 1.28s/step] Training: 33%|███▎ | 22979/70000 [8:07:44<16:22:13, 1.25s/step] Training: 33%|███▎ | 22980/70000 [8:07:46<16:07:42, 1.23s/step] Training: 33%|███▎ | 22981/70000 [8:07:47<16:08:02, 1.24s/step] Training: 33%|███▎ | 22982/70000 [8:07:48<15:57:15, 1.22s/step] Training: 33%|███▎ | 22983/70000 [8:07:49<16:22:01, 1.25s/step] Training: 33%|███▎ | 22984/70000 [8:07:51<17:12:22, 1.32s/step] Training: 33%|███▎ | 22985/70000 [8:07:52<17:23:38, 1.33s/step] Training: 33%|███▎ | 22986/70000 [8:07:54<17:21:51, 1.33s/step] Training: 33%|███▎ | 22987/70000 [8:07:55<16:49:47, 1.29s/step] Training: 33%|███▎ | 22988/70000 [8:07:56<16:26:55, 1.26s/step] Training: 33%|███▎ | 22989/70000 [8:07:57<16:11:54, 1.24s/step] Training: 33%|███▎ | 22990/70000 [8:07:58<16:00:31, 1.23s/step] Training: 33%|███▎ | 22991/70000 [8:08:00<16:23:59, 1.26s/step] Training: 33%|███▎ | 22992/70000 [8:08:01<17:13:20, 1.32s/step] Training: 33%|███▎ | 22993/70000 [8:08:02<17:24:55, 1.33s/step] Training: 33%|███▎ | 22994/70000 [8:08:04<17:02:35, 1.31s/step] Training: 33%|███▎ | 22995/70000 [8:08:05<16:36:15, 1.27s/step] Training: 33%|███▎ | 22996/70000 [8:08:06<16:16:41, 1.25s/step] Training: 33%|███▎ | 22997/70000 [8:08:07<16:34:04, 1.27s/step] Training: 33%|███▎ | 22998/70000 [8:08:09<16:14:53, 1.24s/step] Training: 33%|███▎ | 22999/70000 [8:08:10<16:34:59, 1.27s/step] Training: 33%|███▎ | 23000/70000 [8:08:11<17:11:02, 1.32s/step]INFO 2026-03-13 04:18:04 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.49 loss:0.056 grdn:7.039 lr:1.9e-05 updt_s:1.255 data_s:0.018 Training: 33%|███▎ | 23001/70000 [8:08:13<17:22:59, 1.33s/step] Training: 33%|███▎ | 23002/70000 [8:08:14<16:57:19, 1.30s/step] Training: 33%|███▎ | 23003/70000 [8:08:15<16:31:30, 1.27s/step] Training: 33%|███▎ | 23004/70000 [8:08:16<16:13:22, 1.24s/step] Training: 33%|███▎ | 23005/70000 [8:08:18<16:01:08, 1.23s/step] Training: 33%|███▎ | 23006/70000 [8:08:19<16:24:36, 1.26s/step] Training: 33%|███▎ | 23007/70000 [8:08:20<17:00:33, 1.30s/step] Training: 33%|███▎ | 23008/70000 [8:08:22<17:15:20, 1.32s/step] Training: 33%|███▎ | 23009/70000 [8:08:23<16:55:16, 1.30s/step] Training: 33%|███▎ | 23010/70000 [8:08:24<17:06:44, 1.31s/step] Training: 33%|███▎ | 23011/70000 [8:08:25<16:38:04, 1.27s/step] Training: 33%|███▎ | 23012/70000 [8:08:27<16:17:33, 1.25s/step] Training: 33%|███▎ | 23013/70000 [8:08:28<16:03:09, 1.23s/step] Training: 33%|███▎ | 23014/70000 [8:08:29<16:19:08, 1.25s/step] Training: 33%|███▎ | 23015/70000 [8:08:30<16:36:28, 1.27s/step] Training: 33%|███▎ | 23016/70000 [8:08:32<16:48:58, 1.29s/step] Training: 33%|███▎ | 23017/70000 [8:08:33<17:03:13, 1.31s/step] Training: 33%|███▎ | 23018/70000 [8:08:34<17:11:11, 1.32s/step] Training: 33%|███▎ | 23019/70000 [8:08:36<16:40:55, 1.28s/step] Training: 33%|███▎ | 23020/70000 [8:08:37<16:21:29, 1.25s/step] Training: 33%|███▎ | 23021/70000 [8:08:38<16:05:24, 1.23s/step] Training: 33%|███▎ | 23022/70000 [8:08:39<16:28:04, 1.26s/step] Training: 33%|███▎ | 23023/70000 [8:08:41<16:43:39, 1.28s/step] Training: 33%|███▎ | 23024/70000 [8:08:42<16:55:52, 1.30s/step] Training: 33%|███▎ | 23025/70000 [8:08:43<17:34:53, 1.35s/step] Training: 33%|███▎ | 23026/70000 [8:08:45<17:13:00, 1.32s/step] Training: 33%|███▎ | 23027/70000 [8:08:46<16:42:04, 1.28s/step] Training: 33%|███▎ | 23028/70000 [8:08:47<16:22:05, 1.25s/step] Training: 33%|███▎ | 23029/70000 [8:08:48<16:06:32, 1.23s/step] Training: 33%|███▎ | 23030/70000 [8:08:50<16:28:27, 1.26s/step] Training: 33%|███▎ | 23031/70000 [8:08:51<16:22:47, 1.26s/step] Training: 33%|███▎ | 23032/70000 [8:08:52<16:42:04, 1.28s/step] Training: 33%|███▎ | 23033/70000 [8:08:53<16:50:26, 1.29s/step] Training: 33%|███▎ | 23034/70000 [8:08:55<16:31:59, 1.27s/step] Training: 33%|███▎ | 23035/70000 [8:08:56<16:13:31, 1.24s/step] Training: 33%|███▎ | 23036/70000 [8:08:57<16:00:47, 1.23s/step] Training: 33%|███▎ | 23037/70000 [8:08:58<15:53:05, 1.22s/step] Training: 33%|███▎ | 23038/70000 [8:09:00<15:55:38, 1.22s/step] Training: 33%|███▎ | 23039/70000 [8:09:01<16:20:54, 1.25s/step] Training: 33%|███▎ | 23040/70000 [8:09:02<16:13:12, 1.24s/step] Training: 33%|███▎ | 23041/70000 [8:09:03<16:42:02, 1.28s/step] Training: 33%|███▎ | 23042/70000 [8:09:05<16:55:24, 1.30s/step] Training: 33%|███▎ | 23043/70000 [8:09:06<16:30:18, 1.27s/step] Training: 33%|███▎ | 23044/70000 [8:09:07<16:11:33, 1.24s/step] Training: 33%|███▎ | 23045/70000 [8:09:08<15:59:24, 1.23s/step] Training: 33%|███▎ | 23046/70000 [8:09:10<15:55:24, 1.22s/step] Training: 33%|███▎ | 23047/70000 [8:09:11<16:20:38, 1.25s/step] Training: 33%|███▎ | 23048/70000 [8:09:12<16:37:51, 1.28s/step] Training: 33%|███▎ | 23049/70000 [8:09:14<16:55:49, 1.30s/step] Training: 33%|███▎ | 23050/70000 [8:09:15<17:33:25, 1.35s/step] Training: 33%|███▎ | 23051/70000 [8:09:16<16:56:20, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56235 Training: 33%|███▎ | 23052/70000 [8:09:17<16:30:06, 1.27s/step] Training: 33%|███▎ | 23053/70000 [8:09:19<16:11:49, 1.24s/step] Training: 33%|███▎ | 23054/70000 [8:09:20<16:31:31, 1.27s/step] Training: 33%|███▎ | 23055/70000 [8:09:21<16:45:18, 1.28s/step] Training: 33%|███▎ | 23056/70000 [8:09:23<16:55:43, 1.30s/step] Training: 33%|███▎ | 23057/70000 [8:09:24<17:03:53, 1.31s/step] Training: 33%|███▎ | 23058/70000 [8:09:25<17:11:57, 1.32s/step] Training: 33%|███▎ | 23059/70000 [8:09:26<16:39:26, 1.28s/step] Training: 33%|███▎ | 23060/70000 [8:09:28<16:17:55, 1.25s/step] Training: 33%|███▎ | 23061/70000 [8:09:29<16:03:37, 1.23s/step] Training: 33%|███▎ | 23062/70000 [8:09:30<16:27:11, 1.26s/step] Training: 33%|███▎ | 23063/70000 [8:09:31<16:16:04, 1.25s/step] Training: 33%|███▎ | 23064/70000 [8:09:33<16:35:57, 1.27s/step] Training: 33%|███▎ | 23065/70000 [8:09:34<16:25:11, 1.26s/step] Training: 33%|███▎ | 23066/70000 [8:09:35<16:12:32, 1.24s/step] Training: 33%|███▎ | 23067/70000 [8:09:36<15:58:54, 1.23s/step] Training: 33%|███▎ | 23068/70000 [8:09:37<15:50:07, 1.21s/step] Training: 33%|███▎ | 23069/70000 [8:09:39<15:43:19, 1.21s/step] Training: 33%|███▎ | 23070/70000 [8:09:40<15:50:16, 1.21s/step] Training: 33%|███▎ | 23071/70000 [8:09:41<16:19:51, 1.25s/step] Training: 33%|███▎ | 23072/70000 [8:09:42<16:09:02, 1.24s/step] Training: 33%|███▎ | 23073/70000 [8:09:44<16:06:05, 1.24s/step] Training: 33%|███▎ | 23074/70000 [8:09:45<16:35:30, 1.27s/step] Training: 33%|███▎ | 23075/70000 [8:09:46<16:15:59, 1.25s/step] Training: 33%|███▎ | 23076/70000 [8:09:47<16:03:22, 1.23s/step] Training: 33%|███▎ | 23077/70000 [8:09:49<15:52:59, 1.22s/step] Training: 33%|███▎ | 23078/70000 [8:09:50<15:52:52, 1.22s/step] Training: 33%|███▎ | 23079/70000 [8:09:51<16:20:53, 1.25s/step] Training: 33%|███▎ | 23080/70000 [8:09:52<16:41:19, 1.28s/step] Training: 33%|███▎ | 23081/70000 [8:09:54<16:52:20, 1.29s/step] Training: 33%|███▎ | 23082/70000 [8:09:55<17:00:27, 1.30s/step] Training: 33%|███▎ | 23083/70000 [8:09:56<16:32:32, 1.27s/step] Training: 33%|███▎ | 23084/70000 [8:09:58<16:13:37, 1.25s/step] Training: 33%|███▎ | 23085/70000 [8:09:59<16:00:01, 1.23s/step] Training: 33%|███▎ | 23086/70000 [8:10:00<16:22:30, 1.26s/step] Training: 33%|███▎ | 23087/70000 [8:10:01<16:39:49, 1.28s/step] Training: 33%|███▎ | 23088/70000 [8:10:03<16:54:05, 1.30s/step] Training: 33%|███▎ | 23089/70000 [8:10:04<17:01:05, 1.31s/step] Training: 33%|███▎ | 23090/70000 [8:10:05<16:42:18, 1.28s/step] Training: 33%|███▎ | 23091/70000 [8:10:07<16:57:24, 1.30s/step] Training: 33%|███▎ | 23092/70000 [8:10:08<16:27:49, 1.26s/step] Training: 33%|███▎ | 23093/70000 [8:10:09<16:10:52, 1.24s/step] Training: 33%|███▎ | 23094/70000 [8:10:10<16:33:03, 1.27s/step] Training: 33%|███▎ | 23095/70000 [8:10:12<16:39:25, 1.28s/step] Training: 33%|███▎ | 23096/70000 [8:10:13<16:58:43, 1.30s/step] Training: 33%|███▎ | 23097/70000 [8:10:14<17:06:48, 1.31s/step] Training: 33%|███▎ | 23098/70000 [8:10:16<16:47:26, 1.29s/step] Training: 33%|███▎ | 23099/70000 [8:10:17<16:41:18, 1.28s/step] Training: 33%|███▎ | 23100/70000 [8:10:18<16:19:49, 1.25s/step]INFO 2026-03-13 04:20:10 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.58 loss:0.057 grdn:7.545 lr:1.9e-05 updt_s:1.245 data_s:0.019 Training: 33%|███▎ | 23101/70000 [8:10:19<16:04:13, 1.23s/step] Training: 33%|███▎ | 23102/70000 [8:10:20<16:03:13, 1.23s/step] Training: 33%|███▎ | 23103/70000 [8:10:22<16:24:06, 1.26s/step] Training: 33%|███▎ | 23104/70000 [8:10:23<16:11:35, 1.24s/step] Training: 33%|███▎ | 23105/70000 [8:10:24<16:10:07, 1.24s/step] Training: 33%|███▎ | 23106/70000 [8:10:25<16:00:05, 1.23s/step] Training: 33%|███▎ | 23107/70000 [8:10:27<16:23:10, 1.26s/step] Training: 33%|███▎ | 23108/70000 [8:10:28<16:42:35, 1.28s/step] Training: 33%|███▎ | 23109/70000 [8:10:29<16:18:46, 1.25s/step] Training: 33%|███▎ | 23110/70000 [8:10:30<16:09:12, 1.24s/step] Training: 33%|███▎ | 23111/70000 [8:10:32<16:31:13, 1.27s/step] Training: 33%|███▎ | 23112/70000 [8:10:33<16:46:21, 1.29s/step] Training: 33%|███▎ | 23113/70000 [8:10:34<16:59:01, 1.30s/step] Training: 33%|███▎ | 23114/70000 [8:10:36<17:05:21, 1.31s/step] Training: 33%|███▎ | 23115/70000 [8:10:37<17:17:39, 1.33s/step] Training: 33%|███▎ | 23116/70000 [8:10:38<16:42:30, 1.28s/step] Training: 33%|███▎ | 23117/70000 [8:10:40<16:24:54, 1.26s/step] Training: 33%|███▎ | 23118/70000 [8:10:41<16:39:45, 1.28s/step] Training: 33%|███▎ | 23119/70000 [8:10:42<16:54:14, 1.30s/step] Training: 33%|███▎ | 23120/70000 [8:10:44<17:01:04, 1.31s/step] Training: 33%|███▎ | 23121/70000 [8:10:45<17:12:13, 1.32s/step] Training: 33%|███▎ | 23122/70000 [8:10:46<16:43:43, 1.28s/step] Training: 33%|███▎ | 23123/70000 [8:10:47<16:23:34, 1.26s/step] Training: 33%|███▎ | 23124/70000 [8:10:49<16:42:05, 1.28s/step] Training: 33%|███▎ | 23125/70000 [8:10:50<16:19:10, 1.25s/step] Training: 33%|███▎ | 23126/70000 [8:10:51<16:35:20, 1.27s/step] Training: 33%|███▎ | 23127/70000 [8:10:52<16:46:48, 1.29s/step] Training: 33%|███▎ | 23128/70000 [8:10:54<16:58:28, 1.30s/step] Training: 33%|███▎ | 23129/70000 [8:10:55<17:15:37, 1.33s/step] Training: 33%|███▎ | 23130/70000 [8:10:56<16:52:58, 1.30s/step] Training: 33%|███▎ | 23131/70000 [8:10:58<16:28:07, 1.26s/step] Training: 33%|███▎ | 23132/70000 [8:10:59<16:46:49, 1.29s/step] Training: 33%|███▎ | 23133/70000 [8:11:00<16:21:24, 1.26s/step] Training: 33%|███▎ | 23134/70000 [8:11:01<16:16:16, 1.25s/step] Training: 33%|███▎ | 23135/70000 [8:11:03<16:35:03, 1.27s/step] Training: 33%|███▎ | 23136/70000 [8:11:04<16:21:32, 1.26s/step] Training: 33%|███▎ | 23137/70000 [8:11:05<16:13:22, 1.25s/step] Training: 33%|███▎ | 23138/70000 [8:11:06<16:00:02, 1.23s/step] Training: 33%|███▎ | 23139/70000 [8:11:08<16:19:00, 1.25s/step] Training: 33%|███▎ | 23140/70000 [8:11:09<16:06:04, 1.24s/step] Training: 33%|███▎ | 23141/70000 [8:11:10<15:53:39, 1.22s/step] Training: 33%|███▎ | 23142/70000 [8:11:11<15:54:15, 1.22s/step] Training: 33%|███▎ | 23143/70000 [8:11:13<16:18:28, 1.25s/step] Training: 33%|███▎ | 23144/70000 [8:11:14<16:35:46, 1.28s/step] Training: 33%|███▎ | 23145/70000 [8:11:15<16:51:24, 1.30s/step] Training: 33%|███▎ | 23146/70000 [8:11:17<16:58:19, 1.30s/step] Training: 33%|███▎ | 23147/70000 [8:11:18<16:31:42, 1.27s/step] Training: 33%|███▎ | 23148/70000 [8:11:19<16:25:02, 1.26s/step] Training: 33%|███▎ | 23149/70000 [8:11:20<16:07:40, 1.24s/step] Training: 33%|███▎ | 23150/70000 [8:11:21<16:28:10, 1.27s/step] Training: 33%|███▎ | 23151/70000 [8:11:23<16:45:05, 1.29s/step] Training: 33%|███▎ | 23152/70000 [8:11:24<16:54:03, 1.30s/step] Training: 33%|███▎ | 23153/70000 [8:11:25<17:03:24, 1.31s/step] Training: 33%|███▎ | 23154/70000 [8:11:27<16:40:43, 1.28s/step] Training: 33%|███▎ | 23155/70000 [8:11:28<16:19:38, 1.25s/step] Training: 33%|███▎ | 23156/70000 [8:11:29<16:17:43, 1.25s/step] Training: 33%|███▎ | 23157/70000 [8:11:30<16:04:54, 1.24s/step] Training: 33%|███▎ | 23158/70000 [8:11:32<16:24:54, 1.26s/step] Training: 33%|███▎ | 23159/70000 [8:11:33<16:42:04, 1.28s/step] Training: 33%|███▎ | 23160/70000 [8:11:34<16:50:23, 1.29s/step] Training: 33%|███▎ | 23161/70000 [8:11:36<17:00:40, 1.31s/step] Training: 33%|███▎ | 23162/70000 [8:11:37<16:43:57, 1.29s/step] Training: 33%|███▎ | 23163/70000 [8:11:38<16:20:52, 1.26s/step] Training: 33%|███▎ | 23164/70000 [8:11:39<16:05:26, 1.24s/step] Training: 33%|███▎ | 23165/70000 [8:11:41<16:32:47, 1.27s/step] Training: 33%|███▎ | 23166/70000 [8:11:42<16:19:12, 1.25s/step] Training: 33%|███▎ | 23167/70000 [8:11:43<16:35:38, 1.28s/step] Training: 33%|███▎ | 23168/70000 [8:11:44<16:17:53, 1.25s/step] Training: 33%|███▎ | 23169/70000 [8:11:46<16:14:02, 1.25s/step] Training: 33%|███▎ | 23170/70000 [8:11:47<16:01:04, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=44412 Training: 33%|███▎ | 23171/70000 [8:11:48<16:19:40, 1.26s/step] Training: 33%|███▎ | 23172/70000 [8:11:49<16:03:31, 1.23s/step] Training: 33%|███▎ | 23173/70000 [8:11:51<16:16:06, 1.25s/step] Training: 33%|███▎ | 23174/70000 [8:11:52<16:04:41, 1.24s/step] Training: 33%|███▎ | 23175/70000 [8:11:53<16:25:25, 1.26s/step] Training: 33%|███▎ | 23176/70000 [8:11:54<16:39:43, 1.28s/step] Training: 33%|███▎ | 23177/70000 [8:11:56<16:51:23, 1.30s/step] Training: 33%|███▎ | 23178/70000 [8:11:57<16:58:08, 1.30s/step] Training: 33%|███▎ | 23179/70000 [8:11:58<16:31:40, 1.27s/step] Training: 33%|███▎ | 23180/70000 [8:11:59<16:14:10, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=26660 Training: 33%|███▎ | 23181/70000 [8:12:01<16:12:14, 1.25s/step] Training: 33%|███▎ | 23182/70000 [8:12:02<16:28:29, 1.27s/step] Training: 33%|███▎ | 23183/70000 [8:12:03<16:43:37, 1.29s/step] Training: 33%|███▎ | 23184/70000 [8:12:05<16:51:42, 1.30s/step] Training: 33%|███▎ | 23185/70000 [8:12:06<16:57:35, 1.30s/step] Training: 33%|███▎ | 23186/70000 [8:12:07<17:01:52, 1.31s/step] Training: 33%|███▎ | 23187/70000 [8:12:08<16:36:13, 1.28s/step] Training: 33%|███▎ | 23188/70000 [8:12:10<16:16:03, 1.25s/step] Training: 33%|███▎ | 23189/70000 [8:12:11<16:01:03, 1.23s/step] Training: 33%|███▎ | 23190/70000 [8:12:12<16:53:55, 1.30s/step] Training: 33%|███▎ | 23191/70000 [8:12:14<17:00:11, 1.31s/step] Training: 33%|███▎ | 23192/70000 [8:12:15<17:04:55, 1.31s/step] Training: 33%|███▎ | 23193/70000 [8:12:16<17:09:30, 1.32s/step] Training: 33%|███▎ | 23194/70000 [8:12:18<17:11:02, 1.32s/step] Training: 33%|███▎ | 23195/70000 [8:12:19<16:40:11, 1.28s/step] Training: 33%|███▎ | 23196/70000 [8:12:20<16:17:41, 1.25s/step] Training: 33%|███▎ | 23197/70000 [8:12:21<16:02:18, 1.23s/step] Training: 33%|███▎ | 23198/70000 [8:12:23<16:16:21, 1.25s/step] Training: 33%|███▎ | 23199/70000 [8:12:24<16:33:13, 1.27s/step] Training: 33%|███▎ | 23200/70000 [8:12:25<16:20:05, 1.26s/step]INFO 2026-03-13 04:22:17 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.66 loss:0.057 grdn:6.647 lr:1.9e-05 updt_s:1.250 data_s:0.018 Training: 33%|███▎ | 23201/70000 [8:12:26<16:11:10, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=45832 Training: 33%|███▎ | 23202/70000 [8:12:27<15:58:02, 1.23s/step] Training: 33%|███▎ | 23203/70000 [8:12:29<16:18:30, 1.25s/step] Training: 33%|███▎ | 23204/70000 [8:12:30<16:02:28, 1.23s/step] Training: 33%|███▎ | 23205/70000 [8:12:31<15:51:37, 1.22s/step] Training: 33%|███▎ | 23206/70000 [8:12:32<16:22:38, 1.26s/step] Training: 33%|███▎ | 23207/70000 [8:12:34<16:38:54, 1.28s/step] Training: 33%|███▎ | 23208/70000 [8:12:35<16:51:59, 1.30s/step] Training: 33%|███▎ | 23209/70000 [8:12:37<17:01:13, 1.31s/step] Training: 33%|███▎ | 23210/70000 [8:12:38<17:02:11, 1.31s/step] Training: 33%|███▎ | 23211/70000 [8:12:39<16:33:56, 1.27s/step] Training: 33%|███▎ | 23212/70000 [8:12:40<16:15:38, 1.25s/step] Training: 33%|███▎ | 23213/70000 [8:12:41<16:00:51, 1.23s/step] Training: 33%|███▎ | 23214/70000 [8:12:43<16:31:28, 1.27s/step] Training: 33%|███▎ | 23215/70000 [8:12:44<16:46:37, 1.29s/step] Training: 33%|███▎ | 23216/70000 [8:12:45<16:57:13, 1.30s/step] Training: 33%|███▎ | 23217/70000 [8:12:47<17:04:43, 1.31s/step] Training: 33%|███▎ | 23218/70000 [8:12:48<17:17:25, 1.33s/step] Training: 33%|███▎ | 23219/70000 [8:12:49<16:45:43, 1.29s/step] Training: 33%|███▎ | 23220/70000 [8:12:51<16:21:39, 1.26s/step] Training: 33%|███▎ | 23221/70000 [8:12:52<16:05:25, 1.24s/step] Training: 33%|███▎ | 23222/70000 [8:12:53<16:27:33, 1.27s/step] Training: 33%|███▎ | 23223/70000 [8:12:54<17:06:55, 1.32s/step] Training: 33%|███▎ | 23224/70000 [8:12:56<17:13:23, 1.33s/step] Training: 33%|███▎ | 23225/70000 [8:12:57<17:15:36, 1.33s/step] Training: 33%|███▎ | 23226/70000 [8:12:58<16:49:54, 1.30s/step] Training: 33%|███▎ | 23227/70000 [8:13:00<16:25:58, 1.26s/step] Training: 33%|███▎ | 23228/70000 [8:13:01<16:07:49, 1.24s/step] Training: 33%|███▎ | 23229/70000 [8:13:02<15:55:40, 1.23s/step] Training: 33%|███▎ | 23230/70000 [8:13:03<15:56:48, 1.23s/step] Training: 33%|███▎ | 23231/70000 [8:13:05<16:51:58, 1.30s/step] Training: 33%|███▎ | 23232/70000 [8:13:06<16:31:49, 1.27s/step] Training: 33%|███▎ | 23233/70000 [8:13:07<16:18:54, 1.26s/step] Training: 33%|███▎ | 23234/70000 [8:13:08<16:37:04, 1.28s/step] Training: 33%|███▎ | 23235/70000 [8:13:10<16:18:43, 1.26s/step] Training: 33%|███▎ | 23236/70000 [8:13:11<16:01:14, 1.23s/step] Training: 33%|███▎ | 23237/70000 [8:13:12<15:51:14, 1.22s/step] Training: 33%|███▎ | 23238/70000 [8:13:13<15:48:36, 1.22s/step] Training: 33%|███▎ | 23239/70000 [8:13:15<16:41:15, 1.28s/step] Training: 33%|███▎ | 23240/70000 [8:13:16<16:49:49, 1.30s/step] Training: 33%|███▎ | 23241/70000 [8:13:17<16:58:01, 1.31s/step] Training: 33%|███▎ | 23242/70000 [8:13:19<17:06:15, 1.32s/step] Training: 33%|███▎ | 23243/70000 [8:13:20<16:37:07, 1.28s/step] Training: 33%|███▎ | 23244/70000 [8:13:21<16:15:27, 1.25s/step] Training: 33%|███▎ | 23245/70000 [8:13:22<16:01:07, 1.23s/step] Training: 33%|███▎ | 23246/70000 [8:13:23<15:50:03, 1.22s/step] Training: 33%|███▎ | 23247/70000 [8:13:25<16:46:16, 1.29s/step] Training: 33%|███▎ | 23248/70000 [8:13:26<16:53:46, 1.30s/step] Training: 33%|███▎ | 23249/70000 [8:13:27<17:00:28, 1.31s/step] Training: 33%|███▎ | 23250/70000 [8:13:29<17:16:08, 1.33s/step] Training: 33%|███▎ | 23251/70000 [8:13:30<16:43:24, 1.29s/step] Training: 33%|███▎ | 23252/70000 [8:13:31<16:21:07, 1.26s/step] Training: 33%|███▎ | 23253/70000 [8:13:32<16:04:38, 1.24s/step] Training: 33%|███▎ | 23254/70000 [8:13:34<16:25:27, 1.26s/step] Training: 33%|███▎ | 23255/70000 [8:13:35<16:37:55, 1.28s/step] Training: 33%|███▎ | 23256/70000 [8:13:36<16:49:23, 1.30s/step] Training: 33%|███▎ | 23257/70000 [8:13:38<16:56:25, 1.30s/step] Training: 33%|███▎ | 23258/70000 [8:13:39<16:37:10, 1.28s/step] Training: 33%|███▎ | 23259/70000 [8:13:40<16:16:44, 1.25s/step] Training: 33%|███▎ | 23260/70000 [8:13:41<16:01:43, 1.23s/step] Training: 33%|███▎ | 23261/70000 [8:13:43<15:51:09, 1.22s/step] Training: 33%|███▎ | 23262/70000 [8:13:44<15:46:25, 1.21s/step] Training: 33%|███▎ | 23263/70000 [8:13:45<16:14:13, 1.25s/step] Training: 33%|███▎ | 23264/70000 [8:13:46<16:36:18, 1.28s/step] Training: 33%|███▎ | 23265/70000 [8:13:48<16:20:21, 1.26s/step] Training: 33%|███▎ | 23266/70000 [8:13:49<16:39:24, 1.28s/step] Training: 33%|███▎ | 23267/70000 [8:13:50<16:18:30, 1.26s/step] Training: 33%|███▎ | 23268/70000 [8:13:51<16:03:03, 1.24s/step] Training: 33%|███▎ | 23269/70000 [8:13:53<15:51:45, 1.22s/step] Training: 33%|███▎ | 23270/70000 [8:13:54<15:54:49, 1.23s/step] Training: 33%|███▎ | 23271/70000 [8:13:55<16:18:13, 1.26s/step] Training: 33%|███▎ | 23272/70000 [8:13:57<16:54:39, 1.30s/step] Training: 33%|███▎ | 23273/70000 [8:13:58<17:02:07, 1.31s/step] Training: 33%|███▎ | 23274/70000 [8:13:59<17:07:06, 1.32s/step] Training: 33%|███▎ | 23275/70000 [8:14:00<16:36:58, 1.28s/step] Training: 33%|███▎ | 23276/70000 [8:14:02<16:15:18, 1.25s/step] Training: 33%|███▎ | 23277/70000 [8:14:03<15:59:36, 1.23s/step] Training: 33%|███▎ | 23278/70000 [8:14:04<15:50:16, 1.22s/step] Training: 33%|███▎ | 23279/70000 [8:14:05<16:39:46, 1.28s/step] Training: 33%|███▎ | 23280/70000 [8:14:07<16:57:04, 1.31s/step] Training: 33%|███▎ | 23281/70000 [8:14:08<17:00:23, 1.31s/step] Training: 33%|███▎ | 23282/70000 [8:14:09<17:15:22, 1.33s/step] Training: 33%|███▎ | 23283/70000 [8:14:11<16:44:22, 1.29s/step] Training: 33%|███▎ | 23284/70000 [8:14:12<16:20:43, 1.26s/step] Training: 33%|███▎ | 23285/70000 [8:14:13<16:05:17, 1.24s/step] Training: 33%|███▎ | 23286/70000 [8:14:14<15:52:17, 1.22s/step] Training: 33%|███▎ | 23287/70000 [8:14:16<16:15:49, 1.25s/step] Training: 33%|███▎ | 23288/70000 [8:14:17<16:31:52, 1.27s/step] Training: 33%|███▎ | 23289/70000 [8:14:18<17:11:49, 1.33s/step] Training: 33%|███▎ | 23290/70000 [8:14:19<16:46:21, 1.29s/step] Training: 33%|███▎ | 23291/70000 [8:14:21<16:21:48, 1.26s/step] Training: 33%|███▎ | 23292/70000 [8:14:22<16:04:58, 1.24s/step] Training: 33%|███▎ | 23293/70000 [8:14:23<15:52:52, 1.22s/step] Training: 33%|███▎ | 23294/70000 [8:14:24<15:53:07, 1.22s/step] Training: 33%|███▎ | 23295/70000 [8:14:26<16:17:42, 1.26s/step] Training: 33%|███▎ | 23296/70000 [8:14:27<16:27:38, 1.27s/step] Training: 33%|███▎ | 23297/70000 [8:14:28<16:45:33, 1.29s/step] Training: 33%|███▎ | 23298/70000 [8:14:30<16:53:15, 1.30s/step] Training: 33%|███▎ | 23299/70000 [8:14:31<16:26:58, 1.27s/step] Training: 33%|███▎ | 23300/70000 [8:14:32<16:08:25, 1.24s/step]INFO 2026-03-13 04:24:24 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.75 loss:0.054 grdn:7.326 lr:1.9e-05 updt_s:1.248 data_s:0.019 Training: 33%|███▎ | 23301/70000 [8:14:33<15:55:02, 1.23s/step] Training: 33%|███▎ | 23302/70000 [8:14:34<15:49:20, 1.22s/step] Training: 33%|███▎ | 23303/70000 [8:14:36<16:16:43, 1.25s/step] Training: 33%|███▎ | 23304/70000 [8:14:37<16:01:49, 1.24s/step] Training: 33%|███▎ | 23305/70000 [8:14:38<16:22:02, 1.26s/step] Training: 33%|███▎ | 23306/70000 [8:14:40<16:39:39, 1.28s/step] Training: 33%|███▎ | 23307/70000 [8:14:41<16:18:32, 1.26s/step] Training: 33%|███▎ | 23308/70000 [8:14:42<16:02:36, 1.24s/step] Training: 33%|███▎ | 23309/70000 [8:14:43<15:51:22, 1.22s/step] Training: 33%|███▎ | 23310/70000 [8:14:44<16:18:31, 1.26s/step] Training: 33%|███▎ | 23311/70000 [8:14:46<16:33:43, 1.28s/step] Training: 33%|███▎ | 23312/70000 [8:14:47<16:12:08, 1.25s/step] Training: 33%|███▎ | 23313/70000 [8:14:48<16:38:16, 1.28s/step] Training: 33%|███▎ | 23314/70000 [8:14:50<16:56:07, 1.31s/step] Training: 33%|███▎ | 23315/70000 [8:14:51<16:28:46, 1.27s/step] Training: 33%|███▎ | 23316/70000 [8:14:52<16:10:04, 1.25s/step] Training: 33%|███▎ | 23317/70000 [8:14:53<15:56:12, 1.23s/step] Training: 33%|███▎ | 23318/70000 [8:14:55<16:18:50, 1.26s/step] Training: 33%|███▎ | 23319/70000 [8:14:56<16:33:52, 1.28s/step] Training: 33%|███▎ | 23320/70000 [8:14:57<16:24:50, 1.27s/step] Training: 33%|███▎ | 23321/70000 [8:14:58<16:32:24, 1.28s/step] Training: 33%|███▎ | 23322/70000 [8:15:00<16:17:27, 1.26s/step] Training: 33%|███▎ | 23323/70000 [8:15:01<16:01:14, 1.24s/step] Training: 33%|███▎ | 23324/70000 [8:15:02<15:51:49, 1.22s/step] Training: 33%|███▎ | 23325/70000 [8:15:03<15:45:22, 1.22s/step] Training: 33%|███▎ | 23326/70000 [8:15:04<15:51:04, 1.22s/step] Training: 33%|███▎ | 23327/70000 [8:15:06<16:16:00, 1.25s/step] Training: 33%|███▎ | 23328/70000 [8:15:07<16:11:56, 1.25s/step] Training: 33%|███▎ | 23329/70000 [8:15:08<16:08:00, 1.24s/step] Training: 33%|███▎ | 23330/70000 [8:15:10<16:53:55, 1.30s/step] Training: 33%|███▎ | 23331/70000 [8:15:11<17:01:38, 1.31s/step] Training: 33%|███▎ | 23332/70000 [8:15:12<16:32:18, 1.28s/step] Training: 33%|███▎ | 23333/70000 [8:15:13<16:12:09, 1.25s/step] Training: 33%|███▎ | 23334/70000 [8:15:15<16:01:55, 1.24s/step] Training: 33%|███▎ | 23335/70000 [8:15:16<16:21:50, 1.26s/step] Training: 33%|███▎ | 23336/70000 [8:15:17<16:04:33, 1.24s/step] Training: 33%|███▎ | 23337/70000 [8:15:19<16:53:48, 1.30s/step] Training: 33%|███▎ | 23338/70000 [8:15:20<17:16:21, 1.33s/step] Training: 33%|███▎ | 23339/70000 [8:15:21<17:03:06, 1.32s/step] Training: 33%|███▎ | 23340/70000 [8:15:22<16:35:41, 1.28s/step] Training: 33%|███▎ | 23341/70000 [8:15:24<16:12:28, 1.25s/step] Training: 33%|███▎ | 23342/70000 [8:15:25<16:30:04, 1.27s/step] Training: 33%|███▎ | 23343/70000 [8:15:26<16:42:59, 1.29s/step] Training: 33%|███▎ | 23344/70000 [8:15:27<16:21:36, 1.26s/step] Training: 33%|███▎ | 23345/70000 [8:15:29<16:36:49, 1.28s/step] Training: 33%|███▎ | 23346/70000 [8:15:30<16:33:19, 1.28s/step] Training: 33%|███▎ | 23347/70000 [8:15:31<16:11:11, 1.25s/step] Training: 33%|███▎ | 23348/70000 [8:15:32<15:58:46, 1.23s/step] Training: 33%|███▎ | 23349/70000 [8:15:34<15:48:09, 1.22s/step] Training: 33%|███▎ | 23350/70000 [8:15:35<16:13:31, 1.25s/step] Training: 33%|███▎ | 23351/70000 [8:15:36<16:29:42, 1.27s/step] Training: 33%|███▎ | 23352/70000 [8:15:38<16:19:39, 1.26s/step] Training: 33%|███▎ | 23353/70000 [8:15:39<16:10:51, 1.25s/step] Training: 33%|███▎ | 23354/70000 [8:15:40<16:07:08, 1.24s/step] Training: 33%|███▎ | 23355/70000 [8:15:41<16:50:09, 1.30s/step] Training: 33%|███▎ | 23356/70000 [8:15:43<16:24:44, 1.27s/step] Training: 33%|███▎ | 23357/70000 [8:15:44<16:06:20, 1.24s/step] Training: 33%|███▎ | 23358/70000 [8:15:45<16:08:37, 1.25s/step] Training: 33%|███▎ | 23359/70000 [8:15:46<16:26:33, 1.27s/step] Training: 33%|███▎ | 23360/70000 [8:15:48<16:12:27, 1.25s/step] Training: 33%|███▎ | 23361/70000 [8:15:49<16:13:35, 1.25s/step] Training: 33%|███▎ | 23362/70000 [8:15:50<15:59:51, 1.23s/step] Training: 33%|███▎ | 23363/70000 [8:15:51<16:44:30, 1.29s/step] Training: 33%|███▎ | 23364/70000 [8:15:53<16:21:07, 1.26s/step] Training: 33%|███▎ | 23365/70000 [8:15:54<16:05:32, 1.24s/step] Training: 33%|███▎ | 23366/70000 [8:15:55<15:59:32, 1.23s/step] Training: 33%|███▎ | 23367/70000 [8:15:56<16:22:07, 1.26s/step] Training: 33%|███▎ | 23368/70000 [8:15:58<16:37:36, 1.28s/step] Training: 33%|███▎ | 23369/70000 [8:15:59<16:49:46, 1.30s/step] Training: 33%|███▎ | 23370/70000 [8:16:00<16:57:52, 1.31s/step] Training: 33%|███▎ | 23371/70000 [8:16:02<17:15:58, 1.33s/step] Training: 33%|███▎ | 23372/70000 [8:16:03<16:39:21, 1.29s/step] Training: 33%|███▎ | 23373/70000 [8:16:04<16:16:08, 1.26s/step] Training: 33%|███▎ | 23374/70000 [8:16:05<16:33:11, 1.28s/step] Training: 33%|███▎ | 23375/70000 [8:16:07<16:45:35, 1.29s/step] Training: 33%|███▎ | 23376/70000 [8:16:08<16:52:25, 1.30s/step] Training: 33%|███▎ | 23377/70000 [8:16:09<16:57:57, 1.31s/step] Training: 33%|███▎ | 23378/70000 [8:16:11<16:35:12, 1.28s/step] Training: 33%|███▎ | 23379/70000 [8:16:12<16:54:01, 1.31s/step] Training: 33%|███▎ | 23380/70000 [8:16:13<16:25:25, 1.27s/step] Training: 33%|███▎ | 23381/70000 [8:16:14<16:07:19, 1.24s/step] Training: 33%|███▎ | 23382/70000 [8:16:16<16:27:26, 1.27s/step] Training: 33%|███▎ | 23383/70000 [8:16:17<16:38:42, 1.29s/step] Training: 33%|███▎ | 23384/70000 [8:16:18<16:25:50, 1.27s/step] Training: 33%|███▎ | 23385/70000 [8:16:19<16:11:57, 1.25s/step] Training: 33%|███▎ | 23386/70000 [8:16:21<16:06:29, 1.24s/step] Training: 33%|███▎ | 23387/70000 [8:16:22<16:26:49, 1.27s/step] Training: 33%|███▎ | 23388/70000 [8:16:23<16:42:37, 1.29s/step] Training: 33%|███▎ | 23389/70000 [8:16:25<16:16:45, 1.26s/step] Training: 33%|███▎ | 23390/70000 [8:16:26<16:11:10, 1.25s/step] Training: 33%|███▎ | 23391/70000 [8:16:27<16:28:30, 1.27s/step] Training: 33%|███▎ | 23392/70000 [8:16:28<16:19:56, 1.26s/step] Training: 33%|███▎ | 23393/70000 [8:16:30<16:08:45, 1.25s/step] Training: 33%|███▎ | 23394/70000 [8:16:31<15:56:22, 1.23s/step] Training: 33%|███▎ | 23395/70000 [8:16:32<16:16:11, 1.26s/step] Training: 33%|███▎ | 23396/70000 [8:16:33<16:38:14, 1.29s/step] Training: 33%|███▎ | 23397/70000 [8:16:35<16:14:24, 1.25s/step] Training: 33%|███▎ | 23398/70000 [8:16:36<16:04:18, 1.24s/step] Training: 33%|███▎ | 23399/70000 [8:16:37<16:23:58, 1.27s/step] Training: 33%|███▎ | 23400/70000 [8:16:38<16:05:03, 1.24s/step]INFO 2026-03-13 04:26:30 ot_train.py:435 step:23K smpl:1M ep:5K epch:19.83 loss:0.054 grdn:6.973 lr:1.9e-05 updt_s:1.243 data_s:0.019 Training: 33%|███▎ | 23401/70000 [8:16:40<16:48:29, 1.30s/step] Training: 33%|███▎ | 23402/70000 [8:16:41<16:22:38, 1.27s/step] Training: 33%|███▎ | 23403/70000 [8:16:42<16:13:38, 1.25s/step] Training: 33%|███▎ | 23404/70000 [8:16:43<16:01:14, 1.24s/step] Training: 33%|███▎ | 23405/70000 [8:16:45<15:50:58, 1.22s/step] Training: 33%|███▎ | 23406/70000 [8:16:46<16:15:05, 1.26s/step] Training: 33%|███▎ | 23407/70000 [8:16:47<16:31:45, 1.28s/step] Training: 33%|███▎ | 23408/70000 [8:16:48<16:13:15, 1.25s/step] Training: 33%|███▎ | 23409/70000 [8:16:50<16:29:57, 1.27s/step] Training: 33%|███▎ | 23410/70000 [8:16:51<16:40:19, 1.29s/step] Training: 33%|███▎ | 23411/70000 [8:16:52<16:17:18, 1.26s/step] Training: 33%|███▎ | 23412/70000 [8:16:54<17:10:38, 1.33s/step] Training: 33%|███▎ | 23413/70000 [8:16:55<16:36:00, 1.28s/step] Training: 33%|███▎ | 23414/70000 [8:16:56<16:14:49, 1.26s/step] Training: 33%|███▎ | 23415/70000 [8:16:58<16:53:27, 1.31s/step] Training: 33%|███▎ | 23416/70000 [8:16:59<16:30:58, 1.28s/step] Training: 33%|███▎ | 23417/70000 [8:17:00<16:22:30, 1.27s/step] Training: 33%|███▎ | 23418/70000 [8:17:01<16:35:35, 1.28s/step] Training: 33%|███▎ | 23419/70000 [8:17:03<16:47:05, 1.30s/step] Training: 33%|███▎ | 23420/70000 [8:17:04<16:36:45, 1.28s/step] Training: 33%|███▎ | 23421/70000 [8:17:05<16:12:17, 1.25s/step] Training: 33%|███▎ | 23422/70000 [8:17:06<15:57:43, 1.23s/step] Training: 33%|███▎ | 23423/70000 [8:17:08<16:40:51, 1.29s/step] Training: 33%|███▎ | 23424/70000 [8:17:09<16:25:48, 1.27s/step] Training: 33%|███▎ | 23425/70000 [8:17:10<16:12:28, 1.25s/step] Training: 33%|███▎ | 23426/70000 [8:17:11<16:01:47, 1.24s/step] Training: 33%|███▎ | 23427/70000 [8:17:13<16:20:31, 1.26s/step] Training: 33%|███▎ | 23428/70000 [8:17:14<16:02:24, 1.24s/step] Training: 33%|███▎ | 23429/70000 [8:17:15<16:28:38, 1.27s/step] Training: 33%|███▎ | 23430/70000 [8:17:16<16:06:54, 1.25s/step] Training: 33%|███▎ | 23431/70000 [8:17:18<16:25:20, 1.27s/step] Training: 33%|███▎ | 23432/70000 [8:17:19<16:06:44, 1.25s/step] Training: 33%|███▎ | 23433/70000 [8:17:20<16:55:54, 1.31s/step] Training: 33%|███▎ | 23434/70000 [8:17:22<17:02:15, 1.32s/step] Training: 33%|███▎ | 23435/70000 [8:17:23<17:04:19, 1.32s/step] Training: 33%|███▎ | 23436/70000 [8:17:24<16:34:08, 1.28s/step] Training: 33%|███▎ | 23437/70000 [8:17:26<16:41:59, 1.29s/step] Training: 33%|███▎ | 23438/70000 [8:17:27<16:17:56, 1.26s/step] Training: 33%|███▎ | 23439/70000 [8:17:28<16:52:06, 1.30s/step] Training: 33%|███▎ | 23440/70000 [8:17:29<16:59:19, 1.31s/step] Training: 33%|███▎ | 23441/70000 [8:17:31<17:07:20, 1.32s/step] Training: 33%|███▎ | 23442/70000 [8:17:32<17:13:14, 1.33s/step] Training: 33%|███▎ | 23443/70000 [8:17:33<16:46:19, 1.30s/step] Training: 33%|███▎ | 23444/70000 [8:17:35<16:22:56, 1.27s/step] Training: 33%|███▎ | 23445/70000 [8:17:36<16:44:29, 1.29s/step] Training: 33%|███▎ | 23446/70000 [8:17:37<16:17:06, 1.26s/step] Training: 33%|███▎ | 23447/70000 [8:17:38<16:33:25, 1.28s/step] Training: 33%|███▎ | 23448/70000 [8:17:40<16:41:49, 1.29s/step] Training: 33%|███▎ | 23449/70000 [8:17:41<16:29:37, 1.28s/step] Training: 34%|███▎ | 23450/70000 [8:17:42<16:47:24, 1.30s/step] Training: 34%|███▎ | 23451/70000 [8:17:44<16:54:44, 1.31s/step] Training: 34%|███▎ | 23452/70000 [8:17:45<16:28:15, 1.27s/step] Training: 34%|███▎ | 23453/70000 [8:17:46<16:08:29, 1.25s/step] Training: 34%|███▎ | 23454/70000 [8:17:47<16:32:00, 1.28s/step] Training: 34%|███▎ | 23455/70000 [8:17:49<16:42:00, 1.29s/step] Training: 34%|███▎ | 23456/70000 [8:17:50<16:46:34, 1.30s/step] Training: 34%|███▎ | 23457/70000 [8:17:51<16:29:04, 1.28s/step] Training: 34%|███▎ | 23458/70000 [8:17:52<16:17:46, 1.26s/step] Training: 34%|███▎ | 23459/70000 [8:17:54<16:33:40, 1.28s/step] Training: 34%|███▎ | 23460/70000 [8:17:55<16:12:00, 1.25s/step] Training: 34%|███▎ | 23461/70000 [8:17:56<15:58:18, 1.24s/step] Training: 34%|███▎ | 23462/70000 [8:17:58<16:22:38, 1.27s/step] Training: 34%|███▎ | 23463/70000 [8:17:59<16:34:29, 1.28s/step] Training: 34%|███▎ | 23464/70000 [8:18:00<16:12:57, 1.25s/step] Training: 34%|███▎ | 23465/70000 [8:18:01<16:52:09, 1.31s/step] Training: 34%|███▎ | 23466/70000 [8:18:03<16:59:02, 1.31s/step] Training: 34%|███▎ | 23467/70000 [8:18:04<17:00:06, 1.32s/step] Training: 34%|███▎ | 23468/70000 [8:18:05<16:31:23, 1.28s/step] Training: 34%|███▎ | 23469/70000 [8:18:06<16:10:48, 1.25s/step] Training: 34%|███▎ | 23470/70000 [8:18:08<15:59:45, 1.24s/step] Training: 34%|███▎ | 23471/70000 [8:18:09<16:26:07, 1.27s/step] Training: 34%|███▎ | 23472/70000 [8:18:10<16:42:30, 1.29s/step] Training: 34%|███▎ | 23473/70000 [8:18:12<16:52:29, 1.31s/step] Training: 34%|███▎ | 23474/70000 [8:18:13<16:58:45, 1.31s/step] Training: 34%|███▎ | 23475/70000 [8:18:14<16:36:31, 1.29s/step] Training: 34%|███▎ | 23476/70000 [8:18:15<16:15:58, 1.26s/step] Training: 34%|███▎ | 23477/70000 [8:18:17<16:00:16, 1.24s/step] Training: 34%|███▎ | 23478/70000 [8:18:18<15:59:09, 1.24s/step] Training: 34%|███▎ | 23479/70000 [8:18:19<16:01:09, 1.24s/step] Training: 34%|███▎ | 23480/70000 [8:18:20<15:58:02, 1.24s/step] Training: 34%|███▎ | 23481/70000 [8:18:22<16:19:15, 1.26s/step] Training: 34%|███▎ | 23482/70000 [8:18:23<16:33:41, 1.28s/step] Training: 34%|███▎ | 23483/70000 [8:18:24<16:44:55, 1.30s/step] Training: 34%|███▎ | 23484/70000 [8:18:26<16:20:03, 1.26s/step] Training: 34%|███▎ | 23485/70000 [8:18:27<16:02:49, 1.24s/step] Training: 34%|███▎ | 23486/70000 [8:18:28<16:05:35, 1.25s/step] Training: 34%|███▎ | 23487/70000 [8:18:29<15:55:18, 1.23s/step] Training: 34%|███▎ | 23488/70000 [8:18:30<16:08:59, 1.25s/step] Training: 34%|███▎ | 23489/70000 [8:18:32<16:27:34, 1.27s/step] Training: 34%|███▎ | 23490/70000 [8:18:33<16:13:46, 1.26s/step] Training: 34%|███▎ | 23491/70000 [8:18:34<15:58:07, 1.24s/step] Training: 34%|███▎ | 23492/70000 [8:18:36<16:17:01, 1.26s/step] Training: 34%|███▎ | 23493/70000 [8:18:37<16:00:13, 1.24s/step] Training: 34%|███▎ | 23494/70000 [8:18:38<15:48:07, 1.22s/step] Training: 34%|███▎ | 23495/70000 [8:18:39<16:38:29, 1.29s/step] Training: 34%|███▎ | 23496/70000 [8:18:41<16:18:28, 1.26s/step] Training: 34%|███▎ | 23497/70000 [8:18:42<16:33:50, 1.28s/step] Training: 34%|███▎ | 23498/70000 [8:18:43<16:46:00, 1.30s/step] Training: 34%|███▎ | 23499/70000 [8:18:44<16:20:37, 1.27s/step] Training: 34%|███▎ | 23500/70000 [8:18:46<16:35:55, 1.29s/step]INFO 2026-03-13 04:28:38 ot_train.py:435 step:24K smpl:2M ep:5K epch:19.92 loss:0.057 grdn:7.522 lr:1.9e-05 updt_s:1.253 data_s:0.019 Training: 34%|███▎ | 23501/70000 [8:18:47<16:13:17, 1.26s/step] Training: 34%|███▎ | 23502/70000 [8:18:48<15:57:21, 1.24s/step] Training: 34%|███▎ | 23503/70000 [8:18:50<16:45:19, 1.30s/step] Training: 34%|███▎ | 23504/70000 [8:18:51<16:54:34, 1.31s/step] Training: 34%|███▎ | 23505/70000 [8:18:52<17:00:18, 1.32s/step] Training: 34%|███▎ | 23506/70000 [8:18:54<17:04:39, 1.32s/step] Training: 34%|███▎ | 23507/70000 [8:18:55<16:33:21, 1.28s/step] Training: 34%|███▎ | 23508/70000 [8:18:56<16:11:17, 1.25s/step] Training: 34%|███▎ | 23509/70000 [8:18:57<15:55:53, 1.23s/step] Training: 34%|███▎ | 23510/70000 [8:18:58<15:46:21, 1.22s/step] Training: 34%|███▎ | 23511/70000 [8:19:00<16:08:43, 1.25s/step] Training: 34%|███▎ | 23512/70000 [8:19:01<16:26:58, 1.27s/step] Training: 34%|███▎ | 23513/70000 [8:19:02<16:17:45, 1.26s/step] Training: 34%|███▎ | 23514/70000 [8:19:04<16:39:23, 1.29s/step] Training: 34%|███▎ | 23515/70000 [8:19:05<16:15:46, 1.26s/step] Training: 34%|███▎ | 23516/70000 [8:19:06<16:03:26, 1.24s/step] Training: 34%|███▎ | 23517/70000 [8:19:07<15:51:08, 1.23s/step] Training: 34%|███▎ | 23518/70000 [8:19:08<15:41:56, 1.22s/step] Training: 34%|███▎ | 23519/70000 [8:19:10<15:44:34, 1.22s/step] Training: 34%|███▎ | 23520/70000 [8:19:11<16:29:58, 1.28s/step] Training: 34%|███▎ | 23521/70000 [8:19:12<16:13:47, 1.26s/step] Training: 34%|███▎ | 23522/70000 [8:19:13<16:03:18, 1.24s/step] Training: 34%|███▎ | 23523/70000 [8:19:15<15:50:02, 1.23s/step] Training: 34%|███▎ | 23524/70000 [8:19:16<15:51:35, 1.23s/step] Training: 34%|███▎ | 23525/70000 [8:19:17<15:43:26, 1.22s/step] Training: 34%|███▎ | 23526/70000 [8:19:18<15:36:45, 1.21s/step] Training: 34%|███▎ | 23527/70000 [8:19:20<16:14:33, 1.26s/step] Training: 34%|███▎ | 23528/70000 [8:19:21<16:01:24, 1.24s/step] Training: 34%|███▎ | 23529/70000 [8:19:22<16:22:29, 1.27s/step] Training: 34%|███▎ | 23530/70000 [8:19:23<16:35:45, 1.29s/step] Training: 34%|███▎ | 23531/70000 [8:19:25<16:13:36, 1.26s/step] Training: 34%|███▎ | 23532/70000 [8:19:26<15:57:56, 1.24s/step] Training: 34%|███▎ | 23533/70000 [8:19:27<16:16:44, 1.26s/step] Training: 34%|███▎ | 23534/70000 [8:19:28<16:00:19, 1.24s/step] Training: 34%|███▎ | 23535/70000 [8:19:30<16:23:18, 1.27s/step] Training: 34%|███▎ | 23536/70000 [8:19:31<17:06:32, 1.33s/step] Training: 34%|███▎ | 23537/70000 [8:19:32<17:12:26, 1.33s/step] Training: 34%|███▎ | 23538/70000 [8:19:34<17:11:03, 1.33s/step] Training: 34%|███▎ | 23539/70000 [8:19:35<16:45:38, 1.30s/step] Training: 34%|███▎ | 23540/70000 [8:19:36<16:18:55, 1.26s/step] Training: 34%|███▎ | 23541/70000 [8:19:37<16:05:19, 1.25s/step] Training: 34%|███▎ | 23542/70000 [8:19:39<15:49:54, 1.23s/step] Training: 34%|███▎ | 23543/70000 [8:19:40<15:57:37, 1.24s/step] Training: 34%|███▎ | 23544/70000 [8:19:41<16:40:13, 1.29s/step] Training: 34%|███▎ | 23545/70000 [8:19:42<16:29:41, 1.28s/step] Training: 34%|███▎ | 23546/70000 [8:19:44<16:41:31, 1.29s/step] Training: 34%|███▎ | 23547/70000 [8:19:45<16:19:16, 1.26s/step] Training: 34%|███▎ | 23548/70000 [8:19:46<16:08:29, 1.25s/step] Training: 34%|███▎ | 23549/70000 [8:19:47<15:54:09, 1.23s/step] Training: 34%|███▎ | 23550/70000 [8:19:49<15:43:14, 1.22s/step] Training: 34%|███▎ | 23551/70000 [8:19:50<15:41:07, 1.22s/step] Training: 34%|███▎ | 23552/70000 [8:19:51<16:32:57, 1.28s/step] Training: 34%|███▎ | 23553/70000 [8:19:52<16:19:25, 1.27s/step] Training: 34%|███▎ | 23554/70000 [8:19:54<16:06:25, 1.25s/step] Training: 34%|███▎ | 23555/70000 [8:19:55<15:52:21, 1.23s/step] Training: 34%|███▎ | 23556/70000 [8:19:56<15:44:50, 1.22s/step] Training: 34%|███▎ | 23557/70000 [8:19:57<15:38:11, 1.21s/step] Training: 34%|███▎ | 23558/70000 [8:19:58<15:33:08, 1.21s/step] Training: 34%|███▎ | 23559/70000 [8:20:00<16:04:43, 1.25s/step] Training: 34%|███▎ | 23560/70000 [8:20:01<16:30:59, 1.28s/step] Training: 34%|███▎ | 23561/70000 [8:20:02<16:42:46, 1.30s/step] Training: 34%|███▎ | 23562/70000 [8:20:04<16:50:46, 1.31s/step] Training: 34%|███▎ | 23563/70000 [8:20:05<16:23:38, 1.27s/step] Training: 34%|███▎ | 23564/70000 [8:20:06<16:37:53, 1.29s/step] Training: 34%|███▎ | 23565/70000 [8:20:08<16:18:36, 1.26s/step] Training: 34%|███▎ | 23566/70000 [8:20:09<15:58:26, 1.24s/step] Training: 34%|███▎ | 23567/70000 [8:20:10<16:19:33, 1.27s/step] Training: 34%|███▎ | 23568/70000 [8:20:11<16:43:55, 1.30s/step] Training: 34%|███▎ | 23569/70000 [8:20:13<16:54:37, 1.31s/step] Training: 34%|███▎ | 23570/70000 [8:20:14<16:57:20, 1.31s/step] Training: 34%|███▎ | 23571/70000 [8:20:15<16:28:18, 1.28s/step] Training: 34%|███▎ | 23572/70000 [8:20:17<16:39:23, 1.29s/step] Training: 34%|███▎ | 23573/70000 [8:20:18<16:22:34, 1.27s/step] Training: 34%|███▎ | 23574/70000 [8:20:19<16:02:43, 1.24s/step] Training: 34%|███▎ | 23575/70000 [8:20:20<16:30:13, 1.28s/step] Training: 34%|███▎ | 23576/70000 [8:20:22<16:46:25, 1.30s/step] Training: 34%|███▎ | 23577/70000 [8:20:23<16:58:23, 1.32s/step] Training: 34%|███▎ | 23578/70000 [8:20:24<16:34:51, 1.29s/step] Training: 34%|███▎ | 23579/70000 [8:20:25<16:11:44, 1.26s/step] Training: 34%|███▎ | 23580/70000 [8:20:27<16:05:10, 1.25s/step] Training: 34%|███▎ | 23581/70000 [8:20:28<15:51:51, 1.23s/step] Training: 34%|███▎ | 23582/70000 [8:20:29<15:43:06, 1.22s/step] Training: 34%|███▎ | 23583/70000 [8:20:30<15:41:56, 1.22s/step] Training: 34%|███▎ | 23584/70000 [8:20:32<16:07:54, 1.25s/step] Training: 34%|███▎ | 23585/70000 [8:20:33<16:26:51, 1.28s/step] Training: 34%|███▎ | 23586/70000 [8:20:34<16:09:56, 1.25s/step] Training: 34%|███▎ | 23587/70000 [8:20:35<15:55:28, 1.24s/step] Training: 34%|███▎ | 23588/70000 [8:20:37<15:49:00, 1.23s/step] Training: 34%|███▎ | 23589/70000 [8:20:38<15:40:55, 1.22s/step] Training: 34%|███▎ | 23590/70000 [8:20:39<15:35:07, 1.21s/step] Training: 34%|███▎ | 23591/70000 [8:20:40<16:51:26, 1.31s/step] Training: 34%|███▎ | 23592/70000 [8:20:42<16:57:50, 1.32s/step] Training: 34%|███▎ | 23593/70000 [8:20:43<17:16:31, 1.34s/step] Training: 34%|███▎ | 23594/70000 [8:20:45<17:12:58, 1.34s/step] Training: 34%|███▎ | 23595/70000 [8:20:46<16:38:58, 1.29s/step] Training: 34%|███▎ | 23596/70000 [8:20:47<16:50:30, 1.31s/step] Training: 34%|███▎ | 23597/70000 [8:20:48<16:23:29, 1.27s/step] Training: 34%|███▎ | 23598/70000 [8:20:49<16:03:46, 1.25s/step] Training: 34%|███▎ | 23599/70000 [8:20:51<16:29:05, 1.28s/step] Training: 34%|███▎ | 23600/70000 [8:20:53<21:30:40, 1.67s/step]INFO 2026-03-13 04:30:46 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.00 loss:0.057 grdn:7.539 lr:1.9e-05 updt_s:1.243 data_s:0.031 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 34%|███▎ | 23601/70000 [8:20:58<31:13:40, 2.42s/step] Training: 34%|███▎ | 23602/70000 [8:20:59<27:19:33, 2.12s/step] Training: 34%|███▎ | 23603/70000 [8:21:00<23:42:36, 1.84s/step] Training: 34%|███▎ | 23604/70000 [8:21:02<22:00:34, 1.71s/step] Training: 34%|███▎ | 23605/70000 [8:21:03<20:01:02, 1.55s/step] Training: 34%|███▎ | 23606/70000 [8:21:04<18:35:58, 1.44s/step] Training: 34%|███▎ | 23607/70000 [8:21:05<18:21:58, 1.43s/step] Training: 34%|███▎ | 23608/70000 [8:21:07<18:09:34, 1.41s/step] Training: 34%|███▎ | 23609/70000 [8:21:08<17:22:37, 1.35s/step] Training: 34%|███▎ | 23610/70000 [8:21:09<17:49:00, 1.38s/step] Training: 34%|███▎ | 23611/70000 [8:21:11<17:04:26, 1.33s/step] Training: 34%|███▎ | 23612/70000 [8:21:12<16:46:15, 1.30s/step] Training: 34%|███▎ | 23613/70000 [8:21:13<16:19:29, 1.27s/step] Training: 34%|███▎ | 23614/70000 [8:21:14<16:01:45, 1.24s/step] Training: 34%|███▎ | 23615/70000 [8:21:15<15:55:45, 1.24s/step] Training: 34%|███▎ | 23616/70000 [8:21:17<16:45:02, 1.30s/step] Training: 34%|███▎ | 23617/70000 [8:21:18<16:31:37, 1.28s/step] Training: 34%|███▎ | 23618/70000 [8:21:19<16:15:19, 1.26s/step] Training: 34%|███▎ | 23619/70000 [8:21:21<15:59:21, 1.24s/step] Training: 34%|███▎ | 23620/70000 [8:21:22<15:52:14, 1.23s/step] Training: 34%|███▎ | 23621/70000 [8:21:23<15:45:46, 1.22s/step] Training: 34%|███▎ | 23622/70000 [8:21:24<15:38:47, 1.21s/step] Training: 34%|███▎ | 23623/70000 [8:21:25<16:06:14, 1.25s/step] Training: 34%|███▎ | 23624/70000 [8:21:27<16:25:08, 1.27s/step] Training: 34%|███▍ | 23625/70000 [8:21:28<16:07:16, 1.25s/step] Training: 34%|███▍ | 23626/70000 [8:21:29<16:58:33, 1.32s/step] Training: 34%|███▍ | 23627/70000 [8:21:31<16:29:54, 1.28s/step] Training: 34%|███▍ | 23628/70000 [8:21:32<16:41:48, 1.30s/step] Training: 34%|███▍ | 23629/70000 [8:21:33<16:18:50, 1.27s/step] Training: 34%|███▍ | 23630/70000 [8:21:34<16:01:52, 1.24s/step] Training: 34%|███▍ | 23631/70000 [8:21:36<16:27:12, 1.28s/step] Training: 34%|███▍ | 23632/70000 [8:21:37<16:42:06, 1.30s/step] Training: 34%|███▍ | 23633/70000 [8:21:38<16:51:26, 1.31s/step] Training: 34%|███▍ | 23634/70000 [8:21:40<16:55:29, 1.31s/step] Training: 34%|███▍ | 23635/70000 [8:21:41<16:28:46, 1.28s/step] Training: 34%|███▍ | 23636/70000 [8:21:42<16:39:37, 1.29s/step] Training: 34%|███▍ | 23637/70000 [8:21:43<16:17:17, 1.26s/step] Training: 34%|███▍ | 23638/70000 [8:21:45<15:59:38, 1.24s/step] Training: 34%|███▍ | 23639/70000 [8:21:46<16:19:40, 1.27s/step] Training: 34%|███▍ | 23640/70000 [8:21:47<16:36:50, 1.29s/step] Training: 34%|███▍ | 23641/70000 [8:21:49<16:19:41, 1.27s/step] Training: 34%|███▍ | 23642/70000 [8:21:50<16:34:42, 1.29s/step] Training: 34%|███▍ | 23643/70000 [8:21:51<17:15:52, 1.34s/step] Training: 34%|███▍ | 23644/70000 [8:21:53<16:48:45, 1.31s/step] Training: 34%|███▍ | 23645/70000 [8:21:54<16:22:44, 1.27s/step] Training: 34%|███▍ | 23646/70000 [8:21:55<16:03:44, 1.25s/step] Training: 34%|███▍ | 23647/70000 [8:21:56<15:54:01, 1.23s/step] Training: 34%|███▍ | 23648/70000 [8:21:58<16:47:12, 1.30s/step] Training: 34%|███▍ | 23649/70000 [8:21:59<16:55:20, 1.31s/step] Training: 34%|███▍ | 23650/70000 [8:22:00<16:30:20, 1.28s/step] Training: 34%|███▍ | 23651/70000 [8:22:01<16:43:59, 1.30s/step] Training: 34%|███▍ | 23652/70000 [8:22:03<16:23:12, 1.27s/step] Training: 34%|███▍ | 23653/70000 [8:22:04<16:05:17, 1.25s/step] Training: 34%|███▍ | 23654/70000 [8:22:05<15:50:34, 1.23s/step] Training: 34%|███▍ | 23655/70000 [8:22:06<16:15:20, 1.26s/step] Training: 34%|███▍ | 23656/70000 [8:22:08<16:32:38, 1.29s/step] Training: 34%|███▍ | 23657/70000 [8:22:09<16:18:13, 1.27s/step] Training: 34%|███▍ | 23658/70000 [8:22:10<16:35:55, 1.29s/step] Training: 34%|███▍ | 23659/70000 [8:22:12<16:13:28, 1.26s/step] Training: 34%|███▍ | 23660/70000 [8:22:13<16:51:24, 1.31s/step] Training: 34%|███▍ | 23661/70000 [8:22:14<16:23:02, 1.27s/step] Training: 34%|███▍ | 23662/70000 [8:22:15<16:03:50, 1.25s/step] Training: 34%|███▍ | 23663/70000 [8:22:17<16:32:25, 1.29s/step] Training: 34%|███▍ | 23664/70000 [8:22:18<16:42:51, 1.30s/step] Training: 34%|███▍ | 23665/70000 [8:22:19<16:53:09, 1.31s/step] Training: 34%|███▍ | 23666/70000 [8:22:21<17:00:33, 1.32s/step] Training: 34%|███▍ | 23667/70000 [8:22:22<17:13:01, 1.34s/step] Training: 34%|███▍ | 23668/70000 [8:22:23<17:14:23, 1.34s/step] Training: 34%|███▍ | 23669/70000 [8:22:25<16:40:40, 1.30s/step] Training: 34%|███▍ | 23670/70000 [8:22:26<16:15:08, 1.26s/step] Training: 34%|███▍ | 23671/70000 [8:22:27<16:31:22, 1.28s/step] Training: 34%|███▍ | 23672/70000 [8:22:28<16:43:47, 1.30s/step] Training: 34%|███▍ | 23673/70000 [8:22:30<16:52:03, 1.31s/step] Training: 34%|███▍ | 23674/70000 [8:22:31<16:35:12, 1.29s/step] Training: 34%|███▍ | 23675/70000 [8:22:32<16:11:36, 1.26s/step] Training: 34%|███▍ | 23676/70000 [8:22:34<16:30:38, 1.28s/step] Training: 34%|███▍ | 23677/70000 [8:22:35<16:07:10, 1.25s/step] Training: 34%|███▍ | 23678/70000 [8:22:36<15:52:38, 1.23s/step] Training: 34%|███▍ | 23679/70000 [8:22:37<15:46:30, 1.23s/step] Training: 34%|███▍ | 23680/70000 [8:22:39<16:36:03, 1.29s/step] Training: 34%|███▍ | 23681/70000 [8:22:40<16:48:33, 1.31s/step] Training: 34%|███▍ | 23682/70000 [8:22:41<16:28:41, 1.28s/step] Training: 34%|███▍ | 23683/70000 [8:22:42<16:07:41, 1.25s/step] Training: 34%|███▍ | 23684/70000 [8:22:44<16:38:17, 1.29s/step] Training: 34%|███▍ | 23685/70000 [8:22:45<16:15:03, 1.26s/step] Training: 34%|███▍ | 23686/70000 [8:22:46<15:56:32, 1.24s/step] Training: 34%|███▍ | 23687/70000 [8:22:47<16:16:59, 1.27s/step] Training: 34%|███▍ | 23688/70000 [8:22:49<16:31:47, 1.28s/step] Training: 34%|███▍ | 23689/70000 [8:22:50<16:16:51, 1.27s/step] Training: 34%|███▍ | 23690/70000 [8:22:51<16:35:18, 1.29s/step] Training: 34%|███▍ | 23691/70000 [8:22:53<16:12:06, 1.26s/step] Training: 34%|███▍ | 23692/70000 [8:22:54<15:58:00, 1.24s/step] Training: 34%|███▍ | 23693/70000 [8:22:55<16:15:03, 1.26s/step] Training: 34%|███▍ | 23694/70000 [8:22:56<15:59:17, 1.24s/step] Training: 34%|███▍ | 23695/70000 [8:22:58<16:20:09, 1.27s/step] Training: 34%|███▍ | 23696/70000 [8:22:59<16:34:20, 1.29s/step] Training: 34%|███▍ | 23697/70000 [8:23:00<16:46:54, 1.30s/step] Training: 34%|███▍ | 23698/70000 [8:23:02<16:52:08, 1.31s/step] Training: 34%|███▍ | 23699/70000 [8:23:03<16:23:58, 1.28s/step] Training: 34%|███▍ | 23700/70000 [8:23:04<16:52:23, 1.31s/step]INFO 2026-03-13 04:32:56 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.09 loss:0.047 grdn:6.387 lr:1.9e-05 updt_s:1.257 data_s:0.047 Training: 34%|███▍ | 23701/70000 [8:23:05<16:24:29, 1.28s/step] Training: 34%|███▍ | 23702/70000 [8:23:07<16:03:46, 1.25s/step] Training: 34%|███▍ | 23703/70000 [8:23:08<16:22:03, 1.27s/step] Training: 34%|███▍ | 23704/70000 [8:23:09<16:34:28, 1.29s/step] Training: 34%|███▍ | 23705/70000 [8:23:11<16:43:57, 1.30s/step] Training: 34%|███▍ | 23706/70000 [8:23:12<16:28:52, 1.28s/step] Training: 34%|███▍ | 23707/70000 [8:23:13<16:07:14, 1.25s/step] Training: 34%|███▍ | 23708/70000 [8:23:14<16:24:31, 1.28s/step] Training: 34%|███▍ | 23709/70000 [8:23:15<16:04:55, 1.25s/step] Training: 34%|███▍ | 23710/70000 [8:23:17<15:51:01, 1.23s/step] Training: 34%|███▍ | 23711/70000 [8:23:18<15:45:35, 1.23s/step] Training: 34%|███▍ | 23712/70000 [8:23:19<16:35:03, 1.29s/step] Training: 34%|███▍ | 23713/70000 [8:23:21<16:44:07, 1.30s/step] Training: 34%|███▍ | 23714/70000 [8:23:22<16:22:13, 1.27s/step] Training: 34%|███▍ | 23715/70000 [8:23:23<16:02:31, 1.25s/step] Training: 34%|███▍ | 23716/70000 [8:23:24<15:59:50, 1.24s/step] Training: 34%|███▍ | 23717/70000 [8:23:26<16:27:46, 1.28s/step] Training: 34%|███▍ | 23718/70000 [8:23:27<16:05:15, 1.25s/step] Training: 34%|███▍ | 23719/70000 [8:23:28<16:27:02, 1.28s/step] Training: 34%|███▍ | 23720/70000 [8:23:29<16:37:54, 1.29s/step] Training: 34%|███▍ | 23721/70000 [8:23:31<16:21:44, 1.27s/step] Training: 34%|███▍ | 23722/70000 [8:23:32<16:34:32, 1.29s/step] Training: 34%|███▍ | 23723/70000 [8:23:33<16:11:15, 1.26s/step] Training: 34%|███▍ | 23724/70000 [8:23:34<15:54:40, 1.24s/step] Training: 34%|███▍ | 23725/70000 [8:23:36<16:18:12, 1.27s/step] Training: 34%|███▍ | 23726/70000 [8:23:37<15:59:47, 1.24s/step] Training: 34%|███▍ | 23727/70000 [8:23:38<16:30:18, 1.28s/step] Training: 34%|███▍ | 23728/70000 [8:23:40<16:41:39, 1.30s/step] Training: 34%|███▍ | 23729/70000 [8:23:41<17:27:40, 1.36s/step] Training: 34%|███▍ | 23730/70000 [8:23:42<17:22:00, 1.35s/step] Training: 34%|███▍ | 23731/70000 [8:23:44<16:44:23, 1.30s/step] Training: 34%|███▍ | 23732/70000 [8:23:45<16:51:39, 1.31s/step] Training: 34%|███▍ | 23733/70000 [8:23:46<16:39:33, 1.30s/step] Training: 34%|███▍ | 23734/70000 [8:23:47<16:12:04, 1.26s/step] Training: 34%|███▍ | 23735/70000 [8:23:49<16:28:40, 1.28s/step] Training: 34%|███▍ | 23736/70000 [8:23:50<16:40:51, 1.30s/step] Training: 34%|███▍ | 23737/70000 [8:23:51<16:47:49, 1.31s/step] Training: 34%|███▍ | 23738/70000 [8:23:53<16:34:31, 1.29s/step] Training: 34%|███▍ | 23739/70000 [8:23:54<16:12:37, 1.26s/step] Training: 34%|███▍ | 23740/70000 [8:23:55<16:01:21, 1.25s/step] Training: 34%|███▍ | 23741/70000 [8:23:56<15:48:21, 1.23s/step] Training: 34%|███▍ | 23742/70000 [8:23:58<16:13:16, 1.26s/step] Training: 34%|███▍ | 23743/70000 [8:23:59<16:26:22, 1.28s/step] Training: 34%|███▍ | 23744/70000 [8:24:00<16:36:38, 1.29s/step] Training: 34%|███▍ | 23745/70000 [8:24:02<16:44:59, 1.30s/step] Training: 34%|███▍ | 23746/70000 [8:24:03<16:23:36, 1.28s/step] Training: 34%|███▍ | 23747/70000 [8:24:04<16:03:42, 1.25s/step] Training: 34%|███▍ | 23748/70000 [8:24:05<15:58:00, 1.24s/step] Training: 34%|███▍ | 23749/70000 [8:24:06<15:46:39, 1.23s/step] Training: 34%|███▍ | 23750/70000 [8:24:08<16:06:29, 1.25s/step] Training: 34%|███▍ | 23751/70000 [8:24:09<16:23:21, 1.28s/step] Training: 34%|███▍ | 23752/70000 [8:24:10<16:35:17, 1.29s/step] Training: 34%|███▍ | 23753/70000 [8:24:12<16:16:44, 1.27s/step] Training: 34%|███▍ | 23754/70000 [8:24:13<16:30:51, 1.29s/step] Training: 34%|███▍ | 23755/70000 [8:24:14<16:09:03, 1.26s/step] Training: 34%|███▍ | 23756/70000 [8:24:15<15:53:05, 1.24s/step] Training: 34%|███▍ | 23757/70000 [8:24:17<16:12:14, 1.26s/step] Training: 34%|███▍ | 23758/70000 [8:24:18<16:37:00, 1.29s/step] Training: 34%|███▍ | 23759/70000 [8:24:19<16:53:57, 1.32s/step] Training: 34%|███▍ | 23760/70000 [8:24:21<16:56:56, 1.32s/step] Training: 34%|███▍ | 23761/70000 [8:24:22<16:59:48, 1.32s/step] Training: 34%|███▍ | 23762/70000 [8:24:23<17:00:11, 1.32s/step] Training: 34%|███▍ | 23763/70000 [8:24:25<16:28:44, 1.28s/step] Training: 34%|███▍ | 23764/70000 [8:24:26<16:39:51, 1.30s/step] Training: 34%|███▍ | 23765/70000 [8:24:27<16:14:43, 1.26s/step] Training: 34%|███▍ | 23766/70000 [8:24:28<15:57:02, 1.24s/step] Training: 34%|███▍ | 23767/70000 [8:24:30<16:35:50, 1.29s/step] Training: 34%|███▍ | 23768/70000 [8:24:31<16:44:32, 1.30s/step] Training: 34%|███▍ | 23769/70000 [8:24:32<16:51:51, 1.31s/step] Training: 34%|███▍ | 23770/70000 [8:24:34<16:33:25, 1.29s/step] Training: 34%|███▍ | 23771/70000 [8:24:35<16:13:12, 1.26s/step] Training: 34%|███▍ | 23772/70000 [8:24:36<15:59:49, 1.25s/step] Training: 34%|███▍ | 23773/70000 [8:24:37<15:46:36, 1.23s/step] Training: 34%|███▍ | 23774/70000 [8:24:38<15:36:47, 1.22s/step] Training: 34%|███▍ | 23775/70000 [8:24:40<16:22:29, 1.28s/step] Training: 34%|███▍ | 23776/70000 [8:24:41<16:35:33, 1.29s/step] Training: 34%|███▍ | 23777/70000 [8:24:42<17:03:25, 1.33s/step] Training: 34%|███▍ | 23778/70000 [8:24:44<16:37:18, 1.29s/step] Training: 34%|███▍ | 23779/70000 [8:24:45<16:13:08, 1.26s/step] Training: 34%|███▍ | 23780/70000 [8:24:46<16:05:49, 1.25s/step] Training: 34%|███▍ | 23781/70000 [8:24:47<15:50:31, 1.23s/step] Training: 34%|███▍ | 23782/70000 [8:24:49<15:40:25, 1.22s/step] Training: 34%|███▍ | 23783/70000 [8:24:50<16:07:20, 1.26s/step] Training: 34%|███▍ | 23784/70000 [8:24:51<16:26:49, 1.28s/step] Training: 34%|███▍ | 23785/70000 [8:24:53<16:36:58, 1.29s/step] Training: 34%|███▍ | 23786/70000 [8:24:54<16:45:16, 1.31s/step] Training: 34%|███▍ | 23787/70000 [8:24:55<16:18:20, 1.27s/step] Training: 34%|███▍ | 23788/70000 [8:24:56<16:00:41, 1.25s/step] Training: 34%|███▍ | 23789/70000 [8:24:58<16:16:23, 1.27s/step] Training: 34%|███▍ | 23790/70000 [8:24:59<16:00:12, 1.25s/step] Training: 34%|███▍ | 23791/70000 [8:25:00<16:28:30, 1.28s/step] Training: 34%|███▍ | 23792/70000 [8:25:01<16:40:09, 1.30s/step] Training: 34%|███▍ | 23793/70000 [8:25:03<16:51:04, 1.31s/step] Training: 34%|███▍ | 23794/70000 [8:25:04<16:52:48, 1.32s/step] Training: 34%|███▍ | 23795/70000 [8:25:05<16:23:54, 1.28s/step] Training: 34%|███▍ | 23796/70000 [8:25:07<16:36:32, 1.29s/step] Training: 34%|███▍ | 23797/70000 [8:25:08<16:12:36, 1.26s/step] Training: 34%|███▍ | 23798/70000 [8:25:09<15:55:27, 1.24s/step] Training: 34%|███▍ | 23799/70000 [8:25:10<16:14:47, 1.27s/step] Training: 34%|███▍ | 23800/70000 [8:25:12<16:30:25, 1.29s/step]INFO 2026-03-13 04:35:04 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.17 loss:0.051 grdn:6.611 lr:1.9e-05 updt_s:1.254 data_s:0.019 Training: 34%|███▍ | 23801/70000 [8:25:13<16:42:40, 1.30s/step] Training: 34%|███▍ | 23802/70000 [8:25:14<16:24:50, 1.28s/step] Training: 34%|███▍ | 23803/70000 [8:25:15<16:04:14, 1.25s/step] Training: 34%|███▍ | 23804/70000 [8:25:17<15:53:51, 1.24s/step] Training: 34%|███▍ | 23805/70000 [8:25:18<15:42:54, 1.22s/step] Training: 34%|███▍ | 23806/70000 [8:25:19<15:35:13, 1.21s/step] Training: 34%|███▍ | 23807/70000 [8:25:20<16:01:11, 1.25s/step] Training: 34%|███▍ | 23808/70000 [8:25:22<16:39:29, 1.30s/step] Training: 34%|███▍ | 23809/70000 [8:25:23<16:46:04, 1.31s/step] Training: 34%|███▍ | 23810/70000 [8:25:24<16:22:18, 1.28s/step] Training: 34%|███▍ | 23811/70000 [8:25:25<16:03:38, 1.25s/step] Training: 34%|███▍ | 23812/70000 [8:25:27<15:58:19, 1.24s/step] Training: 34%|███▍ | 23813/70000 [8:25:28<15:48:48, 1.23s/step] Training: 34%|███▍ | 23814/70000 [8:25:29<15:36:06, 1.22s/step] Training: 34%|███▍ | 23815/70000 [8:25:30<16:03:01, 1.25s/step] Training: 34%|███▍ | 23816/70000 [8:25:32<16:40:35, 1.30s/step] Training: 34%|███▍ | 23817/70000 [8:25:33<16:20:53, 1.27s/step] Training: 34%|███▍ | 23818/70000 [8:25:34<16:34:29, 1.29s/step] Training: 34%|███▍ | 23819/70000 [8:25:36<16:10:35, 1.26s/step] Training: 34%|███▍ | 23820/70000 [8:25:37<15:53:46, 1.24s/step] Training: 34%|███▍ | 23821/70000 [8:25:38<16:11:35, 1.26s/step] Training: 34%|███▍ | 23822/70000 [8:25:39<15:56:53, 1.24s/step] Training: 34%|███▍ | 23823/70000 [8:25:41<16:25:17, 1.28s/step] Training: 34%|███▍ | 23824/70000 [8:25:42<16:14:12, 1.27s/step] Training: 34%|███▍ | 23825/70000 [8:25:43<16:56:34, 1.32s/step] Training: 34%|███▍ | 23826/70000 [8:25:45<17:00:02, 1.33s/step] Training: 34%|███▍ | 23827/70000 [8:25:46<16:29:19, 1.29s/step] Training: 34%|███▍ | 23828/70000 [8:25:47<16:38:35, 1.30s/step] Training: 34%|███▍ | 23829/70000 [8:25:48<16:14:12, 1.27s/step] Training: 34%|███▍ | 23830/70000 [8:25:50<15:57:23, 1.24s/step] Training: 34%|███▍ | 23831/70000 [8:25:51<16:19:11, 1.27s/step] Training: 34%|███▍ | 23832/70000 [8:25:52<16:38:19, 1.30s/step] Training: 34%|███▍ | 23833/70000 [8:25:54<16:42:32, 1.30s/step] Training: 34%|███▍ | 23834/70000 [8:25:55<16:21:50, 1.28s/step] Training: 34%|███▍ | 23835/70000 [8:25:56<16:01:31, 1.25s/step] Training: 34%|███▍ | 23836/70000 [8:25:57<15:52:42, 1.24s/step] Training: 34%|███▍ | 23837/70000 [8:25:58<15:40:32, 1.22s/step] Training: 34%|███▍ | 23838/70000 [8:26:00<15:33:29, 1.21s/step] Training: 34%|███▍ | 23839/70000 [8:26:01<15:58:34, 1.25s/step] Training: 34%|███▍ | 23840/70000 [8:26:02<16:22:34, 1.28s/step] Training: 34%|███▍ | 23841/70000 [8:26:04<16:36:35, 1.30s/step] Training: 34%|███▍ | 23842/70000 [8:26:05<16:42:11, 1.30s/step] Training: 34%|███▍ | 23843/70000 [8:26:06<16:16:13, 1.27s/step] Training: 34%|███▍ | 23844/70000 [8:26:07<16:07:16, 1.26s/step] Training: 34%|███▍ | 23845/70000 [8:26:09<15:53:06, 1.24s/step] Training: 34%|███▍ | 23846/70000 [8:26:10<15:41:19, 1.22s/step] Training: 34%|███▍ | 23847/70000 [8:26:11<16:07:25, 1.26s/step] Training: 34%|███▍ | 23848/70000 [8:26:12<16:22:51, 1.28s/step] Training: 34%|███▍ | 23849/70000 [8:26:14<16:36:44, 1.30s/step] Training: 34%|███▍ | 23850/70000 [8:26:15<16:38:22, 1.30s/step] Training: 34%|███▍ | 23851/70000 [8:26:16<16:32:57, 1.29s/step] Training: 34%|███▍ | 23852/70000 [8:26:17<16:10:21, 1.26s/step] Training: 34%|███▍ | 23853/70000 [8:26:19<16:30:10, 1.29s/step] Training: 34%|███▍ | 23854/70000 [8:26:20<16:09:17, 1.26s/step] Training: 34%|███▍ | 23855/70000 [8:26:21<16:35:14, 1.29s/step] Training: 34%|███▍ | 23856/70000 [8:26:23<16:19:17, 1.27s/step] Training: 34%|███▍ | 23857/70000 [8:26:24<16:55:01, 1.32s/step] Training: 34%|███▍ | 23858/70000 [8:26:25<16:56:50, 1.32s/step] Training: 34%|███▍ | 23859/70000 [8:26:27<16:26:52, 1.28s/step] Training: 34%|███▍ | 23860/70000 [8:26:28<16:05:12, 1.26s/step] Training: 34%|███▍ | 23861/70000 [8:26:29<15:49:50, 1.24s/step] Training: 34%|███▍ | 23862/70000 [8:26:30<15:38:48, 1.22s/step] Training: 34%|███▍ | 23863/70000 [8:26:31<16:03:00, 1.25s/step] Training: 34%|███▍ | 23864/70000 [8:26:33<15:57:39, 1.25s/step] Training: 34%|███▍ | 23865/70000 [8:26:34<16:23:42, 1.28s/step] Training: 34%|███▍ | 23866/70000 [8:26:35<16:04:04, 1.25s/step] Training: 34%|███▍ | 23867/70000 [8:26:36<15:48:41, 1.23s/step] Training: 34%|███▍ | 23868/70000 [8:26:38<15:54:28, 1.24s/step] Training: 34%|███▍ | 23869/70000 [8:26:39<15:42:47, 1.23s/step] Training: 34%|███▍ | 23870/70000 [8:26:40<15:33:44, 1.21s/step] Training: 34%|███▍ | 23871/70000 [8:26:41<15:59:36, 1.25s/step] Training: 34%|███▍ | 23872/70000 [8:26:43<16:01:15, 1.25s/step] Training: 34%|███▍ | 23873/70000 [8:26:44<16:44:06, 1.31s/step] Training: 34%|███▍ | 23874/70000 [8:26:45<16:24:02, 1.28s/step] Training: 34%|███▍ | 23875/70000 [8:26:46<16:02:45, 1.25s/step] Training: 34%|███▍ | 23876/70000 [8:26:48<15:57:11, 1.25s/step] Training: 34%|███▍ | 23877/70000 [8:26:49<15:45:33, 1.23s/step] Training: 34%|███▍ | 23878/70000 [8:26:50<15:37:03, 1.22s/step] Training: 34%|███▍ | 23879/70000 [8:26:51<16:01:32, 1.25s/step] Training: 34%|███▍ | 23880/70000 [8:26:53<16:35:42, 1.30s/step] Training: 34%|███▍ | 23881/70000 [8:26:54<16:23:57, 1.28s/step] Training: 34%|███▍ | 23882/70000 [8:26:55<16:00:13, 1.25s/step] Training: 34%|███▍ | 23883/70000 [8:26:57<16:16:15, 1.27s/step] Training: 34%|███▍ | 23884/70000 [8:26:58<16:33:18, 1.29s/step] Training: 34%|███▍ | 23885/70000 [8:26:59<16:11:08, 1.26s/step] Training: 34%|███▍ | 23886/70000 [8:27:00<15:53:16, 1.24s/step] Training: 34%|███▍ | 23887/70000 [8:27:01<15:41:10, 1.22s/step] Training: 34%|███▍ | 23888/70000 [8:27:03<16:01:14, 1.25s/step] Training: 34%|███▍ | 23889/70000 [8:27:04<16:48:45, 1.31s/step] Training: 34%|███▍ | 23890/70000 [8:27:06<17:16:19, 1.35s/step] Training: 34%|███▍ | 23891/70000 [8:27:07<16:39:49, 1.30s/step] Training: 34%|███▍ | 23892/70000 [8:27:08<16:49:42, 1.31s/step] Training: 34%|███▍ | 23893/70000 [8:27:09<16:21:17, 1.28s/step] Training: 34%|███▍ | 23894/70000 [8:27:11<16:01:05, 1.25s/step] Training: 34%|███▍ | 23895/70000 [8:27:12<15:46:45, 1.23s/step] Training: 34%|███▍ | 23896/70000 [8:27:13<16:07:01, 1.26s/step] Training: 34%|███▍ | 23897/70000 [8:27:14<16:22:09, 1.28s/step] Training: 34%|███▍ | 23898/70000 [8:27:16<16:26:08, 1.28s/step] Training: 34%|███▍ | 23899/70000 [8:27:17<16:03:04, 1.25s/step] Training: 34%|███▍ | 23900/70000 [8:27:18<15:59:23, 1.25s/step]INFO 2026-03-13 04:37:10 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.26 loss:0.052 grdn:7.635 lr:1.9e-05 updt_s:1.244 data_s:0.019 Training: 34%|███▍ | 23901/70000 [8:27:19<15:46:17, 1.23s/step] Training: 34%|███▍ | 23902/70000 [8:27:21<15:35:48, 1.22s/step] Training: 34%|███▍ | 23903/70000 [8:27:22<15:29:55, 1.21s/step] Training: 34%|███▍ | 23904/70000 [8:27:23<15:34:20, 1.22s/step] Training: 34%|███▍ | 23905/70000 [8:27:24<15:56:21, 1.24s/step] Training: 34%|███▍ | 23906/70000 [8:27:26<16:22:12, 1.28s/step] Training: 34%|███▍ | 23907/70000 [8:27:27<16:00:49, 1.25s/step] Training: 34%|███▍ | 23908/70000 [8:27:28<15:55:48, 1.24s/step] Training: 34%|███▍ | 23909/70000 [8:27:29<15:43:42, 1.23s/step] Training: 34%|███▍ | 23910/70000 [8:27:30<15:33:59, 1.22s/step] Training: 34%|███▍ | 23911/70000 [8:27:32<15:28:00, 1.21s/step] Training: 34%|███▍ | 23912/70000 [8:27:33<16:02:41, 1.25s/step] Training: 34%|███▍ | 23913/70000 [8:27:34<15:55:42, 1.24s/step] Training: 34%|███▍ | 23914/70000 [8:27:35<15:43:25, 1.23s/step] Training: 34%|███▍ | 23915/70000 [8:27:37<16:08:09, 1.26s/step] Training: 34%|███▍ | 23916/70000 [8:27:38<16:24:27, 1.28s/step] Training: 34%|███▍ | 23917/70000 [8:27:39<16:04:21, 1.26s/step] Training: 34%|███▍ | 23918/70000 [8:27:40<15:49:18, 1.24s/step] Training: 34%|███▍ | 23919/70000 [8:27:42<15:38:19, 1.22s/step] Training: 34%|███▍ | 23920/70000 [8:27:43<16:06:01, 1.26s/step] Training: 34%|███▍ | 23921/70000 [8:27:44<15:50:42, 1.24s/step] Training: 34%|███▍ | 23922/70000 [8:27:45<16:09:59, 1.26s/step] Training: 34%|███▍ | 23923/70000 [8:27:47<16:28:52, 1.29s/step] Training: 34%|███▍ | 23924/70000 [8:27:48<16:39:09, 1.30s/step] Training: 34%|███▍ | 23925/70000 [8:27:49<16:13:39, 1.27s/step] Training: 34%|███▍ | 23926/70000 [8:27:51<15:55:22, 1.24s/step] Training: 34%|███▍ | 23927/70000 [8:27:52<15:42:41, 1.23s/step] Training: 34%|███▍ | 23928/70000 [8:27:53<16:06:03, 1.26s/step] Training: 34%|███▍ | 23929/70000 [8:27:54<16:20:55, 1.28s/step] Training: 34%|███▍ | 23930/70000 [8:27:56<16:13:07, 1.27s/step] Training: 34%|███▍ | 23931/70000 [8:27:57<15:56:42, 1.25s/step] Training: 34%|███▍ | 23932/70000 [8:27:58<15:49:21, 1.24s/step] Training: 34%|███▍ | 23933/70000 [8:27:59<15:38:46, 1.22s/step] Training: 34%|███▍ | 23934/70000 [8:28:00<15:32:03, 1.21s/step] Training: 34%|███▍ | 23935/70000 [8:28:02<15:26:36, 1.21s/step] Training: 34%|███▍ | 23936/70000 [8:28:03<16:05:09, 1.26s/step] Training: 34%|███▍ | 23937/70000 [8:28:04<15:52:49, 1.24s/step] Training: 34%|███▍ | 23938/70000 [8:28:05<15:48:20, 1.24s/step] Training: 34%|███▍ | 23939/70000 [8:28:07<15:43:47, 1.23s/step] Training: 34%|███▍ | 23940/70000 [8:28:08<15:43:17, 1.23s/step] Training: 34%|███▍ | 23941/70000 [8:28:09<15:34:16, 1.22s/step] Training: 34%|███▍ | 23942/70000 [8:28:10<15:27:16, 1.21s/step] Training: 34%|███▍ | 23943/70000 [8:28:11<15:22:58, 1.20s/step] Training: 34%|███▍ | 23944/70000 [8:28:13<15:32:04, 1.21s/step] Training: 34%|███▍ | 23945/70000 [8:28:14<15:34:25, 1.22s/step] Training: 34%|███▍ | 23946/70000 [8:28:15<15:28:31, 1.21s/step] Training: 34%|███▍ | 23947/70000 [8:28:16<15:57:09, 1.25s/step] Training: 34%|███▍ | 23948/70000 [8:28:18<15:42:04, 1.23s/step] Training: 34%|███▍ | 23949/70000 [8:28:19<16:05:18, 1.26s/step] Training: 34%|███▍ | 23950/70000 [8:28:20<15:50:39, 1.24s/step] Training: 34%|███▍ | 23951/70000 [8:28:21<15:40:26, 1.23s/step] Training: 34%|███▍ | 23952/70000 [8:28:23<15:39:50, 1.22s/step] Training: 34%|███▍ | 23953/70000 [8:28:24<16:02:04, 1.25s/step] Training: 34%|███▍ | 23954/70000 [8:28:25<16:06:22, 1.26s/step] Training: 34%|███▍ | 23955/70000 [8:28:26<16:05:05, 1.26s/step] Training: 34%|███▍ | 23956/70000 [8:28:28<16:25:06, 1.28s/step] Training: 34%|███▍ | 23957/70000 [8:28:29<16:01:06, 1.25s/step] Training: 34%|███▍ | 23958/70000 [8:28:30<15:46:45, 1.23s/step] Training: 34%|███▍ | 23959/70000 [8:28:31<15:36:23, 1.22s/step] Training: 34%|███▍ | 23960/70000 [8:28:33<16:01:54, 1.25s/step] Training: 34%|███▍ | 23961/70000 [8:28:34<16:03:05, 1.26s/step] Training: 34%|███▍ | 23962/70000 [8:28:35<15:47:14, 1.23s/step] Training: 34%|███▍ | 23963/70000 [8:28:36<15:44:11, 1.23s/step] Training: 34%|███▍ | 23964/70000 [8:28:38<16:05:14, 1.26s/step] Training: 34%|███▍ | 23965/70000 [8:28:39<15:47:21, 1.23s/step] Training: 34%|███▍ | 23966/70000 [8:28:40<15:35:55, 1.22s/step] Training: 34%|███▍ | 23967/70000 [8:28:41<15:28:25, 1.21s/step] Training: 34%|███▍ | 23968/70000 [8:28:42<16:01:09, 1.25s/step] Training: 34%|███▍ | 23969/70000 [8:28:44<16:03:55, 1.26s/step] Training: 34%|███▍ | 23970/70000 [8:28:45<15:48:39, 1.24s/step] Training: 34%|███▍ | 23971/70000 [8:28:46<16:10:42, 1.27s/step] Training: 34%|███▍ | 23972/70000 [8:28:48<16:27:04, 1.29s/step] Training: 34%|███▍ | 23973/70000 [8:28:49<16:38:42, 1.30s/step] Training: 34%|███▍ | 23974/70000 [8:28:50<16:12:08, 1.27s/step] Training: 34%|███▍ | 23975/70000 [8:28:51<15:53:11, 1.24s/step] Training: 34%|███▍ | 23976/70000 [8:28:53<15:51:18, 1.24s/step] Training: 34%|███▍ | 23977/70000 [8:28:54<16:13:54, 1.27s/step] Training: 34%|███▍ | 23978/70000 [8:28:55<15:55:40, 1.25s/step] Training: 34%|███▍ | 23979/70000 [8:28:56<16:15:33, 1.27s/step] Training: 34%|███▍ | 23980/70000 [8:28:58<16:35:11, 1.30s/step] Training: 34%|███▍ | 23981/70000 [8:28:59<16:08:06, 1.26s/step] Training: 34%|███▍ | 23982/70000 [8:29:00<15:50:37, 1.24s/step] Training: 34%|███▍ | 23983/70000 [8:29:01<15:39:20, 1.22s/step] Training: 34%|███▍ | 23984/70000 [8:29:03<15:44:13, 1.23s/step] Training: 34%|███▍ | 23985/70000 [8:29:04<16:09:36, 1.26s/step] Training: 34%|███▍ | 23986/70000 [8:29:05<15:53:36, 1.24s/step] Training: 34%|███▍ | 23987/70000 [8:29:06<16:13:08, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=49710 Training: 34%|███▍ | 23988/70000 [8:29:08<16:28:30, 1.29s/step] Training: 34%|███▍ | 23989/70000 [8:29:09<16:42:14, 1.31s/step] Training: 34%|███▍ | 23990/70000 [8:29:10<16:13:42, 1.27s/step] Training: 34%|███▍ | 23991/70000 [8:29:11<15:55:53, 1.25s/step] Training: 34%|███▍ | 23992/70000 [8:29:13<16:15:51, 1.27s/step] Training: 34%|███▍ | 23993/70000 [8:29:14<16:32:21, 1.29s/step] Training: 34%|███▍ | 23994/70000 [8:29:15<16:09:54, 1.26s/step] Training: 34%|███▍ | 23995/70000 [8:29:17<15:57:51, 1.25s/step] Training: 34%|███▍ | 23996/70000 [8:29:18<16:17:15, 1.27s/step] Training: 34%|███▍ | 23997/70000 [8:29:19<16:31:24, 1.29s/step] Training: 34%|███▍ | 23998/70000 [8:29:20<16:05:29, 1.26s/step] Training: 34%|███▍ | 23999/70000 [8:29:22<15:49:40, 1.24s/step] Training: 34%|███▍ | 24000/70000 [8:29:23<16:12:33, 1.27s/step]INFO 2026-03-13 04:39:15 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.34 loss:0.052 grdn:7.094 lr:1.9e-05 updt_s:1.228 data_s:0.019 Training: 34%|███▍ | 24001/70000 [8:29:24<16:09:39, 1.26s/step] Training: 34%|███▍ | 24002/70000 [8:29:25<15:52:17, 1.24s/step] Training: 34%|███▍ | 24003/70000 [8:29:27<16:13:08, 1.27s/step] Training: 34%|███▍ | 24004/70000 [8:29:28<16:30:18, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=333 Training: 34%|███▍ | 24005/70000 [8:29:29<16:07:09, 1.26s/step] Training: 34%|███▍ | 24006/70000 [8:29:30<15:50:29, 1.24s/step] Training: 34%|███▍ | 24007/70000 [8:29:32<15:39:03, 1.23s/step] Training: 34%|███▍ | 24008/70000 [8:29:33<16:13:20, 1.27s/step] Training: 34%|███▍ | 24009/70000 [8:29:34<16:28:06, 1.29s/step] Training: 34%|███▍ | 24010/70000 [8:29:36<16:05:20, 1.26s/step] Training: 34%|███▍ | 24011/70000 [8:29:37<16:22:11, 1.28s/step] Training: 34%|███▍ | 24012/70000 [8:29:38<16:06:27, 1.26s/step] Training: 34%|███▍ | 24013/70000 [8:29:39<16:02:57, 1.26s/step] Training: 34%|███▍ | 24014/70000 [8:29:41<15:47:13, 1.24s/step] Training: 34%|███▍ | 24015/70000 [8:29:42<15:35:57, 1.22s/step] Training: 34%|███▍ | 24016/70000 [8:29:43<15:43:37, 1.23s/step] Training: 34%|███▍ | 24017/70000 [8:29:44<16:05:39, 1.26s/step] Training: 34%|███▍ | 24018/70000 [8:29:46<16:19:43, 1.28s/step] Training: 34%|███▍ | 24019/70000 [8:29:47<16:33:13, 1.30s/step] Training: 34%|███▍ | 24020/70000 [8:29:48<16:43:20, 1.31s/step] Training: 34%|███▍ | 24021/70000 [8:29:50<16:26:35, 1.29s/step] Training: 34%|███▍ | 24022/70000 [8:29:51<16:01:53, 1.26s/step] Training: 34%|███▍ | 24023/70000 [8:29:52<15:47:13, 1.24s/step] Training: 34%|███▍ | 24024/70000 [8:29:53<16:09:39, 1.27s/step] Training: 34%|███▍ | 24025/70000 [8:29:55<16:23:02, 1.28s/step] Training: 34%|███▍ | 24026/70000 [8:29:56<16:33:17, 1.30s/step] Training: 34%|███▍ | 24027/70000 [8:29:57<16:13:00, 1.27s/step] Training: 34%|███▍ | 24028/70000 [8:29:58<16:26:55, 1.29s/step] Training: 34%|███▍ | 24029/70000 [8:30:00<16:04:56, 1.26s/step] Training: 34%|███▍ | 24030/70000 [8:30:01<16:25:00, 1.29s/step] Training: 34%|███▍ | 24031/70000 [8:30:02<16:00:57, 1.25s/step] Training: 34%|███▍ | 24032/70000 [8:30:03<16:20:04, 1.28s/step] Training: 34%|███▍ | 24033/70000 [8:30:05<16:05:51, 1.26s/step] Training: 34%|███▍ | 24034/70000 [8:30:06<16:11:36, 1.27s/step] Training: 34%|███▍ | 24035/70000 [8:30:07<16:26:46, 1.29s/step] Training: 34%|███▍ | 24036/70000 [8:30:09<16:15:21, 1.27s/step] Training: 34%|███▍ | 24037/70000 [8:30:10<15:56:13, 1.25s/step] Training: 34%|███▍ | 24038/70000 [8:30:11<16:08:20, 1.26s/step] Training: 34%|███▍ | 24039/70000 [8:30:12<15:56:20, 1.25s/step] Training: 34%|███▍ | 24040/70000 [8:30:14<16:22:46, 1.28s/step] Training: 34%|███▍ | 24041/70000 [8:30:15<16:34:13, 1.30s/step] Training: 34%|███▍ | 24042/70000 [8:30:16<16:09:37, 1.27s/step] Training: 34%|███▍ | 24043/70000 [8:30:17<16:26:19, 1.29s/step] Training: 34%|███▍ | 24044/70000 [8:30:19<16:08:49, 1.26s/step] Training: 34%|███▍ | 24045/70000 [8:30:20<15:52:22, 1.24s/step] Training: 34%|███▍ | 24046/70000 [8:30:21<16:20:18, 1.28s/step] Training: 34%|███▍ | 24047/70000 [8:30:22<16:00:25, 1.25s/step] Training: 34%|███▍ | 24048/70000 [8:30:24<15:58:13, 1.25s/step] Training: 34%|███▍ | 24049/70000 [8:30:25<16:17:44, 1.28s/step] Training: 34%|███▍ | 24050/70000 [8:30:26<16:00:36, 1.25s/step] Training: 34%|███▍ | 24051/70000 [8:30:27<15:44:15, 1.23s/step] Training: 34%|███▍ | 24052/70000 [8:30:29<16:38:38, 1.30s/step] Training: 34%|███▍ | 24053/70000 [8:30:30<16:13:14, 1.27s/step] Training: 34%|███▍ | 24054/70000 [8:30:31<16:36:57, 1.30s/step] Training: 34%|███▍ | 24055/70000 [8:30:33<16:09:14, 1.27s/step] Training: 34%|███▍ | 24056/70000 [8:30:34<16:25:46, 1.29s/step] Training: 34%|███▍ | 24057/70000 [8:30:35<16:34:59, 1.30s/step] Training: 34%|███▍ | 24058/70000 [8:30:37<16:23:26, 1.28s/step] Training: 34%|███▍ | 24059/70000 [8:30:38<16:01:50, 1.26s/step] Training: 34%|███▍ | 24060/70000 [8:30:39<16:41:20, 1.31s/step] Training: 34%|███▍ | 24061/70000 [8:30:40<16:14:12, 1.27s/step] Training: 34%|███▍ | 24062/70000 [8:30:42<15:54:52, 1.25s/step] Training: 34%|███▍ | 24063/70000 [8:30:43<16:17:47, 1.28s/step] Training: 34%|███▍ | 24064/70000 [8:30:44<16:33:19, 1.30s/step] Training: 34%|███▍ | 24065/70000 [8:30:45<16:11:57, 1.27s/step] Training: 34%|███▍ | 24066/70000 [8:30:47<16:00:45, 1.25s/step] Training: 34%|███▍ | 24067/70000 [8:30:48<16:18:12, 1.28s/step] Training: 34%|███▍ | 24068/70000 [8:30:49<16:07:35, 1.26s/step] Training: 34%|███▍ | 24069/70000 [8:30:50<15:50:18, 1.24s/step] Training: 34%|███▍ | 24070/70000 [8:30:52<15:38:16, 1.23s/step] Training: 34%|███▍ | 24071/70000 [8:30:53<16:06:40, 1.26s/step] Training: 34%|███▍ | 24072/70000 [8:30:54<16:34:06, 1.30s/step] Training: 34%|███▍ | 24073/70000 [8:30:56<16:40:49, 1.31s/step] Training: 34%|███▍ | 24074/70000 [8:30:57<16:44:34, 1.31s/step] Training: 34%|███▍ | 24075/70000 [8:30:58<16:48:12, 1.32s/step] Training: 34%|███▍ | 24076/70000 [8:31:00<16:23:06, 1.28s/step] Training: 34%|███▍ | 24077/70000 [8:31:01<16:02:58, 1.26s/step] Training: 34%|███▍ | 24078/70000 [8:31:02<15:47:31, 1.24s/step] Training: 34%|███▍ | 24079/70000 [8:31:03<16:14:32, 1.27s/step] Training: 34%|███▍ | 24080/70000 [8:31:05<16:05:53, 1.26s/step] Training: 34%|███▍ | 24081/70000 [8:31:06<16:20:38, 1.28s/step] Training: 34%|███▍ | 24082/70000 [8:31:07<16:33:30, 1.30s/step] Training: 34%|███▍ | 24083/70000 [8:31:08<16:19:21, 1.28s/step] Training: 34%|███▍ | 24084/70000 [8:31:10<16:32:46, 1.30s/step] Training: 34%|███▍ | 24085/70000 [8:31:11<16:08:51, 1.27s/step] Training: 34%|███▍ | 24086/70000 [8:31:12<15:51:15, 1.24s/step] Training: 34%|███▍ | 24087/70000 [8:31:13<16:17:45, 1.28s/step] Training: 34%|███▍ | 24088/70000 [8:31:15<16:31:00, 1.30s/step] Training: 34%|███▍ | 24089/70000 [8:31:16<16:39:22, 1.31s/step] Training: 34%|███▍ | 24090/70000 [8:31:17<16:22:49, 1.28s/step] Training: 34%|███▍ | 24091/70000 [8:31:19<16:07:18, 1.26s/step] Training: 34%|███▍ | 24092/70000 [8:31:20<16:20:50, 1.28s/step] Training: 34%|███▍ | 24093/70000 [8:31:21<16:00:09, 1.25s/step] Training: 34%|███▍ | 24094/70000 [8:31:22<15:44:50, 1.23s/step] Training: 34%|███▍ | 24095/70000 [8:31:24<15:45:44, 1.24s/step] Training: 34%|███▍ | 24096/70000 [8:31:25<16:06:00, 1.26s/step] Training: 34%|███▍ | 24097/70000 [8:31:26<15:53:15, 1.25s/step] Training: 34%|███▍ | 24098/70000 [8:31:27<15:45:18, 1.24s/step] Training: 34%|███▍ | 24099/70000 [8:31:29<16:07:49, 1.27s/step] Training: 34%|███▍ | 24100/70000 [8:31:30<16:00:05, 1.26s/step]INFO 2026-03-13 04:41:22 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.43 loss:0.049 grdn:6.909 lr:1.9e-05 updt_s:1.248 data_s:0.019 Training: 34%|███▍ | 24101/70000 [8:31:31<15:44:34, 1.23s/step] Training: 34%|███▍ | 24102/70000 [8:31:32<15:33:43, 1.22s/step] Training: 34%|███▍ | 24103/70000 [8:31:33<15:26:25, 1.21s/step] Training: 34%|███▍ | 24104/70000 [8:31:35<16:09:15, 1.27s/step] Training: 34%|███▍ | 24105/70000 [8:31:36<16:23:02, 1.29s/step] Training: 34%|███▍ | 24106/70000 [8:31:37<16:34:00, 1.30s/step] Training: 34%|███▍ | 24107/70000 [8:31:39<16:39:58, 1.31s/step] Training: 34%|███▍ | 24108/70000 [8:31:40<16:20:19, 1.28s/step] Training: 34%|███▍ | 24109/70000 [8:31:41<15:59:49, 1.25s/step] Training: 34%|███▍ | 24110/70000 [8:31:42<15:44:57, 1.24s/step] Training: 34%|███▍ | 24111/70000 [8:31:44<15:35:29, 1.22s/step] Training: 34%|███▍ | 24112/70000 [8:31:45<15:58:27, 1.25s/step] Training: 34%|███▍ | 24113/70000 [8:31:46<16:15:01, 1.27s/step] Training: 34%|███▍ | 24114/70000 [8:31:48<16:27:54, 1.29s/step] Training: 34%|███▍ | 24115/70000 [8:31:49<16:14:19, 1.27s/step] Training: 34%|███▍ | 24116/70000 [8:31:50<16:30:03, 1.29s/step] Training: 34%|███▍ | 24117/70000 [8:31:51<16:06:33, 1.26s/step] Training: 34%|███▍ | 24118/70000 [8:31:53<15:49:15, 1.24s/step] Training: 34%|███▍ | 24119/70000 [8:31:54<15:38:59, 1.23s/step] Training: 34%|███▍ | 24120/70000 [8:31:55<16:07:25, 1.27s/step] Training: 34%|███▍ | 24121/70000 [8:31:56<15:57:52, 1.25s/step] Training: 34%|███▍ | 24122/70000 [8:31:58<15:52:04, 1.25s/step] Training: 34%|███▍ | 24123/70000 [8:31:59<15:44:32, 1.24s/step] Training: 34%|███▍ | 24124/70000 [8:32:00<16:06:31, 1.26s/step] Training: 34%|███▍ | 24125/70000 [8:32:01<15:49:48, 1.24s/step] Training: 34%|███▍ | 24126/70000 [8:32:02<15:37:54, 1.23s/step] Training: 34%|███▍ | 24127/70000 [8:32:04<15:29:32, 1.22s/step] Training: 34%|███▍ | 24128/70000 [8:32:05<15:54:17, 1.25s/step] Training: 34%|███▍ | 24129/70000 [8:32:06<16:17:00, 1.28s/step] Training: 34%|███▍ | 24130/70000 [8:32:08<16:00:19, 1.26s/step] Training: 34%|███▍ | 24131/70000 [8:32:09<16:17:52, 1.28s/step] Training: 34%|███▍ | 24132/70000 [8:32:10<16:05:20, 1.26s/step] Training: 34%|███▍ | 24133/70000 [8:32:11<15:48:10, 1.24s/step] Training: 34%|███▍ | 24134/70000 [8:32:12<15:36:31, 1.23s/step] Training: 34%|███▍ | 24135/70000 [8:32:14<15:28:26, 1.21s/step] Training: 34%|███▍ | 24136/70000 [8:32:15<16:07:00, 1.27s/step] Training: 34%|███▍ | 24137/70000 [8:32:16<16:42:01, 1.31s/step] Training: 34%|███▍ | 24138/70000 [8:32:18<16:47:22, 1.32s/step] Training: 34%|███▍ | 24139/70000 [8:32:19<16:50:12, 1.32s/step] Training: 34%|███▍ | 24140/70000 [8:32:20<16:27:45, 1.29s/step] Training: 34%|███▍ | 24141/70000 [8:32:22<16:04:01, 1.26s/step] Training: 34%|███▍ | 24142/70000 [8:32:23<15:47:08, 1.24s/step] Training: 34%|███▍ | 24143/70000 [8:32:24<15:35:52, 1.22s/step] Training: 34%|███▍ | 24144/70000 [8:32:25<15:39:30, 1.23s/step] Training: 34%|███▍ | 24145/70000 [8:32:26<16:01:51, 1.26s/step] Training: 34%|███▍ | 24146/70000 [8:32:28<16:17:01, 1.28s/step] Training: 34%|███▍ | 24147/70000 [8:32:29<16:04:40, 1.26s/step] Training: 34%|███▍ | 24148/70000 [8:32:30<15:47:39, 1.24s/step] Training: 34%|███▍ | 24149/70000 [8:32:32<16:08:00, 1.27s/step] Training: 34%|███▍ | 24150/70000 [8:32:33<15:52:11, 1.25s/step] Training: 35%|███▍ | 24151/70000 [8:32:34<15:39:20, 1.23s/step] Training: 35%|███▍ | 24152/70000 [8:32:35<16:02:52, 1.26s/step] Training: 35%|███▍ | 24153/70000 [8:32:37<16:27:46, 1.29s/step] Training: 35%|███▍ | 24154/70000 [8:32:38<16:13:28, 1.27s/step] Training: 35%|███▍ | 24155/70000 [8:32:39<15:58:35, 1.25s/step] Training: 35%|███▍ | 24156/70000 [8:32:40<16:16:05, 1.28s/step] Training: 35%|███▍ | 24157/70000 [8:32:42<15:56:48, 1.25s/step] Training: 35%|███▍ | 24158/70000 [8:32:43<15:43:31, 1.23s/step] Training: 35%|███▍ | 24159/70000 [8:32:44<15:33:38, 1.22s/step] Training: 35%|███▍ | 24160/70000 [8:32:45<15:57:42, 1.25s/step] Training: 35%|███▍ | 24161/70000 [8:32:47<16:39:24, 1.31s/step] Training: 35%|███▍ | 24162/70000 [8:32:48<16:16:35, 1.28s/step] Training: 35%|███▍ | 24163/70000 [8:32:49<16:26:59, 1.29s/step] Training: 35%|███▍ | 24164/70000 [8:32:50<16:06:41, 1.27s/step] Training: 35%|███▍ | 24165/70000 [8:32:52<15:49:22, 1.24s/step] Training: 35%|███▍ | 24166/70000 [8:32:53<15:37:30, 1.23s/step] Training: 35%|███▍ | 24167/70000 [8:32:54<15:28:04, 1.21s/step] Training: 35%|███▍ | 24168/70000 [8:32:55<16:01:55, 1.26s/step] Training: 35%|███▍ | 24169/70000 [8:32:57<15:49:22, 1.24s/step] Training: 35%|███▍ | 24170/70000 [8:32:58<16:48:31, 1.32s/step] Training: 35%|███▍ | 24171/70000 [8:32:59<16:51:44, 1.32s/step] Training: 35%|███▍ | 24172/70000 [8:33:01<16:31:59, 1.30s/step] Training: 35%|███▍ | 24173/70000 [8:33:02<16:07:14, 1.27s/step] Training: 35%|███▍ | 24174/70000 [8:33:03<15:49:01, 1.24s/step] Training: 35%|███▍ | 24175/70000 [8:33:04<15:37:17, 1.23s/step] Training: 35%|███▍ | 24176/70000 [8:33:05<15:34:31, 1.22s/step] Training: 35%|███▍ | 24177/70000 [8:33:07<15:57:21, 1.25s/step] Training: 35%|███▍ | 24178/70000 [8:33:08<16:37:53, 1.31s/step] Training: 35%|███▍ | 24179/70000 [8:33:09<16:21:30, 1.29s/step] Training: 35%|███▍ | 24180/70000 [8:33:11<15:59:21, 1.26s/step] Training: 35%|███▍ | 24181/70000 [8:33:12<16:13:59, 1.28s/step] Training: 35%|███▍ | 24182/70000 [8:33:13<15:55:16, 1.25s/step] Training: 35%|███▍ | 24183/70000 [8:33:14<15:41:24, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=5016 Training: 35%|███▍ | 24184/70000 [8:33:16<16:03:34, 1.26s/step] Training: 35%|███▍ | 24185/70000 [8:33:17<16:28:05, 1.29s/step] Training: 35%|███▍ | 24186/70000 [8:33:18<16:42:43, 1.31s/step] Training: 35%|███▍ | 24187/70000 [8:33:20<16:48:30, 1.32s/step] Training: 35%|███▍ | 24188/70000 [8:33:21<16:15:54, 1.28s/step] Training: 35%|███▍ | 24189/70000 [8:33:22<15:56:33, 1.25s/step] Training: 35%|███▍ | 24190/70000 [8:33:23<15:41:14, 1.23s/step] Training: 35%|███▍ | 24191/70000 [8:33:25<15:30:54, 1.22s/step] Training: 35%|███▍ | 24192/70000 [8:33:26<15:56:38, 1.25s/step] Training: 35%|███▍ | 24193/70000 [8:33:27<16:13:23, 1.27s/step] Training: 35%|███▍ | 24194/70000 [8:33:29<16:30:29, 1.30s/step] Training: 35%|███▍ | 24195/70000 [8:33:30<16:37:04, 1.31s/step] Training: 35%|███▍ | 24196/70000 [8:33:31<16:20:45, 1.28s/step] Training: 35%|███▍ | 24197/70000 [8:33:32<15:58:50, 1.26s/step] Training: 35%|███▍ | 24198/70000 [8:33:33<15:43:46, 1.24s/step] Training: 35%|███▍ | 24199/70000 [8:33:35<15:32:20, 1.22s/step] Training: 35%|███▍ | 24200/70000 [8:33:36<16:07:03, 1.27s/step]INFO 2026-03-13 04:43:28 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.51 loss:0.052 grdn:7.143 lr:1.9e-05 updt_s:1.240 data_s:0.019 Training: 35%|███▍ | 24201/70000 [8:33:37<16:20:49, 1.28s/step] Training: 35%|███▍ | 24202/70000 [8:33:39<16:32:04, 1.30s/step] Training: 35%|███▍ | 24203/70000 [8:33:40<17:03:19, 1.34s/step] Training: 35%|███▍ | 24204/70000 [8:33:41<16:33:07, 1.30s/step] Training: 35%|███▍ | 24205/70000 [8:33:43<16:08:39, 1.27s/step] Training: 35%|███▍ | 24206/70000 [8:33:44<15:51:24, 1.25s/step] Training: 35%|███▍ | 24207/70000 [8:33:45<15:38:51, 1.23s/step] Training: 35%|███▍ | 24208/70000 [8:33:46<15:39:19, 1.23s/step] Training: 35%|███▍ | 24209/70000 [8:33:47<16:01:43, 1.26s/step] Training: 35%|███▍ | 24210/70000 [8:33:49<16:16:19, 1.28s/step] Training: 35%|███▍ | 24211/70000 [8:33:50<16:30:04, 1.30s/step] Training: 35%|███▍ | 24212/70000 [8:33:51<16:35:52, 1.30s/step] Training: 35%|███▍ | 24213/70000 [8:33:53<16:09:48, 1.27s/step] Training: 35%|███▍ | 24214/70000 [8:33:54<15:50:57, 1.25s/step] Training: 35%|███▍ | 24215/70000 [8:33:55<15:38:12, 1.23s/step] Training: 35%|███▍ | 24216/70000 [8:33:56<16:00:35, 1.26s/step] Training: 35%|███▍ | 24217/70000 [8:33:58<16:30:12, 1.30s/step] Training: 35%|███▍ | 24218/70000 [8:33:59<16:38:06, 1.31s/step] Training: 35%|███▍ | 24219/70000 [8:34:00<16:17:01, 1.28s/step] Training: 35%|███▍ | 24220/70000 [8:34:02<16:31:04, 1.30s/step] Training: 35%|███▍ | 24221/70000 [8:34:03<16:07:46, 1.27s/step] Training: 35%|███▍ | 24222/70000 [8:34:04<15:51:51, 1.25s/step] Training: 35%|███▍ | 24223/70000 [8:34:05<15:39:31, 1.23s/step] Training: 35%|███▍ | 24224/70000 [8:34:07<16:01:43, 1.26s/step] Training: 35%|███▍ | 24225/70000 [8:34:08<16:16:04, 1.28s/step] Training: 35%|███▍ | 24226/70000 [8:34:09<16:00:47, 1.26s/step] Training: 35%|███▍ | 24227/70000 [8:34:10<16:26:12, 1.29s/step] Training: 35%|███▍ | 24228/70000 [8:34:12<16:06:55, 1.27s/step] Training: 35%|███▍ | 24229/70000 [8:34:13<15:48:28, 1.24s/step] Training: 35%|███▍ | 24230/70000 [8:34:14<15:35:23, 1.23s/step] Training: 35%|███▍ | 24231/70000 [8:34:15<15:26:35, 1.21s/step] Training: 35%|███▍ | 24232/70000 [8:34:17<15:59:29, 1.26s/step] Training: 35%|███▍ | 24233/70000 [8:34:18<16:17:57, 1.28s/step] Training: 35%|███▍ | 24234/70000 [8:34:19<16:30:17, 1.30s/step] Training: 35%|███▍ | 24235/70000 [8:34:21<16:36:23, 1.31s/step] Training: 35%|███▍ | 24236/70000 [8:34:22<16:18:55, 1.28s/step] Training: 35%|███▍ | 24237/70000 [8:34:23<15:57:36, 1.26s/step] Training: 35%|███▍ | 24238/70000 [8:34:24<15:42:57, 1.24s/step] Training: 35%|███▍ | 24239/70000 [8:34:25<15:31:21, 1.22s/step] Training: 35%|███▍ | 24240/70000 [8:34:27<15:55:30, 1.25s/step] Training: 35%|███▍ | 24241/70000 [8:34:28<16:13:05, 1.28s/step] Training: 35%|███▍ | 24242/70000 [8:34:29<16:24:36, 1.29s/step] Training: 35%|███▍ | 24243/70000 [8:34:31<16:08:35, 1.27s/step] Training: 35%|███▍ | 24244/70000 [8:34:32<16:25:15, 1.29s/step] Training: 35%|███▍ | 24245/70000 [8:34:33<16:28:08, 1.30s/step] Training: 35%|███▍ | 24246/70000 [8:34:34<16:05:09, 1.27s/step] Training: 35%|███▍ | 24247/70000 [8:34:36<15:47:43, 1.24s/step] Training: 35%|███▍ | 24248/70000 [8:34:37<16:07:11, 1.27s/step] Training: 35%|███▍ | 24249/70000 [8:34:38<16:36:19, 1.31s/step] Training: 35%|███▍ | 24250/70000 [8:34:40<16:40:06, 1.31s/step] Training: 35%|███▍ | 24251/70000 [8:34:41<16:17:22, 1.28s/step] Training: 35%|███▍ | 24252/70000 [8:34:42<16:53:47, 1.33s/step] Training: 35%|███▍ | 24253/70000 [8:34:44<16:21:55, 1.29s/step] Training: 35%|███▍ | 24254/70000 [8:34:45<15:59:44, 1.26s/step] Training: 35%|███▍ | 24255/70000 [8:34:46<15:44:18, 1.24s/step] Training: 35%|███▍ | 24256/70000 [8:34:47<16:04:15, 1.26s/step] Training: 35%|███▍ | 24257/70000 [8:34:49<16:16:49, 1.28s/step] Training: 35%|███▍ | 24258/70000 [8:34:50<16:01:55, 1.26s/step] Training: 35%|███▍ | 24259/70000 [8:34:51<15:45:47, 1.24s/step] Training: 35%|███▍ | 24260/70000 [8:34:52<16:39:02, 1.31s/step] Training: 35%|███▍ | 24261/70000 [8:34:54<16:08:56, 1.27s/step] Training: 35%|███▍ | 24262/70000 [8:34:55<15:50:52, 1.25s/step] Training: 35%|███▍ | 24263/70000 [8:34:56<15:36:14, 1.23s/step] Training: 35%|███▍ | 24264/70000 [8:34:57<16:11:24, 1.27s/step] Training: 35%|███▍ | 24265/70000 [8:34:59<16:24:29, 1.29s/step] Training: 35%|███▍ | 24266/70000 [8:35:00<16:32:43, 1.30s/step] Training: 35%|███▍ | 24267/70000 [8:35:01<16:06:21, 1.27s/step] Training: 35%|███▍ | 24268/70000 [8:35:03<16:29:02, 1.30s/step] Training: 35%|███▍ | 24269/70000 [8:35:04<16:01:26, 1.26s/step] Training: 35%|███▍ | 24270/70000 [8:35:05<15:44:38, 1.24s/step] Training: 35%|███▍ | 24271/70000 [8:35:06<15:33:11, 1.22s/step] Training: 35%|███▍ | 24272/70000 [8:35:07<15:56:33, 1.26s/step] Training: 35%|███▍ | 24273/70000 [8:35:09<16:16:04, 1.28s/step] Training: 35%|███▍ | 24274/70000 [8:35:10<16:27:27, 1.30s/step] Training: 35%|███▍ | 24275/70000 [8:35:11<16:10:55, 1.27s/step] Training: 35%|███▍ | 24276/70000 [8:35:13<15:53:07, 1.25s/step] Training: 35%|███▍ | 24277/70000 [8:35:14<16:16:20, 1.28s/step] Training: 35%|███▍ | 24278/70000 [8:35:15<15:55:30, 1.25s/step] Training: 35%|███▍ | 24279/70000 [8:35:16<15:40:12, 1.23s/step] Training: 35%|███▍ | 24280/70000 [8:35:18<16:09:07, 1.27s/step] Training: 35%|███▍ | 24281/70000 [8:35:19<16:33:15, 1.30s/step] Training: 35%|███▍ | 24282/70000 [8:35:20<16:38:16, 1.31s/step] Training: 35%|███▍ | 24283/70000 [8:35:22<16:17:01, 1.28s/step] Training: 35%|███▍ | 24284/70000 [8:35:23<15:56:00, 1.25s/step] Training: 35%|███▍ | 24285/70000 [8:35:24<16:18:16, 1.28s/step] Training: 35%|███▍ | 24286/70000 [8:35:25<15:54:28, 1.25s/step] Training: 35%|███▍ | 24287/70000 [8:35:26<15:39:29, 1.23s/step] Training: 35%|███▍ | 24288/70000 [8:35:28<15:59:05, 1.26s/step] Training: 35%|███▍ | 24289/70000 [8:35:29<16:14:40, 1.28s/step] Training: 35%|███▍ | 24290/70000 [8:35:30<15:59:09, 1.26s/step] Training: 35%|███▍ | 24291/70000 [8:35:32<16:14:52, 1.28s/step] Training: 35%|███▍ | 24292/70000 [8:35:33<15:53:50, 1.25s/step] Training: 35%|███▍ | 24293/70000 [8:35:34<16:05:11, 1.27s/step] Training: 35%|███▍ | 24294/70000 [8:35:35<15:45:49, 1.24s/step] Training: 35%|███▍ | 24295/70000 [8:35:37<15:34:29, 1.23s/step] Training: 35%|███▍ | 24296/70000 [8:35:38<16:06:04, 1.27s/step] Training: 35%|███▍ | 24297/70000 [8:35:39<16:19:16, 1.29s/step] Training: 35%|███▍ | 24298/70000 [8:35:41<16:27:34, 1.30s/step] Training: 35%|███▍ | 24299/70000 [8:35:42<16:36:56, 1.31s/step] Training: 35%|███▍ | 24300/70000 [8:35:43<16:09:47, 1.27s/step]INFO 2026-03-13 04:45:35 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.60 loss:0.048 grdn:6.518 lr:1.9e-05 updt_s:1.249 data_s:0.019 Training: 35%|███▍ | 24301/70000 [8:35:44<16:29:48, 1.30s/step] Training: 35%|███▍ | 24302/70000 [8:35:46<16:03:57, 1.27s/step] Training: 35%|███▍ | 24303/70000 [8:35:47<15:44:24, 1.24s/step] Training: 35%|███▍ | 24304/70000 [8:35:48<16:06:08, 1.27s/step] Training: 35%|███▍ | 24305/70000 [8:35:49<16:19:23, 1.29s/step] Training: 35%|███▍ | 24306/70000 [8:35:51<16:31:07, 1.30s/step] Training: 35%|███▍ | 24307/70000 [8:35:52<16:14:23, 1.28s/step] Training: 35%|███▍ | 24308/70000 [8:35:53<15:54:26, 1.25s/step] Training: 35%|███▍ | 24309/70000 [8:35:54<15:51:12, 1.25s/step] Training: 35%|███▍ | 24310/70000 [8:35:56<15:35:05, 1.23s/step] Training: 35%|███▍ | 24311/70000 [8:35:57<15:25:53, 1.22s/step] Training: 35%|███▍ | 24312/70000 [8:35:58<16:00:03, 1.26s/step] Training: 35%|███▍ | 24313/70000 [8:36:00<16:24:12, 1.29s/step] Training: 35%|███▍ | 24314/70000 [8:36:01<16:32:31, 1.30s/step] Training: 35%|███▍ | 24315/70000 [8:36:02<16:05:38, 1.27s/step] Training: 35%|███▍ | 24316/70000 [8:36:03<16:17:01, 1.28s/step] Training: 35%|███▍ | 24317/70000 [8:36:05<16:06:10, 1.27s/step] Training: 35%|███▍ | 24318/70000 [8:36:06<16:21:49, 1.29s/step] Training: 35%|███▍ | 24319/70000 [8:36:07<15:56:42, 1.26s/step] Training: 35%|███▍ | 24320/70000 [8:36:08<16:16:19, 1.28s/step] Training: 35%|███▍ | 24321/70000 [8:36:10<16:28:28, 1.30s/step] Training: 35%|███▍ | 24322/70000 [8:36:11<16:11:46, 1.28s/step] Training: 35%|███▍ | 24323/70000 [8:36:12<15:51:35, 1.25s/step] Training: 35%|███▍ | 24324/70000 [8:36:14<16:05:15, 1.27s/step] Training: 35%|███▍ | 24325/70000 [8:36:15<15:51:09, 1.25s/step] Training: 35%|███▍ | 24326/70000 [8:36:16<16:06:00, 1.27s/step] Training: 35%|███▍ | 24327/70000 [8:36:17<15:45:42, 1.24s/step] Training: 35%|███▍ | 24328/70000 [8:36:19<16:16:31, 1.28s/step] Training: 35%|███▍ | 24329/70000 [8:36:20<16:26:58, 1.30s/step] Training: 35%|███▍ | 24330/70000 [8:36:21<16:33:36, 1.31s/step] Training: 35%|███▍ | 24331/70000 [8:36:22<16:06:39, 1.27s/step] Training: 35%|███▍ | 24332/70000 [8:36:24<15:47:27, 1.24s/step] Training: 35%|███▍ | 24333/70000 [8:36:25<16:06:13, 1.27s/step] Training: 35%|███▍ | 24334/70000 [8:36:26<16:25:23, 1.29s/step] Training: 35%|███▍ | 24335/70000 [8:36:27<15:59:06, 1.26s/step] Training: 35%|███▍ | 24336/70000 [8:36:29<16:14:24, 1.28s/step] Training: 35%|███▍ | 24337/70000 [8:36:30<16:28:33, 1.30s/step] Training: 35%|███▍ | 24338/70000 [8:36:31<16:33:50, 1.31s/step] Training: 35%|███▍ | 24339/70000 [8:36:33<16:18:05, 1.29s/step] Training: 35%|███▍ | 24340/70000 [8:36:34<15:56:29, 1.26s/step] Training: 35%|███▍ | 24341/70000 [8:36:35<16:14:57, 1.28s/step] Training: 35%|███▍ | 24342/70000 [8:36:36<15:54:58, 1.25s/step] Training: 35%|███▍ | 24343/70000 [8:36:38<16:15:15, 1.28s/step] Training: 35%|███▍ | 24344/70000 [8:36:39<16:35:24, 1.31s/step] Training: 35%|███▍ | 24345/70000 [8:36:41<16:51:14, 1.33s/step] Training: 35%|███▍ | 24346/70000 [8:36:42<16:49:23, 1.33s/step] Training: 35%|███▍ | 24347/70000 [8:36:43<16:21:48, 1.29s/step] Training: 35%|███▍ | 24348/70000 [8:36:44<15:59:25, 1.26s/step] Training: 35%|███▍ | 24349/70000 [8:36:45<15:53:59, 1.25s/step] Training: 35%|███▍ | 24350/70000 [8:36:47<15:38:33, 1.23s/step] Training: 35%|███▍ | 24351/70000 [8:36:48<16:04:56, 1.27s/step] Training: 35%|███▍ | 24352/70000 [8:36:49<16:17:06, 1.28s/step] Training: 35%|███▍ | 24353/70000 [8:36:51<16:25:44, 1.30s/step] Training: 35%|███▍ | 24354/70000 [8:36:52<16:05:00, 1.27s/step] Training: 35%|███▍ | 24355/70000 [8:36:53<16:17:51, 1.29s/step] Training: 35%|███▍ | 24356/70000 [8:36:54<15:55:49, 1.26s/step] Training: 35%|███▍ | 24357/70000 [8:36:56<15:46:36, 1.24s/step] Training: 35%|███▍ | 24358/70000 [8:36:57<15:34:18, 1.23s/step] Training: 35%|███▍ | 24359/70000 [8:36:58<15:28:01, 1.22s/step] Training: 35%|███▍ | 24360/70000 [8:36:59<15:59:55, 1.26s/step] Training: 35%|███▍ | 24361/70000 [8:37:01<16:15:07, 1.28s/step] Training: 35%|███▍ | 24362/70000 [8:37:02<16:24:29, 1.29s/step] Training: 35%|███▍ | 24363/70000 [8:37:03<16:32:51, 1.31s/step] Training: 35%|███▍ | 24364/70000 [8:37:05<16:06:10, 1.27s/step] Training: 35%|███▍ | 24365/70000 [8:37:06<16:19:55, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=47206 Training: 35%|███▍ | 24366/70000 [8:37:07<15:58:00, 1.26s/step] Training: 35%|███▍ | 24367/70000 [8:37:08<16:16:25, 1.28s/step] Training: 35%|███▍ | 24368/70000 [8:37:10<16:25:15, 1.30s/step] Training: 35%|███▍ | 24369/70000 [8:37:11<16:35:37, 1.31s/step] Training: 35%|███▍ | 24370/70000 [8:37:12<16:45:40, 1.32s/step] Training: 35%|███▍ | 24371/70000 [8:37:14<16:23:53, 1.29s/step] Training: 35%|███▍ | 24372/70000 [8:37:15<15:58:50, 1.26s/step] Training: 35%|███▍ | 24373/70000 [8:37:16<16:14:57, 1.28s/step] Training: 35%|███▍ | 24374/70000 [8:37:17<15:55:11, 1.26s/step] Training: 35%|███▍ | 24375/70000 [8:37:19<16:18:48, 1.29s/step] Training: 35%|███▍ | 24376/70000 [8:37:20<16:37:05, 1.31s/step] Training: 35%|███▍ | 24377/70000 [8:37:21<16:57:56, 1.34s/step] Training: 35%|███▍ | 24378/70000 [8:37:23<16:54:30, 1.33s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=23665 Training: 35%|███▍ | 24379/70000 [8:37:24<16:26:25, 1.30s/step] Training: 35%|███▍ | 24380/70000 [8:37:25<16:02:22, 1.27s/step] Training: 35%|███▍ | 24381/70000 [8:37:26<15:55:11, 1.26s/step] Training: 35%|███▍ | 24382/70000 [8:37:28<15:40:19, 1.24s/step] Training: 35%|███▍ | 24383/70000 [8:37:29<15:41:37, 1.24s/step] Training: 35%|███▍ | 24384/70000 [8:37:30<15:58:54, 1.26s/step] Training: 35%|███▍ | 24385/70000 [8:37:32<16:18:01, 1.29s/step] Training: 35%|███▍ | 24386/70000 [8:37:33<16:02:39, 1.27s/step] Training: 35%|███▍ | 24387/70000 [8:37:34<16:19:02, 1.29s/step] Training: 35%|███▍ | 24388/70000 [8:37:35<15:55:57, 1.26s/step] Training: 35%|███▍ | 24389/70000 [8:37:37<15:48:55, 1.25s/step] Training: 35%|███▍ | 24390/70000 [8:37:38<15:35:53, 1.23s/step] Training: 35%|███▍ | 24391/70000 [8:37:39<15:25:57, 1.22s/step] Training: 35%|███▍ | 24392/70000 [8:37:40<15:55:08, 1.26s/step] Training: 35%|███▍ | 24393/70000 [8:37:42<16:30:31, 1.30s/step] Training: 35%|███▍ | 24394/70000 [8:37:43<16:35:58, 1.31s/step] Training: 35%|███▍ | 24395/70000 [8:37:44<16:41:17, 1.32s/step] Training: 35%|███▍ | 24396/70000 [8:37:45<16:12:46, 1.28s/step] Training: 35%|███▍ | 24397/70000 [8:37:47<16:24:31, 1.30s/step] Training: 35%|███▍ | 24398/70000 [8:37:48<16:01:11, 1.26s/step] Training: 35%|███▍ | 24399/70000 [8:37:49<15:44:52, 1.24s/step] Training: 35%|███▍ | 24400/70000 [8:37:51<15:59:58, 1.26s/step]INFO 2026-03-13 04:47:43 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.68 loss:0.053 grdn:6.796 lr:1.9e-05 updt_s:1.254 data_s:0.018 Training: 35%|███▍ | 24401/70000 [8:37:52<16:28:23, 1.30s/step] Training: 35%|███▍ | 24402/70000 [8:37:53<16:38:37, 1.31s/step] Training: 35%|███▍ | 24403/70000 [8:37:54<16:20:39, 1.29s/step] Training: 35%|███▍ | 24404/70000 [8:37:56<15:57:31, 1.26s/step] Training: 35%|███▍ | 24405/70000 [8:37:57<16:11:40, 1.28s/step] Training: 35%|███▍ | 24406/70000 [8:37:58<15:51:47, 1.25s/step] Training: 35%|███▍ | 24407/70000 [8:37:59<15:36:55, 1.23s/step] Training: 35%|███▍ | 24408/70000 [8:38:01<16:06:47, 1.27s/step] Training: 35%|███▍ | 24409/70000 [8:38:02<16:28:17, 1.30s/step] Training: 35%|███▍ | 24410/70000 [8:38:03<16:34:41, 1.31s/step] Training: 35%|███▍ | 24411/70000 [8:38:05<16:13:00, 1.28s/step] Training: 35%|███▍ | 24412/70000 [8:38:06<15:52:00, 1.25s/step] Training: 35%|███▍ | 24413/70000 [8:38:07<15:49:01, 1.25s/step] Training: 35%|███▍ | 24414/70000 [8:38:08<15:35:13, 1.23s/step] Training: 35%|███▍ | 24415/70000 [8:38:09<15:26:12, 1.22s/step] Training: 35%|███▍ | 24416/70000 [8:38:11<15:51:26, 1.25s/step] Training: 35%|███▍ | 24417/70000 [8:38:12<16:30:09, 1.30s/step] Training: 35%|███▍ | 24418/70000 [8:38:13<16:09:42, 1.28s/step] Training: 35%|███▍ | 24419/70000 [8:38:15<16:21:51, 1.29s/step] Training: 35%|███▍ | 24420/70000 [8:38:16<15:58:06, 1.26s/step] Training: 35%|███▍ | 24421/70000 [8:38:17<15:49:59, 1.25s/step] Training: 35%|███▍ | 24422/70000 [8:38:18<15:36:09, 1.23s/step] Training: 35%|███▍ | 24423/70000 [8:38:20<15:25:47, 1.22s/step] Training: 35%|███▍ | 24424/70000 [8:38:21<15:23:56, 1.22s/step] Training: 35%|███▍ | 24425/70000 [8:38:22<16:16:37, 1.29s/step] Training: 35%|███▍ | 24426/70000 [8:38:24<16:25:53, 1.30s/step] Training: 35%|███▍ | 24427/70000 [8:38:25<16:32:28, 1.31s/step] Training: 35%|███▍ | 24428/70000 [8:38:26<16:05:28, 1.27s/step] Training: 35%|███▍ | 24429/70000 [8:38:27<16:18:16, 1.29s/step] Training: 35%|███▍ | 24430/70000 [8:38:29<15:56:47, 1.26s/step] Training: 35%|███▍ | 24431/70000 [8:38:30<15:40:23, 1.24s/step] Training: 35%|███▍ | 24432/70000 [8:38:31<15:39:22, 1.24s/step] Training: 35%|███▍ | 24433/70000 [8:38:32<16:01:25, 1.27s/step] Training: 35%|███▍ | 24434/70000 [8:38:34<16:14:46, 1.28s/step] Training: 35%|███▍ | 24435/70000 [8:38:35<16:02:08, 1.27s/step] Training: 35%|███▍ | 24436/70000 [8:38:36<15:43:51, 1.24s/step] Training: 35%|███▍ | 24437/70000 [8:38:37<16:04:08, 1.27s/step] Training: 35%|███▍ | 24438/70000 [8:38:39<15:45:55, 1.25s/step] Training: 35%|███▍ | 24439/70000 [8:38:40<15:33:00, 1.23s/step] Training: 35%|███▍ | 24440/70000 [8:38:41<15:23:53, 1.22s/step] Training: 35%|███▍ | 24441/70000 [8:38:42<16:10:02, 1.28s/step] Training: 35%|███▍ | 24442/70000 [8:38:44<16:19:59, 1.29s/step] Training: 35%|███▍ | 24443/70000 [8:38:45<15:59:51, 1.26s/step] Training: 35%|███▍ | 24444/70000 [8:38:46<15:43:43, 1.24s/step] Training: 35%|███▍ | 24445/70000 [8:38:47<15:40:38, 1.24s/step] Training: 35%|███▍ | 24446/70000 [8:38:49<15:28:42, 1.22s/step] Training: 35%|███▍ | 24447/70000 [8:38:50<15:20:45, 1.21s/step] Training: 35%|███▍ | 24448/70000 [8:38:51<15:15:08, 1.21s/step] Training: 35%|███▍ | 24449/70000 [8:38:52<15:43:27, 1.24s/step] Training: 35%|███▍ | 24450/70000 [8:38:53<15:34:32, 1.23s/step] Training: 35%|███▍ | 24451/70000 [8:38:55<15:56:54, 1.26s/step] Training: 35%|███▍ | 24452/70000 [8:38:56<15:40:32, 1.24s/step] Training: 35%|███▍ | 24453/70000 [8:38:57<15:33:53, 1.23s/step] Training: 35%|███▍ | 24454/70000 [8:38:58<15:24:37, 1.22s/step] Training: 35%|███▍ | 24455/70000 [8:39:00<15:18:30, 1.21s/step] Training: 35%|███▍ | 24456/70000 [8:39:01<15:22:59, 1.22s/step] Training: 35%|███▍ | 24457/70000 [8:39:02<15:49:01, 1.25s/step] Training: 35%|███▍ | 24458/70000 [8:39:03<16:24:05, 1.30s/step] Training: 35%|███▍ | 24459/70000 [8:39:05<16:31:09, 1.31s/step] Training: 35%|███▍ | 24460/70000 [8:39:06<16:04:42, 1.27s/step] Training: 35%|███▍ | 24461/70000 [8:39:07<16:17:53, 1.29s/step] Training: 35%|███▍ | 24462/70000 [8:39:09<15:58:06, 1.26s/step] Training: 35%|███▍ | 24463/70000 [8:39:10<15:40:50, 1.24s/step] Training: 35%|███▍ | 24464/70000 [8:39:11<15:32:27, 1.23s/step] Training: 35%|███▍ | 24465/70000 [8:39:12<15:56:05, 1.26s/step] Training: 35%|███▍ | 24466/70000 [8:39:14<16:26:59, 1.30s/step] Training: 35%|███▍ | 24467/70000 [8:39:15<16:11:34, 1.28s/step] Training: 35%|███▍ | 24468/70000 [8:39:16<15:51:08, 1.25s/step] Training: 35%|███▍ | 24469/70000 [8:39:17<16:07:54, 1.28s/step] Training: 35%|███▍ | 24470/70000 [8:39:19<15:48:48, 1.25s/step] Training: 35%|███▍ | 24471/70000 [8:39:20<15:36:13, 1.23s/step] Training: 35%|███▍ | 24472/70000 [8:39:21<15:58:08, 1.26s/step] Training: 35%|███▍ | 24473/70000 [8:39:23<16:23:47, 1.30s/step] Training: 35%|███▍ | 24474/70000 [8:39:24<16:27:43, 1.30s/step] Training: 35%|███▍ | 24475/70000 [8:39:25<16:35:30, 1.31s/step] Training: 35%|███▍ | 24476/70000 [8:39:26<16:05:17, 1.27s/step] Training: 35%|███▍ | 24477/70000 [8:39:28<15:59:15, 1.26s/step] Training: 35%|███▍ | 24478/70000 [8:39:29<15:42:10, 1.24s/step] Training: 35%|███▍ | 24479/70000 [8:39:30<15:30:52, 1.23s/step] Training: 35%|███▍ | 24480/70000 [8:39:31<15:51:51, 1.25s/step] Training: 35%|███▍ | 24481/70000 [8:39:33<16:17:32, 1.29s/step] Training: 35%|███▍ | 24482/70000 [8:39:34<16:32:53, 1.31s/step] Training: 35%|███▍ | 24483/70000 [8:39:35<16:33:58, 1.31s/step] Training: 35%|███▍ | 24484/70000 [8:39:37<16:06:11, 1.27s/step] Training: 35%|███▍ | 24485/70000 [8:39:38<15:53:08, 1.26s/step] Training: 35%|███▍ | 24486/70000 [8:39:39<15:39:04, 1.24s/step] Training: 35%|███▍ | 24487/70000 [8:39:40<15:27:07, 1.22s/step] Training: 35%|███▍ | 24488/70000 [8:39:41<15:28:19, 1.22s/step] Training: 35%|███▍ | 24489/70000 [8:39:43<15:52:02, 1.26s/step] Training: 35%|███▍ | 24490/70000 [8:39:44<16:10:05, 1.28s/step] Training: 35%|███▍ | 24491/70000 [8:39:45<16:49:41, 1.33s/step] Training: 35%|███▍ | 24492/70000 [8:39:47<16:17:12, 1.29s/step] Training: 35%|███▍ | 24493/70000 [8:39:48<16:26:45, 1.30s/step] Training: 35%|███▍ | 24494/70000 [8:39:49<16:01:21, 1.27s/step] Training: 35%|███▍ | 24495/70000 [8:39:50<15:43:54, 1.24s/step] Training: 35%|███▍ | 24496/70000 [8:39:52<15:42:47, 1.24s/step] Training: 35%|███▍ | 24497/70000 [8:39:53<16:04:07, 1.27s/step] Training: 35%|███▍ | 24498/70000 [8:39:54<16:20:30, 1.29s/step] Training: 35%|███▍ | 24499/70000 [8:39:56<16:32:44, 1.31s/step] Training: 35%|███▌ | 24500/70000 [8:39:57<16:04:09, 1.27s/step]INFO 2026-03-13 04:49:49 ot_train.py:435 step:24K smpl:2M ep:5K epch:20.77 loss:0.052 grdn:6.271 lr:1.8e-05 updt_s:1.242 data_s:0.019 Training: 35%|███▌ | 24501/70000 [8:39:58<16:15:05, 1.29s/step] Training: 35%|███▌ | 24502/70000 [8:39:59<15:53:32, 1.26s/step] Training: 35%|███▌ | 24503/70000 [8:40:01<15:38:52, 1.24s/step] Training: 35%|███▌ | 24504/70000 [8:40:02<16:01:08, 1.27s/step] Training: 35%|███▌ | 24505/70000 [8:40:03<16:15:59, 1.29s/step] Training: 35%|███▌ | 24506/70000 [8:40:04<16:22:06, 1.30s/step] Training: 35%|███▌ | 24507/70000 [8:40:06<16:05:30, 1.27s/step] Training: 35%|███▌ | 24508/70000 [8:40:07<15:46:18, 1.25s/step] Training: 35%|███▌ | 24509/70000 [8:40:08<15:44:46, 1.25s/step] Training: 35%|███▌ | 24510/70000 [8:40:09<15:32:01, 1.23s/step] Training: 35%|███▌ | 24511/70000 [8:40:11<15:26:27, 1.22s/step] Training: 35%|███▌ | 24512/70000 [8:40:12<15:53:32, 1.26s/step] Training: 35%|███▌ | 24513/70000 [8:40:13<16:14:37, 1.29s/step] Training: 35%|███▌ | 24514/70000 [8:40:15<16:22:04, 1.30s/step] Training: 35%|███▌ | 24515/70000 [8:40:16<16:44:34, 1.33s/step] Training: 35%|███▌ | 24516/70000 [8:40:17<16:13:43, 1.28s/step] Training: 35%|███▌ | 24517/70000 [8:40:18<15:57:47, 1.26s/step] Training: 35%|███▌ | 24518/70000 [8:40:20<15:41:30, 1.24s/step] Training: 35%|███▌ | 24519/70000 [8:40:21<15:30:23, 1.23s/step] Training: 35%|███▌ | 24520/70000 [8:40:22<15:31:21, 1.23s/step] Training: 35%|███▌ | 24521/70000 [8:40:23<15:58:04, 1.26s/step] Training: 35%|███▌ | 24522/70000 [8:40:25<16:07:25, 1.28s/step] Training: 35%|███▌ | 24523/70000 [8:40:26<16:47:37, 1.33s/step] Training: 35%|███▌ | 24524/70000 [8:40:27<16:16:54, 1.29s/step] Training: 35%|███▌ | 24525/70000 [8:40:29<16:24:06, 1.30s/step] Training: 35%|███▌ | 24526/70000 [8:40:30<16:01:17, 1.27s/step] Training: 35%|███▌ | 24527/70000 [8:40:31<15:43:21, 1.24s/step] Training: 35%|███▌ | 24528/70000 [8:40:32<15:35:25, 1.23s/step] Training: 35%|███▌ | 24529/70000 [8:40:34<15:59:46, 1.27s/step] Training: 35%|███▌ | 24530/70000 [8:40:35<15:42:45, 1.24s/step] Training: 35%|███▌ | 24531/70000 [8:40:36<15:39:34, 1.24s/step] Training: 35%|███▌ | 24532/70000 [8:40:37<16:04:02, 1.27s/step] Training: 35%|███▌ | 24533/70000 [8:40:39<16:13:39, 1.28s/step] Training: 35%|███▌ | 24534/70000 [8:40:40<15:51:23, 1.26s/step] Training: 35%|███▌ | 24535/70000 [8:40:41<15:35:34, 1.23s/step] Training: 35%|███▌ | 24536/70000 [8:40:42<15:59:50, 1.27s/step] Training: 35%|███▌ | 24537/70000 [8:40:44<16:15:22, 1.29s/step] Training: 35%|███▌ | 24538/70000 [8:40:45<15:56:51, 1.26s/step] Training: 35%|███▌ | 24539/70000 [8:40:46<15:46:19, 1.25s/step] Training: 35%|███▌ | 24540/70000 [8:40:47<15:54:08, 1.26s/step] Training: 35%|███▌ | 24541/70000 [8:40:49<15:47:15, 1.25s/step] Training: 35%|███▌ | 24542/70000 [8:40:50<15:33:56, 1.23s/step] Training: 35%|███▌ | 24543/70000 [8:40:51<15:24:33, 1.22s/step] Training: 35%|███▌ | 24544/70000 [8:40:52<15:50:07, 1.25s/step] Training: 35%|███▌ | 24545/70000 [8:40:54<16:08:46, 1.28s/step] Training: 35%|███▌ | 24546/70000 [8:40:55<15:59:24, 1.27s/step] Training: 35%|███▌ | 24547/70000 [8:40:56<16:13:36, 1.29s/step] Training: 35%|███▌ | 24548/70000 [8:40:58<16:28:55, 1.31s/step] Training: 35%|███▌ | 24549/70000 [8:40:59<16:05:52, 1.28s/step] Training: 35%|███▌ | 24550/70000 [8:41:00<15:46:09, 1.25s/step] Training: 35%|███▌ | 24551/70000 [8:41:01<15:32:09, 1.23s/step] Training: 35%|███▌ | 24552/70000 [8:41:02<15:33:47, 1.23s/step] Training: 35%|███▌ | 24553/70000 [8:41:04<16:01:07, 1.27s/step] Training: 35%|███▌ | 24554/70000 [8:41:05<15:44:03, 1.25s/step] Training: 35%|███▌ | 24555/70000 [8:41:06<16:35:40, 1.31s/step] Training: 35%|███▌ | 24556/70000 [8:41:08<16:45:24, 1.33s/step] Training: 35%|███▌ | 24557/70000 [8:41:09<16:41:50, 1.32s/step] Training: 35%|███▌ | 24558/70000 [8:41:10<16:12:24, 1.28s/step] Training: 35%|███▌ | 24559/70000 [8:41:11<15:50:41, 1.26s/step] Training: 35%|███▌ | 24560/70000 [8:41:13<15:39:18, 1.24s/step] Training: 35%|███▌ | 24561/70000 [8:41:14<15:58:56, 1.27s/step] Training: 35%|███▌ | 24562/70000 [8:41:15<15:42:06, 1.24s/step] Training: 35%|███▌ | 24563/70000 [8:41:16<15:40:43, 1.24s/step] Training: 35%|███▌ | 24564/70000 [8:41:18<15:28:40, 1.23s/step] Training: 35%|███▌ | 24565/70000 [8:41:19<16:22:27, 1.30s/step] Training: 35%|███▌ | 24566/70000 [8:41:20<15:59:21, 1.27s/step] Training: 35%|███▌ | 24567/70000 [8:41:21<15:41:17, 1.24s/step] Training: 35%|███▌ | 24568/70000 [8:41:23<16:00:22, 1.27s/step] Training: 35%|███▌ | 24569/70000 [8:41:24<16:13:56, 1.29s/step] Training: 35%|███▌ | 24570/70000 [8:41:25<16:00:40, 1.27s/step] Training: 35%|███▌ | 24571/70000 [8:41:27<15:48:18, 1.25s/step] Training: 35%|███▌ | 24572/70000 [8:41:28<15:34:26, 1.23s/step] Training: 35%|███▌ | 24573/70000 [8:41:29<15:58:27, 1.27s/step] Training: 35%|███▌ | 24574/70000 [8:41:30<15:38:19, 1.24s/step] Training: 35%|███▌ | 24575/70000 [8:41:31<15:26:34, 1.22s/step] Training: 35%|███▌ | 24576/70000 [8:41:33<15:53:50, 1.26s/step] Training: 35%|███▌ | 24577/70000 [8:41:34<16:08:44, 1.28s/step] Training: 35%|███▌ | 24578/70000 [8:41:35<15:55:02, 1.26s/step] Training: 35%|███▌ | 24579/70000 [8:41:37<16:09:48, 1.28s/step] Training: 35%|███▌ | 24580/70000 [8:41:38<15:49:59, 1.25s/step] Training: 35%|███▌ | 24581/70000 [8:41:39<16:06:18, 1.28s/step] Training: 35%|███▌ | 24582/70000 [8:41:40<15:44:34, 1.25s/step] Training: 35%|███▌ | 24583/70000 [8:41:42<15:30:39, 1.23s/step] Training: 35%|███▌ | 24584/70000 [8:41:43<15:30:51, 1.23s/step] Training: 35%|███▌ | 24585/70000 [8:41:44<15:59:37, 1.27s/step] Training: 35%|███▌ | 24586/70000 [8:41:45<16:12:21, 1.28s/step] Training: 35%|███▌ | 24587/70000 [8:41:47<16:23:05, 1.30s/step] Training: 35%|███▌ | 24588/70000 [8:41:48<15:57:27, 1.27s/step] Training: 35%|███▌ | 24589/70000 [8:41:49<16:16:50, 1.29s/step] Training: 35%|███▌ | 24590/70000 [8:41:51<15:51:43, 1.26s/step] Training: 35%|███▌ | 24591/70000 [8:41:52<15:35:24, 1.24s/step] Training: 35%|███▌ | 24592/70000 [8:41:53<15:30:20, 1.23s/step] Training: 35%|███▌ | 24593/70000 [8:41:54<15:51:34, 1.26s/step] Training: 35%|███▌ | 24594/70000 [8:41:56<16:04:44, 1.27s/step] Training: 35%|███▌ | 24595/70000 [8:41:57<15:54:11, 1.26s/step] Training: 35%|███▌ | 24596/70000 [8:41:58<15:37:01, 1.24s/step] Training: 35%|███▌ | 24597/70000 [8:41:59<15:58:01, 1.27s/step] Training: 35%|███▌ | 24598/70000 [8:42:00<15:42:45, 1.25s/step] Training: 35%|███▌ | 24599/70000 [8:42:02<15:30:24, 1.23s/step] Training: 35%|███▌ | 24600/70000 [8:42:03<15:51:41, 1.26s/step]INFO 2026-03-13 04:51:55 ot_train.py:435 step:25K smpl:2M ep:5K epch:20.85 loss:0.052 grdn:6.946 lr:1.8e-05 updt_s:1.241 data_s:0.019 Training: 35%|███▌ | 24601/70000 [8:42:04<16:09:22, 1.28s/step] Training: 35%|███▌ | 24602/70000 [8:42:06<15:57:26, 1.27s/step] Training: 35%|███▌ | 24603/70000 [8:42:07<15:42:57, 1.25s/step] Training: 35%|███▌ | 24604/70000 [8:42:08<15:30:30, 1.23s/step] Training: 35%|███▌ | 24605/70000 [8:42:09<15:30:05, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=25717 Training: 35%|███▌ | 24606/70000 [8:42:11<15:55:11, 1.26s/step] Training: 35%|███▌ | 24607/70000 [8:42:12<15:36:31, 1.24s/step] Training: 35%|███▌ | 24608/70000 [8:42:13<15:56:14, 1.26s/step] Training: 35%|███▌ | 24609/70000 [8:42:14<16:09:56, 1.28s/step] Training: 35%|███▌ | 24610/70000 [8:42:16<15:53:07, 1.26s/step] Training: 35%|███▌ | 24611/70000 [8:42:17<15:37:09, 1.24s/step] Training: 35%|███▌ | 24612/70000 [8:42:18<15:51:57, 1.26s/step] Training: 35%|███▌ | 24613/70000 [8:42:19<15:44:23, 1.25s/step] Training: 35%|███▌ | 24614/70000 [8:42:21<16:01:52, 1.27s/step] Training: 35%|███▌ | 24615/70000 [8:42:22<15:40:50, 1.24s/step] Training: 35%|███▌ | 24616/70000 [8:42:23<15:37:07, 1.24s/step] Training: 35%|███▌ | 24617/70000 [8:42:24<16:08:08, 1.28s/step] Training: 35%|███▌ | 24618/70000 [8:42:26<16:18:38, 1.29s/step] Training: 35%|███▌ | 24619/70000 [8:42:27<16:25:28, 1.30s/step] Training: 35%|███▌ | 24620/70000 [8:42:28<16:00:17, 1.27s/step] Training: 35%|███▌ | 24621/70000 [8:42:30<16:14:13, 1.29s/step] Training: 35%|███▌ | 24622/70000 [8:42:31<15:59:09, 1.27s/step] Training: 35%|███▌ | 24623/70000 [8:42:32<15:38:57, 1.24s/step] Training: 35%|███▌ | 24624/70000 [8:42:33<15:35:18, 1.24s/step] Training: 35%|███▌ | 24625/70000 [8:42:35<15:53:37, 1.26s/step] Training: 35%|███▌ | 24626/70000 [8:42:36<16:11:02, 1.28s/step] Training: 35%|███▌ | 24627/70000 [8:42:37<15:53:53, 1.26s/step] Training: 35%|███▌ | 24628/70000 [8:42:38<15:36:28, 1.24s/step] Training: 35%|███▌ | 24629/70000 [8:42:40<15:57:29, 1.27s/step] Training: 35%|███▌ | 24630/70000 [8:42:41<15:40:07, 1.24s/step] Training: 35%|███▌ | 24631/70000 [8:42:42<15:28:47, 1.23s/step] Training: 35%|███▌ | 24632/70000 [8:42:43<15:19:43, 1.22s/step] Training: 35%|███▌ | 24633/70000 [8:42:45<16:09:07, 1.28s/step] Training: 35%|███▌ | 24634/70000 [8:42:46<16:01:47, 1.27s/step] Training: 35%|███▌ | 24635/70000 [8:42:47<15:50:47, 1.26s/step] Training: 35%|███▌ | 24636/70000 [8:42:48<15:35:37, 1.24s/step] Training: 35%|███▌ | 24637/70000 [8:42:49<15:34:40, 1.24s/step] Training: 35%|███▌ | 24638/70000 [8:42:51<15:36:49, 1.24s/step] Training: 35%|███▌ | 24639/70000 [8:42:52<15:25:29, 1.22s/step] Training: 35%|███▌ | 24640/70000 [8:42:53<15:16:50, 1.21s/step] Training: 35%|███▌ | 24641/70000 [8:42:54<15:42:55, 1.25s/step] Training: 35%|███▌ | 24642/70000 [8:42:56<15:39:03, 1.24s/step] Training: 35%|███▌ | 24643/70000 [8:42:57<15:27:04, 1.23s/step] Training: 35%|███▌ | 24644/70000 [8:42:58<15:47:02, 1.25s/step] Training: 35%|███▌ | 24645/70000 [8:42:59<15:44:35, 1.25s/step] Training: 35%|███▌ | 24646/70000 [8:43:01<15:42:53, 1.25s/step] Training: 35%|███▌ | 24647/70000 [8:43:02<15:29:38, 1.23s/step] Training: 35%|███▌ | 24648/70000 [8:43:03<15:27:47, 1.23s/step] Training: 35%|███▌ | 24649/70000 [8:43:04<16:00:48, 1.27s/step] Training: 35%|███▌ | 24650/70000 [8:43:06<16:14:03, 1.29s/step] Training: 35%|███▌ | 24651/70000 [8:43:07<15:52:01, 1.26s/step] Training: 35%|███▌ | 24652/70000 [8:43:08<15:34:08, 1.24s/step] Training: 35%|███▌ | 24653/70000 [8:43:09<15:22:55, 1.22s/step] Training: 35%|███▌ | 24654/70000 [8:43:11<15:44:05, 1.25s/step] Training: 35%|███▌ | 24655/70000 [8:43:12<16:06:46, 1.28s/step] Training: 35%|███▌ | 24656/70000 [8:43:13<15:48:44, 1.26s/step] Training: 35%|███▌ | 24657/70000 [8:43:15<16:05:40, 1.28s/step] Training: 35%|███▌ | 24658/70000 [8:43:16<16:16:10, 1.29s/step] Training: 35%|███▌ | 24659/70000 [8:43:17<15:59:27, 1.27s/step] Training: 35%|███▌ | 24660/70000 [8:43:18<15:41:08, 1.25s/step] Training: 35%|███▌ | 24661/70000 [8:43:20<15:58:06, 1.27s/step] Training: 35%|███▌ | 24662/70000 [8:43:21<15:40:28, 1.24s/step] Training: 35%|███▌ | 24663/70000 [8:43:22<16:31:07, 1.31s/step] Training: 35%|███▌ | 24664/70000 [8:43:24<16:32:39, 1.31s/step] Training: 35%|███▌ | 24665/70000 [8:43:25<16:36:15, 1.32s/step] Training: 35%|███▌ | 24666/70000 [8:43:26<16:14:08, 1.29s/step] Training: 35%|███▌ | 24667/70000 [8:43:27<15:57:17, 1.27s/step] Training: 35%|███▌ | 24668/70000 [8:43:28<15:40:34, 1.24s/step] Training: 35%|███▌ | 24669/70000 [8:43:30<16:22:53, 1.30s/step] Training: 35%|███▌ | 24670/70000 [8:43:31<15:58:49, 1.27s/step] Training: 35%|███▌ | 24671/70000 [8:43:32<16:18:04, 1.29s/step] Training: 35%|███▌ | 24672/70000 [8:43:34<16:21:14, 1.30s/step] Training: 35%|███▌ | 24673/70000 [8:43:35<16:27:20, 1.31s/step] Training: 35%|███▌ | 24674/70000 [8:43:36<16:04:02, 1.28s/step] Training: 35%|███▌ | 24675/70000 [8:43:38<16:16:47, 1.29s/step] Training: 35%|███▌ | 24676/70000 [8:43:39<15:53:07, 1.26s/step] Training: 35%|███▌ | 24677/70000 [8:43:40<15:54:26, 1.26s/step] Training: 35%|███▌ | 24678/70000 [8:43:41<15:39:15, 1.24s/step] Training: 35%|███▌ | 24679/70000 [8:43:43<16:04:20, 1.28s/step] Training: 35%|███▌ | 24680/70000 [8:43:44<15:50:21, 1.26s/step] Training: 35%|███▌ | 24681/70000 [8:43:45<16:08:36, 1.28s/step] Training: 35%|███▌ | 24682/70000 [8:43:47<16:19:06, 1.30s/step] Training: 35%|███▌ | 24683/70000 [8:43:48<16:25:30, 1.30s/step] Training: 35%|███▌ | 24684/70000 [8:43:49<16:00:30, 1.27s/step] Training: 35%|███▌ | 24685/70000 [8:43:50<15:41:38, 1.25s/step] Training: 35%|███▌ | 24686/70000 [8:43:52<15:57:05, 1.27s/step] Training: 35%|███▌ | 24687/70000 [8:43:53<15:39:47, 1.24s/step] Training: 35%|███▌ | 24688/70000 [8:43:54<16:00:59, 1.27s/step] Training: 35%|███▌ | 24689/70000 [8:43:56<16:32:15, 1.31s/step] Training: 35%|███▌ | 24690/70000 [8:43:57<16:35:22, 1.32s/step] Training: 35%|███▌ | 24691/70000 [8:43:58<16:16:10, 1.29s/step] Training: 35%|███▌ | 24692/70000 [8:43:59<15:52:25, 1.26s/step] Training: 35%|███▌ | 24693/70000 [8:44:01<16:09:32, 1.28s/step] Training: 35%|███▌ | 24694/70000 [8:44:02<15:50:04, 1.26s/step] Training: 35%|███▌ | 24695/70000 [8:44:03<15:35:47, 1.24s/step] Training: 35%|███▌ | 24696/70000 [8:44:04<16:22:18, 1.30s/step] Training: 35%|███▌ | 24697/70000 [8:44:06<16:35:42, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=47206 Training: 35%|███▌ | 24698/70000 [8:44:07<16:13:06, 1.29s/step] Training: 35%|███▌ | 24699/70000 [8:44:08<15:56:42, 1.27s/step] Training: 35%|███▌ | 24700/70000 [8:44:09<15:38:57, 1.24s/step]INFO 2026-03-13 04:54:02 ot_train.py:435 step:25K smpl:2M ep:5K epch:20.94 loss:0.055 grdn:6.520 lr:1.8e-05 updt_s:1.243 data_s:0.019 Training: 35%|███▌ | 24701/70000 [8:44:11<15:26:29, 1.23s/step] Training: 35%|███▌ | 24702/70000 [8:44:12<15:48:12, 1.26s/step] Training: 35%|███▌ | 24703/70000 [8:44:13<15:33:29, 1.24s/step] Training: 35%|███▌ | 24704/70000 [8:44:14<16:01:23, 1.27s/step] Training: 35%|███▌ | 24705/70000 [8:44:16<16:12:15, 1.29s/step] Training: 35%|███▌ | 24706/70000 [8:44:17<15:53:47, 1.26s/step] Training: 35%|███▌ | 24707/70000 [8:44:18<16:07:37, 1.28s/step] Training: 35%|███▌ | 24708/70000 [8:44:20<15:46:27, 1.25s/step] Training: 35%|███▌ | 24709/70000 [8:44:21<15:31:01, 1.23s/step] Training: 35%|███▌ | 24710/70000 [8:44:22<15:51:50, 1.26s/step] Training: 35%|███▌ | 24711/70000 [8:44:23<15:36:10, 1.24s/step] Training: 35%|███▌ | 24712/70000 [8:44:25<15:52:05, 1.26s/step] Training: 35%|███▌ | 24713/70000 [8:44:26<16:12:54, 1.29s/step] Training: 35%|███▌ | 24714/70000 [8:44:27<16:22:57, 1.30s/step] Training: 35%|███▌ | 24715/70000 [8:44:29<16:28:32, 1.31s/step] Training: 35%|███▌ | 24716/70000 [8:44:30<16:02:43, 1.28s/step] Training: 35%|███▌ | 24717/70000 [8:44:31<15:43:15, 1.25s/step] Training: 35%|███▌ | 24718/70000 [8:44:32<15:29:50, 1.23s/step] Training: 35%|███▌ | 24719/70000 [8:44:33<15:20:01, 1.22s/step] Training: 35%|███▌ | 24720/70000 [8:44:35<15:18:15, 1.22s/step] Training: 35%|███▌ | 24721/70000 [8:44:36<16:04:36, 1.28s/step] Training: 35%|███▌ | 24722/70000 [8:44:37<16:17:59, 1.30s/step] Training: 35%|███▌ | 24723/70000 [8:44:39<16:02:43, 1.28s/step] Training: 35%|███▌ | 24724/70000 [8:44:40<15:41:19, 1.25s/step] Training: 35%|███▌ | 24725/70000 [8:44:41<15:28:20, 1.23s/step] Training: 35%|███▌ | 24726/70000 [8:44:42<15:30:16, 1.23s/step] Training: 35%|███▌ | 24727/70000 [8:44:43<15:20:13, 1.22s/step] Training: 35%|███▌ | 24728/70000 [8:44:45<15:44:26, 1.25s/step] Training: 35%|███▌ | 24729/70000 [8:44:46<16:17:05, 1.29s/step] Training: 35%|███▌ | 24730/70000 [8:44:47<16:03:53, 1.28s/step] Training: 35%|███▌ | 24731/70000 [8:44:48<15:49:44, 1.26s/step] Training: 35%|███▌ | 24732/70000 [8:44:50<15:33:59, 1.24s/step] Training: 35%|███▌ | 24733/70000 [8:44:51<15:22:37, 1.22s/step] Training: 35%|███▌ | 24734/70000 [8:44:52<15:23:55, 1.22s/step] Training: 35%|███▌ | 24735/70000 [8:44:53<15:17:27, 1.22s/step] Training: 35%|███▌ | 24736/70000 [8:44:55<15:42:41, 1.25s/step] Training: 35%|███▌ | 24737/70000 [8:44:56<16:01:36, 1.27s/step] Training: 35%|███▌ | 24738/70000 [8:44:57<16:20:17, 1.30s/step] Training: 35%|███▌ | 24739/70000 [8:44:59<16:25:21, 1.31s/step] Training: 35%|███▌ | 24740/70000 [8:45:00<15:58:51, 1.27s/step] Training: 35%|███▌ | 24741/70000 [8:45:01<15:40:13, 1.25s/step] Training: 35%|███▌ | 24742/70000 [8:45:02<16:00:08, 1.27s/step] Training: 35%|███▌ | 24743/70000 [8:45:04<15:43:28, 1.25s/step] Training: 35%|███▌ | 24744/70000 [8:45:05<15:36:53, 1.24s/step] Training: 35%|███▌ | 24745/70000 [8:45:06<16:13:42, 1.29s/step] Training: 35%|███▌ | 24746/70000 [8:45:07<16:20:33, 1.30s/step] Training: 35%|███▌ | 24747/70000 [8:45:09<16:27:56, 1.31s/step] Training: 35%|███▌ | 24748/70000 [8:45:10<16:01:07, 1.27s/step] Training: 35%|███▌ | 24749/70000 [8:45:11<15:41:49, 1.25s/step] Training: 35%|███▌ | 24750/70000 [8:45:13<15:58:58, 1.27s/step] Training: 35%|███▌ | 24751/70000 [8:45:14<15:40:12, 1.25s/step] Training: 35%|███▌ | 24752/70000 [8:45:15<15:33:02, 1.24s/step] Training: 35%|███▌ | 24753/70000 [8:45:16<15:54:05, 1.27s/step] Training: 35%|███▌ | 24754/70000 [8:45:18<16:29:13, 1.31s/step] Training: 35%|███▌ | 24755/70000 [8:45:19<16:11:53, 1.29s/step] Training: 35%|███▌ | 24756/70000 [8:45:20<15:49:06, 1.26s/step] Training: 35%|███▌ | 24757/70000 [8:45:21<15:35:49, 1.24s/step] Training: 35%|███▌ | 24758/70000 [8:45:23<15:31:31, 1.24s/step] Training: 35%|███▌ | 24759/70000 [8:45:24<15:20:55, 1.22s/step] Training: 35%|███▌ | 24760/70000 [8:45:25<15:44:18, 1.25s/step] Training: 35%|███▌ | 24761/70000 [8:45:26<16:12:45, 1.29s/step] Training: 35%|███▌ | 24762/70000 [8:45:28<16:25:38, 1.31s/step] Training: 35%|███▌ | 24763/70000 [8:45:29<16:02:05, 1.28s/step] Training: 35%|███▌ | 24764/70000 [8:45:30<15:42:32, 1.25s/step] Training: 35%|███▌ | 24765/70000 [8:45:31<15:28:52, 1.23s/step] Training: 35%|███▌ | 24766/70000 [8:45:33<15:24:44, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=23665 Training: 35%|███▌ | 24767/70000 [8:45:34<15:17:32, 1.22s/step] Training: 35%|███▌ | 24768/70000 [8:45:35<15:40:27, 1.25s/step] Training: 35%|███▌ | 24769/70000 [8:45:36<16:03:04, 1.28s/step] Training: 35%|███▌ | 24770/70000 [8:45:38<15:47:54, 1.26s/step] Training: 35%|███▌ | 24771/70000 [8:45:39<16:02:47, 1.28s/step] Training: 35%|███▌ | 24772/70000 [8:45:40<15:42:08, 1.25s/step] Training: 35%|███▌ | 24773/70000 [8:45:41<15:27:52, 1.23s/step] Training: 35%|███▌ | 24774/70000 [8:45:43<15:53:07, 1.26s/step] Training: 35%|███▌ | 24775/70000 [8:45:44<15:36:45, 1.24s/step] Training: 35%|███▌ | 24776/70000 [8:45:45<15:33:59, 1.24s/step] Training: 35%|███▌ | 24777/70000 [8:45:46<16:07:06, 1.28s/step] Training: 35%|███▌ | 24778/70000 [8:45:48<16:31:24, 1.32s/step] Training: 35%|███▌ | 24779/70000 [8:45:49<16:35:23, 1.32s/step] Training: 35%|███▌ | 24780/70000 [8:45:52<20:25:36, 1.63s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 35%|███▌ | 24781/70000 [8:45:56<30:36:50, 2.44s/step] Training: 35%|███▌ | 24782/70000 [8:45:57<26:39:58, 2.12s/step] Training: 35%|███▌ | 24783/70000 [8:45:58<23:14:11, 1.85s/step] Training: 35%|███▌ | 24784/70000 [8:46:00<20:59:13, 1.67s/step] Training: 35%|███▌ | 24785/70000 [8:46:01<19:57:54, 1.59s/step] Training: 35%|███▌ | 24786/70000 [8:46:03<19:12:05, 1.53s/step] Training: 35%|███▌ | 24787/70000 [8:46:04<18:16:27, 1.46s/step] Training: 35%|███▌ | 24788/70000 [8:46:05<17:17:27, 1.38s/step] Training: 35%|███▌ | 24789/70000 [8:46:06<16:35:20, 1.32s/step] Training: 35%|███▌ | 24790/70000 [8:46:07<16:20:36, 1.30s/step] Training: 35%|███▌ | 24791/70000 [8:46:09<15:53:33, 1.27s/step] Training: 35%|███▌ | 24792/70000 [8:46:10<16:11:37, 1.29s/step] Training: 35%|███▌ | 24793/70000 [8:46:11<16:34:42, 1.32s/step] Training: 35%|███▌ | 24794/70000 [8:46:13<16:14:17, 1.29s/step] Training: 35%|███▌ | 24795/70000 [8:46:14<16:26:43, 1.31s/step] Training: 35%|███▌ | 24796/70000 [8:46:15<15:58:19, 1.27s/step] Training: 35%|███▌ | 24797/70000 [8:46:16<15:40:59, 1.25s/step] Training: 35%|███▌ | 24798/70000 [8:46:18<15:32:57, 1.24s/step] Training: 35%|███▌ | 24799/70000 [8:46:19<15:23:53, 1.23s/step] Training: 35%|███▌ | 24800/70000 [8:46:20<15:48:08, 1.26s/step]INFO 2026-03-13 04:56:12 ot_train.py:435 step:25K smpl:2M ep:5K epch:21.02 loss:0.049 grdn:6.506 lr:1.8e-05 updt_s:1.243 data_s:0.061 Training: 35%|███▌ | 24801/70000 [8:46:21<16:07:07, 1.28s/step] Training: 35%|███▌ | 24802/70000 [8:46:23<15:53:24, 1.27s/step] Training: 35%|███▌ | 24803/70000 [8:46:24<15:51:54, 1.26s/step] Training: 35%|███▌ | 24804/70000 [8:46:25<16:02:30, 1.28s/step] Training: 35%|███▌ | 24805/70000 [8:46:26<15:43:23, 1.25s/step] Training: 35%|███▌ | 24806/70000 [8:46:28<16:02:42, 1.28s/step] Training: 35%|███▌ | 24807/70000 [8:46:29<15:42:41, 1.25s/step] Training: 35%|███▌ | 24808/70000 [8:46:30<15:39:53, 1.25s/step] Training: 35%|███▌ | 24809/70000 [8:46:32<16:11:44, 1.29s/step] Training: 35%|███▌ | 24810/70000 [8:46:33<16:25:44, 1.31s/step] Training: 35%|███▌ | 24811/70000 [8:46:34<16:34:22, 1.32s/step] Training: 35%|███▌ | 24812/70000 [8:46:36<16:39:33, 1.33s/step] Training: 35%|███▌ | 24813/70000 [8:46:37<16:06:20, 1.28s/step] Training: 35%|███▌ | 24814/70000 [8:46:38<16:18:28, 1.30s/step] Training: 35%|███▌ | 24815/70000 [8:46:39<15:54:56, 1.27s/step] Training: 35%|███▌ | 24816/70000 [8:46:41<15:40:50, 1.25s/step] Training: 35%|███▌ | 24817/70000 [8:46:42<15:58:40, 1.27s/step] Training: 35%|███▌ | 24818/70000 [8:46:43<16:14:21, 1.29s/step] Training: 35%|███▌ | 24819/70000 [8:46:45<16:38:14, 1.33s/step] Training: 35%|███▌ | 24820/70000 [8:46:46<16:04:58, 1.28s/step] Training: 35%|███▌ | 24821/70000 [8:46:47<15:43:43, 1.25s/step] Training: 35%|███▌ | 24822/70000 [8:46:48<15:33:44, 1.24s/step] Training: 35%|███▌ | 24823/70000 [8:46:49<15:21:54, 1.22s/step] Training: 35%|███▌ | 24824/70000 [8:46:51<15:45:03, 1.26s/step] Training: 35%|███▌ | 24825/70000 [8:46:52<16:11:56, 1.29s/step] Training: 35%|███▌ | 24826/70000 [8:46:53<15:57:56, 1.27s/step] Training: 35%|███▌ | 24827/70000 [8:46:55<16:11:45, 1.29s/step] Training: 35%|███▌ | 24828/70000 [8:46:56<16:25:20, 1.31s/step] Training: 35%|███▌ | 24829/70000 [8:46:57<15:57:38, 1.27s/step] Training: 35%|███▌ | 24830/70000 [8:46:58<15:49:31, 1.26s/step] Training: 35%|███▌ | 24831/70000 [8:47:00<15:34:23, 1.24s/step] Training: 35%|███▌ | 24832/70000 [8:47:01<15:24:09, 1.23s/step] Training: 35%|███▌ | 24833/70000 [8:47:02<16:12:07, 1.29s/step] Training: 35%|███▌ | 24834/70000 [8:47:03<15:54:07, 1.27s/step] Training: 35%|███▌ | 24835/70000 [8:47:05<15:46:54, 1.26s/step] Training: 35%|███▌ | 24836/70000 [8:47:06<16:10:19, 1.29s/step] Training: 35%|███▌ | 24837/70000 [8:47:07<15:45:44, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=59011 Training: 35%|███▌ | 24838/70000 [8:47:08<15:32:11, 1.24s/step] Training: 35%|███▌ | 24839/70000 [8:47:10<15:52:02, 1.26s/step] Training: 35%|███▌ | 24840/70000 [8:47:11<15:35:49, 1.24s/step] Training: 35%|███▌ | 24841/70000 [8:47:12<16:22:24, 1.31s/step] Training: 35%|███▌ | 24842/70000 [8:47:14<16:29:30, 1.31s/step] Training: 35%|███▌ | 24843/70000 [8:47:15<16:32:38, 1.32s/step] Training: 35%|███▌ | 24844/70000 [8:47:16<16:03:27, 1.28s/step] Training: 35%|███▌ | 24845/70000 [8:47:17<15:42:41, 1.25s/step] Training: 35%|███▌ | 24846/70000 [8:47:19<16:00:12, 1.28s/step] Training: 35%|███▌ | 24847/70000 [8:47:20<15:41:31, 1.25s/step] Training: 35%|███▌ | 24848/70000 [8:47:21<15:27:53, 1.23s/step] Training: 35%|███▌ | 24849/70000 [8:47:22<15:51:07, 1.26s/step] Training: 36%|███▌ | 24850/70000 [8:47:24<16:05:54, 1.28s/step] Training: 36%|███▌ | 24851/70000 [8:47:25<16:17:39, 1.30s/step] Training: 36%|███▌ | 24852/70000 [8:47:26<16:01:12, 1.28s/step] Training: 36%|███▌ | 24853/70000 [8:47:28<15:41:30, 1.25s/step] Training: 36%|███▌ | 24854/70000 [8:47:29<15:57:39, 1.27s/step] Training: 36%|███▌ | 24855/70000 [8:47:30<15:38:49, 1.25s/step] Training: 36%|███▌ | 24856/70000 [8:47:31<15:25:39, 1.23s/step] Training: 36%|███▌ | 24857/70000 [8:47:33<16:01:34, 1.28s/step] Training: 36%|███▌ | 24858/70000 [8:47:34<15:51:39, 1.26s/step] Training: 36%|███▌ | 24859/70000 [8:47:35<16:05:44, 1.28s/step] Training: 36%|███▌ | 24860/70000 [8:47:36<16:01:22, 1.28s/step] Training: 36%|███▌ | 24861/70000 [8:47:38<15:39:37, 1.25s/step] Training: 36%|███▌ | 24862/70000 [8:47:39<15:58:51, 1.27s/step] Training: 36%|███▌ | 24863/70000 [8:47:40<15:39:25, 1.25s/step] Training: 36%|███▌ | 24864/70000 [8:47:41<15:26:05, 1.23s/step] Training: 36%|███▌ | 24865/70000 [8:47:43<15:58:10, 1.27s/step] Training: 36%|███▌ | 24866/70000 [8:47:44<15:46:51, 1.26s/step] Training: 36%|███▌ | 24867/70000 [8:47:45<15:39:59, 1.25s/step] Training: 36%|███▌ | 24868/70000 [8:47:46<15:26:57, 1.23s/step] Training: 36%|███▌ | 24869/70000 [8:47:48<15:52:30, 1.27s/step] Training: 36%|███▌ | 24870/70000 [8:47:49<15:37:01, 1.25s/step] Training: 36%|███▌ | 24871/70000 [8:47:50<15:25:58, 1.23s/step] Training: 36%|███▌ | 24872/70000 [8:47:51<15:16:36, 1.22s/step] Training: 36%|███▌ | 24873/70000 [8:47:53<15:52:17, 1.27s/step] Training: 36%|███▌ | 24874/70000 [8:47:54<16:08:34, 1.29s/step] Training: 36%|███▌ | 24875/70000 [8:47:55<16:18:29, 1.30s/step] Training: 36%|███▌ | 24876/70000 [8:47:57<15:53:24, 1.27s/step] Training: 36%|███▌ | 24877/70000 [8:47:58<15:52:30, 1.27s/step] Training: 36%|███▌ | 24878/70000 [8:47:59<16:07:38, 1.29s/step] Training: 36%|███▌ | 24879/70000 [8:48:00<15:45:50, 1.26s/step] Training: 36%|███▌ | 24880/70000 [8:48:02<15:30:52, 1.24s/step] Training: 36%|███▌ | 24881/70000 [8:48:03<15:52:02, 1.27s/step] Training: 36%|███▌ | 24882/70000 [8:48:04<16:08:16, 1.29s/step] Training: 36%|███▌ | 24883/70000 [8:48:06<16:19:26, 1.30s/step] Training: 36%|███▌ | 24884/70000 [8:48:07<15:53:38, 1.27s/step] Training: 36%|███▌ | 24885/70000 [8:48:08<15:35:49, 1.24s/step] Training: 36%|███▌ | 24886/70000 [8:48:09<16:22:35, 1.31s/step] Training: 36%|███▌ | 24887/70000 [8:48:11<15:56:50, 1.27s/step] Training: 36%|███▌ | 24888/70000 [8:48:12<15:38:18, 1.25s/step] Training: 36%|███▌ | 24889/70000 [8:48:13<16:08:09, 1.29s/step] Training: 36%|███▌ | 24890/70000 [8:48:14<15:58:00, 1.27s/step] Training: 36%|███▌ | 24891/70000 [8:48:16<15:46:30, 1.26s/step] Training: 36%|███▌ | 24892/70000 [8:48:17<15:30:16, 1.24s/step] Training: 36%|███▌ | 24893/70000 [8:48:18<15:58:10, 1.27s/step] Training: 36%|███▌ | 24894/70000 [8:48:19<16:09:07, 1.29s/step] Training: 36%|███▌ | 24895/70000 [8:48:21<15:47:23, 1.26s/step] Training: 36%|███▌ | 24896/70000 [8:48:22<15:31:20, 1.24s/step] Training: 36%|███▌ | 24897/70000 [8:48:23<16:00:23, 1.28s/step] Training: 36%|███▌ | 24898/70000 [8:48:25<16:09:51, 1.29s/step] Training: 36%|███▌ | 24899/70000 [8:48:26<15:54:20, 1.27s/step] Training: 36%|███▌ | 24900/70000 [8:48:27<15:37:38, 1.25s/step]INFO 2026-03-13 04:58:19 ot_train.py:435 step:25K smpl:2M ep:5K epch:21.11 loss:0.043 grdn:6.729 lr:1.8e-05 updt_s:1.247 data_s:0.019 Training: 36%|███▌ | 24901/70000 [8:48:28<15:22:49, 1.23s/step] Training: 36%|███▌ | 24902/70000 [8:48:29<15:50:43, 1.26s/step] Training: 36%|███▌ | 24903/70000 [8:48:31<15:32:08, 1.24s/step] Training: 36%|███▌ | 24904/70000 [8:48:32<15:20:45, 1.23s/step] Training: 36%|███▌ | 24905/70000 [8:48:33<15:54:16, 1.27s/step] Training: 36%|███▌ | 24906/70000 [8:48:35<16:31:50, 1.32s/step] Training: 36%|███▌ | 24907/70000 [8:48:36<16:33:59, 1.32s/step] Training: 36%|███▌ | 24908/70000 [8:48:37<16:03:53, 1.28s/step] Training: 36%|███▌ | 24909/70000 [8:48:38<15:42:52, 1.25s/step] Training: 36%|███▌ | 24910/70000 [8:48:40<16:28:29, 1.32s/step] Training: 36%|███▌ | 24911/70000 [8:48:41<16:00:36, 1.28s/step] Training: 36%|███▌ | 24912/70000 [8:48:42<15:40:27, 1.25s/step] Training: 36%|███▌ | 24913/70000 [8:48:44<16:00:31, 1.28s/step] Training: 36%|███▌ | 24914/70000 [8:48:45<16:11:32, 1.29s/step] Training: 36%|███▌ | 24915/70000 [8:48:46<16:18:50, 1.30s/step] Training: 36%|███▌ | 24916/70000 [8:48:47<15:53:00, 1.27s/step] Training: 36%|███▌ | 24917/70000 [8:48:49<15:34:40, 1.24s/step] Training: 36%|███▌ | 24918/70000 [8:48:50<15:52:58, 1.27s/step] Training: 36%|███▌ | 24919/70000 [8:48:51<15:36:29, 1.25s/step] Training: 36%|███▌ | 24920/70000 [8:48:52<15:24:20, 1.23s/step] Training: 36%|███▌ | 24921/70000 [8:48:54<15:55:34, 1.27s/step] Training: 36%|███▌ | 24922/70000 [8:48:55<16:03:17, 1.28s/step] Training: 36%|███▌ | 24923/70000 [8:48:56<16:13:02, 1.30s/step] Training: 36%|███▌ | 24924/70000 [8:48:57<15:48:57, 1.26s/step] Training: 36%|███▌ | 24925/70000 [8:48:59<15:32:09, 1.24s/step] Training: 36%|███▌ | 24926/70000 [8:49:00<16:10:13, 1.29s/step] Training: 36%|███▌ | 24927/70000 [8:49:01<15:47:52, 1.26s/step] Training: 36%|███▌ | 24928/70000 [8:49:02<15:33:21, 1.24s/step] Training: 36%|███▌ | 24929/70000 [8:49:04<15:57:56, 1.28s/step] Training: 36%|███▌ | 24930/70000 [8:49:05<15:43:32, 1.26s/step] Training: 36%|███▌ | 24931/70000 [8:49:06<15:55:39, 1.27s/step] Training: 36%|███▌ | 24932/70000 [8:49:08<15:36:24, 1.25s/step] Training: 36%|███▌ | 24933/70000 [8:49:09<15:24:20, 1.23s/step] Training: 36%|███▌ | 24934/70000 [8:49:10<15:21:19, 1.23s/step] Training: 36%|███▌ | 24935/70000 [8:49:11<15:48:05, 1.26s/step] Training: 36%|███▌ | 24936/70000 [8:49:12<15:29:56, 1.24s/step] Training: 36%|███▌ | 24937/70000 [8:49:14<15:58:38, 1.28s/step] Training: 36%|███▌ | 24938/70000 [8:49:15<16:10:55, 1.29s/step] Training: 36%|███▌ | 24939/70000 [8:49:17<16:37:03, 1.33s/step] Training: 36%|███▌ | 24940/70000 [8:49:18<16:05:45, 1.29s/step] Training: 36%|███▌ | 24941/70000 [8:49:19<15:44:37, 1.26s/step] Training: 36%|███▌ | 24942/70000 [8:49:20<16:09:47, 1.29s/step] Training: 36%|███▌ | 24943/70000 [8:49:21<15:43:59, 1.26s/step] Training: 36%|███▌ | 24944/70000 [8:49:23<15:29:18, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=18853 Training: 36%|███▌ | 24945/70000 [8:49:24<15:48:58, 1.26s/step] Training: 36%|███▌ | 24946/70000 [8:49:25<16:04:23, 1.28s/step] Training: 36%|███▌ | 24947/70000 [8:49:27<16:14:57, 1.30s/step] Training: 36%|███▌ | 24948/70000 [8:49:28<15:50:24, 1.27s/step] Training: 36%|███▌ | 24949/70000 [8:49:29<15:33:33, 1.24s/step] Training: 36%|███▌ | 24950/70000 [8:49:30<15:52:52, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=59463 Training: 36%|███▌ | 24951/70000 [8:49:32<16:09:28, 1.29s/step] Training: 36%|███▌ | 24952/70000 [8:49:33<15:44:15, 1.26s/step] Training: 36%|███▌ | 24953/70000 [8:49:34<16:12:02, 1.29s/step] Training: 36%|███▌ | 24954/70000 [8:49:36<15:57:36, 1.28s/step] Training: 36%|███▌ | 24955/70000 [8:49:37<16:33:44, 1.32s/step] Training: 36%|███▌ | 24956/70000 [8:49:38<16:04:12, 1.28s/step] Training: 36%|███▌ | 24957/70000 [8:49:39<15:41:51, 1.25s/step] Training: 36%|███▌ | 24958/70000 [8:49:41<15:56:58, 1.27s/step] Training: 36%|███▌ | 24959/70000 [8:49:42<16:12:29, 1.30s/step] Training: 36%|███▌ | 24960/70000 [8:49:43<15:46:48, 1.26s/step] Training: 36%|███▌ | 24961/70000 [8:49:44<15:46:25, 1.26s/step] Training: 36%|███▌ | 24962/70000 [8:49:46<15:38:27, 1.25s/step] Training: 36%|███▌ | 24963/70000 [8:49:47<15:49:57, 1.27s/step] Training: 36%|███▌ | 24964/70000 [8:49:48<15:33:51, 1.24s/step] Training: 36%|███▌ | 24965/70000 [8:49:49<15:22:38, 1.23s/step] Training: 36%|███▌ | 24966/70000 [8:49:51<15:20:34, 1.23s/step] Training: 36%|███▌ | 24967/70000 [8:49:52<15:13:17, 1.22s/step] Training: 36%|███▌ | 24968/70000 [8:49:53<15:06:52, 1.21s/step] Training: 36%|███▌ | 24969/70000 [8:49:54<15:36:32, 1.25s/step] Training: 36%|███▌ | 24970/70000 [8:49:56<15:57:11, 1.28s/step] Training: 36%|███▌ | 24971/70000 [8:49:57<16:08:01, 1.29s/step] Training: 36%|███▌ | 24972/70000 [8:49:58<15:45:38, 1.26s/step] Training: 36%|███▌ | 24973/70000 [8:49:59<15:30:00, 1.24s/step] Training: 36%|███▌ | 24974/70000 [8:50:01<15:51:35, 1.27s/step] Training: 36%|███▌ | 24975/70000 [8:50:02<16:10:38, 1.29s/step] Training: 36%|███▌ | 24976/70000 [8:50:03<15:46:50, 1.26s/step] Training: 36%|███▌ | 24977/70000 [8:50:05<16:02:37, 1.28s/step] Training: 36%|███▌ | 24978/70000 [8:50:06<16:12:31, 1.30s/step] Training: 36%|███▌ | 24979/70000 [8:50:07<16:40:25, 1.33s/step] Training: 36%|███▌ | 24980/70000 [8:50:08<16:08:06, 1.29s/step] Training: 36%|███▌ | 24981/70000 [8:50:10<15:45:35, 1.26s/step] Training: 36%|███▌ | 24982/70000 [8:50:11<16:04:18, 1.29s/step] Training: 36%|███▌ | 24983/70000 [8:50:12<16:02:46, 1.28s/step] Training: 36%|███▌ | 24984/70000 [8:50:13<15:39:44, 1.25s/step] Training: 36%|███▌ | 24985/70000 [8:50:15<16:02:08, 1.28s/step] Training: 36%|███▌ | 24986/70000 [8:50:16<15:50:36, 1.27s/step] Training: 36%|███▌ | 24987/70000 [8:50:17<16:05:10, 1.29s/step] Training: 36%|███▌ | 24988/70000 [8:50:19<15:43:29, 1.26s/step] Training: 36%|███▌ | 24989/70000 [8:50:20<15:27:02, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=59011 Training: 36%|███▌ | 24990/70000 [8:50:21<15:47:19, 1.26s/step] Training: 36%|███▌ | 24991/70000 [8:50:22<15:30:57, 1.24s/step] Training: 36%|███▌ | 24992/70000 [8:50:24<15:55:04, 1.27s/step] Training: 36%|███▌ | 24993/70000 [8:50:25<15:55:38, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=70493 Training: 36%|███▌ | 24994/70000 [8:50:26<15:39:28, 1.25s/step] Training: 36%|███▌ | 24995/70000 [8:50:27<15:33:15, 1.24s/step] Training: 36%|███▌ | 24996/70000 [8:50:29<15:20:26, 1.23s/step] Training: 36%|███▌ | 24997/70000 [8:50:30<15:12:02, 1.22s/step] Training: 36%|███▌ | 24998/70000 [8:50:31<15:11:21, 1.22s/step] Training: 36%|███▌ | 24999/70000 [8:50:32<15:06:30, 1.21s/step] Training: 36%|███▌ | 25000/70000 [8:50:33<15:22:03, 1.23s/step]INFO 2026-03-13 05:00:26 ot_train.py:435 step:25K smpl:2M ep:5K epch:21.19 loss:0.043 grdn:6.065 lr:1.8e-05 updt_s:1.243 data_s:0.019 Training: 36%|███▌ | 25001/70000 [8:50:35<15:26:41, 1.24s/step] Training: 36%|███▌ | 25002/70000 [8:50:36<16:06:38, 1.29s/step] Training: 36%|███▌ | 25003/70000 [8:50:37<16:20:30, 1.31s/step] Training: 36%|███▌ | 25004/70000 [8:50:39<15:54:02, 1.27s/step] Training: 36%|███▌ | 25005/70000 [8:50:40<15:35:52, 1.25s/step] Training: 36%|███▌ | 25006/70000 [8:50:41<15:52:55, 1.27s/step] Training: 36%|███▌ | 25007/70000 [8:50:42<15:35:09, 1.25s/step] Training: 36%|███▌ | 25008/70000 [8:50:43<15:21:40, 1.23s/step] Training: 36%|███▌ | 25009/70000 [8:50:45<16:10:42, 1.29s/step] Training: 36%|███▌ | 25010/70000 [8:50:46<16:16:34, 1.30s/step] Training: 36%|███▌ | 25011/70000 [8:50:48<16:25:52, 1.31s/step] Training: 36%|███▌ | 25012/70000 [8:50:49<15:57:21, 1.28s/step] Training: 36%|███▌ | 25013/70000 [8:50:50<15:40:46, 1.25s/step] Training: 36%|███▌ | 25014/70000 [8:50:51<15:55:30, 1.27s/step] Training: 36%|███▌ | 25015/70000 [8:50:53<15:37:52, 1.25s/step] Training: 36%|███▌ | 25016/70000 [8:50:54<16:01:28, 1.28s/step] Training: 36%|███▌ | 25017/70000 [8:50:55<16:24:07, 1.31s/step] Training: 36%|███▌ | 25018/70000 [8:50:56<16:06:31, 1.29s/step] Training: 36%|███▌ | 25019/70000 [8:50:58<16:15:43, 1.30s/step] Training: 36%|███▌ | 25020/70000 [8:50:59<15:50:33, 1.27s/step] Training: 36%|███▌ | 25021/70000 [8:51:00<15:34:38, 1.25s/step] Training: 36%|███▌ | 25022/70000 [8:51:02<15:51:38, 1.27s/step] Training: 36%|███▌ | 25023/70000 [8:51:03<15:34:43, 1.25s/step] Training: 36%|███▌ | 25024/70000 [8:51:04<15:21:42, 1.23s/step] Training: 36%|███▌ | 25025/70000 [8:51:05<16:02:24, 1.28s/step] Training: 36%|███▌ | 25026/70000 [8:51:07<15:45:16, 1.26s/step] Training: 36%|███▌ | 25027/70000 [8:51:08<15:34:20, 1.25s/step] Training: 36%|███▌ | 25028/70000 [8:51:09<15:22:54, 1.23s/step] Training: 36%|███▌ | 25029/70000 [8:51:10<15:13:08, 1.22s/step] Training: 36%|███▌ | 25030/70000 [8:51:11<15:12:03, 1.22s/step] Training: 36%|███▌ | 25031/70000 [8:51:13<15:07:24, 1.21s/step] Training: 36%|███▌ | 25032/70000 [8:51:14<15:02:43, 1.20s/step] Training: 36%|███▌ | 25033/70000 [8:51:15<15:55:06, 1.27s/step] Training: 36%|███▌ | 25034/70000 [8:51:16<16:08:16, 1.29s/step] Training: 36%|███▌ | 25035/70000 [8:51:18<16:18:35, 1.31s/step] Training: 36%|███▌ | 25036/70000 [8:51:19<15:52:09, 1.27s/step] Training: 36%|███▌ | 25037/70000 [8:51:20<15:34:03, 1.25s/step] Training: 36%|███▌ | 25038/70000 [8:51:22<15:52:58, 1.27s/step] Training: 36%|███▌ | 25039/70000 [8:51:23<15:35:59, 1.25s/step] Training: 36%|███▌ | 25040/70000 [8:51:24<15:23:18, 1.23s/step] Training: 36%|███▌ | 25041/70000 [8:51:25<15:44:56, 1.26s/step] Training: 36%|███▌ | 25042/70000 [8:51:27<16:01:48, 1.28s/step] Training: 36%|███▌ | 25043/70000 [8:51:28<16:13:43, 1.30s/step] Training: 36%|███▌ | 25044/70000 [8:51:29<15:49:29, 1.27s/step] Training: 36%|███▌ | 25045/70000 [8:51:30<15:34:17, 1.25s/step] Training: 36%|███▌ | 25046/70000 [8:51:32<15:51:32, 1.27s/step] Training: 36%|███▌ | 25047/70000 [8:51:33<15:33:07, 1.25s/step] Training: 36%|███▌ | 25048/70000 [8:51:34<15:20:22, 1.23s/step] Training: 36%|███▌ | 25049/70000 [8:51:35<15:55:50, 1.28s/step] Training: 36%|███▌ | 25050/70000 [8:51:37<15:46:15, 1.26s/step] Training: 36%|███▌ | 25051/70000 [8:51:38<16:02:49, 1.29s/step] Training: 36%|███▌ | 25052/70000 [8:51:39<15:40:42, 1.26s/step] Training: 36%|███▌ | 25053/70000 [8:51:40<15:25:02, 1.23s/step] Training: 36%|███▌ | 25054/70000 [8:51:42<15:46:04, 1.26s/step] Training: 36%|███▌ | 25055/70000 [8:51:43<15:29:35, 1.24s/step] Training: 36%|███▌ | 25056/70000 [8:51:44<15:17:22, 1.22s/step] Training: 36%|███▌ | 25057/70000 [8:51:45<15:46:46, 1.26s/step] Training: 36%|███▌ | 25058/70000 [8:51:47<15:35:07, 1.25s/step] Training: 36%|███▌ | 25059/70000 [8:51:48<15:29:49, 1.24s/step] Training: 36%|███▌ | 25060/70000 [8:51:49<15:18:18, 1.23s/step] Training: 36%|███▌ | 25061/70000 [8:51:50<15:11:12, 1.22s/step] Training: 36%|███▌ | 25062/70000 [8:51:51<15:08:59, 1.21s/step] Training: 36%|███▌ | 25063/70000 [8:51:53<15:03:37, 1.21s/step] Training: 36%|███▌ | 25064/70000 [8:51:54<15:00:11, 1.20s/step] Training: 36%|███▌ | 25065/70000 [8:51:55<15:37:32, 1.25s/step] Training: 36%|███▌ | 25066/70000 [8:51:57<16:21:28, 1.31s/step] Training: 36%|███▌ | 25067/70000 [8:51:58<16:27:02, 1.32s/step] Training: 36%|███▌ | 25068/70000 [8:51:59<15:57:58, 1.28s/step] Training: 36%|███▌ | 25069/70000 [8:52:00<15:38:27, 1.25s/step] Training: 36%|███▌ | 25070/70000 [8:52:02<15:56:21, 1.28s/step] Training: 36%|███▌ | 25071/70000 [8:52:03<15:36:45, 1.25s/step] Training: 36%|███▌ | 25072/70000 [8:52:04<15:23:00, 1.23s/step] Training: 36%|███▌ | 25073/70000 [8:52:05<15:44:43, 1.26s/step] Training: 36%|███▌ | 25074/70000 [8:52:07<16:24:35, 1.31s/step] Training: 36%|███▌ | 25075/70000 [8:52:08<16:28:54, 1.32s/step] Training: 36%|███▌ | 25076/70000 [8:52:09<15:59:36, 1.28s/step] Training: 36%|███▌ | 25077/70000 [8:52:11<15:41:06, 1.26s/step] Training: 36%|███▌ | 25078/70000 [8:52:12<16:03:30, 1.29s/step] Training: 36%|███▌ | 25079/70000 [8:52:13<15:43:50, 1.26s/step] Training: 36%|███▌ | 25080/70000 [8:52:14<15:27:53, 1.24s/step] Training: 36%|███▌ | 25081/70000 [8:52:16<15:45:49, 1.26s/step] Training: 36%|███▌ | 25082/70000 [8:52:17<16:54:02, 1.35s/step] Training: 36%|███▌ | 25083/70000 [8:52:19<16:46:07, 1.34s/step] Training: 36%|███▌ | 25084/70000 [8:52:20<16:10:38, 1.30s/step] Training: 36%|███▌ | 25085/70000 [8:52:21<15:47:12, 1.27s/step] Training: 36%|███▌ | 25086/70000 [8:52:22<16:04:33, 1.29s/step] Training: 36%|███▌ | 25087/70000 [8:52:23<15:43:03, 1.26s/step] Training: 36%|███▌ | 25088/70000 [8:52:25<15:25:56, 1.24s/step] Training: 36%|███▌ | 25089/70000 [8:52:26<15:54:58, 1.28s/step] Training: 36%|███▌ | 25090/70000 [8:52:27<16:12:54, 1.30s/step] Training: 36%|███▌ | 25091/70000 [8:52:29<15:51:09, 1.27s/step] Training: 36%|███▌ | 25092/70000 [8:52:30<15:32:54, 1.25s/step] Training: 36%|███▌ | 25093/70000 [8:52:31<15:20:03, 1.23s/step] Training: 36%|███▌ | 25094/70000 [8:52:32<15:16:23, 1.22s/step] Training: 36%|███▌ | 25095/70000 [8:52:33<15:08:53, 1.21s/step] Training: 36%|███▌ | 25096/70000 [8:52:35<15:02:48, 1.21s/step] Training: 36%|███▌ | 25097/70000 [8:52:36<15:07:46, 1.21s/step] Training: 36%|███▌ | 25098/70000 [8:52:37<15:58:09, 1.28s/step] Training: 36%|███▌ | 25099/70000 [8:52:39<16:33:31, 1.33s/step] Training: 36%|███▌ | 25100/70000 [8:52:40<16:02:42, 1.29s/step]INFO 2026-03-13 05:02:32 ot_train.py:435 step:25K smpl:2M ep:5K epch:21.27 loss:0.046 grdn:5.589 lr:1.8e-05 updt_s:1.243 data_s:0.019 Training: 36%|███▌ | 25101/70000 [8:52:41<15:40:10, 1.26s/step] Training: 36%|███▌ | 25102/70000 [8:52:42<15:58:34, 1.28s/step] Training: 36%|███▌ | 25103/70000 [8:52:44<15:38:56, 1.25s/step] Training: 36%|███▌ | 25104/70000 [8:52:45<15:25:11, 1.24s/step] Training: 36%|███▌ | 25105/70000 [8:52:46<15:16:00, 1.22s/step] Training: 36%|███▌ | 25106/70000 [8:52:47<16:06:34, 1.29s/step] Training: 36%|███▌ | 25107/70000 [8:52:49<16:40:46, 1.34s/step] Training: 36%|███▌ | 25108/70000 [8:52:50<16:07:28, 1.29s/step] Training: 36%|███▌ | 25109/70000 [8:52:51<15:44:36, 1.26s/step] Training: 36%|███▌ | 25110/70000 [8:52:53<15:58:01, 1.28s/step] Training: 36%|███▌ | 25111/70000 [8:52:54<15:38:04, 1.25s/step] Training: 36%|███▌ | 25112/70000 [8:52:55<15:23:13, 1.23s/step] Training: 36%|███▌ | 25113/70000 [8:52:56<15:16:58, 1.23s/step] Training: 36%|███▌ | 25114/70000 [8:52:57<15:41:10, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=59463 Training: 36%|███▌ | 25115/70000 [8:52:59<16:22:43, 1.31s/step] Training: 36%|███▌ | 25116/70000 [8:53:00<15:54:38, 1.28s/step] Training: 36%|███▌ | 25117/70000 [8:53:01<15:35:01, 1.25s/step] Training: 36%|███▌ | 25118/70000 [8:53:02<15:32:05, 1.25s/step] Training: 36%|███▌ | 25119/70000 [8:53:04<15:19:01, 1.23s/step] Training: 36%|███▌ | 25120/70000 [8:53:05<15:11:37, 1.22s/step] Training: 36%|███▌ | 25121/70000 [8:53:06<15:37:27, 1.25s/step] Training: 36%|███▌ | 25122/70000 [8:53:08<15:55:49, 1.28s/step] Training: 36%|███▌ | 25123/70000 [8:53:09<16:20:41, 1.31s/step] Training: 36%|███▌ | 25124/70000 [8:53:10<15:52:12, 1.27s/step] Training: 36%|███▌ | 25125/70000 [8:53:11<15:34:05, 1.25s/step] Training: 36%|███▌ | 25126/70000 [8:53:13<15:25:49, 1.24s/step] Training: 36%|███▌ | 25127/70000 [8:53:14<15:16:56, 1.23s/step] Training: 36%|███▌ | 25128/70000 [8:53:15<15:08:24, 1.21s/step] Training: 36%|███▌ | 25129/70000 [8:53:16<15:32:38, 1.25s/step] Training: 36%|███▌ | 25130/70000 [8:53:18<15:59:10, 1.28s/step] Training: 36%|███▌ | 25131/70000 [8:53:19<16:13:34, 1.30s/step] Training: 36%|███▌ | 25132/70000 [8:53:20<15:48:41, 1.27s/step] Training: 36%|███▌ | 25133/70000 [8:53:21<15:30:44, 1.24s/step] Training: 36%|███▌ | 25134/70000 [8:53:23<15:48:03, 1.27s/step] Training: 36%|███▌ | 25135/70000 [8:53:24<15:30:50, 1.24s/step] Training: 36%|███▌ | 25136/70000 [8:53:25<15:17:48, 1.23s/step] Training: 36%|███▌ | 25137/70000 [8:53:26<15:40:40, 1.26s/step] Training: 36%|███▌ | 25138/70000 [8:53:28<15:58:56, 1.28s/step] Training: 36%|███▌ | 25139/70000 [8:53:29<16:09:50, 1.30s/step] Training: 36%|███▌ | 25140/70000 [8:53:30<16:22:18, 1.31s/step] Training: 36%|███▌ | 25141/70000 [8:53:32<15:52:59, 1.27s/step] Training: 36%|███▌ | 25142/70000 [8:53:33<16:07:50, 1.29s/step] Training: 36%|███▌ | 25143/70000 [8:53:34<15:44:08, 1.26s/step] Training: 36%|███▌ | 25144/70000 [8:53:35<15:27:04, 1.24s/step] Training: 36%|███▌ | 25145/70000 [8:53:36<15:22:39, 1.23s/step] Training: 36%|███▌ | 25146/70000 [8:53:38<15:28:47, 1.24s/step] Training: 36%|███▌ | 25147/70000 [8:53:39<15:47:22, 1.27s/step] Training: 36%|███▌ | 25148/70000 [8:53:40<15:56:58, 1.28s/step] Training: 36%|███▌ | 25149/70000 [8:53:42<15:34:47, 1.25s/step] Training: 36%|███▌ | 25150/70000 [8:53:43<15:29:07, 1.24s/step] Training: 36%|███▌ | 25151/70000 [8:53:44<15:17:56, 1.23s/step] Training: 36%|███▌ | 25152/70000 [8:53:45<15:08:38, 1.22s/step] Training: 36%|███▌ | 25153/70000 [8:53:47<15:44:58, 1.26s/step] Training: 36%|███▌ | 25154/70000 [8:53:48<15:59:01, 1.28s/step] Training: 36%|███▌ | 25155/70000 [8:53:49<15:59:20, 1.28s/step] Training: 36%|███▌ | 25156/70000 [8:53:51<16:17:16, 1.31s/step] Training: 36%|███▌ | 25157/70000 [8:53:52<15:49:16, 1.27s/step] Training: 36%|███▌ | 25158/70000 [8:53:53<15:36:19, 1.25s/step] Training: 36%|███▌ | 25159/70000 [8:53:54<15:23:07, 1.24s/step] Training: 36%|███▌ | 25160/70000 [8:53:55<15:12:42, 1.22s/step] Training: 36%|███▌ | 25161/70000 [8:53:57<15:35:12, 1.25s/step] Training: 36%|███▌ | 25162/70000 [8:53:58<15:53:16, 1.28s/step] Training: 36%|███▌ | 25163/70000 [8:53:59<16:05:00, 1.29s/step] Training: 36%|███▌ | 25164/70000 [8:54:00<15:42:20, 1.26s/step] Training: 36%|███▌ | 25165/70000 [8:54:02<16:31:55, 1.33s/step] Training: 36%|███▌ | 25166/70000 [8:54:03<16:30:17, 1.33s/step] Training: 36%|███▌ | 25167/70000 [8:54:04<16:00:06, 1.28s/step] Training: 36%|███▌ | 25168/70000 [8:54:06<15:39:26, 1.26s/step] Training: 36%|███▌ | 25169/70000 [8:54:07<15:56:33, 1.28s/step] Training: 36%|███▌ | 25170/70000 [8:54:08<16:08:10, 1.30s/step] Training: 36%|███▌ | 25171/70000 [8:54:10<16:16:49, 1.31s/step] Training: 36%|███▌ | 25172/70000 [8:54:11<15:49:37, 1.27s/step] Training: 36%|███▌ | 25173/70000 [8:54:12<16:08:25, 1.30s/step] Training: 36%|███▌ | 25174/70000 [8:54:14<16:15:48, 1.31s/step] Training: 36%|███▌ | 25175/70000 [8:54:15<15:50:39, 1.27s/step] Training: 36%|███▌ | 25176/70000 [8:54:16<15:31:30, 1.25s/step] Training: 36%|███▌ | 25177/70000 [8:54:17<15:48:42, 1.27s/step] Training: 36%|███▌ | 25178/70000 [8:54:19<15:47:32, 1.27s/step] Training: 36%|███▌ | 25179/70000 [8:54:20<16:13:37, 1.30s/step] Training: 36%|███▌ | 25180/70000 [8:54:21<15:48:02, 1.27s/step] Training: 36%|███▌ | 25181/70000 [8:54:22<15:30:17, 1.25s/step] Training: 36%|███▌ | 25182/70000 [8:54:23<15:27:38, 1.24s/step] Training: 36%|███▌ | 25183/70000 [8:54:25<15:14:58, 1.22s/step] Training: 36%|███▌ | 25184/70000 [8:54:26<15:06:32, 1.21s/step] Training: 36%|███▌ | 25185/70000 [8:54:27<15:39:37, 1.26s/step] Training: 36%|███▌ | 25186/70000 [8:54:29<15:54:29, 1.28s/step] Training: 36%|███▌ | 25187/70000 [8:54:30<15:40:06, 1.26s/step] Training: 36%|███▌ | 25188/70000 [8:54:31<15:25:03, 1.24s/step] Training: 36%|███▌ | 25189/70000 [8:54:32<15:52:07, 1.27s/step] Training: 36%|███▌ | 25190/70000 [8:54:34<15:37:29, 1.26s/step] Training: 36%|███▌ | 25191/70000 [8:54:35<15:23:20, 1.24s/step] Training: 36%|███▌ | 25192/70000 [8:54:36<15:11:44, 1.22s/step] Training: 36%|███▌ | 25193/70000 [8:54:37<15:37:32, 1.26s/step] Training: 36%|███▌ | 25194/70000 [8:54:39<15:54:07, 1.28s/step] Training: 36%|███▌ | 25195/70000 [8:54:40<16:05:24, 1.29s/step] Training: 36%|███▌ | 25196/70000 [8:54:41<15:43:06, 1.26s/step] Training: 36%|███▌ | 25197/70000 [8:54:42<16:04:14, 1.29s/step] Training: 36%|███▌ | 25198/70000 [8:54:44<16:11:45, 1.30s/step] Training: 36%|███▌ | 25199/70000 [8:54:45<15:47:25, 1.27s/step] Training: 36%|███▌ | 25200/70000 [8:54:46<15:30:47, 1.25s/step]INFO 2026-03-13 05:04:38 ot_train.py:435 step:25K smpl:2M ep:5K epch:21.36 loss:0.046 grdn:5.631 lr:1.8e-05 updt_s:1.243 data_s:0.019 Training: 36%|███▌ | 25201/70000 [8:54:48<15:50:50, 1.27s/step] Training: 36%|███▌ | 25202/70000 [8:54:49<16:06:07, 1.29s/step] Training: 36%|███▌ | 25203/70000 [8:54:50<16:14:55, 1.31s/step] Training: 36%|███▌ | 25204/70000 [8:54:51<15:48:55, 1.27s/step] Training: 36%|███▌ | 25205/70000 [8:54:53<15:40:59, 1.26s/step] Training: 36%|███▌ | 25206/70000 [8:54:54<15:52:33, 1.28s/step] Training: 36%|███▌ | 25207/70000 [8:54:55<15:33:47, 1.25s/step] Training: 36%|███▌ | 25208/70000 [8:54:56<15:20:17, 1.23s/step] Training: 36%|███▌ | 25209/70000 [8:54:58<15:41:14, 1.26s/step] Training: 36%|███▌ | 25210/70000 [8:54:59<15:39:59, 1.26s/step] Training: 36%|███▌ | 25211/70000 [8:55:00<16:05:51, 1.29s/step] Training: 36%|███▌ | 25212/70000 [8:55:01<15:41:52, 1.26s/step] Training: 36%|███▌ | 25213/70000 [8:55:03<15:26:01, 1.24s/step] Training: 36%|███▌ | 25214/70000 [8:55:04<15:52:54, 1.28s/step] Training: 36%|███▌ | 25215/70000 [8:55:05<15:31:19, 1.25s/step] Training: 36%|███▌ | 25216/70000 [8:55:06<15:18:58, 1.23s/step] Training: 36%|███▌ | 25217/70000 [8:55:08<15:47:08, 1.27s/step] Training: 36%|███▌ | 25218/70000 [8:55:09<16:01:04, 1.29s/step] Training: 36%|███▌ | 25219/70000 [8:55:10<15:45:01, 1.27s/step] Training: 36%|███▌ | 25220/70000 [8:55:11<15:27:34, 1.24s/step] Training: 36%|███▌ | 25221/70000 [8:55:13<15:15:58, 1.23s/step] Training: 36%|███▌ | 25222/70000 [8:55:14<15:33:53, 1.25s/step] Training: 36%|███▌ | 25223/70000 [8:55:15<15:18:45, 1.23s/step] Training: 36%|███▌ | 25224/70000 [8:55:16<15:09:01, 1.22s/step] Training: 36%|███▌ | 25225/70000 [8:55:18<15:33:42, 1.25s/step] Training: 36%|███▌ | 25226/70000 [8:55:19<15:52:34, 1.28s/step] Training: 36%|███▌ | 25227/70000 [8:55:20<16:04:40, 1.29s/step] Training: 36%|███▌ | 25228/70000 [8:55:22<15:42:59, 1.26s/step] Training: 36%|███▌ | 25229/70000 [8:55:23<15:25:10, 1.24s/step] Training: 36%|███▌ | 25230/70000 [8:55:24<15:51:23, 1.28s/step] Training: 36%|███▌ | 25231/70000 [8:55:25<15:29:31, 1.25s/step] Training: 36%|███▌ | 25232/70000 [8:55:26<15:18:53, 1.23s/step] Training: 36%|███▌ | 25233/70000 [8:55:28<15:40:16, 1.26s/step] Training: 36%|███▌ | 25234/70000 [8:55:29<15:57:07, 1.28s/step] Training: 36%|███▌ | 25235/70000 [8:55:30<16:08:36, 1.30s/step] Training: 36%|███▌ | 25236/70000 [8:55:32<15:44:14, 1.27s/step] Training: 36%|███▌ | 25237/70000 [8:55:33<15:28:42, 1.24s/step] Training: 36%|███▌ | 25238/70000 [8:55:34<15:55:04, 1.28s/step] Training: 36%|███▌ | 25239/70000 [8:55:35<16:03:15, 1.29s/step] Training: 36%|███▌ | 25240/70000 [8:55:37<15:40:45, 1.26s/step] Training: 36%|███▌ | 25241/70000 [8:55:38<15:55:10, 1.28s/step] Training: 36%|███▌ | 25242/70000 [8:55:39<15:49:14, 1.27s/step] Training: 36%|███▌ | 25243/70000 [8:55:41<16:10:15, 1.30s/step] Training: 36%|███▌ | 25244/70000 [8:55:42<15:45:29, 1.27s/step] Training: 36%|███▌ | 25245/70000 [8:55:43<15:28:41, 1.25s/step] Training: 36%|███▌ | 25246/70000 [8:55:44<15:18:18, 1.23s/step] Training: 36%|███▌ | 25247/70000 [8:55:46<15:42:05, 1.26s/step] Training: 36%|███▌ | 25248/70000 [8:55:47<15:24:03, 1.24s/step] Training: 36%|███▌ | 25249/70000 [8:55:48<15:50:51, 1.27s/step] Training: 36%|███▌ | 25250/70000 [8:55:49<16:03:17, 1.29s/step] Training: 36%|███▌ | 25251/70000 [8:55:51<15:48:30, 1.27s/step] Training: 36%|███▌ | 25252/70000 [8:55:52<15:29:56, 1.25s/step] Training: 36%|███▌ | 25253/70000 [8:55:53<15:17:10, 1.23s/step] Training: 36%|███▌ | 25254/70000 [8:55:54<15:08:24, 1.22s/step] Training: 36%|███▌ | 25255/70000 [8:55:56<15:36:57, 1.26s/step] Training: 36%|███▌ | 25256/70000 [8:55:57<15:20:32, 1.23s/step] Training: 36%|███▌ | 25257/70000 [8:55:58<15:43:15, 1.26s/step] Training: 36%|███▌ | 25258/70000 [8:55:59<15:55:58, 1.28s/step] Training: 36%|███▌ | 25259/70000 [8:56:01<16:09:03, 1.30s/step] Training: 36%|███▌ | 25260/70000 [8:56:02<15:45:11, 1.27s/step] Training: 36%|███▌ | 25261/70000 [8:56:03<15:27:54, 1.24s/step] Training: 36%|███▌ | 25262/70000 [8:56:04<15:15:13, 1.23s/step] Training: 36%|███▌ | 25263/70000 [8:56:06<15:46:31, 1.27s/step] Training: 36%|███▌ | 25264/70000 [8:56:07<15:26:47, 1.24s/step] Training: 36%|███▌ | 25265/70000 [8:56:08<15:49:56, 1.27s/step] Training: 36%|███▌ | 25266/70000 [8:56:10<16:00:58, 1.29s/step] Training: 36%|███▌ | 25267/70000 [8:56:11<16:10:43, 1.30s/step] Training: 36%|███▌ | 25268/70000 [8:56:12<15:46:24, 1.27s/step] Training: 36%|███▌ | 25269/70000 [8:56:13<15:28:20, 1.25s/step] Training: 36%|███▌ | 25270/70000 [8:56:14<15:15:01, 1.23s/step] Training: 36%|███▌ | 25271/70000 [8:56:16<15:44:49, 1.27s/step] Training: 36%|███▌ | 25272/70000 [8:56:17<15:25:11, 1.24s/step] Training: 36%|███▌ | 25273/70000 [8:56:18<15:15:17, 1.23s/step] Training: 36%|███▌ | 25274/70000 [8:56:19<15:36:13, 1.26s/step] Training: 36%|███▌ | 25275/70000 [8:56:21<16:16:46, 1.31s/step] Training: 36%|███▌ | 25276/70000 [8:56:22<15:49:57, 1.27s/step] Training: 36%|███▌ | 25277/70000 [8:56:23<15:31:18, 1.25s/step] Training: 36%|███▌ | 25278/70000 [8:56:25<15:16:19, 1.23s/step] Training: 36%|███▌ | 25279/70000 [8:56:26<15:19:11, 1.23s/step] Training: 36%|███▌ | 25280/70000 [8:56:27<15:07:37, 1.22s/step] Training: 36%|███▌ | 25281/70000 [8:56:28<15:31:02, 1.25s/step] Training: 36%|███▌ | 25282/70000 [8:56:30<16:12:16, 1.30s/step] Training: 36%|███▌ | 25283/70000 [8:56:31<16:19:06, 1.31s/step] Training: 36%|███▌ | 25284/70000 [8:56:32<15:50:54, 1.28s/step] Training: 36%|███▌ | 25285/70000 [8:56:33<15:32:06, 1.25s/step] Training: 36%|███▌ | 25286/70000 [8:56:35<15:18:44, 1.23s/step] Training: 36%|███▌ | 25287/70000 [8:56:36<15:41:39, 1.26s/step] Training: 36%|███▌ | 25288/70000 [8:56:37<16:00:37, 1.29s/step] Training: 36%|███▌ | 25289/70000 [8:56:39<16:07:33, 1.30s/step] Training: 36%|███▌ | 25290/70000 [8:56:40<16:15:16, 1.31s/step] Training: 36%|███▌ | 25291/70000 [8:56:41<16:22:42, 1.32s/step] Training: 36%|███▌ | 25292/70000 [8:56:42<15:54:17, 1.28s/step] Training: 36%|███▌ | 25293/70000 [8:56:44<15:34:44, 1.25s/step] Training: 36%|███▌ | 25294/70000 [8:56:45<15:19:06, 1.23s/step] Training: 36%|███▌ | 25295/70000 [8:56:46<15:40:19, 1.26s/step] Training: 36%|███▌ | 25296/70000 [8:56:48<16:29:19, 1.33s/step] Training: 36%|███▌ | 25297/70000 [8:56:49<16:27:53, 1.33s/step] Training: 36%|███▌ | 25298/70000 [8:56:50<16:55:17, 1.36s/step] Training: 36%|███▌ | 25299/70000 [8:56:52<16:48:26, 1.35s/step] Training: 36%|███▌ | 25300/70000 [8:56:53<16:41:38, 1.34s/step]INFO 2026-03-13 05:06:45 ot_train.py:435 step:25K smpl:2M ep:6K epch:21.44 loss:0.046 grdn:7.387 lr:1.8e-05 updt_s:1.248 data_s:0.019 Training: 36%|███▌ | 25301/70000 [8:56:54<16:07:23, 1.30s/step] Training: 36%|███▌ | 25302/70000 [8:56:55<15:43:24, 1.27s/step] Training: 36%|███▌ | 25303/70000 [8:56:57<15:56:38, 1.28s/step] Training: 36%|███▌ | 25304/70000 [8:56:58<16:12:57, 1.31s/step] Training: 36%|███▌ | 25305/70000 [8:56:59<16:06:43, 1.30s/step] Training: 36%|███▌ | 25306/70000 [8:57:01<16:19:30, 1.31s/step] Training: 36%|███▌ | 25307/70000 [8:57:02<16:22:32, 1.32s/step] Training: 36%|███▌ | 25308/70000 [8:57:03<16:11:45, 1.30s/step] Training: 36%|███▌ | 25309/70000 [8:57:05<15:46:49, 1.27s/step] Training: 36%|███▌ | 25310/70000 [8:57:06<15:27:25, 1.25s/step] Training: 36%|███▌ | 25311/70000 [8:57:07<15:21:52, 1.24s/step] Training: 36%|███▌ | 25312/70000 [8:57:08<15:11:11, 1.22s/step] Training: 36%|███▌ | 25313/70000 [8:57:10<15:38:06, 1.26s/step] Training: 36%|███▌ | 25314/70000 [8:57:11<15:51:17, 1.28s/step] Training: 36%|███▌ | 25315/70000 [8:57:12<15:38:03, 1.26s/step] Training: 36%|███▌ | 25316/70000 [8:57:13<15:49:05, 1.27s/step] Training: 36%|███▌ | 25317/70000 [8:57:15<15:29:45, 1.25s/step] Training: 36%|███▌ | 25318/70000 [8:57:16<15:16:26, 1.23s/step] Training: 36%|███▌ | 25319/70000 [8:57:17<15:41:44, 1.26s/step] Training: 36%|███▌ | 25320/70000 [8:57:18<15:25:13, 1.24s/step] Training: 36%|███▌ | 25321/70000 [8:57:20<15:49:08, 1.27s/step] Training: 36%|███▌ | 25322/70000 [8:57:21<15:59:51, 1.29s/step] Training: 36%|███▌ | 25323/70000 [8:57:22<16:09:01, 1.30s/step] Training: 36%|███▌ | 25324/70000 [8:57:23<15:44:25, 1.27s/step] Training: 36%|███▌ | 25325/70000 [8:57:25<15:26:29, 1.24s/step] Training: 36%|███▌ | 25326/70000 [8:57:26<15:13:37, 1.23s/step] Training: 36%|███▌ | 25327/70000 [8:57:27<15:38:56, 1.26s/step] Training: 36%|███▌ | 25328/70000 [8:57:28<15:22:39, 1.24s/step] Training: 36%|███▌ | 25329/70000 [8:57:30<15:20:15, 1.24s/step] Training: 36%|███▌ | 25330/70000 [8:57:31<15:40:21, 1.26s/step] Training: 36%|███▌ | 25331/70000 [8:57:32<15:55:56, 1.28s/step] Training: 36%|███▌ | 25332/70000 [8:57:34<16:00:49, 1.29s/step] Training: 36%|███▌ | 25333/70000 [8:57:35<15:37:38, 1.26s/step] Training: 36%|███▌ | 25334/70000 [8:57:36<15:21:31, 1.24s/step] Training: 36%|███▌ | 25335/70000 [8:57:37<15:42:37, 1.27s/step] Training: 36%|███▌ | 25336/70000 [8:57:38<15:25:39, 1.24s/step] Training: 36%|███▌ | 25337/70000 [8:57:40<15:25:58, 1.24s/step] Training: 36%|███▌ | 25338/70000 [8:57:41<15:54:59, 1.28s/step] Training: 36%|███▌ | 25339/70000 [8:57:42<16:04:50, 1.30s/step] Training: 36%|███▌ | 25340/70000 [8:57:44<16:12:19, 1.31s/step] Training: 36%|███▌ | 25341/70000 [8:57:45<15:46:27, 1.27s/step] Training: 36%|███▌ | 25342/70000 [8:57:46<15:28:46, 1.25s/step] Training: 36%|███▌ | 25343/70000 [8:57:47<15:22:06, 1.24s/step] Training: 36%|███▌ | 25344/70000 [8:57:49<15:12:00, 1.23s/step] Training: 36%|███▌ | 25345/70000 [8:57:50<15:33:22, 1.25s/step] Training: 36%|███▌ | 25346/70000 [8:57:51<15:50:13, 1.28s/step] Training: 36%|███▌ | 25347/70000 [8:57:52<15:34:59, 1.26s/step] Training: 36%|███▌ | 25348/70000 [8:57:54<15:23:56, 1.24s/step] Training: 36%|███▌ | 25349/70000 [8:57:55<15:12:08, 1.23s/step] Training: 36%|███▌ | 25350/70000 [8:57:56<15:04:04, 1.21s/step] Training: 36%|███▌ | 25351/70000 [8:57:57<15:30:42, 1.25s/step] Training: 36%|███▌ | 25352/70000 [8:57:58<15:17:38, 1.23s/step] Training: 36%|███▌ | 25353/70000 [8:58:00<15:36:58, 1.26s/step] Training: 36%|███▌ | 25354/70000 [8:58:01<16:20:48, 1.32s/step] Training: 36%|███▌ | 25355/70000 [8:58:03<16:24:07, 1.32s/step] Training: 36%|███▌ | 25356/70000 [8:58:04<16:26:57, 1.33s/step] Training: 36%|███▌ | 25357/70000 [8:58:05<15:56:21, 1.29s/step] Training: 36%|███▌ | 25358/70000 [8:58:06<15:34:01, 1.26s/step] Training: 36%|███▌ | 25359/70000 [8:58:08<15:52:15, 1.28s/step] Training: 36%|███▌ | 25360/70000 [8:58:09<15:32:50, 1.25s/step] Training: 36%|███▌ | 25361/70000 [8:58:10<15:25:31, 1.24s/step] Training: 36%|███▌ | 25362/70000 [8:58:11<16:03:37, 1.30s/step] Training: 36%|███▌ | 25363/70000 [8:58:13<16:10:42, 1.30s/step] Training: 36%|███▌ | 25364/70000 [8:58:14<16:16:24, 1.31s/step] Training: 36%|███▌ | 25365/70000 [8:58:15<15:48:55, 1.28s/step] Training: 36%|███▌ | 25366/70000 [8:58:17<15:29:31, 1.25s/step] Training: 36%|███▌ | 25367/70000 [8:58:18<15:48:06, 1.27s/step] Training: 36%|███▌ | 25368/70000 [8:58:19<15:29:36, 1.25s/step] Training: 36%|███▌ | 25369/70000 [8:58:20<15:21:55, 1.24s/step] Training: 36%|███▌ | 25370/70000 [8:58:22<15:50:58, 1.28s/step] Training: 36%|███▌ | 25371/70000 [8:58:23<16:21:59, 1.32s/step] Training: 36%|███▌ | 25372/70000 [8:58:24<16:24:31, 1.32s/step] Training: 36%|███▌ | 25373/70000 [8:58:26<15:54:20, 1.28s/step] Training: 36%|███▌ | 25374/70000 [8:58:27<15:35:18, 1.26s/step] Training: 36%|███▋ | 25375/70000 [8:58:28<15:26:12, 1.25s/step] Training: 36%|███▋ | 25376/70000 [8:58:29<15:14:54, 1.23s/step] Training: 36%|███▋ | 25377/70000 [8:58:30<15:34:12, 1.26s/step] Training: 36%|███▋ | 25378/70000 [8:58:32<15:57:17, 1.29s/step] Training: 36%|███▋ | 25379/70000 [8:58:33<15:38:24, 1.26s/step] Training: 36%|███▋ | 25380/70000 [8:58:34<15:27:34, 1.25s/step] Training: 36%|███▋ | 25381/70000 [8:58:35<15:15:19, 1.23s/step] Training: 36%|███▋ | 25382/70000 [8:58:37<15:09:01, 1.22s/step] Training: 36%|███▋ | 25383/70000 [8:58:38<15:32:07, 1.25s/step] Training: 36%|███▋ | 25384/70000 [8:58:39<15:19:54, 1.24s/step] Training: 36%|███▋ | 25385/70000 [8:58:41<15:38:45, 1.26s/step] Training: 36%|███▋ | 25386/70000 [8:58:42<15:54:27, 1.28s/step] Training: 36%|███▋ | 25387/70000 [8:58:43<16:32:45, 1.34s/step] Training: 36%|███▋ | 25388/70000 [8:58:45<16:30:08, 1.33s/step] Training: 36%|███▋ | 25389/70000 [8:58:46<15:59:03, 1.29s/step] Training: 36%|███▋ | 25390/70000 [8:58:47<15:37:24, 1.26s/step] Training: 36%|███▋ | 25391/70000 [8:58:48<15:53:54, 1.28s/step] Training: 36%|███▋ | 25392/70000 [8:58:50<15:34:18, 1.26s/step] Training: 36%|███▋ | 25393/70000 [8:58:51<15:25:48, 1.25s/step] Training: 36%|███▋ | 25394/70000 [8:58:52<15:44:54, 1.27s/step] Training: 36%|███▋ | 25395/70000 [8:58:54<16:23:15, 1.32s/step] Training: 36%|███▋ | 25396/70000 [8:58:55<16:24:49, 1.32s/step] Training: 36%|███▋ | 25397/70000 [8:58:56<15:53:59, 1.28s/step] Training: 36%|███▋ | 25398/70000 [8:58:57<15:33:03, 1.26s/step] Training: 36%|███▋ | 25399/70000 [8:58:59<15:47:20, 1.27s/step] Training: 36%|███▋ | 25400/70000 [8:59:00<15:28:31, 1.25s/step]INFO 2026-03-13 05:08:52 ot_train.py:435 step:25K smpl:2M ep:6K epch:21.53 loss:0.045 grdn:6.294 lr:1.8e-05 updt_s:1.245 data_s:0.019 Training: 36%|███▋ | 25401/70000 [8:59:01<15:24:36, 1.24s/step] Training: 36%|███▋ | 25402/70000 [8:59:02<15:51:49, 1.28s/step] Training: 36%|███▋ | 25403/70000 [8:59:04<16:03:43, 1.30s/step] Training: 36%|███▋ | 25404/70000 [8:59:05<16:11:19, 1.31s/step] Training: 36%|███▋ | 25405/70000 [8:59:06<15:45:23, 1.27s/step] Training: 36%|███▋ | 25406/70000 [8:59:07<15:28:52, 1.25s/step] Training: 36%|███▋ | 25407/70000 [8:59:09<15:21:11, 1.24s/step] Training: 36%|███▋ | 25408/70000 [8:59:10<15:09:54, 1.22s/step] Training: 36%|███▋ | 25409/70000 [8:59:11<15:34:13, 1.26s/step] Training: 36%|███▋ | 25410/70000 [8:59:12<15:53:09, 1.28s/step] Training: 36%|███▋ | 25411/70000 [8:59:14<15:51:13, 1.28s/step] Training: 36%|███▋ | 25412/70000 [8:59:15<15:40:10, 1.27s/step] Training: 36%|███▋ | 25413/70000 [8:59:16<15:22:38, 1.24s/step] Training: 36%|███▋ | 25414/70000 [8:59:17<15:10:46, 1.23s/step] Training: 36%|███▋ | 25415/70000 [8:59:19<15:32:59, 1.26s/step] Training: 36%|███▋ | 25416/70000 [8:59:20<15:18:45, 1.24s/step] Training: 36%|███▋ | 25417/70000 [8:59:21<15:40:08, 1.27s/step] Training: 36%|███▋ | 25418/70000 [8:59:23<15:55:01, 1.29s/step] Training: 36%|███▋ | 25419/70000 [8:59:24<16:04:00, 1.30s/step] Training: 36%|███▋ | 25420/70000 [8:59:25<16:16:55, 1.31s/step] Training: 36%|███▋ | 25421/70000 [8:59:26<15:48:45, 1.28s/step] Training: 36%|███▋ | 25422/70000 [8:59:28<15:29:11, 1.25s/step] Training: 36%|███▋ | 25423/70000 [8:59:29<15:44:58, 1.27s/step] Training: 36%|███▋ | 25424/70000 [8:59:30<15:26:00, 1.25s/step] Training: 36%|███▋ | 25425/70000 [8:59:31<15:21:26, 1.24s/step] Training: 36%|███▋ | 25426/70000 [8:59:33<15:42:01, 1.27s/step] Training: 36%|███▋ | 25427/70000 [8:59:34<15:56:09, 1.29s/step] Training: 36%|███▋ | 25428/70000 [8:59:35<16:25:27, 1.33s/step] Training: 36%|███▋ | 25429/70000 [8:59:37<15:55:58, 1.29s/step] Training: 36%|███▋ | 25430/70000 [8:59:38<15:34:43, 1.26s/step] Training: 36%|███▋ | 25431/70000 [8:59:39<15:51:19, 1.28s/step] Training: 36%|███▋ | 25432/70000 [8:59:40<15:31:42, 1.25s/step] Training: 36%|███▋ | 25433/70000 [8:59:42<15:26:39, 1.25s/step] Training: 36%|███▋ | 25434/70000 [8:59:43<15:57:16, 1.29s/step] Training: 36%|███▋ | 25435/70000 [8:59:44<16:05:00, 1.30s/step] Training: 36%|███▋ | 25436/70000 [8:59:46<16:02:47, 1.30s/step] Training: 36%|███▋ | 25437/70000 [8:59:47<15:37:47, 1.26s/step] Training: 36%|███▋ | 25438/70000 [8:59:48<15:21:23, 1.24s/step] Training: 36%|███▋ | 25439/70000 [8:59:49<15:15:48, 1.23s/step] Training: 36%|███▋ | 25440/70000 [8:59:50<15:06:08, 1.22s/step] Training: 36%|███▋ | 25441/70000 [8:59:52<15:00:13, 1.21s/step] Training: 36%|███▋ | 25442/70000 [8:59:53<15:54:43, 1.29s/step] Training: 36%|███▋ | 25443/70000 [8:59:54<15:38:00, 1.26s/step] Training: 36%|███▋ | 25444/70000 [8:59:56<15:57:58, 1.29s/step] Training: 36%|███▋ | 25445/70000 [8:59:57<15:32:47, 1.26s/step] Training: 36%|███▋ | 25446/70000 [8:59:58<15:17:42, 1.24s/step] Training: 36%|███▋ | 25447/70000 [8:59:59<15:37:30, 1.26s/step] Training: 36%|███▋ | 25448/70000 [9:00:00<15:22:12, 1.24s/step] Training: 36%|███▋ | 25449/70000 [9:00:02<15:41:02, 1.27s/step] Training: 36%|███▋ | 25450/70000 [9:00:03<15:55:47, 1.29s/step] Training: 36%|███▋ | 25451/70000 [9:00:04<16:06:16, 1.30s/step] Training: 36%|███▋ | 25452/70000 [9:00:06<16:18:44, 1.32s/step] Training: 36%|███▋ | 25453/70000 [9:00:07<15:49:54, 1.28s/step] Training: 36%|███▋ | 25454/70000 [9:00:08<15:30:24, 1.25s/step] Training: 36%|███▋ | 25455/70000 [9:00:09<15:47:53, 1.28s/step] Training: 36%|███▋ | 25456/70000 [9:00:11<15:31:53, 1.26s/step] Training: 36%|███▋ | 25457/70000 [9:00:12<15:26:05, 1.25s/step] Training: 36%|███▋ | 25458/70000 [9:00:13<15:46:18, 1.27s/step] Training: 36%|███▋ | 25459/70000 [9:00:15<15:56:48, 1.29s/step] Training: 36%|███▋ | 25460/70000 [9:00:16<16:02:46, 1.30s/step] Training: 36%|███▋ | 25461/70000 [9:00:17<16:12:17, 1.31s/step] Training: 36%|███▋ | 25462/70000 [9:00:18<15:43:21, 1.27s/step] Training: 36%|███▋ | 25463/70000 [9:00:20<15:56:19, 1.29s/step] Training: 36%|███▋ | 25464/70000 [9:00:21<15:34:52, 1.26s/step] Training: 36%|███▋ | 25465/70000 [9:00:22<15:28:36, 1.25s/step] Training: 36%|███▋ | 25466/70000 [9:00:24<15:52:24, 1.28s/step] Training: 36%|███▋ | 25467/70000 [9:00:25<16:03:28, 1.30s/step] Training: 36%|███▋ | 25468/70000 [9:00:26<15:48:14, 1.28s/step] Training: 36%|███▋ | 25469/70000 [9:00:27<16:02:28, 1.30s/step] Training: 36%|███▋ | 25470/70000 [9:00:29<15:37:07, 1.26s/step] Training: 36%|███▋ | 25471/70000 [9:00:30<15:24:32, 1.25s/step] Training: 36%|███▋ | 25472/70000 [9:00:31<15:12:25, 1.23s/step] Training: 36%|███▋ | 25473/70000 [9:00:32<15:02:51, 1.22s/step] Training: 36%|███▋ | 25474/70000 [9:00:34<16:01:33, 1.30s/step] Training: 36%|███▋ | 25475/70000 [9:00:35<15:41:07, 1.27s/step] Training: 36%|███▋ | 25476/70000 [9:00:36<15:28:33, 1.25s/step] Training: 36%|███▋ | 25477/70000 [9:00:37<15:43:53, 1.27s/step] Training: 36%|███▋ | 25478/70000 [9:00:39<15:23:41, 1.24s/step] Training: 36%|███▋ | 25479/70000 [9:00:40<15:43:40, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57967 Training: 36%|███▋ | 25480/70000 [9:00:41<15:25:58, 1.25s/step] Training: 36%|███▋ | 25481/70000 [9:00:42<15:42:51, 1.27s/step] Training: 36%|███▋ | 25482/70000 [9:00:44<16:03:29, 1.30s/step] Training: 36%|███▋ | 25483/70000 [9:00:45<16:10:17, 1.31s/step] Training: 36%|███▋ | 25484/70000 [9:00:46<15:43:59, 1.27s/step] Training: 36%|███▋ | 25485/70000 [9:00:48<16:28:36, 1.33s/step] Training: 36%|███▋ | 25486/70000 [9:00:49<15:53:53, 1.29s/step] Training: 36%|███▋ | 25487/70000 [9:00:50<16:04:43, 1.30s/step] Training: 36%|███▋ | 25488/70000 [9:00:52<15:40:37, 1.27s/step] Training: 36%|███▋ | 25489/70000 [9:00:53<15:26:49, 1.25s/step] Training: 36%|███▋ | 25490/70000 [9:00:54<15:49:22, 1.28s/step] Training: 36%|███▋ | 25491/70000 [9:00:55<16:00:58, 1.30s/step] Training: 36%|███▋ | 25492/70000 [9:00:57<15:36:55, 1.26s/step] Training: 36%|███▋ | 25493/70000 [9:00:58<15:42:34, 1.27s/step] Training: 36%|███▋ | 25494/70000 [9:00:59<15:22:29, 1.24s/step] Training: 36%|███▋ | 25495/70000 [9:01:00<15:40:46, 1.27s/step] Training: 36%|███▋ | 25496/70000 [9:01:02<15:23:32, 1.25s/step] Training: 36%|███▋ | 25497/70000 [9:01:03<15:18:40, 1.24s/step] Training: 36%|███▋ | 25498/70000 [9:01:04<15:45:42, 1.28s/step] Training: 36%|███▋ | 25499/70000 [9:01:05<15:56:55, 1.29s/step] Training: 36%|███▋ | 25500/70000 [9:01:07<15:36:13, 1.26s/step]INFO 2026-03-13 05:10:59 ot_train.py:435 step:26K smpl:2M ep:6K epch:21.61 loss:0.045 grdn:6.600 lr:1.8e-05 updt_s:1.248 data_s:0.019 Training: 36%|███▋ | 25501/70000 [9:01:08<15:22:47, 1.24s/step] Training: 36%|███▋ | 25502/70000 [9:01:09<15:44:43, 1.27s/step] Training: 36%|███▋ | 25503/70000 [9:01:10<15:28:57, 1.25s/step] Training: 36%|███▋ | 25504/70000 [9:01:12<15:15:22, 1.23s/step] Training: 36%|███▋ | 25505/70000 [9:01:13<15:05:29, 1.22s/step] Training: 36%|███▋ | 25506/70000 [9:01:14<15:59:27, 1.29s/step] Training: 36%|███▋ | 25507/70000 [9:01:15<15:40:41, 1.27s/step] Training: 36%|███▋ | 25508/70000 [9:01:17<15:22:38, 1.24s/step] Training: 36%|███▋ | 25509/70000 [9:01:18<15:40:57, 1.27s/step] Training: 36%|███▋ | 25510/70000 [9:01:19<15:57:02, 1.29s/step] Training: 36%|███▋ | 25511/70000 [9:01:21<16:02:00, 1.30s/step] Training: 36%|███▋ | 25512/70000 [9:01:22<15:38:06, 1.27s/step] Training: 36%|███▋ | 25513/70000 [9:01:23<15:20:36, 1.24s/step] Training: 36%|███▋ | 25514/70000 [9:01:24<15:44:20, 1.27s/step] Training: 36%|███▋ | 25515/70000 [9:01:26<15:55:29, 1.29s/step] Training: 36%|███▋ | 25516/70000 [9:01:27<15:32:36, 1.26s/step] Training: 36%|███▋ | 25517/70000 [9:01:28<15:48:42, 1.28s/step] Training: 36%|███▋ | 25518/70000 [9:01:30<16:05:24, 1.30s/step] Training: 36%|███▋ | 25519/70000 [9:01:31<16:08:18, 1.31s/step] Training: 36%|███▋ | 25520/70000 [9:01:32<15:43:15, 1.27s/step] Training: 36%|███▋ | 25521/70000 [9:01:33<15:31:22, 1.26s/step] Training: 36%|███▋ | 25522/70000 [9:01:35<15:48:23, 1.28s/step] Training: 36%|███▋ | 25523/70000 [9:01:36<16:00:20, 1.30s/step] Training: 36%|███▋ | 25524/70000 [9:01:37<15:36:46, 1.26s/step] Training: 36%|███▋ | 25525/70000 [9:01:38<15:19:59, 1.24s/step] Training: 36%|███▋ | 25526/70000 [9:01:40<15:36:49, 1.26s/step] Training: 36%|███▋ | 25527/70000 [9:01:41<15:54:29, 1.29s/step] Training: 36%|███▋ | 25528/70000 [9:01:42<15:30:58, 1.26s/step] Training: 36%|███▋ | 25529/70000 [9:01:43<15:18:33, 1.24s/step] Training: 36%|███▋ | 25530/70000 [9:01:45<15:43:57, 1.27s/step] Training: 36%|███▋ | 25531/70000 [9:01:46<15:56:40, 1.29s/step] Training: 36%|███▋ | 25532/70000 [9:01:47<15:34:27, 1.26s/step] Training: 36%|███▋ | 25533/70000 [9:01:48<15:18:08, 1.24s/step] Training: 36%|███▋ | 25534/70000 [9:01:50<15:33:29, 1.26s/step] Training: 36%|███▋ | 25535/70000 [9:01:51<15:53:56, 1.29s/step] Training: 36%|███▋ | 25536/70000 [9:01:52<15:30:08, 1.26s/step] Training: 36%|███▋ | 25537/70000 [9:01:54<15:47:38, 1.28s/step] Training: 36%|███▋ | 25538/70000 [9:01:55<16:01:08, 1.30s/step] Training: 36%|███▋ | 25539/70000 [9:01:56<15:44:17, 1.27s/step] Training: 36%|███▋ | 25540/70000 [9:01:57<15:28:15, 1.25s/step] Training: 36%|███▋ | 25541/70000 [9:01:59<15:43:55, 1.27s/step] Training: 36%|███▋ | 25542/70000 [9:02:00<15:25:38, 1.25s/step] Training: 36%|███▋ | 25543/70000 [9:02:01<15:44:39, 1.27s/step] Training: 36%|███▋ | 25544/70000 [9:02:02<15:26:41, 1.25s/step] Training: 36%|███▋ | 25545/70000 [9:02:04<15:41:55, 1.27s/step] Training: 36%|███▋ | 25546/70000 [9:02:05<15:59:07, 1.29s/step] Training: 36%|███▋ | 25547/70000 [9:02:06<16:06:51, 1.31s/step] Training: 36%|███▋ | 25548/70000 [9:02:08<15:42:30, 1.27s/step] Training: 36%|███▋ | 25549/70000 [9:02:09<15:52:01, 1.29s/step] Training: 36%|███▋ | 25550/70000 [9:02:10<15:32:10, 1.26s/step] Training: 37%|███▋ | 25551/70000 [9:02:11<15:55:11, 1.29s/step] Training: 37%|███▋ | 25552/70000 [9:02:13<15:32:56, 1.26s/step] Training: 37%|███▋ | 25553/70000 [9:02:14<15:24:36, 1.25s/step] Training: 37%|███▋ | 25554/70000 [9:02:15<15:45:02, 1.28s/step] Training: 37%|███▋ | 25555/70000 [9:02:17<15:56:41, 1.29s/step] Training: 37%|███▋ | 25556/70000 [9:02:18<15:34:18, 1.26s/step] Training: 37%|███▋ | 25557/70000 [9:02:19<15:24:46, 1.25s/step] Training: 37%|███▋ | 25558/70000 [9:02:20<15:11:31, 1.23s/step] Training: 37%|███▋ | 25559/70000 [9:02:21<15:28:39, 1.25s/step] Training: 37%|███▋ | 25560/70000 [9:02:23<15:12:39, 1.23s/step] Training: 37%|███▋ | 25561/70000 [9:02:24<15:10:00, 1.23s/step] Training: 37%|███▋ | 25562/70000 [9:02:25<16:00:32, 1.30s/step] Training: 37%|███▋ | 25563/70000 [9:02:27<16:08:16, 1.31s/step] Training: 37%|███▋ | 25564/70000 [9:02:28<15:41:56, 1.27s/step] Training: 37%|███▋ | 25565/70000 [9:02:29<15:28:36, 1.25s/step] Training: 37%|███▋ | 25566/70000 [9:02:30<15:14:17, 1.23s/step] Training: 37%|███▋ | 25567/70000 [9:02:31<15:08:04, 1.23s/step] Training: 37%|███▋ | 25568/70000 [9:02:33<15:34:11, 1.26s/step] Training: 37%|███▋ | 25569/70000 [9:02:34<15:46:48, 1.28s/step] Training: 37%|███▋ | 25570/70000 [9:02:35<16:00:42, 1.30s/step] Training: 37%|███▋ | 25571/70000 [9:02:37<15:42:06, 1.27s/step] Training: 37%|███▋ | 25572/70000 [9:02:38<15:23:30, 1.25s/step] Training: 37%|███▋ | 25573/70000 [9:02:39<15:40:26, 1.27s/step] Training: 37%|███▋ | 25574/70000 [9:02:40<15:23:41, 1.25s/step] Training: 37%|███▋ | 25575/70000 [9:02:42<15:42:11, 1.27s/step] Training: 37%|███▋ | 25576/70000 [9:02:43<15:42:52, 1.27s/step] Training: 37%|███▋ | 25577/70000 [9:02:44<15:53:22, 1.29s/step] Training: 37%|███▋ | 25578/70000 [9:02:46<16:03:02, 1.30s/step] Training: 37%|███▋ | 25579/70000 [9:02:47<16:12:21, 1.31s/step] Training: 37%|███▋ | 25580/70000 [9:02:48<15:45:25, 1.28s/step] Training: 37%|███▋ | 25581/70000 [9:02:50<15:56:36, 1.29s/step] Training: 37%|███▋ | 25582/70000 [9:02:51<15:35:17, 1.26s/step] Training: 37%|███▋ | 25583/70000 [9:02:52<15:50:03, 1.28s/step] Training: 37%|███▋ | 25584/70000 [9:02:53<15:30:26, 1.26s/step] Training: 37%|███▋ | 25585/70000 [9:02:55<15:51:55, 1.29s/step] Training: 37%|███▋ | 25586/70000 [9:02:56<16:15:11, 1.32s/step] Training: 37%|███▋ | 25587/70000 [9:02:57<16:17:24, 1.32s/step] Training: 37%|███▋ | 25588/70000 [9:02:58<15:48:40, 1.28s/step] Training: 37%|███▋ | 25589/70000 [9:03:00<15:37:02, 1.27s/step] Training: 37%|███▋ | 25590/70000 [9:03:01<15:20:38, 1.24s/step] Training: 37%|███▋ | 25591/70000 [9:03:02<15:19:26, 1.24s/step] Training: 37%|███▋ | 25592/70000 [9:03:04<15:44:12, 1.28s/step] Training: 37%|███▋ | 25593/70000 [9:03:05<15:25:18, 1.25s/step] Training: 37%|███▋ | 25594/70000 [9:03:06<15:54:11, 1.29s/step] Training: 37%|███▋ | 25595/70000 [9:03:07<16:04:29, 1.30s/step] Training: 37%|███▋ | 25596/70000 [9:03:09<15:40:13, 1.27s/step] Training: 37%|███▋ | 25597/70000 [9:03:10<15:27:45, 1.25s/step] Training: 37%|███▋ | 25598/70000 [9:03:11<15:14:54, 1.24s/step] Training: 37%|███▋ | 25599/70000 [9:03:12<15:06:51, 1.23s/step] Training: 37%|███▋ | 25600/70000 [9:03:13<15:00:07, 1.22s/step]INFO 2026-03-13 05:13:06 ot_train.py:435 step:26K smpl:2M ep:6K epch:21.70 loss:0.044 grdn:6.158 lr:1.8e-05 updt_s:1.246 data_s:0.019 Training: 37%|███▋ | 25601/70000 [9:03:15<15:46:04, 1.28s/step] Training: 37%|███▋ | 25602/70000 [9:03:16<15:56:46, 1.29s/step] Training: 37%|███▋ | 25603/70000 [9:03:17<15:37:47, 1.27s/step] Training: 37%|███▋ | 25604/70000 [9:03:19<15:20:14, 1.24s/step] Training: 37%|███▋ | 25605/70000 [9:03:20<15:39:01, 1.27s/step] Training: 37%|███▋ | 25606/70000 [9:03:21<15:21:09, 1.24s/step] Training: 37%|███▋ | 25607/70000 [9:03:22<15:40:07, 1.27s/step] Training: 37%|███▋ | 25608/70000 [9:03:24<15:21:56, 1.25s/step] Training: 37%|███▋ | 25609/70000 [9:03:25<16:04:57, 1.30s/step] Training: 37%|███▋ | 25610/70000 [9:03:26<16:12:26, 1.31s/step] Training: 37%|███▋ | 25611/70000 [9:03:28<16:14:45, 1.32s/step] Training: 37%|███▋ | 25612/70000 [9:03:29<15:46:26, 1.28s/step] Training: 37%|███▋ | 25613/70000 [9:03:30<15:57:48, 1.29s/step] Training: 37%|███▋ | 25614/70000 [9:03:31<15:34:43, 1.26s/step] Training: 37%|███▋ | 25615/70000 [9:03:33<15:47:21, 1.28s/step] Training: 37%|███▋ | 25616/70000 [9:03:34<15:27:04, 1.25s/step] Training: 37%|███▋ | 25617/70000 [9:03:35<15:24:03, 1.25s/step] Training: 37%|███▋ | 25618/70000 [9:03:37<15:52:12, 1.29s/step] Training: 37%|███▋ | 25619/70000 [9:03:38<16:00:37, 1.30s/step] Training: 37%|███▋ | 25620/70000 [9:03:39<15:36:33, 1.27s/step] Training: 37%|███▋ | 25621/70000 [9:03:40<15:27:28, 1.25s/step] Training: 37%|███▋ | 25622/70000 [9:03:41<15:12:43, 1.23s/step] Training: 37%|███▋ | 25623/70000 [9:03:43<15:11:56, 1.23s/step] Training: 37%|███▋ | 25624/70000 [9:03:44<15:01:50, 1.22s/step] Training: 37%|███▋ | 25625/70000 [9:03:45<15:12:19, 1.23s/step] Training: 37%|███▋ | 25626/70000 [9:03:47<15:41:00, 1.27s/step] Training: 37%|███▋ | 25627/70000 [9:03:48<15:54:46, 1.29s/step] Training: 37%|███▋ | 25628/70000 [9:03:49<15:32:07, 1.26s/step] Training: 37%|███▋ | 25629/70000 [9:03:50<15:22:31, 1.25s/step] Training: 37%|███▋ | 25630/70000 [9:03:51<15:09:27, 1.23s/step] Training: 37%|███▋ | 25631/70000 [9:03:53<15:04:43, 1.22s/step] Training: 37%|███▋ | 25632/70000 [9:03:54<14:58:11, 1.21s/step] Training: 37%|███▋ | 25633/70000 [9:03:55<15:22:49, 1.25s/step] Training: 37%|███▋ | 25634/70000 [9:03:57<15:40:15, 1.27s/step] Training: 37%|███▋ | 25635/70000 [9:03:58<15:26:21, 1.25s/step] Training: 37%|███▋ | 25636/70000 [9:03:59<15:12:07, 1.23s/step] Training: 37%|███▋ | 25637/70000 [9:04:00<15:33:04, 1.26s/step] Training: 37%|███▋ | 25638/70000 [9:04:01<15:17:12, 1.24s/step] Training: 37%|███▋ | 25639/70000 [9:04:03<15:35:47, 1.27s/step] Training: 37%|███▋ | 25640/70000 [9:04:04<15:19:02, 1.24s/step] Training: 37%|███▋ | 25641/70000 [9:04:05<15:36:31, 1.27s/step] Training: 37%|███▋ | 25642/70000 [9:04:07<16:18:14, 1.32s/step] Training: 37%|███▋ | 25643/70000 [9:04:08<16:19:33, 1.33s/step] Training: 37%|███▋ | 25644/70000 [9:04:09<15:49:35, 1.28s/step] Training: 37%|███▋ | 25645/70000 [9:04:11<15:57:10, 1.29s/step] Training: 37%|███▋ | 25646/70000 [9:04:12<15:34:16, 1.26s/step] Training: 37%|███▋ | 25647/70000 [9:04:13<15:51:17, 1.29s/step] Training: 37%|███▋ | 25648/70000 [9:04:14<15:30:35, 1.26s/step] Training: 37%|███▋ | 25649/70000 [9:04:15<15:22:39, 1.25s/step] Training: 37%|███▋ | 25650/70000 [9:04:17<16:01:29, 1.30s/step] Training: 37%|███▋ | 25651/70000 [9:04:18<16:08:40, 1.31s/step] Training: 37%|███▋ | 25652/70000 [9:04:19<15:42:16, 1.27s/step] Training: 37%|███▋ | 25653/70000 [9:04:21<15:31:05, 1.26s/step] Training: 37%|███▋ | 25654/70000 [9:04:22<15:15:04, 1.24s/step] Training: 37%|███▋ | 25655/70000 [9:04:23<15:15:56, 1.24s/step] Training: 37%|███▋ | 25656/70000 [9:04:24<15:04:09, 1.22s/step] Training: 37%|███▋ | 25657/70000 [9:04:25<15:01:42, 1.22s/step] Training: 37%|███▋ | 25658/70000 [9:04:27<15:39:12, 1.27s/step] Training: 37%|███▋ | 25659/70000 [9:04:28<15:48:48, 1.28s/step] Training: 37%|███▋ | 25660/70000 [9:04:29<15:28:01, 1.26s/step] Training: 37%|███▋ | 25661/70000 [9:04:31<15:16:45, 1.24s/step] Training: 37%|███▋ | 25662/70000 [9:04:32<15:05:05, 1.22s/step] Training: 37%|███▋ | 25663/70000 [9:04:33<15:02:24, 1.22s/step] Training: 37%|███▋ | 25664/70000 [9:04:34<14:55:43, 1.21s/step] Training: 37%|███▋ | 25665/70000 [9:04:36<15:22:49, 1.25s/step] Training: 37%|███▋ | 25666/70000 [9:04:37<15:48:28, 1.28s/step] Training: 37%|███▋ | 25667/70000 [9:04:38<15:29:52, 1.26s/step] Training: 37%|███▋ | 25668/70000 [9:04:39<15:14:09, 1.24s/step] Training: 37%|███▋ | 25669/70000 [9:04:41<15:34:58, 1.27s/step] Training: 37%|███▋ | 25670/70000 [9:04:42<15:18:13, 1.24s/step] Training: 37%|███▋ | 25671/70000 [9:04:43<15:36:12, 1.27s/step] Training: 37%|███▋ | 25672/70000 [9:04:44<15:19:35, 1.24s/step] Training: 37%|███▋ | 25673/70000 [9:04:46<15:37:28, 1.27s/step] Training: 37%|███▋ | 25674/70000 [9:04:47<15:52:07, 1.29s/step] Training: 37%|███▋ | 25675/70000 [9:04:48<16:21:27, 1.33s/step] Training: 37%|███▋ | 25676/70000 [9:04:50<15:50:47, 1.29s/step] Training: 37%|███▋ | 25677/70000 [9:04:51<16:01:46, 1.30s/step] Training: 37%|███▋ | 25678/70000 [9:04:52<15:36:19, 1.27s/step] Training: 37%|███▋ | 25679/70000 [9:04:53<15:18:49, 1.24s/step] Training: 37%|███▋ | 25680/70000 [9:04:55<15:37:12, 1.27s/step] Training: 37%|███▋ | 25681/70000 [9:04:56<15:22:42, 1.25s/step] Training: 37%|███▋ | 25682/70000 [9:04:57<15:51:57, 1.29s/step] Training: 37%|███▋ | 25683/70000 [9:04:59<16:27:05, 1.34s/step] Training: 37%|███▋ | 25684/70000 [9:05:00<15:54:12, 1.29s/step] Training: 37%|███▋ | 25685/70000 [9:05:01<15:39:46, 1.27s/step] Training: 37%|███▋ | 25686/70000 [9:05:02<15:21:00, 1.25s/step] Training: 37%|███▋ | 25687/70000 [9:05:03<15:08:39, 1.23s/step] Training: 37%|███▋ | 25688/70000 [9:05:05<15:25:56, 1.25s/step] Training: 37%|███▋ | 25689/70000 [9:05:06<15:19:10, 1.24s/step] Training: 37%|███▋ | 25690/70000 [9:05:07<15:21:56, 1.25s/step] Training: 37%|███▋ | 25691/70000 [9:05:09<16:05:58, 1.31s/step] Training: 37%|███▋ | 25692/70000 [9:05:10<15:39:57, 1.27s/step] Training: 37%|███▋ | 25693/70000 [9:05:11<15:24:27, 1.25s/step] Training: 37%|███▋ | 25694/70000 [9:05:12<15:09:52, 1.23s/step] Training: 37%|███▋ | 25695/70000 [9:05:13<15:00:03, 1.22s/step] Training: 37%|███▋ | 25696/70000 [9:05:15<14:53:16, 1.21s/step] Training: 37%|███▋ | 25697/70000 [9:05:16<14:48:11, 1.20s/step] Training: 37%|███▋ | 25698/70000 [9:05:17<15:44:55, 1.28s/step] Training: 37%|███▋ | 25699/70000 [9:05:19<16:01:57, 1.30s/step] Training: 37%|███▋ | 25700/70000 [9:05:20<15:34:38, 1.27s/step]INFO 2026-03-13 05:15:12 ot_train.py:435 step:26K smpl:2M ep:6K epch:21.78 loss:0.047 grdn:6.787 lr:1.8e-05 updt_s:1.242 data_s:0.019 Training: 37%|███▋ | 25701/70000 [9:05:21<15:47:59, 1.28s/step] Training: 37%|███▋ | 25702/70000 [9:05:22<15:26:19, 1.25s/step] Training: 37%|███▋ | 25703/70000 [9:05:24<15:13:29, 1.24s/step] Training: 37%|███▋ | 25704/70000 [9:05:25<15:30:12, 1.26s/step] Training: 37%|███▋ | 25705/70000 [9:05:26<15:13:49, 1.24s/step] Training: 37%|███▋ | 25706/70000 [9:05:27<15:35:07, 1.27s/step] Training: 37%|███▋ | 25707/70000 [9:05:29<15:47:46, 1.28s/step] Training: 37%|███▋ | 25708/70000 [9:05:30<15:26:44, 1.26s/step] Training: 37%|███▋ | 25709/70000 [9:05:31<15:44:15, 1.28s/step] Training: 37%|███▋ | 25710/70000 [9:05:32<15:23:58, 1.25s/step] Training: 37%|███▋ | 25711/70000 [9:05:34<15:10:45, 1.23s/step] Training: 37%|███▋ | 25712/70000 [9:05:35<15:31:30, 1.26s/step] Training: 37%|███▋ | 25713/70000 [9:05:36<15:23:26, 1.25s/step] Training: 37%|███▋ | 25714/70000 [9:05:38<15:51:03, 1.29s/step] Training: 37%|███▋ | 25715/70000 [9:05:39<16:00:31, 1.30s/step] Training: 37%|███▋ | 25716/70000 [9:05:40<16:10:07, 1.31s/step] Training: 37%|███▋ | 25717/70000 [9:05:41<15:47:28, 1.28s/step] Training: 37%|███▋ | 25718/70000 [9:05:43<15:27:14, 1.26s/step] Training: 37%|███▋ | 25719/70000 [9:05:44<15:11:53, 1.24s/step] Training: 37%|███▋ | 25720/70000 [9:05:45<15:06:28, 1.23s/step] Training: 37%|███▋ | 25721/70000 [9:05:46<15:03:42, 1.22s/step] Training: 37%|███▋ | 25722/70000 [9:05:47<15:07:48, 1.23s/step] Training: 37%|███▋ | 25723/70000 [9:05:49<15:29:22, 1.26s/step] Training: 37%|███▋ | 25724/70000 [9:05:50<15:38:59, 1.27s/step] Training: 37%|███▋ | 25725/70000 [9:05:51<15:23:34, 1.25s/step] Training: 37%|███▋ | 25726/70000 [9:05:52<15:10:13, 1.23s/step] Training: 37%|███▋ | 25727/70000 [9:05:54<15:00:52, 1.22s/step] Training: 37%|███▋ | 25728/70000 [9:05:55<15:23:35, 1.25s/step] Training: 37%|███▋ | 25729/70000 [9:05:56<15:41:10, 1.28s/step] Training: 37%|███▋ | 25730/70000 [9:05:58<15:51:37, 1.29s/step] Training: 37%|███▋ | 25731/70000 [9:05:59<15:34:16, 1.27s/step] Training: 37%|███▋ | 25732/70000 [9:06:00<15:55:09, 1.29s/step] Training: 37%|███▋ | 25733/70000 [9:06:02<16:00:50, 1.30s/step] Training: 37%|███▋ | 25734/70000 [9:06:03<15:35:58, 1.27s/step] Training: 37%|███▋ | 25735/70000 [9:06:04<15:18:17, 1.24s/step] Training: 37%|███▋ | 25736/70000 [9:06:05<15:36:57, 1.27s/step] Training: 37%|███▋ | 25737/70000 [9:06:07<15:49:09, 1.29s/step] Training: 37%|███▋ | 25738/70000 [9:06:08<16:00:28, 1.30s/step] Training: 37%|███▋ | 25739/70000 [9:06:09<16:07:55, 1.31s/step] Training: 37%|███▋ | 25740/70000 [9:06:10<15:41:41, 1.28s/step] Training: 37%|███▋ | 25741/70000 [9:06:12<16:16:21, 1.32s/step] Training: 37%|███▋ | 25742/70000 [9:06:13<15:46:08, 1.28s/step] Training: 37%|███▋ | 25743/70000 [9:06:14<15:25:27, 1.25s/step] Training: 37%|███▋ | 25744/70000 [9:06:16<15:24:50, 1.25s/step] Training: 37%|███▋ | 25745/70000 [9:06:17<15:19:31, 1.25s/step] Training: 37%|███▋ | 25746/70000 [9:06:18<15:48:04, 1.29s/step] Training: 37%|███▋ | 25747/70000 [9:06:20<16:24:21, 1.33s/step] Training: 37%|███▋ | 25748/70000 [9:06:21<15:52:12, 1.29s/step] Training: 37%|███▋ | 25749/70000 [9:06:22<16:04:49, 1.31s/step] Training: 37%|███▋ | 25750/70000 [9:06:23<15:36:32, 1.27s/step] Training: 37%|███▋ | 25751/70000 [9:06:24<15:18:59, 1.25s/step] Training: 37%|███▋ | 25752/70000 [9:06:26<15:08:44, 1.23s/step] Training: 37%|███▋ | 25753/70000 [9:06:27<15:03:55, 1.23s/step] Training: 37%|███▋ | 25754/70000 [9:06:28<15:06:20, 1.23s/step] Training: 37%|███▋ | 25755/70000 [9:06:30<15:48:43, 1.29s/step] Training: 37%|███▋ | 25756/70000 [9:06:31<15:26:36, 1.26s/step] Training: 37%|███▋ | 25757/70000 [9:06:32<15:15:29, 1.24s/step] Training: 37%|███▋ | 25758/70000 [9:06:33<15:03:47, 1.23s/step] Training: 37%|███▋ | 25759/70000 [9:06:34<14:55:34, 1.21s/step] Training: 37%|███▋ | 25760/70000 [9:06:36<15:21:35, 1.25s/step] Training: 37%|███▋ | 25761/70000 [9:06:37<15:39:04, 1.27s/step] Training: 37%|███▋ | 25762/70000 [9:06:38<15:50:39, 1.29s/step] Training: 37%|███▋ | 25763/70000 [9:06:40<15:34:55, 1.27s/step] Training: 37%|███▋ | 25764/70000 [9:06:41<15:17:48, 1.24s/step] Training: 37%|███▋ | 25765/70000 [9:06:42<15:42:13, 1.28s/step] Training: 37%|███▋ | 25766/70000 [9:06:43<15:21:57, 1.25s/step] Training: 37%|███▋ | 25767/70000 [9:06:44<15:08:37, 1.23s/step] Training: 37%|███▋ | 25768/70000 [9:06:46<15:29:08, 1.26s/step] Training: 37%|███▋ | 25769/70000 [9:06:47<15:43:55, 1.28s/step] Training: 37%|███▋ | 25770/70000 [9:06:48<15:56:28, 1.30s/step] Training: 37%|███▋ | 25771/70000 [9:06:50<16:28:42, 1.34s/step] Training: 37%|███▋ | 25772/70000 [9:06:51<15:54:46, 1.30s/step] Training: 37%|███▋ | 25773/70000 [9:06:52<16:00:29, 1.30s/step] Training: 37%|███▋ | 25774/70000 [9:06:54<15:34:56, 1.27s/step] Training: 37%|███▋ | 25775/70000 [9:06:55<15:17:24, 1.24s/step] Training: 37%|███▋ | 25776/70000 [9:06:56<15:13:35, 1.24s/step] Training: 37%|███▋ | 25777/70000 [9:06:57<15:15:58, 1.24s/step] Training: 37%|███▋ | 25778/70000 [9:06:59<15:43:58, 1.28s/step] Training: 37%|███▋ | 25779/70000 [9:07:00<15:53:43, 1.29s/step] Training: 37%|███▋ | 25780/70000 [9:07:01<15:30:38, 1.26s/step] Training: 37%|███▋ | 25781/70000 [9:07:02<15:21:24, 1.25s/step] Training: 37%|███▋ | 25782/70000 [9:07:04<15:42:23, 1.28s/step] Training: 37%|███▋ | 25783/70000 [9:07:05<15:21:02, 1.25s/step] Training: 37%|███▋ | 25784/70000 [9:07:06<15:10:59, 1.24s/step] Training: 37%|███▋ | 25785/70000 [9:07:07<15:04:55, 1.23s/step] Training: 37%|███▋ | 25786/70000 [9:07:09<15:08:42, 1.23s/step] Training: 37%|███▋ | 25787/70000 [9:07:10<15:30:40, 1.26s/step] Training: 37%|███▋ | 25788/70000 [9:07:11<15:14:55, 1.24s/step] Training: 37%|███▋ | 25789/70000 [9:07:12<15:11:18, 1.24s/step] Training: 37%|███▋ | 25790/70000 [9:07:14<15:19:21, 1.25s/step] Training: 37%|███▋ | 25791/70000 [9:07:15<15:05:45, 1.23s/step] Training: 37%|███▋ | 25792/70000 [9:07:16<15:28:02, 1.26s/step] Training: 37%|███▋ | 25793/70000 [9:07:17<15:48:38, 1.29s/step] Training: 37%|███▋ | 25794/70000 [9:07:19<16:00:08, 1.30s/step] Training: 37%|███▋ | 25795/70000 [9:07:20<16:06:20, 1.31s/step] Training: 37%|███▋ | 25796/70000 [9:07:21<15:39:03, 1.27s/step] Training: 37%|███▋ | 25797/70000 [9:07:23<15:51:23, 1.29s/step] Training: 37%|███▋ | 25798/70000 [9:07:24<15:28:56, 1.26s/step] Training: 37%|███▋ | 25799/70000 [9:07:25<15:46:05, 1.28s/step] Training: 37%|███▋ | 25800/70000 [9:07:26<15:52:51, 1.29s/step]INFO 2026-03-13 05:17:19 ot_train.py:435 step:26K smpl:2M ep:6K epch:21.87 loss:0.045 grdn:7.223 lr:1.8e-05 updt_s:1.245 data_s:0.019 Training: 37%|███▋ | 25801/70000 [9:07:28<16:04:20, 1.31s/step] Training: 37%|███▋ | 25802/70000 [9:07:29<16:06:27, 1.31s/step] Training: 37%|███▋ | 25803/70000 [9:07:30<16:12:20, 1.32s/step] Training: 37%|███▋ | 25804/70000 [9:07:32<15:43:41, 1.28s/step] Training: 37%|███▋ | 25805/70000 [9:07:33<15:53:04, 1.29s/step] Training: 37%|███▋ | 25806/70000 [9:07:34<16:06:48, 1.31s/step] Training: 37%|███▋ | 25807/70000 [9:07:36<15:37:28, 1.27s/step] Training: 37%|███▋ | 25808/70000 [9:07:37<15:27:05, 1.26s/step] Training: 37%|███▋ | 25809/70000 [9:07:38<15:18:51, 1.25s/step] Training: 37%|███▋ | 25810/70000 [9:07:39<15:15:50, 1.24s/step] Training: 37%|███▋ | 25811/70000 [9:07:41<15:35:55, 1.27s/step] Training: 37%|███▋ | 25812/70000 [9:07:42<15:17:19, 1.25s/step] Training: 37%|███▋ | 25813/70000 [9:07:43<15:11:56, 1.24s/step] Training: 37%|███▋ | 25814/70000 [9:07:44<15:00:55, 1.22s/step] Training: 37%|███▋ | 25815/70000 [9:07:45<15:26:32, 1.26s/step] Training: 37%|███▋ | 25816/70000 [9:07:47<15:12:18, 1.24s/step] Training: 37%|███▋ | 25817/70000 [9:07:48<15:05:10, 1.23s/step] Training: 37%|███▋ | 25818/70000 [9:07:49<15:06:06, 1.23s/step] Training: 37%|███▋ | 25819/70000 [9:07:50<15:32:49, 1.27s/step] Training: 37%|███▋ | 25820/70000 [9:07:52<15:15:47, 1.24s/step] Training: 37%|███▋ | 25821/70000 [9:07:53<15:06:15, 1.23s/step] Training: 37%|███▋ | 25822/70000 [9:07:54<14:58:13, 1.22s/step] Training: 37%|███▋ | 25823/70000 [9:07:55<15:25:36, 1.26s/step] Training: 37%|███▋ | 25824/70000 [9:07:57<15:39:16, 1.28s/step] Training: 37%|███▋ | 25825/70000 [9:07:58<15:49:38, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=59011 Training: 37%|███▋ | 25826/70000 [9:07:59<15:57:02, 1.30s/step] Training: 37%|███▋ | 25827/70000 [9:08:01<16:03:34, 1.31s/step] Training: 37%|███▋ | 25828/70000 [9:08:02<15:37:09, 1.27s/step] Training: 37%|███▋ | 25829/70000 [9:08:03<15:54:42, 1.30s/step] Training: 37%|███▋ | 25830/70000 [9:08:04<15:31:44, 1.27s/step] Training: 37%|███▋ | 25831/70000 [9:08:06<15:15:09, 1.24s/step] Training: 37%|███▋ | 25832/70000 [9:08:07<15:33:22, 1.27s/step] Training: 37%|███▋ | 25833/70000 [9:08:08<15:48:05, 1.29s/step] Training: 37%|███▋ | 25834/70000 [9:08:10<15:58:50, 1.30s/step] Training: 37%|███▋ | 25835/70000 [9:08:11<16:05:36, 1.31s/step] Training: 37%|███▋ | 25836/70000 [9:08:12<15:38:42, 1.28s/step] Training: 37%|███▋ | 25837/70000 [9:08:13<15:51:11, 1.29s/step] Training: 37%|███▋ | 25838/70000 [9:08:15<15:30:47, 1.26s/step] Training: 37%|███▋ | 25839/70000 [9:08:16<15:24:52, 1.26s/step] Training: 37%|███▋ | 25840/70000 [9:08:17<15:17:52, 1.25s/step] Training: 37%|███▋ | 25841/70000 [9:08:18<15:18:38, 1.25s/step] Training: 37%|███▋ | 25842/70000 [9:08:20<15:16:31, 1.25s/step] Training: 37%|███▋ | 25843/70000 [9:08:21<15:37:14, 1.27s/step] Training: 37%|███▋ | 25844/70000 [9:08:22<15:45:48, 1.29s/step] Training: 37%|███▋ | 25845/70000 [9:08:24<16:14:09, 1.32s/step] Training: 37%|███▋ | 25846/70000 [9:08:25<15:44:56, 1.28s/step] Training: 37%|███▋ | 25847/70000 [9:08:26<15:34:42, 1.27s/step] Training: 37%|███▋ | 25848/70000 [9:08:27<15:17:20, 1.25s/step] Training: 37%|███▋ | 25849/70000 [9:08:29<15:09:35, 1.24s/step] Training: 37%|███▋ | 25850/70000 [9:08:30<15:11:21, 1.24s/step] Training: 37%|███▋ | 25851/70000 [9:08:31<15:32:32, 1.27s/step] Training: 37%|███▋ | 25852/70000 [9:08:32<15:41:38, 1.28s/step] Training: 37%|███▋ | 25853/70000 [9:08:34<15:29:47, 1.26s/step] Training: 37%|███▋ | 25854/70000 [9:08:35<15:13:47, 1.24s/step] Training: 37%|███▋ | 25855/70000 [9:08:36<15:04:19, 1.23s/step] Training: 37%|███▋ | 25856/70000 [9:08:37<15:58:28, 1.30s/step] Training: 37%|███▋ | 25857/70000 [9:08:39<16:03:11, 1.31s/step] Training: 37%|███▋ | 25858/70000 [9:08:40<15:41:54, 1.28s/step] Training: 37%|███▋ | 25859/70000 [9:08:41<16:16:56, 1.33s/step] Training: 37%|███▋ | 25860/70000 [9:08:43<15:46:04, 1.29s/step] Training: 37%|███▋ | 25861/70000 [9:08:44<15:57:04, 1.30s/step] Training: 37%|███▋ | 25862/70000 [9:08:45<15:32:38, 1.27s/step] Training: 37%|███▋ | 25863/70000 [9:08:46<15:15:24, 1.24s/step] Training: 37%|███▋ | 25864/70000 [9:08:48<15:55:45, 1.30s/step] Training: 37%|███▋ | 25865/70000 [9:08:49<16:01:59, 1.31s/step] Training: 37%|███▋ | 25866/70000 [9:08:50<16:07:40, 1.32s/step] Training: 37%|███▋ | 25867/70000 [9:08:52<16:10:36, 1.32s/step] Training: 37%|███▋ | 25868/70000 [9:08:53<15:42:21, 1.28s/step] Training: 37%|███▋ | 25869/70000 [9:08:54<15:57:42, 1.30s/step] Training: 37%|███▋ | 25870/70000 [9:08:56<15:33:18, 1.27s/step] Training: 37%|███▋ | 25871/70000 [9:08:57<15:16:28, 1.25s/step] Training: 37%|███▋ | 25872/70000 [9:08:58<15:46:32, 1.29s/step] Training: 37%|███▋ | 25873/70000 [9:08:59<15:23:49, 1.26s/step] Training: 37%|███▋ | 25874/70000 [9:09:01<15:45:04, 1.29s/step] Training: 37%|███▋ | 25875/70000 [9:09:02<16:04:40, 1.31s/step] Training: 37%|███▋ | 25876/70000 [9:09:03<15:37:35, 1.27s/step] Training: 37%|███▋ | 25877/70000 [9:09:04<15:27:54, 1.26s/step] Training: 37%|███▋ | 25878/70000 [9:09:06<15:12:07, 1.24s/step] Training: 37%|███▋ | 25879/70000 [9:09:07<14:59:47, 1.22s/step] Training: 37%|███▋ | 25880/70000 [9:09:08<15:28:41, 1.26s/step] Training: 37%|███▋ | 25881/70000 [9:09:09<15:16:32, 1.25s/step] Training: 37%|███▋ | 25882/70000 [9:09:11<15:21:42, 1.25s/step] Training: 37%|███▋ | 25883/70000 [9:09:12<15:37:18, 1.27s/step] Training: 37%|███▋ | 25884/70000 [9:09:13<15:18:47, 1.25s/step] Training: 37%|███▋ | 25885/70000 [9:09:14<15:08:18, 1.24s/step] Training: 37%|███▋ | 25886/70000 [9:09:16<14:57:29, 1.22s/step] Training: 37%|███▋ | 25887/70000 [9:09:17<14:50:42, 1.21s/step] Training: 37%|███▋ | 25888/70000 [9:09:18<14:46:20, 1.21s/step] Training: 37%|███▋ | 25889/70000 [9:09:19<15:32:21, 1.27s/step] Training: 37%|███▋ | 25890/70000 [9:09:21<15:19:32, 1.25s/step] Training: 37%|███▋ | 25891/70000 [9:09:22<15:57:24, 1.30s/step] Training: 37%|███▋ | 25892/70000 [9:09:23<15:32:05, 1.27s/step] Training: 37%|███▋ | 25893/70000 [9:09:24<15:45:07, 1.29s/step] Training: 37%|███▋ | 25894/70000 [9:09:26<15:23:11, 1.26s/step] Training: 37%|███▋ | 25895/70000 [9:09:27<15:08:39, 1.24s/step] Training: 37%|███▋ | 25896/70000 [9:09:28<15:00:41, 1.23s/step] Training: 37%|███▋ | 25897/70000 [9:09:29<15:49:49, 1.29s/step] Training: 37%|███▋ | 25898/70000 [9:09:31<15:57:45, 1.30s/step] Training: 37%|███▋ | 25899/70000 [9:09:32<16:03:41, 1.31s/step] Training: 37%|███▋ | 25900/70000 [9:09:33<15:36:42, 1.27s/step]INFO 2026-03-13 05:19:25 ot_train.py:435 step:26K smpl:2M ep:6K epch:21.95 loss:0.045 grdn:5.691 lr:1.8e-05 updt_s:1.248 data_s:0.019 Training: 37%|███▋ | 25901/70000 [9:09:35<15:52:27, 1.30s/step] Training: 37%|███▋ | 25902/70000 [9:09:36<15:30:49, 1.27s/step] Training: 37%|███▋ | 25903/70000 [9:09:37<15:12:48, 1.24s/step] Training: 37%|███▋ | 25904/70000 [9:09:38<15:00:49, 1.23s/step] Training: 37%|███▋ | 25905/70000 [9:09:40<15:22:15, 1.25s/step] Training: 37%|███▋ | 25906/70000 [9:09:41<15:39:13, 1.28s/step] Training: 37%|███▋ | 25907/70000 [9:09:42<15:57:47, 1.30s/step] Training: 37%|███▋ | 25908/70000 [9:09:43<15:32:56, 1.27s/step] Training: 37%|███▋ | 25909/70000 [9:09:45<15:46:05, 1.29s/step] Training: 37%|███▋ | 25910/70000 [9:09:46<15:28:36, 1.26s/step] Training: 37%|███▋ | 25911/70000 [9:09:47<15:12:24, 1.24s/step] Training: 37%|███▋ | 25912/70000 [9:09:48<15:01:24, 1.23s/step] Training: 37%|███▋ | 25913/70000 [9:09:50<15:37:48, 1.28s/step] Training: 37%|███▋ | 25914/70000 [9:09:51<15:55:25, 1.30s/step] Training: 37%|███▋ | 25915/70000 [9:09:52<16:01:45, 1.31s/step] Training: 37%|███▋ | 25916/70000 [9:09:54<15:36:00, 1.27s/step] Training: 37%|███▋ | 25917/70000 [9:09:55<15:30:53, 1.27s/step] Training: 37%|███▋ | 25918/70000 [9:09:56<15:13:59, 1.24s/step] Training: 37%|███▋ | 25919/70000 [9:09:57<15:01:46, 1.23s/step] Training: 37%|███▋ | 25920/70000 [9:09:58<14:53:11, 1.22s/step] Training: 37%|███▋ | 25921/70000 [9:10:00<15:18:33, 1.25s/step] Training: 37%|███▋ | 25922/70000 [9:10:01<15:07:59, 1.24s/step] Training: 37%|███▋ | 25923/70000 [9:10:02<15:28:07, 1.26s/step] Training: 37%|███▋ | 25924/70000 [9:10:04<15:11:11, 1.24s/step] Training: 37%|███▋ | 25925/70000 [9:10:05<15:31:20, 1.27s/step] Training: 37%|███▋ | 25926/70000 [9:10:06<15:14:31, 1.24s/step] Training: 37%|███▋ | 25927/70000 [9:10:07<15:04:08, 1.23s/step] Training: 37%|███▋ | 25928/70000 [9:10:08<14:55:57, 1.22s/step] Training: 37%|███▋ | 25929/70000 [9:10:10<15:20:33, 1.25s/step] Training: 37%|███▋ | 25930/70000 [9:10:11<16:00:18, 1.31s/step] Training: 37%|███▋ | 25931/70000 [9:10:13<16:07:42, 1.32s/step] Training: 37%|███▋ | 25932/70000 [9:10:14<15:40:35, 1.28s/step] Training: 37%|███▋ | 25933/70000 [9:10:15<15:50:42, 1.29s/step] Training: 37%|███▋ | 25934/70000 [9:10:16<15:27:45, 1.26s/step] Training: 37%|███▋ | 25935/70000 [9:10:17<15:11:21, 1.24s/step] Training: 37%|███▋ | 25936/70000 [9:10:19<14:59:21, 1.22s/step] Training: 37%|███▋ | 25937/70000 [9:10:20<14:57:48, 1.22s/step] Training: 37%|███▋ | 25938/70000 [9:10:21<15:44:34, 1.29s/step] Training: 37%|███▋ | 25939/70000 [9:10:23<16:03:06, 1.31s/step] Training: 37%|███▋ | 25940/70000 [9:10:24<15:35:25, 1.27s/step] Training: 37%|███▋ | 25941/70000 [9:10:25<15:28:42, 1.26s/step] Training: 37%|███▋ | 25942/70000 [9:10:26<15:11:15, 1.24s/step] Training: 37%|███▋ | 25943/70000 [9:10:27<15:01:03, 1.23s/step] Training: 37%|███▋ | 25944/70000 [9:10:29<14:52:22, 1.22s/step] Training: 37%|███▋ | 25945/70000 [9:10:30<15:20:09, 1.25s/step] Training: 37%|███▋ | 25946/70000 [9:10:31<15:44:32, 1.29s/step] Training: 37%|███▋ | 25947/70000 [9:10:33<15:54:41, 1.30s/step] Training: 37%|███▋ | 25948/70000 [9:10:34<15:29:52, 1.27s/step] Training: 37%|███▋ | 25949/70000 [9:10:35<15:24:50, 1.26s/step] Training: 37%|███▋ | 25950/70000 [9:10:36<15:09:24, 1.24s/step] Training: 37%|███▋ | 25951/70000 [9:10:38<14:59:01, 1.22s/step] Training: 37%|███▋ | 25952/70000 [9:10:39<14:50:25, 1.21s/step] Training: 37%|███▋ | 25953/70000 [9:10:40<15:16:47, 1.25s/step] Training: 37%|███▋ | 25954/70000 [9:10:41<15:07:44, 1.24s/step] Training: 37%|███▋ | 25955/70000 [9:10:43<15:28:11, 1.26s/step] Training: 37%|███▋ | 25956/70000 [9:10:44<15:11:10, 1.24s/step] Training: 37%|███▋ | 25957/70000 [9:10:45<15:34:04, 1.27s/step] Training: 37%|███▋ | 25958/70000 [9:10:46<15:15:15, 1.25s/step] Training: 37%|███▋ | 25959/70000 [9:10:47<15:01:30, 1.23s/step] Training: 37%|███▋ | 25960/70000 [9:10:50<18:17:11, 1.49s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=54710 Training: 37%|███▋ | 25961/70000 [9:10:54<27:51:09, 2.28s/step] Training: 37%|███▋ | 25962/70000 [9:10:55<24:58:18, 2.04s/step] Training: 37%|███▋ | 25963/70000 [9:10:57<22:35:45, 1.85s/step] Training: 37%|███▋ | 25964/70000 [9:10:58<20:11:40, 1.65s/step] Training: 37%|███▋ | 25965/70000 [9:10:59<19:12:06, 1.57s/step] Training: 37%|███▋ | 25966/70000 [9:11:00<17:48:40, 1.46s/step] Training: 37%|███▋ | 25967/70000 [9:11:02<16:49:25, 1.38s/step] Training: 37%|███▋ | 25968/70000 [9:11:03<16:08:21, 1.32s/step] Training: 37%|███▋ | 25969/70000 [9:11:04<15:50:20, 1.30s/step] Training: 37%|███▋ | 25970/70000 [9:11:05<15:58:24, 1.31s/step] Training: 37%|███▋ | 25971/70000 [9:11:07<16:14:31, 1.33s/step] Training: 37%|███▋ | 25972/70000 [9:11:08<15:44:30, 1.29s/step] Training: 37%|███▋ | 25973/70000 [9:11:09<15:32:06, 1.27s/step] Training: 37%|███▋ | 25974/70000 [9:11:10<15:14:21, 1.25s/step] Training: 37%|███▋ | 25975/70000 [9:11:11<15:01:16, 1.23s/step] Training: 37%|███▋ | 25976/70000 [9:11:13<14:52:14, 1.22s/step] Training: 37%|███▋ | 25977/70000 [9:11:14<15:18:29, 1.25s/step] Training: 37%|███▋ | 25978/70000 [9:11:15<15:48:20, 1.29s/step] Training: 37%|███▋ | 25979/70000 [9:11:17<16:24:28, 1.34s/step] Training: 37%|███▋ | 25980/70000 [9:11:18<15:50:56, 1.30s/step] Training: 37%|███▋ | 25981/70000 [9:11:19<15:34:57, 1.27s/step] Training: 37%|███▋ | 25982/70000 [9:11:20<15:17:21, 1.25s/step] Training: 37%|███▋ | 25983/70000 [9:11:22<15:04:28, 1.23s/step] Training: 37%|███▋ | 25984/70000 [9:11:23<14:54:38, 1.22s/step] Training: 37%|███▋ | 25985/70000 [9:11:24<15:17:27, 1.25s/step] Training: 37%|███▋ | 25986/70000 [9:11:25<15:07:41, 1.24s/step] Training: 37%|███▋ | 25987/70000 [9:11:27<15:20:58, 1.26s/step] Training: 37%|███▋ | 25988/70000 [9:11:28<15:34:50, 1.27s/step] Training: 37%|███▋ | 25989/70000 [9:11:29<15:49:58, 1.30s/step] Training: 37%|███▋ | 25990/70000 [9:11:30<15:26:17, 1.26s/step] Training: 37%|███▋ | 25991/70000 [9:11:32<15:09:37, 1.24s/step] Training: 37%|███▋ | 25992/70000 [9:11:33<14:58:05, 1.22s/step] Training: 37%|███▋ | 25993/70000 [9:11:34<15:25:16, 1.26s/step] Training: 37%|███▋ | 25994/70000 [9:11:36<15:42:53, 1.29s/step] Training: 37%|███▋ | 25995/70000 [9:11:37<15:58:38, 1.31s/step] Training: 37%|███▋ | 25996/70000 [9:11:38<16:09:43, 1.32s/step] Training: 37%|███▋ | 25997/70000 [9:11:40<16:11:08, 1.32s/step] Training: 37%|███▋ | 25998/70000 [9:11:41<15:41:10, 1.28s/step] Training: 37%|███▋ | 25999/70000 [9:11:42<15:21:04, 1.26s/step] Training: 37%|███▋ | 26000/70000 [9:11:43<15:06:04, 1.24s/step]INFO 2026-03-13 05:21:35 ot_train.py:435 step:26K smpl:2M ep:6K epch:22.04 loss:0.043 grdn:6.269 lr:1.8e-05 updt_s:1.241 data_s:0.055 Training: 37%|███▋ | 26001/70000 [9:11:44<15:03:55, 1.23s/step] Training: 37%|███▋ | 26002/70000 [9:11:46<15:26:34, 1.26s/step] Training: 37%|███▋ | 26003/70000 [9:11:47<15:48:38, 1.29s/step] Training: 37%|███▋ | 26004/70000 [9:11:48<15:25:51, 1.26s/step] Training: 37%|███▋ | 26005/70000 [9:11:50<15:18:01, 1.25s/step] Training: 37%|███▋ | 26006/70000 [9:11:51<15:04:41, 1.23s/step] Training: 37%|███▋ | 26007/70000 [9:11:52<14:54:37, 1.22s/step] Training: 37%|███▋ | 26008/70000 [9:11:53<14:48:37, 1.21s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=73436 Training: 37%|███▋ | 26009/70000 [9:11:54<15:15:43, 1.25s/step] Training: 37%|███▋ | 26010/70000 [9:11:56<15:39:40, 1.28s/step] Training: 37%|███▋ | 26011/70000 [9:11:57<15:50:47, 1.30s/step] Training: 37%|███▋ | 26012/70000 [9:11:59<16:23:43, 1.34s/step] Training: 37%|███▋ | 26013/70000 [9:12:00<15:55:04, 1.30s/step] Training: 37%|███▋ | 26014/70000 [9:12:01<15:30:19, 1.27s/step] Training: 37%|███▋ | 26015/70000 [9:12:02<15:12:41, 1.25s/step] Training: 37%|███▋ | 26016/70000 [9:12:03<15:00:21, 1.23s/step] Training: 37%|███▋ | 26017/70000 [9:12:05<15:23:52, 1.26s/step] Training: 37%|███▋ | 26018/70000 [9:12:06<15:14:52, 1.25s/step] Training: 37%|███▋ | 26019/70000 [9:12:07<15:07:44, 1.24s/step] Training: 37%|███▋ | 26020/70000 [9:12:09<15:53:02, 1.30s/step] Training: 37%|███▋ | 26021/70000 [9:12:10<15:59:55, 1.31s/step] Training: 37%|███▋ | 26022/70000 [9:12:11<15:33:07, 1.27s/step] Training: 37%|███▋ | 26023/70000 [9:12:12<15:14:29, 1.25s/step] Training: 37%|███▋ | 26024/70000 [9:12:13<15:01:26, 1.23s/step] Training: 37%|███▋ | 26025/70000 [9:12:15<15:24:34, 1.26s/step] Training: 37%|███▋ | 26026/70000 [9:12:16<15:39:49, 1.28s/step] Training: 37%|███▋ | 26027/70000 [9:12:17<15:49:11, 1.30s/step] Training: 37%|███▋ | 26028/70000 [9:12:19<15:54:42, 1.30s/step] Training: 37%|███▋ | 26029/70000 [9:12:20<15:58:44, 1.31s/step] Training: 37%|███▋ | 26030/70000 [9:12:21<15:31:32, 1.27s/step] Training: 37%|███▋ | 26031/70000 [9:12:22<15:13:25, 1.25s/step] Training: 37%|███▋ | 26032/70000 [9:12:24<15:00:40, 1.23s/step] Training: 37%|███▋ | 26033/70000 [9:12:25<15:00:29, 1.23s/step] Training: 37%|███▋ | 26034/70000 [9:12:26<15:24:52, 1.26s/step] Training: 37%|███▋ | 26035/70000 [9:12:28<15:41:27, 1.28s/step] Training: 37%|███▋ | 26036/70000 [9:12:29<15:57:17, 1.31s/step] Training: 37%|███▋ | 26037/70000 [9:12:30<15:37:44, 1.28s/step] Training: 37%|███▋ | 26038/70000 [9:12:31<15:17:19, 1.25s/step] Training: 37%|███▋ | 26039/70000 [9:12:32<15:03:24, 1.23s/step] Training: 37%|███▋ | 26040/70000 [9:12:34<14:54:02, 1.22s/step] Training: 37%|███▋ | 26041/70000 [9:12:35<15:18:28, 1.25s/step] Training: 37%|███▋ | 26042/70000 [9:12:36<15:42:52, 1.29s/step] Training: 37%|███▋ | 26043/70000 [9:12:38<15:53:02, 1.30s/step] Training: 37%|███▋ | 26044/70000 [9:12:39<16:00:47, 1.31s/step] Training: 37%|███▋ | 26045/70000 [9:12:40<15:40:44, 1.28s/step] Training: 37%|███▋ | 26046/70000 [9:12:41<15:19:49, 1.26s/step] Training: 37%|███▋ | 26047/70000 [9:12:43<15:05:49, 1.24s/step] Training: 37%|███▋ | 26048/70000 [9:12:44<14:55:22, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=73436 Training: 37%|███▋ | 26049/70000 [9:12:45<15:22:32, 1.26s/step] Training: 37%|███▋ | 26050/70000 [9:12:46<15:13:33, 1.25s/step] Training: 37%|███▋ | 26051/70000 [9:12:48<15:06:23, 1.24s/step] Training: 37%|███▋ | 26052/70000 [9:12:49<15:32:30, 1.27s/step] Training: 37%|███▋ | 26053/70000 [9:12:50<15:11:59, 1.25s/step] Training: 37%|███▋ | 26054/70000 [9:12:51<15:28:43, 1.27s/step] Training: 37%|███▋ | 26055/70000 [9:12:53<15:15:13, 1.25s/step] Training: 37%|███▋ | 26056/70000 [9:12:54<15:00:36, 1.23s/step] Training: 37%|███▋ | 26057/70000 [9:12:55<15:24:13, 1.26s/step] Training: 37%|███▋ | 26058/70000 [9:12:57<15:39:44, 1.28s/step] Training: 37%|███▋ | 26059/70000 [9:12:58<15:52:10, 1.30s/step] Training: 37%|███▋ | 26060/70000 [9:12:59<15:35:32, 1.28s/step] Training: 37%|███▋ | 26061/70000 [9:13:01<16:13:42, 1.33s/step] Training: 37%|███▋ | 26062/70000 [9:13:02<15:43:28, 1.29s/step] Training: 37%|███▋ | 26063/70000 [9:13:03<15:21:06, 1.26s/step] Training: 37%|███▋ | 26064/70000 [9:13:04<15:06:29, 1.24s/step] Training: 37%|███▋ | 26065/70000 [9:13:05<15:05:54, 1.24s/step] Training: 37%|███▋ | 26066/70000 [9:13:07<15:27:56, 1.27s/step] Training: 37%|███▋ | 26067/70000 [9:13:08<15:41:01, 1.29s/step] Training: 37%|███▋ | 26068/70000 [9:13:09<15:23:25, 1.26s/step] Training: 37%|███▋ | 26069/70000 [9:13:11<15:41:13, 1.29s/step] Training: 37%|███▋ | 26070/70000 [9:13:12<15:17:35, 1.25s/step] Training: 37%|███▋ | 26071/70000 [9:13:13<15:03:05, 1.23s/step] Training: 37%|███▋ | 26072/70000 [9:13:14<14:52:55, 1.22s/step] Training: 37%|███▋ | 26073/70000 [9:13:15<15:16:37, 1.25s/step] Training: 37%|███▋ | 26074/70000 [9:13:17<15:10:43, 1.24s/step] Training: 37%|███▋ | 26075/70000 [9:13:18<15:28:37, 1.27s/step] Training: 37%|███▋ | 26076/70000 [9:13:19<16:00:59, 1.31s/step] Training: 37%|███▋ | 26077/70000 [9:13:21<16:15:07, 1.33s/step] Training: 37%|███▋ | 26078/70000 [9:13:22<15:42:25, 1.29s/step] Training: 37%|███▋ | 26079/70000 [9:13:23<15:20:49, 1.26s/step] Training: 37%|███▋ | 26080/70000 [9:13:24<15:05:43, 1.24s/step] Training: 37%|███▋ | 26081/70000 [9:13:26<15:26:22, 1.27s/step] Training: 37%|███▋ | 26082/70000 [9:13:27<15:18:10, 1.25s/step] Training: 37%|███▋ | 26083/70000 [9:13:28<15:33:32, 1.28s/step] Training: 37%|███▋ | 26084/70000 [9:13:30<16:04:15, 1.32s/step] Training: 37%|███▋ | 26085/70000 [9:13:31<16:06:07, 1.32s/step] Training: 37%|███▋ | 26086/70000 [9:13:32<15:55:03, 1.30s/step] Training: 37%|███▋ | 26087/70000 [9:13:33<15:29:40, 1.27s/step] Training: 37%|███▋ | 26088/70000 [9:13:35<15:11:27, 1.25s/step] Training: 37%|███▋ | 26089/70000 [9:13:36<15:28:55, 1.27s/step] Training: 37%|███▋ | 26090/70000 [9:13:37<15:42:21, 1.29s/step] Training: 37%|███▋ | 26091/70000 [9:13:39<16:11:23, 1.33s/step] Training: 37%|███▋ | 26092/70000 [9:13:40<15:47:12, 1.29s/step] Training: 37%|███▋ | 26093/70000 [9:13:41<16:02:28, 1.32s/step] Training: 37%|███▋ | 26094/70000 [9:13:42<15:34:22, 1.28s/step] Training: 37%|███▋ | 26095/70000 [9:13:44<15:14:15, 1.25s/step] Training: 37%|███▋ | 26096/70000 [9:13:45<15:00:35, 1.23s/step] Training: 37%|███▋ | 26097/70000 [9:13:46<15:00:33, 1.23s/step] Training: 37%|███▋ | 26098/70000 [9:13:47<15:24:05, 1.26s/step] Training: 37%|███▋ | 26099/70000 [9:13:49<15:51:39, 1.30s/step] Training: 37%|███▋ | 26100/70000 [9:13:50<15:31:07, 1.27s/step]INFO 2026-03-13 05:23:42 ot_train.py:435 step:26K smpl:2M ep:6K epch:22.12 loss:0.039 grdn:5.019 lr:1.8e-05 updt_s:1.247 data_s:0.019 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73436 Training: 37%|███▋ | 26101/70000 [9:13:51<15:26:12, 1.27s/step] Training: 37%|███▋ | 26102/70000 [9:13:52<15:07:19, 1.24s/step] Training: 37%|███▋ | 26103/70000 [9:13:54<14:56:03, 1.22s/step] Training: 37%|███▋ | 26104/70000 [9:13:55<14:48:47, 1.21s/step] Training: 37%|███▋ | 26105/70000 [9:13:56<15:13:54, 1.25s/step] Training: 37%|███▋ | 26106/70000 [9:13:57<15:12:18, 1.25s/step] Training: 37%|███▋ | 26107/70000 [9:13:59<15:09:04, 1.24s/step] Training: 37%|███▋ | 26108/70000 [9:14:00<15:25:48, 1.27s/step] Training: 37%|███▋ | 26109/70000 [9:14:01<15:19:26, 1.26s/step] Training: 37%|███▋ | 26110/70000 [9:14:03<15:39:12, 1.28s/step] Training: 37%|███▋ | 26111/70000 [9:14:04<15:16:06, 1.25s/step] Training: 37%|███▋ | 26112/70000 [9:14:05<15:08:14, 1.24s/step] Training: 37%|███▋ | 26113/70000 [9:14:06<15:27:13, 1.27s/step] Training: 37%|███▋ | 26114/70000 [9:14:07<15:14:35, 1.25s/step] Training: 37%|███▋ | 26115/70000 [9:14:09<15:32:35, 1.28s/step] Training: 37%|███▋ | 26116/70000 [9:14:10<15:43:14, 1.29s/step] Training: 37%|███▋ | 26117/70000 [9:14:11<15:20:58, 1.26s/step] Training: 37%|███▋ | 26118/70000 [9:14:13<15:34:51, 1.28s/step] Training: 37%|███▋ | 26119/70000 [9:14:14<15:14:55, 1.25s/step] Training: 37%|███▋ | 26120/70000 [9:14:15<15:00:51, 1.23s/step] Training: 37%|███▋ | 26121/70000 [9:14:16<15:23:00, 1.26s/step] Training: 37%|███▋ | 26122/70000 [9:14:18<15:36:12, 1.28s/step] Training: 37%|███▋ | 26123/70000 [9:14:19<15:47:19, 1.30s/step] Training: 37%|███▋ | 26124/70000 [9:14:20<15:30:09, 1.27s/step] Training: 37%|███▋ | 26125/70000 [9:14:21<15:11:11, 1.25s/step] Training: 37%|███▋ | 26126/70000 [9:14:23<14:58:24, 1.23s/step] Training: 37%|███▋ | 26127/70000 [9:14:24<15:21:19, 1.26s/step] Training: 37%|███▋ | 26128/70000 [9:14:25<15:04:37, 1.24s/step] Training: 37%|███▋ | 26129/70000 [9:14:26<15:03:45, 1.24s/step] Training: 37%|███▋ | 26130/70000 [9:14:28<15:24:04, 1.26s/step] Training: 37%|███▋ | 26131/70000 [9:14:29<15:40:45, 1.29s/step] Training: 37%|███▋ | 26132/70000 [9:14:30<15:23:16, 1.26s/step] Training: 37%|███▋ | 26133/70000 [9:14:31<15:15:42, 1.25s/step] Training: 37%|███▋ | 26134/70000 [9:14:33<15:40:46, 1.29s/step] Training: 37%|███▋ | 26135/70000 [9:14:34<15:17:48, 1.26s/step] Training: 37%|███▋ | 26136/70000 [9:14:35<15:03:50, 1.24s/step] Training: 37%|███▋ | 26137/70000 [9:14:37<15:27:32, 1.27s/step] Training: 37%|███▋ | 26138/70000 [9:14:38<15:40:07, 1.29s/step] Training: 37%|███▋ | 26139/70000 [9:14:39<15:33:50, 1.28s/step] Training: 37%|███▋ | 26140/70000 [9:14:40<15:44:26, 1.29s/step] Training: 37%|███▋ | 26141/70000 [9:14:42<15:26:55, 1.27s/step] Training: 37%|███▋ | 26142/70000 [9:14:43<15:09:37, 1.24s/step] Training: 37%|███▋ | 26143/70000 [9:14:44<15:31:15, 1.27s/step] Training: 37%|███▋ | 26144/70000 [9:14:45<15:11:38, 1.25s/step] Training: 37%|███▋ | 26145/70000 [9:14:47<15:31:46, 1.27s/step] Training: 37%|███▋ | 26146/70000 [9:14:48<15:40:05, 1.29s/step] Training: 37%|███▋ | 26147/70000 [9:14:49<15:49:53, 1.30s/step] Training: 37%|███▋ | 26148/70000 [9:14:51<15:56:36, 1.31s/step] Training: 37%|███▋ | 26149/70000 [9:14:52<16:03:56, 1.32s/step] Training: 37%|███▋ | 26150/70000 [9:14:53<15:35:08, 1.28s/step] Training: 37%|███▋ | 26151/70000 [9:14:55<15:47:44, 1.30s/step] Training: 37%|███▋ | 26152/70000 [9:14:56<15:22:05, 1.26s/step] Training: 37%|███▋ | 26153/70000 [9:14:57<15:38:41, 1.28s/step] Training: 37%|███▋ | 26154/70000 [9:14:59<16:14:32, 1.33s/step] Training: 37%|███▋ | 26155/70000 [9:15:00<16:14:14, 1.33s/step] Training: 37%|███▋ | 26156/70000 [9:15:01<15:51:07, 1.30s/step] Training: 37%|███▋ | 26157/70000 [9:15:02<15:58:49, 1.31s/step] Training: 37%|███▋ | 26158/70000 [9:15:04<15:31:45, 1.28s/step] Training: 37%|███▋ | 26159/70000 [9:15:05<15:13:12, 1.25s/step] Training: 37%|███▋ | 26160/70000 [9:15:06<14:59:34, 1.23s/step] Training: 37%|███▋ | 26161/70000 [9:15:07<14:57:32, 1.23s/step] Training: 37%|███▋ | 26162/70000 [9:15:09<15:41:42, 1.29s/step] Training: 37%|███▋ | 26163/70000 [9:15:10<16:02:22, 1.32s/step] Training: 37%|███▋ | 26164/70000 [9:15:11<15:40:51, 1.29s/step] Training: 37%|███▋ | 26165/70000 [9:15:12<15:27:28, 1.27s/step] Training: 37%|███▋ | 26166/70000 [9:15:14<15:10:12, 1.25s/step] Training: 37%|███▋ | 26167/70000 [9:15:15<15:03:29, 1.24s/step] Training: 37%|███▋ | 26168/70000 [9:15:16<14:53:39, 1.22s/step] Training: 37%|███▋ | 26169/70000 [9:15:17<15:17:15, 1.26s/step] Training: 37%|███▋ | 26170/70000 [9:15:19<15:10:40, 1.25s/step] Training: 37%|███▋ | 26171/70000 [9:15:20<15:11:33, 1.25s/step] Training: 37%|███▋ | 26172/70000 [9:15:21<15:28:50, 1.27s/step] Training: 37%|███▋ | 26173/70000 [9:15:22<15:15:11, 1.25s/step] Training: 37%|███▋ | 26174/70000 [9:15:24<15:01:42, 1.23s/step] Training: 37%|███▋ | 26175/70000 [9:15:25<15:08:00, 1.24s/step] Training: 37%|███▋ | 26176/70000 [9:15:26<14:54:53, 1.23s/step] Training: 37%|███▋ | 26177/70000 [9:15:27<15:16:38, 1.26s/step] Training: 37%|███▋ | 26178/70000 [9:15:29<15:06:00, 1.24s/step] Training: 37%|███▋ | 26179/70000 [9:15:30<15:27:38, 1.27s/step] Training: 37%|███▋ | 26180/70000 [9:15:31<15:46:16, 1.30s/step] Training: 37%|███▋ | 26181/70000 [9:15:33<15:55:13, 1.31s/step] Training: 37%|███▋ | 26182/70000 [9:15:34<15:29:09, 1.27s/step] Training: 37%|███▋ | 26183/70000 [9:15:35<15:11:30, 1.25s/step] Training: 37%|███▋ | 26184/70000 [9:15:36<15:33:22, 1.28s/step] Training: 37%|███▋ | 26185/70000 [9:15:38<15:44:57, 1.29s/step] Training: 37%|███▋ | 26186/70000 [9:15:39<15:56:19, 1.31s/step] Training: 37%|███▋ | 26187/70000 [9:15:40<16:04:37, 1.32s/step] Training: 37%|███▋ | 26188/70000 [9:15:42<15:44:56, 1.29s/step] Training: 37%|███▋ | 26189/70000 [9:15:43<15:53:22, 1.31s/step] Training: 37%|███▋ | 26190/70000 [9:15:44<15:26:54, 1.27s/step] Training: 37%|███▋ | 26191/70000 [9:15:45<15:09:48, 1.25s/step] Training: 37%|███▋ | 26192/70000 [9:15:47<15:13:34, 1.25s/step] Training: 37%|███▋ | 26193/70000 [9:15:48<15:04:39, 1.24s/step] Training: 37%|███▋ | 26194/70000 [9:15:49<15:25:24, 1.27s/step] Training: 37%|███▋ | 26195/70000 [9:15:50<15:49:10, 1.30s/step] Training: 37%|███▋ | 26196/70000 [9:15:52<15:31:05, 1.28s/step] Training: 37%|███▋ | 26197/70000 [9:15:53<15:22:46, 1.26s/step] Training: 37%|███▋ | 26198/70000 [9:15:54<15:06:57, 1.24s/step] Training: 37%|███▋ | 26199/70000 [9:15:55<14:55:28, 1.23s/step] Training: 37%|███▋ | 26200/70000 [9:15:57<14:47:12, 1.22s/step]INFO 2026-03-13 05:25:49 ot_train.py:435 step:26K smpl:2M ep:6K epch:22.21 loss:0.041 grdn:5.310 lr:1.8e-05 updt_s:1.244 data_s:0.019 Training: 37%|███▋ | 26201/70000 [9:15:58<15:35:42, 1.28s/step] Training: 37%|███▋ | 26202/70000 [9:15:59<15:23:15, 1.26s/step] Training: 37%|███▋ | 26203/70000 [9:16:00<15:32:39, 1.28s/step] Training: 37%|███▋ | 26204/70000 [9:16:02<15:44:53, 1.29s/step] Training: 37%|███▋ | 26205/70000 [9:16:03<15:24:07, 1.27s/step] Training: 37%|███▋ | 26206/70000 [9:16:04<15:07:44, 1.24s/step] Training: 37%|███▋ | 26207/70000 [9:16:05<14:56:20, 1.23s/step] Training: 37%|███▋ | 26208/70000 [9:16:07<15:26:12, 1.27s/step] Training: 37%|███▋ | 26209/70000 [9:16:08<15:37:07, 1.28s/step] Training: 37%|███▋ | 26210/70000 [9:16:09<15:45:31, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=61353 Training: 37%|███▋ | 26211/70000 [9:16:11<15:55:05, 1.31s/step] Training: 37%|███▋ | 26212/70000 [9:16:12<15:59:48, 1.32s/step] Training: 37%|███▋ | 26213/70000 [9:16:13<16:01:29, 1.32s/step] Training: 37%|███▋ | 26214/70000 [9:16:15<15:33:34, 1.28s/step] Training: 37%|███▋ | 26215/70000 [9:16:16<15:13:14, 1.25s/step] Training: 37%|███▋ | 26216/70000 [9:16:17<14:59:00, 1.23s/step] Training: 37%|███▋ | 26217/70000 [9:16:18<15:49:11, 1.30s/step] Training: 37%|███▋ | 26218/70000 [9:16:20<15:59:19, 1.31s/step] Training: 37%|███▋ | 26219/70000 [9:16:21<16:06:46, 1.32s/step] Training: 37%|███▋ | 26220/70000 [9:16:22<15:43:46, 1.29s/step] Training: 37%|███▋ | 26221/70000 [9:16:24<15:53:01, 1.31s/step] Training: 37%|███▋ | 26222/70000 [9:16:25<15:26:39, 1.27s/step] Training: 37%|███▋ | 26223/70000 [9:16:26<15:10:24, 1.25s/step] Training: 37%|███▋ | 26224/70000 [9:16:27<14:56:06, 1.23s/step] Training: 37%|███▋ | 26225/70000 [9:16:29<15:22:59, 1.27s/step] Training: 37%|███▋ | 26226/70000 [9:16:30<15:36:09, 1.28s/step] Training: 37%|███▋ | 26227/70000 [9:16:31<15:55:32, 1.31s/step] Training: 37%|███▋ | 26228/70000 [9:16:32<15:34:35, 1.28s/step] Training: 37%|███▋ | 26229/70000 [9:16:34<15:21:30, 1.26s/step] Training: 37%|███▋ | 26230/70000 [9:16:35<15:05:19, 1.24s/step] Training: 37%|███▋ | 26231/70000 [9:16:36<14:53:22, 1.22s/step] Training: 37%|███▋ | 26232/70000 [9:16:37<14:46:03, 1.21s/step] Training: 37%|███▋ | 26233/70000 [9:16:39<15:11:17, 1.25s/step] Training: 37%|███▋ | 26234/70000 [9:16:40<15:05:20, 1.24s/step] Training: 37%|███▋ | 26235/70000 [9:16:41<15:20:11, 1.26s/step] Training: 37%|███▋ | 26236/70000 [9:16:42<15:34:59, 1.28s/step] Training: 37%|███▋ | 26237/70000 [9:16:44<15:19:36, 1.26s/step] Training: 37%|███▋ | 26238/70000 [9:16:45<15:03:35, 1.24s/step] Training: 37%|███▋ | 26239/70000 [9:16:46<14:52:21, 1.22s/step] Training: 37%|███▋ | 26240/70000 [9:16:47<14:44:17, 1.21s/step] Training: 37%|███▋ | 26241/70000 [9:16:49<15:22:25, 1.26s/step] Training: 37%|███▋ | 26242/70000 [9:16:50<15:35:45, 1.28s/step] Training: 37%|███▋ | 26243/70000 [9:16:51<15:46:03, 1.30s/step] Training: 37%|███▋ | 26244/70000 [9:16:53<15:53:21, 1.31s/step] Training: 37%|███▋ | 26245/70000 [9:16:54<15:56:33, 1.31s/step] Training: 37%|███▋ | 26246/70000 [9:16:55<15:29:58, 1.28s/step] Training: 37%|███▋ | 26247/70000 [9:16:56<15:12:20, 1.25s/step] Training: 37%|███▋ | 26248/70000 [9:16:58<14:58:30, 1.23s/step] Training: 37%|███▋ | 26249/70000 [9:16:59<15:12:25, 1.25s/step] Training: 38%|███▊ | 26250/70000 [9:17:00<15:26:55, 1.27s/step] Training: 38%|███▊ | 26251/70000 [9:17:01<15:41:11, 1.29s/step] Training: 38%|███▊ | 26252/70000 [9:17:03<15:28:24, 1.27s/step] Training: 38%|███▊ | 26253/70000 [9:17:04<15:40:35, 1.29s/step] Training: 38%|███▊ | 26254/70000 [9:17:05<15:18:19, 1.26s/step] Training: 38%|███▊ | 26255/70000 [9:17:06<15:02:41, 1.24s/step] Training: 38%|███▊ | 26256/70000 [9:17:08<14:52:16, 1.22s/step] Training: 38%|███▊ | 26257/70000 [9:17:09<14:50:04, 1.22s/step] Training: 38%|███▊ | 26258/70000 [9:17:10<15:41:28, 1.29s/step] Training: 38%|███▊ | 26259/70000 [9:17:12<15:56:44, 1.31s/step] Training: 38%|███▊ | 26260/70000 [9:17:13<15:35:03, 1.28s/step] Training: 38%|███▊ | 26261/70000 [9:17:14<15:23:03, 1.27s/step] Training: 38%|███▊ | 26262/70000 [9:17:15<15:06:59, 1.24s/step] Training: 38%|███▊ | 26263/70000 [9:17:16<14:55:43, 1.23s/step] Training: 38%|███▊ | 26264/70000 [9:17:18<14:48:15, 1.22s/step] Training: 38%|███▊ | 26265/70000 [9:17:19<15:11:05, 1.25s/step] Training: 38%|███▊ | 26266/70000 [9:17:20<15:20:06, 1.26s/step] Training: 38%|███▊ | 26267/70000 [9:17:21<15:15:42, 1.26s/step] Training: 38%|███▊ | 26268/70000 [9:17:23<15:31:56, 1.28s/step] Training: 38%|███▊ | 26269/70000 [9:17:24<15:16:44, 1.26s/step] Training: 38%|███▊ | 26270/70000 [9:17:25<15:03:51, 1.24s/step] Training: 38%|███▊ | 26271/70000 [9:17:26<14:51:16, 1.22s/step] Training: 38%|███▊ | 26272/70000 [9:17:28<14:43:40, 1.21s/step] Training: 38%|███▊ | 26273/70000 [9:17:29<15:08:42, 1.25s/step] Training: 38%|███▊ | 26274/70000 [9:17:30<15:33:17, 1.28s/step] Training: 38%|███▊ | 26275/70000 [9:17:32<15:39:59, 1.29s/step] Training: 38%|███▊ | 26276/70000 [9:17:33<15:51:05, 1.31s/step] Training: 38%|███▊ | 26277/70000 [9:17:34<15:56:13, 1.31s/step] Training: 38%|███▊ | 26278/70000 [9:17:35<15:29:52, 1.28s/step] Training: 38%|███▊ | 26279/70000 [9:17:37<15:13:07, 1.25s/step] Training: 38%|███▊ | 26280/70000 [9:17:38<14:59:25, 1.23s/step] Training: 38%|███▊ | 26281/70000 [9:17:39<14:59:30, 1.23s/step] Training: 38%|███▊ | 26282/70000 [9:17:40<15:28:39, 1.27s/step] Training: 38%|███▊ | 26283/70000 [9:17:42<15:08:12, 1.25s/step] Training: 38%|███▊ | 26284/70000 [9:17:43<15:25:02, 1.27s/step] Training: 38%|███▊ | 26285/70000 [9:17:44<15:37:55, 1.29s/step] Training: 38%|███▊ | 26286/70000 [9:17:45<15:16:18, 1.26s/step] Training: 38%|███▊ | 26287/70000 [9:17:47<15:01:18, 1.24s/step] Training: 38%|███▊ | 26288/70000 [9:17:48<14:50:51, 1.22s/step] Training: 38%|███▊ | 26289/70000 [9:17:49<14:49:36, 1.22s/step] Training: 38%|███▊ | 26290/70000 [9:17:50<15:15:42, 1.26s/step] Training: 38%|███▊ | 26291/70000 [9:17:52<15:56:55, 1.31s/step] Training: 38%|███▊ | 26292/70000 [9:17:53<15:56:19, 1.31s/step] Training: 38%|███▊ | 26293/70000 [9:17:54<15:37:56, 1.29s/step] Training: 38%|███▊ | 26294/70000 [9:17:56<15:17:24, 1.26s/step] Training: 38%|███▊ | 26295/70000 [9:17:57<15:01:12, 1.24s/step] Training: 38%|███▊ | 26296/70000 [9:17:58<14:50:58, 1.22s/step] Training: 38%|███▊ | 26297/70000 [9:17:59<15:15:41, 1.26s/step] Training: 38%|███▊ | 26298/70000 [9:18:01<15:12:54, 1.25s/step] Training: 38%|███▊ | 26299/70000 [9:18:02<15:54:45, 1.31s/step] Training: 38%|███▊ | 26300/70000 [9:18:03<15:59:53, 1.32s/step]INFO 2026-03-13 05:27:55 ot_train.py:435 step:26K smpl:2M ep:6K epch:22.29 loss:0.038 grdn:5.659 lr:1.8e-05 updt_s:1.247 data_s:0.019 Training: 38%|███▊ | 26301/70000 [9:18:05<15:34:10, 1.28s/step] Training: 38%|███▊ | 26302/70000 [9:18:06<15:14:18, 1.26s/step] Training: 38%|███▊ | 26303/70000 [9:18:07<14:59:59, 1.24s/step] Training: 38%|███▊ | 26304/70000 [9:18:08<14:50:56, 1.22s/step] Training: 38%|███▊ | 26305/70000 [9:18:09<15:15:27, 1.26s/step] Training: 38%|███▊ | 26306/70000 [9:18:11<15:30:34, 1.28s/step] Training: 38%|███▊ | 26307/70000 [9:18:12<15:43:05, 1.30s/step] Training: 38%|███▊ | 26308/70000 [9:18:14<16:09:12, 1.33s/step] Training: 38%|███▊ | 26309/70000 [9:18:15<15:38:17, 1.29s/step] Training: 38%|███▊ | 26310/70000 [9:18:16<15:44:49, 1.30s/step] Training: 38%|███▊ | 26311/70000 [9:18:17<15:22:28, 1.27s/step] Training: 38%|███▊ | 26312/70000 [9:18:18<15:04:49, 1.24s/step] Training: 38%|███▊ | 26313/70000 [9:18:20<15:02:49, 1.24s/step] Training: 38%|███▊ | 26314/70000 [9:18:21<15:22:23, 1.27s/step] Training: 38%|███▊ | 26315/70000 [9:18:22<15:43:42, 1.30s/step] Training: 38%|███▊ | 26316/70000 [9:18:24<15:57:26, 1.32s/step] Training: 38%|███▊ | 26317/70000 [9:18:25<15:30:06, 1.28s/step] Training: 38%|███▊ | 26318/70000 [9:18:26<15:10:22, 1.25s/step] Training: 38%|███▊ | 26319/70000 [9:18:27<14:56:45, 1.23s/step] Training: 38%|███▊ | 26320/70000 [9:18:28<14:46:55, 1.22s/step] Training: 38%|███▊ | 26321/70000 [9:18:30<14:46:48, 1.22s/step] Training: 38%|███▊ | 26322/70000 [9:18:31<15:12:31, 1.25s/step] Training: 38%|███▊ | 26323/70000 [9:18:32<15:31:03, 1.28s/step] Training: 38%|███▊ | 26324/70000 [9:18:34<15:16:23, 1.26s/step] Training: 38%|███▊ | 26325/70000 [9:18:35<15:09:18, 1.25s/step] Training: 38%|███▊ | 26326/70000 [9:18:36<14:56:23, 1.23s/step] Training: 38%|███▊ | 26327/70000 [9:18:37<14:46:42, 1.22s/step] Training: 38%|███▊ | 26328/70000 [9:18:38<14:39:52, 1.21s/step] Training: 38%|███▊ | 26329/70000 [9:18:40<15:07:53, 1.25s/step] Training: 38%|███▊ | 26330/70000 [9:18:41<15:08:17, 1.25s/step] Training: 38%|███▊ | 26331/70000 [9:18:42<14:59:34, 1.24s/step] Training: 38%|███▊ | 26332/70000 [9:18:44<15:46:24, 1.30s/step] Training: 38%|███▊ | 26333/70000 [9:18:45<15:25:44, 1.27s/step] Training: 38%|███▊ | 26334/70000 [9:18:46<15:07:38, 1.25s/step] Training: 38%|███▊ | 26335/70000 [9:18:47<14:55:18, 1.23s/step] Training: 38%|███▊ | 26336/70000 [9:18:48<14:46:22, 1.22s/step] Training: 38%|███▊ | 26337/70000 [9:18:50<15:11:30, 1.25s/step] Training: 38%|███▊ | 26338/70000 [9:18:51<15:26:33, 1.27s/step] Training: 38%|███▊ | 26339/70000 [9:18:52<15:17:21, 1.26s/step] Training: 38%|███▊ | 26340/70000 [9:18:54<15:54:13, 1.31s/step] Training: 38%|███▊ | 26341/70000 [9:18:55<15:57:52, 1.32s/step] Training: 38%|███▊ | 26342/70000 [9:18:56<15:30:06, 1.28s/step] Training: 38%|███▊ | 26343/70000 [9:18:57<15:11:22, 1.25s/step] Training: 38%|███▊ | 26344/70000 [9:18:59<14:58:00, 1.23s/step] Training: 38%|███▊ | 26345/70000 [9:19:00<14:57:10, 1.23s/step] Training: 38%|███▊ | 26346/70000 [9:19:01<15:17:04, 1.26s/step] Training: 38%|███▊ | 26347/70000 [9:19:02<15:02:28, 1.24s/step] Training: 38%|███▊ | 26348/70000 [9:19:04<15:45:49, 1.30s/step] Training: 38%|███▊ | 26349/70000 [9:19:05<15:51:21, 1.31s/step] Training: 38%|███▊ | 26350/70000 [9:19:06<15:25:20, 1.27s/step] Training: 38%|███▊ | 26351/70000 [9:19:07<15:07:21, 1.25s/step] Training: 38%|███▊ | 26352/70000 [9:19:09<14:54:15, 1.23s/step] Training: 38%|███▊ | 26353/70000 [9:19:10<14:50:44, 1.22s/step] Training: 38%|███▊ | 26354/70000 [9:19:11<15:14:27, 1.26s/step] Training: 38%|███▊ | 26355/70000 [9:19:13<15:31:21, 1.28s/step] Training: 38%|███▊ | 26356/70000 [9:19:14<15:18:15, 1.26s/step] Training: 38%|███▊ | 26357/70000 [9:19:15<15:35:59, 1.29s/step] Training: 38%|███▊ | 26358/70000 [9:19:16<15:12:34, 1.25s/step] Training: 38%|███▊ | 26359/70000 [9:19:17<14:58:41, 1.24s/step] Training: 38%|███▊ | 26360/70000 [9:19:19<14:48:03, 1.22s/step] Training: 38%|███▊ | 26361/70000 [9:19:20<15:12:33, 1.25s/step] Training: 38%|███▊ | 26362/70000 [9:19:21<15:08:54, 1.25s/step] Training: 38%|███▊ | 26363/70000 [9:19:23<15:26:32, 1.27s/step] Training: 38%|███▊ | 26364/70000 [9:19:24<15:39:15, 1.29s/step] Training: 38%|███▊ | 26365/70000 [9:19:25<16:08:32, 1.33s/step] Training: 38%|███▊ | 26366/70000 [9:19:27<15:35:28, 1.29s/step] Training: 38%|███▊ | 26367/70000 [9:19:28<15:13:00, 1.26s/step] Training: 38%|███▊ | 26368/70000 [9:19:29<14:58:01, 1.23s/step] Training: 38%|███▊ | 26369/70000 [9:19:30<15:18:02, 1.26s/step] Training: 38%|███▊ | 26370/70000 [9:19:32<15:33:23, 1.28s/step] Training: 38%|███▊ | 26371/70000 [9:19:33<15:17:24, 1.26s/step] Training: 38%|███▊ | 26372/70000 [9:19:34<15:32:39, 1.28s/step] Training: 38%|███▊ | 26373/70000 [9:19:35<15:43:42, 1.30s/step] Training: 38%|███▊ | 26374/70000 [9:19:37<15:19:22, 1.26s/step] Training: 38%|███▊ | 26375/70000 [9:19:38<15:02:38, 1.24s/step] Training: 38%|███▊ | 26376/70000 [9:19:39<14:50:49, 1.23s/step] Training: 38%|███▊ | 26377/70000 [9:19:40<14:55:30, 1.23s/step] Training: 38%|███▊ | 26378/70000 [9:19:42<15:17:18, 1.26s/step] Training: 38%|███▊ | 26379/70000 [9:19:43<15:33:36, 1.28s/step] Training: 38%|███▊ | 26380/70000 [9:19:44<15:50:19, 1.31s/step] Training: 38%|███▊ | 26381/70000 [9:19:46<16:22:23, 1.35s/step] Training: 38%|███▊ | 26382/70000 [9:19:47<15:47:53, 1.30s/step] Training: 38%|███▊ | 26383/70000 [9:19:48<15:22:15, 1.27s/step] Training: 38%|███▊ | 26384/70000 [9:19:49<15:04:58, 1.24s/step] Training: 38%|███▊ | 26385/70000 [9:19:50<14:57:19, 1.23s/step] Training: 38%|███▊ | 26386/70000 [9:19:52<15:19:24, 1.26s/step] Training: 38%|███▊ | 26387/70000 [9:19:53<15:33:13, 1.28s/step] Training: 38%|███▊ | 26388/70000 [9:19:54<15:18:05, 1.26s/step] Training: 38%|███▊ | 26389/70000 [9:19:56<15:28:00, 1.28s/step] Training: 38%|███▊ | 26390/70000 [9:19:57<15:06:33, 1.25s/step] Training: 38%|███▊ | 26391/70000 [9:19:58<14:54:46, 1.23s/step] Training: 38%|███▊ | 26392/70000 [9:19:59<14:44:55, 1.22s/step] Training: 38%|███▊ | 26393/70000 [9:20:01<15:07:27, 1.25s/step] Training: 38%|███▊ | 26394/70000 [9:20:02<15:07:32, 1.25s/step] Training: 38%|███▊ | 26395/70000 [9:20:03<15:04:12, 1.24s/step] Training: 38%|███▊ | 26396/70000 [9:20:04<15:22:37, 1.27s/step] Training: 38%|███▊ | 26397/70000 [9:20:06<15:10:22, 1.25s/step] Training: 38%|███▊ | 26398/70000 [9:20:07<15:30:09, 1.28s/step] Training: 38%|███▊ | 26399/70000 [9:20:08<15:10:20, 1.25s/step] Training: 38%|███▊ | 26400/70000 [9:20:09<14:54:49, 1.23s/step]INFO 2026-03-13 05:30:01 ot_train.py:435 step:26K smpl:2M ep:6K epch:22.38 loss:0.040 grdn:6.396 lr:1.8e-05 updt_s:1.238 data_s:0.019 Training: 38%|███▊ | 26401/70000 [9:20:11<15:18:22, 1.26s/step] Training: 38%|███▊ | 26402/70000 [9:20:12<15:34:42, 1.29s/step] Training: 38%|███▊ | 26403/70000 [9:20:13<15:19:42, 1.27s/step] Training: 38%|███▊ | 26404/70000 [9:20:15<15:34:40, 1.29s/step] Training: 38%|███▊ | 26405/70000 [9:20:16<15:43:09, 1.30s/step] Training: 38%|███▊ | 26406/70000 [9:20:17<15:34:15, 1.29s/step] Training: 38%|███▊ | 26407/70000 [9:20:18<15:13:41, 1.26s/step] Training: 38%|███▊ | 26408/70000 [9:20:19<14:58:28, 1.24s/step] Training: 38%|███▊ | 26409/70000 [9:20:21<14:51:04, 1.23s/step] Training: 38%|███▊ | 26410/70000 [9:20:22<15:12:20, 1.26s/step] Training: 38%|███▊ | 26411/70000 [9:20:23<15:29:14, 1.28s/step] Training: 38%|███▊ | 26412/70000 [9:20:25<15:47:20, 1.30s/step] Training: 38%|███▊ | 26413/70000 [9:20:26<15:50:41, 1.31s/step] Training: 38%|███▊ | 26414/70000 [9:20:27<15:24:32, 1.27s/step] Training: 38%|███▊ | 26415/70000 [9:20:29<15:39:08, 1.29s/step] Training: 38%|███▊ | 26416/70000 [9:20:30<15:14:19, 1.26s/step] Training: 38%|███▊ | 26417/70000 [9:20:31<15:07:24, 1.25s/step] Training: 38%|███▊ | 26418/70000 [9:20:32<15:25:06, 1.27s/step] Training: 38%|███▊ | 26419/70000 [9:20:34<15:38:34, 1.29s/step] Training: 38%|███▊ | 26420/70000 [9:20:35<15:20:58, 1.27s/step] Training: 38%|███▊ | 26421/70000 [9:20:36<15:12:17, 1.26s/step] Training: 38%|███▊ | 26422/70000 [9:20:37<15:35:17, 1.29s/step] Training: 38%|███▊ | 26423/70000 [9:20:39<15:12:59, 1.26s/step] Training: 38%|███▊ | 26424/70000 [9:20:40<14:57:13, 1.24s/step] Training: 38%|███▊ | 26425/70000 [9:20:41<14:46:18, 1.22s/step] Training: 38%|███▊ | 26426/70000 [9:20:42<15:09:46, 1.25s/step] Training: 38%|███▊ | 26427/70000 [9:20:44<15:06:08, 1.25s/step] Training: 38%|███▊ | 26428/70000 [9:20:45<15:23:00, 1.27s/step] Training: 38%|███▊ | 26429/70000 [9:20:46<15:11:55, 1.26s/step] Training: 38%|███▊ | 26430/70000 [9:20:47<14:57:08, 1.24s/step] Training: 38%|███▊ | 26431/70000 [9:20:49<15:21:44, 1.27s/step] Training: 38%|███▊ | 26432/70000 [9:20:50<15:02:09, 1.24s/step] Training: 38%|███▊ | 26433/70000 [9:20:51<14:50:43, 1.23s/step] Training: 38%|███▊ | 26434/70000 [9:20:52<15:12:53, 1.26s/step] Training: 38%|███▊ | 26435/70000 [9:20:54<15:02:48, 1.24s/step] Training: 38%|███▊ | 26436/70000 [9:20:55<15:23:00, 1.27s/step] Training: 38%|███▊ | 26437/70000 [9:20:56<15:35:59, 1.29s/step] Training: 38%|███▊ | 26438/70000 [9:20:57<15:13:56, 1.26s/step] Training: 38%|███▊ | 26439/70000 [9:20:59<15:32:16, 1.28s/step] Training: 38%|███▊ | 26440/70000 [9:21:00<15:09:18, 1.25s/step] Training: 38%|███▊ | 26441/70000 [9:21:01<15:04:38, 1.25s/step] Training: 38%|███▊ | 26442/70000 [9:21:02<15:22:41, 1.27s/step] Training: 38%|███▊ | 26443/70000 [9:21:04<15:34:22, 1.29s/step] Training: 38%|███▊ | 26444/70000 [9:21:05<15:50:26, 1.31s/step] Training: 38%|███▊ | 26445/70000 [9:21:06<15:52:59, 1.31s/step] Training: 38%|███▊ | 26446/70000 [9:21:08<15:25:54, 1.28s/step] Training: 38%|███▊ | 26447/70000 [9:21:09<15:08:27, 1.25s/step] Training: 38%|███▊ | 26448/70000 [9:21:10<14:53:28, 1.23s/step] Training: 38%|███▊ | 26449/70000 [9:21:11<14:49:18, 1.23s/step] Training: 38%|███▊ | 26450/70000 [9:21:13<15:12:33, 1.26s/step] Training: 38%|███▊ | 26451/70000 [9:21:14<15:29:58, 1.28s/step] Training: 38%|███▊ | 26452/70000 [9:21:15<15:16:18, 1.26s/step] Training: 38%|███▊ | 26453/70000 [9:21:16<15:09:16, 1.25s/step] Training: 38%|███▊ | 26454/70000 [9:21:18<14:55:31, 1.23s/step] Training: 38%|███▊ | 26455/70000 [9:21:19<15:01:52, 1.24s/step] Training: 38%|███▊ | 26456/70000 [9:21:20<14:48:33, 1.22s/step] Training: 38%|███▊ | 26457/70000 [9:21:21<15:10:52, 1.26s/step] Training: 38%|███▊ | 26458/70000 [9:21:23<15:09:28, 1.25s/step] Training: 38%|███▊ | 26459/70000 [9:21:24<15:04:34, 1.25s/step] Training: 38%|███▊ | 26460/70000 [9:21:25<15:22:07, 1.27s/step] Training: 38%|███▊ | 26461/70000 [9:21:26<15:08:03, 1.25s/step] Training: 38%|███▊ | 26462/70000 [9:21:28<14:55:54, 1.23s/step] Training: 38%|███▊ | 26463/70000 [9:21:29<14:57:17, 1.24s/step] Training: 38%|███▊ | 26464/70000 [9:21:30<14:45:53, 1.22s/step] Training: 38%|███▊ | 26465/70000 [9:21:31<15:09:40, 1.25s/step] Training: 38%|███▊ | 26466/70000 [9:21:33<15:28:15, 1.28s/step] Training: 38%|███▊ | 26467/70000 [9:21:34<15:11:43, 1.26s/step] Training: 38%|███▊ | 26468/70000 [9:21:35<15:26:43, 1.28s/step] Training: 38%|███▊ | 26469/70000 [9:21:36<15:36:40, 1.29s/step] Training: 38%|███▊ | 26470/70000 [9:21:38<15:13:44, 1.26s/step] Training: 38%|███▊ | 26471/70000 [9:21:39<14:58:13, 1.24s/step] Training: 38%|███▊ | 26472/70000 [9:21:40<15:21:57, 1.27s/step] Training: 38%|███▊ | 26473/70000 [9:21:41<15:12:10, 1.26s/step] Training: 38%|███▊ | 26474/70000 [9:21:43<15:27:21, 1.28s/step] Training: 38%|███▊ | 26475/70000 [9:21:44<15:39:22, 1.29s/step] Training: 38%|███▊ | 26476/70000 [9:21:45<15:53:45, 1.31s/step] Training: 38%|███▊ | 26477/70000 [9:21:47<15:56:59, 1.32s/step] Training: 38%|███▊ | 26478/70000 [9:21:48<15:28:20, 1.28s/step] Training: 38%|███▊ | 26479/70000 [9:21:49<15:08:30, 1.25s/step] Training: 38%|███▊ | 26480/70000 [9:21:50<15:12:36, 1.26s/step] Training: 38%|███▊ | 26481/70000 [9:21:52<15:00:16, 1.24s/step] Training: 38%|███▊ | 26482/70000 [9:21:53<15:19:11, 1.27s/step] Training: 38%|███▊ | 26483/70000 [9:21:54<15:33:20, 1.29s/step] Training: 38%|███▊ | 26484/70000 [9:21:56<15:18:54, 1.27s/step] Training: 38%|███▊ | 26485/70000 [9:21:57<15:13:12, 1.26s/step] Training: 38%|███▊ | 26486/70000 [9:21:58<14:56:15, 1.24s/step] Training: 38%|███▊ | 26487/70000 [9:21:59<14:46:08, 1.22s/step] Training: 38%|███▊ | 26488/70000 [9:22:00<14:38:26, 1.21s/step] Training: 38%|███▊ | 26489/70000 [9:22:02<15:31:40, 1.28s/step] Training: 38%|███▊ | 26490/70000 [9:22:03<15:21:40, 1.27s/step] Training: 38%|███▊ | 26491/70000 [9:22:04<15:13:21, 1.26s/step] Training: 38%|███▊ | 26492/70000 [9:22:06<15:30:02, 1.28s/step] Training: 38%|███▊ | 26493/70000 [9:22:07<15:14:38, 1.26s/step] Training: 38%|███▊ | 26494/70000 [9:22:08<15:00:48, 1.24s/step] Training: 38%|███▊ | 26495/70000 [9:22:09<14:48:44, 1.23s/step] Training: 38%|███▊ | 26496/70000 [9:22:11<15:17:04, 1.26s/step] Training: 38%|███▊ | 26497/70000 [9:22:12<14:59:39, 1.24s/step] Training: 38%|███▊ | 26498/70000 [9:22:13<15:35:16, 1.29s/step] Training: 38%|███▊ | 26499/70000 [9:22:14<15:17:26, 1.27s/step] Training: 38%|███▊ | 26500/70000 [9:22:16<15:30:53, 1.28s/step]INFO 2026-03-13 05:32:08 ot_train.py:435 step:26K smpl:2M ep:6K epch:22.46 loss:0.040 grdn:5.311 lr:1.7e-05 updt_s:1.243 data_s:0.019 Training: 38%|███▊ | 26501/70000 [9:22:17<15:41:48, 1.30s/step] Training: 38%|███▊ | 26502/70000 [9:22:18<15:17:26, 1.27s/step] Training: 38%|███▊ | 26503/70000 [9:22:19<15:00:45, 1.24s/step] Training: 38%|███▊ | 26504/70000 [9:22:21<14:49:38, 1.23s/step] Training: 38%|███▊ | 26505/70000 [9:22:22<15:13:30, 1.26s/step] Training: 38%|███▊ | 26506/70000 [9:22:23<15:52:19, 1.31s/step] Training: 38%|███▊ | 26507/70000 [9:22:25<15:24:31, 1.28s/step] Training: 38%|███▊ | 26508/70000 [9:22:26<16:00:13, 1.32s/step] Training: 38%|███▊ | 26509/70000 [9:22:27<15:59:52, 1.32s/step] Training: 38%|███▊ | 26510/70000 [9:22:28<15:30:21, 1.28s/step] Training: 38%|███▊ | 26511/70000 [9:22:30<15:09:48, 1.26s/step] Training: 38%|███▊ | 26512/70000 [9:22:31<14:55:04, 1.23s/step] Training: 38%|███▊ | 26513/70000 [9:22:32<15:18:36, 1.27s/step] Training: 38%|███▊ | 26514/70000 [9:22:34<15:29:57, 1.28s/step] Training: 38%|███▊ | 26515/70000 [9:22:35<15:41:45, 1.30s/step] Training: 38%|███▊ | 26516/70000 [9:22:36<15:20:24, 1.27s/step] Training: 38%|███▊ | 26517/70000 [9:22:37<15:12:12, 1.26s/step] Training: 38%|███▊ | 26518/70000 [9:22:38<14:56:31, 1.24s/step] Training: 38%|███▊ | 26519/70000 [9:22:40<14:46:10, 1.22s/step] Training: 38%|███▊ | 26520/70000 [9:22:41<14:38:43, 1.21s/step] Training: 38%|███▊ | 26521/70000 [9:22:42<14:32:57, 1.20s/step] Training: 38%|███▊ | 26522/70000 [9:22:43<14:41:42, 1.22s/step] Training: 38%|███▊ | 26523/70000 [9:22:44<14:39:41, 1.21s/step] Training: 38%|███▊ | 26524/70000 [9:22:46<15:07:04, 1.25s/step] Training: 38%|███▊ | 26525/70000 [9:22:47<14:59:11, 1.24s/step] Training: 38%|███▊ | 26526/70000 [9:22:48<14:47:43, 1.23s/step] Training: 38%|███▊ | 26527/70000 [9:22:49<14:40:06, 1.21s/step] Training: 38%|███▊ | 26528/70000 [9:22:51<14:34:43, 1.21s/step] Training: 38%|███▊ | 26529/70000 [9:22:52<14:43:44, 1.22s/step] Training: 38%|███▊ | 26530/70000 [9:22:53<15:06:22, 1.25s/step] Training: 38%|███▊ | 26531/70000 [9:22:54<15:00:33, 1.24s/step] Training: 38%|███▊ | 26532/70000 [9:22:56<15:19:12, 1.27s/step] Training: 38%|███▊ | 26533/70000 [9:22:57<15:33:10, 1.29s/step] Training: 38%|███▊ | 26534/70000 [9:22:58<15:12:01, 1.26s/step] Training: 38%|███▊ | 26535/70000 [9:22:59<14:57:01, 1.24s/step] Training: 38%|███▊ | 26536/70000 [9:23:01<14:46:20, 1.22s/step] Training: 38%|███▊ | 26537/70000 [9:23:02<14:50:47, 1.23s/step] Training: 38%|███▊ | 26538/70000 [9:23:03<15:12:08, 1.26s/step] Training: 38%|███▊ | 26539/70000 [9:23:04<14:57:13, 1.24s/step] Training: 38%|███▊ | 26540/70000 [9:23:06<15:40:08, 1.30s/step] Training: 38%|███▊ | 26541/70000 [9:23:07<15:46:56, 1.31s/step] Training: 38%|███▊ | 26542/70000 [9:23:08<15:21:04, 1.27s/step] Training: 38%|███▊ | 26543/70000 [9:23:10<15:06:00, 1.25s/step] Training: 38%|███▊ | 26544/70000 [9:23:11<14:51:15, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=67857 Training: 38%|███▊ | 26545/70000 [9:23:12<14:42:31, 1.22s/step] Training: 38%|███▊ | 26546/70000 [9:23:13<15:32:46, 1.29s/step] Training: 38%|███▊ | 26547/70000 [9:23:15<15:43:24, 1.30s/step] Training: 38%|███▊ | 26548/70000 [9:23:16<15:23:11, 1.27s/step] Training: 38%|███▊ | 26549/70000 [9:23:17<15:12:31, 1.26s/step] Training: 38%|███▊ | 26550/70000 [9:23:18<14:57:13, 1.24s/step] Training: 38%|███▊ | 26551/70000 [9:23:20<14:47:24, 1.23s/step] Training: 38%|███▊ | 26552/70000 [9:23:21<14:38:59, 1.21s/step] Training: 38%|███▊ | 26553/70000 [9:23:22<14:33:48, 1.21s/step] Training: 38%|███▊ | 26554/70000 [9:23:23<15:21:48, 1.27s/step] Training: 38%|███▊ | 26555/70000 [9:23:25<15:08:54, 1.26s/step] Training: 38%|███▊ | 26556/70000 [9:23:26<15:26:19, 1.28s/step] Training: 38%|███▊ | 26557/70000 [9:23:27<15:12:41, 1.26s/step] Training: 38%|███▊ | 26558/70000 [9:23:28<14:57:03, 1.24s/step] Training: 38%|███▊ | 26559/70000 [9:23:29<14:46:07, 1.22s/step] Training: 38%|███▊ | 26560/70000 [9:23:31<14:38:39, 1.21s/step] Training: 38%|███▊ | 26561/70000 [9:23:32<14:34:29, 1.21s/step] Training: 38%|███▊ | 26562/70000 [9:23:33<15:02:26, 1.25s/step] Training: 38%|███▊ | 26563/70000 [9:23:34<14:59:08, 1.24s/step] Training: 38%|███▊ | 26564/70000 [9:23:36<15:16:01, 1.27s/step] Training: 38%|███▊ | 26565/70000 [9:23:37<15:30:16, 1.29s/step] Training: 38%|███▊ | 26566/70000 [9:23:38<15:09:43, 1.26s/step] Training: 38%|███▊ | 26567/70000 [9:23:39<14:54:21, 1.24s/step] Training: 38%|███▊ | 26568/70000 [9:23:41<14:43:34, 1.22s/step] Training: 38%|███▊ | 26569/70000 [9:23:42<14:37:07, 1.21s/step] Training: 38%|███▊ | 26570/70000 [9:23:43<15:07:41, 1.25s/step] Training: 38%|███▊ | 26571/70000 [9:23:45<15:20:22, 1.27s/step] Training: 38%|███▊ | 26572/70000 [9:23:46<15:55:40, 1.32s/step] Training: 38%|███▊ | 26573/70000 [9:23:47<15:56:13, 1.32s/step] Training: 38%|███▊ | 26574/70000 [9:23:48<15:27:20, 1.28s/step] Training: 38%|███▊ | 26575/70000 [9:23:50<15:06:59, 1.25s/step] Training: 38%|███▊ | 26576/70000 [9:23:51<14:53:23, 1.23s/step] Training: 38%|███▊ | 26577/70000 [9:23:52<14:43:46, 1.22s/step] Training: 38%|███▊ | 26578/70000 [9:23:53<15:07:07, 1.25s/step] Training: 38%|███▊ | 26579/70000 [9:23:55<15:47:40, 1.31s/step] Training: 38%|███▊ | 26580/70000 [9:23:56<15:24:20, 1.28s/step] Training: 38%|███▊ | 26581/70000 [9:23:57<15:15:37, 1.27s/step] Training: 38%|███▊ | 26582/70000 [9:23:58<15:00:07, 1.24s/step] Training: 38%|███▊ | 26583/70000 [9:24:00<14:47:47, 1.23s/step] Training: 38%|███▊ | 26584/70000 [9:24:01<14:39:38, 1.22s/step] Training: 38%|███▊ | 26585/70000 [9:24:02<14:33:47, 1.21s/step] Training: 38%|███▊ | 26586/70000 [9:24:03<15:09:03, 1.26s/step] Training: 38%|███▊ | 26587/70000 [9:24:05<15:32:15, 1.29s/step] Training: 38%|███▊ | 26588/70000 [9:24:06<15:38:59, 1.30s/step] Training: 38%|███▊ | 26589/70000 [9:24:07<15:22:22, 1.27s/step] Training: 38%|███▊ | 26590/70000 [9:24:08<15:03:14, 1.25s/step] Training: 38%|███▊ | 26591/70000 [9:24:10<14:50:16, 1.23s/step] Training: 38%|███▊ | 26592/70000 [9:24:11<14:42:08, 1.22s/step] Training: 38%|███▊ | 26593/70000 [9:24:12<14:35:27, 1.21s/step] Training: 38%|███▊ | 26594/70000 [9:24:13<14:36:46, 1.21s/step] Training: 38%|███▊ | 26595/70000 [9:24:15<15:04:03, 1.25s/step] Training: 38%|███▊ | 26596/70000 [9:24:16<15:18:00, 1.27s/step] Training: 38%|███▊ | 26597/70000 [9:24:17<15:32:38, 1.29s/step] Training: 38%|███▊ | 26598/70000 [9:24:18<15:10:39, 1.26s/step] Training: 38%|███▊ | 26599/70000 [9:24:20<14:56:13, 1.24s/step] Training: 38%|███▊ | 26600/70000 [9:24:21<14:45:58, 1.22s/step]INFO 2026-03-13 05:34:13 ot_train.py:435 step:27K smpl:2M ep:6K epch:22.55 loss:0.041 grdn:5.491 lr:1.7e-05 updt_s:1.231 data_s:0.019 Training: 38%|███▊ | 26601/70000 [9:24:22<14:38:38, 1.21s/step] Training: 38%|███▊ | 26602/70000 [9:24:23<15:03:58, 1.25s/step] Training: 38%|███▊ | 26603/70000 [9:24:25<15:27:51, 1.28s/step] Training: 38%|███▊ | 26604/70000 [9:24:26<15:49:34, 1.31s/step] Training: 38%|███▊ | 26605/70000 [9:24:27<15:52:46, 1.32s/step] Training: 38%|███▊ | 26606/70000 [9:24:29<15:24:53, 1.28s/step] Training: 38%|███▊ | 26607/70000 [9:24:30<15:05:03, 1.25s/step] Training: 38%|███▊ | 26608/70000 [9:24:31<14:51:55, 1.23s/step] Training: 38%|███▊ | 26609/70000 [9:24:32<14:42:37, 1.22s/step] Training: 38%|███▊ | 26610/70000 [9:24:33<15:08:22, 1.26s/step] Training: 38%|███▊ | 26611/70000 [9:24:35<15:23:54, 1.28s/step] Training: 38%|███▊ | 26612/70000 [9:24:36<15:40:56, 1.30s/step] Training: 38%|███▊ | 26613/70000 [9:24:37<15:25:59, 1.28s/step] Training: 38%|███▊ | 26614/70000 [9:24:39<15:05:55, 1.25s/step] Training: 38%|███▊ | 26615/70000 [9:24:40<14:51:36, 1.23s/step] Training: 38%|███▊ | 26616/70000 [9:24:41<14:42:24, 1.22s/step] Training: 38%|███▊ | 26617/70000 [9:24:42<14:35:37, 1.21s/step] Training: 38%|███▊ | 26618/70000 [9:24:44<15:12:06, 1.26s/step] Training: 38%|███▊ | 26619/70000 [9:24:45<14:58:25, 1.24s/step] Training: 38%|███▊ | 26620/70000 [9:24:46<15:32:57, 1.29s/step] Training: 38%|███▊ | 26621/70000 [9:24:47<15:15:22, 1.27s/step] Training: 38%|███▊ | 26622/70000 [9:24:49<14:58:29, 1.24s/step] Training: 38%|███▊ | 26623/70000 [9:24:50<14:47:59, 1.23s/step] Training: 38%|███▊ | 26624/70000 [9:24:51<14:40:08, 1.22s/step] Training: 38%|███▊ | 26625/70000 [9:24:52<14:34:18, 1.21s/step] Training: 38%|███▊ | 26626/70000 [9:24:53<14:46:40, 1.23s/step] Training: 38%|███▊ | 26627/70000 [9:24:55<14:56:05, 1.24s/step] Training: 38%|███▊ | 26628/70000 [9:24:56<15:16:11, 1.27s/step] Training: 38%|███▊ | 26629/70000 [9:24:57<15:49:03, 1.31s/step] Training: 38%|███▊ | 26630/70000 [9:24:59<15:21:29, 1.27s/step] Training: 38%|███▊ | 26631/70000 [9:25:00<15:03:43, 1.25s/step] Training: 38%|███▊ | 26632/70000 [9:25:01<14:50:19, 1.23s/step] Training: 38%|███▊ | 26633/70000 [9:25:02<14:41:10, 1.22s/step] Training: 38%|███▊ | 26634/70000 [9:25:03<14:38:44, 1.22s/step] Training: 38%|███▊ | 26635/70000 [9:25:05<14:57:50, 1.24s/step] Training: 38%|███▊ | 26636/70000 [9:25:06<15:45:51, 1.31s/step] Training: 38%|███▊ | 26637/70000 [9:25:07<15:48:09, 1.31s/step] Training: 38%|███▊ | 26638/70000 [9:25:09<15:22:31, 1.28s/step] Training: 38%|███▊ | 26639/70000 [9:25:10<15:01:46, 1.25s/step] Training: 38%|███▊ | 26640/70000 [9:25:11<14:48:52, 1.23s/step] Training: 38%|███▊ | 26641/70000 [9:25:12<14:40:08, 1.22s/step] Training: 38%|███▊ | 26642/70000 [9:25:14<15:04:35, 1.25s/step] Training: 38%|███▊ | 26643/70000 [9:25:15<15:21:33, 1.28s/step] Training: 38%|███▊ | 26644/70000 [9:25:16<15:07:11, 1.26s/step] Training: 38%|███▊ | 26645/70000 [9:25:17<15:24:21, 1.28s/step] Training: 38%|███▊ | 26646/70000 [9:25:19<15:02:24, 1.25s/step] Training: 38%|███▊ | 26647/70000 [9:25:20<14:49:24, 1.23s/step] Training: 38%|███▊ | 26648/70000 [9:25:21<14:40:27, 1.22s/step] Training: 38%|███▊ | 26649/70000 [9:25:22<14:34:09, 1.21s/step] Training: 38%|███▊ | 26650/70000 [9:25:24<15:03:19, 1.25s/step] Training: 38%|███▊ | 26651/70000 [9:25:25<15:31:20, 1.29s/step] Training: 38%|███▊ | 26652/70000 [9:25:26<15:41:29, 1.30s/step] Training: 38%|███▊ | 26653/70000 [9:25:28<15:52:01, 1.32s/step] Training: 38%|███▊ | 26654/70000 [9:25:29<15:22:44, 1.28s/step] Training: 38%|███▊ | 26655/70000 [9:25:30<15:02:06, 1.25s/step] Training: 38%|███▊ | 26656/70000 [9:25:31<14:49:07, 1.23s/step] Training: 38%|███▊ | 26657/70000 [9:25:32<14:41:27, 1.22s/step] Training: 38%|███▊ | 26658/70000 [9:25:34<15:12:18, 1.26s/step] Training: 38%|███▊ | 26659/70000 [9:25:35<15:08:56, 1.26s/step] Training: 38%|███▊ | 26660/70000 [9:25:36<15:23:36, 1.28s/step] Training: 38%|███▊ | 26661/70000 [9:25:38<15:36:01, 1.30s/step] Training: 38%|███▊ | 26662/70000 [9:25:39<15:12:37, 1.26s/step] Training: 38%|███▊ | 26663/70000 [9:25:40<14:56:37, 1.24s/step] Training: 38%|███▊ | 26664/70000 [9:25:41<14:45:27, 1.23s/step] Training: 38%|███▊ | 26665/70000 [9:25:42<14:37:09, 1.21s/step] Training: 38%|███▊ | 26666/70000 [9:25:44<14:36:59, 1.21s/step] Training: 38%|███▊ | 26667/70000 [9:25:45<15:26:51, 1.28s/step] Training: 38%|███▊ | 26668/70000 [9:25:46<15:45:41, 1.31s/step] Training: 38%|███▊ | 26669/70000 [9:25:48<15:59:08, 1.33s/step] Training: 38%|███▊ | 26670/70000 [9:25:49<15:28:33, 1.29s/step] Training: 38%|███▊ | 26671/70000 [9:25:50<15:07:54, 1.26s/step] Training: 38%|███▊ | 26672/70000 [9:25:51<14:55:44, 1.24s/step] Training: 38%|███▊ | 26673/70000 [9:25:53<14:44:43, 1.23s/step] Training: 38%|███▊ | 26674/70000 [9:25:54<15:08:07, 1.26s/step] Training: 38%|███▊ | 26675/70000 [9:25:55<15:25:42, 1.28s/step] Training: 38%|███▊ | 26676/70000 [9:25:56<15:09:50, 1.26s/step] Training: 38%|███▊ | 26677/70000 [9:25:58<15:11:21, 1.26s/step] Training: 38%|███▊ | 26678/70000 [9:25:59<14:53:48, 1.24s/step] Training: 38%|███▊ | 26679/70000 [9:26:00<14:43:25, 1.22s/step] Training: 38%|███▊ | 26680/70000 [9:26:01<14:34:52, 1.21s/step] Training: 38%|███▊ | 26681/70000 [9:26:02<14:30:07, 1.21s/step] Training: 38%|███▊ | 26682/70000 [9:26:04<14:59:19, 1.25s/step] Training: 38%|███▊ | 26683/70000 [9:26:05<15:25:18, 1.28s/step] Training: 38%|███▊ | 26684/70000 [9:26:06<15:35:47, 1.30s/step] Training: 38%|███▊ | 26685/70000 [9:26:08<15:18:29, 1.27s/step] Training: 38%|███▊ | 26686/70000 [9:26:09<15:37:33, 1.30s/step] Training: 38%|███▊ | 26687/70000 [9:26:10<15:11:07, 1.26s/step] Training: 38%|███▊ | 26688/70000 [9:26:11<14:55:12, 1.24s/step] Training: 38%|███▊ | 26689/70000 [9:26:13<14:43:43, 1.22s/step] Training: 38%|███▊ | 26690/70000 [9:26:14<14:58:27, 1.24s/step] Training: 38%|███▊ | 26691/70000 [9:26:15<14:59:14, 1.25s/step] Training: 38%|███▊ | 26692/70000 [9:26:16<15:17:25, 1.27s/step] Training: 38%|███▊ | 26693/70000 [9:26:18<15:30:17, 1.29s/step] Training: 38%|███▊ | 26694/70000 [9:26:19<15:29:35, 1.29s/step] Training: 38%|███▊ | 26695/70000 [9:26:20<15:06:55, 1.26s/step] Training: 38%|███▊ | 26696/70000 [9:26:21<14:52:47, 1.24s/step] Training: 38%|███▊ | 26697/70000 [9:26:23<14:41:27, 1.22s/step] Training: 38%|███▊ | 26698/70000 [9:26:24<14:42:05, 1.22s/step] Training: 38%|███▊ | 26699/70000 [9:26:25<15:29:07, 1.29s/step] Training: 38%|███▊ | 26700/70000 [9:26:27<15:42:51, 1.31s/step]INFO 2026-03-13 05:36:19 ot_train.py:435 step:27K smpl:2M ep:6K epch:22.63 loss:0.042 grdn:7.307 lr:1.7e-05 updt_s:1.237 data_s:0.019 Training: 38%|███▊ | 26701/70000 [9:26:28<15:46:16, 1.31s/step] Training: 38%|███▊ | 26702/70000 [9:26:29<15:55:23, 1.32s/step] Training: 38%|███▊ | 26703/70000 [9:26:31<15:24:18, 1.28s/step] Training: 38%|███▊ | 26704/70000 [9:26:32<15:04:43, 1.25s/step] Training: 38%|███▊ | 26705/70000 [9:26:33<14:50:58, 1.23s/step] Training: 38%|███▊ | 26706/70000 [9:26:34<15:11:13, 1.26s/step] Training: 38%|███▊ | 26707/70000 [9:26:36<15:29:00, 1.29s/step] Training: 38%|███▊ | 26708/70000 [9:26:37<15:12:35, 1.26s/step] Training: 38%|███▊ | 26709/70000 [9:26:38<15:04:37, 1.25s/step] Training: 38%|███▊ | 26710/70000 [9:26:39<15:28:20, 1.29s/step] Training: 38%|███▊ | 26711/70000 [9:26:41<15:05:25, 1.25s/step] Training: 38%|███▊ | 26712/70000 [9:26:42<14:51:00, 1.23s/step] Training: 38%|███▊ | 26713/70000 [9:26:43<14:41:52, 1.22s/step] Training: 38%|███▊ | 26714/70000 [9:26:44<15:09:13, 1.26s/step] Training: 38%|███▊ | 26715/70000 [9:26:46<15:31:22, 1.29s/step] Training: 38%|███▊ | 26716/70000 [9:26:47<15:39:00, 1.30s/step] Training: 38%|███▊ | 26717/70000 [9:26:48<15:19:43, 1.27s/step] Training: 38%|███▊ | 26718/70000 [9:26:49<15:00:24, 1.25s/step] Training: 38%|███▊ | 26719/70000 [9:26:51<15:18:53, 1.27s/step] Training: 38%|███▊ | 26720/70000 [9:26:52<14:58:32, 1.25s/step] Training: 38%|███▊ | 26721/70000 [9:26:53<14:45:50, 1.23s/step] Training: 38%|███▊ | 26722/70000 [9:26:54<14:52:37, 1.24s/step] Training: 38%|███▊ | 26723/70000 [9:26:56<14:59:11, 1.25s/step] Training: 38%|███▊ | 26724/70000 [9:26:57<15:16:58, 1.27s/step] Training: 38%|███▊ | 26725/70000 [9:26:58<15:29:39, 1.29s/step] Training: 38%|███▊ | 26726/70000 [9:26:59<15:08:02, 1.26s/step] Training: 38%|███▊ | 26727/70000 [9:27:01<15:27:53, 1.29s/step] Training: 38%|███▊ | 26728/70000 [9:27:02<15:05:29, 1.26s/step] Training: 38%|███▊ | 26729/70000 [9:27:03<14:51:43, 1.24s/step] Training: 38%|███▊ | 26730/70000 [9:27:04<14:44:32, 1.23s/step] Training: 38%|███▊ | 26731/70000 [9:27:06<15:01:15, 1.25s/step] Training: 38%|███▊ | 26732/70000 [9:27:07<15:41:57, 1.31s/step] Training: 38%|███▊ | 26733/70000 [9:27:08<15:45:37, 1.31s/step] Training: 38%|███▊ | 26734/70000 [9:27:10<15:19:26, 1.28s/step] Training: 38%|███▊ | 26735/70000 [9:27:11<15:00:48, 1.25s/step] Training: 38%|███▊ | 26736/70000 [9:27:12<14:48:04, 1.23s/step] Training: 38%|███▊ | 26737/70000 [9:27:13<14:39:34, 1.22s/step] Training: 38%|███▊ | 26738/70000 [9:27:15<15:06:36, 1.26s/step] Training: 38%|███▊ | 26739/70000 [9:27:16<14:52:14, 1.24s/step] Training: 38%|███▊ | 26740/70000 [9:27:17<15:09:31, 1.26s/step] Training: 38%|███▊ | 26741/70000 [9:27:18<15:02:19, 1.25s/step] Training: 38%|███▊ | 26742/70000 [9:27:19<14:48:15, 1.23s/step] Training: 38%|███▊ | 26743/70000 [9:27:21<14:52:00, 1.24s/step] Training: 38%|███▊ | 26744/70000 [9:27:22<14:42:00, 1.22s/step] Training: 38%|███▊ | 26745/70000 [9:27:23<14:34:59, 1.21s/step] Training: 38%|███▊ | 26746/70000 [9:27:24<15:04:19, 1.25s/step] Training: 38%|███▊ | 26747/70000 [9:27:26<14:50:44, 1.24s/step] Training: 38%|███▊ | 26748/70000 [9:27:27<15:23:35, 1.28s/step] Training: 38%|███▊ | 26749/70000 [9:27:28<15:08:12, 1.26s/step] Training: 38%|███▊ | 26750/70000 [9:27:29<14:53:45, 1.24s/step] Training: 38%|███▊ | 26751/70000 [9:27:31<14:52:54, 1.24s/step] Training: 38%|███▊ | 26752/70000 [9:27:32<14:40:00, 1.22s/step] Training: 38%|███▊ | 26753/70000 [9:27:33<14:33:12, 1.21s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=21516 Training: 38%|███▊ | 26754/70000 [9:27:34<14:45:36, 1.23s/step] Training: 38%|███▊ | 26755/70000 [9:27:36<14:45:56, 1.23s/step] Training: 38%|███▊ | 26756/70000 [9:27:37<15:10:19, 1.26s/step] Training: 38%|███▊ | 26757/70000 [9:27:38<15:25:07, 1.28s/step] Training: 38%|███▊ | 26758/70000 [9:27:39<15:04:18, 1.25s/step] Training: 38%|███▊ | 26759/70000 [9:27:41<14:51:06, 1.24s/step] Training: 38%|███▊ | 26760/70000 [9:27:42<15:14:32, 1.27s/step] Training: 38%|███▊ | 26761/70000 [9:27:43<14:55:36, 1.24s/step] Training: 38%|███▊ | 26762/70000 [9:27:44<14:49:32, 1.23s/step] Training: 38%|███▊ | 26763/70000 [9:27:46<15:11:05, 1.26s/step] Training: 38%|███▊ | 26764/70000 [9:27:47<15:35:12, 1.30s/step] Training: 38%|███▊ | 26765/70000 [9:27:48<15:40:42, 1.31s/step] Training: 38%|███▊ | 26766/70000 [9:27:50<15:15:11, 1.27s/step] Training: 38%|███▊ | 26767/70000 [9:27:51<14:57:35, 1.25s/step] Training: 38%|███▊ | 26768/70000 [9:27:52<15:01:59, 1.25s/step] Training: 38%|███▊ | 26769/70000 [9:27:53<14:48:26, 1.23s/step] Training: 38%|███▊ | 26770/70000 [9:27:55<15:07:45, 1.26s/step] Training: 38%|███▊ | 26771/70000 [9:27:56<15:24:59, 1.28s/step] Training: 38%|███▊ | 26772/70000 [9:27:57<15:34:23, 1.30s/step] Training: 38%|███▊ | 26773/70000 [9:27:58<15:17:51, 1.27s/step] Training: 38%|███▊ | 26774/70000 [9:28:00<14:59:00, 1.25s/step] Training: 38%|███▊ | 26775/70000 [9:28:01<14:45:47, 1.23s/step] Training: 38%|███▊ | 26776/70000 [9:28:02<14:37:14, 1.22s/step] Training: 38%|███▊ | 26777/70000 [9:28:03<15:03:15, 1.25s/step] Training: 38%|███▊ | 26778/70000 [9:28:05<15:28:00, 1.29s/step] Training: 38%|███▊ | 26779/70000 [9:28:06<15:35:57, 1.30s/step] Training: 38%|███▊ | 26780/70000 [9:28:07<15:47:55, 1.32s/step] Training: 38%|███▊ | 26781/70000 [9:28:09<15:25:14, 1.28s/step] Training: 38%|███▊ | 26782/70000 [9:28:10<15:04:41, 1.26s/step] Training: 38%|███▊ | 26783/70000 [9:28:11<14:49:37, 1.24s/step] Training: 38%|███▊ | 26784/70000 [9:28:12<15:16:50, 1.27s/step] Training: 38%|███▊ | 26785/70000 [9:28:13<14:56:23, 1.24s/step] Training: 38%|███▊ | 26786/70000 [9:28:15<15:01:12, 1.25s/step] Training: 38%|███▊ | 26787/70000 [9:28:16<14:55:50, 1.24s/step] Training: 38%|███▊ | 26788/70000 [9:28:17<15:14:22, 1.27s/step] Training: 38%|███▊ | 26789/70000 [9:28:19<15:28:34, 1.29s/step] Training: 38%|███▊ | 26790/70000 [9:28:20<15:07:01, 1.26s/step] Training: 38%|███▊ | 26791/70000 [9:28:21<14:51:15, 1.24s/step] Training: 38%|███▊ | 26792/70000 [9:28:22<14:39:55, 1.22s/step] Training: 38%|███▊ | 26793/70000 [9:28:24<15:04:46, 1.26s/step] Training: 38%|███▊ | 26794/70000 [9:28:25<15:17:27, 1.27s/step] Training: 38%|███▊ | 26795/70000 [9:28:26<15:02:51, 1.25s/step] Training: 38%|███▊ | 26796/70000 [9:28:27<15:27:27, 1.29s/step] Training: 38%|███▊ | 26797/70000 [9:28:29<15:37:30, 1.30s/step] Training: 38%|███▊ | 26798/70000 [9:28:30<15:14:38, 1.27s/step] Training: 38%|███▊ | 26799/70000 [9:28:31<14:56:55, 1.25s/step] Training: 38%|███▊ | 26800/70000 [9:28:32<14:44:30, 1.23s/step]INFO 2026-03-13 05:38:24 ot_train.py:435 step:27K smpl:2M ep:6K epch:22.72 loss:0.040 grdn:5.539 lr:1.7e-05 updt_s:1.236 data_s:0.019 Training: 38%|███▊ | 26801/70000 [9:28:34<15:11:30, 1.27s/step] Training: 38%|███▊ | 26802/70000 [9:28:35<15:24:40, 1.28s/step] Training: 38%|███▊ | 26803/70000 [9:28:36<15:33:11, 1.30s/step] Training: 38%|███▊ | 26804/70000 [9:28:38<15:40:47, 1.31s/step] Training: 38%|███▊ | 26805/70000 [9:28:39<15:25:17, 1.29s/step] Training: 38%|███▊ | 26806/70000 [9:28:40<15:03:43, 1.26s/step] Training: 38%|███▊ | 26807/70000 [9:28:41<14:50:17, 1.24s/step] Training: 38%|███▊ | 26808/70000 [9:28:42<14:40:24, 1.22s/step] Training: 38%|███▊ | 26809/70000 [9:28:44<14:32:31, 1.21s/step] Training: 38%|███▊ | 26810/70000 [9:28:45<15:07:21, 1.26s/step] Training: 38%|███▊ | 26811/70000 [9:28:46<15:21:48, 1.28s/step] Training: 38%|███▊ | 26812/70000 [9:28:48<15:41:08, 1.31s/step] Training: 38%|███▊ | 26813/70000 [9:28:49<15:21:29, 1.28s/step] Training: 38%|███▊ | 26814/70000 [9:28:50<15:02:21, 1.25s/step] Training: 38%|███▊ | 26815/70000 [9:28:51<14:47:58, 1.23s/step] Training: 38%|███▊ | 26816/70000 [9:28:53<14:38:01, 1.22s/step] Training: 38%|███▊ | 26817/70000 [9:28:54<14:42:01, 1.23s/step] Training: 38%|███▊ | 26818/70000 [9:28:55<14:48:22, 1.23s/step] Training: 38%|███▊ | 26819/70000 [9:28:56<14:47:26, 1.23s/step] Training: 38%|███▊ | 26820/70000 [9:28:58<15:07:15, 1.26s/step] Training: 38%|███▊ | 26821/70000 [9:28:59<15:25:13, 1.29s/step] Training: 38%|███▊ | 26822/70000 [9:29:00<15:04:55, 1.26s/step] Training: 38%|███▊ | 26823/70000 [9:29:01<14:49:31, 1.24s/step] Training: 38%|███▊ | 26824/70000 [9:29:02<14:40:38, 1.22s/step] Training: 38%|███▊ | 26825/70000 [9:29:04<14:44:38, 1.23s/step] Training: 38%|███▊ | 26826/70000 [9:29:05<15:04:47, 1.26s/step] Training: 38%|███▊ | 26827/70000 [9:29:06<14:55:01, 1.24s/step] Training: 38%|███▊ | 26828/70000 [9:29:08<15:18:31, 1.28s/step] Training: 38%|███▊ | 26829/70000 [9:29:09<15:29:12, 1.29s/step] Training: 38%|███▊ | 26830/70000 [9:29:10<15:06:45, 1.26s/step] Training: 38%|███▊ | 26831/70000 [9:29:11<14:51:28, 1.24s/step] Training: 38%|███▊ | 26832/70000 [9:29:13<14:41:44, 1.23s/step] Training: 38%|███▊ | 26833/70000 [9:29:14<14:34:42, 1.22s/step] Training: 38%|███▊ | 26834/70000 [9:29:15<15:24:28, 1.29s/step] Training: 38%|███▊ | 26835/70000 [9:29:17<15:59:21, 1.33s/step] Training: 38%|███▊ | 26836/70000 [9:29:18<15:57:02, 1.33s/step] Training: 38%|███▊ | 26837/70000 [9:29:19<15:33:46, 1.30s/step] Training: 38%|███▊ | 26838/70000 [9:29:20<15:10:16, 1.27s/step] Training: 38%|███▊ | 26839/70000 [9:29:22<14:53:48, 1.24s/step] Training: 38%|███▊ | 26840/70000 [9:29:23<14:43:08, 1.23s/step] Training: 38%|███▊ | 26841/70000 [9:29:24<14:34:28, 1.22s/step] Training: 38%|███▊ | 26842/70000 [9:29:25<15:07:38, 1.26s/step] Training: 38%|███▊ | 26843/70000 [9:29:27<15:30:54, 1.29s/step] Training: 38%|███▊ | 26844/70000 [9:29:28<15:46:15, 1.32s/step] Training: 38%|███▊ | 26845/70000 [9:29:29<15:21:14, 1.28s/step] Training: 38%|███▊ | 26846/70000 [9:29:30<15:01:03, 1.25s/step] Training: 38%|███▊ | 26847/70000 [9:29:32<14:47:48, 1.23s/step] Training: 38%|███▊ | 26848/70000 [9:29:33<14:38:08, 1.22s/step] Training: 38%|███▊ | 26849/70000 [9:29:34<14:31:12, 1.21s/step] Training: 38%|███▊ | 26850/70000 [9:29:35<15:03:15, 1.26s/step] Training: 38%|███▊ | 26851/70000 [9:29:37<14:51:39, 1.24s/step] Training: 38%|███▊ | 26852/70000 [9:29:38<15:14:23, 1.27s/step] Training: 38%|███▊ | 26853/70000 [9:29:39<15:27:14, 1.29s/step] Training: 38%|███▊ | 26854/70000 [9:29:40<15:05:09, 1.26s/step] Training: 38%|███▊ | 26855/70000 [9:29:42<14:50:10, 1.24s/step] Training: 38%|███▊ | 26856/70000 [9:29:43<14:39:41, 1.22s/step] Training: 38%|███▊ | 26857/70000 [9:29:44<14:32:01, 1.21s/step] Training: 38%|███▊ | 26858/70000 [9:29:45<15:02:17, 1.25s/step] Training: 38%|███▊ | 26859/70000 [9:29:47<15:16:44, 1.27s/step] Training: 38%|███▊ | 26860/70000 [9:29:48<15:38:20, 1.31s/step] Training: 38%|███▊ | 26861/70000 [9:29:49<15:42:09, 1.31s/step] Training: 38%|███▊ | 26862/70000 [9:29:51<15:16:01, 1.27s/step] Training: 38%|███▊ | 26863/70000 [9:29:52<14:57:20, 1.25s/step] Training: 38%|███▊ | 26864/70000 [9:29:53<14:44:45, 1.23s/step] Training: 38%|███▊ | 26865/70000 [9:29:54<14:35:42, 1.22s/step] Training: 38%|███▊ | 26866/70000 [9:29:55<15:00:13, 1.25s/step] Training: 38%|███▊ | 26867/70000 [9:29:57<15:41:52, 1.31s/step] Training: 38%|███▊ | 26868/70000 [9:29:58<15:21:22, 1.28s/step] Training: 38%|███▊ | 26869/70000 [9:29:59<15:29:38, 1.29s/step] Training: 38%|███▊ | 26870/70000 [9:30:01<15:07:16, 1.26s/step] Training: 38%|███▊ | 26871/70000 [9:30:02<14:51:17, 1.24s/step] Training: 38%|███▊ | 26872/70000 [9:30:03<14:39:54, 1.22s/step] Training: 38%|███▊ | 26873/70000 [9:30:04<14:31:40, 1.21s/step] Training: 38%|███▊ | 26874/70000 [9:30:05<14:36:59, 1.22s/step] Training: 38%|███▊ | 26875/70000 [9:30:07<15:26:14, 1.29s/step] Training: 38%|███▊ | 26876/70000 [9:30:08<15:39:16, 1.31s/step] Training: 38%|███▊ | 26877/70000 [9:30:09<15:37:48, 1.30s/step] Training: 38%|███▊ | 26878/70000 [9:30:11<15:16:25, 1.28s/step] Training: 38%|███▊ | 26879/70000 [9:30:12<15:03:02, 1.26s/step] Training: 38%|███▊ | 26880/70000 [9:30:13<14:50:54, 1.24s/step] Training: 38%|███▊ | 26881/70000 [9:30:14<14:40:08, 1.22s/step] Training: 38%|███▊ | 26882/70000 [9:30:16<14:37:15, 1.22s/step] Training: 38%|███▊ | 26883/70000 [9:30:17<14:58:24, 1.25s/step] Training: 38%|███▊ | 26884/70000 [9:30:18<15:13:19, 1.27s/step] Training: 38%|███▊ | 26885/70000 [9:30:19<15:27:02, 1.29s/step] Training: 38%|███▊ | 26886/70000 [9:30:21<15:05:55, 1.26s/step] Training: 38%|███▊ | 26887/70000 [9:30:22<14:49:44, 1.24s/step] Training: 38%|███▊ | 26888/70000 [9:30:23<14:38:42, 1.22s/step] Training: 38%|███▊ | 26889/70000 [9:30:24<14:30:23, 1.21s/step] Training: 38%|███▊ | 26890/70000 [9:30:26<14:56:36, 1.25s/step] Training: 38%|███▊ | 26891/70000 [9:30:27<15:18:57, 1.28s/step] Training: 38%|███▊ | 26892/70000 [9:30:28<15:29:17, 1.29s/step] Training: 38%|███▊ | 26893/70000 [9:30:30<15:53:39, 1.33s/step] Training: 38%|███▊ | 26894/70000 [9:30:31<15:23:29, 1.29s/step] Training: 38%|███▊ | 26895/70000 [9:30:32<15:03:15, 1.26s/step] Training: 38%|███▊ | 26896/70000 [9:30:33<14:48:16, 1.24s/step] Training: 38%|███▊ | 26897/70000 [9:30:34<14:37:51, 1.22s/step] Training: 38%|███▊ | 26898/70000 [9:30:36<15:01:37, 1.26s/step] Training: 38%|███▊ | 26899/70000 [9:30:37<15:18:30, 1.28s/step] Training: 38%|███▊ | 26900/70000 [9:30:38<15:08:13, 1.26s/step]INFO 2026-03-13 05:40:30 ot_train.py:435 step:27K smpl:2M ep:6K epch:22.80 loss:0.041 grdn:7.585 lr:1.7e-05 updt_s:1.239 data_s:0.019 Training: 38%|███▊ | 26901/70000 [9:30:40<15:31:19, 1.30s/step] Training: 38%|███▊ | 26902/70000 [9:30:41<15:08:29, 1.26s/step] Training: 38%|███▊ | 26903/70000 [9:30:42<14:52:50, 1.24s/step] Training: 38%|███▊ | 26904/70000 [9:30:43<14:41:00, 1.23s/step] Training: 38%|███▊ | 26905/70000 [9:30:44<14:33:05, 1.22s/step] Training: 38%|███▊ | 26906/70000 [9:30:46<14:37:42, 1.22s/step] Training: 38%|███▊ | 26907/70000 [9:30:47<14:59:12, 1.25s/step] Training: 38%|███▊ | 26908/70000 [9:30:48<15:33:34, 1.30s/step] Training: 38%|███▊ | 26909/70000 [9:30:50<15:13:35, 1.27s/step] Training: 38%|███▊ | 26910/70000 [9:30:51<14:56:16, 1.25s/step] Training: 38%|███▊ | 26911/70000 [9:30:52<14:43:23, 1.23s/step] Training: 38%|███▊ | 26912/70000 [9:30:53<14:34:05, 1.22s/step] Training: 38%|███▊ | 26913/70000 [9:30:54<14:27:57, 1.21s/step] Training: 38%|███▊ | 26914/70000 [9:30:56<14:27:10, 1.21s/step] Training: 38%|███▊ | 26915/70000 [9:30:57<14:39:26, 1.22s/step] Training: 38%|███▊ | 26916/70000 [9:30:58<15:24:38, 1.29s/step] Training: 38%|███▊ | 26917/70000 [9:31:00<15:33:50, 1.30s/step] Training: 38%|███▊ | 26918/70000 [9:31:01<15:09:48, 1.27s/step] Training: 38%|███▊ | 26919/70000 [9:31:02<14:52:44, 1.24s/step] Training: 38%|███▊ | 26920/70000 [9:31:03<14:42:34, 1.23s/step] Training: 38%|███▊ | 26921/70000 [9:31:04<14:34:12, 1.22s/step] Training: 38%|███▊ | 26922/70000 [9:31:06<14:59:33, 1.25s/step] Training: 38%|███▊ | 26923/70000 [9:31:07<15:18:33, 1.28s/step] Training: 38%|███▊ | 26924/70000 [9:31:08<15:39:21, 1.31s/step] Training: 38%|███▊ | 26925/70000 [9:31:10<15:44:34, 1.32s/step] Training: 38%|███▊ | 26926/70000 [9:31:11<15:17:34, 1.28s/step] Training: 38%|███▊ | 26927/70000 [9:31:12<14:59:06, 1.25s/step] Training: 38%|███▊ | 26928/70000 [9:31:13<14:45:09, 1.23s/step] Training: 38%|███▊ | 26929/70000 [9:31:15<14:35:37, 1.22s/step] Training: 38%|███▊ | 26930/70000 [9:31:16<14:59:43, 1.25s/step] Training: 38%|███▊ | 26931/70000 [9:31:17<15:17:02, 1.28s/step] Training: 38%|███▊ | 26932/70000 [9:31:18<15:06:01, 1.26s/step] Training: 38%|███▊ | 26933/70000 [9:31:20<15:46:06, 1.32s/step] Training: 38%|███▊ | 26934/70000 [9:31:21<15:18:24, 1.28s/step] Training: 38%|███▊ | 26935/70000 [9:31:22<14:58:08, 1.25s/step] Training: 38%|███▊ | 26936/70000 [9:31:23<14:45:01, 1.23s/step] Training: 38%|███▊ | 26937/70000 [9:31:25<14:37:39, 1.22s/step] Training: 38%|███▊ | 26938/70000 [9:31:26<14:44:24, 1.23s/step] Training: 38%|███▊ | 26939/70000 [9:31:27<15:07:16, 1.26s/step] Training: 38%|███▊ | 26940/70000 [9:31:29<15:23:01, 1.29s/step] Training: 38%|███▊ | 26941/70000 [9:31:30<15:35:18, 1.30s/step] Training: 38%|███▊ | 26942/70000 [9:31:31<15:08:51, 1.27s/step] Training: 38%|███▊ | 26943/70000 [9:31:32<14:53:00, 1.24s/step] Training: 38%|███▊ | 26944/70000 [9:31:33<14:40:37, 1.23s/step] Training: 38%|███▊ | 26945/70000 [9:31:35<14:32:18, 1.22s/step] Training: 38%|███▊ | 26946/70000 [9:31:36<14:31:44, 1.21s/step] Training: 38%|███▊ | 26947/70000 [9:31:37<14:39:45, 1.23s/step] Training: 38%|███▊ | 26948/70000 [9:31:38<15:04:25, 1.26s/step] Training: 38%|███▊ | 26949/70000 [9:31:40<15:19:51, 1.28s/step] Training: 38%|███▊ | 26950/70000 [9:31:41<14:59:10, 1.25s/step] Training: 39%|███▊ | 26951/70000 [9:31:42<14:44:44, 1.23s/step] Training: 39%|███▊ | 26952/70000 [9:31:43<14:35:27, 1.22s/step] Training: 39%|███▊ | 26953/70000 [9:31:45<14:28:51, 1.21s/step] Training: 39%|███▊ | 26954/70000 [9:31:46<14:54:10, 1.25s/step] Training: 39%|███▊ | 26955/70000 [9:31:47<15:12:35, 1.27s/step] Training: 39%|███▊ | 26956/70000 [9:31:49<15:28:05, 1.29s/step] Training: 39%|███▊ | 26957/70000 [9:31:50<15:44:08, 1.32s/step] Training: 39%|███▊ | 26958/70000 [9:31:51<15:16:29, 1.28s/step] Training: 39%|███▊ | 26959/70000 [9:31:52<14:59:12, 1.25s/step] Training: 39%|███▊ | 26960/70000 [9:31:53<14:45:47, 1.23s/step] Training: 39%|███▊ | 26961/70000 [9:31:55<14:35:31, 1.22s/step] Training: 39%|███▊ | 26962/70000 [9:31:56<15:00:38, 1.26s/step] Training: 39%|███▊ | 26963/70000 [9:31:57<15:19:07, 1.28s/step] Training: 39%|███▊ | 26964/70000 [9:31:59<15:08:32, 1.27s/step] Training: 39%|███▊ | 26965/70000 [9:32:00<15:27:17, 1.29s/step] Training: 39%|███▊ | 26966/70000 [9:32:01<15:04:40, 1.26s/step] Training: 39%|███▊ | 26967/70000 [9:32:02<14:48:47, 1.24s/step] Training: 39%|███▊ | 26968/70000 [9:32:03<14:37:56, 1.22s/step] Training: 39%|███▊ | 26969/70000 [9:32:05<14:29:56, 1.21s/step] Training: 39%|███▊ | 26970/70000 [9:32:06<14:33:28, 1.22s/step] Training: 39%|███▊ | 26971/70000 [9:32:07<14:56:32, 1.25s/step] Training: 39%|███▊ | 26972/70000 [9:32:09<15:13:56, 1.27s/step] Training: 39%|███▊ | 26973/70000 [9:32:10<14:59:48, 1.25s/step] Training: 39%|███▊ | 26974/70000 [9:32:11<15:21:59, 1.29s/step] Training: 39%|███▊ | 26975/70000 [9:32:12<14:59:26, 1.25s/step] Training: 39%|███▊ | 26976/70000 [9:32:14<14:45:44, 1.24s/step] Training: 39%|███▊ | 26977/70000 [9:32:15<14:35:19, 1.22s/step] Training: 39%|███▊ | 26978/70000 [9:32:16<14:36:13, 1.22s/step] Training: 39%|███▊ | 26979/70000 [9:32:17<14:38:57, 1.23s/step] Training: 39%|███▊ | 26980/70000 [9:32:18<15:00:11, 1.26s/step] Training: 39%|███▊ | 26981/70000 [9:32:20<15:17:06, 1.28s/step] Training: 39%|███▊ | 26982/70000 [9:32:21<15:20:33, 1.28s/step] Training: 39%|███▊ | 26983/70000 [9:32:22<14:58:44, 1.25s/step] Training: 39%|███▊ | 26984/70000 [9:32:23<14:46:04, 1.24s/step] Training: 39%|███▊ | 26985/70000 [9:32:25<14:34:32, 1.22s/step] Training: 39%|███▊ | 26986/70000 [9:32:26<14:59:31, 1.25s/step] Training: 39%|███▊ | 26987/70000 [9:32:27<15:17:29, 1.28s/step] Training: 39%|███▊ | 26988/70000 [9:32:29<15:31:54, 1.30s/step] Training: 39%|███▊ | 26989/70000 [9:32:30<15:37:28, 1.31s/step] Training: 39%|███▊ | 26990/70000 [9:32:31<15:11:09, 1.27s/step] Training: 39%|███▊ | 26991/70000 [9:32:33<15:27:24, 1.29s/step] Training: 39%|███▊ | 26992/70000 [9:32:34<15:03:50, 1.26s/step] Training: 39%|███▊ | 26993/70000 [9:32:35<14:48:16, 1.24s/step] Training: 39%|███▊ | 26994/70000 [9:32:36<15:07:32, 1.27s/step] Training: 39%|███▊ | 26995/70000 [9:32:38<15:22:16, 1.29s/step] Training: 39%|███▊ | 26996/70000 [9:32:39<15:12:11, 1.27s/step] Training: 39%|███▊ | 26997/70000 [9:32:40<15:30:43, 1.30s/step] Training: 39%|███▊ | 26998/70000 [9:32:42<15:43:17, 1.32s/step] Training: 39%|███▊ | 26999/70000 [9:32:43<15:13:28, 1.27s/step] Training: 39%|███▊ | 27000/70000 [9:32:44<14:55:18, 1.25s/step]INFO 2026-03-13 05:42:36 ot_train.py:435 step:27K smpl:2M ep:6K epch:22.89 loss:0.041 grdn:5.805 lr:1.7e-05 updt_s:1.235 data_s:0.019 Training: 39%|███▊ | 27001/70000 [9:32:45<14:41:46, 1.23s/step] Training: 39%|███▊ | 27002/70000 [9:32:46<14:42:16, 1.23s/step] Training: 39%|███▊ | 27003/70000 [9:32:48<15:01:56, 1.26s/step] Training: 39%|███▊ | 27004/70000 [9:32:49<15:19:12, 1.28s/step] Training: 39%|███▊ | 27005/70000 [9:32:50<15:04:03, 1.26s/step] Training: 39%|███▊ | 27006/70000 [9:32:51<14:48:38, 1.24s/step] Training: 39%|███▊ | 27007/70000 [9:32:53<15:12:24, 1.27s/step] Training: 39%|███▊ | 27008/70000 [9:32:54<14:52:52, 1.25s/step] Training: 39%|███▊ | 27009/70000 [9:32:55<14:40:05, 1.23s/step] Training: 39%|███▊ | 27010/70000 [9:32:56<14:35:12, 1.22s/step] Training: 39%|███▊ | 27011/70000 [9:32:58<14:59:39, 1.26s/step] Training: 39%|███▊ | 27012/70000 [9:32:59<15:15:44, 1.28s/step] Training: 39%|███▊ | 27013/70000 [9:33:00<15:27:06, 1.29s/step] Training: 39%|███▊ | 27014/70000 [9:33:01<15:04:46, 1.26s/step] Training: 39%|███▊ | 27015/70000 [9:33:03<15:23:09, 1.29s/step] Training: 39%|███▊ | 27016/70000 [9:33:04<14:59:20, 1.26s/step] Training: 39%|███▊ | 27017/70000 [9:33:05<14:44:50, 1.24s/step] Training: 39%|███▊ | 27018/70000 [9:33:07<15:05:37, 1.26s/step] Training: 39%|███▊ | 27019/70000 [9:33:08<15:22:44, 1.29s/step] Training: 39%|███▊ | 27020/70000 [9:33:09<15:32:58, 1.30s/step] Training: 39%|███▊ | 27021/70000 [9:33:11<15:38:24, 1.31s/step] Training: 39%|███▊ | 27022/70000 [9:33:12<15:12:50, 1.27s/step] Training: 39%|███▊ | 27023/70000 [9:33:13<14:54:42, 1.25s/step] Training: 39%|███▊ | 27024/70000 [9:33:14<14:41:38, 1.23s/step] Training: 39%|███▊ | 27025/70000 [9:33:15<14:32:15, 1.22s/step] Training: 39%|███▊ | 27026/70000 [9:33:17<14:54:59, 1.25s/step] Training: 39%|███▊ | 27027/70000 [9:33:18<15:12:53, 1.27s/step] Training: 39%|███▊ | 27028/70000 [9:33:19<15:02:39, 1.26s/step] Training: 39%|███▊ | 27029/70000 [9:33:21<15:24:04, 1.29s/step] Training: 39%|███▊ | 27030/70000 [9:33:22<15:02:22, 1.26s/step] Training: 39%|███▊ | 27031/70000 [9:33:23<14:58:07, 1.25s/step] Training: 39%|███▊ | 27032/70000 [9:33:24<14:43:35, 1.23s/step] Training: 39%|███▊ | 27033/70000 [9:33:25<14:34:07, 1.22s/step] Training: 39%|███▊ | 27034/70000 [9:33:27<14:34:01, 1.22s/step] Training: 39%|███▊ | 27035/70000 [9:33:28<14:58:26, 1.25s/step] Training: 39%|███▊ | 27036/70000 [9:33:29<15:15:22, 1.28s/step] Training: 39%|███▊ | 27037/70000 [9:33:31<15:23:38, 1.29s/step] Training: 39%|███▊ | 27038/70000 [9:33:32<15:02:16, 1.26s/step] Training: 39%|███▊ | 27039/70000 [9:33:33<14:58:07, 1.25s/step] Training: 39%|███▊ | 27040/70000 [9:33:34<14:42:22, 1.23s/step] Training: 39%|███▊ | 27041/70000 [9:33:35<14:33:24, 1.22s/step] Training: 39%|███▊ | 27042/70000 [9:33:37<14:35:51, 1.22s/step] Training: 39%|███▊ | 27043/70000 [9:33:38<14:59:09, 1.26s/step] Training: 39%|███▊ | 27044/70000 [9:33:39<15:15:34, 1.28s/step] Training: 39%|███▊ | 27045/70000 [9:33:41<15:55:58, 1.34s/step] Training: 39%|███▊ | 27046/70000 [9:33:42<15:24:35, 1.29s/step] Training: 39%|███▊ | 27047/70000 [9:33:43<15:01:42, 1.26s/step] Training: 39%|███▊ | 27048/70000 [9:33:44<15:20:25, 1.29s/step] Training: 39%|███▊ | 27049/70000 [9:33:46<14:58:13, 1.25s/step] Training: 39%|███▊ | 27050/70000 [9:33:47<14:43:51, 1.23s/step] Training: 39%|███▊ | 27051/70000 [9:33:48<15:36:50, 1.31s/step] Training: 39%|███▊ | 27052/70000 [9:33:50<15:40:30, 1.31s/step] Training: 39%|███▊ | 27053/70000 [9:33:51<16:05:29, 1.35s/step] Training: 39%|███▊ | 27054/70000 [9:33:52<15:31:13, 1.30s/step] Training: 39%|███▊ | 27055/70000 [9:33:53<15:09:10, 1.27s/step] Training: 39%|███▊ | 27056/70000 [9:33:55<15:13:46, 1.28s/step] Training: 39%|███▊ | 27057/70000 [9:33:56<14:53:42, 1.25s/step] Training: 39%|███▊ | 27058/70000 [9:33:57<14:41:11, 1.23s/step] Training: 39%|███▊ | 27059/70000 [9:33:58<15:03:37, 1.26s/step] Training: 39%|███▊ | 27060/70000 [9:34:00<14:53:57, 1.25s/step] Training: 39%|███▊ | 27061/70000 [9:34:01<15:15:53, 1.28s/step] Training: 39%|███▊ | 27062/70000 [9:34:02<14:56:34, 1.25s/step] Training: 39%|███▊ | 27063/70000 [9:34:03<14:43:56, 1.24s/step] Training: 39%|███▊ | 27064/70000 [9:34:05<15:40:18, 1.31s/step] Training: 39%|███▊ | 27065/70000 [9:34:06<15:12:19, 1.27s/step] Training: 39%|███▊ | 27066/70000 [9:34:07<15:04:22, 1.26s/step] Training: 39%|███▊ | 27067/70000 [9:34:09<15:17:12, 1.28s/step] Training: 39%|███▊ | 27068/70000 [9:34:10<15:27:22, 1.30s/step] Training: 39%|███▊ | 27069/70000 [9:34:11<15:08:24, 1.27s/step] Training: 39%|███▊ | 27070/70000 [9:34:12<14:50:58, 1.25s/step] Training: 39%|███▊ | 27071/70000 [9:34:14<14:38:52, 1.23s/step] Training: 39%|███▊ | 27072/70000 [9:34:15<15:06:38, 1.27s/step] Training: 39%|███▊ | 27073/70000 [9:34:16<14:47:21, 1.24s/step] Training: 39%|███▊ | 27074/70000 [9:34:17<14:40:45, 1.23s/step] Training: 39%|███▊ | 27075/70000 [9:34:19<15:03:13, 1.26s/step] Training: 39%|███▊ | 27076/70000 [9:34:20<15:21:49, 1.29s/step] Training: 39%|███▊ | 27077/70000 [9:34:21<15:37:26, 1.31s/step] Training: 39%|███▊ | 27078/70000 [9:34:23<15:36:59, 1.31s/step] Training: 39%|███▊ | 27079/70000 [9:34:24<15:11:39, 1.27s/step] Training: 39%|███▊ | 27080/70000 [9:34:25<15:04:04, 1.26s/step] Training: 39%|███▊ | 27081/70000 [9:34:26<14:50:18, 1.24s/step] Training: 39%|███▊ | 27082/70000 [9:34:28<15:08:08, 1.27s/step] Training: 39%|███▊ | 27083/70000 [9:34:29<15:34:43, 1.31s/step] Training: 39%|███▊ | 27084/70000 [9:34:30<15:40:18, 1.31s/step] Training: 39%|███▊ | 27085/70000 [9:34:32<15:44:53, 1.32s/step] Training: 39%|███▊ | 27086/70000 [9:34:33<15:26:14, 1.30s/step] Training: 39%|███▊ | 27087/70000 [9:34:34<15:03:19, 1.26s/step] Training: 39%|███▊ | 27088/70000 [9:34:35<14:48:05, 1.24s/step] Training: 39%|███▊ | 27089/70000 [9:34:37<15:10:49, 1.27s/step] Training: 39%|███▊ | 27090/70000 [9:34:38<15:21:58, 1.29s/step] Training: 39%|███▊ | 27091/70000 [9:34:39<15:35:42, 1.31s/step] Training: 39%|███▊ | 27092/70000 [9:34:41<15:13:15, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=27662 Training: 39%|███▊ | 27093/70000 [9:34:42<15:35:04, 1.31s/step] Training: 39%|███▊ | 27094/70000 [9:34:43<15:13:46, 1.28s/step] Training: 39%|███▊ | 27095/70000 [9:34:44<14:55:16, 1.25s/step] Training: 39%|███▊ | 27096/70000 [9:34:45<14:41:52, 1.23s/step] Training: 39%|███▊ | 27097/70000 [9:34:47<15:06:26, 1.27s/step] Training: 39%|███▊ | 27098/70000 [9:34:48<14:57:51, 1.26s/step] Training: 39%|███▊ | 27099/70000 [9:34:49<15:11:46, 1.28s/step] Training: 39%|███▊ | 27100/70000 [9:34:51<15:24:29, 1.29s/step]INFO 2026-03-13 05:44:43 ot_train.py:435 step:27K smpl:2M ep:6K epch:22.97 loss:0.041 grdn:5.938 lr:1.7e-05 updt_s:1.247 data_s:0.019 Training: 39%|███▊ | 27101/70000 [9:34:52<15:31:38, 1.30s/step] Training: 39%|███▊ | 27102/70000 [9:34:53<15:37:45, 1.31s/step] Training: 39%|███▊ | 27103/70000 [9:34:55<15:11:40, 1.28s/step] Training: 39%|███▊ | 27104/70000 [9:34:56<14:53:06, 1.25s/step] Training: 39%|███▊ | 27105/70000 [9:34:57<14:52:11, 1.25s/step] Training: 39%|███▊ | 27106/70000 [9:34:58<14:44:43, 1.24s/step] Training: 39%|███▊ | 27107/70000 [9:35:00<15:06:23, 1.27s/step] Training: 39%|███▊ | 27108/70000 [9:35:01<15:19:01, 1.29s/step] Training: 39%|███▊ | 27109/70000 [9:35:02<15:41:10, 1.32s/step] Training: 39%|███▊ | 27110/70000 [9:35:04<15:43:20, 1.32s/step] Training: 39%|███▊ | 27111/70000 [9:35:05<15:15:16, 1.28s/step] Training: 39%|███▊ | 27112/70000 [9:35:06<14:55:22, 1.25s/step] Training: 39%|███▊ | 27113/70000 [9:35:07<14:51:08, 1.25s/step] Training: 39%|███▊ | 27114/70000 [9:35:09<15:08:14, 1.27s/step] Training: 39%|███▊ | 27115/70000 [9:35:10<15:23:39, 1.29s/step] Training: 39%|███▊ | 27116/70000 [9:35:11<15:31:29, 1.30s/step] Training: 39%|███▊ | 27117/70000 [9:35:13<15:37:32, 1.31s/step] Training: 39%|███▊ | 27118/70000 [9:35:14<15:40:42, 1.32s/step] Training: 39%|███▊ | 27119/70000 [9:35:15<15:12:44, 1.28s/step] Training: 39%|███▊ | 27120/70000 [9:35:16<14:53:16, 1.25s/step] Training: 39%|███▊ | 27121/70000 [9:35:17<14:41:00, 1.23s/step] Training: 39%|███▊ | 27122/70000 [9:35:19<15:23:15, 1.29s/step] Training: 39%|███▊ | 27123/70000 [9:35:20<15:32:45, 1.31s/step] Training: 39%|███▊ | 27124/70000 [9:35:21<15:11:26, 1.28s/step] Training: 39%|███▉ | 27125/70000 [9:35:23<15:36:35, 1.31s/step] Training: 39%|███▉ | 27126/70000 [9:35:24<15:17:13, 1.28s/step] Training: 39%|███▉ | 27127/70000 [9:35:25<14:57:55, 1.26s/step] Training: 39%|███▉ | 27128/70000 [9:35:26<14:43:25, 1.24s/step] Training: 39%|███▉ | 27129/70000 [9:35:28<14:33:57, 1.22s/step] Training: 39%|███▉ | 27130/70000 [9:35:29<14:47:48, 1.24s/step] Training: 39%|███▉ | 27131/70000 [9:35:30<14:46:48, 1.24s/step] Training: 39%|███▉ | 27132/70000 [9:35:32<15:23:52, 1.29s/step] Training: 39%|███▉ | 27133/70000 [9:35:33<15:34:04, 1.31s/step] Training: 39%|███▉ | 27134/70000 [9:35:34<15:40:41, 1.32s/step] Training: 39%|███▉ | 27135/70000 [9:35:35<15:12:39, 1.28s/step] Training: 39%|███▉ | 27136/70000 [9:35:37<14:53:24, 1.25s/step] Training: 39%|███▉ | 27137/70000 [9:35:38<14:39:37, 1.23s/step] Training: 39%|███▉ | 27138/70000 [9:35:39<15:04:39, 1.27s/step] Training: 39%|███▉ | 27139/70000 [9:35:40<15:15:36, 1.28s/step] Training: 39%|███▉ | 27140/70000 [9:35:43<19:43:26, 1.66s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 39%|███▉ | 27141/70000 [9:35:47<29:15:44, 2.46s/step] Training: 39%|███▉ | 27142/70000 [9:35:49<24:46:17, 2.08s/step] Training: 39%|███▉ | 27143/70000 [9:35:50<22:14:46, 1.87s/step] Training: 39%|███▉ | 27144/70000 [9:35:51<19:47:44, 1.66s/step] Training: 39%|███▉ | 27145/70000 [9:35:52<18:05:53, 1.52s/step] Training: 39%|███▉ | 27146/70000 [9:35:54<17:44:29, 1.49s/step] Training: 39%|███▉ | 27147/70000 [9:35:55<17:46:10, 1.49s/step] Training: 39%|███▉ | 27148/70000 [9:35:56<17:03:15, 1.43s/step] Training: 39%|███▉ | 27149/70000 [9:35:58<16:41:43, 1.40s/step] Training: 39%|███▉ | 27150/70000 [9:35:59<15:56:35, 1.34s/step] Training: 39%|███▉ | 27151/70000 [9:36:00<15:56:31, 1.34s/step] Training: 39%|███▉ | 27152/70000 [9:36:02<15:25:06, 1.30s/step] Training: 39%|███▉ | 27153/70000 [9:36:03<15:02:03, 1.26s/step] Training: 39%|███▉ | 27154/70000 [9:36:04<15:19:34, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=32523 Training: 39%|███▉ | 27155/70000 [9:36:06<15:58:23, 1.34s/step] Training: 39%|███▉ | 27156/70000 [9:36:07<15:25:51, 1.30s/step] Training: 39%|███▉ | 27157/70000 [9:36:08<16:01:29, 1.35s/step] Training: 39%|███▉ | 27158/70000 [9:36:09<15:27:56, 1.30s/step] Training: 39%|███▉ | 27159/70000 [9:36:11<15:32:32, 1.31s/step] Training: 39%|███▉ | 27160/70000 [9:36:12<15:09:16, 1.27s/step] Training: 39%|███▉ | 27161/70000 [9:36:13<14:50:47, 1.25s/step] Training: 39%|███▉ | 27162/70000 [9:36:14<14:50:02, 1.25s/step] Training: 39%|███▉ | 27163/70000 [9:36:16<15:13:06, 1.28s/step] Training: 39%|███▉ | 27164/70000 [9:36:17<15:13:21, 1.28s/step] Training: 39%|███▉ | 27165/70000 [9:36:18<15:24:28, 1.29s/step] Training: 39%|███▉ | 27166/70000 [9:36:20<15:38:31, 1.31s/step] Training: 39%|███▉ | 27167/70000 [9:36:21<15:11:55, 1.28s/step] Training: 39%|███▉ | 27168/70000 [9:36:22<14:52:47, 1.25s/step] Training: 39%|███▉ | 27169/70000 [9:36:23<14:41:04, 1.23s/step] Training: 39%|███▉ | 27170/70000 [9:36:24<14:40:19, 1.23s/step] Training: 39%|███▉ | 27171/70000 [9:36:26<15:17:48, 1.29s/step] Training: 39%|███▉ | 27172/70000 [9:36:27<15:04:33, 1.27s/step] Training: 39%|███▉ | 27173/70000 [9:36:28<15:17:47, 1.29s/step] Training: 39%|███▉ | 27174/70000 [9:36:30<15:27:59, 1.30s/step] Training: 39%|███▉ | 27175/70000 [9:36:31<15:04:13, 1.27s/step] Training: 39%|███▉ | 27176/70000 [9:36:32<14:46:43, 1.24s/step] Training: 39%|███▉ | 27177/70000 [9:36:33<14:36:06, 1.23s/step] Training: 39%|███▉ | 27178/70000 [9:36:35<14:59:18, 1.26s/step] Training: 39%|███▉ | 27179/70000 [9:36:36<15:23:25, 1.29s/step] Training: 39%|███▉ | 27180/70000 [9:36:37<15:03:11, 1.27s/step] Training: 39%|███▉ | 27181/70000 [9:36:39<15:15:06, 1.28s/step] Training: 39%|███▉ | 27182/70000 [9:36:40<15:25:45, 1.30s/step] Training: 39%|███▉ | 27183/70000 [9:36:41<15:02:40, 1.26s/step] Training: 39%|███▉ | 27184/70000 [9:36:42<14:45:58, 1.24s/step] Training: 39%|███▉ | 27185/70000 [9:36:43<14:35:23, 1.23s/step] Training: 39%|███▉ | 27186/70000 [9:36:45<14:57:54, 1.26s/step] Training: 39%|███▉ | 27187/70000 [9:36:46<15:13:54, 1.28s/step] Training: 39%|███▉ | 27188/70000 [9:36:47<14:56:14, 1.26s/step] Training: 39%|███▉ | 27189/70000 [9:36:49<15:39:16, 1.32s/step] Training: 39%|███▉ | 27190/70000 [9:36:50<15:16:09, 1.28s/step] Training: 39%|███▉ | 27191/70000 [9:36:51<14:55:38, 1.26s/step] Training: 39%|███▉ | 27192/70000 [9:36:52<14:40:58, 1.23s/step] Training: 39%|███▉ | 27193/70000 [9:36:54<14:31:03, 1.22s/step] Training: 39%|███▉ | 27194/70000 [9:36:55<14:35:57, 1.23s/step] Training: 39%|███▉ | 27195/70000 [9:36:56<14:36:55, 1.23s/step] Training: 39%|███▉ | 27196/70000 [9:36:57<15:22:30, 1.29s/step] Training: 39%|███▉ | 27197/70000 [9:36:59<15:29:40, 1.30s/step] Training: 39%|███▉ | 27198/70000 [9:37:00<15:35:45, 1.31s/step] Training: 39%|███▉ | 27199/70000 [9:37:01<15:09:20, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=66978 Training: 39%|███▉ | 27200/70000 [9:37:02<14:50:58, 1.25s/step]INFO 2026-03-13 05:46:55 ot_train.py:435 step:27K smpl:2M ep:6K epch:23.05 loss:0.037 grdn:5.004 lr:1.7e-05 updt_s:1.256 data_s:0.060 Training: 39%|███▉ | 27201/70000 [9:37:04<14:37:53, 1.23s/step] Training: 39%|███▉ | 27202/70000 [9:37:05<14:33:54, 1.23s/step] Training: 39%|███▉ | 27203/70000 [9:37:06<14:57:50, 1.26s/step] Training: 39%|███▉ | 27204/70000 [9:37:08<15:07:53, 1.27s/step] Training: 39%|███▉ | 27205/70000 [9:37:09<14:58:37, 1.26s/step] Training: 39%|███▉ | 27206/70000 [9:37:10<15:36:05, 1.31s/step] Training: 39%|███▉ | 27207/70000 [9:37:11<15:10:52, 1.28s/step] Training: 39%|███▉ | 27208/70000 [9:37:13<14:52:08, 1.25s/step] Training: 39%|███▉ | 27209/70000 [9:37:14<14:39:12, 1.23s/step] Training: 39%|███▉ | 27210/70000 [9:37:15<15:00:18, 1.26s/step] Training: 39%|███▉ | 27211/70000 [9:37:16<14:46:58, 1.24s/step] Training: 39%|███▉ | 27212/70000 [9:37:18<15:29:45, 1.30s/step] Training: 39%|███▉ | 27213/70000 [9:37:19<15:52:24, 1.34s/step] Training: 39%|███▉ | 27214/70000 [9:37:20<15:52:13, 1.34s/step] Training: 39%|███▉ | 27215/70000 [9:37:22<15:21:02, 1.29s/step] Training: 39%|███▉ | 27216/70000 [9:37:23<14:59:22, 1.26s/step] Training: 39%|███▉ | 27217/70000 [9:37:24<14:43:54, 1.24s/step] Training: 39%|███▉ | 27218/70000 [9:37:25<15:02:07, 1.27s/step] Training: 39%|███▉ | 27219/70000 [9:37:27<14:56:01, 1.26s/step] Training: 39%|███▉ | 27220/70000 [9:37:28<15:04:13, 1.27s/step] Training: 39%|███▉ | 27221/70000 [9:37:29<15:40:11, 1.32s/step] Training: 39%|███▉ | 27222/70000 [9:37:31<15:16:27, 1.29s/step] Training: 39%|███▉ | 27223/70000 [9:37:32<14:55:30, 1.26s/step] Training: 39%|███▉ | 27224/70000 [9:37:33<14:41:42, 1.24s/step] Training: 39%|███▉ | 27225/70000 [9:37:34<14:33:25, 1.23s/step] Training: 39%|███▉ | 27226/70000 [9:37:35<14:33:48, 1.23s/step] Training: 39%|███▉ | 27227/70000 [9:37:37<14:55:11, 1.26s/step] Training: 39%|███▉ | 27228/70000 [9:37:38<15:05:00, 1.27s/step] Training: 39%|███▉ | 27229/70000 [9:37:39<15:38:50, 1.32s/step] Training: 39%|███▉ | 27230/70000 [9:37:41<15:41:42, 1.32s/step] Training: 39%|███▉ | 27231/70000 [9:37:42<15:13:02, 1.28s/step] Training: 39%|███▉ | 27232/70000 [9:37:43<14:53:33, 1.25s/step] Training: 39%|███▉ | 27233/70000 [9:37:44<14:40:08, 1.23s/step] Training: 39%|███▉ | 27234/70000 [9:37:46<14:35:50, 1.23s/step] Training: 39%|███▉ | 27235/70000 [9:37:47<14:58:47, 1.26s/step] Training: 39%|███▉ | 27236/70000 [9:37:48<14:44:28, 1.24s/step] Training: 39%|███▉ | 27237/70000 [9:37:49<14:40:43, 1.24s/step] Training: 39%|███▉ | 27238/70000 [9:37:51<15:19:58, 1.29s/step] Training: 39%|███▉ | 27239/70000 [9:37:52<14:57:57, 1.26s/step] Training: 39%|███▉ | 27240/70000 [9:37:53<14:42:24, 1.24s/step] Training: 39%|███▉ | 27241/70000 [9:37:54<14:31:42, 1.22s/step] Training: 39%|███▉ | 27242/70000 [9:37:56<14:55:41, 1.26s/step] Training: 39%|███▉ | 27243/70000 [9:37:57<14:48:47, 1.25s/step] Training: 39%|███▉ | 27244/70000 [9:37:58<14:43:22, 1.24s/step] Training: 39%|███▉ | 27245/70000 [9:37:59<14:44:35, 1.24s/step] Training: 39%|███▉ | 27246/70000 [9:38:01<15:03:46, 1.27s/step] Training: 39%|███▉ | 27247/70000 [9:38:02<14:46:31, 1.24s/step] Training: 39%|███▉ | 27248/70000 [9:38:03<14:34:37, 1.23s/step] Training: 39%|███▉ | 27249/70000 [9:38:04<14:27:11, 1.22s/step] Training: 39%|███▉ | 27250/70000 [9:38:06<14:50:15, 1.25s/step] Training: 39%|███▉ | 27251/70000 [9:38:07<15:09:38, 1.28s/step] Training: 39%|███▉ | 27252/70000 [9:38:08<15:00:00, 1.26s/step] Training: 39%|███▉ | 27253/70000 [9:38:09<15:22:35, 1.29s/step] Training: 39%|███▉ | 27254/70000 [9:38:11<15:06:45, 1.27s/step] Training: 39%|███▉ | 27255/70000 [9:38:12<14:48:44, 1.25s/step] Training: 39%|███▉ | 27256/70000 [9:38:13<14:36:24, 1.23s/step] Training: 39%|███▉ | 27257/70000 [9:38:14<14:27:26, 1.22s/step] Training: 39%|███▉ | 27258/70000 [9:38:15<14:32:59, 1.23s/step] Training: 39%|███▉ | 27259/70000 [9:38:17<14:56:54, 1.26s/step] Training: 39%|███▉ | 27260/70000 [9:38:18<15:11:58, 1.28s/step] Training: 39%|███▉ | 27261/70000 [9:38:19<15:20:39, 1.29s/step] Training: 39%|███▉ | 27262/70000 [9:38:21<15:52:29, 1.34s/step] Training: 39%|███▉ | 27263/70000 [9:38:22<15:20:42, 1.29s/step] Training: 39%|███▉ | 27264/70000 [9:38:23<14:58:38, 1.26s/step] Training: 39%|███▉ | 27265/70000 [9:38:24<14:43:13, 1.24s/step] Training: 39%|███▉ | 27266/70000 [9:38:26<14:35:38, 1.23s/step] Training: 39%|███▉ | 27267/70000 [9:38:27<14:57:02, 1.26s/step] Training: 39%|███▉ | 27268/70000 [9:38:28<15:12:28, 1.28s/step] Training: 39%|███▉ | 27269/70000 [9:38:30<15:29:30, 1.31s/step] Training: 39%|███▉ | 27270/70000 [9:38:31<15:53:41, 1.34s/step] Training: 39%|███▉ | 27271/70000 [9:38:32<15:21:20, 1.29s/step] Training: 39%|███▉ | 27272/70000 [9:38:34<14:59:21, 1.26s/step] Training: 39%|███▉ | 27273/70000 [9:38:35<14:43:04, 1.24s/step] Training: 39%|███▉ | 27274/70000 [9:38:36<14:32:24, 1.23s/step] Training: 39%|███▉ | 27275/70000 [9:38:37<14:56:01, 1.26s/step] Training: 39%|███▉ | 27276/70000 [9:38:38<14:50:05, 1.25s/step] Training: 39%|███▉ | 27277/70000 [9:38:40<15:06:42, 1.27s/step] Training: 39%|███▉ | 27278/70000 [9:38:41<15:22:56, 1.30s/step] Training: 39%|███▉ | 27279/70000 [9:38:42<15:33:18, 1.31s/step] Training: 39%|███▉ | 27280/70000 [9:38:44<15:04:57, 1.27s/step] Training: 39%|███▉ | 27281/70000 [9:38:45<14:47:17, 1.25s/step] Training: 39%|███▉ | 27282/70000 [9:38:46<14:35:02, 1.23s/step] Training: 39%|███▉ | 27283/70000 [9:38:47<15:11:19, 1.28s/step] Training: 39%|███▉ | 27284/70000 [9:38:49<14:57:27, 1.26s/step] Training: 39%|███▉ | 27285/70000 [9:38:50<15:20:32, 1.29s/step] Training: 39%|███▉ | 27286/70000 [9:38:51<15:33:57, 1.31s/step] Training: 39%|███▉ | 27287/70000 [9:38:53<15:06:17, 1.27s/step] Training: 39%|███▉ | 27288/70000 [9:38:54<14:47:35, 1.25s/step] Training: 39%|███▉ | 27289/70000 [9:38:55<14:36:18, 1.23s/step] Training: 39%|███▉ | 27290/70000 [9:38:56<14:26:44, 1.22s/step] Training: 39%|███▉ | 27291/70000 [9:38:57<14:50:24, 1.25s/step] Training: 39%|███▉ | 27292/70000 [9:38:59<15:09:35, 1.28s/step] Training: 39%|███▉ | 27293/70000 [9:39:00<15:21:42, 1.29s/step] Training: 39%|███▉ | 27294/70000 [9:39:01<15:29:38, 1.31s/step] Training: 39%|███▉ | 27295/70000 [9:39:03<15:40:07, 1.32s/step] Training: 39%|███▉ | 27296/70000 [9:39:04<15:10:16, 1.28s/step] Training: 39%|███▉ | 27297/70000 [9:39:05<14:51:02, 1.25s/step] Training: 39%|███▉ | 27298/70000 [9:39:06<14:38:07, 1.23s/step] Training: 39%|███▉ | 27299/70000 [9:39:08<14:58:31, 1.26s/step] Training: 39%|███▉ | 27300/70000 [9:39:09<15:15:31, 1.29s/step]INFO 2026-03-13 05:49:01 ot_train.py:435 step:27K smpl:2M ep:6K epch:23.14 loss:0.033 grdn:4.969 lr:1.7e-05 updt_s:1.244 data_s:0.019 Training: 39%|███▉ | 27301/70000 [9:39:11<15:53:24, 1.34s/step] Training: 39%|███▉ | 27302/70000 [9:39:12<15:51:52, 1.34s/step] Training: 39%|███▉ | 27303/70000 [9:39:13<15:54:15, 1.34s/step] Training: 39%|███▉ | 27304/70000 [9:39:14<15:20:47, 1.29s/step] Training: 39%|███▉ | 27305/70000 [9:39:16<14:59:07, 1.26s/step] Training: 39%|███▉ | 27306/70000 [9:39:17<14:41:42, 1.24s/step] Training: 39%|███▉ | 27307/70000 [9:39:18<15:09:25, 1.28s/step] Training: 39%|███▉ | 27308/70000 [9:39:19<15:02:39, 1.27s/step] Training: 39%|███▉ | 27309/70000 [9:39:21<15:13:32, 1.28s/step] Training: 39%|███▉ | 27310/70000 [9:39:22<15:21:42, 1.30s/step] Training: 39%|███▉ | 27311/70000 [9:39:23<14:58:56, 1.26s/step] Training: 39%|███▉ | 27312/70000 [9:39:24<14:43:26, 1.24s/step] Training: 39%|███▉ | 27313/70000 [9:39:26<14:32:30, 1.23s/step] Training: 39%|███▉ | 27314/70000 [9:39:27<14:25:04, 1.22s/step] Training: 39%|███▉ | 27315/70000 [9:39:28<14:50:32, 1.25s/step] Training: 39%|███▉ | 27316/70000 [9:39:29<14:44:36, 1.24s/step] Training: 39%|███▉ | 27317/70000 [9:39:31<15:12:41, 1.28s/step] Training: 39%|███▉ | 27318/70000 [9:39:32<14:58:10, 1.26s/step] Training: 39%|███▉ | 27319/70000 [9:39:33<14:59:12, 1.26s/step] Training: 39%|███▉ | 27320/70000 [9:39:34<14:43:00, 1.24s/step] Training: 39%|███▉ | 27321/70000 [9:39:36<14:31:57, 1.23s/step] Training: 39%|███▉ | 27322/70000 [9:39:37<14:24:02, 1.21s/step] Training: 39%|███▉ | 27323/70000 [9:39:38<14:48:31, 1.25s/step] Training: 39%|███▉ | 27324/70000 [9:39:39<15:06:20, 1.27s/step] Training: 39%|███▉ | 27325/70000 [9:39:41<15:17:42, 1.29s/step] Training: 39%|███▉ | 27326/70000 [9:39:42<15:25:22, 1.30s/step] Training: 39%|███▉ | 27327/70000 [9:39:43<15:15:40, 1.29s/step] Training: 39%|███▉ | 27328/70000 [9:39:45<14:53:05, 1.26s/step] Training: 39%|███▉ | 27329/70000 [9:39:46<14:38:26, 1.24s/step] Training: 39%|███▉ | 27330/70000 [9:39:47<14:29:00, 1.22s/step] Training: 39%|███▉ | 27331/70000 [9:39:48<14:52:50, 1.26s/step] Training: 39%|███▉ | 27332/70000 [9:39:50<15:07:54, 1.28s/step] Training: 39%|███▉ | 27333/70000 [9:39:51<15:28:02, 1.31s/step] Training: 39%|███▉ | 27334/70000 [9:39:52<15:34:26, 1.31s/step] Training: 39%|███▉ | 27335/70000 [9:39:53<15:07:54, 1.28s/step] Training: 39%|███▉ | 27336/70000 [9:39:55<15:19:29, 1.29s/step] Training: 39%|███▉ | 27337/70000 [9:39:56<14:55:03, 1.26s/step] Training: 39%|███▉ | 27338/70000 [9:39:57<14:40:42, 1.24s/step] Training: 39%|███▉ | 27339/70000 [9:39:58<15:03:25, 1.27s/step] Training: 39%|███▉ | 27340/70000 [9:40:00<14:53:16, 1.26s/step] Training: 39%|███▉ | 27341/70000 [9:40:01<15:10:10, 1.28s/step] Training: 39%|███▉ | 27342/70000 [9:40:02<14:57:04, 1.26s/step] Training: 39%|███▉ | 27343/70000 [9:40:03<14:41:54, 1.24s/step] Training: 39%|███▉ | 27344/70000 [9:40:05<14:55:19, 1.26s/step] Training: 39%|███▉ | 27345/70000 [9:40:06<14:39:24, 1.24s/step] Training: 39%|███▉ | 27346/70000 [9:40:07<14:30:37, 1.22s/step] Training: 39%|███▉ | 27347/70000 [9:40:08<14:52:51, 1.26s/step] Training: 39%|███▉ | 27348/70000 [9:40:10<14:42:58, 1.24s/step] Training: 39%|███▉ | 27349/70000 [9:40:11<14:42:43, 1.24s/step] Training: 39%|███▉ | 27350/70000 [9:40:12<15:01:41, 1.27s/step] Training: 39%|███▉ | 27351/70000 [9:40:13<14:45:18, 1.25s/step] Training: 39%|███▉ | 27352/70000 [9:40:15<15:08:04, 1.28s/step] Training: 39%|███▉ | 27353/70000 [9:40:16<14:47:27, 1.25s/step] Training: 39%|███▉ | 27354/70000 [9:40:17<14:34:44, 1.23s/step] Training: 39%|███▉ | 27355/70000 [9:40:18<14:55:07, 1.26s/step] Training: 39%|███▉ | 27356/70000 [9:40:20<15:12:30, 1.28s/step] Training: 39%|███▉ | 27357/70000 [9:40:21<15:23:53, 1.30s/step] Training: 39%|███▉ | 27358/70000 [9:40:22<14:59:59, 1.27s/step] Training: 39%|███▉ | 27359/70000 [9:40:24<15:10:25, 1.28s/step] Training: 39%|███▉ | 27360/70000 [9:40:25<15:28:03, 1.31s/step] Training: 39%|███▉ | 27361/70000 [9:40:26<15:00:27, 1.27s/step] Training: 39%|███▉ | 27362/70000 [9:40:27<14:43:42, 1.24s/step] Training: 39%|███▉ | 27363/70000 [9:40:29<15:04:29, 1.27s/step] Training: 39%|███▉ | 27364/70000 [9:40:30<15:15:44, 1.29s/step] Training: 39%|███▉ | 27365/70000 [9:40:31<15:27:53, 1.31s/step] Training: 39%|███▉ | 27366/70000 [9:40:33<15:02:23, 1.27s/step] Training: 39%|███▉ | 27367/70000 [9:40:34<14:44:27, 1.24s/step] Training: 39%|███▉ | 27368/70000 [9:40:35<14:32:22, 1.23s/step] Training: 39%|███▉ | 27369/70000 [9:40:36<14:57:17, 1.26s/step] Training: 39%|███▉ | 27370/70000 [9:40:38<14:39:51, 1.24s/step] Training: 39%|███▉ | 27371/70000 [9:40:39<15:04:06, 1.27s/step] Training: 39%|███▉ | 27372/70000 [9:40:40<14:56:12, 1.26s/step] Training: 39%|███▉ | 27373/70000 [9:40:41<15:10:14, 1.28s/step] Training: 39%|███▉ | 27374/70000 [9:40:43<14:58:37, 1.26s/step] Training: 39%|███▉ | 27375/70000 [9:40:44<14:42:43, 1.24s/step] Training: 39%|███▉ | 27376/70000 [9:40:45<14:31:42, 1.23s/step] Training: 39%|███▉ | 27377/70000 [9:40:46<14:59:45, 1.27s/step] Training: 39%|███▉ | 27378/70000 [9:40:48<14:41:34, 1.24s/step] Training: 39%|███▉ | 27379/70000 [9:40:49<15:01:06, 1.27s/step] Training: 39%|███▉ | 27380/70000 [9:40:50<14:55:50, 1.26s/step] Training: 39%|███▉ | 27381/70000 [9:40:51<14:48:26, 1.25s/step] Training: 39%|███▉ | 27382/70000 [9:40:53<15:02:38, 1.27s/step] Training: 39%|███▉ | 27383/70000 [9:40:54<14:47:53, 1.25s/step] Training: 39%|███▉ | 27384/70000 [9:40:55<14:35:38, 1.23s/step] Training: 39%|███▉ | 27385/70000 [9:40:56<14:30:37, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=51843 Training: 39%|███▉ | 27386/70000 [9:40:57<14:24:40, 1.22s/step] Training: 39%|███▉ | 27387/70000 [9:40:59<14:45:30, 1.25s/step] Training: 39%|███▉ | 27388/70000 [9:41:00<14:38:13, 1.24s/step] Training: 39%|███▉ | 27389/70000 [9:41:01<15:20:48, 1.30s/step] Training: 39%|███▉ | 27390/70000 [9:41:03<15:29:32, 1.31s/step] Training: 39%|███▉ | 27391/70000 [9:41:04<15:04:19, 1.27s/step] Training: 39%|███▉ | 27392/70000 [9:41:05<14:48:08, 1.25s/step] Training: 39%|███▉ | 27393/70000 [9:41:07<15:10:56, 1.28s/step] Training: 39%|███▉ | 27394/70000 [9:41:08<14:48:41, 1.25s/step] Training: 39%|███▉ | 27395/70000 [9:41:09<15:04:38, 1.27s/step] Training: 39%|███▉ | 27396/70000 [9:41:10<15:14:45, 1.29s/step] Training: 39%|███▉ | 27397/70000 [9:41:12<15:46:29, 1.33s/step] Training: 39%|███▉ | 27398/70000 [9:41:13<15:46:25, 1.33s/step] Training: 39%|███▉ | 27399/70000 [9:41:14<15:16:11, 1.29s/step] Training: 39%|███▉ | 27400/70000 [9:41:16<14:53:56, 1.26s/step]INFO 2026-03-13 05:51:08 ot_train.py:435 step:27K smpl:2M ep:6K epch:23.22 loss:0.035 grdn:5.448 lr:1.7e-05 updt_s:1.244 data_s:0.019 Training: 39%|███▉ | 27401/70000 [9:41:17<14:49:08, 1.25s/step] Training: 39%|███▉ | 27402/70000 [9:41:18<14:33:27, 1.23s/step] Training: 39%|███▉ | 27403/70000 [9:41:19<15:03:32, 1.27s/step] Training: 39%|███▉ | 27404/70000 [9:41:21<15:14:08, 1.29s/step] Training: 39%|███▉ | 27405/70000 [9:41:22<15:46:00, 1.33s/step] Training: 39%|███▉ | 27406/70000 [9:41:23<15:23:38, 1.30s/step] Training: 39%|███▉ | 27407/70000 [9:41:24<14:59:06, 1.27s/step] Training: 39%|███▉ | 27408/70000 [9:41:26<14:43:22, 1.24s/step] Training: 39%|███▉ | 27409/70000 [9:41:27<14:31:44, 1.23s/step] Training: 39%|███▉ | 27410/70000 [9:41:28<14:58:51, 1.27s/step] Training: 39%|███▉ | 27411/70000 [9:41:30<15:11:30, 1.28s/step] Training: 39%|███▉ | 27412/70000 [9:41:31<14:52:47, 1.26s/step] Training: 39%|███▉ | 27413/70000 [9:41:32<14:47:15, 1.25s/step] Training: 39%|███▉ | 27414/70000 [9:41:33<15:00:11, 1.27s/step] Training: 39%|███▉ | 27415/70000 [9:41:34<14:44:27, 1.25s/step] Training: 39%|███▉ | 27416/70000 [9:41:36<14:32:53, 1.23s/step] Training: 39%|███▉ | 27417/70000 [9:41:37<14:24:08, 1.22s/step] Training: 39%|███▉ | 27418/70000 [9:41:38<14:46:37, 1.25s/step] Training: 39%|███▉ | 27419/70000 [9:41:39<15:03:18, 1.27s/step] Training: 39%|███▉ | 27420/70000 [9:41:41<14:46:06, 1.25s/step] Training: 39%|███▉ | 27421/70000 [9:41:42<14:38:14, 1.24s/step] Training: 39%|███▉ | 27422/70000 [9:41:43<15:01:14, 1.27s/step] Training: 39%|███▉ | 27423/70000 [9:41:44<14:44:00, 1.25s/step] Training: 39%|███▉ | 27424/70000 [9:41:46<14:32:33, 1.23s/step] Training: 39%|███▉ | 27425/70000 [9:41:47<14:24:15, 1.22s/step] Training: 39%|███▉ | 27426/70000 [9:41:48<14:54:19, 1.26s/step] Training: 39%|███▉ | 27427/70000 [9:41:50<15:20:09, 1.30s/step] Training: 39%|███▉ | 27428/70000 [9:41:51<14:57:06, 1.26s/step] Training: 39%|███▉ | 27429/70000 [9:41:52<15:19:08, 1.30s/step] Training: 39%|███▉ | 27430/70000 [9:41:53<15:26:00, 1.31s/step] Training: 39%|███▉ | 27431/70000 [9:41:55<15:01:36, 1.27s/step] Training: 39%|███▉ | 27432/70000 [9:41:56<14:44:30, 1.25s/step] Training: 39%|███▉ | 27433/70000 [9:41:57<14:31:53, 1.23s/step] Training: 39%|███▉ | 27434/70000 [9:41:58<14:24:40, 1.22s/step] Training: 39%|███▉ | 27435/70000 [9:42:00<15:09:36, 1.28s/step] Training: 39%|███▉ | 27436/70000 [9:42:01<14:51:19, 1.26s/step] Training: 39%|███▉ | 27437/70000 [9:42:02<15:05:56, 1.28s/step] Training: 39%|███▉ | 27438/70000 [9:42:03<14:54:39, 1.26s/step] Training: 39%|███▉ | 27439/70000 [9:42:05<14:39:01, 1.24s/step] Training: 39%|███▉ | 27440/70000 [9:42:06<14:28:33, 1.22s/step] Training: 39%|███▉ | 27441/70000 [9:42:07<14:20:54, 1.21s/step] Training: 39%|███▉ | 27442/70000 [9:42:08<14:15:44, 1.21s/step] Training: 39%|███▉ | 27443/70000 [9:42:10<15:08:12, 1.28s/step] Training: 39%|███▉ | 27444/70000 [9:42:11<14:50:01, 1.25s/step] Training: 39%|███▉ | 27445/70000 [9:42:12<15:15:08, 1.29s/step] Training: 39%|███▉ | 27446/70000 [9:42:13<14:58:34, 1.27s/step] Training: 39%|███▉ | 27447/70000 [9:42:15<14:42:11, 1.24s/step] Training: 39%|███▉ | 27448/70000 [9:42:16<14:31:15, 1.23s/step] Training: 39%|███▉ | 27449/70000 [9:42:17<14:22:59, 1.22s/step] Training: 39%|███▉ | 27450/70000 [9:42:18<14:17:59, 1.21s/step] Training: 39%|███▉ | 27451/70000 [9:42:19<14:42:46, 1.24s/step] Training: 39%|███▉ | 27452/70000 [9:42:21<14:57:51, 1.27s/step] Training: 39%|███▉ | 27453/70000 [9:42:22<15:12:42, 1.29s/step] Training: 39%|███▉ | 27454/70000 [9:42:23<15:21:01, 1.30s/step] Training: 39%|███▉ | 27455/70000 [9:42:25<14:57:34, 1.27s/step] Training: 39%|███▉ | 27456/70000 [9:42:26<14:42:22, 1.24s/step] Training: 39%|███▉ | 27457/70000 [9:42:27<14:29:52, 1.23s/step] Training: 39%|███▉ | 27458/70000 [9:42:28<14:21:51, 1.22s/step] Training: 39%|███▉ | 27459/70000 [9:42:30<14:55:02, 1.26s/step] Training: 39%|███▉ | 27460/70000 [9:42:31<14:50:57, 1.26s/step] Training: 39%|███▉ | 27461/70000 [9:42:32<15:15:28, 1.29s/step] Training: 39%|███▉ | 27462/70000 [9:42:34<15:24:44, 1.30s/step] Training: 39%|███▉ | 27463/70000 [9:42:35<15:00:58, 1.27s/step] Training: 39%|███▉ | 27464/70000 [9:42:36<14:43:13, 1.25s/step] Training: 39%|███▉ | 27465/70000 [9:42:37<14:31:08, 1.23s/step] Training: 39%|███▉ | 27466/70000 [9:42:38<14:24:40, 1.22s/step] Training: 39%|███▉ | 27467/70000 [9:42:40<14:55:09, 1.26s/step] Training: 39%|███▉ | 27468/70000 [9:42:41<14:43:13, 1.25s/step] Training: 39%|███▉ | 27469/70000 [9:42:42<14:59:26, 1.27s/step] Training: 39%|███▉ | 27470/70000 [9:42:43<14:50:01, 1.26s/step] Training: 39%|███▉ | 27471/70000 [9:42:45<14:35:11, 1.23s/step] Training: 39%|███▉ | 27472/70000 [9:42:46<14:24:41, 1.22s/step] Training: 39%|███▉ | 27473/70000 [9:42:47<14:18:40, 1.21s/step] Training: 39%|███▉ | 27474/70000 [9:42:48<14:14:12, 1.21s/step] Training: 39%|███▉ | 27475/70000 [9:42:49<14:41:24, 1.24s/step] Training: 39%|███▉ | 27476/70000 [9:42:51<15:01:12, 1.27s/step] Training: 39%|███▉ | 27477/70000 [9:42:52<15:25:41, 1.31s/step] Training: 39%|███▉ | 27478/70000 [9:42:53<15:03:32, 1.27s/step] Training: 39%|███▉ | 27479/70000 [9:42:55<14:45:19, 1.25s/step] Training: 39%|███▉ | 27480/70000 [9:42:56<14:32:31, 1.23s/step] Training: 39%|███▉ | 27481/70000 [9:42:57<14:24:07, 1.22s/step] Training: 39%|███▉ | 27482/70000 [9:42:58<14:17:58, 1.21s/step] Training: 39%|███▉ | 27483/70000 [9:43:00<14:43:30, 1.25s/step] Training: 39%|███▉ | 27484/70000 [9:43:01<15:23:09, 1.30s/step] Training: 39%|███▉ | 27485/70000 [9:43:02<15:31:30, 1.31s/step] Training: 39%|███▉ | 27486/70000 [9:43:04<15:34:56, 1.32s/step] Training: 39%|███▉ | 27487/70000 [9:43:05<15:07:12, 1.28s/step] Training: 39%|███▉ | 27488/70000 [9:43:06<14:48:42, 1.25s/step] Training: 39%|███▉ | 27489/70000 [9:43:07<14:35:14, 1.24s/step] Training: 39%|███▉ | 27490/70000 [9:43:08<14:24:47, 1.22s/step] Training: 39%|███▉ | 27491/70000 [9:43:10<14:56:03, 1.26s/step] Training: 39%|███▉ | 27492/70000 [9:43:11<15:26:37, 1.31s/step] Training: 39%|███▉ | 27493/70000 [9:43:13<15:39:37, 1.33s/step] Training: 39%|███▉ | 27494/70000 [9:43:14<15:42:52, 1.33s/step] Training: 39%|███▉ | 27495/70000 [9:43:15<15:14:24, 1.29s/step] Training: 39%|███▉ | 27496/70000 [9:43:16<14:53:48, 1.26s/step] Training: 39%|███▉ | 27497/70000 [9:43:17<14:41:02, 1.24s/step] Training: 39%|███▉ | 27498/70000 [9:43:19<14:29:38, 1.23s/step] Training: 39%|███▉ | 27499/70000 [9:43:20<14:51:31, 1.26s/step] Training: 39%|███▉ | 27500/70000 [9:43:21<15:11:46, 1.29s/step]INFO 2026-03-13 05:53:13 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.31 loss:0.035 grdn:4.961 lr:1.7e-05 updt_s:1.237 data_s:0.019 Training: 39%|███▉ | 27501/70000 [9:43:23<15:17:54, 1.30s/step] Training: 39%|███▉ | 27502/70000 [9:43:24<15:03:31, 1.28s/step] Training: 39%|███▉ | 27503/70000 [9:43:25<14:46:11, 1.25s/step] Training: 39%|███▉ | 27504/70000 [9:43:26<14:31:57, 1.23s/step] Training: 39%|███▉ | 27505/70000 [9:43:27<14:23:01, 1.22s/step] Training: 39%|███▉ | 27506/70000 [9:43:29<14:17:13, 1.21s/step] Training: 39%|███▉ | 27507/70000 [9:43:30<14:45:15, 1.25s/step] Training: 39%|███▉ | 27508/70000 [9:43:31<15:03:45, 1.28s/step] Training: 39%|███▉ | 27509/70000 [9:43:33<15:33:07, 1.32s/step] Training: 39%|███▉ | 27510/70000 [9:43:34<15:13:13, 1.29s/step] Training: 39%|███▉ | 27511/70000 [9:43:35<14:52:08, 1.26s/step] Training: 39%|███▉ | 27512/70000 [9:43:36<14:37:24, 1.24s/step] Training: 39%|███▉ | 27513/70000 [9:43:38<14:28:01, 1.23s/step] Training: 39%|███▉ | 27514/70000 [9:43:39<14:20:50, 1.22s/step] Training: 39%|███▉ | 27515/70000 [9:43:40<14:20:52, 1.22s/step] Training: 39%|███▉ | 27516/70000 [9:43:41<15:03:15, 1.28s/step] Training: 39%|███▉ | 27517/70000 [9:43:43<15:40:43, 1.33s/step] Training: 39%|███▉ | 27518/70000 [9:43:44<15:40:21, 1.33s/step] Training: 39%|███▉ | 27519/70000 [9:43:45<15:11:42, 1.29s/step] Training: 39%|███▉ | 27520/70000 [9:43:47<14:49:57, 1.26s/step] Training: 39%|███▉ | 27521/70000 [9:43:48<14:35:16, 1.24s/step] Training: 39%|███▉ | 27522/70000 [9:43:49<14:24:48, 1.22s/step] Training: 39%|███▉ | 27523/70000 [9:43:50<14:47:58, 1.25s/step] Training: 39%|███▉ | 27524/70000 [9:43:52<15:27:07, 1.31s/step] Training: 39%|███▉ | 27525/70000 [9:43:53<15:42:00, 1.33s/step] Training: 39%|███▉ | 27526/70000 [9:43:54<15:41:20, 1.33s/step] Training: 39%|███▉ | 27527/70000 [9:43:56<15:11:02, 1.29s/step] Training: 39%|███▉ | 27528/70000 [9:43:57<14:50:23, 1.26s/step] Training: 39%|███▉ | 27529/70000 [9:43:58<14:35:37, 1.24s/step] Training: 39%|███▉ | 27530/70000 [9:43:59<14:25:35, 1.22s/step] Training: 39%|███▉ | 27531/70000 [9:44:00<14:45:58, 1.25s/step] Training: 39%|███▉ | 27532/70000 [9:44:02<14:37:54, 1.24s/step] Training: 39%|███▉ | 27533/70000 [9:44:03<15:03:46, 1.28s/step] Training: 39%|███▉ | 27534/70000 [9:44:04<14:52:33, 1.26s/step] Training: 39%|███▉ | 27535/70000 [9:44:05<14:39:19, 1.24s/step] Training: 39%|███▉ | 27536/70000 [9:44:07<14:29:38, 1.23s/step] Training: 39%|███▉ | 27537/70000 [9:44:08<14:21:24, 1.22s/step] Training: 39%|███▉ | 27538/70000 [9:44:09<14:15:21, 1.21s/step] Training: 39%|███▉ | 27539/70000 [9:44:10<14:41:03, 1.24s/step] Training: 39%|███▉ | 27540/70000 [9:44:12<15:20:58, 1.30s/step] Training: 39%|███▉ | 27541/70000 [9:44:13<15:35:48, 1.32s/step] Training: 39%|███▉ | 27542/70000 [9:44:14<15:17:02, 1.30s/step] Training: 39%|███▉ | 27543/70000 [9:44:16<14:54:24, 1.26s/step] Training: 39%|███▉ | 27544/70000 [9:44:17<14:38:17, 1.24s/step] Training: 39%|███▉ | 27545/70000 [9:44:18<14:26:40, 1.22s/step] Training: 39%|███▉ | 27546/70000 [9:44:19<14:19:31, 1.21s/step] Training: 39%|███▉ | 27547/70000 [9:44:20<14:19:10, 1.21s/step] Training: 39%|███▉ | 27548/70000 [9:44:22<14:45:45, 1.25s/step] Training: 39%|███▉ | 27549/70000 [9:44:23<15:25:45, 1.31s/step] Training: 39%|███▉ | 27550/70000 [9:44:24<15:34:14, 1.32s/step] Training: 39%|███▉ | 27551/70000 [9:44:26<15:21:20, 1.30s/step] Training: 39%|███▉ | 27552/70000 [9:44:27<14:57:07, 1.27s/step] Training: 39%|███▉ | 27553/70000 [9:44:28<14:39:53, 1.24s/step] Training: 39%|███▉ | 27554/70000 [9:44:29<14:28:52, 1.23s/step] Training: 39%|███▉ | 27555/70000 [9:44:31<14:51:10, 1.26s/step] Training: 39%|███▉ | 27556/70000 [9:44:32<15:05:35, 1.28s/step] Training: 39%|███▉ | 27557/70000 [9:44:33<15:38:19, 1.33s/step] Training: 39%|███▉ | 27558/70000 [9:44:35<15:53:33, 1.35s/step] Training: 39%|███▉ | 27559/70000 [9:44:36<15:19:39, 1.30s/step] Training: 39%|███▉ | 27560/70000 [9:44:37<14:55:42, 1.27s/step] Training: 39%|███▉ | 27561/70000 [9:44:38<14:39:37, 1.24s/step] Training: 39%|███▉ | 27562/70000 [9:44:40<14:27:38, 1.23s/step] Training: 39%|███▉ | 27563/70000 [9:44:41<14:49:22, 1.26s/step] Training: 39%|███▉ | 27564/70000 [9:44:42<15:04:31, 1.28s/step] Training: 39%|███▉ | 27565/70000 [9:44:44<15:15:53, 1.29s/step] Training: 39%|███▉ | 27566/70000 [9:44:45<14:56:40, 1.27s/step] Training: 39%|███▉ | 27567/70000 [9:44:46<15:15:12, 1.29s/step] Training: 39%|███▉ | 27568/70000 [9:44:47<14:50:54, 1.26s/step] Training: 39%|███▉ | 27569/70000 [9:44:48<14:36:04, 1.24s/step] Training: 39%|███▉ | 27570/70000 [9:44:50<14:25:22, 1.22s/step] Training: 39%|███▉ | 27571/70000 [9:44:51<14:45:21, 1.25s/step] Training: 39%|███▉ | 27572/70000 [9:44:52<15:03:19, 1.28s/step] Training: 39%|███▉ | 27573/70000 [9:44:54<15:22:10, 1.30s/step] Training: 39%|███▉ | 27574/70000 [9:44:55<15:32:53, 1.32s/step] Training: 39%|███▉ | 27575/70000 [9:44:56<15:03:43, 1.28s/step] Training: 39%|███▉ | 27576/70000 [9:44:57<14:44:19, 1.25s/step] Training: 39%|███▉ | 27577/70000 [9:44:59<14:31:15, 1.23s/step] Training: 39%|███▉ | 27578/70000 [9:45:00<14:24:30, 1.22s/step] Training: 39%|███▉ | 27579/70000 [9:45:01<14:22:47, 1.22s/step] Training: 39%|███▉ | 27580/70000 [9:45:02<14:56:49, 1.27s/step] Training: 39%|███▉ | 27581/70000 [9:45:04<15:09:33, 1.29s/step] Training: 39%|███▉ | 27582/70000 [9:45:05<14:49:46, 1.26s/step] Training: 39%|███▉ | 27583/70000 [9:45:06<15:28:57, 1.31s/step] Training: 39%|███▉ | 27584/70000 [9:45:08<15:00:20, 1.27s/step] Training: 39%|███▉ | 27585/70000 [9:45:09<14:42:23, 1.25s/step] Training: 39%|███▉ | 27586/70000 [9:45:10<14:29:51, 1.23s/step] Training: 39%|███▉ | 27587/70000 [9:45:11<14:52:02, 1.26s/step] Training: 39%|███▉ | 27588/70000 [9:45:13<15:04:45, 1.28s/step] Training: 39%|███▉ | 27589/70000 [9:45:14<15:23:26, 1.31s/step] Training: 39%|███▉ | 27590/70000 [9:45:15<14:58:15, 1.27s/step] Training: 39%|███▉ | 27591/70000 [9:45:16<15:15:13, 1.29s/step] Training: 39%|███▉ | 27592/70000 [9:45:18<14:50:40, 1.26s/step] Training: 39%|███▉ | 27593/70000 [9:45:19<14:35:21, 1.24s/step] Training: 39%|███▉ | 27594/70000 [9:45:20<14:24:47, 1.22s/step] Training: 39%|███▉ | 27595/70000 [9:45:21<14:47:20, 1.26s/step] Training: 39%|███▉ | 27596/70000 [9:45:23<15:03:21, 1.28s/step] Training: 39%|███▉ | 27597/70000 [9:45:24<15:15:39, 1.30s/step] Training: 39%|███▉ | 27598/70000 [9:45:25<14:57:28, 1.27s/step] Training: 39%|███▉ | 27599/70000 [9:45:26<14:40:36, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=66978 Training: 39%|███▉ | 27600/70000 [9:45:28<14:28:02, 1.23s/step]INFO 2026-03-13 05:55:20 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.39 loss:0.037 grdn:5.310 lr:1.7e-05 updt_s:1.241 data_s:0.019 Training: 39%|███▉ | 27601/70000 [9:45:29<14:20:39, 1.22s/step] Training: 39%|███▉ | 27602/70000 [9:45:30<14:12:33, 1.21s/step] Training: 39%|███▉ | 27603/70000 [9:45:31<14:38:57, 1.24s/step] Training: 39%|███▉ | 27604/70000 [9:45:33<14:56:28, 1.27s/step] Training: 39%|███▉ | 27605/70000 [9:45:34<15:16:57, 1.30s/step] Training: 39%|███▉ | 27606/70000 [9:45:35<15:02:45, 1.28s/step] Training: 39%|███▉ | 27607/70000 [9:45:36<14:55:46, 1.27s/step] Training: 39%|███▉ | 27608/70000 [9:45:38<14:38:41, 1.24s/step] Training: 39%|███▉ | 27609/70000 [9:45:39<14:28:23, 1.23s/step] Training: 39%|███▉ | 27610/70000 [9:45:40<14:18:17, 1.21s/step] Training: 39%|███▉ | 27611/70000 [9:45:41<14:18:29, 1.22s/step] Training: 39%|███▉ | 27612/70000 [9:45:43<14:54:00, 1.27s/step] Training: 39%|███▉ | 27613/70000 [9:45:44<15:06:05, 1.28s/step] Training: 39%|███▉ | 27614/70000 [9:45:45<14:46:00, 1.25s/step] Training: 39%|███▉ | 27615/70000 [9:45:46<14:57:38, 1.27s/step] Training: 39%|███▉ | 27616/70000 [9:45:48<14:41:52, 1.25s/step] Training: 39%|███▉ | 27617/70000 [9:45:49<14:29:43, 1.23s/step] Training: 39%|███▉ | 27618/70000 [9:45:50<14:20:32, 1.22s/step] Training: 39%|███▉ | 27619/70000 [9:45:51<14:43:39, 1.25s/step] Training: 39%|███▉ | 27620/70000 [9:45:53<14:41:53, 1.25s/step] Training: 39%|███▉ | 27621/70000 [9:45:54<15:06:00, 1.28s/step] Training: 39%|███▉ | 27622/70000 [9:45:55<14:46:05, 1.25s/step] Training: 39%|███▉ | 27623/70000 [9:45:56<14:33:28, 1.24s/step] Training: 39%|███▉ | 27624/70000 [9:45:58<14:56:29, 1.27s/step] Training: 39%|███▉ | 27625/70000 [9:45:59<14:38:40, 1.24s/step] Training: 39%|███▉ | 27626/70000 [9:46:00<14:26:21, 1.23s/step] Training: 39%|███▉ | 27627/70000 [9:46:01<14:48:46, 1.26s/step] Training: 39%|███▉ | 27628/70000 [9:46:03<14:40:15, 1.25s/step] Training: 39%|███▉ | 27629/70000 [9:46:04<15:16:42, 1.30s/step] Training: 39%|███▉ | 27630/70000 [9:46:05<15:01:10, 1.28s/step] Training: 39%|███▉ | 27631/70000 [9:46:06<14:43:02, 1.25s/step] Training: 39%|███▉ | 27632/70000 [9:46:08<14:50:26, 1.26s/step] Training: 39%|███▉ | 27633/70000 [9:46:09<14:34:33, 1.24s/step] Training: 39%|███▉ | 27634/70000 [9:46:10<14:24:00, 1.22s/step] Training: 39%|███▉ | 27635/70000 [9:46:11<14:46:28, 1.26s/step] Training: 39%|███▉ | 27636/70000 [9:46:13<15:03:03, 1.28s/step] Training: 39%|███▉ | 27637/70000 [9:46:14<15:22:36, 1.31s/step] Training: 39%|███▉ | 27638/70000 [9:46:15<15:01:23, 1.28s/step] Training: 39%|███▉ | 27639/70000 [9:46:17<14:42:33, 1.25s/step] Training: 39%|███▉ | 27640/70000 [9:46:18<15:03:47, 1.28s/step] Training: 39%|███▉ | 27641/70000 [9:46:19<14:43:23, 1.25s/step] Training: 39%|███▉ | 27642/70000 [9:46:20<14:28:47, 1.23s/step] Training: 39%|███▉ | 27643/70000 [9:46:21<14:24:23, 1.22s/step] Training: 39%|███▉ | 27644/70000 [9:46:23<14:47:14, 1.26s/step] Training: 39%|███▉ | 27645/70000 [9:46:24<15:01:10, 1.28s/step] Training: 39%|███▉ | 27646/70000 [9:46:25<15:13:41, 1.29s/step] Training: 39%|███▉ | 27647/70000 [9:46:27<14:51:12, 1.26s/step] Training: 39%|███▉ | 27648/70000 [9:46:28<15:11:14, 1.29s/step] Training: 39%|███▉ | 27649/70000 [9:46:29<14:47:55, 1.26s/step] Training: 40%|███▉ | 27650/70000 [9:46:30<14:32:51, 1.24s/step] Training: 40%|███▉ | 27651/70000 [9:46:32<14:51:29, 1.26s/step] Training: 40%|███▉ | 27652/70000 [9:46:33<14:56:10, 1.27s/step] Training: 40%|███▉ | 27653/70000 [9:46:34<15:16:32, 1.30s/step] Training: 40%|███▉ | 27654/70000 [9:46:36<15:23:29, 1.31s/step] Training: 40%|███▉ | 27655/70000 [9:46:37<14:58:47, 1.27s/step] Training: 40%|███▉ | 27656/70000 [9:46:38<14:42:16, 1.25s/step] Training: 40%|███▉ | 27657/70000 [9:46:40<15:26:54, 1.31s/step] Training: 40%|███▉ | 27658/70000 [9:46:41<15:00:06, 1.28s/step] Training: 40%|███▉ | 27659/70000 [9:46:42<15:10:58, 1.29s/step] Training: 40%|███▉ | 27660/70000 [9:46:43<14:55:25, 1.27s/step] Training: 40%|███▉ | 27661/70000 [9:46:45<15:28:33, 1.32s/step] Training: 40%|███▉ | 27662/70000 [9:46:46<15:08:37, 1.29s/step] Training: 40%|███▉ | 27663/70000 [9:46:47<14:47:56, 1.26s/step] Training: 40%|███▉ | 27664/70000 [9:46:48<14:33:03, 1.24s/step] Training: 40%|███▉ | 27665/70000 [9:46:50<14:54:18, 1.27s/step] Training: 40%|███▉ | 27666/70000 [9:46:51<14:36:03, 1.24s/step] Training: 40%|███▉ | 27667/70000 [9:46:52<14:54:55, 1.27s/step] Training: 40%|███▉ | 27668/70000 [9:46:54<15:12:14, 1.29s/step] Training: 40%|███▉ | 27669/70000 [9:46:55<15:27:01, 1.31s/step] Training: 40%|███▉ | 27670/70000 [9:46:56<15:04:39, 1.28s/step] Training: 40%|███▉ | 27671/70000 [9:46:57<14:46:58, 1.26s/step] Training: 40%|███▉ | 27672/70000 [9:46:58<14:32:18, 1.24s/step] Training: 40%|███▉ | 27673/70000 [9:47:00<14:49:28, 1.26s/step] Training: 40%|███▉ | 27674/70000 [9:47:01<14:32:40, 1.24s/step] Training: 40%|███▉ | 27675/70000 [9:47:02<14:28:13, 1.23s/step] Training: 40%|███▉ | 27676/70000 [9:47:04<14:48:19, 1.26s/step] Training: 40%|███▉ | 27677/70000 [9:47:05<15:02:42, 1.28s/step] Training: 40%|███▉ | 27678/70000 [9:47:06<15:12:32, 1.29s/step] Training: 40%|███▉ | 27679/70000 [9:47:07<14:50:05, 1.26s/step] Training: 40%|███▉ | 27680/70000 [9:47:09<14:34:36, 1.24s/step] Training: 40%|███▉ | 27681/70000 [9:47:10<14:57:31, 1.27s/step] Training: 40%|███▉ | 27682/70000 [9:47:11<14:37:45, 1.24s/step] Training: 40%|███▉ | 27683/70000 [9:47:12<14:54:38, 1.27s/step] Training: 40%|███▉ | 27684/70000 [9:47:14<14:55:41, 1.27s/step] Training: 40%|███▉ | 27685/70000 [9:47:15<15:15:08, 1.30s/step] Training: 40%|███▉ | 27686/70000 [9:47:16<15:21:19, 1.31s/step] Training: 40%|███▉ | 27687/70000 [9:47:18<14:56:36, 1.27s/step] Training: 40%|███▉ | 27688/70000 [9:47:19<14:39:01, 1.25s/step] Training: 40%|███▉ | 27689/70000 [9:47:20<14:36:17, 1.24s/step] Training: 40%|███▉ | 27690/70000 [9:47:21<14:22:52, 1.22s/step] Training: 40%|███▉ | 27691/70000 [9:47:22<14:44:33, 1.25s/step] Training: 40%|███▉ | 27692/70000 [9:47:24<14:35:56, 1.24s/step] Training: 40%|███▉ | 27693/70000 [9:47:25<15:11:11, 1.29s/step] Training: 40%|███▉ | 27694/70000 [9:47:26<14:56:34, 1.27s/step] Training: 40%|███▉ | 27695/70000 [9:47:28<14:39:36, 1.25s/step] Training: 40%|███▉ | 27696/70000 [9:47:29<14:27:09, 1.23s/step] Training: 40%|███▉ | 27697/70000 [9:47:30<14:19:22, 1.22s/step] Training: 40%|███▉ | 27698/70000 [9:47:31<14:45:21, 1.26s/step] Training: 40%|███▉ | 27699/70000 [9:47:33<14:57:49, 1.27s/step] Training: 40%|███▉ | 27700/70000 [9:47:34<15:09:22, 1.29s/step]INFO 2026-03-13 05:57:26 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.48 loss:0.038 grdn:5.523 lr:1.7e-05 updt_s:1.242 data_s:0.019 Training: 40%|███▉ | 27701/70000 [9:47:35<15:26:50, 1.31s/step] Training: 40%|███▉ | 27702/70000 [9:47:36<15:05:33, 1.28s/step] Training: 40%|███▉ | 27703/70000 [9:47:38<14:46:27, 1.26s/step] Training: 40%|███▉ | 27704/70000 [9:47:39<14:32:41, 1.24s/step] Training: 40%|███▉ | 27705/70000 [9:47:40<14:22:41, 1.22s/step] Training: 40%|███▉ | 27706/70000 [9:47:41<14:39:25, 1.25s/step] Training: 40%|███▉ | 27707/70000 [9:47:43<14:29:25, 1.23s/step] Training: 40%|███▉ | 27708/70000 [9:47:44<14:54:25, 1.27s/step] Training: 40%|███▉ | 27709/70000 [9:47:45<15:07:41, 1.29s/step] Training: 40%|███▉ | 27710/70000 [9:47:47<15:16:51, 1.30s/step] Training: 40%|███▉ | 27711/70000 [9:47:48<14:53:32, 1.27s/step] Training: 40%|███▉ | 27712/70000 [9:47:49<14:36:56, 1.24s/step] Training: 40%|███▉ | 27713/70000 [9:47:50<14:26:34, 1.23s/step] Training: 40%|███▉ | 27714/70000 [9:47:51<14:52:34, 1.27s/step] Training: 40%|███▉ | 27715/70000 [9:47:53<15:02:39, 1.28s/step] Training: 40%|███▉ | 27716/70000 [9:47:54<15:00:39, 1.28s/step] Training: 40%|███▉ | 27717/70000 [9:47:55<15:19:22, 1.30s/step] Training: 40%|███▉ | 27718/70000 [9:47:57<15:24:05, 1.31s/step] Training: 40%|███▉ | 27719/70000 [9:47:58<14:58:05, 1.27s/step] Training: 40%|███▉ | 27720/70000 [9:47:59<14:39:58, 1.25s/step] Training: 40%|███▉ | 27721/70000 [9:48:00<14:27:22, 1.23s/step] Training: 40%|███▉ | 27722/70000 [9:48:02<14:19:02, 1.22s/step] Training: 40%|███▉ | 27723/70000 [9:48:03<15:01:49, 1.28s/step] Training: 40%|███▉ | 27724/70000 [9:48:04<14:47:35, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29888 Training: 40%|███▉ | 27725/70000 [9:48:06<15:23:41, 1.31s/step] Training: 40%|███▉ | 27726/70000 [9:48:07<15:04:49, 1.28s/step] Training: 40%|███▉ | 27727/70000 [9:48:08<14:44:31, 1.26s/step] Training: 40%|███▉ | 27728/70000 [9:48:09<14:30:39, 1.24s/step] Training: 40%|███▉ | 27729/70000 [9:48:10<14:20:15, 1.22s/step] Training: 40%|███▉ | 27730/70000 [9:48:12<14:14:06, 1.21s/step] Training: 40%|███▉ | 27731/70000 [9:48:13<14:57:56, 1.27s/step] Training: 40%|███▉ | 27732/70000 [9:48:14<15:08:03, 1.29s/step] Training: 40%|███▉ | 27733/70000 [9:48:16<15:22:46, 1.31s/step] Training: 40%|███▉ | 27734/70000 [9:48:17<15:00:17, 1.28s/step] Training: 40%|███▉ | 27735/70000 [9:48:18<14:41:12, 1.25s/step] Training: 40%|███▉ | 27736/70000 [9:48:19<14:27:49, 1.23s/step] Training: 40%|███▉ | 27737/70000 [9:48:20<14:18:42, 1.22s/step] Training: 40%|███▉ | 27738/70000 [9:48:22<14:12:45, 1.21s/step] Training: 40%|███▉ | 27739/70000 [9:48:23<14:14:00, 1.21s/step] Training: 40%|███▉ | 27740/70000 [9:48:24<14:43:37, 1.25s/step] Training: 40%|███▉ | 27741/70000 [9:48:26<14:59:39, 1.28s/step] Training: 40%|███▉ | 27742/70000 [9:48:27<15:11:12, 1.29s/step] Training: 40%|███▉ | 27743/70000 [9:48:28<14:49:49, 1.26s/step] Training: 40%|███▉ | 27744/70000 [9:48:29<14:34:05, 1.24s/step] Training: 40%|███▉ | 27745/70000 [9:48:30<14:23:01, 1.23s/step] Training: 40%|███▉ | 27746/70000 [9:48:32<14:15:01, 1.21s/step] Training: 40%|███▉ | 27747/70000 [9:48:33<14:46:39, 1.26s/step] Training: 40%|███▉ | 27748/70000 [9:48:34<14:48:18, 1.26s/step] Training: 40%|███▉ | 27749/70000 [9:48:36<15:10:24, 1.29s/step] Training: 40%|███▉ | 27750/70000 [9:48:37<15:16:23, 1.30s/step] Training: 40%|███▉ | 27751/70000 [9:48:38<14:53:57, 1.27s/step] Training: 40%|███▉ | 27752/70000 [9:48:39<14:36:01, 1.24s/step] Training: 40%|███▉ | 27753/70000 [9:48:41<14:24:03, 1.23s/step] Training: 40%|███▉ | 27754/70000 [9:48:42<14:15:23, 1.21s/step] Training: 40%|███▉ | 27755/70000 [9:48:43<14:38:56, 1.25s/step] Training: 40%|███▉ | 27756/70000 [9:48:44<14:30:41, 1.24s/step] Training: 40%|███▉ | 27757/70000 [9:48:46<15:09:02, 1.29s/step] Training: 40%|███▉ | 27758/70000 [9:48:47<14:54:59, 1.27s/step] Training: 40%|███▉ | 27759/70000 [9:48:48<14:37:47, 1.25s/step] Training: 40%|███▉ | 27760/70000 [9:48:49<14:25:02, 1.23s/step] Training: 40%|███▉ | 27761/70000 [9:48:50<14:17:26, 1.22s/step] Training: 40%|███▉ | 27762/70000 [9:48:52<14:11:31, 1.21s/step] Training: 40%|███▉ | 27763/70000 [9:48:53<14:36:48, 1.25s/step] Training: 40%|███▉ | 27764/70000 [9:48:54<15:19:47, 1.31s/step] Training: 40%|███▉ | 27765/70000 [9:48:56<15:50:15, 1.35s/step] Training: 40%|███▉ | 27766/70000 [9:48:57<15:19:44, 1.31s/step] Training: 40%|███▉ | 27767/70000 [9:48:58<14:55:08, 1.27s/step] Training: 40%|███▉ | 27768/70000 [9:48:59<14:38:07, 1.25s/step] Training: 40%|███▉ | 27769/70000 [9:49:01<14:25:43, 1.23s/step] Training: 40%|███▉ | 27770/70000 [9:49:02<14:16:51, 1.22s/step] Training: 40%|███▉ | 27771/70000 [9:49:03<14:16:30, 1.22s/step] Training: 40%|███▉ | 27772/70000 [9:49:04<14:51:03, 1.27s/step] Training: 40%|███▉ | 27773/70000 [9:49:06<15:25:49, 1.32s/step] Training: 40%|███▉ | 27774/70000 [9:49:07<15:29:54, 1.32s/step] Training: 40%|███▉ | 27775/70000 [9:49:08<15:01:50, 1.28s/step] Training: 40%|███▉ | 27776/70000 [9:49:10<14:42:50, 1.25s/step] Training: 40%|███▉ | 27777/70000 [9:49:11<14:28:56, 1.23s/step] Training: 40%|███▉ | 27778/70000 [9:49:12<14:19:19, 1.22s/step] Training: 40%|███▉ | 27779/70000 [9:49:13<14:41:56, 1.25s/step] Training: 40%|███▉ | 27780/70000 [9:49:15<14:50:36, 1.27s/step] Training: 40%|███▉ | 27781/70000 [9:49:16<14:39:55, 1.25s/step] Training: 40%|███▉ | 27782/70000 [9:49:17<15:16:14, 1.30s/step] Training: 40%|███▉ | 27783/70000 [9:49:18<14:52:10, 1.27s/step] Training: 40%|███▉ | 27784/70000 [9:49:20<14:36:54, 1.25s/step] Training: 40%|███▉ | 27785/70000 [9:49:21<14:25:03, 1.23s/step] Training: 40%|███▉ | 27786/70000 [9:49:22<14:17:11, 1.22s/step] Training: 40%|███▉ | 27787/70000 [9:49:23<14:39:41, 1.25s/step] Training: 40%|███▉ | 27788/70000 [9:49:25<14:31:43, 1.24s/step] Training: 40%|███▉ | 27789/70000 [9:49:26<15:07:42, 1.29s/step] Training: 40%|███▉ | 27790/70000 [9:49:27<14:54:14, 1.27s/step] Training: 40%|███▉ | 27791/70000 [9:49:28<14:37:23, 1.25s/step] Training: 40%|███▉ | 27792/70000 [9:49:30<14:25:13, 1.23s/step] Training: 40%|███▉ | 27793/70000 [9:49:31<14:16:56, 1.22s/step] Training: 40%|███▉ | 27794/70000 [9:49:32<14:10:42, 1.21s/step] Training: 40%|███▉ | 27795/70000 [9:49:33<14:37:13, 1.25s/step] Training: 40%|███▉ | 27796/70000 [9:49:35<14:53:43, 1.27s/step] Training: 40%|███▉ | 27797/70000 [9:49:36<15:29:56, 1.32s/step] Training: 40%|███▉ | 27798/70000 [9:49:37<15:08:09, 1.29s/step] Training: 40%|███▉ | 27799/70000 [9:49:38<14:46:13, 1.26s/step] Training: 40%|███▉ | 27800/70000 [9:49:40<14:30:49, 1.24s/step]INFO 2026-03-13 05:59:32 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.56 loss:0.037 grdn:4.962 lr:1.7e-05 updt_s:1.236 data_s:0.019 Training: 40%|███▉ | 27801/70000 [9:49:41<14:21:07, 1.22s/step] Training: 40%|███▉ | 27802/70000 [9:49:42<14:13:44, 1.21s/step] Training: 40%|███▉ | 27803/70000 [9:49:43<14:15:46, 1.22s/step] Training: 40%|███▉ | 27804/70000 [9:49:45<14:40:45, 1.25s/step] Training: 40%|███▉ | 27805/70000 [9:49:46<14:55:42, 1.27s/step] Training: 40%|███▉ | 27806/70000 [9:49:47<15:24:36, 1.31s/step] Training: 40%|███▉ | 27807/70000 [9:49:48<14:58:20, 1.28s/step] Training: 40%|███▉ | 27808/70000 [9:49:50<14:40:28, 1.25s/step] Training: 40%|███▉ | 27809/70000 [9:49:51<14:28:00, 1.23s/step] Training: 40%|███▉ | 27810/70000 [9:49:52<14:18:09, 1.22s/step] Training: 40%|███▉ | 27811/70000 [9:49:53<14:42:33, 1.26s/step] Training: 40%|███▉ | 27812/70000 [9:49:55<14:37:22, 1.25s/step] Training: 40%|███▉ | 27813/70000 [9:49:56<15:10:34, 1.30s/step] Training: 40%|███▉ | 27814/70000 [9:49:57<15:15:57, 1.30s/step] Training: 40%|███▉ | 27815/70000 [9:49:59<14:53:34, 1.27s/step] Training: 40%|███▉ | 27816/70000 [9:50:00<14:36:12, 1.25s/step] Training: 40%|███▉ | 27817/70000 [9:50:01<14:22:32, 1.23s/step] Training: 40%|███▉ | 27818/70000 [9:50:02<14:14:07, 1.21s/step] Training: 40%|███▉ | 27819/70000 [9:50:03<14:39:11, 1.25s/step] Training: 40%|███▉ | 27820/70000 [9:50:05<14:30:21, 1.24s/step] Training: 40%|███▉ | 27821/70000 [9:50:06<14:49:02, 1.26s/step] Training: 40%|███▉ | 27822/70000 [9:50:07<15:06:18, 1.29s/step] Training: 40%|███▉ | 27823/70000 [9:50:08<14:43:17, 1.26s/step] Training: 40%|███▉ | 27824/70000 [9:50:10<14:28:52, 1.24s/step] Training: 40%|███▉ | 27825/70000 [9:50:11<14:21:39, 1.23s/step] Training: 40%|███▉ | 27826/70000 [9:50:12<14:19:20, 1.22s/step] Training: 40%|███▉ | 27827/70000 [9:50:13<14:42:12, 1.26s/step] Training: 40%|███▉ | 27828/70000 [9:50:15<14:58:13, 1.28s/step] Training: 40%|███▉ | 27829/70000 [9:50:16<15:18:52, 1.31s/step] Training: 40%|███▉ | 27830/70000 [9:50:17<15:25:15, 1.32s/step] Training: 40%|███▉ | 27831/70000 [9:50:19<14:58:44, 1.28s/step] Training: 40%|███▉ | 27832/70000 [9:50:20<14:39:39, 1.25s/step] Training: 40%|███▉ | 27833/70000 [9:50:21<14:28:01, 1.24s/step] Training: 40%|███▉ | 27834/70000 [9:50:22<14:17:45, 1.22s/step] Training: 40%|███▉ | 27835/70000 [9:50:23<14:16:32, 1.22s/step] Training: 40%|███▉ | 27836/70000 [9:50:25<14:40:59, 1.25s/step] Training: 40%|███▉ | 27837/70000 [9:50:26<14:56:26, 1.28s/step] Training: 40%|███▉ | 27838/70000 [9:50:27<15:07:04, 1.29s/step] Training: 40%|███▉ | 27839/70000 [9:50:29<14:45:20, 1.26s/step] Training: 40%|███▉ | 27840/70000 [9:50:30<14:30:32, 1.24s/step] Training: 40%|███▉ | 27841/70000 [9:50:31<14:20:47, 1.23s/step] Training: 40%|███▉ | 27842/70000 [9:50:32<14:14:00, 1.22s/step] Training: 40%|███▉ | 27843/70000 [9:50:34<14:39:20, 1.25s/step] Training: 40%|███▉ | 27844/70000 [9:50:35<14:35:53, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29888 Training: 40%|███▉ | 27845/70000 [9:50:36<15:04:58, 1.29s/step] Training: 40%|███▉ | 27846/70000 [9:50:38<15:26:00, 1.32s/step] Training: 40%|███▉ | 27847/70000 [9:50:39<14:59:14, 1.28s/step] Training: 40%|███▉ | 27848/70000 [9:50:40<14:40:06, 1.25s/step] Training: 40%|███▉ | 27849/70000 [9:50:41<14:27:17, 1.23s/step] Training: 40%|███▉ | 27850/70000 [9:50:42<14:17:43, 1.22s/step] Training: 40%|███▉ | 27851/70000 [9:50:44<14:44:01, 1.26s/step] Training: 40%|███▉ | 27852/70000 [9:50:45<14:34:33, 1.24s/step] Training: 40%|███▉ | 27853/70000 [9:50:46<14:54:08, 1.27s/step] Training: 40%|███▉ | 27854/70000 [9:50:47<14:56:31, 1.28s/step] Training: 40%|███▉ | 27855/70000 [9:50:49<14:36:19, 1.25s/step] Training: 40%|███▉ | 27856/70000 [9:50:50<14:23:50, 1.23s/step] Training: 40%|███▉ | 27857/70000 [9:50:51<14:15:21, 1.22s/step] Training: 40%|███▉ | 27858/70000 [9:50:52<14:10:29, 1.21s/step] Training: 40%|███▉ | 27859/70000 [9:50:54<14:36:48, 1.25s/step] Training: 40%|███▉ | 27860/70000 [9:50:55<14:25:13, 1.23s/step] Training: 40%|███▉ | 27861/70000 [9:50:56<15:02:31, 1.29s/step] Training: 40%|███▉ | 27862/70000 [9:50:57<14:48:35, 1.27s/step] Training: 40%|███▉ | 27863/70000 [9:50:59<15:06:06, 1.29s/step] Training: 40%|███▉ | 27864/70000 [9:51:00<14:42:44, 1.26s/step] Training: 40%|███▉ | 27865/70000 [9:51:01<14:28:49, 1.24s/step] Training: 40%|███▉ | 27866/70000 [9:51:02<14:18:25, 1.22s/step] Training: 40%|███▉ | 27867/70000 [9:51:04<14:16:44, 1.22s/step] Training: 40%|███▉ | 27868/70000 [9:51:05<14:39:24, 1.25s/step] Training: 40%|███▉ | 27869/70000 [9:51:06<14:55:58, 1.28s/step] Training: 40%|███▉ | 27870/70000 [9:51:08<15:07:31, 1.29s/step] Training: 40%|███▉ | 27871/70000 [9:51:09<15:07:35, 1.29s/step] Training: 40%|███▉ | 27872/70000 [9:51:10<14:44:09, 1.26s/step] Training: 40%|███▉ | 27873/70000 [9:51:11<14:29:21, 1.24s/step] Training: 40%|███▉ | 27874/70000 [9:51:12<14:18:51, 1.22s/step] Training: 40%|███▉ | 27875/70000 [9:51:14<14:40:47, 1.25s/step] Training: 40%|███▉ | 27876/70000 [9:51:15<14:30:30, 1.24s/step] Training: 40%|███▉ | 27877/70000 [9:51:16<14:57:36, 1.28s/step] Training: 40%|███▉ | 27878/70000 [9:51:18<15:10:17, 1.30s/step] Training: 40%|███▉ | 27879/70000 [9:51:19<15:22:47, 1.31s/step] Training: 40%|███▉ | 27880/70000 [9:51:20<14:53:37, 1.27s/step] Training: 40%|███▉ | 27881/70000 [9:51:21<14:35:51, 1.25s/step] Training: 40%|███▉ | 27882/70000 [9:51:23<14:23:59, 1.23s/step] Training: 40%|███▉ | 27883/70000 [9:51:24<14:43:43, 1.26s/step] Training: 40%|███▉ | 27884/70000 [9:51:25<14:37:41, 1.25s/step] Training: 40%|███▉ | 27885/70000 [9:51:26<14:56:42, 1.28s/step] Training: 40%|███▉ | 27886/70000 [9:51:28<14:46:16, 1.26s/step] Training: 40%|███▉ | 27887/70000 [9:51:29<15:06:24, 1.29s/step] Training: 40%|███▉ | 27888/70000 [9:51:30<14:42:42, 1.26s/step] Training: 40%|███▉ | 27889/70000 [9:51:31<14:28:06, 1.24s/step] Training: 40%|███▉ | 27890/70000 [9:51:33<14:18:18, 1.22s/step] Training: 40%|███▉ | 27891/70000 [9:51:34<14:39:23, 1.25s/step] Training: 40%|███▉ | 27892/70000 [9:51:35<14:26:12, 1.23s/step] Training: 40%|███▉ | 27893/70000 [9:51:37<15:11:13, 1.30s/step] Training: 40%|███▉ | 27894/70000 [9:51:38<15:16:53, 1.31s/step] Training: 40%|███▉ | 27895/70000 [9:51:39<14:52:20, 1.27s/step] Training: 40%|███▉ | 27896/70000 [9:51:40<15:16:48, 1.31s/step] Training: 40%|███▉ | 27897/70000 [9:51:42<14:50:36, 1.27s/step] Training: 40%|███▉ | 27898/70000 [9:51:43<14:33:41, 1.25s/step] Training: 40%|███▉ | 27899/70000 [9:51:44<14:27:05, 1.24s/step] Training: 40%|███▉ | 27900/70000 [9:51:45<14:48:08, 1.27s/step]INFO 2026-03-13 06:01:37 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.65 loss:0.034 grdn:5.240 lr:1.7e-05 updt_s:1.236 data_s:0.019 Training: 40%|███▉ | 27901/70000 [9:51:47<15:02:37, 1.29s/step] Training: 40%|███▉ | 27902/70000 [9:51:48<15:29:17, 1.32s/step] Training: 40%|███▉ | 27903/70000 [9:51:49<15:01:56, 1.29s/step] Training: 40%|███▉ | 27904/70000 [9:51:51<15:17:07, 1.31s/step] Training: 40%|███▉ | 27905/70000 [9:51:52<14:50:18, 1.27s/step] Training: 40%|███▉ | 27906/70000 [9:51:53<14:33:29, 1.25s/step] Training: 40%|███▉ | 27907/70000 [9:51:54<14:52:42, 1.27s/step] Training: 40%|███▉ | 27908/70000 [9:51:56<14:38:02, 1.25s/step] Training: 40%|███▉ | 27909/70000 [9:51:57<15:04:31, 1.29s/step] Training: 40%|███▉ | 27910/70000 [9:51:58<15:12:06, 1.30s/step] Training: 40%|███▉ | 27911/70000 [9:51:59<14:50:30, 1.27s/step] Training: 40%|███▉ | 27912/70000 [9:52:01<15:03:28, 1.29s/step] Training: 40%|███▉ | 27913/70000 [9:52:02<14:41:08, 1.26s/step] Training: 40%|███▉ | 27914/70000 [9:52:03<14:26:17, 1.24s/step] Training: 40%|███▉ | 27915/70000 [9:52:04<14:45:44, 1.26s/step] Training: 40%|███▉ | 27916/70000 [9:52:06<14:37:01, 1.25s/step] Training: 40%|███▉ | 27917/70000 [9:52:07<14:54:34, 1.28s/step] Training: 40%|███▉ | 27918/70000 [9:52:08<15:03:31, 1.29s/step] Training: 40%|███▉ | 27919/70000 [9:52:10<14:42:52, 1.26s/step] Training: 40%|███▉ | 27920/70000 [9:52:11<15:06:16, 1.29s/step] Training: 40%|███▉ | 27921/70000 [9:52:12<14:42:25, 1.26s/step] Training: 40%|███▉ | 27922/70000 [9:52:13<14:27:35, 1.24s/step] Training: 40%|███▉ | 27923/70000 [9:52:15<14:46:19, 1.26s/step] Training: 40%|███▉ | 27924/70000 [9:52:16<14:30:55, 1.24s/step] Training: 40%|███▉ | 27925/70000 [9:52:17<15:10:25, 1.30s/step] Training: 40%|███▉ | 27926/70000 [9:52:19<15:14:17, 1.30s/step] Training: 40%|███▉ | 27927/70000 [9:52:20<14:50:50, 1.27s/step] Training: 40%|███▉ | 27928/70000 [9:52:21<14:42:55, 1.26s/step] Training: 40%|███▉ | 27929/70000 [9:52:22<14:26:41, 1.24s/step] Training: 40%|███▉ | 27930/70000 [9:52:23<14:17:02, 1.22s/step] Training: 40%|███▉ | 27931/70000 [9:52:25<14:16:21, 1.22s/step] Training: 40%|███▉ | 27932/70000 [9:52:26<14:40:10, 1.26s/step] Training: 40%|███▉ | 27933/70000 [9:52:27<14:54:24, 1.28s/step] Training: 40%|███▉ | 27934/70000 [9:52:29<15:05:21, 1.29s/step] Training: 40%|███▉ | 27935/70000 [9:52:30<14:44:46, 1.26s/step] Training: 40%|███▉ | 27936/70000 [9:52:31<14:28:26, 1.24s/step] Training: 40%|███▉ | 27937/70000 [9:52:32<14:57:14, 1.28s/step] Training: 40%|███▉ | 27938/70000 [9:52:33<14:36:23, 1.25s/step] Training: 40%|███▉ | 27939/70000 [9:52:35<14:54:19, 1.28s/step] Training: 40%|███▉ | 27940/70000 [9:52:36<14:41:34, 1.26s/step] Training: 40%|███▉ | 27941/70000 [9:52:37<15:04:09, 1.29s/step] Training: 40%|███▉ | 27942/70000 [9:52:39<15:32:49, 1.33s/step] Training: 40%|███▉ | 27943/70000 [9:52:40<15:02:59, 1.29s/step] Training: 40%|███▉ | 27944/70000 [9:52:41<14:43:32, 1.26s/step] Training: 40%|███▉ | 27945/70000 [9:52:42<14:52:34, 1.27s/step] Training: 40%|███▉ | 27946/70000 [9:52:44<14:33:20, 1.25s/step] Training: 40%|███▉ | 27947/70000 [9:52:45<14:50:57, 1.27s/step] Training: 40%|███▉ | 27948/70000 [9:52:46<14:40:41, 1.26s/step] Training: 40%|███▉ | 27949/70000 [9:52:47<14:34:51, 1.25s/step] Training: 40%|███▉ | 27950/70000 [9:52:49<15:19:15, 1.31s/step] Training: 40%|███▉ | 27951/70000 [9:52:50<14:54:47, 1.28s/step] Training: 40%|███▉ | 27952/70000 [9:52:51<14:34:46, 1.25s/step] Training: 40%|███▉ | 27953/70000 [9:52:53<14:57:24, 1.28s/step] Training: 40%|███▉ | 27954/70000 [9:52:54<14:35:25, 1.25s/step] Training: 40%|███▉ | 27955/70000 [9:52:55<14:55:12, 1.28s/step] Training: 40%|███▉ | 27956/70000 [9:52:56<14:37:56, 1.25s/step] Training: 40%|███▉ | 27957/70000 [9:52:58<15:15:43, 1.31s/step] Training: 40%|███▉ | 27958/70000 [9:52:59<15:18:03, 1.31s/step] Training: 40%|███▉ | 27959/70000 [9:53:00<14:52:31, 1.27s/step] Training: 40%|███▉ | 27960/70000 [9:53:02<14:35:47, 1.25s/step] Training: 40%|███▉ | 27961/70000 [9:53:03<14:57:48, 1.28s/step] Training: 40%|███▉ | 27962/70000 [9:53:04<14:37:00, 1.25s/step] Training: 40%|███▉ | 27963/70000 [9:53:05<14:32:25, 1.25s/step] Training: 40%|███▉ | 27964/70000 [9:53:07<14:48:18, 1.27s/step] Training: 40%|███▉ | 27965/70000 [9:53:08<15:01:25, 1.29s/step] Training: 40%|███▉ | 27966/70000 [9:53:09<15:11:40, 1.30s/step] Training: 40%|███▉ | 27967/70000 [9:53:10<14:52:23, 1.27s/step] Training: 40%|███▉ | 27968/70000 [9:53:12<14:33:58, 1.25s/step] Training: 40%|███▉ | 27969/70000 [9:53:13<14:22:33, 1.23s/step] Training: 40%|███▉ | 27970/70000 [9:53:14<14:50:28, 1.27s/step] Training: 40%|███▉ | 27971/70000 [9:53:16<15:03:10, 1.29s/step] Training: 40%|███▉ | 27972/70000 [9:53:17<14:44:35, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=18854 Training: 40%|███▉ | 27973/70000 [9:53:18<14:37:36, 1.25s/step] Training: 40%|███▉ | 27974/70000 [9:53:19<14:53:32, 1.28s/step] Training: 40%|███▉ | 27975/70000 [9:53:20<14:35:34, 1.25s/step] Training: 40%|███▉ | 27976/70000 [9:53:22<14:23:05, 1.23s/step] Training: 40%|███▉ | 27977/70000 [9:53:23<14:13:40, 1.22s/step] Training: 40%|███▉ | 27978/70000 [9:53:24<14:42:47, 1.26s/step] Training: 40%|███▉ | 27979/70000 [9:53:26<14:54:02, 1.28s/step] Training: 40%|███▉ | 27980/70000 [9:53:27<14:47:08, 1.27s/step] Training: 40%|███▉ | 27981/70000 [9:53:28<14:35:34, 1.25s/step] Training: 40%|███▉ | 27982/70000 [9:53:29<15:01:05, 1.29s/step] Training: 40%|███▉ | 27983/70000 [9:53:31<14:40:53, 1.26s/step] Training: 40%|███▉ | 27984/70000 [9:53:32<14:27:33, 1.24s/step] Training: 40%|███▉ | 27985/70000 [9:53:33<14:17:44, 1.22s/step] Training: 40%|███▉ | 27986/70000 [9:53:34<14:27:49, 1.24s/step] Training: 40%|███▉ | 27987/70000 [9:53:36<14:46:57, 1.27s/step] Training: 40%|███▉ | 27988/70000 [9:53:37<14:30:38, 1.24s/step] Training: 40%|███▉ | 27989/70000 [9:53:38<15:03:47, 1.29s/step] Training: 40%|███▉ | 27990/70000 [9:53:39<15:11:18, 1.30s/step] Training: 40%|███▉ | 27991/70000 [9:53:41<14:47:50, 1.27s/step] Training: 40%|███▉ | 27992/70000 [9:53:42<14:31:44, 1.25s/step] Training: 40%|███▉ | 27993/70000 [9:53:43<14:19:37, 1.23s/step] Training: 40%|███▉ | 27994/70000 [9:53:44<14:26:46, 1.24s/step] Training: 40%|███▉ | 27995/70000 [9:53:46<14:21:33, 1.23s/step] Training: 40%|███▉ | 27996/70000 [9:53:47<14:41:29, 1.26s/step] Training: 40%|███▉ | 27997/70000 [9:53:48<14:57:52, 1.28s/step] Training: 40%|███▉ | 27998/70000 [9:53:50<15:26:20, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=32523 Training: 40%|███▉ | 27999/70000 [9:53:51<14:58:35, 1.28s/step] Training: 40%|████ | 28000/70000 [9:53:52<14:38:44, 1.26s/step]INFO 2026-03-13 06:03:44 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.73 loss:0.037 grdn:5.146 lr:1.7e-05 updt_s:1.246 data_s:0.019 Training: 40%|████ | 28001/70000 [9:53:53<14:25:03, 1.24s/step] Training: 40%|████ | 28002/70000 [9:53:54<14:15:25, 1.22s/step] Training: 40%|████ | 28003/70000 [9:53:56<14:57:28, 1.28s/step] Training: 40%|████ | 28004/70000 [9:53:57<14:39:57, 1.26s/step] Training: 40%|████ | 28005/70000 [9:53:58<14:36:17, 1.25s/step] Training: 40%|████ | 28006/70000 [9:54:00<14:51:23, 1.27s/step] Training: 40%|████ | 28007/70000 [9:54:01<14:34:34, 1.25s/step] Training: 40%|████ | 28008/70000 [9:54:02<14:22:18, 1.23s/step] Training: 40%|████ | 28009/70000 [9:54:03<14:13:17, 1.22s/step] Training: 40%|████ | 28010/70000 [9:54:04<14:06:30, 1.21s/step] Training: 40%|████ | 28011/70000 [9:54:06<14:48:06, 1.27s/step] Training: 40%|████ | 28012/70000 [9:54:07<14:37:47, 1.25s/step] Training: 40%|████ | 28013/70000 [9:54:08<14:27:45, 1.24s/step] Training: 40%|████ | 28014/70000 [9:54:10<15:01:59, 1.29s/step] Training: 40%|████ | 28015/70000 [9:54:11<14:41:25, 1.26s/step] Training: 40%|████ | 28016/70000 [9:54:12<14:26:30, 1.24s/step] Training: 40%|████ | 28017/70000 [9:54:13<14:16:42, 1.22s/step] Training: 40%|████ | 28018/70000 [9:54:14<14:09:19, 1.21s/step] Training: 40%|████ | 28019/70000 [9:54:16<14:35:26, 1.25s/step] Training: 40%|████ | 28020/70000 [9:54:17<14:52:54, 1.28s/step] Training: 40%|████ | 28021/70000 [9:54:18<15:20:43, 1.32s/step] Training: 40%|████ | 28022/70000 [9:54:20<15:22:23, 1.32s/step] Training: 40%|████ | 28023/70000 [9:54:21<14:56:13, 1.28s/step] Training: 40%|████ | 28024/70000 [9:54:22<14:36:50, 1.25s/step] Training: 40%|████ | 28025/70000 [9:54:23<14:23:38, 1.23s/step] Training: 40%|████ | 28026/70000 [9:54:24<14:14:30, 1.22s/step] Training: 40%|████ | 28027/70000 [9:54:26<14:43:33, 1.26s/step] Training: 40%|████ | 28028/70000 [9:54:27<14:55:38, 1.28s/step] Training: 40%|████ | 28029/70000 [9:54:28<15:04:59, 1.29s/step] Training: 40%|████ | 28030/70000 [9:54:30<15:15:11, 1.31s/step] Training: 40%|████ | 28031/70000 [9:54:31<14:49:30, 1.27s/step] Training: 40%|████ | 28032/70000 [9:54:32<14:31:33, 1.25s/step] Training: 40%|████ | 28033/70000 [9:54:33<14:19:28, 1.23s/step] Training: 40%|████ | 28034/70000 [9:54:35<14:10:58, 1.22s/step] Training: 40%|████ | 28035/70000 [9:54:36<14:37:12, 1.25s/step] Training: 40%|████ | 28036/70000 [9:54:37<14:55:23, 1.28s/step] Training: 40%|████ | 28037/70000 [9:54:38<14:42:04, 1.26s/step] Training: 40%|████ | 28038/70000 [9:54:40<14:56:41, 1.28s/step] Training: 40%|████ | 28039/70000 [9:54:41<14:36:56, 1.25s/step] Training: 40%|████ | 28040/70000 [9:54:42<14:23:34, 1.23s/step] Training: 40%|████ | 28041/70000 [9:54:43<14:14:25, 1.22s/step] Training: 40%|████ | 28042/70000 [9:54:45<14:07:46, 1.21s/step] Training: 40%|████ | 28043/70000 [9:54:46<14:33:44, 1.25s/step] Training: 40%|████ | 28044/70000 [9:54:47<14:55:05, 1.28s/step] Training: 40%|████ | 28045/70000 [9:54:48<14:37:51, 1.26s/step] Training: 40%|████ | 28046/70000 [9:54:50<15:06:49, 1.30s/step] Training: 40%|████ | 28047/70000 [9:54:51<14:44:21, 1.26s/step] Training: 40%|████ | 28048/70000 [9:54:52<14:27:58, 1.24s/step] Training: 40%|████ | 28049/70000 [9:54:53<14:17:40, 1.23s/step] Training: 40%|████ | 28050/70000 [9:54:55<14:11:13, 1.22s/step] Training: 40%|████ | 28051/70000 [9:54:56<14:32:37, 1.25s/step] Training: 40%|████ | 28052/70000 [9:54:57<14:21:34, 1.23s/step] Training: 40%|████ | 28053/70000 [9:54:59<14:58:02, 1.28s/step] Training: 40%|████ | 28054/70000 [9:55:00<15:07:12, 1.30s/step] Training: 40%|████ | 28055/70000 [9:55:01<14:44:32, 1.27s/step] Training: 40%|████ | 28056/70000 [9:55:02<14:28:29, 1.24s/step] Training: 40%|████ | 28057/70000 [9:55:03<14:16:57, 1.23s/step] Training: 40%|████ | 28058/70000 [9:55:05<14:09:26, 1.22s/step] Training: 40%|████ | 28059/70000 [9:55:06<14:08:03, 1.21s/step] Training: 40%|████ | 28060/70000 [9:55:07<14:38:40, 1.26s/step] Training: 40%|████ | 28061/70000 [9:55:09<14:53:52, 1.28s/step] Training: 40%|████ | 28062/70000 [9:55:10<15:05:25, 1.30s/step] Training: 40%|████ | 28063/70000 [9:55:11<14:44:08, 1.26s/step] Training: 40%|████ | 28064/70000 [9:55:12<14:27:11, 1.24s/step] Training: 40%|████ | 28065/70000 [9:55:13<14:16:29, 1.23s/step] Training: 40%|████ | 28066/70000 [9:55:15<14:09:12, 1.22s/step] Training: 40%|████ | 28067/70000 [9:55:16<14:32:43, 1.25s/step] Training: 40%|████ | 28068/70000 [9:55:17<14:39:07, 1.26s/step] Training: 40%|████ | 28069/70000 [9:55:18<14:30:32, 1.25s/step] Training: 40%|████ | 28070/70000 [9:55:20<15:08:49, 1.30s/step] Training: 40%|████ | 28071/70000 [9:55:21<14:45:00, 1.27s/step] Training: 40%|████ | 28072/70000 [9:55:22<14:29:16, 1.24s/step] Training: 40%|████ | 28073/70000 [9:55:23<14:17:11, 1.23s/step] Training: 40%|████ | 28074/70000 [9:55:25<14:08:45, 1.21s/step] Training: 40%|████ | 28075/70000 [9:55:26<14:33:53, 1.25s/step] Training: 40%|████ | 28076/70000 [9:55:27<14:27:03, 1.24s/step] Training: 40%|████ | 28077/70000 [9:55:28<14:48:03, 1.27s/step] Training: 40%|████ | 28078/70000 [9:55:30<15:04:44, 1.29s/step] Training: 40%|████ | 28079/70000 [9:55:31<14:42:14, 1.26s/step] Training: 40%|████ | 28080/70000 [9:55:32<14:26:45, 1.24s/step] Training: 40%|████ | 28081/70000 [9:55:33<14:16:39, 1.23s/step] Training: 40%|████ | 28082/70000 [9:55:35<14:08:08, 1.21s/step] Training: 40%|████ | 28083/70000 [9:55:36<14:34:54, 1.25s/step] Training: 40%|████ | 28084/70000 [9:55:37<14:21:30, 1.23s/step] Training: 40%|████ | 28085/70000 [9:55:39<15:04:15, 1.29s/step] Training: 40%|████ | 28086/70000 [9:55:40<14:50:30, 1.27s/step] Training: 40%|████ | 28087/70000 [9:55:41<14:32:22, 1.25s/step] Training: 40%|████ | 28088/70000 [9:55:42<14:19:36, 1.23s/step] Training: 40%|████ | 28089/70000 [9:55:43<14:10:25, 1.22s/step] Training: 40%|████ | 28090/70000 [9:55:45<14:04:40, 1.21s/step] Training: 40%|████ | 28091/70000 [9:55:46<14:05:18, 1.21s/step] Training: 40%|████ | 28092/70000 [9:55:47<14:29:40, 1.25s/step] Training: 40%|████ | 28093/70000 [9:55:48<14:45:22, 1.27s/step] Training: 40%|████ | 28094/70000 [9:55:50<15:15:50, 1.31s/step] Training: 40%|████ | 28095/70000 [9:55:51<14:50:26, 1.27s/step] Training: 40%|████ | 28096/70000 [9:55:52<14:32:27, 1.25s/step] Training: 40%|████ | 28097/70000 [9:55:53<14:19:49, 1.23s/step] Training: 40%|████ | 28098/70000 [9:55:55<14:10:53, 1.22s/step] Training: 40%|████ | 28099/70000 [9:55:56<14:36:59, 1.26s/step] Training: 40%|████ | 28100/70000 [9:55:57<14:55:55, 1.28s/step]INFO 2026-03-13 06:05:49 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.82 loss:0.034 grdn:5.097 lr:1.7e-05 updt_s:1.232 data_s:0.019 Training: 40%|████ | 28101/70000 [9:55:59<15:18:55, 1.32s/step] Training: 40%|████ | 28102/70000 [9:56:00<15:20:28, 1.32s/step] Training: 40%|████ | 28103/70000 [9:56:01<14:54:30, 1.28s/step] Training: 40%|████ | 28104/70000 [9:56:02<14:35:04, 1.25s/step] Training: 40%|████ | 28105/70000 [9:56:04<14:22:06, 1.23s/step] Training: 40%|████ | 28106/70000 [9:56:05<14:12:36, 1.22s/step] Training: 40%|████ | 28107/70000 [9:56:06<14:35:07, 1.25s/step] Training: 40%|████ | 28108/70000 [9:56:07<14:51:22, 1.28s/step] Training: 40%|████ | 28109/70000 [9:56:09<15:09:08, 1.30s/step] Training: 40%|████ | 28110/70000 [9:56:10<15:34:29, 1.34s/step] Training: 40%|████ | 28111/70000 [9:56:11<15:02:58, 1.29s/step] Training: 40%|████ | 28112/70000 [9:56:13<14:40:56, 1.26s/step] Training: 40%|████ | 28113/70000 [9:56:14<14:25:44, 1.24s/step] Training: 40%|████ | 28114/70000 [9:56:15<14:14:51, 1.22s/step] Training: 40%|████ | 28115/70000 [9:56:16<14:39:15, 1.26s/step] Training: 40%|████ | 28116/70000 [9:56:18<14:29:34, 1.25s/step] Training: 40%|████ | 28117/70000 [9:56:19<14:45:30, 1.27s/step] Training: 40%|████ | 28118/70000 [9:56:20<15:19:14, 1.32s/step] Training: 40%|████ | 28119/70000 [9:56:21<14:53:27, 1.28s/step] Training: 40%|████ | 28120/70000 [9:56:23<14:34:01, 1.25s/step] Training: 40%|████ | 28121/70000 [9:56:24<14:21:17, 1.23s/step] Training: 40%|████ | 28122/70000 [9:56:25<14:11:44, 1.22s/step] Training: 40%|████ | 28123/70000 [9:56:26<14:10:29, 1.22s/step] Training: 40%|████ | 28124/70000 [9:56:28<14:34:00, 1.25s/step] Training: 40%|████ | 28125/70000 [9:56:29<14:49:20, 1.27s/step] Training: 40%|████ | 28126/70000 [9:56:30<15:27:29, 1.33s/step] Training: 40%|████ | 28127/70000 [9:56:32<14:59:17, 1.29s/step] Training: 40%|████ | 28128/70000 [9:56:33<14:38:22, 1.26s/step] Training: 40%|████ | 28129/70000 [9:56:34<14:24:04, 1.24s/step] Training: 40%|████ | 28130/70000 [9:56:35<14:13:26, 1.22s/step] Training: 40%|████ | 28131/70000 [9:56:36<14:35:31, 1.25s/step] Training: 40%|████ | 28132/70000 [9:56:38<14:22:03, 1.24s/step] Training: 40%|████ | 28133/70000 [9:56:39<14:39:39, 1.26s/step] Training: 40%|████ | 28134/70000 [9:56:40<15:05:44, 1.30s/step] Training: 40%|████ | 28135/70000 [9:56:42<14:43:06, 1.27s/step] Training: 40%|████ | 28136/70000 [9:56:43<14:26:25, 1.24s/step] Training: 40%|████ | 28137/70000 [9:56:44<14:15:52, 1.23s/step] Training: 40%|████ | 28138/70000 [9:56:45<14:07:24, 1.21s/step] Training: 40%|████ | 28139/70000 [9:56:46<14:31:20, 1.25s/step] Training: 40%|████ | 28140/70000 [9:56:48<14:19:10, 1.23s/step] Training: 40%|████ | 28141/70000 [9:56:49<14:37:10, 1.26s/step] Training: 40%|████ | 28142/70000 [9:56:50<15:07:28, 1.30s/step] Training: 40%|████ | 28143/70000 [9:56:52<15:08:50, 1.30s/step] Training: 40%|████ | 28144/70000 [9:56:53<14:44:59, 1.27s/step] Training: 40%|████ | 28145/70000 [9:56:54<14:28:53, 1.25s/step] Training: 40%|████ | 28146/70000 [9:56:55<14:17:00, 1.23s/step] Training: 40%|████ | 28147/70000 [9:56:57<14:39:30, 1.26s/step] Training: 40%|████ | 28148/70000 [9:56:58<14:25:12, 1.24s/step] Training: 40%|████ | 28149/70000 [9:56:59<14:43:17, 1.27s/step] Training: 40%|████ | 28150/70000 [9:57:00<14:57:54, 1.29s/step] Training: 40%|████ | 28151/70000 [9:57:02<15:02:30, 1.29s/step] Training: 40%|████ | 28152/70000 [9:57:03<14:40:22, 1.26s/step] Training: 40%|████ | 28153/70000 [9:57:04<14:26:00, 1.24s/step] Training: 40%|████ | 28154/70000 [9:57:05<14:15:20, 1.23s/step] Training: 40%|████ | 28155/70000 [9:57:06<14:10:23, 1.22s/step] Training: 40%|████ | 28156/70000 [9:57:08<14:04:17, 1.21s/step] Training: 40%|████ | 28157/70000 [9:57:09<14:32:29, 1.25s/step] Training: 40%|████ | 28158/70000 [9:57:10<14:59:47, 1.29s/step] Training: 40%|████ | 28159/70000 [9:57:12<14:36:37, 1.26s/step] Training: 40%|████ | 28160/70000 [9:57:13<14:22:13, 1.24s/step] Training: 40%|████ | 28161/70000 [9:57:14<14:13:58, 1.22s/step] Training: 40%|████ | 28162/70000 [9:57:15<14:06:35, 1.21s/step] Training: 40%|████ | 28163/70000 [9:57:16<14:33:51, 1.25s/step] Training: 40%|████ | 28164/70000 [9:57:18<14:21:32, 1.24s/step] Training: 40%|████ | 28165/70000 [9:57:19<14:27:57, 1.24s/step] Training: 40%|████ | 28166/70000 [9:57:20<14:46:35, 1.27s/step] Training: 40%|████ | 28167/70000 [9:57:22<15:01:47, 1.29s/step] Training: 40%|████ | 28168/70000 [9:57:23<14:38:14, 1.26s/step] Training: 40%|████ | 28169/70000 [9:57:24<14:23:42, 1.24s/step] Training: 40%|████ | 28170/70000 [9:57:25<14:13:28, 1.22s/step] Training: 40%|████ | 28171/70000 [9:57:27<14:36:25, 1.26s/step] Training: 40%|████ | 28172/70000 [9:57:28<14:24:20, 1.24s/step] Training: 40%|████ | 28173/70000 [9:57:29<14:18:15, 1.23s/step] Training: 40%|████ | 28174/70000 [9:57:30<14:58:26, 1.29s/step] Training: 40%|████ | 28175/70000 [9:57:32<15:11:30, 1.31s/step] Training: 40%|████ | 28176/70000 [9:57:33<14:45:01, 1.27s/step] Training: 40%|████ | 28177/70000 [9:57:34<14:28:11, 1.25s/step] Training: 40%|████ | 28178/70000 [9:57:35<14:19:08, 1.23s/step] Training: 40%|████ | 28179/70000 [9:57:37<14:39:19, 1.26s/step] Training: 40%|████ | 28180/70000 [9:57:38<14:27:50, 1.25s/step] Training: 40%|████ | 28181/70000 [9:57:39<14:44:57, 1.27s/step] Training: 40%|████ | 28182/70000 [9:57:40<14:57:21, 1.29s/step] Training: 40%|████ | 28183/70000 [9:57:42<14:36:56, 1.26s/step] Training: 40%|████ | 28184/70000 [9:57:43<14:22:42, 1.24s/step] Training: 40%|████ | 28185/70000 [9:57:44<14:12:57, 1.22s/step] Training: 40%|████ | 28186/70000 [9:57:45<14:05:39, 1.21s/step] Training: 40%|████ | 28187/70000 [9:57:46<14:05:37, 1.21s/step] Training: 40%|████ | 28188/70000 [9:57:48<14:04:04, 1.21s/step] Training: 40%|████ | 28189/70000 [9:57:49<14:28:46, 1.25s/step] Training: 40%|████ | 28190/70000 [9:57:50<14:52:33, 1.28s/step] Training: 40%|████ | 28191/70000 [9:57:52<14:41:04, 1.26s/step] Training: 40%|████ | 28192/70000 [9:57:53<14:24:27, 1.24s/step] Training: 40%|████ | 28193/70000 [9:57:54<14:13:27, 1.22s/step] Training: 40%|████ | 28194/70000 [9:57:55<14:05:30, 1.21s/step] Training: 40%|████ | 28195/70000 [9:57:56<14:28:47, 1.25s/step] Training: 40%|████ | 28196/70000 [9:57:58<14:15:54, 1.23s/step] Training: 40%|████ | 28197/70000 [9:57:59<14:25:39, 1.24s/step] Training: 40%|████ | 28198/70000 [9:58:00<14:42:45, 1.27s/step] Training: 40%|████ | 28199/70000 [9:58:02<14:42:22, 1.27s/step] Training: 40%|████ | 28200/70000 [9:58:03<14:25:24, 1.24s/step]INFO 2026-03-13 06:07:55 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.90 loss:0.038 grdn:5.645 lr:1.7e-05 updt_s:1.233 data_s:0.019 Training: 40%|████ | 28201/70000 [9:58:04<14:14:02, 1.23s/step] Training: 40%|████ | 28202/70000 [9:58:05<14:06:13, 1.21s/step] Training: 40%|████ | 28203/70000 [9:58:06<14:29:24, 1.25s/step] Training: 40%|████ | 28204/70000 [9:58:08<14:17:08, 1.23s/step] Training: 40%|████ | 28205/70000 [9:58:09<14:13:31, 1.23s/step] Training: 40%|████ | 28206/70000 [9:58:10<14:55:33, 1.29s/step] Training: 40%|████ | 28207/70000 [9:58:11<14:36:49, 1.26s/step] Training: 40%|████ | 28208/70000 [9:58:13<14:55:14, 1.29s/step] Training: 40%|████ | 28209/70000 [9:58:14<14:33:57, 1.25s/step] Training: 40%|████ | 28210/70000 [9:58:15<14:20:05, 1.23s/step] Training: 40%|████ | 28211/70000 [9:58:16<14:19:29, 1.23s/step] Training: 40%|████ | 28212/70000 [9:58:18<14:10:21, 1.22s/step] Training: 40%|████ | 28213/70000 [9:58:19<14:32:49, 1.25s/step] Training: 40%|████ | 28214/70000 [9:58:20<14:48:23, 1.28s/step] Training: 40%|████ | 28215/70000 [9:58:21<14:30:47, 1.25s/step] Training: 40%|████ | 28216/70000 [9:58:23<14:36:40, 1.26s/step] Training: 40%|████ | 28217/70000 [9:58:24<14:20:55, 1.24s/step] Training: 40%|████ | 28218/70000 [9:58:25<14:11:49, 1.22s/step] Training: 40%|████ | 28219/70000 [9:58:26<14:07:55, 1.22s/step] Training: 40%|████ | 28220/70000 [9:58:27<14:02:20, 1.21s/step] Training: 40%|████ | 28221/70000 [9:58:29<14:28:12, 1.25s/step] Training: 40%|████ | 28222/70000 [9:58:30<14:55:09, 1.29s/step] Training: 40%|████ | 28223/70000 [9:58:31<14:34:51, 1.26s/step] Training: 40%|████ | 28224/70000 [9:58:33<14:20:33, 1.24s/step] Training: 40%|████ | 28225/70000 [9:58:34<14:44:23, 1.27s/step] Training: 40%|████ | 28226/70000 [9:58:35<14:25:42, 1.24s/step] Training: 40%|████ | 28227/70000 [9:58:36<14:45:34, 1.27s/step] Training: 40%|████ | 28228/70000 [9:58:38<14:28:29, 1.25s/step] Training: 40%|████ | 28229/70000 [9:58:39<14:32:49, 1.25s/step] Training: 40%|████ | 28230/70000 [9:58:40<14:50:46, 1.28s/step] Training: 40%|████ | 28231/70000 [9:58:42<14:57:15, 1.29s/step] Training: 40%|████ | 28232/70000 [9:58:43<15:12:00, 1.31s/step] Training: 40%|████ | 28233/70000 [9:58:44<14:44:27, 1.27s/step] Training: 40%|████ | 28234/70000 [9:58:45<14:28:14, 1.25s/step] Training: 40%|████ | 28235/70000 [9:58:47<14:47:21, 1.27s/step] Training: 40%|████ | 28236/70000 [9:58:48<14:29:29, 1.25s/step] Training: 40%|████ | 28237/70000 [9:58:49<14:19:59, 1.24s/step] Training: 40%|████ | 28238/70000 [9:58:50<15:01:32, 1.30s/step] Training: 40%|████ | 28239/70000 [9:58:52<15:03:12, 1.30s/step] Training: 40%|████ | 28240/70000 [9:58:53<14:40:41, 1.27s/step] Training: 40%|████ | 28241/70000 [9:58:54<14:55:24, 1.29s/step] Training: 40%|████ | 28242/70000 [9:58:55<14:33:37, 1.26s/step] Training: 40%|████ | 28243/70000 [9:58:57<14:31:08, 1.25s/step] Training: 40%|████ | 28244/70000 [9:58:58<14:18:44, 1.23s/step] Training: 40%|████ | 28245/70000 [9:58:59<14:40:02, 1.26s/step] Training: 40%|████ | 28246/70000 [9:59:01<15:04:13, 1.30s/step] Training: 40%|████ | 28247/70000 [9:59:02<14:42:03, 1.27s/step] Training: 40%|████ | 28248/70000 [9:59:03<14:25:23, 1.24s/step] Training: 40%|████ | 28249/70000 [9:59:04<14:46:07, 1.27s/step] Training: 40%|████ | 28250/70000 [9:59:05<14:27:10, 1.25s/step] Training: 40%|████ | 28251/70000 [9:59:07<14:19:38, 1.24s/step] Training: 40%|████ | 28252/70000 [9:59:08<14:10:25, 1.22s/step] Training: 40%|████ | 28253/70000 [9:59:09<14:39:43, 1.26s/step] Training: 40%|████ | 28254/70000 [9:59:11<15:01:09, 1.30s/step] Training: 40%|████ | 28255/70000 [9:59:12<15:01:43, 1.30s/step] Training: 40%|████ | 28256/70000 [9:59:13<14:39:20, 1.26s/step] Training: 40%|████ | 28257/70000 [9:59:14<14:23:23, 1.24s/step] Training: 40%|████ | 28258/70000 [9:59:15<14:11:37, 1.22s/step] Training: 40%|████ | 28259/70000 [9:59:17<14:33:08, 1.26s/step] Training: 40%|████ | 28260/70000 [9:59:18<14:19:50, 1.24s/step] Training: 40%|████ | 28261/70000 [9:59:19<14:24:50, 1.24s/step] Training: 40%|████ | 28262/70000 [9:59:21<14:42:49, 1.27s/step] Training: 40%|████ | 28263/70000 [9:59:22<14:56:20, 1.29s/step] Training: 40%|████ | 28264/70000 [9:59:23<14:35:59, 1.26s/step] Training: 40%|████ | 28265/70000 [9:59:24<14:32:39, 1.25s/step] Training: 40%|████ | 28266/70000 [9:59:26<14:19:21, 1.24s/step] Training: 40%|████ | 28267/70000 [9:59:27<14:38:30, 1.26s/step] Training: 40%|████ | 28268/70000 [9:59:28<14:23:08, 1.24s/step] Training: 40%|████ | 28269/70000 [9:59:29<14:16:22, 1.23s/step] Training: 40%|████ | 28270/70000 [9:59:31<14:59:06, 1.29s/step] Training: 40%|████ | 28271/70000 [9:59:32<14:42:54, 1.27s/step] Training: 40%|████ | 28272/70000 [9:59:33<14:25:47, 1.24s/step] Training: 40%|████ | 28273/70000 [9:59:34<14:26:15, 1.25s/step] Training: 40%|████ | 28274/70000 [9:59:36<14:12:20, 1.23s/step] Training: 40%|████ | 28275/70000 [9:59:37<14:13:07, 1.23s/step] Training: 40%|████ | 28276/70000 [9:59:38<14:05:47, 1.22s/step] Training: 40%|████ | 28277/70000 [9:59:39<14:32:00, 1.25s/step] Training: 40%|████ | 28278/70000 [9:59:41<14:53:35, 1.29s/step] Training: 40%|████ | 28279/70000 [9:59:42<15:03:43, 1.30s/step] Training: 40%|████ | 28280/70000 [9:59:43<14:40:20, 1.27s/step] Training: 40%|████ | 28281/70000 [9:59:44<14:23:51, 1.24s/step] Training: 40%|████ | 28282/70000 [9:59:46<14:46:05, 1.27s/step] Training: 40%|████ | 28283/70000 [9:59:47<14:30:31, 1.25s/step] Training: 40%|████ | 28284/70000 [9:59:48<14:17:45, 1.23s/step] Training: 40%|████ | 28285/70000 [9:59:49<14:47:41, 1.28s/step] Training: 40%|████ | 28286/70000 [9:59:51<15:12:26, 1.31s/step] Training: 40%|████ | 28287/70000 [9:59:52<15:15:31, 1.32s/step] Training: 40%|████ | 28288/70000 [9:59:53<14:48:22, 1.28s/step] Training: 40%|████ | 28289/70000 [9:59:55<14:30:01, 1.25s/step] Training: 40%|████ | 28290/70000 [9:59:56<14:39:41, 1.27s/step] Training: 40%|████ | 28291/70000 [9:59:57<14:51:35, 1.28s/step] Training: 40%|████ | 28292/70000 [9:59:58<14:32:44, 1.26s/step] Training: 40%|████ | 28293/70000 [10:00:00<14:35:46, 1.26s/step] Training: 40%|████ | 28294/70000 [10:00:01<14:50:14, 1.28s/step] Training: 40%|████ | 28295/70000 [10:00:02<15:02:04, 1.30s/step] Training: 40%|████ | 28296/70000 [10:00:04<14:40:00, 1.27s/step] Training: 40%|████ | 28297/70000 [10:00:05<14:24:29, 1.24s/step] Training: 40%|████ | 28298/70000 [10:00:06<15:07:49, 1.31s/step] Training: 40%|████ | 28299/70000 [10:00:08<15:11:49, 1.31s/step] Training: 40%|████ | 28300/70000 [10:00:09<14:46:07, 1.28s/step]INFO 2026-03-13 06:10:01 ot_train.py:435 step:28K smpl:2M ep:6K epch:23.99 loss:0.037 grdn:5.282 lr:1.7e-05 updt_s:1.239 data_s:0.019 Training: 40%|████ | 28301/70000 [10:00:10<14:34:10, 1.26s/step] Training: 40%|████ | 28302/70000 [10:00:11<15:10:16, 1.31s/step] Training: 40%|████ | 28303/70000 [10:00:13<14:52:49, 1.28s/step] Training: 40%|████ | 28304/70000 [10:00:14<14:33:43, 1.26s/step] Training: 40%|████ | 28305/70000 [10:00:15<14:19:24, 1.24s/step] Training: 40%|████ | 28306/70000 [10:00:16<14:44:49, 1.27s/step] Training: 40%|████ | 28307/70000 [10:00:18<14:32:22, 1.26s/step] Training: 40%|████ | 28308/70000 [10:00:19<14:19:05, 1.24s/step] Training: 40%|████ | 28309/70000 [10:00:20<14:38:51, 1.26s/step] Training: 40%|████ | 28310/70000 [10:00:21<14:57:50, 1.29s/step] Training: 40%|████ | 28311/70000 [10:00:23<15:06:35, 1.30s/step] Training: 40%|████ | 28312/70000 [10:00:24<14:42:00, 1.27s/step] Training: 40%|████ | 28313/70000 [10:00:25<14:24:57, 1.24s/step] Training: 40%|████ | 28314/70000 [10:00:26<14:12:44, 1.23s/step] Training: 40%|████ | 28315/70000 [10:00:28<14:36:08, 1.26s/step] Training: 40%|████ | 28316/70000 [10:00:29<14:19:04, 1.24s/step] Training: 40%|████ | 28317/70000 [10:00:30<14:40:03, 1.27s/step] Training: 40%|████ | 28318/70000 [10:00:32<15:03:44, 1.30s/step] Training: 40%|████ | 28319/70000 [10:00:33<15:11:56, 1.31s/step] Training: 40%|████ | 28320/70000 [10:00:35<18:00:15, 1.56s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 40%|████ | 28321/70000 [10:00:39<26:44:18, 2.31s/step] Training: 40%|████ | 28322/70000 [10:00:40<22:51:10, 1.97s/step] Training: 40%|████ | 28323/70000 [10:00:42<21:14:59, 1.84s/step] Training: 40%|████ | 28324/70000 [10:00:43<19:00:48, 1.64s/step] Training: 40%|████ | 28325/70000 [10:00:44<18:07:01, 1.57s/step] Training: 40%|████ | 28326/70000 [10:00:46<17:55:09, 1.55s/step] Training: 40%|████ | 28327/70000 [10:00:47<17:29:31, 1.51s/step] Training: 40%|████ | 28328/70000 [10:00:48<16:19:21, 1.41s/step] Training: 40%|████ | 28329/70000 [10:00:50<15:32:43, 1.34s/step] Training: 40%|████ | 28330/70000 [10:00:51<15:00:25, 1.30s/step] Training: 40%|████ | 28331/70000 [10:00:52<15:18:59, 1.32s/step] Training: 40%|████ | 28332/70000 [10:00:53<14:51:19, 1.28s/step] Training: 40%|████ | 28333/70000 [10:00:55<14:36:53, 1.26s/step] Training: 40%|████ | 28334/70000 [10:00:56<15:14:15, 1.32s/step] Training: 40%|████ | 28335/70000 [10:00:57<14:53:22, 1.29s/step] Training: 40%|████ | 28336/70000 [10:00:58<14:32:12, 1.26s/step] Training: 40%|████ | 28337/70000 [10:01:00<14:17:41, 1.24s/step] Training: 40%|████ | 28338/70000 [10:01:01<14:07:20, 1.22s/step] Training: 40%|████ | 28339/70000 [10:01:02<14:23:41, 1.24s/step] Training: 40%|████ | 28340/70000 [10:01:03<14:10:30, 1.22s/step] Training: 40%|████ | 28341/70000 [10:01:05<14:03:49, 1.22s/step] Training: 40%|████ | 28342/70000 [10:01:06<14:54:10, 1.29s/step] Training: 40%|████ | 28343/70000 [10:01:07<15:02:44, 1.30s/step] Training: 40%|████ | 28344/70000 [10:01:08<14:39:49, 1.27s/step] Training: 40%|████ | 28345/70000 [10:01:10<14:27:12, 1.25s/step] Training: 40%|████ | 28346/70000 [10:01:11<14:13:09, 1.23s/step] Training: 40%|████ | 28347/70000 [10:01:12<14:07:00, 1.22s/step] Training: 40%|████ | 28348/70000 [10:01:13<14:35:00, 1.26s/step] Training: 40%|████ | 28349/70000 [10:01:15<14:44:56, 1.27s/step] Training: 40%|████ | 28350/70000 [10:01:16<15:10:12, 1.31s/step] Training: 41%|████ | 28351/70000 [10:01:17<15:15:39, 1.32s/step] Training: 41%|████ | 28352/70000 [10:01:19<14:48:47, 1.28s/step] Training: 41%|████ | 28353/70000 [10:01:20<14:29:15, 1.25s/step] Training: 41%|████ | 28354/70000 [10:01:21<14:16:19, 1.23s/step] Training: 41%|████ | 28355/70000 [10:01:22<14:38:25, 1.27s/step] Training: 41%|████ | 28356/70000 [10:01:24<14:33:12, 1.26s/step] Training: 41%|████ | 28357/70000 [10:01:25<14:49:01, 1.28s/step] Training: 41%|████ | 28358/70000 [10:01:26<14:58:37, 1.29s/step] Training: 41%|████ | 28359/70000 [10:01:28<15:09:30, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73788 Training: 41%|████ | 28360/70000 [10:01:29<14:43:48, 1.27s/step] Training: 41%|████ | 28361/70000 [10:01:30<14:26:11, 1.25s/step] Training: 41%|████ | 28362/70000 [10:01:31<14:13:54, 1.23s/step] Training: 41%|████ | 28363/70000 [10:01:33<14:34:00, 1.26s/step] Training: 41%|████ | 28364/70000 [10:01:34<14:18:59, 1.24s/step] Training: 41%|████ | 28365/70000 [10:01:35<14:42:47, 1.27s/step] Training: 41%|████ | 28366/70000 [10:01:36<14:55:47, 1.29s/step] Training: 41%|████ | 28367/70000 [10:01:38<14:39:25, 1.27s/step] Training: 41%|████ | 28368/70000 [10:01:39<14:22:38, 1.24s/step] Training: 41%|████ | 28369/70000 [10:01:40<14:10:56, 1.23s/step] Training: 41%|████ | 28370/70000 [10:01:41<14:03:00, 1.22s/step] Training: 41%|████ | 28371/70000 [10:01:42<14:07:24, 1.22s/step] Training: 41%|████ | 28372/70000 [10:01:44<14:35:23, 1.26s/step] Training: 41%|████ | 28373/70000 [10:01:45<14:46:26, 1.28s/step] Training: 41%|████ | 28374/70000 [10:01:46<15:07:27, 1.31s/step] Training: 41%|████ | 28375/70000 [10:01:48<15:11:27, 1.31s/step] Training: 41%|████ | 28376/70000 [10:01:49<14:44:46, 1.28s/step] Training: 41%|████ | 28377/70000 [10:01:50<14:27:49, 1.25s/step] Training: 41%|████ | 28378/70000 [10:01:51<14:14:41, 1.23s/step] Training: 41%|████ | 28379/70000 [10:01:53<14:10:48, 1.23s/step] Training: 41%|████ | 28380/70000 [10:01:54<14:37:23, 1.26s/step] Training: 41%|████ | 28381/70000 [10:01:55<14:47:20, 1.28s/step] Training: 41%|████ | 28382/70000 [10:01:57<15:06:00, 1.31s/step] Training: 41%|████ | 28383/70000 [10:01:58<15:11:38, 1.31s/step] Training: 41%|████ | 28384/70000 [10:01:59<14:45:10, 1.28s/step] Training: 41%|████ | 28385/70000 [10:02:00<14:27:01, 1.25s/step] Training: 41%|████ | 28386/70000 [10:02:01<14:14:51, 1.23s/step] Training: 41%|████ | 28387/70000 [10:02:03<14:35:50, 1.26s/step] Training: 41%|████ | 28388/70000 [10:02:04<14:58:49, 1.30s/step] Training: 41%|████ | 28389/70000 [10:02:06<15:03:42, 1.30s/step] Training: 41%|████ | 28390/70000 [10:02:07<15:10:11, 1.31s/step] Training: 41%|████ | 28391/70000 [10:02:08<15:14:24, 1.32s/step] Training: 41%|████ | 28392/70000 [10:02:09<14:48:15, 1.28s/step] Training: 41%|████ | 28393/70000 [10:02:11<14:31:07, 1.26s/step] Training: 41%|████ | 28394/70000 [10:02:12<14:17:05, 1.24s/step] Training: 41%|████ | 28395/70000 [10:02:13<14:36:41, 1.26s/step] Training: 41%|████ | 28396/70000 [10:02:14<14:44:44, 1.28s/step] Training: 41%|████ | 28397/70000 [10:02:16<14:30:20, 1.26s/step] Training: 41%|████ | 28398/70000 [10:02:17<14:47:06, 1.28s/step] Training: 41%|████ | 28399/70000 [10:02:18<14:33:24, 1.26s/step] Training: 41%|████ | 28400/70000 [10:02:19<14:19:41, 1.24s/step]INFO 2026-03-13 06:12:11 ot_train.py:435 step:28K smpl:2M ep:6K epch:24.07 loss:0.033 grdn:4.984 lr:1.7e-05 updt_s:1.248 data_s:0.056 Training: 41%|████ | 28401/70000 [10:02:21<14:08:46, 1.22s/step] Training: 41%|████ | 28402/70000 [10:02:22<14:02:02, 1.21s/step] Training: 41%|████ | 28403/70000 [10:02:23<14:06:47, 1.22s/step] Training: 41%|████ | 28404/70000 [10:02:24<14:00:49, 1.21s/step] Training: 41%|████ | 28405/70000 [10:02:26<14:50:48, 1.28s/step] Training: 41%|████ | 28406/70000 [10:02:27<15:10:07, 1.31s/step] Training: 41%|████ | 28407/70000 [10:02:28<15:13:02, 1.32s/step] Training: 41%|████ | 28408/70000 [10:02:30<14:46:28, 1.28s/step] Training: 41%|████ | 28409/70000 [10:02:31<14:28:19, 1.25s/step] Training: 41%|████ | 28410/70000 [10:02:32<14:15:28, 1.23s/step] Training: 41%|████ | 28411/70000 [10:02:33<14:11:46, 1.23s/step] Training: 41%|████ | 28412/70000 [10:02:34<14:04:56, 1.22s/step] Training: 41%|████ | 28413/70000 [10:02:36<14:46:44, 1.28s/step] Training: 41%|████ | 28414/70000 [10:02:37<15:05:46, 1.31s/step] Training: 41%|████ | 28415/70000 [10:02:38<15:10:40, 1.31s/step] Training: 41%|████ | 28416/70000 [10:02:40<14:46:48, 1.28s/step] Training: 41%|████ | 28417/70000 [10:02:41<14:27:29, 1.25s/step] Training: 41%|████ | 28418/70000 [10:02:42<14:14:56, 1.23s/step] Training: 41%|████ | 28419/70000 [10:02:43<14:33:52, 1.26s/step] Training: 41%|████ | 28420/70000 [10:02:45<14:18:53, 1.24s/step] Training: 41%|████ | 28421/70000 [10:02:46<14:37:59, 1.27s/step] Training: 41%|████ | 28422/70000 [10:02:47<15:23:02, 1.33s/step] Training: 41%|████ | 28423/70000 [10:02:49<15:21:19, 1.33s/step] Training: 41%|████ | 28424/70000 [10:02:50<14:53:00, 1.29s/step] Training: 41%|████ | 28425/70000 [10:02:51<14:31:35, 1.26s/step] Training: 41%|████ | 28426/70000 [10:02:52<14:18:56, 1.24s/step] Training: 41%|████ | 28427/70000 [10:02:54<14:39:04, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73788 Training: 41%|████ | 28428/70000 [10:02:55<14:23:21, 1.25s/step] Training: 41%|████ | 28429/70000 [10:02:56<14:47:35, 1.28s/step] Training: 41%|████ | 28430/70000 [10:02:57<14:57:33, 1.30s/step] Training: 41%|████ | 28431/70000 [10:02:59<14:40:40, 1.27s/step] Training: 41%|████ | 28432/70000 [10:03:00<14:24:22, 1.25s/step] Training: 41%|████ | 28433/70000 [10:03:01<14:11:32, 1.23s/step] Training: 41%|████ | 28434/70000 [10:03:02<14:02:54, 1.22s/step] Training: 41%|████ | 28435/70000 [10:03:03<14:07:42, 1.22s/step] Training: 41%|████ | 28436/70000 [10:03:05<14:00:45, 1.21s/step] Training: 41%|████ | 28437/70000 [10:03:06<14:23:43, 1.25s/step] Training: 41%|████ | 28438/70000 [10:03:07<14:58:52, 1.30s/step] Training: 41%|████ | 28439/70000 [10:03:09<15:05:22, 1.31s/step] Training: 41%|████ | 28440/70000 [10:03:10<14:41:09, 1.27s/step] Training: 41%|████ | 28441/70000 [10:03:11<14:23:54, 1.25s/step] Training: 41%|████ | 28442/70000 [10:03:12<14:11:09, 1.23s/step] Training: 41%|████ | 28443/70000 [10:03:14<14:08:43, 1.23s/step] Training: 41%|████ | 28444/70000 [10:03:15<14:02:02, 1.22s/step] Training: 41%|████ | 28445/70000 [10:03:16<14:24:55, 1.25s/step] Training: 41%|████ | 28446/70000 [10:03:18<15:09:29, 1.31s/step] Training: 41%|████ | 28447/70000 [10:03:19<15:12:04, 1.32s/step] Training: 41%|████ | 28448/70000 [10:03:20<14:44:46, 1.28s/step] Training: 41%|████ | 28449/70000 [10:03:21<14:25:41, 1.25s/step] Training: 41%|████ | 28450/70000 [10:03:22<14:13:00, 1.23s/step] Training: 41%|████ | 28451/70000 [10:03:24<14:32:54, 1.26s/step] Training: 41%|████ | 28452/70000 [10:03:25<14:17:59, 1.24s/step] Training: 41%|████ | 28453/70000 [10:03:26<14:36:34, 1.27s/step] Training: 41%|████ | 28454/70000 [10:03:28<14:51:43, 1.29s/step] Training: 41%|████ | 28455/70000 [10:03:29<14:58:58, 1.30s/step] Training: 41%|████ | 28456/70000 [10:03:30<14:36:13, 1.27s/step] Training: 41%|████ | 28457/70000 [10:03:31<14:20:04, 1.24s/step] Training: 41%|████ | 28458/70000 [10:03:32<14:09:42, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=54698 Training: 41%|████ | 28459/70000 [10:03:34<14:31:32, 1.26s/step] Training: 41%|████ | 28460/70000 [10:03:35<14:16:32, 1.24s/step] Training: 41%|████ | 28461/70000 [10:03:36<14:12:20, 1.23s/step] Training: 41%|████ | 28462/70000 [10:03:38<14:44:49, 1.28s/step] Training: 41%|████ | 28463/70000 [10:03:39<14:51:52, 1.29s/step] Training: 41%|████ | 28464/70000 [10:03:40<14:31:08, 1.26s/step] Training: 41%|████ | 28465/70000 [10:03:41<14:16:24, 1.24s/step] Training: 41%|████ | 28466/70000 [10:03:42<14:06:24, 1.22s/step] Training: 41%|████ | 28467/70000 [10:03:44<14:09:17, 1.23s/step] Training: 41%|████ | 28468/70000 [10:03:45<14:04:47, 1.22s/step] Training: 41%|████ | 28469/70000 [10:03:46<14:27:46, 1.25s/step] Training: 41%|████ | 28470/70000 [10:03:48<14:54:10, 1.29s/step] Training: 41%|████ | 28471/70000 [10:03:49<15:24:12, 1.34s/step] Training: 41%|████ | 28472/70000 [10:03:50<14:53:47, 1.29s/step] Training: 41%|████ | 28473/70000 [10:03:51<14:33:13, 1.26s/step] Training: 41%|████ | 28474/70000 [10:03:53<14:18:29, 1.24s/step] Training: 41%|████ | 28475/70000 [10:03:54<14:14:15, 1.23s/step] Training: 41%|████ | 28476/70000 [10:03:55<14:05:14, 1.22s/step] Training: 41%|████ | 28477/70000 [10:03:56<14:28:23, 1.25s/step] Training: 41%|████ | 28478/70000 [10:03:58<14:56:15, 1.30s/step] Training: 41%|████ | 28479/70000 [10:03:59<15:25:31, 1.34s/step] Training: 41%|████ | 28480/70000 [10:04:00<14:55:19, 1.29s/step] Training: 41%|████ | 28481/70000 [10:04:02<14:33:06, 1.26s/step] Training: 41%|████ | 28482/70000 [10:04:03<14:18:03, 1.24s/step] Training: 41%|████ | 28483/70000 [10:04:04<14:38:48, 1.27s/step] Training: 41%|████ | 28484/70000 [10:04:05<14:22:10, 1.25s/step] Training: 41%|████ | 28485/70000 [10:04:07<14:41:21, 1.27s/step] Training: 41%|████ | 28486/70000 [10:04:08<14:55:03, 1.29s/step] Training: 41%|████ | 28487/70000 [10:04:09<15:21:08, 1.33s/step] Training: 41%|████ | 28488/70000 [10:04:11<14:52:39, 1.29s/step] Training: 41%|████ | 28489/70000 [10:04:12<14:30:11, 1.26s/step] Training: 41%|████ | 28490/70000 [10:04:13<14:17:41, 1.24s/step] Training: 41%|████ | 28491/70000 [10:04:14<14:37:39, 1.27s/step] Training: 41%|████ | 28492/70000 [10:04:15<14:21:35, 1.25s/step] Training: 41%|████ | 28493/70000 [10:04:17<14:14:58, 1.24s/step] Training: 41%|████ | 28494/70000 [10:04:18<14:45:16, 1.28s/step] Training: 41%|████ | 28495/70000 [10:04:19<14:36:13, 1.27s/step] Training: 41%|████ | 28496/70000 [10:04:21<14:18:20, 1.24s/step] Training: 41%|████ | 28497/70000 [10:04:22<14:08:44, 1.23s/step] Training: 41%|████ | 28498/70000 [10:04:23<14:00:51, 1.22s/step] Training: 41%|████ | 28499/70000 [10:04:24<14:03:34, 1.22s/step] Training: 41%|████ | 28500/70000 [10:04:25<13:57:25, 1.21s/step]INFO 2026-03-13 06:14:17 ot_train.py:435 step:28K smpl:2M ep:6K epch:24.16 loss:0.030 grdn:5.207 lr:1.6e-05 updt_s:1.238 data_s:0.019 Training: 41%|████ | 28501/70000 [10:04:27<14:23:00, 1.25s/step] Training: 41%|████ | 28502/70000 [10:04:28<14:50:39, 1.29s/step] Training: 41%|████ | 28503/70000 [10:04:29<15:02:02, 1.30s/step] Training: 41%|████ | 28504/70000 [10:04:31<15:14:10, 1.32s/step] Training: 41%|████ | 28505/70000 [10:04:32<14:45:00, 1.28s/step] Training: 41%|████ | 28506/70000 [10:04:33<14:27:38, 1.25s/step] Training: 41%|████ | 28507/70000 [10:04:34<14:21:10, 1.25s/step] Training: 41%|████ | 28508/70000 [10:04:36<14:09:56, 1.23s/step] Training: 41%|████ | 28509/70000 [10:04:37<14:29:25, 1.26s/step] Training: 41%|████ | 28510/70000 [10:04:38<14:47:29, 1.28s/step] Training: 41%|████ | 28511/70000 [10:04:40<14:57:40, 1.30s/step] Training: 41%|████ | 28512/70000 [10:04:41<15:01:37, 1.30s/step] Training: 41%|████ | 28513/70000 [10:04:42<14:35:46, 1.27s/step] Training: 41%|████ | 28514/70000 [10:04:43<14:19:28, 1.24s/step] Training: 41%|████ | 28515/70000 [10:04:45<14:39:21, 1.27s/step] Training: 41%|████ | 28516/70000 [10:04:46<14:22:15, 1.25s/step] Training: 41%|████ | 28517/70000 [10:04:47<14:19:44, 1.24s/step] Training: 41%|████ | 28518/70000 [10:04:48<14:37:51, 1.27s/step] Training: 41%|████ | 28519/70000 [10:04:50<14:50:52, 1.29s/step] Training: 41%|████ | 28520/70000 [10:04:51<15:03:07, 1.31s/step] Training: 41%|████ | 28521/70000 [10:04:52<14:36:44, 1.27s/step] Training: 41%|████ | 28522/70000 [10:04:53<14:19:46, 1.24s/step] Training: 41%|████ | 28523/70000 [10:04:55<14:37:26, 1.27s/step] Training: 41%|████ | 28524/70000 [10:04:56<14:20:55, 1.25s/step] Training: 41%|████ | 28525/70000 [10:04:57<14:14:55, 1.24s/step] Training: 41%|████ | 28526/70000 [10:04:58<14:41:39, 1.28s/step] Training: 41%|████ | 28527/70000 [10:05:00<14:27:24, 1.25s/step] Training: 41%|████ | 28528/70000 [10:05:01<14:14:35, 1.24s/step] Training: 41%|████ | 28529/70000 [10:05:02<14:36:33, 1.27s/step] Training: 41%|████ | 28530/70000 [10:05:03<14:18:20, 1.24s/step] Training: 41%|████ | 28531/70000 [10:05:05<14:18:22, 1.24s/step] Training: 41%|████ | 28532/70000 [10:05:06<14:09:10, 1.23s/step] Training: 41%|████ | 28533/70000 [10:05:07<14:32:34, 1.26s/step] Training: 41%|████ | 28534/70000 [10:05:09<14:58:53, 1.30s/step] Training: 41%|████ | 28535/70000 [10:05:10<15:05:45, 1.31s/step] Training: 41%|████ | 28536/70000 [10:05:11<14:40:18, 1.27s/step] Training: 41%|████ | 28537/70000 [10:05:12<14:56:49, 1.30s/step] Training: 41%|████ | 28538/70000 [10:05:14<14:32:47, 1.26s/step] Training: 41%|████ | 28539/70000 [10:05:15<14:23:52, 1.25s/step] Training: 41%|████ | 28540/70000 [10:05:16<14:12:15, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=17090 Training: 41%|████ | 28541/70000 [10:05:17<14:32:27, 1.26s/step] Training: 41%|████ | 28542/70000 [10:05:19<14:49:36, 1.29s/step] Training: 41%|████ | 28543/70000 [10:05:20<14:58:50, 1.30s/step] Training: 41%|████ | 28544/70000 [10:05:21<14:36:06, 1.27s/step] Training: 41%|████ | 28545/70000 [10:05:22<14:22:24, 1.25s/step] Training: 41%|████ | 28546/70000 [10:05:24<14:08:16, 1.23s/step] Training: 41%|████ | 28547/70000 [10:05:25<14:27:54, 1.26s/step] Training: 41%|████ | 28548/70000 [10:05:26<14:14:28, 1.24s/step] Training: 41%|████ | 28549/70000 [10:05:27<14:14:58, 1.24s/step] Training: 41%|████ | 28550/70000 [10:05:29<14:51:46, 1.29s/step] Training: 41%|████ | 28551/70000 [10:05:30<15:02:00, 1.31s/step] Training: 41%|████ | 28552/70000 [10:05:31<14:37:43, 1.27s/step] Training: 41%|████ | 28553/70000 [10:05:33<14:50:48, 1.29s/step] Training: 41%|████ | 28554/70000 [10:05:34<14:27:30, 1.26s/step] Training: 41%|████ | 28555/70000 [10:05:35<14:44:38, 1.28s/step] Training: 41%|████ | 28556/70000 [10:05:36<14:25:30, 1.25s/step] Training: 41%|████ | 28557/70000 [10:05:38<14:17:35, 1.24s/step] Training: 41%|████ | 28558/70000 [10:05:39<14:17:08, 1.24s/step] Training: 41%|████ | 28559/70000 [10:05:40<14:42:58, 1.28s/step] Training: 41%|████ | 28560/70000 [10:05:41<14:24:02, 1.25s/step] Training: 41%|████ | 28561/70000 [10:05:43<14:45:10, 1.28s/step] Training: 41%|████ | 28562/70000 [10:05:44<14:26:32, 1.25s/step] Training: 41%|████ | 28563/70000 [10:05:45<14:19:54, 1.25s/step] Training: 41%|████ | 28564/70000 [10:05:46<14:09:23, 1.23s/step] Training: 41%|████ | 28565/70000 [10:05:48<14:29:01, 1.26s/step] Training: 41%|████ | 28566/70000 [10:05:49<14:19:43, 1.24s/step] Training: 41%|████ | 28567/70000 [10:05:50<14:37:23, 1.27s/step] Training: 41%|████ | 28568/70000 [10:05:51<14:21:05, 1.25s/step] Training: 41%|████ | 28569/70000 [10:05:53<14:19:53, 1.25s/step] Training: 41%|████ | 28570/70000 [10:05:54<14:06:36, 1.23s/step] Training: 41%|████ | 28571/70000 [10:05:55<14:05:09, 1.22s/step] Training: 41%|████ | 28572/70000 [10:05:56<13:58:10, 1.21s/step] Training: 41%|████ | 28573/70000 [10:05:58<14:23:44, 1.25s/step] Training: 41%|████ | 28574/70000 [10:05:59<14:45:41, 1.28s/step] Training: 41%|████ | 28575/70000 [10:06:00<14:56:42, 1.30s/step] Training: 41%|████ | 28576/70000 [10:06:01<14:33:54, 1.27s/step] Training: 41%|████ | 28577/70000 [10:06:03<14:17:54, 1.24s/step] Training: 41%|████ | 28578/70000 [10:06:04<14:42:20, 1.28s/step] Training: 41%|████ | 28579/70000 [10:06:05<14:52:52, 1.29s/step] Training: 41%|████ | 28580/70000 [10:06:06<14:32:42, 1.26s/step] Training: 41%|████ | 28581/70000 [10:06:08<14:24:03, 1.25s/step] Training: 41%|████ | 28582/70000 [10:06:09<14:38:45, 1.27s/step] Training: 41%|████ | 28583/70000 [10:06:10<14:56:56, 1.30s/step] Training: 41%|████ | 28584/70000 [10:06:12<14:35:00, 1.27s/step] Training: 41%|████ | 28585/70000 [10:06:13<14:18:51, 1.24s/step] Training: 41%|████ | 28586/70000 [10:06:14<14:30:50, 1.26s/step] Training: 41%|████ | 28587/70000 [10:06:15<14:42:45, 1.28s/step] Training: 41%|████ | 28588/70000 [10:06:17<14:24:20, 1.25s/step] Training: 41%|████ | 28589/70000 [10:06:18<14:15:12, 1.24s/step] Training: 41%|████ | 28590/70000 [10:06:19<14:44:48, 1.28s/step] Training: 41%|████ | 28591/70000 [10:06:20<14:37:44, 1.27s/step] Training: 41%|████ | 28592/70000 [10:06:22<14:20:52, 1.25s/step] Training: 41%|████ | 28593/70000 [10:06:23<14:08:56, 1.23s/step] Training: 41%|████ | 28594/70000 [10:06:24<14:36:02, 1.27s/step] Training: 41%|████ | 28595/70000 [10:06:25<14:23:47, 1.25s/step] Training: 41%|████ | 28596/70000 [10:06:27<14:10:43, 1.23s/step] Training: 41%|████ | 28597/70000 [10:06:28<14:30:47, 1.26s/step] Training: 41%|████ | 28598/70000 [10:06:29<14:46:13, 1.28s/step] Training: 41%|████ | 28599/70000 [10:06:31<14:55:08, 1.30s/step] Training: 41%|████ | 28600/70000 [10:06:32<14:32:28, 1.26s/step]INFO 2026-03-13 06:16:24 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.24 loss:0.031 grdn:4.298 lr:1.6e-05 updt_s:1.244 data_s:0.019 Training: 41%|████ | 28601/70000 [10:06:33<14:16:45, 1.24s/step] Training: 41%|████ | 28602/70000 [10:06:34<14:06:06, 1.23s/step] Training: 41%|████ | 28603/70000 [10:06:35<14:29:47, 1.26s/step] Training: 41%|████ | 28604/70000 [10:06:37<14:13:37, 1.24s/step] Training: 41%|████ | 28605/70000 [10:06:38<14:33:26, 1.27s/step] Training: 41%|████ | 28606/70000 [10:06:39<14:55:07, 1.30s/step] Training: 41%|████ | 28607/70000 [10:06:41<15:02:15, 1.31s/step] Training: 41%|████ | 28608/70000 [10:06:42<14:37:32, 1.27s/step] Training: 41%|████ | 28609/70000 [10:06:43<14:20:59, 1.25s/step] Training: 41%|████ | 28610/70000 [10:06:44<14:08:39, 1.23s/step] Training: 41%|████ | 28611/70000 [10:06:46<14:53:13, 1.29s/step] Training: 41%|████ | 28612/70000 [10:06:47<14:32:15, 1.26s/step] Training: 41%|████ | 28613/70000 [10:06:48<14:28:33, 1.26s/step] Training: 41%|████ | 28614/70000 [10:06:49<14:43:39, 1.28s/step] Training: 41%|████ | 28615/70000 [10:06:51<14:59:27, 1.30s/step] Training: 41%|████ | 28616/70000 [10:06:52<14:35:31, 1.27s/step] Training: 41%|████ | 28617/70000 [10:06:53<14:20:08, 1.25s/step] Training: 41%|████ | 28618/70000 [10:06:54<14:07:49, 1.23s/step] Training: 41%|████ | 28619/70000 [10:06:56<14:28:04, 1.26s/step] Training: 41%|████ | 28620/70000 [10:06:57<14:13:37, 1.24s/step] Training: 41%|████ | 28621/70000 [10:06:58<14:06:53, 1.23s/step] Training: 41%|████ | 28622/70000 [10:06:59<14:35:19, 1.27s/step] Training: 41%|████ | 28623/70000 [10:07:01<14:33:02, 1.27s/step] Training: 41%|████ | 28624/70000 [10:07:02<14:16:35, 1.24s/step] Training: 41%|████ | 28625/70000 [10:07:03<14:06:22, 1.23s/step] Training: 41%|████ | 28626/70000 [10:07:04<13:58:16, 1.22s/step] Training: 41%|████ | 28627/70000 [10:07:06<14:01:57, 1.22s/step] Training: 41%|████ | 28628/70000 [10:07:07<13:55:08, 1.21s/step] Training: 41%|████ | 28629/70000 [10:07:08<14:19:42, 1.25s/step] Training: 41%|████ | 28630/70000 [10:07:09<14:34:37, 1.27s/step] Training: 41%|████ | 28631/70000 [10:07:11<14:47:46, 1.29s/step] Training: 41%|████ | 28632/70000 [10:07:12<14:26:58, 1.26s/step] Training: 41%|████ | 28633/70000 [10:07:13<14:12:13, 1.24s/step] Training: 41%|████ | 28634/70000 [10:07:14<14:02:19, 1.22s/step] Training: 41%|████ | 28635/70000 [10:07:16<14:09:54, 1.23s/step] Training: 41%|████ | 28636/70000 [10:07:17<13:59:00, 1.22s/step] Training: 41%|████ | 28637/70000 [10:07:18<14:21:22, 1.25s/step] Training: 41%|████ | 28638/70000 [10:07:19<14:10:37, 1.23s/step] Training: 41%|████ | 28639/70000 [10:07:21<14:55:31, 1.30s/step] Training: 41%|████ | 28640/70000 [10:07:22<14:33:08, 1.27s/step] Training: 41%|████ | 28641/70000 [10:07:23<14:16:52, 1.24s/step] Training: 41%|████ | 28642/70000 [10:07:24<14:04:54, 1.23s/step] Training: 41%|████ | 28643/70000 [10:07:26<14:28:15, 1.26s/step] Training: 41%|████ | 28644/70000 [10:07:27<14:47:42, 1.29s/step] Training: 41%|████ | 28645/70000 [10:07:28<14:33:48, 1.27s/step] Training: 41%|████ | 28646/70000 [10:07:29<14:25:46, 1.26s/step] Training: 41%|████ | 28647/70000 [10:07:31<14:51:39, 1.29s/step] Training: 41%|████ | 28648/70000 [10:07:32<14:30:02, 1.26s/step] Training: 41%|████ | 28649/70000 [10:07:33<14:14:30, 1.24s/step] Training: 41%|████ | 28650/70000 [10:07:34<14:05:49, 1.23s/step] Training: 41%|████ | 28651/70000 [10:07:36<14:25:45, 1.26s/step] Training: 41%|████ | 28652/70000 [10:07:37<14:27:42, 1.26s/step] Training: 41%|████ | 28653/70000 [10:07:38<14:16:58, 1.24s/step] Training: 41%|████ | 28654/70000 [10:07:39<14:04:58, 1.23s/step] Training: 41%|████ | 28655/70000 [10:07:41<14:30:27, 1.26s/step] Training: 41%|████ | 28656/70000 [10:07:42<14:14:36, 1.24s/step] Training: 41%|████ | 28657/70000 [10:07:43<14:03:50, 1.22s/step] Training: 41%|████ | 28658/70000 [10:07:44<13:56:11, 1.21s/step] Training: 41%|████ | 28659/70000 [10:07:45<14:00:00, 1.22s/step] Training: 41%|████ | 28660/70000 [10:07:47<14:05:08, 1.23s/step] Training: 41%|████ | 28661/70000 [10:07:48<14:24:17, 1.25s/step] Training: 41%|████ | 28662/70000 [10:07:49<14:41:21, 1.28s/step] Training: 41%|████ | 28663/70000 [10:07:51<14:52:38, 1.30s/step] Training: 41%|████ | 28664/70000 [10:07:52<14:31:42, 1.27s/step] Training: 41%|████ | 28665/70000 [10:07:53<14:15:08, 1.24s/step] Training: 41%|████ | 28666/70000 [10:07:54<14:04:30, 1.23s/step] Training: 41%|████ | 28667/70000 [10:07:55<14:00:25, 1.22s/step] Training: 41%|████ | 28668/70000 [10:07:57<13:55:22, 1.21s/step] Training: 41%|████ | 28669/70000 [10:07:58<14:43:59, 1.28s/step] Training: 41%|████ | 28670/70000 [10:07:59<14:57:13, 1.30s/step] Training: 41%|████ | 28671/70000 [10:08:01<15:04:21, 1.31s/step] Training: 41%|████ | 28672/70000 [10:08:02<14:38:55, 1.28s/step] Training: 41%|████ | 28673/70000 [10:08:03<14:21:07, 1.25s/step] Training: 41%|████ | 28674/70000 [10:08:04<14:08:50, 1.23s/step] Training: 41%|████ | 28675/70000 [10:08:06<14:29:32, 1.26s/step] Training: 41%|████ | 28676/70000 [10:08:07<14:16:16, 1.24s/step] Training: 41%|████ | 28677/70000 [10:08:08<14:25:18, 1.26s/step] Training: 41%|████ | 28678/70000 [10:08:10<14:39:01, 1.28s/step] Training: 41%|████ | 28679/70000 [10:08:11<14:56:43, 1.30s/step] Training: 41%|████ | 28680/70000 [10:08:12<14:33:00, 1.27s/step] Training: 41%|████ | 28681/70000 [10:08:13<14:17:33, 1.25s/step] Training: 41%|████ | 28682/70000 [10:08:14<14:07:13, 1.23s/step] Training: 41%|████ | 28683/70000 [10:08:16<14:27:00, 1.26s/step] Training: 41%|████ | 28684/70000 [10:08:17<14:14:11, 1.24s/step] Training: 41%|████ | 28685/70000 [10:08:18<14:37:57, 1.28s/step] Training: 41%|████ | 28686/70000 [10:08:20<14:25:06, 1.26s/step] Training: 41%|████ | 28687/70000 [10:08:21<14:36:13, 1.27s/step] Training: 41%|████ | 28688/70000 [10:08:22<14:19:46, 1.25s/step] Training: 41%|████ | 28689/70000 [10:08:23<14:07:10, 1.23s/step] Training: 41%|████ | 28690/70000 [10:08:24<13:58:48, 1.22s/step] Training: 41%|████ | 28691/70000 [10:08:26<14:01:55, 1.22s/step] Training: 41%|████ | 28692/70000 [10:08:27<13:56:03, 1.21s/step] Training: 41%|████ | 28693/70000 [10:08:28<14:25:14, 1.26s/step] Training: 41%|████ | 28694/70000 [10:08:30<14:41:27, 1.28s/step] Training: 41%|████ | 28695/70000 [10:08:31<14:53:30, 1.30s/step] Training: 41%|████ | 28696/70000 [10:08:32<14:31:48, 1.27s/step] Training: 41%|████ | 28697/70000 [10:08:33<14:15:08, 1.24s/step] Training: 41%|████ | 28698/70000 [10:08:34<14:04:18, 1.23s/step] Training: 41%|████ | 28699/70000 [10:08:36<14:06:43, 1.23s/step] Training: 41%|████ | 28700/70000 [10:08:37<13:58:46, 1.22s/step]INFO 2026-03-13 06:18:29 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.33 loss:0.034 grdn:5.621 lr:1.6e-05 updt_s:1.230 data_s:0.019 Training: 41%|████ | 28701/70000 [10:08:38<14:22:19, 1.25s/step] Training: 41%|████ | 28702/70000 [10:08:40<14:52:13, 1.30s/step] Training: 41%|████ | 28703/70000 [10:08:41<15:02:36, 1.31s/step] Training: 41%|████ | 28704/70000 [10:08:42<14:37:36, 1.28s/step] Training: 41%|████ | 28705/70000 [10:08:43<14:19:54, 1.25s/step] Training: 41%|████ | 28706/70000 [10:08:45<14:07:43, 1.23s/step] Training: 41%|████ | 28707/70000 [10:08:46<13:58:34, 1.22s/step] Training: 41%|████ | 28708/70000 [10:08:47<14:20:28, 1.25s/step] Training: 41%|████ | 28709/70000 [10:08:48<14:16:11, 1.24s/step] Training: 41%|████ | 28710/70000 [10:08:50<14:54:15, 1.30s/step] Training: 41%|████ | 28711/70000 [10:08:51<15:09:47, 1.32s/step] Training: 41%|████ | 28712/70000 [10:08:52<14:42:35, 1.28s/step] Training: 41%|████ | 28713/70000 [10:08:53<14:23:07, 1.25s/step] Training: 41%|████ | 28714/70000 [10:08:55<14:09:05, 1.23s/step] Training: 41%|████ | 28715/70000 [10:08:56<13:59:51, 1.22s/step] Training: 41%|████ | 28716/70000 [10:08:57<13:53:42, 1.21s/step] Training: 41%|████ | 28717/70000 [10:08:58<13:56:58, 1.22s/step] Training: 41%|████ | 28718/70000 [10:09:00<14:20:59, 1.25s/step] Training: 41%|████ | 28719/70000 [10:09:01<15:01:55, 1.31s/step] Training: 41%|████ | 28720/70000 [10:09:02<14:37:08, 1.27s/step] Training: 41%|████ | 28721/70000 [10:09:03<14:19:36, 1.25s/step] Training: 41%|████ | 28722/70000 [10:09:05<14:06:56, 1.23s/step] Training: 41%|████ | 28723/70000 [10:09:06<14:06:55, 1.23s/step] Training: 41%|████ | 28724/70000 [10:09:07<13:58:40, 1.22s/step] Training: 41%|████ | 28725/70000 [10:09:08<14:22:33, 1.25s/step] Training: 41%|████ | 28726/70000 [10:09:10<14:42:04, 1.28s/step] Training: 41%|████ | 28727/70000 [10:09:11<14:53:09, 1.30s/step] Training: 41%|████ | 28728/70000 [10:09:12<14:30:41, 1.27s/step] Training: 41%|████ | 28729/70000 [10:09:13<14:15:13, 1.24s/step] Training: 41%|████ | 28730/70000 [10:09:15<14:04:21, 1.23s/step] Training: 41%|████ | 28731/70000 [10:09:16<14:02:36, 1.23s/step] Training: 41%|████ | 28732/70000 [10:09:17<13:55:40, 1.21s/step] Training: 41%|████ | 28733/70000 [10:09:18<14:19:46, 1.25s/step] Training: 41%|████ | 28734/70000 [10:09:20<14:41:57, 1.28s/step] Training: 41%|████ | 28735/70000 [10:09:21<14:55:00, 1.30s/step] Training: 41%|████ | 28736/70000 [10:09:22<14:31:33, 1.27s/step] Training: 41%|████ | 28737/70000 [10:09:23<14:16:05, 1.24s/step] Training: 41%|████ | 28738/70000 [10:09:25<14:05:48, 1.23s/step] Training: 41%|████ | 28739/70000 [10:09:26<14:26:14, 1.26s/step] Training: 41%|████ | 28740/70000 [10:09:27<14:12:01, 1.24s/step] Training: 41%|████ | 28741/70000 [10:09:28<14:09:48, 1.24s/step] Training: 41%|████ | 28742/70000 [10:09:30<14:29:12, 1.26s/step] Training: 41%|████ | 28743/70000 [10:09:31<15:07:46, 1.32s/step] Training: 41%|████ | 28744/70000 [10:09:32<14:41:00, 1.28s/step] Training: 41%|████ | 28745/70000 [10:09:34<14:23:31, 1.26s/step] Training: 41%|████ | 28746/70000 [10:09:35<14:09:55, 1.24s/step] Training: 41%|████ | 28747/70000 [10:09:36<14:31:43, 1.27s/step] Training: 41%|████ | 28748/70000 [10:09:37<14:15:40, 1.24s/step] Training: 41%|████ | 28749/70000 [10:09:39<14:11:23, 1.24s/step] Training: 41%|████ | 28750/70000 [10:09:40<14:04:03, 1.23s/step] Training: 41%|████ | 28751/70000 [10:09:41<15:07:32, 1.32s/step] Training: 41%|████ | 28752/70000 [10:09:42<14:41:28, 1.28s/step] Training: 41%|████ | 28753/70000 [10:09:44<14:21:58, 1.25s/step] Training: 41%|████ | 28754/70000 [10:09:45<14:09:11, 1.24s/step] Training: 41%|████ | 28755/70000 [10:09:46<14:06:57, 1.23s/step] Training: 41%|████ | 28756/70000 [10:09:47<13:57:14, 1.22s/step] Training: 41%|████ | 28757/70000 [10:09:49<14:20:23, 1.25s/step] Training: 41%|████ | 28758/70000 [10:09:50<14:37:49, 1.28s/step] Training: 41%|████ | 28759/70000 [10:09:51<14:54:26, 1.30s/step] Training: 41%|████ | 28760/70000 [10:09:52<14:28:58, 1.26s/step] Training: 41%|████ | 28761/70000 [10:09:54<14:12:53, 1.24s/step] Training: 41%|████ | 28762/70000 [10:09:55<14:03:09, 1.23s/step] Training: 41%|████ | 28763/70000 [10:09:56<14:00:08, 1.22s/step] Training: 41%|████ | 28764/70000 [10:09:57<13:53:57, 1.21s/step] Training: 41%|████ | 28765/70000 [10:09:59<14:17:35, 1.25s/step] Training: 41%|████ | 28766/70000 [10:10:00<14:36:39, 1.28s/step] Training: 41%|████ | 28767/70000 [10:10:01<14:48:01, 1.29s/step] Training: 41%|████ | 28768/70000 [10:10:03<14:58:09, 1.31s/step] Training: 41%|████ | 28769/70000 [10:10:04<14:32:12, 1.27s/step] Training: 41%|████ | 28770/70000 [10:10:05<14:17:14, 1.25s/step] Training: 41%|████ | 28771/70000 [10:10:06<14:33:23, 1.27s/step] Training: 41%|████ | 28772/70000 [10:10:07<14:16:09, 1.25s/step] Training: 41%|████ | 28773/70000 [10:10:09<14:12:10, 1.24s/step] Training: 41%|████ | 28774/70000 [10:10:10<14:30:18, 1.27s/step] Training: 41%|████ | 28775/70000 [10:10:11<14:54:19, 1.30s/step] Training: 41%|████ | 28776/70000 [10:10:13<15:05:33, 1.32s/step] Training: 41%|████ | 28777/70000 [10:10:14<14:37:14, 1.28s/step] Training: 41%|████ | 28778/70000 [10:10:15<14:19:36, 1.25s/step] Training: 41%|████ | 28779/70000 [10:10:16<14:35:20, 1.27s/step] Training: 41%|████ | 28780/70000 [10:10:18<14:17:40, 1.25s/step] Training: 41%|████ | 28781/70000 [10:10:19<14:12:08, 1.24s/step] Training: 41%|████ | 28782/70000 [10:10:20<14:07:36, 1.23s/step] Training: 41%|████ | 28783/70000 [10:10:21<14:26:10, 1.26s/step] Training: 41%|████ | 28784/70000 [10:10:23<14:11:15, 1.24s/step] Training: 41%|████ | 28785/70000 [10:10:24<14:00:28, 1.22s/step] Training: 41%|████ | 28786/70000 [10:10:25<13:53:08, 1.21s/step] Training: 41%|████ | 28787/70000 [10:10:26<13:57:35, 1.22s/step] Training: 41%|████ | 28788/70000 [10:10:27<13:51:34, 1.21s/step] Training: 41%|████ | 28789/70000 [10:10:29<14:15:48, 1.25s/step] Training: 41%|████ | 28790/70000 [10:10:30<14:33:59, 1.27s/step] Training: 41%|████ | 28791/70000 [10:10:31<14:46:14, 1.29s/step] Training: 41%|████ | 28792/70000 [10:10:33<14:32:01, 1.27s/step] Training: 41%|████ | 28793/70000 [10:10:34<14:15:36, 1.25s/step] Training: 41%|████ | 28794/70000 [10:10:35<14:04:03, 1.23s/step] Training: 41%|████ | 28795/70000 [10:10:36<13:59:56, 1.22s/step] Training: 41%|████ | 28796/70000 [10:10:37<13:53:32, 1.21s/step] Training: 41%|████ | 28797/70000 [10:10:39<14:20:30, 1.25s/step] Training: 41%|████ | 28798/70000 [10:10:40<14:43:53, 1.29s/step] Training: 41%|████ | 28799/70000 [10:10:41<14:54:16, 1.30s/step] Training: 41%|████ | 28800/70000 [10:10:43<14:44:50, 1.29s/step]INFO 2026-03-13 06:20:35 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.41 loss:0.033 grdn:4.856 lr:1.6e-05 updt_s:1.237 data_s:0.019 Training: 41%|████ | 28801/70000 [10:10:44<14:21:45, 1.26s/step] Training: 41%|████ | 28802/70000 [10:10:45<14:08:29, 1.24s/step] Training: 41%|████ | 28803/70000 [10:10:46<14:28:06, 1.26s/step] Training: 41%|████ | 28804/70000 [10:10:48<14:13:10, 1.24s/step] Training: 41%|████ | 28805/70000 [10:10:49<14:13:38, 1.24s/step] Training: 41%|████ | 28806/70000 [10:10:50<14:30:26, 1.27s/step] Training: 41%|████ | 28807/70000 [10:10:52<14:52:00, 1.30s/step] Training: 41%|████ | 28808/70000 [10:10:53<14:30:04, 1.27s/step] Training: 41%|████ | 28809/70000 [10:10:54<14:48:43, 1.29s/step] Training: 41%|████ | 28810/70000 [10:10:55<14:25:03, 1.26s/step] Training: 41%|████ | 28811/70000 [10:10:57<14:39:00, 1.28s/step] Training: 41%|████ | 28812/70000 [10:10:58<14:20:28, 1.25s/step] Training: 41%|████ | 28813/70000 [10:10:59<14:13:49, 1.24s/step] Training: 41%|████ | 28814/70000 [10:11:00<14:32:23, 1.27s/step] Training: 41%|████ | 28815/70000 [10:11:02<14:26:01, 1.26s/step] Training: 41%|████ | 28816/70000 [10:11:03<14:11:09, 1.24s/step] Training: 41%|████ | 28817/70000 [10:11:04<14:15:33, 1.25s/step] Training: 41%|████ | 28818/70000 [10:11:05<14:04:02, 1.23s/step] Training: 41%|████ | 28819/70000 [10:11:06<14:04:11, 1.23s/step] Training: 41%|████ | 28820/70000 [10:11:08<13:56:10, 1.22s/step] Training: 41%|████ | 28821/70000 [10:11:09<14:17:51, 1.25s/step] Training: 41%|████ | 28822/70000 [10:11:10<14:34:04, 1.27s/step] Training: 41%|████ | 28823/70000 [10:11:12<14:45:11, 1.29s/step] Training: 41%|████ | 28824/70000 [10:11:13<14:25:12, 1.26s/step] Training: 41%|████ | 28825/70000 [10:11:14<14:21:40, 1.26s/step] Training: 41%|████ | 28826/70000 [10:11:15<14:05:32, 1.23s/step] Training: 41%|████ | 28827/70000 [10:11:16<14:03:28, 1.23s/step] Training: 41%|████ | 28828/70000 [10:11:18<13:56:19, 1.22s/step] Training: 41%|████ | 28829/70000 [10:11:19<14:19:57, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=50261 Training: 41%|████ | 28830/70000 [10:11:20<14:42:00, 1.29s/step] Training: 41%|████ | 28831/70000 [10:11:22<14:52:05, 1.30s/step] Training: 41%|████ | 28832/70000 [10:11:23<14:30:34, 1.27s/step] Training: 41%|████ | 28833/70000 [10:11:24<14:14:00, 1.24s/step] Training: 41%|████ | 28834/70000 [10:11:25<14:33:59, 1.27s/step] Training: 41%|████ | 28835/70000 [10:11:27<14:43:28, 1.29s/step] Training: 41%|████ | 28836/70000 [10:11:28<14:24:06, 1.26s/step] Training: 41%|████ | 28837/70000 [10:11:29<14:12:27, 1.24s/step] Training: 41%|████ | 28838/70000 [10:11:30<14:30:43, 1.27s/step] Training: 41%|████ | 28839/70000 [10:11:32<14:48:52, 1.30s/step] Training: 41%|████ | 28840/70000 [10:11:33<14:53:36, 1.30s/step] Training: 41%|████ | 28841/70000 [10:11:34<14:29:49, 1.27s/step] Training: 41%|████ | 28842/70000 [10:11:36<14:33:20, 1.27s/step] Training: 41%|████ | 28843/70000 [10:11:37<14:43:14, 1.29s/step] Training: 41%|████ | 28844/70000 [10:11:38<14:22:47, 1.26s/step] Training: 41%|████ | 28845/70000 [10:11:39<14:17:05, 1.25s/step] Training: 41%|████ | 28846/70000 [10:11:41<14:32:51, 1.27s/step] Training: 41%|████ | 28847/70000 [10:11:42<14:28:15, 1.27s/step] Training: 41%|████ | 28848/70000 [10:11:43<14:37:47, 1.28s/step] Training: 41%|████ | 28849/70000 [10:11:44<14:18:46, 1.25s/step] Training: 41%|████ | 28850/70000 [10:11:46<14:41:13, 1.28s/step] Training: 41%|████ | 28851/70000 [10:11:47<14:19:52, 1.25s/step] Training: 41%|████ | 28852/70000 [10:11:48<14:05:59, 1.23s/step] Training: 41%|████ | 28853/70000 [10:11:49<13:56:35, 1.22s/step] Training: 41%|████ | 28854/70000 [10:11:51<14:37:16, 1.28s/step] Training: 41%|████ | 28855/70000 [10:11:52<14:46:35, 1.29s/step] Training: 41%|████ | 28856/70000 [10:11:53<14:26:01, 1.26s/step] Training: 41%|████ | 28857/70000 [10:11:54<14:10:31, 1.24s/step] Training: 41%|████ | 28858/70000 [10:11:56<14:36:27, 1.28s/step] Training: 41%|████ | 28859/70000 [10:11:57<14:21:21, 1.26s/step] Training: 41%|████ | 28860/70000 [10:11:58<14:07:51, 1.24s/step] Training: 41%|████ | 28861/70000 [10:12:00<14:26:30, 1.26s/step] Training: 41%|████ | 28862/70000 [10:12:01<14:48:09, 1.30s/step] Training: 41%|████ | 28863/70000 [10:12:02<14:56:49, 1.31s/step] Training: 41%|████ | 28864/70000 [10:12:03<14:32:43, 1.27s/step] Training: 41%|████ | 28865/70000 [10:12:05<14:16:01, 1.25s/step] Training: 41%|████ | 28866/70000 [10:12:06<14:03:33, 1.23s/step] Training: 41%|████ | 28867/70000 [10:12:07<14:50:15, 1.30s/step] Training: 41%|████ | 28868/70000 [10:12:08<14:27:57, 1.27s/step] Training: 41%|████ | 28869/70000 [10:12:10<14:15:39, 1.25s/step] Training: 41%|████ | 28870/70000 [10:12:11<14:34:08, 1.28s/step] Training: 41%|████ | 28871/70000 [10:12:12<14:26:05, 1.26s/step] Training: 41%|████ | 28872/70000 [10:12:13<14:10:31, 1.24s/step] Training: 41%|████ | 28873/70000 [10:12:15<13:59:52, 1.23s/step] Training: 41%|████ | 28874/70000 [10:12:16<13:52:17, 1.21s/step] Training: 41%|████▏ | 28875/70000 [10:12:17<14:43:41, 1.29s/step] Training: 41%|████▏ | 28876/70000 [10:12:18<14:23:22, 1.26s/step] Training: 41%|████▏ | 28877/70000 [10:12:20<14:16:18, 1.25s/step] Training: 41%|████▏ | 28878/70000 [10:12:21<14:10:31, 1.24s/step] Training: 41%|████▏ | 28879/70000 [10:12:22<14:30:31, 1.27s/step] Training: 41%|████▏ | 28880/70000 [10:12:23<14:13:52, 1.25s/step] Training: 41%|████▏ | 28881/70000 [10:12:25<14:01:49, 1.23s/step] Training: 41%|████▏ | 28882/70000 [10:12:26<13:53:30, 1.22s/step] Training: 41%|████▏ | 28883/70000 [10:12:27<13:57:07, 1.22s/step] Training: 41%|████▏ | 28884/70000 [10:12:28<13:50:14, 1.21s/step] Training: 41%|████▏ | 28885/70000 [10:12:29<13:45:38, 1.20s/step] Training: 41%|████▏ | 28886/70000 [10:12:31<14:35:05, 1.28s/step] Training: 41%|████▏ | 28887/70000 [10:12:32<14:44:36, 1.29s/step] Training: 41%|████▏ | 28888/70000 [10:12:33<14:23:56, 1.26s/step] Training: 41%|████▏ | 28889/70000 [10:12:35<14:08:56, 1.24s/step] Training: 41%|████▏ | 28890/70000 [10:12:36<13:58:40, 1.22s/step] Training: 41%|████▏ | 28891/70000 [10:12:37<14:04:53, 1.23s/step] Training: 41%|████▏ | 28892/70000 [10:12:38<13:54:17, 1.22s/step] Training: 41%|████▏ | 28893/70000 [10:12:40<14:16:11, 1.25s/step] Training: 41%|████▏ | 28894/70000 [10:12:41<14:34:32, 1.28s/step] Training: 41%|████▏ | 28895/70000 [10:12:42<14:47:27, 1.30s/step] Training: 41%|████▏ | 28896/70000 [10:12:43<14:25:51, 1.26s/step] Training: 41%|████▏ | 28897/70000 [10:12:45<14:10:35, 1.24s/step] Training: 41%|████▏ | 28898/70000 [10:12:46<14:00:07, 1.23s/step] Training: 41%|████▏ | 28899/70000 [10:12:47<13:51:41, 1.21s/step] Training: 41%|████▏ | 28900/70000 [10:12:48<14:18:09, 1.25s/step]INFO 2026-03-13 06:22:40 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.50 loss:0.030 grdn:5.366 lr:1.6e-05 updt_s:1.235 data_s:0.019 Training: 41%|████▏ | 28901/70000 [10:12:50<14:08:53, 1.24s/step] Training: 41%|████▏ | 28902/70000 [10:12:51<14:29:19, 1.27s/step] Training: 41%|████▏ | 28903/70000 [10:12:52<14:21:11, 1.26s/step] Training: 41%|████▏ | 28904/70000 [10:12:53<14:35:53, 1.28s/step] Training: 41%|████▏ | 28905/70000 [10:12:55<14:16:59, 1.25s/step] Training: 41%|████▏ | 28906/70000 [10:12:56<14:03:31, 1.23s/step] Training: 41%|████▏ | 28907/70000 [10:12:57<13:54:46, 1.22s/step] Training: 41%|████▏ | 28908/70000 [10:12:58<14:03:06, 1.23s/step] Training: 41%|████▏ | 28909/70000 [10:12:59<14:03:06, 1.23s/step] Training: 41%|████▏ | 28910/70000 [10:13:01<13:59:18, 1.23s/step] Training: 41%|████▏ | 28911/70000 [10:13:02<14:23:40, 1.26s/step] Training: 41%|████▏ | 28912/70000 [10:13:03<14:32:47, 1.27s/step] Training: 41%|████▏ | 28913/70000 [10:13:05<14:15:08, 1.25s/step] Training: 41%|████▏ | 28914/70000 [10:13:06<14:02:56, 1.23s/step] Training: 41%|████▏ | 28915/70000 [10:13:07<14:03:12, 1.23s/step] Training: 41%|████▏ | 28916/70000 [10:13:08<13:53:53, 1.22s/step] Training: 41%|████▏ | 28917/70000 [10:13:09<14:18:36, 1.25s/step] Training: 41%|████▏ | 28918/70000 [10:13:11<14:46:07, 1.29s/step] Training: 41%|████▏ | 28919/70000 [10:13:12<14:53:47, 1.31s/step] Training: 41%|████▏ | 28920/70000 [10:13:13<14:30:08, 1.27s/step] Training: 41%|████▏ | 28921/70000 [10:13:15<14:13:41, 1.25s/step] Training: 41%|████▏ | 28922/70000 [10:13:16<14:01:41, 1.23s/step] Training: 41%|████▏ | 28923/70000 [10:13:17<13:59:14, 1.23s/step] Training: 41%|████▏ | 28924/70000 [10:13:18<14:28:02, 1.27s/step] Training: 41%|████▏ | 28925/70000 [10:13:20<14:39:20, 1.28s/step] Training: 41%|████▏ | 28926/70000 [10:13:21<14:57:02, 1.31s/step] Training: 41%|████▏ | 28927/70000 [10:13:22<15:01:33, 1.32s/step] Training: 41%|████▏ | 28928/70000 [10:13:24<14:58:46, 1.31s/step] Training: 41%|████▏ | 28929/70000 [10:13:25<14:33:40, 1.28s/step] Training: 41%|████▏ | 28930/70000 [10:13:26<14:15:32, 1.25s/step] Training: 41%|████▏ | 28931/70000 [10:13:27<14:32:52, 1.28s/step] Training: 41%|████▏ | 28932/70000 [10:13:29<14:15:10, 1.25s/step] Training: 41%|████▏ | 28933/70000 [10:13:30<14:33:59, 1.28s/step] Training: 41%|████▏ | 28934/70000 [10:13:31<14:43:10, 1.29s/step] Training: 41%|████▏ | 28935/70000 [10:13:32<14:30:09, 1.27s/step] Training: 41%|████▏ | 28936/70000 [10:13:34<14:43:29, 1.29s/step] Training: 41%|████▏ | 28937/70000 [10:13:35<14:23:02, 1.26s/step] Training: 41%|████▏ | 28938/70000 [10:13:36<14:07:35, 1.24s/step] Training: 41%|████▏ | 28939/70000 [10:13:38<14:26:19, 1.27s/step] Training: 41%|████▏ | 28940/70000 [10:13:39<14:10:37, 1.24s/step] Training: 41%|████▏ | 28941/70000 [10:13:40<14:50:54, 1.30s/step] Training: 41%|████▏ | 28942/70000 [10:13:41<14:55:41, 1.31s/step] Training: 41%|████▏ | 28943/70000 [10:13:43<14:39:43, 1.29s/step] Training: 41%|████▏ | 28944/70000 [10:13:44<14:25:41, 1.27s/step] Training: 41%|████▏ | 28945/70000 [10:13:45<14:11:33, 1.24s/step] Training: 41%|████▏ | 28946/70000 [10:13:46<13:58:33, 1.23s/step] Training: 41%|████▏ | 28947/70000 [10:13:48<14:00:04, 1.23s/step] Training: 41%|████▏ | 28948/70000 [10:13:49<13:51:55, 1.22s/step] Training: 41%|████▏ | 28949/70000 [10:13:50<13:49:18, 1.21s/step] Training: 41%|████▏ | 28950/70000 [10:13:51<14:15:21, 1.25s/step] Training: 41%|████▏ | 28951/70000 [10:13:53<14:30:22, 1.27s/step] Training: 41%|████▏ | 28952/70000 [10:13:54<14:42:05, 1.29s/step] Training: 41%|████▏ | 28953/70000 [10:13:55<14:22:16, 1.26s/step] Training: 41%|████▏ | 28954/70000 [10:13:56<14:07:04, 1.24s/step] Training: 41%|████▏ | 28955/70000 [10:13:57<14:00:41, 1.23s/step] Training: 41%|████▏ | 28956/70000 [10:13:59<13:53:28, 1.22s/step] Training: 41%|████▏ | 28957/70000 [10:14:00<14:27:38, 1.27s/step] Training: 41%|████▏ | 28958/70000 [10:14:01<14:49:54, 1.30s/step] Training: 41%|████▏ | 28959/70000 [10:14:03<14:54:10, 1.31s/step] Training: 41%|████▏ | 28960/70000 [10:14:04<15:00:22, 1.32s/step] Training: 41%|████▏ | 28961/70000 [10:14:05<14:35:09, 1.28s/step] Training: 41%|████▏ | 28962/70000 [10:14:06<14:16:21, 1.25s/step] Training: 41%|████▏ | 28963/70000 [10:14:08<14:33:42, 1.28s/step] Training: 41%|████▏ | 28964/70000 [10:14:09<14:16:17, 1.25s/step] Training: 41%|████▏ | 28965/70000 [10:14:10<14:33:35, 1.28s/step] Training: 41%|████▏ | 28966/70000 [10:14:12<14:45:08, 1.29s/step] Training: 41%|████▏ | 28967/70000 [10:14:13<14:32:35, 1.28s/step] Training: 41%|████▏ | 28968/70000 [10:14:14<14:24:13, 1.26s/step] Training: 41%|████▏ | 28969/70000 [10:14:15<14:09:43, 1.24s/step] Training: 41%|████▏ | 28970/70000 [10:14:17<13:59:16, 1.23s/step] Training: 41%|████▏ | 28971/70000 [10:14:18<14:22:13, 1.26s/step] Training: 41%|████▏ | 28972/70000 [10:14:19<14:07:33, 1.24s/step] Training: 41%|████▏ | 28973/70000 [10:14:20<14:25:56, 1.27s/step] Training: 41%|████▏ | 28974/70000 [10:14:22<15:05:54, 1.32s/step] Training: 41%|████▏ | 28975/70000 [10:14:23<14:46:44, 1.30s/step] Training: 41%|████▏ | 28976/70000 [10:14:24<14:31:03, 1.27s/step] Training: 41%|████▏ | 28977/70000 [10:14:26<14:15:21, 1.25s/step] Training: 41%|████▏ | 28978/70000 [10:14:27<14:03:05, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=54698 Training: 41%|████▏ | 28979/70000 [10:14:28<14:08:23, 1.24s/step] Training: 41%|████▏ | 28980/70000 [10:14:29<13:57:38, 1.23s/step] Training: 41%|████▏ | 28981/70000 [10:14:30<13:56:09, 1.22s/step] Training: 41%|████▏ | 28982/70000 [10:14:32<14:40:31, 1.29s/step] Training: 41%|████▏ | 28983/70000 [10:14:33<14:48:46, 1.30s/step] Training: 41%|████▏ | 28984/70000 [10:14:34<14:55:38, 1.31s/step] Training: 41%|████▏ | 28985/70000 [10:14:36<14:31:00, 1.27s/step] Training: 41%|████▏ | 28986/70000 [10:14:37<14:13:03, 1.25s/step] Training: 41%|████▏ | 28987/70000 [10:14:38<14:09:02, 1.24s/step] Training: 41%|████▏ | 28988/70000 [10:14:39<14:00:43, 1.23s/step] Training: 41%|████▏ | 28989/70000 [10:14:41<14:20:07, 1.26s/step] Training: 41%|████▏ | 28990/70000 [10:14:42<14:49:39, 1.30s/step] Training: 41%|████▏ | 28991/70000 [10:14:43<14:54:38, 1.31s/step] Training: 41%|████▏ | 28992/70000 [10:14:45<14:58:05, 1.31s/step] Training: 41%|████▏ | 28993/70000 [10:14:46<14:33:18, 1.28s/step] Training: 41%|████▏ | 28994/70000 [10:14:47<14:16:04, 1.25s/step] Training: 41%|████▏ | 28995/70000 [10:14:48<14:31:44, 1.28s/step] Training: 41%|████▏ | 28996/70000 [10:14:50<14:14:56, 1.25s/step] Training: 41%|████▏ | 28997/70000 [10:14:51<14:29:16, 1.27s/step] Training: 41%|████▏ | 28998/70000 [10:14:52<14:47:47, 1.30s/step] Training: 41%|████▏ | 28999/70000 [10:14:54<15:04:55, 1.32s/step] Training: 41%|████▏ | 29000/70000 [10:14:55<14:46:41, 1.30s/step]INFO 2026-03-13 06:24:47 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.58 loss:0.034 grdn:4.937 lr:1.6e-05 updt_s:1.244 data_s:0.019 Training: 41%|████▏ | 29001/70000 [10:14:56<14:25:26, 1.27s/step] Training: 41%|████▏ | 29002/70000 [10:14:57<14:09:43, 1.24s/step] Training: 41%|████▏ | 29003/70000 [10:14:59<14:26:30, 1.27s/step] Training: 41%|████▏ | 29004/70000 [10:15:00<14:11:04, 1.25s/step] Training: 41%|████▏ | 29005/70000 [10:15:01<14:29:45, 1.27s/step] Training: 41%|████▏ | 29006/70000 [10:15:02<14:16:32, 1.25s/step] Training: 41%|████▏ | 29007/70000 [10:15:04<14:36:12, 1.28s/step] Training: 41%|████▏ | 29008/70000 [10:15:05<14:19:45, 1.26s/step] Training: 41%|████▏ | 29009/70000 [10:15:06<14:06:32, 1.24s/step] Training: 41%|████▏ | 29010/70000 [10:15:07<13:56:38, 1.22s/step] Training: 41%|████▏ | 29011/70000 [10:15:08<13:58:29, 1.23s/step] Training: 41%|████▏ | 29012/70000 [10:15:10<13:51:27, 1.22s/step] Training: 41%|████▏ | 29013/70000 [10:15:11<13:49:25, 1.21s/step] Training: 41%|████▏ | 29014/70000 [10:15:12<14:13:21, 1.25s/step] Training: 41%|████▏ | 29015/70000 [10:15:14<14:46:56, 1.30s/step] Training: 41%|████▏ | 29016/70000 [10:15:15<15:00:51, 1.32s/step] Training: 41%|████▏ | 29017/70000 [10:15:16<14:34:44, 1.28s/step] Training: 41%|████▏ | 29018/70000 [10:15:17<14:15:59, 1.25s/step] Training: 41%|████▏ | 29019/70000 [10:15:19<14:08:27, 1.24s/step] Training: 41%|████▏ | 29020/70000 [10:15:20<13:59:21, 1.23s/step] Training: 41%|████▏ | 29021/70000 [10:15:21<14:21:10, 1.26s/step] Training: 41%|████▏ | 29022/70000 [10:15:22<14:37:01, 1.28s/step] Training: 41%|████▏ | 29023/70000 [10:15:24<14:53:18, 1.31s/step] Training: 41%|████▏ | 29024/70000 [10:15:25<15:00:50, 1.32s/step] Training: 41%|████▏ | 29025/70000 [10:15:26<14:34:29, 1.28s/step] Training: 41%|████▏ | 29026/70000 [10:15:28<14:15:20, 1.25s/step] Training: 41%|████▏ | 29027/70000 [10:15:29<14:31:08, 1.28s/step] Training: 41%|████▏ | 29028/70000 [10:15:30<14:13:47, 1.25s/step] Training: 41%|████▏ | 29029/70000 [10:15:31<14:30:09, 1.27s/step] Training: 41%|████▏ | 29030/70000 [10:15:33<14:41:46, 1.29s/step] Training: 41%|████▏ | 29031/70000 [10:15:34<14:56:17, 1.31s/step] Training: 41%|████▏ | 29032/70000 [10:15:35<14:41:24, 1.29s/step] Training: 41%|████▏ | 29033/70000 [10:15:37<14:20:22, 1.26s/step] Training: 41%|████▏ | 29034/70000 [10:15:38<14:05:35, 1.24s/step] Training: 41%|████▏ | 29035/70000 [10:15:39<13:56:04, 1.22s/step] Training: 41%|████▏ | 29036/70000 [10:15:40<14:16:40, 1.25s/step] Training: 41%|████▏ | 29037/70000 [10:15:41<14:12:24, 1.25s/step] Training: 41%|████▏ | 29038/70000 [10:15:43<14:05:22, 1.24s/step] Training: 41%|████▏ | 29039/70000 [10:15:44<14:22:55, 1.26s/step] Training: 41%|████▏ | 29040/70000 [10:15:45<14:42:10, 1.29s/step] Training: 41%|████▏ | 29041/70000 [10:15:47<14:18:48, 1.26s/step] Training: 41%|████▏ | 29042/70000 [10:15:48<14:04:35, 1.24s/step] Training: 41%|████▏ | 29043/70000 [10:15:49<13:55:12, 1.22s/step] Training: 41%|████▏ | 29044/70000 [10:15:50<14:14:41, 1.25s/step] Training: 41%|████▏ | 29045/70000 [10:15:51<14:01:54, 1.23s/step] Training: 41%|████▏ | 29046/70000 [10:15:53<14:42:07, 1.29s/step] Training: 41%|████▏ | 29047/70000 [10:15:54<14:49:50, 1.30s/step] Training: 41%|████▏ | 29048/70000 [10:15:56<15:05:01, 1.33s/step] Training: 41%|████▏ | 29049/70000 [10:15:57<14:37:23, 1.29s/step] Training: 42%|████▏ | 29050/70000 [10:15:58<14:17:16, 1.26s/step] Training: 42%|████▏ | 29051/70000 [10:15:59<14:03:29, 1.24s/step] Training: 42%|████▏ | 29052/70000 [10:16:00<13:53:38, 1.22s/step] Training: 42%|████▏ | 29053/70000 [10:16:02<13:46:52, 1.21s/step] Training: 42%|████▏ | 29054/70000 [10:16:03<14:11:30, 1.25s/step] Training: 42%|████▏ | 29055/70000 [10:16:04<14:28:43, 1.27s/step] Training: 42%|████▏ | 29056/70000 [10:16:06<14:39:40, 1.29s/step] Training: 42%|████▏ | 29057/70000 [10:16:07<14:19:35, 1.26s/step] Training: 42%|████▏ | 29058/70000 [10:16:08<14:05:42, 1.24s/step] Training: 42%|████▏ | 29059/70000 [10:16:09<13:55:45, 1.22s/step] Training: 42%|████▏ | 29060/70000 [10:16:10<14:14:34, 1.25s/step] Training: 42%|████▏ | 29061/70000 [10:16:12<14:09:07, 1.24s/step] Training: 42%|████▏ | 29062/70000 [10:16:13<14:28:36, 1.27s/step] Training: 42%|████▏ | 29063/70000 [10:16:14<14:47:03, 1.30s/step] Training: 42%|████▏ | 29064/70000 [10:16:16<14:37:28, 1.29s/step] Training: 42%|████▏ | 29065/70000 [10:16:17<14:49:19, 1.30s/step] Training: 42%|████▏ | 29066/70000 [10:16:18<14:24:36, 1.27s/step] Training: 42%|████▏ | 29067/70000 [10:16:19<14:09:01, 1.24s/step] Training: 42%|████▏ | 29068/70000 [10:16:21<14:30:09, 1.28s/step] Training: 42%|████▏ | 29069/70000 [10:16:22<14:17:15, 1.26s/step] Training: 42%|████▏ | 29070/70000 [10:16:23<14:07:10, 1.24s/step] Training: 42%|████▏ | 29071/70000 [10:16:24<14:25:14, 1.27s/step] Training: 42%|████▏ | 29072/70000 [10:16:26<14:12:17, 1.25s/step] Training: 42%|████▏ | 29073/70000 [10:16:27<14:21:31, 1.26s/step] Training: 42%|████▏ | 29074/70000 [10:16:28<14:04:53, 1.24s/step] Training: 42%|████▏ | 29075/70000 [10:16:29<13:55:04, 1.22s/step] Training: 42%|████▏ | 29076/70000 [10:16:30<13:54:34, 1.22s/step] Training: 42%|████▏ | 29077/70000 [10:16:32<14:16:52, 1.26s/step] Training: 42%|████▏ | 29078/70000 [10:16:33<14:30:54, 1.28s/step] Training: 42%|████▏ | 29079/70000 [10:16:34<14:42:31, 1.29s/step] Training: 42%|████▏ | 29080/70000 [10:16:36<14:22:43, 1.26s/step] Training: 42%|████▏ | 29081/70000 [10:16:37<15:22:49, 1.35s/step] Training: 42%|████▏ | 29082/70000 [10:16:38<14:47:49, 1.30s/step] Training: 42%|████▏ | 29083/70000 [10:16:40<14:25:38, 1.27s/step] Training: 42%|████▏ | 29084/70000 [10:16:41<14:41:22, 1.29s/step] Training: 42%|████▏ | 29085/70000 [10:16:42<14:50:10, 1.31s/step] Training: 42%|████▏ | 29086/70000 [10:16:44<14:54:13, 1.31s/step] Training: 42%|████▏ | 29087/70000 [10:16:45<14:57:01, 1.32s/step] Training: 42%|████▏ | 29088/70000 [10:16:46<14:30:18, 1.28s/step] Training: 42%|████▏ | 29089/70000 [10:16:47<14:47:35, 1.30s/step] Training: 42%|████▏ | 29090/70000 [10:16:49<14:21:51, 1.26s/step] Training: 42%|████▏ | 29091/70000 [10:16:50<14:07:01, 1.24s/step] Training: 42%|████▏ | 29092/70000 [10:16:51<14:24:06, 1.27s/step] Training: 42%|████▏ | 29093/70000 [10:16:52<14:15:17, 1.25s/step] Training: 42%|████▏ | 29094/70000 [10:16:54<14:30:56, 1.28s/step] Training: 42%|████▏ | 29095/70000 [10:16:55<14:53:09, 1.31s/step] Training: 42%|████▏ | 29096/70000 [10:16:56<14:36:58, 1.29s/step] Training: 42%|████▏ | 29097/70000 [10:16:58<14:18:04, 1.26s/step] Training: 42%|████▏ | 29098/70000 [10:16:59<14:36:57, 1.29s/step] Training: 42%|████▏ | 29099/70000 [10:17:00<14:14:59, 1.25s/step] Training: 42%|████▏ | 29100/70000 [10:17:01<14:34:20, 1.28s/step]INFO 2026-03-13 06:26:54 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.67 loss:0.031 grdn:4.641 lr:1.6e-05 updt_s:1.244 data_s:0.019 Training: 42%|████▏ | 29101/70000 [10:17:03<14:19:47, 1.26s/step] Training: 42%|████▏ | 29102/70000 [10:17:04<14:09:33, 1.25s/step] Training: 42%|████▏ | 29103/70000 [10:17:05<14:30:44, 1.28s/step] Training: 42%|████▏ | 29104/70000 [10:17:06<14:17:45, 1.26s/step] Training: 42%|████▏ | 29105/70000 [10:17:08<14:04:05, 1.24s/step] Training: 42%|████▏ | 29106/70000 [10:17:09<14:25:55, 1.27s/step] Training: 42%|████▏ | 29107/70000 [10:17:10<14:07:52, 1.24s/step] Training: 42%|████▏ | 29108/70000 [10:17:11<14:05:08, 1.24s/step] Training: 42%|████▏ | 29109/70000 [10:17:13<14:25:25, 1.27s/step] Training: 42%|████▏ | 29110/70000 [10:17:14<14:38:56, 1.29s/step] Training: 42%|████▏ | 29111/70000 [10:17:15<14:49:26, 1.31s/step] Training: 42%|████▏ | 29112/70000 [10:17:17<14:55:38, 1.31s/step] Training: 42%|████▏ | 29113/70000 [10:17:18<14:31:09, 1.28s/step] Training: 42%|████▏ | 29114/70000 [10:17:19<14:34:57, 1.28s/step] Training: 42%|████▏ | 29115/70000 [10:17:20<14:14:24, 1.25s/step] Training: 42%|████▏ | 29116/70000 [10:17:22<14:33:36, 1.28s/step] Training: 42%|████▏ | 29117/70000 [10:17:23<14:44:36, 1.30s/step] Training: 42%|████▏ | 29118/70000 [10:17:24<14:49:40, 1.31s/step] Training: 42%|████▏ | 29119/70000 [10:17:26<14:57:10, 1.32s/step] Training: 42%|████▏ | 29120/70000 [10:17:27<15:01:24, 1.32s/step] Training: 42%|████▏ | 29121/70000 [10:17:28<14:34:26, 1.28s/step] Training: 42%|████▏ | 29122/70000 [10:17:30<14:49:47, 1.31s/step] Training: 42%|████▏ | 29123/70000 [10:17:31<14:23:19, 1.27s/step] Training: 42%|████▏ | 29124/70000 [10:17:32<14:39:05, 1.29s/step] Training: 42%|████▏ | 29125/70000 [10:17:33<14:25:47, 1.27s/step] Training: 42%|████▏ | 29126/70000 [10:17:35<14:36:31, 1.29s/step] Training: 42%|████▏ | 29127/70000 [10:17:36<14:54:20, 1.31s/step] Training: 42%|████▏ | 29128/70000 [10:17:37<14:36:22, 1.29s/step] Training: 42%|████▏ | 29129/70000 [10:17:38<14:16:02, 1.26s/step] Training: 42%|████▏ | 29130/70000 [10:17:40<14:13:31, 1.25s/step] Training: 42%|████▏ | 29131/70000 [10:17:41<13:58:45, 1.23s/step] Training: 42%|████▏ | 29132/70000 [10:17:42<14:18:34, 1.26s/step] Training: 42%|████▏ | 29133/70000 [10:17:43<14:13:47, 1.25s/step] Training: 42%|████▏ | 29134/70000 [10:17:45<14:05:21, 1.24s/step] Training: 42%|████▏ | 29135/70000 [10:17:46<14:24:38, 1.27s/step] Training: 42%|████▏ | 29136/70000 [10:17:47<14:11:05, 1.25s/step] Training: 42%|████▏ | 29137/70000 [10:17:48<13:59:25, 1.23s/step] Training: 42%|████▏ | 29138/70000 [10:17:50<13:50:12, 1.22s/step] Training: 42%|████▏ | 29139/70000 [10:17:51<14:14:06, 1.25s/step] Training: 42%|████▏ | 29140/70000 [10:17:52<14:06:48, 1.24s/step] Training: 42%|████▏ | 29141/70000 [10:17:53<13:56:28, 1.23s/step] Training: 42%|████▏ | 29142/70000 [10:17:55<14:37:41, 1.29s/step] Training: 42%|████▏ | 29143/70000 [10:17:56<14:46:57, 1.30s/step] Training: 42%|████▏ | 29144/70000 [10:17:57<14:52:49, 1.31s/step] Training: 42%|████▏ | 29145/70000 [10:17:59<14:28:11, 1.28s/step] Training: 42%|████▏ | 29146/70000 [10:18:00<14:10:24, 1.25s/step] Training: 42%|████▏ | 29147/70000 [10:18:01<14:21:18, 1.26s/step] Training: 42%|████▏ | 29148/70000 [10:18:02<14:32:51, 1.28s/step] Training: 42%|████▏ | 29149/70000 [10:18:04<14:41:43, 1.30s/step] Training: 42%|████▏ | 29150/70000 [10:18:05<14:47:31, 1.30s/step] Training: 42%|████▏ | 29151/70000 [10:18:06<14:52:44, 1.31s/step] Training: 42%|████▏ | 29152/70000 [10:18:08<14:55:28, 1.32s/step] Training: 42%|████▏ | 29153/70000 [10:18:09<14:29:28, 1.28s/step] Training: 42%|████▏ | 29154/70000 [10:18:10<14:12:23, 1.25s/step] Training: 42%|████▏ | 29155/70000 [10:18:12<14:36:54, 1.29s/step] Training: 42%|████▏ | 29156/70000 [10:18:13<14:44:18, 1.30s/step] Training: 42%|████▏ | 29157/70000 [10:18:14<14:50:26, 1.31s/step] Training: 42%|████▏ | 29158/70000 [10:18:16<14:58:29, 1.32s/step] Training: 42%|████▏ | 29159/70000 [10:18:17<15:09:36, 1.34s/step] Training: 42%|████▏ | 29160/70000 [10:18:18<14:47:13, 1.30s/step] Training: 42%|████▏ | 29161/70000 [10:18:19<14:24:17, 1.27s/step] Training: 42%|████▏ | 29162/70000 [10:18:20<14:08:02, 1.25s/step] Training: 42%|████▏ | 29163/70000 [10:18:22<13:55:27, 1.23s/step] Training: 42%|████▏ | 29164/70000 [10:18:23<14:19:09, 1.26s/step] Training: 42%|████▏ | 29165/70000 [10:18:24<14:12:59, 1.25s/step] Training: 42%|████▏ | 29166/70000 [10:18:25<14:05:59, 1.24s/step] Training: 42%|████▏ | 29167/70000 [10:18:27<14:24:41, 1.27s/step] Training: 42%|████▏ | 29168/70000 [10:18:28<14:12:28, 1.25s/step] Training: 42%|████▏ | 29169/70000 [10:18:29<13:59:30, 1.23s/step] Training: 42%|████▏ | 29170/70000 [10:18:30<13:50:56, 1.22s/step] Training: 42%|████▏ | 29171/70000 [10:18:32<13:44:16, 1.21s/step] Training: 42%|████▏ | 29172/70000 [10:18:33<14:13:24, 1.25s/step] Training: 42%|████▏ | 29173/70000 [10:18:34<13:58:18, 1.23s/step] Training: 42%|████▏ | 29174/70000 [10:18:36<14:41:22, 1.30s/step] Training: 42%|████▏ | 29175/70000 [10:18:37<14:59:14, 1.32s/step] Training: 42%|████▏ | 29176/70000 [10:18:38<14:59:46, 1.32s/step] Training: 42%|████▏ | 29177/70000 [10:18:39<14:33:01, 1.28s/step] Training: 42%|████▏ | 29178/70000 [10:18:41<14:14:49, 1.26s/step] Training: 42%|████▏ | 29179/70000 [10:18:42<14:02:04, 1.24s/step] Training: 42%|████▏ | 29180/70000 [10:18:43<14:20:19, 1.26s/step] Training: 42%|████▏ | 29181/70000 [10:18:44<14:05:21, 1.24s/step] Training: 42%|████▏ | 29182/70000 [10:18:46<14:21:34, 1.27s/step] Training: 42%|████▏ | 29183/70000 [10:18:47<14:35:39, 1.29s/step] Training: 42%|████▏ | 29184/70000 [10:18:48<14:45:14, 1.30s/step] Training: 42%|████▏ | 29185/70000 [10:18:50<14:22:26, 1.27s/step] Training: 42%|████▏ | 29186/70000 [10:18:51<14:06:13, 1.24s/step] Training: 42%|████▏ | 29187/70000 [10:18:52<13:55:24, 1.23s/step] Training: 42%|████▏ | 29188/70000 [10:18:53<14:21:02, 1.27s/step] Training: 42%|████▏ | 29189/70000 [10:18:55<14:13:24, 1.25s/step] Training: 42%|████▏ | 29190/70000 [10:18:56<14:27:47, 1.28s/step] Training: 42%|████▏ | 29191/70000 [10:18:57<14:48:35, 1.31s/step] Training: 42%|████▏ | 29192/70000 [10:18:58<14:33:38, 1.28s/step] Training: 42%|████▏ | 29193/70000 [10:19:00<14:13:51, 1.26s/step] Training: 42%|████▏ | 29194/70000 [10:19:01<14:01:21, 1.24s/step] Training: 42%|████▏ | 29195/70000 [10:19:02<13:51:08, 1.22s/step] Training: 42%|████▏ | 29196/70000 [10:19:03<14:07:24, 1.25s/step] Training: 42%|████▏ | 29197/70000 [10:19:05<13:58:31, 1.23s/step] Training: 42%|████▏ | 29198/70000 [10:19:06<13:54:15, 1.23s/step] Training: 42%|████▏ | 29199/70000 [10:19:07<14:13:52, 1.26s/step] Training: 42%|████▏ | 29200/70000 [10:19:08<14:03:41, 1.24s/step]INFO 2026-03-13 06:29:00 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.75 loss:0.035 grdn:4.271 lr:1.6e-05 updt_s:1.247 data_s:0.019 Training: 42%|████▏ | 29201/70000 [10:19:09<13:55:19, 1.23s/step] Training: 42%|████▏ | 29202/70000 [10:19:11<13:47:32, 1.22s/step] Training: 42%|████▏ | 29203/70000 [10:19:12<13:40:50, 1.21s/step] Training: 42%|████▏ | 29204/70000 [10:19:13<13:44:44, 1.21s/step] Training: 42%|████▏ | 29205/70000 [10:19:15<14:30:35, 1.28s/step] Training: 42%|████▏ | 29206/70000 [10:19:16<14:39:09, 1.29s/step] Training: 42%|████▏ | 29207/70000 [10:19:17<14:56:59, 1.32s/step] Training: 42%|████▏ | 29208/70000 [10:19:19<14:58:58, 1.32s/step] Training: 42%|████▏ | 29209/70000 [10:19:20<14:31:57, 1.28s/step] Training: 42%|████▏ | 29210/70000 [10:19:21<14:12:41, 1.25s/step] Training: 42%|████▏ | 29211/70000 [10:19:22<13:59:22, 1.23s/step] Training: 42%|████▏ | 29212/70000 [10:19:23<14:19:37, 1.26s/step] Training: 42%|████▏ | 29213/70000 [10:19:25<14:49:22, 1.31s/step] Training: 42%|████▏ | 29214/70000 [10:19:26<14:53:57, 1.32s/step] Training: 42%|████▏ | 29215/70000 [10:19:28<14:55:28, 1.32s/step] Training: 42%|████▏ | 29216/70000 [10:19:29<14:57:47, 1.32s/step] Training: 42%|████▏ | 29217/70000 [10:19:30<14:31:36, 1.28s/step] Training: 42%|████▏ | 29218/70000 [10:19:31<14:13:12, 1.26s/step] Training: 42%|████▏ | 29219/70000 [10:19:32<13:58:55, 1.23s/step] Training: 42%|████▏ | 29220/70000 [10:19:34<14:18:30, 1.26s/step] Training: 42%|████▏ | 29221/70000 [10:19:35<14:12:42, 1.25s/step] Training: 42%|████▏ | 29222/70000 [10:19:36<14:49:08, 1.31s/step] Training: 42%|████▏ | 29223/70000 [10:19:38<15:01:32, 1.33s/step] Training: 42%|████▏ | 29224/70000 [10:19:39<14:42:09, 1.30s/step] Training: 42%|████▏ | 29225/70000 [10:19:40<14:19:36, 1.26s/step] Training: 42%|████▏ | 29226/70000 [10:19:41<14:04:33, 1.24s/step] Training: 42%|████▏ | 29227/70000 [10:19:43<13:53:34, 1.23s/step] Training: 42%|████▏ | 29228/70000 [10:19:44<13:53:29, 1.23s/step] Training: 42%|████▏ | 29229/70000 [10:19:45<14:20:14, 1.27s/step] Training: 42%|████▏ | 29230/70000 [10:19:46<14:05:51, 1.24s/step] Training: 42%|████▏ | 29231/70000 [10:19:48<14:24:22, 1.27s/step] Training: 42%|████▏ | 29232/70000 [10:19:49<14:11:36, 1.25s/step] Training: 42%|████▏ | 29233/70000 [10:19:50<13:58:13, 1.23s/step] Training: 42%|████▏ | 29234/70000 [10:19:51<13:48:39, 1.22s/step] Training: 42%|████▏ | 29235/70000 [10:19:52<13:42:46, 1.21s/step] Training: 42%|████▏ | 29236/70000 [10:19:54<13:41:42, 1.21s/step] Training: 42%|████▏ | 29237/70000 [10:19:55<14:06:19, 1.25s/step] Training: 42%|████▏ | 29238/70000 [10:19:56<14:45:35, 1.30s/step] Training: 42%|████▏ | 29239/70000 [10:19:58<14:58:08, 1.32s/step] Training: 42%|████▏ | 29240/70000 [10:19:59<14:59:33, 1.32s/step] Training: 42%|████▏ | 29241/70000 [10:20:00<14:32:52, 1.28s/step] Training: 42%|████▏ | 29242/70000 [10:20:02<14:13:18, 1.26s/step] Training: 42%|████▏ | 29243/70000 [10:20:03<13:59:50, 1.24s/step] Training: 42%|████▏ | 29244/70000 [10:20:04<14:18:08, 1.26s/step] Training: 42%|████▏ | 29245/70000 [10:20:05<14:30:48, 1.28s/step] Training: 42%|████▏ | 29246/70000 [10:20:07<15:01:42, 1.33s/step] Training: 42%|████▏ | 29247/70000 [10:20:08<15:04:06, 1.33s/step] Training: 42%|████▏ | 29248/70000 [10:20:09<15:03:21, 1.33s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=17090 Training: 42%|████▏ | 29249/70000 [10:20:11<14:38:38, 1.29s/step] Training: 42%|████▏ | 29250/70000 [10:20:12<14:22:48, 1.27s/step] Training: 42%|████▏ | 29251/70000 [10:20:13<14:06:27, 1.25s/step] Training: 42%|████▏ | 29252/70000 [10:20:14<14:22:28, 1.27s/step] Training: 42%|████▏ | 29253/70000 [10:20:16<14:14:57, 1.26s/step] Training: 42%|████▏ | 29254/70000 [10:20:17<14:28:56, 1.28s/step] Training: 42%|████▏ | 29255/70000 [10:20:18<14:49:20, 1.31s/step] Training: 42%|████▏ | 29256/70000 [10:20:20<14:34:42, 1.29s/step] Training: 42%|████▏ | 29257/70000 [10:20:21<14:14:29, 1.26s/step] Training: 42%|████▏ | 29258/70000 [10:20:22<14:00:30, 1.24s/step] Training: 42%|████▏ | 29259/70000 [10:20:23<13:50:58, 1.22s/step] Training: 42%|████▏ | 29260/70000 [10:20:24<13:50:39, 1.22s/step] Training: 42%|████▏ | 29261/70000 [10:20:26<13:48:15, 1.22s/step] Training: 42%|████▏ | 29262/70000 [10:20:27<13:56:55, 1.23s/step] Training: 42%|████▏ | 29263/70000 [10:20:28<14:16:49, 1.26s/step] Training: 42%|████▏ | 29264/70000 [10:20:29<14:05:53, 1.25s/step] Training: 42%|████▏ | 29265/70000 [10:20:31<13:53:49, 1.23s/step] Training: 42%|████▏ | 29266/70000 [10:20:32<13:45:42, 1.22s/step] Training: 42%|████▏ | 29267/70000 [10:20:33<13:41:07, 1.21s/step] Training: 42%|████▏ | 29268/70000 [10:20:34<13:41:51, 1.21s/step] Training: 42%|████▏ | 29269/70000 [10:20:35<14:06:11, 1.25s/step] Training: 42%|████▏ | 29270/70000 [10:20:37<14:22:48, 1.27s/step] Training: 42%|████▏ | 29271/70000 [10:20:38<14:43:31, 1.30s/step] Training: 42%|████▏ | 29272/70000 [10:20:40<14:50:00, 1.31s/step] Training: 42%|████▏ | 29273/70000 [10:20:41<14:26:46, 1.28s/step] Training: 42%|████▏ | 29274/70000 [10:20:42<14:07:31, 1.25s/step] Training: 42%|████▏ | 29275/70000 [10:20:43<13:55:47, 1.23s/step] Training: 42%|████▏ | 29276/70000 [10:20:44<13:46:56, 1.22s/step] Training: 42%|████▏ | 29277/70000 [10:20:46<14:33:58, 1.29s/step] Training: 42%|████▏ | 29278/70000 [10:20:47<14:42:53, 1.30s/step] Training: 42%|████▏ | 29279/70000 [10:20:49<15:12:20, 1.34s/step] Training: 42%|████▏ | 29280/70000 [10:20:50<15:12:07, 1.34s/step] Training: 42%|████▏ | 29281/70000 [10:20:51<14:40:51, 1.30s/step] Training: 42%|████▏ | 29282/70000 [10:20:52<14:19:19, 1.27s/step] Training: 42%|████▏ | 29283/70000 [10:20:53<14:02:51, 1.24s/step] Training: 42%|████▏ | 29284/70000 [10:20:55<13:52:17, 1.23s/step] Training: 42%|████▏ | 29285/70000 [10:20:56<13:57:13, 1.23s/step] Training: 42%|████▏ | 29286/70000 [10:20:57<14:16:48, 1.26s/step] Training: 42%|████▏ | 29287/70000 [10:20:59<14:48:11, 1.31s/step] Training: 42%|████▏ | 29288/70000 [10:21:00<14:35:09, 1.29s/step] Training: 42%|████▏ | 29289/70000 [10:21:01<14:14:19, 1.26s/step] Training: 42%|████▏ | 29290/70000 [10:21:02<13:59:36, 1.24s/step] Training: 42%|████▏ | 29291/70000 [10:21:03<13:50:15, 1.22s/step] Training: 42%|████▏ | 29292/70000 [10:21:05<13:43:24, 1.21s/step] Training: 42%|████▏ | 29293/70000 [10:21:06<13:42:48, 1.21s/step] Training: 42%|████▏ | 29294/70000 [10:21:07<13:42:22, 1.21s/step] Training: 42%|████▏ | 29295/70000 [10:21:08<14:11:15, 1.25s/step] Training: 42%|████▏ | 29296/70000 [10:21:10<14:00:38, 1.24s/step] Training: 42%|████▏ | 29297/70000 [10:21:11<13:50:45, 1.22s/step] Training: 42%|████▏ | 29298/70000 [10:21:12<13:44:31, 1.22s/step] Training: 42%|████▏ | 29299/70000 [10:21:13<13:40:14, 1.21s/step] Training: 42%|████▏ | 29300/70000 [10:21:14<13:36:26, 1.20s/step]INFO 2026-03-13 06:31:06 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.83 loss:0.032 grdn:4.865 lr:1.6e-05 updt_s:1.239 data_s:0.019 Training: 42%|████▏ | 29301/70000 [10:21:16<14:03:32, 1.24s/step] Training: 42%|████▏ | 29302/70000 [10:21:17<14:19:48, 1.27s/step] Training: 42%|████▏ | 29303/70000 [10:21:18<14:46:33, 1.31s/step] Training: 42%|████▏ | 29304/70000 [10:21:20<14:50:12, 1.31s/step] Training: 42%|████▏ | 29305/70000 [10:21:21<14:25:43, 1.28s/step] Training: 42%|████▏ | 29306/70000 [10:21:22<14:08:02, 1.25s/step] Training: 42%|████▏ | 29307/70000 [10:21:23<13:55:46, 1.23s/step] Training: 42%|████▏ | 29308/70000 [10:21:25<13:46:54, 1.22s/step] Training: 42%|████▏ | 29309/70000 [10:21:26<14:10:46, 1.25s/step] Training: 42%|████▏ | 29310/70000 [10:21:27<14:25:39, 1.28s/step] Training: 42%|████▏ | 29311/70000 [10:21:28<14:36:15, 1.29s/step] Training: 42%|████▏ | 29312/70000 [10:21:30<15:06:56, 1.34s/step] Training: 42%|████▏ | 29313/70000 [10:21:31<14:36:39, 1.29s/step] Training: 42%|████▏ | 29314/70000 [10:21:32<14:15:12, 1.26s/step] Training: 42%|████▏ | 29315/70000 [10:21:34<14:00:54, 1.24s/step] Training: 42%|████▏ | 29316/70000 [10:21:35<13:50:12, 1.22s/step] Training: 42%|████▏ | 29317/70000 [10:21:36<14:20:15, 1.27s/step] Training: 42%|████▏ | 29318/70000 [10:21:37<14:32:29, 1.29s/step] Training: 42%|████▏ | 29319/70000 [10:21:39<14:52:56, 1.32s/step] Training: 42%|████▏ | 29320/70000 [10:21:40<14:55:11, 1.32s/step] Training: 42%|████▏ | 29321/70000 [10:21:41<14:26:54, 1.28s/step] Training: 42%|████▏ | 29322/70000 [10:21:42<14:09:03, 1.25s/step] Training: 42%|████▏ | 29323/70000 [10:21:44<13:55:46, 1.23s/step] Training: 42%|████▏ | 29324/70000 [10:21:45<13:47:08, 1.22s/step] Training: 42%|████▏ | 29325/70000 [10:21:46<13:47:01, 1.22s/step] Training: 42%|████▏ | 29326/70000 [10:21:47<13:46:04, 1.22s/step] Training: 42%|████▏ | 29327/70000 [10:21:49<14:06:53, 1.25s/step] Training: 42%|████▏ | 29328/70000 [10:21:50<13:59:39, 1.24s/step] Training: 42%|████▏ | 29329/70000 [10:21:51<13:50:27, 1.23s/step] Training: 42%|████▏ | 29330/70000 [10:21:52<13:44:00, 1.22s/step] Training: 42%|████▏ | 29331/70000 [10:21:53<13:37:43, 1.21s/step] Training: 42%|████▏ | 29332/70000 [10:21:55<13:34:26, 1.20s/step] Training: 42%|████▏ | 29333/70000 [10:21:56<13:59:23, 1.24s/step] Training: 42%|████▏ | 29334/70000 [10:21:57<14:16:12, 1.26s/step] Training: 42%|████▏ | 29335/70000 [10:21:59<14:37:57, 1.30s/step] Training: 42%|████▏ | 29336/70000 [10:22:00<14:55:56, 1.32s/step] Training: 42%|████▏ | 29337/70000 [10:22:01<14:28:45, 1.28s/step] Training: 42%|████▏ | 29338/70000 [10:22:02<14:09:39, 1.25s/step] Training: 42%|████▏ | 29339/70000 [10:22:04<13:57:28, 1.24s/step] Training: 42%|████▏ | 29340/70000 [10:22:05<13:48:04, 1.22s/step] Training: 42%|████▏ | 29341/70000 [10:22:06<14:12:29, 1.26s/step] Training: 42%|████▏ | 29342/70000 [10:22:07<14:27:28, 1.28s/step] Training: 42%|████▏ | 29343/70000 [10:22:09<14:36:24, 1.29s/step] Training: 42%|████▏ | 29344/70000 [10:22:10<15:09:19, 1.34s/step] Training: 42%|████▏ | 29345/70000 [10:22:11<14:38:49, 1.30s/step] Training: 42%|████▏ | 29346/70000 [10:22:13<14:17:18, 1.27s/step] Training: 42%|████▏ | 29347/70000 [10:22:14<14:01:52, 1.24s/step] Training: 42%|████▏ | 29348/70000 [10:22:15<13:50:49, 1.23s/step] Training: 42%|████▏ | 29349/70000 [10:22:16<14:17:35, 1.27s/step] Training: 42%|████▏ | 29350/70000 [10:22:18<14:29:55, 1.28s/step] Training: 42%|████▏ | 29351/70000 [10:22:19<14:38:36, 1.30s/step] Training: 42%|████▏ | 29352/70000 [10:22:20<14:39:57, 1.30s/step] Training: 42%|████▏ | 29353/70000 [10:22:22<14:52:16, 1.32s/step] Training: 42%|████▏ | 29354/70000 [10:22:23<14:23:54, 1.28s/step] Training: 42%|████▏ | 29355/70000 [10:22:24<14:06:59, 1.25s/step] Training: 42%|████▏ | 29356/70000 [10:22:25<13:52:47, 1.23s/step] Training: 42%|████▏ | 29357/70000 [10:22:26<13:51:01, 1.23s/step] Training: 42%|████▏ | 29358/70000 [10:22:28<13:47:59, 1.22s/step] Training: 42%|████▏ | 29359/70000 [10:22:29<14:11:25, 1.26s/step] Training: 42%|████▏ | 29360/70000 [10:22:30<14:07:36, 1.25s/step] Training: 42%|████▏ | 29361/70000 [10:22:31<14:15:09, 1.26s/step] Training: 42%|████▏ | 29362/70000 [10:22:33<13:58:55, 1.24s/step] Training: 42%|████▏ | 29363/70000 [10:22:34<13:48:03, 1.22s/step] Training: 42%|████▏ | 29364/70000 [10:22:35<13:40:55, 1.21s/step] Training: 42%|████▏ | 29365/70000 [10:22:36<14:07:15, 1.25s/step] Training: 42%|████▏ | 29366/70000 [10:22:38<14:23:02, 1.27s/step] Training: 42%|████▏ | 29367/70000 [10:22:39<14:37:51, 1.30s/step] Training: 42%|████▏ | 29368/70000 [10:22:40<14:38:37, 1.30s/step] Training: 42%|████▏ | 29369/70000 [10:22:42<15:16:48, 1.35s/step] Training: 42%|████▏ | 29370/70000 [10:22:43<14:41:05, 1.30s/step] Training: 42%|████▏ | 29371/70000 [10:22:44<14:18:18, 1.27s/step] Training: 42%|████▏ | 29372/70000 [10:22:45<14:01:38, 1.24s/step] Training: 42%|████▏ | 29373/70000 [10:22:47<14:20:47, 1.27s/step] Training: 42%|████▏ | 29374/70000 [10:22:48<14:30:44, 1.29s/step] Training: 42%|████▏ | 29375/70000 [10:22:49<14:39:27, 1.30s/step] Training: 42%|████▏ | 29376/70000 [10:22:51<14:46:26, 1.31s/step] Training: 42%|████▏ | 29377/70000 [10:22:52<14:55:43, 1.32s/step] Training: 42%|████▏ | 29378/70000 [10:22:53<14:26:41, 1.28s/step] Training: 42%|████▏ | 29379/70000 [10:22:54<14:08:50, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=73788 Training: 42%|████▏ | 29380/70000 [10:22:56<13:55:20, 1.23s/step] Training: 42%|████▏ | 29381/70000 [10:22:57<14:21:02, 1.27s/step] Training: 42%|████▏ | 29382/70000 [10:22:58<14:31:22, 1.29s/step] Training: 42%|████▏ | 29383/70000 [10:23:00<14:38:31, 1.30s/step] Training: 42%|████▏ | 29384/70000 [10:23:01<14:26:33, 1.28s/step] Training: 42%|████▏ | 29385/70000 [10:23:02<14:07:36, 1.25s/step] Training: 42%|████▏ | 29386/70000 [10:23:03<14:27:27, 1.28s/step] Training: 42%|████▏ | 29387/70000 [10:23:05<14:06:12, 1.25s/step] Training: 42%|████▏ | 29388/70000 [10:23:06<13:53:26, 1.23s/step] Training: 42%|████▏ | 29389/70000 [10:23:07<13:50:45, 1.23s/step] Training: 42%|████▏ | 29390/70000 [10:23:08<13:46:29, 1.22s/step] Training: 42%|████▏ | 29391/70000 [10:23:10<14:06:48, 1.25s/step] Training: 42%|████▏ | 29392/70000 [10:23:11<14:21:06, 1.27s/step] Training: 42%|████▏ | 29393/70000 [10:23:12<14:03:53, 1.25s/step] Training: 42%|████▏ | 29394/70000 [10:23:13<14:22:26, 1.27s/step] Training: 42%|████▏ | 29395/70000 [10:23:15<14:04:01, 1.25s/step] Training: 42%|████▏ | 29396/70000 [10:23:16<13:52:36, 1.23s/step] Training: 42%|████▏ | 29397/70000 [10:23:17<14:12:55, 1.26s/step] Training: 42%|████▏ | 29398/70000 [10:23:18<14:27:15, 1.28s/step] Training: 42%|████▏ | 29399/70000 [10:23:20<14:47:57, 1.31s/step] Training: 42%|████▏ | 29400/70000 [10:23:21<14:50:55, 1.32s/step]INFO 2026-03-13 06:33:13 ot_train.py:435 step:29K smpl:2M ep:6K epch:24.92 loss:0.032 grdn:4.594 lr:1.6e-05 updt_s:1.247 data_s:0.019 Training: 42%|████▏ | 29401/70000 [10:23:22<14:26:01, 1.28s/step] Training: 42%|████▏ | 29402/70000 [10:23:24<14:36:28, 1.30s/step] Training: 42%|████▏ | 29403/70000 [10:23:25<14:12:37, 1.26s/step] Training: 42%|████▏ | 29404/70000 [10:23:26<13:57:36, 1.24s/step] Training: 42%|████▏ | 29405/70000 [10:23:27<14:16:06, 1.27s/step] Training: 42%|████▏ | 29406/70000 [10:23:29<14:29:13, 1.28s/step] Training: 42%|████▏ | 29407/70000 [10:23:30<14:37:34, 1.30s/step] Training: 42%|████▏ | 29408/70000 [10:23:31<14:44:59, 1.31s/step] Training: 42%|████▏ | 29409/70000 [10:23:33<14:21:17, 1.27s/step] Training: 42%|████▏ | 29410/70000 [10:23:34<14:35:43, 1.29s/step] Training: 42%|████▏ | 29411/70000 [10:23:35<14:12:16, 1.26s/step] Training: 42%|████▏ | 29412/70000 [10:23:36<13:57:32, 1.24s/step] Training: 42%|████▏ | 29413/70000 [10:23:38<14:24:03, 1.28s/step] Training: 42%|████▏ | 29414/70000 [10:23:39<14:33:05, 1.29s/step] Training: 42%|████▏ | 29415/70000 [10:23:40<14:19:50, 1.27s/step] Training: 42%|████▏ | 29416/70000 [10:23:42<14:36:30, 1.30s/step] Training: 42%|████▏ | 29417/70000 [10:23:43<14:14:19, 1.26s/step] Training: 42%|████▏ | 29418/70000 [10:23:44<14:10:28, 1.26s/step] Training: 42%|████▏ | 29419/70000 [10:23:45<13:54:46, 1.23s/step] Training: 42%|████▏ | 29420/70000 [10:23:46<13:46:10, 1.22s/step] Training: 42%|████▏ | 29421/70000 [10:23:48<13:45:48, 1.22s/step] Training: 42%|████▏ | 29422/70000 [10:23:49<13:42:47, 1.22s/step] Training: 42%|████▏ | 29423/70000 [10:23:50<14:04:40, 1.25s/step] Training: 42%|████▏ | 29424/70000 [10:23:51<14:19:46, 1.27s/step] Training: 42%|████▏ | 29425/70000 [10:23:53<14:02:57, 1.25s/step] Training: 42%|████▏ | 29426/70000 [10:23:54<13:51:36, 1.23s/step] Training: 42%|████▏ | 29427/70000 [10:23:55<14:15:48, 1.27s/step] Training: 42%|████▏ | 29428/70000 [10:23:56<13:59:26, 1.24s/step] Training: 42%|████▏ | 29429/70000 [10:23:58<14:17:57, 1.27s/step] Training: 42%|████▏ | 29430/70000 [10:23:59<14:29:47, 1.29s/step] Training: 42%|████▏ | 29431/70000 [10:24:00<14:43:04, 1.31s/step] Training: 42%|████▏ | 29432/70000 [10:24:02<14:46:06, 1.31s/step] Training: 42%|████▏ | 29433/70000 [10:24:03<14:21:43, 1.27s/step] Training: 42%|████▏ | 29434/70000 [10:24:04<14:04:52, 1.25s/step] Training: 42%|████▏ | 29435/70000 [10:24:05<14:13:20, 1.26s/step] Training: 42%|████▏ | 29436/70000 [10:24:06<13:57:52, 1.24s/step] Training: 42%|████▏ | 29437/70000 [10:24:08<14:16:21, 1.27s/step] Training: 42%|████▏ | 29438/70000 [10:24:09<14:28:12, 1.28s/step] Training: 42%|████▏ | 29439/70000 [10:24:10<14:38:10, 1.30s/step] Training: 42%|████▏ | 29440/70000 [10:24:12<14:43:07, 1.31s/step] Training: 42%|████▏ | 29441/70000 [10:24:13<14:18:52, 1.27s/step] Training: 42%|████▏ | 29442/70000 [10:24:14<14:02:14, 1.25s/step] Training: 42%|████▏ | 29443/70000 [10:24:16<14:23:39, 1.28s/step] Training: 42%|████▏ | 29444/70000 [10:24:17<14:03:56, 1.25s/step] Training: 42%|████▏ | 29445/70000 [10:24:18<14:25:08, 1.28s/step] Training: 42%|████▏ | 29446/70000 [10:24:19<14:35:25, 1.30s/step] Training: 42%|████▏ | 29447/70000 [10:24:21<14:21:46, 1.28s/step] Training: 42%|████▏ | 29448/70000 [10:24:22<14:35:36, 1.30s/step] Training: 42%|████▏ | 29449/70000 [10:24:23<14:13:30, 1.26s/step] Training: 42%|████▏ | 29450/70000 [10:24:24<13:58:03, 1.24s/step] Training: 42%|████▏ | 29451/70000 [10:24:26<14:21:14, 1.27s/step] Training: 42%|████▏ | 29452/70000 [10:24:27<14:01:39, 1.25s/step] Training: 42%|████▏ | 29453/70000 [10:24:28<13:57:04, 1.24s/step] Training: 42%|████▏ | 29454/70000 [10:24:29<13:50:27, 1.23s/step] Training: 42%|████▏ | 29455/70000 [10:24:31<14:10:38, 1.26s/step] Training: 42%|████▏ | 29456/70000 [10:24:32<14:25:08, 1.28s/step] Training: 42%|████▏ | 29457/70000 [10:24:33<14:06:11, 1.25s/step] Training: 42%|████▏ | 29458/70000 [10:24:34<13:54:06, 1.23s/step] Training: 42%|████▏ | 29459/70000 [10:24:36<13:44:09, 1.22s/step] Training: 42%|████▏ | 29460/70000 [10:24:37<14:08:16, 1.26s/step] Training: 42%|████▏ | 29461/70000 [10:24:38<14:22:11, 1.28s/step] Training: 42%|████▏ | 29462/70000 [10:24:40<14:31:58, 1.29s/step] Training: 42%|████▏ | 29463/70000 [10:24:41<14:14:46, 1.27s/step] Training: 42%|████▏ | 29464/70000 [10:24:42<14:52:33, 1.32s/step] Training: 42%|████▏ | 29465/70000 [10:24:43<14:25:36, 1.28s/step] Training: 42%|████▏ | 29466/70000 [10:24:45<14:07:01, 1.25s/step] Training: 42%|████▏ | 29467/70000 [10:24:46<13:54:06, 1.23s/step] Training: 42%|████▏ | 29468/70000 [10:24:47<14:17:28, 1.27s/step] Training: 42%|████▏ | 29469/70000 [10:24:48<14:29:13, 1.29s/step] Training: 42%|████▏ | 29470/70000 [10:24:50<14:37:18, 1.30s/step] Training: 42%|████▏ | 29471/70000 [10:24:51<14:44:35, 1.31s/step] Training: 42%|████▏ | 29472/70000 [10:24:52<14:53:11, 1.32s/step] Training: 42%|████▏ | 29473/70000 [10:24:54<14:27:01, 1.28s/step] Training: 42%|████▏ | 29474/70000 [10:24:55<14:07:27, 1.25s/step] Training: 42%|████▏ | 29475/70000 [10:24:56<13:54:31, 1.24s/step] Training: 42%|████▏ | 29476/70000 [10:24:57<14:13:48, 1.26s/step] Training: 42%|████▏ | 29477/70000 [10:24:59<14:26:58, 1.28s/step] Training: 42%|████▏ | 29478/70000 [10:25:00<14:17:30, 1.27s/step] Training: 42%|████▏ | 29479/70000 [10:25:01<14:03:26, 1.25s/step] Training: 42%|████▏ | 29480/70000 [10:25:03<14:44:49, 1.31s/step] Training: 42%|████▏ | 29481/70000 [10:25:04<14:21:18, 1.28s/step] Training: 42%|████▏ | 29482/70000 [10:25:05<14:04:43, 1.25s/step] Training: 42%|████▏ | 29483/70000 [10:25:06<13:50:44, 1.23s/step] Training: 42%|████▏ | 29484/70000 [10:25:07<14:14:51, 1.27s/step] Training: 42%|████▏ | 29485/70000 [10:25:09<14:04:35, 1.25s/step] Training: 42%|████▏ | 29486/70000 [10:25:10<13:55:32, 1.24s/step] Training: 42%|████▏ | 29487/70000 [10:25:11<14:13:19, 1.26s/step] Training: 42%|████▏ | 29488/70000 [10:25:13<14:26:22, 1.28s/step] Training: 42%|████▏ | 29489/70000 [10:25:14<14:07:24, 1.26s/step] Training: 42%|████▏ | 29490/70000 [10:25:15<13:53:37, 1.23s/step] Training: 42%|████▏ | 29491/70000 [10:25:16<13:44:50, 1.22s/step] Training: 42%|████▏ | 29492/70000 [10:25:17<13:56:54, 1.24s/step] Training: 42%|████▏ | 29493/70000 [10:25:19<14:14:05, 1.27s/step] Training: 42%|████▏ | 29494/70000 [10:25:20<14:27:49, 1.29s/step] Training: 42%|████▏ | 29495/70000 [10:25:21<14:35:53, 1.30s/step] Training: 42%|████▏ | 29496/70000 [10:25:23<14:40:59, 1.31s/step] Training: 42%|████▏ | 29497/70000 [10:25:24<14:17:05, 1.27s/step] Training: 42%|████▏ | 29498/70000 [10:25:25<14:00:03, 1.24s/step] Training: 42%|████▏ | 29499/70000 [10:25:26<13:48:12, 1.23s/step] Training: 42%|████▏ | 29500/70000 [10:25:29<17:45:50, 1.58s/step]INFO 2026-03-13 06:35:21 ot_train.py:435 step:30K smpl:2M ep:6K epch:25.00 loss:0.032 grdn:4.908 lr:1.6e-05 updt_s:1.242 data_s:0.031 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 42%|████▏ | 29501/70000 [10:25:33<26:04:58, 2.32s/step] Training: 42%|████▏ | 29502/70000 [10:25:34<22:53:35, 2.04s/step] Training: 42%|████▏ | 29503/70000 [10:25:35<20:22:24, 1.81s/step] Training: 42%|████▏ | 29504/70000 [10:25:37<18:53:42, 1.68s/step] Training: 42%|████▏ | 29505/70000 [10:25:38<17:14:22, 1.53s/step] Training: 42%|████▏ | 29506/70000 [10:25:39<16:04:23, 1.43s/step] Training: 42%|████▏ | 29507/70000 [10:25:40<15:17:00, 1.36s/step] Training: 42%|████▏ | 29508/70000 [10:25:41<14:41:57, 1.31s/step] Training: 42%|████▏ | 29509/70000 [10:25:43<15:11:46, 1.35s/step] Training: 42%|████▏ | 29510/70000 [10:25:44<14:46:05, 1.31s/step] Training: 42%|████▏ | 29511/70000 [10:25:45<14:25:48, 1.28s/step] Training: 42%|████▏ | 29512/70000 [10:25:47<15:15:06, 1.36s/step] Training: 42%|████▏ | 29513/70000 [10:25:48<14:42:38, 1.31s/step] Training: 42%|████▏ | 29514/70000 [10:25:49<14:24:25, 1.28s/step] Training: 42%|████▏ | 29515/70000 [10:25:51<14:03:35, 1.25s/step] Training: 42%|████▏ | 29516/70000 [10:25:52<13:51:14, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=39921 Training: 42%|████▏ | 29517/70000 [10:25:53<14:16:52, 1.27s/step] Training: 42%|████▏ | 29518/70000 [10:25:54<14:04:02, 1.25s/step] Training: 42%|████▏ | 29519/70000 [10:25:56<14:18:49, 1.27s/step] Training: 42%|████▏ | 29520/70000 [10:25:57<14:30:14, 1.29s/step] Training: 42%|████▏ | 29521/70000 [10:25:58<14:11:38, 1.26s/step] Training: 42%|████▏ | 29522/70000 [10:25:59<13:56:47, 1.24s/step] Training: 42%|████▏ | 29523/70000 [10:26:00<13:46:04, 1.22s/step] Training: 42%|████▏ | 29524/70000 [10:26:02<13:39:07, 1.21s/step] Training: 42%|████▏ | 29525/70000 [10:26:03<14:03:16, 1.25s/step] Training: 42%|████▏ | 29526/70000 [10:26:04<14:43:11, 1.31s/step] Training: 42%|████▏ | 29527/70000 [10:26:06<14:21:05, 1.28s/step] Training: 42%|████▏ | 29528/70000 [10:26:07<14:33:49, 1.30s/step] Training: 42%|████▏ | 29529/70000 [10:26:08<14:12:23, 1.26s/step] Training: 42%|████▏ | 29530/70000 [10:26:09<13:57:52, 1.24s/step] Training: 42%|████▏ | 29531/70000 [10:26:11<13:46:57, 1.23s/step] Training: 42%|████▏ | 29532/70000 [10:26:12<13:39:57, 1.22s/step] Training: 42%|████▏ | 29533/70000 [10:26:13<14:03:58, 1.25s/step] Training: 42%|████▏ | 29534/70000 [10:26:15<14:44:32, 1.31s/step] Training: 42%|████▏ | 29535/70000 [10:26:16<14:29:06, 1.29s/step] Training: 42%|████▏ | 29536/70000 [10:26:17<14:44:03, 1.31s/step] Training: 42%|████▏ | 29537/70000 [10:26:18<14:20:55, 1.28s/step] Training: 42%|████▏ | 29538/70000 [10:26:20<14:03:45, 1.25s/step] Training: 42%|████▏ | 29539/70000 [10:26:21<13:51:20, 1.23s/step] Training: 42%|████▏ | 29540/70000 [10:26:22<13:42:14, 1.22s/step] Training: 42%|████▏ | 29541/70000 [10:26:23<14:07:21, 1.26s/step] Training: 42%|████▏ | 29542/70000 [10:26:25<14:26:24, 1.28s/step] Training: 42%|████▏ | 29543/70000 [10:26:26<14:07:23, 1.26s/step] Training: 42%|████▏ | 29544/70000 [10:26:27<14:52:18, 1.32s/step] Training: 42%|████▏ | 29545/70000 [10:26:28<14:25:57, 1.28s/step] Training: 42%|████▏ | 29546/70000 [10:26:30<14:07:04, 1.26s/step] Training: 42%|████▏ | 29547/70000 [10:26:31<13:54:13, 1.24s/step] Training: 42%|████▏ | 29548/70000 [10:26:32<13:44:04, 1.22s/step] Training: 42%|████▏ | 29549/70000 [10:26:33<13:45:58, 1.23s/step] Training: 42%|████▏ | 29550/70000 [10:26:35<13:50:53, 1.23s/step] Training: 42%|████▏ | 29551/70000 [10:26:36<14:11:20, 1.26s/step] Training: 42%|████▏ | 29552/70000 [10:26:37<14:25:12, 1.28s/step] Training: 42%|████▏ | 29553/70000 [10:26:38<14:06:20, 1.26s/step] Training: 42%|████▏ | 29554/70000 [10:26:40<13:52:51, 1.24s/step] Training: 42%|████▏ | 29555/70000 [10:26:41<13:43:48, 1.22s/step] Training: 42%|████▏ | 29556/70000 [10:26:42<13:37:14, 1.21s/step] Training: 42%|████▏ | 29557/70000 [10:26:43<14:03:31, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58032 Training: 42%|████▏ | 29558/70000 [10:26:45<14:27:46, 1.29s/step] Training: 42%|████▏ | 29559/70000 [10:26:46<14:08:11, 1.26s/step] Training: 42%|████▏ | 29560/70000 [10:26:47<14:47:10, 1.32s/step] Training: 42%|████▏ | 29561/70000 [10:26:48<14:21:48, 1.28s/step] Training: 42%|████▏ | 29562/70000 [10:26:50<14:05:55, 1.26s/step] Training: 42%|████▏ | 29563/70000 [10:26:51<13:51:21, 1.23s/step] Training: 42%|████▏ | 29564/70000 [10:26:52<13:42:55, 1.22s/step] Training: 42%|████▏ | 29565/70000 [10:26:53<14:06:42, 1.26s/step] Training: 42%|████▏ | 29566/70000 [10:26:55<14:20:07, 1.28s/step] Training: 42%|████▏ | 29567/70000 [10:26:56<14:11:04, 1.26s/step] Training: 42%|████▏ | 29568/70000 [10:26:57<14:32:39, 1.29s/step] Training: 42%|████▏ | 29569/70000 [10:26:59<14:11:39, 1.26s/step] Training: 42%|████▏ | 29570/70000 [10:27:00<14:01:13, 1.25s/step] Training: 42%|████▏ | 29571/70000 [10:27:01<13:47:44, 1.23s/step] Training: 42%|████▏ | 29572/70000 [10:27:02<13:40:19, 1.22s/step] Training: 42%|████▏ | 29573/70000 [10:27:03<13:37:05, 1.21s/step] Training: 42%|████▏ | 29574/70000 [10:27:05<14:00:07, 1.25s/step] Training: 42%|████▏ | 29575/70000 [10:27:06<14:23:50, 1.28s/step] Training: 42%|████▏ | 29576/70000 [10:27:07<14:46:10, 1.32s/step] Training: 42%|████▏ | 29577/70000 [10:27:09<14:21:04, 1.28s/step] Training: 42%|████▏ | 29578/70000 [10:27:10<14:04:13, 1.25s/step] Training: 42%|████▏ | 29579/70000 [10:27:11<13:51:11, 1.23s/step] Training: 42%|████▏ | 29580/70000 [10:27:12<13:47:51, 1.23s/step] Training: 42%|████▏ | 29581/70000 [10:27:13<13:46:49, 1.23s/step] Training: 42%|████▏ | 29582/70000 [10:27:15<14:06:16, 1.26s/step] Training: 42%|████▏ | 29583/70000 [10:27:16<14:42:43, 1.31s/step] Training: 42%|████▏ | 29584/70000 [10:27:18<14:49:14, 1.32s/step] Training: 42%|████▏ | 29585/70000 [10:27:19<14:51:23, 1.32s/step] Training: 42%|████▏ | 29586/70000 [10:27:20<14:24:17, 1.28s/step] Training: 42%|████▏ | 29587/70000 [10:27:21<14:04:32, 1.25s/step] Training: 42%|████▏ | 29588/70000 [10:27:22<13:51:48, 1.23s/step] Training: 42%|████▏ | 29589/70000 [10:27:24<14:10:39, 1.26s/step] Training: 42%|████▏ | 29590/70000 [10:27:25<13:55:40, 1.24s/step] Training: 42%|████▏ | 29591/70000 [10:27:26<14:41:27, 1.31s/step] Training: 42%|████▏ | 29592/70000 [10:27:28<14:44:01, 1.31s/step] Training: 42%|████▏ | 29593/70000 [10:27:29<14:46:07, 1.32s/step] Training: 42%|████▏ | 29594/70000 [10:27:30<14:21:01, 1.28s/step] Training: 42%|████▏ | 29595/70000 [10:27:31<14:03:16, 1.25s/step] Training: 42%|████▏ | 29596/70000 [10:27:33<13:49:59, 1.23s/step] Training: 42%|████▏ | 29597/70000 [10:27:34<14:08:30, 1.26s/step] Training: 42%|████▏ | 29598/70000 [10:27:35<14:24:33, 1.28s/step] Training: 42%|████▏ | 29599/70000 [10:27:37<14:33:50, 1.30s/step] Training: 42%|████▏ | 29600/70000 [10:27:38<15:00:43, 1.34s/step]INFO 2026-03-13 06:37:30 ot_train.py:435 step:30K smpl:2M ep:6K epch:25.09 loss:0.028 grdn:3.511 lr:1.6e-05 updt_s:1.247 data_s:0.045 Training: 42%|████▏ | 29601/70000 [10:27:39<14:30:35, 1.29s/step] Training: 42%|████▏ | 29602/70000 [10:27:40<14:08:58, 1.26s/step] Training: 42%|████▏ | 29603/70000 [10:27:42<13:53:25, 1.24s/step] Training: 42%|████▏ | 29604/70000 [10:27:43<13:43:43, 1.22s/step] Training: 42%|████▏ | 29605/70000 [10:27:44<13:44:00, 1.22s/step] Training: 42%|████▏ | 29606/70000 [10:27:45<13:40:06, 1.22s/step] Training: 42%|████▏ | 29607/70000 [10:27:46<13:36:45, 1.21s/step] Training: 42%|████▏ | 29608/70000 [10:27:48<14:30:24, 1.29s/step] Training: 42%|████▏ | 29609/70000 [10:27:49<14:09:32, 1.26s/step] Training: 42%|████▏ | 29610/70000 [10:27:50<13:54:50, 1.24s/step] Training: 42%|████▏ | 29611/70000 [10:27:51<13:45:01, 1.23s/step] Training: 42%|████▏ | 29612/70000 [10:27:53<13:37:12, 1.21s/step] Training: 42%|████▏ | 29613/70000 [10:27:54<13:41:22, 1.22s/step] Training: 42%|████▏ | 29614/70000 [10:27:55<13:42:04, 1.22s/step] Training: 42%|████▏ | 29615/70000 [10:27:56<13:44:02, 1.22s/step] Training: 42%|████▏ | 29616/70000 [10:27:58<13:51:11, 1.23s/step] Training: 42%|████▏ | 29617/70000 [10:27:59<14:00:19, 1.25s/step] Training: 42%|████▏ | 29618/70000 [10:28:00<13:50:34, 1.23s/step] Training: 42%|████▏ | 29619/70000 [10:28:01<13:41:15, 1.22s/step] Training: 42%|████▏ | 29620/70000 [10:28:02<13:35:22, 1.21s/step] Training: 42%|████▏ | 29621/70000 [10:28:04<13:59:34, 1.25s/step] Training: 42%|████▏ | 29622/70000 [10:28:05<13:54:12, 1.24s/step] Training: 42%|████▏ | 29623/70000 [10:28:06<14:04:53, 1.26s/step] Training: 42%|████▏ | 29624/70000 [10:28:08<14:43:50, 1.31s/step] Training: 42%|████▏ | 29625/70000 [10:28:09<14:18:32, 1.28s/step] Training: 42%|████▏ | 29626/70000 [10:28:10<14:00:48, 1.25s/step] Training: 42%|████▏ | 29627/70000 [10:28:11<13:48:23, 1.23s/step] Training: 42%|████▏ | 29628/70000 [10:28:13<13:39:27, 1.22s/step] Training: 42%|████▏ | 29629/70000 [10:28:14<14:05:14, 1.26s/step] Training: 42%|████▏ | 29630/70000 [10:28:15<13:51:34, 1.24s/step] Training: 42%|████▏ | 29631/70000 [10:28:16<14:09:28, 1.26s/step] Training: 42%|████▏ | 29632/70000 [10:28:18<14:13:08, 1.27s/step] Training: 42%|████▏ | 29633/70000 [10:28:19<14:23:33, 1.28s/step] Training: 42%|████▏ | 29634/70000 [10:28:20<14:04:32, 1.26s/step] Training: 42%|████▏ | 29635/70000 [10:28:21<13:50:52, 1.24s/step] Training: 42%|████▏ | 29636/70000 [10:28:23<13:41:51, 1.22s/step] Training: 42%|████▏ | 29637/70000 [10:28:24<13:45:33, 1.23s/step] Training: 42%|████▏ | 29638/70000 [10:28:25<13:44:33, 1.23s/step] Training: 42%|████▏ | 29639/70000 [10:28:26<14:09:25, 1.26s/step] Training: 42%|████▏ | 29640/70000 [10:28:28<14:01:34, 1.25s/step] Training: 42%|████▏ | 29641/70000 [10:28:29<14:20:23, 1.28s/step] Training: 42%|████▏ | 29642/70000 [10:28:30<14:01:28, 1.25s/step] Training: 42%|████▏ | 29643/70000 [10:28:31<13:49:25, 1.23s/step] Training: 42%|████▏ | 29644/70000 [10:28:32<13:40:34, 1.22s/step] Training: 42%|████▏ | 29645/70000 [10:28:34<13:43:43, 1.22s/step] Training: 42%|████▏ | 29646/70000 [10:28:35<13:41:41, 1.22s/step] Training: 42%|████▏ | 29647/70000 [10:28:36<14:05:29, 1.26s/step] Training: 42%|████▏ | 29648/70000 [10:28:37<13:52:55, 1.24s/step] Training: 42%|████▏ | 29649/70000 [10:28:39<14:22:33, 1.28s/step] Training: 42%|████▏ | 29650/70000 [10:28:40<14:05:01, 1.26s/step] Training: 42%|████▏ | 29651/70000 [10:28:41<13:51:19, 1.24s/step] Training: 42%|████▏ | 29652/70000 [10:28:42<13:41:29, 1.22s/step] Training: 42%|████▏ | 29653/70000 [10:28:44<14:02:39, 1.25s/step] Training: 42%|████▏ | 29654/70000 [10:28:45<14:18:53, 1.28s/step] Training: 42%|████▏ | 29655/70000 [10:28:46<14:10:16, 1.26s/step] Training: 42%|████▏ | 29656/70000 [10:28:48<14:19:46, 1.28s/step] Training: 42%|████▏ | 29657/70000 [10:28:49<14:02:17, 1.25s/step] Training: 42%|████▏ | 29658/70000 [10:28:50<14:20:22, 1.28s/step] Training: 42%|████▏ | 29659/70000 [10:28:51<14:00:34, 1.25s/step] Training: 42%|████▏ | 29660/70000 [10:28:53<13:48:19, 1.23s/step] Training: 42%|████▏ | 29661/70000 [10:28:54<14:11:12, 1.27s/step] Training: 42%|████▏ | 29662/70000 [10:28:55<14:22:18, 1.28s/step] Training: 42%|████▏ | 29663/70000 [10:28:56<14:12:06, 1.27s/step] Training: 42%|████▏ | 29664/70000 [10:28:58<14:21:16, 1.28s/step] Training: 42%|████▏ | 29665/70000 [10:28:59<14:37:21, 1.31s/step] Training: 42%|████▏ | 29666/70000 [10:29:00<14:11:31, 1.27s/step] Training: 42%|████▏ | 29667/70000 [10:29:01<13:56:16, 1.24s/step] Training: 42%|████▏ | 29668/70000 [10:29:03<13:45:44, 1.23s/step] Training: 42%|████▏ | 29669/70000 [10:29:04<13:47:20, 1.23s/step] Training: 42%|████▏ | 29670/70000 [10:29:05<13:45:43, 1.23s/step] Training: 42%|████▏ | 29671/70000 [10:29:06<13:38:08, 1.22s/step] Training: 42%|████▏ | 29672/70000 [10:29:08<14:36:53, 1.30s/step] Training: 42%|████▏ | 29673/70000 [10:29:09<14:21:12, 1.28s/step] Training: 42%|████▏ | 29674/70000 [10:29:10<14:34:02, 1.30s/step] Training: 42%|████▏ | 29675/70000 [10:29:12<14:10:24, 1.27s/step] Training: 42%|████▏ | 29676/70000 [10:29:13<13:55:19, 1.24s/step] Training: 42%|████▏ | 29677/70000 [10:29:14<13:52:08, 1.24s/step] Training: 42%|████▏ | 29678/70000 [10:29:15<13:47:52, 1.23s/step] Training: 42%|████▏ | 29679/70000 [10:29:17<14:06:46, 1.26s/step] Training: 42%|████▏ | 29680/70000 [10:29:18<13:58:02, 1.25s/step] Training: 42%|████▏ | 29681/70000 [10:29:19<13:52:00, 1.24s/step] Training: 42%|████▏ | 29682/70000 [10:29:20<14:32:56, 1.30s/step] Training: 42%|████▏ | 29683/70000 [10:29:22<14:08:49, 1.26s/step] Training: 42%|████▏ | 29684/70000 [10:29:23<13:53:41, 1.24s/step] Training: 42%|████▏ | 29685/70000 [10:29:24<14:12:52, 1.27s/step] Training: 42%|████▏ | 29686/70000 [10:29:25<14:24:57, 1.29s/step] Training: 42%|████▏ | 29687/70000 [10:29:27<14:09:14, 1.26s/step] Training: 42%|████▏ | 29688/70000 [10:29:28<14:21:25, 1.28s/step] Training: 42%|████▏ | 29689/70000 [10:29:29<14:31:30, 1.30s/step] Training: 42%|████▏ | 29690/70000 [10:29:31<14:11:31, 1.27s/step] Training: 42%|████▏ | 29691/70000 [10:29:32<13:54:49, 1.24s/step] Training: 42%|████▏ | 29692/70000 [10:29:33<13:43:52, 1.23s/step] Training: 42%|████▏ | 29693/70000 [10:29:34<14:03:29, 1.26s/step] Training: 42%|████▏ | 29694/70000 [10:29:36<14:18:13, 1.28s/step] Training: 42%|████▏ | 29695/70000 [10:29:37<14:08:16, 1.26s/step] Training: 42%|████▏ | 29696/70000 [10:29:38<14:27:24, 1.29s/step] Training: 42%|████▏ | 29697/70000 [10:29:39<14:37:06, 1.31s/step] Training: 42%|████▏ | 29698/70000 [10:29:41<14:25:40, 1.29s/step] Training: 42%|████▏ | 29699/70000 [10:29:42<14:06:07, 1.26s/step] Training: 42%|████▏ | 29700/70000 [10:29:43<13:51:25, 1.24s/step]INFO 2026-03-13 06:39:35 ot_train.py:435 step:30K smpl:2M ep:6K epch:25.17 loss:0.029 grdn:4.209 lr:1.6e-05 updt_s:1.230 data_s:0.019 Training: 42%|████▏ | 29701/70000 [10:29:44<14:02:22, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=58032 Training: 42%|████▏ | 29702/70000 [10:29:46<13:56:58, 1.25s/step] Training: 42%|████▏ | 29703/70000 [10:29:47<13:46:21, 1.23s/step] Training: 42%|████▏ | 29704/70000 [10:29:48<14:32:59, 1.30s/step] Training: 42%|████▏ | 29705/70000 [10:29:50<14:19:36, 1.28s/step] Training: 42%|████▏ | 29706/70000 [10:29:51<14:00:45, 1.25s/step] Training: 42%|████▏ | 29707/70000 [10:29:52<14:18:24, 1.28s/step] Training: 42%|████▏ | 29708/70000 [10:29:53<13:58:27, 1.25s/step] Training: 42%|████▏ | 29709/70000 [10:29:55<14:15:05, 1.27s/step] Training: 42%|████▏ | 29710/70000 [10:29:56<14:01:17, 1.25s/step] Training: 42%|████▏ | 29711/70000 [10:29:57<13:48:30, 1.23s/step] Training: 42%|████▏ | 29712/70000 [10:29:58<14:07:02, 1.26s/step] Training: 42%|████▏ | 29713/70000 [10:29:59<13:57:56, 1.25s/step] Training: 42%|████▏ | 29714/70000 [10:30:01<14:19:26, 1.28s/step] Training: 42%|████▏ | 29715/70000 [10:30:02<13:59:19, 1.25s/step] Training: 42%|████▏ | 29716/70000 [10:30:03<13:47:10, 1.23s/step] Training: 42%|████▏ | 29717/70000 [10:30:05<14:05:41, 1.26s/step] Training: 42%|████▏ | 29718/70000 [10:30:06<14:19:30, 1.28s/step] Training: 42%|████▏ | 29719/70000 [10:30:07<14:05:28, 1.26s/step] Training: 42%|████▏ | 29720/70000 [10:30:08<14:23:06, 1.29s/step] Training: 42%|████▏ | 29721/70000 [10:30:10<14:31:29, 1.30s/step] Training: 42%|████▏ | 29722/70000 [10:30:11<14:44:47, 1.32s/step] Training: 42%|████▏ | 29723/70000 [10:30:12<14:20:37, 1.28s/step] Training: 42%|████▏ | 29724/70000 [10:30:13<14:02:36, 1.26s/step] Training: 42%|████▏ | 29725/70000 [10:30:15<14:18:31, 1.28s/step] Training: 42%|████▏ | 29726/70000 [10:30:16<14:27:57, 1.29s/step] Training: 42%|████▏ | 29727/70000 [10:30:17<14:35:12, 1.30s/step] Training: 42%|████▏ | 29728/70000 [10:30:19<14:50:01, 1.33s/step] Training: 42%|████▏ | 29729/70000 [10:30:20<14:52:07, 1.33s/step] Training: 42%|████▏ | 29730/70000 [10:30:21<14:24:57, 1.29s/step] Training: 42%|████▏ | 29731/70000 [10:30:23<14:38:02, 1.31s/step] Training: 42%|████▏ | 29732/70000 [10:30:24<14:11:45, 1.27s/step] Training: 42%|████▏ | 29733/70000 [10:30:25<14:31:24, 1.30s/step] Training: 42%|████▏ | 29734/70000 [10:30:27<14:16:40, 1.28s/step] Training: 42%|████▏ | 29735/70000 [10:30:28<14:04:58, 1.26s/step] Training: 42%|████▏ | 29736/70000 [10:30:29<14:17:40, 1.28s/step] Training: 42%|████▏ | 29737/70000 [10:30:30<14:03:40, 1.26s/step] Training: 42%|████▏ | 29738/70000 [10:30:31<13:50:01, 1.24s/step] Training: 42%|████▏ | 29739/70000 [10:30:33<14:12:45, 1.27s/step] Training: 42%|████▏ | 29740/70000 [10:30:34<13:55:34, 1.25s/step] Training: 42%|████▏ | 29741/70000 [10:30:35<14:12:27, 1.27s/step] Training: 42%|████▏ | 29742/70000 [10:30:37<13:59:31, 1.25s/step] Training: 42%|████▏ | 29743/70000 [10:30:38<14:17:04, 1.28s/step] Training: 42%|████▏ | 29744/70000 [10:30:39<14:28:16, 1.29s/step] Training: 42%|████▏ | 29745/70000 [10:30:40<14:17:54, 1.28s/step] Training: 42%|████▏ | 29746/70000 [10:30:42<14:00:16, 1.25s/step] Training: 42%|████▏ | 29747/70000 [10:30:43<14:14:41, 1.27s/step] Training: 42%|████▏ | 29748/70000 [10:30:44<13:55:52, 1.25s/step] Training: 42%|████▏ | 29749/70000 [10:30:45<14:15:14, 1.27s/step] Training: 42%|████▎ | 29750/70000 [10:30:47<14:25:28, 1.29s/step] Training: 43%|████▎ | 29751/70000 [10:30:48<14:34:26, 1.30s/step] Training: 43%|████▎ | 29752/70000 [10:30:49<14:41:38, 1.31s/step] Training: 43%|████▎ | 29753/70000 [10:30:51<14:16:09, 1.28s/step] Training: 43%|████▎ | 29754/70000 [10:30:52<14:25:54, 1.29s/step] Training: 43%|████▎ | 29755/70000 [10:30:53<14:39:13, 1.31s/step] Training: 43%|████▎ | 29756/70000 [10:30:55<14:12:56, 1.27s/step] Training: 43%|████▎ | 29757/70000 [10:30:56<14:26:07, 1.29s/step] Training: 43%|████▎ | 29758/70000 [10:30:57<14:35:23, 1.31s/step] Training: 43%|████▎ | 29759/70000 [10:30:59<14:39:02, 1.31s/step] Training: 43%|████▎ | 29760/70000 [10:31:00<14:53:34, 1.33s/step] Training: 43%|████▎ | 29761/70000 [10:31:01<14:54:00, 1.33s/step] Training: 43%|████▎ | 29762/70000 [10:31:02<14:25:09, 1.29s/step] Training: 43%|████▎ | 29763/70000 [10:31:04<14:15:13, 1.28s/step] Training: 43%|████▎ | 29764/70000 [10:31:05<13:56:00, 1.25s/step] Training: 43%|████▎ | 29765/70000 [10:31:06<14:22:14, 1.29s/step] Training: 43%|████▎ | 29766/70000 [10:31:07<14:09:21, 1.27s/step] Training: 43%|████▎ | 29767/70000 [10:31:09<13:57:29, 1.25s/step] Training: 43%|████▎ | 29768/70000 [10:31:10<14:13:25, 1.27s/step] Training: 43%|████▎ | 29769/70000 [10:31:11<14:00:03, 1.25s/step] Training: 43%|████▎ | 29770/70000 [10:31:12<13:47:16, 1.23s/step] Training: 43%|████▎ | 29771/70000 [10:31:14<13:38:14, 1.22s/step] Training: 43%|████▎ | 29772/70000 [10:31:15<14:02:26, 1.26s/step] Training: 43%|████▎ | 29773/70000 [10:31:16<14:16:02, 1.28s/step] Training: 43%|████▎ | 29774/70000 [10:31:17<14:03:27, 1.26s/step] Training: 43%|████▎ | 29775/70000 [10:31:19<14:18:21, 1.28s/step] Training: 43%|████▎ | 29776/70000 [10:31:20<14:29:02, 1.30s/step] Training: 43%|████▎ | 29777/70000 [10:31:21<14:14:13, 1.27s/step] Training: 43%|████▎ | 29778/70000 [10:31:23<13:58:03, 1.25s/step] Training: 43%|████▎ | 29779/70000 [10:31:24<13:46:15, 1.23s/step] Training: 43%|████▎ | 29780/70000 [10:31:25<14:01:25, 1.26s/step] Training: 43%|████▎ | 29781/70000 [10:31:26<14:15:20, 1.28s/step] Training: 43%|████▎ | 29782/70000 [10:31:28<14:25:22, 1.29s/step] Training: 43%|████▎ | 29783/70000 [10:31:29<14:33:25, 1.30s/step] Training: 43%|████▎ | 29784/70000 [10:31:30<14:37:52, 1.31s/step] Training: 43%|████▎ | 29785/70000 [10:31:32<14:15:12, 1.28s/step] Training: 43%|████▎ | 29786/70000 [10:31:33<14:25:46, 1.29s/step] Training: 43%|████▎ | 29787/70000 [10:31:34<14:06:52, 1.26s/step] Training: 43%|████▎ | 29788/70000 [10:31:35<14:24:31, 1.29s/step] Training: 43%|████▎ | 29789/70000 [10:31:37<14:30:40, 1.30s/step] Training: 43%|████▎ | 29790/70000 [10:31:38<14:36:18, 1.31s/step] Training: 43%|████▎ | 29791/70000 [10:31:39<14:38:35, 1.31s/step] Training: 43%|████▎ | 29792/70000 [10:31:41<14:51:55, 1.33s/step] Training: 43%|████▎ | 29793/70000 [10:31:42<14:55:01, 1.34s/step] Training: 43%|████▎ | 29794/70000 [10:31:43<14:26:00, 1.29s/step] Training: 43%|████▎ | 29795/70000 [10:31:44<14:04:35, 1.26s/step] Training: 43%|████▎ | 29796/70000 [10:31:46<13:50:15, 1.24s/step] Training: 43%|████▎ | 29797/70000 [10:31:47<14:31:30, 1.30s/step] Training: 43%|████▎ | 29798/70000 [10:31:48<14:16:10, 1.28s/step] Training: 43%|████▎ | 29799/70000 [10:31:50<14:03:20, 1.26s/step] Training: 43%|████▎ | 29800/70000 [10:31:51<14:01:01, 1.26s/step]INFO 2026-03-13 06:41:43 ot_train.py:435 step:30K smpl:2M ep:6K epch:25.26 loss:0.028 grdn:4.161 lr:1.6e-05 updt_s:1.256 data_s:0.019 Training: 43%|████▎ | 29801/70000 [10:31:52<14:15:58, 1.28s/step] Training: 43%|████▎ | 29802/70000 [10:31:53<13:58:04, 1.25s/step] Training: 43%|████▎ | 29803/70000 [10:31:55<13:45:20, 1.23s/step] Training: 43%|████▎ | 29804/70000 [10:31:56<13:38:42, 1.22s/step] Training: 43%|████▎ | 29805/70000 [10:31:57<14:28:42, 1.30s/step] Training: 43%|████▎ | 29806/70000 [10:31:58<14:13:15, 1.27s/step] Training: 43%|████▎ | 29807/70000 [10:32:00<14:23:36, 1.29s/step] Training: 43%|████▎ | 29808/70000 [10:32:01<14:33:03, 1.30s/step] Training: 43%|████▎ | 29809/70000 [10:32:02<14:20:21, 1.28s/step] Training: 43%|████▎ | 29810/70000 [10:32:04<14:02:11, 1.26s/step] Training: 43%|████▎ | 29811/70000 [10:32:05<13:47:16, 1.24s/step] Training: 43%|████▎ | 29812/70000 [10:32:06<13:37:16, 1.22s/step] Training: 43%|████▎ | 29813/70000 [10:32:07<14:00:11, 1.25s/step] Training: 43%|████▎ | 29814/70000 [10:32:08<13:47:09, 1.24s/step] Training: 43%|████▎ | 29815/70000 [10:32:10<14:27:22, 1.30s/step] Training: 43%|████▎ | 29816/70000 [10:32:11<14:35:26, 1.31s/step] Training: 43%|████▎ | 29817/70000 [10:32:12<14:13:19, 1.27s/step] Training: 43%|████▎ | 29818/70000 [10:32:14<14:21:01, 1.29s/step] Training: 43%|████▎ | 29819/70000 [10:32:15<14:03:42, 1.26s/step] Training: 43%|████▎ | 29820/70000 [10:32:16<13:49:28, 1.24s/step] Training: 43%|████▎ | 29821/70000 [10:32:17<14:17:19, 1.28s/step] Training: 43%|████▎ | 29822/70000 [10:32:19<14:27:49, 1.30s/step] Training: 43%|████▎ | 29823/70000 [10:32:20<14:34:26, 1.31s/step] Training: 43%|████▎ | 29824/70000 [10:32:21<14:47:43, 1.33s/step] Training: 43%|████▎ | 29825/70000 [10:32:23<14:46:45, 1.32s/step] Training: 43%|████▎ | 29826/70000 [10:32:24<14:19:26, 1.28s/step] Training: 43%|████▎ | 29827/70000 [10:32:25<13:59:52, 1.25s/step] Training: 43%|████▎ | 29828/70000 [10:32:26<13:47:44, 1.24s/step] Training: 43%|████▎ | 29829/70000 [10:32:28<14:40:14, 1.31s/step] Training: 43%|████▎ | 29830/70000 [10:32:29<14:46:29, 1.32s/step] Training: 43%|████▎ | 29831/70000 [10:32:30<14:24:18, 1.29s/step] Training: 43%|████▎ | 29832/70000 [10:32:32<14:17:30, 1.28s/step] Training: 43%|████▎ | 29833/70000 [10:32:33<14:03:43, 1.26s/step] Training: 43%|████▎ | 29834/70000 [10:32:34<13:49:05, 1.24s/step] Training: 43%|████▎ | 29835/70000 [10:32:35<13:40:25, 1.23s/step] Training: 43%|████▎ | 29836/70000 [10:32:36<13:33:30, 1.22s/step] Training: 43%|████▎ | 29837/70000 [10:32:38<13:56:52, 1.25s/step] Training: 43%|████▎ | 29838/70000 [10:32:39<14:15:11, 1.28s/step] Training: 43%|████▎ | 29839/70000 [10:32:40<14:21:50, 1.29s/step] Training: 43%|████▎ | 29840/70000 [10:32:42<14:07:23, 1.27s/step] Training: 43%|████▎ | 29841/70000 [10:32:43<14:22:13, 1.29s/step] Training: 43%|████▎ | 29842/70000 [10:32:44<14:02:42, 1.26s/step] Training: 43%|████▎ | 29843/70000 [10:32:45<13:48:45, 1.24s/step] Training: 43%|████▎ | 29844/70000 [10:32:47<13:39:23, 1.22s/step] Training: 43%|████▎ | 29845/70000 [10:32:48<14:00:33, 1.26s/step] Training: 43%|████▎ | 29846/70000 [10:32:49<14:00:01, 1.26s/step] Training: 43%|████▎ | 29847/70000 [10:32:51<14:33:05, 1.30s/step] Training: 43%|████▎ | 29848/70000 [10:32:52<14:39:14, 1.31s/step] Training: 43%|████▎ | 29849/70000 [10:32:53<14:14:50, 1.28s/step] Training: 43%|████▎ | 29850/70000 [10:32:54<14:22:47, 1.29s/step] Training: 43%|████▎ | 29851/70000 [10:32:56<14:02:16, 1.26s/step] Training: 43%|████▎ | 29852/70000 [10:32:57<13:48:50, 1.24s/step] Training: 43%|████▎ | 29853/70000 [10:32:58<14:09:50, 1.27s/step] Training: 43%|████▎ | 29854/70000 [10:32:59<14:20:57, 1.29s/step] Training: 43%|████▎ | 29855/70000 [10:33:01<14:46:32, 1.33s/step] Training: 43%|████▎ | 29856/70000 [10:33:02<14:55:05, 1.34s/step] Training: 43%|████▎ | 29857/70000 [10:33:03<14:24:48, 1.29s/step] Training: 43%|████▎ | 29858/70000 [10:33:05<14:33:34, 1.31s/step] Training: 43%|████▎ | 29859/70000 [10:33:06<14:10:26, 1.27s/step] Training: 43%|████▎ | 29860/70000 [10:33:07<13:53:41, 1.25s/step] Training: 43%|████▎ | 29861/70000 [10:33:09<14:15:07, 1.28s/step] Training: 43%|████▎ | 29862/70000 [10:33:10<14:36:01, 1.31s/step] Training: 43%|████▎ | 29863/70000 [10:33:11<14:13:47, 1.28s/step] Training: 43%|████▎ | 29864/70000 [10:33:12<14:11:39, 1.27s/step] Training: 43%|████▎ | 29865/70000 [10:33:14<13:54:38, 1.25s/step] Training: 43%|████▎ | 29866/70000 [10:33:15<14:04:32, 1.26s/step] Training: 43%|████▎ | 29867/70000 [10:33:16<13:49:19, 1.24s/step] Training: 43%|████▎ | 29868/70000 [10:33:17<13:38:52, 1.22s/step] Training: 43%|████▎ | 29869/70000 [10:33:19<14:05:52, 1.26s/step] Training: 43%|████▎ | 29870/70000 [10:33:20<14:16:13, 1.28s/step] Training: 43%|████▎ | 29871/70000 [10:33:21<14:47:23, 1.33s/step] Training: 43%|████▎ | 29872/70000 [10:33:23<14:24:17, 1.29s/step] Training: 43%|████▎ | 29873/70000 [10:33:24<14:23:17, 1.29s/step] Training: 43%|████▎ | 29874/70000 [10:33:25<14:05:51, 1.26s/step] Training: 43%|████▎ | 29875/70000 [10:33:26<13:50:59, 1.24s/step] Training: 43%|████▎ | 29876/70000 [10:33:27<13:40:23, 1.23s/step] Training: 43%|████▎ | 29877/70000 [10:33:29<13:40:42, 1.23s/step] Training: 43%|████▎ | 29878/70000 [10:33:30<13:38:43, 1.22s/step] Training: 43%|████▎ | 29879/70000 [10:33:31<14:20:28, 1.29s/step] Training: 43%|████▎ | 29880/70000 [10:33:33<14:29:26, 1.30s/step] Training: 43%|████▎ | 29881/70000 [10:33:34<14:07:18, 1.27s/step] Training: 43%|████▎ | 29882/70000 [10:33:35<13:51:10, 1.24s/step] Training: 43%|████▎ | 29883/70000 [10:33:36<13:40:04, 1.23s/step] Training: 43%|████▎ | 29884/70000 [10:33:37<13:32:58, 1.22s/step] Training: 43%|████▎ | 29885/70000 [10:33:39<13:55:44, 1.25s/step] Training: 43%|████▎ | 29886/70000 [10:33:40<14:11:26, 1.27s/step] Training: 43%|████▎ | 29887/70000 [10:33:41<14:21:37, 1.29s/step] Training: 43%|████▎ | 29888/70000 [10:33:43<14:40:57, 1.32s/step] Training: 43%|████▎ | 29889/70000 [10:33:44<14:14:53, 1.28s/step] Training: 43%|████▎ | 29890/70000 [10:33:45<14:05:54, 1.27s/step] Training: 43%|████▎ | 29891/70000 [10:33:46<13:50:54, 1.24s/step] Training: 43%|████▎ | 29892/70000 [10:33:48<13:40:23, 1.23s/step] Training: 43%|████▎ | 29893/70000 [10:33:49<14:00:53, 1.26s/step] Training: 43%|████▎ | 29894/70000 [10:33:50<14:16:20, 1.28s/step] Training: 43%|████▎ | 29895/70000 [10:33:51<14:07:18, 1.27s/step] Training: 43%|████▎ | 29896/70000 [10:33:53<14:00:58, 1.26s/step] Training: 43%|████▎ | 29897/70000 [10:33:54<13:46:35, 1.24s/step] Training: 43%|████▎ | 29898/70000 [10:33:55<13:41:10, 1.23s/step] Training: 43%|████▎ | 29899/70000 [10:33:56<13:33:57, 1.22s/step] Training: 43%|████▎ | 29900/70000 [10:33:57<13:28:05, 1.21s/step]INFO 2026-03-13 06:43:50 ot_train.py:435 step:30K smpl:2M ep:7K epch:25.34 loss:0.028 grdn:3.924 lr:1.6e-05 updt_s:1.245 data_s:0.019 Training: 43%|████▎ | 29901/70000 [10:33:59<14:00:12, 1.26s/step] Training: 43%|████▎ | 29902/70000 [10:34:00<13:54:03, 1.25s/step] Training: 43%|████▎ | 29903/70000 [10:34:01<14:08:12, 1.27s/step] Training: 43%|████▎ | 29904/70000 [10:34:03<14:20:25, 1.29s/step] Training: 43%|████▎ | 29905/70000 [10:34:04<14:00:41, 1.26s/step] Training: 43%|████▎ | 29906/70000 [10:34:05<14:14:22, 1.28s/step] Training: 43%|████▎ | 29907/70000 [10:34:06<13:57:13, 1.25s/step] Training: 43%|████▎ | 29908/70000 [10:34:08<13:44:27, 1.23s/step] Training: 43%|████▎ | 29909/70000 [10:34:09<13:41:54, 1.23s/step] Training: 43%|████▎ | 29910/70000 [10:34:10<13:38:13, 1.22s/step] Training: 43%|████▎ | 29911/70000 [10:34:11<13:59:21, 1.26s/step] Training: 43%|████▎ | 29912/70000 [10:34:13<14:35:12, 1.31s/step] Training: 43%|████▎ | 29913/70000 [10:34:14<14:11:17, 1.27s/step] Training: 43%|████▎ | 29914/70000 [10:34:15<14:20:50, 1.29s/step] Training: 43%|████▎ | 29915/70000 [10:34:17<14:04:06, 1.26s/step] Training: 43%|████▎ | 29916/70000 [10:34:18<13:47:53, 1.24s/step] Training: 43%|████▎ | 29917/70000 [10:34:19<14:07:40, 1.27s/step] Training: 43%|████▎ | 29918/70000 [10:34:20<14:19:24, 1.29s/step] Training: 43%|████▎ | 29919/70000 [10:34:22<14:08:05, 1.27s/step] Training: 43%|████▎ | 29920/70000 [10:34:23<14:34:07, 1.31s/step] Training: 43%|████▎ | 29921/70000 [10:34:24<14:10:14, 1.27s/step] Training: 43%|████▎ | 29922/70000 [10:34:25<14:00:53, 1.26s/step] Training: 43%|████▎ | 29923/70000 [10:34:27<13:47:04, 1.24s/step] Training: 43%|████▎ | 29924/70000 [10:34:28<13:36:48, 1.22s/step] Training: 43%|████▎ | 29925/70000 [10:34:29<13:59:05, 1.26s/step] Training: 43%|████▎ | 29926/70000 [10:34:30<14:15:09, 1.28s/step] Training: 43%|████▎ | 29927/70000 [10:34:32<13:58:40, 1.26s/step] Training: 43%|████▎ | 29928/70000 [10:34:33<13:59:34, 1.26s/step] Training: 43%|████▎ | 29929/70000 [10:34:34<14:17:31, 1.28s/step] Training: 43%|████▎ | 29930/70000 [10:34:35<14:00:02, 1.26s/step] Training: 43%|████▎ | 29931/70000 [10:34:37<13:46:26, 1.24s/step] Training: 43%|████▎ | 29932/70000 [10:34:38<13:36:26, 1.22s/step] Training: 43%|████▎ | 29933/70000 [10:34:39<13:41:03, 1.23s/step] Training: 43%|████▎ | 29934/70000 [10:34:40<13:41:41, 1.23s/step] Training: 43%|████▎ | 29935/70000 [10:34:42<14:01:39, 1.26s/step] Training: 43%|████▎ | 29936/70000 [10:34:43<14:23:14, 1.29s/step] Training: 43%|████▎ | 29937/70000 [10:34:44<14:00:05, 1.26s/step] Training: 43%|████▎ | 29938/70000 [10:34:46<14:16:04, 1.28s/step] Training: 43%|████▎ | 29939/70000 [10:34:47<13:57:57, 1.26s/step] Training: 43%|████▎ | 29940/70000 [10:34:48<13:44:47, 1.24s/step] Training: 43%|████▎ | 29941/70000 [10:34:49<13:48:02, 1.24s/step] Training: 43%|████▎ | 29942/70000 [10:34:50<13:44:12, 1.23s/step] Training: 43%|████▎ | 29943/70000 [10:34:52<14:02:49, 1.26s/step] Training: 43%|████▎ | 29944/70000 [10:34:53<14:17:15, 1.28s/step] Training: 43%|████▎ | 29945/70000 [10:34:54<14:29:22, 1.30s/step] Training: 43%|████▎ | 29946/70000 [10:34:56<14:32:42, 1.31s/step] Training: 43%|████▎ | 29947/70000 [10:34:57<14:09:19, 1.27s/step] Training: 43%|████▎ | 29948/70000 [10:34:58<13:52:46, 1.25s/step] Training: 43%|████▎ | 29949/70000 [10:34:59<14:11:29, 1.28s/step] Training: 43%|████▎ | 29950/70000 [10:35:01<14:21:19, 1.29s/step] Training: 43%|████▎ | 29951/70000 [10:35:02<14:11:55, 1.28s/step] Training: 43%|████▎ | 29952/70000 [10:35:03<14:29:29, 1.30s/step] Training: 43%|████▎ | 29953/70000 [10:35:05<14:38:23, 1.32s/step] Training: 43%|████▎ | 29954/70000 [10:35:06<14:26:35, 1.30s/step] Training: 43%|████▎ | 29955/70000 [10:35:07<14:04:09, 1.26s/step] Training: 43%|████▎ | 29956/70000 [10:35:08<13:49:06, 1.24s/step] Training: 43%|████▎ | 29957/70000 [10:35:10<14:06:58, 1.27s/step] Training: 43%|████▎ | 29958/70000 [10:35:11<14:19:31, 1.29s/step] Training: 43%|████▎ | 29959/70000 [10:35:12<14:04:43, 1.27s/step] Training: 43%|████▎ | 29960/70000 [10:35:13<14:02:35, 1.26s/step] Training: 43%|████▎ | 29961/70000 [10:35:15<13:51:48, 1.25s/step] Training: 43%|████▎ | 29962/70000 [10:35:16<13:41:34, 1.23s/step] Training: 43%|████▎ | 29963/70000 [10:35:17<13:34:35, 1.22s/step] Training: 43%|████▎ | 29964/70000 [10:35:18<13:27:51, 1.21s/step] Training: 43%|████▎ | 29965/70000 [10:35:20<13:33:47, 1.22s/step] Training: 43%|████▎ | 29966/70000 [10:35:21<13:35:55, 1.22s/step] Training: 43%|████▎ | 29967/70000 [10:35:22<13:59:06, 1.26s/step] Training: 43%|████▎ | 29968/70000 [10:35:23<14:14:50, 1.28s/step] Training: 43%|████▎ | 29969/70000 [10:35:25<14:08:47, 1.27s/step] Training: 43%|████▎ | 29970/70000 [10:35:26<14:19:37, 1.29s/step] Training: 43%|████▎ | 29971/70000 [10:35:27<14:00:16, 1.26s/step] Training: 43%|████▎ | 29972/70000 [10:35:28<13:46:10, 1.24s/step] Training: 43%|████▎ | 29973/70000 [10:35:30<13:42:43, 1.23s/step] Training: 43%|████▎ | 29974/70000 [10:35:31<13:38:50, 1.23s/step] Training: 43%|████▎ | 29975/70000 [10:35:32<14:00:08, 1.26s/step] Training: 43%|████▎ | 29976/70000 [10:35:33<14:16:00, 1.28s/step] Training: 43%|████▎ | 29977/70000 [10:35:35<14:08:05, 1.27s/step] Training: 43%|████▎ | 29978/70000 [10:35:36<14:17:49, 1.29s/step] Training: 43%|████▎ | 29979/70000 [10:35:37<13:58:04, 1.26s/step] Training: 43%|████▎ | 29980/70000 [10:35:38<13:44:35, 1.24s/step] Training: 43%|████▎ | 29981/70000 [10:35:40<14:05:39, 1.27s/step] Training: 43%|████▎ | 29982/70000 [10:35:41<14:16:50, 1.28s/step] Training: 43%|████▎ | 29983/70000 [10:35:42<14:04:59, 1.27s/step] Training: 43%|████▎ | 29984/70000 [10:35:44<14:24:27, 1.30s/step] Training: 43%|████▎ | 29985/70000 [10:35:45<14:02:19, 1.26s/step] Training: 43%|████▎ | 29986/70000 [10:35:46<14:17:44, 1.29s/step] Training: 43%|████▎ | 29987/70000 [10:35:47<13:56:39, 1.25s/step] Training: 43%|████▎ | 29988/70000 [10:35:49<13:43:17, 1.23s/step] Training: 43%|████▎ | 29989/70000 [10:35:50<14:04:32, 1.27s/step] Training: 43%|████▎ | 29990/70000 [10:35:51<14:19:06, 1.29s/step] Training: 43%|████▎ | 29991/70000 [10:35:52<14:04:28, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=56525 Training: 43%|████▎ | 29992/70000 [10:35:54<14:03:27, 1.26s/step] Training: 43%|████▎ | 29993/70000 [10:35:55<13:50:02, 1.24s/step] Training: 43%|████▎ | 29994/70000 [10:35:56<14:00:13, 1.26s/step] Training: 43%|████▎ | 29995/70000 [10:35:57<13:46:33, 1.24s/step] Training: 43%|████▎ | 29996/70000 [10:35:59<13:36:34, 1.22s/step] Training: 43%|████▎ | 29997/70000 [10:36:00<13:40:45, 1.23s/step] Training: 43%|████▎ | 29998/70000 [10:36:01<13:41:30, 1.23s/step] Training: 43%|████▎ | 29999/70000 [10:36:02<14:02:39, 1.26s/step] Training: 43%|████▎ | 30000/70000 [10:36:04<14:14:21, 1.28s/step]INFO 2026-03-13 06:45:56 ot_train.py:435 step:30K smpl:2M ep:7K epch:25.43 loss:0.028 grdn:5.568 lr:1.6e-05 updt_s:1.242 data_s:0.019 INFO 2026-03-13 06:45:56 ot_train.py:455 Checkpoint policy after step 30000 [Avatar] Pushing checkpoint (step 30000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008... Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...12-2008/model.safetensors: 0%| | 1.02MB / 5.85GB  ...12-2008/model.safetensors: 0%| | 1.02MB / 5.85GB  Processing Files (0 / 1) : 0%| | 1.02MB / 5.85GB, ???B/s ...12-2008/model.safetensors: 0%| | 1.05MB / 5.85GB  Processing Files (0 / 1) : 0%| | 1.05MB / 5.85GB, 188kB/s ...12-2008/model.safetensors: 1%| | 67.8MB / 5.85GB  Processing Files (0 / 1) : 1%| | 67.8MB / 5.85GB, 167MB/s New Data Upload : 50%|████▉ | 66.7MB / 134MB, 167MB/s  ...12-2008/model.safetensors: 1%| | 67.8MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 67.8MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 67.8MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 67.8MB / 5.85GB  ...12-2008/model.safetensors: 2%|▏ | 135MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 135MB / 5.85GB, 95.6MB/s New Data Upload : 100%|█████████▉| 134MB / 134MB, 95.5MB/s  ...12-2008/model.safetensors: 2%|▏ | 135MB / 5.85GB  ...12-2008/model.safetensors: 3%|▎ | 201MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 201MB / 5.85GB, 111MB/s New Data Upload : 75%|███████▍ | 200MB / 268MB, 111MB/s  ...12-2008/model.safetensors: 3%|▎ | 201MB / 5.85GB  ...12-2008/model.safetensors: 3%|▎ | 201MB / 5.85GB  ...12-2008/model.safetensors: 3%|▎ | 201MB / 5.85GB  ...12-2008/model.safetensors: 5%|▍ | 269MB / 5.85GB  Processing Files (0 / 1) : 5%|▍ | 269MB / 5.85GB, 103MB/s New Data Upload : 100%|█████████▉| 268MB / 268MB, 103MB/s  ...12-2008/model.safetensors: 5%|▍ | 269MB / 5.85GB  Processing Files (0 / 1) : 5%|▍ | 269MB / 5.85GB, 95.7MB/s ...12-2008/model.safetensors: 6%|▌ | 336MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 336MB / 5.85GB, 112MB/s New Data Upload : 100%|█████████▉| 334MB / 335MB, 111MB/s  ...12-2008/model.safetensors: 6%|▌ | 336MB / 5.85GB  ...12-2008/model.safetensors: 6%|▌ | 336MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 336MB / 5.85GB, 98.5MB/s New Data Upload : 83%|████████▎ | 335MB / 402MB, 98.4MB/s  ...12-2008/model.safetensors: 7%|▋ | 403MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 403MB / 5.85GB, 112MB/s New Data Upload : 86%|████████▌ | 401MB / 469MB, 112MB/s  ...12-2008/model.safetensors: 7%|▋ | 419MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 419MB / 5.85GB, 110MB/s New Data Upload : 89%|████████▉ | 417MB / 469MB, 110MB/s  ...12-2008/model.safetensors: 8%|▊ | 470MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 470MB / 5.85GB, 117MB/s New Data Upload : 87%|████████▋ | 469MB / 536MB, 117MB/s  ...12-2008/model.safetensors: 9%|▉ | 537MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 537MB / 5.85GB, 128MB/s New Data Upload : 100%|█████████▉| 536MB / 536MB, 128MB/s  ...12-2008/model.safetensors: 9%|▉ | 537MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 537MB / 5.85GB, 122MB/s New Data Upload : 89%|████████▉ | 536MB / 603MB, 122MB/s  ...12-2008/model.safetensors: 10%|█ | 604MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 604MB / 5.85GB, 131MB/s New Data Upload : 90%|████████▉ | 602MB / 671MB, 131MB/s  ...12-2008/model.safetensors: 10%|█ | 604MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 604MB / 5.85GB, 126MB/s New Data Upload : 90%|████████▉ | 603MB / 671MB, 126MB/s  ...12-2008/model.safetensors: 11%|█▏ | 671MB / 5.85GB  Processing Files (0 / 1) : 11%|█▏ | 671MB / 5.85GB, 134MB/s New Data Upload : 91%|█████████ | 669MB / 738MB, 134MB/s  ...12-2008/model.safetensors: 13%|█▎ | 737MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 737MB / 5.85GB, 142MB/s New Data Upload : 100%|█████████▉| 736MB / 738MB, 141MB/s  ...12-2008/model.safetensors: 13%|█▎ | 738MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 738MB / 5.85GB, 136MB/s New Data Upload : 92%|█████████▏| 736MB / 805MB, 136MB/s  ...12-2008/model.safetensors: 14%|█▍ | 805MB / 5.85GB  Processing Files (0 / 1) : 14%|█▍ | 805MB / 5.85GB, 144MB/s New Data Upload : 100%|█████████▉| 803MB / 805MB, 143MB/s  ...12-2008/model.safetensors: 14%|█▍ | 805MB / 5.85GB  Processing Files (0 / 1) : 14%|█▍ | 805MB / 5.85GB, 139MB/s New Data Upload : 92%|█████████▏| 803MB / 872MB, 138MB/s  ...12-2008/model.safetensors: 15%|█▍ | 872MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 872MB / 5.85GB, 145MB/s New Data Upload : 93%|█████████▎| 870MB / 939MB, 145MB/s  ...12-2008/model.safetensors: 15%|█▍ | 874MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 874MB / 5.85GB, 141MB/s New Data Upload : 93%|█████████▎| 872MB / 939MB, 141MB/s  ...12-2008/model.safetensors: 16%|█▌ | 939MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 939MB / 5.85GB, 147MB/s New Data Upload : 93%|█████████▎| 937MB / 1.01GB, 146MB/s  ...12-2008/model.safetensors: 17%|█▋ | 1.01GB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 1.01GB / 5.85GB, 153MB/s New Data Upload : 100%|█████████▉| 1.00GB / 1.01GB, 152MB/s  ...12-2008/model.safetensors: 17%|█▋ | 1.01GB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 1.01GB / 5.85GB, 148MB/s New Data Upload : 94%|█████████▎| 1.01GB / 1.07GB, 148MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.08GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.08GB / 5.85GB, 154MB/s New Data Upload : 94%|█████████▍| 1.07GB / 1.14GB, 153MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.08GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.08GB / 5.85GB, 149MB/s New Data Upload : 94%|█████████▍| 1.07GB / 1.14GB, 149MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.14GB / 5.85GB  Processing Files (0 / 1) : 20%|█▉ | 1.14GB / 5.85GB, 154MB/s New Data Upload : 94%|█████████▍| 1.14GB / 1.21GB, 154MB/s  ...12-2008/model.safetensors: 20%|██ | 1.19GB / 5.85GB  Processing Files (0 / 1) : 20%|██ | 1.19GB / 5.85GB, 156MB/s New Data Upload : 98%|█████████▊| 1.18GB / 1.21GB, 156MB/s  ...12-2008/model.safetensors: 21%|██ | 1.21GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.21GB / 5.85GB, 155MB/s New Data Upload : 95%|█████████▍| 1.21GB / 1.27GB, 155MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.28GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.28GB / 5.85GB, 159MB/s New Data Upload : 100%|█████████▉| 1.27GB / 1.27GB, 159MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.28GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.28GB / 5.85GB, 156MB/s New Data Upload : 95%|█████████▍| 1.27GB / 1.34GB, 155MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.34GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.34GB / 5.85GB, 160MB/s New Data Upload : 95%|█████████▌| 1.34GB / 1.41GB, 160MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.34GB / 5.85GB  ...12-2008/model.safetensors: 24%|██▍ | 1.41GB / 5.85GB  Processing Files (0 / 1) : 24%|██▍ | 1.41GB / 5.85GB, 160MB/s New Data Upload : 95%|█████████▌| 1.41GB / 1.48GB, 160MB/s  ...12-2008/model.safetensors: 25%|██▌ | 1.48GB / 5.85GB  Processing Files (0 / 1) : 25%|██▌ | 1.48GB / 5.85GB, 164MB/s New Data Upload : 100%|█████████▉| 1.47GB / 1.48GB, 164MB/s  ...12-2008/model.safetensors: 25%|██▌ | 1.48GB / 5.85GB  ...12-2008/model.safetensors: 26%|██▋ | 1.54GB / 5.85GB  Processing Files (0 / 1) : 26%|██▋ | 1.54GB / 5.85GB, 164MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 164MB/s  ...12-2008/model.safetensors: 26%|██▋ | 1.55GB / 5.85GB  Processing Files (0 / 1) : 26%|██▋ | 1.55GB / 5.85GB, 161MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 161MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.61GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.61GB / 5.85GB, 164MB/s New Data Upload : 96%|█████████▌| 1.61GB / 1.68GB, 164MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.65GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.65GB / 5.85GB, 165MB/s New Data Upload : 98%|█████████▊| 1.64GB / 1.68GB, 164MB/s  ...12-2008/model.safetensors: 29%|██▊ | 1.68GB / 5.85GB  Processing Files (0 / 1) : 29%|██▊ | 1.68GB / 5.85GB, 165MB/s New Data Upload : 96%|█████████▌| 1.68GB / 1.74GB, 164MB/s  ...12-2008/model.safetensors: 30%|██▉ | 1.75GB / 5.85GB  Processing Files (0 / 1) : 30%|██▉ | 1.75GB / 5.85GB, 171MB/s New Data Upload : 100%|█████████▉| 1.74GB / 1.74GB, 171MB/s  ...12-2008/model.safetensors: 30%|██▉ | 1.75GB / 5.85GB  Processing Files (0 / 1) : 30%|██▉ | 1.75GB / 5.85GB, 165MB/s New Data Upload : 96%|█████████▋| 1.74GB / 1.81GB, 164MB/s  ...12-2008/model.safetensors: 31%|███ | 1.81GB / 5.85GB  Processing Files (0 / 1) : 31%|███ | 1.81GB / 5.85GB, 171MB/s New Data Upload : 100%|█████████▉| 1.81GB / 1.81GB, 171MB/s  ...12-2008/model.safetensors: 31%|███ | 1.81GB / 5.85GB  Processing Files (0 / 1) : 31%|███ | 1.81GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 171MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.88GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.88GB / 5.85GB, 178MB/s New Data Upload : 97%|█████████▋| 1.88GB / 1.94GB, 177MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.89GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.89GB / 5.85GB, 179MB/s New Data Upload : 97%|█████████▋| 1.89GB / 1.94GB, 178MB/s  ...12-2008/model.safetensors: 33%|███▎ | 1.95GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.95GB / 5.85GB, 178MB/s New Data Upload : 97%|█████████▋| 1.94GB / 2.01GB, 178MB/s  ...12-2008/model.safetensors: 34%|███▍ | 2.01GB / 5.85GB  Processing Files (0 / 1) : 34%|███▍ | 2.01GB / 5.85GB, 184MB/s New Data Upload : 100%|█████████▉| 2.01GB / 2.01GB, 184MB/s  ...12-2008/model.safetensors: 34%|███▍ | 2.01GB / 5.85GB  Processing Files (0 / 1) : 34%|███▍ | 2.01GB / 5.85GB, 178MB/s New Data Upload : 97%|█████████▋| 2.01GB / 2.08GB, 178MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.08GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.08GB / 5.85GB, 184MB/s New Data Upload : 100%|█████████▉| 2.08GB / 2.08GB, 184MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.08GB / 5.85GB  ...12-2008/model.safetensors: 37%|███▋ | 2.15GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.15GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.14GB / 2.21GB, 191MB/s  ...12-2008/model.safetensors: 37%|███▋ | 2.15GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.15GB / 5.85GB, 184MB/s New Data Upload : 97%|█████████▋| 2.14GB / 2.21GB, 184MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.22GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.22GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.21GB / 2.28GB, 191MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.27GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.27GB / 5.85GB, 189MB/s New Data Upload : 99%|█████████▉| 2.26GB / 2.28GB, 189MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.28GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.28GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 191MB/s  ...12-2008/model.safetensors: 40%|████ | 2.35GB / 5.85GB  Processing Files (0 / 1) : 40%|████ | 2.35GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.35GB / 2.35GB, 197MB/s  ...12-2008/model.safetensors: 40%|████ | 2.35GB / 5.85GB  ...12-2008/model.safetensors: 41%|████▏ | 2.42GB / 5.85GB  Processing Files (0 / 1) : 41%|████▏ | 2.42GB / 5.85GB, 196MB/s New Data Upload : 97%|█████████▋| 2.41GB / 2.48GB, 196MB/s  ...12-2008/model.safetensors: 41%|████▏ | 2.42GB / 5.85GB  Processing Files (0 / 1) : 41%|████▏ | 2.42GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.41GB / 2.48GB, 191MB/s  ...12-2008/model.safetensors: 42%|████▏ | 2.48GB / 5.85GB  Processing Files (0 / 1) : 42%|████▏ | 2.48GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.48GB / 2.55GB, 191MB/s  ...12-2008/model.safetensors: 44%|████▎ | 2.55GB / 5.85GB  Processing Files (0 / 1) : 44%|████▎ | 2.55GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.55GB / 2.55GB, 197MB/s  ...12-2008/model.safetensors: 44%|████▎ | 2.55GB / 5.85GB  ...12-2008/model.safetensors: 45%|████▍ | 2.62GB / 5.85GB  Processing Files (0 / 1) : 45%|████▍ | 2.62GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.61GB / 2.61GB, 197MB/s  ...12-2008/model.safetensors: 45%|████▍ | 2.62GB / 5.85GB  Processing Files (0 / 1) : 45%|████▍ | 2.62GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.61GB / 2.68GB, 191MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.68GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.68GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.68GB / 2.75GB, 191MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.68GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.68GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.68GB / 2.75GB, 191MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.75GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.75GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.75GB / 2.82GB, 191MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.82GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.82GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.81GB / 2.82GB, 197MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.82GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.82GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.81GB / 2.88GB, 191MB/s  ...12-2008/model.safetensors: 49%|████▉ | 2.89GB / 5.85GB  Processing Files (0 / 1) : 49%|████▉ | 2.89GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.88GB / 2.88GB, 197MB/s  ...12-2008/model.safetensors: 49%|████▉ | 2.89GB / 5.85GB  Processing Files (0 / 1) : 49%|████▉ | 2.89GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.88GB / 2.95GB, 191MB/s  ...12-2008/model.safetensors: 50%|█████ | 2.95GB / 5.85GB  Processing Files (0 / 1) : 50%|█████ | 2.95GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.95GB / 3.02GB, 191MB/s  ...12-2008/model.safetensors: 51%|█████ | 2.97GB / 5.85GB  Processing Files (0 / 1) : 51%|█████ | 2.97GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 2.96GB / 3.02GB, 192MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.02GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.02GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.02GB / 3.08GB, 191MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.09GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.09GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.08GB / 3.08GB, 197MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.09GB / 5.85GB  ...12-2008/model.safetensors: 54%|█████▍ | 3.15GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▍ | 3.15GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 3.15GB / 3.22GB, 193MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.15GB / 5.85GB  ...12-2008/model.safetensors: 55%|█████▌ | 3.22GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.22GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.22GB / 3.29GB, 191MB/s  ...12-2008/model.safetensors: 55%|█████▌ | 3.24GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.24GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▊| 3.24GB / 3.29GB, 193MB/s  ...12-2008/model.safetensors: 56%|█████▌ | 3.29GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▌ | 3.29GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.28GB / 3.35GB, 191MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.35GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.35GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.35GB / 3.35GB, 197MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.36GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.36GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.35GB / 3.42GB, 191MB/s  ...12-2008/model.safetensors: 59%|█████▊ | 3.42GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▊ | 3.42GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.42GB / 3.49GB, 191MB/s  ...12-2008/model.safetensors: 59%|█████▊ | 3.42GB / 5.85GB  ...12-2008/model.safetensors: 60%|█████▉ | 3.49GB / 5.85GB  Processing Files (0 / 1) : 60%|█████▉ | 3.49GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.49GB / 3.55GB, 191MB/s  ...12-2008/model.safetensors: 60%|██████ | 3.53GB / 5.85GB  Processing Files (0 / 1) : 60%|██████ | 3.53GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 3.53GB / 3.55GB, 195MB/s  ...12-2008/model.safetensors: 61%|██████ | 3.56GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.56GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.55GB / 3.62GB, 191MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.62GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.62GB / 5.85GB, 194MB/s New Data Upload : 100%|█████████▉| 3.62GB / 3.62GB, 194MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.62GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.62GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.62GB / 3.69GB, 191MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.69GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.69GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.69GB / 3.76GB, 191MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.69GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.69GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.69GB / 3.76GB, 191MB/s  ...12-2008/model.safetensors: 64%|██████▍ | 3.76GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▍ | 3.76GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.75GB / 3.82GB, 191MB/s  ...12-2008/model.safetensors: 65%|██████▌ | 3.81GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▌ | 3.81GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 3.80GB / 3.82GB, 195MB/s  ...12-2008/model.safetensors: 65%|██████▌ | 3.82GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▌ | 3.82GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.82GB / 3.89GB, 191MB/s  ...12-2008/model.safetensors: 67%|██████▋ | 3.89GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.89GB / 5.85GB, 196MB/s New Data Upload : 100%|█████████▉| 3.89GB / 3.89GB, 196MB/s  ...12-2008/model.safetensors: 67%|██████▋ | 3.89GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.89GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.89GB / 3.96GB, 191MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.96GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.96GB / 4.02GB, 191MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.96GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.96GB / 4.02GB, 191MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.03GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.03GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 191MB/s  ...12-2008/model.safetensors: 70%|██████▉ | 4.09GB / 5.85GB  Processing Files (0 / 1) : 70%|██████▉ | 4.09GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.09GB / 4.09GB, 197MB/s  ...12-2008/model.safetensors: 70%|██████▉ | 4.09GB / 5.85GB  Processing Files (0 / 1) : 70%|██████▉ | 4.09GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.09GB / 4.16GB, 191MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.16GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.16GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.22GB, 197MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.16GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.16GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.22GB, 191MB/s  ...12-2008/model.safetensors: 72%|███████▏ | 4.23GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.23GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 4.22GB / 4.29GB, 192MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.27GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.27GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 4.26GB / 4.29GB, 194MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.29GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.29GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 191MB/s  ...12-2008/model.safetensors: 75%|███████▍ | 4.36GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▍ | 4.36GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.36GB / 4.36GB, 197MB/s  ...12-2008/model.safetensors: 75%|███████▍ | 4.36GB / 5.85GB  ...12-2008/model.safetensors: 76%|███████▌ | 4.43GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.43GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.43GB / 4.49GB, 197MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.43GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.43GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.43GB / 4.49GB, 191MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.50GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.50GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.49GB / 4.56GB, 191MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.55GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.55GB / 5.85GB, 196MB/s New Data Upload : 100%|█████████▉| 4.55GB / 4.56GB, 196MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.56GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.56GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.56GB / 4.63GB, 191MB/s  ...12-2008/model.safetensors: 79%|███████▉ | 4.63GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▉ | 4.63GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.63GB / 4.63GB, 197MB/s  ...12-2008/model.safetensors: 79%|███████▉ | 4.63GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▉ | 4.63GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.63GB / 4.69GB, 191MB/s  ...12-2008/model.safetensors: 80%|████████ | 4.70GB / 5.85GB  Processing Files (0 / 1) : 80%|████████ | 4.70GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 197MB/s  ...12-2008/model.safetensors: 80%|████████ | 4.70GB / 5.85GB  Processing Files (0 / 1) : 80%|████████ | 4.70GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 191MB/s  ...12-2008/model.safetensors: 81%|████████▏ | 4.76GB / 5.85GB  Processing Files (0 / 1) : 81%|████████▏ | 4.76GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.76GB / 4.83GB, 191MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.83GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.83GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.83GB / 4.83GB, 197MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.83GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.83GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.83GB / 4.90GB, 191MB/s  ...12-2008/model.safetensors: 84%|████████▎ | 4.90GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▎ | 4.90GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.89GB / 4.96GB, 197MB/s  ...12-2008/model.safetensors: 84%|████████▎ | 4.90GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▎ | 4.90GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.89GB / 4.96GB, 191MB/s  ...12-2008/model.safetensors: 85%|████████▍ | 4.97GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▍ | 4.97GB / 5.85GB, 196MB/s New Data Upload : 99%|█████████▊| 4.96GB / 5.03GB, 196MB/s  ...12-2008/model.safetensors: 85%|████████▌ | 4.97GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▌ | 4.97GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▉| 4.97GB / 5.03GB, 192MB/s  ...12-2008/model.safetensors: 86%|████████▌ | 5.03GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▌ | 5.03GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.03GB / 5.10GB, 191MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.10GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.10GB / 5.10GB, 197MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.10GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 191MB/s  ...12-2008/model.safetensors: 88%|████████▊ | 5.17GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.17GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.16GB / 5.23GB, 197MB/s  ...12-2008/model.safetensors: 88%|████████▊ | 5.17GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.17GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.16GB / 5.23GB, 191MB/s  ...12-2008/model.safetensors: 89%|████████▉ | 5.23GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▉ | 5.23GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▊| 5.23GB / 5.30GB, 195MB/s  ...12-2008/model.safetensors: 90%|████████▉ | 5.24GB / 5.85GB  Processing Files (0 / 1) : 90%|████████▉ | 5.24GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▉| 5.24GB / 5.30GB, 192MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.30GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.30GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.30GB / 5.36GB, 191MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.31GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.31GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▉| 5.31GB / 5.36GB, 192MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.37GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.37GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.36GB / 5.43GB, 191MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.43GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.43GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.43GB / 5.43GB, 197MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.43GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.43GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.43GB / 5.50GB, 191MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.50GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.50GB / 5.85GB, 193MB/s New Data Upload : 100%|█████████▉| 5.50GB / 5.50GB, 193MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.50GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.50GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.50GB / 5.57GB, 191MB/s  ...12-2008/model.safetensors: 95%|█████████▌| 5.57GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▌| 5.57GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.56GB / 5.63GB, 191MB/s  ...12-2008/model.safetensors: 95%|█████████▌| 5.57GB / 5.85GB  ...12-2008/model.safetensors: 96%|█████████▋| 5.64GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▋| 5.64GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.63GB / 5.70GB, 191MB/s  ...12-2008/model.safetensors: 96%|█████████▋| 5.64GB / 5.85GB  ...12-2008/model.safetensors: 97%|█████████▋| 5.70GB / 5.85GB  Processing Files (0 / 1) : 97%|█████████▋| 5.70GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.70GB / 5.77GB, 191MB/s  ...12-2008/model.safetensors: 98%|█████████▊| 5.70GB / 5.85GB  Processing Files (0 / 1) : 98%|█████████▊| 5.70GB / 5.85GB, 186MB/s New Data Upload : 99%|█████████▉| 5.70GB / 5.77GB, 186MB/s  ...12-2008/model.safetensors: 99%|█████████▊| 5.77GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▊| 5.77GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.77GB / 5.83GB, 191MB/s  ...12-2008/model.safetensors: 99%|█████████▉| 5.82GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▉| 5.82GB / 5.85GB, 189MB/s New Data Upload : 99%|█████████▉| 5.82GB / 5.85GB, 189MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 192MB/s New Data Upload : 100%|█████████▉| 5.84GB / 5.85GB, 192MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 185MB/s New Data Upload : 100%|█████████▉| 5.84GB / 5.85GB, 185MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 185MB/s New Data Upload : 100%|█████████▉| 5.84GB / 5.85GB, 185MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 172MB/s New Data Upload : 100%|██████████| 5.85GB / 5.85GB, 172MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 162MB/s New Data Upload : 100%|██████████| 5.85GB / 5.85GB, 162MB/s ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB INFO 2026-03-13 06:46:55 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 06:46:55 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 06:46:56 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. [Avatar] Pushed checkpoint (step 30000) OK [Avatar] Tagged as 'step-30000' Training: 43%|████▎ | 30001/70000 [10:37:05<215:07:00, 19.36s/step] Training: 43%|████▎ | 30002/70000 [10:37:07<155:06:42, 13.96s/step] Training: 43%|████▎ | 30003/70000 [10:37:08<112:57:08, 10.17s/step] Training: 43%|████▎ | 30004/70000 [10:37:09<83:00:20, 7.47s/step] Training: 43%|████▎ | 30005/70000 [10:37:10<62:09:15, 5.59s/step] Training: 43%|████▎ | 30006/70000 [10:37:12<47:30:44, 4.28s/step] Training: 43%|████▎ | 30007/70000 [10:37:13<37:41:28, 3.39s/step] Training: 43%|████▎ | 30008/70000 [10:37:14<30:48:00, 2.77s/step] Training: 43%|████▎ | 30009/70000 [10:37:15<25:30:32, 2.30s/step] Training: 43%|████▎ | 30010/70000 [10:37:17<22:01:21, 1.98s/step] Training: 43%|████▎ | 30011/70000 [10:37:18<19:35:27, 1.76s/step] Training: 43%|████▎ | 30012/70000 [10:37:19<17:40:26, 1.59s/step] Training: 43%|████▎ | 30013/70000 [10:37:20<16:47:31, 1.51s/step] Training: 43%|████▎ | 30014/70000 [10:37:22<16:09:10, 1.45s/step] Training: 43%|████▎ | 30015/70000 [10:37:23<15:23:06, 1.39s/step] Training: 43%|████▎ | 30016/70000 [10:37:24<15:20:27, 1.38s/step] Training: 43%|████▎ | 30017/70000 [10:37:26<14:41:15, 1.32s/step] Training: 43%|████▎ | 30018/70000 [10:37:27<14:26:29, 1.30s/step] Training: 43%|████▎ | 30019/70000 [10:37:28<14:06:44, 1.27s/step] Training: 43%|████▎ | 30020/70000 [10:37:29<13:50:38, 1.25s/step] Training: 43%|████▎ | 30021/70000 [10:37:31<14:06:33, 1.27s/step] Training: 43%|████▎ | 30022/70000 [10:37:32<14:17:07, 1.29s/step] Training: 43%|████▎ | 30023/70000 [10:37:33<14:04:04, 1.27s/step] Training: 43%|████▎ | 30024/70000 [10:37:34<14:01:21, 1.26s/step] Training: 43%|████▎ | 30025/70000 [10:37:36<13:48:52, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58032 Training: 43%|████▎ | 30026/70000 [10:37:37<13:40:36, 1.23s/step] Training: 43%|████▎ | 30027/70000 [10:37:38<14:26:46, 1.30s/step] Training: 43%|████▎ | 30028/70000 [10:37:39<14:05:02, 1.27s/step] Training: 43%|████▎ | 30029/70000 [10:37:41<13:56:52, 1.26s/step] Training: 43%|████▎ | 30030/70000 [10:37:42<13:51:18, 1.25s/step] Training: 43%|████▎ | 30031/70000 [10:37:43<14:04:32, 1.27s/step] Training: 43%|████▎ | 30032/70000 [10:37:44<14:15:14, 1.28s/step] Training: 43%|████▎ | 30033/70000 [10:37:46<13:55:25, 1.25s/step] Training: 43%|████▎ | 30034/70000 [10:37:47<13:41:21, 1.23s/step] Training: 43%|████▎ | 30035/70000 [10:37:48<14:18:56, 1.29s/step] Training: 43%|████▎ | 30036/70000 [10:37:49<13:59:19, 1.26s/step] Training: 43%|████▎ | 30037/70000 [10:37:51<13:49:17, 1.25s/step] Training: 43%|████▎ | 30038/70000 [10:37:52<13:41:48, 1.23s/step] Training: 43%|████▎ | 30039/70000 [10:37:53<14:01:54, 1.26s/step] Training: 43%|████▎ | 30040/70000 [10:37:55<14:15:14, 1.28s/step] Training: 43%|████▎ | 30041/70000 [10:37:56<13:56:04, 1.26s/step] Training: 43%|████▎ | 30042/70000 [10:37:57<13:42:29, 1.24s/step] Training: 43%|████▎ | 30043/70000 [10:37:58<14:05:15, 1.27s/step] Training: 43%|████▎ | 30044/70000 [10:37:59<13:46:52, 1.24s/step] Training: 43%|████▎ | 30045/70000 [10:38:01<14:03:21, 1.27s/step] Training: 43%|████▎ | 30046/70000 [10:38:02<14:15:12, 1.28s/step] Training: 43%|████▎ | 30047/70000 [10:38:03<14:04:37, 1.27s/step] Training: 43%|████▎ | 30048/70000 [10:38:05<14:27:59, 1.30s/step] Training: 43%|████▎ | 30049/70000 [10:38:06<14:04:31, 1.27s/step] Training: 43%|████▎ | 30050/70000 [10:38:07<13:48:10, 1.24s/step] Training: 43%|████▎ | 30051/70000 [10:38:08<14:12:23, 1.28s/step] Training: 43%|████▎ | 30052/70000 [10:38:10<13:51:29, 1.25s/step] Training: 43%|████▎ | 30053/70000 [10:38:11<14:13:25, 1.28s/step] Training: 43%|████▎ | 30054/70000 [10:38:12<14:23:19, 1.30s/step] Training: 43%|████▎ | 30055/70000 [10:38:14<14:06:28, 1.27s/step] Training: 43%|████▎ | 30056/70000 [10:38:15<14:09:05, 1.28s/step] Training: 43%|████▎ | 30057/70000 [10:38:16<13:52:29, 1.25s/step] Training: 43%|████▎ | 30058/70000 [10:38:17<13:40:07, 1.23s/step] Training: 43%|████▎ | 30059/70000 [10:38:18<13:59:13, 1.26s/step] Training: 43%|████▎ | 30060/70000 [10:38:20<14:16:15, 1.29s/step] Training: 43%|████▎ | 30061/70000 [10:38:21<14:05:01, 1.27s/step] Training: 43%|████▎ | 30062/70000 [10:38:22<13:56:22, 1.26s/step] Training: 43%|████▎ | 30063/70000 [10:38:24<14:10:23, 1.28s/step] Training: 43%|████▎ | 30064/70000 [10:38:25<14:18:49, 1.29s/step] Training: 43%|████▎ | 30065/70000 [10:38:26<13:58:12, 1.26s/step] Training: 43%|████▎ | 30066/70000 [10:38:27<13:43:54, 1.24s/step] Training: 43%|████▎ | 30067/70000 [10:38:29<14:01:06, 1.26s/step] Training: 43%|████▎ | 30068/70000 [10:38:30<14:19:16, 1.29s/step] Training: 43%|████▎ | 30069/70000 [10:38:31<14:04:14, 1.27s/step] Training: 43%|████▎ | 30070/70000 [10:38:32<13:49:56, 1.25s/step] Training: 43%|████▎ | 30071/70000 [10:38:34<14:09:56, 1.28s/step] Training: 43%|████▎ | 30072/70000 [10:38:35<14:22:45, 1.30s/step] Training: 43%|████▎ | 30073/70000 [10:38:36<14:00:57, 1.26s/step] Training: 43%|████▎ | 30074/70000 [10:38:37<13:45:40, 1.24s/step] Training: 43%|████▎ | 30075/70000 [10:38:39<14:03:12, 1.27s/step] Training: 43%|████▎ | 30076/70000 [10:38:40<14:18:43, 1.29s/step] Training: 43%|████▎ | 30077/70000 [10:38:41<14:26:09, 1.30s/step] Training: 43%|████▎ | 30078/70000 [10:38:43<14:30:34, 1.31s/step] Training: 43%|████▎ | 30079/70000 [10:38:44<14:14:50, 1.28s/step] Training: 43%|████▎ | 30080/70000 [10:38:45<14:01:55, 1.27s/step] Training: 43%|████▎ | 30081/70000 [10:38:47<14:12:36, 1.28s/step] Training: 43%|████▎ | 30082/70000 [10:38:48<13:53:57, 1.25s/step] Training: 43%|████▎ | 30083/70000 [10:38:49<13:48:43, 1.25s/step] Training: 43%|████▎ | 30084/70000 [10:38:50<14:18:05, 1.29s/step] Training: 43%|████▎ | 30085/70000 [10:38:52<14:30:33, 1.31s/step] Training: 43%|████▎ | 30086/70000 [10:38:53<14:37:16, 1.32s/step] Training: 43%|████▎ | 30087/70000 [10:38:54<14:15:58, 1.29s/step] Training: 43%|████▎ | 30088/70000 [10:38:56<14:02:08, 1.27s/step] Training: 43%|████▎ | 30089/70000 [10:38:57<14:09:25, 1.28s/step] Training: 43%|████▎ | 30090/70000 [10:38:58<13:52:23, 1.25s/step] Training: 43%|████▎ | 30091/70000 [10:38:59<14:07:42, 1.27s/step] Training: 43%|████▎ | 30092/70000 [10:39:01<13:59:55, 1.26s/step] Training: 43%|████▎ | 30093/70000 [10:39:02<13:56:28, 1.26s/step] Training: 43%|████▎ | 30094/70000 [10:39:03<13:49:40, 1.25s/step] Training: 43%|████▎ | 30095/70000 [10:39:04<14:06:45, 1.27s/step] Training: 43%|████▎ | 30096/70000 [10:39:06<14:17:30, 1.29s/step] Training: 43%|████▎ | 30097/70000 [10:39:07<13:58:12, 1.26s/step] Training: 43%|████▎ | 30098/70000 [10:39:08<13:43:41, 1.24s/step] Training: 43%|████▎ | 30099/70000 [10:39:09<14:01:16, 1.27s/step] Training: 43%|████▎ | 30100/70000 [10:39:11<13:46:36, 1.24s/step]INFO 2026-03-13 06:49:03 ot_train.py:435 step:30K smpl:2M ep:7K epch:25.51 loss:0.028 grdn:4.689 lr:1.6e-05 updt_s:1.244 data_s:0.019 Training: 43%|████▎ | 30101/70000 [10:39:12<14:09:44, 1.28s/step] Training: 43%|████▎ | 30102/70000 [10:39:13<13:53:54, 1.25s/step] Training: 43%|████▎ | 30103/70000 [10:39:14<14:08:25, 1.28s/step] Training: 43%|████▎ | 30104/70000 [10:39:16<14:18:08, 1.29s/step] Training: 43%|████▎ | 30105/70000 [10:39:17<14:21:02, 1.29s/step] Training: 43%|████▎ | 30106/70000 [10:39:18<13:58:31, 1.26s/step] Training: 43%|████▎ | 30107/70000 [10:39:20<14:11:44, 1.28s/step] Training: 43%|████▎ | 30108/70000 [10:39:21<13:53:47, 1.25s/step] Training: 43%|████▎ | 30109/70000 [10:39:22<14:36:12, 1.32s/step] Training: 43%|████▎ | 30110/70000 [10:39:24<14:38:45, 1.32s/step] Training: 43%|████▎ | 30111/70000 [10:39:25<14:18:29, 1.29s/step] Training: 43%|████▎ | 30112/70000 [10:39:26<14:05:04, 1.27s/step] Training: 43%|████▎ | 30113/70000 [10:39:27<14:19:10, 1.29s/step] Training: 43%|████▎ | 30114/70000 [10:39:29<14:01:57, 1.27s/step] Training: 43%|████▎ | 30115/70000 [10:39:30<14:07:58, 1.28s/step] Training: 43%|████▎ | 30116/70000 [10:39:31<13:56:10, 1.26s/step] Training: 43%|████▎ | 30117/70000 [10:39:32<14:21:50, 1.30s/step] Training: 43%|████▎ | 30118/70000 [10:39:34<14:26:32, 1.30s/step] Training: 43%|████▎ | 30119/70000 [10:39:35<14:08:28, 1.28s/step] Training: 43%|████▎ | 30120/70000 [10:39:36<13:56:11, 1.26s/step] Training: 43%|████▎ | 30121/70000 [10:39:37<13:50:38, 1.25s/step] Training: 43%|████▎ | 30122/70000 [10:39:39<13:39:22, 1.23s/step] Training: 43%|████▎ | 30123/70000 [10:39:40<14:02:43, 1.27s/step] Training: 43%|████▎ | 30124/70000 [10:39:41<13:48:18, 1.25s/step] Training: 43%|████▎ | 30125/70000 [10:39:43<14:22:13, 1.30s/step] Training: 43%|████▎ | 30126/70000 [10:39:44<14:06:41, 1.27s/step] Training: 43%|████▎ | 30127/70000 [10:39:45<14:18:31, 1.29s/step] Training: 43%|████▎ | 30128/70000 [10:39:47<14:25:40, 1.30s/step] Training: 43%|████▎ | 30129/70000 [10:39:48<14:29:28, 1.31s/step] Training: 43%|████▎ | 30130/70000 [10:39:49<14:05:42, 1.27s/step] Training: 43%|████▎ | 30131/70000 [10:39:50<14:25:20, 1.30s/step] Training: 43%|████▎ | 30132/70000 [10:39:52<14:04:15, 1.27s/step] Training: 43%|████▎ | 30133/70000 [10:39:53<13:56:21, 1.26s/step] Training: 43%|████▎ | 30134/70000 [10:39:54<14:13:09, 1.28s/step] Training: 43%|████▎ | 30135/70000 [10:39:55<14:21:08, 1.30s/step] Training: 43%|████▎ | 30136/70000 [10:39:57<14:28:27, 1.31s/step] Training: 43%|████▎ | 30137/70000 [10:39:58<14:33:52, 1.32s/step] Training: 43%|████▎ | 30138/70000 [10:39:59<14:09:17, 1.28s/step] Training: 43%|████▎ | 30139/70000 [10:40:01<14:31:51, 1.31s/step] Training: 43%|████▎ | 30140/70000 [10:40:02<14:09:01, 1.28s/step] Training: 43%|████▎ | 30141/70000 [10:40:03<14:20:44, 1.30s/step] Training: 43%|████▎ | 30142/70000 [10:40:05<14:49:02, 1.34s/step] Training: 43%|████▎ | 30143/70000 [10:40:06<14:25:39, 1.30s/step] Training: 43%|████▎ | 30144/70000 [10:40:07<14:12:36, 1.28s/step] Training: 43%|████▎ | 30145/70000 [10:40:09<14:30:14, 1.31s/step] Training: 43%|████▎ | 30146/70000 [10:40:10<14:11:09, 1.28s/step] Training: 43%|████▎ | 30147/70000 [10:40:11<14:16:21, 1.29s/step] Training: 43%|████▎ | 30148/70000 [10:40:12<14:05:53, 1.27s/step] Training: 43%|████▎ | 30149/70000 [10:40:14<14:21:57, 1.30s/step] Training: 43%|████▎ | 30150/70000 [10:40:15<14:48:21, 1.34s/step] Training: 43%|████▎ | 30151/70000 [10:40:16<14:22:15, 1.30s/step] Training: 43%|████▎ | 30152/70000 [10:40:17<14:03:39, 1.27s/step] Training: 43%|████▎ | 30153/70000 [10:40:19<13:52:22, 1.25s/step] Training: 43%|████▎ | 30154/70000 [10:40:20<13:39:26, 1.23s/step] Training: 43%|████▎ | 30155/70000 [10:40:21<13:59:18, 1.26s/step] Training: 43%|████▎ | 30156/70000 [10:40:22<13:44:36, 1.24s/step] Training: 43%|████▎ | 30157/70000 [10:40:24<13:42:14, 1.24s/step] Training: 43%|████▎ | 30158/70000 [10:40:25<14:15:37, 1.29s/step] Training: 43%|████▎ | 30159/70000 [10:40:26<14:22:28, 1.30s/step] Training: 43%|████▎ | 30160/70000 [10:40:28<14:29:18, 1.31s/step] Training: 43%|████▎ | 30161/70000 [10:40:29<14:33:38, 1.32s/step] Training: 43%|████▎ | 30162/70000 [10:40:30<14:09:06, 1.28s/step] Training: 43%|████▎ | 30163/70000 [10:40:32<14:18:47, 1.29s/step] Training: 43%|████▎ | 30164/70000 [10:40:33<13:59:34, 1.26s/step] Training: 43%|████▎ | 30165/70000 [10:40:34<13:50:23, 1.25s/step] Training: 43%|████▎ | 30166/70000 [10:40:35<13:51:31, 1.25s/step] Training: 43%|████▎ | 30167/70000 [10:40:37<14:04:09, 1.27s/step] Training: 43%|████▎ | 30168/70000 [10:40:38<14:15:58, 1.29s/step] Training: 43%|████▎ | 30169/70000 [10:40:39<14:23:24, 1.30s/step] Training: 43%|████▎ | 30170/70000 [10:40:40<14:02:15, 1.27s/step] Training: 43%|████▎ | 30171/70000 [10:40:42<13:54:36, 1.26s/step] Training: 43%|████▎ | 30172/70000 [10:40:43<13:41:41, 1.24s/step] Training: 43%|████▎ | 30173/70000 [10:40:44<14:00:35, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=38113 Training: 43%|████▎ | 30174/70000 [10:40:45<14:12:32, 1.28s/step] Training: 43%|████▎ | 30175/70000 [10:40:47<14:27:28, 1.31s/step] Training: 43%|████▎ | 30176/70000 [10:40:48<14:11:32, 1.28s/step] Training: 43%|████▎ | 30177/70000 [10:40:49<14:23:26, 1.30s/step] Training: 43%|████▎ | 30178/70000 [10:40:51<14:05:03, 1.27s/step] Training: 43%|████▎ | 30179/70000 [10:40:52<14:03:19, 1.27s/step] Training: 43%|████▎ | 30180/70000 [10:40:53<13:50:32, 1.25s/step] Training: 43%|████▎ | 30181/70000 [10:40:54<14:09:49, 1.28s/step] Training: 43%|████▎ | 30182/70000 [10:40:56<14:19:12, 1.29s/step] Training: 43%|████▎ | 30183/70000 [10:40:57<14:16:08, 1.29s/step] Training: 43%|████▎ | 30184/70000 [10:40:58<13:59:52, 1.27s/step] Training: 43%|████▎ | 30185/70000 [10:40:59<13:48:04, 1.25s/step] Training: 43%|████▎ | 30186/70000 [10:41:01<13:36:30, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=57500 Training: 43%|████▎ | 30187/70000 [10:41:02<13:28:05, 1.22s/step] Training: 43%|████▎ | 30188/70000 [10:41:03<13:49:31, 1.25s/step] Training: 43%|████▎ | 30189/70000 [10:41:04<14:01:33, 1.27s/step] Training: 43%|████▎ | 30190/70000 [10:41:06<13:54:51, 1.26s/step] Training: 43%|████▎ | 30191/70000 [10:41:07<14:10:12, 1.28s/step] Training: 43%|████▎ | 30192/70000 [10:41:08<14:37:08, 1.32s/step] Training: 43%|████▎ | 30193/70000 [10:41:10<14:38:09, 1.32s/step] Training: 43%|████▎ | 30194/70000 [10:41:11<14:11:09, 1.28s/step] Training: 43%|████▎ | 30195/70000 [10:41:12<14:21:16, 1.30s/step] Training: 43%|████▎ | 30196/70000 [10:41:14<14:00:00, 1.27s/step] Training: 43%|████▎ | 30197/70000 [10:41:15<14:11:22, 1.28s/step] Training: 43%|████▎ | 30198/70000 [10:41:16<13:55:35, 1.26s/step] Training: 43%|████▎ | 30199/70000 [10:41:17<14:15:08, 1.29s/step] Training: 43%|████▎ | 30200/70000 [10:41:19<14:22:16, 1.30s/step]INFO 2026-03-13 06:51:11 ot_train.py:435 step:30K smpl:2M ep:7K epch:25.60 loss:0.028 grdn:3.928 lr:1.6e-05 updt_s:1.261 data_s:0.018 Training: 43%|████▎ | 30201/70000 [10:41:20<14:28:56, 1.31s/step] Training: 43%|████▎ | 30202/70000 [10:41:21<14:05:02, 1.27s/step] Training: 43%|████▎ | 30203/70000 [10:41:22<13:53:32, 1.26s/step] Training: 43%|████▎ | 30204/70000 [10:41:24<13:40:39, 1.24s/step] Training: 43%|████▎ | 30205/70000 [10:41:25<14:00:48, 1.27s/step] Training: 43%|████▎ | 30206/70000 [10:41:26<14:15:12, 1.29s/step] Training: 43%|████▎ | 30207/70000 [10:41:28<14:08:41, 1.28s/step] Training: 43%|████▎ | 30208/70000 [10:41:29<14:28:35, 1.31s/step] Training: 43%|████▎ | 30209/70000 [10:41:30<14:39:36, 1.33s/step] Training: 43%|████▎ | 30210/70000 [10:41:32<14:16:01, 1.29s/step] Training: 43%|████▎ | 30211/70000 [10:41:33<14:12:50, 1.29s/step] Training: 43%|████▎ | 30212/70000 [10:41:34<13:55:09, 1.26s/step] Training: 43%|████▎ | 30213/70000 [10:41:35<14:10:23, 1.28s/step] Training: 43%|████▎ | 30214/70000 [10:41:37<14:20:39, 1.30s/step] Training: 43%|████▎ | 30215/70000 [10:41:38<14:02:58, 1.27s/step] Training: 43%|████▎ | 30216/70000 [10:41:39<14:18:59, 1.30s/step] Training: 43%|████▎ | 30217/70000 [10:41:40<14:03:04, 1.27s/step] Training: 43%|████▎ | 30218/70000 [10:41:42<13:46:46, 1.25s/step] Training: 43%|████▎ | 30219/70000 [10:41:43<13:34:55, 1.23s/step] Training: 43%|████▎ | 30220/70000 [10:41:44<13:53:59, 1.26s/step] Training: 43%|████▎ | 30221/70000 [10:41:46<14:19:54, 1.30s/step] Training: 43%|████▎ | 30222/70000 [10:41:47<14:08:44, 1.28s/step] Training: 43%|████▎ | 30223/70000 [10:41:48<14:19:48, 1.30s/step] Training: 43%|████▎ | 30224/70000 [10:41:49<14:26:03, 1.31s/step] Training: 43%|████▎ | 30225/70000 [10:41:51<14:33:57, 1.32s/step] Training: 43%|████▎ | 30226/70000 [10:41:52<14:08:06, 1.28s/step] Training: 43%|████▎ | 30227/70000 [10:41:53<13:50:20, 1.25s/step] Training: 43%|████▎ | 30228/70000 [10:41:54<13:37:31, 1.23s/step] Training: 43%|████▎ | 30229/70000 [10:41:56<13:55:28, 1.26s/step] Training: 43%|████▎ | 30230/70000 [10:41:57<13:45:54, 1.25s/step] Training: 43%|████▎ | 30231/70000 [10:41:58<14:02:52, 1.27s/step] Training: 43%|████▎ | 30232/70000 [10:42:00<14:23:52, 1.30s/step] Training: 43%|████▎ | 30233/70000 [10:42:01<14:28:34, 1.31s/step] Training: 43%|████▎ | 30234/70000 [10:42:02<14:04:11, 1.27s/step] Training: 43%|████▎ | 30235/70000 [10:42:03<13:58:44, 1.27s/step] Training: 43%|████▎ | 30236/70000 [10:42:05<13:43:30, 1.24s/step] Training: 43%|████▎ | 30237/70000 [10:42:06<14:03:28, 1.27s/step] Training: 43%|████▎ | 30238/70000 [10:42:07<14:17:11, 1.29s/step] Training: 43%|████▎ | 30239/70000 [10:42:08<14:07:44, 1.28s/step] Training: 43%|████▎ | 30240/70000 [10:42:10<14:08:41, 1.28s/step] Training: 43%|████▎ | 30241/70000 [10:42:11<14:24:23, 1.30s/step] Training: 43%|████▎ | 30242/70000 [10:42:12<14:04:43, 1.27s/step] Training: 43%|████▎ | 30243/70000 [10:42:14<13:56:07, 1.26s/step] Training: 43%|████▎ | 30244/70000 [10:42:15<13:42:23, 1.24s/step] Training: 43%|████▎ | 30245/70000 [10:42:16<13:59:56, 1.27s/step] Training: 43%|████▎ | 30246/70000 [10:42:18<14:30:24, 1.31s/step] Training: 43%|████▎ | 30247/70000 [10:42:19<14:09:22, 1.28s/step] Training: 43%|████▎ | 30248/70000 [10:42:20<13:54:55, 1.26s/step] Training: 43%|████▎ | 30249/70000 [10:42:21<14:13:41, 1.29s/step] Training: 43%|████▎ | 30250/70000 [10:42:22<13:51:28, 1.26s/step] Training: 43%|████▎ | 30251/70000 [10:42:24<14:07:52, 1.28s/step] Training: 43%|████▎ | 30252/70000 [10:42:25<13:51:01, 1.25s/step] Training: 43%|████▎ | 30253/70000 [10:42:26<14:05:51, 1.28s/step] Training: 43%|████▎ | 30254/70000 [10:42:28<14:13:01, 1.29s/step] Training: 43%|████▎ | 30255/70000 [10:42:29<14:19:44, 1.30s/step] Training: 43%|████▎ | 30256/70000 [10:42:30<14:26:22, 1.31s/step] Training: 43%|████▎ | 30257/70000 [10:42:32<14:46:08, 1.34s/step] Training: 43%|████▎ | 30258/70000 [10:42:33<14:16:38, 1.29s/step] Training: 43%|████▎ | 30259/70000 [10:42:34<14:23:40, 1.30s/step] Training: 43%|████▎ | 30260/70000 [10:42:35<14:01:30, 1.27s/step] Training: 43%|████▎ | 30261/70000 [10:42:37<14:13:16, 1.29s/step] Training: 43%|████▎ | 30262/70000 [10:42:38<13:59:38, 1.27s/step] Training: 43%|████▎ | 30263/70000 [10:42:39<14:12:34, 1.29s/step] Training: 43%|████▎ | 30264/70000 [10:42:41<14:20:49, 1.30s/step] Training: 43%|████▎ | 30265/70000 [10:42:42<14:35:07, 1.32s/step] Training: 43%|████▎ | 30266/70000 [10:42:43<14:06:12, 1.28s/step] Training: 43%|████▎ | 30267/70000 [10:42:44<13:56:45, 1.26s/step] Training: 43%|████▎ | 30268/70000 [10:42:46<13:42:46, 1.24s/step] Training: 43%|████▎ | 30269/70000 [10:42:47<13:36:20, 1.23s/step] Training: 43%|████▎ | 30270/70000 [10:42:48<13:58:02, 1.27s/step] Training: 43%|████▎ | 30271/70000 [10:42:49<13:58:49, 1.27s/step] Training: 43%|████▎ | 30272/70000 [10:42:51<13:51:24, 1.26s/step] Training: 43%|████▎ | 30273/70000 [10:42:52<14:18:44, 1.30s/step] Training: 43%|████▎ | 30274/70000 [10:42:53<13:57:26, 1.26s/step] Training: 43%|████▎ | 30275/70000 [10:42:54<13:53:19, 1.26s/step] Training: 43%|████▎ | 30276/70000 [10:42:56<13:42:39, 1.24s/step] Training: 43%|████▎ | 30277/70000 [10:42:57<14:02:05, 1.27s/step] Training: 43%|████▎ | 30278/70000 [10:42:58<14:19:46, 1.30s/step] Training: 43%|████▎ | 30279/70000 [10:43:00<14:02:17, 1.27s/step] Training: 43%|████▎ | 30280/70000 [10:43:01<13:51:24, 1.26s/step] Training: 43%|████▎ | 30281/70000 [10:43:02<13:48:37, 1.25s/step] Training: 43%|████▎ | 30282/70000 [10:43:03<14:06:17, 1.28s/step] Training: 43%|████▎ | 30283/70000 [10:43:05<14:15:07, 1.29s/step] Training: 43%|████▎ | 30284/70000 [10:43:06<13:56:11, 1.26s/step] Training: 43%|████▎ | 30285/70000 [10:43:07<14:09:29, 1.28s/step] Training: 43%|████▎ | 30286/70000 [10:43:08<14:03:17, 1.27s/step] Training: 43%|████▎ | 30287/70000 [10:43:10<14:13:47, 1.29s/step] Training: 43%|████▎ | 30288/70000 [10:43:11<14:21:15, 1.30s/step] Training: 43%|████▎ | 30289/70000 [10:43:13<14:30:21, 1.32s/step] Training: 43%|████▎ | 30290/70000 [10:43:14<14:35:37, 1.32s/step] Training: 43%|████▎ | 30291/70000 [10:43:15<14:35:23, 1.32s/step] Training: 43%|████▎ | 30292/70000 [10:43:16<14:09:03, 1.28s/step] Training: 43%|████▎ | 30293/70000 [10:43:18<14:17:06, 1.30s/step] Training: 43%|████▎ | 30294/70000 [10:43:19<14:24:59, 1.31s/step] Training: 43%|████▎ | 30295/70000 [10:43:20<14:28:38, 1.31s/step] Training: 43%|████▎ | 30296/70000 [10:43:22<14:30:09, 1.31s/step] Training: 43%|████▎ | 30297/70000 [10:43:23<14:36:00, 1.32s/step] Training: 43%|████▎ | 30298/70000 [10:43:24<14:20:02, 1.30s/step] Training: 43%|████▎ | 30299/70000 [10:43:25<14:06:09, 1.28s/step] Training: 43%|████▎ | 30300/70000 [10:43:27<13:48:06, 1.25s/step]INFO 2026-03-13 06:53:19 ot_train.py:435 step:30K smpl:2M ep:7K epch:25.68 loss:0.030 grdn:4.397 lr:1.6e-05 updt_s:1.258 data_s:0.019 Training: 43%|████▎ | 30301/70000 [10:43:28<13:40:18, 1.24s/step] Training: 43%|████▎ | 30302/70000 [10:43:29<13:57:45, 1.27s/step] Training: 43%|████▎ | 30303/70000 [10:43:30<13:48:31, 1.25s/step] Training: 43%|████▎ | 30304/70000 [10:43:32<13:42:18, 1.24s/step] Training: 43%|████▎ | 30305/70000 [10:43:33<14:01:47, 1.27s/step] Training: 43%|████▎ | 30306/70000 [10:43:34<13:59:42, 1.27s/step] Training: 43%|████▎ | 30307/70000 [10:43:35<13:52:48, 1.26s/step] Training: 43%|████▎ | 30308/70000 [10:43:37<13:44:00, 1.25s/step] Training: 43%|████▎ | 30309/70000 [10:43:38<14:00:03, 1.27s/step] Training: 43%|████▎ | 30310/70000 [10:43:39<14:15:04, 1.29s/step] Training: 43%|████▎ | 30311/70000 [10:43:41<14:05:40, 1.28s/step] Training: 43%|████▎ | 30312/70000 [10:43:42<13:56:07, 1.26s/step] Training: 43%|████▎ | 30313/70000 [10:43:43<13:46:25, 1.25s/step] Training: 43%|████▎ | 30314/70000 [10:43:44<13:33:51, 1.23s/step] Training: 43%|████▎ | 30315/70000 [10:43:46<13:55:53, 1.26s/step] Training: 43%|████▎ | 30316/70000 [10:43:47<14:06:39, 1.28s/step] Training: 43%|████▎ | 30317/70000 [10:43:48<14:16:42, 1.30s/step] Training: 43%|████▎ | 30318/70000 [10:43:49<14:04:48, 1.28s/step] Training: 43%|████▎ | 30319/70000 [10:43:51<13:47:23, 1.25s/step] Training: 43%|████▎ | 30320/70000 [10:43:52<14:33:04, 1.32s/step] Training: 43%|████▎ | 30321/70000 [10:43:53<14:36:46, 1.33s/step] Training: 43%|████▎ | 30322/70000 [10:43:55<14:09:41, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=57500 Training: 43%|████▎ | 30323/70000 [10:43:56<14:04:25, 1.28s/step] Training: 43%|████▎ | 30324/70000 [10:43:57<14:01:34, 1.27s/step] Training: 43%|████▎ | 30325/70000 [10:43:59<14:12:09, 1.29s/step] Training: 43%|████▎ | 30326/70000 [10:44:00<14:20:21, 1.30s/step] Training: 43%|████▎ | 30327/70000 [10:44:01<13:58:05, 1.27s/step] Training: 43%|████▎ | 30328/70000 [10:44:02<14:10:54, 1.29s/step] Training: 43%|████▎ | 30329/70000 [10:44:04<14:21:44, 1.30s/step] Training: 43%|████▎ | 30330/70000 [10:44:05<13:59:07, 1.27s/step] Training: 43%|████▎ | 30331/70000 [10:44:06<13:55:16, 1.26s/step] Training: 43%|████▎ | 30332/70000 [10:44:07<13:43:04, 1.24s/step] Training: 43%|████▎ | 30333/70000 [10:44:09<13:34:50, 1.23s/step] Training: 43%|████▎ | 30334/70000 [10:44:10<13:54:31, 1.26s/step] Training: 43%|████▎ | 30335/70000 [10:44:11<13:43:04, 1.25s/step] Training: 43%|████▎ | 30336/70000 [10:44:12<13:40:46, 1.24s/step] Training: 43%|████▎ | 30337/70000 [10:44:14<14:04:27, 1.28s/step] Training: 43%|████▎ | 30338/70000 [10:44:15<13:49:30, 1.25s/step] Training: 43%|████▎ | 30339/70000 [10:44:16<13:39:06, 1.24s/step] Training: 43%|████▎ | 30340/70000 [10:44:18<14:29:37, 1.32s/step] Training: 43%|████▎ | 30341/70000 [10:44:19<14:32:25, 1.32s/step] Training: 43%|████▎ | 30342/70000 [10:44:20<14:37:31, 1.33s/step] Training: 43%|████▎ | 30343/70000 [10:44:21<14:18:08, 1.30s/step] Training: 43%|████▎ | 30344/70000 [10:44:23<14:01:07, 1.27s/step] Training: 43%|████▎ | 30345/70000 [10:44:24<13:49:19, 1.25s/step] Training: 43%|████▎ | 30346/70000 [10:44:25<13:36:54, 1.24s/step] Training: 43%|████▎ | 30347/70000 [10:44:26<13:27:52, 1.22s/step] Training: 43%|████▎ | 30348/70000 [10:44:28<14:08:09, 1.28s/step] Training: 43%|████▎ | 30349/70000 [10:44:29<14:17:15, 1.30s/step] Training: 43%|████▎ | 30350/70000 [10:44:30<14:03:08, 1.28s/step] Training: 43%|████▎ | 30351/70000 [10:44:31<13:46:10, 1.25s/step] Training: 43%|████▎ | 30352/70000 [10:44:33<14:26:07, 1.31s/step] Training: 43%|████▎ | 30353/70000 [10:44:34<14:29:29, 1.32s/step] Training: 43%|████▎ | 30354/70000 [10:44:35<14:04:24, 1.28s/step] Training: 43%|████▎ | 30355/70000 [10:44:37<13:47:13, 1.25s/step] Training: 43%|████▎ | 30356/70000 [10:44:38<14:09:31, 1.29s/step] Training: 43%|████▎ | 30357/70000 [10:44:39<14:17:55, 1.30s/step] Training: 43%|████▎ | 30358/70000 [10:44:41<14:23:56, 1.31s/step] Training: 43%|████▎ | 30359/70000 [10:44:42<14:27:50, 1.31s/step] Training: 43%|████▎ | 30360/70000 [10:44:43<14:28:53, 1.32s/step] Training: 43%|████▎ | 30361/70000 [10:44:45<14:32:07, 1.32s/step] Training: 43%|████▎ | 30362/70000 [10:44:46<14:05:53, 1.28s/step] Training: 43%|████▎ | 30363/70000 [10:44:47<13:47:54, 1.25s/step] Training: 43%|████▎ | 30364/70000 [10:44:48<14:08:07, 1.28s/step] Training: 43%|████▎ | 30365/70000 [10:44:50<13:54:05, 1.26s/step] Training: 43%|████▎ | 30366/70000 [10:44:51<14:08:25, 1.28s/step] Training: 43%|████▎ | 30367/70000 [10:44:52<13:53:31, 1.26s/step] Training: 43%|████▎ | 30368/70000 [10:44:53<13:46:17, 1.25s/step] Training: 43%|████▎ | 30369/70000 [10:44:55<14:01:47, 1.27s/step] Training: 43%|████▎ | 30370/70000 [10:44:56<13:48:29, 1.25s/step] Training: 43%|████▎ | 30371/70000 [10:44:57<13:37:06, 1.24s/step] Training: 43%|████▎ | 30372/70000 [10:44:58<14:03:54, 1.28s/step] Training: 43%|████▎ | 30373/70000 [10:45:00<14:39:59, 1.33s/step] Training: 43%|████▎ | 30374/70000 [10:45:01<14:41:08, 1.33s/step] Training: 43%|████▎ | 30375/70000 [10:45:02<14:21:04, 1.30s/step] Training: 43%|████▎ | 30376/70000 [10:45:04<14:02:40, 1.28s/step] Training: 43%|████▎ | 30377/70000 [10:45:05<13:53:47, 1.26s/step] Training: 43%|████▎ | 30378/70000 [10:45:06<13:39:50, 1.24s/step] Training: 43%|████▎ | 30379/70000 [10:45:07<13:29:33, 1.23s/step] Training: 43%|████▎ | 30380/70000 [10:45:09<13:51:04, 1.26s/step] Training: 43%|████▎ | 30381/70000 [10:45:10<14:22:24, 1.31s/step] Training: 43%|████▎ | 30382/70000 [10:45:11<14:04:17, 1.28s/step] Training: 43%|████▎ | 30383/70000 [10:45:12<13:47:18, 1.25s/step] Training: 43%|████▎ | 30384/70000 [10:45:14<14:27:50, 1.31s/step] Training: 43%|████▎ | 30385/70000 [10:45:15<14:28:03, 1.31s/step] Training: 43%|████▎ | 30386/70000 [10:45:16<14:03:06, 1.28s/step] Training: 43%|████▎ | 30387/70000 [10:45:18<13:46:00, 1.25s/step] Training: 43%|████▎ | 30388/70000 [10:45:19<14:02:32, 1.28s/step] Training: 43%|████▎ | 30389/70000 [10:45:20<14:34:09, 1.32s/step] Training: 43%|████▎ | 30390/70000 [10:45:22<14:35:16, 1.33s/step] Training: 43%|████▎ | 30391/70000 [10:45:23<14:08:12, 1.28s/step] Training: 43%|████▎ | 30392/70000 [10:45:24<14:16:08, 1.30s/step] Training: 43%|████▎ | 30393/70000 [10:45:26<14:20:36, 1.30s/step] Training: 43%|████▎ | 30394/70000 [10:45:27<13:57:41, 1.27s/step] Training: 43%|████▎ | 30395/70000 [10:45:28<13:41:47, 1.24s/step] Training: 43%|████▎ | 30396/70000 [10:45:29<13:33:42, 1.23s/step] Training: 43%|████▎ | 30397/70000 [10:45:31<14:00:35, 1.27s/step] Training: 43%|████▎ | 30398/70000 [10:45:32<14:11:28, 1.29s/step] Training: 43%|████▎ | 30399/70000 [10:45:33<13:57:46, 1.27s/step] Training: 43%|████▎ | 30400/70000 [10:45:34<13:49:40, 1.26s/step]INFO 2026-03-13 06:55:26 ot_train.py:435 step:30K smpl:2M ep:7K epch:25.77 loss:0.030 grdn:3.696 lr:1.5e-05 updt_s:1.255 data_s:0.019 Training: 43%|████▎ | 30401/70000 [10:45:36<14:04:47, 1.28s/step] Training: 43%|████▎ | 30402/70000 [10:45:37<13:47:35, 1.25s/step] Training: 43%|████▎ | 30403/70000 [10:45:38<13:34:46, 1.23s/step] Training: 43%|████▎ | 30404/70000 [10:45:39<13:53:34, 1.26s/step] Training: 43%|████▎ | 30405/70000 [10:45:41<14:06:45, 1.28s/step] Training: 43%|████▎ | 30406/70000 [10:45:42<14:16:22, 1.30s/step] Training: 43%|████▎ | 30407/70000 [10:45:43<13:59:04, 1.27s/step] Training: 43%|████▎ | 30408/70000 [10:45:44<13:46:19, 1.25s/step] Training: 43%|████▎ | 30409/70000 [10:45:46<13:37:29, 1.24s/step] Training: 43%|████▎ | 30410/70000 [10:45:47<13:26:54, 1.22s/step] Training: 43%|████▎ | 30411/70000 [10:45:48<13:19:56, 1.21s/step] Training: 43%|████▎ | 30412/70000 [10:45:49<13:43:04, 1.25s/step] Training: 43%|████▎ | 30413/70000 [10:45:51<13:57:57, 1.27s/step] Training: 43%|████▎ | 30414/70000 [10:45:52<14:13:14, 1.29s/step] Training: 43%|████▎ | 30415/70000 [10:45:53<14:19:31, 1.30s/step] Training: 43%|████▎ | 30416/70000 [10:45:55<14:25:38, 1.31s/step] Training: 43%|████▎ | 30417/70000 [10:45:56<14:27:28, 1.31s/step] Training: 43%|████▎ | 30418/70000 [10:45:57<14:01:50, 1.28s/step] Training: 43%|████▎ | 30419/70000 [10:45:58<13:44:35, 1.25s/step] Training: 43%|████▎ | 30420/70000 [10:46:00<13:41:16, 1.24s/step] Training: 43%|████▎ | 30421/70000 [10:46:01<13:56:54, 1.27s/step] Training: 43%|████▎ | 30422/70000 [10:46:02<14:31:03, 1.32s/step] Training: 43%|████▎ | 30423/70000 [10:46:04<14:32:14, 1.32s/step] Training: 43%|████▎ | 30424/70000 [10:46:05<14:05:30, 1.28s/step] Training: 43%|████▎ | 30425/70000 [10:46:06<14:34:39, 1.33s/step] Training: 43%|████▎ | 30426/70000 [10:46:07<14:07:56, 1.29s/step] Training: 43%|████▎ | 30427/70000 [10:46:09<13:51:10, 1.26s/step] Training: 43%|████▎ | 30428/70000 [10:46:10<13:42:46, 1.25s/step] Training: 43%|████▎ | 30429/70000 [10:46:11<13:37:04, 1.24s/step] Training: 43%|████▎ | 30430/70000 [10:46:13<14:07:53, 1.29s/step] Training: 43%|████▎ | 30431/70000 [10:46:14<13:54:51, 1.27s/step] Training: 43%|████▎ | 30432/70000 [10:46:15<13:40:20, 1.24s/step] Training: 43%|████▎ | 30433/70000 [10:46:16<14:18:10, 1.30s/step] Training: 43%|████▎ | 30434/70000 [10:46:18<13:56:28, 1.27s/step] Training: 43%|████▎ | 30435/70000 [10:46:19<13:41:07, 1.25s/step] Training: 43%|████▎ | 30436/70000 [10:46:20<13:59:33, 1.27s/step] Training: 43%|████▎ | 30437/70000 [10:46:21<14:11:51, 1.29s/step] Training: 43%|████▎ | 30438/70000 [10:46:23<14:20:05, 1.30s/step] Training: 43%|████▎ | 30439/70000 [10:46:24<14:29:08, 1.32s/step] Training: 43%|████▎ | 30440/70000 [10:46:25<14:02:17, 1.28s/step] Training: 43%|████▎ | 30441/70000 [10:46:26<13:48:23, 1.26s/step] Training: 43%|████▎ | 30442/70000 [10:46:28<13:35:45, 1.24s/step] Training: 43%|████▎ | 30443/70000 [10:46:29<13:26:28, 1.22s/step] Training: 43%|████▎ | 30444/70000 [10:46:30<13:50:19, 1.26s/step] Training: 43%|████▎ | 30445/70000 [10:46:32<14:03:17, 1.28s/step] Training: 43%|████▎ | 30446/70000 [10:46:33<13:53:21, 1.26s/step] Training: 43%|████▎ | 30447/70000 [10:46:34<14:29:28, 1.32s/step] Training: 43%|████▎ | 30448/70000 [10:46:35<14:04:20, 1.28s/step] Training: 43%|████▎ | 30449/70000 [10:46:37<14:36:12, 1.33s/step] Training: 44%|████▎ | 30450/70000 [10:46:38<14:08:38, 1.29s/step] Training: 44%|████▎ | 30451/70000 [10:46:39<13:49:33, 1.26s/step] Training: 44%|████▎ | 30452/70000 [10:46:40<13:42:53, 1.25s/step] Training: 44%|████▎ | 30453/70000 [10:46:42<13:32:12, 1.23s/step] Training: 44%|████▎ | 30454/70000 [10:46:43<14:13:21, 1.29s/step] Training: 44%|████▎ | 30455/70000 [10:46:44<14:21:27, 1.31s/step] Training: 44%|████▎ | 30456/70000 [10:46:46<13:58:08, 1.27s/step] Training: 44%|████▎ | 30457/70000 [10:46:47<14:11:20, 1.29s/step] Training: 44%|████▎ | 30458/70000 [10:46:48<13:50:55, 1.26s/step] Training: 44%|████▎ | 30459/70000 [10:46:49<13:36:51, 1.24s/step] Training: 44%|████▎ | 30460/70000 [10:46:51<13:31:54, 1.23s/step] Training: 44%|████▎ | 30461/70000 [10:46:52<13:24:04, 1.22s/step] Training: 44%|████▎ | 30462/70000 [10:46:53<14:08:43, 1.29s/step] Training: 44%|████▎ | 30463/70000 [10:46:54<13:57:26, 1.27s/step] Training: 44%|████▎ | 30464/70000 [10:46:56<13:43:01, 1.25s/step] Training: 44%|████▎ | 30465/70000 [10:46:57<13:44:16, 1.25s/step] Training: 44%|████▎ | 30466/70000 [10:46:58<13:33:13, 1.23s/step] Training: 44%|████▎ | 30467/70000 [10:46:59<13:25:26, 1.22s/step] Training: 44%|████▎ | 30468/70000 [10:47:01<13:47:30, 1.26s/step] Training: 44%|████▎ | 30469/70000 [10:47:02<14:02:04, 1.28s/step] Training: 44%|████▎ | 30470/70000 [10:47:03<14:12:07, 1.29s/step] Training: 44%|████▎ | 30471/70000 [10:47:05<14:06:11, 1.28s/step] Training: 44%|████▎ | 30472/70000 [10:47:06<13:47:22, 1.26s/step] Training: 44%|████▎ | 30473/70000 [10:47:07<14:02:40, 1.28s/step] Training: 44%|████▎ | 30474/70000 [10:47:08<13:44:51, 1.25s/step] Training: 44%|████▎ | 30475/70000 [10:47:09<13:32:32, 1.23s/step] Training: 44%|████▎ | 30476/70000 [10:47:11<13:51:51, 1.26s/step] Training: 44%|████▎ | 30477/70000 [10:47:12<14:03:39, 1.28s/step] Training: 44%|████▎ | 30478/70000 [10:47:13<13:53:45, 1.27s/step] Training: 44%|████▎ | 30479/70000 [10:47:15<14:08:27, 1.29s/step] Training: 44%|████▎ | 30480/70000 [10:47:16<14:47:59, 1.35s/step] Training: 44%|████▎ | 30481/70000 [10:47:17<14:43:28, 1.34s/step] Training: 44%|████▎ | 30482/70000 [10:47:19<14:13:52, 1.30s/step] Training: 44%|████▎ | 30483/70000 [10:47:20<13:53:03, 1.26s/step] Training: 44%|████▎ | 30484/70000 [10:47:21<13:49:25, 1.26s/step] Training: 44%|████▎ | 30485/70000 [10:47:22<13:45:58, 1.25s/step] Training: 44%|████▎ | 30486/70000 [10:47:24<14:04:37, 1.28s/step] Training: 44%|████▎ | 30487/70000 [10:47:25<14:22:42, 1.31s/step] Training: 44%|████▎ | 30488/70000 [10:47:26<14:13:05, 1.30s/step] Training: 44%|████▎ | 30489/70000 [10:47:28<14:20:38, 1.31s/step] Training: 44%|████▎ | 30490/70000 [10:47:29<13:56:59, 1.27s/step] Training: 44%|████▎ | 30491/70000 [10:47:30<13:41:51, 1.25s/step] Training: 44%|████▎ | 30492/70000 [10:47:31<13:34:03, 1.24s/step] Training: 44%|████▎ | 30493/70000 [10:47:32<13:27:04, 1.23s/step] Training: 44%|████▎ | 30494/70000 [10:47:34<13:49:18, 1.26s/step] Training: 44%|████▎ | 30495/70000 [10:47:35<13:43:33, 1.25s/step] Training: 44%|████▎ | 30496/70000 [10:47:36<13:31:41, 1.23s/step] Training: 44%|████▎ | 30497/70000 [10:47:38<13:53:14, 1.27s/step] Training: 44%|████▎ | 30498/70000 [10:47:39<13:36:29, 1.24s/step] Training: 44%|████▎ | 30499/70000 [10:47:40<13:27:53, 1.23s/step] Training: 44%|████▎ | 30500/70000 [10:47:41<13:49:51, 1.26s/step]INFO 2026-03-13 06:57:33 ot_train.py:435 step:30K smpl:2M ep:7K epch:25.85 loss:0.030 grdn:4.976 lr:1.5e-05 updt_s:1.249 data_s:0.018 Training: 44%|████▎ | 30501/70000 [10:47:43<14:03:22, 1.28s/step] Training: 44%|████▎ | 30502/70000 [10:47:44<14:15:42, 1.30s/step] Training: 44%|████▎ | 30503/70000 [10:47:45<13:57:22, 1.27s/step] Training: 44%|████▎ | 30504/70000 [10:47:47<14:18:15, 1.30s/step] Training: 44%|████▎ | 30505/70000 [10:47:48<14:23:55, 1.31s/step] Training: 44%|████▎ | 30506/70000 [10:47:49<13:59:50, 1.28s/step] Training: 44%|████▎ | 30507/70000 [10:47:50<13:42:14, 1.25s/step] Training: 44%|████▎ | 30508/70000 [10:47:52<13:57:05, 1.27s/step] Training: 44%|████▎ | 30509/70000 [10:47:53<14:08:00, 1.29s/step] Training: 44%|████▎ | 30510/70000 [10:47:54<14:16:10, 1.30s/step] Training: 44%|████▎ | 30511/70000 [10:47:56<14:22:09, 1.31s/step] Training: 44%|████▎ | 30512/70000 [10:47:57<13:58:04, 1.27s/step] Training: 44%|████▎ | 30513/70000 [10:47:58<14:33:27, 1.33s/step] Training: 44%|████▎ | 30514/70000 [10:47:59<14:05:59, 1.29s/step] Training: 44%|████▎ | 30515/70000 [10:48:01<13:48:05, 1.26s/step] Training: 44%|████▎ | 30516/70000 [10:48:02<13:45:57, 1.26s/step] Training: 44%|████▎ | 30517/70000 [10:48:03<13:44:49, 1.25s/step] Training: 44%|████▎ | 30518/70000 [10:48:04<13:59:21, 1.28s/step] Training: 44%|████▎ | 30519/70000 [10:48:06<14:09:47, 1.29s/step] Training: 44%|████▎ | 30520/70000 [10:48:07<13:49:30, 1.26s/step] Training: 44%|████▎ | 30521/70000 [10:48:08<14:24:04, 1.31s/step] Training: 44%|████▎ | 30522/70000 [10:48:10<13:59:59, 1.28s/step] Training: 44%|████▎ | 30523/70000 [10:48:11<13:43:31, 1.25s/step] Training: 44%|████▎ | 30524/70000 [10:48:12<13:34:48, 1.24s/step] Training: 44%|████▎ | 30525/70000 [10:48:13<13:33:07, 1.24s/step] Training: 44%|████▎ | 30526/70000 [10:48:15<13:55:08, 1.27s/step] Training: 44%|████▎ | 30527/70000 [10:48:16<13:48:29, 1.26s/step] Training: 44%|████▎ | 30528/70000 [10:48:17<13:35:18, 1.24s/step] Training: 44%|████▎ | 30529/70000 [10:48:18<13:39:00, 1.24s/step] Training: 44%|████▎ | 30530/70000 [10:48:19<13:29:16, 1.23s/step] Training: 44%|████▎ | 30531/70000 [10:48:21<13:21:46, 1.22s/step] Training: 44%|████▎ | 30532/70000 [10:48:22<13:44:08, 1.25s/step] Training: 44%|████▎ | 30533/70000 [10:48:23<14:00:11, 1.28s/step] Training: 44%|████▎ | 30534/70000 [10:48:25<14:10:27, 1.29s/step] Training: 44%|████▎ | 30535/70000 [10:48:26<13:58:49, 1.28s/step] Training: 44%|████▎ | 30536/70000 [10:48:27<13:41:54, 1.25s/step] Training: 44%|████▎ | 30537/70000 [10:48:28<14:14:03, 1.30s/step] Training: 44%|████▎ | 30538/70000 [10:48:30<13:53:22, 1.27s/step] Training: 44%|████▎ | 30539/70000 [10:48:31<13:37:56, 1.24s/step] Training: 44%|████▎ | 30540/70000 [10:48:32<13:55:00, 1.27s/step] Training: 44%|████▎ | 30541/70000 [10:48:33<14:07:58, 1.29s/step] Training: 44%|████▎ | 30542/70000 [10:48:35<14:16:05, 1.30s/step] Training: 44%|████▎ | 30543/70000 [10:48:36<14:24:41, 1.31s/step] Training: 44%|████▎ | 30544/70000 [10:48:37<14:00:05, 1.28s/step] Training: 44%|████▎ | 30545/70000 [10:48:39<14:09:55, 1.29s/step] Training: 44%|████▎ | 30546/70000 [10:48:40<13:49:00, 1.26s/step] Training: 44%|████▎ | 30547/70000 [10:48:41<13:40:20, 1.25s/step] Training: 44%|████▎ | 30548/70000 [10:48:42<13:31:05, 1.23s/step] Training: 44%|████▎ | 30549/70000 [10:48:43<13:29:15, 1.23s/step] Training: 44%|████▎ | 30550/70000 [10:48:45<13:48:56, 1.26s/step] Training: 44%|████▎ | 30551/70000 [10:48:46<14:02:29, 1.28s/step] Training: 44%|████▎ | 30552/70000 [10:48:47<13:44:03, 1.25s/step] Training: 44%|████▎ | 30553/70000 [10:48:49<13:58:13, 1.27s/step] Training: 44%|████▎ | 30554/70000 [10:48:50<14:14:54, 1.30s/step] Training: 44%|████▎ | 30555/70000 [10:48:51<13:51:12, 1.26s/step] Training: 44%|████▎ | 30556/70000 [10:48:52<13:41:11, 1.25s/step] Training: 44%|████▎ | 30557/70000 [10:48:54<13:34:53, 1.24s/step] Training: 44%|████▎ | 30558/70000 [10:48:55<13:52:43, 1.27s/step] Training: 44%|████▎ | 30559/70000 [10:48:56<13:46:06, 1.26s/step] Training: 44%|████▎ | 30560/70000 [10:48:57<13:32:36, 1.24s/step] Training: 44%|████▎ | 30561/70000 [10:48:59<13:33:49, 1.24s/step] Training: 44%|████▎ | 30562/70000 [10:49:00<13:41:42, 1.25s/step] Training: 44%|████▎ | 30563/70000 [10:49:01<13:29:40, 1.23s/step] Training: 44%|████▎ | 30564/70000 [10:49:02<13:48:58, 1.26s/step] Training: 44%|████▎ | 30565/70000 [10:49:04<14:03:12, 1.28s/step] Training: 44%|████▎ | 30566/70000 [10:49:05<14:11:53, 1.30s/step] Training: 44%|████▎ | 30567/70000 [10:49:06<13:56:41, 1.27s/step] Training: 44%|████▎ | 30568/70000 [10:49:07<13:40:27, 1.25s/step] Training: 44%|████▎ | 30569/70000 [10:49:09<13:57:12, 1.27s/step] Training: 44%|████▎ | 30570/70000 [10:49:10<14:13:26, 1.30s/step] Training: 44%|████▎ | 30571/70000 [10:49:11<13:50:12, 1.26s/step] Training: 44%|████▎ | 30572/70000 [10:49:13<14:06:54, 1.29s/step] Training: 44%|████▎ | 30573/70000 [10:49:14<14:15:52, 1.30s/step] Training: 44%|████▎ | 30574/70000 [10:49:15<14:21:17, 1.31s/step] Training: 44%|████▎ | 30575/70000 [10:49:17<14:25:41, 1.32s/step] Training: 44%|████▎ | 30576/70000 [10:49:18<14:00:01, 1.28s/step] Training: 44%|████▎ | 30577/70000 [10:49:19<14:10:42, 1.29s/step] Training: 44%|████▎ | 30578/70000 [10:49:21<14:23:43, 1.31s/step] Training: 44%|████▎ | 30579/70000 [10:49:22<13:56:33, 1.27s/step] Training: 44%|████▎ | 30580/70000 [10:49:23<14:05:51, 1.29s/step] Training: 44%|████▎ | 30581/70000 [10:49:24<13:55:21, 1.27s/step] Training: 44%|████▎ | 30582/70000 [10:49:26<14:07:34, 1.29s/step] Training: 44%|████▎ | 30583/70000 [10:49:27<14:14:56, 1.30s/step] Training: 44%|████▎ | 30584/70000 [10:49:28<13:52:41, 1.27s/step] Training: 44%|████▎ | 30585/70000 [10:49:29<13:44:53, 1.26s/step] Training: 44%|████▎ | 30586/70000 [10:49:31<13:57:26, 1.27s/step] Training: 44%|████▎ | 30587/70000 [10:49:32<14:11:39, 1.30s/step] Training: 44%|████▎ | 30588/70000 [10:49:33<13:50:49, 1.26s/step] Training: 44%|████▎ | 30589/70000 [10:49:34<13:43:30, 1.25s/step] Training: 44%|████▎ | 30590/70000 [10:49:36<13:58:35, 1.28s/step] Training: 44%|████▎ | 30591/70000 [10:49:37<13:50:49, 1.26s/step] Training: 44%|████▎ | 30592/70000 [10:49:38<13:35:43, 1.24s/step] Training: 44%|████▎ | 30593/70000 [10:49:39<13:25:37, 1.23s/step] Training: 44%|████▎ | 30594/70000 [10:49:41<13:55:31, 1.27s/step] Training: 44%|████▎ | 30595/70000 [10:49:42<14:10:18, 1.29s/step] Training: 44%|████▎ | 30596/70000 [10:49:43<14:16:10, 1.30s/step] Training: 44%|████▎ | 30597/70000 [10:49:45<14:21:37, 1.31s/step] Training: 44%|████▎ | 30598/70000 [10:49:46<14:25:09, 1.32s/step] Training: 44%|████▎ | 30599/70000 [10:49:47<14:04:46, 1.29s/step] Training: 44%|████▎ | 30600/70000 [10:49:49<13:45:32, 1.26s/step]INFO 2026-03-13 06:59:41 ot_train.py:435 step:31K smpl:2M ep:7K epch:25.94 loss:0.029 grdn:3.950 lr:1.5e-05 updt_s:1.252 data_s:0.019 Training: 44%|████▎ | 30601/70000 [10:49:50<13:58:39, 1.28s/step] Training: 44%|████▎ | 30602/70000 [10:49:51<13:42:25, 1.25s/step] Training: 44%|████▎ | 30603/70000 [10:49:52<13:58:19, 1.28s/step] Training: 44%|████▎ | 30604/70000 [10:49:54<14:08:18, 1.29s/step] Training: 44%|████▎ | 30605/70000 [10:49:55<14:17:03, 1.31s/step] Training: 44%|████▎ | 30606/70000 [10:49:56<13:59:19, 1.28s/step] Training: 44%|████▎ | 30607/70000 [10:49:58<14:32:07, 1.33s/step] Training: 44%|████▎ | 30608/70000 [10:49:59<14:04:23, 1.29s/step] Training: 44%|████▎ | 30609/70000 [10:50:00<13:47:10, 1.26s/step] Training: 44%|████▎ | 30610/70000 [10:50:01<13:55:23, 1.27s/step] Training: 44%|████▎ | 30611/70000 [10:50:03<14:10:37, 1.30s/step] Training: 44%|████▎ | 30612/70000 [10:50:04<14:15:28, 1.30s/step] Training: 44%|████▎ | 30613/70000 [10:50:05<14:01:17, 1.28s/step] Training: 44%|████▎ | 30614/70000 [10:50:07<14:09:17, 1.29s/step] Training: 44%|████▎ | 30615/70000 [10:50:08<14:37:29, 1.34s/step] Training: 44%|████▎ | 30616/70000 [10:50:09<14:07:55, 1.29s/step] Training: 44%|████▎ | 30617/70000 [10:50:11<13:58:10, 1.28s/step] Training: 44%|████▎ | 30618/70000 [10:50:12<14:13:28, 1.30s/step] Training: 44%|████▎ | 30619/70000 [10:50:13<14:01:42, 1.28s/step] Training: 44%|████▎ | 30620/70000 [10:50:14<13:45:46, 1.26s/step] Training: 44%|████▎ | 30621/70000 [10:50:16<13:38:21, 1.25s/step] Training: 44%|████▎ | 30622/70000 [10:50:17<13:54:09, 1.27s/step] Training: 44%|████▎ | 30623/70000 [10:50:18<13:45:56, 1.26s/step] Training: 44%|████▎ | 30624/70000 [10:50:19<13:32:49, 1.24s/step] Training: 44%|████▍ | 30625/70000 [10:50:20<13:23:40, 1.22s/step] Training: 44%|████▍ | 30626/70000 [10:50:22<13:46:04, 1.26s/step] Training: 44%|████▍ | 30627/70000 [10:50:23<13:32:04, 1.24s/step] Training: 44%|████▍ | 30628/70000 [10:50:24<14:09:09, 1.29s/step] Training: 44%|████▍ | 30629/70000 [10:50:26<14:16:22, 1.31s/step] Training: 44%|████▍ | 30630/70000 [10:50:27<14:02:44, 1.28s/step] Training: 44%|████▍ | 30631/70000 [10:50:28<13:49:32, 1.26s/step] Training: 44%|████▍ | 30632/70000 [10:50:29<13:35:14, 1.24s/step] Training: 44%|████▍ | 30633/70000 [10:50:31<13:51:24, 1.27s/step] Training: 44%|████▍ | 30634/70000 [10:50:32<14:02:37, 1.28s/step] Training: 44%|████▍ | 30635/70000 [10:50:33<13:44:15, 1.26s/step] Training: 44%|████▍ | 30636/70000 [10:50:35<14:24:15, 1.32s/step] Training: 44%|████▍ | 30637/70000 [10:50:36<14:27:23, 1.32s/step] Training: 44%|████▍ | 30638/70000 [10:50:37<14:05:49, 1.29s/step] Training: 44%|████▍ | 30639/70000 [10:50:39<14:12:39, 1.30s/step] Training: 44%|████▍ | 30640/70000 [10:50:40<13:51:03, 1.27s/step] Training: 44%|████▍ | 30641/70000 [10:50:41<13:39:00, 1.25s/step] Training: 44%|████▍ | 30642/70000 [10:50:42<13:56:32, 1.28s/step] Training: 44%|████▍ | 30643/70000 [10:50:43<13:40:09, 1.25s/step] Training: 44%|████▍ | 30644/70000 [10:50:45<14:00:28, 1.28s/step] Training: 44%|████▍ | 30645/70000 [10:50:46<13:49:29, 1.26s/step] Training: 44%|████▍ | 30646/70000 [10:50:47<14:07:00, 1.29s/step] Training: 44%|████▍ | 30647/70000 [10:50:49<14:16:06, 1.31s/step] Training: 44%|████▍ | 30648/70000 [10:50:50<13:53:04, 1.27s/step] Training: 44%|████▍ | 30649/70000 [10:50:51<13:49:46, 1.27s/step] Training: 44%|████▍ | 30650/70000 [10:50:53<14:01:06, 1.28s/step] Training: 44%|████▍ | 30651/70000 [10:50:54<13:43:56, 1.26s/step] Training: 44%|████▍ | 30652/70000 [10:50:55<13:33:18, 1.24s/step] Training: 44%|████▍ | 30653/70000 [10:50:56<13:54:18, 1.27s/step] Training: 44%|████▍ | 30654/70000 [10:50:58<14:05:42, 1.29s/step] Training: 44%|████▍ | 30655/70000 [10:50:59<14:18:45, 1.31s/step] Training: 44%|████▍ | 30656/70000 [10:51:00<13:54:43, 1.27s/step] Training: 44%|████▍ | 30657/70000 [10:51:01<13:38:16, 1.25s/step] Training: 44%|████▍ | 30658/70000 [10:51:03<13:57:55, 1.28s/step] Training: 44%|████▍ | 30659/70000 [10:51:04<13:40:08, 1.25s/step] Training: 44%|████▍ | 30660/70000 [10:51:05<13:56:07, 1.28s/step] Training: 44%|████▍ | 30661/70000 [10:51:07<14:08:31, 1.29s/step] Training: 44%|████▍ | 30662/70000 [10:51:08<14:07:48, 1.29s/step] Training: 44%|████▍ | 30663/70000 [10:51:09<13:56:46, 1.28s/step] Training: 44%|████▍ | 30664/70000 [10:51:10<13:39:38, 1.25s/step] Training: 44%|████▍ | 30665/70000 [10:51:12<13:56:52, 1.28s/step] Training: 44%|████▍ | 30666/70000 [10:51:13<14:07:29, 1.29s/step] Training: 44%|████▍ | 30667/70000 [10:51:14<13:46:56, 1.26s/step] Training: 44%|████▍ | 30668/70000 [10:51:15<14:00:04, 1.28s/step] Training: 44%|████▍ | 30669/70000 [10:51:17<14:09:15, 1.30s/step] Training: 44%|████▍ | 30670/70000 [10:51:18<13:58:02, 1.28s/step] Training: 44%|████▍ | 30671/70000 [10:51:19<14:08:15, 1.29s/step] Training: 44%|████▍ | 30672/70000 [10:51:21<13:47:03, 1.26s/step] Training: 44%|████▍ | 30673/70000 [10:51:22<13:37:50, 1.25s/step] Training: 44%|████▍ | 30674/70000 [10:51:23<13:52:29, 1.27s/step] Training: 44%|████▍ | 30675/70000 [10:51:24<13:36:10, 1.25s/step] Training: 44%|████▍ | 30676/70000 [10:51:26<13:52:17, 1.27s/step] Training: 44%|████▍ | 30677/70000 [10:51:27<14:12:18, 1.30s/step] Training: 44%|████▍ | 30678/70000 [10:51:28<13:49:45, 1.27s/step] Training: 44%|████▍ | 30679/70000 [10:51:30<14:22:50, 1.32s/step] Training: 44%|████▍ | 30680/70000 [10:51:32<17:48:04, 1.63s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 44%|████▍ | 30681/70000 [10:51:36<25:25:31, 2.33s/step] Training: 44%|████▍ | 30682/70000 [10:51:37<22:17:46, 2.04s/step] Training: 44%|████▍ | 30683/70000 [10:51:38<19:30:06, 1.79s/step] Training: 44%|████▍ | 30684/70000 [10:51:40<17:45:19, 1.63s/step] Training: 44%|████▍ | 30685/70000 [10:51:41<16:49:38, 1.54s/step] Training: 44%|████▍ | 30686/70000 [10:51:42<15:46:50, 1.45s/step] Training: 44%|████▍ | 30687/70000 [10:51:44<15:20:42, 1.41s/step] Training: 44%|████▍ | 30688/70000 [10:51:45<14:38:09, 1.34s/step] Training: 44%|████▍ | 30689/70000 [10:51:46<14:09:07, 1.30s/step] Training: 44%|████▍ | 30690/70000 [10:51:47<14:17:04, 1.31s/step] Training: 44%|████▍ | 30691/70000 [10:51:48<13:53:50, 1.27s/step] Training: 44%|████▍ | 30692/70000 [10:51:50<14:04:45, 1.29s/step] Training: 44%|████▍ | 30693/70000 [10:51:51<13:45:30, 1.26s/step] Training: 44%|████▍ | 30694/70000 [10:51:52<14:05:09, 1.29s/step] Training: 44%|████▍ | 30695/70000 [10:51:54<13:54:39, 1.27s/step] Training: 44%|████▍ | 30696/70000 [10:51:55<13:39:02, 1.25s/step] Training: 44%|████▍ | 30697/70000 [10:51:56<13:56:56, 1.28s/step] Training: 44%|████▍ | 30698/70000 [10:51:57<14:12:48, 1.30s/step] Training: 44%|████▍ | 30699/70000 [10:51:59<13:51:22, 1.27s/step] Training: 44%|████▍ | 30700/70000 [10:52:00<14:05:09, 1.29s/step]INFO 2026-03-13 07:01:52 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.02 loss:0.026 grdn:4.969 lr:1.5e-05 updt_s:1.256 data_s:0.057 Training: 44%|████▍ | 30701/70000 [10:52:01<13:45:29, 1.26s/step] Training: 44%|████▍ | 30702/70000 [10:52:03<13:54:51, 1.27s/step] Training: 44%|████▍ | 30703/70000 [10:52:04<14:06:59, 1.29s/step] Training: 44%|████▍ | 30704/70000 [10:52:05<13:45:53, 1.26s/step] Training: 44%|████▍ | 30705/70000 [10:52:06<13:36:02, 1.25s/step] Training: 44%|████▍ | 30706/70000 [10:52:08<13:53:06, 1.27s/step] Training: 44%|████▍ | 30707/70000 [10:52:09<13:37:39, 1.25s/step] Training: 44%|████▍ | 30708/70000 [10:52:10<13:54:07, 1.27s/step] Training: 44%|████▍ | 30709/70000 [10:52:11<13:40:26, 1.25s/step] Training: 44%|████▍ | 30710/70000 [10:52:13<13:27:33, 1.23s/step] Training: 44%|████▍ | 30711/70000 [10:52:14<14:12:06, 1.30s/step] Training: 44%|████▍ | 30712/70000 [10:52:15<13:50:38, 1.27s/step] Training: 44%|████▍ | 30713/70000 [10:52:16<13:42:52, 1.26s/step] Training: 44%|████▍ | 30714/70000 [10:52:18<13:56:13, 1.28s/step] Training: 44%|████▍ | 30715/70000 [10:52:19<13:38:54, 1.25s/step] Training: 44%|████▍ | 30716/70000 [10:52:20<13:30:52, 1.24s/step] Training: 44%|████▍ | 30717/70000 [10:52:21<13:29:06, 1.24s/step] Training: 44%|████▍ | 30718/70000 [10:52:23<13:52:45, 1.27s/step] Training: 44%|████▍ | 30719/70000 [10:52:24<14:10:33, 1.30s/step] Training: 44%|████▍ | 30720/70000 [10:52:25<13:48:22, 1.27s/step] Training: 44%|████▍ | 30721/70000 [10:52:26<13:32:44, 1.24s/step] Training: 44%|████▍ | 30722/70000 [10:52:28<13:51:37, 1.27s/step] Training: 44%|████▍ | 30723/70000 [10:52:29<13:35:18, 1.25s/step] Training: 44%|████▍ | 30724/70000 [10:52:30<13:53:20, 1.27s/step] Training: 44%|████▍ | 30725/70000 [10:52:31<13:37:29, 1.25s/step] Training: 44%|████▍ | 30726/70000 [10:52:33<13:53:54, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=31025 Training: 44%|████▍ | 30727/70000 [10:52:34<14:07:16, 1.29s/step] Training: 44%|████▍ | 30728/70000 [10:52:35<13:45:07, 1.26s/step] Training: 44%|████▍ | 30729/70000 [10:52:37<13:30:48, 1.24s/step] Training: 44%|████▍ | 30730/70000 [10:52:38<13:48:47, 1.27s/step] Training: 44%|████▍ | 30731/70000 [10:52:39<13:33:33, 1.24s/step] Training: 44%|████▍ | 30732/70000 [10:52:40<13:50:32, 1.27s/step] Training: 44%|████▍ | 30733/70000 [10:52:42<13:34:35, 1.24s/step] Training: 44%|████▍ | 30734/70000 [10:52:43<13:32:15, 1.24s/step] Training: 44%|████▍ | 30735/70000 [10:52:44<14:13:55, 1.30s/step] Training: 44%|████▍ | 30736/70000 [10:52:45<13:51:45, 1.27s/step] Training: 44%|████▍ | 30737/70000 [10:52:47<13:45:04, 1.26s/step] Training: 44%|████▍ | 30738/70000 [10:52:48<13:56:44, 1.28s/step] Training: 44%|████▍ | 30739/70000 [10:52:49<13:38:44, 1.25s/step] Training: 44%|████▍ | 30740/70000 [10:52:51<13:54:28, 1.28s/step] Training: 44%|████▍ | 30741/70000 [10:52:52<13:45:28, 1.26s/step] Training: 44%|████▍ | 30742/70000 [10:52:53<13:32:42, 1.24s/step] Training: 44%|████▍ | 30743/70000 [10:52:54<14:08:08, 1.30s/step] Training: 44%|████▍ | 30744/70000 [10:52:56<13:46:50, 1.26s/step] Training: 44%|████▍ | 30745/70000 [10:52:57<13:36:47, 1.25s/step] Training: 44%|████▍ | 30746/70000 [10:52:58<13:52:18, 1.27s/step] Training: 44%|████▍ | 30747/70000 [10:52:59<13:35:51, 1.25s/step] Training: 44%|████▍ | 30748/70000 [10:53:01<13:29:29, 1.24s/step] Training: 44%|████▍ | 30749/70000 [10:53:02<13:25:28, 1.23s/step] Training: 44%|████▍ | 30750/70000 [10:53:03<13:44:14, 1.26s/step] Training: 44%|████▍ | 30751/70000 [10:53:04<14:08:28, 1.30s/step] Training: 44%|████▍ | 30752/70000 [10:53:06<13:47:01, 1.26s/step] Training: 44%|████▍ | 30753/70000 [10:53:07<14:01:54, 1.29s/step] Training: 44%|████▍ | 30754/70000 [10:53:08<14:01:10, 1.29s/step] Training: 44%|████▍ | 30755/70000 [10:53:09<13:42:06, 1.26s/step] Training: 44%|████▍ | 30756/70000 [10:53:11<13:56:32, 1.28s/step] Training: 44%|████▍ | 30757/70000 [10:53:12<14:08:06, 1.30s/step] Training: 44%|████▍ | 30758/70000 [10:53:13<13:50:53, 1.27s/step] Training: 44%|████▍ | 30759/70000 [10:53:15<13:48:50, 1.27s/step] Training: 44%|████▍ | 30760/70000 [10:53:16<13:31:35, 1.24s/step] Training: 44%|████▍ | 30761/70000 [10:53:17<13:48:47, 1.27s/step] Training: 44%|████▍ | 30762/70000 [10:53:18<13:33:20, 1.24s/step] Training: 44%|████▍ | 30763/70000 [10:53:19<13:23:19, 1.23s/step] Training: 44%|████▍ | 30764/70000 [10:53:21<13:43:37, 1.26s/step] Training: 44%|████▍ | 30765/70000 [10:53:22<13:57:08, 1.28s/step] Training: 44%|████▍ | 30766/70000 [10:53:23<13:48:48, 1.27s/step] Training: 44%|████▍ | 30767/70000 [10:53:25<14:00:31, 1.29s/step] Training: 44%|████▍ | 30768/70000 [10:53:26<14:09:18, 1.30s/step] Training: 44%|████▍ | 30769/70000 [10:53:27<13:53:48, 1.28s/step] Training: 44%|████▍ | 30770/70000 [10:53:28<13:36:18, 1.25s/step] Training: 44%|████▍ | 30771/70000 [10:53:30<13:25:02, 1.23s/step] Training: 44%|████▍ | 30772/70000 [10:53:31<13:44:55, 1.26s/step] Training: 44%|████▍ | 30773/70000 [10:53:32<13:41:35, 1.26s/step] Training: 44%|████▍ | 30774/70000 [10:53:33<13:28:42, 1.24s/step] Training: 44%|████▍ | 30775/70000 [10:53:35<14:07:08, 1.30s/step] Training: 44%|████▍ | 30776/70000 [10:53:36<14:06:53, 1.30s/step] Training: 44%|████▍ | 30777/70000 [10:53:37<13:49:57, 1.27s/step] Training: 44%|████▍ | 30778/70000 [10:53:39<13:40:30, 1.26s/step] Training: 44%|████▍ | 30779/70000 [10:53:40<13:27:16, 1.23s/step] Training: 44%|████▍ | 30780/70000 [10:53:41<13:21:54, 1.23s/step] Training: 44%|████▍ | 30781/70000 [10:53:42<13:20:30, 1.22s/step] Training: 44%|████▍ | 30782/70000 [10:53:43<13:41:57, 1.26s/step] Training: 44%|████▍ | 30783/70000 [10:53:45<14:01:40, 1.29s/step] Training: 44%|████▍ | 30784/70000 [10:53:46<14:14:14, 1.31s/step] Training: 44%|████▍ | 30785/70000 [10:53:48<14:16:05, 1.31s/step] Training: 44%|████▍ | 30786/70000 [10:53:49<13:56:10, 1.28s/step] Training: 44%|████▍ | 30787/70000 [10:53:50<13:38:26, 1.25s/step] Training: 44%|████▍ | 30788/70000 [10:53:51<13:54:02, 1.28s/step] Training: 44%|████▍ | 30789/70000 [10:53:53<14:04:44, 1.29s/step] Training: 44%|████▍ | 30790/70000 [10:53:54<13:47:01, 1.27s/step] Training: 44%|████▍ | 30791/70000 [10:53:55<13:38:17, 1.25s/step] Training: 44%|████▍ | 30792/70000 [10:53:56<14:00:07, 1.29s/step] Training: 44%|████▍ | 30793/70000 [10:53:58<14:07:02, 1.30s/step] Training: 44%|████▍ | 30794/70000 [10:53:59<14:13:39, 1.31s/step] Training: 44%|████▍ | 30795/70000 [10:54:00<13:50:28, 1.27s/step] Training: 44%|████▍ | 30796/70000 [10:54:02<14:00:54, 1.29s/step] Training: 44%|████▍ | 30797/70000 [10:54:03<14:09:40, 1.30s/step] Training: 44%|████▍ | 30798/70000 [10:54:04<13:58:04, 1.28s/step] Training: 44%|████▍ | 30799/70000 [10:54:05<14:07:48, 1.30s/step] Training: 44%|████▍ | 30800/70000 [10:54:07<13:46:26, 1.26s/step]INFO 2026-03-13 07:03:59 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.11 loss:0.025 grdn:4.408 lr:1.5e-05 updt_s:1.245 data_s:0.019 Training: 44%|████▍ | 30801/70000 [10:54:08<14:01:48, 1.29s/step] Training: 44%|████▍ | 30802/70000 [10:54:09<14:06:10, 1.30s/step] Training: 44%|████▍ | 30803/70000 [10:54:10<13:46:55, 1.27s/step] Training: 44%|████▍ | 30804/70000 [10:54:12<13:59:53, 1.29s/step] Training: 44%|████▍ | 30805/70000 [10:54:13<13:48:07, 1.27s/step] Training: 44%|████▍ | 30806/70000 [10:54:14<13:33:12, 1.24s/step] Training: 44%|████▍ | 30807/70000 [10:54:16<14:11:07, 1.30s/step] Training: 44%|████▍ | 30808/70000 [10:54:17<13:49:09, 1.27s/step] Training: 44%|████▍ | 30809/70000 [10:54:18<14:05:53, 1.30s/step] Training: 44%|████▍ | 30810/70000 [10:54:19<13:52:11, 1.27s/step] Training: 44%|████▍ | 30811/70000 [10:54:21<13:34:16, 1.25s/step] Training: 44%|████▍ | 30812/70000 [10:54:22<13:26:23, 1.23s/step] Training: 44%|████▍ | 30813/70000 [10:54:23<13:22:40, 1.23s/step] Training: 44%|████▍ | 30814/70000 [10:54:24<13:14:54, 1.22s/step] Training: 44%|████▍ | 30815/70000 [10:54:25<13:17:12, 1.22s/step] Training: 44%|████▍ | 30816/70000 [10:54:27<13:11:25, 1.21s/step] Training: 44%|████▍ | 30817/70000 [10:54:28<13:50:51, 1.27s/step] Training: 44%|████▍ | 30818/70000 [10:54:29<13:38:06, 1.25s/step] Training: 44%|████▍ | 30819/70000 [10:54:30<13:25:29, 1.23s/step] Training: 44%|████▍ | 30820/70000 [10:54:32<13:43:43, 1.26s/step] Training: 44%|████▍ | 30821/70000 [10:54:33<13:58:56, 1.28s/step] Training: 44%|████▍ | 30822/70000 [10:54:34<13:47:34, 1.27s/step] Training: 44%|████▍ | 30823/70000 [10:54:36<13:43:32, 1.26s/step] Training: 44%|████▍ | 30824/70000 [10:54:37<13:30:07, 1.24s/step] Training: 44%|████▍ | 30825/70000 [10:54:38<13:57:31, 1.28s/step] Training: 44%|████▍ | 30826/70000 [10:54:39<14:04:41, 1.29s/step] Training: 44%|████▍ | 30827/70000 [10:54:41<13:44:37, 1.26s/step] Training: 44%|████▍ | 30828/70000 [10:54:42<13:57:35, 1.28s/step] Training: 44%|████▍ | 30829/70000 [10:54:43<14:07:39, 1.30s/step] Training: 44%|████▍ | 30830/70000 [10:54:45<13:53:26, 1.28s/step] Training: 44%|████▍ | 30831/70000 [10:54:46<14:02:35, 1.29s/step] Training: 44%|████▍ | 30832/70000 [10:54:47<13:42:53, 1.26s/step] Training: 44%|████▍ | 30833/70000 [10:54:48<13:52:11, 1.27s/step] Training: 44%|████▍ | 30834/70000 [10:54:50<13:59:49, 1.29s/step] Training: 44%|████▍ | 30835/70000 [10:54:51<13:40:16, 1.26s/step] Training: 44%|████▍ | 30836/70000 [10:54:52<13:54:32, 1.28s/step] Training: 44%|████▍ | 30837/70000 [10:54:53<13:44:12, 1.26s/step] Training: 44%|████▍ | 30838/70000 [10:54:55<13:30:19, 1.24s/step] Training: 44%|████▍ | 30839/70000 [10:54:56<14:05:58, 1.30s/step] Training: 44%|████▍ | 30840/70000 [10:54:57<13:44:55, 1.26s/step] Training: 44%|████▍ | 30841/70000 [10:54:58<13:36:56, 1.25s/step] Training: 44%|████▍ | 30842/70000 [10:55:00<13:55:50, 1.28s/step] Training: 44%|████▍ | 30843/70000 [10:55:01<13:36:22, 1.25s/step] Training: 44%|████▍ | 30844/70000 [10:55:02<13:30:47, 1.24s/step] Training: 44%|████▍ | 30845/70000 [10:55:03<13:24:21, 1.23s/step] Training: 44%|████▍ | 30846/70000 [10:55:05<13:44:22, 1.26s/step] Training: 44%|████▍ | 30847/70000 [10:55:06<14:04:22, 1.29s/step] Training: 44%|████▍ | 30848/70000 [10:55:07<13:44:26, 1.26s/step] Training: 44%|████▍ | 30849/70000 [10:55:09<13:30:14, 1.24s/step] Training: 44%|████▍ | 30850/70000 [10:55:10<13:46:15, 1.27s/step] Training: 44%|████▍ | 30851/70000 [10:55:11<13:29:01, 1.24s/step] Training: 44%|████▍ | 30852/70000 [10:55:12<13:48:41, 1.27s/step] Training: 44%|████▍ | 30853/70000 [10:55:14<13:59:46, 1.29s/step] Training: 44%|████▍ | 30854/70000 [10:55:15<14:08:05, 1.30s/step] Training: 44%|████▍ | 30855/70000 [10:55:16<13:55:38, 1.28s/step] Training: 44%|████▍ | 30856/70000 [10:55:17<13:37:44, 1.25s/step] Training: 44%|████▍ | 30857/70000 [10:55:19<13:25:08, 1.23s/step] Training: 44%|████▍ | 30858/70000 [10:55:20<14:03:14, 1.29s/step] Training: 44%|████▍ | 30859/70000 [10:55:21<13:41:05, 1.26s/step] Training: 44%|████▍ | 30860/70000 [10:55:23<14:01:20, 1.29s/step] Training: 44%|████▍ | 30861/70000 [10:55:24<14:09:44, 1.30s/step] Training: 44%|████▍ | 30862/70000 [10:55:25<13:55:38, 1.28s/step] Training: 44%|████▍ | 30863/70000 [10:55:27<14:05:03, 1.30s/step] Training: 44%|████▍ | 30864/70000 [10:55:28<13:44:05, 1.26s/step] Training: 44%|████▍ | 30865/70000 [10:55:29<13:29:51, 1.24s/step] Training: 44%|████▍ | 30866/70000 [10:55:30<13:45:48, 1.27s/step] Training: 44%|████▍ | 30867/70000 [10:55:32<14:01:27, 1.29s/step] Training: 44%|████▍ | 30868/70000 [10:55:33<14:06:33, 1.30s/step] Training: 44%|████▍ | 30869/70000 [10:55:34<13:52:32, 1.28s/step] Training: 44%|████▍ | 30870/70000 [10:55:35<13:35:51, 1.25s/step] Training: 44%|████▍ | 30871/70000 [10:55:37<14:14:06, 1.31s/step] Training: 44%|████▍ | 30872/70000 [10:55:38<13:50:10, 1.27s/step] Training: 44%|████▍ | 30873/70000 [10:55:39<13:34:03, 1.25s/step] Training: 44%|████▍ | 30874/70000 [10:55:41<14:02:42, 1.29s/step] Training: 44%|████▍ | 30875/70000 [10:55:42<14:12:45, 1.31s/step] Training: 44%|████▍ | 30876/70000 [10:55:43<13:53:08, 1.28s/step] Training: 44%|████▍ | 30877/70000 [10:55:44<13:40:40, 1.26s/step] Training: 44%|████▍ | 30878/70000 [10:55:46<13:55:49, 1.28s/step] Training: 44%|████▍ | 30879/70000 [10:55:47<14:11:07, 1.31s/step] Training: 44%|████▍ | 30880/70000 [10:55:48<13:48:15, 1.27s/step] Training: 44%|████▍ | 30881/70000 [10:55:49<13:32:40, 1.25s/step] Training: 44%|████▍ | 30882/70000 [10:55:51<13:48:32, 1.27s/step] Training: 44%|████▍ | 30883/70000 [10:55:52<13:34:26, 1.25s/step] Training: 44%|████▍ | 30884/70000 [10:55:53<13:51:03, 1.27s/step] Training: 44%|████▍ | 30885/70000 [10:55:55<14:01:09, 1.29s/step] Training: 44%|████▍ | 30886/70000 [10:55:56<13:43:28, 1.26s/step] Training: 44%|████▍ | 30887/70000 [10:55:57<13:40:21, 1.26s/step] Training: 44%|████▍ | 30888/70000 [10:55:58<13:26:28, 1.24s/step] Training: 44%|████▍ | 30889/70000 [10:55:59<13:17:02, 1.22s/step] Training: 44%|████▍ | 30890/70000 [10:56:01<13:38:29, 1.26s/step] Training: 44%|████▍ | 30891/70000 [10:56:02<13:49:30, 1.27s/step] Training: 44%|████▍ | 30892/70000 [10:56:03<13:59:59, 1.29s/step] Training: 44%|████▍ | 30893/70000 [10:56:05<14:08:30, 1.30s/step] Training: 44%|████▍ | 30894/70000 [10:56:06<14:14:24, 1.31s/step] Training: 44%|████▍ | 30895/70000 [10:56:07<14:17:35, 1.32s/step] Training: 44%|████▍ | 30896/70000 [10:56:09<13:53:00, 1.28s/step] Training: 44%|████▍ | 30897/70000 [10:56:10<13:36:12, 1.25s/step] Training: 44%|████▍ | 30898/70000 [10:56:11<13:52:34, 1.28s/step] Training: 44%|████▍ | 30899/70000 [10:56:12<14:07:32, 1.30s/step] Training: 44%|████▍ | 30900/70000 [10:56:14<14:09:31, 1.30s/step]INFO 2026-03-13 07:06:06 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.19 loss:0.025 grdn:3.297 lr:1.5e-05 updt_s:1.250 data_s:0.019 Training: 44%|████▍ | 30901/70000 [10:56:15<13:57:13, 1.28s/step] Training: 44%|████▍ | 30902/70000 [10:56:16<13:41:40, 1.26s/step] Training: 44%|████▍ | 30903/70000 [10:56:17<13:54:48, 1.28s/step] Training: 44%|████▍ | 30904/70000 [10:56:19<14:01:16, 1.29s/step] Training: 44%|████▍ | 30905/70000 [10:56:20<13:41:38, 1.26s/step] Training: 44%|████▍ | 30906/70000 [10:56:21<14:01:58, 1.29s/step] Training: 44%|████▍ | 30907/70000 [10:56:23<13:51:49, 1.28s/step] Training: 44%|████▍ | 30908/70000 [10:56:24<13:54:24, 1.28s/step] Training: 44%|████▍ | 30909/70000 [10:56:25<13:40:09, 1.26s/step] Training: 44%|████▍ | 30910/70000 [10:56:26<13:55:51, 1.28s/step] Training: 44%|████▍ | 30911/70000 [10:56:28<14:04:29, 1.30s/step] Training: 44%|████▍ | 30912/70000 [10:56:29<14:04:41, 1.30s/step] Training: 44%|████▍ | 30913/70000 [10:56:30<13:43:25, 1.26s/step] Training: 44%|████▍ | 30914/70000 [10:56:32<13:54:37, 1.28s/step] Training: 44%|████▍ | 30915/70000 [10:56:33<13:36:50, 1.25s/step] Training: 44%|████▍ | 30916/70000 [10:56:34<13:52:44, 1.28s/step] Training: 44%|████▍ | 30917/70000 [10:56:35<14:00:27, 1.29s/step] Training: 44%|████▍ | 30918/70000 [10:56:37<14:10:07, 1.31s/step] Training: 44%|████▍ | 30919/70000 [10:56:38<13:53:06, 1.28s/step] Training: 44%|████▍ | 30920/70000 [10:56:39<13:35:53, 1.25s/step] Training: 44%|████▍ | 30921/70000 [10:56:40<13:23:16, 1.23s/step] Training: 44%|████▍ | 30922/70000 [10:56:42<13:41:20, 1.26s/step] Training: 44%|████▍ | 30923/70000 [10:56:43<13:27:44, 1.24s/step] Training: 44%|████▍ | 30924/70000 [10:56:44<13:41:12, 1.26s/step] Training: 44%|████▍ | 30925/70000 [10:56:45<13:52:54, 1.28s/step] Training: 44%|████▍ | 30926/70000 [10:56:47<14:03:38, 1.30s/step] Training: 44%|████▍ | 30927/70000 [10:56:48<13:46:10, 1.27s/step] Training: 44%|████▍ | 30928/70000 [10:56:49<13:53:13, 1.28s/step] Training: 44%|████▍ | 30929/70000 [10:56:51<13:36:29, 1.25s/step] Training: 44%|████▍ | 30930/70000 [10:56:52<13:27:26, 1.24s/step] Training: 44%|████▍ | 30931/70000 [10:56:53<13:17:37, 1.22s/step] Training: 44%|████▍ | 30932/70000 [10:56:54<13:54:39, 1.28s/step] Training: 44%|████▍ | 30933/70000 [10:56:56<13:41:34, 1.26s/step] Training: 44%|████▍ | 30934/70000 [10:56:57<13:30:50, 1.25s/step] Training: 44%|████▍ | 30935/70000 [10:56:58<13:48:40, 1.27s/step] Training: 44%|████▍ | 30936/70000 [10:56:59<13:59:28, 1.29s/step] Training: 44%|████▍ | 30937/70000 [10:57:01<13:40:50, 1.26s/step] Training: 44%|████▍ | 30938/70000 [10:57:02<13:59:25, 1.29s/step] Training: 44%|████▍ | 30939/70000 [10:57:03<13:39:25, 1.26s/step] Training: 44%|████▍ | 30940/70000 [10:57:04<13:32:47, 1.25s/step] Training: 44%|████▍ | 30941/70000 [10:57:06<13:51:01, 1.28s/step] Training: 44%|████▍ | 30942/70000 [10:57:07<13:59:49, 1.29s/step] Training: 44%|████▍ | 30943/70000 [10:57:08<14:06:27, 1.30s/step] Training: 44%|████▍ | 30944/70000 [10:57:10<13:49:06, 1.27s/step] Training: 44%|████▍ | 30945/70000 [10:57:11<13:32:19, 1.25s/step] Training: 44%|████▍ | 30946/70000 [10:57:12<13:47:56, 1.27s/step] Training: 44%|████▍ | 30947/70000 [10:57:13<13:32:12, 1.25s/step] Training: 44%|████▍ | 30948/70000 [10:57:15<13:49:15, 1.27s/step] Training: 44%|████▍ | 30949/70000 [10:57:16<14:22:55, 1.33s/step] Training: 44%|████▍ | 30950/70000 [10:57:17<14:25:38, 1.33s/step] Training: 44%|████▍ | 30951/70000 [10:57:19<14:05:08, 1.30s/step] Training: 44%|████▍ | 30952/70000 [10:57:20<14:12:22, 1.31s/step] Training: 44%|████▍ | 30953/70000 [10:57:21<13:49:15, 1.27s/step] Training: 44%|████▍ | 30954/70000 [10:57:22<13:58:57, 1.29s/step] Training: 44%|████▍ | 30955/70000 [10:57:24<13:40:16, 1.26s/step] Training: 44%|████▍ | 30956/70000 [10:57:25<13:53:53, 1.28s/step] Training: 44%|████▍ | 30957/70000 [10:57:26<14:02:34, 1.29s/step] Training: 44%|████▍ | 30958/70000 [10:57:28<14:11:15, 1.31s/step] Training: 44%|████▍ | 30959/70000 [10:57:29<13:52:36, 1.28s/step] Training: 44%|████▍ | 30960/70000 [10:57:30<14:01:40, 1.29s/step] Training: 44%|████▍ | 30961/70000 [10:57:31<13:42:12, 1.26s/step] Training: 44%|████▍ | 30962/70000 [10:57:33<13:54:30, 1.28s/step] Training: 44%|████▍ | 30963/70000 [10:57:34<13:36:21, 1.25s/step] Training: 44%|████▍ | 30964/70000 [10:57:35<13:32:30, 1.25s/step] Training: 44%|████▍ | 30965/70000 [10:57:36<13:28:28, 1.24s/step] Training: 44%|████▍ | 30966/70000 [10:57:38<13:23:14, 1.23s/step] Training: 44%|████▍ | 30967/70000 [10:57:39<13:40:06, 1.26s/step] Training: 44%|████▍ | 30968/70000 [10:57:40<13:53:16, 1.28s/step] Training: 44%|████▍ | 30969/70000 [10:57:41<13:35:53, 1.25s/step] Training: 44%|████▍ | 30970/70000 [10:57:43<13:56:06, 1.29s/step] Training: 44%|████▍ | 30971/70000 [10:57:44<13:36:33, 1.26s/step] Training: 44%|████▍ | 30972/70000 [10:57:45<13:26:51, 1.24s/step] Training: 44%|████▍ | 30973/70000 [10:57:46<13:30:36, 1.25s/step] Training: 44%|████▍ | 30974/70000 [10:57:48<13:44:55, 1.27s/step] Training: 44%|████▍ | 30975/70000 [10:57:49<13:54:51, 1.28s/step] Training: 44%|████▍ | 30976/70000 [10:57:50<13:40:11, 1.26s/step] Training: 44%|████▍ | 30977/70000 [10:57:52<13:27:11, 1.24s/step] Training: 44%|████▍ | 30978/70000 [10:57:53<13:45:35, 1.27s/step] Training: 44%|████▍ | 30979/70000 [10:57:54<13:29:47, 1.25s/step] Training: 44%|████▍ | 30980/70000 [10:57:55<13:20:15, 1.23s/step] Training: 44%|████▍ | 30981/70000 [10:57:57<14:10:37, 1.31s/step] Training: 44%|████▍ | 30982/70000 [10:57:58<14:37:48, 1.35s/step] Training: 44%|████▍ | 30983/70000 [10:57:59<14:11:32, 1.31s/step] Training: 44%|████▍ | 30984/70000 [10:58:01<14:14:50, 1.31s/step] Training: 44%|████▍ | 30985/70000 [10:58:02<13:50:03, 1.28s/step] Training: 44%|████▍ | 30986/70000 [10:58:03<13:59:17, 1.29s/step] Training: 44%|████▍ | 30987/70000 [10:58:04<13:40:14, 1.26s/step] Training: 44%|████▍ | 30988/70000 [10:58:06<13:53:41, 1.28s/step] Training: 44%|████▍ | 30989/70000 [10:58:07<14:03:11, 1.30s/step] Training: 44%|████▍ | 30990/70000 [10:58:08<14:21:31, 1.33s/step] Training: 44%|████▍ | 30991/70000 [10:58:10<13:59:44, 1.29s/step] Training: 44%|████▍ | 30992/70000 [10:58:11<14:05:44, 1.30s/step] Training: 44%|████▍ | 30993/70000 [10:58:12<13:43:35, 1.27s/step] Training: 44%|████▍ | 30994/70000 [10:58:14<13:53:32, 1.28s/step] Training: 44%|████▍ | 30995/70000 [10:58:15<13:36:01, 1.26s/step] Training: 44%|████▍ | 30996/70000 [10:58:16<13:51:09, 1.28s/step] Training: 44%|████▍ | 30997/70000 [10:58:17<13:39:53, 1.26s/step] Training: 44%|████▍ | 30998/70000 [10:58:18<13:30:59, 1.25s/step] Training: 44%|████▍ | 30999/70000 [10:58:20<14:07:03, 1.30s/step] Training: 44%|████▍ | 31000/70000 [10:58:21<14:13:00, 1.31s/step]INFO 2026-03-13 07:08:13 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.28 loss:0.025 grdn:4.437 lr:1.5e-05 updt_s:1.254 data_s:0.019 Training: 44%|████▍ | 31001/70000 [10:58:22<13:49:28, 1.28s/step] Training: 44%|████▍ | 31002/70000 [10:58:24<14:08:08, 1.30s/step] Training: 44%|████▍ | 31003/70000 [10:58:25<13:45:25, 1.27s/step] Training: 44%|████▍ | 31004/70000 [10:58:26<13:38:53, 1.26s/step] Training: 44%|████▍ | 31005/70000 [10:58:27<13:30:17, 1.25s/step] Training: 44%|████▍ | 31006/70000 [10:58:29<13:51:42, 1.28s/step] Training: 44%|████▍ | 31007/70000 [10:58:30<13:58:55, 1.29s/step] Training: 44%|████▍ | 31008/70000 [10:58:31<13:44:07, 1.27s/step] Training: 44%|████▍ | 31009/70000 [10:58:33<13:28:57, 1.24s/step] Training: 44%|████▍ | 31010/70000 [10:58:34<13:46:45, 1.27s/step] Training: 44%|████▍ | 31011/70000 [10:58:35<13:30:04, 1.25s/step] Training: 44%|████▍ | 31012/70000 [10:58:36<13:18:54, 1.23s/step] Training: 44%|████▍ | 31013/70000 [10:58:38<14:05:09, 1.30s/step] Training: 44%|████▍ | 31014/70000 [10:58:39<14:09:59, 1.31s/step] Training: 44%|████▍ | 31015/70000 [10:58:40<14:16:26, 1.32s/step] Training: 44%|████▍ | 31016/70000 [10:58:42<14:15:30, 1.32s/step] Training: 44%|████▍ | 31017/70000 [10:58:43<13:51:17, 1.28s/step] Training: 44%|████▍ | 31018/70000 [10:58:44<14:00:51, 1.29s/step] Training: 44%|████▍ | 31019/70000 [10:58:45<13:40:29, 1.26s/step] Training: 44%|████▍ | 31020/70000 [10:58:47<13:54:05, 1.28s/step] Training: 44%|████▍ | 31021/70000 [10:58:48<14:03:08, 1.30s/step] Training: 44%|████▍ | 31022/70000 [10:58:49<14:07:27, 1.30s/step] Training: 44%|████▍ | 31023/70000 [10:58:51<14:15:09, 1.32s/step] Training: 44%|████▍ | 31024/70000 [10:58:52<14:15:25, 1.32s/step] Training: 44%|████▍ | 31025/70000 [10:58:53<13:50:08, 1.28s/step] Training: 44%|████▍ | 31026/70000 [10:58:55<13:58:14, 1.29s/step] Training: 44%|████▍ | 31027/70000 [10:58:56<13:37:54, 1.26s/step] Training: 44%|████▍ | 31028/70000 [10:58:57<13:52:14, 1.28s/step] Training: 44%|████▍ | 31029/70000 [10:58:58<13:41:48, 1.27s/step] Training: 44%|████▍ | 31030/70000 [10:58:59<13:30:23, 1.25s/step] Training: 44%|████▍ | 31031/70000 [10:59:01<13:18:53, 1.23s/step] Training: 44%|████▍ | 31032/70000 [10:59:02<13:34:25, 1.25s/step] Training: 44%|████▍ | 31033/70000 [10:59:03<13:21:52, 1.23s/step] Training: 44%|████▍ | 31034/70000 [10:59:05<13:47:51, 1.27s/step] Training: 44%|████▍ | 31035/70000 [10:59:06<13:32:05, 1.25s/step] Training: 44%|████▍ | 31036/70000 [10:59:07<13:26:19, 1.24s/step] Training: 44%|████▍ | 31037/70000 [10:59:08<13:23:16, 1.24s/step] Training: 44%|████▍ | 31038/70000 [10:59:10<13:40:58, 1.26s/step] Training: 44%|████▍ | 31039/70000 [10:59:11<13:37:36, 1.26s/step] Training: 44%|████▍ | 31040/70000 [10:59:12<13:28:14, 1.24s/step] Training: 44%|████▍ | 31041/70000 [10:59:13<13:18:23, 1.23s/step] Training: 44%|████▍ | 31042/70000 [10:59:15<13:37:57, 1.26s/step] Training: 44%|████▍ | 31043/70000 [10:59:16<13:24:20, 1.24s/step] Training: 44%|████▍ | 31044/70000 [10:59:17<13:14:51, 1.22s/step] Training: 44%|████▍ | 31045/70000 [10:59:18<14:02:18, 1.30s/step] Training: 44%|████▍ | 31046/70000 [10:59:20<14:08:40, 1.31s/step] Training: 44%|████▍ | 31047/70000 [10:59:21<13:59:09, 1.29s/step] Training: 44%|████▍ | 31048/70000 [10:59:22<14:07:36, 1.31s/step] Training: 44%|████▍ | 31049/70000 [10:59:23<13:45:19, 1.27s/step] Training: 44%|████▍ | 31050/70000 [10:59:25<13:56:18, 1.29s/step] Training: 44%|████▍ | 31051/70000 [10:59:26<13:37:00, 1.26s/step] Training: 44%|████▍ | 31052/70000 [10:59:27<13:23:44, 1.24s/step] Training: 44%|████▍ | 31053/70000 [10:59:29<13:41:14, 1.27s/step] Training: 44%|████▍ | 31054/70000 [10:59:30<13:52:56, 1.28s/step] Training: 44%|████▍ | 31055/70000 [10:59:31<13:37:57, 1.26s/step] Training: 44%|████▍ | 31056/70000 [10:59:32<14:07:19, 1.31s/step] Training: 44%|████▍ | 31057/70000 [10:59:34<13:44:38, 1.27s/step] Training: 44%|████▍ | 31058/70000 [10:59:35<13:56:33, 1.29s/step] Training: 44%|████▍ | 31059/70000 [10:59:36<13:36:57, 1.26s/step] Training: 44%|████▍ | 31060/70000 [10:59:37<13:38:44, 1.26s/step] Training: 44%|████▍ | 31061/70000 [10:59:39<13:32:05, 1.25s/step] Training: 44%|████▍ | 31062/70000 [10:59:40<13:25:27, 1.24s/step] Training: 44%|████▍ | 31063/70000 [10:59:41<13:42:59, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=68123 Training: 44%|████▍ | 31064/70000 [10:59:42<13:45:56, 1.27s/step] Training: 44%|████▍ | 31065/70000 [10:59:44<13:29:10, 1.25s/step] Training: 44%|████▍ | 31066/70000 [10:59:45<13:52:30, 1.28s/step] Training: 44%|████▍ | 31067/70000 [10:59:46<13:34:19, 1.25s/step] Training: 44%|████▍ | 31068/70000 [10:59:47<13:24:30, 1.24s/step] Training: 44%|████▍ | 31069/70000 [10:59:49<13:21:22, 1.24s/step] Training: 44%|████▍ | 31070/70000 [10:59:50<13:39:22, 1.26s/step] Training: 44%|████▍ | 31071/70000 [10:59:51<13:51:57, 1.28s/step] Training: 44%|████▍ | 31072/70000 [10:59:53<14:04:52, 1.30s/step] Training: 44%|████▍ | 31073/70000 [10:59:54<13:40:15, 1.26s/step] Training: 44%|████▍ | 31074/70000 [10:59:55<13:53:01, 1.28s/step] Training: 44%|████▍ | 31075/70000 [10:59:56<13:35:19, 1.26s/step] Training: 44%|████▍ | 31076/70000 [10:59:58<13:48:11, 1.28s/step] Training: 44%|████▍ | 31077/70000 [10:59:59<14:01:10, 1.30s/step] Training: 44%|████▍ | 31078/70000 [11:00:00<14:07:27, 1.31s/step] Training: 44%|████▍ | 31079/70000 [11:00:02<13:51:58, 1.28s/step] Training: 44%|████▍ | 31080/70000 [11:00:03<14:08:13, 1.31s/step] Training: 44%|████▍ | 31081/70000 [11:00:04<13:43:13, 1.27s/step] Training: 44%|████▍ | 31082/70000 [11:00:05<13:54:15, 1.29s/step] Training: 44%|████▍ | 31083/70000 [11:00:07<13:36:08, 1.26s/step] Training: 44%|████▍ | 31084/70000 [11:00:08<13:50:21, 1.28s/step] Training: 44%|████▍ | 31085/70000 [11:00:09<14:01:09, 1.30s/step] Training: 44%|████▍ | 31086/70000 [11:00:11<13:50:32, 1.28s/step] Training: 44%|████▍ | 31087/70000 [11:00:12<13:39:32, 1.26s/step] Training: 44%|████▍ | 31088/70000 [11:00:13<13:53:59, 1.29s/step] Training: 44%|████▍ | 31089/70000 [11:00:14<14:04:26, 1.30s/step] Training: 44%|████▍ | 31090/70000 [11:00:16<14:06:29, 1.31s/step] Training: 44%|████▍ | 31091/70000 [11:00:17<13:43:29, 1.27s/step] Training: 44%|████▍ | 31092/70000 [11:00:18<13:31:15, 1.25s/step] Training: 44%|████▍ | 31093/70000 [11:00:19<13:27:10, 1.24s/step] Training: 44%|████▍ | 31094/70000 [11:00:21<13:19:37, 1.23s/step] Training: 44%|████▍ | 31095/70000 [11:00:22<13:39:30, 1.26s/step] Training: 44%|████▍ | 31096/70000 [11:00:23<13:32:00, 1.25s/step] Training: 44%|████▍ | 31097/70000 [11:00:25<13:51:23, 1.28s/step] Training: 44%|████▍ | 31098/70000 [11:00:26<14:04:46, 1.30s/step] Training: 44%|████▍ | 31099/70000 [11:00:27<13:42:41, 1.27s/step] Training: 44%|████▍ | 31100/70000 [11:00:28<13:34:47, 1.26s/step]INFO 2026-03-13 07:10:20 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.36 loss:0.024 grdn:3.205 lr:1.5e-05 updt_s:1.250 data_s:0.019 Training: 44%|████▍ | 31101/70000 [11:00:29<13:26:14, 1.24s/step] Training: 44%|████▍ | 31102/70000 [11:00:31<13:42:10, 1.27s/step] Training: 44%|████▍ | 31103/70000 [11:00:32<13:54:45, 1.29s/step] Training: 44%|████▍ | 31104/70000 [11:00:33<13:38:16, 1.26s/step] Training: 44%|████▍ | 31105/70000 [11:00:35<13:49:13, 1.28s/step] Training: 44%|████▍ | 31106/70000 [11:00:36<13:58:34, 1.29s/step] Training: 44%|████▍ | 31107/70000 [11:00:37<13:37:36, 1.26s/step] Training: 44%|████▍ | 31108/70000 [11:00:38<13:23:22, 1.24s/step] Training: 44%|████▍ | 31109/70000 [11:00:40<14:08:21, 1.31s/step] Training: 44%|████▍ | 31110/70000 [11:00:41<14:10:17, 1.31s/step] Training: 44%|████▍ | 31111/70000 [11:00:42<13:55:38, 1.29s/step] Training: 44%|████▍ | 31112/70000 [11:00:44<14:03:35, 1.30s/step] Training: 44%|████▍ | 31113/70000 [11:00:45<14:14:31, 1.32s/step] Training: 44%|████▍ | 31114/70000 [11:00:46<14:16:08, 1.32s/step] Training: 44%|████▍ | 31115/70000 [11:00:48<13:50:45, 1.28s/step] Training: 44%|████▍ | 31116/70000 [11:00:49<13:59:12, 1.29s/step] Training: 44%|████▍ | 31117/70000 [11:00:50<14:04:49, 1.30s/step] Training: 44%|████▍ | 31118/70000 [11:00:51<13:49:55, 1.28s/step] Training: 44%|████▍ | 31119/70000 [11:00:53<13:34:12, 1.26s/step] Training: 44%|████▍ | 31120/70000 [11:00:54<13:47:50, 1.28s/step] Training: 44%|████▍ | 31121/70000 [11:00:55<13:40:52, 1.27s/step] Training: 44%|████▍ | 31122/70000 [11:00:57<13:50:44, 1.28s/step] Training: 44%|████▍ | 31123/70000 [11:00:58<13:32:47, 1.25s/step] Training: 44%|████▍ | 31124/70000 [11:00:59<13:23:36, 1.24s/step] Training: 44%|████▍ | 31125/70000 [11:01:00<13:21:57, 1.24s/step] Training: 44%|████▍ | 31126/70000 [11:01:01<13:18:57, 1.23s/step] Training: 44%|████▍ | 31127/70000 [11:01:03<13:37:40, 1.26s/step] Training: 44%|████▍ | 31128/70000 [11:01:04<13:32:54, 1.25s/step] Training: 44%|████▍ | 31129/70000 [11:01:05<13:21:08, 1.24s/step] Training: 44%|████▍ | 31130/70000 [11:01:07<14:03:34, 1.30s/step] Training: 44%|████▍ | 31131/70000 [11:01:08<13:41:34, 1.27s/step] Training: 44%|████▍ | 31132/70000 [11:01:09<13:32:45, 1.25s/step] Training: 44%|████▍ | 31133/70000 [11:01:10<13:24:44, 1.24s/step] Training: 44%|████▍ | 31134/70000 [11:01:12<13:42:14, 1.27s/step] Training: 44%|████▍ | 31135/70000 [11:01:13<13:52:18, 1.28s/step] Training: 44%|████▍ | 31136/70000 [11:01:14<13:38:28, 1.26s/step] Training: 44%|████▍ | 31137/70000 [11:01:15<13:24:31, 1.24s/step] Training: 44%|████▍ | 31138/70000 [11:01:17<14:00:15, 1.30s/step] Training: 44%|████▍ | 31139/70000 [11:01:18<13:39:03, 1.26s/step] Training: 44%|████▍ | 31140/70000 [11:01:19<13:24:23, 1.24s/step] Training: 44%|████▍ | 31141/70000 [11:01:21<14:08:39, 1.31s/step] Training: 44%|████▍ | 31142/70000 [11:01:22<14:13:32, 1.32s/step] Training: 44%|████▍ | 31143/70000 [11:01:23<13:58:08, 1.29s/step] Training: 44%|████▍ | 31144/70000 [11:01:25<14:05:09, 1.31s/step] Training: 44%|████▍ | 31145/70000 [11:01:26<13:43:20, 1.27s/step] Training: 44%|████▍ | 31146/70000 [11:01:27<13:59:48, 1.30s/step] Training: 44%|████▍ | 31147/70000 [11:01:28<14:01:21, 1.30s/step] Training: 44%|████▍ | 31148/70000 [11:01:30<14:07:01, 1.31s/step] Training: 44%|████▍ | 31149/70000 [11:01:31<14:10:45, 1.31s/step] Training: 44%|████▍ | 31150/70000 [11:01:32<13:54:58, 1.29s/step] Training: 45%|████▍ | 31151/70000 [11:01:33<13:39:03, 1.26s/step] Training: 45%|████▍ | 31152/70000 [11:01:35<13:52:12, 1.29s/step] Training: 45%|████▍ | 31153/70000 [11:01:36<13:33:13, 1.26s/step] Training: 45%|████▍ | 31154/70000 [11:01:37<13:46:49, 1.28s/step] Training: 45%|████▍ | 31155/70000 [11:01:39<14:00:58, 1.30s/step] Training: 45%|████▍ | 31156/70000 [11:01:40<14:00:12, 1.30s/step] Training: 45%|████▍ | 31157/70000 [11:01:41<13:42:44, 1.27s/step] Training: 45%|████▍ | 31158/70000 [11:01:42<13:32:38, 1.26s/step] Training: 45%|████▍ | 31159/70000 [11:01:44<13:47:38, 1.28s/step] Training: 45%|████▍ | 31160/70000 [11:01:45<13:38:00, 1.26s/step] Training: 45%|████▍ | 31161/70000 [11:01:46<13:23:47, 1.24s/step] Training: 45%|████▍ | 31162/70000 [11:01:47<13:47:14, 1.28s/step] Training: 45%|████▍ | 31163/70000 [11:01:49<14:02:32, 1.30s/step] Training: 45%|████▍ | 31164/70000 [11:01:50<14:08:41, 1.31s/step] Training: 45%|████▍ | 31165/70000 [11:01:51<13:56:47, 1.29s/step] Training: 45%|████▍ | 31166/70000 [11:01:53<14:03:17, 1.30s/step] Training: 45%|████▍ | 31167/70000 [11:01:54<14:06:21, 1.31s/step] Training: 45%|████▍ | 31168/70000 [11:01:55<13:47:51, 1.28s/step] Training: 45%|████▍ | 31169/70000 [11:01:56<13:30:45, 1.25s/step] Training: 45%|████▍ | 31170/70000 [11:01:58<13:45:28, 1.28s/step] Training: 45%|████▍ | 31171/70000 [11:01:59<13:30:37, 1.25s/step] Training: 45%|████▍ | 31172/70000 [11:02:00<13:21:13, 1.24s/step] Training: 45%|████▍ | 31173/70000 [11:02:01<13:12:31, 1.22s/step] Training: 45%|████▍ | 31174/70000 [11:02:03<14:01:46, 1.30s/step] Training: 45%|████▍ | 31175/70000 [11:02:04<13:45:00, 1.27s/step] Training: 45%|████▍ | 31176/70000 [11:02:05<13:54:21, 1.29s/step] Training: 45%|████▍ | 31177/70000 [11:02:07<13:35:12, 1.26s/step] Training: 45%|████▍ | 31178/70000 [11:02:08<13:56:23, 1.29s/step] Training: 45%|████▍ | 31179/70000 [11:02:09<13:42:14, 1.27s/step] Training: 45%|████▍ | 31180/70000 [11:02:11<13:54:49, 1.29s/step] Training: 45%|████▍ | 31181/70000 [11:02:12<13:35:06, 1.26s/step] Training: 45%|████▍ | 31182/70000 [11:02:13<13:29:06, 1.25s/step] Training: 45%|████▍ | 31183/70000 [11:02:14<13:19:20, 1.24s/step] Training: 45%|████▍ | 31184/70000 [11:02:15<13:36:41, 1.26s/step] Training: 45%|████▍ | 31185/70000 [11:02:17<13:22:52, 1.24s/step] Training: 45%|████▍ | 31186/70000 [11:02:18<13:39:06, 1.27s/step] Training: 45%|████▍ | 31187/70000 [11:02:19<13:37:26, 1.26s/step] Training: 45%|████▍ | 31188/70000 [11:02:21<13:46:57, 1.28s/step] Training: 45%|████▍ | 31189/70000 [11:02:22<13:37:43, 1.26s/step] Training: 45%|████▍ | 31190/70000 [11:02:23<13:28:36, 1.25s/step] Training: 45%|████▍ | 31191/70000 [11:02:24<13:43:23, 1.27s/step] Training: 45%|████▍ | 31192/70000 [11:02:26<13:33:20, 1.26s/step] Training: 45%|████▍ | 31193/70000 [11:02:27<13:19:55, 1.24s/step] Training: 45%|████▍ | 31194/70000 [11:02:28<13:44:17, 1.27s/step] Training: 45%|████▍ | 31195/70000 [11:02:29<13:27:17, 1.25s/step] Training: 45%|████▍ | 31196/70000 [11:02:31<14:06:42, 1.31s/step] Training: 45%|████▍ | 31197/70000 [11:02:32<13:47:44, 1.28s/step] Training: 45%|████▍ | 31198/70000 [11:02:33<14:00:42, 1.30s/step] Training: 45%|████▍ | 31199/70000 [11:02:35<14:05:45, 1.31s/step] Training: 45%|████▍ | 31200/70000 [11:02:36<13:48:24, 1.28s/step]INFO 2026-03-13 07:12:28 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.45 loss:0.025 grdn:3.785 lr:1.5e-05 updt_s:1.254 data_s:0.019 Training: 45%|████▍ | 31201/70000 [11:02:37<13:30:25, 1.25s/step] Training: 45%|████▍ | 31202/70000 [11:02:38<13:45:29, 1.28s/step] Training: 45%|████▍ | 31203/70000 [11:02:40<13:28:38, 1.25s/step] Training: 45%|████▍ | 31204/70000 [11:02:41<13:32:51, 1.26s/step] Training: 45%|████▍ | 31205/70000 [11:02:42<13:46:46, 1.28s/step] Training: 45%|████▍ | 31206/70000 [11:02:43<13:55:45, 1.29s/step] Training: 45%|████▍ | 31207/70000 [11:02:45<13:43:42, 1.27s/step] Training: 45%|████▍ | 31208/70000 [11:02:46<13:54:38, 1.29s/step] Training: 45%|████▍ | 31209/70000 [11:02:47<13:34:20, 1.26s/step] Training: 45%|████▍ | 31210/70000 [11:02:49<13:55:06, 1.29s/step] Training: 45%|████▍ | 31211/70000 [11:02:50<13:35:22, 1.26s/step] Training: 45%|████▍ | 31212/70000 [11:02:51<13:48:23, 1.28s/step] Training: 45%|████▍ | 31213/70000 [11:02:52<14:02:23, 1.30s/step] Training: 45%|████▍ | 31214/70000 [11:02:54<13:49:07, 1.28s/step] Training: 45%|████▍ | 31215/70000 [11:02:55<13:35:01, 1.26s/step] Training: 45%|████▍ | 31216/70000 [11:02:56<13:49:16, 1.28s/step] Training: 45%|████▍ | 31217/70000 [11:02:57<13:30:44, 1.25s/step] Training: 45%|████▍ | 31218/70000 [11:02:59<13:45:07, 1.28s/step] Training: 45%|████▍ | 31219/70000 [11:03:00<13:27:51, 1.25s/step] Training: 45%|████▍ | 31220/70000 [11:03:01<13:41:51, 1.27s/step] Training: 45%|████▍ | 31221/70000 [11:03:03<13:56:35, 1.29s/step] Training: 45%|████▍ | 31222/70000 [11:03:04<13:37:38, 1.27s/step] Training: 45%|████▍ | 31223/70000 [11:03:05<13:51:06, 1.29s/step] Training: 45%|████▍ | 31224/70000 [11:03:06<13:40:14, 1.27s/step] Training: 45%|████▍ | 31225/70000 [11:03:08<13:24:38, 1.25s/step] Training: 45%|████▍ | 31226/70000 [11:03:09<13:47:12, 1.28s/step] Training: 45%|████▍ | 31227/70000 [11:03:10<13:29:31, 1.25s/step] Training: 45%|████▍ | 31228/70000 [11:03:11<13:42:53, 1.27s/step] Training: 45%|████▍ | 31229/70000 [11:03:13<13:44:28, 1.28s/step] Training: 45%|████▍ | 31230/70000 [11:03:14<13:58:12, 1.30s/step] Training: 45%|████▍ | 31231/70000 [11:03:15<14:06:49, 1.31s/step] Training: 45%|████▍ | 31232/70000 [11:03:17<13:46:58, 1.28s/step] Training: 45%|████▍ | 31233/70000 [11:03:18<13:29:16, 1.25s/step] Training: 45%|████▍ | 31234/70000 [11:03:19<13:42:37, 1.27s/step] Training: 45%|████▍ | 31235/70000 [11:03:20<13:26:55, 1.25s/step] Training: 45%|████▍ | 31236/70000 [11:03:22<13:18:56, 1.24s/step] Training: 45%|████▍ | 31237/70000 [11:03:23<13:37:00, 1.26s/step] Training: 45%|████▍ | 31238/70000 [11:03:24<14:13:20, 1.32s/step] Training: 45%|████▍ | 31239/70000 [11:03:26<13:54:03, 1.29s/step] Training: 45%|████▍ | 31240/70000 [11:03:27<13:59:55, 1.30s/step] Training: 45%|████▍ | 31241/70000 [11:03:28<13:38:00, 1.27s/step] Training: 45%|████▍ | 31242/70000 [11:03:29<13:58:19, 1.30s/step] Training: 45%|████▍ | 31243/70000 [11:03:31<13:37:20, 1.27s/step] Training: 45%|████▍ | 31244/70000 [11:03:32<13:50:46, 1.29s/step] Training: 45%|████▍ | 31245/70000 [11:03:33<14:04:50, 1.31s/step] Training: 45%|████▍ | 31246/70000 [11:03:35<14:07:30, 1.31s/step] Training: 45%|████▍ | 31247/70000 [11:03:36<13:46:05, 1.28s/step] Training: 45%|████▍ | 31248/70000 [11:03:37<13:54:27, 1.29s/step] Training: 45%|████▍ | 31249/70000 [11:03:38<13:34:06, 1.26s/step] Training: 45%|████▍ | 31250/70000 [11:03:40<13:47:46, 1.28s/step] Training: 45%|████▍ | 31251/70000 [11:03:41<13:29:29, 1.25s/step] Training: 45%|████▍ | 31252/70000 [11:03:42<13:43:19, 1.27s/step] Training: 45%|████▍ | 31253/70000 [11:03:43<13:27:42, 1.25s/step] Training: 45%|████▍ | 31254/70000 [11:03:45<13:45:42, 1.28s/step] Training: 45%|████▍ | 31255/70000 [11:03:46<13:54:35, 1.29s/step] Training: 45%|████▍ | 31256/70000 [11:03:47<13:42:31, 1.27s/step] Training: 45%|████▍ | 31257/70000 [11:03:48<13:26:18, 1.25s/step] Training: 45%|████▍ | 31258/70000 [11:03:50<13:48:37, 1.28s/step] Training: 45%|████▍ | 31259/70000 [11:03:51<13:30:39, 1.26s/step] Training: 45%|████▍ | 31260/70000 [11:03:52<13:45:57, 1.28s/step] Training: 45%|████▍ | 31261/70000 [11:03:54<13:29:18, 1.25s/step] Training: 45%|████▍ | 31262/70000 [11:03:55<14:02:25, 1.30s/step] Training: 45%|████▍ | 31263/70000 [11:03:56<14:07:11, 1.31s/step] Training: 45%|████▍ | 31264/70000 [11:03:58<13:46:47, 1.28s/step] Training: 45%|████▍ | 31265/70000 [11:03:59<13:29:33, 1.25s/step] Training: 45%|████▍ | 31266/70000 [11:04:00<13:44:00, 1.28s/step] Training: 45%|████▍ | 31267/70000 [11:04:01<13:28:08, 1.25s/step] Training: 45%|████▍ | 31268/70000 [11:04:02<13:19:29, 1.24s/step] Training: 45%|████▍ | 31269/70000 [11:04:04<13:10:21, 1.22s/step] Training: 45%|████▍ | 31270/70000 [11:04:05<13:56:26, 1.30s/step] Training: 45%|████▍ | 31271/70000 [11:04:06<13:42:21, 1.27s/step] Training: 45%|████▍ | 31272/70000 [11:04:08<13:52:42, 1.29s/step] Training: 45%|████▍ | 31273/70000 [11:04:09<13:33:24, 1.26s/step] Training: 45%|████▍ | 31274/70000 [11:04:10<13:52:50, 1.29s/step] Training: 45%|████▍ | 31275/70000 [11:04:11<13:33:21, 1.26s/step] Training: 45%|████▍ | 31276/70000 [11:04:13<13:46:29, 1.28s/step] Training: 45%|████▍ | 31277/70000 [11:04:14<13:29:07, 1.25s/step] Training: 45%|████▍ | 31278/70000 [11:04:15<13:53:35, 1.29s/step] Training: 45%|████▍ | 31279/70000 [11:04:16<13:38:10, 1.27s/step] Training: 45%|████▍ | 31280/70000 [11:04:18<13:51:17, 1.29s/step] Training: 45%|████▍ | 31281/70000 [11:04:19<13:32:13, 1.26s/step] Training: 45%|████▍ | 31282/70000 [11:04:20<13:44:41, 1.28s/step] Training: 45%|████▍ | 31283/70000 [11:04:22<13:27:57, 1.25s/step] Training: 45%|████▍ | 31284/70000 [11:04:23<13:42:49, 1.28s/step] Training: 45%|████▍ | 31285/70000 [11:04:24<13:26:39, 1.25s/step] Training: 45%|████▍ | 31286/70000 [11:04:25<13:24:30, 1.25s/step] Training: 45%|████▍ | 31287/70000 [11:04:27<13:40:57, 1.27s/step] Training: 45%|████▍ | 31288/70000 [11:04:28<13:33:53, 1.26s/step] Training: 45%|████▍ | 31289/70000 [11:04:29<13:20:05, 1.24s/step] Training: 45%|████▍ | 31290/70000 [11:04:30<13:16:35, 1.23s/step] Training: 45%|████▍ | 31291/70000 [11:04:32<13:31:44, 1.26s/step] Training: 45%|████▍ | 31292/70000 [11:04:33<13:48:53, 1.28s/step] Training: 45%|████▍ | 31293/70000 [11:04:34<13:30:32, 1.26s/step] Training: 45%|████▍ | 31294/70000 [11:04:35<13:45:00, 1.28s/step] Training: 45%|████▍ | 31295/70000 [11:04:37<14:09:25, 1.32s/step] Training: 45%|████▍ | 31296/70000 [11:04:38<13:47:05, 1.28s/step] Training: 45%|████▍ | 31297/70000 [11:04:39<13:29:19, 1.25s/step] Training: 45%|████▍ | 31298/70000 [11:04:41<13:43:56, 1.28s/step] Training: 45%|████▍ | 31299/70000 [11:04:42<13:27:10, 1.25s/step] Training: 45%|████▍ | 31300/70000 [11:04:43<13:20:04, 1.24s/step]INFO 2026-03-13 07:14:35 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.53 loss:0.025 grdn:3.805 lr:1.5e-05 updt_s:1.250 data_s:0.019 Training: 45%|████▍ | 31301/70000 [11:04:44<13:11:07, 1.23s/step] Training: 45%|████▍ | 31302/70000 [11:04:46<13:32:55, 1.26s/step] Training: 45%|████▍ | 31303/70000 [11:04:47<13:42:38, 1.28s/step] Training: 45%|████▍ | 31304/70000 [11:04:48<13:50:51, 1.29s/step] Training: 45%|████▍ | 31305/70000 [11:04:49<13:32:35, 1.26s/step] Training: 45%|████▍ | 31306/70000 [11:04:51<13:48:38, 1.28s/step] Training: 45%|████▍ | 31307/70000 [11:04:52<13:29:58, 1.26s/step] Training: 45%|████▍ | 31308/70000 [11:04:53<13:45:20, 1.28s/step] Training: 45%|████▍ | 31309/70000 [11:04:54<13:28:09, 1.25s/step] Training: 45%|████▍ | 31310/70000 [11:04:56<13:50:41, 1.29s/step] Training: 45%|████▍ | 31311/70000 [11:04:57<14:04:26, 1.31s/step] Training: 45%|████▍ | 31312/70000 [11:04:58<14:06:18, 1.31s/step] Training: 45%|████▍ | 31313/70000 [11:05:00<13:42:01, 1.27s/step] Training: 45%|████▍ | 31314/70000 [11:05:01<13:53:52, 1.29s/step] Training: 45%|████▍ | 31315/70000 [11:05:02<13:35:12, 1.26s/step] Training: 45%|████▍ | 31316/70000 [11:05:04<13:48:52, 1.29s/step] Training: 45%|████▍ | 31317/70000 [11:05:05<13:32:10, 1.26s/step] Training: 45%|████▍ | 31318/70000 [11:05:06<13:24:23, 1.25s/step] Training: 45%|████▍ | 31319/70000 [11:05:07<13:49:32, 1.29s/step] Training: 45%|████▍ | 31320/70000 [11:05:09<13:35:20, 1.26s/step] Training: 45%|████▍ | 31321/70000 [11:05:10<13:21:41, 1.24s/step] Training: 45%|████▍ | 31322/70000 [11:05:11<13:18:05, 1.24s/step] Training: 45%|████▍ | 31323/70000 [11:05:12<13:33:21, 1.26s/step] Training: 45%|████▍ | 31324/70000 [11:05:14<13:46:34, 1.28s/step] Training: 45%|████▍ | 31325/70000 [11:05:15<13:29:54, 1.26s/step] Training: 45%|████▍ | 31326/70000 [11:05:16<13:44:03, 1.28s/step] Training: 45%|████▍ | 31327/70000 [11:05:17<13:55:03, 1.30s/step] Training: 45%|████▍ | 31328/70000 [11:05:19<14:04:25, 1.31s/step] Training: 45%|████▍ | 31329/70000 [11:05:20<13:39:39, 1.27s/step] Training: 45%|████▍ | 31330/70000 [11:05:21<13:50:58, 1.29s/step] Training: 45%|████▍ | 31331/70000 [11:05:22<13:31:46, 1.26s/step] Training: 45%|████▍ | 31332/70000 [11:05:24<13:24:24, 1.25s/step] Training: 45%|████▍ | 31333/70000 [11:05:25<13:12:59, 1.23s/step] Training: 45%|████▍ | 31334/70000 [11:05:26<13:32:31, 1.26s/step] Training: 45%|████▍ | 31335/70000 [11:05:27<13:26:54, 1.25s/step] Training: 45%|████▍ | 31336/70000 [11:05:29<13:58:14, 1.30s/step] Training: 45%|████▍ | 31337/70000 [11:05:30<13:36:43, 1.27s/step] Training: 45%|████▍ | 31338/70000 [11:05:31<13:49:20, 1.29s/step] Training: 45%|████▍ | 31339/70000 [11:05:33<13:30:13, 1.26s/step] Training: 45%|████▍ | 31340/70000 [11:05:34<13:47:03, 1.28s/step] Training: 45%|████▍ | 31341/70000 [11:05:35<13:29:25, 1.26s/step] Training: 45%|████▍ | 31342/70000 [11:05:36<13:50:04, 1.29s/step] Training: 45%|████▍ | 31343/70000 [11:05:38<13:34:51, 1.26s/step] Training: 45%|████▍ | 31344/70000 [11:05:39<14:07:55, 1.32s/step] Training: 45%|████▍ | 31345/70000 [11:05:40<13:43:03, 1.28s/step] Training: 45%|████▍ | 31346/70000 [11:05:42<13:52:49, 1.29s/step] Training: 45%|████▍ | 31347/70000 [11:05:43<13:32:15, 1.26s/step] Training: 45%|████▍ | 31348/70000 [11:05:44<13:45:13, 1.28s/step] Training: 45%|████▍ | 31349/70000 [11:05:45<13:27:42, 1.25s/step] Training: 45%|████▍ | 31350/70000 [11:05:47<13:17:55, 1.24s/step] Training: 45%|████▍ | 31351/70000 [11:05:48<13:35:35, 1.27s/step] Training: 45%|████▍ | 31352/70000 [11:05:49<14:04:30, 1.31s/step] Training: 45%|████▍ | 31353/70000 [11:05:50<13:39:05, 1.27s/step] Training: 45%|████▍ | 31354/70000 [11:05:52<13:29:12, 1.26s/step] Training: 45%|████▍ | 31355/70000 [11:05:53<13:40:34, 1.27s/step] Training: 45%|████▍ | 31356/70000 [11:05:54<13:50:47, 1.29s/step] Training: 45%|████▍ | 31357/70000 [11:05:56<13:31:47, 1.26s/step] Training: 45%|████▍ | 31358/70000 [11:05:57<13:45:13, 1.28s/step] Training: 45%|████▍ | 31359/70000 [11:05:58<13:52:58, 1.29s/step] Training: 45%|████▍ | 31360/70000 [11:05:59<13:40:38, 1.27s/step] Training: 45%|████▍ | 31361/70000 [11:06:01<13:22:09, 1.25s/step] Training: 45%|████▍ | 31362/70000 [11:06:02<13:38:02, 1.27s/step] Training: 45%|████▍ | 31363/70000 [11:06:03<13:21:55, 1.25s/step] Training: 45%|████▍ | 31364/70000 [11:06:04<13:15:42, 1.24s/step] Training: 45%|████▍ | 31365/70000 [11:06:06<13:06:54, 1.22s/step] Training: 45%|████▍ | 31366/70000 [11:06:07<13:27:27, 1.25s/step] Training: 45%|████▍ | 31367/70000 [11:06:08<13:38:19, 1.27s/step] Training: 45%|████▍ | 31368/70000 [11:06:09<13:49:24, 1.29s/step] Training: 45%|████▍ | 31369/70000 [11:06:11<13:59:01, 1.30s/step] Training: 45%|████▍ | 31370/70000 [11:06:12<14:22:01, 1.34s/step] Training: 45%|████▍ | 31371/70000 [11:06:13<13:54:05, 1.30s/step] Training: 45%|████▍ | 31372/70000 [11:06:15<14:01:16, 1.31s/step] Training: 45%|████▍ | 31373/70000 [11:06:16<13:38:53, 1.27s/step] Training: 45%|████▍ | 31374/70000 [11:06:17<13:48:21, 1.29s/step] Training: 45%|████▍ | 31375/70000 [11:06:19<13:54:53, 1.30s/step] Training: 45%|████▍ | 31376/70000 [11:06:20<13:59:47, 1.30s/step] Training: 45%|████▍ | 31377/70000 [11:06:21<13:59:06, 1.30s/step] Training: 45%|████▍ | 31378/70000 [11:06:23<14:02:24, 1.31s/step] Training: 45%|████▍ | 31379/70000 [11:06:24<13:39:19, 1.27s/step] Training: 45%|████▍ | 31380/70000 [11:06:25<13:48:38, 1.29s/step] Training: 45%|████▍ | 31381/70000 [11:06:26<13:29:49, 1.26s/step] Training: 45%|████▍ | 31382/70000 [11:06:27<13:20:19, 1.24s/step] Training: 45%|████▍ | 31383/70000 [11:06:29<13:10:49, 1.23s/step] Training: 45%|████▍ | 31384/70000 [11:06:30<13:25:28, 1.25s/step] Training: 45%|████▍ | 31385/70000 [11:06:31<13:46:38, 1.28s/step] Training: 45%|████▍ | 31386/70000 [11:06:33<13:36:04, 1.27s/step] Training: 45%|████▍ | 31387/70000 [11:06:34<13:20:43, 1.24s/step] Training: 45%|████▍ | 31388/70000 [11:06:35<13:36:19, 1.27s/step] Training: 45%|████▍ | 31389/70000 [11:06:36<13:21:16, 1.25s/step] Training: 45%|████▍ | 31390/70000 [11:06:38<13:36:50, 1.27s/step] Training: 45%|████▍ | 31391/70000 [11:06:39<14:05:04, 1.31s/step] Training: 45%|████▍ | 31392/70000 [11:06:40<13:45:25, 1.28s/step] Training: 45%|████▍ | 31393/70000 [11:06:41<13:27:48, 1.26s/step] Training: 45%|████▍ | 31394/70000 [11:06:43<14:01:31, 1.31s/step] Training: 45%|████▍ | 31395/70000 [11:06:44<13:38:44, 1.27s/step] Training: 45%|████▍ | 31396/70000 [11:06:45<13:25:28, 1.25s/step] Training: 45%|████▍ | 31397/70000 [11:06:46<13:13:44, 1.23s/step] Training: 45%|████▍ | 31398/70000 [11:06:48<13:33:27, 1.26s/step] Training: 45%|████▍ | 31399/70000 [11:06:49<13:52:49, 1.29s/step] Training: 45%|████▍ | 31400/70000 [11:06:50<14:01:07, 1.31s/step]INFO 2026-03-13 07:16:43 ot_train.py:435 step:31K smpl:2M ep:7K epch:26.61 loss:0.024 grdn:3.967 lr:1.5e-05 updt_s:1.254 data_s:0.019 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=2815 Training: 45%|████▍ | 31401/70000 [11:06:52<13:37:55, 1.27s/step] Training: 45%|████▍ | 31402/70000 [11:06:53<14:12:37, 1.33s/step] Training: 45%|████▍ | 31403/70000 [11:06:54<13:46:30, 1.28s/step] Training: 45%|████▍ | 31404/70000 [11:06:56<13:55:01, 1.30s/step] Training: 45%|████▍ | 31405/70000 [11:06:57<13:34:22, 1.27s/step] Training: 45%|████▍ | 31406/70000 [11:06:58<13:48:02, 1.29s/step] Training: 45%|████▍ | 31407/70000 [11:06:59<13:36:19, 1.27s/step] Training: 45%|████▍ | 31408/70000 [11:07:01<13:48:13, 1.29s/step] Training: 45%|████▍ | 31409/70000 [11:07:02<13:30:10, 1.26s/step] Training: 45%|████▍ | 31410/70000 [11:07:03<13:42:43, 1.28s/step] Training: 45%|████▍ | 31411/70000 [11:07:04<13:25:21, 1.25s/step] Training: 45%|████▍ | 31412/70000 [11:07:06<13:41:33, 1.28s/step] Training: 45%|████▍ | 31413/70000 [11:07:07<13:24:39, 1.25s/step] Training: 45%|████▍ | 31414/70000 [11:07:08<13:16:55, 1.24s/step] Training: 45%|████▍ | 31415/70000 [11:07:09<13:35:14, 1.27s/step] Training: 45%|████▍ | 31416/70000 [11:07:11<13:25:32, 1.25s/step] Training: 45%|████▍ | 31417/70000 [11:07:12<13:13:27, 1.23s/step] Training: 45%|████▍ | 31418/70000 [11:07:13<13:16:02, 1.24s/step] Training: 45%|████▍ | 31419/70000 [11:07:14<13:06:38, 1.22s/step] Training: 45%|████▍ | 31420/70000 [11:07:16<13:26:09, 1.25s/step] Training: 45%|████▍ | 31421/70000 [11:07:17<13:15:01, 1.24s/step] Training: 45%|████▍ | 31422/70000 [11:07:18<13:32:45, 1.26s/step] Training: 45%|████▍ | 31423/70000 [11:07:20<13:46:09, 1.28s/step] Training: 45%|████▍ | 31424/70000 [11:07:21<13:31:23, 1.26s/step] Training: 45%|████▍ | 31425/70000 [11:07:22<13:17:11, 1.24s/step] Training: 45%|████▍ | 31426/70000 [11:07:23<13:34:10, 1.27s/step] Training: 45%|████▍ | 31427/70000 [11:07:24<13:19:41, 1.24s/step] Training: 45%|████▍ | 31428/70000 [11:07:26<13:11:09, 1.23s/step] Training: 45%|████▍ | 31429/70000 [11:07:27<13:03:37, 1.22s/step] Training: 45%|████▍ | 31430/70000 [11:07:28<13:24:37, 1.25s/step] Training: 45%|████▍ | 31431/70000 [11:07:29<13:20:03, 1.24s/step] Training: 45%|████▍ | 31432/70000 [11:07:31<13:34:48, 1.27s/step] Training: 45%|████▍ | 31433/70000 [11:07:32<13:45:01, 1.28s/step] Training: 45%|████▍ | 31434/70000 [11:07:33<13:53:57, 1.30s/step] Training: 45%|████▍ | 31435/70000 [11:07:35<14:04:05, 1.31s/step] Training: 45%|████▍ | 31436/70000 [11:07:36<14:05:51, 1.32s/step] Training: 45%|████▍ | 31437/70000 [11:07:37<13:42:11, 1.28s/step] Training: 45%|████▍ | 31438/70000 [11:07:38<13:32:59, 1.26s/step] Training: 45%|████▍ | 31439/70000 [11:07:40<13:23:59, 1.25s/step] Training: 45%|████▍ | 31440/70000 [11:07:41<13:36:33, 1.27s/step] Training: 45%|████▍ | 31441/70000 [11:07:42<13:31:39, 1.26s/step] Training: 45%|████▍ | 31442/70000 [11:07:44<13:45:07, 1.28s/step] Training: 45%|████▍ | 31443/70000 [11:07:45<13:42:09, 1.28s/step] Training: 45%|████▍ | 31444/70000 [11:07:46<13:52:32, 1.30s/step] Training: 45%|████▍ | 31445/70000 [11:07:47<13:32:47, 1.26s/step] Training: 45%|████▍ | 31446/70000 [11:07:49<13:23:09, 1.25s/step] Training: 45%|████▍ | 31447/70000 [11:07:50<13:42:33, 1.28s/step] Training: 45%|████▍ | 31448/70000 [11:07:51<13:25:25, 1.25s/step] Training: 45%|████▍ | 31449/70000 [11:07:52<13:16:21, 1.24s/step] Training: 45%|████▍ | 31450/70000 [11:07:54<13:17:21, 1.24s/step] Training: 45%|████▍ | 31451/70000 [11:07:55<13:07:08, 1.23s/step] Training: 45%|████▍ | 31452/70000 [11:07:56<13:48:54, 1.29s/step] Training: 45%|████▍ | 31453/70000 [11:07:57<13:29:46, 1.26s/step] Training: 45%|████▍ | 31454/70000 [11:07:59<13:43:29, 1.28s/step] Training: 45%|████▍ | 31455/70000 [11:08:00<13:53:38, 1.30s/step] Training: 45%|████▍ | 31456/70000 [11:08:01<13:33:05, 1.27s/step] Training: 45%|████▍ | 31457/70000 [11:08:03<13:44:29, 1.28s/step] Training: 45%|████▍ | 31458/70000 [11:08:04<13:52:39, 1.30s/step] Training: 45%|████▍ | 31459/70000 [11:08:05<14:04:35, 1.31s/step] Training: 45%|████▍ | 31460/70000 [11:08:06<13:42:04, 1.28s/step] Training: 45%|████▍ | 31461/70000 [11:08:08<13:24:48, 1.25s/step] Training: 45%|████▍ | 31462/70000 [11:08:09<13:38:41, 1.27s/step] Training: 45%|████▍ | 31463/70000 [11:08:10<13:31:49, 1.26s/step] Training: 45%|████▍ | 31464/70000 [11:08:11<13:15:47, 1.24s/step] Training: 45%|████▍ | 31465/70000 [11:08:13<13:32:10, 1.26s/step] Training: 45%|████▍ | 31466/70000 [11:08:14<13:44:16, 1.28s/step] Training: 45%|████▍ | 31467/70000 [11:08:15<13:25:39, 1.25s/step] Training: 45%|████▍ | 31468/70000 [11:08:17<14:03:04, 1.31s/step] Training: 45%|████▍ | 31469/70000 [11:08:18<13:39:49, 1.28s/step] Training: 45%|████▍ | 31470/70000 [11:08:19<13:31:05, 1.26s/step] Training: 45%|████▍ | 31471/70000 [11:08:20<13:26:24, 1.26s/step] Training: 45%|████▍ | 31472/70000 [11:08:22<13:13:39, 1.24s/step] Training: 45%|████▍ | 31473/70000 [11:08:23<13:31:36, 1.26s/step] Training: 45%|████▍ | 31474/70000 [11:08:24<13:43:21, 1.28s/step] Training: 45%|████▍ | 31475/70000 [11:08:25<13:25:23, 1.25s/step] Training: 45%|████▍ | 31476/70000 [11:08:27<14:03:39, 1.31s/step] Training: 45%|████▍ | 31477/70000 [11:08:28<13:40:01, 1.28s/step] Training: 45%|████▍ | 31478/70000 [11:08:29<13:30:44, 1.26s/step] Training: 45%|████▍ | 31479/70000 [11:08:31<13:44:13, 1.28s/step] Training: 45%|████▍ | 31480/70000 [11:08:32<13:26:07, 1.26s/step] Training: 45%|████▍ | 31481/70000 [11:08:33<13:16:22, 1.24s/step] Training: 45%|████▍ | 31482/70000 [11:08:34<13:18:21, 1.24s/step] Training: 45%|████▍ | 31483/70000 [11:08:35<13:08:19, 1.23s/step] Training: 45%|████▍ | 31484/70000 [11:08:37<13:28:47, 1.26s/step] Training: 45%|████▍ | 31485/70000 [11:08:38<13:15:20, 1.24s/step] Training: 45%|████▍ | 31486/70000 [11:08:39<13:05:53, 1.22s/step] Training: 45%|████▍ | 31487/70000 [11:08:41<13:52:12, 1.30s/step] Training: 45%|████▍ | 31488/70000 [11:08:42<13:56:20, 1.30s/step] Training: 45%|████▍ | 31489/70000 [11:08:43<14:01:35, 1.31s/step] Training: 45%|████▍ | 31490/70000 [11:08:45<14:03:28, 1.31s/step] Training: 45%|████▍ | 31491/70000 [11:08:46<13:40:02, 1.28s/step] Training: 45%|████▍ | 31492/70000 [11:08:47<13:32:34, 1.27s/step] Training: 45%|████▍ | 31493/70000 [11:08:48<13:19:19, 1.25s/step] Training: 45%|████▍ | 31494/70000 [11:08:50<13:36:56, 1.27s/step] Training: 45%|████▍ | 31495/70000 [11:08:51<13:27:11, 1.26s/step] Training: 45%|████▍ | 31496/70000 [11:08:52<13:35:25, 1.27s/step] Training: 45%|████▍ | 31497/70000 [11:08:53<13:46:29, 1.29s/step] Training: 45%|████▍ | 31498/70000 [11:08:55<13:54:04, 1.30s/step] Training: 45%|████▍ | 31499/70000 [11:08:56<13:32:53, 1.27s/step] Training: 45%|████▌ | 31500/70000 [11:08:57<13:44:44, 1.29s/step]INFO 2026-03-13 07:18:49 ot_train.py:435 step:32K smpl:2M ep:7K epch:26.70 loss:0.026 grdn:4.557 lr:1.5e-05 updt_s:1.246 data_s:0.019 Training: 45%|████▌ | 31501/70000 [11:08:58<13:27:37, 1.26s/step] Training: 45%|████▌ | 31502/70000 [11:09:00<13:18:03, 1.24s/step] Training: 45%|████▌ | 31503/70000 [11:09:01<13:11:02, 1.23s/step] Training: 45%|████▌ | 31504/70000 [11:09:02<13:03:00, 1.22s/step] Training: 45%|████▌ | 31505/70000 [11:09:03<13:24:23, 1.25s/step] Training: 45%|████▌ | 31506/70000 [11:09:05<13:38:16, 1.28s/step] Training: 45%|████▌ | 31507/70000 [11:09:06<13:21:39, 1.25s/step] Training: 45%|████▌ | 31508/70000 [11:09:07<13:40:17, 1.28s/step] Training: 45%|████▌ | 31509/70000 [11:09:09<13:51:41, 1.30s/step] Training: 45%|████▌ | 31510/70000 [11:09:10<13:37:22, 1.27s/step] Training: 45%|████▌ | 31511/70000 [11:09:11<13:47:26, 1.29s/step] Training: 45%|████▌ | 31512/70000 [11:09:12<13:50:41, 1.29s/step] Training: 45%|████▌ | 31513/70000 [11:09:14<13:51:03, 1.30s/step] Training: 45%|████▌ | 31514/70000 [11:09:15<13:40:29, 1.28s/step] Training: 45%|████▌ | 31515/70000 [11:09:16<13:23:49, 1.25s/step] Training: 45%|████▌ | 31516/70000 [11:09:17<13:37:49, 1.28s/step] Training: 45%|████▌ | 31517/70000 [11:09:19<13:33:42, 1.27s/step] Training: 45%|████▌ | 31518/70000 [11:09:20<13:17:11, 1.24s/step] Training: 45%|████▌ | 31519/70000 [11:09:21<14:01:12, 1.31s/step] Training: 45%|████▌ | 31520/70000 [11:09:23<14:08:17, 1.32s/step] Training: 45%|████▌ | 31521/70000 [11:09:24<13:42:13, 1.28s/step] Training: 45%|████▌ | 31522/70000 [11:09:25<13:52:07, 1.30s/step] Training: 45%|████▌ | 31523/70000 [11:09:26<13:31:46, 1.27s/step] Training: 45%|████▌ | 31524/70000 [11:09:28<13:19:06, 1.25s/step] Training: 45%|████▌ | 31525/70000 [11:09:29<13:19:30, 1.25s/step] Training: 45%|████▌ | 31526/70000 [11:09:30<13:32:27, 1.27s/step] Training: 45%|████▌ | 31527/70000 [11:09:31<13:24:40, 1.25s/step] Training: 45%|████▌ | 31528/70000 [11:09:33<13:16:37, 1.24s/step] Training: 45%|████▌ | 31529/70000 [11:09:34<13:06:48, 1.23s/step] Training: 45%|████▌ | 31530/70000 [11:09:35<13:46:58, 1.29s/step] Training: 45%|████▌ | 31531/70000 [11:09:36<13:28:46, 1.26s/step] Training: 45%|████▌ | 31532/70000 [11:09:38<13:40:30, 1.28s/step] Training: 45%|████▌ | 31533/70000 [11:09:39<13:22:59, 1.25s/step] Training: 45%|████▌ | 31534/70000 [11:09:40<13:42:25, 1.28s/step] Training: 45%|████▌ | 31535/70000 [11:09:42<13:28:08, 1.26s/step] Training: 45%|████▌ | 31536/70000 [11:09:43<13:40:37, 1.28s/step] Training: 45%|████▌ | 31537/70000 [11:09:44<13:31:33, 1.27s/step] Training: 45%|████▌ | 31538/70000 [11:09:45<13:44:42, 1.29s/step] Training: 45%|████▌ | 31539/70000 [11:09:47<13:26:56, 1.26s/step] Training: 45%|████▌ | 31540/70000 [11:09:48<13:40:36, 1.28s/step] Training: 45%|████▌ | 31541/70000 [11:09:49<13:23:42, 1.25s/step] Training: 45%|████▌ | 31542/70000 [11:09:50<13:37:14, 1.28s/step] Training: 45%|████▌ | 31543/70000 [11:09:52<13:47:34, 1.29s/step] Training: 45%|████▌ | 31544/70000 [11:09:53<13:54:12, 1.30s/step] Training: 45%|████▌ | 31545/70000 [11:09:54<13:37:30, 1.28s/step] Training: 45%|████▌ | 31546/70000 [11:09:56<13:34:56, 1.27s/step] Training: 45%|████▌ | 31547/70000 [11:09:57<13:19:56, 1.25s/step] Training: 45%|████▌ | 31548/70000 [11:09:58<13:37:09, 1.28s/step] Training: 45%|████▌ | 31549/70000 [11:09:59<13:21:58, 1.25s/step] Training: 45%|████▌ | 31550/70000 [11:10:01<13:41:28, 1.28s/step] Training: 45%|████▌ | 31551/70000 [11:10:02<13:48:52, 1.29s/step] Training: 45%|████▌ | 31552/70000 [11:10:03<13:56:19, 1.31s/step] Training: 45%|████▌ | 31553/70000 [11:10:05<13:59:35, 1.31s/step] Training: 45%|████▌ | 31554/70000 [11:10:06<14:06:04, 1.32s/step] Training: 45%|████▌ | 31555/70000 [11:10:07<13:41:24, 1.28s/step] Training: 45%|████▌ | 31556/70000 [11:10:08<13:28:07, 1.26s/step] Training: 45%|████▌ | 31557/70000 [11:10:10<13:14:59, 1.24s/step] Training: 45%|████▌ | 31558/70000 [11:10:11<13:42:40, 1.28s/step] Training: 45%|████▌ | 31559/70000 [11:10:12<13:32:11, 1.27s/step] Training: 45%|████▌ | 31560/70000 [11:10:13<13:24:30, 1.26s/step] Training: 45%|████▌ | 31561/70000 [11:10:15<13:38:32, 1.28s/step] Training: 45%|████▌ | 31562/70000 [11:10:16<13:50:47, 1.30s/step] Training: 45%|████▌ | 31563/70000 [11:10:17<13:30:00, 1.26s/step] Training: 45%|████▌ | 31564/70000 [11:10:19<13:41:52, 1.28s/step] Training: 45%|████▌ | 31565/70000 [11:10:20<13:24:17, 1.26s/step] Training: 45%|████▌ | 31566/70000 [11:10:21<13:18:32, 1.25s/step] Training: 45%|████▌ | 31567/70000 [11:10:22<13:37:25, 1.28s/step] Training: 45%|████▌ | 31568/70000 [11:10:24<13:46:40, 1.29s/step] Training: 45%|████▌ | 31569/70000 [11:10:25<13:34:19, 1.27s/step] Training: 45%|████▌ | 31570/70000 [11:10:26<13:45:41, 1.29s/step] Training: 45%|████▌ | 31571/70000 [11:10:27<13:26:35, 1.26s/step] Training: 45%|████▌ | 31572/70000 [11:10:29<13:40:34, 1.28s/step] Training: 45%|████▌ | 31573/70000 [11:10:30<13:23:28, 1.25s/step] Training: 45%|████▌ | 31574/70000 [11:10:31<13:38:13, 1.28s/step] Training: 45%|████▌ | 31575/70000 [11:10:33<13:50:33, 1.30s/step] Training: 45%|████▌ | 31576/70000 [11:10:34<14:14:14, 1.33s/step] Training: 45%|████▌ | 31577/70000 [11:10:35<13:50:50, 1.30s/step] Training: 45%|████▌ | 31578/70000 [11:10:37<13:43:04, 1.29s/step] Training: 45%|████▌ | 31579/70000 [11:10:38<13:25:59, 1.26s/step] Training: 45%|████▌ | 31580/70000 [11:10:39<13:40:37, 1.28s/step] Training: 45%|████▌ | 31581/70000 [11:10:40<13:24:05, 1.26s/step] Training: 45%|████▌ | 31582/70000 [11:10:42<13:44:46, 1.29s/step] Training: 45%|████▌ | 31583/70000 [11:10:43<13:24:13, 1.26s/step] Training: 45%|████▌ | 31584/70000 [11:10:44<13:49:58, 1.30s/step] Training: 45%|████▌ | 31585/70000 [11:10:46<13:56:20, 1.31s/step] Training: 45%|████▌ | 31586/70000 [11:10:47<14:01:46, 1.31s/step] Training: 45%|████▌ | 31587/70000 [11:10:48<13:37:38, 1.28s/step] Training: 45%|████▌ | 31588/70000 [11:10:49<13:27:02, 1.26s/step] Training: 45%|████▌ | 31589/70000 [11:10:50<13:13:30, 1.24s/step] Training: 45%|████▌ | 31590/70000 [11:10:52<13:35:42, 1.27s/step] Training: 45%|████▌ | 31591/70000 [11:10:53<13:17:16, 1.25s/step] Training: 45%|████▌ | 31592/70000 [11:10:54<13:10:23, 1.23s/step] Training: 45%|████▌ | 31593/70000 [11:10:56<13:27:32, 1.26s/step] Training: 45%|████▌ | 31594/70000 [11:10:57<13:42:39, 1.29s/step] Training: 45%|████▌ | 31595/70000 [11:10:58<13:24:31, 1.26s/step] Training: 45%|████▌ | 31596/70000 [11:10:59<13:38:25, 1.28s/step] Training: 45%|████▌ | 31597/70000 [11:11:01<13:22:20, 1.25s/step] Training: 45%|████▌ | 31598/70000 [11:11:02<13:37:13, 1.28s/step] Training: 45%|████▌ | 31599/70000 [11:11:03<13:50:36, 1.30s/step] Training: 45%|████▌ | 31600/70000 [11:11:05<13:57:18, 1.31s/step]INFO 2026-03-13 07:20:57 ot_train.py:435 step:32K smpl:2M ep:7K epch:26.78 loss:0.025 grdn:3.987 lr:1.5e-05 updt_s:1.253 data_s:0.019 Training: 45%|████▌ | 31601/70000 [11:11:06<13:41:31, 1.28s/step] Training: 45%|████▌ | 31602/70000 [11:11:07<13:51:56, 1.30s/step] Training: 45%|████▌ | 31603/70000 [11:11:08<13:30:34, 1.27s/step] Training: 45%|████▌ | 31604/70000 [11:11:10<13:42:09, 1.28s/step] Training: 45%|████▌ | 31605/70000 [11:11:11<13:24:17, 1.26s/step] Training: 45%|████▌ | 31606/70000 [11:11:12<13:39:02, 1.28s/step] Training: 45%|████▌ | 31607/70000 [11:11:14<13:52:07, 1.30s/step] Training: 45%|████▌ | 31608/70000 [11:11:15<13:59:42, 1.31s/step] Training: 45%|████▌ | 31609/70000 [11:11:16<13:39:37, 1.28s/step] Training: 45%|████▌ | 31610/70000 [11:11:17<13:35:15, 1.27s/step] Training: 45%|████▌ | 31611/70000 [11:11:19<13:19:27, 1.25s/step] Training: 45%|████▌ | 31612/70000 [11:11:20<13:34:39, 1.27s/step] Training: 45%|████▌ | 31613/70000 [11:11:21<13:18:55, 1.25s/step] Training: 45%|████▌ | 31614/70000 [11:11:22<13:12:04, 1.24s/step] Training: 45%|████▌ | 31615/70000 [11:11:24<13:30:03, 1.27s/step] Training: 45%|████▌ | 31616/70000 [11:11:25<13:44:03, 1.29s/step] Training: 45%|████▌ | 31617/70000 [11:11:26<13:49:53, 1.30s/step] Training: 45%|████▌ | 31618/70000 [11:11:28<13:56:50, 1.31s/step] Training: 45%|████▌ | 31619/70000 [11:11:29<13:33:56, 1.27s/step] Training: 45%|████▌ | 31620/70000 [11:11:30<13:22:47, 1.26s/step] Training: 45%|████▌ | 31621/70000 [11:11:31<13:10:29, 1.24s/step] Training: 45%|████▌ | 31622/70000 [11:11:33<13:28:24, 1.26s/step] Training: 45%|████▌ | 31623/70000 [11:11:34<13:49:37, 1.30s/step] Training: 45%|████▌ | 31624/70000 [11:11:35<13:35:04, 1.27s/step] Training: 45%|████▌ | 31625/70000 [11:11:36<13:45:06, 1.29s/step] Training: 45%|████▌ | 31626/70000 [11:11:38<13:52:53, 1.30s/step] Training: 45%|████▌ | 31627/70000 [11:11:39<13:31:37, 1.27s/step] Training: 45%|████▌ | 31628/70000 [11:11:40<13:43:19, 1.29s/step] Training: 45%|████▌ | 31629/70000 [11:11:42<13:25:25, 1.26s/step] Training: 45%|████▌ | 31630/70000 [11:11:43<13:38:51, 1.28s/step] Training: 45%|████▌ | 31631/70000 [11:11:44<13:35:45, 1.28s/step] Training: 45%|████▌ | 31632/70000 [11:11:45<13:48:22, 1.30s/step] Training: 45%|████▌ | 31633/70000 [11:11:47<13:33:39, 1.27s/step] Training: 45%|████▌ | 31634/70000 [11:11:48<13:44:33, 1.29s/step] Training: 45%|████▌ | 31635/70000 [11:11:49<13:26:09, 1.26s/step] Training: 45%|████▌ | 31636/70000 [11:11:51<13:39:40, 1.28s/step] Training: 45%|████▌ | 31637/70000 [11:11:52<13:22:39, 1.26s/step] Training: 45%|████▌ | 31638/70000 [11:11:53<13:36:38, 1.28s/step] Training: 45%|████▌ | 31639/70000 [11:11:54<13:20:35, 1.25s/step] Training: 45%|████▌ | 31640/70000 [11:11:56<13:59:52, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=2815 Training: 45%|████▌ | 31641/70000 [11:11:57<13:39:47, 1.28s/step] Training: 45%|████▌ | 31642/70000 [11:11:58<13:34:02, 1.27s/step] Training: 45%|████▌ | 31643/70000 [11:11:59<13:18:39, 1.25s/step] Training: 45%|████▌ | 31644/70000 [11:12:01<13:07:25, 1.23s/step] Training: 45%|████▌ | 31645/70000 [11:12:02<13:25:59, 1.26s/step] Training: 45%|████▌ | 31646/70000 [11:12:03<13:17:05, 1.25s/step] Training: 45%|████▌ | 31647/70000 [11:12:04<13:06:15, 1.23s/step] Training: 45%|████▌ | 31648/70000 [11:12:06<13:47:41, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=2815 Training: 45%|████▌ | 31649/70000 [11:12:07<13:52:29, 1.30s/step] Training: 45%|████▌ | 31650/70000 [11:12:08<13:58:02, 1.31s/step] Training: 45%|████▌ | 31651/70000 [11:12:10<13:35:04, 1.28s/step] Training: 45%|████▌ | 31652/70000 [11:12:11<13:18:17, 1.25s/step] Training: 45%|████▌ | 31653/70000 [11:12:12<13:33:34, 1.27s/step] Training: 45%|████▌ | 31654/70000 [11:12:13<13:44:38, 1.29s/step] Training: 45%|████▌ | 31655/70000 [11:12:15<13:25:50, 1.26s/step] Training: 45%|████▌ | 31656/70000 [11:12:16<13:46:15, 1.29s/step] Training: 45%|████▌ | 31657/70000 [11:12:17<13:50:14, 1.30s/step] Training: 45%|████▌ | 31658/70000 [11:12:19<13:56:28, 1.31s/step] Training: 45%|████▌ | 31659/70000 [11:12:20<13:33:59, 1.27s/step] Training: 45%|████▌ | 31660/70000 [11:12:21<13:43:37, 1.29s/step] Training: 45%|████▌ | 31661/70000 [11:12:22<13:25:23, 1.26s/step] Training: 45%|████▌ | 31662/70000 [11:12:24<13:37:09, 1.28s/step] Training: 45%|████▌ | 31663/70000 [11:12:25<13:19:56, 1.25s/step] Training: 45%|████▌ | 31664/70000 [11:12:26<13:37:40, 1.28s/step] Training: 45%|████▌ | 31665/70000 [11:12:28<13:49:45, 1.30s/step] Training: 45%|████▌ | 31666/70000 [11:12:29<13:55:54, 1.31s/step] Training: 45%|████▌ | 31667/70000 [11:12:30<13:32:58, 1.27s/step] Training: 45%|████▌ | 31668/70000 [11:12:31<13:43:05, 1.29s/step] Training: 45%|████▌ | 31669/70000 [11:12:33<13:24:30, 1.26s/step] Training: 45%|████▌ | 31670/70000 [11:12:34<13:36:42, 1.28s/step] Training: 45%|████▌ | 31671/70000 [11:12:35<13:19:32, 1.25s/step] Training: 45%|████▌ | 31672/70000 [11:12:36<13:33:25, 1.27s/step] Training: 45%|████▌ | 31673/70000 [11:12:38<13:48:39, 1.30s/step] Training: 45%|████▌ | 31674/70000 [11:12:39<13:38:14, 1.28s/step] Training: 45%|████▌ | 31675/70000 [11:12:40<13:20:45, 1.25s/step] Training: 45%|████▌ | 31676/70000 [11:12:41<13:14:46, 1.24s/step] Training: 45%|████▌ | 31677/70000 [11:12:43<13:03:34, 1.23s/step] Training: 45%|████▌ | 31678/70000 [11:12:44<12:58:55, 1.22s/step] Training: 45%|████▌ | 31679/70000 [11:12:45<12:52:27, 1.21s/step] Training: 45%|████▌ | 31680/70000 [11:12:46<13:15:59, 1.25s/step] Training: 45%|████▌ | 31681/70000 [11:12:48<13:31:53, 1.27s/step] Training: 45%|████▌ | 31682/70000 [11:12:49<13:42:25, 1.29s/step] Training: 45%|████▌ | 31683/70000 [11:12:50<13:23:11, 1.26s/step] Training: 45%|████▌ | 31684/70000 [11:12:51<13:17:19, 1.25s/step] Training: 45%|████▌ | 31685/70000 [11:12:53<13:05:58, 1.23s/step] Training: 45%|████▌ | 31686/70000 [11:12:54<13:23:39, 1.26s/step] Training: 45%|████▌ | 31687/70000 [11:12:55<13:10:20, 1.24s/step] Training: 45%|████▌ | 31688/70000 [11:12:56<13:06:58, 1.23s/step] Training: 45%|████▌ | 31689/70000 [11:12:58<13:35:28, 1.28s/step] Training: 45%|████▌ | 31690/70000 [11:12:59<13:45:07, 1.29s/step] Training: 45%|████▌ | 31691/70000 [11:13:00<13:26:04, 1.26s/step] Training: 45%|████▌ | 31692/70000 [11:13:01<13:11:40, 1.24s/step] Training: 45%|████▌ | 31693/70000 [11:13:03<13:27:17, 1.26s/step] Training: 45%|████▌ | 31694/70000 [11:13:04<13:40:03, 1.28s/step] Training: 45%|████▌ | 31695/70000 [11:13:05<13:22:27, 1.26s/step] Training: 45%|████▌ | 31696/70000 [11:13:07<13:36:57, 1.28s/step] Training: 45%|████▌ | 31697/70000 [11:13:08<13:44:34, 1.29s/step] Training: 45%|████▌ | 31698/70000 [11:13:09<13:49:20, 1.30s/step] Training: 45%|████▌ | 31699/70000 [11:13:10<13:28:39, 1.27s/step] Training: 45%|████▌ | 31700/70000 [11:13:12<13:41:15, 1.29s/step]INFO 2026-03-13 07:23:04 ot_train.py:435 step:32K smpl:2M ep:7K epch:26.87 loss:0.026 grdn:3.541 lr:1.5e-05 updt_s:1.250 data_s:0.019 Training: 45%|████▌ | 31701/70000 [11:13:13<13:22:36, 1.26s/step] Training: 45%|████▌ | 31702/70000 [11:13:14<13:35:51, 1.28s/step] Training: 45%|████▌ | 31703/70000 [11:13:15<13:18:48, 1.25s/step] Training: 45%|████▌ | 31704/70000 [11:13:17<13:34:30, 1.28s/step] Training: 45%|████▌ | 31705/70000 [11:13:18<13:25:20, 1.26s/step] Training: 45%|████▌ | 31706/70000 [11:13:19<13:41:40, 1.29s/step] Training: 45%|████▌ | 31707/70000 [11:13:21<13:21:22, 1.26s/step] Training: 45%|████▌ | 31708/70000 [11:13:22<13:12:00, 1.24s/step] Training: 45%|████▌ | 31709/70000 [11:13:23<13:02:02, 1.23s/step] Training: 45%|████▌ | 31710/70000 [11:13:24<12:59:46, 1.22s/step] Training: 45%|████▌ | 31711/70000 [11:13:25<12:54:07, 1.21s/step] Training: 45%|████▌ | 31712/70000 [11:13:27<13:16:32, 1.25s/step] Training: 45%|████▌ | 31713/70000 [11:13:28<13:33:25, 1.27s/step] Training: 45%|████▌ | 31714/70000 [11:13:29<13:55:34, 1.31s/step] Training: 45%|████▌ | 31715/70000 [11:13:31<13:33:07, 1.27s/step] Training: 45%|████▌ | 31716/70000 [11:13:32<13:24:15, 1.26s/step] Training: 45%|████▌ | 31717/70000 [11:13:33<13:12:06, 1.24s/step] Training: 45%|████▌ | 31718/70000 [11:13:34<13:30:32, 1.27s/step] Training: 45%|████▌ | 31719/70000 [11:13:36<13:16:24, 1.25s/step] Training: 45%|████▌ | 31720/70000 [11:13:37<13:11:46, 1.24s/step] Training: 45%|████▌ | 31721/70000 [11:13:38<13:29:32, 1.27s/step] Training: 45%|████▌ | 31722/70000 [11:13:39<13:40:15, 1.29s/step] Training: 45%|████▌ | 31723/70000 [11:13:41<13:51:45, 1.30s/step] Training: 45%|████▌ | 31724/70000 [11:13:42<13:28:20, 1.27s/step] Training: 45%|████▌ | 31725/70000 [11:13:43<13:39:20, 1.28s/step] Training: 45%|████▌ | 31726/70000 [11:13:45<13:48:31, 1.30s/step] Training: 45%|████▌ | 31727/70000 [11:13:46<13:27:24, 1.27s/step] Training: 45%|████▌ | 31728/70000 [11:13:47<13:39:12, 1.28s/step] Training: 45%|████▌ | 31729/70000 [11:13:48<13:28:23, 1.27s/step] Training: 45%|████▌ | 31730/70000 [11:13:50<13:46:44, 1.30s/step] Training: 45%|████▌ | 31731/70000 [11:13:51<13:35:36, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=68123 Training: 45%|████▌ | 31732/70000 [11:13:52<13:17:58, 1.25s/step] Training: 45%|████▌ | 31733/70000 [11:13:53<13:05:54, 1.23s/step] Training: 45%|████▌ | 31734/70000 [11:13:55<13:23:40, 1.26s/step] Training: 45%|████▌ | 31735/70000 [11:13:56<13:10:02, 1.24s/step] Training: 45%|████▌ | 31736/70000 [11:13:57<13:27:54, 1.27s/step] Training: 45%|████▌ | 31737/70000 [11:13:58<13:18:07, 1.25s/step] Training: 45%|████▌ | 31738/70000 [11:14:00<13:09:07, 1.24s/step] Training: 45%|████▌ | 31739/70000 [11:14:01<13:30:30, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=68123 Training: 45%|████▌ | 31740/70000 [11:14:02<13:24:19, 1.26s/step] Training: 45%|████▌ | 31741/70000 [11:14:03<13:09:45, 1.24s/step] Training: 45%|████▌ | 31742/70000 [11:14:05<13:02:10, 1.23s/step] Training: 45%|████▌ | 31743/70000 [11:14:06<12:56:01, 1.22s/step] Training: 45%|████▌ | 31744/70000 [11:14:07<13:17:16, 1.25s/step] Training: 45%|████▌ | 31745/70000 [11:14:08<13:32:15, 1.27s/step] Training: 45%|████▌ | 31746/70000 [11:14:10<13:42:02, 1.29s/step] Training: 45%|████▌ | 31747/70000 [11:14:11<14:04:52, 1.33s/step] Training: 45%|████▌ | 31748/70000 [11:14:12<13:43:10, 1.29s/step] Training: 45%|████▌ | 31749/70000 [11:14:14<13:24:00, 1.26s/step] Training: 45%|████▌ | 31750/70000 [11:14:15<13:37:45, 1.28s/step] Training: 45%|████▌ | 31751/70000 [11:14:16<13:20:22, 1.26s/step] Training: 45%|████▌ | 31752/70000 [11:14:17<13:27:03, 1.27s/step] Training: 45%|████▌ | 31753/70000 [11:14:19<13:38:21, 1.28s/step] Training: 45%|████▌ | 31754/70000 [11:14:20<13:46:33, 1.30s/step] Training: 45%|████▌ | 31755/70000 [11:14:21<13:51:03, 1.30s/step] Training: 45%|████▌ | 31756/70000 [11:14:23<13:56:23, 1.31s/step] Training: 45%|████▌ | 31757/70000 [11:14:24<13:33:17, 1.28s/step] Training: 45%|████▌ | 31758/70000 [11:14:25<13:42:22, 1.29s/step] Training: 45%|████▌ | 31759/70000 [11:14:26<13:22:58, 1.26s/step] Training: 45%|████▌ | 31760/70000 [11:14:28<13:35:59, 1.28s/step] Training: 45%|████▌ | 31761/70000 [11:14:29<13:26:19, 1.27s/step] Training: 45%|████▌ | 31762/70000 [11:14:30<13:38:08, 1.28s/step] Training: 45%|████▌ | 31763/70000 [11:14:32<13:53:21, 1.31s/step] Training: 45%|████▌ | 31764/70000 [11:14:33<13:56:50, 1.31s/step] Training: 45%|████▌ | 31765/70000 [11:14:34<13:33:26, 1.28s/step] Training: 45%|████▌ | 31766/70000 [11:14:35<13:25:29, 1.26s/step] Training: 45%|████▌ | 31767/70000 [11:14:37<13:10:48, 1.24s/step] Training: 45%|████▌ | 31768/70000 [11:14:38<13:27:37, 1.27s/step] Training: 45%|████▌ | 31769/70000 [11:14:39<13:15:32, 1.25s/step] Training: 45%|████▌ | 31770/70000 [11:14:40<13:08:28, 1.24s/step] Training: 45%|████▌ | 31771/70000 [11:14:42<13:12:12, 1.24s/step] Training: 45%|████▌ | 31772/70000 [11:14:43<13:08:13, 1.24s/step] Training: 45%|████▌ | 31773/70000 [11:14:44<12:58:48, 1.22s/step] Training: 45%|████▌ | 31774/70000 [11:14:45<12:54:29, 1.22s/step] Training: 45%|████▌ | 31775/70000 [11:14:46<12:49:42, 1.21s/step] Training: 45%|████▌ | 31776/70000 [11:14:48<13:22:06, 1.26s/step] Training: 45%|████▌ | 31777/70000 [11:14:49<13:36:45, 1.28s/step] Training: 45%|████▌ | 31778/70000 [11:14:50<13:48:16, 1.30s/step] Training: 45%|████▌ | 31779/70000 [11:14:52<13:53:19, 1.31s/step] Training: 45%|████▌ | 31780/70000 [11:14:53<13:59:52, 1.32s/step] Training: 45%|████▌ | 31781/70000 [11:14:54<13:38:59, 1.29s/step] Training: 45%|████▌ | 31782/70000 [11:14:56<13:47:49, 1.30s/step] Training: 45%|████▌ | 31783/70000 [11:14:57<13:26:57, 1.27s/step] Training: 45%|████▌ | 31784/70000 [11:14:58<13:17:45, 1.25s/step] Training: 45%|████▌ | 31785/70000 [11:14:59<13:32:05, 1.28s/step] Training: 45%|████▌ | 31786/70000 [11:15:01<13:44:15, 1.29s/step] Training: 45%|████▌ | 31787/70000 [11:15:02<13:49:32, 1.30s/step] Training: 45%|████▌ | 31788/70000 [11:15:03<14:10:21, 1.34s/step] Training: 45%|████▌ | 31789/70000 [11:15:05<13:43:48, 1.29s/step] Training: 45%|████▌ | 31790/70000 [11:15:06<13:49:05, 1.30s/step] Training: 45%|████▌ | 31791/70000 [11:15:07<13:27:50, 1.27s/step] Training: 45%|████▌ | 31792/70000 [11:15:08<13:40:24, 1.29s/step] Training: 45%|████▌ | 31793/70000 [11:15:10<13:30:07, 1.27s/step] Training: 45%|████▌ | 31794/70000 [11:15:11<13:41:01, 1.29s/step] Training: 45%|████▌ | 31795/70000 [11:15:12<13:46:43, 1.30s/step] Training: 45%|████▌ | 31796/70000 [11:15:14<13:54:34, 1.31s/step] Training: 45%|████▌ | 31797/70000 [11:15:15<14:00:39, 1.32s/step] Training: 45%|████▌ | 31798/70000 [11:15:16<13:43:44, 1.29s/step] Training: 45%|████▌ | 31799/70000 [11:15:17<13:22:22, 1.26s/step] Training: 45%|████▌ | 31800/70000 [11:15:19<13:36:21, 1.28s/step]INFO 2026-03-13 07:25:11 ot_train.py:435 step:32K smpl:2M ep:7K epch:26.95 loss:0.025 grdn:4.225 lr:1.5e-05 updt_s:1.249 data_s:0.019 Training: 45%|████▌ | 31801/70000 [11:15:20<13:21:52, 1.26s/step] Training: 45%|████▌ | 31802/70000 [11:15:21<13:12:15, 1.24s/step] Training: 45%|████▌ | 31803/70000 [11:15:22<13:06:29, 1.24s/step] Training: 45%|████▌ | 31804/70000 [11:15:24<13:37:32, 1.28s/step] Training: 45%|████▌ | 31805/70000 [11:15:25<13:17:39, 1.25s/step] Training: 45%|████▌ | 31806/70000 [11:15:26<13:08:56, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=31025 Training: 45%|████▌ | 31807/70000 [11:15:27<13:00:11, 1.23s/step] Training: 45%|████▌ | 31808/70000 [11:15:29<13:26:46, 1.27s/step] Training: 45%|████▌ | 31809/70000 [11:15:30<13:41:47, 1.29s/step] Training: 45%|████▌ | 31810/70000 [11:15:31<13:50:15, 1.30s/step] Training: 45%|████▌ | 31811/70000 [11:15:33<13:55:03, 1.31s/step] Training: 45%|████▌ | 31812/70000 [11:15:34<13:35:47, 1.28s/step] Training: 45%|████▌ | 31813/70000 [11:15:35<13:51:26, 1.31s/step] Training: 45%|████▌ | 31814/70000 [11:15:37<13:55:43, 1.31s/step] Training: 45%|████▌ | 31815/70000 [11:15:38<13:32:15, 1.28s/step] Training: 45%|████▌ | 31816/70000 [11:15:39<13:21:46, 1.26s/step] Training: 45%|████▌ | 31817/70000 [11:15:40<13:35:54, 1.28s/step] Training: 45%|████▌ | 31818/70000 [11:15:42<13:42:52, 1.29s/step] Training: 45%|████▌ | 31819/70000 [11:15:43<13:49:46, 1.30s/step] Training: 45%|████▌ | 31820/70000 [11:15:44<13:54:57, 1.31s/step] Training: 45%|████▌ | 31821/70000 [11:15:46<14:02:42, 1.32s/step] Training: 45%|████▌ | 31822/70000 [11:15:47<13:59:46, 1.32s/step] Training: 45%|████▌ | 31823/70000 [11:15:48<13:34:45, 1.28s/step] Training: 45%|████▌ | 31824/70000 [11:15:50<13:44:38, 1.30s/step] Training: 45%|████▌ | 31825/70000 [11:15:51<13:32:49, 1.28s/step] Training: 45%|████▌ | 31826/70000 [11:15:52<13:42:59, 1.29s/step] Training: 45%|████▌ | 31827/70000 [11:15:53<13:50:56, 1.31s/step] Training: 45%|████▌ | 31828/70000 [11:15:55<13:56:15, 1.31s/step] Training: 45%|████▌ | 31829/70000 [11:15:56<13:33:32, 1.28s/step] Training: 45%|████▌ | 31830/70000 [11:15:57<13:23:33, 1.26s/step] Training: 45%|████▌ | 31831/70000 [11:15:58<13:10:10, 1.24s/step] Training: 45%|████▌ | 31832/70000 [11:16:00<13:27:27, 1.27s/step] Training: 45%|████▌ | 31833/70000 [11:16:01<13:15:57, 1.25s/step] Training: 45%|████▌ | 31834/70000 [11:16:02<13:14:38, 1.25s/step] Training: 45%|████▌ | 31835/70000 [11:16:03<13:11:41, 1.24s/step] Training: 45%|████▌ | 31836/70000 [11:16:05<13:08:33, 1.24s/step] Training: 45%|████▌ | 31837/70000 [11:16:06<13:09:02, 1.24s/step] Training: 45%|████▌ | 31838/70000 [11:16:07<13:03:29, 1.23s/step] Training: 45%|████▌ | 31839/70000 [11:16:08<12:55:44, 1.22s/step] Training: 45%|████▌ | 31840/70000 [11:16:10<13:21:21, 1.26s/step] Training: 45%|████▌ | 31841/70000 [11:16:11<13:10:05, 1.24s/step] Training: 45%|████▌ | 31842/70000 [11:16:12<13:53:53, 1.31s/step] Training: 45%|████▌ | 31843/70000 [11:16:14<13:58:12, 1.32s/step] Training: 45%|████▌ | 31844/70000 [11:16:15<13:37:03, 1.28s/step] Training: 45%|████▌ | 31845/70000 [11:16:16<13:30:41, 1.27s/step] Training: 45%|████▌ | 31846/70000 [11:16:17<13:40:25, 1.29s/step] Training: 45%|████▌ | 31847/70000 [11:16:19<13:22:45, 1.26s/step] Training: 45%|████▌ | 31848/70000 [11:16:20<13:14:41, 1.25s/step] Training: 45%|████▌ | 31849/70000 [11:16:21<13:28:50, 1.27s/step] Training: 46%|████▌ | 31850/70000 [11:16:22<13:13:01, 1.25s/step] Training: 46%|████▌ | 31851/70000 [11:16:24<13:46:29, 1.30s/step] Training: 46%|████▌ | 31852/70000 [11:16:25<13:54:40, 1.31s/step] Training: 46%|████▌ | 31853/70000 [11:16:26<13:30:57, 1.28s/step] Training: 46%|████▌ | 31854/70000 [11:16:28<14:07:24, 1.33s/step] Training: 46%|████▌ | 31855/70000 [11:16:29<13:40:05, 1.29s/step] Training: 46%|████▌ | 31856/70000 [11:16:30<13:50:03, 1.31s/step] Training: 46%|████▌ | 31857/70000 [11:16:32<13:56:00, 1.32s/step] Training: 46%|████▌ | 31858/70000 [11:16:33<13:31:40, 1.28s/step] Training: 46%|████▌ | 31859/70000 [11:16:34<14:03:42, 1.33s/step] Training: 46%|████▌ | 31860/70000 [11:16:37<17:29:33, 1.65s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 46%|████▌ | 31861/70000 [11:16:41<24:40:51, 2.33s/step] Training: 46%|████▌ | 31862/70000 [11:16:42<21:41:59, 2.05s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=3212 Training: 46%|████▌ | 31863/70000 [11:16:43<18:56:16, 1.79s/step] Training: 46%|████▌ | 31864/70000 [11:16:45<17:55:04, 1.69s/step] Training: 46%|████▌ | 31865/70000 [11:16:46<16:36:08, 1.57s/step] Training: 46%|████▌ | 31866/70000 [11:16:47<15:24:10, 1.45s/step] Training: 46%|████▌ | 31867/70000 [11:16:48<14:48:01, 1.40s/step] Training: 46%|████▌ | 31868/70000 [11:16:50<14:44:59, 1.39s/step] Training: 46%|████▌ | 31869/70000 [11:16:51<14:07:08, 1.33s/step] Training: 46%|████▌ | 31870/70000 [11:16:52<14:16:11, 1.35s/step] Training: 46%|████▌ | 31871/70000 [11:16:54<13:43:48, 1.30s/step] Training: 46%|████▌ | 31872/70000 [11:16:55<13:40:18, 1.29s/step] Training: 46%|████▌ | 31873/70000 [11:16:56<13:48:11, 1.30s/step] Training: 46%|████▌ | 31874/70000 [11:16:57<13:26:06, 1.27s/step] Training: 46%|████▌ | 31875/70000 [11:16:59<13:46:57, 1.30s/step] Training: 46%|████▌ | 31876/70000 [11:17:00<13:29:47, 1.27s/step] Training: 46%|████▌ | 31877/70000 [11:17:01<13:13:57, 1.25s/step] Training: 46%|████▌ | 31878/70000 [11:17:03<13:36:09, 1.28s/step] Training: 46%|████▌ | 31879/70000 [11:17:04<13:17:58, 1.26s/step] Training: 46%|████▌ | 31880/70000 [11:17:05<13:09:24, 1.24s/step] Training: 46%|████▌ | 31881/70000 [11:17:06<13:45:34, 1.30s/step] Training: 46%|████▌ | 31882/70000 [11:17:08<13:24:28, 1.27s/step] Training: 46%|████▌ | 31883/70000 [11:17:09<13:37:01, 1.29s/step] Training: 46%|████▌ | 31884/70000 [11:17:10<13:45:02, 1.30s/step] Training: 46%|████▌ | 31885/70000 [11:17:11<13:25:44, 1.27s/step] Training: 46%|████▌ | 31886/70000 [11:17:13<13:39:08, 1.29s/step] Training: 46%|████▌ | 31887/70000 [11:17:14<13:49:43, 1.31s/step] Training: 46%|████▌ | 31888/70000 [11:17:15<13:53:32, 1.31s/step] Training: 46%|████▌ | 31889/70000 [11:17:17<13:37:00, 1.29s/step] Training: 46%|████▌ | 31890/70000 [11:17:18<13:20:00, 1.26s/step] Training: 46%|████▌ | 31891/70000 [11:17:19<13:30:22, 1.28s/step] Training: 46%|████▌ | 31892/70000 [11:17:20<13:40:17, 1.29s/step] Training: 46%|████▌ | 31893/70000 [11:17:22<13:21:10, 1.26s/step] Training: 46%|████▌ | 31894/70000 [11:17:23<13:20:44, 1.26s/step] Training: 46%|████▌ | 31895/70000 [11:17:24<13:37:35, 1.29s/step] Training: 46%|████▌ | 31896/70000 [11:17:26<13:46:27, 1.30s/step] Training: 46%|████▌ | 31897/70000 [11:17:27<13:29:56, 1.28s/step] Training: 46%|████▌ | 31898/70000 [11:17:28<13:18:15, 1.26s/step] Training: 46%|████▌ | 31899/70000 [11:17:29<13:31:22, 1.28s/step] Training: 46%|████▌ | 31900/70000 [11:17:31<13:42:08, 1.29s/step]INFO 2026-03-13 07:27:23 ot_train.py:435 step:32K smpl:2M ep:7K epch:27.04 loss:0.025 grdn:3.467 lr:1.5e-05 updt_s:1.261 data_s:0.056 Training: 46%|████▌ | 31901/70000 [11:17:32<13:21:49, 1.26s/step] Training: 46%|████▌ | 31902/70000 [11:17:33<13:11:40, 1.25s/step] Training: 46%|████▌ | 31903/70000 [11:17:34<13:25:14, 1.27s/step] Training: 46%|████▌ | 31904/70000 [11:17:36<13:21:56, 1.26s/step] Training: 46%|████▌ | 31905/70000 [11:17:37<13:36:35, 1.29s/step] Training: 46%|████▌ | 31906/70000 [11:17:38<13:17:40, 1.26s/step] Training: 46%|████▌ | 31907/70000 [11:17:40<13:36:22, 1.29s/step] Training: 46%|████▌ | 31908/70000 [11:17:41<13:20:44, 1.26s/step] Training: 46%|████▌ | 31909/70000 [11:17:42<13:08:22, 1.24s/step] Training: 46%|████▌ | 31910/70000 [11:17:43<12:58:52, 1.23s/step] Training: 46%|████▌ | 31911/70000 [11:17:45<13:46:11, 1.30s/step] Training: 46%|████▌ | 31912/70000 [11:17:46<13:30:35, 1.28s/step] Training: 46%|████▌ | 31913/70000 [11:17:47<13:58:28, 1.32s/step] Training: 46%|████▌ | 31914/70000 [11:17:48<13:33:54, 1.28s/step] Training: 46%|████▌ | 31915/70000 [11:17:50<13:42:39, 1.30s/step] Training: 46%|████▌ | 31916/70000 [11:17:51<13:50:14, 1.31s/step] Training: 46%|████▌ | 31917/70000 [11:17:52<13:28:03, 1.27s/step] Training: 46%|████▌ | 31918/70000 [11:17:53<13:12:03, 1.25s/step] Training: 46%|████▌ | 31919/70000 [11:17:55<13:20:21, 1.26s/step] Training: 46%|████▌ | 31920/70000 [11:17:56<13:31:05, 1.28s/step] Training: 46%|████▌ | 31921/70000 [11:17:57<13:23:37, 1.27s/step] Training: 46%|████▌ | 31922/70000 [11:17:59<13:08:48, 1.24s/step] Training: 46%|████▌ | 31923/70000 [11:18:00<13:23:27, 1.27s/step] Training: 46%|████▌ | 31924/70000 [11:18:01<13:36:32, 1.29s/step] Training: 46%|████▌ | 31925/70000 [11:18:02<13:18:04, 1.26s/step] Training: 46%|████▌ | 31926/70000 [11:18:04<13:05:19, 1.24s/step] Training: 46%|████▌ | 31927/70000 [11:18:05<12:59:42, 1.23s/step] Training: 46%|████▌ | 31928/70000 [11:18:06<13:40:40, 1.29s/step] Training: 46%|████▌ | 31929/70000 [11:18:07<13:25:51, 1.27s/step] Training: 46%|████▌ | 31930/70000 [11:18:09<13:10:36, 1.25s/step] Training: 46%|████▌ | 31931/70000 [11:18:10<13:27:31, 1.27s/step] Training: 46%|████▌ | 31932/70000 [11:18:11<13:38:35, 1.29s/step] Training: 46%|████▌ | 31933/70000 [11:18:12<13:21:34, 1.26s/step] Training: 46%|████▌ | 31934/70000 [11:18:14<13:08:23, 1.24s/step] Training: 46%|████▌ | 31935/70000 [11:18:15<13:24:29, 1.27s/step] Training: 46%|████▌ | 31936/70000 [11:18:16<14:06:28, 1.33s/step] Training: 46%|████▌ | 31937/70000 [11:18:18<14:03:42, 1.33s/step] Training: 46%|████▌ | 31938/70000 [11:18:19<13:37:38, 1.29s/step] Training: 46%|████▌ | 31939/70000 [11:18:20<13:46:09, 1.30s/step] Training: 46%|████▌ | 31940/70000 [11:18:22<13:48:20, 1.31s/step] Training: 46%|████▌ | 31941/70000 [11:18:23<13:25:48, 1.27s/step] Training: 46%|████▌ | 31942/70000 [11:18:24<13:11:08, 1.25s/step] Training: 46%|████▌ | 31943/70000 [11:18:25<13:25:41, 1.27s/step] Training: 46%|████▌ | 31944/70000 [11:18:27<13:42:19, 1.30s/step] Training: 46%|████▌ | 31945/70000 [11:18:28<13:47:05, 1.30s/step] Training: 46%|████▌ | 31946/70000 [11:18:29<13:24:49, 1.27s/step] Training: 46%|████▌ | 31947/70000 [11:18:31<13:35:18, 1.29s/step] Training: 46%|████▌ | 31948/70000 [11:18:32<14:02:09, 1.33s/step] Training: 46%|████▌ | 31949/70000 [11:18:33<13:36:45, 1.29s/step] Training: 46%|████▌ | 31950/70000 [11:18:34<13:18:32, 1.26s/step] Training: 46%|████▌ | 31951/70000 [11:18:36<13:31:36, 1.28s/step] Training: 46%|████▌ | 31952/70000 [11:18:37<13:41:21, 1.30s/step] Training: 46%|████▌ | 31953/70000 [11:18:38<13:49:57, 1.31s/step] Training: 46%|████▌ | 31954/70000 [11:18:40<13:25:48, 1.27s/step] Training: 46%|████▌ | 31955/70000 [11:18:41<13:35:18, 1.29s/step] Training: 46%|████▌ | 31956/70000 [11:18:42<13:43:41, 1.30s/step] Training: 46%|████▌ | 31957/70000 [11:18:43<13:23:14, 1.27s/step] Training: 46%|████▌ | 31958/70000 [11:18:45<13:08:51, 1.24s/step] Training: 46%|████▌ | 31959/70000 [11:18:46<13:02:58, 1.23s/step] Training: 46%|████▌ | 31960/70000 [11:18:47<13:23:59, 1.27s/step] Training: 46%|████▌ | 31961/70000 [11:18:48<13:39:52, 1.29s/step] Training: 46%|████▌ | 31962/70000 [11:18:50<13:18:41, 1.26s/step] Training: 46%|████▌ | 31963/70000 [11:18:51<13:06:28, 1.24s/step] Training: 46%|████▌ | 31964/70000 [11:18:52<13:25:04, 1.27s/step] Training: 46%|████▌ | 31965/70000 [11:18:53<13:10:29, 1.25s/step] Training: 46%|████▌ | 31966/70000 [11:18:55<12:58:52, 1.23s/step] Training: 46%|████▌ | 31967/70000 [11:18:56<13:18:07, 1.26s/step] Training: 46%|████▌ | 31968/70000 [11:18:57<13:19:50, 1.26s/step] Training: 46%|████▌ | 31969/70000 [11:18:59<13:34:10, 1.28s/step] Training: 46%|████▌ | 31970/70000 [11:19:00<13:15:52, 1.26s/step] Training: 46%|████▌ | 31971/70000 [11:19:01<13:28:46, 1.28s/step] Training: 46%|████▌ | 31972/70000 [11:19:02<13:19:34, 1.26s/step] Training: 46%|████▌ | 31973/70000 [11:19:03<13:05:50, 1.24s/step] Training: 46%|████▌ | 31974/70000 [11:19:05<12:56:13, 1.22s/step] Training: 46%|████▌ | 31975/70000 [11:19:06<13:15:46, 1.26s/step] Training: 46%|████▌ | 31976/70000 [11:19:07<13:07:13, 1.24s/step] Training: 46%|████▌ | 31977/70000 [11:19:09<13:43:31, 1.30s/step] Training: 46%|████▌ | 31978/70000 [11:19:10<13:22:49, 1.27s/step] Training: 46%|████▌ | 31979/70000 [11:19:11<13:33:55, 1.28s/step] Training: 46%|████▌ | 31980/70000 [11:19:12<13:41:05, 1.30s/step] Training: 46%|████▌ | 31981/70000 [11:19:14<13:20:53, 1.26s/step] Training: 46%|████▌ | 31982/70000 [11:19:15<13:07:00, 1.24s/step] Training: 46%|████▌ | 31983/70000 [11:19:16<13:25:38, 1.27s/step] Training: 46%|████▌ | 31984/70000 [11:19:18<13:38:01, 1.29s/step] Training: 46%|████▌ | 31985/70000 [11:19:19<13:38:11, 1.29s/step] Training: 46%|████▌ | 31986/70000 [11:19:20<13:16:48, 1.26s/step] Training: 46%|████▌ | 31987/70000 [11:19:21<13:11:15, 1.25s/step] Training: 46%|████▌ | 31988/70000 [11:19:23<13:27:00, 1.27s/step] Training: 46%|████▌ | 31989/70000 [11:19:24<13:11:13, 1.25s/step] Training: 46%|████▌ | 31990/70000 [11:19:25<13:00:18, 1.23s/step] Training: 46%|████▌ | 31991/70000 [11:19:26<12:56:04, 1.23s/step] Training: 46%|████▌ | 31992/70000 [11:19:27<12:55:03, 1.22s/step] Training: 46%|████▌ | 31993/70000 [11:19:29<13:12:01, 1.25s/step] Training: 46%|████▌ | 31994/70000 [11:19:30<13:28:46, 1.28s/step] Training: 46%|████▌ | 31995/70000 [11:19:31<13:17:35, 1.26s/step] Training: 46%|████▌ | 31996/70000 [11:19:32<13:15:46, 1.26s/step] Training: 46%|████▌ | 31997/70000 [11:19:34<13:04:10, 1.24s/step] Training: 46%|████▌ | 31998/70000 [11:19:35<12:54:52, 1.22s/step] Training: 46%|████▌ | 31999/70000 [11:19:36<13:16:20, 1.26s/step] Training: 46%|████▌ | 32000/70000 [11:19:37<13:08:17, 1.24s/step]INFO 2026-03-13 07:29:30 ot_train.py:435 step:32K smpl:2M ep:7K epch:27.12 loss:0.022 grdn:3.408 lr:1.5e-05 updt_s:1.246 data_s:0.019 Training: 46%|████▌ | 32001/70000 [11:19:39<13:41:02, 1.30s/step] Training: 46%|████▌ | 32002/70000 [11:19:40<13:34:38, 1.29s/step] Training: 46%|████▌ | 32003/70000 [11:19:41<13:16:10, 1.26s/step] Training: 46%|████▌ | 32004/70000 [11:19:43<13:27:51, 1.28s/step] Training: 46%|████▌ | 32005/70000 [11:19:44<13:39:04, 1.29s/step] Training: 46%|████▌ | 32006/70000 [11:19:45<13:20:24, 1.26s/step] Training: 46%|████▌ | 32007/70000 [11:19:46<13:31:56, 1.28s/step] Training: 46%|████▌ | 32008/70000 [11:19:48<13:41:35, 1.30s/step] Training: 46%|████▌ | 32009/70000 [11:19:49<13:48:04, 1.31s/step] Training: 46%|████▌ | 32010/70000 [11:19:50<13:25:50, 1.27s/step] Training: 46%|████▌ | 32011/70000 [11:19:52<13:56:23, 1.32s/step] Training: 46%|████▌ | 32012/70000 [11:19:53<13:58:58, 1.33s/step] Training: 46%|████▌ | 32013/70000 [11:19:54<13:33:21, 1.28s/step] Training: 46%|████▌ | 32014/70000 [11:19:55<13:14:55, 1.26s/step] Training: 46%|████▌ | 32015/70000 [11:19:57<13:28:29, 1.28s/step] Training: 46%|████▌ | 32016/70000 [11:19:58<13:39:39, 1.29s/step] Training: 46%|████▌ | 32017/70000 [11:19:59<13:39:49, 1.30s/step] Training: 46%|████▌ | 32018/70000 [11:20:01<13:50:37, 1.31s/step] Training: 46%|████▌ | 32019/70000 [11:20:02<13:27:24, 1.28s/step] Training: 46%|████▌ | 32020/70000 [11:20:03<13:14:46, 1.26s/step] Training: 46%|████▌ | 32021/70000 [11:20:04<13:01:47, 1.24s/step] Training: 46%|████▌ | 32022/70000 [11:20:06<12:52:38, 1.22s/step] Training: 46%|████▌ | 32023/70000 [11:20:07<12:49:59, 1.22s/step] Training: 46%|████▌ | 32024/70000 [11:20:08<12:51:59, 1.22s/step] Training: 46%|████▌ | 32025/70000 [11:20:09<12:53:46, 1.22s/step] Training: 46%|████▌ | 32026/70000 [11:20:11<13:14:17, 1.26s/step] Training: 46%|████▌ | 32027/70000 [11:20:12<13:29:41, 1.28s/step] Training: 46%|████▌ | 32028/70000 [11:20:13<13:21:26, 1.27s/step] Training: 46%|████▌ | 32029/70000 [11:20:14<13:07:17, 1.24s/step] Training: 46%|████▌ | 32030/70000 [11:20:15<12:56:20, 1.23s/step] Training: 46%|████▌ | 32031/70000 [11:20:17<13:15:45, 1.26s/step] Training: 46%|████▌ | 32032/70000 [11:20:18<13:07:27, 1.24s/step] Training: 46%|████▌ | 32033/70000 [11:20:19<12:58:08, 1.23s/step] Training: 46%|████▌ | 32034/70000 [11:20:21<13:15:51, 1.26s/step] Training: 46%|████▌ | 32035/70000 [11:20:22<13:31:30, 1.28s/step] Training: 46%|████▌ | 32036/70000 [11:20:23<13:33:21, 1.29s/step] Training: 46%|████▌ | 32037/70000 [11:20:24<13:40:48, 1.30s/step] Training: 46%|████▌ | 32038/70000 [11:20:26<13:21:08, 1.27s/step] Training: 46%|████▌ | 32039/70000 [11:20:27<13:33:19, 1.29s/step] Training: 46%|████▌ | 32040/70000 [11:20:28<13:43:23, 1.30s/step] Training: 46%|████▌ | 32041/70000 [11:20:30<13:48:45, 1.31s/step] Training: 46%|████▌ | 32042/70000 [11:20:31<13:25:41, 1.27s/step] Training: 46%|████▌ | 32043/70000 [11:20:32<13:34:41, 1.29s/step] Training: 46%|████▌ | 32044/70000 [11:20:34<13:42:12, 1.30s/step] Training: 46%|████▌ | 32045/70000 [11:20:35<13:23:08, 1.27s/step] Training: 46%|████▌ | 32046/70000 [11:20:36<13:07:41, 1.25s/step] Training: 46%|████▌ | 32047/70000 [11:20:37<12:56:51, 1.23s/step] Training: 46%|████▌ | 32048/70000 [11:20:39<13:32:40, 1.28s/step] Training: 46%|████▌ | 32049/70000 [11:20:40<13:43:40, 1.30s/step] Training: 46%|████▌ | 32050/70000 [11:20:41<13:22:10, 1.27s/step] Training: 46%|████▌ | 32051/70000 [11:20:42<13:43:26, 1.30s/step] Training: 46%|████▌ | 32052/70000 [11:20:44<13:26:57, 1.28s/step] Training: 46%|████▌ | 32053/70000 [11:20:45<13:10:30, 1.25s/step] Training: 46%|████▌ | 32054/70000 [11:20:46<12:59:38, 1.23s/step] Training: 46%|████▌ | 32055/70000 [11:20:47<12:51:43, 1.22s/step] Training: 46%|████▌ | 32056/70000 [11:20:49<13:12:17, 1.25s/step] Training: 46%|████▌ | 32057/70000 [11:20:50<13:14:16, 1.26s/step] Training: 46%|████▌ | 32058/70000 [11:20:51<13:01:33, 1.24s/step] Training: 46%|████▌ | 32059/70000 [11:20:52<13:00:44, 1.23s/step] Training: 46%|████▌ | 32060/70000 [11:20:53<13:05:02, 1.24s/step] Training: 46%|████▌ | 32061/70000 [11:20:55<12:55:51, 1.23s/step] Training: 46%|████▌ | 32062/70000 [11:20:56<12:48:39, 1.22s/step] Training: 46%|████▌ | 32063/70000 [11:20:57<13:10:01, 1.25s/step] Training: 46%|████▌ | 32064/70000 [11:20:58<13:02:43, 1.24s/step] Training: 46%|████▌ | 32065/70000 [11:21:00<12:58:53, 1.23s/step] Training: 46%|████▌ | 32066/70000 [11:21:01<13:09:23, 1.25s/step] Training: 46%|████▌ | 32067/70000 [11:21:02<13:00:14, 1.23s/step] Training: 46%|████▌ | 32068/70000 [11:21:03<13:22:57, 1.27s/step] Training: 46%|████▌ | 32069/70000 [11:21:05<13:33:22, 1.29s/step] Training: 46%|████▌ | 32070/70000 [11:21:06<13:16:10, 1.26s/step] Training: 46%|████▌ | 32071/70000 [11:21:07<13:28:49, 1.28s/step] Training: 46%|████▌ | 32072/70000 [11:21:09<13:37:54, 1.29s/step] Training: 46%|████▌ | 32073/70000 [11:21:10<13:43:48, 1.30s/step] Training: 46%|████▌ | 32074/70000 [11:21:11<13:21:30, 1.27s/step] Training: 46%|████▌ | 32075/70000 [11:21:12<13:32:54, 1.29s/step] Training: 46%|████▌ | 32076/70000 [11:21:14<13:54:57, 1.32s/step] Training: 46%|████▌ | 32077/70000 [11:21:15<13:29:40, 1.28s/step] Training: 46%|████▌ | 32078/70000 [11:21:16<13:12:02, 1.25s/step] Training: 46%|████▌ | 32079/70000 [11:21:17<13:07:58, 1.25s/step] Training: 46%|████▌ | 32080/70000 [11:21:19<13:24:18, 1.27s/step] Training: 46%|████▌ | 32081/70000 [11:21:20<13:38:55, 1.30s/step] Training: 46%|████▌ | 32082/70000 [11:21:21<13:18:22, 1.26s/step] Training: 46%|████▌ | 32083/70000 [11:21:23<13:06:51, 1.25s/step] Training: 46%|████▌ | 32084/70000 [11:21:24<13:30:17, 1.28s/step] Training: 46%|████▌ | 32085/70000 [11:21:25<13:10:17, 1.25s/step] Training: 46%|████▌ | 32086/70000 [11:21:26<12:58:11, 1.23s/step] Training: 46%|████▌ | 32087/70000 [11:21:28<12:54:10, 1.23s/step] Training: 46%|████▌ | 32088/70000 [11:21:29<12:56:20, 1.23s/step] Training: 46%|████▌ | 32089/70000 [11:21:30<13:02:32, 1.24s/step] Training: 46%|████▌ | 32090/70000 [11:21:31<12:52:48, 1.22s/step] Training: 46%|████▌ | 32091/70000 [11:21:32<12:56:21, 1.23s/step] Training: 46%|████▌ | 32092/70000 [11:21:34<13:27:48, 1.28s/step] Training: 46%|████▌ | 32093/70000 [11:21:35<13:08:48, 1.25s/step] Training: 46%|████▌ | 32094/70000 [11:21:36<12:58:07, 1.23s/step] Training: 46%|████▌ | 32095/70000 [11:21:38<13:17:33, 1.26s/step] Training: 46%|████▌ | 32096/70000 [11:21:39<13:08:04, 1.25s/step] Training: 46%|████▌ | 32097/70000 [11:21:40<13:01:28, 1.24s/step] Training: 46%|████▌ | 32098/70000 [11:21:41<13:12:22, 1.25s/step] Training: 46%|████▌ | 32099/70000 [11:21:42<13:01:12, 1.24s/step] Training: 46%|████▌ | 32100/70000 [11:21:44<13:21:53, 1.27s/step]INFO 2026-03-13 07:31:36 ot_train.py:435 step:32K smpl:2M ep:7K epch:27.21 loss:0.022 grdn:3.085 lr:1.5e-05 updt_s:1.243 data_s:0.019 Training: 46%|████▌ | 32101/70000 [11:21:45<13:35:56, 1.29s/step] Training: 46%|████▌ | 32102/70000 [11:21:46<13:14:45, 1.26s/step] Training: 46%|████▌ | 32103/70000 [11:21:48<13:27:34, 1.28s/step] Training: 46%|████▌ | 32104/70000 [11:21:49<13:37:11, 1.29s/step] Training: 46%|████▌ | 32105/70000 [11:21:50<13:44:26, 1.31s/step] Training: 46%|████▌ | 32106/70000 [11:21:51<13:21:38, 1.27s/step] Training: 46%|████▌ | 32107/70000 [11:21:53<13:06:26, 1.25s/step] Training: 46%|████▌ | 32108/70000 [11:21:54<13:23:36, 1.27s/step] Training: 46%|████▌ | 32109/70000 [11:21:55<13:38:27, 1.30s/step] Training: 46%|████▌ | 32110/70000 [11:21:57<13:16:35, 1.26s/step] Training: 46%|████▌ | 32111/70000 [11:21:58<13:13:14, 1.26s/step] Training: 46%|████▌ | 32112/70000 [11:21:59<13:24:50, 1.27s/step] Training: 46%|████▌ | 32113/70000 [11:22:00<13:13:24, 1.26s/step] Training: 46%|████▌ | 32114/70000 [11:22:02<13:00:12, 1.24s/step] Training: 46%|████▌ | 32115/70000 [11:22:03<12:59:55, 1.24s/step] Training: 46%|████▌ | 32116/70000 [11:22:04<13:17:12, 1.26s/step] Training: 46%|████▌ | 32117/70000 [11:22:05<13:30:21, 1.28s/step] Training: 46%|████▌ | 32118/70000 [11:22:07<13:10:25, 1.25s/step] Training: 46%|████▌ | 32119/70000 [11:22:08<13:02:40, 1.24s/step] Training: 46%|████▌ | 32120/70000 [11:22:09<13:01:35, 1.24s/step] Training: 46%|████▌ | 32121/70000 [11:22:10<13:06:22, 1.25s/step] Training: 46%|████▌ | 32122/70000 [11:22:11<12:55:08, 1.23s/step] Training: 46%|████▌ | 32123/70000 [11:22:13<12:50:45, 1.22s/step] Training: 46%|████▌ | 32124/70000 [11:22:14<13:17:40, 1.26s/step] Training: 46%|████▌ | 32125/70000 [11:22:15<13:35:05, 1.29s/step] Training: 46%|████▌ | 32126/70000 [11:22:17<13:13:45, 1.26s/step] Training: 46%|████▌ | 32127/70000 [11:22:18<13:26:16, 1.28s/step] Training: 46%|████▌ | 32128/70000 [11:22:19<13:12:02, 1.25s/step] Training: 46%|████▌ | 32129/70000 [11:22:20<13:04:15, 1.24s/step] Training: 46%|████▌ | 32130/70000 [11:22:22<13:12:41, 1.26s/step] Training: 46%|████▌ | 32131/70000 [11:22:23<13:26:53, 1.28s/step] Training: 46%|████▌ | 32132/70000 [11:22:24<13:16:21, 1.26s/step] Training: 46%|████▌ | 32133/70000 [11:22:25<13:10:02, 1.25s/step] Training: 46%|████▌ | 32134/70000 [11:22:27<12:56:24, 1.23s/step] Training: 46%|████▌ | 32135/70000 [11:22:28<13:14:43, 1.26s/step] Training: 46%|████▌ | 32136/70000 [11:22:29<13:28:00, 1.28s/step] Training: 46%|████▌ | 32137/70000 [11:22:31<13:45:14, 1.31s/step] Training: 46%|████▌ | 32138/70000 [11:22:32<13:22:29, 1.27s/step] Training: 46%|████▌ | 32139/70000 [11:22:33<13:33:05, 1.29s/step] Training: 46%|████▌ | 32140/70000 [11:22:34<13:40:36, 1.30s/step] Training: 46%|████▌ | 32141/70000 [11:22:36<13:19:18, 1.27s/step] Training: 46%|████▌ | 32142/70000 [11:22:37<13:33:42, 1.29s/step] Training: 46%|████▌ | 32143/70000 [11:22:38<13:21:32, 1.27s/step] Training: 46%|████▌ | 32144/70000 [11:22:40<13:30:36, 1.28s/step] Training: 46%|████▌ | 32145/70000 [11:22:41<13:41:28, 1.30s/step] Training: 46%|████▌ | 32146/70000 [11:22:42<13:19:52, 1.27s/step] Training: 46%|████▌ | 32147/70000 [11:22:43<13:14:40, 1.26s/step] Training: 46%|████▌ | 32148/70000 [11:22:45<13:27:52, 1.28s/step] Training: 46%|████▌ | 32149/70000 [11:22:46<13:11:04, 1.25s/step] Training: 46%|████▌ | 32150/70000 [11:22:47<13:19:57, 1.27s/step] Training: 46%|████▌ | 32151/70000 [11:22:48<13:06:41, 1.25s/step] Training: 46%|████▌ | 32152/70000 [11:22:50<13:04:39, 1.24s/step] Training: 46%|████▌ | 32153/70000 [11:22:51<13:08:05, 1.25s/step] Training: 46%|████▌ | 32154/70000 [11:22:52<12:56:01, 1.23s/step] Training: 46%|████▌ | 32155/70000 [11:22:53<12:52:30, 1.22s/step] Training: 46%|████▌ | 32156/70000 [11:22:55<13:18:57, 1.27s/step] Training: 46%|████▌ | 32157/70000 [11:22:56<13:04:58, 1.24s/step] Training: 46%|████▌ | 32158/70000 [11:22:57<13:26:16, 1.28s/step] Training: 46%|████▌ | 32159/70000 [11:22:58<13:34:30, 1.29s/step] Training: 46%|████▌ | 32160/70000 [11:23:00<13:19:11, 1.27s/step] Training: 46%|████▌ | 32161/70000 [11:23:01<13:09:21, 1.25s/step] Training: 46%|████▌ | 32162/70000 [11:23:02<13:15:29, 1.26s/step] Training: 46%|████▌ | 32163/70000 [11:23:03<13:27:59, 1.28s/step] Training: 46%|████▌ | 32164/70000 [11:23:05<13:18:02, 1.27s/step] Training: 46%|████▌ | 32165/70000 [11:23:06<13:03:41, 1.24s/step] Training: 46%|████▌ | 32166/70000 [11:23:07<12:53:22, 1.23s/step] Training: 46%|████▌ | 32167/70000 [11:23:09<13:38:25, 1.30s/step] Training: 46%|████▌ | 32168/70000 [11:23:10<13:44:09, 1.31s/step] Training: 46%|████▌ | 32169/70000 [11:23:11<13:47:47, 1.31s/step] Training: 46%|████▌ | 32170/70000 [11:23:12<13:24:22, 1.28s/step] Training: 46%|████▌ | 32171/70000 [11:23:14<13:34:37, 1.29s/step] Training: 46%|████▌ | 32172/70000 [11:23:15<13:40:42, 1.30s/step] Training: 46%|████▌ | 32173/70000 [11:23:16<13:19:41, 1.27s/step] Training: 46%|████▌ | 32174/70000 [11:23:17<13:04:25, 1.24s/step] Training: 46%|████▌ | 32175/70000 [11:23:19<13:22:14, 1.27s/step] Training: 46%|████▌ | 32176/70000 [11:23:20<13:33:58, 1.29s/step] Training: 46%|████▌ | 32177/70000 [11:23:21<13:48:08, 1.31s/step] Training: 46%|████▌ | 32178/70000 [11:23:23<13:24:10, 1.28s/step] Training: 46%|████▌ | 32179/70000 [11:23:24<13:13:39, 1.26s/step] Training: 46%|████▌ | 32180/70000 [11:23:25<13:28:47, 1.28s/step] Training: 46%|████▌ | 32181/70000 [11:23:26<13:11:07, 1.26s/step] Training: 46%|████▌ | 32182/70000 [11:23:28<12:59:09, 1.24s/step] Training: 46%|████▌ | 32183/70000 [11:23:29<12:56:33, 1.23s/step] Training: 46%|████▌ | 32184/70000 [11:23:30<12:51:23, 1.22s/step] Training: 46%|████▌ | 32185/70000 [11:23:31<12:54:36, 1.23s/step] Training: 46%|████▌ | 32186/70000 [11:23:32<12:46:36, 1.22s/step] Training: 46%|████▌ | 32187/70000 [11:23:34<12:46:21, 1.22s/step] Training: 46%|████▌ | 32188/70000 [11:23:35<13:12:31, 1.26s/step] Training: 46%|████▌ | 32189/70000 [11:23:36<12:59:50, 1.24s/step] Training: 46%|████▌ | 32190/70000 [11:23:37<12:50:26, 1.22s/step] Training: 46%|████▌ | 32191/70000 [11:23:39<13:18:49, 1.27s/step] Training: 46%|████▌ | 32192/70000 [11:23:40<13:15:23, 1.26s/step] Training: 46%|████▌ | 32193/70000 [11:23:41<13:27:39, 1.28s/step] Training: 46%|████▌ | 32194/70000 [11:23:43<13:10:25, 1.25s/step] Training: 46%|████▌ | 32195/70000 [11:23:44<13:25:46, 1.28s/step] Training: 46%|████▌ | 32196/70000 [11:23:45<13:12:57, 1.26s/step] Training: 46%|████▌ | 32197/70000 [11:23:46<13:00:33, 1.24s/step] Training: 46%|████▌ | 32198/70000 [11:23:47<12:51:04, 1.22s/step] Training: 46%|████▌ | 32199/70000 [11:23:49<13:11:23, 1.26s/step] Training: 46%|████▌ | 32200/70000 [11:23:50<12:59:09, 1.24s/step]INFO 2026-03-13 07:33:42 ot_train.py:435 step:32K smpl:2M ep:7K epch:27.29 loss:0.022 grdn:3.670 lr:1.5e-05 updt_s:1.241 data_s:0.019 Training: 46%|████▌ | 32201/70000 [11:23:51<13:41:23, 1.30s/step] Training: 46%|████▌ | 32202/70000 [11:23:53<13:19:51, 1.27s/step] Training: 46%|████▌ | 32203/70000 [11:23:54<13:29:39, 1.29s/step] Training: 46%|████▌ | 32204/70000 [11:23:55<13:38:02, 1.30s/step] Training: 46%|████▌ | 32205/70000 [11:23:56<13:17:19, 1.27s/step] Training: 46%|████▌ | 32206/70000 [11:23:58<13:02:49, 1.24s/step] Training: 46%|████▌ | 32207/70000 [11:23:59<13:01:36, 1.24s/step] Training: 46%|████▌ | 32208/70000 [11:24:00<13:33:19, 1.29s/step] Training: 46%|████▌ | 32209/70000 [11:24:02<13:48:15, 1.32s/step] Training: 46%|████▌ | 32210/70000 [11:24:03<13:24:00, 1.28s/step] Training: 46%|████▌ | 32211/70000 [11:24:04<13:14:30, 1.26s/step] Training: 46%|████▌ | 32212/70000 [11:24:05<13:28:42, 1.28s/step] Training: 46%|████▌ | 32213/70000 [11:24:07<13:10:46, 1.26s/step] Training: 46%|████▌ | 32214/70000 [11:24:08<12:58:18, 1.24s/step] Training: 46%|████▌ | 32215/70000 [11:24:09<12:56:55, 1.23s/step] Training: 46%|████▌ | 32216/70000 [11:24:10<13:02:33, 1.24s/step] Training: 46%|████▌ | 32217/70000 [11:24:12<13:04:42, 1.25s/step] Training: 46%|████▌ | 32218/70000 [11:24:13<12:53:59, 1.23s/step] Training: 46%|████▌ | 32219/70000 [11:24:14<12:50:09, 1.22s/step] Training: 46%|████▌ | 32220/70000 [11:24:15<13:17:01, 1.27s/step] Training: 46%|████▌ | 32221/70000 [11:24:17<13:02:12, 1.24s/step] Training: 46%|████▌ | 32222/70000 [11:24:18<12:51:50, 1.23s/step] Training: 46%|████▌ | 32223/70000 [11:24:19<12:44:51, 1.21s/step] Training: 46%|████▌ | 32224/70000 [11:24:20<13:05:46, 1.25s/step] Training: 46%|████▌ | 32225/70000 [11:24:22<13:19:46, 1.27s/step] Training: 46%|████▌ | 32226/70000 [11:24:23<13:03:56, 1.25s/step] Training: 46%|████▌ | 32227/70000 [11:24:24<13:19:30, 1.27s/step] Training: 46%|████▌ | 32228/70000 [11:24:25<13:09:10, 1.25s/step] Training: 46%|████▌ | 32229/70000 [11:24:26<12:57:42, 1.24s/step] Training: 46%|████▌ | 32230/70000 [11:24:28<12:48:23, 1.22s/step] Training: 46%|████▌ | 32231/70000 [11:24:29<12:43:13, 1.21s/step] Training: 46%|████▌ | 32232/70000 [11:24:30<13:05:42, 1.25s/step] Training: 46%|████▌ | 32233/70000 [11:24:32<13:50:48, 1.32s/step] Training: 46%|████▌ | 32234/70000 [11:24:33<13:26:08, 1.28s/step] Training: 46%|████▌ | 32235/70000 [11:24:34<13:34:40, 1.29s/step] Training: 46%|████▌ | 32236/70000 [11:24:36<13:41:16, 1.30s/step] Training: 46%|████▌ | 32237/70000 [11:24:37<13:18:45, 1.27s/step] Training: 46%|████▌ | 32238/70000 [11:24:38<13:03:15, 1.24s/step] Training: 46%|████▌ | 32239/70000 [11:24:39<12:52:29, 1.23s/step] Training: 46%|████▌ | 32240/70000 [11:24:40<13:05:21, 1.25s/step] Training: 46%|████▌ | 32241/70000 [11:24:42<13:35:15, 1.30s/step] Training: 46%|████▌ | 32242/70000 [11:24:43<13:14:16, 1.26s/step] Training: 46%|████▌ | 32243/70000 [11:24:44<13:05:58, 1.25s/step] Training: 46%|████▌ | 32244/70000 [11:24:46<13:21:52, 1.27s/step] Training: 46%|████▌ | 32245/70000 [11:24:47<13:05:25, 1.25s/step] Training: 46%|████▌ | 32246/70000 [11:24:48<12:54:02, 1.23s/step] Training: 46%|████▌ | 32247/70000 [11:24:49<12:46:10, 1.22s/step] Training: 46%|████▌ | 32248/70000 [11:24:50<13:18:24, 1.27s/step] Training: 46%|████▌ | 32249/70000 [11:24:52<13:40:19, 1.30s/step] Training: 46%|████▌ | 32250/70000 [11:24:53<13:16:43, 1.27s/step] Training: 46%|████▌ | 32251/70000 [11:24:54<13:05:15, 1.25s/step] Training: 46%|████▌ | 32252/70000 [11:24:56<13:25:00, 1.28s/step] Training: 46%|████▌ | 32253/70000 [11:24:57<13:08:21, 1.25s/step] Training: 46%|████▌ | 32254/70000 [11:24:58<12:55:22, 1.23s/step] Training: 46%|████▌ | 32255/70000 [11:24:59<12:47:01, 1.22s/step] Training: 46%|████▌ | 32256/70000 [11:25:00<12:47:19, 1.22s/step] Training: 46%|████▌ | 32257/70000 [11:25:02<13:11:36, 1.26s/step] Training: 46%|████▌ | 32258/70000 [11:25:03<12:56:41, 1.23s/step] Training: 46%|████▌ | 32259/70000 [11:25:04<13:13:45, 1.26s/step] Training: 46%|████▌ | 32260/70000 [11:25:05<13:04:28, 1.25s/step] Training: 46%|████▌ | 32261/70000 [11:25:07<12:53:38, 1.23s/step] Training: 46%|████▌ | 32262/70000 [11:25:08<12:45:53, 1.22s/step] Training: 46%|████▌ | 32263/70000 [11:25:09<12:40:31, 1.21s/step] Training: 46%|████▌ | 32264/70000 [11:25:10<12:43:44, 1.21s/step] Training: 46%|████▌ | 32265/70000 [11:25:12<13:31:07, 1.29s/step] Training: 46%|████▌ | 32266/70000 [11:25:13<13:39:47, 1.30s/step] Training: 46%|████▌ | 32267/70000 [11:25:14<13:43:41, 1.31s/step] Training: 46%|████▌ | 32268/70000 [11:25:16<13:46:59, 1.32s/step] Training: 46%|████▌ | 32269/70000 [11:25:17<13:23:05, 1.28s/step] Training: 46%|████▌ | 32270/70000 [11:25:18<13:06:49, 1.25s/step] Training: 46%|████▌ | 32271/70000 [11:25:19<12:54:49, 1.23s/step] Training: 46%|████▌ | 32272/70000 [11:25:21<13:13:14, 1.26s/step] Training: 46%|████▌ | 32273/70000 [11:25:22<13:34:28, 1.30s/step] Training: 46%|████▌ | 32274/70000 [11:25:23<13:43:42, 1.31s/step] Training: 46%|████▌ | 32275/70000 [11:25:25<13:24:52, 1.28s/step] Training: 46%|████▌ | 32276/70000 [11:25:26<13:34:01, 1.29s/step] Training: 46%|████▌ | 32277/70000 [11:25:27<13:15:10, 1.26s/step] Training: 46%|████▌ | 32278/70000 [11:25:28<13:00:21, 1.24s/step] Training: 46%|████▌ | 32279/70000 [11:25:29<12:50:12, 1.23s/step] Training: 46%|████▌ | 32280/70000 [11:25:31<13:12:18, 1.26s/step] Training: 46%|████▌ | 32281/70000 [11:25:32<13:09:35, 1.26s/step] Training: 46%|████▌ | 32282/70000 [11:25:33<13:23:06, 1.28s/step] Training: 46%|████▌ | 32283/70000 [11:25:35<13:08:58, 1.26s/step] Training: 46%|████▌ | 32284/70000 [11:25:36<13:28:59, 1.29s/step] Training: 46%|████▌ | 32285/70000 [11:25:37<13:10:48, 1.26s/step] Training: 46%|████▌ | 32286/70000 [11:25:38<12:58:35, 1.24s/step] Training: 46%|████▌ | 32287/70000 [11:25:39<12:49:08, 1.22s/step] Training: 46%|████▌ | 32288/70000 [11:25:41<13:10:33, 1.26s/step] Training: 46%|████▌ | 32289/70000 [11:25:42<13:23:18, 1.28s/step] Training: 46%|████▌ | 32290/70000 [11:25:43<13:37:35, 1.30s/step] Training: 46%|████▌ | 32291/70000 [11:25:45<13:39:18, 1.30s/step] Training: 46%|████▌ | 32292/70000 [11:25:46<13:24:20, 1.28s/step] Training: 46%|████▌ | 32293/70000 [11:25:47<13:06:45, 1.25s/step] Training: 46%|████▌ | 32294/70000 [11:25:48<12:54:45, 1.23s/step] Training: 46%|████▌ | 32295/70000 [11:25:50<12:46:09, 1.22s/step] Training: 46%|████▌ | 32296/70000 [11:25:51<12:49:32, 1.22s/step] Training: 46%|████▌ | 32297/70000 [11:25:52<13:37:25, 1.30s/step] Training: 46%|████▌ | 32298/70000 [11:25:54<13:26:23, 1.28s/step] Training: 46%|████▌ | 32299/70000 [11:25:55<13:31:21, 1.29s/step] Training: 46%|████▌ | 32300/70000 [11:25:56<13:37:22, 1.30s/step]INFO 2026-03-13 07:35:48 ot_train.py:435 step:32K smpl:2M ep:7K epch:27.38 loss:0.022 grdn:3.405 lr:1.4e-05 updt_s:1.241 data_s:0.019 Training: 46%|████▌ | 32301/70000 [11:25:57<13:16:04, 1.27s/step] Training: 46%|████▌ | 32302/70000 [11:25:59<13:00:33, 1.24s/step] Training: 46%|████▌ | 32303/70000 [11:26:00<12:50:13, 1.23s/step] Training: 46%|████▌ | 32304/70000 [11:26:01<12:46:44, 1.22s/step] Training: 46%|████▌ | 32305/70000 [11:26:02<13:15:54, 1.27s/step] Training: 46%|████▌ | 32306/70000 [11:26:03<13:00:43, 1.24s/step] Training: 46%|████▌ | 32307/70000 [11:26:05<13:20:31, 1.27s/step] Training: 46%|████▌ | 32308/70000 [11:26:06<13:29:09, 1.29s/step] Training: 46%|████▌ | 32309/70000 [11:26:07<13:10:12, 1.26s/step] Training: 46%|████▌ | 32310/70000 [11:26:09<12:56:44, 1.24s/step] Training: 46%|████▌ | 32311/70000 [11:26:10<12:48:01, 1.22s/step] Training: 46%|████▌ | 32312/70000 [11:26:11<13:14:49, 1.27s/step] Training: 46%|████▌ | 32313/70000 [11:26:12<13:07:51, 1.25s/step] Training: 46%|████▌ | 32314/70000 [11:26:14<12:56:46, 1.24s/step] Training: 46%|████▌ | 32315/70000 [11:26:15<13:10:51, 1.26s/step] Training: 46%|████▌ | 32316/70000 [11:26:16<13:25:59, 1.28s/step] Training: 46%|████▌ | 32317/70000 [11:26:17<13:08:23, 1.26s/step] Training: 46%|████▌ | 32318/70000 [11:26:19<12:56:44, 1.24s/step] Training: 46%|████▌ | 32319/70000 [11:26:20<12:47:13, 1.22s/step] Training: 46%|████▌ | 32320/70000 [11:26:21<13:08:55, 1.26s/step] Training: 46%|████▌ | 32321/70000 [11:26:22<13:24:20, 1.28s/step] Training: 46%|████▌ | 32322/70000 [11:26:24<13:07:21, 1.25s/step] Training: 46%|████▌ | 32323/70000 [11:26:25<13:39:37, 1.31s/step] Training: 46%|████▌ | 32324/70000 [11:26:26<13:21:08, 1.28s/step] Training: 46%|████▌ | 32325/70000 [11:26:27<13:04:52, 1.25s/step] Training: 46%|████▌ | 32326/70000 [11:26:29<12:52:41, 1.23s/step] Training: 46%|████▌ | 32327/70000 [11:26:30<12:44:56, 1.22s/step] Training: 46%|████▌ | 32328/70000 [11:26:31<13:14:16, 1.27s/step] Training: 46%|████▌ | 32329/70000 [11:26:32<13:24:47, 1.28s/step] Training: 46%|████▌ | 32330/70000 [11:26:34<13:09:42, 1.26s/step] Training: 46%|████▌ | 32331/70000 [11:26:35<13:21:00, 1.28s/step] Training: 46%|████▌ | 32332/70000 [11:26:36<13:50:08, 1.32s/step] Training: 46%|████▌ | 32333/70000 [11:26:38<13:25:32, 1.28s/step] Training: 46%|████▌ | 32334/70000 [11:26:39<13:07:41, 1.25s/step] Training: 46%|████▌ | 32335/70000 [11:26:40<12:54:53, 1.23s/step] Training: 46%|████▌ | 32336/70000 [11:26:41<13:13:41, 1.26s/step] Training: 46%|████▌ | 32337/70000 [11:26:43<13:38:00, 1.30s/step] Training: 46%|████▌ | 32338/70000 [11:26:44<13:16:22, 1.27s/step] Training: 46%|████▌ | 32339/70000 [11:26:45<13:07:26, 1.25s/step] Training: 46%|████▌ | 32340/70000 [11:26:47<13:43:07, 1.31s/step] Training: 46%|████▌ | 32341/70000 [11:26:48<13:19:54, 1.27s/step] Training: 46%|████▌ | 32342/70000 [11:26:49<13:03:30, 1.25s/step] Training: 46%|████▌ | 32343/70000 [11:26:50<12:52:45, 1.23s/step] Training: 46%|████▌ | 32344/70000 [11:26:52<13:16:24, 1.27s/step] Training: 46%|████▌ | 32345/70000 [11:26:53<13:08:40, 1.26s/step] Training: 46%|████▌ | 32346/70000 [11:26:54<12:55:38, 1.24s/step] Training: 46%|████▌ | 32347/70000 [11:26:55<12:49:42, 1.23s/step] Training: 46%|████▌ | 32348/70000 [11:26:57<13:16:16, 1.27s/step] Training: 46%|████▌ | 32349/70000 [11:26:58<13:01:23, 1.25s/step] Training: 46%|████▌ | 32350/70000 [11:26:59<12:50:36, 1.23s/step] Training: 46%|████▌ | 32351/70000 [11:27:00<12:43:36, 1.22s/step] Training: 46%|████▌ | 32352/70000 [11:27:01<13:03:07, 1.25s/step] Training: 46%|████▌ | 32353/70000 [11:27:03<13:16:35, 1.27s/step] Training: 46%|████▌ | 32354/70000 [11:27:04<13:00:33, 1.24s/step] Training: 46%|████▌ | 32355/70000 [11:27:05<13:16:07, 1.27s/step] Training: 46%|████▌ | 32356/70000 [11:27:06<13:11:44, 1.26s/step] Training: 46%|████▌ | 32357/70000 [11:27:08<12:59:21, 1.24s/step] Training: 46%|████▌ | 32358/70000 [11:27:09<12:48:41, 1.23s/step] Training: 46%|████▌ | 32359/70000 [11:27:10<12:41:23, 1.21s/step] Training: 46%|████▌ | 32360/70000 [11:27:11<13:11:11, 1.26s/step] Training: 46%|████▌ | 32361/70000 [11:27:13<13:22:44, 1.28s/step] Training: 46%|████▌ | 32362/70000 [11:27:14<13:08:06, 1.26s/step] Training: 46%|████▌ | 32363/70000 [11:27:15<13:22:25, 1.28s/step] Training: 46%|████▌ | 32364/70000 [11:27:17<13:31:38, 1.29s/step] Training: 46%|████▌ | 32365/70000 [11:27:18<13:11:48, 1.26s/step] Training: 46%|████▌ | 32366/70000 [11:27:19<12:58:11, 1.24s/step] Training: 46%|████▌ | 32367/70000 [11:27:20<12:48:54, 1.23s/step] Training: 46%|████▌ | 32368/70000 [11:27:22<13:09:08, 1.26s/step] Training: 46%|████▌ | 32369/70000 [11:27:23<13:29:10, 1.29s/step] Training: 46%|████▌ | 32370/70000 [11:27:24<13:10:41, 1.26s/step] Training: 46%|████▌ | 32371/70000 [11:27:25<13:03:12, 1.25s/step] Training: 46%|████▌ | 32372/70000 [11:27:27<13:16:41, 1.27s/step] Training: 46%|████▌ | 32373/70000 [11:27:28<13:35:30, 1.30s/step] Training: 46%|████▌ | 32374/70000 [11:27:29<13:12:48, 1.26s/step] Training: 46%|████▋ | 32375/70000 [11:27:30<12:58:55, 1.24s/step] Training: 46%|████▋ | 32376/70000 [11:27:32<13:21:55, 1.28s/step] Training: 46%|████▋ | 32377/70000 [11:27:33<13:10:43, 1.26s/step] Training: 46%|████▋ | 32378/70000 [11:27:34<12:56:51, 1.24s/step] Training: 46%|████▋ | 32379/70000 [11:27:35<12:50:53, 1.23s/step] Training: 46%|████▋ | 32380/70000 [11:27:37<12:48:28, 1.23s/step] Training: 46%|████▋ | 32381/70000 [11:27:38<13:35:23, 1.30s/step] Training: 46%|████▋ | 32382/70000 [11:27:39<13:12:56, 1.26s/step] Training: 46%|████▋ | 32383/70000 [11:27:40<12:57:59, 1.24s/step] Training: 46%|████▋ | 32384/70000 [11:27:42<13:13:49, 1.27s/step] Training: 46%|████▋ | 32385/70000 [11:27:43<13:24:54, 1.28s/step] Training: 46%|████▋ | 32386/70000 [11:27:44<13:07:32, 1.26s/step] Training: 46%|████▋ | 32387/70000 [11:27:46<13:23:11, 1.28s/step] Training: 46%|████▋ | 32388/70000 [11:27:47<13:10:13, 1.26s/step] Training: 46%|████▋ | 32389/70000 [11:27:48<12:57:07, 1.24s/step] Training: 46%|████▋ | 32390/70000 [11:27:49<13:15:44, 1.27s/step] Training: 46%|████▋ | 32391/70000 [11:27:50<12:59:15, 1.24s/step] Training: 46%|████▋ | 32392/70000 [11:27:52<13:23:13, 1.28s/step] Training: 46%|████▋ | 32393/70000 [11:27:53<13:31:20, 1.29s/step] Training: 46%|████▋ | 32394/70000 [11:27:54<13:15:35, 1.27s/step] Training: 46%|████▋ | 32395/70000 [11:27:56<13:25:13, 1.28s/step] Training: 46%|████▋ | 32396/70000 [11:27:57<13:34:52, 1.30s/step] Training: 46%|████▋ | 32397/70000 [11:27:58<13:48:50, 1.32s/step] Training: 46%|████▋ | 32398/70000 [11:28:00<13:22:04, 1.28s/step] Training: 46%|████▋ | 32399/70000 [11:28:01<13:04:19, 1.25s/step] Training: 46%|████▋ | 32400/70000 [11:28:02<13:19:55, 1.28s/step]INFO 2026-03-13 07:37:54 ot_train.py:435 step:32K smpl:2M ep:7K epch:27.46 loss:0.022 grdn:3.587 lr:1.4e-05 updt_s:1.238 data_s:0.019 Training: 46%|████▋ | 32401/70000 [11:28:04<13:41:17, 1.31s/step] Training: 46%|████▋ | 32402/70000 [11:28:05<13:18:14, 1.27s/step] Training: 46%|████▋ | 32403/70000 [11:28:06<13:08:02, 1.26s/step] Training: 46%|████▋ | 32404/70000 [11:28:07<13:21:24, 1.28s/step] Training: 46%|████▋ | 32405/70000 [11:28:08<13:10:56, 1.26s/step] Training: 46%|████▋ | 32406/70000 [11:28:10<13:25:42, 1.29s/step] Training: 46%|████▋ | 32407/70000 [11:28:11<13:05:34, 1.25s/step] Training: 46%|████▋ | 32408/70000 [11:28:12<13:28:59, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=17278 Training: 46%|████▋ | 32409/70000 [11:28:14<13:19:25, 1.28s/step] Training: 46%|████▋ | 32410/70000 [11:28:15<13:02:54, 1.25s/step] Training: 46%|████▋ | 32411/70000 [11:28:16<12:54:25, 1.24s/step] Training: 46%|████▋ | 32412/70000 [11:28:17<12:52:15, 1.23s/step] Training: 46%|████▋ | 32413/70000 [11:28:18<12:44:00, 1.22s/step] Training: 46%|████▋ | 32414/70000 [11:28:20<13:06:31, 1.26s/step] Training: 46%|████▋ | 32415/70000 [11:28:21<12:53:47, 1.24s/step] Training: 46%|████▋ | 32416/70000 [11:28:22<13:10:09, 1.26s/step] Training: 46%|████▋ | 32417/70000 [11:28:24<13:22:03, 1.28s/step] Training: 46%|████▋ | 32418/70000 [11:28:25<13:04:25, 1.25s/step] Training: 46%|████▋ | 32419/70000 [11:28:26<13:19:54, 1.28s/step] Training: 46%|████▋ | 32420/70000 [11:28:27<13:06:59, 1.26s/step] Training: 46%|████▋ | 32421/70000 [11:28:29<12:53:44, 1.24s/step] Training: 46%|████▋ | 32422/70000 [11:28:30<12:44:21, 1.22s/step] Training: 46%|████▋ | 32423/70000 [11:28:31<12:38:23, 1.21s/step] Training: 46%|████▋ | 32424/70000 [11:28:32<13:08:51, 1.26s/step] Training: 46%|████▋ | 32425/70000 [11:28:34<13:20:22, 1.28s/step] Training: 46%|████▋ | 32426/70000 [11:28:35<13:08:30, 1.26s/step] Training: 46%|████▋ | 32427/70000 [11:28:36<13:24:42, 1.29s/step] Training: 46%|████▋ | 32428/70000 [11:28:37<13:33:32, 1.30s/step] Training: 46%|████▋ | 32429/70000 [11:28:39<13:20:36, 1.28s/step] Training: 46%|████▋ | 32430/70000 [11:28:40<13:15:06, 1.27s/step] Training: 46%|████▋ | 32431/70000 [11:28:41<13:00:09, 1.25s/step] Training: 46%|████▋ | 32432/70000 [11:28:42<13:14:43, 1.27s/step] Training: 46%|████▋ | 32433/70000 [11:28:44<13:33:43, 1.30s/step] Training: 46%|████▋ | 32434/70000 [11:28:45<13:12:56, 1.27s/step] Training: 46%|████▋ | 32435/70000 [11:28:46<13:07:06, 1.26s/step] Training: 46%|████▋ | 32436/70000 [11:28:48<13:19:41, 1.28s/step] Training: 46%|████▋ | 32437/70000 [11:28:49<13:07:08, 1.26s/step] Training: 46%|████▋ | 32438/70000 [11:28:50<13:04:40, 1.25s/step] Training: 46%|████▋ | 32439/70000 [11:28:51<12:50:15, 1.23s/step] Training: 46%|████▋ | 32440/70000 [11:28:52<12:49:10, 1.23s/step] Training: 46%|████▋ | 32441/70000 [11:28:54<13:07:03, 1.26s/step] Training: 46%|████▋ | 32442/70000 [11:28:55<12:54:40, 1.24s/step] Training: 46%|████▋ | 32443/70000 [11:28:56<12:49:02, 1.23s/step] Training: 46%|████▋ | 32444/70000 [11:28:57<12:48:35, 1.23s/step] Training: 46%|████▋ | 32445/70000 [11:28:59<13:08:12, 1.26s/step] Training: 46%|████▋ | 32446/70000 [11:29:00<12:55:52, 1.24s/step] Training: 46%|████▋ | 32447/70000 [11:29:01<13:20:41, 1.28s/step] Training: 46%|████▋ | 32448/70000 [11:29:03<13:29:45, 1.29s/step] Training: 46%|████▋ | 32449/70000 [11:29:04<13:20:12, 1.28s/step] Training: 46%|████▋ | 32450/70000 [11:29:05<13:28:22, 1.29s/step] Training: 46%|████▋ | 32451/70000 [11:29:07<13:36:14, 1.30s/step] Training: 46%|████▋ | 32452/70000 [11:29:08<13:18:54, 1.28s/step] Training: 46%|████▋ | 32453/70000 [11:29:09<13:27:48, 1.29s/step] Training: 46%|████▋ | 32454/70000 [11:29:10<13:09:32, 1.26s/step] Training: 46%|████▋ | 32455/70000 [11:29:12<13:15:18, 1.27s/step] Training: 46%|████▋ | 32456/70000 [11:29:13<13:04:34, 1.25s/step] Training: 46%|████▋ | 32457/70000 [11:29:14<13:12:33, 1.27s/step] Training: 46%|████▋ | 32458/70000 [11:29:15<13:23:15, 1.28s/step] Training: 46%|████▋ | 32459/70000 [11:29:17<13:30:31, 1.30s/step] Training: 46%|████▋ | 32460/70000 [11:29:18<13:35:24, 1.30s/step] Training: 46%|████▋ | 32461/70000 [11:29:19<13:22:11, 1.28s/step] Training: 46%|████▋ | 32462/70000 [11:29:20<13:05:12, 1.26s/step] Training: 46%|████▋ | 32463/70000 [11:29:22<13:23:56, 1.29s/step] Training: 46%|████▋ | 32464/70000 [11:29:23<13:30:18, 1.30s/step] Training: 46%|████▋ | 32465/70000 [11:29:24<13:10:32, 1.26s/step] Training: 46%|████▋ | 32466/70000 [11:29:26<13:00:48, 1.25s/step] Training: 46%|████▋ | 32467/70000 [11:29:27<13:00:51, 1.25s/step] Training: 46%|████▋ | 32468/70000 [11:29:28<13:16:20, 1.27s/step] Training: 46%|████▋ | 32469/70000 [11:29:29<13:05:06, 1.26s/step] Training: 46%|████▋ | 32470/70000 [11:29:30<12:52:57, 1.24s/step] Training: 46%|████▋ | 32471/70000 [11:29:32<13:15:36, 1.27s/step] Training: 46%|████▋ | 32472/70000 [11:29:33<13:02:44, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=17278 Training: 46%|████▋ | 32473/70000 [11:29:34<13:15:17, 1.27s/step] Training: 46%|████▋ | 32474/70000 [11:29:36<13:26:39, 1.29s/step] Training: 46%|████▋ | 32475/70000 [11:29:37<13:15:23, 1.27s/step] Training: 46%|████▋ | 32476/70000 [11:29:38<13:05:21, 1.26s/step] Training: 46%|████▋ | 32477/70000 [11:29:39<12:52:07, 1.23s/step] Training: 46%|████▋ | 32478/70000 [11:29:41<13:10:50, 1.26s/step] Training: 46%|████▋ | 32479/70000 [11:29:42<12:56:34, 1.24s/step] Training: 46%|████▋ | 32480/70000 [11:29:43<13:36:40, 1.31s/step] Training: 46%|████▋ | 32481/70000 [11:29:45<13:18:44, 1.28s/step] Training: 46%|████▋ | 32482/70000 [11:29:46<13:27:27, 1.29s/step] Training: 46%|████▋ | 32483/70000 [11:29:47<13:34:12, 1.30s/step] Training: 46%|████▋ | 32484/70000 [11:29:48<13:19:02, 1.28s/step] Training: 46%|████▋ | 32485/70000 [11:29:50<13:02:21, 1.25s/step] Training: 46%|████▋ | 32486/70000 [11:29:51<13:05:06, 1.26s/step] Training: 46%|████▋ | 32487/70000 [11:29:52<12:52:20, 1.24s/step] Training: 46%|████▋ | 32488/70000 [11:29:53<13:13:15, 1.27s/step] Training: 46%|████▋ | 32489/70000 [11:29:55<13:41:19, 1.31s/step] Training: 46%|████▋ | 32490/70000 [11:29:56<13:43:36, 1.32s/step] Training: 46%|████▋ | 32491/70000 [11:29:57<13:45:32, 1.32s/step] Training: 46%|████▋ | 32492/70000 [11:29:59<13:46:52, 1.32s/step] Training: 46%|████▋ | 32493/70000 [11:30:00<13:21:38, 1.28s/step] Training: 46%|████▋ | 32494/70000 [11:30:01<13:10:35, 1.26s/step] Training: 46%|████▋ | 32495/70000 [11:30:02<12:56:36, 1.24s/step] Training: 46%|████▋ | 32496/70000 [11:30:04<13:28:18, 1.29s/step] Training: 46%|████▋ | 32497/70000 [11:30:05<13:34:04, 1.30s/step] Training: 46%|████▋ | 32498/70000 [11:30:06<13:15:27, 1.27s/step] Training: 46%|████▋ | 32499/70000 [11:30:08<13:07:13, 1.26s/step] Training: 46%|████▋ | 32500/70000 [11:30:09<13:18:28, 1.28s/step]INFO 2026-03-13 07:40:01 ot_train.py:435 step:32K smpl:2M ep:7K epch:27.55 loss:0.022 grdn:3.340 lr:1.4e-05 updt_s:1.247 data_s:0.019 Training: 46%|████▋ | 32501/70000 [11:30:10<13:02:05, 1.25s/step] Training: 46%|████▋ | 32502/70000 [11:30:11<13:21:10, 1.28s/step] Training: 46%|████▋ | 32503/70000 [11:30:13<13:08:16, 1.26s/step] Training: 46%|████▋ | 32504/70000 [11:30:14<13:28:03, 1.29s/step] Training: 46%|████▋ | 32505/70000 [11:30:15<13:14:09, 1.27s/step] Training: 46%|████▋ | 32506/70000 [11:30:17<13:24:01, 1.29s/step] Training: 46%|████▋ | 32507/70000 [11:30:18<13:10:02, 1.26s/step] Training: 46%|████▋ | 32508/70000 [11:30:19<13:02:09, 1.25s/step] Training: 46%|████▋ | 32509/70000 [11:30:20<12:50:07, 1.23s/step] Training: 46%|████▋ | 32510/70000 [11:30:22<13:07:37, 1.26s/step] Training: 46%|████▋ | 32511/70000 [11:30:23<12:54:39, 1.24s/step] Training: 46%|████▋ | 32512/70000 [11:30:24<13:11:35, 1.27s/step] Training: 46%|████▋ | 32513/70000 [11:30:25<13:02:36, 1.25s/step] Training: 46%|████▋ | 32514/70000 [11:30:27<13:16:21, 1.27s/step] Training: 46%|████▋ | 32515/70000 [11:30:28<13:27:11, 1.29s/step] Training: 46%|████▋ | 32516/70000 [11:30:29<13:11:20, 1.27s/step] Training: 46%|████▋ | 32517/70000 [11:30:30<12:57:08, 1.24s/step] Training: 46%|████▋ | 32518/70000 [11:30:32<13:10:27, 1.27s/step] Training: 46%|████▋ | 32519/70000 [11:30:33<12:57:24, 1.24s/step] Training: 46%|████▋ | 32520/70000 [11:30:34<12:50:33, 1.23s/step] Training: 46%|████▋ | 32521/70000 [11:30:36<13:39:50, 1.31s/step] Training: 46%|████▋ | 32522/70000 [11:30:37<13:42:35, 1.32s/step] Training: 46%|████▋ | 32523/70000 [11:30:38<13:43:52, 1.32s/step] Training: 46%|████▋ | 32524/70000 [11:30:39<13:45:21, 1.32s/step] Training: 46%|████▋ | 32525/70000 [11:30:41<13:20:23, 1.28s/step] Training: 46%|████▋ | 32526/70000 [11:30:42<13:07:00, 1.26s/step] Training: 46%|████▋ | 32527/70000 [11:30:43<12:54:12, 1.24s/step] Training: 46%|████▋ | 32528/70000 [11:30:44<13:11:02, 1.27s/step] Training: 46%|████▋ | 32529/70000 [11:30:46<13:42:00, 1.32s/step] Training: 46%|████▋ | 32530/70000 [11:30:47<13:20:11, 1.28s/step] Training: 46%|████▋ | 32531/70000 [11:30:48<13:06:30, 1.26s/step] Training: 46%|████▋ | 32532/70000 [11:30:50<13:20:50, 1.28s/step] Training: 46%|████▋ | 32533/70000 [11:30:51<13:03:24, 1.25s/step] Training: 46%|████▋ | 32534/70000 [11:30:52<13:16:37, 1.28s/step] Training: 46%|████▋ | 32535/70000 [11:30:53<13:00:51, 1.25s/step] Training: 46%|████▋ | 32536/70000 [11:30:55<13:16:22, 1.28s/step] Training: 46%|████▋ | 32537/70000 [11:30:56<13:40:08, 1.31s/step] Training: 46%|████▋ | 32538/70000 [11:30:57<13:40:59, 1.31s/step] Training: 46%|████▋ | 32539/70000 [11:30:59<13:24:27, 1.29s/step] Training: 46%|████▋ | 32540/70000 [11:31:00<13:11:25, 1.27s/step] Training: 46%|████▋ | 32541/70000 [11:31:01<12:56:46, 1.24s/step] Training: 46%|████▋ | 32542/70000 [11:31:02<13:12:54, 1.27s/step] Training: 46%|████▋ | 32543/70000 [11:31:04<12:58:46, 1.25s/step] Training: 46%|████▋ | 32544/70000 [11:31:05<13:14:41, 1.27s/step] Training: 46%|████▋ | 32545/70000 [11:31:06<13:03:21, 1.25s/step] Training: 46%|████▋ | 32546/70000 [11:31:08<13:39:45, 1.31s/step] Training: 46%|████▋ | 32547/70000 [11:31:09<13:17:15, 1.28s/step] Training: 46%|████▋ | 32548/70000 [11:31:10<13:24:57, 1.29s/step] Training: 46%|████▋ | 32549/70000 [11:31:11<13:06:38, 1.26s/step] Training: 46%|████▋ | 32550/70000 [11:31:13<13:19:49, 1.28s/step] Training: 47%|████▋ | 32551/70000 [11:31:14<13:04:10, 1.26s/step] Training: 47%|████▋ | 32552/70000 [11:31:15<12:53:56, 1.24s/step] Training: 47%|████▋ | 32553/70000 [11:31:16<13:35:05, 1.31s/step] Training: 47%|████▋ | 32554/70000 [11:31:18<13:37:22, 1.31s/step] Training: 47%|████▋ | 32555/70000 [11:31:19<13:40:16, 1.31s/step] Training: 47%|████▋ | 32556/70000 [11:31:20<13:43:31, 1.32s/step] Training: 47%|████▋ | 32557/70000 [11:31:22<13:19:41, 1.28s/step] Training: 47%|████▋ | 32558/70000 [11:31:23<13:06:49, 1.26s/step] Training: 47%|████▋ | 32559/70000 [11:31:24<12:54:44, 1.24s/step] Training: 47%|████▋ | 32560/70000 [11:31:25<13:11:05, 1.27s/step] Training: 47%|████▋ | 32561/70000 [11:31:27<13:23:29, 1.29s/step] Training: 47%|████▋ | 32562/70000 [11:31:28<13:40:30, 1.31s/step] Training: 47%|████▋ | 32563/70000 [11:31:29<13:19:09, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=66465 Training: 47%|████▋ | 32564/70000 [11:31:31<13:26:51, 1.29s/step] Training: 47%|████▋ | 32565/70000 [11:31:32<13:07:07, 1.26s/step] Training: 47%|████▋ | 32566/70000 [11:31:33<12:53:25, 1.24s/step] Training: 47%|████▋ | 32567/70000 [11:31:34<13:10:21, 1.27s/step] Training: 47%|████▋ | 32568/70000 [11:31:35<12:58:41, 1.25s/step] Training: 47%|████▋ | 32569/70000 [11:31:37<13:12:41, 1.27s/step] Training: 47%|████▋ | 32570/70000 [11:31:38<13:21:32, 1.28s/step] Training: 47%|████▋ | 32571/70000 [11:31:39<13:35:46, 1.31s/step] Training: 47%|████▋ | 32572/70000 [11:31:41<13:19:06, 1.28s/step] Training: 47%|████▋ | 32573/70000 [11:31:42<13:02:06, 1.25s/step] Training: 47%|████▋ | 32574/70000 [11:31:43<12:50:27, 1.24s/step] Training: 47%|████▋ | 32575/70000 [11:31:44<12:58:18, 1.25s/step] Training: 47%|████▋ | 32576/70000 [11:31:46<12:52:22, 1.24s/step] Training: 47%|████▋ | 32577/70000 [11:31:47<12:46:21, 1.23s/step] Training: 47%|████▋ | 32578/70000 [11:31:48<13:05:09, 1.26s/step] Training: 47%|████▋ | 32579/70000 [11:31:49<13:22:44, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=66465 Training: 47%|████▋ | 32580/70000 [11:31:51<13:21:45, 1.29s/step] Training: 47%|████▋ | 32581/70000 [11:31:52<13:03:16, 1.26s/step] Training: 47%|████▋ | 32582/70000 [11:31:53<12:51:06, 1.24s/step] Training: 47%|████▋ | 32583/70000 [11:31:54<12:42:19, 1.22s/step] Training: 47%|████▋ | 32584/70000 [11:31:56<12:43:31, 1.22s/step] Training: 47%|████▋ | 32585/70000 [11:31:57<13:27:27, 1.29s/step] Training: 47%|████▋ | 32586/70000 [11:31:58<13:14:58, 1.27s/step] Training: 47%|████▋ | 32587/70000 [11:32:00<13:25:35, 1.29s/step] Training: 47%|████▋ | 32588/70000 [11:32:01<13:30:46, 1.30s/step] Training: 47%|████▋ | 32589/70000 [11:32:02<13:10:03, 1.27s/step] Training: 47%|████▋ | 32590/70000 [11:32:03<12:55:00, 1.24s/step] Training: 47%|████▋ | 32591/70000 [11:32:05<13:12:55, 1.27s/step] Training: 47%|████▋ | 32592/70000 [11:32:06<13:24:00, 1.29s/step] Training: 47%|████▋ | 32593/70000 [11:32:07<13:31:41, 1.30s/step] Training: 47%|████▋ | 32594/70000 [11:32:08<13:15:24, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=3212 Training: 47%|████▋ | 32595/70000 [11:32:10<13:03:24, 1.26s/step] Training: 47%|████▋ | 32596/70000 [11:32:11<13:18:00, 1.28s/step] Training: 47%|████▋ | 32597/70000 [11:32:12<13:01:21, 1.25s/step] Training: 47%|████▋ | 32598/70000 [11:32:13<12:50:49, 1.24s/step] Training: 47%|████▋ | 32599/70000 [11:32:15<13:07:56, 1.26s/step] Training: 47%|████▋ | 32600/70000 [11:32:16<13:23:39, 1.29s/step]INFO 2026-03-13 07:42:08 ot_train.py:435 step:33K smpl:2M ep:7K epch:27.63 loss:0.022 grdn:4.053 lr:1.4e-05 updt_s:1.250 data_s:0.019 Training: 47%|████▋ | 32601/70000 [11:32:17<13:14:18, 1.27s/step] Training: 47%|████▋ | 32602/70000 [11:32:19<13:24:05, 1.29s/step] Training: 47%|████▋ | 32603/70000 [11:32:20<13:19:24, 1.28s/step] Training: 47%|████▋ | 32604/70000 [11:32:21<13:36:40, 1.31s/step] Training: 47%|████▋ | 32605/70000 [11:32:22<13:14:40, 1.28s/step] Training: 47%|████▋ | 32606/70000 [11:32:24<12:59:13, 1.25s/step] Training: 47%|████▋ | 32607/70000 [11:32:25<12:55:28, 1.24s/step] Training: 47%|████▋ | 32608/70000 [11:32:26<13:10:26, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=17278 Training: 47%|████▋ | 32609/70000 [11:32:27<13:00:11, 1.25s/step] Training: 47%|████▋ | 32610/70000 [11:32:29<13:15:01, 1.28s/step] Training: 47%|████▋ | 32611/70000 [11:32:30<12:58:55, 1.25s/step] Training: 47%|████▋ | 32612/70000 [11:32:31<13:19:32, 1.28s/step] Training: 47%|████▋ | 32613/70000 [11:32:32<13:01:24, 1.25s/step] Training: 47%|████▋ | 32614/70000 [11:32:34<12:49:43, 1.24s/step] Training: 47%|████▋ | 32615/70000 [11:32:35<12:41:25, 1.22s/step] Training: 47%|████▋ | 32616/70000 [11:32:36<13:00:43, 1.25s/step] Training: 47%|████▋ | 32617/70000 [11:32:38<13:39:06, 1.31s/step] Training: 47%|████▋ | 32618/70000 [11:32:39<13:22:44, 1.29s/step] Training: 47%|████▋ | 32619/70000 [11:32:40<13:29:14, 1.30s/step] Training: 47%|████▋ | 32620/70000 [11:32:42<13:50:32, 1.33s/step] Training: 47%|████▋ | 32621/70000 [11:32:43<13:23:18, 1.29s/step] Training: 47%|████▋ | 32622/70000 [11:32:44<13:05:32, 1.26s/step] Training: 47%|████▋ | 32623/70000 [11:32:45<13:17:38, 1.28s/step] Training: 47%|████▋ | 32624/70000 [11:32:47<13:05:14, 1.26s/step] Training: 47%|████▋ | 32625/70000 [11:32:48<12:52:34, 1.24s/step] Training: 47%|████▋ | 32626/70000 [11:32:49<13:08:54, 1.27s/step] Training: 47%|████▋ | 32627/70000 [11:32:50<13:03:30, 1.26s/step] Training: 47%|████▋ | 32628/70000 [11:32:52<13:14:55, 1.28s/step] Training: 47%|████▋ | 32629/70000 [11:32:53<13:27:40, 1.30s/step] Training: 47%|████▋ | 32630/70000 [11:32:54<13:05:47, 1.26s/step] Training: 47%|████▋ | 32631/70000 [11:32:55<13:16:45, 1.28s/step] Training: 47%|████▋ | 32632/70000 [11:32:57<13:33:18, 1.31s/step] Training: 47%|████▋ | 32633/70000 [11:32:58<13:11:35, 1.27s/step] Training: 47%|████▋ | 32634/70000 [11:32:59<13:41:57, 1.32s/step] Training: 47%|████▋ | 32635/70000 [11:33:01<13:23:52, 1.29s/step] Training: 47%|████▋ | 32636/70000 [11:33:02<13:55:37, 1.34s/step] Training: 47%|████▋ | 32637/70000 [11:33:03<13:25:44, 1.29s/step] Training: 47%|████▋ | 32638/70000 [11:33:05<13:05:55, 1.26s/step] Training: 47%|████▋ | 32639/70000 [11:33:06<12:59:58, 1.25s/step] Training: 47%|████▋ | 32640/70000 [11:33:07<13:14:10, 1.28s/step] Training: 47%|████▋ | 32641/70000 [11:33:08<12:58:15, 1.25s/step] Training: 47%|████▋ | 32642/70000 [11:33:10<13:11:06, 1.27s/step] Training: 47%|████▋ | 32643/70000 [11:33:11<12:55:59, 1.25s/step] Training: 47%|████▋ | 32644/70000 [11:33:12<13:07:16, 1.26s/step] Training: 47%|████▋ | 32645/70000 [11:33:13<13:24:36, 1.29s/step] Training: 47%|████▋ | 32646/70000 [11:33:15<13:03:09, 1.26s/step] Training: 47%|████▋ | 32647/70000 [11:33:16<12:50:06, 1.24s/step] Training: 47%|████▋ | 32648/70000 [11:33:17<13:33:07, 1.31s/step] Training: 47%|████▋ | 32649/70000 [11:33:18<13:11:44, 1.27s/step] Training: 47%|████▋ | 32650/70000 [11:33:20<13:04:02, 1.26s/step] Training: 47%|████▋ | 32651/70000 [11:33:21<13:16:20, 1.28s/step] Training: 47%|████▋ | 32652/70000 [11:33:22<13:25:55, 1.29s/step] Training: 47%|████▋ | 32653/70000 [11:33:24<13:38:56, 1.32s/step] Training: 47%|████▋ | 32654/70000 [11:33:25<13:13:01, 1.27s/step] Training: 47%|████▋ | 32655/70000 [11:33:26<13:22:56, 1.29s/step] Training: 47%|████▋ | 32656/70000 [11:33:28<13:30:11, 1.30s/step] Training: 47%|████▋ | 32657/70000 [11:33:29<13:10:21, 1.27s/step] Training: 47%|████▋ | 32658/70000 [11:33:30<13:19:56, 1.29s/step] Training: 47%|████▋ | 32659/70000 [11:33:31<13:05:17, 1.26s/step] Training: 47%|████▋ | 32660/70000 [11:33:33<13:19:04, 1.28s/step] Training: 47%|████▋ | 32661/70000 [11:33:34<13:02:24, 1.26s/step] Training: 47%|████▋ | 32662/70000 [11:33:35<12:48:41, 1.24s/step] Training: 47%|████▋ | 32663/70000 [11:33:36<12:42:28, 1.23s/step] Training: 47%|████▋ | 32664/70000 [11:33:38<13:10:04, 1.27s/step] Training: 47%|████▋ | 32665/70000 [11:33:39<12:58:33, 1.25s/step] Training: 47%|████▋ | 32666/70000 [11:33:40<13:11:18, 1.27s/step] Training: 47%|████▋ | 32667/70000 [11:33:41<13:03:48, 1.26s/step] Training: 47%|████▋ | 32668/70000 [11:33:43<13:14:36, 1.28s/step] Training: 47%|████▋ | 32669/70000 [11:33:44<13:10:01, 1.27s/step] Training: 47%|████▋ | 32670/70000 [11:33:45<12:53:54, 1.24s/step] Training: 47%|████▋ | 32671/70000 [11:33:46<12:52:25, 1.24s/step] Training: 47%|████▋ | 32672/70000 [11:33:48<13:08:37, 1.27s/step] Training: 47%|████▋ | 32673/70000 [11:33:49<12:54:11, 1.24s/step] Training: 47%|████▋ | 32674/70000 [11:33:50<13:11:35, 1.27s/step] Training: 47%|████▋ | 32675/70000 [11:33:51<12:56:09, 1.25s/step] Training: 47%|████▋ | 32676/70000 [11:33:53<13:10:16, 1.27s/step] Training: 47%|████▋ | 32677/70000 [11:33:54<13:05:39, 1.26s/step] Training: 47%|████▋ | 32678/70000 [11:33:55<12:49:51, 1.24s/step] Training: 47%|████▋ | 32679/70000 [11:33:56<12:41:47, 1.22s/step] Training: 47%|████▋ | 32680/70000 [11:33:58<13:26:59, 1.30s/step] Training: 47%|████▋ | 32681/70000 [11:33:59<13:06:48, 1.27s/step] Training: 47%|████▋ | 32682/70000 [11:34:00<13:25:41, 1.30s/step] Training: 47%|████▋ | 32683/70000 [11:34:02<13:05:47, 1.26s/step] Training: 47%|████▋ | 32684/70000 [11:34:03<13:35:29, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=17278 Training: 47%|████▋ | 32685/70000 [11:34:04<13:12:30, 1.27s/step] Training: 47%|████▋ | 32686/70000 [11:34:05<13:26:14, 1.30s/step] Training: 47%|████▋ | 32687/70000 [11:34:07<13:31:41, 1.31s/step] Training: 47%|████▋ | 32688/70000 [11:34:08<13:35:57, 1.31s/step] Training: 47%|████▋ | 32689/70000 [11:34:09<13:12:39, 1.27s/step] Training: 47%|████▋ | 32690/70000 [11:34:11<13:10:50, 1.27s/step] Training: 47%|████▋ | 32691/70000 [11:34:12<12:55:50, 1.25s/step] Training: 47%|████▋ | 32692/70000 [11:34:13<13:29:28, 1.30s/step] Training: 47%|████▋ | 32693/70000 [11:34:14<13:08:40, 1.27s/step] Training: 47%|████▋ | 32694/70000 [11:34:16<13:11:57, 1.27s/step] Training: 47%|████▋ | 32695/70000 [11:34:17<12:58:50, 1.25s/step] Training: 47%|████▋ | 32696/70000 [11:34:18<13:18:41, 1.28s/step] Training: 47%|████▋ | 32697/70000 [11:34:19<13:01:55, 1.26s/step] Training: 47%|████▋ | 32698/70000 [11:34:21<13:14:20, 1.28s/step] Training: 47%|████▋ | 32699/70000 [11:34:22<12:57:48, 1.25s/step] Training: 47%|████▋ | 32700/70000 [11:34:23<12:50:49, 1.24s/step]INFO 2026-03-13 07:44:15 ot_train.py:435 step:33K smpl:2M ep:7K epch:27.72 loss:0.023 grdn:4.084 lr:1.4e-05 updt_s:1.250 data_s:0.019 Training: 47%|████▋ | 32701/70000 [11:34:24<12:41:53, 1.23s/step] Training: 47%|████▋ | 32702/70000 [11:34:26<13:07:17, 1.27s/step] Training: 47%|████▋ | 32703/70000 [11:34:27<12:58:12, 1.25s/step] Training: 47%|████▋ | 32704/70000 [11:34:28<13:14:01, 1.28s/step] Training: 47%|████▋ | 32705/70000 [11:34:29<12:58:59, 1.25s/step] Training: 47%|████▋ | 32706/70000 [11:34:31<13:15:29, 1.28s/step] Training: 47%|████▋ | 32707/70000 [11:34:32<12:57:55, 1.25s/step] Training: 47%|████▋ | 32708/70000 [11:34:33<12:53:32, 1.24s/step] Training: 47%|████▋ | 32709/70000 [11:34:34<12:43:44, 1.23s/step] Training: 47%|████▋ | 32710/70000 [11:34:36<13:07:46, 1.27s/step] Training: 47%|████▋ | 32711/70000 [11:34:37<12:51:22, 1.24s/step] Training: 47%|████▋ | 32712/70000 [11:34:38<13:31:14, 1.31s/step] Training: 47%|████▋ | 32713/70000 [11:34:40<13:09:20, 1.27s/step] Training: 47%|████▋ | 32714/70000 [11:34:41<13:28:14, 1.30s/step] Training: 47%|████▋ | 32715/70000 [11:34:42<13:07:20, 1.27s/step] Training: 47%|████▋ | 32716/70000 [11:34:43<13:00:22, 1.26s/step] Training: 47%|████▋ | 32717/70000 [11:34:45<13:11:38, 1.27s/step] Training: 47%|████▋ | 32718/70000 [11:34:46<12:57:04, 1.25s/step] Training: 47%|████▋ | 32719/70000 [11:34:47<13:36:17, 1.31s/step] Training: 47%|████▋ | 32720/70000 [11:34:49<13:16:35, 1.28s/step] Training: 47%|████▋ | 32721/70000 [11:34:50<13:24:32, 1.29s/step] Training: 47%|████▋ | 32722/70000 [11:34:51<13:12:44, 1.28s/step] Training: 47%|████▋ | 32723/70000 [11:34:52<12:56:14, 1.25s/step] Training: 47%|████▋ | 32724/70000 [11:34:54<13:11:34, 1.27s/step] Training: 47%|████▋ | 32725/70000 [11:34:55<12:54:51, 1.25s/step] Training: 47%|████▋ | 32726/70000 [11:34:56<12:43:51, 1.23s/step] Training: 47%|████▋ | 32727/70000 [11:34:57<13:07:38, 1.27s/step] Training: 47%|████▋ | 32728/70000 [11:34:59<13:18:52, 1.29s/step] Training: 47%|████▋ | 32729/70000 [11:35:00<13:25:15, 1.30s/step] Training: 47%|████▋ | 32730/70000 [11:35:01<13:31:50, 1.31s/step] Training: 47%|████▋ | 32731/70000 [11:35:03<13:10:21, 1.27s/step] Training: 47%|████▋ | 32732/70000 [11:35:04<13:22:22, 1.29s/step] Training: 47%|████▋ | 32733/70000 [11:35:05<13:04:27, 1.26s/step] Training: 47%|████▋ | 32734/70000 [11:35:06<12:51:10, 1.24s/step] Training: 47%|████▋ | 32735/70000 [11:35:08<13:14:32, 1.28s/step] Training: 47%|████▋ | 32736/70000 [11:35:09<13:21:02, 1.29s/step] Training: 47%|████▋ | 32737/70000 [11:35:10<13:02:48, 1.26s/step] Training: 47%|████▋ | 32738/70000 [11:35:11<13:16:36, 1.28s/step] Training: 47%|████▋ | 32739/70000 [11:35:13<12:58:57, 1.25s/step] Training: 47%|████▋ | 32740/70000 [11:35:14<13:15:39, 1.28s/step] Training: 47%|████▋ | 32741/70000 [11:35:15<13:00:11, 1.26s/step] Training: 47%|████▋ | 32742/70000 [11:35:16<12:47:01, 1.24s/step] Training: 47%|████▋ | 32743/70000 [11:35:18<12:56:40, 1.25s/step] Training: 47%|████▋ | 32744/70000 [11:35:19<12:52:53, 1.24s/step] Training: 47%|████▋ | 32745/70000 [11:35:20<13:02:09, 1.26s/step] Training: 47%|████▋ | 32746/70000 [11:35:22<13:24:01, 1.29s/step] Training: 47%|████▋ | 32747/70000 [11:35:23<13:05:26, 1.27s/step] Training: 47%|████▋ | 32748/70000 [11:35:24<12:57:03, 1.25s/step] Training: 47%|████▋ | 32749/70000 [11:35:25<13:09:29, 1.27s/step] Training: 47%|████▋ | 32750/70000 [11:35:27<12:56:25, 1.25s/step] Training: 47%|████▋ | 32751/70000 [11:35:28<12:44:47, 1.23s/step] Training: 47%|████▋ | 32752/70000 [11:35:29<13:08:53, 1.27s/step] Training: 47%|████▋ | 32753/70000 [11:35:30<13:21:29, 1.29s/step] Training: 47%|████▋ | 32754/70000 [11:35:32<13:10:13, 1.27s/step] Training: 47%|████▋ | 32755/70000 [11:35:33<12:56:20, 1.25s/step] Training: 47%|████▋ | 32756/70000 [11:35:34<13:12:38, 1.28s/step] Training: 47%|████▋ | 32757/70000 [11:35:35<12:56:13, 1.25s/step] Training: 47%|████▋ | 32758/70000 [11:35:37<12:44:25, 1.23s/step] Training: 47%|████▋ | 32759/70000 [11:35:38<12:44:56, 1.23s/step] Training: 47%|████▋ | 32760/70000 [11:35:39<13:16:16, 1.28s/step] Training: 47%|████▋ | 32761/70000 [11:35:40<13:01:33, 1.26s/step] Training: 47%|████▋ | 32762/70000 [11:35:42<13:14:12, 1.28s/step] Training: 47%|████▋ | 32763/70000 [11:35:43<12:57:16, 1.25s/step] Training: 47%|████▋ | 32764/70000 [11:35:44<13:13:16, 1.28s/step] Training: 47%|████▋ | 32765/70000 [11:35:45<12:57:06, 1.25s/step] Training: 47%|████▋ | 32766/70000 [11:35:47<12:45:24, 1.23s/step] Training: 47%|████▋ | 32767/70000 [11:35:48<12:41:22, 1.23s/step] Training: 47%|████▋ | 32768/70000 [11:35:49<13:02:38, 1.26s/step] Training: 47%|████▋ | 32769/70000 [11:35:51<13:39:38, 1.32s/step] Training: 47%|████▋ | 32770/70000 [11:35:52<13:43:07, 1.33s/step] Training: 47%|████▋ | 32771/70000 [11:35:53<13:17:31, 1.29s/step] Training: 47%|████▋ | 32772/70000 [11:35:54<13:26:33, 1.30s/step] Training: 47%|████▋ | 32773/70000 [11:35:56<13:06:03, 1.27s/step] Training: 47%|████▋ | 32774/70000 [11:35:57<12:51:30, 1.24s/step] Training: 47%|████▋ | 32775/70000 [11:35:58<13:11:33, 1.28s/step] Training: 47%|████▋ | 32776/70000 [11:36:00<13:32:57, 1.31s/step] Training: 47%|████▋ | 32777/70000 [11:36:01<13:35:35, 1.31s/step] Training: 47%|████▋ | 32778/70000 [11:36:02<13:47:28, 1.33s/step] Training: 47%|████▋ | 32779/70000 [11:36:04<13:20:37, 1.29s/step] Training: 47%|████▋ | 32780/70000 [11:36:05<13:09:20, 1.27s/step] Training: 47%|████▋ | 32781/70000 [11:36:06<13:17:28, 1.29s/step] Training: 47%|████▋ | 32782/70000 [11:36:07<13:00:34, 1.26s/step] Training: 47%|████▋ | 32783/70000 [11:36:09<13:13:43, 1.28s/step] Training: 47%|████▋ | 32784/70000 [11:36:10<13:02:09, 1.26s/step] Training: 47%|████▋ | 32785/70000 [11:36:11<13:36:12, 1.32s/step] Training: 47%|████▋ | 32786/70000 [11:36:12<13:16:23, 1.28s/step] Training: 47%|████▋ | 32787/70000 [11:36:14<13:23:40, 1.30s/step] Training: 47%|████▋ | 32788/70000 [11:36:15<13:09:34, 1.27s/step] Training: 47%|████▋ | 32789/70000 [11:36:16<12:54:50, 1.25s/step] Training: 47%|████▋ | 32790/70000 [11:36:17<12:43:49, 1.23s/step] Training: 47%|████▋ | 32791/70000 [11:36:19<12:42:39, 1.23s/step] Training: 47%|████▋ | 32792/70000 [11:36:20<13:01:47, 1.26s/step] Training: 47%|████▋ | 32793/70000 [11:36:21<13:21:15, 1.29s/step] Training: 47%|████▋ | 32794/70000 [11:36:23<13:26:33, 1.30s/step] Training: 47%|████▋ | 32795/70000 [11:36:24<13:31:14, 1.31s/step] Training: 47%|████▋ | 32796/70000 [11:36:25<13:46:24, 1.33s/step] Training: 47%|████▋ | 32797/70000 [11:36:27<13:20:04, 1.29s/step] Training: 47%|████▋ | 32798/70000 [11:36:28<13:01:36, 1.26s/step] Training: 47%|████▋ | 32799/70000 [11:36:29<12:51:02, 1.24s/step] Training: 47%|████▋ | 32800/70000 [11:36:30<13:08:06, 1.27s/step]INFO 2026-03-13 07:46:22 ot_train.py:435 step:33K smpl:2M ep:7K epch:27.80 loss:0.022 grdn:4.366 lr:1.4e-05 updt_s:1.250 data_s:0.019 Training: 47%|████▋ | 32801/70000 [11:36:32<13:20:47, 1.29s/step] Training: 47%|████▋ | 32802/70000 [11:36:33<13:27:40, 1.30s/step] Training: 47%|████▋ | 32803/70000 [11:36:34<13:06:42, 1.27s/step] Training: 47%|████▋ | 32804/70000 [11:36:35<13:16:09, 1.28s/step] Training: 47%|████▋ | 32805/70000 [11:36:37<12:58:23, 1.26s/step] Training: 47%|████▋ | 32806/70000 [11:36:38<12:46:05, 1.24s/step] Training: 47%|████▋ | 32807/70000 [11:36:39<12:36:51, 1.22s/step] Training: 47%|████▋ | 32808/70000 [11:36:40<12:58:00, 1.26s/step] Training: 47%|████▋ | 32809/70000 [11:36:42<13:22:24, 1.29s/step] Training: 47%|████▋ | 32810/70000 [11:36:43<13:43:27, 1.33s/step] Training: 47%|████▋ | 32811/70000 [11:36:44<13:17:59, 1.29s/step] Training: 47%|████▋ | 32812/70000 [11:36:46<13:34:53, 1.31s/step] Training: 47%|████▋ | 32813/70000 [11:36:47<13:11:23, 1.28s/step] Training: 47%|████▋ | 32814/70000 [11:36:48<12:55:45, 1.25s/step] Training: 47%|████▋ | 32815/70000 [11:36:49<12:45:18, 1.23s/step] Training: 47%|████▋ | 32816/70000 [11:36:51<12:50:08, 1.24s/step] Training: 47%|████▋ | 32817/70000 [11:36:52<13:05:58, 1.27s/step] Training: 47%|████▋ | 32818/70000 [11:36:53<13:16:30, 1.29s/step] Training: 47%|████▋ | 32819/70000 [11:36:54<12:58:56, 1.26s/step] Training: 47%|████▋ | 32820/70000 [11:36:56<13:11:49, 1.28s/step] Training: 47%|████▋ | 32821/70000 [11:36:57<12:55:11, 1.25s/step] Training: 47%|████▋ | 32822/70000 [11:36:58<12:43:33, 1.23s/step] Training: 47%|████▋ | 32823/70000 [11:36:59<12:35:51, 1.22s/step] Training: 47%|████▋ | 32824/70000 [11:37:01<12:56:07, 1.25s/step] Training: 47%|████▋ | 32825/70000 [11:37:02<12:49:07, 1.24s/step] Training: 47%|████▋ | 32826/70000 [11:37:03<13:31:43, 1.31s/step] Training: 47%|████▋ | 32827/70000 [11:37:04<13:09:52, 1.27s/step] Training: 47%|████▋ | 32828/70000 [11:37:06<13:28:20, 1.30s/step] Training: 47%|████▋ | 32829/70000 [11:37:07<13:06:56, 1.27s/step] Training: 47%|████▋ | 32830/70000 [11:37:08<12:51:40, 1.25s/step] Training: 47%|████▋ | 32831/70000 [11:37:09<12:41:07, 1.23s/step] Training: 47%|████▋ | 32832/70000 [11:37:11<13:04:32, 1.27s/step] Training: 47%|████▋ | 32833/70000 [11:37:12<13:16:19, 1.29s/step] Training: 47%|████▋ | 32834/70000 [11:37:14<13:41:25, 1.33s/step] Training: 47%|████▋ | 32835/70000 [11:37:15<13:16:38, 1.29s/step] Training: 47%|████▋ | 32836/70000 [11:37:16<13:23:37, 1.30s/step] Training: 47%|████▋ | 32837/70000 [11:37:17<13:03:35, 1.27s/step] Training: 47%|████▋ | 32838/70000 [11:37:18<12:49:42, 1.24s/step] Training: 47%|████▋ | 32839/70000 [11:37:20<12:39:54, 1.23s/step] Training: 47%|████▋ | 32840/70000 [11:37:21<13:12:55, 1.28s/step] Training: 47%|████▋ | 32841/70000 [11:37:22<13:21:44, 1.29s/step] Training: 47%|████▋ | 32842/70000 [11:37:24<13:42:10, 1.33s/step] Training: 47%|████▋ | 32843/70000 [11:37:25<13:14:20, 1.28s/step] Training: 47%|████▋ | 32844/70000 [11:37:26<13:31:25, 1.31s/step] Training: 47%|████▋ | 32845/70000 [11:37:27<13:08:47, 1.27s/step] Training: 47%|████▋ | 32846/70000 [11:37:29<12:53:35, 1.25s/step] Training: 47%|████▋ | 32847/70000 [11:37:30<12:42:43, 1.23s/step] Training: 47%|████▋ | 32848/70000 [11:37:31<13:00:26, 1.26s/step] Training: 47%|████▋ | 32849/70000 [11:37:33<13:12:17, 1.28s/step] Training: 47%|████▋ | 32850/70000 [11:37:34<13:24:27, 1.30s/step] Training: 47%|████▋ | 32851/70000 [11:37:35<13:01:59, 1.26s/step] Training: 47%|████▋ | 32852/70000 [11:37:36<13:16:14, 1.29s/step] Training: 47%|████▋ | 32853/70000 [11:37:38<12:58:21, 1.26s/step] Training: 47%|████▋ | 32854/70000 [11:37:39<12:45:35, 1.24s/step] Training: 47%|████▋ | 32855/70000 [11:37:40<12:36:37, 1.22s/step] Training: 47%|████▋ | 32856/70000 [11:37:41<12:58:19, 1.26s/step] Training: 47%|████▋ | 32857/70000 [11:37:43<12:49:19, 1.24s/step] Training: 47%|████▋ | 32858/70000 [11:37:44<13:04:37, 1.27s/step] Training: 47%|████▋ | 32859/70000 [11:37:45<13:17:12, 1.29s/step] Training: 47%|████▋ | 32860/70000 [11:37:47<13:33:37, 1.31s/step] Training: 47%|████▋ | 32861/70000 [11:37:48<13:10:30, 1.28s/step] Training: 47%|████▋ | 32862/70000 [11:37:49<12:53:03, 1.25s/step] Training: 47%|████▋ | 32863/70000 [11:37:50<12:41:43, 1.23s/step] Training: 47%|████▋ | 32864/70000 [11:37:51<12:59:19, 1.26s/step] Training: 47%|████▋ | 32865/70000 [11:37:53<13:11:53, 1.28s/step] Training: 47%|████▋ | 32866/70000 [11:37:54<13:21:11, 1.29s/step] Training: 47%|████▋ | 32867/70000 [11:37:55<13:29:17, 1.31s/step] Training: 47%|████▋ | 32868/70000 [11:37:57<13:30:46, 1.31s/step] Training: 47%|████▋ | 32869/70000 [11:37:58<13:08:15, 1.27s/step] Training: 47%|████▋ | 32870/70000 [11:37:59<12:52:54, 1.25s/step] Training: 47%|████▋ | 32871/70000 [11:38:00<12:41:28, 1.23s/step] Training: 47%|████▋ | 32872/70000 [11:38:02<13:05:04, 1.27s/step] Training: 47%|████▋ | 32873/70000 [11:38:03<13:15:47, 1.29s/step] Training: 47%|████▋ | 32874/70000 [11:38:04<13:29:51, 1.31s/step] Training: 47%|████▋ | 32875/70000 [11:38:06<13:13:07, 1.28s/step] Training: 47%|████▋ | 32876/70000 [11:38:07<13:30:10, 1.31s/step] Training: 47%|████▋ | 32877/70000 [11:38:08<13:08:19, 1.27s/step] Training: 47%|████▋ | 32878/70000 [11:38:09<12:51:48, 1.25s/step] Training: 47%|████▋ | 32879/70000 [11:38:11<12:40:54, 1.23s/step] Training: 47%|████▋ | 32880/70000 [11:38:12<12:47:44, 1.24s/step] Training: 47%|████▋ | 32881/70000 [11:38:13<13:03:46, 1.27s/step] Training: 47%|████▋ | 32882/70000 [11:38:14<13:16:06, 1.29s/step] Training: 47%|████▋ | 32883/70000 [11:38:16<13:29:54, 1.31s/step] Training: 47%|████▋ | 32884/70000 [11:38:17<13:32:25, 1.31s/step] Training: 47%|████▋ | 32885/70000 [11:38:18<13:09:04, 1.28s/step] Training: 47%|████▋ | 32886/70000 [11:38:20<12:54:10, 1.25s/step] Training: 47%|████▋ | 32887/70000 [11:38:21<12:42:17, 1.23s/step] Training: 47%|████▋ | 32888/70000 [11:38:22<12:37:37, 1.22s/step] Training: 47%|████▋ | 32889/70000 [11:38:23<12:57:36, 1.26s/step] Training: 47%|████▋ | 32890/70000 [11:38:25<13:11:20, 1.28s/step] Training: 47%|████▋ | 32891/70000 [11:38:26<13:02:45, 1.27s/step] Training: 47%|████▋ | 32892/70000 [11:38:27<13:20:05, 1.29s/step] Training: 47%|████▋ | 32893/70000 [11:38:28<13:00:26, 1.26s/step] Training: 47%|████▋ | 32894/70000 [11:38:30<12:47:03, 1.24s/step] Training: 47%|████▋ | 32895/70000 [11:38:31<12:38:12, 1.23s/step] Training: 47%|████▋ | 32896/70000 [11:38:32<12:59:30, 1.26s/step] Training: 47%|████▋ | 32897/70000 [11:38:33<13:12:26, 1.28s/step] Training: 47%|████▋ | 32898/70000 [11:38:35<13:20:25, 1.29s/step] Training: 47%|████▋ | 32899/70000 [11:38:36<13:01:01, 1.26s/step] Training: 47%|████▋ | 32900/70000 [11:38:37<13:28:15, 1.31s/step]INFO 2026-03-13 07:48:29 ot_train.py:435 step:33K smpl:2M ep:7K epch:27.89 loss:0.023 grdn:3.725 lr:1.4e-05 updt_s:1.249 data_s:0.019 Training: 47%|████▋ | 32901/70000 [11:38:39<13:06:19, 1.27s/step] Training: 47%|████▋ | 32902/70000 [11:38:40<12:50:47, 1.25s/step] Training: 47%|████▋ | 32903/70000 [11:38:41<12:40:39, 1.23s/step] Training: 47%|████▋ | 32904/70000 [11:38:42<13:06:49, 1.27s/step] Training: 47%|████▋ | 32905/70000 [11:38:44<13:15:53, 1.29s/step] Training: 47%|████▋ | 32906/70000 [11:38:45<13:33:04, 1.32s/step] Training: 47%|████▋ | 32907/70000 [11:38:46<13:09:27, 1.28s/step] Training: 47%|████▋ | 32908/70000 [11:38:47<13:16:42, 1.29s/step] Training: 47%|████▋ | 32909/70000 [11:38:49<13:19:02, 1.29s/step] Training: 47%|████▋ | 32910/70000 [11:38:50<13:00:33, 1.26s/step] Training: 47%|████▋ | 32911/70000 [11:38:51<12:46:45, 1.24s/step] Training: 47%|████▋ | 32912/70000 [11:38:52<12:52:53, 1.25s/step] Training: 47%|████▋ | 32913/70000 [11:38:54<13:08:09, 1.28s/step] Training: 47%|████▋ | 32914/70000 [11:38:55<13:18:33, 1.29s/step] Training: 47%|████▋ | 32915/70000 [11:38:56<13:02:49, 1.27s/step] Training: 47%|████▋ | 32916/70000 [11:38:58<13:25:40, 1.30s/step] Training: 47%|████▋ | 32917/70000 [11:38:59<13:04:17, 1.27s/step] Training: 47%|████▋ | 32918/70000 [11:39:00<12:48:35, 1.24s/step] Training: 47%|████▋ | 32919/70000 [11:39:01<12:39:47, 1.23s/step] Training: 47%|████▋ | 32920/70000 [11:39:02<12:34:07, 1.22s/step] Training: 47%|████▋ | 32921/70000 [11:39:04<12:54:40, 1.25s/step] Training: 47%|████▋ | 32922/70000 [11:39:05<13:08:57, 1.28s/step] Training: 47%|████▋ | 32923/70000 [11:39:06<12:53:48, 1.25s/step] Training: 47%|████▋ | 32924/70000 [11:39:08<13:10:01, 1.28s/step] Training: 47%|████▋ | 32925/70000 [11:39:09<13:23:32, 1.30s/step] Training: 47%|████▋ | 32926/70000 [11:39:10<13:01:07, 1.26s/step] Training: 47%|████▋ | 32927/70000 [11:39:11<12:47:58, 1.24s/step] Training: 47%|████▋ | 32928/70000 [11:39:13<13:04:25, 1.27s/step] Training: 47%|████▋ | 32929/70000 [11:39:14<13:16:08, 1.29s/step] Training: 47%|████▋ | 32930/70000 [11:39:15<13:25:40, 1.30s/step] Training: 47%|████▋ | 32931/70000 [11:39:17<13:03:54, 1.27s/step] Training: 47%|████▋ | 32932/70000 [11:39:18<13:15:53, 1.29s/step] Training: 47%|████▋ | 32933/70000 [11:39:19<13:27:35, 1.31s/step] Training: 47%|████▋ | 32934/70000 [11:39:20<13:04:10, 1.27s/step] Training: 47%|████▋ | 32935/70000 [11:39:22<12:49:22, 1.25s/step] Training: 47%|████▋ | 32936/70000 [11:39:23<13:13:03, 1.28s/step] Training: 47%|████▋ | 32937/70000 [11:39:24<13:22:31, 1.30s/step] Training: 47%|████▋ | 32938/70000 [11:39:26<13:38:03, 1.32s/step] Training: 47%|████▋ | 32939/70000 [11:39:27<13:12:42, 1.28s/step] Training: 47%|████▋ | 32940/70000 [11:39:28<13:03:48, 1.27s/step] Training: 47%|████▋ | 32941/70000 [11:39:29<13:13:17, 1.28s/step] Training: 47%|████▋ | 32942/70000 [11:39:31<12:56:17, 1.26s/step] Training: 47%|████▋ | 32943/70000 [11:39:32<12:43:39, 1.24s/step] Training: 47%|████▋ | 32944/70000 [11:39:33<12:48:09, 1.24s/step] Training: 47%|████▋ | 32945/70000 [11:39:34<13:06:59, 1.27s/step] Training: 47%|████▋ | 32946/70000 [11:39:36<13:16:27, 1.29s/step] Training: 47%|████▋ | 32947/70000 [11:39:37<12:57:42, 1.26s/step] Training: 47%|████▋ | 32948/70000 [11:39:38<12:47:25, 1.24s/step] Training: 47%|████▋ | 32949/70000 [11:39:39<12:46:56, 1.24s/step] Training: 47%|████▋ | 32950/70000 [11:39:41<12:38:18, 1.23s/step] Training: 47%|████▋ | 32951/70000 [11:39:42<12:31:33, 1.22s/step] Training: 47%|████▋ | 32952/70000 [11:39:43<12:51:46, 1.25s/step] Training: 47%|████▋ | 32953/70000 [11:39:44<12:46:15, 1.24s/step] Training: 47%|████▋ | 32954/70000 [11:39:46<13:01:51, 1.27s/step] Training: 47%|████▋ | 32955/70000 [11:39:47<13:11:56, 1.28s/step] Training: 47%|████▋ | 32956/70000 [11:39:48<13:26:28, 1.31s/step] Training: 47%|████▋ | 32957/70000 [11:39:50<13:19:27, 1.29s/step] Training: 47%|████▋ | 32958/70000 [11:39:51<12:58:38, 1.26s/step] Training: 47%|████▋ | 32959/70000 [11:39:52<12:45:48, 1.24s/step] Training: 47%|████▋ | 32960/70000 [11:39:53<13:03:27, 1.27s/step] Training: 47%|████▋ | 32961/70000 [11:39:55<13:13:25, 1.29s/step] Training: 47%|████▋ | 32962/70000 [11:39:56<13:12:31, 1.28s/step] Training: 47%|████▋ | 32963/70000 [11:39:57<13:05:14, 1.27s/step] Training: 47%|████▋ | 32964/70000 [11:39:59<13:15:49, 1.29s/step] Training: 47%|████▋ | 32965/70000 [11:40:00<12:57:07, 1.26s/step] Training: 47%|████▋ | 32966/70000 [11:40:01<13:13:19, 1.29s/step] Training: 47%|████▋ | 32967/70000 [11:40:02<12:54:30, 1.25s/step] Training: 47%|████▋ | 32968/70000 [11:40:04<13:18:57, 1.29s/step] Training: 47%|████▋ | 32969/70000 [11:40:05<13:24:48, 1.30s/step] Training: 47%|████▋ | 32970/70000 [11:40:06<13:03:28, 1.27s/step] Training: 47%|████▋ | 32971/70000 [11:40:07<12:53:26, 1.25s/step] Training: 47%|████▋ | 32972/70000 [11:40:09<13:16:11, 1.29s/step] Training: 47%|████▋ | 32973/70000 [11:40:10<13:00:08, 1.26s/step] Training: 47%|████▋ | 32974/70000 [11:40:11<13:02:40, 1.27s/step] Training: 47%|████▋ | 32975/70000 [11:40:12<12:51:48, 1.25s/step] Training: 47%|████▋ | 32976/70000 [11:40:14<12:51:02, 1.25s/step] Training: 47%|████▋ | 32977/70000 [11:40:15<13:05:56, 1.27s/step] Training: 47%|████▋ | 32978/70000 [11:40:16<12:50:16, 1.25s/step] Training: 47%|████▋ | 32979/70000 [11:40:18<13:04:48, 1.27s/step] Training: 47%|████▋ | 32980/70000 [11:40:19<13:15:44, 1.29s/step] Training: 47%|████▋ | 32981/70000 [11:40:20<12:56:50, 1.26s/step] Training: 47%|████▋ | 32982/70000 [11:40:21<12:45:50, 1.24s/step] Training: 47%|████▋ | 32983/70000 [11:40:23<13:05:46, 1.27s/step] Training: 47%|████▋ | 32984/70000 [11:40:24<13:14:47, 1.29s/step] Training: 47%|████▋ | 32985/70000 [11:40:25<12:59:25, 1.26s/step] Training: 47%|████▋ | 32986/70000 [11:40:26<12:51:40, 1.25s/step] Training: 47%|████▋ | 32987/70000 [11:40:28<13:04:06, 1.27s/step] Training: 47%|████▋ | 32988/70000 [11:40:29<13:25:41, 1.31s/step] Training: 47%|████▋ | 32989/70000 [11:40:30<13:04:34, 1.27s/step] Training: 47%|████▋ | 32990/70000 [11:40:32<13:20:11, 1.30s/step] Training: 47%|████▋ | 32991/70000 [11:40:33<12:58:00, 1.26s/step] Training: 47%|████▋ | 32992/70000 [11:40:34<13:09:39, 1.28s/step] Training: 47%|████▋ | 32993/70000 [11:40:35<13:19:13, 1.30s/step] Training: 47%|████▋ | 32994/70000 [11:40:37<12:59:51, 1.26s/step] Training: 47%|████▋ | 32995/70000 [11:40:38<13:33:48, 1.32s/step] Training: 47%|████▋ | 32996/70000 [11:40:39<13:34:17, 1.32s/step] Training: 47%|████▋ | 32997/70000 [11:40:41<13:10:11, 1.28s/step] Training: 47%|████▋ | 32998/70000 [11:40:42<12:53:32, 1.25s/step] Training: 47%|████▋ | 32999/70000 [11:40:43<13:08:37, 1.28s/step] Training: 47%|████▋ | 33000/70000 [11:40:44<13:24:32, 1.30s/step]INFO 2026-03-13 07:50:37 ot_train.py:435 step:33K smpl:2M ep:7K epch:27.97 loss:0.021 grdn:3.217 lr:1.4e-05 updt_s:1.250 data_s:0.019 Training: 47%|████▋ | 33001/70000 [11:40:46<13:28:54, 1.31s/step] Training: 47%|████▋ | 33002/70000 [11:40:47<13:06:07, 1.27s/step] Training: 47%|████▋ | 33003/70000 [11:40:48<13:12:52, 1.29s/step] Training: 47%|████▋ | 33004/70000 [11:40:50<13:29:24, 1.31s/step] Training: 47%|████▋ | 33005/70000 [11:40:51<13:06:04, 1.27s/step] Training: 47%|████▋ | 33006/70000 [11:40:52<12:50:06, 1.25s/step] Training: 47%|████▋ | 33007/70000 [11:40:53<13:09:20, 1.28s/step] Training: 47%|████▋ | 33008/70000 [11:40:55<13:15:48, 1.29s/step] Training: 47%|████▋ | 33009/70000 [11:40:56<13:04:48, 1.27s/step] Training: 47%|████▋ | 33010/70000 [11:40:57<13:14:28, 1.29s/step] Training: 47%|████▋ | 33011/70000 [11:40:59<13:21:15, 1.30s/step] Training: 47%|████▋ | 33012/70000 [11:41:00<13:26:24, 1.31s/step] Training: 47%|████▋ | 33013/70000 [11:41:01<13:04:49, 1.27s/step] Training: 47%|████▋ | 33014/70000 [11:41:02<12:49:50, 1.25s/step] Training: 47%|████▋ | 33015/70000 [11:41:03<12:39:12, 1.23s/step] Training: 47%|████▋ | 33016/70000 [11:41:05<12:57:30, 1.26s/step] Training: 47%|████▋ | 33017/70000 [11:41:06<12:49:48, 1.25s/step] Training: 47%|████▋ | 33018/70000 [11:41:07<12:41:27, 1.24s/step] Training: 47%|████▋ | 33019/70000 [11:41:09<12:57:04, 1.26s/step] Training: 47%|████▋ | 33020/70000 [11:41:10<13:21:07, 1.30s/step] Training: 47%|████▋ | 33021/70000 [11:41:11<13:00:12, 1.27s/step] Training: 47%|████▋ | 33022/70000 [11:41:12<12:45:50, 1.24s/step] Training: 47%|████▋ | 33023/70000 [11:41:14<12:44:53, 1.24s/step] Training: 47%|████▋ | 33024/70000 [11:41:15<13:00:54, 1.27s/step] Training: 47%|████▋ | 33025/70000 [11:41:16<13:14:05, 1.29s/step] Training: 47%|████▋ | 33026/70000 [11:41:17<13:02:27, 1.27s/step] Training: 47%|████▋ | 33027/70000 [11:41:19<13:15:39, 1.29s/step] Training: 47%|████▋ | 33028/70000 [11:41:20<13:20:13, 1.30s/step] Training: 47%|████▋ | 33029/70000 [11:41:21<13:00:26, 1.27s/step] Training: 47%|████▋ | 33030/70000 [11:41:22<12:46:18, 1.24s/step] Training: 47%|████▋ | 33031/70000 [11:41:24<12:46:09, 1.24s/step] Training: 47%|████▋ | 33032/70000 [11:41:25<13:08:04, 1.28s/step] Training: 47%|████▋ | 33033/70000 [11:41:26<13:17:17, 1.29s/step] Training: 47%|████▋ | 33034/70000 [11:41:28<12:57:43, 1.26s/step] Training: 47%|████▋ | 33035/70000 [11:41:29<13:07:40, 1.28s/step] Training: 47%|████▋ | 33036/70000 [11:41:30<13:27:49, 1.31s/step] Training: 47%|████▋ | 33037/70000 [11:41:32<13:04:27, 1.27s/step] Training: 47%|████▋ | 33038/70000 [11:41:33<12:48:09, 1.25s/step] Training: 47%|████▋ | 33039/70000 [11:41:34<12:37:03, 1.23s/step] Training: 47%|████▋ | 33040/70000 [11:41:36<16:28:04, 1.60s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 47%|████▋ | 33041/70000 [11:41:40<23:19:19, 2.27s/step] Training: 47%|████▋ | 33042/70000 [11:41:42<20:34:13, 2.00s/step] Training: 47%|████▋ | 33043/70000 [11:41:43<18:39:09, 1.82s/step] Training: 47%|████▋ | 33044/70000 [11:41:44<17:22:05, 1.69s/step] Training: 47%|████▋ | 33045/70000 [11:41:46<15:49:15, 1.54s/step] Training: 47%|████▋ | 33046/70000 [11:41:47<14:43:39, 1.43s/step] Training: 47%|████▋ | 33047/70000 [11:41:48<13:57:55, 1.36s/step] Training: 47%|████▋ | 33048/70000 [11:41:49<14:24:54, 1.40s/step] Training: 47%|████▋ | 33049/70000 [11:41:51<14:25:33, 1.41s/step] Training: 47%|████▋ | 33050/70000 [11:41:52<13:47:31, 1.34s/step] Training: 47%|████▋ | 33051/70000 [11:41:53<13:45:04, 1.34s/step] Training: 47%|████▋ | 33052/70000 [11:41:55<13:55:08, 1.36s/step] Training: 47%|████▋ | 33053/70000 [11:41:56<13:24:06, 1.31s/step] Training: 47%|████▋ | 33054/70000 [11:41:57<13:02:38, 1.27s/step] Training: 47%|████▋ | 33055/70000 [11:41:58<12:49:03, 1.25s/step] Training: 47%|████▋ | 33056/70000 [11:42:00<13:11:34, 1.29s/step] Training: 47%|████▋ | 33057/70000 [11:42:01<13:17:04, 1.29s/step] Training: 47%|████▋ | 33058/70000 [11:42:02<13:04:55, 1.27s/step] Training: 47%|████▋ | 33059/70000 [11:42:03<12:56:22, 1.26s/step] Training: 47%|████▋ | 33060/70000 [11:42:05<13:10:54, 1.28s/step] Training: 47%|████▋ | 33061/70000 [11:42:06<12:55:01, 1.26s/step] Training: 47%|████▋ | 33062/70000 [11:42:07<12:41:22, 1.24s/step] Training: 47%|████▋ | 33063/70000 [11:42:08<12:32:44, 1.22s/step] Training: 47%|████▋ | 33064/70000 [11:42:10<12:58:41, 1.26s/step] Training: 47%|████▋ | 33065/70000 [11:42:11<13:32:28, 1.32s/step] Training: 47%|████▋ | 33066/70000 [11:42:12<13:08:16, 1.28s/step] Training: 47%|████▋ | 33067/70000 [11:42:14<13:15:13, 1.29s/step] Training: 47%|████▋ | 33068/70000 [11:42:15<13:01:57, 1.27s/step] Training: 47%|████▋ | 33069/70000 [11:42:16<13:11:55, 1.29s/step] Training: 47%|████▋ | 33070/70000 [11:42:17<12:55:09, 1.26s/step] Training: 47%|████▋ | 33071/70000 [11:42:19<12:42:30, 1.24s/step] Training: 47%|████▋ | 33072/70000 [11:42:20<12:57:51, 1.26s/step] Training: 47%|████▋ | 33073/70000 [11:42:21<13:13:32, 1.29s/step] Training: 47%|████▋ | 33074/70000 [11:42:23<13:23:14, 1.31s/step] Training: 47%|████▋ | 33075/70000 [11:42:24<13:28:27, 1.31s/step] Training: 47%|████▋ | 33076/70000 [11:42:25<13:32:48, 1.32s/step] Training: 47%|████▋ | 33077/70000 [11:42:27<13:08:33, 1.28s/step] Training: 47%|████▋ | 33078/70000 [11:42:28<12:52:28, 1.26s/step] Training: 47%|████▋ | 33079/70000 [11:42:29<12:40:33, 1.24s/step] Training: 47%|████▋ | 33080/70000 [11:42:30<12:33:59, 1.23s/step] Training: 47%|████▋ | 33081/70000 [11:42:31<12:56:51, 1.26s/step] Training: 47%|████▋ | 33082/70000 [11:42:33<12:45:51, 1.24s/step] Training: 47%|████▋ | 33083/70000 [11:42:34<13:00:57, 1.27s/step] Training: 47%|████▋ | 33084/70000 [11:42:35<13:13:42, 1.29s/step] Training: 47%|████▋ | 33085/70000 [11:42:36<12:55:00, 1.26s/step] Training: 47%|████▋ | 33086/70000 [11:42:38<12:41:45, 1.24s/step] Training: 47%|████▋ | 33087/70000 [11:42:39<12:32:49, 1.22s/step] Training: 47%|████▋ | 33088/70000 [11:42:40<12:52:17, 1.26s/step] Training: 47%|████▋ | 33089/70000 [11:42:42<13:08:34, 1.28s/step] Training: 47%|████▋ | 33090/70000 [11:42:43<12:58:00, 1.26s/step] Training: 47%|████▋ | 33091/70000 [11:42:44<12:50:56, 1.25s/step] Training: 47%|████▋ | 33092/70000 [11:42:45<13:04:45, 1.28s/step] Training: 47%|████▋ | 33093/70000 [11:42:47<12:48:40, 1.25s/step] Training: 47%|████▋ | 33094/70000 [11:42:48<12:37:20, 1.23s/step] Training: 47%|████▋ | 33095/70000 [11:42:49<12:29:19, 1.22s/step] Training: 47%|████▋ | 33096/70000 [11:42:50<12:58:39, 1.27s/step] Training: 47%|████▋ | 33097/70000 [11:42:52<13:15:05, 1.29s/step] Training: 47%|████▋ | 33098/70000 [11:42:53<13:18:15, 1.30s/step] Training: 47%|████▋ | 33099/70000 [11:42:54<13:20:36, 1.30s/step] Training: 47%|████▋ | 33100/70000 [11:42:55<13:05:42, 1.28s/step]INFO 2026-03-13 07:52:48 ot_train.py:435 step:33K smpl:2M ep:7K epch:28.06 loss:0.021 grdn:2.654 lr:1.4e-05 updt_s:1.253 data_s:0.055 Training: 47%|████▋ | 33101/70000 [11:42:57<13:12:06, 1.29s/step] Training: 47%|████▋ | 33102/70000 [11:42:58<12:55:04, 1.26s/step] Training: 47%|████▋ | 33103/70000 [11:42:59<12:41:43, 1.24s/step] Training: 47%|████▋ | 33104/70000 [11:43:00<12:57:39, 1.26s/step] Training: 47%|████▋ | 33105/70000 [11:43:02<12:52:49, 1.26s/step] Training: 47%|████▋ | 33106/70000 [11:43:03<12:59:48, 1.27s/step] Training: 47%|████▋ | 33107/70000 [11:43:04<13:11:37, 1.29s/step] Training: 47%|████▋ | 33108/70000 [11:43:06<13:17:46, 1.30s/step] Training: 47%|████▋ | 33109/70000 [11:43:07<12:57:37, 1.26s/step] Training: 47%|████▋ | 33110/70000 [11:43:08<12:43:06, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=18100 Training: 47%|████▋ | 33111/70000 [11:43:09<12:33:06, 1.22s/step] Training: 47%|████▋ | 33112/70000 [11:43:11<12:50:57, 1.25s/step] Training: 47%|████▋ | 33113/70000 [11:43:12<12:39:41, 1.24s/step] Training: 47%|████▋ | 33114/70000 [11:43:13<12:58:55, 1.27s/step] Training: 47%|████▋ | 33115/70000 [11:43:14<13:09:54, 1.28s/step] Training: 47%|████▋ | 33116/70000 [11:43:16<13:22:46, 1.31s/step] Training: 47%|████▋ | 33117/70000 [11:43:17<13:00:46, 1.27s/step] Training: 47%|████▋ | 33118/70000 [11:43:18<12:45:59, 1.25s/step] Training: 47%|████▋ | 33119/70000 [11:43:19<12:35:42, 1.23s/step] Training: 47%|████▋ | 33120/70000 [11:43:21<12:53:42, 1.26s/step] Training: 47%|████▋ | 33121/70000 [11:43:22<12:41:44, 1.24s/step] Training: 47%|████▋ | 33122/70000 [11:43:23<12:54:20, 1.26s/step] Training: 47%|████▋ | 33123/70000 [11:43:24<12:47:39, 1.25s/step] Training: 47%|████▋ | 33124/70000 [11:43:26<13:00:39, 1.27s/step] Training: 47%|████▋ | 33125/70000 [11:43:27<12:45:53, 1.25s/step] Training: 47%|████▋ | 33126/70000 [11:43:28<12:35:51, 1.23s/step] Training: 47%|████▋ | 33127/70000 [11:43:29<12:29:16, 1.22s/step] Training: 47%|████▋ | 33128/70000 [11:43:31<12:57:05, 1.26s/step] Training: 47%|████▋ | 33129/70000 [11:43:32<12:43:28, 1.24s/step] Training: 47%|████▋ | 33130/70000 [11:43:33<13:05:26, 1.28s/step] Training: 47%|████▋ | 33131/70000 [11:43:34<12:50:13, 1.25s/step] Training: 47%|████▋ | 33132/70000 [11:43:36<12:45:35, 1.25s/step] Training: 47%|████▋ | 33133/70000 [11:43:37<12:58:30, 1.27s/step] Training: 47%|████▋ | 33134/70000 [11:43:38<12:45:23, 1.25s/step] Training: 47%|████▋ | 33135/70000 [11:43:39<12:35:05, 1.23s/step] Training: 47%|████▋ | 33136/70000 [11:43:41<12:55:19, 1.26s/step] Training: 47%|████▋ | 33137/70000 [11:43:42<12:42:21, 1.24s/step] Training: 47%|████▋ | 33138/70000 [11:43:43<12:58:05, 1.27s/step] Training: 47%|████▋ | 33139/70000 [11:43:45<13:31:12, 1.32s/step] Training: 47%|████▋ | 33140/70000 [11:43:46<13:32:32, 1.32s/step] Training: 47%|████▋ | 33141/70000 [11:43:47<13:07:53, 1.28s/step] Training: 47%|████▋ | 33142/70000 [11:43:48<12:50:39, 1.25s/step] Training: 47%|████▋ | 33143/70000 [11:43:50<12:39:02, 1.24s/step] Training: 47%|████▋ | 33144/70000 [11:43:51<12:58:07, 1.27s/step] Training: 47%|████▋ | 33145/70000 [11:43:52<12:44:04, 1.24s/step] Training: 47%|████▋ | 33146/70000 [11:43:53<13:07:28, 1.28s/step] Training: 47%|████▋ | 33147/70000 [11:43:55<13:32:25, 1.32s/step] Training: 47%|████▋ | 33148/70000 [11:43:56<13:35:15, 1.33s/step] Training: 47%|████▋ | 33149/70000 [11:43:57<13:10:45, 1.29s/step] Training: 47%|████▋ | 33150/70000 [11:43:59<12:52:10, 1.26s/step] Training: 47%|████▋ | 33151/70000 [11:44:00<12:39:28, 1.24s/step] Training: 47%|████▋ | 33152/70000 [11:44:01<12:58:59, 1.27s/step] Training: 47%|████▋ | 33153/70000 [11:44:02<12:45:39, 1.25s/step] Training: 47%|████▋ | 33154/70000 [11:44:04<12:59:50, 1.27s/step] Training: 47%|████▋ | 33155/70000 [11:44:05<12:55:58, 1.26s/step] Training: 47%|████▋ | 33156/70000 [11:44:06<13:05:27, 1.28s/step] Training: 47%|████▋ | 33157/70000 [11:44:07<12:48:44, 1.25s/step] Training: 47%|████▋ | 33158/70000 [11:44:09<12:37:32, 1.23s/step] Training: 47%|████▋ | 33159/70000 [11:44:10<12:29:14, 1.22s/step] Training: 47%|████▋ | 33160/70000 [11:44:11<12:57:22, 1.27s/step] Training: 47%|████▋ | 33161/70000 [11:44:12<12:43:21, 1.24s/step] Training: 47%|████▋ | 33162/70000 [11:44:14<12:58:05, 1.27s/step] Training: 47%|████▋ | 33163/70000 [11:44:15<13:09:22, 1.29s/step] Training: 47%|████▋ | 33164/70000 [11:44:16<12:57:41, 1.27s/step] Training: 47%|████▋ | 33165/70000 [11:44:18<13:07:14, 1.28s/step] Training: 47%|████▋ | 33166/70000 [11:44:19<12:51:15, 1.26s/step] Training: 47%|████▋ | 33167/70000 [11:44:20<12:39:59, 1.24s/step] Training: 47%|████▋ | 33168/70000 [11:44:21<12:56:44, 1.27s/step] Training: 47%|████▋ | 33169/70000 [11:44:22<12:43:54, 1.24s/step] Training: 47%|████▋ | 33170/70000 [11:44:24<12:36:23, 1.23s/step] Training: 47%|████▋ | 33171/70000 [11:44:25<13:02:10, 1.27s/step] Training: 47%|████▋ | 33172/70000 [11:44:26<12:49:46, 1.25s/step] Training: 47%|████▋ | 33173/70000 [11:44:27<12:38:39, 1.24s/step] Training: 47%|████▋ | 33174/70000 [11:44:29<12:30:35, 1.22s/step] Training: 47%|████▋ | 33175/70000 [11:44:30<12:24:05, 1.21s/step] Training: 47%|████▋ | 33176/70000 [11:44:31<12:45:38, 1.25s/step] Training: 47%|████▋ | 33177/70000 [11:44:32<12:34:49, 1.23s/step] Training: 47%|████▋ | 33178/70000 [11:44:34<12:57:42, 1.27s/step] Training: 47%|████▋ | 33179/70000 [11:44:35<13:08:21, 1.28s/step] Training: 47%|████▋ | 33180/70000 [11:44:36<13:22:00, 1.31s/step] Training: 47%|████▋ | 33181/70000 [11:44:38<13:00:15, 1.27s/step] Training: 47%|████▋ | 33182/70000 [11:44:39<12:45:20, 1.25s/step] Training: 47%|████▋ | 33183/70000 [11:44:40<12:36:33, 1.23s/step] Training: 47%|████▋ | 33184/70000 [11:44:41<12:54:39, 1.26s/step] Training: 47%|████▋ | 33185/70000 [11:44:42<12:42:55, 1.24s/step] Training: 47%|████▋ | 33186/70000 [11:44:44<13:00:46, 1.27s/step] Training: 47%|████▋ | 33187/70000 [11:44:45<12:51:19, 1.26s/step] Training: 47%|████▋ | 33188/70000 [11:44:46<13:30:27, 1.32s/step] Training: 47%|████▋ | 33189/70000 [11:44:48<13:06:53, 1.28s/step] Training: 47%|████▋ | 33190/70000 [11:44:49<12:49:59, 1.26s/step] Training: 47%|████▋ | 33191/70000 [11:44:50<12:38:19, 1.24s/step] Training: 47%|████▋ | 33192/70000 [11:44:51<13:01:05, 1.27s/step] Training: 47%|████▋ | 33193/70000 [11:44:53<12:45:26, 1.25s/step] Training: 47%|████▋ | 33194/70000 [11:44:54<12:59:37, 1.27s/step] Training: 47%|████▋ | 33195/70000 [11:44:55<12:48:12, 1.25s/step] Training: 47%|████▋ | 33196/70000 [11:44:57<13:18:56, 1.30s/step] Training: 47%|████▋ | 33197/70000 [11:44:58<12:58:31, 1.27s/step] Training: 47%|████▋ | 33198/70000 [11:44:59<12:44:05, 1.25s/step] Training: 47%|████▋ | 33199/70000 [11:45:00<12:32:58, 1.23s/step] Training: 47%|████▋ | 33200/70000 [11:45:01<12:50:38, 1.26s/step]INFO 2026-03-13 07:54:54 ot_train.py:435 step:33K smpl:2M ep:7K epch:28.14 loss:0.020 grdn:2.959 lr:1.4e-05 updt_s:1.239 data_s:0.019 Training: 47%|████▋ | 33201/70000 [11:45:03<12:39:02, 1.24s/step] Training: 47%|████▋ | 33202/70000 [11:45:04<12:54:54, 1.26s/step] Training: 47%|████▋ | 33203/70000 [11:45:05<13:07:13, 1.28s/step] Training: 47%|████▋ | 33204/70000 [11:45:07<13:22:25, 1.31s/step] Training: 47%|████▋ | 33205/70000 [11:45:08<12:58:53, 1.27s/step] Training: 47%|████▋ | 33206/70000 [11:45:09<12:43:34, 1.25s/step] Training: 47%|████▋ | 33207/70000 [11:45:10<12:32:53, 1.23s/step] Training: 47%|████▋ | 33208/70000 [11:45:12<12:52:04, 1.26s/step] Training: 47%|████▋ | 33209/70000 [11:45:13<12:39:04, 1.24s/step] Training: 47%|████▋ | 33210/70000 [11:45:14<12:56:14, 1.27s/step] Training: 47%|████▋ | 33211/70000 [11:45:15<13:08:02, 1.29s/step] Training: 47%|████▋ | 33212/70000 [11:45:17<13:22:42, 1.31s/step] Training: 47%|████▋ | 33213/70000 [11:45:18<13:27:23, 1.32s/step] Training: 47%|████▋ | 33214/70000 [11:45:19<13:02:32, 1.28s/step] Training: 47%|████▋ | 33215/70000 [11:45:20<12:46:35, 1.25s/step] Training: 47%|████▋ | 33216/70000 [11:45:22<13:01:42, 1.28s/step] Training: 47%|████▋ | 33217/70000 [11:45:23<12:46:46, 1.25s/step] Training: 47%|████▋ | 33218/70000 [11:45:24<12:59:55, 1.27s/step] Training: 47%|████▋ | 33219/70000 [11:45:26<12:50:57, 1.26s/step] Training: 47%|████▋ | 33220/70000 [11:45:27<13:02:37, 1.28s/step] Training: 47%|████▋ | 33221/70000 [11:45:28<13:14:34, 1.30s/step] Training: 47%|████▋ | 33222/70000 [11:45:29<12:53:43, 1.26s/step] Training: 47%|████▋ | 33223/70000 [11:45:31<12:40:33, 1.24s/step] Training: 47%|████▋ | 33224/70000 [11:45:32<13:05:16, 1.28s/step] Training: 47%|████▋ | 33225/70000 [11:45:33<12:49:12, 1.25s/step] Training: 47%|████▋ | 33226/70000 [11:45:35<13:20:11, 1.31s/step] Training: 47%|████▋ | 33227/70000 [11:45:36<13:03:18, 1.28s/step] Training: 47%|████▋ | 33228/70000 [11:45:37<13:20:31, 1.31s/step] Training: 47%|████▋ | 33229/70000 [11:45:38<12:59:01, 1.27s/step] Training: 47%|████▋ | 33230/70000 [11:45:40<12:44:17, 1.25s/step] Training: 47%|████▋ | 33231/70000 [11:45:41<12:33:09, 1.23s/step] Training: 47%|████▋ | 33232/70000 [11:45:42<12:51:37, 1.26s/step] Training: 47%|████▋ | 33233/70000 [11:45:43<12:39:29, 1.24s/step] Training: 47%|████▋ | 33234/70000 [11:45:44<12:35:55, 1.23s/step] Training: 47%|████▋ | 33235/70000 [11:45:46<12:53:08, 1.26s/step] Training: 47%|████▋ | 33236/70000 [11:45:47<13:06:05, 1.28s/step] Training: 47%|████▋ | 33237/70000 [11:45:49<13:24:14, 1.31s/step] Training: 47%|████▋ | 33238/70000 [11:45:50<13:00:44, 1.27s/step] Training: 47%|████▋ | 33239/70000 [11:45:51<12:44:47, 1.25s/step] Training: 47%|████▋ | 33240/70000 [11:45:52<12:59:06, 1.27s/step] Training: 47%|████▋ | 33241/70000 [11:45:53<12:44:49, 1.25s/step] Training: 47%|████▋ | 33242/70000 [11:45:55<12:59:41, 1.27s/step] Training: 47%|████▋ | 33243/70000 [11:45:56<13:07:59, 1.29s/step] Training: 47%|████▋ | 33244/70000 [11:45:57<12:56:34, 1.27s/step] Training: 47%|████▋ | 33245/70000 [11:45:59<13:10:20, 1.29s/step] Training: 47%|████▋ | 33246/70000 [11:46:00<12:50:56, 1.26s/step] Training: 47%|████▋ | 33247/70000 [11:46:01<12:37:33, 1.24s/step] Training: 47%|████▋ | 33248/70000 [11:46:02<12:54:02, 1.26s/step] Training: 47%|████▋ | 33249/70000 [11:46:04<12:41:17, 1.24s/step] Training: 48%|████▊ | 33250/70000 [11:46:05<13:03:51, 1.28s/step] Training: 48%|████▊ | 33251/70000 [11:46:06<12:54:46, 1.26s/step] Training: 48%|████▊ | 33252/70000 [11:46:07<12:44:17, 1.25s/step] Training: 48%|████▊ | 33253/70000 [11:46:09<12:35:12, 1.23s/step] Training: 48%|████▊ | 33254/70000 [11:46:10<13:21:49, 1.31s/step] Training: 48%|████▊ | 33255/70000 [11:46:11<12:59:18, 1.27s/step] Training: 48%|████▊ | 33256/70000 [11:46:13<13:17:30, 1.30s/step] Training: 48%|████▊ | 33257/70000 [11:46:14<12:57:12, 1.27s/step] Training: 48%|████▊ | 33258/70000 [11:46:15<13:08:07, 1.29s/step] Training: 48%|████▊ | 33259/70000 [11:46:16<12:53:09, 1.26s/step] Training: 48%|████▊ | 33260/70000 [11:46:18<13:12:24, 1.29s/step] Training: 48%|████▊ | 33261/70000 [11:46:19<12:53:25, 1.26s/step] Training: 48%|████▊ | 33262/70000 [11:46:20<12:53:32, 1.26s/step] Training: 48%|████▊ | 33263/70000 [11:46:21<12:40:37, 1.24s/step] Training: 48%|████▊ | 33264/70000 [11:46:23<12:56:38, 1.27s/step] Training: 48%|████▊ | 33265/70000 [11:46:24<12:42:52, 1.25s/step] Training: 48%|████▊ | 33266/70000 [11:46:25<12:58:11, 1.27s/step] Training: 48%|████▊ | 33267/70000 [11:46:27<13:12:12, 1.29s/step] Training: 48%|████▊ | 33268/70000 [11:46:28<13:18:02, 1.30s/step] Training: 48%|████▊ | 33269/70000 [11:46:29<12:56:55, 1.27s/step] Training: 48%|████▊ | 33270/70000 [11:46:30<12:42:00, 1.24s/step] Training: 48%|████▊ | 33271/70000 [11:46:32<12:59:38, 1.27s/step] Training: 48%|████▊ | 33272/70000 [11:46:33<13:11:35, 1.29s/step] Training: 48%|████▊ | 33273/70000 [11:46:34<12:53:17, 1.26s/step] Training: 48%|████▊ | 33274/70000 [11:46:35<13:05:25, 1.28s/step] Training: 48%|████▊ | 33275/70000 [11:46:37<13:14:56, 1.30s/step] Training: 48%|████▊ | 33276/70000 [11:46:38<13:25:30, 1.32s/step] Training: 48%|████▊ | 33277/70000 [11:46:39<13:01:45, 1.28s/step] Training: 48%|████▊ | 33278/70000 [11:46:41<13:16:01, 1.30s/step] Training: 48%|████▊ | 33279/70000 [11:46:42<12:53:05, 1.26s/step] Training: 48%|████▊ | 33280/70000 [11:46:43<13:04:49, 1.28s/step] Training: 48%|████▊ | 33281/70000 [11:46:44<12:50:38, 1.26s/step] Training: 48%|████▊ | 33282/70000 [11:46:46<13:09:32, 1.29s/step] Training: 48%|████▊ | 33283/70000 [11:46:47<12:56:30, 1.27s/step] Training: 48%|████▊ | 33284/70000 [11:46:48<13:07:09, 1.29s/step] Training: 48%|████▊ | 33285/70000 [11:46:49<12:49:14, 1.26s/step] Training: 48%|████▊ | 33286/70000 [11:46:51<12:36:56, 1.24s/step] Training: 48%|████▊ | 33287/70000 [11:46:52<12:56:30, 1.27s/step] Training: 48%|████▊ | 33288/70000 [11:46:53<13:10:38, 1.29s/step] Training: 48%|████▊ | 33289/70000 [11:46:55<12:51:58, 1.26s/step] Training: 48%|████▊ | 33290/70000 [11:46:56<13:04:47, 1.28s/step] Training: 48%|████▊ | 33291/70000 [11:46:57<12:50:57, 1.26s/step] Training: 48%|████▊ | 33292/70000 [11:46:58<13:10:59, 1.29s/step] Training: 48%|████▊ | 33293/70000 [11:47:00<12:51:52, 1.26s/step] Training: 48%|████▊ | 33294/70000 [11:47:01<12:38:20, 1.24s/step] Training: 48%|████▊ | 33295/70000 [11:47:02<12:56:54, 1.27s/step] Training: 48%|████▊ | 33296/70000 [11:47:03<13:06:47, 1.29s/step] Training: 48%|████▊ | 33297/70000 [11:47:05<12:50:06, 1.26s/step] Training: 48%|████▊ | 33298/70000 [11:47:06<13:02:41, 1.28s/step] Training: 48%|████▊ | 33299/70000 [11:47:07<13:15:20, 1.30s/step] Training: 48%|████▊ | 33300/70000 [11:47:09<13:21:10, 1.31s/step]INFO 2026-03-13 07:57:01 ot_train.py:435 step:33K smpl:2M ep:7K epch:28.23 loss:0.019 grdn:2.601 lr:1.4e-05 updt_s:1.251 data_s:0.019 Training: 48%|████▊ | 33301/70000 [11:47:10<12:58:26, 1.27s/step] Training: 48%|████▊ | 33302/70000 [11:47:11<12:42:57, 1.25s/step] Training: 48%|████▊ | 33303/70000 [11:47:12<12:32:00, 1.23s/step] Training: 48%|████▊ | 33304/70000 [11:47:14<12:49:07, 1.26s/step] Training: 48%|████▊ | 33305/70000 [11:47:15<12:36:48, 1.24s/step] Training: 48%|████▊ | 33306/70000 [11:47:16<12:52:10, 1.26s/step] Training: 48%|████▊ | 33307/70000 [11:47:17<13:04:15, 1.28s/step] Training: 48%|████▊ | 33308/70000 [11:47:19<13:19:38, 1.31s/step] Training: 48%|████▊ | 33309/70000 [11:47:20<12:57:44, 1.27s/step] Training: 48%|████▊ | 33310/70000 [11:47:21<12:42:41, 1.25s/step] Training: 48%|████▊ | 33311/70000 [11:47:22<12:40:38, 1.24s/step] Training: 48%|████▊ | 33312/70000 [11:47:24<12:56:14, 1.27s/step] Training: 48%|████▊ | 33313/70000 [11:47:25<12:42:25, 1.25s/step] Training: 48%|████▊ | 33314/70000 [11:47:26<13:05:36, 1.28s/step] Training: 48%|████▊ | 33315/70000 [11:47:28<12:54:04, 1.27s/step] Training: 48%|████▊ | 33316/70000 [11:47:29<13:04:12, 1.28s/step] Training: 48%|████▊ | 33317/70000 [11:47:30<12:46:33, 1.25s/step] Training: 48%|████▊ | 33318/70000 [11:47:31<12:34:28, 1.23s/step] Training: 48%|████▊ | 33319/70000 [11:47:32<12:38:07, 1.24s/step] Training: 48%|████▊ | 33320/70000 [11:47:34<12:58:31, 1.27s/step] Training: 48%|████▊ | 33321/70000 [11:47:35<12:43:19, 1.25s/step] Training: 48%|████▊ | 33322/70000 [11:47:36<12:57:37, 1.27s/step] Training: 48%|████▊ | 33323/70000 [11:47:38<12:47:29, 1.26s/step] Training: 48%|████▊ | 33324/70000 [11:47:39<13:11:05, 1.29s/step] Training: 48%|████▊ | 33325/70000 [11:47:40<12:52:47, 1.26s/step] Training: 48%|████▊ | 33326/70000 [11:47:41<12:39:07, 1.24s/step] Training: 48%|████▊ | 33327/70000 [11:47:42<12:29:54, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=25651 Training: 48%|████▊ | 33328/70000 [11:47:44<13:14:42, 1.30s/step] Training: 48%|████▊ | 33329/70000 [11:47:45<12:54:25, 1.27s/step] Training: 48%|████▊ | 33330/70000 [11:47:46<13:06:06, 1.29s/step] Training: 48%|████▊ | 33331/70000 [11:47:48<13:17:01, 1.30s/step] Training: 48%|████▊ | 33332/70000 [11:47:49<13:19:37, 1.31s/step] Training: 48%|████▊ | 33333/70000 [11:47:50<12:58:50, 1.27s/step] Training: 48%|████▊ | 33334/70000 [11:47:52<12:43:33, 1.25s/step] Training: 48%|████▊ | 33335/70000 [11:47:53<12:32:32, 1.23s/step] Training: 48%|████▊ | 33336/70000 [11:47:54<13:07:10, 1.29s/step] Training: 48%|████▊ | 33337/70000 [11:47:55<12:48:55, 1.26s/step] Training: 48%|████▊ | 33338/70000 [11:47:57<13:01:24, 1.28s/step] Training: 48%|████▊ | 33339/70000 [11:47:58<13:13:59, 1.30s/step] Training: 48%|████▊ | 33340/70000 [11:47:59<13:25:31, 1.32s/step] Training: 48%|████▊ | 33341/70000 [11:48:01<13:01:51, 1.28s/step] Training: 48%|████▊ | 33342/70000 [11:48:02<12:46:22, 1.25s/step] Training: 48%|████▊ | 33343/70000 [11:48:03<12:33:25, 1.23s/step] Training: 48%|████▊ | 33344/70000 [11:48:04<12:54:56, 1.27s/step] Training: 48%|████▊ | 33345/70000 [11:48:05<12:38:05, 1.24s/step] Training: 48%|████▊ | 33346/70000 [11:48:07<13:01:22, 1.28s/step] Training: 48%|████▊ | 33347/70000 [11:48:08<12:51:48, 1.26s/step] Training: 48%|████▊ | 33348/70000 [11:48:09<13:03:33, 1.28s/step] Training: 48%|████▊ | 33349/70000 [11:48:11<12:46:21, 1.25s/step] Training: 48%|████▊ | 33350/70000 [11:48:12<12:34:11, 1.23s/step] Training: 48%|████▊ | 33351/70000 [11:48:13<12:25:42, 1.22s/step] Training: 48%|████▊ | 33352/70000 [11:48:14<12:57:28, 1.27s/step] Training: 48%|████▊ | 33353/70000 [11:48:16<12:40:41, 1.25s/step] Training: 48%|████▊ | 33354/70000 [11:48:17<12:56:06, 1.27s/step] Training: 48%|████▊ | 33355/70000 [11:48:18<12:45:33, 1.25s/step] Training: 48%|████▊ | 33356/70000 [11:48:19<13:05:01, 1.29s/step] Training: 48%|████▊ | 33357/70000 [11:48:21<12:47:40, 1.26s/step] Training: 48%|████▊ | 33358/70000 [11:48:22<12:34:51, 1.24s/step] Training: 48%|████▊ | 33359/70000 [11:48:23<12:26:07, 1.22s/step] Training: 48%|████▊ | 33360/70000 [11:48:24<12:46:22, 1.25s/step] Training: 48%|████▊ | 33361/70000 [11:48:26<13:01:39, 1.28s/step] Training: 48%|████▊ | 33362/70000 [11:48:27<13:10:25, 1.29s/step] Training: 48%|████▊ | 33363/70000 [11:48:28<13:16:08, 1.30s/step] Training: 48%|████▊ | 33364/70000 [11:48:30<13:21:16, 1.31s/step] Training: 48%|████▊ | 33365/70000 [11:48:31<12:59:04, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=3094 Training: 48%|████▊ | 33366/70000 [11:48:32<12:43:16, 1.25s/step] Training: 48%|████▊ | 33367/70000 [11:48:33<12:32:06, 1.23s/step] Training: 48%|████▊ | 33368/70000 [11:48:35<12:53:04, 1.27s/step] Training: 48%|████▊ | 33369/70000 [11:48:36<13:41:24, 1.35s/step] Training: 48%|████▊ | 33370/70000 [11:48:37<13:37:50, 1.34s/step] Training: 48%|████▊ | 33371/70000 [11:48:39<13:36:02, 1.34s/step] Training: 48%|████▊ | 33372/70000 [11:48:40<13:39:41, 1.34s/step] Training: 48%|████▊ | 33373/70000 [11:48:41<13:11:10, 1.30s/step] Training: 48%|████▊ | 33374/70000 [11:48:43<12:52:03, 1.26s/step] Training: 48%|████▊ | 33375/70000 [11:48:44<12:36:58, 1.24s/step] Training: 48%|████▊ | 33376/70000 [11:48:45<12:52:37, 1.27s/step] Training: 48%|████▊ | 33377/70000 [11:48:46<12:44:37, 1.25s/step] Training: 48%|████▊ | 33378/70000 [11:48:48<13:06:51, 1.29s/step] Training: 48%|████▊ | 33379/70000 [11:48:49<12:55:20, 1.27s/step] Training: 48%|████▊ | 33380/70000 [11:48:50<13:04:34, 1.29s/step] Training: 48%|████▊ | 33381/70000 [11:48:51<12:47:48, 1.26s/step] Training: 48%|████▊ | 33382/70000 [11:48:53<12:35:23, 1.24s/step] Training: 48%|████▊ | 33383/70000 [11:48:54<12:26:06, 1.22s/step] Training: 48%|████▊ | 33384/70000 [11:48:55<12:54:00, 1.27s/step] Training: 48%|████▊ | 33385/70000 [11:48:56<12:52:42, 1.27s/step] Training: 48%|████▊ | 33386/70000 [11:48:58<13:03:17, 1.28s/step] Training: 48%|████▊ | 33387/70000 [11:48:59<12:51:10, 1.26s/step] Training: 48%|████▊ | 33388/70000 [11:49:00<13:09:06, 1.29s/step] Training: 48%|████▊ | 33389/70000 [11:49:01<12:49:44, 1.26s/step] Training: 48%|████▊ | 33390/70000 [11:49:03<12:37:21, 1.24s/step] Training: 48%|████▊ | 33391/70000 [11:49:04<12:27:33, 1.23s/step] Training: 48%|████▊ | 33392/70000 [11:49:05<12:47:59, 1.26s/step] Training: 48%|████▊ | 33393/70000 [11:49:06<12:35:56, 1.24s/step] Training: 48%|████▊ | 33394/70000 [11:49:08<13:14:38, 1.30s/step] Training: 48%|████▊ | 33395/70000 [11:49:09<13:18:57, 1.31s/step] Training: 48%|████▊ | 33396/70000 [11:49:10<13:25:37, 1.32s/step] Training: 48%|████▊ | 33397/70000 [11:49:12<13:03:09, 1.28s/step] Training: 48%|████▊ | 33398/70000 [11:49:13<12:44:49, 1.25s/step] Training: 48%|████▊ | 33399/70000 [11:49:14<12:32:32, 1.23s/step] Training: 48%|████▊ | 33400/70000 [11:49:15<12:49:35, 1.26s/step]INFO 2026-03-13 07:59:08 ot_train.py:435 step:33K smpl:2M ep:7K epch:28.31 loss:0.019 grdn:2.326 lr:1.4e-05 updt_s:1.246 data_s:0.019 Training: 48%|████▊ | 33401/70000 [11:49:17<12:36:30, 1.24s/step] Training: 48%|████▊ | 33402/70000 [11:49:18<13:05:44, 1.29s/step] Training: 48%|████▊ | 33403/70000 [11:49:19<13:11:26, 1.30s/step] Training: 48%|████▊ | 33404/70000 [11:49:21<13:21:58, 1.31s/step] Training: 48%|████▊ | 33405/70000 [11:49:22<12:59:02, 1.28s/step] Training: 48%|████▊ | 33406/70000 [11:49:23<12:42:48, 1.25s/step] Training: 48%|████▊ | 33407/70000 [11:49:24<12:31:44, 1.23s/step] Training: 48%|████▊ | 33408/70000 [11:49:26<12:50:13, 1.26s/step] Training: 48%|████▊ | 33409/70000 [11:49:27<12:37:55, 1.24s/step] Training: 48%|████▊ | 33410/70000 [11:49:28<13:00:26, 1.28s/step] Training: 48%|████▊ | 33411/70000 [11:49:29<13:11:24, 1.30s/step] Training: 48%|████▊ | 33412/70000 [11:49:31<13:14:15, 1.30s/step] Training: 48%|████▊ | 33413/70000 [11:49:32<12:53:22, 1.27s/step] Training: 48%|████▊ | 33414/70000 [11:49:33<12:38:28, 1.24s/step] Training: 48%|████▊ | 33415/70000 [11:49:34<12:28:22, 1.23s/step] Training: 48%|████▊ | 33416/70000 [11:49:36<12:54:55, 1.27s/step] Training: 48%|████▊ | 33417/70000 [11:49:37<12:40:34, 1.25s/step] Training: 48%|████▊ | 33418/70000 [11:49:38<13:00:12, 1.28s/step] Training: 48%|████▊ | 33419/70000 [11:49:39<12:47:33, 1.26s/step] Training: 48%|████▊ | 33420/70000 [11:49:41<12:45:01, 1.25s/step] Training: 48%|████▊ | 33421/70000 [11:49:42<12:54:32, 1.27s/step] Training: 48%|████▊ | 33422/70000 [11:49:43<12:41:34, 1.25s/step] Training: 48%|████▊ | 33423/70000 [11:49:44<12:30:27, 1.23s/step] Training: 48%|████▊ | 33424/70000 [11:49:46<12:49:34, 1.26s/step] Training: 48%|████▊ | 33425/70000 [11:49:47<12:35:59, 1.24s/step] Training: 48%|████▊ | 33426/70000 [11:49:48<12:52:49, 1.27s/step] Training: 48%|████▊ | 33427/70000 [11:49:50<13:20:02, 1.31s/step] Training: 48%|████▊ | 33428/70000 [11:49:51<12:58:29, 1.28s/step] Training: 48%|████▊ | 33429/70000 [11:49:52<12:43:00, 1.25s/step] Training: 48%|████▊ | 33430/70000 [11:49:53<12:32:10, 1.23s/step] Training: 48%|████▊ | 33431/70000 [11:49:54<12:24:16, 1.22s/step] Training: 48%|████▊ | 33432/70000 [11:49:56<12:22:09, 1.22s/step] Training: 48%|████▊ | 33433/70000 [11:49:57<12:38:46, 1.25s/step] Training: 48%|████▊ | 33434/70000 [11:49:58<12:57:40, 1.28s/step] Training: 48%|████▊ | 33435/70000 [11:50:00<13:28:18, 1.33s/step] Training: 48%|████▊ | 33436/70000 [11:50:01<13:36:01, 1.34s/step] Training: 48%|████▊ | 33437/70000 [11:50:02<13:08:39, 1.29s/step] Training: 48%|████▊ | 33438/70000 [11:50:04<12:48:53, 1.26s/step] Training: 48%|████▊ | 33439/70000 [11:50:05<12:35:16, 1.24s/step] Training: 48%|████▊ | 33440/70000 [11:50:06<12:51:00, 1.27s/step] Training: 48%|████▊ | 33441/70000 [11:50:07<12:38:01, 1.24s/step] Training: 48%|████▊ | 33442/70000 [11:50:09<13:01:26, 1.28s/step] Training: 48%|████▊ | 33443/70000 [11:50:10<12:53:20, 1.27s/step] Training: 48%|████▊ | 33444/70000 [11:50:11<13:04:37, 1.29s/step] Training: 48%|████▊ | 33445/70000 [11:50:12<12:51:27, 1.27s/step] Training: 48%|████▊ | 33446/70000 [11:50:14<12:37:42, 1.24s/step] Training: 48%|████▊ | 33447/70000 [11:50:15<12:27:52, 1.23s/step] Training: 48%|████▊ | 33448/70000 [11:50:16<12:46:36, 1.26s/step] Training: 48%|████▊ | 33449/70000 [11:50:17<12:35:10, 1.24s/step] Training: 48%|████▊ | 33450/70000 [11:50:19<12:36:39, 1.24s/step] Training: 48%|████▊ | 33451/70000 [11:50:20<13:06:14, 1.29s/step] Training: 48%|████▊ | 33452/70000 [11:50:21<13:18:04, 1.31s/step] Training: 48%|████▊ | 33453/70000 [11:50:22<12:56:38, 1.28s/step] Training: 48%|████▊ | 33454/70000 [11:50:24<12:41:13, 1.25s/step] Training: 48%|████▊ | 33455/70000 [11:50:25<12:31:08, 1.23s/step] Training: 48%|████▊ | 33456/70000 [11:50:26<12:46:48, 1.26s/step] Training: 48%|████▊ | 33457/70000 [11:50:27<12:35:08, 1.24s/step] Training: 48%|████▊ | 33458/70000 [11:50:29<12:33:39, 1.24s/step] Training: 48%|████▊ | 33459/70000 [11:50:30<13:02:49, 1.29s/step] Training: 48%|████▊ | 33460/70000 [11:50:31<13:10:06, 1.30s/step] Training: 48%|████▊ | 33461/70000 [11:50:33<12:50:31, 1.27s/step] Training: 48%|████▊ | 33462/70000 [11:50:34<12:37:31, 1.24s/step] Training: 48%|████▊ | 33463/70000 [11:50:35<12:27:03, 1.23s/step] Training: 48%|████▊ | 33464/70000 [11:50:36<12:23:39, 1.22s/step] Training: 48%|████▊ | 33465/70000 [11:50:37<12:38:42, 1.25s/step] Training: 48%|████▊ | 33466/70000 [11:50:39<12:28:26, 1.23s/step] Training: 48%|████▊ | 33467/70000 [11:50:40<13:04:29, 1.29s/step] Training: 48%|████▊ | 33468/70000 [11:50:41<13:28:21, 1.33s/step] Training: 48%|████▊ | 33469/70000 [11:50:43<13:03:04, 1.29s/step] Training: 48%|████▊ | 33470/70000 [11:50:44<12:44:52, 1.26s/step] Training: 48%|████▊ | 33471/70000 [11:50:45<12:32:33, 1.24s/step] Training: 48%|████▊ | 33472/70000 [11:50:46<12:49:31, 1.26s/step] Training: 48%|████▊ | 33473/70000 [11:50:48<12:36:52, 1.24s/step] Training: 48%|████▊ | 33474/70000 [11:50:49<12:33:50, 1.24s/step] Training: 48%|████▊ | 33475/70000 [11:50:50<12:31:06, 1.23s/step] Training: 48%|████▊ | 33476/70000 [11:50:51<13:04:34, 1.29s/step] Training: 48%|████▊ | 33477/70000 [11:50:53<12:46:33, 1.26s/step] Training: 48%|████▊ | 33478/70000 [11:50:54<12:35:55, 1.24s/step] Training: 48%|████▊ | 33479/70000 [11:50:55<12:26:44, 1.23s/step] Training: 48%|████▊ | 33480/70000 [11:50:56<12:52:00, 1.27s/step] Training: 48%|████▊ | 33481/70000 [11:50:58<12:37:17, 1.24s/step] Training: 48%|████▊ | 33482/70000 [11:50:59<12:38:16, 1.25s/step] Training: 48%|████▊ | 33483/70000 [11:51:00<12:32:06, 1.24s/step] Training: 48%|████▊ | 33484/70000 [11:51:01<12:59:34, 1.28s/step] Training: 48%|████▊ | 33485/70000 [11:51:03<12:40:58, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=3094 Training: 48%|████▊ | 33486/70000 [11:51:04<12:28:55, 1.23s/step] Training: 48%|████▊ | 33487/70000 [11:51:05<12:21:15, 1.22s/step] Training: 48%|████▊ | 33488/70000 [11:51:06<12:39:43, 1.25s/step] Training: 48%|████▊ | 33489/70000 [11:51:07<12:29:21, 1.23s/step] Training: 48%|████▊ | 33490/70000 [11:51:09<12:47:18, 1.26s/step] Training: 48%|████▊ | 33491/70000 [11:51:10<13:00:47, 1.28s/step] Training: 48%|████▊ | 33492/70000 [11:51:11<13:13:28, 1.30s/step] Training: 48%|████▊ | 33493/70000 [11:51:13<12:49:59, 1.27s/step] Training: 48%|████▊ | 33494/70000 [11:51:14<12:35:57, 1.24s/step] Training: 48%|████▊ | 33495/70000 [11:51:15<12:26:27, 1.23s/step] Training: 48%|████▊ | 33496/70000 [11:51:16<12:22:51, 1.22s/step] Training: 48%|████▊ | 33497/70000 [11:51:18<12:37:42, 1.25s/step] Training: 48%|████▊ | 33498/70000 [11:51:19<12:55:00, 1.27s/step] Training: 48%|████▊ | 33499/70000 [11:51:20<13:03:18, 1.29s/step] Training: 48%|████▊ | 33500/70000 [11:51:22<13:20:43, 1.32s/step]INFO 2026-03-13 08:01:14 ot_train.py:435 step:34K smpl:2M ep:7K epch:28.39 loss:0.020 grdn:2.480 lr:1.4e-05 updt_s:1.241 data_s:0.019 Training: 48%|████▊ | 33501/70000 [11:51:23<13:24:18, 1.32s/step] Training: 48%|████▊ | 33502/70000 [11:51:24<12:58:04, 1.28s/step] Training: 48%|████▊ | 33503/70000 [11:51:25<12:41:47, 1.25s/step] Training: 48%|████▊ | 33504/70000 [11:51:27<12:56:02, 1.28s/step] Training: 48%|████▊ | 33505/70000 [11:51:28<12:41:21, 1.25s/step] Training: 48%|████▊ | 33506/70000 [11:51:29<13:02:57, 1.29s/step] Training: 48%|████▊ | 33507/70000 [11:51:30<12:53:11, 1.27s/step] Training: 48%|████▊ | 33508/70000 [11:51:32<13:02:37, 1.29s/step] Training: 48%|████▊ | 33509/70000 [11:51:33<13:11:59, 1.30s/step] Training: 48%|████▊ | 33510/70000 [11:51:34<12:49:53, 1.27s/step] Training: 48%|████▊ | 33511/70000 [11:51:35<12:35:59, 1.24s/step] Training: 48%|████▊ | 33512/70000 [11:51:37<12:56:51, 1.28s/step] Training: 48%|████▊ | 33513/70000 [11:51:38<12:40:34, 1.25s/step] Training: 48%|████▊ | 33514/70000 [11:51:39<12:44:09, 1.26s/step] Training: 48%|████▊ | 33515/70000 [11:51:40<12:34:50, 1.24s/step] Training: 48%|████▊ | 33516/70000 [11:51:42<12:56:24, 1.28s/step] Training: 48%|████▊ | 33517/70000 [11:51:43<13:06:01, 1.29s/step] Training: 48%|████▊ | 33518/70000 [11:51:44<12:46:20, 1.26s/step] Training: 48%|████▊ | 33519/70000 [11:51:46<12:32:59, 1.24s/step] Training: 48%|████▊ | 33520/70000 [11:51:47<12:48:33, 1.26s/step] Training: 48%|████▊ | 33521/70000 [11:51:48<12:34:51, 1.24s/step] Training: 48%|████▊ | 33522/70000 [11:51:49<12:50:31, 1.27s/step] Training: 48%|████▊ | 33523/70000 [11:51:51<13:01:22, 1.29s/step] Training: 48%|████▊ | 33524/70000 [11:51:52<13:10:49, 1.30s/step] Training: 48%|████▊ | 33525/70000 [11:51:53<13:18:25, 1.31s/step] Training: 48%|████▊ | 33526/70000 [11:51:55<12:53:35, 1.27s/step] Training: 48%|████▊ | 33527/70000 [11:51:56<12:38:07, 1.25s/step] Training: 48%|████▊ | 33528/70000 [11:51:57<12:30:07, 1.23s/step] Training: 48%|████▊ | 33529/70000 [11:51:58<12:43:44, 1.26s/step] Training: 48%|████▊ | 33530/70000 [11:52:00<12:57:39, 1.28s/step] Training: 48%|████▊ | 33531/70000 [11:52:01<13:08:23, 1.30s/step] Training: 48%|████▊ | 33532/70000 [11:52:02<13:22:38, 1.32s/step] Training: 48%|████▊ | 33533/70000 [11:52:04<13:07:53, 1.30s/step] Training: 48%|████▊ | 33534/70000 [11:52:05<12:47:12, 1.26s/step] Training: 48%|████▊ | 33535/70000 [11:52:06<12:33:58, 1.24s/step] Training: 48%|████▊ | 33536/70000 [11:52:07<12:50:01, 1.27s/step] Training: 48%|████▊ | 33537/70000 [11:52:08<12:36:21, 1.24s/step] Training: 48%|████▊ | 33538/70000 [11:52:10<12:59:32, 1.28s/step] Training: 48%|████▊ | 33539/70000 [11:52:11<12:48:59, 1.27s/step] Training: 48%|████▊ | 33540/70000 [11:52:12<12:59:27, 1.28s/step] Training: 48%|████▊ | 33541/70000 [11:52:14<12:42:19, 1.25s/step] Training: 48%|████▊ | 33542/70000 [11:52:15<12:56:36, 1.28s/step] Training: 48%|████▊ | 33543/70000 [11:52:16<12:38:53, 1.25s/step] Training: 48%|████▊ | 33544/70000 [11:52:17<12:54:34, 1.27s/step] Training: 48%|████▊ | 33545/70000 [11:52:19<12:39:38, 1.25s/step] Training: 48%|████▊ | 33546/70000 [11:52:20<12:39:37, 1.25s/step] Training: 48%|████▊ | 33547/70000 [11:52:21<12:32:16, 1.24s/step] Training: 48%|████▊ | 33548/70000 [11:52:22<12:30:44, 1.24s/step] Training: 48%|████▊ | 33549/70000 [11:52:24<12:45:04, 1.26s/step] Training: 48%|████▊ | 33550/70000 [11:52:25<12:56:01, 1.28s/step] Training: 48%|████▊ | 33551/70000 [11:52:26<12:38:58, 1.25s/step] Training: 48%|████▊ | 33552/70000 [11:52:27<12:53:55, 1.27s/step] Training: 48%|████▊ | 33553/70000 [11:52:29<12:38:30, 1.25s/step] Training: 48%|████▊ | 33554/70000 [11:52:30<12:55:10, 1.28s/step] Training: 48%|████▊ | 33555/70000 [11:52:31<13:04:42, 1.29s/step] Training: 48%|████▊ | 33556/70000 [11:52:32<12:49:42, 1.27s/step] Training: 48%|████▊ | 33557/70000 [11:52:34<12:40:42, 1.25s/step] Training: 48%|████▊ | 33558/70000 [11:52:35<13:01:24, 1.29s/step] Training: 48%|████▊ | 33559/70000 [11:52:36<12:42:03, 1.25s/step] Training: 48%|████▊ | 33560/70000 [11:52:37<12:34:19, 1.24s/step] Training: 48%|████▊ | 33561/70000 [11:52:39<12:46:45, 1.26s/step] Training: 48%|████▊ | 33562/70000 [11:52:40<13:00:00, 1.28s/step] Training: 48%|████▊ | 33563/70000 [11:52:41<13:09:33, 1.30s/step] Training: 48%|████▊ | 33564/70000 [11:52:43<13:14:23, 1.31s/step] Training: 48%|████▊ | 33565/70000 [11:52:44<12:54:37, 1.28s/step] Training: 48%|████▊ | 33566/70000 [11:52:45<12:39:14, 1.25s/step] Training: 48%|████▊ | 33567/70000 [11:52:47<12:55:50, 1.28s/step] Training: 48%|████▊ | 33568/70000 [11:52:48<13:05:47, 1.29s/step] Training: 48%|████▊ | 33569/70000 [11:52:49<12:47:29, 1.26s/step] Training: 48%|████▊ | 33570/70000 [11:52:50<13:04:15, 1.29s/step] Training: 48%|████▊ | 33571/70000 [11:52:52<12:52:20, 1.27s/step] Training: 48%|████▊ | 33572/70000 [11:52:53<13:01:33, 1.29s/step] Training: 48%|████▊ | 33573/70000 [11:52:54<13:11:13, 1.30s/step] Training: 48%|████▊ | 33574/70000 [11:52:55<12:50:24, 1.27s/step] Training: 48%|████▊ | 33575/70000 [11:52:57<13:04:11, 1.29s/step] Training: 48%|████▊ | 33576/70000 [11:52:58<13:14:33, 1.31s/step] Training: 48%|████▊ | 33577/70000 [11:52:59<12:52:33, 1.27s/step] Training: 48%|████▊ | 33578/70000 [11:53:01<12:49:37, 1.27s/step] Training: 48%|████▊ | 33579/70000 [11:53:02<12:39:23, 1.25s/step] Training: 48%|████▊ | 33580/70000 [11:53:03<12:34:54, 1.24s/step] Training: 48%|████▊ | 33581/70000 [11:53:04<12:50:55, 1.27s/step] Training: 48%|████▊ | 33582/70000 [11:53:06<12:36:33, 1.25s/step] Training: 48%|████▊ | 33583/70000 [11:53:07<12:26:38, 1.23s/step] Training: 48%|████▊ | 33584/70000 [11:53:08<12:43:29, 1.26s/step] Training: 48%|████▊ | 33585/70000 [11:53:09<12:31:24, 1.24s/step] Training: 48%|████▊ | 33586/70000 [11:53:10<12:26:50, 1.23s/step] Training: 48%|████▊ | 33587/70000 [11:53:12<13:02:37, 1.29s/step] Training: 48%|████▊ | 33588/70000 [11:53:13<12:46:26, 1.26s/step] Training: 48%|████▊ | 33589/70000 [11:53:14<12:37:51, 1.25s/step] Training: 48%|████▊ | 33590/70000 [11:53:16<12:27:05, 1.23s/step] Training: 48%|████▊ | 33591/70000 [11:53:17<12:24:48, 1.23s/step] Training: 48%|████▊ | 33592/70000 [11:53:18<12:23:38, 1.23s/step] Training: 48%|████▊ | 33593/70000 [11:53:19<12:37:03, 1.25s/step] Training: 48%|████▊ | 33594/70000 [11:53:21<12:52:08, 1.27s/step] Training: 48%|████▊ | 33595/70000 [11:53:22<13:02:13, 1.29s/step] Training: 48%|████▊ | 33596/70000 [11:53:23<13:08:10, 1.30s/step] Training: 48%|████▊ | 33597/70000 [11:53:24<12:50:17, 1.27s/step] Training: 48%|████▊ | 33598/70000 [11:53:26<12:36:04, 1.25s/step] Training: 48%|████▊ | 33599/70000 [11:53:27<12:25:52, 1.23s/step] Training: 48%|████▊ | 33600/70000 [11:53:28<13:02:27, 1.29s/step]INFO 2026-03-13 08:03:20 ot_train.py:435 step:34K smpl:2M ep:7K epch:28.48 loss:0.020 grdn:2.600 lr:1.4e-05 updt_s:1.246 data_s:0.019 Training: 48%|████▊ | 33601/70000 [11:53:29<12:44:28, 1.26s/step] Training: 48%|████▊ | 33602/70000 [11:53:31<12:57:56, 1.28s/step] Training: 48%|████▊ | 33603/70000 [11:53:32<12:47:42, 1.27s/step] Training: 48%|████▊ | 33604/70000 [11:53:33<13:00:02, 1.29s/step] Training: 48%|████▊ | 33605/70000 [11:53:35<13:08:09, 1.30s/step] Training: 48%|████▊ | 33606/70000 [11:53:36<12:48:17, 1.27s/step] Training: 48%|████▊ | 33607/70000 [11:53:37<12:33:39, 1.24s/step] Training: 48%|████▊ | 33608/70000 [11:53:38<13:10:52, 1.30s/step] Training: 48%|████▊ | 33609/70000 [11:53:40<12:50:55, 1.27s/step] Training: 48%|████▊ | 33610/70000 [11:53:41<12:53:40, 1.28s/step] Training: 48%|████▊ | 33611/70000 [11:53:42<12:40:16, 1.25s/step] Training: 48%|████▊ | 33612/70000 [11:53:43<12:35:39, 1.25s/step] Training: 48%|████▊ | 33613/70000 [11:53:45<12:49:53, 1.27s/step] Training: 48%|████▊ | 33614/70000 [11:53:46<12:35:00, 1.24s/step] Training: 48%|████▊ | 33615/70000 [11:53:47<12:24:31, 1.23s/step] Training: 48%|████▊ | 33616/70000 [11:53:48<12:31:47, 1.24s/step] Training: 48%|████▊ | 33617/70000 [11:53:50<12:23:15, 1.23s/step] Training: 48%|████▊ | 33618/70000 [11:53:51<12:19:46, 1.22s/step] Training: 48%|████▊ | 33619/70000 [11:53:52<12:57:24, 1.28s/step] Training: 48%|████▊ | 33620/70000 [11:53:53<12:43:35, 1.26s/step] Training: 48%|████▊ | 33621/70000 [11:53:55<12:35:33, 1.25s/step] Training: 48%|████▊ | 33622/70000 [11:53:56<12:25:02, 1.23s/step] Training: 48%|████▊ | 33623/70000 [11:53:57<12:17:49, 1.22s/step] Training: 48%|████▊ | 33624/70000 [11:53:58<12:38:19, 1.25s/step] Training: 48%|████▊ | 33625/70000 [11:54:00<12:28:19, 1.23s/step] Training: 48%|████▊ | 33626/70000 [11:54:01<12:45:35, 1.26s/step] Training: 48%|████▊ | 33627/70000 [11:54:02<12:57:35, 1.28s/step] Training: 48%|████▊ | 33628/70000 [11:54:04<13:08:56, 1.30s/step] Training: 48%|████▊ | 33629/70000 [11:54:05<12:53:17, 1.28s/step] Training: 48%|████▊ | 33630/70000 [11:54:06<12:37:45, 1.25s/step] Training: 48%|████▊ | 33631/70000 [11:54:07<12:26:18, 1.23s/step] Training: 48%|████▊ | 33632/70000 [11:54:08<12:45:14, 1.26s/step] Training: 48%|████▊ | 33633/70000 [11:54:10<13:06:14, 1.30s/step] Training: 48%|████▊ | 33634/70000 [11:54:11<13:14:01, 1.31s/step] Training: 48%|████▊ | 33635/70000 [11:54:12<12:59:49, 1.29s/step] Training: 48%|████▊ | 33636/70000 [11:54:14<13:07:43, 1.30s/step] Training: 48%|████▊ | 33637/70000 [11:54:15<13:14:33, 1.31s/step] Training: 48%|████▊ | 33638/70000 [11:54:16<12:52:21, 1.27s/step] Training: 48%|████▊ | 33639/70000 [11:54:17<12:36:44, 1.25s/step] Training: 48%|████▊ | 33640/70000 [11:54:19<12:58:28, 1.28s/step] Training: 48%|████▊ | 33641/70000 [11:54:20<12:58:20, 1.28s/step] Training: 48%|████▊ | 33642/70000 [11:54:21<12:52:20, 1.27s/step] Training: 48%|████▊ | 33643/70000 [11:54:23<12:40:10, 1.25s/step] Training: 48%|████▊ | 33644/70000 [11:54:24<12:33:46, 1.24s/step] Training: 48%|████▊ | 33645/70000 [11:54:25<12:49:25, 1.27s/step] Training: 48%|████▊ | 33646/70000 [11:54:26<12:34:24, 1.25s/step] Training: 48%|████▊ | 33647/70000 [11:54:27<12:24:18, 1.23s/step] Training: 48%|████▊ | 33648/70000 [11:54:29<12:28:43, 1.24s/step] Training: 48%|████▊ | 33649/70000 [11:54:30<12:50:55, 1.27s/step] Training: 48%|████▊ | 33650/70000 [11:54:31<12:36:30, 1.25s/step] Training: 48%|████▊ | 33651/70000 [11:54:33<13:11:36, 1.31s/step] Training: 48%|████▊ | 33652/70000 [11:54:34<12:52:54, 1.28s/step] Training: 48%|████▊ | 33653/70000 [11:54:35<12:42:17, 1.26s/step] Training: 48%|████▊ | 33654/70000 [11:54:36<12:29:17, 1.24s/step] Training: 48%|████▊ | 33655/70000 [11:54:38<12:20:32, 1.22s/step] Training: 48%|████▊ | 33656/70000 [11:54:39<12:39:02, 1.25s/step] Training: 48%|████▊ | 33657/70000 [11:54:40<13:00:14, 1.29s/step] Training: 48%|████▊ | 33658/70000 [11:54:42<13:06:08, 1.30s/step] Training: 48%|████▊ | 33659/70000 [11:54:43<13:12:19, 1.31s/step] Training: 48%|████▊ | 33660/70000 [11:54:44<13:15:10, 1.31s/step] Training: 48%|████▊ | 33661/70000 [11:54:45<12:55:56, 1.28s/step] Training: 48%|████▊ | 33662/70000 [11:54:47<12:39:32, 1.25s/step] Training: 48%|████▊ | 33663/70000 [11:54:48<12:28:18, 1.24s/step] Training: 48%|████▊ | 33664/70000 [11:54:49<12:46:15, 1.27s/step] Training: 48%|████▊ | 33665/70000 [11:54:50<12:34:23, 1.25s/step] Training: 48%|████▊ | 33666/70000 [11:54:52<13:04:24, 1.30s/step] Training: 48%|████▊ | 33667/70000 [11:54:53<12:52:47, 1.28s/step] Training: 48%|████▊ | 33668/70000 [11:54:54<13:02:42, 1.29s/step] Training: 48%|████▊ | 33669/70000 [11:54:56<13:08:02, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=3094 Training: 48%|████▊ | 33670/70000 [11:54:57<12:47:20, 1.27s/step] Training: 48%|████▊ | 33671/70000 [11:54:58<12:33:04, 1.24s/step] Training: 48%|████▊ | 33672/70000 [11:54:59<12:58:20, 1.29s/step] Training: 48%|████▊ | 33673/70000 [11:55:01<12:40:59, 1.26s/step] Training: 48%|████▊ | 33674/70000 [11:55:02<12:56:52, 1.28s/step] Training: 48%|████▊ | 33675/70000 [11:55:03<12:42:35, 1.26s/step] Training: 48%|████▊ | 33676/70000 [11:55:04<12:38:36, 1.25s/step] Training: 48%|████▊ | 33677/70000 [11:55:06<12:53:12, 1.28s/step] Training: 48%|████▊ | 33678/70000 [11:55:07<12:37:08, 1.25s/step] Training: 48%|████▊ | 33679/70000 [11:55:08<12:26:50, 1.23s/step] Training: 48%|████▊ | 33680/70000 [11:55:09<12:30:11, 1.24s/step] Training: 48%|████▊ | 33681/70000 [11:55:11<12:22:00, 1.23s/step] Training: 48%|████▊ | 33682/70000 [11:55:12<12:23:43, 1.23s/step] Training: 48%|████▊ | 33683/70000 [11:55:13<13:02:06, 1.29s/step] Training: 48%|████▊ | 33684/70000 [11:55:14<12:46:35, 1.27s/step] Training: 48%|████▊ | 33685/70000 [11:55:16<12:38:51, 1.25s/step] Training: 48%|████▊ | 33686/70000 [11:55:17<12:27:03, 1.23s/step] Training: 48%|████▊ | 33687/70000 [11:55:18<12:20:38, 1.22s/step] Training: 48%|████▊ | 33688/70000 [11:55:19<12:39:39, 1.26s/step] Training: 48%|████▊ | 33689/70000 [11:55:21<12:28:32, 1.24s/step] Training: 48%|████▊ | 33690/70000 [11:55:22<12:50:29, 1.27s/step] Training: 48%|████▊ | 33691/70000 [11:55:23<12:58:50, 1.29s/step] Training: 48%|████▊ | 33692/70000 [11:55:25<13:05:48, 1.30s/step] Training: 48%|████▊ | 33693/70000 [11:55:26<12:49:26, 1.27s/step] Training: 48%|████▊ | 33694/70000 [11:55:27<12:35:44, 1.25s/step] Training: 48%|████▊ | 33695/70000 [11:55:28<12:24:04, 1.23s/step] Training: 48%|████▊ | 33696/70000 [11:55:29<12:44:06, 1.26s/step] Training: 48%|████▊ | 33697/70000 [11:55:31<12:31:07, 1.24s/step] Training: 48%|████▊ | 33698/70000 [11:55:32<12:32:33, 1.24s/step] Training: 48%|████▊ | 33699/70000 [11:55:33<12:44:27, 1.26s/step] Training: 48%|████▊ | 33700/70000 [11:55:35<12:54:40, 1.28s/step]INFO 2026-03-13 08:05:27 ot_train.py:435 step:34K smpl:2M ep:7K epch:28.56 loss:0.020 grdn:3.237 lr:1.4e-05 updt_s:1.242 data_s:0.019 Training: 48%|████▊ | 33701/70000 [11:55:36<13:03:18, 1.29s/step] Training: 48%|████▊ | 33702/70000 [11:55:37<12:44:44, 1.26s/step] Training: 48%|████▊ | 33703/70000 [11:55:38<12:31:40, 1.24s/step] Training: 48%|████▊ | 33704/70000 [11:55:40<12:54:08, 1.28s/step] Training: 48%|████▊ | 33705/70000 [11:55:41<12:37:34, 1.25s/step] Training: 48%|████▊ | 33706/70000 [11:55:42<12:34:48, 1.25s/step] Training: 48%|████▊ | 33707/70000 [11:55:43<12:51:35, 1.28s/step] Training: 48%|████▊ | 33708/70000 [11:55:45<12:42:26, 1.26s/step] Training: 48%|████▊ | 33709/70000 [11:55:46<12:55:14, 1.28s/step] Training: 48%|████▊ | 33710/70000 [11:55:47<12:37:57, 1.25s/step] Training: 48%|████▊ | 33711/70000 [11:55:48<12:26:06, 1.23s/step] Training: 48%|████▊ | 33712/70000 [11:55:50<12:30:35, 1.24s/step] Training: 48%|████▊ | 33713/70000 [11:55:51<12:22:20, 1.23s/step] Training: 48%|████▊ | 33714/70000 [11:55:52<12:15:06, 1.22s/step] Training: 48%|████▊ | 33715/70000 [11:55:53<12:56:17, 1.28s/step] Training: 48%|████▊ | 33716/70000 [11:55:55<12:40:27, 1.26s/step] Training: 48%|████▊ | 33717/70000 [11:55:56<12:35:14, 1.25s/step] Training: 48%|████▊ | 33718/70000 [11:55:57<12:24:47, 1.23s/step] Training: 48%|████▊ | 33719/70000 [11:55:58<12:16:58, 1.22s/step] Training: 48%|████▊ | 33720/70000 [11:56:00<12:36:06, 1.25s/step] Training: 48%|████▊ | 33721/70000 [11:56:01<12:25:46, 1.23s/step] Training: 48%|████▊ | 33722/70000 [11:56:02<12:42:58, 1.26s/step] Training: 48%|████▊ | 33723/70000 [11:56:04<13:15:58, 1.32s/step] Training: 48%|████▊ | 33724/70000 [11:56:05<13:16:03, 1.32s/step] Training: 48%|████▊ | 33725/70000 [11:56:06<12:56:18, 1.28s/step] Training: 48%|████▊ | 33726/70000 [11:56:07<12:38:35, 1.25s/step] Training: 48%|████▊ | 33727/70000 [11:56:08<12:25:37, 1.23s/step] Training: 48%|████▊ | 33728/70000 [11:56:10<12:43:39, 1.26s/step] Training: 48%|████▊ | 33729/70000 [11:56:11<12:30:49, 1.24s/step] Training: 48%|████▊ | 33730/70000 [11:56:12<12:24:36, 1.23s/step] Training: 48%|████▊ | 33731/70000 [11:56:14<12:51:38, 1.28s/step] Training: 48%|████▊ | 33732/70000 [11:56:15<13:16:59, 1.32s/step] Training: 48%|████▊ | 33733/70000 [11:56:16<13:17:33, 1.32s/step] Training: 48%|████▊ | 33734/70000 [11:56:17<12:53:59, 1.28s/step] Training: 48%|████▊ | 33735/70000 [11:56:19<12:37:37, 1.25s/step] Training: 48%|████▊ | 33736/70000 [11:56:20<12:58:29, 1.29s/step] Training: 48%|████▊ | 33737/70000 [11:56:21<12:40:35, 1.26s/step] Training: 48%|████▊ | 33738/70000 [11:56:22<12:34:02, 1.25s/step] Training: 48%|████▊ | 33739/70000 [11:56:24<12:29:11, 1.24s/step] Training: 48%|████▊ | 33740/70000 [11:56:25<12:48:45, 1.27s/step] Training: 48%|████▊ | 33741/70000 [11:56:26<12:56:13, 1.28s/step] Training: 48%|████▊ | 33742/70000 [11:56:27<12:38:19, 1.25s/step] Training: 48%|████▊ | 33743/70000 [11:56:29<12:26:08, 1.23s/step] Training: 48%|████▊ | 33744/70000 [11:56:30<12:23:04, 1.23s/step] Training: 48%|████▊ | 33745/70000 [11:56:31<12:16:17, 1.22s/step] Training: 48%|████▊ | 33746/70000 [11:56:32<12:11:04, 1.21s/step] Training: 48%|████▊ | 33747/70000 [11:56:34<12:54:02, 1.28s/step] Training: 48%|████▊ | 33748/70000 [11:56:35<13:01:07, 1.29s/step] Training: 48%|████▊ | 33749/70000 [11:56:36<12:47:24, 1.27s/step] Training: 48%|████▊ | 33750/70000 [11:56:37<12:32:48, 1.25s/step] Training: 48%|████▊ | 33751/70000 [11:56:39<12:23:06, 1.23s/step] Training: 48%|████▊ | 33752/70000 [11:56:40<12:42:20, 1.26s/step] Training: 48%|████▊ | 33753/70000 [11:56:41<12:28:45, 1.24s/step] Training: 48%|████▊ | 33754/70000 [11:56:42<12:44:16, 1.27s/step] Training: 48%|████▊ | 33755/70000 [11:56:44<12:57:03, 1.29s/step] Training: 48%|████▊ | 33756/70000 [11:56:45<13:03:13, 1.30s/step] Training: 48%|████▊ | 33757/70000 [11:56:46<13:00:54, 1.29s/step] Training: 48%|████▊ | 33758/70000 [11:56:48<12:41:49, 1.26s/step] Training: 48%|████▊ | 33759/70000 [11:56:49<12:28:54, 1.24s/step] Training: 48%|████▊ | 33760/70000 [11:56:50<12:45:46, 1.27s/step] Training: 48%|████▊ | 33761/70000 [11:56:51<12:31:00, 1.24s/step] Training: 48%|████▊ | 33762/70000 [11:56:53<12:24:30, 1.23s/step] Training: 48%|████▊ | 33763/70000 [11:56:54<12:24:21, 1.23s/step] Training: 48%|████▊ | 33764/70000 [11:56:55<12:58:02, 1.29s/step] Training: 48%|████▊ | 33765/70000 [11:56:57<13:05:06, 1.30s/step] Training: 48%|████▊ | 33766/70000 [11:56:58<12:44:48, 1.27s/step] Training: 48%|████▊ | 33767/70000 [11:56:59<12:30:49, 1.24s/step] Training: 48%|████▊ | 33768/70000 [11:57:00<12:56:36, 1.29s/step] Training: 48%|████▊ | 33769/70000 [11:57:01<12:38:57, 1.26s/step] Training: 48%|████▊ | 33770/70000 [11:57:03<12:34:05, 1.25s/step] Training: 48%|████▊ | 33771/70000 [11:57:04<12:28:09, 1.24s/step] Training: 48%|████▊ | 33772/70000 [11:57:05<12:25:14, 1.23s/step] Training: 48%|████▊ | 33773/70000 [11:57:07<12:59:45, 1.29s/step] Training: 48%|████▊ | 33774/70000 [11:57:08<12:41:23, 1.26s/step] Training: 48%|████▊ | 33775/70000 [11:57:09<12:29:30, 1.24s/step] Training: 48%|████▊ | 33776/70000 [11:57:10<12:22:40, 1.23s/step] Training: 48%|████▊ | 33777/70000 [11:57:11<12:39:35, 1.26s/step] Training: 48%|████▊ | 33778/70000 [11:57:13<12:27:30, 1.24s/step] Training: 48%|████▊ | 33779/70000 [11:57:14<13:03:59, 1.30s/step] Training: 48%|████▊ | 33780/70000 [11:57:15<13:07:32, 1.30s/step] Training: 48%|████▊ | 33781/70000 [11:57:17<13:02:08, 1.30s/step] Training: 48%|████▊ | 33782/70000 [11:57:18<12:42:20, 1.26s/step] Training: 48%|████▊ | 33783/70000 [11:57:19<12:28:44, 1.24s/step] Training: 48%|████▊ | 33784/70000 [11:57:20<12:45:05, 1.27s/step] Training: 48%|████▊ | 33785/70000 [11:57:22<12:54:44, 1.28s/step] Training: 48%|████▊ | 33786/70000 [11:57:23<13:02:11, 1.30s/step] Training: 48%|████▊ | 33787/70000 [11:57:24<13:07:15, 1.30s/step] Training: 48%|████▊ | 33788/70000 [11:57:26<13:10:41, 1.31s/step] Training: 48%|████▊ | 33789/70000 [11:57:27<12:51:55, 1.28s/step] Training: 48%|████▊ | 33790/70000 [11:57:28<13:03:42, 1.30s/step] Training: 48%|████▊ | 33791/70000 [11:57:29<12:42:16, 1.26s/step] Training: 48%|████▊ | 33792/70000 [11:57:31<12:53:14, 1.28s/step] Training: 48%|████▊ | 33793/70000 [11:57:32<12:36:09, 1.25s/step] Training: 48%|████▊ | 33794/70000 [11:57:33<12:29:52, 1.24s/step] Training: 48%|████▊ | 33795/70000 [11:57:34<12:26:12, 1.24s/step] Training: 48%|████▊ | 33796/70000 [11:57:36<12:43:32, 1.27s/step] Training: 48%|████▊ | 33797/70000 [11:57:37<13:00:39, 1.29s/step] Training: 48%|████▊ | 33798/70000 [11:57:38<12:40:07, 1.26s/step] Training: 48%|████▊ | 33799/70000 [11:57:39<12:27:16, 1.24s/step] Training: 48%|████▊ | 33800/70000 [11:57:41<12:27:00, 1.24s/step]INFO 2026-03-13 08:07:33 ot_train.py:435 step:34K smpl:2M ep:7K epch:28.65 loss:0.020 grdn:2.474 lr:1.4e-05 updt_s:1.240 data_s:0.019 Training: 48%|████▊ | 33801/70000 [11:57:42<12:38:05, 1.26s/step] Training: 48%|████▊ | 33802/70000 [11:57:43<12:33:33, 1.25s/step] Training: 48%|████▊ | 33803/70000 [11:57:44<12:28:41, 1.24s/step] Training: 48%|████▊ | 33804/70000 [11:57:46<12:45:00, 1.27s/step] Training: 48%|████▊ | 33805/70000 [11:57:47<12:54:51, 1.28s/step] Training: 48%|████▊ | 33806/70000 [11:57:48<13:05:16, 1.30s/step] Training: 48%|████▊ | 33807/70000 [11:57:50<12:43:10, 1.27s/step] Training: 48%|████▊ | 33808/70000 [11:57:51<12:32:31, 1.25s/step] Training: 48%|████▊ | 33809/70000 [11:57:52<12:47:52, 1.27s/step] Training: 48%|████▊ | 33810/70000 [11:57:53<12:32:56, 1.25s/step] Training: 48%|████▊ | 33811/70000 [11:57:55<13:03:18, 1.30s/step] Training: 48%|████▊ | 33812/70000 [11:57:56<13:08:37, 1.31s/step] Training: 48%|████▊ | 33813/70000 [11:57:57<12:56:10, 1.29s/step] Training: 48%|████▊ | 33814/70000 [11:57:59<13:05:55, 1.30s/step] Training: 48%|████▊ | 33815/70000 [11:58:00<12:45:50, 1.27s/step] Training: 48%|████▊ | 33816/70000 [11:58:01<12:55:08, 1.29s/step] Training: 48%|████▊ | 33817/70000 [11:58:02<12:42:31, 1.26s/step] Training: 48%|████▊ | 33818/70000 [11:58:04<12:55:40, 1.29s/step] Training: 48%|████▊ | 33819/70000 [11:58:05<13:03:16, 1.30s/step] Training: 48%|████▊ | 33820/70000 [11:58:06<13:06:36, 1.30s/step] Training: 48%|████▊ | 33821/70000 [11:58:08<12:53:27, 1.28s/step] Training: 48%|████▊ | 33822/70000 [11:58:09<12:36:14, 1.25s/step] Training: 48%|████▊ | 33823/70000 [11:58:10<12:25:05, 1.24s/step] Training: 48%|████▊ | 33824/70000 [11:58:11<12:41:11, 1.26s/step] Training: 48%|████▊ | 33825/70000 [11:58:13<12:53:28, 1.28s/step] Training: 48%|████▊ | 33826/70000 [11:58:14<12:38:45, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=18100 Training: 48%|████▊ | 33827/70000 [11:58:15<12:32:31, 1.25s/step] Training: 48%|████▊ | 33828/70000 [11:58:16<12:25:02, 1.24s/step] Training: 48%|████▊ | 33829/70000 [11:58:17<12:16:21, 1.22s/step] Training: 48%|████▊ | 33830/70000 [11:58:19<12:34:18, 1.25s/step] Training: 48%|████▊ | 33831/70000 [11:58:20<12:23:22, 1.23s/step] Training: 48%|████▊ | 33832/70000 [11:58:21<12:22:23, 1.23s/step] Training: 48%|████▊ | 33833/70000 [11:58:23<12:41:05, 1.26s/step] Training: 48%|████▊ | 33834/70000 [11:58:24<12:35:12, 1.25s/step] Training: 48%|████▊ | 33835/70000 [11:58:25<12:25:31, 1.24s/step] Training: 48%|████▊ | 33836/70000 [11:58:26<12:50:53, 1.28s/step] Training: 48%|████▊ | 33837/70000 [11:58:28<12:59:45, 1.29s/step] Training: 48%|████▊ | 33838/70000 [11:58:29<12:49:09, 1.28s/step] Training: 48%|████▊ | 33839/70000 [11:58:30<12:31:29, 1.25s/step] Training: 48%|████▊ | 33840/70000 [11:58:31<12:27:00, 1.24s/step] Training: 48%|████▊ | 33841/70000 [11:58:33<12:42:52, 1.27s/step] Training: 48%|████▊ | 33842/70000 [11:58:34<12:29:27, 1.24s/step] Training: 48%|████▊ | 33843/70000 [11:58:35<13:02:11, 1.30s/step] Training: 48%|████▊ | 33844/70000 [11:58:37<13:07:13, 1.31s/step] Training: 48%|████▊ | 33845/70000 [11:58:38<12:49:27, 1.28s/step] Training: 48%|████▊ | 33846/70000 [11:58:39<12:32:02, 1.25s/step] Training: 48%|████▊ | 33847/70000 [11:58:40<12:51:29, 1.28s/step] Training: 48%|████▊ | 33848/70000 [11:58:42<12:58:15, 1.29s/step] Training: 48%|████▊ | 33849/70000 [11:58:43<12:44:13, 1.27s/step] Training: 48%|████▊ | 33850/70000 [11:58:44<12:30:35, 1.25s/step] Training: 48%|████▊ | 33851/70000 [11:58:45<12:44:23, 1.27s/step] Training: 48%|████▊ | 33852/70000 [11:58:47<12:54:20, 1.29s/step] Training: 48%|████▊ | 33853/70000 [11:58:48<13:00:42, 1.30s/step] Training: 48%|████▊ | 33854/70000 [11:58:49<12:42:49, 1.27s/step] Training: 48%|████▊ | 33855/70000 [11:58:51<12:55:57, 1.29s/step] Training: 48%|████▊ | 33856/70000 [11:58:52<13:02:14, 1.30s/step] Training: 48%|████▊ | 33857/70000 [11:58:53<12:42:54, 1.27s/step] Training: 48%|████▊ | 33858/70000 [11:58:54<12:54:05, 1.29s/step] Training: 48%|████▊ | 33859/70000 [11:58:56<12:44:33, 1.27s/step] Training: 48%|████▊ | 33860/70000 [11:58:57<12:54:21, 1.29s/step] Training: 48%|████▊ | 33861/70000 [11:58:58<12:59:32, 1.29s/step] Training: 48%|████▊ | 33862/70000 [11:59:00<13:01:32, 1.30s/step] Training: 48%|████▊ | 33863/70000 [11:59:01<13:13:58, 1.32s/step] Training: 48%|████▊ | 33864/70000 [11:59:02<12:48:36, 1.28s/step] Training: 48%|████▊ | 33865/70000 [11:59:03<12:32:51, 1.25s/step] Training: 48%|████▊ | 33866/70000 [11:59:05<12:39:47, 1.26s/step] Training: 48%|████▊ | 33867/70000 [11:59:06<12:31:04, 1.25s/step] Training: 48%|████▊ | 33868/70000 [11:59:07<12:52:28, 1.28s/step] Training: 48%|████▊ | 33869/70000 [11:59:08<13:01:04, 1.30s/step] Training: 48%|████▊ | 33870/70000 [11:59:10<12:41:17, 1.26s/step] Training: 48%|████▊ | 33871/70000 [11:59:11<12:57:51, 1.29s/step] Training: 48%|████▊ | 33872/70000 [11:59:12<12:40:59, 1.26s/step] Training: 48%|████▊ | 33873/70000 [11:59:13<12:27:48, 1.24s/step] Training: 48%|████▊ | 33874/70000 [11:59:15<12:43:39, 1.27s/step] Training: 48%|████▊ | 33875/70000 [11:59:16<12:54:59, 1.29s/step] Training: 48%|████▊ | 33876/70000 [11:59:17<13:03:03, 1.30s/step] Training: 48%|████▊ | 33877/70000 [11:59:19<12:45:40, 1.27s/step] Training: 48%|████▊ | 33878/70000 [11:59:20<12:30:58, 1.25s/step] Training: 48%|████▊ | 33879/70000 [11:59:21<12:20:53, 1.23s/step] Training: 48%|████▊ | 33880/70000 [11:59:22<12:54:29, 1.29s/step] Training: 48%|████▊ | 33881/70000 [11:59:24<12:37:48, 1.26s/step] Training: 48%|████▊ | 33882/70000 [11:59:25<12:51:38, 1.28s/step] Training: 48%|████▊ | 33883/70000 [11:59:26<13:01:07, 1.30s/step] Training: 48%|████▊ | 33884/70000 [11:59:28<13:13:10, 1.32s/step] Training: 48%|████▊ | 33885/70000 [11:59:29<12:56:55, 1.29s/step] Training: 48%|████▊ | 33886/70000 [11:59:30<12:38:23, 1.26s/step] Training: 48%|████▊ | 33887/70000 [11:59:31<12:26:16, 1.24s/step] Training: 48%|████▊ | 33888/70000 [11:59:33<12:58:26, 1.29s/step] Training: 48%|████▊ | 33889/70000 [11:59:34<12:39:53, 1.26s/step] Training: 48%|████▊ | 33890/70000 [11:59:35<12:58:54, 1.29s/step] Training: 48%|████▊ | 33891/70000 [11:59:36<12:45:54, 1.27s/step] Training: 48%|████▊ | 33892/70000 [11:59:38<12:55:31, 1.29s/step] Training: 48%|████▊ | 33893/70000 [11:59:39<12:37:40, 1.26s/step] Training: 48%|████▊ | 33894/70000 [11:59:40<12:47:31, 1.28s/step] Training: 48%|████▊ | 33895/70000 [11:59:41<12:32:58, 1.25s/step] Training: 48%|████▊ | 33896/70000 [11:59:43<12:30:05, 1.25s/step] Training: 48%|████▊ | 33897/70000 [11:59:44<12:20:12, 1.23s/step] Training: 48%|████▊ | 33898/70000 [11:59:45<12:18:23, 1.23s/step] Training: 48%|████▊ | 33899/70000 [11:59:46<12:13:59, 1.22s/step] Training: 48%|████▊ | 33900/70000 [11:59:48<12:38:42, 1.26s/step]INFO 2026-03-13 08:09:40 ot_train.py:435 step:34K smpl:2M ep:7K epch:28.73 loss:0.021 grdn:4.179 lr:1.4e-05 updt_s:1.249 data_s:0.019 Training: 48%|████▊ | 33901/70000 [11:59:49<12:25:47, 1.24s/step] Training: 48%|████▊ | 33902/70000 [11:59:50<12:16:10, 1.22s/step] Training: 48%|████▊ | 33903/70000 [11:59:51<12:09:13, 1.21s/step] Training: 48%|████▊ | 33904/70000 [11:59:53<12:22:06, 1.23s/step] Training: 48%|████▊ | 33905/70000 [11:59:54<12:15:20, 1.22s/step] Training: 48%|████▊ | 33906/70000 [11:59:55<12:34:12, 1.25s/step] Training: 48%|████▊ | 33907/70000 [11:59:56<12:23:20, 1.24s/step] Training: 48%|████▊ | 33908/70000 [11:59:58<12:58:41, 1.29s/step] Training: 48%|████▊ | 33909/70000 [11:59:59<12:46:56, 1.28s/step] Training: 48%|████▊ | 33910/70000 [12:00:00<12:32:24, 1.25s/step] Training: 48%|████▊ | 33911/70000 [12:00:01<12:20:25, 1.23s/step] Training: 48%|████▊ | 33912/70000 [12:00:03<12:38:01, 1.26s/step] Training: 48%|████▊ | 33913/70000 [12:00:04<12:57:08, 1.29s/step] Training: 48%|████▊ | 33914/70000 [12:00:05<13:02:36, 1.30s/step] Training: 48%|████▊ | 33915/70000 [12:00:07<12:42:45, 1.27s/step] Training: 48%|████▊ | 33916/70000 [12:00:08<13:04:51, 1.31s/step] Training: 48%|████▊ | 33917/70000 [12:00:09<12:50:19, 1.28s/step] Training: 48%|████▊ | 33918/70000 [12:00:10<12:34:10, 1.25s/step] Training: 48%|████▊ | 33919/70000 [12:00:12<12:26:04, 1.24s/step] Training: 48%|████▊ | 33920/70000 [12:00:13<12:44:20, 1.27s/step] Training: 48%|████▊ | 33921/70000 [12:00:14<12:41:15, 1.27s/step] Training: 48%|████▊ | 33922/70000 [12:00:15<12:33:50, 1.25s/step] Training: 48%|████▊ | 33923/70000 [12:00:17<12:22:07, 1.23s/step] Training: 48%|████▊ | 33924/70000 [12:00:18<12:39:26, 1.26s/step] Training: 48%|████▊ | 33925/70000 [12:00:19<12:52:10, 1.28s/step] Training: 48%|████▊ | 33926/70000 [12:00:20<12:35:50, 1.26s/step] Training: 48%|████▊ | 33927/70000 [12:00:22<12:23:04, 1.24s/step] Training: 48%|████▊ | 33928/70000 [12:00:23<12:24:37, 1.24s/step] Training: 48%|████▊ | 33929/70000 [12:00:24<12:26:54, 1.24s/step] Training: 48%|████▊ | 33930/70000 [12:00:25<12:21:40, 1.23s/step] Training: 48%|████▊ | 33931/70000 [12:00:26<12:13:59, 1.22s/step] Training: 48%|████▊ | 33932/70000 [12:00:28<12:38:28, 1.26s/step] Training: 48%|████▊ | 33933/70000 [12:00:29<12:49:44, 1.28s/step] Training: 48%|████▊ | 33934/70000 [12:00:30<12:33:17, 1.25s/step] Training: 48%|████▊ | 33935/70000 [12:00:32<12:21:40, 1.23s/step] Training: 48%|████▊ | 33936/70000 [12:00:33<12:17:30, 1.23s/step] Training: 48%|████▊ | 33937/70000 [12:00:34<12:11:37, 1.22s/step] Training: 48%|████▊ | 33938/70000 [12:00:35<12:47:08, 1.28s/step] Training: 48%|████▊ | 33939/70000 [12:00:37<12:32:11, 1.25s/step] Training: 48%|████▊ | 33940/70000 [12:00:38<12:44:56, 1.27s/step] Training: 48%|████▊ | 33941/70000 [12:00:39<12:38:06, 1.26s/step] Training: 48%|████▊ | 33942/70000 [12:00:40<12:26:02, 1.24s/step] Training: 48%|████▊ | 33943/70000 [12:00:41<12:16:08, 1.22s/step] Training: 48%|████▊ | 33944/70000 [12:00:43<12:40:46, 1.27s/step] Training: 48%|████▊ | 33945/70000 [12:00:44<12:25:28, 1.24s/step] Training: 48%|████▊ | 33946/70000 [12:00:45<12:58:24, 1.30s/step] Training: 48%|████▊ | 33947/70000 [12:00:47<12:39:24, 1.26s/step] Training: 48%|████▊ | 33948/70000 [12:00:48<12:58:04, 1.29s/step] Training: 48%|████▊ | 33949/70000 [12:00:49<12:44:02, 1.27s/step] Training: 48%|████▊ | 33950/70000 [12:00:50<12:29:32, 1.25s/step] Training: 49%|████▊ | 33951/70000 [12:00:52<12:18:58, 1.23s/step] Training: 49%|████▊ | 33952/70000 [12:00:53<12:36:46, 1.26s/step] Training: 49%|████▊ | 33953/70000 [12:00:54<12:25:06, 1.24s/step] Training: 49%|████▊ | 33954/70000 [12:00:56<12:53:11, 1.29s/step] Training: 49%|████▊ | 33955/70000 [12:00:57<12:33:50, 1.25s/step] Training: 49%|████▊ | 33956/70000 [12:00:58<12:46:24, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=68616 Training: 49%|████▊ | 33957/70000 [12:00:59<12:56:01, 1.29s/step] Training: 49%|████▊ | 33958/70000 [12:01:01<12:37:14, 1.26s/step] Training: 49%|████▊ | 33959/70000 [12:01:02<12:24:34, 1.24s/step] Training: 49%|████▊ | 33960/70000 [12:01:03<12:23:59, 1.24s/step] Training: 49%|████▊ | 33961/70000 [12:01:04<12:14:46, 1.22s/step] Training: 49%|████▊ | 33962/70000 [12:01:06<12:38:43, 1.26s/step] Training: 49%|████▊ | 33963/70000 [12:01:07<12:23:21, 1.24s/step] Training: 49%|████▊ | 33964/70000 [12:01:08<12:47:14, 1.28s/step] Training: 49%|████▊ | 33965/70000 [12:01:09<12:55:04, 1.29s/step] Training: 49%|████▊ | 33966/70000 [12:01:11<12:37:59, 1.26s/step] Training: 49%|████▊ | 33967/70000 [12:01:12<12:24:28, 1.24s/step] Training: 49%|████▊ | 33968/70000 [12:01:13<12:18:27, 1.23s/step] Training: 49%|████▊ | 33969/70000 [12:01:14<12:10:59, 1.22s/step] Training: 49%|████▊ | 33970/70000 [12:01:15<12:30:10, 1.25s/step] Training: 49%|████▊ | 33971/70000 [12:01:17<12:46:29, 1.28s/step] Training: 49%|████▊ | 33972/70000 [12:01:18<12:55:21, 1.29s/step] Training: 49%|████▊ | 33973/70000 [12:01:19<12:43:36, 1.27s/step] Training: 49%|████▊ | 33974/70000 [12:01:21<12:29:31, 1.25s/step] Training: 49%|████▊ | 33975/70000 [12:01:22<12:17:11, 1.23s/step] Training: 49%|████▊ | 33976/70000 [12:01:23<12:35:24, 1.26s/step] Training: 49%|████▊ | 33977/70000 [12:01:24<12:23:10, 1.24s/step] Training: 49%|████▊ | 33978/70000 [12:01:26<12:37:16, 1.26s/step] Training: 49%|████▊ | 33979/70000 [12:01:27<12:51:23, 1.28s/step] Training: 49%|████▊ | 33980/70000 [12:01:28<12:42:27, 1.27s/step] Training: 49%|████▊ | 33981/70000 [12:01:29<12:51:53, 1.29s/step] Training: 49%|████▊ | 33982/70000 [12:01:31<12:36:40, 1.26s/step] Training: 49%|████▊ | 33983/70000 [12:01:32<12:23:51, 1.24s/step] Training: 49%|████▊ | 33984/70000 [12:01:33<12:15:03, 1.22s/step] Training: 49%|████▊ | 33985/70000 [12:01:34<12:32:00, 1.25s/step] Training: 49%|████▊ | 33986/70000 [12:01:36<12:54:21, 1.29s/step] Training: 49%|████▊ | 33987/70000 [12:01:37<13:02:38, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=25651 Training: 49%|████▊ | 33988/70000 [12:01:38<13:05:48, 1.31s/step] Training: 49%|████▊ | 33989/70000 [12:01:40<13:08:51, 1.31s/step] Training: 49%|████▊ | 33990/70000 [12:01:41<12:45:51, 1.28s/step] Training: 49%|████▊ | 33991/70000 [12:01:42<12:30:27, 1.25s/step] Training: 49%|████▊ | 33992/70000 [12:01:43<12:20:19, 1.23s/step] Training: 49%|████▊ | 33993/70000 [12:01:45<12:34:02, 1.26s/step] Training: 49%|████▊ | 33994/70000 [12:01:46<12:45:08, 1.28s/step] Training: 49%|████▊ | 33995/70000 [12:01:47<12:59:49, 1.30s/step] Training: 49%|████▊ | 33996/70000 [12:01:49<13:06:45, 1.31s/step] Training: 49%|████▊ | 33997/70000 [12:01:50<13:10:03, 1.32s/step] Training: 49%|████▊ | 33998/70000 [12:01:51<12:47:37, 1.28s/step] Training: 49%|████▊ | 33999/70000 [12:01:52<12:31:09, 1.25s/step] Training: 49%|████▊ | 34000/70000 [12:01:54<12:20:15, 1.23s/step]INFO 2026-03-13 08:11:46 ot_train.py:435 step:34K smpl:2M ep:7K epch:28.82 loss:0.019 grdn:2.905 lr:1.4e-05 updt_s:1.238 data_s:0.019 Training: 49%|████▊ | 34001/70000 [12:01:55<12:12:30, 1.22s/step] Training: 49%|████▊ | 34002/70000 [12:01:56<12:11:09, 1.22s/step] Training: 49%|████▊ | 34003/70000 [12:01:57<12:26:40, 1.24s/step] Training: 49%|████▊ | 34004/70000 [12:01:59<12:39:28, 1.27s/step] Training: 49%|████▊ | 34005/70000 [12:02:00<12:32:34, 1.25s/step] Training: 49%|████▊ | 34006/70000 [12:02:01<12:20:39, 1.23s/step] Training: 49%|████▊ | 34007/70000 [12:02:02<12:11:48, 1.22s/step] Training: 49%|████▊ | 34008/70000 [12:02:03<12:06:00, 1.21s/step] Training: 49%|████▊ | 34009/70000 [12:02:05<12:25:12, 1.24s/step] Training: 49%|████▊ | 34010/70000 [12:02:06<12:41:05, 1.27s/step] Training: 49%|████▊ | 34011/70000 [12:02:07<12:26:47, 1.25s/step] Training: 49%|████▊ | 34012/70000 [12:02:09<12:46:13, 1.28s/step] Training: 49%|████▊ | 34013/70000 [12:02:10<12:44:29, 1.27s/step] Training: 49%|████▊ | 34014/70000 [12:02:11<12:29:25, 1.25s/step] Training: 49%|████▊ | 34015/70000 [12:02:12<12:18:26, 1.23s/step] Training: 49%|████▊ | 34016/70000 [12:02:13<12:10:54, 1.22s/step] Training: 49%|████▊ | 34017/70000 [12:02:15<12:30:04, 1.25s/step] Training: 49%|████▊ | 34018/70000 [12:02:16<12:50:20, 1.28s/step] Training: 49%|████▊ | 34019/70000 [12:02:17<12:33:38, 1.26s/step] Training: 49%|████▊ | 34020/70000 [12:02:19<12:46:48, 1.28s/step] Training: 49%|████▊ | 34021/70000 [12:02:20<12:54:34, 1.29s/step] Training: 49%|████▊ | 34022/70000 [12:02:21<12:35:31, 1.26s/step] Training: 49%|████▊ | 34023/70000 [12:02:22<12:23:19, 1.24s/step] Training: 49%|████▊ | 34024/70000 [12:02:23<12:14:54, 1.23s/step] Training: 49%|████▊ | 34025/70000 [12:02:25<12:11:41, 1.22s/step] Training: 49%|████▊ | 34026/70000 [12:02:26<12:36:23, 1.26s/step] Training: 49%|████▊ | 34027/70000 [12:02:27<12:22:16, 1.24s/step] Training: 49%|████▊ | 34028/70000 [12:02:29<12:50:01, 1.28s/step] Training: 49%|████▊ | 34029/70000 [12:02:30<12:55:56, 1.29s/step] Training: 49%|████▊ | 34030/70000 [12:02:31<12:36:57, 1.26s/step] Training: 49%|████▊ | 34031/70000 [12:02:32<12:24:17, 1.24s/step] Training: 49%|████▊ | 34032/70000 [12:02:34<12:13:59, 1.22s/step] Training: 49%|████▊ | 34033/70000 [12:02:35<12:32:00, 1.25s/step] Training: 49%|████▊ | 34034/70000 [12:02:36<12:45:37, 1.28s/step] Training: 49%|████▊ | 34035/70000 [12:02:37<12:30:04, 1.25s/step] Training: 49%|████▊ | 34036/70000 [12:02:39<12:43:44, 1.27s/step] Training: 49%|████▊ | 34037/70000 [12:02:40<12:57:37, 1.30s/step] Training: 49%|████▊ | 34038/70000 [12:02:41<12:35:54, 1.26s/step] Training: 49%|████▊ | 34039/70000 [12:02:42<12:22:55, 1.24s/step] Training: 49%|████▊ | 34040/70000 [12:02:44<12:14:03, 1.22s/step] Training: 49%|████▊ | 34041/70000 [12:02:45<12:32:08, 1.25s/step] Training: 49%|████▊ | 34042/70000 [12:02:46<12:45:53, 1.28s/step] Training: 49%|████▊ | 34043/70000 [12:02:47<12:29:59, 1.25s/step] Training: 49%|████▊ | 34044/70000 [12:02:49<12:53:05, 1.29s/step] Training: 49%|████▊ | 34045/70000 [12:02:50<13:06:33, 1.31s/step] Training: 49%|████▊ | 34046/70000 [12:02:51<12:42:13, 1.27s/step] Training: 49%|████▊ | 34047/70000 [12:02:53<12:27:14, 1.25s/step] Training: 49%|████▊ | 34048/70000 [12:02:54<12:17:28, 1.23s/step] Training: 49%|████▊ | 34049/70000 [12:02:55<12:35:00, 1.26s/step] Training: 49%|████▊ | 34050/70000 [12:02:56<12:56:06, 1.30s/step] Training: 49%|████▊ | 34051/70000 [12:02:58<12:37:09, 1.26s/step] Training: 49%|████▊ | 34052/70000 [12:02:59<12:48:23, 1.28s/step] Training: 49%|████▊ | 34053/70000 [12:03:00<12:55:31, 1.29s/step] Training: 49%|████▊ | 34054/70000 [12:03:01<12:36:28, 1.26s/step] Training: 49%|████▊ | 34055/70000 [12:03:03<12:22:52, 1.24s/step] Training: 49%|████▊ | 34056/70000 [12:03:04<12:14:04, 1.23s/step] Training: 49%|████▊ | 34057/70000 [12:03:05<12:12:41, 1.22s/step] Training: 49%|████▊ | 34058/70000 [12:03:06<12:32:16, 1.26s/step] Training: 49%|████▊ | 34059/70000 [12:03:08<12:19:48, 1.24s/step] Training: 49%|████▊ | 34060/70000 [12:03:09<12:42:26, 1.27s/step] Training: 49%|████▊ | 34061/70000 [12:03:10<12:56:06, 1.30s/step] Training: 49%|████▊ | 34062/70000 [12:03:11<12:36:15, 1.26s/step] Training: 49%|████▊ | 34063/70000 [12:03:13<12:23:10, 1.24s/step] Training: 49%|████▊ | 34064/70000 [12:03:14<12:14:26, 1.23s/step] Training: 49%|████▊ | 34065/70000 [12:03:15<12:33:27, 1.26s/step] Training: 49%|████▊ | 34066/70000 [12:03:17<12:48:39, 1.28s/step] Training: 49%|████▊ | 34067/70000 [12:03:18<12:31:53, 1.26s/step] Training: 49%|████▊ | 34068/70000 [12:03:19<12:46:32, 1.28s/step] Training: 49%|████▊ | 34069/70000 [12:03:20<12:50:51, 1.29s/step] Training: 49%|████▊ | 34070/70000 [12:03:22<12:31:24, 1.25s/step] Training: 49%|████▊ | 34071/70000 [12:03:23<12:19:36, 1.24s/step] Training: 49%|████▊ | 34072/70000 [12:03:24<12:11:42, 1.22s/step] Training: 49%|████▊ | 34073/70000 [12:03:25<12:31:12, 1.25s/step] Training: 49%|████▊ | 34074/70000 [12:03:27<12:44:30, 1.28s/step] Training: 49%|████▊ | 34075/70000 [12:03:28<12:29:07, 1.25s/step] Training: 49%|████▊ | 34076/70000 [12:03:29<12:50:41, 1.29s/step] Training: 49%|████▊ | 34077/70000 [12:03:30<12:37:08, 1.26s/step] Training: 49%|████▊ | 34078/70000 [12:03:32<12:50:41, 1.29s/step] Training: 49%|████▊ | 34079/70000 [12:03:33<12:31:49, 1.26s/step] Training: 49%|████▊ | 34080/70000 [12:03:34<12:19:31, 1.24s/step] Training: 49%|████▊ | 34081/70000 [12:03:35<12:36:29, 1.26s/step] Training: 49%|████▊ | 34082/70000 [12:03:37<12:57:09, 1.30s/step] Training: 49%|████▊ | 34083/70000 [12:03:38<12:37:33, 1.27s/step] Training: 49%|████▊ | 34084/70000 [12:03:39<12:29:39, 1.25s/step] Training: 49%|████▊ | 34085/70000 [12:03:41<12:57:30, 1.30s/step] Training: 49%|████▊ | 34086/70000 [12:03:42<12:51:42, 1.29s/step] Training: 49%|████▊ | 34087/70000 [12:03:43<12:33:55, 1.26s/step] Training: 49%|████▊ | 34088/70000 [12:03:44<12:20:36, 1.24s/step] Training: 49%|████▊ | 34089/70000 [12:03:45<12:15:27, 1.23s/step] Training: 49%|████▊ | 34090/70000 [12:03:47<12:33:35, 1.26s/step] Training: 49%|████▊ | 34091/70000 [12:03:48<12:21:34, 1.24s/step] Training: 49%|████▊ | 34092/70000 [12:03:49<12:39:29, 1.27s/step] Training: 49%|████▊ | 34093/70000 [12:03:51<13:06:12, 1.31s/step] Training: 49%|████▊ | 34094/70000 [12:03:52<12:43:50, 1.28s/step] Training: 49%|████▊ | 34095/70000 [12:03:53<12:55:08, 1.30s/step] Training: 49%|████▊ | 34096/70000 [12:03:54<12:34:29, 1.26s/step] Training: 49%|████▊ | 34097/70000 [12:03:56<12:47:55, 1.28s/step] Training: 49%|████▊ | 34098/70000 [12:03:57<12:56:50, 1.30s/step] Training: 49%|████▊ | 34099/70000 [12:03:58<12:37:23, 1.27s/step] Training: 49%|████▊ | 34100/70000 [12:04:00<12:49:49, 1.29s/step]INFO 2026-03-13 08:13:52 ot_train.py:435 step:34K smpl:2M ep:7K epch:28.90 loss:0.020 grdn:3.928 lr:1.4e-05 updt_s:1.240 data_s:0.019 Training: 49%|████▊ | 34101/70000 [12:04:01<12:41:54, 1.27s/step] Training: 49%|████▊ | 34102/70000 [12:04:02<12:58:00, 1.30s/step] Training: 49%|████▊ | 34103/70000 [12:04:03<12:37:15, 1.27s/step] Training: 49%|████▊ | 34104/70000 [12:04:05<12:23:54, 1.24s/step] Training: 49%|████▊ | 34105/70000 [12:04:06<12:38:49, 1.27s/step] Training: 49%|████▊ | 34106/70000 [12:04:07<12:50:06, 1.29s/step] Training: 49%|████▊ | 34107/70000 [12:04:08<12:32:51, 1.26s/step] Training: 49%|████▊ | 34108/70000 [12:04:10<12:31:03, 1.26s/step] Training: 49%|████▊ | 34109/70000 [12:04:11<12:40:08, 1.27s/step] Training: 49%|████▊ | 34110/70000 [12:04:12<12:25:00, 1.25s/step] Training: 49%|████▊ | 34111/70000 [12:04:14<12:43:59, 1.28s/step] Training: 49%|████▊ | 34112/70000 [12:04:15<12:26:55, 1.25s/step] Training: 49%|████▊ | 34113/70000 [12:04:16<12:40:14, 1.27s/step] Training: 49%|████▊ | 34114/70000 [12:04:17<13:00:31, 1.31s/step] Training: 49%|████▊ | 34115/70000 [12:04:19<12:40:09, 1.27s/step] Training: 49%|████▊ | 34116/70000 [12:04:20<12:31:43, 1.26s/step] Training: 49%|████▊ | 34117/70000 [12:04:21<12:46:38, 1.28s/step] Training: 49%|████▊ | 34118/70000 [12:04:22<12:30:39, 1.26s/step] Training: 49%|████▊ | 34119/70000 [12:04:24<12:45:21, 1.28s/step] Training: 49%|████▊ | 34120/70000 [12:04:25<12:27:10, 1.25s/step] Training: 49%|████▊ | 34121/70000 [12:04:26<12:19:22, 1.24s/step] Training: 49%|████▊ | 34122/70000 [12:04:27<12:35:14, 1.26s/step] Training: 49%|████▊ | 34123/70000 [12:04:29<12:23:35, 1.24s/step] Training: 49%|████▊ | 34124/70000 [12:04:30<12:13:21, 1.23s/step] Training: 49%|████▉ | 34125/70000 [12:04:31<12:57:32, 1.30s/step] Training: 49%|████▉ | 34126/70000 [12:04:33<12:38:17, 1.27s/step] Training: 49%|████▉ | 34127/70000 [12:04:34<12:23:25, 1.24s/step] Training: 49%|████▉ | 34128/70000 [12:04:35<12:14:17, 1.23s/step] Training: 49%|████▉ | 34129/70000 [12:04:36<12:31:04, 1.26s/step] Training: 49%|████▉ | 34130/70000 [12:04:38<12:45:57, 1.28s/step] Training: 49%|████▉ | 34131/70000 [12:04:39<12:30:30, 1.26s/step] Training: 49%|████▉ | 34132/70000 [12:04:40<12:43:32, 1.28s/step] Training: 49%|████▉ | 34133/70000 [12:04:41<13:03:33, 1.31s/step] Training: 49%|████▉ | 34134/70000 [12:04:43<12:42:14, 1.28s/step] Training: 49%|████▉ | 34135/70000 [12:04:44<12:37:52, 1.27s/step] Training: 49%|████▉ | 34136/70000 [12:04:45<12:22:18, 1.24s/step] Training: 49%|████▉ | 34137/70000 [12:04:46<12:37:27, 1.27s/step] Training: 49%|████▉ | 34138/70000 [12:04:48<12:48:43, 1.29s/step] Training: 49%|████▉ | 34139/70000 [12:04:49<12:32:37, 1.26s/step] Training: 49%|████▉ | 34140/70000 [12:04:50<12:27:00, 1.25s/step] Training: 49%|████▉ | 34141/70000 [12:04:51<12:41:40, 1.27s/step] Training: 49%|████▉ | 34142/70000 [12:04:53<12:27:33, 1.25s/step] Training: 49%|████▉ | 34143/70000 [12:04:54<12:25:56, 1.25s/step] Training: 49%|████▉ | 34144/70000 [12:04:55<12:13:27, 1.23s/step] Training: 49%|████▉ | 34145/70000 [12:04:56<12:32:36, 1.26s/step] Training: 49%|████▉ | 34146/70000 [12:04:58<12:53:44, 1.29s/step] Training: 49%|████▉ | 34147/70000 [12:04:59<12:35:14, 1.26s/step] Training: 49%|████▉ | 34148/70000 [12:05:00<12:30:28, 1.26s/step] Training: 49%|████▉ | 34149/70000 [12:05:02<12:42:31, 1.28s/step] Training: 49%|████▉ | 34150/70000 [12:05:03<12:50:04, 1.29s/step] Training: 49%|████▉ | 34151/70000 [12:05:04<12:31:52, 1.26s/step] Training: 49%|████▉ | 34152/70000 [12:05:05<12:46:01, 1.28s/step] Training: 49%|████▉ | 34153/70000 [12:05:07<12:31:36, 1.26s/step] Training: 49%|████▉ | 34154/70000 [12:05:08<12:44:09, 1.28s/step] Training: 49%|████▉ | 34155/70000 [12:05:09<12:28:32, 1.25s/step] Training: 49%|████▉ | 34156/70000 [12:05:10<12:42:07, 1.28s/step] Training: 49%|████▉ | 34157/70000 [12:05:12<12:32:45, 1.26s/step] Training: 49%|████▉ | 34158/70000 [12:05:13<12:29:57, 1.26s/step] Training: 49%|████▉ | 34159/70000 [12:05:14<12:19:53, 1.24s/step] Training: 49%|████▉ | 34160/70000 [12:05:15<12:28:29, 1.25s/step] Training: 49%|████▉ | 34161/70000 [12:05:17<12:42:24, 1.28s/step] Training: 49%|████▉ | 34162/70000 [12:05:18<12:51:50, 1.29s/step] Training: 49%|████▉ | 34163/70000 [12:05:19<12:34:09, 1.26s/step] Training: 49%|████▉ | 34164/70000 [12:05:21<12:45:20, 1.28s/step] Training: 49%|████▉ | 34165/70000 [12:05:22<12:57:21, 1.30s/step] Training: 49%|████▉ | 34166/70000 [12:05:23<12:40:53, 1.27s/step] Training: 49%|████▉ | 34167/70000 [12:05:24<12:25:26, 1.25s/step] Training: 49%|████▉ | 34168/70000 [12:05:26<12:45:15, 1.28s/step] Training: 49%|████▉ | 34169/70000 [12:05:27<12:51:42, 1.29s/step] Training: 49%|████▉ | 34170/70000 [12:05:28<12:57:44, 1.30s/step] Training: 49%|████▉ | 34171/70000 [12:05:30<12:37:35, 1.27s/step] Training: 49%|████▉ | 34172/70000 [12:05:31<12:30:19, 1.26s/step] Training: 49%|████▉ | 34173/70000 [12:05:32<12:41:49, 1.28s/step] Training: 49%|████▉ | 34174/70000 [12:05:33<12:50:38, 1.29s/step] Training: 49%|████▉ | 34175/70000 [12:05:35<12:33:11, 1.26s/step] Training: 49%|████▉ | 34176/70000 [12:05:36<12:48:45, 1.29s/step] Training: 49%|████▉ | 34177/70000 [12:05:37<12:52:45, 1.29s/step] Training: 49%|████▉ | 34178/70000 [12:05:39<13:06:24, 1.32s/step] Training: 49%|████▉ | 34179/70000 [12:05:40<12:43:37, 1.28s/step] Training: 49%|████▉ | 34180/70000 [12:05:41<12:33:21, 1.26s/step] Training: 49%|████▉ | 34181/70000 [12:05:42<12:47:18, 1.29s/step] Training: 49%|████▉ | 34182/70000 [12:05:44<12:29:56, 1.26s/step] Training: 49%|████▉ | 34183/70000 [12:05:45<12:40:19, 1.27s/step] Training: 49%|████▉ | 34184/70000 [12:05:46<12:24:39, 1.25s/step] Training: 49%|████▉ | 34185/70000 [12:05:47<12:42:14, 1.28s/step] Training: 49%|████▉ | 34186/70000 [12:05:49<13:25:48, 1.35s/step] Training: 49%|████▉ | 34187/70000 [12:05:50<12:57:54, 1.30s/step] Training: 49%|████▉ | 34188/70000 [12:05:51<13:03:25, 1.31s/step] Training: 49%|████▉ | 34189/70000 [12:05:53<12:46:53, 1.28s/step] Training: 49%|████▉ | 34190/70000 [12:05:54<12:30:54, 1.26s/step] Training: 49%|████▉ | 34191/70000 [12:05:55<12:41:56, 1.28s/step] Training: 49%|████▉ | 34192/70000 [12:05:56<12:27:01, 1.25s/step] Training: 49%|████▉ | 34193/70000 [12:05:58<13:02:29, 1.31s/step] Training: 49%|████▉ | 34194/70000 [12:05:59<13:19:49, 1.34s/step] Training: 49%|████▉ | 34195/70000 [12:06:00<12:54:28, 1.30s/step] Training: 49%|████▉ | 34196/70000 [12:06:02<12:59:17, 1.31s/step] Training: 49%|████▉ | 34197/70000 [12:06:03<13:03:47, 1.31s/step] Training: 49%|████▉ | 34198/70000 [12:06:04<12:41:59, 1.28s/step] Training: 49%|████▉ | 34199/70000 [12:06:06<12:26:30, 1.25s/step] Training: 49%|████▉ | 34200/70000 [12:06:07<12:14:51, 1.23s/step]INFO 2026-03-13 08:15:59 ot_train.py:435 step:34K smpl:2M ep:7K epch:28.99 loss:0.021 grdn:2.877 lr:1.3e-05 updt_s:1.249 data_s:0.019 Training: 49%|████▉ | 34201/70000 [12:06:08<12:53:21, 1.30s/step] Training: 49%|████▉ | 34202/70000 [12:06:09<13:00:10, 1.31s/step] Training: 49%|████▉ | 34203/70000 [12:06:11<12:39:15, 1.27s/step] Training: 49%|████▉ | 34204/70000 [12:06:12<12:30:39, 1.26s/step] Training: 49%|████▉ | 34205/70000 [12:06:13<12:42:01, 1.28s/step] Training: 49%|████▉ | 34206/70000 [12:06:14<12:25:43, 1.25s/step] Training: 49%|████▉ | 34207/70000 [12:06:16<12:17:21, 1.24s/step] Training: 49%|████▉ | 34208/70000 [12:06:17<12:09:03, 1.22s/step] Training: 49%|████▉ | 34209/70000 [12:06:18<12:32:50, 1.26s/step] Training: 49%|████▉ | 34210/70000 [12:06:20<12:54:28, 1.30s/step] Training: 49%|████▉ | 34211/70000 [12:06:21<12:35:47, 1.27s/step] Training: 49%|████▉ | 34212/70000 [12:06:22<12:25:43, 1.25s/step] Training: 49%|████▉ | 34213/70000 [12:06:23<12:21:31, 1.24s/step] Training: 49%|████▉ | 34214/70000 [12:06:24<12:11:44, 1.23s/step] Training: 49%|████▉ | 34215/70000 [12:06:26<12:13:28, 1.23s/step] Training: 49%|████▉ | 34216/70000 [12:06:27<12:05:58, 1.22s/step] Training: 49%|████▉ | 34217/70000 [12:06:28<12:09:00, 1.22s/step] Training: 49%|████▉ | 34218/70000 [12:06:29<12:28:39, 1.26s/step] Training: 49%|████▉ | 34219/70000 [12:06:31<12:17:22, 1.24s/step] Training: 49%|████▉ | 34220/70000 [12:06:33<15:31:34, 1.56s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 49%|████▉ | 34221/70000 [12:06:37<22:56:30, 2.31s/step] Training: 49%|████▉ | 34222/70000 [12:06:38<19:36:43, 1.97s/step] Training: 49%|████▉ | 34223/70000 [12:06:39<17:17:28, 1.74s/step] Training: 49%|████▉ | 34224/70000 [12:06:41<16:11:23, 1.63s/step] Training: 49%|████▉ | 34225/70000 [12:06:42<15:35:57, 1.57s/step] Training: 49%|████▉ | 34226/70000 [12:06:43<14:43:58, 1.48s/step] Training: 49%|████▉ | 34227/70000 [12:06:45<14:39:30, 1.48s/step] Training: 49%|████▉ | 34228/70000 [12:06:46<14:24:34, 1.45s/step] Training: 49%|████▉ | 34229/70000 [12:06:48<14:02:29, 1.41s/step] Training: 49%|████▉ | 34230/70000 [12:06:49<13:22:12, 1.35s/step] Training: 49%|████▉ | 34231/70000 [12:06:50<13:20:40, 1.34s/step] Training: 49%|████▉ | 34232/70000 [12:06:51<12:53:28, 1.30s/step] Training: 49%|████▉ | 34233/70000 [12:06:53<13:04:14, 1.32s/step] Training: 49%|████▉ | 34234/70000 [12:06:54<13:27:34, 1.35s/step] Training: 49%|████▉ | 34235/70000 [12:06:55<13:10:20, 1.33s/step] Training: 49%|████▉ | 34236/70000 [12:06:57<12:54:12, 1.30s/step] Training: 49%|████▉ | 34237/70000 [12:06:58<13:02:44, 1.31s/step] Training: 49%|████▉ | 34238/70000 [12:06:59<12:40:32, 1.28s/step] Training: 49%|████▉ | 34239/70000 [12:07:00<12:52:03, 1.30s/step] Training: 49%|████▉ | 34240/70000 [12:07:02<12:32:44, 1.26s/step] Training: 49%|████▉ | 34241/70000 [12:07:03<12:44:29, 1.28s/step] Training: 49%|████▉ | 34242/70000 [12:07:04<13:16:19, 1.34s/step] Training: 49%|████▉ | 34243/70000 [12:07:06<12:53:21, 1.30s/step] Training: 49%|████▉ | 34244/70000 [12:07:07<12:40:04, 1.28s/step] Training: 49%|████▉ | 34245/70000 [12:07:08<12:35:21, 1.27s/step] Training: 49%|████▉ | 34246/70000 [12:07:09<12:21:05, 1.24s/step] Training: 49%|████▉ | 34247/70000 [12:07:11<12:36:34, 1.27s/step] Training: 49%|████▉ | 34248/70000 [12:07:12<12:22:13, 1.25s/step] Training: 49%|████▉ | 34249/70000 [12:07:13<12:17:27, 1.24s/step] Training: 49%|████▉ | 34250/70000 [12:07:14<12:35:31, 1.27s/step] Training: 49%|████▉ | 34251/70000 [12:07:16<12:48:15, 1.29s/step] Training: 49%|████▉ | 34252/70000 [12:07:17<12:56:31, 1.30s/step] Training: 49%|████▉ | 34253/70000 [12:07:18<12:40:39, 1.28s/step] Training: 49%|████▉ | 34254/70000 [12:07:19<12:25:50, 1.25s/step] Training: 49%|████▉ | 34255/70000 [12:07:21<12:17:35, 1.24s/step] Training: 49%|████▉ | 34256/70000 [12:07:22<12:09:28, 1.22s/step] Training: 49%|████▉ | 34257/70000 [12:07:23<12:28:10, 1.26s/step] Training: 49%|████▉ | 34258/70000 [12:07:24<12:26:11, 1.25s/step] Training: 49%|████▉ | 34259/70000 [12:07:26<12:41:50, 1.28s/step] Training: 49%|████▉ | 34260/70000 [12:07:27<12:51:24, 1.30s/step] Training: 49%|████▉ | 34261/70000 [12:07:28<12:58:00, 1.31s/step] Training: 49%|████▉ | 34262/70000 [12:07:30<12:36:48, 1.27s/step] Training: 49%|████▉ | 34263/70000 [12:07:31<12:47:25, 1.29s/step] Training: 49%|████▉ | 34264/70000 [12:07:32<12:30:16, 1.26s/step] Training: 49%|████▉ | 34265/70000 [12:07:33<12:43:16, 1.28s/step] Training: 49%|████▉ | 34266/70000 [12:07:35<12:53:10, 1.30s/step] Training: 49%|████▉ | 34267/70000 [12:07:36<13:00:22, 1.31s/step] Training: 49%|████▉ | 34268/70000 [12:07:37<12:44:39, 1.28s/step] Training: 49%|████▉ | 34269/70000 [12:07:39<12:54:37, 1.30s/step] Training: 49%|████▉ | 34270/70000 [12:07:40<12:34:28, 1.27s/step] Training: 49%|████▉ | 34271/70000 [12:07:41<12:47:04, 1.29s/step] Training: 49%|████▉ | 34272/70000 [12:07:42<12:29:39, 1.26s/step] Training: 49%|████▉ | 34273/70000 [12:07:44<12:42:30, 1.28s/step] Training: 49%|████▉ | 34274/70000 [12:07:45<12:49:36, 1.29s/step] Training: 49%|████▉ | 34275/70000 [12:07:46<12:59:57, 1.31s/step] Training: 49%|████▉ | 34276/70000 [12:07:48<12:41:23, 1.28s/step] Training: 49%|████▉ | 34277/70000 [12:07:49<12:33:07, 1.26s/step] Training: 49%|████▉ | 34278/70000 [12:07:50<12:19:42, 1.24s/step] Training: 49%|████▉ | 34279/70000 [12:07:51<12:35:40, 1.27s/step] Training: 49%|████▉ | 34280/70000 [12:07:53<12:21:41, 1.25s/step] Training: 49%|████▉ | 34281/70000 [12:07:54<12:15:07, 1.23s/step] Training: 49%|████▉ | 34282/70000 [12:07:55<12:33:25, 1.27s/step] Training: 49%|████▉ | 34283/70000 [12:07:57<12:54:45, 1.30s/step] Training: 49%|████▉ | 34284/70000 [12:07:58<13:00:40, 1.31s/step] Training: 49%|████▉ | 34285/70000 [12:07:59<12:44:12, 1.28s/step] Training: 49%|████▉ | 34286/70000 [12:08:00<12:27:24, 1.26s/step] Training: 49%|████▉ | 34287/70000 [12:08:01<12:21:03, 1.25s/step] Training: 49%|████▉ | 34288/70000 [12:08:03<12:11:17, 1.23s/step] Training: 49%|████▉ | 34289/70000 [12:08:04<12:29:45, 1.26s/step] Training: 49%|████▉ | 34290/70000 [12:08:05<12:20:28, 1.24s/step] Training: 49%|████▉ | 34291/70000 [12:08:07<12:36:05, 1.27s/step] Training: 49%|████▉ | 34292/70000 [12:08:08<13:07:12, 1.32s/step] Training: 49%|████▉ | 34293/70000 [12:08:09<13:10:00, 1.33s/step] Training: 49%|████▉ | 34294/70000 [12:08:11<12:45:22, 1.29s/step] Training: 49%|████▉ | 34295/70000 [12:08:12<12:52:32, 1.30s/step] Training: 49%|████▉ | 34296/70000 [12:08:13<12:33:10, 1.27s/step] Training: 49%|████▉ | 34297/70000 [12:08:14<12:44:38, 1.29s/step] Training: 49%|████▉ | 34298/70000 [12:08:16<12:54:55, 1.30s/step] Training: 49%|████▉ | 34299/70000 [12:08:17<13:11:53, 1.33s/step] Training: 49%|████▉ | 34300/70000 [12:08:18<12:52:02, 1.30s/step]INFO 2026-03-13 08:18:10 ot_train.py:435 step:34K smpl:2M ep:7K epch:29.07 loss:0.017 grdn:2.884 lr:1.3e-05 updt_s:1.258 data_s:0.056 Training: 49%|████▉ | 34301/70000 [12:08:20<12:57:15, 1.31s/step] Training: 49%|████▉ | 34302/70000 [12:08:21<12:36:24, 1.27s/step] Training: 49%|████▉ | 34303/70000 [12:08:22<12:47:18, 1.29s/step] Training: 49%|████▉ | 34304/70000 [12:08:23<12:29:13, 1.26s/step] Training: 49%|████▉ | 34305/70000 [12:08:25<12:41:37, 1.28s/step] Training: 49%|████▉ | 34306/70000 [12:08:26<12:51:37, 1.30s/step] Training: 49%|████▉ | 34307/70000 [12:08:27<12:36:44, 1.27s/step] Training: 49%|████▉ | 34308/70000 [12:08:29<12:48:22, 1.29s/step] Training: 49%|████▉ | 34309/70000 [12:08:30<12:35:49, 1.27s/step] Training: 49%|████▉ | 34310/70000 [12:08:31<12:21:49, 1.25s/step] Training: 49%|████▉ | 34311/70000 [12:08:32<12:36:11, 1.27s/step] Training: 49%|████▉ | 34312/70000 [12:08:33<12:21:30, 1.25s/step] Training: 49%|████▉ | 34313/70000 [12:08:35<12:14:53, 1.24s/step] Training: 49%|████▉ | 34314/70000 [12:08:36<12:32:05, 1.26s/step] Training: 49%|████▉ | 34315/70000 [12:08:37<12:44:47, 1.29s/step] Training: 49%|████▉ | 34316/70000 [12:08:39<13:12:29, 1.33s/step] Training: 49%|████▉ | 34317/70000 [12:08:40<12:50:10, 1.30s/step] Training: 49%|████▉ | 34318/70000 [12:08:41<12:31:12, 1.26s/step] Training: 49%|████▉ | 34319/70000 [12:08:42<12:21:45, 1.25s/step] Training: 49%|████▉ | 34320/70000 [12:08:44<12:11:44, 1.23s/step] Training: 49%|████▉ | 34321/70000 [12:08:45<12:30:34, 1.26s/step] Training: 49%|████▉ | 34322/70000 [12:08:46<12:21:44, 1.25s/step] Training: 49%|████▉ | 34323/70000 [12:08:47<12:36:22, 1.27s/step] Training: 49%|████▉ | 34324/70000 [12:08:49<12:46:45, 1.29s/step] Training: 49%|████▉ | 34325/70000 [12:08:50<13:07:59, 1.33s/step] Training: 49%|████▉ | 34326/70000 [12:08:51<12:43:19, 1.28s/step] Training: 49%|████▉ | 34327/70000 [12:08:53<12:50:02, 1.30s/step] Training: 49%|████▉ | 34328/70000 [12:08:54<12:31:25, 1.26s/step] Training: 49%|████▉ | 34329/70000 [12:08:55<12:44:08, 1.29s/step] Training: 49%|████▉ | 34330/70000 [12:08:56<12:27:18, 1.26s/step] Training: 49%|████▉ | 34331/70000 [12:08:58<12:40:58, 1.28s/step] Training: 49%|████▉ | 34332/70000 [12:08:59<12:35:07, 1.27s/step] Training: 49%|████▉ | 34333/70000 [12:09:00<13:07:16, 1.32s/step] Training: 49%|████▉ | 34334/70000 [12:09:02<12:43:04, 1.28s/step] Training: 49%|████▉ | 34335/70000 [12:09:03<12:50:46, 1.30s/step] Training: 49%|████▉ | 34336/70000 [12:09:04<12:31:27, 1.26s/step] Training: 49%|████▉ | 34337/70000 [12:09:06<12:41:36, 1.28s/step] Training: 49%|████▉ | 34338/70000 [12:09:07<12:25:44, 1.25s/step] Training: 49%|████▉ | 34339/70000 [12:09:08<12:31:40, 1.26s/step] Training: 49%|████▉ | 34340/70000 [12:09:09<12:27:56, 1.26s/step] Training: 49%|████▉ | 34341/70000 [12:09:10<12:19:43, 1.24s/step] Training: 49%|████▉ | 34342/70000 [12:09:12<12:09:38, 1.23s/step] Training: 49%|████▉ | 34343/70000 [12:09:13<12:27:51, 1.26s/step] Training: 49%|████▉ | 34344/70000 [12:09:14<12:14:46, 1.24s/step] Training: 49%|████▉ | 34345/70000 [12:09:15<12:10:06, 1.23s/step] Training: 49%|████▉ | 34346/70000 [12:09:17<12:02:56, 1.22s/step] Training: 49%|████▉ | 34347/70000 [12:09:18<12:25:40, 1.25s/step] Training: 49%|████▉ | 34348/70000 [12:09:19<12:13:35, 1.23s/step] Training: 49%|████▉ | 34349/70000 [12:09:20<12:34:52, 1.27s/step] Training: 49%|████▉ | 34350/70000 [12:09:22<12:20:36, 1.25s/step] Training: 49%|████▉ | 34351/70000 [12:09:23<12:13:01, 1.23s/step] Training: 49%|████▉ | 34352/70000 [12:09:24<12:05:50, 1.22s/step] Training: 49%|████▉ | 34353/70000 [12:09:25<12:24:45, 1.25s/step] Training: 49%|████▉ | 34354/70000 [12:09:27<12:15:15, 1.24s/step] Training: 49%|████▉ | 34355/70000 [12:09:28<12:31:45, 1.27s/step] Training: 49%|████▉ | 34356/70000 [12:09:29<12:19:32, 1.24s/step] Training: 49%|████▉ | 34357/70000 [12:09:30<12:47:53, 1.29s/step] Training: 49%|████▉ | 34358/70000 [12:09:32<12:34:59, 1.27s/step] Training: 49%|████▉ | 34359/70000 [12:09:33<12:47:08, 1.29s/step] Training: 49%|████▉ | 34360/70000 [12:09:34<12:29:20, 1.26s/step] Training: 49%|████▉ | 34361/70000 [12:09:36<12:42:07, 1.28s/step] Training: 49%|████▉ | 34362/70000 [12:09:37<12:24:51, 1.25s/step] Training: 49%|████▉ | 34363/70000 [12:09:38<12:44:44, 1.29s/step] Training: 49%|████▉ | 34364/70000 [12:09:39<12:27:37, 1.26s/step] Training: 49%|████▉ | 34365/70000 [12:09:41<12:44:10, 1.29s/step] Training: 49%|████▉ | 34366/70000 [12:09:42<12:24:22, 1.25s/step] Training: 49%|████▉ | 34367/70000 [12:09:43<12:36:57, 1.27s/step] Training: 49%|████▉ | 34368/70000 [12:09:44<12:21:44, 1.25s/step] Training: 49%|████▉ | 34369/70000 [12:09:46<12:36:01, 1.27s/step] Training: 49%|████▉ | 34370/70000 [12:09:47<12:21:39, 1.25s/step] Training: 49%|████▉ | 34371/70000 [12:09:48<12:17:55, 1.24s/step] Training: 49%|████▉ | 34372/70000 [12:09:49<12:10:18, 1.23s/step] Training: 49%|████▉ | 34373/70000 [12:09:51<13:08:20, 1.33s/step] Training: 49%|████▉ | 34374/70000 [12:09:52<12:43:45, 1.29s/step] Training: 49%|████▉ | 34375/70000 [12:09:53<12:34:37, 1.27s/step] Training: 49%|████▉ | 34376/70000 [12:09:54<12:20:30, 1.25s/step] Training: 49%|████▉ | 34377/70000 [12:09:56<12:16:03, 1.24s/step] Training: 49%|████▉ | 34378/70000 [12:09:57<12:08:51, 1.23s/step] Training: 49%|████▉ | 34379/70000 [12:09:58<12:26:37, 1.26s/step] Training: 49%|████▉ | 34380/70000 [12:09:59<12:14:37, 1.24s/step] Training: 49%|████▉ | 34381/70000 [12:10:01<12:31:08, 1.27s/step] Training: 49%|████▉ | 34382/70000 [12:10:02<12:43:19, 1.29s/step] Training: 49%|████▉ | 34383/70000 [12:10:03<12:27:58, 1.26s/step] Training: 49%|████▉ | 34384/70000 [12:10:04<12:15:42, 1.24s/step] Training: 49%|████▉ | 34385/70000 [12:10:06<12:32:19, 1.27s/step] Training: 49%|████▉ | 34386/70000 [12:10:07<12:19:03, 1.25s/step] Training: 49%|████▉ | 34387/70000 [12:10:08<12:34:26, 1.27s/step] Training: 49%|████▉ | 34388/70000 [12:10:10<12:20:40, 1.25s/step] Training: 49%|████▉ | 34389/70000 [12:10:11<12:39:10, 1.28s/step] Training: 49%|████▉ | 34390/70000 [12:10:12<12:50:22, 1.30s/step] Training: 49%|████▉ | 34391/70000 [12:10:14<12:53:48, 1.30s/step] Training: 49%|████▉ | 34392/70000 [12:10:15<12:34:17, 1.27s/step] Training: 49%|████▉ | 34393/70000 [12:10:16<12:43:02, 1.29s/step] Training: 49%|████▉ | 34394/70000 [12:10:17<12:26:04, 1.26s/step] Training: 49%|████▉ | 34395/70000 [12:10:19<12:46:59, 1.29s/step] Training: 49%|████▉ | 34396/70000 [12:10:20<12:28:53, 1.26s/step] Training: 49%|████▉ | 34397/70000 [12:10:21<12:44:22, 1.29s/step] Training: 49%|████▉ | 34398/70000 [12:10:22<12:33:41, 1.27s/step] Training: 49%|████▉ | 34399/70000 [12:10:24<12:42:37, 1.29s/step] Training: 49%|████▉ | 34400/70000 [12:10:25<12:25:22, 1.26s/step]INFO 2026-03-13 08:20:17 ot_train.py:435 step:34K smpl:2M ep:7K epch:29.16 loss:0.018 grdn:2.454 lr:1.3e-05 updt_s:1.244 data_s:0.019 Training: 49%|████▉ | 34401/70000 [12:10:26<12:40:19, 1.28s/step] Training: 49%|████▉ | 34402/70000 [12:10:27<12:24:28, 1.25s/step] Training: 49%|████▉ | 34403/70000 [12:10:29<12:39:14, 1.28s/step] Training: 49%|████▉ | 34404/70000 [12:10:30<12:23:26, 1.25s/step] Training: 49%|████▉ | 34405/70000 [12:10:31<12:43:43, 1.29s/step] Training: 49%|████▉ | 34406/70000 [12:10:33<12:41:41, 1.28s/step] Training: 49%|████▉ | 34407/70000 [12:10:34<12:29:39, 1.26s/step] Training: 49%|████▉ | 34408/70000 [12:10:35<12:16:02, 1.24s/step] Training: 49%|████▉ | 34409/70000 [12:10:36<12:12:40, 1.24s/step] Training: 49%|████▉ | 34410/70000 [12:10:37<12:04:56, 1.22s/step] Training: 49%|████▉ | 34411/70000 [12:10:39<12:24:01, 1.25s/step] Training: 49%|████▉ | 34412/70000 [12:10:40<12:14:17, 1.24s/step] Training: 49%|████▉ | 34413/70000 [12:10:41<12:29:15, 1.26s/step] Training: 49%|████▉ | 34414/70000 [12:10:42<12:16:19, 1.24s/step] Training: 49%|████▉ | 34415/70000 [12:10:44<12:36:29, 1.28s/step] Training: 49%|████▉ | 34416/70000 [12:10:45<12:19:32, 1.25s/step] Training: 49%|████▉ | 34417/70000 [12:10:46<12:35:22, 1.27s/step] Training: 49%|████▉ | 34418/70000 [12:10:48<12:21:34, 1.25s/step] Training: 49%|████▉ | 34419/70000 [12:10:49<12:39:16, 1.28s/step] Training: 49%|████▉ | 34420/70000 [12:10:50<12:23:07, 1.25s/step] Training: 49%|████▉ | 34421/70000 [12:10:51<12:35:59, 1.27s/step] Training: 49%|████▉ | 34422/70000 [12:10:53<12:21:12, 1.25s/step] Training: 49%|████▉ | 34423/70000 [12:10:54<12:47:59, 1.30s/step] Training: 49%|████▉ | 34424/70000 [12:10:55<12:29:18, 1.26s/step] Training: 49%|████▉ | 34425/70000 [12:10:57<12:43:09, 1.29s/step] Training: 49%|████▉ | 34426/70000 [12:10:58<12:26:02, 1.26s/step] Training: 49%|████▉ | 34427/70000 [12:10:59<12:47:35, 1.29s/step] Training: 49%|████▉ | 34428/70000 [12:11:00<12:29:51, 1.26s/step] Training: 49%|████▉ | 34429/70000 [12:11:02<12:42:30, 1.29s/step] Training: 49%|████▉ | 34430/70000 [12:11:03<12:24:59, 1.26s/step] Training: 49%|████▉ | 34431/70000 [12:11:04<12:36:15, 1.28s/step] Training: 49%|████▉ | 34432/70000 [12:11:05<12:48:21, 1.30s/step] Training: 49%|████▉ | 34433/70000 [12:11:07<12:52:53, 1.30s/step] Training: 49%|████▉ | 34434/70000 [12:11:08<12:32:27, 1.27s/step] Training: 49%|████▉ | 34435/70000 [12:11:09<12:33:39, 1.27s/step] Training: 49%|████▉ | 34436/70000 [12:11:10<12:19:36, 1.25s/step] Training: 49%|████▉ | 34437/70000 [12:11:12<12:35:24, 1.27s/step] Training: 49%|████▉ | 34438/70000 [12:11:13<12:19:59, 1.25s/step] Training: 49%|████▉ | 34439/70000 [12:11:14<12:44:52, 1.29s/step] Training: 49%|████▉ | 34440/70000 [12:11:16<12:25:52, 1.26s/step] Training: 49%|████▉ | 34441/70000 [12:11:17<12:17:22, 1.24s/step] Training: 49%|████▉ | 34442/70000 [12:11:18<12:09:09, 1.23s/step] Training: 49%|████▉ | 34443/70000 [12:11:19<12:26:44, 1.26s/step] Training: 49%|████▉ | 34444/70000 [12:11:20<12:14:30, 1.24s/step] Training: 49%|████▉ | 34445/70000 [12:11:22<12:30:17, 1.27s/step] Training: 49%|████▉ | 34446/70000 [12:11:23<12:16:22, 1.24s/step] Training: 49%|████▉ | 34447/70000 [12:11:24<12:10:30, 1.23s/step] Training: 49%|████▉ | 34448/70000 [12:11:26<12:29:08, 1.26s/step] Training: 49%|████▉ | 34449/70000 [12:11:27<12:38:09, 1.28s/step] Training: 49%|████▉ | 34450/70000 [12:11:28<12:22:27, 1.25s/step] Training: 49%|████▉ | 34451/70000 [12:11:29<12:36:53, 1.28s/step] Training: 49%|████▉ | 34452/70000 [12:11:31<12:20:54, 1.25s/step] Training: 49%|████▉ | 34453/70000 [12:11:32<12:33:48, 1.27s/step] Training: 49%|████▉ | 34454/70000 [12:11:33<12:19:05, 1.25s/step] Training: 49%|████▉ | 34455/70000 [12:11:34<12:34:42, 1.27s/step] Training: 49%|████▉ | 34456/70000 [12:11:36<12:48:20, 1.30s/step] Training: 49%|████▉ | 34457/70000 [12:11:37<12:53:52, 1.31s/step] Training: 49%|████▉ | 34458/70000 [12:11:38<12:34:53, 1.27s/step] Training: 49%|████▉ | 34459/70000 [12:11:40<12:52:55, 1.30s/step] Training: 49%|████▉ | 34460/70000 [12:11:41<12:32:37, 1.27s/step] Training: 49%|████▉ | 34461/70000 [12:11:42<12:42:29, 1.29s/step] Training: 49%|████▉ | 34462/70000 [12:11:43<12:26:10, 1.26s/step] Training: 49%|████▉ | 34463/70000 [12:11:45<12:36:46, 1.28s/step] Training: 49%|████▉ | 34464/70000 [12:11:46<12:25:34, 1.26s/step] Training: 49%|████▉ | 34465/70000 [12:11:47<12:37:17, 1.28s/step] Training: 49%|████▉ | 34466/70000 [12:11:48<12:22:25, 1.25s/step] Training: 49%|████▉ | 34467/70000 [12:11:50<12:22:23, 1.25s/step] Training: 49%|████▉ | 34468/70000 [12:11:51<12:11:40, 1.24s/step] Training: 49%|████▉ | 34469/70000 [12:11:52<12:34:56, 1.27s/step] Training: 49%|████▉ | 34470/70000 [12:11:53<12:19:59, 1.25s/step] Training: 49%|████▉ | 34471/70000 [12:11:55<12:15:41, 1.24s/step] Training: 49%|████▉ | 34472/70000 [12:11:56<12:19:16, 1.25s/step] Training: 49%|████▉ | 34473/70000 [12:11:57<12:12:07, 1.24s/step] Training: 49%|████▉ | 34474/70000 [12:11:58<12:04:45, 1.22s/step] Training: 49%|████▉ | 34475/70000 [12:12:00<12:22:34, 1.25s/step] Training: 49%|████▉ | 34476/70000 [12:12:01<12:13:05, 1.24s/step] Training: 49%|████▉ | 34477/70000 [12:12:02<12:25:47, 1.26s/step] Training: 49%|████▉ | 34478/70000 [12:12:03<12:13:51, 1.24s/step] Training: 49%|████▉ | 34479/70000 [12:12:05<12:09:11, 1.23s/step] Training: 49%|████▉ | 34480/70000 [12:12:06<12:08:23, 1.23s/step] Training: 49%|████▉ | 34481/70000 [12:12:07<12:25:07, 1.26s/step] Training: 49%|████▉ | 34482/70000 [12:12:08<12:13:21, 1.24s/step] Training: 49%|████▉ | 34483/70000 [12:12:10<12:29:39, 1.27s/step] Training: 49%|████▉ | 34484/70000 [12:12:11<12:16:04, 1.24s/step] Training: 49%|████▉ | 34485/70000 [12:12:12<12:38:34, 1.28s/step] Training: 49%|████▉ | 34486/70000 [12:12:13<12:22:45, 1.25s/step] Training: 49%|████▉ | 34487/70000 [12:12:15<12:36:31, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=13831 Training: 49%|████▉ | 34488/70000 [12:12:16<12:20:00, 1.25s/step] Training: 49%|████▉ | 34489/70000 [12:12:17<12:54:43, 1.31s/step] Training: 49%|████▉ | 34490/70000 [12:12:19<12:33:05, 1.27s/step] Training: 49%|████▉ | 34491/70000 [12:12:20<12:45:21, 1.29s/step] Training: 49%|████▉ | 34492/70000 [12:12:21<12:27:20, 1.26s/step] Training: 49%|████▉ | 34493/70000 [12:12:22<12:18:10, 1.25s/step] Training: 49%|████▉ | 34494/70000 [12:12:23<12:09:29, 1.23s/step] Training: 49%|████▉ | 34495/70000 [12:12:25<12:24:56, 1.26s/step] Training: 49%|████▉ | 34496/70000 [12:12:26<12:12:13, 1.24s/step] Training: 49%|████▉ | 34497/70000 [12:12:27<12:45:47, 1.29s/step] Training: 49%|████▉ | 34498/70000 [12:12:29<12:27:16, 1.26s/step] Training: 49%|████▉ | 34499/70000 [12:12:30<12:28:12, 1.26s/step] Training: 49%|████▉ | 34500/70000 [12:12:31<12:14:53, 1.24s/step]INFO 2026-03-13 08:22:23 ot_train.py:435 step:34K smpl:2M ep:8K epch:29.24 loss:0.017 grdn:3.594 lr:1.3e-05 updt_s:1.241 data_s:0.019 Training: 49%|████▉ | 34501/70000 [12:12:32<12:43:06, 1.29s/step] Training: 49%|████▉ | 34502/70000 [12:12:34<12:48:04, 1.30s/step] Training: 49%|████▉ | 34503/70000 [12:12:35<12:37:05, 1.28s/step] Training: 49%|████▉ | 34504/70000 [12:12:36<12:20:56, 1.25s/step] Training: 49%|████▉ | 34505/70000 [12:12:38<12:39:13, 1.28s/step] Training: 49%|████▉ | 34506/70000 [12:12:39<12:20:42, 1.25s/step] Training: 49%|████▉ | 34507/70000 [12:12:40<12:13:17, 1.24s/step] Training: 49%|████▉ | 34508/70000 [12:12:41<12:22:29, 1.26s/step] Training: 49%|████▉ | 34509/70000 [12:12:43<12:36:07, 1.28s/step] Training: 49%|████▉ | 34510/70000 [12:12:44<12:31:57, 1.27s/step] Training: 49%|████▉ | 34511/70000 [12:12:45<12:21:40, 1.25s/step] Training: 49%|████▉ | 34512/70000 [12:12:46<12:10:07, 1.23s/step] Training: 49%|████▉ | 34513/70000 [12:12:48<12:31:45, 1.27s/step] Training: 49%|████▉ | 34514/70000 [12:12:49<12:15:11, 1.24s/step] Training: 49%|████▉ | 34515/70000 [12:12:50<12:30:45, 1.27s/step] Training: 49%|████▉ | 34516/70000 [12:12:51<12:17:01, 1.25s/step] Training: 49%|████▉ | 34517/70000 [12:12:53<12:32:44, 1.27s/step] Training: 49%|████▉ | 34518/70000 [12:12:54<12:20:28, 1.25s/step] Training: 49%|████▉ | 34519/70000 [12:12:55<12:33:38, 1.27s/step] Training: 49%|████▉ | 34520/70000 [12:12:56<12:18:38, 1.25s/step] Training: 49%|████▉ | 34521/70000 [12:12:58<12:31:25, 1.27s/step] Training: 49%|████▉ | 34522/70000 [12:12:59<12:45:07, 1.29s/step] Training: 49%|████▉ | 34523/70000 [12:13:00<12:33:25, 1.27s/step] Training: 49%|████▉ | 34524/70000 [12:13:02<12:41:49, 1.29s/step] Training: 49%|████▉ | 34525/70000 [12:13:03<12:49:07, 1.30s/step] Training: 49%|████▉ | 34526/70000 [12:13:04<12:54:29, 1.31s/step] Training: 49%|████▉ | 34527/70000 [12:13:06<12:56:30, 1.31s/step] Training: 49%|████▉ | 34528/70000 [12:13:07<12:34:29, 1.28s/step] Training: 49%|████▉ | 34529/70000 [12:13:08<12:42:51, 1.29s/step] Training: 49%|████▉ | 34530/70000 [12:13:09<12:56:28, 1.31s/step] Training: 49%|████▉ | 34531/70000 [12:13:11<12:36:43, 1.28s/step] Training: 49%|████▉ | 34532/70000 [12:13:12<12:43:15, 1.29s/step] Training: 49%|████▉ | 34533/70000 [12:13:13<12:55:15, 1.31s/step] Training: 49%|████▉ | 34534/70000 [12:13:15<12:57:35, 1.32s/step] Training: 49%|████▉ | 34535/70000 [12:13:16<12:42:19, 1.29s/step] Training: 49%|████▉ | 34536/70000 [12:13:17<12:25:08, 1.26s/step] Training: 49%|████▉ | 34537/70000 [12:13:18<12:16:16, 1.25s/step] Training: 49%|████▉ | 34538/70000 [12:13:20<12:29:18, 1.27s/step] Training: 49%|████▉ | 34539/70000 [12:13:21<12:39:25, 1.28s/step] Training: 49%|████▉ | 34540/70000 [12:13:22<12:23:33, 1.26s/step] Training: 49%|████▉ | 34541/70000 [12:13:23<12:36:58, 1.28s/step] Training: 49%|████▉ | 34542/70000 [12:13:25<12:43:41, 1.29s/step] Training: 49%|████▉ | 34543/70000 [12:13:26<12:30:40, 1.27s/step] Training: 49%|████▉ | 34544/70000 [12:13:27<12:16:05, 1.25s/step] Training: 49%|████▉ | 34545/70000 [12:13:29<12:33:26, 1.28s/step] Training: 49%|████▉ | 34546/70000 [12:13:30<12:47:07, 1.30s/step] Training: 49%|████▉ | 34547/70000 [12:13:31<12:50:37, 1.30s/step] Training: 49%|████▉ | 34548/70000 [12:13:32<12:50:50, 1.30s/step] Training: 49%|████▉ | 34549/70000 [12:13:34<12:55:33, 1.31s/step] Training: 49%|████▉ | 34550/70000 [12:13:35<12:38:16, 1.28s/step] Training: 49%|████▉ | 34551/70000 [12:13:36<12:46:03, 1.30s/step] Training: 49%|████▉ | 34552/70000 [12:13:38<12:27:42, 1.27s/step] Training: 49%|████▉ | 34553/70000 [12:13:39<12:39:07, 1.28s/step] Training: 49%|████▉ | 34554/70000 [12:13:40<12:30:30, 1.27s/step] Training: 49%|████▉ | 34555/70000 [12:13:41<12:18:14, 1.25s/step] Training: 49%|████▉ | 34556/70000 [12:13:43<12:29:54, 1.27s/step] Training: 49%|████▉ | 34557/70000 [12:13:44<12:40:18, 1.29s/step] Training: 49%|████▉ | 34558/70000 [12:13:45<12:47:51, 1.30s/step] Training: 49%|████▉ | 34559/70000 [12:13:47<12:52:12, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=13831 Training: 49%|████▉ | 34560/70000 [12:13:48<12:30:41, 1.27s/step] Training: 49%|████▉ | 34561/70000 [12:13:49<12:40:09, 1.29s/step] Training: 49%|████▉ | 34562/70000 [12:13:50<12:22:50, 1.26s/step] Training: 49%|████▉ | 34563/70000 [12:13:52<12:37:18, 1.28s/step] Training: 49%|████▉ | 34564/70000 [12:13:53<12:22:31, 1.26s/step] Training: 49%|████▉ | 34565/70000 [12:13:54<12:41:31, 1.29s/step] Training: 49%|████▉ | 34566/70000 [12:13:56<12:48:59, 1.30s/step] Training: 49%|████▉ | 34567/70000 [12:13:57<12:33:49, 1.28s/step] Training: 49%|████▉ | 34568/70000 [12:13:58<12:18:23, 1.25s/step] Training: 49%|████▉ | 34569/70000 [12:13:59<12:12:18, 1.24s/step] Training: 49%|████▉ | 34570/70000 [12:14:00<12:03:32, 1.23s/step] Training: 49%|████▉ | 34571/70000 [12:14:02<12:19:44, 1.25s/step] Training: 49%|████▉ | 34572/70000 [12:14:03<12:51:28, 1.31s/step] Training: 49%|████▉ | 34573/70000 [12:14:04<12:55:33, 1.31s/step] Training: 49%|████▉ | 34574/70000 [12:14:06<12:56:26, 1.32s/step] Training: 49%|████▉ | 34575/70000 [12:14:07<12:36:26, 1.28s/step] Training: 49%|████▉ | 34576/70000 [12:14:08<12:20:05, 1.25s/step] Training: 49%|████▉ | 34577/70000 [12:14:10<12:34:09, 1.28s/step] Training: 49%|████▉ | 34578/70000 [12:14:11<12:19:04, 1.25s/step] Training: 49%|████▉ | 34579/70000 [12:14:12<12:39:41, 1.29s/step] Training: 49%|████▉ | 34580/70000 [12:14:13<12:44:41, 1.30s/step] Training: 49%|████▉ | 34581/70000 [12:14:15<12:50:56, 1.31s/step] Training: 49%|████▉ | 34582/70000 [12:14:16<12:34:05, 1.28s/step] Training: 49%|████▉ | 34583/70000 [12:14:17<12:41:59, 1.29s/step] Training: 49%|████▉ | 34584/70000 [12:14:18<12:23:40, 1.26s/step] Training: 49%|████▉ | 34585/70000 [12:14:20<12:37:04, 1.28s/step] Training: 49%|████▉ | 34586/70000 [12:14:21<12:20:08, 1.25s/step] Training: 49%|████▉ | 34587/70000 [12:14:22<12:24:42, 1.26s/step] Training: 49%|████▉ | 34588/70000 [12:14:24<12:38:07, 1.28s/step] Training: 49%|████▉ | 34589/70000 [12:14:25<13:03:21, 1.33s/step] Training: 49%|████▉ | 34590/70000 [12:14:26<13:02:15, 1.33s/step] Training: 49%|████▉ | 34591/70000 [12:14:28<13:01:24, 1.32s/step] Training: 49%|████▉ | 34592/70000 [12:14:29<12:37:08, 1.28s/step] Training: 49%|████▉ | 34593/70000 [12:14:30<12:45:39, 1.30s/step] Training: 49%|████▉ | 34594/70000 [12:14:31<12:26:27, 1.26s/step] Training: 49%|████▉ | 34595/70000 [12:14:33<12:36:51, 1.28s/step] Training: 49%|████▉ | 34596/70000 [12:14:34<12:49:37, 1.30s/step] Training: 49%|████▉ | 34597/70000 [12:14:35<13:12:25, 1.34s/step] Training: 49%|████▉ | 34598/70000 [12:14:37<13:08:09, 1.34s/step] Training: 49%|████▉ | 34599/70000 [12:14:38<12:49:56, 1.30s/step] Training: 49%|████▉ | 34600/70000 [12:14:39<12:28:28, 1.27s/step]INFO 2026-03-13 08:24:31 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.33 loss:0.017 grdn:2.720 lr:1.3e-05 updt_s:1.261 data_s:0.018 Training: 49%|████▉ | 34601/70000 [12:14:40<12:20:24, 1.25s/step] Training: 49%|████▉ | 34602/70000 [12:14:42<12:08:49, 1.24s/step] Training: 49%|████▉ | 34603/70000 [12:14:43<12:03:00, 1.23s/step] Training: 49%|████▉ | 34604/70000 [12:14:44<12:20:55, 1.26s/step] Training: 49%|████▉ | 34605/70000 [12:14:45<12:33:11, 1.28s/step] Training: 49%|████▉ | 34606/70000 [12:14:47<12:42:52, 1.29s/step] Training: 49%|████▉ | 34607/70000 [12:14:48<12:29:09, 1.27s/step] Training: 49%|████▉ | 34608/70000 [12:14:49<12:14:54, 1.25s/step] Training: 49%|████▉ | 34609/70000 [12:14:51<12:29:51, 1.27s/step] Training: 49%|████▉ | 34610/70000 [12:14:52<12:15:41, 1.25s/step] Training: 49%|████▉ | 34611/70000 [12:14:53<12:29:21, 1.27s/step] Training: 49%|████▉ | 34612/70000 [12:14:54<12:46:20, 1.30s/step] Training: 49%|████▉ | 34613/70000 [12:14:56<12:52:07, 1.31s/step] Training: 49%|████▉ | 34614/70000 [12:14:57<12:36:38, 1.28s/step] Training: 49%|████▉ | 34615/70000 [12:14:58<12:46:03, 1.30s/step] Training: 49%|████▉ | 34616/70000 [12:14:59<12:27:08, 1.27s/step] Training: 49%|████▉ | 34617/70000 [12:15:01<12:41:08, 1.29s/step] Training: 49%|████▉ | 34618/70000 [12:15:02<12:23:24, 1.26s/step] Training: 49%|████▉ | 34619/70000 [12:15:03<12:35:34, 1.28s/step] Training: 49%|████▉ | 34620/70000 [12:15:05<12:39:55, 1.29s/step] Training: 49%|████▉ | 34621/70000 [12:15:06<12:26:03, 1.27s/step] Training: 49%|████▉ | 34622/70000 [12:15:07<12:57:32, 1.32s/step] Training: 49%|████▉ | 34623/70000 [12:15:09<12:34:47, 1.28s/step] Training: 49%|████▉ | 34624/70000 [12:15:10<12:40:33, 1.29s/step] Training: 49%|████▉ | 34625/70000 [12:15:11<12:48:18, 1.30s/step] Training: 49%|████▉ | 34626/70000 [12:15:12<12:28:31, 1.27s/step] Training: 49%|████▉ | 34627/70000 [12:15:14<12:38:22, 1.29s/step] Training: 49%|████▉ | 34628/70000 [12:15:15<12:28:19, 1.27s/step] Training: 49%|████▉ | 34629/70000 [12:15:16<12:55:17, 1.32s/step] Training: 49%|████▉ | 34630/70000 [12:15:18<13:16:08, 1.35s/step] Training: 49%|████▉ | 34631/70000 [12:15:19<12:47:21, 1.30s/step] Training: 49%|████▉ | 34632/70000 [12:15:20<12:47:38, 1.30s/step] Training: 49%|████▉ | 34633/70000 [12:15:21<12:34:25, 1.28s/step] Training: 49%|████▉ | 34634/70000 [12:15:23<12:19:28, 1.25s/step] Training: 49%|████▉ | 34635/70000 [12:15:24<12:09:39, 1.24s/step] Training: 49%|████▉ | 34636/70000 [12:15:25<12:00:49, 1.22s/step] Training: 49%|████▉ | 34637/70000 [12:15:26<12:36:26, 1.28s/step] Training: 49%|████▉ | 34638/70000 [12:15:28<12:45:29, 1.30s/step] Training: 49%|████▉ | 34639/70000 [12:15:29<12:26:01, 1.27s/step] Training: 49%|████▉ | 34640/70000 [12:15:30<12:12:15, 1.24s/step] Training: 49%|████▉ | 34641/70000 [12:15:32<12:29:10, 1.27s/step] Training: 49%|████▉ | 34642/70000 [12:15:33<12:14:47, 1.25s/step] Training: 49%|████▉ | 34643/70000 [12:15:34<12:28:42, 1.27s/step] Training: 49%|████▉ | 34644/70000 [12:15:35<12:14:32, 1.25s/step] Training: 49%|████▉ | 34645/70000 [12:15:36<12:11:36, 1.24s/step] Training: 49%|████▉ | 34646/70000 [12:15:38<12:29:08, 1.27s/step] Training: 49%|████▉ | 34647/70000 [12:15:39<12:12:31, 1.24s/step] Training: 49%|████▉ | 34648/70000 [12:15:40<12:03:00, 1.23s/step] Training: 49%|████▉ | 34649/70000 [12:15:42<12:22:12, 1.26s/step] Training: 50%|████▉ | 34650/70000 [12:15:43<12:09:54, 1.24s/step] Training: 50%|████▉ | 34651/70000 [12:15:44<12:25:44, 1.27s/step] Training: 50%|████▉ | 34652/70000 [12:15:45<12:18:25, 1.25s/step] Training: 50%|████▉ | 34653/70000 [12:15:47<12:36:11, 1.28s/step] Training: 50%|████▉ | 34654/70000 [12:15:48<12:42:12, 1.29s/step] Training: 50%|████▉ | 34655/70000 [12:15:49<12:23:28, 1.26s/step] Training: 50%|████▉ | 34656/70000 [12:15:50<12:38:42, 1.29s/step] Training: 50%|████▉ | 34657/70000 [12:15:52<12:47:53, 1.30s/step] Training: 50%|████▉ | 34658/70000 [12:15:53<12:28:26, 1.27s/step] Training: 50%|████▉ | 34659/70000 [12:15:54<12:38:12, 1.29s/step] Training: 50%|████▉ | 34660/70000 [12:15:56<12:24:09, 1.26s/step] Training: 50%|████▉ | 34661/70000 [12:15:57<12:34:58, 1.28s/step] Training: 50%|████▉ | 34662/70000 [12:15:58<12:56:53, 1.32s/step] Training: 50%|████▉ | 34663/70000 [12:15:59<12:34:14, 1.28s/step] Training: 50%|████▉ | 34664/70000 [12:16:01<12:20:26, 1.26s/step] Training: 50%|████▉ | 34665/70000 [12:16:02<12:15:57, 1.25s/step] Training: 50%|████▉ | 34666/70000 [12:16:03<12:06:00, 1.23s/step] Training: 50%|████▉ | 34667/70000 [12:16:04<12:02:08, 1.23s/step] Training: 50%|████▉ | 34668/70000 [12:16:06<12:19:39, 1.26s/step] Training: 50%|████▉ | 34669/70000 [12:16:07<12:08:03, 1.24s/step] Training: 50%|████▉ | 34670/70000 [12:16:08<12:41:32, 1.29s/step] Training: 50%|████▉ | 34671/70000 [12:16:09<12:23:08, 1.26s/step] Training: 50%|████▉ | 34672/70000 [12:16:11<12:35:19, 1.28s/step] Training: 50%|████▉ | 34673/70000 [12:16:12<12:46:05, 1.30s/step] Training: 50%|████▉ | 34674/70000 [12:16:13<12:26:46, 1.27s/step] Training: 50%|████▉ | 34675/70000 [12:16:15<12:37:00, 1.29s/step] Training: 50%|████▉ | 34676/70000 [12:16:16<12:45:03, 1.30s/step] Training: 50%|████▉ | 34677/70000 [12:16:17<12:25:29, 1.27s/step] Training: 50%|████▉ | 34678/70000 [12:16:19<12:57:39, 1.32s/step] Training: 50%|████▉ | 34679/70000 [12:16:20<12:34:16, 1.28s/step] Training: 50%|████▉ | 34680/70000 [12:16:21<12:41:56, 1.29s/step] Training: 50%|████▉ | 34681/70000 [12:16:22<12:50:39, 1.31s/step] Training: 50%|████▉ | 34682/70000 [12:16:24<12:29:25, 1.27s/step] Training: 50%|████▉ | 34683/70000 [12:16:25<12:42:28, 1.30s/step] Training: 50%|████▉ | 34684/70000 [12:16:26<12:30:36, 1.28s/step] Training: 50%|████▉ | 34685/70000 [12:16:27<12:15:27, 1.25s/step] Training: 50%|████▉ | 34686/70000 [12:16:29<12:37:20, 1.29s/step] Training: 50%|████▉ | 34687/70000 [12:16:30<12:20:05, 1.26s/step] Training: 50%|████▉ | 34688/70000 [12:16:31<12:33:34, 1.28s/step] Training: 50%|████▉ | 34689/70000 [12:16:33<12:43:43, 1.30s/step] Training: 50%|████▉ | 34690/70000 [12:16:34<12:24:50, 1.27s/step] Training: 50%|████▉ | 34691/70000 [12:16:35<12:35:32, 1.28s/step] Training: 50%|████▉ | 34692/70000 [12:16:36<12:24:56, 1.27s/step] Training: 50%|████▉ | 34693/70000 [12:16:38<12:12:46, 1.25s/step] Training: 50%|████▉ | 34694/70000 [12:16:39<12:43:44, 1.30s/step] Training: 50%|████▉ | 34695/70000 [12:16:40<12:24:35, 1.27s/step] Training: 50%|████▉ | 34696/70000 [12:16:41<12:13:25, 1.25s/step] Training: 50%|████▉ | 34697/70000 [12:16:43<12:09:38, 1.24s/step] Training: 50%|████▉ | 34698/70000 [12:16:44<12:00:48, 1.23s/step] Training: 50%|████▉ | 34699/70000 [12:16:45<11:58:56, 1.22s/step] Training: 50%|████▉ | 34700/70000 [12:16:46<12:17:59, 1.25s/step]INFO 2026-03-13 08:26:38 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.41 loss:0.018 grdn:2.412 lr:1.3e-05 updt_s:1.250 data_s:0.019 Training: 50%|████▉ | 34701/70000 [12:16:48<12:06:54, 1.24s/step] Training: 50%|████▉ | 34702/70000 [12:16:49<12:29:10, 1.27s/step] Training: 50%|████▉ | 34703/70000 [12:16:50<12:44:02, 1.30s/step] Training: 50%|████▉ | 34704/70000 [12:16:52<12:47:40, 1.30s/step] Training: 50%|████▉ | 34705/70000 [12:16:53<12:51:58, 1.31s/step] Training: 50%|████▉ | 34706/70000 [12:16:54<12:30:44, 1.28s/step] Training: 50%|████▉ | 34707/70000 [12:16:55<12:41:16, 1.29s/step] Training: 50%|████▉ | 34708/70000 [12:16:57<12:47:25, 1.30s/step] Training: 50%|████▉ | 34709/70000 [12:16:58<12:27:57, 1.27s/step] Training: 50%|████▉ | 34710/70000 [12:16:59<12:38:09, 1.29s/step] Training: 50%|████▉ | 34711/70000 [12:17:01<12:40:12, 1.29s/step] Training: 50%|████▉ | 34712/70000 [12:17:02<12:45:22, 1.30s/step] Training: 50%|████▉ | 34713/70000 [12:17:03<12:50:14, 1.31s/step] Training: 50%|████▉ | 34714/70000 [12:17:04<12:29:55, 1.28s/step] Training: 50%|████▉ | 34715/70000 [12:17:06<12:38:49, 1.29s/step] Training: 50%|████▉ | 34716/70000 [12:17:07<12:29:57, 1.28s/step] Training: 50%|████▉ | 34717/70000 [12:17:08<12:14:49, 1.25s/step] Training: 50%|████▉ | 34718/70000 [12:17:10<12:29:15, 1.27s/step] Training: 50%|████▉ | 34719/70000 [12:17:11<12:14:59, 1.25s/step] Training: 50%|████▉ | 34720/70000 [12:17:12<12:46:50, 1.30s/step] Training: 50%|████▉ | 34721/70000 [12:17:13<12:50:20, 1.31s/step] Training: 50%|████▉ | 34722/70000 [12:17:15<12:29:23, 1.27s/step] Training: 50%|████▉ | 34723/70000 [12:17:16<12:37:52, 1.29s/step] Training: 50%|████▉ | 34724/70000 [12:17:17<12:25:16, 1.27s/step] Training: 50%|████▉ | 34725/70000 [12:17:18<12:11:50, 1.24s/step] Training: 50%|████▉ | 34726/70000 [12:17:20<12:28:47, 1.27s/step] Training: 50%|████▉ | 34727/70000 [12:17:21<12:43:25, 1.30s/step] Training: 50%|████▉ | 34728/70000 [12:17:22<12:26:17, 1.27s/step] Training: 50%|████▉ | 34729/70000 [12:17:24<12:15:20, 1.25s/step] Training: 50%|████▉ | 34730/70000 [12:17:25<12:04:22, 1.23s/step] Training: 50%|████▉ | 34731/70000 [12:17:26<12:02:57, 1.23s/step] Training: 50%|████▉ | 34732/70000 [12:17:27<11:56:35, 1.22s/step] Training: 50%|████▉ | 34733/70000 [12:17:28<12:15:34, 1.25s/step] Training: 50%|████▉ | 34734/70000 [12:17:30<12:37:54, 1.29s/step] Training: 50%|████▉ | 34735/70000 [12:17:31<12:19:54, 1.26s/step] Training: 50%|████▉ | 34736/70000 [12:17:32<12:47:31, 1.31s/step] Training: 50%|████▉ | 34737/70000 [12:17:34<12:51:00, 1.31s/step] Training: 50%|████▉ | 34738/70000 [12:17:35<12:29:14, 1.27s/step] Training: 50%|████▉ | 34739/70000 [12:17:36<12:38:59, 1.29s/step] Training: 50%|████▉ | 34740/70000 [12:17:37<12:20:48, 1.26s/step] Training: 50%|████▉ | 34741/70000 [12:17:39<12:18:21, 1.26s/step] Training: 50%|████▉ | 34742/70000 [12:17:40<12:30:03, 1.28s/step] Training: 50%|████▉ | 34743/70000 [12:17:41<12:15:47, 1.25s/step] Training: 50%|████▉ | 34744/70000 [12:17:43<12:51:00, 1.31s/step] Training: 50%|████▉ | 34745/70000 [12:17:44<12:53:50, 1.32s/step] Training: 50%|████▉ | 34746/70000 [12:17:45<12:30:53, 1.28s/step] Training: 50%|████▉ | 34747/70000 [12:17:47<12:39:18, 1.29s/step] Training: 50%|████▉ | 34748/70000 [12:17:48<12:22:05, 1.26s/step] Training: 50%|████▉ | 34749/70000 [12:17:49<12:14:17, 1.25s/step] Training: 50%|████▉ | 34750/70000 [12:17:50<12:29:04, 1.28s/step] Training: 50%|████▉ | 34751/70000 [12:17:51<12:13:52, 1.25s/step] Training: 50%|████▉ | 34752/70000 [12:17:53<12:10:13, 1.24s/step] Training: 50%|████▉ | 34753/70000 [12:17:54<12:26:24, 1.27s/step] Training: 50%|████▉ | 34754/70000 [12:17:55<12:12:07, 1.25s/step] Training: 50%|████▉ | 34755/70000 [12:17:57<12:26:56, 1.27s/step] Training: 50%|████▉ | 34756/70000 [12:17:58<12:12:18, 1.25s/step] Training: 50%|████▉ | 34757/70000 [12:17:59<12:27:17, 1.27s/step] Training: 50%|████▉ | 34758/70000 [12:18:00<12:36:54, 1.29s/step] Training: 50%|████▉ | 34759/70000 [12:18:02<12:19:40, 1.26s/step] Training: 50%|████▉ | 34760/70000 [12:18:03<12:20:22, 1.26s/step] Training: 50%|████▉ | 34761/70000 [12:18:04<12:11:54, 1.25s/step] Training: 50%|████▉ | 34762/70000 [12:18:05<12:02:09, 1.23s/step] Training: 50%|████▉ | 34763/70000 [12:18:06<11:57:42, 1.22s/step] Training: 50%|████▉ | 34764/70000 [12:18:08<11:51:39, 1.21s/step] Training: 50%|████▉ | 34765/70000 [12:18:09<12:12:23, 1.25s/step] Training: 50%|████▉ | 34766/70000 [12:18:10<12:33:56, 1.28s/step] Training: 50%|████▉ | 34767/70000 [12:18:12<12:16:49, 1.25s/step] Training: 50%|████▉ | 34768/70000 [12:18:13<12:29:23, 1.28s/step] Training: 50%|████▉ | 34769/70000 [12:18:14<12:38:40, 1.29s/step] Training: 50%|████▉ | 34770/70000 [12:18:15<12:20:37, 1.26s/step] Training: 50%|████▉ | 34771/70000 [12:18:17<12:32:55, 1.28s/step] Training: 50%|████▉ | 34772/70000 [12:18:18<12:15:55, 1.25s/step] Training: 50%|████▉ | 34773/70000 [12:18:19<12:28:45, 1.28s/step] Training: 50%|████▉ | 34774/70000 [12:18:21<12:39:51, 1.29s/step] Training: 50%|████▉ | 34775/70000 [12:18:22<12:21:21, 1.26s/step] Training: 50%|████▉ | 34776/70000 [12:18:23<12:32:40, 1.28s/step] Training: 50%|████▉ | 34777/70000 [12:18:25<13:01:25, 1.33s/step] Training: 50%|████▉ | 34778/70000 [12:18:26<12:36:17, 1.29s/step] Training: 50%|████▉ | 34779/70000 [12:18:27<12:43:30, 1.30s/step] Training: 50%|████▉ | 34780/70000 [12:18:28<12:23:53, 1.27s/step] Training: 50%|████▉ | 34781/70000 [12:18:29<12:14:57, 1.25s/step] Training: 50%|████▉ | 34782/70000 [12:18:31<12:29:53, 1.28s/step] Training: 50%|████▉ | 34783/70000 [12:18:32<12:14:25, 1.25s/step] Training: 50%|████▉ | 34784/70000 [12:18:33<12:10:46, 1.25s/step] Training: 50%|████▉ | 34785/70000 [12:18:35<12:42:40, 1.30s/step] Training: 50%|████▉ | 34786/70000 [12:18:36<12:23:49, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=47155 Training: 50%|████▉ | 34787/70000 [12:18:37<12:35:08, 1.29s/step] Training: 50%|████▉ | 34788/70000 [12:18:38<12:18:45, 1.26s/step] Training: 50%|████▉ | 34789/70000 [12:18:40<12:31:07, 1.28s/step] Training: 50%|████▉ | 34790/70000 [12:18:41<12:39:01, 1.29s/step] Training: 50%|████▉ | 34791/70000 [12:18:42<12:21:37, 1.26s/step] Training: 50%|████▉ | 34792/70000 [12:18:43<12:14:13, 1.25s/step] Training: 50%|████▉ | 34793/70000 [12:18:45<12:32:24, 1.28s/step] Training: 50%|████▉ | 34794/70000 [12:18:46<12:13:49, 1.25s/step] Training: 50%|████▉ | 34795/70000 [12:18:47<12:09:09, 1.24s/step] Training: 50%|████▉ | 34796/70000 [12:18:48<12:00:55, 1.23s/step] Training: 50%|████▉ | 34797/70000 [12:18:50<12:18:44, 1.26s/step] Training: 50%|████▉ | 34798/70000 [12:18:51<12:41:05, 1.30s/step] Training: 50%|████▉ | 34799/70000 [12:18:52<12:22:17, 1.27s/step] Training: 50%|████▉ | 34800/70000 [12:18:54<12:33:57, 1.29s/step]INFO 2026-03-13 08:28:46 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.50 loss:0.018 grdn:1.857 lr:1.3e-05 updt_s:1.251 data_s:0.019 Training: 50%|████▉ | 34801/70000 [12:18:55<12:46:18, 1.31s/step] Training: 50%|████▉ | 34802/70000 [12:18:56<12:24:34, 1.27s/step] Training: 50%|████▉ | 34803/70000 [12:18:57<12:34:25, 1.29s/step] Training: 50%|████▉ | 34804/70000 [12:18:59<12:17:40, 1.26s/step] Training: 50%|████▉ | 34805/70000 [12:19:00<12:29:09, 1.28s/step] Training: 50%|████▉ | 34806/70000 [12:19:01<12:40:31, 1.30s/step] Training: 50%|████▉ | 34807/70000 [12:19:02<12:21:24, 1.26s/step] Training: 50%|████▉ | 34808/70000 [12:19:04<12:33:37, 1.28s/step] Training: 50%|████▉ | 34809/70000 [12:19:05<12:40:48, 1.30s/step] Training: 50%|████▉ | 34810/70000 [12:19:06<12:48:30, 1.31s/step] Training: 50%|████▉ | 34811/70000 [12:19:08<12:49:36, 1.31s/step] Training: 50%|████▉ | 34812/70000 [12:19:09<12:28:24, 1.28s/step] Training: 50%|████▉ | 34813/70000 [12:19:10<12:17:22, 1.26s/step] Training: 50%|████▉ | 34814/70000 [12:19:12<12:33:45, 1.29s/step] Training: 50%|████▉ | 34815/70000 [12:19:13<12:39:51, 1.30s/step] Training: 50%|████▉ | 34816/70000 [12:19:14<12:26:28, 1.27s/step] Training: 50%|████▉ | 34817/70000 [12:19:15<12:36:36, 1.29s/step] Training: 50%|████▉ | 34818/70000 [12:19:17<12:44:26, 1.30s/step] Training: 50%|████▉ | 34819/70000 [12:19:18<12:46:45, 1.31s/step] Training: 50%|████▉ | 34820/70000 [12:19:19<12:27:00, 1.27s/step] Training: 50%|████▉ | 34821/70000 [12:19:21<12:37:27, 1.29s/step] Training: 50%|████▉ | 34822/70000 [12:19:22<12:43:48, 1.30s/step] Training: 50%|████▉ | 34823/70000 [12:19:23<12:38:02, 1.29s/step] Training: 50%|████▉ | 34824/70000 [12:19:24<12:23:11, 1.27s/step] Training: 50%|████▉ | 34825/70000 [12:19:26<12:13:30, 1.25s/step] Training: 50%|████▉ | 34826/70000 [12:19:27<12:07:37, 1.24s/step] Training: 50%|████▉ | 34827/70000 [12:19:28<12:00:15, 1.23s/step] Training: 50%|████▉ | 34828/70000 [12:19:29<11:54:27, 1.22s/step] Training: 50%|████▉ | 34829/70000 [12:19:31<12:16:19, 1.26s/step] Training: 50%|████▉ | 34830/70000 [12:19:32<12:35:36, 1.29s/step] Training: 50%|████▉ | 34831/70000 [12:19:33<12:22:34, 1.27s/step] Training: 50%|████▉ | 34832/70000 [12:19:35<12:34:41, 1.29s/step] Training: 50%|████▉ | 34833/70000 [12:19:36<12:43:15, 1.30s/step] Training: 50%|████▉ | 34834/70000 [12:19:37<12:36:03, 1.29s/step] Training: 50%|████▉ | 34835/70000 [12:19:38<12:42:36, 1.30s/step] Training: 50%|████▉ | 34836/70000 [12:19:40<12:23:49, 1.27s/step] Training: 50%|████▉ | 34837/70000 [12:19:41<12:34:58, 1.29s/step] Training: 50%|████▉ | 34838/70000 [12:19:42<12:42:30, 1.30s/step] Training: 50%|████▉ | 34839/70000 [12:19:44<12:46:49, 1.31s/step] Training: 50%|████▉ | 34840/70000 [12:19:45<12:50:04, 1.31s/step] Training: 50%|████▉ | 34841/70000 [12:19:46<12:51:15, 1.32s/step] Training: 50%|████▉ | 34842/70000 [12:19:47<12:29:33, 1.28s/step] Training: 50%|████▉ | 34843/70000 [12:19:49<12:51:06, 1.32s/step] Training: 50%|████▉ | 34844/70000 [12:19:50<12:29:16, 1.28s/step] Training: 50%|████▉ | 34845/70000 [12:19:51<12:18:16, 1.26s/step] Training: 50%|████▉ | 34846/70000 [12:19:53<12:34:09, 1.29s/step] Training: 50%|████▉ | 34847/70000 [12:19:54<12:41:33, 1.30s/step] Training: 50%|████▉ | 34848/70000 [12:19:55<12:29:20, 1.28s/step] Training: 50%|████▉ | 34849/70000 [12:19:57<12:36:47, 1.29s/step] Training: 50%|████▉ | 34850/70000 [12:19:58<12:19:12, 1.26s/step] Training: 50%|████▉ | 34851/70000 [12:19:59<12:47:33, 1.31s/step] Training: 50%|████▉ | 34852/70000 [12:20:00<12:26:35, 1.27s/step] Training: 50%|████▉ | 34853/70000 [12:20:02<12:34:34, 1.29s/step] Training: 50%|████▉ | 34854/70000 [12:20:03<12:43:01, 1.30s/step] Training: 50%|████▉ | 34855/70000 [12:20:04<12:47:47, 1.31s/step] Training: 50%|████▉ | 34856/70000 [12:20:06<12:31:32, 1.28s/step] Training: 50%|████▉ | 34857/70000 [12:20:07<12:18:57, 1.26s/step] Training: 50%|████▉ | 34858/70000 [12:20:08<12:06:32, 1.24s/step] Training: 50%|████▉ | 34859/70000 [12:20:09<12:00:49, 1.23s/step] Training: 50%|████▉ | 34860/70000 [12:20:10<12:24:14, 1.27s/step] Training: 50%|████▉ | 34861/70000 [12:20:12<12:38:26, 1.30s/step] Training: 50%|████▉ | 34862/70000 [12:20:13<12:28:13, 1.28s/step] Training: 50%|████▉ | 34863/70000 [12:20:14<12:36:51, 1.29s/step] Training: 50%|████▉ | 34864/70000 [12:20:16<12:43:53, 1.30s/step] Training: 50%|████▉ | 34865/70000 [12:20:17<12:49:02, 1.31s/step] Training: 50%|████▉ | 34866/70000 [12:20:18<12:27:51, 1.28s/step] Training: 50%|████▉ | 34867/70000 [12:20:20<12:42:59, 1.30s/step] Training: 50%|████▉ | 34868/70000 [12:20:21<12:21:27, 1.27s/step] Training: 50%|████▉ | 34869/70000 [12:20:22<12:32:53, 1.29s/step] Training: 50%|████▉ | 34870/70000 [12:20:23<12:20:30, 1.26s/step] Training: 50%|████▉ | 34871/70000 [12:20:25<12:32:58, 1.29s/step] Training: 50%|████▉ | 34872/70000 [12:20:26<12:39:17, 1.30s/step] Training: 50%|████▉ | 34873/70000 [12:20:27<12:43:59, 1.30s/step] Training: 50%|████▉ | 34874/70000 [12:20:29<12:25:24, 1.27s/step] Training: 50%|████▉ | 34875/70000 [12:20:30<12:34:58, 1.29s/step] Training: 50%|████▉ | 34876/70000 [12:20:31<12:45:21, 1.31s/step] Training: 50%|████▉ | 34877/70000 [12:20:32<12:28:34, 1.28s/step] Training: 50%|████▉ | 34878/70000 [12:20:34<12:39:16, 1.30s/step] Training: 50%|████▉ | 34879/70000 [12:20:35<12:44:47, 1.31s/step] Training: 50%|████▉ | 34880/70000 [12:20:36<12:30:58, 1.28s/step] Training: 50%|████▉ | 34881/70000 [12:20:38<12:38:15, 1.30s/step] Training: 50%|████▉ | 34882/70000 [12:20:39<12:19:46, 1.26s/step] Training: 50%|████▉ | 34883/70000 [12:20:40<12:30:40, 1.28s/step] Training: 50%|████▉ | 34884/70000 [12:20:42<12:42:39, 1.30s/step] Training: 50%|████▉ | 34885/70000 [12:20:43<12:45:39, 1.31s/step] Training: 50%|████▉ | 34886/70000 [12:20:44<12:49:24, 1.31s/step] Training: 50%|████▉ | 34887/70000 [12:20:45<12:52:24, 1.32s/step] Training: 50%|████▉ | 34888/70000 [12:20:47<12:33:03, 1.29s/step] Training: 50%|████▉ | 34889/70000 [12:20:48<12:19:27, 1.26s/step] Training: 50%|████▉ | 34890/70000 [12:20:49<12:06:05, 1.24s/step] Training: 50%|████▉ | 34891/70000 [12:20:50<11:59:47, 1.23s/step] Training: 50%|████▉ | 34892/70000 [12:20:52<11:52:58, 1.22s/step] Training: 50%|████▉ | 34893/70000 [12:20:53<12:12:33, 1.25s/step] Training: 50%|████▉ | 34894/70000 [12:20:54<12:10:03, 1.25s/step] Training: 50%|████▉ | 34895/70000 [12:20:55<12:22:42, 1.27s/step] Training: 50%|████▉ | 34896/70000 [12:20:57<12:33:28, 1.29s/step] Training: 50%|████▉ | 34897/70000 [12:20:58<12:39:32, 1.30s/step] Training: 50%|████▉ | 34898/70000 [12:20:59<12:21:05, 1.27s/step] Training: 50%|████▉ | 34899/70000 [12:21:01<12:30:21, 1.28s/step] Training: 50%|████▉ | 34900/70000 [12:21:02<12:18:35, 1.26s/step]INFO 2026-03-13 08:30:54 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.58 loss:0.018 grdn:2.585 lr:1.3e-05 updt_s:1.261 data_s:0.019 Training: 50%|████▉ | 34901/70000 [12:21:03<12:32:18, 1.29s/step] Training: 50%|████▉ | 34902/70000 [12:21:04<12:39:41, 1.30s/step] Training: 50%|████▉ | 34903/70000 [12:21:06<12:43:39, 1.31s/step] Training: 50%|████▉ | 34904/70000 [12:21:07<12:47:25, 1.31s/step] Training: 50%|████▉ | 34905/70000 [12:21:08<12:50:24, 1.32s/step] Training: 50%|████▉ | 34906/70000 [12:21:10<12:29:02, 1.28s/step] Training: 50%|████▉ | 34907/70000 [12:21:11<12:37:23, 1.29s/step] Training: 50%|████▉ | 34908/70000 [12:21:12<12:32:01, 1.29s/step] Training: 50%|████▉ | 34909/70000 [12:21:13<12:16:54, 1.26s/step] Training: 50%|████▉ | 34910/70000 [12:21:15<12:08:41, 1.25s/step] Training: 50%|████▉ | 34911/70000 [12:21:16<12:39:26, 1.30s/step] Training: 50%|████▉ | 34912/70000 [12:21:17<12:45:24, 1.31s/step] Training: 50%|████▉ | 34913/70000 [12:21:19<12:47:29, 1.31s/step] Training: 50%|████▉ | 34914/70000 [12:21:20<12:26:13, 1.28s/step] Training: 50%|████▉ | 34915/70000 [12:21:21<12:35:23, 1.29s/step] Training: 50%|████▉ | 34916/70000 [12:21:22<12:17:54, 1.26s/step] Training: 50%|████▉ | 34917/70000 [12:21:24<12:45:12, 1.31s/step] Training: 50%|████▉ | 34918/70000 [12:21:25<12:49:50, 1.32s/step] Training: 50%|████▉ | 34919/70000 [12:21:26<12:34:16, 1.29s/step] Training: 50%|████▉ | 34920/70000 [12:21:28<12:17:59, 1.26s/step] Training: 50%|████▉ | 34921/70000 [12:21:29<12:09:38, 1.25s/step] Training: 50%|████▉ | 34922/70000 [12:21:30<11:59:43, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=47155 Training: 50%|████▉ | 34923/70000 [12:21:31<11:56:02, 1.22s/step] Training: 50%|████▉ | 34924/70000 [12:21:32<11:49:56, 1.21s/step] Training: 50%|████▉ | 34925/70000 [12:21:34<12:23:37, 1.27s/step] Training: 50%|████▉ | 34926/70000 [12:21:35<12:14:26, 1.26s/step] Training: 50%|████▉ | 34927/70000 [12:21:36<12:06:05, 1.24s/step] Training: 50%|████▉ | 34928/70000 [12:21:38<12:21:01, 1.27s/step] Training: 50%|████▉ | 34929/70000 [12:21:39<12:32:35, 1.29s/step] Training: 50%|████▉ | 34930/70000 [12:21:40<12:15:49, 1.26s/step] Training: 50%|████▉ | 34931/70000 [12:21:41<12:27:44, 1.28s/step] Training: 50%|████▉ | 34932/70000 [12:21:43<12:12:06, 1.25s/step] Training: 50%|████▉ | 34933/70000 [12:21:44<12:24:26, 1.27s/step] Training: 50%|████▉ | 34934/70000 [12:21:45<12:54:59, 1.33s/step] Training: 50%|████▉ | 34935/70000 [12:21:47<12:55:20, 1.33s/step] Training: 50%|████▉ | 34936/70000 [12:21:48<12:56:25, 1.33s/step] Training: 50%|████▉ | 34937/70000 [12:21:49<12:58:23, 1.33s/step] Training: 50%|████▉ | 34938/70000 [12:21:51<12:33:53, 1.29s/step] Training: 50%|████▉ | 34939/70000 [12:21:52<12:40:38, 1.30s/step] Training: 50%|████▉ | 34940/70000 [12:21:53<12:20:46, 1.27s/step] Training: 50%|████▉ | 34941/70000 [12:21:54<12:37:06, 1.30s/step] Training: 50%|████▉ | 34942/70000 [12:21:56<12:40:27, 1.30s/step] Training: 50%|████▉ | 34943/70000 [12:21:57<12:44:55, 1.31s/step] Training: 50%|████▉ | 34944/70000 [12:21:58<12:48:24, 1.32s/step] Training: 50%|████▉ | 34945/70000 [12:22:00<12:50:32, 1.32s/step] Training: 50%|████▉ | 34946/70000 [12:22:01<12:27:44, 1.28s/step] Training: 50%|████▉ | 34947/70000 [12:22:02<12:36:20, 1.29s/step] Training: 50%|████▉ | 34948/70000 [12:22:03<12:18:16, 1.26s/step] Training: 50%|████▉ | 34949/70000 [12:22:05<12:29:31, 1.28s/step] Training: 50%|████▉ | 34950/70000 [12:22:06<12:59:00, 1.33s/step] Training: 50%|████▉ | 34951/70000 [12:22:07<12:40:50, 1.30s/step] Training: 50%|████▉ | 34952/70000 [12:22:09<12:27:32, 1.28s/step] Training: 50%|████▉ | 34953/70000 [12:22:10<12:15:40, 1.26s/step] Training: 50%|████▉ | 34954/70000 [12:22:11<12:05:18, 1.24s/step] Training: 50%|████▉ | 34955/70000 [12:22:12<11:59:12, 1.23s/step] Training: 50%|████▉ | 34956/70000 [12:22:13<11:52:19, 1.22s/step] Training: 50%|████▉ | 34957/70000 [12:22:15<12:10:33, 1.25s/step] Training: 50%|████▉ | 34958/70000 [12:22:16<12:27:00, 1.28s/step] Training: 50%|████▉ | 34959/70000 [12:22:17<12:13:36, 1.26s/step] Training: 50%|████▉ | 34960/70000 [12:22:19<12:27:35, 1.28s/step] Training: 50%|████▉ | 34961/70000 [12:22:20<12:37:22, 1.30s/step] Training: 50%|████▉ | 34962/70000 [12:22:21<12:18:50, 1.27s/step] Training: 50%|████▉ | 34963/70000 [12:22:23<12:31:00, 1.29s/step] Training: 50%|████▉ | 34964/70000 [12:22:24<12:13:42, 1.26s/step] Training: 50%|████▉ | 34965/70000 [12:22:25<12:24:49, 1.28s/step] Training: 50%|████▉ | 34966/70000 [12:22:26<12:37:59, 1.30s/step] Training: 50%|████▉ | 34967/70000 [12:22:28<12:42:36, 1.31s/step] Training: 50%|████▉ | 34968/70000 [12:22:29<12:47:16, 1.31s/step] Training: 50%|████▉ | 34969/70000 [12:22:30<12:49:40, 1.32s/step] Training: 50%|████▉ | 34970/70000 [12:22:32<12:27:50, 1.28s/step] Training: 50%|████▉ | 34971/70000 [12:22:33<12:35:13, 1.29s/step] Training: 50%|████▉ | 34972/70000 [12:22:34<12:17:27, 1.26s/step] Training: 50%|████▉ | 34973/70000 [12:22:35<12:10:17, 1.25s/step] Training: 50%|████▉ | 34974/70000 [12:22:37<12:37:40, 1.30s/step] Training: 50%|████▉ | 34975/70000 [12:22:38<12:19:43, 1.27s/step] Training: 50%|████▉ | 34976/70000 [12:22:39<12:51:31, 1.32s/step] Training: 50%|████▉ | 34977/70000 [12:22:41<12:56:53, 1.33s/step] Training: 50%|████▉ | 34978/70000 [12:22:42<12:33:24, 1.29s/step] Training: 50%|████▉ | 34979/70000 [12:22:43<12:39:32, 1.30s/step] Training: 50%|████▉ | 34980/70000 [12:22:44<12:20:27, 1.27s/step] Training: 50%|████▉ | 34981/70000 [12:22:46<12:32:26, 1.29s/step] Training: 50%|████▉ | 34982/70000 [12:22:47<12:43:47, 1.31s/step] Training: 50%|████▉ | 34983/70000 [12:22:48<12:23:43, 1.27s/step] Training: 50%|████▉ | 34984/70000 [12:22:50<12:29:04, 1.28s/step] Training: 50%|████▉ | 34985/70000 [12:22:51<12:15:31, 1.26s/step] Training: 50%|████▉ | 34986/70000 [12:22:52<12:03:31, 1.24s/step] Training: 50%|████▉ | 34987/70000 [12:22:53<11:59:15, 1.23s/step] Training: 50%|████▉ | 34988/70000 [12:22:54<11:52:28, 1.22s/step] Training: 50%|████▉ | 34989/70000 [12:22:56<12:11:10, 1.25s/step] Training: 50%|████▉ | 34990/70000 [12:22:57<12:07:21, 1.25s/step] Training: 50%|████▉ | 34991/70000 [12:22:58<12:24:22, 1.28s/step] Training: 50%|████▉ | 34992/70000 [12:23:00<12:31:10, 1.29s/step] Training: 50%|████▉ | 34993/70000 [12:23:01<12:38:34, 1.30s/step] Training: 50%|████▉ | 34994/70000 [12:23:02<12:21:04, 1.27s/step] Training: 50%|████▉ | 34995/70000 [12:23:04<12:31:31, 1.29s/step] Training: 50%|████▉ | 34996/70000 [12:23:05<12:14:41, 1.26s/step] Training: 50%|████▉ | 34997/70000 [12:23:06<12:26:19, 1.28s/step] Training: 50%|████▉ | 34998/70000 [12:23:07<12:37:01, 1.30s/step] Training: 50%|████▉ | 34999/70000 [12:23:09<12:35:54, 1.30s/step] Training: 50%|█████ | 35000/70000 [12:23:10<12:52:32, 1.32s/step]INFO 2026-03-13 08:33:02 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.67 loss:0.017 grdn:2.450 lr:1.3e-05 updt_s:1.262 data_s:0.019 Training: 50%|█████ | 35001/70000 [12:23:11<12:52:50, 1.32s/step] Training: 50%|█████ | 35002/70000 [12:23:13<12:28:49, 1.28s/step] Training: 50%|█████ | 35003/70000 [12:23:14<12:36:47, 1.30s/step] Training: 50%|█████ | 35004/70000 [12:23:15<12:18:32, 1.27s/step] Training: 50%|█████ | 35005/70000 [12:23:16<12:08:56, 1.25s/step] Training: 50%|█████ | 35006/70000 [12:23:18<12:27:48, 1.28s/step] Training: 50%|█████ | 35007/70000 [12:23:19<12:39:17, 1.30s/step] Training: 50%|█████ | 35008/70000 [12:23:20<12:41:53, 1.31s/step] Training: 50%|█████ | 35009/70000 [12:23:22<12:45:27, 1.31s/step] Training: 50%|█████ | 35010/70000 [12:23:23<12:24:01, 1.28s/step] Training: 50%|█████ | 35011/70000 [12:23:24<12:32:26, 1.29s/step] Training: 50%|█████ | 35012/70000 [12:23:25<12:14:37, 1.26s/step] Training: 50%|█████ | 35013/70000 [12:23:27<12:27:33, 1.28s/step] Training: 50%|█████ | 35014/70000 [12:23:28<12:38:59, 1.30s/step] Training: 50%|█████ | 35015/70000 [12:23:29<12:47:49, 1.32s/step] Training: 50%|█████ | 35016/70000 [12:23:31<12:26:47, 1.28s/step] Training: 50%|█████ | 35017/70000 [12:23:32<12:15:39, 1.26s/step] Training: 50%|█████ | 35018/70000 [12:23:33<12:03:28, 1.24s/step] Training: 50%|█████ | 35019/70000 [12:23:34<11:57:47, 1.23s/step] Training: 50%|█████ | 35020/70000 [12:23:35<11:49:59, 1.22s/step] Training: 50%|█████ | 35021/70000 [12:23:37<12:08:06, 1.25s/step] Training: 50%|█████ | 35022/70000 [12:23:38<12:09:57, 1.25s/step] Training: 50%|█████ | 35023/70000 [12:23:39<11:59:23, 1.23s/step] Training: 50%|█████ | 35024/70000 [12:23:41<12:35:58, 1.30s/step] Training: 50%|█████ | 35025/70000 [12:23:42<12:43:08, 1.31s/step] Training: 50%|█████ | 35026/70000 [12:23:43<12:22:08, 1.27s/step] Training: 50%|█████ | 35027/70000 [12:23:44<12:29:50, 1.29s/step] Training: 50%|█████ | 35028/70000 [12:23:46<12:12:35, 1.26s/step] Training: 50%|█████ | 35029/70000 [12:23:47<12:24:50, 1.28s/step] Training: 50%|█████ | 35030/70000 [12:23:48<12:15:30, 1.26s/step] Training: 50%|█████ | 35031/70000 [12:23:50<12:30:03, 1.29s/step] Training: 50%|█████ | 35032/70000 [12:23:51<12:56:15, 1.33s/step] Training: 50%|█████ | 35033/70000 [12:23:52<12:53:51, 1.33s/step] Training: 50%|█████ | 35034/70000 [12:23:54<12:29:33, 1.29s/step] Training: 50%|█████ | 35035/70000 [12:23:55<12:36:02, 1.30s/step] Training: 50%|█████ | 35036/70000 [12:23:56<12:16:56, 1.26s/step] Training: 50%|█████ | 35037/70000 [12:23:57<12:07:37, 1.25s/step] Training: 50%|█████ | 35038/70000 [12:23:59<12:21:22, 1.27s/step] Training: 50%|█████ | 35039/70000 [12:24:00<12:22:50, 1.27s/step] Training: 50%|█████ | 35040/70000 [12:24:01<12:36:32, 1.30s/step] Training: 50%|█████ | 35041/70000 [12:24:03<12:43:59, 1.31s/step] Training: 50%|█████ | 35042/70000 [12:24:04<12:23:04, 1.28s/step] Training: 50%|█████ | 35043/70000 [12:24:05<12:31:26, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=13831 Training: 50%|█████ | 35044/70000 [12:24:06<12:13:50, 1.26s/step] Training: 50%|█████ | 35045/70000 [12:24:08<12:27:02, 1.28s/step] Training: 50%|█████ | 35046/70000 [12:24:09<12:35:06, 1.30s/step] Training: 50%|█████ | 35047/70000 [12:24:10<12:16:28, 1.26s/step] Training: 50%|█████ | 35048/70000 [12:24:11<12:18:12, 1.27s/step] Training: 50%|█████ | 35049/70000 [12:24:13<12:12:05, 1.26s/step] Training: 50%|█████ | 35050/70000 [12:24:14<12:00:36, 1.24s/step] Training: 50%|█████ | 35051/70000 [12:24:15<11:55:13, 1.23s/step] Training: 50%|█████ | 35052/70000 [12:24:16<11:48:57, 1.22s/step] Training: 50%|█████ | 35053/70000 [12:24:18<12:08:21, 1.25s/step] Training: 50%|█████ | 35054/70000 [12:24:19<12:05:16, 1.25s/step] Training: 50%|█████ | 35055/70000 [12:24:20<12:22:24, 1.27s/step] Training: 50%|█████ | 35056/70000 [12:24:21<12:30:35, 1.29s/step] Training: 50%|█████ | 35057/70000 [12:24:23<12:38:34, 1.30s/step] Training: 50%|█████ | 35058/70000 [12:24:24<12:19:50, 1.27s/step] Training: 50%|█████ | 35059/70000 [12:24:25<12:28:55, 1.29s/step] Training: 50%|█████ | 35060/70000 [12:24:26<12:12:35, 1.26s/step] Training: 50%|█████ | 35061/70000 [12:24:28<12:27:14, 1.28s/step] Training: 50%|█████ | 35062/70000 [12:24:29<12:18:17, 1.27s/step] Training: 50%|█████ | 35063/70000 [12:24:30<12:10:09, 1.25s/step] Training: 50%|█████ | 35064/70000 [12:24:32<12:22:26, 1.28s/step] Training: 50%|█████ | 35065/70000 [12:24:33<12:54:35, 1.33s/step] Training: 50%|█████ | 35066/70000 [12:24:34<12:29:52, 1.29s/step] Training: 50%|█████ | 35067/70000 [12:24:36<12:35:54, 1.30s/step] Training: 50%|█████ | 35068/70000 [12:24:37<12:17:40, 1.27s/step] Training: 50%|█████ | 35069/70000 [12:24:38<12:08:12, 1.25s/step] Training: 50%|█████ | 35070/70000 [12:24:39<12:23:05, 1.28s/step] Training: 50%|█████ | 35071/70000 [12:24:41<12:13:35, 1.26s/step] Training: 50%|█████ | 35072/70000 [12:24:42<12:33:43, 1.29s/step] Training: 50%|█████ | 35073/70000 [12:24:43<12:56:29, 1.33s/step] Training: 50%|█████ | 35074/70000 [12:24:44<12:31:01, 1.29s/step] Training: 50%|█████ | 35075/70000 [12:24:46<12:36:16, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=13831 Training: 50%|█████ | 35076/70000 [12:24:47<12:16:33, 1.27s/step] Training: 50%|█████ | 35077/70000 [12:24:48<12:27:42, 1.28s/step] Training: 50%|█████ | 35078/70000 [12:24:50<12:34:43, 1.30s/step] Training: 50%|█████ | 35079/70000 [12:24:51<12:16:30, 1.27s/step] Training: 50%|█████ | 35080/70000 [12:24:52<12:25:29, 1.28s/step] Training: 50%|█████ | 35081/70000 [12:24:54<12:37:11, 1.30s/step] Training: 50%|█████ | 35082/70000 [12:24:55<12:15:35, 1.26s/step] Training: 50%|█████ | 35083/70000 [12:24:56<12:05:05, 1.25s/step] Training: 50%|█████ | 35084/70000 [12:24:57<11:55:53, 1.23s/step] Training: 50%|█████ | 35085/70000 [12:24:58<12:16:22, 1.27s/step] Training: 50%|█████ | 35086/70000 [12:25:00<12:11:54, 1.26s/step] Training: 50%|█████ | 35087/70000 [12:25:01<11:59:21, 1.24s/step] Training: 50%|█████ | 35088/70000 [12:25:02<12:17:27, 1.27s/step] Training: 50%|█████ | 35089/70000 [12:25:04<12:33:01, 1.29s/step] Training: 50%|█████ | 35090/70000 [12:25:05<12:13:18, 1.26s/step] Training: 50%|█████ | 35091/70000 [12:25:06<12:24:44, 1.28s/step] Training: 50%|█████ | 35092/70000 [12:25:07<12:09:38, 1.25s/step] Training: 50%|█████ | 35093/70000 [12:25:09<12:24:11, 1.28s/step] Training: 50%|█████ | 35094/70000 [12:25:10<12:12:47, 1.26s/step] Training: 50%|█████ | 35095/70000 [12:25:11<12:07:32, 1.25s/step] Training: 50%|█████ | 35096/70000 [12:25:12<12:23:45, 1.28s/step] Training: 50%|█████ | 35097/70000 [12:25:14<12:31:59, 1.29s/step] Training: 50%|█████ | 35098/70000 [12:25:15<12:40:46, 1.31s/step] Training: 50%|█████ | 35099/70000 [12:25:16<12:42:14, 1.31s/step] Training: 50%|█████ | 35100/70000 [12:25:18<12:21:01, 1.27s/step]INFO 2026-03-13 08:35:10 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.75 loss:0.018 grdn:2.283 lr:1.3e-05 updt_s:1.254 data_s:0.019 Training: 50%|█████ | 35101/70000 [12:25:19<12:10:33, 1.26s/step] Training: 50%|█████ | 35102/70000 [12:25:20<12:24:35, 1.28s/step] Training: 50%|█████ | 35103/70000 [12:25:21<12:12:23, 1.26s/step] Training: 50%|█████ | 35104/70000 [12:25:23<12:34:18, 1.30s/step] Training: 50%|█████ | 35105/70000 [12:25:24<12:39:11, 1.31s/step] Training: 50%|█████ | 35106/70000 [12:25:25<12:46:57, 1.32s/step] Training: 50%|█████ | 35107/70000 [12:25:27<12:29:33, 1.29s/step] Training: 50%|█████ | 35108/70000 [12:25:28<12:11:43, 1.26s/step] Training: 50%|█████ | 35109/70000 [12:25:29<12:25:04, 1.28s/step] Training: 50%|█████ | 35110/70000 [12:25:30<12:32:17, 1.29s/step] Training: 50%|█████ | 35111/70000 [12:25:32<12:37:17, 1.30s/step] Training: 50%|█████ | 35112/70000 [12:25:33<12:24:54, 1.28s/step] Training: 50%|█████ | 35113/70000 [12:25:34<12:12:33, 1.26s/step] Training: 50%|█████ | 35114/70000 [12:25:35<12:08:27, 1.25s/step] Training: 50%|█████ | 35115/70000 [12:25:37<11:59:58, 1.24s/step] Training: 50%|█████ | 35116/70000 [12:25:38<11:51:26, 1.22s/step] Training: 50%|█████ | 35117/70000 [12:25:39<12:08:37, 1.25s/step] Training: 50%|█████ | 35118/70000 [12:25:40<12:05:04, 1.25s/step] Training: 50%|█████ | 35119/70000 [12:25:42<12:20:50, 1.27s/step] Training: 50%|█████ | 35120/70000 [12:25:43<12:30:48, 1.29s/step] Training: 50%|█████ | 35121/70000 [12:25:44<12:38:33, 1.30s/step] Training: 50%|█████ | 35122/70000 [12:25:46<12:30:56, 1.29s/step] Training: 50%|█████ | 35123/70000 [12:25:47<12:35:06, 1.30s/step] Training: 50%|█████ | 35124/70000 [12:25:48<12:16:04, 1.27s/step] Training: 50%|█████ | 35125/70000 [12:25:49<12:26:05, 1.28s/step] Training: 50%|█████ | 35126/70000 [12:25:51<12:13:35, 1.26s/step] Training: 50%|█████ | 35127/70000 [12:25:52<12:07:54, 1.25s/step] Training: 50%|█████ | 35128/70000 [12:25:53<12:23:44, 1.28s/step] Training: 50%|█████ | 35129/70000 [12:25:55<12:33:54, 1.30s/step] Training: 50%|█████ | 35130/70000 [12:25:56<12:15:02, 1.26s/step] Training: 50%|█████ | 35131/70000 [12:25:57<12:44:51, 1.32s/step] Training: 50%|█████ | 35132/70000 [12:25:58<12:22:47, 1.28s/step] Training: 50%|█████ | 35133/70000 [12:26:00<12:13:03, 1.26s/step] Training: 50%|█████ | 35134/70000 [12:26:01<12:24:11, 1.28s/step] Training: 50%|█████ | 35135/70000 [12:26:02<12:13:26, 1.26s/step] Training: 50%|█████ | 35136/70000 [12:26:04<12:33:03, 1.30s/step] Training: 50%|█████ | 35137/70000 [12:26:05<12:37:13, 1.30s/step] Training: 50%|█████ | 35138/70000 [12:26:06<12:17:32, 1.27s/step] Training: 50%|█████ | 35139/70000 [12:26:07<12:15:07, 1.27s/step] Training: 50%|█████ | 35140/70000 [12:26:09<12:01:45, 1.24s/step] Training: 50%|█████ | 35141/70000 [12:26:10<12:17:04, 1.27s/step] Training: 50%|█████ | 35142/70000 [12:26:11<12:26:48, 1.29s/step] Training: 50%|█████ | 35143/70000 [12:26:13<12:34:48, 1.30s/step] Training: 50%|█████ | 35144/70000 [12:26:14<12:23:00, 1.28s/step] Training: 50%|█████ | 35145/70000 [12:26:15<12:12:00, 1.26s/step] Training: 50%|█████ | 35146/70000 [12:26:16<12:00:16, 1.24s/step] Training: 50%|█████ | 35147/70000 [12:26:17<12:00:08, 1.24s/step] Training: 50%|█████ | 35148/70000 [12:26:19<11:50:28, 1.22s/step] Training: 50%|█████ | 35149/70000 [12:26:20<12:08:27, 1.25s/step] Training: 50%|█████ | 35150/70000 [12:26:21<12:03:44, 1.25s/step] Training: 50%|█████ | 35151/70000 [12:26:22<12:19:14, 1.27s/step] Training: 50%|█████ | 35152/70000 [12:26:24<12:28:06, 1.29s/step] Training: 50%|█████ | 35153/70000 [12:26:25<12:36:41, 1.30s/step] Training: 50%|█████ | 35154/70000 [12:26:26<12:17:18, 1.27s/step] Training: 50%|█████ | 35155/70000 [12:26:28<12:27:28, 1.29s/step] Training: 50%|█████ | 35156/70000 [12:26:29<12:38:02, 1.31s/step] Training: 50%|█████ | 35157/70000 [12:26:30<12:40:03, 1.31s/step] Training: 50%|█████ | 35158/70000 [12:26:32<12:22:29, 1.28s/step] Training: 50%|█████ | 35159/70000 [12:26:33<12:14:28, 1.26s/step] Training: 50%|█████ | 35160/70000 [12:26:34<12:23:57, 1.28s/step] Training: 50%|█████ | 35161/70000 [12:26:35<12:34:13, 1.30s/step] Training: 50%|█████ | 35162/70000 [12:26:37<12:15:32, 1.27s/step] Training: 50%|█████ | 35163/70000 [12:26:38<12:25:51, 1.28s/step] Training: 50%|█████ | 35164/70000 [12:26:39<12:25:58, 1.28s/step] Training: 50%|█████ | 35165/70000 [12:26:40<12:11:26, 1.26s/step] Training: 50%|█████ | 35166/70000 [12:26:42<12:25:41, 1.28s/step] Training: 50%|█████ | 35167/70000 [12:26:43<12:11:55, 1.26s/step] Training: 50%|█████ | 35168/70000 [12:26:44<12:36:26, 1.30s/step] Training: 50%|█████ | 35169/70000 [12:26:46<12:40:41, 1.31s/step] Training: 50%|█████ | 35170/70000 [12:26:47<12:19:10, 1.27s/step] Training: 50%|█████ | 35171/70000 [12:26:48<12:10:49, 1.26s/step] Training: 50%|█████ | 35172/70000 [12:26:49<12:28:16, 1.29s/step] Training: 50%|█████ | 35173/70000 [12:26:51<12:32:42, 1.30s/step] Training: 50%|█████ | 35174/70000 [12:26:52<12:37:52, 1.31s/step] Training: 50%|█████ | 35175/70000 [12:26:53<12:41:10, 1.31s/step] Training: 50%|█████ | 35176/70000 [12:26:55<12:43:05, 1.31s/step] Training: 50%|█████ | 35177/70000 [12:26:56<12:23:48, 1.28s/step] Training: 50%|█████ | 35178/70000 [12:26:57<12:07:38, 1.25s/step] Training: 50%|█████ | 35179/70000 [12:26:58<11:58:47, 1.24s/step] Training: 50%|█████ | 35180/70000 [12:27:00<12:19:57, 1.28s/step] Training: 50%|█████ | 35181/70000 [12:27:01<12:27:11, 1.29s/step] Training: 50%|█████ | 35182/70000 [12:27:02<12:15:22, 1.27s/step] Training: 50%|█████ | 35183/70000 [12:27:04<12:24:45, 1.28s/step] Training: 50%|█████ | 35184/70000 [12:27:05<12:31:33, 1.30s/step] Training: 50%|█████ | 35185/70000 [12:27:06<12:35:45, 1.30s/step] Training: 50%|█████ | 35186/70000 [12:27:07<12:16:11, 1.27s/step] Training: 50%|█████ | 35187/70000 [12:27:09<12:27:56, 1.29s/step] Training: 50%|█████ | 35188/70000 [12:27:10<12:10:26, 1.26s/step] Training: 50%|█████ | 35189/70000 [12:27:11<12:45:21, 1.32s/step] Training: 50%|█████ | 35190/70000 [12:27:13<12:25:59, 1.29s/step] Training: 50%|█████ | 35191/70000 [12:27:14<12:16:53, 1.27s/step] Training: 50%|█████ | 35192/70000 [12:27:15<12:27:31, 1.29s/step] Training: 50%|█████ | 35193/70000 [12:27:16<12:34:42, 1.30s/step] Training: 50%|█████ | 35194/70000 [12:27:18<12:16:17, 1.27s/step] Training: 50%|█████ | 35195/70000 [12:27:19<12:25:30, 1.29s/step] Training: 50%|█████ | 35196/70000 [12:27:20<12:08:12, 1.26s/step] Training: 50%|█████ | 35197/70000 [12:27:22<12:22:35, 1.28s/step] Training: 50%|█████ | 35198/70000 [12:27:23<12:28:41, 1.29s/step] Training: 50%|█████ | 35199/70000 [12:27:24<12:13:01, 1.26s/step] Training: 50%|█████ | 35200/70000 [12:27:25<12:25:08, 1.28s/step]INFO 2026-03-13 08:37:18 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.84 loss:0.018 grdn:2.761 lr:1.3e-05 updt_s:1.257 data_s:0.019 Training: 50%|█████ | 35201/70000 [12:27:27<12:32:41, 1.30s/step] Training: 50%|█████ | 35202/70000 [12:27:28<12:14:07, 1.27s/step] Training: 50%|█████ | 35203/70000 [12:27:29<12:08:41, 1.26s/step] Training: 50%|█████ | 35204/70000 [12:27:30<11:57:26, 1.24s/step] Training: 50%|█████ | 35205/70000 [12:27:32<12:35:11, 1.30s/step] Training: 50%|█████ | 35206/70000 [12:27:33<12:39:18, 1.31s/step] Training: 50%|█████ | 35207/70000 [12:27:34<12:42:09, 1.31s/step] Training: 50%|█████ | 35208/70000 [12:27:36<12:45:26, 1.32s/step] Training: 50%|█████ | 35209/70000 [12:27:37<12:28:56, 1.29s/step] Training: 50%|█████ | 35210/70000 [12:27:38<12:11:33, 1.26s/step] Training: 50%|█████ | 35211/70000 [12:27:39<12:07:21, 1.25s/step] Training: 50%|█████ | 35212/70000 [12:27:41<11:56:02, 1.23s/step] Training: 50%|█████ | 35213/70000 [12:27:42<12:16:19, 1.27s/step] Training: 50%|█████ | 35214/70000 [12:27:43<12:06:55, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=53163 Training: 50%|█████ | 35215/70000 [12:27:45<12:19:31, 1.28s/step] Training: 50%|█████ | 35216/70000 [12:27:46<12:27:39, 1.29s/step] Training: 50%|█████ | 35217/70000 [12:27:47<12:34:40, 1.30s/step] Training: 50%|█████ | 35218/70000 [12:27:48<12:14:53, 1.27s/step] Training: 50%|█████ | 35219/70000 [12:27:50<12:01:12, 1.24s/step] Training: 50%|█████ | 35220/70000 [12:27:51<12:11:59, 1.26s/step] Training: 50%|█████ | 35221/70000 [12:27:52<12:25:04, 1.29s/step] Training: 50%|█████ | 35222/70000 [12:27:53<12:11:09, 1.26s/step] Training: 50%|█████ | 35223/70000 [12:27:55<12:07:26, 1.26s/step] Training: 50%|█████ | 35224/70000 [12:27:56<12:20:46, 1.28s/step] Training: 50%|█████ | 35225/70000 [12:27:57<12:30:54, 1.30s/step] Training: 50%|█████ | 35226/70000 [12:27:58<12:13:07, 1.26s/step] Training: 50%|█████ | 35227/70000 [12:28:00<12:23:50, 1.28s/step] Training: 50%|█████ | 35228/70000 [12:28:01<12:07:58, 1.26s/step] Training: 50%|█████ | 35229/70000 [12:28:02<12:02:01, 1.25s/step] Training: 50%|█████ | 35230/70000 [12:28:04<12:28:57, 1.29s/step] Training: 50%|█████ | 35231/70000 [12:28:05<12:14:54, 1.27s/step] Training: 50%|█████ | 35232/70000 [12:28:06<12:29:08, 1.29s/step] Training: 50%|█████ | 35233/70000 [12:28:08<12:35:15, 1.30s/step] Training: 50%|█████ | 35234/70000 [12:28:09<12:15:10, 1.27s/step] Training: 50%|█████ | 35235/70000 [12:28:10<12:05:04, 1.25s/step] Training: 50%|█████ | 35236/70000 [12:28:11<11:54:17, 1.23s/step] Training: 50%|█████ | 35237/70000 [12:28:12<12:10:41, 1.26s/step] Training: 50%|█████ | 35238/70000 [12:28:14<12:41:43, 1.31s/step] Training: 50%|█████ | 35239/70000 [12:28:15<12:43:38, 1.32s/step] Training: 50%|█████ | 35240/70000 [12:28:17<12:45:49, 1.32s/step] Training: 50%|█████ | 35241/70000 [12:28:18<12:25:41, 1.29s/step] Training: 50%|█████ | 35242/70000 [12:28:19<12:08:22, 1.26s/step] Training: 50%|█████ | 35243/70000 [12:28:20<12:02:51, 1.25s/step] Training: 50%|█████ | 35244/70000 [12:28:21<11:52:54, 1.23s/step] Training: 50%|█████ | 35245/70000 [12:28:23<12:09:29, 1.26s/step] Training: 50%|█████ | 35246/70000 [12:28:24<12:31:50, 1.30s/step] Training: 50%|█████ | 35247/70000 [12:28:25<12:34:46, 1.30s/step] Training: 50%|█████ | 35248/70000 [12:28:27<12:40:10, 1.31s/step] Training: 50%|█████ | 35249/70000 [12:28:28<12:44:39, 1.32s/step] Training: 50%|█████ | 35250/70000 [12:28:29<12:22:17, 1.28s/step] Training: 50%|█████ | 35251/70000 [12:28:30<12:05:56, 1.25s/step] Training: 50%|█████ | 35252/70000 [12:28:32<12:16:05, 1.27s/step] Training: 50%|█████ | 35253/70000 [12:28:33<12:10:46, 1.26s/step] Training: 50%|█████ | 35254/70000 [12:28:34<12:01:47, 1.25s/step] Training: 50%|█████ | 35255/70000 [12:28:36<12:18:36, 1.28s/step] Training: 50%|█████ | 35256/70000 [12:28:37<12:26:46, 1.29s/step] Training: 50%|█████ | 35257/70000 [12:28:38<12:35:25, 1.30s/step] Training: 50%|█████ | 35258/70000 [12:28:39<12:16:24, 1.27s/step] Training: 50%|█████ | 35259/70000 [12:28:41<12:02:02, 1.25s/step] Training: 50%|█████ | 35260/70000 [12:28:42<11:51:22, 1.23s/step] Training: 50%|█████ | 35261/70000 [12:28:43<11:46:50, 1.22s/step] Training: 50%|█████ | 35262/70000 [12:28:44<12:05:09, 1.25s/step] Training: 50%|█████ | 35263/70000 [12:28:46<12:20:49, 1.28s/step] Training: 50%|█████ | 35264/70000 [12:28:47<12:27:19, 1.29s/step] Training: 50%|█████ | 35265/70000 [12:28:48<12:32:53, 1.30s/step] Training: 50%|█████ | 35266/70000 [12:28:49<12:13:37, 1.27s/step] Training: 50%|█████ | 35267/70000 [12:28:51<12:19:48, 1.28s/step] Training: 50%|█████ | 35268/70000 [12:28:52<12:04:43, 1.25s/step] Training: 50%|█████ | 35269/70000 [12:28:53<12:17:20, 1.27s/step] Training: 50%|█████ | 35270/70000 [12:28:55<12:25:56, 1.29s/step] Training: 50%|█████ | 35271/70000 [12:28:56<12:09:28, 1.26s/step] Training: 50%|█████ | 35272/70000 [12:28:57<12:42:02, 1.32s/step] Training: 50%|█████ | 35273/70000 [12:28:58<12:27:30, 1.29s/step] Training: 50%|█████ | 35274/70000 [12:29:00<12:10:44, 1.26s/step] Training: 50%|█████ | 35275/70000 [12:29:01<12:21:57, 1.28s/step] Training: 50%|█████ | 35276/70000 [12:29:02<12:05:56, 1.25s/step] Training: 50%|█████ | 35277/70000 [12:29:04<12:20:15, 1.28s/step] Training: 50%|█████ | 35278/70000 [12:29:05<12:11:00, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=47155 Training: 50%|█████ | 35279/70000 [12:29:06<12:03:53, 1.25s/step] Training: 50%|█████ | 35280/70000 [12:29:07<12:26:31, 1.29s/step] Training: 50%|█████ | 35281/70000 [12:29:09<12:33:20, 1.30s/step] Training: 50%|█████ | 35282/70000 [12:29:10<12:13:56, 1.27s/step] Training: 50%|█████ | 35283/70000 [12:29:11<12:03:30, 1.25s/step] Training: 50%|█████ | 35284/70000 [12:29:12<11:53:27, 1.23s/step] Training: 50%|█████ | 35285/70000 [12:29:14<11:54:22, 1.23s/step] Training: 50%|█████ | 35286/70000 [12:29:15<11:50:02, 1.23s/step] Training: 50%|█████ | 35287/70000 [12:29:16<11:57:06, 1.24s/step] Training: 50%|█████ | 35288/70000 [12:29:17<12:10:48, 1.26s/step] Training: 50%|█████ | 35289/70000 [12:29:19<12:24:58, 1.29s/step] Training: 50%|█████ | 35290/70000 [12:29:20<12:08:16, 1.26s/step] Training: 50%|█████ | 35291/70000 [12:29:21<12:19:46, 1.28s/step] Training: 50%|█████ | 35292/70000 [12:29:22<12:04:32, 1.25s/step] Training: 50%|█████ | 35293/70000 [12:29:24<11:58:00, 1.24s/step] Training: 50%|█████ | 35294/70000 [12:29:25<12:12:15, 1.27s/step] Training: 50%|█████ | 35295/70000 [12:29:26<11:58:45, 1.24s/step] Training: 50%|█████ | 35296/70000 [12:29:28<12:34:47, 1.30s/step] Training: 50%|█████ | 35297/70000 [12:29:29<12:39:54, 1.31s/step] Training: 50%|█████ | 35298/70000 [12:29:30<12:18:45, 1.28s/step] Training: 50%|█████ | 35299/70000 [12:29:31<12:26:57, 1.29s/step] Training: 50%|█████ | 35300/70000 [12:29:33<12:09:35, 1.26s/step]INFO 2026-03-13 08:39:25 ot_train.py:435 step:35K smpl:2M ep:8K epch:29.92 loss:0.017 grdn:2.372 lr:1.3e-05 updt_s:1.251 data_s:0.019 Training: 50%|█████ | 35301/70000 [12:29:34<12:20:49, 1.28s/step] Training: 50%|█████ | 35302/70000 [12:29:35<12:28:07, 1.29s/step] Training: 50%|█████ | 35303/70000 [12:29:36<12:09:41, 1.26s/step] Training: 50%|█████ | 35304/70000 [12:29:38<12:29:47, 1.30s/step] Training: 50%|█████ | 35305/70000 [12:29:39<12:35:33, 1.31s/step] Training: 50%|█████ | 35306/70000 [12:29:40<12:15:03, 1.27s/step] Training: 50%|█████ | 35307/70000 [12:29:42<12:24:35, 1.29s/step] Training: 50%|█████ | 35308/70000 [12:29:43<12:08:24, 1.26s/step] Training: 50%|█████ | 35309/70000 [12:29:44<12:18:02, 1.28s/step] Training: 50%|█████ | 35310/70000 [12:29:45<12:10:03, 1.26s/step] Training: 50%|█████ | 35311/70000 [12:29:47<11:57:29, 1.24s/step] Training: 50%|█████ | 35312/70000 [12:29:48<12:13:46, 1.27s/step] Training: 50%|█████ | 35313/70000 [12:29:49<12:40:55, 1.32s/step] Training: 50%|█████ | 35314/70000 [12:29:51<12:19:28, 1.28s/step] Training: 50%|█████ | 35315/70000 [12:29:52<12:08:05, 1.26s/step] Training: 50%|█████ | 35316/70000 [12:29:53<11:57:17, 1.24s/step] Training: 50%|█████ | 35317/70000 [12:29:54<11:55:52, 1.24s/step] Training: 50%|█████ | 35318/70000 [12:29:55<11:50:23, 1.23s/step] Training: 50%|█████ | 35319/70000 [12:29:57<11:43:56, 1.22s/step] Training: 50%|█████ | 35320/70000 [12:29:58<12:03:57, 1.25s/step] Training: 50%|█████ | 35321/70000 [12:29:59<12:35:40, 1.31s/step] Training: 50%|█████ | 35322/70000 [12:30:01<12:15:54, 1.27s/step] Training: 50%|█████ | 35323/70000 [12:30:02<12:25:32, 1.29s/step] Training: 50%|█████ | 35324/70000 [12:30:03<12:07:39, 1.26s/step] Training: 50%|█████ | 35325/70000 [12:30:04<11:58:36, 1.24s/step] Training: 50%|█████ | 35326/70000 [12:30:06<12:12:46, 1.27s/step] Training: 50%|█████ | 35327/70000 [12:30:07<12:00:04, 1.25s/step] Training: 50%|█████ | 35328/70000 [12:30:08<12:15:23, 1.27s/step] Training: 50%|█████ | 35329/70000 [12:30:10<12:42:22, 1.32s/step] Training: 50%|█████ | 35330/70000 [12:30:11<12:20:49, 1.28s/step] Training: 50%|█████ | 35331/70000 [12:30:12<12:31:52, 1.30s/step] Training: 50%|█████ | 35332/70000 [12:30:13<12:12:12, 1.27s/step] Training: 50%|█████ | 35333/70000 [12:30:15<12:23:59, 1.29s/step] Training: 50%|█████ | 35334/70000 [12:30:16<12:30:05, 1.30s/step] Training: 50%|█████ | 35335/70000 [12:30:17<12:11:21, 1.27s/step] Training: 50%|█████ | 35336/70000 [12:30:18<12:27:32, 1.29s/step] Training: 50%|█████ | 35337/70000 [12:30:20<12:37:31, 1.31s/step] Training: 50%|█████ | 35338/70000 [12:30:21<12:15:26, 1.27s/step] Training: 50%|█████ | 35339/70000 [12:30:22<12:24:28, 1.29s/step] Training: 50%|█████ | 35340/70000 [12:30:24<12:06:58, 1.26s/step] Training: 50%|█████ | 35341/70000 [12:30:25<12:18:42, 1.28s/step] Training: 50%|█████ | 35342/70000 [12:30:26<12:11:33, 1.27s/step] Training: 50%|█████ | 35343/70000 [12:30:27<11:58:41, 1.24s/step] Training: 50%|█████ | 35344/70000 [12:30:29<12:14:33, 1.27s/step] Training: 50%|█████ | 35345/70000 [12:30:30<12:29:59, 1.30s/step] Training: 50%|█████ | 35346/70000 [12:30:31<12:09:19, 1.26s/step] Training: 50%|█████ | 35347/70000 [12:30:32<12:00:58, 1.25s/step] Training: 50%|█████ | 35348/70000 [12:30:34<11:51:08, 1.23s/step] Training: 50%|█████ | 35349/70000 [12:30:35<11:52:19, 1.23s/step] Training: 50%|█████ | 35350/70000 [12:30:36<11:46:50, 1.22s/step] Training: 51%|█████ | 35351/70000 [12:30:37<11:40:37, 1.21s/step] Training: 51%|█████ | 35352/70000 [12:30:39<12:00:01, 1.25s/step] Training: 51%|█████ | 35353/70000 [12:30:40<12:14:32, 1.27s/step] Training: 51%|█████ | 35354/70000 [12:30:41<12:29:38, 1.30s/step] Training: 51%|█████ | 35355/70000 [12:30:43<12:32:51, 1.30s/step] Training: 51%|█████ | 35356/70000 [12:30:44<12:13:21, 1.27s/step] Training: 51%|█████ | 35357/70000 [12:30:45<12:03:27, 1.25s/step] Training: 51%|█████ | 35358/70000 [12:30:46<12:16:26, 1.28s/step] Training: 51%|█████ | 35359/70000 [12:30:47<12:01:24, 1.25s/step] Training: 51%|█████ | 35360/70000 [12:30:49<12:16:15, 1.28s/step] Training: 51%|█████ | 35361/70000 [12:30:50<12:25:01, 1.29s/step] Training: 51%|█████ | 35362/70000 [12:30:51<12:36:05, 1.31s/step] Training: 51%|█████ | 35363/70000 [12:30:53<12:39:05, 1.31s/step] Training: 51%|█████ | 35364/70000 [12:30:54<12:17:37, 1.28s/step] Training: 51%|█████ | 35365/70000 [12:30:55<12:25:26, 1.29s/step] Training: 51%|█████ | 35366/70000 [12:30:57<12:31:14, 1.30s/step] Training: 51%|█████ | 35367/70000 [12:30:58<12:11:28, 1.27s/step] Training: 51%|█████ | 35368/70000 [12:30:59<12:28:00, 1.30s/step] Training: 51%|█████ | 35369/70000 [12:31:00<12:11:21, 1.27s/step] Training: 51%|█████ | 35370/70000 [12:31:02<12:01:52, 1.25s/step] Training: 51%|█████ | 35371/70000 [12:31:03<12:14:32, 1.27s/step] Training: 51%|█████ | 35372/70000 [12:31:04<12:00:15, 1.25s/step] Training: 51%|█████ | 35373/70000 [12:31:05<12:13:14, 1.27s/step] Training: 51%|█████ | 35374/70000 [12:31:07<12:05:49, 1.26s/step] Training: 51%|█████ | 35375/70000 [12:31:08<11:53:39, 1.24s/step] Training: 51%|█████ | 35376/70000 [12:31:09<12:10:48, 1.27s/step] Training: 51%|█████ | 35377/70000 [12:31:11<12:21:55, 1.29s/step] Training: 51%|█████ | 35378/70000 [12:31:12<12:34:31, 1.31s/step] Training: 51%|█████ | 35379/70000 [12:31:13<12:15:27, 1.27s/step] Training: 51%|█████ | 35380/70000 [12:31:14<12:01:01, 1.25s/step] Training: 51%|█████ | 35381/70000 [12:31:15<11:56:47, 1.24s/step] Training: 51%|█████ | 35382/70000 [12:31:17<11:54:44, 1.24s/step] Training: 51%|█████ | 35383/70000 [12:31:18<11:46:29, 1.22s/step] Training: 51%|█████ | 35384/70000 [12:31:19<12:04:43, 1.26s/step] Training: 51%|█████ | 35385/70000 [12:31:21<12:17:28, 1.28s/step] Training: 51%|█████ | 35386/70000 [12:31:22<12:12:59, 1.27s/step] Training: 51%|█████ | 35387/70000 [12:31:23<12:22:09, 1.29s/step] Training: 51%|█████ | 35388/70000 [12:31:24<12:05:44, 1.26s/step] Training: 51%|█████ | 35389/70000 [12:31:26<11:56:33, 1.24s/step] Training: 51%|█████ | 35390/70000 [12:31:27<11:48:35, 1.23s/step] Training: 51%|█████ | 35391/70000 [12:31:28<12:02:57, 1.25s/step] Training: 51%|█████ | 35392/70000 [12:31:29<12:20:28, 1.28s/step] Training: 51%|█████ | 35393/70000 [12:31:31<12:28:31, 1.30s/step] Training: 51%|█████ | 35394/70000 [12:31:32<12:09:50, 1.27s/step] Training: 51%|█████ | 35395/70000 [12:31:33<12:44:37, 1.33s/step] Training: 51%|█████ | 35396/70000 [12:31:35<12:20:28, 1.28s/step] Training: 51%|█████ | 35397/70000 [12:31:36<12:29:10, 1.30s/step] Training: 51%|█████ | 35398/70000 [12:31:37<12:35:55, 1.31s/step] Training: 51%|█████ | 35399/70000 [12:31:38<12:14:37, 1.27s/step] Training: 51%|█████ | 35400/70000 [12:31:41<15:31:04, 1.61s/step]INFO 2026-03-13 08:41:33 ot_train.py:435 step:35K smpl:2M ep:8K epch:30.01 loss:0.018 grdn:2.265 lr:1.3e-05 updt_s:1.251 data_s:0.030 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 51%|█████ | 35401/70000 [12:31:45<23:33:59, 2.45s/step] Training: 51%|█████ | 35402/70000 [12:31:46<19:55:52, 2.07s/step] Training: 51%|█████ | 35403/70000 [12:31:48<17:54:25, 1.86s/step] Training: 51%|█████ | 35404/70000 [12:31:49<15:55:54, 1.66s/step] Training: 51%|█████ | 35405/70000 [12:31:50<15:09:37, 1.58s/step] Training: 51%|█████ | 35406/70000 [12:31:52<14:12:58, 1.48s/step] Training: 51%|█████ | 35407/70000 [12:31:53<13:23:03, 1.39s/step] Training: 51%|█████ | 35408/70000 [12:31:54<13:20:41, 1.39s/step] Training: 51%|█████ | 35409/70000 [12:31:56<13:11:32, 1.37s/step] Training: 51%|█████ | 35410/70000 [12:31:57<12:40:34, 1.32s/step] Training: 51%|█████ | 35411/70000 [12:31:58<12:47:00, 1.33s/step] Training: 51%|█████ | 35412/70000 [12:31:59<12:21:35, 1.29s/step] Training: 51%|█████ | 35413/70000 [12:32:01<12:31:59, 1.30s/step] Training: 51%|█████ | 35414/70000 [12:32:02<12:19:02, 1.28s/step] Training: 51%|█████ | 35415/70000 [12:32:03<12:02:53, 1.25s/step] Training: 51%|█████ | 35416/70000 [12:32:04<12:18:50, 1.28s/step] Training: 51%|█████ | 35417/70000 [12:32:06<12:27:36, 1.30s/step] Training: 51%|█████ | 35418/70000 [12:32:07<12:08:51, 1.26s/step] Training: 51%|█████ | 35419/70000 [12:32:08<12:20:43, 1.29s/step] Training: 51%|█████ | 35420/70000 [12:32:10<12:30:30, 1.30s/step] Training: 51%|█████ | 35421/70000 [12:32:11<12:16:06, 1.28s/step] Training: 51%|█████ | 35422/70000 [12:32:12<12:01:16, 1.25s/step] Training: 51%|█████ | 35423/70000 [12:32:13<12:11:08, 1.27s/step] Training: 51%|█████ | 35424/70000 [12:32:15<12:22:45, 1.29s/step] Training: 51%|█████ | 35425/70000 [12:32:16<12:30:07, 1.30s/step] Training: 51%|█████ | 35426/70000 [12:32:17<12:10:52, 1.27s/step] Training: 51%|█████ | 35427/70000 [12:32:18<11:59:21, 1.25s/step] Training: 51%|█████ | 35428/70000 [12:32:20<12:13:01, 1.27s/step] Training: 51%|█████ | 35429/70000 [12:32:21<12:23:57, 1.29s/step] Training: 51%|█████ | 35430/70000 [12:32:22<12:32:27, 1.31s/step] Training: 51%|█████ | 35431/70000 [12:32:24<12:12:13, 1.27s/step] Training: 51%|█████ | 35432/70000 [12:32:25<12:22:41, 1.29s/step] Training: 51%|█████ | 35433/70000 [12:32:26<12:08:39, 1.26s/step] Training: 51%|█████ | 35434/70000 [12:32:27<11:55:39, 1.24s/step] Training: 51%|█████ | 35435/70000 [12:32:29<11:52:56, 1.24s/step] Training: 51%|█████ | 35436/70000 [12:32:30<11:47:40, 1.23s/step] Training: 51%|█████ | 35437/70000 [12:32:31<12:03:37, 1.26s/step] Training: 51%|█████ | 35438/70000 [12:32:32<11:58:39, 1.25s/step] Training: 51%|█████ | 35439/70000 [12:32:33<11:48:05, 1.23s/step] Training: 51%|█████ | 35440/70000 [12:32:35<12:13:34, 1.27s/step] Training: 51%|█████ | 35441/70000 [12:32:36<12:25:06, 1.29s/step] Training: 51%|█████ | 35442/70000 [12:32:37<12:07:46, 1.26s/step] Training: 51%|█████ | 35443/70000 [12:32:39<11:55:07, 1.24s/step] Training: 51%|█████ | 35444/70000 [12:32:40<12:09:16, 1.27s/step] Training: 51%|█████ | 35445/70000 [12:32:41<12:19:29, 1.28s/step] Training: 51%|█████ | 35446/70000 [12:32:42<12:10:51, 1.27s/step] Training: 51%|█████ | 35447/70000 [12:32:44<11:56:54, 1.24s/step] Training: 51%|█████ | 35448/70000 [12:32:45<12:13:55, 1.27s/step] Training: 51%|█████ | 35449/70000 [12:32:46<12:24:04, 1.29s/step] Training: 51%|█████ | 35450/70000 [12:32:48<12:07:22, 1.26s/step] Training: 51%|█████ | 35451/70000 [12:32:49<11:54:56, 1.24s/step] Training: 51%|█████ | 35452/70000 [12:32:50<12:14:29, 1.28s/step] Training: 51%|█████ | 35453/70000 [12:32:51<12:00:21, 1.25s/step] Training: 51%|█████ | 35454/70000 [12:32:52<11:49:44, 1.23s/step] Training: 51%|█████ | 35455/70000 [12:32:54<12:04:10, 1.26s/step] Training: 51%|█████ | 35456/70000 [12:32:55<12:18:26, 1.28s/step] Training: 51%|█████ | 35457/70000 [12:32:56<12:27:04, 1.30s/step] Training: 51%|█████ | 35458/70000 [12:32:58<12:09:38, 1.27s/step] Training: 51%|█████ | 35459/70000 [12:32:59<12:05:01, 1.26s/step] Training: 51%|█████ | 35460/70000 [12:33:00<12:01:15, 1.25s/step] Training: 51%|█████ | 35461/70000 [12:33:01<12:13:15, 1.27s/step] Training: 51%|█████ | 35462/70000 [12:33:03<11:59:51, 1.25s/step] Training: 51%|█████ | 35463/70000 [12:33:04<11:49:08, 1.23s/step] Training: 51%|█████ | 35464/70000 [12:33:05<12:05:59, 1.26s/step] Training: 51%|█████ | 35465/70000 [12:33:06<11:59:21, 1.25s/step] Training: 51%|█████ | 35466/70000 [12:33:08<11:49:24, 1.23s/step] Training: 51%|█████ | 35467/70000 [12:33:09<11:48:20, 1.23s/step] Training: 51%|█████ | 35468/70000 [12:33:10<12:10:15, 1.27s/step] Training: 51%|█████ | 35469/70000 [12:33:11<12:20:50, 1.29s/step] Training: 51%|█████ | 35470/70000 [12:33:13<12:09:04, 1.27s/step] Training: 51%|█████ | 35471/70000 [12:33:14<11:55:33, 1.24s/step] Training: 51%|█████ | 35472/70000 [12:33:15<12:14:41, 1.28s/step] Training: 51%|█████ | 35473/70000 [12:33:17<12:23:28, 1.29s/step] Training: 51%|█████ | 35474/70000 [12:33:18<12:05:45, 1.26s/step] Training: 51%|█████ | 35475/70000 [12:33:19<12:21:32, 1.29s/step] Training: 51%|█████ | 35476/70000 [12:33:20<12:04:24, 1.26s/step] Training: 51%|█████ | 35477/70000 [12:33:22<12:40:18, 1.32s/step] Training: 51%|█████ | 35478/70000 [12:33:23<12:21:39, 1.29s/step] Training: 51%|█████ | 35479/70000 [12:33:24<12:04:41, 1.26s/step] Training: 51%|█████ | 35480/70000 [12:33:25<12:16:24, 1.28s/step] Training: 51%|█████ | 35481/70000 [12:33:27<12:25:57, 1.30s/step] Training: 51%|█████ | 35482/70000 [12:33:28<12:07:11, 1.26s/step] Training: 51%|█████ | 35483/70000 [12:33:29<12:21:38, 1.29s/step] Training: 51%|█████ | 35484/70000 [12:33:31<12:03:58, 1.26s/step] Training: 51%|█████ | 35485/70000 [12:33:32<12:17:56, 1.28s/step] Training: 51%|█████ | 35486/70000 [12:33:33<12:23:26, 1.29s/step] Training: 51%|█████ | 35487/70000 [12:33:34<12:05:49, 1.26s/step] Training: 51%|█████ | 35488/70000 [12:33:36<12:18:50, 1.28s/step] Training: 51%|█████ | 35489/70000 [12:33:37<12:26:25, 1.30s/step] Training: 51%|█████ | 35490/70000 [12:33:38<12:07:21, 1.26s/step] Training: 51%|█████ | 35491/70000 [12:33:39<12:03:59, 1.26s/step] Training: 51%|█████ | 35492/70000 [12:33:41<11:51:27, 1.24s/step] Training: 51%|█████ | 35493/70000 [12:33:42<12:06:42, 1.26s/step] Training: 51%|█████ | 35494/70000 [12:33:43<12:17:22, 1.28s/step] Training: 51%|█████ | 35495/70000 [12:33:45<12:01:05, 1.25s/step] Training: 51%|█████ | 35496/70000 [12:33:46<12:17:30, 1.28s/step] Training: 51%|█████ | 35497/70000 [12:33:47<12:05:51, 1.26s/step] Training: 51%|█████ | 35498/70000 [12:33:48<11:53:25, 1.24s/step] Training: 51%|█████ | 35499/70000 [12:33:49<11:48:44, 1.23s/step] Training: 51%|█████ | 35500/70000 [12:33:51<11:41:38, 1.22s/step]INFO 2026-03-13 08:43:43 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.09 loss:0.015 grdn:2.438 lr:1.3e-05 updt_s:1.249 data_s:0.047 Training: 51%|█████ | 35501/70000 [12:33:52<12:07:05, 1.26s/step] Training: 51%|█████ | 35502/70000 [12:33:53<12:02:47, 1.26s/step] Training: 51%|█████ | 35503/70000 [12:33:54<11:51:37, 1.24s/step] Training: 51%|█████ | 35504/70000 [12:33:56<11:54:01, 1.24s/step] Training: 51%|█████ | 35505/70000 [12:33:57<12:09:29, 1.27s/step] Training: 51%|█████ | 35506/70000 [12:33:58<11:55:36, 1.24s/step] Training: 51%|█████ | 35507/70000 [12:34:00<12:09:26, 1.27s/step] Training: 51%|█████ | 35508/70000 [12:34:01<11:55:53, 1.25s/step] Training: 51%|█████ | 35509/70000 [12:34:02<12:09:13, 1.27s/step] Training: 51%|█████ | 35510/70000 [12:34:03<11:58:56, 1.25s/step] Training: 51%|█████ | 35511/70000 [12:34:04<11:48:20, 1.23s/step] Training: 51%|█████ | 35512/70000 [12:34:06<12:11:12, 1.27s/step] Training: 51%|█████ | 35513/70000 [12:34:07<12:24:02, 1.29s/step] Training: 51%|█████ | 35514/70000 [12:34:08<12:05:34, 1.26s/step] Training: 51%|█████ | 35515/70000 [12:34:10<12:17:24, 1.28s/step] Training: 51%|█████ | 35516/70000 [12:34:11<12:01:27, 1.26s/step] Training: 51%|█████ | 35517/70000 [12:34:12<11:56:50, 1.25s/step] Training: 51%|█████ | 35518/70000 [12:34:14<12:32:44, 1.31s/step] Training: 51%|█████ | 35519/70000 [12:34:15<12:11:38, 1.27s/step] Training: 51%|█████ | 35520/70000 [12:34:16<12:23:41, 1.29s/step] Training: 51%|█████ | 35521/70000 [12:34:17<12:30:52, 1.31s/step] Training: 51%|█████ | 35522/70000 [12:34:19<12:11:01, 1.27s/step] Training: 51%|█████ | 35523/70000 [12:34:20<12:02:40, 1.26s/step] Training: 51%|█████ | 35524/70000 [12:34:21<11:50:10, 1.24s/step] Training: 51%|█████ | 35525/70000 [12:34:22<12:07:24, 1.27s/step] Training: 51%|█████ | 35526/70000 [12:34:24<12:31:29, 1.31s/step] Training: 51%|█████ | 35527/70000 [12:34:25<12:11:17, 1.27s/step] Training: 51%|█████ | 35528/70000 [12:34:26<12:30:39, 1.31s/step] Training: 51%|█████ | 35529/70000 [12:34:28<12:14:59, 1.28s/step] Training: 51%|█████ | 35530/70000 [12:34:29<11:59:57, 1.25s/step] Training: 51%|█████ | 35531/70000 [12:34:30<11:52:29, 1.24s/step] Training: 51%|█████ | 35532/70000 [12:34:31<11:44:49, 1.23s/step] Training: 51%|█████ | 35533/70000 [12:34:33<12:00:24, 1.25s/step] Training: 51%|█████ | 35534/70000 [12:34:34<11:54:31, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=6714 Training: 51%|█████ | 35535/70000 [12:34:35<12:10:45, 1.27s/step] Training: 51%|█████ | 35536/70000 [12:34:36<12:28:57, 1.30s/step] Training: 51%|█████ | 35537/70000 [12:34:38<12:34:23, 1.31s/step] Training: 51%|█████ | 35538/70000 [12:34:39<12:12:56, 1.28s/step] Training: 51%|█████ | 35539/70000 [12:34:40<12:21:56, 1.29s/step] Training: 51%|█████ | 35540/70000 [12:34:41<12:03:56, 1.26s/step] Training: 51%|█████ | 35541/70000 [12:34:43<12:17:54, 1.28s/step] Training: 51%|█████ | 35542/70000 [12:34:44<12:30:19, 1.31s/step] Training: 51%|█████ | 35543/70000 [12:34:45<12:08:33, 1.27s/step] Training: 51%|█████ | 35544/70000 [12:34:47<12:25:03, 1.30s/step] Training: 51%|█████ | 35545/70000 [12:34:48<12:30:21, 1.31s/step] Training: 51%|█████ | 35546/70000 [12:34:49<12:10:09, 1.27s/step] Training: 51%|█████ | 35547/70000 [12:34:51<12:22:24, 1.29s/step] Training: 51%|█████ | 35548/70000 [12:34:52<12:04:25, 1.26s/step] Training: 51%|█████ | 35549/70000 [12:34:53<11:58:15, 1.25s/step] Training: 51%|█████ | 35550/70000 [12:34:54<12:11:44, 1.27s/step] Training: 51%|█████ | 35551/70000 [12:34:56<12:23:56, 1.30s/step] Training: 51%|█████ | 35552/70000 [12:34:57<12:28:32, 1.30s/step] Training: 51%|█████ | 35553/70000 [12:34:58<12:33:47, 1.31s/step] Training: 51%|█████ | 35554/70000 [12:35:00<12:12:10, 1.28s/step] Training: 51%|█████ | 35555/70000 [12:35:01<12:03:55, 1.26s/step] Training: 51%|█████ | 35556/70000 [12:35:02<11:51:35, 1.24s/step] Training: 51%|█████ | 35557/70000 [12:35:03<12:08:18, 1.27s/step] Training: 51%|█████ | 35558/70000 [12:35:05<12:18:13, 1.29s/step] Training: 51%|█████ | 35559/70000 [12:35:06<12:30:22, 1.31s/step] Training: 51%|█████ | 35560/70000 [12:35:07<12:39:53, 1.32s/step] Training: 51%|█████ | 35561/70000 [12:35:09<12:19:50, 1.29s/step] Training: 51%|█████ | 35562/70000 [12:35:10<12:03:22, 1.26s/step] Training: 51%|█████ | 35563/70000 [12:35:11<11:54:30, 1.24s/step] Training: 51%|█████ | 35564/70000 [12:35:12<11:45:10, 1.23s/step] Training: 51%|█████ | 35565/70000 [12:35:13<12:01:38, 1.26s/step] Training: 51%|█████ | 35566/70000 [12:35:15<11:56:54, 1.25s/step] Training: 51%|█████ | 35567/70000 [12:35:16<11:46:32, 1.23s/step] Training: 51%|█████ | 35568/70000 [12:35:17<11:49:52, 1.24s/step] Training: 51%|█████ | 35569/70000 [12:35:18<12:06:05, 1.27s/step] Training: 51%|█████ | 35570/70000 [12:35:20<11:53:52, 1.24s/step] Training: 51%|█████ | 35571/70000 [12:35:21<12:10:11, 1.27s/step] Training: 51%|█████ | 35572/70000 [12:35:22<11:56:16, 1.25s/step] Training: 51%|█████ | 35573/70000 [12:35:23<12:09:17, 1.27s/step] Training: 51%|█████ | 35574/70000 [12:35:25<12:02:17, 1.26s/step] Training: 51%|█████ | 35575/70000 [12:35:26<11:55:52, 1.25s/step] Training: 51%|█████ | 35576/70000 [12:35:27<12:17:40, 1.29s/step] Training: 51%|█████ | 35577/70000 [12:35:29<12:25:15, 1.30s/step] Training: 51%|█████ | 35578/70000 [12:35:30<12:07:26, 1.27s/step] Training: 51%|█████ | 35579/70000 [12:35:31<12:18:26, 1.29s/step] Training: 51%|█████ | 35580/70000 [12:35:32<12:01:35, 1.26s/step] Training: 51%|█████ | 35581/70000 [12:35:34<11:52:48, 1.24s/step] Training: 51%|█████ | 35582/70000 [12:35:35<12:08:58, 1.27s/step] Training: 51%|█████ | 35583/70000 [12:35:36<12:07:09, 1.27s/step] Training: 51%|█████ | 35584/70000 [12:35:37<12:17:12, 1.29s/step] Training: 51%|█████ | 35585/70000 [12:35:39<12:26:43, 1.30s/step] Training: 51%|█████ | 35586/70000 [12:35:40<12:07:43, 1.27s/step] Training: 51%|█████ | 35587/70000 [12:35:41<12:01:50, 1.26s/step] Training: 51%|█████ | 35588/70000 [12:35:42<11:48:55, 1.24s/step] Training: 51%|█████ | 35589/70000 [12:35:44<12:06:13, 1.27s/step] Training: 51%|█████ | 35590/70000 [12:35:45<12:17:20, 1.29s/step] Training: 51%|█████ | 35591/70000 [12:35:46<12:00:48, 1.26s/step] Training: 51%|█████ | 35592/70000 [12:35:48<12:31:05, 1.31s/step] Training: 51%|█████ | 35593/70000 [12:35:49<12:13:55, 1.28s/step] Training: 51%|█████ | 35594/70000 [12:35:50<11:58:29, 1.25s/step] Training: 51%|█████ | 35595/70000 [12:35:51<11:50:10, 1.24s/step] Training: 51%|█████ | 35596/70000 [12:35:53<11:42:21, 1.22s/step] Training: 51%|█████ | 35597/70000 [12:35:54<12:01:43, 1.26s/step] Training: 51%|█████ | 35598/70000 [12:35:55<11:58:10, 1.25s/step] Training: 51%|█████ | 35599/70000 [12:35:56<11:47:29, 1.23s/step] Training: 51%|█████ | 35600/70000 [12:35:58<12:15:27, 1.28s/step]INFO 2026-03-13 08:45:50 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.17 loss:0.016 grdn:2.204 lr:1.3e-05 updt_s:1.249 data_s:0.019 Training: 51%|█████ | 35601/70000 [12:35:59<12:24:34, 1.30s/step] Training: 51%|█████ | 35602/70000 [12:36:00<12:05:32, 1.27s/step] Training: 51%|█████ | 35603/70000 [12:36:01<11:52:30, 1.24s/step] Training: 51%|█████ | 35604/70000 [12:36:03<12:04:47, 1.26s/step] Training: 51%|█████ | 35605/70000 [12:36:04<12:16:21, 1.28s/step] Training: 51%|█████ | 35606/70000 [12:36:05<12:03:13, 1.26s/step] Training: 51%|█████ | 35607/70000 [12:36:06<11:50:43, 1.24s/step] Training: 51%|█████ | 35608/70000 [12:36:08<12:12:53, 1.28s/step] Training: 51%|█████ | 35609/70000 [12:36:09<12:41:56, 1.33s/step] Training: 51%|█████ | 35610/70000 [12:36:10<12:18:19, 1.29s/step] Training: 51%|█████ | 35611/70000 [12:36:12<12:25:37, 1.30s/step] Training: 51%|█████ | 35612/70000 [12:36:13<12:06:03, 1.27s/step] Training: 51%|█████ | 35613/70000 [12:36:14<11:56:30, 1.25s/step] Training: 51%|█████ | 35614/70000 [12:36:16<12:10:28, 1.27s/step] Training: 51%|█████ | 35615/70000 [12:36:17<11:55:20, 1.25s/step] Training: 51%|█████ | 35616/70000 [12:36:18<12:13:45, 1.28s/step] Training: 51%|█████ | 35617/70000 [12:36:19<12:04:00, 1.26s/step] Training: 51%|█████ | 35618/70000 [12:36:20<11:51:07, 1.24s/step] Training: 51%|█████ | 35619/70000 [12:36:22<11:45:54, 1.23s/step] Training: 51%|█████ | 35620/70000 [12:36:23<11:38:22, 1.22s/step] Training: 51%|█████ | 35621/70000 [12:36:24<11:57:53, 1.25s/step] Training: 51%|█████ | 35622/70000 [12:36:26<12:11:24, 1.28s/step] Training: 51%|█████ | 35623/70000 [12:36:27<11:56:13, 1.25s/step] Training: 51%|█████ | 35624/70000 [12:36:28<12:13:36, 1.28s/step] Training: 51%|█████ | 35625/70000 [12:36:29<12:24:31, 1.30s/step] Training: 51%|█████ | 35626/70000 [12:36:31<12:04:15, 1.26s/step] Training: 51%|█████ | 35627/70000 [12:36:32<11:51:39, 1.24s/step] Training: 51%|█████ | 35628/70000 [12:36:33<12:07:02, 1.27s/step] Training: 51%|█████ | 35629/70000 [12:36:34<12:17:17, 1.29s/step] Training: 51%|█████ | 35630/70000 [12:36:36<12:07:02, 1.27s/step] Training: 51%|█████ | 35631/70000 [12:36:37<11:53:33, 1.25s/step] Training: 51%|█████ | 35632/70000 [12:36:38<12:13:15, 1.28s/step] Training: 51%|█████ | 35633/70000 [12:36:40<12:42:20, 1.33s/step] Training: 51%|█████ | 35634/70000 [12:36:41<12:18:08, 1.29s/step] Training: 51%|█████ | 35635/70000 [12:36:42<12:03:54, 1.26s/step] Training: 51%|█████ | 35636/70000 [12:36:43<11:50:54, 1.24s/step] Training: 51%|█████ | 35637/70000 [12:36:45<12:05:43, 1.27s/step] Training: 51%|█████ | 35638/70000 [12:36:46<11:56:29, 1.25s/step] Training: 51%|█████ | 35639/70000 [12:36:47<11:45:38, 1.23s/step] Training: 51%|█████ | 35640/70000 [12:36:48<12:07:59, 1.27s/step] Training: 51%|█████ | 35641/70000 [12:36:50<12:17:02, 1.29s/step] Training: 51%|█████ | 35642/70000 [12:36:51<12:00:45, 1.26s/step] Training: 51%|█████ | 35643/70000 [12:36:52<12:13:12, 1.28s/step] Training: 51%|█████ | 35644/70000 [12:36:53<11:58:48, 1.26s/step] Training: 51%|█████ | 35645/70000 [12:36:55<11:50:37, 1.24s/step] Training: 51%|█████ | 35646/70000 [12:36:56<12:08:08, 1.27s/step] Training: 51%|█████ | 35647/70000 [12:36:57<11:53:54, 1.25s/step] Training: 51%|█████ | 35648/70000 [12:36:58<12:08:36, 1.27s/step] Training: 51%|█████ | 35649/70000 [12:37:00<12:03:01, 1.26s/step] Training: 51%|█████ | 35650/70000 [12:37:01<11:50:13, 1.24s/step] Training: 51%|█████ | 35651/70000 [12:37:02<12:05:45, 1.27s/step] Training: 51%|█████ | 35652/70000 [12:37:03<11:52:25, 1.24s/step] Training: 51%|█████ | 35653/70000 [12:37:05<12:06:13, 1.27s/step] Training: 51%|█████ | 35654/70000 [12:37:06<12:19:00, 1.29s/step] Training: 51%|█████ | 35655/70000 [12:37:07<12:01:27, 1.26s/step] Training: 51%|█████ | 35656/70000 [12:37:09<12:21:31, 1.30s/step] Training: 51%|█████ | 35657/70000 [12:37:10<12:11:11, 1.28s/step] Training: 51%|█████ | 35658/70000 [12:37:11<11:54:14, 1.25s/step] Training: 51%|█████ | 35659/70000 [12:37:12<12:07:03, 1.27s/step] Training: 51%|█████ | 35660/70000 [12:37:14<11:53:46, 1.25s/step] Training: 51%|█████ | 35661/70000 [12:37:15<12:09:02, 1.27s/step] Training: 51%|█████ | 35662/70000 [12:37:16<12:01:08, 1.26s/step] Training: 51%|█████ | 35663/70000 [12:37:17<11:49:29, 1.24s/step] Training: 51%|█████ | 35664/70000 [12:37:19<12:10:23, 1.28s/step] Training: 51%|█████ | 35665/70000 [12:37:20<12:19:40, 1.29s/step] Training: 51%|█████ | 35666/70000 [12:37:21<12:29:04, 1.31s/step] Training: 51%|█████ | 35667/70000 [12:37:23<12:10:34, 1.28s/step] Training: 51%|█████ | 35668/70000 [12:37:24<11:55:24, 1.25s/step] Training: 51%|█████ | 35669/70000 [12:37:25<12:09:27, 1.27s/step] Training: 51%|█████ | 35670/70000 [12:37:26<11:57:43, 1.25s/step] Training: 51%|█████ | 35671/70000 [12:37:28<11:47:04, 1.24s/step] Training: 51%|█████ | 35672/70000 [12:37:29<12:09:09, 1.27s/step] Training: 51%|█████ | 35673/70000 [12:37:30<12:19:20, 1.29s/step] Training: 51%|█████ | 35674/70000 [12:37:32<12:20:00, 1.29s/step] Training: 51%|█████ | 35675/70000 [12:37:33<12:24:52, 1.30s/step] Training: 51%|█████ | 35676/70000 [12:37:34<12:05:25, 1.27s/step] Training: 51%|█████ | 35677/70000 [12:37:35<11:55:45, 1.25s/step] Training: 51%|█████ | 35678/70000 [12:37:36<11:46:45, 1.24s/step] Training: 51%|█████ | 35679/70000 [12:37:38<12:00:38, 1.26s/step] Training: 51%|█████ | 35680/70000 [12:37:39<12:14:19, 1.28s/step] Training: 51%|█████ | 35681/70000 [12:37:40<12:04:39, 1.27s/step] Training: 51%|█████ | 35682/70000 [12:37:42<12:21:03, 1.30s/step] Training: 51%|█████ | 35683/70000 [12:37:43<12:24:57, 1.30s/step] Training: 51%|█████ | 35684/70000 [12:37:44<12:05:28, 1.27s/step] Training: 51%|█████ | 35685/70000 [12:37:46<12:16:35, 1.29s/step] Training: 51%|█████ | 35686/70000 [12:37:47<12:00:30, 1.26s/step] Training: 51%|█████ | 35687/70000 [12:37:48<11:57:17, 1.25s/step] Training: 51%|█████ | 35688/70000 [12:37:49<12:19:39, 1.29s/step] Training: 51%|█████ | 35689/70000 [12:37:51<12:05:32, 1.27s/step] Training: 51%|█████ | 35690/70000 [12:37:52<12:21:32, 1.30s/step] Training: 51%|█████ | 35691/70000 [12:37:53<12:24:08, 1.30s/step] Training: 51%|█████ | 35692/70000 [12:37:54<12:04:34, 1.27s/step] Training: 51%|█████ | 35693/70000 [12:37:56<12:15:42, 1.29s/step] Training: 51%|█████ | 35694/70000 [12:37:57<11:58:42, 1.26s/step] Training: 51%|█████ | 35695/70000 [12:37:58<11:52:02, 1.25s/step] Training: 51%|█████ | 35696/70000 [12:38:00<12:12:54, 1.28s/step] Training: 51%|█████ | 35697/70000 [12:38:01<12:22:32, 1.30s/step] Training: 51%|█████ | 35698/70000 [12:38:02<12:03:41, 1.27s/step] Training: 51%|█████ | 35699/70000 [12:38:03<12:16:32, 1.29s/step] Training: 51%|█████ | 35700/70000 [12:38:05<11:57:30, 1.26s/step]INFO 2026-03-13 08:47:57 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.26 loss:0.016 grdn:1.923 lr:1.3e-05 updt_s:1.247 data_s:0.019 Training: 51%|█████ | 35701/70000 [12:38:06<12:11:56, 1.28s/step] Training: 51%|█████ | 35702/70000 [12:38:07<11:55:57, 1.25s/step] Training: 51%|█████ | 35703/70000 [12:38:08<12:07:59, 1.27s/step] Training: 51%|█████ | 35704/70000 [12:38:10<12:22:44, 1.30s/step] Training: 51%|█████ | 35705/70000 [12:38:11<12:25:57, 1.31s/step] Training: 51%|█████ | 35706/70000 [12:38:12<12:06:22, 1.27s/step] Training: 51%|█████ | 35707/70000 [12:38:14<12:35:33, 1.32s/step] Training: 51%|█████ | 35708/70000 [12:38:15<12:12:10, 1.28s/step] Training: 51%|█████ | 35709/70000 [12:38:16<12:00:44, 1.26s/step] Training: 51%|█████ | 35710/70000 [12:38:17<11:48:47, 1.24s/step] Training: 51%|█████ | 35711/70000 [12:38:19<12:03:52, 1.27s/step] Training: 51%|█████ | 35712/70000 [12:38:20<12:14:10, 1.28s/step] Training: 51%|█████ | 35713/70000 [12:38:21<12:06:12, 1.27s/step] Training: 51%|█████ | 35714/70000 [12:38:22<11:52:09, 1.25s/step] Training: 51%|█████ | 35715/70000 [12:38:24<12:18:51, 1.29s/step] Training: 51%|█████ | 35716/70000 [12:38:25<12:01:53, 1.26s/step] Training: 51%|█████ | 35717/70000 [12:38:26<12:11:47, 1.28s/step] Training: 51%|█████ | 35718/70000 [12:38:28<11:56:08, 1.25s/step] Training: 51%|█████ | 35719/70000 [12:38:29<12:07:59, 1.27s/step] Training: 51%|█████ | 35720/70000 [12:38:30<12:24:58, 1.30s/step] Training: 51%|█████ | 35721/70000 [12:38:31<12:09:13, 1.28s/step] Training: 51%|█████ | 35722/70000 [12:38:33<11:53:45, 1.25s/step] Training: 51%|█████ | 35723/70000 [12:38:34<12:13:23, 1.28s/step] Training: 51%|█████ | 35724/70000 [12:38:35<11:55:18, 1.25s/step] Training: 51%|█████ | 35725/70000 [12:38:36<12:08:54, 1.28s/step] Training: 51%|█████ | 35726/70000 [12:38:38<11:54:00, 1.25s/step] Training: 51%|█████ | 35727/70000 [12:38:39<11:48:58, 1.24s/step] Training: 51%|█████ | 35728/70000 [12:38:40<12:09:25, 1.28s/step] Training: 51%|█████ | 35729/70000 [12:38:42<12:19:23, 1.29s/step] Training: 51%|█████ | 35730/70000 [12:38:43<12:01:18, 1.26s/step] Training: 51%|█████ | 35731/70000 [12:38:44<11:56:30, 1.25s/step] Training: 51%|█████ | 35732/70000 [12:38:45<11:43:31, 1.23s/step] Training: 51%|█████ | 35733/70000 [12:38:47<11:59:21, 1.26s/step] Training: 51%|█████ | 35734/70000 [12:38:48<11:46:54, 1.24s/step] Training: 51%|█████ | 35735/70000 [12:38:49<12:01:56, 1.26s/step] Training: 51%|█████ | 35736/70000 [12:38:50<11:54:10, 1.25s/step] Training: 51%|█████ | 35737/70000 [12:38:52<12:29:36, 1.31s/step] Training: 51%|█████ | 35738/70000 [12:38:53<12:08:40, 1.28s/step] Training: 51%|█████ | 35739/70000 [12:38:54<12:17:14, 1.29s/step] Training: 51%|█████ | 35740/70000 [12:38:56<12:26:07, 1.31s/step] Training: 51%|█████ | 35741/70000 [12:38:57<12:08:18, 1.28s/step] Training: 51%|█████ | 35742/70000 [12:38:58<11:53:49, 1.25s/step] Training: 51%|█████ | 35743/70000 [12:38:59<12:07:02, 1.27s/step] Training: 51%|█████ | 35744/70000 [12:39:01<12:16:23, 1.29s/step] Training: 51%|█████ | 35745/70000 [12:39:02<12:08:48, 1.28s/step] Training: 51%|█████ | 35746/70000 [12:39:03<11:53:51, 1.25s/step] Training: 51%|█████ | 35747/70000 [12:39:04<12:07:03, 1.27s/step] Training: 51%|█████ | 35748/70000 [12:39:06<12:13:39, 1.29s/step] Training: 51%|█████ | 35749/70000 [12:39:07<12:21:05, 1.30s/step] Training: 51%|█████ | 35750/70000 [12:39:08<12:02:43, 1.27s/step] Training: 51%|█████ | 35751/70000 [12:39:10<12:12:59, 1.28s/step] Training: 51%|█████ | 35752/70000 [12:39:11<12:39:32, 1.33s/step] Training: 51%|█████ | 35753/70000 [12:39:12<12:20:04, 1.30s/step] Training: 51%|█████ | 35754/70000 [12:39:13<12:02:29, 1.27s/step] Training: 51%|█████ | 35755/70000 [12:39:15<12:16:14, 1.29s/step] Training: 51%|█████ | 35756/70000 [12:39:16<12:28:36, 1.31s/step] Training: 51%|█████ | 35757/70000 [12:39:17<12:29:44, 1.31s/step] Training: 51%|█████ | 35758/70000 [12:39:19<12:09:59, 1.28s/step] Training: 51%|█████ | 35759/70000 [12:39:20<11:58:15, 1.26s/step] Training: 51%|█████ | 35760/70000 [12:39:21<12:17:04, 1.29s/step] Training: 51%|█████ | 35761/70000 [12:39:23<12:23:54, 1.30s/step] Training: 51%|█████ | 35762/70000 [12:39:24<12:05:51, 1.27s/step] Training: 51%|█████ | 35763/70000 [12:39:25<11:54:30, 1.25s/step] Training: 51%|█████ | 35764/70000 [12:39:26<11:44:20, 1.23s/step] Training: 51%|█████ | 35765/70000 [12:39:28<12:20:45, 1.30s/step] Training: 51%|█████ | 35766/70000 [12:39:29<12:02:35, 1.27s/step] Training: 51%|█████ | 35767/70000 [12:39:30<12:12:11, 1.28s/step] Training: 51%|█████ | 35768/70000 [12:39:31<12:36:41, 1.33s/step] Training: 51%|█████ | 35769/70000 [12:39:33<12:38:09, 1.33s/step] Training: 51%|█████ | 35770/70000 [12:39:34<12:15:15, 1.29s/step] Training: 51%|█████ | 35771/70000 [12:39:35<12:21:58, 1.30s/step] Training: 51%|█████ | 35772/70000 [12:39:37<12:02:37, 1.27s/step] Training: 51%|█████ | 35773/70000 [12:39:38<12:15:40, 1.29s/step] Training: 51%|█████ | 35774/70000 [12:39:39<11:57:09, 1.26s/step] Training: 51%|█████ | 35775/70000 [12:39:40<12:09:08, 1.28s/step] Training: 51%|█████ | 35776/70000 [12:39:42<12:18:57, 1.30s/step] Training: 51%|█████ | 35777/70000 [12:39:43<12:08:04, 1.28s/step] Training: 51%|█████ | 35778/70000 [12:39:44<11:52:53, 1.25s/step] Training: 51%|█████ | 35779/70000 [12:39:45<12:06:42, 1.27s/step] Training: 51%|█████ | 35780/70000 [12:39:47<11:51:45, 1.25s/step] Training: 51%|█████ | 35781/70000 [12:39:48<12:06:24, 1.27s/step] Training: 51%|█████ | 35782/70000 [12:39:49<11:52:09, 1.25s/step] Training: 51%|█████ | 35783/70000 [12:39:51<12:04:31, 1.27s/step] Training: 51%|█████ | 35784/70000 [12:39:52<12:15:22, 1.29s/step] Training: 51%|█████ | 35785/70000 [12:39:53<12:02:10, 1.27s/step] Training: 51%|█████ | 35786/70000 [12:39:54<11:49:05, 1.24s/step] Training: 51%|█████ | 35787/70000 [12:39:56<12:02:08, 1.27s/step] Training: 51%|█████ | 35788/70000 [12:39:57<11:48:40, 1.24s/step] Training: 51%|█████ | 35789/70000 [12:39:58<12:09:34, 1.28s/step] Training: 51%|█████ | 35790/70000 [12:39:59<11:55:26, 1.25s/step] Training: 51%|█████ | 35791/70000 [12:40:01<11:47:47, 1.24s/step] Training: 51%|█████ | 35792/70000 [12:40:02<12:10:14, 1.28s/step] Training: 51%|█████ | 35793/70000 [12:40:03<12:38:28, 1.33s/step] Training: 51%|█████ | 35794/70000 [12:40:05<12:14:37, 1.29s/step] Training: 51%|█████ | 35795/70000 [12:40:06<12:01:13, 1.27s/step] Training: 51%|█████ | 35796/70000 [12:40:07<11:49:10, 1.24s/step] Training: 51%|█████ | 35797/70000 [12:40:08<12:03:45, 1.27s/step] Training: 51%|█████ | 35798/70000 [12:40:09<11:50:36, 1.25s/step] Training: 51%|█████ | 35799/70000 [12:40:11<12:08:19, 1.28s/step] Training: 51%|█████ | 35800/70000 [12:40:12<12:04:41, 1.27s/step]INFO 2026-03-13 08:50:04 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.34 loss:0.016 grdn:2.006 lr:1.3e-05 updt_s:1.254 data_s:0.019 Training: 51%|█████ | 35801/70000 [12:40:13<12:30:05, 1.32s/step] Training: 51%|█████ | 35802/70000 [12:40:15<12:08:27, 1.28s/step] Training: 51%|█████ | 35803/70000 [12:40:16<12:16:08, 1.29s/step] Training: 51%|█████ | 35804/70000 [12:40:17<11:58:36, 1.26s/step] Training: 51%|█████ | 35805/70000 [12:40:18<11:47:13, 1.24s/step] Training: 51%|█████ | 35806/70000 [12:40:20<12:23:32, 1.30s/step] Training: 51%|█████ | 35807/70000 [12:40:21<12:27:05, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=8135 Training: 51%|█████ | 35808/70000 [12:40:23<12:30:56, 1.32s/step] Training: 51%|█████ | 35809/70000 [12:40:24<12:15:03, 1.29s/step] Training: 51%|█████ | 35810/70000 [12:40:25<11:57:30, 1.26s/step] Training: 51%|█████ | 35811/70000 [12:40:26<12:07:56, 1.28s/step] Training: 51%|█████ | 35812/70000 [12:40:27<11:53:34, 1.25s/step] Training: 51%|█████ | 35813/70000 [12:40:29<12:07:00, 1.28s/step] Training: 51%|█████ | 35814/70000 [12:40:30<12:03:46, 1.27s/step] Training: 51%|█████ | 35815/70000 [12:40:31<12:13:07, 1.29s/step] Training: 51%|█████ | 35816/70000 [12:40:33<12:20:07, 1.30s/step] Training: 51%|█████ | 35817/70000 [12:40:34<12:19:42, 1.30s/step] Training: 51%|█████ | 35818/70000 [12:40:35<12:00:53, 1.27s/step] Training: 51%|█████ | 35819/70000 [12:40:36<12:12:49, 1.29s/step] Training: 51%|█████ | 35820/70000 [12:40:38<11:56:59, 1.26s/step] Training: 51%|█████ | 35821/70000 [12:40:39<11:47:18, 1.24s/step] Training: 51%|█████ | 35822/70000 [12:40:40<11:37:59, 1.23s/step] Training: 51%|█████ | 35823/70000 [12:40:41<11:57:10, 1.26s/step] Training: 51%|█████ | 35824/70000 [12:40:43<11:56:25, 1.26s/step] Training: 51%|█████ | 35825/70000 [12:40:44<12:10:13, 1.28s/step] Training: 51%|█████ | 35826/70000 [12:40:45<11:55:21, 1.26s/step] Training: 51%|█████ | 35827/70000 [12:40:46<11:46:16, 1.24s/step] Training: 51%|█████ | 35828/70000 [12:40:48<11:37:32, 1.22s/step] Training: 51%|█████ | 35829/70000 [12:40:49<11:39:13, 1.23s/step] Training: 51%|█████ | 35830/70000 [12:40:50<12:01:09, 1.27s/step] Training: 51%|█████ | 35831/70000 [12:40:52<12:09:39, 1.28s/step] Training: 51%|█████ | 35832/70000 [12:40:53<11:59:32, 1.26s/step] Training: 51%|█████ | 35833/70000 [12:40:54<12:31:03, 1.32s/step] Training: 51%|█████ | 35834/70000 [12:40:55<12:10:26, 1.28s/step] Training: 51%|█████ | 35835/70000 [12:40:57<12:19:28, 1.30s/step] Training: 51%|█████ | 35836/70000 [12:40:58<12:00:48, 1.27s/step] Training: 51%|█████ | 35837/70000 [12:40:59<11:47:41, 1.24s/step] Training: 51%|█████ | 35838/70000 [12:41:00<12:02:09, 1.27s/step] Training: 51%|█████ | 35839/70000 [12:41:02<12:29:09, 1.32s/step] Training: 51%|█████ | 35840/70000 [12:41:03<12:29:47, 1.32s/step] Training: 51%|█████ | 35841/70000 [12:41:05<12:50:34, 1.35s/step] Training: 51%|█████ | 35842/70000 [12:41:06<12:22:16, 1.30s/step] Training: 51%|█████ | 35843/70000 [12:41:07<12:27:17, 1.31s/step] Training: 51%|█████ | 35844/70000 [12:41:08<12:06:41, 1.28s/step] Training: 51%|█████ | 35845/70000 [12:41:09<11:51:10, 1.25s/step] Training: 51%|█████ | 35846/70000 [12:41:11<11:41:58, 1.23s/step] Training: 51%|█████ | 35847/70000 [12:41:12<12:12:25, 1.29s/step] Training: 51%|█████ | 35848/70000 [12:41:13<12:19:17, 1.30s/step] Training: 51%|█████ | 35849/70000 [12:41:15<12:39:33, 1.33s/step] Training: 51%|█████ | 35850/70000 [12:41:16<12:14:49, 1.29s/step] Training: 51%|█████ | 35851/70000 [12:41:17<12:22:33, 1.30s/step] Training: 51%|█████ | 35852/70000 [12:41:19<12:03:49, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=38810 Training: 51%|█████ | 35853/70000 [12:41:20<11:55:00, 1.26s/step] Training: 51%|█████ | 35854/70000 [12:41:21<11:43:55, 1.24s/step] Training: 51%|█████ | 35855/70000 [12:41:22<12:01:06, 1.27s/step] Training: 51%|█████ | 35856/70000 [12:41:24<11:53:06, 1.25s/step] Training: 51%|█████ | 35857/70000 [12:41:25<12:06:30, 1.28s/step] Training: 51%|█████ | 35858/70000 [12:41:26<11:52:58, 1.25s/step] Training: 51%|█████ | 35859/70000 [12:41:27<11:45:18, 1.24s/step] Training: 51%|█████ | 35860/70000 [12:41:28<11:36:47, 1.22s/step] Training: 51%|█████ | 35861/70000 [12:41:30<11:34:06, 1.22s/step] Training: 51%|█████ | 35862/70000 [12:41:31<11:29:17, 1.21s/step] Training: 51%|█████ | 35863/70000 [12:41:32<11:52:02, 1.25s/step] Training: 51%|█████ | 35864/70000 [12:41:33<11:43:25, 1.24s/step] Training: 51%|█████ | 35865/70000 [12:41:35<11:59:42, 1.27s/step] Training: 51%|█████ | 35866/70000 [12:41:36<12:11:12, 1.29s/step] Training: 51%|█████ | 35867/70000 [12:41:37<12:19:43, 1.30s/step] Training: 51%|█████ | 35868/70000 [12:41:39<12:01:16, 1.27s/step] Training: 51%|█████ | 35869/70000 [12:41:40<12:12:31, 1.29s/step] Training: 51%|█████ | 35870/70000 [12:41:41<11:56:47, 1.26s/step] Training: 51%|█████ | 35871/70000 [12:41:42<12:08:15, 1.28s/step] Training: 51%|█████ | 35872/70000 [12:41:44<12:16:47, 1.30s/step] Training: 51%|█████ | 35873/70000 [12:41:45<12:24:22, 1.31s/step] Training: 51%|█████ | 35874/70000 [12:41:46<12:25:13, 1.31s/step] Training: 51%|█████▏ | 35875/70000 [12:41:48<12:31:46, 1.32s/step] Training: 51%|█████▏ | 35876/70000 [12:41:49<12:09:04, 1.28s/step] Training: 51%|█████▏ | 35877/70000 [12:41:50<12:18:45, 1.30s/step] Training: 51%|█████▏ | 35878/70000 [12:41:52<12:00:42, 1.27s/step] Training: 51%|█████▏ | 35879/70000 [12:41:53<12:09:09, 1.28s/step] Training: 51%|█████▏ | 35880/70000 [12:41:54<12:34:17, 1.33s/step] Training: 51%|█████▏ | 35881/70000 [12:41:56<12:33:58, 1.33s/step] Training: 51%|█████▏ | 35882/70000 [12:41:57<12:11:42, 1.29s/step] Training: 51%|█████▏ | 35883/70000 [12:41:58<12:19:19, 1.30s/step] Training: 51%|█████▏ | 35884/70000 [12:41:59<12:00:30, 1.27s/step] Training: 51%|█████▏ | 35885/70000 [12:42:01<11:55:26, 1.26s/step] Training: 51%|█████▏ | 35886/70000 [12:42:02<11:43:27, 1.24s/step] Training: 51%|█████▏ | 35887/70000 [12:42:03<11:38:19, 1.23s/step] Training: 51%|█████▏ | 35888/70000 [12:42:04<11:51:58, 1.25s/step] Training: 51%|█████▏ | 35889/70000 [12:42:06<12:02:18, 1.27s/step] Training: 51%|█████▏ | 35890/70000 [12:42:07<12:11:00, 1.29s/step] Training: 51%|█████▏ | 35891/70000 [12:42:08<11:57:33, 1.26s/step] Training: 51%|█████▏ | 35892/70000 [12:42:09<11:45:00, 1.24s/step] Training: 51%|█████▏ | 35893/70000 [12:42:10<11:39:32, 1.23s/step] Training: 51%|█████▏ | 35894/70000 [12:42:12<11:33:34, 1.22s/step] Training: 51%|█████▏ | 35895/70000 [12:42:13<11:52:09, 1.25s/step] Training: 51%|█████▏ | 35896/70000 [12:42:14<12:14:28, 1.29s/step] Training: 51%|█████▏ | 35897/70000 [12:42:16<12:17:50, 1.30s/step] Training: 51%|█████▏ | 35898/70000 [12:42:17<12:22:59, 1.31s/step] Training: 51%|█████▏ | 35899/70000 [12:42:18<12:28:35, 1.32s/step] Training: 51%|█████▏ | 35900/70000 [12:42:20<12:06:40, 1.28s/step]INFO 2026-03-13 08:52:12 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.43 loss:0.015 grdn:2.450 lr:1.3e-05 updt_s:1.254 data_s:0.019 Training: 51%|█████▏ | 35901/70000 [12:42:21<12:15:51, 1.29s/step] Training: 51%|█████▏ | 35902/70000 [12:42:22<11:59:04, 1.27s/step] Training: 51%|█████▏ | 35903/70000 [12:42:23<12:10:35, 1.29s/step] Training: 51%|█████▏ | 35904/70000 [12:42:25<12:18:08, 1.30s/step] Training: 51%|█████▏ | 35905/70000 [12:42:26<12:43:07, 1.34s/step] Training: 51%|█████▏ | 35906/70000 [12:42:27<12:20:15, 1.30s/step] Training: 51%|█████▏ | 35907/70000 [12:42:29<12:26:30, 1.31s/step] Training: 51%|█████▏ | 35908/70000 [12:42:30<12:05:06, 1.28s/step] Training: 51%|█████▏ | 35909/70000 [12:42:31<12:14:22, 1.29s/step] Training: 51%|█████▏ | 35910/70000 [12:42:32<11:56:53, 1.26s/step] Training: 51%|█████▏ | 35911/70000 [12:42:34<12:06:58, 1.28s/step] Training: 51%|█████▏ | 35912/70000 [12:42:35<12:15:31, 1.29s/step] Training: 51%|█████▏ | 35913/70000 [12:42:37<12:43:40, 1.34s/step] Training: 51%|█████▏ | 35914/70000 [12:42:38<12:41:17, 1.34s/step] Training: 51%|█████▏ | 35915/70000 [12:42:39<12:40:16, 1.34s/step] Training: 51%|█████▏ | 35916/70000 [12:42:40<12:14:38, 1.29s/step] Training: 51%|█████▏ | 35917/70000 [12:42:42<12:04:27, 1.28s/step] Training: 51%|█████▏ | 35918/70000 [12:42:43<11:49:27, 1.25s/step] Training: 51%|█████▏ | 35919/70000 [12:42:44<11:41:43, 1.24s/step] Training: 51%|█████▏ | 35920/70000 [12:42:45<11:39:21, 1.23s/step] Training: 51%|█████▏ | 35921/70000 [12:42:47<11:58:43, 1.27s/step] Training: 51%|█████▏ | 35922/70000 [12:42:48<12:30:39, 1.32s/step] Training: 51%|█████▏ | 35923/70000 [12:42:49<12:10:47, 1.29s/step] Training: 51%|█████▏ | 35924/70000 [12:42:50<11:53:54, 1.26s/step] Training: 51%|█████▏ | 35925/70000 [12:42:52<11:45:09, 1.24s/step] Training: 51%|█████▏ | 35926/70000 [12:42:53<11:37:13, 1.23s/step] Training: 51%|█████▏ | 35927/70000 [12:42:54<11:54:47, 1.26s/step] Training: 51%|█████▏ | 35928/70000 [12:42:55<11:46:16, 1.24s/step] Training: 51%|█████▏ | 35929/70000 [12:42:57<11:46:36, 1.24s/step] Training: 51%|█████▏ | 35930/70000 [12:42:58<12:19:30, 1.30s/step] Training: 51%|█████▏ | 35931/70000 [12:42:59<12:24:20, 1.31s/step] Training: 51%|█████▏ | 35932/70000 [12:43:01<12:03:18, 1.27s/step] Training: 51%|█████▏ | 35933/70000 [12:43:02<12:12:16, 1.29s/step] Training: 51%|█████▏ | 35934/70000 [12:43:03<11:54:49, 1.26s/step] Training: 51%|█████▏ | 35935/70000 [12:43:04<12:06:54, 1.28s/step] Training: 51%|█████▏ | 35936/70000 [12:43:06<12:15:53, 1.30s/step] Training: 51%|█████▏ | 35937/70000 [12:43:07<12:25:42, 1.31s/step] Training: 51%|█████▏ | 35938/70000 [12:43:08<12:20:37, 1.30s/step] Training: 51%|█████▏ | 35939/70000 [12:43:10<12:23:57, 1.31s/step] Training: 51%|█████▏ | 35940/70000 [12:43:11<12:02:50, 1.27s/step] Training: 51%|█████▏ | 35941/70000 [12:43:12<12:11:30, 1.29s/step] Training: 51%|█████▏ | 35942/70000 [12:43:13<11:54:33, 1.26s/step] Training: 51%|█████▏ | 35943/70000 [12:43:15<12:05:42, 1.28s/step] Training: 51%|█████▏ | 35944/70000 [12:43:16<12:12:43, 1.29s/step] Training: 51%|█████▏ | 35945/70000 [12:43:17<12:19:04, 1.30s/step] Training: 51%|█████▏ | 35946/70000 [12:43:19<12:24:19, 1.31s/step] Training: 51%|█████▏ | 35947/70000 [12:43:20<12:26:42, 1.32s/step] Training: 51%|█████▏ | 35948/70000 [12:43:21<12:04:49, 1.28s/step] Training: 51%|█████▏ | 35949/70000 [12:43:22<11:58:10, 1.27s/step] Training: 51%|█████▏ | 35950/70000 [12:43:24<11:45:05, 1.24s/step] Training: 51%|█████▏ | 35951/70000 [12:43:25<11:38:27, 1.23s/step] Training: 51%|█████▏ | 35952/70000 [12:43:26<11:37:02, 1.23s/step] Training: 51%|█████▏ | 35953/70000 [12:43:27<11:53:57, 1.26s/step] Training: 51%|█████▏ | 35954/70000 [12:43:29<12:26:45, 1.32s/step] Training: 51%|█████▏ | 35955/70000 [12:43:30<12:07:49, 1.28s/step] Training: 51%|█████▏ | 35956/70000 [12:43:31<11:51:26, 1.25s/step] Training: 51%|█████▏ | 35957/70000 [12:43:32<11:43:55, 1.24s/step] Training: 51%|█████▏ | 35958/70000 [12:43:34<11:35:18, 1.23s/step] Training: 51%|█████▏ | 35959/70000 [12:43:35<11:51:28, 1.25s/step] Training: 51%|█████▏ | 35960/70000 [12:43:36<11:41:44, 1.24s/step] Training: 51%|█████▏ | 35961/70000 [12:43:37<11:36:27, 1.23s/step] Training: 51%|█████▏ | 35962/70000 [12:43:39<12:12:24, 1.29s/step] Training: 51%|█████▏ | 35963/70000 [12:43:40<12:20:01, 1.30s/step] Training: 51%|█████▏ | 35964/70000 [12:43:41<12:00:36, 1.27s/step] Training: 51%|█████▏ | 35965/70000 [12:43:43<12:10:31, 1.29s/step] Training: 51%|█████▏ | 35966/70000 [12:43:44<11:54:26, 1.26s/step] Training: 51%|█████▏ | 35967/70000 [12:43:45<12:06:06, 1.28s/step] Training: 51%|█████▏ | 35968/70000 [12:43:47<12:13:46, 1.29s/step] Training: 51%|█████▏ | 35969/70000 [12:43:48<12:19:41, 1.30s/step] Training: 51%|█████▏ | 35970/70000 [12:43:49<12:28:59, 1.32s/step] Training: 51%|█████▏ | 35971/70000 [12:43:51<12:31:01, 1.32s/step] Training: 51%|█████▏ | 35972/70000 [12:43:52<12:08:05, 1.28s/step] Training: 51%|█████▏ | 35973/70000 [12:43:53<12:17:38, 1.30s/step] Training: 51%|█████▏ | 35974/70000 [12:43:54<11:59:14, 1.27s/step] Training: 51%|█████▏ | 35975/70000 [12:43:56<12:08:08, 1.28s/step] Training: 51%|█████▏ | 35976/70000 [12:43:57<12:15:36, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=38810 Training: 51%|█████▏ | 35977/70000 [12:43:58<12:20:41, 1.31s/step] Training: 51%|█████▏ | 35978/70000 [12:44:00<12:25:05, 1.31s/step] Training: 51%|█████▏ | 35979/70000 [12:44:01<12:48:04, 1.35s/step] Training: 51%|█████▏ | 35980/70000 [12:44:02<12:20:13, 1.31s/step] Training: 51%|█████▏ | 35981/70000 [12:44:03<12:06:37, 1.28s/step] Training: 51%|█████▏ | 35982/70000 [12:44:05<11:50:49, 1.25s/step] Training: 51%|█████▏ | 35983/70000 [12:44:06<11:41:06, 1.24s/step] Training: 51%|█████▏ | 35984/70000 [12:44:07<11:39:43, 1.23s/step] Training: 51%|█████▏ | 35985/70000 [12:44:08<11:54:37, 1.26s/step] Training: 51%|█████▏ | 35986/70000 [12:44:10<12:07:51, 1.28s/step] Training: 51%|█████▏ | 35987/70000 [12:44:11<12:19:00, 1.30s/step] Training: 51%|█████▏ | 35988/70000 [12:44:12<11:57:54, 1.27s/step] Training: 51%|█████▏ | 35989/70000 [12:44:13<11:48:35, 1.25s/step] Training: 51%|█████▏ | 35990/70000 [12:44:15<11:38:35, 1.23s/step] Training: 51%|█████▏ | 35991/70000 [12:44:16<11:54:08, 1.26s/step] Training: 51%|█████▏ | 35992/70000 [12:44:17<11:45:51, 1.25s/step] Training: 51%|█████▏ | 35993/70000 [12:44:18<11:39:57, 1.23s/step] Training: 51%|█████▏ | 35994/70000 [12:44:20<12:02:31, 1.27s/step] Training: 51%|█████▏ | 35995/70000 [12:44:21<12:11:25, 1.29s/step] Training: 51%|█████▏ | 35996/70000 [12:44:22<11:54:16, 1.26s/step] Training: 51%|█████▏ | 35997/70000 [12:44:24<12:05:16, 1.28s/step] Training: 51%|█████▏ | 35998/70000 [12:44:25<11:49:51, 1.25s/step] Training: 51%|█████▏ | 35999/70000 [12:44:26<12:01:30, 1.27s/step] Training: 51%|█████▏ | 36000/70000 [12:44:27<12:11:28, 1.29s/step]INFO 2026-03-13 08:54:20 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.51 loss:0.015 grdn:2.335 lr:1.2e-05 updt_s:1.257 data_s:0.020 Training: 51%|█████▏ | 36001/70000 [12:44:29<12:16:59, 1.30s/step] Training: 51%|█████▏ | 36002/70000 [12:44:30<12:02:52, 1.28s/step] Training: 51%|█████▏ | 36003/70000 [12:44:31<12:18:48, 1.30s/step] Training: 51%|█████▏ | 36004/70000 [12:44:33<11:59:39, 1.27s/step] Training: 51%|█████▏ | 36005/70000 [12:44:34<12:10:28, 1.29s/step] Training: 51%|█████▏ | 36006/70000 [12:44:35<11:53:32, 1.26s/step] Training: 51%|█████▏ | 36007/70000 [12:44:36<12:05:10, 1.28s/step] Training: 51%|█████▏ | 36008/70000 [12:44:38<12:15:57, 1.30s/step] Training: 51%|█████▏ | 36009/70000 [12:44:39<12:22:30, 1.31s/step] Training: 51%|█████▏ | 36010/70000 [12:44:40<12:26:13, 1.32s/step] Training: 51%|█████▏ | 36011/70000 [12:44:42<12:29:01, 1.32s/step] Training: 51%|█████▏ | 36012/70000 [12:44:43<12:06:28, 1.28s/step] Training: 51%|█████▏ | 36013/70000 [12:44:44<11:57:27, 1.27s/step] Training: 51%|█████▏ | 36014/70000 [12:44:45<11:43:55, 1.24s/step] Training: 51%|█████▏ | 36015/70000 [12:44:47<11:40:50, 1.24s/step] Training: 51%|█████▏ | 36016/70000 [12:44:48<11:38:31, 1.23s/step] Training: 51%|█████▏ | 36017/70000 [12:44:49<11:53:37, 1.26s/step] Training: 51%|█████▏ | 36018/70000 [12:44:50<12:05:13, 1.28s/step] Training: 51%|█████▏ | 36019/70000 [12:44:52<11:52:00, 1.26s/step] Training: 51%|█████▏ | 36020/70000 [12:44:53<12:09:14, 1.29s/step] Training: 51%|█████▏ | 36021/70000 [12:44:54<11:55:07, 1.26s/step] Training: 51%|█████▏ | 36022/70000 [12:44:55<11:43:26, 1.24s/step] Training: 51%|█████▏ | 36023/70000 [12:44:57<11:57:28, 1.27s/step] Training: 51%|█████▏ | 36024/70000 [12:44:58<11:46:57, 1.25s/step] Training: 51%|█████▏ | 36025/70000 [12:44:59<11:40:34, 1.24s/step] Training: 51%|█████▏ | 36026/70000 [12:45:01<12:02:01, 1.28s/step] Training: 51%|█████▏ | 36027/70000 [12:45:02<12:13:03, 1.29s/step] Training: 51%|█████▏ | 36028/70000 [12:45:03<12:10:12, 1.29s/step] Training: 51%|█████▏ | 36029/70000 [12:45:04<12:17:20, 1.30s/step] Training: 51%|█████▏ | 36030/70000 [12:45:06<11:59:30, 1.27s/step] Training: 51%|█████▏ | 36031/70000 [12:45:07<12:07:57, 1.29s/step] Training: 51%|█████▏ | 36032/70000 [12:45:08<12:17:41, 1.30s/step] Training: 51%|█████▏ | 36033/70000 [12:45:10<12:24:18, 1.31s/step] Training: 51%|█████▏ | 36034/70000 [12:45:11<12:08:18, 1.29s/step] Training: 51%|█████▏ | 36035/70000 [12:45:12<12:17:15, 1.30s/step] Training: 51%|█████▏ | 36036/70000 [12:45:13<11:57:52, 1.27s/step] Training: 51%|█████▏ | 36037/70000 [12:45:15<12:30:13, 1.33s/step] Training: 51%|█████▏ | 36038/70000 [12:45:16<12:08:37, 1.29s/step] Training: 51%|█████▏ | 36039/70000 [12:45:17<11:59:13, 1.27s/step] Training: 51%|█████▏ | 36040/70000 [12:45:19<12:08:33, 1.29s/step] Training: 51%|█████▏ | 36041/70000 [12:45:20<11:51:52, 1.26s/step] Training: 51%|█████▏ | 36042/70000 [12:45:21<12:23:49, 1.31s/step] Training: 51%|█████▏ | 36043/70000 [12:45:23<12:27:41, 1.32s/step] Training: 51%|█████▏ | 36044/70000 [12:45:24<12:37:56, 1.34s/step] Training: 51%|█████▏ | 36045/70000 [12:45:25<12:18:12, 1.30s/step] Training: 51%|█████▏ | 36046/70000 [12:45:26<11:58:49, 1.27s/step] Training: 51%|█████▏ | 36047/70000 [12:45:28<11:48:37, 1.25s/step] Training: 51%|█████▏ | 36048/70000 [12:45:29<11:43:25, 1.24s/step] Training: 51%|█████▏ | 36049/70000 [12:45:30<11:34:21, 1.23s/step] Training: 52%|█████▏ | 36050/70000 [12:45:31<12:12:13, 1.29s/step] Training: 52%|█████▏ | 36051/70000 [12:45:33<11:59:19, 1.27s/step] Training: 52%|█████▏ | 36052/70000 [12:45:34<11:45:44, 1.25s/step] Training: 52%|█████▏ | 36053/70000 [12:45:35<12:04:54, 1.28s/step] Training: 52%|█████▏ | 36054/70000 [12:45:36<11:48:06, 1.25s/step] Training: 52%|█████▏ | 36055/70000 [12:45:38<12:00:56, 1.27s/step] Training: 52%|█████▏ | 36056/70000 [12:45:39<11:49:37, 1.25s/step] Training: 52%|█████▏ | 36057/70000 [12:45:40<11:39:04, 1.24s/step] Training: 52%|█████▏ | 36058/70000 [12:45:42<12:01:38, 1.28s/step] Training: 52%|█████▏ | 36059/70000 [12:45:43<12:11:15, 1.29s/step] Training: 52%|█████▏ | 36060/70000 [12:45:44<11:53:41, 1.26s/step] Training: 52%|█████▏ | 36061/70000 [12:45:45<12:22:11, 1.31s/step] Training: 52%|█████▏ | 36062/70000 [12:45:47<12:02:06, 1.28s/step] Training: 52%|█████▏ | 36063/70000 [12:45:48<11:47:01, 1.25s/step] Training: 52%|█████▏ | 36064/70000 [12:45:49<12:14:54, 1.30s/step] Training: 52%|█████▏ | 36065/70000 [12:45:50<11:56:38, 1.27s/step] Training: 52%|█████▏ | 36066/70000 [12:45:52<11:49:53, 1.26s/step] Training: 52%|█████▏ | 36067/70000 [12:45:53<12:03:52, 1.28s/step] Training: 52%|█████▏ | 36068/70000 [12:45:54<11:49:04, 1.25s/step] Training: 52%|█████▏ | 36069/70000 [12:45:56<12:01:07, 1.28s/step] Training: 52%|█████▏ | 36070/70000 [12:45:57<11:46:35, 1.25s/step] Training: 52%|█████▏ | 36071/70000 [12:45:58<11:36:32, 1.23s/step] Training: 52%|█████▏ | 36072/70000 [12:45:59<12:11:09, 1.29s/step] Training: 52%|█████▏ | 36073/70000 [12:46:01<11:53:40, 1.26s/step] Training: 52%|█████▏ | 36074/70000 [12:46:02<12:07:21, 1.29s/step] Training: 52%|█████▏ | 36075/70000 [12:46:03<12:13:56, 1.30s/step] Training: 52%|█████▏ | 36076/70000 [12:46:04<11:55:28, 1.27s/step] Training: 52%|█████▏ | 36077/70000 [12:46:06<11:56:56, 1.27s/step] Training: 52%|█████▏ | 36078/70000 [12:46:07<11:43:35, 1.24s/step] Training: 52%|█████▏ | 36079/70000 [12:46:08<11:34:23, 1.23s/step] Training: 52%|█████▏ | 36080/70000 [12:46:09<11:34:57, 1.23s/step] Training: 52%|█████▏ | 36081/70000 [12:46:11<11:27:46, 1.22s/step] Training: 52%|█████▏ | 36082/70000 [12:46:12<11:46:39, 1.25s/step] Training: 52%|█████▏ | 36083/70000 [12:46:13<11:40:38, 1.24s/step] Training: 52%|█████▏ | 36084/70000 [12:46:14<11:32:12, 1.22s/step] Training: 52%|█████▏ | 36085/70000 [12:46:15<11:34:14, 1.23s/step] Training: 52%|█████▏ | 36086/70000 [12:46:17<11:27:39, 1.22s/step] Training: 52%|█████▏ | 36087/70000 [12:46:18<11:23:19, 1.21s/step] Training: 52%|█████▏ | 36088/70000 [12:46:19<11:39:04, 1.24s/step] Training: 52%|█████▏ | 36089/70000 [12:46:20<11:31:10, 1.22s/step] Training: 52%|█████▏ | 36090/70000 [12:46:22<11:55:34, 1.27s/step] Training: 52%|█████▏ | 36091/70000 [12:46:23<12:07:20, 1.29s/step] Training: 52%|█████▏ | 36092/70000 [12:46:24<11:50:40, 1.26s/step] Training: 52%|█████▏ | 36093/70000 [12:46:26<12:02:43, 1.28s/step] Training: 52%|█████▏ | 36094/70000 [12:46:27<12:13:53, 1.30s/step] Training: 52%|█████▏ | 36095/70000 [12:46:28<11:53:58, 1.26s/step] Training: 52%|█████▏ | 36096/70000 [12:46:29<12:04:55, 1.28s/step] Training: 52%|█████▏ | 36097/70000 [12:46:31<11:49:16, 1.26s/step] Training: 52%|█████▏ | 36098/70000 [12:46:32<12:02:47, 1.28s/step] Training: 52%|█████▏ | 36099/70000 [12:46:33<12:10:54, 1.29s/step] Training: 52%|█████▏ | 36100/70000 [12:46:34<11:53:24, 1.26s/step]INFO 2026-03-13 08:56:27 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.60 loss:0.016 grdn:2.498 lr:1.2e-05 updt_s:1.249 data_s:0.019 Training: 52%|█████▏ | 36101/70000 [12:46:36<12:03:29, 1.28s/step] Training: 52%|█████▏ | 36102/70000 [12:46:37<12:02:52, 1.28s/step] Training: 52%|█████▏ | 36103/70000 [12:46:38<11:47:23, 1.25s/step] Training: 52%|█████▏ | 36104/70000 [12:46:40<12:03:30, 1.28s/step] Training: 52%|█████▏ | 36105/70000 [12:46:41<11:47:57, 1.25s/step] Training: 52%|█████▏ | 36106/70000 [12:46:42<12:00:39, 1.28s/step] Training: 52%|█████▏ | 36107/70000 [12:46:43<12:13:03, 1.30s/step] Training: 52%|█████▏ | 36108/70000 [12:46:45<11:54:13, 1.26s/step] Training: 52%|█████▏ | 36109/70000 [12:46:46<11:46:57, 1.25s/step] Training: 52%|█████▏ | 36110/70000 [12:46:47<12:02:23, 1.28s/step] Training: 52%|█████▏ | 36111/70000 [12:46:48<11:44:37, 1.25s/step] Training: 52%|█████▏ | 36112/70000 [12:46:50<12:04:08, 1.28s/step] Training: 52%|█████▏ | 36113/70000 [12:46:51<11:48:14, 1.25s/step] Training: 52%|█████▏ | 36114/70000 [12:46:52<11:59:20, 1.27s/step] Training: 52%|█████▏ | 36115/70000 [12:46:53<11:52:14, 1.26s/step] Training: 52%|█████▏ | 36116/70000 [12:46:55<11:39:31, 1.24s/step] Training: 52%|█████▏ | 36117/70000 [12:46:56<11:33:48, 1.23s/step] Training: 52%|█████▏ | 36118/70000 [12:46:57<11:56:52, 1.27s/step] Training: 52%|█████▏ | 36119/70000 [12:46:58<11:44:21, 1.25s/step] Training: 52%|█████▏ | 36120/70000 [12:47:00<11:57:26, 1.27s/step] Training: 52%|█████▏ | 36121/70000 [12:47:01<11:44:39, 1.25s/step] Training: 52%|█████▏ | 36122/70000 [12:47:02<12:02:57, 1.28s/step] Training: 52%|█████▏ | 36123/70000 [12:47:04<12:13:14, 1.30s/step] Training: 52%|█████▏ | 36124/70000 [12:47:05<11:55:30, 1.27s/step] Training: 52%|█████▏ | 36125/70000 [12:47:06<12:06:07, 1.29s/step] Training: 52%|█████▏ | 36126/70000 [12:47:07<11:49:39, 1.26s/step] Training: 52%|█████▏ | 36127/70000 [12:47:09<12:04:04, 1.28s/step] Training: 52%|█████▏ | 36128/70000 [12:47:10<12:11:19, 1.30s/step] Training: 52%|█████▏ | 36129/70000 [12:47:11<11:52:56, 1.26s/step] Training: 52%|█████▏ | 36130/70000 [12:47:12<11:49:44, 1.26s/step] Training: 52%|█████▏ | 36131/70000 [12:47:14<12:03:54, 1.28s/step] Training: 52%|█████▏ | 36132/70000 [12:47:15<11:48:21, 1.25s/step] Training: 52%|█████▏ | 36133/70000 [12:47:16<11:59:13, 1.27s/step] Training: 52%|█████▏ | 36134/70000 [12:47:18<11:45:16, 1.25s/step] Training: 52%|█████▏ | 36135/70000 [12:47:19<12:00:27, 1.28s/step] Training: 52%|█████▏ | 36136/70000 [12:47:20<12:09:17, 1.29s/step] Training: 52%|█████▏ | 36137/70000 [12:47:21<11:51:57, 1.26s/step] Training: 52%|█████▏ | 36138/70000 [12:47:23<12:02:28, 1.28s/step] Training: 52%|█████▏ | 36139/70000 [12:47:24<12:12:54, 1.30s/step] Training: 52%|█████▏ | 36140/70000 [12:47:25<11:55:35, 1.27s/step] Training: 52%|█████▏ | 36141/70000 [12:47:26<11:48:21, 1.26s/step] Training: 52%|█████▏ | 36142/70000 [12:47:28<11:36:37, 1.23s/step] Training: 52%|█████▏ | 36143/70000 [12:47:29<11:53:13, 1.26s/step] Training: 52%|█████▏ | 36144/70000 [12:47:30<12:09:33, 1.29s/step] Training: 52%|█████▏ | 36145/70000 [12:47:32<11:51:52, 1.26s/step] Training: 52%|█████▏ | 36146/70000 [12:47:33<12:06:06, 1.29s/step] Training: 52%|█████▏ | 36147/70000 [12:47:34<11:53:33, 1.26s/step] Training: 52%|█████▏ | 36148/70000 [12:47:35<11:40:30, 1.24s/step] Training: 52%|█████▏ | 36149/70000 [12:47:36<11:35:03, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=15812 Training: 52%|█████▏ | 36150/70000 [12:47:38<11:28:16, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=6714 Training: 52%|█████▏ | 36151/70000 [12:47:39<11:49:52, 1.26s/step] Training: 52%|█████▏ | 36152/70000 [12:47:40<11:59:37, 1.28s/step] Training: 52%|█████▏ | 36153/70000 [12:47:42<11:44:48, 1.25s/step] Training: 52%|█████▏ | 36154/70000 [12:47:43<12:00:14, 1.28s/step] Training: 52%|█████▏ | 36155/70000 [12:47:44<12:07:57, 1.29s/step] Training: 52%|█████▏ | 36156/70000 [12:47:45<11:50:25, 1.26s/step] Training: 52%|█████▏ | 36157/70000 [12:47:47<12:01:02, 1.28s/step] Training: 52%|█████▏ | 36158/70000 [12:47:48<11:46:12, 1.25s/step] Training: 52%|█████▏ | 36159/70000 [12:47:49<11:46:02, 1.25s/step] Training: 52%|█████▏ | 36160/70000 [12:47:50<11:56:35, 1.27s/step] Training: 52%|█████▏ | 36161/70000 [12:47:52<11:42:58, 1.25s/step] Training: 52%|█████▏ | 36162/70000 [12:47:53<11:46:10, 1.25s/step] Training: 52%|█████▏ | 36163/70000 [12:47:54<12:00:07, 1.28s/step] Training: 52%|█████▏ | 36164/70000 [12:47:55<11:45:20, 1.25s/step] Training: 52%|█████▏ | 36165/70000 [12:47:57<11:58:16, 1.27s/step] Training: 52%|█████▏ | 36166/70000 [12:47:58<11:44:28, 1.25s/step] Training: 52%|█████▏ | 36167/70000 [12:47:59<11:34:10, 1.23s/step] Training: 52%|█████▏ | 36168/70000 [12:48:01<12:05:28, 1.29s/step] Training: 52%|█████▏ | 36169/70000 [12:48:02<11:50:00, 1.26s/step] Training: 52%|█████▏ | 36170/70000 [12:48:03<12:03:52, 1.28s/step] Training: 52%|█████▏ | 36171/70000 [12:48:04<12:15:08, 1.30s/step] Training: 52%|█████▏ | 36172/70000 [12:48:06<11:55:21, 1.27s/step] Training: 52%|█████▏ | 36173/70000 [12:48:07<11:53:14, 1.27s/step] Training: 52%|█████▏ | 36174/70000 [12:48:08<11:40:34, 1.24s/step] Training: 52%|█████▏ | 36175/70000 [12:48:09<11:32:01, 1.23s/step] Training: 52%|█████▏ | 36176/70000 [12:48:11<12:08:41, 1.29s/step] Training: 52%|█████▏ | 36177/70000 [12:48:12<11:52:56, 1.26s/step] Training: 52%|█████▏ | 36178/70000 [12:48:13<12:04:05, 1.28s/step] Training: 52%|█████▏ | 36179/70000 [12:48:14<11:52:10, 1.26s/step] Training: 52%|█████▏ | 36180/70000 [12:48:16<11:40:45, 1.24s/step] Training: 52%|█████▏ | 36181/70000 [12:48:17<11:34:11, 1.23s/step] Training: 52%|█████▏ | 36182/70000 [12:48:18<11:27:26, 1.22s/step] Training: 52%|█████▏ | 36183/70000 [12:48:19<11:22:45, 1.21s/step] Training: 52%|█████▏ | 36184/70000 [12:48:21<11:46:24, 1.25s/step] Training: 52%|█████▏ | 36185/70000 [12:48:22<11:33:52, 1.23s/step] Training: 52%|█████▏ | 36186/70000 [12:48:23<12:11:05, 1.30s/step] Training: 52%|█████▏ | 36187/70000 [12:48:25<12:19:14, 1.31s/step] Training: 52%|█████▏ | 36188/70000 [12:48:26<11:58:29, 1.27s/step] Training: 52%|█████▏ | 36189/70000 [12:48:27<12:08:25, 1.29s/step] Training: 52%|█████▏ | 36190/70000 [12:48:28<11:50:57, 1.26s/step] Training: 52%|█████▏ | 36191/70000 [12:48:29<11:38:44, 1.24s/step] Training: 52%|█████▏ | 36192/70000 [12:48:31<11:52:07, 1.26s/step] Training: 52%|█████▏ | 36193/70000 [12:48:32<12:06:04, 1.29s/step] Training: 52%|█████▏ | 36194/70000 [12:48:33<12:02:53, 1.28s/step] Training: 52%|█████▏ | 36195/70000 [12:48:35<12:10:36, 1.30s/step] Training: 52%|█████▏ | 36196/70000 [12:48:36<11:52:37, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=72825 Training: 52%|█████▏ | 36197/70000 [12:48:37<12:02:33, 1.28s/step] Training: 52%|█████▏ | 36198/70000 [12:48:38<11:47:03, 1.26s/step] Training: 52%|█████▏ | 36199/70000 [12:48:40<11:35:46, 1.24s/step] Training: 52%|█████▏ | 36200/70000 [12:48:41<11:51:00, 1.26s/step]INFO 2026-03-13 08:58:33 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.68 loss:0.016 grdn:2.986 lr:1.2e-05 updt_s:1.244 data_s:0.019 Training: 52%|█████▏ | 36201/70000 [12:48:42<12:07:42, 1.29s/step] Training: 52%|█████▏ | 36202/70000 [12:48:44<12:12:55, 1.30s/step] Training: 52%|█████▏ | 36203/70000 [12:48:45<12:16:14, 1.31s/step] Training: 52%|█████▏ | 36204/70000 [12:48:46<11:56:29, 1.27s/step] Training: 52%|█████▏ | 36205/70000 [12:48:47<11:48:12, 1.26s/step] Training: 52%|█████▏ | 36206/70000 [12:48:49<11:36:48, 1.24s/step] Training: 52%|█████▏ | 36207/70000 [12:48:50<11:28:56, 1.22s/step] Training: 52%|█████▏ | 36208/70000 [12:48:51<11:48:00, 1.26s/step] Training: 52%|█████▏ | 36209/70000 [12:48:52<11:36:29, 1.24s/step] Training: 52%|█████▏ | 36210/70000 [12:48:54<12:34:03, 1.34s/step] Training: 52%|█████▏ | 36211/70000 [12:48:55<12:13:57, 1.30s/step] Training: 52%|█████▏ | 36212/70000 [12:48:56<11:54:21, 1.27s/step] Training: 52%|█████▏ | 36213/70000 [12:48:57<11:44:30, 1.25s/step] Training: 52%|█████▏ | 36214/70000 [12:48:59<11:34:46, 1.23s/step] Training: 52%|█████▏ | 36215/70000 [12:49:00<11:27:09, 1.22s/step] Training: 52%|█████▏ | 36216/70000 [12:49:01<11:44:14, 1.25s/step] Training: 52%|█████▏ | 36217/70000 [12:49:02<11:41:09, 1.25s/step] Training: 52%|█████▏ | 36218/70000 [12:49:04<11:59:32, 1.28s/step] Training: 52%|█████▏ | 36219/70000 [12:49:05<12:09:51, 1.30s/step] Training: 52%|█████▏ | 36220/70000 [12:49:06<11:51:36, 1.26s/step] Training: 52%|█████▏ | 36221/70000 [12:49:08<12:02:44, 1.28s/step] Training: 52%|█████▏ | 36222/70000 [12:49:09<11:47:22, 1.26s/step] Training: 52%|█████▏ | 36223/70000 [12:49:10<11:35:47, 1.24s/step] Training: 52%|█████▏ | 36224/70000 [12:49:11<11:36:11, 1.24s/step] Training: 52%|█████▏ | 36225/70000 [12:49:13<11:52:24, 1.27s/step] Training: 52%|█████▏ | 36226/70000 [12:49:14<11:48:24, 1.26s/step] Training: 52%|█████▏ | 36227/70000 [12:49:15<12:01:21, 1.28s/step] Training: 52%|█████▏ | 36228/70000 [12:49:16<11:46:02, 1.25s/step] Training: 52%|█████▏ | 36229/70000 [12:49:18<11:57:24, 1.27s/step] Training: 52%|█████▏ | 36230/70000 [12:49:19<11:44:00, 1.25s/step] Training: 52%|█████▏ | 36231/70000 [12:49:20<11:33:52, 1.23s/step] Training: 52%|█████▏ | 36232/70000 [12:49:21<11:28:53, 1.22s/step] Training: 52%|█████▏ | 36233/70000 [12:49:22<11:22:49, 1.21s/step] Training: 52%|█████▏ | 36234/70000 [12:49:24<12:05:44, 1.29s/step] Training: 52%|█████▏ | 36235/70000 [12:49:25<12:13:13, 1.30s/step] Training: 52%|█████▏ | 36236/70000 [12:49:26<11:54:02, 1.27s/step] Training: 52%|█████▏ | 36237/70000 [12:49:28<11:48:49, 1.26s/step] Training: 52%|█████▏ | 36238/70000 [12:49:29<11:36:42, 1.24s/step] Training: 52%|█████▏ | 36239/70000 [12:49:30<11:28:44, 1.22s/step] Training: 52%|█████▏ | 36240/70000 [12:49:31<11:48:34, 1.26s/step] Training: 52%|█████▏ | 36241/70000 [12:49:33<11:36:37, 1.24s/step] Training: 52%|█████▏ | 36242/70000 [12:49:34<12:06:31, 1.29s/step] Training: 52%|█████▏ | 36243/70000 [12:49:35<11:53:23, 1.27s/step] Training: 52%|█████▏ | 36244/70000 [12:49:36<11:40:09, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=38810 Training: 52%|█████▏ | 36245/70000 [12:49:38<11:34:03, 1.23s/step] Training: 52%|█████▏ | 36246/70000 [12:49:39<11:27:04, 1.22s/step] Training: 52%|█████▏ | 36247/70000 [12:49:40<11:22:04, 1.21s/step] Training: 52%|█████▏ | 36248/70000 [12:49:41<11:43:12, 1.25s/step] Training: 52%|█████▏ | 36249/70000 [12:49:43<11:32:36, 1.23s/step] Training: 52%|█████▏ | 36250/70000 [12:49:44<11:55:21, 1.27s/step] Training: 52%|█████▏ | 36251/70000 [12:49:45<12:24:35, 1.32s/step] Training: 52%|█████▏ | 36252/70000 [12:49:47<12:02:15, 1.28s/step] Training: 52%|█████▏ | 36253/70000 [12:49:48<12:10:11, 1.30s/step] Training: 52%|█████▏ | 36254/70000 [12:49:49<11:51:47, 1.27s/step] Training: 52%|█████▏ | 36255/70000 [12:49:50<11:38:45, 1.24s/step] Training: 52%|█████▏ | 36256/70000 [12:49:51<11:37:56, 1.24s/step] Training: 52%|█████▏ | 36257/70000 [12:49:53<11:50:43, 1.26s/step] Training: 52%|█████▏ | 36258/70000 [12:49:54<12:09:57, 1.30s/step] Training: 52%|█████▏ | 36259/70000 [12:49:56<12:16:00, 1.31s/step] Training: 52%|█████▏ | 36260/70000 [12:49:57<11:55:41, 1.27s/step] Training: 52%|█████▏ | 36261/70000 [12:49:58<12:04:17, 1.29s/step] Training: 52%|█████▏ | 36262/70000 [12:49:59<11:47:40, 1.26s/step] Training: 52%|█████▏ | 36263/70000 [12:50:00<11:36:50, 1.24s/step] Training: 52%|█████▏ | 36264/70000 [12:50:02<11:33:19, 1.23s/step] Training: 52%|█████▏ | 36265/70000 [12:50:03<11:26:14, 1.22s/step] Training: 52%|█████▏ | 36266/70000 [12:50:04<11:45:38, 1.26s/step] Training: 52%|█████▏ | 36267/70000 [12:50:06<12:27:21, 1.33s/step] Training: 52%|█████▏ | 36268/70000 [12:50:07<12:03:15, 1.29s/step] Training: 52%|█████▏ | 36269/70000 [12:50:08<11:52:32, 1.27s/step] Training: 52%|█████▏ | 36270/70000 [12:50:09<11:40:56, 1.25s/step] Training: 52%|█████▏ | 36271/70000 [12:50:10<11:32:22, 1.23s/step] Training: 52%|█████▏ | 36272/70000 [12:50:12<11:56:05, 1.27s/step] Training: 52%|█████▏ | 36273/70000 [12:50:13<11:45:18, 1.25s/step] Training: 52%|█████▏ | 36274/70000 [12:50:14<11:58:42, 1.28s/step] Training: 52%|█████▏ | 36275/70000 [12:50:16<12:39:07, 1.35s/step] Training: 52%|█████▏ | 36276/70000 [12:50:17<12:10:53, 1.30s/step] Training: 52%|█████▏ | 36277/70000 [12:50:18<11:55:38, 1.27s/step] Training: 52%|█████▏ | 36278/70000 [12:50:19<11:42:33, 1.25s/step] Training: 52%|█████▏ | 36279/70000 [12:50:21<11:32:12, 1.23s/step] Training: 52%|█████▏ | 36280/70000 [12:50:22<11:46:28, 1.26s/step] Training: 52%|█████▏ | 36281/70000 [12:50:23<11:34:37, 1.24s/step] Training: 52%|█████▏ | 36282/70000 [12:50:25<12:01:56, 1.28s/step] Training: 52%|█████▏ | 36283/70000 [12:50:26<12:08:37, 1.30s/step] Training: 52%|█████▏ | 36284/70000 [12:50:27<11:50:39, 1.26s/step] Training: 52%|█████▏ | 36285/70000 [12:50:28<12:01:25, 1.28s/step] Training: 52%|█████▏ | 36286/70000 [12:50:30<11:45:27, 1.26s/step] Training: 52%|█████▏ | 36287/70000 [12:50:31<11:34:20, 1.24s/step] Training: 52%|█████▏ | 36288/70000 [12:50:32<11:55:22, 1.27s/step] Training: 52%|█████▏ | 36289/70000 [12:50:33<11:42:06, 1.25s/step] Training: 52%|█████▏ | 36290/70000 [12:50:35<11:45:32, 1.26s/step] Training: 52%|█████▏ | 36291/70000 [12:50:36<12:12:18, 1.30s/step] Training: 52%|█████▏ | 36292/70000 [12:50:37<11:53:58, 1.27s/step] Training: 52%|█████▏ | 36293/70000 [12:50:39<12:05:07, 1.29s/step] Training: 52%|█████▏ | 36294/70000 [12:50:40<11:48:20, 1.26s/step] Training: 52%|█████▏ | 36295/70000 [12:50:41<11:37:07, 1.24s/step] Training: 52%|█████▏ | 36296/70000 [12:50:42<11:51:17, 1.27s/step] Training: 52%|█████▏ | 36297/70000 [12:50:43<11:38:07, 1.24s/step] Training: 52%|█████▏ | 36298/70000 [12:50:45<11:52:47, 1.27s/step] Training: 52%|█████▏ | 36299/70000 [12:50:46<12:03:30, 1.29s/step] Training: 52%|█████▏ | 36300/70000 [12:50:47<11:47:23, 1.26s/step]INFO 2026-03-13 09:00:39 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.77 loss:0.016 grdn:2.195 lr:1.2e-05 updt_s:1.242 data_s:0.019 Training: 52%|█████▏ | 36301/70000 [12:50:49<11:42:39, 1.25s/step] Training: 52%|█████▏ | 36302/70000 [12:50:50<11:31:52, 1.23s/step] Training: 52%|█████▏ | 36303/70000 [12:50:51<11:24:22, 1.22s/step] Training: 52%|█████▏ | 36304/70000 [12:50:52<11:26:29, 1.22s/step] Training: 52%|█████▏ | 36305/70000 [12:50:53<11:40:11, 1.25s/step] Training: 52%|█████▏ | 36306/70000 [12:50:55<11:55:38, 1.27s/step] Training: 52%|█████▏ | 36307/70000 [12:50:56<11:44:53, 1.26s/step] Training: 52%|█████▏ | 36308/70000 [12:50:57<12:00:06, 1.28s/step] Training: 52%|█████▏ | 36309/70000 [12:50:59<11:46:35, 1.26s/step] Training: 52%|█████▏ | 36310/70000 [12:51:00<11:35:01, 1.24s/step] Training: 52%|█████▏ | 36311/70000 [12:51:01<11:26:33, 1.22s/step] Training: 52%|█████▏ | 36312/70000 [12:51:02<11:43:56, 1.25s/step] Training: 52%|█████▏ | 36313/70000 [12:51:03<11:34:04, 1.24s/step] Training: 52%|█████▏ | 36314/70000 [12:51:05<11:52:09, 1.27s/step] Training: 52%|█████▏ | 36315/70000 [12:51:06<12:03:40, 1.29s/step] Training: 52%|█████▏ | 36316/70000 [12:51:07<11:58:13, 1.28s/step] Training: 52%|█████▏ | 36317/70000 [12:51:09<12:08:17, 1.30s/step] Training: 52%|█████▏ | 36318/70000 [12:51:10<11:50:14, 1.27s/step] Training: 52%|█████▏ | 36319/70000 [12:51:11<11:38:17, 1.24s/step] Training: 52%|█████▏ | 36320/70000 [12:51:12<11:54:37, 1.27s/step] Training: 52%|█████▏ | 36321/70000 [12:51:14<11:40:40, 1.25s/step] Training: 52%|█████▏ | 36322/70000 [12:51:15<11:44:23, 1.25s/step] Training: 52%|█████▏ | 36323/70000 [12:51:16<11:58:18, 1.28s/step] Training: 52%|█████▏ | 36324/70000 [12:51:17<11:42:27, 1.25s/step] Training: 52%|█████▏ | 36325/70000 [12:51:19<12:09:50, 1.30s/step] Training: 52%|█████▏ | 36326/70000 [12:51:20<11:51:33, 1.27s/step] Training: 52%|█████▏ | 36327/70000 [12:51:21<11:38:10, 1.24s/step] Training: 52%|█████▏ | 36328/70000 [12:51:23<11:52:47, 1.27s/step] Training: 52%|█████▏ | 36329/70000 [12:51:24<11:40:07, 1.25s/step] Training: 52%|█████▏ | 36330/70000 [12:51:25<12:00:05, 1.28s/step] Training: 52%|█████▏ | 36331/70000 [12:51:26<11:51:01, 1.27s/step] Training: 52%|█████▏ | 36332/70000 [12:51:28<12:04:21, 1.29s/step] Training: 52%|█████▏ | 36333/70000 [12:51:29<11:52:14, 1.27s/step] Training: 52%|█████▏ | 36334/70000 [12:51:30<11:38:17, 1.24s/step] Training: 52%|█████▏ | 36335/70000 [12:51:31<11:28:45, 1.23s/step] Training: 52%|█████▏ | 36336/70000 [12:51:33<11:28:34, 1.23s/step] Training: 52%|█████▏ | 36337/70000 [12:51:34<11:41:09, 1.25s/step] Training: 52%|█████▏ | 36338/70000 [12:51:35<11:55:49, 1.28s/step] Training: 52%|█████▏ | 36339/70000 [12:51:36<12:03:10, 1.29s/step] Training: 52%|█████▏ | 36340/70000 [12:51:38<11:46:26, 1.26s/step] Training: 52%|█████▏ | 36341/70000 [12:51:39<11:59:54, 1.28s/step] Training: 52%|█████▏ | 36342/70000 [12:51:40<11:42:18, 1.25s/step] Training: 52%|█████▏ | 36343/70000 [12:51:41<11:31:58, 1.23s/step] Training: 52%|█████▏ | 36344/70000 [12:51:43<11:26:32, 1.22s/step] Training: 52%|█████▏ | 36345/70000 [12:51:44<11:20:32, 1.21s/step] Training: 52%|█████▏ | 36346/70000 [12:51:45<11:46:39, 1.26s/step] Training: 52%|█████▏ | 36347/70000 [12:51:47<12:08:27, 1.30s/step] Training: 52%|█████▏ | 36348/70000 [12:51:48<11:49:42, 1.27s/step] Training: 52%|█████▏ | 36349/70000 [12:51:49<12:15:40, 1.31s/step] Training: 52%|█████▏ | 36350/70000 [12:51:50<11:56:07, 1.28s/step] Training: 52%|█████▏ | 36351/70000 [12:51:52<11:41:07, 1.25s/step] Training: 52%|█████▏ | 36352/70000 [12:51:53<12:00:15, 1.28s/step] Training: 52%|█████▏ | 36353/70000 [12:51:54<11:45:12, 1.26s/step] Training: 52%|█████▏ | 36354/70000 [12:51:55<11:35:39, 1.24s/step] Training: 52%|█████▏ | 36355/70000 [12:51:57<11:51:14, 1.27s/step] Training: 52%|█████▏ | 36356/70000 [12:51:58<11:37:54, 1.24s/step] Training: 52%|█████▏ | 36357/70000 [12:51:59<11:52:16, 1.27s/step] Training: 52%|█████▏ | 36358/70000 [12:52:00<11:38:31, 1.25s/step] Training: 52%|█████▏ | 36359/70000 [12:52:02<11:29:43, 1.23s/step] Training: 52%|█████▏ | 36360/70000 [12:52:03<11:44:37, 1.26s/step] Training: 52%|█████▏ | 36361/70000 [12:52:04<11:33:12, 1.24s/step] Training: 52%|█████▏ | 36362/70000 [12:52:05<11:48:49, 1.26s/step] Training: 52%|█████▏ | 36363/70000 [12:52:07<12:05:38, 1.29s/step] Training: 52%|█████▏ | 36364/70000 [12:52:08<11:47:51, 1.26s/step] Training: 52%|█████▏ | 36365/70000 [12:52:09<11:43:54, 1.26s/step] Training: 52%|█████▏ | 36366/70000 [12:52:10<11:32:41, 1.24s/step] Training: 52%|█████▏ | 36367/70000 [12:52:12<11:25:05, 1.22s/step] Training: 52%|█████▏ | 36368/70000 [12:52:13<11:50:45, 1.27s/step] Training: 52%|█████▏ | 36369/70000 [12:52:14<11:37:51, 1.25s/step] Training: 52%|█████▏ | 36370/70000 [12:52:15<11:52:13, 1.27s/step] Training: 52%|█████▏ | 36371/70000 [12:52:17<12:02:18, 1.29s/step] Training: 52%|█████▏ | 36372/70000 [12:52:18<11:45:45, 1.26s/step] Training: 52%|█████▏ | 36373/70000 [12:52:19<11:44:19, 1.26s/step] Training: 52%|█████▏ | 36374/70000 [12:52:20<11:31:26, 1.23s/step] Training: 52%|█████▏ | 36375/70000 [12:52:22<11:24:10, 1.22s/step] Training: 52%|█████▏ | 36376/70000 [12:52:23<11:42:28, 1.25s/step] Training: 52%|█████▏ | 36377/70000 [12:52:24<11:32:22, 1.24s/step] Training: 52%|█████▏ | 36378/70000 [12:52:25<11:55:22, 1.28s/step] Training: 52%|█████▏ | 36379/70000 [12:52:27<12:10:16, 1.30s/step] Training: 52%|█████▏ | 36380/70000 [12:52:28<11:51:53, 1.27s/step] Training: 52%|█████▏ | 36381/70000 [12:52:29<12:06:34, 1.30s/step] Training: 52%|█████▏ | 36382/70000 [12:52:31<11:46:21, 1.26s/step] Training: 52%|█████▏ | 36383/70000 [12:52:32<11:34:45, 1.24s/step] Training: 52%|█████▏ | 36384/70000 [12:52:33<11:30:53, 1.23s/step] Training: 52%|█████▏ | 36385/70000 [12:52:34<11:43:53, 1.26s/step] Training: 52%|█████▏ | 36386/70000 [12:52:36<11:39:22, 1.25s/step] Training: 52%|█████▏ | 36387/70000 [12:52:37<11:53:34, 1.27s/step] Training: 52%|█████▏ | 36388/70000 [12:52:38<11:41:00, 1.25s/step] Training: 52%|█████▏ | 36389/70000 [12:52:39<11:58:33, 1.28s/step] Training: 52%|█████▏ | 36390/70000 [12:52:41<11:41:50, 1.25s/step] Training: 52%|█████▏ | 36391/70000 [12:52:42<11:29:38, 1.23s/step] Training: 52%|█████▏ | 36392/70000 [12:52:43<11:45:28, 1.26s/step] Training: 52%|█████▏ | 36393/70000 [12:52:44<11:33:28, 1.24s/step] Training: 52%|█████▏ | 36394/70000 [12:52:46<11:48:29, 1.26s/step] Training: 52%|█████▏ | 36395/70000 [12:52:47<12:01:41, 1.29s/step] Training: 52%|█████▏ | 36396/70000 [12:52:48<11:44:53, 1.26s/step] Training: 52%|█████▏ | 36397/70000 [12:52:49<11:40:19, 1.25s/step] Training: 52%|█████▏ | 36398/70000 [12:52:51<11:55:40, 1.28s/step] Training: 52%|█████▏ | 36399/70000 [12:52:52<11:38:55, 1.25s/step] Training: 52%|█████▏ | 36400/70000 [12:52:53<11:56:04, 1.28s/step]INFO 2026-03-13 09:02:45 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.85 loss:0.016 grdn:2.093 lr:1.2e-05 updt_s:1.238 data_s:0.019 Training: 52%|█████▏ | 36401/70000 [12:52:54<11:40:49, 1.25s/step] Training: 52%|█████▏ | 36402/70000 [12:52:56<11:56:02, 1.28s/step] Training: 52%|█████▏ | 36403/70000 [12:52:57<12:04:52, 1.29s/step] Training: 52%|█████▏ | 36404/70000 [12:52:58<11:46:46, 1.26s/step] Training: 52%|█████▏ | 36405/70000 [12:53:00<11:39:20, 1.25s/step] Training: 52%|█████▏ | 36406/70000 [12:53:01<12:22:58, 1.33s/step] Training: 52%|█████▏ | 36407/70000 [12:53:02<11:59:03, 1.28s/step] Training: 52%|█████▏ | 36408/70000 [12:53:04<12:06:38, 1.30s/step] Training: 52%|█████▏ | 36409/70000 [12:53:05<11:48:19, 1.27s/step] Training: 52%|█████▏ | 36410/70000 [12:53:06<12:08:31, 1.30s/step] Training: 52%|█████▏ | 36411/70000 [12:53:07<11:56:45, 1.28s/step] Training: 52%|█████▏ | 36412/70000 [12:53:09<12:02:45, 1.29s/step] Training: 52%|█████▏ | 36413/70000 [12:53:10<12:07:57, 1.30s/step] Training: 52%|█████▏ | 36414/70000 [12:53:11<11:55:23, 1.28s/step] Training: 52%|█████▏ | 36415/70000 [12:53:12<11:41:16, 1.25s/step] Training: 52%|█████▏ | 36416/70000 [12:53:14<11:36:46, 1.24s/step] Training: 52%|█████▏ | 36417/70000 [12:53:15<11:46:23, 1.26s/step] Training: 52%|█████▏ | 36418/70000 [12:53:16<11:38:38, 1.25s/step] Training: 52%|█████▏ | 36419/70000 [12:53:17<11:33:25, 1.24s/step] Training: 52%|█████▏ | 36420/70000 [12:53:19<11:25:11, 1.22s/step] Training: 52%|█████▏ | 36421/70000 [12:53:20<11:43:42, 1.26s/step] Training: 52%|█████▏ | 36422/70000 [12:53:21<11:43:07, 1.26s/step] Training: 52%|█████▏ | 36423/70000 [12:53:22<11:30:30, 1.23s/step] Training: 52%|█████▏ | 36424/70000 [12:53:24<11:44:52, 1.26s/step] Training: 52%|█████▏ | 36425/70000 [12:53:25<11:32:38, 1.24s/step] Training: 52%|█████▏ | 36426/70000 [12:53:26<11:47:43, 1.26s/step] Training: 52%|█████▏ | 36427/70000 [12:53:28<12:04:33, 1.29s/step] Training: 52%|█████▏ | 36428/70000 [12:53:29<11:46:19, 1.26s/step] Training: 52%|█████▏ | 36429/70000 [12:53:30<11:41:53, 1.25s/step] Training: 52%|█████▏ | 36430/70000 [12:53:31<11:30:44, 1.23s/step] Training: 52%|█████▏ | 36431/70000 [12:53:32<11:48:53, 1.27s/step] Training: 52%|█████▏ | 36432/70000 [12:53:34<12:00:45, 1.29s/step] Training: 52%|█████▏ | 36433/70000 [12:53:35<11:44:14, 1.26s/step] Training: 52%|█████▏ | 36434/70000 [12:53:36<11:56:36, 1.28s/step] Training: 52%|█████▏ | 36435/70000 [12:53:38<12:04:32, 1.30s/step] Training: 52%|█████▏ | 36436/70000 [12:53:39<11:47:00, 1.26s/step] Training: 52%|█████▏ | 36437/70000 [12:53:40<11:38:37, 1.25s/step] Training: 52%|█████▏ | 36438/70000 [12:53:41<11:28:29, 1.23s/step] Training: 52%|█████▏ | 36439/70000 [12:53:43<11:47:06, 1.26s/step] Training: 52%|█████▏ | 36440/70000 [12:53:44<11:56:57, 1.28s/step] Training: 52%|█████▏ | 36441/70000 [12:53:45<11:41:12, 1.25s/step] Training: 52%|█████▏ | 36442/70000 [12:53:46<12:00:09, 1.29s/step] Training: 52%|█████▏ | 36443/70000 [12:53:48<12:10:49, 1.31s/step] Training: 52%|█████▏ | 36444/70000 [12:53:49<11:51:14, 1.27s/step] Training: 52%|█████▏ | 36445/70000 [12:53:50<11:59:49, 1.29s/step] Training: 52%|█████▏ | 36446/70000 [12:53:52<11:43:47, 1.26s/step] Training: 52%|█████▏ | 36447/70000 [12:53:53<11:52:14, 1.27s/step] Training: 52%|█████▏ | 36448/70000 [12:53:54<11:44:05, 1.26s/step] Training: 52%|█████▏ | 36449/70000 [12:53:55<11:54:20, 1.28s/step] Training: 52%|█████▏ | 36450/70000 [12:53:57<11:44:02, 1.26s/step] Training: 52%|█████▏ | 36451/70000 [12:53:58<11:58:32, 1.29s/step] Training: 52%|█████▏ | 36452/70000 [12:53:59<11:42:28, 1.26s/step] Training: 52%|█████▏ | 36453/70000 [12:54:00<11:55:40, 1.28s/step] Training: 52%|█████▏ | 36454/70000 [12:54:02<11:40:43, 1.25s/step] Training: 52%|█████▏ | 36455/70000 [12:54:03<11:58:49, 1.29s/step] Training: 52%|█████▏ | 36456/70000 [12:54:04<12:04:06, 1.30s/step] Training: 52%|█████▏ | 36457/70000 [12:54:06<11:46:23, 1.26s/step] Training: 52%|█████▏ | 36458/70000 [12:54:07<11:56:25, 1.28s/step] Training: 52%|█████▏ | 36459/70000 [12:54:08<12:10:10, 1.31s/step] Training: 52%|█████▏ | 36460/70000 [12:54:09<11:50:55, 1.27s/step] Training: 52%|█████▏ | 36461/70000 [12:54:11<11:45:04, 1.26s/step] Training: 52%|█████▏ | 36462/70000 [12:54:12<11:31:24, 1.24s/step] Training: 52%|█████▏ | 36463/70000 [12:54:13<11:24:20, 1.22s/step] Training: 52%|█████▏ | 36464/70000 [12:54:14<11:56:06, 1.28s/step] Training: 52%|█████▏ | 36465/70000 [12:54:16<11:40:40, 1.25s/step] Training: 52%|█████▏ | 36466/70000 [12:54:17<11:53:22, 1.28s/step] Training: 52%|█████▏ | 36467/70000 [12:54:18<12:01:36, 1.29s/step] Training: 52%|█████▏ | 36468/70000 [12:54:19<11:44:53, 1.26s/step] Training: 52%|█████▏ | 36469/70000 [12:54:21<11:34:56, 1.24s/step] Training: 52%|█████▏ | 36470/70000 [12:54:22<11:27:28, 1.23s/step] Training: 52%|█████▏ | 36471/70000 [12:54:23<11:20:43, 1.22s/step] Training: 52%|█████▏ | 36472/70000 [12:54:24<11:54:51, 1.28s/step] Training: 52%|█████▏ | 36473/70000 [12:54:26<11:39:30, 1.25s/step] Training: 52%|█████▏ | 36474/70000 [12:54:27<11:58:07, 1.29s/step] Training: 52%|█████▏ | 36475/70000 [12:54:28<12:11:12, 1.31s/step] Training: 52%|█████▏ | 36476/70000 [12:54:30<11:51:02, 1.27s/step] Training: 52%|█████▏ | 36477/70000 [12:54:31<11:59:48, 1.29s/step] Training: 52%|█████▏ | 36478/70000 [12:54:32<11:43:17, 1.26s/step] Training: 52%|█████▏ | 36479/70000 [12:54:33<11:31:30, 1.24s/step] Training: 52%|█████▏ | 36480/70000 [12:54:35<11:33:21, 1.24s/step] Training: 52%|█████▏ | 36481/70000 [12:54:36<11:42:18, 1.26s/step] Training: 52%|█████▏ | 36482/70000 [12:54:37<11:36:28, 1.25s/step] Training: 52%|█████▏ | 36483/70000 [12:54:38<11:50:48, 1.27s/step] Training: 52%|█████▏ | 36484/70000 [12:54:40<11:36:39, 1.25s/step] Training: 52%|█████▏ | 36485/70000 [12:54:41<11:49:41, 1.27s/step] Training: 52%|█████▏ | 36486/70000 [12:54:42<11:36:14, 1.25s/step] Training: 52%|█████▏ | 36487/70000 [12:54:43<11:26:33, 1.23s/step] Training: 52%|█████▏ | 36488/70000 [12:54:45<11:28:21, 1.23s/step] Training: 52%|█████▏ | 36489/70000 [12:54:46<11:21:02, 1.22s/step] Training: 52%|█████▏ | 36490/70000 [12:54:47<11:41:11, 1.26s/step] Training: 52%|█████▏ | 36491/70000 [12:54:48<11:59:57, 1.29s/step] Training: 52%|█████▏ | 36492/70000 [12:54:50<11:42:51, 1.26s/step] Training: 52%|█████▏ | 36493/70000 [12:54:51<11:40:28, 1.25s/step] Training: 52%|█████▏ | 36494/70000 [12:54:52<11:29:23, 1.23s/step] Training: 52%|█████▏ | 36495/70000 [12:54:53<11:21:50, 1.22s/step] Training: 52%|█████▏ | 36496/70000 [12:54:55<11:44:13, 1.26s/step] Training: 52%|█████▏ | 36497/70000 [12:54:56<11:36:16, 1.25s/step] Training: 52%|█████▏ | 36498/70000 [12:54:57<11:49:33, 1.27s/step] Training: 52%|█████▏ | 36499/70000 [12:54:58<12:00:05, 1.29s/step] Training: 52%|█████▏ | 36500/70000 [12:55:00<11:42:34, 1.26s/step]INFO 2026-03-13 09:04:52 ot_train.py:435 step:36K smpl:2M ep:8K epch:30.94 loss:0.016 grdn:2.859 lr:1.2e-05 updt_s:1.243 data_s:0.019 Training: 52%|█████▏ | 36501/70000 [12:55:01<11:33:54, 1.24s/step] Training: 52%|█████▏ | 36502/70000 [12:55:02<11:25:16, 1.23s/step] Training: 52%|█████▏ | 36503/70000 [12:55:03<11:18:53, 1.22s/step] Training: 52%|█████▏ | 36504/70000 [12:55:05<11:36:34, 1.25s/step] Training: 52%|█████▏ | 36505/70000 [12:55:06<11:55:08, 1.28s/step] Training: 52%|█████▏ | 36506/70000 [12:55:07<11:50:35, 1.27s/step] Training: 52%|█████▏ | 36507/70000 [12:55:09<12:20:57, 1.33s/step] Training: 52%|█████▏ | 36508/70000 [12:55:10<11:58:56, 1.29s/step] Training: 52%|█████▏ | 36509/70000 [12:55:11<12:05:05, 1.30s/step] Training: 52%|█████▏ | 36510/70000 [12:55:12<11:47:35, 1.27s/step] Training: 52%|█████▏ | 36511/70000 [12:55:14<11:34:46, 1.24s/step] Training: 52%|█████▏ | 36512/70000 [12:55:15<11:55:04, 1.28s/step] Training: 52%|█████▏ | 36513/70000 [12:55:16<11:52:20, 1.28s/step] Training: 52%|█████▏ | 36514/70000 [12:55:17<11:42:25, 1.26s/step] Training: 52%|█████▏ | 36515/70000 [12:55:19<12:09:19, 1.31s/step] Training: 52%|█████▏ | 36516/70000 [12:55:20<11:49:24, 1.27s/step] Training: 52%|█████▏ | 36517/70000 [12:55:21<11:59:44, 1.29s/step] Training: 52%|█████▏ | 36518/70000 [12:55:22<11:43:23, 1.26s/step] Training: 52%|█████▏ | 36519/70000 [12:55:24<11:31:29, 1.24s/step] Training: 52%|█████▏ | 36520/70000 [12:55:25<11:47:57, 1.27s/step] Training: 52%|█████▏ | 36521/70000 [12:55:26<11:33:10, 1.24s/step] Training: 52%|█████▏ | 36522/70000 [12:55:28<12:07:01, 1.30s/step] Training: 52%|█████▏ | 36523/70000 [12:55:29<12:28:34, 1.34s/step] Training: 52%|█████▏ | 36524/70000 [12:55:30<12:02:47, 1.30s/step] Training: 52%|█████▏ | 36525/70000 [12:55:32<11:53:32, 1.28s/step] Training: 52%|█████▏ | 36526/70000 [12:55:33<11:39:57, 1.25s/step] Training: 52%|█████▏ | 36527/70000 [12:55:34<11:31:06, 1.24s/step] Training: 52%|█████▏ | 36528/70000 [12:55:35<11:52:20, 1.28s/step] Training: 52%|█████▏ | 36529/70000 [12:55:37<12:05:52, 1.30s/step] Training: 52%|█████▏ | 36530/70000 [12:55:38<12:08:44, 1.31s/step] Training: 52%|█████▏ | 36531/70000 [12:55:39<12:13:38, 1.32s/step] Training: 52%|█████▏ | 36532/70000 [12:55:40<11:52:50, 1.28s/step] Training: 52%|█████▏ | 36533/70000 [12:55:42<11:41:48, 1.26s/step] Training: 52%|█████▏ | 36534/70000 [12:55:43<11:32:07, 1.24s/step] Training: 52%|█████▏ | 36535/70000 [12:55:44<11:23:03, 1.22s/step] Training: 52%|█████▏ | 36536/70000 [12:55:45<11:39:48, 1.25s/step] Training: 52%|█████▏ | 36537/70000 [12:55:47<11:29:04, 1.24s/step] Training: 52%|█████▏ | 36538/70000 [12:55:48<11:45:31, 1.27s/step] Training: 52%|█████▏ | 36539/70000 [12:55:49<12:01:24, 1.29s/step] Training: 52%|█████▏ | 36540/70000 [12:55:50<11:44:07, 1.26s/step] Training: 52%|█████▏ | 36541/70000 [12:55:52<11:57:16, 1.29s/step] Training: 52%|█████▏ | 36542/70000 [12:55:53<11:42:27, 1.26s/step] Training: 52%|█████▏ | 36543/70000 [12:55:54<11:30:21, 1.24s/step] Training: 52%|█████▏ | 36544/70000 [12:55:56<11:52:06, 1.28s/step] Training: 52%|█████▏ | 36545/70000 [12:55:57<11:37:23, 1.25s/step] Training: 52%|█████▏ | 36546/70000 [12:55:58<11:57:17, 1.29s/step] Training: 52%|█████▏ | 36547/70000 [12:55:59<12:03:25, 1.30s/step] Training: 52%|█████▏ | 36548/70000 [12:56:01<11:45:20, 1.27s/step] Training: 52%|█████▏ | 36549/70000 [12:56:02<11:55:59, 1.28s/step] Training: 52%|█████▏ | 36550/70000 [12:56:03<11:41:14, 1.26s/step] Training: 52%|█████▏ | 36551/70000 [12:56:04<11:29:53, 1.24s/step] Training: 52%|█████▏ | 36552/70000 [12:56:06<11:43:13, 1.26s/step] Training: 52%|█████▏ | 36553/70000 [12:56:07<11:31:31, 1.24s/step] Training: 52%|█████▏ | 36554/70000 [12:56:08<11:46:32, 1.27s/step] Training: 52%|█████▏ | 36555/70000 [12:56:10<12:01:48, 1.29s/step] Training: 52%|█████▏ | 36556/70000 [12:56:11<11:43:54, 1.26s/step] Training: 52%|█████▏ | 36557/70000 [12:56:12<11:40:05, 1.26s/step] Training: 52%|█████▏ | 36558/70000 [12:56:13<11:28:35, 1.24s/step] Training: 52%|█████▏ | 36559/70000 [12:56:14<11:20:51, 1.22s/step] Training: 52%|█████▏ | 36560/70000 [12:56:16<11:45:32, 1.27s/step] Training: 52%|█████▏ | 36561/70000 [12:56:17<11:32:43, 1.24s/step] Training: 52%|█████▏ | 36562/70000 [12:56:18<11:58:02, 1.29s/step] Training: 52%|█████▏ | 36563/70000 [12:56:20<12:11:47, 1.31s/step] Training: 52%|█████▏ | 36564/70000 [12:56:21<11:50:53, 1.28s/step] Training: 52%|█████▏ | 36565/70000 [12:56:22<11:41:32, 1.26s/step] Training: 52%|█████▏ | 36566/70000 [12:56:23<11:30:53, 1.24s/step] Training: 52%|█████▏ | 36567/70000 [12:56:24<11:22:41, 1.23s/step] Training: 52%|█████▏ | 36568/70000 [12:56:26<11:39:31, 1.26s/step] Training: 52%|█████▏ | 36569/70000 [12:56:27<11:28:30, 1.24s/step] Training: 52%|█████▏ | 36570/70000 [12:56:28<11:27:02, 1.23s/step] Training: 52%|█████▏ | 36571/70000 [12:56:30<12:03:25, 1.30s/step] Training: 52%|█████▏ | 36572/70000 [12:56:31<11:44:50, 1.27s/step] Training: 52%|█████▏ | 36573/70000 [12:56:32<11:55:36, 1.28s/step] Training: 52%|█████▏ | 36574/70000 [12:56:33<11:39:58, 1.26s/step] Training: 52%|█████▏ | 36575/70000 [12:56:35<11:28:19, 1.24s/step] Training: 52%|█████▏ | 36576/70000 [12:56:36<11:51:28, 1.28s/step] Training: 52%|█████▏ | 36577/70000 [12:56:37<11:36:16, 1.25s/step] Training: 52%|█████▏ | 36578/70000 [12:56:38<11:52:54, 1.28s/step] Training: 52%|█████▏ | 36579/70000 [12:56:40<12:00:11, 1.29s/step] Training: 52%|█████▏ | 36580/70000 [12:56:42<14:42:26, 1.58s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 52%|█████▏ | 36581/70000 [12:56:46<22:27:36, 2.42s/step] Training: 52%|█████▏ | 36582/70000 [12:56:48<19:02:37, 2.05s/step] Training: 52%|█████▏ | 36583/70000 [12:56:49<16:38:16, 1.79s/step] Training: 52%|█████▏ | 36584/70000 [12:56:50<15:29:11, 1.67s/step] Training: 52%|█████▏ | 36585/70000 [12:56:51<14:10:05, 1.53s/step] Training: 52%|█████▏ | 36586/70000 [12:56:53<13:51:47, 1.49s/step] Training: 52%|█████▏ | 36587/70000 [12:56:54<13:46:22, 1.48s/step] Training: 52%|█████▏ | 36588/70000 [12:56:55<12:56:58, 1.40s/step] Training: 52%|█████▏ | 36589/70000 [12:56:57<12:29:23, 1.35s/step] Training: 52%|█████▏ | 36590/70000 [12:56:58<12:02:59, 1.30s/step] Training: 52%|█████▏ | 36591/70000 [12:56:59<11:44:48, 1.27s/step] Training: 52%|█████▏ | 36592/70000 [12:57:00<12:04:39, 1.30s/step] Training: 52%|█████▏ | 36593/70000 [12:57:02<11:45:21, 1.27s/step] Training: 52%|█████▏ | 36594/70000 [12:57:03<11:56:01, 1.29s/step] Training: 52%|█████▏ | 36595/70000 [12:57:04<12:22:57, 1.33s/step] Training: 52%|█████▏ | 36596/70000 [12:57:06<11:59:04, 1.29s/step] Training: 52%|█████▏ | 36597/70000 [12:57:07<11:47:10, 1.27s/step] Training: 52%|█████▏ | 36598/70000 [12:57:08<11:34:15, 1.25s/step] Training: 52%|█████▏ | 36599/70000 [12:57:09<11:24:35, 1.23s/step] Training: 52%|█████▏ | 36600/70000 [12:57:11<11:40:08, 1.26s/step]INFO 2026-03-13 09:07:03 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.02 loss:0.016 grdn:1.948 lr:1.2e-05 updt_s:1.247 data_s:0.060 Training: 52%|█████▏ | 36601/70000 [12:57:12<11:29:15, 1.24s/step] Training: 52%|█████▏ | 36602/70000 [12:57:13<11:27:33, 1.24s/step] Training: 52%|█████▏ | 36603/70000 [12:57:14<12:03:02, 1.30s/step] Training: 52%|█████▏ | 36604/70000 [12:57:16<11:44:29, 1.27s/step] Training: 52%|█████▏ | 36605/70000 [12:57:17<11:55:44, 1.29s/step] Training: 52%|█████▏ | 36606/70000 [12:57:18<11:39:56, 1.26s/step] Training: 52%|█████▏ | 36607/70000 [12:57:19<11:28:31, 1.24s/step] Training: 52%|█████▏ | 36608/70000 [12:57:21<11:50:53, 1.28s/step] Training: 52%|█████▏ | 36609/70000 [12:57:22<11:36:29, 1.25s/step] Training: 52%|█████▏ | 36610/70000 [12:57:23<11:30:08, 1.24s/step] Training: 52%|█████▏ | 36611/70000 [12:57:24<11:49:19, 1.27s/step] Training: 52%|█████▏ | 36612/70000 [12:57:26<11:35:02, 1.25s/step] Training: 52%|█████▏ | 36613/70000 [12:57:27<11:49:03, 1.27s/step] Training: 52%|█████▏ | 36614/70000 [12:57:28<11:35:03, 1.25s/step] Training: 52%|█████▏ | 36615/70000 [12:57:29<11:24:52, 1.23s/step] Training: 52%|█████▏ | 36616/70000 [12:57:31<11:40:54, 1.26s/step] Training: 52%|█████▏ | 36617/70000 [12:57:32<11:29:28, 1.24s/step] Training: 52%|█████▏ | 36618/70000 [12:57:33<11:45:04, 1.27s/step] Training: 52%|█████▏ | 36619/70000 [12:57:35<12:07:32, 1.31s/step] Training: 52%|█████▏ | 36620/70000 [12:57:36<11:46:11, 1.27s/step] Training: 52%|█████▏ | 36621/70000 [12:57:37<11:40:31, 1.26s/step] Training: 52%|█████▏ | 36622/70000 [12:57:38<11:29:14, 1.24s/step] Training: 52%|█████▏ | 36623/70000 [12:57:39<11:20:31, 1.22s/step] Training: 52%|█████▏ | 36624/70000 [12:57:41<11:41:31, 1.26s/step] Training: 52%|█████▏ | 36625/70000 [12:57:42<11:29:24, 1.24s/step] Training: 52%|█████▏ | 36626/70000 [12:57:43<11:44:24, 1.27s/step] Training: 52%|█████▏ | 36627/70000 [12:57:45<12:01:29, 1.30s/step] Training: 52%|█████▏ | 36628/70000 [12:57:46<11:44:05, 1.27s/step] Training: 52%|█████▏ | 36629/70000 [12:57:47<11:34:00, 1.25s/step] Training: 52%|█████▏ | 36630/70000 [12:57:48<11:25:00, 1.23s/step] Training: 52%|█████▏ | 36631/70000 [12:57:49<11:17:56, 1.22s/step] Training: 52%|█████▏ | 36632/70000 [12:57:51<11:36:11, 1.25s/step] Training: 52%|█████▏ | 36633/70000 [12:57:52<11:25:18, 1.23s/step] Training: 52%|█████▏ | 36634/70000 [12:57:53<11:23:59, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=50775 Training: 52%|█████▏ | 36635/70000 [12:57:54<11:40:40, 1.26s/step] Training: 52%|█████▏ | 36636/70000 [12:57:56<11:53:56, 1.28s/step] Training: 52%|█████▏ | 36637/70000 [12:57:57<12:00:32, 1.30s/step] Training: 52%|█████▏ | 36638/70000 [12:57:58<11:42:22, 1.26s/step] Training: 52%|█████▏ | 36639/70000 [12:58:00<11:29:40, 1.24s/step] Training: 52%|█████▏ | 36640/70000 [12:58:01<11:26:09, 1.23s/step] Training: 52%|█████▏ | 36641/70000 [12:58:02<11:39:08, 1.26s/step] Training: 52%|█████▏ | 36642/70000 [12:58:03<11:31:41, 1.24s/step] Training: 52%|█████▏ | 36643/70000 [12:58:05<11:46:55, 1.27s/step] Training: 52%|█████▏ | 36644/70000 [12:58:06<11:53:08, 1.28s/step] Training: 52%|█████▏ | 36645/70000 [12:58:07<12:00:52, 1.30s/step] Training: 52%|█████▏ | 36646/70000 [12:58:08<11:43:33, 1.27s/step] Training: 52%|█████▏ | 36647/70000 [12:58:10<11:30:57, 1.24s/step] Training: 52%|█████▏ | 36648/70000 [12:58:11<11:43:51, 1.27s/step] Training: 52%|█████▏ | 36649/70000 [12:58:12<11:31:19, 1.24s/step] Training: 52%|█████▏ | 36650/70000 [12:58:13<11:45:48, 1.27s/step] Training: 52%|█████▏ | 36651/70000 [12:58:15<12:02:07, 1.30s/step] Training: 52%|█████▏ | 36652/70000 [12:58:16<12:11:08, 1.32s/step] Training: 52%|█████▏ | 36653/70000 [12:58:17<11:54:37, 1.29s/step] Training: 52%|█████▏ | 36654/70000 [12:58:19<11:38:22, 1.26s/step] Training: 52%|█████▏ | 36655/70000 [12:58:20<11:27:10, 1.24s/step] Training: 52%|█████▏ | 36656/70000 [12:58:21<11:20:47, 1.23s/step] Training: 52%|█████▏ | 36657/70000 [12:58:22<11:36:03, 1.25s/step] Training: 52%|█████▏ | 36658/70000 [12:58:23<11:25:47, 1.23s/step] Training: 52%|█████▏ | 36659/70000 [12:58:25<11:55:36, 1.29s/step] Training: 52%|█████▏ | 36660/70000 [12:58:26<11:39:15, 1.26s/step] Training: 52%|█████▏ | 36661/70000 [12:58:27<11:55:02, 1.29s/step] Training: 52%|█████▏ | 36662/70000 [12:58:29<11:37:37, 1.26s/step] Training: 52%|█████▏ | 36663/70000 [12:58:30<11:26:30, 1.24s/step] Training: 52%|█████▏ | 36664/70000 [12:58:31<11:25:31, 1.23s/step] Training: 52%|█████▏ | 36665/70000 [12:58:32<11:18:33, 1.22s/step] Training: 52%|█████▏ | 36666/70000 [12:58:33<11:13:13, 1.21s/step] Training: 52%|█████▏ | 36667/70000 [12:58:35<11:51:50, 1.28s/step] Training: 52%|█████▏ | 36668/70000 [12:58:36<11:36:06, 1.25s/step] Training: 52%|█████▏ | 36669/70000 [12:58:37<12:07:07, 1.31s/step] Training: 52%|█████▏ | 36670/70000 [12:58:39<11:47:32, 1.27s/step] Training: 52%|█████▏ | 36671/70000 [12:58:40<11:33:11, 1.25s/step] Training: 52%|█████▏ | 36672/70000 [12:58:41<11:29:43, 1.24s/step] Training: 52%|█████▏ | 36673/70000 [12:58:42<11:41:59, 1.26s/step] Training: 52%|█████▏ | 36674/70000 [12:58:44<11:30:45, 1.24s/step] Training: 52%|█████▏ | 36675/70000 [12:58:45<11:46:38, 1.27s/step] Training: 52%|█████▏ | 36676/70000 [12:58:46<11:32:47, 1.25s/step] Training: 52%|█████▏ | 36677/70000 [12:58:47<11:46:17, 1.27s/step] Training: 52%|█████▏ | 36678/70000 [12:58:49<11:32:00, 1.25s/step] Training: 52%|█████▏ | 36679/70000 [12:58:50<11:22:13, 1.23s/step] Training: 52%|█████▏ | 36680/70000 [12:58:51<11:38:30, 1.26s/step] Training: 52%|█████▏ | 36681/70000 [12:58:52<11:26:51, 1.24s/step] Training: 52%|█████▏ | 36682/70000 [12:58:54<11:18:45, 1.22s/step] Training: 52%|█████▏ | 36683/70000 [12:58:55<11:43:02, 1.27s/step] Training: 52%|█████▏ | 36684/70000 [12:58:56<11:30:52, 1.24s/step] Training: 52%|█████▏ | 36685/70000 [12:58:57<11:30:36, 1.24s/step] Training: 52%|█████▏ | 36686/70000 [12:58:59<11:21:39, 1.23s/step] Training: 52%|█████▏ | 36687/70000 [12:59:00<11:15:01, 1.22s/step] Training: 52%|█████▏ | 36688/70000 [12:59:01<11:34:01, 1.25s/step] Training: 52%|█████▏ | 36689/70000 [12:59:02<11:24:28, 1.23s/step] Training: 52%|█████▏ | 36690/70000 [12:59:03<11:18:37, 1.22s/step] Training: 52%|█████▏ | 36691/70000 [12:59:05<11:41:38, 1.26s/step] Training: 52%|█████▏ | 36692/70000 [12:59:06<11:28:47, 1.24s/step] Training: 52%|█████▏ | 36693/70000 [12:59:07<11:48:22, 1.28s/step] Training: 52%|█████▏ | 36694/70000 [12:59:09<11:31:57, 1.25s/step] Training: 52%|█████▏ | 36695/70000 [12:59:10<11:23:25, 1.23s/step] Training: 52%|█████▏ | 36696/70000 [12:59:11<11:40:24, 1.26s/step] Training: 52%|█████▏ | 36697/70000 [12:59:12<11:28:43, 1.24s/step] Training: 52%|█████▏ | 36698/70000 [12:59:13<11:20:34, 1.23s/step] Training: 52%|█████▏ | 36699/70000 [12:59:15<11:38:37, 1.26s/step] Training: 52%|█████▏ | 36700/70000 [12:59:16<11:26:48, 1.24s/step]INFO 2026-03-13 09:09:08 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.11 loss:0.015 grdn:2.108 lr:1.2e-05 updt_s:1.233 data_s:0.019 Training: 52%|█████▏ | 36701/70000 [12:59:17<11:41:48, 1.26s/step] Training: 52%|█████▏ | 36702/70000 [12:59:18<11:29:35, 1.24s/step] Training: 52%|█████▏ | 36703/70000 [12:59:20<11:20:45, 1.23s/step] Training: 52%|█████▏ | 36704/70000 [12:59:21<11:21:04, 1.23s/step] Training: 52%|█████▏ | 36705/70000 [12:59:22<11:34:01, 1.25s/step] Training: 52%|█████▏ | 36706/70000 [12:59:23<11:24:27, 1.23s/step] Training: 52%|█████▏ | 36707/70000 [12:59:25<11:40:29, 1.26s/step] Training: 52%|█████▏ | 36708/70000 [12:59:26<11:28:15, 1.24s/step] Training: 52%|█████▏ | 36709/70000 [12:59:27<11:42:52, 1.27s/step] Training: 52%|█████▏ | 36710/70000 [12:59:29<11:56:26, 1.29s/step] Training: 52%|█████▏ | 36711/70000 [12:59:30<11:38:13, 1.26s/step] Training: 52%|█████▏ | 36712/70000 [12:59:31<11:50:02, 1.28s/step] Training: 52%|█████▏ | 36713/70000 [12:59:32<11:35:18, 1.25s/step] Training: 52%|█████▏ | 36714/70000 [12:59:33<11:24:40, 1.23s/step] Training: 52%|█████▏ | 36715/70000 [12:59:35<11:42:44, 1.27s/step] Training: 52%|█████▏ | 36716/70000 [12:59:36<11:30:48, 1.25s/step] Training: 52%|█████▏ | 36717/70000 [12:59:37<11:28:45, 1.24s/step] Training: 52%|█████▏ | 36718/70000 [12:59:39<11:40:57, 1.26s/step] Training: 52%|█████▏ | 36719/70000 [12:59:40<11:28:16, 1.24s/step] Training: 52%|█████▏ | 36720/70000 [12:59:41<11:44:53, 1.27s/step] Training: 52%|█████▏ | 36721/70000 [12:59:42<11:31:23, 1.25s/step] Training: 52%|█████▏ | 36722/70000 [12:59:43<11:22:39, 1.23s/step] Training: 52%|█████▏ | 36723/70000 [12:59:45<11:46:17, 1.27s/step] Training: 52%|█████▏ | 36724/70000 [12:59:46<11:31:49, 1.25s/step] Training: 52%|█████▏ | 36725/70000 [12:59:47<11:26:25, 1.24s/step] Training: 52%|█████▏ | 36726/70000 [12:59:49<11:49:04, 1.28s/step] Training: 52%|█████▏ | 36727/70000 [12:59:50<11:32:49, 1.25s/step] Training: 52%|█████▏ | 36728/70000 [12:59:51<11:46:21, 1.27s/step] Training: 52%|█████▏ | 36729/70000 [12:59:52<11:32:02, 1.25s/step] Training: 52%|█████▏ | 36730/70000 [12:59:54<11:22:32, 1.23s/step] Training: 52%|█████▏ | 36731/70000 [12:59:55<11:37:46, 1.26s/step] Training: 52%|█████▏ | 36732/70000 [12:59:56<11:28:33, 1.24s/step] Training: 52%|█████▏ | 36733/70000 [12:59:57<11:43:53, 1.27s/step] Training: 52%|█████▏ | 36734/70000 [12:59:59<11:30:22, 1.25s/step] Training: 52%|█████▏ | 36735/70000 [13:00:00<11:48:35, 1.28s/step] Training: 52%|█████▏ | 36736/70000 [13:00:01<11:38:22, 1.26s/step] Training: 52%|█████▏ | 36737/70000 [13:00:02<11:47:22, 1.28s/step] Training: 52%|█████▏ | 36738/70000 [13:00:04<11:33:55, 1.25s/step] Training: 52%|█████▏ | 36739/70000 [13:00:05<11:46:03, 1.27s/step] Training: 52%|█████▏ | 36740/70000 [13:00:06<11:32:41, 1.25s/step] Training: 52%|█████▏ | 36741/70000 [13:00:07<11:46:10, 1.27s/step] Training: 52%|█████▏ | 36742/70000 [13:00:09<11:32:46, 1.25s/step] Training: 52%|█████▏ | 36743/70000 [13:00:10<11:52:35, 1.29s/step] Training: 52%|█████▏ | 36744/70000 [13:00:11<11:40:42, 1.26s/step] Training: 52%|█████▏ | 36745/70000 [13:00:12<11:32:26, 1.25s/step] Training: 52%|█████▏ | 36746/70000 [13:00:14<11:21:44, 1.23s/step] Training: 52%|█████▏ | 36747/70000 [13:00:15<11:45:07, 1.27s/step] Training: 52%|█████▏ | 36748/70000 [13:00:16<11:32:00, 1.25s/step] Training: 52%|█████▏ | 36749/70000 [13:00:17<11:29:51, 1.24s/step] Training: 52%|█████▎ | 36750/70000 [13:00:19<11:21:09, 1.23s/step] Training: 53%|█████▎ | 36751/70000 [13:00:20<11:15:07, 1.22s/step] Training: 53%|█████▎ | 36752/70000 [13:00:21<11:38:45, 1.26s/step] Training: 53%|█████▎ | 36753/70000 [13:00:22<11:26:51, 1.24s/step] Training: 53%|█████▎ | 36754/70000 [13:00:24<11:18:18, 1.22s/step] Training: 53%|█████▎ | 36755/70000 [13:00:25<11:44:56, 1.27s/step] Training: 53%|█████▎ | 36756/70000 [13:00:26<11:30:44, 1.25s/step] Training: 53%|█████▎ | 36757/70000 [13:00:27<11:24:23, 1.24s/step] Training: 53%|█████▎ | 36758/70000 [13:00:29<11:16:36, 1.22s/step] Training: 53%|█████▎ | 36759/70000 [13:00:30<11:17:23, 1.22s/step] Training: 53%|█████▎ | 36760/70000 [13:00:31<11:36:32, 1.26s/step] Training: 53%|█████▎ | 36761/70000 [13:00:32<11:25:33, 1.24s/step] Training: 53%|█████▎ | 36762/70000 [13:00:34<11:18:14, 1.22s/step] Training: 53%|█████▎ | 36763/70000 [13:00:35<11:35:09, 1.25s/step] Training: 53%|█████▎ | 36764/70000 [13:00:36<11:24:20, 1.24s/step] Training: 53%|█████▎ | 36765/70000 [13:00:37<11:40:50, 1.27s/step] Training: 53%|█████▎ | 36766/70000 [13:00:39<11:28:57, 1.24s/step] Training: 53%|█████▎ | 36767/70000 [13:00:40<11:33:40, 1.25s/step] Training: 53%|█████▎ | 36768/70000 [13:00:41<11:51:28, 1.28s/step] Training: 53%|█████▎ | 36769/70000 [13:00:42<11:36:00, 1.26s/step] Training: 53%|█████▎ | 36770/70000 [13:00:44<11:24:52, 1.24s/step] Training: 53%|█████▎ | 36771/70000 [13:00:45<11:42:12, 1.27s/step] Training: 53%|█████▎ | 36772/70000 [13:00:46<11:31:11, 1.25s/step] Training: 53%|█████▎ | 36773/70000 [13:00:47<11:41:35, 1.27s/step] Training: 53%|█████▎ | 36774/70000 [13:00:49<11:28:49, 1.24s/step] Training: 53%|█████▎ | 36775/70000 [13:00:50<11:19:00, 1.23s/step] Training: 53%|█████▎ | 36776/70000 [13:00:51<11:50:58, 1.28s/step] Training: 53%|█████▎ | 36777/70000 [13:00:52<11:35:02, 1.26s/step] Training: 53%|█████▎ | 36778/70000 [13:00:54<11:23:43, 1.23s/step] Training: 53%|█████▎ | 36779/70000 [13:00:55<11:48:42, 1.28s/step] Training: 53%|█████▎ | 36780/70000 [13:00:56<11:34:19, 1.25s/step] Training: 53%|█████▎ | 36781/70000 [13:00:57<11:28:44, 1.24s/step] Training: 53%|█████▎ | 36782/70000 [13:00:59<11:19:38, 1.23s/step] Training: 53%|█████▎ | 36783/70000 [13:01:00<11:13:09, 1.22s/step] Training: 53%|█████▎ | 36784/70000 [13:01:01<11:43:23, 1.27s/step] Training: 53%|█████▎ | 36785/70000 [13:01:02<11:30:55, 1.25s/step] Training: 53%|█████▎ | 36786/70000 [13:01:04<11:20:02, 1.23s/step] Training: 53%|█████▎ | 36787/70000 [13:01:05<11:42:17, 1.27s/step] Training: 53%|█████▎ | 36788/70000 [13:01:06<11:31:42, 1.25s/step] Training: 53%|█████▎ | 36789/70000 [13:01:07<11:23:05, 1.23s/step] Training: 53%|█████▎ | 36790/70000 [13:01:09<11:16:00, 1.22s/step] Training: 53%|█████▎ | 36791/70000 [13:01:10<11:10:52, 1.21s/step] Training: 53%|█████▎ | 36792/70000 [13:01:11<11:30:34, 1.25s/step] Training: 53%|█████▎ | 36793/70000 [13:01:12<11:46:41, 1.28s/step] Training: 53%|█████▎ | 36794/70000 [13:01:14<11:30:44, 1.25s/step] Training: 53%|█████▎ | 36795/70000 [13:01:15<11:44:34, 1.27s/step] Training: 53%|█████▎ | 36796/70000 [13:01:16<11:31:16, 1.25s/step] Training: 53%|█████▎ | 36797/70000 [13:01:17<11:45:38, 1.28s/step] Training: 53%|█████▎ | 36798/70000 [13:01:19<11:32:02, 1.25s/step] Training: 53%|█████▎ | 36799/70000 [13:01:20<11:23:03, 1.23s/step] Training: 53%|█████▎ | 36800/70000 [13:01:21<11:46:46, 1.28s/step]INFO 2026-03-13 09:11:13 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.19 loss:0.014 grdn:2.323 lr:1.2e-05 updt_s:1.231 data_s:0.019 Training: 53%|█████▎ | 36801/70000 [13:01:22<11:30:33, 1.25s/step] Training: 53%|█████▎ | 36802/70000 [13:01:24<11:22:20, 1.23s/step] Training: 53%|█████▎ | 36803/70000 [13:01:25<11:36:48, 1.26s/step] Training: 53%|█████▎ | 36804/70000 [13:01:26<11:28:10, 1.24s/step] Training: 53%|█████▎ | 36805/70000 [13:01:27<11:18:17, 1.23s/step] Training: 53%|█████▎ | 36806/70000 [13:01:29<11:37:17, 1.26s/step] Training: 53%|█████▎ | 36807/70000 [13:01:30<11:25:24, 1.24s/step] Training: 53%|█████▎ | 36808/70000 [13:01:31<11:39:44, 1.26s/step] Training: 53%|█████▎ | 36809/70000 [13:01:32<11:52:54, 1.29s/step] Training: 53%|█████▎ | 36810/70000 [13:01:34<11:34:59, 1.26s/step] Training: 53%|█████▎ | 36811/70000 [13:01:35<11:50:01, 1.28s/step] Training: 53%|█████▎ | 36812/70000 [13:01:36<11:34:16, 1.26s/step] Training: 53%|█████▎ | 36813/70000 [13:01:37<11:23:10, 1.24s/step] Training: 53%|█████▎ | 36814/70000 [13:01:39<11:34:55, 1.26s/step] Training: 53%|█████▎ | 36815/70000 [13:01:40<11:24:39, 1.24s/step] Training: 53%|█████▎ | 36816/70000 [13:01:41<11:22:06, 1.23s/step] Training: 53%|█████▎ | 36817/70000 [13:01:42<11:44:44, 1.27s/step] Training: 53%|█████▎ | 36818/70000 [13:01:44<11:29:24, 1.25s/step] Training: 53%|█████▎ | 36819/70000 [13:01:45<11:51:51, 1.29s/step] Training: 53%|█████▎ | 36820/70000 [13:01:46<11:35:30, 1.26s/step] Training: 53%|█████▎ | 36821/70000 [13:01:47<11:25:17, 1.24s/step] Training: 53%|█████▎ | 36822/70000 [13:01:49<11:17:11, 1.22s/step] Training: 53%|█████▎ | 36823/70000 [13:01:50<11:11:43, 1.21s/step] Training: 53%|█████▎ | 36824/70000 [13:01:51<11:29:22, 1.25s/step] Training: 53%|█████▎ | 36825/70000 [13:01:52<11:21:55, 1.23s/step] Training: 53%|█████▎ | 36826/70000 [13:01:54<11:13:00, 1.22s/step] Training: 53%|█████▎ | 36827/70000 [13:01:55<11:35:34, 1.26s/step] Training: 53%|█████▎ | 36828/70000 [13:01:56<11:24:47, 1.24s/step] Training: 53%|█████▎ | 36829/70000 [13:01:57<11:15:57, 1.22s/step] Training: 53%|█████▎ | 36830/70000 [13:01:59<11:31:42, 1.25s/step] Training: 53%|█████▎ | 36831/70000 [13:02:00<11:21:26, 1.23s/step] Training: 53%|█████▎ | 36832/70000 [13:02:01<11:40:38, 1.27s/step] Training: 53%|█████▎ | 36833/70000 [13:02:02<11:35:51, 1.26s/step] Training: 53%|█████▎ | 36834/70000 [13:02:04<11:24:48, 1.24s/step] Training: 53%|█████▎ | 36835/70000 [13:02:05<11:43:29, 1.27s/step] Training: 53%|█████▎ | 36836/70000 [13:02:06<11:30:44, 1.25s/step] Training: 53%|█████▎ | 36837/70000 [13:02:07<11:20:58, 1.23s/step] Training: 53%|█████▎ | 36838/70000 [13:02:09<11:39:45, 1.27s/step] Training: 53%|█████▎ | 36839/70000 [13:02:10<11:28:51, 1.25s/step] Training: 53%|█████▎ | 36840/70000 [13:02:11<11:41:55, 1.27s/step] Training: 53%|█████▎ | 36841/70000 [13:02:12<11:40:26, 1.27s/step] Training: 53%|█████▎ | 36842/70000 [13:02:14<11:25:36, 1.24s/step] Training: 53%|█████▎ | 36843/70000 [13:02:15<11:42:18, 1.27s/step] Training: 53%|█████▎ | 36844/70000 [13:02:16<11:29:16, 1.25s/step] Training: 53%|█████▎ | 36845/70000 [13:02:17<11:20:04, 1.23s/step] Training: 53%|█████▎ | 36846/70000 [13:02:19<11:18:22, 1.23s/step] Training: 53%|█████▎ | 36847/70000 [13:02:20<11:13:49, 1.22s/step] Training: 53%|█████▎ | 36848/70000 [13:02:21<11:15:56, 1.22s/step] Training: 53%|█████▎ | 36849/70000 [13:02:22<11:30:56, 1.25s/step] Training: 53%|█████▎ | 36850/70000 [13:02:24<12:04:34, 1.31s/step] Training: 53%|█████▎ | 36851/70000 [13:02:25<12:13:52, 1.33s/step] Training: 53%|█████▎ | 36852/70000 [13:02:26<11:50:50, 1.29s/step] Training: 53%|█████▎ | 36853/70000 [13:02:27<11:34:41, 1.26s/step] Training: 53%|█████▎ | 36854/70000 [13:02:29<11:47:41, 1.28s/step] Training: 53%|█████▎ | 36855/70000 [13:02:30<11:32:49, 1.25s/step] Training: 53%|█████▎ | 36856/70000 [13:02:31<11:24:26, 1.24s/step] Training: 53%|█████▎ | 36857/70000 [13:02:32<11:15:59, 1.22s/step] Training: 53%|█████▎ | 36858/70000 [13:02:34<11:18:54, 1.23s/step] Training: 53%|█████▎ | 36859/70000 [13:02:35<11:35:04, 1.26s/step] Training: 53%|█████▎ | 36860/70000 [13:02:36<11:24:22, 1.24s/step] Training: 53%|█████▎ | 36861/70000 [13:02:37<11:15:58, 1.22s/step] Training: 53%|█████▎ | 36862/70000 [13:02:39<11:33:55, 1.26s/step] Training: 53%|█████▎ | 36863/70000 [13:02:40<11:23:10, 1.24s/step] Training: 53%|█████▎ | 36864/70000 [13:02:41<11:44:06, 1.27s/step] Training: 53%|█████▎ | 36865/70000 [13:02:42<11:29:45, 1.25s/step] Training: 53%|█████▎ | 36866/70000 [13:02:44<11:28:13, 1.25s/step] Training: 53%|█████▎ | 36867/70000 [13:02:45<11:40:25, 1.27s/step] Training: 53%|█████▎ | 36868/70000 [13:02:46<11:50:08, 1.29s/step] Training: 53%|█████▎ | 36869/70000 [13:02:47<11:33:54, 1.26s/step] Training: 53%|█████▎ | 36870/70000 [13:02:49<11:48:19, 1.28s/step] Training: 53%|█████▎ | 36871/70000 [13:02:50<11:33:02, 1.26s/step] Training: 53%|█████▎ | 36872/70000 [13:02:51<11:45:37, 1.28s/step] Training: 53%|█████▎ | 36873/70000 [13:02:53<11:30:35, 1.25s/step] Training: 53%|█████▎ | 36874/70000 [13:02:54<11:20:32, 1.23s/step] Training: 53%|█████▎ | 36875/70000 [13:02:55<11:59:15, 1.30s/step] Training: 53%|█████▎ | 36876/70000 [13:02:56<11:53:32, 1.29s/step] Training: 53%|█████▎ | 36877/70000 [13:02:58<11:36:32, 1.26s/step] Training: 53%|█████▎ | 36878/70000 [13:02:59<11:26:29, 1.24s/step] Training: 53%|█████▎ | 36879/70000 [13:03:00<11:18:40, 1.23s/step] Training: 53%|█████▎ | 36880/70000 [13:03:01<11:39:15, 1.27s/step] Training: 53%|█████▎ | 36881/70000 [13:03:03<11:26:24, 1.24s/step] Training: 53%|█████▎ | 36882/70000 [13:03:04<11:17:20, 1.23s/step] Training: 53%|█████▎ | 36883/70000 [13:03:05<11:48:06, 1.28s/step] Training: 53%|█████▎ | 36884/70000 [13:03:06<11:32:46, 1.26s/step] Training: 53%|█████▎ | 36885/70000 [13:03:08<11:21:42, 1.24s/step] Training: 53%|█████▎ | 36886/70000 [13:03:09<11:36:52, 1.26s/step] Training: 53%|█████▎ | 36887/70000 [13:03:10<11:25:34, 1.24s/step] Training: 53%|█████▎ | 36888/70000 [13:03:11<11:40:38, 1.27s/step] Training: 53%|█████▎ | 36889/70000 [13:03:13<11:27:30, 1.25s/step] Training: 53%|█████▎ | 36890/70000 [13:03:14<11:17:42, 1.23s/step] Training: 53%|█████▎ | 36891/70000 [13:03:15<11:38:04, 1.27s/step] Training: 53%|█████▎ | 36892/70000 [13:03:16<11:47:25, 1.28s/step] Training: 53%|█████▎ | 36893/70000 [13:03:18<11:32:16, 1.25s/step] Training: 53%|█████▎ | 36894/70000 [13:03:19<11:44:38, 1.28s/step] Training: 53%|█████▎ | 36895/70000 [13:03:20<11:30:39, 1.25s/step] Training: 53%|█████▎ | 36896/70000 [13:03:22<11:49:55, 1.29s/step] Training: 53%|█████▎ | 36897/70000 [13:03:23<11:33:59, 1.26s/step] Training: 53%|█████▎ | 36898/70000 [13:03:24<11:22:20, 1.24s/step] Training: 53%|█████▎ | 36899/70000 [13:03:25<11:41:16, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=64762 Training: 53%|█████▎ | 36900/70000 [13:03:27<11:48:55, 1.29s/step]INFO 2026-03-13 09:13:19 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.28 loss:0.014 grdn:2.060 lr:1.2e-05 updt_s:1.233 data_s:0.019 Training: 53%|█████▎ | 36901/70000 [13:03:28<11:32:29, 1.26s/step] Training: 53%|█████▎ | 36902/70000 [13:03:29<11:44:24, 1.28s/step] Training: 53%|█████▎ | 36903/70000 [13:03:30<11:30:08, 1.25s/step] Training: 53%|█████▎ | 36904/70000 [13:03:32<11:43:18, 1.28s/step] Training: 53%|█████▎ | 36905/70000 [13:03:33<11:30:07, 1.25s/step] Training: 53%|█████▎ | 36906/70000 [13:03:34<11:19:03, 1.23s/step] Training: 53%|█████▎ | 36907/70000 [13:03:35<11:35:44, 1.26s/step] Training: 53%|█████▎ | 36908/70000 [13:03:37<11:51:11, 1.29s/step] Training: 53%|█████▎ | 36909/70000 [13:03:38<11:34:10, 1.26s/step] Training: 53%|█████▎ | 36910/70000 [13:03:39<11:25:06, 1.24s/step] Training: 53%|█████▎ | 36911/70000 [13:03:40<11:17:48, 1.23s/step] Training: 53%|█████▎ | 36912/70000 [13:03:42<11:38:32, 1.27s/step] Training: 53%|█████▎ | 36913/70000 [13:03:43<11:25:38, 1.24s/step] Training: 53%|█████▎ | 36914/70000 [13:03:44<11:17:26, 1.23s/step] Training: 53%|█████▎ | 36915/70000 [13:03:45<11:42:26, 1.27s/step] Training: 53%|█████▎ | 36916/70000 [13:03:47<12:10:49, 1.33s/step] Training: 53%|█████▎ | 36917/70000 [13:03:48<11:49:22, 1.29s/step] Training: 53%|█████▎ | 36918/70000 [13:03:49<11:55:54, 1.30s/step] Training: 53%|█████▎ | 36919/70000 [13:03:51<11:38:45, 1.27s/step] Training: 53%|█████▎ | 36920/70000 [13:03:52<11:47:49, 1.28s/step] Training: 53%|█████▎ | 36921/70000 [13:03:53<11:31:48, 1.25s/step] Training: 53%|█████▎ | 36922/70000 [13:03:54<11:21:47, 1.24s/step] Training: 53%|█████▎ | 36923/70000 [13:03:56<11:38:58, 1.27s/step] Training: 53%|█████▎ | 36924/70000 [13:03:57<12:07:47, 1.32s/step] Training: 53%|█████▎ | 36925/70000 [13:03:58<11:46:14, 1.28s/step] Training: 53%|█████▎ | 36926/70000 [13:03:59<11:32:21, 1.26s/step] Training: 53%|█████▎ | 36927/70000 [13:04:01<11:43:55, 1.28s/step] Training: 53%|█████▎ | 36928/70000 [13:04:02<11:57:41, 1.30s/step] Training: 53%|█████▎ | 36929/70000 [13:04:03<11:38:55, 1.27s/step] Training: 53%|█████▎ | 36930/70000 [13:04:05<11:26:06, 1.24s/step] Training: 53%|█████▎ | 36931/70000 [13:04:06<11:41:21, 1.27s/step] Training: 53%|█████▎ | 36932/70000 [13:04:07<11:57:39, 1.30s/step] Training: 53%|█████▎ | 36933/70000 [13:04:08<11:38:02, 1.27s/step] Training: 53%|█████▎ | 36934/70000 [13:04:10<11:24:59, 1.24s/step] Training: 53%|█████▎ | 36935/70000 [13:04:11<11:39:28, 1.27s/step] Training: 53%|█████▎ | 36936/70000 [13:04:12<11:49:30, 1.29s/step] Training: 53%|█████▎ | 36937/70000 [13:04:13<11:33:58, 1.26s/step] Training: 53%|█████▎ | 36938/70000 [13:04:15<11:21:12, 1.24s/step] Training: 53%|█████▎ | 36939/70000 [13:04:16<11:38:01, 1.27s/step] Training: 53%|█████▎ | 36940/70000 [13:04:17<11:33:06, 1.26s/step] Training: 53%|█████▎ | 36941/70000 [13:04:18<11:20:55, 1.24s/step] Training: 53%|█████▎ | 36942/70000 [13:04:20<11:13:32, 1.22s/step] Training: 53%|█████▎ | 36943/70000 [13:04:21<11:31:54, 1.26s/step] Training: 53%|█████▎ | 36944/70000 [13:04:22<11:52:16, 1.29s/step] Training: 53%|█████▎ | 36945/70000 [13:04:24<11:37:10, 1.27s/step] Training: 53%|█████▎ | 36946/70000 [13:04:25<11:24:17, 1.24s/step] Training: 53%|█████▎ | 36947/70000 [13:04:26<11:48:51, 1.29s/step] Training: 53%|█████▎ | 36948/70000 [13:04:27<11:54:28, 1.30s/step] Training: 53%|█████▎ | 36949/70000 [13:04:29<12:01:22, 1.31s/step] Training: 53%|█████▎ | 36950/70000 [13:04:30<11:39:51, 1.27s/step] Training: 53%|█████▎ | 36951/70000 [13:04:31<11:49:31, 1.29s/step] Training: 53%|█████▎ | 36952/70000 [13:04:33<11:57:28, 1.30s/step] Training: 53%|█████▎ | 36953/70000 [13:04:34<11:39:08, 1.27s/step] Training: 53%|█████▎ | 36954/70000 [13:04:35<11:25:47, 1.25s/step] Training: 53%|█████▎ | 36955/70000 [13:04:36<11:40:19, 1.27s/step] Training: 53%|█████▎ | 36956/70000 [13:04:38<11:49:49, 1.29s/step] Training: 53%|█████▎ | 36957/70000 [13:04:39<11:54:18, 1.30s/step] Training: 53%|█████▎ | 36958/70000 [13:04:40<11:35:18, 1.26s/step] Training: 53%|█████▎ | 36959/70000 [13:04:41<11:23:27, 1.24s/step] Training: 53%|█████▎ | 36960/70000 [13:04:43<11:44:47, 1.28s/step] Training: 53%|█████▎ | 36961/70000 [13:04:44<11:30:07, 1.25s/step] Training: 53%|█████▎ | 36962/70000 [13:04:45<11:20:14, 1.24s/step] Training: 53%|█████▎ | 36963/70000 [13:04:46<11:34:50, 1.26s/step] Training: 53%|█████▎ | 36964/70000 [13:04:48<11:50:33, 1.29s/step] Training: 53%|█████▎ | 36965/70000 [13:04:49<12:01:52, 1.31s/step] Training: 53%|█████▎ | 36966/70000 [13:04:50<11:48:15, 1.29s/step] Training: 53%|█████▎ | 36967/70000 [13:04:52<11:32:01, 1.26s/step] Training: 53%|█████▎ | 36968/70000 [13:04:53<11:44:18, 1.28s/step] Training: 53%|█████▎ | 36969/70000 [13:04:54<11:29:14, 1.25s/step] Training: 53%|█████▎ | 36970/70000 [13:04:55<11:18:52, 1.23s/step] Training: 53%|█████▎ | 36971/70000 [13:04:57<11:34:47, 1.26s/step] Training: 53%|█████▎ | 36972/70000 [13:04:58<11:28:52, 1.25s/step] Training: 53%|█████▎ | 36973/70000 [13:04:59<11:19:08, 1.23s/step] Training: 53%|█████▎ | 36974/70000 [13:05:00<11:36:28, 1.27s/step] Training: 53%|█████▎ | 36975/70000 [13:05:02<11:22:45, 1.24s/step] Training: 53%|█████▎ | 36976/70000 [13:05:03<11:44:36, 1.28s/step] Training: 53%|█████▎ | 36977/70000 [13:05:04<11:29:23, 1.25s/step] Training: 53%|█████▎ | 36978/70000 [13:05:05<11:18:20, 1.23s/step] Training: 53%|█████▎ | 36979/70000 [13:05:07<11:34:24, 1.26s/step] Training: 53%|█████▎ | 36980/70000 [13:05:08<11:48:50, 1.29s/step] Training: 53%|█████▎ | 36981/70000 [13:05:09<11:32:17, 1.26s/step] Training: 53%|█████▎ | 36982/70000 [13:05:11<12:01:39, 1.31s/step] Training: 53%|█████▎ | 36983/70000 [13:05:12<11:41:38, 1.28s/step] Training: 53%|█████▎ | 36984/70000 [13:05:13<11:50:23, 1.29s/step] Training: 53%|█████▎ | 36985/70000 [13:05:14<11:33:30, 1.26s/step] Training: 53%|█████▎ | 36986/70000 [13:05:15<11:21:10, 1.24s/step] Training: 53%|█████▎ | 36987/70000 [13:05:17<11:35:44, 1.26s/step] Training: 53%|█████▎ | 36988/70000 [13:05:18<11:46:58, 1.28s/step] Training: 53%|█████▎ | 36989/70000 [13:05:19<11:31:17, 1.26s/step] Training: 53%|█████▎ | 36990/70000 [13:05:21<11:41:58, 1.28s/step] Training: 53%|█████▎ | 36991/70000 [13:05:22<11:28:54, 1.25s/step] Training: 53%|█████▎ | 36992/70000 [13:05:23<11:50:23, 1.29s/step] Training: 53%|█████▎ | 36993/70000 [13:05:24<11:33:25, 1.26s/step] Training: 53%|█████▎ | 36994/70000 [13:05:26<11:21:55, 1.24s/step] Training: 53%|█████▎ | 36995/70000 [13:05:27<11:36:03, 1.27s/step] Training: 53%|█████▎ | 36996/70000 [13:05:28<11:54:46, 1.30s/step] Training: 53%|█████▎ | 36997/70000 [13:05:29<11:36:33, 1.27s/step] Training: 53%|█████▎ | 36998/70000 [13:05:31<11:29:41, 1.25s/step] Training: 53%|█████▎ | 36999/70000 [13:05:32<11:18:49, 1.23s/step] Training: 53%|█████▎ | 37000/70000 [13:05:33<11:33:28, 1.26s/step]INFO 2026-03-13 09:15:25 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.36 loss:0.015 grdn:2.563 lr:1.2e-05 updt_s:1.245 data_s:0.019 Training: 53%|█████▎ | 37001/70000 [13:05:34<11:21:56, 1.24s/step] Training: 53%|█████▎ | 37002/70000 [13:05:36<11:13:26, 1.22s/step] Training: 53%|█████▎ | 37003/70000 [13:05:37<11:32:28, 1.26s/step] Training: 53%|█████▎ | 37004/70000 [13:05:38<11:25:21, 1.25s/step] Training: 53%|█████▎ | 37005/70000 [13:05:39<11:15:36, 1.23s/step] Training: 53%|█████▎ | 37006/70000 [13:05:41<11:22:16, 1.24s/step] Training: 53%|█████▎ | 37007/70000 [13:05:42<11:12:03, 1.22s/step] Training: 53%|█████▎ | 37008/70000 [13:05:43<11:35:23, 1.26s/step] Training: 53%|█████▎ | 37009/70000 [13:05:44<11:22:24, 1.24s/step] Training: 53%|█████▎ | 37010/70000 [13:05:46<11:13:57, 1.23s/step] Training: 53%|█████▎ | 37011/70000 [13:05:47<11:30:21, 1.26s/step] Training: 53%|█████▎ | 37012/70000 [13:05:48<11:42:54, 1.28s/step] Training: 53%|█████▎ | 37013/70000 [13:05:49<11:27:53, 1.25s/step] Training: 53%|█████▎ | 37014/70000 [13:05:51<11:42:36, 1.28s/step] Training: 53%|█████▎ | 37015/70000 [13:05:52<11:53:05, 1.30s/step] Training: 53%|█████▎ | 37016/70000 [13:05:53<11:59:08, 1.31s/step] Training: 53%|█████▎ | 37017/70000 [13:05:55<11:39:25, 1.27s/step] Training: 53%|█████▎ | 37018/70000 [13:05:56<11:25:23, 1.25s/step] Training: 53%|█████▎ | 37019/70000 [13:05:57<11:36:30, 1.27s/step] Training: 53%|█████▎ | 37020/70000 [13:05:58<11:46:43, 1.29s/step] Training: 53%|█████▎ | 37021/70000 [13:06:00<11:30:35, 1.26s/step] Training: 53%|█████▎ | 37022/70000 [13:06:01<11:41:05, 1.28s/step] Training: 53%|█████▎ | 37023/70000 [13:06:02<11:39:45, 1.27s/step] Training: 53%|█████▎ | 37024/70000 [13:06:04<11:55:51, 1.30s/step] Training: 53%|█████▎ | 37025/70000 [13:06:05<11:37:05, 1.27s/step] Training: 53%|█████▎ | 37026/70000 [13:06:06<11:23:48, 1.24s/step] Training: 53%|█████▎ | 37027/70000 [13:06:07<11:39:03, 1.27s/step] Training: 53%|█████▎ | 37028/70000 [13:06:09<11:53:59, 1.30s/step] Training: 53%|█████▎ | 37029/70000 [13:06:10<11:35:31, 1.27s/step] Training: 53%|█████▎ | 37030/70000 [13:06:11<11:30:02, 1.26s/step] Training: 53%|█████▎ | 37031/70000 [13:06:12<11:18:32, 1.23s/step] Training: 53%|█████▎ | 37032/70000 [13:06:14<11:47:58, 1.29s/step] Training: 53%|█████▎ | 37033/70000 [13:06:15<11:31:54, 1.26s/step] Training: 53%|█████▎ | 37034/70000 [13:06:16<11:20:09, 1.24s/step] Training: 53%|█████▎ | 37035/70000 [13:06:17<11:36:13, 1.27s/step] Training: 53%|█████▎ | 37036/70000 [13:06:19<11:27:53, 1.25s/step] Training: 53%|█████▎ | 37037/70000 [13:06:20<11:18:55, 1.24s/step] Training: 53%|█████▎ | 37038/70000 [13:06:21<11:14:10, 1.23s/step] Training: 53%|█████▎ | 37039/70000 [13:06:22<11:37:08, 1.27s/step] Training: 53%|█████▎ | 37040/70000 [13:06:24<11:51:02, 1.29s/step] Training: 53%|█████▎ | 37041/70000 [13:06:25<11:34:03, 1.26s/step] Training: 53%|█████▎ | 37042/70000 [13:06:26<11:22:20, 1.24s/step] Training: 53%|█████▎ | 37043/70000 [13:06:27<11:36:09, 1.27s/step] Training: 53%|█████▎ | 37044/70000 [13:06:29<11:47:11, 1.29s/step] Training: 53%|█████▎ | 37045/70000 [13:06:30<11:30:36, 1.26s/step] Training: 53%|█████▎ | 37046/70000 [13:06:31<11:42:33, 1.28s/step] Training: 53%|█████▎ | 37047/70000 [13:06:32<11:28:06, 1.25s/step] Training: 53%|█████▎ | 37048/70000 [13:06:34<11:55:30, 1.30s/step] Training: 53%|█████▎ | 37049/70000 [13:06:35<11:36:35, 1.27s/step] Training: 53%|█████▎ | 37050/70000 [13:06:36<11:24:20, 1.25s/step] Training: 53%|█████▎ | 37051/70000 [13:06:38<11:23:51, 1.25s/step] Training: 53%|█████▎ | 37052/70000 [13:06:39<11:38:51, 1.27s/step] Training: 53%|█████▎ | 37053/70000 [13:06:40<11:24:43, 1.25s/step] Training: 53%|█████▎ | 37054/70000 [13:06:41<11:36:57, 1.27s/step] Training: 53%|█████▎ | 37055/70000 [13:06:43<11:23:21, 1.24s/step] Training: 53%|█████▎ | 37056/70000 [13:06:44<11:52:37, 1.30s/step] Training: 53%|█████▎ | 37057/70000 [13:06:45<11:34:22, 1.26s/step] Training: 53%|█████▎ | 37058/70000 [13:06:46<11:21:42, 1.24s/step] Training: 53%|█████▎ | 37059/70000 [13:06:48<11:35:46, 1.27s/step] Training: 53%|█████▎ | 37060/70000 [13:06:49<11:56:56, 1.31s/step] Training: 53%|█████▎ | 37061/70000 [13:06:50<11:37:57, 1.27s/step] Training: 53%|█████▎ | 37062/70000 [13:06:51<11:30:51, 1.26s/step] Training: 53%|█████▎ | 37063/70000 [13:06:53<11:18:40, 1.24s/step] Training: 53%|█████▎ | 37064/70000 [13:06:54<11:31:46, 1.26s/step] Training: 53%|█████▎ | 37065/70000 [13:06:55<11:20:13, 1.24s/step] Training: 53%|█████▎ | 37066/70000 [13:06:56<11:11:36, 1.22s/step] Training: 53%|█████▎ | 37067/70000 [13:06:58<11:28:36, 1.25s/step] Training: 53%|█████▎ | 37068/70000 [13:06:59<11:23:52, 1.25s/step] Training: 53%|█████▎ | 37069/70000 [13:07:00<11:14:38, 1.23s/step] Training: 53%|█████▎ | 37070/70000 [13:07:01<11:11:50, 1.22s/step] Training: 53%|█████▎ | 37071/70000 [13:07:02<11:06:13, 1.21s/step] Training: 53%|█████▎ | 37072/70000 [13:07:04<11:32:31, 1.26s/step] Training: 53%|█████▎ | 37073/70000 [13:07:05<11:20:45, 1.24s/step] Training: 53%|█████▎ | 37074/70000 [13:07:06<11:12:21, 1.23s/step] Training: 53%|█████▎ | 37075/70000 [13:07:08<11:29:37, 1.26s/step] Training: 53%|█████▎ | 37076/70000 [13:07:09<11:43:13, 1.28s/step] Training: 53%|█████▎ | 37077/70000 [13:07:10<11:28:02, 1.25s/step] Training: 53%|█████▎ | 37078/70000 [13:07:11<11:40:01, 1.28s/step] Training: 53%|█████▎ | 37079/70000 [13:07:13<11:26:32, 1.25s/step] Training: 53%|█████▎ | 37080/70000 [13:07:14<11:39:12, 1.27s/step] Training: 53%|█████▎ | 37081/70000 [13:07:15<11:24:58, 1.25s/step] Training: 53%|█████▎ | 37082/70000 [13:07:16<11:15:10, 1.23s/step] Training: 53%|█████▎ | 37083/70000 [13:07:18<11:19:50, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=64762 Training: 53%|█████▎ | 37084/70000 [13:07:19<11:34:07, 1.27s/step] Training: 53%|█████▎ | 37085/70000 [13:07:20<11:21:43, 1.24s/step] Training: 53%|█████▎ | 37086/70000 [13:07:21<11:36:19, 1.27s/step] Training: 53%|█████▎ | 37087/70000 [13:07:23<11:23:01, 1.25s/step] Training: 53%|█████▎ | 37088/70000 [13:07:24<11:41:09, 1.28s/step] Training: 53%|█████▎ | 37089/70000 [13:07:25<11:52:39, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=50775 Training: 53%|█████▎ | 37090/70000 [13:07:27<11:32:57, 1.26s/step] Training: 53%|█████▎ | 37091/70000 [13:07:28<11:43:26, 1.28s/step] Training: 53%|█████▎ | 37092/70000 [13:07:29<11:35:02, 1.27s/step] Training: 53%|█████▎ | 37093/70000 [13:07:30<11:22:03, 1.24s/step] Training: 53%|█████▎ | 37094/70000 [13:07:31<11:20:00, 1.24s/step] Training: 53%|█████▎ | 37095/70000 [13:07:33<11:11:55, 1.23s/step] Training: 53%|█████▎ | 37096/70000 [13:07:34<11:27:18, 1.25s/step] Training: 53%|█████▎ | 37097/70000 [13:07:35<11:30:12, 1.26s/step] Training: 53%|█████▎ | 37098/70000 [13:07:36<11:18:52, 1.24s/step] Training: 53%|█████▎ | 37099/70000 [13:07:38<11:35:51, 1.27s/step] Training: 53%|█████▎ | 37100/70000 [13:07:39<11:30:03, 1.26s/step]INFO 2026-03-13 09:17:31 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.45 loss:0.014 grdn:1.591 lr:1.2e-05 updt_s:1.237 data_s:0.019 Training: 53%|█████▎ | 37101/70000 [13:07:40<11:18:45, 1.24s/step] Training: 53%|█████▎ | 37102/70000 [13:07:41<11:14:09, 1.23s/step] Training: 53%|█████▎ | 37103/70000 [13:07:43<11:08:23, 1.22s/step] Training: 53%|█████▎ | 37104/70000 [13:07:44<11:32:08, 1.26s/step] Training: 53%|█████▎ | 37105/70000 [13:07:45<11:20:03, 1.24s/step] Training: 53%|█████▎ | 37106/70000 [13:07:47<11:38:28, 1.27s/step] Training: 53%|█████▎ | 37107/70000 [13:07:48<11:44:51, 1.29s/step] Training: 53%|█████▎ | 37108/70000 [13:07:49<11:51:24, 1.30s/step] Training: 53%|█████▎ | 37109/70000 [13:07:50<11:33:29, 1.27s/step] Training: 53%|█████▎ | 37110/70000 [13:07:52<11:44:09, 1.28s/step] Training: 53%|█████▎ | 37111/70000 [13:07:53<11:28:19, 1.26s/step] Training: 53%|█████▎ | 37112/70000 [13:07:54<11:39:44, 1.28s/step] Training: 53%|█████▎ | 37113/70000 [13:07:56<11:57:47, 1.31s/step] Training: 53%|█████▎ | 37114/70000 [13:07:57<11:37:12, 1.27s/step] Training: 53%|█████▎ | 37115/70000 [13:07:58<11:32:22, 1.26s/step] Training: 53%|█████▎ | 37116/70000 [13:07:59<11:44:50, 1.29s/step] Training: 53%|█████▎ | 37117/70000 [13:08:01<11:28:57, 1.26s/step] Training: 53%|█████▎ | 37118/70000 [13:08:02<11:40:50, 1.28s/step] Training: 53%|█████▎ | 37119/70000 [13:08:03<11:29:44, 1.26s/step] Training: 53%|█████▎ | 37120/70000 [13:08:04<11:23:04, 1.25s/step] Training: 53%|█████▎ | 37121/70000 [13:08:06<11:33:28, 1.27s/step] Training: 53%|█████▎ | 37122/70000 [13:08:07<11:53:15, 1.30s/step] Training: 53%|█████▎ | 37123/70000 [13:08:08<11:55:44, 1.31s/step] Training: 53%|█████▎ | 37124/70000 [13:08:10<11:43:03, 1.28s/step] Training: 53%|█████▎ | 37125/70000 [13:08:11<11:28:10, 1.26s/step] Training: 53%|█████▎ | 37126/70000 [13:08:12<11:24:49, 1.25s/step] Training: 53%|█████▎ | 37127/70000 [13:08:13<11:15:07, 1.23s/step] Training: 53%|█████▎ | 37128/70000 [13:08:14<11:10:51, 1.22s/step] Training: 53%|█████▎ | 37129/70000 [13:08:16<11:13:39, 1.23s/step] Training: 53%|█████▎ | 37130/70000 [13:08:17<11:35:29, 1.27s/step] Training: 53%|█████▎ | 37131/70000 [13:08:18<11:43:55, 1.28s/step] Training: 53%|█████▎ | 37132/70000 [13:08:20<11:49:13, 1.29s/step] Training: 53%|█████▎ | 37133/70000 [13:08:21<11:31:44, 1.26s/step] Training: 53%|█████▎ | 37134/70000 [13:08:22<11:22:52, 1.25s/step] Training: 53%|█████▎ | 37135/70000 [13:08:23<11:13:59, 1.23s/step] Training: 53%|█████▎ | 37136/70000 [13:08:25<11:30:21, 1.26s/step] Training: 53%|█████▎ | 37137/70000 [13:08:26<11:21:17, 1.24s/step] Training: 53%|█████▎ | 37138/70000 [13:08:27<11:12:38, 1.23s/step] Training: 53%|█████▎ | 37139/70000 [13:08:28<11:29:04, 1.26s/step] Training: 53%|█████▎ | 37140/70000 [13:08:30<11:48:08, 1.29s/step] Training: 53%|█████▎ | 37141/70000 [13:08:31<11:33:06, 1.27s/step] Training: 53%|█████▎ | 37142/70000 [13:08:32<11:43:19, 1.28s/step] Training: 53%|█████▎ | 37143/70000 [13:08:33<11:27:24, 1.26s/step] Training: 53%|█████▎ | 37144/70000 [13:08:35<11:39:33, 1.28s/step] Training: 53%|█████▎ | 37145/70000 [13:08:36<11:47:29, 1.29s/step] Training: 53%|█████▎ | 37146/70000 [13:08:37<11:34:49, 1.27s/step] Training: 53%|█████▎ | 37147/70000 [13:08:38<11:25:15, 1.25s/step] Training: 53%|█████▎ | 37148/70000 [13:08:40<11:39:57, 1.28s/step] Training: 53%|█████▎ | 37149/70000 [13:08:41<11:25:33, 1.25s/step] Training: 53%|█████▎ | 37150/70000 [13:08:42<11:37:54, 1.27s/step] Training: 53%|█████▎ | 37151/70000 [13:08:43<11:24:00, 1.25s/step] Training: 53%|█████▎ | 37152/70000 [13:08:45<11:21:43, 1.25s/step] Training: 53%|█████▎ | 37153/70000 [13:08:46<11:34:03, 1.27s/step] Training: 53%|█████▎ | 37154/70000 [13:08:47<11:20:59, 1.24s/step] Training: 53%|█████▎ | 37155/70000 [13:08:49<11:50:04, 1.30s/step] Training: 53%|█████▎ | 37156/70000 [13:08:50<12:04:19, 1.32s/step] Training: 53%|█████▎ | 37157/70000 [13:08:51<11:42:22, 1.28s/step] Training: 53%|█████▎ | 37158/70000 [13:08:52<11:33:17, 1.27s/step] Training: 53%|█████▎ | 37159/70000 [13:08:54<11:20:31, 1.24s/step] Training: 53%|█████▎ | 37160/70000 [13:08:55<11:14:45, 1.23s/step] Training: 53%|█████▎ | 37161/70000 [13:08:56<11:30:12, 1.26s/step] Training: 53%|█████▎ | 37162/70000 [13:08:57<11:18:22, 1.24s/step] Training: 53%|█████▎ | 37163/70000 [13:08:59<11:51:50, 1.30s/step] Training: 53%|█████▎ | 37164/70000 [13:09:00<11:56:11, 1.31s/step] Training: 53%|█████▎ | 37165/70000 [13:09:01<11:37:26, 1.27s/step] Training: 53%|█████▎ | 37166/70000 [13:09:03<11:26:14, 1.25s/step] Training: 53%|█████▎ | 37167/70000 [13:09:04<11:15:57, 1.24s/step] Training: 53%|█████▎ | 37168/70000 [13:09:05<11:32:47, 1.27s/step] Training: 53%|█████▎ | 37169/70000 [13:09:06<11:23:26, 1.25s/step] Training: 53%|█████▎ | 37170/70000 [13:09:07<11:14:03, 1.23s/step] Training: 53%|█████▎ | 37171/70000 [13:09:09<11:39:02, 1.28s/step] Training: 53%|█████▎ | 37172/70000 [13:09:10<11:50:00, 1.30s/step] Training: 53%|█████▎ | 37173/70000 [13:09:11<11:32:32, 1.27s/step] Training: 53%|█████▎ | 37174/70000 [13:09:13<11:42:11, 1.28s/step] Training: 53%|█████▎ | 37175/70000 [13:09:14<11:26:39, 1.26s/step] Training: 53%|█████▎ | 37176/70000 [13:09:15<11:39:49, 1.28s/step] Training: 53%|█████▎ | 37177/70000 [13:09:17<11:47:58, 1.29s/step] Training: 53%|█████▎ | 37178/70000 [13:09:18<11:30:17, 1.26s/step] Training: 53%|█████▎ | 37179/70000 [13:09:19<11:26:35, 1.26s/step] Training: 53%|█████▎ | 37180/70000 [13:09:20<11:36:51, 1.27s/step] Training: 53%|█████▎ | 37181/70000 [13:09:22<11:22:50, 1.25s/step] Training: 53%|█████▎ | 37182/70000 [13:09:23<11:37:27, 1.28s/step] Training: 53%|█████▎ | 37183/70000 [13:09:24<11:23:42, 1.25s/step] Training: 53%|█████▎ | 37184/70000 [13:09:25<11:21:49, 1.25s/step] Training: 53%|█████▎ | 37185/70000 [13:09:27<11:35:45, 1.27s/step] Training: 53%|█████▎ | 37186/70000 [13:09:28<11:22:33, 1.25s/step] Training: 53%|█████▎ | 37187/70000 [13:09:29<11:35:11, 1.27s/step] Training: 53%|█████▎ | 37188/70000 [13:09:31<12:03:58, 1.32s/step] Training: 53%|█████▎ | 37189/70000 [13:09:32<11:41:50, 1.28s/step] Training: 53%|█████▎ | 37190/70000 [13:09:33<11:33:57, 1.27s/step] Training: 53%|█████▎ | 37191/70000 [13:09:34<11:20:31, 1.24s/step] Training: 53%|█████▎ | 37192/70000 [13:09:35<11:16:37, 1.24s/step] Training: 53%|█████▎ | 37193/70000 [13:09:37<11:32:36, 1.27s/step] Training: 53%|█████▎ | 37194/70000 [13:09:38<11:19:44, 1.24s/step] Training: 53%|█████▎ | 37195/70000 [13:09:39<11:33:14, 1.27s/step] Training: 53%|█████▎ | 37196/70000 [13:09:41<11:57:26, 1.31s/step] Training: 53%|█████▎ | 37197/70000 [13:09:42<11:37:10, 1.28s/step] Training: 53%|█████▎ | 37198/70000 [13:09:43<11:25:50, 1.25s/step] Training: 53%|█████▎ | 37199/70000 [13:09:44<11:15:55, 1.24s/step] Training: 53%|█████▎ | 37200/70000 [13:09:46<11:30:48, 1.26s/step]INFO 2026-03-13 09:19:38 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.53 loss:0.014 grdn:2.358 lr:1.2e-05 updt_s:1.244 data_s:0.019 Training: 53%|█████▎ | 37201/70000 [13:09:47<11:21:28, 1.25s/step] Training: 53%|█████▎ | 37202/70000 [13:09:48<11:11:53, 1.23s/step] Training: 53%|█████▎ | 37203/70000 [13:09:49<11:27:26, 1.26s/step] Training: 53%|█████▎ | 37204/70000 [13:09:51<11:44:12, 1.29s/step] Training: 53%|█████▎ | 37205/70000 [13:09:52<11:26:03, 1.26s/step] Training: 53%|█████▎ | 37206/70000 [13:09:53<11:39:10, 1.28s/step] Training: 53%|█████▎ | 37207/70000 [13:09:54<11:25:51, 1.25s/step] Training: 53%|█████▎ | 37208/70000 [13:09:56<11:38:16, 1.28s/step] Training: 53%|█████▎ | 37209/70000 [13:09:57<11:46:54, 1.29s/step] Training: 53%|█████▎ | 37210/70000 [13:09:58<11:29:38, 1.26s/step] Training: 53%|█████▎ | 37211/70000 [13:09:59<11:20:32, 1.25s/step] Training: 53%|█████▎ | 37212/70000 [13:10:01<11:42:01, 1.28s/step] Training: 53%|█████▎ | 37213/70000 [13:10:02<11:24:56, 1.25s/step] Training: 53%|█████▎ | 37214/70000 [13:10:03<11:38:41, 1.28s/step] Training: 53%|█████▎ | 37215/70000 [13:10:05<11:24:07, 1.25s/step] Training: 53%|█████▎ | 37216/70000 [13:10:06<11:21:09, 1.25s/step] Training: 53%|█████▎ | 37217/70000 [13:10:07<11:33:45, 1.27s/step] Training: 53%|█████▎ | 37218/70000 [13:10:08<11:20:03, 1.24s/step] Training: 53%|█████▎ | 37219/70000 [13:10:10<11:36:17, 1.27s/step] Training: 53%|█████▎ | 37220/70000 [13:10:11<11:51:16, 1.30s/step] Training: 53%|█████▎ | 37221/70000 [13:10:12<12:00:26, 1.32s/step] Training: 53%|█████▎ | 37222/70000 [13:10:14<11:46:23, 1.29s/step] Training: 53%|█████▎ | 37223/70000 [13:10:15<11:28:33, 1.26s/step] Training: 53%|█████▎ | 37224/70000 [13:10:16<11:20:34, 1.25s/step] Training: 53%|█████▎ | 37225/70000 [13:10:17<11:33:17, 1.27s/step] Training: 53%|█████▎ | 37226/70000 [13:10:18<11:20:44, 1.25s/step] Training: 53%|█████▎ | 37227/70000 [13:10:20<11:33:40, 1.27s/step] Training: 53%|█████▎ | 37228/70000 [13:10:21<11:42:43, 1.29s/step] Training: 53%|█████▎ | 37229/70000 [13:10:22<11:56:55, 1.31s/step] Training: 53%|█████▎ | 37230/70000 [13:10:24<11:40:37, 1.28s/step] Training: 53%|█████▎ | 37231/70000 [13:10:25<11:25:57, 1.26s/step] Training: 53%|█████▎ | 37232/70000 [13:10:26<11:38:25, 1.28s/step] Training: 53%|█████▎ | 37233/70000 [13:10:27<11:26:25, 1.26s/step] Training: 53%|█████▎ | 37234/70000 [13:10:29<11:15:43, 1.24s/step] Training: 53%|█████▎ | 37235/70000 [13:10:30<11:31:21, 1.27s/step] Training: 53%|█████▎ | 37236/70000 [13:10:31<11:44:14, 1.29s/step] Training: 53%|█████▎ | 37237/70000 [13:10:33<11:35:38, 1.27s/step] Training: 53%|█████▎ | 37238/70000 [13:10:34<11:47:05, 1.29s/step] Training: 53%|█████▎ | 37239/70000 [13:10:35<11:30:09, 1.26s/step] Training: 53%|█████▎ | 37240/70000 [13:10:36<11:40:02, 1.28s/step] Training: 53%|█████▎ | 37241/70000 [13:10:38<11:47:43, 1.30s/step] Training: 53%|█████▎ | 37242/70000 [13:10:39<11:29:52, 1.26s/step] Training: 53%|█████▎ | 37243/70000 [13:10:40<11:19:46, 1.25s/step] Training: 53%|█████▎ | 37244/70000 [13:10:41<11:34:02, 1.27s/step] Training: 53%|█████▎ | 37245/70000 [13:10:43<11:33:27, 1.27s/step] Training: 53%|█████▎ | 37246/70000 [13:10:44<11:42:09, 1.29s/step] Training: 53%|█████▎ | 37247/70000 [13:10:45<11:27:19, 1.26s/step] Training: 53%|█████▎ | 37248/70000 [13:10:47<11:45:21, 1.29s/step] Training: 53%|█████▎ | 37249/70000 [13:10:48<11:50:03, 1.30s/step] Training: 53%|█████▎ | 37250/70000 [13:10:49<11:31:32, 1.27s/step] Training: 53%|█████▎ | 37251/70000 [13:10:50<11:41:48, 1.29s/step] Training: 53%|█████▎ | 37252/70000 [13:10:52<11:56:16, 1.31s/step] Training: 53%|█████▎ | 37253/70000 [13:10:53<11:36:22, 1.28s/step] Training: 53%|█████▎ | 37254/70000 [13:10:54<11:47:36, 1.30s/step] Training: 53%|█████▎ | 37255/70000 [13:10:56<11:28:37, 1.26s/step] Training: 53%|█████▎ | 37256/70000 [13:10:57<11:20:46, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=24377 Training: 53%|█████▎ | 37257/70000 [13:10:58<11:32:49, 1.27s/step] Training: 53%|█████▎ | 37258/70000 [13:10:59<11:19:28, 1.25s/step] Training: 53%|█████▎ | 37259/70000 [13:11:01<11:32:44, 1.27s/step] Training: 53%|█████▎ | 37260/70000 [13:11:02<11:44:14, 1.29s/step] Training: 53%|█████▎ | 37261/70000 [13:11:03<11:27:09, 1.26s/step] Training: 53%|█████▎ | 37262/70000 [13:11:04<11:30:26, 1.27s/step] Training: 53%|█████▎ | 37263/70000 [13:11:06<11:18:27, 1.24s/step] Training: 53%|█████▎ | 37264/70000 [13:11:07<11:32:35, 1.27s/step] Training: 53%|█████▎ | 37265/70000 [13:11:08<11:22:10, 1.25s/step] Training: 53%|█████▎ | 37266/70000 [13:11:09<11:12:52, 1.23s/step] Training: 53%|█████▎ | 37267/70000 [13:11:11<11:28:05, 1.26s/step] Training: 53%|█████▎ | 37268/70000 [13:11:12<11:40:49, 1.28s/step] Training: 53%|█████▎ | 37269/70000 [13:11:13<11:25:27, 1.26s/step] Training: 53%|█████▎ | 37270/70000 [13:11:15<11:39:21, 1.28s/step] Training: 53%|█████▎ | 37271/70000 [13:11:16<11:58:01, 1.32s/step] Training: 53%|█████▎ | 37272/70000 [13:11:17<11:58:14, 1.32s/step] Training: 53%|█████▎ | 37273/70000 [13:11:19<11:59:16, 1.32s/step] Training: 53%|█████▎ | 37274/70000 [13:11:20<11:38:27, 1.28s/step] Training: 53%|█████▎ | 37275/70000 [13:11:21<11:28:14, 1.26s/step] Training: 53%|█████▎ | 37276/70000 [13:11:22<11:42:10, 1.29s/step] Training: 53%|█████▎ | 37277/70000 [13:11:24<11:26:12, 1.26s/step] Training: 53%|█████▎ | 37278/70000 [13:11:25<11:42:16, 1.29s/step] Training: 53%|█████▎ | 37279/70000 [13:11:26<11:24:47, 1.26s/step] Training: 53%|█████▎ | 37280/70000 [13:11:27<11:23:01, 1.25s/step] Training: 53%|█████▎ | 37281/70000 [13:11:29<11:34:05, 1.27s/step] Training: 53%|█████▎ | 37282/70000 [13:11:30<11:20:23, 1.25s/step] Training: 53%|█████▎ | 37283/70000 [13:11:31<11:35:38, 1.28s/step] Training: 53%|█████▎ | 37284/70000 [13:11:33<11:52:34, 1.31s/step] Training: 53%|█████▎ | 37285/70000 [13:11:34<11:33:11, 1.27s/step] Training: 53%|█████▎ | 37286/70000 [13:11:35<11:27:07, 1.26s/step] Training: 53%|█████▎ | 37287/70000 [13:11:36<11:41:09, 1.29s/step] Training: 53%|█████▎ | 37288/70000 [13:11:38<11:29:51, 1.27s/step] Training: 53%|█████▎ | 37289/70000 [13:11:39<11:41:20, 1.29s/step] Training: 53%|█████▎ | 37290/70000 [13:11:40<11:25:27, 1.26s/step] Training: 53%|█████▎ | 37291/70000 [13:11:41<11:38:04, 1.28s/step] Training: 53%|█████▎ | 37292/70000 [13:11:43<11:46:15, 1.30s/step] Training: 53%|█████▎ | 37293/70000 [13:11:44<11:28:52, 1.26s/step] Training: 53%|█████▎ | 37294/70000 [13:11:45<11:18:29, 1.24s/step] Training: 53%|█████▎ | 37295/70000 [13:11:46<11:35:04, 1.28s/step] Training: 53%|█████▎ | 37296/70000 [13:11:48<11:43:11, 1.29s/step] Training: 53%|█████▎ | 37297/70000 [13:11:49<11:27:48, 1.26s/step] Training: 53%|█████▎ | 37298/70000 [13:11:50<11:16:42, 1.24s/step] Training: 53%|█████▎ | 37299/70000 [13:11:51<11:14:34, 1.24s/step] Training: 53%|█████▎ | 37300/70000 [13:11:53<11:37:52, 1.28s/step]INFO 2026-03-13 09:21:45 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.62 loss:0.014 grdn:1.425 lr:1.2e-05 updt_s:1.250 data_s:0.019 Training: 53%|█████▎ | 37301/70000 [13:11:54<11:22:58, 1.25s/step] Training: 53%|█████▎ | 37302/70000 [13:11:55<11:34:39, 1.27s/step] Training: 53%|█████▎ | 37303/70000 [13:11:56<11:22:39, 1.25s/step] Training: 53%|█████▎ | 37304/70000 [13:11:58<11:32:34, 1.27s/step] Training: 53%|█████▎ | 37305/70000 [13:11:59<11:40:27, 1.29s/step] Training: 53%|█████▎ | 37306/70000 [13:12:00<11:24:40, 1.26s/step] Training: 53%|█████▎ | 37307/70000 [13:12:01<11:16:42, 1.24s/step] Training: 53%|█████▎ | 37308/70000 [13:12:03<11:33:50, 1.27s/step] Training: 53%|█████▎ | 37309/70000 [13:12:04<11:19:49, 1.25s/step] Training: 53%|█████▎ | 37310/70000 [13:12:05<11:32:57, 1.27s/step] Training: 53%|█████▎ | 37311/70000 [13:12:07<11:29:42, 1.27s/step] Training: 53%|█████▎ | 37312/70000 [13:12:08<11:23:54, 1.26s/step] Training: 53%|█████▎ | 37313/70000 [13:12:09<11:35:53, 1.28s/step] Training: 53%|█████▎ | 37314/70000 [13:12:10<11:21:14, 1.25s/step] Training: 53%|█████▎ | 37315/70000 [13:12:12<11:33:44, 1.27s/step] Training: 53%|█████▎ | 37316/70000 [13:12:13<11:48:13, 1.30s/step] Training: 53%|█████▎ | 37317/70000 [13:12:14<11:30:20, 1.27s/step] Training: 53%|█████▎ | 37318/70000 [13:12:15<11:24:48, 1.26s/step] Training: 53%|█████▎ | 37319/70000 [13:12:17<11:23:23, 1.25s/step] Training: 53%|█████▎ | 37320/70000 [13:12:18<11:19:12, 1.25s/step] Training: 53%|█████▎ | 37321/70000 [13:12:19<11:31:53, 1.27s/step] Training: 53%|█████▎ | 37322/70000 [13:12:20<11:19:37, 1.25s/step] Training: 53%|█████▎ | 37323/70000 [13:12:22<11:31:11, 1.27s/step] Training: 53%|█████▎ | 37324/70000 [13:12:23<11:41:37, 1.29s/step] Training: 53%|█████▎ | 37325/70000 [13:12:24<11:24:58, 1.26s/step] Training: 53%|█████▎ | 37326/70000 [13:12:26<11:17:47, 1.24s/step] Training: 53%|█████▎ | 37327/70000 [13:12:27<11:09:05, 1.23s/step] Training: 53%|█████▎ | 37328/70000 [13:12:28<11:43:47, 1.29s/step] Training: 53%|█████▎ | 37329/70000 [13:12:29<11:27:59, 1.26s/step] Training: 53%|█████▎ | 37330/70000 [13:12:31<11:15:34, 1.24s/step] Training: 53%|█████▎ | 37331/70000 [13:12:32<11:14:20, 1.24s/step] Training: 53%|█████▎ | 37332/70000 [13:12:33<11:35:14, 1.28s/step] Training: 53%|█████▎ | 37333/70000 [13:12:34<11:20:47, 1.25s/step] Training: 53%|█████▎ | 37334/70000 [13:12:36<11:33:17, 1.27s/step] Training: 53%|█████▎ | 37335/70000 [13:12:37<11:22:55, 1.25s/step] Training: 53%|█████▎ | 37336/70000 [13:12:38<11:48:50, 1.30s/step] Training: 53%|█████▎ | 37337/70000 [13:12:40<11:53:01, 1.31s/step] Training: 53%|█████▎ | 37338/70000 [13:12:41<11:33:13, 1.27s/step] Training: 53%|█████▎ | 37339/70000 [13:12:42<11:26:13, 1.26s/step] Training: 53%|█████▎ | 37340/70000 [13:12:43<11:36:52, 1.28s/step] Training: 53%|█████▎ | 37341/70000 [13:12:45<11:21:35, 1.25s/step] Training: 53%|█████▎ | 37342/70000 [13:12:46<11:32:54, 1.27s/step] Training: 53%|█████▎ | 37343/70000 [13:12:47<11:20:14, 1.25s/step] Training: 53%|█████▎ | 37344/70000 [13:12:48<11:40:59, 1.29s/step] Training: 53%|█████▎ | 37345/70000 [13:12:50<11:44:52, 1.30s/step] Training: 53%|█████▎ | 37346/70000 [13:12:51<11:27:26, 1.26s/step] Training: 53%|█████▎ | 37347/70000 [13:12:52<11:16:29, 1.24s/step] Training: 53%|█████▎ | 37348/70000 [13:12:54<11:46:31, 1.30s/step] Training: 53%|█████▎ | 37349/70000 [13:12:55<11:28:51, 1.27s/step] Training: 53%|█████▎ | 37350/70000 [13:12:56<11:24:14, 1.26s/step] Training: 53%|█████▎ | 37351/70000 [13:12:57<11:13:53, 1.24s/step] Training: 53%|█████▎ | 37352/70000 [13:12:59<11:33:09, 1.27s/step] Training: 53%|█████▎ | 37353/70000 [13:13:00<11:39:38, 1.29s/step] Training: 53%|█████▎ | 37354/70000 [13:13:01<11:23:14, 1.26s/step] Training: 53%|█████▎ | 37355/70000 [13:13:02<11:35:34, 1.28s/step] Training: 53%|█████▎ | 37356/70000 [13:13:04<11:44:04, 1.29s/step] Training: 53%|█████▎ | 37357/70000 [13:13:05<11:26:34, 1.26s/step] Training: 53%|█████▎ | 37358/70000 [13:13:06<11:18:15, 1.25s/step] Training: 53%|█████▎ | 37359/70000 [13:13:07<11:10:03, 1.23s/step] Training: 53%|█████▎ | 37360/70000 [13:13:08<11:02:55, 1.22s/step] Training: 53%|█████▎ | 37361/70000 [13:13:10<11:22:12, 1.25s/step] Training: 53%|█████▎ | 37362/70000 [13:13:11<11:10:52, 1.23s/step] Training: 53%|█████▎ | 37363/70000 [13:13:12<11:06:11, 1.22s/step] Training: 53%|█████▎ | 37364/70000 [13:13:14<11:30:52, 1.27s/step] Training: 53%|█████▎ | 37365/70000 [13:13:15<11:17:06, 1.24s/step] Training: 53%|█████▎ | 37366/70000 [13:13:16<11:32:30, 1.27s/step] Training: 53%|█████▎ | 37367/70000 [13:13:17<11:19:04, 1.25s/step] Training: 53%|█████▎ | 37368/70000 [13:13:19<11:34:53, 1.28s/step] Training: 53%|█████▎ | 37369/70000 [13:13:20<11:56:13, 1.32s/step] Training: 53%|█████▎ | 37370/70000 [13:13:21<11:34:54, 1.28s/step] Training: 53%|█████▎ | 37371/70000 [13:13:22<11:27:22, 1.26s/step] Training: 53%|█████▎ | 37372/70000 [13:13:24<11:37:58, 1.28s/step] Training: 53%|█████▎ | 37373/70000 [13:13:25<11:44:26, 1.30s/step] Training: 53%|█████▎ | 37374/70000 [13:13:26<11:52:02, 1.31s/step] Training: 53%|█████▎ | 37375/70000 [13:13:28<11:32:59, 1.27s/step] Training: 53%|█████▎ | 37376/70000 [13:13:29<11:21:25, 1.25s/step] Training: 53%|█████▎ | 37377/70000 [13:13:30<11:49:36, 1.31s/step] Training: 53%|█████▎ | 37378/70000 [13:13:31<11:31:18, 1.27s/step] Training: 53%|█████▎ | 37379/70000 [13:13:33<11:18:41, 1.25s/step] Training: 53%|█████▎ | 37380/70000 [13:13:34<11:45:59, 1.30s/step] Training: 53%|█████▎ | 37381/70000 [13:13:35<11:47:03, 1.30s/step] Training: 53%|█████▎ | 37382/70000 [13:13:37<11:37:21, 1.28s/step] Training: 53%|█████▎ | 37383/70000 [13:13:38<11:22:13, 1.25s/step] Training: 53%|█████▎ | 37384/70000 [13:13:39<11:17:48, 1.25s/step] Training: 53%|█████▎ | 37385/70000 [13:13:40<11:36:01, 1.28s/step] Training: 53%|█████▎ | 37386/70000 [13:13:42<11:19:26, 1.25s/step] Training: 53%|█████▎ | 37387/70000 [13:13:43<11:31:32, 1.27s/step] Training: 53%|█████▎ | 37388/70000 [13:13:44<11:40:40, 1.29s/step] Training: 53%|█████▎ | 37389/70000 [13:13:45<11:24:52, 1.26s/step] Training: 53%|█████▎ | 37390/70000 [13:13:47<11:17:00, 1.25s/step] Training: 53%|█████▎ | 37391/70000 [13:13:48<11:09:10, 1.23s/step] Training: 53%|█████▎ | 37392/70000 [13:13:49<11:02:19, 1.22s/step] Training: 53%|█████▎ | 37393/70000 [13:13:50<11:18:58, 1.25s/step] Training: 53%|█████▎ | 37394/70000 [13:13:52<11:08:38, 1.23s/step] Training: 53%|█████▎ | 37395/70000 [13:13:53<11:04:45, 1.22s/step] Training: 53%|█████▎ | 37396/70000 [13:13:54<11:26:52, 1.26s/step] Training: 53%|█████▎ | 37397/70000 [13:13:55<11:34:23, 1.28s/step] Training: 53%|█████▎ | 37398/70000 [13:13:57<11:42:20, 1.29s/step] Training: 53%|█████▎ | 37399/70000 [13:13:58<11:26:09, 1.26s/step] Training: 53%|█████▎ | 37400/70000 [13:13:59<11:37:29, 1.28s/step]INFO 2026-03-13 09:23:51 ot_train.py:435 step:37K smpl:2M ep:8K epch:31.70 loss:0.014 grdn:2.569 lr:1.2e-05 updt_s:1.244 data_s:0.019 Training: 53%|█████▎ | 37401/70000 [13:14:01<11:44:48, 1.30s/step] Training: 53%|█████▎ | 37402/70000 [13:14:02<11:52:39, 1.31s/step] Training: 53%|█████▎ | 37403/70000 [13:14:03<11:38:22, 1.29s/step] Training: 53%|█████▎ | 37404/70000 [13:14:04<11:45:05, 1.30s/step] Training: 53%|█████▎ | 37405/70000 [13:14:06<11:49:36, 1.31s/step] Training: 53%|█████▎ | 37406/70000 [13:14:07<11:53:45, 1.31s/step] Training: 53%|█████▎ | 37407/70000 [13:14:08<11:34:14, 1.28s/step] Training: 53%|█████▎ | 37408/70000 [13:14:10<11:21:34, 1.25s/step] Training: 53%|█████▎ | 37409/70000 [13:14:11<11:32:39, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=50775 Training: 53%|█████▎ | 37410/70000 [13:14:12<11:39:17, 1.29s/step] Training: 53%|█████▎ | 37411/70000 [13:14:13<11:22:10, 1.26s/step] Training: 53%|█████▎ | 37412/70000 [13:14:15<11:50:47, 1.31s/step] Training: 53%|█████▎ | 37413/70000 [13:14:16<11:34:57, 1.28s/step] Training: 53%|█████▎ | 37414/70000 [13:14:17<11:27:08, 1.27s/step] Training: 53%|█████▎ | 37415/70000 [13:14:18<11:15:59, 1.24s/step] Training: 53%|█████▎ | 37416/70000 [13:14:20<11:12:08, 1.24s/step] Training: 53%|█████▎ | 37417/70000 [13:14:21<11:25:36, 1.26s/step] Training: 53%|█████▎ | 37418/70000 [13:14:22<11:39:17, 1.29s/step] Training: 53%|█████▎ | 37419/70000 [13:14:24<11:45:17, 1.30s/step] Training: 53%|█████▎ | 37420/70000 [13:14:25<11:50:29, 1.31s/step] Training: 53%|█████▎ | 37421/70000 [13:14:26<11:52:43, 1.31s/step] Training: 53%|█████▎ | 37422/70000 [13:14:28<11:35:49, 1.28s/step] Training: 53%|█████▎ | 37423/70000 [13:14:29<11:20:30, 1.25s/step] Training: 53%|█████▎ | 37424/70000 [13:14:30<11:09:40, 1.23s/step] Training: 53%|█████▎ | 37425/70000 [13:14:31<11:22:05, 1.26s/step] Training: 53%|█████▎ | 37426/70000 [13:14:32<11:11:31, 1.24s/step] Training: 53%|█████▎ | 37427/70000 [13:14:34<11:29:05, 1.27s/step] Training: 53%|█████▎ | 37428/70000 [13:14:35<11:45:16, 1.30s/step] Training: 53%|█████▎ | 37429/70000 [13:14:36<11:49:50, 1.31s/step] Training: 53%|█████▎ | 37430/70000 [13:14:38<11:52:45, 1.31s/step] Training: 53%|█████▎ | 37431/70000 [13:14:39<11:32:26, 1.28s/step] Training: 53%|█████▎ | 37432/70000 [13:14:40<11:40:23, 1.29s/step] Training: 53%|█████▎ | 37433/70000 [13:14:42<11:45:36, 1.30s/step] Training: 53%|█████▎ | 37434/70000 [13:14:43<11:27:35, 1.27s/step] Training: 53%|█████▎ | 37435/70000 [13:14:44<11:40:31, 1.29s/step] Training: 53%|█████▎ | 37436/70000 [13:14:45<11:45:33, 1.30s/step] Training: 53%|█████▎ | 37437/70000 [13:14:47<11:34:02, 1.28s/step] Training: 53%|█████▎ | 37438/70000 [13:14:48<11:41:45, 1.29s/step] Training: 53%|█████▎ | 37439/70000 [13:14:49<11:24:52, 1.26s/step] Training: 53%|█████▎ | 37440/70000 [13:14:50<11:14:42, 1.24s/step] Training: 53%|█████▎ | 37441/70000 [13:14:52<11:28:06, 1.27s/step] Training: 53%|█████▎ | 37442/70000 [13:14:53<11:14:59, 1.24s/step] Training: 53%|█████▎ | 37443/70000 [13:14:54<11:05:36, 1.23s/step] Training: 53%|█████▎ | 37444/70000 [13:14:56<11:36:06, 1.28s/step] Training: 53%|█████▎ | 37445/70000 [13:14:57<11:24:35, 1.26s/step] Training: 53%|█████▎ | 37446/70000 [13:14:58<11:19:59, 1.25s/step] Training: 53%|█████▎ | 37447/70000 [13:14:59<11:09:23, 1.23s/step] Training: 53%|█████▎ | 37448/70000 [13:15:00<11:09:32, 1.23s/step] Training: 53%|█████▎ | 37449/70000 [13:15:02<11:24:26, 1.26s/step] Training: 54%|█████▎ | 37450/70000 [13:15:03<11:13:33, 1.24s/step] Training: 54%|█████▎ | 37451/70000 [13:15:04<11:35:04, 1.28s/step] Training: 54%|█████▎ | 37452/70000 [13:15:06<11:43:50, 1.30s/step] Training: 54%|█████▎ | 37453/70000 [13:15:07<11:49:23, 1.31s/step] Training: 54%|█████▎ | 37454/70000 [13:15:08<11:34:20, 1.28s/step] Training: 54%|█████▎ | 37455/70000 [13:15:09<11:20:12, 1.25s/step] Training: 54%|█████▎ | 37456/70000 [13:15:11<11:09:18, 1.23s/step] Training: 54%|█████▎ | 37457/70000 [13:15:12<11:21:37, 1.26s/step] Training: 54%|█████▎ | 37458/70000 [13:15:13<11:11:01, 1.24s/step] Training: 54%|█████▎ | 37459/70000 [13:15:14<11:16:21, 1.25s/step] Training: 54%|█████▎ | 37460/70000 [13:15:16<11:29:53, 1.27s/step] Training: 54%|█████▎ | 37461/70000 [13:15:17<11:16:05, 1.25s/step] Training: 54%|█████▎ | 37462/70000 [13:15:18<11:48:44, 1.31s/step] Training: 54%|█████▎ | 37463/70000 [13:15:19<11:30:31, 1.27s/step] Training: 54%|█████▎ | 37464/70000 [13:15:21<11:17:27, 1.25s/step] Training: 54%|█████▎ | 37465/70000 [13:15:22<11:31:29, 1.28s/step] Training: 54%|█████▎ | 37466/70000 [13:15:23<11:17:26, 1.25s/step] Training: 54%|█████▎ | 37467/70000 [13:15:24<11:15:02, 1.24s/step] Training: 54%|█████▎ | 37468/70000 [13:15:26<11:45:04, 1.30s/step] Training: 54%|█████▎ | 37469/70000 [13:15:27<11:26:58, 1.27s/step] Training: 54%|█████▎ | 37470/70000 [13:15:28<11:54:36, 1.32s/step] Training: 54%|█████▎ | 37471/70000 [13:15:30<11:34:08, 1.28s/step] Training: 54%|█████▎ | 37472/70000 [13:15:31<11:27:13, 1.27s/step] Training: 54%|█████▎ | 37473/70000 [13:15:32<11:37:47, 1.29s/step] Training: 54%|█████▎ | 37474/70000 [13:15:33<11:21:51, 1.26s/step] Training: 54%|█████▎ | 37475/70000 [13:15:35<11:11:16, 1.24s/step] Training: 54%|█████▎ | 37476/70000 [13:15:36<11:25:41, 1.26s/step] Training: 54%|█████▎ | 37477/70000 [13:15:37<11:30:25, 1.27s/step] Training: 54%|█████▎ | 37478/70000 [13:15:38<11:25:35, 1.26s/step] Training: 54%|█████▎ | 37479/70000 [13:15:40<11:13:15, 1.24s/step] Training: 54%|█████▎ | 37480/70000 [13:15:41<11:07:33, 1.23s/step] Training: 54%|█████▎ | 37481/70000 [13:15:42<11:23:13, 1.26s/step] Training: 54%|█████▎ | 37482/70000 [13:15:43<11:12:04, 1.24s/step] Training: 54%|█████▎ | 37483/70000 [13:15:45<11:27:57, 1.27s/step] Training: 54%|█████▎ | 37484/70000 [13:15:46<11:36:57, 1.29s/step] Training: 54%|█████▎ | 37485/70000 [13:15:47<11:45:48, 1.30s/step] Training: 54%|█████▎ | 37486/70000 [13:15:49<11:30:53, 1.27s/step] Training: 54%|█████▎ | 37487/70000 [13:15:50<11:19:21, 1.25s/step] Training: 54%|█████▎ | 37488/70000 [13:15:51<11:32:38, 1.28s/step] Training: 54%|█████▎ | 37489/70000 [13:15:52<11:21:59, 1.26s/step] Training: 54%|█████▎ | 37490/70000 [13:15:54<11:11:28, 1.24s/step] Training: 54%|█████▎ | 37491/70000 [13:15:55<11:06:58, 1.23s/step] Training: 54%|█████▎ | 37492/70000 [13:15:56<11:31:08, 1.28s/step] Training: 54%|█████▎ | 37493/70000 [13:15:57<11:16:02, 1.25s/step] Training: 54%|█████▎ | 37494/70000 [13:15:59<11:35:16, 1.28s/step] Training: 54%|█████▎ | 37495/70000 [13:16:00<11:20:08, 1.26s/step] Training: 54%|█████▎ | 37496/70000 [13:16:01<11:32:32, 1.28s/step] Training: 54%|█████▎ | 37497/70000 [13:16:03<11:41:06, 1.29s/step] Training: 54%|█████▎ | 37498/70000 [13:16:04<11:24:01, 1.26s/step] Training: 54%|█████▎ | 37499/70000 [13:16:05<11:18:18, 1.25s/step] Training: 54%|█████▎ | 37500/70000 [13:16:06<11:29:47, 1.27s/step]INFO 2026-03-13 09:25:58 ot_train.py:435 step:38K smpl:2M ep:8K epch:31.79 loss:0.015 grdn:1.691 lr:1.2e-05 updt_s:1.249 data_s:0.019 Training: 54%|█████▎ | 37501/70000 [13:16:08<11:40:22, 1.29s/step] Training: 54%|█████▎ | 37502/70000 [13:16:09<11:44:42, 1.30s/step] Training: 54%|█████▎ | 37503/70000 [13:16:10<11:27:18, 1.27s/step] Training: 54%|█████▎ | 37504/70000 [13:16:11<11:20:17, 1.26s/step] Training: 54%|█████▎ | 37505/70000 [13:16:13<11:32:33, 1.28s/step] Training: 54%|█████▎ | 37506/70000 [13:16:14<11:18:05, 1.25s/step] Training: 54%|█████▎ | 37507/70000 [13:16:15<11:10:12, 1.24s/step] Training: 54%|█████▎ | 37508/70000 [13:16:16<11:22:48, 1.26s/step] Training: 54%|█████▎ | 37509/70000 [13:16:18<11:48:55, 1.31s/step] Training: 54%|█████▎ | 37510/70000 [13:16:19<11:56:58, 1.32s/step] Training: 54%|█████▎ | 37511/70000 [13:16:20<11:36:12, 1.29s/step] Training: 54%|█████▎ | 37512/70000 [13:16:22<11:24:37, 1.26s/step] Training: 54%|█████▎ | 37513/70000 [13:16:23<11:34:18, 1.28s/step] Training: 54%|█████▎ | 37514/70000 [13:16:24<11:20:13, 1.26s/step] Training: 54%|█████▎ | 37515/70000 [13:16:25<11:09:49, 1.24s/step] Training: 54%|█████▎ | 37516/70000 [13:16:27<11:24:48, 1.26s/step] Training: 54%|█████▎ | 37517/70000 [13:16:28<11:12:54, 1.24s/step] Training: 54%|█████▎ | 37518/70000 [13:16:29<11:26:30, 1.27s/step] Training: 54%|█████▎ | 37519/70000 [13:16:30<11:13:34, 1.24s/step] Training: 54%|█████▎ | 37520/70000 [13:16:32<11:26:18, 1.27s/step] Training: 54%|█████▎ | 37521/70000 [13:16:33<11:18:13, 1.25s/step] Training: 54%|█████▎ | 37522/70000 [13:16:34<11:08:25, 1.23s/step] Training: 54%|█████▎ | 37523/70000 [13:16:35<11:07:41, 1.23s/step] Training: 54%|█████▎ | 37524/70000 [13:16:37<11:26:00, 1.27s/step] Training: 54%|█████▎ | 37525/70000 [13:16:38<11:19:59, 1.26s/step] Training: 54%|█████▎ | 37526/70000 [13:16:39<11:15:40, 1.25s/step] Training: 54%|█████▎ | 37527/70000 [13:16:40<11:28:13, 1.27s/step] Training: 54%|█████▎ | 37528/70000 [13:16:42<11:37:56, 1.29s/step] Training: 54%|█████▎ | 37529/70000 [13:16:43<11:44:11, 1.30s/step] Training: 54%|█████▎ | 37530/70000 [13:16:44<11:25:59, 1.27s/step] Training: 54%|█████▎ | 37531/70000 [13:16:46<11:16:41, 1.25s/step] Training: 54%|█████▎ | 37532/70000 [13:16:47<11:29:22, 1.27s/step] Training: 54%|█████▎ | 37533/70000 [13:16:48<11:23:19, 1.26s/step] Training: 54%|█████▎ | 37534/70000 [13:16:49<11:14:21, 1.25s/step] Training: 54%|█████▎ | 37535/70000 [13:16:51<11:14:27, 1.25s/step] Training: 54%|█████▎ | 37536/70000 [13:16:52<11:11:37, 1.24s/step] Training: 54%|█████▎ | 37537/70000 [13:16:53<11:26:09, 1.27s/step] Training: 54%|█████▎ | 37538/70000 [13:16:54<11:12:44, 1.24s/step] Training: 54%|█████▎ | 37539/70000 [13:16:56<11:25:56, 1.27s/step] Training: 54%|█████▎ | 37540/70000 [13:16:57<11:18:55, 1.25s/step] Training: 54%|█████▎ | 37541/70000 [13:16:58<11:27:36, 1.27s/step] Training: 54%|█████▎ | 37542/70000 [13:17:00<11:55:26, 1.32s/step] Training: 54%|█████▎ | 37543/70000 [13:17:01<11:36:48, 1.29s/step] Training: 54%|█████▎ | 37544/70000 [13:17:02<11:27:13, 1.27s/step] Training: 54%|█████▎ | 37545/70000 [13:17:03<11:37:45, 1.29s/step] Training: 54%|█████▎ | 37546/70000 [13:17:05<11:21:03, 1.26s/step] Training: 54%|█████▎ | 37547/70000 [13:17:06<11:33:45, 1.28s/step] Training: 54%|█████▎ | 37548/70000 [13:17:07<11:41:30, 1.30s/step] Training: 54%|█████▎ | 37549/70000 [13:17:08<11:23:36, 1.26s/step] Training: 54%|█████▎ | 37550/70000 [13:17:10<11:49:30, 1.31s/step] Training: 54%|█████▎ | 37551/70000 [13:17:11<11:53:38, 1.32s/step] Training: 54%|█████▎ | 37552/70000 [13:17:12<11:33:02, 1.28s/step] Training: 54%|█████▎ | 37553/70000 [13:17:14<11:38:23, 1.29s/step] Training: 54%|█████▎ | 37554/70000 [13:17:15<11:22:15, 1.26s/step] Training: 54%|█████▎ | 37555/70000 [13:17:16<11:16:48, 1.25s/step] Training: 54%|█████▎ | 37556/70000 [13:17:17<11:31:35, 1.28s/step] Training: 54%|█████▎ | 37557/70000 [13:17:19<11:17:28, 1.25s/step] Training: 54%|█████▎ | 37558/70000 [13:17:20<11:33:07, 1.28s/step] Training: 54%|█████▎ | 37559/70000 [13:17:21<11:38:38, 1.29s/step] Training: 54%|█████▎ | 37560/70000 [13:17:23<11:44:56, 1.30s/step] Training: 54%|█████▎ | 37561/70000 [13:17:24<11:48:42, 1.31s/step] Training: 54%|█████▎ | 37562/70000 [13:17:25<11:28:33, 1.27s/step] Training: 54%|█████▎ | 37563/70000 [13:17:26<11:18:45, 1.26s/step] Training: 54%|█████▎ | 37564/70000 [13:17:28<11:30:49, 1.28s/step] Training: 54%|█████▎ | 37565/70000 [13:17:29<11:16:40, 1.25s/step] Training: 54%|█████▎ | 37566/70000 [13:17:30<11:37:32, 1.29s/step] Training: 54%|█████▎ | 37567/70000 [13:17:32<11:43:53, 1.30s/step] Training: 54%|█████▎ | 37568/70000 [13:17:33<11:29:36, 1.28s/step] Training: 54%|█████▎ | 37569/70000 [13:17:34<11:37:54, 1.29s/step] Training: 54%|█████▎ | 37570/70000 [13:17:35<11:21:38, 1.26s/step] Training: 54%|█████▎ | 37571/70000 [13:17:37<11:33:00, 1.28s/step] Training: 54%|█████▎ | 37572/70000 [13:17:38<11:25:43, 1.27s/step] Training: 54%|█████▎ | 37573/70000 [13:17:39<11:35:32, 1.29s/step] Training: 54%|█████▎ | 37574/70000 [13:17:40<11:20:05, 1.26s/step] Training: 54%|█████▎ | 37575/70000 [13:17:42<11:33:18, 1.28s/step] Training: 54%|█████▎ | 37576/70000 [13:17:43<11:23:00, 1.26s/step] Training: 54%|█████▎ | 37577/70000 [13:17:44<11:32:29, 1.28s/step] Training: 54%|█████▎ | 37578/70000 [13:17:45<11:17:05, 1.25s/step] Training: 54%|█████▎ | 37579/70000 [13:17:47<11:29:46, 1.28s/step] Training: 54%|█████▎ | 37580/70000 [13:17:48<12:02:27, 1.34s/step] Training: 54%|█████▎ | 37581/70000 [13:17:49<11:39:05, 1.29s/step] Training: 54%|█████▎ | 37582/70000 [13:17:51<11:21:50, 1.26s/step] Training: 54%|█████▎ | 37583/70000 [13:17:52<11:53:41, 1.32s/step] Training: 54%|█████▎ | 37584/70000 [13:17:53<11:32:50, 1.28s/step] Training: 54%|█████▎ | 37585/70000 [13:17:55<11:37:55, 1.29s/step] Training: 54%|█████▎ | 37586/70000 [13:17:56<11:21:55, 1.26s/step] Training: 54%|█████▎ | 37587/70000 [13:17:57<11:17:05, 1.25s/step] Training: 54%|█████▎ | 37588/70000 [13:17:58<11:30:18, 1.28s/step] Training: 54%|█████▎ | 37589/70000 [13:18:00<11:16:16, 1.25s/step] Training: 54%|█████▎ | 37590/70000 [13:18:01<11:08:31, 1.24s/step] Training: 54%|█████▎ | 37591/70000 [13:18:02<11:24:15, 1.27s/step] Training: 54%|█████▎ | 37592/70000 [13:18:03<11:13:12, 1.25s/step] Training: 54%|█████▎ | 37593/70000 [13:18:05<11:25:27, 1.27s/step] Training: 54%|█████▎ | 37594/70000 [13:18:06<11:12:58, 1.25s/step] Training: 54%|█████▎ | 37595/70000 [13:18:07<11:07:35, 1.24s/step] Training: 54%|█████▎ | 37596/70000 [13:18:08<11:24:08, 1.27s/step] Training: 54%|█████▎ | 37597/70000 [13:18:10<11:11:35, 1.24s/step] Training: 54%|█████▎ | 37598/70000 [13:18:11<11:11:08, 1.24s/step] Training: 54%|█████▎ | 37599/70000 [13:18:12<11:36:30, 1.29s/step] Training: 54%|█████▎ | 37600/70000 [13:18:13<11:26:49, 1.27s/step]INFO 2026-03-13 09:28:06 ot_train.py:435 step:38K smpl:2M ep:8K epch:31.87 loss:0.014 grdn:1.620 lr:1.2e-05 updt_s:1.250 data_s:0.019 Training: 54%|█████▎ | 37601/70000 [13:18:15<11:39:12, 1.29s/step] Training: 54%|█████▎ | 37602/70000 [13:18:16<11:22:00, 1.26s/step] Training: 54%|█████▎ | 37603/70000 [13:18:17<11:32:06, 1.28s/step] Training: 54%|█████▎ | 37604/70000 [13:18:19<11:26:44, 1.27s/step] Training: 54%|█████▎ | 37605/70000 [13:18:20<11:13:46, 1.25s/step] Training: 54%|█████▎ | 37606/70000 [13:18:21<11:04:13, 1.23s/step] Training: 54%|█████▎ | 37607/70000 [13:18:22<11:18:17, 1.26s/step] Training: 54%|█████▎ | 37608/70000 [13:18:23<11:09:36, 1.24s/step] Training: 54%|█████▎ | 37609/70000 [13:18:25<11:24:17, 1.27s/step] Training: 54%|█████▎ | 37610/70000 [13:18:26<11:11:31, 1.24s/step] Training: 54%|█████▎ | 37611/70000 [13:18:27<11:25:29, 1.27s/step] Training: 54%|█████▎ | 37612/70000 [13:18:29<11:36:59, 1.29s/step] Training: 54%|█████▎ | 37613/70000 [13:18:30<11:20:13, 1.26s/step] Training: 54%|█████▎ | 37614/70000 [13:18:31<11:30:36, 1.28s/step] Training: 54%|█████▎ | 37615/70000 [13:18:32<11:39:28, 1.30s/step] Training: 54%|█████▎ | 37616/70000 [13:18:34<11:58:10, 1.33s/step] Training: 54%|█████▎ | 37617/70000 [13:18:35<11:39:50, 1.30s/step] Training: 54%|█████▎ | 37618/70000 [13:18:36<11:22:41, 1.26s/step] Training: 54%|█████▎ | 37619/70000 [13:18:38<11:17:01, 1.25s/step] Training: 54%|█████▎ | 37620/70000 [13:18:39<11:31:25, 1.28s/step] Training: 54%|█████▎ | 37621/70000 [13:18:40<11:16:32, 1.25s/step] Training: 54%|█████▎ | 37622/70000 [13:18:41<11:08:43, 1.24s/step] Training: 54%|█████▎ | 37623/70000 [13:18:43<11:22:43, 1.27s/step] Training: 54%|█████▎ | 37624/70000 [13:18:44<11:48:21, 1.31s/step] Training: 54%|█████▍ | 37625/70000 [13:18:45<11:48:52, 1.31s/step] Training: 54%|█████▍ | 37626/70000 [13:18:47<11:28:30, 1.28s/step] Training: 54%|█████▍ | 37627/70000 [13:18:48<11:16:33, 1.25s/step] Training: 54%|█████▍ | 37628/70000 [13:18:49<11:29:20, 1.28s/step] Training: 54%|█████▍ | 37629/70000 [13:18:50<11:15:41, 1.25s/step] Training: 54%|█████▍ | 37630/70000 [13:18:51<11:11:25, 1.24s/step] Training: 54%|█████▍ | 37631/70000 [13:18:53<11:25:37, 1.27s/step] Training: 54%|█████▍ | 37632/70000 [13:18:54<11:47:36, 1.31s/step] Training: 54%|█████▍ | 37633/70000 [13:18:56<11:49:42, 1.32s/step] Training: 54%|█████▍ | 37634/70000 [13:18:57<11:29:31, 1.28s/step] Training: 54%|█████▍ | 37635/70000 [13:18:58<11:37:25, 1.29s/step] Training: 54%|█████▍ | 37636/70000 [13:18:59<11:32:38, 1.28s/step] Training: 54%|█████▍ | 37637/70000 [13:19:01<11:17:36, 1.26s/step] Training: 54%|█████▍ | 37638/70000 [13:19:02<11:06:48, 1.24s/step] Training: 54%|█████▍ | 37639/70000 [13:19:03<11:20:06, 1.26s/step] Training: 54%|█████▍ | 37640/70000 [13:19:04<11:35:24, 1.29s/step] Training: 54%|█████▍ | 37641/70000 [13:19:06<11:39:18, 1.30s/step] Training: 54%|█████▍ | 37642/70000 [13:19:07<11:22:07, 1.26s/step] Training: 54%|█████▍ | 37643/70000 [13:19:08<11:32:22, 1.28s/step] Training: 54%|█████▍ | 37644/70000 [13:19:10<11:40:45, 1.30s/step] Training: 54%|█████▍ | 37645/70000 [13:19:11<11:22:34, 1.27s/step] Training: 54%|█████▍ | 37646/70000 [13:19:12<11:10:48, 1.24s/step] Training: 54%|█████▍ | 37647/70000 [13:19:13<11:23:36, 1.27s/step] Training: 54%|█████▍ | 37648/70000 [13:19:15<11:33:18, 1.29s/step] Training: 54%|█████▍ | 37649/70000 [13:19:16<11:42:23, 1.30s/step] Training: 54%|█████▍ | 37650/70000 [13:19:17<11:22:26, 1.27s/step] Training: 54%|█████▍ | 37651/70000 [13:19:18<11:16:26, 1.25s/step] Training: 54%|█████▍ | 37652/70000 [13:19:20<11:28:50, 1.28s/step] Training: 54%|█████▍ | 37653/70000 [13:19:21<11:14:47, 1.25s/step] Training: 54%|█████▍ | 37654/70000 [13:19:22<11:10:21, 1.24s/step] Training: 54%|█████▍ | 37655/70000 [13:19:23<11:23:58, 1.27s/step] Training: 54%|█████▍ | 37656/70000 [13:19:25<11:33:24, 1.29s/step] Training: 54%|█████▍ | 37657/70000 [13:19:26<11:52:54, 1.32s/step] Training: 54%|█████▍ | 37658/70000 [13:19:27<11:31:07, 1.28s/step] Training: 54%|█████▍ | 37659/70000 [13:19:29<11:18:11, 1.26s/step] Training: 54%|█████▍ | 37660/70000 [13:19:30<11:29:19, 1.28s/step] Training: 54%|█████▍ | 37661/70000 [13:19:31<11:14:54, 1.25s/step] Training: 54%|█████▍ | 37662/70000 [13:19:32<11:08:35, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=55830 Training: 54%|█████▍ | 37663/70000 [13:19:34<11:23:27, 1.27s/step] Training: 54%|█████▍ | 37664/70000 [13:19:35<11:19:10, 1.26s/step] Training: 54%|█████▍ | 37665/70000 [13:19:36<11:36:09, 1.29s/step] Training: 54%|█████▍ | 37666/70000 [13:19:37<11:19:33, 1.26s/step] Training: 54%|█████▍ | 37667/70000 [13:19:39<11:31:29, 1.28s/step] Training: 54%|█████▍ | 37668/70000 [13:19:40<11:25:36, 1.27s/step] Training: 54%|█████▍ | 37669/70000 [13:19:41<11:13:19, 1.25s/step] Training: 54%|█████▍ | 37670/70000 [13:19:43<11:25:43, 1.27s/step] Training: 54%|█████▍ | 37671/70000 [13:19:44<11:16:01, 1.25s/step] Training: 54%|█████▍ | 37672/70000 [13:19:45<11:09:29, 1.24s/step] Training: 54%|█████▍ | 37673/70000 [13:19:46<11:23:39, 1.27s/step] Training: 54%|█████▍ | 37674/70000 [13:19:47<11:11:24, 1.25s/step] Training: 54%|█████▍ | 37675/70000 [13:19:49<11:23:55, 1.27s/step] Training: 54%|█████▍ | 37676/70000 [13:19:50<11:34:09, 1.29s/step] Training: 54%|█████▍ | 37677/70000 [13:19:51<11:19:17, 1.26s/step] Training: 54%|█████▍ | 37678/70000 [13:19:53<11:30:56, 1.28s/step] Training: 54%|█████▍ | 37679/70000 [13:19:54<11:39:00, 1.30s/step] Training: 54%|█████▍ | 37680/70000 [13:19:55<11:44:18, 1.31s/step] Training: 54%|█████▍ | 37681/70000 [13:19:57<11:29:06, 1.28s/step] Training: 54%|█████▍ | 37682/70000 [13:19:58<11:45:18, 1.31s/step] Training: 54%|█████▍ | 37683/70000 [13:19:59<11:32:10, 1.29s/step] Training: 54%|█████▍ | 37684/70000 [13:20:00<11:39:43, 1.30s/step] Training: 54%|█████▍ | 37685/70000 [13:20:02<11:22:00, 1.27s/step] Training: 54%|█████▍ | 37686/70000 [13:20:03<11:16:46, 1.26s/step] Training: 54%|█████▍ | 37687/70000 [13:20:04<11:28:00, 1.28s/step] Training: 54%|█████▍ | 37688/70000 [13:20:06<11:37:41, 1.30s/step] Training: 54%|█████▍ | 37689/70000 [13:20:07<11:41:55, 1.30s/step] Training: 54%|█████▍ | 37690/70000 [13:20:08<11:34:19, 1.29s/step] Training: 54%|█████▍ | 37691/70000 [13:20:09<11:21:23, 1.27s/step] Training: 54%|█████▍ | 37692/70000 [13:20:11<11:35:20, 1.29s/step] Training: 54%|█████▍ | 37693/70000 [13:20:12<11:23:22, 1.27s/step] Training: 54%|█████▍ | 37694/70000 [13:20:13<11:14:08, 1.25s/step] Training: 54%|█████▍ | 37695/70000 [13:20:14<11:03:43, 1.23s/step] Training: 54%|█████▍ | 37696/70000 [13:20:16<11:19:50, 1.26s/step] Training: 54%|█████▍ | 37697/70000 [13:20:17<11:29:22, 1.28s/step] Training: 54%|█████▍ | 37698/70000 [13:20:18<11:21:57, 1.27s/step] Training: 54%|█████▍ | 37699/70000 [13:20:20<11:30:41, 1.28s/step] Training: 54%|█████▍ | 37700/70000 [13:20:21<11:24:33, 1.27s/step]INFO 2026-03-13 09:30:13 ot_train.py:435 step:38K smpl:2M ep:8K epch:31.95 loss:0.016 grdn:2.040 lr:1.2e-05 updt_s:1.252 data_s:0.019 Training: 54%|█████▍ | 37701/70000 [13:20:22<11:11:56, 1.25s/step] Training: 54%|█████▍ | 37702/70000 [13:20:23<11:26:00, 1.27s/step] Training: 54%|█████▍ | 37703/70000 [13:20:24<11:13:15, 1.25s/step] Training: 54%|█████▍ | 37704/70000 [13:20:26<11:25:58, 1.27s/step] Training: 54%|█████▍ | 37705/70000 [13:20:27<11:34:02, 1.29s/step] Training: 54%|█████▍ | 37706/70000 [13:20:28<11:17:54, 1.26s/step] Training: 54%|█████▍ | 37707/70000 [13:20:30<11:45:32, 1.31s/step] Training: 54%|█████▍ | 37708/70000 [13:20:31<11:48:40, 1.32s/step] Training: 54%|█████▍ | 37709/70000 [13:20:32<11:28:15, 1.28s/step] Training: 54%|█████▍ | 37710/70000 [13:20:34<11:36:02, 1.29s/step] Training: 54%|█████▍ | 37711/70000 [13:20:35<11:19:10, 1.26s/step] Training: 54%|█████▍ | 37712/70000 [13:20:36<11:45:10, 1.31s/step] Training: 54%|█████▍ | 37713/70000 [13:20:37<11:29:19, 1.28s/step] Training: 54%|█████▍ | 37714/70000 [13:20:39<11:14:26, 1.25s/step] Training: 54%|█████▍ | 37715/70000 [13:20:40<11:20:03, 1.26s/step] Training: 54%|█████▍ | 37716/70000 [13:20:41<11:31:00, 1.28s/step] Training: 54%|█████▍ | 37717/70000 [13:20:42<11:15:37, 1.26s/step] Training: 54%|█████▍ | 37718/70000 [13:20:44<11:10:34, 1.25s/step] Training: 54%|█████▍ | 37719/70000 [13:20:45<11:01:18, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=19732 Training: 54%|█████▍ | 37720/70000 [13:20:46<11:19:42, 1.26s/step] Training: 54%|█████▍ | 37721/70000 [13:20:48<11:29:22, 1.28s/step] Training: 54%|█████▍ | 37722/70000 [13:20:49<11:13:53, 1.25s/step] Training: 54%|█████▍ | 37723/70000 [13:20:50<11:29:17, 1.28s/step] Training: 54%|█████▍ | 37724/70000 [13:20:51<11:34:43, 1.29s/step] Training: 54%|█████▍ | 37725/70000 [13:20:53<11:17:44, 1.26s/step] Training: 54%|█████▍ | 37726/70000 [13:20:54<11:09:31, 1.24s/step] Training: 54%|█████▍ | 37727/70000 [13:20:55<11:00:11, 1.23s/step] Training: 54%|█████▍ | 37728/70000 [13:20:56<11:04:18, 1.24s/step] Training: 54%|█████▍ | 37729/70000 [13:20:58<11:19:04, 1.26s/step] Training: 54%|█████▍ | 37730/70000 [13:20:59<11:06:44, 1.24s/step] Training: 54%|█████▍ | 37731/70000 [13:21:00<11:25:38, 1.27s/step] Training: 54%|█████▍ | 37732/70000 [13:21:01<11:19:05, 1.26s/step] Training: 54%|█████▍ | 37733/70000 [13:21:02<11:07:46, 1.24s/step] Training: 54%|█████▍ | 37734/70000 [13:21:04<11:21:03, 1.27s/step] Training: 54%|█████▍ | 37735/70000 [13:21:05<11:08:03, 1.24s/step] Training: 54%|█████▍ | 37736/70000 [13:21:06<11:21:52, 1.27s/step] Training: 54%|█████▍ | 37737/70000 [13:21:08<11:32:26, 1.29s/step] Training: 54%|█████▍ | 37738/70000 [13:21:09<11:17:17, 1.26s/step] Training: 54%|█████▍ | 37739/70000 [13:21:10<11:06:09, 1.24s/step] Training: 54%|█████▍ | 37740/70000 [13:21:11<11:34:32, 1.29s/step] Training: 54%|█████▍ | 37741/70000 [13:21:13<11:17:55, 1.26s/step] Training: 54%|█████▍ | 37742/70000 [13:21:14<11:27:55, 1.28s/step] Training: 54%|█████▍ | 37743/70000 [13:21:15<11:13:56, 1.25s/step] Training: 54%|█████▍ | 37744/70000 [13:21:16<11:25:13, 1.27s/step] Training: 54%|█████▍ | 37745/70000 [13:21:18<11:14:23, 1.25s/step] Training: 54%|█████▍ | 37746/70000 [13:21:19<11:03:34, 1.23s/step] Training: 54%|█████▍ | 37747/70000 [13:21:20<10:56:20, 1.22s/step] Training: 54%|█████▍ | 37748/70000 [13:21:22<11:31:23, 1.29s/step] Training: 54%|█████▍ | 37749/70000 [13:21:23<11:15:36, 1.26s/step] Training: 54%|█████▍ | 37750/70000 [13:21:24<11:12:03, 1.25s/step] Training: 54%|█████▍ | 37751/70000 [13:21:25<11:03:02, 1.23s/step] Training: 54%|█████▍ | 37752/70000 [13:21:26<11:18:22, 1.26s/step] Training: 54%|█████▍ | 37753/70000 [13:21:28<11:30:36, 1.28s/step] Training: 54%|█████▍ | 37754/70000 [13:21:29<11:14:23, 1.25s/step] Training: 54%|█████▍ | 37755/70000 [13:21:30<11:03:41, 1.23s/step] Training: 54%|█████▍ | 37756/70000 [13:21:32<11:38:10, 1.30s/step] Training: 54%|█████▍ | 37757/70000 [13:21:33<11:20:05, 1.27s/step] Training: 54%|█████▍ | 37758/70000 [13:21:34<11:12:12, 1.25s/step] Training: 54%|█████▍ | 37759/70000 [13:21:35<11:01:53, 1.23s/step] Training: 54%|█████▍ | 37760/70000 [13:21:38<14:05:13, 1.57s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 54%|█████▍ | 37761/70000 [13:21:42<22:19:17, 2.49s/step] Training: 54%|█████▍ | 37762/70000 [13:21:43<18:49:20, 2.10s/step] Training: 54%|█████▍ | 37763/70000 [13:21:45<16:21:29, 1.83s/step] Training: 54%|█████▍ | 37764/70000 [13:21:46<15:27:42, 1.73s/step] Training: 54%|█████▍ | 37765/70000 [13:21:47<14:00:22, 1.56s/step] Training: 54%|█████▍ | 37766/70000 [13:21:49<13:31:08, 1.51s/step] Training: 54%|█████▍ | 37767/70000 [13:21:50<12:39:02, 1.41s/step] Training: 54%|█████▍ | 37768/70000 [13:21:51<12:36:10, 1.41s/step] Training: 54%|█████▍ | 37769/70000 [13:21:53<12:23:34, 1.38s/step] Training: 54%|█████▍ | 37770/70000 [13:21:54<11:52:37, 1.33s/step] Training: 54%|█████▍ | 37771/70000 [13:21:55<11:31:15, 1.29s/step] Training: 54%|█████▍ | 37772/70000 [13:21:56<11:37:41, 1.30s/step] Training: 54%|█████▍ | 37773/70000 [13:21:57<11:20:21, 1.27s/step] Training: 54%|█████▍ | 37774/70000 [13:21:59<11:31:25, 1.29s/step] Training: 54%|█████▍ | 37775/70000 [13:22:00<11:16:18, 1.26s/step] Training: 54%|█████▍ | 37776/70000 [13:22:01<11:29:00, 1.28s/step] Training: 54%|█████▍ | 37777/70000 [13:22:03<11:17:26, 1.26s/step] Training: 54%|█████▍ | 37778/70000 [13:22:04<11:05:41, 1.24s/step] Training: 54%|█████▍ | 37779/70000 [13:22:05<10:57:32, 1.22s/step] Training: 54%|█████▍ | 37780/70000 [13:22:06<11:14:45, 1.26s/step] Training: 54%|█████▍ | 37781/70000 [13:22:08<11:31:09, 1.29s/step] Training: 54%|█████▍ | 37782/70000 [13:22:09<11:20:49, 1.27s/step] Training: 54%|█████▍ | 37783/70000 [13:22:10<11:07:48, 1.24s/step] Training: 54%|█████▍ | 37784/70000 [13:22:11<11:29:30, 1.28s/step] Training: 54%|█████▍ | 37785/70000 [13:22:13<11:36:26, 1.30s/step] Training: 54%|█████▍ | 37786/70000 [13:22:14<11:20:10, 1.27s/step] Training: 54%|█████▍ | 37787/70000 [13:22:15<11:08:39, 1.25s/step] Training: 54%|█████▍ | 37788/70000 [13:22:17<11:30:50, 1.29s/step] Training: 54%|█████▍ | 37789/70000 [13:22:18<11:35:51, 1.30s/step] Training: 54%|█████▍ | 37790/70000 [13:22:19<11:20:20, 1.27s/step] Training: 54%|█████▍ | 37791/70000 [13:22:20<11:07:51, 1.24s/step] Training: 54%|█████▍ | 37792/70000 [13:22:21<11:09:20, 1.25s/step] Training: 54%|█████▍ | 37793/70000 [13:22:23<11:22:57, 1.27s/step] Training: 54%|█████▍ | 37794/70000 [13:22:24<11:09:43, 1.25s/step] Training: 54%|█████▍ | 37795/70000 [13:22:25<11:00:32, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=62977 Training: 54%|█████▍ | 37796/70000 [13:22:27<11:22:04, 1.27s/step] Training: 54%|█████▍ | 37797/70000 [13:22:28<11:36:44, 1.30s/step] Training: 54%|█████▍ | 37798/70000 [13:22:29<11:40:21, 1.30s/step] Training: 54%|█████▍ | 37799/70000 [13:22:30<11:22:18, 1.27s/step] Training: 54%|█████▍ | 37800/70000 [13:22:32<11:35:38, 1.30s/step]INFO 2026-03-13 09:32:24 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.04 loss:0.013 grdn:2.006 lr:1.2e-05 updt_s:1.245 data_s:0.063 Training: 54%|█████▍ | 37801/70000 [13:22:33<11:31:38, 1.29s/step] Training: 54%|█████▍ | 37802/70000 [13:22:34<11:15:43, 1.26s/step] Training: 54%|█████▍ | 37803/70000 [13:22:35<11:08:39, 1.25s/step] Training: 54%|█████▍ | 37804/70000 [13:22:37<11:21:29, 1.27s/step] Training: 54%|█████▍ | 37805/70000 [13:22:38<11:08:47, 1.25s/step] Training: 54%|█████▍ | 37806/70000 [13:22:39<11:36:42, 1.30s/step] Training: 54%|█████▍ | 37807/70000 [13:22:41<11:19:33, 1.27s/step] Training: 54%|█████▍ | 37808/70000 [13:22:42<11:29:09, 1.28s/step] Training: 54%|█████▍ | 37809/70000 [13:22:43<11:18:31, 1.26s/step] Training: 54%|█████▍ | 37810/70000 [13:22:44<11:06:34, 1.24s/step] Training: 54%|█████▍ | 37811/70000 [13:22:46<10:57:49, 1.23s/step] Training: 54%|█████▍ | 37812/70000 [13:22:47<11:15:35, 1.26s/step] Training: 54%|█████▍ | 37813/70000 [13:22:48<11:04:35, 1.24s/step] Training: 54%|█████▍ | 37814/70000 [13:22:49<11:23:40, 1.27s/step] Training: 54%|█████▍ | 37815/70000 [13:22:51<11:08:29, 1.25s/step] Training: 54%|█████▍ | 37816/70000 [13:22:52<11:01:32, 1.23s/step] Training: 54%|█████▍ | 37817/70000 [13:22:53<11:17:21, 1.26s/step] Training: 54%|█████▍ | 37818/70000 [13:22:54<11:06:07, 1.24s/step] Training: 54%|█████▍ | 37819/70000 [13:22:55<10:56:57, 1.22s/step] Training: 54%|█████▍ | 37820/70000 [13:22:57<11:20:47, 1.27s/step] Training: 54%|█████▍ | 37821/70000 [13:22:58<11:07:38, 1.24s/step] Training: 54%|█████▍ | 37822/70000 [13:22:59<11:02:18, 1.23s/step] Training: 54%|█████▍ | 37823/70000 [13:23:00<10:55:33, 1.22s/step] Training: 54%|█████▍ | 37824/70000 [13:23:02<10:58:44, 1.23s/step] Training: 54%|█████▍ | 37825/70000 [13:23:03<11:16:01, 1.26s/step] Training: 54%|█████▍ | 37826/70000 [13:23:04<11:04:48, 1.24s/step] Training: 54%|█████▍ | 37827/70000 [13:23:05<10:56:49, 1.22s/step] Training: 54%|█████▍ | 37828/70000 [13:23:07<11:19:51, 1.27s/step] Training: 54%|█████▍ | 37829/70000 [13:23:08<11:07:14, 1.24s/step] Training: 54%|█████▍ | 37830/70000 [13:23:09<11:24:01, 1.28s/step] Training: 54%|█████▍ | 37831/70000 [13:23:11<11:10:08, 1.25s/step] Training: 54%|█████▍ | 37832/70000 [13:23:12<11:06:36, 1.24s/step] Training: 54%|█████▍ | 37833/70000 [13:23:13<11:13:43, 1.26s/step] Training: 54%|█████▍ | 37834/70000 [13:23:14<11:02:52, 1.24s/step] Training: 54%|█████▍ | 37835/70000 [13:23:15<10:54:48, 1.22s/step] Training: 54%|█████▍ | 37836/70000 [13:23:17<11:12:58, 1.26s/step] Training: 54%|█████▍ | 37837/70000 [13:23:18<11:01:49, 1.23s/step] Training: 54%|█████▍ | 37838/70000 [13:23:19<11:16:17, 1.26s/step] Training: 54%|█████▍ | 37839/70000 [13:23:20<11:05:04, 1.24s/step] Training: 54%|█████▍ | 37840/70000 [13:23:22<10:56:39, 1.23s/step] Training: 54%|█████▍ | 37841/70000 [13:23:23<11:11:56, 1.25s/step] Training: 54%|█████▍ | 37842/70000 [13:23:24<11:01:37, 1.23s/step] Training: 54%|█████▍ | 37843/70000 [13:23:25<10:54:51, 1.22s/step] Training: 54%|█████▍ | 37844/70000 [13:23:27<11:12:26, 1.25s/step] Training: 54%|█████▍ | 37845/70000 [13:23:28<11:21:20, 1.27s/step] Training: 54%|█████▍ | 37846/70000 [13:23:29<11:15:10, 1.26s/step] Training: 54%|█████▍ | 37847/70000 [13:23:31<11:27:49, 1.28s/step] Training: 54%|█████▍ | 37848/70000 [13:23:32<11:38:00, 1.30s/step] Training: 54%|█████▍ | 37849/70000 [13:23:33<11:42:23, 1.31s/step] Training: 54%|█████▍ | 37850/70000 [13:23:34<11:22:43, 1.27s/step] Training: 54%|█████▍ | 37851/70000 [13:23:36<11:08:58, 1.25s/step] Training: 54%|█████▍ | 37852/70000 [13:23:37<11:22:27, 1.27s/step] Training: 54%|█████▍ | 37853/70000 [13:23:38<11:28:28, 1.28s/step] Training: 54%|█████▍ | 37854/70000 [13:23:39<11:17:52, 1.27s/step] Training: 54%|█████▍ | 37855/70000 [13:23:41<11:16:07, 1.26s/step] Training: 54%|█████▍ | 37856/70000 [13:23:42<11:15:53, 1.26s/step] Training: 54%|█████▍ | 37857/70000 [13:23:43<11:26:52, 1.28s/step] Training: 54%|█████▍ | 37858/70000 [13:23:44<11:12:11, 1.25s/step] Training: 54%|█████▍ | 37859/70000 [13:23:46<11:02:05, 1.24s/step] Training: 54%|█████▍ | 37860/70000 [13:23:47<11:22:17, 1.27s/step] Training: 54%|█████▍ | 37861/70000 [13:23:48<11:09:14, 1.25s/step] Training: 54%|█████▍ | 37862/70000 [13:23:50<11:24:12, 1.28s/step] Training: 54%|█████▍ | 37863/70000 [13:23:51<11:10:36, 1.25s/step] Training: 54%|█████▍ | 37864/70000 [13:23:52<11:26:50, 1.28s/step] Training: 54%|█████▍ | 37865/70000 [13:23:53<11:28:25, 1.29s/step] Training: 54%|█████▍ | 37866/70000 [13:23:55<11:14:22, 1.26s/step] Training: 54%|█████▍ | 37867/70000 [13:23:56<11:02:36, 1.24s/step] Training: 54%|█████▍ | 37868/70000 [13:23:57<11:19:07, 1.27s/step] Training: 54%|█████▍ | 37869/70000 [13:23:58<11:06:07, 1.24s/step] Training: 54%|█████▍ | 37870/70000 [13:24:00<11:20:13, 1.27s/step] Training: 54%|█████▍ | 37871/70000 [13:24:01<11:37:37, 1.30s/step] Training: 54%|█████▍ | 37872/70000 [13:24:02<11:17:38, 1.27s/step] Training: 54%|█████▍ | 37873/70000 [13:24:04<11:25:55, 1.28s/step] Training: 54%|█████▍ | 37874/70000 [13:24:05<11:11:33, 1.25s/step] Training: 54%|█████▍ | 37875/70000 [13:24:06<11:00:51, 1.23s/step] Training: 54%|█████▍ | 37876/70000 [13:24:07<11:15:51, 1.26s/step] Training: 54%|█████▍ | 37877/70000 [13:24:08<11:12:03, 1.26s/step] Training: 54%|█████▍ | 37878/70000 [13:24:10<11:07:45, 1.25s/step] Training: 54%|█████▍ | 37879/70000 [13:24:11<10:59:39, 1.23s/step] Training: 54%|█████▍ | 37880/70000 [13:24:12<11:28:26, 1.29s/step] Training: 54%|█████▍ | 37881/70000 [13:24:14<11:36:08, 1.30s/step] Training: 54%|█████▍ | 37882/70000 [13:24:15<11:18:31, 1.27s/step] Training: 54%|█████▍ | 37883/70000 [13:24:16<11:05:08, 1.24s/step] Training: 54%|█████▍ | 37884/70000 [13:24:17<11:19:13, 1.27s/step] Training: 54%|█████▍ | 37885/70000 [13:24:19<11:11:16, 1.25s/step] Training: 54%|█████▍ | 37886/70000 [13:24:20<11:05:12, 1.24s/step] Training: 54%|█████▍ | 37887/70000 [13:24:21<10:56:58, 1.23s/step] Training: 54%|█████▍ | 37888/70000 [13:24:22<11:16:34, 1.26s/step] Training: 54%|█████▍ | 37889/70000 [13:24:24<11:26:43, 1.28s/step] Training: 54%|█████▍ | 37890/70000 [13:24:25<11:11:05, 1.25s/step] Training: 54%|█████▍ | 37891/70000 [13:24:26<11:00:07, 1.23s/step] Training: 54%|█████▍ | 37892/70000 [13:24:27<11:21:25, 1.27s/step] Training: 54%|█████▍ | 37893/70000 [13:24:29<11:32:35, 1.29s/step] Training: 54%|█████▍ | 37894/70000 [13:24:30<11:37:51, 1.30s/step] Training: 54%|█████▍ | 37895/70000 [13:24:31<11:18:44, 1.27s/step] Training: 54%|█████▍ | 37896/70000 [13:24:33<11:16:13, 1.26s/step] Training: 54%|█████▍ | 37897/70000 [13:24:34<11:14:58, 1.26s/step] Training: 54%|█████▍ | 37898/70000 [13:24:35<11:03:58, 1.24s/step] Training: 54%|█████▍ | 37899/70000 [13:24:36<10:55:34, 1.23s/step] Training: 54%|█████▍ | 37900/70000 [13:24:37<11:10:59, 1.25s/step]INFO 2026-03-13 09:34:30 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.12 loss:0.014 grdn:1.854 lr:1.1e-05 updt_s:1.236 data_s:0.019 Training: 54%|█████▍ | 37901/70000 [13:24:39<11:23:05, 1.28s/step] Training: 54%|█████▍ | 37902/70000 [13:24:40<11:31:15, 1.29s/step] Training: 54%|█████▍ | 37903/70000 [13:24:41<11:14:25, 1.26s/step] Training: 54%|█████▍ | 37904/70000 [13:24:43<11:39:56, 1.31s/step] Training: 54%|█████▍ | 37905/70000 [13:24:44<11:27:25, 1.29s/step] Training: 54%|█████▍ | 37906/70000 [13:24:45<11:11:35, 1.26s/step] Training: 54%|█████▍ | 37907/70000 [13:24:46<11:01:28, 1.24s/step] Training: 54%|█████▍ | 37908/70000 [13:24:48<11:16:09, 1.26s/step] Training: 54%|█████▍ | 37909/70000 [13:24:49<11:10:24, 1.25s/step] Training: 54%|█████▍ | 37910/70000 [13:24:50<11:05:27, 1.24s/step] Training: 54%|█████▍ | 37911/70000 [13:24:51<10:56:36, 1.23s/step] Training: 54%|█████▍ | 37912/70000 [13:24:53<11:17:13, 1.27s/step] Training: 54%|█████▍ | 37913/70000 [13:24:54<11:04:56, 1.24s/step] Training: 54%|█████▍ | 37914/70000 [13:24:55<11:16:35, 1.27s/step] Training: 54%|█████▍ | 37915/70000 [13:24:56<11:04:58, 1.24s/step] Training: 54%|█████▍ | 37916/70000 [13:24:58<11:18:07, 1.27s/step] Training: 54%|█████▍ | 37917/70000 [13:24:59<11:09:38, 1.25s/step] Training: 54%|█████▍ | 37918/70000 [13:25:00<11:02:03, 1.24s/step] Training: 54%|█████▍ | 37919/70000 [13:25:01<10:54:27, 1.22s/step] Training: 54%|█████▍ | 37920/70000 [13:25:03<11:11:21, 1.26s/step] Training: 54%|█████▍ | 37921/70000 [13:25:04<11:41:30, 1.31s/step] Training: 54%|█████▍ | 37922/70000 [13:25:05<11:22:14, 1.28s/step] Training: 54%|█████▍ | 37923/70000 [13:25:06<11:08:44, 1.25s/step] Training: 54%|█████▍ | 37924/70000 [13:25:08<11:27:31, 1.29s/step] Training: 54%|█████▍ | 37925/70000 [13:25:09<11:35:16, 1.30s/step] Training: 54%|█████▍ | 37926/70000 [13:25:11<11:40:37, 1.31s/step] Training: 54%|█████▍ | 37927/70000 [13:25:12<11:21:08, 1.27s/step] Training: 54%|█████▍ | 37928/70000 [13:25:13<11:15:39, 1.26s/step] Training: 54%|█████▍ | 37929/70000 [13:25:14<11:41:44, 1.31s/step] Training: 54%|█████▍ | 37930/70000 [13:25:16<11:22:42, 1.28s/step] Training: 54%|█████▍ | 37931/70000 [13:25:17<11:09:22, 1.25s/step] Training: 54%|█████▍ | 37932/70000 [13:25:18<11:19:58, 1.27s/step] Training: 54%|█████▍ | 37933/70000 [13:25:19<11:29:29, 1.29s/step] Training: 54%|█████▍ | 37934/70000 [13:25:21<11:37:01, 1.30s/step] Training: 54%|█████▍ | 37935/70000 [13:25:22<11:18:08, 1.27s/step] Training: 54%|█████▍ | 37936/70000 [13:25:23<11:29:15, 1.29s/step] Training: 54%|█████▍ | 37937/70000 [13:25:25<11:42:03, 1.31s/step] Training: 54%|█████▍ | 37938/70000 [13:25:26<11:20:32, 1.27s/step] Training: 54%|█████▍ | 37939/70000 [13:25:27<11:07:01, 1.25s/step] Training: 54%|█████▍ | 37940/70000 [13:25:28<11:20:36, 1.27s/step] Training: 54%|█████▍ | 37941/70000 [13:25:30<11:13:22, 1.26s/step] Training: 54%|█████▍ | 37942/70000 [13:25:31<11:12:00, 1.26s/step] Training: 54%|█████▍ | 37943/70000 [13:25:32<11:01:21, 1.24s/step] Training: 54%|█████▍ | 37944/70000 [13:25:33<11:17:38, 1.27s/step] Training: 54%|█████▍ | 37945/70000 [13:25:35<11:31:27, 1.29s/step] Training: 54%|█████▍ | 37946/70000 [13:25:36<11:12:57, 1.26s/step] Training: 54%|█████▍ | 37947/70000 [13:25:37<11:01:43, 1.24s/step] Training: 54%|█████▍ | 37948/70000 [13:25:38<11:17:14, 1.27s/step] Training: 54%|█████▍ | 37949/70000 [13:25:40<11:08:12, 1.25s/step] Training: 54%|█████▍ | 37950/70000 [13:25:41<11:01:52, 1.24s/step] Training: 54%|█████▍ | 37951/70000 [13:25:42<10:54:35, 1.23s/step] Training: 54%|█████▍ | 37952/70000 [13:25:43<11:02:40, 1.24s/step] Training: 54%|█████▍ | 37953/70000 [13:25:45<11:19:39, 1.27s/step] Training: 54%|█████▍ | 37954/70000 [13:25:46<11:30:48, 1.29s/step] Training: 54%|█████▍ | 37955/70000 [13:25:47<11:12:30, 1.26s/step] Training: 54%|█████▍ | 37956/70000 [13:25:49<11:30:45, 1.29s/step] Training: 54%|█████▍ | 37957/70000 [13:25:50<11:36:50, 1.30s/step] Training: 54%|█████▍ | 37958/70000 [13:25:51<11:41:18, 1.31s/step] Training: 54%|█████▍ | 37959/70000 [13:25:52<11:21:43, 1.28s/step] Training: 54%|█████▍ | 37960/70000 [13:25:54<11:10:54, 1.26s/step] Training: 54%|█████▍ | 37961/70000 [13:25:55<11:38:17, 1.31s/step] Training: 54%|█████▍ | 37962/70000 [13:25:56<11:42:58, 1.32s/step] Training: 54%|█████▍ | 37963/70000 [13:25:58<11:21:25, 1.28s/step] Training: 54%|█████▍ | 37964/70000 [13:25:59<11:31:44, 1.30s/step] Training: 54%|█████▍ | 37965/70000 [13:26:00<11:37:26, 1.31s/step] Training: 54%|█████▍ | 37966/70000 [13:26:02<11:40:21, 1.31s/step] Training: 54%|█████▍ | 37967/70000 [13:26:03<11:21:29, 1.28s/step] Training: 54%|█████▍ | 37968/70000 [13:26:04<11:30:11, 1.29s/step] Training: 54%|█████▍ | 37969/70000 [13:26:05<11:35:02, 1.30s/step] Training: 54%|█████▍ | 37970/70000 [13:26:07<11:22:24, 1.28s/step] Training: 54%|█████▍ | 37971/70000 [13:26:08<11:08:26, 1.25s/step] Training: 54%|█████▍ | 37972/70000 [13:26:09<11:21:07, 1.28s/step] Training: 54%|█████▍ | 37973/70000 [13:26:10<11:13:06, 1.26s/step] Training: 54%|█████▍ | 37974/70000 [13:26:12<11:08:23, 1.25s/step] Training: 54%|█████▍ | 37975/70000 [13:26:13<10:58:06, 1.23s/step] Training: 54%|█████▍ | 37976/70000 [13:26:14<11:17:54, 1.27s/step] Training: 54%|█████▍ | 37977/70000 [13:26:15<11:20:20, 1.27s/step] Training: 54%|█████▍ | 37978/70000 [13:26:17<11:19:21, 1.27s/step] Training: 54%|█████▍ | 37979/70000 [13:26:18<11:04:19, 1.24s/step] Training: 54%|█████▍ | 37980/70000 [13:26:19<11:17:15, 1.27s/step] Training: 54%|█████▍ | 37981/70000 [13:26:20<11:09:05, 1.25s/step] Training: 54%|█████▍ | 37982/70000 [13:26:22<11:03:13, 1.24s/step] Training: 54%|█████▍ | 37983/70000 [13:26:23<10:55:16, 1.23s/step] Training: 54%|█████▍ | 37984/70000 [13:26:24<10:58:05, 1.23s/step] Training: 54%|█████▍ | 37985/70000 [13:26:25<10:51:21, 1.22s/step] Training: 54%|█████▍ | 37986/70000 [13:26:26<10:47:39, 1.21s/step] Training: 54%|█████▍ | 37987/70000 [13:26:28<11:26:25, 1.29s/step] Training: 54%|█████▍ | 37988/70000 [13:26:29<11:33:29, 1.30s/step] Training: 54%|█████▍ | 37989/70000 [13:26:31<11:38:15, 1.31s/step] Training: 54%|█████▍ | 37990/70000 [13:26:32<11:41:08, 1.31s/step] Training: 54%|█████▍ | 37991/70000 [13:26:33<11:21:40, 1.28s/step] Training: 54%|█████▍ | 37992/70000 [13:26:34<11:30:18, 1.29s/step] Training: 54%|█████▍ | 37993/70000 [13:26:36<11:13:56, 1.26s/step] Training: 54%|█████▍ | 37994/70000 [13:26:37<11:02:43, 1.24s/step] Training: 54%|█████▍ | 37995/70000 [13:26:38<11:05:58, 1.25s/step] Training: 54%|█████▍ | 37996/70000 [13:26:39<11:18:42, 1.27s/step] Training: 54%|█████▍ | 37997/70000 [13:26:41<11:27:33, 1.29s/step] Training: 54%|█████▍ | 37998/70000 [13:26:42<11:34:04, 1.30s/step] Training: 54%|█████▍ | 37999/70000 [13:26:43<11:17:00, 1.27s/step] Training: 54%|█████▍ | 38000/70000 [13:26:45<11:27:23, 1.29s/step]INFO 2026-03-13 09:36:37 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.21 loss:0.013 grdn:2.179 lr:1.1e-05 updt_s:1.250 data_s:0.019 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=56227 Training: 54%|█████▍ | 38001/70000 [13:26:46<11:18:10, 1.27s/step] Training: 54%|█████▍ | 38002/70000 [13:26:47<11:04:47, 1.25s/step] Training: 54%|█████▍ | 38003/70000 [13:26:48<10:55:34, 1.23s/step] Training: 54%|█████▍ | 38004/70000 [13:26:50<11:14:09, 1.26s/step] Training: 54%|█████▍ | 38005/70000 [13:26:51<11:16:51, 1.27s/step] Training: 54%|█████▍ | 38006/70000 [13:26:52<11:11:08, 1.26s/step] Training: 54%|█████▍ | 38007/70000 [13:26:53<11:01:27, 1.24s/step] Training: 54%|█████▍ | 38008/70000 [13:26:55<11:22:13, 1.28s/step] Training: 54%|█████▍ | 38009/70000 [13:26:56<11:13:29, 1.26s/step] Training: 54%|█████▍ | 38010/70000 [13:26:57<11:02:08, 1.24s/step] Training: 54%|█████▍ | 38011/70000 [13:26:58<11:19:19, 1.27s/step] Training: 54%|█████▍ | 38012/70000 [13:27:00<11:27:37, 1.29s/step] Training: 54%|█████▍ | 38013/70000 [13:27:01<11:13:33, 1.26s/step] Training: 54%|█████▍ | 38014/70000 [13:27:02<11:04:57, 1.25s/step] Training: 54%|█████▍ | 38015/70000 [13:27:03<10:55:36, 1.23s/step] Training: 54%|█████▍ | 38016/70000 [13:27:05<10:58:27, 1.24s/step] Training: 54%|█████▍ | 38017/70000 [13:27:06<11:14:13, 1.26s/step] Training: 54%|█████▍ | 38018/70000 [13:27:07<11:01:41, 1.24s/step] Training: 54%|█████▍ | 38019/70000 [13:27:08<10:52:56, 1.23s/step] Training: 54%|█████▍ | 38020/70000 [13:27:10<11:24:56, 1.29s/step] Training: 54%|█████▍ | 38021/70000 [13:27:11<11:31:33, 1.30s/step] Training: 54%|█████▍ | 38022/70000 [13:27:12<11:36:39, 1.31s/step] Training: 54%|█████▍ | 38023/70000 [13:27:14<11:17:45, 1.27s/step] Training: 54%|█████▍ | 38024/70000 [13:27:15<11:26:57, 1.29s/step] Training: 54%|█████▍ | 38025/70000 [13:27:16<11:31:23, 1.30s/step] Training: 54%|█████▍ | 38026/70000 [13:27:17<11:13:44, 1.26s/step] Training: 54%|█████▍ | 38027/70000 [13:27:19<11:01:54, 1.24s/step] Training: 54%|█████▍ | 38028/70000 [13:27:20<11:35:13, 1.30s/step] Training: 54%|█████▍ | 38029/70000 [13:27:21<11:39:53, 1.31s/step] Training: 54%|█████▍ | 38030/70000 [13:27:23<11:42:01, 1.32s/step] Training: 54%|█████▍ | 38031/70000 [13:27:24<11:22:09, 1.28s/step] Training: 54%|█████▍ | 38032/70000 [13:27:25<11:31:08, 1.30s/step] Training: 54%|█████▍ | 38033/70000 [13:27:27<11:34:50, 1.30s/step] Training: 54%|█████▍ | 38034/70000 [13:27:28<11:16:35, 1.27s/step] Training: 54%|█████▍ | 38035/70000 [13:27:29<11:03:44, 1.25s/step] Training: 54%|█████▍ | 38036/70000 [13:27:30<11:16:06, 1.27s/step] Training: 54%|█████▍ | 38037/70000 [13:27:31<11:08:40, 1.26s/step] Training: 54%|█████▍ | 38038/70000 [13:27:33<11:04:44, 1.25s/step] Training: 54%|█████▍ | 38039/70000 [13:27:34<10:54:55, 1.23s/step] Training: 54%|█████▍ | 38040/70000 [13:27:35<10:54:24, 1.23s/step] Training: 54%|█████▍ | 38041/70000 [13:27:36<11:01:40, 1.24s/step] Training: 54%|█████▍ | 38042/70000 [13:27:38<10:52:53, 1.23s/step] Training: 54%|█████▍ | 38043/70000 [13:27:39<10:48:38, 1.22s/step] Training: 54%|█████▍ | 38044/70000 [13:27:40<11:14:20, 1.27s/step] Training: 54%|█████▍ | 38045/70000 [13:27:41<11:05:56, 1.25s/step] Training: 54%|█████▍ | 38046/70000 [13:27:43<11:03:41, 1.25s/step] Training: 54%|█████▍ | 38047/70000 [13:27:44<10:54:57, 1.23s/step] Training: 54%|█████▍ | 38048/70000 [13:27:45<10:51:34, 1.22s/step] Training: 54%|█████▍ | 38049/70000 [13:27:46<11:09:19, 1.26s/step] Training: 54%|█████▍ | 38050/70000 [13:27:48<10:58:48, 1.24s/step] Training: 54%|█████▍ | 38051/70000 [13:27:49<10:51:20, 1.22s/step] Training: 54%|█████▍ | 38052/70000 [13:27:50<11:13:31, 1.26s/step] Training: 54%|█████▍ | 38053/70000 [13:27:51<11:23:58, 1.28s/step] Training: 54%|█████▍ | 38054/70000 [13:27:53<11:31:07, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=62193 Training: 54%|█████▍ | 38055/70000 [13:27:54<11:13:52, 1.27s/step] Training: 54%|█████▍ | 38056/70000 [13:27:55<11:22:22, 1.28s/step] Training: 54%|█████▍ | 38057/70000 [13:27:57<11:30:14, 1.30s/step] Training: 54%|█████▍ | 38058/70000 [13:27:58<11:12:57, 1.26s/step] Training: 54%|█████▍ | 38059/70000 [13:27:59<11:00:54, 1.24s/step] Training: 54%|█████▍ | 38060/70000 [13:28:00<11:14:15, 1.27s/step] Training: 54%|█████▍ | 38061/70000 [13:28:02<11:43:01, 1.32s/step] Training: 54%|█████▍ | 38062/70000 [13:28:03<11:44:50, 1.32s/step] Training: 54%|█████▍ | 38063/70000 [13:28:04<11:22:52, 1.28s/step] Training: 54%|█████▍ | 38064/70000 [13:28:06<11:29:31, 1.30s/step] Training: 54%|█████▍ | 38065/70000 [13:28:07<11:40:25, 1.32s/step] Training: 54%|█████▍ | 38066/70000 [13:28:08<11:20:17, 1.28s/step] Training: 54%|█████▍ | 38067/70000 [13:28:09<11:06:57, 1.25s/step] Training: 54%|█████▍ | 38068/70000 [13:28:11<11:19:47, 1.28s/step] Training: 54%|█████▍ | 38069/70000 [13:28:12<11:20:38, 1.28s/step] Training: 54%|█████▍ | 38070/70000 [13:28:13<11:14:35, 1.27s/step] Training: 54%|█████▍ | 38071/70000 [13:28:14<11:02:35, 1.25s/step] Training: 54%|█████▍ | 38072/70000 [13:28:16<11:00:13, 1.24s/step] Training: 54%|█████▍ | 38073/70000 [13:28:17<11:14:30, 1.27s/step] Training: 54%|█████▍ | 38074/70000 [13:28:18<11:01:55, 1.24s/step] Training: 54%|█████▍ | 38075/70000 [13:28:19<10:53:07, 1.23s/step] Training: 54%|█████▍ | 38076/70000 [13:28:21<11:08:47, 1.26s/step] Training: 54%|█████▍ | 38077/70000 [13:28:22<11:38:49, 1.31s/step] Training: 54%|█████▍ | 38078/70000 [13:28:23<11:19:51, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29380 Training: 54%|█████▍ | 38079/70000 [13:28:24<11:06:14, 1.25s/step] Training: 54%|█████▍ | 38080/70000 [13:28:26<11:00:27, 1.24s/step] Training: 54%|█████▍ | 38081/70000 [13:28:27<11:15:04, 1.27s/step] Training: 54%|█████▍ | 38082/70000 [13:28:28<11:03:18, 1.25s/step] Training: 54%|█████▍ | 38083/70000 [13:28:29<10:53:53, 1.23s/step] Training: 54%|█████▍ | 38084/70000 [13:28:31<11:10:20, 1.26s/step] Training: 54%|█████▍ | 38085/70000 [13:28:32<11:44:01, 1.32s/step] Training: 54%|█████▍ | 38086/70000 [13:28:34<11:43:05, 1.32s/step] Training: 54%|█████▍ | 38087/70000 [13:28:35<11:23:05, 1.28s/step] Training: 54%|█████▍ | 38088/70000 [13:28:36<11:32:23, 1.30s/step] Training: 54%|█████▍ | 38089/70000 [13:28:37<11:38:33, 1.31s/step] Training: 54%|█████▍ | 38090/70000 [13:28:39<11:18:52, 1.28s/step] Training: 54%|█████▍ | 38091/70000 [13:28:40<11:05:03, 1.25s/step] Training: 54%|█████▍ | 38092/70000 [13:28:41<11:17:39, 1.27s/step] Training: 54%|█████▍ | 38093/70000 [13:28:42<11:27:35, 1.29s/step] Training: 54%|█████▍ | 38094/70000 [13:28:44<11:52:57, 1.34s/step] Training: 54%|█████▍ | 38095/70000 [13:28:45<11:28:30, 1.29s/step] Training: 54%|█████▍ | 38096/70000 [13:28:46<11:34:11, 1.31s/step] Training: 54%|█████▍ | 38097/70000 [13:28:48<11:42:27, 1.32s/step] Training: 54%|█████▍ | 38098/70000 [13:28:49<11:21:01, 1.28s/step] Training: 54%|█████▍ | 38099/70000 [13:28:50<11:06:31, 1.25s/step] Training: 54%|█████▍ | 38100/70000 [13:28:51<10:59:30, 1.24s/step]INFO 2026-03-13 09:38:44 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.29 loss:0.014 grdn:1.545 lr:1.1e-05 updt_s:1.246 data_s:0.019 Training: 54%|█████▍ | 38101/70000 [13:28:53<11:09:54, 1.26s/step] Training: 54%|█████▍ | 38102/70000 [13:28:54<11:22:08, 1.28s/step] Training: 54%|█████▍ | 38103/70000 [13:28:55<11:05:49, 1.25s/step] Training: 54%|█████▍ | 38104/70000 [13:28:56<11:02:48, 1.25s/step] Training: 54%|█████▍ | 38105/70000 [13:28:58<11:15:46, 1.27s/step] Training: 54%|█████▍ | 38106/70000 [13:28:59<11:02:38, 1.25s/step] Training: 54%|█████▍ | 38107/70000 [13:29:00<10:53:56, 1.23s/step] Training: 54%|█████▍ | 38108/70000 [13:29:01<11:08:08, 1.26s/step] Training: 54%|█████▍ | 38109/70000 [13:29:03<11:21:26, 1.28s/step] Training: 54%|█████▍ | 38110/70000 [13:29:04<11:32:36, 1.30s/step] Training: 54%|█████▍ | 38111/70000 [13:29:05<11:13:07, 1.27s/step] Training: 54%|█████▍ | 38112/70000 [13:29:07<11:05:22, 1.25s/step] Training: 54%|█████▍ | 38113/70000 [13:29:08<11:18:50, 1.28s/step] Training: 54%|█████▍ | 38114/70000 [13:29:09<11:04:19, 1.25s/step] Training: 54%|█████▍ | 38115/70000 [13:29:10<10:54:49, 1.23s/step] Training: 54%|█████▍ | 38116/70000 [13:29:12<11:09:58, 1.26s/step] Training: 54%|█████▍ | 38117/70000 [13:29:13<11:03:03, 1.25s/step] Training: 54%|█████▍ | 38118/70000 [13:29:14<11:34:11, 1.31s/step] Training: 54%|█████▍ | 38119/70000 [13:29:15<11:15:22, 1.27s/step] Training: 54%|█████▍ | 38120/70000 [13:29:17<11:25:17, 1.29s/step] Training: 54%|█████▍ | 38121/70000 [13:29:18<11:31:43, 1.30s/step] Training: 54%|█████▍ | 38122/70000 [13:29:19<11:13:44, 1.27s/step] Training: 54%|█████▍ | 38123/70000 [13:29:20<11:01:26, 1.24s/step] Training: 54%|█████▍ | 38124/70000 [13:29:22<11:13:50, 1.27s/step] Training: 54%|█████▍ | 38125/70000 [13:29:23<11:23:46, 1.29s/step] Training: 54%|█████▍ | 38126/70000 [13:29:24<11:29:59, 1.30s/step] Training: 54%|█████▍ | 38127/70000 [13:29:26<11:12:23, 1.27s/step] Training: 54%|█████▍ | 38128/70000 [13:29:27<11:21:16, 1.28s/step] Training: 54%|█████▍ | 38129/70000 [13:29:28<11:33:15, 1.31s/step] Training: 54%|█████▍ | 38130/70000 [13:29:30<11:14:37, 1.27s/step] Training: 54%|█████▍ | 38131/70000 [13:29:31<11:01:57, 1.25s/step] Training: 54%|█████▍ | 38132/70000 [13:29:32<10:56:30, 1.24s/step] Training: 54%|█████▍ | 38133/70000 [13:29:33<11:13:32, 1.27s/step] Training: 54%|█████▍ | 38134/70000 [13:29:34<11:08:50, 1.26s/step] Training: 54%|█████▍ | 38135/70000 [13:29:36<11:22:27, 1.29s/step] Training: 54%|█████▍ | 38136/70000 [13:29:37<11:13:17, 1.27s/step] Training: 54%|█████▍ | 38137/70000 [13:29:38<11:07:23, 1.26s/step] Training: 54%|█████▍ | 38138/70000 [13:29:39<10:57:19, 1.24s/step] Training: 54%|█████▍ | 38139/70000 [13:29:41<10:49:27, 1.22s/step] Training: 54%|█████▍ | 38140/70000 [13:29:42<11:05:08, 1.25s/step] Training: 54%|█████▍ | 38141/70000 [13:29:43<11:17:50, 1.28s/step] Training: 54%|█████▍ | 38142/70000 [13:29:45<11:06:06, 1.25s/step] Training: 54%|█████▍ | 38143/70000 [13:29:46<11:16:41, 1.27s/step] Training: 54%|█████▍ | 38144/70000 [13:29:47<11:06:43, 1.26s/step] Training: 54%|█████▍ | 38145/70000 [13:29:48<11:19:27, 1.28s/step] Training: 54%|█████▍ | 38146/70000 [13:29:50<11:04:51, 1.25s/step] Training: 54%|█████▍ | 38147/70000 [13:29:51<10:55:21, 1.23s/step] Training: 54%|█████▍ | 38148/70000 [13:29:52<11:11:48, 1.27s/step] Training: 54%|█████▍ | 38149/70000 [13:29:53<11:03:19, 1.25s/step] Training: 55%|█████▍ | 38150/70000 [13:29:55<11:35:27, 1.31s/step] Training: 55%|█████▍ | 38151/70000 [13:29:56<11:42:26, 1.32s/step] Training: 55%|█████▍ | 38152/70000 [13:29:57<11:20:08, 1.28s/step] Training: 55%|█████▍ | 38153/70000 [13:29:59<11:40:41, 1.32s/step] Training: 55%|█████▍ | 38154/70000 [13:30:00<11:20:00, 1.28s/step] Training: 55%|█████▍ | 38155/70000 [13:30:01<11:05:43, 1.25s/step] Training: 55%|█████▍ | 38156/70000 [13:30:02<11:18:57, 1.28s/step] Training: 55%|█████▍ | 38157/70000 [13:30:04<11:27:56, 1.30s/step] Training: 55%|█████▍ | 38158/70000 [13:30:05<11:32:00, 1.30s/step] Training: 55%|█████▍ | 38159/70000 [13:30:06<11:13:43, 1.27s/step] Training: 55%|█████▍ | 38160/70000 [13:30:08<11:27:18, 1.30s/step] Training: 55%|█████▍ | 38161/70000 [13:30:09<11:15:25, 1.27s/step] Training: 55%|█████▍ | 38162/70000 [13:30:10<11:04:12, 1.25s/step] Training: 55%|█████▍ | 38163/70000 [13:30:11<10:58:13, 1.24s/step] Training: 55%|█████▍ | 38164/70000 [13:30:13<10:56:33, 1.24s/step] Training: 55%|█████▍ | 38165/70000 [13:30:14<11:12:46, 1.27s/step] Training: 55%|█████▍ | 38166/70000 [13:30:15<11:07:41, 1.26s/step] Training: 55%|█████▍ | 38167/70000 [13:30:16<10:57:14, 1.24s/step] Training: 55%|█████▍ | 38168/70000 [13:30:18<11:17:44, 1.28s/step] Training: 55%|█████▍ | 38169/70000 [13:30:19<11:07:24, 1.26s/step] Training: 55%|█████▍ | 38170/70000 [13:30:20<10:56:29, 1.24s/step] Training: 55%|█████▍ | 38171/70000 [13:30:21<10:48:23, 1.22s/step] Training: 55%|█████▍ | 38172/70000 [13:30:23<11:06:50, 1.26s/step] Training: 55%|█████▍ | 38173/70000 [13:30:24<11:19:03, 1.28s/step] Training: 55%|█████▍ | 38174/70000 [13:30:25<11:06:34, 1.26s/step] Training: 55%|█████▍ | 38175/70000 [13:30:26<10:56:27, 1.24s/step] Training: 55%|█████▍ | 38176/70000 [13:30:28<10:51:26, 1.23s/step] Training: 55%|█████▍ | 38177/70000 [13:30:29<11:08:26, 1.26s/step] Training: 55%|█████▍ | 38178/70000 [13:30:30<10:57:38, 1.24s/step] Training: 55%|█████▍ | 38179/70000 [13:30:31<10:49:08, 1.22s/step] Training: 55%|█████▍ | 38180/70000 [13:30:33<11:06:47, 1.26s/step] Training: 55%|█████▍ | 38181/70000 [13:30:34<10:58:45, 1.24s/step] Training: 55%|█████▍ | 38182/70000 [13:30:35<11:31:14, 1.30s/step] Training: 55%|█████▍ | 38183/70000 [13:30:36<11:13:33, 1.27s/step] Training: 55%|█████▍ | 38184/70000 [13:30:38<11:28:44, 1.30s/step] Training: 55%|█████▍ | 38185/70000 [13:30:39<11:34:44, 1.31s/step] Training: 55%|█████▍ | 38186/70000 [13:30:40<11:15:41, 1.27s/step] Training: 55%|█████▍ | 38187/70000 [13:30:42<11:02:22, 1.25s/step] Training: 55%|█████▍ | 38188/70000 [13:30:43<11:17:53, 1.28s/step] Training: 55%|█████▍ | 38189/70000 [13:30:44<11:26:21, 1.29s/step] Training: 55%|█████▍ | 38190/70000 [13:30:46<11:31:00, 1.30s/step] Training: 55%|█████▍ | 38191/70000 [13:30:47<11:12:47, 1.27s/step] Training: 55%|█████▍ | 38192/70000 [13:30:48<11:23:29, 1.29s/step] Training: 55%|█████▍ | 38193/70000 [13:30:49<11:14:24, 1.27s/step] Training: 55%|█████▍ | 38194/70000 [13:30:50<11:01:26, 1.25s/step] Training: 55%|█████▍ | 38195/70000 [13:30:52<10:51:45, 1.23s/step] Training: 55%|█████▍ | 38196/70000 [13:30:53<10:48:36, 1.22s/step] Training: 55%|█████▍ | 38197/70000 [13:30:54<11:06:29, 1.26s/step] Training: 55%|█████▍ | 38198/70000 [13:30:55<11:02:22, 1.25s/step] Training: 55%|█████▍ | 38199/70000 [13:30:57<10:53:10, 1.23s/step] Training: 55%|█████▍ | 38200/70000 [13:30:58<10:53:09, 1.23s/step]INFO 2026-03-13 09:40:50 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.38 loss:0.013 grdn:1.764 lr:1.1e-05 updt_s:1.244 data_s:0.019 Training: 55%|█████▍ | 38201/70000 [13:30:59<11:13:02, 1.27s/step] Training: 55%|█████▍ | 38202/70000 [13:31:00<10:58:54, 1.24s/step] Training: 55%|█████▍ | 38203/70000 [13:31:02<10:50:50, 1.23s/step] Training: 55%|█████▍ | 38204/70000 [13:31:03<11:06:26, 1.26s/step] Training: 55%|█████▍ | 38205/70000 [13:31:04<11:16:40, 1.28s/step] Training: 55%|█████▍ | 38206/70000 [13:31:05<11:06:02, 1.26s/step] Training: 55%|█████▍ | 38207/70000 [13:31:07<10:55:17, 1.24s/step] Training: 55%|█████▍ | 38208/70000 [13:31:08<10:52:28, 1.23s/step] Training: 55%|█████▍ | 38209/70000 [13:31:09<11:21:02, 1.29s/step] Training: 55%|█████▍ | 38210/70000 [13:31:10<11:06:04, 1.26s/step] Training: 55%|█████▍ | 38211/70000 [13:31:12<10:55:07, 1.24s/step] Training: 55%|█████▍ | 38212/70000 [13:31:13<11:11:07, 1.27s/step] Training: 55%|█████▍ | 38213/70000 [13:31:14<11:01:48, 1.25s/step] Training: 55%|█████▍ | 38214/70000 [13:31:16<11:34:47, 1.31s/step] Training: 55%|█████▍ | 38215/70000 [13:31:17<11:16:27, 1.28s/step] Training: 55%|█████▍ | 38216/70000 [13:31:18<11:28:36, 1.30s/step] Training: 55%|█████▍ | 38217/70000 [13:31:20<11:34:48, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=29380 Training: 55%|█████▍ | 38218/70000 [13:31:21<11:40:07, 1.32s/step] Training: 55%|█████▍ | 38219/70000 [13:31:22<11:17:51, 1.28s/step] Training: 55%|█████▍ | 38220/70000 [13:31:23<11:27:01, 1.30s/step] Training: 55%|█████▍ | 38221/70000 [13:31:25<11:32:50, 1.31s/step] Training: 55%|█████▍ | 38222/70000 [13:31:26<11:34:48, 1.31s/step] Training: 55%|█████▍ | 38223/70000 [13:31:27<11:15:49, 1.28s/step] Training: 55%|█████▍ | 38224/70000 [13:31:29<11:24:37, 1.29s/step] Training: 55%|█████▍ | 38225/70000 [13:31:30<11:42:45, 1.33s/step] Training: 55%|█████▍ | 38226/70000 [13:31:31<11:19:20, 1.28s/step] Training: 55%|█████▍ | 38227/70000 [13:31:32<11:04:29, 1.25s/step] Training: 55%|█████▍ | 38228/70000 [13:31:34<10:57:32, 1.24s/step] Training: 55%|█████▍ | 38229/70000 [13:31:35<11:16:07, 1.28s/step] Training: 55%|█████▍ | 38230/70000 [13:31:36<11:11:18, 1.27s/step] Training: 55%|█████▍ | 38231/70000 [13:31:37<10:58:05, 1.24s/step] Training: 55%|█████▍ | 38232/70000 [13:31:39<10:57:24, 1.24s/step] Training: 55%|█████▍ | 38233/70000 [13:31:40<11:15:11, 1.28s/step] Training: 55%|█████▍ | 38234/70000 [13:31:41<11:00:50, 1.25s/step] Training: 55%|█████▍ | 38235/70000 [13:31:42<10:51:12, 1.23s/step] Training: 55%|█████▍ | 38236/70000 [13:31:44<11:10:13, 1.27s/step] Training: 55%|█████▍ | 38237/70000 [13:31:45<11:19:55, 1.28s/step] Training: 55%|█████▍ | 38238/70000 [13:31:46<11:07:51, 1.26s/step] Training: 55%|█████▍ | 38239/70000 [13:31:47<10:56:36, 1.24s/step] Training: 55%|█████▍ | 38240/70000 [13:31:49<10:52:10, 1.23s/step] Training: 55%|█████▍ | 38241/70000 [13:31:50<11:07:56, 1.26s/step] Training: 55%|█████▍ | 38242/70000 [13:31:51<11:24:10, 1.29s/step] Training: 55%|█████▍ | 38243/70000 [13:31:52<11:08:09, 1.26s/step] Training: 55%|█████▍ | 38244/70000 [13:31:54<11:18:20, 1.28s/step] Training: 55%|█████▍ | 38245/70000 [13:31:55<11:26:59, 1.30s/step] Training: 55%|█████▍ | 38246/70000 [13:31:56<11:31:36, 1.31s/step] Training: 55%|█████▍ | 38247/70000 [13:31:58<11:12:52, 1.27s/step] Training: 55%|█████▍ | 38248/70000 [13:31:59<11:21:29, 1.29s/step] Training: 55%|█████▍ | 38249/70000 [13:32:00<11:29:41, 1.30s/step] Training: 55%|█████▍ | 38250/70000 [13:32:02<11:39:13, 1.32s/step] Training: 55%|█████▍ | 38251/70000 [13:32:03<11:17:32, 1.28s/step] Training: 55%|█████▍ | 38252/70000 [13:32:04<11:25:23, 1.30s/step] Training: 55%|█████▍ | 38253/70000 [13:32:06<11:29:51, 1.30s/step] Training: 55%|█████▍ | 38254/70000 [13:32:07<11:32:54, 1.31s/step] Training: 55%|█████▍ | 38255/70000 [13:32:08<11:13:17, 1.27s/step] Training: 55%|█████▍ | 38256/70000 [13:32:09<11:23:58, 1.29s/step] Training: 55%|█████▍ | 38257/70000 [13:32:11<11:14:48, 1.28s/step] Training: 55%|█████▍ | 38258/70000 [13:32:12<11:10:52, 1.27s/step] Training: 55%|█████▍ | 38259/70000 [13:32:13<10:58:14, 1.24s/step] Training: 55%|█████▍ | 38260/70000 [13:32:14<10:51:55, 1.23s/step] Training: 55%|█████▍ | 38261/70000 [13:32:16<11:14:05, 1.27s/step] Training: 55%|█████▍ | 38262/70000 [13:32:17<11:07:50, 1.26s/step] Training: 55%|█████▍ | 38263/70000 [13:32:18<10:55:26, 1.24s/step] Training: 55%|█████▍ | 38264/70000 [13:32:19<10:54:04, 1.24s/step] Training: 55%|█████▍ | 38265/70000 [13:32:20<10:49:02, 1.23s/step] Training: 55%|█████▍ | 38266/70000 [13:32:22<10:52:54, 1.23s/step] Training: 55%|█████▍ | 38267/70000 [13:32:23<10:48:43, 1.23s/step] Training: 55%|█████▍ | 38268/70000 [13:32:24<11:05:57, 1.26s/step] Training: 55%|█████▍ | 38269/70000 [13:32:26<11:16:38, 1.28s/step] Training: 55%|█████▍ | 38270/70000 [13:32:27<11:05:56, 1.26s/step] Training: 55%|█████▍ | 38271/70000 [13:32:28<10:55:31, 1.24s/step] Training: 55%|█████▍ | 38272/70000 [13:32:29<10:52:27, 1.23s/step] Training: 55%|█████▍ | 38273/70000 [13:32:31<11:07:23, 1.26s/step] Training: 55%|█████▍ | 38274/70000 [13:32:32<10:55:15, 1.24s/step] Training: 55%|█████▍ | 38275/70000 [13:32:33<11:11:15, 1.27s/step] Training: 55%|█████▍ | 38276/70000 [13:32:34<11:18:51, 1.28s/step] Training: 55%|█████▍ | 38277/70000 [13:32:36<11:07:38, 1.26s/step] Training: 55%|█████▍ | 38278/70000 [13:32:37<11:33:24, 1.31s/step] Training: 55%|█████▍ | 38279/70000 [13:32:38<11:13:54, 1.27s/step] Training: 55%|█████▍ | 38280/70000 [13:32:40<11:25:18, 1.30s/step] Training: 55%|█████▍ | 38281/70000 [13:32:41<11:30:33, 1.31s/step] Training: 55%|█████▍ | 38282/70000 [13:32:42<11:11:40, 1.27s/step] Training: 55%|█████▍ | 38283/70000 [13:32:43<11:11:00, 1.27s/step] Training: 55%|█████▍ | 38284/70000 [13:32:45<11:20:47, 1.29s/step] Training: 55%|█████▍ | 38285/70000 [13:32:46<11:27:50, 1.30s/step] Training: 55%|█████▍ | 38286/70000 [13:32:47<11:32:13, 1.31s/step] Training: 55%|█████▍ | 38287/70000 [13:32:49<11:13:26, 1.27s/step] Training: 55%|█████▍ | 38288/70000 [13:32:50<11:21:44, 1.29s/step] Training: 55%|█████▍ | 38289/70000 [13:32:51<11:11:54, 1.27s/step] Training: 55%|█████▍ | 38290/70000 [13:32:52<10:58:04, 1.25s/step] Training: 55%|█████▍ | 38291/70000 [13:32:53<10:49:03, 1.23s/step] Training: 55%|█████▍ | 38292/70000 [13:32:55<11:06:10, 1.26s/step] Training: 55%|█████▍ | 38293/70000 [13:32:56<11:16:05, 1.28s/step] Training: 55%|█████▍ | 38294/70000 [13:32:57<11:08:25, 1.26s/step] Training: 55%|█████▍ | 38295/70000 [13:32:59<10:56:31, 1.24s/step] Training: 55%|█████▍ | 38296/70000 [13:33:00<10:54:55, 1.24s/step] Training: 55%|█████▍ | 38297/70000 [13:33:01<10:49:38, 1.23s/step] Training: 55%|█████▍ | 38298/70000 [13:33:02<10:42:50, 1.22s/step] Training: 55%|█████▍ | 38299/70000 [13:33:04<11:05:02, 1.26s/step] Training: 55%|█████▍ | 38300/70000 [13:33:05<11:16:42, 1.28s/step]INFO 2026-03-13 09:42:57 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.46 loss:0.013 grdn:1.782 lr:1.1e-05 updt_s:1.250 data_s:0.018 Training: 55%|█████▍ | 38301/70000 [13:33:06<11:24:50, 1.30s/step] Training: 55%|█████▍ | 38302/70000 [13:33:07<11:16:12, 1.28s/step] Training: 55%|█████▍ | 38303/70000 [13:33:09<11:01:46, 1.25s/step] Training: 55%|█████▍ | 38304/70000 [13:33:10<10:55:52, 1.24s/step] Training: 55%|█████▍ | 38305/70000 [13:33:11<11:10:47, 1.27s/step] Training: 55%|█████▍ | 38306/70000 [13:33:12<10:58:02, 1.25s/step] Training: 55%|█████▍ | 38307/70000 [13:33:14<10:49:26, 1.23s/step] Training: 55%|█████▍ | 38308/70000 [13:33:15<11:24:43, 1.30s/step] Training: 55%|█████▍ | 38309/70000 [13:33:16<11:09:22, 1.27s/step] Training: 55%|█████▍ | 38310/70000 [13:33:18<11:15:22, 1.28s/step] Training: 55%|█████▍ | 38311/70000 [13:33:19<11:21:16, 1.29s/step] Training: 55%|█████▍ | 38312/70000 [13:33:20<11:28:00, 1.30s/step] Training: 55%|█████▍ | 38313/70000 [13:33:22<11:31:26, 1.31s/step] Training: 55%|█████▍ | 38314/70000 [13:33:23<11:12:22, 1.27s/step] Training: 55%|█████▍ | 38315/70000 [13:33:24<10:58:34, 1.25s/step] Training: 55%|█████▍ | 38316/70000 [13:33:25<11:34:09, 1.31s/step] Training: 55%|█████▍ | 38317/70000 [13:33:27<11:34:57, 1.32s/step] Training: 55%|█████▍ | 38318/70000 [13:33:28<11:14:31, 1.28s/step] Training: 55%|█████▍ | 38319/70000 [13:33:29<11:00:43, 1.25s/step] Training: 55%|█████▍ | 38320/70000 [13:33:30<11:12:58, 1.27s/step] Training: 55%|█████▍ | 38321/70000 [13:33:32<11:28:19, 1.30s/step] Training: 55%|█████▍ | 38322/70000 [13:33:33<11:10:25, 1.27s/step] Training: 55%|█████▍ | 38323/70000 [13:33:34<10:58:04, 1.25s/step] Training: 55%|█████▍ | 38324/70000 [13:33:35<10:53:57, 1.24s/step] Training: 55%|█████▍ | 38325/70000 [13:33:37<11:12:58, 1.27s/step] Training: 55%|█████▍ | 38326/70000 [13:33:38<11:07:21, 1.26s/step] Training: 55%|█████▍ | 38327/70000 [13:33:39<10:55:01, 1.24s/step] Training: 55%|█████▍ | 38328/70000 [13:33:40<10:53:46, 1.24s/step] Training: 55%|█████▍ | 38329/70000 [13:33:42<10:49:49, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=29380 Training: 55%|█████▍ | 38330/70000 [13:33:43<10:44:06, 1.22s/step] Training: 55%|█████▍ | 38331/70000 [13:33:44<10:38:28, 1.21s/step] Training: 55%|█████▍ | 38332/70000 [13:33:45<11:13:15, 1.28s/step] Training: 55%|█████▍ | 38333/70000 [13:33:47<11:22:10, 1.29s/step] Training: 55%|█████▍ | 38334/70000 [13:33:48<11:09:46, 1.27s/step] Training: 55%|█████▍ | 38335/70000 [13:33:49<10:57:21, 1.25s/step] Training: 55%|█████▍ | 38336/70000 [13:33:50<10:52:42, 1.24s/step] Training: 55%|█████▍ | 38337/70000 [13:33:52<11:06:51, 1.26s/step] Training: 55%|█████▍ | 38338/70000 [13:33:53<10:56:13, 1.24s/step] Training: 55%|█████▍ | 38339/70000 [13:33:54<10:48:05, 1.23s/step] Training: 55%|█████▍ | 38340/70000 [13:33:55<11:03:10, 1.26s/step] Training: 55%|█████▍ | 38341/70000 [13:33:57<10:55:06, 1.24s/step] Training: 55%|█████▍ | 38342/70000 [13:33:58<11:08:15, 1.27s/step] Training: 55%|█████▍ | 38343/70000 [13:33:59<11:11:29, 1.27s/step] Training: 55%|█████▍ | 38344/70000 [13:34:01<11:19:53, 1.29s/step] Training: 55%|█████▍ | 38345/70000 [13:34:02<11:26:55, 1.30s/step] Training: 55%|█████▍ | 38346/70000 [13:34:03<11:09:34, 1.27s/step] Training: 55%|█████▍ | 38347/70000 [13:34:04<10:56:17, 1.24s/step] Training: 55%|█████▍ | 38348/70000 [13:34:06<11:11:32, 1.27s/step] Training: 55%|█████▍ | 38349/70000 [13:34:07<11:38:31, 1.32s/step] Training: 55%|█████▍ | 38350/70000 [13:34:08<11:56:16, 1.36s/step] Training: 55%|█████▍ | 38351/70000 [13:34:10<11:29:19, 1.31s/step] Training: 55%|█████▍ | 38352/70000 [13:34:11<11:34:27, 1.32s/step] Training: 55%|█████▍ | 38353/70000 [13:34:12<11:43:56, 1.33s/step] Training: 55%|█████▍ | 38354/70000 [13:34:14<11:21:02, 1.29s/step] Training: 55%|█████▍ | 38355/70000 [13:34:15<11:04:51, 1.26s/step] Training: 55%|█████▍ | 38356/70000 [13:34:16<10:56:14, 1.24s/step] Training: 55%|█████▍ | 38357/70000 [13:34:17<11:24:05, 1.30s/step] Training: 55%|█████▍ | 38358/70000 [13:34:19<11:21:10, 1.29s/step] Training: 55%|█████▍ | 38359/70000 [13:34:20<11:05:47, 1.26s/step] Training: 55%|█████▍ | 38360/70000 [13:34:21<11:00:49, 1.25s/step] Training: 55%|█████▍ | 38361/70000 [13:34:22<10:54:36, 1.24s/step] Training: 55%|█████▍ | 38362/70000 [13:34:23<10:47:18, 1.23s/step] Training: 55%|█████▍ | 38363/70000 [13:34:25<10:42:15, 1.22s/step] Training: 55%|█████▍ | 38364/70000 [13:34:26<10:58:44, 1.25s/step] Training: 55%|█████▍ | 38365/70000 [13:34:27<11:33:48, 1.32s/step] Training: 55%|█████▍ | 38366/70000 [13:34:29<11:18:54, 1.29s/step] Training: 55%|█████▍ | 38367/70000 [13:34:30<11:04:07, 1.26s/step] Training: 55%|█████▍ | 38368/70000 [13:34:31<10:55:22, 1.24s/step] Training: 55%|█████▍ | 38369/70000 [13:34:32<11:09:30, 1.27s/step] Training: 55%|█████▍ | 38370/70000 [13:34:34<10:56:38, 1.25s/step] Training: 55%|█████▍ | 38371/70000 [13:34:35<10:48:24, 1.23s/step] Training: 55%|█████▍ | 38372/70000 [13:34:36<11:02:59, 1.26s/step] Training: 55%|█████▍ | 38373/70000 [13:34:37<11:19:30, 1.29s/step] Training: 55%|█████▍ | 38374/70000 [13:34:39<11:02:02, 1.26s/step] Training: 55%|█████▍ | 38375/70000 [13:34:40<11:10:39, 1.27s/step] Training: 55%|█████▍ | 38376/70000 [13:34:41<11:19:48, 1.29s/step] Training: 55%|█████▍ | 38377/70000 [13:34:43<11:26:10, 1.30s/step] Training: 55%|█████▍ | 38378/70000 [13:34:44<11:08:54, 1.27s/step] Training: 55%|█████▍ | 38379/70000 [13:34:45<10:56:26, 1.25s/step] Training: 55%|█████▍ | 38380/70000 [13:34:46<11:10:20, 1.27s/step] Training: 55%|█████▍ | 38381/70000 [13:34:48<11:21:45, 1.29s/step] Training: 55%|█████▍ | 38382/70000 [13:34:49<11:44:25, 1.34s/step] Training: 55%|█████▍ | 38383/70000 [13:34:50<11:21:09, 1.29s/step] Training: 55%|█████▍ | 38384/70000 [13:34:52<11:25:14, 1.30s/step] Training: 55%|█████▍ | 38385/70000 [13:34:53<11:35:35, 1.32s/step] Training: 55%|█████▍ | 38386/70000 [13:34:54<11:15:02, 1.28s/step] Training: 55%|█████▍ | 38387/70000 [13:34:55<11:00:41, 1.25s/step] Training: 55%|█████▍ | 38388/70000 [13:34:57<10:54:03, 1.24s/step] Training: 55%|█████▍ | 38389/70000 [13:34:58<11:08:17, 1.27s/step] Training: 55%|█████▍ | 38390/70000 [13:34:59<11:19:47, 1.29s/step] Training: 55%|█████▍ | 38391/70000 [13:35:00<11:02:27, 1.26s/step] Training: 55%|█████▍ | 38392/70000 [13:35:02<11:01:55, 1.26s/step] Training: 55%|█████▍ | 38393/70000 [13:35:03<10:54:12, 1.24s/step] Training: 55%|█████▍ | 38394/70000 [13:35:04<10:46:14, 1.23s/step] Training: 55%|█████▍ | 38395/70000 [13:35:05<10:39:57, 1.21s/step] Training: 55%|█████▍ | 38396/70000 [13:35:07<10:58:46, 1.25s/step] Training: 55%|█████▍ | 38397/70000 [13:35:08<10:55:57, 1.25s/step] Training: 55%|█████▍ | 38398/70000 [13:35:09<11:26:05, 1.30s/step] Training: 55%|█████▍ | 38399/70000 [13:35:11<11:08:53, 1.27s/step] Training: 55%|█████▍ | 38400/70000 [13:35:12<11:05:34, 1.26s/step]INFO 2026-03-13 09:45:04 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.55 loss:0.014 grdn:1.725 lr:1.1e-05 updt_s:1.248 data_s:0.019 Training: 55%|█████▍ | 38401/70000 [13:35:13<11:16:46, 1.29s/step] Training: 55%|█████▍ | 38402/70000 [13:35:14<11:01:26, 1.26s/step] Training: 55%|█████▍ | 38403/70000 [13:35:15<10:53:59, 1.24s/step] Training: 55%|█████▍ | 38404/70000 [13:35:17<11:08:27, 1.27s/step] Training: 55%|█████▍ | 38405/70000 [13:35:18<10:56:57, 1.25s/step] Training: 55%|█████▍ | 38406/70000 [13:35:19<11:31:15, 1.31s/step] Training: 55%|█████▍ | 38407/70000 [13:35:21<11:12:50, 1.28s/step] Training: 55%|█████▍ | 38408/70000 [13:35:22<11:20:02, 1.29s/step] Training: 55%|█████▍ | 38409/70000 [13:35:23<11:25:36, 1.30s/step] Training: 55%|█████▍ | 38410/70000 [13:35:25<11:07:58, 1.27s/step] Training: 55%|█████▍ | 38411/70000 [13:35:26<10:55:39, 1.25s/step] Training: 55%|█████▍ | 38412/70000 [13:35:27<11:08:34, 1.27s/step] Training: 55%|█████▍ | 38413/70000 [13:35:28<11:18:35, 1.29s/step] Training: 55%|█████▍ | 38414/70000 [13:35:30<11:15:42, 1.28s/step] Training: 55%|█████▍ | 38415/70000 [13:35:31<10:59:09, 1.25s/step] Training: 55%|█████▍ | 38416/70000 [13:35:32<11:10:56, 1.27s/step] Training: 55%|█████▍ | 38417/70000 [13:35:34<11:25:01, 1.30s/step] Training: 55%|█████▍ | 38418/70000 [13:35:35<11:07:02, 1.27s/step] Training: 55%|█████▍ | 38419/70000 [13:35:36<10:55:01, 1.24s/step] Training: 55%|█████▍ | 38420/70000 [13:35:37<10:51:11, 1.24s/step] Training: 55%|█████▍ | 38421/70000 [13:35:38<10:47:25, 1.23s/step] Training: 55%|█████▍ | 38422/70000 [13:35:40<10:49:14, 1.23s/step] Training: 55%|█████▍ | 38423/70000 [13:35:41<11:06:54, 1.27s/step] Training: 55%|█████▍ | 38424/70000 [13:35:42<10:59:52, 1.25s/step] Training: 55%|█████▍ | 38425/70000 [13:35:43<10:53:38, 1.24s/step] Training: 55%|█████▍ | 38426/70000 [13:35:45<10:46:28, 1.23s/step] Training: 55%|█████▍ | 38427/70000 [13:35:46<10:40:52, 1.22s/step] Training: 55%|█████▍ | 38428/70000 [13:35:47<10:56:37, 1.25s/step] Training: 55%|█████▍ | 38429/70000 [13:35:48<10:54:29, 1.24s/step] Training: 55%|█████▍ | 38430/70000 [13:35:50<11:08:38, 1.27s/step] Training: 55%|█████▍ | 38431/70000 [13:35:51<11:14:15, 1.28s/step] Training: 55%|█████▍ | 38432/70000 [13:35:52<11:02:52, 1.26s/step] Training: 55%|█████▍ | 38433/70000 [13:35:53<11:14:22, 1.28s/step] Training: 55%|█████▍ | 38434/70000 [13:35:55<10:59:03, 1.25s/step] Training: 55%|█████▍ | 38435/70000 [13:35:56<10:49:23, 1.23s/step] Training: 55%|█████▍ | 38436/70000 [13:35:57<11:04:01, 1.26s/step] Training: 55%|█████▍ | 38437/70000 [13:35:58<10:53:02, 1.24s/step] Training: 55%|█████▍ | 38438/70000 [13:36:00<11:31:48, 1.32s/step] Training: 55%|█████▍ | 38439/70000 [13:36:01<11:36:43, 1.32s/step] Training: 55%|█████▍ | 38440/70000 [13:36:03<11:35:08, 1.32s/step] Training: 55%|█████▍ | 38441/70000 [13:36:04<11:36:06, 1.32s/step] Training: 55%|█████▍ | 38442/70000 [13:36:05<11:14:38, 1.28s/step] Training: 55%|█████▍ | 38443/70000 [13:36:06<11:00:02, 1.25s/step] Training: 55%|█████▍ | 38444/70000 [13:36:08<11:11:05, 1.28s/step] Training: 55%|█████▍ | 38445/70000 [13:36:09<10:58:45, 1.25s/step] Training: 55%|█████▍ | 38446/70000 [13:36:10<11:17:45, 1.29s/step] Training: 55%|█████▍ | 38447/70000 [13:36:11<11:29:19, 1.31s/step] Training: 55%|█████▍ | 38448/70000 [13:36:13<11:30:21, 1.31s/step] Training: 55%|█████▍ | 38449/70000 [13:36:14<11:37:44, 1.33s/step] Training: 55%|█████▍ | 38450/70000 [13:36:15<11:16:25, 1.29s/step] Training: 55%|█████▍ | 38451/70000 [13:36:17<11:00:59, 1.26s/step] Training: 55%|█████▍ | 38452/70000 [13:36:18<10:54:06, 1.24s/step] Training: 55%|█████▍ | 38453/70000 [13:36:19<10:54:35, 1.24s/step] Training: 55%|█████▍ | 38454/70000 [13:36:20<10:55:36, 1.25s/step] Training: 55%|█████▍ | 38455/70000 [13:36:21<10:46:54, 1.23s/step] Training: 55%|█████▍ | 38456/70000 [13:36:23<11:07:39, 1.27s/step] Training: 55%|█████▍ | 38457/70000 [13:36:24<10:59:45, 1.25s/step] Training: 55%|█████▍ | 38458/70000 [13:36:25<10:50:15, 1.24s/step] Training: 55%|█████▍ | 38459/70000 [13:36:26<10:43:50, 1.22s/step] Training: 55%|█████▍ | 38460/70000 [13:36:28<11:01:02, 1.26s/step] Training: 55%|█████▍ | 38461/70000 [13:36:29<10:55:09, 1.25s/step] Training: 55%|█████▍ | 38462/70000 [13:36:30<10:49:58, 1.24s/step] Training: 55%|█████▍ | 38463/70000 [13:36:31<11:01:36, 1.26s/step] Training: 55%|█████▍ | 38464/70000 [13:36:33<11:16:38, 1.29s/step] Training: 55%|█████▍ | 38465/70000 [13:36:34<11:22:21, 1.30s/step] Training: 55%|█████▍ | 38466/70000 [13:36:35<11:06:34, 1.27s/step] Training: 55%|█████▍ | 38467/70000 [13:36:37<10:54:42, 1.25s/step] Training: 55%|█████▍ | 38468/70000 [13:36:38<11:08:08, 1.27s/step] Training: 55%|█████▍ | 38469/70000 [13:36:39<11:19:33, 1.29s/step] Training: 55%|█████▍ | 38470/70000 [13:36:41<11:26:13, 1.31s/step] Training: 55%|█████▍ | 38471/70000 [13:36:42<11:16:10, 1.29s/step] Training: 55%|█████▍ | 38472/70000 [13:36:43<11:17:23, 1.29s/step] Training: 55%|█████▍ | 38473/70000 [13:36:45<11:41:04, 1.33s/step] Training: 55%|█████▍ | 38474/70000 [13:36:46<11:17:59, 1.29s/step] Training: 55%|█████▍ | 38475/70000 [13:36:47<11:01:38, 1.26s/step] Training: 55%|█████▍ | 38476/70000 [13:36:48<11:12:43, 1.28s/step] Training: 55%|█████▍ | 38477/70000 [13:36:50<11:21:53, 1.30s/step] Training: 55%|█████▍ | 38478/70000 [13:36:51<11:27:46, 1.31s/step] Training: 55%|█████▍ | 38479/70000 [13:36:52<11:10:55, 1.28s/step] Training: 55%|█████▍ | 38480/70000 [13:36:53<11:22:21, 1.30s/step] Training: 55%|█████▍ | 38481/70000 [13:36:55<11:34:39, 1.32s/step] Training: 55%|█████▍ | 38482/70000 [13:36:56<11:13:44, 1.28s/step] Training: 55%|█████▍ | 38483/70000 [13:36:57<10:58:31, 1.25s/step] Training: 55%|█████▍ | 38484/70000 [13:36:58<10:51:26, 1.24s/step] Training: 55%|█████▍ | 38485/70000 [13:37:00<10:49:25, 1.24s/step] Training: 55%|█████▍ | 38486/70000 [13:37:01<10:48:30, 1.23s/step] Training: 55%|█████▍ | 38487/70000 [13:37:02<11:02:06, 1.26s/step] Training: 55%|█████▍ | 38488/70000 [13:37:03<10:59:03, 1.25s/step] Training: 55%|█████▍ | 38489/70000 [13:37:05<10:50:56, 1.24s/step] Training: 55%|█████▍ | 38490/70000 [13:37:06<10:42:44, 1.22s/step] Training: 55%|█████▍ | 38491/70000 [13:37:07<10:38:10, 1.22s/step] Training: 55%|█████▍ | 38492/70000 [13:37:08<10:56:24, 1.25s/step] Training: 55%|█████▍ | 38493/70000 [13:37:10<10:50:58, 1.24s/step] Training: 55%|█████▍ | 38494/70000 [13:37:11<10:48:41, 1.24s/step] Training: 55%|█████▍ | 38495/70000 [13:37:12<11:03:38, 1.26s/step] Training: 55%|█████▍ | 38496/70000 [13:37:13<10:51:24, 1.24s/step] Training: 55%|█████▍ | 38497/70000 [13:37:15<11:26:28, 1.31s/step] Training: 55%|█████▍ | 38498/70000 [13:37:16<11:08:25, 1.27s/step] Training: 55%|█████▍ | 38499/70000 [13:37:17<10:55:20, 1.25s/step] Training: 55%|█████▌ | 38500/70000 [13:37:19<11:07:28, 1.27s/step]INFO 2026-03-13 09:47:11 ot_train.py:435 step:38K smpl:2M ep:8K epch:32.63 loss:0.013 grdn:1.880 lr:1.1e-05 updt_s:1.247 data_s:0.019 Training: 55%|█████▌ | 38501/70000 [13:37:20<11:16:56, 1.29s/step] Training: 55%|█████▌ | 38502/70000 [13:37:21<11:22:55, 1.30s/step] Training: 55%|█████▌ | 38503/70000 [13:37:22<11:27:15, 1.31s/step] Training: 55%|█████▌ | 38504/70000 [13:37:24<11:07:58, 1.27s/step] Training: 55%|█████▌ | 38505/70000 [13:37:25<11:33:09, 1.32s/step] Training: 55%|█████▌ | 38506/70000 [13:37:26<11:12:38, 1.28s/step] Training: 55%|█████▌ | 38507/70000 [13:37:27<10:57:54, 1.25s/step] Training: 55%|█████▌ | 38508/70000 [13:37:29<11:09:17, 1.28s/step] Training: 55%|█████▌ | 38509/70000 [13:37:30<11:19:17, 1.29s/step] Training: 55%|█████▌ | 38510/70000 [13:37:31<11:24:13, 1.30s/step] Training: 55%|█████▌ | 38511/70000 [13:37:33<11:10:02, 1.28s/step] Training: 55%|█████▌ | 38512/70000 [13:37:34<10:56:03, 1.25s/step] Training: 55%|█████▌ | 38513/70000 [13:37:35<11:19:08, 1.29s/step] Training: 55%|█████▌ | 38514/70000 [13:37:36<11:01:05, 1.26s/step] Training: 55%|█████▌ | 38515/70000 [13:37:38<10:49:23, 1.24s/step] Training: 55%|█████▌ | 38516/70000 [13:37:39<10:45:01, 1.23s/step] Training: 55%|█████▌ | 38517/70000 [13:37:40<10:46:18, 1.23s/step] Training: 55%|█████▌ | 38518/70000 [13:37:41<10:45:26, 1.23s/step] Training: 55%|█████▌ | 38519/70000 [13:37:43<11:00:44, 1.26s/step] Training: 55%|█████▌ | 38520/70000 [13:37:44<10:50:06, 1.24s/step] Training: 55%|█████▌ | 38521/70000 [13:37:45<10:48:54, 1.24s/step] Training: 55%|█████▌ | 38522/70000 [13:37:46<11:06:21, 1.27s/step] Training: 55%|█████▌ | 38523/70000 [13:37:48<10:52:06, 1.24s/step] Training: 55%|█████▌ | 38524/70000 [13:37:49<11:04:55, 1.27s/step] Training: 55%|█████▌ | 38525/70000 [13:37:50<10:56:12, 1.25s/step] Training: 55%|█████▌ | 38526/70000 [13:37:51<10:50:49, 1.24s/step] Training: 55%|█████▌ | 38527/70000 [13:37:53<11:04:17, 1.27s/step] Training: 55%|█████▌ | 38528/70000 [13:37:54<10:52:52, 1.24s/step] Training: 55%|█████▌ | 38529/70000 [13:37:55<11:07:49, 1.27s/step] Training: 55%|█████▌ | 38530/70000 [13:37:57<11:19:17, 1.30s/step] Training: 55%|█████▌ | 38531/70000 [13:37:58<11:01:26, 1.26s/step] Training: 55%|█████▌ | 38532/70000 [13:37:59<11:13:13, 1.28s/step] Training: 55%|█████▌ | 38533/70000 [13:38:00<10:59:26, 1.26s/step] Training: 55%|█████▌ | 38534/70000 [13:38:02<11:31:52, 1.32s/step] Training: 55%|█████▌ | 38535/70000 [13:38:03<11:33:02, 1.32s/step] Training: 55%|█████▌ | 38536/70000 [13:38:04<11:13:10, 1.28s/step] Training: 55%|█████▌ | 38537/70000 [13:38:06<11:20:01, 1.30s/step] Training: 55%|█████▌ | 38538/70000 [13:38:07<11:05:45, 1.27s/step] Training: 55%|█████▌ | 38539/70000 [13:38:08<10:51:55, 1.24s/step] Training: 55%|█████▌ | 38540/70000 [13:38:09<11:05:22, 1.27s/step] Training: 55%|█████▌ | 38541/70000 [13:38:11<11:17:07, 1.29s/step] Training: 55%|█████▌ | 38542/70000 [13:38:12<11:24:07, 1.30s/step] Training: 55%|█████▌ | 38543/70000 [13:38:13<11:08:57, 1.28s/step] Training: 55%|█████▌ | 38544/70000 [13:38:14<10:56:07, 1.25s/step] Training: 55%|█████▌ | 38545/70000 [13:38:16<11:14:43, 1.29s/step] Training: 55%|█████▌ | 38546/70000 [13:38:17<11:22:53, 1.30s/step] Training: 55%|█████▌ | 38547/70000 [13:38:18<11:04:01, 1.27s/step] Training: 55%|█████▌ | 38548/70000 [13:38:19<10:54:54, 1.25s/step] Training: 55%|█████▌ | 38549/70000 [13:38:21<10:47:47, 1.24s/step] Training: 55%|█████▌ | 38550/70000 [13:38:22<10:45:51, 1.23s/step] Training: 55%|█████▌ | 38551/70000 [13:38:23<11:00:58, 1.26s/step] Training: 55%|█████▌ | 38552/70000 [13:38:24<10:49:40, 1.24s/step] Training: 55%|█████▌ | 38553/70000 [13:38:26<10:45:15, 1.23s/step] Training: 55%|█████▌ | 38554/70000 [13:38:27<11:04:26, 1.27s/step] Training: 55%|█████▌ | 38555/70000 [13:38:28<10:50:48, 1.24s/step] Training: 55%|█████▌ | 38556/70000 [13:38:30<11:04:29, 1.27s/step] Training: 55%|█████▌ | 38557/70000 [13:38:31<11:01:31, 1.26s/step] Training: 55%|█████▌ | 38558/70000 [13:38:32<10:53:20, 1.25s/step] Training: 55%|█████▌ | 38559/70000 [13:38:33<11:05:18, 1.27s/step] Training: 55%|█████▌ | 38560/70000 [13:38:34<10:53:22, 1.25s/step] Training: 55%|█████▌ | 38561/70000 [13:38:36<11:06:30, 1.27s/step] Training: 55%|█████▌ | 38562/70000 [13:38:37<11:00:59, 1.26s/step] Training: 55%|█████▌ | 38563/70000 [13:38:38<10:48:24, 1.24s/step] Training: 55%|█████▌ | 38564/70000 [13:38:40<11:04:01, 1.27s/step] Training: 55%|█████▌ | 38565/70000 [13:38:41<10:51:29, 1.24s/step] Training: 55%|█████▌ | 38566/70000 [13:38:42<11:25:52, 1.31s/step] Training: 55%|█████▌ | 38567/70000 [13:38:44<11:30:25, 1.32s/step] Training: 55%|█████▌ | 38568/70000 [13:38:45<11:09:50, 1.28s/step] Training: 55%|█████▌ | 38569/70000 [13:38:46<11:18:36, 1.30s/step] Training: 55%|█████▌ | 38570/70000 [13:38:47<11:01:57, 1.26s/step] Training: 55%|█████▌ | 38571/70000 [13:38:49<11:16:43, 1.29s/step] Training: 55%|█████▌ | 38572/70000 [13:38:50<11:20:51, 1.30s/step] Training: 55%|█████▌ | 38573/70000 [13:38:51<11:25:31, 1.31s/step] Training: 55%|█████▌ | 38574/70000 [13:38:53<11:28:09, 1.31s/step] Training: 55%|█████▌ | 38575/70000 [13:38:54<11:10:59, 1.28s/step] Training: 55%|█████▌ | 38576/70000 [13:38:55<10:56:57, 1.25s/step] Training: 55%|█████▌ | 38577/70000 [13:38:56<11:14:32, 1.29s/step] Training: 55%|█████▌ | 38578/70000 [13:38:58<10:59:05, 1.26s/step] Training: 55%|█████▌ | 38579/70000 [13:38:59<11:11:20, 1.28s/step] Training: 55%|█████▌ | 38580/70000 [13:39:00<10:58:39, 1.26s/step] Training: 55%|█████▌ | 38581/70000 [13:39:01<10:52:26, 1.25s/step] Training: 55%|█████▌ | 38582/70000 [13:39:03<10:49:35, 1.24s/step] Training: 55%|█████▌ | 38583/70000 [13:39:04<11:03:40, 1.27s/step] Training: 55%|█████▌ | 38584/70000 [13:39:05<10:52:05, 1.25s/step] Training: 55%|█████▌ | 38585/70000 [13:39:06<10:47:28, 1.24s/step] Training: 55%|█████▌ | 38586/70000 [13:39:07<10:40:28, 1.22s/step] Training: 55%|█████▌ | 38587/70000 [13:39:09<11:04:53, 1.27s/step] Training: 55%|█████▌ | 38588/70000 [13:39:10<11:13:44, 1.29s/step] Training: 55%|█████▌ | 38589/70000 [13:39:11<11:04:54, 1.27s/step] Training: 55%|█████▌ | 38590/70000 [13:39:13<10:56:17, 1.25s/step] Training: 55%|█████▌ | 38591/70000 [13:39:14<11:07:14, 1.27s/step] Training: 55%|█████▌ | 38592/70000 [13:39:15<10:53:35, 1.25s/step] Training: 55%|█████▌ | 38593/70000 [13:39:16<11:05:54, 1.27s/step] Training: 55%|█████▌ | 38594/70000 [13:39:18<10:53:08, 1.25s/step] Training: 55%|█████▌ | 38595/70000 [13:39:19<10:43:31, 1.23s/step] Training: 55%|█████▌ | 38596/70000 [13:39:20<11:14:25, 1.29s/step] Training: 55%|█████▌ | 38597/70000 [13:39:21<10:58:38, 1.26s/step] Training: 55%|█████▌ | 38598/70000 [13:39:23<11:31:08, 1.32s/step] Training: 55%|█████▌ | 38599/70000 [13:39:24<11:30:47, 1.32s/step] Training: 55%|█████▌ | 38600/70000 [13:39:25<11:09:59, 1.28s/step]INFO 2026-03-13 09:49:18 ot_train.py:435 step:39K smpl:2M ep:8K epch:32.72 loss:0.014 grdn:2.095 lr:1.1e-05 updt_s:1.248 data_s:0.018 Training: 55%|█████▌ | 38601/70000 [13:39:27<11:19:27, 1.30s/step] Training: 55%|█████▌ | 38602/70000 [13:39:28<11:02:37, 1.27s/step] Training: 55%|█████▌ | 38603/70000 [13:39:29<10:50:42, 1.24s/step] Training: 55%|█████▌ | 38604/70000 [13:39:31<11:17:24, 1.29s/step] Training: 55%|█████▌ | 38605/70000 [13:39:32<11:01:13, 1.26s/step] Training: 55%|█████▌ | 38606/70000 [13:39:33<11:12:14, 1.28s/step] Training: 55%|█████▌ | 38607/70000 [13:39:34<11:03:00, 1.27s/step] Training: 55%|█████▌ | 38608/70000 [13:39:36<10:50:48, 1.24s/step] Training: 55%|█████▌ | 38609/70000 [13:39:37<11:11:41, 1.28s/step] Training: 55%|█████▌ | 38610/70000 [13:39:38<10:57:29, 1.26s/step] Training: 55%|█████▌ | 38611/70000 [13:39:39<10:46:31, 1.24s/step] Training: 55%|█████▌ | 38612/70000 [13:39:40<10:42:12, 1.23s/step] Training: 55%|█████▌ | 38613/70000 [13:39:42<11:17:59, 1.30s/step] Training: 55%|█████▌ | 38614/70000 [13:39:43<11:08:00, 1.28s/step] Training: 55%|█████▌ | 38615/70000 [13:39:44<11:16:16, 1.29s/step] Training: 55%|█████▌ | 38616/70000 [13:39:46<11:01:44, 1.27s/step] Training: 55%|█████▌ | 38617/70000 [13:39:47<10:54:09, 1.25s/step] Training: 55%|█████▌ | 38618/70000 [13:39:48<10:45:27, 1.23s/step] Training: 55%|█████▌ | 38619/70000 [13:39:49<10:37:41, 1.22s/step] Training: 55%|█████▌ | 38620/70000 [13:39:51<11:00:38, 1.26s/step] Training: 55%|█████▌ | 38621/70000 [13:39:52<10:52:28, 1.25s/step] Training: 55%|█████▌ | 38622/70000 [13:39:53<10:47:21, 1.24s/step] Training: 55%|█████▌ | 38623/70000 [13:39:54<11:00:15, 1.26s/step] Training: 55%|█████▌ | 38624/70000 [13:39:56<10:48:36, 1.24s/step] Training: 55%|█████▌ | 38625/70000 [13:39:57<11:04:20, 1.27s/step] Training: 55%|█████▌ | 38626/70000 [13:39:58<10:52:19, 1.25s/step] Training: 55%|█████▌ | 38627/70000 [13:39:59<10:41:44, 1.23s/step] Training: 55%|█████▌ | 38628/70000 [13:40:01<10:56:35, 1.26s/step] Training: 55%|█████▌ | 38629/70000 [13:40:02<11:08:01, 1.28s/step] Training: 55%|█████▌ | 38630/70000 [13:40:03<11:18:17, 1.30s/step] Training: 55%|█████▌ | 38631/70000 [13:40:05<11:21:40, 1.30s/step] Training: 55%|█████▌ | 38632/70000 [13:40:06<11:03:33, 1.27s/step] Training: 55%|█████▌ | 38633/70000 [13:40:07<11:12:43, 1.29s/step] Training: 55%|█████▌ | 38634/70000 [13:40:08<10:58:16, 1.26s/step] Training: 55%|█████▌ | 38635/70000 [13:40:10<10:47:24, 1.24s/step] Training: 55%|█████▌ | 38636/70000 [13:40:11<11:03:18, 1.27s/step] Training: 55%|█████▌ | 38637/70000 [13:40:12<11:25:31, 1.31s/step] Training: 55%|█████▌ | 38638/70000 [13:40:14<11:28:22, 1.32s/step] Training: 55%|█████▌ | 38639/70000 [13:40:15<11:12:42, 1.29s/step] Training: 55%|█████▌ | 38640/70000 [13:40:16<10:57:12, 1.26s/step] Training: 55%|█████▌ | 38641/70000 [13:40:17<11:12:19, 1.29s/step] Training: 55%|█████▌ | 38642/70000 [13:40:19<10:56:41, 1.26s/step] Training: 55%|█████▌ | 38643/70000 [13:40:20<10:46:45, 1.24s/step] Training: 55%|█████▌ | 38644/70000 [13:40:21<10:41:54, 1.23s/step] Training: 55%|█████▌ | 38645/70000 [13:40:22<10:47:33, 1.24s/step] Training: 55%|█████▌ | 38646/70000 [13:40:23<10:48:54, 1.24s/step] Training: 55%|█████▌ | 38647/70000 [13:40:25<10:59:39, 1.26s/step] Training: 55%|█████▌ | 38648/70000 [13:40:26<10:48:15, 1.24s/step] Training: 55%|█████▌ | 38649/70000 [13:40:27<10:44:52, 1.23s/step] Training: 55%|█████▌ | 38650/70000 [13:40:28<10:38:47, 1.22s/step] Training: 55%|█████▌ | 38651/70000 [13:40:30<10:34:01, 1.21s/step] Training: 55%|█████▌ | 38652/70000 [13:40:31<10:53:01, 1.25s/step] Training: 55%|█████▌ | 38653/70000 [13:40:32<10:47:27, 1.24s/step] Training: 55%|█████▌ | 38654/70000 [13:40:33<11:02:06, 1.27s/step] Training: 55%|█████▌ | 38655/70000 [13:40:35<11:10:51, 1.28s/step] Training: 55%|█████▌ | 38656/70000 [13:40:36<10:56:04, 1.26s/step] Training: 55%|█████▌ | 38657/70000 [13:40:37<11:10:15, 1.28s/step] Training: 55%|█████▌ | 38658/70000 [13:40:39<10:56:09, 1.26s/step] Training: 55%|█████▌ | 38659/70000 [13:40:40<10:45:30, 1.24s/step] Training: 55%|█████▌ | 38660/70000 [13:40:41<11:00:02, 1.26s/step] Training: 55%|█████▌ | 38661/70000 [13:40:42<11:13:52, 1.29s/step] Training: 55%|█████▌ | 38662/70000 [13:40:44<11:22:20, 1.31s/step] Training: 55%|█████▌ | 38663/70000 [13:40:45<11:25:49, 1.31s/step] Training: 55%|█████▌ | 38664/70000 [13:40:46<11:06:56, 1.28s/step] Training: 55%|█████▌ | 38665/70000 [13:40:48<11:16:19, 1.30s/step] Training: 55%|█████▌ | 38666/70000 [13:40:49<11:00:29, 1.26s/step] Training: 55%|█████▌ | 38667/70000 [13:40:50<10:48:35, 1.24s/step] Training: 55%|█████▌ | 38668/70000 [13:40:51<11:02:33, 1.27s/step] Training: 55%|█████▌ | 38669/70000 [13:40:53<11:13:55, 1.29s/step] Training: 55%|█████▌ | 38670/70000 [13:40:54<11:37:51, 1.34s/step] Training: 55%|█████▌ | 38671/70000 [13:40:55<11:29:56, 1.32s/step] Training: 55%|█████▌ | 38672/70000 [13:40:57<11:08:42, 1.28s/step] Training: 55%|█████▌ | 38673/70000 [13:40:58<11:24:00, 1.31s/step] Training: 55%|█████▌ | 38674/70000 [13:40:59<11:05:52, 1.28s/step] Training: 55%|█████▌ | 38675/70000 [13:41:00<10:55:36, 1.26s/step] Training: 55%|█████▌ | 38676/70000 [13:41:02<10:46:35, 1.24s/step] Training: 55%|█████▌ | 38677/70000 [13:41:03<10:45:58, 1.24s/step] Training: 55%|█████▌ | 38678/70000 [13:41:04<11:03:51, 1.27s/step] Training: 55%|█████▌ | 38679/70000 [13:41:05<10:50:00, 1.25s/step] Training: 55%|█████▌ | 38680/70000 [13:41:06<10:43:02, 1.23s/step] Training: 55%|█████▌ | 38681/70000 [13:41:08<10:40:09, 1.23s/step] Training: 55%|█████▌ | 38682/70000 [13:41:09<10:34:34, 1.22s/step] Training: 55%|█████▌ | 38683/70000 [13:41:10<10:30:16, 1.21s/step] Training: 55%|█████▌ | 38684/70000 [13:41:11<10:49:25, 1.24s/step] Training: 55%|█████▌ | 38685/70000 [13:41:13<10:45:14, 1.24s/step] Training: 55%|█████▌ | 38686/70000 [13:41:14<10:40:57, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=62193 Training: 55%|█████▌ | 38687/70000 [13:41:15<10:35:19, 1.22s/step] Training: 55%|█████▌ | 38688/70000 [13:41:16<10:30:32, 1.21s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=56227 Training: 55%|█████▌ | 38689/70000 [13:41:18<10:50:21, 1.25s/step] Training: 55%|█████▌ | 38690/70000 [13:41:19<10:41:43, 1.23s/step] Training: 55%|█████▌ | 38691/70000 [13:41:20<10:35:35, 1.22s/step] Training: 55%|█████▌ | 38692/70000 [13:41:21<10:52:15, 1.25s/step] Training: 55%|█████▌ | 38693/70000 [13:41:23<11:06:33, 1.28s/step] Training: 55%|█████▌ | 38694/70000 [13:41:24<11:23:29, 1.31s/step] Training: 55%|█████▌ | 38695/70000 [13:41:25<11:09:57, 1.28s/step] Training: 55%|█████▌ | 38696/70000 [13:41:26<10:56:04, 1.26s/step] Training: 55%|█████▌ | 38697/70000 [13:41:28<11:09:45, 1.28s/step] Training: 55%|█████▌ | 38698/70000 [13:41:29<10:55:11, 1.26s/step] Training: 55%|█████▌ | 38699/70000 [13:41:30<10:45:22, 1.24s/step] Training: 55%|█████▌ | 38700/70000 [13:41:31<11:00:01, 1.27s/step]INFO 2026-03-13 09:51:24 ot_train.py:435 step:39K smpl:2M ep:8K epch:32.80 loss:0.014 grdn:1.770 lr:1.1e-05 updt_s:1.239 data_s:0.019 Training: 55%|█████▌ | 38701/70000 [13:41:33<11:12:22, 1.29s/step] Training: 55%|█████▌ | 38702/70000 [13:41:34<11:18:49, 1.30s/step] Training: 55%|█████▌ | 38703/70000 [13:41:35<11:04:03, 1.27s/step] Training: 55%|█████▌ | 38704/70000 [13:41:37<10:51:43, 1.25s/step] Training: 55%|█████▌ | 38705/70000 [13:41:38<11:12:27, 1.29s/step] Training: 55%|█████▌ | 38706/70000 [13:41:39<10:58:14, 1.26s/step] Training: 55%|█████▌ | 38707/70000 [13:41:40<10:47:28, 1.24s/step] Training: 55%|█████▌ | 38708/70000 [13:41:42<10:43:11, 1.23s/step] Training: 55%|█████▌ | 38709/70000 [13:41:43<10:42:40, 1.23s/step] Training: 55%|█████▌ | 38710/70000 [13:41:44<10:43:04, 1.23s/step] Training: 55%|█████▌ | 38711/70000 [13:41:45<11:16:07, 1.30s/step] Training: 55%|█████▌ | 38712/70000 [13:41:47<10:59:10, 1.26s/step] Training: 55%|█████▌ | 38713/70000 [13:41:48<10:51:44, 1.25s/step] Training: 55%|█████▌ | 38714/70000 [13:41:49<10:42:32, 1.23s/step] Training: 55%|█████▌ | 38715/70000 [13:41:50<10:36:44, 1.22s/step] Training: 55%|█████▌ | 38716/70000 [13:41:52<10:54:28, 1.26s/step] Training: 55%|█████▌ | 38717/70000 [13:41:53<10:52:20, 1.25s/step] Training: 55%|█████▌ | 38718/70000 [13:41:54<10:45:59, 1.24s/step] Training: 55%|█████▌ | 38719/70000 [13:41:55<11:13:53, 1.29s/step] Training: 55%|█████▌ | 38720/70000 [13:41:57<10:57:56, 1.26s/step] Training: 55%|█████▌ | 38721/70000 [13:41:58<11:08:16, 1.28s/step] Training: 55%|█████▌ | 38722/70000 [13:41:59<10:54:39, 1.26s/step] Training: 55%|█████▌ | 38723/70000 [13:42:00<10:43:46, 1.23s/step] Training: 55%|█████▌ | 38724/70000 [13:42:02<11:00:11, 1.27s/step] Training: 55%|█████▌ | 38725/70000 [13:42:03<11:12:16, 1.29s/step] Training: 55%|█████▌ | 38726/70000 [13:42:04<11:17:42, 1.30s/step] Training: 55%|█████▌ | 38727/70000 [13:42:06<11:30:14, 1.32s/step] Training: 55%|█████▌ | 38728/70000 [13:42:07<11:07:31, 1.28s/step] Training: 55%|█████▌ | 38729/70000 [13:42:08<11:14:05, 1.29s/step] Training: 55%|█████▌ | 38730/70000 [13:42:09<10:58:24, 1.26s/step] Training: 55%|█████▌ | 38731/70000 [13:42:11<10:47:10, 1.24s/step] Training: 55%|█████▌ | 38732/70000 [13:42:12<10:44:54, 1.24s/step] Training: 55%|█████▌ | 38733/70000 [13:42:13<11:00:12, 1.27s/step] Training: 55%|█████▌ | 38734/70000 [13:42:15<11:11:57, 1.29s/step] Training: 55%|█████▌ | 38735/70000 [13:42:16<11:23:40, 1.31s/step] Training: 55%|█████▌ | 38736/70000 [13:42:17<11:03:17, 1.27s/step] Training: 55%|█████▌ | 38737/70000 [13:42:18<11:19:51, 1.30s/step] Training: 55%|█████▌ | 38738/70000 [13:42:20<11:02:29, 1.27s/step] Training: 55%|█████▌ | 38739/70000 [13:42:21<10:49:40, 1.25s/step] Training: 55%|█████▌ | 38740/70000 [13:42:22<10:45:21, 1.24s/step] Training: 55%|█████▌ | 38741/70000 [13:42:23<10:44:53, 1.24s/step] Training: 55%|█████▌ | 38742/70000 [13:42:25<10:45:03, 1.24s/step] Training: 55%|█████▌ | 38743/70000 [13:42:26<10:58:50, 1.26s/step] Training: 55%|█████▌ | 38744/70000 [13:42:27<11:10:53, 1.29s/step] Training: 55%|█████▌ | 38745/70000 [13:42:28<10:58:30, 1.26s/step] Training: 55%|█████▌ | 38746/70000 [13:42:30<10:47:17, 1.24s/step] Training: 55%|█████▌ | 38747/70000 [13:42:31<10:38:51, 1.23s/step] Training: 55%|█████▌ | 38748/70000 [13:42:32<10:54:47, 1.26s/step] Training: 55%|█████▌ | 38749/70000 [13:42:33<10:52:58, 1.25s/step] Training: 55%|█████▌ | 38750/70000 [13:42:35<10:47:21, 1.24s/step] Training: 55%|█████▌ | 38751/70000 [13:42:36<10:59:49, 1.27s/step] Training: 55%|█████▌ | 38752/70000 [13:42:37<11:10:30, 1.29s/step] Training: 55%|█████▌ | 38753/70000 [13:42:39<11:16:04, 1.30s/step] Training: 55%|█████▌ | 38754/70000 [13:42:40<10:59:13, 1.27s/step] Training: 55%|█████▌ | 38755/70000 [13:42:41<10:46:59, 1.24s/step] Training: 55%|█████▌ | 38756/70000 [13:42:42<10:59:04, 1.27s/step] Training: 55%|█████▌ | 38757/70000 [13:42:44<11:10:41, 1.29s/step] Training: 55%|█████▌ | 38758/70000 [13:42:45<11:17:28, 1.30s/step] Training: 55%|█████▌ | 38759/70000 [13:42:46<11:06:14, 1.28s/step] Training: 55%|█████▌ | 38760/70000 [13:42:47<10:58:57, 1.27s/step] Training: 55%|█████▌ | 38761/70000 [13:42:49<11:09:14, 1.29s/step] Training: 55%|█████▌ | 38762/70000 [13:42:50<10:54:00, 1.26s/step] Training: 55%|█████▌ | 38763/70000 [13:42:51<10:43:30, 1.24s/step] Training: 55%|█████▌ | 38764/70000 [13:42:52<10:43:41, 1.24s/step] Training: 55%|█████▌ | 38765/70000 [13:42:54<10:59:14, 1.27s/step] Training: 55%|█████▌ | 38766/70000 [13:42:55<11:08:23, 1.28s/step] Training: 55%|█████▌ | 38767/70000 [13:42:56<10:56:59, 1.26s/step] Training: 55%|█████▌ | 38768/70000 [13:42:58<11:02:10, 1.27s/step] Training: 55%|█████▌ | 38769/70000 [13:42:59<11:15:40, 1.30s/step] Training: 55%|█████▌ | 38770/70000 [13:43:00<10:58:42, 1.27s/step] Training: 55%|█████▌ | 38771/70000 [13:43:01<10:46:39, 1.24s/step] Training: 55%|█████▌ | 38772/70000 [13:43:02<10:43:07, 1.24s/step] Training: 55%|█████▌ | 38773/70000 [13:43:04<10:44:09, 1.24s/step] Training: 55%|█████▌ | 38774/70000 [13:43:05<10:42:07, 1.23s/step] Training: 55%|█████▌ | 38775/70000 [13:43:06<10:56:28, 1.26s/step] Training: 55%|█████▌ | 38776/70000 [13:43:07<10:45:21, 1.24s/step] Training: 55%|█████▌ | 38777/70000 [13:43:09<11:00:31, 1.27s/step] Training: 55%|█████▌ | 38778/70000 [13:43:10<10:46:42, 1.24s/step] Training: 55%|█████▌ | 38779/70000 [13:43:11<10:38:34, 1.23s/step] Training: 55%|█████▌ | 38780/70000 [13:43:12<10:53:46, 1.26s/step] Training: 55%|█████▌ | 38781/70000 [13:43:14<10:47:35, 1.24s/step] Training: 55%|█████▌ | 38782/70000 [13:43:15<10:43:23, 1.24s/step] Training: 55%|█████▌ | 38783/70000 [13:43:16<10:36:31, 1.22s/step] Training: 55%|█████▌ | 38784/70000 [13:43:17<10:51:13, 1.25s/step] Training: 55%|█████▌ | 38785/70000 [13:43:19<11:15:02, 1.30s/step] Training: 55%|█████▌ | 38786/70000 [13:43:20<10:58:48, 1.27s/step] Training: 55%|█████▌ | 38787/70000 [13:43:21<10:46:41, 1.24s/step] Training: 55%|█████▌ | 38788/70000 [13:43:23<11:00:03, 1.27s/step] Training: 55%|█████▌ | 38789/70000 [13:43:24<11:10:13, 1.29s/step] Training: 55%|█████▌ | 38790/70000 [13:43:25<11:16:23, 1.30s/step] Training: 55%|█████▌ | 38791/70000 [13:43:26<11:01:04, 1.27s/step] Training: 55%|█████▌ | 38792/70000 [13:43:28<11:04:28, 1.28s/step] Training: 55%|█████▌ | 38793/70000 [13:43:29<11:14:49, 1.30s/step] Training: 55%|█████▌ | 38794/70000 [13:43:30<11:38:14, 1.34s/step] Training: 55%|█████▌ | 38795/70000 [13:43:32<11:13:38, 1.30s/step] Training: 55%|█████▌ | 38796/70000 [13:43:33<11:03:05, 1.28s/step] Training: 55%|█████▌ | 38797/70000 [13:43:34<11:11:34, 1.29s/step] Training: 55%|█████▌ | 38798/70000 [13:43:36<11:17:21, 1.30s/step] Training: 55%|█████▌ | 38799/70000 [13:43:37<10:59:35, 1.27s/step] Training: 55%|█████▌ | 38800/70000 [13:43:38<10:47:35, 1.25s/step]INFO 2026-03-13 09:53:30 ot_train.py:435 step:39K smpl:2M ep:8K epch:32.89 loss:0.013 grdn:1.755 lr:1.1e-05 updt_s:1.244 data_s:0.018 Training: 55%|█████▌ | 38801/70000 [13:43:39<11:10:01, 1.29s/step] Training: 55%|█████▌ | 38802/70000 [13:43:41<10:53:01, 1.26s/step] Training: 55%|█████▌ | 38803/70000 [13:43:42<10:42:01, 1.23s/step] Training: 55%|█████▌ | 38804/70000 [13:43:43<10:39:09, 1.23s/step] Training: 55%|█████▌ | 38805/70000 [13:43:44<10:38:03, 1.23s/step] Training: 55%|█████▌ | 38806/70000 [13:43:45<10:38:02, 1.23s/step] Training: 55%|█████▌ | 38807/70000 [13:43:47<10:31:04, 1.21s/step] Training: 55%|█████▌ | 38808/70000 [13:43:48<10:44:20, 1.24s/step] Training: 55%|█████▌ | 38809/70000 [13:43:49<10:42:13, 1.24s/step] Training: 55%|█████▌ | 38810/70000 [13:43:50<10:58:21, 1.27s/step] Training: 55%|█████▌ | 38811/70000 [13:43:52<10:46:09, 1.24s/step] Training: 55%|█████▌ | 38812/70000 [13:43:53<10:59:33, 1.27s/step] Training: 55%|█████▌ | 38813/70000 [13:43:54<10:51:28, 1.25s/step] Training: 55%|█████▌ | 38814/70000 [13:43:55<10:45:13, 1.24s/step] Training: 55%|█████▌ | 38815/70000 [13:43:57<10:37:38, 1.23s/step] Training: 55%|█████▌ | 38816/70000 [13:43:58<10:52:33, 1.26s/step] Training: 55%|█████▌ | 38817/70000 [13:43:59<11:06:16, 1.28s/step] Training: 55%|█████▌ | 38818/70000 [13:44:01<11:16:29, 1.30s/step] Training: 55%|█████▌ | 38819/70000 [13:44:02<10:57:41, 1.27s/step] Training: 55%|█████▌ | 38820/70000 [13:44:03<11:07:46, 1.29s/step] Training: 55%|█████▌ | 38821/70000 [13:44:04<11:16:33, 1.30s/step] Training: 55%|█████▌ | 38822/70000 [13:44:06<11:21:29, 1.31s/step] Training: 55%|█████▌ | 38823/70000 [13:44:07<11:03:06, 1.28s/step] Training: 55%|█████▌ | 38824/70000 [13:44:08<10:52:01, 1.25s/step] Training: 55%|█████▌ | 38825/70000 [13:44:09<11:03:37, 1.28s/step] Training: 55%|█████▌ | 38826/70000 [13:44:11<11:10:53, 1.29s/step] Training: 55%|█████▌ | 38827/70000 [13:44:12<10:54:59, 1.26s/step] Training: 55%|█████▌ | 38828/70000 [13:44:13<10:48:35, 1.25s/step] Training: 55%|█████▌ | 38829/70000 [13:44:15<11:00:59, 1.27s/step] Training: 55%|█████▌ | 38830/70000 [13:44:16<11:08:47, 1.29s/step] Training: 55%|█████▌ | 38831/70000 [13:44:17<10:53:17, 1.26s/step] Training: 55%|█████▌ | 38832/70000 [13:44:18<11:04:18, 1.28s/step] Training: 55%|█████▌ | 38833/70000 [13:44:20<11:15:56, 1.30s/step] Training: 55%|█████▌ | 38834/70000 [13:44:21<11:19:49, 1.31s/step] Training: 55%|█████▌ | 38835/70000 [13:44:22<11:00:08, 1.27s/step] Training: 55%|█████▌ | 38836/70000 [13:44:23<10:51:40, 1.25s/step] Training: 55%|█████▌ | 38837/70000 [13:44:25<10:47:02, 1.25s/step] Training: 55%|█████▌ | 38838/70000 [13:44:26<10:43:58, 1.24s/step] Training: 55%|█████▌ | 38839/70000 [13:44:27<10:37:07, 1.23s/step] Training: 55%|█████▌ | 38840/70000 [13:44:28<10:54:09, 1.26s/step] Training: 55%|█████▌ | 38841/70000 [13:44:30<10:46:39, 1.25s/step] Training: 55%|█████▌ | 38842/70000 [13:44:31<10:45:39, 1.24s/step] Training: 55%|█████▌ | 38843/70000 [13:44:32<10:35:44, 1.22s/step] Training: 55%|█████▌ | 38844/70000 [13:44:33<10:53:37, 1.26s/step] Training: 55%|█████▌ | 38845/70000 [13:44:35<10:49:35, 1.25s/step] Training: 55%|█████▌ | 38846/70000 [13:44:36<10:46:33, 1.25s/step] Training: 55%|█████▌ | 38847/70000 [13:44:37<10:37:32, 1.23s/step] Training: 55%|█████▌ | 38848/70000 [13:44:38<10:53:30, 1.26s/step] Training: 55%|█████▌ | 38849/70000 [13:44:40<11:03:48, 1.28s/step] Training: 56%|█████▌ | 38850/70000 [13:44:41<10:51:13, 1.25s/step] Training: 56%|█████▌ | 38851/70000 [13:44:42<11:06:52, 1.28s/step] Training: 56%|█████▌ | 38852/70000 [13:44:44<11:14:06, 1.30s/step] Training: 56%|█████▌ | 38853/70000 [13:44:45<11:20:51, 1.31s/step] Training: 56%|█████▌ | 38854/70000 [13:44:46<11:21:37, 1.31s/step] Training: 56%|█████▌ | 38855/70000 [13:44:47<11:01:55, 1.28s/step] Training: 56%|█████▌ | 38856/70000 [13:44:49<10:52:02, 1.26s/step] Training: 56%|█████▌ | 38857/70000 [13:44:50<11:02:17, 1.28s/step] Training: 56%|█████▌ | 38858/70000 [13:44:51<11:09:33, 1.29s/step] Training: 56%|█████▌ | 38859/70000 [13:44:53<11:08:28, 1.29s/step] Training: 56%|█████▌ | 38860/70000 [13:44:54<10:59:40, 1.27s/step] Training: 56%|█████▌ | 38861/70000 [13:44:55<11:08:40, 1.29s/step] Training: 56%|█████▌ | 38862/70000 [13:44:56<11:18:03, 1.31s/step] Training: 56%|█████▌ | 38863/70000 [13:44:58<10:59:56, 1.27s/step] Training: 56%|█████▌ | 38864/70000 [13:44:59<11:09:29, 1.29s/step] Training: 56%|█████▌ | 38865/70000 [13:45:00<11:16:12, 1.30s/step] Training: 56%|█████▌ | 38866/70000 [13:45:02<11:15:02, 1.30s/step] Training: 56%|█████▌ | 38867/70000 [13:45:03<11:41:26, 1.35s/step] Training: 56%|█████▌ | 38868/70000 [13:45:04<11:17:43, 1.31s/step] Training: 56%|█████▌ | 38869/70000 [13:45:06<11:06:44, 1.29s/step] Training: 56%|█████▌ | 38870/70000 [13:45:07<10:57:49, 1.27s/step] Training: 56%|█████▌ | 38871/70000 [13:45:08<10:45:12, 1.24s/step] Training: 56%|█████▌ | 38872/70000 [13:45:09<10:58:54, 1.27s/step] Training: 56%|█████▌ | 38873/70000 [13:45:11<10:50:17, 1.25s/step] Training: 56%|█████▌ | 38874/70000 [13:45:12<11:01:27, 1.28s/step] Training: 56%|█████▌ | 38875/70000 [13:45:13<11:13:02, 1.30s/step] Training: 56%|█████▌ | 38876/70000 [13:45:15<11:17:02, 1.31s/step] Training: 56%|█████▌ | 38877/70000 [13:45:16<11:02:14, 1.28s/step] Training: 56%|█████▌ | 38878/70000 [13:45:17<10:52:46, 1.26s/step] Training: 56%|█████▌ | 38879/70000 [13:45:18<10:42:07, 1.24s/step] Training: 56%|█████▌ | 38880/70000 [13:45:19<10:55:54, 1.26s/step] Training: 56%|█████▌ | 38881/70000 [13:45:21<11:05:58, 1.28s/step] Training: 56%|█████▌ | 38882/70000 [13:45:22<11:08:56, 1.29s/step] Training: 56%|█████▌ | 38883/70000 [13:45:23<10:52:42, 1.26s/step] Training: 56%|█████▌ | 38884/70000 [13:45:25<11:05:53, 1.28s/step] Training: 56%|█████▌ | 38885/70000 [13:45:26<11:12:37, 1.30s/step] Training: 56%|█████▌ | 38886/70000 [13:45:27<11:29:09, 1.33s/step] Training: 56%|█████▌ | 38887/70000 [13:45:29<11:07:28, 1.29s/step] Training: 56%|█████▌ | 38888/70000 [13:45:30<10:55:28, 1.26s/step] Training: 56%|█████▌ | 38889/70000 [13:45:31<11:04:21, 1.28s/step] Training: 56%|█████▌ | 38890/70000 [13:45:32<11:11:37, 1.30s/step] Training: 56%|█████▌ | 38891/70000 [13:45:34<10:55:24, 1.26s/step] Training: 56%|█████▌ | 38892/70000 [13:45:35<11:06:52, 1.29s/step] Training: 56%|█████▌ | 38893/70000 [13:45:36<11:25:03, 1.32s/step] Training: 56%|█████▌ | 38894/70000 [13:45:38<11:26:18, 1.32s/step] Training: 56%|█████▌ | 38895/70000 [13:45:39<11:05:10, 1.28s/step] Training: 56%|█████▌ | 38896/70000 [13:45:40<11:11:04, 1.29s/step] Training: 56%|█████▌ | 38897/70000 [13:45:42<11:16:48, 1.31s/step] Training: 56%|█████▌ | 38898/70000 [13:45:43<11:02:59, 1.28s/step] Training: 56%|█████▌ | 38899/70000 [13:45:44<11:05:27, 1.28s/step] Training: 56%|█████▌ | 38900/70000 [13:45:45<10:55:25, 1.26s/step]INFO 2026-03-13 09:55:37 ot_train.py:435 step:39K smpl:2M ep:8K epch:32.97 loss:0.013 grdn:1.609 lr:1.1e-05 updt_s:1.252 data_s:0.019 Training: 56%|█████▌ | 38901/70000 [13:45:46<10:47:52, 1.25s/step] Training: 56%|█████▌ | 38902/70000 [13:45:48<10:42:52, 1.24s/step] Training: 56%|█████▌ | 38903/70000 [13:45:49<10:34:36, 1.22s/step] Training: 56%|█████▌ | 38904/70000 [13:45:50<10:51:08, 1.26s/step] Training: 56%|█████▌ | 38905/70000 [13:45:51<10:44:17, 1.24s/step] Training: 56%|█████▌ | 38906/70000 [13:45:53<10:59:32, 1.27s/step] Training: 56%|█████▌ | 38907/70000 [13:45:54<10:46:49, 1.25s/step] Training: 56%|█████▌ | 38908/70000 [13:45:55<10:47:55, 1.25s/step] Training: 56%|█████▌ | 38909/70000 [13:45:57<10:59:42, 1.27s/step] Training: 56%|█████▌ | 38910/70000 [13:45:58<10:52:18, 1.26s/step] Training: 56%|█████▌ | 38911/70000 [13:45:59<10:41:55, 1.24s/step] Training: 56%|█████▌ | 38912/70000 [13:46:00<10:55:16, 1.26s/step] Training: 56%|█████▌ | 38913/70000 [13:46:02<11:05:57, 1.29s/step] Training: 56%|█████▌ | 38914/70000 [13:46:03<11:16:06, 1.30s/step] Training: 56%|█████▌ | 38915/70000 [13:46:04<10:58:22, 1.27s/step] Training: 56%|█████▌ | 38916/70000 [13:46:05<10:46:28, 1.25s/step] Training: 56%|█████▌ | 38917/70000 [13:46:07<11:20:56, 1.31s/step] Training: 56%|█████▌ | 38918/70000 [13:46:08<11:02:39, 1.28s/step] Training: 56%|█████▌ | 38919/70000 [13:46:09<11:08:10, 1.29s/step] Training: 56%|█████▌ | 38920/70000 [13:46:11<10:55:30, 1.27s/step] Training: 56%|█████▌ | 38921/70000 [13:46:12<11:04:56, 1.28s/step] Training: 56%|█████▌ | 38922/70000 [13:46:13<11:13:31, 1.30s/step] Training: 56%|█████▌ | 38923/70000 [13:46:14<10:56:28, 1.27s/step] Training: 56%|█████▌ | 38924/70000 [13:46:16<10:44:24, 1.24s/step] Training: 56%|█████▌ | 38925/70000 [13:46:17<11:14:56, 1.30s/step] Training: 56%|█████▌ | 38926/70000 [13:46:18<10:57:07, 1.27s/step] Training: 56%|█████▌ | 38927/70000 [13:46:19<10:44:50, 1.25s/step] Training: 56%|█████▌ | 38928/70000 [13:46:21<10:56:38, 1.27s/step] Training: 56%|█████▌ | 38929/70000 [13:46:22<11:06:17, 1.29s/step] Training: 56%|█████▌ | 38930/70000 [13:46:23<10:54:38, 1.26s/step] Training: 56%|█████▌ | 38931/70000 [13:46:25<11:00:49, 1.28s/step] Training: 56%|█████▌ | 38932/70000 [13:46:26<10:46:49, 1.25s/step] Training: 56%|█████▌ | 38933/70000 [13:46:27<11:02:52, 1.28s/step] Training: 56%|█████▌ | 38934/70000 [13:46:28<11:11:16, 1.30s/step] Training: 56%|█████▌ | 38935/70000 [13:46:30<10:52:54, 1.26s/step] Training: 56%|█████▌ | 38936/70000 [13:46:31<11:02:59, 1.28s/step] Training: 56%|█████▌ | 38937/70000 [13:46:32<10:53:03, 1.26s/step] Training: 56%|█████▌ | 38938/70000 [13:46:33<11:04:27, 1.28s/step] Training: 56%|█████▌ | 38939/70000 [13:46:35<10:49:24, 1.25s/step] Training: 56%|█████▌ | 38940/70000 [13:46:37<13:44:23, 1.59s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 56%|█████▌ | 38941/70000 [13:46:41<20:48:18, 2.41s/step] Training: 56%|█████▌ | 38942/70000 [13:46:43<17:52:07, 2.07s/step] Training: 56%|█████▌ | 38943/70000 [13:46:44<15:33:38, 1.80s/step] Training: 56%|█████▌ | 38944/70000 [13:46:45<14:27:55, 1.68s/step] Training: 56%|█████▌ | 38945/70000 [13:46:47<13:45:56, 1.60s/step] Training: 56%|█████▌ | 38946/70000 [13:46:48<13:02:16, 1.51s/step] Training: 56%|█████▌ | 38947/70000 [13:46:49<12:43:16, 1.47s/step] Training: 56%|█████▌ | 38948/70000 [13:46:51<11:59:23, 1.39s/step] Training: 56%|█████▌ | 38949/70000 [13:46:52<11:53:27, 1.38s/step] Training: 56%|█████▌ | 38950/70000 [13:46:53<12:01:36, 1.39s/step] Training: 56%|█████▌ | 38951/70000 [13:46:54<11:29:34, 1.33s/step] Training: 56%|█████▌ | 38952/70000 [13:46:56<11:10:18, 1.30s/step] Training: 56%|█████▌ | 38953/70000 [13:46:57<11:16:31, 1.31s/step] Training: 56%|█████▌ | 38954/70000 [13:46:58<11:03:00, 1.28s/step] Training: 56%|█████▌ | 38955/70000 [13:47:00<11:11:33, 1.30s/step] Training: 56%|█████▌ | 38956/70000 [13:47:01<10:55:06, 1.27s/step] Training: 56%|█████▌ | 38957/70000 [13:47:02<11:06:08, 1.29s/step] Training: 56%|█████▌ | 38958/70000 [13:47:04<11:31:19, 1.34s/step] Training: 56%|█████▌ | 38959/70000 [13:47:05<11:08:22, 1.29s/step] Training: 56%|█████▌ | 38960/70000 [13:47:06<11:15:03, 1.30s/step] Training: 56%|█████▌ | 38961/70000 [13:47:07<11:18:57, 1.31s/step] Training: 56%|█████▌ | 38962/70000 [13:47:09<11:00:28, 1.28s/step] Training: 56%|█████▌ | 38963/70000 [13:47:10<11:08:07, 1.29s/step] Training: 56%|█████▌ | 38964/70000 [13:47:11<10:52:56, 1.26s/step] Training: 56%|█████▌ | 38965/70000 [13:47:12<11:06:04, 1.29s/step] Training: 56%|█████▌ | 38966/70000 [13:47:14<10:57:35, 1.27s/step] Training: 56%|█████▌ | 38967/70000 [13:47:15<10:44:47, 1.25s/step] Training: 56%|█████▌ | 38968/70000 [13:47:16<10:58:07, 1.27s/step] Training: 56%|█████▌ | 38969/70000 [13:47:17<10:48:41, 1.25s/step] Training: 56%|█████▌ | 38970/70000 [13:47:19<11:00:40, 1.28s/step] Training: 56%|█████▌ | 38971/70000 [13:47:20<10:49:22, 1.26s/step] Training: 56%|█████▌ | 38972/70000 [13:47:21<10:39:14, 1.24s/step] Training: 56%|█████▌ | 38973/70000 [13:47:23<10:54:19, 1.27s/step] Training: 56%|█████▌ | 38974/70000 [13:47:24<10:55:29, 1.27s/step] Training: 56%|█████▌ | 38975/70000 [13:47:25<10:43:54, 1.25s/step] Training: 56%|█████▌ | 38976/70000 [13:47:26<10:56:45, 1.27s/step] Training: 56%|█████▌ | 38977/70000 [13:47:28<11:05:13, 1.29s/step] Training: 56%|█████▌ | 38978/70000 [13:47:29<10:52:55, 1.26s/step] Training: 56%|█████▌ | 38979/70000 [13:47:30<10:46:18, 1.25s/step] Training: 56%|█████▌ | 38980/70000 [13:47:31<10:36:33, 1.23s/step] Training: 56%|█████▌ | 38981/70000 [13:47:33<10:52:34, 1.26s/step] Training: 56%|█████▌ | 38982/70000 [13:47:34<11:05:14, 1.29s/step] Training: 56%|█████▌ | 38983/70000 [13:47:35<10:49:59, 1.26s/step] Training: 56%|█████▌ | 38984/70000 [13:47:36<10:42:09, 1.24s/step] Training: 56%|█████▌ | 38985/70000 [13:47:38<10:57:20, 1.27s/step] Training: 56%|█████▌ | 38986/70000 [13:47:39<10:52:20, 1.26s/step] Training: 56%|█████▌ | 38987/70000 [13:47:40<10:41:25, 1.24s/step] Training: 56%|█████▌ | 38988/70000 [13:47:41<10:53:01, 1.26s/step] Training: 56%|█████▌ | 38989/70000 [13:47:43<10:45:32, 1.25s/step] Training: 56%|█████▌ | 38990/70000 [13:47:44<10:59:43, 1.28s/step] Training: 56%|█████▌ | 38991/70000 [13:47:45<11:12:18, 1.30s/step] Training: 56%|█████▌ | 38992/70000 [13:47:47<11:14:39, 1.31s/step] Training: 56%|█████▌ | 38993/70000 [13:47:48<11:18:41, 1.31s/step] Training: 56%|█████▌ | 38994/70000 [13:47:49<10:59:45, 1.28s/step] Training: 56%|█████▌ | 38995/70000 [13:47:50<11:03:55, 1.28s/step] Training: 56%|█████▌ | 38996/70000 [13:47:52<10:50:01, 1.26s/step] Training: 56%|█████▌ | 38997/70000 [13:47:53<11:03:21, 1.28s/step] Training: 56%|█████▌ | 38998/70000 [13:47:54<10:56:16, 1.27s/step] Training: 56%|█████▌ | 38999/70000 [13:47:56<11:00:36, 1.28s/step] Training: 56%|█████▌ | 39000/70000 [13:47:57<11:06:10, 1.29s/step]INFO 2026-03-13 09:57:49 ot_train.py:435 step:39K smpl:2M ep:8K epch:33.06 loss:0.013 grdn:1.761 lr:1.1e-05 updt_s:1.255 data_s:0.059 Training: 56%|█████▌ | 39001/70000 [13:47:58<10:55:18, 1.27s/step] Training: 56%|█████▌ | 39002/70000 [13:47:59<11:07:15, 1.29s/step] Training: 56%|█████▌ | 39003/70000 [13:48:01<10:56:17, 1.27s/step] Training: 56%|█████▌ | 39004/70000 [13:48:02<10:47:30, 1.25s/step] Training: 56%|█████▌ | 39005/70000 [13:48:03<10:59:29, 1.28s/step] Training: 56%|█████▌ | 39006/70000 [13:48:04<10:51:17, 1.26s/step] Training: 56%|█████▌ | 39007/70000 [13:48:06<11:07:14, 1.29s/step] Training: 56%|█████▌ | 39008/70000 [13:48:07<11:10:28, 1.30s/step] Training: 56%|█████▌ | 39009/70000 [13:48:08<11:15:49, 1.31s/step] Training: 56%|█████▌ | 39010/70000 [13:48:10<11:01:09, 1.28s/step] Training: 56%|█████▌ | 39011/70000 [13:48:11<10:48:09, 1.25s/step] Training: 56%|█████▌ | 39012/70000 [13:48:12<10:38:04, 1.24s/step] Training: 56%|█████▌ | 39013/70000 [13:48:13<10:51:24, 1.26s/step] Training: 56%|█████▌ | 39014/70000 [13:48:15<11:03:08, 1.28s/step] Training: 56%|█████▌ | 39015/70000 [13:48:16<11:14:04, 1.31s/step] Training: 56%|█████▌ | 39016/70000 [13:48:17<10:57:00, 1.27s/step] Training: 56%|█████▌ | 39017/70000 [13:48:19<11:06:37, 1.29s/step] Training: 56%|█████▌ | 39018/70000 [13:48:20<10:56:26, 1.27s/step] Training: 56%|█████▌ | 39019/70000 [13:48:21<11:06:13, 1.29s/step] Training: 56%|█████▌ | 39020/70000 [13:48:22<10:50:22, 1.26s/step] Training: 56%|█████▌ | 39021/70000 [13:48:24<11:01:27, 1.28s/step] Training: 56%|█████▌ | 39022/70000 [13:48:25<11:09:45, 1.30s/step] Training: 56%|█████▌ | 39023/70000 [13:48:26<10:52:51, 1.26s/step] Training: 56%|█████▌ | 39024/70000 [13:48:28<11:19:48, 1.32s/step] Training: 56%|█████▌ | 39025/70000 [13:48:29<11:24:13, 1.33s/step] Training: 56%|█████▌ | 39026/70000 [13:48:30<11:03:59, 1.29s/step] Training: 56%|█████▌ | 39027/70000 [13:48:32<11:27:51, 1.33s/step] Training: 56%|█████▌ | 39028/70000 [13:48:33<11:06:04, 1.29s/step] Training: 56%|█████▌ | 39029/70000 [13:48:34<11:14:33, 1.31s/step] Training: 56%|█████▌ | 39030/70000 [13:48:35<11:02:10, 1.28s/step] Training: 56%|█████▌ | 39031/70000 [13:48:37<10:49:23, 1.26s/step] Training: 56%|█████▌ | 39032/70000 [13:48:38<11:12:25, 1.30s/step] Training: 56%|█████▌ | 39033/70000 [13:48:39<10:56:40, 1.27s/step] Training: 56%|█████▌ | 39034/70000 [13:48:40<10:44:04, 1.25s/step] Training: 56%|█████▌ | 39035/70000 [13:48:42<10:40:24, 1.24s/step] Training: 56%|█████▌ | 39036/70000 [13:48:43<10:34:29, 1.23s/step] Training: 56%|█████▌ | 39037/70000 [13:48:44<10:49:22, 1.26s/step] Training: 56%|█████▌ | 39038/70000 [13:48:45<10:45:34, 1.25s/step] Training: 56%|█████▌ | 39039/70000 [13:48:47<10:36:34, 1.23s/step] Training: 56%|█████▌ | 39040/70000 [13:48:48<10:57:05, 1.27s/step] Training: 56%|█████▌ | 39041/70000 [13:48:49<11:05:41, 1.29s/step] Training: 56%|█████▌ | 39042/70000 [13:48:50<10:55:36, 1.27s/step] Training: 56%|█████▌ | 39043/70000 [13:48:52<10:45:03, 1.25s/step] Training: 56%|█████▌ | 39044/70000 [13:48:53<10:36:26, 1.23s/step] Training: 56%|█████▌ | 39045/70000 [13:48:54<10:50:29, 1.26s/step] Training: 56%|█████▌ | 39046/70000 [13:48:56<11:02:37, 1.28s/step] Training: 56%|█████▌ | 39047/70000 [13:48:57<10:47:53, 1.26s/step] Training: 56%|█████▌ | 39048/70000 [13:48:58<11:03:41, 1.29s/step] Training: 56%|█████▌ | 39049/70000 [13:48:59<11:09:37, 1.30s/step] Training: 56%|█████▌ | 39050/70000 [13:49:01<10:57:49, 1.28s/step] Training: 56%|█████▌ | 39051/70000 [13:49:02<11:08:21, 1.30s/step] Training: 56%|█████▌ | 39052/70000 [13:49:03<10:53:17, 1.27s/step] Training: 56%|█████▌ | 39053/70000 [13:49:04<11:03:15, 1.29s/step] Training: 56%|█████▌ | 39054/70000 [13:49:06<10:50:16, 1.26s/step] Training: 56%|█████▌ | 39055/70000 [13:49:07<11:01:10, 1.28s/step] Training: 56%|█████▌ | 39056/70000 [13:49:08<10:47:52, 1.26s/step] Training: 56%|█████▌ | 39057/70000 [13:49:10<11:17:25, 1.31s/step] Training: 56%|█████▌ | 39058/70000 [13:49:11<11:20:52, 1.32s/step] Training: 56%|█████▌ | 39059/70000 [13:49:12<11:23:00, 1.32s/step] Training: 56%|█████▌ | 39060/70000 [13:49:14<11:03:03, 1.29s/step] Training: 56%|█████▌ | 39061/70000 [13:49:15<11:11:30, 1.30s/step] Training: 56%|█████▌ | 39062/70000 [13:49:16<10:55:32, 1.27s/step] Training: 56%|█████▌ | 39063/70000 [13:49:17<11:01:29, 1.28s/step] Training: 56%|█████▌ | 39064/70000 [13:49:19<10:47:21, 1.26s/step] Training: 56%|█████▌ | 39065/70000 [13:49:20<10:53:22, 1.27s/step] Training: 56%|█████▌ | 39066/70000 [13:49:21<11:05:14, 1.29s/step] Training: 56%|█████▌ | 39067/70000 [13:49:22<10:56:20, 1.27s/step] Training: 56%|█████▌ | 39068/70000 [13:49:24<10:42:34, 1.25s/step] Training: 56%|█████▌ | 39069/70000 [13:49:25<10:57:37, 1.28s/step] Training: 56%|█████▌ | 39070/70000 [13:49:26<10:45:20, 1.25s/step] Training: 56%|█████▌ | 39071/70000 [13:49:27<10:36:56, 1.24s/step] Training: 56%|█████▌ | 39072/70000 [13:49:29<10:38:36, 1.24s/step] Training: 56%|█████▌ | 39073/70000 [13:49:30<10:56:08, 1.27s/step] Training: 56%|█████▌ | 39074/70000 [13:49:31<11:06:24, 1.29s/step] Training: 56%|█████▌ | 39075/70000 [13:49:32<10:52:05, 1.27s/step] Training: 56%|█████▌ | 39076/70000 [13:49:34<10:42:04, 1.25s/step] Training: 56%|█████▌ | 39077/70000 [13:49:35<10:56:19, 1.27s/step] Training: 56%|█████▌ | 39078/70000 [13:49:36<10:44:22, 1.25s/step] Training: 56%|█████▌ | 39079/70000 [13:49:37<10:35:27, 1.23s/step] Training: 56%|█████▌ | 39080/70000 [13:49:39<10:31:37, 1.23s/step] Training: 56%|█████▌ | 39081/70000 [13:49:40<10:52:18, 1.27s/step] Training: 56%|█████▌ | 39082/70000 [13:49:41<10:43:44, 1.25s/step] Training: 56%|█████▌ | 39083/70000 [13:49:43<10:58:11, 1.28s/step] Training: 56%|█████▌ | 39084/70000 [13:49:44<10:45:11, 1.25s/step] Training: 56%|█████▌ | 39085/70000 [13:49:45<10:59:33, 1.28s/step] Training: 56%|█████▌ | 39086/70000 [13:49:46<10:45:25, 1.25s/step] Training: 56%|█████▌ | 39087/70000 [13:49:48<11:00:02, 1.28s/step] Training: 56%|█████▌ | 39088/70000 [13:49:49<11:08:21, 1.30s/step] Training: 56%|█████▌ | 39089/70000 [13:49:50<11:16:07, 1.31s/step] Training: 56%|█████▌ | 39090/70000 [13:49:52<11:36:08, 1.35s/step] Training: 56%|█████▌ | 39091/70000 [13:49:53<11:36:24, 1.35s/step] Training: 56%|█████▌ | 39092/70000 [13:49:54<11:12:52, 1.31s/step] Training: 56%|█████▌ | 39093/70000 [13:49:56<11:20:09, 1.32s/step] Training: 56%|█████▌ | 39094/70000 [13:49:57<11:00:04, 1.28s/step] Training: 56%|█████▌ | 39095/70000 [13:49:58<10:55:04, 1.27s/step] Training: 56%|█████▌ | 39096/70000 [13:49:59<11:03:31, 1.29s/step] Training: 56%|█████▌ | 39097/70000 [13:50:01<10:53:57, 1.27s/step] Training: 56%|█████▌ | 39098/70000 [13:50:02<11:15:49, 1.31s/step] Training: 56%|█████▌ | 39099/70000 [13:50:03<11:02:27, 1.29s/step] Training: 56%|█████▌ | 39100/70000 [13:50:04<10:49:22, 1.26s/step]INFO 2026-03-13 09:59:57 ot_train.py:435 step:39K smpl:3M ep:9K epch:33.14 loss:0.012 grdn:1.653 lr:1.1e-05 updt_s:1.255 data_s:0.019 Training: 56%|█████▌ | 39101/70000 [13:50:06<11:01:04, 1.28s/step] Training: 56%|█████▌ | 39102/70000 [13:50:07<10:46:49, 1.26s/step] Training: 56%|█████▌ | 39103/70000 [13:50:08<11:02:06, 1.29s/step] Training: 56%|█████▌ | 39104/70000 [13:50:10<11:02:09, 1.29s/step] Training: 56%|█████▌ | 39105/70000 [13:50:11<11:25:15, 1.33s/step] Training: 56%|█████▌ | 39106/70000 [13:50:12<11:28:34, 1.34s/step] Training: 56%|█████▌ | 39107/70000 [13:50:14<11:26:40, 1.33s/step] Training: 56%|█████▌ | 39108/70000 [13:50:15<11:26:45, 1.33s/step] Training: 56%|█████▌ | 39109/70000 [13:50:16<11:25:25, 1.33s/step] Training: 56%|█████▌ | 39110/70000 [13:50:18<11:47:48, 1.37s/step] Training: 56%|█████▌ | 39111/70000 [13:50:19<11:54:04, 1.39s/step] Training: 56%|█████▌ | 39112/70000 [13:50:21<11:43:44, 1.37s/step] Training: 56%|█████▌ | 39113/70000 [13:50:22<11:56:17, 1.39s/step] Training: 56%|█████▌ | 39114/70000 [13:50:23<11:47:16, 1.37s/step] Training: 56%|█████▌ | 39115/70000 [13:50:25<11:53:18, 1.39s/step] Training: 56%|█████▌ | 39116/70000 [13:50:26<11:43:43, 1.37s/step] Training: 56%|█████▌ | 39117/70000 [13:50:27<11:38:26, 1.36s/step] Training: 56%|█████▌ | 39118/70000 [13:50:29<11:57:33, 1.39s/step] Training: 56%|█████▌ | 39119/70000 [13:50:30<12:01:15, 1.40s/step] Training: 56%|█████▌ | 39120/70000 [13:50:32<12:01:46, 1.40s/step] Training: 56%|█████▌ | 39121/70000 [13:50:33<12:06:42, 1.41s/step] Training: 56%|█████▌ | 39122/70000 [13:50:35<12:06:25, 1.41s/step] Training: 56%|█████▌ | 39123/70000 [13:50:36<12:04:52, 1.41s/step] Training: 56%|█████▌ | 39124/70000 [13:50:37<11:51:24, 1.38s/step] Training: 56%|█████▌ | 39125/70000 [13:50:39<12:01:57, 1.40s/step] Training: 56%|█████▌ | 39126/70000 [13:50:40<11:51:36, 1.38s/step] Training: 56%|█████▌ | 39127/70000 [13:50:41<11:44:26, 1.37s/step] Training: 56%|█████▌ | 39128/70000 [13:50:43<11:48:56, 1.38s/step] Training: 56%|█████▌ | 39129/70000 [13:50:44<11:23:42, 1.33s/step] Training: 56%|█████▌ | 39130/70000 [13:50:45<11:23:24, 1.33s/step] Training: 56%|█████▌ | 39131/70000 [13:50:47<11:25:15, 1.33s/step] Training: 56%|█████▌ | 39132/70000 [13:50:48<11:02:07, 1.29s/step] Training: 56%|█████▌ | 39133/70000 [13:50:49<11:11:30, 1.31s/step] Training: 56%|█████▌ | 39134/70000 [13:50:50<10:53:39, 1.27s/step] Training: 56%|█████▌ | 39135/70000 [13:50:52<11:03:26, 1.29s/step] Training: 56%|█████▌ | 39136/70000 [13:50:53<10:54:27, 1.27s/step] Training: 56%|█████▌ | 39137/70000 [13:50:54<11:05:06, 1.29s/step] Training: 56%|█████▌ | 39138/70000 [13:50:56<10:54:24, 1.27s/step] Training: 56%|█████▌ | 39139/70000 [13:50:57<10:57:22, 1.28s/step] Training: 56%|█████▌ | 39140/70000 [13:50:58<10:42:52, 1.25s/step] Training: 56%|█████▌ | 39141/70000 [13:50:59<11:02:19, 1.29s/step] Training: 56%|█████▌ | 39142/70000 [13:51:01<10:47:03, 1.26s/step] Training: 56%|█████▌ | 39143/70000 [13:51:02<10:59:56, 1.28s/step] Training: 56%|█████▌ | 39144/70000 [13:51:03<10:49:34, 1.26s/step] Training: 56%|█████▌ | 39145/70000 [13:51:05<10:59:29, 1.28s/step] Training: 56%|█████▌ | 39146/70000 [13:51:06<10:50:43, 1.27s/step] Training: 56%|█████▌ | 39147/70000 [13:51:07<11:04:43, 1.29s/step] Training: 56%|█████▌ | 39148/70000 [13:51:08<10:46:42, 1.26s/step] Training: 56%|█████▌ | 39149/70000 [13:51:10<10:57:56, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=48309 Training: 56%|█████▌ | 39150/70000 [13:51:11<10:44:30, 1.25s/step] Training: 56%|█████▌ | 39151/70000 [13:51:12<10:58:53, 1.28s/step] Training: 56%|█████▌ | 39152/70000 [13:51:13<11:05:51, 1.30s/step] Training: 56%|█████▌ | 39153/70000 [13:51:15<11:11:48, 1.31s/step] Training: 56%|█████▌ | 39154/70000 [13:51:16<11:14:36, 1.31s/step] Training: 56%|█████▌ | 39155/70000 [13:51:17<11:20:33, 1.32s/step] Training: 56%|█████▌ | 39156/70000 [13:51:19<10:58:27, 1.28s/step] Training: 56%|█████▌ | 39157/70000 [13:51:20<11:11:48, 1.31s/step] Training: 56%|█████▌ | 39158/70000 [13:51:21<10:53:31, 1.27s/step] Training: 56%|█████▌ | 39159/70000 [13:51:22<10:45:48, 1.26s/step] Training: 56%|█████▌ | 39160/70000 [13:51:24<10:56:03, 1.28s/step] Training: 56%|█████▌ | 39161/70000 [13:51:25<10:46:12, 1.26s/step] Training: 56%|█████▌ | 39162/70000 [13:51:26<10:56:56, 1.28s/step] Training: 56%|█████▌ | 39163/70000 [13:51:28<10:48:22, 1.26s/step] Training: 56%|█████▌ | 39164/70000 [13:51:29<11:17:53, 1.32s/step] Training: 56%|█████▌ | 39165/70000 [13:51:30<11:18:50, 1.32s/step] Training: 56%|█████▌ | 39166/70000 [13:51:32<10:58:45, 1.28s/step] Training: 56%|█████▌ | 39167/70000 [13:51:33<11:05:10, 1.29s/step] Training: 56%|█████▌ | 39168/70000 [13:51:34<10:53:32, 1.27s/step] Training: 56%|█████▌ | 39169/70000 [13:51:35<11:01:28, 1.29s/step] Training: 56%|█████▌ | 39170/70000 [13:51:37<10:51:27, 1.27s/step] Training: 56%|█████▌ | 39171/70000 [13:51:38<10:42:18, 1.25s/step] Training: 56%|█████▌ | 39172/70000 [13:51:39<10:55:51, 1.28s/step] Training: 56%|█████▌ | 39173/70000 [13:51:41<11:08:29, 1.30s/step] Training: 56%|█████▌ | 39174/70000 [13:51:42<10:50:50, 1.27s/step] Training: 56%|█████▌ | 39175/70000 [13:51:43<11:00:46, 1.29s/step] Training: 56%|█████▌ | 39176/70000 [13:51:44<10:50:37, 1.27s/step] Training: 56%|█████▌ | 39177/70000 [13:51:46<11:00:43, 1.29s/step] Training: 56%|█████▌ | 39178/70000 [13:51:47<10:49:01, 1.26s/step] Training: 56%|█████▌ | 39179/70000 [13:51:48<10:56:59, 1.28s/step] Training: 56%|█████▌ | 39180/70000 [13:51:49<11:05:47, 1.30s/step] Training: 56%|█████▌ | 39181/70000 [13:51:51<10:50:05, 1.27s/step] Training: 56%|█████▌ | 39182/70000 [13:51:52<10:58:34, 1.28s/step] Training: 56%|█████▌ | 39183/70000 [13:51:53<10:50:30, 1.27s/step] Training: 56%|█████▌ | 39184/70000 [13:51:55<10:59:26, 1.28s/step] Training: 56%|█████▌ | 39185/70000 [13:51:56<11:06:31, 1.30s/step] Training: 56%|█████▌ | 39186/70000 [13:51:57<11:11:02, 1.31s/step] Training: 56%|█████▌ | 39187/70000 [13:51:58<11:14:13, 1.31s/step] Training: 56%|█████▌ | 39188/70000 [13:52:00<11:19:31, 1.32s/step] Training: 56%|█████▌ | 39189/70000 [13:52:01<11:19:45, 1.32s/step] Training: 56%|█████▌ | 39190/70000 [13:52:02<11:18:29, 1.32s/step] Training: 56%|█████▌ | 39191/70000 [13:52:04<11:03:45, 1.29s/step] Training: 56%|█████▌ | 39192/70000 [13:52:05<11:09:21, 1.30s/step] Training: 56%|█████▌ | 39193/70000 [13:52:06<10:53:11, 1.27s/step] Training: 56%|█████▌ | 39194/70000 [13:52:08<11:01:21, 1.29s/step] Training: 56%|█████▌ | 39195/70000 [13:52:09<10:52:49, 1.27s/step] Training: 56%|█████▌ | 39196/70000 [13:52:10<10:47:24, 1.26s/step] Training: 56%|█████▌ | 39197/70000 [13:52:11<10:35:25, 1.24s/step] Training: 56%|█████▌ | 39198/70000 [13:52:13<10:49:15, 1.26s/step] Training: 56%|█████▌ | 39199/70000 [13:52:14<10:58:50, 1.28s/step] Training: 56%|█████▌ | 39200/70000 [13:52:15<10:49:15, 1.26s/step]INFO 2026-03-13 10:02:07 ot_train.py:435 step:39K smpl:3M ep:9K epch:33.23 loss:0.013 grdn:1.606 lr:1.1e-05 updt_s:1.285 data_s:0.019 Training: 56%|█████▌ | 39201/70000 [13:52:16<10:59:24, 1.28s/step] Training: 56%|█████▌ | 39202/70000 [13:52:18<10:49:39, 1.27s/step] Training: 56%|█████▌ | 39203/70000 [13:52:19<10:41:20, 1.25s/step] Training: 56%|█████▌ | 39204/70000 [13:52:20<10:31:57, 1.23s/step] Training: 56%|█████▌ | 39205/70000 [13:52:21<10:49:58, 1.27s/step] Training: 56%|█████▌ | 39206/70000 [13:52:23<10:55:34, 1.28s/step] Training: 56%|█████▌ | 39207/70000 [13:52:24<11:04:16, 1.29s/step] Training: 56%|█████▌ | 39208/70000 [13:52:25<10:49:45, 1.27s/step] Training: 56%|█████▌ | 39209/70000 [13:52:27<11:00:00, 1.29s/step] Training: 56%|█████▌ | 39210/70000 [13:52:28<10:48:38, 1.26s/step] Training: 56%|█████▌ | 39211/70000 [13:52:29<10:57:00, 1.28s/step] Training: 56%|█████▌ | 39212/70000 [13:52:30<10:43:15, 1.25s/step] Training: 56%|█████▌ | 39213/70000 [13:52:32<10:52:31, 1.27s/step] Training: 56%|█████▌ | 39214/70000 [13:52:33<10:58:06, 1.28s/step] Training: 56%|█████▌ | 39215/70000 [13:52:34<10:50:29, 1.27s/step] Training: 56%|█████▌ | 39216/70000 [13:52:35<10:59:10, 1.28s/step] Training: 56%|█████▌ | 39217/70000 [13:52:37<11:05:32, 1.30s/step] Training: 56%|█████▌ | 39218/70000 [13:52:38<11:09:38, 1.31s/step] Training: 56%|█████▌ | 39219/70000 [13:52:39<11:13:47, 1.31s/step] Training: 56%|█████▌ | 39220/70000 [13:52:41<10:55:03, 1.28s/step] Training: 56%|█████▌ | 39221/70000 [13:52:42<11:08:25, 1.30s/step] Training: 56%|█████▌ | 39222/70000 [13:52:43<11:07:49, 1.30s/step] Training: 56%|█████▌ | 39223/70000 [13:52:45<10:54:51, 1.28s/step] Training: 56%|█████▌ | 39224/70000 [13:52:46<11:02:56, 1.29s/step] Training: 56%|█████▌ | 39225/70000 [13:52:47<10:50:16, 1.27s/step] Training: 56%|█████▌ | 39226/70000 [13:52:48<10:59:50, 1.29s/step] Training: 56%|█████▌ | 39227/70000 [13:52:50<10:51:06, 1.27s/step] Training: 56%|█████▌ | 39228/70000 [13:52:51<10:38:46, 1.25s/step] Training: 56%|█████▌ | 39229/70000 [13:52:52<10:29:46, 1.23s/step] Training: 56%|█████▌ | 39230/70000 [13:52:53<11:02:25, 1.29s/step] Training: 56%|█████▌ | 39231/70000 [13:52:55<11:11:07, 1.31s/step] Training: 56%|█████▌ | 39232/70000 [13:52:56<10:59:25, 1.29s/step] Training: 56%|█████▌ | 39233/70000 [13:52:57<11:07:44, 1.30s/step] Training: 56%|█████▌ | 39234/70000 [13:52:59<10:56:14, 1.28s/step] Training: 56%|█████▌ | 39235/70000 [13:53:00<10:46:34, 1.26s/step] Training: 56%|█████▌ | 39236/70000 [13:53:01<10:35:56, 1.24s/step] Training: 56%|█████▌ | 39237/70000 [13:53:02<10:28:01, 1.22s/step] Training: 56%|█████▌ | 39238/70000 [13:53:04<11:01:06, 1.29s/step] Training: 56%|█████▌ | 39239/70000 [13:53:05<11:08:07, 1.30s/step] Training: 56%|█████▌ | 39240/70000 [13:53:06<10:52:21, 1.27s/step] Training: 56%|█████▌ | 39241/70000 [13:53:07<11:01:44, 1.29s/step] Training: 56%|█████▌ | 39242/70000 [13:53:09<10:50:12, 1.27s/step] Training: 56%|█████▌ | 39243/70000 [13:53:10<10:58:39, 1.28s/step] Training: 56%|█████▌ | 39244/70000 [13:53:11<10:43:40, 1.26s/step] Training: 56%|█████▌ | 39245/70000 [13:53:12<10:33:56, 1.24s/step] Training: 56%|█████▌ | 39246/70000 [13:53:14<10:54:23, 1.28s/step] Training: 56%|█████▌ | 39247/70000 [13:53:15<10:43:01, 1.25s/step] Training: 56%|█████▌ | 39248/70000 [13:53:16<10:54:54, 1.28s/step] Training: 56%|█████▌ | 39249/70000 [13:53:18<11:03:21, 1.29s/step] Training: 56%|█████▌ | 39250/70000 [13:53:19<11:09:09, 1.31s/step] Training: 56%|█████▌ | 39251/70000 [13:53:20<11:12:03, 1.31s/step] Training: 56%|█████▌ | 39252/70000 [13:53:21<10:53:50, 1.28s/step] Training: 56%|█████▌ | 39253/70000 [13:53:23<10:40:54, 1.25s/step] Training: 56%|█████▌ | 39254/70000 [13:53:24<10:57:26, 1.28s/step] Training: 56%|█████▌ | 39255/70000 [13:53:25<10:49:26, 1.27s/step] Training: 56%|█████▌ | 39256/70000 [13:53:27<10:57:41, 1.28s/step] Training: 56%|█████▌ | 39257/70000 [13:53:28<10:45:16, 1.26s/step] Training: 56%|█████▌ | 39258/70000 [13:53:29<10:57:57, 1.28s/step] Training: 56%|█████▌ | 39259/70000 [13:53:30<10:49:39, 1.27s/step] Training: 56%|█████▌ | 39260/70000 [13:53:32<10:37:51, 1.25s/step] Training: 56%|█████▌ | 39261/70000 [13:53:33<10:31:06, 1.23s/step] Training: 56%|█████▌ | 39262/70000 [13:53:34<10:44:08, 1.26s/step] Training: 56%|█████▌ | 39263/70000 [13:53:35<10:35:14, 1.24s/step] Training: 56%|█████▌ | 39264/70000 [13:53:37<10:45:30, 1.26s/step] Training: 56%|█████▌ | 39265/70000 [13:53:38<10:56:08, 1.28s/step] Training: 56%|█████▌ | 39266/70000 [13:53:39<10:48:56, 1.27s/step] Training: 56%|█████▌ | 39267/70000 [13:53:40<10:40:19, 1.25s/step] Training: 56%|█████▌ | 39268/70000 [13:53:42<10:31:18, 1.23s/step] Training: 56%|█████▌ | 39269/70000 [13:53:43<10:24:25, 1.22s/step] Training: 56%|█████▌ | 39270/70000 [13:53:44<10:41:20, 1.25s/step] Training: 56%|█████▌ | 39271/70000 [13:53:45<10:54:37, 1.28s/step] Training: 56%|█████▌ | 39272/70000 [13:53:47<10:42:06, 1.25s/step] Training: 56%|█████▌ | 39273/70000 [13:53:48<10:54:08, 1.28s/step] Training: 56%|█████▌ | 39274/70000 [13:53:49<10:44:27, 1.26s/step] Training: 56%|█████▌ | 39275/70000 [13:53:50<10:33:28, 1.24s/step] Training: 56%|█████▌ | 39276/70000 [13:53:52<10:47:13, 1.26s/step] Training: 56%|█████▌ | 39277/70000 [13:53:53<10:35:40, 1.24s/step] Training: 56%|█████▌ | 39278/70000 [13:53:54<10:51:35, 1.27s/step] Training: 56%|█████▌ | 39279/70000 [13:53:55<10:50:03, 1.27s/step] Training: 56%|█████▌ | 39280/70000 [13:53:57<10:59:02, 1.29s/step] Training: 56%|█████▌ | 39281/70000 [13:53:58<11:07:29, 1.30s/step] Training: 56%|█████▌ | 39282/70000 [13:53:59<11:10:45, 1.31s/step] Training: 56%|█████▌ | 39283/70000 [13:54:01<10:52:37, 1.27s/step] Training: 56%|█████▌ | 39284/70000 [13:54:02<10:50:47, 1.27s/step] Training: 56%|█████▌ | 39285/70000 [13:54:03<10:38:09, 1.25s/step] Training: 56%|█████▌ | 39286/70000 [13:54:04<10:51:18, 1.27s/step] Training: 56%|█████▌ | 39287/70000 [13:54:06<10:45:36, 1.26s/step] Training: 56%|█████▌ | 39288/70000 [13:54:07<11:12:20, 1.31s/step] Training: 56%|█████▌ | 39289/70000 [13:54:08<10:56:49, 1.28s/step] Training: 56%|█████▌ | 39290/70000 [13:54:10<11:04:27, 1.30s/step] Training: 56%|█████▌ | 39291/70000 [13:54:11<10:47:34, 1.27s/step] Training: 56%|█████▌ | 39292/70000 [13:54:12<10:38:18, 1.25s/step] Training: 56%|█████▌ | 39293/70000 [13:54:13<10:29:07, 1.23s/step] Training: 56%|█████▌ | 39294/70000 [13:54:15<10:46:33, 1.26s/step] Training: 56%|█████▌ | 39295/70000 [13:54:16<11:00:58, 1.29s/step] Training: 56%|█████▌ | 39296/70000 [13:54:17<10:47:13, 1.26s/step] Training: 56%|█████▌ | 39297/70000 [13:54:18<10:57:11, 1.28s/step] Training: 56%|█████▌ | 39298/70000 [13:54:20<10:48:59, 1.27s/step] Training: 56%|█████▌ | 39299/70000 [13:54:21<10:37:02, 1.24s/step] Training: 56%|█████▌ | 39300/70000 [13:54:22<10:48:05, 1.27s/step]INFO 2026-03-13 10:04:14 ot_train.py:435 step:39K smpl:3M ep:9K epch:33.31 loss:0.012 grdn:1.475 lr:1.1e-05 updt_s:1.250 data_s:0.019 Training: 56%|█████▌ | 39301/70000 [13:54:23<10:36:48, 1.24s/step] Training: 56%|█████▌ | 39302/70000 [13:54:25<10:30:11, 1.23s/step] Training: 56%|█████▌ | 39303/70000 [13:54:26<10:47:12, 1.27s/step] Training: 56%|█████▌ | 39304/70000 [13:54:27<10:58:41, 1.29s/step] Training: 56%|█████▌ | 39305/70000 [13:54:29<11:05:01, 1.30s/step] Training: 56%|█████▌ | 39306/70000 [13:54:30<10:50:53, 1.27s/step] Training: 56%|█████▌ | 39307/70000 [13:54:31<10:37:49, 1.25s/step] Training: 56%|█████▌ | 39308/70000 [13:54:32<10:50:07, 1.27s/step] Training: 56%|█████▌ | 39309/70000 [13:54:34<10:37:18, 1.25s/step] Training: 56%|█████▌ | 39310/70000 [13:54:35<10:55:06, 1.28s/step] Training: 56%|█████▌ | 39311/70000 [13:54:36<10:43:27, 1.26s/step] Training: 56%|█████▌ | 39312/70000 [13:54:37<10:58:50, 1.29s/step] Training: 56%|█████▌ | 39313/70000 [13:54:39<11:11:35, 1.31s/step] Training: 56%|█████▌ | 39314/70000 [13:54:40<11:14:22, 1.32s/step] Training: 56%|█████▌ | 39315/70000 [13:54:41<10:54:41, 1.28s/step] Training: 56%|█████▌ | 39316/70000 [13:54:43<11:00:32, 1.29s/step] Training: 56%|█████▌ | 39317/70000 [13:54:44<10:49:28, 1.27s/step] Training: 56%|█████▌ | 39318/70000 [13:54:45<10:56:56, 1.28s/step] Training: 56%|█████▌ | 39319/70000 [13:54:46<10:49:09, 1.27s/step] Training: 56%|█████▌ | 39320/70000 [13:54:48<11:17:34, 1.33s/step] Training: 56%|█████▌ | 39321/70000 [13:54:49<10:59:58, 1.29s/step] Training: 56%|█████▌ | 39322/70000 [13:54:50<11:06:07, 1.30s/step] Training: 56%|█████▌ | 39323/70000 [13:54:52<10:48:41, 1.27s/step] Training: 56%|█████▌ | 39324/70000 [13:54:53<10:39:38, 1.25s/step] Training: 56%|█████▌ | 39325/70000 [13:54:54<10:30:14, 1.23s/step] Training: 56%|█████▌ | 39326/70000 [13:54:55<10:44:41, 1.26s/step] Training: 56%|█████▌ | 39327/70000 [13:54:57<10:33:31, 1.24s/step] Training: 56%|█████▌ | 39328/70000 [13:54:58<11:07:32, 1.31s/step] Training: 56%|█████▌ | 39329/70000 [13:54:59<11:09:03, 1.31s/step] Training: 56%|█████▌ | 39330/70000 [13:55:01<10:56:53, 1.29s/step] Training: 56%|█████▌ | 39331/70000 [13:55:02<10:41:56, 1.26s/step] Training: 56%|█████▌ | 39332/70000 [13:55:03<10:53:22, 1.28s/step] Training: 56%|█████▌ | 39333/70000 [13:55:04<10:39:35, 1.25s/step] Training: 56%|█████▌ | 39334/70000 [13:55:05<10:34:31, 1.24s/step] Training: 56%|█████▌ | 39335/70000 [13:55:07<10:45:49, 1.26s/step] Training: 56%|█████▌ | 39336/70000 [13:55:08<10:41:35, 1.26s/step] Training: 56%|█████▌ | 39337/70000 [13:55:09<10:52:14, 1.28s/step] Training: 56%|█████▌ | 39338/70000 [13:55:11<10:41:08, 1.25s/step] Training: 56%|█████▌ | 39339/70000 [13:55:12<10:31:42, 1.24s/step] Training: 56%|█████▌ | 39340/70000 [13:55:13<10:45:46, 1.26s/step] Training: 56%|█████▌ | 39341/70000 [13:55:14<10:34:44, 1.24s/step] Training: 56%|█████▌ | 39342/70000 [13:55:16<10:48:33, 1.27s/step] Training: 56%|█████▌ | 39343/70000 [13:55:17<10:51:41, 1.28s/step] Training: 56%|█████▌ | 39344/70000 [13:55:18<10:38:43, 1.25s/step] Training: 56%|█████▌ | 39345/70000 [13:55:19<10:52:37, 1.28s/step] Training: 56%|█████▌ | 39346/70000 [13:55:21<11:00:11, 1.29s/step] Training: 56%|█████▌ | 39347/70000 [13:55:22<10:44:19, 1.26s/step] Training: 56%|█████▌ | 39348/70000 [13:55:23<10:54:01, 1.28s/step] Training: 56%|█████▌ | 39349/70000 [13:55:24<10:39:59, 1.25s/step] Training: 56%|█████▌ | 39350/70000 [13:55:26<10:52:10, 1.28s/step] Training: 56%|█████▌ | 39351/70000 [13:55:27<10:45:10, 1.26s/step] Training: 56%|█████▌ | 39352/70000 [13:55:28<10:33:44, 1.24s/step] Training: 56%|█████▌ | 39353/70000 [13:55:30<10:43:48, 1.26s/step] Training: 56%|█████▌ | 39354/70000 [13:55:31<10:52:36, 1.28s/step] Training: 56%|█████▌ | 39355/70000 [13:55:32<10:39:18, 1.25s/step] Training: 56%|█████▌ | 39356/70000 [13:55:33<10:33:24, 1.24s/step] Training: 56%|█████▌ | 39357/70000 [13:55:34<10:25:37, 1.22s/step] Training: 56%|█████▌ | 39358/70000 [13:55:36<10:25:36, 1.23s/step] Training: 56%|█████▌ | 39359/70000 [13:55:37<10:20:35, 1.22s/step] Training: 56%|█████▌ | 39360/70000 [13:55:38<10:36:08, 1.25s/step] Training: 56%|█████▌ | 39361/70000 [13:55:39<10:48:55, 1.27s/step] Training: 56%|█████▌ | 39362/70000 [13:55:41<10:38:05, 1.25s/step] Training: 56%|█████▌ | 39363/70000 [13:55:42<10:28:31, 1.23s/step] Training: 56%|█████▌ | 39364/70000 [13:55:43<10:43:49, 1.26s/step] Training: 56%|█████▌ | 39365/70000 [13:55:44<10:33:21, 1.24s/step] Training: 56%|█████▌ | 39366/70000 [13:55:46<10:24:40, 1.22s/step] Training: 56%|█████▌ | 39367/70000 [13:55:47<10:40:11, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=1608 Training: 56%|█████▌ | 39368/70000 [13:55:48<10:32:58, 1.24s/step] Training: 56%|█████▌ | 39369/70000 [13:55:49<10:47:45, 1.27s/step] Training: 56%|█████▌ | 39370/70000 [13:55:51<10:42:22, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=58182 Training: 56%|█████▌ | 39371/70000 [13:55:52<10:31:35, 1.24s/step] Training: 56%|█████▌ | 39372/70000 [13:55:53<10:43:35, 1.26s/step] Training: 56%|█████▌ | 39373/70000 [13:55:54<10:32:50, 1.24s/step] Training: 56%|█████▌ | 39374/70000 [13:55:56<10:26:03, 1.23s/step] Training: 56%|█████▋ | 39375/70000 [13:55:57<10:28:48, 1.23s/step] Training: 56%|█████▋ | 39376/70000 [13:55:58<10:43:20, 1.26s/step] Training: 56%|█████▋ | 39377/70000 [13:55:59<10:41:57, 1.26s/step] Training: 56%|█████▋ | 39378/70000 [13:56:01<10:31:27, 1.24s/step] Training: 56%|█████▋ | 39379/70000 [13:56:02<10:43:28, 1.26s/step] Training: 56%|█████▋ | 39380/70000 [13:56:03<10:54:17, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=12810 Training: 56%|█████▋ | 39381/70000 [13:56:04<10:39:55, 1.25s/step] Training: 56%|█████▋ | 39382/70000 [13:56:06<10:34:21, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58182 Training: 56%|█████▋ | 39383/70000 [13:56:07<10:46:37, 1.27s/step] Training: 56%|█████▋ | 39384/70000 [13:56:08<10:56:16, 1.29s/step] Training: 56%|█████▋ | 39385/70000 [13:56:10<10:48:06, 1.27s/step] Training: 56%|█████▋ | 39386/70000 [13:56:11<10:34:56, 1.24s/step] Training: 56%|█████▋ | 39387/70000 [13:56:12<10:25:50, 1.23s/step] Training: 56%|█████▋ | 39388/70000 [13:56:13<10:22:38, 1.22s/step] Training: 56%|█████▋ | 39389/70000 [13:56:14<10:18:11, 1.21s/step] Training: 56%|█████▋ | 39390/70000 [13:56:16<10:21:12, 1.22s/step] Training: 56%|█████▋ | 39391/70000 [13:56:17<10:40:22, 1.26s/step] Training: 56%|█████▋ | 39392/70000 [13:56:18<10:35:29, 1.25s/step] Training: 56%|█████▋ | 39393/70000 [13:56:19<10:47:43, 1.27s/step] Training: 56%|█████▋ | 39394/70000 [13:56:21<10:58:36, 1.29s/step] Training: 56%|█████▋ | 39395/70000 [13:56:22<10:41:47, 1.26s/step] Training: 56%|█████▋ | 39396/70000 [13:56:23<10:51:50, 1.28s/step] Training: 56%|█████▋ | 39397/70000 [13:56:24<10:38:09, 1.25s/step] Training: 56%|█████▋ | 39398/70000 [13:56:26<10:28:40, 1.23s/step] Training: 56%|█████▋ | 39399/70000 [13:56:27<11:03:18, 1.30s/step] Training: 56%|█████▋ | 39400/70000 [13:56:28<10:47:51, 1.27s/step]INFO 2026-03-13 10:06:20 ot_train.py:435 step:39K smpl:3M ep:9K epch:33.40 loss:0.013 grdn:1.430 lr:1.1e-05 updt_s:1.240 data_s:0.019 Training: 56%|█████▋ | 39401/70000 [13:56:30<10:57:04, 1.29s/step] Training: 56%|█████▋ | 39402/70000 [13:56:31<10:56:03, 1.29s/step] Training: 56%|█████▋ | 39403/70000 [13:56:32<10:41:22, 1.26s/step] Training: 56%|█████▋ | 39404/70000 [13:56:33<10:51:38, 1.28s/step] Training: 56%|█████▋ | 39405/70000 [13:56:35<10:37:33, 1.25s/step] Training: 56%|█████▋ | 39406/70000 [13:56:36<10:50:12, 1.28s/step] Training: 56%|█████▋ | 39407/70000 [13:56:37<10:46:29, 1.27s/step] Training: 56%|█████▋ | 39408/70000 [13:56:39<10:56:23, 1.29s/step] Training: 56%|█████▋ | 39409/70000 [13:56:40<10:47:42, 1.27s/step] Training: 56%|█████▋ | 39410/70000 [13:56:41<10:56:50, 1.29s/step] Training: 56%|█████▋ | 39411/70000 [13:56:42<10:41:29, 1.26s/step] Training: 56%|█████▋ | 39412/70000 [13:56:44<10:51:15, 1.28s/step] Training: 56%|█████▋ | 39413/70000 [13:56:45<10:37:26, 1.25s/step] Training: 56%|█████▋ | 39414/70000 [13:56:46<10:30:51, 1.24s/step] Training: 56%|█████▋ | 39415/70000 [13:56:47<10:44:18, 1.26s/step] Training: 56%|█████▋ | 39416/70000 [13:56:49<10:54:54, 1.28s/step] Training: 56%|█████▋ | 39417/70000 [13:56:50<10:42:48, 1.26s/step] Training: 56%|█████▋ | 39418/70000 [13:56:51<10:53:51, 1.28s/step] Training: 56%|█████▋ | 39419/70000 [13:56:53<11:03:18, 1.30s/step] Training: 56%|█████▋ | 39420/70000 [13:56:54<10:46:44, 1.27s/step] Training: 56%|█████▋ | 39421/70000 [13:56:55<10:35:27, 1.25s/step] Training: 56%|█████▋ | 39422/70000 [13:56:56<10:32:48, 1.24s/step] Training: 56%|█████▋ | 39423/70000 [13:56:57<10:46:33, 1.27s/step] Training: 56%|█████▋ | 39424/70000 [13:56:59<10:55:12, 1.29s/step] Training: 56%|█████▋ | 39425/70000 [13:57:00<11:00:49, 1.30s/step] Training: 56%|█████▋ | 39426/70000 [13:57:01<10:49:00, 1.27s/step] Training: 56%|█████▋ | 39427/70000 [13:57:03<10:54:37, 1.28s/step] Training: 56%|█████▋ | 39428/70000 [13:57:04<11:00:11, 1.30s/step] Training: 56%|█████▋ | 39429/70000 [13:57:05<10:43:35, 1.26s/step] Training: 56%|█████▋ | 39430/70000 [13:57:06<10:32:51, 1.24s/step] Training: 56%|█████▋ | 39431/70000 [13:57:08<11:06:47, 1.31s/step] Training: 56%|█████▋ | 39432/70000 [13:57:09<10:51:08, 1.28s/step] Training: 56%|█████▋ | 39433/70000 [13:57:10<10:58:52, 1.29s/step] Training: 56%|█████▋ | 39434/70000 [13:57:12<10:44:45, 1.27s/step] Training: 56%|█████▋ | 39435/70000 [13:57:13<10:59:50, 1.30s/step] Training: 56%|█████▋ | 39436/70000 [13:57:14<11:02:53, 1.30s/step] Training: 56%|█████▋ | 39437/70000 [13:57:15<10:45:31, 1.27s/step] Training: 56%|█████▋ | 39438/70000 [13:57:17<10:54:09, 1.28s/step] Training: 56%|█████▋ | 39439/70000 [13:57:18<10:49:50, 1.28s/step] Training: 56%|█████▋ | 39440/70000 [13:57:19<10:57:42, 1.29s/step] Training: 56%|█████▋ | 39441/70000 [13:57:21<10:50:01, 1.28s/step] Training: 56%|█████▋ | 39442/70000 [13:57:22<10:56:16, 1.29s/step] Training: 56%|█████▋ | 39443/70000 [13:57:23<10:42:09, 1.26s/step] Training: 56%|█████▋ | 39444/70000 [13:57:25<11:08:45, 1.31s/step] Training: 56%|█████▋ | 39445/70000 [13:57:26<10:49:35, 1.28s/step] Training: 56%|█████▋ | 39446/70000 [13:57:27<10:43:54, 1.26s/step] Training: 56%|█████▋ | 39447/70000 [13:57:28<10:52:57, 1.28s/step] Training: 56%|█████▋ | 39448/70000 [13:57:30<11:00:08, 1.30s/step] Training: 56%|█████▋ | 39449/70000 [13:57:31<10:46:17, 1.27s/step] Training: 56%|█████▋ | 39450/70000 [13:57:32<10:55:39, 1.29s/step] Training: 56%|█████▋ | 39451/70000 [13:57:33<10:41:05, 1.26s/step] Training: 56%|█████▋ | 39452/70000 [13:57:35<10:58:23, 1.29s/step] Training: 56%|█████▋ | 39453/70000 [13:57:36<10:40:42, 1.26s/step] Training: 56%|█████▋ | 39454/70000 [13:57:37<10:32:53, 1.24s/step] Training: 56%|█████▋ | 39455/70000 [13:57:38<10:48:46, 1.27s/step] Training: 56%|█████▋ | 39456/70000 [13:57:40<10:56:04, 1.29s/step] Training: 56%|█████▋ | 39457/70000 [13:57:41<11:02:32, 1.30s/step] Training: 56%|█████▋ | 39458/70000 [13:57:42<10:51:25, 1.28s/step] Training: 56%|█████▋ | 39459/70000 [13:57:44<10:37:36, 1.25s/step] Training: 56%|█████▋ | 39460/70000 [13:57:45<10:49:52, 1.28s/step] Training: 56%|█████▋ | 39461/70000 [13:57:46<10:36:46, 1.25s/step] Training: 56%|█████▋ | 39462/70000 [13:57:47<10:47:57, 1.27s/step] Training: 56%|█████▋ | 39463/70000 [13:57:49<11:03:45, 1.30s/step] Training: 56%|█████▋ | 39464/70000 [13:57:50<10:48:56, 1.28s/step] Training: 56%|█████▋ | 39465/70000 [13:57:51<10:56:29, 1.29s/step] Training: 56%|█████▋ | 39466/70000 [13:57:53<10:50:04, 1.28s/step] Training: 56%|█████▋ | 39467/70000 [13:57:54<10:37:37, 1.25s/step] Training: 56%|█████▋ | 39468/70000 [13:57:55<10:53:19, 1.28s/step] Training: 56%|█████▋ | 39469/70000 [13:57:56<10:38:44, 1.26s/step] Training: 56%|█████▋ | 39470/70000 [13:57:58<10:50:49, 1.28s/step] Training: 56%|█████▋ | 39471/70000 [13:57:59<10:46:47, 1.27s/step] Training: 56%|█████▋ | 39472/70000 [13:58:00<10:56:01, 1.29s/step] Training: 56%|█████▋ | 39473/70000 [13:58:01<10:48:14, 1.27s/step] Training: 56%|█████▋ | 39474/70000 [13:58:03<10:35:21, 1.25s/step] Training: 56%|█████▋ | 39475/70000 [13:58:04<10:44:07, 1.27s/step] Training: 56%|█████▋ | 39476/70000 [13:58:05<10:55:06, 1.29s/step] Training: 56%|█████▋ | 39477/70000 [13:58:06<10:40:10, 1.26s/step] Training: 56%|█████▋ | 39478/70000 [13:58:08<10:35:26, 1.25s/step] Training: 56%|█████▋ | 39479/70000 [13:58:09<10:47:14, 1.27s/step] Training: 56%|█████▋ | 39480/70000 [13:58:10<10:54:25, 1.29s/step] Training: 56%|█████▋ | 39481/70000 [13:58:12<10:42:31, 1.26s/step] Training: 56%|█████▋ | 39482/70000 [13:58:13<10:31:46, 1.24s/step] Training: 56%|█████▋ | 39483/70000 [13:58:14<10:23:39, 1.23s/step] Training: 56%|█████▋ | 39484/70000 [13:58:15<10:20:18, 1.22s/step] Training: 56%|█████▋ | 39485/70000 [13:58:16<10:39:29, 1.26s/step] Training: 56%|█████▋ | 39486/70000 [13:58:18<10:32:04, 1.24s/step] Training: 56%|█████▋ | 39487/70000 [13:58:19<10:47:08, 1.27s/step] Training: 56%|█████▋ | 39488/70000 [13:58:20<10:55:09, 1.29s/step] Training: 56%|█████▋ | 39489/70000 [13:58:22<11:00:37, 1.30s/step] Training: 56%|█████▋ | 39490/70000 [13:58:23<11:05:16, 1.31s/step] Training: 56%|█████▋ | 39491/70000 [13:58:24<10:46:56, 1.27s/step] Training: 56%|█████▋ | 39492/70000 [13:58:26<10:55:20, 1.29s/step] Training: 56%|█████▋ | 39493/70000 [13:58:27<10:51:10, 1.28s/step] Training: 56%|█████▋ | 39494/70000 [13:58:28<10:58:32, 1.30s/step] Training: 56%|█████▋ | 39495/70000 [13:58:29<10:48:40, 1.28s/step] Training: 56%|█████▋ | 39496/70000 [13:58:31<10:56:13, 1.29s/step] Training: 56%|█████▋ | 39497/70000 [13:58:32<11:02:11, 1.30s/step] Training: 56%|█████▋ | 39498/70000 [13:58:33<10:48:08, 1.27s/step] Training: 56%|█████▋ | 39499/70000 [13:58:34<10:35:21, 1.25s/step] Training: 56%|█████▋ | 39500/70000 [13:58:36<10:47:02, 1.27s/step]INFO 2026-03-13 10:08:28 ot_train.py:435 step:40K smpl:3M ep:9K epch:33.48 loss:0.012 grdn:1.489 lr:1.1e-05 updt_s:1.253 data_s:0.019 Training: 56%|█████▋ | 39501/70000 [13:58:37<10:34:35, 1.25s/step] Training: 56%|█████▋ | 39502/70000 [13:58:38<11:03:26, 1.31s/step] Training: 56%|█████▋ | 39503/70000 [13:58:40<10:50:56, 1.28s/step] Training: 56%|█████▋ | 39504/70000 [13:58:41<11:09:36, 1.32s/step] Training: 56%|█████▋ | 39505/70000 [13:58:42<10:57:15, 1.29s/step] Training: 56%|█████▋ | 39506/70000 [13:58:44<11:02:50, 1.30s/step] Training: 56%|█████▋ | 39507/70000 [13:58:45<10:45:27, 1.27s/step] Training: 56%|█████▋ | 39508/70000 [13:58:46<10:54:28, 1.29s/step] Training: 56%|█████▋ | 39509/70000 [13:58:47<11:03:58, 1.31s/step] Training: 56%|█████▋ | 39510/70000 [13:58:49<10:53:14, 1.29s/step] Training: 56%|█████▋ | 39511/70000 [13:58:50<11:01:30, 1.30s/step] Training: 56%|█████▋ | 39512/70000 [13:58:51<11:05:27, 1.31s/step] Training: 56%|█████▋ | 39513/70000 [13:58:53<10:50:00, 1.28s/step] Training: 56%|█████▋ | 39514/70000 [13:58:54<10:58:06, 1.30s/step] Training: 56%|█████▋ | 39515/70000 [13:58:55<10:42:01, 1.26s/step] Training: 56%|█████▋ | 39516/70000 [13:58:56<10:36:02, 1.25s/step] Training: 56%|█████▋ | 39517/70000 [13:58:57<10:26:08, 1.23s/step] Training: 56%|█████▋ | 39518/70000 [13:58:59<10:41:23, 1.26s/step] Training: 56%|█████▋ | 39519/70000 [13:59:00<10:53:29, 1.29s/step] Training: 56%|█████▋ | 39520/70000 [13:59:02<11:12:35, 1.32s/step] Training: 56%|█████▋ | 39521/70000 [13:59:03<11:13:44, 1.33s/step] Training: 56%|█████▋ | 39522/70000 [13:59:04<10:59:45, 1.30s/step] Training: 56%|█████▋ | 39523/70000 [13:59:05<10:42:02, 1.26s/step] Training: 56%|█████▋ | 39524/70000 [13:59:07<10:51:24, 1.28s/step] Training: 56%|█████▋ | 39525/70000 [13:59:08<10:36:43, 1.25s/step] Training: 56%|█████▋ | 39526/70000 [13:59:09<11:06:38, 1.31s/step] Training: 56%|█████▋ | 39527/70000 [13:59:10<10:55:53, 1.29s/step] Training: 56%|█████▋ | 39528/70000 [13:59:12<11:01:18, 1.30s/step] Training: 56%|█████▋ | 39529/70000 [13:59:13<11:04:36, 1.31s/step] Training: 56%|█████▋ | 39530/70000 [13:59:14<10:51:30, 1.28s/step] Training: 56%|█████▋ | 39531/70000 [13:59:16<10:37:47, 1.26s/step] Training: 56%|█████▋ | 39532/70000 [13:59:17<10:47:50, 1.28s/step] Training: 56%|█████▋ | 39533/70000 [13:59:18<10:35:02, 1.25s/step] Training: 56%|█████▋ | 39534/70000 [13:59:19<10:45:30, 1.27s/step] Training: 56%|█████▋ | 39535/70000 [13:59:21<10:37:28, 1.26s/step] Training: 56%|█████▋ | 39536/70000 [13:59:22<10:46:57, 1.27s/step] Training: 56%|█████▋ | 39537/70000 [13:59:23<10:44:21, 1.27s/step] Training: 56%|█████▋ | 39538/70000 [13:59:24<10:51:24, 1.28s/step] Training: 56%|█████▋ | 39539/70000 [13:59:26<10:37:36, 1.26s/step] Training: 56%|█████▋ | 39540/70000 [13:59:27<10:46:38, 1.27s/step] Training: 56%|█████▋ | 39541/70000 [13:59:28<10:33:36, 1.25s/step] Training: 56%|█████▋ | 39542/70000 [13:59:29<10:34:14, 1.25s/step] Training: 56%|█████▋ | 39543/70000 [13:59:31<10:45:21, 1.27s/step] Training: 56%|█████▋ | 39544/70000 [13:59:32<10:54:36, 1.29s/step] Training: 56%|█████▋ | 39545/70000 [13:59:33<10:47:17, 1.28s/step] Training: 56%|█████▋ | 39546/70000 [13:59:35<10:56:06, 1.29s/step] Training: 56%|█████▋ | 39547/70000 [13:59:36<10:40:26, 1.26s/step] Training: 56%|█████▋ | 39548/70000 [13:59:37<10:31:53, 1.25s/step] Training: 56%|█████▋ | 39549/70000 [13:59:38<10:23:24, 1.23s/step] Training: 56%|█████▋ | 39550/70000 [13:59:39<10:25:17, 1.23s/step] Training: 57%|█████▋ | 39551/70000 [13:59:41<10:38:55, 1.26s/step] Training: 57%|█████▋ | 39552/70000 [13:59:42<10:50:31, 1.28s/step] Training: 57%|█████▋ | 39553/70000 [13:59:43<10:36:11, 1.25s/step] Training: 57%|█████▋ | 39554/70000 [13:59:45<10:47:55, 1.28s/step] Training: 57%|█████▋ | 39555/70000 [13:59:46<10:35:19, 1.25s/step] Training: 57%|█████▋ | 39556/70000 [13:59:47<10:46:19, 1.27s/step] Training: 57%|█████▋ | 39557/70000 [13:59:48<10:34:36, 1.25s/step] Training: 57%|█████▋ | 39558/70000 [13:59:50<10:45:05, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=58182 Training: 57%|█████▋ | 39559/70000 [13:59:51<10:56:45, 1.29s/step] Training: 57%|█████▋ | 39560/70000 [13:59:52<11:00:13, 1.30s/step] Training: 57%|█████▋ | 39561/70000 [13:59:54<10:44:08, 1.27s/step] Training: 57%|█████▋ | 39562/70000 [13:59:55<10:33:28, 1.25s/step] Training: 57%|█████▋ | 39563/70000 [13:59:56<10:24:23, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=1608 Training: 57%|█████▋ | 39564/70000 [13:59:57<10:39:56, 1.26s/step] Training: 57%|█████▋ | 39565/70000 [13:59:58<10:28:24, 1.24s/step] Training: 57%|█████▋ | 39566/70000 [14:00:00<10:42:17, 1.27s/step] Training: 57%|█████▋ | 39567/70000 [14:00:01<10:48:02, 1.28s/step] Training: 57%|█████▋ | 39568/70000 [14:00:02<10:54:04, 1.29s/step] Training: 57%|█████▋ | 39569/70000 [14:00:04<10:44:51, 1.27s/step] Training: 57%|█████▋ | 39570/70000 [14:00:05<10:53:41, 1.29s/step] Training: 57%|█████▋ | 39571/70000 [14:00:06<10:39:30, 1.26s/step] Training: 57%|█████▋ | 39572/70000 [14:00:08<10:48:24, 1.28s/step] Training: 57%|█████▋ | 39573/70000 [14:00:09<10:34:39, 1.25s/step] Training: 57%|█████▋ | 39574/70000 [14:00:10<10:34:06, 1.25s/step] Training: 57%|█████▋ | 39575/70000 [14:00:11<10:53:58, 1.29s/step] Training: 57%|█████▋ | 39576/70000 [14:00:13<11:01:27, 1.30s/step] Training: 57%|█████▋ | 39577/70000 [14:00:14<10:47:46, 1.28s/step] Training: 57%|█████▋ | 39578/70000 [14:00:15<10:55:00, 1.29s/step] Training: 57%|█████▋ | 39579/70000 [14:00:16<10:39:13, 1.26s/step] Training: 57%|█████▋ | 39580/70000 [14:00:18<10:33:05, 1.25s/step] Training: 57%|█████▋ | 39581/70000 [14:00:19<10:23:53, 1.23s/step] Training: 57%|█████▋ | 39582/70000 [14:00:20<10:21:50, 1.23s/step] Training: 57%|█████▋ | 39583/70000 [14:00:21<10:42:24, 1.27s/step] Training: 57%|█████▋ | 39584/70000 [14:00:23<10:55:33, 1.29s/step] Training: 57%|█████▋ | 39585/70000 [14:00:24<11:01:51, 1.31s/step] Training: 57%|█████▋ | 39586/70000 [14:00:25<10:49:11, 1.28s/step] Training: 57%|█████▋ | 39587/70000 [14:00:26<10:35:00, 1.25s/step] Training: 57%|█████▋ | 39588/70000 [14:00:28<10:46:22, 1.28s/step] Training: 57%|█████▋ | 39589/70000 [14:00:29<10:34:43, 1.25s/step] Training: 57%|█████▋ | 39590/70000 [14:00:30<10:45:14, 1.27s/step] Training: 57%|█████▋ | 39591/70000 [14:00:32<10:38:24, 1.26s/step] Training: 57%|█████▋ | 39592/70000 [14:00:33<11:02:16, 1.31s/step] Training: 57%|█████▋ | 39593/70000 [14:00:34<11:07:45, 1.32s/step] Training: 57%|█████▋ | 39594/70000 [14:00:36<10:51:21, 1.29s/step] Training: 57%|█████▋ | 39595/70000 [14:00:37<10:37:11, 1.26s/step] Training: 57%|█████▋ | 39596/70000 [14:00:38<10:47:44, 1.28s/step] Training: 57%|█████▋ | 39597/70000 [14:00:39<10:34:14, 1.25s/step] Training: 57%|█████▋ | 39598/70000 [14:00:40<10:24:39, 1.23s/step] Training: 57%|█████▋ | 39599/70000 [14:00:42<10:38:30, 1.26s/step] Training: 57%|█████▋ | 39600/70000 [14:00:43<11:03:58, 1.31s/step]INFO 2026-03-13 10:10:35 ot_train.py:435 step:40K smpl:3M ep:9K epch:33.57 loss:0.012 grdn:1.831 lr:1.1e-05 updt_s:1.254 data_s:0.019 Training: 57%|█████▋ | 39601/70000 [14:00:44<10:53:09, 1.29s/step] Training: 57%|█████▋ | 39602/70000 [14:00:46<10:59:26, 1.30s/step] Training: 57%|█████▋ | 39603/70000 [14:00:47<10:43:12, 1.27s/step] Training: 57%|█████▋ | 39604/70000 [14:00:48<10:50:38, 1.28s/step] Training: 57%|█████▋ | 39605/70000 [14:00:49<10:36:26, 1.26s/step] Training: 57%|█████▋ | 39606/70000 [14:00:51<10:26:24, 1.24s/step] Training: 57%|█████▋ | 39607/70000 [14:00:52<10:57:27, 1.30s/step] Training: 57%|█████▋ | 39608/70000 [14:00:54<11:18:00, 1.34s/step] Training: 57%|█████▋ | 39609/70000 [14:00:55<10:58:04, 1.30s/step] Training: 57%|█████▋ | 39610/70000 [14:00:56<11:01:27, 1.31s/step] Training: 57%|█████▋ | 39611/70000 [14:00:57<10:44:37, 1.27s/step] Training: 57%|█████▋ | 39612/70000 [14:00:58<10:34:00, 1.25s/step] Training: 57%|█████▋ | 39613/70000 [14:01:00<10:24:10, 1.23s/step] Training: 57%|█████▋ | 39614/70000 [14:01:01<10:16:48, 1.22s/step] Training: 57%|█████▋ | 39615/70000 [14:01:02<10:31:52, 1.25s/step] Training: 57%|█████▋ | 39616/70000 [14:01:04<10:56:50, 1.30s/step] Training: 57%|█████▋ | 39617/70000 [14:01:05<10:59:48, 1.30s/step] Training: 57%|█████▋ | 39618/70000 [14:01:06<10:49:54, 1.28s/step] Training: 57%|█████▋ | 39619/70000 [14:01:07<10:36:37, 1.26s/step] Training: 57%|█████▋ | 39620/70000 [14:01:09<10:45:37, 1.28s/step] Training: 57%|█████▋ | 39621/70000 [14:01:10<10:34:13, 1.25s/step] Training: 57%|█████▋ | 39622/70000 [14:01:11<10:24:48, 1.23s/step] Training: 57%|█████▋ | 39623/70000 [14:01:12<10:35:17, 1.25s/step] Training: 57%|█████▋ | 39624/70000 [14:01:14<10:46:45, 1.28s/step] Training: 57%|█████▋ | 39625/70000 [14:01:15<10:56:31, 1.30s/step] Training: 57%|█████▋ | 39626/70000 [14:01:16<10:42:23, 1.27s/step] Training: 57%|█████▋ | 39627/70000 [14:01:17<10:30:55, 1.25s/step] Training: 57%|█████▋ | 39628/70000 [14:01:19<10:43:04, 1.27s/step] Training: 57%|█████▋ | 39629/70000 [14:01:20<10:30:44, 1.25s/step] Training: 57%|█████▋ | 39630/70000 [14:01:21<10:21:32, 1.23s/step] Training: 57%|█████▋ | 39631/70000 [14:01:22<10:37:34, 1.26s/step] Training: 57%|█████▋ | 39632/70000 [14:01:24<10:47:21, 1.28s/step] Training: 57%|█████▋ | 39633/70000 [14:01:25<10:55:50, 1.30s/step] Training: 57%|█████▋ | 39634/70000 [14:01:26<11:00:40, 1.31s/step] Training: 57%|█████▋ | 39635/70000 [14:01:28<10:43:22, 1.27s/step] Training: 57%|█████▋ | 39636/70000 [14:01:29<10:51:55, 1.29s/step] Training: 57%|█████▋ | 39637/70000 [14:01:30<10:36:34, 1.26s/step] Training: 57%|█████▋ | 39638/70000 [14:01:31<10:26:18, 1.24s/step] Training: 57%|█████▋ | 39639/70000 [14:01:33<10:41:10, 1.27s/step] Training: 57%|█████▋ | 39640/70000 [14:01:34<10:50:44, 1.29s/step] Training: 57%|█████▋ | 39641/70000 [14:01:35<10:54:31, 1.29s/step] Training: 57%|█████▋ | 39642/70000 [14:01:37<10:58:46, 1.30s/step] Training: 57%|█████▋ | 39643/70000 [14:01:38<10:41:30, 1.27s/step] Training: 57%|█████▋ | 39644/70000 [14:01:39<10:32:01, 1.25s/step] Training: 57%|█████▋ | 39645/70000 [14:01:40<10:22:35, 1.23s/step] Training: 57%|█████▋ | 39646/70000 [14:01:41<10:15:50, 1.22s/step] Training: 57%|█████▋ | 39647/70000 [14:01:43<10:34:22, 1.25s/step] Training: 57%|█████▋ | 39648/70000 [14:01:44<10:51:06, 1.29s/step] Training: 57%|█████▋ | 39649/70000 [14:01:45<11:02:21, 1.31s/step] Training: 57%|█████▋ | 39650/70000 [14:01:47<10:51:06, 1.29s/step] Training: 57%|█████▋ | 39651/70000 [14:01:48<10:35:47, 1.26s/step] Training: 57%|█████▋ | 39652/70000 [14:01:49<10:46:29, 1.28s/step] Training: 57%|█████▋ | 39653/70000 [14:01:50<10:32:35, 1.25s/step] Training: 57%|█████▋ | 39654/70000 [14:01:52<10:23:07, 1.23s/step] Training: 57%|█████▋ | 39655/70000 [14:01:53<10:44:01, 1.27s/step] Training: 57%|█████▋ | 39656/70000 [14:01:54<10:52:32, 1.29s/step] Training: 57%|█████▋ | 39657/70000 [14:01:56<10:58:41, 1.30s/step] Training: 57%|█████▋ | 39658/70000 [14:01:57<11:06:03, 1.32s/step] Training: 57%|█████▋ | 39659/70000 [14:01:58<10:45:20, 1.28s/step] Training: 57%|█████▋ | 39660/70000 [14:01:59<10:52:38, 1.29s/step] Training: 57%|█████▋ | 39661/70000 [14:02:01<10:36:45, 1.26s/step] Training: 57%|█████▋ | 39662/70000 [14:02:02<10:25:54, 1.24s/step] Training: 57%|█████▋ | 39663/70000 [14:02:03<10:42:02, 1.27s/step] Training: 57%|█████▋ | 39664/70000 [14:02:04<10:51:05, 1.29s/step] Training: 57%|█████▋ | 39665/70000 [14:02:06<10:43:39, 1.27s/step] Training: 57%|█████▋ | 39666/70000 [14:02:07<11:12:29, 1.33s/step] Training: 57%|█████▋ | 39667/70000 [14:02:08<10:50:43, 1.29s/step] Training: 57%|█████▋ | 39668/70000 [14:02:10<10:56:51, 1.30s/step] Training: 57%|█████▋ | 39669/70000 [14:02:11<10:40:24, 1.27s/step] Training: 57%|█████▋ | 39670/70000 [14:02:12<10:28:26, 1.24s/step] Training: 57%|█████▋ | 39671/70000 [14:02:13<10:40:58, 1.27s/step] Training: 57%|█████▋ | 39672/70000 [14:02:15<10:49:18, 1.28s/step] Training: 57%|█████▋ | 39673/70000 [14:02:16<10:37:30, 1.26s/step] Training: 57%|█████▋ | 39674/70000 [14:02:17<10:49:14, 1.28s/step] Training: 57%|█████▋ | 39675/70000 [14:02:18<10:34:18, 1.26s/step] Training: 57%|█████▋ | 39676/70000 [14:02:20<10:25:27, 1.24s/step] Training: 57%|█████▋ | 39677/70000 [14:02:21<10:18:03, 1.22s/step] Training: 57%|█████▋ | 39678/70000 [14:02:22<10:14:08, 1.22s/step] Training: 57%|█████▋ | 39679/70000 [14:02:23<10:30:36, 1.25s/step] Training: 57%|█████▋ | 39680/70000 [14:02:25<10:47:03, 1.28s/step] Training: 57%|█████▋ | 39681/70000 [14:02:26<10:53:42, 1.29s/step] Training: 57%|█████▋ | 39682/70000 [14:02:27<10:46:59, 1.28s/step] Training: 57%|█████▋ | 39683/70000 [14:02:28<10:32:56, 1.25s/step] Training: 57%|█████▋ | 39684/70000 [14:02:30<10:42:49, 1.27s/step] Training: 57%|█████▋ | 39685/70000 [14:02:31<10:30:30, 1.25s/step] Training: 57%|█████▋ | 39686/70000 [14:02:32<10:22:02, 1.23s/step] Training: 57%|█████▋ | 39687/70000 [14:02:34<10:43:31, 1.27s/step] Training: 57%|█████▋ | 39688/70000 [14:02:35<10:51:32, 1.29s/step] Training: 57%|█████▋ | 39689/70000 [14:02:36<10:57:37, 1.30s/step] Training: 57%|█████▋ | 39690/70000 [14:02:37<10:51:16, 1.29s/step] Training: 57%|█████▋ | 39691/70000 [14:02:39<10:34:11, 1.26s/step] Training: 57%|█████▋ | 39692/70000 [14:02:40<10:44:34, 1.28s/step] Training: 57%|█████▋ | 39693/70000 [14:02:41<10:31:06, 1.25s/step] Training: 57%|█████▋ | 39694/70000 [14:02:42<10:21:47, 1.23s/step] Training: 57%|█████▋ | 39695/70000 [14:02:44<10:36:59, 1.26s/step] Training: 57%|█████▋ | 39696/70000 [14:02:45<10:46:33, 1.28s/step] Training: 57%|█████▋ | 39697/70000 [14:02:46<10:39:13, 1.27s/step] Training: 57%|█████▋ | 39698/70000 [14:02:47<10:28:10, 1.24s/step] Training: 57%|█████▋ | 39699/70000 [14:02:49<10:43:53, 1.27s/step] Training: 57%|█████▋ | 39700/70000 [14:02:50<10:49:52, 1.29s/step]INFO 2026-03-13 10:12:42 ot_train.py:435 step:40K smpl:3M ep:9K epch:33.65 loss:0.012 grdn:2.666 lr:1.1e-05 updt_s:1.248 data_s:0.019 Training: 57%|█████▋ | 39701/70000 [14:02:51<10:35:54, 1.26s/step] Training: 57%|█████▋ | 39702/70000 [14:02:52<10:25:09, 1.24s/step] Training: 57%|█████▋ | 39703/70000 [14:02:54<10:20:25, 1.23s/step] Training: 57%|█████▋ | 39704/70000 [14:02:55<10:52:52, 1.29s/step] Training: 57%|█████▋ | 39705/70000 [14:02:56<10:40:34, 1.27s/step] Training: 57%|█████▋ | 39706/70000 [14:02:58<10:28:19, 1.24s/step] Training: 57%|█████▋ | 39707/70000 [14:02:59<10:29:51, 1.25s/step] Training: 57%|█████▋ | 39708/70000 [14:03:00<10:25:46, 1.24s/step] Training: 57%|█████▋ | 39709/70000 [14:03:01<10:18:39, 1.23s/step] Training: 57%|█████▋ | 39710/70000 [14:03:02<10:13:34, 1.22s/step] Training: 57%|█████▋ | 39711/70000 [14:03:04<10:32:45, 1.25s/step] Training: 57%|█████▋ | 39712/70000 [14:03:05<10:51:05, 1.29s/step] Training: 57%|█████▋ | 39713/70000 [14:03:06<10:57:02, 1.30s/step] Training: 57%|█████▋ | 39714/70000 [14:03:08<10:40:27, 1.27s/step] Training: 57%|█████▋ | 39715/70000 [14:03:09<10:35:52, 1.26s/step] Training: 57%|█████▋ | 39716/70000 [14:03:10<10:44:08, 1.28s/step] Training: 57%|█████▋ | 39717/70000 [14:03:11<10:30:46, 1.25s/step] Training: 57%|█████▋ | 39718/70000 [14:03:13<10:21:30, 1.23s/step] Training: 57%|█████▋ | 39719/70000 [14:03:14<10:38:04, 1.26s/step] Training: 57%|█████▋ | 39720/70000 [14:03:15<10:47:39, 1.28s/step] Training: 57%|█████▋ | 39721/70000 [14:03:17<10:54:40, 1.30s/step] Training: 57%|█████▋ | 39722/70000 [14:03:18<10:40:00, 1.27s/step] Training: 57%|█████▋ | 39723/70000 [14:03:19<10:47:57, 1.28s/step] Training: 57%|█████▋ | 39724/70000 [14:03:20<11:07:19, 1.32s/step] Training: 57%|█████▋ | 39725/70000 [14:03:22<10:47:05, 1.28s/step] Training: 57%|█████▋ | 39726/70000 [14:03:23<10:32:35, 1.25s/step] Training: 57%|█████▋ | 39727/70000 [14:03:24<10:42:24, 1.27s/step] Training: 57%|█████▋ | 39728/70000 [14:03:26<10:52:09, 1.29s/step] Training: 57%|█████▋ | 39729/70000 [14:03:27<10:41:47, 1.27s/step] Training: 57%|█████▋ | 39730/70000 [14:03:28<10:28:58, 1.25s/step] Training: 57%|█████▋ | 39731/70000 [14:03:29<10:41:10, 1.27s/step] Training: 57%|█████▋ | 39732/70000 [14:03:31<11:01:29, 1.31s/step] Training: 57%|█████▋ | 39733/70000 [14:03:32<10:42:47, 1.27s/step] Training: 57%|█████▋ | 39734/70000 [14:03:33<10:29:43, 1.25s/step] Training: 57%|█████▋ | 39735/70000 [14:03:34<10:24:15, 1.24s/step] Training: 57%|█████▋ | 39736/70000 [14:03:36<10:57:04, 1.30s/step] Training: 57%|█████▋ | 39737/70000 [14:03:37<10:44:19, 1.28s/step] Training: 57%|█████▋ | 39738/70000 [14:03:38<10:31:43, 1.25s/step] Training: 57%|█████▋ | 39739/70000 [14:03:39<10:42:21, 1.27s/step] Training: 57%|█████▋ | 39740/70000 [14:03:41<10:53:22, 1.30s/step] Training: 57%|█████▋ | 39741/70000 [14:03:42<10:35:48, 1.26s/step] Training: 57%|█████▋ | 39742/70000 [14:03:43<10:25:21, 1.24s/step] Training: 57%|█████▋ | 39743/70000 [14:03:44<10:37:09, 1.26s/step] Training: 57%|█████▋ | 39744/70000 [14:03:46<10:52:32, 1.29s/step] Training: 57%|█████▋ | 39745/70000 [14:03:47<10:56:36, 1.30s/step] Training: 57%|█████▋ | 39746/70000 [14:03:48<10:39:41, 1.27s/step] Training: 57%|█████▋ | 39747/70000 [14:03:50<10:30:05, 1.25s/step] Training: 57%|█████▋ | 39748/70000 [14:03:51<10:47:34, 1.28s/step] Training: 57%|█████▋ | 39749/70000 [14:03:52<10:31:43, 1.25s/step] Training: 57%|█████▋ | 39750/70000 [14:03:53<10:21:53, 1.23s/step] Training: 57%|█████▋ | 39751/70000 [14:03:55<10:43:29, 1.28s/step] Training: 57%|█████▋ | 39752/70000 [14:03:56<10:51:41, 1.29s/step] Training: 57%|█████▋ | 39753/70000 [14:03:57<10:56:37, 1.30s/step] Training: 57%|█████▋ | 39754/70000 [14:03:59<10:39:44, 1.27s/step] Training: 57%|█████▋ | 39755/70000 [14:04:00<10:49:48, 1.29s/step] Training: 57%|█████▋ | 39756/70000 [14:04:01<10:54:47, 1.30s/step] Training: 57%|█████▋ | 39757/70000 [14:04:03<11:01:09, 1.31s/step] Training: 57%|█████▋ | 39758/70000 [14:04:04<10:41:13, 1.27s/step] Training: 57%|█████▋ | 39759/70000 [14:04:05<10:48:49, 1.29s/step] Training: 57%|█████▋ | 39760/70000 [14:04:06<10:54:58, 1.30s/step] Training: 57%|█████▋ | 39761/70000 [14:04:08<10:45:10, 1.28s/step] Training: 57%|█████▋ | 39762/70000 [14:04:09<10:32:17, 1.25s/step] Training: 57%|█████▋ | 39763/70000 [14:04:10<10:42:52, 1.28s/step] Training: 57%|█████▋ | 39764/70000 [14:04:11<10:50:19, 1.29s/step] Training: 57%|█████▋ | 39765/70000 [14:04:13<10:58:56, 1.31s/step] Training: 57%|█████▋ | 39766/70000 [14:04:14<10:39:21, 1.27s/step] Training: 57%|█████▋ | 39767/70000 [14:04:15<10:48:39, 1.29s/step] Training: 57%|█████▋ | 39768/70000 [14:04:17<10:56:02, 1.30s/step] Training: 57%|█████▋ | 39769/70000 [14:04:18<10:44:02, 1.28s/step] Training: 57%|█████▋ | 39770/70000 [14:04:19<10:31:21, 1.25s/step] Training: 57%|█████▋ | 39771/70000 [14:04:20<10:42:04, 1.27s/step] Training: 57%|█████▋ | 39772/70000 [14:04:22<10:31:41, 1.25s/step] Training: 57%|█████▋ | 39773/70000 [14:04:23<10:26:02, 1.24s/step] Training: 57%|█████▋ | 39774/70000 [14:04:24<10:18:00, 1.23s/step] Training: 57%|█████▋ | 39775/70000 [14:04:25<10:32:13, 1.26s/step] Training: 57%|█████▋ | 39776/70000 [14:04:27<11:04:04, 1.32s/step] Training: 57%|█████▋ | 39777/70000 [14:04:28<11:04:52, 1.32s/step] Training: 57%|█████▋ | 39778/70000 [14:04:29<10:45:33, 1.28s/step] Training: 57%|█████▋ | 39779/70000 [14:04:30<10:35:12, 1.26s/step] Training: 57%|█████▋ | 39780/70000 [14:04:32<10:45:00, 1.28s/step] Training: 57%|█████▋ | 39781/70000 [14:04:33<10:43:32, 1.28s/step] Training: 57%|█████▋ | 39782/70000 [14:04:34<10:28:37, 1.25s/step] Training: 57%|█████▋ | 39783/70000 [14:04:35<10:25:55, 1.24s/step] Training: 57%|█████▋ | 39784/70000 [14:04:37<10:51:03, 1.29s/step] Training: 57%|█████▋ | 39785/70000 [14:04:38<10:55:42, 1.30s/step] Training: 57%|█████▋ | 39786/70000 [14:04:39<10:39:01, 1.27s/step] Training: 57%|█████▋ | 39787/70000 [14:04:41<10:48:09, 1.29s/step] Training: 57%|█████▋ | 39788/70000 [14:04:42<10:54:02, 1.30s/step] Training: 57%|█████▋ | 39789/70000 [14:04:43<10:37:27, 1.27s/step] Training: 57%|█████▋ | 39790/70000 [14:04:45<10:50:15, 1.29s/step] Training: 57%|█████▋ | 39791/70000 [14:04:46<10:35:33, 1.26s/step] Training: 57%|█████▋ | 39792/70000 [14:04:47<10:44:34, 1.28s/step] Training: 57%|█████▋ | 39793/70000 [14:04:48<10:37:13, 1.27s/step] Training: 57%|█████▋ | 39794/70000 [14:04:50<10:25:48, 1.24s/step] Training: 57%|█████▋ | 39795/70000 [14:04:51<10:37:37, 1.27s/step] Training: 57%|█████▋ | 39796/70000 [14:04:52<10:32:46, 1.26s/step] Training: 57%|█████▋ | 39797/70000 [14:04:53<10:21:56, 1.24s/step] Training: 57%|█████▋ | 39798/70000 [14:04:55<10:25:37, 1.24s/step] Training: 57%|█████▋ | 39799/70000 [14:04:56<10:36:54, 1.27s/step] Training: 57%|█████▋ | 39800/70000 [14:04:57<10:48:21, 1.29s/step]INFO 2026-03-13 10:14:49 ot_train.py:435 step:40K smpl:3M ep:9K epch:33.73 loss:0.012 grdn:1.482 lr:1.0e-05 updt_s:1.250 data_s:0.019 Training: 57%|█████▋ | 39801/70000 [14:04:58<10:38:36, 1.27s/step] Training: 57%|█████▋ | 39802/70000 [14:05:00<10:26:51, 1.25s/step] Training: 57%|█████▋ | 39803/70000 [14:05:01<10:37:48, 1.27s/step] Training: 57%|█████▋ | 39804/70000 [14:05:02<10:31:26, 1.25s/step] Training: 57%|█████▋ | 39805/70000 [14:05:03<10:22:05, 1.24s/step] Training: 57%|█████▋ | 39806/70000 [14:05:05<10:15:06, 1.22s/step] Training: 57%|█████▋ | 39807/70000 [14:05:06<10:49:28, 1.29s/step] Training: 57%|█████▋ | 39808/70000 [14:05:07<11:01:56, 1.32s/step] Training: 57%|█████▋ | 39809/70000 [14:05:09<11:05:02, 1.32s/step] Training: 57%|█████▋ | 39810/70000 [14:05:10<10:45:30, 1.28s/step] Training: 57%|█████▋ | 39811/70000 [14:05:11<10:34:09, 1.26s/step] Training: 57%|█████▋ | 39812/70000 [14:05:12<10:23:18, 1.24s/step] Training: 57%|█████▋ | 39813/70000 [14:05:14<10:33:43, 1.26s/step] Training: 57%|█████▋ | 39814/70000 [14:05:15<10:49:03, 1.29s/step] Training: 57%|█████▋ | 39815/70000 [14:05:16<10:38:30, 1.27s/step] Training: 57%|█████▋ | 39816/70000 [14:05:18<10:47:03, 1.29s/step] Training: 57%|█████▋ | 39817/70000 [14:05:19<10:53:27, 1.30s/step] Training: 57%|█████▋ | 39818/70000 [14:05:20<10:37:11, 1.27s/step] Training: 57%|█████▋ | 39819/70000 [14:05:21<10:47:41, 1.29s/step] Training: 57%|█████▋ | 39820/70000 [14:05:23<10:53:33, 1.30s/step] Training: 57%|█████▋ | 39821/70000 [14:05:24<10:36:25, 1.27s/step] Training: 57%|█████▋ | 39822/70000 [14:05:25<10:24:31, 1.24s/step] Training: 57%|█████▋ | 39823/70000 [14:05:26<10:40:43, 1.27s/step] Training: 57%|█████▋ | 39824/70000 [14:05:28<10:48:33, 1.29s/step] Training: 57%|█████▋ | 39825/70000 [14:05:29<10:39:18, 1.27s/step] Training: 57%|█████▋ | 39826/70000 [14:05:30<10:26:22, 1.25s/step] Training: 57%|█████▋ | 39827/70000 [14:05:31<10:37:47, 1.27s/step] Training: 57%|█████▋ | 39828/70000 [14:05:33<10:42:31, 1.28s/step] Training: 57%|█████▋ | 39829/70000 [14:05:34<10:29:04, 1.25s/step] Training: 57%|█████▋ | 39830/70000 [14:05:35<10:19:22, 1.23s/step] Training: 57%|█████▋ | 39831/70000 [14:05:37<10:53:04, 1.30s/step] Training: 57%|█████▋ | 39832/70000 [14:05:38<11:00:25, 1.31s/step] Training: 57%|█████▋ | 39833/70000 [14:05:39<10:44:18, 1.28s/step] Training: 57%|█████▋ | 39834/70000 [14:05:40<10:30:45, 1.25s/step] Training: 57%|█████▋ | 39835/70000 [14:05:42<10:41:54, 1.28s/step] Training: 57%|█████▋ | 39836/70000 [14:05:43<10:48:58, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=12810 Training: 57%|█████▋ | 39837/70000 [14:05:44<10:33:23, 1.26s/step] Training: 57%|█████▋ | 39838/70000 [14:05:45<10:22:29, 1.24s/step] Training: 57%|█████▋ | 39839/70000 [14:05:47<10:36:27, 1.27s/step] Training: 57%|█████▋ | 39840/70000 [14:05:48<10:53:11, 1.30s/step] Training: 57%|█████▋ | 39841/70000 [14:05:49<10:57:43, 1.31s/step] Training: 57%|█████▋ | 39842/70000 [14:05:51<10:40:15, 1.27s/step] Training: 57%|█████▋ | 39843/70000 [14:05:52<10:30:10, 1.25s/step] Training: 57%|█████▋ | 39844/70000 [14:05:53<10:22:28, 1.24s/step] Training: 57%|█████▋ | 39845/70000 [14:05:54<10:15:09, 1.22s/step] Training: 57%|█████▋ | 39846/70000 [14:05:55<10:10:07, 1.21s/step] Training: 57%|█████▋ | 39847/70000 [14:05:57<10:13:11, 1.22s/step] Training: 57%|█████▋ | 39848/70000 [14:05:58<10:29:31, 1.25s/step] Training: 57%|█████▋ | 39849/70000 [14:05:59<10:41:44, 1.28s/step] Training: 57%|█████▋ | 39850/70000 [14:06:01<10:29:02, 1.25s/step] Training: 57%|█████▋ | 39851/70000 [14:06:02<10:39:08, 1.27s/step] Training: 57%|█████▋ | 39852/70000 [14:06:03<10:47:09, 1.29s/step] Training: 57%|█████▋ | 39853/70000 [14:06:04<10:32:26, 1.26s/step] Training: 57%|█████▋ | 39854/70000 [14:06:06<10:21:47, 1.24s/step] Training: 57%|█████▋ | 39855/70000 [14:06:07<10:23:19, 1.24s/step] Training: 57%|█████▋ | 39856/70000 [14:06:08<10:36:44, 1.27s/step] Training: 57%|█████▋ | 39857/70000 [14:06:09<10:26:32, 1.25s/step] Training: 57%|█████▋ | 39858/70000 [14:06:11<10:18:30, 1.23s/step] Training: 57%|█████▋ | 39859/70000 [14:06:12<10:31:50, 1.26s/step] Training: 57%|█████▋ | 39860/70000 [14:06:13<10:41:49, 1.28s/step] Training: 57%|█████▋ | 39861/70000 [14:06:14<10:28:36, 1.25s/step] Training: 57%|█████▋ | 39862/70000 [14:06:16<10:20:20, 1.23s/step] Training: 57%|█████▋ | 39863/70000 [14:06:17<10:34:43, 1.26s/step] Training: 57%|█████▋ | 39864/70000 [14:06:18<11:00:16, 1.31s/step] Training: 57%|█████▋ | 39865/70000 [14:06:20<10:49:26, 1.29s/step] Training: 57%|█████▋ | 39866/70000 [14:06:21<10:34:08, 1.26s/step] Training: 57%|█████▋ | 39867/70000 [14:06:22<10:44:16, 1.28s/step] Training: 57%|█████▋ | 39868/70000 [14:06:23<10:49:55, 1.29s/step] Training: 57%|█████▋ | 39869/70000 [14:06:25<10:33:39, 1.26s/step] Training: 57%|█████▋ | 39870/70000 [14:06:26<10:22:59, 1.24s/step] Training: 57%|█████▋ | 39871/70000 [14:06:27<10:36:11, 1.27s/step] Training: 57%|█████▋ | 39872/70000 [14:06:29<11:01:43, 1.32s/step] Training: 57%|█████▋ | 39873/70000 [14:06:30<10:42:05, 1.28s/step] Training: 57%|█████▋ | 39874/70000 [14:06:31<10:48:06, 1.29s/step] Training: 57%|█████▋ | 39875/70000 [14:06:32<10:37:31, 1.27s/step] Training: 57%|█████▋ | 39876/70000 [14:06:33<10:27:48, 1.25s/step] Training: 57%|█████▋ | 39877/70000 [14:06:35<10:18:13, 1.23s/step] Training: 57%|█████▋ | 39878/70000 [14:06:36<10:11:30, 1.22s/step] Training: 57%|█████▋ | 39879/70000 [14:06:37<10:13:20, 1.22s/step] Training: 57%|█████▋ | 39880/70000 [14:06:38<10:30:06, 1.26s/step] Training: 57%|█████▋ | 39881/70000 [14:06:40<10:45:22, 1.29s/step] Training: 57%|█████▋ | 39882/70000 [14:06:41<10:30:50, 1.26s/step] Training: 57%|█████▋ | 39883/70000 [14:06:42<10:41:40, 1.28s/step] Training: 57%|█████▋ | 39884/70000 [14:06:44<10:51:39, 1.30s/step] Training: 57%|█████▋ | 39885/70000 [14:06:45<10:35:07, 1.27s/step] Training: 57%|█████▋ | 39886/70000 [14:06:46<10:23:40, 1.24s/step] Training: 57%|█████▋ | 39887/70000 [14:06:47<10:19:48, 1.23s/step] Training: 57%|█████▋ | 39888/70000 [14:06:49<10:35:14, 1.27s/step] Training: 57%|█████▋ | 39889/70000 [14:06:50<10:47:17, 1.29s/step] Training: 57%|█████▋ | 39890/70000 [14:06:51<10:30:51, 1.26s/step] Training: 57%|█████▋ | 39891/70000 [14:06:52<10:41:28, 1.28s/step] Training: 57%|█████▋ | 39892/70000 [14:06:54<10:48:17, 1.29s/step] Training: 57%|█████▋ | 39893/70000 [14:06:55<10:32:28, 1.26s/step] Training: 57%|█████▋ | 39894/70000 [14:06:56<10:21:42, 1.24s/step] Training: 57%|█████▋ | 39895/70000 [14:06:57<10:35:26, 1.27s/step] Training: 57%|█████▋ | 39896/70000 [14:06:59<10:45:03, 1.29s/step] Training: 57%|█████▋ | 39897/70000 [14:07:00<10:51:13, 1.30s/step] Training: 57%|█████▋ | 39898/70000 [14:07:01<10:34:34, 1.26s/step] Training: 57%|█████▋ | 39899/70000 [14:07:03<10:44:14, 1.28s/step] Training: 57%|█████▋ | 39900/70000 [14:07:04<10:50:19, 1.30s/step]INFO 2026-03-13 10:16:56 ot_train.py:435 step:40K smpl:3M ep:9K epch:33.82 loss:0.013 grdn:1.956 lr:1.0e-05 updt_s:1.246 data_s:0.019 Training: 57%|█████▋ | 39901/70000 [14:07:05<10:33:53, 1.26s/step] Training: 57%|█████▋ | 39902/70000 [14:07:06<10:22:32, 1.24s/step] Training: 57%|█████▋ | 39903/70000 [14:07:08<10:38:57, 1.27s/step] Training: 57%|█████▋ | 39904/70000 [14:07:09<10:52:41, 1.30s/step] Training: 57%|█████▋ | 39905/70000 [14:07:10<11:00:30, 1.32s/step] Training: 57%|█████▋ | 39906/70000 [14:07:12<10:40:23, 1.28s/step] Training: 57%|█████▋ | 39907/70000 [14:07:13<10:29:59, 1.26s/step] Training: 57%|█████▋ | 39908/70000 [14:07:14<10:23:06, 1.24s/step] Training: 57%|█████▋ | 39909/70000 [14:07:15<10:15:19, 1.23s/step] Training: 57%|█████▋ | 39910/70000 [14:07:16<10:09:55, 1.22s/step] Training: 57%|█████▋ | 39911/70000 [14:07:18<10:10:48, 1.22s/step] Training: 57%|█████▋ | 39912/70000 [14:07:19<10:29:11, 1.25s/step] Training: 57%|█████▋ | 39913/70000 [14:07:20<10:19:25, 1.24s/step] Training: 57%|█████▋ | 39914/70000 [14:07:21<10:34:51, 1.27s/step] Training: 57%|█████▋ | 39915/70000 [14:07:23<10:45:01, 1.29s/step] Training: 57%|█████▋ | 39916/70000 [14:07:24<10:49:55, 1.30s/step] Training: 57%|█████▋ | 39917/70000 [14:07:25<10:33:50, 1.26s/step] Training: 57%|█████▋ | 39918/70000 [14:07:26<10:22:39, 1.24s/step] Training: 57%|█████▋ | 39919/70000 [14:07:28<10:17:58, 1.23s/step] Training: 57%|█████▋ | 39920/70000 [14:07:29<10:33:23, 1.26s/step] Training: 57%|█████▋ | 39921/70000 [14:07:30<10:39:44, 1.28s/step] Training: 57%|█████▋ | 39922/70000 [14:07:32<10:46:20, 1.29s/step] Training: 57%|█████▋ | 39923/70000 [14:07:33<10:51:14, 1.30s/step] Training: 57%|█████▋ | 39924/70000 [14:07:34<10:55:06, 1.31s/step] Training: 57%|█████▋ | 39925/70000 [14:07:35<10:37:48, 1.27s/step] Training: 57%|█████▋ | 39926/70000 [14:07:37<10:24:52, 1.25s/step] Training: 57%|█████▋ | 39927/70000 [14:07:38<10:35:51, 1.27s/step] Training: 57%|█████▋ | 39928/70000 [14:07:39<10:46:39, 1.29s/step] Training: 57%|█████▋ | 39929/70000 [14:07:41<10:51:43, 1.30s/step] Training: 57%|█████▋ | 39930/70000 [14:07:42<10:37:32, 1.27s/step] Training: 57%|█████▋ | 39931/70000 [14:07:43<10:42:57, 1.28s/step] Training: 57%|█████▋ | 39932/70000 [14:07:45<10:49:42, 1.30s/step] Training: 57%|█████▋ | 39933/70000 [14:07:46<10:33:35, 1.26s/step] Training: 57%|█████▋ | 39934/70000 [14:07:47<10:22:08, 1.24s/step] Training: 57%|█████▋ | 39935/70000 [14:07:48<10:37:04, 1.27s/step] Training: 57%|█████▋ | 39936/70000 [14:07:50<10:53:59, 1.31s/step] Training: 57%|█████▋ | 39937/70000 [14:07:51<10:41:09, 1.28s/step] Training: 57%|█████▋ | 39938/70000 [14:07:52<10:47:10, 1.29s/step] Training: 57%|█████▋ | 39939/70000 [14:07:53<10:48:50, 1.30s/step] Training: 57%|█████▋ | 39940/70000 [14:07:55<10:36:38, 1.27s/step] Training: 57%|█████▋ | 39941/70000 [14:07:56<10:24:31, 1.25s/step] Training: 57%|█████▋ | 39942/70000 [14:07:57<10:16:15, 1.23s/step] Training: 57%|█████▋ | 39943/70000 [14:07:58<10:18:00, 1.23s/step] Training: 57%|█████▋ | 39944/70000 [14:08:00<10:22:15, 1.24s/step] Training: 57%|█████▋ | 39945/70000 [14:08:01<10:33:55, 1.27s/step] Training: 57%|█████▋ | 39946/70000 [14:08:02<10:48:07, 1.29s/step] Training: 57%|█████▋ | 39947/70000 [14:08:03<10:31:07, 1.26s/step] Training: 57%|█████▋ | 39948/70000 [14:08:05<10:40:24, 1.28s/step] Training: 57%|█████▋ | 39949/70000 [14:08:06<10:27:03, 1.25s/step] Training: 57%|█████▋ | 39950/70000 [14:08:07<10:17:43, 1.23s/step] Training: 57%|█████▋ | 39951/70000 [14:08:08<10:13:38, 1.23s/step] Training: 57%|█████▋ | 39952/70000 [14:08:10<10:30:27, 1.26s/step] Training: 57%|█████▋ | 39953/70000 [14:08:11<10:41:40, 1.28s/step] Training: 57%|█████▋ | 39954/70000 [14:08:12<10:35:03, 1.27s/step] Training: 57%|█████▋ | 39955/70000 [14:08:13<10:22:06, 1.24s/step] Training: 57%|█████▋ | 39956/70000 [14:08:15<10:36:02, 1.27s/step] Training: 57%|█████▋ | 39957/70000 [14:08:16<10:24:17, 1.25s/step] Training: 57%|█████▋ | 39958/70000 [14:08:17<10:15:01, 1.23s/step] Training: 57%|█████▋ | 39959/70000 [14:08:18<10:09:12, 1.22s/step] Training: 57%|█████▋ | 39960/70000 [14:08:20<10:47:42, 1.29s/step] Training: 57%|█████▋ | 39961/70000 [14:08:21<10:37:52, 1.27s/step] Training: 57%|█████▋ | 39962/70000 [14:08:22<10:25:44, 1.25s/step] Training: 57%|█████▋ | 39963/70000 [14:08:24<10:40:57, 1.28s/step] Training: 57%|█████▋ | 39964/70000 [14:08:25<10:46:59, 1.29s/step] Training: 57%|█████▋ | 39965/70000 [14:08:26<10:31:14, 1.26s/step] Training: 57%|█████▋ | 39966/70000 [14:08:27<10:20:20, 1.24s/step] Training: 57%|█████▋ | 39967/70000 [14:08:29<10:33:20, 1.27s/step] Training: 57%|█████▋ | 39968/70000 [14:08:30<10:49:33, 1.30s/step] Training: 57%|█████▋ | 39969/70000 [14:08:31<10:36:16, 1.27s/step] Training: 57%|█████▋ | 39970/70000 [14:08:32<10:26:07, 1.25s/step] Training: 57%|█████▋ | 39971/70000 [14:08:34<10:38:44, 1.28s/step] Training: 57%|█████▋ | 39972/70000 [14:08:35<10:26:53, 1.25s/step] Training: 57%|█████▋ | 39973/70000 [14:08:36<10:17:32, 1.23s/step] Training: 57%|█████▋ | 39974/70000 [14:08:37<10:11:25, 1.22s/step] Training: 57%|█████▋ | 39975/70000 [14:08:38<10:07:26, 1.21s/step] Training: 57%|█████▋ | 39976/70000 [14:08:40<10:15:18, 1.23s/step] Training: 57%|█████▋ | 39977/70000 [14:08:41<10:31:30, 1.26s/step] Training: 57%|█████▋ | 39978/70000 [14:08:42<10:21:22, 1.24s/step] Training: 57%|█████▋ | 39979/70000 [14:08:44<10:41:02, 1.28s/step] Training: 57%|█████▋ | 39980/70000 [14:08:45<10:46:18, 1.29s/step] Training: 57%|█████▋ | 39981/70000 [14:08:46<10:31:06, 1.26s/step] Training: 57%|█████▋ | 39982/70000 [14:08:47<10:20:17, 1.24s/step] Training: 57%|█████▋ | 39983/70000 [14:08:49<10:21:03, 1.24s/step] Training: 57%|█████▋ | 39984/70000 [14:08:50<10:16:10, 1.23s/step] Training: 57%|█████▋ | 39985/70000 [14:08:51<10:44:05, 1.29s/step] Training: 57%|█████▋ | 39986/70000 [14:08:52<10:29:59, 1.26s/step] Training: 57%|█████▋ | 39987/70000 [14:08:54<10:39:16, 1.28s/step] Training: 57%|█████▋ | 39988/70000 [14:08:55<11:03:16, 1.33s/step] Training: 57%|█████▋ | 39989/70000 [14:08:56<10:42:36, 1.28s/step] Training: 57%|█████▋ | 39990/70000 [14:08:58<10:28:32, 1.26s/step] Training: 57%|█████▋ | 39991/70000 [14:08:59<10:19:55, 1.24s/step] Training: 57%|█████▋ | 39992/70000 [14:09:00<10:52:43, 1.31s/step] Training: 57%|█████▋ | 39993/70000 [14:09:01<10:44:57, 1.29s/step] Training: 57%|█████▋ | 39994/70000 [14:09:03<10:29:20, 1.26s/step] Training: 57%|█████▋ | 39995/70000 [14:09:04<10:25:04, 1.25s/step] Training: 57%|█████▋ | 39996/70000 [14:09:05<10:50:33, 1.30s/step] Training: 57%|█████▋ | 39997/70000 [14:09:06<10:33:49, 1.27s/step] Training: 57%|█████▋ | 39998/70000 [14:09:08<10:22:15, 1.24s/step] Training: 57%|█████▋ | 39999/70000 [14:09:09<10:14:03, 1.23s/step] Training: 57%|█████▋ | 40000/70000 [14:09:10<10:28:57, 1.26s/step]INFO 2026-03-13 10:19:02 ot_train.py:435 step:40K smpl:3M ep:9K epch:33.90 loss:0.013 grdn:1.496 lr:1.0e-05 updt_s:1.242 data_s:0.019 INFO 2026-03-13 10:19:02 ot_train.py:455 Checkpoint policy after step 40000 [Avatar] Pushing checkpoint (step 40000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008... Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...12-2008/model.safetensors: 0%| | 1.40MB / 5.85GB  ...12-2008/model.safetensors: 0%| | 1.40MB / 5.85GB  Processing Files (0 / 1) : 0%| | 1.40MB / 5.85GB, ???B/s ...12-2008/model.safetensors: 0%| | 1.50MB / 5.85GB  Processing Files (0 / 1) : 0%| | 1.50MB / 5.85GB, 486kB/s ...12-2008/model.safetensors: 1%| | 68.6MB / 5.85GB  Processing Files (0 / 1) : 1%| | 68.6MB / 5.85GB, 168MB/s New Data Upload : 50%|████▉ | 66.7MB / 134MB, 166MB/s  ...12-2008/model.safetensors: 1%| | 68.6MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 68.6MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 68.6MB / 5.85GB  ...12-2008/model.safetensors: 2%|▏ | 136MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 136MB / 5.85GB, 112MB/s New Data Upload : 100%|█████████▉| 134MB / 134MB, 111MB/s  ...12-2008/model.safetensors: 2%|▏ | 136MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 136MB / 5.85GB, 96.3MB/s ...12-2008/model.safetensors: 3%|▎ | 203MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 203MB / 5.85GB, 126MB/s New Data Upload : 75%|███████▍ | 201MB / 268MB, 125MB/s  ...12-2008/model.safetensors: 3%|▎ | 203MB / 5.85GB  ...12-2008/model.safetensors: 3%|▎ | 203MB / 5.85GB  ...12-2008/model.safetensors: 5%|▍ | 271MB / 5.85GB  Processing Files (0 / 1) : 5%|▍ | 271MB / 5.85GB, 123MB/s New Data Upload : 100%|█████████▉| 268MB / 268MB, 122MB/s  ...12-2008/model.safetensors: 5%|▍ | 271MB / 5.85GB  Processing Files (0 / 1) : 5%|▍ | 271MB / 5.85GB, 112MB/s ...12-2008/model.safetensors: 6%|▌ | 339MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 339MB / 5.85GB, 130MB/s New Data Upload : 83%|████████▎ | 335MB / 402MB, 129MB/s  ...12-2008/model.safetensors: 6%|▋ | 379MB / 5.85GB  Processing Files (0 / 1) : 6%|▋ | 379MB / 5.85GB, 135MB/s New Data Upload : 93%|█████████▎| 375MB / 402MB, 134MB/s  ...12-2008/model.safetensors: 7%|▋ | 406MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 406MB / 5.85GB, 135MB/s New Data Upload : 86%|████████▌ | 402MB / 469MB, 134MB/s  ...12-2008/model.safetensors: 8%|▊ | 467MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 467MB / 5.85GB, 146MB/s New Data Upload : 99%|█████████▊| 463MB / 469MB, 145MB/s  ...12-2008/model.safetensors: 8%|▊ | 473MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 473MB / 5.85GB, 139MB/s New Data Upload : 87%|████████▋ | 469MB / 536MB, 138MB/s  ...12-2008/model.safetensors: 9%|▉ | 540MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 540MB / 5.85GB, 150MB/s New Data Upload : 89%|████████▉ | 536MB / 603MB, 149MB/s  ...12-2008/model.safetensors: 9%|▉ | 540MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 540MB / 5.85GB, 142MB/s New Data Upload : 89%|████████▉ | 536MB / 603MB, 141MB/s  ...12-2008/model.safetensors: 10%|█ | 607MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 607MB / 5.85GB, 151MB/s New Data Upload : 90%|████████▉ | 602MB / 670MB, 151MB/s  ...12-2008/model.safetensors: 12%|█▏ | 675MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 675MB / 5.85GB, 160MB/s New Data Upload : 100%|█████████▉| 669MB / 670MB, 159MB/s  ...12-2008/model.safetensors: 12%|█▏ | 675MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 675MB / 5.85GB, 153MB/s New Data Upload : 91%|█████████ | 670MB / 738MB, 152MB/s  ...12-2008/model.safetensors: 13%|█▎ | 742MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 742MB / 5.85GB, 161MB/s New Data Upload : 92%|█████████▏| 736MB / 805MB, 160MB/s  ...12-2008/model.safetensors: 13%|█▎ | 742MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 742MB / 5.85GB, 154MB/s New Data Upload : 92%|█████████▏| 737MB / 805MB, 153MB/s  ...12-2008/model.safetensors: 14%|█▍ | 809MB / 5.85GB  Processing Files (0 / 1) : 14%|█▍ | 809MB / 5.85GB, 162MB/s New Data Upload : 92%|█████████▏| 804MB / 872MB, 161MB/s  ...12-2008/model.safetensors: 15%|█▍ | 850MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 850MB / 5.85GB, 163MB/s New Data Upload : 97%|█████████▋| 844MB / 872MB, 162MB/s  ...12-2008/model.safetensors: 15%|█▍ | 876MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 876MB / 5.85GB, 162MB/s New Data Upload : 93%|█████████▎| 870MB / 939MB, 161MB/s  ...12-2008/model.safetensors: 16%|█▌ | 943MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 943MB / 5.85GB, 168MB/s New Data Upload : 100%|█████████▉| 937MB / 939MB, 167MB/s  ...12-2008/model.safetensors: 16%|█▌ | 944MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 944MB / 5.85GB, 163MB/s New Data Upload : 93%|█████████▎| 938MB / 1.01GB, 162MB/s  ...12-2008/model.safetensors: 17%|█▋ | 1.01GB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 1.01GB / 5.85GB, 169MB/s New Data Upload : 94%|█████████▎| 1.00GB / 1.07GB, 167MB/s  ...12-2008/model.safetensors: 17%|█▋ | 1.01GB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 1.01GB / 5.85GB, 163MB/s New Data Upload : 94%|█████████▎| 1.01GB / 1.07GB, 162MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.08GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.08GB / 5.85GB, 169MB/s New Data Upload : 94%|█████████▍| 1.07GB / 1.14GB, 168MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.14GB / 5.85GB  Processing Files (0 / 1) : 20%|█▉ | 1.14GB / 5.85GB, 173MB/s New Data Upload : 100%|█████████▉| 1.13GB / 1.14GB, 172MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.15GB / 5.85GB  Processing Files (0 / 1) : 20%|█▉ | 1.15GB / 5.85GB, 169MB/s New Data Upload : 94%|█████████▍| 1.14GB / 1.21GB, 168MB/s  ...12-2008/model.safetensors: 21%|██ | 1.21GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.21GB / 5.85GB, 173MB/s New Data Upload : 95%|█████████▍| 1.21GB / 1.27GB, 172MB/s  ...12-2008/model.safetensors: 21%|██ | 1.21GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.21GB / 5.85GB, 169MB/s New Data Upload : 95%|█████████▍| 1.21GB / 1.27GB, 168MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.28GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.28GB / 5.85GB, 173MB/s New Data Upload : 95%|█████████▍| 1.27GB / 1.34GB, 172MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.31GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.31GB / 5.85GB, 172MB/s New Data Upload : 97%|█████████▋| 1.30GB / 1.34GB, 172MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.35GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.35GB / 5.85GB, 173MB/s New Data Upload : 95%|█████████▌| 1.34GB / 1.41GB, 172MB/s  ...12-2008/model.safetensors: 24%|██▍ | 1.42GB / 5.85GB  Processing Files (0 / 1) : 24%|██▍ | 1.42GB / 5.85GB, 177MB/s New Data Upload : 100%|█████████▉| 1.41GB / 1.41GB, 176MB/s  ...12-2008/model.safetensors: 24%|██▍ | 1.42GB / 5.85GB  ...12-2008/model.safetensors: 25%|██▌ | 1.48GB / 5.85GB  Processing Files (0 / 1) : 25%|██▌ | 1.48GB / 5.85GB, 176MB/s New Data Upload : 96%|█████████▌| 1.47GB / 1.54GB, 176MB/s  ...12-2008/model.safetensors: 25%|██▌ | 1.48GB / 5.85GB  ...12-2008/model.safetensors: 27%|██▋ | 1.55GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.55GB / 5.85GB, 176MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 175MB/s  ...12-2008/model.safetensors: 27%|██▋ | 1.60GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.60GB / 5.85GB, 178MB/s New Data Upload : 99%|█████████▉| 1.59GB / 1.61GB, 177MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.62GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.62GB / 5.85GB, 176MB/s New Data Upload : 96%|█████████▌| 1.61GB / 1.68GB, 175MB/s  ...12-2008/model.safetensors: 29%|██▉ | 1.68GB / 5.85GB  Processing Files (0 / 1) : 29%|██▉ | 1.68GB / 5.85GB, 179MB/s New Data Upload : 100%|█████████▉| 1.68GB / 1.68GB, 178MB/s  ...12-2008/model.safetensors: 29%|██▉ | 1.68GB / 5.85GB  Processing Files (0 / 1) : 29%|██▉ | 1.68GB / 5.85GB, 175MB/s New Data Upload : 96%|█████████▌| 1.68GB / 1.74GB, 175MB/s  ...12-2008/model.safetensors: 30%|██▉ | 1.75GB / 5.85GB  Processing Files (0 / 1) : 30%|██▉ | 1.75GB / 5.85GB, 179MB/s New Data Upload : 96%|█████████▋| 1.74GB / 1.81GB, 178MB/s  ...12-2008/model.safetensors: 30%|██▉ | 1.75GB / 5.85GB  Processing Files (0 / 1) : 30%|██▉ | 1.75GB / 5.85GB, 175MB/s New Data Upload : 96%|█████████▋| 1.74GB / 1.81GB, 174MB/s  ...12-2008/model.safetensors: 31%|███ | 1.82GB / 5.85GB  Processing Files (0 / 1) : 31%|███ | 1.82GB / 5.85GB, 178MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 177MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.85GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.85GB / 5.85GB, 181MB/s New Data Upload : 98%|█████████▊| 1.84GB / 1.88GB, 180MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.88GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.88GB / 5.85GB, 178MB/s New Data Upload : 96%|█████████▋| 1.88GB / 1.94GB, 177MB/s  ...12-2008/model.safetensors: 33%|███▎ | 1.95GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.95GB / 5.85GB, 185MB/s New Data Upload : 100%|█████████▉| 1.94GB / 1.94GB, 184MB/s  ...12-2008/model.safetensors: 33%|███▎ | 1.95GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.95GB / 5.85GB, 185MB/s New Data Upload : 97%|█████████▋| 1.94GB / 2.01GB, 184MB/s  ...12-2008/model.safetensors: 35%|███▍ | 2.02GB / 5.85GB  Processing Files (0 / 1) : 35%|███▍ | 2.02GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.01GB / 2.08GB, 191MB/s  ...12-2008/model.safetensors: 35%|███▍ | 2.02GB / 5.85GB  Processing Files (0 / 1) : 35%|███▍ | 2.02GB / 5.85GB, 185MB/s New Data Upload : 97%|█████████▋| 2.01GB / 2.08GB, 184MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.09GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.09GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 191MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.12GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.12GB / 5.85GB, 188MB/s New Data Upload : 98%|█████████▊| 2.11GB / 2.15GB, 187MB/s  ...12-2008/model.safetensors: 37%|███▋ | 2.15GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.15GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.15GB / 2.21GB, 191MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.22GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.22GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 2.21GB / 2.21GB, 197MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.22GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.22GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.21GB / 2.28GB, 191MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.29GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.29GB / 5.85GB, 198MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 197MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.29GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.29GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 191MB/s  ...12-2008/model.safetensors: 40%|████ | 2.35GB / 5.85GB  Processing Files (0 / 1) : 40%|████ | 2.35GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.35GB / 2.41GB, 193MB/s  ...12-2008/model.safetensors: 41%|████▏ | 2.42GB / 5.85GB  Processing Files (0 / 1) : 41%|████▏ | 2.42GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.41GB / 2.41GB, 197MB/s  ...12-2008/model.safetensors: 41%|████▏ | 2.42GB / 5.85GB  Processing Files (0 / 1) : 41%|████▏ | 2.42GB / 5.85GB, 192MB/s New Data Upload : 97%|█████████▋| 2.41GB / 2.48GB, 191MB/s  ...12-2008/model.safetensors: 43%|████▎ | 2.49GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.49GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 2.48GB / 2.48GB, 197MB/s  ...12-2008/model.safetensors: 43%|████▎ | 2.49GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.49GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.48GB / 2.55GB, 191MB/s  ...12-2008/model.safetensors: 44%|████▎ | 2.55GB / 5.85GB  Processing Files (0 / 1) : 44%|████▎ | 2.55GB / 5.85GB, 198MB/s New Data Upload : 97%|█████████▋| 2.55GB / 2.62GB, 197MB/s  ...12-2008/model.safetensors: 44%|████▍ | 2.58GB / 5.85GB  Processing Files (0 / 1) : 44%|████▍ | 2.58GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 2.57GB / 2.62GB, 193MB/s  ...12-2008/model.safetensors: 45%|████▍ | 2.62GB / 5.85GB  Processing Files (0 / 1) : 45%|████▍ | 2.62GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.61GB / 2.68GB, 191MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.69GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.69GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.68GB / 2.68GB, 197MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.69GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.69GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.68GB / 2.75GB, 191MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.76GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.76GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 2.75GB / 2.82GB, 197MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.76GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.76GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.75GB / 2.82GB, 191MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.82GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.82GB / 5.85GB, 194MB/s New Data Upload : 98%|█████████▊| 2.82GB / 2.88GB, 193MB/s  ...12-2008/model.safetensors: 49%|████▉ | 2.87GB / 5.85GB  Processing Files (0 / 1) : 49%|████▉ | 2.87GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 2.86GB / 2.88GB, 195MB/s  ...12-2008/model.safetensors: 49%|████▉ | 2.89GB / 5.85GB  Processing Files (0 / 1) : 49%|████▉ | 2.89GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.88GB / 2.95GB, 191MB/s  ...12-2008/model.safetensors: 51%|█████ | 2.96GB / 5.85GB  Processing Files (0 / 1) : 51%|█████ | 2.96GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.95GB / 2.95GB, 197MB/s  ...12-2008/model.safetensors: 51%|█████ | 2.96GB / 5.85GB  Processing Files (0 / 1) : 51%|█████ | 2.96GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.95GB / 3.02GB, 191MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.02GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.02GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.02GB / 3.08GB, 197MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.03GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.03GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.02GB / 3.08GB, 191MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.09GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.09GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.08GB / 3.15GB, 191MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.16GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▍ | 3.16GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.15GB / 3.15GB, 197MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.16GB / 5.85GB  ...12-2008/model.safetensors: 55%|█████▌ | 3.22GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.22GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.22GB / 3.29GB, 197MB/s  ...12-2008/model.safetensors: 55%|█████▌ | 3.23GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.23GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.22GB / 3.29GB, 191MB/s  ...12-2008/model.safetensors: 56%|█████▋ | 3.29GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▋ | 3.29GB / 5.85GB, 194MB/s New Data Upload : 98%|█████████▊| 3.28GB / 3.35GB, 194MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.31GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.31GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▊| 3.31GB / 3.35GB, 193MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.36GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.36GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.35GB / 3.42GB, 191MB/s  ...12-2008/model.safetensors: 59%|█████▊ | 3.43GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▊ | 3.43GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.42GB / 3.42GB, 197MB/s  ...12-2008/model.safetensors: 59%|█████▊ | 3.43GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▊ | 3.43GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.42GB / 3.49GB, 191MB/s  ...12-2008/model.safetensors: 60%|█████▉ | 3.49GB / 5.85GB  Processing Files (0 / 1) : 60%|█████▉ | 3.49GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.49GB / 3.55GB, 197MB/s  ...12-2008/model.safetensors: 60%|█████▉ | 3.49GB / 5.85GB  Processing Files (0 / 1) : 60%|█████▉ | 3.49GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.49GB / 3.55GB, 191MB/s  ...12-2008/model.safetensors: 61%|██████ | 3.56GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.56GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 3.55GB / 3.62GB, 192MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.63GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.63GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.62GB / 3.62GB, 197MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.63GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.63GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.62GB / 3.69GB, 191MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.70GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.70GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.69GB / 3.76GB, 197MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.70GB / 5.85GB  ...12-2008/model.safetensors: 64%|██████▍ | 3.76GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▍ | 3.76GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.75GB / 3.82GB, 197MB/s  ...12-2008/model.safetensors: 65%|██████▌ | 3.83GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▌ | 3.83GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.82GB / 3.82GB, 197MB/s  ...12-2008/model.safetensors: 65%|██████▌ | 3.83GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▌ | 3.83GB / 5.85GB, 194MB/s New Data Upload : 98%|█████████▊| 3.82GB / 3.89GB, 194MB/s  ...12-2008/model.safetensors: 67%|██████▋ | 3.90GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.90GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.89GB / 3.89GB, 197MB/s  ...12-2008/model.safetensors: 67%|██████▋ | 3.90GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.90GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.89GB / 3.96GB, 191MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.96GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.96GB / 4.02GB, 197MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.98GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.98GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 3.97GB / 4.02GB, 193MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.03GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.03GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 197MB/s  ...12-2008/model.safetensors: 70%|███████ | 4.10GB / 5.85GB  Processing Files (0 / 1) : 70%|███████ | 4.10GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.09GB / 4.09GB, 197MB/s  ...12-2008/model.safetensors: 70%|███████ | 4.10GB / 5.85GB  ...12-2008/model.safetensors: 71%|███████ | 4.17GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.17GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.22GB, 197MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.17GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.17GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.22GB, 191MB/s  ...12-2008/model.safetensors: 72%|███████▏ | 4.23GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.23GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.22GB / 4.29GB, 197MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.30GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.30GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.29GB / 4.29GB, 197MB/s  ...12-2008/model.safetensors: 74%|███████▎ | 4.30GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▎ | 4.30GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 197MB/s  ...12-2008/model.safetensors: 75%|███████▍ | 4.37GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▍ | 4.37GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.36GB / 4.36GB, 197MB/s  ...12-2008/model.safetensors: 75%|███████▍ | 4.37GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▍ | 4.37GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.36GB / 4.43GB, 191MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.43GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.43GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.43GB / 4.49GB, 197MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.45GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.45GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▉| 4.44GB / 4.49GB, 192MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.50GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.50GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.49GB / 4.56GB, 197MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.57GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.57GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.56GB / 4.56GB, 197MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.57GB / 5.85GB  ...12-2008/model.safetensors: 79%|███████▉ | 4.63GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▉ | 4.63GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.63GB / 4.69GB, 197MB/s  ...12-2008/model.safetensors: 79%|███████▉ | 4.63GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▉ | 4.63GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.63GB / 4.69GB, 191MB/s  ...12-2008/model.safetensors: 80%|████████ | 4.70GB / 5.85GB  Processing Files (0 / 1) : 80%|████████ | 4.70GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 197MB/s  ...12-2008/model.safetensors: 82%|████████▏ | 4.77GB / 5.85GB  Processing Files (0 / 1) : 82%|████████▏ | 4.77GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.76GB / 4.76GB, 197MB/s  ...12-2008/model.safetensors: 82%|████████▏ | 4.77GB / 5.85GB  Processing Files (0 / 1) : 82%|████████▏ | 4.77GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.76GB / 4.83GB, 197MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.84GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.84GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.83GB / 4.89GB, 197MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.84GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.84GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▊| 4.83GB / 4.89GB, 193MB/s  ...12-2008/model.safetensors: 84%|████████▍ | 4.90GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▍ | 4.90GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.89GB / 4.96GB, 197MB/s  ...12-2008/model.safetensors: 84%|████████▍ | 4.93GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▍ | 4.93GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 4.92GB / 4.96GB, 194MB/s  ...12-2008/model.safetensors: 85%|████████▍ | 4.97GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▍ | 4.97GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.96GB / 5.03GB, 197MB/s  ...12-2008/model.safetensors: 86%|████████▌ | 5.04GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▌ | 5.04GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.03GB / 5.03GB, 197MB/s  ...12-2008/model.safetensors: 86%|████████▌ | 5.04GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▌ | 5.04GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.03GB / 5.10GB, 197MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.10GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 197MB/s  ...12-2008/model.safetensors: 88%|████████▊ | 5.13GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.13GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 5.12GB / 5.16GB, 193MB/s  ...12-2008/model.safetensors: 88%|████████▊ | 5.17GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.17GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.16GB / 5.23GB, 197MB/s  ...12-2008/model.safetensors: 90%|████████▉ | 5.24GB / 5.85GB  Processing Files (0 / 1) : 90%|████████▉ | 5.24GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.23GB / 5.23GB, 197MB/s  ...12-2008/model.safetensors: 90%|████████▉ | 5.24GB / 5.85GB  Processing Files (0 / 1) : 90%|████████▉ | 5.24GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.23GB / 5.30GB, 197MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.30GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.30GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.30GB / 5.36GB, 197MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.30GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.30GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▊| 5.30GB / 5.36GB, 195MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.37GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.37GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.36GB / 5.43GB, 197MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.44GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.44GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.43GB / 5.43GB, 197MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.44GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.44GB / 5.85GB, 197MB/s ...12-2008/model.safetensors: 94%|█████████▍| 5.51GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.51GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.50GB / 5.57GB, 197MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.51GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.51GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.50GB / 5.57GB, 197MB/s  ...12-2008/model.safetensors: 95%|█████████▌| 5.57GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▌| 5.57GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.56GB / 5.63GB, 197MB/s  ...12-2008/model.safetensors: 95%|█████████▌| 5.57GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▌| 5.57GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.56GB / 5.63GB, 191MB/s  ...12-2008/model.safetensors: 96%|█████████▋| 5.64GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▋| 5.64GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.63GB / 5.70GB, 197MB/s  ...12-2008/model.safetensors: 98%|█████████▊| 5.71GB / 5.85GB  Processing Files (0 / 1) : 98%|█████████▊| 5.71GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.70GB / 5.70GB, 197MB/s  ...12-2008/model.safetensors: 98%|█████████▊| 5.71GB / 5.85GB  ...12-2008/model.safetensors: 99%|█████████▊| 5.77GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▊| 5.77GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▉| 5.77GB / 5.83GB, 197MB/s  ...12-2008/model.safetensors: 99%|█████████▊| 5.77GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▊| 5.77GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.77GB / 5.83GB, 191MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 5.84GB / 5.84GB, 198MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.84GB / 5.84GB, 191MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.84GB / 5.84GB, 191MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 183MB/s New Data Upload : 100%|██████████| 5.84GB / 5.84GB, 183MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 168MB/s New Data Upload : 100%|██████████| 5.84GB / 5.84GB, 168MB/s ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB INFO 2026-03-13 10:19:58 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 10:19:59 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 10:19:59 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. [Avatar] Pushed checkpoint (step 40000) OK [Avatar] Tagged as 'step-40000' Training: 57%|█████▋ | 40001/70000 [14:10:09<155:34:24, 18.67s/step] Training: 57%|█████▋ | 40002/70000 [14:10:11<111:52:48, 13.43s/step] Training: 57%|█████▋ | 40003/70000 [14:10:12<81:20:46, 9.76s/step] Training: 57%|█████▋ | 40004/70000 [14:10:13<60:04:56, 7.21s/step] Training: 57%|█████▋ | 40005/70000 [14:10:14<45:00:32, 5.40s/step] Training: 57%|█████▋ | 40006/70000 [14:10:16<34:27:32, 4.14s/step] Training: 57%|█████▋ | 40007/70000 [14:10:17<27:09:32, 3.26s/step] Training: 57%|█████▋ | 40008/70000 [14:10:18<22:05:17, 2.65s/step] Training: 57%|█████▋ | 40009/70000 [14:10:19<18:48:00, 2.26s/step] Training: 57%|█████▋ | 40010/70000 [14:10:20<16:06:51, 1.93s/step] Training: 57%|█████▋ | 40011/70000 [14:10:22<14:33:53, 1.75s/step] Training: 57%|█████▋ | 40012/70000 [14:10:23<13:30:09, 1.62s/step] Training: 57%|█████▋ | 40013/70000 [14:10:24<12:24:42, 1.49s/step] Training: 57%|█████▋ | 40014/70000 [14:10:25<11:38:59, 1.40s/step] Training: 57%|█████▋ | 40015/70000 [14:10:27<11:12:42, 1.35s/step] Training: 57%|█████▋ | 40016/70000 [14:10:28<10:50:42, 1.30s/step] Training: 57%|█████▋ | 40017/70000 [14:10:29<10:54:32, 1.31s/step] Training: 57%|█████▋ | 40018/70000 [14:10:30<10:36:38, 1.27s/step] Training: 57%|█████▋ | 40019/70000 [14:10:32<10:44:46, 1.29s/step] Training: 57%|█████▋ | 40020/70000 [14:10:33<10:50:09, 1.30s/step] Training: 57%|█████▋ | 40021/70000 [14:10:34<10:57:01, 1.31s/step] Training: 57%|█████▋ | 40022/70000 [14:10:36<10:37:18, 1.28s/step] Training: 57%|█████▋ | 40023/70000 [14:10:37<10:23:51, 1.25s/step] Training: 57%|█████▋ | 40024/70000 [14:10:38<10:55:51, 1.31s/step] Training: 57%|█████▋ | 40025/70000 [14:10:40<11:05:48, 1.33s/step] Training: 57%|█████▋ | 40026/70000 [14:10:41<10:43:51, 1.29s/step] Training: 57%|█████▋ | 40027/70000 [14:10:42<10:33:33, 1.27s/step] Training: 57%|█████▋ | 40028/70000 [14:10:43<10:41:13, 1.28s/step] Training: 57%|█████▋ | 40029/70000 [14:10:45<10:43:57, 1.29s/step] Training: 57%|█████▋ | 40030/70000 [14:10:46<10:27:34, 1.26s/step] Training: 57%|█████▋ | 40031/70000 [14:10:47<10:37:33, 1.28s/step] Training: 57%|█████▋ | 40032/70000 [14:10:49<10:46:38, 1.29s/step] Training: 57%|█████▋ | 40033/70000 [14:10:50<10:34:31, 1.27s/step] Training: 57%|█████▋ | 40034/70000 [14:10:51<10:22:39, 1.25s/step] Training: 57%|█████▋ | 40035/70000 [14:10:52<10:16:35, 1.23s/step] Training: 57%|█████▋ | 40036/70000 [14:10:53<10:14:33, 1.23s/step] Training: 57%|█████▋ | 40037/70000 [14:10:55<10:08:22, 1.22s/step] Training: 57%|█████▋ | 40038/70000 [14:10:56<10:28:42, 1.26s/step] Training: 57%|█████▋ | 40039/70000 [14:10:57<10:17:52, 1.24s/step] Training: 57%|█████▋ | 40040/70000 [14:10:58<10:17:30, 1.24s/step] Training: 57%|█████▋ | 40041/70000 [14:11:00<10:32:09, 1.27s/step] Training: 57%|█████▋ | 40042/70000 [14:11:01<10:21:20, 1.24s/step] Training: 57%|█████▋ | 40043/70000 [14:11:02<10:34:16, 1.27s/step] Training: 57%|█████▋ | 40044/70000 [14:11:03<10:42:02, 1.29s/step] Training: 57%|█████▋ | 40045/70000 [14:11:05<10:53:34, 1.31s/step] Training: 57%|█████▋ | 40046/70000 [14:11:06<10:34:23, 1.27s/step] Training: 57%|█████▋ | 40047/70000 [14:11:07<10:28:44, 1.26s/step] Training: 57%|█████▋ | 40048/70000 [14:11:08<10:21:24, 1.24s/step] Training: 57%|█████▋ | 40049/70000 [14:11:10<10:35:54, 1.27s/step] Training: 57%|█████▋ | 40050/70000 [14:11:11<10:23:10, 1.25s/step] Training: 57%|█████▋ | 40051/70000 [14:11:12<10:34:58, 1.27s/step] Training: 57%|█████▋ | 40052/70000 [14:11:14<10:43:03, 1.29s/step] Training: 57%|█████▋ | 40053/70000 [14:11:15<10:28:27, 1.26s/step] Training: 57%|█████▋ | 40054/70000 [14:11:16<10:41:31, 1.29s/step] Training: 57%|█████▋ | 40055/70000 [14:11:17<10:25:45, 1.25s/step] Training: 57%|█████▋ | 40056/70000 [14:11:19<10:59:27, 1.32s/step] Training: 57%|█████▋ | 40057/70000 [14:11:20<11:07:20, 1.34s/step] Training: 57%|█████▋ | 40058/70000 [14:11:21<10:44:52, 1.29s/step] Training: 57%|█████▋ | 40059/70000 [14:11:23<10:35:47, 1.27s/step] Training: 57%|█████▋ | 40060/70000 [14:11:24<10:45:11, 1.29s/step] Training: 57%|█████▋ | 40061/70000 [14:11:25<10:29:38, 1.26s/step] Training: 57%|█████▋ | 40062/70000 [14:11:27<10:41:52, 1.29s/step] Training: 57%|█████▋ | 40063/70000 [14:11:28<10:26:21, 1.26s/step] Training: 57%|█████▋ | 40064/70000 [14:11:29<10:37:48, 1.28s/step] Training: 57%|█████▋ | 40065/70000 [14:11:30<10:28:02, 1.26s/step] Training: 57%|█████▋ | 40066/70000 [14:11:31<10:18:44, 1.24s/step] Training: 57%|█████▋ | 40067/70000 [14:11:33<10:13:23, 1.23s/step] Training: 57%|█████▋ | 40068/70000 [14:11:34<10:11:36, 1.23s/step] Training: 57%|█████▋ | 40069/70000 [14:11:35<10:05:53, 1.21s/step] Training: 57%|█████▋ | 40070/70000 [14:11:36<10:02:06, 1.21s/step] Training: 57%|█████▋ | 40071/70000 [14:11:37<10:04:55, 1.21s/step] Training: 57%|█████▋ | 40072/70000 [14:11:39<10:08:43, 1.22s/step] Training: 57%|█████▋ | 40073/70000 [14:11:40<10:25:20, 1.25s/step] Training: 57%|█████▋ | 40074/70000 [14:11:41<10:16:11, 1.24s/step] Training: 57%|█████▋ | 40075/70000 [14:11:43<10:31:12, 1.27s/step] Training: 57%|█████▋ | 40076/70000 [14:11:44<10:41:28, 1.29s/step] Training: 57%|█████▋ | 40077/70000 [14:11:45<10:27:21, 1.26s/step] Training: 57%|█████▋ | 40078/70000 [14:11:46<10:26:25, 1.26s/step] Training: 57%|█████▋ | 40079/70000 [14:11:48<10:18:51, 1.24s/step] Training: 57%|█████▋ | 40080/70000 [14:11:49<10:14:32, 1.23s/step] Training: 57%|█████▋ | 40081/70000 [14:11:50<10:31:14, 1.27s/step] Training: 57%|█████▋ | 40082/70000 [14:11:51<10:22:00, 1.25s/step] Training: 57%|█████▋ | 40083/70000 [14:11:53<10:34:02, 1.27s/step] Training: 57%|█████▋ | 40084/70000 [14:11:54<10:43:16, 1.29s/step] Training: 57%|█████▋ | 40085/70000 [14:11:55<10:28:01, 1.26s/step] Training: 57%|█████▋ | 40086/70000 [14:11:56<10:24:38, 1.25s/step] Training: 57%|█████▋ | 40087/70000 [14:11:58<10:34:27, 1.27s/step] Training: 57%|█████▋ | 40088/70000 [14:11:59<10:43:31, 1.29s/step] Training: 57%|█████▋ | 40089/70000 [14:12:00<10:37:09, 1.28s/step] Training: 57%|█████▋ | 40090/70000 [14:12:02<10:23:56, 1.25s/step] Training: 57%|█████▋ | 40091/70000 [14:12:03<10:20:23, 1.24s/step] Training: 57%|█████▋ | 40092/70000 [14:12:04<10:18:13, 1.24s/step] Training: 57%|█████▋ | 40093/70000 [14:12:05<10:11:21, 1.23s/step] Training: 57%|█████▋ | 40094/70000 [14:12:06<10:05:45, 1.22s/step] Training: 57%|█████▋ | 40095/70000 [14:12:08<10:41:42, 1.29s/step] Training: 57%|█████▋ | 40096/70000 [14:12:09<10:48:08, 1.30s/step] Training: 57%|█████▋ | 40097/70000 [14:12:10<10:34:57, 1.27s/step] Training: 57%|█████▋ | 40098/70000 [14:12:12<10:23:08, 1.25s/step] Training: 57%|█████▋ | 40099/70000 [14:12:13<10:17:50, 1.24s/step] Training: 57%|█████▋ | 40100/70000 [14:12:14<10:11:23, 1.23s/step]INFO 2026-03-13 10:22:06 ot_train.py:435 step:40K smpl:3M ep:9K epch:33.99 loss:0.013 grdn:1.803 lr:1.0e-05 updt_s:1.236 data_s:0.019 Training: 57%|█████▋ | 40101/70000 [14:12:15<10:24:03, 1.25s/step] Training: 57%|█████▋ | 40102/70000 [14:12:16<10:14:59, 1.23s/step] Training: 57%|█████▋ | 40103/70000 [14:12:18<10:23:07, 1.25s/step] Training: 57%|█████▋ | 40104/70000 [14:12:19<10:18:44, 1.24s/step] Training: 57%|█████▋ | 40105/70000 [14:12:20<10:33:25, 1.27s/step] Training: 57%|█████▋ | 40106/70000 [14:12:21<10:21:47, 1.25s/step] Training: 57%|█████▋ | 40107/70000 [14:12:23<10:34:08, 1.27s/step] Training: 57%|█████▋ | 40108/70000 [14:12:24<10:21:50, 1.25s/step] Training: 57%|█████▋ | 40109/70000 [14:12:25<10:12:42, 1.23s/step] Training: 57%|█████▋ | 40110/70000 [14:12:26<10:07:13, 1.22s/step] Training: 57%|█████▋ | 40111/70000 [14:12:28<10:27:07, 1.26s/step] Training: 57%|█████▋ | 40112/70000 [14:12:29<10:20:12, 1.25s/step] Training: 57%|█████▋ | 40113/70000 [14:12:30<10:32:46, 1.27s/step] Training: 57%|█████▋ | 40114/70000 [14:12:31<10:21:09, 1.25s/step] Training: 57%|█████▋ | 40115/70000 [14:12:33<10:33:34, 1.27s/step] Training: 57%|█████▋ | 40116/70000 [14:12:34<10:24:16, 1.25s/step] Training: 57%|█████▋ | 40117/70000 [14:12:35<10:14:12, 1.23s/step] Training: 57%|█████▋ | 40118/70000 [14:12:36<10:06:51, 1.22s/step] Training: 57%|█████▋ | 40119/70000 [14:12:38<10:29:27, 1.26s/step] Training: 57%|█████▋ | 40120/70000 [14:12:40<13:15:57, 1.60s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 57%|█████▋ | 40121/70000 [14:12:44<19:16:19, 2.32s/step] Training: 57%|█████▋ | 40122/70000 [14:12:45<16:29:26, 1.99s/step] Training: 57%|█████▋ | 40123/70000 [14:12:47<14:41:26, 1.77s/step] Training: 57%|█████▋ | 40124/70000 [14:12:48<13:28:07, 1.62s/step] Training: 57%|█████▋ | 40125/70000 [14:12:49<12:23:15, 1.49s/step] Training: 57%|█████▋ | 40126/70000 [14:12:50<11:37:36, 1.40s/step] Training: 57%|█████▋ | 40127/70000 [14:12:51<11:09:22, 1.34s/step] Training: 57%|█████▋ | 40128/70000 [14:12:53<11:23:24, 1.37s/step] Training: 57%|█████▋ | 40129/70000 [14:12:54<11:00:42, 1.33s/step] Training: 57%|█████▋ | 40130/70000 [14:12:55<10:40:46, 1.29s/step] Training: 57%|█████▋ | 40131/70000 [14:12:57<10:29:11, 1.26s/step] Training: 57%|█████▋ | 40132/70000 [14:12:58<10:17:57, 1.24s/step] Training: 57%|█████▋ | 40133/70000 [14:12:59<10:30:07, 1.27s/step] Training: 57%|█████▋ | 40134/70000 [14:13:00<10:19:54, 1.25s/step] Training: 57%|█████▋ | 40135/70000 [14:13:01<10:13:38, 1.23s/step] Training: 57%|█████▋ | 40136/70000 [14:13:03<10:28:24, 1.26s/step] Training: 57%|█████▋ | 40137/70000 [14:13:04<10:42:33, 1.29s/step] Training: 57%|█████▋ | 40138/70000 [14:13:05<10:27:12, 1.26s/step] Training: 57%|█████▋ | 40139/70000 [14:13:07<10:38:13, 1.28s/step] Training: 57%|█████▋ | 40140/70000 [14:13:08<10:45:00, 1.30s/step] Training: 57%|█████▋ | 40141/70000 [14:13:09<10:29:00, 1.26s/step] Training: 57%|█████▋ | 40142/70000 [14:13:10<10:17:33, 1.24s/step] Training: 57%|█████▋ | 40143/70000 [14:13:12<10:15:24, 1.24s/step] Training: 57%|█████▋ | 40144/70000 [14:13:13<10:17:17, 1.24s/step] Training: 57%|█████▋ | 40145/70000 [14:13:14<10:31:03, 1.27s/step] Training: 57%|█████▋ | 40146/70000 [14:13:15<10:19:26, 1.24s/step] Training: 57%|█████▋ | 40147/70000 [14:13:17<10:31:06, 1.27s/step] Training: 57%|█████▋ | 40148/70000 [14:13:18<10:21:11, 1.25s/step] Training: 57%|█████▋ | 40149/70000 [14:13:19<10:12:11, 1.23s/step] Training: 57%|█████▋ | 40150/70000 [14:13:20<10:06:19, 1.22s/step] Training: 57%|█████▋ | 40151/70000 [14:13:21<10:04:52, 1.22s/step] Training: 57%|█████▋ | 40152/70000 [14:13:23<10:38:44, 1.28s/step] Training: 57%|█████▋ | 40153/70000 [14:13:24<10:52:30, 1.31s/step] Training: 57%|█████▋ | 40154/70000 [14:13:26<10:34:23, 1.28s/step] Training: 57%|█████▋ | 40155/70000 [14:13:27<10:26:28, 1.26s/step] Training: 57%|█████▋ | 40156/70000 [14:13:28<10:36:45, 1.28s/step] Training: 57%|█████▋ | 40157/70000 [14:13:29<10:22:51, 1.25s/step] Training: 57%|█████▋ | 40158/70000 [14:13:30<10:14:46, 1.24s/step] Training: 57%|█████▋ | 40159/70000 [14:13:32<10:06:48, 1.22s/step] Training: 57%|█████▋ | 40160/70000 [14:13:33<10:24:15, 1.26s/step] Training: 57%|█████▋ | 40161/70000 [14:13:34<10:38:29, 1.28s/step] Training: 57%|█████▋ | 40162/70000 [14:13:35<10:23:08, 1.25s/step] Training: 57%|█████▋ | 40163/70000 [14:13:37<10:16:16, 1.24s/step] Training: 57%|█████▋ | 40164/70000 [14:13:38<10:11:11, 1.23s/step] Training: 57%|█████▋ | 40165/70000 [14:13:39<10:06:34, 1.22s/step] Training: 57%|█████▋ | 40166/70000 [14:13:40<10:01:14, 1.21s/step] Training: 57%|█████▋ | 40167/70000 [14:13:42<10:04:09, 1.22s/step] Training: 57%|█████▋ | 40168/70000 [14:13:43<10:21:39, 1.25s/step] Training: 57%|█████▋ | 40169/70000 [14:13:44<10:45:08, 1.30s/step] Training: 57%|█████▋ | 40170/70000 [14:13:45<10:29:26, 1.27s/step] Training: 57%|█████▋ | 40171/70000 [14:13:47<10:39:02, 1.29s/step] Training: 57%|█████▋ | 40172/70000 [14:13:48<10:45:43, 1.30s/step] Training: 57%|█████▋ | 40173/70000 [14:13:49<10:29:25, 1.27s/step] Training: 57%|█████▋ | 40174/70000 [14:13:50<10:17:55, 1.24s/step] Training: 57%|█████▋ | 40175/70000 [14:13:52<10:13:55, 1.24s/step] Training: 57%|█████▋ | 40176/70000 [14:13:53<10:12:22, 1.23s/step] Training: 57%|█████▋ | 40177/70000 [14:13:54<10:28:31, 1.26s/step] Training: 57%|█████▋ | 40178/70000 [14:13:56<10:40:23, 1.29s/step] Training: 57%|█████▋ | 40179/70000 [14:13:57<10:43:52, 1.30s/step] Training: 57%|█████▋ | 40180/70000 [14:13:58<10:47:45, 1.30s/step] Training: 57%|█████▋ | 40181/70000 [14:13:59<10:30:47, 1.27s/step] Training: 57%|█████▋ | 40182/70000 [14:14:01<10:19:18, 1.25s/step] Training: 57%|█████▋ | 40183/70000 [14:14:02<10:33:04, 1.27s/step] Training: 57%|█████▋ | 40184/70000 [14:14:03<10:41:02, 1.29s/step] Training: 57%|█████▋ | 40185/70000 [14:14:05<10:57:12, 1.32s/step] Training: 57%|█████▋ | 40186/70000 [14:14:06<10:36:44, 1.28s/step] Training: 57%|█████▋ | 40187/70000 [14:14:07<10:29:06, 1.27s/step] Training: 57%|█████▋ | 40188/70000 [14:14:08<10:17:18, 1.24s/step] Training: 57%|█████▋ | 40189/70000 [14:14:10<10:30:44, 1.27s/step] Training: 57%|█████▋ | 40190/70000 [14:14:11<10:19:01, 1.25s/step] Training: 57%|█████▋ | 40191/70000 [14:14:12<10:31:12, 1.27s/step] Training: 57%|█████▋ | 40192/70000 [14:14:13<10:40:47, 1.29s/step] Training: 57%|█████▋ | 40193/70000 [14:14:15<10:30:28, 1.27s/step] Training: 57%|█████▋ | 40194/70000 [14:14:16<10:41:12, 1.29s/step] Training: 57%|█████▋ | 40195/70000 [14:14:17<10:28:38, 1.27s/step] Training: 57%|█████▋ | 40196/70000 [14:14:18<10:17:05, 1.24s/step] Training: 57%|█████▋ | 40197/70000 [14:14:20<10:28:56, 1.27s/step] Training: 57%|█████▋ | 40198/70000 [14:14:21<10:17:17, 1.24s/step] Training: 57%|█████▋ | 40199/70000 [14:14:22<10:14:10, 1.24s/step] Training: 57%|█████▋ | 40200/70000 [14:14:24<10:30:41, 1.27s/step]INFO 2026-03-13 10:24:16 ot_train.py:435 step:40K smpl:3M ep:9K epch:34.07 loss:0.012 grdn:2.215 lr:1.0e-05 updt_s:1.238 data_s:0.055 Training: 57%|█████▋ | 40201/70000 [14:14:25<10:41:03, 1.29s/step] Training: 57%|█████▋ | 40202/70000 [14:14:26<10:49:50, 1.31s/step] Training: 57%|█████▋ | 40203/70000 [14:14:28<10:54:03, 1.32s/step] Training: 57%|█████▋ | 40204/70000 [14:14:29<10:55:39, 1.32s/step] Training: 57%|█████▋ | 40205/70000 [14:14:30<10:35:40, 1.28s/step] Training: 57%|█████▋ | 40206/70000 [14:14:31<10:22:15, 1.25s/step] Training: 57%|█████▋ | 40207/70000 [14:14:32<10:17:55, 1.24s/step] Training: 57%|█████▋ | 40208/70000 [14:14:34<10:13:28, 1.24s/step] Training: 57%|█████▋ | 40209/70000 [14:14:35<10:29:55, 1.27s/step] Training: 57%|█████▋ | 40210/70000 [14:14:36<10:18:06, 1.24s/step] Training: 57%|█████▋ | 40211/70000 [14:14:38<10:32:25, 1.27s/step] Training: 57%|█████▋ | 40212/70000 [14:14:39<10:41:07, 1.29s/step] Training: 57%|█████▋ | 40213/70000 [14:14:40<10:26:43, 1.26s/step] Training: 57%|█████▋ | 40214/70000 [14:14:41<10:15:39, 1.24s/step] Training: 57%|█████▋ | 40215/70000 [14:14:43<10:30:13, 1.27s/step] Training: 57%|█████▋ | 40216/70000 [14:14:44<10:40:27, 1.29s/step] Training: 57%|█████▋ | 40217/70000 [14:14:45<10:52:16, 1.31s/step] Training: 57%|█████▋ | 40218/70000 [14:14:47<10:42:30, 1.29s/step] Training: 57%|█████▋ | 40219/70000 [14:14:48<10:32:22, 1.27s/step] Training: 57%|█████▋ | 40220/70000 [14:14:49<10:26:42, 1.26s/step] Training: 57%|█████▋ | 40221/70000 [14:14:50<10:16:03, 1.24s/step] Training: 57%|█████▋ | 40222/70000 [14:14:51<10:07:42, 1.22s/step] Training: 57%|█████▋ | 40223/70000 [14:14:53<10:23:35, 1.26s/step] Training: 57%|█████▋ | 40224/70000 [14:14:54<10:34:57, 1.28s/step] Training: 57%|█████▋ | 40225/70000 [14:14:55<10:26:01, 1.26s/step] Training: 57%|█████▋ | 40226/70000 [14:14:57<10:22:17, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=1817 Training: 57%|█████▋ | 40227/70000 [14:14:58<10:15:45, 1.24s/step] Training: 57%|█████▋ | 40228/70000 [14:14:59<10:10:56, 1.23s/step] Training: 57%|█████▋ | 40229/70000 [14:15:00<10:05:28, 1.22s/step] Training: 57%|█████▋ | 40230/70000 [14:15:01<10:01:40, 1.21s/step] Training: 57%|█████▋ | 40231/70000 [14:15:03<10:05:01, 1.22s/step] Training: 57%|█████▋ | 40232/70000 [14:15:04<10:21:25, 1.25s/step] Training: 57%|█████▋ | 40233/70000 [14:15:05<10:33:43, 1.28s/step] Training: 57%|█████▋ | 40234/70000 [14:15:06<10:21:56, 1.25s/step] Training: 57%|█████▋ | 40235/70000 [14:15:08<10:56:30, 1.32s/step] Training: 57%|█████▋ | 40236/70000 [14:15:09<10:54:43, 1.32s/step] Training: 57%|█████▋ | 40237/70000 [14:15:10<10:35:21, 1.28s/step] Training: 57%|█████▋ | 40238/70000 [14:15:12<10:21:30, 1.25s/step] Training: 57%|█████▋ | 40239/70000 [14:15:13<10:18:37, 1.25s/step] Training: 57%|█████▋ | 40240/70000 [14:15:14<10:15:25, 1.24s/step] Training: 57%|█████▋ | 40241/70000 [14:15:15<10:27:38, 1.27s/step] Training: 57%|█████▋ | 40242/70000 [14:15:17<10:16:35, 1.24s/step] Training: 57%|█████▋ | 40243/70000 [14:15:18<10:40:42, 1.29s/step] Training: 57%|█████▋ | 40244/70000 [14:15:19<10:44:41, 1.30s/step] Training: 57%|█████▋ | 40245/70000 [14:15:21<10:28:25, 1.27s/step] Training: 57%|█████▋ | 40246/70000 [14:15:22<10:16:31, 1.24s/step] Training: 57%|█████▋ | 40247/70000 [14:15:23<10:29:06, 1.27s/step] Training: 57%|█████▋ | 40248/70000 [14:15:24<10:38:18, 1.29s/step] Training: 57%|█████▋ | 40249/70000 [14:15:26<10:52:35, 1.32s/step] Training: 57%|█████▊ | 40250/70000 [14:15:27<10:33:44, 1.28s/step] Training: 58%|█████▊ | 40251/70000 [14:15:28<10:49:40, 1.31s/step] Training: 58%|█████▊ | 40252/70000 [14:15:29<10:30:25, 1.27s/step] Training: 58%|█████▊ | 40253/70000 [14:15:31<10:18:36, 1.25s/step] Training: 58%|█████▊ | 40254/70000 [14:15:32<10:09:05, 1.23s/step] Training: 58%|█████▊ | 40255/70000 [14:15:33<10:25:29, 1.26s/step] Training: 58%|█████▊ | 40256/70000 [14:15:35<10:35:14, 1.28s/step] Training: 58%|█████▊ | 40257/70000 [14:15:36<10:25:18, 1.26s/step] Training: 58%|█████▊ | 40258/70000 [14:15:37<10:14:51, 1.24s/step] Training: 58%|█████▊ | 40259/70000 [14:15:38<10:32:56, 1.28s/step] Training: 58%|█████▊ | 40260/70000 [14:15:40<10:24:00, 1.26s/step] Training: 58%|█████▊ | 40261/70000 [14:15:41<10:13:25, 1.24s/step] Training: 58%|█████▊ | 40262/70000 [14:15:42<10:05:52, 1.22s/step] Training: 58%|█████▊ | 40263/70000 [14:15:43<10:07:49, 1.23s/step] Training: 58%|█████▊ | 40264/70000 [14:15:44<10:22:06, 1.26s/step] Training: 58%|█████▊ | 40265/70000 [14:15:46<10:34:15, 1.28s/step] Training: 58%|█████▊ | 40266/70000 [14:15:47<10:20:46, 1.25s/step] Training: 58%|█████▊ | 40267/70000 [14:15:48<10:32:37, 1.28s/step] Training: 58%|█████▊ | 40268/70000 [14:15:50<10:53:12, 1.32s/step] Training: 58%|█████▊ | 40269/70000 [14:15:51<10:33:47, 1.28s/step] Training: 58%|█████▊ | 40270/70000 [14:15:52<10:20:35, 1.25s/step] Training: 58%|█████▊ | 40271/70000 [14:15:53<10:16:00, 1.24s/step] Training: 58%|█████▊ | 40272/70000 [14:15:55<10:11:15, 1.23s/step] Training: 58%|█████▊ | 40273/70000 [14:15:56<10:27:29, 1.27s/step] Training: 58%|█████▊ | 40274/70000 [14:15:57<10:16:24, 1.24s/step] Training: 58%|█████▊ | 40275/70000 [14:15:58<10:08:51, 1.23s/step] Training: 58%|█████▊ | 40276/70000 [14:16:00<10:37:57, 1.29s/step] Training: 58%|█████▊ | 40277/70000 [14:16:01<10:23:08, 1.26s/step] Training: 58%|█████▊ | 40278/70000 [14:16:02<10:12:31, 1.24s/step] Training: 58%|█████▊ | 40279/70000 [14:16:03<10:27:47, 1.27s/step] Training: 58%|█████▊ | 40280/70000 [14:16:05<10:37:51, 1.29s/step] Training: 58%|█████▊ | 40281/70000 [14:16:06<10:50:53, 1.31s/step] Training: 58%|█████▊ | 40282/70000 [14:16:07<10:31:55, 1.28s/step] Training: 58%|█████▊ | 40283/70000 [14:16:09<10:19:31, 1.25s/step] Training: 58%|█████▊ | 40284/70000 [14:16:10<10:29:59, 1.27s/step] Training: 58%|█████▊ | 40285/70000 [14:16:11<10:16:17, 1.24s/step] Training: 58%|█████▊ | 40286/70000 [14:16:12<10:07:43, 1.23s/step] Training: 58%|█████▊ | 40287/70000 [14:16:14<10:23:41, 1.26s/step] Training: 58%|█████▊ | 40288/70000 [14:16:15<10:34:06, 1.28s/step] Training: 58%|█████▊ | 40289/70000 [14:16:16<10:25:01, 1.26s/step] Training: 58%|█████▊ | 40290/70000 [14:16:17<10:15:34, 1.24s/step] Training: 58%|█████▊ | 40291/70000 [14:16:18<10:07:42, 1.23s/step] Training: 58%|█████▊ | 40292/70000 [14:16:20<10:26:37, 1.27s/step] Training: 58%|█████▊ | 40293/70000 [14:16:21<10:13:47, 1.24s/step] Training: 58%|█████▊ | 40294/70000 [14:16:22<10:06:01, 1.22s/step] Training: 58%|█████▊ | 40295/70000 [14:16:23<10:08:33, 1.23s/step] Training: 58%|█████▊ | 40296/70000 [14:16:25<10:23:31, 1.26s/step] Training: 58%|█████▊ | 40297/70000 [14:16:26<10:34:22, 1.28s/step] Training: 58%|█████▊ | 40298/70000 [14:16:27<10:22:03, 1.26s/step] Training: 58%|█████▊ | 40299/70000 [14:16:28<10:12:12, 1.24s/step] Training: 58%|█████▊ | 40300/70000 [14:16:30<10:36:33, 1.29s/step]INFO 2026-03-13 10:26:22 ot_train.py:435 step:40K smpl:3M ep:9K epch:34.16 loss:0.011 grdn:1.463 lr:1.0e-05 updt_s:1.243 data_s:0.019 Training: 58%|█████▊ | 40301/70000 [14:16:31<10:22:47, 1.26s/step] Training: 58%|█████▊ | 40302/70000 [14:16:32<10:13:18, 1.24s/step] Training: 58%|█████▊ | 40303/70000 [14:16:33<10:08:15, 1.23s/step] Training: 58%|█████▊ | 40304/70000 [14:16:35<10:06:42, 1.23s/step] Training: 58%|█████▊ | 40305/70000 [14:16:36<10:22:53, 1.26s/step] Training: 58%|█████▊ | 40306/70000 [14:16:37<10:13:30, 1.24s/step] Training: 58%|█████▊ | 40307/70000 [14:16:38<10:05:43, 1.22s/step] Training: 58%|█████▊ | 40308/70000 [14:16:40<10:20:59, 1.25s/step] Training: 58%|█████▊ | 40309/70000 [14:16:41<10:33:23, 1.28s/step] Training: 58%|█████▊ | 40310/70000 [14:16:42<10:18:55, 1.25s/step] Training: 58%|█████▊ | 40311/70000 [14:16:44<10:30:35, 1.27s/step] Training: 58%|█████▊ | 40312/70000 [14:16:45<10:39:16, 1.29s/step] Training: 58%|█████▊ | 40313/70000 [14:16:46<10:52:20, 1.32s/step] Training: 58%|█████▊ | 40314/70000 [14:16:47<10:32:57, 1.28s/step] Training: 58%|█████▊ | 40315/70000 [14:16:49<10:19:20, 1.25s/step] Training: 58%|█████▊ | 40316/70000 [14:16:50<10:20:17, 1.25s/step] Training: 58%|█████▊ | 40317/70000 [14:16:51<10:25:47, 1.26s/step] Training: 58%|█████▊ | 40318/70000 [14:16:52<10:14:09, 1.24s/step] Training: 58%|█████▊ | 40319/70000 [14:16:54<10:27:20, 1.27s/step] Training: 58%|█████▊ | 40320/70000 [14:16:55<10:36:31, 1.29s/step] Training: 58%|█████▊ | 40321/70000 [14:16:56<10:27:02, 1.27s/step] Training: 58%|█████▊ | 40322/70000 [14:16:57<10:16:10, 1.25s/step] Training: 58%|█████▊ | 40323/70000 [14:16:59<10:08:12, 1.23s/step] Training: 58%|█████▊ | 40324/70000 [14:17:00<10:22:41, 1.26s/step] Training: 58%|█████▊ | 40325/70000 [14:17:01<10:36:36, 1.29s/step] Training: 58%|█████▊ | 40326/70000 [14:17:03<10:20:01, 1.25s/step] Training: 58%|█████▊ | 40327/70000 [14:17:04<10:16:43, 1.25s/step] Training: 58%|█████▊ | 40328/70000 [14:17:05<10:13:05, 1.24s/step] Training: 58%|█████▊ | 40329/70000 [14:17:06<10:26:54, 1.27s/step] Training: 58%|█████▊ | 40330/70000 [14:17:08<10:15:57, 1.25s/step] Training: 58%|█████▊ | 40331/70000 [14:17:09<10:07:57, 1.23s/step] Training: 58%|█████▊ | 40332/70000 [14:17:10<10:23:28, 1.26s/step] Training: 58%|█████▊ | 40333/70000 [14:17:11<10:37:38, 1.29s/step] Training: 58%|█████▊ | 40334/70000 [14:17:13<10:21:40, 1.26s/step] Training: 58%|█████▊ | 40335/70000 [14:17:14<10:14:54, 1.24s/step] Training: 58%|█████▊ | 40336/70000 [14:17:15<10:09:59, 1.23s/step] Training: 58%|█████▊ | 40337/70000 [14:17:16<10:24:02, 1.26s/step] Training: 58%|█████▊ | 40338/70000 [14:17:18<10:14:21, 1.24s/step] Training: 58%|█████▊ | 40339/70000 [14:17:19<10:06:45, 1.23s/step] Training: 58%|█████▊ | 40340/70000 [14:17:20<10:21:07, 1.26s/step] Training: 58%|█████▊ | 40341/70000 [14:17:21<10:35:23, 1.29s/step] Training: 58%|█████▊ | 40342/70000 [14:17:23<10:19:49, 1.25s/step] Training: 58%|█████▊ | 40343/70000 [14:17:24<10:30:31, 1.28s/step] Training: 58%|█████▊ | 40344/70000 [14:17:25<10:38:24, 1.29s/step] Training: 58%|█████▊ | 40345/70000 [14:17:27<10:50:51, 1.32s/step] Training: 58%|█████▊ | 40346/70000 [14:17:28<10:31:54, 1.28s/step] Training: 58%|█████▊ | 40347/70000 [14:17:29<10:20:24, 1.26s/step] Training: 58%|█████▊ | 40348/70000 [14:17:30<10:17:02, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=33005 Training: 58%|█████▊ | 40349/70000 [14:17:32<10:33:56, 1.28s/step] Training: 58%|█████▊ | 40350/70000 [14:17:33<10:20:02, 1.25s/step] Training: 58%|█████▊ | 40351/70000 [14:17:34<10:30:46, 1.28s/step] Training: 58%|█████▊ | 40352/70000 [14:17:35<10:38:01, 1.29s/step] Training: 58%|█████▊ | 40353/70000 [14:17:37<10:26:26, 1.27s/step] Training: 58%|█████▊ | 40354/70000 [14:17:38<10:16:35, 1.25s/step] Training: 58%|█████▊ | 40355/70000 [14:17:39<10:08:23, 1.23s/step] Training: 58%|█████▊ | 40356/70000 [14:17:40<10:22:06, 1.26s/step] Training: 58%|█████▊ | 40357/70000 [14:17:42<10:21:29, 1.26s/step] Training: 58%|█████▊ | 40358/70000 [14:17:43<10:10:26, 1.24s/step] Training: 58%|█████▊ | 40359/70000 [14:17:44<10:08:29, 1.23s/step] Training: 58%|█████▊ | 40360/70000 [14:17:45<10:08:25, 1.23s/step] Training: 58%|█████▊ | 40361/70000 [14:17:47<10:23:03, 1.26s/step] Training: 58%|█████▊ | 40362/70000 [14:17:48<10:13:06, 1.24s/step] Training: 58%|█████▊ | 40363/70000 [14:17:49<10:06:20, 1.23s/step] Training: 58%|█████▊ | 40364/70000 [14:17:50<10:22:28, 1.26s/step] Training: 58%|█████▊ | 40365/70000 [14:17:52<10:11:51, 1.24s/step] Training: 58%|█████▊ | 40366/70000 [14:17:53<10:29:03, 1.27s/step] Training: 58%|█████▊ | 40367/70000 [14:17:54<10:19:07, 1.25s/step] Training: 58%|█████▊ | 40368/70000 [14:17:55<10:15:23, 1.25s/step] Training: 58%|█████▊ | 40369/70000 [14:17:57<10:28:31, 1.27s/step] Training: 58%|█████▊ | 40370/70000 [14:17:58<10:16:41, 1.25s/step] Training: 58%|█████▊ | 40371/70000 [14:17:59<10:07:42, 1.23s/step] Training: 58%|█████▊ | 40372/70000 [14:18:00<10:21:43, 1.26s/step] Training: 58%|█████▊ | 40373/70000 [14:18:02<10:11:11, 1.24s/step] Training: 58%|█████▊ | 40374/70000 [14:18:03<10:24:38, 1.27s/step] Training: 58%|█████▊ | 40375/70000 [14:18:04<10:32:57, 1.28s/step] Training: 58%|█████▊ | 40376/70000 [14:18:05<10:19:16, 1.25s/step] Training: 58%|█████▊ | 40377/70000 [14:18:07<10:47:06, 1.31s/step] Training: 58%|█████▊ | 40378/70000 [14:18:08<10:29:11, 1.27s/step] Training: 58%|█████▊ | 40379/70000 [14:18:09<10:16:49, 1.25s/step] Training: 58%|█████▊ | 40380/70000 [14:18:10<10:15:20, 1.25s/step] Training: 58%|█████▊ | 40381/70000 [14:18:12<10:06:45, 1.23s/step] Training: 58%|█████▊ | 40382/70000 [14:18:13<10:26:13, 1.27s/step] Training: 58%|█████▊ | 40383/70000 [14:18:14<10:33:31, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=51810 Training: 58%|█████▊ | 40384/70000 [14:18:16<10:40:20, 1.30s/step] Training: 58%|█████▊ | 40385/70000 [14:18:17<10:29:05, 1.27s/step] Training: 58%|█████▊ | 40386/70000 [14:18:18<10:17:44, 1.25s/step] Training: 58%|█████▊ | 40387/70000 [14:18:19<10:09:21, 1.23s/step] Training: 58%|█████▊ | 40388/70000 [14:18:21<10:24:08, 1.26s/step] Training: 58%|█████▊ | 40389/70000 [14:18:22<10:13:49, 1.24s/step] Training: 58%|█████▊ | 40390/70000 [14:18:23<10:06:23, 1.23s/step] Training: 58%|█████▊ | 40391/70000 [14:18:24<10:37:09, 1.29s/step] Training: 58%|█████▊ | 40392/70000 [14:18:26<10:24:37, 1.27s/step] Training: 58%|█████▊ | 40393/70000 [14:18:27<10:35:15, 1.29s/step] Training: 58%|█████▊ | 40394/70000 [14:18:28<10:20:53, 1.26s/step] Training: 58%|█████▊ | 40395/70000 [14:18:29<10:10:43, 1.24s/step] Training: 58%|█████▊ | 40396/70000 [14:18:31<10:24:37, 1.27s/step] Training: 58%|█████▊ | 40397/70000 [14:18:32<10:13:34, 1.24s/step] Training: 58%|█████▊ | 40398/70000 [14:18:33<10:05:45, 1.23s/step] Training: 58%|█████▊ | 40399/70000 [14:18:34<10:22:44, 1.26s/step] Training: 58%|█████▊ | 40400/70000 [14:18:36<10:16:27, 1.25s/step]INFO 2026-03-13 10:28:28 ot_train.py:435 step:40K smpl:3M ep:9K epch:34.24 loss:0.011 grdn:2.213 lr:1.0e-05 updt_s:1.237 data_s:0.018 Training: 58%|█████▊ | 40401/70000 [14:18:37<10:29:17, 1.28s/step] Training: 58%|█████▊ | 40402/70000 [14:18:38<10:17:25, 1.25s/step] Training: 58%|█████▊ | 40403/70000 [14:18:39<10:07:53, 1.23s/step] Training: 58%|█████▊ | 40404/70000 [14:18:41<10:23:31, 1.26s/step] Training: 58%|█████▊ | 40405/70000 [14:18:42<10:12:28, 1.24s/step] Training: 58%|█████▊ | 40406/70000 [14:18:43<10:04:15, 1.23s/step] Training: 58%|█████▊ | 40407/70000 [14:18:44<10:33:18, 1.28s/step] Training: 58%|█████▊ | 40408/70000 [14:18:46<10:19:12, 1.26s/step] Training: 58%|█████▊ | 40409/70000 [14:18:47<10:49:00, 1.32s/step] Training: 58%|█████▊ | 40410/70000 [14:18:48<10:30:23, 1.28s/step] Training: 58%|█████▊ | 40411/70000 [14:18:49<10:17:07, 1.25s/step] Training: 58%|█████▊ | 40412/70000 [14:18:51<10:16:21, 1.25s/step] Training: 58%|█████▊ | 40413/70000 [14:18:52<10:07:47, 1.23s/step] Training: 58%|█████▊ | 40414/70000 [14:18:53<10:01:29, 1.22s/step] Training: 58%|█████▊ | 40415/70000 [14:18:54<10:18:46, 1.25s/step] Training: 58%|█████▊ | 40416/70000 [14:18:56<10:30:24, 1.28s/step] Training: 58%|█████▊ | 40417/70000 [14:18:57<10:23:30, 1.26s/step] Training: 58%|█████▊ | 40418/70000 [14:18:58<10:12:41, 1.24s/step] Training: 58%|█████▊ | 40419/70000 [14:18:59<10:05:03, 1.23s/step] Training: 58%|█████▊ | 40420/70000 [14:19:01<10:19:53, 1.26s/step] Training: 58%|█████▊ | 40421/70000 [14:19:02<10:09:56, 1.24s/step] Training: 58%|█████▊ | 40422/70000 [14:19:03<10:03:03, 1.22s/step] Training: 58%|█████▊ | 40423/70000 [14:19:05<10:28:36, 1.28s/step] Training: 58%|█████▊ | 40424/70000 [14:19:06<10:16:01, 1.25s/step] Training: 58%|█████▊ | 40425/70000 [14:19:07<10:28:48, 1.28s/step] Training: 58%|█████▊ | 40426/70000 [14:19:08<10:17:03, 1.25s/step] Training: 58%|█████▊ | 40427/70000 [14:19:09<10:08:21, 1.23s/step] Training: 58%|█████▊ | 40428/70000 [14:19:11<10:22:01, 1.26s/step] Training: 58%|█████▊ | 40429/70000 [14:19:12<10:11:52, 1.24s/step] Training: 58%|█████▊ | 40430/70000 [14:19:13<10:04:21, 1.23s/step] Training: 58%|█████▊ | 40431/70000 [14:19:14<10:07:12, 1.23s/step] Training: 58%|█████▊ | 40432/70000 [14:19:16<10:07:00, 1.23s/step] Training: 58%|█████▊ | 40433/70000 [14:19:17<10:21:59, 1.26s/step] Training: 58%|█████▊ | 40434/70000 [14:19:18<10:12:21, 1.24s/step] Training: 58%|█████▊ | 40435/70000 [14:19:19<10:05:27, 1.23s/step] Training: 58%|█████▊ | 40436/70000 [14:19:21<10:18:36, 1.26s/step] Training: 58%|█████▊ | 40437/70000 [14:19:22<10:09:43, 1.24s/step] Training: 58%|█████▊ | 40438/70000 [14:19:23<10:03:20, 1.22s/step] Training: 58%|█████▊ | 40439/70000 [14:19:25<10:39:27, 1.30s/step] Training: 58%|█████▊ | 40440/70000 [14:19:26<10:45:21, 1.31s/step] Training: 58%|█████▊ | 40441/70000 [14:19:27<11:02:06, 1.34s/step] Training: 58%|█████▊ | 40442/70000 [14:19:28<10:39:34, 1.30s/step] Training: 58%|█████▊ | 40443/70000 [14:19:30<10:23:05, 1.26s/step] Training: 58%|█████▊ | 40444/70000 [14:19:31<10:22:46, 1.26s/step] Training: 58%|█████▊ | 40445/70000 [14:19:32<10:13:17, 1.25s/step] Training: 58%|█████▊ | 40446/70000 [14:19:33<10:04:44, 1.23s/step] Training: 58%|█████▊ | 40447/70000 [14:19:35<10:20:03, 1.26s/step] Training: 58%|█████▊ | 40448/70000 [14:19:36<10:27:24, 1.27s/step] Training: 58%|█████▊ | 40449/70000 [14:19:37<10:34:27, 1.29s/step] Training: 58%|█████▊ | 40450/70000 [14:19:38<10:20:36, 1.26s/step] Training: 58%|█████▊ | 40451/70000 [14:19:40<10:09:50, 1.24s/step] Training: 58%|█████▊ | 40452/70000 [14:19:41<10:23:05, 1.27s/step] Training: 58%|█████▊ | 40453/70000 [14:19:42<10:11:33, 1.24s/step] Training: 58%|█████▊ | 40454/70000 [14:19:43<10:03:37, 1.23s/step] Training: 58%|█████▊ | 40455/70000 [14:19:45<10:04:07, 1.23s/step] Training: 58%|█████▊ | 40456/70000 [14:19:46<10:29:26, 1.28s/step] Training: 58%|█████▊ | 40457/70000 [14:19:47<10:37:56, 1.30s/step] Training: 58%|█████▊ | 40458/70000 [14:19:49<10:22:36, 1.26s/step] Training: 58%|█████▊ | 40459/70000 [14:19:50<10:12:01, 1.24s/step] Training: 58%|█████▊ | 40460/70000 [14:19:51<10:27:57, 1.28s/step] Training: 58%|█████▊ | 40461/70000 [14:19:52<10:15:59, 1.25s/step] Training: 58%|█████▊ | 40462/70000 [14:19:53<10:07:21, 1.23s/step] Training: 58%|█████▊ | 40463/70000 [14:19:55<10:03:12, 1.23s/step] Training: 58%|█████▊ | 40464/70000 [14:19:56<10:03:09, 1.23s/step] Training: 58%|█████▊ | 40465/70000 [14:19:57<10:39:28, 1.30s/step] Training: 58%|█████▊ | 40466/70000 [14:19:59<10:23:36, 1.27s/step] Training: 58%|█████▊ | 40467/70000 [14:20:00<10:12:11, 1.24s/step] Training: 58%|█████▊ | 40468/70000 [14:20:01<10:24:34, 1.27s/step] Training: 58%|█████▊ | 40469/70000 [14:20:02<10:12:26, 1.24s/step] Training: 58%|█████▊ | 40470/70000 [14:20:03<10:04:11, 1.23s/step] Training: 58%|█████▊ | 40471/70000 [14:20:05<10:20:14, 1.26s/step] Training: 58%|█████▊ | 40472/70000 [14:20:06<10:29:36, 1.28s/step] Training: 58%|█████▊ | 40473/70000 [14:20:08<10:52:14, 1.33s/step] Training: 58%|█████▊ | 40474/70000 [14:20:09<10:32:19, 1.28s/step] Training: 58%|█████▊ | 40475/70000 [14:20:10<10:20:04, 1.26s/step] Training: 58%|█████▊ | 40476/70000 [14:20:11<10:14:57, 1.25s/step] Training: 58%|█████▊ | 40477/70000 [14:20:12<10:09:28, 1.24s/step] Training: 58%|█████▊ | 40478/70000 [14:20:14<10:02:50, 1.23s/step] Training: 58%|█████▊ | 40479/70000 [14:20:15<10:19:15, 1.26s/step] Training: 58%|█████▊ | 40480/70000 [14:20:16<10:29:52, 1.28s/step] Training: 58%|█████▊ | 40481/70000 [14:20:18<10:37:17, 1.30s/step] Training: 58%|█████▊ | 40482/70000 [14:20:19<10:22:03, 1.26s/step] Training: 58%|█████▊ | 40483/70000 [14:20:20<10:10:59, 1.24s/step] Training: 58%|█████▊ | 40484/70000 [14:20:21<10:22:48, 1.27s/step] Training: 58%|█████▊ | 40485/70000 [14:20:22<10:12:08, 1.24s/step] Training: 58%|█████▊ | 40486/70000 [14:20:24<10:03:23, 1.23s/step] Training: 58%|█████▊ | 40487/70000 [14:20:25<10:04:00, 1.23s/step] Training: 58%|█████▊ | 40488/70000 [14:20:26<10:01:36, 1.22s/step] Training: 58%|█████▊ | 40489/70000 [14:20:27<10:21:39, 1.26s/step] Training: 58%|█████▊ | 40490/70000 [14:20:29<10:10:52, 1.24s/step] Training: 58%|█████▊ | 40491/70000 [14:20:30<10:03:35, 1.23s/step] Training: 58%|█████▊ | 40492/70000 [14:20:31<10:17:21, 1.26s/step] Training: 58%|█████▊ | 40493/70000 [14:20:32<10:08:54, 1.24s/step] Training: 58%|█████▊ | 40494/70000 [14:20:34<10:01:23, 1.22s/step] Training: 58%|█████▊ | 40495/70000 [14:20:35<9:59:16, 1.22s/step] Training: 58%|█████▊ | 40496/70000 [14:20:36<10:02:29, 1.23s/step] Training: 58%|█████▊ | 40497/70000 [14:20:37<10:18:37, 1.26s/step] Training: 58%|█████▊ | 40498/70000 [14:20:39<10:10:08, 1.24s/step] Training: 58%|█████▊ | 40499/70000 [14:20:40<10:03:01, 1.23s/step] Training: 58%|█████▊ | 40500/70000 [14:20:41<10:02:32, 1.23s/step]INFO 2026-03-13 10:30:33 ot_train.py:435 step:40K smpl:3M ep:9K epch:34.33 loss:0.012 grdn:1.605 lr:1.0e-05 updt_s:1.232 data_s:0.019 Training: 58%|█████▊ | 40501/70000 [14:20:42<9:57:37, 1.22s/step] Training: 58%|█████▊ | 40502/70000 [14:20:43<9:53:39, 1.21s/step] Training: 58%|█████▊ | 40503/70000 [14:20:45<10:11:49, 1.24s/step] Training: 58%|█████▊ | 40504/70000 [14:20:46<10:03:39, 1.23s/step] Training: 58%|█████▊ | 40505/70000 [14:20:47<10:34:14, 1.29s/step] Training: 58%|█████▊ | 40506/70000 [14:20:49<10:43:08, 1.31s/step] Training: 58%|█████▊ | 40507/70000 [14:20:50<10:24:59, 1.27s/step] Training: 58%|█████▊ | 40508/70000 [14:20:51<10:25:58, 1.27s/step] Training: 58%|█████▊ | 40509/70000 [14:20:52<10:13:57, 1.25s/step] Training: 58%|█████▊ | 40510/70000 [14:20:53<10:05:12, 1.23s/step] Training: 58%|█████▊ | 40511/70000 [14:20:55<10:22:13, 1.27s/step] Training: 58%|█████▊ | 40512/70000 [14:20:56<10:31:19, 1.28s/step] Training: 58%|█████▊ | 40513/70000 [14:20:57<10:36:13, 1.29s/step] Training: 58%|█████▊ | 40514/70000 [14:20:59<10:33:04, 1.29s/step] Training: 58%|█████▊ | 40515/70000 [14:21:00<10:18:14, 1.26s/step] Training: 58%|█████▊ | 40516/70000 [14:21:01<10:09:37, 1.24s/step] Training: 58%|█████▊ | 40517/70000 [14:21:02<10:19:12, 1.26s/step] Training: 58%|█████▊ | 40518/70000 [14:21:04<10:08:16, 1.24s/step] Training: 58%|█████▊ | 40519/70000 [14:21:05<10:07:57, 1.24s/step] Training: 58%|█████▊ | 40520/70000 [14:21:06<10:03:17, 1.23s/step] Training: 58%|█████▊ | 40521/70000 [14:21:07<10:17:58, 1.26s/step] Training: 58%|█████▊ | 40522/70000 [14:21:09<10:07:50, 1.24s/step] Training: 58%|█████▊ | 40523/70000 [14:21:10<10:23:04, 1.27s/step] Training: 58%|█████▊ | 40524/70000 [14:21:11<10:30:41, 1.28s/step] Training: 58%|█████▊ | 40525/70000 [14:21:12<10:17:01, 1.26s/step] Training: 58%|█████▊ | 40526/70000 [14:21:14<10:07:01, 1.24s/step] Training: 58%|█████▊ | 40527/70000 [14:21:15<10:03:58, 1.23s/step] Training: 58%|█████▊ | 40528/70000 [14:21:16<10:02:51, 1.23s/step] Training: 58%|█████▊ | 40529/70000 [14:21:17<10:18:22, 1.26s/step] Training: 58%|█████▊ | 40530/70000 [14:21:19<10:32:27, 1.29s/step] Training: 58%|█████▊ | 40531/70000 [14:21:20<10:17:13, 1.26s/step] Training: 58%|█████▊ | 40532/70000 [14:21:21<10:29:11, 1.28s/step] Training: 58%|█████▊ | 40533/70000 [14:21:22<10:15:37, 1.25s/step] Training: 58%|█████▊ | 40534/70000 [14:21:24<10:07:11, 1.24s/step] Training: 58%|█████▊ | 40535/70000 [14:21:25<10:22:19, 1.27s/step] Training: 58%|█████▊ | 40536/70000 [14:21:26<10:11:10, 1.24s/step] Training: 58%|█████▊ | 40537/70000 [14:21:28<10:38:43, 1.30s/step] Training: 58%|█████▊ | 40538/70000 [14:21:29<10:23:18, 1.27s/step] Training: 58%|█████▊ | 40539/70000 [14:21:30<10:33:12, 1.29s/step] Training: 58%|█████▊ | 40540/70000 [14:21:31<10:28:46, 1.28s/step] Training: 58%|█████▊ | 40541/70000 [14:21:33<10:15:15, 1.25s/step] Training: 58%|█████▊ | 40542/70000 [14:21:34<10:05:33, 1.23s/step] Training: 58%|█████▊ | 40543/70000 [14:21:35<10:20:00, 1.26s/step] Training: 58%|█████▊ | 40544/70000 [14:21:36<10:09:05, 1.24s/step] Training: 58%|█████▊ | 40545/70000 [14:21:38<10:23:44, 1.27s/step] Training: 58%|█████▊ | 40546/70000 [14:21:39<10:12:08, 1.25s/step] Training: 58%|█████▊ | 40547/70000 [14:21:40<10:25:43, 1.27s/step] Training: 58%|█████▊ | 40548/70000 [14:21:41<10:14:22, 1.25s/step] Training: 58%|█████▊ | 40549/70000 [14:21:43<10:20:01, 1.26s/step] Training: 58%|█████▊ | 40550/70000 [14:21:44<10:10:22, 1.24s/step] Training: 58%|█████▊ | 40551/70000 [14:21:45<10:07:54, 1.24s/step] Training: 58%|█████▊ | 40552/70000 [14:21:46<10:06:23, 1.24s/step] Training: 58%|█████▊ | 40553/70000 [14:21:48<10:21:55, 1.27s/step] Training: 58%|█████▊ | 40554/70000 [14:21:49<10:10:38, 1.24s/step] Training: 58%|█████▊ | 40555/70000 [14:21:50<10:02:24, 1.23s/step] Training: 58%|█████▊ | 40556/70000 [14:21:51<10:15:58, 1.26s/step] Training: 58%|█████▊ | 40557/70000 [14:21:53<10:06:42, 1.24s/step] Training: 58%|█████▊ | 40558/70000 [14:21:54<9:59:40, 1.22s/step] Training: 58%|█████▊ | 40559/70000 [14:21:55<10:01:48, 1.23s/step] Training: 58%|█████▊ | 40560/70000 [14:21:56<9:58:35, 1.22s/step] Training: 58%|█████▊ | 40561/70000 [14:21:57<10:15:17, 1.25s/step] Training: 58%|█████▊ | 40562/70000 [14:21:59<10:06:08, 1.24s/step] Training: 58%|█████▊ | 40563/70000 [14:22:00<10:07:42, 1.24s/step] Training: 58%|█████▊ | 40564/70000 [14:22:01<10:22:00, 1.27s/step] Training: 58%|█████▊ | 40565/70000 [14:22:02<10:09:56, 1.24s/step] Training: 58%|█████▊ | 40566/70000 [14:22:04<10:02:14, 1.23s/step] Training: 58%|█████▊ | 40567/70000 [14:22:05<10:16:59, 1.26s/step] Training: 58%|█████▊ | 40568/70000 [14:22:06<10:26:21, 1.28s/step] Training: 58%|█████▊ | 40569/70000 [14:22:08<10:33:37, 1.29s/step] Training: 58%|█████▊ | 40570/70000 [14:22:09<10:19:20, 1.26s/step] Training: 58%|█████▊ | 40571/70000 [14:22:10<10:16:10, 1.26s/step] Training: 58%|█████▊ | 40572/70000 [14:22:11<10:14:16, 1.25s/step] Training: 58%|█████▊ | 40573/70000 [14:22:12<10:05:23, 1.23s/step] Training: 58%|█████▊ | 40574/70000 [14:22:14<9:58:48, 1.22s/step] Training: 58%|█████▊ | 40575/70000 [14:22:15<10:14:56, 1.25s/step] Training: 58%|█████▊ | 40576/70000 [14:22:16<10:26:07, 1.28s/step] Training: 58%|█████▊ | 40577/70000 [14:22:18<10:33:02, 1.29s/step] Training: 58%|█████▊ | 40578/70000 [14:22:19<10:18:21, 1.26s/step] Training: 58%|█████▊ | 40579/70000 [14:22:20<10:07:36, 1.24s/step] Training: 58%|█████▊ | 40580/70000 [14:22:21<10:23:50, 1.27s/step] Training: 58%|█████▊ | 40581/70000 [14:22:23<10:20:54, 1.27s/step] Training: 58%|█████▊ | 40582/70000 [14:22:24<10:09:27, 1.24s/step] Training: 58%|█████▊ | 40583/70000 [14:22:25<10:07:18, 1.24s/step] Training: 58%|█████▊ | 40584/70000 [14:22:26<10:06:07, 1.24s/step] Training: 58%|█████▊ | 40585/70000 [14:22:28<10:18:14, 1.26s/step] Training: 58%|█████▊ | 40586/70000 [14:22:29<10:07:22, 1.24s/step] Training: 58%|█████▊ | 40587/70000 [14:22:30<10:00:14, 1.22s/step] Training: 58%|█████▊ | 40588/70000 [14:22:31<10:28:00, 1.28s/step] Training: 58%|█████▊ | 40589/70000 [14:22:33<10:14:19, 1.25s/step] Training: 58%|█████▊ | 40590/70000 [14:22:34<10:05:31, 1.24s/step] Training: 58%|█████▊ | 40591/70000 [14:22:35<10:01:11, 1.23s/step] Training: 58%|█████▊ | 40592/70000 [14:22:36<9:58:35, 1.22s/step] Training: 58%|█████▊ | 40593/70000 [14:22:38<10:15:30, 1.26s/step] Training: 58%|█████▊ | 40594/70000 [14:22:39<10:05:49, 1.24s/step] Training: 58%|█████▊ | 40595/70000 [14:22:40<9:58:40, 1.22s/step] Training: 58%|█████▊ | 40596/70000 [14:22:41<10:19:46, 1.26s/step] Training: 58%|█████▊ | 40597/70000 [14:22:42<10:07:50, 1.24s/step] Training: 58%|█████▊ | 40598/70000 [14:22:44<9:59:44, 1.22s/step] Training: 58%|█████▊ | 40599/70000 [14:22:45<10:16:32, 1.26s/step] Training: 58%|█████▊ | 40600/70000 [14:22:46<10:27:31, 1.28s/step]INFO 2026-03-13 10:32:38 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.41 loss:0.012 grdn:1.183 lr:1.0e-05 updt_s:1.233 data_s:0.019 Training: 58%|█████▊ | 40601/70000 [14:22:48<10:40:58, 1.31s/step] Training: 58%|█████▊ | 40602/70000 [14:22:49<10:23:53, 1.27s/step] Training: 58%|█████▊ | 40603/70000 [14:22:50<10:11:38, 1.25s/step] Training: 58%|█████▊ | 40604/70000 [14:22:51<10:28:24, 1.28s/step] Training: 58%|█████▊ | 40605/70000 [14:22:53<10:13:28, 1.25s/step] Training: 58%|█████▊ | 40606/70000 [14:22:54<10:03:52, 1.23s/step] Training: 58%|█████▊ | 40607/70000 [14:22:55<10:17:26, 1.26s/step] Training: 58%|█████▊ | 40608/70000 [14:22:56<10:29:10, 1.28s/step] Training: 58%|█████▊ | 40609/70000 [14:22:58<10:21:16, 1.27s/step] Training: 58%|█████▊ | 40610/70000 [14:22:59<10:10:05, 1.25s/step] Training: 58%|█████▊ | 40611/70000 [14:23:00<10:01:24, 1.23s/step] Training: 58%|█████▊ | 40612/70000 [14:23:01<10:03:34, 1.23s/step] Training: 58%|█████▊ | 40613/70000 [14:23:03<10:20:30, 1.27s/step] Training: 58%|█████▊ | 40614/70000 [14:23:04<10:08:12, 1.24s/step] Training: 58%|█████▊ | 40615/70000 [14:23:05<10:05:09, 1.24s/step] Training: 58%|█████▊ | 40616/70000 [14:23:06<10:07:27, 1.24s/step] Training: 58%|█████▊ | 40617/70000 [14:23:08<10:19:36, 1.27s/step] Training: 58%|█████▊ | 40618/70000 [14:23:09<10:09:50, 1.25s/step] Training: 58%|█████▊ | 40619/70000 [14:23:10<10:01:01, 1.23s/step] Training: 58%|█████▊ | 40620/70000 [14:23:11<9:55:14, 1.22s/step] Training: 58%|█████▊ | 40621/70000 [14:23:13<10:14:39, 1.26s/step] Training: 58%|█████▊ | 40622/70000 [14:23:14<10:04:36, 1.23s/step] Training: 58%|█████▊ | 40623/70000 [14:23:15<10:02:11, 1.23s/step] Training: 58%|█████▊ | 40624/70000 [14:23:16<10:00:10, 1.23s/step] Training: 58%|█████▊ | 40625/70000 [14:23:18<10:15:00, 1.26s/step] Training: 58%|█████▊ | 40626/70000 [14:23:19<10:05:15, 1.24s/step] Training: 58%|█████▊ | 40627/70000 [14:23:20<9:58:39, 1.22s/step] Training: 58%|█████▊ | 40628/70000 [14:23:21<10:19:03, 1.26s/step] Training: 58%|█████▊ | 40629/70000 [14:23:23<10:31:05, 1.29s/step] Training: 58%|█████▊ | 40630/70000 [14:23:24<10:16:29, 1.26s/step] Training: 58%|█████▊ | 40631/70000 [14:23:25<10:27:32, 1.28s/step] Training: 58%|█████▊ | 40632/70000 [14:23:26<10:33:17, 1.29s/step] Training: 58%|█████▊ | 40633/70000 [14:23:28<10:45:17, 1.32s/step] Training: 58%|█████▊ | 40634/70000 [14:23:29<10:27:16, 1.28s/step] Training: 58%|█████▊ | 40635/70000 [14:23:30<10:12:26, 1.25s/step] Training: 58%|█████▊ | 40636/70000 [14:23:31<10:08:53, 1.24s/step] Training: 58%|█████▊ | 40637/70000 [14:23:33<10:12:25, 1.25s/step] Training: 58%|█████▊ | 40638/70000 [14:23:34<10:03:38, 1.23s/step] Training: 58%|█████▊ | 40639/70000 [14:23:35<10:18:21, 1.26s/step] Training: 58%|█████▊ | 40640/70000 [14:23:37<10:28:12, 1.28s/step] Training: 58%|█████▊ | 40641/70000 [14:23:38<10:19:56, 1.27s/step] Training: 58%|█████▊ | 40642/70000 [14:23:39<10:09:14, 1.25s/step] Training: 58%|█████▊ | 40643/70000 [14:23:40<10:00:33, 1.23s/step] Training: 58%|█████▊ | 40644/70000 [14:23:41<10:13:49, 1.25s/step] Training: 58%|█████▊ | 40645/70000 [14:23:43<10:03:59, 1.23s/step] Training: 58%|█████▊ | 40646/70000 [14:23:44<10:20:57, 1.27s/step] Training: 58%|█████▊ | 40647/70000 [14:23:45<10:12:20, 1.25s/step] Training: 58%|█████▊ | 40648/70000 [14:23:46<10:10:31, 1.25s/step] Training: 58%|█████▊ | 40649/70000 [14:23:48<10:22:40, 1.27s/step] Training: 58%|█████▊ | 40650/70000 [14:23:49<10:10:17, 1.25s/step] Training: 58%|█████▊ | 40651/70000 [14:23:50<10:01:22, 1.23s/step] Training: 58%|█████▊ | 40652/70000 [14:23:52<10:15:56, 1.26s/step] Training: 58%|█████▊ | 40653/70000 [14:23:53<10:29:21, 1.29s/step] Training: 58%|█████▊ | 40654/70000 [14:23:54<10:13:37, 1.25s/step] Training: 58%|█████▊ | 40655/70000 [14:23:55<10:06:51, 1.24s/step] Training: 58%|█████▊ | 40656/70000 [14:23:56<10:02:28, 1.23s/step] Training: 58%|█████▊ | 40657/70000 [14:23:58<10:16:41, 1.26s/step] Training: 58%|█████▊ | 40658/70000 [14:23:59<10:06:50, 1.24s/step] Training: 58%|█████▊ | 40659/70000 [14:24:00<9:59:19, 1.23s/step] Training: 58%|█████▊ | 40660/70000 [14:24:02<10:18:47, 1.27s/step] Training: 58%|█████▊ | 40661/70000 [14:24:03<10:07:18, 1.24s/step] Training: 58%|█████▊ | 40662/70000 [14:24:04<10:24:56, 1.28s/step] Training: 58%|█████▊ | 40663/70000 [14:24:05<10:29:51, 1.29s/step] Training: 58%|█████▊ | 40664/70000 [14:24:07<10:35:32, 1.30s/step] Training: 58%|█████▊ | 40665/70000 [14:24:08<10:25:32, 1.28s/step] Training: 58%|█████▊ | 40666/70000 [14:24:09<10:12:27, 1.25s/step] Training: 58%|█████▊ | 40667/70000 [14:24:10<10:03:13, 1.23s/step] Training: 58%|█████▊ | 40668/70000 [14:24:12<10:01:21, 1.23s/step] Training: 58%|█████▊ | 40669/70000 [14:24:13<9:55:06, 1.22s/step] Training: 58%|█████▊ | 40670/70000 [14:24:14<10:12:57, 1.25s/step] Training: 58%|█████▊ | 40671/70000 [14:24:15<10:23:10, 1.27s/step] Training: 58%|█████▊ | 40672/70000 [14:24:17<10:30:12, 1.29s/step] Training: 58%|█████▊ | 40673/70000 [14:24:18<10:22:57, 1.27s/step] Training: 58%|█████▊ | 40674/70000 [14:24:19<10:11:39, 1.25s/step] Training: 58%|█████▊ | 40675/70000 [14:24:20<10:02:35, 1.23s/step] Training: 58%|█████▊ | 40676/70000 [14:24:22<10:16:25, 1.26s/step] Training: 58%|█████▊ | 40677/70000 [14:24:23<10:05:57, 1.24s/step] Training: 58%|█████▊ | 40678/70000 [14:24:24<9:58:07, 1.22s/step] Training: 58%|█████▊ | 40679/70000 [14:24:25<9:59:12, 1.23s/step] Training: 58%|█████▊ | 40680/70000 [14:24:27<10:00:54, 1.23s/step] Training: 58%|█████▊ | 40681/70000 [14:24:28<10:17:35, 1.26s/step] Training: 58%|█████▊ | 40682/70000 [14:24:29<10:06:52, 1.24s/step] Training: 58%|█████▊ | 40683/70000 [14:24:30<9:59:17, 1.23s/step] Training: 58%|█████▊ | 40684/70000 [14:24:32<10:15:14, 1.26s/step] Training: 58%|█████▊ | 40685/70000 [14:24:33<10:05:18, 1.24s/step] Training: 58%|█████▊ | 40686/70000 [14:24:34<10:03:08, 1.23s/step] Training: 58%|█████▊ | 40687/70000 [14:24:35<10:00:36, 1.23s/step] Training: 58%|█████▊ | 40688/70000 [14:24:36<9:58:53, 1.23s/step] Training: 58%|█████▊ | 40689/70000 [14:24:38<10:15:05, 1.26s/step] Training: 58%|█████▊ | 40690/70000 [14:24:39<10:05:00, 1.24s/step] Training: 58%|█████▊ | 40691/70000 [14:24:40<9:57:50, 1.22s/step] Training: 58%|█████▊ | 40692/70000 [14:24:42<10:16:57, 1.26s/step] Training: 58%|█████▊ | 40693/70000 [14:24:43<10:06:39, 1.24s/step] Training: 58%|█████▊ | 40694/70000 [14:24:44<10:00:23, 1.23s/step] Training: 58%|█████▊ | 40695/70000 [14:24:45<10:26:38, 1.28s/step] Training: 58%|█████▊ | 40696/70000 [14:24:47<10:33:38, 1.30s/step] Training: 58%|█████▊ | 40697/70000 [14:24:48<10:27:01, 1.28s/step] Training: 58%|█████▊ | 40698/70000 [14:24:49<10:12:41, 1.25s/step] Training: 58%|█████▊ | 40699/70000 [14:24:50<10:03:59, 1.24s/step] Training: 58%|█████▊ | 40700/70000 [14:24:51<10:01:59, 1.23s/step]INFO 2026-03-13 10:34:44 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.50 loss:0.012 grdn:1.367 lr:1.0e-05 updt_s:1.231 data_s:0.019 Training: 58%|█████▊ | 40701/70000 [14:24:53<9:58:15, 1.23s/step] Training: 58%|█████▊ | 40702/70000 [14:24:54<9:53:15, 1.21s/step] Training: 58%|█████▊ | 40703/70000 [14:24:55<10:25:51, 1.28s/step] Training: 58%|█████▊ | 40704/70000 [14:24:57<10:33:24, 1.30s/step] Training: 58%|█████▊ | 40705/70000 [14:24:58<10:37:50, 1.31s/step] Training: 58%|█████▊ | 40706/70000 [14:24:59<10:20:38, 1.27s/step] Training: 58%|█████▊ | 40707/70000 [14:25:00<10:08:33, 1.25s/step] Training: 58%|█████▊ | 40708/70000 [14:25:02<10:20:15, 1.27s/step] Training: 58%|█████▊ | 40709/70000 [14:25:03<10:08:31, 1.25s/step] Training: 58%|█████▊ | 40710/70000 [14:25:04<9:59:53, 1.23s/step] Training: 58%|█████▊ | 40711/70000 [14:25:05<10:02:34, 1.23s/step] Training: 58%|█████▊ | 40712/70000 [14:25:07<10:02:16, 1.23s/step] Training: 58%|█████▊ | 40713/70000 [14:25:08<10:17:03, 1.26s/step] Training: 58%|█████▊ | 40714/70000 [14:25:09<10:06:19, 1.24s/step] Training: 58%|█████▊ | 40715/70000 [14:25:10<9:58:32, 1.23s/step] Training: 58%|█████▊ | 40716/70000 [14:25:12<10:13:14, 1.26s/step] Training: 58%|█████▊ | 40717/70000 [14:25:13<10:03:09, 1.24s/step] Training: 58%|█████▊ | 40718/70000 [14:25:14<9:56:15, 1.22s/step] [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=1817 Training: 58%|█████▊ | 40719/70000 [14:25:15<9:59:02, 1.23s/step] Training: 58%|█████▊ | 40720/70000 [14:25:16<9:54:28, 1.22s/step] Training: 58%|█████▊ | 40721/70000 [14:25:18<10:14:18, 1.26s/step] Training: 58%|█████▊ | 40722/70000 [14:25:19<10:06:06, 1.24s/step] Training: 58%|█████▊ | 40723/70000 [14:25:20<9:58:52, 1.23s/step] Training: 58%|█████▊ | 40724/70000 [14:25:21<9:58:32, 1.23s/step] Training: 58%|█████▊ | 40725/70000 [14:25:23<9:52:53, 1.22s/step] Training: 58%|█████▊ | 40726/70000 [14:25:24<9:50:03, 1.21s/step] Training: 58%|█████▊ | 40727/70000 [14:25:25<10:07:22, 1.24s/step] Training: 58%|█████▊ | 40728/70000 [14:25:27<10:38:18, 1.31s/step] Training: 58%|█████▊ | 40729/70000 [14:25:28<10:48:09, 1.33s/step] Training: 58%|█████▊ | 40730/70000 [14:25:29<10:27:47, 1.29s/step] Training: 58%|█████▊ | 40731/70000 [14:25:30<10:13:53, 1.26s/step] Training: 58%|█████▊ | 40732/70000 [14:25:32<10:10:34, 1.25s/step] Training: 58%|█████▊ | 40733/70000 [14:25:33<10:01:21, 1.23s/step] Training: 58%|█████▊ | 40734/70000 [14:25:34<9:55:13, 1.22s/step] Training: 58%|█████▊ | 40735/70000 [14:25:35<10:12:09, 1.26s/step] Training: 58%|█████▊ | 40736/70000 [14:25:37<10:36:50, 1.31s/step] Training: 58%|█████▊ | 40737/70000 [14:25:38<10:30:08, 1.29s/step] Training: 58%|█████▊ | 40738/70000 [14:25:39<10:14:57, 1.26s/step] Training: 58%|█████▊ | 40739/70000 [14:25:40<10:04:41, 1.24s/step] Training: 58%|█████▊ | 40740/70000 [14:25:42<10:17:58, 1.27s/step] Training: 58%|█████▊ | 40741/70000 [14:25:43<10:06:42, 1.24s/step] Training: 58%|█████▊ | 40742/70000 [14:25:44<9:58:24, 1.23s/step] Training: 58%|█████▊ | 40743/70000 [14:25:45<9:57:31, 1.23s/step] Training: 58%|█████▊ | 40744/70000 [14:25:47<10:21:59, 1.28s/step] Training: 58%|█████▊ | 40745/70000 [14:25:48<10:27:44, 1.29s/step] Training: 58%|█████▊ | 40746/70000 [14:25:49<10:13:32, 1.26s/step] Training: 58%|█████▊ | 40747/70000 [14:25:50<10:04:12, 1.24s/step] Training: 58%|█████▊ | 40748/70000 [14:25:52<10:15:31, 1.26s/step] Training: 58%|█████▊ | 40749/70000 [14:25:53<10:04:38, 1.24s/step] Training: 58%|█████▊ | 40750/70000 [14:25:54<9:56:59, 1.22s/step] Training: 58%|█████▊ | 40751/70000 [14:25:55<9:55:29, 1.22s/step] Training: 58%|█████▊ | 40752/70000 [14:25:57<10:16:32, 1.26s/step] Training: 58%|█████▊ | 40753/70000 [14:25:58<10:26:22, 1.29s/step] Training: 58%|█████▊ | 40754/70000 [14:25:59<10:12:51, 1.26s/step] Training: 58%|█████▊ | 40755/70000 [14:26:00<10:03:09, 1.24s/step] Training: 58%|█████▊ | 40756/70000 [14:26:02<10:01:48, 1.23s/step] Training: 58%|█████▊ | 40757/70000 [14:26:03<9:55:22, 1.22s/step] Training: 58%|█████▊ | 40758/70000 [14:26:04<9:50:25, 1.21s/step] Training: 58%|█████▊ | 40759/70000 [14:26:05<10:09:25, 1.25s/step] Training: 58%|█████▊ | 40760/70000 [14:26:07<10:20:41, 1.27s/step] Training: 58%|█████▊ | 40761/70000 [14:26:08<10:45:55, 1.33s/step] Training: 58%|█████▊ | 40762/70000 [14:26:09<10:26:18, 1.29s/step] Training: 58%|█████▊ | 40763/70000 [14:26:10<10:13:10, 1.26s/step] Training: 58%|█████▊ | 40764/70000 [14:26:12<10:11:20, 1.25s/step] Training: 58%|█████▊ | 40765/70000 [14:26:13<10:02:07, 1.24s/step] Training: 58%|█████▊ | 40766/70000 [14:26:14<9:54:52, 1.22s/step] Training: 58%|█████▊ | 40767/70000 [14:26:15<10:10:40, 1.25s/step] Training: 58%|█████▊ | 40768/70000 [14:26:17<10:21:36, 1.28s/step] Training: 58%|█████▊ | 40769/70000 [14:26:18<10:31:23, 1.30s/step] Training: 58%|█████▊ | 40770/70000 [14:26:19<10:14:45, 1.26s/step] Training: 58%|█████▊ | 40771/70000 [14:26:20<10:04:19, 1.24s/step] Training: 58%|█████▊ | 40772/70000 [14:26:22<10:16:20, 1.27s/step] Training: 58%|█████▊ | 40773/70000 [14:26:23<10:05:10, 1.24s/step] Training: 58%|█████▊ | 40774/70000 [14:26:24<9:57:21, 1.23s/step] Training: 58%|█████▊ | 40775/70000 [14:26:25<9:57:40, 1.23s/step] Training: 58%|█████▊ | 40776/70000 [14:26:27<9:57:42, 1.23s/step] Training: 58%|█████▊ | 40777/70000 [14:26:28<10:26:16, 1.29s/step] Training: 58%|█████▊ | 40778/70000 [14:26:29<10:12:35, 1.26s/step] Training: 58%|█████▊ | 40779/70000 [14:26:30<10:02:48, 1.24s/step] Training: 58%|█████▊ | 40780/70000 [14:26:32<10:16:19, 1.27s/step] Training: 58%|█████▊ | 40781/70000 [14:26:33<10:05:26, 1.24s/step] Training: 58%|█████▊ | 40782/70000 [14:26:34<9:57:16, 1.23s/step] Training: 58%|█████▊ | 40783/70000 [14:26:35<9:55:35, 1.22s/step] Training: 58%|█████▊ | 40784/70000 [14:26:37<9:54:03, 1.22s/step] Training: 58%|█████▊ | 40785/70000 [14:26:38<10:14:22, 1.26s/step] Training: 58%|█████▊ | 40786/70000 [14:26:39<10:03:27, 1.24s/step] Training: 58%|█████▊ | 40787/70000 [14:26:40<9:55:49, 1.22s/step] Training: 58%|█████▊ | 40788/70000 [14:26:42<10:20:46, 1.28s/step] Training: 58%|█████▊ | 40789/70000 [14:26:43<10:08:21, 1.25s/step] Training: 58%|█████▊ | 40790/70000 [14:26:44<9:59:24, 1.23s/step] Training: 58%|█████▊ | 40791/70000 [14:26:45<10:14:12, 1.26s/step] Training: 58%|█████▊ | 40792/70000 [14:26:47<10:25:25, 1.28s/step] Training: 58%|█████▊ | 40793/70000 [14:26:48<10:38:44, 1.31s/step] Training: 58%|█████▊ | 40794/70000 [14:26:49<10:21:28, 1.28s/step] Training: 58%|█████▊ | 40795/70000 [14:26:50<10:08:29, 1.25s/step] Training: 58%|█████▊ | 40796/70000 [14:26:52<10:07:39, 1.25s/step] Training: 58%|█████▊ | 40797/70000 [14:26:53<9:58:35, 1.23s/step] Training: 58%|█████▊ | 40798/70000 [14:26:54<9:52:40, 1.22s/step] Training: 58%|█████▊ | 40799/70000 [14:26:55<10:10:15, 1.25s/step] Training: 58%|█████▊ | 40800/70000 [14:26:57<10:22:24, 1.28s/step]INFO 2026-03-13 10:36:49 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.58 loss:0.012 grdn:1.199 lr:9.9e-06 updt_s:1.232 data_s:0.019 Training: 58%|█████▊ | 40801/70000 [14:26:58<10:22:44, 1.28s/step] Training: 58%|█████▊ | 40802/70000 [14:26:59<10:32:04, 1.30s/step] Training: 58%|█████▊ | 40803/70000 [14:27:01<10:15:01, 1.26s/step] Training: 58%|█████▊ | 40804/70000 [14:27:02<10:24:16, 1.28s/step] Training: 58%|█████▊ | 40805/70000 [14:27:03<10:10:20, 1.25s/step] Training: 58%|█████▊ | 40806/70000 [14:27:04<10:00:48, 1.23s/step] Training: 58%|█████▊ | 40807/70000 [14:27:06<9:59:32, 1.23s/step] Training: 58%|█████▊ | 40808/70000 [14:27:07<9:59:40, 1.23s/step] Training: 58%|█████▊ | 40809/70000 [14:27:08<10:14:54, 1.26s/step] Training: 58%|█████▊ | 40810/70000 [14:27:09<10:24:00, 1.28s/step] Training: 58%|█████▊ | 40811/70000 [14:27:11<10:09:27, 1.25s/step] Training: 58%|█████▊ | 40812/70000 [14:27:12<10:22:04, 1.28s/step] Training: 58%|█████▊ | 40813/70000 [14:27:13<10:09:07, 1.25s/step] Training: 58%|█████▊ | 40814/70000 [14:27:14<9:59:49, 1.23s/step] Training: 58%|█████▊ | 40815/70000 [14:27:16<9:55:54, 1.23s/step] Training: 58%|█████▊ | 40816/70000 [14:27:17<9:53:28, 1.22s/step] Training: 58%|█████▊ | 40817/70000 [14:27:18<10:09:58, 1.25s/step] Training: 58%|█████▊ | 40818/70000 [14:27:19<10:25:56, 1.29s/step] Training: 58%|█████▊ | 40819/70000 [14:27:21<10:11:27, 1.26s/step] Training: 58%|█████▊ | 40820/70000 [14:27:22<10:27:34, 1.29s/step] Training: 58%|█████▊ | 40821/70000 [14:27:23<10:13:01, 1.26s/step] Training: 58%|█████▊ | 40822/70000 [14:27:24<10:02:23, 1.24s/step] Training: 58%|█████▊ | 40823/70000 [14:27:26<10:15:52, 1.27s/step] Training: 58%|█████▊ | 40824/70000 [14:27:27<10:24:35, 1.28s/step] Training: 58%|█████▊ | 40825/70000 [14:27:28<10:36:10, 1.31s/step] Training: 58%|█████▊ | 40826/70000 [14:27:30<10:18:55, 1.27s/step] Training: 58%|█████▊ | 40827/70000 [14:27:31<10:29:47, 1.30s/step] Training: 58%|█████▊ | 40828/70000 [14:27:32<10:19:35, 1.27s/step] Training: 58%|█████▊ | 40829/70000 [14:27:33<10:06:57, 1.25s/step] Training: 58%|█████▊ | 40830/70000 [14:27:35<9:57:58, 1.23s/step] Training: 58%|█████▊ | 40831/70000 [14:27:36<10:12:47, 1.26s/step] Training: 58%|█████▊ | 40832/70000 [14:27:37<10:24:12, 1.28s/step] Training: 58%|█████▊ | 40833/70000 [14:27:38<10:22:14, 1.28s/step] Training: 58%|█████▊ | 40834/70000 [14:27:40<10:09:31, 1.25s/step] Training: 58%|█████▊ | 40835/70000 [14:27:41<10:22:00, 1.28s/step] Training: 58%|█████▊ | 40836/70000 [14:27:42<10:28:11, 1.29s/step] Training: 58%|█████▊ | 40837/70000 [14:27:44<10:12:59, 1.26s/step] Training: 58%|█████▊ | 40838/70000 [14:27:45<10:01:51, 1.24s/step] Training: 58%|█████▊ | 40839/70000 [14:27:46<10:00:38, 1.24s/step] Training: 58%|█████▊ | 40840/70000 [14:27:47<9:59:23, 1.23s/step] Training: 58%|█████▊ | 40841/70000 [14:27:48<10:16:09, 1.27s/step] Training: 58%|█████▊ | 40842/70000 [14:27:50<10:04:41, 1.24s/step] Training: 58%|█████▊ | 40843/70000 [14:27:51<9:56:15, 1.23s/step] Training: 58%|█████▊ | 40844/70000 [14:27:52<10:11:27, 1.26s/step] Training: 58%|█████▊ | 40845/70000 [14:27:53<10:00:58, 1.24s/step] Training: 58%|█████▊ | 40846/70000 [14:27:55<9:54:00, 1.22s/step] Training: 58%|█████▊ | 40847/70000 [14:27:56<9:52:20, 1.22s/step] Training: 58%|█████▊ | 40848/70000 [14:27:57<9:50:11, 1.21s/step] Training: 58%|█████▊ | 40849/70000 [14:27:58<10:05:53, 1.25s/step] Training: 58%|█████▊ | 40850/70000 [14:28:00<9:57:34, 1.23s/step] Training: 58%|█████▊ | 40851/70000 [14:28:01<10:12:13, 1.26s/step] Training: 58%|█████▊ | 40852/70000 [14:28:02<10:26:41, 1.29s/step] Training: 58%|█████▊ | 40853/70000 [14:28:03<10:11:38, 1.26s/step] Training: 58%|█████▊ | 40854/70000 [14:28:05<10:01:06, 1.24s/step] Training: 58%|█████▊ | 40855/70000 [14:28:06<10:14:13, 1.26s/step] Training: 58%|█████▊ | 40856/70000 [14:28:07<10:22:45, 1.28s/step] Training: 58%|█████▊ | 40857/70000 [14:28:09<10:37:42, 1.31s/step] Training: 58%|█████▊ | 40858/70000 [14:28:10<10:20:27, 1.28s/step] Training: 58%|█████▊ | 40859/70000 [14:28:11<10:31:34, 1.30s/step] Training: 58%|█████▊ | 40860/70000 [14:28:12<10:16:27, 1.27s/step] Training: 58%|█████▊ | 40861/70000 [14:28:14<10:04:39, 1.25s/step] Training: 58%|█████▊ | 40862/70000 [14:28:15<9:56:38, 1.23s/step] Training: 58%|█████▊ | 40863/70000 [14:28:16<10:12:46, 1.26s/step] Training: 58%|█████▊ | 40864/70000 [14:28:17<10:22:16, 1.28s/step] Training: 58%|█████▊ | 40865/70000 [14:28:19<10:16:27, 1.27s/step] Training: 58%|█████▊ | 40866/70000 [14:28:20<10:05:29, 1.25s/step] Training: 58%|█████▊ | 40867/70000 [14:28:21<10:04:13, 1.24s/step] Training: 58%|█████▊ | 40868/70000 [14:28:22<10:14:23, 1.27s/step] Training: 58%|█████▊ | 40869/70000 [14:28:24<10:03:33, 1.24s/step] Training: 58%|█████▊ | 40870/70000 [14:28:25<9:55:15, 1.23s/step] Training: 58%|█████▊ | 40871/70000 [14:28:26<9:56:30, 1.23s/step] Training: 58%|█████▊ | 40872/70000 [14:28:27<9:55:46, 1.23s/step] Training: 58%|█████▊ | 40873/70000 [14:28:29<10:10:25, 1.26s/step] Training: 58%|█████▊ | 40874/70000 [14:28:30<10:00:56, 1.24s/step] Training: 58%|█████▊ | 40875/70000 [14:28:31<9:54:28, 1.22s/step] Training: 58%|█████▊ | 40876/70000 [14:28:32<10:27:08, 1.29s/step] Training: 58%|█████▊ | 40877/70000 [14:28:34<10:12:15, 1.26s/step] Training: 58%|█████▊ | 40878/70000 [14:28:35<10:01:09, 1.24s/step] Training: 58%|█████▊ | 40879/70000 [14:28:36<9:58:51, 1.23s/step] Training: 58%|█████▊ | 40880/70000 [14:28:37<9:56:41, 1.23s/step] Training: 58%|█████▊ | 40881/70000 [14:28:39<10:12:16, 1.26s/step] Training: 58%|█████▊ | 40882/70000 [14:28:40<10:22:13, 1.28s/step] Training: 58%|█████▊ | 40883/70000 [14:28:41<10:08:57, 1.25s/step] Training: 58%|█████▊ | 40884/70000 [14:28:42<10:18:16, 1.27s/step] Training: 58%|█████▊ | 40885/70000 [14:28:44<10:04:26, 1.25s/step] Training: 58%|█████▊ | 40886/70000 [14:28:45<9:56:14, 1.23s/step] Training: 58%|█████▊ | 40887/70000 [14:28:46<10:09:45, 1.26s/step] Training: 58%|█████▊ | 40888/70000 [14:28:47<10:22:11, 1.28s/step] Training: 58%|█████▊ | 40889/70000 [14:28:49<10:14:33, 1.27s/step] Training: 58%|█████▊ | 40890/70000 [14:28:50<10:14:04, 1.27s/step] Training: 58%|█████▊ | 40891/70000 [14:28:51<10:03:25, 1.24s/step] Training: 58%|█████▊ | 40892/70000 [14:28:53<10:33:34, 1.31s/step] Training: 58%|█████▊ | 40893/70000 [14:28:54<10:14:48, 1.27s/step] Training: 58%|█████▊ | 40894/70000 [14:28:55<10:03:45, 1.24s/step] Training: 58%|█████▊ | 40895/70000 [14:28:56<10:15:34, 1.27s/step] Training: 58%|█████▊ | 40896/70000 [14:28:58<10:24:21, 1.29s/step] Training: 58%|█████▊ | 40897/70000 [14:28:59<10:17:25, 1.27s/step] Training: 58%|█████▊ | 40898/70000 [14:29:00<10:11:26, 1.26s/step] Training: 58%|█████▊ | 40899/70000 [14:29:01<10:02:20, 1.24s/step] Training: 58%|█████▊ | 40900/70000 [14:29:03<10:14:23, 1.27s/step]INFO 2026-03-13 10:38:55 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.67 loss:0.012 grdn:1.006 lr:9.9e-06 updt_s:1.237 data_s:0.019 Training: 58%|█████▊ | 40901/70000 [14:29:04<10:25:31, 1.29s/step] Training: 58%|█████▊ | 40902/70000 [14:29:05<10:09:58, 1.26s/step] Training: 58%|█████▊ | 40903/70000 [14:29:06<10:06:09, 1.25s/step] Training: 58%|█████▊ | 40904/70000 [14:29:08<10:02:29, 1.24s/step] Training: 58%|█████▊ | 40905/70000 [14:29:09<10:15:58, 1.27s/step] Training: 58%|█████▊ | 40906/70000 [14:29:10<10:26:49, 1.29s/step] Training: 58%|█████▊ | 40907/70000 [14:29:11<10:12:14, 1.26s/step] Training: 58%|█████▊ | 40908/70000 [14:29:13<10:22:27, 1.28s/step] Training: 58%|█████▊ | 40909/70000 [14:29:14<10:31:59, 1.30s/step] Training: 58%|█████▊ | 40910/70000 [14:29:15<10:14:12, 1.27s/step] Training: 58%|█████▊ | 40911/70000 [14:29:17<10:07:56, 1.25s/step] Training: 58%|█████▊ | 40912/70000 [14:29:18<10:03:07, 1.24s/step] Training: 58%|█████▊ | 40913/70000 [14:29:19<10:15:58, 1.27s/step] Training: 58%|█████▊ | 40914/70000 [14:29:20<10:24:42, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=1817 Training: 58%|█████▊ | 40915/70000 [14:29:22<10:10:23, 1.26s/step] Training: 58%|█████▊ | 40916/70000 [14:29:23<10:22:29, 1.28s/step] Training: 58%|█████▊ | 40917/70000 [14:29:24<10:08:28, 1.26s/step] Training: 58%|█████▊ | 40918/70000 [14:29:25<9:58:55, 1.24s/step] Training: 58%|█████▊ | 40919/70000 [14:29:27<10:12:03, 1.26s/step] Training: 58%|█████▊ | 40920/70000 [14:29:28<10:20:48, 1.28s/step] Training: 58%|█████▊ | 40921/70000 [14:29:29<10:16:27, 1.27s/step] Training: 58%|█████▊ | 40922/70000 [14:29:31<10:27:10, 1.29s/step] Training: 58%|█████▊ | 40923/70000 [14:29:32<10:13:05, 1.27s/step] Training: 58%|█████▊ | 40924/70000 [14:29:33<10:21:42, 1.28s/step] Training: 58%|█████▊ | 40925/70000 [14:29:34<10:29:47, 1.30s/step] Training: 58%|█████▊ | 40926/70000 [14:29:36<10:12:34, 1.26s/step] Training: 58%|█████▊ | 40927/70000 [14:29:37<10:22:29, 1.28s/step] Training: 58%|█████▊ | 40928/70000 [14:29:38<10:29:08, 1.30s/step] Training: 58%|█████▊ | 40929/70000 [14:29:39<10:17:42, 1.27s/step] Training: 58%|█████▊ | 40930/70000 [14:29:41<10:10:19, 1.26s/step] Training: 58%|█████▊ | 40931/70000 [14:29:42<10:00:09, 1.24s/step] Training: 58%|█████▊ | 40932/70000 [14:29:43<10:13:17, 1.27s/step] Training: 58%|█████▊ | 40933/70000 [14:29:44<10:12:26, 1.26s/step] Training: 58%|█████▊ | 40934/70000 [14:29:46<10:00:18, 1.24s/step] Training: 58%|█████▊ | 40935/70000 [14:29:47<9:54:55, 1.23s/step] Training: 58%|█████▊ | 40936/70000 [14:29:48<9:55:02, 1.23s/step] Training: 58%|█████▊ | 40937/70000 [14:29:49<10:09:51, 1.26s/step] Training: 58%|█████▊ | 40938/70000 [14:29:51<10:19:47, 1.28s/step] Training: 58%|█████▊ | 40939/70000 [14:29:52<10:06:51, 1.25s/step] Training: 58%|█████▊ | 40940/70000 [14:29:53<10:18:42, 1.28s/step] Training: 58%|█████▊ | 40941/70000 [14:29:54<10:05:29, 1.25s/step] Training: 58%|█████▊ | 40942/70000 [14:29:56<10:20:36, 1.28s/step] Training: 58%|█████▊ | 40943/70000 [14:29:57<10:25:39, 1.29s/step] Training: 58%|█████▊ | 40944/70000 [14:29:58<10:13:29, 1.27s/step] Training: 58%|█████▊ | 40945/70000 [14:30:00<10:22:58, 1.29s/step] Training: 58%|█████▊ | 40946/70000 [14:30:01<10:29:03, 1.30s/step] Training: 58%|█████▊ | 40947/70000 [14:30:02<10:13:56, 1.27s/step] Training: 58%|█████▊ | 40948/70000 [14:30:04<10:23:42, 1.29s/step] Training: 58%|█████▊ | 40949/70000 [14:30:05<10:09:59, 1.26s/step] Training: 58%|█████▊ | 40950/70000 [14:30:06<10:09:27, 1.26s/step] Training: 59%|█████▊ | 40951/70000 [14:30:07<10:03:23, 1.25s/step] Training: 59%|█████▊ | 40952/70000 [14:30:09<10:15:25, 1.27s/step] Training: 59%|█████▊ | 40953/70000 [14:30:10<10:10:44, 1.26s/step] Training: 59%|█████▊ | 40954/70000 [14:30:11<10:23:25, 1.29s/step] Training: 59%|█████▊ | 40955/70000 [14:30:12<10:12:52, 1.27s/step] Training: 59%|█████▊ | 40956/70000 [14:30:14<10:22:36, 1.29s/step] Training: 59%|█████▊ | 40957/70000 [14:30:15<10:08:29, 1.26s/step] Training: 59%|█████▊ | 40958/70000 [14:30:16<9:59:39, 1.24s/step] Training: 59%|█████▊ | 40959/70000 [14:30:17<10:28:18, 1.30s/step] Training: 59%|█████▊ | 40960/70000 [14:30:19<10:33:35, 1.31s/step] Training: 59%|█████▊ | 40961/70000 [14:30:20<10:18:56, 1.28s/step] Training: 59%|█████▊ | 40962/70000 [14:30:21<10:09:03, 1.26s/step] Training: 59%|█████▊ | 40963/70000 [14:30:22<9:59:14, 1.24s/step] Training: 59%|█████▊ | 40964/70000 [14:30:24<10:10:31, 1.26s/step] Training: 59%|█████▊ | 40965/70000 [14:30:25<9:59:57, 1.24s/step] Training: 59%|█████▊ | 40966/70000 [14:30:26<10:17:04, 1.28s/step] Training: 59%|█████▊ | 40967/70000 [14:30:28<10:23:20, 1.29s/step] Training: 59%|█████▊ | 40968/70000 [14:30:29<10:13:43, 1.27s/step] Training: 59%|█████▊ | 40969/70000 [14:30:30<10:22:16, 1.29s/step] Training: 59%|█████▊ | 40970/70000 [14:30:31<10:27:51, 1.30s/step] Training: 59%|█████▊ | 40971/70000 [14:30:33<10:12:30, 1.27s/step] Training: 59%|█████▊ | 40972/70000 [14:30:34<10:21:45, 1.29s/step] Training: 59%|█████▊ | 40973/70000 [14:30:35<10:08:01, 1.26s/step] Training: 59%|█████▊ | 40974/70000 [14:30:36<9:57:51, 1.24s/step] Training: 59%|█████▊ | 40975/70000 [14:30:38<10:26:19, 1.29s/step] Training: 59%|█████▊ | 40976/70000 [14:30:39<10:13:44, 1.27s/step] Training: 59%|█████▊ | 40977/70000 [14:30:40<10:21:40, 1.29s/step] Training: 59%|█████▊ | 40978/70000 [14:30:42<10:28:28, 1.30s/step] Training: 59%|█████▊ | 40979/70000 [14:30:43<10:12:35, 1.27s/step] Training: 59%|█████▊ | 40980/70000 [14:30:44<10:21:37, 1.29s/step] Training: 59%|█████▊ | 40981/70000 [14:30:45<10:07:53, 1.26s/step] Training: 59%|█████▊ | 40982/70000 [14:30:47<9:58:09, 1.24s/step] Training: 59%|█████▊ | 40983/70000 [14:30:48<10:14:26, 1.27s/step] Training: 59%|█████▊ | 40984/70000 [14:30:49<10:20:38, 1.28s/step] Training: 59%|█████▊ | 40985/70000 [14:30:50<10:13:03, 1.27s/step] Training: 59%|█████▊ | 40986/70000 [14:30:52<10:21:35, 1.29s/step] Training: 59%|█████▊ | 40987/70000 [14:30:53<10:07:42, 1.26s/step] Training: 59%|█████▊ | 40988/70000 [14:30:54<10:17:50, 1.28s/step] Training: 59%|█████▊ | 40989/70000 [14:30:56<10:04:35, 1.25s/step] Training: 59%|█████▊ | 40990/70000 [14:30:57<9:55:23, 1.23s/step] Training: 59%|█████▊ | 40991/70000 [14:30:58<10:09:25, 1.26s/step] Training: 59%|█████▊ | 40992/70000 [14:30:59<10:21:51, 1.29s/step] Training: 59%|█████▊ | 40993/70000 [14:31:01<10:10:24, 1.26s/step] Training: 59%|█████▊ | 40994/70000 [14:31:02<10:03:12, 1.25s/step] Training: 59%|█████▊ | 40995/70000 [14:31:03<9:54:54, 1.23s/step] Training: 59%|█████▊ | 40996/70000 [14:31:04<10:07:23, 1.26s/step] Training: 59%|█████▊ | 40997/70000 [14:31:05<9:57:30, 1.24s/step] Training: 59%|█████▊ | 40998/70000 [14:31:07<9:50:19, 1.22s/step] Training: 59%|█████▊ | 40999/70000 [14:31:08<10:13:23, 1.27s/step] Training: 59%|█████▊ | 41000/70000 [14:31:09<10:08:17, 1.26s/step]INFO 2026-03-13 10:41:01 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.75 loss:0.012 grdn:1.430 lr:9.8e-06 updt_s:1.246 data_s:0.019 Training: 59%|█████▊ | 41001/70000 [14:31:11<10:18:22, 1.28s/step] Training: 59%|█████▊ | 41002/70000 [14:31:12<10:27:04, 1.30s/step] Training: 59%|█████▊ | 41003/70000 [14:31:13<10:11:35, 1.27s/step] Training: 59%|█████▊ | 41004/70000 [14:31:14<10:19:59, 1.28s/step] Training: 59%|█████▊ | 41005/70000 [14:31:16<10:06:44, 1.26s/step] Training: 59%|█████▊ | 41006/70000 [14:31:17<9:58:08, 1.24s/step] Training: 59%|█████▊ | 41007/70000 [14:31:18<10:12:01, 1.27s/step] Training: 59%|█████▊ | 41008/70000 [14:31:19<10:04:22, 1.25s/step] Training: 59%|█████▊ | 41009/70000 [14:31:21<10:17:01, 1.28s/step] Training: 59%|█████▊ | 41010/70000 [14:31:22<10:24:38, 1.29s/step] Training: 59%|█████▊ | 41011/70000 [14:31:23<10:10:15, 1.26s/step] Training: 59%|█████▊ | 41012/70000 [14:31:25<10:18:28, 1.28s/step] Training: 59%|█████▊ | 41013/70000 [14:31:26<10:07:11, 1.26s/step] Training: 59%|█████▊ | 41014/70000 [14:31:27<9:57:29, 1.24s/step] Training: 59%|█████▊ | 41015/70000 [14:31:28<9:53:19, 1.23s/step] Training: 59%|█████▊ | 41016/70000 [14:31:30<10:27:54, 1.30s/step] Training: 59%|█████▊ | 41017/70000 [14:31:31<10:19:33, 1.28s/step] Training: 59%|█████▊ | 41018/70000 [14:31:32<10:27:14, 1.30s/step] Training: 59%|█████▊ | 41019/70000 [14:31:33<10:12:23, 1.27s/step] Training: 59%|█████▊ | 41020/70000 [14:31:35<10:25:03, 1.29s/step] Training: 59%|█████▊ | 41021/70000 [14:31:36<10:09:40, 1.26s/step] Training: 59%|█████▊ | 41022/70000 [14:31:37<9:58:33, 1.24s/step] Training: 59%|█████▊ | 41023/70000 [14:31:38<10:12:10, 1.27s/step] Training: 59%|█████▊ | 41024/70000 [14:31:40<10:30:45, 1.31s/step] Training: 59%|█████▊ | 41025/70000 [14:31:41<10:16:56, 1.28s/step] Training: 59%|█████▊ | 41026/70000 [14:31:42<10:08:21, 1.26s/step] Training: 59%|█████▊ | 41027/70000 [14:31:44<9:58:07, 1.24s/step] Training: 59%|█████▊ | 41028/70000 [14:31:45<10:10:44, 1.26s/step] Training: 59%|█████▊ | 41029/70000 [14:31:46<10:00:06, 1.24s/step] Training: 59%|█████▊ | 41030/70000 [14:31:47<9:52:23, 1.23s/step] Training: 59%|█████▊ | 41031/70000 [14:31:49<10:09:48, 1.26s/step] Training: 59%|█████▊ | 41032/70000 [14:31:50<10:04:54, 1.25s/step] Training: 59%|█████▊ | 41033/70000 [14:31:51<10:35:01, 1.32s/step] Training: 59%|█████▊ | 41034/70000 [14:31:53<10:37:21, 1.32s/step] Training: 59%|█████▊ | 41035/70000 [14:31:54<10:18:10, 1.28s/step] Training: 59%|█████▊ | 41036/70000 [14:31:55<10:28:10, 1.30s/step] Training: 59%|█████▊ | 41037/70000 [14:31:56<10:12:31, 1.27s/step] Training: 59%|█████▊ | 41038/70000 [14:31:58<10:00:47, 1.24s/step] Training: 59%|█████▊ | 41039/70000 [14:31:59<9:58:22, 1.24s/step] Training: 59%|█████▊ | 41040/70000 [14:32:00<10:14:15, 1.27s/step] Training: 59%|█████▊ | 41041/70000 [14:32:01<10:22:38, 1.29s/step] Training: 59%|█████▊ | 41042/70000 [14:32:03<10:27:47, 1.30s/step] Training: 59%|█████▊ | 41043/70000 [14:32:04<10:12:05, 1.27s/step] Training: 59%|█████▊ | 41044/70000 [14:32:05<10:21:38, 1.29s/step] Training: 59%|█████▊ | 41045/70000 [14:32:06<10:07:51, 1.26s/step] Training: 59%|█████▊ | 41046/70000 [14:32:08<9:57:53, 1.24s/step] Training: 59%|█████▊ | 41047/70000 [14:32:09<9:55:07, 1.23s/step] Training: 59%|█████▊ | 41048/70000 [14:32:10<10:08:43, 1.26s/step] Training: 59%|█████▊ | 41049/70000 [14:32:12<10:19:26, 1.28s/step] Training: 59%|█████▊ | 41050/70000 [14:32:13<10:25:50, 1.30s/step] Training: 59%|█████▊ | 41051/70000 [14:32:14<10:10:54, 1.27s/step] Training: 59%|█████▊ | 41052/70000 [14:32:15<10:26:13, 1.30s/step] Training: 59%|█████▊ | 41053/70000 [14:32:17<10:10:58, 1.27s/step] Training: 59%|█████▊ | 41054/70000 [14:32:18<10:00:09, 1.24s/step] Training: 59%|█████▊ | 41055/70000 [14:32:19<10:12:39, 1.27s/step] Training: 59%|█████▊ | 41056/70000 [14:32:20<10:20:41, 1.29s/step] Training: 59%|█████▊ | 41057/70000 [14:32:22<10:28:43, 1.30s/step] Training: 59%|█████▊ | 41058/70000 [14:32:23<10:14:51, 1.27s/step] Training: 59%|█████▊ | 41059/70000 [14:32:24<10:03:00, 1.25s/step] Training: 59%|█████▊ | 41060/70000 [14:32:26<10:14:20, 1.27s/step] Training: 59%|█████▊ | 41061/70000 [14:32:27<10:02:56, 1.25s/step] Training: 59%|█████▊ | 41062/70000 [14:32:28<9:53:56, 1.23s/step] Training: 59%|█████▊ | 41063/70000 [14:32:29<10:09:01, 1.26s/step] Training: 59%|█████▊ | 41064/70000 [14:32:30<10:05:05, 1.25s/step] Training: 59%|█████▊ | 41065/70000 [14:32:32<10:16:29, 1.28s/step] Training: 59%|█████▊ | 41066/70000 [14:32:33<10:24:45, 1.30s/step] Training: 59%|█████▊ | 41067/70000 [14:32:34<10:09:21, 1.26s/step] Training: 59%|█████▊ | 41068/70000 [14:32:36<10:20:19, 1.29s/step] Training: 59%|█████▊ | 41069/70000 [14:32:37<10:06:40, 1.26s/step] Training: 59%|█████▊ | 41070/70000 [14:32:38<9:56:51, 1.24s/step] Training: 59%|█████▊ | 41071/70000 [14:32:39<9:55:55, 1.24s/step] Training: 59%|█████▊ | 41072/70000 [14:32:41<9:51:17, 1.23s/step] Training: 59%|█████▊ | 41073/70000 [14:32:42<10:12:37, 1.27s/step] Training: 59%|█████▊ | 41074/70000 [14:32:43<10:20:53, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=1817 Training: 59%|█████▊ | 41075/70000 [14:32:44<10:06:41, 1.26s/step] Training: 59%|█████▊ | 41076/70000 [14:32:46<10:16:41, 1.28s/step] Training: 59%|█████▊ | 41077/70000 [14:32:47<10:03:54, 1.25s/step] Training: 59%|█████▊ | 41078/70000 [14:32:48<9:54:47, 1.23s/step] Training: 59%|█████▊ | 41079/70000 [14:32:49<9:50:44, 1.23s/step] Training: 59%|█████▊ | 41080/70000 [14:32:51<10:06:18, 1.26s/step] Training: 59%|█████▊ | 41081/70000 [14:32:52<10:12:33, 1.27s/step] Training: 59%|█████▊ | 41082/70000 [14:32:53<10:20:14, 1.29s/step] Training: 59%|█████▊ | 41083/70000 [14:32:54<10:06:06, 1.26s/step] Training: 59%|█████▊ | 41084/70000 [14:32:56<10:21:40, 1.29s/step] Training: 59%|█████▊ | 41085/70000 [14:32:57<10:07:21, 1.26s/step] Training: 59%|█████▊ | 41086/70000 [14:32:58<9:56:49, 1.24s/step] Training: 59%|█████▊ | 41087/70000 [14:33:00<10:10:42, 1.27s/step] Training: 59%|█████▊ | 41088/70000 [14:33:01<10:20:44, 1.29s/step] Training: 59%|█████▊ | 41089/70000 [14:33:02<10:10:13, 1.27s/step] Training: 59%|█████▊ | 41090/70000 [14:33:03<10:20:57, 1.29s/step] Training: 59%|█████▊ | 41091/70000 [14:33:05<10:05:35, 1.26s/step] Training: 59%|█████▊ | 41092/70000 [14:33:06<10:14:52, 1.28s/step] Training: 59%|█████▊ | 41093/70000 [14:33:07<10:01:56, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=46143 Training: 59%|█████▊ | 41094/70000 [14:33:08<9:53:03, 1.23s/step] Training: 59%|█████▊ | 41095/70000 [14:33:10<10:07:09, 1.26s/step] Training: 59%|█████▊ | 41096/70000 [14:33:11<10:01:44, 1.25s/step] Training: 59%|█████▊ | 41097/70000 [14:33:12<10:13:25, 1.27s/step] Training: 59%|█████▊ | 41098/70000 [14:33:14<10:32:13, 1.31s/step] Training: 59%|█████▊ | 41099/70000 [14:33:15<10:14:06, 1.27s/step] Training: 59%|█████▊ | 41100/70000 [14:33:16<10:21:53, 1.29s/step]INFO 2026-03-13 10:43:08 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.84 loss:0.012 grdn:1.494 lr:9.8e-06 updt_s:1.247 data_s:0.019 Training: 59%|█████▊ | 41101/70000 [14:33:17<10:07:12, 1.26s/step] Training: 59%|█████▊ | 41102/70000 [14:33:18<9:56:25, 1.24s/step] Training: 59%|█████▊ | 41103/70000 [14:33:20<9:55:08, 1.24s/step] Training: 59%|█████▊ | 41104/70000 [14:33:21<9:50:28, 1.23s/step] Training: 59%|█████▊ | 41105/70000 [14:33:22<10:06:40, 1.26s/step] Training: 59%|█████▊ | 41106/70000 [14:33:24<10:16:18, 1.28s/step] Training: 59%|█████▊ | 41107/70000 [14:33:25<10:26:00, 1.30s/step] Training: 59%|█████▊ | 41108/70000 [14:33:26<10:27:27, 1.30s/step] Training: 59%|█████▊ | 41109/70000 [14:33:27<10:11:07, 1.27s/step] Training: 59%|█████▊ | 41110/70000 [14:33:29<9:59:14, 1.24s/step] Training: 59%|█████▊ | 41111/70000 [14:33:30<9:53:57, 1.23s/step] Training: 59%|█████▊ | 41112/70000 [14:33:31<10:07:37, 1.26s/step] Training: 59%|█████▊ | 41113/70000 [14:33:32<10:02:40, 1.25s/step] Training: 59%|█████▊ | 41114/70000 [14:33:34<10:17:48, 1.28s/step] Training: 59%|█████▊ | 41115/70000 [14:33:35<10:02:27, 1.25s/step] Training: 59%|█████▊ | 41116/70000 [14:33:36<10:18:44, 1.29s/step] Training: 59%|█████▊ | 41117/70000 [14:33:37<10:04:38, 1.26s/step] Training: 59%|█████▊ | 41118/70000 [14:33:39<9:54:56, 1.24s/step] Training: 59%|█████▊ | 41119/70000 [14:33:40<10:07:48, 1.26s/step] Training: 59%|█████▊ | 41120/70000 [14:33:41<10:18:10, 1.28s/step] Training: 59%|█████▊ | 41121/70000 [14:33:43<10:09:15, 1.27s/step] Training: 59%|█████▊ | 41122/70000 [14:33:44<10:00:55, 1.25s/step] Training: 59%|█████▊ | 41123/70000 [14:33:45<10:15:16, 1.28s/step] Training: 59%|█████▊ | 41124/70000 [14:33:46<10:20:31, 1.29s/step] Training: 59%|█████▉ | 41125/70000 [14:33:48<10:06:11, 1.26s/step] Training: 59%|█████▉ | 41126/70000 [14:33:49<9:55:49, 1.24s/step] Training: 59%|█████▉ | 41127/70000 [14:33:50<10:09:26, 1.27s/step] Training: 59%|█████▉ | 41128/70000 [14:33:51<10:06:36, 1.26s/step] Training: 59%|█████▉ | 41129/70000 [14:33:53<10:17:03, 1.28s/step] Training: 59%|█████▉ | 41130/70000 [14:33:54<10:24:41, 1.30s/step] Training: 59%|█████▉ | 41131/70000 [14:33:55<10:32:04, 1.31s/step] Training: 59%|█████▉ | 41132/70000 [14:33:57<10:33:48, 1.32s/step] Training: 59%|█████▉ | 41133/70000 [14:33:58<10:15:22, 1.28s/step] Training: 59%|█████▉ | 41134/70000 [14:33:59<10:02:11, 1.25s/step] Training: 59%|█████▉ | 41135/70000 [14:34:00<9:57:48, 1.24s/step] Training: 59%|█████▉ | 41136/70000 [14:34:02<9:53:01, 1.23s/step] Training: 59%|█████▉ | 41137/70000 [14:34:03<10:08:11, 1.26s/step] Training: 59%|█████▉ | 41138/70000 [14:34:04<10:17:34, 1.28s/step] Training: 59%|█████▉ | 41139/70000 [14:34:05<10:04:33, 1.26s/step] Training: 59%|█████▉ | 41140/70000 [14:34:07<10:15:17, 1.28s/step] Training: 59%|█████▉ | 41141/70000 [14:34:08<10:02:48, 1.25s/step] Training: 59%|█████▉ | 41142/70000 [14:34:09<9:53:56, 1.23s/step] Training: 59%|█████▉ | 41143/70000 [14:34:10<9:50:11, 1.23s/step] Training: 59%|█████▉ | 41144/70000 [14:34:12<10:04:51, 1.26s/step] Training: 59%|█████▉ | 41145/70000 [14:34:13<10:01:47, 1.25s/step] Training: 59%|█████▉ | 41146/70000 [14:34:14<10:13:23, 1.28s/step] Training: 59%|█████▉ | 41147/70000 [14:34:15<10:10:16, 1.27s/step] Training: 59%|█████▉ | 41148/70000 [14:34:17<10:22:28, 1.29s/step] Training: 59%|█████▉ | 41149/70000 [14:34:18<10:07:30, 1.26s/step] Training: 59%|█████▉ | 41150/70000 [14:34:19<9:57:00, 1.24s/step] Training: 59%|█████▉ | 41151/70000 [14:34:21<10:09:27, 1.27s/step] Training: 59%|█████▉ | 41152/70000 [14:34:22<10:17:46, 1.28s/step] Training: 59%|█████▉ | 41153/70000 [14:34:23<10:08:34, 1.27s/step] Training: 59%|█████▉ | 41154/70000 [14:34:24<10:02:20, 1.25s/step] Training: 59%|█████▉ | 41155/70000 [14:34:26<10:01:23, 1.25s/step] Training: 59%|█████▉ | 41156/70000 [14:34:27<10:09:44, 1.27s/step] Training: 59%|█████▉ | 41157/70000 [14:34:28<9:57:58, 1.24s/step] Training: 59%|█████▉ | 41158/70000 [14:34:29<9:50:08, 1.23s/step] Training: 59%|█████▉ | 41159/70000 [14:34:31<10:04:01, 1.26s/step] Training: 59%|█████▉ | 41160/70000 [14:34:32<10:00:26, 1.25s/step] Training: 59%|█████▉ | 41161/70000 [14:34:33<10:13:40, 1.28s/step] Training: 59%|█████▉ | 41162/70000 [14:34:34<10:23:44, 1.30s/step] Training: 59%|█████▉ | 41163/70000 [14:34:36<10:09:05, 1.27s/step] Training: 59%|█████▉ | 41164/70000 [14:34:37<10:18:28, 1.29s/step] Training: 59%|█████▉ | 41165/70000 [14:34:38<10:11:51, 1.27s/step] Training: 59%|█████▉ | 41166/70000 [14:34:39<9:59:37, 1.25s/step] Training: 59%|█████▉ | 41167/70000 [14:34:41<9:56:08, 1.24s/step] Training: 59%|█████▉ | 41168/70000 [14:34:42<9:51:30, 1.23s/step] Training: 59%|█████▉ | 41169/70000 [14:34:43<10:05:28, 1.26s/step] Training: 59%|█████▉ | 41170/70000 [14:34:45<10:16:46, 1.28s/step] Training: 59%|█████▉ | 41171/70000 [14:34:46<10:03:44, 1.26s/step] Training: 59%|█████▉ | 41172/70000 [14:34:47<10:33:29, 1.32s/step] Training: 59%|█████▉ | 41173/70000 [14:34:48<10:15:29, 1.28s/step] Training: 59%|█████▉ | 41174/70000 [14:34:50<10:02:09, 1.25s/step] Training: 59%|█████▉ | 41175/70000 [14:34:51<9:55:23, 1.24s/step] Training: 59%|█████▉ | 41176/70000 [14:34:52<10:08:05, 1.27s/step] Training: 59%|█████▉ | 41177/70000 [14:34:53<10:01:58, 1.25s/step] Training: 59%|█████▉ | 41178/70000 [14:34:55<10:14:13, 1.28s/step] Training: 59%|█████▉ | 41179/70000 [14:34:56<10:02:39, 1.25s/step] Training: 59%|█████▉ | 41180/70000 [14:34:57<10:24:25, 1.30s/step] Training: 59%|█████▉ | 41181/70000 [14:34:58<10:06:47, 1.26s/step] Training: 59%|█████▉ | 41182/70000 [14:35:00<9:56:34, 1.24s/step] Training: 59%|█████▉ | 41183/70000 [14:35:01<9:49:13, 1.23s/step] Training: 59%|█████▉ | 41184/70000 [14:35:02<10:15:02, 1.28s/step] Training: 59%|█████▉ | 41185/70000 [14:35:03<10:05:18, 1.26s/step] Training: 59%|█████▉ | 41186/70000 [14:35:05<9:58:10, 1.25s/step] Training: 59%|█████▉ | 41187/70000 [14:35:06<9:50:12, 1.23s/step] Training: 59%|█████▉ | 41188/70000 [14:35:07<10:09:04, 1.27s/step] Training: 59%|█████▉ | 41189/70000 [14:35:08<9:56:21, 1.24s/step] Training: 59%|█████▉ | 41190/70000 [14:35:10<9:50:20, 1.23s/step] Training: 59%|█████▉ | 41191/70000 [14:35:11<9:45:19, 1.22s/step] Training: 59%|█████▉ | 41192/70000 [14:35:12<9:48:02, 1.22s/step] Training: 59%|█████▉ | 41193/70000 [14:35:13<10:05:35, 1.26s/step] Training: 59%|█████▉ | 41194/70000 [14:35:15<10:17:20, 1.29s/step] Training: 59%|█████▉ | 41195/70000 [14:35:16<10:04:56, 1.26s/step] Training: 59%|█████▉ | 41196/70000 [14:35:17<10:14:50, 1.28s/step] Training: 59%|█████▉ | 41197/70000 [14:35:19<10:22:15, 1.30s/step] Training: 59%|█████▉ | 41198/70000 [14:35:20<10:05:30, 1.26s/step] Training: 59%|█████▉ | 41199/70000 [14:35:21<9:54:38, 1.24s/step] Training: 59%|█████▉ | 41200/70000 [14:35:22<9:50:26, 1.23s/step]INFO 2026-03-13 10:45:14 ot_train.py:435 step:41K smpl:3M ep:9K epch:34.92 loss:0.012 grdn:2.244 lr:9.7e-06 updt_s:1.240 data_s:0.019 Training: 59%|█████▉ | 41201/70000 [14:35:23<10:06:22, 1.26s/step] Training: 59%|█████▉ | 41202/70000 [14:35:25<10:16:23, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=1817 Training: 59%|█████▉ | 41203/70000 [14:35:26<10:03:20, 1.26s/step] Training: 59%|█████▉ | 41204/70000 [14:35:27<10:13:25, 1.28s/step] Training: 59%|█████▉ | 41205/70000 [14:35:29<10:23:25, 1.30s/step] Training: 59%|█████▉ | 41206/70000 [14:35:30<10:06:08, 1.26s/step] Training: 59%|█████▉ | 41207/70000 [14:35:31<9:55:13, 1.24s/step] Training: 59%|█████▉ | 41208/70000 [14:35:32<10:08:57, 1.27s/step] Training: 59%|█████▉ | 41209/70000 [14:35:34<10:03:43, 1.26s/step] Training: 59%|█████▉ | 41210/70000 [14:35:35<10:16:07, 1.28s/step] Training: 59%|█████▉ | 41211/70000 [14:35:36<10:03:11, 1.26s/step] Training: 59%|█████▉ | 41212/70000 [14:35:38<10:20:34, 1.29s/step] Training: 59%|█████▉ | 41213/70000 [14:35:39<10:24:51, 1.30s/step] Training: 59%|█████▉ | 41214/70000 [14:35:40<10:07:18, 1.27s/step] Training: 59%|█████▉ | 41215/70000 [14:35:41<9:56:48, 1.24s/step] Training: 59%|█████▉ | 41216/70000 [14:35:43<10:08:19, 1.27s/step] Training: 59%|█████▉ | 41217/70000 [14:35:44<10:01:29, 1.25s/step] Training: 59%|█████▉ | 41218/70000 [14:35:45<9:58:34, 1.25s/step] Training: 59%|█████▉ | 41219/70000 [14:35:46<9:50:24, 1.23s/step] Training: 59%|█████▉ | 41220/70000 [14:35:47<9:52:31, 1.24s/step] Training: 59%|█████▉ | 41221/70000 [14:35:49<10:08:25, 1.27s/step] Training: 59%|█████▉ | 41222/70000 [14:35:50<9:56:02, 1.24s/step] Training: 59%|█████▉ | 41223/70000 [14:35:51<9:48:17, 1.23s/step] Training: 59%|█████▉ | 41224/70000 [14:35:53<10:10:09, 1.27s/step] Training: 59%|█████▉ | 41225/70000 [14:35:54<10:18:19, 1.29s/step] Training: 59%|█████▉ | 41226/70000 [14:35:55<10:25:02, 1.30s/step] Training: 59%|█████▉ | 41227/70000 [14:35:56<10:08:50, 1.27s/step] Training: 59%|█████▉ | 41228/70000 [14:35:58<10:16:34, 1.29s/step] Training: 59%|█████▉ | 41229/70000 [14:35:59<10:09:51, 1.27s/step] Training: 59%|█████▉ | 41230/70000 [14:36:00<9:56:58, 1.24s/step] Training: 59%|█████▉ | 41231/70000 [14:36:01<9:48:52, 1.23s/step] Training: 59%|█████▉ | 41232/70000 [14:36:03<9:48:28, 1.23s/step] Training: 59%|█████▉ | 41233/70000 [14:36:04<10:03:17, 1.26s/step] Training: 59%|█████▉ | 41234/70000 [14:36:05<10:15:02, 1.28s/step] Training: 59%|█████▉ | 41235/70000 [14:36:06<10:02:00, 1.26s/step] Training: 59%|█████▉ | 41236/70000 [14:36:08<10:12:43, 1.28s/step] Training: 59%|█████▉ | 41237/70000 [14:36:09<10:00:09, 1.25s/step] Training: 59%|█████▉ | 41238/70000 [14:36:10<10:12:59, 1.28s/step] Training: 59%|█████▉ | 41239/70000 [14:36:11<9:59:10, 1.25s/step] Training: 59%|█████▉ | 41240/70000 [14:36:13<10:11:15, 1.28s/step] Training: 59%|█████▉ | 41241/70000 [14:36:14<10:04:41, 1.26s/step] Training: 59%|█████▉ | 41242/70000 [14:36:15<10:15:51, 1.28s/step] Training: 59%|█████▉ | 41243/70000 [14:36:17<10:02:09, 1.26s/step] Training: 59%|█████▉ | 41244/70000 [14:36:18<10:17:21, 1.29s/step] Training: 59%|█████▉ | 41245/70000 [14:36:19<10:03:25, 1.26s/step] Training: 59%|█████▉ | 41246/70000 [14:36:20<10:10:41, 1.27s/step] Training: 59%|█████▉ | 41247/70000 [14:36:22<9:57:53, 1.25s/step] Training: 59%|█████▉ | 41248/70000 [14:36:23<10:09:32, 1.27s/step] Training: 59%|█████▉ | 41249/70000 [14:36:24<10:01:48, 1.26s/step] Training: 59%|█████▉ | 41250/70000 [14:36:25<9:55:25, 1.24s/step] Training: 59%|█████▉ | 41251/70000 [14:36:27<9:48:14, 1.23s/step] Training: 59%|█████▉ | 41252/70000 [14:36:28<9:53:08, 1.24s/step] Training: 59%|█████▉ | 41253/70000 [14:36:29<9:46:15, 1.22s/step] Training: 59%|█████▉ | 41254/70000 [14:36:30<10:03:25, 1.26s/step] Training: 59%|█████▉ | 41255/70000 [14:36:32<9:51:47, 1.24s/step] Training: 59%|█████▉ | 41256/70000 [14:36:33<10:10:23, 1.27s/step] Training: 59%|█████▉ | 41257/70000 [14:36:34<10:19:10, 1.29s/step] Training: 59%|█████▉ | 41258/70000 [14:36:36<10:24:26, 1.30s/step] Training: 59%|█████▉ | 41259/70000 [14:36:37<10:08:02, 1.27s/step] Training: 59%|█████▉ | 41260/70000 [14:36:38<10:19:19, 1.29s/step] Training: 59%|█████▉ | 41261/70000 [14:36:39<10:04:24, 1.26s/step] Training: 59%|█████▉ | 41262/70000 [14:36:40<9:53:46, 1.24s/step] Training: 59%|█████▉ | 41263/70000 [14:36:42<10:08:14, 1.27s/step] Training: 59%|█████▉ | 41264/70000 [14:36:43<9:59:19, 1.25s/step] Training: 59%|█████▉ | 41265/70000 [14:36:44<10:10:54, 1.28s/step] Training: 59%|█████▉ | 41266/70000 [14:36:46<10:33:03, 1.32s/step] Training: 59%|█████▉ | 41267/70000 [14:36:47<10:13:51, 1.28s/step] Training: 59%|█████▉ | 41268/70000 [14:36:48<10:21:57, 1.30s/step] Training: 59%|█████▉ | 41269/70000 [14:36:50<10:06:28, 1.27s/step] Training: 59%|█████▉ | 41270/70000 [14:36:51<9:55:47, 1.24s/step] Training: 59%|█████▉ | 41271/70000 [14:36:52<10:09:51, 1.27s/step] Training: 59%|█████▉ | 41272/70000 [14:36:53<10:17:57, 1.29s/step] Training: 59%|█████▉ | 41273/70000 [14:36:55<10:10:39, 1.28s/step] Training: 59%|█████▉ | 41274/70000 [14:36:56<10:32:33, 1.32s/step] Training: 59%|█████▉ | 41275/70000 [14:36:57<10:13:50, 1.28s/step] Training: 59%|█████▉ | 41276/70000 [14:36:59<10:23:48, 1.30s/step] Training: 59%|█████▉ | 41277/70000 [14:37:00<10:07:40, 1.27s/step] Training: 59%|█████▉ | 41278/70000 [14:37:01<9:56:10, 1.25s/step] Training: 59%|█████▉ | 41279/70000 [14:37:02<9:47:51, 1.23s/step] Training: 59%|█████▉ | 41280/70000 [14:37:04<10:02:45, 1.26s/step] Training: 59%|█████▉ | 41281/70000 [14:37:05<9:57:25, 1.25s/step] Training: 59%|█████▉ | 41282/70000 [14:37:06<9:52:14, 1.24s/step] Training: 59%|█████▉ | 41283/70000 [14:37:07<9:45:54, 1.22s/step] Training: 59%|█████▉ | 41284/70000 [14:37:08<9:56:44, 1.25s/step] Training: 59%|█████▉ | 41285/70000 [14:37:10<9:48:42, 1.23s/step] Training: 59%|█████▉ | 41286/70000 [14:37:11<9:42:38, 1.22s/step] Training: 59%|█████▉ | 41287/70000 [14:37:12<9:42:43, 1.22s/step] Training: 59%|█████▉ | 41288/70000 [14:37:13<9:47:18, 1.23s/step] Training: 59%|█████▉ | 41289/70000 [14:37:15<10:01:53, 1.26s/step] Training: 59%|█████▉ | 41290/70000 [14:37:16<10:28:37, 1.31s/step] Training: 59%|█████▉ | 41291/70000 [14:37:17<10:11:09, 1.28s/step] Training: 59%|█████▉ | 41292/70000 [14:37:18<10:01:37, 1.26s/step] Training: 59%|█████▉ | 41293/70000 [14:37:20<10:09:42, 1.27s/step] Training: 59%|█████▉ | 41294/70000 [14:37:21<9:56:56, 1.25s/step] Training: 59%|█████▉ | 41295/70000 [14:37:22<9:58:19, 1.25s/step] Training: 59%|█████▉ | 41296/70000 [14:37:23<9:50:53, 1.24s/step] Training: 59%|█████▉ | 41297/70000 [14:37:25<10:04:59, 1.26s/step] Training: 59%|█████▉ | 41298/70000 [14:37:26<10:15:30, 1.29s/step] Training: 59%|█████▉ | 41299/70000 [14:37:27<10:01:15, 1.26s/step] Training: 59%|█████▉ | 41300/70000 [14:37:30<12:46:12, 1.60s/step]INFO 2026-03-13 10:47:22 ot_train.py:435 step:41K smpl:3M ep:9K epch:35.01 loss:0.012 grdn:1.280 lr:9.7e-06 updt_s:1.245 data_s:0.028 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 59%|█████▉ | 41301/70000 [14:37:34<19:21:38, 2.43s/step] Training: 59%|█████▉ | 41302/70000 [14:37:35<16:23:32, 2.06s/step] Training: 59%|█████▉ | 41303/70000 [14:37:36<14:18:43, 1.80s/step] Training: 59%|█████▉ | 41304/70000 [14:37:38<13:38:40, 1.71s/step] Training: 59%|█████▉ | 41305/70000 [14:37:39<12:37:43, 1.58s/step] Training: 59%|█████▉ | 41306/70000 [14:37:41<12:03:47, 1.51s/step] Training: 59%|█████▉ | 41307/70000 [14:37:42<11:17:36, 1.42s/step] Training: 59%|█████▉ | 41308/70000 [14:37:43<11:07:59, 1.40s/step] Training: 59%|█████▉ | 41309/70000 [14:37:44<10:41:10, 1.34s/step] Training: 59%|█████▉ | 41310/70000 [14:37:45<10:19:34, 1.30s/step] Training: 59%|█████▉ | 41311/70000 [14:37:47<10:03:55, 1.26s/step] Training: 59%|█████▉ | 41312/70000 [14:37:48<10:24:15, 1.31s/step] Training: 59%|█████▉ | 41313/70000 [14:37:49<10:10:44, 1.28s/step] Training: 59%|█████▉ | 41314/70000 [14:37:51<10:19:01, 1.29s/step] Training: 59%|█████▉ | 41315/70000 [14:37:52<10:03:45, 1.26s/step] Training: 59%|█████▉ | 41316/70000 [14:37:53<10:13:14, 1.28s/step] Training: 59%|█████▉ | 41317/70000 [14:37:54<10:19:27, 1.30s/step] Training: 59%|█████▉ | 41318/70000 [14:37:56<10:03:59, 1.26s/step] Training: 59%|█████▉ | 41319/70000 [14:37:57<9:53:01, 1.24s/step] Training: 59%|█████▉ | 41320/70000 [14:37:58<9:51:37, 1.24s/step] Training: 59%|█████▉ | 41321/70000 [14:38:00<10:21:19, 1.30s/step] Training: 59%|█████▉ | 41322/70000 [14:38:01<10:26:57, 1.31s/step] Training: 59%|█████▉ | 41323/70000 [14:38:02<10:10:28, 1.28s/step] Training: 59%|█████▉ | 41324/70000 [14:38:03<10:01:03, 1.26s/step] Training: 59%|█████▉ | 41325/70000 [14:38:05<10:12:13, 1.28s/step] Training: 59%|█████▉ | 41326/70000 [14:38:06<9:59:16, 1.25s/step] Training: 59%|█████▉ | 41327/70000 [14:38:07<9:50:02, 1.23s/step] Training: 59%|█████▉ | 41328/70000 [14:38:08<10:07:39, 1.27s/step] Training: 59%|█████▉ | 41329/70000 [14:38:10<10:14:44, 1.29s/step] Training: 59%|█████▉ | 41330/70000 [14:38:11<10:09:49, 1.28s/step] Training: 59%|█████▉ | 41331/70000 [14:38:12<9:57:56, 1.25s/step] Training: 59%|█████▉ | 41332/70000 [14:38:13<10:08:26, 1.27s/step] Training: 59%|█████▉ | 41333/70000 [14:38:15<10:17:08, 1.29s/step] Training: 59%|█████▉ | 41334/70000 [14:38:16<10:02:49, 1.26s/step] Training: 59%|█████▉ | 41335/70000 [14:38:17<9:52:44, 1.24s/step] Training: 59%|█████▉ | 41336/70000 [14:38:18<10:06:07, 1.27s/step] Training: 59%|█████▉ | 41337/70000 [14:38:20<10:17:33, 1.29s/step] Training: 59%|█████▉ | 41338/70000 [14:38:21<10:22:26, 1.30s/step] Training: 59%|█████▉ | 41339/70000 [14:38:22<10:06:44, 1.27s/step] Training: 59%|█████▉ | 41340/70000 [14:38:24<10:14:31, 1.29s/step] Training: 59%|█████▉ | 41341/70000 [14:38:25<10:03:39, 1.26s/step] Training: 59%|█████▉ | 41342/70000 [14:38:26<9:53:12, 1.24s/step] Training: 59%|█████▉ | 41343/70000 [14:38:27<9:46:42, 1.23s/step] Training: 59%|█████▉ | 41344/70000 [14:38:29<10:02:41, 1.26s/step] Training: 59%|█████▉ | 41345/70000 [14:38:30<10:17:40, 1.29s/step] Training: 59%|█████▉ | 41346/70000 [14:38:31<10:05:11, 1.27s/step] Training: 59%|█████▉ | 41347/70000 [14:38:33<10:11:00, 1.28s/step] Training: 59%|█████▉ | 41348/70000 [14:38:34<10:03:56, 1.26s/step] Training: 59%|█████▉ | 41349/70000 [14:38:35<10:14:19, 1.29s/step] Training: 59%|█████▉ | 41350/70000 [14:38:36<10:00:32, 1.26s/step] Training: 59%|█████▉ | 41351/70000 [14:38:37<9:50:28, 1.24s/step] Training: 59%|█████▉ | 41352/70000 [14:38:39<9:51:58, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=50019 Training: 59%|█████▉ | 41353/70000 [14:38:40<10:04:54, 1.27s/step] Training: 59%|█████▉ | 41354/70000 [14:38:41<10:16:19, 1.29s/step] Training: 59%|█████▉ | 41355/70000 [14:38:43<10:18:36, 1.30s/step] Training: 59%|█████▉ | 41356/70000 [14:38:44<10:03:15, 1.26s/step] Training: 59%|█████▉ | 41357/70000 [14:38:45<10:32:40, 1.33s/step] Training: 59%|█████▉ | 41358/70000 [14:38:47<10:12:52, 1.28s/step] Training: 59%|█████▉ | 41359/70000 [14:38:48<9:59:43, 1.26s/step] Training: 59%|█████▉ | 41360/70000 [14:38:49<9:54:04, 1.24s/step] Training: 59%|█████▉ | 41361/70000 [14:38:50<10:13:43, 1.29s/step] Training: 59%|█████▉ | 41362/70000 [14:38:52<10:21:12, 1.30s/step] Training: 59%|█████▉ | 41363/70000 [14:38:53<10:05:15, 1.27s/step] Training: 59%|█████▉ | 41364/70000 [14:38:54<10:16:14, 1.29s/step] Training: 59%|█████▉ | 41365/70000 [14:38:56<10:20:59, 1.30s/step] Training: 59%|█████▉ | 41366/70000 [14:38:57<10:05:16, 1.27s/step] Training: 59%|█████▉ | 41367/70000 [14:38:58<9:54:00, 1.24s/step] Training: 59%|█████▉ | 41368/70000 [14:38:59<10:07:16, 1.27s/step] Training: 59%|█████▉ | 41369/70000 [14:39:01<10:11:59, 1.28s/step] Training: 59%|█████▉ | 41370/70000 [14:39:02<10:17:00, 1.29s/step] Training: 59%|█████▉ | 41371/70000 [14:39:03<10:03:08, 1.26s/step] Training: 59%|█████▉ | 41372/70000 [14:39:04<9:54:57, 1.25s/step] Training: 59%|█████▉ | 41373/70000 [14:39:05<9:51:14, 1.24s/step] Training: 59%|█████▉ | 41374/70000 [14:39:07<9:44:02, 1.22s/step] Training: 59%|█████▉ | 41375/70000 [14:39:08<9:39:40, 1.22s/step] Training: 59%|█████▉ | 41376/70000 [14:39:09<9:58:47, 1.26s/step] Training: 59%|█████▉ | 41377/70000 [14:39:10<9:55:08, 1.25s/step] Training: 59%|█████▉ | 41378/70000 [14:39:12<10:09:28, 1.28s/step] Training: 59%|█████▉ | 41379/70000 [14:39:13<10:16:02, 1.29s/step] Training: 59%|█████▉ | 41380/70000 [14:39:14<10:11:19, 1.28s/step] Training: 59%|█████▉ | 41381/70000 [14:39:16<10:18:28, 1.30s/step] Training: 59%|█████▉ | 41382/70000 [14:39:17<10:04:06, 1.27s/step] Training: 59%|█████▉ | 41383/70000 [14:39:18<9:53:03, 1.24s/step] [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=65698 Training: 59%|█████▉ | 41384/70000 [14:39:19<9:50:45, 1.24s/step] Training: 59%|█████▉ | 41385/70000 [14:39:21<10:03:33, 1.27s/step] Training: 59%|█████▉ | 41386/70000 [14:39:22<10:24:06, 1.31s/step] Training: 59%|█████▉ | 41387/70000 [14:39:23<10:10:23, 1.28s/step] Training: 59%|█████▉ | 41388/70000 [14:39:24<9:57:11, 1.25s/step] Training: 59%|█████▉ | 41389/70000 [14:39:26<10:28:55, 1.32s/step] Training: 59%|█████▉ | 41390/70000 [14:39:27<10:10:50, 1.28s/step] Training: 59%|█████▉ | 41391/70000 [14:39:28<9:57:53, 1.25s/step] Training: 59%|█████▉ | 41392/70000 [14:39:30<9:52:08, 1.24s/step] Training: 59%|█████▉ | 41393/70000 [14:39:31<10:03:32, 1.27s/step] Training: 59%|█████▉ | 41394/70000 [14:39:32<10:17:16, 1.29s/step] Training: 59%|█████▉ | 41395/70000 [14:39:34<10:20:09, 1.30s/step] Training: 59%|█████▉ | 41396/70000 [14:39:35<10:03:57, 1.27s/step] Training: 59%|█████▉ | 41397/70000 [14:39:36<9:53:16, 1.24s/step] Training: 59%|█████▉ | 41398/70000 [14:39:37<10:04:01, 1.27s/step] Training: 59%|█████▉ | 41399/70000 [14:39:38<9:53:19, 1.24s/step] Training: 59%|█████▉ | 41400/70000 [14:39:40<10:07:00, 1.27s/step]INFO 2026-03-13 10:49:32 ot_train.py:435 step:41K smpl:3M ep:9K epch:35.09 loss:0.011 grdn:1.086 lr:9.6e-06 updt_s:1.248 data_s:0.050 Training: 59%|█████▉ | 41401/70000 [14:39:41<10:01:24, 1.26s/step] Training: 59%|█████▉ | 41402/70000 [14:39:42<10:14:02, 1.29s/step] Training: 59%|█████▉ | 41403/70000 [14:39:44<10:17:26, 1.30s/step] Training: 59%|█████▉ | 41404/70000 [14:39:45<10:02:53, 1.26s/step] Training: 59%|█████▉ | 41405/70000 [14:39:46<9:52:01, 1.24s/step] Training: 59%|█████▉ | 41406/70000 [14:39:47<10:02:43, 1.26s/step] Training: 59%|█████▉ | 41407/70000 [14:39:49<9:52:36, 1.24s/step] Training: 59%|█████▉ | 41408/70000 [14:39:50<10:04:42, 1.27s/step] Training: 59%|█████▉ | 41409/70000 [14:39:51<9:58:26, 1.26s/step] Training: 59%|█████▉ | 41410/70000 [14:39:52<9:53:32, 1.25s/step] Training: 59%|█████▉ | 41411/70000 [14:39:54<10:17:57, 1.30s/step] Training: 59%|█████▉ | 41412/70000 [14:39:55<10:07:54, 1.28s/step] Training: 59%|█████▉ | 41413/70000 [14:39:56<10:14:39, 1.29s/step] Training: 59%|█████▉ | 41414/70000 [14:39:57<10:00:35, 1.26s/step] Training: 59%|█████▉ | 41415/70000 [14:39:59<9:50:33, 1.24s/step] Training: 59%|█████▉ | 41416/70000 [14:40:00<9:48:34, 1.24s/step] Training: 59%|█████▉ | 41417/70000 [14:40:01<10:02:07, 1.26s/step] Training: 59%|█████▉ | 41418/70000 [14:40:03<10:13:22, 1.29s/step] Training: 59%|█████▉ | 41419/70000 [14:40:04<10:21:46, 1.31s/step] Training: 59%|█████▉ | 41420/70000 [14:40:05<10:04:50, 1.27s/step] Training: 59%|█████▉ | 41421/70000 [14:40:07<10:31:32, 1.33s/step] Training: 59%|█████▉ | 41422/70000 [14:40:08<10:11:37, 1.28s/step] Training: 59%|█████▉ | 41423/70000 [14:40:09<9:58:17, 1.26s/step] Training: 59%|█████▉ | 41424/70000 [14:40:10<9:55:47, 1.25s/step] Training: 59%|█████▉ | 41425/70000 [14:40:12<10:08:39, 1.28s/step] Training: 59%|█████▉ | 41426/70000 [14:40:13<10:18:08, 1.30s/step] Training: 59%|█████▉ | 41427/70000 [14:40:14<10:37:36, 1.34s/step] Training: 59%|█████▉ | 41428/70000 [14:40:15<10:16:11, 1.29s/step] Training: 59%|█████▉ | 41429/70000 [14:40:17<10:07:22, 1.28s/step] Training: 59%|█████▉ | 41430/70000 [14:40:18<9:54:37, 1.25s/step] Training: 59%|█████▉ | 41431/70000 [14:40:19<9:46:06, 1.23s/step] Training: 59%|█████▉ | 41432/70000 [14:40:20<10:00:58, 1.26s/step] Training: 59%|█████▉ | 41433/70000 [14:40:22<9:55:46, 1.25s/step] Training: 59%|█████▉ | 41434/70000 [14:40:23<10:06:48, 1.27s/step] Training: 59%|█████▉ | 41435/70000 [14:40:24<10:21:22, 1.31s/step] Training: 59%|█████▉ | 41436/70000 [14:40:26<10:08:10, 1.28s/step] Training: 59%|█████▉ | 41437/70000 [14:40:27<10:00:01, 1.26s/step] Training: 59%|█████▉ | 41438/70000 [14:40:28<9:50:00, 1.24s/step] Training: 59%|█████▉ | 41439/70000 [14:40:29<9:43:29, 1.23s/step] Training: 59%|█████▉ | 41440/70000 [14:40:31<9:58:23, 1.26s/step] Training: 59%|█████▉ | 41441/70000 [14:40:32<9:53:46, 1.25s/step] Training: 59%|█████▉ | 41442/70000 [14:40:33<9:49:14, 1.24s/step] Training: 59%|█████▉ | 41443/70000 [14:40:34<10:01:01, 1.26s/step] Training: 59%|█████▉ | 41444/70000 [14:40:35<9:52:07, 1.24s/step] Training: 59%|█████▉ | 41445/70000 [14:40:37<9:44:41, 1.23s/step] Training: 59%|█████▉ | 41446/70000 [14:40:38<9:56:47, 1.25s/step] Training: 59%|█████▉ | 41447/70000 [14:40:39<9:48:04, 1.24s/step] Training: 59%|█████▉ | 41448/70000 [14:40:40<9:47:29, 1.23s/step] Training: 59%|█████▉ | 41449/70000 [14:40:42<10:01:37, 1.26s/step] Training: 59%|█████▉ | 41450/70000 [14:40:43<10:11:47, 1.29s/step] Training: 59%|█████▉ | 41451/70000 [14:40:44<10:00:59, 1.26s/step] Training: 59%|█████▉ | 41452/70000 [14:40:46<10:26:23, 1.32s/step] Training: 59%|█████▉ | 41453/70000 [14:40:47<10:08:19, 1.28s/step] Training: 59%|█████▉ | 41454/70000 [14:40:48<9:55:30, 1.25s/step] Training: 59%|█████▉ | 41455/70000 [14:40:49<9:46:22, 1.23s/step] Training: 59%|█████▉ | 41456/70000 [14:40:51<9:44:51, 1.23s/step] Training: 59%|█████▉ | 41457/70000 [14:40:52<10:00:39, 1.26s/step] Training: 59%|█████▉ | 41458/70000 [14:40:53<10:11:29, 1.29s/step] Training: 59%|█████▉ | 41459/70000 [14:40:55<10:17:43, 1.30s/step] Training: 59%|█████▉ | 41460/70000 [14:40:56<10:37:54, 1.34s/step] Training: 59%|█████▉ | 41461/70000 [14:40:57<10:20:39, 1.30s/step] Training: 59%|█████▉ | 41462/70000 [14:40:58<10:04:22, 1.27s/step] Training: 59%|█████▉ | 41463/70000 [14:41:00<9:51:41, 1.24s/step] Training: 59%|█████▉ | 41464/70000 [14:41:01<10:05:20, 1.27s/step] Training: 59%|█████▉ | 41465/70000 [14:41:02<10:11:35, 1.29s/step] Training: 59%|█████▉ | 41466/70000 [14:41:04<10:17:53, 1.30s/step] Training: 59%|█████▉ | 41467/70000 [14:41:05<10:22:53, 1.31s/step] Training: 59%|█████▉ | 41468/70000 [14:41:06<10:33:43, 1.33s/step] Training: 59%|█████▉ | 41469/70000 [14:41:07<10:18:30, 1.30s/step] Training: 59%|█████▉ | 41470/70000 [14:41:09<10:02:56, 1.27s/step] Training: 59%|█████▉ | 41471/70000 [14:41:10<9:51:55, 1.24s/step] Training: 59%|█████▉ | 41472/70000 [14:41:11<10:04:00, 1.27s/step] Training: 59%|█████▉ | 41473/70000 [14:41:12<10:04:59, 1.27s/step] Training: 59%|█████▉ | 41474/70000 [14:41:14<9:56:53, 1.26s/step] Training: 59%|█████▉ | 41475/70000 [14:41:15<10:08:46, 1.28s/step] Training: 59%|█████▉ | 41476/70000 [14:41:16<10:00:10, 1.26s/step] Training: 59%|█████▉ | 41477/70000 [14:41:18<10:23:29, 1.31s/step] Training: 59%|█████▉ | 41478/70000 [14:41:19<10:09:38, 1.28s/step] Training: 59%|█████▉ | 41479/70000 [14:41:20<9:57:23, 1.26s/step] Training: 59%|█████▉ | 41480/70000 [14:41:21<9:53:26, 1.25s/step] Training: 59%|█████▉ | 41481/70000 [14:41:23<10:05:58, 1.27s/step] Training: 59%|█████▉ | 41482/70000 [14:41:24<10:14:05, 1.29s/step] Training: 59%|█████▉ | 41483/70000 [14:41:25<10:01:43, 1.27s/step] Training: 59%|█████▉ | 41484/70000 [14:41:27<10:09:22, 1.28s/step] Training: 59%|█████▉ | 41485/70000 [14:41:28<10:34:05, 1.33s/step] Training: 59%|█████▉ | 41486/70000 [14:41:29<10:13:39, 1.29s/step] Training: 59%|█████▉ | 41487/70000 [14:41:30<9:59:58, 1.26s/step] Training: 59%|█████▉ | 41488/70000 [14:41:32<9:52:18, 1.25s/step] Training: 59%|█████▉ | 41489/70000 [14:41:33<10:05:06, 1.27s/step] Training: 59%|█████▉ | 41490/70000 [14:41:34<10:13:40, 1.29s/step] Training: 59%|█████▉ | 41491/70000 [14:41:36<10:19:52, 1.30s/step] Training: 59%|█████▉ | 41492/70000 [14:41:37<10:22:06, 1.31s/step] Training: 59%|█████▉ | 41493/70000 [14:41:38<10:11:41, 1.29s/step] Training: 59%|█████▉ | 41494/70000 [14:41:39<9:57:01, 1.26s/step] Training: 59%|█████▉ | 41495/70000 [14:41:41<9:47:45, 1.24s/step] Training: 59%|█████▉ | 41496/70000 [14:41:42<10:01:48, 1.27s/step] Training: 59%|█████▉ | 41497/70000 [14:41:43<9:57:09, 1.26s/step] Training: 59%|█████▉ | 41498/70000 [14:41:45<10:21:24, 1.31s/step] Training: 59%|█████▉ | 41499/70000 [14:41:46<10:25:00, 1.32s/step] Training: 59%|█████▉ | 41500/70000 [14:41:47<10:11:03, 1.29s/step]INFO 2026-03-13 10:51:39 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.18 loss:0.011 grdn:1.140 lr:9.6e-06 updt_s:1.252 data_s:0.019 Training: 59%|█████▉ | 41501/70000 [14:41:48<10:04:26, 1.27s/step] Training: 59%|█████▉ | 41502/70000 [14:41:50<10:08:32, 1.28s/step] Training: 59%|█████▉ | 41503/70000 [14:41:51<9:55:22, 1.25s/step] Training: 59%|█████▉ | 41504/70000 [14:41:52<10:05:38, 1.28s/step] Training: 59%|█████▉ | 41505/70000 [14:41:53<9:58:46, 1.26s/step] Training: 59%|█████▉ | 41506/70000 [14:41:55<10:07:51, 1.28s/step] Training: 59%|█████▉ | 41507/70000 [14:41:56<10:15:35, 1.30s/step] Training: 59%|█████▉ | 41508/70000 [14:41:57<10:05:33, 1.28s/step] Training: 59%|█████▉ | 41509/70000 [14:41:59<10:05:57, 1.28s/step] Training: 59%|█████▉ | 41510/70000 [14:42:00<9:52:22, 1.25s/step] Training: 59%|█████▉ | 41511/70000 [14:42:01<9:44:21, 1.23s/step] Training: 59%|█████▉ | 41512/70000 [14:42:02<9:43:06, 1.23s/step] Training: 59%|█████▉ | 41513/70000 [14:42:03<9:57:52, 1.26s/step] Training: 59%|█████▉ | 41514/70000 [14:42:05<10:08:58, 1.28s/step] Training: 59%|█████▉ | 41515/70000 [14:42:06<9:58:26, 1.26s/step] Training: 59%|█████▉ | 41516/70000 [14:42:07<9:48:08, 1.24s/step] Training: 59%|█████▉ | 41517/70000 [14:42:09<10:20:15, 1.31s/step] Training: 59%|█████▉ | 41518/70000 [14:42:10<10:26:57, 1.32s/step] Training: 59%|█████▉ | 41519/70000 [14:42:11<10:07:01, 1.28s/step] Training: 59%|█████▉ | 41520/70000 [14:42:12<9:56:57, 1.26s/step] Training: 59%|█████▉ | 41521/70000 [14:42:14<10:08:18, 1.28s/step] Training: 59%|█████▉ | 41522/70000 [14:42:15<10:18:13, 1.30s/step] Training: 59%|█████▉ | 41523/70000 [14:42:16<10:23:05, 1.31s/step] Training: 59%|█████▉ | 41524/70000 [14:42:18<10:24:53, 1.32s/step] Training: 59%|█████▉ | 41525/70000 [14:42:19<10:29:23, 1.33s/step] Training: 59%|█████▉ | 41526/70000 [14:42:20<10:21:47, 1.31s/step] Training: 59%|█████▉ | 41527/70000 [14:42:22<10:04:56, 1.27s/step] Training: 59%|█████▉ | 41528/70000 [14:42:23<10:11:44, 1.29s/step] Training: 59%|█████▉ | 41529/70000 [14:42:24<10:03:30, 1.27s/step] Training: 59%|█████▉ | 41530/70000 [14:42:25<10:11:40, 1.29s/step] Training: 59%|█████▉ | 41531/70000 [14:42:27<10:16:20, 1.30s/step] Training: 59%|█████▉ | 41532/70000 [14:42:28<10:02:11, 1.27s/step] Training: 59%|█████▉ | 41533/70000 [14:42:29<10:12:51, 1.29s/step] Training: 59%|█████▉ | 41534/70000 [14:42:30<9:58:20, 1.26s/step] Training: 59%|█████▉ | 41535/70000 [14:42:32<10:12:39, 1.29s/step] Training: 59%|█████▉ | 41536/70000 [14:42:33<10:17:09, 1.30s/step] Training: 59%|█████▉ | 41537/70000 [14:42:34<10:06:39, 1.28s/step] Training: 59%|█████▉ | 41538/70000 [14:42:36<9:57:21, 1.26s/step] Training: 59%|█████▉ | 41539/70000 [14:42:37<10:22:35, 1.31s/step] Training: 59%|█████▉ | 41540/70000 [14:42:38<10:16:39, 1.30s/step] Training: 59%|█████▉ | 41541/70000 [14:42:40<10:04:09, 1.27s/step] Training: 59%|█████▉ | 41542/70000 [14:42:41<10:18:34, 1.30s/step] Training: 59%|█████▉ | 41543/70000 [14:42:42<10:01:16, 1.27s/step] Training: 59%|█████▉ | 41544/70000 [14:42:43<9:55:00, 1.25s/step] Training: 59%|█████▉ | 41545/70000 [14:42:45<10:06:50, 1.28s/step] Training: 59%|█████▉ | 41546/70000 [14:42:46<10:15:21, 1.30s/step] Training: 59%|█████▉ | 41547/70000 [14:42:47<10:03:09, 1.27s/step] Training: 59%|█████▉ | 41548/70000 [14:42:48<9:51:39, 1.25s/step] Training: 59%|█████▉ | 41549/70000 [14:42:50<10:21:32, 1.31s/step] Training: 59%|█████▉ | 41550/70000 [14:42:51<10:03:58, 1.27s/step] Training: 59%|█████▉ | 41551/70000 [14:42:52<10:14:27, 1.30s/step] Training: 59%|█████▉ | 41552/70000 [14:42:54<10:02:06, 1.27s/step] Training: 59%|█████▉ | 41553/70000 [14:42:55<10:11:33, 1.29s/step] Training: 59%|█████▉ | 41554/70000 [14:42:56<10:20:09, 1.31s/step] Training: 59%|█████▉ | 41555/70000 [14:42:58<10:23:20, 1.31s/step] Training: 59%|█████▉ | 41556/70000 [14:42:59<10:05:33, 1.28s/step] Training: 59%|█████▉ | 41557/70000 [14:43:00<10:13:41, 1.29s/step] Training: 59%|█████▉ | 41558/70000 [14:43:01<9:59:34, 1.26s/step] Training: 59%|█████▉ | 41559/70000 [14:43:03<10:12:18, 1.29s/step] Training: 59%|█████▉ | 41560/70000 [14:43:04<10:17:26, 1.30s/step] Training: 59%|█████▉ | 41561/70000 [14:43:05<10:07:21, 1.28s/step] Training: 59%|█████▉ | 41562/70000 [14:43:07<10:17:21, 1.30s/step] Training: 59%|█████▉ | 41563/70000 [14:43:08<10:21:21, 1.31s/step] Training: 59%|█████▉ | 41564/70000 [14:43:09<10:08:31, 1.28s/step] Training: 59%|█████▉ | 41565/70000 [14:43:10<10:15:13, 1.30s/step] Training: 59%|█████▉ | 41566/70000 [14:43:12<9:59:51, 1.27s/step] Training: 59%|█████▉ | 41567/70000 [14:43:13<9:48:52, 1.24s/step] Training: 59%|█████▉ | 41568/70000 [14:43:14<9:41:23, 1.23s/step] Training: 59%|█████▉ | 41569/70000 [14:43:15<9:57:08, 1.26s/step] Training: 59%|█████▉ | 41570/70000 [14:43:17<9:49:40, 1.24s/step] Training: 59%|█████▉ | 41571/70000 [14:43:18<10:15:47, 1.30s/step] Training: 59%|█████▉ | 41572/70000 [14:43:19<10:02:19, 1.27s/step] Training: 59%|█████▉ | 41573/70000 [14:43:20<9:53:32, 1.25s/step] Training: 59%|█████▉ | 41574/70000 [14:43:22<9:44:18, 1.23s/step] Training: 59%|█████▉ | 41575/70000 [14:43:23<10:06:21, 1.28s/step] Training: 59%|█████▉ | 41576/70000 [14:43:24<9:52:22, 1.25s/step] Training: 59%|█████▉ | 41577/70000 [14:43:26<10:20:58, 1.31s/step] Training: 59%|█████▉ | 41578/70000 [14:43:27<10:24:10, 1.32s/step] Training: 59%|█████▉ | 41579/70000 [14:43:28<10:08:44, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=65698 Training: 59%|█████▉ | 41580/70000 [14:43:30<10:18:09, 1.31s/step] Training: 59%|█████▉ | 41581/70000 [14:43:31<10:24:12, 1.32s/step] Training: 59%|█████▉ | 41582/70000 [14:43:32<10:05:30, 1.28s/step] Training: 59%|█████▉ | 41583/70000 [14:43:33<9:58:44, 1.26s/step] Training: 59%|█████▉ | 41584/70000 [14:43:34<9:46:36, 1.24s/step] Training: 59%|█████▉ | 41585/70000 [14:43:36<9:59:59, 1.27s/step] Training: 59%|█████▉ | 41586/70000 [14:43:37<10:11:16, 1.29s/step] Training: 59%|█████▉ | 41587/70000 [14:43:38<10:16:22, 1.30s/step] Training: 59%|█████▉ | 41588/70000 [14:43:40<10:23:32, 1.32s/step] Training: 59%|█████▉ | 41589/70000 [14:43:41<10:25:54, 1.32s/step] Training: 59%|█████▉ | 41590/70000 [14:43:42<10:07:41, 1.28s/step] Training: 59%|█████▉ | 41591/70000 [14:43:44<9:54:53, 1.26s/step] Training: 59%|█████▉ | 41592/70000 [14:43:45<10:06:19, 1.28s/step] Training: 59%|█████▉ | 41593/70000 [14:43:46<10:07:02, 1.28s/step] Training: 59%|█████▉ | 41594/70000 [14:43:48<10:14:14, 1.30s/step] Training: 59%|█████▉ | 41595/70000 [14:43:49<10:16:47, 1.30s/step] Training: 59%|█████▉ | 41596/70000 [14:43:50<10:08:02, 1.28s/step] Training: 59%|█████▉ | 41597/70000 [14:43:51<10:12:58, 1.29s/step] Training: 59%|█████▉ | 41598/70000 [14:43:53<9:58:50, 1.27s/step] Training: 59%|█████▉ | 41599/70000 [14:43:54<9:48:22, 1.24s/step] Training: 59%|█████▉ | 41600/70000 [14:43:55<9:54:22, 1.26s/step]INFO 2026-03-13 10:53:47 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.26 loss:0.011 grdn:1.469 lr:9.5e-06 updt_s:1.259 data_s:0.019 Training: 59%|█████▉ | 41601/70000 [14:43:56<10:04:23, 1.28s/step] Training: 59%|█████▉ | 41602/70000 [14:43:58<10:00:08, 1.27s/step] Training: 59%|█████▉ | 41603/70000 [14:43:59<10:19:32, 1.31s/step] Training: 59%|█████▉ | 41604/70000 [14:44:00<10:05:49, 1.28s/step] Training: 59%|█████▉ | 41605/70000 [14:44:01<9:56:58, 1.26s/step] Training: 59%|█████▉ | 41606/70000 [14:44:03<9:46:48, 1.24s/step] Training: 59%|█████▉ | 41607/70000 [14:44:04<9:40:25, 1.23s/step] Training: 59%|█████▉ | 41608/70000 [14:44:05<10:00:37, 1.27s/step] Training: 59%|█████▉ | 41609/70000 [14:44:07<10:09:38, 1.29s/step] Training: 59%|█████▉ | 41610/70000 [14:44:08<10:14:39, 1.30s/step] Training: 59%|█████▉ | 41611/70000 [14:44:09<10:02:15, 1.27s/step] Training: 59%|█████▉ | 41612/70000 [14:44:10<10:09:44, 1.29s/step] Training: 59%|█████▉ | 41613/70000 [14:44:12<10:14:51, 1.30s/step] Training: 59%|█████▉ | 41614/70000 [14:44:13<9:59:26, 1.27s/step] Training: 59%|█████▉ | 41615/70000 [14:44:14<9:48:39, 1.24s/step] Training: 59%|█████▉ | 41616/70000 [14:44:16<10:06:23, 1.28s/step] Training: 59%|█████▉ | 41617/70000 [14:44:17<10:13:06, 1.30s/step] Training: 59%|█████▉ | 41618/70000 [14:44:18<10:21:17, 1.31s/step] Training: 59%|█████▉ | 41619/70000 [14:44:20<10:24:03, 1.32s/step] Training: 59%|█████▉ | 41620/70000 [14:44:21<10:24:50, 1.32s/step] Training: 59%|█████▉ | 41621/70000 [14:44:22<10:25:24, 1.32s/step] Training: 59%|█████▉ | 41622/70000 [14:44:23<10:06:47, 1.28s/step] Training: 59%|█████▉ | 41623/70000 [14:44:25<9:53:27, 1.25s/step] Training: 59%|█████▉ | 41624/70000 [14:44:26<9:45:05, 1.24s/step] Training: 59%|█████▉ | 41625/70000 [14:44:27<10:15:40, 1.30s/step] Training: 59%|█████▉ | 41626/70000 [14:44:29<10:22:04, 1.32s/step] Training: 59%|█████▉ | 41627/70000 [14:44:30<10:25:49, 1.32s/step] Training: 59%|█████▉ | 41628/70000 [14:44:31<10:10:35, 1.29s/step] Training: 59%|█████▉ | 41629/70000 [14:44:32<10:16:19, 1.30s/step] Training: 59%|█████▉ | 41630/70000 [14:44:34<10:00:00, 1.27s/step] Training: 59%|█████▉ | 41631/70000 [14:44:35<9:48:23, 1.24s/step] Training: 59%|█████▉ | 41632/70000 [14:44:36<9:40:38, 1.23s/step] Training: 59%|█████▉ | 41633/70000 [14:44:37<10:14:02, 1.30s/step] Training: 59%|█████▉ | 41634/70000 [14:44:39<10:01:28, 1.27s/step] Training: 59%|█████▉ | 41635/70000 [14:44:40<10:25:42, 1.32s/step] Training: 59%|█████▉ | 41636/70000 [14:44:41<10:07:53, 1.29s/step] Training: 59%|█████▉ | 41637/70000 [14:44:43<9:56:23, 1.26s/step] Training: 59%|█████▉ | 41638/70000 [14:44:44<9:45:51, 1.24s/step] Training: 59%|█████▉ | 41639/70000 [14:44:45<9:38:25, 1.22s/step] Training: 59%|█████▉ | 41640/70000 [14:44:46<9:33:47, 1.21s/step] Training: 59%|█████▉ | 41641/70000 [14:44:48<10:07:34, 1.29s/step] Training: 59%|█████▉ | 41642/70000 [14:44:49<10:15:46, 1.30s/step] Training: 59%|█████▉ | 41643/70000 [14:44:50<10:01:32, 1.27s/step] Training: 59%|█████▉ | 41644/70000 [14:44:51<10:10:45, 1.29s/step] Training: 59%|█████▉ | 41645/70000 [14:44:53<10:20:41, 1.31s/step] Training: 59%|█████▉ | 41646/70000 [14:44:54<10:03:12, 1.28s/step] Training: 59%|█████▉ | 41647/70000 [14:44:55<9:51:38, 1.25s/step] Training: 59%|█████▉ | 41648/70000 [14:44:56<9:42:40, 1.23s/step] Training: 59%|█████▉ | 41649/70000 [14:44:58<10:05:30, 1.28s/step] Training: 60%|█████▉ | 41650/70000 [14:44:59<10:17:10, 1.31s/step] Training: 60%|█████▉ | 41651/70000 [14:45:00<10:19:57, 1.31s/step] Training: 60%|█████▉ | 41652/70000 [14:45:02<10:25:11, 1.32s/step] Training: 60%|█████▉ | 41653/70000 [14:45:03<10:27:50, 1.33s/step] Training: 60%|█████▉ | 41654/70000 [14:45:04<10:07:40, 1.29s/step] Training: 60%|█████▉ | 41655/70000 [14:45:06<9:53:43, 1.26s/step] Training: 60%|█████▉ | 41656/70000 [14:45:07<9:43:58, 1.24s/step] Training: 60%|█████▉ | 41657/70000 [14:45:08<10:02:46, 1.28s/step] Training: 60%|█████▉ | 41658/70000 [14:45:09<10:10:47, 1.29s/step] Training: 60%|█████▉ | 41659/70000 [14:45:11<10:16:40, 1.31s/step] Training: 60%|█████▉ | 41660/70000 [14:45:12<10:04:13, 1.28s/step] Training: 60%|█████▉ | 41661/70000 [14:45:13<10:11:34, 1.29s/step] Training: 60%|█████▉ | 41662/70000 [14:45:14<9:56:35, 1.26s/step] Training: 60%|█████▉ | 41663/70000 [14:45:16<9:46:09, 1.24s/step] Training: 60%|█████▉ | 41664/70000 [14:45:17<9:38:29, 1.22s/step] Training: 60%|█████▉ | 41665/70000 [14:45:18<9:52:23, 1.25s/step] Training: 60%|█████▉ | 41666/70000 [14:45:20<10:04:40, 1.28s/step] Training: 60%|█████▉ | 41667/70000 [14:45:21<10:21:24, 1.32s/step] Training: 60%|█████▉ | 41668/70000 [14:45:22<10:06:08, 1.28s/step] Training: 60%|█████▉ | 41669/70000 [14:45:23<9:57:22, 1.27s/step] Training: 60%|█████▉ | 41670/70000 [14:45:25<9:46:51, 1.24s/step] Training: 60%|█████▉ | 41671/70000 [14:45:26<9:39:08, 1.23s/step] Training: 60%|█████▉ | 41672/70000 [14:45:27<9:33:41, 1.22s/step] Training: 60%|█████▉ | 41673/70000 [14:45:28<9:32:37, 1.21s/step] Training: 60%|█████▉ | 41674/70000 [14:45:30<10:06:43, 1.29s/step] Training: 60%|█████▉ | 41675/70000 [14:45:31<9:56:18, 1.26s/step] Training: 60%|█████▉ | 41676/70000 [14:45:32<9:45:51, 1.24s/step] Training: 60%|█████▉ | 41677/70000 [14:45:33<10:17:07, 1.31s/step] Training: 60%|█████▉ | 41678/70000 [14:45:35<10:00:13, 1.27s/step] Training: 60%|█████▉ | 41679/70000 [14:45:36<9:48:06, 1.25s/step] Training: 60%|█████▉ | 41680/70000 [14:45:37<9:39:53, 1.23s/step] Training: 60%|█████▉ | 41681/70000 [14:45:38<9:55:44, 1.26s/step] Training: 60%|█████▉ | 41682/70000 [14:45:40<10:14:07, 1.30s/step] Training: 60%|█████▉ | 41683/70000 [14:45:41<10:17:46, 1.31s/step] Training: 60%|█████▉ | 41684/70000 [14:45:42<10:19:14, 1.31s/step] Training: 60%|█████▉ | 41685/70000 [14:45:44<10:22:50, 1.32s/step] Training: 60%|█████▉ | 41686/70000 [14:45:45<10:04:07, 1.28s/step] Training: 60%|█████▉ | 41687/70000 [14:45:46<9:51:14, 1.25s/step] Training: 60%|█████▉ | 41688/70000 [14:45:47<9:42:22, 1.23s/step] Training: 60%|█████▉ | 41689/70000 [14:45:49<10:02:26, 1.28s/step] Training: 60%|█████▉ | 41690/70000 [14:45:50<10:14:59, 1.30s/step] Training: 60%|█████▉ | 41691/70000 [14:45:51<10:15:34, 1.30s/step] Training: 60%|█████▉ | 41692/70000 [14:45:53<10:01:45, 1.28s/step] Training: 60%|█████▉ | 41693/70000 [14:45:54<10:08:19, 1.29s/step] Training: 60%|█████▉ | 41694/70000 [14:45:55<9:54:13, 1.26s/step] Training: 60%|█████▉ | 41695/70000 [14:45:56<9:44:21, 1.24s/step] Training: 60%|█████▉ | 41696/70000 [14:45:57<9:37:15, 1.22s/step] Training: 60%|█████▉ | 41697/70000 [14:45:59<9:51:42, 1.25s/step] Training: 60%|█████▉ | 41698/70000 [14:46:00<10:01:59, 1.28s/step] Training: 60%|█████▉ | 41699/70000 [14:46:02<10:26:29, 1.33s/step] Training: 60%|█████▉ | 41700/70000 [14:46:03<10:12:44, 1.30s/step]INFO 2026-03-13 10:55:55 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.35 loss:0.011 grdn:2.331 lr:9.5e-06 updt_s:1.255 data_s:0.019 Training: 60%|█████▉ | 41701/70000 [14:46:04<10:01:31, 1.28s/step] Training: 60%|█████▉ | 41702/70000 [14:46:05<9:48:46, 1.25s/step] Training: 60%|█████▉ | 41703/70000 [14:46:06<9:40:32, 1.23s/step] Training: 60%|█████▉ | 41704/70000 [14:46:08<9:34:16, 1.22s/step] Training: 60%|█████▉ | 41705/70000 [14:46:09<9:32:51, 1.21s/step] Training: 60%|█████▉ | 41706/70000 [14:46:10<10:07:45, 1.29s/step] Training: 60%|█████▉ | 41707/70000 [14:46:12<10:15:08, 1.30s/step] Training: 60%|█████▉ | 41708/70000 [14:46:13<9:57:54, 1.27s/step] Training: 60%|█████▉ | 41709/70000 [14:46:14<10:23:34, 1.32s/step] Training: 60%|█████▉ | 41710/70000 [14:46:15<10:04:25, 1.28s/step] Training: 60%|█████▉ | 41711/70000 [14:46:17<9:51:08, 1.25s/step] Training: 60%|█████▉ | 41712/70000 [14:46:18<9:41:50, 1.23s/step] Training: 60%|█████▉ | 41713/70000 [14:46:19<9:56:07, 1.26s/step] Training: 60%|█████▉ | 41714/70000 [14:46:20<10:05:29, 1.28s/step] Training: 60%|█████▉ | 41715/70000 [14:46:22<10:25:44, 1.33s/step] Training: 60%|█████▉ | 41716/70000 [14:46:23<10:28:11, 1.33s/step] Training: 60%|█████▉ | 41717/70000 [14:46:25<10:29:11, 1.33s/step] Training: 60%|█████▉ | 41718/70000 [14:46:26<10:09:19, 1.29s/step] Training: 60%|█████▉ | 41719/70000 [14:46:27<9:54:59, 1.26s/step] Training: 60%|█████▉ | 41720/70000 [14:46:28<9:44:53, 1.24s/step] Training: 60%|█████▉ | 41721/70000 [14:46:29<10:00:03, 1.27s/step] Training: 60%|█████▉ | 41722/70000 [14:46:31<10:07:23, 1.29s/step] Training: 60%|█████▉ | 41723/70000 [14:46:32<10:13:23, 1.30s/step] Training: 60%|█████▉ | 41724/70000 [14:46:33<10:17:02, 1.31s/step] Training: 60%|█████▉ | 41725/70000 [14:46:35<10:20:47, 1.32s/step] Training: 60%|█████▉ | 41726/70000 [14:46:36<10:03:16, 1.28s/step] Training: 60%|█████▉ | 41727/70000 [14:46:37<9:49:43, 1.25s/step] Training: 60%|█████▉ | 41728/70000 [14:46:38<9:40:46, 1.23s/step] Training: 60%|█████▉ | 41729/70000 [14:46:40<9:50:18, 1.25s/step] Training: 60%|█████▉ | 41730/70000 [14:46:41<9:44:30, 1.24s/step] Training: 60%|█████▉ | 41731/70000 [14:46:42<10:12:19, 1.30s/step] Training: 60%|█████▉ | 41732/70000 [14:46:44<10:27:38, 1.33s/step] Training: 60%|█████▉ | 41733/70000 [14:46:45<10:09:46, 1.29s/step] Training: 60%|█████▉ | 41734/70000 [14:46:46<9:54:58, 1.26s/step] Training: 60%|█████▉ | 41735/70000 [14:46:47<9:44:29, 1.24s/step] Training: 60%|█████▉ | 41736/70000 [14:46:48<9:37:13, 1.23s/step] Training: 60%|█████▉ | 41737/70000 [14:46:50<9:38:28, 1.23s/step] Training: 60%|█████▉ | 41738/70000 [14:46:51<10:07:30, 1.29s/step] Training: 60%|█████▉ | 41739/70000 [14:46:52<10:14:10, 1.30s/step] Training: 60%|█████▉ | 41740/70000 [14:46:54<10:32:30, 1.34s/step] Training: 60%|█████▉ | 41741/70000 [14:46:55<10:29:15, 1.34s/step] Training: 60%|█████▉ | 41742/70000 [14:46:56<10:09:57, 1.30s/step] Training: 60%|█████▉ | 41743/70000 [14:46:58<9:54:19, 1.26s/step] Training: 60%|█████▉ | 41744/70000 [14:46:59<9:44:11, 1.24s/step] Training: 60%|█████▉ | 41745/70000 [14:47:00<9:57:42, 1.27s/step] Training: 60%|█████▉ | 41746/70000 [14:47:01<10:08:06, 1.29s/step] Training: 60%|█████▉ | 41747/70000 [14:47:03<10:13:04, 1.30s/step] Training: 60%|█████▉ | 41748/70000 [14:47:04<10:21:40, 1.32s/step] Training: 60%|█████▉ | 41749/70000 [14:47:06<10:43:11, 1.37s/step] Training: 60%|█████▉ | 41750/70000 [14:47:07<10:17:53, 1.31s/step] Training: 60%|█████▉ | 41751/70000 [14:47:08<10:01:22, 1.28s/step] Training: 60%|█████▉ | 41752/70000 [14:47:09<9:49:06, 1.25s/step] Training: 60%|█████▉ | 41753/70000 [14:47:11<10:05:46, 1.29s/step] Training: 60%|█████▉ | 41754/70000 [14:47:12<9:52:17, 1.26s/step] Training: 60%|█████▉ | 41755/70000 [14:47:13<10:17:25, 1.31s/step] Training: 60%|█████▉ | 41756/70000 [14:47:15<10:24:03, 1.33s/step] Training: 60%|█████▉ | 41757/70000 [14:47:16<10:24:27, 1.33s/step] Training: 60%|█████▉ | 41758/70000 [14:47:17<10:04:39, 1.28s/step] Training: 60%|█████▉ | 41759/70000 [14:47:18<9:51:34, 1.26s/step] Training: 60%|█████▉ | 41760/70000 [14:47:19<9:41:56, 1.24s/step] Training: 60%|█████▉ | 41761/70000 [14:47:21<9:42:32, 1.24s/step] Training: 60%|█████▉ | 41762/70000 [14:47:22<9:35:45, 1.22s/step] Training: 60%|█████▉ | 41763/70000 [14:47:23<10:06:52, 1.29s/step] Training: 60%|█████▉ | 41764/70000 [14:47:25<10:12:01, 1.30s/step] Training: 60%|█████▉ | 41765/70000 [14:47:26<10:17:31, 1.31s/step] Training: 60%|█████▉ | 41766/70000 [14:47:27<9:58:35, 1.27s/step] Training: 60%|█████▉ | 41767/70000 [14:47:28<9:46:36, 1.25s/step] Training: 60%|█████▉ | 41768/70000 [14:47:30<9:38:36, 1.23s/step] Training: 60%|█████▉ | 41769/70000 [14:47:31<9:54:38, 1.26s/step] Training: 60%|█████▉ | 41770/70000 [14:47:32<10:06:03, 1.29s/step] Training: 60%|█████▉ | 41771/70000 [14:47:34<10:11:35, 1.30s/step] Training: 60%|█████▉ | 41772/70000 [14:47:35<10:00:43, 1.28s/step] Training: 60%|█████▉ | 41773/70000 [14:47:36<10:20:22, 1.32s/step] Training: 60%|█████▉ | 41774/70000 [14:47:37<10:01:54, 1.28s/step] Training: 60%|█████▉ | 41775/70000 [14:47:39<9:49:33, 1.25s/step] Training: 60%|█████▉ | 41776/70000 [14:47:40<9:40:21, 1.23s/step] Training: 60%|█████▉ | 41777/70000 [14:47:41<9:54:23, 1.26s/step] Training: 60%|█████▉ | 41778/70000 [14:47:42<10:05:00, 1.29s/step] Training: 60%|█████▉ | 41779/70000 [14:47:44<10:11:43, 1.30s/step] Training: 60%|█████▉ | 41780/70000 [14:47:45<10:14:28, 1.31s/step] Training: 60%|█████▉ | 41781/70000 [14:47:46<10:17:28, 1.31s/step] Training: 60%|█████▉ | 41782/70000 [14:47:48<10:00:16, 1.28s/step] Training: 60%|█████▉ | 41783/70000 [14:47:49<9:48:15, 1.25s/step] Training: 60%|█████▉ | 41784/70000 [14:47:50<9:38:56, 1.23s/step] Training: 60%|█████▉ | 41785/70000 [14:47:51<9:59:38, 1.28s/step] Training: 60%|█████▉ | 41786/70000 [14:47:53<9:52:46, 1.26s/step] Training: 60%|█████▉ | 41787/70000 [14:47:54<10:02:06, 1.28s/step] Training: 60%|█████▉ | 41788/70000 [14:47:55<10:11:51, 1.30s/step] Training: 60%|█████▉ | 41789/70000 [14:47:57<10:23:19, 1.33s/step] Training: 60%|█████▉ | 41790/70000 [14:47:58<10:06:04, 1.29s/step] Training: 60%|█████▉ | 41791/70000 [14:47:59<9:53:31, 1.26s/step] Training: 60%|█████▉ | 41792/70000 [14:48:00<9:43:15, 1.24s/step] Training: 60%|█████▉ | 41793/70000 [14:48:02<9:43:53, 1.24s/step] Training: 60%|█████▉ | 41794/70000 [14:48:03<9:39:38, 1.23s/step] Training: 60%|█████▉ | 41795/70000 [14:48:04<9:54:27, 1.26s/step] Training: 60%|█████▉ | 41796/70000 [14:48:05<10:01:59, 1.28s/step] Training: 60%|█████▉ | 41797/70000 [14:48:07<9:55:44, 1.27s/step] Training: 60%|█████▉ | 41798/70000 [14:48:08<9:43:51, 1.24s/step] Training: 60%|█████▉ | 41799/70000 [14:48:09<9:36:22, 1.23s/step] Training: 60%|█████▉ | 41800/70000 [14:48:10<9:31:20, 1.22s/step]INFO 2026-03-13 10:58:02 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.43 loss:0.011 grdn:1.044 lr:9.4e-06 updt_s:1.253 data_s:0.019 Training: 60%|█████▉ | 41801/70000 [14:48:12<9:50:07, 1.26s/step] Training: 60%|█████▉ | 41802/70000 [14:48:13<10:00:27, 1.28s/step] Training: 60%|█████▉ | 41803/70000 [14:48:14<10:08:30, 1.29s/step] Training: 60%|█████▉ | 41804/70000 [14:48:15<9:57:01, 1.27s/step] Training: 60%|█████▉ | 41805/70000 [14:48:17<10:04:56, 1.29s/step] Training: 60%|█████▉ | 41806/70000 [14:48:18<10:13:18, 1.31s/step] Training: 60%|█████▉ | 41807/70000 [14:48:19<9:56:05, 1.27s/step] Training: 60%|█████▉ | 41808/70000 [14:48:20<9:44:53, 1.24s/step] Training: 60%|█████▉ | 41809/70000 [14:48:22<9:56:33, 1.27s/step] Training: 60%|█████▉ | 41810/70000 [14:48:23<10:04:16, 1.29s/step] Training: 60%|█████▉ | 41811/70000 [14:48:24<10:10:33, 1.30s/step] Training: 60%|█████▉ | 41812/70000 [14:48:26<10:15:15, 1.31s/step] Training: 60%|█████▉ | 41813/70000 [14:48:27<10:17:16, 1.31s/step] Training: 60%|█████▉ | 41814/70000 [14:48:28<10:13:15, 1.31s/step] Training: 60%|█████▉ | 41815/70000 [14:48:30<9:56:16, 1.27s/step] Training: 60%|█████▉ | 41816/70000 [14:48:31<9:45:15, 1.25s/step] Training: 60%|█████▉ | 41817/70000 [14:48:32<10:02:36, 1.28s/step] Training: 60%|█████▉ | 41818/70000 [14:48:33<9:55:53, 1.27s/step] Training: 60%|█████▉ | 41819/70000 [14:48:35<10:04:17, 1.29s/step] Training: 60%|█████▉ | 41820/70000 [14:48:36<10:10:49, 1.30s/step] Training: 60%|█████▉ | 41821/70000 [14:48:37<10:13:52, 1.31s/step] Training: 60%|█████▉ | 41822/70000 [14:48:39<10:20:06, 1.32s/step] Training: 60%|█████▉ | 41823/70000 [14:48:40<9:59:52, 1.28s/step] Training: 60%|█████▉ | 41824/70000 [14:48:41<9:47:33, 1.25s/step] Training: 60%|█████▉ | 41825/70000 [14:48:42<9:49:46, 1.26s/step] Training: 60%|█████▉ | 41826/70000 [14:48:44<9:43:21, 1.24s/step] Training: 60%|█████▉ | 41827/70000 [14:48:45<9:54:44, 1.27s/step] Training: 60%|█████▉ | 41828/70000 [14:48:46<10:02:37, 1.28s/step] Training: 60%|█████▉ | 41829/70000 [14:48:47<9:52:34, 1.26s/step] Training: 60%|█████▉ | 41830/70000 [14:48:49<10:07:54, 1.29s/step] Training: 60%|█████▉ | 41831/70000 [14:48:50<9:52:07, 1.26s/step] Training: 60%|█████▉ | 41832/70000 [14:48:51<9:41:44, 1.24s/step] Training: 60%|█████▉ | 41833/70000 [14:48:52<9:56:14, 1.27s/step] Training: 60%|█████▉ | 41834/70000 [14:48:54<10:04:27, 1.29s/step] Training: 60%|█████▉ | 41835/70000 [14:48:55<10:09:17, 1.30s/step] Training: 60%|█████▉ | 41836/70000 [14:48:56<9:58:22, 1.27s/step] Training: 60%|█████▉ | 41837/70000 [14:48:58<10:06:17, 1.29s/step] Training: 60%|█████▉ | 41838/70000 [14:48:59<9:51:39, 1.26s/step] Training: 60%|█████▉ | 41839/70000 [14:49:00<10:03:42, 1.29s/step] Training: 60%|█████▉ | 41840/70000 [14:49:01<9:48:46, 1.25s/step] Training: 60%|█████▉ | 41841/70000 [14:49:03<10:00:55, 1.28s/step] Training: 60%|█████▉ | 41842/70000 [14:49:04<10:23:42, 1.33s/step] Training: 60%|█████▉ | 41843/70000 [14:49:06<10:22:41, 1.33s/step] Training: 60%|█████▉ | 41844/70000 [14:49:07<10:22:11, 1.33s/step] Training: 60%|█████▉ | 41845/70000 [14:49:08<10:21:29, 1.32s/step] Training: 60%|█████▉ | 41846/70000 [14:49:09<10:02:05, 1.28s/step] Training: 60%|█████▉ | 41847/70000 [14:49:11<10:12:03, 1.30s/step] Training: 60%|█████▉ | 41848/70000 [14:49:12<9:55:29, 1.27s/step] Training: 60%|█████▉ | 41849/70000 [14:49:13<10:04:41, 1.29s/step] Training: 60%|█████▉ | 41850/70000 [14:49:15<10:08:24, 1.30s/step] Training: 60%|█████▉ | 41851/70000 [14:49:16<10:15:54, 1.31s/step] Training: 60%|█████▉ | 41852/70000 [14:49:17<10:18:29, 1.32s/step] Training: 60%|█████▉ | 41853/70000 [14:49:19<10:20:18, 1.32s/step] Training: 60%|█████▉ | 41854/70000 [14:49:20<10:02:25, 1.28s/step] Training: 60%|█████▉ | 41855/70000 [14:49:21<9:56:06, 1.27s/step] Training: 60%|█████▉ | 41856/70000 [14:49:22<9:44:24, 1.25s/step] Training: 60%|█████▉ | 41857/70000 [14:49:23<9:44:11, 1.25s/step] Training: 60%|█████▉ | 41858/70000 [14:49:25<9:37:51, 1.23s/step] Training: 60%|█████▉ | 41859/70000 [14:49:26<9:50:42, 1.26s/step] Training: 60%|█████▉ | 41860/70000 [14:49:27<9:59:30, 1.28s/step] Training: 60%|█████▉ | 41861/70000 [14:49:28<9:49:57, 1.26s/step] Training: 60%|█████▉ | 41862/70000 [14:49:30<9:40:20, 1.24s/step] Training: 60%|█████▉ | 41863/70000 [14:49:31<9:57:05, 1.27s/step] Training: 60%|█████▉ | 41864/70000 [14:49:32<9:43:32, 1.24s/step] Training: 60%|█████▉ | 41865/70000 [14:49:33<9:39:32, 1.24s/step] Training: 60%|█████▉ | 41866/70000 [14:49:35<10:07:49, 1.30s/step] Training: 60%|█████▉ | 41867/70000 [14:49:36<10:11:57, 1.31s/step] Training: 60%|█████▉ | 41868/70000 [14:49:37<9:58:05, 1.28s/step] Training: 60%|█████▉ | 41869/70000 [14:49:39<10:04:07, 1.29s/step] Training: 60%|█████▉ | 41870/70000 [14:49:40<9:50:22, 1.26s/step] Training: 60%|█████▉ | 41871/70000 [14:49:41<9:46:36, 1.25s/step] Training: 60%|█████▉ | 41872/70000 [14:49:42<9:37:14, 1.23s/step] Training: 60%|█████▉ | 41873/70000 [14:49:44<9:53:41, 1.27s/step] Training: 60%|█████▉ | 41874/70000 [14:49:45<10:03:47, 1.29s/step] Training: 60%|█████▉ | 41875/70000 [14:49:46<10:09:08, 1.30s/step] Training: 60%|█████▉ | 41876/70000 [14:49:48<10:12:36, 1.31s/step] Training: 60%|█████▉ | 41877/70000 [14:49:49<10:15:44, 1.31s/step] Training: 60%|█████▉ | 41878/70000 [14:49:50<9:58:12, 1.28s/step] Training: 60%|█████▉ | 41879/70000 [14:49:51<9:45:51, 1.25s/step] Training: 60%|█████▉ | 41880/70000 [14:49:53<9:58:39, 1.28s/step] Training: 60%|█████▉ | 41881/70000 [14:49:54<10:03:56, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=14392 Training: 60%|█████▉ | 41882/70000 [14:49:55<10:05:57, 1.29s/step] Training: 60%|█████▉ | 41883/70000 [14:49:57<10:10:39, 1.30s/step] Training: 60%|█████▉ | 41884/70000 [14:49:58<10:13:33, 1.31s/step] Training: 60%|█████▉ | 41885/70000 [14:49:59<10:16:01, 1.31s/step] Training: 60%|█████▉ | 41886/70000 [14:50:00<9:59:25, 1.28s/step] Training: 60%|█████▉ | 41887/70000 [14:50:02<9:45:32, 1.25s/step] Training: 60%|█████▉ | 41888/70000 [14:50:03<9:54:24, 1.27s/step] Training: 60%|█████▉ | 41889/70000 [14:50:04<9:47:22, 1.25s/step] Training: 60%|█████▉ | 41890/70000 [14:50:05<9:41:27, 1.24s/step] Training: 60%|█████▉ | 41891/70000 [14:50:07<9:53:52, 1.27s/step] Training: 60%|█████▉ | 41892/70000 [14:50:08<10:01:14, 1.28s/step] Training: 60%|█████▉ | 41893/70000 [14:50:09<9:51:43, 1.26s/step] Training: 60%|█████▉ | 41894/70000 [14:50:10<9:43:16, 1.25s/step] Training: 60%|█████▉ | 41895/70000 [14:50:12<9:37:00, 1.23s/step] Training: 60%|█████▉ | 41896/70000 [14:50:13<9:56:26, 1.27s/step] Training: 60%|█████▉ | 41897/70000 [14:50:14<9:47:35, 1.25s/step] Training: 60%|█████▉ | 41898/70000 [14:50:16<9:58:22, 1.28s/step] Training: 60%|█████▉ | 41899/70000 [14:50:17<10:04:31, 1.29s/step] Training: 60%|█████▉ | 41900/70000 [14:50:18<9:52:56, 1.27s/step] INFO 2026-03-13 11:00:10 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.51 loss:0.011 grdn:1.175 lr:9.4e-06 updt_s:1.259 data_s:0.018 Training: 60%|█████▉ | 41901/70000 [14:50:19<10:02:06, 1.29s/step] Training: 60%|█████▉ | 41902/70000 [14:50:21<9:48:45, 1.26s/step] Training: 60%|█████▉ | 41903/70000 [14:50:22<9:39:49, 1.24s/step] Training: 60%|█████▉ | 41904/70000 [14:50:23<9:33:25, 1.22s/step] Training: 60%|█████▉ | 41905/70000 [14:50:24<10:03:13, 1.29s/step] Training: 60%|█████▉ | 41906/70000 [14:50:26<10:16:21, 1.32s/step] Training: 60%|█████▉ | 41907/70000 [14:50:27<10:17:59, 1.32s/step] Training: 60%|█████▉ | 41908/70000 [14:50:29<10:19:38, 1.32s/step] Training: 60%|█████▉ | 41909/70000 [14:50:30<10:19:24, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=14392 Training: 60%|█████▉ | 41910/70000 [14:50:31<10:00:56, 1.28s/step] Training: 60%|█████▉ | 41911/70000 [14:50:32<9:47:58, 1.26s/step] Training: 60%|█████▉ | 41912/70000 [14:50:33<9:38:26, 1.24s/step] Training: 60%|█████▉ | 41913/70000 [14:50:35<10:04:10, 1.29s/step] Training: 60%|█████▉ | 41914/70000 [14:50:36<10:01:11, 1.28s/step] Training: 60%|█████▉ | 41915/70000 [14:50:37<10:06:18, 1.30s/step] Training: 60%|█████▉ | 41916/70000 [14:50:39<10:11:07, 1.31s/step] Training: 60%|█████▉ | 41917/70000 [14:50:40<10:14:43, 1.31s/step] Training: 60%|█████▉ | 41918/70000 [14:50:41<9:57:20, 1.28s/step] Training: 60%|█████▉ | 41919/70000 [14:50:42<9:45:31, 1.25s/step] Training: 60%|█████▉ | 41920/70000 [14:50:44<9:37:04, 1.23s/step] Training: 60%|█████▉ | 41921/70000 [14:50:45<9:36:43, 1.23s/step] Training: 60%|█████▉ | 41922/70000 [14:50:46<9:51:32, 1.26s/step] Training: 60%|█████▉ | 41923/70000 [14:50:48<10:00:42, 1.28s/step] Training: 60%|█████▉ | 41924/70000 [14:50:49<10:06:30, 1.30s/step] Training: 60%|█████▉ | 41925/70000 [14:50:50<9:55:09, 1.27s/step] Training: 60%|█████▉ | 41926/70000 [14:50:51<9:43:49, 1.25s/step] Training: 60%|█████▉ | 41927/70000 [14:50:52<9:36:00, 1.23s/step] Training: 60%|█████▉ | 41928/70000 [14:50:54<9:30:13, 1.22s/step] Training: 60%|█████▉ | 41929/70000 [14:50:55<9:36:18, 1.23s/step] Training: 60%|█████▉ | 41930/70000 [14:50:56<9:51:22, 1.26s/step] Training: 60%|█████▉ | 41931/70000 [14:50:58<10:00:13, 1.28s/step] Training: 60%|█████▉ | 41932/70000 [14:50:59<9:51:13, 1.26s/step] Training: 60%|█████▉ | 41933/70000 [14:51:00<10:01:18, 1.29s/step] Training: 60%|█████▉ | 41934/70000 [14:51:01<9:48:38, 1.26s/step] Training: 60%|█████▉ | 41935/70000 [14:51:03<9:38:41, 1.24s/step] Training: 60%|█████▉ | 41936/70000 [14:51:04<9:31:44, 1.22s/step] Training: 60%|█████▉ | 41937/70000 [14:51:05<9:46:32, 1.25s/step] Training: 60%|█████▉ | 41938/70000 [14:51:06<10:02:06, 1.29s/step] Training: 60%|█████▉ | 41939/70000 [14:51:08<10:08:23, 1.30s/step] Training: 60%|█████▉ | 41940/70000 [14:51:09<10:11:09, 1.31s/step] Training: 60%|█████▉ | 41941/70000 [14:51:10<10:13:49, 1.31s/step] Training: 60%|█████▉ | 41942/70000 [14:51:12<9:56:45, 1.28s/step] Training: 60%|█████▉ | 41943/70000 [14:51:13<9:45:07, 1.25s/step] Training: 60%|█████▉ | 41944/70000 [14:51:14<9:36:35, 1.23s/step] Training: 60%|█████▉ | 41945/70000 [14:51:15<9:49:18, 1.26s/step] Training: 60%|█████▉ | 41946/70000 [14:51:17<10:02:37, 1.29s/step] Training: 60%|█████▉ | 41947/70000 [14:51:18<10:06:55, 1.30s/step] Training: 60%|█████▉ | 41948/70000 [14:51:19<10:11:29, 1.31s/step] Training: 60%|█████▉ | 41949/70000 [14:51:21<10:14:22, 1.31s/step] Training: 60%|█████▉ | 41950/70000 [14:51:22<9:56:37, 1.28s/step] Training: 60%|█████▉ | 41951/70000 [14:51:23<9:44:10, 1.25s/step] Training: 60%|█████▉ | 41952/70000 [14:51:24<9:35:47, 1.23s/step] Training: 60%|█████▉ | 41953/70000 [14:51:25<9:35:38, 1.23s/step] Training: 60%|█████▉ | 41954/70000 [14:51:27<9:59:50, 1.28s/step] Training: 60%|█████▉ | 41955/70000 [14:51:28<10:06:19, 1.30s/step] Training: 60%|█████▉ | 41956/70000 [14:51:29<10:10:23, 1.31s/step] Training: 60%|█████▉ | 41957/70000 [14:51:31<9:56:47, 1.28s/step] Training: 60%|█████▉ | 41958/70000 [14:51:32<9:45:00, 1.25s/step] Training: 60%|█████▉ | 41959/70000 [14:51:33<9:37:13, 1.24s/step] Training: 60%|█████▉ | 41960/70000 [14:51:34<9:31:11, 1.22s/step] Training: 60%|█████▉ | 41961/70000 [14:51:35<9:29:27, 1.22s/step] Training: 60%|█████▉ | 41962/70000 [14:51:37<9:25:29, 1.21s/step] Training: 60%|█████▉ | 41963/70000 [14:51:38<9:55:00, 1.27s/step] Training: 60%|█████▉ | 41964/70000 [14:51:39<9:46:55, 1.26s/step] Training: 60%|█████▉ | 41965/70000 [14:51:41<9:57:16, 1.28s/step] Training: 60%|█████▉ | 41966/70000 [14:51:42<9:44:44, 1.25s/step] Training: 60%|█████▉ | 41967/70000 [14:51:43<9:36:36, 1.23s/step] Training: 60%|█████▉ | 41968/70000 [14:51:44<9:30:30, 1.22s/step] Training: 60%|█████▉ | 41969/70000 [14:51:46<9:45:34, 1.25s/step] Training: 60%|█████▉ | 41970/70000 [14:51:47<10:00:38, 1.29s/step] Training: 60%|█████▉ | 41971/70000 [14:51:48<10:16:04, 1.32s/step] Training: 60%|█████▉ | 41972/70000 [14:51:50<10:16:12, 1.32s/step] Training: 60%|█████▉ | 41973/70000 [14:51:51<10:16:54, 1.32s/step] Training: 60%|█████▉ | 41974/70000 [14:51:52<9:58:11, 1.28s/step] Training: 60%|█████▉ | 41975/70000 [14:51:53<9:45:19, 1.25s/step] Training: 60%|█████▉ | 41976/70000 [14:51:55<9:36:03, 1.23s/step] Training: 60%|█████▉ | 41977/70000 [14:51:56<9:49:31, 1.26s/step] Training: 60%|█████▉ | 41978/70000 [14:51:57<9:41:13, 1.24s/step] Training: 60%|█████▉ | 41979/70000 [14:51:58<10:08:32, 1.30s/step] Training: 60%|█████▉ | 41980/70000 [14:52:00<10:11:18, 1.31s/step] Training: 60%|█████▉ | 41981/70000 [14:52:01<10:13:15, 1.31s/step] Training: 60%|█████▉ | 41982/70000 [14:52:02<9:55:28, 1.28s/step] Training: 60%|█████▉ | 41983/70000 [14:52:03<9:43:45, 1.25s/step] Training: 60%|█████▉ | 41984/70000 [14:52:05<9:35:25, 1.23s/step] Training: 60%|█████▉ | 41985/70000 [14:52:06<9:36:06, 1.23s/step] Training: 60%|█████▉ | 41986/70000 [14:52:07<9:35:09, 1.23s/step] Training: 60%|█████▉ | 41987/70000 [14:52:09<10:04:32, 1.29s/step] Training: 60%|█████▉ | 41988/70000 [14:52:10<10:08:45, 1.30s/step] Training: 60%|█████▉ | 41989/70000 [14:52:11<9:55:09, 1.27s/step] Training: 60%|█████▉ | 41990/70000 [14:52:12<9:42:56, 1.25s/step] Training: 60%|█████▉ | 41991/70000 [14:52:14<9:34:41, 1.23s/step] Training: 60%|█████▉ | 41992/70000 [14:52:15<9:29:01, 1.22s/step] Training: 60%|█████▉ | 41993/70000 [14:52:16<9:28:41, 1.22s/step] Training: 60%|█████▉ | 41994/70000 [14:52:17<9:24:51, 1.21s/step] Training: 60%|█████▉ | 41995/70000 [14:52:19<9:58:44, 1.28s/step] Training: 60%|█████▉ | 41996/70000 [14:52:20<9:48:13, 1.26s/step] Training: 60%|█████▉ | 41997/70000 [14:52:21<9:58:36, 1.28s/step] Training: 60%|█████▉ | 41998/70000 [14:52:22<9:45:22, 1.25s/step] Training: 60%|█████▉ | 41999/70000 [14:52:23<9:36:18, 1.23s/step] Training: 60%|██████ | 42000/70000 [14:52:25<9:30:04, 1.22s/step]INFO 2026-03-13 11:02:17 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.60 loss:0.011 grdn:2.213 lr:9.3e-06 updt_s:1.244 data_s:0.019 Training: 60%|██████ | 42001/70000 [14:52:26<9:46:45, 1.26s/step] Training: 60%|██████ | 42002/70000 [14:52:27<9:59:48, 1.29s/step] Training: 60%|██████ | 42003/70000 [14:52:29<10:13:57, 1.32s/step] Training: 60%|██████ | 42004/70000 [14:52:30<10:15:16, 1.32s/step] Training: 60%|██████ | 42005/70000 [14:52:31<10:15:59, 1.32s/step] Training: 60%|██████ | 42006/70000 [14:52:33<9:57:45, 1.28s/step] Training: 60%|██████ | 42007/70000 [14:52:34<9:45:29, 1.25s/step] Training: 60%|██████ | 42008/70000 [14:52:35<9:36:11, 1.24s/step] Training: 60%|██████ | 42009/70000 [14:52:36<9:48:31, 1.26s/step] Training: 60%|██████ | 42010/70000 [14:52:38<9:57:37, 1.28s/step] Training: 60%|██████ | 42011/70000 [14:52:39<10:03:28, 1.29s/step] Training: 60%|██████ | 42012/70000 [14:52:40<10:07:50, 1.30s/step] Training: 60%|██████ | 42013/70000 [14:52:42<10:10:48, 1.31s/step] Training: 60%|██████ | 42014/70000 [14:52:43<9:54:50, 1.28s/step] Training: 60%|██████ | 42015/70000 [14:52:44<9:41:51, 1.25s/step] Training: 60%|██████ | 42016/70000 [14:52:45<9:33:31, 1.23s/step] Training: 60%|██████ | 42017/70000 [14:52:46<9:37:33, 1.24s/step] Training: 60%|██████ | 42018/70000 [14:52:48<9:49:07, 1.26s/step] Training: 60%|██████ | 42019/70000 [14:52:49<9:57:55, 1.28s/step] Training: 60%|██████ | 42020/70000 [14:52:50<10:18:58, 1.33s/step] Training: 60%|██████ | 42021/70000 [14:52:52<10:03:18, 1.29s/step] Training: 60%|██████ | 42022/70000 [14:52:53<9:49:02, 1.26s/step] Training: 60%|██████ | 42023/70000 [14:52:54<9:38:48, 1.24s/step] Training: 60%|██████ | 42024/70000 [14:52:55<9:32:02, 1.23s/step] Training: 60%|██████ | 42025/70000 [14:52:56<9:29:18, 1.22s/step] Training: 60%|██████ | 42026/70000 [14:52:58<9:29:29, 1.22s/step] Training: 60%|██████ | 42027/70000 [14:52:59<9:45:41, 1.26s/step] Training: 60%|██████ | 42028/70000 [14:53:00<9:51:26, 1.27s/step] Training: 60%|██████ | 42029/70000 [14:53:02<9:58:33, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=14392 Training: 60%|██████ | 42030/70000 [14:53:03<9:45:28, 1.26s/step] Training: 60%|██████ | 42031/70000 [14:53:04<9:36:26, 1.24s/step] Training: 60%|██████ | 42032/70000 [14:53:05<9:30:20, 1.22s/step] Training: 60%|██████ | 42033/70000 [14:53:07<9:45:09, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=14392 Training: 60%|██████ | 42034/70000 [14:53:08<9:57:15, 1.28s/step] Training: 60%|██████ | 42035/70000 [14:53:09<10:02:40, 1.29s/step] Training: 60%|██████ | 42036/70000 [14:53:11<10:10:23, 1.31s/step] Training: 60%|██████ | 42037/70000 [14:53:12<10:11:10, 1.31s/step] Training: 60%|██████ | 42038/70000 [14:53:13<9:54:28, 1.28s/step] Training: 60%|██████ | 42039/70000 [14:53:14<9:41:41, 1.25s/step] Training: 60%|██████ | 42040/70000 [14:53:15<9:33:19, 1.23s/step] Training: 60%|██████ | 42041/70000 [14:53:17<9:46:51, 1.26s/step] Training: 60%|██████ | 42042/70000 [14:53:18<9:57:47, 1.28s/step] Training: 60%|██████ | 42043/70000 [14:53:19<10:04:36, 1.30s/step] Training: 60%|██████ | 42044/70000 [14:53:21<10:11:55, 1.31s/step] Training: 60%|██████ | 42045/70000 [14:53:22<10:13:31, 1.32s/step] Training: 60%|██████ | 42046/70000 [14:53:23<9:56:55, 1.28s/step] Training: 60%|██████ | 42047/70000 [14:53:25<9:43:44, 1.25s/step] Training: 60%|██████ | 42048/70000 [14:53:26<9:35:46, 1.24s/step] Training: 60%|██████ | 42049/70000 [14:53:27<9:35:48, 1.24s/step] Training: 60%|██████ | 42050/70000 [14:53:28<9:50:18, 1.27s/step] Training: 60%|██████ | 42051/70000 [14:53:30<10:04:27, 1.30s/step] Training: 60%|██████ | 42052/70000 [14:53:31<10:09:14, 1.31s/step] Training: 60%|██████ | 42053/70000 [14:53:32<10:16:18, 1.32s/step] Training: 60%|██████ | 42054/70000 [14:53:34<9:57:17, 1.28s/step] Training: 60%|██████ | 42055/70000 [14:53:35<9:43:38, 1.25s/step] Training: 60%|██████ | 42056/70000 [14:53:36<9:34:33, 1.23s/step] Training: 60%|██████ | 42057/70000 [14:53:37<9:33:29, 1.23s/step] Training: 60%|██████ | 42058/70000 [14:53:38<9:33:23, 1.23s/step] Training: 60%|██████ | 42059/70000 [14:53:40<9:49:03, 1.26s/step] Training: 60%|██████ | 42060/70000 [14:53:41<9:42:38, 1.25s/step] Training: 60%|██████ | 42061/70000 [14:53:42<10:08:14, 1.31s/step] Training: 60%|██████ | 42062/70000 [14:53:44<9:52:13, 1.27s/step] Training: 60%|██████ | 42063/70000 [14:53:45<9:39:58, 1.25s/step] Training: 60%|██████ | 42064/70000 [14:53:46<9:32:29, 1.23s/step] Training: 60%|██████ | 42065/70000 [14:53:47<9:45:32, 1.26s/step] Training: 60%|██████ | 42066/70000 [14:53:49<9:56:53, 1.28s/step] Training: 60%|██████ | 42067/70000 [14:53:50<10:05:28, 1.30s/step] Training: 60%|██████ | 42068/70000 [14:53:51<10:08:59, 1.31s/step] Training: 60%|██████ | 42069/70000 [14:53:53<10:15:49, 1.32s/step] Training: 60%|██████ | 42070/70000 [14:53:54<9:57:28, 1.28s/step] Training: 60%|██████ | 42071/70000 [14:53:55<9:44:03, 1.25s/step] Training: 60%|██████ | 42072/70000 [14:53:56<9:34:35, 1.23s/step] Training: 60%|██████ | 42073/70000 [14:53:58<9:47:47, 1.26s/step] Training: 60%|██████ | 42074/70000 [14:53:59<9:57:38, 1.28s/step] Training: 60%|██████ | 42075/70000 [14:54:00<10:05:08, 1.30s/step] Training: 60%|██████ | 42076/70000 [14:54:02<10:09:37, 1.31s/step] Training: 60%|██████ | 42077/70000 [14:54:03<10:12:14, 1.32s/step] Training: 60%|██████ | 42078/70000 [14:54:04<9:55:48, 1.28s/step] Training: 60%|██████ | 42079/70000 [14:54:05<9:41:47, 1.25s/step] Training: 60%|██████ | 42080/70000 [14:54:06<9:33:08, 1.23s/step] Training: 60%|██████ | 42081/70000 [14:54:08<9:33:36, 1.23s/step] Training: 60%|██████ | 42082/70000 [14:54:09<9:49:08, 1.27s/step] Training: 60%|██████ | 42083/70000 [14:54:10<10:04:35, 1.30s/step] Training: 60%|██████ | 42084/70000 [14:54:12<10:09:42, 1.31s/step] Training: 60%|██████ | 42085/70000 [14:54:13<9:56:04, 1.28s/step] Training: 60%|██████ | 42086/70000 [14:54:14<10:05:19, 1.30s/step] Training: 60%|██████ | 42087/70000 [14:54:15<9:48:40, 1.27s/step] Training: 60%|██████ | 42088/70000 [14:54:17<9:38:08, 1.24s/step] Training: 60%|██████ | 42089/70000 [14:54:18<9:36:52, 1.24s/step] Training: 60%|██████ | 42090/70000 [14:54:19<9:33:56, 1.23s/step] Training: 60%|██████ | 42091/70000 [14:54:20<9:47:26, 1.26s/step] Training: 60%|██████ | 42092/70000 [14:54:22<9:39:50, 1.25s/step] Training: 60%|██████ | 42093/70000 [14:54:23<9:52:51, 1.27s/step] Training: 60%|██████ | 42094/70000 [14:54:24<9:51:13, 1.27s/step] Training: 60%|██████ | 42095/70000 [14:54:25<9:40:04, 1.25s/step] Training: 60%|██████ | 42096/70000 [14:54:27<9:31:57, 1.23s/step] Training: 60%|██████ | 42097/70000 [14:54:28<9:45:50, 1.26s/step] Training: 60%|██████ | 42098/70000 [14:54:29<9:57:10, 1.28s/step] Training: 60%|██████ | 42099/70000 [14:54:31<10:03:39, 1.30s/step] Training: 60%|██████ | 42100/70000 [14:54:32<10:06:47, 1.30s/step]INFO 2026-03-13 11:04:24 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.68 loss:0.012 grdn:1.271 lr:9.3e-06 updt_s:1.252 data_s:0.019 Training: 60%|██████ | 42101/70000 [14:54:33<10:10:13, 1.31s/step] Training: 60%|██████ | 42102/70000 [14:54:34<9:52:54, 1.28s/step] Training: 60%|██████ | 42103/70000 [14:54:36<10:02:14, 1.30s/step] Training: 60%|██████ | 42104/70000 [14:54:37<9:45:57, 1.26s/step] Training: 60%|██████ | 42105/70000 [14:54:38<9:36:30, 1.24s/step] Training: 60%|██████ | 42106/70000 [14:54:40<10:03:28, 1.30s/step] Training: 60%|██████ | 42107/70000 [14:54:41<10:08:51, 1.31s/step] Training: 60%|██████ | 42108/70000 [14:54:42<10:11:41, 1.32s/step] Training: 60%|██████ | 42109/70000 [14:54:44<10:00:04, 1.29s/step] Training: 60%|██████ | 42110/70000 [14:54:45<10:10:01, 1.31s/step] Training: 60%|██████ | 42111/70000 [14:54:46<9:51:54, 1.27s/step] Training: 60%|██████ | 42112/70000 [14:54:47<9:40:02, 1.25s/step] Training: 60%|██████ | 42113/70000 [14:54:48<9:31:56, 1.23s/step] Training: 60%|██████ | 42114/70000 [14:54:50<10:04:14, 1.30s/step] Training: 60%|██████ | 42115/70000 [14:54:51<10:15:52, 1.33s/step] Training: 60%|██████ | 42116/70000 [14:54:53<10:16:26, 1.33s/step] Training: 60%|██████ | 42117/70000 [14:54:54<10:00:14, 1.29s/step] Training: 60%|██████ | 42118/70000 [14:54:55<9:46:38, 1.26s/step] Training: 60%|██████ | 42119/70000 [14:54:56<9:57:51, 1.29s/step] Training: 60%|██████ | 42120/70000 [14:54:58<9:43:14, 1.26s/step] Training: 60%|██████ | 42121/70000 [14:54:59<9:34:19, 1.24s/step] Training: 60%|██████ | 42122/70000 [14:55:00<9:30:27, 1.23s/step] Training: 60%|██████ | 42123/70000 [14:55:01<9:44:11, 1.26s/step] Training: 60%|██████ | 42124/70000 [14:55:02<9:36:04, 1.24s/step] Training: 60%|██████ | 42125/70000 [14:55:04<9:48:30, 1.27s/step] Training: 60%|██████ | 42126/70000 [14:55:05<9:38:11, 1.24s/step] Training: 60%|██████ | 42127/70000 [14:55:06<9:52:14, 1.27s/step] Training: 60%|██████ | 42128/70000 [14:55:08<9:39:16, 1.25s/step] Training: 60%|██████ | 42129/70000 [14:55:09<9:31:18, 1.23s/step] Training: 60%|██████ | 42130/70000 [14:55:10<9:54:09, 1.28s/step] Training: 60%|██████ | 42131/70000 [14:55:11<9:59:56, 1.29s/step] Training: 60%|██████ | 42132/70000 [14:55:13<10:06:34, 1.31s/step] Training: 60%|██████ | 42133/70000 [14:55:14<10:08:50, 1.31s/step] Training: 60%|██████ | 42134/70000 [14:55:15<9:51:14, 1.27s/step] [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=63778 Training: 60%|██████ | 42135/70000 [14:55:16<9:39:52, 1.25s/step] Training: 60%|██████ | 42136/70000 [14:55:18<9:30:46, 1.23s/step] Training: 60%|██████ | 42137/70000 [14:55:19<9:24:52, 1.22s/step] Training: 60%|██████ | 42138/70000 [14:55:20<9:40:57, 1.25s/step] Training: 60%|██████ | 42139/70000 [14:55:21<9:51:08, 1.27s/step] Training: 60%|██████ | 42140/70000 [14:55:23<9:58:46, 1.29s/step] Training: 60%|██████ | 42141/70000 [14:55:24<9:50:54, 1.27s/step] Training: 60%|██████ | 42142/70000 [14:55:25<9:38:50, 1.25s/step] Training: 60%|██████ | 42143/70000 [14:55:26<9:39:24, 1.25s/step] Training: 60%|██████ | 42144/70000 [14:55:28<9:30:54, 1.23s/step] Training: 60%|██████ | 42145/70000 [14:55:29<9:25:43, 1.22s/step] Training: 60%|██████ | 42146/70000 [14:55:30<9:40:46, 1.25s/step] Training: 60%|██████ | 42147/70000 [14:55:32<9:56:01, 1.28s/step] Training: 60%|██████ | 42148/70000 [14:55:33<10:13:43, 1.32s/step] Training: 60%|██████ | 42149/70000 [14:55:34<9:58:02, 1.29s/step] Training: 60%|██████ | 42150/70000 [14:55:35<9:44:36, 1.26s/step] Training: 60%|██████ | 42151/70000 [14:55:37<9:42:39, 1.26s/step] Training: 60%|██████ | 42152/70000 [14:55:38<9:32:23, 1.23s/step] Training: 60%|██████ | 42153/70000 [14:55:39<9:26:39, 1.22s/step] Training: 60%|██████ | 42154/70000 [14:55:40<9:41:11, 1.25s/step] Training: 60%|██████ | 42155/70000 [14:55:42<9:52:45, 1.28s/step] Training: 60%|██████ | 42156/70000 [14:55:43<10:00:54, 1.29s/step] Training: 60%|██████ | 42157/70000 [14:55:44<10:05:15, 1.30s/step] Training: 60%|██████ | 42158/70000 [14:55:45<9:49:08, 1.27s/step] Training: 60%|██████ | 42159/70000 [14:55:47<9:37:38, 1.24s/step] Training: 60%|██████ | 42160/70000 [14:55:48<9:50:55, 1.27s/step] Training: 60%|██████ | 42161/70000 [14:55:49<9:38:33, 1.25s/step] Training: 60%|██████ | 42162/70000 [14:55:51<9:51:34, 1.28s/step] Training: 60%|██████ | 42163/70000 [14:55:52<9:59:13, 1.29s/step] Training: 60%|██████ | 42164/70000 [14:55:53<10:03:37, 1.30s/step] Training: 60%|██████ | 42165/70000 [14:55:55<10:07:34, 1.31s/step] Training: 60%|██████ | 42166/70000 [14:55:56<9:50:54, 1.27s/step] Training: 60%|██████ | 42167/70000 [14:55:57<9:38:50, 1.25s/step] Training: 60%|██████ | 42168/70000 [14:55:58<9:44:23, 1.26s/step] Training: 60%|██████ | 42169/70000 [14:55:59<9:33:24, 1.24s/step] Training: 60%|██████ | 42170/70000 [14:56:01<9:47:55, 1.27s/step] Training: 60%|██████ | 42171/70000 [14:56:02<9:56:45, 1.29s/step] Training: 60%|██████ | 42172/70000 [14:56:03<10:06:28, 1.31s/step] Training: 60%|██████ | 42173/70000 [14:56:05<9:55:55, 1.28s/step] Training: 60%|██████ | 42174/70000 [14:56:06<9:43:07, 1.26s/step] Training: 60%|██████ | 42175/70000 [14:56:07<9:33:30, 1.24s/step] Training: 60%|██████ | 42176/70000 [14:56:08<9:48:57, 1.27s/step] Training: 60%|██████ | 42177/70000 [14:56:10<9:36:23, 1.24s/step] Training: 60%|██████ | 42178/70000 [14:56:11<9:50:26, 1.27s/step] Training: 60%|██████ | 42179/70000 [14:56:12<10:03:32, 1.30s/step] Training: 60%|██████ | 42180/70000 [14:56:14<10:06:27, 1.31s/step] Training: 60%|██████ | 42181/70000 [14:56:15<9:53:02, 1.28s/step] Training: 60%|██████ | 42182/70000 [14:56:16<9:41:12, 1.25s/step] Training: 60%|██████ | 42183/70000 [14:56:17<9:31:49, 1.23s/step] Training: 60%|██████ | 42184/70000 [14:56:19<9:49:56, 1.27s/step] Training: 60%|██████ | 42185/70000 [14:56:20<9:36:45, 1.24s/step] Training: 60%|██████ | 42186/70000 [14:56:21<9:48:17, 1.27s/step] Training: 60%|██████ | 42187/70000 [14:56:22<9:56:57, 1.29s/step] Training: 60%|██████ | 42188/70000 [14:56:24<9:44:33, 1.26s/step] Training: 60%|██████ | 42189/70000 [14:56:25<10:11:35, 1.32s/step] Training: 60%|██████ | 42190/70000 [14:56:26<9:53:28, 1.28s/step] Training: 60%|██████ | 42191/70000 [14:56:27<9:40:27, 1.25s/step] Training: 60%|██████ | 42192/70000 [14:56:29<9:31:55, 1.23s/step] Training: 60%|██████ | 42193/70000 [14:56:30<9:46:43, 1.27s/step] Training: 60%|██████ | 42194/70000 [14:56:31<9:55:01, 1.28s/step] Training: 60%|██████ | 42195/70000 [14:56:33<10:01:47, 1.30s/step] Training: 60%|██████ | 42196/70000 [14:56:34<10:05:23, 1.31s/step] Training: 60%|██████ | 42197/70000 [14:56:35<10:10:09, 1.32s/step] Training: 60%|██████ | 42198/70000 [14:56:36<9:52:10, 1.28s/step] Training: 60%|██████ | 42199/70000 [14:56:38<9:39:33, 1.25s/step] Training: 60%|██████ | 42200/70000 [14:56:39<9:30:48, 1.23s/step]INFO 2026-03-13 11:06:31 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.77 loss:0.011 grdn:1.629 lr:9.2e-06 updt_s:1.248 data_s:0.019 Training: 60%|██████ | 42201/70000 [14:56:40<9:46:10, 1.27s/step] Training: 60%|██████ | 42202/70000 [14:56:41<9:54:36, 1.28s/step] Training: 60%|██████ | 42203/70000 [14:56:43<10:01:54, 1.30s/step] Training: 60%|██████ | 42204/70000 [14:56:44<10:07:25, 1.31s/step] Training: 60%|██████ | 42205/70000 [14:56:45<9:55:57, 1.29s/step] Training: 60%|██████ | 42206/70000 [14:56:47<9:42:40, 1.26s/step] Training: 60%|██████ | 42207/70000 [14:56:48<9:33:11, 1.24s/step] Training: 60%|██████ | 42208/70000 [14:56:49<9:26:30, 1.22s/step] Training: 60%|██████ | 42209/70000 [14:56:50<9:43:52, 1.26s/step] Training: 60%|██████ | 42210/70000 [14:56:52<9:53:20, 1.28s/step] Training: 60%|██████ | 42211/70000 [14:56:53<10:03:20, 1.30s/step] Training: 60%|██████ | 42212/70000 [14:56:54<10:06:02, 1.31s/step] Training: 60%|██████ | 42213/70000 [14:56:56<9:55:48, 1.29s/step] Training: 60%|██████ | 42214/70000 [14:56:57<9:43:02, 1.26s/step] Training: 60%|██████ | 42215/70000 [14:56:58<9:33:24, 1.24s/step] Training: 60%|██████ | 42216/70000 [14:56:59<9:26:47, 1.22s/step] Training: 60%|██████ | 42217/70000 [14:57:00<9:44:21, 1.26s/step] Training: 60%|██████ | 42218/70000 [14:57:02<9:53:52, 1.28s/step] Training: 60%|██████ | 42219/70000 [14:57:03<9:50:39, 1.28s/step] Training: 60%|██████ | 42220/70000 [14:57:04<9:42:21, 1.26s/step] Training: 60%|██████ | 42221/70000 [14:57:06<10:09:12, 1.32s/step] Training: 60%|██████ | 42222/70000 [14:57:07<9:51:31, 1.28s/step] Training: 60%|██████ | 42223/70000 [14:57:08<9:40:07, 1.25s/step] Training: 60%|██████ | 42224/70000 [14:57:09<9:31:00, 1.23s/step] Training: 60%|██████ | 42225/70000 [14:57:11<9:30:38, 1.23s/step] Training: 60%|██████ | 42226/70000 [14:57:12<9:44:57, 1.26s/step] Training: 60%|██████ | 42227/70000 [14:57:13<9:53:46, 1.28s/step] Training: 60%|██████ | 42228/70000 [14:57:15<10:01:10, 1.30s/step] Training: 60%|██████ | 42229/70000 [14:57:16<10:05:25, 1.31s/step] Training: 60%|██████ | 42230/70000 [14:57:17<9:48:59, 1.27s/step] Training: 60%|██████ | 42231/70000 [14:57:18<9:37:25, 1.25s/step] Training: 60%|██████ | 42232/70000 [14:57:19<9:29:07, 1.23s/step] Training: 60%|██████ | 42233/70000 [14:57:21<9:24:17, 1.22s/step] Training: 60%|██████ | 42234/70000 [14:57:22<9:56:22, 1.29s/step] Training: 60%|██████ | 42235/70000 [14:57:23<10:02:58, 1.30s/step] Training: 60%|██████ | 42236/70000 [14:57:25<10:12:03, 1.32s/step] Training: 60%|██████ | 42237/70000 [14:57:26<9:59:47, 1.30s/step] Training: 60%|██████ | 42238/70000 [14:57:27<9:45:24, 1.27s/step] Training: 60%|██████ | 42239/70000 [14:57:28<9:34:53, 1.24s/step] Training: 60%|██████ | 42240/70000 [14:57:30<9:27:21, 1.23s/step] Training: 60%|██████ | 42241/70000 [14:57:31<9:22:06, 1.21s/step] Training: 60%|██████ | 42242/70000 [14:57:32<9:53:42, 1.28s/step] Training: 60%|██████ | 42243/70000 [14:57:34<10:04:00, 1.31s/step] Training: 60%|██████ | 42244/70000 [14:57:35<10:07:51, 1.31s/step] Training: 60%|██████ | 42245/70000 [14:57:36<9:53:41, 1.28s/step] Training: 60%|██████ | 42246/70000 [14:57:37<9:40:34, 1.26s/step] Training: 60%|██████ | 42247/70000 [14:57:39<9:32:01, 1.24s/step] Training: 60%|██████ | 42248/70000 [14:57:40<9:25:20, 1.22s/step] Training: 60%|██████ | 42249/70000 [14:57:41<9:21:03, 1.21s/step] Training: 60%|██████ | 42250/70000 [14:57:42<9:39:48, 1.25s/step] Training: 60%|██████ | 42251/70000 [14:57:43<9:36:33, 1.25s/step] Training: 60%|██████ | 42252/70000 [14:57:45<9:49:25, 1.27s/step] Training: 60%|██████ | 42253/70000 [14:57:46<9:56:36, 1.29s/step] Training: 60%|██████ | 42254/70000 [14:57:47<9:42:41, 1.26s/step] Training: 60%|██████ | 42255/70000 [14:57:49<9:32:55, 1.24s/step] Training: 60%|██████ | 42256/70000 [14:57:50<9:25:59, 1.22s/step] Training: 60%|██████ | 42257/70000 [14:57:51<9:20:49, 1.21s/step] Training: 60%|██████ | 42258/70000 [14:57:52<9:38:39, 1.25s/step] Training: 60%|██████ | 42259/70000 [14:57:54<10:03:50, 1.31s/step] Training: 60%|██████ | 42260/70000 [14:57:55<10:06:50, 1.31s/step] Training: 60%|██████ | 42261/70000 [14:57:56<10:23:23, 1.35s/step] Training: 60%|██████ | 42262/70000 [14:57:58<10:01:31, 1.30s/step] Training: 60%|██████ | 42263/70000 [14:57:59<9:45:58, 1.27s/step] Training: 60%|██████ | 42264/70000 [14:58:00<9:34:48, 1.24s/step] Training: 60%|██████ | 42265/70000 [14:58:01<9:27:13, 1.23s/step] Training: 60%|██████ | 42266/70000 [14:58:03<9:41:26, 1.26s/step] Training: 60%|██████ | 42267/70000 [14:58:04<10:04:37, 1.31s/step] Training: 60%|██████ | 42268/70000 [14:58:05<10:06:55, 1.31s/step] Training: 60%|██████ | 42269/70000 [14:58:07<10:06:06, 1.31s/step] Training: 60%|██████ | 42270/70000 [14:58:08<9:49:21, 1.28s/step] Training: 60%|██████ | 42271/70000 [14:58:09<9:37:44, 1.25s/step] Training: 60%|██████ | 42272/70000 [14:58:10<9:28:51, 1.23s/step] Training: 60%|██████ | 42273/70000 [14:58:11<9:22:33, 1.22s/step] Training: 60%|██████ | 42274/70000 [14:58:13<9:27:44, 1.23s/step] Training: 60%|██████ | 42275/70000 [14:58:14<9:46:06, 1.27s/step] Training: 60%|██████ | 42276/70000 [14:58:15<9:53:34, 1.28s/step] Training: 60%|██████ | 42277/70000 [14:58:16<9:43:56, 1.26s/step] Training: 60%|██████ | 42278/70000 [14:58:18<9:33:45, 1.24s/step] Training: 60%|██████ | 42279/70000 [14:58:19<9:27:51, 1.23s/step] Training: 60%|██████ | 42280/70000 [14:58:20<9:22:16, 1.22s/step] Training: 60%|██████ | 42281/70000 [14:58:21<9:18:36, 1.21s/step] Training: 60%|██████ | 42282/70000 [14:58:23<9:37:52, 1.25s/step] Training: 60%|██████ | 42283/70000 [14:58:24<9:37:31, 1.25s/step] Training: 60%|██████ | 42284/70000 [14:58:25<9:32:05, 1.24s/step] Training: 60%|██████ | 42285/70000 [14:58:26<9:58:44, 1.30s/step] Training: 60%|██████ | 42286/70000 [14:58:28<9:44:07, 1.26s/step] Training: 60%|██████ | 42287/70000 [14:58:29<9:33:33, 1.24s/step] Training: 60%|██████ | 42288/70000 [14:58:30<9:26:30, 1.23s/step] Training: 60%|██████ | 42289/70000 [14:58:31<9:21:27, 1.22s/step] Training: 60%|██████ | 42290/70000 [14:58:33<9:38:30, 1.25s/step] Training: 60%|██████ | 42291/70000 [14:58:34<9:48:35, 1.27s/step] Training: 60%|██████ | 42292/70000 [14:58:35<9:55:16, 1.29s/step] Training: 60%|██████ | 42293/70000 [14:58:37<10:01:12, 1.30s/step] Training: 60%|██████ | 42294/70000 [14:58:38<9:45:58, 1.27s/step] Training: 60%|██████ | 42295/70000 [14:58:39<9:34:37, 1.24s/step] Training: 60%|██████ | 42296/70000 [14:58:40<9:27:39, 1.23s/step] Training: 60%|██████ | 42297/70000 [14:58:41<9:21:38, 1.22s/step] Training: 60%|██████ | 42298/70000 [14:58:43<9:38:57, 1.25s/step] Training: 60%|██████ | 42299/70000 [14:58:44<9:48:11, 1.27s/step] Training: 60%|██████ | 42300/70000 [14:58:45<10:07:58, 1.32s/step]INFO 2026-03-13 11:08:38 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.85 loss:0.011 grdn:1.071 lr:9.2e-06 updt_s:1.245 data_s:0.019 Training: 60%|██████ | 42301/70000 [14:58:47<10:01:34, 1.30s/step] Training: 60%|██████ | 42302/70000 [14:58:48<9:46:31, 1.27s/step] Training: 60%|██████ | 42303/70000 [14:58:49<9:35:08, 1.25s/step] Training: 60%|██████ | 42304/70000 [14:58:50<9:27:34, 1.23s/step] Training: 60%|██████ | 42305/70000 [14:58:51<9:22:10, 1.22s/step] Training: 60%|██████ | 42306/70000 [14:58:53<9:26:01, 1.23s/step] Training: 60%|██████ | 42307/70000 [14:58:54<9:46:19, 1.27s/step] Training: 60%|██████ | 42308/70000 [14:58:55<10:04:17, 1.31s/step] Training: 60%|██████ | 42309/70000 [14:58:57<10:06:27, 1.31s/step] Training: 60%|██████ | 42310/70000 [14:58:58<9:49:24, 1.28s/step] Training: 60%|██████ | 42311/70000 [14:58:59<9:37:08, 1.25s/step] Training: 60%|██████ | 42312/70000 [14:59:00<9:28:26, 1.23s/step] Training: 60%|██████ | 42313/70000 [14:59:02<9:22:36, 1.22s/step] Training: 60%|██████ | 42314/70000 [14:59:03<9:37:06, 1.25s/step] Training: 60%|██████ | 42315/70000 [14:59:04<9:36:47, 1.25s/step] Training: 60%|██████ | 42316/70000 [14:59:05<9:33:04, 1.24s/step] Training: 60%|██████ | 42317/70000 [14:59:07<10:05:35, 1.31s/step] Training: 60%|██████ | 42318/70000 [14:59:08<9:48:22, 1.28s/step] Training: 60%|██████ | 42319/70000 [14:59:09<9:37:12, 1.25s/step] Training: 60%|██████ | 42320/70000 [14:59:10<9:28:43, 1.23s/step] Training: 60%|██████ | 42321/70000 [14:59:12<9:23:14, 1.22s/step] Training: 60%|██████ | 42322/70000 [14:59:13<9:38:48, 1.25s/step] Training: 60%|██████ | 42323/70000 [14:59:14<9:48:52, 1.28s/step] Training: 60%|██████ | 42324/70000 [14:59:16<10:01:02, 1.30s/step] Training: 60%|██████ | 42325/70000 [14:59:17<10:04:42, 1.31s/step] Training: 60%|██████ | 42326/70000 [14:59:18<9:48:11, 1.28s/step] Training: 60%|██████ | 42327/70000 [14:59:19<9:36:22, 1.25s/step] Training: 60%|██████ | 42328/70000 [14:59:21<9:27:52, 1.23s/step] Training: 60%|██████ | 42329/70000 [14:59:22<9:22:26, 1.22s/step] Training: 60%|██████ | 42330/70000 [14:59:23<9:38:52, 1.26s/step] Training: 60%|██████ | 42331/70000 [14:59:24<9:49:27, 1.28s/step] Training: 60%|██████ | 42332/70000 [14:59:26<9:55:01, 1.29s/step] Training: 60%|██████ | 42333/70000 [14:59:27<10:01:55, 1.31s/step] Training: 60%|██████ | 42334/70000 [14:59:28<9:45:11, 1.27s/step] Training: 60%|██████ | 42335/70000 [14:59:29<9:34:15, 1.25s/step] Training: 60%|██████ | 42336/70000 [14:59:31<9:26:10, 1.23s/step] Training: 60%|██████ | 42337/70000 [14:59:32<9:20:48, 1.22s/step] Training: 60%|██████ | 42338/70000 [14:59:33<9:27:22, 1.23s/step] Training: 60%|██████ | 42339/70000 [14:59:34<9:45:32, 1.27s/step] Training: 60%|██████ | 42340/70000 [14:59:36<9:54:00, 1.29s/step] Training: 60%|██████ | 42341/70000 [14:59:37<10:12:46, 1.33s/step] Training: 60%|██████ | 42342/70000 [14:59:38<9:53:55, 1.29s/step] Training: 60%|██████ | 42343/70000 [14:59:40<9:40:15, 1.26s/step] Training: 60%|██████ | 42344/70000 [14:59:41<9:30:22, 1.24s/step] Training: 60%|██████ | 42345/70000 [14:59:42<9:23:38, 1.22s/step] Training: 60%|██████ | 42346/70000 [14:59:43<9:37:57, 1.25s/step] Training: 60%|██████ | 42347/70000 [14:59:44<9:37:37, 1.25s/step] Training: 60%|██████ | 42348/70000 [14:59:46<9:32:50, 1.24s/step] Training: 60%|██████ | 42349/70000 [14:59:47<9:46:12, 1.27s/step] Training: 60%|██████ | 42350/70000 [14:59:48<9:35:08, 1.25s/step] Training: 61%|██████ | 42351/70000 [14:59:49<9:26:47, 1.23s/step] Training: 61%|██████ | 42352/70000 [14:59:51<9:21:18, 1.22s/step] Training: 61%|██████ | 42353/70000 [14:59:52<9:16:54, 1.21s/step] Training: 61%|██████ | 42354/70000 [14:59:53<9:35:13, 1.25s/step] Training: 61%|██████ | 42355/70000 [14:59:54<9:45:57, 1.27s/step] Training: 61%|██████ | 42356/70000 [14:59:56<9:54:17, 1.29s/step] Training: 61%|██████ | 42357/70000 [14:59:57<10:08:01, 1.32s/step] Training: 61%|██████ | 42358/70000 [14:59:58<9:49:59, 1.28s/step] Training: 61%|██████ | 42359/70000 [15:00:00<9:37:06, 1.25s/step] Training: 61%|██████ | 42360/70000 [15:00:01<9:29:06, 1.24s/step] Training: 61%|██████ | 42361/70000 [15:00:02<9:22:39, 1.22s/step] Training: 61%|██████ | 42362/70000 [15:00:03<9:38:24, 1.26s/step] Training: 61%|██████ | 42363/70000 [15:00:05<9:48:45, 1.28s/step] Training: 61%|██████ | 42364/70000 [15:00:06<9:55:34, 1.29s/step] Training: 61%|██████ | 42365/70000 [15:00:07<9:54:13, 1.29s/step] Training: 61%|██████ | 42366/70000 [15:00:08<9:39:23, 1.26s/step] Training: 61%|██████ | 42367/70000 [15:00:10<9:29:54, 1.24s/step] Training: 61%|██████ | 42368/70000 [15:00:11<9:26:03, 1.23s/step] Training: 61%|██████ | 42369/70000 [15:00:12<9:23:34, 1.22s/step] Training: 61%|██████ | 42370/70000 [15:00:13<9:28:02, 1.23s/step] Training: 61%|██████ | 42371/70000 [15:00:15<9:44:22, 1.27s/step] Training: 61%|██████ | 42372/70000 [15:00:16<9:51:25, 1.28s/step] Training: 61%|██████ | 42373/70000 [15:00:17<9:58:38, 1.30s/step] Training: 61%|██████ | 42374/70000 [15:00:19<10:05:48, 1.32s/step] Training: 61%|██████ | 42375/70000 [15:00:20<9:47:36, 1.28s/step] Training: 61%|██████ | 42376/70000 [15:00:21<9:36:06, 1.25s/step] Training: 61%|██████ | 42377/70000 [15:00:22<9:27:41, 1.23s/step] Training: 61%|██████ | 42378/70000 [15:00:24<9:40:55, 1.26s/step] Training: 61%|██████ | 42379/70000 [15:00:25<9:38:43, 1.26s/step] Training: 61%|██████ | 42380/70000 [15:00:26<9:30:57, 1.24s/step] Training: 61%|██████ | 42381/70000 [15:00:27<9:43:38, 1.27s/step] Training: 61%|██████ | 42382/70000 [15:00:29<9:47:40, 1.28s/step] Training: 61%|██████ | 42383/70000 [15:00:30<9:35:11, 1.25s/step] Training: 61%|██████ | 42384/70000 [15:00:31<9:26:39, 1.23s/step] Training: 61%|██████ | 42385/70000 [15:00:32<9:21:04, 1.22s/step] Training: 61%|██████ | 42386/70000 [15:00:34<9:38:03, 1.26s/step] Training: 61%|██████ | 42387/70000 [15:00:35<9:47:17, 1.28s/step] Training: 61%|██████ | 42388/70000 [15:00:36<9:54:55, 1.29s/step] Training: 61%|██████ | 42389/70000 [15:00:38<10:04:24, 1.31s/step] Training: 61%|██████ | 42390/70000 [15:00:39<10:09:30, 1.32s/step] Training: 61%|██████ | 42391/70000 [15:00:40<9:49:20, 1.28s/step] Training: 61%|██████ | 42392/70000 [15:00:41<9:36:44, 1.25s/step] Training: 61%|██████ | 42393/70000 [15:00:42<9:27:57, 1.23s/step] Training: 61%|██████ | 42394/70000 [15:00:44<9:40:42, 1.26s/step] Training: 61%|██████ | 42395/70000 [15:00:45<9:50:05, 1.28s/step] Training: 61%|██████ | 42396/70000 [15:00:46<9:56:58, 1.30s/step] Training: 61%|██████ | 42397/70000 [15:00:48<9:55:49, 1.30s/step] Training: 61%|██████ | 42398/70000 [15:00:49<10:04:55, 1.31s/step] Training: 61%|██████ | 42399/70000 [15:00:50<9:46:06, 1.27s/step] Training: 61%|██████ | 42400/70000 [15:00:51<9:34:31, 1.25s/step]INFO 2026-03-13 11:10:44 ot_train.py:435 step:42K smpl:3M ep:9K epch:35.94 loss:0.012 grdn:1.186 lr:9.1e-06 updt_s:1.239 data_s:0.019 Training: 61%|██████ | 42401/70000 [15:00:53<9:26:07, 1.23s/step] Training: 61%|██████ | 42402/70000 [15:00:54<9:29:09, 1.24s/step] Training: 61%|██████ | 42403/70000 [15:00:55<9:48:42, 1.28s/step] Training: 61%|██████ | 42404/70000 [15:00:57<9:40:05, 1.26s/step] Training: 61%|██████ | 42405/70000 [15:00:58<9:32:52, 1.25s/step] Training: 61%|██████ | 42406/70000 [15:00:59<9:39:53, 1.26s/step] Training: 61%|██████ | 42407/70000 [15:01:00<9:53:43, 1.29s/step] Training: 61%|██████ | 42408/70000 [15:01:02<9:38:09, 1.26s/step] Training: 61%|██████ | 42409/70000 [15:01:03<9:29:38, 1.24s/step] Training: 61%|██████ | 42410/70000 [15:01:04<9:42:29, 1.27s/step] Training: 61%|██████ | 42411/70000 [15:01:05<9:40:04, 1.26s/step] Training: 61%|██████ | 42412/70000 [15:01:07<9:33:52, 1.25s/step] Training: 61%|██████ | 42413/70000 [15:01:08<9:45:02, 1.27s/step] Training: 61%|██████ | 42414/70000 [15:01:09<9:53:40, 1.29s/step] Training: 61%|██████ | 42415/70000 [15:01:11<10:01:23, 1.31s/step] Training: 61%|██████ | 42416/70000 [15:01:12<9:43:59, 1.27s/step] Training: 61%|██████ | 42417/70000 [15:01:13<9:32:41, 1.25s/step] Training: 61%|██████ | 42418/70000 [15:01:14<9:44:31, 1.27s/step] Training: 61%|██████ | 42419/70000 [15:01:15<9:36:24, 1.25s/step] Training: 61%|██████ | 42420/70000 [15:01:17<9:59:36, 1.30s/step] Training: 61%|██████ | 42421/70000 [15:01:18<10:03:22, 1.31s/step] Training: 61%|██████ | 42422/70000 [15:01:20<10:03:42, 1.31s/step] Training: 61%|██████ | 42423/70000 [15:01:21<10:05:15, 1.32s/step] Training: 61%|██████ | 42424/70000 [15:01:22<9:46:27, 1.28s/step] Training: 61%|██████ | 42425/70000 [15:01:23<9:34:49, 1.25s/step] Training: 61%|██████ | 42426/70000 [15:01:25<9:46:03, 1.28s/step] Training: 61%|██████ | 42427/70000 [15:01:26<9:54:29, 1.29s/step] Training: 61%|██████ | 42428/70000 [15:01:27<9:58:20, 1.30s/step] Training: 61%|██████ | 42429/70000 [15:01:29<10:06:43, 1.32s/step] Training: 61%|██████ | 42430/70000 [15:01:30<9:48:54, 1.28s/step] Training: 61%|██████ | 42431/70000 [15:01:31<9:58:21, 1.30s/step] Training: 61%|██████ | 42432/70000 [15:01:32<9:41:49, 1.27s/step] Training: 61%|██████ | 42433/70000 [15:01:34<9:30:49, 1.24s/step] Training: 61%|██████ | 42434/70000 [15:01:35<9:33:11, 1.25s/step] Training: 61%|██████ | 42435/70000 [15:01:36<9:46:21, 1.28s/step] Training: 61%|██████ | 42436/70000 [15:01:37<9:40:11, 1.26s/step] Training: 61%|██████ | 42437/70000 [15:01:39<9:34:55, 1.25s/step] Training: 61%|██████ | 42438/70000 [15:01:40<9:44:15, 1.27s/step] Training: 61%|██████ | 42439/70000 [15:01:41<9:41:22, 1.27s/step] Training: 61%|██████ | 42440/70000 [15:01:42<9:29:41, 1.24s/step] Training: 61%|██████ | 42441/70000 [15:01:44<9:22:57, 1.23s/step] Training: 61%|██████ | 42442/70000 [15:01:45<9:37:52, 1.26s/step] Training: 61%|██████ | 42443/70000 [15:01:46<9:39:35, 1.26s/step] Training: 61%|██████ | 42444/70000 [15:01:47<9:32:11, 1.25s/step] Training: 61%|██████ | 42445/70000 [15:01:49<9:24:20, 1.23s/step] Training: 61%|██████ | 42446/70000 [15:01:50<9:51:26, 1.29s/step] Training: 61%|██████ | 42447/70000 [15:01:51<9:38:41, 1.26s/step] Training: 61%|██████ | 42448/70000 [15:01:53<9:58:35, 1.30s/step] Training: 61%|██████ | 42449/70000 [15:01:54<9:42:15, 1.27s/step] Training: 61%|██████ | 42450/70000 [15:01:55<9:49:56, 1.28s/step] Training: 61%|██████ | 42451/70000 [15:01:56<9:38:46, 1.26s/step] Training: 61%|██████ | 42452/70000 [15:01:58<10:03:01, 1.31s/step] Training: 61%|██████ | 42453/70000 [15:01:59<10:05:17, 1.32s/step] Training: 61%|██████ | 42454/70000 [15:02:00<9:49:39, 1.28s/step] Training: 61%|██████ | 42455/70000 [15:02:01<9:36:51, 1.26s/step] Training: 61%|██████ | 42456/70000 [15:02:03<9:43:28, 1.27s/step] Training: 61%|██████ | 42457/70000 [15:02:04<9:32:05, 1.25s/step] Training: 61%|██████ | 42458/70000 [15:02:05<9:42:36, 1.27s/step] Training: 61%|██████ | 42459/70000 [15:02:07<9:51:18, 1.29s/step] Training: 61%|██████ | 42460/70000 [15:02:08<9:56:10, 1.30s/step] Training: 61%|██████ | 42461/70000 [15:02:09<9:44:00, 1.27s/step] Training: 61%|██████ | 42462/70000 [15:02:10<9:52:21, 1.29s/step] Training: 61%|██████ | 42463/70000 [15:02:12<9:40:00, 1.26s/step] Training: 61%|██████ | 42464/70000 [15:02:13<9:52:49, 1.29s/step] Training: 61%|██████ | 42465/70000 [15:02:14<9:36:57, 1.26s/step] Training: 61%|██████ | 42466/70000 [15:02:15<9:33:41, 1.25s/step] Training: 61%|██████ | 42467/70000 [15:02:17<9:47:32, 1.28s/step] Training: 61%|██████ | 42468/70000 [15:02:18<9:52:25, 1.29s/step] Training: 61%|██████ | 42469/70000 [15:02:19<9:43:49, 1.27s/step] Training: 61%|██████ | 42470/70000 [15:02:21<9:52:22, 1.29s/step] Training: 61%|██████ | 42471/70000 [15:02:22<9:39:04, 1.26s/step] Training: 61%|██████ | 42472/70000 [15:02:23<9:28:50, 1.24s/step] Training: 61%|██████ | 42473/70000 [15:02:24<9:42:39, 1.27s/step] Training: 61%|██████ | 42474/70000 [15:02:26<9:49:43, 1.29s/step] Training: 61%|██████ | 42475/70000 [15:02:27<9:49:52, 1.29s/step] Training: 61%|██████ | 42476/70000 [15:02:28<9:38:11, 1.26s/step] Training: 61%|██████ | 42477/70000 [15:02:29<9:28:03, 1.24s/step] Training: 61%|██████ | 42478/70000 [15:02:31<9:57:09, 1.30s/step] Training: 61%|██████ | 42479/70000 [15:02:32<9:42:04, 1.27s/step] Training: 61%|██████ | 42480/70000 [15:02:34<11:52:59, 1.55s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 61%|██████ | 42481/70000 [15:02:38<17:26:57, 2.28s/step] Training: 61%|██████ | 42482/70000 [15:02:40<15:23:31, 2.01s/step] Training: 61%|██████ | 42483/70000 [15:02:41<13:45:38, 1.80s/step] Training: 61%|██████ | 42484/70000 [15:02:42<12:56:35, 1.69s/step] Training: 61%|██████ | 42485/70000 [15:02:44<11:50:43, 1.55s/step] Training: 61%|██████ | 42486/70000 [15:02:45<11:10:47, 1.46s/step] Training: 61%|██████ | 42487/70000 [15:02:46<10:33:30, 1.38s/step] Training: 61%|██████ | 42488/70000 [15:02:47<10:06:48, 1.32s/step] Training: 61%|██████ | 42489/70000 [15:02:48<9:48:16, 1.28s/step] Training: 61%|██████ | 42490/70000 [15:02:50<9:56:54, 1.30s/step] Training: 61%|██████ | 42491/70000 [15:02:51<10:01:28, 1.31s/step] Training: 61%|██████ | 42492/70000 [15:02:52<10:02:12, 1.31s/step] Training: 61%|██████ | 42493/70000 [15:02:54<9:47:17, 1.28s/step] Training: 61%|██████ | 42494/70000 [15:02:55<9:54:45, 1.30s/step] Training: 61%|██████ | 42495/70000 [15:02:56<9:40:14, 1.27s/step] Training: 61%|██████ | 42496/70000 [15:02:57<9:29:38, 1.24s/step] Training: 61%|██████ | 42497/70000 [15:02:59<9:30:48, 1.25s/step] Training: 61%|██████ | 42498/70000 [15:03:00<9:36:19, 1.26s/step] Training: 61%|██████ | 42499/70000 [15:03:01<9:47:21, 1.28s/step] Training: 61%|██████ | 42500/70000 [15:03:02<9:53:31, 1.29s/step]INFO 2026-03-13 11:12:55 ot_train.py:435 step:42K smpl:3M ep:9K epch:36.02 loss:0.011 grdn:1.045 lr:9.1e-06 updt_s:1.254 data_s:0.054 Training: 61%|██████ | 42501/70000 [15:03:04<9:45:12, 1.28s/step] Training: 61%|██████ | 42502/70000 [15:03:05<9:53:03, 1.29s/step] Training: 61%|██████ | 42503/70000 [15:03:06<9:38:46, 1.26s/step] Training: 61%|██████ | 42504/70000 [15:03:07<9:29:33, 1.24s/step] Training: 61%|██████ | 42505/70000 [15:03:09<9:28:52, 1.24s/step] Training: 61%|██████ | 42506/70000 [15:03:10<9:24:52, 1.23s/step] Training: 61%|██████ | 42507/70000 [15:03:11<9:30:39, 1.25s/step] Training: 61%|██████ | 42508/70000 [15:03:12<9:25:22, 1.23s/step] Training: 61%|██████ | 42509/70000 [15:03:14<9:19:37, 1.22s/step] Training: 61%|██████ | 42510/70000 [15:03:15<9:50:21, 1.29s/step] Training: 61%|██████ | 42511/70000 [15:03:16<9:37:31, 1.26s/step] Training: 61%|██████ | 42512/70000 [15:03:17<9:28:16, 1.24s/step] Training: 61%|██████ | 42513/70000 [15:03:19<9:21:30, 1.23s/step] Training: 61%|██████ | 42514/70000 [15:03:20<9:38:27, 1.26s/step] Training: 61%|██████ | 42515/70000 [15:03:21<9:40:11, 1.27s/step] Training: 61%|██████ | 42516/70000 [15:03:23<10:05:44, 1.32s/step] Training: 61%|██████ | 42517/70000 [15:03:24<9:47:21, 1.28s/step] Training: 61%|██████ | 42518/70000 [15:03:25<9:37:44, 1.26s/step] Training: 61%|██████ | 42519/70000 [15:03:26<9:28:51, 1.24s/step] Training: 61%|██████ | 42520/70000 [15:03:27<9:22:55, 1.23s/step] Training: 61%|██████ | 42521/70000 [15:03:29<9:17:11, 1.22s/step] Training: 61%|██████ | 42522/70000 [15:03:30<9:45:58, 1.28s/step] Training: 61%|██████ | 42523/70000 [15:03:31<9:52:20, 1.29s/step] Training: 61%|██████ | 42524/70000 [15:03:33<9:55:43, 1.30s/step] Training: 61%|██████ | 42525/70000 [15:03:34<9:42:38, 1.27s/step] Training: 61%|██████ | 42526/70000 [15:03:35<9:51:19, 1.29s/step] Training: 61%|██████ | 42527/70000 [15:03:36<9:38:22, 1.26s/step] Training: 61%|██████ | 42528/70000 [15:03:38<9:28:30, 1.24s/step] Training: 61%|██████ | 42529/70000 [15:03:39<9:21:25, 1.23s/step] Training: 61%|██████ | 42530/70000 [15:03:40<9:21:38, 1.23s/step] Training: 61%|██████ | 42531/70000 [15:03:41<9:47:11, 1.28s/step] Training: 61%|██████ | 42532/70000 [15:03:43<9:39:44, 1.27s/step] Training: 61%|██████ | 42533/70000 [15:03:44<9:34:41, 1.26s/step] Training: 61%|██████ | 42534/70000 [15:03:45<9:47:35, 1.28s/step] Training: 61%|██████ | 42535/70000 [15:03:46<9:35:04, 1.26s/step] Training: 61%|██████ | 42536/70000 [15:03:48<9:26:33, 1.24s/step] Training: 61%|██████ | 42537/70000 [15:03:49<9:19:50, 1.22s/step] Training: 61%|██████ | 42538/70000 [15:03:50<9:38:28, 1.26s/step] Training: 61%|██████ | 42539/70000 [15:03:51<9:36:30, 1.26s/step] Training: 61%|██████ | 42540/70000 [15:03:53<9:30:10, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=20520 Training: 61%|██████ | 42541/70000 [15:03:54<9:22:34, 1.23s/step] Training: 61%|██████ | 42542/70000 [15:03:55<9:52:42, 1.30s/step] Training: 61%|██████ | 42543/70000 [15:03:57<9:38:19, 1.26s/step] Training: 61%|██████ | 42544/70000 [15:03:58<9:28:00, 1.24s/step] Training: 61%|██████ | 42545/70000 [15:03:59<9:20:47, 1.23s/step] Training: 61%|██████ | 42546/70000 [15:04:00<9:34:42, 1.26s/step] Training: 61%|██████ | 42547/70000 [15:04:02<9:45:42, 1.28s/step] Training: 61%|██████ | 42548/70000 [15:04:03<10:02:32, 1.32s/step] Training: 61%|██████ | 42549/70000 [15:04:04<9:44:58, 1.28s/step] Training: 61%|██████ | 42550/70000 [15:04:05<9:51:21, 1.29s/step] Training: 61%|██████ | 42551/70000 [15:04:07<9:37:24, 1.26s/step] Training: 61%|██████ | 42552/70000 [15:04:08<9:27:38, 1.24s/step] Training: 61%|██████ | 42553/70000 [15:04:09<9:20:32, 1.23s/step] Training: 61%|██████ | 42554/70000 [15:04:10<9:21:55, 1.23s/step] Training: 61%|██████ | 42555/70000 [15:04:12<9:52:27, 1.30s/step] Training: 61%|██████ | 42556/70000 [15:04:13<9:57:10, 1.31s/step] Training: 61%|██████ | 42557/70000 [15:04:14<9:41:41, 1.27s/step] Training: 61%|██████ | 42558/70000 [15:04:16<9:44:10, 1.28s/step] Training: 61%|██████ | 42559/70000 [15:04:17<9:51:13, 1.29s/step] Training: 61%|██████ | 42560/70000 [15:04:18<9:38:01, 1.26s/step] Training: 61%|██████ | 42561/70000 [15:04:19<9:27:06, 1.24s/step] Training: 61%|██████ | 42562/70000 [15:04:21<9:29:19, 1.24s/step] Training: 61%|██████ | 42563/70000 [15:04:22<9:46:04, 1.28s/step] Training: 61%|██████ | 42564/70000 [15:04:23<9:39:30, 1.27s/step] Training: 61%|██████ | 42565/70000 [15:04:24<9:29:18, 1.25s/step] Training: 61%|██████ | 42566/70000 [15:04:26<9:22:18, 1.23s/step] Training: 61%|██████ | 42567/70000 [15:04:27<9:27:55, 1.24s/step] Training: 61%|██████ | 42568/70000 [15:04:28<9:20:37, 1.23s/step] Training: 61%|██████ | 42569/70000 [15:04:29<9:16:06, 1.22s/step] Training: 61%|██████ | 42570/70000 [15:04:30<9:32:33, 1.25s/step] Training: 61%|██████ | 42571/70000 [15:04:32<9:33:47, 1.26s/step] Training: 61%|██████ | 42572/70000 [15:04:33<9:26:48, 1.24s/step] Training: 61%|██████ | 42573/70000 [15:04:34<9:20:00, 1.23s/step] Training: 61%|██████ | 42574/70000 [15:04:35<9:15:18, 1.21s/step] Training: 61%|██████ | 42575/70000 [15:04:37<9:12:00, 1.21s/step] Training: 61%|██████ | 42576/70000 [15:04:38<9:09:52, 1.20s/step] Training: 61%|██████ | 42577/70000 [15:04:39<9:08:00, 1.20s/step] Training: 61%|██████ | 42578/70000 [15:04:40<9:26:22, 1.24s/step] Training: 61%|██████ | 42579/70000 [15:04:42<9:39:28, 1.27s/step] Training: 61%|██████ | 42580/70000 [15:04:43<9:47:45, 1.29s/step] Training: 61%|██████ | 42581/70000 [15:04:44<9:34:29, 1.26s/step] Training: 61%|██████ | 42582/70000 [15:04:45<9:31:12, 1.25s/step] Training: 61%|██████ | 42583/70000 [15:04:47<9:42:52, 1.28s/step] Training: 61%|██████ | 42584/70000 [15:04:48<9:31:08, 1.25s/step] Training: 61%|██████ | 42585/70000 [15:04:49<9:22:46, 1.23s/step] Training: 61%|██████ | 42586/70000 [15:04:50<9:42:30, 1.27s/step] Training: 61%|██████ | 42587/70000 [15:04:52<9:50:41, 1.29s/step] Training: 61%|██████ | 42588/70000 [15:04:53<10:10:14, 1.34s/step] Training: 61%|██████ | 42589/70000 [15:04:54<9:50:11, 1.29s/step] Training: 61%|██████ | 42590/70000 [15:04:56<9:39:09, 1.27s/step] Training: 61%|██████ | 42591/70000 [15:04:57<9:32:18, 1.25s/step] Training: 61%|██████ | 42592/70000 [15:04:58<9:24:44, 1.24s/step] Training: 61%|██████ | 42593/70000 [15:04:59<9:17:00, 1.22s/step] Training: 61%|██████ | 42594/70000 [15:05:00<9:21:34, 1.23s/step] Training: 61%|██████ | 42595/70000 [15:05:02<9:20:40, 1.23s/step] Training: 61%|██████ | 42596/70000 [15:05:03<9:29:48, 1.25s/step] Training: 61%|██████ | 42597/70000 [15:05:04<9:21:50, 1.23s/step] Training: 61%|██████ | 42598/70000 [15:05:05<9:35:42, 1.26s/step] Training: 61%|██████ | 42599/70000 [15:05:07<9:31:56, 1.25s/step] Training: 61%|██████ | 42600/70000 [15:05:08<9:23:37, 1.23s/step]INFO 2026-03-13 11:15:00 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.11 loss:0.010 grdn:1.412 lr:9.0e-06 updt_s:1.233 data_s:0.019 Training: 61%|██████ | 42601/70000 [15:05:09<9:17:44, 1.22s/step] Training: 61%|██████ | 42602/70000 [15:05:10<9:33:36, 1.26s/step] Training: 61%|██████ | 42603/70000 [15:05:12<9:36:18, 1.26s/step] Training: 61%|██████ | 42604/70000 [15:05:13<9:49:43, 1.29s/step] Training: 61%|██████ | 42605/70000 [15:05:14<9:33:46, 1.26s/step] Training: 61%|██████ | 42606/70000 [15:05:16<9:42:40, 1.28s/step] Training: 61%|██████ | 42607/70000 [15:05:17<9:31:02, 1.25s/step] Training: 61%|██████ | 42608/70000 [15:05:18<9:40:21, 1.27s/step] Training: 61%|██████ | 42609/70000 [15:05:19<9:30:12, 1.25s/step] Training: 61%|██████ | 42610/70000 [15:05:21<9:41:05, 1.27s/step] Training: 61%|██████ | 42611/70000 [15:05:22<9:47:46, 1.29s/step] Training: 61%|██████ | 42612/70000 [15:05:23<9:58:45, 1.31s/step] Training: 61%|██████ | 42613/70000 [15:05:24<9:40:44, 1.27s/step] Training: 61%|██████ | 42614/70000 [15:05:26<9:35:33, 1.26s/step] Training: 61%|██████ | 42615/70000 [15:05:27<9:24:28, 1.24s/step] Training: 61%|██████ | 42616/70000 [15:05:28<9:18:08, 1.22s/step] Training: 61%|██████ | 42617/70000 [15:05:29<9:13:53, 1.21s/step] Training: 61%|██████ | 42618/70000 [15:05:31<9:34:19, 1.26s/step] Training: 61%|██████ | 42619/70000 [15:05:32<9:45:05, 1.28s/step] Training: 61%|██████ | 42620/70000 [15:05:33<9:51:22, 1.30s/step] Training: 61%|██████ | 42621/70000 [15:05:35<9:59:03, 1.31s/step] Training: 61%|██████ | 42622/70000 [15:05:36<9:44:17, 1.28s/step] Training: 61%|██████ | 42623/70000 [15:05:37<9:38:35, 1.27s/step] Training: 61%|██████ | 42624/70000 [15:05:38<9:28:23, 1.25s/step] Training: 61%|██████ | 42625/70000 [15:05:39<9:20:36, 1.23s/step] Training: 61%|██████ | 42626/70000 [15:05:41<9:26:42, 1.24s/step] Training: 61%|██████ | 42627/70000 [15:05:42<9:43:47, 1.28s/step] Training: 61%|██████ | 42628/70000 [15:05:43<9:36:55, 1.26s/step] Training: 61%|██████ | 42629/70000 [15:05:45<9:49:02, 1.29s/step] Training: 61%|██████ | 42630/70000 [15:05:46<9:52:16, 1.30s/step] Training: 61%|██████ | 42631/70000 [15:05:47<9:40:07, 1.27s/step] Training: 61%|██████ | 42632/70000 [15:05:48<9:29:08, 1.25s/step] Training: 61%|██████ | 42633/70000 [15:05:50<9:21:18, 1.23s/step] Training: 61%|██████ | 42634/70000 [15:05:51<9:19:07, 1.23s/step] Training: 61%|██████ | 42635/70000 [15:05:52<9:27:16, 1.24s/step] Training: 61%|██████ | 42636/70000 [15:05:53<9:22:21, 1.23s/step] Training: 61%|██████ | 42637/70000 [15:05:55<9:20:50, 1.23s/step] Training: 61%|██████ | 42638/70000 [15:05:56<9:34:39, 1.26s/step] Training: 61%|██████ | 42639/70000 [15:05:57<9:43:39, 1.28s/step] Training: 61%|██████ | 42640/70000 [15:05:58<9:32:48, 1.26s/step] Training: 61%|██████ | 42641/70000 [15:06:00<9:22:19, 1.23s/step] Training: 61%|██████ | 42642/70000 [15:06:01<9:37:21, 1.27s/step] Training: 61%|██████ | 42643/70000 [15:06:02<9:46:26, 1.29s/step] Training: 61%|██████ | 42644/70000 [15:06:04<9:52:44, 1.30s/step] Training: 61%|██████ | 42645/70000 [15:06:05<9:48:15, 1.29s/step] Training: 61%|██████ | 42646/70000 [15:06:06<9:38:48, 1.27s/step] Training: 61%|██████ | 42647/70000 [15:06:07<9:47:30, 1.29s/step] Training: 61%|██████ | 42648/70000 [15:06:09<9:34:58, 1.26s/step] Training: 61%|██████ | 42649/70000 [15:06:10<9:24:27, 1.24s/step] Training: 61%|██████ | 42650/70000 [15:06:11<9:41:01, 1.27s/step] Training: 61%|██████ | 42651/70000 [15:06:13<9:50:56, 1.30s/step] Training: 61%|██████ | 42652/70000 [15:06:14<9:55:42, 1.31s/step] Training: 61%|██████ | 42653/70000 [15:06:15<9:39:12, 1.27s/step] Training: 61%|██████ | 42654/70000 [15:06:16<9:50:08, 1.29s/step] Training: 61%|██████ | 42655/70000 [15:06:18<9:39:59, 1.27s/step] Training: 61%|██████ | 42656/70000 [15:06:19<9:28:31, 1.25s/step] Training: 61%|██████ | 42657/70000 [15:06:20<9:22:03, 1.23s/step] Training: 61%|██████ | 42658/70000 [15:06:21<9:27:48, 1.25s/step] Training: 61%|██████ | 42659/70000 [15:06:22<9:24:47, 1.24s/step] Training: 61%|██████ | 42660/70000 [15:06:24<9:23:39, 1.24s/step] Training: 61%|██████ | 42661/70000 [15:06:25<9:17:34, 1.22s/step] Training: 61%|██████ | 42662/70000 [15:06:26<9:42:33, 1.28s/step] Training: 61%|██████ | 42663/70000 [15:06:28<9:33:12, 1.26s/step] Training: 61%|██████ | 42664/70000 [15:06:29<9:24:55, 1.24s/step] Training: 61%|██████ | 42665/70000 [15:06:30<9:17:58, 1.22s/step] Training: 61%|██████ | 42666/70000 [15:06:31<9:16:09, 1.22s/step] Training: 61%|██████ | 42667/70000 [15:06:32<9:27:20, 1.25s/step] Training: 61%|██████ | 42668/70000 [15:06:34<9:23:04, 1.24s/step] Training: 61%|██████ | 42669/70000 [15:06:35<9:16:28, 1.22s/step] Training: 61%|██████ | 42670/70000 [15:06:36<9:31:05, 1.25s/step] Training: 61%|██████ | 42671/70000 [15:06:38<9:56:53, 1.31s/step] Training: 61%|██████ | 42672/70000 [15:06:39<9:40:33, 1.27s/step] Training: 61%|██████ | 42673/70000 [15:06:40<9:28:46, 1.25s/step] Training: 61%|██████ | 42674/70000 [15:06:41<9:43:10, 1.28s/step] Training: 61%|██████ | 42675/70000 [15:06:43<9:34:09, 1.26s/step] Training: 61%|██████ | 42676/70000 [15:06:44<10:00:33, 1.32s/step] Training: 61%|██████ | 42677/70000 [15:06:45<9:42:43, 1.28s/step] Training: 61%|██████ | 42678/70000 [15:06:47<9:59:49, 1.32s/step] Training: 61%|██████ | 42679/70000 [15:06:48<10:00:00, 1.32s/step] Training: 61%|██████ | 42680/70000 [15:06:49<9:42:28, 1.28s/step] Training: 61%|██████ | 42681/70000 [15:06:50<9:29:50, 1.25s/step] Training: 61%|██████ | 42682/70000 [15:06:52<9:45:58, 1.29s/step] Training: 61%|██████ | 42683/70000 [15:06:53<9:51:26, 1.30s/step] Training: 61%|██████ | 42684/70000 [15:06:54<10:00:10, 1.32s/step] Training: 61%|██████ | 42685/70000 [15:06:56<9:42:25, 1.28s/step] Training: 61%|██████ | 42686/70000 [15:06:57<9:32:41, 1.26s/step] Training: 61%|██████ | 42687/70000 [15:06:58<9:44:16, 1.28s/step] Training: 61%|██████ | 42688/70000 [15:06:59<9:30:21, 1.25s/step] Training: 61%|██████ | 42689/70000 [15:07:00<9:21:31, 1.23s/step] Training: 61%|██████ | 42690/70000 [15:07:02<9:29:07, 1.25s/step] Training: 61%|██████ | 42691/70000 [15:07:03<9:39:32, 1.27s/step] Training: 61%|██████ | 42692/70000 [15:07:04<9:35:12, 1.26s/step] Training: 61%|██████ | 42693/70000 [15:07:06<9:25:21, 1.24s/step] Training: 61%|██████ | 42694/70000 [15:07:07<9:35:47, 1.27s/step] Training: 61%|██████ | 42695/70000 [15:07:08<9:46:19, 1.29s/step] Training: 61%|██████ | 42696/70000 [15:07:09<9:31:34, 1.26s/step] Training: 61%|██████ | 42697/70000 [15:07:11<9:22:12, 1.24s/step] Training: 61%|██████ | 42698/70000 [15:07:12<9:21:11, 1.23s/step] Training: 61%|██████ | 42699/70000 [15:07:13<9:27:00, 1.25s/step] Training: 61%|██████ | 42700/70000 [15:07:14<9:37:45, 1.27s/step]INFO 2026-03-13 11:17:07 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.19 loss:0.010 grdn:0.971 lr:9.0e-06 updt_s:1.243 data_s:0.019 Training: 61%|██████ | 42701/70000 [15:07:16<9:26:57, 1.25s/step] Training: 61%|██████ | 42702/70000 [15:07:17<9:37:07, 1.27s/step] Training: 61%|██████ | 42703/70000 [15:07:18<9:46:57, 1.29s/step] Training: 61%|██████ | 42704/70000 [15:07:19<9:33:16, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=20520 Training: 61%|██████ | 42705/70000 [15:07:21<9:24:39, 1.24s/step] Training: 61%|██████ | 42706/70000 [15:07:22<9:38:11, 1.27s/step] Training: 61%|██████ | 42707/70000 [15:07:23<9:29:36, 1.25s/step] Training: 61%|██████ | 42708/70000 [15:07:24<9:40:20, 1.28s/step] Training: 61%|██████ | 42709/70000 [15:07:26<9:30:27, 1.25s/step] Training: 61%|██████ | 42710/70000 [15:07:27<9:26:45, 1.25s/step] Training: 61%|██████ | 42711/70000 [15:07:28<9:45:32, 1.29s/step] Training: 61%|██████ | 42712/70000 [15:07:29<9:32:34, 1.26s/step] Training: 61%|██████ | 42713/70000 [15:07:31<9:22:44, 1.24s/step] Training: 61%|██████ | 42714/70000 [15:07:32<9:39:23, 1.27s/step] Training: 61%|██████ | 42715/70000 [15:07:33<9:47:48, 1.29s/step] Training: 61%|██████ | 42716/70000 [15:07:35<9:52:28, 1.30s/step] Training: 61%|██████ | 42717/70000 [15:07:36<9:37:29, 1.27s/step] Training: 61%|██████ | 42718/70000 [15:07:37<9:29:39, 1.25s/step] Training: 61%|██████ | 42719/70000 [15:07:38<9:30:09, 1.25s/step] Training: 61%|██████ | 42720/70000 [15:07:40<9:21:05, 1.23s/step] Training: 61%|██████ | 42721/70000 [15:07:41<9:15:11, 1.22s/step] Training: 61%|██████ | 42722/70000 [15:07:42<9:25:42, 1.24s/step] Training: 61%|██████ | 42723/70000 [15:07:43<9:37:54, 1.27s/step] Training: 61%|██████ | 42724/70000 [15:07:45<9:33:48, 1.26s/step] Training: 61%|██████ | 42725/70000 [15:07:46<9:23:52, 1.24s/step] Training: 61%|██████ | 42726/70000 [15:07:47<9:35:14, 1.27s/step] Training: 61%|██████ | 42727/70000 [15:07:48<9:29:23, 1.25s/step] Training: 61%|██████ | 42728/70000 [15:07:50<9:41:24, 1.28s/step] Training: 61%|██████ | 42729/70000 [15:07:51<9:29:11, 1.25s/step] Training: 61%|██████ | 42730/70000 [15:07:52<9:24:02, 1.24s/step] Training: 61%|██████ | 42731/70000 [15:07:53<9:29:45, 1.25s/step] Training: 61%|██████ | 42732/70000 [15:07:55<9:39:37, 1.28s/step] Training: 61%|██████ | 42733/70000 [15:07:56<9:27:50, 1.25s/step] Training: 61%|██████ | 42734/70000 [15:07:57<9:37:20, 1.27s/step] Training: 61%|██████ | 42735/70000 [15:07:58<9:26:09, 1.25s/step] Training: 61%|██████ | 42736/70000 [15:08:00<9:37:11, 1.27s/step] Training: 61%|██████ | 42737/70000 [15:08:01<9:25:42, 1.25s/step] Training: 61%|██████ | 42738/70000 [15:08:02<9:38:15, 1.27s/step] Training: 61%|██████ | 42739/70000 [15:08:03<9:29:59, 1.25s/step] Training: 61%|██████ | 42740/70000 [15:08:05<9:39:25, 1.28s/step] Training: 61%|██████ | 42741/70000 [15:08:06<9:28:01, 1.25s/step] Training: 61%|██████ | 42742/70000 [15:08:07<9:24:44, 1.24s/step] Training: 61%|██████ | 42743/70000 [15:08:09<9:36:07, 1.27s/step] Training: 61%|██████ | 42744/70000 [15:08:10<9:48:57, 1.30s/step] Training: 61%|██████ | 42745/70000 [15:08:11<9:32:25, 1.26s/step] Training: 61%|██████ | 42746/70000 [15:08:12<9:44:58, 1.29s/step] Training: 61%|██████ | 42747/70000 [15:08:14<9:50:27, 1.30s/step] Training: 61%|██████ | 42748/70000 [15:08:15<9:55:20, 1.31s/step] Training: 61%|██████ | 42749/70000 [15:08:16<9:39:38, 1.28s/step] Training: 61%|██████ | 42750/70000 [15:08:17<9:29:14, 1.25s/step] Training: 61%|██████ | 42751/70000 [15:08:19<9:22:38, 1.24s/step] Training: 61%|██████ | 42752/70000 [15:08:20<9:38:01, 1.27s/step] Training: 61%|██████ | 42753/70000 [15:08:21<9:25:43, 1.25s/step] Training: 61%|██████ | 42754/70000 [15:08:23<9:31:20, 1.26s/step] Training: 61%|██████ | 42755/70000 [15:08:24<9:40:32, 1.28s/step] Training: 61%|██████ | 42756/70000 [15:08:25<9:34:30, 1.27s/step] Training: 61%|██████ | 42757/70000 [15:08:26<9:23:52, 1.24s/step] Training: 61%|██████ | 42758/70000 [15:08:28<9:35:08, 1.27s/step] Training: 61%|██████ | 42759/70000 [15:08:29<9:31:20, 1.26s/step] Training: 61%|██████ | 42760/70000 [15:08:30<9:22:04, 1.24s/step] Training: 61%|██████ | 42761/70000 [15:08:31<9:36:36, 1.27s/step] Training: 61%|██████ | 42762/70000 [15:08:33<9:28:13, 1.25s/step] Training: 61%|██████ | 42763/70000 [15:08:34<9:49:55, 1.30s/step] Training: 61%|██████ | 42764/70000 [15:08:35<9:54:17, 1.31s/step] Training: 61%|██████ | 42765/70000 [15:08:36<9:37:44, 1.27s/step] Training: 61%|██████ | 42766/70000 [15:08:38<9:44:39, 1.29s/step] Training: 61%|██████ | 42767/70000 [15:08:39<9:31:19, 1.26s/step] Training: 61%|██████ | 42768/70000 [15:08:40<9:39:34, 1.28s/step] Training: 61%|██████ | 42769/70000 [15:08:42<9:49:58, 1.30s/step] Training: 61%|██████ | 42770/70000 [15:08:43<9:55:02, 1.31s/step] Training: 61%|██████ | 42771/70000 [15:08:44<9:43:12, 1.29s/step] Training: 61%|██████ | 42772/70000 [15:08:46<9:48:46, 1.30s/step] Training: 61%|██████ | 42773/70000 [15:08:47<9:34:06, 1.27s/step] Training: 61%|██████ | 42774/70000 [15:08:48<9:27:53, 1.25s/step] Training: 61%|██████ | 42775/70000 [15:08:49<9:19:48, 1.23s/step] Training: 61%|██████ | 42776/70000 [15:08:50<9:15:33, 1.22s/step] Training: 61%|██████ | 42777/70000 [15:08:52<9:12:17, 1.22s/step] Training: 61%|██████ | 42778/70000 [15:08:53<9:33:45, 1.26s/step] Training: 61%|██████ | 42779/70000 [15:08:54<9:42:50, 1.28s/step] Training: 61%|██████ | 42780/70000 [15:08:56<9:47:16, 1.29s/step] Training: 61%|██████ | 42781/70000 [15:08:57<9:32:59, 1.26s/step] Training: 61%|██████ | 42782/70000 [15:08:58<9:25:48, 1.25s/step] Training: 61%|██████ | 42783/70000 [15:08:59<9:23:05, 1.24s/step] Training: 61%|██████ | 42784/70000 [15:09:00<9:16:51, 1.23s/step] Training: 61%|██████ | 42785/70000 [15:09:02<9:35:26, 1.27s/step] Training: 61%|██████ | 42786/70000 [15:09:03<9:36:13, 1.27s/step] Training: 61%|██████ | 42787/70000 [15:09:04<9:45:21, 1.29s/step] Training: 61%|██████ | 42788/70000 [15:09:06<9:40:06, 1.28s/step] Training: 61%|██████ | 42789/70000 [15:09:07<9:28:28, 1.25s/step] Training: 61%|██████ | 42790/70000 [15:09:08<9:39:25, 1.28s/step] Training: 61%|██████ | 42791/70000 [15:09:09<9:33:38, 1.26s/step] Training: 61%|██████ | 42792/70000 [15:09:11<9:24:08, 1.24s/step] Training: 61%|██████ | 42793/70000 [15:09:12<9:28:46, 1.25s/step] Training: 61%|██████ | 42794/70000 [15:09:13<9:38:49, 1.28s/step] Training: 61%|██████ | 42795/70000 [15:09:14<9:32:54, 1.26s/step] Training: 61%|██████ | 42796/70000 [15:09:16<9:41:20, 1.28s/step] Training: 61%|██████ | 42797/70000 [15:09:17<9:29:52, 1.26s/step] Training: 61%|██████ | 42798/70000 [15:09:18<9:39:22, 1.28s/step] Training: 61%|██████ | 42799/70000 [15:09:20<9:47:41, 1.30s/step] Training: 61%|██████ | 42800/70000 [15:09:21<9:34:10, 1.27s/step]INFO 2026-03-13 11:19:13 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.28 loss:0.011 grdn:1.249 lr:8.9e-06 updt_s:1.244 data_s:0.019 Training: 61%|██████ | 42801/70000 [15:09:22<9:24:21, 1.24s/step] Training: 61%|██████ | 42802/70000 [15:09:24<10:02:02, 1.33s/step] Training: 61%|██████ | 42803/70000 [15:09:25<9:44:24, 1.29s/step] Training: 61%|██████ | 42804/70000 [15:09:26<9:49:43, 1.30s/step] Training: 61%|██████ | 42805/70000 [15:09:27<9:34:55, 1.27s/step] Training: 61%|██████ | 42806/70000 [15:09:28<9:25:58, 1.25s/step] Training: 61%|██████ | 42807/70000 [15:09:30<9:37:01, 1.27s/step] Training: 61%|██████ | 42808/70000 [15:09:31<9:26:48, 1.25s/step] Training: 61%|██████ | 42809/70000 [15:09:32<9:18:51, 1.23s/step] Training: 61%|██████ | 42810/70000 [15:09:34<9:48:08, 1.30s/step] Training: 61%|██████ | 42811/70000 [15:09:35<9:53:07, 1.31s/step] Training: 61%|██████ | 42812/70000 [15:09:36<9:56:56, 1.32s/step] Training: 61%|██████ | 42813/70000 [15:09:38<9:39:25, 1.28s/step] Training: 61%|██████ | 42814/70000 [15:09:39<9:32:28, 1.26s/step] Training: 61%|██████ | 42815/70000 [15:09:40<9:27:35, 1.25s/step] Training: 61%|██████ | 42816/70000 [15:09:41<9:19:57, 1.24s/step] Training: 61%|██████ | 42817/70000 [15:09:42<9:13:09, 1.22s/step] Training: 61%|██████ | 42818/70000 [15:09:44<9:42:41, 1.29s/step] Training: 61%|██████ | 42819/70000 [15:09:45<9:47:37, 1.30s/step] Training: 61%|██████ | 42820/70000 [15:09:46<9:41:13, 1.28s/step] Training: 61%|██████ | 42821/70000 [15:09:48<9:28:29, 1.25s/step] Training: 61%|██████ | 42822/70000 [15:09:49<9:19:31, 1.24s/step] Training: 61%|██████ | 42823/70000 [15:09:50<9:30:36, 1.26s/step] Training: 61%|██████ | 42824/70000 [15:09:51<9:21:42, 1.24s/step] Training: 61%|██████ | 42825/70000 [15:09:52<9:15:10, 1.23s/step] Training: 61%|██████ | 42826/70000 [15:09:54<9:30:09, 1.26s/step] Training: 61%|██████ | 42827/70000 [15:09:55<9:42:36, 1.29s/step] Training: 61%|██████ | 42828/70000 [15:09:56<9:48:08, 1.30s/step] Training: 61%|██████ | 42829/70000 [15:09:58<9:33:17, 1.27s/step] Training: 61%|██████ | 42830/70000 [15:09:59<9:41:37, 1.28s/step] Training: 61%|██████ | 42831/70000 [15:10:00<9:47:51, 1.30s/step] Training: 61%|██████ | 42832/70000 [15:10:01<9:33:41, 1.27s/step] Training: 61%|██████ | 42833/70000 [15:10:03<9:23:49, 1.25s/step] Training: 61%|██████ | 42834/70000 [15:10:04<9:34:56, 1.27s/step] Training: 61%|██████ | 42835/70000 [15:10:05<9:45:59, 1.29s/step] Training: 61%|██████ | 42836/70000 [15:10:07<9:51:01, 1.31s/step] Training: 61%|██████ | 42837/70000 [15:10:08<9:35:05, 1.27s/step] Training: 61%|██████ | 42838/70000 [15:10:09<9:25:34, 1.25s/step] Training: 61%|██████ | 42839/70000 [15:10:10<9:38:14, 1.28s/step] Training: 61%|██████ | 42840/70000 [15:10:12<9:30:41, 1.26s/step] Training: 61%|██████ | 42841/70000 [15:10:13<9:21:23, 1.24s/step] Training: 61%|██████ | 42842/70000 [15:10:14<9:41:10, 1.28s/step] Training: 61%|██████ | 42843/70000 [15:10:16<9:49:20, 1.30s/step] Training: 61%|██████ | 42844/70000 [15:10:17<9:52:49, 1.31s/step] Training: 61%|██████ | 42845/70000 [15:10:18<9:36:08, 1.27s/step] Training: 61%|██████ | 42846/70000 [15:10:19<9:29:26, 1.26s/step] Training: 61%|██████ | 42847/70000 [15:10:21<9:26:15, 1.25s/step] Training: 61%|██████ | 42848/70000 [15:10:22<9:17:58, 1.23s/step] Training: 61%|██████ | 42849/70000 [15:10:23<9:12:57, 1.22s/step] Training: 61%|██████ | 42850/70000 [15:10:24<9:17:57, 1.23s/step] Training: 61%|██████ | 42851/70000 [15:10:26<9:34:57, 1.27s/step] Training: 61%|██████ | 42852/70000 [15:10:27<9:29:53, 1.26s/step] Training: 61%|██████ | 42853/70000 [15:10:28<9:20:24, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=70048 Training: 61%|██████ | 42854/70000 [15:10:29<9:13:33, 1.22s/step] Training: 61%|██████ | 42855/70000 [15:10:30<9:24:56, 1.25s/step] Training: 61%|██████ | 42856/70000 [15:10:32<9:17:13, 1.23s/step] Training: 61%|██████ | 42857/70000 [15:10:33<9:12:25, 1.22s/step] Training: 61%|██████ | 42858/70000 [15:10:34<9:25:04, 1.25s/step] Training: 61%|██████ | 42859/70000 [15:10:35<9:33:32, 1.27s/step] Training: 61%|██████ | 42860/70000 [15:10:37<9:41:39, 1.29s/step] Training: 61%|██████ | 42861/70000 [15:10:38<9:29:19, 1.26s/step] Training: 61%|██████ | 42862/70000 [15:10:39<9:21:46, 1.24s/step] Training: 61%|██████ | 42863/70000 [15:10:41<9:33:06, 1.27s/step] Training: 61%|██████ | 42864/70000 [15:10:42<9:22:42, 1.24s/step] Training: 61%|██████ | 42865/70000 [15:10:43<9:15:45, 1.23s/step] Training: 61%|██████ | 42866/70000 [15:10:44<9:29:18, 1.26s/step] Training: 61%|██████ | 42867/70000 [15:10:45<9:23:58, 1.25s/step] Training: 61%|██████ | 42868/70000 [15:10:47<9:50:52, 1.31s/step] Training: 61%|██████ | 42869/70000 [15:10:48<9:34:40, 1.27s/step] Training: 61%|██████ | 42870/70000 [15:10:49<9:28:05, 1.26s/step] Training: 61%|██████ | 42871/70000 [15:10:51<9:37:34, 1.28s/step] Training: 61%|██████ | 42872/70000 [15:10:52<9:25:23, 1.25s/step] Training: 61%|██████ | 42873/70000 [15:10:53<9:17:06, 1.23s/step] Training: 61%|██████ | 42874/70000 [15:10:54<9:34:21, 1.27s/step] Training: 61%|██████▏ | 42875/70000 [15:10:56<9:42:14, 1.29s/step] Training: 61%|██████▏ | 42876/70000 [15:10:57<9:58:06, 1.32s/step] Training: 61%|██████▏ | 42877/70000 [15:10:58<9:40:03, 1.28s/step] Training: 61%|██████▏ | 42878/70000 [15:11:00<9:31:32, 1.26s/step] Training: 61%|██████▏ | 42879/70000 [15:11:01<9:26:48, 1.25s/step] Training: 61%|██████▏ | 42880/70000 [15:11:02<9:17:54, 1.23s/step] Training: 61%|██████▏ | 42881/70000 [15:11:03<9:11:58, 1.22s/step] Training: 61%|██████▏ | 42882/70000 [15:11:04<9:18:17, 1.24s/step] Training: 61%|██████▏ | 42883/70000 [15:11:06<9:30:50, 1.26s/step] Training: 61%|██████▏ | 42884/70000 [15:11:07<9:31:03, 1.26s/step] Training: 61%|██████▏ | 42885/70000 [15:11:08<9:42:23, 1.29s/step] Training: 61%|██████▏ | 42886/70000 [15:11:10<9:46:22, 1.30s/step] Training: 61%|██████▏ | 42887/70000 [15:11:11<9:32:30, 1.27s/step] Training: 61%|██████▏ | 42888/70000 [15:11:12<9:21:39, 1.24s/step] Training: 61%|██████▏ | 42889/70000 [15:11:13<9:14:31, 1.23s/step] Training: 61%|██████▏ | 42890/70000 [15:11:15<9:27:57, 1.26s/step] Training: 61%|██████▏ | 42891/70000 [15:11:16<9:24:08, 1.25s/step] Training: 61%|██████▏ | 42892/70000 [15:11:17<9:37:33, 1.28s/step] Training: 61%|██████▏ | 42893/70000 [15:11:18<9:24:04, 1.25s/step] Training: 61%|██████▏ | 42894/70000 [15:11:20<9:15:51, 1.23s/step] Training: 61%|██████▏ | 42895/70000 [15:11:21<9:40:55, 1.29s/step] Training: 61%|██████▏ | 42896/70000 [15:11:22<9:27:52, 1.26s/step] Training: 61%|██████▏ | 42897/70000 [15:11:23<9:18:54, 1.24s/step] Training: 61%|██████▏ | 42898/70000 [15:11:25<9:32:06, 1.27s/step] Training: 61%|██████▏ | 42899/70000 [15:11:26<9:23:56, 1.25s/step] Training: 61%|██████▏ | 42900/70000 [15:11:27<9:34:16, 1.27s/step]INFO 2026-03-13 11:21:19 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.36 loss:0.010 grdn:1.209 lr:8.9e-06 updt_s:1.243 data_s:0.018 Training: 61%|██████▏ | 42901/70000 [15:11:29<9:43:43, 1.29s/step] Training: 61%|██████▏ | 42902/70000 [15:11:30<9:29:23, 1.26s/step] Training: 61%|██████▏ | 42903/70000 [15:11:31<9:54:26, 1.32s/step] Training: 61%|██████▏ | 42904/70000 [15:11:32<9:37:27, 1.28s/step] Training: 61%|██████▏ | 42905/70000 [15:11:34<9:25:39, 1.25s/step] Training: 61%|██████▏ | 42906/70000 [15:11:35<9:43:21, 1.29s/step] Training: 61%|██████▏ | 42907/70000 [15:11:36<9:50:36, 1.31s/step] Training: 61%|██████▏ | 42908/70000 [15:11:38<9:52:55, 1.31s/step] Training: 61%|██████▏ | 42909/70000 [15:11:39<9:59:24, 1.33s/step] Training: 61%|██████▏ | 42910/70000 [15:11:40<9:39:31, 1.28s/step] Training: 61%|██████▏ | 42911/70000 [15:11:41<9:32:05, 1.27s/step] Training: 61%|██████▏ | 42912/70000 [15:11:43<9:21:16, 1.24s/step] Training: 61%|██████▏ | 42913/70000 [15:11:44<9:15:03, 1.23s/step] Training: 61%|██████▏ | 42914/70000 [15:11:45<9:17:28, 1.23s/step] Training: 61%|██████▏ | 42915/70000 [15:11:46<9:31:43, 1.27s/step] Training: 61%|██████▏ | 42916/70000 [15:11:48<9:29:18, 1.26s/step] Training: 61%|██████▏ | 42917/70000 [15:11:49<9:19:44, 1.24s/step] Training: 61%|██████▏ | 42918/70000 [15:11:50<9:12:16, 1.22s/step] Training: 61%|██████▏ | 42919/70000 [15:11:51<9:22:39, 1.25s/step] Training: 61%|██████▏ | 42920/70000 [15:11:52<9:14:43, 1.23s/step] Training: 61%|██████▏ | 42921/70000 [15:11:54<9:09:33, 1.22s/step] Training: 61%|██████▏ | 42922/70000 [15:11:55<9:25:08, 1.25s/step] Training: 61%|██████▏ | 42923/70000 [15:11:56<9:21:51, 1.25s/step] Training: 61%|██████▏ | 42924/70000 [15:11:58<9:34:01, 1.27s/step] Training: 61%|██████▏ | 42925/70000 [15:11:59<9:31:30, 1.27s/step] Training: 61%|██████▏ | 42926/70000 [15:12:00<9:20:44, 1.24s/step] Training: 61%|██████▏ | 42927/70000 [15:12:01<9:34:53, 1.27s/step] Training: 61%|██████▏ | 42928/70000 [15:12:03<9:24:04, 1.25s/step] Training: 61%|██████▏ | 42929/70000 [15:12:04<9:15:26, 1.23s/step] Training: 61%|██████▏ | 42930/70000 [15:12:05<9:29:21, 1.26s/step] Training: 61%|██████▏ | 42931/70000 [15:12:06<9:24:32, 1.25s/step] Training: 61%|██████▏ | 42932/70000 [15:12:08<9:34:39, 1.27s/step] Training: 61%|██████▏ | 42933/70000 [15:12:09<9:32:08, 1.27s/step] Training: 61%|██████▏ | 42934/70000 [15:12:10<9:20:34, 1.24s/step] Training: 61%|██████▏ | 42935/70000 [15:12:11<9:34:15, 1.27s/step] Training: 61%|██████▏ | 42936/70000 [15:12:13<9:23:03, 1.25s/step] Training: 61%|██████▏ | 42937/70000 [15:12:14<9:15:45, 1.23s/step] Training: 61%|██████▏ | 42938/70000 [15:12:15<9:34:22, 1.27s/step] Training: 61%|██████▏ | 42939/70000 [15:12:16<9:41:30, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=27636 Training: 61%|██████▏ | 42940/70000 [15:12:18<9:46:48, 1.30s/step] Training: 61%|██████▏ | 42941/70000 [15:12:19<9:31:20, 1.27s/step] Training: 61%|██████▏ | 42942/70000 [15:12:20<9:42:20, 1.29s/step] Training: 61%|██████▏ | 42943/70000 [15:12:22<9:34:51, 1.27s/step] Training: 61%|██████▏ | 42944/70000 [15:12:23<10:00:10, 1.33s/step] Training: 61%|██████▏ | 42945/70000 [15:12:24<9:41:35, 1.29s/step] Training: 61%|██████▏ | 42946/70000 [15:12:25<9:36:56, 1.28s/step] Training: 61%|██████▏ | 42947/70000 [15:12:27<9:44:00, 1.30s/step] Training: 61%|██████▏ | 42948/70000 [15:12:28<9:36:03, 1.28s/step] Training: 61%|██████▏ | 42949/70000 [15:12:29<9:24:12, 1.25s/step] Training: 61%|██████▏ | 42950/70000 [15:12:31<9:29:41, 1.26s/step] Training: 61%|██████▏ | 42951/70000 [15:12:32<9:22:25, 1.25s/step] Training: 61%|██████▏ | 42952/70000 [15:12:33<9:25:54, 1.26s/step] Training: 61%|██████▏ | 42953/70000 [15:12:34<9:17:04, 1.24s/step] Training: 61%|██████▏ | 42954/70000 [15:12:36<9:28:39, 1.26s/step] Training: 61%|██████▏ | 42955/70000 [15:12:37<9:24:34, 1.25s/step] Training: 61%|██████▏ | 42956/70000 [15:12:38<9:35:16, 1.28s/step] Training: 61%|██████▏ | 42957/70000 [15:12:39<9:23:41, 1.25s/step] Training: 61%|██████▏ | 42958/70000 [15:12:41<9:40:02, 1.29s/step] Training: 61%|██████▏ | 42959/70000 [15:12:42<9:44:09, 1.30s/step] Training: 61%|██████▏ | 42960/70000 [15:12:43<9:34:31, 1.27s/step] Training: 61%|██████▏ | 42961/70000 [15:12:44<9:23:20, 1.25s/step] Training: 61%|██████▏ | 42962/70000 [15:12:46<9:35:57, 1.28s/step] Training: 61%|██████▏ | 42963/70000 [15:12:47<9:26:37, 1.26s/step] Training: 61%|██████▏ | 42964/70000 [15:12:48<9:35:51, 1.28s/step] Training: 61%|██████▏ | 42965/70000 [15:12:49<9:24:13, 1.25s/step] Training: 61%|██████▏ | 42966/70000 [15:12:51<9:37:53, 1.28s/step] Training: 61%|██████▏ | 42967/70000 [15:12:52<9:42:44, 1.29s/step] Training: 61%|██████▏ | 42968/70000 [15:12:53<9:48:25, 1.31s/step] Training: 61%|██████▏ | 42969/70000 [15:12:55<9:36:40, 1.28s/step] Training: 61%|██████▏ | 42970/70000 [15:12:56<9:49:31, 1.31s/step] Training: 61%|██████▏ | 42971/70000 [15:12:57<9:33:45, 1.27s/step] Training: 61%|██████▏ | 42972/70000 [15:12:59<9:57:06, 1.33s/step] Training: 61%|██████▏ | 42973/70000 [15:13:00<9:39:10, 1.29s/step] Training: 61%|██████▏ | 42974/70000 [15:13:01<9:25:57, 1.26s/step] Training: 61%|██████▏ | 42975/70000 [15:13:02<9:37:08, 1.28s/step] Training: 61%|██████▏ | 42976/70000 [15:13:04<9:41:42, 1.29s/step] Training: 61%|██████▏ | 42977/70000 [15:13:05<9:27:32, 1.26s/step] Training: 61%|██████▏ | 42978/70000 [15:13:06<9:27:28, 1.26s/step] Training: 61%|██████▏ | 42979/70000 [15:13:07<9:17:38, 1.24s/step] Training: 61%|██████▏ | 42980/70000 [15:13:09<9:21:09, 1.25s/step] Training: 61%|██████▏ | 42981/70000 [15:13:10<9:13:32, 1.23s/step] Training: 61%|██████▏ | 42982/70000 [15:13:11<9:08:01, 1.22s/step] Training: 61%|██████▏ | 42983/70000 [15:13:12<9:26:25, 1.26s/step] Training: 61%|██████▏ | 42984/70000 [15:13:14<9:34:41, 1.28s/step] Training: 61%|██████▏ | 42985/70000 [15:13:15<9:24:34, 1.25s/step] Training: 61%|██████▏ | 42986/70000 [15:13:16<9:35:08, 1.28s/step] Training: 61%|██████▏ | 42987/70000 [15:13:17<9:23:01, 1.25s/step] Training: 61%|██████▏ | 42988/70000 [15:13:19<9:33:10, 1.27s/step] Training: 61%|██████▏ | 42989/70000 [15:13:20<9:22:11, 1.25s/step] Training: 61%|██████▏ | 42990/70000 [15:13:21<9:14:19, 1.23s/step] Training: 61%|██████▏ | 42991/70000 [15:13:22<9:35:07, 1.28s/step] Training: 61%|██████▏ | 42992/70000 [15:13:24<9:25:10, 1.26s/step] Training: 61%|██████▏ | 42993/70000 [15:13:25<9:16:18, 1.24s/step] Training: 61%|██████▏ | 42994/70000 [15:13:26<9:28:38, 1.26s/step] Training: 61%|██████▏ | 42995/70000 [15:13:27<9:18:54, 1.24s/step] Training: 61%|██████▏ | 42996/70000 [15:13:29<9:31:39, 1.27s/step] Training: 61%|██████▏ | 42997/70000 [15:13:30<9:20:56, 1.25s/step] Training: 61%|██████▏ | 42998/70000 [15:13:31<9:13:53, 1.23s/step] Training: 61%|██████▏ | 42999/70000 [15:13:32<9:27:38, 1.26s/step] Training: 61%|██████▏ | 43000/70000 [15:13:34<9:36:39, 1.28s/step]INFO 2026-03-13 11:23:26 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.45 loss:0.011 grdn:1.216 lr:8.8e-06 updt_s:1.245 data_s:0.019 Training: 61%|██████▏ | 43001/70000 [15:13:35<9:24:24, 1.25s/step] Training: 61%|██████▏ | 43002/70000 [15:13:36<9:38:58, 1.29s/step] Training: 61%|██████▏ | 43003/70000 [15:13:38<9:25:55, 1.26s/step] Training: 61%|██████▏ | 43004/70000 [15:13:39<9:36:30, 1.28s/step] Training: 61%|██████▏ | 43005/70000 [15:13:40<9:40:16, 1.29s/step] Training: 61%|██████▏ | 43006/70000 [15:13:41<9:27:12, 1.26s/step] Training: 61%|██████▏ | 43007/70000 [15:13:43<9:28:41, 1.26s/step] Training: 61%|██████▏ | 43008/70000 [15:13:44<9:49:08, 1.31s/step] Training: 61%|██████▏ | 43009/70000 [15:13:45<9:33:04, 1.27s/step] Training: 61%|██████▏ | 43010/70000 [15:13:46<9:30:54, 1.27s/step] Training: 61%|██████▏ | 43011/70000 [15:13:48<9:20:15, 1.25s/step] Training: 61%|██████▏ | 43012/70000 [15:13:49<9:30:23, 1.27s/step] Training: 61%|██████▏ | 43013/70000 [15:13:50<9:35:06, 1.28s/step] Training: 61%|██████▏ | 43014/70000 [15:13:52<9:23:17, 1.25s/step] Training: 61%|██████▏ | 43015/70000 [15:13:53<9:20:11, 1.25s/step] Training: 61%|██████▏ | 43016/70000 [15:13:54<9:42:44, 1.30s/step] Training: 61%|██████▏ | 43017/70000 [15:13:55<9:28:12, 1.26s/step] Training: 61%|██████▏ | 43018/70000 [15:13:57<9:35:55, 1.28s/step] Training: 61%|██████▏ | 43019/70000 [15:13:58<9:23:47, 1.25s/step] Training: 61%|██████▏ | 43020/70000 [15:13:59<9:32:52, 1.27s/step] Training: 61%|██████▏ | 43021/70000 [15:14:00<9:21:16, 1.25s/step] Training: 61%|██████▏ | 43022/70000 [15:14:02<9:13:26, 1.23s/step] Training: 61%|██████▏ | 43023/70000 [15:14:03<9:28:39, 1.26s/step] Training: 61%|██████▏ | 43024/70000 [15:14:04<9:22:02, 1.25s/step] Training: 61%|██████▏ | 43025/70000 [15:14:05<9:33:55, 1.28s/step] Training: 61%|██████▏ | 43026/70000 [15:14:07<9:41:44, 1.29s/step] Training: 61%|██████▏ | 43027/70000 [15:14:08<9:27:50, 1.26s/step] Training: 61%|██████▏ | 43028/70000 [15:14:09<9:37:48, 1.29s/step] Training: 61%|██████▏ | 43029/70000 [15:14:11<9:38:09, 1.29s/step] Training: 61%|██████▏ | 43030/70000 [15:14:12<9:25:13, 1.26s/step] Training: 61%|██████▏ | 43031/70000 [15:14:13<9:36:00, 1.28s/step] Training: 61%|██████▏ | 43032/70000 [15:14:14<9:46:42, 1.31s/step] Training: 61%|██████▏ | 43033/70000 [15:14:16<9:29:31, 1.27s/step] Training: 61%|██████▏ | 43034/70000 [15:14:17<9:42:47, 1.30s/step] Training: 61%|██████▏ | 43035/70000 [15:14:18<9:28:50, 1.27s/step] Training: 61%|██████▏ | 43036/70000 [15:14:20<9:42:15, 1.30s/step] Training: 61%|██████▏ | 43037/70000 [15:14:21<9:46:21, 1.30s/step] Training: 61%|██████▏ | 43038/70000 [15:14:22<9:30:50, 1.27s/step] Training: 61%|██████▏ | 43039/70000 [15:14:23<9:26:44, 1.26s/step] Training: 61%|██████▏ | 43040/70000 [15:14:25<9:36:11, 1.28s/step] Training: 61%|██████▏ | 43041/70000 [15:14:26<9:44:13, 1.30s/step] Training: 61%|██████▏ | 43042/70000 [15:14:27<9:35:38, 1.28s/step] Training: 61%|██████▏ | 43043/70000 [15:14:28<9:23:15, 1.25s/step] Training: 61%|██████▏ | 43044/70000 [15:14:30<9:33:30, 1.28s/step] Training: 61%|██████▏ | 43045/70000 [15:14:31<9:24:46, 1.26s/step] Training: 61%|██████▏ | 43046/70000 [15:14:32<9:15:50, 1.24s/step] Training: 61%|██████▏ | 43047/70000 [15:14:33<9:10:57, 1.23s/step] Training: 61%|██████▏ | 43048/70000 [15:14:35<9:26:06, 1.26s/step] Training: 61%|██████▏ | 43049/70000 [15:14:36<9:38:20, 1.29s/step] Training: 62%|██████▏ | 43050/70000 [15:14:37<9:42:52, 1.30s/step] Training: 62%|██████▏ | 43051/70000 [15:14:39<9:28:24, 1.27s/step] Training: 62%|██████▏ | 43052/70000 [15:14:40<9:36:36, 1.28s/step] Training: 62%|██████▏ | 43053/70000 [15:14:41<9:42:59, 1.30s/step] Training: 62%|██████▏ | 43054/70000 [15:14:42<9:28:18, 1.27s/step] Training: 62%|██████▏ | 43055/70000 [15:14:44<9:36:50, 1.28s/step] Training: 62%|██████▏ | 43056/70000 [15:14:45<9:26:51, 1.26s/step] Training: 62%|██████▏ | 43057/70000 [15:14:46<9:16:40, 1.24s/step] Training: 62%|██████▏ | 43058/70000 [15:14:47<9:29:14, 1.27s/step] Training: 62%|██████▏ | 43059/70000 [15:14:49<9:18:49, 1.24s/step] Training: 62%|██████▏ | 43060/70000 [15:14:50<9:32:08, 1.27s/step] Training: 62%|██████▏ | 43061/70000 [15:14:51<9:38:59, 1.29s/step] Training: 62%|██████▏ | 43062/70000 [15:14:53<9:25:06, 1.26s/step] Training: 62%|██████▏ | 43063/70000 [15:14:54<9:34:26, 1.28s/step] Training: 62%|██████▏ | 43064/70000 [15:14:55<9:40:51, 1.29s/step] Training: 62%|██████▏ | 43065/70000 [15:14:56<9:33:50, 1.28s/step] Training: 62%|██████▏ | 43066/70000 [15:14:58<9:27:20, 1.26s/step] Training: 62%|██████▏ | 43067/70000 [15:14:59<9:17:20, 1.24s/step] Training: 62%|██████▏ | 43068/70000 [15:15:00<9:33:26, 1.28s/step] Training: 62%|██████▏ | 43069/70000 [15:15:01<9:21:39, 1.25s/step] Training: 62%|██████▏ | 43070/70000 [15:15:03<9:30:37, 1.27s/step] Training: 62%|██████▏ | 43071/70000 [15:15:04<9:24:20, 1.26s/step] Training: 62%|██████▏ | 43072/70000 [15:15:05<9:33:14, 1.28s/step] Training: 62%|██████▏ | 43073/70000 [15:15:07<9:27:51, 1.27s/step] Training: 62%|██████▏ | 43074/70000 [15:15:08<9:25:38, 1.26s/step] Training: 62%|██████▏ | 43075/70000 [15:15:09<9:16:05, 1.24s/step] Training: 62%|██████▏ | 43076/70000 [15:15:10<9:27:56, 1.27s/step] Training: 62%|██████▏ | 43077/70000 [15:15:11<9:17:41, 1.24s/step] Training: 62%|██████▏ | 43078/70000 [15:15:13<9:27:15, 1.26s/step] Training: 62%|██████▏ | 43079/70000 [15:15:14<9:21:06, 1.25s/step] Training: 62%|██████▏ | 43080/70000 [15:15:15<9:31:26, 1.27s/step] Training: 62%|██████▏ | 43081/70000 [15:15:17<9:19:56, 1.25s/step] Training: 62%|██████▏ | 43082/70000 [15:15:18<9:46:53, 1.31s/step] Training: 62%|██████▏ | 43083/70000 [15:15:19<9:30:33, 1.27s/step] Training: 62%|██████▏ | 43084/70000 [15:15:20<9:38:53, 1.29s/step] Training: 62%|██████▏ | 43085/70000 [15:15:22<9:43:56, 1.30s/step] Training: 62%|██████▏ | 43086/70000 [15:15:23<9:28:21, 1.27s/step] Training: 62%|██████▏ | 43087/70000 [15:15:24<9:36:51, 1.29s/step] Training: 62%|██████▏ | 43088/70000 [15:15:26<9:25:29, 1.26s/step] Training: 62%|██████▏ | 43089/70000 [15:15:27<9:15:55, 1.24s/step] Training: 62%|██████▏ | 43090/70000 [15:15:28<9:42:35, 1.30s/step] Training: 62%|██████▏ | 43091/70000 [15:15:29<9:28:13, 1.27s/step] Training: 62%|██████▏ | 43092/70000 [15:15:31<9:35:58, 1.28s/step] Training: 62%|██████▏ | 43093/70000 [15:15:32<9:40:30, 1.29s/step] Training: 62%|██████▏ | 43094/70000 [15:15:33<9:26:08, 1.26s/step] Training: 62%|██████▏ | 43095/70000 [15:15:35<9:35:58, 1.28s/step] Training: 62%|██████▏ | 43096/70000 [15:15:36<9:44:31, 1.30s/step] Training: 62%|██████▏ | 43097/70000 [15:15:37<9:29:05, 1.27s/step] Training: 62%|██████▏ | 43098/70000 [15:15:38<9:44:42, 1.30s/step] Training: 62%|██████▏ | 43099/70000 [15:15:40<9:27:44, 1.27s/step] Training: 62%|██████▏ | 43100/70000 [15:15:41<9:39:17, 1.29s/step]INFO 2026-03-13 11:25:33 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.53 loss:0.011 grdn:1.112 lr:8.8e-06 updt_s:1.251 data_s:0.019 Training: 62%|██████▏ | 43101/70000 [15:15:42<9:29:46, 1.27s/step] Training: 62%|██████▏ | 43102/70000 [15:15:43<9:18:53, 1.25s/step] Training: 62%|██████▏ | 43103/70000 [15:15:45<9:16:35, 1.24s/step] Training: 62%|██████▏ | 43104/70000 [15:15:46<9:27:38, 1.27s/step] Training: 62%|██████▏ | 43105/70000 [15:15:47<9:17:57, 1.24s/step] Training: 62%|██████▏ | 43106/70000 [15:15:49<9:38:50, 1.29s/step] Training: 62%|██████▏ | 43107/70000 [15:15:50<9:23:37, 1.26s/step] Training: 62%|██████▏ | 43108/70000 [15:15:51<9:21:42, 1.25s/step] Training: 62%|██████▏ | 43109/70000 [15:15:52<9:15:19, 1.24s/step] Training: 62%|██████▏ | 43110/70000 [15:15:53<9:08:20, 1.22s/step] Training: 62%|██████▏ | 43111/70000 [15:15:55<9:07:24, 1.22s/step] Training: 62%|██████▏ | 43112/70000 [15:15:56<9:21:44, 1.25s/step] Training: 62%|██████▏ | 43113/70000 [15:15:57<9:13:01, 1.23s/step] Training: 62%|██████▏ | 43114/70000 [15:15:58<9:25:11, 1.26s/step] Training: 62%|██████▏ | 43115/70000 [15:16:00<9:36:28, 1.29s/step] Training: 62%|██████▏ | 43116/70000 [15:16:01<9:41:13, 1.30s/step] Training: 62%|██████▏ | 43117/70000 [15:16:02<9:45:34, 1.31s/step] Training: 62%|██████▏ | 43118/70000 [15:16:04<9:29:34, 1.27s/step] Training: 62%|██████▏ | 43119/70000 [15:16:05<9:36:47, 1.29s/step] Training: 62%|██████▏ | 43120/70000 [15:16:06<9:26:03, 1.26s/step] Training: 62%|██████▏ | 43121/70000 [15:16:07<9:16:20, 1.24s/step] Training: 62%|██████▏ | 43122/70000 [15:16:09<9:28:43, 1.27s/step] Training: 62%|██████▏ | 43123/70000 [15:16:10<9:38:48, 1.29s/step] Training: 62%|██████▏ | 43124/70000 [15:16:11<9:41:56, 1.30s/step] Training: 62%|██████▏ | 43125/70000 [15:16:13<9:46:39, 1.31s/step] Training: 62%|██████▏ | 43126/70000 [15:16:14<9:30:18, 1.27s/step] Training: 62%|██████▏ | 43127/70000 [15:16:15<9:37:24, 1.29s/step] Training: 62%|██████▏ | 43128/70000 [15:16:16<9:42:37, 1.30s/step] Training: 62%|██████▏ | 43129/70000 [15:16:18<9:27:51, 1.27s/step] Training: 62%|██████▏ | 43130/70000 [15:16:19<9:41:42, 1.30s/step] Training: 62%|██████▏ | 43131/70000 [15:16:20<9:44:48, 1.31s/step] Training: 62%|██████▏ | 43132/70000 [15:16:22<9:32:24, 1.28s/step] Training: 62%|██████▏ | 43133/70000 [15:16:23<9:25:28, 1.26s/step] Training: 62%|██████▏ | 43134/70000 [15:16:24<9:15:44, 1.24s/step] Training: 62%|██████▏ | 43135/70000 [15:16:25<9:14:41, 1.24s/step] Training: 62%|██████▏ | 43136/70000 [15:16:27<9:27:09, 1.27s/step] Training: 62%|██████▏ | 43137/70000 [15:16:28<9:16:48, 1.24s/step] Training: 62%|██████▏ | 43138/70000 [15:16:29<9:18:39, 1.25s/step] Training: 62%|██████▏ | 43139/70000 [15:16:30<9:10:41, 1.23s/step] Training: 62%|██████▏ | 43140/70000 [15:16:32<9:25:38, 1.26s/step] Training: 62%|██████▏ | 43141/70000 [15:16:33<9:17:12, 1.24s/step] Training: 62%|██████▏ | 43142/70000 [15:16:34<9:09:58, 1.23s/step] Training: 62%|██████▏ | 43143/70000 [15:16:35<9:07:29, 1.22s/step] Training: 62%|██████▏ | 43144/70000 [15:16:36<9:22:37, 1.26s/step] Training: 62%|██████▏ | 43145/70000 [15:16:38<9:13:23, 1.24s/step] Training: 62%|██████▏ | 43146/70000 [15:16:39<9:26:29, 1.27s/step] Training: 62%|██████▏ | 43147/70000 [15:16:40<9:16:10, 1.24s/step] Training: 62%|██████▏ | 43148/70000 [15:16:42<9:26:56, 1.27s/step] Training: 62%|██████▏ | 43149/70000 [15:16:43<9:34:04, 1.28s/step] Training: 62%|██████▏ | 43150/70000 [15:16:44<9:22:33, 1.26s/step] Training: 62%|██████▏ | 43151/70000 [15:16:45<9:30:31, 1.27s/step] Training: 62%|██████▏ | 43152/70000 [15:16:47<9:22:41, 1.26s/step] Training: 62%|██████▏ | 43153/70000 [15:16:48<9:13:34, 1.24s/step] Training: 62%|██████▏ | 43154/70000 [15:16:49<9:26:34, 1.27s/step] Training: 62%|██████▏ | 43155/70000 [15:16:50<9:16:29, 1.24s/step] Training: 62%|██████▏ | 43156/70000 [15:16:52<9:31:11, 1.28s/step] Training: 62%|██████▏ | 43157/70000 [15:16:53<9:36:50, 1.29s/step] Training: 62%|██████▏ | 43158/70000 [15:16:54<9:22:59, 1.26s/step] Training: 62%|██████▏ | 43159/70000 [15:16:55<9:32:24, 1.28s/step] Training: 62%|██████▏ | 43160/70000 [15:16:57<9:39:34, 1.30s/step] Training: 62%|██████▏ | 43161/70000 [15:16:58<9:25:13, 1.26s/step] Training: 62%|██████▏ | 43162/70000 [15:16:59<9:42:11, 1.30s/step] Training: 62%|██████▏ | 43163/70000 [15:17:01<9:27:16, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=27636 Training: 62%|██████▏ | 43164/70000 [15:17:02<9:41:21, 1.30s/step] Training: 62%|██████▏ | 43165/70000 [15:17:03<9:30:57, 1.28s/step] Training: 62%|██████▏ | 43166/70000 [15:17:04<9:18:51, 1.25s/step] Training: 62%|██████▏ | 43167/70000 [15:17:06<9:16:30, 1.24s/step] Training: 62%|██████▏ | 43168/70000 [15:17:07<9:28:41, 1.27s/step] Training: 62%|██████▏ | 43169/70000 [15:17:08<9:18:29, 1.25s/step] Training: 62%|██████▏ | 43170/70000 [15:17:09<9:20:34, 1.25s/step] Training: 62%|██████▏ | 43171/70000 [15:17:11<9:11:59, 1.23s/step] Training: 62%|██████▏ | 43172/70000 [15:17:12<9:12:51, 1.24s/step] Training: 62%|██████▏ | 43173/70000 [15:17:13<9:26:36, 1.27s/step] Training: 62%|██████▏ | 43174/70000 [15:17:14<9:14:56, 1.24s/step] Training: 62%|██████▏ | 43175/70000 [15:17:16<9:10:45, 1.23s/step] Training: 62%|██████▏ | 43176/70000 [15:17:17<9:23:17, 1.26s/step] Training: 62%|██████▏ | 43177/70000 [15:17:18<9:15:08, 1.24s/step] Training: 62%|██████▏ | 43178/70000 [15:17:19<9:25:09, 1.26s/step] Training: 62%|██████▏ | 43179/70000 [15:17:21<9:15:30, 1.24s/step] Training: 62%|██████▏ | 43180/70000 [15:17:22<9:26:31, 1.27s/step] Training: 62%|██████▏ | 43181/70000 [15:17:23<9:26:11, 1.27s/step] Training: 62%|██████▏ | 43182/70000 [15:17:24<9:32:14, 1.28s/step] Training: 62%|██████▏ | 43183/70000 [15:17:26<9:39:14, 1.30s/step] Training: 62%|██████▏ | 43184/70000 [15:17:27<9:28:07, 1.27s/step] Training: 62%|██████▏ | 43185/70000 [15:17:28<9:17:31, 1.25s/step] Training: 62%|██████▏ | 43186/70000 [15:17:30<9:29:01, 1.27s/step] Training: 62%|██████▏ | 43187/70000 [15:17:31<9:17:49, 1.25s/step] Training: 62%|██████▏ | 43188/70000 [15:17:32<9:28:20, 1.27s/step] Training: 62%|██████▏ | 43189/70000 [15:17:33<9:17:17, 1.25s/step] Training: 62%|██████▏ | 43190/70000 [15:17:35<9:29:48, 1.28s/step] Training: 62%|██████▏ | 43191/70000 [15:17:36<9:17:12, 1.25s/step] Training: 62%|██████▏ | 43192/70000 [15:17:37<9:43:07, 1.31s/step] Training: 62%|██████▏ | 43193/70000 [15:17:38<9:27:25, 1.27s/step] Training: 62%|██████▏ | 43194/70000 [15:17:40<9:42:35, 1.30s/step] Training: 62%|██████▏ | 43195/70000 [15:17:41<9:27:09, 1.27s/step] Training: 62%|██████▏ | 43196/70000 [15:17:42<9:41:22, 1.30s/step] Training: 62%|██████▏ | 43197/70000 [15:17:44<9:48:30, 1.32s/step] Training: 62%|██████▏ | 43198/70000 [15:17:45<9:31:24, 1.28s/step] Training: 62%|██████▏ | 43199/70000 [15:17:46<9:19:23, 1.25s/step] Training: 62%|██████▏ | 43200/70000 [15:17:48<9:43:06, 1.31s/step]INFO 2026-03-13 11:27:40 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.62 loss:0.011 grdn:1.285 lr:8.7e-06 updt_s:1.245 data_s:0.019 Training: 62%|██████▏ | 43201/70000 [15:17:49<9:27:28, 1.27s/step] Training: 62%|██████▏ | 43202/70000 [15:17:50<9:25:53, 1.27s/step] Training: 62%|██████▏ | 43203/70000 [15:17:51<9:15:40, 1.24s/step] Training: 62%|██████▏ | 43204/70000 [15:17:52<9:17:41, 1.25s/step] Training: 62%|██████▏ | 43205/70000 [15:17:54<9:10:01, 1.23s/step] Training: 62%|██████▏ | 43206/70000 [15:17:55<9:34:56, 1.29s/step] Training: 62%|██████▏ | 43207/70000 [15:17:56<9:22:46, 1.26s/step] Training: 62%|██████▏ | 43208/70000 [15:17:58<9:30:27, 1.28s/step] Training: 62%|██████▏ | 43209/70000 [15:17:59<9:18:53, 1.25s/step] Training: 62%|██████▏ | 43210/70000 [15:18:00<9:30:49, 1.28s/step] Training: 62%|██████▏ | 43211/70000 [15:18:01<9:18:45, 1.25s/step] Training: 62%|██████▏ | 43212/70000 [15:18:03<9:31:33, 1.28s/step] Training: 62%|██████▏ | 43213/70000 [15:18:04<9:19:27, 1.25s/step] Training: 62%|██████▏ | 43214/70000 [15:18:05<9:45:08, 1.31s/step] Training: 62%|██████▏ | 43215/70000 [15:18:06<9:28:53, 1.27s/step] Training: 62%|██████▏ | 43216/70000 [15:18:08<9:33:45, 1.29s/step] Training: 62%|██████▏ | 43217/70000 [15:18:09<9:21:14, 1.26s/step] Training: 62%|██████▏ | 43218/70000 [15:18:10<9:31:53, 1.28s/step] Training: 62%|██████▏ | 43219/70000 [15:18:11<9:19:39, 1.25s/step] Training: 62%|██████▏ | 43220/70000 [15:18:13<9:30:13, 1.28s/step] Training: 62%|██████▏ | 43221/70000 [15:18:14<9:18:39, 1.25s/step] Training: 62%|██████▏ | 43222/70000 [15:18:15<9:27:37, 1.27s/step] Training: 62%|██████▏ | 43223/70000 [15:18:16<9:16:57, 1.25s/step] Training: 62%|██████▏ | 43224/70000 [15:18:18<9:26:33, 1.27s/step] Training: 62%|██████▏ | 43225/70000 [15:18:19<9:15:44, 1.25s/step] Training: 62%|██████▏ | 43226/70000 [15:18:20<9:32:48, 1.28s/step] Training: 62%|██████▏ | 43227/70000 [15:18:22<9:20:25, 1.26s/step] Training: 62%|██████▏ | 43228/70000 [15:18:23<9:35:12, 1.29s/step] Training: 62%|██████▏ | 43229/70000 [15:18:24<9:21:38, 1.26s/step] Training: 62%|██████▏ | 43230/70000 [15:18:25<9:22:14, 1.26s/step] Training: 62%|██████▏ | 43231/70000 [15:18:27<9:13:08, 1.24s/step] Training: 62%|██████▏ | 43232/70000 [15:18:28<9:24:22, 1.27s/step] Training: 62%|██████▏ | 43233/70000 [15:18:29<9:14:45, 1.24s/step] Training: 62%|██████▏ | 43234/70000 [15:18:30<9:16:11, 1.25s/step] Training: 62%|██████▏ | 43235/70000 [15:18:32<9:08:36, 1.23s/step] Training: 62%|██████▏ | 43236/70000 [15:18:33<9:15:12, 1.24s/step] Training: 62%|██████▏ | 43237/70000 [15:18:34<9:07:56, 1.23s/step] Training: 62%|██████▏ | 43238/70000 [15:18:35<9:20:23, 1.26s/step] Training: 62%|██████▏ | 43239/70000 [15:18:37<9:11:44, 1.24s/step] Training: 62%|██████▏ | 43240/70000 [15:18:38<9:24:00, 1.26s/step] Training: 62%|██████▏ | 43241/70000 [15:18:39<9:14:27, 1.24s/step] Training: 62%|██████▏ | 43242/70000 [15:18:40<9:26:38, 1.27s/step] Training: 62%|██████▏ | 43243/70000 [15:18:42<9:15:45, 1.25s/step] Training: 62%|██████▏ | 43244/70000 [15:18:43<9:11:32, 1.24s/step] Training: 62%|██████▏ | 43245/70000 [15:18:44<9:19:23, 1.25s/step] Training: 62%|██████▏ | 43246/70000 [15:18:45<9:28:50, 1.28s/step] Training: 62%|██████▏ | 43247/70000 [15:18:47<9:37:58, 1.30s/step] Training: 62%|██████▏ | 43248/70000 [15:18:48<9:39:56, 1.30s/step] Training: 62%|██████▏ | 43249/70000 [15:18:49<9:25:29, 1.27s/step] Training: 62%|██████▏ | 43250/70000 [15:18:51<9:34:22, 1.29s/step] Training: 62%|██████▏ | 43251/70000 [15:18:52<9:21:13, 1.26s/step] Training: 62%|██████▏ | 43252/70000 [15:18:53<9:31:18, 1.28s/step] Training: 62%|██████▏ | 43253/70000 [15:18:54<9:18:44, 1.25s/step] Training: 62%|██████▏ | 43254/70000 [15:18:56<9:28:40, 1.28s/step] Training: 62%|██████▏ | 43255/70000 [15:18:57<9:26:44, 1.27s/step] Training: 62%|██████▏ | 43256/70000 [15:18:58<9:34:37, 1.29s/step] Training: 62%|██████▏ | 43257/70000 [15:18:59<9:21:20, 1.26s/step] Training: 62%|██████▏ | 43258/70000 [15:19:01<9:34:57, 1.29s/step] Training: 62%|██████▏ | 43259/70000 [15:19:02<9:21:52, 1.26s/step] Training: 62%|██████▏ | 43260/70000 [15:19:03<9:31:51, 1.28s/step] Training: 62%|██████▏ | 43261/70000 [15:19:04<9:19:23, 1.26s/step] Training: 62%|██████▏ | 43262/70000 [15:19:06<9:12:26, 1.24s/step] Training: 62%|██████▏ | 43263/70000 [15:19:07<9:05:38, 1.22s/step] Training: 62%|██████▏ | 43264/70000 [15:19:08<9:34:18, 1.29s/step] Training: 62%|██████▏ | 43265/70000 [15:19:10<9:20:47, 1.26s/step] Training: 62%|██████▏ | 43266/70000 [15:19:11<9:21:29, 1.26s/step] Training: 62%|██████▏ | 43267/70000 [15:19:12<9:12:06, 1.24s/step] Training: 62%|██████▏ | 43268/70000 [15:19:13<9:13:10, 1.24s/step] Training: 62%|██████▏ | 43269/70000 [15:19:14<9:05:49, 1.23s/step] Training: 62%|██████▏ | 43270/70000 [15:19:16<9:18:51, 1.25s/step] Training: 62%|██████▏ | 43271/70000 [15:19:17<9:32:57, 1.29s/step] Training: 62%|██████▏ | 43272/70000 [15:19:18<9:38:08, 1.30s/step] Training: 62%|██████▏ | 43273/70000 [15:19:20<9:24:00, 1.27s/step] Training: 62%|██████▏ | 43274/70000 [15:19:21<9:33:30, 1.29s/step] Training: 62%|██████▏ | 43275/70000 [15:19:22<9:20:21, 1.26s/step] Training: 62%|██████▏ | 43276/70000 [15:19:23<9:16:43, 1.25s/step] Training: 62%|██████▏ | 43277/70000 [15:19:25<9:19:55, 1.26s/step] Training: 62%|██████▏ | 43278/70000 [15:19:26<9:29:17, 1.28s/step] Training: 62%|██████▏ | 43279/70000 [15:19:27<9:17:25, 1.25s/step] Training: 62%|██████▏ | 43280/70000 [15:19:29<9:41:56, 1.31s/step] Training: 62%|██████▏ | 43281/70000 [15:19:30<9:27:02, 1.27s/step] Training: 62%|██████▏ | 43282/70000 [15:19:31<9:35:58, 1.29s/step] Training: 62%|██████▏ | 43283/70000 [15:19:32<9:39:34, 1.30s/step] Training: 62%|██████▏ | 43284/70000 [15:19:34<9:42:07, 1.31s/step] Training: 62%|██████▏ | 43285/70000 [15:19:35<9:26:48, 1.27s/step] Training: 62%|██████▏ | 43286/70000 [15:19:36<9:32:45, 1.29s/step] Training: 62%|██████▏ | 43287/70000 [15:19:37<9:19:40, 1.26s/step] Training: 62%|██████▏ | 43288/70000 [15:19:39<9:41:50, 1.31s/step] Training: 62%|██████▏ | 43289/70000 [15:19:40<9:26:13, 1.27s/step] Training: 62%|██████▏ | 43290/70000 [15:19:41<9:36:12, 1.29s/step] Training: 62%|██████▏ | 43291/70000 [15:19:43<9:37:28, 1.30s/step] Training: 62%|██████▏ | 43292/70000 [15:19:44<9:24:18, 1.27s/step] Training: 62%|██████▏ | 43293/70000 [15:19:45<9:13:25, 1.24s/step] Training: 62%|██████▏ | 43294/70000 [15:19:46<9:09:00, 1.23s/step] Training: 62%|██████▏ | 43295/70000 [15:19:48<9:02:44, 1.22s/step] Training: 62%|██████▏ | 43296/70000 [15:19:49<9:16:55, 1.25s/step] Training: 62%|██████▏ | 43297/70000 [15:19:50<9:08:33, 1.23s/step] Training: 62%|██████▏ | 43298/70000 [15:19:51<9:08:47, 1.23s/step] Training: 62%|██████▏ | 43299/70000 [15:19:52<9:03:40, 1.22s/step] Training: 62%|██████▏ | 43300/70000 [15:19:54<9:10:28, 1.24s/step]INFO 2026-03-13 11:29:46 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.70 loss:0.011 grdn:1.005 lr:8.7e-06 updt_s:1.241 data_s:0.019 Training: 62%|██████▏ | 43301/70000 [15:19:55<9:03:57, 1.22s/step] Training: 62%|██████▏ | 43302/70000 [15:19:56<9:17:13, 1.25s/step] Training: 62%|██████▏ | 43303/70000 [15:19:57<9:09:20, 1.23s/step] Training: 62%|██████▏ | 43304/70000 [15:19:59<9:28:13, 1.28s/step] Training: 62%|██████▏ | 43305/70000 [15:20:00<9:34:55, 1.29s/step] Training: 62%|██████▏ | 43306/70000 [15:20:01<9:23:34, 1.27s/step] Training: 62%|██████▏ | 43307/70000 [15:20:03<9:28:26, 1.28s/step] Training: 62%|██████▏ | 43308/70000 [15:20:04<9:18:59, 1.26s/step] Training: 62%|██████▏ | 43309/70000 [15:20:05<9:24:03, 1.27s/step] Training: 62%|██████▏ | 43310/70000 [15:20:06<9:31:43, 1.29s/step] Training: 62%|██████▏ | 43311/70000 [15:20:08<9:18:42, 1.26s/step] Training: 62%|██████▏ | 43312/70000 [15:20:09<9:28:39, 1.28s/step] Training: 62%|██████▏ | 43313/70000 [15:20:10<9:39:54, 1.30s/step] Training: 62%|██████▏ | 43314/70000 [15:20:12<9:45:13, 1.32s/step] Training: 62%|██████▏ | 43315/70000 [15:20:13<9:46:40, 1.32s/step] Training: 62%|██████▏ | 43316/70000 [15:20:14<9:47:37, 1.32s/step] Training: 62%|██████▏ | 43317/70000 [15:20:16<9:29:44, 1.28s/step] Training: 62%|██████▏ | 43318/70000 [15:20:17<9:35:13, 1.29s/step] Training: 62%|██████▏ | 43319/70000 [15:20:18<9:21:15, 1.26s/step] Training: 62%|██████▏ | 43320/70000 [15:20:19<9:31:10, 1.28s/step] Training: 62%|██████▏ | 43321/70000 [15:20:21<9:37:18, 1.30s/step] Training: 62%|██████▏ | 43322/70000 [15:20:22<9:38:57, 1.30s/step] Training: 62%|██████▏ | 43323/70000 [15:20:23<9:26:19, 1.27s/step] Training: 62%|██████▏ | 43324/70000 [15:20:25<9:38:15, 1.30s/step] Training: 62%|██████▏ | 43325/70000 [15:20:26<9:23:08, 1.27s/step] Training: 62%|██████▏ | 43326/70000 [15:20:27<9:14:28, 1.25s/step] Training: 62%|██████▏ | 43327/70000 [15:20:28<9:06:49, 1.23s/step] Training: 62%|██████▏ | 43328/70000 [15:20:29<9:19:47, 1.26s/step] Training: 62%|██████▏ | 43329/70000 [15:20:31<9:32:03, 1.29s/step] Training: 62%|██████▏ | 43330/70000 [15:20:32<9:23:29, 1.27s/step] Training: 62%|██████▏ | 43331/70000 [15:20:33<9:31:34, 1.29s/step] Training: 62%|██████▏ | 43332/70000 [15:20:35<9:27:10, 1.28s/step] Training: 62%|██████▏ | 43333/70000 [15:20:36<9:15:39, 1.25s/step] Training: 62%|██████▏ | 43334/70000 [15:20:37<9:25:43, 1.27s/step] Training: 62%|██████▏ | 43335/70000 [15:20:38<9:14:29, 1.25s/step] Training: 62%|██████▏ | 43336/70000 [15:20:40<9:31:11, 1.29s/step] Training: 62%|██████▏ | 43337/70000 [15:20:41<9:24:41, 1.27s/step] Training: 62%|██████▏ | 43338/70000 [15:20:42<9:14:59, 1.25s/step] Training: 62%|██████▏ | 43339/70000 [15:20:44<9:26:12, 1.27s/step] Training: 62%|██████▏ | 43340/70000 [15:20:45<9:33:25, 1.29s/step] Training: 62%|██████▏ | 43341/70000 [15:20:46<9:19:36, 1.26s/step] Training: 62%|██████▏ | 43342/70000 [15:20:47<9:27:20, 1.28s/step] Training: 62%|██████▏ | 43343/70000 [15:20:49<9:15:30, 1.25s/step] Training: 62%|██████▏ | 43344/70000 [15:20:50<9:26:18, 1.27s/step] Training: 62%|██████▏ | 43345/70000 [15:20:51<9:14:49, 1.25s/step] Training: 62%|██████▏ | 43346/70000 [15:20:52<9:37:40, 1.30s/step] Training: 62%|██████▏ | 43347/70000 [15:20:54<9:41:42, 1.31s/step] Training: 62%|██████▏ | 43348/70000 [15:20:55<9:44:56, 1.32s/step] Training: 62%|██████▏ | 43349/70000 [15:20:56<9:28:14, 1.28s/step] Training: 62%|██████▏ | 43350/70000 [15:20:58<9:34:33, 1.29s/step] Training: 62%|██████▏ | 43351/70000 [15:20:59<9:20:29, 1.26s/step] Training: 62%|██████▏ | 43352/70000 [15:21:00<9:29:07, 1.28s/step] Training: 62%|██████▏ | 43353/70000 [15:21:01<9:17:16, 1.25s/step] Training: 62%|██████▏ | 43354/70000 [15:21:03<9:39:49, 1.31s/step] Training: 62%|██████▏ | 43355/70000 [15:21:04<9:27:17, 1.28s/step] Training: 62%|██████▏ | 43356/70000 [15:21:05<9:39:03, 1.30s/step] Training: 62%|██████▏ | 43357/70000 [15:21:07<9:23:23, 1.27s/step] Training: 62%|██████▏ | 43358/70000 [15:21:08<9:15:10, 1.25s/step] Training: 62%|██████▏ | 43359/70000 [15:21:09<9:06:43, 1.23s/step] Training: 62%|██████▏ | 43360/70000 [15:21:10<9:18:47, 1.26s/step] Training: 62%|██████▏ | 43361/70000 [15:21:11<9:09:35, 1.24s/step] Training: 62%|██████▏ | 43362/70000 [15:21:13<9:26:46, 1.28s/step] Training: 62%|██████▏ | 43363/70000 [15:21:14<9:32:58, 1.29s/step] Training: 62%|██████▏ | 43364/70000 [15:21:15<9:25:32, 1.27s/step] Training: 62%|██████▏ | 43365/70000 [15:21:17<9:14:06, 1.25s/step] Training: 62%|██████▏ | 43366/70000 [15:21:18<9:23:39, 1.27s/step] Training: 62%|██████▏ | 43367/70000 [15:21:19<9:13:24, 1.25s/step] Training: 62%|██████▏ | 43368/70000 [15:21:20<9:29:13, 1.28s/step] Training: 62%|██████▏ | 43369/70000 [15:21:22<9:18:12, 1.26s/step] Training: 62%|██████▏ | 43370/70000 [15:21:23<9:11:33, 1.24s/step] Training: 62%|██████▏ | 43371/70000 [15:21:24<9:37:59, 1.30s/step] Training: 62%|██████▏ | 43372/70000 [15:21:26<9:41:59, 1.31s/step] Training: 62%|██████▏ | 43373/70000 [15:21:27<9:25:48, 1.27s/step] Training: 62%|██████▏ | 43374/70000 [15:21:28<9:33:10, 1.29s/step] Training: 62%|██████▏ | 43375/70000 [15:21:29<9:19:49, 1.26s/step] Training: 62%|██████▏ | 43376/70000 [15:21:31<9:29:38, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=20520 Training: 62%|██████▏ | 43377/70000 [15:21:32<9:17:28, 1.26s/step] Training: 62%|██████▏ | 43378/70000 [15:21:33<9:28:14, 1.28s/step] Training: 62%|██████▏ | 43379/70000 [15:21:35<9:45:04, 1.32s/step] Training: 62%|██████▏ | 43380/70000 [15:21:36<9:48:53, 1.33s/step] Training: 62%|██████▏ | 43381/70000 [15:21:37<9:30:14, 1.29s/step] Training: 62%|██████▏ | 43382/70000 [15:21:38<9:36:45, 1.30s/step] Training: 62%|██████▏ | 43383/70000 [15:21:40<9:21:48, 1.27s/step] Training: 62%|██████▏ | 43384/70000 [15:21:41<9:31:48, 1.29s/step] Training: 62%|██████▏ | 43385/70000 [15:21:42<9:18:56, 1.26s/step] Training: 62%|██████▏ | 43386/70000 [15:21:44<9:28:17, 1.28s/step] Training: 62%|██████▏ | 43387/70000 [15:21:45<9:19:17, 1.26s/step] Training: 62%|██████▏ | 43388/70000 [15:21:46<9:32:15, 1.29s/step] Training: 62%|██████▏ | 43389/70000 [15:21:47<9:19:07, 1.26s/step] Training: 62%|██████▏ | 43390/70000 [15:21:48<9:11:44, 1.24s/step] Training: 62%|██████▏ | 43391/70000 [15:21:50<9:04:47, 1.23s/step] Training: 62%|██████▏ | 43392/70000 [15:21:51<9:18:33, 1.26s/step] Training: 62%|██████▏ | 43393/70000 [15:21:52<9:09:29, 1.24s/step] Training: 62%|██████▏ | 43394/70000 [15:21:54<9:23:43, 1.27s/step] Training: 62%|██████▏ | 43395/70000 [15:21:55<9:35:32, 1.30s/step] Training: 62%|██████▏ | 43396/70000 [15:21:56<9:30:11, 1.29s/step] Training: 62%|██████▏ | 43397/70000 [15:21:57<9:17:06, 1.26s/step] Training: 62%|██████▏ | 43398/70000 [15:21:59<9:25:40, 1.28s/step] Training: 62%|██████▏ | 43399/70000 [15:22:00<9:14:13, 1.25s/step] Training: 62%|██████▏ | 43400/70000 [15:22:01<9:32:03, 1.29s/step]INFO 2026-03-13 11:31:53 ot_train.py:435 step:43K smpl:3M ep:9K epch:36.79 loss:0.010 grdn:1.361 lr:8.6e-06 updt_s:1.254 data_s:0.019 Training: 62%|██████▏ | 43401/70000 [15:22:02<9:19:20, 1.26s/step] Training: 62%|██████▏ | 43402/70000 [15:22:04<9:16:56, 1.26s/step] Training: 62%|██████▏ | 43403/70000 [15:22:05<9:27:05, 1.28s/step] Training: 62%|██████▏ | 43404/70000 [15:22:06<9:33:16, 1.29s/step] Training: 62%|██████▏ | 43405/70000 [15:22:08<9:19:39, 1.26s/step] Training: 62%|██████▏ | 43406/70000 [15:22:09<9:27:44, 1.28s/step] Training: 62%|██████▏ | 43407/70000 [15:22:10<9:15:54, 1.25s/step] Training: 62%|██████▏ | 43408/70000 [15:22:11<9:26:36, 1.28s/step] Training: 62%|██████▏ | 43409/70000 [15:22:13<9:15:03, 1.25s/step] Training: 62%|██████▏ | 43410/70000 [15:22:14<9:27:25, 1.28s/step] Training: 62%|██████▏ | 43411/70000 [15:22:15<9:33:31, 1.29s/step] Training: 62%|██████▏ | 43412/70000 [15:22:17<9:47:46, 1.33s/step] Training: 62%|██████▏ | 43413/70000 [15:22:18<10:11:40, 1.38s/step] Training: 62%|██████▏ | 43414/70000 [15:22:19<10:04:42, 1.36s/step] Training: 62%|██████▏ | 43415/70000 [15:22:21<9:41:40, 1.31s/step] Training: 62%|██████▏ | 43416/70000 [15:22:22<9:44:49, 1.32s/step] Training: 62%|██████▏ | 43417/70000 [15:22:23<9:27:10, 1.28s/step] Training: 62%|██████▏ | 43418/70000 [15:22:25<9:34:17, 1.30s/step] Training: 62%|██████▏ | 43419/70000 [15:22:26<9:22:45, 1.27s/step] Training: 62%|██████▏ | 43420/70000 [15:22:27<9:21:19, 1.27s/step] Training: 62%|██████▏ | 43421/70000 [15:22:29<9:51:33, 1.34s/step] Training: 62%|██████▏ | 43422/70000 [15:22:30<9:35:08, 1.30s/step] Training: 62%|██████▏ | 43423/70000 [15:22:31<9:20:51, 1.27s/step] Training: 62%|██████▏ | 43424/70000 [15:22:32<9:30:14, 1.29s/step] Training: 62%|██████▏ | 43425/70000 [15:22:33<9:17:32, 1.26s/step] Training: 62%|██████▏ | 43426/70000 [15:22:35<9:27:57, 1.28s/step] Training: 62%|██████▏ | 43427/70000 [15:22:36<9:35:17, 1.30s/step] Training: 62%|██████▏ | 43428/70000 [15:22:37<9:23:33, 1.27s/step] Training: 62%|██████▏ | 43429/70000 [15:22:39<9:32:18, 1.29s/step] Training: 62%|██████▏ | 43430/70000 [15:22:40<9:35:18, 1.30s/step] Training: 62%|██████▏ | 43431/70000 [15:22:41<9:20:56, 1.27s/step] Training: 62%|██████▏ | 43432/70000 [15:22:43<9:32:30, 1.29s/step] Training: 62%|██████▏ | 43433/70000 [15:22:44<9:19:26, 1.26s/step] Training: 62%|██████▏ | 43434/70000 [15:22:45<9:15:12, 1.25s/step] Training: 62%|██████▏ | 43435/70000 [15:22:46<9:25:25, 1.28s/step] Training: 62%|██████▏ | 43436/70000 [15:22:48<9:36:29, 1.30s/step] Training: 62%|██████▏ | 43437/70000 [15:22:49<9:20:50, 1.27s/step] Training: 62%|██████▏ | 43438/70000 [15:22:50<9:28:41, 1.28s/step] Training: 62%|██████▏ | 43439/70000 [15:22:51<9:16:21, 1.26s/step] Training: 62%|██████▏ | 43440/70000 [15:22:53<9:26:12, 1.28s/step] Training: 62%|██████▏ | 43441/70000 [15:22:54<9:14:23, 1.25s/step] Training: 62%|██████▏ | 43442/70000 [15:22:55<9:26:00, 1.28s/step] Training: 62%|██████▏ | 43443/70000 [15:22:56<9:19:57, 1.27s/step] Training: 62%|██████▏ | 43444/70000 [15:22:58<9:28:42, 1.28s/step] Training: 62%|██████▏ | 43445/70000 [15:22:59<9:36:18, 1.30s/step] Training: 62%|██████▏ | 43446/70000 [15:23:00<9:39:10, 1.31s/step] Training: 62%|██████▏ | 43447/70000 [15:23:02<9:23:00, 1.27s/step] Training: 62%|██████▏ | 43448/70000 [15:23:03<9:30:34, 1.29s/step] Training: 62%|██████▏ | 43449/70000 [15:23:04<9:17:47, 1.26s/step] Training: 62%|██████▏ | 43450/70000 [15:23:05<9:27:32, 1.28s/step] Training: 62%|██████▏ | 43451/70000 [15:23:07<9:17:35, 1.26s/step] Training: 62%|██████▏ | 43452/70000 [15:23:08<9:13:03, 1.25s/step] Training: 62%|██████▏ | 43453/70000 [15:23:09<9:26:45, 1.28s/step] Training: 62%|██████▏ | 43454/70000 [15:23:10<9:16:08, 1.26s/step] Training: 62%|██████▏ | 43455/70000 [15:23:12<9:07:35, 1.24s/step] Training: 62%|██████▏ | 43456/70000 [15:23:13<9:15:06, 1.25s/step] Training: 62%|██████▏ | 43457/70000 [15:23:14<9:05:22, 1.23s/step] Training: 62%|██████▏ | 43458/70000 [15:23:15<9:17:08, 1.26s/step] Training: 62%|██████▏ | 43459/70000 [15:23:17<9:27:07, 1.28s/step] Training: 62%|██████▏ | 43460/70000 [15:23:18<9:18:27, 1.26s/step] Training: 62%|██████▏ | 43461/70000 [15:23:19<9:12:56, 1.25s/step] Training: 62%|██████▏ | 43462/70000 [15:23:21<9:23:35, 1.27s/step] Training: 62%|██████▏ | 43463/70000 [15:23:22<9:11:53, 1.25s/step] Training: 62%|██████▏ | 43464/70000 [15:23:23<9:10:17, 1.24s/step] Training: 62%|██████▏ | 43465/70000 [15:23:24<9:03:00, 1.23s/step] Training: 62%|██████▏ | 43466/70000 [15:23:25<9:11:33, 1.25s/step] Training: 62%|██████▏ | 43467/70000 [15:23:27<9:22:51, 1.27s/step] Training: 62%|██████▏ | 43468/70000 [15:23:28<9:30:19, 1.29s/step] Training: 62%|██████▏ | 43469/70000 [15:23:30<9:44:22, 1.32s/step] Training: 62%|██████▏ | 43470/70000 [15:23:31<9:45:17, 1.32s/step] Training: 62%|██████▏ | 43471/70000 [15:23:32<9:27:02, 1.28s/step] Training: 62%|██████▏ | 43472/70000 [15:23:33<9:16:11, 1.26s/step] Training: 62%|██████▏ | 43473/70000 [15:23:34<9:07:10, 1.24s/step] Training: 62%|██████▏ | 43474/70000 [15:23:36<9:02:06, 1.23s/step] Training: 62%|██████▏ | 43475/70000 [15:23:37<9:02:33, 1.23s/step] Training: 62%|██████▏ | 43476/70000 [15:23:38<9:16:47, 1.26s/step] Training: 62%|██████▏ | 43477/70000 [15:23:40<9:28:11, 1.29s/step] Training: 62%|██████▏ | 43478/70000 [15:23:41<9:33:27, 1.30s/step] Training: 62%|██████▏ | 43479/70000 [15:23:42<9:19:25, 1.27s/step] Training: 62%|██████▏ | 43480/70000 [15:23:43<9:32:43, 1.30s/step] Training: 62%|██████▏ | 43481/70000 [15:23:45<9:18:40, 1.26s/step] Training: 62%|██████▏ | 43482/70000 [15:23:46<9:08:09, 1.24s/step] Training: 62%|██████▏ | 43483/70000 [15:23:47<9:04:42, 1.23s/step] Training: 62%|██████▏ | 43484/70000 [15:23:48<9:04:13, 1.23s/step] Training: 62%|██████▏ | 43485/70000 [15:23:49<9:04:11, 1.23s/step] Training: 62%|██████▏ | 43486/70000 [15:23:51<9:20:35, 1.27s/step] Training: 62%|██████▏ | 43487/70000 [15:23:52<9:10:12, 1.25s/step] Training: 62%|██████▏ | 43488/70000 [15:23:53<9:19:51, 1.27s/step] Training: 62%|██████▏ | 43489/70000 [15:23:55<9:09:39, 1.24s/step] Training: 62%|██████▏ | 43490/70000 [15:23:56<9:08:45, 1.24s/step] Training: 62%|██████▏ | 43491/70000 [15:23:57<9:20:09, 1.27s/step] Training: 62%|██████▏ | 43492/70000 [15:23:58<9:11:18, 1.25s/step] Training: 62%|██████▏ | 43493/70000 [15:24:00<9:05:25, 1.23s/step] Training: 62%|██████▏ | 43494/70000 [15:24:01<9:29:59, 1.29s/step] Training: 62%|██████▏ | 43495/70000 [15:24:02<9:16:17, 1.26s/step] Training: 62%|██████▏ | 43496/70000 [15:24:03<9:30:52, 1.29s/step] Training: 62%|██████▏ | 43497/70000 [15:24:05<9:17:23, 1.26s/step] Training: 62%|██████▏ | 43498/70000 [15:24:06<9:13:10, 1.25s/step] Training: 62%|██████▏ | 43499/70000 [15:24:07<9:23:01, 1.27s/step] Training: 62%|██████▏ | 43500/70000 [15:24:09<9:30:16, 1.29s/step]INFO 2026-03-13 11:34:01 ot_train.py:435 step:44K smpl:3M ep:9K epch:36.87 loss:0.011 grdn:1.371 lr:8.6e-06 updt_s:1.252 data_s:0.019 Training: 62%|██████▏ | 43501/70000 [15:24:10<9:16:30, 1.26s/step] Training: 62%|██████▏ | 43502/70000 [15:24:11<9:41:28, 1.32s/step] Training: 62%|██████▏ | 43503/70000 [15:24:12<9:24:10, 1.28s/step] Training: 62%|██████▏ | 43504/70000 [15:24:14<9:33:18, 1.30s/step] Training: 62%|██████▏ | 43505/70000 [15:24:15<9:19:18, 1.27s/step] Training: 62%|██████▏ | 43506/70000 [15:24:16<9:08:51, 1.24s/step] Training: 62%|██████▏ | 43507/70000 [15:24:17<9:19:58, 1.27s/step] Training: 62%|██████▏ | 43508/70000 [15:24:19<9:28:06, 1.29s/step] Training: 62%|██████▏ | 43509/70000 [15:24:20<9:33:33, 1.30s/step] Training: 62%|██████▏ | 43510/70000 [15:24:21<9:36:05, 1.30s/step] Training: 62%|██████▏ | 43511/70000 [15:24:23<9:40:53, 1.32s/step] Training: 62%|██████▏ | 43512/70000 [15:24:24<9:46:57, 1.33s/step] Training: 62%|██████▏ | 43513/70000 [15:24:25<9:28:06, 1.29s/step] Training: 62%|██████▏ | 43514/70000 [15:24:26<9:15:21, 1.26s/step] Training: 62%|██████▏ | 43515/70000 [15:24:28<9:08:45, 1.24s/step] Training: 62%|██████▏ | 43516/70000 [15:24:29<9:06:05, 1.24s/step] Training: 62%|██████▏ | 43517/70000 [15:24:30<9:01:58, 1.23s/step] Training: 62%|██████▏ | 43518/70000 [15:24:31<8:59:08, 1.22s/step] Training: 62%|██████▏ | 43519/70000 [15:24:33<9:10:03, 1.25s/step] Training: 62%|██████▏ | 43520/70000 [15:24:34<9:19:52, 1.27s/step] Training: 62%|██████▏ | 43521/70000 [15:24:35<9:09:19, 1.24s/step] Training: 62%|██████▏ | 43522/70000 [15:24:36<9:07:39, 1.24s/step] Training: 62%|██████▏ | 43523/70000 [15:24:38<9:19:24, 1.27s/step] Training: 62%|██████▏ | 43524/70000 [15:24:39<9:12:14, 1.25s/step] Training: 62%|██████▏ | 43525/70000 [15:24:40<9:10:28, 1.25s/step] Training: 62%|██████▏ | 43526/70000 [15:24:41<9:20:55, 1.27s/step] Training: 62%|██████▏ | 43527/70000 [15:24:43<9:31:19, 1.29s/step] Training: 62%|██████▏ | 43528/70000 [15:24:44<9:39:29, 1.31s/step] Training: 62%|██████▏ | 43529/70000 [15:24:45<9:23:49, 1.28s/step] Training: 62%|██████▏ | 43530/70000 [15:24:47<9:14:51, 1.26s/step] Training: 62%|██████▏ | 43531/70000 [15:24:48<9:24:59, 1.28s/step] Training: 62%|██████▏ | 43532/70000 [15:24:49<9:31:53, 1.30s/step] Training: 62%|██████▏ | 43533/70000 [15:24:50<9:17:51, 1.26s/step] Training: 62%|██████▏ | 43534/70000 [15:24:52<9:48:01, 1.33s/step] Training: 62%|██████▏ | 43535/70000 [15:24:53<9:28:49, 1.29s/step] Training: 62%|██████▏ | 43536/70000 [15:24:55<9:51:57, 1.34s/step] Training: 62%|██████▏ | 43537/70000 [15:24:56<9:31:58, 1.30s/step] Training: 62%|██████▏ | 43538/70000 [15:24:57<9:35:45, 1.31s/step] Training: 62%|██████▏ | 43539/70000 [15:24:58<9:25:33, 1.28s/step] Training: 62%|██████▏ | 43540/70000 [15:25:00<9:32:09, 1.30s/step] Training: 62%|██████▏ | 43541/70000 [15:25:01<9:18:02, 1.27s/step] Training: 62%|██████▏ | 43542/70000 [15:25:02<9:27:46, 1.29s/step] Training: 62%|██████▏ | 43543/70000 [15:25:03<9:14:55, 1.26s/step] Training: 62%|██████▏ | 43544/70000 [15:25:05<9:39:34, 1.31s/step] Training: 62%|██████▏ | 43545/70000 [15:25:06<9:22:46, 1.28s/step] Training: 62%|██████▏ | 43546/70000 [15:25:07<9:29:09, 1.29s/step] Training: 62%|██████▏ | 43547/70000 [15:25:09<9:18:57, 1.27s/step] Training: 62%|██████▏ | 43548/70000 [15:25:10<9:13:05, 1.25s/step] Training: 62%|██████▏ | 43549/70000 [15:25:11<9:09:50, 1.25s/step] Training: 62%|██████▏ | 43550/70000 [15:25:12<9:04:17, 1.23s/step] Training: 62%|██████▏ | 43551/70000 [15:25:13<8:58:22, 1.22s/step] Training: 62%|██████▏ | 43552/70000 [15:25:15<9:26:18, 1.28s/step] Training: 62%|██████▏ | 43553/70000 [15:25:16<9:13:44, 1.26s/step] Training: 62%|██████▏ | 43554/70000 [15:25:17<9:10:48, 1.25s/step] Training: 62%|██████▏ | 43555/70000 [15:25:19<9:21:30, 1.27s/step] Training: 62%|██████▏ | 43556/70000 [15:25:20<9:13:28, 1.26s/step] Training: 62%|██████▏ | 43557/70000 [15:25:21<9:08:17, 1.24s/step] Training: 62%|██████▏ | 43558/70000 [15:25:22<9:21:47, 1.27s/step] Training: 62%|██████▏ | 43559/70000 [15:25:24<9:10:36, 1.25s/step] Training: 62%|██████▏ | 43560/70000 [15:25:25<9:34:36, 1.30s/step] Training: 62%|██████▏ | 43561/70000 [15:25:26<9:19:55, 1.27s/step] Training: 62%|██████▏ | 43562/70000 [15:25:27<9:11:06, 1.25s/step] Training: 62%|██████▏ | 43563/70000 [15:25:29<9:20:57, 1.27s/step] Training: 62%|██████▏ | 43564/70000 [15:25:30<9:28:59, 1.29s/step] Training: 62%|██████▏ | 43565/70000 [15:25:31<9:34:20, 1.30s/step] Training: 62%|██████▏ | 43566/70000 [15:25:33<9:38:22, 1.31s/step] Training: 62%|██████▏ | 43567/70000 [15:25:34<9:22:45, 1.28s/step] Training: 62%|██████▏ | 43568/70000 [15:25:35<9:32:27, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=65245 Training: 62%|██████▏ | 43569/70000 [15:25:36<9:16:18, 1.26s/step] Training: 62%|██████▏ | 43570/70000 [15:25:38<9:26:01, 1.28s/step] Training: 62%|██████▏ | 43571/70000 [15:25:39<9:18:33, 1.27s/step] Training: 62%|██████▏ | 43572/70000 [15:25:40<9:26:17, 1.29s/step] Training: 62%|██████▏ | 43573/70000 [15:25:42<9:31:16, 1.30s/step] Training: 62%|██████▏ | 43574/70000 [15:25:43<9:21:38, 1.28s/step] Training: 62%|██████▏ | 43575/70000 [15:25:44<9:10:24, 1.25s/step] Training: 62%|██████▏ | 43576/70000 [15:25:45<9:14:14, 1.26s/step] Training: 62%|██████▏ | 43577/70000 [15:25:47<9:21:05, 1.27s/step] Training: 62%|██████▏ | 43578/70000 [15:25:48<9:27:58, 1.29s/step] Training: 62%|██████▏ | 43579/70000 [15:25:49<9:18:38, 1.27s/step] Training: 62%|██████▏ | 43580/70000 [15:25:50<9:13:20, 1.26s/step] Training: 62%|██████▏ | 43581/70000 [15:25:52<9:08:10, 1.24s/step] Training: 62%|██████▏ | 43582/70000 [15:25:53<9:03:02, 1.23s/step] Training: 62%|██████▏ | 43583/70000 [15:25:54<8:57:42, 1.22s/step] Training: 62%|██████▏ | 43584/70000 [15:25:55<8:57:24, 1.22s/step] Training: 62%|██████▏ | 43585/70000 [15:25:57<9:13:12, 1.26s/step] Training: 62%|██████▏ | 43586/70000 [15:25:58<9:09:00, 1.25s/step] Training: 62%|██████▏ | 43587/70000 [15:25:59<9:19:07, 1.27s/step] Training: 62%|██████▏ | 43588/70000 [15:26:00<9:11:00, 1.25s/step] Training: 62%|██████▏ | 43589/70000 [15:26:02<9:04:57, 1.24s/step] Training: 62%|██████▏ | 43590/70000 [15:26:03<9:15:58, 1.26s/step] Training: 62%|██████▏ | 43591/70000 [15:26:04<9:06:46, 1.24s/step] Training: 62%|██████▏ | 43592/70000 [15:26:05<9:16:44, 1.26s/step] Training: 62%|██████▏ | 43593/70000 [15:26:07<9:21:47, 1.28s/step] Training: 62%|██████▏ | 43594/70000 [15:26:08<9:12:53, 1.26s/step] Training: 62%|██████▏ | 43595/70000 [15:26:09<9:23:25, 1.28s/step] Training: 62%|██████▏ | 43596/70000 [15:26:11<9:29:05, 1.29s/step] Training: 62%|██████▏ | 43597/70000 [15:26:12<9:34:19, 1.31s/step] Training: 62%|██████▏ | 43598/70000 [15:26:13<9:18:39, 1.27s/step] Training: 62%|██████▏ | 43599/70000 [15:26:14<9:24:13, 1.28s/step] Training: 62%|██████▏ | 43600/70000 [15:26:16<9:31:42, 1.30s/step]INFO 2026-03-13 11:36:08 ot_train.py:435 step:44K smpl:3M ep:9K epch:36.96 loss:0.010 grdn:1.235 lr:8.5e-06 updt_s:1.251 data_s:0.019 Training: 62%|██████▏ | 43601/70000 [15:26:17<9:39:16, 1.32s/step] Training: 62%|██████▏ | 43602/70000 [15:26:18<9:38:34, 1.32s/step] Training: 62%|██████▏ | 43603/70000 [15:26:20<9:28:09, 1.29s/step] Training: 62%|██████▏ | 43604/70000 [15:26:21<9:33:07, 1.30s/step] Training: 62%|██████▏ | 43605/70000 [15:26:22<9:36:37, 1.31s/step] Training: 62%|██████▏ | 43606/70000 [15:26:24<9:20:21, 1.27s/step] Training: 62%|██████▏ | 43607/70000 [15:26:25<9:22:49, 1.28s/step] Training: 62%|██████▏ | 43608/70000 [15:26:26<9:17:23, 1.27s/step] Training: 62%|██████▏ | 43609/70000 [15:26:27<9:24:28, 1.28s/step] Training: 62%|██████▏ | 43610/70000 [15:26:29<9:47:55, 1.34s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=41695 Training: 62%|██████▏ | 43611/70000 [15:26:30<9:31:03, 1.30s/step] Training: 62%|██████▏ | 43612/70000 [15:26:31<9:20:38, 1.27s/step] Training: 62%|██████▏ | 43613/70000 [15:26:32<9:14:24, 1.26s/step] Training: 62%|██████▏ | 43614/70000 [15:26:34<9:05:20, 1.24s/step] Training: 62%|██████▏ | 43615/70000 [15:26:35<8:58:41, 1.22s/step] Training: 62%|██████▏ | 43616/70000 [15:26:36<8:54:50, 1.22s/step] Training: 62%|██████▏ | 43617/70000 [15:26:37<9:10:12, 1.25s/step] Training: 62%|██████▏ | 43618/70000 [15:26:39<9:23:07, 1.28s/step] Training: 62%|██████▏ | 43619/70000 [15:26:40<9:30:55, 1.30s/step] Training: 62%|██████▏ | 43620/70000 [15:26:41<9:21:43, 1.28s/step] Training: 62%|██████▏ | 43621/70000 [15:26:43<9:12:29, 1.26s/step] Training: 62%|██████▏ | 43622/70000 [15:26:44<9:03:39, 1.24s/step] Training: 62%|██████▏ | 43623/70000 [15:26:45<9:11:42, 1.25s/step] Training: 62%|██████▏ | 43624/70000 [15:26:46<9:23:07, 1.28s/step] Training: 62%|██████▏ | 43625/70000 [15:26:48<9:14:36, 1.26s/step] Training: 62%|██████▏ | 43626/70000 [15:26:49<9:08:09, 1.25s/step] Training: 62%|██████▏ | 43627/70000 [15:26:50<9:19:04, 1.27s/step] Training: 62%|██████▏ | 43628/70000 [15:26:51<9:09:10, 1.25s/step] Training: 62%|██████▏ | 43629/70000 [15:26:53<9:33:27, 1.30s/step] Training: 62%|██████▏ | 43630/70000 [15:26:54<9:18:02, 1.27s/step] Training: 62%|██████▏ | 43631/70000 [15:26:55<9:24:51, 1.29s/step] Training: 62%|██████▏ | 43632/70000 [15:26:57<9:30:22, 1.30s/step] Training: 62%|██████▏ | 43633/70000 [15:26:58<9:34:31, 1.31s/step] Training: 62%|██████▏ | 43634/70000 [15:26:59<9:42:19, 1.33s/step] Training: 62%|██████▏ | 43635/70000 [15:27:01<9:32:48, 1.30s/step] Training: 62%|██████▏ | 43636/70000 [15:27:02<9:36:46, 1.31s/step] Training: 62%|██████▏ | 43637/70000 [15:27:03<9:39:06, 1.32s/step] Training: 62%|██████▏ | 43638/70000 [15:27:04<9:22:31, 1.28s/step] Training: 62%|██████▏ | 43639/70000 [15:27:06<9:14:01, 1.26s/step] Training: 62%|██████▏ | 43640/70000 [15:27:07<9:10:22, 1.25s/step] Training: 62%|██████▏ | 43641/70000 [15:27:08<9:18:22, 1.27s/step] Training: 62%|██████▏ | 43642/70000 [15:27:09<9:26:17, 1.29s/step] Training: 62%|██████▏ | 43643/70000 [15:27:11<9:21:16, 1.28s/step] Training: 62%|██████▏ | 43644/70000 [15:27:12<9:11:29, 1.26s/step] Training: 62%|██████▏ | 43645/70000 [15:27:13<9:07:04, 1.25s/step] Training: 62%|██████▏ | 43646/70000 [15:27:14<8:59:59, 1.23s/step] Training: 62%|██████▏ | 43647/70000 [15:27:16<9:12:28, 1.26s/step] Training: 62%|██████▏ | 43648/70000 [15:27:17<9:06:26, 1.24s/step] Training: 62%|██████▏ | 43649/70000 [15:27:18<9:17:48, 1.27s/step] Training: 62%|██████▏ | 43650/70000 [15:27:19<9:13:00, 1.26s/step] Training: 62%|██████▏ | 43651/70000 [15:27:21<9:25:43, 1.29s/step] Training: 62%|██████▏ | 43652/70000 [15:27:22<9:23:57, 1.28s/step] Training: 62%|██████▏ | 43653/70000 [15:27:23<9:14:50, 1.26s/step] Training: 62%|██████▏ | 43654/70000 [15:27:24<9:04:38, 1.24s/step] Training: 62%|██████▏ | 43655/70000 [15:27:26<9:16:06, 1.27s/step] Training: 62%|██████▏ | 43656/70000 [15:27:27<9:24:24, 1.29s/step] Training: 62%|██████▏ | 43657/70000 [15:27:28<9:13:39, 1.26s/step] Training: 62%|██████▏ | 43658/70000 [15:27:30<9:06:58, 1.25s/step] Training: 62%|██████▏ | 43659/70000 [15:27:31<9:29:00, 1.30s/step] Training: 62%|██████▏ | 43660/70000 [15:27:33<11:27:02, 1.57s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 62%|██████▏ | 43661/70000 [15:27:38<17:32:38, 2.40s/step] Training: 62%|██████▏ | 43662/70000 [15:27:39<14:53:37, 2.04s/step] Training: 62%|██████▏ | 43663/70000 [15:27:40<13:28:25, 1.84s/step] Training: 62%|██████▏ | 43664/70000 [15:27:41<12:32:28, 1.71s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=73581 Training: 62%|██████▏ | 43665/70000 [15:27:43<11:50:29, 1.62s/step] Training: 62%|██████▏ | 43666/70000 [15:27:44<10:54:27, 1.49s/step] Training: 62%|██████▏ | 43667/70000 [15:27:45<10:40:43, 1.46s/step] Training: 62%|██████▏ | 43668/70000 [15:27:47<10:45:48, 1.47s/step] Training: 62%|██████▏ | 43669/70000 [15:27:48<10:28:19, 1.43s/step] Training: 62%|██████▏ | 43670/70000 [15:27:50<9:56:09, 1.36s/step] Training: 62%|██████▏ | 43671/70000 [15:27:51<9:38:35, 1.32s/step] Training: 62%|██████▏ | 43672/70000 [15:27:52<9:26:30, 1.29s/step] Training: 62%|██████▏ | 43673/70000 [15:27:53<9:31:42, 1.30s/step] Training: 62%|██████▏ | 43674/70000 [15:27:55<9:36:55, 1.31s/step] Training: 62%|██████▏ | 43675/70000 [15:27:56<9:43:25, 1.33s/step] Training: 62%|██████▏ | 43676/70000 [15:27:57<9:42:40, 1.33s/step] Training: 62%|██████▏ | 43677/70000 [15:27:59<9:29:28, 1.30s/step] Training: 62%|██████▏ | 43678/70000 [15:28:00<9:15:12, 1.27s/step] Training: 62%|██████▏ | 43679/70000 [15:28:01<9:25:02, 1.29s/step] Training: 62%|██████▏ | 43680/70000 [15:28:02<9:14:34, 1.26s/step] Training: 62%|██████▏ | 43681/70000 [15:28:04<9:23:10, 1.28s/step] Training: 62%|██████▏ | 43682/70000 [15:28:05<9:27:10, 1.29s/step] Training: 62%|██████▏ | 43683/70000 [15:28:06<9:35:58, 1.31s/step] Training: 62%|██████▏ | 43684/70000 [15:28:08<9:40:46, 1.32s/step] Training: 62%|██████▏ | 43685/70000 [15:28:09<9:26:49, 1.29s/step] Training: 62%|██████▏ | 43686/70000 [15:28:10<9:13:38, 1.26s/step] Training: 62%|██████▏ | 43687/70000 [15:28:11<9:21:29, 1.28s/step] Training: 62%|██████▏ | 43688/70000 [15:28:13<9:29:25, 1.30s/step] Training: 62%|██████▏ | 43689/70000 [15:28:14<9:17:48, 1.27s/step] Training: 62%|██████▏ | 43690/70000 [15:28:15<9:14:28, 1.26s/step] Training: 62%|██████▏ | 43691/70000 [15:28:17<9:25:26, 1.29s/step] Training: 62%|██████▏ | 43692/70000 [15:28:18<9:42:15, 1.33s/step] Training: 62%|██████▏ | 43693/70000 [15:28:19<9:24:22, 1.29s/step] Training: 62%|██████▏ | 43694/70000 [15:28:20<9:27:27, 1.29s/step] Training: 62%|██████▏ | 43695/70000 [15:28:22<9:20:08, 1.28s/step] Training: 62%|██████▏ | 43696/70000 [15:28:23<9:26:34, 1.29s/step] Training: 62%|██████▏ | 43697/70000 [15:28:24<9:32:07, 1.31s/step] Training: 62%|██████▏ | 43698/70000 [15:28:26<9:16:58, 1.27s/step] Training: 62%|██████▏ | 43699/70000 [15:28:27<9:24:39, 1.29s/step] Training: 62%|██████▏ | 43700/70000 [15:28:28<9:30:24, 1.30s/step]INFO 2026-03-13 11:38:20 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.04 loss:0.010 grdn:1.094 lr:8.5e-06 updt_s:1.264 data_s:0.058 Training: 62%|██████▏ | 43701/70000 [15:28:30<9:34:58, 1.31s/step] Training: 62%|██████▏ | 43702/70000 [15:28:31<9:18:54, 1.28s/step] Training: 62%|██████▏ | 43703/70000 [15:28:32<9:12:08, 1.26s/step] Training: 62%|██████▏ | 43704/70000 [15:28:33<9:09:30, 1.25s/step] Training: 62%|██████▏ | 43705/70000 [15:28:34<9:18:17, 1.27s/step] Training: 62%|██████▏ | 43706/70000 [15:28:36<9:26:05, 1.29s/step] Training: 62%|██████▏ | 43707/70000 [15:28:37<9:20:12, 1.28s/step] Training: 62%|██████▏ | 43708/70000 [15:28:38<9:15:25, 1.27s/step] Training: 62%|██████▏ | 43709/70000 [15:28:40<9:07:06, 1.25s/step] Training: 62%|██████▏ | 43710/70000 [15:28:41<8:59:28, 1.23s/step] Training: 62%|██████▏ | 43711/70000 [15:28:42<9:12:43, 1.26s/step] Training: 62%|██████▏ | 43712/70000 [15:28:43<9:06:22, 1.25s/step] Training: 62%|██████▏ | 43713/70000 [15:28:45<9:17:26, 1.27s/step] Training: 62%|██████▏ | 43714/70000 [15:28:46<9:13:03, 1.26s/step] Training: 62%|██████▏ | 43715/70000 [15:28:47<9:03:31, 1.24s/step] Training: 62%|██████▏ | 43716/70000 [15:28:48<9:16:04, 1.27s/step] Training: 62%|██████▏ | 43717/70000 [15:28:50<9:10:07, 1.26s/step] Training: 62%|██████▏ | 43718/70000 [15:28:51<9:01:05, 1.24s/step] Training: 62%|██████▏ | 43719/70000 [15:28:52<9:12:24, 1.26s/step] Training: 62%|██████▏ | 43720/70000 [15:28:53<9:22:36, 1.28s/step] Training: 62%|██████▏ | 43721/70000 [15:28:55<9:13:18, 1.26s/step] Training: 62%|██████▏ | 43722/70000 [15:28:56<9:09:15, 1.25s/step] Training: 62%|██████▏ | 43723/70000 [15:28:57<9:01:34, 1.24s/step] Training: 62%|██████▏ | 43724/70000 [15:28:58<9:14:04, 1.27s/step] Training: 62%|██████▏ | 43725/70000 [15:29:00<9:25:05, 1.29s/step] Training: 62%|██████▏ | 43726/70000 [15:29:01<9:20:25, 1.28s/step] Training: 62%|██████▏ | 43727/70000 [15:29:02<9:14:19, 1.27s/step] Training: 62%|██████▏ | 43728/70000 [15:29:04<9:23:49, 1.29s/step] Training: 62%|██████▏ | 43729/70000 [15:29:05<9:29:19, 1.30s/step] Training: 62%|██████▏ | 43730/70000 [15:29:06<9:14:43, 1.27s/step] Training: 62%|██████▏ | 43731/70000 [15:29:07<9:22:49, 1.29s/step] Training: 62%|██████▏ | 43732/70000 [15:29:09<9:28:38, 1.30s/step] Training: 62%|██████▏ | 43733/70000 [15:29:10<9:43:18, 1.33s/step] Training: 62%|██████▏ | 43734/70000 [15:29:11<9:24:57, 1.29s/step] Training: 62%|██████▏ | 43735/70000 [15:29:13<9:13:56, 1.27s/step] Training: 62%|██████▏ | 43736/70000 [15:29:14<9:08:54, 1.25s/step] Training: 62%|██████▏ | 43737/70000 [15:29:15<9:18:54, 1.28s/step] Training: 62%|██████▏ | 43738/70000 [15:29:16<9:26:45, 1.29s/step] Training: 62%|██████▏ | 43739/70000 [15:29:18<9:17:31, 1.27s/step] Training: 62%|██████▏ | 43740/70000 [15:29:19<9:10:25, 1.26s/step] Training: 62%|██████▏ | 43741/70000 [15:29:20<9:11:58, 1.26s/step] Training: 62%|██████▏ | 43742/70000 [15:29:21<9:01:43, 1.24s/step] Training: 62%|██████▏ | 43743/70000 [15:29:23<9:13:36, 1.27s/step] Training: 62%|██████▏ | 43744/70000 [15:29:24<9:05:33, 1.25s/step] Training: 62%|██████▏ | 43745/70000 [15:29:25<9:02:18, 1.24s/step] Training: 62%|██████▏ | 43746/70000 [15:29:26<8:59:44, 1.23s/step] Training: 62%|██████▏ | 43747/70000 [15:29:28<9:12:26, 1.26s/step] Training: 62%|██████▏ | 43748/70000 [15:29:29<9:04:42, 1.24s/step] Training: 62%|██████▏ | 43749/70000 [15:29:30<9:02:17, 1.24s/step] Training: 62%|██████▎ | 43750/70000 [15:29:31<9:15:10, 1.27s/step] Training: 63%|██████▎ | 43751/70000 [15:29:33<9:22:02, 1.28s/step] Training: 63%|██████▎ | 43752/70000 [15:29:34<9:28:11, 1.30s/step] Training: 63%|██████▎ | 43753/70000 [15:29:35<9:16:33, 1.27s/step] Training: 63%|██████▎ | 43754/70000 [15:29:37<9:11:17, 1.26s/step] Training: 63%|██████▎ | 43755/70000 [15:29:38<9:21:03, 1.28s/step] Training: 63%|██████▎ | 43756/70000 [15:29:39<9:08:31, 1.25s/step] Training: 63%|██████▎ | 43757/70000 [15:29:40<9:17:20, 1.27s/step] Training: 63%|██████▎ | 43758/70000 [15:29:42<9:25:10, 1.29s/step] Training: 63%|██████▎ | 43759/70000 [15:29:43<9:15:35, 1.27s/step] Training: 63%|██████▎ | 43760/70000 [15:29:44<9:23:54, 1.29s/step] Training: 63%|██████▎ | 43761/70000 [15:29:46<9:29:32, 1.30s/step] Training: 63%|██████▎ | 43762/70000 [15:29:47<9:15:01, 1.27s/step] Training: 63%|██████▎ | 43763/70000 [15:29:48<9:40:09, 1.33s/step] Training: 63%|██████▎ | 43764/70000 [15:29:49<9:22:57, 1.29s/step] Training: 63%|██████▎ | 43765/70000 [15:29:51<9:15:44, 1.27s/step] Training: 63%|██████▎ | 43766/70000 [15:29:52<9:29:39, 1.30s/step] Training: 63%|██████▎ | 43767/70000 [15:29:53<9:16:26, 1.27s/step] Training: 63%|██████▎ | 43768/70000 [15:29:54<9:11:23, 1.26s/step] Training: 63%|██████▎ | 43769/70000 [15:29:56<9:21:35, 1.28s/step] Training: 63%|██████▎ | 43770/70000 [15:29:57<9:09:34, 1.26s/step] Training: 63%|██████▎ | 43771/70000 [15:29:58<9:04:09, 1.24s/step] Training: 63%|██████▎ | 43772/70000 [15:29:59<8:57:05, 1.23s/step] Training: 63%|██████▎ | 43773/70000 [15:30:01<8:58:47, 1.23s/step] Training: 63%|██████▎ | 43774/70000 [15:30:02<8:54:03, 1.22s/step] Training: 63%|██████▎ | 43775/70000 [15:30:03<9:21:27, 1.28s/step] Training: 63%|██████▎ | 43776/70000 [15:30:05<9:12:13, 1.26s/step] Training: 63%|██████▎ | 43777/70000 [15:30:06<9:06:52, 1.25s/step] Training: 63%|██████▎ | 43778/70000 [15:30:07<9:22:36, 1.29s/step] Training: 63%|██████▎ | 43779/70000 [15:30:08<9:31:15, 1.31s/step] Training: 63%|██████▎ | 43780/70000 [15:30:10<9:16:23, 1.27s/step] Training: 63%|██████▎ | 43781/70000 [15:30:11<9:25:56, 1.30s/step] Training: 63%|██████▎ | 43782/70000 [15:30:12<9:16:26, 1.27s/step] Training: 63%|██████▎ | 43783/70000 [15:30:14<9:39:02, 1.33s/step] Training: 63%|██████▎ | 43784/70000 [15:30:15<9:40:11, 1.33s/step] Training: 63%|██████▎ | 43785/70000 [15:30:16<9:27:30, 1.30s/step] Training: 63%|██████▎ | 43786/70000 [15:30:17<9:17:02, 1.27s/step] Training: 63%|██████▎ | 43787/70000 [15:30:19<9:23:35, 1.29s/step] Training: 63%|██████▎ | 43788/70000 [15:30:20<9:11:10, 1.26s/step] Training: 63%|██████▎ | 43789/70000 [15:30:21<9:22:12, 1.29s/step] Training: 63%|██████▎ | 43790/70000 [15:30:23<9:10:06, 1.26s/step] Training: 63%|██████▎ | 43791/70000 [15:30:24<9:08:09, 1.25s/step] Training: 63%|██████▎ | 43792/70000 [15:30:25<9:16:44, 1.27s/step] Training: 63%|██████▎ | 43793/70000 [15:30:26<9:06:31, 1.25s/step] Training: 63%|██████▎ | 43794/70000 [15:30:28<9:32:33, 1.31s/step] Training: 63%|██████▎ | 43795/70000 [15:30:29<9:22:01, 1.29s/step] Training: 63%|██████▎ | 43796/70000 [15:30:30<9:09:04, 1.26s/step] Training: 63%|██████▎ | 43797/70000 [15:30:32<9:22:20, 1.29s/step] Training: 63%|██████▎ | 43798/70000 [15:30:33<9:09:13, 1.26s/step] Training: 63%|██████▎ | 43799/70000 [15:30:34<9:18:37, 1.28s/step] Training: 63%|██████▎ | 43800/70000 [15:30:35<9:11:11, 1.26s/step]INFO 2026-03-13 11:40:27 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.13 loss:0.010 grdn:1.035 lr:8.4e-06 updt_s:1.249 data_s:0.019 Training: 63%|██████▎ | 43801/70000 [15:30:37<9:20:04, 1.28s/step] Training: 63%|██████▎ | 43802/70000 [15:30:38<9:26:10, 1.30s/step] Training: 63%|██████▎ | 43803/70000 [15:30:39<9:15:49, 1.27s/step] Training: 63%|██████▎ | 43804/70000 [15:30:40<9:04:56, 1.25s/step] Training: 63%|██████▎ | 43805/70000 [15:30:42<9:05:25, 1.25s/step] Training: 63%|██████▎ | 43806/70000 [15:30:43<8:57:26, 1.23s/step] Training: 63%|██████▎ | 43807/70000 [15:30:44<9:14:14, 1.27s/step] Training: 63%|██████▎ | 43808/70000 [15:30:45<9:05:22, 1.25s/step] Training: 63%|██████▎ | 43809/70000 [15:30:47<9:00:28, 1.24s/step] Training: 63%|██████▎ | 43810/70000 [15:30:48<9:14:52, 1.27s/step] Training: 63%|██████▎ | 43811/70000 [15:30:49<9:23:45, 1.29s/step] Training: 63%|██████▎ | 43812/70000 [15:30:50<9:10:16, 1.26s/step] Training: 63%|██████▎ | 43813/70000 [15:30:52<9:18:55, 1.28s/step] Training: 63%|██████▎ | 43814/70000 [15:30:53<9:06:58, 1.25s/step] Training: 63%|██████▎ | 43815/70000 [15:30:54<9:15:55, 1.27s/step] Training: 63%|██████▎ | 43816/70000 [15:30:56<9:24:23, 1.29s/step] Training: 63%|██████▎ | 43817/70000 [15:30:57<9:16:01, 1.27s/step] Training: 63%|██████▎ | 43818/70000 [15:30:58<9:06:44, 1.25s/step] Training: 63%|██████▎ | 43819/70000 [15:30:59<9:18:29, 1.28s/step] Training: 63%|██████▎ | 43820/70000 [15:31:01<9:06:54, 1.25s/step] Training: 63%|██████▎ | 43821/70000 [15:31:02<9:16:49, 1.28s/step] Training: 63%|██████▎ | 43822/70000 [15:31:03<9:05:29, 1.25s/step] Training: 63%|██████▎ | 43823/70000 [15:31:04<9:02:24, 1.24s/step] Training: 63%|██████▎ | 43824/70000 [15:31:06<9:31:15, 1.31s/step] Training: 63%|██████▎ | 43825/70000 [15:31:07<9:16:29, 1.28s/step] Training: 63%|██████▎ | 43826/70000 [15:31:08<9:43:19, 1.34s/step] Training: 63%|██████▎ | 43827/70000 [15:31:10<9:29:57, 1.31s/step] Training: 63%|██████▎ | 43828/70000 [15:31:11<9:14:35, 1.27s/step] Training: 63%|██████▎ | 43829/70000 [15:31:12<9:21:57, 1.29s/step] Training: 63%|██████▎ | 43830/70000 [15:31:13<9:10:06, 1.26s/step] Training: 63%|██████▎ | 43831/70000 [15:31:15<9:08:30, 1.26s/step] Training: 63%|██████▎ | 43832/70000 [15:31:16<9:17:00, 1.28s/step] Training: 63%|██████▎ | 43833/70000 [15:31:17<9:22:57, 1.29s/step] Training: 63%|██████▎ | 43834/70000 [15:31:19<9:28:22, 1.30s/step] Training: 63%|██████▎ | 43835/70000 [15:31:20<9:17:17, 1.28s/step] Training: 63%|██████▎ | 43836/70000 [15:31:21<9:05:57, 1.25s/step] Training: 63%|██████▎ | 43837/70000 [15:31:22<9:06:55, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=40419 Training: 63%|██████▎ | 43838/70000 [15:31:23<8:58:48, 1.24s/step] Training: 63%|██████▎ | 43839/70000 [15:31:25<8:53:23, 1.22s/step] Training: 63%|██████▎ | 43840/70000 [15:31:26<9:25:12, 1.30s/step] Training: 63%|██████▎ | 43841/70000 [15:31:27<9:10:43, 1.26s/step] Training: 63%|██████▎ | 43842/70000 [15:31:29<9:19:33, 1.28s/step] Training: 63%|██████▎ | 43843/70000 [15:31:30<9:08:35, 1.26s/step] Training: 63%|██████▎ | 43844/70000 [15:31:31<9:15:13, 1.27s/step] Training: 63%|██████▎ | 43845/70000 [15:31:32<9:21:14, 1.29s/step] Training: 63%|██████▎ | 43846/70000 [15:31:34<9:08:54, 1.26s/step] Training: 63%|██████▎ | 43847/70000 [15:31:35<9:17:59, 1.28s/step] Training: 63%|██████▎ | 43848/70000 [15:31:36<9:24:04, 1.29s/step] Training: 63%|██████▎ | 43849/70000 [15:31:38<9:31:07, 1.31s/step] Training: 63%|██████▎ | 43850/70000 [15:31:39<9:22:17, 1.29s/step] Training: 63%|██████▎ | 43851/70000 [15:31:40<9:30:08, 1.31s/step] Training: 63%|██████▎ | 43852/70000 [15:31:41<9:14:43, 1.27s/step] Training: 63%|██████▎ | 43853/70000 [15:31:43<9:22:40, 1.29s/step] Training: 63%|██████▎ | 43854/70000 [15:31:44<9:09:45, 1.26s/step] Training: 63%|██████▎ | 43855/70000 [15:31:45<9:02:37, 1.25s/step] Training: 63%|██████▎ | 43856/70000 [15:31:47<9:12:34, 1.27s/step] Training: 63%|██████▎ | 43857/70000 [15:31:48<9:23:34, 1.29s/step] Training: 63%|██████▎ | 43858/70000 [15:31:49<9:42:26, 1.34s/step] Training: 63%|██████▎ | 43859/70000 [15:31:51<9:26:12, 1.30s/step] Training: 63%|██████▎ | 43860/70000 [15:31:52<9:12:08, 1.27s/step] Training: 63%|██████▎ | 43861/70000 [15:31:53<9:20:54, 1.29s/step] Training: 63%|██████▎ | 43862/70000 [15:31:54<9:08:09, 1.26s/step] Training: 63%|██████▎ | 43863/70000 [15:31:55<9:03:09, 1.25s/step] Training: 63%|██████▎ | 43864/70000 [15:31:57<9:01:21, 1.24s/step] Training: 63%|██████▎ | 43865/70000 [15:31:58<9:11:44, 1.27s/step] Training: 63%|██████▎ | 43866/70000 [15:31:59<9:28:31, 1.31s/step] Training: 63%|██████▎ | 43867/70000 [15:32:01<9:19:50, 1.29s/step] Training: 63%|██████▎ | 43868/70000 [15:32:02<9:07:41, 1.26s/step] Training: 63%|██████▎ | 43869/70000 [15:32:03<9:07:58, 1.26s/step] Training: 63%|██████▎ | 43870/70000 [15:32:04<8:58:53, 1.24s/step] Training: 63%|██████▎ | 43871/70000 [15:32:05<8:52:46, 1.22s/step] Training: 63%|██████▎ | 43872/70000 [15:32:07<9:08:47, 1.26s/step] Training: 63%|██████▎ | 43873/70000 [15:32:08<9:04:08, 1.25s/step] Training: 63%|██████▎ | 43874/70000 [15:32:09<9:24:09, 1.30s/step] Training: 63%|██████▎ | 43875/70000 [15:32:11<9:11:29, 1.27s/step] Training: 63%|██████▎ | 43876/70000 [15:32:12<9:18:07, 1.28s/step] Training: 63%|██████▎ | 43877/70000 [15:32:13<9:23:27, 1.29s/step] Training: 63%|██████▎ | 43878/70000 [15:32:14<9:09:55, 1.26s/step] Training: 63%|██████▎ | 43879/70000 [15:32:16<9:00:27, 1.24s/step] Training: 63%|██████▎ | 43880/70000 [15:32:17<9:12:35, 1.27s/step] Training: 63%|██████▎ | 43881/70000 [15:32:18<9:11:15, 1.27s/step] Training: 63%|██████▎ | 43882/70000 [15:32:19<9:04:46, 1.25s/step] Training: 63%|██████▎ | 43883/70000 [15:32:21<9:15:48, 1.28s/step] Training: 63%|██████▎ | 43884/70000 [15:32:22<9:05:20, 1.25s/step] Training: 63%|██████▎ | 43885/70000 [15:32:23<9:16:05, 1.28s/step] Training: 63%|██████▎ | 43886/70000 [15:32:25<9:04:23, 1.25s/step] Training: 63%|██████▎ | 43887/70000 [15:32:26<9:01:39, 1.24s/step] Training: 63%|██████▎ | 43888/70000 [15:32:27<9:12:40, 1.27s/step] Training: 63%|██████▎ | 43889/70000 [15:32:28<9:02:57, 1.25s/step] Training: 63%|██████▎ | 43890/70000 [15:32:30<9:30:10, 1.31s/step] Training: 63%|██████▎ | 43891/70000 [15:32:31<9:17:34, 1.28s/step] Training: 63%|██████▎ | 43892/70000 [15:32:32<9:06:05, 1.25s/step] Training: 63%|██████▎ | 43893/70000 [15:32:33<9:16:52, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=40419 Training: 63%|██████▎ | 43894/70000 [15:32:35<9:04:55, 1.25s/step] Training: 63%|██████▎ | 43895/70000 [15:32:36<9:01:32, 1.24s/step] Training: 63%|██████▎ | 43896/70000 [15:32:37<8:58:56, 1.24s/step] Training: 63%|██████▎ | 43897/70000 [15:32:38<9:10:12, 1.26s/step] Training: 63%|██████▎ | 43898/70000 [15:32:40<9:34:25, 1.32s/step] Training: 63%|██████▎ | 43899/70000 [15:32:41<9:23:29, 1.30s/step] Training: 63%|██████▎ | 43900/70000 [15:32:42<9:09:38, 1.26s/step]INFO 2026-03-13 11:42:34 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.21 loss:0.010 grdn:1.595 lr:8.4e-06 updt_s:1.250 data_s:0.019 Training: 63%|██████▎ | 43901/70000 [15:32:44<9:06:32, 1.26s/step] Training: 63%|██████▎ | 43902/70000 [15:32:45<8:58:12, 1.24s/step] Training: 63%|██████▎ | 43903/70000 [15:32:46<8:52:02, 1.22s/step] Training: 63%|██████▎ | 43904/70000 [15:32:47<9:05:19, 1.25s/step] Training: 63%|██████▎ | 43905/70000 [15:32:48<8:58:53, 1.24s/step] Training: 63%|██████▎ | 43906/70000 [15:32:50<8:59:15, 1.24s/step] Training: 63%|██████▎ | 43907/70000 [15:32:51<9:13:35, 1.27s/step] Training: 63%|██████▎ | 43908/70000 [15:32:52<9:13:05, 1.27s/step] Training: 63%|██████▎ | 43909/70000 [15:32:54<9:21:59, 1.29s/step] Training: 63%|██████▎ | 43910/70000 [15:32:55<9:09:18, 1.26s/step] Training: 63%|██████▎ | 43911/70000 [15:32:56<9:16:41, 1.28s/step] Training: 63%|██████▎ | 43912/70000 [15:32:58<9:23:56, 1.30s/step] Training: 63%|██████▎ | 43913/70000 [15:32:59<9:14:45, 1.28s/step] Training: 63%|██████▎ | 43914/70000 [15:33:00<9:25:34, 1.30s/step] Training: 63%|██████▎ | 43915/70000 [15:33:01<9:28:56, 1.31s/step] Training: 63%|██████▎ | 43916/70000 [15:33:03<9:13:10, 1.27s/step] Training: 63%|██████▎ | 43917/70000 [15:33:04<9:20:45, 1.29s/step] Training: 63%|██████▎ | 43918/70000 [15:33:05<9:07:48, 1.26s/step] Training: 63%|██████▎ | 43919/70000 [15:33:06<9:01:43, 1.25s/step] Training: 63%|██████▎ | 43920/70000 [15:33:08<9:12:03, 1.27s/step] Training: 63%|██████▎ | 43921/70000 [15:33:09<9:02:00, 1.25s/step] Training: 63%|██████▎ | 43922/70000 [15:33:10<9:28:39, 1.31s/step] Training: 63%|██████▎ | 43923/70000 [15:33:12<9:32:25, 1.32s/step] Training: 63%|██████▎ | 43924/70000 [15:33:13<9:14:41, 1.28s/step] Training: 63%|██████▎ | 43925/70000 [15:33:14<9:20:58, 1.29s/step] Training: 63%|██████▎ | 43926/70000 [15:33:15<9:07:56, 1.26s/step] Training: 63%|██████▎ | 43927/70000 [15:33:17<9:16:31, 1.28s/step] Training: 63%|██████▎ | 43928/70000 [15:33:18<9:10:26, 1.27s/step] Training: 63%|██████▎ | 43929/70000 [15:33:19<9:00:46, 1.24s/step] Training: 63%|██████▎ | 43930/70000 [15:33:20<9:13:29, 1.27s/step] Training: 63%|██████▎ | 43931/70000 [15:33:22<9:22:33, 1.29s/step] Training: 63%|██████▎ | 43932/70000 [15:33:23<9:07:36, 1.26s/step] Training: 63%|██████▎ | 43933/70000 [15:33:24<9:05:26, 1.26s/step] Training: 63%|██████▎ | 43934/70000 [15:33:25<8:56:42, 1.24s/step] Training: 63%|██████▎ | 43935/70000 [15:33:27<8:53:21, 1.23s/step] Training: 63%|██████▎ | 43936/70000 [15:33:28<8:51:43, 1.22s/step] Training: 63%|██████▎ | 43937/70000 [15:33:29<8:57:39, 1.24s/step] Training: 63%|██████▎ | 43938/70000 [15:33:30<8:58:37, 1.24s/step] Training: 63%|██████▎ | 43939/70000 [15:33:32<8:51:46, 1.22s/step] Training: 63%|██████▎ | 43940/70000 [15:33:33<9:03:33, 1.25s/step] Training: 63%|██████▎ | 43941/70000 [15:33:34<9:12:46, 1.27s/step] Training: 63%|██████▎ | 43942/70000 [15:33:35<9:01:38, 1.25s/step] Training: 63%|██████▎ | 43943/70000 [15:33:37<9:12:00, 1.27s/step] Training: 63%|██████▎ | 43944/70000 [15:33:38<9:20:19, 1.29s/step] Training: 63%|██████▎ | 43945/70000 [15:33:39<9:09:45, 1.27s/step] Training: 63%|██████▎ | 43946/70000 [15:33:40<9:02:08, 1.25s/step] Training: 63%|██████▎ | 43947/70000 [15:33:42<9:20:16, 1.29s/step] Training: 63%|██████▎ | 43948/70000 [15:33:43<9:06:52, 1.26s/step] Training: 63%|██████▎ | 43949/70000 [15:33:44<9:16:15, 1.28s/step] Training: 63%|██████▎ | 43950/70000 [15:33:46<9:04:07, 1.25s/step] Training: 63%|██████▎ | 43951/70000 [15:33:47<9:14:20, 1.28s/step] Training: 63%|██████▎ | 43952/70000 [15:33:48<9:23:41, 1.30s/step] Training: 63%|██████▎ | 43953/70000 [15:33:50<9:28:21, 1.31s/step] Training: 63%|██████▎ | 43954/70000 [15:33:51<9:34:20, 1.32s/step] Training: 63%|██████▎ | 43955/70000 [15:33:52<9:28:47, 1.31s/step] Training: 63%|██████▎ | 43956/70000 [15:33:53<9:12:26, 1.27s/step] Training: 63%|██████▎ | 43957/70000 [15:33:55<9:18:58, 1.29s/step] Training: 63%|██████▎ | 43958/70000 [15:33:56<9:05:50, 1.26s/step] Training: 63%|██████▎ | 43959/70000 [15:33:57<9:14:17, 1.28s/step] Training: 63%|██████▎ | 43960/70000 [15:33:58<9:09:41, 1.27s/step] Training: 63%|██████▎ | 43961/70000 [15:34:00<9:17:50, 1.29s/step] Training: 63%|██████▎ | 43962/70000 [15:34:01<9:23:41, 1.30s/step] Training: 63%|██████▎ | 43963/70000 [15:34:02<9:15:00, 1.28s/step] Training: 63%|██████▎ | 43964/70000 [15:34:04<9:22:45, 1.30s/step] Training: 63%|██████▎ | 43965/70000 [15:34:05<9:11:23, 1.27s/step] Training: 63%|██████▎ | 43966/70000 [15:34:06<9:00:43, 1.25s/step] Training: 63%|██████▎ | 43967/70000 [15:34:07<8:56:06, 1.24s/step] Training: 63%|██████▎ | 43968/70000 [15:34:09<8:52:52, 1.23s/step] Training: 63%|██████▎ | 43969/70000 [15:34:10<8:54:03, 1.23s/step] Training: 63%|██████▎ | 43970/70000 [15:34:11<8:55:49, 1.24s/step] Training: 63%|██████▎ | 43971/70000 [15:34:12<8:51:55, 1.23s/step] Training: 63%|██████▎ | 43972/70000 [15:34:14<9:04:36, 1.26s/step] Training: 63%|██████▎ | 43973/70000 [15:34:15<9:12:37, 1.27s/step] Training: 63%|██████▎ | 43974/70000 [15:34:16<9:01:55, 1.25s/step] Training: 63%|██████▎ | 43975/70000 [15:34:17<9:12:37, 1.27s/step] Training: 63%|██████▎ | 43976/70000 [15:34:19<9:18:55, 1.29s/step] Training: 63%|██████▎ | 43977/70000 [15:34:20<9:09:07, 1.27s/step] Training: 63%|██████▎ | 43978/70000 [15:34:21<9:02:40, 1.25s/step] Training: 63%|██████▎ | 43979/70000 [15:34:22<8:55:18, 1.23s/step] Training: 63%|██████▎ | 43980/70000 [15:34:24<9:24:31, 1.30s/step] Training: 63%|██████▎ | 43981/70000 [15:34:25<9:26:27, 1.31s/step] Training: 63%|██████▎ | 43982/70000 [15:34:26<9:12:08, 1.27s/step] Training: 63%|██████▎ | 43983/70000 [15:34:28<9:17:27, 1.29s/step] Training: 63%|██████▎ | 43984/70000 [15:34:29<9:22:09, 1.30s/step] Training: 63%|██████▎ | 43985/70000 [15:34:30<9:26:44, 1.31s/step] Training: 63%|██████▎ | 43986/70000 [15:34:32<9:29:18, 1.31s/step] Training: 63%|██████▎ | 43987/70000 [15:34:33<9:13:36, 1.28s/step] Training: 63%|██████▎ | 43988/70000 [15:34:34<9:39:20, 1.34s/step] Training: 63%|██████▎ | 43989/70000 [15:34:36<9:40:12, 1.34s/step] Training: 63%|██████▎ | 43990/70000 [15:34:37<9:20:30, 1.29s/step] Training: 63%|██████▎ | 43991/70000 [15:34:38<9:25:34, 1.30s/step] Training: 63%|██████▎ | 43992/70000 [15:34:39<9:16:18, 1.28s/step] Training: 63%|██████▎ | 43993/70000 [15:34:41<9:23:59, 1.30s/step] Training: 63%|██████▎ | 43994/70000 [15:34:42<9:28:39, 1.31s/step] Training: 63%|██████▎ | 43995/70000 [15:34:43<9:12:41, 1.28s/step] Training: 63%|██████▎ | 43996/70000 [15:34:44<9:01:39, 1.25s/step] Training: 63%|██████▎ | 43997/70000 [15:34:46<9:14:40, 1.28s/step] Training: 63%|██████▎ | 43998/70000 [15:34:47<9:02:00, 1.25s/step] Training: 63%|██████▎ | 43999/70000 [15:34:48<8:57:10, 1.24s/step] Training: 63%|██████▎ | 44000/70000 [15:34:49<8:54:46, 1.23s/step]INFO 2026-03-13 11:44:42 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.29 loss:0.010 grdn:1.081 lr:8.3e-06 updt_s:1.250 data_s:0.019 Training: 63%|██████▎ | 44001/70000 [15:34:51<8:54:37, 1.23s/step] Training: 63%|██████▎ | 44002/70000 [15:34:52<8:54:59, 1.23s/step] Training: 63%|██████▎ | 44003/70000 [15:34:53<8:49:08, 1.22s/step] Training: 63%|██████▎ | 44004/70000 [15:34:54<8:44:47, 1.21s/step] Training: 63%|██████▎ | 44005/70000 [15:34:56<9:13:05, 1.28s/step] Training: 63%|██████▎ | 44006/70000 [15:34:57<9:01:26, 1.25s/step] Training: 63%|██████▎ | 44007/70000 [15:34:58<9:11:30, 1.27s/step] Training: 63%|██████▎ | 44008/70000 [15:35:00<9:20:28, 1.29s/step] Training: 63%|██████▎ | 44009/70000 [15:35:01<9:10:54, 1.27s/step] Training: 63%|██████▎ | 44010/70000 [15:35:02<9:03:23, 1.25s/step] Training: 63%|██████▎ | 44011/70000 [15:35:03<8:55:24, 1.24s/step] Training: 63%|██████▎ | 44012/70000 [15:35:04<8:54:53, 1.23s/step] Training: 63%|██████▎ | 44013/70000 [15:35:06<9:11:04, 1.27s/step] Training: 63%|██████▎ | 44014/70000 [15:35:07<9:00:39, 1.25s/step] Training: 63%|██████▎ | 44015/70000 [15:35:08<9:11:38, 1.27s/step] Training: 63%|██████▎ | 44016/70000 [15:35:10<9:18:27, 1.29s/step] Training: 63%|██████▎ | 44017/70000 [15:35:11<9:24:04, 1.30s/step] Training: 63%|██████▎ | 44018/70000 [15:35:12<9:28:03, 1.31s/step] Training: 63%|██████▎ | 44019/70000 [15:35:13<9:12:21, 1.28s/step] Training: 63%|██████▎ | 44020/70000 [15:35:15<9:05:15, 1.26s/step] Training: 63%|██████▎ | 44021/70000 [15:35:16<9:19:33, 1.29s/step] Training: 63%|██████▎ | 44022/70000 [15:35:17<9:06:14, 1.26s/step] Training: 63%|██████▎ | 44023/70000 [15:35:19<9:15:23, 1.28s/step] Training: 63%|██████▎ | 44024/70000 [15:35:20<9:10:08, 1.27s/step] Training: 63%|██████▎ | 44025/70000 [15:35:21<9:19:22, 1.29s/step] Training: 63%|██████▎ | 44026/70000 [15:35:22<9:24:47, 1.30s/step] Training: 63%|██████▎ | 44027/70000 [15:35:24<9:10:11, 1.27s/step] Training: 63%|██████▎ | 44028/70000 [15:35:25<9:19:05, 1.29s/step] Training: 63%|██████▎ | 44029/70000 [15:35:26<9:09:45, 1.27s/step] Training: 63%|██████▎ | 44030/70000 [15:35:28<9:18:46, 1.29s/step] Training: 63%|██████▎ | 44031/70000 [15:35:29<9:06:46, 1.26s/step] Training: 63%|██████▎ | 44032/70000 [15:35:30<8:59:30, 1.25s/step] Training: 63%|██████▎ | 44033/70000 [15:35:31<8:57:53, 1.24s/step] Training: 63%|██████▎ | 44034/70000 [15:35:32<8:57:24, 1.24s/step] Training: 63%|██████▎ | 44035/70000 [15:35:34<8:50:54, 1.23s/step] Training: 63%|██████▎ | 44036/70000 [15:35:35<9:04:49, 1.26s/step] Training: 63%|██████▎ | 44037/70000 [15:35:36<9:13:06, 1.28s/step] Training: 63%|██████▎ | 44038/70000 [15:35:38<9:12:03, 1.28s/step] Training: 63%|██████▎ | 44039/70000 [15:35:39<9:20:05, 1.29s/step] Training: 63%|██████▎ | 44040/70000 [15:35:40<9:24:26, 1.30s/step] Training: 63%|██████▎ | 44041/70000 [15:35:41<9:12:15, 1.28s/step] Training: 63%|██████▎ | 44042/70000 [15:35:43<9:03:51, 1.26s/step] Training: 63%|██████▎ | 44043/70000 [15:35:44<8:55:20, 1.24s/step] Training: 63%|██████▎ | 44044/70000 [15:35:45<8:55:28, 1.24s/step] Training: 63%|██████▎ | 44045/70000 [15:35:46<9:08:38, 1.27s/step] Training: 63%|██████▎ | 44046/70000 [15:35:48<8:59:56, 1.25s/step] Training: 63%|██████▎ | 44047/70000 [15:35:49<9:34:22, 1.33s/step] Training: 63%|██████▎ | 44048/70000 [15:35:50<9:33:04, 1.32s/step] Training: 63%|██████▎ | 44049/70000 [15:35:52<9:33:02, 1.32s/step] Training: 63%|██████▎ | 44050/70000 [15:35:53<9:33:56, 1.33s/step] Training: 63%|██████▎ | 44051/70000 [15:35:54<9:17:28, 1.29s/step] Training: 63%|██████▎ | 44052/70000 [15:35:56<9:09:22, 1.27s/step] Training: 63%|██████▎ | 44053/70000 [15:35:57<9:20:17, 1.30s/step] Training: 63%|██████▎ | 44054/70000 [15:35:58<9:29:45, 1.32s/step] Training: 63%|██████▎ | 44055/70000 [15:36:00<9:30:00, 1.32s/step] Training: 63%|██████▎ | 44056/70000 [15:36:01<9:18:06, 1.29s/step] Training: 63%|██████▎ | 44057/70000 [15:36:02<9:22:36, 1.30s/step] Training: 63%|██████▎ | 44058/70000 [15:36:03<9:26:34, 1.31s/step] Training: 63%|██████▎ | 44059/70000 [15:36:05<9:11:11, 1.27s/step] Training: 63%|██████▎ | 44060/70000 [15:36:06<8:59:53, 1.25s/step] Training: 63%|██████▎ | 44061/70000 [15:36:07<9:08:51, 1.27s/step] Training: 63%|██████▎ | 44062/70000 [15:36:08<8:58:32, 1.25s/step] Training: 63%|██████▎ | 44063/70000 [15:36:10<9:12:33, 1.28s/step] Training: 63%|██████▎ | 44064/70000 [15:36:11<9:02:45, 1.26s/step] Training: 63%|██████▎ | 44065/70000 [15:36:12<8:58:48, 1.25s/step] Training: 63%|██████▎ | 44066/70000 [15:36:13<8:58:57, 1.25s/step] Training: 63%|██████▎ | 44067/70000 [15:36:15<8:52:03, 1.23s/step] Training: 63%|██████▎ | 44068/70000 [15:36:16<8:47:45, 1.22s/step] Training: 63%|██████▎ | 44069/70000 [15:36:17<9:07:30, 1.27s/step] Training: 63%|██████▎ | 44070/70000 [15:36:18<8:57:12, 1.24s/step] Training: 63%|██████▎ | 44071/70000 [15:36:20<9:21:57, 1.30s/step] Training: 63%|██████▎ | 44072/70000 [15:36:21<9:27:10, 1.31s/step] Training: 63%|██████▎ | 44073/70000 [15:36:22<9:13:24, 1.28s/step] Training: 63%|██████▎ | 44074/70000 [15:36:24<9:05:07, 1.26s/step] Training: 63%|██████▎ | 44075/70000 [15:36:25<8:56:06, 1.24s/step] Training: 63%|██████▎ | 44076/70000 [15:36:26<8:49:50, 1.23s/step] Training: 63%|██████▎ | 44077/70000 [15:36:27<9:03:20, 1.26s/step] Training: 63%|██████▎ | 44078/70000 [15:36:28<8:54:32, 1.24s/step] Training: 63%|██████▎ | 44079/70000 [15:36:30<9:06:05, 1.26s/step] Training: 63%|██████▎ | 44080/70000 [15:36:31<9:14:26, 1.28s/step] Training: 63%|██████▎ | 44081/70000 [15:36:32<9:20:15, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=42780 Training: 63%|██████▎ | 44082/70000 [15:36:34<9:25:28, 1.31s/step] Training: 63%|██████▎ | 44083/70000 [15:36:35<9:10:04, 1.27s/step] Training: 63%|██████▎ | 44084/70000 [15:36:36<8:59:39, 1.25s/step] Training: 63%|██████▎ | 44085/70000 [15:36:38<9:15:41, 1.29s/step] Training: 63%|██████▎ | 44086/70000 [15:36:39<9:03:10, 1.26s/step] Training: 63%|██████▎ | 44087/70000 [15:36:40<9:18:48, 1.29s/step] Training: 63%|██████▎ | 44088/70000 [15:36:41<9:10:30, 1.27s/step] Training: 63%|██████▎ | 44089/70000 [15:36:43<9:18:23, 1.29s/step] Training: 63%|██████▎ | 44090/70000 [15:36:44<9:23:56, 1.31s/step] Training: 63%|██████▎ | 44091/70000 [15:36:45<9:09:38, 1.27s/step] Training: 63%|██████▎ | 44092/70000 [15:36:46<8:58:20, 1.25s/step] Training: 63%|██████▎ | 44093/70000 [15:36:48<9:09:59, 1.27s/step] Training: 63%|██████▎ | 44094/70000 [15:36:49<8:58:49, 1.25s/step] Training: 63%|██████▎ | 44095/70000 [15:36:50<8:53:18, 1.24s/step] Training: 63%|██████▎ | 44096/70000 [15:36:51<9:06:56, 1.27s/step] Training: 63%|██████▎ | 44097/70000 [15:36:53<9:01:42, 1.25s/step] Training: 63%|██████▎ | 44098/70000 [15:36:54<8:59:52, 1.25s/step] Training: 63%|██████▎ | 44099/70000 [15:36:55<8:51:58, 1.23s/step] Training: 63%|██████▎ | 44100/70000 [15:36:56<8:46:27, 1.22s/step]INFO 2026-03-13 11:46:48 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.38 loss:0.010 grdn:1.286 lr:8.3e-06 updt_s:1.248 data_s:0.019 Training: 63%|██████▎ | 44101/70000 [15:36:58<9:00:36, 1.25s/step] Training: 63%|██████▎ | 44102/70000 [15:36:59<8:52:27, 1.23s/step] Training: 63%|██████▎ | 44103/70000 [15:37:00<9:09:07, 1.27s/step] Training: 63%|██████▎ | 44104/70000 [15:37:01<9:16:00, 1.29s/step] Training: 63%|██████▎ | 44105/70000 [15:37:03<9:06:04, 1.27s/step] Training: 63%|██████▎ | 44106/70000 [15:37:04<9:00:39, 1.25s/step] Training: 63%|██████▎ | 44107/70000 [15:37:05<8:53:22, 1.24s/step] Training: 63%|██████▎ | 44108/70000 [15:37:06<8:47:11, 1.22s/step] Training: 63%|██████▎ | 44109/70000 [15:37:08<9:00:12, 1.25s/step] Training: 63%|██████▎ | 44110/70000 [15:37:09<8:52:46, 1.23s/step] Training: 63%|██████▎ | 44111/70000 [15:37:10<9:04:27, 1.26s/step] Training: 63%|██████▎ | 44112/70000 [15:37:12<9:26:10, 1.31s/step] Training: 63%|██████▎ | 44113/70000 [15:37:13<9:27:44, 1.32s/step] Training: 63%|██████▎ | 44114/70000 [15:37:14<9:11:59, 1.28s/step] Training: 63%|██████▎ | 44115/70000 [15:37:15<9:18:55, 1.30s/step] Training: 63%|██████▎ | 44116/70000 [15:37:17<9:05:29, 1.26s/step] Training: 63%|██████▎ | 44117/70000 [15:37:18<9:18:23, 1.29s/step] Training: 63%|██████▎ | 44118/70000 [15:37:19<9:04:56, 1.26s/step] Training: 63%|██████▎ | 44119/70000 [15:37:21<9:14:06, 1.28s/step] Training: 63%|██████▎ | 44120/70000 [15:37:22<9:21:05, 1.30s/step] Training: 63%|██████▎ | 44121/70000 [15:37:23<9:24:01, 1.31s/step] Training: 63%|██████▎ | 44122/70000 [15:37:25<9:29:30, 1.32s/step] Training: 63%|██████▎ | 44123/70000 [15:37:26<9:13:29, 1.28s/step] Training: 63%|██████▎ | 44124/70000 [15:37:27<9:00:58, 1.25s/step] Training: 63%|██████▎ | 44125/70000 [15:37:28<9:14:11, 1.29s/step] Training: 63%|██████▎ | 44126/70000 [15:37:29<9:01:51, 1.26s/step] Training: 63%|██████▎ | 44127/70000 [15:37:31<8:54:56, 1.24s/step] Training: 63%|██████▎ | 44128/70000 [15:37:32<8:51:49, 1.23s/step] Training: 63%|██████▎ | 44129/70000 [15:37:33<8:50:58, 1.23s/step] Training: 63%|██████▎ | 44130/70000 [15:37:34<8:50:12, 1.23s/step] Training: 63%|██████▎ | 44131/70000 [15:37:36<8:44:41, 1.22s/step] Training: 63%|██████▎ | 44132/70000 [15:37:37<8:41:07, 1.21s/step] Training: 63%|██████▎ | 44133/70000 [15:37:38<8:56:07, 1.24s/step] Training: 63%|██████▎ | 44134/70000 [15:37:39<8:49:23, 1.23s/step] Training: 63%|██████▎ | 44135/70000 [15:37:41<9:04:08, 1.26s/step] Training: 63%|██████▎ | 44136/70000 [15:37:42<9:16:24, 1.29s/step] Training: 63%|██████▎ | 44137/70000 [15:37:43<9:04:37, 1.26s/step] Training: 63%|██████▎ | 44138/70000 [15:37:44<9:13:54, 1.29s/step] Training: 63%|██████▎ | 44139/70000 [15:37:46<9:01:35, 1.26s/step] Training: 63%|██████▎ | 44140/70000 [15:37:47<8:52:27, 1.24s/step] Training: 63%|██████▎ | 44141/70000 [15:37:48<9:04:33, 1.26s/step] Training: 63%|██████▎ | 44142/70000 [15:37:49<8:54:29, 1.24s/step] Training: 63%|██████▎ | 44143/70000 [15:37:51<9:06:27, 1.27s/step] Training: 63%|██████▎ | 44144/70000 [15:37:52<9:13:18, 1.28s/step] Training: 63%|██████▎ | 44145/70000 [15:37:53<9:20:32, 1.30s/step] Training: 63%|██████▎ | 44146/70000 [15:37:55<9:10:16, 1.28s/step] Training: 63%|██████▎ | 44147/70000 [15:37:56<8:59:38, 1.25s/step] Training: 63%|██████▎ | 44148/70000 [15:37:57<8:50:01, 1.23s/step] Training: 63%|██████▎ | 44149/70000 [15:37:58<9:08:14, 1.27s/step] Training: 63%|██████▎ | 44150/70000 [15:38:00<8:57:03, 1.25s/step] Training: 63%|██████▎ | 44151/70000 [15:38:01<9:07:35, 1.27s/step] Training: 63%|██████▎ | 44152/70000 [15:38:02<8:59:21, 1.25s/step] Training: 63%|██████▎ | 44153/70000 [15:38:03<9:24:28, 1.31s/step] Training: 63%|██████▎ | 44154/70000 [15:38:05<9:28:39, 1.32s/step] Training: 63%|██████▎ | 44155/70000 [15:38:06<9:11:52, 1.28s/step] Training: 63%|██████▎ | 44156/70000 [15:38:07<9:00:00, 1.25s/step] Training: 63%|██████▎ | 44157/70000 [15:38:09<9:15:35, 1.29s/step] Training: 63%|██████▎ | 44158/70000 [15:38:10<9:02:38, 1.26s/step] Training: 63%|██████▎ | 44159/70000 [15:38:11<8:55:14, 1.24s/step] Training: 63%|██████▎ | 44160/70000 [15:38:12<9:07:20, 1.27s/step] Training: 63%|██████▎ | 44161/70000 [15:38:14<9:05:01, 1.27s/step] Training: 63%|██████▎ | 44162/70000 [15:38:15<9:14:01, 1.29s/step] Training: 63%|██████▎ | 44163/70000 [15:38:16<9:01:21, 1.26s/step] Training: 63%|██████▎ | 44164/70000 [15:38:17<8:52:36, 1.24s/step] Training: 63%|██████▎ | 44165/70000 [15:38:19<9:06:31, 1.27s/step] Training: 63%|██████▎ | 44166/70000 [15:38:20<8:55:58, 1.24s/step] Training: 63%|██████▎ | 44167/70000 [15:38:21<9:06:43, 1.27s/step] Training: 63%|██████▎ | 44168/70000 [15:38:22<8:59:15, 1.25s/step] Training: 63%|██████▎ | 44169/70000 [15:38:24<8:54:49, 1.24s/step] Training: 63%|██████▎ | 44170/70000 [15:38:25<9:24:21, 1.31s/step] Training: 63%|██████▎ | 44171/70000 [15:38:26<9:09:12, 1.28s/step] Training: 63%|██████▎ | 44172/70000 [15:38:27<8:57:45, 1.25s/step] Training: 63%|██████▎ | 44173/70000 [15:38:29<9:08:06, 1.27s/step] Training: 63%|██████▎ | 44174/70000 [15:38:30<8:57:08, 1.25s/step] Training: 63%|██████▎ | 44175/70000 [15:38:31<9:08:26, 1.27s/step] Training: 63%|██████▎ | 44176/70000 [15:38:33<9:16:21, 1.29s/step] Training: 63%|██████▎ | 44177/70000 [15:38:34<9:26:27, 1.32s/step] Training: 63%|██████▎ | 44178/70000 [15:38:35<9:13:29, 1.29s/step] Training: 63%|██████▎ | 44179/70000 [15:38:36<9:01:30, 1.26s/step] Training: 63%|██████▎ | 44180/70000 [15:38:38<8:52:52, 1.24s/step] Training: 63%|██████▎ | 44181/70000 [15:38:39<9:09:00, 1.28s/step] Training: 63%|██████▎ | 44182/70000 [15:38:40<8:57:31, 1.25s/step] Training: 63%|██████▎ | 44183/70000 [15:38:41<9:06:39, 1.27s/step] Training: 63%|██████▎ | 44184/70000 [15:38:43<9:15:08, 1.29s/step] Training: 63%|██████▎ | 44185/70000 [15:38:44<9:19:34, 1.30s/step] Training: 63%|██████▎ | 44186/70000 [15:38:46<9:38:51, 1.35s/step] Training: 63%|██████▎ | 44187/70000 [15:38:47<9:18:26, 1.30s/step] Training: 63%|██████▎ | 44188/70000 [15:38:48<9:04:01, 1.26s/step] Training: 63%|██████▎ | 44189/70000 [15:38:49<9:16:54, 1.29s/step] Training: 63%|██████▎ | 44190/70000 [15:38:50<9:03:04, 1.26s/step] Training: 63%|██████▎ | 44191/70000 [15:38:52<8:55:40, 1.25s/step] Training: 63%|██████▎ | 44192/70000 [15:38:53<9:06:01, 1.27s/step] Training: 63%|██████▎ | 44193/70000 [15:38:54<9:00:38, 1.26s/step] Training: 63%|██████▎ | 44194/70000 [15:38:56<9:25:07, 1.31s/step] Training: 63%|██████▎ | 44195/70000 [15:38:57<9:09:29, 1.28s/step] Training: 63%|██████▎ | 44196/70000 [15:38:58<8:57:50, 1.25s/step] Training: 63%|██████▎ | 44197/70000 [15:38:59<9:06:51, 1.27s/step] Training: 63%|██████▎ | 44198/70000 [15:39:01<8:55:51, 1.25s/step] Training: 63%|██████▎ | 44199/70000 [15:39:02<9:06:38, 1.27s/step] Training: 63%|██████▎ | 44200/70000 [15:39:03<8:59:45, 1.26s/step]INFO 2026-03-13 11:48:55 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.46 loss:0.010 grdn:0.985 lr:8.2e-06 updt_s:1.247 data_s:0.019 Training: 63%|██████▎ | 44201/70000 [15:39:04<8:55:27, 1.25s/step] Training: 63%|██████▎ | 44202/70000 [15:39:06<9:06:18, 1.27s/step] Training: 63%|██████▎ | 44203/70000 [15:39:07<8:56:14, 1.25s/step] Training: 63%|██████▎ | 44204/70000 [15:39:08<8:48:29, 1.23s/step] Training: 63%|██████▎ | 44205/70000 [15:39:09<9:01:44, 1.26s/step] Training: 63%|██████▎ | 44206/70000 [15:39:11<8:52:45, 1.24s/step] Training: 63%|██████▎ | 44207/70000 [15:39:12<9:04:06, 1.27s/step] Training: 63%|██████▎ | 44208/70000 [15:39:13<9:13:53, 1.29s/step] Training: 63%|██████▎ | 44209/70000 [15:39:15<9:19:16, 1.30s/step] Training: 63%|██████▎ | 44210/70000 [15:39:16<9:22:55, 1.31s/step] Training: 63%|██████▎ | 44211/70000 [15:39:17<9:06:24, 1.27s/step] Training: 63%|██████▎ | 44212/70000 [15:39:18<8:56:12, 1.25s/step] Training: 63%|██████▎ | 44213/70000 [15:39:20<9:08:01, 1.28s/step] Training: 63%|██████▎ | 44214/70000 [15:39:21<8:56:27, 1.25s/step] Training: 63%|██████▎ | 44215/70000 [15:39:22<9:06:53, 1.27s/step] Training: 63%|██████▎ | 44216/70000 [15:39:23<9:14:07, 1.29s/step] Training: 63%|██████▎ | 44217/70000 [15:39:25<9:18:34, 1.30s/step] Training: 63%|██████▎ | 44218/70000 [15:39:26<9:24:36, 1.31s/step] Training: 63%|██████▎ | 44219/70000 [15:39:27<9:07:05, 1.27s/step] Training: 63%|██████▎ | 44220/70000 [15:39:29<8:56:03, 1.25s/step] Training: 63%|██████▎ | 44221/70000 [15:39:30<9:12:14, 1.29s/step] Training: 63%|██████▎ | 44222/70000 [15:39:31<8:59:53, 1.26s/step] Training: 63%|██████▎ | 44223/70000 [15:39:32<8:53:14, 1.24s/step] Training: 63%|██████▎ | 44224/70000 [15:39:34<9:05:14, 1.27s/step] Training: 63%|██████▎ | 44225/70000 [15:39:35<9:00:38, 1.26s/step] Training: 63%|██████▎ | 44226/70000 [15:39:36<9:10:57, 1.28s/step] Training: 63%|██████▎ | 44227/70000 [15:39:37<8:59:45, 1.26s/step] Training: 63%|██████▎ | 44228/70000 [15:39:39<8:50:49, 1.24s/step] Training: 63%|██████▎ | 44229/70000 [15:39:40<8:48:08, 1.23s/step] Training: 63%|██████▎ | 44230/70000 [15:39:41<8:59:28, 1.26s/step] Training: 63%|██████▎ | 44231/70000 [15:39:42<9:08:31, 1.28s/step] Training: 63%|██████▎ | 44232/70000 [15:39:44<9:00:24, 1.26s/step] Training: 63%|██████▎ | 44233/70000 [15:39:45<8:56:11, 1.25s/step] Training: 63%|██████▎ | 44234/70000 [15:39:46<9:07:37, 1.28s/step] Training: 63%|██████▎ | 44235/70000 [15:39:48<9:16:21, 1.30s/step] Training: 63%|██████▎ | 44236/70000 [15:39:49<9:01:59, 1.26s/step] Training: 63%|██████▎ | 44237/70000 [15:39:50<9:10:21, 1.28s/step] Training: 63%|██████▎ | 44238/70000 [15:39:51<9:15:33, 1.29s/step] Training: 63%|██████▎ | 44239/70000 [15:39:53<9:20:13, 1.30s/step] Training: 63%|██████▎ | 44240/70000 [15:39:54<9:23:50, 1.31s/step] Training: 63%|██████▎ | 44241/70000 [15:39:55<9:26:00, 1.32s/step] Training: 63%|██████▎ | 44242/70000 [15:39:57<9:16:09, 1.30s/step] Training: 63%|██████▎ | 44243/70000 [15:39:58<9:18:38, 1.30s/step] Training: 63%|██████▎ | 44244/70000 [15:39:59<9:03:11, 1.27s/step] Training: 63%|██████▎ | 44245/70000 [15:40:01<9:21:32, 1.31s/step] Training: 63%|██████▎ | 44246/70000 [15:40:02<9:06:42, 1.27s/step] Training: 63%|██████▎ | 44247/70000 [15:40:03<9:00:42, 1.26s/step] Training: 63%|██████▎ | 44248/70000 [15:40:04<9:10:46, 1.28s/step] Training: 63%|██████▎ | 44249/70000 [15:40:06<9:17:48, 1.30s/step] Training: 63%|██████▎ | 44250/70000 [15:40:07<9:21:45, 1.31s/step] Training: 63%|██████▎ | 44251/70000 [15:40:08<9:29:02, 1.33s/step] Training: 63%|██████▎ | 44252/70000 [15:40:09<9:09:56, 1.28s/step] Training: 63%|██████▎ | 44253/70000 [15:40:11<9:23:12, 1.31s/step] Training: 63%|██████▎ | 44254/70000 [15:40:12<9:11:12, 1.28s/step] Training: 63%|██████▎ | 44255/70000 [15:40:13<9:01:08, 1.26s/step] Training: 63%|██████▎ | 44256/70000 [15:40:15<9:10:23, 1.28s/step] Training: 63%|██████▎ | 44257/70000 [15:40:16<9:03:58, 1.27s/step] Training: 63%|██████▎ | 44258/70000 [15:40:17<9:13:57, 1.29s/step] Training: 63%|██████▎ | 44259/70000 [15:40:18<9:00:47, 1.26s/step] Training: 63%|██████▎ | 44260/70000 [15:40:20<9:11:53, 1.29s/step] Training: 63%|██████▎ | 44261/70000 [15:40:21<9:07:01, 1.28s/step] Training: 63%|██████▎ | 44262/70000 [15:40:22<8:55:59, 1.25s/step] Training: 63%|██████▎ | 44263/70000 [15:40:24<9:06:23, 1.27s/step] Training: 63%|██████▎ | 44264/70000 [15:40:25<8:57:34, 1.25s/step] Training: 63%|██████▎ | 44265/70000 [15:40:26<8:51:08, 1.24s/step] Training: 63%|██████▎ | 44266/70000 [15:40:27<9:03:03, 1.27s/step] Training: 63%|██████▎ | 44267/70000 [15:40:28<8:53:36, 1.24s/step] Training: 63%|██████▎ | 44268/70000 [15:40:30<9:07:15, 1.28s/step] Training: 63%|██████▎ | 44269/70000 [15:40:31<9:12:59, 1.29s/step] Training: 63%|██████▎ | 44270/70000 [15:40:32<8:59:59, 1.26s/step] Training: 63%|██████▎ | 44271/70000 [15:40:34<9:09:36, 1.28s/step] Training: 63%|██████▎ | 44272/70000 [15:40:35<9:15:09, 1.29s/step] Training: 63%|██████▎ | 44273/70000 [15:40:36<9:20:49, 1.31s/step] Training: 63%|██████▎ | 44274/70000 [15:40:38<9:09:48, 1.28s/step] Training: 63%|██████▎ | 44275/70000 [15:40:39<8:58:21, 1.26s/step] Training: 63%|██████▎ | 44276/70000 [15:40:40<8:50:52, 1.24s/step] Training: 63%|██████▎ | 44277/70000 [15:40:41<9:01:51, 1.26s/step] Training: 63%|██████▎ | 44278/70000 [15:40:42<8:52:20, 1.24s/step] Training: 63%|██████▎ | 44279/70000 [15:40:44<8:51:34, 1.24s/step] Training: 63%|██████▎ | 44280/70000 [15:40:45<9:02:05, 1.26s/step] Training: 63%|██████▎ | 44281/70000 [15:40:46<9:10:48, 1.28s/step] Training: 63%|██████▎ | 44282/70000 [15:40:48<9:17:11, 1.30s/step] Training: 63%|██████▎ | 44283/70000 [15:40:49<9:03:23, 1.27s/step] Training: 63%|██████▎ | 44284/70000 [15:40:50<8:59:04, 1.26s/step] Training: 63%|██████▎ | 44285/70000 [15:40:51<9:11:48, 1.29s/step] Training: 63%|██████▎ | 44286/70000 [15:40:53<8:58:55, 1.26s/step] Training: 63%|██████▎ | 44287/70000 [15:40:54<8:55:53, 1.25s/step] Training: 63%|██████▎ | 44288/70000 [15:40:55<9:04:51, 1.27s/step] Training: 63%|██████▎ | 44289/70000 [15:40:56<8:59:36, 1.26s/step] Training: 63%|██████▎ | 44290/70000 [15:40:58<9:10:13, 1.28s/step] Training: 63%|██████▎ | 44291/70000 [15:40:59<8:58:49, 1.26s/step] Training: 63%|██████▎ | 44292/70000 [15:41:00<8:59:48, 1.26s/step] Training: 63%|██████▎ | 44293/70000 [15:41:01<8:56:06, 1.25s/step] Training: 63%|██████▎ | 44294/70000 [15:41:03<8:48:13, 1.23s/step] Training: 63%|██████▎ | 44295/70000 [15:41:04<8:42:41, 1.22s/step] Training: 63%|██████▎ | 44296/70000 [15:41:05<8:57:19, 1.25s/step] Training: 63%|██████▎ | 44297/70000 [15:41:06<8:52:07, 1.24s/step] Training: 63%|██████▎ | 44298/70000 [15:41:08<9:04:59, 1.27s/step] Training: 63%|██████▎ | 44299/70000 [15:41:09<8:54:57, 1.25s/step] Training: 63%|██████▎ | 44300/70000 [15:41:10<8:47:05, 1.23s/step]INFO 2026-03-13 11:51:02 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.55 loss:0.011 grdn:0.921 lr:8.2e-06 updt_s:1.249 data_s:0.019 Training: 63%|██████▎ | 44301/70000 [15:41:12<9:14:25, 1.29s/step] Training: 63%|██████▎ | 44302/70000 [15:41:13<9:00:44, 1.26s/step] Training: 63%|██████▎ | 44303/70000 [15:41:14<8:51:23, 1.24s/step] Training: 63%|██████▎ | 44304/70000 [15:41:15<9:14:54, 1.30s/step] Training: 63%|██████▎ | 44305/70000 [15:41:17<9:19:42, 1.31s/step] Training: 63%|██████▎ | 44306/70000 [15:41:18<9:09:23, 1.28s/step] Training: 63%|██████▎ | 44307/70000 [15:41:19<8:58:00, 1.26s/step] Training: 63%|██████▎ | 44308/70000 [15:41:20<8:49:16, 1.24s/step] Training: 63%|██████▎ | 44309/70000 [15:41:22<9:08:40, 1.28s/step] Training: 63%|██████▎ | 44310/70000 [15:41:23<8:58:56, 1.26s/step] Training: 63%|██████▎ | 44311/70000 [15:41:24<8:49:03, 1.24s/step] Training: 63%|██████▎ | 44312/70000 [15:41:25<9:12:29, 1.29s/step] Training: 63%|██████▎ | 44313/70000 [15:41:27<9:17:42, 1.30s/step] Training: 63%|██████▎ | 44314/70000 [15:41:28<9:21:48, 1.31s/step] Training: 63%|██████▎ | 44315/70000 [15:41:29<9:05:50, 1.28s/step] Training: 63%|██████▎ | 44316/70000 [15:41:31<8:55:11, 1.25s/step] Training: 63%|██████▎ | 44317/70000 [15:41:32<9:05:56, 1.28s/step] Training: 63%|██████▎ | 44318/70000 [15:41:33<9:15:44, 1.30s/step] Training: 63%|██████▎ | 44319/70000 [15:41:34<9:00:24, 1.26s/step] Training: 63%|██████▎ | 44320/70000 [15:41:36<9:09:12, 1.28s/step] Training: 63%|██████▎ | 44321/70000 [15:41:37<9:02:18, 1.27s/step] Training: 63%|██████▎ | 44322/70000 [15:41:38<9:09:35, 1.28s/step] Training: 63%|██████▎ | 44323/70000 [15:41:39<8:57:13, 1.26s/step] Training: 63%|██████▎ | 44324/70000 [15:41:41<8:48:20, 1.23s/step] Training: 63%|██████▎ | 44325/70000 [15:41:42<9:09:56, 1.29s/step] Training: 63%|██████▎ | 44326/70000 [15:41:43<8:57:04, 1.26s/step] Training: 63%|██████▎ | 44327/70000 [15:41:44<8:47:42, 1.23s/step] Training: 63%|██████▎ | 44328/70000 [15:41:46<8:44:39, 1.23s/step] Training: 63%|██████▎ | 44329/70000 [15:41:47<8:43:00, 1.22s/step] Training: 63%|██████▎ | 44330/70000 [15:41:48<8:57:11, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=45026 Training: 63%|██████▎ | 44331/70000 [15:41:49<8:48:47, 1.24s/step] Training: 63%|██████▎ | 44332/70000 [15:41:51<8:42:32, 1.22s/step] Training: 63%|██████▎ | 44333/70000 [15:41:52<8:56:57, 1.26s/step] Training: 63%|██████▎ | 44334/70000 [15:41:53<9:09:59, 1.29s/step] Training: 63%|██████▎ | 44335/70000 [15:41:54<8:56:31, 1.25s/step] Training: 63%|██████▎ | 44336/70000 [15:41:56<9:12:39, 1.29s/step] Training: 63%|██████▎ | 44337/70000 [15:41:57<9:17:35, 1.30s/step] Training: 63%|██████▎ | 44338/70000 [15:41:58<9:04:50, 1.27s/step] Training: 63%|██████▎ | 44339/70000 [15:42:00<8:53:49, 1.25s/step] Training: 63%|██████▎ | 44340/70000 [15:42:01<8:46:07, 1.23s/step] Training: 63%|██████▎ | 44341/70000 [15:42:02<8:59:50, 1.26s/step] Training: 63%|██████▎ | 44342/70000 [15:42:03<9:12:33, 1.29s/step] Training: 63%|██████▎ | 44343/70000 [15:42:05<8:58:17, 1.26s/step] Training: 63%|██████▎ | 44344/70000 [15:42:06<9:07:43, 1.28s/step] Training: 63%|██████▎ | 44345/70000 [15:42:07<9:17:17, 1.30s/step] Training: 63%|██████▎ | 44346/70000 [15:42:09<9:22:21, 1.32s/step] Training: 63%|██████▎ | 44347/70000 [15:42:10<9:06:35, 1.28s/step] Training: 63%|██████▎ | 44348/70000 [15:42:11<8:54:59, 1.25s/step] Training: 63%|██████▎ | 44349/70000 [15:42:12<9:12:59, 1.29s/step] Training: 63%|██████▎ | 44350/70000 [15:42:14<9:00:13, 1.26s/step] Training: 63%|██████▎ | 44351/70000 [15:42:15<8:50:14, 1.24s/step] Training: 63%|██████▎ | 44352/70000 [15:42:16<9:01:43, 1.27s/step] Training: 63%|██████▎ | 44353/70000 [15:42:17<8:56:24, 1.25s/step] Training: 63%|██████▎ | 44354/70000 [15:42:19<9:05:56, 1.28s/step] Training: 63%|██████▎ | 44355/70000 [15:42:20<8:54:34, 1.25s/step] Training: 63%|██████▎ | 44356/70000 [15:42:21<8:46:47, 1.23s/step] Training: 63%|██████▎ | 44357/70000 [15:42:22<8:53:03, 1.25s/step] Training: 63%|██████▎ | 44358/70000 [15:42:24<8:52:37, 1.25s/step] Training: 63%|██████▎ | 44359/70000 [15:42:25<8:43:57, 1.23s/step] Training: 63%|██████▎ | 44360/70000 [15:42:26<8:57:11, 1.26s/step] Training: 63%|██████▎ | 44361/70000 [15:42:27<8:50:42, 1.24s/step] Training: 63%|██████▎ | 44362/70000 [15:42:29<8:50:22, 1.24s/step] Training: 63%|██████▎ | 44363/70000 [15:42:30<8:42:55, 1.22s/step] Training: 63%|██████▎ | 44364/70000 [15:42:31<8:38:20, 1.21s/step] Training: 63%|██████▎ | 44365/70000 [15:42:32<8:53:19, 1.25s/step] Training: 63%|██████▎ | 44366/70000 [15:42:33<8:52:30, 1.25s/step] Training: 63%|██████▎ | 44367/70000 [15:42:35<8:43:53, 1.23s/step] Training: 63%|██████▎ | 44368/70000 [15:42:36<9:02:13, 1.27s/step] Training: 63%|██████▎ | 44369/70000 [15:42:37<8:51:42, 1.24s/step] Training: 63%|██████▎ | 44370/70000 [15:42:39<9:01:26, 1.27s/step] Training: 63%|██████▎ | 44371/70000 [15:42:40<8:51:20, 1.24s/step] Training: 63%|██████▎ | 44372/70000 [15:42:41<8:44:28, 1.23s/step] Training: 63%|██████▎ | 44373/70000 [15:42:42<8:57:42, 1.26s/step] Training: 63%|██████▎ | 44374/70000 [15:42:43<8:48:56, 1.24s/step] Training: 63%|██████▎ | 44375/70000 [15:42:45<9:03:09, 1.27s/step] Training: 63%|██████▎ | 44376/70000 [15:42:46<9:09:27, 1.29s/step] Training: 63%|██████▎ | 44377/70000 [15:42:47<8:56:51, 1.26s/step] Training: 63%|██████▎ | 44378/70000 [15:42:49<9:13:26, 1.30s/step] Training: 63%|██████▎ | 44379/70000 [15:42:50<8:59:40, 1.26s/step] Training: 63%|██████▎ | 44380/70000 [15:42:51<8:50:26, 1.24s/step] Training: 63%|██████▎ | 44381/70000 [15:42:52<9:08:09, 1.28s/step] Training: 63%|██████▎ | 44382/70000 [15:42:54<8:56:02, 1.26s/step] Training: 63%|██████▎ | 44383/70000 [15:42:55<9:00:24, 1.27s/step] Training: 63%|██████▎ | 44384/70000 [15:42:56<9:07:41, 1.28s/step] Training: 63%|██████▎ | 44385/70000 [15:42:57<8:56:29, 1.26s/step] Training: 63%|██████▎ | 44386/70000 [15:42:59<9:06:52, 1.28s/step] Training: 63%|██████▎ | 44387/70000 [15:43:00<8:55:11, 1.25s/step] Training: 63%|██████▎ | 44388/70000 [15:43:01<8:46:50, 1.23s/step] Training: 63%|██████▎ | 44389/70000 [15:43:02<8:48:57, 1.24s/step] Training: 63%|██████▎ | 44390/70000 [15:43:04<8:42:36, 1.22s/step] Training: 63%|██████▎ | 44391/70000 [15:43:05<8:58:25, 1.26s/step] Training: 63%|██████▎ | 44392/70000 [15:43:06<9:05:30, 1.28s/step] Training: 63%|██████▎ | 44393/70000 [15:43:07<8:53:53, 1.25s/step] Training: 63%|██████▎ | 44394/70000 [15:43:09<9:07:21, 1.28s/step] Training: 63%|██████▎ | 44395/70000 [15:43:10<8:55:20, 1.25s/step] Training: 63%|██████▎ | 44396/70000 [15:43:11<8:46:34, 1.23s/step] Training: 63%|██████▎ | 44397/70000 [15:43:13<9:01:30, 1.27s/step] Training: 63%|██████▎ | 44398/70000 [15:43:14<8:51:05, 1.24s/step] Training: 63%|██████▎ | 44399/70000 [15:43:15<9:04:35, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=31597 Training: 63%|██████▎ | 44400/70000 [15:43:16<9:13:38, 1.30s/step]INFO 2026-03-13 11:53:09 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.63 loss:0.010 grdn:1.069 lr:8.1e-06 updt_s:1.242 data_s:0.019 Training: 63%|██████▎ | 44401/70000 [15:43:18<8:59:47, 1.27s/step] Training: 63%|██████▎ | 44402/70000 [15:43:19<9:08:35, 1.29s/step] Training: 63%|██████▎ | 44403/70000 [15:43:20<8:56:29, 1.26s/step] Training: 63%|██████▎ | 44404/70000 [15:43:21<8:46:58, 1.24s/step] Training: 63%|██████▎ | 44405/70000 [15:43:23<8:59:56, 1.27s/step] Training: 63%|██████▎ | 44406/70000 [15:43:24<8:50:12, 1.24s/step] Training: 63%|██████▎ | 44407/70000 [15:43:25<8:43:24, 1.23s/step] Training: 63%|██████▎ | 44408/70000 [15:43:26<9:11:54, 1.29s/step] Training: 63%|██████▎ | 44409/70000 [15:43:28<8:58:37, 1.26s/step] Training: 63%|██████▎ | 44410/70000 [15:43:29<9:07:03, 1.28s/step] Training: 63%|██████▎ | 44411/70000 [15:43:30<8:55:12, 1.25s/step] Training: 63%|██████▎ | 44412/70000 [15:43:31<8:46:41, 1.23s/step] Training: 63%|██████▎ | 44413/70000 [15:43:33<9:05:15, 1.28s/step] Training: 63%|██████▎ | 44414/70000 [15:43:34<8:54:03, 1.25s/step] Training: 63%|██████▎ | 44415/70000 [15:43:35<8:46:03, 1.23s/step] Training: 63%|██████▎ | 44416/70000 [15:43:37<9:16:46, 1.31s/step] Training: 63%|██████▎ | 44417/70000 [15:43:38<9:02:05, 1.27s/step] Training: 63%|██████▎ | 44418/70000 [15:43:39<9:10:27, 1.29s/step] Training: 63%|██████▎ | 44419/70000 [15:43:40<8:58:08, 1.26s/step] Training: 63%|██████▎ | 44420/70000 [15:43:42<8:48:35, 1.24s/step] Training: 63%|██████▎ | 44421/70000 [15:43:43<8:50:16, 1.24s/step] Training: 63%|██████▎ | 44422/70000 [15:43:44<8:43:30, 1.23s/step] Training: 63%|██████▎ | 44423/70000 [15:43:45<8:38:22, 1.22s/step] Training: 63%|██████▎ | 44424/70000 [15:43:47<9:08:10, 1.29s/step] Training: 63%|██████▎ | 44425/70000 [15:43:48<8:55:43, 1.26s/step] Training: 63%|██████▎ | 44426/70000 [15:43:49<9:10:34, 1.29s/step] Training: 63%|██████▎ | 44427/70000 [15:43:50<8:58:00, 1.26s/step] Training: 63%|██████▎ | 44428/70000 [15:43:52<8:49:05, 1.24s/step] Training: 63%|██████▎ | 44429/70000 [15:43:53<8:59:08, 1.27s/step] Training: 63%|██████▎ | 44430/70000 [15:43:54<8:49:25, 1.24s/step] Training: 63%|██████▎ | 44431/70000 [15:43:55<8:42:30, 1.23s/step] Training: 63%|██████▎ | 44432/70000 [15:43:57<9:03:16, 1.27s/step] Training: 63%|██████▎ | 44433/70000 [15:43:58<8:52:29, 1.25s/step] Training: 63%|██████▎ | 44434/70000 [15:43:59<9:01:37, 1.27s/step] Training: 63%|██████▎ | 44435/70000 [15:44:00<8:51:57, 1.25s/step] Training: 63%|██████▎ | 44436/70000 [15:44:02<8:44:43, 1.23s/step] Training: 63%|██████▎ | 44437/70000 [15:44:03<8:57:26, 1.26s/step] Training: 63%|██████▎ | 44438/70000 [15:44:04<8:47:51, 1.24s/step] Training: 63%|██████▎ | 44439/70000 [15:44:05<8:41:58, 1.23s/step] Training: 63%|██████▎ | 44440/70000 [15:44:07<8:55:23, 1.26s/step] Training: 63%|██████▎ | 44441/70000 [15:44:08<8:46:57, 1.24s/step] Training: 63%|██████▎ | 44442/70000 [15:44:09<8:59:22, 1.27s/step] Training: 63%|██████▎ | 44443/70000 [15:44:10<8:49:47, 1.24s/step] Training: 63%|██████▎ | 44444/70000 [15:44:11<8:42:38, 1.23s/step] Training: 63%|██████▎ | 44445/70000 [15:44:13<8:58:03, 1.26s/step] Training: 63%|██████▎ | 44446/70000 [15:44:14<9:04:14, 1.28s/step] Training: 63%|██████▎ | 44447/70000 [15:44:15<8:53:03, 1.25s/step] Training: 63%|██████▎ | 44448/70000 [15:44:17<9:02:28, 1.27s/step] Training: 63%|██████▎ | 44449/70000 [15:44:18<9:12:07, 1.30s/step] Training: 64%|██████▎ | 44450/70000 [15:44:19<9:16:34, 1.31s/step] Training: 64%|██████▎ | 44451/70000 [15:44:21<9:02:19, 1.27s/step] Training: 64%|██████▎ | 44452/70000 [15:44:22<8:51:40, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73581 Training: 64%|██████▎ | 44453/70000 [15:44:23<8:54:32, 1.26s/step] Training: 64%|██████▎ | 44454/70000 [15:44:24<9:01:28, 1.27s/step] Training: 64%|██████▎ | 44455/70000 [15:44:26<8:51:03, 1.25s/step] Training: 64%|██████▎ | 44456/70000 [15:44:27<8:59:25, 1.27s/step] Training: 64%|██████▎ | 44457/70000 [15:44:28<9:01:15, 1.27s/step] Training: 64%|██████▎ | 44458/70000 [15:44:29<9:13:21, 1.30s/step] Training: 64%|██████▎ | 44459/70000 [15:44:31<8:59:12, 1.27s/step] Training: 64%|██████▎ | 44460/70000 [15:44:32<8:48:41, 1.24s/step] Training: 64%|██████▎ | 44461/70000 [15:44:33<9:00:42, 1.27s/step] Training: 64%|██████▎ | 44462/70000 [15:44:34<8:50:32, 1.25s/step] Training: 64%|██████▎ | 44463/70000 [15:44:36<8:43:37, 1.23s/step] Training: 64%|██████▎ | 44464/70000 [15:44:37<8:59:24, 1.27s/step] Training: 64%|██████▎ | 44465/70000 [15:44:38<9:10:34, 1.29s/step] Training: 64%|██████▎ | 44466/70000 [15:44:40<9:13:43, 1.30s/step] Training: 64%|██████▎ | 44467/70000 [15:44:41<8:59:27, 1.27s/step] Training: 64%|██████▎ | 44468/70000 [15:44:42<8:49:20, 1.24s/step] Training: 64%|██████▎ | 44469/70000 [15:44:43<9:00:23, 1.27s/step] Training: 64%|██████▎ | 44470/70000 [15:44:44<8:49:56, 1.25s/step] Training: 64%|██████▎ | 44471/70000 [15:44:46<8:42:27, 1.23s/step] Training: 64%|██████▎ | 44472/70000 [15:44:47<8:54:11, 1.26s/step] Training: 64%|██████▎ | 44473/70000 [15:44:48<9:07:31, 1.29s/step] Training: 64%|██████▎ | 44474/70000 [15:44:50<9:12:40, 1.30s/step] Training: 64%|██████▎ | 44475/70000 [15:44:51<8:59:13, 1.27s/step] Training: 64%|██████▎ | 44476/70000 [15:44:52<8:48:58, 1.24s/step] Training: 64%|██████▎ | 44477/70000 [15:44:53<9:03:15, 1.28s/step] Training: 64%|██████▎ | 44478/70000 [15:44:55<8:52:10, 1.25s/step] Training: 64%|██████▎ | 44479/70000 [15:44:56<8:44:12, 1.23s/step] Training: 64%|██████▎ | 44480/70000 [15:44:57<8:56:28, 1.26s/step] Training: 64%|██████▎ | 44481/70000 [15:44:58<8:47:21, 1.24s/step] Training: 64%|██████▎ | 44482/70000 [15:45:00<9:14:17, 1.30s/step] Training: 64%|██████▎ | 44483/70000 [15:45:01<8:59:50, 1.27s/step] Training: 64%|██████▎ | 44484/70000 [15:45:02<8:49:29, 1.25s/step] Training: 64%|██████▎ | 44485/70000 [15:45:03<8:52:18, 1.25s/step] Training: 64%|██████▎ | 44486/70000 [15:45:05<8:44:12, 1.23s/step] Training: 64%|██████▎ | 44487/70000 [15:45:06<8:38:40, 1.22s/step] Training: 64%|██████▎ | 44488/70000 [15:45:07<8:36:53, 1.22s/step] Training: 64%|██████▎ | 44489/70000 [15:45:08<8:33:44, 1.21s/step] Training: 64%|██████▎ | 44490/70000 [15:45:10<9:03:38, 1.28s/step] Training: 64%|██████▎ | 44491/70000 [15:45:11<8:51:53, 1.25s/step] Training: 64%|██████▎ | 44492/70000 [15:45:12<8:43:50, 1.23s/step] Training: 64%|██████▎ | 44493/70000 [15:45:13<9:07:26, 1.29s/step] Training: 64%|██████▎ | 44494/70000 [15:45:15<8:54:28, 1.26s/step] Training: 64%|██████▎ | 44495/70000 [15:45:16<8:46:13, 1.24s/step] Training: 64%|██████▎ | 44496/70000 [15:45:17<9:01:26, 1.27s/step] Training: 64%|██████▎ | 44497/70000 [15:45:18<8:50:28, 1.25s/step] Training: 64%|██████▎ | 44498/70000 [15:45:20<9:07:50, 1.29s/step] Training: 64%|██████▎ | 44499/70000 [15:45:21<8:55:41, 1.26s/step] Training: 64%|██████▎ | 44500/70000 [15:45:22<8:46:20, 1.24s/step]INFO 2026-03-13 11:55:14 ot_train.py:435 step:44K smpl:3M ep:10K epch:37.72 loss:0.009 grdn:0.977 lr:8.1e-06 updt_s:1.236 data_s:0.019 Training: 64%|██████▎ | 44501/70000 [15:45:23<8:58:15, 1.27s/step] Training: 64%|██████▎ | 44502/70000 [15:45:25<8:48:41, 1.24s/step] Training: 64%|██████▎ | 44503/70000 [15:45:26<8:41:42, 1.23s/step] Training: 64%|██████▎ | 44504/70000 [15:45:27<8:54:17, 1.26s/step] Training: 64%|██████▎ | 44505/70000 [15:45:28<8:45:55, 1.24s/step] Training: 64%|██████▎ | 44506/70000 [15:45:30<9:00:45, 1.27s/step] Training: 64%|██████▎ | 44507/70000 [15:45:31<8:49:35, 1.25s/step] Training: 64%|██████▎ | 44508/70000 [15:45:32<8:42:10, 1.23s/step] Training: 64%|██████▎ | 44509/70000 [15:45:33<9:00:34, 1.27s/step] Training: 64%|██████▎ | 44510/70000 [15:45:35<8:50:53, 1.25s/step] Training: 64%|██████▎ | 44511/70000 [15:45:36<8:43:46, 1.23s/step] Training: 64%|██████▎ | 44512/70000 [15:45:37<9:01:09, 1.27s/step] Training: 64%|██████▎ | 44513/70000 [15:45:38<8:50:17, 1.25s/step] Training: 64%|██████▎ | 44514/70000 [15:45:40<9:00:26, 1.27s/step] Training: 64%|██████▎ | 44515/70000 [15:45:41<8:50:31, 1.25s/step] Training: 64%|██████▎ | 44516/70000 [15:45:42<8:42:43, 1.23s/step] Training: 64%|██████▎ | 44517/70000 [15:45:43<8:45:18, 1.24s/step] Training: 64%|██████▎ | 44518/70000 [15:45:45<8:39:15, 1.22s/step] Training: 64%|██████▎ | 44519/70000 [15:45:46<8:35:40, 1.21s/step] Training: 64%|██████▎ | 44520/70000 [15:45:47<8:49:20, 1.25s/step] Training: 64%|██████▎ | 44521/70000 [15:45:48<8:41:52, 1.23s/step] Training: 64%|██████▎ | 44522/70000 [15:45:50<9:00:36, 1.27s/step] Training: 64%|██████▎ | 44523/70000 [15:45:51<9:09:17, 1.29s/step] Training: 64%|██████▎ | 44524/70000 [15:45:52<8:56:07, 1.26s/step] Training: 64%|██████▎ | 44525/70000 [15:45:54<9:07:04, 1.29s/step] Training: 64%|██████▎ | 44526/70000 [15:45:55<8:54:55, 1.26s/step] Training: 64%|██████▎ | 44527/70000 [15:45:56<8:45:29, 1.24s/step] Training: 64%|██████▎ | 44528/70000 [15:45:57<9:02:25, 1.28s/step] Training: 64%|██████▎ | 44529/70000 [15:45:58<8:51:12, 1.25s/step] Training: 64%|██████▎ | 44530/70000 [15:46:00<9:01:14, 1.28s/step] Training: 64%|██████▎ | 44531/70000 [15:46:01<9:06:40, 1.29s/step] Training: 64%|██████▎ | 44532/70000 [15:46:02<8:53:15, 1.26s/step] Training: 64%|██████▎ | 44533/70000 [15:46:04<9:03:12, 1.28s/step] Training: 64%|██████▎ | 44534/70000 [15:46:05<8:54:43, 1.26s/step] Training: 64%|██████▎ | 44535/70000 [15:46:06<8:45:29, 1.24s/step] Training: 64%|██████▎ | 44536/70000 [15:46:07<8:56:39, 1.26s/step] Training: 64%|██████▎ | 44537/70000 [15:46:09<8:46:57, 1.24s/step] Training: 64%|██████▎ | 44538/70000 [15:46:10<8:58:33, 1.27s/step] Training: 64%|██████▎ | 44539/70000 [15:46:11<9:08:44, 1.29s/step] Training: 64%|██████▎ | 44540/70000 [15:46:12<8:54:45, 1.26s/step] Training: 64%|██████▎ | 44541/70000 [15:46:14<9:00:09, 1.27s/step] Training: 64%|██████▎ | 44542/70000 [15:46:15<8:50:42, 1.25s/step] Training: 64%|██████▎ | 44543/70000 [15:46:16<8:41:35, 1.23s/step] Training: 64%|██████▎ | 44544/70000 [15:46:17<8:59:37, 1.27s/step] Training: 64%|██████▎ | 44545/70000 [15:46:19<8:48:57, 1.25s/step] Training: 64%|██████▎ | 44546/70000 [15:46:20<8:58:54, 1.27s/step] Training: 64%|██████▎ | 44547/70000 [15:46:21<8:49:00, 1.25s/step] Training: 64%|██████▎ | 44548/70000 [15:46:22<9:01:17, 1.28s/step] Training: 64%|██████▎ | 44549/70000 [15:46:24<9:12:07, 1.30s/step] Training: 64%|██████▎ | 44550/70000 [15:46:25<8:57:30, 1.27s/step] Training: 64%|██████▎ | 44551/70000 [15:46:26<8:47:23, 1.24s/step] Training: 64%|██████▎ | 44552/70000 [15:46:28<8:57:29, 1.27s/step] Training: 64%|██████▎ | 44553/70000 [15:46:29<8:47:26, 1.24s/step] Training: 64%|██████▎ | 44554/70000 [15:46:30<9:03:38, 1.28s/step] Training: 64%|██████▎ | 44555/70000 [15:46:31<8:51:41, 1.25s/step] Training: 64%|██████▎ | 44556/70000 [15:46:33<9:03:38, 1.28s/step] Training: 64%|██████▎ | 44557/70000 [15:46:34<9:08:10, 1.29s/step] Training: 64%|██████▎ | 44558/70000 [15:46:35<8:54:38, 1.26s/step] Training: 64%|██████▎ | 44559/70000 [15:46:36<8:45:36, 1.24s/step] Training: 64%|██████▎ | 44560/70000 [15:46:38<8:46:09, 1.24s/step] Training: 64%|██████▎ | 44561/70000 [15:46:39<8:57:13, 1.27s/step] Training: 64%|██████▎ | 44562/70000 [15:46:40<9:04:55, 1.29s/step] Training: 64%|██████▎ | 44563/70000 [15:46:41<8:52:59, 1.26s/step] Training: 64%|██████▎ | 44564/70000 [15:46:43<8:46:51, 1.24s/step] Training: 64%|██████▎ | 44565/70000 [15:46:44<8:56:42, 1.27s/step] Training: 64%|██████▎ | 44566/70000 [15:46:45<8:46:36, 1.24s/step] Training: 64%|██████▎ | 44567/70000 [15:46:46<8:39:37, 1.23s/step] Training: 64%|██████▎ | 44568/70000 [15:46:48<8:37:27, 1.22s/step] Training: 64%|██████▎ | 44569/70000 [15:46:49<8:40:33, 1.23s/step] Training: 64%|██████▎ | 44570/70000 [15:46:50<8:57:24, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=45026 Training: 64%|██████▎ | 44571/70000 [15:46:51<8:48:28, 1.25s/step] Training: 64%|██████▎ | 44572/70000 [15:46:53<8:43:58, 1.24s/step] Training: 64%|██████▎ | 44573/70000 [15:46:54<9:02:07, 1.28s/step] Training: 64%|██████▎ | 44574/70000 [15:46:55<8:50:18, 1.25s/step] Training: 64%|██████▎ | 44575/70000 [15:46:56<8:42:50, 1.23s/step] Training: 64%|██████▎ | 44576/70000 [15:46:58<8:55:25, 1.26s/step] Training: 64%|██████▎ | 44577/70000 [15:46:59<8:48:39, 1.25s/step] Training: 64%|██████▎ | 44578/70000 [15:47:00<9:00:02, 1.27s/step] Training: 64%|██████▎ | 44579/70000 [15:47:01<8:50:06, 1.25s/step] Training: 64%|██████▎ | 44580/70000 [15:47:03<8:55:36, 1.26s/step] Training: 64%|██████▎ | 44581/70000 [15:47:04<9:07:24, 1.29s/step] Training: 64%|██████▎ | 44582/70000 [15:47:05<8:53:52, 1.26s/step] Training: 64%|██████▎ | 44583/70000 [15:47:06<8:45:04, 1.24s/step] Training: 64%|██████▎ | 44584/70000 [15:47:08<8:58:22, 1.27s/step] Training: 64%|██████▎ | 44585/70000 [15:47:09<9:06:10, 1.29s/step] Training: 64%|██████▎ | 44586/70000 [15:47:10<8:59:02, 1.27s/step] Training: 64%|██████▎ | 44587/70000 [15:47:12<9:05:28, 1.29s/step] Training: 64%|██████▎ | 44588/70000 [15:47:13<8:53:13, 1.26s/step] Training: 64%|██████▎ | 44589/70000 [15:47:14<9:04:47, 1.29s/step] Training: 64%|██████▎ | 44590/70000 [15:47:16<9:07:11, 1.29s/step] Training: 64%|██████▎ | 44591/70000 [15:47:17<8:54:04, 1.26s/step] Training: 64%|██████▎ | 44592/70000 [15:47:18<8:50:23, 1.25s/step] Training: 64%|██████▎ | 44593/70000 [15:47:19<8:59:17, 1.27s/step] Training: 64%|██████▎ | 44594/70000 [15:47:20<8:52:40, 1.26s/step] Training: 64%|██████▎ | 44595/70000 [15:47:22<8:44:31, 1.24s/step] Training: 64%|██████▎ | 44596/70000 [15:47:23<8:38:08, 1.22s/step] Training: 64%|██████▎ | 44597/70000 [15:47:24<9:01:07, 1.28s/step] Training: 64%|██████▎ | 44598/70000 [15:47:26<8:55:44, 1.27s/step] Training: 64%|██████▎ | 44599/70000 [15:47:27<8:46:26, 1.24s/step] Training: 64%|██████▎ | 44600/70000 [15:47:28<8:41:55, 1.23s/step]INFO 2026-03-13 11:57:20 ot_train.py:435 step:45K smpl:3M ep:10K epch:37.80 loss:0.011 grdn:1.022 lr:8.0e-06 updt_s:1.237 data_s:0.019 Training: 64%|██████▎ | 44601/70000 [15:47:29<8:54:13, 1.26s/step] Training: 64%|██████▎ | 44602/70000 [15:47:31<9:07:58, 1.29s/step] Training: 64%|██████▎ | 44603/70000 [15:47:32<8:54:43, 1.26s/step] Training: 64%|██████▎ | 44604/70000 [15:47:33<8:45:24, 1.24s/step] Training: 64%|██████▎ | 44605/70000 [15:47:34<8:56:28, 1.27s/step] Training: 64%|██████▎ | 44606/70000 [15:47:36<9:08:22, 1.30s/step] Training: 64%|██████▎ | 44607/70000 [15:47:37<8:53:47, 1.26s/step] Training: 64%|██████▎ | 44608/70000 [15:47:38<9:03:14, 1.28s/step] Training: 64%|██████▎ | 44609/70000 [15:47:39<8:55:19, 1.27s/step] Training: 64%|██████▎ | 44610/70000 [15:47:41<9:02:48, 1.28s/step] Training: 64%|██████▎ | 44611/70000 [15:47:42<8:51:11, 1.26s/step] Training: 64%|██████▎ | 44612/70000 [15:47:43<8:42:22, 1.23s/step] Training: 64%|██████▎ | 44613/70000 [15:47:45<9:02:13, 1.28s/step] Training: 64%|██████▎ | 44614/70000 [15:47:46<9:07:46, 1.29s/step] Training: 64%|██████▎ | 44615/70000 [15:47:47<8:53:58, 1.26s/step] Training: 64%|██████▎ | 44616/70000 [15:47:48<9:01:11, 1.28s/step] Training: 64%|██████▎ | 44617/70000 [15:47:50<9:07:46, 1.29s/step] Training: 64%|██████▎ | 44618/70000 [15:47:51<9:16:14, 1.31s/step] Training: 64%|██████▎ | 44619/70000 [15:47:52<8:59:54, 1.28s/step] Training: 64%|██████▎ | 44620/70000 [15:47:53<8:48:27, 1.25s/step] Training: 64%|██████▎ | 44621/70000 [15:47:55<8:43:33, 1.24s/step] Training: 64%|██████▎ | 44622/70000 [15:47:56<9:11:02, 1.30s/step] Training: 64%|██████▎ | 44623/70000 [15:47:57<8:56:37, 1.27s/step] Training: 64%|██████▎ | 44624/70000 [15:47:58<8:51:57, 1.26s/step] Training: 64%|██████▍ | 44625/70000 [15:48:00<9:00:45, 1.28s/step] Training: 64%|██████▍ | 44626/70000 [15:48:01<9:06:37, 1.29s/step] Training: 64%|██████▍ | 44627/70000 [15:48:02<8:53:23, 1.26s/step] Training: 64%|██████▍ | 44628/70000 [15:48:04<8:43:51, 1.24s/step] Training: 64%|██████▍ | 44629/70000 [15:48:05<8:56:03, 1.27s/step] Training: 64%|██████▍ | 44630/70000 [15:48:06<9:07:04, 1.29s/step] Training: 64%|██████▍ | 44631/70000 [15:48:07<8:52:38, 1.26s/step] Training: 64%|██████▍ | 44632/70000 [15:48:09<8:47:24, 1.25s/step] Training: 64%|██████▍ | 44633/70000 [15:48:10<8:57:25, 1.27s/step] Training: 64%|██████▍ | 44634/70000 [15:48:11<9:08:32, 1.30s/step] Training: 64%|██████▍ | 44635/70000 [15:48:12<8:54:36, 1.26s/step] Training: 64%|██████▍ | 44636/70000 [15:48:14<8:44:53, 1.24s/step] Training: 64%|██████▍ | 44637/70000 [15:48:15<8:55:15, 1.27s/step] Training: 64%|██████▍ | 44638/70000 [15:48:16<8:48:04, 1.25s/step] Training: 64%|██████▍ | 44639/70000 [15:48:17<8:40:31, 1.23s/step] Training: 64%|██████▍ | 44640/70000 [15:48:19<8:52:50, 1.26s/step] Training: 64%|██████▍ | 44641/70000 [15:48:20<8:47:16, 1.25s/step] Training: 64%|██████▍ | 44642/70000 [15:48:21<8:58:39, 1.27s/step] Training: 64%|██████▍ | 44643/70000 [15:48:22<8:48:10, 1.25s/step] Training: 64%|██████▍ | 44644/70000 [15:48:24<8:40:20, 1.23s/step] Training: 64%|██████▍ | 44645/70000 [15:48:25<8:56:25, 1.27s/step] Training: 64%|██████▍ | 44646/70000 [15:48:26<9:10:48, 1.30s/step] Training: 64%|██████▍ | 44647/70000 [15:48:28<8:56:37, 1.27s/step] Training: 64%|██████▍ | 44648/70000 [15:48:29<9:03:28, 1.29s/step] Training: 64%|██████▍ | 44649/70000 [15:48:30<9:10:28, 1.30s/step] Training: 64%|██████▍ | 44650/70000 [15:48:32<9:18:49, 1.32s/step] Training: 64%|██████▍ | 44651/70000 [15:48:33<9:01:45, 1.28s/step] Training: 64%|██████▍ | 44652/70000 [15:48:34<8:49:54, 1.25s/step] Training: 64%|██████▍ | 44653/70000 [15:48:35<8:44:52, 1.24s/step] Training: 64%|██████▍ | 44654/70000 [15:48:37<8:56:44, 1.27s/step] Training: 64%|██████▍ | 44655/70000 [15:48:38<8:46:29, 1.25s/step] Training: 64%|██████▍ | 44656/70000 [15:48:39<8:43:32, 1.24s/step] Training: 64%|██████▍ | 44657/70000 [15:48:40<8:55:33, 1.27s/step] Training: 64%|██████▍ | 44658/70000 [15:48:42<9:04:26, 1.29s/step] Training: 64%|██████▍ | 44659/70000 [15:48:43<8:51:42, 1.26s/step] Training: 64%|██████▍ | 44660/70000 [15:48:44<8:43:46, 1.24s/step] Training: 64%|██████▍ | 44661/70000 [15:48:45<8:54:50, 1.27s/step] Training: 64%|██████▍ | 44662/70000 [15:48:47<8:49:07, 1.25s/step] Training: 64%|██████▍ | 44663/70000 [15:48:48<8:59:56, 1.28s/step] Training: 64%|██████▍ | 44664/70000 [15:48:49<8:50:08, 1.26s/step] Training: 64%|██████▍ | 44665/70000 [15:48:50<9:00:32, 1.28s/step] Training: 64%|██████▍ | 44666/70000 [15:48:52<9:12:48, 1.31s/step] Training: 64%|██████▍ | 44667/70000 [15:48:53<8:57:58, 1.27s/step] Training: 64%|██████▍ | 44668/70000 [15:48:54<8:46:58, 1.25s/step] Training: 64%|██████▍ | 44669/70000 [15:48:56<8:56:39, 1.27s/step] Training: 64%|██████▍ | 44670/70000 [15:48:57<8:48:31, 1.25s/step] Training: 64%|██████▍ | 44671/70000 [15:48:58<8:52:54, 1.26s/step] Training: 64%|██████▍ | 44672/70000 [15:48:59<9:00:29, 1.28s/step] Training: 64%|██████▍ | 44673/70000 [15:49:01<8:51:28, 1.26s/step] Training: 64%|██████▍ | 44674/70000 [15:49:02<9:00:43, 1.28s/step] Training: 64%|██████▍ | 44675/70000 [15:49:03<8:49:34, 1.25s/step] Training: 64%|██████▍ | 44676/70000 [15:49:04<8:41:18, 1.24s/step] Training: 64%|██████▍ | 44677/70000 [15:49:06<8:56:38, 1.27s/step] Training: 64%|██████▍ | 44678/70000 [15:49:07<9:03:29, 1.29s/step] Training: 64%|██████▍ | 44679/70000 [15:49:08<8:58:05, 1.28s/step] Training: 64%|██████▍ | 44680/70000 [15:49:10<9:03:34, 1.29s/step] Training: 64%|██████▍ | 44681/70000 [15:49:11<9:08:29, 1.30s/step] Training: 64%|██████▍ | 44682/70000 [15:49:12<9:13:57, 1.31s/step] Training: 64%|██████▍ | 44683/70000 [15:49:13<8:58:37, 1.28s/step] Training: 64%|██████▍ | 44684/70000 [15:49:15<8:48:31, 1.25s/step] Training: 64%|██████▍ | 44685/70000 [15:49:16<8:41:38, 1.24s/step] Training: 64%|██████▍ | 44686/70000 [15:49:17<8:54:30, 1.27s/step] Training: 64%|██████▍ | 44687/70000 [15:49:18<8:44:48, 1.24s/step] Training: 64%|██████▍ | 44688/70000 [15:49:20<8:57:16, 1.27s/step] Training: 64%|██████▍ | 44689/70000 [15:49:21<9:02:56, 1.29s/step] Training: 64%|██████▍ | 44690/70000 [15:49:22<9:07:13, 1.30s/step] Training: 64%|██████▍ | 44691/70000 [15:49:23<8:54:01, 1.27s/step] Training: 64%|██████▍ | 44692/70000 [15:49:25<8:44:14, 1.24s/step] Training: 64%|██████▍ | 44693/70000 [15:49:26<8:55:25, 1.27s/step] Training: 64%|██████▍ | 44694/70000 [15:49:27<8:49:49, 1.26s/step] Training: 64%|██████▍ | 44695/70000 [15:49:28<8:41:24, 1.24s/step] Training: 64%|██████▍ | 44696/70000 [15:49:30<8:51:49, 1.26s/step] Training: 64%|██████▍ | 44697/70000 [15:49:31<8:58:13, 1.28s/step] Training: 64%|██████▍ | 44698/70000 [15:49:32<9:09:30, 1.30s/step] Training: 64%|██████▍ | 44699/70000 [15:49:34<8:55:12, 1.27s/step] Training: 64%|██████▍ | 44700/70000 [15:49:35<8:45:06, 1.25s/step]INFO 2026-03-13 11:59:27 ot_train.py:435 step:45K smpl:3M ep:10K epch:37.89 loss:0.010 grdn:0.867 lr:8.0e-06 updt_s:1.248 data_s:0.019 Training: 64%|██████▍ | 44701/70000 [15:49:36<8:56:45, 1.27s/step] Training: 64%|██████▍ | 44702/70000 [15:49:37<8:50:37, 1.26s/step] Training: 64%|██████▍ | 44703/70000 [15:49:39<8:42:00, 1.24s/step] Training: 64%|██████▍ | 44704/70000 [15:49:40<8:57:07, 1.27s/step] Training: 64%|██████▍ | 44705/70000 [15:49:41<8:47:16, 1.25s/step] Training: 64%|██████▍ | 44706/70000 [15:49:42<8:56:53, 1.27s/step] Training: 64%|██████▍ | 44707/70000 [15:49:44<8:46:19, 1.25s/step] Training: 64%|██████▍ | 44708/70000 [15:49:45<8:38:36, 1.23s/step] Training: 64%|██████▍ | 44709/70000 [15:49:46<8:55:19, 1.27s/step] Training: 64%|██████▍ | 44710/70000 [15:49:47<9:03:12, 1.29s/step] Training: 64%|██████▍ | 44711/70000 [15:49:49<8:50:41, 1.26s/step] Training: 64%|██████▍ | 44712/70000 [15:49:50<8:58:14, 1.28s/step] Training: 64%|██████▍ | 44713/70000 [15:49:51<9:20:49, 1.33s/step] Training: 64%|██████▍ | 44714/70000 [15:49:53<9:20:33, 1.33s/step] Training: 64%|██████▍ | 44715/70000 [15:49:54<9:02:31, 1.29s/step] Training: 64%|██████▍ | 44716/70000 [15:49:55<8:49:44, 1.26s/step] Training: 64%|██████▍ | 44717/70000 [15:49:56<8:43:50, 1.24s/step] Training: 64%|██████▍ | 44718/70000 [15:49:58<8:54:28, 1.27s/step] Training: 64%|██████▍ | 44719/70000 [15:49:59<8:44:26, 1.24s/step] Training: 64%|██████▍ | 44720/70000 [15:50:00<8:42:38, 1.24s/step] Training: 64%|██████▍ | 44721/70000 [15:50:02<9:06:27, 1.30s/step] Training: 64%|██████▍ | 44722/70000 [15:50:03<9:10:13, 1.31s/step] Training: 64%|██████▍ | 44723/70000 [15:50:04<8:55:31, 1.27s/step] Training: 64%|██████▍ | 44724/70000 [15:50:05<8:44:59, 1.25s/step] Training: 64%|██████▍ | 44725/70000 [15:50:07<8:54:58, 1.27s/step] Training: 64%|██████▍ | 44726/70000 [15:50:08<8:50:18, 1.26s/step] Training: 64%|██████▍ | 44727/70000 [15:50:09<8:41:43, 1.24s/step] Training: 64%|██████▍ | 44728/70000 [15:50:10<8:39:10, 1.23s/step] Training: 64%|██████▍ | 44729/70000 [15:50:12<8:52:46, 1.26s/step] Training: 64%|██████▍ | 44730/70000 [15:50:13<9:07:20, 1.30s/step] Training: 64%|██████▍ | 44731/70000 [15:50:14<8:54:07, 1.27s/step] Training: 64%|██████▍ | 44732/70000 [15:50:15<8:44:10, 1.24s/step] Training: 64%|██████▍ | 44733/70000 [15:50:17<8:54:23, 1.27s/step] Training: 64%|██████▍ | 44734/70000 [15:50:18<8:47:51, 1.25s/step] Training: 64%|██████▍ | 44735/70000 [15:50:19<8:39:31, 1.23s/step] Training: 64%|██████▍ | 44736/70000 [15:50:20<8:50:24, 1.26s/step] Training: 64%|██████▍ | 44737/70000 [15:50:22<8:49:16, 1.26s/step] Training: 64%|██████▍ | 44738/70000 [15:50:23<8:59:37, 1.28s/step] Training: 64%|██████▍ | 44739/70000 [15:50:24<8:48:19, 1.25s/step] Training: 64%|██████▍ | 44740/70000 [15:50:25<8:39:58, 1.24s/step] Training: 64%|██████▍ | 44741/70000 [15:50:27<8:56:03, 1.27s/step] Training: 64%|██████▍ | 44742/70000 [15:50:28<9:02:07, 1.29s/step] Training: 64%|██████▍ | 44743/70000 [15:50:29<8:49:26, 1.26s/step] Training: 64%|██████▍ | 44744/70000 [15:50:31<8:57:58, 1.28s/step] Training: 64%|██████▍ | 44745/70000 [15:50:32<9:04:33, 1.29s/step] Training: 64%|██████▍ | 44746/70000 [15:50:33<9:09:19, 1.31s/step] Training: 64%|██████▍ | 44747/70000 [15:50:34<8:54:47, 1.27s/step] Training: 64%|██████▍ | 44748/70000 [15:50:36<8:44:25, 1.25s/step] Training: 64%|██████▍ | 44749/70000 [15:50:37<8:40:22, 1.24s/step] Training: 64%|██████▍ | 44750/70000 [15:50:38<8:51:34, 1.26s/step] Training: 64%|██████▍ | 44751/70000 [15:50:39<8:42:05, 1.24s/step] Training: 64%|██████▍ | 44752/70000 [15:50:41<8:42:32, 1.24s/step] Training: 64%|██████▍ | 44753/70000 [15:50:42<8:55:56, 1.27s/step] Training: 64%|██████▍ | 44754/70000 [15:50:43<9:17:13, 1.32s/step] Training: 64%|██████▍ | 44755/70000 [15:50:45<9:00:00, 1.28s/step] Training: 64%|██████▍ | 44756/70000 [15:50:46<8:48:00, 1.25s/step] Training: 64%|██████▍ | 44757/70000 [15:50:47<8:58:03, 1.28s/step] Training: 64%|██████▍ | 44758/70000 [15:50:48<8:51:06, 1.26s/step] Training: 64%|██████▍ | 44759/70000 [15:50:49<8:42:21, 1.24s/step] Training: 64%|██████▍ | 44760/70000 [15:50:51<8:36:40, 1.23s/step] Training: 64%|██████▍ | 44761/70000 [15:50:52<8:51:01, 1.26s/step] Training: 64%|██████▍ | 44762/70000 [15:50:53<9:12:41, 1.31s/step] Training: 64%|██████▍ | 44763/70000 [15:50:55<8:57:16, 1.28s/step] Training: 64%|██████▍ | 44764/70000 [15:50:56<8:46:20, 1.25s/step] Training: 64%|██████▍ | 44765/70000 [15:50:57<8:57:15, 1.28s/step] Training: 64%|██████▍ | 44766/70000 [15:50:58<8:49:15, 1.26s/step] Training: 64%|██████▍ | 44767/70000 [15:51:00<8:40:36, 1.24s/step] Training: 64%|██████▍ | 44768/70000 [15:51:01<8:52:21, 1.27s/step] Training: 64%|██████▍ | 44769/70000 [15:51:02<8:46:02, 1.25s/step] Training: 64%|██████▍ | 44770/70000 [15:51:03<8:57:09, 1.28s/step] Training: 64%|██████▍ | 44771/70000 [15:51:05<9:05:55, 1.30s/step] Training: 64%|██████▍ | 44772/70000 [15:51:06<8:51:09, 1.26s/step] Training: 64%|██████▍ | 44773/70000 [15:51:07<8:48:47, 1.26s/step] Training: 64%|██████▍ | 44774/70000 [15:51:08<8:39:59, 1.24s/step] Training: 64%|██████▍ | 44775/70000 [15:51:10<8:49:07, 1.26s/step] Training: 64%|██████▍ | 44776/70000 [15:51:11<9:00:30, 1.29s/step] Training: 64%|██████▍ | 44777/70000 [15:51:12<9:06:09, 1.30s/step] Training: 64%|██████▍ | 44778/70000 [15:51:14<9:13:05, 1.32s/step] Training: 64%|██████▍ | 44779/70000 [15:51:15<8:55:54, 1.27s/step] Training: 64%|██████▍ | 44780/70000 [15:51:16<8:46:12, 1.25s/step] Training: 64%|██████▍ | 44781/70000 [15:51:17<8:39:55, 1.24s/step] Training: 64%|██████▍ | 44782/70000 [15:51:19<8:33:50, 1.22s/step] Training: 64%|██████▍ | 44783/70000 [15:51:20<8:29:48, 1.21s/step] Training: 64%|██████▍ | 44784/70000 [15:51:21<8:31:15, 1.22s/step] Training: 64%|██████▍ | 44785/70000 [15:51:22<8:46:41, 1.25s/step] Training: 64%|██████▍ | 44786/70000 [15:51:24<8:56:09, 1.28s/step] Training: 64%|██████▍ | 44787/70000 [15:51:25<9:04:51, 1.30s/step] Training: 64%|██████▍ | 44788/70000 [15:51:26<8:50:28, 1.26s/step] Training: 64%|██████▍ | 44789/70000 [15:51:27<8:58:47, 1.28s/step] Training: 64%|██████▍ | 44790/70000 [15:51:29<8:51:07, 1.26s/step] Training: 64%|██████▍ | 44791/70000 [15:51:30<8:41:22, 1.24s/step] Training: 64%|██████▍ | 44792/70000 [15:51:31<8:39:00, 1.24s/step] Training: 64%|██████▍ | 44793/70000 [15:51:32<8:49:59, 1.26s/step] Training: 64%|██████▍ | 44794/70000 [15:51:34<9:03:29, 1.29s/step] Training: 64%|██████▍ | 44795/70000 [15:51:35<9:09:10, 1.31s/step] Training: 64%|██████▍ | 44796/70000 [15:51:36<8:53:29, 1.27s/step] Training: 64%|██████▍ | 44797/70000 [15:51:38<9:01:53, 1.29s/step] Training: 64%|██████▍ | 44798/70000 [15:51:39<8:50:27, 1.26s/step] Training: 64%|██████▍ | 44799/70000 [15:51:40<8:41:24, 1.24s/step] Training: 64%|██████▍ | 44800/70000 [15:51:41<8:52:26, 1.27s/step]INFO 2026-03-13 12:01:34 ot_train.py:435 step:45K smpl:3M ep:10K epch:37.97 loss:0.010 grdn:1.026 lr:7.9e-06 updt_s:1.245 data_s:0.019 Training: 64%|██████▍ | 44801/70000 [15:51:43<8:47:08, 1.26s/step] Training: 64%|██████▍ | 44802/70000 [15:51:44<8:56:56, 1.28s/step] Training: 64%|██████▍ | 44803/70000 [15:51:45<8:47:15, 1.26s/step] Training: 64%|██████▍ | 44804/70000 [15:51:46<8:38:35, 1.23s/step] Training: 64%|██████▍ | 44805/70000 [15:51:48<8:38:15, 1.23s/step] Training: 64%|██████▍ | 44806/70000 [15:51:49<8:51:03, 1.26s/step] Training: 64%|██████▍ | 44807/70000 [15:51:50<8:41:39, 1.24s/step] Training: 64%|██████▍ | 44808/70000 [15:51:51<8:52:47, 1.27s/step] Training: 64%|██████▍ | 44809/70000 [15:51:53<9:01:34, 1.29s/step] Training: 64%|██████▍ | 44810/70000 [15:51:54<9:06:18, 1.30s/step] Training: 64%|██████▍ | 44811/70000 [15:51:55<8:59:49, 1.29s/step] Training: 64%|██████▍ | 44812/70000 [15:51:57<8:47:26, 1.26s/step] Training: 64%|██████▍ | 44813/70000 [15:51:58<8:41:54, 1.24s/step] Training: 64%|██████▍ | 44814/70000 [15:51:59<8:53:12, 1.27s/step] Training: 64%|██████▍ | 44815/70000 [15:52:00<8:42:39, 1.25s/step] Training: 64%|██████▍ | 44816/70000 [15:52:01<8:39:34, 1.24s/step] Training: 64%|██████▍ | 44817/70000 [15:52:03<8:50:14, 1.26s/step] Training: 64%|██████▍ | 44818/70000 [15:52:04<8:59:26, 1.29s/step] Training: 64%|██████▍ | 44819/70000 [15:52:05<8:53:31, 1.27s/step] Training: 64%|██████▍ | 44820/70000 [15:52:07<8:42:03, 1.24s/step] Training: 64%|██████▍ | 44821/70000 [15:52:08<8:52:47, 1.27s/step] Training: 64%|██████▍ | 44822/70000 [15:52:09<8:43:44, 1.25s/step] Training: 64%|██████▍ | 44823/70000 [15:52:10<8:36:57, 1.23s/step] Training: 64%|██████▍ | 44824/70000 [15:52:11<8:34:00, 1.22s/step] Training: 64%|██████▍ | 44825/70000 [15:52:13<8:48:09, 1.26s/step] Training: 64%|██████▍ | 44826/70000 [15:52:14<9:02:22, 1.29s/step] Training: 64%|██████▍ | 44827/70000 [15:52:15<8:49:02, 1.26s/step] Training: 64%|██████▍ | 44828/70000 [15:52:17<8:59:40, 1.29s/step] Training: 64%|██████▍ | 44829/70000 [15:52:18<9:03:13, 1.29s/step] Training: 64%|██████▍ | 44830/70000 [15:52:19<8:54:18, 1.27s/step] Training: 64%|██████▍ | 44831/70000 [15:52:20<8:44:12, 1.25s/step] Training: 64%|██████▍ | 44832/70000 [15:52:22<8:55:37, 1.28s/step] Training: 64%|██████▍ | 44833/70000 [15:52:23<8:47:00, 1.26s/step] Training: 64%|██████▍ | 44834/70000 [15:52:24<8:58:00, 1.28s/step] Training: 64%|██████▍ | 44835/70000 [15:52:26<8:46:13, 1.25s/step] Training: 64%|██████▍ | 44836/70000 [15:52:27<8:50:28, 1.26s/step] Training: 64%|██████▍ | 44837/70000 [15:52:28<8:45:53, 1.25s/step] Training: 64%|██████▍ | 44838/70000 [15:52:29<8:37:31, 1.23s/step] Training: 64%|██████▍ | 44839/70000 [15:52:31<8:48:15, 1.26s/step] Training: 64%|██████▍ | 44840/70000 [15:52:33<11:24:12, 1.63s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 64%|██████▍ | 44841/70000 [15:52:38<17:29:42, 2.50s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=57242 Training: 64%|██████▍ | 44842/70000 [15:52:39<15:10:28, 2.17s/step] Training: 64%|██████▍ | 44843/70000 [15:52:40<13:06:56, 1.88s/step] Training: 64%|██████▍ | 44844/70000 [15:52:42<12:06:46, 1.73s/step] Training: 64%|██████▍ | 44845/70000 [15:52:43<11:06:36, 1.59s/step] Training: 64%|██████▍ | 44846/70000 [15:52:44<10:17:28, 1.47s/step] Training: 64%|██████▍ | 44847/70000 [15:52:45<9:41:30, 1.39s/step] Training: 64%|██████▍ | 44848/70000 [15:52:47<9:40:24, 1.38s/step] Training: 64%|██████▍ | 44849/70000 [15:52:48<9:19:19, 1.33s/step] Training: 64%|██████▍ | 44850/70000 [15:52:49<9:18:33, 1.33s/step] Training: 64%|██████▍ | 44851/70000 [15:52:50<9:00:17, 1.29s/step] Training: 64%|██████▍ | 44852/70000 [15:52:52<9:09:38, 1.31s/step] Training: 64%|██████▍ | 44853/70000 [15:52:53<9:15:11, 1.32s/step] Training: 64%|██████▍ | 44854/70000 [15:52:54<9:02:01, 1.29s/step] Training: 64%|██████▍ | 44855/70000 [15:52:55<8:49:00, 1.26s/step] Training: 64%|██████▍ | 44856/70000 [15:52:57<8:42:45, 1.25s/step] Training: 64%|██████▍ | 44857/70000 [15:52:58<8:40:40, 1.24s/step] Training: 64%|██████▍ | 44858/70000 [15:52:59<8:58:33, 1.29s/step] Training: 64%|██████▍ | 44859/70000 [15:53:00<8:46:38, 1.26s/step] Training: 64%|██████▍ | 44860/70000 [15:53:02<8:37:48, 1.24s/step] Training: 64%|██████▍ | 44861/70000 [15:53:03<9:05:49, 1.30s/step] Training: 64%|██████▍ | 44862/70000 [15:53:04<8:56:00, 1.28s/step] Training: 64%|██████▍ | 44863/70000 [15:53:06<8:44:48, 1.25s/step] Training: 64%|██████▍ | 44864/70000 [15:53:07<8:55:09, 1.28s/step] Training: 64%|██████▍ | 44865/70000 [15:53:08<8:44:14, 1.25s/step] Training: 64%|██████▍ | 44866/70000 [15:53:10<9:11:53, 1.32s/step] Training: 64%|██████▍ | 44867/70000 [15:53:11<8:56:24, 1.28s/step] Training: 64%|██████▍ | 44868/70000 [15:53:12<8:44:34, 1.25s/step] Training: 64%|██████▍ | 44869/70000 [15:53:13<9:04:27, 1.30s/step] Training: 64%|██████▍ | 44870/70000 [15:53:15<9:07:39, 1.31s/step] Training: 64%|██████▍ | 44871/70000 [15:53:16<8:52:43, 1.27s/step] Training: 64%|██████▍ | 44872/70000 [15:53:17<9:00:03, 1.29s/step] Training: 64%|██████▍ | 44873/70000 [15:53:18<8:47:23, 1.26s/step] Training: 64%|██████▍ | 44874/70000 [15:53:20<8:57:13, 1.28s/step] Training: 64%|██████▍ | 44875/70000 [15:53:21<8:45:35, 1.26s/step] Training: 64%|██████▍ | 44876/70000 [15:53:22<8:36:57, 1.23s/step] Training: 64%|██████▍ | 44877/70000 [15:53:23<8:48:05, 1.26s/step] Training: 64%|██████▍ | 44878/70000 [15:53:25<8:56:02, 1.28s/step] Training: 64%|██████▍ | 44879/70000 [15:53:26<8:44:33, 1.25s/step] Training: 64%|██████▍ | 44880/70000 [15:53:27<8:53:41, 1.27s/step] Training: 64%|██████▍ | 44881/70000 [15:53:28<8:47:32, 1.26s/step] Training: 64%|██████▍ | 44882/70000 [15:53:30<8:55:52, 1.28s/step] Training: 64%|██████▍ | 44883/70000 [15:53:31<8:44:07, 1.25s/step] Training: 64%|██████▍ | 44884/70000 [15:53:32<8:35:54, 1.23s/step] Training: 64%|██████▍ | 44885/70000 [15:53:34<8:51:13, 1.27s/step] Training: 64%|██████▍ | 44886/70000 [15:53:35<8:46:24, 1.26s/step] Training: 64%|██████▍ | 44887/70000 [15:53:36<8:38:27, 1.24s/step] Training: 64%|██████▍ | 44888/70000 [15:53:37<8:34:14, 1.23s/step] Training: 64%|██████▍ | 44889/70000 [15:53:38<8:31:32, 1.22s/step] Training: 64%|██████▍ | 44890/70000 [15:53:40<8:50:11, 1.27s/step] Training: 64%|██████▍ | 44891/70000 [15:53:41<8:41:03, 1.25s/step] Training: 64%|██████▍ | 44892/70000 [15:53:42<8:33:55, 1.23s/step] Training: 64%|██████▍ | 44893/70000 [15:53:43<8:45:57, 1.26s/step] Training: 64%|██████▍ | 44894/70000 [15:53:45<8:39:51, 1.24s/step] Training: 64%|██████▍ | 44895/70000 [15:53:46<8:33:57, 1.23s/step] Training: 64%|██████▍ | 44896/70000 [15:53:47<8:46:07, 1.26s/step] Training: 64%|██████▍ | 44897/70000 [15:53:49<8:55:04, 1.28s/step] Training: 64%|██████▍ | 44898/70000 [15:53:50<9:02:37, 1.30s/step] Training: 64%|██████▍ | 44899/70000 [15:53:51<8:49:26, 1.27s/step] Training: 64%|██████▍ | 44900/70000 [15:53:52<8:39:35, 1.24s/step]INFO 2026-03-13 12:03:44 ot_train.py:435 step:45K smpl:3M ep:10K epch:38.06 loss:0.009 grdn:0.974 lr:7.9e-06 updt_s:1.244 data_s:0.062 Training: 64%|██████▍ | 44901/70000 [15:53:54<8:57:37, 1.29s/step] Training: 64%|██████▍ | 44902/70000 [15:53:55<9:14:04, 1.32s/step] Training: 64%|██████▍ | 44903/70000 [15:53:56<8:57:14, 1.28s/step] Training: 64%|██████▍ | 44904/70000 [15:53:58<9:01:23, 1.29s/step] Training: 64%|██████▍ | 44905/70000 [15:53:59<9:06:20, 1.31s/step] Training: 64%|██████▍ | 44906/70000 [15:54:00<9:09:59, 1.32s/step] Training: 64%|██████▍ | 44907/70000 [15:54:01<8:54:19, 1.28s/step] Training: 64%|██████▍ | 44908/70000 [15:54:03<8:42:48, 1.25s/step] Training: 64%|██████▍ | 44909/70000 [15:54:04<8:38:37, 1.24s/step] Training: 64%|██████▍ | 44910/70000 [15:54:05<9:02:15, 1.30s/step] Training: 64%|██████▍ | 44911/70000 [15:54:06<8:48:53, 1.26s/step] Training: 64%|██████▍ | 44912/70000 [15:54:08<8:56:33, 1.28s/step] Training: 64%|██████▍ | 44913/70000 [15:54:09<8:49:19, 1.27s/step] Training: 64%|██████▍ | 44914/70000 [15:54:10<8:57:06, 1.28s/step] Training: 64%|██████▍ | 44915/70000 [15:54:11<8:45:08, 1.26s/step] Training: 64%|██████▍ | 44916/70000 [15:54:13<8:37:15, 1.24s/step] Training: 64%|██████▍ | 44917/70000 [15:54:14<8:48:22, 1.26s/step] Training: 64%|██████▍ | 44918/70000 [15:54:15<9:04:59, 1.30s/step] Training: 64%|██████▍ | 44919/70000 [15:54:17<8:49:19, 1.27s/step] Training: 64%|██████▍ | 44920/70000 [15:54:18<8:41:55, 1.25s/step] Training: 64%|██████▍ | 44921/70000 [15:54:19<8:38:28, 1.24s/step] Training: 64%|██████▍ | 44922/70000 [15:54:20<8:54:13, 1.28s/step] Training: 64%|██████▍ | 44923/70000 [15:54:22<8:43:52, 1.25s/step] Training: 64%|██████▍ | 44924/70000 [15:54:23<8:36:00, 1.23s/step] Training: 64%|██████▍ | 44925/70000 [15:54:24<8:48:26, 1.26s/step] Training: 64%|██████▍ | 44926/70000 [15:54:25<8:42:12, 1.25s/step] Training: 64%|██████▍ | 44927/70000 [15:54:27<8:53:03, 1.28s/step] Training: 64%|██████▍ | 44928/70000 [15:54:28<8:58:51, 1.29s/step] Training: 64%|██████▍ | 44929/70000 [15:54:29<9:04:12, 1.30s/step] Training: 64%|██████▍ | 44930/70000 [15:54:31<9:08:05, 1.31s/step] Training: 64%|██████▍ | 44931/70000 [15:54:32<8:53:45, 1.28s/step] Training: 64%|██████▍ | 44932/70000 [15:54:33<8:42:33, 1.25s/step] Training: 64%|██████▍ | 44933/70000 [15:54:34<8:39:54, 1.24s/step] Training: 64%|██████▍ | 44934/70000 [15:54:36<8:51:20, 1.27s/step] Training: 64%|██████▍ | 44935/70000 [15:54:37<9:01:35, 1.30s/step] Training: 64%|██████▍ | 44936/70000 [15:54:38<9:04:35, 1.30s/step] Training: 64%|██████▍ | 44937/70000 [15:54:40<9:11:41, 1.32s/step] Training: 64%|██████▍ | 44938/70000 [15:54:41<9:15:56, 1.33s/step] Training: 64%|██████▍ | 44939/70000 [15:54:42<8:59:01, 1.29s/step] Training: 64%|██████▍ | 44940/70000 [15:54:43<8:46:42, 1.26s/step] Training: 64%|██████▍ | 44941/70000 [15:54:45<8:42:05, 1.25s/step] Training: 64%|██████▍ | 44942/70000 [15:54:46<8:51:18, 1.27s/step] Training: 64%|██████▍ | 44943/70000 [15:54:47<8:42:00, 1.25s/step] Training: 64%|██████▍ | 44944/70000 [15:54:48<8:51:49, 1.27s/step] Training: 64%|██████▍ | 44945/70000 [15:54:50<8:47:17, 1.26s/step] Training: 64%|██████▍ | 44946/70000 [15:54:51<8:54:47, 1.28s/step] Training: 64%|██████▍ | 44947/70000 [15:54:52<8:43:23, 1.25s/step] Training: 64%|██████▍ | 44948/70000 [15:54:53<8:35:25, 1.23s/step] Training: 64%|██████▍ | 44949/70000 [15:54:55<8:47:17, 1.26s/step] Training: 64%|██████▍ | 44950/70000 [15:54:56<8:44:13, 1.26s/step] Training: 64%|██████▍ | 44951/70000 [15:54:57<8:53:34, 1.28s/step] Training: 64%|██████▍ | 44952/70000 [15:54:58<8:43:15, 1.25s/step] Training: 64%|██████▍ | 44953/70000 [15:55:00<8:41:02, 1.25s/step] Training: 64%|██████▍ | 44954/70000 [15:55:01<8:54:37, 1.28s/step] Training: 64%|██████▍ | 44955/70000 [15:55:02<8:43:40, 1.25s/step] Training: 64%|██████▍ | 44956/70000 [15:55:03<8:35:30, 1.24s/step] Training: 64%|██████▍ | 44957/70000 [15:55:05<8:48:41, 1.27s/step] Training: 64%|██████▍ | 44958/70000 [15:55:06<8:40:10, 1.25s/step] Training: 64%|██████▍ | 44959/70000 [15:55:07<8:54:23, 1.28s/step] Training: 64%|██████▍ | 44960/70000 [15:55:09<8:59:21, 1.29s/step] Training: 64%|██████▍ | 44961/70000 [15:55:10<9:06:47, 1.31s/step] Training: 64%|██████▍ | 44962/70000 [15:55:11<9:09:35, 1.32s/step] Training: 64%|██████▍ | 44963/70000 [15:55:13<8:53:40, 1.28s/step] Training: 64%|██████▍ | 44964/70000 [15:55:14<8:42:02, 1.25s/step] Training: 64%|██████▍ | 44965/70000 [15:55:15<8:40:13, 1.25s/step] Training: 64%|██████▍ | 44966/70000 [15:55:16<8:50:17, 1.27s/step] Training: 64%|██████▍ | 44967/70000 [15:55:18<8:46:31, 1.26s/step] Training: 64%|██████▍ | 44968/70000 [15:55:19<8:53:49, 1.28s/step] Training: 64%|██████▍ | 44969/70000 [15:55:20<9:01:39, 1.30s/step] Training: 64%|██████▍ | 44970/70000 [15:55:22<9:05:28, 1.31s/step] Training: 64%|██████▍ | 44971/70000 [15:55:23<8:51:38, 1.27s/step] Training: 64%|██████▍ | 44972/70000 [15:55:24<8:40:46, 1.25s/step] Training: 64%|██████▍ | 44973/70000 [15:55:25<8:39:42, 1.25s/step] Training: 64%|██████▍ | 44974/70000 [15:55:26<8:50:22, 1.27s/step] Training: 64%|██████▍ | 44975/70000 [15:55:28<8:40:39, 1.25s/step] Training: 64%|██████▍ | 44976/70000 [15:55:29<9:04:05, 1.30s/step] Training: 64%|██████▍ | 44977/70000 [15:55:30<8:54:13, 1.28s/step] Training: 64%|██████▍ | 44978/70000 [15:55:32<8:59:19, 1.29s/step] Training: 64%|██████▍ | 44979/70000 [15:55:33<8:46:08, 1.26s/step] Training: 64%|██████▍ | 44980/70000 [15:55:34<8:36:48, 1.24s/step] Training: 64%|██████▍ | 44981/70000 [15:55:35<8:48:03, 1.27s/step] Training: 64%|██████▍ | 44982/70000 [15:55:37<8:42:45, 1.25s/step] Training: 64%|██████▍ | 44983/70000 [15:55:38<8:35:14, 1.24s/step] Training: 64%|██████▍ | 44984/70000 [15:55:39<8:44:43, 1.26s/step] Training: 64%|██████▍ | 44985/70000 [15:55:40<8:39:45, 1.25s/step] Training: 64%|██████▍ | 44986/70000 [15:55:42<8:51:19, 1.27s/step] Training: 64%|██████▍ | 44987/70000 [15:55:43<8:41:25, 1.25s/step] Training: 64%|██████▍ | 44988/70000 [15:55:44<8:33:40, 1.23s/step] Training: 64%|██████▍ | 44989/70000 [15:55:45<8:46:44, 1.26s/step] Training: 64%|██████▍ | 44990/70000 [15:55:47<8:39:46, 1.25s/step] Training: 64%|██████▍ | 44991/70000 [15:55:48<8:33:00, 1.23s/step] Training: 64%|██████▍ | 44992/70000 [15:55:49<8:49:05, 1.27s/step] Training: 64%|██████▍ | 44993/70000 [15:55:50<8:54:59, 1.28s/step] Training: 64%|██████▍ | 44994/70000 [15:55:52<9:02:38, 1.30s/step] Training: 64%|██████▍ | 44995/70000 [15:55:53<8:48:44, 1.27s/step] Training: 64%|██████▍ | 44996/70000 [15:55:54<8:39:31, 1.25s/step] Training: 64%|██████▍ | 44997/70000 [15:55:55<8:37:15, 1.24s/step] Training: 64%|██████▍ | 44998/70000 [15:55:57<8:48:28, 1.27s/step] Training: 64%|██████▍ | 44999/70000 [15:55:58<8:39:01, 1.25s/step] Training: 64%|██████▍ | 45000/70000 [15:55:59<8:48:56, 1.27s/step]INFO 2026-03-13 12:05:51 ot_train.py:435 step:45K smpl:3M ep:10K epch:38.14 loss:0.010 grdn:0.932 lr:7.8e-06 updt_s:1.249 data_s:0.019 Training: 64%|██████▍ | 45001/70000 [15:56:01<9:12:42, 1.33s/step] Training: 64%|██████▍ | 45002/70000 [15:56:02<9:12:56, 1.33s/step] Training: 64%|██████▍ | 45003/70000 [15:56:03<8:56:17, 1.29s/step] Training: 64%|██████▍ | 45004/70000 [15:56:04<8:44:45, 1.26s/step] Training: 64%|██████▍ | 45005/70000 [15:56:06<8:41:27, 1.25s/step] Training: 64%|██████▍ | 45006/70000 [15:56:07<8:50:34, 1.27s/step] Training: 64%|██████▍ | 45007/70000 [15:56:08<8:40:07, 1.25s/step] Training: 64%|██████▍ | 45008/70000 [15:56:10<8:50:26, 1.27s/step] Training: 64%|██████▍ | 45009/70000 [15:56:11<9:12:46, 1.33s/step] Training: 64%|██████▍ | 45010/70000 [15:56:12<9:12:23, 1.33s/step] Training: 64%|██████▍ | 45011/70000 [15:56:13<8:55:19, 1.29s/step] Training: 64%|██████▍ | 45012/70000 [15:56:15<8:43:20, 1.26s/step] Training: 64%|██████▍ | 45013/70000 [15:56:16<8:53:54, 1.28s/step] Training: 64%|██████▍ | 45014/70000 [15:56:17<8:47:08, 1.27s/step] Training: 64%|██████▍ | 45015/70000 [15:56:18<8:37:13, 1.24s/step] Training: 64%|██████▍ | 45016/70000 [15:56:20<8:33:41, 1.23s/step] Training: 64%|██████▍ | 45017/70000 [15:56:21<8:30:40, 1.23s/step] Training: 64%|██████▍ | 45018/70000 [15:56:22<8:44:11, 1.26s/step] Training: 64%|██████▍ | 45019/70000 [15:56:23<8:35:37, 1.24s/step] Training: 64%|██████▍ | 45020/70000 [15:56:25<8:29:18, 1.22s/step] Training: 64%|██████▍ | 45021/70000 [15:56:26<8:43:39, 1.26s/step] Training: 64%|██████▍ | 45022/70000 [15:56:27<8:37:35, 1.24s/step] Training: 64%|██████▍ | 45023/70000 [15:56:28<8:30:39, 1.23s/step] Training: 64%|██████▍ | 45024/70000 [15:56:30<8:43:04, 1.26s/step] Training: 64%|██████▍ | 45025/70000 [15:56:31<8:59:24, 1.30s/step] Training: 64%|██████▍ | 45026/70000 [15:56:32<9:03:50, 1.31s/step] Training: 64%|██████▍ | 45027/70000 [15:56:34<8:49:53, 1.27s/step] Training: 64%|██████▍ | 45028/70000 [15:56:35<8:40:05, 1.25s/step] Training: 64%|██████▍ | 45029/70000 [15:56:36<8:37:54, 1.24s/step] Training: 64%|██████▍ | 45030/70000 [15:56:37<8:48:07, 1.27s/step] Training: 64%|██████▍ | 45031/70000 [15:56:38<8:38:03, 1.24s/step] Training: 64%|██████▍ | 45032/70000 [15:56:40<8:47:52, 1.27s/step] Training: 64%|██████▍ | 45033/70000 [15:56:41<8:57:17, 1.29s/step] Training: 64%|██████▍ | 45034/70000 [15:56:42<9:03:12, 1.31s/step] Training: 64%|██████▍ | 45035/70000 [15:56:44<8:49:10, 1.27s/step] Training: 64%|██████▍ | 45036/70000 [15:56:45<8:38:44, 1.25s/step] Training: 64%|██████▍ | 45037/70000 [15:56:46<8:36:43, 1.24s/step] Training: 64%|██████▍ | 45038/70000 [15:56:47<8:46:48, 1.27s/step] Training: 64%|██████▍ | 45039/70000 [15:56:49<8:37:02, 1.24s/step] Training: 64%|██████▍ | 45040/70000 [15:56:50<8:47:19, 1.27s/step] Training: 64%|██████▍ | 45041/70000 [15:56:51<8:56:42, 1.29s/step] Training: 64%|██████▍ | 45042/70000 [15:56:53<9:12:28, 1.33s/step] Training: 64%|██████▍ | 45043/70000 [15:56:54<8:55:25, 1.29s/step] Training: 64%|██████▍ | 45044/70000 [15:56:55<8:43:48, 1.26s/step] Training: 64%|██████▍ | 45045/70000 [15:56:56<8:51:42, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=53804 Training: 64%|██████▍ | 45046/70000 [15:56:58<8:45:52, 1.26s/step] Training: 64%|██████▍ | 45047/70000 [15:56:59<8:37:02, 1.24s/step] Training: 64%|██████▍ | 45048/70000 [15:57:00<8:31:37, 1.23s/step] Training: 64%|██████▍ | 45049/70000 [15:57:01<8:30:59, 1.23s/step] Training: 64%|██████▍ | 45050/70000 [15:57:03<8:55:08, 1.29s/step] Training: 64%|██████▍ | 45051/70000 [15:57:04<8:43:17, 1.26s/step] Training: 64%|██████▍ | 45052/70000 [15:57:05<8:35:13, 1.24s/step] Training: 64%|██████▍ | 45053/70000 [15:57:06<8:45:36, 1.26s/step] Training: 64%|██████▍ | 45054/70000 [15:57:08<8:38:31, 1.25s/step] Training: 64%|██████▍ | 45055/70000 [15:57:09<8:31:04, 1.23s/step] Training: 64%|██████▍ | 45056/70000 [15:57:10<8:43:12, 1.26s/step] Training: 64%|██████▍ | 45057/70000 [15:57:11<8:55:06, 1.29s/step] Training: 64%|██████▍ | 45058/70000 [15:57:13<9:01:26, 1.30s/step] Training: 64%|██████▍ | 45059/70000 [15:57:14<9:05:14, 1.31s/step] Training: 64%|██████▍ | 45060/70000 [15:57:15<8:48:51, 1.27s/step] Training: 64%|██████▍ | 45061/70000 [15:57:17<8:43:18, 1.26s/step] Training: 64%|██████▍ | 45062/70000 [15:57:18<8:51:10, 1.28s/step] Training: 64%|██████▍ | 45063/70000 [15:57:19<8:39:45, 1.25s/step] Training: 64%|██████▍ | 45064/70000 [15:57:20<8:49:04, 1.27s/step] Training: 64%|██████▍ | 45065/70000 [15:57:22<8:57:51, 1.29s/step] Training: 64%|██████▍ | 45066/70000 [15:57:23<9:05:59, 1.31s/step] Training: 64%|██████▍ | 45067/70000 [15:57:24<8:50:05, 1.28s/step] Training: 64%|██████▍ | 45068/70000 [15:57:25<8:39:23, 1.25s/step] Training: 64%|██████▍ | 45069/70000 [15:57:27<8:36:29, 1.24s/step] Training: 64%|██████▍ | 45070/70000 [15:57:28<8:46:57, 1.27s/step] Training: 64%|██████▍ | 45071/70000 [15:57:29<8:37:04, 1.24s/step] Training: 64%|██████▍ | 45072/70000 [15:57:31<8:46:21, 1.27s/step] Training: 64%|██████▍ | 45073/70000 [15:57:32<8:54:14, 1.29s/step] Training: 64%|██████▍ | 45074/70000 [15:57:33<8:59:45, 1.30s/step] Training: 64%|██████▍ | 45075/70000 [15:57:35<9:07:01, 1.32s/step] Training: 64%|██████▍ | 45076/70000 [15:57:36<8:50:13, 1.28s/step] Training: 64%|██████▍ | 45077/70000 [15:57:37<8:56:21, 1.29s/step] Training: 64%|██████▍ | 45078/70000 [15:57:38<8:48:21, 1.27s/step] Training: 64%|██████▍ | 45079/70000 [15:57:39<8:37:42, 1.25s/step] Training: 64%|██████▍ | 45080/70000 [15:57:41<8:33:53, 1.24s/step] Training: 64%|██████▍ | 45081/70000 [15:57:42<8:32:22, 1.23s/step] Training: 64%|██████▍ | 45082/70000 [15:57:43<8:44:35, 1.26s/step] Training: 64%|██████▍ | 45083/70000 [15:57:45<8:55:57, 1.29s/step] Training: 64%|██████▍ | 45084/70000 [15:57:46<8:42:14, 1.26s/step] Training: 64%|██████▍ | 45085/70000 [15:57:47<8:50:06, 1.28s/step] Training: 64%|██████▍ | 45086/70000 [15:57:48<8:44:50, 1.26s/step] Training: 64%|██████▍ | 45087/70000 [15:57:50<8:35:45, 1.24s/step] Training: 64%|██████▍ | 45088/70000 [15:57:51<8:48:03, 1.27s/step] Training: 64%|██████▍ | 45089/70000 [15:57:52<8:55:36, 1.29s/step] Training: 64%|██████▍ | 45090/70000 [15:57:54<9:00:42, 1.30s/step] Training: 64%|██████▍ | 45091/70000 [15:57:55<9:04:07, 1.31s/step] Training: 64%|██████▍ | 45092/70000 [15:57:56<8:48:34, 1.27s/step] Training: 64%|██████▍ | 45093/70000 [15:57:57<8:43:07, 1.26s/step] Training: 64%|██████▍ | 45094/70000 [15:57:59<8:51:25, 1.28s/step] Training: 64%|██████▍ | 45095/70000 [15:58:00<8:40:11, 1.25s/step] Training: 64%|██████▍ | 45096/70000 [15:58:01<8:49:26, 1.28s/step] Training: 64%|██████▍ | 45097/70000 [15:58:02<8:57:20, 1.29s/step] Training: 64%|██████▍ | 45098/70000 [15:58:04<9:02:20, 1.31s/step] Training: 64%|██████▍ | 45099/70000 [15:58:05<9:04:45, 1.31s/step] Training: 64%|██████▍ | 45100/70000 [15:58:06<8:48:19, 1.27s/step]INFO 2026-03-13 12:07:58 ot_train.py:435 step:45K smpl:3M ep:10K epch:38.23 loss:0.009 grdn:1.472 lr:7.8e-06 updt_s:1.249 data_s:0.019 Training: 64%|██████▍ | 45101/70000 [15:58:08<8:39:53, 1.25s/step] Training: 64%|██████▍ | 45102/70000 [15:58:09<8:49:15, 1.28s/step] Training: 64%|██████▍ | 45103/70000 [15:58:10<8:38:30, 1.25s/step] Training: 64%|██████▍ | 45104/70000 [15:58:11<8:31:20, 1.23s/step] Training: 64%|██████▍ | 45105/70000 [15:58:13<8:41:50, 1.26s/step] Training: 64%|██████▍ | 45106/70000 [15:58:14<8:50:48, 1.28s/step] Training: 64%|██████▍ | 45107/70000 [15:58:15<8:48:26, 1.27s/step] Training: 64%|██████▍ | 45108/70000 [15:58:16<8:37:07, 1.25s/step] Training: 64%|██████▍ | 45109/70000 [15:58:18<8:48:04, 1.27s/step] Training: 64%|██████▍ | 45110/70000 [15:58:19<8:41:02, 1.26s/step] Training: 64%|██████▍ | 45111/70000 [15:58:20<8:33:01, 1.24s/step] Training: 64%|██████▍ | 45112/70000 [15:58:21<8:27:00, 1.22s/step] Training: 64%|██████▍ | 45113/70000 [15:58:23<8:39:34, 1.25s/step] Training: 64%|██████▍ | 45114/70000 [15:58:24<8:49:38, 1.28s/step] Training: 64%|██████▍ | 45115/70000 [15:58:25<8:38:56, 1.25s/step] Training: 64%|██████▍ | 45116/70000 [15:58:26<8:50:38, 1.28s/step] Training: 64%|██████▍ | 45117/70000 [15:58:28<8:55:53, 1.29s/step] Training: 64%|██████▍ | 45118/70000 [15:58:29<8:45:32, 1.27s/step] Training: 64%|██████▍ | 45119/70000 [15:58:30<8:36:12, 1.24s/step] Training: 64%|██████▍ | 45120/70000 [15:58:31<8:46:28, 1.27s/step] Training: 64%|██████▍ | 45121/70000 [15:58:33<8:53:24, 1.29s/step] Training: 64%|██████▍ | 45122/70000 [15:58:34<9:05:20, 1.32s/step] Training: 64%|██████▍ | 45123/70000 [15:58:35<8:49:46, 1.28s/step] Training: 64%|██████▍ | 45124/70000 [15:58:37<8:48:16, 1.27s/step] Training: 64%|██████▍ | 45125/70000 [15:58:38<8:42:39, 1.26s/step] Training: 64%|██████▍ | 45126/70000 [15:58:39<8:54:39, 1.29s/step] Training: 64%|██████▍ | 45127/70000 [15:58:40<8:41:58, 1.26s/step] Training: 64%|██████▍ | 45128/70000 [15:58:42<8:51:02, 1.28s/step] Training: 64%|██████▍ | 45129/70000 [15:58:43<8:58:01, 1.30s/step] Training: 64%|██████▍ | 45130/70000 [15:58:44<9:01:58, 1.31s/step] Training: 64%|██████▍ | 45131/70000 [15:58:46<8:47:22, 1.27s/step] Training: 64%|██████▍ | 45132/70000 [15:58:47<8:37:06, 1.25s/step] Training: 64%|██████▍ | 45133/70000 [15:58:48<8:49:08, 1.28s/step] Training: 64%|██████▍ | 45134/70000 [15:58:49<8:54:01, 1.29s/step] Training: 64%|██████▍ | 45135/70000 [15:58:51<8:41:28, 1.26s/step] Training: 64%|██████▍ | 45136/70000 [15:58:52<8:37:18, 1.25s/step] Training: 64%|██████▍ | 45137/70000 [15:58:53<8:36:23, 1.25s/step] Training: 64%|██████▍ | 45138/70000 [15:58:54<8:46:42, 1.27s/step] Training: 64%|██████▍ | 45139/70000 [15:58:56<8:36:34, 1.25s/step] Training: 64%|██████▍ | 45140/70000 [15:58:57<8:49:49, 1.28s/step] Training: 64%|██████▍ | 45141/70000 [15:58:58<8:53:42, 1.29s/step] Training: 64%|██████▍ | 45142/70000 [15:59:00<8:45:16, 1.27s/step] Training: 64%|██████▍ | 45143/70000 [15:59:01<8:35:50, 1.25s/step] Training: 64%|██████▍ | 45144/70000 [15:59:02<8:34:07, 1.24s/step] Training: 64%|██████▍ | 45145/70000 [15:59:03<8:30:44, 1.23s/step] Training: 64%|██████▍ | 45146/70000 [15:59:04<8:44:02, 1.27s/step] Training: 64%|██████▍ | 45147/70000 [15:59:06<8:35:11, 1.24s/step] Training: 64%|██████▍ | 45148/70000 [15:59:07<8:28:54, 1.23s/step] Training: 64%|██████▍ | 45149/70000 [15:59:08<8:55:40, 1.29s/step] Training: 64%|██████▍ | 45150/70000 [15:59:10<8:44:03, 1.27s/step] Training: 65%|██████▍ | 45151/70000 [15:59:11<8:34:50, 1.24s/step] Training: 65%|██████▍ | 45152/70000 [15:59:12<8:28:06, 1.23s/step] Training: 65%|██████▍ | 45153/70000 [15:59:13<8:57:03, 1.30s/step] Training: 65%|██████▍ | 45154/70000 [15:59:15<9:06:25, 1.32s/step] Training: 65%|██████▍ | 45155/70000 [15:59:16<8:50:45, 1.28s/step] Training: 65%|██████▍ | 45156/70000 [15:59:17<8:39:24, 1.25s/step] Training: 65%|██████▍ | 45157/70000 [15:59:18<8:51:35, 1.28s/step] Training: 65%|██████▍ | 45158/70000 [15:59:20<8:55:19, 1.29s/step] Training: 65%|██████▍ | 45159/70000 [15:59:21<8:42:49, 1.26s/step] Training: 65%|██████▍ | 45160/70000 [15:59:22<8:50:22, 1.28s/step] Training: 65%|██████▍ | 45161/70000 [15:59:24<8:56:38, 1.30s/step] Training: 65%|██████▍ | 45162/70000 [15:59:25<9:00:59, 1.31s/step] Training: 65%|██████▍ | 45163/70000 [15:59:26<8:46:43, 1.27s/step] Training: 65%|██████▍ | 45164/70000 [15:59:27<8:36:27, 1.25s/step] Training: 65%|██████▍ | 45165/70000 [15:59:29<8:32:47, 1.24s/step] Training: 65%|██████▍ | 45166/70000 [15:59:30<8:43:17, 1.26s/step] Training: 65%|██████▍ | 45167/70000 [15:59:31<8:34:07, 1.24s/step] Training: 65%|██████▍ | 45168/70000 [15:59:32<8:28:48, 1.23s/step] Training: 65%|██████▍ | 45169/70000 [15:59:34<8:28:11, 1.23s/step] Training: 65%|██████▍ | 45170/70000 [15:59:35<8:40:50, 1.26s/step] Training: 65%|██████▍ | 45171/70000 [15:59:36<8:32:17, 1.24s/step] Training: 65%|██████▍ | 45172/70000 [15:59:37<8:26:25, 1.22s/step] Training: 65%|██████▍ | 45173/70000 [15:59:39<8:46:15, 1.27s/step] Training: 65%|██████▍ | 45174/70000 [15:59:40<8:38:26, 1.25s/step] Training: 65%|██████▍ | 45175/70000 [15:59:41<8:30:33, 1.23s/step] Training: 65%|██████▍ | 45176/70000 [15:59:42<8:29:20, 1.23s/step] Training: 65%|██████▍ | 45177/70000 [15:59:43<8:26:26, 1.22s/step] Training: 65%|██████▍ | 45178/70000 [15:59:45<8:40:08, 1.26s/step] Training: 65%|██████▍ | 45179/70000 [15:59:46<8:31:55, 1.24s/step] Training: 65%|██████▍ | 45180/70000 [15:59:47<8:25:55, 1.22s/step] Training: 65%|██████▍ | 45181/70000 [15:59:48<8:38:14, 1.25s/step] Training: 65%|██████▍ | 45182/70000 [15:59:50<8:34:31, 1.24s/step] Training: 65%|██████▍ | 45183/70000 [15:59:51<8:28:01, 1.23s/step] Training: 65%|██████▍ | 45184/70000 [15:59:52<8:23:15, 1.22s/step] Training: 65%|██████▍ | 45185/70000 [15:59:54<8:52:35, 1.29s/step] Training: 65%|██████▍ | 45186/70000 [15:59:55<9:03:41, 1.31s/step] Training: 65%|██████▍ | 45187/70000 [15:59:56<8:49:15, 1.28s/step] Training: 65%|██████▍ | 45188/70000 [15:59:57<8:38:50, 1.25s/step] Training: 65%|██████▍ | 45189/70000 [15:59:59<8:34:48, 1.24s/step] Training: 65%|██████▍ | 45190/70000 [16:00:00<8:46:54, 1.27s/step] Training: 65%|██████▍ | 45191/70000 [16:00:01<8:43:26, 1.27s/step] Training: 65%|██████▍ | 45192/70000 [16:00:02<8:50:25, 1.28s/step] Training: 65%|██████▍ | 45193/70000 [16:00:04<8:56:32, 1.30s/step] Training: 65%|██████▍ | 45194/70000 [16:00:05<9:01:09, 1.31s/step] Training: 65%|██████▍ | 45195/70000 [16:00:06<8:46:27, 1.27s/step] Training: 65%|██████▍ | 45196/70000 [16:00:07<8:35:51, 1.25s/step] Training: 65%|██████▍ | 45197/70000 [16:00:09<8:33:28, 1.24s/step] Training: 65%|██████▍ | 45198/70000 [16:00:10<8:37:40, 1.25s/step] Training: 65%|██████▍ | 45199/70000 [16:00:11<8:32:53, 1.24s/step] Training: 65%|██████▍ | 45200/70000 [16:00:12<8:30:52, 1.24s/step]INFO 2026-03-13 12:10:05 ot_train.py:435 step:45K smpl:3M ep:10K epch:38.31 loss:0.009 grdn:0.948 lr:7.7e-06 updt_s:1.240 data_s:0.019 Training: 65%|██████▍ | 45201/70000 [16:00:14<8:31:23, 1.24s/step] Training: 65%|██████▍ | 45202/70000 [16:00:15<8:42:31, 1.26s/step] Training: 65%|██████▍ | 45203/70000 [16:00:16<8:33:55, 1.24s/step] Training: 65%|██████▍ | 45204/70000 [16:00:17<8:26:41, 1.23s/step] Training: 65%|██████▍ | 45205/70000 [16:00:19<8:39:19, 1.26s/step] Training: 65%|██████▍ | 45206/70000 [16:00:20<8:56:16, 1.30s/step] Training: 65%|██████▍ | 45207/70000 [16:00:21<8:41:31, 1.26s/step] Training: 65%|██████▍ | 45208/70000 [16:00:22<8:36:53, 1.25s/step] Training: 65%|██████▍ | 45209/70000 [16:00:24<8:31:59, 1.24s/step] Training: 65%|██████▍ | 45210/70000 [16:00:25<8:43:18, 1.27s/step] Training: 65%|██████▍ | 45211/70000 [16:00:26<8:34:26, 1.25s/step] Training: 65%|██████▍ | 45212/70000 [16:00:27<8:27:32, 1.23s/step] Training: 65%|██████▍ | 45213/70000 [16:00:29<8:40:17, 1.26s/step] Training: 65%|██████▍ | 45214/70000 [16:00:30<8:53:33, 1.29s/step] Training: 65%|██████▍ | 45215/70000 [16:00:31<8:39:44, 1.26s/step] Training: 65%|██████▍ | 45216/70000 [16:00:32<8:31:16, 1.24s/step] Training: 65%|██████▍ | 45217/70000 [16:00:34<8:58:31, 1.30s/step] Training: 65%|██████▍ | 45218/70000 [16:00:35<9:01:23, 1.31s/step] Training: 65%|██████▍ | 45219/70000 [16:00:36<8:46:31, 1.27s/step] Training: 65%|██████▍ | 45220/70000 [16:00:38<8:36:10, 1.25s/step] Training: 65%|██████▍ | 45221/70000 [16:00:39<8:34:22, 1.25s/step] Training: 65%|██████▍ | 45222/70000 [16:00:40<8:44:27, 1.27s/step] Training: 65%|██████▍ | 45223/70000 [16:00:42<8:53:13, 1.29s/step] Training: 65%|██████▍ | 45224/70000 [16:00:43<8:56:22, 1.30s/step] Training: 65%|██████▍ | 45225/70000 [16:00:44<9:00:01, 1.31s/step] Training: 65%|██████▍ | 45226/70000 [16:00:46<9:03:09, 1.32s/step] Training: 65%|██████▍ | 45227/70000 [16:00:47<8:48:21, 1.28s/step] Training: 65%|██████▍ | 45228/70000 [16:00:48<8:37:02, 1.25s/step] Training: 65%|██████▍ | 45229/70000 [16:00:49<8:35:30, 1.25s/step] Training: 65%|██████▍ | 45230/70000 [16:00:50<8:45:10, 1.27s/step] Training: 65%|██████▍ | 45231/70000 [16:00:52<8:54:57, 1.30s/step] Training: 65%|██████▍ | 45232/70000 [16:00:53<8:42:26, 1.27s/step] Training: 65%|██████▍ | 45233/70000 [16:00:54<8:38:43, 1.26s/step] Training: 65%|██████▍ | 45234/70000 [16:00:56<8:47:41, 1.28s/step] Training: 65%|██████▍ | 45235/70000 [16:00:57<8:36:22, 1.25s/step] Training: 65%|██████▍ | 45236/70000 [16:00:58<8:28:35, 1.23s/step] Training: 65%|██████▍ | 45237/70000 [16:00:59<8:40:25, 1.26s/step] Training: 65%|██████▍ | 45238/70000 [16:01:01<8:36:10, 1.25s/step] Training: 65%|██████▍ | 45239/70000 [16:01:02<8:31:59, 1.24s/step] Training: 65%|██████▍ | 45240/70000 [16:01:03<8:30:53, 1.24s/step] Training: 65%|██████▍ | 45241/70000 [16:01:04<8:27:08, 1.23s/step] Training: 65%|██████▍ | 45242/70000 [16:01:06<8:40:32, 1.26s/step] Training: 65%|██████▍ | 45243/70000 [16:01:07<8:31:21, 1.24s/step] Training: 65%|██████▍ | 45244/70000 [16:01:08<8:24:57, 1.22s/step] Training: 65%|██████▍ | 45245/70000 [16:01:09<8:37:59, 1.26s/step] Training: 65%|██████▍ | 45246/70000 [16:01:10<8:31:04, 1.24s/step] Training: 65%|██████▍ | 45247/70000 [16:01:12<8:32:54, 1.24s/step] Training: 65%|██████▍ | 45248/70000 [16:01:13<8:25:41, 1.23s/step] Training: 65%|██████▍ | 45249/70000 [16:01:14<8:53:29, 1.29s/step] Training: 65%|██████▍ | 45250/70000 [16:01:16<8:58:25, 1.31s/step] Training: 65%|██████▍ | 45251/70000 [16:01:17<8:45:13, 1.27s/step] Training: 65%|██████▍ | 45252/70000 [16:01:18<8:34:29, 1.25s/step] Training: 65%|██████▍ | 45253/70000 [16:01:19<8:32:49, 1.24s/step] Training: 65%|██████▍ | 45254/70000 [16:01:20<8:26:45, 1.23s/step] Training: 65%|██████▍ | 45255/70000 [16:01:22<8:36:57, 1.25s/step] Training: 65%|██████▍ | 45256/70000 [16:01:23<8:48:10, 1.28s/step] Training: 65%|██████▍ | 45257/70000 [16:01:24<8:53:27, 1.29s/step] Training: 65%|██████▍ | 45258/70000 [16:01:26<8:58:06, 1.30s/step] Training: 65%|██████▍ | 45259/70000 [16:01:27<8:44:15, 1.27s/step] Training: 65%|██████▍ | 45260/70000 [16:01:28<8:34:24, 1.25s/step] Training: 65%|██████▍ | 45261/70000 [16:01:29<8:30:57, 1.24s/step] Training: 65%|██████▍ | 45262/70000 [16:01:31<8:41:17, 1.26s/step] Training: 65%|██████▍ | 45263/70000 [16:01:32<8:32:02, 1.24s/step] Training: 65%|██████▍ | 45264/70000 [16:01:33<8:34:11, 1.25s/step] Training: 65%|██████▍ | 45265/70000 [16:01:34<8:32:20, 1.24s/step] Training: 65%|██████▍ | 45266/70000 [16:01:36<8:42:10, 1.27s/step] Training: 65%|██████▍ | 45267/70000 [16:01:37<8:32:37, 1.24s/step] Training: 65%|██████▍ | 45268/70000 [16:01:38<8:25:46, 1.23s/step] Training: 65%|██████▍ | 45269/70000 [16:01:39<8:38:31, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=53804 Training: 65%|██████▍ | 45270/70000 [16:01:41<8:31:22, 1.24s/step] Training: 65%|██████▍ | 45271/70000 [16:01:42<8:25:12, 1.23s/step] Training: 65%|██████▍ | 45272/70000 [16:01:43<8:25:15, 1.23s/step] Training: 65%|██████▍ | 45273/70000 [16:01:44<8:41:43, 1.27s/step] Training: 65%|██████▍ | 45274/70000 [16:01:46<8:49:50, 1.29s/step] Training: 65%|██████▍ | 45275/70000 [16:01:47<8:38:01, 1.26s/step] Training: 65%|██████▍ | 45276/70000 [16:01:48<8:29:37, 1.24s/step] Training: 65%|██████▍ | 45277/70000 [16:01:49<8:42:00, 1.27s/step] Training: 65%|██████▍ | 45278/70000 [16:01:51<8:37:44, 1.26s/step] Training: 65%|██████▍ | 45279/70000 [16:01:52<8:29:10, 1.24s/step] Training: 65%|██████▍ | 45280/70000 [16:01:53<8:43:46, 1.27s/step] Training: 65%|██████▍ | 45281/70000 [16:01:54<8:31:59, 1.24s/step] Training: 65%|██████▍ | 45282/70000 [16:01:56<8:59:36, 1.31s/step] Training: 65%|██████▍ | 45283/70000 [16:01:57<8:44:55, 1.27s/step] Training: 65%|██████▍ | 45284/70000 [16:01:58<8:34:13, 1.25s/step] Training: 65%|██████▍ | 45285/70000 [16:01:59<8:31:54, 1.24s/step] Training: 65%|██████▍ | 45286/70000 [16:02:01<8:25:14, 1.23s/step] Training: 65%|██████▍ | 45287/70000 [16:02:02<8:35:45, 1.25s/step] Training: 65%|██████▍ | 45288/70000 [16:02:03<8:29:29, 1.24s/step] Training: 65%|██████▍ | 45289/70000 [16:02:05<8:42:20, 1.27s/step] Training: 65%|██████▍ | 45290/70000 [16:02:06<8:57:24, 1.30s/step] Training: 65%|██████▍ | 45291/70000 [16:02:07<8:43:43, 1.27s/step] Training: 65%|██████▍ | 45292/70000 [16:02:08<8:34:12, 1.25s/step] Training: 65%|██████▍ | 45293/70000 [16:02:10<8:31:34, 1.24s/step] Training: 65%|██████▍ | 45294/70000 [16:02:11<8:42:03, 1.27s/step] Training: 65%|██████▍ | 45295/70000 [16:02:12<8:32:13, 1.24s/step] Training: 65%|██████▍ | 45296/70000 [16:02:13<8:30:12, 1.24s/step] Training: 65%|██████▍ | 45297/70000 [16:02:15<8:45:44, 1.28s/step] Training: 65%|██████▍ | 45298/70000 [16:02:16<8:50:24, 1.29s/step] Training: 65%|██████▍ | 45299/70000 [16:02:17<8:38:01, 1.26s/step] Training: 65%|██████▍ | 45300/70000 [16:02:18<8:29:53, 1.24s/step]INFO 2026-03-13 12:12:10 ot_train.py:435 step:45K smpl:3M ep:10K epch:38.40 loss:0.010 grdn:0.951 lr:7.7e-06 updt_s:1.238 data_s:0.019 Training: 65%|██████▍ | 45301/70000 [16:02:20<8:41:38, 1.27s/step] Training: 65%|██████▍ | 45302/70000 [16:02:21<8:48:31, 1.28s/step] Training: 65%|██████▍ | 45303/70000 [16:02:22<8:36:35, 1.26s/step] Training: 65%|██████▍ | 45304/70000 [16:02:23<8:30:24, 1.24s/step] Training: 65%|██████▍ | 45305/70000 [16:02:25<8:24:37, 1.23s/step] Training: 65%|██████▍ | 45306/70000 [16:02:26<8:38:12, 1.26s/step] Training: 65%|██████▍ | 45307/70000 [16:02:27<8:30:40, 1.24s/step] Training: 65%|██████▍ | 45308/70000 [16:02:28<8:24:19, 1.23s/step] Training: 65%|██████▍ | 45309/70000 [16:02:30<8:36:59, 1.26s/step] Training: 65%|██████▍ | 45310/70000 [16:02:31<8:32:49, 1.25s/step] Training: 65%|██████▍ | 45311/70000 [16:02:32<8:25:53, 1.23s/step] Training: 65%|██████▍ | 45312/70000 [16:02:33<8:37:32, 1.26s/step] Training: 65%|██████▍ | 45313/70000 [16:02:35<8:38:14, 1.26s/step] Training: 65%|██████▍ | 45314/70000 [16:02:36<8:47:20, 1.28s/step] Training: 65%|██████▍ | 45315/70000 [16:02:37<8:36:56, 1.26s/step] Training: 65%|██████▍ | 45316/70000 [16:02:38<8:28:54, 1.24s/step] Training: 65%|██████▍ | 45317/70000 [16:02:40<8:29:21, 1.24s/step] Training: 65%|██████▍ | 45318/70000 [16:02:41<8:23:25, 1.22s/step] Training: 65%|██████▍ | 45319/70000 [16:02:42<8:33:38, 1.25s/step] Training: 65%|██████▍ | 45320/70000 [16:02:43<8:44:18, 1.27s/step] Training: 65%|██████▍ | 45321/70000 [16:02:45<8:41:28, 1.27s/step] Training: 65%|██████▍ | 45322/70000 [16:02:46<8:49:04, 1.29s/step] Training: 65%|██████▍ | 45323/70000 [16:02:47<8:37:28, 1.26s/step] Training: 65%|██████▍ | 45324/70000 [16:02:48<8:28:47, 1.24s/step] Training: 65%|██████▍ | 45325/70000 [16:02:50<8:39:30, 1.26s/step] Training: 65%|██████▍ | 45326/70000 [16:02:51<8:30:38, 1.24s/step] Training: 65%|██████▍ | 45327/70000 [16:02:52<8:24:37, 1.23s/step] Training: 65%|██████▍ | 45328/70000 [16:02:53<8:23:27, 1.22s/step] Training: 65%|██████▍ | 45329/70000 [16:02:55<8:19:57, 1.22s/step] Training: 65%|██████▍ | 45330/70000 [16:02:56<8:46:51, 1.28s/step] Training: 65%|██████▍ | 45331/70000 [16:02:57<8:35:06, 1.25s/step] Training: 65%|██████▍ | 45332/70000 [16:02:58<8:27:29, 1.23s/step] Training: 65%|██████▍ | 45333/70000 [16:03:00<8:39:50, 1.26s/step] Training: 65%|██████▍ | 45334/70000 [16:03:01<8:34:23, 1.25s/step] Training: 65%|██████▍ | 45335/70000 [16:03:02<8:27:22, 1.23s/step] Training: 65%|██████▍ | 45336/70000 [16:03:03<8:26:22, 1.23s/step] Training: 65%|██████▍ | 45337/70000 [16:03:04<8:21:02, 1.22s/step] Training: 65%|██████▍ | 45338/70000 [16:03:06<8:46:23, 1.28s/step] Training: 65%|██████▍ | 45339/70000 [16:03:07<8:35:31, 1.25s/step] Training: 65%|██████▍ | 45340/70000 [16:03:08<8:27:25, 1.23s/step] Training: 65%|██████▍ | 45341/70000 [16:03:10<8:39:35, 1.26s/step] Training: 65%|██████▍ | 45342/70000 [16:03:11<8:32:08, 1.25s/step] Training: 65%|██████▍ | 45343/70000 [16:03:12<8:25:53, 1.23s/step] Training: 65%|██████▍ | 45344/70000 [16:03:13<8:20:47, 1.22s/step] Training: 65%|██████▍ | 45345/70000 [16:03:15<8:33:20, 1.25s/step] Training: 65%|██████▍ | 45346/70000 [16:03:16<8:45:28, 1.28s/step] Training: 65%|██████▍ | 45347/70000 [16:03:17<8:34:38, 1.25s/step] Training: 65%|██████▍ | 45348/70000 [16:03:18<8:26:39, 1.23s/step] Training: 65%|██████▍ | 45349/70000 [16:03:20<8:42:48, 1.27s/step] Training: 65%|██████▍ | 45350/70000 [16:03:21<8:48:57, 1.29s/step] Training: 65%|██████▍ | 45351/70000 [16:03:22<8:36:51, 1.26s/step] Training: 65%|██████▍ | 45352/70000 [16:03:23<8:44:40, 1.28s/step] Training: 65%|██████▍ | 45353/70000 [16:03:25<8:33:49, 1.25s/step] Training: 65%|██████▍ | 45354/70000 [16:03:26<8:52:44, 1.30s/step] Training: 65%|██████▍ | 45355/70000 [16:03:27<8:38:30, 1.26s/step] Training: 65%|██████▍ | 45356/70000 [16:03:28<8:29:17, 1.24s/step] Training: 65%|██████▍ | 45357/70000 [16:03:30<8:39:46, 1.27s/step] Training: 65%|██████▍ | 45358/70000 [16:03:31<8:47:33, 1.28s/step] Training: 65%|██████▍ | 45359/70000 [16:03:32<8:35:58, 1.26s/step] Training: 65%|██████▍ | 45360/70000 [16:03:33<8:29:47, 1.24s/step] Training: 65%|██████▍ | 45361/70000 [16:03:35<8:23:31, 1.23s/step] Training: 65%|██████▍ | 45362/70000 [16:03:36<8:35:38, 1.26s/step] Training: 65%|██████▍ | 45363/70000 [16:03:37<8:45:27, 1.28s/step] Training: 65%|██████▍ | 45364/70000 [16:03:39<8:33:42, 1.25s/step] Training: 65%|██████▍ | 45365/70000 [16:03:40<8:43:09, 1.27s/step] Training: 65%|██████▍ | 45366/70000 [16:03:41<8:37:39, 1.26s/step] Training: 65%|██████▍ | 45367/70000 [16:03:42<8:29:04, 1.24s/step] Training: 65%|██████▍ | 45368/70000 [16:03:43<8:28:06, 1.24s/step] Training: 65%|██████▍ | 45369/70000 [16:03:45<8:22:01, 1.22s/step] Training: 65%|██████▍ | 45370/70000 [16:03:46<8:36:37, 1.26s/step] Training: 65%|██████▍ | 45371/70000 [16:03:47<8:48:00, 1.29s/step] Training: 65%|██████▍ | 45372/70000 [16:03:49<8:34:51, 1.25s/step] Training: 65%|██████▍ | 45373/70000 [16:03:50<8:44:18, 1.28s/step] Training: 65%|██████▍ | 45374/70000 [16:03:51<8:37:59, 1.26s/step] Training: 65%|██████▍ | 45375/70000 [16:03:52<8:31:17, 1.25s/step] Training: 65%|██████▍ | 45376/70000 [16:03:54<8:24:33, 1.23s/step] Training: 65%|██████▍ | 45377/70000 [16:03:55<8:34:29, 1.25s/step] Training: 65%|██████▍ | 45378/70000 [16:03:56<8:48:24, 1.29s/step] Training: 65%|██████▍ | 45379/70000 [16:03:58<8:54:22, 1.30s/step] Training: 65%|██████▍ | 45380/70000 [16:03:59<8:39:32, 1.27s/step] Training: 65%|██████▍ | 45381/70000 [16:04:00<8:51:42, 1.30s/step] Training: 65%|██████▍ | 45382/70000 [16:04:01<8:55:51, 1.31s/step] Training: 65%|██████▍ | 45383/70000 [16:04:03<8:41:20, 1.27s/step] Training: 65%|██████▍ | 45384/70000 [16:04:04<8:47:50, 1.29s/step] Training: 65%|██████▍ | 45385/70000 [16:04:05<8:35:41, 1.26s/step] Training: 65%|██████▍ | 45386/70000 [16:04:06<8:51:25, 1.30s/step] Training: 65%|██████▍ | 45387/70000 [16:04:08<8:57:50, 1.31s/step] Training: 65%|██████▍ | 45388/70000 [16:04:09<8:41:15, 1.27s/step] Training: 65%|██████▍ | 45389/70000 [16:04:10<8:48:47, 1.29s/step] Training: 65%|██████▍ | 45390/70000 [16:04:12<8:54:33, 1.30s/step] Training: 65%|██████▍ | 45391/70000 [16:04:13<8:40:09, 1.27s/step] Training: 65%|██████▍ | 45392/70000 [16:04:14<8:31:41, 1.25s/step] Training: 65%|██████▍ | 45393/70000 [16:04:15<8:24:30, 1.23s/step] Training: 65%|██████▍ | 45394/70000 [16:04:17<8:35:44, 1.26s/step] Training: 65%|██████▍ | 45395/70000 [16:04:18<8:33:53, 1.25s/step] Training: 65%|██████▍ | 45396/70000 [16:04:19<8:26:09, 1.23s/step] Training: 65%|██████▍ | 45397/70000 [16:04:20<8:37:09, 1.26s/step] Training: 65%|██████▍ | 45398/70000 [16:04:22<8:33:08, 1.25s/step] Training: 65%|██████▍ | 45399/70000 [16:04:23<8:25:09, 1.23s/step] Training: 65%|██████▍ | 45400/70000 [16:04:24<8:24:35, 1.23s/step]INFO 2026-03-13 12:14:16 ot_train.py:435 step:45K smpl:3M ep:10K epch:38.48 loss:0.009 grdn:1.007 lr:7.6e-06 updt_s:1.235 data_s:0.019 Training: 65%|██████▍ | 45401/70000 [16:04:25<8:19:14, 1.22s/step] Training: 65%|██████▍ | 45402/70000 [16:04:26<8:33:09, 1.25s/step] Training: 65%|██████▍ | 45403/70000 [16:04:28<8:26:21, 1.24s/step] Training: 65%|██████▍ | 45404/70000 [16:04:29<8:39:58, 1.27s/step] Training: 65%|██████▍ | 45405/70000 [16:04:30<8:46:27, 1.28s/step] Training: 65%|██████▍ | 45406/70000 [16:04:32<8:37:38, 1.26s/step] Training: 65%|██████▍ | 45407/70000 [16:04:33<8:29:23, 1.24s/step] Training: 65%|██████▍ | 45408/70000 [16:04:34<8:39:43, 1.27s/step] Training: 65%|██████▍ | 45409/70000 [16:04:35<8:29:57, 1.24s/step] Training: 65%|██████▍ | 45410/70000 [16:04:37<8:46:45, 1.29s/step] Training: 65%|██████▍ | 45411/70000 [16:04:38<8:34:45, 1.26s/step] Training: 65%|██████▍ | 45412/70000 [16:04:39<8:42:27, 1.27s/step] Training: 65%|██████▍ | 45413/70000 [16:04:41<8:53:20, 1.30s/step] Training: 65%|██████▍ | 45414/70000 [16:04:42<8:56:25, 1.31s/step] Training: 65%|██████▍ | 45415/70000 [16:04:43<8:41:38, 1.27s/step] Training: 65%|██████▍ | 45416/70000 [16:04:44<8:47:27, 1.29s/step] Training: 65%|██████▍ | 45417/70000 [16:04:46<8:35:43, 1.26s/step] Training: 65%|██████▍ | 45418/70000 [16:04:47<8:49:15, 1.29s/step] Training: 65%|██████▍ | 45419/70000 [16:04:48<8:37:01, 1.26s/step] Training: 65%|██████▍ | 45420/70000 [16:04:49<8:49:36, 1.29s/step] Training: 65%|██████▍ | 45421/70000 [16:04:51<8:53:27, 1.30s/step] Training: 65%|██████▍ | 45422/70000 [16:04:52<8:56:30, 1.31s/step] Training: 65%|██████▍ | 45423/70000 [16:04:53<8:42:07, 1.27s/step] Training: 65%|██████▍ | 45424/70000 [16:04:55<8:36:17, 1.26s/step] Training: 65%|██████▍ | 45425/70000 [16:04:56<8:27:41, 1.24s/step] Training: 65%|██████▍ | 45426/70000 [16:04:57<8:38:50, 1.27s/step] Training: 65%|██████▍ | 45427/70000 [16:04:58<8:29:28, 1.24s/step] Training: 65%|██████▍ | 45428/70000 [16:04:59<8:22:27, 1.23s/step] Training: 65%|██████▍ | 45429/70000 [16:05:01<8:46:31, 1.29s/step] Training: 65%|██████▍ | 45430/70000 [16:05:02<8:38:56, 1.27s/step] Training: 65%|██████▍ | 45431/70000 [16:05:03<8:30:15, 1.25s/step] Training: 65%|██████▍ | 45432/70000 [16:05:05<8:26:15, 1.24s/step] Training: 65%|██████▍ | 45433/70000 [16:05:06<8:20:36, 1.22s/step] Training: 65%|██████▍ | 45434/70000 [16:05:07<8:33:12, 1.25s/step] Training: 65%|██████▍ | 45435/70000 [16:05:08<8:25:41, 1.24s/step] Training: 65%|██████▍ | 45436/70000 [16:05:09<8:20:15, 1.22s/step] Training: 65%|██████▍ | 45437/70000 [16:05:11<8:47:47, 1.29s/step] Training: 65%|██████▍ | 45438/70000 [16:05:12<8:39:27, 1.27s/step] Training: 65%|██████▍ | 45439/70000 [16:05:13<8:30:14, 1.25s/step] Training: 65%|██████▍ | 45440/70000 [16:05:15<8:39:46, 1.27s/step] Training: 65%|██████▍ | 45441/70000 [16:05:16<8:30:00, 1.25s/step] Training: 65%|██████▍ | 45442/70000 [16:05:17<8:46:53, 1.29s/step] Training: 65%|██████▍ | 45443/70000 [16:05:18<8:35:13, 1.26s/step] Training: 65%|██████▍ | 45444/70000 [16:05:20<8:26:48, 1.24s/step] Training: 65%|██████▍ | 45445/70000 [16:05:21<8:46:03, 1.29s/step] Training: 65%|██████▍ | 45446/70000 [16:05:22<8:51:00, 1.30s/step] Training: 65%|██████▍ | 45447/70000 [16:05:23<8:38:04, 1.27s/step] Training: 65%|██████▍ | 45448/70000 [16:05:25<8:45:53, 1.29s/step] Training: 65%|██████▍ | 45449/70000 [16:05:26<8:34:07, 1.26s/step] Training: 65%|██████▍ | 45450/70000 [16:05:27<8:48:48, 1.29s/step] Training: 65%|██████▍ | 45451/70000 [16:05:29<8:36:11, 1.26s/step] Training: 65%|██████▍ | 45452/70000 [16:05:30<8:27:38, 1.24s/step] Training: 65%|██████▍ | 45453/70000 [16:05:31<8:27:41, 1.24s/step] Training: 65%|██████▍ | 45454/70000 [16:05:32<8:38:05, 1.27s/step] Training: 65%|██████▍ | 45455/70000 [16:05:34<8:28:42, 1.24s/step] Training: 65%|██████▍ | 45456/70000 [16:05:35<8:27:39, 1.24s/step] Training: 65%|██████▍ | 45457/70000 [16:05:36<8:21:10, 1.23s/step] Training: 65%|██████▍ | 45458/70000 [16:05:37<8:34:04, 1.26s/step] Training: 65%|██████▍ | 45459/70000 [16:05:38<8:26:12, 1.24s/step] Training: 65%|██████▍ | 45460/70000 [16:05:40<8:20:11, 1.22s/step] Training: 65%|██████▍ | 45461/70000 [16:05:41<8:24:22, 1.23s/step] Training: 65%|██████▍ | 45462/70000 [16:05:42<8:34:35, 1.26s/step] Training: 65%|██████▍ | 45463/70000 [16:05:43<8:27:08, 1.24s/step] Training: 65%|██████▍ | 45464/70000 [16:05:45<8:21:43, 1.23s/step] Training: 65%|██████▍ | 45465/70000 [16:05:46<8:17:04, 1.22s/step] Training: 65%|██████▍ | 45466/70000 [16:05:47<8:33:18, 1.26s/step] Training: 65%|██████▍ | 45467/70000 [16:05:48<8:25:25, 1.24s/step] Training: 65%|██████▍ | 45468/70000 [16:05:50<8:19:44, 1.22s/step] Training: 65%|██████▍ | 45469/70000 [16:05:51<8:32:10, 1.25s/step] Training: 65%|██████▍ | 45470/70000 [16:05:52<8:42:57, 1.28s/step] Training: 65%|██████▍ | 45471/70000 [16:05:53<8:30:45, 1.25s/step] Training: 65%|██████▍ | 45472/70000 [16:05:55<8:40:11, 1.27s/step] Training: 65%|██████▍ | 45473/70000 [16:05:56<8:29:45, 1.25s/step] Training: 65%|██████▍ | 45474/70000 [16:05:57<8:44:22, 1.28s/step] Training: 65%|██████▍ | 45475/70000 [16:05:58<8:33:24, 1.26s/step] Training: 65%|██████▍ | 45476/70000 [16:06:00<8:25:30, 1.24s/step] Training: 65%|██████▍ | 45477/70000 [16:06:01<8:37:03, 1.27s/step] Training: 65%|██████▍ | 45478/70000 [16:06:02<8:52:41, 1.30s/step] Training: 65%|██████▍ | 45479/70000 [16:06:04<8:38:35, 1.27s/step] Training: 65%|██████▍ | 45480/70000 [16:06:05<8:45:58, 1.29s/step] Training: 65%|██████▍ | 45481/70000 [16:06:06<8:33:57, 1.26s/step] Training: 65%|██████▍ | 45482/70000 [16:06:07<8:47:27, 1.29s/step] Training: 65%|██████▍ | 45483/70000 [16:06:09<8:35:29, 1.26s/step] Training: 65%|██████▍ | 45484/70000 [16:06:10<8:26:15, 1.24s/step] Training: 65%|██████▍ | 45485/70000 [16:06:11<8:24:12, 1.23s/step] Training: 65%|██████▍ | 45486/70000 [16:06:12<8:36:26, 1.26s/step] Training: 65%|██████▍ | 45487/70000 [16:06:14<8:46:43, 1.29s/step] Training: 65%|██████▍ | 45488/70000 [16:06:15<8:39:18, 1.27s/step] Training: 65%|██████▍ | 45489/70000 [16:06:16<8:29:14, 1.25s/step] Training: 65%|██████▍ | 45490/70000 [16:06:17<8:38:37, 1.27s/step] Training: 65%|██████▍ | 45491/70000 [16:06:19<8:28:39, 1.25s/step] Training: 65%|██████▍ | 45492/70000 [16:06:20<8:21:30, 1.23s/step] Training: 65%|██████▍ | 45493/70000 [16:06:21<8:19:52, 1.22s/step] Training: 65%|██████▍ | 45494/70000 [16:06:22<8:41:18, 1.28s/step] Training: 65%|██████▍ | 45495/70000 [16:06:24<8:29:33, 1.25s/step] Training: 65%|██████▍ | 45496/70000 [16:06:25<8:23:50, 1.23s/step] Training: 65%|██████▍ | 45497/70000 [16:06:26<8:18:38, 1.22s/step] Training: 65%|██████▍ | 45498/70000 [16:06:27<8:31:50, 1.25s/step] Training: 65%|██████▍ | 45499/70000 [16:06:29<8:25:19, 1.24s/step] Training: 65%|██████▌ | 45500/70000 [16:06:30<8:19:53, 1.22s/step]INFO 2026-03-13 12:16:22 ot_train.py:435 step:46K smpl:3M ep:10K epch:38.57 loss:0.010 grdn:1.083 lr:7.6e-06 updt_s:1.237 data_s:0.019 Training: 65%|██████▌ | 45501/70000 [16:06:31<8:33:15, 1.26s/step] Training: 65%|██████▌ | 45502/70000 [16:06:32<8:42:39, 1.28s/step] Training: 65%|██████▌ | 45503/70000 [16:06:34<8:51:46, 1.30s/step] Training: 65%|██████▌ | 45504/70000 [16:06:35<8:55:10, 1.31s/step] Training: 65%|██████▌ | 45505/70000 [16:06:36<8:40:07, 1.27s/step] Training: 65%|██████▌ | 45506/70000 [16:06:38<8:51:08, 1.30s/step] Training: 65%|██████▌ | 45507/70000 [16:06:39<8:37:44, 1.27s/step] Training: 65%|██████▌ | 45508/70000 [16:06:40<8:28:04, 1.24s/step] Training: 65%|██████▌ | 45509/70000 [16:06:41<8:38:13, 1.27s/step] Training: 65%|██████▌ | 45510/70000 [16:06:43<8:44:46, 1.29s/step] Training: 65%|██████▌ | 45511/70000 [16:06:44<8:52:55, 1.31s/step] Training: 65%|██████▌ | 45512/70000 [16:06:45<8:54:07, 1.31s/step] Training: 65%|██████▌ | 45513/70000 [16:06:47<8:39:28, 1.27s/step] Training: 65%|██████▌ | 45514/70000 [16:06:48<8:50:45, 1.30s/step] Training: 65%|██████▌ | 45515/70000 [16:06:49<8:37:51, 1.27s/step] Training: 65%|██████▌ | 45516/70000 [16:06:50<8:28:11, 1.25s/step] Training: 65%|██████▌ | 45517/70000 [16:06:52<8:25:01, 1.24s/step] Training: 65%|██████▌ | 45518/70000 [16:06:53<8:36:34, 1.27s/step] Training: 65%|██████▌ | 45519/70000 [16:06:54<8:27:15, 1.24s/step] Training: 65%|██████▌ | 45520/70000 [16:06:55<8:24:23, 1.24s/step] Training: 65%|██████▌ | 45521/70000 [16:06:56<8:19:37, 1.22s/step] Training: 65%|██████▌ | 45522/70000 [16:06:58<8:32:06, 1.26s/step] Training: 65%|██████▌ | 45523/70000 [16:06:59<8:24:24, 1.24s/step] Training: 65%|██████▌ | 45524/70000 [16:07:00<8:19:46, 1.23s/step] Training: 65%|██████▌ | 45525/70000 [16:07:01<8:18:49, 1.22s/step] Training: 65%|██████▌ | 45526/70000 [16:07:03<8:37:36, 1.27s/step] Training: 65%|██████▌ | 45527/70000 [16:07:04<8:36:50, 1.27s/step] Training: 65%|██████▌ | 45528/70000 [16:07:05<8:31:06, 1.25s/step] Training: 65%|██████▌ | 45529/70000 [16:07:06<8:24:44, 1.24s/step] Training: 65%|██████▌ | 45530/70000 [16:07:08<8:35:53, 1.26s/step] Training: 65%|██████▌ | 45531/70000 [16:07:09<8:45:37, 1.29s/step] Training: 65%|██████▌ | 45532/70000 [16:07:10<8:34:57, 1.26s/step] Training: 65%|██████▌ | 45533/70000 [16:07:12<8:43:19, 1.28s/step] Training: 65%|██████▌ | 45534/70000 [16:07:13<8:48:47, 1.30s/step] Training: 65%|██████▌ | 45535/70000 [16:07:14<8:41:53, 1.28s/step] Training: 65%|██████▌ | 45536/70000 [16:07:16<8:46:59, 1.29s/step] Training: 65%|██████▌ | 45537/70000 [16:07:17<8:34:43, 1.26s/step] Training: 65%|██████▌ | 45538/70000 [16:07:18<8:49:16, 1.30s/step] Training: 65%|██████▌ | 45539/70000 [16:07:19<8:37:21, 1.27s/step] Training: 65%|██████▌ | 45540/70000 [16:07:21<8:27:56, 1.25s/step] Training: 65%|██████▌ | 45541/70000 [16:07:22<8:37:51, 1.27s/step] Training: 65%|██████▌ | 45542/70000 [16:07:23<8:29:32, 1.25s/step] Training: 65%|██████▌ | 45543/70000 [16:07:24<8:34:45, 1.26s/step] Training: 65%|██████▌ | 45544/70000 [16:07:26<8:55:06, 1.31s/step] Training: 65%|██████▌ | 45545/70000 [16:07:27<8:39:49, 1.28s/step] Training: 65%|██████▌ | 45546/70000 [16:07:28<8:50:31, 1.30s/step] Training: 65%|██████▌ | 45547/70000 [16:07:30<8:37:04, 1.27s/step] Training: 65%|██████▌ | 45548/70000 [16:07:31<8:27:01, 1.24s/step] Training: 65%|██████▌ | 45549/70000 [16:07:32<8:24:57, 1.24s/step] Training: 65%|██████▌ | 45550/70000 [16:07:33<8:35:35, 1.27s/step] Training: 65%|██████▌ | 45551/70000 [16:07:34<8:26:29, 1.24s/step] Training: 65%|██████▌ | 45552/70000 [16:07:36<8:31:30, 1.26s/step] Training: 65%|██████▌ | 45553/70000 [16:07:37<8:23:30, 1.24s/step] Training: 65%|██████▌ | 45554/70000 [16:07:38<8:34:38, 1.26s/step] Training: 65%|██████▌ | 45555/70000 [16:07:39<8:25:41, 1.24s/step] Training: 65%|██████▌ | 45556/70000 [16:07:41<8:19:19, 1.23s/step] Training: 65%|██████▌ | 45557/70000 [16:07:42<8:20:14, 1.23s/step] Training: 65%|██████▌ | 45558/70000 [16:07:43<8:37:38, 1.27s/step] Training: 65%|██████▌ | 45559/70000 [16:07:44<8:28:06, 1.25s/step] Training: 65%|██████▌ | 45560/70000 [16:07:46<8:41:22, 1.28s/step] Training: 65%|██████▌ | 45561/70000 [16:07:47<8:29:03, 1.25s/step] Training: 65%|██████▌ | 45562/70000 [16:07:48<8:38:08, 1.27s/step] Training: 65%|██████▌ | 45563/70000 [16:07:49<8:28:41, 1.25s/step] Training: 65%|██████▌ | 45564/70000 [16:07:51<8:21:22, 1.23s/step] Training: 65%|██████▌ | 45565/70000 [16:07:52<8:16:10, 1.22s/step] Training: 65%|██████▌ | 45566/70000 [16:07:53<8:34:12, 1.26s/step] Training: 65%|██████▌ | 45567/70000 [16:07:55<8:41:25, 1.28s/step] Training: 65%|██████▌ | 45568/70000 [16:07:56<8:50:33, 1.30s/step] Training: 65%|██████▌ | 45569/70000 [16:07:57<8:35:18, 1.27s/step] Training: 65%|██████▌ | 45570/70000 [16:07:58<8:47:51, 1.30s/step] Training: 65%|██████▌ | 45571/70000 [16:08:00<8:35:22, 1.27s/step] Training: 65%|██████▌ | 45572/70000 [16:08:01<8:26:06, 1.24s/step] Training: 65%|██████▌ | 45573/70000 [16:08:02<8:19:35, 1.23s/step] Training: 65%|██████▌ | 45574/70000 [16:08:03<8:15:14, 1.22s/step] Training: 65%|██████▌ | 45575/70000 [16:08:05<8:27:43, 1.25s/step] Training: 65%|██████▌ | 45576/70000 [16:08:06<8:38:27, 1.27s/step] Training: 65%|██████▌ | 45577/70000 [16:08:07<8:46:51, 1.29s/step] Training: 65%|██████▌ | 45578/70000 [16:08:09<8:51:49, 1.31s/step] Training: 65%|██████▌ | 45579/70000 [16:08:10<8:38:09, 1.27s/step] Training: 65%|██████▌ | 45580/70000 [16:08:11<8:27:45, 1.25s/step] Training: 65%|██████▌ | 45581/70000 [16:08:12<8:25:12, 1.24s/step] Training: 65%|██████▌ | 45582/70000 [16:08:13<8:35:04, 1.27s/step] Training: 65%|██████▌ | 45583/70000 [16:08:15<8:26:58, 1.25s/step] Training: 65%|██████▌ | 45584/70000 [16:08:16<8:24:12, 1.24s/step] Training: 65%|██████▌ | 45585/70000 [16:08:17<8:38:21, 1.27s/step] Training: 65%|██████▌ | 45586/70000 [16:08:19<8:45:35, 1.29s/step] Training: 65%|██████▌ | 45587/70000 [16:08:20<8:33:09, 1.26s/step] Training: 65%|██████▌ | 45588/70000 [16:08:21<8:25:03, 1.24s/step] Training: 65%|██████▌ | 45589/70000 [16:08:22<8:19:40, 1.23s/step] Training: 65%|██████▌ | 45590/70000 [16:08:23<8:33:12, 1.26s/step] Training: 65%|██████▌ | 45591/70000 [16:08:25<8:24:36, 1.24s/step] Training: 65%|██████▌ | 45592/70000 [16:08:26<8:23:52, 1.24s/step] Training: 65%|██████▌ | 45593/70000 [16:08:27<8:20:55, 1.23s/step] Training: 65%|██████▌ | 45594/70000 [16:08:28<8:32:19, 1.26s/step] Training: 65%|██████▌ | 45595/70000 [16:08:30<8:25:31, 1.24s/step] Training: 65%|██████▌ | 45596/70000 [16:08:31<8:19:29, 1.23s/step] Training: 65%|██████▌ | 45597/70000 [16:08:32<8:32:44, 1.26s/step] Training: 65%|██████▌ | 45598/70000 [16:08:33<8:35:01, 1.27s/step] Training: 65%|██████▌ | 45599/70000 [16:08:35<8:25:42, 1.24s/step] Training: 65%|██████▌ | 45600/70000 [16:08:36<8:19:09, 1.23s/step]INFO 2026-03-13 12:18:28 ot_train.py:435 step:46K smpl:3M ep:10K epch:38.65 loss:0.009 grdn:0.764 lr:7.5e-06 updt_s:1.240 data_s:0.019 Training: 65%|██████▌ | 45601/70000 [16:08:37<8:29:57, 1.25s/step] Training: 65%|██████▌ | 45602/70000 [16:08:39<8:45:00, 1.29s/step] Training: 65%|██████▌ | 45603/70000 [16:08:40<8:33:20, 1.26s/step] Training: 65%|██████▌ | 45604/70000 [16:08:41<8:24:59, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=26875 Training: 65%|██████▌ | 45605/70000 [16:08:42<8:35:01, 1.27s/step] Training: 65%|██████▌ | 45606/70000 [16:08:43<8:29:35, 1.25s/step] Training: 65%|██████▌ | 45607/70000 [16:08:45<8:34:30, 1.27s/step] Training: 65%|██████▌ | 45608/70000 [16:08:46<8:25:47, 1.24s/step] Training: 65%|██████▌ | 45609/70000 [16:08:47<8:18:10, 1.23s/step] Training: 65%|██████▌ | 45610/70000 [16:08:49<8:33:07, 1.26s/step] Training: 65%|██████▌ | 45611/70000 [16:08:50<8:39:47, 1.28s/step] Training: 65%|██████▌ | 45612/70000 [16:08:51<8:28:45, 1.25s/step] Training: 65%|██████▌ | 45613/70000 [16:08:52<8:22:34, 1.24s/step] Training: 65%|██████▌ | 45614/70000 [16:08:54<8:34:22, 1.27s/step] Training: 65%|██████▌ | 45615/70000 [16:08:55<8:25:00, 1.24s/step] Training: 65%|██████▌ | 45616/70000 [16:08:56<8:22:57, 1.24s/step] Training: 65%|██████▌ | 45617/70000 [16:08:57<8:16:53, 1.22s/step] Training: 65%|██████▌ | 45618/70000 [16:08:59<8:37:40, 1.27s/step] Training: 65%|██████▌ | 45619/70000 [16:09:00<8:45:00, 1.29s/step] Training: 65%|██████▌ | 45620/70000 [16:09:01<8:32:33, 1.26s/step] Training: 65%|██████▌ | 45621/70000 [16:09:02<8:29:02, 1.25s/step] Training: 65%|██████▌ | 45622/70000 [16:09:04<8:43:59, 1.29s/step] Training: 65%|██████▌ | 45623/70000 [16:09:05<8:31:45, 1.26s/step] Training: 65%|██████▌ | 45624/70000 [16:09:06<8:25:31, 1.24s/step] Training: 65%|██████▌ | 45625/70000 [16:09:07<8:19:39, 1.23s/step] Training: 65%|██████▌ | 45626/70000 [16:09:09<8:31:28, 1.26s/step] Training: 65%|██████▌ | 45627/70000 [16:09:10<8:42:26, 1.29s/step] Training: 65%|██████▌ | 45628/70000 [16:09:11<8:29:23, 1.25s/step] Training: 65%|██████▌ | 45629/70000 [16:09:12<8:20:54, 1.23s/step] Training: 65%|██████▌ | 45630/70000 [16:09:14<8:37:06, 1.27s/step] Training: 65%|██████▌ | 45631/70000 [16:09:15<8:26:45, 1.25s/step] Training: 65%|██████▌ | 45632/70000 [16:09:16<8:37:57, 1.28s/step] Training: 65%|██████▌ | 45633/70000 [16:09:17<8:27:18, 1.25s/step] Training: 65%|██████▌ | 45634/70000 [16:09:19<8:45:36, 1.29s/step] Training: 65%|██████▌ | 45635/70000 [16:09:20<8:31:32, 1.26s/step] Training: 65%|██████▌ | 45636/70000 [16:09:21<8:22:43, 1.24s/step] Training: 65%|██████▌ | 45637/70000 [16:09:22<8:16:34, 1.22s/step] Training: 65%|██████▌ | 45638/70000 [16:09:24<8:14:47, 1.22s/step] Training: 65%|██████▌ | 45639/70000 [16:09:25<8:27:30, 1.25s/step] Training: 65%|██████▌ | 45640/70000 [16:09:26<8:36:23, 1.27s/step] Training: 65%|██████▌ | 45641/70000 [16:09:27<8:26:43, 1.25s/step] Training: 65%|██████▌ | 45642/70000 [16:09:29<8:27:34, 1.25s/step] Training: 65%|██████▌ | 45643/70000 [16:09:30<8:39:04, 1.28s/step] Training: 65%|██████▌ | 45644/70000 [16:09:31<8:26:46, 1.25s/step] Training: 65%|██████▌ | 45645/70000 [16:09:32<8:24:21, 1.24s/step] Training: 65%|██████▌ | 45646/70000 [16:09:34<8:33:49, 1.27s/step] Training: 65%|██████▌ | 45647/70000 [16:09:35<8:39:35, 1.28s/step] Training: 65%|██████▌ | 45648/70000 [16:09:36<8:31:22, 1.26s/step] Training: 65%|██████▌ | 45649/70000 [16:09:37<8:22:57, 1.24s/step] Training: 65%|██████▌ | 45650/70000 [16:09:39<8:34:13, 1.27s/step] Training: 65%|██████▌ | 45651/70000 [16:09:40<8:44:01, 1.29s/step] Training: 65%|██████▌ | 45652/70000 [16:09:41<8:30:29, 1.26s/step] Training: 65%|██████▌ | 45653/70000 [16:09:43<8:25:19, 1.25s/step] Training: 65%|██████▌ | 45654/70000 [16:09:44<8:36:23, 1.27s/step] Training: 65%|██████▌ | 45655/70000 [16:09:45<8:37:08, 1.27s/step] Training: 65%|██████▌ | 45656/70000 [16:09:46<8:29:05, 1.25s/step] Training: 65%|██████▌ | 45657/70000 [16:09:48<8:21:10, 1.24s/step] Training: 65%|██████▌ | 45658/70000 [16:09:49<8:34:25, 1.27s/step] Training: 65%|██████▌ | 45659/70000 [16:09:50<8:25:22, 1.25s/step] Training: 65%|██████▌ | 45660/70000 [16:09:51<8:18:13, 1.23s/step] Training: 65%|██████▌ | 45661/70000 [16:09:53<8:30:34, 1.26s/step] Training: 65%|██████▌ | 45662/70000 [16:09:54<8:26:29, 1.25s/step] Training: 65%|██████▌ | 45663/70000 [16:09:55<8:20:28, 1.23s/step] Training: 65%|██████▌ | 45664/70000 [16:09:56<8:32:10, 1.26s/step] Training: 65%|██████▌ | 45665/70000 [16:09:58<8:23:14, 1.24s/step] Training: 65%|██████▌ | 45666/70000 [16:09:59<8:38:03, 1.28s/step] Training: 65%|██████▌ | 45667/70000 [16:10:00<8:31:50, 1.26s/step] Training: 65%|██████▌ | 45668/70000 [16:10:01<8:22:54, 1.24s/step] Training: 65%|██████▌ | 45669/70000 [16:10:03<8:33:40, 1.27s/step] Training: 65%|██████▌ | 45670/70000 [16:10:04<8:27:44, 1.25s/step] Training: 65%|██████▌ | 45671/70000 [16:10:05<8:20:06, 1.23s/step] Training: 65%|██████▌ | 45672/70000 [16:10:06<8:31:57, 1.26s/step] Training: 65%|██████▌ | 45673/70000 [16:10:08<8:23:23, 1.24s/step] Training: 65%|██████▌ | 45674/70000 [16:10:09<8:25:30, 1.25s/step] Training: 65%|██████▌ | 45675/70000 [16:10:10<8:25:48, 1.25s/step] Training: 65%|██████▌ | 45676/70000 [16:10:11<8:20:25, 1.23s/step] Training: 65%|██████▌ | 45677/70000 [16:10:13<8:21:37, 1.24s/step] Training: 65%|██████▌ | 45678/70000 [16:10:14<8:34:29, 1.27s/step] Training: 65%|██████▌ | 45679/70000 [16:10:15<8:28:39, 1.25s/step] Training: 65%|██████▌ | 45680/70000 [16:10:16<8:24:54, 1.25s/step] Training: 65%|██████▌ | 45681/70000 [16:10:18<8:18:51, 1.23s/step] Training: 65%|██████▌ | 45682/70000 [16:10:19<8:30:47, 1.26s/step] Training: 65%|██████▌ | 45683/70000 [16:10:20<8:22:56, 1.24s/step] Training: 65%|██████▌ | 45684/70000 [16:10:21<8:35:44, 1.27s/step] Training: 65%|██████▌ | 45685/70000 [16:10:23<8:27:21, 1.25s/step] Training: 65%|██████▌ | 45686/70000 [16:10:24<8:37:10, 1.28s/step] Training: 65%|██████▌ | 45687/70000 [16:10:25<8:29:08, 1.26s/step] Training: 65%|██████▌ | 45688/70000 [16:10:26<8:22:58, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=26875 Training: 65%|██████▌ | 45689/70000 [16:10:28<8:16:50, 1.23s/step] Training: 65%|██████▌ | 45690/70000 [16:10:29<8:28:23, 1.25s/step] Training: 65%|██████▌ | 45691/70000 [16:10:30<8:22:31, 1.24s/step] Training: 65%|██████▌ | 45692/70000 [16:10:31<8:26:59, 1.25s/step] Training: 65%|██████▌ | 45693/70000 [16:10:33<8:36:16, 1.27s/step] Training: 65%|██████▌ | 45694/70000 [16:10:34<8:31:31, 1.26s/step] Training: 65%|██████▌ | 45695/70000 [16:10:35<8:39:21, 1.28s/step] Training: 65%|██████▌ | 45696/70000 [16:10:37<8:44:17, 1.29s/step] Training: 65%|██████▌ | 45697/70000 [16:10:38<8:31:48, 1.26s/step] Training: 65%|██████▌ | 45698/70000 [16:10:39<8:44:10, 1.29s/step] Training: 65%|██████▌ | 45699/70000 [16:10:40<8:31:30, 1.26s/step] Training: 65%|██████▌ | 45700/70000 [16:10:41<8:22:43, 1.24s/step]INFO 2026-03-13 12:20:34 ot_train.py:435 step:46K smpl:3M ep:10K epch:38.74 loss:0.009 grdn:0.910 lr:7.5e-06 updt_s:1.235 data_s:0.019 Training: 65%|██████▌ | 45701/70000 [16:10:43<8:45:17, 1.30s/step] Training: 65%|██████▌ | 45702/70000 [16:10:44<8:33:26, 1.27s/step] Training: 65%|██████▌ | 45703/70000 [16:10:45<8:40:59, 1.29s/step] Training: 65%|██████▌ | 45704/70000 [16:10:47<8:45:12, 1.30s/step] Training: 65%|██████▌ | 45705/70000 [16:10:48<8:32:28, 1.27s/step] Training: 65%|██████▌ | 45706/70000 [16:10:49<8:30:07, 1.26s/step] Training: 65%|██████▌ | 45707/70000 [16:10:50<8:21:16, 1.24s/step] Training: 65%|██████▌ | 45708/70000 [16:10:52<8:34:37, 1.27s/step] Training: 65%|██████▌ | 45709/70000 [16:10:53<8:23:59, 1.24s/step] Training: 65%|██████▌ | 45710/70000 [16:10:54<8:34:22, 1.27s/step] Training: 65%|██████▌ | 45711/70000 [16:10:55<8:28:26, 1.26s/step] Training: 65%|██████▌ | 45712/70000 [16:10:57<8:25:56, 1.25s/step] Training: 65%|██████▌ | 45713/70000 [16:10:58<8:18:26, 1.23s/step] Training: 65%|██████▌ | 45714/70000 [16:10:59<8:29:29, 1.26s/step] Training: 65%|██████▌ | 45715/70000 [16:11:00<8:20:54, 1.24s/step] Training: 65%|██████▌ | 45716/70000 [16:11:02<8:15:23, 1.22s/step] Training: 65%|██████▌ | 45717/70000 [16:11:03<8:29:58, 1.26s/step] Training: 65%|██████▌ | 45718/70000 [16:11:04<8:37:45, 1.28s/step] Training: 65%|██████▌ | 45719/70000 [16:11:05<8:28:53, 1.26s/step] Training: 65%|██████▌ | 45720/70000 [16:11:07<8:23:09, 1.24s/step] Training: 65%|██████▌ | 45721/70000 [16:11:08<8:16:27, 1.23s/step] Training: 65%|██████▌ | 45722/70000 [16:11:09<8:27:55, 1.26s/step] Training: 65%|██████▌ | 45723/70000 [16:11:10<8:21:19, 1.24s/step] Training: 65%|██████▌ | 45724/70000 [16:11:12<8:15:18, 1.22s/step] Training: 65%|██████▌ | 45725/70000 [16:11:13<8:29:41, 1.26s/step] Training: 65%|██████▌ | 45726/70000 [16:11:14<8:32:22, 1.27s/step] Training: 65%|██████▌ | 45727/70000 [16:11:16<8:39:48, 1.28s/step] Training: 65%|██████▌ | 45728/70000 [16:11:17<8:45:27, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=26875 Training: 65%|██████▌ | 45729/70000 [16:11:18<8:32:06, 1.27s/step] Training: 65%|██████▌ | 45730/70000 [16:11:19<8:46:12, 1.30s/step] Training: 65%|██████▌ | 45731/70000 [16:11:21<8:33:07, 1.27s/step] Training: 65%|██████▌ | 45732/70000 [16:11:22<8:23:26, 1.24s/step] Training: 65%|██████▌ | 45733/70000 [16:11:23<8:33:29, 1.27s/step] Training: 65%|██████▌ | 45734/70000 [16:11:24<8:26:58, 1.25s/step] Training: 65%|██████▌ | 45735/70000 [16:11:26<8:36:17, 1.28s/step] Training: 65%|██████▌ | 45736/70000 [16:11:27<8:43:00, 1.29s/step] Training: 65%|██████▌ | 45737/70000 [16:11:28<8:30:05, 1.26s/step] Training: 65%|██████▌ | 45738/70000 [16:11:30<8:42:27, 1.29s/step] Training: 65%|██████▌ | 45739/70000 [16:11:31<8:30:24, 1.26s/step] Training: 65%|██████▌ | 45740/70000 [16:11:32<8:21:46, 1.24s/step] Training: 65%|██████▌ | 45741/70000 [16:11:33<8:21:11, 1.24s/step] Training: 65%|██████▌ | 45742/70000 [16:11:35<8:32:15, 1.27s/step] Training: 65%|██████▌ | 45743/70000 [16:11:36<8:26:30, 1.25s/step] Training: 65%|██████▌ | 45744/70000 [16:11:37<8:22:28, 1.24s/step] Training: 65%|██████▌ | 45745/70000 [16:11:38<8:16:24, 1.23s/step] Training: 65%|██████▌ | 45746/70000 [16:11:39<8:28:04, 1.26s/step] Training: 65%|██████▌ | 45747/70000 [16:11:41<8:19:53, 1.24s/step] Training: 65%|██████▌ | 45748/70000 [16:11:42<8:14:09, 1.22s/step] Training: 65%|██████▌ | 45749/70000 [16:11:43<8:17:07, 1.23s/step] Training: 65%|██████▌ | 45750/70000 [16:11:44<8:27:15, 1.26s/step] Training: 65%|██████▌ | 45751/70000 [16:11:46<8:21:04, 1.24s/step] Training: 65%|██████▌ | 45752/70000 [16:11:47<8:17:28, 1.23s/step] Training: 65%|██████▌ | 45753/70000 [16:11:48<8:12:10, 1.22s/step] Training: 65%|██████▌ | 45754/70000 [16:11:49<8:26:05, 1.25s/step] Training: 65%|██████▌ | 45755/70000 [16:11:51<8:18:33, 1.23s/step] Training: 65%|██████▌ | 45756/70000 [16:11:52<8:13:00, 1.22s/step] Training: 65%|██████▌ | 45757/70000 [16:11:53<8:09:01, 1.21s/step] Training: 65%|██████▌ | 45758/70000 [16:11:54<8:24:45, 1.25s/step] Training: 65%|██████▌ | 45759/70000 [16:11:56<8:33:29, 1.27s/step] Training: 65%|██████▌ | 45760/70000 [16:11:57<8:39:46, 1.29s/step] Training: 65%|██████▌ | 45761/70000 [16:11:58<8:27:37, 1.26s/step] Training: 65%|██████▌ | 45762/70000 [16:11:59<8:40:31, 1.29s/step] Training: 65%|██████▌ | 45763/70000 [16:12:01<8:29:04, 1.26s/step] Training: 65%|██████▌ | 45764/70000 [16:12:02<8:20:24, 1.24s/step] Training: 65%|██████▌ | 45765/70000 [16:12:03<8:30:55, 1.26s/step] Training: 65%|██████▌ | 45766/70000 [16:12:04<8:32:31, 1.27s/step] Training: 65%|██████▌ | 45767/70000 [16:12:06<8:39:14, 1.29s/step] Training: 65%|██████▌ | 45768/70000 [16:12:07<8:44:34, 1.30s/step] Training: 65%|██████▌ | 45769/70000 [16:12:08<8:31:09, 1.27s/step] Training: 65%|██████▌ | 45770/70000 [16:12:10<8:30:32, 1.26s/step] Training: 65%|██████▌ | 45771/70000 [16:12:11<8:21:30, 1.24s/step] Training: 65%|██████▌ | 45772/70000 [16:12:12<8:16:43, 1.23s/step] Training: 65%|██████▌ | 45773/70000 [16:12:13<8:12:29, 1.22s/step] Training: 65%|██████▌ | 45774/70000 [16:12:14<8:26:57, 1.26s/step] Training: 65%|██████▌ | 45775/70000 [16:12:16<8:37:33, 1.28s/step] Training: 65%|██████▌ | 45776/70000 [16:12:17<8:32:47, 1.27s/step] Training: 65%|██████▌ | 45777/70000 [16:12:18<8:22:39, 1.25s/step] Training: 65%|██████▌ | 45778/70000 [16:12:20<8:32:12, 1.27s/step] Training: 65%|██████▌ | 45779/70000 [16:12:21<8:22:58, 1.25s/step] Training: 65%|██████▌ | 45780/70000 [16:12:22<8:16:24, 1.23s/step] Training: 65%|██████▌ | 45781/70000 [16:12:23<8:16:53, 1.23s/step] Training: 65%|██████▌ | 45782/70000 [16:12:25<8:31:38, 1.27s/step] Training: 65%|██████▌ | 45783/70000 [16:12:26<8:24:03, 1.25s/step] Training: 65%|██████▌ | 45784/70000 [16:12:27<8:20:10, 1.24s/step] Training: 65%|██████▌ | 45785/70000 [16:12:28<8:13:49, 1.22s/step] Training: 65%|██████▌ | 45786/70000 [16:12:29<8:26:17, 1.25s/step] Training: 65%|██████▌ | 45787/70000 [16:12:31<8:19:44, 1.24s/step] Training: 65%|██████▌ | 45788/70000 [16:12:32<8:14:04, 1.22s/step] Training: 65%|██████▌ | 45789/70000 [16:12:33<8:09:39, 1.21s/step] Training: 65%|██████▌ | 45790/70000 [16:12:34<8:22:06, 1.24s/step] Training: 65%|██████▌ | 45791/70000 [16:12:36<8:46:54, 1.31s/step] Training: 65%|██████▌ | 45792/70000 [16:12:37<8:50:56, 1.32s/step] Training: 65%|██████▌ | 45793/70000 [16:12:38<8:35:46, 1.28s/step] Training: 65%|██████▌ | 45794/70000 [16:12:40<8:46:49, 1.31s/step] Training: 65%|██████▌ | 45795/70000 [16:12:41<8:33:13, 1.27s/step] Training: 65%|██████▌ | 45796/70000 [16:12:42<8:23:30, 1.25s/step] Training: 65%|██████▌ | 45797/70000 [16:12:43<8:16:16, 1.23s/step] Training: 65%|██████▌ | 45798/70000 [16:12:45<8:15:02, 1.23s/step] Training: 65%|██████▌ | 45799/70000 [16:12:46<8:40:06, 1.29s/step] Training: 65%|██████▌ | 45800/70000 [16:12:47<8:45:27, 1.30s/step]INFO 2026-03-13 12:22:39 ot_train.py:435 step:46K smpl:3M ep:10K epch:38.82 loss:0.010 grdn:0.837 lr:7.4e-06 updt_s:1.237 data_s:0.019 Training: 65%|██████▌ | 45801/70000 [16:12:48<8:32:07, 1.27s/step] Training: 65%|██████▌ | 45802/70000 [16:12:50<8:35:01, 1.28s/step] Training: 65%|██████▌ | 45803/70000 [16:12:51<8:24:12, 1.25s/step] Training: 65%|██████▌ | 45804/70000 [16:12:52<8:17:05, 1.23s/step] Training: 65%|██████▌ | 45805/70000 [16:12:53<8:13:16, 1.22s/step] Training: 65%|██████▌ | 45806/70000 [16:12:55<8:27:29, 1.26s/step] Training: 65%|██████▌ | 45807/70000 [16:12:56<8:22:45, 1.25s/step] Training: 65%|██████▌ | 45808/70000 [16:12:57<8:21:08, 1.24s/step] Training: 65%|██████▌ | 45809/70000 [16:12:58<8:14:22, 1.23s/step] Training: 65%|██████▌ | 45810/70000 [16:13:00<8:15:05, 1.23s/step] Training: 65%|██████▌ | 45811/70000 [16:13:01<8:21:31, 1.24s/step] Training: 65%|██████▌ | 45812/70000 [16:13:02<8:14:32, 1.23s/step] Training: 65%|██████▌ | 45813/70000 [16:13:03<8:15:30, 1.23s/step] Training: 65%|██████▌ | 45814/70000 [16:13:05<8:28:13, 1.26s/step] Training: 65%|██████▌ | 45815/70000 [16:13:06<8:28:26, 1.26s/step] Training: 65%|██████▌ | 45816/70000 [16:13:07<8:22:49, 1.25s/step] Training: 65%|██████▌ | 45817/70000 [16:13:08<8:15:39, 1.23s/step] Training: 65%|██████▌ | 45818/70000 [16:13:10<8:27:56, 1.26s/step] Training: 65%|██████▌ | 45819/70000 [16:13:11<8:24:55, 1.25s/step] Training: 65%|██████▌ | 45820/70000 [16:13:12<8:17:11, 1.23s/step] Training: 65%|██████▌ | 45821/70000 [16:13:13<8:11:51, 1.22s/step] Training: 65%|██████▌ | 45822/70000 [16:13:15<8:22:07, 1.25s/step] Training: 65%|██████▌ | 45823/70000 [16:13:16<8:31:53, 1.27s/step] Training: 65%|██████▌ | 45824/70000 [16:13:17<8:37:49, 1.29s/step] Training: 65%|██████▌ | 45825/70000 [16:13:18<8:26:05, 1.26s/step] Training: 65%|██████▌ | 45826/70000 [16:13:20<8:39:25, 1.29s/step] Training: 65%|██████▌ | 45827/70000 [16:13:21<8:27:33, 1.26s/step] Training: 65%|██████▌ | 45828/70000 [16:13:22<8:19:47, 1.24s/step] Training: 65%|██████▌ | 45829/70000 [16:13:23<8:28:44, 1.26s/step] Training: 65%|██████▌ | 45830/70000 [16:13:25<8:24:14, 1.25s/step] Training: 65%|██████▌ | 45831/70000 [16:13:26<8:32:47, 1.27s/step] Training: 65%|██████▌ | 45832/70000 [16:13:27<8:53:08, 1.32s/step] Training: 65%|██████▌ | 45833/70000 [16:13:29<8:36:32, 1.28s/step] Training: 65%|██████▌ | 45834/70000 [16:13:30<8:33:18, 1.27s/step] Training: 65%|██████▌ | 45835/70000 [16:13:31<8:23:03, 1.25s/step] Training: 65%|██████▌ | 45836/70000 [16:13:32<8:16:09, 1.23s/step] Training: 65%|██████▌ | 45837/70000 [16:13:33<8:11:51, 1.22s/step] Training: 65%|██████▌ | 45838/70000 [16:13:35<8:09:14, 1.21s/step] Training: 65%|██████▌ | 45839/70000 [16:13:36<8:20:01, 1.24s/step] Training: 65%|██████▌ | 45840/70000 [16:13:37<8:25:17, 1.25s/step] Training: 65%|██████▌ | 45841/70000 [16:13:38<8:17:56, 1.24s/step] Training: 65%|██████▌ | 45842/70000 [16:13:40<8:28:38, 1.26s/step] Training: 65%|██████▌ | 45843/70000 [16:13:41<8:20:00, 1.24s/step] Training: 65%|██████▌ | 45844/70000 [16:13:42<8:14:16, 1.23s/step] Training: 65%|██████▌ | 45845/70000 [16:13:43<8:14:34, 1.23s/step] Training: 65%|██████▌ | 45846/70000 [16:13:45<8:27:38, 1.26s/step] Training: 65%|██████▌ | 45847/70000 [16:13:46<8:20:00, 1.24s/step] Training: 65%|██████▌ | 45848/70000 [16:13:47<8:33:01, 1.27s/step] Training: 65%|██████▌ | 45849/70000 [16:13:48<8:22:30, 1.25s/step] Training: 66%|██████▌ | 45850/70000 [16:13:50<8:33:32, 1.28s/step] Training: 66%|██████▌ | 45851/70000 [16:13:51<8:24:30, 1.25s/step] Training: 66%|██████▌ | 45852/70000 [16:13:52<8:16:27, 1.23s/step] Training: 66%|██████▌ | 45853/70000 [16:13:53<8:10:59, 1.22s/step] Training: 66%|██████▌ | 45854/70000 [16:13:55<8:21:55, 1.25s/step] Training: 66%|██████▌ | 45855/70000 [16:13:56<8:32:21, 1.27s/step] Training: 66%|██████▌ | 45856/70000 [16:13:57<8:44:02, 1.30s/step] Training: 66%|██████▌ | 45857/70000 [16:13:59<8:29:18, 1.27s/step] Training: 66%|██████▌ | 45858/70000 [16:14:00<8:42:31, 1.30s/step] Training: 66%|██████▌ | 45859/70000 [16:14:01<8:30:15, 1.27s/step] Training: 66%|██████▌ | 45860/70000 [16:14:02<8:20:52, 1.24s/step] Training: 66%|██████▌ | 45861/70000 [16:14:04<8:14:40, 1.23s/step] Training: 66%|██████▌ | 45862/70000 [16:14:05<8:14:29, 1.23s/step] Training: 66%|██████▌ | 45863/70000 [16:14:06<8:26:31, 1.26s/step] Training: 66%|██████▌ | 45864/70000 [16:14:07<8:34:57, 1.28s/step] Training: 66%|██████▌ | 45865/70000 [16:14:09<8:43:40, 1.30s/step] Training: 66%|██████▌ | 45866/70000 [16:14:10<8:42:15, 1.30s/step] Training: 66%|██████▌ | 45867/70000 [16:14:11<8:28:56, 1.27s/step] Training: 66%|██████▌ | 45868/70000 [16:14:12<8:20:05, 1.24s/step] Training: 66%|██████▌ | 45869/70000 [16:14:14<8:17:15, 1.24s/step] Training: 66%|██████▌ | 45870/70000 [16:14:15<8:11:53, 1.22s/step] Training: 66%|██████▌ | 45871/70000 [16:14:16<8:22:26, 1.25s/step] Training: 66%|██████▌ | 45872/70000 [16:14:17<8:19:32, 1.24s/step] Training: 66%|██████▌ | 45873/70000 [16:14:19<8:31:38, 1.27s/step] Training: 66%|██████▌ | 45874/70000 [16:14:20<8:24:49, 1.26s/step] Training: 66%|██████▌ | 45875/70000 [16:14:21<8:29:06, 1.27s/step] Training: 66%|██████▌ | 45876/70000 [16:14:22<8:19:53, 1.24s/step] Training: 66%|██████▌ | 45877/70000 [16:14:24<8:18:04, 1.24s/step] Training: 66%|██████▌ | 45878/70000 [16:14:25<8:11:53, 1.22s/step] Training: 66%|██████▌ | 45879/70000 [16:14:26<8:08:53, 1.22s/step] Training: 66%|██████▌ | 45880/70000 [16:14:27<8:08:09, 1.21s/step] Training: 66%|██████▌ | 45881/70000 [16:14:28<8:05:21, 1.21s/step] Training: 66%|██████▌ | 45882/70000 [16:14:30<8:21:39, 1.25s/step] Training: 66%|██████▌ | 45883/70000 [16:14:31<8:14:22, 1.23s/step] Training: 66%|██████▌ | 45884/70000 [16:14:32<8:09:49, 1.22s/step] Training: 66%|██████▌ | 45885/70000 [16:14:33<8:22:26, 1.25s/step] Training: 66%|██████▌ | 45886/70000 [16:14:35<8:22:36, 1.25s/step] Training: 66%|██████▌ | 45887/70000 [16:14:36<8:32:30, 1.28s/step] Training: 66%|██████▌ | 45888/70000 [16:14:37<8:39:29, 1.29s/step] Training: 66%|██████▌ | 45889/70000 [16:14:39<8:33:14, 1.28s/step] Training: 66%|██████▌ | 45890/70000 [16:14:40<8:41:32, 1.30s/step] Training: 66%|██████▌ | 45891/70000 [16:14:41<8:29:08, 1.27s/step] Training: 66%|██████▌ | 45892/70000 [16:14:42<8:19:57, 1.24s/step] Training: 66%|██████▌ | 45893/70000 [16:14:44<8:30:29, 1.27s/step] Training: 66%|██████▌ | 45894/70000 [16:14:45<8:23:46, 1.25s/step] Training: 66%|██████▌ | 45895/70000 [16:14:46<8:32:34, 1.28s/step] Training: 66%|██████▌ | 45896/70000 [16:14:48<8:38:35, 1.29s/step] Training: 66%|██████▌ | 45897/70000 [16:14:49<8:31:42, 1.27s/step] Training: 66%|██████▌ | 45898/70000 [16:14:50<8:42:28, 1.30s/step] Training: 66%|██████▌ | 45899/70000 [16:14:51<8:29:41, 1.27s/step] Training: 66%|██████▌ | 45900/70000 [16:14:53<8:19:42, 1.24s/step]INFO 2026-03-13 12:24:45 ot_train.py:435 step:46K smpl:3M ep:10K epch:38.91 loss:0.010 grdn:1.539 lr:7.4e-06 updt_s:1.231 data_s:0.019 Training: 66%|██████▌ | 45901/70000 [16:14:54<8:17:36, 1.24s/step] Training: 66%|██████▌ | 45902/70000 [16:14:55<8:30:48, 1.27s/step] Training: 66%|██████▌ | 45903/70000 [16:14:56<8:27:41, 1.26s/step] Training: 66%|██████▌ | 45904/70000 [16:14:58<8:24:18, 1.26s/step] Training: 66%|██████▌ | 45905/70000 [16:14:59<8:15:47, 1.23s/step] Training: 66%|██████▌ | 45906/70000 [16:15:00<8:30:29, 1.27s/step] Training: 66%|██████▌ | 45907/70000 [16:15:01<8:30:34, 1.27s/step] Training: 66%|██████▌ | 45908/70000 [16:15:03<8:20:48, 1.25s/step] Training: 66%|██████▌ | 45909/70000 [16:15:04<8:16:32, 1.24s/step] Training: 66%|██████▌ | 45910/70000 [16:15:05<8:27:19, 1.26s/step] Training: 66%|██████▌ | 45911/70000 [16:15:06<8:20:34, 1.25s/step] Training: 66%|██████▌ | 45912/70000 [16:15:08<8:17:31, 1.24s/step] Training: 66%|██████▌ | 45913/70000 [16:15:09<8:11:41, 1.22s/step] Training: 66%|██████▌ | 45914/70000 [16:15:10<8:36:05, 1.29s/step] Training: 66%|██████▌ | 45915/70000 [16:15:11<8:27:08, 1.26s/step] Training: 66%|██████▌ | 45916/70000 [16:15:13<8:18:30, 1.24s/step] Training: 66%|██████▌ | 45917/70000 [16:15:14<8:29:51, 1.27s/step] Training: 66%|██████▌ | 45918/70000 [16:15:15<8:23:41, 1.25s/step] Training: 66%|██████▌ | 45919/70000 [16:15:16<8:32:36, 1.28s/step] Training: 66%|██████▌ | 45920/70000 [16:15:18<8:38:30, 1.29s/step] Training: 66%|██████▌ | 45921/70000 [16:15:19<8:26:10, 1.26s/step] Training: 66%|██████▌ | 45922/70000 [16:15:20<8:38:43, 1.29s/step] Training: 66%|██████▌ | 45923/70000 [16:15:22<8:25:00, 1.26s/step] Training: 66%|██████▌ | 45924/70000 [16:15:23<8:16:42, 1.24s/step] Training: 66%|██████▌ | 45925/70000 [16:15:24<8:28:25, 1.27s/step] Training: 66%|██████▌ | 45926/70000 [16:15:25<8:21:38, 1.25s/step] Training: 66%|██████▌ | 45927/70000 [16:15:27<8:31:32, 1.27s/step] Training: 66%|██████▌ | 45928/70000 [16:15:28<8:36:42, 1.29s/step] Training: 66%|██████▌ | 45929/70000 [16:15:29<8:24:52, 1.26s/step] Training: 66%|██████▌ | 45930/70000 [16:15:31<8:42:30, 1.30s/step] Training: 66%|██████▌ | 45931/70000 [16:15:32<8:28:01, 1.27s/step] Training: 66%|██████▌ | 45932/70000 [16:15:33<8:18:39, 1.24s/step] Training: 66%|██████▌ | 45933/70000 [16:15:34<8:16:39, 1.24s/step] Training: 66%|██████▌ | 45934/70000 [16:15:35<8:28:24, 1.27s/step] Training: 66%|██████▌ | 45935/70000 [16:15:37<8:23:13, 1.25s/step] Training: 66%|██████▌ | 45936/70000 [16:15:38<8:23:42, 1.26s/step] Training: 66%|██████▌ | 45937/70000 [16:15:39<8:15:47, 1.24s/step] Training: 66%|██████▌ | 45938/70000 [16:15:40<8:13:43, 1.23s/step] Training: 66%|██████▌ | 45939/70000 [16:15:42<8:27:36, 1.27s/step] Training: 66%|██████▌ | 45940/70000 [16:15:43<8:17:42, 1.24s/step] Training: 66%|██████▌ | 45941/70000 [16:15:44<8:14:40, 1.23s/step] Training: 66%|██████▌ | 45942/70000 [16:15:45<8:27:08, 1.26s/step] Training: 66%|██████▌ | 45943/70000 [16:15:47<8:20:39, 1.25s/step] Training: 66%|██████▌ | 45944/70000 [16:15:48<8:17:32, 1.24s/step] Training: 66%|██████▌ | 45945/70000 [16:15:49<8:11:40, 1.23s/step] Training: 66%|██████▌ | 45946/70000 [16:15:50<8:25:29, 1.26s/step] Training: 66%|██████▌ | 45947/70000 [16:15:52<8:36:45, 1.29s/step] Training: 66%|██████▌ | 45948/70000 [16:15:53<8:23:43, 1.26s/step] Training: 66%|██████▌ | 45949/70000 [16:15:54<8:31:34, 1.28s/step] Training: 66%|██████▌ | 45950/70000 [16:15:55<8:26:19, 1.26s/step] Training: 66%|██████▌ | 45951/70000 [16:15:57<8:34:21, 1.28s/step] Training: 66%|██████▌ | 45952/70000 [16:15:58<8:23:35, 1.26s/step] Training: 66%|██████▌ | 45953/70000 [16:15:59<8:30:00, 1.27s/step] Training: 66%|██████▌ | 45954/70000 [16:16:01<8:41:43, 1.30s/step] Training: 66%|██████▌ | 45955/70000 [16:16:02<8:46:54, 1.31s/step] Training: 66%|██████▌ | 45956/70000 [16:16:03<8:30:45, 1.27s/step] Training: 66%|██████▌ | 45957/70000 [16:16:05<8:37:45, 1.29s/step] Training: 66%|██████▌ | 45958/70000 [16:16:06<8:27:54, 1.27s/step] Training: 66%|██████▌ | 45959/70000 [16:16:07<8:35:15, 1.29s/step] Training: 66%|██████▌ | 45960/70000 [16:16:08<8:23:32, 1.26s/step] Training: 66%|██████▌ | 45961/70000 [16:16:10<8:21:20, 1.25s/step] Training: 66%|██████▌ | 45962/70000 [16:16:11<8:21:12, 1.25s/step] Training: 66%|██████▌ | 45963/70000 [16:16:12<8:35:25, 1.29s/step] Training: 66%|██████▌ | 45964/70000 [16:16:13<8:22:23, 1.25s/step] Training: 66%|██████▌ | 45965/70000 [16:16:15<8:19:44, 1.25s/step] Training: 66%|██████▌ | 45966/70000 [16:16:16<8:31:27, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=32228 Training: 66%|██████▌ | 45967/70000 [16:16:17<8:24:57, 1.26s/step] Training: 66%|██████▌ | 45968/70000 [16:16:18<8:16:06, 1.24s/step] Training: 66%|██████▌ | 45969/70000 [16:16:20<8:12:28, 1.23s/step] Training: 66%|██████▌ | 45970/70000 [16:16:21<8:23:42, 1.26s/step] Training: 66%|██████▌ | 45971/70000 [16:16:22<8:20:37, 1.25s/step] Training: 66%|██████▌ | 45972/70000 [16:16:23<8:11:59, 1.23s/step] Training: 66%|██████▌ | 45973/70000 [16:16:24<8:09:07, 1.22s/step] Training: 66%|██████▌ | 45974/70000 [16:16:26<8:05:22, 1.21s/step] Training: 66%|██████▌ | 45975/70000 [16:16:27<8:18:38, 1.25s/step] Training: 66%|██████▌ | 45976/70000 [16:16:28<8:11:32, 1.23s/step] Training: 66%|██████▌ | 45977/70000 [16:16:29<8:23:32, 1.26s/step] Training: 66%|██████▌ | 45978/70000 [16:16:31<8:32:26, 1.28s/step] Training: 66%|██████▌ | 45979/70000 [16:16:32<8:22:08, 1.25s/step] Training: 66%|██████▌ | 45980/70000 [16:16:33<8:31:31, 1.28s/step] Training: 66%|██████▌ | 45981/70000 [16:16:35<8:36:48, 1.29s/step] Training: 66%|██████▌ | 45982/70000 [16:16:36<8:24:49, 1.26s/step] Training: 66%|██████▌ | 45983/70000 [16:16:37<8:44:08, 1.31s/step] Training: 66%|██████▌ | 45984/70000 [16:16:38<8:29:31, 1.27s/step] Training: 66%|██████▌ | 45985/70000 [16:16:40<8:35:25, 1.29s/step] Training: 66%|██████▌ | 45986/70000 [16:16:41<8:46:11, 1.31s/step] Training: 66%|██████▌ | 45987/70000 [16:16:42<8:31:08, 1.28s/step] Training: 66%|██████▌ | 45988/70000 [16:16:44<8:35:10, 1.29s/step] Training: 66%|██████▌ | 45989/70000 [16:16:45<8:38:27, 1.30s/step] Training: 66%|██████▌ | 45990/70000 [16:16:46<8:25:45, 1.26s/step] Training: 66%|██████▌ | 45991/70000 [16:16:47<8:33:58, 1.28s/step] Training: 66%|██████▌ | 45992/70000 [16:16:49<8:22:17, 1.26s/step] Training: 66%|██████▌ | 45993/70000 [16:16:50<8:30:06, 1.27s/step] Training: 66%|██████▌ | 45994/70000 [16:16:51<8:28:39, 1.27s/step] Training: 66%|██████▌ | 45995/70000 [16:16:52<8:19:17, 1.25s/step] Training: 66%|██████▌ | 45996/70000 [16:16:54<8:31:44, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=26875 Training: 66%|██████▌ | 45997/70000 [16:16:55<8:23:04, 1.26s/step] Training: 66%|██████▌ | 45998/70000 [16:16:56<8:14:47, 1.24s/step] Training: 66%|██████▌ | 45999/70000 [16:16:58<8:22:35, 1.26s/step] Training: 66%|██████▌ | 46000/70000 [16:16:59<8:14:23, 1.24s/step]INFO 2026-03-13 12:26:51 ot_train.py:435 step:46K smpl:3M ep:10K epch:38.99 loss:0.009 grdn:1.232 lr:7.3e-06 updt_s:1.241 data_s:0.018 Training: 66%|██████▌ | 46001/70000 [16:17:00<8:11:04, 1.23s/step] Training: 66%|██████▌ | 46002/70000 [16:17:01<8:23:12, 1.26s/step] Training: 66%|██████▌ | 46003/70000 [16:17:02<8:14:48, 1.24s/step] Training: 66%|██████▌ | 46004/70000 [16:17:04<8:08:43, 1.22s/step] Training: 66%|██████▌ | 46005/70000 [16:17:05<8:23:57, 1.26s/step] Training: 66%|██████▌ | 46006/70000 [16:17:06<8:14:27, 1.24s/step] Training: 66%|██████▌ | 46007/70000 [16:17:07<8:24:50, 1.26s/step] Training: 66%|██████▌ | 46008/70000 [16:17:09<8:16:25, 1.24s/step] Training: 66%|██████▌ | 46009/70000 [16:17:10<8:26:33, 1.27s/step] Training: 66%|██████▌ | 46010/70000 [16:17:11<8:34:20, 1.29s/step] Training: 66%|██████▌ | 46011/70000 [16:17:13<8:24:47, 1.26s/step] Training: 66%|██████▌ | 46012/70000 [16:17:14<8:15:26, 1.24s/step] Training: 66%|██████▌ | 46013/70000 [16:17:15<8:41:56, 1.31s/step] Training: 66%|██████▌ | 46014/70000 [16:17:16<8:27:39, 1.27s/step] Training: 66%|██████▌ | 46015/70000 [16:17:18<8:35:20, 1.29s/step] Training: 66%|██████▌ | 46016/70000 [16:17:19<8:22:58, 1.26s/step] Training: 66%|██████▌ | 46017/70000 [16:17:20<8:31:01, 1.28s/step] Training: 66%|██████▌ | 46018/70000 [16:17:22<8:42:58, 1.31s/step] Training: 66%|██████▌ | 46019/70000 [16:17:23<8:28:32, 1.27s/step] Training: 66%|██████▌ | 46020/70000 [16:17:25<10:32:31, 1.58s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 66%|██████▌ | 46021/70000 [16:17:29<15:20:01, 2.30s/step] Training: 66%|██████▌ | 46022/70000 [16:17:30<13:07:15, 1.97s/step] Training: 66%|██████▌ | 46023/70000 [16:17:32<11:57:30, 1.80s/step] Training: 66%|██████▌ | 46024/70000 [16:17:33<10:44:41, 1.61s/step] Training: 66%|██████▌ | 46025/70000 [16:17:34<10:18:26, 1.55s/step] Training: 66%|██████▌ | 46026/70000 [16:17:36<10:00:49, 1.50s/step] Training: 66%|██████▌ | 46027/70000 [16:17:37<9:23:28, 1.41s/step] Training: 66%|██████▌ | 46028/70000 [16:17:38<8:59:15, 1.35s/step] Training: 66%|██████▌ | 46029/70000 [16:17:39<8:41:45, 1.31s/step] Training: 66%|██████▌ | 46030/70000 [16:17:41<8:45:53, 1.32s/step] Training: 66%|██████▌ | 46031/70000 [16:17:42<8:54:07, 1.34s/step] Training: 66%|██████▌ | 46032/70000 [16:17:43<8:36:14, 1.29s/step] Training: 66%|██████▌ | 46033/70000 [16:17:44<8:27:27, 1.27s/step] Training: 66%|██████▌ | 46034/70000 [16:17:46<8:36:01, 1.29s/step] Training: 66%|██████▌ | 46035/70000 [16:17:47<8:23:52, 1.26s/step] Training: 66%|██████▌ | 46036/70000 [16:17:48<8:15:12, 1.24s/step] Training: 66%|██████▌ | 46037/70000 [16:17:49<8:30:57, 1.28s/step] Training: 66%|██████▌ | 46038/70000 [16:17:51<8:33:39, 1.29s/step] Training: 66%|██████▌ | 46039/70000 [16:17:52<8:29:28, 1.28s/step] Training: 66%|██████▌ | 46040/70000 [16:17:53<8:19:15, 1.25s/step] Training: 66%|██████▌ | 46041/70000 [16:17:55<8:30:23, 1.28s/step] Training: 66%|██████▌ | 46042/70000 [16:17:56<8:38:44, 1.30s/step] Training: 66%|██████▌ | 46043/70000 [16:17:57<8:25:46, 1.27s/step] Training: 66%|██████▌ | 46044/70000 [16:17:58<8:16:40, 1.24s/step] Training: 66%|██████▌ | 46045/70000 [16:18:00<8:26:22, 1.27s/step] Training: 66%|██████▌ | 46046/70000 [16:18:01<8:16:38, 1.24s/step] Training: 66%|██████▌ | 46047/70000 [16:18:02<8:29:40, 1.28s/step] Training: 66%|██████▌ | 46048/70000 [16:18:03<8:19:35, 1.25s/step] Training: 66%|██████▌ | 46049/70000 [16:18:05<8:30:28, 1.28s/step] Training: 66%|██████▌ | 46050/70000 [16:18:06<8:41:44, 1.31s/step] Training: 66%|██████▌ | 46051/70000 [16:18:07<8:28:12, 1.27s/step] Training: 66%|██████▌ | 46052/70000 [16:18:08<8:18:29, 1.25s/step] Training: 66%|██████▌ | 46053/70000 [16:18:10<8:28:20, 1.27s/step] Training: 66%|██████▌ | 46054/70000 [16:18:11<8:36:20, 1.29s/step] Training: 66%|██████▌ | 46055/70000 [16:18:12<8:39:58, 1.30s/step] Training: 66%|██████▌ | 46056/70000 [16:18:14<8:26:21, 1.27s/step] Training: 66%|██████▌ | 46057/70000 [16:18:15<8:33:20, 1.29s/step] Training: 66%|██████▌ | 46058/70000 [16:18:16<8:30:50, 1.28s/step] Training: 66%|██████▌ | 46059/70000 [16:18:17<8:20:13, 1.25s/step] Training: 66%|██████▌ | 46060/70000 [16:18:19<8:12:28, 1.23s/step] Training: 66%|██████▌ | 46061/70000 [16:18:20<8:11:41, 1.23s/step] Training: 66%|██████▌ | 46062/70000 [16:18:21<8:23:32, 1.26s/step] Training: 66%|██████▌ | 46063/70000 [16:18:23<8:38:00, 1.30s/step] Training: 66%|██████▌ | 46064/70000 [16:18:24<8:25:00, 1.27s/step] Training: 66%|██████▌ | 46065/70000 [16:18:25<8:20:05, 1.25s/step] Training: 66%|██████▌ | 46066/70000 [16:18:26<8:29:24, 1.28s/step] Training: 66%|██████▌ | 46067/70000 [16:18:27<8:19:28, 1.25s/step] Training: 66%|██████▌ | 46068/70000 [16:18:29<8:12:04, 1.23s/step] Training: 66%|██████▌ | 46069/70000 [16:18:30<8:09:07, 1.23s/step] Training: 66%|██████▌ | 46070/70000 [16:18:31<8:24:31, 1.27s/step] Training: 66%|██████▌ | 46071/70000 [16:18:32<8:23:09, 1.26s/step] Training: 66%|██████▌ | 46072/70000 [16:18:34<8:14:14, 1.24s/step] Training: 66%|██████▌ | 46073/70000 [16:18:35<8:24:33, 1.27s/step] Training: 66%|██████▌ | 46074/70000 [16:18:36<8:33:28, 1.29s/step] Training: 66%|██████▌ | 46075/70000 [16:18:38<8:22:25, 1.26s/step] Training: 66%|██████▌ | 46076/70000 [16:18:39<8:13:48, 1.24s/step] Training: 66%|██████▌ | 46077/70000 [16:18:40<8:25:38, 1.27s/step] Training: 66%|██████▌ | 46078/70000 [16:18:41<8:16:13, 1.24s/step] Training: 66%|██████▌ | 46079/70000 [16:18:43<8:36:04, 1.29s/step] Training: 66%|██████▌ | 46080/70000 [16:18:44<8:23:22, 1.26s/step] Training: 66%|██████▌ | 46081/70000 [16:18:45<8:31:08, 1.28s/step] Training: 66%|██████▌ | 46082/70000 [16:18:47<8:41:04, 1.31s/step] Training: 66%|██████▌ | 46083/70000 [16:18:48<8:27:29, 1.27s/step] Training: 66%|██████▌ | 46084/70000 [16:18:49<8:17:24, 1.25s/step] Training: 66%|██████▌ | 46085/70000 [16:18:50<8:26:17, 1.27s/step] Training: 66%|██████▌ | 46086/70000 [16:18:51<8:17:09, 1.25s/step] Training: 66%|██████▌ | 46087/70000 [16:18:53<8:42:31, 1.31s/step] Training: 66%|██████▌ | 46088/70000 [16:18:54<8:27:51, 1.27s/step] Training: 66%|██████▌ | 46089/70000 [16:18:55<8:34:19, 1.29s/step] Training: 66%|██████▌ | 46090/70000 [16:18:57<8:29:34, 1.28s/step] Training: 66%|██████▌ | 46091/70000 [16:18:58<8:19:31, 1.25s/step] Training: 66%|██████▌ | 46092/70000 [16:18:59<8:12:03, 1.23s/step] Training: 66%|██████▌ | 46093/70000 [16:19:00<8:10:39, 1.23s/step] Training: 66%|██████▌ | 46094/70000 [16:19:01<8:05:20, 1.22s/step] Training: 66%|██████▌ | 46095/70000 [16:19:03<8:06:09, 1.22s/step] Training: 66%|██████▌ | 46096/70000 [16:19:04<8:17:34, 1.25s/step] Training: 66%|██████▌ | 46097/70000 [16:19:05<8:12:37, 1.24s/step] Training: 66%|██████▌ | 46098/70000 [16:19:07<8:24:44, 1.27s/step] Training: 66%|██████▌ | 46099/70000 [16:19:08<8:15:09, 1.24s/step] Training: 66%|██████▌ | 46100/70000 [16:19:09<8:08:27, 1.23s/step]INFO 2026-03-13 12:29:01 ot_train.py:435 step:46K smpl:3M ep:10K epch:39.07 loss:0.010 grdn:0.781 lr:7.3e-06 updt_s:1.244 data_s:0.056 Training: 66%|██████▌ | 46101/70000 [16:19:10<8:07:52, 1.22s/step] Training: 66%|██████▌ | 46102/70000 [16:19:11<8:04:03, 1.22s/step] Training: 66%|██████▌ | 46103/70000 [16:19:13<8:07:16, 1.22s/step] Training: 66%|██████▌ | 46104/70000 [16:19:14<8:18:16, 1.25s/step] Training: 66%|██████▌ | 46105/70000 [16:19:15<8:26:42, 1.27s/step] Training: 66%|██████▌ | 46106/70000 [16:19:17<8:35:32, 1.29s/step] Training: 66%|██████▌ | 46107/70000 [16:19:18<8:22:59, 1.26s/step] Training: 66%|██████▌ | 46108/70000 [16:19:19<8:13:51, 1.24s/step] Training: 66%|██████▌ | 46109/70000 [16:19:20<8:07:35, 1.22s/step] Training: 66%|██████▌ | 46110/70000 [16:19:21<8:17:39, 1.25s/step] Training: 66%|██████▌ | 46111/70000 [16:19:23<8:27:05, 1.27s/step] Training: 66%|██████▌ | 46112/70000 [16:19:24<8:16:51, 1.25s/step] Training: 66%|██████▌ | 46113/70000 [16:19:25<8:27:24, 1.27s/step] Training: 66%|██████▌ | 46114/70000 [16:19:27<8:37:57, 1.30s/step] Training: 66%|██████▌ | 46115/70000 [16:19:28<8:24:35, 1.27s/step] Training: 66%|██████▌ | 46116/70000 [16:19:29<8:15:12, 1.24s/step] Training: 66%|██████▌ | 46117/70000 [16:19:30<8:08:55, 1.23s/step] Training: 66%|██████▌ | 46118/70000 [16:19:31<8:10:37, 1.23s/step] Training: 66%|██████▌ | 46119/70000 [16:19:33<8:22:09, 1.26s/step] Training: 66%|██████▌ | 46120/70000 [16:19:34<8:31:38, 1.29s/step] Training: 66%|██████▌ | 46121/70000 [16:19:35<8:36:14, 1.30s/step] Training: 66%|██████▌ | 46122/70000 [16:19:37<8:30:19, 1.28s/step] Training: 66%|██████▌ | 46123/70000 [16:19:38<8:19:06, 1.25s/step] Training: 66%|██████▌ | 46124/70000 [16:19:39<8:11:28, 1.24s/step] Training: 66%|██████▌ | 46125/70000 [16:19:40<8:05:50, 1.22s/step] Training: 66%|██████▌ | 46126/70000 [16:19:41<8:04:11, 1.22s/step] Training: 66%|██████▌ | 46127/70000 [16:19:43<8:03:03, 1.21s/step] Training: 66%|██████▌ | 46128/70000 [16:19:44<8:25:09, 1.27s/step] Training: 66%|██████▌ | 46129/70000 [16:19:45<8:18:07, 1.25s/step] Training: 66%|██████▌ | 46130/70000 [16:19:47<8:26:13, 1.27s/step] Training: 66%|██████▌ | 46131/70000 [16:19:48<8:16:30, 1.25s/step] Training: 66%|██████▌ | 46132/70000 [16:19:49<8:09:44, 1.23s/step] Training: 66%|██████▌ | 46133/70000 [16:19:50<8:04:54, 1.22s/step] Training: 66%|██████▌ | 46134/70000 [16:19:52<8:17:20, 1.25s/step] Training: 66%|██████▌ | 46135/70000 [16:19:53<8:15:21, 1.25s/step] Training: 66%|██████▌ | 46136/70000 [16:19:54<8:10:28, 1.23s/step] Training: 66%|██████▌ | 46137/70000 [16:19:55<8:33:08, 1.29s/step] Training: 66%|██████▌ | 46138/70000 [16:19:57<8:37:47, 1.30s/step] Training: 66%|██████▌ | 46139/70000 [16:19:58<8:24:59, 1.27s/step] Training: 66%|██████▌ | 46140/70000 [16:19:59<8:15:16, 1.25s/step] Training: 66%|██████▌ | 46141/70000 [16:20:00<8:09:21, 1.23s/step] Training: 66%|██████▌ | 46142/70000 [16:20:02<8:21:02, 1.26s/step] Training: 66%|██████▌ | 46143/70000 [16:20:03<8:12:25, 1.24s/step] Training: 66%|██████▌ | 46144/70000 [16:20:04<8:38:43, 1.30s/step] Training: 66%|██████▌ | 46145/70000 [16:20:06<8:41:27, 1.31s/step] Training: 66%|██████▌ | 46146/70000 [16:20:07<8:48:17, 1.33s/step] Training: 66%|██████▌ | 46147/70000 [16:20:08<8:32:08, 1.29s/step] Training: 66%|██████▌ | 46148/70000 [16:20:09<8:20:11, 1.26s/step] Training: 66%|██████▌ | 46149/70000 [16:20:11<8:15:01, 1.25s/step] Training: 66%|██████▌ | 46150/70000 [16:20:12<8:26:57, 1.28s/step] Training: 66%|██████▌ | 46151/70000 [16:20:13<8:33:18, 1.29s/step] Training: 66%|██████▌ | 46152/70000 [16:20:15<8:38:21, 1.30s/step] Training: 66%|██████▌ | 46153/70000 [16:20:16<8:51:28, 1.34s/step] Training: 66%|██████▌ | 46154/70000 [16:20:17<8:41:55, 1.31s/step] Training: 66%|██████▌ | 46155/70000 [16:20:18<8:27:15, 1.28s/step] Training: 66%|██████▌ | 46156/70000 [16:20:20<8:16:42, 1.25s/step] Training: 66%|██████▌ | 46157/70000 [16:20:21<8:09:07, 1.23s/step] Training: 66%|██████▌ | 46158/70000 [16:20:22<8:05:48, 1.22s/step] Training: 66%|██████▌ | 46159/70000 [16:20:23<8:17:54, 1.25s/step] Training: 66%|██████▌ | 46160/70000 [16:20:25<8:27:50, 1.28s/step] Training: 66%|██████▌ | 46161/70000 [16:20:26<8:35:58, 1.30s/step] Training: 66%|██████▌ | 46162/70000 [16:20:27<8:38:04, 1.30s/step] Training: 66%|██████▌ | 46163/70000 [16:20:29<8:24:16, 1.27s/step] Training: 66%|██████▌ | 46164/70000 [16:20:30<8:14:47, 1.25s/step] Training: 66%|██████▌ | 46165/70000 [16:20:31<8:08:10, 1.23s/step] Training: 66%|██████▌ | 46166/70000 [16:20:32<8:20:05, 1.26s/step] Training: 66%|██████▌ | 46167/70000 [16:20:33<8:17:28, 1.25s/step] Training: 66%|██████▌ | 46168/70000 [16:20:35<8:12:29, 1.24s/step] Training: 66%|██████▌ | 46169/70000 [16:20:36<8:22:44, 1.27s/step] Training: 66%|██████▌ | 46170/70000 [16:20:37<8:29:59, 1.28s/step] Training: 66%|██████▌ | 46171/70000 [16:20:39<8:19:55, 1.26s/step] Training: 66%|██████▌ | 46172/70000 [16:20:40<8:11:46, 1.24s/step] Training: 66%|██████▌ | 46173/70000 [16:20:41<8:06:54, 1.23s/step] Training: 66%|██████▌ | 46174/70000 [16:20:42<8:17:37, 1.25s/step] Training: 66%|██████▌ | 46175/70000 [16:20:43<8:10:05, 1.23s/step] Training: 66%|██████▌ | 46176/70000 [16:20:45<8:38:12, 1.31s/step] Training: 66%|██████▌ | 46177/70000 [16:20:46<8:45:57, 1.32s/step] Training: 66%|██████▌ | 46178/70000 [16:20:48<8:51:17, 1.34s/step] Training: 66%|██████▌ | 46179/70000 [16:20:49<8:34:28, 1.30s/step] Training: 66%|██████▌ | 46180/70000 [16:20:50<8:21:20, 1.26s/step] Training: 66%|██████▌ | 46181/70000 [16:20:51<8:12:11, 1.24s/step] Training: 66%|██████▌ | 46182/70000 [16:20:53<8:21:51, 1.26s/step] Training: 66%|██████▌ | 46183/70000 [16:20:54<8:28:48, 1.28s/step] Training: 66%|██████▌ | 46184/70000 [16:20:55<8:34:24, 1.30s/step] Training: 66%|██████▌ | 46185/70000 [16:20:57<8:38:10, 1.31s/step] Training: 66%|██████▌ | 46186/70000 [16:20:58<8:32:58, 1.29s/step] Training: 66%|██████▌ | 46187/70000 [16:20:59<8:20:42, 1.26s/step] Training: 66%|██████▌ | 46188/70000 [16:21:00<8:12:04, 1.24s/step] Training: 66%|██████▌ | 46189/70000 [16:21:01<8:07:14, 1.23s/step] Training: 66%|██████▌ | 46190/70000 [16:21:03<8:03:06, 1.22s/step] Training: 66%|██████▌ | 46191/70000 [16:21:04<8:02:04, 1.21s/step] Training: 66%|██████▌ | 46192/70000 [16:21:05<8:15:29, 1.25s/step] Training: 66%|██████▌ | 46193/70000 [16:21:06<8:10:43, 1.24s/step] Training: 66%|██████▌ | 46194/70000 [16:21:08<8:32:35, 1.29s/step] Training: 66%|██████▌ | 46195/70000 [16:21:09<8:20:45, 1.26s/step] Training: 66%|██████▌ | 46196/70000 [16:21:10<8:11:55, 1.24s/step] Training: 66%|██████▌ | 46197/70000 [16:21:11<8:06:03, 1.23s/step] Training: 66%|██████▌ | 46198/70000 [16:21:13<8:18:13, 1.26s/step] Training: 66%|██████▌ | 46199/70000 [16:21:14<8:16:55, 1.25s/step] Training: 66%|██████▌ | 46200/70000 [16:21:15<8:11:48, 1.24s/step]INFO 2026-03-13 12:31:07 ot_train.py:435 step:46K smpl:3M ep:10K epch:39.16 loss:0.009 grdn:1.116 lr:7.2e-06 updt_s:1.240 data_s:0.019 Training: 66%|██████▌ | 46201/70000 [16:21:16<8:23:51, 1.27s/step] Training: 66%|██████▌ | 46202/70000 [16:21:18<8:39:00, 1.31s/step] Training: 66%|██████▌ | 46203/70000 [16:21:19<8:25:24, 1.27s/step] Training: 66%|██████▌ | 46204/70000 [16:21:20<8:15:46, 1.25s/step] Training: 66%|██████▌ | 46205/70000 [16:21:21<8:08:51, 1.23s/step] Training: 66%|██████▌ | 46206/70000 [16:21:23<8:19:36, 1.26s/step] Training: 66%|██████▌ | 46207/70000 [16:21:24<8:11:27, 1.24s/step] Training: 66%|██████▌ | 46208/70000 [16:21:25<8:36:59, 1.30s/step] Training: 66%|██████▌ | 46209/70000 [16:21:27<8:40:28, 1.31s/step] Training: 66%|██████▌ | 46210/70000 [16:21:28<8:47:35, 1.33s/step] Training: 66%|██████▌ | 46211/70000 [16:21:29<8:30:53, 1.29s/step] Training: 66%|██████▌ | 46212/70000 [16:21:30<8:18:53, 1.26s/step] Training: 66%|██████▌ | 46213/70000 [16:21:32<8:11:29, 1.24s/step] Training: 66%|██████▌ | 46214/70000 [16:21:33<8:20:45, 1.26s/step] Training: 66%|██████▌ | 46215/70000 [16:21:34<8:29:08, 1.28s/step] Training: 66%|██████▌ | 46216/70000 [16:21:36<8:34:59, 1.30s/step] Training: 66%|██████▌ | 46217/70000 [16:21:37<8:38:00, 1.31s/step] Training: 66%|██████▌ | 46218/70000 [16:21:38<8:42:44, 1.32s/step] Training: 66%|██████▌ | 46219/70000 [16:21:40<8:46:24, 1.33s/step] Training: 66%|██████▌ | 46220/70000 [16:21:41<8:28:29, 1.28s/step] Training: 66%|██████▌ | 46221/70000 [16:21:42<8:17:08, 1.25s/step] Training: 66%|██████▌ | 46222/70000 [16:21:43<8:11:38, 1.24s/step] Training: 66%|██████▌ | 46223/70000 [16:21:44<8:08:09, 1.23s/step] Training: 66%|██████▌ | 46224/70000 [16:21:46<8:18:49, 1.26s/step] Training: 66%|██████▌ | 46225/70000 [16:21:47<8:14:28, 1.25s/step] Training: 66%|██████▌ | 46226/70000 [16:21:48<8:23:59, 1.27s/step] Training: 66%|██████▌ | 46227/70000 [16:21:50<8:24:49, 1.27s/step] Training: 66%|██████▌ | 46228/70000 [16:21:51<8:14:41, 1.25s/step] Training: 66%|██████▌ | 46229/70000 [16:21:52<8:07:40, 1.23s/step] Training: 66%|██████▌ | 46230/70000 [16:21:53<8:20:21, 1.26s/step] Training: 66%|██████▌ | 46231/70000 [16:21:55<8:18:29, 1.26s/step] Training: 66%|██████▌ | 46232/70000 [16:21:56<8:12:40, 1.24s/step] Training: 66%|██████▌ | 46233/70000 [16:21:57<8:22:06, 1.27s/step] Training: 66%|██████▌ | 46234/70000 [16:21:58<8:29:55, 1.29s/step] Training: 66%|██████▌ | 46235/70000 [16:22:00<8:38:40, 1.31s/step] Training: 66%|██████▌ | 46236/70000 [16:22:01<8:23:23, 1.27s/step] Training: 66%|██████▌ | 46237/70000 [16:22:02<8:12:58, 1.24s/step] Training: 66%|██████▌ | 46238/70000 [16:22:03<8:22:44, 1.27s/step] Training: 66%|██████▌ | 46239/70000 [16:22:05<8:13:33, 1.25s/step] Training: 66%|██████▌ | 46240/70000 [16:22:06<8:39:57, 1.31s/step] Training: 66%|██████▌ | 46241/70000 [16:22:07<8:40:44, 1.32s/step] Training: 66%|██████▌ | 46242/70000 [16:22:09<8:45:42, 1.33s/step] Training: 66%|██████▌ | 46243/70000 [16:22:10<8:50:01, 1.34s/step] Training: 66%|██████▌ | 46244/70000 [16:22:11<8:30:59, 1.29s/step] Training: 66%|██████▌ | 46245/70000 [16:22:13<8:19:42, 1.26s/step] Training: 66%|██████▌ | 46246/70000 [16:22:14<8:26:25, 1.28s/step] Training: 66%|██████▌ | 46247/70000 [16:22:15<8:16:05, 1.25s/step] Training: 66%|██████▌ | 46248/70000 [16:22:16<8:24:00, 1.27s/step] Training: 66%|██████▌ | 46249/70000 [16:22:18<8:19:04, 1.26s/step] Training: 66%|██████▌ | 46250/70000 [16:22:19<8:31:38, 1.29s/step] Training: 66%|██████▌ | 46251/70000 [16:22:20<8:19:44, 1.26s/step] Training: 66%|██████▌ | 46252/70000 [16:22:21<8:28:48, 1.29s/step] Training: 66%|██████▌ | 46253/70000 [16:22:23<8:16:04, 1.25s/step] Training: 66%|██████▌ | 46254/70000 [16:22:24<8:10:51, 1.24s/step] Training: 66%|██████▌ | 46255/70000 [16:22:25<8:10:20, 1.24s/step] Training: 66%|██████▌ | 46256/70000 [16:22:26<8:21:51, 1.27s/step] Training: 66%|██████▌ | 46257/70000 [16:22:28<8:14:02, 1.25s/step] Training: 66%|██████▌ | 46258/70000 [16:22:29<8:23:15, 1.27s/step] Training: 66%|██████▌ | 46259/70000 [16:22:30<8:13:25, 1.25s/step] Training: 66%|██████▌ | 46260/70000 [16:22:32<8:24:54, 1.28s/step] Training: 66%|██████▌ | 46261/70000 [16:22:33<8:13:21, 1.25s/step] Training: 66%|██████▌ | 46262/70000 [16:22:34<8:22:05, 1.27s/step] Training: 66%|██████▌ | 46263/70000 [16:22:35<8:17:27, 1.26s/step] Training: 66%|██████▌ | 46264/70000 [16:22:36<8:12:31, 1.24s/step] Training: 66%|██████▌ | 46265/70000 [16:22:38<8:22:52, 1.27s/step] Training: 66%|██████▌ | 46266/70000 [16:22:39<8:29:10, 1.29s/step] Training: 66%|██████▌ | 46267/70000 [16:22:40<8:17:32, 1.26s/step] Training: 66%|██████▌ | 46268/70000 [16:22:42<8:24:27, 1.28s/step] Training: 66%|██████▌ | 46269/70000 [16:22:43<8:12:51, 1.25s/step] Training: 66%|██████▌ | 46270/70000 [16:22:44<8:22:03, 1.27s/step] Training: 66%|██████▌ | 46271/70000 [16:22:45<8:12:40, 1.25s/step] Training: 66%|██████▌ | 46272/70000 [16:22:47<8:39:35, 1.31s/step] Training: 66%|██████▌ | 46273/70000 [16:22:48<8:40:50, 1.32s/step] Training: 66%|██████▌ | 46274/70000 [16:22:49<8:44:35, 1.33s/step] Training: 66%|██████▌ | 46275/70000 [16:22:51<8:28:41, 1.29s/step] Training: 66%|██████▌ | 46276/70000 [16:22:52<8:36:34, 1.31s/step] Training: 66%|██████▌ | 46277/70000 [16:22:53<8:21:05, 1.27s/step] Training: 66%|██████▌ | 46278/70000 [16:22:54<8:15:23, 1.25s/step] Training: 66%|██████▌ | 46279/70000 [16:22:56<8:07:39, 1.23s/step] Training: 66%|██████▌ | 46280/70000 [16:22:57<8:19:04, 1.26s/step] Training: 66%|██████▌ | 46281/70000 [16:22:58<8:15:32, 1.25s/step] Training: 66%|██████▌ | 46282/70000 [16:23:00<8:30:31, 1.29s/step] Training: 66%|██████▌ | 46283/70000 [16:23:01<8:18:56, 1.26s/step] Training: 66%|██████▌ | 46284/70000 [16:23:02<8:16:22, 1.26s/step] Training: 66%|██████▌ | 46285/70000 [16:23:03<8:07:14, 1.23s/step] Training: 66%|██████▌ | 46286/70000 [16:23:04<8:05:01, 1.23s/step] Training: 66%|██████▌ | 46287/70000 [16:23:06<8:04:48, 1.23s/step] Training: 66%|██████▌ | 46288/70000 [16:23:07<8:18:29, 1.26s/step] Training: 66%|██████▌ | 46289/70000 [16:23:08<8:11:47, 1.24s/step] Training: 66%|██████▌ | 46290/70000 [16:23:09<8:22:38, 1.27s/step] Training: 66%|██████▌ | 46291/70000 [16:23:11<8:13:13, 1.25s/step] Training: 66%|██████▌ | 46292/70000 [16:23:12<8:06:28, 1.23s/step] Training: 66%|██████▌ | 46293/70000 [16:23:13<8:19:22, 1.26s/step] Training: 66%|██████▌ | 46294/70000 [16:23:15<8:25:08, 1.28s/step] Training: 66%|██████▌ | 46295/70000 [16:23:16<8:19:05, 1.26s/step] Training: 66%|██████▌ | 46296/70000 [16:23:17<8:14:15, 1.25s/step] Training: 66%|██████▌ | 46297/70000 [16:23:18<8:23:17, 1.27s/step] Training: 66%|██████▌ | 46298/70000 [16:23:20<8:31:55, 1.30s/step] Training: 66%|██████▌ | 46299/70000 [16:23:21<8:19:44, 1.27s/step] Training: 66%|██████▌ | 46300/70000 [16:23:22<8:10:37, 1.24s/step]INFO 2026-03-13 12:33:14 ot_train.py:435 step:46K smpl:3M ep:10K epch:39.24 loss:0.009 grdn:0.988 lr:7.2e-06 updt_s:1.249 data_s:0.018 Training: 66%|██████▌ | 46301/70000 [16:23:23<8:18:17, 1.26s/step] Training: 66%|██████▌ | 46302/70000 [16:23:25<8:25:44, 1.28s/step] Training: 66%|██████▌ | 46303/70000 [16:23:26<8:32:45, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=72122 Training: 66%|██████▌ | 46304/70000 [16:23:27<8:37:47, 1.31s/step] Training: 66%|██████▌ | 46305/70000 [16:23:29<8:40:22, 1.32s/step] Training: 66%|██████▌ | 46306/70000 [16:23:30<8:47:04, 1.33s/step] Training: 66%|██████▌ | 46307/70000 [16:23:31<8:29:49, 1.29s/step] Training: 66%|██████▌ | 46308/70000 [16:23:32<8:18:13, 1.26s/step] Training: 66%|██████▌ | 46309/70000 [16:23:34<8:29:13, 1.29s/step] Training: 66%|██████▌ | 46310/70000 [16:23:35<8:19:17, 1.26s/step] Training: 66%|██████▌ | 46311/70000 [16:23:36<8:27:25, 1.29s/step] Training: 66%|██████▌ | 46312/70000 [16:23:38<8:33:38, 1.30s/step] Training: 66%|██████▌ | 46313/70000 [16:23:39<8:25:29, 1.28s/step] Training: 66%|██████▌ | 46314/70000 [16:23:40<8:37:49, 1.31s/step] Training: 66%|██████▌ | 46315/70000 [16:23:41<8:23:45, 1.28s/step] Training: 66%|██████▌ | 46316/70000 [16:23:43<8:14:01, 1.25s/step] Training: 66%|██████▌ | 46317/70000 [16:23:44<8:06:15, 1.23s/step] Training: 66%|██████▌ | 46318/70000 [16:23:45<8:20:12, 1.27s/step] Training: 66%|██████▌ | 46319/70000 [16:23:46<8:14:51, 1.25s/step] Training: 66%|██████▌ | 46320/70000 [16:23:48<8:24:38, 1.28s/step] Training: 66%|██████▌ | 46321/70000 [16:23:49<8:16:10, 1.26s/step] Training: 66%|██████▌ | 46322/70000 [16:23:50<8:25:47, 1.28s/step] Training: 66%|██████▌ | 46323/70000 [16:23:51<8:15:51, 1.26s/step] Training: 66%|██████▌ | 46324/70000 [16:23:53<8:07:44, 1.24s/step] Training: 66%|██████▌ | 46325/70000 [16:23:54<8:01:56, 1.22s/step] Training: 66%|██████▌ | 46326/70000 [16:23:55<8:28:45, 1.29s/step] Training: 66%|██████▌ | 46327/70000 [16:23:57<8:18:56, 1.26s/step] Training: 66%|██████▌ | 46328/70000 [16:23:58<8:13:06, 1.25s/step] Training: 66%|██████▌ | 46329/70000 [16:23:59<8:22:49, 1.27s/step] Training: 66%|██████▌ | 46330/70000 [16:24:00<8:30:07, 1.29s/step] Training: 66%|██████▌ | 46331/70000 [16:24:02<8:17:58, 1.26s/step] Training: 66%|██████▌ | 46332/70000 [16:24:03<8:09:05, 1.24s/step] Training: 66%|██████▌ | 46333/70000 [16:24:04<8:03:48, 1.23s/step] Training: 66%|██████▌ | 46334/70000 [16:24:05<8:14:40, 1.25s/step] Training: 66%|██████▌ | 46335/70000 [16:24:07<8:22:59, 1.28s/step] Training: 66%|██████▌ | 46336/70000 [16:24:08<8:28:08, 1.29s/step] Training: 66%|██████▌ | 46337/70000 [16:24:09<8:32:21, 1.30s/step] Training: 66%|██████▌ | 46338/70000 [16:24:11<8:41:06, 1.32s/step] Training: 66%|██████▌ | 46339/70000 [16:24:12<8:25:53, 1.28s/step] Training: 66%|██████▌ | 46340/70000 [16:24:13<8:14:52, 1.25s/step] Training: 66%|██████▌ | 46341/70000 [16:24:14<8:07:19, 1.24s/step] Training: 66%|██████▌ | 46342/70000 [16:24:15<8:06:09, 1.23s/step] Training: 66%|██████▌ | 46343/70000 [16:24:17<8:17:55, 1.26s/step] Training: 66%|██████▌ | 46344/70000 [16:24:18<8:27:45, 1.29s/step] Training: 66%|██████▌ | 46345/70000 [16:24:19<8:20:47, 1.27s/step] Training: 66%|██████▌ | 46346/70000 [16:24:21<8:33:26, 1.30s/step] Training: 66%|██████▌ | 46347/70000 [16:24:22<8:20:33, 1.27s/step] Training: 66%|██████▌ | 46348/70000 [16:24:23<8:10:35, 1.24s/step] Training: 66%|██████▌ | 46349/70000 [16:24:24<8:03:45, 1.23s/step] Training: 66%|██████▌ | 46350/70000 [16:24:26<8:07:07, 1.24s/step] Training: 66%|██████▌ | 46351/70000 [16:24:27<8:04:37, 1.23s/step] Training: 66%|██████▌ | 46352/70000 [16:24:28<8:15:44, 1.26s/step] Training: 66%|██████▌ | 46353/70000 [16:24:29<8:08:37, 1.24s/step] Training: 66%|██████▌ | 46354/70000 [16:24:31<8:19:22, 1.27s/step] Training: 66%|██████▌ | 46355/70000 [16:24:32<8:10:11, 1.24s/step] Training: 66%|██████▌ | 46356/70000 [16:24:33<8:03:40, 1.23s/step] Training: 66%|██████▌ | 46357/70000 [16:24:34<7:59:34, 1.22s/step] Training: 66%|██████▌ | 46358/70000 [16:24:36<8:12:45, 1.25s/step] Training: 66%|██████▌ | 46359/70000 [16:24:37<8:22:52, 1.28s/step] Training: 66%|██████▌ | 46360/70000 [16:24:38<8:14:28, 1.25s/step] Training: 66%|██████▌ | 46361/70000 [16:24:39<8:23:39, 1.28s/step] Training: 66%|██████▌ | 46362/70000 [16:24:41<8:29:34, 1.29s/step] Training: 66%|██████▌ | 46363/70000 [16:24:42<8:17:28, 1.26s/step] Training: 66%|██████▌ | 46364/70000 [16:24:43<8:08:58, 1.24s/step] Training: 66%|██████▌ | 46365/70000 [16:24:44<8:02:34, 1.23s/step] Training: 66%|██████▌ | 46366/70000 [16:24:46<8:14:14, 1.25s/step] Training: 66%|██████▌ | 46367/70000 [16:24:47<8:30:37, 1.30s/step] Training: 66%|██████▌ | 46368/70000 [16:24:48<8:36:05, 1.31s/step] Training: 66%|██████▌ | 46369/70000 [16:24:50<8:36:53, 1.31s/step] Training: 66%|██████▌ | 46370/70000 [16:24:51<8:44:36, 1.33s/step] Training: 66%|██████▌ | 46371/70000 [16:24:52<8:28:03, 1.29s/step] Training: 66%|██████▌ | 46372/70000 [16:24:53<8:16:03, 1.26s/step] Training: 66%|██████▌ | 46373/70000 [16:24:55<8:07:34, 1.24s/step] Training: 66%|██████▌ | 46374/70000 [16:24:56<8:06:37, 1.24s/step] Training: 66%|██████▋ | 46375/70000 [16:24:57<8:17:49, 1.26s/step] Training: 66%|██████▋ | 46376/70000 [16:24:59<8:41:15, 1.32s/step] Training: 66%|██████▋ | 46377/70000 [16:25:00<8:28:48, 1.29s/step] Training: 66%|██████▋ | 46378/70000 [16:25:01<8:38:18, 1.32s/step] Training: 66%|██████▋ | 46379/70000 [16:25:02<8:23:20, 1.28s/step] Training: 66%|██████▋ | 46380/70000 [16:25:04<8:12:48, 1.25s/step] Training: 66%|██████▋ | 46381/70000 [16:25:05<8:06:05, 1.23s/step] Training: 66%|██████▋ | 46382/70000 [16:25:06<8:03:28, 1.23s/step] Training: 66%|██████▋ | 46383/70000 [16:25:07<8:24:25, 1.28s/step] Training: 66%|██████▋ | 46384/70000 [16:25:09<8:28:22, 1.29s/step] Training: 66%|██████▋ | 46385/70000 [16:25:10<8:18:16, 1.27s/step] Training: 66%|██████▋ | 46386/70000 [16:25:11<8:31:30, 1.30s/step] Training: 66%|██████▋ | 46387/70000 [16:25:13<8:18:16, 1.27s/step] Training: 66%|██████▋ | 46388/70000 [16:25:14<8:09:00, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=56758 Training: 66%|██████▋ | 46389/70000 [16:25:15<8:03:15, 1.23s/step] Training: 66%|██████▋ | 46390/70000 [16:25:16<8:14:58, 1.26s/step] Training: 66%|██████▋ | 46391/70000 [16:25:17<8:10:08, 1.25s/step] Training: 66%|██████▋ | 46392/70000 [16:25:19<8:20:44, 1.27s/step] Training: 66%|██████▋ | 46393/70000 [16:25:20<8:24:59, 1.28s/step] Training: 66%|██████▋ | 46394/70000 [16:25:21<8:30:49, 1.30s/step] Training: 66%|██████▋ | 46395/70000 [16:25:23<8:17:50, 1.27s/step] Training: 66%|██████▋ | 46396/70000 [16:25:24<8:08:51, 1.24s/step] Training: 66%|██████▋ | 46397/70000 [16:25:25<8:02:12, 1.23s/step] Training: 66%|██████▋ | 46398/70000 [16:25:26<8:13:57, 1.26s/step] Training: 66%|██████▋ | 46399/70000 [16:25:28<8:22:27, 1.28s/step] Training: 66%|██████▋ | 46400/70000 [16:25:29<8:39:22, 1.32s/step]INFO 2026-03-13 12:35:21 ot_train.py:435 step:46K smpl:3M ep:10K epch:39.33 loss:0.009 grdn:1.011 lr:7.1e-06 updt_s:1.249 data_s:0.019 Training: 66%|██████▋ | 46401/70000 [16:25:30<8:40:26, 1.32s/step] Training: 66%|██████▋ | 46402/70000 [16:25:32<8:45:57, 1.34s/step] Training: 66%|██████▋ | 46403/70000 [16:25:33<8:28:29, 1.29s/step] Training: 66%|██████▋ | 46404/70000 [16:25:34<8:16:07, 1.26s/step] Training: 66%|██████▋ | 46405/70000 [16:25:35<8:07:20, 1.24s/step] Training: 66%|██████▋ | 46406/70000 [16:25:37<8:06:20, 1.24s/step] Training: 66%|██████▋ | 46407/70000 [16:25:38<8:16:36, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=72122 Training: 66%|██████▋ | 46408/70000 [16:25:39<8:23:39, 1.28s/step] Training: 66%|██████▋ | 46409/70000 [16:25:40<8:17:18, 1.26s/step] Training: 66%|██████▋ | 46410/70000 [16:25:42<8:30:37, 1.30s/step] Training: 66%|██████▋ | 46411/70000 [16:25:43<8:17:52, 1.27s/step] Training: 66%|██████▋ | 46412/70000 [16:25:44<8:08:47, 1.24s/step] Training: 66%|██████▋ | 46413/70000 [16:25:45<8:02:47, 1.23s/step] Training: 66%|██████▋ | 46414/70000 [16:25:47<8:02:55, 1.23s/step] Training: 66%|██████▋ | 46415/70000 [16:25:48<8:04:18, 1.23s/step] Training: 66%|██████▋ | 46416/70000 [16:25:49<8:19:31, 1.27s/step] Training: 66%|██████▋ | 46417/70000 [16:25:50<8:12:17, 1.25s/step] Training: 66%|██████▋ | 46418/70000 [16:25:52<8:27:19, 1.29s/step] Training: 66%|██████▋ | 46419/70000 [16:25:53<8:15:02, 1.26s/step] Training: 66%|██████▋ | 46420/70000 [16:25:54<8:06:41, 1.24s/step] Training: 66%|██████▋ | 46421/70000 [16:25:55<8:00:18, 1.22s/step] Training: 66%|██████▋ | 46422/70000 [16:25:57<7:56:02, 1.21s/step] Training: 66%|██████▋ | 46423/70000 [16:25:58<8:11:37, 1.25s/step] Training: 66%|██████▋ | 46424/70000 [16:25:59<8:23:42, 1.28s/step] Training: 66%|██████▋ | 46425/70000 [16:26:01<8:29:05, 1.30s/step] Training: 66%|██████▋ | 46426/70000 [16:26:02<8:33:44, 1.31s/step] Training: 66%|██████▋ | 46427/70000 [16:26:03<8:19:51, 1.27s/step] Training: 66%|██████▋ | 46428/70000 [16:26:04<8:09:43, 1.25s/step] Training: 66%|██████▋ | 46429/70000 [16:26:05<8:03:09, 1.23s/step] Training: 66%|██████▋ | 46430/70000 [16:26:07<7:58:52, 1.22s/step] Training: 66%|██████▋ | 46431/70000 [16:26:08<8:10:41, 1.25s/step] Training: 66%|██████▋ | 46432/70000 [16:26:09<8:19:27, 1.27s/step] Training: 66%|██████▋ | 46433/70000 [16:26:11<8:29:09, 1.30s/step] Training: 66%|██████▋ | 46434/70000 [16:26:12<8:37:15, 1.32s/step] Training: 66%|██████▋ | 46435/70000 [16:26:13<8:22:24, 1.28s/step] Training: 66%|██████▋ | 46436/70000 [16:26:14<8:11:50, 1.25s/step] Training: 66%|██████▋ | 46437/70000 [16:26:16<8:04:33, 1.23s/step] Training: 66%|██████▋ | 46438/70000 [16:26:17<8:03:07, 1.23s/step] Training: 66%|██████▋ | 46439/70000 [16:26:18<8:15:46, 1.26s/step] Training: 66%|██████▋ | 46440/70000 [16:26:19<8:25:04, 1.29s/step] Training: 66%|██████▋ | 46441/70000 [16:26:21<8:31:25, 1.30s/step] Training: 66%|██████▋ | 46442/70000 [16:26:22<8:39:52, 1.32s/step] Training: 66%|██████▋ | 46443/70000 [16:26:23<8:24:19, 1.28s/step] Training: 66%|██████▋ | 46444/70000 [16:26:25<8:13:09, 1.26s/step] Training: 66%|██████▋ | 46445/70000 [16:26:26<8:05:29, 1.24s/step] Training: 66%|██████▋ | 46446/70000 [16:26:27<8:02:17, 1.23s/step] Training: 66%|██████▋ | 46447/70000 [16:26:28<8:02:32, 1.23s/step] Training: 66%|██████▋ | 46448/70000 [16:26:30<8:14:05, 1.26s/step] Training: 66%|██████▋ | 46449/70000 [16:26:31<8:19:34, 1.27s/step] Training: 66%|██████▋ | 46450/70000 [16:26:32<8:32:33, 1.31s/step] Training: 66%|██████▋ | 46451/70000 [16:26:33<8:19:12, 1.27s/step] Training: 66%|██████▋ | 46452/70000 [16:26:35<8:09:36, 1.25s/step] Training: 66%|██████▋ | 46453/70000 [16:26:36<8:02:45, 1.23s/step] Training: 66%|██████▋ | 46454/70000 [16:26:37<8:14:12, 1.26s/step] Training: 66%|██████▋ | 46455/70000 [16:26:38<8:10:06, 1.25s/step] Training: 66%|██████▋ | 46456/70000 [16:26:40<8:05:18, 1.24s/step] Training: 66%|██████▋ | 46457/70000 [16:26:41<8:19:04, 1.27s/step] Training: 66%|██████▋ | 46458/70000 [16:26:42<8:26:51, 1.29s/step] Training: 66%|██████▋ | 46459/70000 [16:26:43<8:14:58, 1.26s/step] Training: 66%|██████▋ | 46460/70000 [16:26:45<8:06:43, 1.24s/step] Training: 66%|██████▋ | 46461/70000 [16:26:46<8:00:57, 1.23s/step] Training: 66%|██████▋ | 46462/70000 [16:26:47<8:12:17, 1.25s/step] Training: 66%|██████▋ | 46463/70000 [16:26:48<8:21:06, 1.28s/step] Training: 66%|██████▋ | 46464/70000 [16:26:50<8:27:21, 1.29s/step] Training: 66%|██████▋ | 46465/70000 [16:26:51<8:34:31, 1.31s/step] Training: 66%|██████▋ | 46466/70000 [16:26:53<8:41:16, 1.33s/step] Training: 66%|██████▋ | 46467/70000 [16:26:54<8:25:36, 1.29s/step] Training: 66%|██████▋ | 46468/70000 [16:26:55<8:13:52, 1.26s/step] Training: 66%|██████▋ | 46469/70000 [16:26:56<8:05:44, 1.24s/step] Training: 66%|██████▋ | 46470/70000 [16:26:57<8:03:49, 1.23s/step] Training: 66%|██████▋ | 46471/70000 [16:26:59<8:15:22, 1.26s/step] Training: 66%|██████▋ | 46472/70000 [16:27:00<8:24:18, 1.29s/step] Training: 66%|██████▋ | 46473/70000 [16:27:01<8:18:16, 1.27s/step] Training: 66%|██████▋ | 46474/70000 [16:27:03<8:39:28, 1.32s/step] Training: 66%|██████▋ | 46475/70000 [16:27:04<8:23:57, 1.29s/step] Training: 66%|██████▋ | 46476/70000 [16:27:05<8:13:33, 1.26s/step] Training: 66%|██████▋ | 46477/70000 [16:27:06<8:04:48, 1.24s/step] Training: 66%|██████▋ | 46478/70000 [16:27:07<8:01:08, 1.23s/step] Training: 66%|██████▋ | 46479/70000 [16:27:09<8:02:28, 1.23s/step] Training: 66%|██████▋ | 46480/70000 [16:27:10<8:14:39, 1.26s/step] Training: 66%|██████▋ | 46481/70000 [16:27:11<8:08:43, 1.25s/step] Training: 66%|██████▋ | 46482/70000 [16:27:13<8:34:34, 1.31s/step] Training: 66%|██████▋ | 46483/70000 [16:27:14<8:19:47, 1.28s/step] Training: 66%|██████▋ | 46484/70000 [16:27:15<8:09:55, 1.25s/step] Training: 66%|██████▋ | 46485/70000 [16:27:16<8:03:03, 1.23s/step] Training: 66%|██████▋ | 46486/70000 [16:27:18<8:13:27, 1.26s/step] Training: 66%|██████▋ | 46487/70000 [16:27:19<8:08:15, 1.25s/step] Training: 66%|██████▋ | 46488/70000 [16:27:20<8:03:35, 1.23s/step] Training: 66%|██████▋ | 46489/70000 [16:27:21<8:14:52, 1.26s/step] Training: 66%|██████▋ | 46490/70000 [16:27:23<8:28:56, 1.30s/step] Training: 66%|██████▋ | 46491/70000 [16:27:24<8:16:14, 1.27s/step] Training: 66%|██████▋ | 46492/70000 [16:27:25<8:06:51, 1.24s/step] Training: 66%|██████▋ | 46493/70000 [16:27:26<8:00:55, 1.23s/step] Training: 66%|██████▋ | 46494/70000 [16:27:28<8:11:23, 1.25s/step] Training: 66%|██████▋ | 46495/70000 [16:27:29<8:19:31, 1.28s/step] Training: 66%|██████▋ | 46496/70000 [16:27:30<8:25:49, 1.29s/step] Training: 66%|██████▋ | 46497/70000 [16:27:32<8:32:19, 1.31s/step] Training: 66%|██████▋ | 46498/70000 [16:27:33<8:35:37, 1.32s/step] Training: 66%|██████▋ | 46499/70000 [16:27:34<8:21:07, 1.28s/step] Training: 66%|██████▋ | 46500/70000 [16:27:35<8:10:30, 1.25s/step]INFO 2026-03-13 12:37:28 ot_train.py:435 step:46K smpl:3M ep:10K epch:39.41 loss:0.009 grdn:0.896 lr:7.1e-06 updt_s:1.242 data_s:0.019 Training: 66%|██████▋ | 46501/70000 [16:27:37<8:02:47, 1.23s/step] Training: 66%|██████▋ | 46502/70000 [16:27:38<8:02:04, 1.23s/step] Training: 66%|██████▋ | 46503/70000 [16:27:39<8:14:00, 1.26s/step] Training: 66%|██████▋ | 46504/70000 [16:27:40<8:21:34, 1.28s/step] Training: 66%|██████▋ | 46505/70000 [16:27:42<8:14:54, 1.26s/step] Training: 66%|██████▋ | 46506/70000 [16:27:43<8:26:21, 1.29s/step] Training: 66%|██████▋ | 46507/70000 [16:27:44<8:32:31, 1.31s/step] Training: 66%|██████▋ | 46508/70000 [16:27:46<8:17:23, 1.27s/step] Training: 66%|██████▋ | 46509/70000 [16:27:47<8:07:56, 1.25s/step] Training: 66%|██████▋ | 46510/70000 [16:27:48<8:03:50, 1.24s/step] Training: 66%|██████▋ | 46511/70000 [16:27:49<8:02:51, 1.23s/step] Training: 66%|██████▋ | 46512/70000 [16:27:51<8:14:55, 1.26s/step] Training: 66%|██████▋ | 46513/70000 [16:27:52<8:08:06, 1.25s/step] Training: 66%|██████▋ | 46514/70000 [16:27:53<8:09:40, 1.25s/step] Training: 66%|██████▋ | 46515/70000 [16:27:54<8:14:28, 1.26s/step] Training: 66%|██████▋ | 46516/70000 [16:27:55<8:05:46, 1.24s/step] Training: 66%|██████▋ | 46517/70000 [16:27:57<7:59:48, 1.23s/step] Training: 66%|██████▋ | 46518/70000 [16:27:58<8:10:57, 1.25s/step] Training: 66%|██████▋ | 46519/70000 [16:27:59<8:05:43, 1.24s/step] Training: 66%|██████▋ | 46520/70000 [16:28:00<8:01:51, 1.23s/step] Training: 66%|██████▋ | 46521/70000 [16:28:02<8:12:18, 1.26s/step] Training: 66%|██████▋ | 46522/70000 [16:28:03<8:20:19, 1.28s/step] Training: 66%|██████▋ | 46523/70000 [16:28:04<8:10:04, 1.25s/step] Training: 66%|██████▋ | 46524/70000 [16:28:06<8:22:05, 1.28s/step] Training: 66%|██████▋ | 46525/70000 [16:28:07<8:10:03, 1.25s/step] Training: 66%|██████▋ | 46526/70000 [16:28:08<8:19:19, 1.28s/step] Training: 66%|██████▋ | 46527/70000 [16:28:09<8:25:51, 1.29s/step] Training: 66%|██████▋ | 46528/70000 [16:28:11<8:30:04, 1.30s/step] Training: 66%|██████▋ | 46529/70000 [16:28:12<8:32:19, 1.31s/step] Training: 66%|██████▋ | 46530/70000 [16:28:13<8:39:11, 1.33s/step] Training: 66%|██████▋ | 46531/70000 [16:28:15<8:42:43, 1.34s/step] Training: 66%|██████▋ | 46532/70000 [16:28:16<8:24:23, 1.29s/step] Training: 66%|██████▋ | 46533/70000 [16:28:17<8:12:39, 1.26s/step] Training: 66%|██████▋ | 46534/70000 [16:28:18<8:10:13, 1.25s/step] Training: 66%|██████▋ | 46535/70000 [16:28:20<8:19:33, 1.28s/step] Training: 66%|██████▋ | 46536/70000 [16:28:21<8:26:03, 1.29s/step] Training: 66%|██████▋ | 46537/70000 [16:28:22<8:18:14, 1.27s/step] Training: 66%|██████▋ | 46538/70000 [16:28:24<8:30:19, 1.31s/step] Training: 66%|██████▋ | 46539/70000 [16:28:25<8:17:01, 1.27s/step] Training: 66%|██████▋ | 46540/70000 [16:28:26<8:24:29, 1.29s/step] Training: 66%|██████▋ | 46541/70000 [16:28:27<8:11:42, 1.26s/step] Training: 66%|██████▋ | 46542/70000 [16:28:29<8:05:05, 1.24s/step] Training: 66%|██████▋ | 46543/70000 [16:28:30<8:04:03, 1.24s/step] Training: 66%|██████▋ | 46544/70000 [16:28:31<8:14:53, 1.27s/step] Training: 66%|██████▋ | 46545/70000 [16:28:32<8:09:20, 1.25s/step] Training: 66%|██████▋ | 46546/70000 [16:28:34<8:23:39, 1.29s/step] Training: 66%|██████▋ | 46547/70000 [16:28:35<8:11:51, 1.26s/step] Training: 66%|██████▋ | 46548/70000 [16:28:36<8:22:22, 1.29s/step] Training: 66%|██████▋ | 46549/70000 [16:28:37<8:09:56, 1.25s/step] Training: 66%|██████▋ | 46550/70000 [16:28:39<8:19:52, 1.28s/step] Training: 67%|██████▋ | 46551/70000 [16:28:40<8:12:40, 1.26s/step] Training: 67%|██████▋ | 46552/70000 [16:28:41<8:05:57, 1.24s/step] Training: 67%|██████▋ | 46553/70000 [16:28:43<8:16:21, 1.27s/step] Training: 67%|██████▋ | 46554/70000 [16:28:44<8:23:52, 1.29s/step] Training: 67%|██████▋ | 46555/70000 [16:28:45<8:12:00, 1.26s/step] Training: 67%|██████▋ | 46556/70000 [16:28:46<8:04:41, 1.24s/step] Training: 67%|██████▋ | 46557/70000 [16:28:47<7:58:19, 1.22s/step] Training: 67%|██████▋ | 46558/70000 [16:28:49<8:10:58, 1.26s/step] Training: 67%|██████▋ | 46559/70000 [16:28:50<8:19:31, 1.28s/step] Training: 67%|██████▋ | 46560/70000 [16:28:51<8:25:07, 1.29s/step] Training: 67%|██████▋ | 46561/70000 [16:28:53<8:13:03, 1.26s/step] Training: 67%|██████▋ | 46562/70000 [16:28:54<8:34:33, 1.32s/step] Training: 67%|██████▋ | 46563/70000 [16:28:55<8:19:32, 1.28s/step] Training: 67%|██████▋ | 46564/70000 [16:28:57<8:13:07, 1.26s/step] Training: 67%|██████▋ | 46565/70000 [16:28:58<8:04:46, 1.24s/step] Training: 67%|██████▋ | 46566/70000 [16:28:59<8:03:05, 1.24s/step] Training: 67%|██████▋ | 46567/70000 [16:29:00<8:13:53, 1.26s/step] Training: 67%|██████▋ | 46568/70000 [16:29:02<8:21:36, 1.28s/step] Training: 67%|██████▋ | 46569/70000 [16:29:03<8:10:21, 1.26s/step] Training: 67%|██████▋ | 46570/70000 [16:29:04<8:34:48, 1.32s/step] Training: 67%|██████▋ | 46571/70000 [16:29:05<8:19:33, 1.28s/step] Training: 67%|██████▋ | 46572/70000 [16:29:07<8:17:25, 1.27s/step] Training: 67%|██████▋ | 46573/70000 [16:29:08<8:06:09, 1.25s/step] Training: 67%|██████▋ | 46574/70000 [16:29:09<8:01:07, 1.23s/step] Training: 67%|██████▋ | 46575/70000 [16:29:10<8:02:04, 1.23s/step] Training: 67%|██████▋ | 46576/70000 [16:29:12<8:13:26, 1.26s/step] Training: 67%|██████▋ | 46577/70000 [16:29:13<8:04:44, 1.24s/step] Training: 67%|██████▋ | 46578/70000 [16:29:14<8:20:45, 1.28s/step] Training: 67%|██████▋ | 46579/70000 [16:29:15<8:09:42, 1.25s/step] Training: 67%|██████▋ | 46580/70000 [16:29:17<8:02:42, 1.24s/step] Training: 67%|██████▋ | 46581/70000 [16:29:18<8:15:48, 1.27s/step] Training: 67%|██████▋ | 46582/70000 [16:29:19<8:21:20, 1.28s/step] Training: 67%|██████▋ | 46583/70000 [16:29:20<8:14:19, 1.27s/step] Training: 67%|██████▋ | 46584/70000 [16:29:22<8:07:19, 1.25s/step] Training: 67%|██████▋ | 46585/70000 [16:29:23<8:01:25, 1.23s/step] Training: 67%|██████▋ | 46586/70000 [16:29:24<8:24:34, 1.29s/step] Training: 67%|██████▋ | 46587/70000 [16:29:26<8:12:54, 1.26s/step] Training: 67%|██████▋ | 46588/70000 [16:29:27<8:03:52, 1.24s/step] Training: 67%|██████▋ | 46589/70000 [16:29:28<8:07:13, 1.25s/step] Training: 67%|██████▋ | 46590/70000 [16:29:29<8:15:32, 1.27s/step] Training: 67%|██████▋ | 46591/70000 [16:29:31<8:21:51, 1.29s/step] Training: 67%|██████▋ | 46592/70000 [16:29:32<8:27:02, 1.30s/step] Training: 67%|██████▋ | 46593/70000 [16:29:33<8:14:07, 1.27s/step] Training: 67%|██████▋ | 46594/70000 [16:29:35<8:26:01, 1.30s/step] Training: 67%|██████▋ | 46595/70000 [16:29:36<8:29:08, 1.31s/step] Training: 67%|██████▋ | 46596/70000 [16:29:37<8:15:10, 1.27s/step] Training: 67%|██████▋ | 46597/70000 [16:29:38<8:05:39, 1.25s/step] Training: 67%|██████▋ | 46598/70000 [16:29:40<8:17:59, 1.28s/step] Training: 67%|██████▋ | 46599/70000 [16:29:41<8:23:05, 1.29s/step] Training: 67%|██████▋ | 46600/70000 [16:29:42<8:27:09, 1.30s/step]INFO 2026-03-13 12:39:34 ot_train.py:435 step:47K smpl:3M ep:10K epch:39.50 loss:0.009 grdn:1.953 lr:7.1e-06 updt_s:1.248 data_s:0.019 Training: 67%|██████▋ | 46601/70000 [16:29:43<8:14:06, 1.27s/step] Training: 67%|██████▋ | 46602/70000 [16:29:45<8:28:14, 1.30s/step] Training: 67%|██████▋ | 46603/70000 [16:29:46<8:30:04, 1.31s/step] Training: 67%|██████▋ | 46604/70000 [16:29:47<8:16:13, 1.27s/step] Training: 67%|██████▋ | 46605/70000 [16:29:49<8:27:06, 1.30s/step] Training: 67%|██████▋ | 46606/70000 [16:29:50<8:14:48, 1.27s/step] Training: 67%|██████▋ | 46607/70000 [16:29:51<8:11:09, 1.26s/step] Training: 67%|██████▋ | 46608/70000 [16:29:52<8:18:11, 1.28s/step] Training: 67%|██████▋ | 46609/70000 [16:29:54<8:08:14, 1.25s/step] Training: 67%|██████▋ | 46610/70000 [16:29:55<8:16:38, 1.27s/step] Training: 67%|██████▋ | 46611/70000 [16:29:56<8:06:24, 1.25s/step] Training: 67%|██████▋ | 46612/70000 [16:29:57<7:59:03, 1.23s/step] Training: 67%|██████▋ | 46613/70000 [16:29:58<7:53:58, 1.22s/step] Training: 67%|██████▋ | 46614/70000 [16:30:00<8:20:20, 1.28s/step] Training: 67%|██████▋ | 46615/70000 [16:30:01<8:11:11, 1.26s/step] Training: 67%|██████▋ | 46616/70000 [16:30:02<8:05:19, 1.25s/step] Training: 67%|██████▋ | 46617/70000 [16:30:04<7:58:32, 1.23s/step] Training: 67%|██████▋ | 46618/70000 [16:30:05<8:10:32, 1.26s/step] Training: 67%|██████▋ | 46619/70000 [16:30:06<8:01:55, 1.24s/step] Training: 67%|██████▋ | 46620/70000 [16:30:07<7:56:18, 1.22s/step] Training: 67%|██████▋ | 46621/70000 [16:30:08<7:52:03, 1.21s/step] Training: 67%|██████▋ | 46622/70000 [16:30:10<8:20:14, 1.28s/step] Training: 67%|██████▋ | 46623/70000 [16:30:11<8:29:00, 1.31s/step] Training: 67%|██████▋ | 46624/70000 [16:30:12<8:17:36, 1.28s/step] Training: 67%|██████▋ | 46625/70000 [16:30:14<8:22:07, 1.29s/step] Training: 67%|██████▋ | 46626/70000 [16:30:15<8:31:53, 1.31s/step] Training: 67%|██████▋ | 46627/70000 [16:30:16<8:17:44, 1.28s/step] Training: 67%|██████▋ | 46628/70000 [16:30:18<8:07:30, 1.25s/step] Training: 67%|██████▋ | 46629/70000 [16:30:19<7:59:37, 1.23s/step] Training: 67%|██████▋ | 46630/70000 [16:30:20<7:59:44, 1.23s/step] Training: 67%|██████▋ | 46631/70000 [16:30:21<8:11:53, 1.26s/step] Training: 67%|██████▋ | 46632/70000 [16:30:22<8:03:23, 1.24s/step] Training: 67%|██████▋ | 46633/70000 [16:30:24<8:07:40, 1.25s/step] Training: 67%|██████▋ | 46634/70000 [16:30:25<8:23:38, 1.29s/step] Training: 67%|██████▋ | 46635/70000 [16:30:26<8:11:13, 1.26s/step] Training: 67%|██████▋ | 46636/70000 [16:30:27<8:03:10, 1.24s/step] Training: 67%|██████▋ | 46637/70000 [16:30:29<7:56:55, 1.22s/step] Training: 67%|██████▋ | 46638/70000 [16:30:30<8:00:53, 1.24s/step] Training: 67%|██████▋ | 46639/70000 [16:30:31<7:59:25, 1.23s/step] Training: 67%|██████▋ | 46640/70000 [16:30:32<7:54:18, 1.22s/step] Training: 67%|██████▋ | 46641/70000 [16:30:34<7:51:08, 1.21s/step] Training: 67%|██████▋ | 46642/70000 [16:30:35<8:06:28, 1.25s/step] Training: 67%|██████▋ | 46643/70000 [16:30:36<7:59:19, 1.23s/step] Training: 67%|██████▋ | 46644/70000 [16:30:37<7:54:03, 1.22s/step] Training: 67%|██████▋ | 46645/70000 [16:30:38<7:50:38, 1.21s/step] Training: 67%|██████▋ | 46646/70000 [16:30:40<8:05:24, 1.25s/step] Training: 67%|██████▋ | 46647/70000 [16:30:41<8:01:10, 1.24s/step] Training: 67%|██████▋ | 46648/70000 [16:30:42<7:55:35, 1.22s/step] Training: 67%|██████▋ | 46649/70000 [16:30:44<8:08:05, 1.25s/step] Training: 67%|██████▋ | 46650/70000 [16:30:45<8:17:00, 1.28s/step] Training: 67%|██████▋ | 46651/70000 [16:30:46<8:06:43, 1.25s/step] Training: 67%|██████▋ | 46652/70000 [16:30:47<7:59:28, 1.23s/step] Training: 67%|██████▋ | 46653/70000 [16:30:48<7:54:12, 1.22s/step] Training: 67%|██████▋ | 46654/70000 [16:30:50<8:06:34, 1.25s/step] Training: 67%|██████▋ | 46655/70000 [16:30:51<8:29:18, 1.31s/step] Training: 67%|██████▋ | 46656/70000 [16:30:52<8:14:57, 1.27s/step] Training: 67%|██████▋ | 46657/70000 [16:30:54<8:21:06, 1.29s/step] Training: 67%|██████▋ | 46658/70000 [16:30:55<8:30:20, 1.31s/step] Training: 67%|██████▋ | 46659/70000 [16:30:56<8:17:30, 1.28s/step] Training: 67%|██████▋ | 46660/70000 [16:30:57<8:07:02, 1.25s/step] Training: 67%|██████▋ | 46661/70000 [16:30:59<7:59:55, 1.23s/step] Training: 67%|██████▋ | 46662/70000 [16:31:00<7:59:15, 1.23s/step] Training: 67%|██████▋ | 46663/70000 [16:31:01<8:21:24, 1.29s/step] Training: 67%|██████▋ | 46664/70000 [16:31:02<8:09:32, 1.26s/step] Training: 67%|██████▋ | 46665/70000 [16:31:04<8:06:50, 1.25s/step] Training: 67%|██████▋ | 46666/70000 [16:31:05<8:09:51, 1.26s/step] Training: 67%|██████▋ | 46667/70000 [16:31:06<8:01:32, 1.24s/step] Training: 67%|██████▋ | 46668/70000 [16:31:07<7:55:42, 1.22s/step] Training: 67%|██████▋ | 46669/70000 [16:31:09<7:51:29, 1.21s/step] Training: 67%|██████▋ | 46670/70000 [16:31:10<7:52:13, 1.21s/step] Training: 67%|██████▋ | 46671/70000 [16:31:11<8:12:38, 1.27s/step] Training: 67%|██████▋ | 46672/70000 [16:31:12<8:02:07, 1.24s/step] Training: 67%|██████▋ | 46673/70000 [16:31:14<7:55:46, 1.22s/step] Training: 67%|██████▋ | 46674/70000 [16:31:15<8:21:52, 1.29s/step] Training: 67%|██████▋ | 46675/70000 [16:31:16<8:09:49, 1.26s/step] Training: 67%|██████▋ | 46676/70000 [16:31:17<8:02:01, 1.24s/step] Training: 67%|██████▋ | 46677/70000 [16:31:19<7:56:30, 1.23s/step] Training: 67%|██████▋ | 46678/70000 [16:31:20<8:08:55, 1.26s/step] Training: 67%|██████▋ | 46679/70000 [16:31:21<8:21:06, 1.29s/step] Training: 67%|██████▋ | 46680/70000 [16:31:22<8:08:27, 1.26s/step] Training: 67%|██████▋ | 46681/70000 [16:31:24<8:16:44, 1.28s/step] Training: 67%|██████▋ | 46682/70000 [16:31:25<8:22:09, 1.29s/step] Training: 67%|██████▋ | 46683/70000 [16:31:26<8:11:14, 1.26s/step] Training: 67%|██████▋ | 46684/70000 [16:31:27<8:02:27, 1.24s/step] Training: 67%|██████▋ | 46685/70000 [16:31:29<7:56:23, 1.23s/step] Training: 67%|██████▋ | 46686/70000 [16:31:30<8:08:13, 1.26s/step] Training: 67%|██████▋ | 46687/70000 [16:31:31<8:16:51, 1.28s/step] Training: 67%|██████▋ | 46688/70000 [16:31:33<8:24:20, 1.30s/step] Training: 67%|██████▋ | 46689/70000 [16:31:34<8:27:39, 1.31s/step] Training: 67%|██████▋ | 46690/70000 [16:31:35<8:34:57, 1.33s/step] Training: 67%|██████▋ | 46691/70000 [16:31:37<8:19:26, 1.29s/step] Training: 67%|██████▋ | 46692/70000 [16:31:38<8:08:29, 1.26s/step] Training: 67%|██████▋ | 46693/70000 [16:31:39<8:00:19, 1.24s/step] Training: 67%|██████▋ | 46694/70000 [16:31:40<7:58:52, 1.23s/step] Training: 67%|██████▋ | 46695/70000 [16:31:41<8:10:24, 1.26s/step] Training: 67%|██████▋ | 46696/70000 [16:31:43<8:19:37, 1.29s/step] Training: 67%|██████▋ | 46697/70000 [16:31:44<8:11:12, 1.26s/step] Training: 67%|██████▋ | 46698/70000 [16:31:45<8:23:55, 1.30s/step] Training: 67%|██████▋ | 46699/70000 [16:31:47<8:11:37, 1.27s/step] Training: 67%|██████▋ | 46700/70000 [16:31:48<8:02:49, 1.24s/step]INFO 2026-03-13 12:41:40 ot_train.py:435 step:47K smpl:3M ep:10K epch:39.58 loss:0.009 grdn:0.795 lr:7.0e-06 updt_s:1.235 data_s:0.019 Training: 67%|██████▋ | 46701/70000 [16:31:49<7:56:21, 1.23s/step] Training: 67%|██████▋ | 46702/70000 [16:31:50<7:53:48, 1.22s/step] Training: 67%|██████▋ | 46703/70000 [16:31:51<7:54:54, 1.22s/step] Training: 67%|██████▋ | 46704/70000 [16:31:53<7:55:47, 1.23s/step] Training: 67%|██████▋ | 46705/70000 [16:31:54<7:51:00, 1.21s/step] Training: 67%|██████▋ | 46706/70000 [16:31:55<8:16:54, 1.28s/step] Training: 67%|██████▋ | 46707/70000 [16:31:56<8:06:24, 1.25s/step] Training: 67%|██████▋ | 46708/70000 [16:31:58<7:59:23, 1.23s/step] Training: 67%|██████▋ | 46709/70000 [16:31:59<7:53:13, 1.22s/step] Training: 67%|██████▋ | 46710/70000 [16:32:00<8:05:28, 1.25s/step] Training: 67%|██████▋ | 46711/70000 [16:32:01<8:00:20, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=72122 Training: 67%|██████▋ | 46712/70000 [16:32:03<8:02:34, 1.24s/step] Training: 67%|██████▋ | 46713/70000 [16:32:04<8:11:45, 1.27s/step] Training: 67%|██████▋ | 46714/70000 [16:32:05<8:19:49, 1.29s/step] Training: 67%|██████▋ | 46715/70000 [16:32:06<8:08:30, 1.26s/step] Training: 67%|██████▋ | 46716/70000 [16:32:08<8:00:14, 1.24s/step] Training: 67%|██████▋ | 46717/70000 [16:32:09<7:54:33, 1.22s/step] Training: 67%|██████▋ | 46718/70000 [16:32:10<8:07:46, 1.26s/step] Training: 67%|██████▋ | 46719/70000 [16:32:12<8:16:32, 1.28s/step] Training: 67%|██████▋ | 46720/70000 [16:32:13<8:05:51, 1.25s/step] Training: 67%|██████▋ | 46721/70000 [16:32:14<8:14:55, 1.28s/step] Training: 67%|██████▋ | 46722/70000 [16:32:15<8:25:03, 1.30s/step] Training: 67%|██████▋ | 46723/70000 [16:32:17<8:11:54, 1.27s/step] Training: 67%|██████▋ | 46724/70000 [16:32:18<8:02:47, 1.24s/step] Training: 67%|██████▋ | 46725/70000 [16:32:19<7:55:57, 1.23s/step] Training: 67%|██████▋ | 46726/70000 [16:32:20<7:55:26, 1.23s/step] Training: 67%|██████▋ | 46727/70000 [16:32:22<8:07:35, 1.26s/step] Training: 67%|██████▋ | 46728/70000 [16:32:23<8:00:02, 1.24s/step] Training: 67%|██████▋ | 46729/70000 [16:32:24<8:03:15, 1.25s/step] Training: 67%|██████▋ | 46730/70000 [16:32:25<8:18:11, 1.28s/step] Training: 67%|██████▋ | 46731/70000 [16:32:27<8:07:33, 1.26s/step] Training: 67%|██████▋ | 46732/70000 [16:32:28<7:59:30, 1.24s/step] Training: 67%|██████▋ | 46733/70000 [16:32:29<7:54:38, 1.22s/step] Training: 67%|██████▋ | 46734/70000 [16:32:30<7:53:01, 1.22s/step] Training: 67%|██████▋ | 46735/70000 [16:32:31<7:54:04, 1.22s/step] Training: 67%|██████▋ | 46736/70000 [16:32:33<7:50:05, 1.21s/step] Training: 67%|██████▋ | 46737/70000 [16:32:34<8:03:07, 1.25s/step] Training: 67%|██████▋ | 46738/70000 [16:32:35<8:26:55, 1.31s/step] Training: 67%|██████▋ | 46739/70000 [16:32:37<8:12:57, 1.27s/step] Training: 67%|██████▋ | 46740/70000 [16:32:38<8:03:28, 1.25s/step] Training: 67%|██████▋ | 46741/70000 [16:32:39<7:56:28, 1.23s/step] Training: 67%|██████▋ | 46742/70000 [16:32:40<8:08:03, 1.26s/step] Training: 67%|██████▋ | 46743/70000 [16:32:41<8:02:13, 1.24s/step] Training: 67%|██████▋ | 46744/70000 [16:32:43<7:55:16, 1.23s/step] Training: 67%|██████▋ | 46745/70000 [16:32:44<8:10:39, 1.27s/step] Training: 67%|██████▋ | 46746/70000 [16:32:45<8:18:45, 1.29s/step] Training: 67%|██████▋ | 46747/70000 [16:32:47<8:07:20, 1.26s/step] Training: 67%|██████▋ | 46748/70000 [16:32:48<7:59:02, 1.24s/step] Training: 67%|██████▋ | 46749/70000 [16:32:49<7:53:24, 1.22s/step] Training: 67%|██████▋ | 46750/70000 [16:32:50<8:05:49, 1.25s/step] Training: 67%|██████▋ | 46751/70000 [16:32:52<8:14:11, 1.28s/step] Training: 67%|██████▋ | 46752/70000 [16:32:53<8:04:08, 1.25s/step] Training: 67%|██████▋ | 46753/70000 [16:32:54<8:01:51, 1.24s/step] Training: 67%|██████▋ | 46754/70000 [16:32:55<8:26:05, 1.31s/step] Training: 67%|██████▋ | 46755/70000 [16:32:57<8:12:42, 1.27s/step] Training: 67%|██████▋ | 46756/70000 [16:32:58<8:02:55, 1.25s/step] Training: 67%|██████▋ | 46757/70000 [16:32:59<7:56:18, 1.23s/step] Training: 67%|██████▋ | 46758/70000 [16:33:00<7:56:43, 1.23s/step] Training: 67%|██████▋ | 46759/70000 [16:33:02<8:07:43, 1.26s/step] Training: 67%|██████▋ | 46760/70000 [16:33:03<7:59:37, 1.24s/step] Training: 67%|██████▋ | 46761/70000 [16:33:04<7:56:50, 1.23s/step] Training: 67%|██████▋ | 46762/70000 [16:33:05<8:19:06, 1.29s/step] Training: 67%|██████▋ | 46763/70000 [16:33:07<8:07:31, 1.26s/step] Training: 67%|██████▋ | 46764/70000 [16:33:08<7:59:36, 1.24s/step] Training: 67%|██████▋ | 46765/70000 [16:33:09<7:54:02, 1.22s/step] Training: 67%|██████▋ | 46766/70000 [16:33:10<7:52:23, 1.22s/step] Training: 67%|██████▋ | 46767/70000 [16:33:11<7:52:58, 1.22s/step] Training: 67%|██████▋ | 46768/70000 [16:33:13<7:48:50, 1.21s/step] Training: 67%|██████▋ | 46769/70000 [16:33:14<8:02:42, 1.25s/step] Training: 67%|██████▋ | 46770/70000 [16:33:15<8:11:45, 1.27s/step] Training: 67%|██████▋ | 46771/70000 [16:33:16<8:02:29, 1.25s/step] Training: 67%|██████▋ | 46772/70000 [16:33:18<7:55:36, 1.23s/step] Training: 67%|██████▋ | 46773/70000 [16:33:19<7:51:27, 1.22s/step] Training: 67%|██████▋ | 46774/70000 [16:33:20<8:04:30, 1.25s/step] Training: 67%|██████▋ | 46775/70000 [16:33:21<7:59:54, 1.24s/step] Training: 67%|██████▋ | 46776/70000 [16:33:23<7:53:50, 1.22s/step] Training: 67%|██████▋ | 46777/70000 [16:33:24<8:05:49, 1.26s/step] Training: 67%|██████▋ | 46778/70000 [16:33:25<8:21:52, 1.30s/step] Training: 67%|██████▋ | 46779/70000 [16:33:26<8:10:01, 1.27s/step] Training: 67%|██████▋ | 46780/70000 [16:33:28<8:01:02, 1.24s/step] Training: 67%|██████▋ | 46781/70000 [16:33:29<7:55:01, 1.23s/step] Training: 67%|██████▋ | 46782/70000 [16:33:30<8:05:39, 1.26s/step] Training: 67%|██████▋ | 46783/70000 [16:33:31<8:14:18, 1.28s/step] Training: 67%|██████▋ | 46784/70000 [16:33:33<8:04:01, 1.25s/step] Training: 67%|██████▋ | 46785/70000 [16:33:34<8:02:00, 1.25s/step] Training: 67%|██████▋ | 46786/70000 [16:33:35<8:15:28, 1.28s/step] Training: 67%|██████▋ | 46787/70000 [16:33:36<8:04:55, 1.25s/step] Training: 67%|██████▋ | 46788/70000 [16:33:38<7:57:19, 1.23s/step] Training: 67%|██████▋ | 46789/70000 [16:33:39<7:52:36, 1.22s/step] Training: 67%|██████▋ | 46790/70000 [16:33:40<7:53:18, 1.22s/step] Training: 67%|██████▋ | 46791/70000 [16:33:41<8:05:51, 1.26s/step] Training: 67%|██████▋ | 46792/70000 [16:33:43<7:58:09, 1.24s/step] Training: 67%|██████▋ | 46793/70000 [16:33:44<7:54:30, 1.23s/step] Training: 67%|██████▋ | 46794/70000 [16:33:45<7:56:13, 1.23s/step] Training: 67%|██████▋ | 46795/70000 [16:33:46<8:09:59, 1.27s/step] Training: 67%|██████▋ | 46796/70000 [16:33:48<8:00:20, 1.24s/step] Training: 67%|██████▋ | 46797/70000 [16:33:49<7:54:23, 1.23s/step] Training: 67%|██████▋ | 46798/70000 [16:33:50<7:52:12, 1.22s/step] Training: 67%|██████▋ | 46799/70000 [16:33:51<7:54:40, 1.23s/step] Training: 67%|██████▋ | 46800/70000 [16:33:52<7:50:18, 1.22s/step]INFO 2026-03-13 12:43:45 ot_train.py:435 step:47K smpl:3M ep:10K epch:39.67 loss:0.010 grdn:1.137 lr:7.0e-06 updt_s:1.225 data_s:0.019 Training: 67%|██████▋ | 46801/70000 [16:33:54<8:03:27, 1.25s/step] Training: 67%|██████▋ | 46802/70000 [16:33:55<8:12:27, 1.27s/step] Training: 67%|██████▋ | 46803/70000 [16:33:56<8:13:46, 1.28s/step] Training: 67%|██████▋ | 46804/70000 [16:33:58<8:03:36, 1.25s/step] Training: 67%|██████▋ | 46805/70000 [16:33:59<7:56:55, 1.23s/step] Training: 67%|██████▋ | 46806/70000 [16:34:00<8:07:31, 1.26s/step] Training: 67%|██████▋ | 46807/70000 [16:34:01<8:03:03, 1.25s/step] Training: 67%|██████▋ | 46808/70000 [16:34:02<7:57:32, 1.24s/step] Training: 67%|██████▋ | 46809/70000 [16:34:04<8:08:50, 1.26s/step] Training: 67%|██████▋ | 46810/70000 [16:34:05<8:17:01, 1.29s/step] Training: 67%|██████▋ | 46811/70000 [16:34:06<8:27:09, 1.31s/step] Training: 67%|██████▋ | 46812/70000 [16:34:08<8:12:00, 1.27s/step] Training: 67%|██████▋ | 46813/70000 [16:34:09<8:02:09, 1.25s/step] Training: 67%|██████▋ | 46814/70000 [16:34:10<8:12:20, 1.27s/step] Training: 67%|██████▋ | 46815/70000 [16:34:12<8:21:26, 1.30s/step] Training: 67%|██████▋ | 46816/70000 [16:34:13<8:08:43, 1.26s/step] Training: 67%|██████▋ | 46817/70000 [16:34:14<8:05:42, 1.26s/step] Training: 67%|██████▋ | 46818/70000 [16:34:15<8:07:37, 1.26s/step] Training: 67%|██████▋ | 46819/70000 [16:34:17<8:19:38, 1.29s/step] Training: 67%|██████▋ | 46820/70000 [16:34:18<8:06:39, 1.26s/step] Training: 67%|██████▋ | 46821/70000 [16:34:19<7:59:11, 1.24s/step] Training: 67%|██████▋ | 46822/70000 [16:34:20<7:58:04, 1.24s/step] Training: 67%|██████▋ | 46823/70000 [16:34:22<8:10:24, 1.27s/step] Training: 67%|██████▋ | 46824/70000 [16:34:23<8:00:52, 1.24s/step] Training: 67%|██████▋ | 46825/70000 [16:34:24<7:56:57, 1.23s/step] Training: 67%|██████▋ | 46826/70000 [16:34:25<7:58:30, 1.24s/step] Training: 67%|██████▋ | 46827/70000 [16:34:27<8:06:43, 1.26s/step] Training: 67%|██████▋ | 46828/70000 [16:34:28<8:16:25, 1.29s/step] Training: 67%|██████▋ | 46829/70000 [16:34:29<8:04:10, 1.25s/step] Training: 67%|██████▋ | 46830/70000 [16:34:30<7:59:13, 1.24s/step] Training: 67%|██████▋ | 46831/70000 [16:34:31<7:57:41, 1.24s/step] Training: 67%|██████▋ | 46832/70000 [16:34:33<7:51:59, 1.22s/step] Training: 67%|██████▋ | 46833/70000 [16:34:34<7:48:07, 1.21s/step] Training: 67%|██████▋ | 46834/70000 [16:34:35<8:15:30, 1.28s/step] Training: 67%|██████▋ | 46835/70000 [16:34:37<8:04:58, 1.26s/step] Training: 67%|██████▋ | 46836/70000 [16:34:38<8:14:49, 1.28s/step] Training: 67%|██████▋ | 46837/70000 [16:34:39<8:03:25, 1.25s/step] Training: 67%|██████▋ | 46838/70000 [16:34:40<8:13:21, 1.28s/step] Training: 67%|██████▋ | 46839/70000 [16:34:42<8:05:14, 1.26s/step] Training: 67%|██████▋ | 46840/70000 [16:34:43<7:57:14, 1.24s/step] Training: 67%|██████▋ | 46841/70000 [16:34:44<7:51:55, 1.22s/step] Training: 67%|██████▋ | 46842/70000 [16:34:45<8:10:54, 1.27s/step] Training: 67%|██████▋ | 46843/70000 [16:34:47<8:16:13, 1.29s/step] Training: 67%|██████▋ | 46844/70000 [16:34:48<8:22:28, 1.30s/step] Training: 67%|██████▋ | 46845/70000 [16:34:49<8:08:27, 1.27s/step] Training: 67%|██████▋ | 46846/70000 [16:34:51<8:15:34, 1.28s/step] Training: 67%|██████▋ | 46847/70000 [16:34:52<8:21:08, 1.30s/step] Training: 67%|██████▋ | 46848/70000 [16:34:53<8:08:34, 1.27s/step] Training: 67%|██████▋ | 46849/70000 [16:34:54<7:59:18, 1.24s/step] Training: 67%|██████▋ | 46850/70000 [16:34:56<8:14:45, 1.28s/step] Training: 67%|██████▋ | 46851/70000 [16:34:57<8:18:21, 1.29s/step] Training: 67%|██████▋ | 46852/70000 [16:34:58<8:25:36, 1.31s/step] Training: 67%|██████▋ | 46853/70000 [16:34:59<8:10:19, 1.27s/step] Training: 67%|██████▋ | 46854/70000 [16:35:01<8:05:19, 1.26s/step] Training: 67%|██████▋ | 46855/70000 [16:35:02<8:13:47, 1.28s/step] Training: 67%|██████▋ | 46856/70000 [16:35:03<8:03:30, 1.25s/step] Training: 67%|██████▋ | 46857/70000 [16:35:04<7:56:16, 1.23s/step] Training: 67%|██████▋ | 46858/70000 [16:35:06<8:13:41, 1.28s/step] Training: 67%|██████▋ | 46859/70000 [16:35:07<8:02:43, 1.25s/step] Training: 67%|██████▋ | 46860/70000 [16:35:08<8:01:12, 1.25s/step] Training: 67%|██████▋ | 46861/70000 [16:35:09<7:53:22, 1.23s/step] Training: 67%|██████▋ | 46862/70000 [16:35:11<7:52:00, 1.22s/step] Training: 67%|██████▋ | 46863/70000 [16:35:12<7:52:14, 1.22s/step] Training: 67%|██████▋ | 46864/70000 [16:35:13<7:47:51, 1.21s/step] Training: 67%|██████▋ | 46865/70000 [16:35:14<7:44:47, 1.21s/step] Training: 67%|██████▋ | 46866/70000 [16:35:16<8:00:28, 1.25s/step] Training: 67%|██████▋ | 46867/70000 [16:35:17<8:07:22, 1.26s/step] Training: 67%|██████▋ | 46868/70000 [16:35:18<7:58:31, 1.24s/step] Training: 67%|██████▋ | 46869/70000 [16:35:19<8:10:03, 1.27s/step] Training: 67%|██████▋ | 46870/70000 [16:35:21<8:16:20, 1.29s/step] Training: 67%|██████▋ | 46871/70000 [16:35:22<8:07:30, 1.26s/step] Training: 67%|██████▋ | 46872/70000 [16:35:23<7:58:40, 1.24s/step] Training: 67%|██████▋ | 46873/70000 [16:35:24<7:52:40, 1.23s/step] Training: 67%|██████▋ | 46874/70000 [16:35:26<8:09:49, 1.27s/step] Training: 67%|██████▋ | 46875/70000 [16:35:27<8:15:20, 1.29s/step] Training: 67%|██████▋ | 46876/70000 [16:35:28<8:04:08, 1.26s/step] Training: 67%|██████▋ | 46877/70000 [16:35:29<8:09:27, 1.27s/step] Training: 67%|██████▋ | 46878/70000 [16:35:31<8:16:05, 1.29s/step] Training: 67%|██████▋ | 46879/70000 [16:35:32<8:20:16, 1.30s/step] Training: 67%|██████▋ | 46880/70000 [16:35:33<8:07:33, 1.27s/step] Training: 67%|██████▋ | 46881/70000 [16:35:34<7:58:33, 1.24s/step] Training: 67%|██████▋ | 46882/70000 [16:35:36<8:12:00, 1.28s/step] Training: 67%|██████▋ | 46883/70000 [16:35:37<8:03:43, 1.26s/step] Training: 67%|██████▋ | 46884/70000 [16:35:38<7:55:50, 1.24s/step] Training: 67%|██████▋ | 46885/70000 [16:35:40<8:09:59, 1.27s/step] Training: 67%|██████▋ | 46886/70000 [16:35:41<8:03:13, 1.25s/step] Training: 67%|██████▋ | 46887/70000 [16:35:42<8:12:21, 1.28s/step] Training: 67%|██████▋ | 46888/70000 [16:35:43<8:01:59, 1.25s/step] Training: 67%|██████▋ | 46889/70000 [16:35:45<7:55:33, 1.23s/step] Training: 67%|██████▋ | 46890/70000 [16:35:46<8:13:18, 1.28s/step] Training: 67%|██████▋ | 46891/70000 [16:35:47<8:19:10, 1.30s/step] Training: 67%|██████▋ | 46892/70000 [16:35:48<8:06:54, 1.26s/step] Training: 67%|██████▋ | 46893/70000 [16:35:50<7:57:45, 1.24s/step] Training: 67%|██████▋ | 46894/70000 [16:35:51<8:09:52, 1.27s/step] Training: 67%|██████▋ | 46895/70000 [16:35:52<8:05:10, 1.26s/step] Training: 67%|██████▋ | 46896/70000 [16:35:53<7:56:41, 1.24s/step] Training: 67%|██████▋ | 46897/70000 [16:35:55<7:51:20, 1.22s/step] Training: 67%|██████▋ | 46898/70000 [16:35:56<8:03:55, 1.26s/step] Training: 67%|██████▋ | 46899/70000 [16:35:57<8:22:21, 1.30s/step] Training: 67%|██████▋ | 46900/70000 [16:35:59<8:08:55, 1.27s/step]INFO 2026-03-13 12:45:51 ot_train.py:435 step:47K smpl:3M ep:10K epch:39.75 loss:0.009 grdn:0.889 lr:6.9e-06 updt_s:1.241 data_s:0.019 Training: 67%|██████▋ | 46901/70000 [16:36:00<8:00:16, 1.25s/step] Training: 67%|██████▋ | 46902/70000 [16:36:01<8:23:46, 1.31s/step] Training: 67%|██████▋ | 46903/70000 [16:36:02<8:12:40, 1.28s/step] Training: 67%|██████▋ | 46904/70000 [16:36:04<8:02:17, 1.25s/step] Training: 67%|██████▋ | 46905/70000 [16:36:05<7:54:50, 1.23s/step] Training: 67%|██████▋ | 46906/70000 [16:36:06<8:11:28, 1.28s/step] Training: 67%|██████▋ | 46907/70000 [16:36:08<8:24:39, 1.31s/step] Training: 67%|██████▋ | 46908/70000 [16:36:09<8:10:11, 1.27s/step] Training: 67%|██████▋ | 46909/70000 [16:36:10<8:00:16, 1.25s/step] Training: 67%|██████▋ | 46910/70000 [16:36:11<8:08:58, 1.27s/step] Training: 67%|██████▋ | 46911/70000 [16:36:13<8:15:55, 1.29s/step] Training: 67%|██████▋ | 46912/70000 [16:36:14<8:04:20, 1.26s/step] Training: 67%|██████▋ | 46913/70000 [16:36:15<7:56:11, 1.24s/step] Training: 67%|██████▋ | 46914/70000 [16:36:16<8:05:39, 1.26s/step] Training: 67%|██████▋ | 46915/70000 [16:36:17<8:00:38, 1.25s/step] Training: 67%|██████▋ | 46916/70000 [16:36:19<7:53:50, 1.23s/step] Training: 67%|██████▋ | 46917/70000 [16:36:20<7:48:54, 1.22s/step] Training: 67%|██████▋ | 46918/70000 [16:36:21<7:50:38, 1.22s/step] Training: 67%|██████▋ | 46919/70000 [16:36:22<8:03:11, 1.26s/step] Training: 67%|██████▋ | 46920/70000 [16:36:24<7:55:38, 1.24s/step] Training: 67%|██████▋ | 46921/70000 [16:36:25<7:50:49, 1.22s/step] Training: 67%|██████▋ | 46922/70000 [16:36:26<8:06:22, 1.26s/step] Training: 67%|██████▋ | 46923/70000 [16:36:27<8:13:07, 1.28s/step] Training: 67%|██████▋ | 46924/70000 [16:36:29<8:02:30, 1.25s/step] Training: 67%|██████▋ | 46925/70000 [16:36:30<7:55:12, 1.24s/step] Training: 67%|██████▋ | 46926/70000 [16:36:31<7:56:34, 1.24s/step] Training: 67%|██████▋ | 46927/70000 [16:36:32<7:54:17, 1.23s/step] Training: 67%|██████▋ | 46928/70000 [16:36:34<7:49:04, 1.22s/step] Training: 67%|██████▋ | 46929/70000 [16:36:35<7:45:39, 1.21s/step] Training: 67%|██████▋ | 46930/70000 [16:36:36<7:59:46, 1.25s/step] Training: 67%|██████▋ | 46931/70000 [16:36:37<8:09:09, 1.27s/step] Training: 67%|██████▋ | 46932/70000 [16:36:39<7:59:28, 1.25s/step] Training: 67%|██████▋ | 46933/70000 [16:36:40<7:52:51, 1.23s/step] Training: 67%|██████▋ | 46934/70000 [16:36:41<8:04:23, 1.26s/step] Training: 67%|██████▋ | 46935/70000 [16:36:42<8:15:19, 1.29s/step] Training: 67%|██████▋ | 46936/70000 [16:36:44<8:02:50, 1.26s/step] Training: 67%|██████▋ | 46937/70000 [16:36:45<7:55:14, 1.24s/step] Training: 67%|██████▋ | 46938/70000 [16:36:46<8:12:26, 1.28s/step] Training: 67%|██████▋ | 46939/70000 [16:36:48<8:21:48, 1.31s/step] Training: 67%|██████▋ | 46940/70000 [16:36:49<8:08:41, 1.27s/step] Training: 67%|██████▋ | 46941/70000 [16:36:50<7:59:27, 1.25s/step] Training: 67%|██████▋ | 46942/70000 [16:36:51<8:08:51, 1.27s/step] Training: 67%|██████▋ | 46943/70000 [16:36:53<8:25:00, 1.31s/step] Training: 67%|██████▋ | 46944/70000 [16:36:54<8:10:46, 1.28s/step] Training: 67%|██████▋ | 46945/70000 [16:36:55<8:00:43, 1.25s/step] Training: 67%|██████▋ | 46946/70000 [16:36:56<8:10:27, 1.28s/step] Training: 67%|██████▋ | 46947/70000 [16:36:58<8:02:39, 1.26s/step] Training: 67%|██████▋ | 46948/70000 [16:36:59<7:55:21, 1.24s/step] Training: 67%|██████▋ | 46949/70000 [16:37:00<7:50:02, 1.22s/step] Training: 67%|██████▋ | 46950/70000 [16:37:01<7:51:37, 1.23s/step] Training: 67%|██████▋ | 46951/70000 [16:37:03<8:05:03, 1.26s/step] Training: 67%|██████▋ | 46952/70000 [16:37:04<8:14:53, 1.29s/step] Training: 67%|██████▋ | 46953/70000 [16:37:05<8:02:43, 1.26s/step] Training: 67%|██████▋ | 46954/70000 [16:37:06<8:15:53, 1.29s/step] Training: 67%|██████▋ | 46955/70000 [16:37:08<8:20:41, 1.30s/step] Training: 67%|██████▋ | 46956/70000 [16:37:09<8:07:27, 1.27s/step] Training: 67%|██████▋ | 46957/70000 [16:37:10<7:58:18, 1.25s/step] Training: 67%|██████▋ | 46958/70000 [16:37:11<7:53:26, 1.23s/step] Training: 67%|██████▋ | 46959/70000 [16:37:13<8:11:09, 1.28s/step] Training: 67%|██████▋ | 46960/70000 [16:37:14<7:59:22, 1.25s/step] Training: 67%|██████▋ | 46961/70000 [16:37:15<7:52:18, 1.23s/step] Training: 67%|██████▋ | 46962/70000 [16:37:16<8:04:38, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=73728 Training: 67%|██████▋ | 46963/70000 [16:37:18<8:12:21, 1.28s/step] Training: 67%|██████▋ | 46964/70000 [16:37:19<8:01:26, 1.25s/step] Training: 67%|██████▋ | 46965/70000 [16:37:20<7:53:39, 1.23s/step] Training: 67%|██████▋ | 46966/70000 [16:37:22<8:03:59, 1.26s/step] Training: 67%|██████▋ | 46967/70000 [16:37:23<7:59:24, 1.25s/step] Training: 67%|██████▋ | 46968/70000 [16:37:24<8:10:01, 1.28s/step] Training: 67%|██████▋ | 46969/70000 [16:37:25<7:59:01, 1.25s/step] Training: 67%|██████▋ | 46970/70000 [16:37:27<8:14:05, 1.29s/step] Training: 67%|██████▋ | 46971/70000 [16:37:28<8:22:09, 1.31s/step] Training: 67%|██████▋ | 46972/70000 [16:37:29<8:08:37, 1.27s/step] Training: 67%|██████▋ | 46973/70000 [16:37:30<7:58:56, 1.25s/step] Training: 67%|██████▋ | 46974/70000 [16:37:32<8:07:53, 1.27s/step] Training: 67%|██████▋ | 46975/70000 [16:37:33<7:58:30, 1.25s/step] Training: 67%|██████▋ | 46976/70000 [16:37:34<8:09:21, 1.28s/step] Training: 67%|██████▋ | 46977/70000 [16:37:35<7:58:12, 1.25s/step] Training: 67%|██████▋ | 46978/70000 [16:37:37<7:54:02, 1.24s/step] Training: 67%|██████▋ | 46979/70000 [16:37:38<7:50:48, 1.23s/step] Training: 67%|██████▋ | 46980/70000 [16:37:39<7:46:25, 1.22s/step] Training: 67%|██████▋ | 46981/70000 [16:37:40<7:43:27, 1.21s/step] Training: 67%|██████▋ | 46982/70000 [16:37:41<7:45:40, 1.21s/step] Training: 67%|██████▋ | 46983/70000 [16:37:43<7:42:34, 1.21s/step] Training: 67%|██████▋ | 46984/70000 [16:37:44<7:46:26, 1.22s/step] Training: 67%|██████▋ | 46985/70000 [16:37:45<7:43:43, 1.21s/step] Training: 67%|██████▋ | 46986/70000 [16:37:46<8:02:37, 1.26s/step] Training: 67%|██████▋ | 46987/70000 [16:37:48<8:09:52, 1.28s/step] Training: 67%|██████▋ | 46988/70000 [16:37:49<7:59:58, 1.25s/step] Training: 67%|██████▋ | 46989/70000 [16:37:50<7:52:47, 1.23s/step] Training: 67%|██████▋ | 46990/70000 [16:37:51<7:50:30, 1.23s/step] Training: 67%|██████▋ | 46991/70000 [16:37:53<7:46:21, 1.22s/step] Training: 67%|██████▋ | 46992/70000 [16:37:54<7:50:30, 1.23s/step] Training: 67%|██████▋ | 46993/70000 [16:37:55<7:45:56, 1.22s/step] Training: 67%|██████▋ | 46994/70000 [16:37:56<7:59:14, 1.25s/step] Training: 67%|██████▋ | 46995/70000 [16:37:58<8:08:08, 1.27s/step] Training: 67%|██████▋ | 46996/70000 [16:37:59<7:58:30, 1.25s/step] Training: 67%|██████▋ | 46997/70000 [16:38:00<7:51:42, 1.23s/step] Training: 67%|██████▋ | 46998/70000 [16:38:01<8:02:59, 1.26s/step] Training: 67%|██████▋ | 46999/70000 [16:38:03<7:55:07, 1.24s/step] Training: 67%|██████▋ | 47000/70000 [16:38:04<8:05:05, 1.27s/step]INFO 2026-03-13 12:47:56 ot_train.py:435 step:47K smpl:3M ep:10K epch:39.84 loss:0.010 grdn:1.646 lr:6.9e-06 updt_s:1.232 data_s:0.019 Training: 67%|██████▋ | 47001/70000 [16:38:05<7:55:59, 1.24s/step] Training: 67%|██████▋ | 47002/70000 [16:38:06<8:10:55, 1.28s/step] Training: 67%|██████▋ | 47003/70000 [16:38:08<8:19:24, 1.30s/step] Training: 67%|██████▋ | 47004/70000 [16:38:09<8:05:42, 1.27s/step] Training: 67%|██████▋ | 47005/70000 [16:38:10<7:56:48, 1.24s/step] Training: 67%|██████▋ | 47006/70000 [16:38:11<8:06:56, 1.27s/step] Training: 67%|██████▋ | 47007/70000 [16:38:13<7:57:36, 1.25s/step] Training: 67%|██████▋ | 47008/70000 [16:38:14<8:06:50, 1.27s/step] Training: 67%|██████▋ | 47009/70000 [16:38:15<8:15:37, 1.29s/step] Training: 67%|██████▋ | 47010/70000 [16:38:17<8:20:02, 1.31s/step] Training: 67%|██████▋ | 47011/70000 [16:38:18<8:09:22, 1.28s/step] Training: 67%|██████▋ | 47012/70000 [16:38:19<7:59:01, 1.25s/step] Training: 67%|██████▋ | 47013/70000 [16:38:20<7:51:55, 1.23s/step] Training: 67%|██████▋ | 47014/70000 [16:38:21<7:52:37, 1.23s/step] Training: 67%|██████▋ | 47015/70000 [16:38:23<7:47:22, 1.22s/step] Training: 67%|██████▋ | 47016/70000 [16:38:24<8:00:05, 1.25s/step] Training: 67%|██████▋ | 47017/70000 [16:38:25<8:03:54, 1.26s/step] Training: 67%|██████▋ | 47018/70000 [16:38:27<8:16:01, 1.30s/step] Training: 67%|██████▋ | 47019/70000 [16:38:28<8:19:58, 1.31s/step] Training: 67%|██████▋ | 47020/70000 [16:38:29<8:06:19, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=56758 Training: 67%|██████▋ | 47021/70000 [16:38:30<7:57:06, 1.25s/step] Training: 67%|██████▋ | 47022/70000 [16:38:32<7:52:20, 1.23s/step] Training: 67%|██████▋ | 47023/70000 [16:38:33<7:47:24, 1.22s/step] Training: 67%|██████▋ | 47024/70000 [16:38:34<7:45:13, 1.21s/step] Training: 67%|██████▋ | 47025/70000 [16:38:35<8:01:55, 1.26s/step] Training: 67%|██████▋ | 47026/70000 [16:38:37<8:08:57, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=73728 Training: 67%|██████▋ | 47027/70000 [16:38:38<8:14:45, 1.29s/step] Training: 67%|██████▋ | 47028/70000 [16:38:39<8:02:28, 1.26s/step] Training: 67%|██████▋ | 47029/70000 [16:38:40<7:54:09, 1.24s/step] Training: 67%|██████▋ | 47030/70000 [16:38:42<8:04:36, 1.27s/step] Training: 67%|██████▋ | 47031/70000 [16:38:43<7:55:55, 1.24s/step] Training: 67%|██████▋ | 47032/70000 [16:38:44<8:05:28, 1.27s/step] Training: 67%|██████▋ | 47033/70000 [16:38:45<7:55:55, 1.24s/step] Training: 67%|██████▋ | 47034/70000 [16:38:47<8:07:17, 1.27s/step] Training: 67%|██████▋ | 47035/70000 [16:38:48<8:22:05, 1.31s/step] Training: 67%|██████▋ | 47036/70000 [16:38:49<8:07:59, 1.28s/step] Training: 67%|██████▋ | 47037/70000 [16:38:51<7:57:46, 1.25s/step] Training: 67%|██████▋ | 47038/70000 [16:38:52<8:06:32, 1.27s/step] Training: 67%|██████▋ | 47039/70000 [16:38:53<7:57:16, 1.25s/step] Training: 67%|██████▋ | 47040/70000 [16:38:54<8:06:59, 1.27s/step] Training: 67%|██████▋ | 47041/70000 [16:38:56<7:57:17, 1.25s/step] Training: 67%|██████▋ | 47042/70000 [16:38:57<8:08:45, 1.28s/step] Training: 67%|██████▋ | 47043/70000 [16:38:58<8:05:32, 1.27s/step] Training: 67%|██████▋ | 47044/70000 [16:38:59<7:56:20, 1.25s/step] Training: 67%|██████▋ | 47045/70000 [16:39:01<7:50:14, 1.23s/step] Training: 67%|██████▋ | 47046/70000 [16:39:02<7:51:04, 1.23s/step] Training: 67%|██████▋ | 47047/70000 [16:39:03<7:46:04, 1.22s/step] Training: 67%|██████▋ | 47048/70000 [16:39:04<7:58:02, 1.25s/step] Training: 67%|██████▋ | 47049/70000 [16:39:05<7:50:50, 1.23s/step] Training: 67%|██████▋ | 47050/70000 [16:39:07<8:16:44, 1.30s/step] Training: 67%|██████▋ | 47051/70000 [16:39:08<8:20:10, 1.31s/step] Training: 67%|██████▋ | 47052/70000 [16:39:09<8:06:15, 1.27s/step] Training: 67%|██████▋ | 47053/70000 [16:39:11<7:57:03, 1.25s/step] Training: 67%|██████▋ | 47054/70000 [16:39:12<7:52:26, 1.24s/step] Training: 67%|██████▋ | 47055/70000 [16:39:13<7:47:06, 1.22s/step] Training: 67%|██████▋ | 47056/70000 [16:39:14<7:46:10, 1.22s/step] Training: 67%|██████▋ | 47057/70000 [16:39:15<7:42:46, 1.21s/step] Training: 67%|██████▋ | 47058/70000 [16:39:17<7:57:43, 1.25s/step] Training: 67%|██████▋ | 47059/70000 [16:39:18<8:07:18, 1.27s/step] Training: 67%|██████▋ | 47060/70000 [16:39:19<7:57:25, 1.25s/step] Training: 67%|██████▋ | 47061/70000 [16:39:20<7:51:11, 1.23s/step] Training: 67%|██████▋ | 47062/70000 [16:39:22<8:02:33, 1.26s/step] Training: 67%|██████▋ | 47063/70000 [16:39:23<7:54:27, 1.24s/step] Training: 67%|██████▋ | 47064/70000 [16:39:24<8:05:15, 1.27s/step] Training: 67%|██████▋ | 47065/70000 [16:39:26<7:55:59, 1.25s/step] Training: 67%|██████▋ | 47066/70000 [16:39:27<7:55:17, 1.24s/step] Training: 67%|██████▋ | 47067/70000 [16:39:28<8:11:10, 1.29s/step] Training: 67%|██████▋ | 47068/70000 [16:39:29<8:00:31, 1.26s/step] Training: 67%|██████▋ | 47069/70000 [16:39:31<7:53:00, 1.24s/step] Training: 67%|██████▋ | 47070/70000 [16:39:32<8:03:50, 1.27s/step] Training: 67%|██████▋ | 47071/70000 [16:39:33<7:55:13, 1.24s/step] Training: 67%|██████▋ | 47072/70000 [16:39:34<8:05:45, 1.27s/step] Training: 67%|██████▋ | 47073/70000 [16:39:36<7:56:45, 1.25s/step] Training: 67%|██████▋ | 47074/70000 [16:39:37<8:05:17, 1.27s/step] Training: 67%|██████▋ | 47075/70000 [16:39:38<8:12:09, 1.29s/step] Training: 67%|██████▋ | 47076/70000 [16:39:39<8:00:46, 1.26s/step] Training: 67%|██████▋ | 47077/70000 [16:39:41<7:52:33, 1.24s/step] Training: 67%|██████▋ | 47078/70000 [16:39:42<7:50:52, 1.23s/step] Training: 67%|██████▋ | 47079/70000 [16:39:43<7:45:51, 1.22s/step] Training: 67%|██████▋ | 47080/70000 [16:39:44<7:58:24, 1.25s/step] Training: 67%|██████▋ | 47081/70000 [16:39:46<7:51:07, 1.23s/step] Training: 67%|██████▋ | 47082/70000 [16:39:47<8:02:27, 1.26s/step] Training: 67%|██████▋ | 47083/70000 [16:39:48<8:22:34, 1.32s/step] Training: 67%|██████▋ | 47084/70000 [16:39:49<8:08:01, 1.28s/step] Training: 67%|██████▋ | 47085/70000 [16:39:51<7:57:29, 1.25s/step] Training: 67%|██████▋ | 47086/70000 [16:39:52<7:53:20, 1.24s/step] Training: 67%|██████▋ | 47087/70000 [16:39:53<7:48:38, 1.23s/step] Training: 67%|██████▋ | 47088/70000 [16:39:54<7:47:21, 1.22s/step] Training: 67%|██████▋ | 47089/70000 [16:39:55<7:43:23, 1.21s/step] Training: 67%|██████▋ | 47090/70000 [16:39:57<7:55:52, 1.25s/step] Training: 67%|██████▋ | 47091/70000 [16:39:58<8:16:15, 1.30s/step] Training: 67%|██████▋ | 47092/70000 [16:39:59<8:03:41, 1.27s/step] Training: 67%|██████▋ | 47093/70000 [16:40:01<7:54:45, 1.24s/step] Training: 67%|██████▋ | 47094/70000 [16:40:02<8:06:08, 1.27s/step] Training: 67%|██████▋ | 47095/70000 [16:40:03<7:56:35, 1.25s/step] Training: 67%|██████▋ | 47096/70000 [16:40:04<8:06:08, 1.27s/step] Training: 67%|██████▋ | 47097/70000 [16:40:06<7:56:27, 1.25s/step] Training: 67%|██████▋ | 47098/70000 [16:40:07<8:06:13, 1.27s/step] Training: 67%|██████▋ | 47099/70000 [16:40:08<8:29:30, 1.33s/step] Training: 67%|██████▋ | 47100/70000 [16:40:10<8:12:25, 1.29s/step]INFO 2026-03-13 12:50:02 ot_train.py:435 step:47K smpl:3M ep:10K epch:39.92 loss:0.009 grdn:1.151 lr:6.8e-06 updt_s:1.237 data_s:0.019 Training: 67%|██████▋ | 47101/70000 [16:40:11<8:01:59, 1.26s/step] Training: 67%|██████▋ | 47102/70000 [16:40:12<8:11:41, 1.29s/step] Training: 67%|██████▋ | 47103/70000 [16:40:13<8:00:23, 1.26s/step] Training: 67%|██████▋ | 47104/70000 [16:40:15<8:07:53, 1.28s/step] Training: 67%|██████▋ | 47105/70000 [16:40:16<7:57:37, 1.25s/step] Training: 67%|██████▋ | 47106/70000 [16:40:17<8:05:38, 1.27s/step] Training: 67%|██████▋ | 47107/70000 [16:40:19<8:29:52, 1.34s/step] Training: 67%|██████▋ | 47108/70000 [16:40:20<8:12:03, 1.29s/step] Training: 67%|██████▋ | 47109/70000 [16:40:21<8:00:40, 1.26s/step] Training: 67%|██████▋ | 47110/70000 [16:40:22<7:56:32, 1.25s/step] Training: 67%|██████▋ | 47111/70000 [16:40:24<7:50:20, 1.23s/step] Training: 67%|██████▋ | 47112/70000 [16:40:25<8:01:35, 1.26s/step] Training: 67%|██████▋ | 47113/70000 [16:40:26<7:53:31, 1.24s/step] Training: 67%|██████▋ | 47114/70000 [16:40:27<7:52:48, 1.24s/step] Training: 67%|██████▋ | 47115/70000 [16:40:29<8:03:24, 1.27s/step] Training: 67%|██████▋ | 47116/70000 [16:40:30<8:11:42, 1.29s/step] Training: 67%|██████▋ | 47117/70000 [16:40:31<7:59:26, 1.26s/step] Training: 67%|██████▋ | 47118/70000 [16:40:32<7:53:27, 1.24s/step] Training: 67%|██████▋ | 47119/70000 [16:40:34<7:47:51, 1.23s/step] Training: 67%|██████▋ | 47120/70000 [16:40:35<7:47:27, 1.23s/step] Training: 67%|██████▋ | 47121/70000 [16:40:36<7:43:16, 1.21s/step] Training: 67%|██████▋ | 47122/70000 [16:40:37<7:56:33, 1.25s/step] Training: 67%|██████▋ | 47123/70000 [16:40:39<8:10:55, 1.29s/step] Training: 67%|██████▋ | 47124/70000 [16:40:40<8:16:17, 1.30s/step] Training: 67%|██████▋ | 47125/70000 [16:40:41<8:02:24, 1.27s/step] Training: 67%|██████▋ | 47126/70000 [16:40:43<8:09:59, 1.29s/step] Training: 67%|██████▋ | 47127/70000 [16:40:44<7:58:44, 1.26s/step] Training: 67%|██████▋ | 47128/70000 [16:40:45<8:06:36, 1.28s/step] Training: 67%|██████▋ | 47129/70000 [16:40:46<7:56:47, 1.25s/step] Training: 67%|██████▋ | 47130/70000 [16:40:48<8:05:51, 1.27s/step] Training: 67%|██████▋ | 47131/70000 [16:40:49<8:16:47, 1.30s/step] Training: 67%|██████▋ | 47132/70000 [16:40:50<8:19:41, 1.31s/step] Training: 67%|██████▋ | 47133/70000 [16:40:51<8:04:53, 1.27s/step] Training: 67%|██████▋ | 47134/70000 [16:40:53<8:11:27, 1.29s/step] Training: 67%|██████▋ | 47135/70000 [16:40:54<8:00:14, 1.26s/step] Training: 67%|██████▋ | 47136/70000 [16:40:55<8:08:40, 1.28s/step] Training: 67%|██████▋ | 47137/70000 [16:40:56<7:58:23, 1.26s/step] Training: 67%|██████▋ | 47138/70000 [16:40:58<8:09:35, 1.28s/step] Training: 67%|██████▋ | 47139/70000 [16:40:59<8:14:28, 1.30s/step] Training: 67%|██████▋ | 47140/70000 [16:41:01<8:21:12, 1.32s/step] Training: 67%|██████▋ | 47141/70000 [16:41:02<8:05:38, 1.27s/step] Training: 67%|██████▋ | 47142/70000 [16:41:03<8:00:47, 1.26s/step] Training: 67%|██████▋ | 47143/70000 [16:41:04<7:52:38, 1.24s/step] Training: 67%|██████▋ | 47144/70000 [16:41:05<8:03:01, 1.27s/step] Training: 67%|██████▋ | 47145/70000 [16:41:07<7:54:27, 1.25s/step] Training: 67%|██████▋ | 47146/70000 [16:41:08<7:52:57, 1.24s/step] Training: 67%|██████▋ | 47147/70000 [16:41:09<8:03:02, 1.27s/step] Training: 67%|██████▋ | 47148/70000 [16:41:10<8:01:10, 1.26s/step] Training: 67%|██████▋ | 47149/70000 [16:41:12<7:52:13, 1.24s/step] Training: 67%|██████▋ | 47150/70000 [16:41:13<7:48:07, 1.23s/step] Training: 67%|██████▋ | 47151/70000 [16:41:14<7:43:54, 1.22s/step] Training: 67%|██████▋ | 47152/70000 [16:41:15<7:42:49, 1.22s/step] Training: 67%|██████▋ | 47153/70000 [16:41:16<7:40:05, 1.21s/step] Training: 67%|██████▋ | 47154/70000 [16:41:18<7:55:34, 1.25s/step] Training: 67%|██████▋ | 47155/70000 [16:41:19<8:10:57, 1.29s/step] Training: 67%|██████▋ | 47156/70000 [16:41:20<7:59:39, 1.26s/step] Training: 67%|██████▋ | 47157/70000 [16:41:22<8:10:17, 1.29s/step] Training: 67%|██████▋ | 47158/70000 [16:41:23<8:13:13, 1.30s/step] Training: 67%|██████▋ | 47159/70000 [16:41:24<8:01:06, 1.26s/step] Training: 67%|██████▋ | 47160/70000 [16:41:26<8:09:37, 1.29s/step] Training: 67%|██████▋ | 47161/70000 [16:41:27<7:58:36, 1.26s/step] Training: 67%|██████▋ | 47162/70000 [16:41:28<8:07:23, 1.28s/step] Training: 67%|██████▋ | 47163/70000 [16:41:29<8:18:06, 1.31s/step] Training: 67%|██████▋ | 47164/70000 [16:41:31<8:04:45, 1.27s/step] Training: 67%|██████▋ | 47165/70000 [16:41:32<8:08:03, 1.28s/step] Training: 67%|██████▋ | 47166/70000 [16:41:33<8:13:25, 1.30s/step] Training: 67%|██████▋ | 47167/70000 [16:41:34<8:01:13, 1.26s/step] Training: 67%|██████▋ | 47168/70000 [16:41:36<8:08:12, 1.28s/step] Training: 67%|██████▋ | 47169/70000 [16:41:37<7:57:10, 1.25s/step] Training: 67%|██████▋ | 47170/70000 [16:41:38<8:06:08, 1.28s/step] Training: 67%|██████▋ | 47171/70000 [16:41:40<8:12:12, 1.29s/step] Training: 67%|██████▋ | 47172/70000 [16:41:41<8:00:16, 1.26s/step] Training: 67%|██████▋ | 47173/70000 [16:41:42<8:10:04, 1.29s/step] Training: 67%|██████▋ | 47174/70000 [16:41:43<8:00:57, 1.26s/step] Training: 67%|██████▋ | 47175/70000 [16:41:45<7:52:23, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=72122 Training: 67%|██████▋ | 47176/70000 [16:41:46<8:01:36, 1.27s/step] Training: 67%|██████▋ | 47177/70000 [16:41:47<7:52:30, 1.24s/step] Training: 67%|██████▋ | 47178/70000 [16:41:48<7:49:01, 1.23s/step] Training: 67%|██████▋ | 47179/70000 [16:41:50<8:00:13, 1.26s/step] Training: 67%|██████▋ | 47180/70000 [16:41:51<7:51:45, 1.24s/step] Training: 67%|██████▋ | 47181/70000 [16:41:52<7:45:34, 1.22s/step] Training: 67%|██████▋ | 47182/70000 [16:41:53<7:58:36, 1.26s/step] Training: 67%|██████▋ | 47183/70000 [16:41:55<7:50:05, 1.24s/step] Training: 67%|██████▋ | 47184/70000 [16:41:56<7:55:42, 1.25s/step] Training: 67%|██████▋ | 47185/70000 [16:41:57<7:48:39, 1.23s/step] Training: 67%|██████▋ | 47186/70000 [16:41:58<8:00:27, 1.26s/step] Training: 67%|██████▋ | 47187/70000 [16:42:00<8:15:04, 1.30s/step] Training: 67%|██████▋ | 47188/70000 [16:42:01<8:01:59, 1.27s/step] Training: 67%|██████▋ | 47189/70000 [16:42:02<7:53:20, 1.25s/step] Training: 67%|██████▋ | 47190/70000 [16:42:04<8:11:16, 1.29s/step] Training: 67%|██████▋ | 47191/70000 [16:42:05<7:59:32, 1.26s/step] Training: 67%|██████▋ | 47192/70000 [16:42:06<7:51:37, 1.24s/step] Training: 67%|██████▋ | 47193/70000 [16:42:07<7:45:19, 1.22s/step] Training: 67%|██████▋ | 47194/70000 [16:42:08<7:58:33, 1.26s/step] Training: 67%|██████▋ | 47195/70000 [16:42:10<8:12:37, 1.30s/step] Training: 67%|██████▋ | 47196/70000 [16:42:11<8:00:33, 1.26s/step] Training: 67%|██████▋ | 47197/70000 [16:42:12<7:51:34, 1.24s/step] Training: 67%|██████▋ | 47198/70000 [16:42:13<8:01:19, 1.27s/step] Training: 67%|██████▋ | 47199/70000 [16:42:15<7:52:15, 1.24s/step] Training: 67%|██████▋ | 47200/70000 [16:42:17<9:47:40, 1.55s/step]INFO 2026-03-13 12:52:09 ot_train.py:435 step:47K smpl:3M ep:10K epch:40.01 loss:0.009 grdn:1.162 lr:6.8e-06 updt_s:1.241 data_s:0.029 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 67%|██████▋ | 47201/70000 [16:42:21<14:48:56, 2.34s/step] Training: 67%|██████▋ | 47202/70000 [16:42:23<12:59:24, 2.05s/step] Training: 67%|██████▋ | 47203/70000 [16:42:24<11:44:39, 1.85s/step] Training: 67%|██████▋ | 47204/70000 [16:42:25<10:28:53, 1.66s/step] Training: 67%|██████▋ | 47205/70000 [16:42:26<9:35:21, 1.51s/step] Training: 67%|██████▋ | 47206/70000 [16:42:28<9:28:02, 1.50s/step] Training: 67%|██████▋ | 47207/70000 [16:42:29<8:51:55, 1.40s/step] Training: 67%|██████▋ | 47208/70000 [16:42:30<8:41:12, 1.37s/step] Training: 67%|██████▋ | 47209/70000 [16:42:31<8:20:30, 1.32s/step] Training: 67%|██████▋ | 47210/70000 [16:42:33<8:07:21, 1.28s/step] Training: 67%|██████▋ | 47211/70000 [16:42:34<8:14:21, 1.30s/step] Training: 67%|██████▋ | 47212/70000 [16:42:35<8:01:11, 1.27s/step] Training: 67%|██████▋ | 47213/70000 [16:42:36<7:52:24, 1.24s/step] Training: 67%|██████▋ | 47214/70000 [16:42:38<8:05:28, 1.28s/step] Training: 67%|██████▋ | 47215/70000 [16:42:39<7:53:56, 1.25s/step] Training: 67%|██████▋ | 47216/70000 [16:42:40<7:52:00, 1.24s/step] Training: 67%|██████▋ | 47217/70000 [16:42:41<7:45:40, 1.23s/step] Training: 67%|██████▋ | 47218/70000 [16:42:43<7:57:27, 1.26s/step] Training: 67%|██████▋ | 47219/70000 [16:42:44<8:11:53, 1.30s/step] Training: 67%|██████▋ | 47220/70000 [16:42:45<7:59:57, 1.26s/step] Training: 67%|██████▋ | 47221/70000 [16:42:46<7:51:30, 1.24s/step] Training: 67%|██████▋ | 47222/70000 [16:42:48<8:02:24, 1.27s/step] Training: 67%|██████▋ | 47223/70000 [16:42:49<7:53:11, 1.25s/step] Training: 67%|██████▋ | 47224/70000 [16:42:50<7:47:46, 1.23s/step] Training: 67%|██████▋ | 47225/70000 [16:42:51<7:58:06, 1.26s/step] Training: 67%|██████▋ | 47226/70000 [16:42:53<8:08:12, 1.29s/step] Training: 67%|██████▋ | 47227/70000 [16:42:54<8:18:55, 1.31s/step] Training: 67%|██████▋ | 47228/70000 [16:42:55<8:19:27, 1.32s/step] Training: 67%|██████▋ | 47229/70000 [16:42:57<8:04:52, 1.28s/step] Training: 67%|██████▋ | 47230/70000 [16:42:58<8:10:35, 1.29s/step] Training: 67%|██████▋ | 47231/70000 [16:42:59<8:17:23, 1.31s/step] Training: 67%|██████▋ | 47232/70000 [16:43:01<8:02:30, 1.27s/step] Training: 67%|██████▋ | 47233/70000 [16:43:02<7:53:00, 1.25s/step] Training: 67%|██████▋ | 47234/70000 [16:43:03<8:03:06, 1.27s/step] Training: 67%|██████▋ | 47235/70000 [16:43:04<8:10:51, 1.29s/step] Training: 67%|██████▋ | 47236/70000 [16:43:06<8:12:31, 1.30s/step] Training: 67%|██████▋ | 47237/70000 [16:43:07<8:00:20, 1.27s/step] Training: 67%|██████▋ | 47238/70000 [16:43:08<7:55:29, 1.25s/step] Training: 67%|██████▋ | 47239/70000 [16:43:09<8:01:49, 1.27s/step] Training: 67%|██████▋ | 47240/70000 [16:43:11<7:56:25, 1.26s/step] Training: 67%|██████▋ | 47241/70000 [16:43:12<7:48:37, 1.24s/step] Training: 67%|██████▋ | 47242/70000 [16:43:13<7:46:26, 1.23s/step] Training: 67%|██████▋ | 47243/70000 [16:43:14<7:58:14, 1.26s/step] Training: 67%|██████▋ | 47244/70000 [16:43:16<7:50:15, 1.24s/step] Training: 67%|██████▋ | 47245/70000 [16:43:17<7:44:29, 1.22s/step] Training: 67%|██████▋ | 47246/70000 [16:43:18<7:42:29, 1.22s/step] Training: 67%|██████▋ | 47247/70000 [16:43:19<7:59:41, 1.26s/step] Training: 67%|██████▋ | 47248/70000 [16:43:21<7:53:04, 1.25s/step] Training: 67%|██████▋ | 47249/70000 [16:43:22<7:46:13, 1.23s/step] Training: 68%|██████▊ | 47250/70000 [16:43:23<7:58:09, 1.26s/step] Training: 68%|██████▊ | 47251/70000 [16:43:24<8:11:00, 1.30s/step] Training: 68%|██████▊ | 47252/70000 [16:43:26<7:59:08, 1.26s/step] Training: 68%|██████▊ | 47253/70000 [16:43:27<7:50:41, 1.24s/step] Training: 68%|██████▊ | 47254/70000 [16:43:28<8:00:41, 1.27s/step] Training: 68%|██████▊ | 47255/70000 [16:43:29<7:51:38, 1.24s/step] Training: 68%|██████▊ | 47256/70000 [16:43:31<8:14:10, 1.30s/step] Training: 68%|██████▊ | 47257/70000 [16:43:32<8:01:02, 1.27s/step] Training: 68%|██████▊ | 47258/70000 [16:43:33<8:07:27, 1.29s/step] Training: 68%|██████▊ | 47259/70000 [16:43:35<8:18:26, 1.32s/step] Training: 68%|██████▊ | 47260/70000 [16:43:36<8:04:33, 1.28s/step] Training: 68%|██████▊ | 47261/70000 [16:43:37<7:54:18, 1.25s/step] Training: 68%|██████▊ | 47262/70000 [16:43:38<8:02:47, 1.27s/step] Training: 68%|██████▊ | 47263/70000 [16:43:40<7:53:00, 1.25s/step] Training: 68%|██████▊ | 47264/70000 [16:43:41<8:14:30, 1.30s/step] Training: 68%|██████▊ | 47265/70000 [16:43:42<8:01:15, 1.27s/step] Training: 68%|██████▊ | 47266/70000 [16:43:43<7:55:52, 1.26s/step] Training: 68%|██████▊ | 47267/70000 [16:43:45<8:04:07, 1.28s/step] Training: 68%|██████▊ | 47268/70000 [16:43:46<7:54:47, 1.25s/step] Training: 68%|██████▊ | 47269/70000 [16:43:47<7:47:23, 1.23s/step] Training: 68%|██████▊ | 47270/70000 [16:43:48<7:46:34, 1.23s/step] Training: 68%|██████▊ | 47271/70000 [16:43:50<7:42:04, 1.22s/step] Training: 68%|██████▊ | 47272/70000 [16:43:51<7:43:39, 1.22s/step] Training: 68%|██████▊ | 47273/70000 [16:43:52<7:39:55, 1.21s/step] Training: 68%|██████▊ | 47274/70000 [16:43:53<7:40:14, 1.22s/step] Training: 68%|██████▊ | 47275/70000 [16:43:55<7:55:05, 1.25s/step] Training: 68%|██████▊ | 47276/70000 [16:43:56<7:47:52, 1.24s/step] Training: 68%|██████▊ | 47277/70000 [16:43:57<7:42:41, 1.22s/step] Training: 68%|██████▊ | 47278/70000 [16:43:58<7:40:48, 1.22s/step] Training: 68%|██████▊ | 47279/70000 [16:43:59<7:37:38, 1.21s/step] Training: 68%|██████▊ | 47280/70000 [16:44:01<7:41:35, 1.22s/step] Training: 68%|██████▊ | 47281/70000 [16:44:02<7:38:24, 1.21s/step] Training: 68%|██████▊ | 47282/70000 [16:44:03<7:51:38, 1.25s/step] Training: 68%|██████▊ | 47283/70000 [16:44:04<8:06:53, 1.29s/step] Training: 68%|██████▊ | 47284/70000 [16:44:06<7:56:38, 1.26s/step] Training: 68%|██████▊ | 47285/70000 [16:44:07<7:48:51, 1.24s/step] Training: 68%|██████▊ | 47286/70000 [16:44:08<7:58:11, 1.26s/step] Training: 68%|██████▊ | 47287/70000 [16:44:09<7:49:28, 1.24s/step] Training: 68%|██████▊ | 47288/70000 [16:44:11<7:59:47, 1.27s/step] Training: 68%|██████▊ | 47289/70000 [16:44:12<7:50:55, 1.24s/step] Training: 68%|██████▊ | 47290/70000 [16:44:13<8:02:51, 1.28s/step] Training: 68%|██████▊ | 47291/70000 [16:44:15<8:14:49, 1.31s/step] Training: 68%|██████▊ | 47292/70000 [16:44:16<8:01:48, 1.27s/step] Training: 68%|██████▊ | 47293/70000 [16:44:17<7:52:32, 1.25s/step] Training: 68%|██████▊ | 47294/70000 [16:44:18<8:01:19, 1.27s/step] Training: 68%|██████▊ | 47295/70000 [16:44:20<7:51:53, 1.25s/step] Training: 68%|██████▊ | 47296/70000 [16:44:21<8:01:02, 1.27s/step] Training: 68%|██████▊ | 47297/70000 [16:44:22<8:10:05, 1.30s/step] Training: 68%|██████▊ | 47298/70000 [16:44:23<8:00:49, 1.27s/step] Training: 68%|██████▊ | 47299/70000 [16:44:25<8:08:12, 1.29s/step] Training: 68%|██████▊ | 47300/70000 [16:44:26<7:57:32, 1.26s/step]INFO 2026-03-13 12:54:18 ot_train.py:435 step:47K smpl:3M ep:10K epch:40.09 loss:0.009 grdn:0.728 lr:6.7e-06 updt_s:1.239 data_s:0.049 Training: 68%|██████▊ | 47301/70000 [16:44:27<7:49:19, 1.24s/step] Training: 68%|██████▊ | 47302/70000 [16:44:28<7:46:37, 1.23s/step] Training: 68%|██████▊ | 47303/70000 [16:44:30<7:41:14, 1.22s/step] Training: 68%|██████▊ | 47304/70000 [16:44:31<7:41:27, 1.22s/step] Training: 68%|██████▊ | 47305/70000 [16:44:32<7:43:16, 1.22s/step] Training: 68%|██████▊ | 47306/70000 [16:44:33<7:41:03, 1.22s/step] Training: 68%|██████▊ | 47307/70000 [16:44:35<7:53:51, 1.25s/step] Training: 68%|██████▊ | 47308/70000 [16:44:36<7:46:16, 1.23s/step] Training: 68%|██████▊ | 47309/70000 [16:44:37<7:41:11, 1.22s/step] Training: 68%|██████▊ | 47310/70000 [16:44:38<7:39:47, 1.22s/step] Training: 68%|██████▊ | 47311/70000 [16:44:39<7:36:27, 1.21s/step] Training: 68%|██████▊ | 47312/70000 [16:44:41<7:36:42, 1.21s/step] Training: 68%|██████▊ | 47313/70000 [16:44:42<7:40:00, 1.22s/step] Training: 68%|██████▊ | 47314/70000 [16:44:43<7:53:04, 1.25s/step] Training: 68%|██████▊ | 47315/70000 [16:44:44<8:06:45, 1.29s/step] Training: 68%|██████▊ | 47316/70000 [16:44:46<7:55:26, 1.26s/step] Training: 68%|██████▊ | 47317/70000 [16:44:47<7:47:43, 1.24s/step] Training: 68%|██████▊ | 47318/70000 [16:44:48<7:57:57, 1.26s/step] Training: 68%|██████▊ | 47319/70000 [16:44:49<7:49:27, 1.24s/step] Training: 68%|██████▊ | 47320/70000 [16:44:51<7:59:00, 1.27s/step] Training: 68%|██████▊ | 47321/70000 [16:44:52<7:50:12, 1.24s/step] Training: 68%|██████▊ | 47322/70000 [16:44:53<8:14:12, 1.31s/step] Training: 68%|██████▊ | 47323/70000 [16:44:55<8:20:09, 1.32s/step] Training: 68%|██████▊ | 47324/70000 [16:44:56<8:04:37, 1.28s/step] Training: 68%|██████▊ | 47325/70000 [16:44:57<7:54:07, 1.25s/step] Training: 68%|██████▊ | 47326/70000 [16:44:58<7:46:30, 1.23s/step] Training: 68%|██████▊ | 47327/70000 [16:45:00<7:56:59, 1.26s/step] Training: 68%|██████▊ | 47328/70000 [16:45:01<8:04:42, 1.28s/step] Training: 68%|██████▊ | 47329/70000 [16:45:02<7:53:51, 1.25s/step] Training: 68%|██████▊ | 47330/70000 [16:45:03<8:00:15, 1.27s/step] Training: 68%|██████▊ | 47331/70000 [16:45:05<8:06:39, 1.29s/step] Training: 68%|██████▊ | 47332/70000 [16:45:06<7:55:48, 1.26s/step] Training: 68%|██████▊ | 47333/70000 [16:45:07<7:48:11, 1.24s/step] Training: 68%|██████▊ | 47334/70000 [16:45:08<7:41:35, 1.22s/step] Training: 68%|██████▊ | 47335/70000 [16:45:10<7:51:18, 1.25s/step] Training: 68%|██████▊ | 47336/70000 [16:45:11<7:49:02, 1.24s/step] Training: 68%|██████▊ | 47337/70000 [16:45:12<7:42:47, 1.23s/step] Training: 68%|██████▊ | 47338/70000 [16:45:13<7:58:56, 1.27s/step] Training: 68%|██████▊ | 47339/70000 [16:45:15<8:04:39, 1.28s/step] Training: 68%|██████▊ | 47340/70000 [16:45:16<8:09:49, 1.30s/step] Training: 68%|██████▊ | 47341/70000 [16:45:17<7:57:28, 1.26s/step] Training: 68%|██████▊ | 47342/70000 [16:45:18<7:48:42, 1.24s/step] Training: 68%|██████▊ | 47343/70000 [16:45:20<7:58:53, 1.27s/step] Training: 68%|██████▊ | 47344/70000 [16:45:21<7:52:16, 1.25s/step] Training: 68%|██████▊ | 47345/70000 [16:45:22<7:45:04, 1.23s/step] Training: 68%|██████▊ | 47346/70000 [16:45:23<8:00:26, 1.27s/step] Training: 68%|██████▊ | 47347/70000 [16:45:25<8:07:38, 1.29s/step] Training: 68%|██████▊ | 47348/70000 [16:45:26<8:09:28, 1.30s/step] Training: 68%|██████▊ | 47349/70000 [16:45:27<7:57:11, 1.26s/step] Training: 68%|██████▊ | 47350/70000 [16:45:29<7:48:32, 1.24s/step] Training: 68%|██████▊ | 47351/70000 [16:45:30<7:58:13, 1.27s/step] Training: 68%|██████▊ | 47352/70000 [16:45:31<8:05:24, 1.29s/step] Training: 68%|██████▊ | 47353/70000 [16:45:32<7:54:22, 1.26s/step] Training: 68%|██████▊ | 47354/70000 [16:45:34<7:46:37, 1.24s/step] Training: 68%|██████▊ | 47355/70000 [16:45:35<8:13:17, 1.31s/step] Training: 68%|██████▊ | 47356/70000 [16:45:36<8:00:06, 1.27s/step] Training: 68%|██████▊ | 47357/70000 [16:45:37<7:50:50, 1.25s/step] Training: 68%|██████▊ | 47358/70000 [16:45:39<7:44:03, 1.23s/step] Training: 68%|██████▊ | 47359/70000 [16:45:40<7:43:05, 1.23s/step] Training: 68%|██████▊ | 47360/70000 [16:45:41<7:54:33, 1.26s/step] Training: 68%|██████▊ | 47361/70000 [16:45:42<7:46:53, 1.24s/step] Training: 68%|██████▊ | 47362/70000 [16:45:44<7:47:25, 1.24s/step] Training: 68%|██████▊ | 47363/70000 [16:45:45<8:12:39, 1.31s/step] Training: 68%|██████▊ | 47364/70000 [16:45:46<8:12:35, 1.31s/step] Training: 68%|██████▊ | 47365/70000 [16:45:48<7:59:25, 1.27s/step] Training: 68%|██████▊ | 47366/70000 [16:45:49<7:50:10, 1.25s/step] Training: 68%|██████▊ | 47367/70000 [16:45:50<7:44:40, 1.23s/step] Training: 68%|██████▊ | 47368/70000 [16:45:51<7:43:16, 1.23s/step] Training: 68%|██████▊ | 47369/70000 [16:45:52<7:38:40, 1.22s/step] Training: 68%|██████▊ | 47370/70000 [16:45:54<7:38:27, 1.22s/step] Training: 68%|██████▊ | 47371/70000 [16:45:55<8:02:48, 1.28s/step] Training: 68%|██████▊ | 47372/70000 [16:45:56<7:56:24, 1.26s/step] Training: 68%|██████▊ | 47373/70000 [16:45:57<7:47:44, 1.24s/step] Training: 68%|██████▊ | 47374/70000 [16:45:59<7:41:45, 1.22s/step] Training: 68%|██████▊ | 47375/70000 [16:46:00<7:53:54, 1.26s/step] Training: 68%|██████▊ | 47376/70000 [16:46:01<7:48:32, 1.24s/step] Training: 68%|██████▊ | 47377/70000 [16:46:02<7:42:09, 1.23s/step] Training: 68%|██████▊ | 47378/70000 [16:46:04<7:55:52, 1.26s/step] Training: 68%|██████▊ | 47379/70000 [16:46:05<8:06:07, 1.29s/step] Training: 68%|██████▊ | 47380/70000 [16:46:06<7:55:38, 1.26s/step] Training: 68%|██████▊ | 47381/70000 [16:46:07<7:47:21, 1.24s/step] Training: 68%|██████▊ | 47382/70000 [16:46:09<7:41:15, 1.22s/step] Training: 68%|██████▊ | 47383/70000 [16:46:10<7:52:13, 1.25s/step] Training: 68%|██████▊ | 47384/70000 [16:46:11<8:00:04, 1.27s/step] Training: 68%|██████▊ | 47385/70000 [16:46:12<7:50:31, 1.25s/step] Training: 68%|██████▊ | 47386/70000 [16:46:14<7:59:15, 1.27s/step] Training: 68%|██████▊ | 47387/70000 [16:46:15<8:10:28, 1.30s/step] Training: 68%|██████▊ | 47388/70000 [16:46:16<8:14:08, 1.31s/step] Training: 68%|██████▊ | 47389/70000 [16:46:18<8:00:26, 1.27s/step] Training: 68%|██████▊ | 47390/70000 [16:46:19<7:50:45, 1.25s/step] Training: 68%|██████▊ | 47391/70000 [16:46:20<7:48:53, 1.24s/step] Training: 68%|██████▊ | 47392/70000 [16:46:21<7:57:20, 1.27s/step] Training: 68%|██████▊ | 47393/70000 [16:46:23<7:48:18, 1.24s/step] Training: 68%|██████▊ | 47394/70000 [16:46:24<7:46:14, 1.24s/step] Training: 68%|██████▊ | 47395/70000 [16:46:25<7:56:02, 1.26s/step] Training: 68%|██████▊ | 47396/70000 [16:46:27<8:17:02, 1.32s/step] Training: 68%|██████▊ | 47397/70000 [16:46:28<8:01:56, 1.28s/step] Training: 68%|██████▊ | 47398/70000 [16:46:29<7:51:28, 1.25s/step] Training: 68%|██████▊ | 47399/70000 [16:46:30<7:46:00, 1.24s/step] Training: 68%|██████▊ | 47400/70000 [16:46:31<7:45:05, 1.23s/step]INFO 2026-03-13 12:56:23 ot_train.py:435 step:47K smpl:3M ep:10K epch:40.18 loss:0.010 grdn:0.696 lr:6.7e-06 updt_s:1.233 data_s:0.019 Training: 68%|██████▊ | 47401/70000 [16:46:33<7:39:51, 1.22s/step] Training: 68%|██████▊ | 47402/70000 [16:46:34<7:39:03, 1.22s/step] Training: 68%|██████▊ | 47403/70000 [16:46:35<7:51:18, 1.25s/step] Training: 68%|██████▊ | 47404/70000 [16:46:36<8:01:04, 1.28s/step] Training: 68%|██████▊ | 47405/70000 [16:46:38<7:50:44, 1.25s/step] Training: 68%|██████▊ | 47406/70000 [16:46:39<7:43:34, 1.23s/step] Training: 68%|██████▊ | 47407/70000 [16:46:40<7:53:52, 1.26s/step] Training: 68%|██████▊ | 47408/70000 [16:46:41<7:48:55, 1.25s/step] Training: 68%|██████▊ | 47409/70000 [16:46:43<7:42:55, 1.23s/step] Training: 68%|██████▊ | 47410/70000 [16:46:44<7:54:12, 1.26s/step] Training: 68%|██████▊ | 47411/70000 [16:46:45<8:04:15, 1.29s/step] Training: 68%|██████▊ | 47412/70000 [16:46:47<8:12:56, 1.31s/step] Training: 68%|██████▊ | 47413/70000 [16:46:48<7:58:06, 1.27s/step] Training: 68%|██████▊ | 47414/70000 [16:46:49<7:49:26, 1.25s/step] Training: 68%|██████▊ | 47415/70000 [16:46:50<7:59:59, 1.28s/step] Training: 68%|██████▊ | 47416/70000 [16:46:52<8:05:30, 1.29s/step] Training: 68%|██████▊ | 47417/70000 [16:46:53<7:54:30, 1.26s/step] Training: 68%|██████▊ | 47418/70000 [16:46:54<8:01:48, 1.28s/step] Training: 68%|██████▊ | 47419/70000 [16:46:55<8:11:43, 1.31s/step] Training: 68%|██████▊ | 47420/70000 [16:46:57<7:58:50, 1.27s/step] Training: 68%|██████▊ | 47421/70000 [16:46:58<8:08:02, 1.30s/step] Training: 68%|██████▊ | 47422/70000 [16:46:59<7:54:59, 1.26s/step] Training: 68%|██████▊ | 47423/70000 [16:47:00<7:50:44, 1.25s/step] Training: 68%|██████▊ | 47424/70000 [16:47:02<7:59:43, 1.27s/step] Training: 68%|██████▊ | 47425/70000 [16:47:03<7:49:55, 1.25s/step] Training: 68%|██████▊ | 47426/70000 [16:47:04<7:47:48, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=56924 Training: 68%|██████▊ | 47427/70000 [16:47:06<7:58:19, 1.27s/step] Training: 68%|██████▊ | 47428/70000 [16:47:07<8:05:08, 1.29s/step] Training: 68%|██████▊ | 47429/70000 [16:47:08<8:11:34, 1.31s/step] Training: 68%|██████▊ | 47430/70000 [16:47:09<7:57:10, 1.27s/step] Training: 68%|██████▊ | 47431/70000 [16:47:11<7:53:03, 1.26s/step] Training: 68%|██████▊ | 47432/70000 [16:47:12<7:49:10, 1.25s/step] Training: 68%|██████▊ | 47433/70000 [16:47:13<7:43:01, 1.23s/step] Training: 68%|██████▊ | 47434/70000 [16:47:14<7:40:26, 1.22s/step] Training: 68%|██████▊ | 47435/70000 [16:47:16<7:51:12, 1.25s/step] Training: 68%|██████▊ | 47436/70000 [16:47:17<7:45:35, 1.24s/step] Training: 68%|██████▊ | 47437/70000 [16:47:18<7:40:17, 1.22s/step] Training: 68%|██████▊ | 47438/70000 [16:47:19<7:36:59, 1.22s/step] Training: 68%|██████▊ | 47439/70000 [16:47:20<7:50:36, 1.25s/step] Training: 68%|██████▊ | 47440/70000 [16:47:22<7:45:26, 1.24s/step] Training: 68%|██████▊ | 47441/70000 [16:47:23<7:39:24, 1.22s/step] Training: 68%|██████▊ | 47442/70000 [16:47:24<7:52:16, 1.26s/step] Training: 68%|██████▊ | 47443/70000 [16:47:26<8:02:11, 1.28s/step] Training: 68%|██████▊ | 47444/70000 [16:47:27<7:56:27, 1.27s/step] Training: 68%|██████▊ | 47445/70000 [16:47:28<7:52:13, 1.26s/step] Training: 68%|██████▊ | 47446/70000 [16:47:29<7:44:33, 1.24s/step] Training: 68%|██████▊ | 47447/70000 [16:47:31<7:54:54, 1.26s/step] Training: 68%|██████▊ | 47448/70000 [16:47:32<8:01:46, 1.28s/step] Training: 68%|██████▊ | 47449/70000 [16:47:33<7:51:06, 1.25s/step] Training: 68%|██████▊ | 47450/70000 [16:47:34<8:00:02, 1.28s/step] Training: 68%|██████▊ | 47451/70000 [16:47:36<8:09:58, 1.30s/step] Training: 68%|██████▊ | 47452/70000 [16:47:37<7:57:43, 1.27s/step] Training: 68%|██████▊ | 47453/70000 [16:47:38<8:07:28, 1.30s/step] Training: 68%|██████▊ | 47454/70000 [16:47:39<7:54:50, 1.26s/step] Training: 68%|██████▊ | 47455/70000 [16:47:41<7:49:04, 1.25s/step] Training: 68%|██████▊ | 47456/70000 [16:47:42<7:59:06, 1.28s/step] Training: 68%|██████▊ | 47457/70000 [16:47:43<7:49:12, 1.25s/step] Training: 68%|██████▊ | 47458/70000 [16:47:44<7:46:15, 1.24s/step] Training: 68%|██████▊ | 47459/70000 [16:47:46<7:44:35, 1.24s/step] Training: 68%|██████▊ | 47460/70000 [16:47:47<8:05:32, 1.29s/step] Training: 68%|██████▊ | 47461/70000 [16:47:48<7:53:51, 1.26s/step] Training: 68%|██████▊ | 47462/70000 [16:47:50<8:06:40, 1.30s/step] Training: 68%|██████▊ | 47463/70000 [16:47:51<7:55:32, 1.27s/step] Training: 68%|██████▊ | 47464/70000 [16:47:52<7:53:24, 1.26s/step] Training: 68%|██████▊ | 47465/70000 [16:47:53<7:44:26, 1.24s/step] Training: 68%|██████▊ | 47466/70000 [16:47:54<7:41:20, 1.23s/step] Training: 68%|██████▊ | 47467/70000 [16:47:56<7:52:56, 1.26s/step] Training: 68%|██████▊ | 47468/70000 [16:47:57<8:01:08, 1.28s/step] Training: 68%|██████▊ | 47469/70000 [16:47:58<7:51:00, 1.25s/step] Training: 68%|██████▊ | 47470/70000 [16:48:00<7:56:17, 1.27s/step] Training: 68%|██████▊ | 47471/70000 [16:48:01<8:02:56, 1.29s/step] Training: 68%|██████▊ | 47472/70000 [16:48:02<7:53:36, 1.26s/step] Training: 68%|██████▊ | 47473/70000 [16:48:03<7:45:10, 1.24s/step] Training: 68%|██████▊ | 47474/70000 [16:48:05<7:55:01, 1.27s/step] Training: 68%|██████▊ | 47475/70000 [16:48:06<8:02:54, 1.29s/step] Training: 68%|██████▊ | 47476/70000 [16:48:07<7:56:31, 1.27s/step] Training: 68%|██████▊ | 47477/70000 [16:48:08<7:48:01, 1.25s/step] Training: 68%|██████▊ | 47478/70000 [16:48:10<7:41:55, 1.23s/step] Training: 68%|██████▊ | 47479/70000 [16:48:11<8:05:38, 1.29s/step] Training: 68%|██████▊ | 47480/70000 [16:48:12<8:11:30, 1.31s/step] Training: 68%|██████▊ | 47481/70000 [16:48:14<7:57:44, 1.27s/step] Training: 68%|██████▊ | 47482/70000 [16:48:15<8:04:48, 1.29s/step] Training: 68%|██████▊ | 47483/70000 [16:48:16<8:14:43, 1.32s/step] Training: 68%|██████▊ | 47484/70000 [16:48:18<8:00:21, 1.28s/step] Training: 68%|██████▊ | 47485/70000 [16:48:19<8:04:20, 1.29s/step] Training: 68%|██████▊ | 47486/70000 [16:48:20<8:11:54, 1.31s/step] Training: 68%|██████▊ | 47487/70000 [16:48:21<8:02:54, 1.29s/step] Training: 68%|██████▊ | 47488/70000 [16:48:23<8:07:47, 1.30s/step] Training: 68%|██████▊ | 47489/70000 [16:48:24<7:55:01, 1.27s/step] Training: 68%|██████▊ | 47490/70000 [16:48:25<7:50:49, 1.25s/step] Training: 68%|██████▊ | 47491/70000 [16:48:26<7:50:39, 1.25s/step] Training: 68%|██████▊ | 47492/70000 [16:48:28<7:58:44, 1.28s/step] Training: 68%|██████▊ | 47493/70000 [16:48:29<7:48:54, 1.25s/step] Training: 68%|██████▊ | 47494/70000 [16:48:30<7:42:00, 1.23s/step] Training: 68%|██████▊ | 47495/70000 [16:48:32<7:57:39, 1.27s/step] Training: 68%|██████▊ | 47496/70000 [16:48:33<7:51:10, 1.26s/step] Training: 68%|██████▊ | 47497/70000 [16:48:34<7:43:32, 1.24s/step] Training: 68%|██████▊ | 47498/70000 [16:48:35<7:41:39, 1.23s/step] Training: 68%|██████▊ | 47499/70000 [16:48:36<7:54:36, 1.27s/step] Training: 68%|██████▊ | 47500/70000 [16:48:38<7:48:14, 1.25s/step]INFO 2026-03-13 12:58:30 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.26 loss:0.009 grdn:0.932 lr:6.6e-06 updt_s:1.242 data_s:0.019 Training: 68%|██████▊ | 47501/70000 [16:48:39<7:41:37, 1.23s/step] Training: 68%|██████▊ | 47502/70000 [16:48:40<7:36:49, 1.22s/step] Training: 68%|██████▊ | 47503/70000 [16:48:42<8:02:46, 1.29s/step] Training: 68%|██████▊ | 47504/70000 [16:48:43<7:54:04, 1.26s/step] Training: 68%|██████▊ | 47505/70000 [16:48:44<7:45:47, 1.24s/step] Training: 68%|██████▊ | 47506/70000 [16:48:45<7:56:17, 1.27s/step] Training: 68%|██████▊ | 47507/70000 [16:48:47<8:03:12, 1.29s/step] Training: 68%|██████▊ | 47508/70000 [16:48:48<7:58:21, 1.28s/step] Training: 68%|██████▊ | 47509/70000 [16:48:49<7:49:59, 1.25s/step] Training: 68%|██████▊ | 47510/70000 [16:48:50<7:43:00, 1.24s/step] Training: 68%|██████▊ | 47511/70000 [16:48:52<7:53:40, 1.26s/step] Training: 68%|██████▊ | 47512/70000 [16:48:53<8:01:12, 1.28s/step] Training: 68%|██████▊ | 47513/70000 [16:48:54<7:50:40, 1.26s/step] Training: 68%|██████▊ | 47514/70000 [16:48:55<7:59:33, 1.28s/step] Training: 68%|██████▊ | 47515/70000 [16:48:57<8:10:13, 1.31s/step] Training: 68%|██████▊ | 47516/70000 [16:48:58<7:56:58, 1.27s/step] Training: 68%|██████▊ | 47517/70000 [16:48:59<8:03:04, 1.29s/step] Training: 68%|██████▊ | 47518/70000 [16:49:00<7:52:10, 1.26s/step] Training: 68%|██████▊ | 47519/70000 [16:49:02<7:51:20, 1.26s/step] Training: 68%|██████▊ | 47520/70000 [16:49:03<7:58:23, 1.28s/step] Training: 68%|██████▊ | 47521/70000 [16:49:04<7:48:24, 1.25s/step] Training: 68%|██████▊ | 47522/70000 [16:49:05<7:46:22, 1.24s/step] Training: 68%|██████▊ | 47523/70000 [16:49:07<7:46:24, 1.25s/step] Training: 68%|██████▊ | 47524/70000 [16:49:08<7:40:02, 1.23s/step] Training: 68%|██████▊ | 47525/70000 [16:49:09<7:35:59, 1.22s/step] Training: 68%|██████▊ | 47526/70000 [16:49:10<7:32:47, 1.21s/step] Training: 68%|██████▊ | 47527/70000 [16:49:12<7:37:38, 1.22s/step] Training: 68%|██████▊ | 47528/70000 [16:49:13<7:37:08, 1.22s/step] Training: 68%|██████▊ | 47529/70000 [16:49:14<7:33:42, 1.21s/step] Training: 68%|██████▊ | 47530/70000 [16:49:15<7:35:52, 1.22s/step] Training: 68%|██████▊ | 47531/70000 [16:49:17<7:49:00, 1.25s/step] Training: 68%|██████▊ | 47532/70000 [16:49:18<7:48:00, 1.25s/step] Training: 68%|██████▊ | 47533/70000 [16:49:19<7:40:31, 1.23s/step] Training: 68%|██████▊ | 47534/70000 [16:49:20<7:35:54, 1.22s/step] Training: 68%|██████▊ | 47535/70000 [16:49:21<7:47:45, 1.25s/step] Training: 68%|██████▊ | 47536/70000 [16:49:23<7:57:38, 1.28s/step] Training: 68%|██████▊ | 47537/70000 [16:49:24<7:47:25, 1.25s/step] Training: 68%|██████▊ | 47538/70000 [16:49:25<7:40:41, 1.23s/step] Training: 68%|██████▊ | 47539/70000 [16:49:27<8:05:16, 1.30s/step] Training: 68%|██████▊ | 47540/70000 [16:49:28<7:56:10, 1.27s/step] Training: 68%|██████▊ | 47541/70000 [16:49:29<7:47:18, 1.25s/step] Training: 68%|██████▊ | 47542/70000 [16:49:30<7:40:24, 1.23s/step] Training: 68%|██████▊ | 47543/70000 [16:49:32<7:51:49, 1.26s/step] Training: 68%|██████▊ | 47544/70000 [16:49:33<8:07:47, 1.30s/step] Training: 68%|██████▊ | 47545/70000 [16:49:34<7:55:17, 1.27s/step] Training: 68%|██████▊ | 47546/70000 [16:49:35<8:01:40, 1.29s/step] Training: 68%|██████▊ | 47547/70000 [16:49:37<8:13:54, 1.32s/step] Training: 68%|██████▊ | 47548/70000 [16:49:38<8:14:31, 1.32s/step] Training: 68%|██████▊ | 47549/70000 [16:49:39<7:59:31, 1.28s/step] Training: 68%|██████▊ | 47550/70000 [16:49:41<7:48:43, 1.25s/step] Training: 68%|██████▊ | 47551/70000 [16:49:42<7:46:53, 1.25s/step] Training: 68%|██████▊ | 47552/70000 [16:49:43<7:59:18, 1.28s/step] Training: 68%|██████▊ | 47553/70000 [16:49:44<7:47:20, 1.25s/step] Training: 68%|██████▊ | 47554/70000 [16:49:46<7:42:28, 1.24s/step] Training: 68%|██████▊ | 47555/70000 [16:49:47<7:45:46, 1.25s/step] Training: 68%|██████▊ | 47556/70000 [16:49:48<7:54:26, 1.27s/step] Training: 68%|██████▊ | 47557/70000 [16:49:49<7:46:15, 1.25s/step] Training: 68%|██████▊ | 47558/70000 [16:49:51<7:40:02, 1.23s/step] Training: 68%|██████▊ | 47559/70000 [16:49:52<7:38:23, 1.23s/step] Training: 68%|██████▊ | 47560/70000 [16:49:53<7:57:19, 1.28s/step] Training: 68%|██████▊ | 47561/70000 [16:49:54<7:46:27, 1.25s/step] Training: 68%|██████▊ | 47562/70000 [16:49:56<7:43:52, 1.24s/step] Training: 68%|██████▊ | 47563/70000 [16:49:57<7:52:54, 1.26s/step] Training: 68%|██████▊ | 47564/70000 [16:49:58<7:49:18, 1.26s/step] Training: 68%|██████▊ | 47565/70000 [16:49:59<7:41:33, 1.23s/step] Training: 68%|██████▊ | 47566/70000 [16:50:00<7:36:41, 1.22s/step] Training: 68%|██████▊ | 47567/70000 [16:50:02<7:49:15, 1.26s/step] Training: 68%|██████▊ | 47568/70000 [16:50:03<7:44:00, 1.24s/step] Training: 68%|██████▊ | 47569/70000 [16:50:04<7:55:36, 1.27s/step] Training: 68%|██████▊ | 47570/70000 [16:50:06<7:45:18, 1.24s/step] Training: 68%|██████▊ | 47571/70000 [16:50:07<8:07:55, 1.31s/step] Training: 68%|██████▊ | 47572/70000 [16:50:08<7:58:33, 1.28s/step] Training: 68%|██████▊ | 47573/70000 [16:50:09<7:48:30, 1.25s/step] Training: 68%|██████▊ | 47574/70000 [16:50:11<7:43:34, 1.24s/step] Training: 68%|██████▊ | 47575/70000 [16:50:12<7:55:54, 1.27s/step] Training: 68%|██████▊ | 47576/70000 [16:50:13<8:02:40, 1.29s/step] Training: 68%|██████▊ | 47577/70000 [16:50:15<8:09:05, 1.31s/step] Training: 68%|██████▊ | 47578/70000 [16:50:16<8:10:17, 1.31s/step] Training: 68%|██████▊ | 47579/70000 [16:50:17<8:27:58, 1.36s/step] Training: 68%|██████▊ | 47580/70000 [16:50:19<8:25:01, 1.35s/step] Training: 68%|██████▊ | 47581/70000 [16:50:20<8:07:21, 1.30s/step] Training: 68%|██████▊ | 47582/70000 [16:50:21<7:54:42, 1.27s/step] Training: 68%|██████▊ | 47583/70000 [16:50:22<7:49:56, 1.26s/step] Training: 68%|██████▊ | 47584/70000 [16:50:24<7:58:30, 1.28s/step] Training: 68%|██████▊ | 47585/70000 [16:50:25<8:04:53, 1.30s/step] Training: 68%|██████▊ | 47586/70000 [16:50:26<7:54:52, 1.27s/step] Training: 68%|██████▊ | 47587/70000 [16:50:28<7:52:04, 1.26s/step] Training: 68%|██████▊ | 47588/70000 [16:50:29<7:59:17, 1.28s/step] Training: 68%|██████▊ | 47589/70000 [16:50:30<7:48:54, 1.26s/step] Training: 68%|██████▊ | 47590/70000 [16:50:31<7:41:39, 1.24s/step] Training: 68%|██████▊ | 47591/70000 [16:50:32<7:37:18, 1.22s/step] Training: 68%|██████▊ | 47592/70000 [16:50:34<7:38:03, 1.23s/step] Training: 68%|██████▊ | 47593/70000 [16:50:35<7:51:29, 1.26s/step] Training: 68%|██████▊ | 47594/70000 [16:50:36<7:46:27, 1.25s/step] Training: 68%|██████▊ | 47595/70000 [16:50:38<7:56:28, 1.28s/step] Training: 68%|██████▊ | 47596/70000 [16:50:39<7:51:19, 1.26s/step] Training: 68%|██████▊ | 47597/70000 [16:50:40<7:43:26, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=61422 Training: 68%|██████▊ | 47598/70000 [16:50:41<7:37:16, 1.22s/step] Training: 68%|██████▊ | 47599/70000 [16:50:42<7:48:38, 1.26s/step] Training: 68%|██████▊ | 47600/70000 [16:50:44<7:42:41, 1.24s/step]INFO 2026-03-13 13:00:36 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.35 loss:0.010 grdn:0.956 lr:6.6e-06 updt_s:1.239 data_s:0.019 Training: 68%|██████▊ | 47601/70000 [16:50:45<7:41:52, 1.24s/step] Training: 68%|██████▊ | 47602/70000 [16:50:46<7:35:50, 1.22s/step] Training: 68%|██████▊ | 47603/70000 [16:50:48<7:59:40, 1.29s/step] Training: 68%|██████▊ | 47604/70000 [16:50:49<8:03:15, 1.29s/step] Training: 68%|██████▊ | 47605/70000 [16:50:50<7:51:09, 1.26s/step] Training: 68%|██████▊ | 47606/70000 [16:50:51<7:43:05, 1.24s/step] Training: 68%|██████▊ | 47607/70000 [16:50:53<7:51:56, 1.26s/step] Training: 68%|██████▊ | 47608/70000 [16:50:54<7:59:02, 1.28s/step] Training: 68%|██████▊ | 47609/70000 [16:50:55<7:48:54, 1.26s/step] Training: 68%|██████▊ | 47610/70000 [16:50:56<7:58:25, 1.28s/step] Training: 68%|██████▊ | 47611/70000 [16:50:58<8:06:54, 1.30s/step] Training: 68%|██████▊ | 47612/70000 [16:50:59<8:21:42, 1.34s/step] Training: 68%|██████▊ | 47613/70000 [16:51:00<8:05:36, 1.30s/step] Training: 68%|██████▊ | 47614/70000 [16:51:02<7:52:40, 1.27s/step] Training: 68%|██████▊ | 47615/70000 [16:51:03<7:48:12, 1.25s/step] Training: 68%|██████▊ | 47616/70000 [16:51:04<7:57:31, 1.28s/step] Training: 68%|██████▊ | 47617/70000 [16:51:05<7:47:02, 1.25s/step] Training: 68%|██████▊ | 47618/70000 [16:51:07<7:51:55, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=63218 Training: 68%|██████▊ | 47619/70000 [16:51:08<7:48:02, 1.25s/step] Training: 68%|██████▊ | 47620/70000 [16:51:09<7:56:38, 1.28s/step] Training: 68%|██████▊ | 47621/70000 [16:51:10<7:46:55, 1.25s/step] Training: 68%|██████▊ | 47622/70000 [16:51:12<7:39:40, 1.23s/step] Training: 68%|██████▊ | 47623/70000 [16:51:13<7:36:28, 1.22s/step] Training: 68%|██████▊ | 47624/70000 [16:51:14<7:36:29, 1.22s/step] Training: 68%|██████▊ | 47625/70000 [16:51:15<7:32:46, 1.21s/step] Training: 68%|██████▊ | 47626/70000 [16:51:17<7:48:22, 1.26s/step] Training: 68%|██████▊ | 47627/70000 [16:51:18<7:54:35, 1.27s/step] Training: 68%|██████▊ | 47628/70000 [16:51:19<7:58:46, 1.28s/step] Training: 68%|██████▊ | 47629/70000 [16:51:20<7:48:17, 1.26s/step] Training: 68%|██████▊ | 47630/70000 [16:51:22<7:40:42, 1.24s/step] Training: 68%|██████▊ | 47631/70000 [16:51:23<7:51:38, 1.27s/step] Training: 68%|██████▊ | 47632/70000 [16:51:24<7:45:03, 1.25s/step] Training: 68%|██████▊ | 47633/70000 [16:51:25<7:38:51, 1.23s/step] Training: 68%|██████▊ | 47634/70000 [16:51:27<7:52:51, 1.27s/step] Training: 68%|██████▊ | 47635/70000 [16:51:28<7:58:50, 1.28s/step] Training: 68%|██████▊ | 47636/70000 [16:51:29<8:03:42, 1.30s/step] Training: 68%|██████▊ | 47637/70000 [16:51:30<7:51:33, 1.27s/step] Training: 68%|██████▊ | 47638/70000 [16:51:32<7:43:10, 1.24s/step] Training: 68%|██████▊ | 47639/70000 [16:51:33<7:52:02, 1.27s/step] Training: 68%|██████▊ | 47640/70000 [16:51:34<7:58:53, 1.29s/step] Training: 68%|██████▊ | 47641/70000 [16:51:36<7:47:52, 1.26s/step] Training: 68%|██████▊ | 47642/70000 [16:51:37<7:56:01, 1.28s/step] Training: 68%|██████▊ | 47643/70000 [16:51:38<8:15:43, 1.33s/step] Training: 68%|██████▊ | 47644/70000 [16:51:40<8:16:56, 1.33s/step] Training: 68%|██████▊ | 47645/70000 [16:51:41<8:01:15, 1.29s/step] Training: 68%|██████▊ | 47646/70000 [16:51:42<7:49:40, 1.26s/step] Training: 68%|██████▊ | 47647/70000 [16:51:43<7:46:40, 1.25s/step] Training: 68%|██████▊ | 47648/70000 [16:51:45<7:55:18, 1.28s/step] Training: 68%|██████▊ | 47649/70000 [16:51:46<7:45:36, 1.25s/step] Training: 68%|██████▊ | 47650/70000 [16:51:47<7:42:52, 1.24s/step] Training: 68%|██████▊ | 47651/70000 [16:51:48<7:54:07, 1.27s/step] Training: 68%|██████▊ | 47652/70000 [16:51:50<7:59:02, 1.29s/step] Training: 68%|██████▊ | 47653/70000 [16:51:51<7:48:34, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=61422 Training: 68%|██████▊ | 47654/70000 [16:51:52<7:41:29, 1.24s/step] Training: 68%|██████▊ | 47655/70000 [16:51:53<7:38:41, 1.23s/step] Training: 68%|██████▊ | 47656/70000 [16:51:54<7:38:37, 1.23s/step] Training: 68%|██████▊ | 47657/70000 [16:51:56<7:33:57, 1.22s/step] Training: 68%|██████▊ | 47658/70000 [16:51:57<7:32:00, 1.21s/step] Training: 68%|██████▊ | 47659/70000 [16:51:58<7:58:19, 1.28s/step] Training: 68%|██████▊ | 47660/70000 [16:52:00<8:08:01, 1.31s/step] Training: 68%|██████▊ | 47661/70000 [16:52:01<7:54:01, 1.27s/step] Training: 68%|██████▊ | 47662/70000 [16:52:02<7:45:23, 1.25s/step] Training: 68%|██████▊ | 47663/70000 [16:52:03<7:53:42, 1.27s/step] Training: 68%|██████▊ | 47664/70000 [16:52:05<7:45:54, 1.25s/step] Training: 68%|██████▊ | 47665/70000 [16:52:06<7:38:40, 1.23s/step] Training: 68%|██████▊ | 47666/70000 [16:52:07<7:50:06, 1.26s/step] Training: 68%|██████▊ | 47667/70000 [16:52:09<8:01:23, 1.29s/step] Training: 68%|██████▊ | 47668/70000 [16:52:10<8:03:33, 1.30s/step] Training: 68%|██████▊ | 47669/70000 [16:52:11<7:51:11, 1.27s/step] Training: 68%|██████▊ | 47670/70000 [16:52:12<7:42:23, 1.24s/step] Training: 68%|██████▊ | 47671/70000 [16:52:14<7:51:40, 1.27s/step] Training: 68%|██████▊ | 47672/70000 [16:52:15<8:00:51, 1.29s/step] Training: 68%|██████▊ | 47673/70000 [16:52:16<7:49:45, 1.26s/step] Training: 68%|██████▊ | 47674/70000 [16:52:17<7:56:59, 1.28s/step] Training: 68%|██████▊ | 47675/70000 [16:52:19<8:07:12, 1.31s/step] Training: 68%|██████▊ | 47676/70000 [16:52:20<8:09:19, 1.32s/step] Training: 68%|██████▊ | 47677/70000 [16:52:21<7:55:39, 1.28s/step] Training: 68%|██████▊ | 47678/70000 [16:52:22<7:45:29, 1.25s/step] Training: 68%|██████▊ | 47679/70000 [16:52:24<7:42:01, 1.24s/step] Training: 68%|██████▊ | 47680/70000 [16:52:25<7:51:39, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=65102 Training: 68%|██████▊ | 47681/70000 [16:52:26<7:42:51, 1.24s/step] Training: 68%|██████▊ | 47682/70000 [16:52:27<7:41:03, 1.24s/step] Training: 68%|██████▊ | 47683/70000 [16:52:29<7:43:26, 1.25s/step] Training: 68%|██████▊ | 47684/70000 [16:52:30<8:06:42, 1.31s/step] Training: 68%|██████▊ | 47685/70000 [16:52:31<7:53:20, 1.27s/step] Training: 68%|██████▊ | 47686/70000 [16:52:33<7:43:45, 1.25s/step] Training: 68%|██████▊ | 47687/70000 [16:52:34<7:39:14, 1.23s/step] Training: 68%|██████▊ | 47688/70000 [16:52:35<7:38:20, 1.23s/step] Training: 68%|██████▊ | 47689/70000 [16:52:36<7:33:58, 1.22s/step] Training: 68%|██████▊ | 47690/70000 [16:52:37<7:33:03, 1.22s/step] Training: 68%|██████▊ | 47691/70000 [16:52:39<7:44:30, 1.25s/step] Training: 68%|██████▊ | 47692/70000 [16:52:40<8:02:55, 1.30s/step] Training: 68%|██████▊ | 47693/70000 [16:52:41<7:50:26, 1.27s/step] Training: 68%|██████▊ | 47694/70000 [16:52:42<7:42:10, 1.24s/step] Training: 68%|██████▊ | 47695/70000 [16:52:44<7:51:34, 1.27s/step] Training: 68%|██████▊ | 47696/70000 [16:52:45<7:45:06, 1.25s/step] Training: 68%|██████▊ | 47697/70000 [16:52:46<7:38:04, 1.23s/step] Training: 68%|██████▊ | 47698/70000 [16:52:48<7:49:19, 1.26s/step] Training: 68%|██████▊ | 47699/70000 [16:52:49<7:57:51, 1.29s/step] Training: 68%|██████▊ | 47700/70000 [16:52:50<8:06:22, 1.31s/step]INFO 2026-03-13 13:02:42 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.43 loss:0.009 grdn:1.007 lr:6.5e-06 updt_s:1.245 data_s:0.019 Training: 68%|██████▊ | 47701/70000 [16:52:51<7:52:08, 1.27s/step] Training: 68%|██████▊ | 47702/70000 [16:52:53<7:43:39, 1.25s/step] Training: 68%|██████▊ | 47703/70000 [16:52:54<7:51:52, 1.27s/step] Training: 68%|██████▊ | 47704/70000 [16:52:55<7:57:40, 1.29s/step] Training: 68%|██████▊ | 47705/70000 [16:52:56<7:47:10, 1.26s/step] Training: 68%|██████▊ | 47706/70000 [16:52:58<7:54:51, 1.28s/step] Training: 68%|██████▊ | 47707/70000 [16:52:59<8:04:00, 1.30s/step] Training: 68%|██████▊ | 47708/70000 [16:53:00<7:52:58, 1.27s/step] Training: 68%|██████▊ | 47709/70000 [16:53:02<8:00:46, 1.29s/step] Training: 68%|██████▊ | 47710/70000 [16:53:03<7:48:24, 1.26s/step] Training: 68%|██████▊ | 47711/70000 [16:53:04<7:44:07, 1.25s/step] Training: 68%|██████▊ | 47712/70000 [16:53:05<7:53:23, 1.27s/step] Training: 68%|██████▊ | 47713/70000 [16:53:07<7:43:58, 1.25s/step] Training: 68%|██████▊ | 47714/70000 [16:53:08<7:40:56, 1.24s/step] Training: 68%|██████▊ | 47715/70000 [16:53:09<7:38:13, 1.23s/step] Training: 68%|██████▊ | 47716/70000 [16:53:10<7:49:39, 1.26s/step] Training: 68%|██████▊ | 47717/70000 [16:53:12<7:59:00, 1.29s/step] Training: 68%|██████▊ | 47718/70000 [16:53:13<7:46:54, 1.26s/step] Training: 68%|██████▊ | 47719/70000 [16:53:14<7:41:37, 1.24s/step] Training: 68%|██████▊ | 47720/70000 [16:53:15<7:39:46, 1.24s/step] Training: 68%|██████▊ | 47721/70000 [16:53:17<7:34:01, 1.22s/step] Training: 68%|██████▊ | 47722/70000 [16:53:18<7:32:45, 1.22s/step] Training: 68%|██████▊ | 47723/70000 [16:53:19<7:45:25, 1.25s/step] Training: 68%|██████▊ | 47724/70000 [16:53:20<7:54:44, 1.28s/step] Training: 68%|██████▊ | 47725/70000 [16:53:22<8:05:38, 1.31s/step] Training: 68%|██████▊ | 47726/70000 [16:53:23<7:51:39, 1.27s/step] Training: 68%|██████▊ | 47727/70000 [16:53:24<7:57:17, 1.29s/step] Training: 68%|██████▊ | 47728/70000 [16:53:26<7:48:55, 1.26s/step] Training: 68%|██████▊ | 47729/70000 [16:53:27<7:40:43, 1.24s/step] Training: 68%|██████▊ | 47730/70000 [16:53:28<7:49:39, 1.27s/step] Training: 68%|██████▊ | 47731/70000 [16:53:29<7:55:13, 1.28s/step] Training: 68%|██████▊ | 47732/70000 [16:53:31<8:00:44, 1.30s/step] Training: 68%|██████▊ | 47733/70000 [16:53:32<7:49:02, 1.26s/step] Training: 68%|██████▊ | 47734/70000 [16:53:33<7:57:35, 1.29s/step] Training: 68%|██████▊ | 47735/70000 [16:53:35<8:01:35, 1.30s/step] Training: 68%|██████▊ | 47736/70000 [16:53:36<8:04:19, 1.31s/step] Training: 68%|██████▊ | 47737/70000 [16:53:37<7:51:12, 1.27s/step] Training: 68%|██████▊ | 47738/70000 [16:53:38<7:57:37, 1.29s/step] Training: 68%|██████▊ | 47739/70000 [16:53:40<8:05:19, 1.31s/step] Training: 68%|██████▊ | 47740/70000 [16:53:41<7:53:17, 1.28s/step] Training: 68%|██████▊ | 47741/70000 [16:53:42<7:56:17, 1.28s/step] Training: 68%|██████▊ | 47742/70000 [16:53:44<8:03:02, 1.30s/step] Training: 68%|██████▊ | 47743/70000 [16:53:45<7:53:36, 1.28s/step] Training: 68%|██████▊ | 47744/70000 [16:53:46<7:58:44, 1.29s/step] Training: 68%|██████▊ | 47745/70000 [16:53:47<7:47:16, 1.26s/step] Training: 68%|██████▊ | 47746/70000 [16:53:49<7:44:13, 1.25s/step] Training: 68%|██████▊ | 47747/70000 [16:53:50<7:42:17, 1.25s/step] Training: 68%|██████▊ | 47748/70000 [16:53:51<7:52:18, 1.27s/step] Training: 68%|██████▊ | 47749/70000 [16:53:52<7:42:56, 1.25s/step] Training: 68%|██████▊ | 47750/70000 [16:53:53<7:36:14, 1.23s/step] Training: 68%|██████▊ | 47751/70000 [16:53:55<7:34:27, 1.23s/step] Training: 68%|██████▊ | 47752/70000 [16:53:56<7:34:31, 1.23s/step] Training: 68%|██████▊ | 47753/70000 [16:53:57<7:30:40, 1.22s/step] Training: 68%|██████▊ | 47754/70000 [16:53:58<7:30:54, 1.22s/step] Training: 68%|██████▊ | 47755/70000 [16:54:00<7:43:20, 1.25s/step] Training: 68%|██████▊ | 47756/70000 [16:54:01<7:38:48, 1.24s/step] Training: 68%|██████▊ | 47757/70000 [16:54:02<7:47:41, 1.26s/step] Training: 68%|██████▊ | 47758/70000 [16:54:03<7:45:58, 1.26s/step] Training: 68%|██████▊ | 47759/70000 [16:54:05<7:53:43, 1.28s/step] Training: 68%|██████▊ | 47760/70000 [16:54:06<7:45:52, 1.26s/step] Training: 68%|██████▊ | 47761/70000 [16:54:07<7:38:21, 1.24s/step] Training: 68%|██████▊ | 47762/70000 [16:54:08<7:48:55, 1.27s/step] Training: 68%|██████▊ | 47763/70000 [16:54:10<7:55:33, 1.28s/step] Training: 68%|██████▊ | 47764/70000 [16:54:11<7:51:17, 1.27s/step] Training: 68%|██████▊ | 47765/70000 [16:54:12<7:56:14, 1.29s/step] Training: 68%|██████▊ | 47766/70000 [16:54:14<7:51:16, 1.27s/step] Training: 68%|██████▊ | 47767/70000 [16:54:15<7:56:41, 1.29s/step] Training: 68%|██████▊ | 47768/70000 [16:54:16<7:45:46, 1.26s/step] Training: 68%|██████▊ | 47769/70000 [16:54:17<7:51:35, 1.27s/step] Training: 68%|██████▊ | 47770/70000 [16:54:19<7:57:17, 1.29s/step] Training: 68%|██████▊ | 47771/70000 [16:54:20<7:50:52, 1.27s/step] Training: 68%|██████▊ | 47772/70000 [16:54:21<7:41:49, 1.25s/step] Training: 68%|██████▊ | 47773/70000 [16:54:23<7:50:44, 1.27s/step] Training: 68%|██████▊ | 47774/70000 [16:54:24<7:41:47, 1.25s/step] Training: 68%|██████▊ | 47775/70000 [16:54:25<7:52:44, 1.28s/step] Training: 68%|██████▊ | 47776/70000 [16:54:26<7:42:24, 1.25s/step] Training: 68%|██████▊ | 47777/70000 [16:54:27<7:42:04, 1.25s/step] Training: 68%|██████▊ | 47778/70000 [16:54:29<7:40:43, 1.24s/step] Training: 68%|██████▊ | 47779/70000 [16:54:30<7:42:11, 1.25s/step] Training: 68%|██████▊ | 47780/70000 [16:54:31<7:35:39, 1.23s/step] Training: 68%|██████▊ | 47781/70000 [16:54:32<7:32:31, 1.22s/step] Training: 68%|██████▊ | 47782/70000 [16:54:34<7:29:15, 1.21s/step] Training: 68%|██████▊ | 47783/70000 [16:54:35<7:37:59, 1.24s/step] Training: 68%|██████▊ | 47784/70000 [16:54:36<7:32:31, 1.22s/step] Training: 68%|██████▊ | 47785/70000 [16:54:37<7:31:16, 1.22s/step] Training: 68%|██████▊ | 47786/70000 [16:54:38<7:30:29, 1.22s/step] Training: 68%|██████▊ | 47787/70000 [16:54:40<7:42:34, 1.25s/step] Training: 68%|██████▊ | 47788/70000 [16:54:41<7:40:32, 1.24s/step] Training: 68%|██████▊ | 47789/70000 [16:54:42<7:38:49, 1.24s/step] Training: 68%|██████▊ | 47790/70000 [16:54:43<7:33:23, 1.22s/step] Training: 68%|██████▊ | 47791/70000 [16:54:45<7:48:01, 1.26s/step] Training: 68%|██████▊ | 47792/70000 [16:54:46<7:38:03, 1.24s/step] Training: 68%|██████▊ | 47793/70000 [16:54:47<7:47:17, 1.26s/step] Training: 68%|██████▊ | 47794/70000 [16:54:49<7:54:32, 1.28s/step] Training: 68%|██████▊ | 47795/70000 [16:54:50<8:00:15, 1.30s/step] Training: 68%|██████▊ | 47796/70000 [16:54:51<7:52:02, 1.28s/step] Training: 68%|██████▊ | 47797/70000 [16:54:52<7:42:52, 1.25s/step] Training: 68%|██████▊ | 47798/70000 [16:54:54<7:49:24, 1.27s/step] Training: 68%|██████▊ | 47799/70000 [16:54:55<7:59:19, 1.30s/step] Training: 68%|██████▊ | 47800/70000 [16:54:56<7:46:23, 1.26s/step]INFO 2026-03-13 13:04:48 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.52 loss:0.009 grdn:0.895 lr:6.5e-06 updt_s:1.239 data_s:0.019 Training: 68%|██████▊ | 47801/70000 [16:54:58<7:54:24, 1.28s/step] Training: 68%|██████▊ | 47802/70000 [16:54:59<7:59:12, 1.30s/step] Training: 68%|██████▊ | 47803/70000 [16:55:00<8:08:37, 1.32s/step] Training: 68%|██████▊ | 47804/70000 [16:55:02<8:09:58, 1.32s/step] Training: 68%|██████▊ | 47805/70000 [16:55:03<7:54:56, 1.28s/step] Training: 68%|██████▊ | 47806/70000 [16:55:04<7:44:22, 1.26s/step] Training: 68%|██████▊ | 47807/70000 [16:55:05<7:41:44, 1.25s/step] Training: 68%|██████▊ | 47808/70000 [16:55:07<7:51:35, 1.28s/step] Training: 68%|██████▊ | 47809/70000 [16:55:08<7:55:44, 1.29s/step] Training: 68%|██████▊ | 47810/70000 [16:55:09<7:48:41, 1.27s/step] Training: 68%|██████▊ | 47811/70000 [16:55:10<7:45:43, 1.26s/step] Training: 68%|██████▊ | 47812/70000 [16:55:12<7:53:42, 1.28s/step] Training: 68%|██████▊ | 47813/70000 [16:55:13<7:47:53, 1.27s/step] Training: 68%|██████▊ | 47814/70000 [16:55:14<7:39:33, 1.24s/step] Training: 68%|██████▊ | 47815/70000 [16:55:15<7:35:37, 1.23s/step] Training: 68%|██████▊ | 47816/70000 [16:55:17<7:47:30, 1.26s/step] Training: 68%|██████▊ | 47817/70000 [16:55:18<7:40:27, 1.25s/step] Training: 68%|██████▊ | 47818/70000 [16:55:19<7:35:53, 1.23s/step] Training: 68%|██████▊ | 47819/70000 [16:55:20<7:45:35, 1.26s/step] Training: 68%|██████▊ | 47820/70000 [16:55:22<7:43:16, 1.25s/step] Training: 68%|██████▊ | 47821/70000 [16:55:23<7:37:00, 1.24s/step] Training: 68%|██████▊ | 47822/70000 [16:55:24<7:31:46, 1.22s/step] Training: 68%|██████▊ | 47823/70000 [16:55:25<7:43:07, 1.25s/step] Training: 68%|██████▊ | 47824/70000 [16:55:26<7:39:14, 1.24s/step] Training: 68%|██████▊ | 47825/70000 [16:55:28<7:48:44, 1.27s/step] Training: 68%|██████▊ | 47826/70000 [16:55:29<7:54:47, 1.28s/step] Training: 68%|██████▊ | 47827/70000 [16:55:30<7:58:34, 1.30s/step] Training: 68%|██████▊ | 47828/70000 [16:55:32<7:49:35, 1.27s/step] Training: 68%|██████▊ | 47829/70000 [16:55:33<7:55:50, 1.29s/step] Training: 68%|██████▊ | 47830/70000 [16:55:34<7:44:52, 1.26s/step] Training: 68%|██████▊ | 47831/70000 [16:55:36<7:51:36, 1.28s/step] Training: 68%|██████▊ | 47832/70000 [16:55:37<7:49:39, 1.27s/step] Training: 68%|██████▊ | 47833/70000 [16:55:38<7:54:55, 1.29s/step] Training: 68%|██████▊ | 47834/70000 [16:55:39<7:58:45, 1.30s/step] Training: 68%|██████▊ | 47835/70000 [16:55:41<8:06:27, 1.32s/step] Training: 68%|██████▊ | 47836/70000 [16:55:42<8:08:51, 1.32s/step] Training: 68%|██████▊ | 47837/70000 [16:55:43<8:08:46, 1.32s/step] Training: 68%|██████▊ | 47838/70000 [16:55:45<7:53:54, 1.28s/step] Training: 68%|██████▊ | 47839/70000 [16:55:46<7:46:43, 1.26s/step] Training: 68%|██████▊ | 47840/70000 [16:55:47<7:37:56, 1.24s/step] Training: 68%|██████▊ | 47841/70000 [16:55:48<7:56:42, 1.29s/step] Training: 68%|██████▊ | 47842/70000 [16:55:50<7:50:42, 1.27s/step] Training: 68%|██████▊ | 47843/70000 [16:55:51<7:47:47, 1.27s/step] Training: 68%|██████▊ | 47844/70000 [16:55:52<7:54:48, 1.29s/step] Training: 68%|██████▊ | 47845/70000 [16:55:53<7:48:17, 1.27s/step] Training: 68%|██████▊ | 47846/70000 [16:55:55<7:39:02, 1.24s/step] Training: 68%|██████▊ | 47847/70000 [16:55:56<7:36:29, 1.24s/step] Training: 68%|██████▊ | 47848/70000 [16:55:57<7:31:04, 1.22s/step] Training: 68%|██████▊ | 47849/70000 [16:55:58<7:37:30, 1.24s/step] Training: 68%|██████▊ | 47850/70000 [16:56:00<7:34:56, 1.23s/step] Training: 68%|██████▊ | 47851/70000 [16:56:01<7:45:35, 1.26s/step] Training: 68%|██████▊ | 47852/70000 [16:56:02<7:43:42, 1.26s/step] Training: 68%|██████▊ | 47853/70000 [16:56:03<7:38:19, 1.24s/step] Training: 68%|██████▊ | 47854/70000 [16:56:05<7:32:34, 1.23s/step] Training: 68%|██████▊ | 47855/70000 [16:56:06<7:43:55, 1.26s/step] Training: 68%|██████▊ | 47856/70000 [16:56:07<7:36:13, 1.24s/step] Training: 68%|██████▊ | 47857/70000 [16:56:08<7:45:52, 1.26s/step] Training: 68%|██████▊ | 47858/70000 [16:56:10<8:06:27, 1.32s/step] Training: 68%|██████▊ | 47859/70000 [16:56:11<8:07:42, 1.32s/step] Training: 68%|██████▊ | 47860/70000 [16:56:12<8:07:24, 1.32s/step] Training: 68%|██████▊ | 47861/70000 [16:56:14<8:08:01, 1.32s/step] Training: 68%|██████▊ | 47862/70000 [16:56:15<7:53:21, 1.28s/step] Training: 68%|██████▊ | 47863/70000 [16:56:16<7:58:07, 1.30s/step] Training: 68%|██████▊ | 47864/70000 [16:56:18<7:46:07, 1.26s/step] Training: 68%|██████▊ | 47865/70000 [16:56:19<7:57:33, 1.29s/step] Training: 68%|██████▊ | 47866/70000 [16:56:20<8:00:21, 1.30s/step] Training: 68%|██████▊ | 47867/70000 [16:56:21<7:52:12, 1.28s/step] Training: 68%|██████▊ | 47868/70000 [16:56:23<8:05:21, 1.32s/step] Training: 68%|██████▊ | 47869/70000 [16:56:24<8:06:35, 1.32s/step] Training: 68%|██████▊ | 47870/70000 [16:56:25<7:52:03, 1.28s/step] Training: 68%|██████▊ | 47871/70000 [16:56:27<7:45:49, 1.26s/step] Training: 68%|██████▊ | 47872/70000 [16:56:28<7:38:00, 1.24s/step] Training: 68%|██████▊ | 47873/70000 [16:56:29<7:47:42, 1.27s/step] Training: 68%|██████▊ | 47874/70000 [16:56:30<7:55:27, 1.29s/step] Training: 68%|██████▊ | 47875/70000 [16:56:32<7:44:41, 1.26s/step] Training: 68%|██████▊ | 47876/70000 [16:56:33<7:51:51, 1.28s/step] Training: 68%|██████▊ | 47877/70000 [16:56:34<7:45:27, 1.26s/step] Training: 68%|██████▊ | 47878/70000 [16:56:35<7:37:25, 1.24s/step] Training: 68%|██████▊ | 47879/70000 [16:56:37<7:33:41, 1.23s/step] Training: 68%|██████▊ | 47880/70000 [16:56:38<7:28:48, 1.22s/step] Training: 68%|██████▊ | 47881/70000 [16:56:39<7:36:48, 1.24s/step] Training: 68%|██████▊ | 47882/70000 [16:56:40<7:48:12, 1.27s/step] Training: 68%|██████▊ | 47883/70000 [16:56:42<7:53:25, 1.28s/step] Training: 68%|██████▊ | 47884/70000 [16:56:43<8:04:05, 1.31s/step] Training: 68%|██████▊ | 47885/70000 [16:56:44<7:52:18, 1.28s/step] Training: 68%|██████▊ | 47886/70000 [16:56:45<7:41:51, 1.25s/step] Training: 68%|██████▊ | 47887/70000 [16:56:47<7:49:55, 1.28s/step] Training: 68%|██████▊ | 47888/70000 [16:56:48<7:40:15, 1.25s/step] Training: 68%|██████▊ | 47889/70000 [16:56:49<7:33:29, 1.23s/step] Training: 68%|██████▊ | 47890/70000 [16:56:51<7:45:48, 1.26s/step] Training: 68%|██████▊ | 47891/70000 [16:56:52<7:52:16, 1.28s/step] Training: 68%|██████▊ | 47892/70000 [16:56:53<7:57:48, 1.30s/step] Training: 68%|██████▊ | 47893/70000 [16:56:55<8:02:08, 1.31s/step] Training: 68%|██████▊ | 47894/70000 [16:56:56<7:48:33, 1.27s/step] Training: 68%|██████▊ | 47895/70000 [16:56:57<7:54:26, 1.29s/step] Training: 68%|██████▊ | 47896/70000 [16:56:58<7:43:28, 1.26s/step] Training: 68%|██████▊ | 47897/70000 [16:56:59<7:36:04, 1.24s/step] Training: 68%|██████▊ | 47898/70000 [16:57:01<7:51:58, 1.28s/step] Training: 68%|██████▊ | 47899/70000 [16:57:02<7:45:35, 1.26s/step] Training: 68%|██████▊ | 47900/70000 [16:57:03<7:52:48, 1.28s/step]INFO 2026-03-13 13:06:55 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.60 loss:0.009 grdn:1.371 lr:6.5e-06 updt_s:1.250 data_s:0.019 Training: 68%|██████▊ | 47901/70000 [16:57:05<7:57:54, 1.30s/step] Training: 68%|██████▊ | 47902/70000 [16:57:06<7:45:41, 1.26s/step] Training: 68%|██████▊ | 47903/70000 [16:57:07<7:42:20, 1.26s/step] Training: 68%|██████▊ | 47904/70000 [16:57:08<7:34:47, 1.23s/step] Training: 68%|██████▊ | 47905/70000 [16:57:10<7:33:23, 1.23s/step] Training: 68%|██████▊ | 47906/70000 [16:57:11<7:37:51, 1.24s/step] Training: 68%|██████▊ | 47907/70000 [16:57:12<7:31:36, 1.23s/step] Training: 68%|██████▊ | 47908/70000 [16:57:13<7:42:12, 1.26s/step] Training: 68%|██████▊ | 47909/70000 [16:57:14<7:36:58, 1.24s/step] Training: 68%|██████▊ | 47910/70000 [16:57:16<7:30:49, 1.22s/step] Training: 68%|██████▊ | 47911/70000 [16:57:17<7:31:07, 1.23s/step] Training: 68%|██████▊ | 47912/70000 [16:57:18<7:27:10, 1.21s/step] Training: 68%|██████▊ | 47913/70000 [16:57:19<7:27:28, 1.22s/step] Training: 68%|██████▊ | 47914/70000 [16:57:21<7:28:37, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56924 Training: 68%|██████▊ | 47915/70000 [16:57:22<7:51:05, 1.28s/step] Training: 68%|██████▊ | 47916/70000 [16:57:23<8:01:22, 1.31s/step] Training: 68%|██████▊ | 47917/70000 [16:57:25<7:52:53, 1.28s/step] Training: 68%|██████▊ | 47918/70000 [16:57:26<7:41:52, 1.25s/step] Training: 68%|██████▊ | 47919/70000 [16:57:27<7:34:44, 1.24s/step] Training: 68%|██████▊ | 47920/70000 [16:57:28<7:44:09, 1.26s/step] Training: 68%|██████▊ | 47921/70000 [16:57:30<7:52:34, 1.28s/step] Training: 68%|██████▊ | 47922/70000 [16:57:31<7:42:05, 1.26s/step] Training: 68%|██████▊ | 47923/70000 [16:57:32<8:00:29, 1.31s/step] Training: 68%|██████▊ | 47924/70000 [16:57:34<8:03:14, 1.31s/step] Training: 68%|██████▊ | 47925/70000 [16:57:35<7:49:33, 1.28s/step] Training: 68%|██████▊ | 47926/70000 [16:57:36<7:53:13, 1.29s/step] Training: 68%|██████▊ | 47927/70000 [16:57:37<7:42:39, 1.26s/step] Training: 68%|██████▊ | 47928/70000 [16:57:38<7:35:16, 1.24s/step] Training: 68%|██████▊ | 47929/70000 [16:57:40<7:45:19, 1.27s/step] Training: 68%|██████▊ | 47930/70000 [16:57:41<7:36:43, 1.24s/step] Training: 68%|██████▊ | 47931/70000 [16:57:42<7:52:22, 1.28s/step] Training: 68%|██████▊ | 47932/70000 [16:57:44<7:56:27, 1.30s/step] Training: 68%|██████▊ | 47933/70000 [16:57:45<7:59:08, 1.30s/step] Training: 68%|██████▊ | 47934/70000 [16:57:46<7:46:35, 1.27s/step] Training: 68%|██████▊ | 47935/70000 [16:57:47<7:41:52, 1.26s/step] Training: 68%|██████▊ | 47936/70000 [16:57:49<7:35:05, 1.24s/step] Training: 68%|██████▊ | 47937/70000 [16:57:50<7:33:36, 1.23s/step] Training: 68%|██████▊ | 47938/70000 [16:57:51<7:32:56, 1.23s/step] Training: 68%|██████▊ | 47939/70000 [16:57:52<7:46:34, 1.27s/step] Training: 68%|██████▊ | 47940/70000 [16:57:54<7:52:18, 1.28s/step] Training: 68%|██████▊ | 47941/70000 [16:57:55<7:45:34, 1.27s/step] Training: 68%|██████▊ | 47942/70000 [16:57:56<7:36:49, 1.24s/step] Training: 68%|██████▊ | 47943/70000 [16:57:57<7:36:23, 1.24s/step] Training: 68%|██████▊ | 47944/70000 [16:57:59<7:30:44, 1.23s/step] Training: 68%|██████▊ | 47945/70000 [16:58:00<7:28:32, 1.22s/step] Training: 68%|██████▊ | 47946/70000 [16:58:01<7:27:04, 1.22s/step] Training: 68%|██████▊ | 47947/70000 [16:58:02<7:39:29, 1.25s/step] Training: 68%|██████▊ | 47948/70000 [16:58:04<8:02:02, 1.31s/step] Training: 68%|██████▊ | 47949/70000 [16:58:05<7:53:05, 1.29s/step] Training: 68%|██████▊ | 47950/70000 [16:58:06<7:42:04, 1.26s/step] Training: 69%|██████▊ | 47951/70000 [16:58:07<7:34:29, 1.24s/step] Training: 69%|██████▊ | 47952/70000 [16:58:09<7:42:47, 1.26s/step] Training: 69%|██████▊ | 47953/70000 [16:58:10<7:50:17, 1.28s/step] Training: 69%|██████▊ | 47954/70000 [16:58:11<7:40:05, 1.25s/step] Training: 69%|██████▊ | 47955/70000 [16:58:13<8:01:16, 1.31s/step] Training: 69%|██████▊ | 47956/70000 [16:58:14<8:16:51, 1.35s/step] Training: 69%|██████▊ | 47957/70000 [16:58:15<7:58:57, 1.30s/step] Training: 69%|██████▊ | 47958/70000 [16:58:17<8:02:30, 1.31s/step] Training: 69%|██████▊ | 47959/70000 [16:58:18<7:48:17, 1.27s/step] Training: 69%|██████▊ | 47960/70000 [16:58:19<7:38:35, 1.25s/step] Training: 69%|██████▊ | 47961/70000 [16:58:20<7:47:38, 1.27s/step] Training: 69%|██████▊ | 47962/70000 [16:58:21<7:37:59, 1.25s/step] Training: 69%|██████▊ | 47963/70000 [16:58:23<7:37:37, 1.25s/step] Training: 69%|██████▊ | 47964/70000 [16:58:24<7:51:12, 1.28s/step] Training: 69%|██████▊ | 47965/70000 [16:58:25<7:41:17, 1.26s/step] Training: 69%|██████▊ | 47966/70000 [16:58:27<7:47:44, 1.27s/step] Training: 69%|██████▊ | 47967/70000 [16:58:28<7:51:17, 1.28s/step] Training: 69%|██████▊ | 47968/70000 [16:58:29<7:41:07, 1.26s/step] Training: 69%|██████▊ | 47969/70000 [16:58:30<7:38:06, 1.25s/step] Training: 69%|██████▊ | 47970/70000 [16:58:32<7:32:30, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56924 Training: 69%|██████▊ | 47971/70000 [16:58:33<7:29:36, 1.22s/step] Training: 69%|██████▊ | 47972/70000 [16:58:34<7:42:47, 1.26s/step] Training: 69%|██████▊ | 47973/70000 [16:58:35<7:35:49, 1.24s/step] Training: 69%|██████▊ | 47974/70000 [16:58:37<7:40:36, 1.25s/step] Training: 69%|██████▊ | 47975/70000 [16:58:38<7:48:46, 1.28s/step] Training: 69%|██████▊ | 47976/70000 [16:58:39<7:39:09, 1.25s/step] Training: 69%|██████▊ | 47977/70000 [16:58:40<7:33:20, 1.24s/step] Training: 69%|██████▊ | 47978/70000 [16:58:41<7:28:17, 1.22s/step] Training: 69%|██████▊ | 47979/70000 [16:58:43<7:39:19, 1.25s/step] Training: 69%|██████▊ | 47980/70000 [16:58:44<7:53:16, 1.29s/step] Training: 69%|██████▊ | 47981/70000 [16:58:46<8:01:03, 1.31s/step] Training: 69%|██████▊ | 47982/70000 [16:58:47<7:46:46, 1.27s/step] Training: 69%|██████▊ | 47983/70000 [16:58:48<7:39:32, 1.25s/step] Training: 69%|██████▊ | 47984/70000 [16:58:49<7:32:57, 1.23s/step] Training: 69%|██████▊ | 47985/70000 [16:58:50<7:44:13, 1.27s/step] Training: 69%|██████▊ | 47986/70000 [16:58:52<7:35:54, 1.24s/step] Training: 69%|██████▊ | 47987/70000 [16:58:53<7:44:58, 1.27s/step] Training: 69%|██████▊ | 47988/70000 [16:58:54<7:51:42, 1.29s/step] Training: 69%|██████▊ | 47989/70000 [16:58:56<7:50:26, 1.28s/step] Training: 69%|██████▊ | 47990/70000 [16:58:57<7:40:20, 1.25s/step] Training: 69%|██████▊ | 47991/70000 [16:58:58<7:47:14, 1.27s/step] Training: 69%|██████▊ | 47992/70000 [16:58:59<7:37:40, 1.25s/step] Training: 69%|██████▊ | 47993/70000 [16:59:01<7:46:44, 1.27s/step] Training: 69%|██████▊ | 47994/70000 [16:59:02<7:37:26, 1.25s/step] Training: 69%|██████▊ | 47995/70000 [16:59:03<7:51:13, 1.28s/step] Training: 69%|██████▊ | 47996/70000 [16:59:04<7:56:49, 1.30s/step] Training: 69%|██████▊ | 47997/70000 [16:59:06<7:44:59, 1.27s/step] Training: 69%|██████▊ | 47998/70000 [16:59:07<7:53:48, 1.29s/step] Training: 69%|██████▊ | 47999/70000 [16:59:08<7:57:08, 1.30s/step] Training: 69%|██████▊ | 48000/70000 [16:59:10<7:44:39, 1.27s/step]INFO 2026-03-13 13:09:02 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.68 loss:0.008 grdn:0.852 lr:6.4e-06 updt_s:1.241 data_s:0.019 Training: 69%|██████▊ | 48001/70000 [16:59:11<7:40:21, 1.26s/step] Training: 69%|██████▊ | 48002/70000 [16:59:12<7:32:41, 1.23s/step] Training: 69%|██████▊ | 48003/70000 [16:59:13<7:31:22, 1.23s/step] Training: 69%|██████▊ | 48004/70000 [16:59:15<7:42:00, 1.26s/step] Training: 69%|██████▊ | 48005/70000 [16:59:16<7:52:23, 1.29s/step] Training: 69%|██████▊ | 48006/70000 [16:59:17<7:44:10, 1.27s/step] Training: 69%|██████▊ | 48007/70000 [16:59:18<7:50:58, 1.28s/step] Training: 69%|██████▊ | 48008/70000 [16:59:20<7:40:26, 1.26s/step] Training: 69%|██████▊ | 48009/70000 [16:59:21<7:34:51, 1.24s/step] Training: 69%|██████▊ | 48010/70000 [16:59:22<7:29:35, 1.23s/step] Training: 69%|██████▊ | 48011/70000 [16:59:23<7:40:42, 1.26s/step] Training: 69%|██████▊ | 48012/70000 [16:59:25<7:54:31, 1.29s/step] Training: 69%|██████▊ | 48013/70000 [16:59:26<7:43:24, 1.26s/step] Training: 69%|██████▊ | 48014/70000 [16:59:27<8:02:47, 1.32s/step] Training: 69%|██████▊ | 48015/70000 [16:59:29<7:50:47, 1.28s/step] Training: 69%|██████▊ | 48016/70000 [16:59:30<7:40:25, 1.26s/step] Training: 69%|██████▊ | 48017/70000 [16:59:31<7:48:14, 1.28s/step] Training: 69%|██████▊ | 48018/70000 [16:59:32<7:38:36, 1.25s/step] Training: 69%|██████▊ | 48019/70000 [16:59:34<7:46:09, 1.27s/step] Training: 69%|██████▊ | 48020/70000 [16:59:35<7:52:18, 1.29s/step] Training: 69%|██████▊ | 48021/70000 [16:59:36<7:41:50, 1.26s/step] Training: 69%|██████▊ | 48022/70000 [16:59:38<7:57:49, 1.30s/step] Training: 69%|██████▊ | 48023/70000 [16:59:39<8:00:29, 1.31s/step] Training: 69%|██████▊ | 48024/70000 [16:59:40<7:46:51, 1.27s/step] Training: 69%|██████▊ | 48025/70000 [16:59:41<7:52:44, 1.29s/step] Training: 69%|██████▊ | 48026/70000 [16:59:43<7:41:41, 1.26s/step] Training: 69%|██████▊ | 48027/70000 [16:59:44<7:52:23, 1.29s/step] Training: 69%|██████▊ | 48028/70000 [16:59:45<7:56:58, 1.30s/step] Training: 69%|██████▊ | 48029/70000 [16:59:46<7:44:49, 1.27s/step] Training: 69%|██████▊ | 48030/70000 [16:59:48<7:39:45, 1.26s/step] Training: 69%|██████▊ | 48031/70000 [16:59:49<7:47:18, 1.28s/step] Training: 69%|██████▊ | 48032/70000 [16:59:50<7:37:32, 1.25s/step] Training: 69%|██████▊ | 48033/70000 [16:59:51<7:35:35, 1.24s/step] Training: 69%|██████▊ | 48034/70000 [16:59:53<7:28:53, 1.23s/step] Training: 69%|██████▊ | 48035/70000 [16:59:54<7:26:28, 1.22s/step] Training: 69%|██████▊ | 48036/70000 [16:59:55<7:39:09, 1.25s/step] Training: 69%|██████▊ | 48037/70000 [16:59:56<7:31:54, 1.23s/step] Training: 69%|██████▊ | 48038/70000 [16:59:58<7:37:37, 1.25s/step] Training: 69%|██████▊ | 48039/70000 [16:59:59<7:46:06, 1.27s/step] Training: 69%|██████▊ | 48040/70000 [17:00:00<7:37:27, 1.25s/step] Training: 69%|██████▊ | 48041/70000 [17:00:01<7:34:52, 1.24s/step] Training: 69%|██████▊ | 48042/70000 [17:00:03<7:29:12, 1.23s/step] Training: 69%|██████▊ | 48043/70000 [17:00:04<7:40:35, 1.26s/step] Training: 69%|██████▊ | 48044/70000 [17:00:05<7:52:34, 1.29s/step] Training: 69%|██████▊ | 48045/70000 [17:00:06<7:42:08, 1.26s/step] Training: 69%|██████▊ | 48046/70000 [17:00:08<7:40:16, 1.26s/step] Training: 69%|██████▊ | 48047/70000 [17:00:09<7:45:23, 1.27s/step] Training: 69%|██████▊ | 48048/70000 [17:00:10<7:38:35, 1.25s/step] Training: 69%|██████▊ | 48049/70000 [17:00:11<7:34:03, 1.24s/step] Training: 69%|██████▊ | 48050/70000 [17:00:13<7:41:30, 1.26s/step] Training: 69%|██████▊ | 48051/70000 [17:00:14<7:48:39, 1.28s/step] Training: 69%|██████▊ | 48052/70000 [17:00:15<7:53:33, 1.29s/step] Training: 69%|██████▊ | 48053/70000 [17:00:17<7:41:56, 1.26s/step] Training: 69%|██████▊ | 48054/70000 [17:00:18<7:33:43, 1.24s/step] Training: 69%|██████▊ | 48055/70000 [17:00:19<7:51:20, 1.29s/step] Training: 69%|██████▊ | 48056/70000 [17:00:20<7:40:00, 1.26s/step] Training: 69%|██████▊ | 48057/70000 [17:00:22<7:32:17, 1.24s/step] Training: 69%|██████▊ | 48058/70000 [17:00:23<7:27:12, 1.22s/step] Training: 69%|██████▊ | 48059/70000 [17:00:24<7:44:20, 1.27s/step] Training: 69%|██████▊ | 48060/70000 [17:00:25<7:51:45, 1.29s/step] Training: 69%|██████▊ | 48061/70000 [17:00:27<7:40:49, 1.26s/step] Training: 69%|██████▊ | 48062/70000 [17:00:28<7:32:51, 1.24s/step] Training: 69%|██████▊ | 48063/70000 [17:00:29<7:52:27, 1.29s/step] Training: 69%|██████▊ | 48064/70000 [17:00:30<7:40:58, 1.26s/step] Training: 69%|██████▊ | 48065/70000 [17:00:32<7:36:57, 1.25s/step] Training: 69%|██████▊ | 48066/70000 [17:00:33<7:30:24, 1.23s/step] Training: 69%|██████▊ | 48067/70000 [17:00:34<7:27:18, 1.22s/step] Training: 69%|██████▊ | 48068/70000 [17:00:35<7:39:24, 1.26s/step] Training: 69%|██████▊ | 48069/70000 [17:00:37<7:31:55, 1.24s/step] Training: 69%|██████▊ | 48070/70000 [17:00:38<7:26:54, 1.22s/step] Training: 69%|██████▊ | 48071/70000 [17:00:39<7:44:39, 1.27s/step] Training: 69%|██████▊ | 48072/70000 [17:00:40<7:34:51, 1.24s/step] Training: 69%|██████▊ | 48073/70000 [17:00:42<7:31:10, 1.23s/step] Training: 69%|██████▊ | 48074/70000 [17:00:43<7:26:29, 1.22s/step] Training: 69%|██████▊ | 48075/70000 [17:00:44<7:39:15, 1.26s/step] Training: 69%|██████▊ | 48076/70000 [17:00:45<7:52:49, 1.29s/step] Training: 69%|██████▊ | 48077/70000 [17:00:47<7:41:01, 1.26s/step] Training: 69%|██████▊ | 48078/70000 [17:00:48<7:32:44, 1.24s/step] Training: 69%|██████▊ | 48079/70000 [17:00:49<7:45:45, 1.27s/step] Training: 69%|██████▊ | 48080/70000 [17:00:50<7:35:12, 1.25s/step] Training: 69%|██████▊ | 48081/70000 [17:00:52<7:44:30, 1.27s/step] Training: 69%|██████▊ | 48082/70000 [17:00:53<7:35:25, 1.25s/step] Training: 69%|██████▊ | 48083/70000 [17:00:54<7:46:27, 1.28s/step] Training: 69%|██████▊ | 48084/70000 [17:00:56<7:51:49, 1.29s/step] Training: 69%|██████▊ | 48085/70000 [17:00:57<7:40:36, 1.26s/step] Training: 69%|██████▊ | 48086/70000 [17:00:58<7:32:10, 1.24s/step] Training: 69%|██████▊ | 48087/70000 [17:00:59<7:42:28, 1.27s/step] Training: 69%|██████▊ | 48088/70000 [17:01:01<7:50:53, 1.29s/step] Training: 69%|██████▊ | 48089/70000 [17:01:02<7:53:43, 1.30s/step] Training: 69%|██████▊ | 48090/70000 [17:01:03<7:41:39, 1.26s/step] Training: 69%|██████▊ | 48091/70000 [17:01:04<7:56:20, 1.30s/step] Training: 69%|██████▊ | 48092/70000 [17:01:06<7:58:56, 1.31s/step] Training: 69%|██████▊ | 48093/70000 [17:01:07<7:46:30, 1.28s/step] Training: 69%|██████▊ | 48094/70000 [17:01:08<7:36:41, 1.25s/step] Training: 69%|██████▊ | 48095/70000 [17:01:10<7:44:19, 1.27s/step] Training: 69%|██████▊ | 48096/70000 [17:01:11<7:51:54, 1.29s/step] Training: 69%|██████▊ | 48097/70000 [17:01:12<7:46:06, 1.28s/step] Training: 69%|██████▊ | 48098/70000 [17:01:13<7:36:50, 1.25s/step] Training: 69%|██████▊ | 48099/70000 [17:01:15<7:33:59, 1.24s/step] Training: 69%|██████▊ | 48100/70000 [17:01:16<7:43:56, 1.27s/step]INFO 2026-03-13 13:11:08 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.77 loss:0.009 grdn:0.774 lr:6.4e-06 updt_s:1.242 data_s:0.019 Training: 69%|██████▊ | 48101/70000 [17:01:17<7:35:31, 1.25s/step] Training: 69%|██████▊ | 48102/70000 [17:01:18<7:29:28, 1.23s/step] Training: 69%|██████▊ | 48103/70000 [17:01:20<7:43:53, 1.27s/step] Training: 69%|██████▊ | 48104/70000 [17:01:21<7:39:21, 1.26s/step] Training: 69%|██████▊ | 48105/70000 [17:01:22<7:33:22, 1.24s/step] Training: 69%|██████▊ | 48106/70000 [17:01:23<7:27:41, 1.23s/step] Training: 69%|██████▊ | 48107/70000 [17:01:25<7:38:17, 1.26s/step] Training: 69%|██████▊ | 48108/70000 [17:01:26<7:51:25, 1.29s/step] Training: 69%|██████▊ | 48109/70000 [17:01:27<7:40:22, 1.26s/step] Training: 69%|██████▊ | 48110/70000 [17:01:28<7:32:11, 1.24s/step] Training: 69%|██████▊ | 48111/70000 [17:01:30<7:41:29, 1.26s/step] Training: 69%|██████▊ | 48112/70000 [17:01:31<7:41:42, 1.27s/step] Training: 69%|██████▊ | 48113/70000 [17:01:32<7:46:22, 1.28s/step] Training: 69%|██████▊ | 48114/70000 [17:01:33<7:36:37, 1.25s/step] Training: 69%|██████▊ | 48115/70000 [17:01:35<7:45:52, 1.28s/step] Training: 69%|██████▊ | 48116/70000 [17:01:36<7:51:20, 1.29s/step] Training: 69%|██████▊ | 48117/70000 [17:01:37<7:40:06, 1.26s/step] Training: 69%|██████▊ | 48118/70000 [17:01:38<7:32:00, 1.24s/step] Training: 69%|██████▊ | 48119/70000 [17:01:40<7:41:32, 1.27s/step] Training: 69%|██████▊ | 48120/70000 [17:01:41<7:33:47, 1.24s/step] Training: 69%|██████▊ | 48121/70000 [17:01:42<7:51:20, 1.29s/step] Training: 69%|██████▊ | 48122/70000 [17:01:44<7:39:38, 1.26s/step] Training: 69%|██████▊ | 48123/70000 [17:01:45<7:54:07, 1.30s/step] Training: 69%|██████▊ | 48124/70000 [17:01:46<7:57:51, 1.31s/step] Training: 69%|██████▉ | 48125/70000 [17:01:47<7:45:06, 1.28s/step] Training: 69%|██████▉ | 48126/70000 [17:01:49<7:36:12, 1.25s/step] Training: 69%|██████▉ | 48127/70000 [17:01:50<7:44:08, 1.27s/step] Training: 69%|██████▉ | 48128/70000 [17:01:51<7:35:18, 1.25s/step] Training: 69%|██████▉ | 48129/70000 [17:01:52<7:40:34, 1.26s/step] Training: 69%|██████▉ | 48130/70000 [17:01:54<7:31:52, 1.24s/step] Training: 69%|██████▉ | 48131/70000 [17:01:55<7:28:46, 1.23s/step] Training: 69%|██████▉ | 48132/70000 [17:01:56<7:39:56, 1.26s/step] Training: 69%|██████▉ | 48133/70000 [17:01:57<7:32:09, 1.24s/step] Training: 69%|██████▉ | 48134/70000 [17:01:59<7:26:42, 1.23s/step] Training: 69%|██████▉ | 48135/70000 [17:02:00<7:42:51, 1.27s/step] Training: 69%|██████▉ | 48136/70000 [17:02:01<7:34:00, 1.25s/step] Training: 69%|██████▉ | 48137/70000 [17:02:02<7:31:11, 1.24s/step] Training: 69%|██████▉ | 48138/70000 [17:02:04<7:41:47, 1.27s/step] Training: 69%|██████▉ | 48139/70000 [17:02:05<7:48:10, 1.28s/step] Training: 69%|██████▉ | 48140/70000 [17:02:06<7:58:09, 1.31s/step] Training: 69%|██████▉ | 48141/70000 [17:02:08<7:45:00, 1.28s/step] Training: 69%|██████▉ | 48142/70000 [17:02:09<7:35:16, 1.25s/step] Training: 69%|██████▉ | 48143/70000 [17:02:10<7:43:28, 1.27s/step] Training: 69%|██████▉ | 48144/70000 [17:02:11<7:34:06, 1.25s/step] Training: 69%|██████▉ | 48145/70000 [17:02:13<7:46:33, 1.28s/step] Training: 69%|██████▉ | 48146/70000 [17:02:14<7:35:40, 1.25s/step] Training: 69%|██████▉ | 48147/70000 [17:02:15<7:45:08, 1.28s/step] Training: 69%|██████▉ | 48148/70000 [17:02:17<7:50:05, 1.29s/step] Training: 69%|██████▉ | 48149/70000 [17:02:18<7:38:43, 1.26s/step] Training: 69%|██████▉ | 48150/70000 [17:02:19<7:31:19, 1.24s/step] Training: 69%|██████▉ | 48151/70000 [17:02:20<7:41:39, 1.27s/step] Training: 69%|██████▉ | 48152/70000 [17:02:21<7:32:59, 1.24s/step] Training: 69%|██████▉ | 48153/70000 [17:02:23<7:42:43, 1.27s/step] Training: 69%|██████▉ | 48154/70000 [17:02:24<7:50:41, 1.29s/step] Training: 69%|██████▉ | 48155/70000 [17:02:25<7:42:55, 1.27s/step] Training: 69%|██████▉ | 48156/70000 [17:02:27<8:03:22, 1.33s/step] Training: 69%|██████▉ | 48157/70000 [17:02:28<7:48:29, 1.29s/step] Training: 69%|██████▉ | 48158/70000 [17:02:29<7:37:37, 1.26s/step] Training: 69%|██████▉ | 48159/70000 [17:02:30<7:45:40, 1.28s/step] Training: 69%|██████▉ | 48160/70000 [17:02:32<7:35:38, 1.25s/step] Training: 69%|██████▉ | 48161/70000 [17:02:33<7:32:41, 1.24s/step] Training: 69%|██████▉ | 48162/70000 [17:02:34<7:44:32, 1.28s/step] Training: 69%|██████▉ | 48163/70000 [17:02:35<7:36:06, 1.25s/step] Training: 69%|██████▉ | 48164/70000 [17:02:37<7:55:12, 1.31s/step] Training: 69%|██████▉ | 48165/70000 [17:02:38<7:43:00, 1.27s/step] Training: 69%|██████▉ | 48166/70000 [17:02:39<7:33:54, 1.25s/step] Training: 69%|██████▉ | 48167/70000 [17:02:41<7:46:25, 1.28s/step] Training: 69%|██████▉ | 48168/70000 [17:02:42<7:36:48, 1.26s/step] Training: 69%|██████▉ | 48169/70000 [17:02:43<7:32:41, 1.24s/step] Training: 69%|██████▉ | 48170/70000 [17:02:44<7:27:50, 1.23s/step] Training: 69%|██████▉ | 48171/70000 [17:02:46<7:38:36, 1.26s/step] Training: 69%|██████▉ | 48172/70000 [17:02:47<7:51:13, 1.30s/step] Training: 69%|██████▉ | 48173/70000 [17:02:48<7:39:53, 1.26s/step] Training: 69%|██████▉ | 48174/70000 [17:02:49<7:31:30, 1.24s/step] Training: 69%|██████▉ | 48175/70000 [17:02:51<7:40:27, 1.27s/step] Training: 69%|██████▉ | 48176/70000 [17:02:52<7:32:09, 1.24s/step] Training: 69%|██████▉ | 48177/70000 [17:02:53<7:42:25, 1.27s/step] Training: 69%|██████▉ | 48178/70000 [17:02:54<7:41:06, 1.27s/step] Training: 69%|██████▉ | 48179/70000 [17:02:56<7:48:09, 1.29s/step] Training: 69%|██████▉ | 48180/70000 [17:02:57<7:53:20, 1.30s/step] Training: 69%|██████▉ | 48181/70000 [17:02:58<7:41:08, 1.27s/step] Training: 69%|██████▉ | 48182/70000 [17:02:59<7:32:28, 1.24s/step] Training: 69%|██████▉ | 48183/70000 [17:03:01<7:40:15, 1.27s/step] Training: 69%|██████▉ | 48184/70000 [17:03:02<7:32:22, 1.24s/step] Training: 69%|██████▉ | 48185/70000 [17:03:03<7:42:34, 1.27s/step] Training: 69%|██████▉ | 48186/70000 [17:03:05<7:38:16, 1.26s/step] Training: 69%|██████▉ | 48187/70000 [17:03:06<7:34:16, 1.25s/step] Training: 69%|██████▉ | 48188/70000 [17:03:07<7:43:37, 1.28s/step] Training: 69%|██████▉ | 48189/70000 [17:03:08<7:34:41, 1.25s/step] Training: 69%|██████▉ | 48190/70000 [17:03:09<7:28:11, 1.23s/step] Training: 69%|██████▉ | 48191/70000 [17:03:11<7:24:58, 1.22s/step] Training: 69%|██████▉ | 48192/70000 [17:03:12<7:21:08, 1.21s/step] Training: 69%|██████▉ | 48193/70000 [17:03:13<7:21:49, 1.22s/step] Training: 69%|██████▉ | 48194/70000 [17:03:14<7:19:29, 1.21s/step] Training: 69%|██████▉ | 48195/70000 [17:03:16<7:34:20, 1.25s/step] Training: 69%|██████▉ | 48196/70000 [17:03:17<7:29:09, 1.24s/step] Training: 69%|██████▉ | 48197/70000 [17:03:18<7:38:46, 1.26s/step] Training: 69%|██████▉ | 48198/70000 [17:03:19<7:30:51, 1.24s/step] Training: 69%|██████▉ | 48199/70000 [17:03:21<7:41:43, 1.27s/step] Training: 69%|██████▉ | 48200/70000 [17:03:22<7:32:55, 1.25s/step]INFO 2026-03-13 13:13:14 ot_train.py:435 step:48K smpl:3M ep:10K epch:40.85 loss:0.009 grdn:1.142 lr:6.3e-06 updt_s:1.239 data_s:0.019 Training: 69%|██████▉ | 48201/70000 [17:03:23<7:30:42, 1.24s/step] Training: 69%|██████▉ | 48202/70000 [17:03:24<7:25:24, 1.23s/step] Training: 69%|██████▉ | 48203/70000 [17:03:26<7:46:10, 1.28s/step] Training: 69%|██████▉ | 48204/70000 [17:03:27<7:50:39, 1.30s/step] Training: 69%|██████▉ | 48205/70000 [17:03:28<7:52:26, 1.30s/step] Training: 69%|██████▉ | 48206/70000 [17:03:30<7:40:41, 1.27s/step] Training: 69%|██████▉ | 48207/70000 [17:03:31<7:46:51, 1.29s/step] Training: 69%|██████▉ | 48208/70000 [17:03:32<7:36:06, 1.26s/step] Training: 69%|██████▉ | 48209/70000 [17:03:33<7:45:11, 1.28s/step] Training: 69%|██████▉ | 48210/70000 [17:03:35<7:35:01, 1.25s/step] Training: 69%|██████▉ | 48211/70000 [17:03:36<7:46:15, 1.28s/step] Training: 69%|██████▉ | 48212/70000 [17:03:37<8:12:05, 1.36s/step] Training: 69%|██████▉ | 48213/70000 [17:03:39<8:09:23, 1.35s/step] Training: 69%|██████▉ | 48214/70000 [17:03:40<7:52:16, 1.30s/step] Training: 69%|██████▉ | 48215/70000 [17:03:41<7:54:18, 1.31s/step] Training: 69%|██████▉ | 48216/70000 [17:03:43<7:41:51, 1.27s/step] Training: 69%|██████▉ | 48217/70000 [17:03:44<7:47:54, 1.29s/step] Training: 69%|██████▉ | 48218/70000 [17:03:45<7:36:53, 1.26s/step] Training: 69%|██████▉ | 48219/70000 [17:03:46<7:52:22, 1.30s/step] Training: 69%|██████▉ | 48220/70000 [17:03:48<8:06:01, 1.34s/step] Training: 69%|██████▉ | 48221/70000 [17:03:49<8:05:11, 1.34s/step] Training: 69%|██████▉ | 48222/70000 [17:03:50<7:49:41, 1.29s/step] Training: 69%|██████▉ | 48223/70000 [17:03:52<7:39:49, 1.27s/step] Training: 69%|██████▉ | 48224/70000 [17:03:53<7:31:51, 1.25s/step] Training: 69%|██████▉ | 48225/70000 [17:03:54<7:28:26, 1.24s/step] Training: 69%|██████▉ | 48226/70000 [17:03:55<7:23:35, 1.22s/step] Training: 69%|██████▉ | 48227/70000 [17:03:56<7:21:42, 1.22s/step] Training: 69%|██████▉ | 48228/70000 [17:03:58<7:35:02, 1.25s/step] Training: 69%|██████▉ | 48229/70000 [17:03:59<7:43:35, 1.28s/step] Training: 69%|██████▉ | 48230/70000 [17:04:00<7:33:52, 1.25s/step] Training: 69%|██████▉ | 48231/70000 [17:04:02<7:46:12, 1.28s/step] Training: 69%|██████▉ | 48232/70000 [17:04:03<7:35:30, 1.26s/step] Training: 69%|██████▉ | 48233/70000 [17:04:04<7:30:04, 1.24s/step] Training: 69%|██████▉ | 48234/70000 [17:04:05<7:24:39, 1.23s/step] Training: 69%|██████▉ | 48235/70000 [17:04:07<7:36:59, 1.26s/step] Training: 69%|██████▉ | 48236/70000 [17:04:08<7:46:45, 1.29s/step] Training: 69%|██████▉ | 48237/70000 [17:04:09<7:40:33, 1.27s/step] Training: 69%|██████▉ | 48238/70000 [17:04:10<7:31:43, 1.25s/step] Training: 69%|██████▉ | 48239/70000 [17:04:12<7:40:45, 1.27s/step] Training: 69%|██████▉ | 48240/70000 [17:04:13<7:32:31, 1.25s/step] Training: 69%|██████▉ | 48241/70000 [17:04:14<7:41:49, 1.27s/step] Training: 69%|██████▉ | 48242/70000 [17:04:15<7:32:47, 1.25s/step] Training: 69%|██████▉ | 48243/70000 [17:04:17<7:26:39, 1.23s/step] Training: 69%|██████▉ | 48244/70000 [17:04:18<7:36:18, 1.26s/step] Training: 69%|██████▉ | 48245/70000 [17:04:19<7:44:58, 1.28s/step] Training: 69%|██████▉ | 48246/70000 [17:04:20<7:35:30, 1.26s/step] Training: 69%|██████▉ | 48247/70000 [17:04:22<7:42:48, 1.28s/step] Training: 69%|██████▉ | 48248/70000 [17:04:23<7:33:16, 1.25s/step] Training: 69%|██████▉ | 48249/70000 [17:04:24<7:42:02, 1.27s/step] Training: 69%|██████▉ | 48250/70000 [17:04:25<7:33:18, 1.25s/step] Training: 69%|██████▉ | 48251/70000 [17:04:27<7:26:36, 1.23s/step] Training: 69%|██████▉ | 48252/70000 [17:04:28<7:39:09, 1.27s/step] Training: 69%|██████▉ | 48253/70000 [17:04:29<7:45:49, 1.29s/step] Training: 69%|██████▉ | 48254/70000 [17:04:30<7:35:15, 1.26s/step] Training: 69%|██████▉ | 48255/70000 [17:04:32<7:42:28, 1.28s/step] Training: 69%|██████▉ | 48256/70000 [17:04:33<7:33:10, 1.25s/step] Training: 69%|██████▉ | 48257/70000 [17:04:34<7:30:53, 1.24s/step] Training: 69%|██████▉ | 48258/70000 [17:04:35<7:24:30, 1.23s/step] Training: 69%|██████▉ | 48259/70000 [17:04:37<7:20:28, 1.22s/step] Training: 69%|██████▉ | 48260/70000 [17:04:38<7:33:19, 1.25s/step] Training: 69%|██████▉ | 48261/70000 [17:04:39<7:45:45, 1.29s/step] Training: 69%|██████▉ | 48262/70000 [17:04:41<7:49:14, 1.30s/step] Training: 69%|██████▉ | 48263/70000 [17:04:42<7:58:33, 1.32s/step] Training: 69%|██████▉ | 48264/70000 [17:04:43<7:43:51, 1.28s/step] Training: 69%|██████▉ | 48265/70000 [17:04:44<7:36:09, 1.26s/step] Training: 69%|██████▉ | 48266/70000 [17:04:46<7:28:28, 1.24s/step] Training: 69%|██████▉ | 48267/70000 [17:04:47<7:23:07, 1.22s/step] Training: 69%|██████▉ | 48268/70000 [17:04:48<7:45:55, 1.29s/step] Training: 69%|██████▉ | 48269/70000 [17:04:49<7:44:06, 1.28s/step] Training: 69%|██████▉ | 48270/70000 [17:04:51<7:48:21, 1.29s/step] Training: 69%|██████▉ | 48271/70000 [17:04:52<7:51:49, 1.30s/step] Training: 69%|██████▉ | 48272/70000 [17:04:53<7:39:47, 1.27s/step] Training: 69%|██████▉ | 48273/70000 [17:04:55<7:46:08, 1.29s/step] Training: 69%|██████▉ | 48274/70000 [17:04:56<7:35:35, 1.26s/step] Training: 69%|██████▉ | 48275/70000 [17:04:57<7:28:43, 1.24s/step] Training: 69%|██████▉ | 48276/70000 [17:04:58<7:43:45, 1.28s/step] Training: 69%|██████▉ | 48277/70000 [17:05:00<7:49:26, 1.30s/step] Training: 69%|██████▉ | 48278/70000 [17:05:01<7:53:58, 1.31s/step] Training: 69%|██████▉ | 48279/70000 [17:05:02<7:55:55, 1.31s/step] Training: 69%|██████▉ | 48280/70000 [17:05:04<7:42:31, 1.28s/step] Training: 69%|██████▉ | 48281/70000 [17:05:05<7:47:59, 1.29s/step] Training: 69%|██████▉ | 48282/70000 [17:05:06<7:36:56, 1.26s/step] Training: 69%|██████▉ | 48283/70000 [17:05:07<7:29:08, 1.24s/step] Training: 69%|██████▉ | 48284/70000 [17:05:09<7:25:29, 1.23s/step] Training: 69%|██████▉ | 48285/70000 [17:05:10<7:38:03, 1.27s/step] Training: 69%|██████▉ | 48286/70000 [17:05:11<7:43:52, 1.28s/step] Training: 69%|██████▉ | 48287/70000 [17:05:13<7:48:15, 1.29s/step] Training: 69%|██████▉ | 48288/70000 [17:05:14<7:37:26, 1.26s/step] Training: 69%|██████▉ | 48289/70000 [17:05:15<7:32:58, 1.25s/step] Training: 69%|██████▉ | 48290/70000 [17:05:16<7:26:03, 1.23s/step] Training: 69%|██████▉ | 48291/70000 [17:05:17<7:22:02, 1.22s/step] Training: 69%|██████▉ | 48292/70000 [17:05:19<7:34:03, 1.25s/step] Training: 69%|██████▉ | 48293/70000 [17:05:20<7:42:07, 1.28s/step] Training: 69%|██████▉ | 48294/70000 [17:05:21<7:49:59, 1.30s/step] Training: 69%|██████▉ | 48295/70000 [17:05:23<7:56:50, 1.32s/step] Training: 69%|██████▉ | 48296/70000 [17:05:24<7:42:39, 1.28s/step] Training: 69%|██████▉ | 48297/70000 [17:05:25<7:36:34, 1.26s/step] Training: 69%|██████▉ | 48298/70000 [17:05:26<7:29:05, 1.24s/step] Training: 69%|██████▉ | 48299/70000 [17:05:27<7:23:12, 1.23s/step] Training: 69%|██████▉ | 48300/70000 [17:05:29<7:34:16, 1.26s/step]INFO 2026-03-13 13:15:21 ot_train.py:435 step:48K smpl:3M ep:11K epch:40.94 loss:0.009 grdn:0.726 lr:6.3e-06 updt_s:1.248 data_s:0.019 Training: 69%|██████▉ | 48301/70000 [17:05:30<7:30:51, 1.25s/step] Training: 69%|██████▉ | 48302/70000 [17:05:31<7:41:34, 1.28s/step] Training: 69%|██████▉ | 48303/70000 [17:05:33<7:45:34, 1.29s/step] Training: 69%|██████▉ | 48304/70000 [17:05:34<7:34:48, 1.26s/step] Training: 69%|██████▉ | 48305/70000 [17:05:35<7:27:17, 1.24s/step] Training: 69%|██████▉ | 48306/70000 [17:05:36<7:34:34, 1.26s/step] Training: 69%|██████▉ | 48307/70000 [17:05:38<7:27:48, 1.24s/step] Training: 69%|██████▉ | 48308/70000 [17:05:39<7:41:16, 1.28s/step] Training: 69%|██████▉ | 48309/70000 [17:05:40<7:34:20, 1.26s/step] Training: 69%|██████▉ | 48310/70000 [17:05:41<7:40:42, 1.27s/step] Training: 69%|██████▉ | 48311/70000 [17:05:43<7:47:58, 1.29s/step] Training: 69%|██████▉ | 48312/70000 [17:05:44<7:36:23, 1.26s/step] Training: 69%|██████▉ | 48313/70000 [17:05:45<7:28:35, 1.24s/step] Training: 69%|██████▉ | 48314/70000 [17:05:46<7:22:59, 1.23s/step] Training: 69%|██████▉ | 48315/70000 [17:05:48<7:18:54, 1.21s/step] Training: 69%|██████▉ | 48316/70000 [17:05:49<7:18:00, 1.21s/step] Training: 69%|██████▉ | 48317/70000 [17:05:50<7:30:34, 1.25s/step] Training: 69%|██████▉ | 48318/70000 [17:05:51<7:46:54, 1.29s/step] Training: 69%|██████▉ | 48319/70000 [17:05:53<7:50:07, 1.30s/step] Training: 69%|██████▉ | 48320/70000 [17:05:54<7:37:58, 1.27s/step] Training: 69%|██████▉ | 48321/70000 [17:05:55<7:31:42, 1.25s/step] Training: 69%|██████▉ | 48322/70000 [17:05:56<7:24:47, 1.23s/step] Training: 69%|██████▉ | 48323/70000 [17:05:58<7:20:21, 1.22s/step] Training: 69%|██████▉ | 48324/70000 [17:05:59<7:33:09, 1.25s/step] Training: 69%|██████▉ | 48325/70000 [17:06:00<7:40:26, 1.27s/step] Training: 69%|██████▉ | 48326/70000 [17:06:01<7:37:32, 1.27s/step] Training: 69%|██████▉ | 48327/70000 [17:06:03<7:46:33, 1.29s/step] Training: 69%|██████▉ | 48328/70000 [17:06:04<7:35:17, 1.26s/step] Training: 69%|██████▉ | 48329/70000 [17:06:05<7:31:54, 1.25s/step] Training: 69%|██████▉ | 48330/70000 [17:06:06<7:25:24, 1.23s/step] Training: 69%|██████▉ | 48331/70000 [17:06:08<7:20:42, 1.22s/step] Training: 69%|██████▉ | 48332/70000 [17:06:09<7:32:59, 1.25s/step] Training: 69%|██████▉ | 48333/70000 [17:06:10<7:30:04, 1.25s/step] Training: 69%|██████▉ | 48334/70000 [17:06:12<7:39:02, 1.27s/step] Training: 69%|██████▉ | 48335/70000 [17:06:13<7:54:17, 1.31s/step] Training: 69%|██████▉ | 48336/70000 [17:06:14<7:41:12, 1.28s/step] Training: 69%|██████▉ | 48337/70000 [17:06:15<7:31:53, 1.25s/step] Training: 69%|██████▉ | 48338/70000 [17:06:17<7:38:39, 1.27s/step] Training: 69%|██████▉ | 48339/70000 [17:06:18<7:30:28, 1.25s/step] Training: 69%|██████▉ | 48340/70000 [17:06:19<7:43:07, 1.28s/step] Training: 69%|██████▉ | 48341/70000 [17:06:20<7:35:03, 1.26s/step] Training: 69%|██████▉ | 48342/70000 [17:06:22<7:42:40, 1.28s/step] Training: 69%|██████▉ | 48343/70000 [17:06:23<7:44:19, 1.29s/step] Training: 69%|██████▉ | 48344/70000 [17:06:24<7:46:38, 1.29s/step] Training: 69%|██████▉ | 48345/70000 [17:06:26<7:50:21, 1.30s/step] Training: 69%|██████▉ | 48346/70000 [17:06:27<7:38:57, 1.27s/step] Training: 69%|██████▉ | 48347/70000 [17:06:28<7:29:50, 1.25s/step] Training: 69%|██████▉ | 48348/70000 [17:06:29<7:26:47, 1.24s/step] Training: 69%|██████▉ | 48349/70000 [17:06:31<7:37:41, 1.27s/step] Training: 69%|██████▉ | 48350/70000 [17:06:32<7:44:26, 1.29s/step] Training: 69%|██████▉ | 48351/70000 [17:06:33<7:53:36, 1.31s/step] Training: 69%|██████▉ | 48352/70000 [17:06:35<7:39:53, 1.27s/step] Training: 69%|██████▉ | 48353/70000 [17:06:36<7:32:17, 1.25s/step] Training: 69%|██████▉ | 48354/70000 [17:06:37<7:25:38, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=56924 Training: 69%|██████▉ | 48355/70000 [17:06:38<7:19:55, 1.22s/step] Training: 69%|██████▉ | 48356/70000 [17:06:39<7:31:40, 1.25s/step] Training: 69%|██████▉ | 48357/70000 [17:06:41<7:41:10, 1.28s/step] Training: 69%|██████▉ | 48358/70000 [17:06:42<7:34:38, 1.26s/step] Training: 69%|██████▉ | 48359/70000 [17:06:43<7:47:37, 1.30s/step] Training: 69%|██████▉ | 48360/70000 [17:06:45<7:36:40, 1.27s/step] Training: 69%|██████▉ | 48361/70000 [17:06:46<7:34:04, 1.26s/step] Training: 69%|██████▉ | 48362/70000 [17:06:47<7:26:36, 1.24s/step] Training: 69%|██████▉ | 48363/70000 [17:06:48<7:21:18, 1.22s/step] Training: 69%|██████▉ | 48364/70000 [17:06:50<7:32:47, 1.26s/step] Training: 69%|██████▉ | 48365/70000 [17:06:51<7:30:11, 1.25s/step] Training: 69%|██████▉ | 48366/70000 [17:06:52<7:38:45, 1.27s/step] Training: 69%|██████▉ | 48367/70000 [17:06:53<7:44:48, 1.29s/step] Training: 69%|██████▉ | 48368/70000 [17:06:55<7:57:42, 1.32s/step] Training: 69%|██████▉ | 48369/70000 [17:06:56<7:43:28, 1.29s/step] Training: 69%|██████▉ | 48370/70000 [17:06:57<7:45:58, 1.29s/step] Training: 69%|██████▉ | 48371/70000 [17:06:59<7:36:01, 1.27s/step] Training: 69%|██████▉ | 48372/70000 [17:07:00<7:47:52, 1.30s/step] Training: 69%|██████▉ | 48373/70000 [17:07:01<7:40:08, 1.28s/step] Training: 69%|██████▉ | 48374/70000 [17:07:02<7:46:09, 1.29s/step] Training: 69%|██████▉ | 48375/70000 [17:07:04<7:39:30, 1.27s/step] Training: 69%|██████▉ | 48376/70000 [17:07:05<7:57:58, 1.33s/step] Training: 69%|██████▉ | 48377/70000 [17:07:06<7:42:44, 1.28s/step] Training: 69%|██████▉ | 48378/70000 [17:07:07<7:32:11, 1.25s/step] Training: 69%|██████▉ | 48379/70000 [17:07:09<7:24:34, 1.23s/step] Training: 69%|██████▉ | 48380/70000 [17:07:11<9:29:21, 1.58s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 69%|██████▉ | 48381/70000 [17:07:15<14:37:54, 2.44s/step] Training: 69%|██████▉ | 48382/70000 [17:07:17<12:32:30, 2.09s/step] Training: 69%|██████▉ | 48383/70000 [17:07:18<11:05:17, 1.85s/step] Training: 69%|██████▉ | 48384/70000 [17:07:20<10:30:32, 1.75s/step] Training: 69%|██████▉ | 48385/70000 [17:07:21<9:38:33, 1.61s/step] Training: 69%|██████▉ | 48386/70000 [17:07:22<8:53:10, 1.48s/step] Training: 69%|██████▉ | 48387/70000 [17:07:23<8:21:31, 1.39s/step] Training: 69%|██████▉ | 48388/70000 [17:07:25<8:21:19, 1.39s/step] Training: 69%|██████▉ | 48389/70000 [17:07:26<8:16:34, 1.38s/step] Training: 69%|██████▉ | 48390/70000 [17:07:27<7:56:11, 1.32s/step] Training: 69%|██████▉ | 48391/70000 [17:07:29<8:13:42, 1.37s/step] Training: 69%|██████▉ | 48392/70000 [17:07:30<8:00:58, 1.34s/step] Training: 69%|██████▉ | 48393/70000 [17:07:31<7:48:12, 1.30s/step] Training: 69%|██████▉ | 48394/70000 [17:07:32<7:36:12, 1.27s/step] Training: 69%|██████▉ | 48395/70000 [17:07:33<7:27:44, 1.24s/step] Training: 69%|██████▉ | 48396/70000 [17:07:35<7:42:48, 1.29s/step] Training: 69%|██████▉ | 48397/70000 [17:07:36<7:37:14, 1.27s/step] Training: 69%|██████▉ | 48398/70000 [17:07:37<7:43:10, 1.29s/step] Training: 69%|██████▉ | 48399/70000 [17:07:39<7:47:48, 1.30s/step] Training: 69%|██████▉ | 48400/70000 [17:07:40<7:51:44, 1.31s/step]INFO 2026-03-13 13:17:32 ot_train.py:435 step:48K smpl:3M ep:11K epch:41.02 loss:0.009 grdn:1.079 lr:6.2e-06 updt_s:1.250 data_s:0.061 Training: 69%|██████▉ | 48401/70000 [17:07:41<7:54:21, 1.32s/step] Training: 69%|██████▉ | 48402/70000 [17:07:43<7:50:52, 1.31s/step] Training: 69%|██████▉ | 48403/70000 [17:07:44<7:38:33, 1.27s/step] Training: 69%|██████▉ | 48404/70000 [17:07:45<7:33:32, 1.26s/step] Training: 69%|██████▉ | 48405/70000 [17:07:46<7:40:23, 1.28s/step] Training: 69%|██████▉ | 48406/70000 [17:07:48<7:33:09, 1.26s/step] Training: 69%|██████▉ | 48407/70000 [17:07:49<7:30:49, 1.25s/step] Training: 69%|██████▉ | 48408/70000 [17:07:50<7:38:59, 1.28s/step] Training: 69%|██████▉ | 48409/70000 [17:07:51<7:36:07, 1.27s/step] Training: 69%|██████▉ | 48410/70000 [17:07:53<7:27:31, 1.24s/step] Training: 69%|██████▉ | 48411/70000 [17:07:54<7:21:48, 1.23s/step] Training: 69%|██████▉ | 48412/70000 [17:07:55<7:17:30, 1.22s/step] Training: 69%|██████▉ | 48413/70000 [17:07:57<7:47:06, 1.30s/step] Training: 69%|██████▉ | 48414/70000 [17:07:58<7:40:18, 1.28s/step] Training: 69%|██████▉ | 48415/70000 [17:07:59<7:34:38, 1.26s/step] Training: 69%|██████▉ | 48416/70000 [17:08:00<7:26:52, 1.24s/step] Training: 69%|██████▉ | 48417/70000 [17:08:02<7:35:08, 1.27s/step] Training: 69%|██████▉ | 48418/70000 [17:08:03<7:43:01, 1.29s/step] Training: 69%|██████▉ | 48419/70000 [17:08:04<7:31:35, 1.26s/step] Training: 69%|██████▉ | 48420/70000 [17:08:05<7:40:16, 1.28s/step] Training: 69%|██████▉ | 48421/70000 [17:08:07<7:45:59, 1.30s/step] Training: 69%|██████▉ | 48422/70000 [17:08:08<7:34:40, 1.26s/step] Training: 69%|██████▉ | 48423/70000 [17:08:09<7:57:30, 1.33s/step] Training: 69%|██████▉ | 48424/70000 [17:08:11<7:42:38, 1.29s/step] Training: 69%|██████▉ | 48425/70000 [17:08:12<8:01:55, 1.34s/step] Training: 69%|██████▉ | 48426/70000 [17:08:13<7:44:33, 1.29s/step] Training: 69%|██████▉ | 48427/70000 [17:08:14<7:33:40, 1.26s/step] Training: 69%|██████▉ | 48428/70000 [17:08:16<7:43:33, 1.29s/step] Training: 69%|██████▉ | 48429/70000 [17:08:17<7:37:14, 1.27s/step] Training: 69%|██████▉ | 48430/70000 [17:08:18<7:28:25, 1.25s/step] Training: 69%|██████▉ | 48431/70000 [17:08:20<7:38:07, 1.27s/step] Training: 69%|██████▉ | 48432/70000 [17:08:21<7:43:57, 1.29s/step] Training: 69%|██████▉ | 48433/70000 [17:08:22<7:47:38, 1.30s/step] Training: 69%|██████▉ | 48434/70000 [17:08:24<7:52:13, 1.31s/step] Training: 69%|██████▉ | 48435/70000 [17:08:25<7:37:49, 1.27s/step] Training: 69%|██████▉ | 48436/70000 [17:08:26<7:39:12, 1.28s/step] Training: 69%|██████▉ | 48437/70000 [17:08:27<7:31:58, 1.26s/step] Training: 69%|██████▉ | 48438/70000 [17:08:28<7:28:19, 1.25s/step] Training: 69%|██████▉ | 48439/70000 [17:08:30<7:26:12, 1.24s/step] Training: 69%|██████▉ | 48440/70000 [17:08:31<7:36:58, 1.27s/step] Training: 69%|██████▉ | 48441/70000 [17:08:32<7:42:25, 1.29s/step] Training: 69%|██████▉ | 48442/70000 [17:08:34<7:49:27, 1.31s/step] Training: 69%|██████▉ | 48443/70000 [17:08:35<7:35:43, 1.27s/step] Training: 69%|██████▉ | 48444/70000 [17:08:36<7:29:59, 1.25s/step] Training: 69%|██████▉ | 48445/70000 [17:08:38<7:52:15, 1.31s/step] Training: 69%|██████▉ | 48446/70000 [17:08:39<7:41:01, 1.28s/step] Training: 69%|██████▉ | 48447/70000 [17:08:40<7:33:54, 1.26s/step] Training: 69%|██████▉ | 48448/70000 [17:08:41<7:29:53, 1.25s/step] Training: 69%|██████▉ | 48449/70000 [17:08:42<7:26:29, 1.24s/step] Training: 69%|██████▉ | 48450/70000 [17:08:44<7:20:31, 1.23s/step] Training: 69%|██████▉ | 48451/70000 [17:08:45<7:16:15, 1.21s/step] Training: 69%|██████▉ | 48452/70000 [17:08:46<7:27:53, 1.25s/step] Training: 69%|██████▉ | 48453/70000 [17:08:47<7:37:30, 1.27s/step] Training: 69%|██████▉ | 48454/70000 [17:08:49<7:44:07, 1.29s/step] Training: 69%|██████▉ | 48455/70000 [17:08:50<7:49:52, 1.31s/step] Training: 69%|██████▉ | 48456/70000 [17:08:51<7:39:53, 1.28s/step] Training: 69%|██████▉ | 48457/70000 [17:08:53<7:32:56, 1.26s/step] Training: 69%|██████▉ | 48458/70000 [17:08:54<7:31:16, 1.26s/step] Training: 69%|██████▉ | 48459/70000 [17:08:55<7:23:39, 1.24s/step] Training: 69%|██████▉ | 48460/70000 [17:08:56<7:39:50, 1.28s/step] Training: 69%|██████▉ | 48461/70000 [17:08:58<7:34:35, 1.27s/step] Training: 69%|██████▉ | 48462/70000 [17:08:59<7:40:53, 1.28s/step] Training: 69%|██████▉ | 48463/70000 [17:09:00<7:45:56, 1.30s/step] Training: 69%|██████▉ | 48464/70000 [17:09:02<7:48:51, 1.31s/step] Training: 69%|██████▉ | 48465/70000 [17:09:03<7:51:22, 1.31s/step] Training: 69%|██████▉ | 48466/70000 [17:09:04<7:42:53, 1.29s/step] Training: 69%|██████▉ | 48467/70000 [17:09:05<7:31:01, 1.26s/step] Training: 69%|██████▉ | 48468/70000 [17:09:07<7:29:37, 1.25s/step] Training: 69%|██████▉ | 48469/70000 [17:09:08<7:25:37, 1.24s/step] Training: 69%|██████▉ | 48470/70000 [17:09:09<7:23:52, 1.24s/step] Training: 69%|██████▉ | 48471/70000 [17:09:10<7:22:52, 1.23s/step] Training: 69%|██████▉ | 48472/70000 [17:09:12<7:34:04, 1.27s/step] Training: 69%|██████▉ | 48473/70000 [17:09:13<7:40:50, 1.28s/step] Training: 69%|██████▉ | 48474/70000 [17:09:14<7:30:27, 1.26s/step] Training: 69%|██████▉ | 48475/70000 [17:09:15<7:39:22, 1.28s/step] Training: 69%|██████▉ | 48476/70000 [17:09:17<7:43:44, 1.29s/step] Training: 69%|██████▉ | 48477/70000 [17:09:18<7:50:22, 1.31s/step] Training: 69%|██████▉ | 48478/70000 [17:09:19<7:41:18, 1.29s/step] Training: 69%|██████▉ | 48479/70000 [17:09:21<7:33:52, 1.27s/step] Training: 69%|██████▉ | 48480/70000 [17:09:22<7:29:12, 1.25s/step] Training: 69%|██████▉ | 48481/70000 [17:09:23<7:27:47, 1.25s/step] Training: 69%|██████▉ | 48482/70000 [17:09:24<7:20:37, 1.23s/step] Training: 69%|██████▉ | 48483/70000 [17:09:25<7:28:05, 1.25s/step] Training: 69%|██████▉ | 48484/70000 [17:09:27<7:35:37, 1.27s/step] Training: 69%|██████▉ | 48485/70000 [17:09:28<7:42:09, 1.29s/step] Training: 69%|██████▉ | 48486/70000 [17:09:29<7:46:26, 1.30s/step] Training: 69%|██████▉ | 48487/70000 [17:09:31<7:49:32, 1.31s/step] Training: 69%|██████▉ | 48488/70000 [17:09:32<7:37:39, 1.28s/step] Training: 69%|██████▉ | 48489/70000 [17:09:33<7:30:45, 1.26s/step] Training: 69%|██████▉ | 48490/70000 [17:09:34<7:23:32, 1.24s/step] Training: 69%|██████▉ | 48491/70000 [17:09:36<7:35:49, 1.27s/step] Training: 69%|██████▉ | 48492/70000 [17:09:37<7:40:46, 1.29s/step] Training: 69%|██████▉ | 48493/70000 [17:09:38<7:31:57, 1.26s/step] Training: 69%|██████▉ | 48494/70000 [17:09:40<7:38:43, 1.28s/step] Training: 69%|██████▉ | 48495/70000 [17:09:41<7:44:17, 1.30s/step] Training: 69%|██████▉ | 48496/70000 [17:09:42<7:47:06, 1.30s/step] Training: 69%|██████▉ | 48497/70000 [17:09:44<7:50:02, 1.31s/step] Training: 69%|██████▉ | 48498/70000 [17:09:45<7:36:24, 1.27s/step] Training: 69%|██████▉ | 48499/70000 [17:09:46<7:46:01, 1.30s/step] Training: 69%|██████▉ | 48500/70000 [17:09:47<7:39:23, 1.28s/step]INFO 2026-03-13 13:19:39 ot_train.py:435 step:48K smpl:3M ep:11K epch:41.11 loss:0.009 grdn:0.647 lr:6.2e-06 updt_s:1.252 data_s:0.019 Training: 69%|██████▉ | 48501/70000 [17:09:49<7:33:17, 1.27s/step] Training: 69%|██████▉ | 48502/70000 [17:09:50<7:29:28, 1.25s/step] Training: 69%|██████▉ | 48503/70000 [17:09:51<7:26:43, 1.25s/step] Training: 69%|██████▉ | 48504/70000 [17:09:52<7:36:24, 1.27s/step] Training: 69%|██████▉ | 48505/70000 [17:09:54<7:41:31, 1.29s/step] Training: 69%|██████▉ | 48506/70000 [17:09:55<7:30:51, 1.26s/step] Training: 69%|██████▉ | 48507/70000 [17:09:56<7:23:26, 1.24s/step] Training: 69%|██████▉ | 48508/70000 [17:09:58<7:48:13, 1.31s/step] Training: 69%|██████▉ | 48509/70000 [17:09:59<7:35:26, 1.27s/step] Training: 69%|██████▉ | 48510/70000 [17:10:00<7:43:16, 1.29s/step] Training: 69%|██████▉ | 48511/70000 [17:10:01<7:35:15, 1.27s/step] Training: 69%|██████▉ | 48512/70000 [17:10:03<7:30:54, 1.26s/step] Training: 69%|██████▉ | 48513/70000 [17:10:04<7:27:20, 1.25s/step] Training: 69%|██████▉ | 48514/70000 [17:10:05<7:21:02, 1.23s/step] Training: 69%|██████▉ | 48515/70000 [17:10:06<7:17:18, 1.22s/step] Training: 69%|██████▉ | 48516/70000 [17:10:08<7:42:47, 1.29s/step] Training: 69%|██████▉ | 48517/70000 [17:10:09<7:46:55, 1.30s/step] Training: 69%|██████▉ | 48518/70000 [17:10:10<7:50:27, 1.31s/step] Training: 69%|██████▉ | 48519/70000 [17:10:12<7:53:36, 1.32s/step] Training: 69%|██████▉ | 48520/70000 [17:10:13<7:42:07, 1.29s/step] Training: 69%|██████▉ | 48521/70000 [17:10:14<7:34:01, 1.27s/step] Training: 69%|██████▉ | 48522/70000 [17:10:15<7:25:15, 1.24s/step] Training: 69%|██████▉ | 48523/70000 [17:10:16<7:19:15, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=19888 Training: 69%|██████▉ | 48524/70000 [17:10:18<7:42:49, 1.29s/step] Training: 69%|██████▉ | 48525/70000 [17:10:19<7:33:31, 1.27s/step] Training: 69%|██████▉ | 48526/70000 [17:10:20<7:40:26, 1.29s/step] Training: 69%|██████▉ | 48527/70000 [17:10:22<7:45:02, 1.30s/step] Training: 69%|██████▉ | 48528/70000 [17:10:23<7:47:24, 1.31s/step] Training: 69%|██████▉ | 48529/70000 [17:10:24<7:52:35, 1.32s/step] Training: 69%|██████▉ | 48530/70000 [17:10:26<7:38:44, 1.28s/step] Training: 69%|██████▉ | 48531/70000 [17:10:27<7:28:53, 1.25s/step] Training: 69%|██████▉ | 48532/70000 [17:10:28<7:42:48, 1.29s/step] Training: 69%|██████▉ | 48533/70000 [17:10:29<7:36:11, 1.28s/step] Training: 69%|██████▉ | 48534/70000 [17:10:31<7:30:39, 1.26s/step] Training: 69%|██████▉ | 48535/70000 [17:10:32<7:27:09, 1.25s/step] Training: 69%|██████▉ | 48536/70000 [17:10:33<7:35:16, 1.27s/step] Training: 69%|██████▉ | 48537/70000 [17:10:35<7:41:52, 1.29s/step] Training: 69%|██████▉ | 48538/70000 [17:10:36<7:30:47, 1.26s/step] Training: 69%|██████▉ | 48539/70000 [17:10:37<7:23:15, 1.24s/step] Training: 69%|██████▉ | 48540/70000 [17:10:38<7:32:10, 1.26s/step] Training: 69%|██████▉ | 48541/70000 [17:10:39<7:23:54, 1.24s/step] Training: 69%|██████▉ | 48542/70000 [17:10:41<7:34:59, 1.27s/step] Training: 69%|██████▉ | 48543/70000 [17:10:42<7:27:24, 1.25s/step] Training: 69%|██████▉ | 48544/70000 [17:10:43<7:25:10, 1.24s/step] Training: 69%|██████▉ | 48545/70000 [17:10:44<7:23:12, 1.24s/step] Training: 69%|██████▉ | 48546/70000 [17:10:46<7:17:53, 1.22s/step] Training: 69%|██████▉ | 48547/70000 [17:10:47<7:14:06, 1.21s/step] Training: 69%|██████▉ | 48548/70000 [17:10:48<7:26:42, 1.25s/step] Training: 69%|██████▉ | 48549/70000 [17:10:50<7:50:37, 1.32s/step] Training: 69%|██████▉ | 48550/70000 [17:10:51<7:52:54, 1.32s/step] Training: 69%|██████▉ | 48551/70000 [17:10:52<7:54:25, 1.33s/step] Training: 69%|██████▉ | 48552/70000 [17:10:54<7:44:34, 1.30s/step] Training: 69%|██████▉ | 48553/70000 [17:10:55<7:35:06, 1.27s/step] Training: 69%|██████▉ | 48554/70000 [17:10:56<7:25:57, 1.25s/step] Training: 69%|██████▉ | 48555/70000 [17:10:57<7:19:50, 1.23s/step] Training: 69%|██████▉ | 48556/70000 [17:10:58<7:30:44, 1.26s/step] Training: 69%|██████▉ | 48557/70000 [17:11:00<7:36:37, 1.28s/step] Training: 69%|██████▉ | 48558/70000 [17:11:01<7:41:29, 1.29s/step] Training: 69%|██████▉ | 48559/70000 [17:11:02<7:45:27, 1.30s/step] Training: 69%|██████▉ | 48560/70000 [17:11:04<7:48:52, 1.31s/step] Training: 69%|██████▉ | 48561/70000 [17:11:05<7:50:20, 1.32s/step] Training: 69%|██████▉ | 48562/70000 [17:11:06<7:36:43, 1.28s/step] Training: 69%|██████▉ | 48563/70000 [17:11:07<7:26:53, 1.25s/step] Training: 69%|██████▉ | 48564/70000 [17:11:09<7:25:18, 1.25s/step] Training: 69%|██████▉ | 48565/70000 [17:11:10<7:38:33, 1.28s/step] Training: 69%|██████▉ | 48566/70000 [17:11:11<7:32:13, 1.27s/step] Training: 69%|██████▉ | 48567/70000 [17:11:12<7:27:31, 1.25s/step] Training: 69%|██████▉ | 48568/70000 [17:11:14<7:36:05, 1.28s/step] Training: 69%|██████▉ | 48569/70000 [17:11:15<7:40:58, 1.29s/step] Training: 69%|██████▉ | 48570/70000 [17:11:16<7:30:01, 1.26s/step] Training: 69%|██████▉ | 48571/70000 [17:11:18<7:22:29, 1.24s/step] Training: 69%|██████▉ | 48572/70000 [17:11:19<7:19:55, 1.23s/step] Training: 69%|██████▉ | 48573/70000 [17:11:20<7:26:17, 1.25s/step] Training: 69%|██████▉ | 48574/70000 [17:11:21<7:46:18, 1.31s/step] Training: 69%|██████▉ | 48575/70000 [17:11:23<7:36:38, 1.28s/step] Training: 69%|██████▉ | 48576/70000 [17:11:24<7:32:07, 1.27s/step] Training: 69%|██████▉ | 48577/70000 [17:11:25<7:28:02, 1.25s/step] Training: 69%|██████▉ | 48578/70000 [17:11:26<7:21:58, 1.24s/step] Training: 69%|██████▉ | 48579/70000 [17:11:28<7:16:14, 1.22s/step] Training: 69%|██████▉ | 48580/70000 [17:11:29<7:28:14, 1.26s/step] Training: 69%|██████▉ | 48581/70000 [17:11:30<7:35:20, 1.28s/step] Training: 69%|██████▉ | 48582/70000 [17:11:32<7:43:35, 1.30s/step] Training: 69%|██████▉ | 48583/70000 [17:11:33<7:58:06, 1.34s/step] Training: 69%|██████▉ | 48584/70000 [17:11:34<7:44:40, 1.30s/step] Training: 69%|██████▉ | 48585/70000 [17:11:35<7:34:26, 1.27s/step] Training: 69%|██████▉ | 48586/70000 [17:11:37<7:25:45, 1.25s/step] Training: 69%|██████▉ | 48587/70000 [17:11:38<7:19:16, 1.23s/step] Training: 69%|██████▉ | 48588/70000 [17:11:39<7:29:37, 1.26s/step] Training: 69%|██████▉ | 48589/70000 [17:11:40<7:29:06, 1.26s/step] Training: 69%|██████▉ | 48590/70000 [17:11:42<7:21:58, 1.24s/step] Training: 69%|██████▉ | 48591/70000 [17:11:43<7:38:44, 1.29s/step] Training: 69%|██████▉ | 48592/70000 [17:11:44<7:43:48, 1.30s/step] Training: 69%|██████▉ | 48593/70000 [17:11:46<7:46:35, 1.31s/step] Training: 69%|██████▉ | 48594/70000 [17:11:47<7:34:52, 1.28s/step] Training: 69%|██████▉ | 48595/70000 [17:11:48<7:24:56, 1.25s/step] Training: 69%|██████▉ | 48596/70000 [17:11:49<7:25:09, 1.25s/step] Training: 69%|██████▉ | 48597/70000 [17:11:51<7:34:21, 1.27s/step] Training: 69%|██████▉ | 48598/70000 [17:11:52<7:32:05, 1.27s/step] Training: 69%|██████▉ | 48599/70000 [17:11:53<7:30:36, 1.26s/step] Training: 69%|██████▉ | 48600/70000 [17:11:54<7:37:22, 1.28s/step]INFO 2026-03-13 13:21:47 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.19 loss:0.009 grdn:1.707 lr:6.1e-06 updt_s:1.249 data_s:0.019 Training: 69%|██████▉ | 48601/70000 [17:11:56<7:42:28, 1.30s/step] Training: 69%|██████▉ | 48602/70000 [17:11:57<7:30:49, 1.26s/step] Training: 69%|██████▉ | 48603/70000 [17:11:58<7:22:43, 1.24s/step] Training: 69%|██████▉ | 48604/70000 [17:11:59<7:19:18, 1.23s/step] Training: 69%|██████▉ | 48605/70000 [17:12:01<7:30:06, 1.26s/step] Training: 69%|██████▉ | 48606/70000 [17:12:02<7:30:10, 1.26s/step] Training: 69%|██████▉ | 48607/70000 [17:12:03<7:37:59, 1.28s/step] Training: 69%|██████▉ | 48608/70000 [17:12:04<7:32:09, 1.27s/step] Training: 69%|██████▉ | 48609/70000 [17:12:06<7:27:34, 1.26s/step] Training: 69%|██████▉ | 48610/70000 [17:12:07<7:20:43, 1.24s/step] Training: 69%|██████▉ | 48611/70000 [17:12:08<7:15:39, 1.22s/step] Training: 69%|██████▉ | 48612/70000 [17:12:09<7:27:22, 1.26s/step] Training: 69%|██████▉ | 48613/70000 [17:12:11<7:36:32, 1.28s/step] Training: 69%|██████▉ | 48614/70000 [17:12:12<7:26:59, 1.25s/step] Training: 69%|██████▉ | 48615/70000 [17:12:13<7:48:16, 1.31s/step] Training: 69%|██████▉ | 48616/70000 [17:12:15<7:38:22, 1.29s/step] Training: 69%|██████▉ | 48617/70000 [17:12:16<7:31:07, 1.27s/step] Training: 69%|██████▉ | 48618/70000 [17:12:17<7:23:22, 1.24s/step] Training: 69%|██████▉ | 48619/70000 [17:12:18<7:17:26, 1.23s/step] Training: 69%|██████▉ | 48620/70000 [17:12:20<7:29:06, 1.26s/step] Training: 69%|██████▉ | 48621/70000 [17:12:21<7:28:15, 1.26s/step] Training: 69%|██████▉ | 48622/70000 [17:12:22<7:20:52, 1.24s/step] Training: 69%|██████▉ | 48623/70000 [17:12:23<7:38:54, 1.29s/step] Training: 69%|██████▉ | 48624/70000 [17:12:25<7:42:54, 1.30s/step] Training: 69%|██████▉ | 48625/70000 [17:12:26<7:45:33, 1.31s/step] Training: 69%|██████▉ | 48626/70000 [17:12:27<7:33:07, 1.27s/step] Training: 69%|██████▉ | 48627/70000 [17:12:28<7:24:01, 1.25s/step] Training: 69%|██████▉ | 48628/70000 [17:12:30<7:22:10, 1.24s/step] Training: 69%|██████▉ | 48629/70000 [17:12:31<7:30:34, 1.27s/step] Training: 69%|██████▉ | 48630/70000 [17:12:32<7:22:27, 1.24s/step] Training: 69%|██████▉ | 48631/70000 [17:12:33<7:22:36, 1.24s/step] Training: 69%|██████▉ | 48632/70000 [17:12:35<7:40:42, 1.29s/step] Training: 69%|██████▉ | 48633/70000 [17:12:36<7:43:42, 1.30s/step] Training: 69%|██████▉ | 48634/70000 [17:12:37<7:32:15, 1.27s/step] Training: 69%|██████▉ | 48635/70000 [17:12:39<7:23:44, 1.25s/step] Training: 69%|██████▉ | 48636/70000 [17:12:40<7:19:30, 1.23s/step] Training: 69%|██████▉ | 48637/70000 [17:12:41<7:29:45, 1.26s/step] Training: 69%|██████▉ | 48638/70000 [17:12:42<7:21:53, 1.24s/step] Training: 69%|██████▉ | 48639/70000 [17:12:44<7:33:49, 1.27s/step] Training: 69%|██████▉ | 48640/70000 [17:12:45<7:27:23, 1.26s/step] Training: 69%|██████▉ | 48641/70000 [17:12:46<7:24:06, 1.25s/step] Training: 69%|██████▉ | 48642/70000 [17:12:47<7:17:37, 1.23s/step] Training: 69%|██████▉ | 48643/70000 [17:12:48<7:13:25, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=19888 Training: 69%|██████▉ | 48644/70000 [17:12:50<7:26:03, 1.25s/step] Training: 69%|██████▉ | 48645/70000 [17:12:51<7:34:52, 1.28s/step] Training: 69%|██████▉ | 48646/70000 [17:12:52<7:25:28, 1.25s/step] Training: 69%|██████▉ | 48647/70000 [17:12:54<7:35:53, 1.28s/step] Training: 69%|██████▉ | 48648/70000 [17:12:55<7:43:01, 1.30s/step] Training: 69%|██████▉ | 48649/70000 [17:12:56<7:32:07, 1.27s/step] Training: 70%|██████▉ | 48650/70000 [17:12:57<7:23:39, 1.25s/step] Training: 70%|██████▉ | 48651/70000 [17:12:59<7:17:17, 1.23s/step] Training: 70%|██████▉ | 48652/70000 [17:13:00<7:28:23, 1.26s/step] Training: 70%|██████▉ | 48653/70000 [17:13:01<7:27:57, 1.26s/step] Training: 70%|██████▉ | 48654/70000 [17:13:02<7:20:28, 1.24s/step] Training: 70%|██████▉ | 48655/70000 [17:13:04<7:34:36, 1.28s/step] Training: 70%|██████▉ | 48656/70000 [17:13:05<7:48:37, 1.32s/step] Training: 70%|██████▉ | 48657/70000 [17:13:06<7:48:56, 1.32s/step] Training: 70%|██████▉ | 48658/70000 [17:13:08<7:35:11, 1.28s/step] Training: 70%|██████▉ | 48659/70000 [17:13:09<7:25:29, 1.25s/step] Training: 70%|██████▉ | 48660/70000 [17:13:10<7:22:30, 1.24s/step] Training: 70%|██████▉ | 48661/70000 [17:13:11<7:31:23, 1.27s/step] Training: 70%|██████▉ | 48662/70000 [17:13:13<7:22:44, 1.24s/step] Training: 70%|██████▉ | 48663/70000 [17:13:14<7:24:12, 1.25s/step] Training: 70%|██████▉ | 48664/70000 [17:13:15<7:32:00, 1.27s/step] Training: 70%|██████▉ | 48665/70000 [17:13:16<7:36:59, 1.29s/step] Training: 70%|██████▉ | 48666/70000 [17:13:18<7:26:25, 1.26s/step] Training: 70%|██████▉ | 48667/70000 [17:13:19<7:19:36, 1.24s/step] Training: 70%|██████▉ | 48668/70000 [17:13:20<7:16:58, 1.23s/step] Training: 70%|██████▉ | 48669/70000 [17:13:21<7:28:59, 1.26s/step] Training: 70%|██████▉ | 48670/70000 [17:13:23<7:21:12, 1.24s/step] Training: 70%|██████▉ | 48671/70000 [17:13:24<7:31:36, 1.27s/step] Training: 70%|██████▉ | 48672/70000 [17:13:25<7:26:33, 1.26s/step] Training: 70%|██████▉ | 48673/70000 [17:13:26<7:22:56, 1.25s/step] Training: 70%|██████▉ | 48674/70000 [17:13:28<7:16:40, 1.23s/step] Training: 70%|██████▉ | 48675/70000 [17:13:29<7:12:34, 1.22s/step] Training: 70%|██████▉ | 48676/70000 [17:13:30<7:24:13, 1.25s/step] Training: 70%|██████▉ | 48677/70000 [17:13:31<7:31:59, 1.27s/step] Training: 70%|██████▉ | 48678/70000 [17:13:33<7:23:31, 1.25s/step] Training: 70%|██████▉ | 48679/70000 [17:13:34<7:32:17, 1.27s/step] Training: 70%|██████▉ | 48680/70000 [17:13:35<7:41:30, 1.30s/step] Training: 70%|██████▉ | 48681/70000 [17:13:36<7:30:02, 1.27s/step] Training: 70%|██████▉ | 48682/70000 [17:13:38<7:22:04, 1.24s/step] Training: 70%|██████▉ | 48683/70000 [17:13:39<7:15:53, 1.23s/step] Training: 70%|██████▉ | 48684/70000 [17:13:40<7:27:18, 1.26s/step] Training: 70%|██████▉ | 48685/70000 [17:13:41<7:27:09, 1.26s/step] Training: 70%|██████▉ | 48686/70000 [17:13:43<7:19:39, 1.24s/step] Training: 70%|██████▉ | 48687/70000 [17:13:44<7:29:22, 1.27s/step] Training: 70%|██████▉ | 48688/70000 [17:13:45<7:34:05, 1.28s/step] Training: 70%|██████▉ | 48689/70000 [17:13:47<7:55:25, 1.34s/step] Training: 70%|██████▉ | 48690/70000 [17:13:48<7:39:23, 1.29s/step] Training: 70%|██████▉ | 48691/70000 [17:13:49<7:28:05, 1.26s/step] Training: 70%|██████▉ | 48692/70000 [17:13:50<7:24:21, 1.25s/step] Training: 70%|██████▉ | 48693/70000 [17:13:52<7:32:58, 1.28s/step] Training: 70%|██████▉ | 48694/70000 [17:13:53<7:23:28, 1.25s/step] Training: 70%|██████▉ | 48695/70000 [17:13:54<7:21:54, 1.24s/step] Training: 70%|██████▉ | 48696/70000 [17:13:55<7:16:13, 1.23s/step] Training: 70%|██████▉ | 48697/70000 [17:13:57<7:34:50, 1.28s/step] Training: 70%|██████▉ | 48698/70000 [17:13:58<7:24:45, 1.25s/step] Training: 70%|██████▉ | 48699/70000 [17:13:59<7:17:56, 1.23s/step] Training: 70%|██████▉ | 48700/70000 [17:14:00<7:15:07, 1.23s/step]INFO 2026-03-13 13:23:52 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.28 loss:0.008 grdn:2.396 lr:6.1e-06 updt_s:1.238 data_s:0.019 Training: 70%|██████▉ | 48701/70000 [17:14:02<7:26:06, 1.26s/step] Training: 70%|██████▉ | 48702/70000 [17:14:03<7:19:13, 1.24s/step] Training: 70%|██████▉ | 48703/70000 [17:14:04<7:16:34, 1.23s/step] Training: 70%|██████▉ | 48704/70000 [17:14:05<7:26:19, 1.26s/step] Training: 70%|██████▉ | 48705/70000 [17:14:07<7:23:10, 1.25s/step] Training: 70%|██████▉ | 48706/70000 [17:14:08<7:32:46, 1.28s/step] Training: 70%|██████▉ | 48707/70000 [17:14:09<7:22:38, 1.25s/step] Training: 70%|██████▉ | 48708/70000 [17:14:10<7:32:21, 1.27s/step] Training: 70%|██████▉ | 48709/70000 [17:14:12<7:39:10, 1.29s/step] Training: 70%|██████▉ | 48710/70000 [17:14:13<7:28:25, 1.26s/step] Training: 70%|██████▉ | 48711/70000 [17:14:14<7:35:52, 1.28s/step] Training: 70%|██████▉ | 48712/70000 [17:14:16<7:40:56, 1.30s/step] Training: 70%|██████▉ | 48713/70000 [17:14:17<7:49:09, 1.32s/step] Training: 70%|██████▉ | 48714/70000 [17:14:18<7:33:50, 1.28s/step] Training: 70%|██████▉ | 48715/70000 [17:14:19<7:24:10, 1.25s/step] Training: 70%|██████▉ | 48716/70000 [17:14:21<7:31:56, 1.27s/step] Training: 70%|██████▉ | 48717/70000 [17:14:22<7:29:07, 1.27s/step] Training: 70%|██████▉ | 48718/70000 [17:14:23<7:21:03, 1.24s/step] Training: 70%|██████▉ | 48719/70000 [17:14:24<7:29:12, 1.27s/step] Training: 70%|██████▉ | 48720/70000 [17:14:26<7:35:55, 1.29s/step] Training: 70%|██████▉ | 48721/70000 [17:14:27<7:40:48, 1.30s/step] Training: 70%|██████▉ | 48722/70000 [17:14:28<7:44:24, 1.31s/step] Training: 70%|██████▉ | 48723/70000 [17:14:30<7:30:32, 1.27s/step] Training: 70%|██████▉ | 48724/70000 [17:14:31<7:26:10, 1.26s/step] Training: 70%|██████▉ | 48725/70000 [17:14:32<7:33:27, 1.28s/step] Training: 70%|██████▉ | 48726/70000 [17:14:33<7:23:52, 1.25s/step] Training: 70%|██████▉ | 48727/70000 [17:14:35<7:20:56, 1.24s/step] Training: 70%|██████▉ | 48728/70000 [17:14:36<7:30:57, 1.27s/step] Training: 70%|██████▉ | 48729/70000 [17:14:37<7:37:46, 1.29s/step] Training: 70%|██████▉ | 48730/70000 [17:14:39<7:44:33, 1.31s/step] Training: 70%|██████▉ | 48731/70000 [17:14:40<7:30:38, 1.27s/step] Training: 70%|██████▉ | 48732/70000 [17:14:41<7:24:16, 1.25s/step] Training: 70%|██████▉ | 48733/70000 [17:14:42<7:32:15, 1.28s/step] Training: 70%|██████▉ | 48734/70000 [17:14:44<7:23:03, 1.25s/step] Training: 70%|██████▉ | 48735/70000 [17:14:45<7:18:39, 1.24s/step] Training: 70%|██████▉ | 48736/70000 [17:14:46<7:33:33, 1.28s/step] Training: 70%|██████▉ | 48737/70000 [17:14:47<7:27:32, 1.26s/step] Training: 70%|██████▉ | 48738/70000 [17:14:49<7:19:39, 1.24s/step] Training: 70%|██████▉ | 48739/70000 [17:14:50<7:14:11, 1.23s/step] Training: 70%|██████▉ | 48740/70000 [17:14:51<7:25:38, 1.26s/step] Training: 70%|██████▉ | 48741/70000 [17:14:52<7:33:21, 1.28s/step] Training: 70%|██████▉ | 48742/70000 [17:14:54<7:24:09, 1.25s/step] Training: 70%|██████▉ | 48743/70000 [17:14:55<7:31:55, 1.28s/step] Training: 70%|██████▉ | 48744/70000 [17:14:56<7:37:12, 1.29s/step] Training: 70%|██████▉ | 48745/70000 [17:14:57<7:28:59, 1.27s/step] Training: 70%|██████▉ | 48746/70000 [17:14:59<7:27:33, 1.26s/step] Training: 70%|██████▉ | 48747/70000 [17:15:00<7:19:38, 1.24s/step] Training: 70%|██████▉ | 48748/70000 [17:15:01<7:30:04, 1.27s/step] Training: 70%|██████▉ | 48749/70000 [17:15:02<7:27:31, 1.26s/step] Training: 70%|██████▉ | 48750/70000 [17:15:04<7:19:31, 1.24s/step] Training: 70%|██████▉ | 48751/70000 [17:15:05<7:28:17, 1.27s/step] Training: 70%|██████▉ | 48752/70000 [17:15:06<7:34:20, 1.28s/step] Training: 70%|██████▉ | 48753/70000 [17:15:08<7:38:50, 1.30s/step] Training: 70%|██████▉ | 48754/70000 [17:15:09<7:33:59, 1.28s/step] Training: 70%|██████▉ | 48755/70000 [17:15:10<7:23:31, 1.25s/step] Training: 70%|██████▉ | 48756/70000 [17:15:11<7:20:25, 1.24s/step] Training: 70%|██████▉ | 48757/70000 [17:15:13<7:28:54, 1.27s/step] Training: 70%|██████▉ | 48758/70000 [17:15:14<7:20:53, 1.25s/step] Training: 70%|██████▉ | 48759/70000 [17:15:15<7:18:22, 1.24s/step] Training: 70%|██████▉ | 48760/70000 [17:15:16<7:28:29, 1.27s/step] Training: 70%|██████▉ | 48761/70000 [17:15:18<7:35:11, 1.29s/step] Training: 70%|██████▉ | 48762/70000 [17:15:19<7:24:54, 1.26s/step] Training: 70%|██████▉ | 48763/70000 [17:15:20<7:34:35, 1.28s/step] Training: 70%|██████▉ | 48764/70000 [17:15:21<7:25:53, 1.26s/step] Training: 70%|██████▉ | 48765/70000 [17:15:23<7:32:56, 1.28s/step] Training: 70%|██████▉ | 48766/70000 [17:15:24<7:23:42, 1.25s/step] Training: 70%|██████▉ | 48767/70000 [17:15:25<7:18:03, 1.24s/step] Training: 70%|██████▉ | 48768/70000 [17:15:27<7:29:13, 1.27s/step] Training: 70%|██████▉ | 48769/70000 [17:15:28<7:24:06, 1.26s/step] Training: 70%|██████▉ | 48770/70000 [17:15:29<7:17:03, 1.24s/step] Training: 70%|██████▉ | 48771/70000 [17:15:30<7:22:48, 1.25s/step] Training: 70%|██████▉ | 48772/70000 [17:15:32<7:31:31, 1.28s/step] Training: 70%|██████▉ | 48773/70000 [17:15:33<7:36:35, 1.29s/step] Training: 70%|██████▉ | 48774/70000 [17:15:34<7:39:36, 1.30s/step] Training: 70%|██████▉ | 48775/70000 [17:15:36<7:42:31, 1.31s/step] Training: 70%|██████▉ | 48776/70000 [17:15:37<7:44:32, 1.31s/step] Training: 70%|██████▉ | 48777/70000 [17:15:38<7:33:19, 1.28s/step] Training: 70%|██████▉ | 48778/70000 [17:15:39<7:23:33, 1.25s/step] Training: 70%|██████▉ | 48779/70000 [17:15:41<7:33:51, 1.28s/step] Training: 70%|██████▉ | 48780/70000 [17:15:42<7:38:23, 1.30s/step] Training: 70%|██████▉ | 48781/70000 [17:15:43<7:29:34, 1.27s/step] Training: 70%|██████▉ | 48782/70000 [17:15:44<7:33:47, 1.28s/step] Training: 70%|██████▉ | 48783/70000 [17:15:46<7:38:28, 1.30s/step] Training: 70%|██████▉ | 48784/70000 [17:15:47<7:28:56, 1.27s/step] Training: 70%|██████▉ | 48785/70000 [17:15:48<7:47:49, 1.32s/step] Training: 70%|██████▉ | 48786/70000 [17:15:50<7:33:20, 1.28s/step] Training: 70%|██████▉ | 48787/70000 [17:15:51<7:41:05, 1.30s/step] Training: 70%|██████▉ | 48788/70000 [17:15:52<7:35:10, 1.29s/step] Training: 70%|██████▉ | 48789/70000 [17:15:54<7:39:25, 1.30s/step] Training: 70%|██████▉ | 48790/70000 [17:15:55<7:28:19, 1.27s/step] Training: 70%|██████▉ | 48791/70000 [17:15:56<7:23:59, 1.26s/step] Training: 70%|██████▉ | 48792/70000 [17:15:57<7:32:31, 1.28s/step] Training: 70%|██████▉ | 48793/70000 [17:15:59<7:37:34, 1.29s/step] Training: 70%|██████▉ | 48794/70000 [17:16:00<7:27:25, 1.27s/step] Training: 70%|██████▉ | 48795/70000 [17:16:01<7:18:27, 1.24s/step] Training: 70%|██████▉ | 48796/70000 [17:16:02<7:30:57, 1.28s/step] Training: 70%|██████▉ | 48797/70000 [17:16:04<7:35:18, 1.29s/step] Training: 70%|██████▉ | 48798/70000 [17:16:05<7:36:42, 1.29s/step] Training: 70%|██████▉ | 48799/70000 [17:16:06<7:28:04, 1.27s/step] Training: 70%|██████▉ | 48800/70000 [17:16:08<7:37:33, 1.29s/step]INFO 2026-03-13 13:26:00 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.36 loss:0.010 grdn:0.947 lr:6.1e-06 updt_s:1.251 data_s:0.019 Training: 70%|██████▉ | 48801/70000 [17:16:09<7:30:08, 1.27s/step] Training: 70%|██████▉ | 48802/70000 [17:16:10<7:20:43, 1.25s/step] Training: 70%|██████▉ | 48803/70000 [17:16:11<7:14:31, 1.23s/step] Training: 70%|██████▉ | 48804/70000 [17:16:13<7:40:17, 1.30s/step] Training: 70%|██████▉ | 48805/70000 [17:16:14<7:43:11, 1.31s/step] Training: 70%|██████▉ | 48806/70000 [17:16:15<7:45:28, 1.32s/step] Training: 70%|██████▉ | 48807/70000 [17:16:17<7:45:27, 1.32s/step] Training: 70%|██████▉ | 48808/70000 [17:16:18<7:46:28, 1.32s/step] Training: 70%|██████▉ | 48809/70000 [17:16:19<7:36:39, 1.29s/step] Training: 70%|██████▉ | 48810/70000 [17:16:20<7:25:22, 1.26s/step] Training: 70%|██████▉ | 48811/70000 [17:16:22<7:17:44, 1.24s/step] Training: 70%|██████▉ | 48812/70000 [17:16:23<7:36:42, 1.29s/step] Training: 70%|██████▉ | 48813/70000 [17:16:24<7:27:49, 1.27s/step] Training: 70%|██████▉ | 48814/70000 [17:16:25<7:21:56, 1.25s/step] Training: 70%|██████▉ | 48815/70000 [17:16:27<7:30:58, 1.28s/step] Training: 70%|██████▉ | 48816/70000 [17:16:28<7:23:52, 1.26s/step] Training: 70%|██████▉ | 48817/70000 [17:16:29<7:42:47, 1.31s/step] Training: 70%|██████▉ | 48818/70000 [17:16:31<7:29:56, 1.27s/step] Training: 70%|██████▉ | 48819/70000 [17:16:32<7:20:48, 1.25s/step] Training: 70%|██████▉ | 48820/70000 [17:16:33<7:35:56, 1.29s/step] Training: 70%|██████▉ | 48821/70000 [17:16:34<7:39:14, 1.30s/step] Training: 70%|██████▉ | 48822/70000 [17:16:36<7:27:33, 1.27s/step] Training: 70%|██████▉ | 48823/70000 [17:16:37<7:34:27, 1.29s/step] Training: 70%|██████▉ | 48824/70000 [17:16:38<7:39:33, 1.30s/step] Training: 70%|██████▉ | 48825/70000 [17:16:40<7:42:48, 1.31s/step] Training: 70%|██████▉ | 48826/70000 [17:16:41<7:29:50, 1.27s/step] Training: 70%|██████▉ | 48827/70000 [17:16:42<7:20:59, 1.25s/step] Training: 70%|██████▉ | 48828/70000 [17:16:43<7:19:51, 1.25s/step] Training: 70%|██████▉ | 48829/70000 [17:16:45<7:27:02, 1.27s/step] Training: 70%|██████▉ | 48830/70000 [17:16:46<7:19:01, 1.24s/step] Training: 70%|██████▉ | 48831/70000 [17:16:47<7:15:45, 1.24s/step] Training: 70%|██████▉ | 48832/70000 [17:16:48<7:29:57, 1.28s/step] Training: 70%|██████▉ | 48833/70000 [17:16:50<7:24:30, 1.26s/step] Training: 70%|██████▉ | 48834/70000 [17:16:51<7:16:45, 1.24s/step] Training: 70%|██████▉ | 48835/70000 [17:16:52<7:11:32, 1.22s/step] Training: 70%|██████▉ | 48836/70000 [17:16:53<7:22:35, 1.25s/step] Training: 70%|██████▉ | 48837/70000 [17:16:55<7:43:02, 1.31s/step] Training: 70%|██████▉ | 48838/70000 [17:16:56<7:33:56, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=31717 Training: 70%|██████▉ | 48839/70000 [17:16:57<7:38:33, 1.30s/step] Training: 70%|██████▉ | 48840/70000 [17:16:59<7:41:44, 1.31s/step] Training: 70%|██████▉ | 48841/70000 [17:17:00<7:30:35, 1.28s/step] Training: 70%|██████▉ | 48842/70000 [17:17:01<7:21:08, 1.25s/step] Training: 70%|██████▉ | 48843/70000 [17:17:02<7:15:03, 1.23s/step] Training: 70%|██████▉ | 48844/70000 [17:17:04<7:25:00, 1.26s/step] Training: 70%|██████▉ | 48845/70000 [17:17:05<7:30:35, 1.28s/step] Training: 70%|██████▉ | 48846/70000 [17:17:06<7:24:02, 1.26s/step] Training: 70%|██████▉ | 48847/70000 [17:17:07<7:31:36, 1.28s/step] Training: 70%|██████▉ | 48848/70000 [17:17:09<7:36:06, 1.29s/step] Training: 70%|██████▉ | 48849/70000 [17:17:10<7:39:19, 1.30s/step] Training: 70%|██████▉ | 48850/70000 [17:17:11<7:27:29, 1.27s/step] Training: 70%|██████▉ | 48851/70000 [17:17:12<7:18:44, 1.24s/step] Training: 70%|██████▉ | 48852/70000 [17:17:14<7:16:45, 1.24s/step] Training: 70%|██████▉ | 48853/70000 [17:17:15<7:30:16, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=67003 Training: 70%|██████▉ | 48854/70000 [17:17:16<7:34:46, 1.29s/step] Training: 70%|██████▉ | 48855/70000 [17:17:18<7:27:50, 1.27s/step] Training: 70%|██████▉ | 48856/70000 [17:17:19<7:34:33, 1.29s/step] Training: 70%|██████▉ | 48857/70000 [17:17:20<7:39:21, 1.30s/step] Training: 70%|██████▉ | 48858/70000 [17:17:21<7:27:15, 1.27s/step] Training: 70%|██████▉ | 48859/70000 [17:17:23<7:19:28, 1.25s/step] Training: 70%|██████▉ | 48860/70000 [17:17:24<7:16:10, 1.24s/step] Training: 70%|██████▉ | 48861/70000 [17:17:25<7:25:38, 1.26s/step] Training: 70%|██████▉ | 48862/70000 [17:17:27<7:45:22, 1.32s/step] Training: 70%|██████▉ | 48863/70000 [17:17:28<7:33:40, 1.29s/step] Training: 70%|██████▉ | 48864/70000 [17:17:29<7:42:55, 1.31s/step] Training: 70%|██████▉ | 48865/70000 [17:17:30<7:33:32, 1.29s/step] Training: 70%|██████▉ | 48866/70000 [17:17:32<7:23:14, 1.26s/step] Training: 70%|██████▉ | 48867/70000 [17:17:33<7:15:56, 1.24s/step] Training: 70%|██████▉ | 48868/70000 [17:17:34<7:25:59, 1.27s/step] Training: 70%|██████▉ | 48869/70000 [17:17:35<7:32:31, 1.28s/step] Training: 70%|██████▉ | 48870/70000 [17:17:37<7:38:23, 1.30s/step] Training: 70%|██████▉ | 48871/70000 [17:17:38<7:39:42, 1.31s/step] Training: 70%|██████▉ | 48872/70000 [17:17:39<7:42:34, 1.31s/step] Training: 70%|██████▉ | 48873/70000 [17:17:41<7:31:53, 1.28s/step] Training: 70%|██████▉ | 48874/70000 [17:17:42<7:22:14, 1.26s/step] Training: 70%|██████▉ | 48875/70000 [17:17:43<7:15:14, 1.24s/step] Training: 70%|██████▉ | 48876/70000 [17:17:44<7:25:11, 1.26s/step] Training: 70%|██████▉ | 48877/70000 [17:17:46<7:19:56, 1.25s/step] Training: 70%|██████▉ | 48878/70000 [17:17:47<7:16:18, 1.24s/step] Training: 70%|██████▉ | 48879/70000 [17:17:48<7:27:03, 1.27s/step] Training: 70%|██████▉ | 48880/70000 [17:17:49<7:32:42, 1.29s/step] Training: 70%|██████▉ | 48881/70000 [17:17:51<7:37:01, 1.30s/step] Training: 70%|██████▉ | 48882/70000 [17:17:52<7:25:46, 1.27s/step] Training: 70%|██████▉ | 48883/70000 [17:17:53<7:17:47, 1.24s/step] Training: 70%|██████▉ | 48884/70000 [17:17:54<7:15:43, 1.24s/step] Training: 70%|██████▉ | 48885/70000 [17:17:56<7:25:14, 1.27s/step] Training: 70%|██████▉ | 48886/70000 [17:17:57<7:37:59, 1.30s/step] Training: 70%|██████▉ | 48887/70000 [17:17:58<7:29:52, 1.28s/step] Training: 70%|██████▉ | 48888/70000 [17:18:00<7:36:06, 1.30s/step] Training: 70%|██████▉ | 48889/70000 [17:18:01<7:25:10, 1.27s/step] Training: 70%|██████▉ | 48890/70000 [17:18:02<7:44:16, 1.32s/step] Training: 70%|██████▉ | 48891/70000 [17:18:04<7:30:29, 1.28s/step] Training: 70%|██████▉ | 48892/70000 [17:18:05<7:22:58, 1.26s/step] Training: 70%|██████▉ | 48893/70000 [17:18:06<7:30:17, 1.28s/step] Training: 70%|██████▉ | 48894/70000 [17:18:07<7:35:27, 1.29s/step] Training: 70%|██████▉ | 48895/70000 [17:18:09<7:26:32, 1.27s/step] Training: 70%|██████▉ | 48896/70000 [17:18:10<7:38:18, 1.30s/step] Training: 70%|██████▉ | 48897/70000 [17:18:11<7:26:20, 1.27s/step] Training: 70%|██████▉ | 48898/70000 [17:18:12<7:29:43, 1.28s/step] Training: 70%|██████▉ | 48899/70000 [17:18:14<7:20:09, 1.25s/step] Training: 70%|██████▉ | 48900/70000 [17:18:15<7:27:37, 1.27s/step]INFO 2026-03-13 13:28:07 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.45 loss:0.009 grdn:0.740 lr:6.0e-06 updt_s:1.253 data_s:0.019 Training: 70%|██████▉ | 48901/70000 [17:18:16<7:33:14, 1.29s/step] Training: 70%|██████▉ | 48902/70000 [17:18:18<7:28:39, 1.28s/step] Training: 70%|██████▉ | 48903/70000 [17:18:19<7:43:16, 1.32s/step] Training: 70%|██████▉ | 48904/70000 [17:18:20<7:44:29, 1.32s/step] Training: 70%|██████▉ | 48905/70000 [17:18:22<7:30:59, 1.28s/step] Training: 70%|██████▉ | 48906/70000 [17:18:23<7:20:50, 1.25s/step] Training: 70%|██████▉ | 48907/70000 [17:18:24<7:13:48, 1.23s/step] Training: 70%|██████▉ | 48908/70000 [17:18:25<7:24:06, 1.26s/step] Training: 70%|██████▉ | 48909/70000 [17:18:26<7:19:28, 1.25s/step] Training: 70%|██████▉ | 48910/70000 [17:18:28<7:16:27, 1.24s/step] Training: 70%|██████▉ | 48911/70000 [17:18:29<7:33:04, 1.29s/step] Training: 70%|██████▉ | 48912/70000 [17:18:30<7:37:13, 1.30s/step] Training: 70%|██████▉ | 48913/70000 [17:18:32<7:25:16, 1.27s/step] Training: 70%|██████▉ | 48914/70000 [17:18:33<7:29:16, 1.28s/step] Training: 70%|██████▉ | 48915/70000 [17:18:34<7:20:08, 1.25s/step] Training: 70%|██████▉ | 48916/70000 [17:18:35<7:17:34, 1.25s/step] Training: 70%|██████▉ | 48917/70000 [17:18:37<7:26:45, 1.27s/step] Training: 70%|██████▉ | 48918/70000 [17:18:38<7:33:09, 1.29s/step] Training: 70%|██████▉ | 48919/70000 [17:18:39<7:26:44, 1.27s/step] Training: 70%|██████▉ | 48920/70000 [17:18:41<7:44:29, 1.32s/step] Training: 70%|██████▉ | 48921/70000 [17:18:42<7:30:26, 1.28s/step] Training: 70%|██████▉ | 48922/70000 [17:18:43<7:35:17, 1.30s/step] Training: 70%|██████▉ | 48923/70000 [17:18:44<7:24:06, 1.26s/step] Training: 70%|██████▉ | 48924/70000 [17:18:46<7:18:47, 1.25s/step] Training: 70%|██████▉ | 48925/70000 [17:18:47<7:12:29, 1.23s/step] Training: 70%|██████▉ | 48926/70000 [17:18:48<7:25:22, 1.27s/step] Training: 70%|██████▉ | 48927/70000 [17:18:49<7:35:02, 1.30s/step] Training: 70%|██████▉ | 48928/70000 [17:18:51<7:39:28, 1.31s/step] Training: 70%|██████▉ | 48929/70000 [17:18:52<7:27:15, 1.27s/step] Training: 70%|██████▉ | 48930/70000 [17:18:53<7:21:36, 1.26s/step] Training: 70%|██████▉ | 48931/70000 [17:18:54<7:14:37, 1.24s/step] Training: 70%|██████▉ | 48932/70000 [17:18:56<7:24:50, 1.27s/step] Training: 70%|██████▉ | 48933/70000 [17:18:57<7:21:40, 1.26s/step] Training: 70%|██████▉ | 48934/70000 [17:18:58<7:20:19, 1.25s/step] Training: 70%|██████▉ | 48935/70000 [17:19:00<7:27:28, 1.27s/step] Training: 70%|██████▉ | 48936/70000 [17:19:01<7:46:05, 1.33s/step] Training: 70%|██████▉ | 48937/70000 [17:19:02<7:31:51, 1.29s/step] Training: 70%|██████▉ | 48938/70000 [17:19:04<7:36:03, 1.30s/step] Training: 70%|██████▉ | 48939/70000 [17:19:05<7:24:28, 1.27s/step] Training: 70%|██████▉ | 48940/70000 [17:19:06<7:30:23, 1.28s/step] Training: 70%|██████▉ | 48941/70000 [17:19:07<7:25:10, 1.27s/step] Training: 70%|██████▉ | 48942/70000 [17:19:08<7:18:41, 1.25s/step] Training: 70%|██████▉ | 48943/70000 [17:19:10<7:27:22, 1.27s/step] Training: 70%|██████▉ | 48944/70000 [17:19:11<7:45:39, 1.33s/step] Training: 70%|██████▉ | 48945/70000 [17:19:12<7:30:50, 1.28s/step] Training: 70%|██████▉ | 48946/70000 [17:19:14<7:35:49, 1.30s/step] Training: 70%|██████▉ | 48947/70000 [17:19:15<7:24:12, 1.27s/step] Training: 70%|██████▉ | 48948/70000 [17:19:16<7:20:15, 1.25s/step] Training: 70%|██████▉ | 48949/70000 [17:19:18<7:29:51, 1.28s/step] Training: 70%|██████▉ | 48950/70000 [17:19:19<7:35:55, 1.30s/step] Training: 70%|██████▉ | 48951/70000 [17:19:20<7:27:47, 1.28s/step] Training: 70%|██████▉ | 48952/70000 [17:19:21<7:34:11, 1.29s/step] Training: 70%|██████▉ | 48953/70000 [17:19:23<7:22:49, 1.26s/step] Training: 70%|██████▉ | 48954/70000 [17:19:24<7:29:55, 1.28s/step] Training: 70%|██████▉ | 48955/70000 [17:19:25<7:19:47, 1.25s/step] Training: 70%|██████▉ | 48956/70000 [17:19:26<7:15:41, 1.24s/step] Training: 70%|██████▉ | 48957/70000 [17:19:28<7:26:26, 1.27s/step] Training: 70%|██████▉ | 48958/70000 [17:19:29<7:32:31, 1.29s/step] Training: 70%|██████▉ | 48959/70000 [17:19:30<7:23:21, 1.26s/step] Training: 70%|██████▉ | 48960/70000 [17:19:32<7:35:52, 1.30s/step] Training: 70%|██████▉ | 48961/70000 [17:19:33<7:24:12, 1.27s/step] Training: 70%|██████▉ | 48962/70000 [17:19:34<7:18:20, 1.25s/step] Training: 70%|██████▉ | 48963/70000 [17:19:35<7:12:37, 1.23s/step] Training: 70%|██████▉ | 48964/70000 [17:19:37<7:21:46, 1.26s/step] Training: 70%|██████▉ | 48965/70000 [17:19:38<7:18:45, 1.25s/step] Training: 70%|██████▉ | 48966/70000 [17:19:39<7:16:24, 1.24s/step] Training: 70%|██████▉ | 48967/70000 [17:19:40<7:24:11, 1.27s/step] Training: 70%|██████▉ | 48968/70000 [17:19:42<7:31:19, 1.29s/step] Training: 70%|██████▉ | 48969/70000 [17:19:43<7:21:31, 1.26s/step] Training: 70%|██████▉ | 48970/70000 [17:19:44<7:28:56, 1.28s/step] Training: 70%|██████▉ | 48971/70000 [17:19:45<7:19:38, 1.25s/step] Training: 70%|██████▉ | 48972/70000 [17:19:47<7:27:07, 1.28s/step] Training: 70%|██████▉ | 48973/70000 [17:19:48<7:19:25, 1.25s/step] Training: 70%|██████▉ | 48974/70000 [17:19:49<7:15:55, 1.24s/step] Training: 70%|██████▉ | 48975/70000 [17:19:50<7:24:38, 1.27s/step] Training: 70%|██████▉ | 48976/70000 [17:19:52<7:31:07, 1.29s/step] Training: 70%|██████▉ | 48977/70000 [17:19:53<7:35:42, 1.30s/step] Training: 70%|██████▉ | 48978/70000 [17:19:54<7:38:00, 1.31s/step] Training: 70%|██████▉ | 48979/70000 [17:19:56<7:25:32, 1.27s/step] Training: 70%|██████▉ | 48980/70000 [17:19:57<7:21:33, 1.26s/step] Training: 70%|██████▉ | 48981/70000 [17:19:58<7:28:32, 1.28s/step] Training: 70%|██████▉ | 48982/70000 [17:19:59<7:33:49, 1.30s/step] Training: 70%|██████▉ | 48983/70000 [17:20:01<7:27:11, 1.28s/step] Training: 70%|██████▉ | 48984/70000 [17:20:02<7:33:54, 1.30s/step] Training: 70%|██████▉ | 48985/70000 [17:20:03<7:35:15, 1.30s/step] Training: 70%|██████▉ | 48986/70000 [17:20:05<7:38:46, 1.31s/step] Training: 70%|██████▉ | 48987/70000 [17:20:06<7:25:57, 1.27s/step] Training: 70%|██████▉ | 48988/70000 [17:20:07<7:19:36, 1.26s/step] Training: 70%|██████▉ | 48989/70000 [17:20:08<7:26:55, 1.28s/step] Training: 70%|██████▉ | 48990/70000 [17:20:10<7:32:11, 1.29s/step] Training: 70%|██████▉ | 48991/70000 [17:20:11<7:24:45, 1.27s/step] Training: 70%|██████▉ | 48992/70000 [17:20:12<7:35:12, 1.30s/step] Training: 70%|██████▉ | 48993/70000 [17:20:14<7:40:52, 1.32s/step] Training: 70%|██████▉ | 48994/70000 [17:20:15<7:28:12, 1.28s/step] Training: 70%|██████▉ | 48995/70000 [17:20:16<7:18:54, 1.25s/step] Training: 70%|██████▉ | 48996/70000 [17:20:17<7:27:01, 1.28s/step] Training: 70%|██████▉ | 48997/70000 [17:20:19<7:21:42, 1.26s/step] Training: 70%|██████▉ | 48998/70000 [17:20:20<7:19:28, 1.26s/step] Training: 70%|██████▉ | 48999/70000 [17:20:21<7:26:13, 1.27s/step] Training: 70%|███████ | 49000/70000 [17:20:23<7:31:20, 1.29s/step]INFO 2026-03-13 13:30:15 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.53 loss:0.008 grdn:0.845 lr:6.0e-06 updt_s:1.254 data_s:0.019 Training: 70%|███████ | 49001/70000 [17:20:24<7:39:29, 1.31s/step] Training: 70%|███████ | 49002/70000 [17:20:25<7:40:26, 1.32s/step] Training: 70%|███████ | 49003/70000 [17:20:26<7:27:54, 1.28s/step] Training: 70%|███████ | 49004/70000 [17:20:28<7:32:03, 1.29s/step] Training: 70%|███████ | 49005/70000 [17:20:29<7:23:48, 1.27s/step] Training: 70%|███████ | 49006/70000 [17:20:30<7:18:14, 1.25s/step] Training: 70%|███████ | 49007/70000 [17:20:32<7:26:50, 1.28s/step] Training: 70%|███████ | 49008/70000 [17:20:33<7:32:38, 1.29s/step] Training: 70%|███████ | 49009/70000 [17:20:34<7:39:29, 1.31s/step] Training: 70%|███████ | 49010/70000 [17:20:36<7:39:11, 1.31s/step] Training: 70%|███████ | 49011/70000 [17:20:37<7:26:13, 1.28s/step] Training: 70%|███████ | 49012/70000 [17:20:38<7:21:30, 1.26s/step] Training: 70%|███████ | 49013/70000 [17:20:39<7:27:48, 1.28s/step] Training: 70%|███████ | 49014/70000 [17:20:41<7:32:58, 1.30s/step] Training: 70%|███████ | 49015/70000 [17:20:42<7:27:29, 1.28s/step] Training: 70%|███████ | 49016/70000 [17:20:43<7:33:01, 1.30s/step] Training: 70%|███████ | 49017/70000 [17:20:44<7:21:49, 1.26s/step] Training: 70%|███████ | 49018/70000 [17:20:46<7:39:08, 1.31s/step] Training: 70%|███████ | 49019/70000 [17:20:47<7:26:06, 1.28s/step] Training: 70%|███████ | 49020/70000 [17:20:48<7:19:03, 1.26s/step] Training: 70%|███████ | 49021/70000 [17:20:49<7:26:05, 1.28s/step] Training: 70%|███████ | 49022/70000 [17:20:51<7:32:23, 1.29s/step] Training: 70%|███████ | 49023/70000 [17:20:52<7:25:59, 1.28s/step] Training: 70%|███████ | 49024/70000 [17:20:53<7:35:45, 1.30s/step] Training: 70%|███████ | 49025/70000 [17:20:55<7:23:44, 1.27s/step] Training: 70%|███████ | 49026/70000 [17:20:56<7:31:55, 1.29s/step] Training: 70%|███████ | 49027/70000 [17:20:57<7:19:56, 1.26s/step] Training: 70%|███████ | 49028/70000 [17:20:58<7:26:57, 1.28s/step] Training: 70%|███████ | 49029/70000 [17:21:00<7:21:29, 1.26s/step] Training: 70%|███████ | 49030/70000 [17:21:01<7:19:58, 1.26s/step] Training: 70%|███████ | 49031/70000 [17:21:02<7:13:01, 1.24s/step] Training: 70%|███████ | 49032/70000 [17:21:04<7:32:14, 1.29s/step] Training: 70%|███████ | 49033/70000 [17:21:05<7:21:53, 1.26s/step] Training: 70%|███████ | 49034/70000 [17:21:06<7:34:20, 1.30s/step] Training: 70%|███████ | 49035/70000 [17:21:07<7:22:49, 1.27s/step] Training: 70%|███████ | 49036/70000 [17:21:09<7:28:54, 1.28s/step] Training: 70%|███████ | 49037/70000 [17:21:10<7:22:14, 1.27s/step] Training: 70%|███████ | 49038/70000 [17:21:11<7:16:54, 1.25s/step] Training: 70%|███████ | 49039/70000 [17:21:12<7:25:40, 1.28s/step] Training: 70%|███████ | 49040/70000 [17:21:14<7:31:05, 1.29s/step] Training: 70%|███████ | 49041/70000 [17:21:15<7:20:12, 1.26s/step] Training: 70%|███████ | 49042/70000 [17:21:16<7:27:10, 1.28s/step] Training: 70%|███████ | 49043/70000 [17:21:17<7:18:05, 1.25s/step] Training: 70%|███████ | 49044/70000 [17:21:19<7:15:24, 1.25s/step] Training: 70%|███████ | 49045/70000 [17:21:20<7:23:23, 1.27s/step] Training: 70%|███████ | 49046/70000 [17:21:21<7:28:55, 1.29s/step] Training: 70%|███████ | 49047/70000 [17:21:23<7:20:24, 1.26s/step] Training: 70%|███████ | 49048/70000 [17:21:24<7:28:02, 1.28s/step] Training: 70%|███████ | 49049/70000 [17:21:25<7:18:16, 1.26s/step] Training: 70%|███████ | 49050/70000 [17:21:26<7:25:38, 1.28s/step] Training: 70%|███████ | 49051/70000 [17:21:28<7:35:51, 1.31s/step] Training: 70%|███████ | 49052/70000 [17:21:29<7:24:50, 1.27s/step] Training: 70%|███████ | 49053/70000 [17:21:30<7:30:20, 1.29s/step] Training: 70%|███████ | 49054/70000 [17:21:32<7:34:03, 1.30s/step] Training: 70%|███████ | 49055/70000 [17:21:33<7:26:21, 1.28s/step] Training: 70%|███████ | 49056/70000 [17:21:34<7:36:14, 1.31s/step] Training: 70%|███████ | 49057/70000 [17:21:35<7:23:52, 1.27s/step] Training: 70%|███████ | 49058/70000 [17:21:37<7:17:39, 1.25s/step] Training: 70%|███████ | 49059/70000 [17:21:38<7:20:25, 1.26s/step] Training: 70%|███████ | 49060/70000 [17:21:39<7:27:34, 1.28s/step] Training: 70%|███████ | 49061/70000 [17:21:40<7:21:30, 1.27s/step] Training: 70%|███████ | 49062/70000 [17:21:42<7:17:28, 1.25s/step] Training: 70%|███████ | 49063/70000 [17:21:43<7:10:49, 1.23s/step] Training: 70%|███████ | 49064/70000 [17:21:44<7:18:14, 1.26s/step] Training: 70%|███████ | 49065/70000 [17:21:45<7:11:23, 1.24s/step] Training: 70%|███████ | 49066/70000 [17:21:47<7:22:14, 1.27s/step] Training: 70%|███████ | 49067/70000 [17:21:48<7:31:09, 1.29s/step] Training: 70%|███████ | 49068/70000 [17:21:49<7:32:41, 1.30s/step] Training: 70%|███████ | 49069/70000 [17:21:51<7:23:31, 1.27s/step] Training: 70%|███████ | 49070/70000 [17:21:52<7:17:03, 1.25s/step] Training: 70%|███████ | 49071/70000 [17:21:53<7:25:33, 1.28s/step] Training: 70%|███████ | 49072/70000 [17:21:54<7:30:27, 1.29s/step] Training: 70%|███████ | 49073/70000 [17:21:56<7:19:37, 1.26s/step] Training: 70%|███████ | 49074/70000 [17:21:57<7:26:25, 1.28s/step] Training: 70%|███████ | 49075/70000 [17:21:58<7:34:55, 1.30s/step] Training: 70%|███████ | 49076/70000 [17:22:00<7:25:31, 1.28s/step] Training: 70%|███████ | 49077/70000 [17:22:01<7:30:09, 1.29s/step] Training: 70%|███████ | 49078/70000 [17:22:02<7:35:06, 1.31s/step] Training: 70%|███████ | 49079/70000 [17:22:03<7:24:46, 1.28s/step] Training: 70%|███████ | 49080/70000 [17:22:05<7:30:14, 1.29s/step] Training: 70%|███████ | 49081/70000 [17:22:06<7:19:46, 1.26s/step] Training: 70%|███████ | 49082/70000 [17:22:07<7:27:04, 1.28s/step] Training: 70%|███████ | 49083/70000 [17:22:08<7:17:23, 1.25s/step] Training: 70%|███████ | 49084/70000 [17:22:10<7:28:55, 1.29s/step] Training: 70%|███████ | 49085/70000 [17:22:11<7:31:32, 1.30s/step] Training: 70%|███████ | 49086/70000 [17:22:12<7:34:54, 1.31s/step] Training: 70%|███████ | 49087/70000 [17:22:14<7:27:18, 1.28s/step] Training: 70%|███████ | 49088/70000 [17:22:15<7:36:07, 1.31s/step] Training: 70%|███████ | 49089/70000 [17:22:16<7:23:28, 1.27s/step] Training: 70%|███████ | 49090/70000 [17:22:17<7:16:39, 1.25s/step] Training: 70%|███████ | 49091/70000 [17:22:19<7:09:51, 1.23s/step] Training: 70%|███████ | 49092/70000 [17:22:20<7:34:17, 1.30s/step] Training: 70%|███████ | 49093/70000 [17:22:21<7:26:24, 1.28s/step] Training: 70%|███████ | 49094/70000 [17:22:23<7:22:10, 1.27s/step] Training: 70%|███████ | 49095/70000 [17:22:24<7:13:36, 1.24s/step] Training: 70%|███████ | 49096/70000 [17:22:25<7:20:10, 1.26s/step] Training: 70%|███████ | 49097/70000 [17:22:26<7:13:29, 1.24s/step] Training: 70%|███████ | 49098/70000 [17:22:28<7:21:37, 1.27s/step] Training: 70%|███████ | 49099/70000 [17:22:29<7:13:37, 1.24s/step] Training: 70%|███████ | 49100/70000 [17:22:30<7:33:12, 1.30s/step]INFO 2026-03-13 13:32:22 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.62 loss:0.008 grdn:0.850 lr:5.9e-06 updt_s:1.256 data_s:0.019 Training: 70%|███████ | 49101/70000 [17:22:31<7:23:08, 1.27s/step] Training: 70%|███████ | 49102/70000 [17:22:33<7:16:47, 1.25s/step] Training: 70%|███████ | 49103/70000 [17:22:34<7:10:06, 1.23s/step] Training: 70%|███████ | 49104/70000 [17:22:35<7:19:41, 1.26s/step] Training: 70%|███████ | 49105/70000 [17:22:36<7:12:06, 1.24s/step] Training: 70%|███████ | 49106/70000 [17:22:38<7:21:33, 1.27s/step] Training: 70%|███████ | 49107/70000 [17:22:39<7:13:18, 1.24s/step] Training: 70%|███████ | 49108/70000 [17:22:40<7:26:31, 1.28s/step] Training: 70%|███████ | 49109/70000 [17:22:42<7:30:16, 1.29s/step] Training: 70%|███████ | 49110/70000 [17:22:43<7:35:49, 1.31s/step] Training: 70%|███████ | 49111/70000 [17:22:44<7:35:52, 1.31s/step] Training: 70%|███████ | 49112/70000 [17:22:46<7:38:07, 1.32s/step] Training: 70%|███████ | 49113/70000 [17:22:47<7:24:59, 1.28s/step] Training: 70%|███████ | 49114/70000 [17:22:48<7:30:05, 1.29s/step] Training: 70%|███████ | 49115/70000 [17:22:49<7:19:15, 1.26s/step] Training: 70%|███████ | 49116/70000 [17:22:50<7:17:01, 1.26s/step] Training: 70%|███████ | 49117/70000 [17:22:52<7:24:47, 1.28s/step] Training: 70%|███████ | 49118/70000 [17:22:53<7:29:30, 1.29s/step] Training: 70%|███████ | 49119/70000 [17:22:54<7:33:10, 1.30s/step] Training: 70%|███████ | 49120/70000 [17:22:56<7:39:54, 1.32s/step] Training: 70%|███████ | 49121/70000 [17:22:57<7:26:14, 1.28s/step] Training: 70%|███████ | 49122/70000 [17:22:58<7:18:38, 1.26s/step] Training: 70%|███████ | 49123/70000 [17:22:59<7:11:44, 1.24s/step] Training: 70%|███████ | 49124/70000 [17:23:01<7:05:46, 1.22s/step] Training: 70%|███████ | 49125/70000 [17:23:02<7:19:08, 1.26s/step] Training: 70%|███████ | 49126/70000 [17:23:03<7:25:06, 1.28s/step] Training: 70%|███████ | 49127/70000 [17:23:05<7:19:51, 1.26s/step] Training: 70%|███████ | 49128/70000 [17:23:06<7:18:07, 1.26s/step] Training: 70%|███████ | 49129/70000 [17:23:07<7:11:02, 1.24s/step] Training: 70%|███████ | 49130/70000 [17:23:08<7:21:01, 1.27s/step] Training: 70%|███████ | 49131/70000 [17:23:09<7:12:57, 1.24s/step] Training: 70%|███████ | 49132/70000 [17:23:11<7:07:14, 1.23s/step] Training: 70%|███████ | 49133/70000 [17:23:12<7:15:21, 1.25s/step] Training: 70%|███████ | 49134/70000 [17:23:13<7:10:31, 1.24s/step] Training: 70%|███████ | 49135/70000 [17:23:15<7:20:47, 1.27s/step] Training: 70%|███████ | 49136/70000 [17:23:16<7:26:34, 1.28s/step] Training: 70%|███████ | 49137/70000 [17:23:17<7:16:34, 1.26s/step] Training: 70%|███████ | 49138/70000 [17:23:18<7:24:04, 1.28s/step] Training: 70%|███████ | 49139/70000 [17:23:20<7:15:24, 1.25s/step] Training: 70%|███████ | 49140/70000 [17:23:21<7:13:02, 1.25s/step] Training: 70%|███████ | 49141/70000 [17:23:22<7:24:27, 1.28s/step] Training: 70%|███████ | 49142/70000 [17:23:23<7:28:07, 1.29s/step] Training: 70%|███████ | 49143/70000 [17:23:25<7:32:22, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=19888 Training: 70%|███████ | 49144/70000 [17:23:26<7:36:08, 1.31s/step] Training: 70%|███████ | 49145/70000 [17:23:27<7:23:13, 1.28s/step] Training: 70%|███████ | 49146/70000 [17:23:29<7:28:45, 1.29s/step] Training: 70%|███████ | 49147/70000 [17:23:30<7:19:10, 1.26s/step] Training: 70%|███████ | 49148/70000 [17:23:31<7:12:38, 1.24s/step] Training: 70%|███████ | 49149/70000 [17:23:32<7:21:23, 1.27s/step] Training: 70%|███████ | 49150/70000 [17:23:34<7:41:16, 1.33s/step] Training: 70%|███████ | 49151/70000 [17:23:35<7:41:29, 1.33s/step] Training: 70%|███████ | 49152/70000 [17:23:37<7:44:58, 1.34s/step] Training: 70%|███████ | 49153/70000 [17:23:38<7:29:27, 1.29s/step] Training: 70%|███████ | 49154/70000 [17:23:39<7:19:44, 1.27s/step] Training: 70%|███████ | 49155/70000 [17:23:40<7:11:45, 1.24s/step] Training: 70%|███████ | 49156/70000 [17:23:41<7:21:03, 1.27s/step] Training: 70%|███████ | 49157/70000 [17:23:43<7:16:28, 1.26s/step] Training: 70%|███████ | 49158/70000 [17:23:44<7:26:04, 1.28s/step] Training: 70%|███████ | 49159/70000 [17:23:45<7:17:10, 1.26s/step] Training: 70%|███████ | 49160/70000 [17:23:46<7:16:12, 1.26s/step] Training: 70%|███████ | 49161/70000 [17:23:48<7:09:35, 1.24s/step] Training: 70%|███████ | 49162/70000 [17:23:49<7:18:37, 1.26s/step] Training: 70%|███████ | 49163/70000 [17:23:50<7:10:54, 1.24s/step] Training: 70%|███████ | 49164/70000 [17:23:51<7:19:55, 1.27s/step] Training: 70%|███████ | 49165/70000 [17:23:53<7:12:47, 1.25s/step] Training: 70%|███████ | 49166/70000 [17:23:54<7:08:48, 1.23s/step] Training: 70%|███████ | 49167/70000 [17:23:55<7:19:19, 1.27s/step] Training: 70%|███████ | 49168/70000 [17:23:57<7:27:44, 1.29s/step] Training: 70%|███████ | 49169/70000 [17:23:58<7:16:59, 1.26s/step] Training: 70%|███████ | 49170/70000 [17:23:59<7:23:53, 1.28s/step] Training: 70%|███████ | 49171/70000 [17:24:00<7:14:43, 1.25s/step] Training: 70%|███████ | 49172/70000 [17:24:02<7:13:13, 1.25s/step] Training: 70%|███████ | 49173/70000 [17:24:03<7:20:42, 1.27s/step] Training: 70%|███████ | 49174/70000 [17:24:04<7:30:39, 1.30s/step] Training: 70%|███████ | 49175/70000 [17:24:06<7:33:29, 1.31s/step] Training: 70%|███████ | 49176/70000 [17:24:07<7:35:57, 1.31s/step] Training: 70%|███████ | 49177/70000 [17:24:08<7:23:04, 1.28s/step] Training: 70%|███████ | 49178/70000 [17:24:09<7:29:18, 1.29s/step] Training: 70%|███████ | 49179/70000 [17:24:11<7:18:22, 1.26s/step] Training: 70%|███████ | 49180/70000 [17:24:12<7:14:23, 1.25s/step] Training: 70%|███████ | 49181/70000 [17:24:13<7:21:33, 1.27s/step] Training: 70%|███████ | 49182/70000 [17:24:14<7:27:33, 1.29s/step] Training: 70%|███████ | 49183/70000 [17:24:16<7:31:10, 1.30s/step] Training: 70%|███████ | 49184/70000 [17:24:17<7:39:21, 1.32s/step] Training: 70%|███████ | 49185/70000 [17:24:18<7:25:16, 1.28s/step] Training: 70%|███████ | 49186/70000 [17:24:20<7:17:21, 1.26s/step] Training: 70%|███████ | 49187/70000 [17:24:21<7:09:53, 1.24s/step] Training: 70%|███████ | 49188/70000 [17:24:22<7:18:39, 1.26s/step] Training: 70%|███████ | 49189/70000 [17:24:23<7:14:45, 1.25s/step] Training: 70%|███████ | 49190/70000 [17:24:25<7:13:21, 1.25s/step] Training: 70%|███████ | 49191/70000 [17:24:26<7:23:11, 1.28s/step] Training: 70%|███████ | 49192/70000 [17:24:27<7:26:48, 1.29s/step] Training: 70%|███████ | 49193/70000 [17:24:28<7:16:30, 1.26s/step] Training: 70%|███████ | 49194/70000 [17:24:30<7:23:32, 1.28s/step] Training: 70%|███████ | 49195/70000 [17:24:31<7:14:05, 1.25s/step] Training: 70%|███████ | 49196/70000 [17:24:32<7:22:33, 1.28s/step] Training: 70%|███████ | 49197/70000 [17:24:33<7:14:11, 1.25s/step] Training: 70%|███████ | 49198/70000 [17:24:35<7:09:01, 1.24s/step] Training: 70%|███████ | 49199/70000 [17:24:36<7:25:33, 1.29s/step] Training: 70%|███████ | 49200/70000 [17:24:37<7:30:33, 1.30s/step]INFO 2026-03-13 13:34:29 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.70 loss:0.009 grdn:1.115 lr:5.9e-06 updt_s:1.250 data_s:0.019 Training: 70%|███████ | 49201/70000 [17:24:39<7:18:51, 1.27s/step] Training: 70%|███████ | 49202/70000 [17:24:40<7:24:55, 1.28s/step] Training: 70%|███████ | 49203/70000 [17:24:41<7:15:01, 1.26s/step] Training: 70%|███████ | 49204/70000 [17:24:42<7:13:12, 1.25s/step] Training: 70%|███████ | 49205/70000 [17:24:44<7:21:18, 1.27s/step] Training: 70%|███████ | 49206/70000 [17:24:45<7:27:52, 1.29s/step] Training: 70%|███████ | 49207/70000 [17:24:46<7:31:34, 1.30s/step] Training: 70%|███████ | 49208/70000 [17:24:48<7:47:27, 1.35s/step] Training: 70%|███████ | 49209/70000 [17:24:49<7:30:50, 1.30s/step] Training: 70%|███████ | 49210/70000 [17:24:50<7:33:04, 1.31s/step] Training: 70%|███████ | 49211/70000 [17:24:51<7:20:49, 1.27s/step] Training: 70%|███████ | 49212/70000 [17:24:53<7:14:33, 1.25s/step] Training: 70%|███████ | 49213/70000 [17:24:54<7:22:17, 1.28s/step] Training: 70%|███████ | 49214/70000 [17:24:55<7:28:46, 1.30s/step] Training: 70%|███████ | 49215/70000 [17:24:57<7:36:16, 1.32s/step] Training: 70%|███████ | 49216/70000 [17:24:58<7:40:11, 1.33s/step] Training: 70%|███████ | 49217/70000 [17:24:59<7:25:41, 1.29s/step] Training: 70%|███████ | 49218/70000 [17:25:00<7:17:47, 1.26s/step] Training: 70%|███████ | 49219/70000 [17:25:02<7:09:42, 1.24s/step] Training: 70%|███████ | 49220/70000 [17:25:03<7:18:40, 1.27s/step] Training: 70%|███████ | 49221/70000 [17:25:04<7:13:22, 1.25s/step] Training: 70%|███████ | 49222/70000 [17:25:05<7:11:59, 1.25s/step] Training: 70%|███████ | 49223/70000 [17:25:07<7:06:54, 1.23s/step] Training: 70%|███████ | 49224/70000 [17:25:08<7:28:33, 1.30s/step] Training: 70%|███████ | 49225/70000 [17:25:09<7:17:16, 1.26s/step] Training: 70%|███████ | 49226/70000 [17:25:11<7:23:33, 1.28s/step] Training: 70%|███████ | 49227/70000 [17:25:12<7:13:51, 1.25s/step] Training: 70%|███████ | 49228/70000 [17:25:13<7:22:19, 1.28s/step] Training: 70%|███████ | 49229/70000 [17:25:14<7:14:26, 1.25s/step] Training: 70%|███████ | 49230/70000 [17:25:16<7:10:39, 1.24s/step] Training: 70%|███████ | 49231/70000 [17:25:17<7:19:19, 1.27s/step] Training: 70%|███████ | 49232/70000 [17:25:18<7:37:39, 1.32s/step] Training: 70%|███████ | 49233/70000 [17:25:19<7:24:14, 1.28s/step] Training: 70%|███████ | 49234/70000 [17:25:21<7:29:16, 1.30s/step] Training: 70%|███████ | 49235/70000 [17:25:22<7:17:57, 1.27s/step] Training: 70%|███████ | 49236/70000 [17:25:23<7:13:42, 1.25s/step] Training: 70%|███████ | 49237/70000 [17:25:25<7:22:05, 1.28s/step] Training: 70%|███████ | 49238/70000 [17:25:26<7:27:37, 1.29s/step] Training: 70%|███████ | 49239/70000 [17:25:27<7:31:12, 1.30s/step] Training: 70%|███████ | 49240/70000 [17:25:29<7:35:04, 1.32s/step] Training: 70%|███████ | 49241/70000 [17:25:30<7:22:10, 1.28s/step] Training: 70%|███████ | 49242/70000 [17:25:31<7:16:21, 1.26s/step] Training: 70%|███████ | 49243/70000 [17:25:32<7:08:51, 1.24s/step] Training: 70%|███████ | 49244/70000 [17:25:33<7:05:38, 1.23s/step] Training: 70%|███████ | 49245/70000 [17:25:35<7:15:34, 1.26s/step] Training: 70%|███████ | 49246/70000 [17:25:36<7:22:44, 1.28s/step] Training: 70%|███████ | 49247/70000 [17:25:37<7:27:54, 1.29s/step] Training: 70%|███████ | 49248/70000 [17:25:39<7:38:40, 1.33s/step] Training: 70%|███████ | 49249/70000 [17:25:40<7:24:24, 1.28s/step] Training: 70%|███████ | 49250/70000 [17:25:41<7:17:22, 1.26s/step] Training: 70%|███████ | 49251/70000 [17:25:42<7:10:13, 1.24s/step] Training: 70%|███████ | 49252/70000 [17:25:44<7:04:10, 1.23s/step] Training: 70%|███████ | 49253/70000 [17:25:45<7:13:40, 1.25s/step] Training: 70%|███████ | 49254/70000 [17:25:46<7:08:57, 1.24s/step] Training: 70%|███████ | 49255/70000 [17:25:47<7:05:18, 1.23s/step] Training: 70%|███████ | 49256/70000 [17:25:49<7:15:46, 1.26s/step] Training: 70%|███████ | 49257/70000 [17:25:50<7:08:24, 1.24s/step] Training: 70%|███████ | 49258/70000 [17:25:51<7:19:29, 1.27s/step] Training: 70%|███████ | 49259/70000 [17:25:52<7:10:50, 1.25s/step] Training: 70%|███████ | 49260/70000 [17:25:54<7:04:36, 1.23s/step] Training: 70%|███████ | 49261/70000 [17:25:55<7:09:19, 1.24s/step] Training: 70%|███████ | 49262/70000 [17:25:56<7:07:44, 1.24s/step] Training: 70%|███████ | 49263/70000 [17:25:57<7:17:09, 1.26s/step] Training: 70%|███████ | 49264/70000 [17:25:59<7:11:32, 1.25s/step] Training: 70%|███████ | 49265/70000 [17:26:00<7:21:04, 1.28s/step] Training: 70%|███████ | 49266/70000 [17:26:01<7:26:33, 1.29s/step] Training: 70%|███████ | 49267/70000 [17:26:02<7:15:54, 1.26s/step] Training: 70%|███████ | 49268/70000 [17:26:04<7:08:38, 1.24s/step] Training: 70%|███████ | 49269/70000 [17:26:05<7:18:02, 1.27s/step] Training: 70%|███████ | 49270/70000 [17:26:06<7:09:43, 1.24s/step] Training: 70%|███████ | 49271/70000 [17:26:08<7:33:35, 1.31s/step] Training: 70%|███████ | 49272/70000 [17:26:09<7:35:06, 1.32s/step] Training: 70%|███████ | 49273/70000 [17:26:10<7:32:07, 1.31s/step] Training: 70%|███████ | 49274/70000 [17:26:11<7:22:34, 1.28s/step] Training: 70%|███████ | 49275/70000 [17:26:13<7:12:56, 1.25s/step] Training: 70%|███████ | 49276/70000 [17:26:14<7:06:22, 1.23s/step] Training: 70%|███████ | 49277/70000 [17:26:15<7:16:34, 1.26s/step] Training: 70%|███████ | 49278/70000 [17:26:16<7:08:55, 1.24s/step] Training: 70%|███████ | 49279/70000 [17:26:18<7:18:04, 1.27s/step] Training: 70%|███████ | 49280/70000 [17:26:19<7:23:51, 1.29s/step] Training: 70%|███████ | 49281/70000 [17:26:20<7:31:13, 1.31s/step] Training: 70%|███████ | 49282/70000 [17:26:22<7:22:25, 1.28s/step] Training: 70%|███████ | 49283/70000 [17:26:23<7:13:11, 1.25s/step] Training: 70%|███████ | 49284/70000 [17:26:24<7:06:09, 1.23s/step] Training: 70%|███████ | 49285/70000 [17:26:25<7:18:33, 1.27s/step] Training: 70%|███████ | 49286/70000 [17:26:27<7:14:36, 1.26s/step] Training: 70%|███████ | 49287/70000 [17:26:28<7:10:04, 1.25s/step] Training: 70%|███████ | 49288/70000 [17:26:29<7:18:30, 1.27s/step] Training: 70%|███████ | 49289/70000 [17:26:30<7:26:56, 1.29s/step] Training: 70%|███████ | 49290/70000 [17:26:32<7:14:45, 1.26s/step] Training: 70%|███████ | 49291/70000 [17:26:33<7:20:20, 1.28s/step] Training: 70%|███████ | 49292/70000 [17:26:34<7:12:13, 1.25s/step] Training: 70%|███████ | 49293/70000 [17:26:35<7:19:47, 1.27s/step] Training: 70%|███████ | 49294/70000 [17:26:37<7:13:50, 1.26s/step] Training: 70%|███████ | 49295/70000 [17:26:38<7:20:59, 1.28s/step] Training: 70%|███████ | 49296/70000 [17:26:39<7:14:43, 1.26s/step] Training: 70%|███████ | 49297/70000 [17:26:41<7:21:47, 1.28s/step] Training: 70%|███████ | 49298/70000 [17:26:42<7:28:19, 1.30s/step] Training: 70%|███████ | 49299/70000 [17:26:43<7:16:08, 1.26s/step] Training: 70%|███████ | 49300/70000 [17:26:44<7:08:15, 1.24s/step]INFO 2026-03-13 13:36:36 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.79 loss:0.008 grdn:0.884 lr:5.8e-06 updt_s:1.247 data_s:0.019 Training: 70%|███████ | 49301/70000 [17:26:46<7:16:39, 1.27s/step] Training: 70%|███████ | 49302/70000 [17:26:47<7:24:16, 1.29s/step] Training: 70%|███████ | 49303/70000 [17:26:48<7:28:22, 1.30s/step] Training: 70%|███████ | 49304/70000 [17:26:50<7:32:10, 1.31s/step] Training: 70%|███████ | 49305/70000 [17:26:51<7:33:41, 1.32s/step] Training: 70%|███████ | 49306/70000 [17:26:52<7:35:52, 1.32s/step] Training: 70%|███████ | 49307/70000 [17:26:53<7:21:22, 1.28s/step] Training: 70%|███████ | 49308/70000 [17:26:55<7:12:07, 1.25s/step] Training: 70%|███████ | 49309/70000 [17:26:56<7:21:15, 1.28s/step] Training: 70%|███████ | 49310/70000 [17:26:57<7:27:03, 1.30s/step] Training: 70%|███████ | 49311/70000 [17:26:59<7:30:28, 1.31s/step] Training: 70%|███████ | 49312/70000 [17:27:00<7:32:54, 1.31s/step] Training: 70%|███████ | 49313/70000 [17:27:01<7:21:48, 1.28s/step] Training: 70%|███████ | 49314/70000 [17:27:02<7:25:37, 1.29s/step] Training: 70%|███████ | 49315/70000 [17:27:04<7:14:02, 1.26s/step] Training: 70%|███████ | 49316/70000 [17:27:05<7:06:35, 1.24s/step] Training: 70%|███████ | 49317/70000 [17:27:06<7:19:51, 1.28s/step] Training: 70%|███████ | 49318/70000 [17:27:07<7:15:57, 1.26s/step] Training: 70%|███████ | 49319/70000 [17:27:09<7:10:05, 1.25s/step] Training: 70%|███████ | 49320/70000 [17:27:10<7:20:29, 1.28s/step] Training: 70%|███████ | 49321/70000 [17:27:11<7:25:16, 1.29s/step] Training: 70%|███████ | 49322/70000 [17:27:13<7:32:18, 1.31s/step] Training: 70%|███████ | 49323/70000 [17:27:14<7:30:39, 1.31s/step] Training: 70%|███████ | 49324/70000 [17:27:15<7:18:20, 1.27s/step] Training: 70%|███████ | 49325/70000 [17:27:16<7:16:26, 1.27s/step] Training: 70%|███████ | 49326/70000 [17:27:18<7:10:57, 1.25s/step] Training: 70%|███████ | 49327/70000 [17:27:19<7:19:00, 1.27s/step] Training: 70%|███████ | 49328/70000 [17:27:20<7:11:06, 1.25s/step] Training: 70%|███████ | 49329/70000 [17:27:21<7:04:44, 1.23s/step] Training: 70%|███████ | 49330/70000 [17:27:23<7:15:42, 1.26s/step] Training: 70%|███████ | 49331/70000 [17:27:24<7:12:49, 1.26s/step] Training: 70%|███████ | 49332/70000 [17:27:25<7:05:49, 1.24s/step] Training: 70%|███████ | 49333/70000 [17:27:26<7:14:39, 1.26s/step] Training: 70%|███████ | 49334/70000 [17:27:28<7:20:52, 1.28s/step] Training: 70%|███████ | 49335/70000 [17:27:29<7:26:15, 1.30s/step] Training: 70%|███████ | 49336/70000 [17:27:30<7:28:58, 1.30s/step] Training: 70%|███████ | 49337/70000 [17:27:32<7:17:16, 1.27s/step] Training: 70%|███████ | 49338/70000 [17:27:33<7:21:41, 1.28s/step] Training: 70%|███████ | 49339/70000 [17:27:34<7:27:41, 1.30s/step] Training: 70%|███████ | 49340/70000 [17:27:35<7:15:30, 1.26s/step] Training: 70%|███████ | 49341/70000 [17:27:37<7:24:26, 1.29s/step] Training: 70%|███████ | 49342/70000 [17:27:38<7:28:42, 1.30s/step] Training: 70%|███████ | 49343/70000 [17:27:39<7:31:19, 1.31s/step] Training: 70%|███████ | 49344/70000 [17:27:41<7:18:42, 1.27s/step] Training: 70%|███████ | 49345/70000 [17:27:42<7:24:12, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=67003 Training: 70%|███████ | 49346/70000 [17:27:43<7:13:38, 1.26s/step] Training: 70%|███████ | 49347/70000 [17:27:45<7:29:00, 1.30s/step] Training: 70%|███████ | 49348/70000 [17:27:46<7:17:15, 1.27s/step] Training: 70%|███████ | 49349/70000 [17:27:47<7:27:49, 1.30s/step] Training: 70%|███████ | 49350/70000 [17:27:48<7:21:16, 1.28s/step] Training: 71%|███████ | 49351/70000 [17:27:50<7:14:22, 1.26s/step] Training: 71%|███████ | 49352/70000 [17:27:51<7:06:59, 1.24s/step] Training: 71%|███████ | 49353/70000 [17:27:52<7:15:40, 1.27s/step] Training: 71%|███████ | 49354/70000 [17:27:53<7:09:17, 1.25s/step] Training: 71%|███████ | 49355/70000 [17:27:55<7:23:07, 1.29s/step] Training: 71%|███████ | 49356/70000 [17:27:56<7:12:36, 1.26s/step] Training: 71%|███████ | 49357/70000 [17:27:57<7:09:27, 1.25s/step] Training: 71%|███████ | 49358/70000 [17:27:58<7:05:50, 1.24s/step] Training: 71%|███████ | 49359/70000 [17:28:00<7:16:28, 1.27s/step] Training: 71%|███████ | 49360/70000 [17:28:01<7:08:48, 1.25s/step] Training: 71%|███████ | 49361/70000 [17:28:02<7:03:11, 1.23s/step] Training: 71%|███████ | 49362/70000 [17:28:03<7:02:23, 1.23s/step] Training: 71%|███████ | 49363/70000 [17:28:05<7:12:27, 1.26s/step] Training: 71%|███████ | 49364/70000 [17:28:06<7:21:16, 1.28s/step] Training: 71%|███████ | 49365/70000 [17:28:07<7:25:36, 1.30s/step] Training: 71%|███████ | 49366/70000 [17:28:08<7:14:36, 1.26s/step] Training: 71%|███████ | 49367/70000 [17:28:10<7:33:27, 1.32s/step] Training: 71%|███████ | 49368/70000 [17:28:11<7:19:41, 1.28s/step] Training: 71%|███████ | 49369/70000 [17:28:12<7:12:03, 1.26s/step] Training: 71%|███████ | 49370/70000 [17:28:13<7:04:53, 1.24s/step] Training: 71%|███████ | 49371/70000 [17:28:15<7:16:46, 1.27s/step] Training: 71%|███████ | 49372/70000 [17:28:16<7:24:30, 1.29s/step] Training: 71%|███████ | 49373/70000 [17:28:17<7:27:27, 1.30s/step] Training: 71%|███████ | 49374/70000 [17:28:19<7:16:06, 1.27s/step] Training: 71%|███████ | 49375/70000 [17:28:20<7:28:39, 1.31s/step] Training: 71%|███████ | 49376/70000 [17:28:21<7:16:31, 1.27s/step] Training: 71%|███████ | 49377/70000 [17:28:23<7:13:34, 1.26s/step] Training: 71%|███████ | 49378/70000 [17:28:24<7:06:18, 1.24s/step] Training: 71%|███████ | 49379/70000 [17:28:25<7:15:54, 1.27s/step] Training: 71%|███████ | 49380/70000 [17:28:26<7:07:49, 1.24s/step] Training: 71%|███████ | 49381/70000 [17:28:28<7:22:32, 1.29s/step] Training: 71%|███████ | 49382/70000 [17:28:29<7:12:41, 1.26s/step] Training: 71%|███████ | 49383/70000 [17:28:30<7:08:25, 1.25s/step] Training: 71%|███████ | 49384/70000 [17:28:31<7:02:41, 1.23s/step] Training: 71%|███████ | 49385/70000 [17:28:32<6:58:27, 1.22s/step] Training: 71%|███████ | 49386/70000 [17:28:34<7:07:50, 1.25s/step] Training: 71%|███████ | 49387/70000 [17:28:35<7:16:58, 1.27s/step] Training: 71%|███████ | 49388/70000 [17:28:36<7:12:55, 1.26s/step] Training: 71%|███████ | 49389/70000 [17:28:38<7:10:13, 1.25s/step] Training: 71%|███████ | 49390/70000 [17:28:39<7:03:52, 1.23s/step] Training: 71%|███████ | 49391/70000 [17:28:40<7:14:27, 1.26s/step] Training: 71%|███████ | 49392/70000 [17:28:41<7:06:33, 1.24s/step] Training: 71%|███████ | 49393/70000 [17:28:42<7:01:29, 1.23s/step] Training: 71%|███████ | 49394/70000 [17:28:44<6:59:09, 1.22s/step] Training: 71%|███████ | 49395/70000 [17:28:45<7:10:16, 1.25s/step] Training: 71%|███████ | 49396/70000 [17:28:46<7:10:56, 1.25s/step] Training: 71%|███████ | 49397/70000 [17:28:48<7:17:33, 1.27s/step] Training: 71%|███████ | 49398/70000 [17:28:49<7:08:39, 1.25s/step] Training: 71%|███████ | 49399/70000 [17:28:50<7:16:59, 1.27s/step] Training: 71%|███████ | 49400/70000 [17:28:51<7:08:27, 1.25s/step]INFO 2026-03-13 13:38:43 ot_train.py:435 step:49K smpl:3M ep:11K epch:41.87 loss:0.009 grdn:0.787 lr:5.8e-06 updt_s:1.249 data_s:0.019 Training: 71%|███████ | 49401/70000 [17:28:52<7:07:03, 1.24s/step] Training: 71%|███████ | 49402/70000 [17:28:54<7:15:58, 1.27s/step] Training: 71%|███████ | 49403/70000 [17:28:55<7:09:07, 1.25s/step] Training: 71%|███████ | 49404/70000 [17:28:56<7:03:07, 1.23s/step] Training: 71%|███████ | 49405/70000 [17:28:58<7:21:40, 1.29s/step] Training: 71%|███████ | 49406/70000 [17:28:59<7:13:39, 1.26s/step] Training: 71%|███████ | 49407/70000 [17:29:00<7:20:13, 1.28s/step] Training: 71%|███████ | 49408/70000 [17:29:01<7:10:47, 1.26s/step] Training: 71%|███████ | 49409/70000 [17:29:03<7:06:02, 1.24s/step] Training: 71%|███████ | 49410/70000 [17:29:04<7:15:03, 1.27s/step] Training: 71%|███████ | 49411/70000 [17:29:05<7:20:37, 1.28s/step] Training: 71%|███████ | 49412/70000 [17:29:06<7:10:50, 1.26s/step] Training: 71%|███████ | 49413/70000 [17:29:08<7:12:27, 1.26s/step] Training: 71%|███████ | 49414/70000 [17:29:09<7:04:43, 1.24s/step] Training: 71%|███████ | 49415/70000 [17:29:10<7:03:45, 1.24s/step] Training: 71%|███████ | 49416/70000 [17:29:11<6:58:48, 1.22s/step] Training: 71%|███████ | 49417/70000 [17:29:13<7:11:01, 1.26s/step] Training: 71%|███████ | 49418/70000 [17:29:14<7:08:27, 1.25s/step] Training: 71%|███████ | 49419/70000 [17:29:15<7:16:38, 1.27s/step] Training: 71%|███████ | 49420/70000 [17:29:16<7:07:38, 1.25s/step] Training: 71%|███████ | 49421/70000 [17:29:18<7:05:34, 1.24s/step] Training: 71%|███████ | 49422/70000 [17:29:19<7:15:19, 1.27s/step] Training: 71%|███████ | 49423/70000 [17:29:20<7:20:00, 1.28s/step] Training: 71%|███████ | 49424/70000 [17:29:21<7:10:09, 1.25s/step] Training: 71%|███████ | 49425/70000 [17:29:23<7:18:11, 1.28s/step] Training: 71%|███████ | 49426/70000 [17:29:24<7:11:52, 1.26s/step] Training: 71%|███████ | 49427/70000 [17:29:25<7:19:18, 1.28s/step] Training: 71%|███████ | 49428/70000 [17:29:26<7:09:37, 1.25s/step] Training: 71%|███████ | 49429/70000 [17:29:28<7:20:00, 1.28s/step] Training: 71%|███████ | 49430/70000 [17:29:29<7:22:29, 1.29s/step] Training: 71%|███████ | 49431/70000 [17:29:30<7:25:54, 1.30s/step] Training: 71%|███████ | 49432/70000 [17:29:32<7:14:37, 1.27s/step] Training: 71%|███████ | 49433/70000 [17:29:33<7:10:15, 1.26s/step] Training: 71%|███████ | 49434/70000 [17:29:34<7:18:48, 1.28s/step] Training: 71%|███████ | 49435/70000 [17:29:35<7:11:42, 1.26s/step] Training: 71%|███████ | 49436/70000 [17:29:37<7:04:35, 1.24s/step] Training: 71%|███████ | 49437/70000 [17:29:38<6:59:20, 1.22s/step] Training: 71%|███████ | 49438/70000 [17:29:39<7:10:56, 1.26s/step] Training: 71%|███████ | 49439/70000 [17:29:40<7:17:57, 1.28s/step] Training: 71%|███████ | 49440/70000 [17:29:42<7:08:55, 1.25s/step] Training: 71%|███████ | 49441/70000 [17:29:43<7:05:47, 1.24s/step] Training: 71%|███████ | 49442/70000 [17:29:44<7:14:21, 1.27s/step] Training: 71%|███████ | 49443/70000 [17:29:46<7:19:50, 1.28s/step] Training: 71%|███████ | 49444/70000 [17:29:47<7:10:00, 1.26s/step] Training: 71%|███████ | 49445/70000 [17:29:48<7:16:50, 1.28s/step] Training: 71%|███████ | 49446/70000 [17:29:49<7:26:25, 1.30s/step] Training: 71%|███████ | 49447/70000 [17:29:51<7:15:22, 1.27s/step] Training: 71%|███████ | 49448/70000 [17:29:52<7:07:12, 1.25s/step] Training: 71%|███████ | 49449/70000 [17:29:53<7:15:05, 1.27s/step] Training: 71%|███████ | 49450/70000 [17:29:54<7:10:34, 1.26s/step] Training: 71%|███████ | 49451/70000 [17:29:56<7:17:25, 1.28s/step] Training: 71%|███████ | 49452/70000 [17:29:57<7:08:10, 1.25s/step] Training: 71%|███████ | 49453/70000 [17:29:58<7:03:42, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=67003 Training: 71%|███████ | 49454/70000 [17:29:59<7:13:47, 1.27s/step] Training: 71%|███████ | 49455/70000 [17:30:01<7:20:08, 1.29s/step] Training: 71%|███████ | 49456/70000 [17:30:02<7:23:07, 1.29s/step] Training: 71%|███████ | 49457/70000 [17:30:03<7:26:18, 1.30s/step] Training: 71%|███████ | 49458/70000 [17:30:05<7:16:25, 1.27s/step] Training: 71%|███████ | 49459/70000 [17:30:06<7:21:17, 1.29s/step] Training: 71%|███████ | 49460/70000 [17:30:07<7:11:14, 1.26s/step] Training: 71%|███████ | 49461/70000 [17:30:08<7:08:33, 1.25s/step] Training: 71%|███████ | 49462/70000 [17:30:10<7:23:43, 1.30s/step] Training: 71%|███████ | 49463/70000 [17:30:11<7:29:05, 1.31s/step] Training: 71%|███████ | 49464/70000 [17:30:12<7:25:28, 1.30s/step] Training: 71%|███████ | 49465/70000 [17:30:14<7:19:43, 1.28s/step] Training: 71%|███████ | 49466/70000 [17:30:15<7:24:32, 1.30s/step] Training: 71%|███████ | 49467/70000 [17:30:16<7:15:25, 1.27s/step] Training: 71%|███████ | 49468/70000 [17:30:17<7:06:54, 1.25s/step] Training: 71%|███████ | 49469/70000 [17:30:19<7:01:34, 1.23s/step] Training: 71%|███████ | 49470/70000 [17:30:20<7:22:06, 1.29s/step] Training: 71%|███████ | 49471/70000 [17:30:21<7:25:05, 1.30s/step] Training: 71%|███████ | 49472/70000 [17:30:22<7:14:05, 1.27s/step] Training: 71%|███████ | 49473/70000 [17:30:24<7:08:06, 1.25s/step] Training: 71%|███████ | 49474/70000 [17:30:25<7:15:36, 1.27s/step] Training: 71%|███████ | 49475/70000 [17:30:26<7:21:11, 1.29s/step] Training: 71%|███████ | 49476/70000 [17:30:28<7:10:52, 1.26s/step] Training: 71%|███████ | 49477/70000 [17:30:29<7:03:33, 1.24s/step] Training: 71%|███████ | 49478/70000 [17:30:30<6:59:45, 1.23s/step] Training: 71%|███████ | 49479/70000 [17:30:31<7:12:59, 1.27s/step] Training: 71%|███████ | 49480/70000 [17:30:33<7:18:19, 1.28s/step] Training: 71%|███████ | 49481/70000 [17:30:34<7:23:05, 1.30s/step] Training: 71%|███████ | 49482/70000 [17:30:35<7:15:56, 1.27s/step] Training: 71%|███████ | 49483/70000 [17:30:36<7:21:14, 1.29s/step] Training: 71%|███████ | 49484/70000 [17:30:38<7:10:46, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58431 Training: 71%|███████ | 49485/70000 [17:30:39<7:07:25, 1.25s/step] Training: 71%|███████ | 49486/70000 [17:30:40<7:14:27, 1.27s/step] Training: 71%|███████ | 49487/70000 [17:30:42<7:29:50, 1.32s/step] Training: 71%|███████ | 49488/70000 [17:30:43<7:19:12, 1.28s/step] Training: 71%|███████ | 49489/70000 [17:30:44<7:23:41, 1.30s/step] Training: 71%|███████ | 49490/70000 [17:30:45<7:14:32, 1.27s/step] Training: 71%|███████ | 49491/70000 [17:30:47<7:20:29, 1.29s/step] Training: 71%|███████ | 49492/70000 [17:30:48<7:10:22, 1.26s/step] Training: 71%|███████ | 49493/70000 [17:30:49<7:09:12, 1.26s/step] Training: 71%|███████ | 49494/70000 [17:30:50<7:02:17, 1.24s/step] Training: 71%|███████ | 49495/70000 [17:30:52<7:24:27, 1.30s/step] Training: 71%|███████ | 49496/70000 [17:30:53<7:17:57, 1.28s/step] Training: 71%|███████ | 49497/70000 [17:30:54<7:12:57, 1.27s/step] Training: 71%|███████ | 49498/70000 [17:30:56<7:19:02, 1.28s/step] Training: 71%|███████ | 49499/70000 [17:30:57<7:10:01, 1.26s/step] Training: 71%|███████ | 49500/70000 [17:30:58<7:02:27, 1.24s/step]INFO 2026-03-13 13:40:50 ot_train.py:435 step:50K smpl:3M ep:11K epch:41.96 loss:0.009 grdn:0.681 lr:5.8e-06 updt_s:1.246 data_s:0.019 Training: 71%|███████ | 49501/70000 [17:30:59<6:57:24, 1.22s/step] Training: 71%|███████ | 49502/70000 [17:31:00<7:06:42, 1.25s/step] Training: 71%|███████ | 49503/70000 [17:31:02<7:28:10, 1.31s/step] Training: 71%|███████ | 49504/70000 [17:31:03<7:15:38, 1.28s/step] Training: 71%|███████ | 49505/70000 [17:31:04<7:19:15, 1.29s/step] Training: 71%|███████ | 49506/70000 [17:31:06<7:23:38, 1.30s/step] Training: 71%|███████ | 49507/70000 [17:31:07<7:26:54, 1.31s/step] Training: 71%|███████ | 49508/70000 [17:31:08<7:14:22, 1.27s/step] Training: 71%|███████ | 49509/70000 [17:31:10<7:20:39, 1.29s/step] Training: 71%|███████ | 49510/70000 [17:31:11<7:10:33, 1.26s/step] Training: 71%|███████ | 49511/70000 [17:31:12<7:06:31, 1.25s/step] Training: 71%|███████ | 49512/70000 [17:31:13<7:23:22, 1.30s/step] Training: 71%|███████ | 49513/70000 [17:31:15<7:28:12, 1.31s/step] Training: 71%|███████ | 49514/70000 [17:31:16<7:19:50, 1.29s/step] Training: 71%|███████ | 49515/70000 [17:31:17<7:24:00, 1.30s/step] Training: 71%|███████ | 49516/70000 [17:31:19<7:12:19, 1.27s/step] Training: 71%|███████ | 49517/70000 [17:31:20<7:06:35, 1.25s/step] Training: 71%|███████ | 49518/70000 [17:31:21<7:00:16, 1.23s/step] Training: 71%|███████ | 49519/70000 [17:31:22<7:13:39, 1.27s/step] Training: 71%|███████ | 49520/70000 [17:31:24<7:21:38, 1.29s/step] Training: 71%|███████ | 49521/70000 [17:31:25<7:24:11, 1.30s/step] Training: 71%|███████ | 49522/70000 [17:31:26<7:16:25, 1.28s/step] Training: 71%|███████ | 49523/70000 [17:31:28<7:21:45, 1.29s/step] Training: 71%|███████ | 49524/70000 [17:31:29<7:10:56, 1.26s/step] Training: 71%|███████ | 49525/70000 [17:31:30<7:07:52, 1.25s/step] Training: 71%|███████ | 49526/70000 [17:31:31<7:00:58, 1.23s/step] Training: 71%|███████ | 49527/70000 [17:31:32<7:09:44, 1.26s/step] Training: 71%|███████ | 49528/70000 [17:31:34<7:28:12, 1.31s/step] Training: 71%|███████ | 49529/70000 [17:31:35<7:19:21, 1.29s/step] Training: 71%|███████ | 49530/70000 [17:31:36<7:09:19, 1.26s/step] Training: 71%|███████ | 49531/70000 [17:31:38<7:17:48, 1.28s/step] Training: 71%|███████ | 49532/70000 [17:31:39<7:07:55, 1.25s/step] Training: 71%|███████ | 49533/70000 [17:31:40<7:01:32, 1.24s/step] Training: 71%|███████ | 49534/70000 [17:31:41<7:09:48, 1.26s/step] Training: 71%|███████ | 49535/70000 [17:31:43<7:16:43, 1.28s/step] Training: 71%|███████ | 49536/70000 [17:31:44<7:24:11, 1.30s/step] Training: 71%|███████ | 49537/70000 [17:31:45<7:13:53, 1.27s/step] Training: 71%|███████ | 49538/70000 [17:31:47<7:19:29, 1.29s/step] Training: 71%|███████ | 49539/70000 [17:31:48<7:23:54, 1.30s/step] Training: 71%|███████ | 49540/70000 [17:31:49<7:11:58, 1.27s/step] Training: 71%|███████ | 49541/70000 [17:31:50<7:19:58, 1.29s/step] Training: 71%|███████ | 49542/70000 [17:31:52<7:09:32, 1.26s/step] Training: 71%|███████ | 49543/70000 [17:31:53<7:15:50, 1.28s/step] Training: 71%|███████ | 49544/70000 [17:31:54<7:20:49, 1.29s/step] Training: 71%|███████ | 49545/70000 [17:31:56<7:23:41, 1.30s/step] Training: 71%|███████ | 49546/70000 [17:31:57<7:14:47, 1.28s/step] Training: 71%|███████ | 49547/70000 [17:31:58<7:20:23, 1.29s/step] Training: 71%|███████ | 49548/70000 [17:31:59<7:09:51, 1.26s/step] Training: 71%|███████ | 49549/70000 [17:32:01<7:04:59, 1.25s/step] Training: 71%|███████ | 49550/70000 [17:32:02<6:59:06, 1.23s/step] Training: 71%|███████ | 49551/70000 [17:32:03<7:09:10, 1.26s/step] Training: 71%|███████ | 49552/70000 [17:32:04<7:16:55, 1.28s/step] Training: 71%|███████ | 49553/70000 [17:32:06<7:35:38, 1.34s/step] Training: 71%|███████ | 49554/70000 [17:32:07<7:26:13, 1.31s/step] Training: 71%|███████ | 49555/70000 [17:32:08<7:28:42, 1.32s/step] Training: 71%|███████ | 49556/70000 [17:32:10<7:15:12, 1.28s/step] Training: 71%|███████ | 49557/70000 [17:32:11<7:11:17, 1.27s/step] Training: 71%|███████ | 49558/70000 [17:32:12<7:03:15, 1.24s/step] Training: 71%|███████ | 49559/70000 [17:32:13<7:12:20, 1.27s/step] Training: 71%|███████ | 49560/70000 [17:32:16<9:04:35, 1.60s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 71%|███████ | 49561/70000 [17:32:20<13:28:21, 2.37s/step] Training: 71%|███████ | 49562/70000 [17:32:21<11:27:09, 2.02s/step] Training: 71%|███████ | 49563/70000 [17:32:23<10:27:35, 1.84s/step] Training: 71%|███████ | 49564/70000 [17:32:24<9:20:45, 1.65s/step] Training: 71%|███████ | 49565/70000 [17:32:25<8:34:15, 1.51s/step] Training: 71%|███████ | 49566/70000 [17:32:26<8:18:21, 1.46s/step] Training: 71%|███████ | 49567/70000 [17:32:28<8:10:43, 1.44s/step] Training: 71%|███████ | 49568/70000 [17:32:29<7:45:01, 1.37s/step] Training: 71%|███████ | 49569/70000 [17:32:30<7:44:46, 1.36s/step] Training: 71%|███████ | 49570/70000 [17:32:32<7:41:46, 1.36s/step] Training: 71%|███████ | 49571/70000 [17:32:33<7:39:37, 1.35s/step] Training: 71%|███████ | 49572/70000 [17:32:34<7:23:05, 1.30s/step] Training: 71%|███████ | 49573/70000 [17:32:35<7:26:45, 1.31s/step] Training: 71%|███████ | 49574/70000 [17:32:37<7:14:30, 1.28s/step] Training: 71%|███████ | 49575/70000 [17:32:38<7:19:21, 1.29s/step] Training: 71%|███████ | 49576/70000 [17:32:39<7:23:55, 1.30s/step] Training: 71%|███████ | 49577/70000 [17:32:41<7:31:13, 1.33s/step] Training: 71%|███████ | 49578/70000 [17:32:42<7:18:38, 1.29s/step] Training: 71%|███████ | 49579/70000 [17:32:43<7:22:50, 1.30s/step] Training: 71%|███████ | 49580/70000 [17:32:44<7:11:25, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=37152 Training: 71%|███████ | 49581/70000 [17:32:46<7:06:29, 1.25s/step] Training: 71%|███████ | 49582/70000 [17:32:47<7:00:29, 1.24s/step] Training: 71%|███████ | 49583/70000 [17:32:48<7:09:41, 1.26s/step] Training: 71%|███████ | 49584/70000 [17:32:49<7:04:23, 1.25s/step] Training: 71%|███████ | 49585/70000 [17:32:51<7:13:19, 1.27s/step] Training: 71%|███████ | 49586/70000 [17:32:52<7:20:59, 1.30s/step] Training: 71%|███████ | 49587/70000 [17:32:53<7:25:46, 1.31s/step] Training: 71%|███████ | 49588/70000 [17:32:55<7:13:11, 1.27s/step] Training: 71%|███████ | 49589/70000 [17:32:56<7:09:03, 1.26s/step] Training: 71%|███████ | 49590/70000 [17:32:57<7:01:42, 1.24s/step] Training: 71%|███████ | 49591/70000 [17:32:58<7:11:31, 1.27s/step] Training: 71%|███████ | 49592/70000 [17:33:00<7:07:35, 1.26s/step] Training: 71%|███████ | 49593/70000 [17:33:01<7:15:53, 1.28s/step] Training: 71%|███████ | 49594/70000 [17:33:02<7:07:51, 1.26s/step] Training: 71%|███████ | 49595/70000 [17:33:03<7:16:07, 1.28s/step] Training: 71%|███████ | 49596/70000 [17:33:05<7:06:40, 1.25s/step] Training: 71%|███████ | 49597/70000 [17:33:06<7:00:23, 1.24s/step] Training: 71%|███████ | 49598/70000 [17:33:07<7:07:57, 1.26s/step] Training: 71%|███████ | 49599/70000 [17:33:08<7:15:13, 1.28s/step] Training: 71%|███████ | 49600/70000 [17:33:10<7:06:55, 1.26s/step]INFO 2026-03-13 13:43:02 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.04 loss:0.008 grdn:0.759 lr:5.7e-06 updt_s:1.257 data_s:0.057 Training: 71%|███████ | 49601/70000 [17:33:11<7:12:56, 1.27s/step] Training: 71%|███████ | 49602/70000 [17:33:12<7:21:31, 1.30s/step] Training: 71%|███████ | 49603/70000 [17:33:14<7:25:20, 1.31s/step] Training: 71%|███████ | 49604/70000 [17:33:15<7:13:10, 1.27s/step] Training: 71%|███████ | 49605/70000 [17:33:16<7:04:32, 1.25s/step] Training: 71%|███████ | 49606/70000 [17:33:17<6:58:51, 1.23s/step] Training: 71%|███████ | 49607/70000 [17:33:19<7:08:54, 1.26s/step] Training: 71%|███████ | 49608/70000 [17:33:20<7:14:49, 1.28s/step] Training: 71%|███████ | 49609/70000 [17:33:21<7:20:37, 1.30s/step] Training: 71%|███████ | 49610/70000 [17:33:22<7:18:05, 1.29s/step] Training: 71%|███████ | 49611/70000 [17:33:24<7:21:01, 1.30s/step] Training: 71%|███████ | 49612/70000 [17:33:25<7:10:04, 1.27s/step] Training: 71%|███████ | 49613/70000 [17:33:26<7:04:07, 1.25s/step] Training: 71%|███████ | 49614/70000 [17:33:27<6:58:03, 1.23s/step] Training: 71%|███████ | 49615/70000 [17:33:29<7:08:39, 1.26s/step] Training: 71%|███████ | 49616/70000 [17:33:30<7:03:11, 1.25s/step] Training: 71%|███████ | 49617/70000 [17:33:31<7:10:39, 1.27s/step] Training: 71%|███████ | 49618/70000 [17:33:32<7:06:41, 1.26s/step] Training: 71%|███████ | 49619/70000 [17:33:34<7:22:13, 1.30s/step] Training: 71%|███████ | 49620/70000 [17:33:35<7:11:13, 1.27s/step] Training: 71%|███████ | 49621/70000 [17:33:36<7:08:48, 1.26s/step] Training: 71%|███████ | 49622/70000 [17:33:37<7:01:40, 1.24s/step] Training: 71%|███████ | 49623/70000 [17:33:39<7:10:53, 1.27s/step] Training: 71%|███████ | 49624/70000 [17:33:40<7:06:26, 1.26s/step] Training: 71%|███████ | 49625/70000 [17:33:41<7:13:52, 1.28s/step] Training: 71%|███████ | 49626/70000 [17:33:43<7:05:39, 1.25s/step] Training: 71%|███████ | 49627/70000 [17:33:44<7:15:02, 1.28s/step] Training: 71%|███████ | 49628/70000 [17:33:45<7:06:03, 1.25s/step] Training: 71%|███████ | 49629/70000 [17:33:46<6:59:19, 1.24s/step] Training: 71%|███████ | 49630/70000 [17:33:48<7:07:14, 1.26s/step] Training: 71%|███████ | 49631/70000 [17:33:49<7:14:05, 1.28s/step] Training: 71%|███████ | 49632/70000 [17:33:50<7:05:38, 1.25s/step] Training: 71%|███████ | 49633/70000 [17:33:51<7:11:08, 1.27s/step] Training: 71%|███████ | 49634/70000 [17:33:53<7:16:41, 1.29s/step] Training: 71%|███████ | 49635/70000 [17:33:54<7:20:09, 1.30s/step] Training: 71%|███████ | 49636/70000 [17:33:55<7:24:38, 1.31s/step] Training: 71%|███████ | 49637/70000 [17:33:57<7:25:19, 1.31s/step] Training: 71%|███████ | 49638/70000 [17:33:58<7:12:54, 1.28s/step] Training: 71%|███████ | 49639/70000 [17:33:59<7:18:48, 1.29s/step] Training: 71%|███████ | 49640/70000 [17:34:00<7:08:09, 1.26s/step] Training: 71%|███████ | 49641/70000 [17:34:02<7:14:20, 1.28s/step] Training: 71%|███████ | 49642/70000 [17:34:03<7:06:28, 1.26s/step] Training: 71%|███████ | 49643/70000 [17:34:04<7:16:16, 1.29s/step] Training: 71%|███████ | 49644/70000 [17:34:06<7:05:07, 1.25s/step] Training: 71%|███████ | 49645/70000 [17:34:07<7:02:47, 1.25s/step] Training: 71%|███████ | 49646/70000 [17:34:08<6:57:34, 1.23s/step] Training: 71%|███████ | 49647/70000 [17:34:09<7:08:11, 1.26s/step] Training: 71%|███████ | 49648/70000 [17:34:11<7:12:44, 1.28s/step] Training: 71%|███████ | 49649/70000 [17:34:12<7:18:55, 1.29s/step] Training: 71%|███████ | 49650/70000 [17:34:13<7:12:59, 1.28s/step] Training: 71%|███████ | 49651/70000 [17:34:14<7:18:23, 1.29s/step] Training: 71%|███████ | 49652/70000 [17:34:16<7:23:23, 1.31s/step] Training: 71%|███████ | 49653/70000 [17:34:17<7:14:54, 1.28s/step] Training: 71%|███████ | 49654/70000 [17:34:18<7:05:24, 1.25s/step] Training: 71%|███████ | 49655/70000 [17:34:20<7:12:52, 1.28s/step] Training: 71%|███████ | 49656/70000 [17:34:21<7:19:05, 1.30s/step] Training: 71%|███████ | 49657/70000 [17:34:22<7:22:26, 1.30s/step] Training: 71%|███████ | 49658/70000 [17:34:23<7:10:51, 1.27s/step] Training: 71%|███████ | 49659/70000 [17:34:25<7:17:15, 1.29s/step] Training: 71%|███████ | 49660/70000 [17:34:26<7:22:27, 1.31s/step] Training: 71%|███████ | 49661/70000 [17:34:27<7:09:51, 1.27s/step] Training: 71%|███████ | 49662/70000 [17:34:29<7:14:07, 1.28s/step] Training: 71%|███████ | 49663/70000 [17:34:30<7:18:47, 1.29s/step] Training: 71%|███████ | 49664/70000 [17:34:31<7:10:01, 1.27s/step] Training: 71%|███████ | 49665/70000 [17:34:32<7:01:58, 1.25s/step] Training: 71%|███████ | 49666/70000 [17:34:34<7:22:16, 1.31s/step] Training: 71%|███████ | 49667/70000 [17:34:35<7:24:42, 1.31s/step] Training: 71%|███████ | 49668/70000 [17:34:36<7:13:10, 1.28s/step] Training: 71%|███████ | 49669/70000 [17:34:38<7:17:10, 1.29s/step] Training: 71%|███████ | 49670/70000 [17:34:39<7:06:37, 1.26s/step] Training: 71%|███████ | 49671/70000 [17:34:40<7:15:37, 1.29s/step] Training: 71%|███████ | 49672/70000 [17:34:41<7:20:24, 1.30s/step] Training: 71%|███████ | 49673/70000 [17:34:43<7:22:32, 1.31s/step] Training: 71%|███████ | 49674/70000 [17:34:44<7:13:36, 1.28s/step] Training: 71%|███████ | 49675/70000 [17:34:45<7:17:50, 1.29s/step] Training: 71%|███████ | 49676/70000 [17:34:47<7:12:38, 1.28s/step] Training: 71%|███████ | 49677/70000 [17:34:48<7:06:42, 1.26s/step] Training: 71%|███████ | 49678/70000 [17:34:49<6:59:25, 1.24s/step] Training: 71%|███████ | 49679/70000 [17:34:50<7:10:16, 1.27s/step] Training: 71%|███████ | 49680/70000 [17:34:52<7:16:03, 1.29s/step] Training: 71%|███████ | 49681/70000 [17:34:53<7:07:59, 1.26s/step] Training: 71%|███████ | 49682/70000 [17:34:54<7:04:56, 1.25s/step] Training: 71%|███████ | 49683/70000 [17:34:55<7:12:29, 1.28s/step] Training: 71%|███████ | 49684/70000 [17:34:57<7:07:42, 1.26s/step] Training: 71%|███████ | 49685/70000 [17:34:58<7:03:39, 1.25s/step] Training: 71%|███████ | 49686/70000 [17:34:59<6:57:22, 1.23s/step] Training: 71%|███████ | 49687/70000 [17:35:00<7:08:37, 1.27s/step] Training: 71%|███████ | 49688/70000 [17:35:02<7:16:11, 1.29s/step] Training: 71%|███████ | 49689/70000 [17:35:03<7:09:27, 1.27s/step] Training: 71%|███████ | 49690/70000 [17:35:04<7:01:49, 1.25s/step] Training: 71%|███████ | 49691/70000 [17:35:06<7:12:12, 1.28s/step] Training: 71%|███████ | 49692/70000 [17:35:07<7:03:20, 1.25s/step] Training: 71%|███████ | 49693/70000 [17:35:08<7:13:43, 1.28s/step] Training: 71%|███████ | 49694/70000 [17:35:09<7:11:32, 1.28s/step] Training: 71%|███████ | 49695/70000 [17:35:11<7:07:17, 1.26s/step] Training: 71%|███████ | 49696/70000 [17:35:12<7:02:39, 1.25s/step] Training: 71%|███████ | 49697/70000 [17:35:13<6:56:50, 1.23s/step] Training: 71%|███████ | 49698/70000 [17:35:14<7:18:01, 1.29s/step] Training: 71%|███████ | 49699/70000 [17:35:16<7:23:55, 1.31s/step] Training: 71%|███████ | 49700/70000 [17:35:17<7:11:40, 1.28s/step]INFO 2026-03-13 13:45:09 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.13 loss:0.008 grdn:0.649 lr:5.7e-06 updt_s:1.253 data_s:0.019 Training: 71%|███████ | 49701/70000 [17:35:18<7:25:07, 1.32s/step] Training: 71%|███████ | 49702/70000 [17:35:20<7:12:14, 1.28s/step] Training: 71%|███████ | 49703/70000 [17:35:21<7:17:46, 1.29s/step] Training: 71%|███████ | 49704/70000 [17:35:22<7:22:09, 1.31s/step] Training: 71%|███████ | 49705/70000 [17:35:24<7:24:53, 1.32s/step] Training: 71%|███████ | 49706/70000 [17:35:25<7:14:34, 1.28s/step] Training: 71%|███████ | 49707/70000 [17:35:26<7:18:46, 1.30s/step] Training: 71%|███████ | 49708/70000 [17:35:27<7:07:41, 1.26s/step] Training: 71%|███████ | 49709/70000 [17:35:29<7:17:31, 1.29s/step] Training: 71%|███████ | 49710/70000 [17:35:30<7:05:29, 1.26s/step] Training: 71%|███████ | 49711/70000 [17:35:31<7:13:32, 1.28s/step] Training: 71%|███████ | 49712/70000 [17:35:32<7:18:36, 1.30s/step] Training: 71%|███████ | 49713/70000 [17:35:34<7:10:18, 1.27s/step] Training: 71%|███████ | 49714/70000 [17:35:35<7:16:53, 1.29s/step] Training: 71%|███████ | 49715/70000 [17:35:36<7:21:05, 1.30s/step] Training: 71%|███████ | 49716/70000 [17:35:38<7:09:04, 1.27s/step] Training: 71%|███████ | 49717/70000 [17:35:39<7:17:34, 1.29s/step] Training: 71%|███████ | 49718/70000 [17:35:40<7:06:05, 1.26s/step] Training: 71%|███████ | 49719/70000 [17:35:41<7:18:30, 1.30s/step] Training: 71%|███████ | 49720/70000 [17:35:43<7:22:23, 1.31s/step] Training: 71%|███████ | 49721/70000 [17:35:44<7:14:11, 1.28s/step] Training: 71%|███████ | 49722/70000 [17:35:45<7:08:05, 1.27s/step] Training: 71%|███████ | 49723/70000 [17:35:46<7:02:53, 1.25s/step] Training: 71%|███████ | 49724/70000 [17:35:48<6:56:36, 1.23s/step] Training: 71%|███████ | 49725/70000 [17:35:49<6:52:09, 1.22s/step] Training: 71%|███████ | 49726/70000 [17:35:50<7:04:11, 1.26s/step] Training: 71%|███████ | 49727/70000 [17:35:51<6:59:44, 1.24s/step] Training: 71%|███████ | 49728/70000 [17:35:53<6:57:13, 1.23s/step] Training: 71%|███████ | 49729/70000 [17:35:54<6:52:47, 1.22s/step] Training: 71%|███████ | 49730/70000 [17:35:55<7:15:10, 1.29s/step] Training: 71%|███████ | 49731/70000 [17:35:57<7:20:35, 1.30s/step] Training: 71%|███████ | 49732/70000 [17:35:58<7:08:54, 1.27s/step] Training: 71%|███████ | 49733/70000 [17:35:59<7:00:50, 1.25s/step] Training: 71%|███████ | 49734/70000 [17:36:00<7:09:43, 1.27s/step] Training: 71%|███████ | 49735/70000 [17:36:02<7:15:09, 1.29s/step] Training: 71%|███████ | 49736/70000 [17:36:03<7:19:35, 1.30s/step] Training: 71%|███████ | 49737/70000 [17:36:04<7:08:12, 1.27s/step] Training: 71%|███████ | 49738/70000 [17:36:06<7:14:55, 1.29s/step] Training: 71%|███████ | 49739/70000 [17:36:07<7:20:19, 1.30s/step] Training: 71%|███████ | 49740/70000 [17:36:08<7:08:43, 1.27s/step] Training: 71%|███████ | 49741/70000 [17:36:09<7:03:02, 1.25s/step] Training: 71%|███████ | 49742/70000 [17:36:11<7:11:48, 1.28s/step] Training: 71%|███████ | 49743/70000 [17:36:12<7:16:26, 1.29s/step] Training: 71%|███████ | 49744/70000 [17:36:13<7:19:24, 1.30s/step] Training: 71%|███████ | 49745/70000 [17:36:14<7:13:09, 1.28s/step] Training: 71%|███████ | 49746/70000 [17:36:16<7:17:43, 1.30s/step] Training: 71%|███████ | 49747/70000 [17:36:17<7:11:01, 1.28s/step] Training: 71%|███████ | 49748/70000 [17:36:18<7:01:55, 1.25s/step] Training: 71%|███████ | 49749/70000 [17:36:19<6:59:54, 1.24s/step] Training: 71%|███████ | 49750/70000 [17:36:21<7:10:44, 1.28s/step] Training: 71%|███████ | 49751/70000 [17:36:22<7:26:58, 1.32s/step] Training: 71%|███████ | 49752/70000 [17:36:24<7:27:21, 1.33s/step] Training: 71%|███████ | 49753/70000 [17:36:25<7:15:57, 1.29s/step] Training: 71%|███████ | 49754/70000 [17:36:26<7:08:55, 1.27s/step] Training: 71%|███████ | 49755/70000 [17:36:27<7:02:26, 1.25s/step] Training: 71%|███████ | 49756/70000 [17:36:28<6:55:50, 1.23s/step] Training: 71%|███████ | 49757/70000 [17:36:30<6:51:28, 1.22s/step] Training: 71%|███████ | 49758/70000 [17:36:31<7:01:56, 1.25s/step] Training: 71%|███████ | 49759/70000 [17:36:32<7:08:43, 1.27s/step] Training: 71%|███████ | 49760/70000 [17:36:33<7:01:58, 1.25s/step] Training: 71%|███████ | 49761/70000 [17:36:35<7:10:16, 1.28s/step] Training: 71%|███████ | 49762/70000 [17:36:36<7:16:23, 1.29s/step] Training: 71%|███████ | 49763/70000 [17:36:37<7:20:15, 1.31s/step] Training: 71%|███████ | 49764/70000 [17:36:39<7:08:22, 1.27s/step] Training: 71%|███████ | 49765/70000 [17:36:40<7:14:36, 1.29s/step] Training: 71%|███████ | 49766/70000 [17:36:41<7:04:40, 1.26s/step] Training: 71%|███████ | 49767/70000 [17:36:43<7:22:46, 1.31s/step] Training: 71%|███████ | 49768/70000 [17:36:44<7:24:23, 1.32s/step] Training: 71%|███████ | 49769/70000 [17:36:45<7:24:56, 1.32s/step] Training: 71%|███████ | 49770/70000 [17:36:47<7:25:45, 1.32s/step] Training: 71%|███████ | 49771/70000 [17:36:48<7:26:33, 1.32s/step] Training: 71%|███████ | 49772/70000 [17:36:49<7:12:44, 1.28s/step] Training: 71%|███████ | 49773/70000 [17:36:50<7:05:01, 1.26s/step] Training: 71%|███████ | 49774/70000 [17:36:51<6:58:05, 1.24s/step] Training: 71%|███████ | 49775/70000 [17:36:53<7:16:15, 1.29s/step] Training: 71%|███████ | 49776/70000 [17:36:54<7:19:21, 1.30s/step] Training: 71%|███████ | 49777/70000 [17:36:55<7:15:06, 1.29s/step] Training: 71%|███████ | 49778/70000 [17:36:57<7:18:18, 1.30s/step] Training: 71%|███████ | 49779/70000 [17:36:58<7:10:47, 1.28s/step] Training: 71%|███████ | 49780/70000 [17:36:59<7:01:28, 1.25s/step] Training: 71%|███████ | 49781/70000 [17:37:00<6:59:26, 1.24s/step] Training: 71%|███████ | 49782/70000 [17:37:02<6:54:28, 1.23s/step] Training: 71%|███████ | 49783/70000 [17:37:03<7:07:57, 1.27s/step] Training: 71%|███████ | 49784/70000 [17:37:04<7:12:08, 1.28s/step] Training: 71%|███████ | 49785/70000 [17:37:06<7:06:56, 1.27s/step] Training: 71%|███████ | 49786/70000 [17:37:07<7:01:55, 1.25s/step] Training: 71%|███████ | 49787/70000 [17:37:08<6:58:20, 1.24s/step] Training: 71%|███████ | 49788/70000 [17:37:09<6:54:05, 1.23s/step] Training: 71%|███████ | 49789/70000 [17:37:10<6:49:34, 1.22s/step] Training: 71%|███████ | 49790/70000 [17:37:12<6:59:41, 1.25s/step] Training: 71%|███████ | 49791/70000 [17:37:13<7:09:16, 1.27s/step] Training: 71%|███████ | 49792/70000 [17:37:14<7:16:04, 1.29s/step] Training: 71%|███████ | 49793/70000 [17:37:16<7:19:56, 1.31s/step] Training: 71%|███████ | 49794/70000 [17:37:17<7:22:25, 1.31s/step] Training: 71%|███████ | 49795/70000 [17:37:18<7:23:40, 1.32s/step] Training: 71%|███████ | 49796/70000 [17:37:20<7:10:42, 1.28s/step] Training: 71%|███████ | 49797/70000 [17:37:21<7:01:51, 1.25s/step] Training: 71%|███████ | 49798/70000 [17:37:22<6:55:39, 1.23s/step] Training: 71%|███████ | 49799/70000 [17:37:23<6:53:40, 1.23s/step] Training: 71%|███████ | 49800/70000 [17:37:25<7:12:32, 1.28s/step]INFO 2026-03-13 13:47:17 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.21 loss:0.008 grdn:0.758 lr:5.6e-06 updt_s:1.255 data_s:0.019 Training: 71%|███████ | 49801/70000 [17:37:26<7:03:09, 1.26s/step] Training: 71%|███████ | 49802/70000 [17:37:27<7:11:09, 1.28s/step] Training: 71%|███████ | 49803/70000 [17:37:29<7:24:55, 1.32s/step] Training: 71%|███████ | 49804/70000 [17:37:30<7:11:26, 1.28s/step] Training: 71%|███████ | 49805/70000 [17:37:31<7:07:12, 1.27s/step] Training: 71%|███████ | 49806/70000 [17:37:32<6:59:30, 1.25s/step] Training: 71%|███████ | 49807/70000 [17:37:34<7:12:18, 1.28s/step] Training: 71%|███████ | 49808/70000 [17:37:35<7:17:27, 1.30s/step] Training: 71%|███████ | 49809/70000 [17:37:36<7:06:30, 1.27s/step] Training: 71%|███████ | 49810/70000 [17:37:37<7:10:55, 1.28s/step] Training: 71%|███████ | 49811/70000 [17:37:39<7:15:27, 1.29s/step] Training: 71%|███████ | 49812/70000 [17:37:40<7:04:47, 1.26s/step] Training: 71%|███████ | 49813/70000 [17:37:41<6:58:52, 1.24s/step] Training: 71%|███████ | 49814/70000 [17:37:42<6:53:26, 1.23s/step] Training: 71%|███████ | 49815/70000 [17:37:44<7:04:01, 1.26s/step] Training: 71%|███████ | 49816/70000 [17:37:45<7:15:24, 1.29s/step] Training: 71%|███████ | 49817/70000 [17:37:46<7:05:03, 1.26s/step] Training: 71%|███████ | 49818/70000 [17:37:47<6:57:29, 1.24s/step] Training: 71%|███████ | 49819/70000 [17:37:49<6:54:44, 1.23s/step] Training: 71%|███████ | 49820/70000 [17:37:50<6:50:37, 1.22s/step] Training: 71%|███████ | 49821/70000 [17:37:51<7:01:36, 1.25s/step] Training: 71%|███████ | 49822/70000 [17:37:52<6:54:47, 1.23s/step] Training: 71%|███████ | 49823/70000 [17:37:54<7:05:01, 1.26s/step] Training: 71%|███████ | 49824/70000 [17:37:55<7:00:28, 1.25s/step] Training: 71%|███████ | 49825/70000 [17:37:56<7:09:44, 1.28s/step] Training: 71%|███████ | 49826/70000 [17:37:57<7:13:15, 1.29s/step] Training: 71%|███████ | 49827/70000 [17:37:59<7:19:44, 1.31s/step] Training: 71%|███████ | 49828/70000 [17:38:00<7:08:02, 1.27s/step] Training: 71%|███████ | 49829/70000 [17:38:01<7:14:10, 1.29s/step] Training: 71%|███████ | 49830/70000 [17:38:03<7:04:19, 1.26s/step] Training: 71%|███████ | 49831/70000 [17:38:04<7:11:04, 1.28s/step] Training: 71%|███████ | 49832/70000 [17:38:05<7:16:07, 1.30s/step] Training: 71%|███████ | 49833/70000 [17:38:07<7:21:17, 1.31s/step] Training: 71%|███████ | 49834/70000 [17:38:08<7:22:06, 1.32s/step] Training: 71%|███████ | 49835/70000 [17:38:09<7:22:56, 1.32s/step] Training: 71%|███████ | 49836/70000 [17:38:10<7:09:53, 1.28s/step] Training: 71%|███████ | 49837/70000 [17:38:12<7:05:36, 1.27s/step] Training: 71%|███████ | 49838/70000 [17:38:13<6:58:28, 1.25s/step] Training: 71%|███████ | 49839/70000 [17:38:14<7:08:07, 1.27s/step] Training: 71%|███████ | 49840/70000 [17:38:16<7:14:56, 1.29s/step] Training: 71%|███████ | 49841/70000 [17:38:17<7:10:20, 1.28s/step] Training: 71%|███████ | 49842/70000 [17:38:18<7:02:57, 1.26s/step] Training: 71%|███████ | 49843/70000 [17:38:19<6:59:25, 1.25s/step] Training: 71%|███████ | 49844/70000 [17:38:21<7:05:54, 1.27s/step] Training: 71%|███████ | 49845/70000 [17:38:22<7:00:58, 1.25s/step] Training: 71%|███████ | 49846/70000 [17:38:23<6:54:39, 1.23s/step] Training: 71%|███████ | 49847/70000 [17:38:24<7:04:14, 1.26s/step] Training: 71%|███████ | 49848/70000 [17:38:26<7:10:55, 1.28s/step] Training: 71%|███████ | 49849/70000 [17:38:27<7:07:27, 1.27s/step] Training: 71%|███████ | 49850/70000 [17:38:28<7:13:22, 1.29s/step] Training: 71%|███████ | 49851/70000 [17:38:29<7:04:47, 1.26s/step] Training: 71%|███████ | 49852/70000 [17:38:31<6:56:58, 1.24s/step] Training: 71%|███████ | 49853/70000 [17:38:32<7:05:15, 1.27s/step] Training: 71%|███████ | 49854/70000 [17:38:33<6:57:52, 1.24s/step] Training: 71%|███████ | 49855/70000 [17:38:34<7:07:12, 1.27s/step] Training: 71%|███████ | 49856/70000 [17:38:36<6:59:36, 1.25s/step] Training: 71%|███████ | 49857/70000 [17:38:37<6:53:36, 1.23s/step] Training: 71%|███████ | 49858/70000 [17:38:38<7:15:24, 1.30s/step] Training: 71%|███████ | 49859/70000 [17:38:40<7:22:20, 1.32s/step] Training: 71%|███████ | 49860/70000 [17:38:41<7:09:54, 1.28s/step] Training: 71%|███████ | 49861/70000 [17:38:42<7:16:00, 1.30s/step] Training: 71%|███████ | 49862/70000 [17:38:43<7:05:08, 1.27s/step] Training: 71%|███████ | 49863/70000 [17:38:45<7:11:03, 1.28s/step] Training: 71%|███████ | 49864/70000 [17:38:46<7:15:23, 1.30s/step] Training: 71%|███████ | 49865/70000 [17:38:47<7:04:51, 1.27s/step] Training: 71%|███████ | 49866/70000 [17:38:49<7:18:59, 1.31s/step] Training: 71%|███████ | 49867/70000 [17:38:50<7:21:59, 1.32s/step] Training: 71%|███████ | 49868/70000 [17:38:51<7:09:02, 1.28s/step] Training: 71%|███████ | 49869/70000 [17:38:52<7:03:13, 1.26s/step] Training: 71%|███████ | 49870/70000 [17:38:54<6:56:05, 1.24s/step] Training: 71%|███████ | 49871/70000 [17:38:55<7:07:39, 1.27s/step] Training: 71%|███████ | 49872/70000 [17:38:56<7:13:48, 1.29s/step] Training: 71%|███████ | 49873/70000 [17:38:57<7:03:29, 1.26s/step] Training: 71%|███████ | 49874/70000 [17:38:59<7:12:39, 1.29s/step] Training: 71%|███████▏ | 49875/70000 [17:39:00<7:15:07, 1.30s/step] Training: 71%|███████▏ | 49876/70000 [17:39:01<7:04:46, 1.27s/step] Training: 71%|███████▏ | 49877/70000 [17:39:02<6:59:22, 1.25s/step] Training: 71%|███████▏ | 49878/70000 [17:39:04<6:53:13, 1.23s/step] Training: 71%|███████▏ | 49879/70000 [17:39:05<7:02:46, 1.26s/step] Training: 71%|███████▏ | 49880/70000 [17:39:06<7:09:04, 1.28s/step] Training: 71%|███████▏ | 49881/70000 [17:39:08<7:00:20, 1.25s/step] Training: 71%|███████▏ | 49882/70000 [17:39:09<7:10:19, 1.28s/step] Training: 71%|███████▏ | 49883/70000 [17:39:10<7:13:56, 1.29s/step] Training: 71%|███████▏ | 49884/70000 [17:39:11<7:03:17, 1.26s/step] Training: 71%|███████▏ | 49885/70000 [17:39:13<7:10:04, 1.28s/step] Training: 71%|███████▏ | 49886/70000 [17:39:14<7:00:48, 1.26s/step] Training: 71%|███████▏ | 49887/70000 [17:39:15<7:09:10, 1.28s/step] Training: 71%|███████▏ | 49888/70000 [17:39:16<7:02:08, 1.26s/step] Training: 71%|███████▏ | 49889/70000 [17:39:18<6:55:11, 1.24s/step] Training: 71%|███████▏ | 49890/70000 [17:39:19<7:04:10, 1.27s/step] Training: 71%|███████▏ | 49891/70000 [17:39:20<7:21:30, 1.32s/step] Training: 71%|███████▏ | 49892/70000 [17:39:22<7:08:36, 1.28s/step] Training: 71%|███████▏ | 49893/70000 [17:39:23<7:13:10, 1.29s/step] Training: 71%|███████▏ | 49894/70000 [17:39:24<7:03:45, 1.26s/step] Training: 71%|███████▏ | 49895/70000 [17:39:25<7:05:42, 1.27s/step] Training: 71%|███████▏ | 49896/70000 [17:39:27<7:12:03, 1.29s/step] Training: 71%|███████▏ | 49897/70000 [17:39:28<7:01:44, 1.26s/step] Training: 71%|███████▏ | 49898/70000 [17:39:29<7:08:00, 1.28s/step] Training: 71%|███████▏ | 49899/70000 [17:39:31<7:20:53, 1.32s/step] Training: 71%|███████▏ | 49900/70000 [17:39:32<7:08:35, 1.28s/step]INFO 2026-03-13 13:49:24 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.30 loss:0.008 grdn:0.777 lr:5.6e-06 updt_s:1.252 data_s:0.019 Training: 71%|███████▏ | 49901/70000 [17:39:33<7:03:25, 1.26s/step] Training: 71%|███████▏ | 49902/70000 [17:39:34<6:56:00, 1.24s/step] Training: 71%|███████▏ | 49903/70000 [17:39:36<6:54:48, 1.24s/step] Training: 71%|███████▏ | 49904/70000 [17:39:37<7:03:05, 1.26s/step] Training: 71%|███████▏ | 49905/70000 [17:39:38<6:55:35, 1.24s/step] Training: 71%|███████▏ | 49906/70000 [17:39:39<6:52:26, 1.23s/step] Training: 71%|███████▏ | 49907/70000 [17:39:41<7:10:22, 1.29s/step] Training: 71%|███████▏ | 49908/70000 [17:39:42<7:01:18, 1.26s/step] Training: 71%|███████▏ | 49909/70000 [17:39:43<6:56:15, 1.24s/step] Training: 71%|███████▏ | 49910/70000 [17:39:44<6:50:38, 1.23s/step] Training: 71%|███████▏ | 49911/70000 [17:39:46<7:00:46, 1.26s/step] Training: 71%|███████▏ | 49912/70000 [17:39:47<6:54:49, 1.24s/step] Training: 71%|███████▏ | 49913/70000 [17:39:48<7:02:30, 1.26s/step] Training: 71%|███████▏ | 49914/70000 [17:39:49<7:09:12, 1.28s/step] Training: 71%|███████▏ | 49915/70000 [17:39:51<7:16:51, 1.31s/step] Training: 71%|███████▏ | 49916/70000 [17:39:52<7:04:04, 1.27s/step] Training: 71%|███████▏ | 49917/70000 [17:39:53<7:10:21, 1.29s/step] Training: 71%|███████▏ | 49918/70000 [17:39:54<7:00:49, 1.26s/step] Training: 71%|███████▏ | 49919/70000 [17:39:56<7:10:39, 1.29s/step] Training: 71%|███████▏ | 49920/70000 [17:39:57<7:01:14, 1.26s/step] Training: 71%|███████▏ | 49921/70000 [17:39:58<7:06:58, 1.28s/step] Training: 71%|███████▏ | 49922/70000 [17:40:00<7:11:26, 1.29s/step] Training: 71%|███████▏ | 49923/70000 [17:40:01<7:19:32, 1.31s/step] Training: 71%|███████▏ | 49924/70000 [17:40:02<7:07:04, 1.28s/step] Training: 71%|███████▏ | 49925/70000 [17:40:04<7:11:46, 1.29s/step] Training: 71%|███████▏ | 49926/70000 [17:40:05<7:01:44, 1.26s/step] Training: 71%|███████▏ | 49927/70000 [17:40:06<7:08:22, 1.28s/step] Training: 71%|███████▏ | 49928/70000 [17:40:07<7:12:30, 1.29s/step] Training: 71%|███████▏ | 49929/70000 [17:40:09<7:02:09, 1.26s/step] Training: 71%|███████▏ | 49930/70000 [17:40:10<7:08:31, 1.28s/step] Training: 71%|███████▏ | 49931/70000 [17:40:11<7:16:10, 1.30s/step] Training: 71%|███████▏ | 49932/70000 [17:40:13<7:20:38, 1.32s/step] Training: 71%|███████▏ | 49933/70000 [17:40:14<7:10:46, 1.29s/step] Training: 71%|███████▏ | 49934/70000 [17:40:15<7:01:28, 1.26s/step] Training: 71%|███████▏ | 49935/70000 [17:40:16<6:58:12, 1.25s/step] Training: 71%|███████▏ | 49936/70000 [17:40:18<7:21:44, 1.32s/step] Training: 71%|███████▏ | 49937/70000 [17:40:19<7:08:28, 1.28s/step] Training: 71%|███████▏ | 49938/70000 [17:40:20<7:01:06, 1.26s/step] Training: 71%|███████▏ | 49939/70000 [17:40:21<7:11:06, 1.29s/step] Training: 71%|███████▏ | 49940/70000 [17:40:23<7:13:02, 1.30s/step] Training: 71%|███████▏ | 49941/70000 [17:40:24<7:02:54, 1.27s/step] Training: 71%|███████▏ | 49942/70000 [17:40:25<6:55:29, 1.24s/step] Training: 71%|███████▏ | 49943/70000 [17:40:26<6:51:44, 1.23s/step] Training: 71%|███████▏ | 49944/70000 [17:40:28<6:52:54, 1.24s/step] Training: 71%|███████▏ | 49945/70000 [17:40:29<6:48:20, 1.22s/step] Training: 71%|███████▏ | 49946/70000 [17:40:30<6:59:45, 1.26s/step] Training: 71%|███████▏ | 49947/70000 [17:40:31<7:07:00, 1.28s/step] Training: 71%|███████▏ | 49948/70000 [17:40:33<7:13:38, 1.30s/step] Training: 71%|███████▏ | 49949/70000 [17:40:34<7:15:28, 1.30s/step] Training: 71%|███████▏ | 49950/70000 [17:40:35<7:03:40, 1.27s/step] Training: 71%|███████▏ | 49951/70000 [17:40:37<7:14:43, 1.30s/step] Training: 71%|███████▏ | 49952/70000 [17:40:38<7:05:25, 1.27s/step] Training: 71%|███████▏ | 49953/70000 [17:40:39<6:57:02, 1.25s/step] Training: 71%|███████▏ | 49954/70000 [17:40:40<7:06:10, 1.28s/step] Training: 71%|███████▏ | 49955/70000 [17:40:42<7:00:44, 1.26s/step] Training: 71%|███████▏ | 49956/70000 [17:40:43<7:20:57, 1.32s/step] Training: 71%|███████▏ | 49957/70000 [17:40:44<7:20:48, 1.32s/step] Training: 71%|███████▏ | 49958/70000 [17:40:46<7:07:47, 1.28s/step] Training: 71%|███████▏ | 49959/70000 [17:40:47<7:12:25, 1.29s/step] Training: 71%|███████▏ | 49960/70000 [17:40:48<7:16:53, 1.31s/step] Training: 71%|███████▏ | 49961/70000 [17:40:49<7:04:51, 1.27s/step] Training: 71%|███████▏ | 49962/70000 [17:40:51<7:10:22, 1.29s/step] Training: 71%|███████▏ | 49963/70000 [17:40:52<7:13:34, 1.30s/step] Training: 71%|███████▏ | 49964/70000 [17:40:53<7:02:21, 1.26s/step] Training: 71%|███████▏ | 49965/70000 [17:40:55<7:09:30, 1.29s/step] Training: 71%|███████▏ | 49966/70000 [17:40:56<6:58:56, 1.25s/step] Training: 71%|███████▏ | 49967/70000 [17:40:57<7:09:58, 1.29s/step] Training: 71%|███████▏ | 49968/70000 [17:40:59<7:14:19, 1.30s/step] Training: 71%|███████▏ | 49969/70000 [17:41:00<7:03:10, 1.27s/step] Training: 71%|███████▏ | 49970/70000 [17:41:01<6:56:49, 1.25s/step] Training: 71%|███████▏ | 49971/70000 [17:41:02<7:06:48, 1.28s/step] Training: 71%|███████▏ | 49972/70000 [17:41:03<6:57:59, 1.25s/step] Training: 71%|███████▏ | 49973/70000 [17:41:05<7:07:09, 1.28s/step] Training: 71%|███████▏ | 49974/70000 [17:41:06<6:57:09, 1.25s/step] Training: 71%|███████▏ | 49975/70000 [17:41:07<7:06:45, 1.28s/step] Training: 71%|███████▏ | 49976/70000 [17:41:09<7:01:39, 1.26s/step] Training: 71%|███████▏ | 49977/70000 [17:41:10<6:53:33, 1.24s/step] Training: 71%|███████▏ | 49978/70000 [17:41:11<7:01:26, 1.26s/step] Training: 71%|███████▏ | 49979/70000 [17:41:12<7:07:58, 1.28s/step] Training: 71%|███████▏ | 49980/70000 [17:41:14<6:58:27, 1.25s/step] Training: 71%|███████▏ | 49981/70000 [17:41:15<7:17:04, 1.31s/step] Training: 71%|███████▏ | 49982/70000 [17:41:16<7:05:09, 1.27s/step] Training: 71%|███████▏ | 49983/70000 [17:41:18<7:16:11, 1.31s/step] Training: 71%|███████▏ | 49984/70000 [17:41:19<7:07:34, 1.28s/step] Training: 71%|███████▏ | 49985/70000 [17:41:20<6:58:07, 1.25s/step] Training: 71%|███████▏ | 49986/70000 [17:41:21<7:06:03, 1.28s/step] Training: 71%|███████▏ | 49987/70000 [17:41:23<7:01:03, 1.26s/step] Training: 71%|███████▏ | 49988/70000 [17:41:24<7:05:28, 1.28s/step] Training: 71%|███████▏ | 49989/70000 [17:41:25<7:14:17, 1.30s/step] Training: 71%|███████▏ | 49990/70000 [17:41:27<7:14:48, 1.30s/step] Training: 71%|███████▏ | 49991/70000 [17:41:28<7:16:49, 1.31s/step] Training: 71%|███████▏ | 49992/70000 [17:41:29<7:18:19, 1.31s/step] Training: 71%|███████▏ | 49993/70000 [17:41:30<7:05:35, 1.28s/step] Training: 71%|███████▏ | 49994/70000 [17:41:32<7:10:38, 1.29s/step] Training: 71%|███████▏ | 49995/70000 [17:41:33<7:02:46, 1.27s/step] Training: 71%|███████▏ | 49996/70000 [17:41:34<6:55:14, 1.25s/step] Training: 71%|███████▏ | 49997/70000 [17:41:35<6:54:49, 1.24s/step] Training: 71%|███████▏ | 49998/70000 [17:41:37<6:59:34, 1.26s/step] Training: 71%|███████▏ | 49999/70000 [17:41:38<7:10:25, 1.29s/step] Training: 71%|███████▏ | 50000/70000 [17:41:39<7:13:44, 1.30s/step]INFO 2026-03-13 13:51:31 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.38 loss:0.008 grdn:0.635 lr:5.5e-06 updt_s:1.254 data_s:0.019 INFO 2026-03-13 13:51:31 ot_train.py:455 Checkpoint policy after step 50000 [Avatar] Pushing checkpoint (step 50000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008... Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...12-2008/model.safetensors: 0%| | 2.80MB / 5.85GB  ...12-2008/model.safetensors: 0%| | 2.80MB / 5.85GB  Processing Files (0 / 1) : 0%| | 2.80MB / 5.85GB, ???B/s ...12-2008/model.safetensors: 0%| | 2.80MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 70.2MB / 5.85GB  Processing Files (0 / 1) : 1%| | 70.2MB / 5.85GB, 169MB/s New Data Upload : 96%|█████████▌| 64.2MB / 67.0MB, 161MB/s  ...12-2008/model.safetensors: 1%| | 72.7MB / 5.85GB  Processing Files (0 / 1) : 1%| | 72.7MB / 5.85GB, 117MB/s New Data Upload : 50%|████▉ | 66.7MB / 134MB, 111MB/s  ...12-2008/model.safetensors: 1%| | 72.7MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 72.7MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 73.1MB / 5.85GB  Processing Files (0 / 1) : 1%| | 73.1MB / 5.85GB, 58.6MB/s New Data Upload : 50%|████▉ | 67.0MB / 134MB, 55.9MB/s  ...12-2008/model.safetensors: 2%|▏ | 141MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 141MB / 5.85GB, 99.0MB/s New Data Upload : 67%|██████▋ | 134MB / 201MB, 95.6MB/s  ...12-2008/model.safetensors: 2%|▏ | 141MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 141MB / 5.85GB, 86.7MB/s ...12-2008/model.safetensors: 4%|▎ | 209MB / 5.85GB  Processing Files (0 / 1) : 4%|▎ | 209MB / 5.85GB, 115MB/s New Data Upload : 75%|███████▍ | 200MB / 268MB, 111MB/s  ...12-2008/model.safetensors: 4%|▎ | 209MB / 5.85GB  ...12-2008/model.safetensors: 4%|▍ | 229MB / 5.85GB  Processing Files (0 / 1) : 4%|▍ | 229MB / 5.85GB, 103MB/s New Data Upload : 82%|████████▏ | 220MB / 268MB, 99.9MB/s  ...12-2008/model.safetensors: 5%|▍ | 278MB / 5.85GB  Processing Files (0 / 1) : 5%|▍ | 278MB / 5.85GB, 115MB/s New Data Upload : 80%|███████▉ | 267MB / 335MB, 111MB/s  ...12-2008/model.safetensors: 6%|▌ | 347MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 347MB / 5.85GB, 132MB/s New Data Upload : 100%|█████████▉| 335MB / 335MB, 129MB/s  ...12-2008/model.safetensors: 6%|▌ | 347MB / 5.85GB  ...12-2008/model.safetensors: 7%|▋ | 416MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 416MB / 5.85GB, 138MB/s New Data Upload : 100%|█████████▉| 402MB / 402MB, 134MB/s  ...12-2008/model.safetensors: 7%|▋ | 416MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 416MB / 5.85GB, 129MB/s New Data Upload : 86%|████████▌ | 402MB / 469MB, 126MB/s  ...12-2008/model.safetensors: 8%|▊ | 485MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 485MB / 5.85GB, 142MB/s New Data Upload : 87%|████████▋ | 469MB / 536MB, 138MB/s  ...12-2008/model.safetensors: 8%|▊ | 486MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 486MB / 5.85GB, 134MB/s ...12-2008/model.safetensors: 9%|▉ | 555MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 555MB / 5.85GB, 145MB/s New Data Upload : 89%|████████▉ | 536MB / 603MB, 141MB/s  ...12-2008/model.safetensors: 11%|█ | 621MB / 5.85GB  Processing Files (0 / 1) : 11%|█ | 621MB / 5.85GB, 155MB/s New Data Upload : 100%|█████████▉| 601MB / 603MB, 150MB/s  ...12-2008/model.safetensors: 11%|█ | 624MB / 5.85GB  Processing Files (0 / 1) : 11%|█ | 624MB / 5.85GB, 148MB/s New Data Upload : 90%|████████▉ | 603MB / 670MB, 144MB/s  ...12-2008/model.safetensors: 12%|█▏ | 692MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 692MB / 5.85GB, 157MB/s New Data Upload : 100%|█████████▉| 670MB / 670MB, 152MB/s  ...12-2008/model.safetensors: 12%|█▏ | 693MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 693MB / 5.85GB, 150MB/s ...12-2008/model.safetensors: 13%|█▎ | 761MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 761MB / 5.85GB, 158MB/s New Data Upload : 92%|█████████▏| 736MB / 805MB, 153MB/s  ...12-2008/model.safetensors: 13%|█▎ | 763MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 763MB / 5.85GB, 152MB/s New Data Upload : 92%|█████████▏| 737MB / 805MB, 147MB/s  ...12-2008/model.safetensors: 14%|█▍ | 830MB / 5.85GB  Processing Files (0 / 1) : 14%|█▍ | 830MB / 5.85GB, 159MB/s New Data Upload : 92%|█████████▏| 803MB / 872MB, 155MB/s  ...12-2008/model.safetensors: 15%|█▌ | 878MB / 5.85GB  Processing Files (0 / 1) : 15%|█▌ | 878MB / 5.85GB, 162MB/s New Data Upload : 97%|█████████▋| 850MB / 872MB, 157MB/s  ...12-2008/model.safetensors: 15%|█▌ | 899MB / 5.85GB  Processing Files (0 / 1) : 15%|█▌ | 899MB / 5.85GB, 160MB/s New Data Upload : 93%|█████████▎| 870MB / 939MB, 155MB/s  ...12-2008/model.safetensors: 17%|█▋ | 968MB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 968MB / 5.85GB, 166MB/s New Data Upload : 100%|█████████▉| 937MB / 939MB, 162MB/s  ...12-2008/model.safetensors: 17%|█▋ | 968MB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 968MB / 5.85GB, 161MB/s New Data Upload : 93%|█████████▎| 937MB / 1.01GB, 156MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.04GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.04GB / 5.85GB, 167MB/s New Data Upload : 94%|█████████▎| 1.00GB / 1.07GB, 162MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.04GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.04GB / 5.85GB, 162MB/s New Data Upload : 94%|█████████▎| 1.00GB / 1.07GB, 157MB/s  ...12-2008/model.safetensors: 19%|█▉ | 1.11GB / 5.85GB  Processing Files (0 / 1) : 19%|█▉ | 1.11GB / 5.85GB, 167MB/s New Data Upload : 94%|█████████▍| 1.07GB / 1.14GB, 162MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.15GB / 5.85GB  Processing Files (0 / 1) : 20%|█▉ | 1.15GB / 5.85GB, 168MB/s New Data Upload : 98%|█████████▊| 1.11GB / 1.14GB, 164MB/s  ...12-2008/model.safetensors: 20%|██ | 1.17GB / 5.85GB  Processing Files (0 / 1) : 20%|██ | 1.17GB / 5.85GB, 167MB/s New Data Upload : 94%|█████████▍| 1.14GB / 1.21GB, 163MB/s  ...12-2008/model.safetensors: 21%|██ | 1.24GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.24GB / 5.85GB, 172MB/s New Data Upload : 100%|█████████▉| 1.21GB / 1.21GB, 167MB/s  ...12-2008/model.safetensors: 21%|██ | 1.24GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.24GB / 5.85GB, 167MB/s New Data Upload : 95%|█████████▍| 1.21GB / 1.27GB, 163MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.31GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.31GB / 5.85GB, 172MB/s New Data Upload : 100%|█████████▉| 1.27GB / 1.27GB, 168MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.31GB / 5.85GB  ...12-2008/model.safetensors: 24%|██▎ | 1.38GB / 5.85GB  Processing Files (0 / 1) : 24%|██▎ | 1.38GB / 5.85GB, 172MB/s New Data Upload : 95%|█████████▌| 1.34GB / 1.41GB, 168MB/s  ...12-2008/model.safetensors: 24%|██▍ | 1.41GB / 5.85GB  Processing Files (0 / 1) : 24%|██▍ | 1.41GB / 5.85GB, 172MB/s New Data Upload : 98%|█████████▊| 1.37GB / 1.41GB, 168MB/s  ...12-2008/model.safetensors: 25%|██▍ | 1.44GB / 5.85GB  Processing Files (0 / 1) : 25%|██▍ | 1.44GB / 5.85GB, 171MB/s New Data Upload : 95%|█████████▌| 1.41GB / 1.48GB, 168MB/s  ...12-2008/model.safetensors: 26%|██▌ | 1.51GB / 5.85GB  Processing Files (0 / 1) : 26%|██▌ | 1.51GB / 5.85GB, 175MB/s New Data Upload : 100%|█████████▉| 1.47GB / 1.48GB, 171MB/s  ...12-2008/model.safetensors: 26%|██▌ | 1.51GB / 5.85GB  Processing Files (0 / 1) : 26%|██▌ | 1.51GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.47GB / 1.54GB, 167MB/s  ...12-2008/model.safetensors: 27%|██▋ | 1.58GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.58GB / 5.85GB, 175MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 171MB/s  ...12-2008/model.safetensors: 27%|██▋ | 1.58GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.58GB / 5.85GB, 171MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 168MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.64GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.64GB / 5.85GB, 175MB/s New Data Upload : 96%|█████████▌| 1.61GB / 1.68GB, 171MB/s  ...12-2008/model.safetensors: 29%|██▉ | 1.71GB / 5.85GB  Processing Files (0 / 1) : 29%|██▉ | 1.71GB / 5.85GB, 178MB/s New Data Upload : 100%|█████████▉| 1.67GB / 1.68GB, 174MB/s  ...12-2008/model.safetensors: 29%|██▉ | 1.71GB / 5.85GB  Processing Files (0 / 1) : 29%|██▉ | 1.71GB / 5.85GB, 174MB/s New Data Upload : 96%|█████████▌| 1.68GB / 1.74GB, 171MB/s  ...12-2008/model.safetensors: 30%|███ | 1.78GB / 5.85GB  Processing Files (0 / 1) : 30%|███ | 1.78GB / 5.85GB, 178MB/s New Data Upload : 100%|█████████▉| 1.74GB / 1.74GB, 174MB/s  ...12-2008/model.safetensors: 30%|███ | 1.78GB / 5.85GB  Processing Files (0 / 1) : 30%|███ | 1.78GB / 5.85GB, 174MB/s New Data Upload : 96%|█████████▋| 1.74GB / 1.81GB, 171MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.84GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.84GB / 5.85GB, 181MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 177MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.84GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.84GB / 5.85GB, 174MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 171MB/s  ...12-2008/model.safetensors: 33%|███▎ | 1.91GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.91GB / 5.85GB, 180MB/s New Data Upload : 96%|█████████▋| 1.88GB / 1.94GB, 177MB/s  ...12-2008/model.safetensors: 34%|███▎ | 1.96GB / 5.85GB  Processing Files (0 / 1) : 34%|███▎ | 1.96GB / 5.85GB, 185MB/s New Data Upload : 99%|█████████▉| 1.93GB / 1.94GB, 182MB/s  ...12-2008/model.safetensors: 34%|███▍ | 1.98GB / 5.85GB  Processing Files (0 / 1) : 34%|███▍ | 1.98GB / 5.85GB, 187MB/s New Data Upload : 97%|█████████▋| 1.94GB / 2.01GB, 184MB/s  ...12-2008/model.safetensors: 35%|███▍ | 2.05GB / 5.85GB  Processing Files (0 / 1) : 35%|███▍ | 2.05GB / 5.85GB, 193MB/s New Data Upload : 100%|█████████▉| 2.01GB / 2.01GB, 191MB/s  ...12-2008/model.safetensors: 35%|███▍ | 2.05GB / 5.85GB  ...12-2008/model.safetensors: 36%|███▌ | 2.11GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.11GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 191MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.12GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.12GB / 5.85GB, 187MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 185MB/s  ...12-2008/model.safetensors: 37%|███▋ | 2.18GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.18GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.14GB / 2.21GB, 191MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.25GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.25GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 2.21GB / 2.21GB, 195MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.25GB / 5.85GB  ...12-2008/model.safetensors: 40%|███▉ | 2.31GB / 5.85GB  Processing Files (0 / 1) : 40%|███▉ | 2.31GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 191MB/s  ...12-2008/model.safetensors: 40%|███▉ | 2.31GB / 5.85GB  Processing Files (0 / 1) : 40%|███▉ | 2.31GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 191MB/s  ...12-2008/model.safetensors: 41%|████ | 2.38GB / 5.85GB  Processing Files (0 / 1) : 41%|████ | 2.38GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.35GB / 2.41GB, 191MB/s  ...12-2008/model.safetensors: 41%|████ | 2.41GB / 5.85GB  Processing Files (0 / 1) : 41%|████ | 2.41GB / 5.85GB, 196MB/s New Data Upload : 98%|█████████▊| 2.38GB / 2.41GB, 194MB/s  ...12-2008/model.safetensors: 42%|████▏ | 2.45GB / 5.85GB  Processing Files (0 / 1) : 42%|████▏ | 2.45GB / 5.85GB, 192MB/s New Data Upload : 97%|█████████▋| 2.41GB / 2.48GB, 191MB/s  ...12-2008/model.safetensors: 43%|████▎ | 2.51GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.51GB / 5.85GB, 199MB/s New Data Upload : 100%|█████████▉| 2.48GB / 2.48GB, 197MB/s  ...12-2008/model.safetensors: 43%|████▎ | 2.52GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.52GB / 5.85GB, 192MB/s New Data Upload : 97%|█████████▋| 2.48GB / 2.55GB, 191MB/s  ...12-2008/model.safetensors: 44%|████▍ | 2.58GB / 5.85GB  Processing Files (0 / 1) : 44%|████▍ | 2.58GB / 5.85GB, 192MB/s New Data Upload : 97%|█████████▋| 2.55GB / 2.62GB, 191MB/s  ...12-2008/model.safetensors: 44%|████▍ | 2.58GB / 5.85GB  ...12-2008/model.safetensors: 45%|████▌ | 2.65GB / 5.85GB  Processing Files (0 / 1) : 45%|████▌ | 2.65GB / 5.85GB, 192MB/s New Data Upload : 97%|█████████▋| 2.61GB / 2.68GB, 191MB/s  ...12-2008/model.safetensors: 46%|████▋ | 2.72GB / 5.85GB  Processing Files (0 / 1) : 46%|████▋ | 2.72GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 2.68GB / 2.68GB, 197MB/s  ...12-2008/model.safetensors: 46%|████▋ | 2.72GB / 5.85GB  Processing Files (0 / 1) : 46%|████▋ | 2.72GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 2.68GB / 2.75GB, 191MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.78GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.78GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 2.75GB / 2.75GB, 197MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.78GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.78GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 2.75GB / 2.82GB, 191MB/s  ...12-2008/model.safetensors: 49%|████▊ | 2.85GB / 5.85GB  Processing Files (0 / 1) : 49%|████▊ | 2.85GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 2.82GB / 2.88GB, 193MB/s  ...12-2008/model.safetensors: 49%|████▉ | 2.86GB / 5.85GB  Processing Files (0 / 1) : 49%|████▉ | 2.86GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 2.83GB / 2.88GB, 192MB/s  ...12-2008/model.safetensors: 50%|████▉ | 2.92GB / 5.85GB  Processing Files (0 / 1) : 50%|████▉ | 2.92GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.88GB / 2.95GB, 191MB/s  ...12-2008/model.safetensors: 51%|█████ | 2.98GB / 5.85GB  Processing Files (0 / 1) : 51%|█████ | 2.98GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 2.95GB / 2.95GB, 197MB/s  ...12-2008/model.safetensors: 51%|█████ | 2.99GB / 5.85GB  Processing Files (0 / 1) : 51%|█████ | 2.99GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.95GB / 3.02GB, 191MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.05GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.05GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.02GB / 3.08GB, 197MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.05GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.05GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.02GB / 3.08GB, 191MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.12GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.12GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 3.08GB / 3.15GB, 193MB/s  ...12-2008/model.safetensors: 54%|█████▎ | 3.14GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▎ | 3.14GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 3.10GB / 3.15GB, 193MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.19GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▍ | 3.19GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.15GB / 3.22GB, 191MB/s  ...12-2008/model.safetensors: 56%|█████▌ | 3.25GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▌ | 3.25GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.22GB / 3.22GB, 197MB/s  ...12-2008/model.safetensors: 56%|█████▌ | 3.25GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▌ | 3.25GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.22GB / 3.29GB, 191MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.32GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.32GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.28GB / 3.35GB, 197MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.32GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.32GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.28GB / 3.35GB, 191MB/s  ...12-2008/model.safetensors: 58%|█████▊ | 3.39GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.39GB / 5.85GB, 194MB/s New Data Upload : 98%|█████████▊| 3.35GB / 3.42GB, 194MB/s  ...12-2008/model.safetensors: 59%|█████▉ | 3.44GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▉ | 3.44GB / 5.85GB, 196MB/s New Data Upload : 99%|█████████▉| 3.40GB / 3.42GB, 196MB/s  ...12-2008/model.safetensors: 59%|█████▉ | 3.45GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▉ | 3.45GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.42GB / 3.49GB, 191MB/s  ...12-2008/model.safetensors: 60%|██████ | 3.52GB / 5.85GB  Processing Files (0 / 1) : 60%|██████ | 3.52GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.49GB / 3.49GB, 197MB/s  ...12-2008/model.safetensors: 60%|██████ | 3.52GB / 5.85GB  Processing Files (0 / 1) : 60%|██████ | 3.52GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.49GB / 3.55GB, 191MB/s  ...12-2008/model.safetensors: 61%|██████▏ | 3.59GB / 5.85GB  Processing Files (0 / 1) : 61%|██████▏ | 3.59GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.55GB / 3.55GB, 197MB/s  ...12-2008/model.safetensors: 61%|██████▏ | 3.59GB / 5.85GB  ...12-2008/model.safetensors: 63%|██████▎ | 3.66GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.66GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.62GB / 3.69GB, 191MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.69GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.69GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 3.65GB / 3.69GB, 194MB/s  ...12-2008/model.safetensors: 64%|██████▎ | 3.72GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▎ | 3.72GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.69GB / 3.76GB, 191MB/s  ...12-2008/model.safetensors: 65%|██████▍ | 3.79GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▍ | 3.79GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.75GB / 3.76GB, 197MB/s  ...12-2008/model.safetensors: 65%|██████▍ | 3.79GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▍ | 3.79GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.75GB / 3.82GB, 191MB/s  ...12-2008/model.safetensors: 66%|██████▌ | 3.86GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▌ | 3.86GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.82GB / 3.89GB, 197MB/s  ...12-2008/model.safetensors: 66%|██████▌ | 3.86GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▌ | 3.86GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.82GB / 3.89GB, 191MB/s  ...12-2008/model.safetensors: 67%|██████▋ | 3.92GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.92GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 3.89GB / 3.96GB, 192MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.99GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.99GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.96GB / 3.96GB, 197MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.99GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.99GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.96GB / 4.02GB, 191MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.06GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.06GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 197MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.06GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.06GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 191MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.13GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.13GB / 5.85GB, 196MB/s New Data Upload : 98%|█████████▊| 4.09GB / 4.16GB, 196MB/s  ...12-2008/model.safetensors: 71%|███████ | 4.13GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.13GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▊| 4.10GB / 4.16GB, 192MB/s  ...12-2008/model.safetensors: 72%|███████▏ | 4.19GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.19GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.22GB, 191MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.26GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.26GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.22GB / 4.22GB, 197MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.26GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.26GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.22GB / 4.29GB, 191MB/s  ...12-2008/model.safetensors: 74%|███████▍ | 4.33GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.33GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 197MB/s  ...12-2008/model.safetensors: 74%|███████▍ | 4.33GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.33GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 191MB/s  ...12-2008/model.safetensors: 75%|███████▌ | 4.39GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▌ | 4.39GB / 5.85GB, 194MB/s New Data Upload : 98%|█████████▊| 4.36GB / 4.43GB, 194MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.43GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.43GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 4.40GB / 4.43GB, 195MB/s  ...12-2008/model.safetensors: 76%|███████▋ | 4.46GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▋ | 4.46GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.43GB / 4.49GB, 191MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.53GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.53GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.49GB / 4.49GB, 197MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.53GB / 5.85GB  ...12-2008/model.safetensors: 79%|███████▊ | 4.59GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▊ | 4.59GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.56GB / 4.63GB, 197MB/s  ...12-2008/model.safetensors: 79%|███████▊ | 4.59GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▊ | 4.59GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.56GB / 4.63GB, 191MB/s  ...12-2008/model.safetensors: 80%|███████▉ | 4.66GB / 5.85GB  Processing Files (0 / 1) : 80%|███████▉ | 4.66GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.63GB / 4.69GB, 191MB/s  ...12-2008/model.safetensors: 81%|████████ | 4.72GB / 5.85GB  Processing Files (0 / 1) : 81%|████████ | 4.72GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.69GB / 4.69GB, 197MB/s  ...12-2008/model.safetensors: 81%|████████ | 4.73GB / 5.85GB  Processing Files (0 / 1) : 81%|████████ | 4.73GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 191MB/s  ...12-2008/model.safetensors: 82%|████████▏ | 4.80GB / 5.85GB  Processing Files (0 / 1) : 82%|████████▏ | 4.80GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.76GB / 4.83GB, 197MB/s  ...12-2008/model.safetensors: 82%|████████▏ | 4.80GB / 5.85GB  ...12-2008/model.safetensors: 83%|████████▎ | 4.86GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.86GB / 5.85GB, 196MB/s New Data Upload : 99%|█████████▊| 4.83GB / 4.90GB, 196MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.86GB / 5.85GB  ...12-2008/model.safetensors: 84%|████████▍ | 4.93GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▍ | 4.93GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.90GB / 4.96GB, 191MB/s  ...12-2008/model.safetensors: 85%|████████▌ | 5.00GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▌ | 5.00GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.96GB / 4.96GB, 197MB/s  ...12-2008/model.safetensors: 85%|████████▌ | 5.00GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▌ | 5.00GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.96GB / 5.03GB, 191MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.06GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.06GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.03GB / 5.10GB, 197MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.06GB / 5.85GB  ...12-2008/model.safetensors: 88%|████████▊ | 5.13GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.13GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 195MB/s  ...12-2008/model.safetensors: 89%|████████▉ | 5.19GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▉ | 5.19GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.16GB / 5.16GB, 197MB/s  ...12-2008/model.safetensors: 89%|████████▉ | 5.20GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▉ | 5.20GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.16GB / 5.23GB, 191MB/s  ...12-2008/model.safetensors: 90%|█████████ | 5.26GB / 5.85GB  Processing Files (0 / 1) : 90%|█████████ | 5.26GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.23GB / 5.23GB, 197MB/s  ...12-2008/model.safetensors: 90%|█████████ | 5.26GB / 5.85GB  ...12-2008/model.safetensors: 91%|█████████ | 5.33GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.33GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.30GB / 5.30GB, 197MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.33GB / 5.85GB  ...12-2008/model.safetensors: 92%|█████████▏| 5.40GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.40GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▊| 5.36GB / 5.43GB, 192MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.40GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.40GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.36GB / 5.43GB, 191MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.47GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.47GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.43GB / 5.50GB, 191MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.47GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.47GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.43GB / 5.50GB, 191MB/s  ...12-2008/model.safetensors: 95%|█████████▍| 5.53GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▍| 5.53GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.50GB / 5.57GB, 191MB/s  ...12-2008/model.safetensors: 95%|█████████▍| 5.54GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▍| 5.54GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.50GB / 5.57GB, 191MB/s  ...12-2008/model.safetensors: 96%|█████████▌| 5.60GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▌| 5.60GB / 5.85GB, 190MB/s New Data Upload : 99%|█████████▉| 5.56GB / 5.63GB, 190MB/s  ...12-2008/model.safetensors: 96%|█████████▋| 5.64GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▋| 5.64GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.60GB / 5.63GB, 191MB/s  ...12-2008/model.safetensors: 97%|█████████▋| 5.67GB / 5.85GB  Processing Files (0 / 1) : 97%|█████████▋| 5.67GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.63GB / 5.70GB, 191MB/s  ...12-2008/model.safetensors: 98%|█████████▊| 5.73GB / 5.85GB  Processing Files (0 / 1) : 98%|█████████▊| 5.73GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.70GB / 5.70GB, 191MB/s  ...12-2008/model.safetensors: 98%|█████████▊| 5.73GB / 5.85GB  ...12-2008/model.safetensors: 99%|█████████▉| 5.80GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▉| 5.80GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.77GB / 5.77GB, 191MB/s  ...12-2008/model.safetensors: 99%|█████████▉| 5.80GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▉| 5.80GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.77GB / 5.81GB, 191MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 189MB/s New Data Upload : 100%|█████████▉| 5.81GB / 5.81GB, 189MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 182MB/s New Data Upload : 100%|█████████▉| 5.81GB / 5.81GB, 182MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 175MB/s New Data Upload : 100%|█████████▉| 5.81GB / 5.81GB, 175MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 168MB/s New Data Upload : 100%|██████████| 5.81GB / 5.81GB, 168MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 146MB/s New Data Upload : 100%|██████████| 5.81GB / 5.81GB, 146MB/s ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB INFO 2026-03-13 13:52:28 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 13:52:29 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 13:52:29 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. [Avatar] Pushed checkpoint (step 50000) OK [Avatar] Tagged as 'step-50000' Training: 71%|███████▏ | 50001/70000 [17:42:39<104:19:53, 18.78s/step] Training: 71%|███████▏ | 50002/70000 [17:42:40<75:02:52, 13.51s/step] Training: 71%|███████▏ | 50003/70000 [17:42:41<54:48:42, 9.87s/step] Training: 71%|███████▏ | 50004/70000 [17:42:43<40:20:08, 7.26s/step] Training: 71%|███████▏ | 50005/70000 [17:42:44<30:30:27, 5.49s/step] Training: 71%|███████▏ | 50006/70000 [17:42:45<23:18:54, 4.20s/step] Training: 71%|███████▏ | 50007/70000 [17:42:47<18:32:59, 3.34s/step] Training: 71%|███████▏ | 50008/70000 [17:42:48<15:03:33, 2.71s/step] Training: 71%|███████▏ | 50009/70000 [17:42:49<12:30:59, 2.25s/step] Training: 71%|███████▏ | 50010/70000 [17:42:50<10:57:54, 1.97s/step] Training: 71%|███████▏ | 50011/70000 [17:42:52<9:52:00, 1.78s/step] Training: 71%|███████▏ | 50012/70000 [17:42:53<8:52:45, 1.60s/step] Training: 71%|███████▏ | 50013/70000 [17:42:54<8:11:27, 1.48s/step] Training: 71%|███████▏ | 50014/70000 [17:42:55<7:57:42, 1.43s/step] Training: 71%|███████▏ | 50015/70000 [17:42:57<7:50:09, 1.41s/step] Training: 71%|███████▏ | 50016/70000 [17:42:58<7:32:02, 1.36s/step] Training: 71%|███████▏ | 50017/70000 [17:42:59<7:14:46, 1.31s/step] Training: 71%|███████▏ | 50018/70000 [17:43:00<7:16:29, 1.31s/step] Training: 71%|███████▏ | 50019/70000 [17:43:02<7:22:18, 1.33s/step] Training: 71%|███████▏ | 50020/70000 [17:43:03<7:07:58, 1.29s/step] Training: 71%|███████▏ | 50021/70000 [17:43:04<6:58:33, 1.26s/step] Training: 71%|███████▏ | 50022/70000 [17:43:06<7:14:08, 1.30s/step] Training: 71%|███████▏ | 50023/70000 [17:43:07<7:18:48, 1.32s/step] Training: 71%|███████▏ | 50024/70000 [17:43:08<7:07:20, 1.28s/step] Training: 71%|███████▏ | 50025/70000 [17:43:09<7:11:15, 1.30s/step] Training: 71%|███████▏ | 50026/70000 [17:43:11<7:13:37, 1.30s/step] Training: 71%|███████▏ | 50027/70000 [17:43:12<7:15:51, 1.31s/step] Training: 71%|███████▏ | 50028/70000 [17:43:13<7:03:52, 1.27s/step] Training: 71%|███████▏ | 50029/70000 [17:43:14<6:55:18, 1.25s/step] Training: 71%|███████▏ | 50030/70000 [17:43:16<6:54:25, 1.25s/step] Training: 71%|███████▏ | 50031/70000 [17:43:17<7:07:32, 1.28s/step] Training: 71%|███████▏ | 50032/70000 [17:43:18<7:12:18, 1.30s/step] Training: 71%|███████▏ | 50033/70000 [17:43:20<7:01:08, 1.27s/step] Training: 71%|███████▏ | 50034/70000 [17:43:21<6:54:46, 1.25s/step] Training: 71%|███████▏ | 50035/70000 [17:43:22<7:04:58, 1.28s/step] Training: 71%|███████▏ | 50036/70000 [17:43:23<6:56:03, 1.25s/step] Training: 71%|███████▏ | 50037/70000 [17:43:25<6:49:59, 1.23s/step] Training: 71%|███████▏ | 50038/70000 [17:43:26<6:58:58, 1.26s/step] Training: 71%|███████▏ | 50039/70000 [17:43:27<7:05:30, 1.28s/step] Training: 71%|███████▏ | 50040/70000 [17:43:28<6:58:23, 1.26s/step] Training: 71%|███████▏ | 50041/70000 [17:43:30<6:52:04, 1.24s/step] Training: 71%|███████▏ | 50042/70000 [17:43:31<7:00:11, 1.26s/step] Training: 71%|███████▏ | 50043/70000 [17:43:32<7:06:14, 1.28s/step] Training: 71%|███████▏ | 50044/70000 [17:43:33<6:56:45, 1.25s/step] Training: 71%|███████▏ | 50045/70000 [17:43:35<6:50:48, 1.24s/step] Training: 71%|███████▏ | 50046/70000 [17:43:36<7:00:14, 1.26s/step] Training: 71%|███████▏ | 50047/70000 [17:43:37<7:20:46, 1.33s/step] Training: 71%|███████▏ | 50048/70000 [17:43:39<7:12:06, 1.30s/step] Training: 71%|███████▏ | 50049/70000 [17:43:40<7:01:18, 1.27s/step] Training: 72%|███████▏ | 50050/70000 [17:43:41<7:07:11, 1.28s/step] Training: 72%|███████▏ | 50051/70000 [17:43:42<7:01:36, 1.27s/step] Training: 72%|███████▏ | 50052/70000 [17:43:44<7:06:02, 1.28s/step] Training: 72%|███████▏ | 50053/70000 [17:43:45<6:58:17, 1.26s/step] Training: 72%|███████▏ | 50054/70000 [17:43:46<7:08:46, 1.29s/step] Training: 72%|███████▏ | 50055/70000 [17:43:48<7:11:20, 1.30s/step] Training: 72%|███████▏ | 50056/70000 [17:43:49<7:15:19, 1.31s/step] Training: 72%|███████▏ | 50057/70000 [17:43:50<7:15:03, 1.31s/step] Training: 72%|███████▏ | 50058/70000 [17:43:52<7:17:46, 1.32s/step] Training: 72%|███████▏ | 50059/70000 [17:43:53<7:19:13, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=25953 Training: 72%|███████▏ | 50060/70000 [17:43:54<7:06:20, 1.28s/step] Training: 72%|███████▏ | 50061/70000 [17:43:55<6:57:03, 1.26s/step] Training: 72%|███████▏ | 50062/70000 [17:43:56<6:52:29, 1.24s/step] Training: 72%|███████▏ | 50063/70000 [17:43:58<7:00:58, 1.27s/step] Training: 72%|███████▏ | 50064/70000 [17:43:59<7:18:50, 1.32s/step] Training: 72%|███████▏ | 50065/70000 [17:44:00<7:05:35, 1.28s/step] Training: 72%|███████▏ | 50066/70000 [17:44:02<6:58:14, 1.26s/step] Training: 72%|███████▏ | 50067/70000 [17:44:03<7:07:06, 1.29s/step] Training: 72%|███████▏ | 50068/70000 [17:44:04<6:57:11, 1.26s/step] Training: 72%|███████▏ | 50069/70000 [17:44:05<6:50:21, 1.24s/step] Training: 72%|███████▏ | 50070/70000 [17:44:07<7:00:04, 1.26s/step] Training: 72%|███████▏ | 50071/70000 [17:44:08<7:09:07, 1.29s/step] Training: 72%|███████▏ | 50072/70000 [17:44:09<7:00:34, 1.27s/step] Training: 72%|███████▏ | 50073/70000 [17:44:10<6:52:46, 1.24s/step] Training: 72%|███████▏ | 50074/70000 [17:44:12<7:01:23, 1.27s/step] Training: 72%|███████▏ | 50075/70000 [17:44:13<7:07:12, 1.29s/step] Training: 72%|███████▏ | 50076/70000 [17:44:14<6:57:56, 1.26s/step] Training: 72%|███████▏ | 50077/70000 [17:44:16<6:50:33, 1.24s/step] Training: 72%|███████▏ | 50078/70000 [17:44:17<6:58:46, 1.26s/step] Training: 72%|███████▏ | 50079/70000 [17:44:18<6:56:10, 1.25s/step] Training: 72%|███████▏ | 50080/70000 [17:44:19<7:04:53, 1.28s/step] Training: 72%|███████▏ | 50081/70000 [17:44:21<6:55:11, 1.25s/step] Training: 72%|███████▏ | 50082/70000 [17:44:22<7:02:30, 1.27s/step] Training: 72%|███████▏ | 50083/70000 [17:44:23<6:57:11, 1.26s/step] Training: 72%|███████▏ | 50084/70000 [17:44:24<7:02:08, 1.27s/step] Training: 72%|███████▏ | 50085/70000 [17:44:26<6:54:21, 1.25s/step] Training: 72%|███████▏ | 50086/70000 [17:44:27<7:02:40, 1.27s/step] Training: 72%|███████▏ | 50087/70000 [17:44:28<6:55:58, 1.25s/step] Training: 72%|███████▏ | 50088/70000 [17:44:30<7:16:22, 1.31s/step] Training: 72%|███████▏ | 50089/70000 [17:44:31<7:03:37, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=54065 Training: 72%|███████▏ | 50090/70000 [17:44:32<7:07:59, 1.29s/step] Training: 72%|███████▏ | 50091/70000 [17:44:33<7:11:24, 1.30s/step] Training: 72%|███████▏ | 50092/70000 [17:44:35<7:00:30, 1.27s/step] Training: 72%|███████▏ | 50093/70000 [17:44:36<6:52:14, 1.24s/step] Training: 72%|███████▏ | 50094/70000 [17:44:37<6:49:17, 1.23s/step] Training: 72%|███████▏ | 50095/70000 [17:44:38<6:59:40, 1.27s/step] Training: 72%|███████▏ | 50096/70000 [17:44:40<7:06:03, 1.28s/step] Training: 72%|███████▏ | 50097/70000 [17:44:41<6:56:36, 1.26s/step] Training: 72%|███████▏ | 50098/70000 [17:44:42<6:51:05, 1.24s/step] Training: 72%|███████▏ | 50099/70000 [17:44:43<7:02:23, 1.27s/step] Training: 72%|███████▏ | 50100/70000 [17:44:45<6:54:06, 1.25s/step]INFO 2026-03-13 13:54:37 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.46 loss:0.008 grdn:4.421 lr:5.5e-06 updt_s:1.249 data_s:0.019 Training: 72%|███████▏ | 50101/70000 [17:44:46<6:48:34, 1.23s/step] Training: 72%|███████▏ | 50102/70000 [17:44:47<6:57:46, 1.26s/step] Training: 72%|███████▏ | 50103/70000 [17:44:49<7:06:26, 1.29s/step] Training: 72%|███████▏ | 50104/70000 [17:44:50<7:16:03, 1.32s/step] Training: 72%|███████▏ | 50105/70000 [17:44:51<7:03:05, 1.28s/step] Training: 72%|███████▏ | 50106/70000 [17:44:52<7:08:39, 1.29s/step] Training: 72%|███████▏ | 50107/70000 [17:44:54<7:12:03, 1.30s/step] Training: 72%|███████▏ | 50108/70000 [17:44:55<7:00:55, 1.27s/step] Training: 72%|███████▏ | 50109/70000 [17:44:56<6:53:08, 1.25s/step] Training: 72%|███████▏ | 50110/70000 [17:44:57<7:01:17, 1.27s/step] Training: 72%|███████▏ | 50111/70000 [17:44:59<6:59:53, 1.27s/step] Training: 72%|███████▏ | 50112/70000 [17:45:00<7:06:07, 1.29s/step] Training: 72%|███████▏ | 50113/70000 [17:45:01<6:56:39, 1.26s/step] Training: 72%|███████▏ | 50114/70000 [17:45:03<7:02:55, 1.28s/step] Training: 72%|███████▏ | 50115/70000 [17:45:04<6:58:36, 1.26s/step] Training: 72%|███████▏ | 50116/70000 [17:45:05<7:04:08, 1.28s/step] Training: 72%|███████▏ | 50117/70000 [17:45:06<6:55:35, 1.25s/step] Training: 72%|███████▏ | 50118/70000 [17:45:08<7:03:07, 1.28s/step] Training: 72%|███████▏ | 50119/70000 [17:45:09<6:55:18, 1.25s/step] Training: 72%|███████▏ | 50120/70000 [17:45:10<6:52:36, 1.25s/step] Training: 72%|███████▏ | 50121/70000 [17:45:11<7:03:36, 1.28s/step] Training: 72%|███████▏ | 50122/70000 [17:45:13<7:07:33, 1.29s/step] Training: 72%|███████▏ | 50123/70000 [17:45:14<6:59:03, 1.26s/step] Training: 72%|███████▏ | 50124/70000 [17:45:15<6:51:30, 1.24s/step] Training: 72%|███████▏ | 50125/70000 [17:45:16<6:46:16, 1.23s/step] Training: 72%|███████▏ | 50126/70000 [17:45:18<6:44:54, 1.22s/step] Training: 72%|███████▏ | 50127/70000 [17:45:19<6:55:56, 1.26s/step] Training: 72%|███████▏ | 50128/70000 [17:45:20<7:02:59, 1.28s/step] Training: 72%|███████▏ | 50129/70000 [17:45:21<7:04:20, 1.28s/step] Training: 72%|███████▏ | 50130/70000 [17:45:23<6:57:40, 1.26s/step] Training: 72%|███████▏ | 50131/70000 [17:45:24<7:07:20, 1.29s/step] Training: 72%|███████▏ | 50132/70000 [17:45:25<6:57:36, 1.26s/step] Training: 72%|███████▏ | 50133/70000 [17:45:26<6:50:24, 1.24s/step] Training: 72%|███████▏ | 50134/70000 [17:45:28<7:00:42, 1.27s/step] Training: 72%|███████▏ | 50135/70000 [17:45:29<7:07:18, 1.29s/step] Training: 72%|███████▏ | 50136/70000 [17:45:30<7:12:11, 1.31s/step] Training: 72%|███████▏ | 50137/70000 [17:45:32<7:05:18, 1.28s/step] Training: 72%|███████▏ | 50138/70000 [17:45:33<7:09:25, 1.30s/step] Training: 72%|███████▏ | 50139/70000 [17:45:34<7:11:59, 1.31s/step] Training: 72%|███████▏ | 50140/70000 [17:45:36<7:00:22, 1.27s/step] Training: 72%|███████▏ | 50141/70000 [17:45:37<6:52:17, 1.25s/step] Training: 72%|███████▏ | 50142/70000 [17:45:38<7:01:51, 1.27s/step] Training: 72%|███████▏ | 50143/70000 [17:45:39<6:59:49, 1.27s/step] Training: 72%|███████▏ | 50144/70000 [17:45:41<7:05:32, 1.29s/step] Training: 72%|███████▏ | 50145/70000 [17:45:42<6:55:55, 1.26s/step] Training: 72%|███████▏ | 50146/70000 [17:45:43<7:10:47, 1.30s/step] Training: 72%|███████▏ | 50147/70000 [17:45:45<7:17:56, 1.32s/step] Training: 72%|███████▏ | 50148/70000 [17:45:46<7:04:31, 1.28s/step] Training: 72%|███████▏ | 50149/70000 [17:45:47<6:55:15, 1.26s/step] Training: 72%|███████▏ | 50150/70000 [17:45:48<7:02:26, 1.28s/step] Training: 72%|███████▏ | 50151/70000 [17:45:50<6:56:14, 1.26s/step] Training: 72%|███████▏ | 50152/70000 [17:45:51<6:54:00, 1.25s/step] Training: 72%|███████▏ | 50153/70000 [17:45:52<7:00:00, 1.27s/step] Training: 72%|███████▏ | 50154/70000 [17:45:53<7:04:34, 1.28s/step] Training: 72%|███████▏ | 50155/70000 [17:45:55<6:56:29, 1.26s/step] Training: 72%|███████▏ | 50156/70000 [17:45:56<7:04:06, 1.28s/step] Training: 72%|███████▏ | 50157/70000 [17:45:57<6:54:55, 1.25s/step] Training: 72%|███████▏ | 50158/70000 [17:45:58<6:52:10, 1.25s/step] Training: 72%|███████▏ | 50159/70000 [17:46:00<7:00:55, 1.27s/step] Training: 72%|███████▏ | 50160/70000 [17:46:01<7:06:35, 1.29s/step] Training: 72%|███████▏ | 50161/70000 [17:46:02<6:56:41, 1.26s/step] Training: 72%|███████▏ | 50162/70000 [17:46:04<7:07:30, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=17064 Training: 72%|███████▏ | 50163/70000 [17:46:05<7:10:13, 1.30s/step] Training: 72%|███████▏ | 50164/70000 [17:46:06<7:09:15, 1.30s/step] Training: 72%|███████▏ | 50165/70000 [17:46:07<6:58:24, 1.27s/step] Training: 72%|███████▏ | 50166/70000 [17:46:09<7:05:11, 1.29s/step] Training: 72%|███████▏ | 50167/70000 [17:46:10<7:09:28, 1.30s/step] Training: 72%|███████▏ | 50168/70000 [17:46:11<7:13:12, 1.31s/step] Training: 72%|███████▏ | 50169/70000 [17:46:13<7:01:02, 1.27s/step] Training: 72%|███████▏ | 50170/70000 [17:46:14<7:05:47, 1.29s/step] Training: 72%|███████▏ | 50171/70000 [17:46:15<7:17:01, 1.32s/step] Training: 72%|███████▏ | 50172/70000 [17:46:16<7:03:46, 1.28s/step] Training: 72%|███████▏ | 50173/70000 [17:46:18<6:54:55, 1.26s/step] Training: 72%|███████▏ | 50174/70000 [17:46:19<7:01:22, 1.28s/step] Training: 72%|███████▏ | 50175/70000 [17:46:20<6:57:29, 1.26s/step] Training: 72%|███████▏ | 50176/70000 [17:46:22<7:02:57, 1.28s/step] Training: 72%|███████▏ | 50177/70000 [17:46:23<6:53:38, 1.25s/step] Training: 72%|███████▏ | 50178/70000 [17:46:24<7:02:17, 1.28s/step] Training: 72%|███████▏ | 50179/70000 [17:46:25<7:09:04, 1.30s/step] Training: 72%|███████▏ | 50180/70000 [17:46:27<7:08:22, 1.30s/step] Training: 72%|███████▏ | 50181/70000 [17:46:28<6:57:47, 1.26s/step] Training: 72%|███████▏ | 50182/70000 [17:46:29<7:04:47, 1.29s/step] Training: 72%|███████▏ | 50183/70000 [17:46:30<6:57:39, 1.26s/step] Training: 72%|███████▏ | 50184/70000 [17:46:32<6:53:47, 1.25s/step] Training: 72%|███████▏ | 50185/70000 [17:46:33<6:59:05, 1.27s/step] Training: 72%|███████▏ | 50186/70000 [17:46:34<6:55:13, 1.26s/step] Training: 72%|███████▏ | 50187/70000 [17:46:35<6:49:46, 1.24s/step] Training: 72%|███████▏ | 50188/70000 [17:46:37<6:58:29, 1.27s/step] Training: 72%|███████▏ | 50189/70000 [17:46:38<6:50:45, 1.24s/step] Training: 72%|███████▏ | 50190/70000 [17:46:39<6:47:13, 1.23s/step] Training: 72%|███████▏ | 50191/70000 [17:46:40<6:57:00, 1.26s/step] Training: 72%|███████▏ | 50192/70000 [17:46:42<7:03:13, 1.28s/step] Training: 72%|███████▏ | 50193/70000 [17:46:43<6:54:09, 1.25s/step] Training: 72%|███████▏ | 50194/70000 [17:46:44<6:50:59, 1.25s/step] Training: 72%|███████▏ | 50195/70000 [17:46:46<7:02:45, 1.28s/step] Training: 72%|███████▏ | 50196/70000 [17:46:47<6:55:54, 1.26s/step] Training: 72%|███████▏ | 50197/70000 [17:46:48<6:48:59, 1.24s/step] Training: 72%|███████▏ | 50198/70000 [17:46:49<6:58:02, 1.27s/step] Training: 72%|███████▏ | 50199/70000 [17:46:51<7:03:26, 1.28s/step] Training: 72%|███████▏ | 50200/70000 [17:46:52<7:10:12, 1.30s/step]INFO 2026-03-13 13:56:44 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.55 loss:0.009 grdn:0.731 lr:5.5e-06 updt_s:1.252 data_s:0.019 Training: 72%|███████▏ | 50201/70000 [17:46:53<6:58:41, 1.27s/step] Training: 72%|███████▏ | 50202/70000 [17:46:54<7:04:50, 1.29s/step] Training: 72%|███████▏ | 50203/70000 [17:46:56<7:09:48, 1.30s/step] Training: 72%|███████▏ | 50204/70000 [17:46:57<7:12:05, 1.31s/step] Training: 72%|███████▏ | 50205/70000 [17:46:58<7:00:25, 1.27s/step] Training: 72%|███████▏ | 50206/70000 [17:47:00<7:04:56, 1.29s/step] Training: 72%|███████▏ | 50207/70000 [17:47:01<6:59:38, 1.27s/step] Training: 72%|███████▏ | 50208/70000 [17:47:02<7:05:36, 1.29s/step] Training: 72%|███████▏ | 50209/70000 [17:47:03<6:55:37, 1.26s/step] Training: 72%|███████▏ | 50210/70000 [17:47:05<7:04:28, 1.29s/step] Training: 72%|███████▏ | 50211/70000 [17:47:06<6:59:33, 1.27s/step] Training: 72%|███████▏ | 50212/70000 [17:47:07<7:13:05, 1.31s/step] Training: 72%|███████▏ | 50213/70000 [17:47:09<7:00:45, 1.28s/step] Training: 72%|███████▏ | 50214/70000 [17:47:10<7:06:09, 1.29s/step] Training: 72%|███████▏ | 50215/70000 [17:47:11<6:57:59, 1.27s/step] Training: 72%|███████▏ | 50216/70000 [17:47:12<6:54:02, 1.26s/step] Training: 72%|███████▏ | 50217/70000 [17:47:14<6:59:11, 1.27s/step] Training: 72%|███████▏ | 50218/70000 [17:47:15<6:55:47, 1.26s/step] Training: 72%|███████▏ | 50219/70000 [17:47:16<6:49:46, 1.24s/step] Training: 72%|███████▏ | 50220/70000 [17:47:18<7:04:45, 1.29s/step] Training: 72%|███████▏ | 50221/70000 [17:47:19<6:55:03, 1.26s/step] Training: 72%|███████▏ | 50222/70000 [17:47:20<6:51:11, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=17064 Training: 72%|███████▏ | 50223/70000 [17:47:21<6:59:35, 1.27s/step] Training: 72%|███████▏ | 50224/70000 [17:47:22<6:53:51, 1.26s/step] Training: 72%|███████▏ | 50225/70000 [17:47:24<6:47:15, 1.24s/step] Training: 72%|███████▏ | 50226/70000 [17:47:25<6:44:45, 1.23s/step] Training: 72%|███████▏ | 50227/70000 [17:47:26<6:55:00, 1.26s/step] Training: 72%|███████▏ | 50228/70000 [17:47:27<6:49:38, 1.24s/step] Training: 72%|███████▏ | 50229/70000 [17:47:29<7:00:11, 1.28s/step] Training: 72%|███████▏ | 50230/70000 [17:47:30<7:04:39, 1.29s/step] Training: 72%|███████▏ | 50231/70000 [17:47:31<7:08:26, 1.30s/step] Training: 72%|███████▏ | 50232/70000 [17:47:33<7:15:26, 1.32s/step] Training: 72%|███████▏ | 50233/70000 [17:47:34<7:02:07, 1.28s/step] Training: 72%|███████▏ | 50234/70000 [17:47:35<7:06:51, 1.30s/step] Training: 72%|███████▏ | 50235/70000 [17:47:37<7:10:18, 1.31s/step] Training: 72%|███████▏ | 50236/70000 [17:47:38<7:16:15, 1.32s/step] Training: 72%|███████▏ | 50237/70000 [17:47:39<7:01:38, 1.28s/step] Training: 72%|███████▏ | 50238/70000 [17:47:41<7:06:59, 1.30s/step] Training: 72%|███████▏ | 50239/70000 [17:47:42<7:00:43, 1.28s/step] Training: 72%|███████▏ | 50240/70000 [17:47:43<7:05:55, 1.29s/step] Training: 72%|███████▏ | 50241/70000 [17:47:44<6:55:27, 1.26s/step] Training: 72%|███████▏ | 50242/70000 [17:47:46<7:02:21, 1.28s/step] Training: 72%|███████▏ | 50243/70000 [17:47:47<6:57:33, 1.27s/step] Training: 72%|███████▏ | 50244/70000 [17:47:48<7:03:51, 1.29s/step] Training: 72%|███████▏ | 50245/70000 [17:47:49<7:08:27, 1.30s/step] Training: 72%|███████▏ | 50246/70000 [17:47:51<7:11:36, 1.31s/step] Training: 72%|███████▏ | 50247/70000 [17:47:52<7:02:46, 1.28s/step] Training: 72%|███████▏ | 50248/70000 [17:47:53<7:12:10, 1.31s/step] Training: 72%|███████▏ | 50249/70000 [17:47:55<7:00:27, 1.28s/step] Training: 72%|███████▏ | 50250/70000 [17:47:56<6:54:41, 1.26s/step] Training: 72%|███████▏ | 50251/70000 [17:47:57<6:50:39, 1.25s/step] Training: 72%|███████▏ | 50252/70000 [17:47:58<6:58:54, 1.27s/step] Training: 72%|███████▏ | 50253/70000 [17:48:00<7:06:00, 1.29s/step] Training: 72%|███████▏ | 50254/70000 [17:48:01<6:57:29, 1.27s/step] Training: 72%|███████▏ | 50255/70000 [17:48:02<7:04:05, 1.29s/step] Training: 72%|███████▏ | 50256/70000 [17:48:04<7:09:24, 1.30s/step] Training: 72%|███████▏ | 50257/70000 [17:48:05<6:58:14, 1.27s/step] Training: 72%|███████▏ | 50258/70000 [17:48:06<6:52:11, 1.25s/step] Training: 72%|███████▏ | 50259/70000 [17:48:07<6:59:22, 1.27s/step] Training: 72%|███████▏ | 50260/70000 [17:48:09<6:52:57, 1.26s/step] Training: 72%|███████▏ | 50261/70000 [17:48:10<6:46:31, 1.24s/step] Training: 72%|███████▏ | 50262/70000 [17:48:11<6:54:59, 1.26s/step] Training: 72%|███████▏ | 50263/70000 [17:48:12<7:01:06, 1.28s/step] Training: 72%|███████▏ | 50264/70000 [17:48:14<7:09:08, 1.30s/step] Training: 72%|███████▏ | 50265/70000 [17:48:15<6:57:41, 1.27s/step] Training: 72%|███████▏ | 50266/70000 [17:48:16<7:03:43, 1.29s/step] Training: 72%|███████▏ | 50267/70000 [17:48:18<7:07:15, 1.30s/step] Training: 72%|███████▏ | 50268/70000 [17:48:19<7:11:37, 1.31s/step] Training: 72%|███████▏ | 50269/70000 [17:48:20<7:06:45, 1.30s/step] Training: 72%|███████▏ | 50270/70000 [17:48:22<7:09:17, 1.31s/step] Training: 72%|███████▏ | 50271/70000 [17:48:23<7:01:57, 1.28s/step] Training: 72%|███████▏ | 50272/70000 [17:48:24<7:06:05, 1.30s/step] Training: 72%|███████▏ | 50273/70000 [17:48:25<6:56:05, 1.27s/step] Training: 72%|███████▏ | 50274/70000 [17:48:27<7:02:03, 1.28s/step] Training: 72%|███████▏ | 50275/70000 [17:48:28<6:56:38, 1.27s/step] Training: 72%|███████▏ | 50276/70000 [17:48:29<7:02:54, 1.29s/step] Training: 72%|███████▏ | 50277/70000 [17:48:30<6:58:25, 1.27s/step] Training: 72%|███████▏ | 50278/70000 [17:48:32<7:02:59, 1.29s/step] Training: 72%|███████▏ | 50279/70000 [17:48:33<6:56:00, 1.27s/step] Training: 72%|███████▏ | 50280/70000 [17:48:34<7:05:05, 1.29s/step] Training: 72%|███████▏ | 50281/70000 [17:48:36<6:54:39, 1.26s/step] Training: 72%|███████▏ | 50282/70000 [17:48:37<6:54:36, 1.26s/step] Training: 72%|███████▏ | 50283/70000 [17:48:38<6:49:06, 1.24s/step] Training: 72%|███████▏ | 50284/70000 [17:48:39<6:58:58, 1.28s/step] Training: 72%|███████▏ | 50285/70000 [17:48:41<6:50:32, 1.25s/step] Training: 72%|███████▏ | 50286/70000 [17:48:42<7:01:48, 1.28s/step] Training: 72%|███████▏ | 50287/70000 [17:48:43<7:04:50, 1.29s/step] Training: 72%|███████▏ | 50288/70000 [17:48:45<7:07:35, 1.30s/step] Training: 72%|███████▏ | 50289/70000 [17:48:46<6:56:46, 1.27s/step] Training: 72%|███████▏ | 50290/70000 [17:48:47<6:50:43, 1.25s/step] Training: 72%|███████▏ | 50291/70000 [17:48:48<6:59:10, 1.28s/step] Training: 72%|███████▏ | 50292/70000 [17:48:49<6:52:41, 1.26s/step] Training: 72%|███████▏ | 50293/70000 [17:48:51<6:45:59, 1.24s/step] Training: 72%|███████▏ | 50294/70000 [17:48:52<7:04:36, 1.29s/step] Training: 72%|███████▏ | 50295/70000 [17:48:53<7:07:58, 1.30s/step] Training: 72%|███████▏ | 50296/70000 [17:48:55<7:14:13, 1.32s/step] Training: 72%|███████▏ | 50297/70000 [17:48:56<7:01:06, 1.28s/step] Training: 72%|███████▏ | 50298/70000 [17:48:57<7:05:39, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=17064 Training: 72%|███████▏ | 50299/70000 [17:48:59<7:09:20, 1.31s/step] Training: 72%|███████▏ | 50300/70000 [17:49:00<7:11:10, 1.31s/step]INFO 2026-03-13 13:58:52 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.63 loss:0.008 grdn:0.795 lr:5.4e-06 updt_s:1.259 data_s:0.019 Training: 72%|███████▏ | 50301/70000 [17:49:01<6:58:53, 1.28s/step] Training: 72%|███████▏ | 50302/70000 [17:49:03<7:08:46, 1.31s/step] Training: 72%|███████▏ | 50303/70000 [17:49:04<6:56:40, 1.27s/step] Training: 72%|███████▏ | 50304/70000 [17:49:05<7:02:30, 1.29s/step] Training: 72%|███████▏ | 50305/70000 [17:49:06<6:52:34, 1.26s/step] Training: 72%|███████▏ | 50306/70000 [17:49:08<6:59:20, 1.28s/step] Training: 72%|███████▏ | 50307/70000 [17:49:09<6:54:16, 1.26s/step] Training: 72%|███████▏ | 50308/70000 [17:49:10<6:47:10, 1.24s/step] Training: 72%|███████▏ | 50309/70000 [17:49:11<6:54:09, 1.26s/step] Training: 72%|███████▏ | 50310/70000 [17:49:13<7:03:48, 1.29s/step] Training: 72%|███████▏ | 50311/70000 [17:49:14<6:54:14, 1.26s/step] Training: 72%|███████▏ | 50312/70000 [17:49:15<7:05:41, 1.30s/step] Training: 72%|███████▏ | 50313/70000 [17:49:16<6:55:06, 1.27s/step] Training: 72%|███████▏ | 50314/70000 [17:49:18<6:51:59, 1.26s/step] Training: 72%|███████▏ | 50315/70000 [17:49:19<6:47:52, 1.24s/step] Training: 72%|███████▏ | 50316/70000 [17:49:20<6:42:42, 1.23s/step] Training: 72%|███████▏ | 50317/70000 [17:49:21<6:53:39, 1.26s/step] Training: 72%|███████▏ | 50318/70000 [17:49:23<6:48:03, 1.24s/step] Training: 72%|███████▏ | 50319/70000 [17:49:24<7:09:19, 1.31s/step] Training: 72%|███████▏ | 50320/70000 [17:49:25<7:11:13, 1.31s/step] Training: 72%|███████▏ | 50321/70000 [17:49:27<6:58:48, 1.28s/step] Training: 72%|███████▏ | 50322/70000 [17:49:28<6:52:32, 1.26s/step] Training: 72%|███████▏ | 50323/70000 [17:49:29<6:58:44, 1.28s/step] Training: 72%|███████▏ | 50324/70000 [17:49:30<6:50:13, 1.25s/step] Training: 72%|███████▏ | 50325/70000 [17:49:31<6:43:51, 1.23s/step] Training: 72%|███████▏ | 50326/70000 [17:49:33<6:54:11, 1.26s/step] Training: 72%|███████▏ | 50327/70000 [17:49:34<7:11:49, 1.32s/step] Training: 72%|███████▏ | 50328/70000 [17:49:36<7:16:30, 1.33s/step] Training: 72%|███████▏ | 50329/70000 [17:49:37<7:02:42, 1.29s/step] Training: 72%|███████▏ | 50330/70000 [17:49:38<7:06:24, 1.30s/step] Training: 72%|███████▏ | 50331/70000 [17:49:39<7:09:17, 1.31s/step] Training: 72%|███████▏ | 50332/70000 [17:49:41<6:57:22, 1.27s/step] Training: 72%|███████▏ | 50333/70000 [17:49:42<6:51:06, 1.25s/step] Training: 72%|███████▏ | 50334/70000 [17:49:43<6:58:26, 1.28s/step] Training: 72%|███████▏ | 50335/70000 [17:49:44<6:54:23, 1.26s/step] Training: 72%|███████▏ | 50336/70000 [17:49:46<7:00:53, 1.28s/step] Training: 72%|███████▏ | 50337/70000 [17:49:47<6:51:43, 1.26s/step] Training: 72%|███████▏ | 50338/70000 [17:49:48<6:59:39, 1.28s/step] Training: 72%|███████▏ | 50339/70000 [17:49:50<6:55:32, 1.27s/step] Training: 72%|███████▏ | 50340/70000 [17:49:51<6:47:44, 1.24s/step] Training: 72%|███████▏ | 50341/70000 [17:49:52<6:47:11, 1.24s/step] Training: 72%|███████▏ | 50342/70000 [17:49:53<6:56:02, 1.27s/step] Training: 72%|███████▏ | 50343/70000 [17:49:55<6:54:49, 1.27s/step] Training: 72%|███████▏ | 50344/70000 [17:49:56<7:03:33, 1.29s/step] Training: 72%|███████▏ | 50345/70000 [17:49:57<6:53:17, 1.26s/step] Training: 72%|███████▏ | 50346/70000 [17:49:58<6:50:15, 1.25s/step] Training: 72%|███████▏ | 50347/70000 [17:50:00<6:46:00, 1.24s/step] Training: 72%|███████▏ | 50348/70000 [17:50:01<6:41:02, 1.22s/step] Training: 72%|███████▏ | 50349/70000 [17:50:02<6:37:37, 1.21s/step] Training: 72%|███████▏ | 50350/70000 [17:50:03<6:51:18, 1.26s/step] Training: 72%|███████▏ | 50351/70000 [17:50:05<6:58:53, 1.28s/step] Training: 72%|███████▏ | 50352/70000 [17:50:06<7:11:20, 1.32s/step] Training: 72%|███████▏ | 50353/70000 [17:50:07<6:59:17, 1.28s/step] Training: 72%|███████▏ | 50354/70000 [17:50:08<6:52:10, 1.26s/step] Training: 72%|███████▏ | 50355/70000 [17:50:10<6:59:33, 1.28s/step] Training: 72%|███████▏ | 50356/70000 [17:50:11<6:52:16, 1.26s/step] Training: 72%|███████▏ | 50357/70000 [17:50:12<6:47:46, 1.25s/step] Training: 72%|███████▏ | 50358/70000 [17:50:13<6:56:06, 1.27s/step] Training: 72%|███████▏ | 50359/70000 [17:50:15<7:01:34, 1.29s/step] Training: 72%|███████▏ | 50360/70000 [17:50:16<7:12:45, 1.32s/step] Training: 72%|███████▏ | 50361/70000 [17:50:17<6:59:49, 1.28s/step] Training: 72%|███████▏ | 50362/70000 [17:50:19<7:04:19, 1.30s/step] Training: 72%|███████▏ | 50363/70000 [17:50:20<7:07:19, 1.31s/step] Training: 72%|███████▏ | 50364/70000 [17:50:21<6:55:35, 1.27s/step] Training: 72%|███████▏ | 50365/70000 [17:50:22<6:51:55, 1.26s/step] Training: 72%|███████▏ | 50366/70000 [17:50:24<6:58:30, 1.28s/step] Training: 72%|███████▏ | 50367/70000 [17:50:25<6:54:11, 1.27s/step] Training: 72%|███████▏ | 50368/70000 [17:50:26<6:58:58, 1.28s/step] Training: 72%|███████▏ | 50369/70000 [17:50:28<7:05:24, 1.30s/step] Training: 72%|███████▏ | 50370/70000 [17:50:29<7:06:45, 1.30s/step] Training: 72%|███████▏ | 50371/70000 [17:50:30<6:59:08, 1.28s/step] Training: 72%|███████▏ | 50372/70000 [17:50:31<6:50:05, 1.25s/step] Training: 72%|███████▏ | 50373/70000 [17:50:33<6:46:18, 1.24s/step] Training: 72%|███████▏ | 50374/70000 [17:50:34<6:55:44, 1.27s/step] Training: 72%|███████▏ | 50375/70000 [17:50:35<6:50:48, 1.26s/step] Training: 72%|███████▏ | 50376/70000 [17:50:37<7:04:40, 1.30s/step] Training: 72%|███████▏ | 50377/70000 [17:50:38<6:53:07, 1.26s/step] Training: 72%|███████▏ | 50378/70000 [17:50:39<6:50:45, 1.26s/step] Training: 72%|███████▏ | 50379/70000 [17:50:40<6:47:20, 1.25s/step] Training: 72%|███████▏ | 50380/70000 [17:50:41<6:41:29, 1.23s/step] Training: 72%|███████▏ | 50381/70000 [17:50:43<6:52:23, 1.26s/step] Training: 72%|███████▏ | 50382/70000 [17:50:44<6:48:04, 1.25s/step] Training: 72%|███████▏ | 50383/70000 [17:50:45<6:56:09, 1.27s/step] Training: 72%|███████▏ | 50384/70000 [17:50:47<7:02:04, 1.29s/step] Training: 72%|███████▏ | 50385/70000 [17:50:48<7:07:14, 1.31s/step] Training: 72%|███████▏ | 50386/70000 [17:50:49<6:59:07, 1.28s/step] Training: 72%|███████▏ | 50387/70000 [17:50:51<7:04:14, 1.30s/step] Training: 72%|███████▏ | 50388/70000 [17:50:52<6:53:32, 1.27s/step] Training: 72%|███████▏ | 50389/70000 [17:50:53<6:59:59, 1.28s/step] Training: 72%|███████▏ | 50390/70000 [17:50:54<7:04:39, 1.30s/step] Training: 72%|███████▏ | 50391/70000 [17:50:56<7:07:09, 1.31s/step] Training: 72%|███████▏ | 50392/70000 [17:50:57<7:12:52, 1.32s/step] Training: 72%|███████▏ | 50393/70000 [17:50:58<7:15:42, 1.33s/step] Training: 72%|███████▏ | 50394/70000 [17:51:00<7:00:30, 1.29s/step] Training: 72%|███████▏ | 50395/70000 [17:51:01<7:16:15, 1.34s/step] Training: 72%|███████▏ | 50396/70000 [17:51:02<7:02:33, 1.29s/step] Training: 72%|███████▏ | 50397/70000 [17:51:03<6:56:30, 1.27s/step] Training: 72%|███████▏ | 50398/70000 [17:51:05<7:02:24, 1.29s/step] Training: 72%|███████▏ | 50399/70000 [17:51:06<6:56:15, 1.27s/step] Training: 72%|███████▏ | 50400/70000 [17:51:07<7:00:49, 1.29s/step]INFO 2026-03-13 14:01:00 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.72 loss:0.009 grdn:0.907 lr:5.4e-06 updt_s:1.253 data_s:0.019 Training: 72%|███████▏ | 50401/70000 [17:51:09<6:51:01, 1.26s/step] Training: 72%|███████▏ | 50402/70000 [17:51:10<6:44:15, 1.24s/step] Training: 72%|███████▏ | 50403/70000 [17:51:11<6:43:52, 1.24s/step] Training: 72%|███████▏ | 50404/70000 [17:51:12<6:39:07, 1.22s/step] Training: 72%|███████▏ | 50405/70000 [17:51:13<6:38:16, 1.22s/step] Training: 72%|███████▏ | 50406/70000 [17:51:15<6:48:49, 1.25s/step] Training: 72%|███████▏ | 50407/70000 [17:51:16<6:46:03, 1.24s/step] Training: 72%|███████▏ | 50408/70000 [17:51:17<6:57:48, 1.28s/step] Training: 72%|███████▏ | 50409/70000 [17:51:19<6:54:30, 1.27s/step] Training: 72%|███████▏ | 50410/70000 [17:51:20<6:50:21, 1.26s/step] Training: 72%|███████▏ | 50411/70000 [17:51:21<6:46:04, 1.24s/step] Training: 72%|███████▏ | 50412/70000 [17:51:22<6:40:36, 1.23s/step] Training: 72%|███████▏ | 50413/70000 [17:51:24<6:51:04, 1.26s/step] Training: 72%|███████▏ | 50414/70000 [17:51:25<6:44:56, 1.24s/step] Training: 72%|███████▏ | 50415/70000 [17:51:26<6:53:10, 1.27s/step] Training: 72%|███████▏ | 50416/70000 [17:51:27<6:59:10, 1.28s/step] Training: 72%|███████▏ | 50417/70000 [17:51:29<6:54:12, 1.27s/step] Training: 72%|███████▏ | 50418/70000 [17:51:30<6:47:32, 1.25s/step] Training: 72%|███████▏ | 50419/70000 [17:51:31<6:55:07, 1.27s/step] Training: 72%|███████▏ | 50420/70000 [17:51:32<6:47:10, 1.25s/step] Training: 72%|███████▏ | 50421/70000 [17:51:34<6:54:54, 1.27s/step] Training: 72%|███████▏ | 50422/70000 [17:51:35<7:00:07, 1.29s/step] Training: 72%|███████▏ | 50423/70000 [17:51:36<7:03:46, 1.30s/step] Training: 72%|███████▏ | 50424/70000 [17:51:38<7:10:52, 1.32s/step] Training: 72%|███████▏ | 50425/70000 [17:51:39<6:57:50, 1.28s/step] Training: 72%|███████▏ | 50426/70000 [17:51:40<7:11:30, 1.32s/step] Training: 72%|███████▏ | 50427/70000 [17:51:42<7:11:51, 1.32s/step] Training: 72%|███████▏ | 50428/70000 [17:51:43<6:58:55, 1.28s/step] Training: 72%|███████▏ | 50429/70000 [17:51:44<6:52:50, 1.27s/step] Training: 72%|███████▏ | 50430/70000 [17:51:45<6:58:10, 1.28s/step] Training: 72%|███████▏ | 50431/70000 [17:51:47<6:53:11, 1.27s/step] Training: 72%|███████▏ | 50432/70000 [17:51:48<6:58:55, 1.28s/step] Training: 72%|███████▏ | 50433/70000 [17:51:49<6:49:14, 1.25s/step] Training: 72%|███████▏ | 50434/70000 [17:51:50<7:04:59, 1.30s/step] Training: 72%|███████▏ | 50435/70000 [17:51:52<6:57:18, 1.28s/step] Training: 72%|███████▏ | 50436/70000 [17:51:53<6:48:20, 1.25s/step] Training: 72%|███████▏ | 50437/70000 [17:51:54<6:44:39, 1.24s/step] Training: 72%|███████▏ | 50438/70000 [17:51:55<6:52:40, 1.27s/step] Training: 72%|███████▏ | 50439/70000 [17:51:57<6:46:25, 1.25s/step] Training: 72%|███████▏ | 50440/70000 [17:51:58<6:58:21, 1.28s/step] Training: 72%|███████▏ | 50441/70000 [17:51:59<6:49:45, 1.26s/step] Training: 72%|███████▏ | 50442/70000 [17:52:01<7:02:18, 1.30s/step] Training: 72%|███████▏ | 50443/70000 [17:52:02<6:52:03, 1.26s/step] Training: 72%|███████▏ | 50444/70000 [17:52:03<6:44:40, 1.24s/step] Training: 72%|███████▏ | 50445/70000 [17:52:04<6:53:23, 1.27s/step] Training: 72%|███████▏ | 50446/70000 [17:52:06<6:47:49, 1.25s/step] Training: 72%|███████▏ | 50447/70000 [17:52:07<6:55:55, 1.28s/step] Training: 72%|███████▏ | 50448/70000 [17:52:08<7:01:48, 1.29s/step] Training: 72%|███████▏ | 50449/70000 [17:52:09<6:51:34, 1.26s/step] Training: 72%|███████▏ | 50450/70000 [17:52:11<7:00:36, 1.29s/step] Training: 72%|███████▏ | 50451/70000 [17:52:12<7:04:06, 1.30s/step] Training: 72%|███████▏ | 50452/70000 [17:52:13<6:53:00, 1.27s/step] Training: 72%|███████▏ | 50453/70000 [17:52:15<6:59:33, 1.29s/step] Training: 72%|███████▏ | 50454/70000 [17:52:16<7:03:06, 1.30s/step] Training: 72%|███████▏ | 50455/70000 [17:52:17<7:06:25, 1.31s/step] Training: 72%|███████▏ | 50456/70000 [17:52:19<7:12:15, 1.33s/step] Training: 72%|███████▏ | 50457/70000 [17:52:20<6:58:25, 1.28s/step] Training: 72%|███████▏ | 50458/70000 [17:52:21<6:48:58, 1.26s/step] Training: 72%|███████▏ | 50459/70000 [17:52:22<7:07:27, 1.31s/step] Training: 72%|███████▏ | 50460/70000 [17:52:24<6:55:31, 1.28s/step] Training: 72%|███████▏ | 50461/70000 [17:52:25<6:50:21, 1.26s/step] Training: 72%|███████▏ | 50462/70000 [17:52:26<6:58:17, 1.28s/step] Training: 72%|███████▏ | 50463/70000 [17:52:27<6:54:12, 1.27s/step] Training: 72%|███████▏ | 50464/70000 [17:52:29<6:58:58, 1.29s/step] Training: 72%|███████▏ | 50465/70000 [17:52:30<6:49:59, 1.26s/step] Training: 72%|███████▏ | 50466/70000 [17:52:31<6:42:51, 1.24s/step] Training: 72%|███████▏ | 50467/70000 [17:52:32<6:53:20, 1.27s/step] Training: 72%|███████▏ | 50468/70000 [17:52:34<6:45:02, 1.24s/step] Training: 72%|███████▏ | 50469/70000 [17:52:35<6:42:34, 1.24s/step] Training: 72%|███████▏ | 50470/70000 [17:52:36<6:51:16, 1.26s/step] Training: 72%|███████▏ | 50471/70000 [17:52:37<6:45:53, 1.25s/step] Training: 72%|███████▏ | 50472/70000 [17:52:39<6:56:58, 1.28s/step] Training: 72%|███████▏ | 50473/70000 [17:52:40<6:48:33, 1.26s/step] Training: 72%|███████▏ | 50474/70000 [17:52:41<6:45:03, 1.24s/step] Training: 72%|███████▏ | 50475/70000 [17:52:43<6:54:10, 1.27s/step] Training: 72%|███████▏ | 50476/70000 [17:52:44<6:46:08, 1.25s/step] Training: 72%|███████▏ | 50477/70000 [17:52:45<6:54:09, 1.27s/step] Training: 72%|███████▏ | 50478/70000 [17:52:46<6:48:09, 1.25s/step] Training: 72%|███████▏ | 50479/70000 [17:52:48<6:56:02, 1.28s/step] Training: 72%|███████▏ | 50480/70000 [17:52:49<7:01:08, 1.29s/step] Training: 72%|███████▏ | 50481/70000 [17:52:50<6:50:35, 1.26s/step] Training: 72%|███████▏ | 50482/70000 [17:52:51<6:46:29, 1.25s/step] Training: 72%|███████▏ | 50483/70000 [17:52:53<6:57:19, 1.28s/step] Training: 72%|███████▏ | 50484/70000 [17:52:54<6:47:31, 1.25s/step] Training: 72%|███████▏ | 50485/70000 [17:52:55<6:55:01, 1.28s/step] Training: 72%|███████▏ | 50486/70000 [17:52:57<6:59:56, 1.29s/step] Training: 72%|███████▏ | 50487/70000 [17:52:58<7:03:10, 1.30s/step] Training: 72%|███████▏ | 50488/70000 [17:52:59<7:09:35, 1.32s/step] Training: 72%|███████▏ | 50489/70000 [17:53:00<6:56:43, 1.28s/step] Training: 72%|███████▏ | 50490/70000 [17:53:02<7:00:59, 1.29s/step] Training: 72%|███████▏ | 50491/70000 [17:53:03<7:04:51, 1.31s/step] Training: 72%|███████▏ | 50492/70000 [17:53:04<6:53:16, 1.27s/step] Training: 72%|███████▏ | 50493/70000 [17:53:05<6:48:56, 1.26s/step] Training: 72%|███████▏ | 50494/70000 [17:53:07<6:55:17, 1.28s/step] Training: 72%|███████▏ | 50495/70000 [17:53:08<6:51:02, 1.26s/step] Training: 72%|███████▏ | 50496/70000 [17:53:09<6:57:16, 1.28s/step] Training: 72%|███████▏ | 50497/70000 [17:53:11<6:48:04, 1.26s/step] Training: 72%|███████▏ | 50498/70000 [17:53:12<6:55:24, 1.28s/step] Training: 72%|███████▏ | 50499/70000 [17:53:13<6:50:20, 1.26s/step] Training: 72%|███████▏ | 50500/70000 [17:53:14<6:58:26, 1.29s/step]INFO 2026-03-13 14:03:07 ot_train.py:435 step:50K smpl:3M ep:11K epch:42.80 loss:0.009 grdn:0.730 lr:5.3e-06 updt_s:1.250 data_s:0.019 Training: 72%|███████▏ | 50501/70000 [17:53:16<6:48:56, 1.26s/step] Training: 72%|███████▏ | 50502/70000 [17:53:17<6:54:46, 1.28s/step] Training: 72%|███████▏ | 50503/70000 [17:53:18<6:47:36, 1.25s/step] Training: 72%|███████▏ | 50504/70000 [17:53:20<6:58:58, 1.29s/step] Training: 72%|███████▏ | 50505/70000 [17:53:21<6:49:10, 1.26s/step] Training: 72%|███████▏ | 50506/70000 [17:53:22<6:46:48, 1.25s/step] Training: 72%|███████▏ | 50507/70000 [17:53:23<6:43:01, 1.24s/step] Training: 72%|███████▏ | 50508/70000 [17:53:24<6:49:17, 1.26s/step] Training: 72%|███████▏ | 50509/70000 [17:53:26<6:55:05, 1.28s/step] Training: 72%|███████▏ | 50510/70000 [17:53:27<6:48:34, 1.26s/step] Training: 72%|███████▏ | 50511/70000 [17:53:28<6:56:03, 1.28s/step] Training: 72%|███████▏ | 50512/70000 [17:53:30<7:00:42, 1.30s/step] Training: 72%|███████▏ | 50513/70000 [17:53:31<6:50:10, 1.26s/step] Training: 72%|███████▏ | 50514/70000 [17:53:32<6:44:47, 1.25s/step] Training: 72%|███████▏ | 50515/70000 [17:53:33<6:53:51, 1.27s/step] Training: 72%|███████▏ | 50516/70000 [17:53:35<6:47:42, 1.26s/step] Training: 72%|███████▏ | 50517/70000 [17:53:36<6:53:46, 1.27s/step] Training: 72%|███████▏ | 50518/70000 [17:53:37<6:59:19, 1.29s/step] Training: 72%|███████▏ | 50519/70000 [17:53:39<7:03:39, 1.30s/step] Training: 72%|███████▏ | 50520/70000 [17:53:40<7:06:09, 1.31s/step] Training: 72%|███████▏ | 50521/70000 [17:53:41<6:54:01, 1.28s/step] Training: 72%|███████▏ | 50522/70000 [17:53:42<6:59:22, 1.29s/step] Training: 72%|███████▏ | 50523/70000 [17:53:44<7:03:09, 1.30s/step] Training: 72%|███████▏ | 50524/70000 [17:53:45<6:51:53, 1.27s/step] Training: 72%|███████▏ | 50525/70000 [17:53:46<6:47:13, 1.25s/step] Training: 72%|███████▏ | 50526/70000 [17:53:48<6:54:54, 1.28s/step] Training: 72%|███████▏ | 50527/70000 [17:53:49<6:51:09, 1.27s/step] Training: 72%|███████▏ | 50528/70000 [17:53:50<6:56:59, 1.28s/step] Training: 72%|███████▏ | 50529/70000 [17:53:51<6:47:33, 1.26s/step] Training: 72%|███████▏ | 50530/70000 [17:53:53<6:54:31, 1.28s/step] Training: 72%|███████▏ | 50531/70000 [17:53:54<6:49:27, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=25953 Training: 72%|███████▏ | 50532/70000 [17:53:55<6:47:27, 1.26s/step] Training: 72%|███████▏ | 50533/70000 [17:53:56<6:42:59, 1.24s/step] Training: 72%|███████▏ | 50534/70000 [17:53:58<6:51:39, 1.27s/step] Training: 72%|███████▏ | 50535/70000 [17:53:59<6:46:45, 1.25s/step] Training: 72%|███████▏ | 50536/70000 [17:54:00<6:59:16, 1.29s/step] Training: 72%|███████▏ | 50537/70000 [17:54:01<6:49:26, 1.26s/step] Training: 72%|███████▏ | 50538/70000 [17:54:03<6:48:45, 1.26s/step] Training: 72%|███████▏ | 50539/70000 [17:54:04<6:42:55, 1.24s/step] Training: 72%|███████▏ | 50540/70000 [17:54:05<6:42:26, 1.24s/step] Training: 72%|███████▏ | 50541/70000 [17:54:06<6:50:44, 1.27s/step] Training: 72%|███████▏ | 50542/70000 [17:54:08<6:45:41, 1.25s/step] Training: 72%|███████▏ | 50543/70000 [17:54:09<6:53:15, 1.27s/step] Training: 72%|███████▏ | 50544/70000 [17:54:10<6:58:28, 1.29s/step] Training: 72%|███████▏ | 50545/70000 [17:54:12<6:48:26, 1.26s/step] Training: 72%|███████▏ | 50546/70000 [17:54:13<6:44:53, 1.25s/step] Training: 72%|███████▏ | 50547/70000 [17:54:14<6:53:23, 1.28s/step] Training: 72%|███████▏ | 50548/70000 [17:54:15<6:44:56, 1.25s/step] Training: 72%|███████▏ | 50549/70000 [17:54:17<7:00:27, 1.30s/step] Training: 72%|███████▏ | 50550/70000 [17:54:18<7:03:03, 1.31s/step] Training: 72%|███████▏ | 50551/70000 [17:54:19<7:05:28, 1.31s/step] Training: 72%|███████▏ | 50552/70000 [17:54:21<7:07:14, 1.32s/step] Training: 72%|███████▏ | 50553/70000 [17:54:22<6:54:42, 1.28s/step] Training: 72%|███████▏ | 50554/70000 [17:54:23<7:00:19, 1.30s/step] Training: 72%|███████▏ | 50555/70000 [17:54:25<7:03:36, 1.31s/step] Training: 72%|███████▏ | 50556/70000 [17:54:26<6:52:08, 1.27s/step] Training: 72%|███████▏ | 50557/70000 [17:54:27<6:52:25, 1.27s/step] Training: 72%|███████▏ | 50558/70000 [17:54:28<6:57:20, 1.29s/step] Training: 72%|███████▏ | 50559/70000 [17:54:30<6:54:03, 1.28s/step] Training: 72%|███████▏ | 50560/70000 [17:54:31<6:58:19, 1.29s/step] Training: 72%|███████▏ | 50561/70000 [17:54:32<6:48:17, 1.26s/step] Training: 72%|███████▏ | 50562/70000 [17:54:33<6:55:48, 1.28s/step] Training: 72%|███████▏ | 50563/70000 [17:54:35<6:50:52, 1.27s/step] Training: 72%|███████▏ | 50564/70000 [17:54:36<6:43:08, 1.24s/step] Training: 72%|███████▏ | 50565/70000 [17:54:37<6:52:34, 1.27s/step] Training: 72%|███████▏ | 50566/70000 [17:54:38<6:56:15, 1.29s/step] Training: 72%|███████▏ | 50567/70000 [17:54:40<6:49:51, 1.27s/step] Training: 72%|███████▏ | 50568/70000 [17:54:41<6:57:16, 1.29s/step] Training: 72%|███████▏ | 50569/70000 [17:54:42<6:47:24, 1.26s/step] Training: 72%|███████▏ | 50570/70000 [17:54:43<6:45:19, 1.25s/step] Training: 72%|███████▏ | 50571/70000 [17:54:45<6:41:13, 1.24s/step] Training: 72%|███████▏ | 50572/70000 [17:54:46<6:36:10, 1.22s/step] Training: 72%|███████▏ | 50573/70000 [17:54:47<6:48:12, 1.26s/step] Training: 72%|███████▏ | 50574/70000 [17:54:48<6:43:40, 1.25s/step] Training: 72%|███████▏ | 50575/70000 [17:54:50<6:51:21, 1.27s/step] Training: 72%|███████▏ | 50576/70000 [17:54:51<6:56:46, 1.29s/step] Training: 72%|███████▏ | 50577/70000 [17:54:52<6:47:14, 1.26s/step] Training: 72%|███████▏ | 50578/70000 [17:54:53<6:42:59, 1.24s/step] Training: 72%|███████▏ | 50579/70000 [17:54:55<6:51:53, 1.27s/step] Training: 72%|███████▏ | 50580/70000 [17:54:56<6:43:54, 1.25s/step] Training: 72%|███████▏ | 50581/70000 [17:54:57<6:52:01, 1.27s/step] Training: 72%|███████▏ | 50582/70000 [17:54:59<7:06:55, 1.32s/step] Training: 72%|███████▏ | 50583/70000 [17:55:00<7:08:41, 1.32s/step] Training: 72%|███████▏ | 50584/70000 [17:55:01<7:08:57, 1.33s/step] Training: 72%|███████▏ | 50585/70000 [17:55:03<6:55:49, 1.29s/step] Training: 72%|███████▏ | 50586/70000 [17:55:04<7:00:01, 1.30s/step] Training: 72%|███████▏ | 50587/70000 [17:55:05<7:02:07, 1.30s/step] Training: 72%|███████▏ | 50588/70000 [17:55:06<6:50:53, 1.27s/step] Training: 72%|███████▏ | 50589/70000 [17:55:08<6:46:06, 1.26s/step] Training: 72%|███████▏ | 50590/70000 [17:55:09<7:04:34, 1.31s/step] Training: 72%|███████▏ | 50591/70000 [17:55:10<6:57:21, 1.29s/step] Training: 72%|███████▏ | 50592/70000 [17:55:12<7:00:44, 1.30s/step] Training: 72%|███████▏ | 50593/70000 [17:55:13<6:49:46, 1.27s/step] Training: 72%|███████▏ | 50594/70000 [17:55:14<6:55:15, 1.28s/step] Training: 72%|███████▏ | 50595/70000 [17:55:15<6:49:35, 1.27s/step] Training: 72%|███████▏ | 50596/70000 [17:55:17<6:42:25, 1.24s/step] Training: 72%|███████▏ | 50597/70000 [17:55:18<6:39:23, 1.24s/step] Training: 72%|███████▏ | 50598/70000 [17:55:19<6:57:18, 1.29s/step] Training: 72%|███████▏ | 50599/70000 [17:55:20<6:48:52, 1.26s/step] Training: 72%|███████▏ | 50600/70000 [17:55:22<6:56:04, 1.29s/step]INFO 2026-03-13 14:05:14 ot_train.py:435 step:51K smpl:3M ep:11K epch:42.89 loss:0.009 grdn:1.349 lr:5.3e-06 updt_s:1.252 data_s:0.019 Training: 72%|███████▏ | 50601/70000 [17:55:23<6:46:37, 1.26s/step] Training: 72%|███████▏ | 50602/70000 [17:55:24<6:44:09, 1.25s/step] Training: 72%|███████▏ | 50603/70000 [17:55:25<6:40:16, 1.24s/step] Training: 72%|███████▏ | 50604/70000 [17:55:27<6:35:33, 1.22s/step] Training: 72%|███████▏ | 50605/70000 [17:55:28<6:46:34, 1.26s/step] Training: 72%|███████▏ | 50606/70000 [17:55:29<6:55:24, 1.29s/step] Training: 72%|███████▏ | 50607/70000 [17:55:31<6:59:10, 1.30s/step] Training: 72%|███████▏ | 50608/70000 [17:55:32<7:02:33, 1.31s/step] Training: 72%|███████▏ | 50609/70000 [17:55:33<6:50:57, 1.27s/step] Training: 72%|███████▏ | 50610/70000 [17:55:34<6:44:43, 1.25s/step] Training: 72%|███████▏ | 50611/70000 [17:55:36<6:52:08, 1.28s/step] Training: 72%|███████▏ | 50612/70000 [17:55:37<6:43:37, 1.25s/step] Training: 72%|███████▏ | 50613/70000 [17:55:38<6:51:00, 1.27s/step] Training: 72%|███████▏ | 50614/70000 [17:55:40<6:56:39, 1.29s/step] Training: 72%|███████▏ | 50615/70000 [17:55:41<6:59:50, 1.30s/step] Training: 72%|███████▏ | 50616/70000 [17:55:42<7:02:28, 1.31s/step] Training: 72%|███████▏ | 50617/70000 [17:55:43<6:50:45, 1.27s/step] Training: 72%|███████▏ | 50618/70000 [17:55:45<6:55:53, 1.29s/step] Training: 72%|███████▏ | 50619/70000 [17:55:46<6:59:13, 1.30s/step] Training: 72%|███████▏ | 50620/70000 [17:55:47<6:48:29, 1.26s/step] Training: 72%|███████▏ | 50621/70000 [17:55:48<6:44:57, 1.25s/step] Training: 72%|███████▏ | 50622/70000 [17:55:50<6:53:23, 1.28s/step] Training: 72%|███████▏ | 50623/70000 [17:55:51<6:58:26, 1.30s/step] Training: 72%|███████▏ | 50624/70000 [17:55:52<6:49:11, 1.27s/step] Training: 72%|███████▏ | 50625/70000 [17:55:53<6:41:29, 1.24s/step] Training: 72%|███████▏ | 50626/70000 [17:55:55<6:49:13, 1.27s/step] Training: 72%|███████▏ | 50627/70000 [17:55:56<6:45:21, 1.26s/step] Training: 72%|███████▏ | 50628/70000 [17:55:57<6:38:51, 1.24s/step] Training: 72%|███████▏ | 50629/70000 [17:55:58<6:36:04, 1.23s/step] Training: 72%|███████▏ | 50630/70000 [17:56:00<6:44:46, 1.25s/step] Training: 72%|███████▏ | 50631/70000 [17:56:01<6:50:18, 1.27s/step] Training: 72%|███████▏ | 50632/70000 [17:56:02<6:59:29, 1.30s/step] Training: 72%|███████▏ | 50633/70000 [17:56:04<6:48:28, 1.27s/step] Training: 72%|███████▏ | 50634/70000 [17:56:05<6:44:52, 1.25s/step] Training: 72%|███████▏ | 50635/70000 [17:56:06<6:40:27, 1.24s/step] Training: 72%|███████▏ | 50636/70000 [17:56:07<6:35:11, 1.22s/step] Training: 72%|███████▏ | 50637/70000 [17:56:09<6:45:00, 1.25s/step] Training: 72%|███████▏ | 50638/70000 [17:56:10<6:40:48, 1.24s/step] Training: 72%|███████▏ | 50639/70000 [17:56:11<6:52:00, 1.28s/step] Training: 72%|███████▏ | 50640/70000 [17:56:12<6:56:46, 1.29s/step] Training: 72%|███████▏ | 50641/70000 [17:56:14<6:46:45, 1.26s/step] Training: 72%|███████▏ | 50642/70000 [17:56:15<6:41:26, 1.24s/step] Training: 72%|███████▏ | 50643/70000 [17:56:16<6:49:15, 1.27s/step] Training: 72%|███████▏ | 50644/70000 [17:56:17<6:41:35, 1.24s/step] Training: 72%|███████▏ | 50645/70000 [17:56:19<6:49:45, 1.27s/step] Training: 72%|███████▏ | 50646/70000 [17:56:20<6:55:21, 1.29s/step] Training: 72%|███████▏ | 50647/70000 [17:56:21<6:58:32, 1.30s/step] Training: 72%|███████▏ | 50648/70000 [17:56:23<7:13:11, 1.34s/step] Training: 72%|███████▏ | 50649/70000 [17:56:24<6:58:00, 1.30s/step] Training: 72%|███████▏ | 50650/70000 [17:56:25<7:01:25, 1.31s/step] Training: 72%|███████▏ | 50651/70000 [17:56:27<7:02:41, 1.31s/step] Training: 72%|███████▏ | 50652/70000 [17:56:28<6:50:28, 1.27s/step] Training: 72%|███████▏ | 50653/70000 [17:56:29<6:46:29, 1.26s/step] Training: 72%|███████▏ | 50654/70000 [17:56:30<6:52:28, 1.28s/step] Training: 72%|███████▏ | 50655/70000 [17:56:32<6:57:26, 1.29s/step] Training: 72%|███████▏ | 50656/70000 [17:56:33<7:09:16, 1.33s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=37152 Training: 72%|███████▏ | 50657/70000 [17:56:34<6:55:37, 1.29s/step] Training: 72%|███████▏ | 50658/70000 [17:56:36<6:59:36, 1.30s/step] Training: 72%|███████▏ | 50659/70000 [17:56:37<6:53:35, 1.28s/step] Training: 72%|███████▏ | 50660/70000 [17:56:38<6:44:38, 1.26s/step] Training: 72%|███████▏ | 50661/70000 [17:56:39<6:39:50, 1.24s/step] Training: 72%|███████▏ | 50662/70000 [17:56:41<6:40:07, 1.24s/step] Training: 72%|███████▏ | 50663/70000 [17:56:42<6:37:57, 1.23s/step] Training: 72%|███████▏ | 50664/70000 [17:56:43<6:52:08, 1.28s/step] Training: 72%|███████▏ | 50665/70000 [17:56:44<6:43:28, 1.25s/step] Training: 72%|███████▏ | 50666/70000 [17:56:46<6:42:15, 1.25s/step] Training: 72%|███████▏ | 50667/70000 [17:56:47<6:38:14, 1.24s/step] Training: 72%|███████▏ | 50668/70000 [17:56:48<6:33:43, 1.22s/step] Training: 72%|███████▏ | 50669/70000 [17:56:49<6:44:38, 1.26s/step] Training: 72%|███████▏ | 50670/70000 [17:56:50<6:40:27, 1.24s/step] Training: 72%|███████▏ | 50671/70000 [17:56:52<6:49:28, 1.27s/step] Training: 72%|███████▏ | 50672/70000 [17:56:53<6:57:42, 1.30s/step] Training: 72%|███████▏ | 50673/70000 [17:56:54<6:47:17, 1.26s/step] Training: 72%|███████▏ | 50674/70000 [17:56:56<6:42:01, 1.25s/step] Training: 72%|███████▏ | 50675/70000 [17:56:57<6:50:26, 1.27s/step] Training: 72%|███████▏ | 50676/70000 [17:56:58<6:42:24, 1.25s/step] Training: 72%|███████▏ | 50677/70000 [17:56:59<6:50:06, 1.27s/step] Training: 72%|███████▏ | 50678/70000 [17:57:01<6:55:27, 1.29s/step] Training: 72%|███████▏ | 50679/70000 [17:57:02<7:01:01, 1.31s/step] Training: 72%|███████▏ | 50680/70000 [17:57:03<7:03:54, 1.32s/step] Training: 72%|███████▏ | 50681/70000 [17:57:05<6:51:44, 1.28s/step] Training: 72%|███████▏ | 50682/70000 [17:57:06<6:56:24, 1.29s/step] Training: 72%|███████▏ | 50683/70000 [17:57:07<6:59:36, 1.30s/step] Training: 72%|███████▏ | 50684/70000 [17:57:08<6:48:17, 1.27s/step] Training: 72%|███████▏ | 50685/70000 [17:57:10<6:44:46, 1.26s/step] Training: 72%|███████▏ | 50686/70000 [17:57:11<6:51:47, 1.28s/step] Training: 72%|███████▏ | 50687/70000 [17:57:12<6:48:35, 1.27s/step] Training: 72%|███████▏ | 50688/70000 [17:57:14<6:53:48, 1.29s/step] Training: 72%|███████▏ | 50689/70000 [17:57:15<6:59:45, 1.30s/step] Training: 72%|███████▏ | 50690/70000 [17:57:16<7:00:45, 1.31s/step] Training: 72%|███████▏ | 50691/70000 [17:57:18<6:53:10, 1.28s/step] Training: 72%|███████▏ | 50692/70000 [17:57:19<6:43:54, 1.26s/step] Training: 72%|███████▏ | 50693/70000 [17:57:20<6:41:15, 1.25s/step] Training: 72%|███████▏ | 50694/70000 [17:57:21<6:39:36, 1.24s/step] Training: 72%|███████▏ | 50695/70000 [17:57:22<6:36:16, 1.23s/step] Training: 72%|███████▏ | 50696/70000 [17:57:24<6:51:15, 1.28s/step] Training: 72%|███████▏ | 50697/70000 [17:57:25<6:49:14, 1.27s/step] Training: 72%|███████▏ | 50698/70000 [17:57:26<6:45:37, 1.26s/step] Training: 72%|███████▏ | 50699/70000 [17:57:27<6:40:14, 1.24s/step] Training: 72%|███████▏ | 50700/70000 [17:57:29<6:35:05, 1.23s/step]INFO 2026-03-13 14:07:21 ot_train.py:435 step:51K smpl:3M ep:11K epch:42.97 loss:0.009 grdn:0.764 lr:5.2e-06 updt_s:1.248 data_s:0.019 Training: 72%|███████▏ | 50701/70000 [17:57:30<6:31:36, 1.22s/step] Training: 72%|███████▏ | 50702/70000 [17:57:31<6:43:54, 1.26s/step] Training: 72%|███████▏ | 50703/70000 [17:57:33<6:51:33, 1.28s/step] Training: 72%|███████▏ | 50704/70000 [17:57:34<6:57:23, 1.30s/step] Training: 72%|███████▏ | 50705/70000 [17:57:35<6:52:37, 1.28s/step] Training: 72%|███████▏ | 50706/70000 [17:57:36<6:44:16, 1.26s/step] Training: 72%|███████▏ | 50707/70000 [17:57:38<6:50:31, 1.28s/step] Training: 72%|███████▏ | 50708/70000 [17:57:39<6:42:00, 1.25s/step] Training: 72%|███████▏ | 50709/70000 [17:57:40<6:50:49, 1.28s/step] Training: 72%|███████▏ | 50710/70000 [17:57:42<6:57:41, 1.30s/step] Training: 72%|███████▏ | 50711/70000 [17:57:43<7:01:00, 1.31s/step] Training: 72%|███████▏ | 50712/70000 [17:57:44<7:03:34, 1.32s/step] Training: 72%|███████▏ | 50713/70000 [17:57:45<6:50:53, 1.28s/step] Training: 72%|███████▏ | 50714/70000 [17:57:47<7:08:30, 1.33s/step] Training: 72%|███████▏ | 50715/70000 [17:57:48<7:07:23, 1.33s/step] Training: 72%|███████▏ | 50716/70000 [17:57:49<6:53:39, 1.29s/step] Training: 72%|███████▏ | 50717/70000 [17:57:51<6:45:29, 1.26s/step] Training: 72%|███████▏ | 50718/70000 [17:57:52<6:53:48, 1.29s/step] Training: 72%|███████▏ | 50719/70000 [17:57:53<6:48:27, 1.27s/step] Training: 72%|███████▏ | 50720/70000 [17:57:54<6:53:46, 1.29s/step] Training: 72%|███████▏ | 50721/70000 [17:57:56<6:44:12, 1.26s/step] Training: 72%|███████▏ | 50722/70000 [17:57:57<6:59:24, 1.31s/step] Training: 72%|███████▏ | 50723/70000 [17:57:58<6:52:36, 1.28s/step] Training: 72%|███████▏ | 50724/70000 [17:57:59<6:43:11, 1.25s/step] Training: 72%|███████▏ | 50725/70000 [17:58:01<6:39:46, 1.24s/step] Training: 72%|███████▏ | 50726/70000 [17:58:02<6:38:31, 1.24s/step] Training: 72%|███████▏ | 50727/70000 [17:58:03<6:37:01, 1.24s/step] Training: 72%|███████▏ | 50728/70000 [17:58:05<6:50:13, 1.28s/step] Training: 72%|███████▏ | 50729/70000 [17:58:06<6:41:44, 1.25s/step] Training: 72%|███████▏ | 50730/70000 [17:58:07<6:54:52, 1.29s/step] Training: 72%|███████▏ | 50731/70000 [17:58:08<6:45:44, 1.26s/step] Training: 72%|███████▏ | 50732/70000 [17:58:09<6:38:22, 1.24s/step] Training: 72%|███████▏ | 50733/70000 [17:58:11<6:33:11, 1.22s/step] Training: 72%|███████▏ | 50734/70000 [17:58:12<6:45:57, 1.26s/step] Training: 72%|███████▏ | 50735/70000 [17:58:13<6:52:35, 1.29s/step] Training: 72%|███████▏ | 50736/70000 [17:58:15<6:57:47, 1.30s/step] Training: 72%|███████▏ | 50737/70000 [17:58:16<6:46:55, 1.27s/step] Training: 72%|███████▏ | 50738/70000 [17:58:17<6:56:28, 1.30s/step] Training: 72%|███████▏ | 50739/70000 [17:58:19<6:58:40, 1.30s/step] Training: 72%|███████▏ | 50740/70000 [17:58:21<8:41:30, 1.62s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=47244 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=19347 Training: 72%|███████▏ | 50741/70000 [17:58:25<12:35:16, 2.35s/step] Training: 72%|███████▏ | 50742/70000 [17:58:26<11:02:13, 2.06s/step] Training: 72%|███████▏ | 50743/70000 [17:58:28<9:57:10, 1.86s/step] Training: 72%|███████▏ | 50744/70000 [17:58:29<9:12:20, 1.72s/step] Training: 72%|███████▏ | 50745/70000 [17:58:30<8:20:53, 1.56s/step] Training: 72%|███████▏ | 50746/70000 [17:58:32<8:03:33, 1.51s/step] Training: 72%|███████▏ | 50747/70000 [17:58:33<7:55:05, 1.48s/step] Training: 72%|███████▏ | 50748/70000 [17:58:34<7:26:49, 1.39s/step] Training: 72%|███████▏ | 50749/70000 [17:58:36<7:10:53, 1.34s/step] Training: 72%|███████▎ | 50750/70000 [17:58:37<7:10:35, 1.34s/step] Training: 73%|███████▎ | 50751/70000 [17:58:38<6:59:06, 1.31s/step] Training: 73%|███████▎ | 50752/70000 [17:58:39<6:47:42, 1.27s/step] Training: 73%|███████▎ | 50753/70000 [17:58:41<6:52:29, 1.29s/step] Training: 73%|███████▎ | 50754/70000 [17:58:42<6:59:13, 1.31s/step] Training: 73%|███████▎ | 50755/70000 [17:58:43<7:12:13, 1.35s/step] Training: 73%|███████▎ | 50756/70000 [17:58:45<6:57:02, 1.30s/step] Training: 73%|███████▎ | 50757/70000 [17:58:46<6:53:06, 1.29s/step] Training: 73%|███████▎ | 50758/70000 [17:58:47<6:47:33, 1.27s/step] Training: 73%|███████▎ | 50759/70000 [17:58:48<6:43:16, 1.26s/step] Training: 73%|███████▎ | 50760/70000 [17:58:50<6:36:56, 1.24s/step] Training: 73%|███████▎ | 50761/70000 [17:58:51<6:44:16, 1.26s/step] Training: 73%|███████▎ | 50762/70000 [17:58:52<6:41:45, 1.25s/step] Training: 73%|███████▎ | 50763/70000 [17:58:53<6:39:14, 1.25s/step] Training: 73%|███████▎ | 50764/70000 [17:58:54<6:33:38, 1.23s/step] Training: 73%|███████▎ | 50765/70000 [17:58:56<6:30:05, 1.22s/step] Training: 73%|███████▎ | 50766/70000 [17:58:57<6:42:19, 1.26s/step] Training: 73%|███████▎ | 50767/70000 [17:58:58<6:49:26, 1.28s/step] Training: 73%|███████▎ | 50768/70000 [17:59:00<6:44:56, 1.26s/step] Training: 73%|███████▎ | 50769/70000 [17:59:01<6:38:10, 1.24s/step] Training: 73%|███████▎ | 50770/70000 [17:59:02<6:36:28, 1.24s/step] Training: 73%|███████▎ | 50771/70000 [17:59:03<6:46:23, 1.27s/step] Training: 73%|███████▎ | 50772/70000 [17:59:05<6:53:04, 1.29s/step] Training: 73%|███████▎ | 50773/70000 [17:59:06<6:57:12, 1.30s/step] Training: 73%|███████▎ | 50774/70000 [17:59:07<6:59:21, 1.31s/step] Training: 73%|███████▎ | 50775/70000 [17:59:09<7:01:32, 1.32s/step] Training: 73%|███████▎ | 50776/70000 [17:59:10<6:51:46, 1.29s/step] Training: 73%|███████▎ | 50777/70000 [17:59:11<6:47:35, 1.27s/step] Training: 73%|███████▎ | 50778/70000 [17:59:12<6:53:48, 1.29s/step] Training: 73%|███████▎ | 50779/70000 [17:59:14<6:57:36, 1.30s/step] Training: 73%|███████▎ | 50780/70000 [17:59:15<7:00:54, 1.31s/step] Training: 73%|███████▎ | 50781/70000 [17:59:16<6:50:11, 1.28s/step] Training: 73%|███████▎ | 50782/70000 [17:59:18<6:55:16, 1.30s/step] Training: 73%|███████▎ | 50783/70000 [17:59:19<6:49:50, 1.28s/step] Training: 73%|███████▎ | 50784/70000 [17:59:20<6:54:27, 1.29s/step] Training: 73%|███████▎ | 50785/70000 [17:59:21<6:44:17, 1.26s/step] Training: 73%|███████▎ | 50786/70000 [17:59:23<7:02:36, 1.32s/step] Training: 73%|███████▎ | 50787/70000 [17:59:24<7:03:27, 1.32s/step] Training: 73%|███████▎ | 50788/70000 [17:59:25<6:53:27, 1.29s/step] Training: 73%|███████▎ | 50789/70000 [17:59:27<6:47:18, 1.27s/step] Training: 73%|███████▎ | 50790/70000 [17:59:28<6:43:16, 1.26s/step] Training: 73%|███████▎ | 50791/70000 [17:59:29<6:37:50, 1.24s/step] Training: 73%|███████▎ | 50792/70000 [17:59:30<6:46:39, 1.27s/step] Training: 73%|███████▎ | 50793/70000 [17:59:32<6:38:58, 1.25s/step] Training: 73%|███████▎ | 50794/70000 [17:59:33<6:45:42, 1.27s/step] Training: 73%|███████▎ | 50795/70000 [17:59:34<6:40:18, 1.25s/step] Training: 73%|███████▎ | 50796/70000 [17:59:35<6:41:35, 1.25s/step] Training: 73%|███████▎ | 50797/70000 [17:59:37<6:34:14, 1.23s/step] Training: 73%|███████▎ | 50798/70000 [17:59:38<6:45:27, 1.27s/step] Training: 73%|███████▎ | 50799/70000 [17:59:39<6:51:24, 1.29s/step] Training: 73%|███████▎ | 50800/70000 [17:59:41<6:46:19, 1.27s/step]INFO 2026-03-13 14:09:33 ot_train.py:435 step:51K smpl:3M ep:11K epch:43.06 loss:0.008 grdn:1.083 lr:5.2e-06 updt_s:1.257 data_s:0.059 Training: 73%|███████▎ | 50801/70000 [17:59:42<6:51:38, 1.29s/step] Training: 73%|███████▎ | 50802/70000 [17:59:43<6:44:33, 1.26s/step] Training: 73%|███████▎ | 50803/70000 [17:59:44<6:50:38, 1.28s/step] Training: 73%|███████▎ | 50804/70000 [17:59:46<6:41:51, 1.26s/step] Training: 73%|███████▎ | 50805/70000 [17:59:47<6:50:08, 1.28s/step] Training: 73%|███████▎ | 50806/70000 [17:59:48<6:54:45, 1.30s/step] Training: 73%|███████▎ | 50807/70000 [17:59:50<6:58:52, 1.31s/step] Training: 73%|███████▎ | 50808/70000 [17:59:51<6:49:20, 1.28s/step] Training: 73%|███████▎ | 50809/70000 [17:59:52<6:53:52, 1.29s/step] Training: 73%|███████▎ | 50810/70000 [17:59:53<6:57:49, 1.31s/step] Training: 73%|███████▎ | 50811/70000 [17:59:55<7:00:17, 1.31s/step] Training: 73%|███████▎ | 50812/70000 [17:59:56<6:48:27, 1.28s/step] Training: 73%|███████▎ | 50813/70000 [17:59:57<6:47:43, 1.28s/step] Training: 73%|███████▎ | 50814/70000 [17:59:59<6:52:32, 1.29s/step] Training: 73%|███████▎ | 50815/70000 [18:00:00<6:47:19, 1.27s/step] Training: 73%|███████▎ | 50816/70000 [18:00:01<6:52:47, 1.29s/step] Training: 73%|███████▎ | 50817/70000 [18:00:02<6:46:52, 1.27s/step] Training: 73%|███████▎ | 50818/70000 [18:00:04<6:52:23, 1.29s/step] Training: 73%|███████▎ | 50819/70000 [18:00:05<6:57:06, 1.30s/step] Training: 73%|███████▎ | 50820/70000 [18:00:06<6:46:09, 1.27s/step] Training: 73%|███████▎ | 50821/70000 [18:00:07<6:40:58, 1.25s/step] Training: 73%|███████▎ | 50822/70000 [18:00:09<6:50:40, 1.28s/step] Training: 73%|███████▎ | 50823/70000 [18:00:10<6:42:22, 1.26s/step] Training: 73%|███████▎ | 50824/70000 [18:00:11<6:50:53, 1.29s/step] Training: 73%|███████▎ | 50825/70000 [18:00:13<6:47:40, 1.28s/step] Training: 73%|███████▎ | 50826/70000 [18:00:14<6:43:49, 1.26s/step] Training: 73%|███████▎ | 50827/70000 [18:00:15<6:39:05, 1.25s/step] Training: 73%|███████▎ | 50828/70000 [18:00:16<6:33:44, 1.23s/step] Training: 73%|███████▎ | 50829/70000 [18:00:18<6:46:00, 1.27s/step] Training: 73%|███████▎ | 50830/70000 [18:00:19<6:38:51, 1.25s/step] Training: 73%|███████▎ | 50831/70000 [18:00:20<6:46:37, 1.27s/step] Training: 73%|███████▎ | 50832/70000 [18:00:21<6:41:42, 1.26s/step] Training: 73%|███████▎ | 50833/70000 [18:00:23<6:48:01, 1.28s/step] Training: 73%|███████▎ | 50834/70000 [18:00:24<6:41:29, 1.26s/step] Training: 73%|███████▎ | 50835/70000 [18:00:25<6:48:59, 1.28s/step] Training: 73%|███████▎ | 50836/70000 [18:00:26<6:40:22, 1.25s/step] Training: 73%|███████▎ | 50837/70000 [18:00:28<6:47:11, 1.27s/step] Training: 73%|███████▎ | 50838/70000 [18:00:29<6:53:09, 1.29s/step] Training: 73%|███████▎ | 50839/70000 [18:00:31<7:06:58, 1.34s/step] Training: 73%|███████▎ | 50840/70000 [18:00:32<6:55:31, 1.30s/step] Training: 73%|███████▎ | 50841/70000 [18:00:33<6:58:40, 1.31s/step] Training: 73%|███████▎ | 50842/70000 [18:00:34<7:00:40, 1.32s/step] Training: 73%|███████▎ | 50843/70000 [18:00:36<7:02:50, 1.32s/step] Training: 73%|███████▎ | 50844/70000 [18:00:37<6:49:52, 1.28s/step] Training: 73%|███████▎ | 50845/70000 [18:00:38<6:44:34, 1.27s/step] Training: 73%|███████▎ | 50846/70000 [18:00:39<6:51:15, 1.29s/step] Training: 73%|███████▎ | 50847/70000 [18:00:41<6:43:27, 1.26s/step] Training: 73%|███████▎ | 50848/70000 [18:00:42<6:49:37, 1.28s/step] Training: 73%|███████▎ | 50849/70000 [18:00:43<6:44:39, 1.27s/step] Training: 73%|███████▎ | 50850/70000 [18:00:45<6:49:59, 1.28s/step] Training: 73%|███████▎ | 50851/70000 [18:00:46<6:54:46, 1.30s/step] Training: 73%|███████▎ | 50852/70000 [18:00:47<6:44:01, 1.27s/step] Training: 73%|███████▎ | 50853/70000 [18:00:48<6:38:48, 1.25s/step] Training: 73%|███████▎ | 50854/70000 [18:00:50<6:37:52, 1.25s/step] Training: 73%|███████▎ | 50855/70000 [18:00:51<6:37:46, 1.25s/step] Training: 73%|███████▎ | 50856/70000 [18:00:52<6:45:58, 1.27s/step] Training: 73%|███████▎ | 50857/70000 [18:00:53<6:40:29, 1.26s/step] Training: 73%|███████▎ | 50858/70000 [18:00:55<6:38:04, 1.25s/step] Training: 73%|███████▎ | 50859/70000 [18:00:56<6:33:56, 1.23s/step] Training: 73%|███████▎ | 50860/70000 [18:00:57<6:29:27, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=47244 Training: 73%|███████▎ | 50861/70000 [18:00:58<6:40:40, 1.26s/step] Training: 73%|███████▎ | 50862/70000 [18:01:00<6:41:18, 1.26s/step] Training: 73%|███████▎ | 50863/70000 [18:01:01<6:34:35, 1.24s/step] Training: 73%|███████▎ | 50864/70000 [18:01:02<6:42:41, 1.26s/step] Training: 73%|███████▎ | 50865/70000 [18:01:03<6:49:09, 1.28s/step] Training: 73%|███████▎ | 50866/70000 [18:01:05<6:43:32, 1.27s/step] Training: 73%|███████▎ | 50867/70000 [18:01:06<6:50:06, 1.29s/step] Training: 73%|███████▎ | 50868/70000 [18:01:07<6:40:37, 1.26s/step] Training: 73%|███████▎ | 50869/70000 [18:01:08<6:47:11, 1.28s/step] Training: 73%|███████▎ | 50870/70000 [18:01:10<6:52:16, 1.29s/step] Training: 73%|███████▎ | 50871/70000 [18:01:11<6:55:11, 1.30s/step] Training: 73%|███████▎ | 50872/70000 [18:01:12<6:45:56, 1.27s/step] Training: 73%|███████▎ | 50873/70000 [18:01:14<6:50:38, 1.29s/step] Training: 73%|███████▎ | 50874/70000 [18:01:15<6:55:30, 1.30s/step] Training: 73%|███████▎ | 50875/70000 [18:01:16<6:57:59, 1.31s/step] Training: 73%|███████▎ | 50876/70000 [18:01:18<6:46:10, 1.27s/step] Training: 73%|███████▎ | 50877/70000 [18:01:19<6:41:08, 1.26s/step] Training: 73%|███████▎ | 50878/70000 [18:01:20<6:47:43, 1.28s/step] Training: 73%|███████▎ | 50879/70000 [18:01:21<6:53:33, 1.30s/step] Training: 73%|███████▎ | 50880/70000 [18:01:23<6:55:06, 1.30s/step] Training: 73%|███████▎ | 50881/70000 [18:01:24<6:49:04, 1.28s/step] Training: 73%|███████▎ | 50882/70000 [18:01:25<6:53:41, 1.30s/step] Training: 73%|███████▎ | 50883/70000 [18:01:27<6:57:33, 1.31s/step] Training: 73%|███████▎ | 50884/70000 [18:01:28<6:46:01, 1.27s/step] Training: 73%|███████▎ | 50885/70000 [18:01:29<6:39:56, 1.26s/step] Training: 73%|███████▎ | 50886/70000 [18:01:30<6:46:28, 1.28s/step] Training: 73%|███████▎ | 50887/70000 [18:01:32<6:50:04, 1.29s/step] Training: 73%|███████▎ | 50888/70000 [18:01:33<6:54:53, 1.30s/step] Training: 73%|███████▎ | 50889/70000 [18:01:34<6:45:06, 1.27s/step] Training: 73%|███████▎ | 50890/70000 [18:01:35<6:41:02, 1.26s/step] Training: 73%|███████▎ | 50891/70000 [18:01:37<6:36:00, 1.24s/step] Training: 73%|███████▎ | 50892/70000 [18:01:38<6:31:39, 1.23s/step] Training: 73%|███████▎ | 50893/70000 [18:01:39<6:40:49, 1.26s/step] Training: 73%|███████▎ | 50894/70000 [18:01:40<6:34:39, 1.24s/step] Training: 73%|███████▎ | 50895/70000 [18:01:42<6:56:17, 1.31s/step] Training: 73%|███████▎ | 50896/70000 [18:01:43<6:44:00, 1.27s/step] Training: 73%|███████▎ | 50897/70000 [18:01:44<6:49:51, 1.29s/step] Training: 73%|███████▎ | 50898/70000 [18:01:46<6:43:30, 1.27s/step] Training: 73%|███████▎ | 50899/70000 [18:01:47<6:49:35, 1.29s/step] Training: 73%|███████▎ | 50900/70000 [18:01:48<6:40:17, 1.26s/step]INFO 2026-03-13 14:11:40 ot_train.py:435 step:51K smpl:3M ep:11K epch:43.14 loss:0.008 grdn:0.663 lr:5.2e-06 updt_s:1.255 data_s:0.019 Training: 73%|███████▎ | 50901/70000 [18:01:49<6:47:45, 1.28s/step] Training: 73%|███████▎ | 50902/70000 [18:01:51<6:52:15, 1.30s/step] Training: 73%|███████▎ | 50903/70000 [18:01:52<6:57:57, 1.31s/step] Training: 73%|███████▎ | 50904/70000 [18:01:53<6:48:12, 1.28s/step] Training: 73%|███████▎ | 50905/70000 [18:01:55<6:52:25, 1.30s/step] Training: 73%|███████▎ | 50906/70000 [18:01:56<6:55:39, 1.31s/step] Training: 73%|███████▎ | 50907/70000 [18:01:57<6:57:23, 1.31s/step] Training: 73%|███████▎ | 50908/70000 [18:01:58<6:45:19, 1.27s/step] Training: 73%|███████▎ | 50909/70000 [18:02:00<6:40:28, 1.26s/step] Training: 73%|███████▎ | 50910/70000 [18:02:01<6:36:10, 1.25s/step] Training: 73%|███████▎ | 50911/70000 [18:02:02<6:33:04, 1.24s/step] Training: 73%|███████▎ | 50912/70000 [18:02:04<6:51:24, 1.29s/step] Training: 73%|███████▎ | 50913/70000 [18:02:05<6:44:43, 1.27s/step] Training: 73%|███████▎ | 50914/70000 [18:02:06<6:50:24, 1.29s/step] Training: 73%|███████▎ | 50915/70000 [18:02:07<6:53:44, 1.30s/step] Training: 73%|███████▎ | 50916/70000 [18:02:09<6:43:28, 1.27s/step] Training: 73%|███████▎ | 50917/70000 [18:02:10<6:38:38, 1.25s/step] Training: 73%|███████▎ | 50918/70000 [18:02:11<6:35:44, 1.24s/step] Training: 73%|███████▎ | 50919/70000 [18:02:12<6:35:49, 1.24s/step] Training: 73%|███████▎ | 50920/70000 [18:02:14<6:54:54, 1.30s/step] Training: 73%|███████▎ | 50921/70000 [18:02:15<6:46:33, 1.28s/step] Training: 73%|███████▎ | 50922/70000 [18:02:16<6:41:59, 1.26s/step] Training: 73%|███████▎ | 50923/70000 [18:02:17<6:36:22, 1.25s/step] Training: 73%|███████▎ | 50924/70000 [18:02:19<6:30:47, 1.23s/step] Training: 73%|███████▎ | 50925/70000 [18:02:20<6:40:24, 1.26s/step] Training: 73%|███████▎ | 50926/70000 [18:02:21<6:33:28, 1.24s/step] Training: 73%|███████▎ | 50927/70000 [18:02:22<6:40:57, 1.26s/step] Training: 73%|███████▎ | 50928/70000 [18:02:24<6:47:52, 1.28s/step] Training: 73%|███████▎ | 50929/70000 [18:02:25<6:52:21, 1.30s/step] Training: 73%|███████▎ | 50930/70000 [18:02:26<6:45:09, 1.27s/step] Training: 73%|███████▎ | 50931/70000 [18:02:28<6:49:46, 1.29s/step] Training: 73%|███████▎ | 50932/70000 [18:02:29<6:40:05, 1.26s/step] Training: 73%|███████▎ | 50933/70000 [18:02:30<6:46:45, 1.28s/step] Training: 73%|███████▎ | 50934/70000 [18:02:31<6:38:02, 1.25s/step] Training: 73%|███████▎ | 50935/70000 [18:02:33<6:31:46, 1.23s/step] Training: 73%|███████▎ | 50936/70000 [18:02:34<6:43:43, 1.27s/step] Training: 73%|███████▎ | 50937/70000 [18:02:35<6:47:42, 1.28s/step] Training: 73%|███████▎ | 50938/70000 [18:02:37<6:52:51, 1.30s/step] Training: 73%|███████▎ | 50939/70000 [18:02:38<6:55:19, 1.31s/step] Training: 73%|███████▎ | 50940/70000 [18:02:39<6:43:53, 1.27s/step] Training: 73%|███████▎ | 50941/70000 [18:02:40<6:40:31, 1.26s/step] Training: 73%|███████▎ | 50942/70000 [18:02:42<6:37:22, 1.25s/step] Training: 73%|███████▎ | 50943/70000 [18:02:43<6:34:55, 1.24s/step] Training: 73%|███████▎ | 50944/70000 [18:02:44<6:42:24, 1.27s/step] Training: 73%|███████▎ | 50945/70000 [18:02:45<6:38:19, 1.25s/step] Training: 73%|███████▎ | 50946/70000 [18:02:47<6:44:47, 1.27s/step] Training: 73%|███████▎ | 50947/70000 [18:02:48<6:49:56, 1.29s/step] Training: 73%|███████▎ | 50948/70000 [18:02:49<6:40:11, 1.26s/step] Training: 73%|███████▎ | 50949/70000 [18:02:50<6:36:33, 1.25s/step] Training: 73%|███████▎ | 50950/70000 [18:02:52<6:32:12, 1.24s/step] Training: 73%|███████▎ | 50951/70000 [18:02:53<6:30:18, 1.23s/step] Training: 73%|███████▎ | 50952/70000 [18:02:54<6:39:38, 1.26s/step] Training: 73%|███████▎ | 50953/70000 [18:02:55<6:48:48, 1.29s/step] Training: 73%|███████▎ | 50954/70000 [18:02:57<6:42:28, 1.27s/step] Training: 73%|███████▎ | 50955/70000 [18:02:58<6:36:58, 1.25s/step] Training: 73%|███████▎ | 50956/70000 [18:02:59<6:31:04, 1.23s/step] Training: 73%|███████▎ | 50957/70000 [18:03:00<6:39:24, 1.26s/step] Training: 73%|███████▎ | 50958/70000 [18:03:02<6:46:07, 1.28s/step] Training: 73%|███████▎ | 50959/70000 [18:03:03<6:50:15, 1.29s/step] Training: 73%|███████▎ | 50960/70000 [18:03:04<6:43:31, 1.27s/step] Training: 73%|███████▎ | 50961/70000 [18:03:06<6:57:42, 1.32s/step] Training: 73%|███████▎ | 50962/70000 [18:03:07<6:49:36, 1.29s/step] Training: 73%|███████▎ | 50963/70000 [18:03:08<6:54:08, 1.31s/step] Training: 73%|███████▎ | 50964/70000 [18:03:09<6:43:42, 1.27s/step] Training: 73%|███████▎ | 50965/70000 [18:03:11<6:48:29, 1.29s/step] Training: 73%|███████▎ | 50966/70000 [18:03:12<6:51:48, 1.30s/step] Training: 73%|███████▎ | 50967/70000 [18:03:13<6:54:35, 1.31s/step] Training: 73%|███████▎ | 50968/70000 [18:03:15<6:45:12, 1.28s/step] Training: 73%|███████▎ | 50969/70000 [18:03:16<6:53:25, 1.30s/step] Training: 73%|███████▎ | 50970/70000 [18:03:17<6:54:10, 1.31s/step] Training: 73%|███████▎ | 50971/70000 [18:03:19<6:58:03, 1.32s/step] Training: 73%|███████▎ | 50972/70000 [18:03:20<6:45:30, 1.28s/step] Training: 73%|███████▎ | 50973/70000 [18:03:21<6:39:14, 1.26s/step] Training: 73%|███████▎ | 50974/70000 [18:03:22<6:37:14, 1.25s/step] Training: 73%|███████▎ | 50975/70000 [18:03:24<6:36:26, 1.25s/step] Training: 73%|███████▎ | 50976/70000 [18:03:25<6:43:17, 1.27s/step] Training: 73%|███████▎ | 50977/70000 [18:03:26<6:38:32, 1.26s/step] Training: 73%|███████▎ | 50978/70000 [18:03:28<6:57:19, 1.32s/step] Training: 73%|███████▎ | 50979/70000 [18:03:29<6:58:18, 1.32s/step] Training: 73%|███████▎ | 50980/70000 [18:03:30<6:45:50, 1.28s/step] Training: 73%|███████▎ | 50981/70000 [18:03:31<6:40:28, 1.26s/step] Training: 73%|███████▎ | 50982/70000 [18:03:33<6:35:59, 1.25s/step] Training: 73%|███████▎ | 50983/70000 [18:03:34<6:32:39, 1.24s/step] Training: 73%|███████▎ | 50984/70000 [18:03:35<6:40:41, 1.26s/step] Training: 73%|███████▎ | 50985/70000 [18:03:36<6:35:14, 1.25s/step] Training: 73%|███████▎ | 50986/70000 [18:03:38<6:44:30, 1.28s/step] Training: 73%|███████▎ | 50987/70000 [18:03:39<6:36:18, 1.25s/step] Training: 73%|███████▎ | 50988/70000 [18:03:40<6:30:16, 1.23s/step] Training: 73%|███████▎ | 50989/70000 [18:03:41<6:27:15, 1.22s/step] Training: 73%|███████▎ | 50990/70000 [18:03:43<6:49:08, 1.29s/step] Training: 73%|███████▎ | 50991/70000 [18:03:44<6:52:49, 1.30s/step] Training: 73%|███████▎ | 50992/70000 [18:03:45<6:45:40, 1.28s/step] Training: 73%|███████▎ | 50993/70000 [18:03:47<6:50:00, 1.29s/step] Training: 73%|███████▎ | 50994/70000 [18:03:48<6:42:00, 1.27s/step] Training: 73%|███████▎ | 50995/70000 [18:03:49<6:47:45, 1.29s/step] Training: 73%|███████▎ | 50996/70000 [18:03:50<6:38:11, 1.26s/step] Training: 73%|███████▎ | 50997/70000 [18:03:51<6:32:37, 1.24s/step] Training: 73%|███████▎ | 50998/70000 [18:03:53<6:39:43, 1.26s/step] Training: 73%|███████▎ | 50999/70000 [18:03:54<6:45:23, 1.28s/step] Training: 73%|███████▎ | 51000/70000 [18:03:55<6:40:09, 1.26s/step]INFO 2026-03-13 14:13:47 ot_train.py:435 step:51K smpl:3M ep:11K epch:43.23 loss:0.008 grdn:0.688 lr:5.1e-06 updt_s:1.251 data_s:0.019 Training: 73%|███████▎ | 51001/70000 [18:03:57<6:45:52, 1.28s/step] Training: 73%|███████▎ | 51002/70000 [18:03:58<6:54:35, 1.31s/step] Training: 73%|███████▎ | 51003/70000 [18:03:59<6:56:55, 1.32s/step] Training: 73%|███████▎ | 51004/70000 [18:04:01<6:45:08, 1.28s/step] Training: 73%|███████▎ | 51005/70000 [18:04:02<6:39:40, 1.26s/step] Training: 73%|███████▎ | 51006/70000 [18:04:03<6:36:09, 1.25s/step] Training: 73%|███████▎ | 51007/70000 [18:04:04<6:34:41, 1.25s/step] Training: 73%|███████▎ | 51008/70000 [18:04:05<6:29:22, 1.23s/step] Training: 73%|███████▎ | 51009/70000 [18:04:07<6:36:24, 1.25s/step] Training: 73%|███████▎ | 51010/70000 [18:04:08<6:43:25, 1.27s/step] Training: 73%|███████▎ | 51011/70000 [18:04:09<6:48:08, 1.29s/step] Training: 73%|███████▎ | 51012/70000 [18:04:11<6:38:28, 1.26s/step] Training: 73%|███████▎ | 51013/70000 [18:04:12<6:35:27, 1.25s/step] Training: 73%|███████▎ | 51014/70000 [18:04:13<6:31:59, 1.24s/step] Training: 73%|███████▎ | 51015/70000 [18:04:14<6:29:51, 1.23s/step] Training: 73%|███████▎ | 51016/70000 [18:04:16<6:39:12, 1.26s/step] Training: 73%|███████▎ | 51017/70000 [18:04:17<6:33:57, 1.25s/step] Training: 73%|███████▎ | 51018/70000 [18:04:18<6:32:32, 1.24s/step] Training: 73%|███████▎ | 51019/70000 [18:04:19<6:41:18, 1.27s/step] Training: 73%|███████▎ | 51020/70000 [18:04:20<6:32:56, 1.24s/step] Training: 73%|███████▎ | 51021/70000 [18:04:22<6:41:05, 1.27s/step] Training: 73%|███████▎ | 51022/70000 [18:04:23<6:46:18, 1.28s/step] Training: 73%|███████▎ | 51023/70000 [18:04:24<6:37:08, 1.26s/step] Training: 73%|███████▎ | 51024/70000 [18:04:26<6:44:57, 1.28s/step] Training: 73%|███████▎ | 51025/70000 [18:04:27<7:00:32, 1.33s/step] Training: 73%|███████▎ | 51026/70000 [18:04:28<6:49:15, 1.29s/step] Training: 73%|███████▎ | 51027/70000 [18:04:30<6:56:58, 1.32s/step] Training: 73%|███████▎ | 51028/70000 [18:04:31<6:44:44, 1.28s/step] Training: 73%|███████▎ | 51029/70000 [18:04:32<6:49:13, 1.29s/step] Training: 73%|███████▎ | 51030/70000 [18:04:34<6:52:47, 1.31s/step] Training: 73%|███████▎ | 51031/70000 [18:04:35<6:41:54, 1.27s/step] Training: 73%|███████▎ | 51032/70000 [18:04:36<6:40:30, 1.27s/step] Training: 73%|███████▎ | 51033/70000 [18:04:37<6:57:14, 1.32s/step] Training: 73%|███████▎ | 51034/70000 [18:04:39<6:57:53, 1.32s/step] Training: 73%|███████▎ | 51035/70000 [18:04:40<6:50:01, 1.30s/step] Training: 73%|███████▎ | 51036/70000 [18:04:41<6:50:26, 1.30s/step] Training: 73%|███████▎ | 51037/70000 [18:04:43<6:43:28, 1.28s/step] Training: 73%|███████▎ | 51038/70000 [18:04:44<6:38:33, 1.26s/step] Training: 73%|███████▎ | 51039/70000 [18:04:45<6:32:05, 1.24s/step] Training: 73%|███████▎ | 51040/70000 [18:04:46<6:30:10, 1.23s/step] Training: 73%|███████▎ | 51041/70000 [18:04:47<6:29:36, 1.23s/step] Training: 73%|███████▎ | 51042/70000 [18:04:49<6:38:07, 1.26s/step] Training: 73%|███████▎ | 51043/70000 [18:04:50<6:31:35, 1.24s/step] Training: 73%|███████▎ | 51044/70000 [18:04:51<6:50:39, 1.30s/step] Training: 73%|███████▎ | 51045/70000 [18:04:53<6:42:59, 1.28s/step] Training: 73%|███████▎ | 51046/70000 [18:04:54<6:37:50, 1.26s/step] Training: 73%|███████▎ | 51047/70000 [18:04:55<6:31:36, 1.24s/step] Training: 73%|███████▎ | 51048/70000 [18:04:56<6:40:49, 1.27s/step] Training: 73%|███████▎ | 51049/70000 [18:04:58<6:37:30, 1.26s/step] Training: 73%|███████▎ | 51050/70000 [18:04:59<6:34:40, 1.25s/step] Training: 73%|███████▎ | 51051/70000 [18:05:00<6:28:46, 1.23s/step] Training: 73%|███████▎ | 51052/70000 [18:05:01<6:35:11, 1.25s/step] Training: 73%|███████▎ | 51053/70000 [18:05:03<6:41:38, 1.27s/step] Training: 73%|███████▎ | 51054/70000 [18:05:04<6:47:17, 1.29s/step] Training: 73%|███████▎ | 51055/70000 [18:05:05<6:37:44, 1.26s/step] Training: 73%|███████▎ | 51056/70000 [18:05:06<6:45:03, 1.28s/step] Training: 73%|███████▎ | 51057/70000 [18:05:08<6:37:11, 1.26s/step] Training: 73%|███████▎ | 51058/70000 [18:05:09<6:44:54, 1.28s/step] Training: 73%|███████▎ | 51059/70000 [18:05:10<6:36:30, 1.26s/step] Training: 73%|███████▎ | 51060/70000 [18:05:12<6:47:01, 1.29s/step] Training: 73%|███████▎ | 51061/70000 [18:05:13<6:49:42, 1.30s/step] Training: 73%|███████▎ | 51062/70000 [18:05:14<6:52:49, 1.31s/step] Training: 73%|███████▎ | 51063/70000 [18:05:15<6:41:39, 1.27s/step] Training: 73%|███████▎ | 51064/70000 [18:05:17<6:47:02, 1.29s/step] Training: 73%|███████▎ | 51065/70000 [18:05:18<6:49:52, 1.30s/step] Training: 73%|███████▎ | 51066/70000 [18:05:19<6:52:48, 1.31s/step] Training: 73%|███████▎ | 51067/70000 [18:05:21<6:41:45, 1.27s/step] Training: 73%|███████▎ | 51068/70000 [18:05:22<6:49:48, 1.30s/step] Training: 73%|███████▎ | 51069/70000 [18:05:23<6:41:52, 1.27s/step] Training: 73%|███████▎ | 51070/70000 [18:05:24<6:37:59, 1.26s/step] Training: 73%|███████▎ | 51071/70000 [18:05:26<6:31:12, 1.24s/step] Training: 73%|███████▎ | 51072/70000 [18:05:27<6:28:50, 1.23s/step] Training: 73%|███████▎ | 51073/70000 [18:05:28<6:26:26, 1.23s/step] Training: 73%|███████▎ | 51074/70000 [18:05:29<6:35:21, 1.25s/step] Training: 73%|███████▎ | 51075/70000 [18:05:30<6:29:20, 1.23s/step] Training: 73%|███████▎ | 51076/70000 [18:05:32<6:25:10, 1.22s/step] Training: 73%|███████▎ | 51077/70000 [18:05:33<6:39:35, 1.27s/step] Training: 73%|███████▎ | 51078/70000 [18:05:34<6:34:20, 1.25s/step] Training: 73%|███████▎ | 51079/70000 [18:05:35<6:28:52, 1.23s/step] Training: 73%|███████▎ | 51080/70000 [18:05:37<6:39:30, 1.27s/step] Training: 73%|███████▎ | 51081/70000 [18:05:38<6:34:59, 1.25s/step] Training: 73%|███████▎ | 51082/70000 [18:05:39<6:33:53, 1.25s/step] Training: 73%|███████▎ | 51083/70000 [18:05:40<6:28:12, 1.23s/step] Training: 73%|███████▎ | 51084/70000 [18:05:42<6:24:08, 1.22s/step] Training: 73%|███████▎ | 51085/70000 [18:05:43<6:44:19, 1.28s/step] Training: 73%|███████▎ | 51086/70000 [18:05:44<6:49:46, 1.30s/step] Training: 73%|███████▎ | 51087/70000 [18:05:46<6:39:01, 1.27s/step] Training: 73%|███████▎ | 51088/70000 [18:05:47<6:45:38, 1.29s/step] Training: 73%|███████▎ | 51089/70000 [18:05:48<6:36:10, 1.26s/step] Training: 73%|███████▎ | 51090/70000 [18:05:49<6:46:24, 1.29s/step] Training: 73%|███████▎ | 51091/70000 [18:05:51<6:36:58, 1.26s/step] Training: 73%|███████▎ | 51092/70000 [18:05:52<6:34:30, 1.25s/step] Training: 73%|███████▎ | 51093/70000 [18:05:53<6:52:24, 1.31s/step] Training: 73%|███████▎ | 51094/70000 [18:05:55<6:53:57, 1.31s/step] Training: 73%|███████▎ | 51095/70000 [18:05:56<6:41:53, 1.28s/step] Training: 73%|███████▎ | 51096/70000 [18:05:57<6:49:30, 1.30s/step] Training: 73%|███████▎ | 51097/70000 [18:05:58<6:38:42, 1.27s/step] Training: 73%|███████▎ | 51098/70000 [18:06:00<6:44:53, 1.29s/step] Training: 73%|███████▎ | 51099/70000 [18:06:01<6:35:48, 1.26s/step] Training: 73%|███████▎ | 51100/70000 [18:06:02<6:31:11, 1.24s/step]INFO 2026-03-13 14:15:54 ot_train.py:435 step:51K smpl:3M ep:11K epch:43.31 loss:0.008 grdn:0.678 lr:5.1e-06 updt_s:1.247 data_s:0.019 Training: 73%|███████▎ | 51101/70000 [18:06:03<6:30:36, 1.24s/step] Training: 73%|███████▎ | 51102/70000 [18:06:05<6:40:40, 1.27s/step] Training: 73%|███████▎ | 51103/70000 [18:06:06<6:31:57, 1.24s/step] Training: 73%|███████▎ | 51104/70000 [18:06:07<6:28:56, 1.23s/step] Training: 73%|███████▎ | 51105/70000 [18:06:08<6:25:30, 1.22s/step] Training: 73%|███████▎ | 51106/70000 [18:06:10<6:34:39, 1.25s/step] Training: 73%|███████▎ | 51107/70000 [18:06:11<6:28:47, 1.23s/step] Training: 73%|███████▎ | 51108/70000 [18:06:12<6:36:59, 1.26s/step] Training: 73%|███████▎ | 51109/70000 [18:06:13<6:31:35, 1.24s/step] Training: 73%|███████▎ | 51110/70000 [18:06:15<6:41:15, 1.27s/step] Training: 73%|███████▎ | 51111/70000 [18:06:16<6:32:32, 1.25s/step] Training: 73%|███████▎ | 51112/70000 [18:06:17<6:40:20, 1.27s/step] Training: 73%|███████▎ | 51113/70000 [18:06:18<6:35:46, 1.26s/step] Training: 73%|███████▎ | 51114/70000 [18:06:20<6:33:29, 1.25s/step] Training: 73%|███████▎ | 51115/70000 [18:06:21<6:27:39, 1.23s/step] Training: 73%|███████▎ | 51116/70000 [18:06:22<6:36:30, 1.26s/step] Training: 73%|███████▎ | 51117/70000 [18:06:24<6:43:56, 1.28s/step] Training: 73%|███████▎ | 51118/70000 [18:06:25<6:51:19, 1.31s/step] Training: 73%|███████▎ | 51119/70000 [18:06:26<6:40:08, 1.27s/step] Training: 73%|███████▎ | 51120/70000 [18:06:27<6:45:46, 1.29s/step] Training: 73%|███████▎ | 51121/70000 [18:06:29<6:36:33, 1.26s/step] Training: 73%|███████▎ | 51122/70000 [18:06:30<6:44:30, 1.29s/step] Training: 73%|███████▎ | 51123/70000 [18:06:31<6:35:53, 1.26s/step] Training: 73%|███████▎ | 51124/70000 [18:06:32<6:32:30, 1.25s/step] Training: 73%|███████▎ | 51125/70000 [18:06:34<6:41:04, 1.27s/step] Training: 73%|███████▎ | 51126/70000 [18:06:35<6:46:02, 1.29s/step] Training: 73%|███████▎ | 51127/70000 [18:06:36<6:38:01, 1.27s/step] Training: 73%|███████▎ | 51128/70000 [18:06:38<6:45:33, 1.29s/step] Training: 73%|███████▎ | 51129/70000 [18:06:39<6:49:09, 1.30s/step] Training: 73%|███████▎ | 51130/70000 [18:06:40<6:51:40, 1.31s/step] Training: 73%|███████▎ | 51131/70000 [18:06:41<6:40:34, 1.27s/step] Training: 73%|███████▎ | 51132/70000 [18:06:43<6:35:21, 1.26s/step] Training: 73%|███████▎ | 51133/70000 [18:06:44<6:31:13, 1.24s/step] Training: 73%|███████▎ | 51134/70000 [18:06:45<6:31:30, 1.25s/step] Training: 73%|███████▎ | 51135/70000 [18:06:46<6:40:23, 1.27s/step] Training: 73%|███████▎ | 51136/70000 [18:06:48<6:33:29, 1.25s/step] Training: 73%|███████▎ | 51137/70000 [18:06:49<6:29:32, 1.24s/step] Training: 73%|███████▎ | 51138/70000 [18:06:50<6:38:26, 1.27s/step] Training: 73%|███████▎ | 51139/70000 [18:06:51<6:31:07, 1.24s/step] Training: 73%|███████▎ | 51140/70000 [18:06:53<6:38:52, 1.27s/step] Training: 73%|███████▎ | 51141/70000 [18:06:54<6:35:36, 1.26s/step] Training: 73%|███████▎ | 51142/70000 [18:06:55<6:30:50, 1.24s/step] Training: 73%|███████▎ | 51143/70000 [18:06:56<6:32:15, 1.25s/step] Training: 73%|███████▎ | 51144/70000 [18:06:58<6:39:51, 1.27s/step] Training: 73%|███████▎ | 51145/70000 [18:06:59<6:35:32, 1.26s/step] Training: 73%|███████▎ | 51146/70000 [18:07:00<6:32:51, 1.25s/step] Training: 73%|███████▎ | 51147/70000 [18:07:01<6:27:20, 1.23s/step] Training: 73%|███████▎ | 51148/70000 [18:07:03<6:36:14, 1.26s/step] Training: 73%|███████▎ | 51149/70000 [18:07:04<6:29:21, 1.24s/step] Training: 73%|███████▎ | 51150/70000 [18:07:05<6:50:13, 1.31s/step] Training: 73%|███████▎ | 51151/70000 [18:07:07<6:39:18, 1.27s/step] Training: 73%|███████▎ | 51152/70000 [18:07:08<6:56:08, 1.32s/step] Training: 73%|███████▎ | 51153/70000 [18:07:09<6:43:32, 1.28s/step] Training: 73%|███████▎ | 51154/70000 [18:07:11<6:47:36, 1.30s/step] Training: 73%|███████▎ | 51155/70000 [18:07:12<6:37:05, 1.26s/step] Training: 73%|███████▎ | 51156/70000 [18:07:13<6:33:15, 1.25s/step] Training: 73%|███████▎ | 51157/70000 [18:07:14<6:40:17, 1.27s/step] Training: 73%|███████▎ | 51158/70000 [18:07:16<6:45:06, 1.29s/step] Training: 73%|███████▎ | 51159/70000 [18:07:17<6:52:14, 1.31s/step] Training: 73%|███████▎ | 51160/70000 [18:07:18<6:55:57, 1.32s/step] Training: 73%|███████▎ | 51161/70000 [18:07:20<6:56:52, 1.33s/step] Training: 73%|███████▎ | 51162/70000 [18:07:21<6:57:47, 1.33s/step] Training: 73%|███████▎ | 51163/70000 [18:07:22<6:44:56, 1.29s/step] Training: 73%|███████▎ | 51164/70000 [18:07:23<6:37:31, 1.27s/step] Training: 73%|███████▎ | 51165/70000 [18:07:25<6:31:19, 1.25s/step] Training: 73%|███████▎ | 51166/70000 [18:07:26<6:31:08, 1.25s/step] Training: 73%|███████▎ | 51167/70000 [18:07:27<6:26:07, 1.23s/step] Training: 73%|███████▎ | 51168/70000 [18:07:28<6:36:09, 1.26s/step] Training: 73%|███████▎ | 51169/70000 [18:07:30<6:29:35, 1.24s/step] Training: 73%|███████▎ | 51170/70000 [18:07:31<6:37:54, 1.27s/step] Training: 73%|███████▎ | 51171/70000 [18:07:32<6:30:51, 1.25s/step] Training: 73%|███████▎ | 51172/70000 [18:07:33<6:39:01, 1.27s/step] Training: 73%|███████▎ | 51173/70000 [18:07:35<6:34:32, 1.26s/step] Training: 73%|███████▎ | 51174/70000 [18:07:36<6:30:38, 1.25s/step] Training: 73%|███████▎ | 51175/70000 [18:07:37<6:25:41, 1.23s/step] Training: 73%|███████▎ | 51176/70000 [18:07:38<6:47:08, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=47244 Training: 73%|███████▎ | 51177/70000 [18:07:40<6:39:33, 1.27s/step] Training: 73%|███████▎ | 51178/70000 [18:07:41<6:35:45, 1.26s/step] Training: 73%|███████▎ | 51179/70000 [18:07:42<6:28:59, 1.24s/step] Training: 73%|███████▎ | 51180/70000 [18:07:43<6:37:59, 1.27s/step] Training: 73%|███████▎ | 51181/70000 [18:07:45<6:30:53, 1.25s/step] Training: 73%|███████▎ | 51182/70000 [18:07:46<6:53:35, 1.32s/step] Training: 73%|███████▎ | 51183/70000 [18:07:47<6:41:46, 1.28s/step] Training: 73%|███████▎ | 51184/70000 [18:07:49<6:46:39, 1.30s/step] Training: 73%|███████▎ | 51185/70000 [18:07:50<6:36:37, 1.26s/step] Training: 73%|███████▎ | 51186/70000 [18:07:51<6:44:41, 1.29s/step] Training: 73%|███████▎ | 51187/70000 [18:07:52<6:35:04, 1.26s/step] Training: 73%|███████▎ | 51188/70000 [18:07:54<6:32:44, 1.25s/step] Training: 73%|███████▎ | 51189/70000 [18:07:55<6:27:15, 1.24s/step] Training: 73%|███████▎ | 51190/70000 [18:07:56<6:35:50, 1.26s/step] Training: 73%|███████▎ | 51191/70000 [18:07:57<6:28:57, 1.24s/step] Training: 73%|███████▎ | 51192/70000 [18:07:59<6:42:40, 1.28s/step] Training: 73%|███████▎ | 51193/70000 [18:08:00<6:33:40, 1.26s/step] Training: 73%|███████▎ | 51194/70000 [18:08:01<6:40:48, 1.28s/step] Training: 73%|███████▎ | 51195/70000 [18:08:02<6:32:47, 1.25s/step] Training: 73%|███████▎ | 51196/70000 [18:08:04<6:28:35, 1.24s/step] Training: 73%|███████▎ | 51197/70000 [18:08:05<6:27:16, 1.24s/step] Training: 73%|███████▎ | 51198/70000 [18:08:06<6:26:18, 1.23s/step] Training: 73%|███████▎ | 51199/70000 [18:08:07<6:22:21, 1.22s/step] Training: 73%|███████▎ | 51200/70000 [18:08:09<6:25:57, 1.23s/step]INFO 2026-03-13 14:18:01 ot_train.py:435 step:51K smpl:3M ep:11K epch:43.40 loss:0.008 grdn:1.030 lr:5.0e-06 updt_s:1.243 data_s:0.019 Training: 73%|███████▎ | 51201/70000 [18:08:10<6:32:39, 1.25s/step] Training: 73%|███████▎ | 51202/70000 [18:08:11<6:40:00, 1.28s/step] Training: 73%|███████▎ | 51203/70000 [18:08:12<6:31:53, 1.25s/step] Training: 73%|███████▎ | 51204/70000 [18:08:14<6:38:38, 1.27s/step] Training: 73%|███████▎ | 51205/70000 [18:08:15<6:32:38, 1.25s/step] Training: 73%|███████▎ | 51206/70000 [18:08:16<6:28:58, 1.24s/step] Training: 73%|███████▎ | 51207/70000 [18:08:17<6:24:09, 1.23s/step] Training: 73%|███████▎ | 51208/70000 [18:08:19<6:34:35, 1.26s/step] Training: 73%|███████▎ | 51209/70000 [18:08:20<6:48:59, 1.31s/step] Training: 73%|███████▎ | 51210/70000 [18:08:21<6:41:30, 1.28s/step] Training: 73%|███████▎ | 51211/70000 [18:08:23<6:33:12, 1.26s/step] Training: 73%|███████▎ | 51212/70000 [18:08:24<6:39:27, 1.28s/step] Training: 73%|███████▎ | 51213/70000 [18:08:25<6:44:05, 1.29s/step] Training: 73%|███████▎ | 51214/70000 [18:08:26<6:47:25, 1.30s/step] Training: 73%|███████▎ | 51215/70000 [18:08:28<6:37:00, 1.27s/step] Training: 73%|███████▎ | 51216/70000 [18:08:29<6:43:25, 1.29s/step] Training: 73%|███████▎ | 51217/70000 [18:08:30<6:43:25, 1.29s/step] Training: 73%|███████▎ | 51218/70000 [18:08:32<6:36:39, 1.27s/step] Training: 73%|███████▎ | 51219/70000 [18:08:33<6:29:54, 1.25s/step] Training: 73%|███████▎ | 51220/70000 [18:08:34<6:27:34, 1.24s/step] Training: 73%|███████▎ | 51221/70000 [18:08:35<6:35:45, 1.26s/step] Training: 73%|███████▎ | 51222/70000 [18:08:37<6:41:27, 1.28s/step] Training: 73%|███████▎ | 51223/70000 [18:08:38<6:33:33, 1.26s/step] Training: 73%|███████▎ | 51224/70000 [18:08:39<6:43:24, 1.29s/step] Training: 73%|███████▎ | 51225/70000 [18:08:40<6:46:14, 1.30s/step] Training: 73%|███████▎ | 51226/70000 [18:08:42<6:49:41, 1.31s/step] Training: 73%|███████▎ | 51227/70000 [18:08:43<6:39:09, 1.28s/step] Training: 73%|███████▎ | 51228/70000 [18:08:44<6:32:38, 1.25s/step] Training: 73%|███████▎ | 51229/70000 [18:08:45<6:29:59, 1.25s/step] Training: 73%|███████▎ | 51230/70000 [18:08:47<6:28:58, 1.24s/step] Training: 73%|███████▎ | 51231/70000 [18:08:48<6:23:36, 1.23s/step] Training: 73%|███████▎ | 51232/70000 [18:08:49<6:22:14, 1.22s/step] Training: 73%|███████▎ | 51233/70000 [18:08:50<6:19:16, 1.21s/step] Training: 73%|███████▎ | 51234/70000 [18:08:52<6:41:42, 1.28s/step] Training: 73%|███████▎ | 51235/70000 [18:08:53<6:33:28, 1.26s/step] Training: 73%|███████▎ | 51236/70000 [18:08:54<6:26:38, 1.24s/step] Training: 73%|███████▎ | 51237/70000 [18:08:55<6:34:10, 1.26s/step] Training: 73%|███████▎ | 51238/70000 [18:08:57<6:29:11, 1.24s/step] Training: 73%|███████▎ | 51239/70000 [18:08:58<6:24:13, 1.23s/step] Training: 73%|███████▎ | 51240/70000 [18:08:59<6:33:17, 1.26s/step] Training: 73%|███████▎ | 51241/70000 [18:09:00<6:26:54, 1.24s/step] Training: 73%|███████▎ | 51242/70000 [18:09:02<6:34:58, 1.26s/step] Training: 73%|███████▎ | 51243/70000 [18:09:03<6:27:58, 1.24s/step] Training: 73%|███████▎ | 51244/70000 [18:09:04<6:22:30, 1.22s/step] Training: 73%|███████▎ | 51245/70000 [18:09:05<6:38:55, 1.28s/step] Training: 73%|███████▎ | 51246/70000 [18:09:07<6:42:59, 1.29s/step] Training: 73%|███████▎ | 51247/70000 [18:09:08<6:33:27, 1.26s/step] Training: 73%|███████▎ | 51248/70000 [18:09:09<6:40:26, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=47244 Training: 73%|███████▎ | 51249/70000 [18:09:10<6:32:11, 1.25s/step] Training: 73%|███████▎ | 51250/70000 [18:09:12<6:50:47, 1.31s/step] Training: 73%|███████▎ | 51251/70000 [18:09:13<6:38:34, 1.28s/step] Training: 73%|███████▎ | 51252/70000 [18:09:14<6:29:32, 1.25s/step] Training: 73%|███████▎ | 51253/70000 [18:09:16<6:37:03, 1.27s/step] Training: 73%|███████▎ | 51254/70000 [18:09:17<6:42:40, 1.29s/step] Training: 73%|███████▎ | 51255/70000 [18:09:18<6:33:13, 1.26s/step] Training: 73%|███████▎ | 51256/70000 [18:09:19<6:40:45, 1.28s/step] Training: 73%|███████▎ | 51257/70000 [18:09:21<6:44:57, 1.30s/step] Training: 73%|███████▎ | 51258/70000 [18:09:22<6:47:21, 1.30s/step] Training: 73%|███████▎ | 51259/70000 [18:09:23<6:51:26, 1.32s/step] Training: 73%|███████▎ | 51260/70000 [18:09:25<6:38:40, 1.28s/step] Training: 73%|███████▎ | 51261/70000 [18:09:26<6:46:47, 1.30s/step] Training: 73%|███████▎ | 51262/70000 [18:09:27<6:39:42, 1.28s/step] Training: 73%|███████▎ | 51263/70000 [18:09:28<6:31:08, 1.25s/step] Training: 73%|███████▎ | 51264/70000 [18:09:30<6:29:55, 1.25s/step] Training: 73%|███████▎ | 51265/70000 [18:09:31<6:39:37, 1.28s/step] Training: 73%|███████▎ | 51266/70000 [18:09:32<6:43:49, 1.29s/step] Training: 73%|███████▎ | 51267/70000 [18:09:34<6:48:30, 1.31s/step] Training: 73%|███████▎ | 51268/70000 [18:09:35<6:36:51, 1.27s/step] Training: 73%|███████▎ | 51269/70000 [18:09:36<6:41:52, 1.29s/step] Training: 73%|███████▎ | 51270/70000 [18:09:37<6:34:47, 1.26s/step] Training: 73%|███████▎ | 51271/70000 [18:09:39<6:27:55, 1.24s/step] Training: 73%|███████▎ | 51272/70000 [18:09:40<6:36:21, 1.27s/step] Training: 73%|███████▎ | 51273/70000 [18:09:41<6:32:25, 1.26s/step] Training: 73%|███████▎ | 51274/70000 [18:09:42<6:30:51, 1.25s/step] Training: 73%|███████▎ | 51275/70000 [18:09:44<6:25:41, 1.24s/step] Training: 73%|███████▎ | 51276/70000 [18:09:45<6:20:43, 1.22s/step] Training: 73%|███████▎ | 51277/70000 [18:09:46<6:31:16, 1.25s/step] Training: 73%|███████▎ | 51278/70000 [18:09:47<6:38:08, 1.28s/step] Training: 73%|███████▎ | 51279/70000 [18:09:49<6:30:12, 1.25s/step] Training: 73%|███████▎ | 51280/70000 [18:09:50<6:38:41, 1.28s/step] Training: 73%|███████▎ | 51281/70000 [18:09:51<6:32:48, 1.26s/step] Training: 73%|███████▎ | 51282/70000 [18:09:52<6:28:15, 1.24s/step] Training: 73%|███████▎ | 51283/70000 [18:09:54<6:26:14, 1.24s/step] Training: 73%|███████▎ | 51284/70000 [18:09:55<6:21:31, 1.22s/step] Training: 73%|███████▎ | 51285/70000 [18:09:56<6:31:51, 1.26s/step] Training: 73%|███████▎ | 51286/70000 [18:09:57<6:39:03, 1.28s/step] Training: 73%|███████▎ | 51287/70000 [18:09:59<6:30:54, 1.25s/step] Training: 73%|███████▎ | 51288/70000 [18:10:00<6:40:27, 1.28s/step] Training: 73%|███████▎ | 51289/70000 [18:10:01<6:31:37, 1.26s/step] Training: 73%|███████▎ | 51290/70000 [18:10:03<6:50:10, 1.32s/step] Training: 73%|███████▎ | 51291/70000 [18:10:04<6:44:56, 1.30s/step] Training: 73%|███████▎ | 51292/70000 [18:10:05<6:34:08, 1.26s/step] Training: 73%|███████▎ | 51293/70000 [18:10:06<6:39:47, 1.28s/step] Training: 73%|███████▎ | 51294/70000 [18:10:08<6:35:01, 1.27s/step] Training: 73%|███████▎ | 51295/70000 [18:10:09<6:27:47, 1.24s/step] Training: 73%|███████▎ | 51296/70000 [18:10:10<6:27:04, 1.24s/step] Training: 73%|███████▎ | 51297/70000 [18:10:11<6:37:21, 1.27s/step] Training: 73%|███████▎ | 51298/70000 [18:10:13<6:29:28, 1.25s/step] Training: 73%|███████▎ | 51299/70000 [18:10:14<6:37:20, 1.27s/step] Training: 73%|███████▎ | 51300/70000 [18:10:15<6:43:34, 1.29s/step]INFO 2026-03-13 14:20:07 ot_train.py:435 step:51K smpl:3M ep:11K epch:43.48 loss:0.008 grdn:0.787 lr:5.0e-06 updt_s:1.246 data_s:0.019 Training: 73%|███████▎ | 51301/70000 [18:10:17<6:46:16, 1.30s/step] Training: 73%|███████▎ | 51302/70000 [18:10:18<6:37:25, 1.28s/step] Training: 73%|███████▎ | 51303/70000 [18:10:19<6:29:38, 1.25s/step] Training: 73%|███████▎ | 51304/70000 [18:10:20<6:36:06, 1.27s/step] Training: 73%|███████▎ | 51305/70000 [18:10:22<6:29:46, 1.25s/step] Training: 73%|███████▎ | 51306/70000 [18:10:23<6:24:01, 1.23s/step] Training: 73%|███████▎ | 51307/70000 [18:10:24<6:31:05, 1.26s/step] Training: 73%|███████▎ | 51308/70000 [18:10:25<6:33:35, 1.26s/step] Training: 73%|███████▎ | 51309/70000 [18:10:27<6:40:41, 1.29s/step] Training: 73%|███████▎ | 51310/70000 [18:10:28<6:44:53, 1.30s/step] Training: 73%|███████▎ | 51311/70000 [18:10:29<6:35:09, 1.27s/step] Training: 73%|███████▎ | 51312/70000 [18:10:31<6:40:28, 1.29s/step] Training: 73%|███████▎ | 51313/70000 [18:10:32<6:34:29, 1.27s/step] Training: 73%|███████▎ | 51314/70000 [18:10:33<6:27:30, 1.24s/step] Training: 73%|███████▎ | 51315/70000 [18:10:34<6:22:54, 1.23s/step] Training: 73%|███████▎ | 51316/70000 [18:10:35<6:19:08, 1.22s/step] Training: 73%|███████▎ | 51317/70000 [18:10:37<6:38:10, 1.28s/step] Training: 73%|███████▎ | 51318/70000 [18:10:38<6:43:10, 1.29s/step] Training: 73%|███████▎ | 51319/70000 [18:10:39<6:33:14, 1.26s/step] Training: 73%|███████▎ | 51320/70000 [18:10:40<6:29:47, 1.25s/step] Training: 73%|███████▎ | 51321/70000 [18:10:42<6:23:47, 1.23s/step] Training: 73%|███████▎ | 51322/70000 [18:10:43<6:32:12, 1.26s/step] Training: 73%|███████▎ | 51323/70000 [18:10:44<6:38:26, 1.28s/step] Training: 73%|███████▎ | 51324/70000 [18:10:46<6:44:45, 1.30s/step] Training: 73%|███████▎ | 51325/70000 [18:10:47<6:45:56, 1.30s/step] Training: 73%|███████▎ | 51326/70000 [18:10:48<6:47:48, 1.31s/step] Training: 73%|███████▎ | 51327/70000 [18:10:49<6:36:29, 1.27s/step] Training: 73%|███████▎ | 51328/70000 [18:10:51<6:32:30, 1.26s/step] Training: 73%|███████▎ | 51329/70000 [18:10:52<6:26:17, 1.24s/step] Training: 73%|███████▎ | 51330/70000 [18:10:53<6:21:22, 1.23s/step] Training: 73%|███████▎ | 51331/70000 [18:10:54<6:30:47, 1.26s/step] Training: 73%|███████▎ | 51332/70000 [18:10:56<6:24:35, 1.24s/step] Training: 73%|███████▎ | 51333/70000 [18:10:57<6:41:08, 1.29s/step] Training: 73%|███████▎ | 51334/70000 [18:10:58<6:34:46, 1.27s/step] Training: 73%|███████▎ | 51335/70000 [18:10:59<6:27:22, 1.25s/step] Training: 73%|███████▎ | 51336/70000 [18:11:01<6:34:36, 1.27s/step] Training: 73%|███████▎ | 51337/70000 [18:11:02<6:30:57, 1.26s/step] Training: 73%|███████▎ | 51338/70000 [18:11:03<6:24:39, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=35072 Training: 73%|███████▎ | 51339/70000 [18:11:04<6:23:16, 1.23s/step] Training: 73%|███████▎ | 51340/70000 [18:11:06<6:19:13, 1.22s/step] Training: 73%|███████▎ | 51341/70000 [18:11:07<6:41:14, 1.29s/step] Training: 73%|███████▎ | 51342/70000 [18:11:08<6:44:21, 1.30s/step] Training: 73%|███████▎ | 51343/70000 [18:11:10<6:33:53, 1.27s/step] Training: 73%|███████▎ | 51344/70000 [18:11:11<6:39:23, 1.28s/step] Training: 73%|███████▎ | 51345/70000 [18:11:12<6:32:58, 1.26s/step] Training: 73%|███████▎ | 51346/70000 [18:11:13<6:25:59, 1.24s/step] Training: 73%|███████▎ | 51347/70000 [18:11:15<6:34:29, 1.27s/step] Training: 73%|███████▎ | 51348/70000 [18:11:16<6:27:10, 1.25s/step] Training: 73%|███████▎ | 51349/70000 [18:11:17<6:35:19, 1.27s/step] Training: 73%|███████▎ | 51350/70000 [18:11:18<6:39:54, 1.29s/step] Training: 73%|███████▎ | 51351/70000 [18:11:20<6:30:48, 1.26s/step] Training: 73%|███████▎ | 51352/70000 [18:11:21<6:29:09, 1.25s/step] Training: 73%|███████▎ | 51353/70000 [18:11:22<6:35:50, 1.27s/step] Training: 73%|███████▎ | 51354/70000 [18:11:23<6:27:47, 1.25s/step] Training: 73%|███████▎ | 51355/70000 [18:11:25<6:35:24, 1.27s/step] Training: 73%|███████▎ | 51356/70000 [18:11:26<6:28:05, 1.25s/step] Training: 73%|███████▎ | 51357/70000 [18:11:27<6:40:38, 1.29s/step] Training: 73%|███████▎ | 51358/70000 [18:11:29<6:43:41, 1.30s/step] Training: 73%|███████▎ | 51359/70000 [18:11:30<6:33:24, 1.27s/step] Training: 73%|███████▎ | 51360/70000 [18:11:31<6:28:31, 1.25s/step] Training: 73%|███████▎ | 51361/70000 [18:11:32<6:35:11, 1.27s/step] Training: 73%|███████▎ | 51362/70000 [18:11:34<6:27:15, 1.25s/step] Training: 73%|███████▎ | 51363/70000 [18:11:35<6:34:15, 1.27s/step] Training: 73%|███████▎ | 51364/70000 [18:11:36<6:27:11, 1.25s/step] Training: 73%|███████▎ | 51365/70000 [18:11:37<6:35:07, 1.27s/step] Training: 73%|███████▎ | 51366/70000 [18:11:39<6:29:12, 1.25s/step] Training: 73%|███████▎ | 51367/70000 [18:11:40<6:23:37, 1.24s/step] Training: 73%|███████▎ | 51368/70000 [18:11:41<6:31:54, 1.26s/step] Training: 73%|███████▎ | 51369/70000 [18:11:42<6:28:48, 1.25s/step] Training: 73%|███████▎ | 51370/70000 [18:11:44<6:22:43, 1.23s/step] Training: 73%|███████▎ | 51371/70000 [18:11:45<6:20:22, 1.23s/step] Training: 73%|███████▎ | 51372/70000 [18:11:46<6:17:01, 1.21s/step] Training: 73%|███████▎ | 51373/70000 [18:11:47<6:28:12, 1.25s/step] Training: 73%|███████▎ | 51374/70000 [18:11:49<6:46:48, 1.31s/step] Training: 73%|███████▎ | 51375/70000 [18:11:50<6:35:11, 1.27s/step] Training: 73%|███████▎ | 51376/70000 [18:11:51<6:40:47, 1.29s/step] Training: 73%|███████▎ | 51377/70000 [18:11:52<6:33:45, 1.27s/step] Training: 73%|███████▎ | 51378/70000 [18:11:54<6:26:19, 1.24s/step] Training: 73%|███████▎ | 51379/70000 [18:11:55<6:35:04, 1.27s/step] Training: 73%|███████▎ | 51380/70000 [18:11:56<6:27:42, 1.25s/step] Training: 73%|███████▎ | 51381/70000 [18:11:58<6:34:52, 1.27s/step] Training: 73%|███████▎ | 51382/70000 [18:11:59<6:48:18, 1.32s/step] Training: 73%|███████▎ | 51383/70000 [18:12:00<6:36:36, 1.28s/step] Training: 73%|███████▎ | 51384/70000 [18:12:01<6:32:25, 1.26s/step] Training: 73%|███████▎ | 51385/70000 [18:12:03<6:38:07, 1.28s/step] Training: 73%|███████▎ | 51386/70000 [18:12:04<6:29:29, 1.26s/step] Training: 73%|███████▎ | 51387/70000 [18:12:05<6:35:54, 1.28s/step] Training: 73%|███████▎ | 51388/70000 [18:12:06<6:28:02, 1.25s/step] Training: 73%|███████▎ | 51389/70000 [18:12:08<6:38:42, 1.29s/step] Training: 73%|███████▎ | 51390/70000 [18:12:09<6:46:23, 1.31s/step] Training: 73%|███████▎ | 51391/70000 [18:12:10<6:34:02, 1.27s/step] Training: 73%|███████▎ | 51392/70000 [18:12:12<6:28:50, 1.25s/step] Training: 73%|███████▎ | 51393/70000 [18:12:13<6:36:30, 1.28s/step] Training: 73%|███████▎ | 51394/70000 [18:12:14<6:28:04, 1.25s/step] Training: 73%|███████▎ | 51395/70000 [18:12:15<6:35:06, 1.27s/step] Training: 73%|███████▎ | 51396/70000 [18:12:17<6:27:29, 1.25s/step] Training: 73%|███████▎ | 51397/70000 [18:12:18<6:34:35, 1.27s/step] Training: 73%|███████▎ | 51398/70000 [18:12:19<6:42:12, 1.30s/step] Training: 73%|███████▎ | 51399/70000 [18:12:20<6:31:09, 1.26s/step] Training: 73%|███████▎ | 51400/70000 [18:12:22<6:37:45, 1.28s/step]INFO 2026-03-13 14:22:14 ot_train.py:435 step:51K smpl:3M ep:11K epch:43.57 loss:0.009 grdn:1.089 lr:5.0e-06 updt_s:1.244 data_s:0.019 Training: 73%|███████▎ | 51401/70000 [18:12:23<6:31:45, 1.26s/step] Training: 73%|███████▎ | 51402/70000 [18:12:24<6:24:56, 1.24s/step] Training: 73%|███████▎ | 51403/70000 [18:12:25<6:22:45, 1.23s/step] Training: 73%|███████▎ | 51404/70000 [18:12:27<6:18:46, 1.22s/step] Training: 73%|███████▎ | 51405/70000 [18:12:28<6:31:59, 1.26s/step] Training: 73%|███████▎ | 51406/70000 [18:12:29<6:38:04, 1.28s/step] Training: 73%|███████▎ | 51407/70000 [18:12:31<6:44:15, 1.30s/step] Training: 73%|███████▎ | 51408/70000 [18:12:32<6:45:01, 1.31s/step] Training: 73%|███████▎ | 51409/70000 [18:12:33<6:36:37, 1.28s/step] Training: 73%|███████▎ | 51410/70000 [18:12:34<6:28:14, 1.25s/step] Training: 73%|███████▎ | 51411/70000 [18:12:36<6:35:01, 1.28s/step] Training: 73%|███████▎ | 51412/70000 [18:12:37<6:27:18, 1.25s/step] Training: 73%|███████▎ | 51413/70000 [18:12:38<6:34:42, 1.27s/step] Training: 73%|███████▎ | 51414/70000 [18:12:40<6:39:45, 1.29s/step] Training: 73%|███████▎ | 51415/70000 [18:12:41<6:46:05, 1.31s/step] Training: 73%|███████▎ | 51416/70000 [18:12:42<6:37:57, 1.28s/step] Training: 73%|███████▎ | 51417/70000 [18:12:43<6:41:26, 1.30s/step] Training: 73%|███████▎ | 51418/70000 [18:12:45<6:31:16, 1.26s/step] Training: 73%|███████▎ | 51419/70000 [18:12:46<6:36:58, 1.28s/step] Training: 73%|███████▎ | 51420/70000 [18:12:47<6:28:47, 1.26s/step] Training: 73%|███████▎ | 51421/70000 [18:12:49<6:39:03, 1.29s/step] Training: 73%|███████▎ | 51422/70000 [18:12:50<6:43:34, 1.30s/step] Training: 73%|███████▎ | 51423/70000 [18:12:51<6:45:24, 1.31s/step] Training: 73%|███████▎ | 51424/70000 [18:12:52<6:35:38, 1.28s/step] Training: 73%|███████▎ | 51425/70000 [18:12:54<6:40:14, 1.29s/step] Training: 73%|███████▎ | 51426/70000 [18:12:55<6:30:20, 1.26s/step] Training: 73%|███████▎ | 51427/70000 [18:12:56<6:36:00, 1.28s/step] Training: 73%|███████▎ | 51428/70000 [18:12:57<6:28:11, 1.25s/step] Training: 73%|███████▎ | 51429/70000 [18:12:59<6:35:23, 1.28s/step] Training: 73%|███████▎ | 51430/70000 [18:13:00<6:29:28, 1.26s/step] Training: 73%|███████▎ | 51431/70000 [18:13:01<6:23:17, 1.24s/step] Training: 73%|███████▎ | 51432/70000 [18:13:03<6:44:15, 1.31s/step] Training: 73%|███████▎ | 51433/70000 [18:13:04<6:37:30, 1.28s/step] Training: 73%|███████▎ | 51434/70000 [18:13:05<6:28:31, 1.26s/step] Training: 73%|███████▎ | 51435/70000 [18:13:06<6:25:35, 1.25s/step] Training: 73%|███████▎ | 51436/70000 [18:13:07<6:20:29, 1.23s/step] Training: 73%|███████▎ | 51437/70000 [18:13:09<6:34:06, 1.27s/step] Training: 73%|███████▎ | 51438/70000 [18:13:10<6:40:01, 1.29s/step] Training: 73%|███████▎ | 51439/70000 [18:13:11<6:30:44, 1.26s/step] Training: 73%|███████▎ | 51440/70000 [18:13:13<6:47:45, 1.32s/step] Training: 73%|███████▎ | 51441/70000 [18:13:14<6:38:00, 1.29s/step] Training: 73%|███████▎ | 51442/70000 [18:13:15<6:28:48, 1.26s/step] Training: 73%|███████▎ | 51443/70000 [18:13:17<6:36:29, 1.28s/step] Training: 73%|███████▎ | 51444/70000 [18:13:18<6:28:09, 1.26s/step] Training: 73%|███████▎ | 51445/70000 [18:13:19<6:35:22, 1.28s/step] Training: 73%|███████▎ | 51446/70000 [18:13:20<6:40:31, 1.30s/step] Training: 73%|███████▎ | 51447/70000 [18:13:22<6:30:43, 1.26s/step] Training: 73%|███████▎ | 51448/70000 [18:13:23<6:28:25, 1.26s/step] Training: 73%|███████▎ | 51449/70000 [18:13:24<6:35:02, 1.28s/step] Training: 74%|███████▎ | 51450/70000 [18:13:25<6:26:53, 1.25s/step] Training: 74%|███████▎ | 51451/70000 [18:13:27<6:34:58, 1.28s/step] Training: 74%|███████▎ | 51452/70000 [18:13:28<6:27:09, 1.25s/step] Training: 74%|███████▎ | 51453/70000 [18:13:29<6:24:37, 1.24s/step] Training: 74%|███████▎ | 51454/70000 [18:13:31<6:41:17, 1.30s/step] Training: 74%|███████▎ | 51455/70000 [18:13:32<6:31:08, 1.27s/step] Training: 74%|███████▎ | 51456/70000 [18:13:33<6:29:29, 1.26s/step] Training: 74%|███████▎ | 51457/70000 [18:13:34<6:36:33, 1.28s/step] Training: 74%|███████▎ | 51458/70000 [18:13:35<6:27:50, 1.26s/step] Training: 74%|███████▎ | 51459/70000 [18:13:37<6:35:01, 1.28s/step] Training: 74%|███████▎ | 51460/70000 [18:13:38<6:26:44, 1.25s/step] Training: 74%|███████▎ | 51461/70000 [18:13:39<6:22:51, 1.24s/step] Training: 74%|███████▎ | 51462/70000 [18:13:40<6:25:39, 1.25s/step] Training: 74%|███████▎ | 51463/70000 [18:13:42<6:20:15, 1.23s/step] Training: 74%|███████▎ | 51464/70000 [18:13:43<6:30:04, 1.26s/step] Training: 74%|███████▎ | 51465/70000 [18:13:44<6:38:04, 1.29s/step] Training: 74%|███████▎ | 51466/70000 [18:13:46<6:28:02, 1.26s/step] Training: 74%|███████▎ | 51467/70000 [18:13:47<6:23:42, 1.24s/step] Training: 74%|███████▎ | 51468/70000 [18:13:48<6:19:17, 1.23s/step] Training: 74%|███████▎ | 51469/70000 [18:13:49<6:30:02, 1.26s/step] Training: 74%|███████▎ | 51470/70000 [18:13:51<6:35:44, 1.28s/step] Training: 74%|███████▎ | 51471/70000 [18:13:52<6:27:07, 1.25s/step] Training: 74%|███████▎ | 51472/70000 [18:13:53<6:33:23, 1.27s/step] Training: 74%|███████▎ | 51473/70000 [18:13:54<6:34:30, 1.28s/step] Training: 74%|███████▎ | 51474/70000 [18:13:56<6:26:00, 1.25s/step] Training: 74%|███████▎ | 51475/70000 [18:13:57<6:33:17, 1.27s/step] Training: 74%|███████▎ | 51476/70000 [18:13:58<6:26:01, 1.25s/step] Training: 74%|███████▎ | 51477/70000 [18:13:59<6:32:34, 1.27s/step] Training: 74%|███████▎ | 51478/70000 [18:14:01<6:37:59, 1.29s/step] Training: 74%|███████▎ | 51479/70000 [18:14:02<6:28:42, 1.26s/step] Training: 74%|███████▎ | 51480/70000 [18:14:03<6:25:15, 1.25s/step] Training: 74%|███████▎ | 51481/70000 [18:14:05<6:32:58, 1.27s/step] Training: 74%|███████▎ | 51482/70000 [18:14:06<6:39:12, 1.29s/step] Training: 74%|███████▎ | 51483/70000 [18:14:07<6:41:57, 1.30s/step] Training: 74%|███████▎ | 51484/70000 [18:14:08<6:31:16, 1.27s/step] Training: 74%|███████▎ | 51485/70000 [18:14:10<6:27:22, 1.26s/step] Training: 74%|███████▎ | 51486/70000 [18:14:11<6:37:31, 1.29s/step] Training: 74%|███████▎ | 51487/70000 [18:14:12<6:28:02, 1.26s/step] Training: 74%|███████▎ | 51488/70000 [18:14:13<6:24:37, 1.25s/step] Training: 74%|███████▎ | 51489/70000 [18:14:15<6:34:33, 1.28s/step] Training: 74%|███████▎ | 51490/70000 [18:14:16<6:25:04, 1.25s/step] Training: 74%|███████▎ | 51491/70000 [18:14:17<6:31:57, 1.27s/step] Training: 74%|███████▎ | 51492/70000 [18:14:18<6:24:29, 1.25s/step] Training: 74%|███████▎ | 51493/70000 [18:14:20<6:21:58, 1.24s/step] Training: 74%|███████▎ | 51494/70000 [18:14:21<6:29:42, 1.26s/step] Training: 74%|███████▎ | 51495/70000 [18:14:22<6:22:54, 1.24s/step] Training: 74%|███████▎ | 51496/70000 [18:14:23<6:17:40, 1.22s/step] Training: 74%|███████▎ | 51497/70000 [18:14:25<6:36:57, 1.29s/step] Training: 74%|███████▎ | 51498/70000 [18:14:26<6:42:04, 1.30s/step] Training: 74%|███████▎ | 51499/70000 [18:14:27<6:33:13, 1.28s/step] Training: 74%|███████▎ | 51500/70000 [18:14:29<6:25:21, 1.25s/step]INFO 2026-03-13 14:24:21 ot_train.py:435 step:52K smpl:3M ep:11K epch:43.65 loss:0.008 grdn:0.665 lr:4.9e-06 updt_s:1.246 data_s:0.019 Training: 74%|███████▎ | 51501/70000 [18:14:30<6:33:11, 1.28s/step] Training: 74%|███████▎ | 51502/70000 [18:14:31<6:37:59, 1.29s/step] Training: 74%|███████▎ | 51503/70000 [18:14:32<6:28:50, 1.26s/step] Training: 74%|███████▎ | 51504/70000 [18:14:34<6:34:04, 1.28s/step] Training: 74%|███████▎ | 51505/70000 [18:14:35<6:38:26, 1.29s/step] Training: 74%|███████▎ | 51506/70000 [18:14:36<6:42:44, 1.31s/step] Training: 74%|███████▎ | 51507/70000 [18:14:38<6:44:09, 1.31s/step] Training: 74%|███████▎ | 51508/70000 [18:14:39<6:33:35, 1.28s/step] Training: 74%|███████▎ | 51509/70000 [18:14:40<6:39:41, 1.30s/step] Training: 74%|███████▎ | 51510/70000 [18:14:42<6:42:22, 1.31s/step] Training: 74%|███████▎ | 51511/70000 [18:14:43<6:31:41, 1.27s/step] Training: 74%|███████▎ | 51512/70000 [18:14:44<6:25:28, 1.25s/step] Training: 74%|███████▎ | 51513/70000 [18:14:45<6:33:38, 1.28s/step] Training: 74%|███████▎ | 51514/70000 [18:14:46<6:25:50, 1.25s/step] Training: 74%|███████▎ | 51515/70000 [18:14:48<6:32:40, 1.27s/step] Training: 74%|███████▎ | 51516/70000 [18:14:49<6:24:50, 1.25s/step] Training: 74%|███████▎ | 51517/70000 [18:14:50<6:22:35, 1.24s/step] Training: 74%|███████▎ | 51518/70000 [18:14:52<6:33:06, 1.28s/step] Training: 74%|███████▎ | 51519/70000 [18:14:53<6:24:50, 1.25s/step] Training: 74%|███████▎ | 51520/70000 [18:14:54<6:23:13, 1.24s/step] Training: 74%|███████▎ | 51521/70000 [18:14:55<6:31:41, 1.27s/step] Training: 74%|███████▎ | 51522/70000 [18:14:57<6:29:21, 1.26s/step] Training: 74%|███████▎ | 51523/70000 [18:14:58<6:35:20, 1.28s/step] Training: 74%|███████▎ | 51524/70000 [18:14:59<6:26:30, 1.26s/step] Training: 74%|███████▎ | 51525/70000 [18:15:00<6:21:39, 1.24s/step] Training: 74%|███████▎ | 51526/70000 [18:15:02<6:28:51, 1.26s/step] Training: 74%|███████▎ | 51527/70000 [18:15:03<6:22:17, 1.24s/step] Training: 74%|███████▎ | 51528/70000 [18:15:04<6:17:22, 1.23s/step] Training: 74%|███████▎ | 51529/70000 [18:15:05<6:37:38, 1.29s/step] Training: 74%|███████▎ | 51530/70000 [18:15:07<6:33:26, 1.28s/step] Training: 74%|███████▎ | 51531/70000 [18:15:08<6:26:11, 1.25s/step] Training: 74%|███████▎ | 51532/70000 [18:15:09<6:20:19, 1.24s/step] Training: 74%|███████▎ | 51533/70000 [18:15:10<6:28:48, 1.26s/step] Training: 74%|███████▎ | 51534/70000 [18:15:12<6:34:25, 1.28s/step] Training: 74%|███████▎ | 51535/70000 [18:15:13<6:25:50, 1.25s/step] Training: 74%|███████▎ | 51536/70000 [18:15:14<6:19:59, 1.23s/step] Training: 74%|███████▎ | 51537/70000 [18:15:15<6:29:37, 1.27s/step] Training: 74%|███████▎ | 51538/70000 [18:15:17<6:22:38, 1.24s/step] Training: 74%|███████▎ | 51539/70000 [18:15:18<6:42:42, 1.31s/step] Training: 74%|███████▎ | 51540/70000 [18:15:19<6:31:35, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=47244 Training: 74%|███████▎ | 51541/70000 [18:15:21<6:36:50, 1.29s/step] Training: 74%|███████▎ | 51542/70000 [18:15:22<6:40:27, 1.30s/step] Training: 74%|███████▎ | 51543/70000 [18:15:23<6:29:58, 1.27s/step] Training: 74%|███████▎ | 51544/70000 [18:15:24<6:26:07, 1.26s/step] Training: 74%|███████▎ | 51545/70000 [18:15:26<6:22:00, 1.24s/step] Training: 74%|███████▎ | 51546/70000 [18:15:27<6:30:03, 1.27s/step] Training: 74%|███████▎ | 51547/70000 [18:15:28<6:44:26, 1.32s/step] Training: 74%|███████▎ | 51548/70000 [18:15:30<6:32:50, 1.28s/step] Training: 74%|███████▎ | 51549/70000 [18:15:31<6:29:35, 1.27s/step] Training: 74%|███████▎ | 51550/70000 [18:15:32<6:38:06, 1.29s/step] Training: 74%|███████▎ | 51551/70000 [18:15:33<6:28:28, 1.26s/step] Training: 74%|███████▎ | 51552/70000 [18:15:35<6:23:35, 1.25s/step] Training: 74%|███████▎ | 51553/70000 [18:15:36<6:31:08, 1.27s/step] Training: 74%|███████▎ | 51554/70000 [18:15:37<6:28:16, 1.26s/step] Training: 74%|███████▎ | 51555/70000 [18:15:38<6:36:10, 1.29s/step] Training: 74%|███████▎ | 51556/70000 [18:15:40<6:26:00, 1.26s/step] Training: 74%|███████▎ | 51557/70000 [18:15:41<6:23:20, 1.25s/step] Training: 74%|███████▎ | 51558/70000 [18:15:42<6:30:35, 1.27s/step] Training: 74%|███████▎ | 51559/70000 [18:15:43<6:22:48, 1.25s/step] Training: 74%|███████▎ | 51560/70000 [18:15:45<6:30:31, 1.27s/step] Training: 74%|███████▎ | 51561/70000 [18:15:46<6:35:35, 1.29s/step] Training: 74%|███████▎ | 51562/70000 [18:15:47<6:35:57, 1.29s/step] Training: 74%|███████▎ | 51563/70000 [18:15:49<6:41:43, 1.31s/step] Training: 74%|███████▎ | 51564/70000 [18:15:50<6:29:47, 1.27s/step] Training: 74%|███████▎ | 51565/70000 [18:15:51<6:36:33, 1.29s/step] Training: 74%|███████▎ | 51566/70000 [18:15:52<6:40:22, 1.30s/step] Training: 74%|███████▎ | 51567/70000 [18:15:54<6:29:49, 1.27s/step] Training: 74%|███████▎ | 51568/70000 [18:15:55<6:34:35, 1.28s/step] Training: 74%|███████▎ | 51569/70000 [18:15:56<6:38:23, 1.30s/step] Training: 74%|███████▎ | 51570/70000 [18:15:58<6:28:47, 1.27s/step] Training: 74%|███████▎ | 51571/70000 [18:15:59<6:34:08, 1.28s/step] Training: 74%|███████▎ | 51572/70000 [18:16:00<6:39:46, 1.30s/step] Training: 74%|███████▎ | 51573/70000 [18:16:02<6:42:16, 1.31s/step] Training: 74%|███████▎ | 51574/70000 [18:16:03<6:43:44, 1.31s/step] Training: 74%|███████▎ | 51575/70000 [18:16:04<6:32:05, 1.28s/step] Training: 74%|███████▎ | 51576/70000 [18:16:05<6:26:58, 1.26s/step] Training: 74%|███████▎ | 51577/70000 [18:16:06<6:23:36, 1.25s/step] Training: 74%|███████▎ | 51578/70000 [18:16:08<6:18:25, 1.23s/step] Training: 74%|███████▎ | 51579/70000 [18:16:09<6:26:53, 1.26s/step] Training: 74%|███████▎ | 51580/70000 [18:16:10<6:35:42, 1.29s/step] Training: 74%|███████▎ | 51581/70000 [18:16:12<6:29:04, 1.27s/step] Training: 74%|███████▎ | 51582/70000 [18:16:13<6:37:55, 1.30s/step] Training: 74%|███████▎ | 51583/70000 [18:16:14<6:27:47, 1.26s/step] Training: 74%|███████▎ | 51584/70000 [18:16:15<6:23:39, 1.25s/step] Training: 74%|███████▎ | 51585/70000 [18:16:17<6:30:21, 1.27s/step] Training: 74%|███████▎ | 51586/70000 [18:16:18<6:26:44, 1.26s/step] Training: 74%|███████▎ | 51587/70000 [18:16:19<6:33:22, 1.28s/step] Training: 74%|███████▎ | 51588/70000 [18:16:21<6:38:30, 1.30s/step] Training: 74%|███████▎ | 51589/70000 [18:16:22<6:30:39, 1.27s/step] Training: 74%|███████▎ | 51590/70000 [18:16:23<6:35:20, 1.29s/step] Training: 74%|███████▎ | 51591/70000 [18:16:24<6:26:25, 1.26s/step] Training: 74%|███████▎ | 51592/70000 [18:16:26<6:33:05, 1.28s/step] Training: 74%|███████▎ | 51593/70000 [18:16:27<6:38:01, 1.30s/step] Training: 74%|███████▎ | 51594/70000 [18:16:28<6:31:14, 1.28s/step] Training: 74%|███████▎ | 51595/70000 [18:16:29<6:24:50, 1.25s/step] Training: 74%|███████▎ | 51596/70000 [18:16:31<6:33:06, 1.28s/step] Training: 74%|███████▎ | 51597/70000 [18:16:32<6:36:28, 1.29s/step] Training: 74%|███████▎ | 51598/70000 [18:16:33<6:39:06, 1.30s/step] Training: 74%|███████▎ | 51599/70000 [18:16:35<6:28:53, 1.27s/step] Training: 74%|███████▎ | 51600/70000 [18:16:36<6:34:36, 1.29s/step]INFO 2026-03-13 14:26:28 ot_train.py:435 step:52K smpl:3M ep:11K epch:43.74 loss:0.008 grdn:0.816 lr:4.9e-06 updt_s:1.253 data_s:0.019 Training: 74%|███████▎ | 51601/70000 [18:16:37<6:38:48, 1.30s/step] Training: 74%|███████▎ | 51602/70000 [18:16:38<6:29:07, 1.27s/step] Training: 74%|███████▎ | 51603/70000 [18:16:40<6:46:13, 1.32s/step] Training: 74%|███████▎ | 51604/70000 [18:16:41<6:38:18, 1.30s/step] Training: 74%|███████▎ | 51605/70000 [18:16:42<6:40:03, 1.30s/step] Training: 74%|███████▎ | 51606/70000 [18:16:44<6:42:22, 1.31s/step] Training: 74%|███████▎ | 51607/70000 [18:16:45<6:43:43, 1.32s/step] Training: 74%|███████▎ | 51608/70000 [18:16:46<6:34:55, 1.29s/step] Training: 74%|███████▎ | 51609/70000 [18:16:48<6:26:40, 1.26s/step] Training: 74%|███████▎ | 51610/70000 [18:16:49<6:20:26, 1.24s/step] Training: 74%|███████▎ | 51611/70000 [18:16:50<6:28:02, 1.27s/step] Training: 74%|███████▎ | 51612/70000 [18:16:51<6:20:58, 1.24s/step] Training: 74%|███████▎ | 51613/70000 [18:16:53<6:29:46, 1.27s/step] Training: 74%|███████▎ | 51614/70000 [18:16:54<6:34:21, 1.29s/step] Training: 74%|███████▎ | 51615/70000 [18:16:55<6:36:12, 1.29s/step] Training: 74%|███████▎ | 51616/70000 [18:16:56<6:28:22, 1.27s/step] Training: 74%|███████▎ | 51617/70000 [18:16:58<6:33:58, 1.29s/step] Training: 74%|███████▎ | 51618/70000 [18:16:59<6:28:03, 1.27s/step] Training: 74%|███████▎ | 51619/70000 [18:17:00<6:33:27, 1.28s/step] Training: 74%|███████▎ | 51620/70000 [18:17:01<6:25:13, 1.26s/step] Training: 74%|███████▎ | 51621/70000 [18:17:03<6:29:58, 1.27s/step] Training: 74%|███████▎ | 51622/70000 [18:17:04<6:33:57, 1.29s/step] Training: 74%|███████▎ | 51623/70000 [18:17:05<6:24:57, 1.26s/step] Training: 74%|███████▎ | 51624/70000 [18:17:07<6:31:31, 1.28s/step] Training: 74%|███████▍ | 51625/70000 [18:17:08<6:36:42, 1.30s/step] Training: 74%|███████▍ | 51626/70000 [18:17:09<6:28:21, 1.27s/step] Training: 74%|███████▍ | 51627/70000 [18:17:10<6:23:36, 1.25s/step] Training: 74%|███████▍ | 51628/70000 [18:17:12<6:17:56, 1.23s/step] Training: 74%|███████▍ | 51629/70000 [18:17:13<6:28:58, 1.27s/step] Training: 74%|███████▍ | 51630/70000 [18:17:14<6:32:16, 1.28s/step] Training: 74%|███████▍ | 51631/70000 [18:17:16<6:35:49, 1.29s/step] Training: 74%|███████▍ | 51632/70000 [18:17:17<6:38:43, 1.30s/step] Training: 74%|███████▍ | 51633/70000 [18:17:18<6:41:17, 1.31s/step] Training: 74%|███████▍ | 51634/70000 [18:17:20<6:42:30, 1.31s/step] Training: 74%|███████▍ | 51635/70000 [18:17:21<6:43:32, 1.32s/step] Training: 74%|███████▍ | 51636/70000 [18:17:22<6:31:53, 1.28s/step] Training: 74%|███████▍ | 51637/70000 [18:17:23<6:23:44, 1.25s/step] Training: 74%|███████▍ | 51638/70000 [18:17:25<6:40:42, 1.31s/step] Training: 74%|███████▍ | 51639/70000 [18:17:26<6:42:46, 1.32s/step] Training: 74%|███████▍ | 51640/70000 [18:17:27<6:33:27, 1.29s/step] Training: 74%|███████▍ | 51641/70000 [18:17:28<6:26:47, 1.26s/step] Training: 74%|███████▍ | 51642/70000 [18:17:30<6:32:09, 1.28s/step] Training: 74%|███████▍ | 51643/70000 [18:17:31<6:36:55, 1.30s/step] Training: 74%|███████▍ | 51644/70000 [18:17:32<6:27:06, 1.27s/step] Training: 74%|███████▍ | 51645/70000 [18:17:33<6:20:32, 1.24s/step] Training: 74%|███████▍ | 51646/70000 [18:17:35<6:35:05, 1.29s/step] Training: 74%|███████▍ | 51647/70000 [18:17:36<6:28:21, 1.27s/step] Training: 74%|███████▍ | 51648/70000 [18:17:37<6:22:56, 1.25s/step] Training: 74%|███████▍ | 51649/70000 [18:17:39<6:31:18, 1.28s/step] Training: 74%|███████▍ | 51650/70000 [18:17:40<6:25:53, 1.26s/step] Training: 74%|███████▍ | 51651/70000 [18:17:41<6:31:31, 1.28s/step] Training: 74%|███████▍ | 51652/70000 [18:17:42<6:23:00, 1.25s/step] Training: 74%|███████▍ | 51653/70000 [18:17:44<6:16:55, 1.23s/step] Training: 74%|███████▍ | 51654/70000 [18:17:45<6:26:14, 1.26s/step] Training: 74%|███████▍ | 51655/70000 [18:17:46<6:32:49, 1.28s/step] Training: 74%|███████▍ | 51656/70000 [18:17:48<6:36:44, 1.30s/step] Training: 74%|███████▍ | 51657/70000 [18:17:49<6:39:29, 1.31s/step] Training: 74%|███████▍ | 51658/70000 [18:17:50<6:30:55, 1.28s/step] Training: 74%|███████▍ | 51659/70000 [18:17:51<6:25:36, 1.26s/step] Training: 74%|███████▍ | 51660/70000 [18:17:53<6:19:07, 1.24s/step] Training: 74%|███████▍ | 51661/70000 [18:17:54<6:14:17, 1.22s/step] Training: 74%|███████▍ | 51662/70000 [18:17:55<6:30:07, 1.28s/step] Training: 74%|███████▍ | 51663/70000 [18:17:56<6:34:49, 1.29s/step] Training: 74%|███████▍ | 51664/70000 [18:17:58<6:37:51, 1.30s/step] Training: 74%|███████▍ | 51665/70000 [18:17:59<6:31:37, 1.28s/step] Training: 74%|███████▍ | 51666/70000 [18:18:00<6:36:56, 1.30s/step] Training: 74%|███████▍ | 51667/70000 [18:18:02<6:40:49, 1.31s/step] Training: 74%|███████▍ | 51668/70000 [18:18:03<6:29:53, 1.28s/step] Training: 74%|███████▍ | 51669/70000 [18:18:04<6:22:09, 1.25s/step] Training: 74%|███████▍ | 51670/70000 [18:18:05<6:39:16, 1.31s/step] Training: 74%|███████▍ | 51671/70000 [18:18:07<6:28:06, 1.27s/step] Training: 74%|███████▍ | 51672/70000 [18:18:08<6:32:14, 1.28s/step] Training: 74%|███████▍ | 51673/70000 [18:18:09<6:26:57, 1.27s/step] Training: 74%|███████▍ | 51674/70000 [18:18:11<6:33:57, 1.29s/step] Training: 74%|███████▍ | 51675/70000 [18:18:12<6:38:14, 1.30s/step] Training: 74%|███████▍ | 51676/70000 [18:18:13<6:28:06, 1.27s/step] Training: 74%|███████▍ | 51677/70000 [18:18:14<6:20:31, 1.25s/step] Training: 74%|███████▍ | 51678/70000 [18:18:16<6:25:02, 1.26s/step] Training: 74%|███████▍ | 51679/70000 [18:18:17<6:31:20, 1.28s/step] Training: 74%|███████▍ | 51680/70000 [18:18:18<6:35:12, 1.29s/step] Training: 74%|███████▍ | 51681/70000 [18:18:20<6:39:12, 1.31s/step] Training: 74%|███████▍ | 51682/70000 [18:18:21<6:31:46, 1.28s/step] Training: 74%|███████▍ | 51683/70000 [18:18:22<6:36:29, 1.30s/step] Training: 74%|███████▍ | 51684/70000 [18:18:23<6:26:50, 1.27s/step] Training: 74%|███████▍ | 51685/70000 [18:18:25<6:19:42, 1.24s/step] Training: 74%|███████▍ | 51686/70000 [18:18:26<6:27:40, 1.27s/step] Training: 74%|███████▍ | 51687/70000 [18:18:27<6:26:32, 1.27s/step] Training: 74%|███████▍ | 51688/70000 [18:18:29<6:39:38, 1.31s/step] Training: 74%|███████▍ | 51689/70000 [18:18:30<6:41:51, 1.32s/step] Training: 74%|███████▍ | 51690/70000 [18:18:31<6:31:44, 1.28s/step] Training: 74%|███████▍ | 51691/70000 [18:18:32<6:25:33, 1.26s/step] Training: 74%|███████▍ | 51692/70000 [18:18:33<6:18:58, 1.24s/step] Training: 74%|███████▍ | 51693/70000 [18:18:35<6:13:59, 1.23s/step] Training: 74%|███████▍ | 51694/70000 [18:18:36<6:23:13, 1.26s/step] Training: 74%|███████▍ | 51695/70000 [18:18:37<6:30:10, 1.28s/step] Training: 74%|███████▍ | 51696/70000 [18:18:39<6:45:21, 1.33s/step] Training: 74%|███████▍ | 51697/70000 [18:18:40<6:36:52, 1.30s/step] Training: 74%|███████▍ | 51698/70000 [18:18:41<6:38:39, 1.31s/step] Training: 74%|███████▍ | 51699/70000 [18:18:43<6:40:44, 1.31s/step] Training: 74%|███████▍ | 51700/70000 [18:18:44<6:29:26, 1.28s/step]INFO 2026-03-13 14:28:36 ot_train.py:435 step:52K smpl:3M ep:11K epch:43.82 loss:0.008 grdn:1.623 lr:4.8e-06 updt_s:1.258 data_s:0.019 Training: 74%|███████▍ | 51701/70000 [18:18:45<6:21:27, 1.25s/step] Training: 74%|███████▍ | 51702/70000 [18:18:46<6:28:33, 1.27s/step] Training: 74%|███████▍ | 51703/70000 [18:18:48<6:37:22, 1.30s/step] Training: 74%|███████▍ | 51704/70000 [18:18:49<6:29:15, 1.28s/step] Training: 74%|███████▍ | 51705/70000 [18:18:50<6:23:13, 1.26s/step] Training: 74%|███████▍ | 51706/70000 [18:18:51<6:28:56, 1.28s/step] Training: 74%|███████▍ | 51707/70000 [18:18:53<6:33:23, 1.29s/step] Training: 74%|███████▍ | 51708/70000 [18:18:54<6:24:30, 1.26s/step] Training: 74%|███████▍ | 51709/70000 [18:18:55<6:18:02, 1.24s/step] Training: 74%|███████▍ | 51710/70000 [18:18:57<6:26:10, 1.27s/step] Training: 74%|███████▍ | 51711/70000 [18:18:58<6:23:16, 1.26s/step] Training: 74%|███████▍ | 51712/70000 [18:18:59<6:32:09, 1.29s/step] Training: 74%|███████▍ | 51713/70000 [18:19:00<6:35:15, 1.30s/step] Training: 74%|███████▍ | 51714/70000 [18:19:02<6:28:41, 1.28s/step] Training: 74%|███████▍ | 51715/70000 [18:19:03<6:21:13, 1.25s/step] Training: 74%|███████▍ | 51716/70000 [18:19:04<6:28:01, 1.27s/step] Training: 74%|███████▍ | 51717/70000 [18:19:05<6:20:35, 1.25s/step] Training: 74%|███████▍ | 51718/70000 [18:19:07<6:30:39, 1.28s/step] Training: 74%|███████▍ | 51719/70000 [18:19:08<6:22:24, 1.26s/step] Training: 74%|███████▍ | 51720/70000 [18:19:09<6:36:13, 1.30s/step] Training: 74%|███████▍ | 51721/70000 [18:19:11<6:38:48, 1.31s/step] Training: 74%|███████▍ | 51722/70000 [18:19:12<6:30:51, 1.28s/step] Training: 74%|███████▍ | 51723/70000 [18:19:13<6:22:12, 1.25s/step] Training: 74%|███████▍ | 51724/70000 [18:19:14<6:28:47, 1.28s/step] Training: 74%|███████▍ | 51725/70000 [18:19:16<6:20:59, 1.25s/step] Training: 74%|███████▍ | 51726/70000 [18:19:17<6:28:05, 1.27s/step] Training: 74%|███████▍ | 51727/70000 [18:19:18<6:20:17, 1.25s/step] Training: 74%|███████▍ | 51728/70000 [18:19:19<6:28:34, 1.28s/step] Training: 74%|███████▍ | 51729/70000 [18:19:21<6:24:50, 1.26s/step] Training: 74%|███████▍ | 51730/70000 [18:19:22<6:31:30, 1.29s/step] Training: 74%|███████▍ | 51731/70000 [18:19:23<6:36:38, 1.30s/step] Training: 74%|███████▍ | 51732/70000 [18:19:25<6:26:59, 1.27s/step] Training: 74%|███████▍ | 51733/70000 [18:19:26<6:19:43, 1.25s/step] Training: 74%|███████▍ | 51734/70000 [18:19:27<6:26:36, 1.27s/step] Training: 74%|███████▍ | 51735/70000 [18:19:28<6:22:29, 1.26s/step] Training: 74%|███████▍ | 51736/70000 [18:19:30<6:22:43, 1.26s/step] Training: 74%|███████▍ | 51737/70000 [18:19:31<6:18:54, 1.24s/step] Training: 74%|███████▍ | 51738/70000 [18:19:32<6:26:50, 1.27s/step] Training: 74%|███████▍ | 51739/70000 [18:19:33<6:32:13, 1.29s/step] Training: 74%|███████▍ | 51740/70000 [18:19:35<6:23:18, 1.26s/step] Training: 74%|███████▍ | 51741/70000 [18:19:36<6:17:04, 1.24s/step] Training: 74%|███████▍ | 51742/70000 [18:19:37<6:14:07, 1.23s/step] Training: 74%|███████▍ | 51743/70000 [18:19:38<6:22:41, 1.26s/step] Training: 74%|███████▍ | 51744/70000 [18:19:40<6:21:44, 1.25s/step] Training: 74%|███████▍ | 51745/70000 [18:19:41<6:28:39, 1.28s/step] Training: 74%|███████▍ | 51746/70000 [18:19:42<6:24:20, 1.26s/step] Training: 74%|███████▍ | 51747/70000 [18:19:43<6:21:25, 1.25s/step] Training: 74%|███████▍ | 51748/70000 [18:19:45<6:15:17, 1.23s/step] Training: 74%|███████▍ | 51749/70000 [18:19:46<6:11:39, 1.22s/step] Training: 74%|███████▍ | 51750/70000 [18:19:47<6:21:47, 1.26s/step] Training: 74%|███████▍ | 51751/70000 [18:19:49<6:37:57, 1.31s/step] Training: 74%|███████▍ | 51752/70000 [18:19:50<6:39:20, 1.31s/step] Training: 74%|███████▍ | 51753/70000 [18:19:51<6:50:03, 1.35s/step] Training: 74%|███████▍ | 51754/70000 [18:19:52<6:36:10, 1.30s/step] Training: 74%|███████▍ | 51755/70000 [18:19:54<6:27:56, 1.28s/step] Training: 74%|███████▍ | 51756/70000 [18:19:55<6:20:11, 1.25s/step] Training: 74%|███████▍ | 51757/70000 [18:19:56<6:14:51, 1.23s/step] Training: 74%|███████▍ | 51758/70000 [18:19:57<6:23:47, 1.26s/step] Training: 74%|███████▍ | 51759/70000 [18:19:59<6:30:22, 1.28s/step] Training: 74%|███████▍ | 51760/70000 [18:20:00<6:33:51, 1.30s/step] Training: 74%|███████▍ | 51761/70000 [18:20:01<6:32:24, 1.29s/step] Training: 74%|███████▍ | 51762/70000 [18:20:03<6:22:53, 1.26s/step] Training: 74%|███████▍ | 51763/70000 [18:20:04<6:41:08, 1.32s/step] Training: 74%|███████▍ | 51764/70000 [18:20:05<6:29:29, 1.28s/step] Training: 74%|███████▍ | 51765/70000 [18:20:06<6:20:56, 1.25s/step] Training: 74%|███████▍ | 51766/70000 [18:20:08<6:27:27, 1.27s/step] Training: 74%|███████▍ | 51767/70000 [18:20:09<6:29:45, 1.28s/step] Training: 74%|███████▍ | 51768/70000 [18:20:10<6:25:11, 1.27s/step] Training: 74%|███████▍ | 51769/70000 [18:20:11<6:20:55, 1.25s/step] Training: 74%|███████▍ | 51770/70000 [18:20:13<6:29:29, 1.28s/step] Training: 74%|███████▍ | 51771/70000 [18:20:14<6:32:38, 1.29s/step] Training: 74%|███████▍ | 51772/70000 [18:20:15<6:23:45, 1.26s/step] Training: 74%|███████▍ | 51773/70000 [18:20:16<6:16:47, 1.24s/step] Training: 74%|███████▍ | 51774/70000 [18:20:18<6:14:46, 1.23s/step] Training: 74%|███████▍ | 51775/70000 [18:20:19<6:23:06, 1.26s/step] Training: 74%|███████▍ | 51776/70000 [18:20:20<6:18:52, 1.25s/step] Training: 74%|███████▍ | 51777/70000 [18:20:22<6:29:44, 1.28s/step] Training: 74%|███████▍ | 51778/70000 [18:20:23<6:23:50, 1.26s/step] Training: 74%|███████▍ | 51779/70000 [18:20:24<6:21:03, 1.25s/step] Training: 74%|███████▍ | 51780/70000 [18:20:25<6:15:10, 1.24s/step] Training: 74%|███████▍ | 51781/70000 [18:20:26<6:11:08, 1.22s/step] Training: 74%|███████▍ | 51782/70000 [18:20:28<6:21:44, 1.26s/step] Training: 74%|███████▍ | 51783/70000 [18:20:29<6:17:32, 1.24s/step] Training: 74%|███████▍ | 51784/70000 [18:20:30<6:24:55, 1.27s/step] Training: 74%|███████▍ | 51785/70000 [18:20:32<6:39:51, 1.32s/step] Training: 74%|███████▍ | 51786/70000 [18:20:33<6:42:33, 1.33s/step] Training: 74%|███████▍ | 51787/70000 [18:20:34<6:31:11, 1.29s/step] Training: 74%|███████▍ | 51788/70000 [18:20:35<6:22:23, 1.26s/step] Training: 74%|███████▍ | 51789/70000 [18:20:37<6:16:16, 1.24s/step] Training: 74%|███████▍ | 51790/70000 [18:20:38<6:24:00, 1.27s/step] Training: 74%|███████▍ | 51791/70000 [18:20:39<6:29:54, 1.28s/step] Training: 74%|███████▍ | 51792/70000 [18:20:41<6:27:00, 1.28s/step] Training: 74%|███████▍ | 51793/70000 [18:20:42<6:25:16, 1.27s/step] Training: 74%|███████▍ | 51794/70000 [18:20:43<6:38:33, 1.31s/step] Training: 74%|███████▍ | 51795/70000 [18:20:45<6:40:08, 1.32s/step] Training: 74%|███████▍ | 51796/70000 [18:20:46<6:28:18, 1.28s/step] Training: 74%|███████▍ | 51797/70000 [18:20:47<6:20:15, 1.25s/step] Training: 74%|███████▍ | 51798/70000 [18:20:48<6:26:31, 1.27s/step] Training: 74%|███████▍ | 51799/70000 [18:20:50<6:30:52, 1.29s/step] Training: 74%|███████▍ | 51800/70000 [18:20:51<6:29:08, 1.28s/step]INFO 2026-03-13 14:30:43 ot_train.py:435 step:52K smpl:3M ep:11K epch:43.91 loss:0.008 grdn:0.976 lr:4.8e-06 updt_s:1.250 data_s:0.019 Training: 74%|███████▍ | 51801/70000 [18:20:52<6:25:50, 1.27s/step] Training: 74%|███████▍ | 51802/70000 [18:20:53<6:32:05, 1.29s/step] Training: 74%|███████▍ | 51803/70000 [18:20:55<6:35:12, 1.30s/step] Training: 74%|███████▍ | 51804/70000 [18:20:56<6:24:53, 1.27s/step] Training: 74%|███████▍ | 51805/70000 [18:20:57<6:18:06, 1.25s/step] Training: 74%|███████▍ | 51806/70000 [18:20:58<6:15:08, 1.24s/step] Training: 74%|███████▍ | 51807/70000 [18:21:00<6:23:17, 1.26s/step] Training: 74%|███████▍ | 51808/70000 [18:21:01<6:29:49, 1.29s/step] Training: 74%|███████▍ | 51809/70000 [18:21:02<6:34:25, 1.30s/step] Training: 74%|███████▍ | 51810/70000 [18:21:04<6:28:57, 1.28s/step] Training: 74%|███████▍ | 51811/70000 [18:21:05<6:24:08, 1.27s/step] Training: 74%|███████▍ | 51812/70000 [18:21:06<6:16:55, 1.24s/step] Training: 74%|███████▍ | 51813/70000 [18:21:07<6:11:57, 1.23s/step] Training: 74%|███████▍ | 51814/70000 [18:21:09<6:21:24, 1.26s/step] Training: 74%|███████▍ | 51815/70000 [18:21:10<6:15:38, 1.24s/step] Training: 74%|███████▍ | 51816/70000 [18:21:11<6:23:56, 1.27s/step] Training: 74%|███████▍ | 51817/70000 [18:21:12<6:31:30, 1.29s/step] Training: 74%|███████▍ | 51818/70000 [18:21:14<6:27:09, 1.28s/step] Training: 74%|███████▍ | 51819/70000 [18:21:15<6:20:25, 1.26s/step] Training: 74%|███████▍ | 51820/70000 [18:21:16<6:14:45, 1.24s/step] Training: 74%|███████▍ | 51821/70000 [18:21:17<6:10:25, 1.22s/step] Training: 74%|███████▍ | 51822/70000 [18:21:19<6:20:16, 1.26s/step] Training: 74%|███████▍ | 51823/70000 [18:21:20<6:27:11, 1.28s/step] Training: 74%|███████▍ | 51824/70000 [18:21:21<6:31:49, 1.29s/step] Training: 74%|███████▍ | 51825/70000 [18:21:23<6:27:42, 1.28s/step] Training: 74%|███████▍ | 51826/70000 [18:21:24<6:31:22, 1.29s/step] Training: 74%|███████▍ | 51827/70000 [18:21:25<6:43:40, 1.33s/step] Training: 74%|███████▍ | 51828/70000 [18:21:26<6:30:53, 1.29s/step] Training: 74%|███████▍ | 51829/70000 [18:21:28<6:21:50, 1.26s/step] Training: 74%|███████▍ | 51830/70000 [18:21:29<6:28:12, 1.28s/step] Training: 74%|███████▍ | 51831/70000 [18:21:30<6:31:56, 1.29s/step] Training: 74%|███████▍ | 51832/70000 [18:21:32<6:30:19, 1.29s/step] Training: 74%|███████▍ | 51833/70000 [18:21:33<6:23:59, 1.27s/step] Training: 74%|███████▍ | 51834/70000 [18:21:34<6:29:43, 1.29s/step] Training: 74%|███████▍ | 51835/70000 [18:21:36<6:42:17, 1.33s/step] Training: 74%|███████▍ | 51836/70000 [18:21:37<6:29:42, 1.29s/step] Training: 74%|███████▍ | 51837/70000 [18:21:38<6:20:40, 1.26s/step] Training: 74%|███████▍ | 51838/70000 [18:21:39<6:15:36, 1.24s/step] Training: 74%|███████▍ | 51839/70000 [18:21:40<6:22:35, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=6517 Training: 74%|███████▍ | 51840/70000 [18:21:42<6:28:58, 1.29s/step] Training: 74%|███████▍ | 51841/70000 [18:21:43<6:32:39, 1.30s/step] Training: 74%|███████▍ | 51842/70000 [18:21:44<6:26:09, 1.28s/step] Training: 74%|███████▍ | 51843/70000 [18:21:46<6:36:29, 1.31s/step] Training: 74%|███████▍ | 51844/70000 [18:21:47<6:24:30, 1.27s/step] Training: 74%|███████▍ | 51845/70000 [18:21:48<6:16:50, 1.25s/step] Training: 74%|███████▍ | 51846/70000 [18:21:49<6:24:57, 1.27s/step] Training: 74%|███████▍ | 51847/70000 [18:21:51<6:18:40, 1.25s/step] Training: 74%|███████▍ | 51848/70000 [18:21:52<6:26:52, 1.28s/step] Training: 74%|███████▍ | 51849/70000 [18:21:53<6:32:55, 1.30s/step] Training: 74%|███████▍ | 51850/70000 [18:21:55<6:26:50, 1.28s/step] Training: 74%|███████▍ | 51851/70000 [18:21:56<6:34:06, 1.30s/step] Training: 74%|███████▍ | 51852/70000 [18:21:57<6:23:22, 1.27s/step] Training: 74%|███████▍ | 51853/70000 [18:21:58<6:17:54, 1.25s/step] Training: 74%|███████▍ | 51854/70000 [18:22:00<6:24:03, 1.27s/step] Training: 74%|███████▍ | 51855/70000 [18:22:01<6:28:53, 1.29s/step] Training: 74%|███████▍ | 51856/70000 [18:22:02<6:34:58, 1.31s/step] Training: 74%|███████▍ | 51857/70000 [18:22:04<6:28:03, 1.28s/step] Training: 74%|███████▍ | 51858/70000 [18:22:05<6:31:55, 1.30s/step] Training: 74%|███████▍ | 51859/70000 [18:22:06<6:34:45, 1.31s/step] Training: 74%|███████▍ | 51860/70000 [18:22:08<6:39:47, 1.32s/step] Training: 74%|███████▍ | 51861/70000 [18:22:09<6:26:42, 1.28s/step] Training: 74%|███████▍ | 51862/70000 [18:22:10<6:31:34, 1.30s/step] Training: 74%|███████▍ | 51863/70000 [18:22:11<6:34:28, 1.30s/step] Training: 74%|███████▍ | 51864/70000 [18:22:13<6:30:40, 1.29s/step] Training: 74%|███████▍ | 51865/70000 [18:22:14<6:23:28, 1.27s/step] Training: 74%|███████▍ | 51866/70000 [18:22:15<6:30:04, 1.29s/step] Training: 74%|███████▍ | 51867/70000 [18:22:17<6:33:14, 1.30s/step] Training: 74%|███████▍ | 51868/70000 [18:22:18<6:38:39, 1.32s/step] Training: 74%|███████▍ | 51869/70000 [18:22:19<6:26:51, 1.28s/step] Training: 74%|███████▍ | 51870/70000 [18:22:20<6:20:49, 1.26s/step] Training: 74%|███████▍ | 51871/70000 [18:22:22<6:26:26, 1.28s/step] Training: 74%|███████▍ | 51872/70000 [18:22:23<6:31:28, 1.30s/step] Training: 74%|███████▍ | 51873/70000 [18:22:24<6:34:59, 1.31s/step] Training: 74%|███████▍ | 51874/70000 [18:22:26<6:28:10, 1.28s/step] Training: 74%|███████▍ | 51875/70000 [18:22:27<6:22:27, 1.27s/step] Training: 74%|███████▍ | 51876/70000 [18:22:28<6:19:05, 1.25s/step] Training: 74%|███████▍ | 51877/70000 [18:22:29<6:12:59, 1.23s/step] Training: 74%|███████▍ | 51878/70000 [18:22:30<6:21:07, 1.26s/step] Training: 74%|███████▍ | 51879/70000 [18:22:32<6:15:28, 1.24s/step] Training: 74%|███████▍ | 51880/70000 [18:22:33<6:23:45, 1.27s/step] Training: 74%|███████▍ | 51881/70000 [18:22:34<6:28:58, 1.29s/step] Training: 74%|███████▍ | 51882/70000 [18:22:36<6:22:15, 1.27s/step] Training: 74%|███████▍ | 51883/70000 [18:22:37<6:17:08, 1.25s/step] Training: 74%|███████▍ | 51884/70000 [18:22:38<6:18:55, 1.26s/step] Training: 74%|███████▍ | 51885/70000 [18:22:39<6:12:31, 1.23s/step] Training: 74%|███████▍ | 51886/70000 [18:22:41<6:23:07, 1.27s/step] Training: 74%|███████▍ | 51887/70000 [18:22:42<6:28:15, 1.29s/step] Training: 74%|███████▍ | 51888/70000 [18:22:43<6:32:19, 1.30s/step] Training: 74%|███████▍ | 51889/70000 [18:22:44<6:27:48, 1.28s/step] Training: 74%|███████▍ | 51890/70000 [18:22:46<6:31:03, 1.30s/step] Training: 74%|███████▍ | 51891/70000 [18:22:47<6:35:05, 1.31s/step] Training: 74%|███████▍ | 51892/70000 [18:22:48<6:24:08, 1.27s/step] Training: 74%|███████▍ | 51893/70000 [18:22:50<6:32:29, 1.30s/step] Training: 74%|███████▍ | 51894/70000 [18:22:51<6:33:42, 1.30s/step] Training: 74%|███████▍ | 51895/70000 [18:22:52<6:35:59, 1.31s/step] Training: 74%|███████▍ | 51896/70000 [18:22:54<6:29:14, 1.29s/step] Training: 74%|███████▍ | 51897/70000 [18:22:55<6:22:46, 1.27s/step] Training: 74%|███████▍ | 51898/70000 [18:22:56<6:28:38, 1.29s/step] Training: 74%|███████▍ | 51899/70000 [18:22:57<6:32:46, 1.30s/step] Training: 74%|███████▍ | 51900/70000 [18:22:59<6:22:55, 1.27s/step]INFO 2026-03-13 14:32:51 ot_train.py:435 step:52K smpl:3M ep:11K epch:43.99 loss:0.008 grdn:0.844 lr:4.8e-06 updt_s:1.257 data_s:0.019 Training: 74%|███████▍ | 51901/70000 [18:23:00<6:22:51, 1.27s/step] Training: 74%|███████▍ | 51902/70000 [18:23:01<6:16:50, 1.25s/step] Training: 74%|███████▍ | 51903/70000 [18:23:02<6:23:39, 1.27s/step] Training: 74%|███████▍ | 51904/70000 [18:23:04<6:28:29, 1.29s/step] Training: 74%|███████▍ | 51905/70000 [18:23:05<6:32:00, 1.30s/step] Training: 74%|███████▍ | 51906/70000 [18:23:06<6:25:03, 1.28s/step] Training: 74%|███████▍ | 51907/70000 [18:23:08<6:21:21, 1.26s/step] Training: 74%|███████▍ | 51908/70000 [18:23:09<6:15:07, 1.24s/step] Training: 74%|███████▍ | 51909/70000 [18:23:10<6:11:04, 1.23s/step] Training: 74%|███████▍ | 51910/70000 [18:23:11<6:29:32, 1.29s/step] Training: 74%|███████▍ | 51911/70000 [18:23:13<6:22:46, 1.27s/step] Training: 74%|███████▍ | 51912/70000 [18:23:14<6:28:45, 1.29s/step] Training: 74%|███████▍ | 51913/70000 [18:23:15<6:34:00, 1.31s/step] Training: 74%|███████▍ | 51914/70000 [18:23:17<6:26:42, 1.28s/step] Training: 74%|███████▍ | 51915/70000 [18:23:18<6:20:41, 1.26s/step] Training: 74%|███████▍ | 51916/70000 [18:23:19<6:14:18, 1.24s/step] Training: 74%|███████▍ | 51917/70000 [18:23:20<6:25:18, 1.28s/step] Training: 74%|███████▍ | 51918/70000 [18:23:22<6:29:20, 1.29s/step] Training: 74%|███████▍ | 51919/70000 [18:23:23<6:33:29, 1.31s/step] Training: 74%|███████▍ | 51920/70000 [18:23:25<8:21:51, 1.67s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 74%|███████▍ | 51921/70000 [18:23:30<12:23:54, 2.47s/step] Training: 74%|███████▍ | 51922/70000 [18:23:31<10:46:40, 2.15s/step] Training: 74%|███████▍ | 51923/70000 [18:23:33<9:36:27, 1.91s/step] Training: 74%|███████▍ | 51924/70000 [18:23:34<8:31:14, 1.70s/step] Training: 74%|███████▍ | 51925/70000 [18:23:35<7:45:17, 1.54s/step] Training: 74%|███████▍ | 51926/70000 [18:23:36<7:38:06, 1.52s/step] Training: 74%|███████▍ | 51927/70000 [18:23:38<7:22:06, 1.47s/step] Training: 74%|███████▍ | 51928/70000 [18:23:39<7:08:17, 1.42s/step] Training: 74%|███████▍ | 51929/70000 [18:23:40<6:49:20, 1.36s/step] Training: 74%|███████▍ | 51930/70000 [18:23:42<6:47:19, 1.35s/step] Training: 74%|███████▍ | 51931/70000 [18:23:43<6:45:56, 1.35s/step] Training: 74%|███████▍ | 51932/70000 [18:23:44<6:31:50, 1.30s/step] Training: 74%|███████▍ | 51933/70000 [18:23:45<6:21:37, 1.27s/step] Training: 74%|███████▍ | 51934/70000 [18:23:47<6:28:27, 1.29s/step] Training: 74%|███████▍ | 51935/70000 [18:23:48<6:30:24, 1.30s/step] Training: 74%|███████▍ | 51936/70000 [18:23:49<6:34:04, 1.31s/step] Training: 74%|███████▍ | 51937/70000 [18:23:51<6:23:18, 1.27s/step] Training: 74%|███████▍ | 51938/70000 [18:23:52<6:29:04, 1.29s/step] Training: 74%|███████▍ | 51939/70000 [18:23:53<6:24:48, 1.28s/step] Training: 74%|███████▍ | 51940/70000 [18:23:54<6:16:53, 1.25s/step] Training: 74%|███████▍ | 51941/70000 [18:23:56<6:11:20, 1.23s/step] Training: 74%|███████▍ | 51942/70000 [18:23:57<6:20:08, 1.26s/step] Training: 74%|███████▍ | 51943/70000 [18:23:58<6:14:39, 1.24s/step] Training: 74%|███████▍ | 51944/70000 [18:23:59<6:22:46, 1.27s/step] Training: 74%|███████▍ | 51945/70000 [18:24:01<6:15:11, 1.25s/step] Training: 74%|███████▍ | 51946/70000 [18:24:02<6:19:08, 1.26s/step] Training: 74%|███████▍ | 51947/70000 [18:24:03<6:15:32, 1.25s/step] Training: 74%|███████▍ | 51948/70000 [18:24:04<6:10:26, 1.23s/step] Training: 74%|███████▍ | 51949/70000 [18:24:05<6:06:27, 1.22s/step] Training: 74%|███████▍ | 51950/70000 [18:24:07<6:22:07, 1.27s/step] Training: 74%|███████▍ | 51951/70000 [18:24:08<6:28:18, 1.29s/step] Training: 74%|███████▍ | 51952/70000 [18:24:10<6:33:11, 1.31s/step] Training: 74%|███████▍ | 51953/70000 [18:24:11<6:22:36, 1.27s/step] Training: 74%|███████▍ | 51954/70000 [18:24:12<6:17:36, 1.26s/step] Training: 74%|███████▍ | 51955/70000 [18:24:13<6:34:25, 1.31s/step] Training: 74%|███████▍ | 51956/70000 [18:24:15<6:23:26, 1.28s/step] Training: 74%|███████▍ | 51957/70000 [18:24:16<6:15:53, 1.25s/step] Training: 74%|███████▍ | 51958/70000 [18:24:17<6:23:06, 1.27s/step] Training: 74%|███████▍ | 51959/70000 [18:24:18<6:27:56, 1.29s/step] Training: 74%|███████▍ | 51960/70000 [18:24:20<6:22:14, 1.27s/step] Training: 74%|███████▍ | 51961/70000 [18:24:21<6:14:55, 1.25s/step] Training: 74%|███████▍ | 51962/70000 [18:24:22<6:22:10, 1.27s/step] Training: 74%|███████▍ | 51963/70000 [18:24:24<6:27:50, 1.29s/step] Training: 74%|███████▍ | 51964/70000 [18:24:25<6:18:45, 1.26s/step] Training: 74%|███████▍ | 51965/70000 [18:24:26<6:12:38, 1.24s/step] Training: 74%|███████▍ | 51966/70000 [18:24:27<6:09:54, 1.23s/step] Training: 74%|███████▍ | 51967/70000 [18:24:29<6:28:16, 1.29s/step] Training: 74%|███████▍ | 51968/70000 [18:24:30<6:31:54, 1.30s/step] Training: 74%|███████▍ | 51969/70000 [18:24:31<6:21:58, 1.27s/step] Training: 74%|███████▍ | 51970/70000 [18:24:32<6:14:49, 1.25s/step] Training: 74%|███████▍ | 51971/70000 [18:24:34<6:22:10, 1.27s/step] Training: 74%|███████▍ | 51972/70000 [18:24:35<6:15:30, 1.25s/step] Training: 74%|███████▍ | 51973/70000 [18:24:36<6:10:00, 1.23s/step] Training: 74%|███████▍ | 51974/70000 [18:24:37<6:18:28, 1.26s/step] Training: 74%|███████▍ | 51975/70000 [18:24:39<6:20:42, 1.27s/step] Training: 74%|███████▍ | 51976/70000 [18:24:40<6:27:02, 1.29s/step] Training: 74%|███████▍ | 51977/70000 [18:24:41<6:18:12, 1.26s/step] Training: 74%|███████▍ | 51978/70000 [18:24:42<6:16:19, 1.25s/step] Training: 74%|███████▍ | 51979/70000 [18:24:44<6:23:46, 1.28s/step] Training: 74%|███████▍ | 51980/70000 [18:24:45<6:15:58, 1.25s/step] Training: 74%|███████▍ | 51981/70000 [18:24:46<6:10:57, 1.24s/step] Training: 74%|███████▍ | 51982/70000 [18:24:47<6:18:45, 1.26s/step] Training: 74%|███████▍ | 51983/70000 [18:24:49<6:27:33, 1.29s/step] Training: 74%|███████▍ | 51984/70000 [18:24:50<6:30:00, 1.30s/step] Training: 74%|███████▍ | 51985/70000 [18:24:51<6:21:20, 1.27s/step] Training: 74%|███████▍ | 51986/70000 [18:24:52<6:13:47, 1.24s/step] Training: 74%|███████▍ | 51987/70000 [18:24:54<6:34:01, 1.31s/step] Training: 74%|███████▍ | 51988/70000 [18:24:55<6:23:02, 1.28s/step] Training: 74%|███████▍ | 51989/70000 [18:24:56<6:15:24, 1.25s/step] Training: 74%|███████▍ | 51990/70000 [18:24:58<6:22:09, 1.27s/step] Training: 74%|███████▍ | 51991/70000 [18:24:59<6:29:07, 1.30s/step] Training: 74%|███████▍ | 51992/70000 [18:25:00<6:22:06, 1.27s/step] Training: 74%|███████▍ | 51993/70000 [18:25:01<6:14:27, 1.25s/step] Training: 74%|███████▍ | 51994/70000 [18:25:03<6:22:05, 1.27s/step] Training: 74%|███████▍ | 51995/70000 [18:25:04<6:28:43, 1.30s/step] Training: 74%|███████▍ | 51996/70000 [18:25:05<6:18:59, 1.26s/step] Training: 74%|███████▍ | 51997/70000 [18:25:06<6:12:10, 1.24s/step] Training: 74%|███████▍ | 51998/70000 [18:25:08<6:08:41, 1.23s/step] Training: 74%|███████▍ | 51999/70000 [18:25:09<6:08:09, 1.23s/step] Training: 74%|███████▍ | 52000/70000 [18:25:10<6:26:11, 1.29s/step]INFO 2026-03-13 14:35:02 ot_train.py:435 step:52K smpl:3M ep:11K epch:44.08 loss:0.009 grdn:0.918 lr:4.7e-06 updt_s:1.252 data_s:0.062 Training: 74%|███████▍ | 52001/70000 [18:25:11<6:17:18, 1.26s/step] Training: 74%|███████▍ | 52002/70000 [18:25:13<6:12:50, 1.24s/step] Training: 74%|███████▍ | 52003/70000 [18:25:14<6:16:21, 1.25s/step] Training: 74%|███████▍ | 52004/70000 [18:25:15<6:10:40, 1.24s/step] Training: 74%|███████▍ | 52005/70000 [18:25:16<6:06:27, 1.22s/step] Training: 74%|███████▍ | 52006/70000 [18:25:18<6:16:40, 1.26s/step] Training: 74%|███████▍ | 52007/70000 [18:25:19<6:11:28, 1.24s/step] Training: 74%|███████▍ | 52008/70000 [18:25:20<6:30:31, 1.30s/step] Training: 74%|███████▍ | 52009/70000 [18:25:22<6:20:29, 1.27s/step] Training: 74%|███████▍ | 52010/70000 [18:25:23<6:17:24, 1.26s/step] Training: 74%|███████▍ | 52011/70000 [18:25:24<6:13:29, 1.25s/step] Training: 74%|███████▍ | 52012/70000 [18:25:25<6:18:37, 1.26s/step] Training: 74%|███████▍ | 52013/70000 [18:25:26<6:12:50, 1.24s/step] Training: 74%|███████▍ | 52014/70000 [18:25:28<6:20:45, 1.27s/step] Training: 74%|███████▍ | 52015/70000 [18:25:29<6:26:20, 1.29s/step] Training: 74%|███████▍ | 52016/70000 [18:25:31<6:32:04, 1.31s/step] Training: 74%|███████▍ | 52017/70000 [18:25:32<6:21:40, 1.27s/step] Training: 74%|███████▍ | 52018/70000 [18:25:33<6:13:42, 1.25s/step] Training: 74%|███████▍ | 52019/70000 [18:25:34<6:33:13, 1.31s/step] Training: 74%|███████▍ | 52020/70000 [18:25:36<6:22:04, 1.28s/step] Training: 74%|███████▍ | 52021/70000 [18:25:37<6:14:32, 1.25s/step] Training: 74%|███████▍ | 52022/70000 [18:25:38<6:21:24, 1.27s/step] Training: 74%|███████▍ | 52023/70000 [18:25:39<6:26:18, 1.29s/step] Training: 74%|███████▍ | 52024/70000 [18:25:41<6:24:53, 1.28s/step] Training: 74%|███████▍ | 52025/70000 [18:25:42<6:21:28, 1.27s/step] Training: 74%|███████▍ | 52026/70000 [18:25:43<6:26:36, 1.29s/step] Training: 74%|███████▍ | 52027/70000 [18:25:45<6:31:03, 1.31s/step] Training: 74%|███████▍ | 52028/70000 [18:25:46<6:20:59, 1.27s/step] Training: 74%|███████▍ | 52029/70000 [18:25:47<6:13:18, 1.25s/step] Training: 74%|███████▍ | 52030/70000 [18:25:48<6:10:27, 1.24s/step] Training: 74%|███████▍ | 52031/70000 [18:25:49<6:09:25, 1.23s/step] Training: 74%|███████▍ | 52032/70000 [18:25:51<6:09:00, 1.23s/step] Training: 74%|███████▍ | 52033/70000 [18:25:52<6:18:21, 1.26s/step] Training: 74%|███████▍ | 52034/70000 [18:25:53<6:11:24, 1.24s/step] Training: 74%|███████▍ | 52035/70000 [18:25:54<6:15:56, 1.26s/step] Training: 74%|███████▍ | 52036/70000 [18:25:56<6:10:14, 1.24s/step] Training: 74%|███████▍ | 52037/70000 [18:25:57<6:06:11, 1.22s/step] Training: 74%|███████▍ | 52038/70000 [18:25:58<6:15:33, 1.25s/step] Training: 74%|███████▍ | 52039/70000 [18:25:59<6:11:37, 1.24s/step] Training: 74%|███████▍ | 52040/70000 [18:26:01<6:10:37, 1.24s/step] Training: 74%|███████▍ | 52041/70000 [18:26:02<6:18:09, 1.26s/step] Training: 74%|███████▍ | 52042/70000 [18:26:03<6:22:36, 1.28s/step] Training: 74%|███████▍ | 52043/70000 [18:26:04<6:16:30, 1.26s/step] Training: 74%|███████▍ | 52044/70000 [18:26:06<6:20:05, 1.27s/step] Training: 74%|███████▍ | 52045/70000 [18:26:07<6:12:47, 1.25s/step] Training: 74%|███████▍ | 52046/70000 [18:26:08<6:19:17, 1.27s/step] Training: 74%|███████▍ | 52047/70000 [18:26:10<6:24:12, 1.28s/step] Training: 74%|███████▍ | 52048/70000 [18:26:11<6:19:05, 1.27s/step] Training: 74%|███████▍ | 52049/70000 [18:26:12<6:12:24, 1.24s/step] Training: 74%|███████▍ | 52050/70000 [18:26:13<6:20:45, 1.27s/step] Training: 74%|███████▍ | 52051/70000 [18:26:15<6:24:45, 1.29s/step] Training: 74%|███████▍ | 52052/70000 [18:26:16<6:16:25, 1.26s/step] Training: 74%|███████▍ | 52053/70000 [18:26:17<6:10:43, 1.24s/step] Training: 74%|███████▍ | 52054/70000 [18:26:18<6:18:40, 1.27s/step] Training: 74%|███████▍ | 52055/70000 [18:26:20<6:24:11, 1.28s/step] Training: 74%|███████▍ | 52056/70000 [18:26:21<6:31:20, 1.31s/step] Training: 74%|███████▍ | 52057/70000 [18:26:22<6:35:41, 1.32s/step] Training: 74%|███████▍ | 52058/70000 [18:26:24<6:35:14, 1.32s/step] Training: 74%|███████▍ | 52059/70000 [18:26:25<6:37:51, 1.33s/step] Training: 74%|███████▍ | 52060/70000 [18:26:26<6:25:04, 1.29s/step] Training: 74%|███████▍ | 52061/70000 [18:26:27<6:16:34, 1.26s/step] Training: 74%|███████▍ | 52062/70000 [18:26:29<6:11:53, 1.24s/step] Training: 74%|███████▍ | 52063/70000 [18:26:30<6:09:51, 1.24s/step] Training: 74%|███████▍ | 52064/70000 [18:26:31<6:19:00, 1.27s/step] Training: 74%|███████▍ | 52065/70000 [18:26:32<6:11:43, 1.24s/step] Training: 74%|███████▍ | 52066/70000 [18:26:34<6:29:52, 1.30s/step] Training: 74%|███████▍ | 52067/70000 [18:26:35<6:27:18, 1.30s/step] Training: 74%|███████▍ | 52068/70000 [18:26:36<6:17:42, 1.26s/step] Training: 74%|███████▍ | 52069/70000 [18:26:38<6:11:35, 1.24s/step] Training: 74%|███████▍ | 52070/70000 [18:26:39<6:19:07, 1.27s/step] Training: 74%|███████▍ | 52071/70000 [18:26:40<6:13:24, 1.25s/step] Training: 74%|███████▍ | 52072/70000 [18:26:41<6:24:06, 1.29s/step] Training: 74%|███████▍ | 52073/70000 [18:26:43<6:15:38, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=21500 Training: 74%|███████▍ | 52074/70000 [18:26:44<6:29:11, 1.30s/step] Training: 74%|███████▍ | 52075/70000 [18:26:45<6:22:01, 1.28s/step] Training: 74%|███████▍ | 52076/70000 [18:26:47<6:23:16, 1.28s/step] Training: 74%|███████▍ | 52077/70000 [18:26:48<6:14:54, 1.26s/step] Training: 74%|███████▍ | 52078/70000 [18:26:49<6:22:18, 1.28s/step] Training: 74%|███████▍ | 52079/70000 [18:26:50<6:26:24, 1.29s/step] Training: 74%|███████▍ | 52080/70000 [18:26:52<6:29:40, 1.30s/step] Training: 74%|███████▍ | 52081/70000 [18:26:53<6:19:19, 1.27s/step] Training: 74%|███████▍ | 52082/70000 [18:26:54<6:13:38, 1.25s/step] Training: 74%|███████▍ | 52083/70000 [18:26:55<6:20:59, 1.28s/step] Training: 74%|███████▍ | 52084/70000 [18:26:57<6:16:06, 1.26s/step] Training: 74%|███████▍ | 52085/70000 [18:26:58<6:09:06, 1.24s/step] Training: 74%|███████▍ | 52086/70000 [18:26:59<6:17:47, 1.27s/step] Training: 74%|███████▍ | 52087/70000 [18:27:01<6:22:59, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=43367 Training: 74%|███████▍ | 52088/70000 [18:27:02<6:30:07, 1.31s/step] Training: 74%|███████▍ | 52089/70000 [18:27:03<6:20:16, 1.27s/step] Training: 74%|███████▍ | 52090/70000 [18:27:04<6:33:30, 1.32s/step] Training: 74%|███████▍ | 52091/70000 [18:27:06<6:37:17, 1.33s/step] Training: 74%|███████▍ | 52092/70000 [18:27:07<6:24:59, 1.29s/step] Training: 74%|███████▍ | 52093/70000 [18:27:08<6:15:53, 1.26s/step] Training: 74%|███████▍ | 52094/70000 [18:27:09<6:12:07, 1.25s/step] Training: 74%|███████▍ | 52095/70000 [18:27:11<6:11:03, 1.24s/step] Training: 74%|███████▍ | 52096/70000 [18:27:12<6:19:39, 1.27s/step] Training: 74%|███████▍ | 52097/70000 [18:27:13<6:12:04, 1.25s/step] Training: 74%|███████▍ | 52098/70000 [18:27:15<6:18:28, 1.27s/step] Training: 74%|███████▍ | 52099/70000 [18:27:16<6:19:35, 1.27s/step] Training: 74%|███████▍ | 52100/70000 [18:27:17<6:12:13, 1.25s/step]INFO 2026-03-13 14:37:09 ot_train.py:435 step:52K smpl:3M ep:11K epch:44.16 loss:0.008 grdn:0.644 lr:4.7e-06 updt_s:1.246 data_s:0.019 Training: 74%|███████▍ | 52101/70000 [18:27:18<6:07:22, 1.23s/step] Training: 74%|███████▍ | 52102/70000 [18:27:20<6:16:42, 1.26s/step] Training: 74%|███████▍ | 52103/70000 [18:27:21<6:12:32, 1.25s/step] Training: 74%|███████▍ | 52104/70000 [18:27:22<6:23:55, 1.29s/step] Training: 74%|███████▍ | 52105/70000 [18:27:23<6:15:15, 1.26s/step] Training: 74%|███████▍ | 52106/70000 [18:27:25<6:21:14, 1.28s/step] Training: 74%|███████▍ | 52107/70000 [18:27:26<6:27:15, 1.30s/step] Training: 74%|███████▍ | 52108/70000 [18:27:27<6:23:09, 1.28s/step] Training: 74%|███████▍ | 52109/70000 [18:27:28<6:14:39, 1.26s/step] Training: 74%|███████▍ | 52110/70000 [18:27:30<6:20:52, 1.28s/step] Training: 74%|███████▍ | 52111/70000 [18:27:31<6:12:44, 1.25s/step] Training: 74%|███████▍ | 52112/70000 [18:27:32<6:31:14, 1.31s/step] Training: 74%|███████▍ | 52113/70000 [18:27:34<6:20:23, 1.28s/step] Training: 74%|███████▍ | 52114/70000 [18:27:35<6:13:48, 1.25s/step] Training: 74%|███████▍ | 52115/70000 [18:27:36<6:29:54, 1.31s/step] Training: 74%|███████▍ | 52116/70000 [18:27:37<6:19:29, 1.27s/step] Training: 74%|███████▍ | 52117/70000 [18:27:39<6:11:49, 1.25s/step] Training: 74%|███████▍ | 52118/70000 [18:27:40<6:18:19, 1.27s/step] Training: 74%|███████▍ | 52119/70000 [18:27:41<6:10:53, 1.24s/step] Training: 74%|███████▍ | 52120/70000 [18:27:43<6:23:49, 1.29s/step] Training: 74%|███████▍ | 52121/70000 [18:27:44<6:15:06, 1.26s/step] Training: 74%|███████▍ | 52122/70000 [18:27:45<6:20:34, 1.28s/step] Training: 74%|███████▍ | 52123/70000 [18:27:46<6:30:04, 1.31s/step] Training: 74%|███████▍ | 52124/70000 [18:27:48<6:18:25, 1.27s/step] Training: 74%|███████▍ | 52125/70000 [18:27:49<6:11:41, 1.25s/step] Training: 74%|███████▍ | 52126/70000 [18:27:50<6:09:31, 1.24s/step] Training: 74%|███████▍ | 52127/70000 [18:27:51<6:08:23, 1.24s/step] Training: 74%|███████▍ | 52128/70000 [18:27:53<6:17:13, 1.27s/step] Training: 74%|███████▍ | 52129/70000 [18:27:54<6:10:17, 1.24s/step] Training: 74%|███████▍ | 52130/70000 [18:27:55<6:17:05, 1.27s/step] Training: 74%|███████▍ | 52131/70000 [18:27:56<6:28:57, 1.31s/step] Training: 74%|███████▍ | 52132/70000 [18:27:58<6:17:40, 1.27s/step] Training: 74%|███████▍ | 52133/70000 [18:27:59<6:10:08, 1.24s/step] Training: 74%|███████▍ | 52134/70000 [18:28:00<6:18:03, 1.27s/step] Training: 74%|███████▍ | 52135/70000 [18:28:01<6:12:52, 1.25s/step] Training: 74%|███████▍ | 52136/70000 [18:28:03<6:23:55, 1.29s/step] Training: 74%|███████▍ | 52137/70000 [18:28:04<6:14:46, 1.26s/step] Training: 74%|███████▍ | 52138/70000 [18:28:05<6:11:32, 1.25s/step] Training: 74%|███████▍ | 52139/70000 [18:28:06<6:08:33, 1.24s/step] Training: 74%|███████▍ | 52140/70000 [18:28:08<6:18:05, 1.27s/step] Training: 74%|███████▍ | 52141/70000 [18:28:09<6:10:25, 1.24s/step] Training: 74%|███████▍ | 52142/70000 [18:28:10<6:18:07, 1.27s/step] Training: 74%|███████▍ | 52143/70000 [18:28:12<6:22:33, 1.29s/step] Training: 74%|███████▍ | 52144/70000 [18:28:13<6:26:37, 1.30s/step] Training: 74%|███████▍ | 52145/70000 [18:28:14<6:17:03, 1.27s/step] Training: 74%|███████▍ | 52146/70000 [18:28:15<6:12:19, 1.25s/step] Training: 74%|███████▍ | 52147/70000 [18:28:17<6:21:16, 1.28s/step] Training: 74%|███████▍ | 52148/70000 [18:28:18<6:28:17, 1.31s/step] Training: 74%|███████▍ | 52149/70000 [18:28:19<6:17:08, 1.27s/step] Training: 74%|███████▍ | 52150/70000 [18:28:21<6:23:02, 1.29s/step] Training: 75%|███████▍ | 52151/70000 [18:28:22<6:26:27, 1.30s/step] Training: 75%|███████▍ | 52152/70000 [18:28:23<6:32:44, 1.32s/step] Training: 75%|███████▍ | 52153/70000 [18:28:24<6:21:14, 1.28s/step] Training: 75%|███████▍ | 52154/70000 [18:28:26<6:25:09, 1.29s/step] Training: 75%|███████▍ | 52155/70000 [18:28:27<6:29:26, 1.31s/step] Training: 75%|███████▍ | 52156/70000 [18:28:28<6:31:13, 1.32s/step] Training: 75%|███████▍ | 52157/70000 [18:28:30<6:19:26, 1.28s/step] Training: 75%|███████▍ | 52158/70000 [18:28:31<6:13:46, 1.26s/step] Training: 75%|███████▍ | 52159/70000 [18:28:32<6:10:55, 1.25s/step] Training: 75%|███████▍ | 52160/70000 [18:28:33<6:17:51, 1.27s/step] Training: 75%|███████▍ | 52161/70000 [18:28:35<6:10:27, 1.25s/step] Training: 75%|███████▍ | 52162/70000 [18:28:36<6:17:01, 1.27s/step] Training: 75%|███████▍ | 52163/70000 [18:28:37<6:19:16, 1.28s/step] Training: 75%|███████▍ | 52164/70000 [18:28:39<6:26:23, 1.30s/step] Training: 75%|███████▍ | 52165/70000 [18:28:40<6:15:33, 1.26s/step] Training: 75%|███████▍ | 52166/70000 [18:28:41<6:21:35, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=57702 Training: 75%|███████▍ | 52167/70000 [18:28:42<6:14:23, 1.26s/step] Training: 75%|███████▍ | 52168/70000 [18:28:44<6:24:14, 1.29s/step] Training: 75%|███████▍ | 52169/70000 [18:28:45<6:14:56, 1.26s/step] Training: 75%|███████▍ | 52170/70000 [18:28:46<6:09:28, 1.24s/step] Training: 75%|███████▍ | 52171/70000 [18:28:47<6:05:48, 1.23s/step] Training: 75%|███████▍ | 52172/70000 [18:28:48<6:06:57, 1.24s/step] Training: 75%|███████▍ | 52173/70000 [18:28:50<6:01:42, 1.22s/step] Training: 75%|███████▍ | 52174/70000 [18:28:51<6:11:16, 1.25s/step] Training: 75%|███████▍ | 52175/70000 [18:28:52<6:18:09, 1.27s/step] Training: 75%|███████▍ | 52176/70000 [18:28:54<6:22:35, 1.29s/step] Training: 75%|███████▍ | 52177/70000 [18:28:55<6:13:45, 1.26s/step] Training: 75%|███████▍ | 52178/70000 [18:28:56<6:19:51, 1.28s/step] Training: 75%|███████▍ | 52179/70000 [18:28:57<6:24:18, 1.29s/step] Training: 75%|███████▍ | 52180/70000 [18:28:59<6:15:09, 1.26s/step] Training: 75%|███████▍ | 52181/70000 [18:29:00<6:23:00, 1.29s/step] Training: 75%|███████▍ | 52182/70000 [18:29:01<6:25:28, 1.30s/step] Training: 75%|███████▍ | 52183/70000 [18:29:03<6:27:31, 1.30s/step] Training: 75%|███████▍ | 52184/70000 [18:29:04<6:34:15, 1.33s/step] Training: 75%|███████▍ | 52185/70000 [18:29:05<6:21:32, 1.28s/step] Training: 75%|███████▍ | 52186/70000 [18:29:06<6:14:21, 1.26s/step] Training: 75%|███████▍ | 52187/70000 [18:29:08<6:23:33, 1.29s/step] Training: 75%|███████▍ | 52188/70000 [18:29:09<6:14:02, 1.26s/step] Training: 75%|███████▍ | 52189/70000 [18:29:10<6:18:21, 1.27s/step] Training: 75%|███████▍ | 52190/70000 [18:29:11<6:12:39, 1.26s/step] Training: 75%|███████▍ | 52191/70000 [18:29:13<6:09:44, 1.25s/step] Training: 75%|███████▍ | 52192/70000 [18:29:14<6:16:33, 1.27s/step] Training: 75%|███████▍ | 52193/70000 [18:29:15<6:09:49, 1.25s/step] Training: 75%|███████▍ | 52194/70000 [18:29:16<6:04:18, 1.23s/step] Training: 75%|███████▍ | 52195/70000 [18:29:18<6:12:22, 1.25s/step] Training: 75%|███████▍ | 52196/70000 [18:29:19<6:06:06, 1.23s/step] Training: 75%|███████▍ | 52197/70000 [18:29:20<6:18:29, 1.28s/step] Training: 75%|███████▍ | 52198/70000 [18:29:22<6:23:26, 1.29s/step] Training: 75%|███████▍ | 52199/70000 [18:29:23<6:15:57, 1.27s/step] Training: 75%|███████▍ | 52200/70000 [18:29:24<6:26:39, 1.30s/step]INFO 2026-03-13 14:39:16 ot_train.py:435 step:52K smpl:3M ep:11K epch:44.24 loss:0.008 grdn:0.851 lr:4.6e-06 updt_s:1.251 data_s:0.018 Training: 75%|███████▍ | 52201/70000 [18:29:25<6:16:32, 1.27s/step] Training: 75%|███████▍ | 52202/70000 [18:29:27<6:09:11, 1.24s/step] Training: 75%|███████▍ | 52203/70000 [18:29:28<6:28:35, 1.31s/step] Training: 75%|███████▍ | 52204/70000 [18:29:29<6:18:13, 1.28s/step] Training: 75%|███████▍ | 52205/70000 [18:29:30<6:10:25, 1.25s/step] Training: 75%|███████▍ | 52206/70000 [18:29:32<6:26:20, 1.30s/step] Training: 75%|███████▍ | 52207/70000 [18:29:33<6:28:11, 1.31s/step] Training: 75%|███████▍ | 52208/70000 [18:29:34<6:30:37, 1.32s/step] Training: 75%|███████▍ | 52209/70000 [18:29:36<6:19:13, 1.28s/step] Training: 75%|███████▍ | 52210/70000 [18:29:37<6:11:00, 1.25s/step] Training: 75%|███████▍ | 52211/70000 [18:29:38<6:17:57, 1.27s/step] Training: 75%|███████▍ | 52212/70000 [18:29:39<6:10:17, 1.25s/step] Training: 75%|███████▍ | 52213/70000 [18:29:41<6:04:45, 1.23s/step] Training: 75%|███████▍ | 52214/70000 [18:29:42<6:20:25, 1.28s/step] Training: 75%|███████▍ | 52215/70000 [18:29:43<6:24:35, 1.30s/step] Training: 75%|███████▍ | 52216/70000 [18:29:45<6:30:28, 1.32s/step] Training: 75%|███████▍ | 52217/70000 [18:29:46<6:19:03, 1.28s/step] Training: 75%|███████▍ | 52218/70000 [18:29:47<6:11:00, 1.25s/step] Training: 75%|███████▍ | 52219/70000 [18:29:48<6:22:49, 1.29s/step] Training: 75%|███████▍ | 52220/70000 [18:29:50<6:13:30, 1.26s/step] Training: 75%|███████▍ | 52221/70000 [18:29:51<6:07:23, 1.24s/step] Training: 75%|███████▍ | 52222/70000 [18:29:52<6:03:49, 1.23s/step] Training: 75%|███████▍ | 52223/70000 [18:29:53<6:03:09, 1.23s/step] Training: 75%|███████▍ | 52224/70000 [18:29:55<6:12:00, 1.26s/step] Training: 75%|███████▍ | 52225/70000 [18:29:56<6:06:00, 1.24s/step] Training: 75%|███████▍ | 52226/70000 [18:29:57<6:01:49, 1.22s/step] Training: 75%|███████▍ | 52227/70000 [18:29:58<6:05:12, 1.23s/step] Training: 75%|███████▍ | 52228/70000 [18:29:59<6:01:18, 1.22s/step] Training: 75%|███████▍ | 52229/70000 [18:30:01<5:58:29, 1.21s/step] Training: 75%|███████▍ | 52230/70000 [18:30:02<6:11:32, 1.25s/step] Training: 75%|███████▍ | 52231/70000 [18:30:03<6:07:02, 1.24s/step] Training: 75%|███████▍ | 52232/70000 [18:30:04<6:05:41, 1.23s/step] Training: 75%|███████▍ | 52233/70000 [18:30:06<6:12:24, 1.26s/step] Training: 75%|███████▍ | 52234/70000 [18:30:07<6:06:14, 1.24s/step] Training: 75%|███████▍ | 52235/70000 [18:30:08<6:14:43, 1.27s/step] Training: 75%|███████▍ | 52236/70000 [18:30:09<6:08:26, 1.24s/step] Training: 75%|███████▍ | 52237/70000 [18:30:11<6:04:26, 1.23s/step] Training: 75%|███████▍ | 52238/70000 [18:30:12<6:15:01, 1.27s/step] Training: 75%|███████▍ | 52239/70000 [18:30:13<6:20:17, 1.28s/step] Training: 75%|███████▍ | 52240/70000 [18:30:15<6:23:20, 1.30s/step] Training: 75%|███████▍ | 52241/70000 [18:30:16<6:13:55, 1.26s/step] Training: 75%|███████▍ | 52242/70000 [18:30:17<6:07:26, 1.24s/step] Training: 75%|███████▍ | 52243/70000 [18:30:18<6:16:52, 1.27s/step] Training: 75%|███████▍ | 52244/70000 [18:30:20<6:09:35, 1.25s/step] Training: 75%|███████▍ | 52245/70000 [18:30:21<6:04:40, 1.23s/step] Training: 75%|███████▍ | 52246/70000 [18:30:22<6:04:52, 1.23s/step] Training: 75%|███████▍ | 52247/70000 [18:30:23<6:19:36, 1.28s/step] Training: 75%|███████▍ | 52248/70000 [18:30:25<6:25:35, 1.30s/step] Training: 75%|███████▍ | 52249/70000 [18:30:26<6:15:22, 1.27s/step] Training: 75%|███████▍ | 52250/70000 [18:30:27<6:08:14, 1.24s/step] Training: 75%|███████▍ | 52251/70000 [18:30:28<6:19:27, 1.28s/step] Training: 75%|███████▍ | 52252/70000 [18:30:30<6:11:04, 1.25s/step] Training: 75%|███████▍ | 52253/70000 [18:30:31<6:05:18, 1.24s/step] Training: 75%|███████▍ | 52254/70000 [18:30:32<6:03:25, 1.23s/step] Training: 75%|███████▍ | 52255/70000 [18:30:33<6:05:35, 1.24s/step] Training: 75%|███████▍ | 52256/70000 [18:30:35<6:14:17, 1.27s/step] Training: 75%|███████▍ | 52257/70000 [18:30:36<6:07:25, 1.24s/step] Training: 75%|███████▍ | 52258/70000 [18:30:37<6:02:37, 1.23s/step] Training: 75%|███████▍ | 52259/70000 [18:30:38<6:04:21, 1.23s/step] Training: 75%|███████▍ | 52260/70000 [18:30:39<6:01:22, 1.22s/step] Training: 75%|███████▍ | 52261/70000 [18:30:41<5:58:40, 1.21s/step] Training: 75%|███████▍ | 52262/70000 [18:30:42<6:08:34, 1.25s/step] Training: 75%|███████▍ | 52263/70000 [18:30:43<6:07:16, 1.24s/step] Training: 75%|███████▍ | 52264/70000 [18:30:44<6:04:56, 1.23s/step] Training: 75%|███████▍ | 52265/70000 [18:30:46<6:12:12, 1.26s/step] Training: 75%|███████▍ | 52266/70000 [18:30:47<6:06:28, 1.24s/step] Training: 75%|███████▍ | 52267/70000 [18:30:48<6:13:58, 1.27s/step] Training: 75%|███████▍ | 52268/70000 [18:30:49<6:07:24, 1.24s/step] Training: 75%|███████▍ | 52269/70000 [18:30:51<6:03:05, 1.23s/step] Training: 75%|███████▍ | 52270/70000 [18:30:52<6:11:32, 1.26s/step] Training: 75%|███████▍ | 52271/70000 [18:30:53<6:17:08, 1.28s/step] Training: 75%|███████▍ | 52272/70000 [18:30:55<6:31:19, 1.32s/step] Training: 75%|███████▍ | 52273/70000 [18:30:56<6:19:32, 1.28s/step] Training: 75%|███████▍ | 52274/70000 [18:30:57<6:11:12, 1.26s/step] Training: 75%|███████▍ | 52275/70000 [18:30:58<6:17:59, 1.28s/step] Training: 75%|███████▍ | 52276/70000 [18:31:00<6:10:17, 1.25s/step] Training: 75%|███████▍ | 52277/70000 [18:31:01<6:04:40, 1.23s/step] Training: 75%|███████▍ | 52278/70000 [18:31:02<6:01:38, 1.22s/step] Training: 75%|███████▍ | 52279/70000 [18:31:03<6:10:37, 1.25s/step] Training: 75%|███████▍ | 52280/70000 [18:31:05<6:24:34, 1.30s/step] Training: 75%|███████▍ | 52281/70000 [18:31:06<6:14:37, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=21500 Training: 75%|███████▍ | 52282/70000 [18:31:07<6:07:15, 1.24s/step] Training: 75%|███████▍ | 52283/70000 [18:31:09<6:20:09, 1.29s/step] Training: 75%|███████▍ | 52284/70000 [18:31:10<6:11:11, 1.26s/step] Training: 75%|███████▍ | 52285/70000 [18:31:11<6:05:13, 1.24s/step] Training: 75%|███████▍ | 52286/70000 [18:31:12<6:04:30, 1.23s/step] Training: 75%|███████▍ | 52287/70000 [18:31:13<6:03:31, 1.23s/step] Training: 75%|███████▍ | 52288/70000 [18:31:15<6:13:54, 1.27s/step] Training: 75%|███████▍ | 52289/70000 [18:31:16<6:06:08, 1.24s/step] Training: 75%|███████▍ | 52290/70000 [18:31:17<6:01:37, 1.23s/step] Training: 75%|███████▍ | 52291/70000 [18:31:18<6:03:30, 1.23s/step] Training: 75%|███████▍ | 52292/70000 [18:31:19<5:59:58, 1.22s/step] Training: 75%|███████▍ | 52293/70000 [18:31:21<5:58:02, 1.21s/step] Training: 75%|███████▍ | 52294/70000 [18:31:22<5:56:00, 1.21s/step] Training: 75%|███████▍ | 52295/70000 [18:31:23<6:06:12, 1.24s/step] Training: 75%|███████▍ | 52296/70000 [18:31:25<6:20:53, 1.29s/step] Training: 75%|███████▍ | 52297/70000 [18:31:26<6:11:23, 1.26s/step] Training: 75%|███████▍ | 52298/70000 [18:31:27<6:06:05, 1.24s/step] Training: 75%|███████▍ | 52299/70000 [18:31:28<6:13:54, 1.27s/step] Training: 75%|███████▍ | 52300/70000 [18:31:30<6:07:58, 1.25s/step]INFO 2026-03-13 14:41:22 ot_train.py:435 step:52K smpl:3M ep:11K epch:44.33 loss:0.008 grdn:0.621 lr:4.6e-06 updt_s:1.232 data_s:0.019 Training: 75%|███████▍ | 52301/70000 [18:31:31<6:02:29, 1.23s/step] Training: 75%|███████▍ | 52302/70000 [18:31:32<6:11:16, 1.26s/step] Training: 75%|███████▍ | 52303/70000 [18:31:33<6:17:52, 1.28s/step] Training: 75%|███████▍ | 52304/70000 [18:31:35<6:21:39, 1.29s/step] Training: 75%|███████▍ | 52305/70000 [18:31:36<6:26:06, 1.31s/step] Training: 75%|███████▍ | 52306/70000 [18:31:37<6:14:38, 1.27s/step] Training: 75%|███████▍ | 52307/70000 [18:31:39<6:20:19, 1.29s/step] Training: 75%|███████▍ | 52308/70000 [18:31:40<6:12:15, 1.26s/step] Training: 75%|███████▍ | 52309/70000 [18:31:41<6:05:39, 1.24s/step] Training: 75%|███████▍ | 52310/70000 [18:31:42<6:02:58, 1.23s/step] Training: 75%|███████▍ | 52311/70000 [18:31:43<6:11:21, 1.26s/step] Training: 75%|███████▍ | 52312/70000 [18:31:45<6:19:19, 1.29s/step] Training: 75%|███████▍ | 52313/70000 [18:31:46<6:24:43, 1.31s/step] Training: 75%|███████▍ | 52314/70000 [18:31:47<6:13:36, 1.27s/step] Training: 75%|███████▍ | 52315/70000 [18:31:49<6:23:04, 1.30s/step] Training: 75%|███████▍ | 52316/70000 [18:31:50<6:13:08, 1.27s/step] Training: 75%|███████▍ | 52317/70000 [18:31:51<6:06:18, 1.24s/step] Training: 75%|███████▍ | 52318/70000 [18:31:52<6:04:36, 1.24s/step] Training: 75%|███████▍ | 52319/70000 [18:31:54<6:03:14, 1.23s/step] Training: 75%|███████▍ | 52320/70000 [18:31:55<6:11:06, 1.26s/step] Training: 75%|███████▍ | 52321/70000 [18:31:56<6:08:07, 1.25s/step] Training: 75%|███████▍ | 52322/70000 [18:31:57<6:02:42, 1.23s/step] Training: 75%|███████▍ | 52323/70000 [18:31:59<6:12:15, 1.26s/step] Training: 75%|███████▍ | 52324/70000 [18:32:00<6:05:48, 1.24s/step] Training: 75%|███████▍ | 52325/70000 [18:32:01<6:00:57, 1.23s/step] Training: 75%|███████▍ | 52326/70000 [18:32:02<5:57:31, 1.21s/step] Training: 75%|███████▍ | 52327/70000 [18:32:04<6:06:50, 1.25s/step] Training: 75%|███████▍ | 52328/70000 [18:32:05<6:06:40, 1.24s/step] Training: 75%|███████▍ | 52329/70000 [18:32:06<6:15:13, 1.27s/step] Training: 75%|███████▍ | 52330/70000 [18:32:07<6:06:42, 1.25s/step] Training: 75%|███████▍ | 52331/70000 [18:32:09<6:18:08, 1.28s/step] Training: 75%|███████▍ | 52332/70000 [18:32:10<6:09:50, 1.26s/step] Training: 75%|███████▍ | 52333/70000 [18:32:11<6:03:33, 1.23s/step] Training: 75%|███████▍ | 52334/70000 [18:32:12<6:11:48, 1.26s/step] Training: 75%|███████▍ | 52335/70000 [18:32:14<6:17:51, 1.28s/step] Training: 75%|███████▍ | 52336/70000 [18:32:15<6:21:20, 1.30s/step] Training: 75%|███████▍ | 52337/70000 [18:32:16<6:11:50, 1.26s/step] Training: 75%|███████▍ | 52338/70000 [18:32:18<6:18:06, 1.28s/step] Training: 75%|███████▍ | 52339/70000 [18:32:19<6:21:36, 1.30s/step] Training: 75%|███████▍ | 52340/70000 [18:32:20<6:12:44, 1.27s/step] Training: 75%|███████▍ | 52341/70000 [18:32:21<6:05:39, 1.24s/step] Training: 75%|███████▍ | 52342/70000 [18:32:22<6:01:42, 1.23s/step] Training: 75%|███████▍ | 52343/70000 [18:32:24<6:10:38, 1.26s/step] Training: 75%|███████▍ | 52344/70000 [18:32:25<6:17:40, 1.28s/step] Training: 75%|███████▍ | 52345/70000 [18:32:26<6:09:39, 1.26s/step] Training: 75%|███████▍ | 52346/70000 [18:32:28<6:09:35, 1.26s/step] Training: 75%|███████▍ | 52347/70000 [18:32:29<6:19:59, 1.29s/step] Training: 75%|███████▍ | 52348/70000 [18:32:30<6:10:58, 1.26s/step] Training: 75%|███████▍ | 52349/70000 [18:32:31<6:04:42, 1.24s/step] Training: 75%|███████▍ | 52350/70000 [18:32:33<6:03:29, 1.24s/step] Training: 75%|███████▍ | 52351/70000 [18:32:34<6:02:41, 1.23s/step] Training: 75%|███████▍ | 52352/70000 [18:32:35<6:10:39, 1.26s/step] Training: 75%|███████▍ | 52353/70000 [18:32:36<6:04:53, 1.24s/step] Training: 75%|███████▍ | 52354/70000 [18:32:37<6:00:25, 1.23s/step] Training: 75%|███████▍ | 52355/70000 [18:32:39<6:10:22, 1.26s/step] Training: 75%|███████▍ | 52356/70000 [18:32:40<6:16:02, 1.28s/step] Training: 75%|███████▍ | 52357/70000 [18:32:41<6:08:13, 1.25s/step] Training: 75%|███████▍ | 52358/70000 [18:32:43<6:02:33, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=57702 Training: 75%|███████▍ | 52359/70000 [18:32:44<6:09:27, 1.26s/step] Training: 75%|███████▍ | 52360/70000 [18:32:45<6:07:49, 1.25s/step] Training: 75%|███████▍ | 52361/70000 [18:32:46<6:12:40, 1.27s/step] Training: 75%|███████▍ | 52362/70000 [18:32:48<6:20:28, 1.29s/step] Training: 75%|███████▍ | 52363/70000 [18:32:49<6:27:00, 1.32s/step] Training: 75%|███████▍ | 52364/70000 [18:32:50<6:27:35, 1.32s/step] Training: 75%|███████▍ | 52365/70000 [18:32:52<6:16:03, 1.28s/step] Training: 75%|███████▍ | 52366/70000 [18:32:53<6:08:28, 1.25s/step] Training: 75%|███████▍ | 52367/70000 [18:32:54<6:15:33, 1.28s/step] Training: 75%|███████▍ | 52368/70000 [18:32:55<6:21:05, 1.30s/step] Training: 75%|███████▍ | 52369/70000 [18:32:57<6:11:40, 1.26s/step] Training: 75%|███████▍ | 52370/70000 [18:32:58<6:05:07, 1.24s/step] Training: 75%|███████▍ | 52371/70000 [18:32:59<6:23:36, 1.31s/step] Training: 75%|███████▍ | 52372/70000 [18:33:00<6:13:12, 1.27s/step] Training: 75%|███████▍ | 52373/70000 [18:33:02<6:05:46, 1.25s/step] Training: 75%|███████▍ | 52374/70000 [18:33:03<6:03:46, 1.24s/step] Training: 75%|███████▍ | 52375/70000 [18:33:04<6:11:54, 1.27s/step] Training: 75%|███████▍ | 52376/70000 [18:33:06<6:19:37, 1.29s/step] Training: 75%|███████▍ | 52377/70000 [18:33:07<6:10:44, 1.26s/step] Training: 75%|███████▍ | 52378/70000 [18:33:08<6:04:31, 1.24s/step] Training: 75%|███████▍ | 52379/70000 [18:33:09<6:20:05, 1.29s/step] Training: 75%|███████▍ | 52380/70000 [18:33:11<6:13:32, 1.27s/step] Training: 75%|███████▍ | 52381/70000 [18:33:12<6:06:27, 1.25s/step] Training: 75%|███████▍ | 52382/70000 [18:33:13<6:03:09, 1.24s/step] Training: 75%|███████▍ | 52383/70000 [18:33:14<6:02:08, 1.23s/step] Training: 75%|███████▍ | 52384/70000 [18:33:16<6:11:00, 1.26s/step] Training: 75%|███████▍ | 52385/70000 [18:33:17<6:04:48, 1.24s/step] Training: 75%|███████▍ | 52386/70000 [18:33:18<6:00:17, 1.23s/step] Training: 75%|███████▍ | 52387/70000 [18:33:19<6:09:02, 1.26s/step] Training: 75%|███████▍ | 52388/70000 [18:33:21<6:06:32, 1.25s/step] Training: 75%|███████▍ | 52389/70000 [18:33:22<6:01:43, 1.23s/step] Training: 75%|███████▍ | 52390/70000 [18:33:23<6:10:13, 1.26s/step] Training: 75%|███████▍ | 52391/70000 [18:33:24<6:06:51, 1.25s/step] Training: 75%|███████▍ | 52392/70000 [18:33:25<6:05:50, 1.25s/step] Training: 75%|███████▍ | 52393/70000 [18:33:27<6:12:05, 1.27s/step] Training: 75%|███████▍ | 52394/70000 [18:33:28<6:05:05, 1.24s/step] Training: 75%|███████▍ | 52395/70000 [18:33:29<6:06:06, 1.25s/step] Training: 75%|███████▍ | 52396/70000 [18:33:31<6:12:03, 1.27s/step] Training: 75%|███████▍ | 52397/70000 [18:33:32<6:17:56, 1.29s/step] Training: 75%|███████▍ | 52398/70000 [18:33:33<6:21:19, 1.30s/step] Training: 75%|███████▍ | 52399/70000 [18:33:34<6:11:33, 1.27s/step] Training: 75%|███████▍ | 52400/70000 [18:33:36<6:18:13, 1.29s/step]INFO 2026-03-13 14:43:28 ot_train.py:435 step:52K smpl:3M ep:11K epch:44.41 loss:0.008 grdn:0.929 lr:4.6e-06 updt_s:1.241 data_s:0.019 Training: 75%|███████▍ | 52401/70000 [18:33:37<6:20:53, 1.30s/step] Training: 75%|███████▍ | 52402/70000 [18:33:38<6:11:21, 1.27s/step] Training: 75%|███████▍ | 52403/70000 [18:33:40<6:16:58, 1.29s/step] Training: 75%|███████▍ | 52404/70000 [18:33:41<6:08:41, 1.26s/step] Training: 75%|███████▍ | 52405/70000 [18:33:42<6:06:58, 1.25s/step] Training: 75%|███████▍ | 52406/70000 [18:33:43<6:05:28, 1.25s/step] Training: 75%|███████▍ | 52407/70000 [18:33:44<6:00:28, 1.23s/step] Training: 75%|███████▍ | 52408/70000 [18:33:46<6:15:06, 1.28s/step] Training: 75%|███████▍ | 52409/70000 [18:33:47<6:15:23, 1.28s/step] Training: 75%|███████▍ | 52410/70000 [18:33:48<6:07:23, 1.25s/step] Training: 75%|███████▍ | 52411/70000 [18:33:50<6:15:50, 1.28s/step] Training: 75%|███████▍ | 52412/70000 [18:33:51<6:20:55, 1.30s/step] Training: 75%|███████▍ | 52413/70000 [18:33:52<6:11:38, 1.27s/step] Training: 75%|███████▍ | 52414/70000 [18:33:53<6:06:14, 1.25s/step] Training: 75%|███████▍ | 52415/70000 [18:33:55<6:01:04, 1.23s/step] Training: 75%|███████▍ | 52416/70000 [18:33:56<6:09:00, 1.26s/step] Training: 75%|███████▍ | 52417/70000 [18:33:57<6:02:45, 1.24s/step] Training: 75%|███████▍ | 52418/70000 [18:33:58<5:58:53, 1.22s/step] Training: 75%|███████▍ | 52419/70000 [18:34:00<6:07:36, 1.25s/step] Training: 75%|███████▍ | 52420/70000 [18:34:01<6:08:46, 1.26s/step] Training: 75%|███████▍ | 52421/70000 [18:34:02<6:14:26, 1.28s/step] Training: 75%|███████▍ | 52422/70000 [18:34:04<6:19:57, 1.30s/step] Training: 75%|███████▍ | 52423/70000 [18:34:05<6:10:25, 1.26s/step] Training: 75%|███████▍ | 52424/70000 [18:34:06<6:19:36, 1.30s/step] Training: 75%|███████▍ | 52425/70000 [18:34:07<6:10:25, 1.26s/step] Training: 75%|███████▍ | 52426/70000 [18:34:09<6:04:10, 1.24s/step] Training: 75%|███████▍ | 52427/70000 [18:34:10<6:03:06, 1.24s/step] Training: 75%|███████▍ | 52428/70000 [18:34:11<6:27:03, 1.32s/step] Training: 75%|███████▍ | 52429/70000 [18:34:13<6:37:58, 1.36s/step] Training: 75%|███████▍ | 52430/70000 [18:34:14<6:35:28, 1.35s/step] Training: 75%|███████▍ | 52431/70000 [18:34:15<6:21:06, 1.30s/step] Training: 75%|███████▍ | 52432/70000 [18:34:17<6:22:58, 1.31s/step] Training: 75%|███████▍ | 52433/70000 [18:34:18<6:14:22, 1.28s/step] Training: 75%|███████▍ | 52434/70000 [18:34:19<6:06:33, 1.25s/step] Training: 75%|███████▍ | 52435/70000 [18:34:20<6:14:50, 1.28s/step] Training: 75%|███████▍ | 52436/70000 [18:34:22<6:22:15, 1.31s/step] Training: 75%|███████▍ | 52437/70000 [18:34:23<6:14:58, 1.28s/step] Training: 75%|███████▍ | 52438/70000 [18:34:24<6:10:29, 1.27s/step] Training: 75%|███████▍ | 52439/70000 [18:34:25<6:03:45, 1.24s/step] Training: 75%|███████▍ | 52440/70000 [18:34:27<6:11:15, 1.27s/step] Training: 75%|███████▍ | 52441/70000 [18:34:28<6:07:07, 1.25s/step] Training: 75%|███████▍ | 52442/70000 [18:34:29<6:01:35, 1.24s/step] Training: 75%|███████▍ | 52443/70000 [18:34:30<6:12:48, 1.27s/step] Training: 75%|███████▍ | 52444/70000 [18:34:32<6:05:37, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=71750 Training: 75%|███████▍ | 52445/70000 [18:34:33<6:13:27, 1.28s/step] Training: 75%|███████▍ | 52446/70000 [18:34:34<6:06:53, 1.25s/step] Training: 75%|███████▍ | 52447/70000 [18:34:35<6:01:29, 1.24s/step] Training: 75%|███████▍ | 52448/70000 [18:34:37<6:09:30, 1.26s/step] Training: 75%|███████▍ | 52449/70000 [18:34:38<6:03:12, 1.24s/step] Training: 75%|███████▍ | 52450/70000 [18:34:39<6:09:11, 1.26s/step] Training: 75%|███████▍ | 52451/70000 [18:34:41<6:16:27, 1.29s/step] Training: 75%|███████▍ | 52452/70000 [18:34:42<6:07:54, 1.26s/step] Training: 75%|███████▍ | 52453/70000 [18:34:43<6:21:47, 1.31s/step] Training: 75%|███████▍ | 52454/70000 [18:34:44<6:25:33, 1.32s/step] Training: 75%|███████▍ | 52455/70000 [18:34:46<6:14:15, 1.28s/step] Training: 75%|███████▍ | 52456/70000 [18:34:47<6:23:17, 1.31s/step] Training: 75%|███████▍ | 52457/70000 [18:34:48<6:13:27, 1.28s/step] Training: 75%|███████▍ | 52458/70000 [18:34:49<6:05:19, 1.25s/step] Training: 75%|███████▍ | 52459/70000 [18:34:51<6:04:41, 1.25s/step] Training: 75%|███████▍ | 52460/70000 [18:34:52<6:11:36, 1.27s/step] Training: 75%|███████▍ | 52461/70000 [18:34:53<6:17:16, 1.29s/step] Training: 75%|███████▍ | 52462/70000 [18:34:55<6:22:12, 1.31s/step] Training: 75%|███████▍ | 52463/70000 [18:34:56<6:12:16, 1.27s/step] Training: 75%|███████▍ | 52464/70000 [18:34:57<6:16:14, 1.29s/step] Training: 75%|███████▍ | 52465/70000 [18:34:58<6:10:47, 1.27s/step] Training: 75%|███████▍ | 52466/70000 [18:35:00<6:03:40, 1.24s/step] Training: 75%|███████▍ | 52467/70000 [18:35:01<6:02:09, 1.24s/step] Training: 75%|███████▍ | 52468/70000 [18:35:02<5:57:40, 1.22s/step] Training: 75%|███████▍ | 52469/70000 [18:35:03<5:59:58, 1.23s/step] Training: 75%|███████▍ | 52470/70000 [18:35:05<6:00:17, 1.23s/step] Training: 75%|███████▍ | 52471/70000 [18:35:06<5:57:01, 1.22s/step] Training: 75%|███████▍ | 52472/70000 [18:35:07<6:06:23, 1.25s/step] Training: 75%|███████▍ | 52473/70000 [18:35:08<6:01:36, 1.24s/step] Training: 75%|███████▍ | 52474/70000 [18:35:09<5:57:33, 1.22s/step] Training: 75%|███████▍ | 52475/70000 [18:35:11<6:10:14, 1.27s/step] Training: 75%|███████▍ | 52476/70000 [18:35:12<6:04:40, 1.25s/step] Training: 75%|███████▍ | 52477/70000 [18:35:13<6:03:50, 1.25s/step] Training: 75%|███████▍ | 52478/70000 [18:35:14<6:00:35, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=22200 Training: 75%|███████▍ | 52479/70000 [18:35:16<5:57:14, 1.22s/step] Training: 75%|███████▍ | 52480/70000 [18:35:17<6:06:24, 1.25s/step] Training: 75%|███████▍ | 52481/70000 [18:35:18<6:12:55, 1.28s/step] Training: 75%|███████▍ | 52482/70000 [18:35:19<6:05:36, 1.25s/step] Training: 75%|███████▍ | 52483/70000 [18:35:21<6:12:58, 1.28s/step] Training: 75%|███████▍ | 52484/70000 [18:35:22<6:05:42, 1.25s/step] Training: 75%|███████▍ | 52485/70000 [18:35:23<6:12:42, 1.28s/step] Training: 75%|███████▍ | 52486/70000 [18:35:25<6:29:10, 1.33s/step] Training: 75%|███████▍ | 52487/70000 [18:35:26<6:16:51, 1.29s/step] Training: 75%|███████▍ | 52488/70000 [18:35:27<6:23:24, 1.31s/step] Training: 75%|███████▍ | 52489/70000 [18:35:29<6:23:57, 1.32s/step] Training: 75%|███████▍ | 52490/70000 [18:35:30<6:13:05, 1.28s/step] Training: 75%|███████▍ | 52491/70000 [18:35:31<6:20:08, 1.30s/step] Training: 75%|███████▍ | 52492/70000 [18:35:32<6:11:00, 1.27s/step] Training: 75%|███████▍ | 52493/70000 [18:35:34<6:15:30, 1.29s/step] Training: 75%|███████▍ | 52494/70000 [18:35:35<6:28:52, 1.33s/step] Training: 75%|███████▍ | 52495/70000 [18:35:36<6:16:31, 1.29s/step] Training: 75%|███████▍ | 52496/70000 [18:35:38<6:19:24, 1.30s/step] Training: 75%|███████▍ | 52497/70000 [18:35:39<6:12:52, 1.28s/step] Training: 75%|███████▍ | 52498/70000 [18:35:40<6:05:18, 1.25s/step] Training: 75%|███████▍ | 52499/70000 [18:35:41<6:12:43, 1.28s/step] Training: 75%|███████▌ | 52500/70000 [18:35:43<6:04:53, 1.25s/step]INFO 2026-03-13 14:45:35 ot_train.py:435 step:52K smpl:3M ep:11K epch:44.50 loss:0.008 grdn:0.747 lr:4.5e-06 updt_s:1.248 data_s:0.019 Training: 75%|███████▌ | 52501/70000 [18:35:44<6:02:46, 1.24s/step] Training: 75%|███████▌ | 52502/70000 [18:35:45<6:15:35, 1.29s/step] Training: 75%|███████▌ | 52503/70000 [18:35:46<6:05:58, 1.25s/step] Training: 75%|███████▌ | 52504/70000 [18:35:48<6:12:18, 1.28s/step] Training: 75%|███████▌ | 52505/70000 [18:35:49<6:06:29, 1.26s/step] Training: 75%|███████▌ | 52506/70000 [18:35:50<6:00:27, 1.24s/step] Training: 75%|███████▌ | 52507/70000 [18:35:52<6:11:50, 1.28s/step] Training: 75%|███████▌ | 52508/70000 [18:35:53<6:04:38, 1.25s/step] Training: 75%|███████▌ | 52509/70000 [18:35:54<6:01:05, 1.24s/step] Training: 75%|███████▌ | 52510/70000 [18:35:55<6:12:29, 1.28s/step] Training: 75%|███████▌ | 52511/70000 [18:35:57<6:03:48, 1.25s/step] Training: 75%|███████▌ | 52512/70000 [18:35:58<6:00:23, 1.24s/step] Training: 75%|███████▌ | 52513/70000 [18:35:59<6:15:27, 1.29s/step] Training: 75%|███████▌ | 52514/70000 [18:36:00<6:06:36, 1.26s/step] Training: 75%|███████▌ | 52515/70000 [18:36:02<6:12:25, 1.28s/step] Training: 75%|███████▌ | 52516/70000 [18:36:03<6:04:38, 1.25s/step] Training: 75%|███████▌ | 52517/70000 [18:36:04<6:11:08, 1.27s/step] Training: 75%|███████▌ | 52518/70000 [18:36:05<6:03:57, 1.25s/step] Training: 75%|███████▌ | 52519/70000 [18:36:07<6:12:10, 1.28s/step] Training: 75%|███████▌ | 52520/70000 [18:36:08<6:16:44, 1.29s/step] Training: 75%|███████▌ | 52521/70000 [18:36:09<6:29:27, 1.34s/step] Training: 75%|███████▌ | 52522/70000 [18:36:11<6:16:41, 1.29s/step] Training: 75%|███████▌ | 52523/70000 [18:36:12<6:23:39, 1.32s/step] Training: 75%|███████▌ | 52524/70000 [18:36:13<6:12:35, 1.28s/step] Training: 75%|███████▌ | 52525/70000 [18:36:15<6:19:48, 1.30s/step] Training: 75%|███████▌ | 52526/70000 [18:36:16<6:10:20, 1.27s/step] Training: 75%|███████▌ | 52527/70000 [18:36:17<6:16:04, 1.29s/step] Training: 75%|███████▌ | 52528/70000 [18:36:18<6:19:39, 1.30s/step] Training: 75%|███████▌ | 52529/70000 [18:36:20<6:12:42, 1.28s/step] Training: 75%|███████▌ | 52530/70000 [18:36:21<6:05:18, 1.25s/step] Training: 75%|███████▌ | 52531/70000 [18:36:22<6:11:50, 1.28s/step] Training: 75%|███████▌ | 52532/70000 [18:36:23<6:04:13, 1.25s/step] Training: 75%|███████▌ | 52533/70000 [18:36:25<6:02:12, 1.24s/step] Training: 75%|███████▌ | 52534/70000 [18:36:26<6:02:24, 1.24s/step] Training: 75%|███████▌ | 52535/70000 [18:36:27<6:00:54, 1.24s/step] Training: 75%|███████▌ | 52536/70000 [18:36:28<6:08:47, 1.27s/step] Training: 75%|███████▌ | 52537/70000 [18:36:30<6:14:33, 1.29s/step] Training: 75%|███████▌ | 52538/70000 [18:36:31<6:05:40, 1.26s/step] Training: 75%|███████▌ | 52539/70000 [18:36:32<6:15:57, 1.29s/step] Training: 75%|███████▌ | 52540/70000 [18:36:34<6:07:07, 1.26s/step] Training: 75%|███████▌ | 52541/70000 [18:36:35<6:02:40, 1.25s/step] Training: 75%|███████▌ | 52542/70000 [18:36:36<5:58:52, 1.23s/step] Training: 75%|███████▌ | 52543/70000 [18:36:37<6:01:20, 1.24s/step] Training: 75%|███████▌ | 52544/70000 [18:36:38<5:58:40, 1.23s/step] Training: 75%|███████▌ | 52545/70000 [18:36:40<6:07:27, 1.26s/step] Training: 75%|███████▌ | 52546/70000 [18:36:41<6:01:37, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=57702 Training: 75%|███████▌ | 52547/70000 [18:36:42<6:08:20, 1.27s/step] Training: 75%|███████▌ | 52548/70000 [18:36:43<6:01:34, 1.24s/step] Training: 75%|███████▌ | 52549/70000 [18:36:45<6:10:43, 1.27s/step] Training: 75%|███████▌ | 52550/70000 [18:36:46<6:16:28, 1.29s/step] Training: 75%|███████▌ | 52551/70000 [18:36:47<6:07:04, 1.26s/step] Training: 75%|███████▌ | 52552/70000 [18:36:49<6:22:41, 1.32s/step] Training: 75%|███████▌ | 52553/70000 [18:36:50<6:23:33, 1.32s/step] Training: 75%|███████▌ | 52554/70000 [18:36:51<6:12:12, 1.28s/step] Training: 75%|███████▌ | 52555/70000 [18:36:53<6:19:43, 1.31s/step] Training: 75%|███████▌ | 52556/70000 [18:36:54<6:09:40, 1.27s/step] Training: 75%|███████▌ | 52557/70000 [18:36:55<6:15:01, 1.29s/step] Training: 75%|███████▌ | 52558/70000 [18:36:56<6:18:23, 1.30s/step] Training: 75%|███████▌ | 52559/70000 [18:36:58<6:08:34, 1.27s/step] Training: 75%|███████▌ | 52560/70000 [18:36:59<6:19:04, 1.30s/step] Training: 75%|███████▌ | 52561/70000 [18:37:00<6:26:48, 1.33s/step] Training: 75%|███████▌ | 52562/70000 [18:37:02<6:14:25, 1.29s/step] Training: 75%|███████▌ | 52563/70000 [18:37:03<6:18:58, 1.30s/step] Training: 75%|███████▌ | 52564/70000 [18:37:04<6:09:04, 1.27s/step] Training: 75%|███████▌ | 52565/70000 [18:37:05<6:05:41, 1.26s/step] Training: 75%|███████▌ | 52566/70000 [18:37:07<6:02:48, 1.25s/step] Training: 75%|███████▌ | 52567/70000 [18:37:08<5:57:37, 1.23s/step] Training: 75%|███████▌ | 52568/70000 [18:37:09<6:05:27, 1.26s/step] Training: 75%|███████▌ | 52569/70000 [18:37:11<6:19:39, 1.31s/step] Training: 75%|███████▌ | 52570/70000 [18:37:12<6:09:18, 1.27s/step] Training: 75%|███████▌ | 52571/70000 [18:37:13<6:18:23, 1.30s/step] Training: 75%|███████▌ | 52572/70000 [18:37:14<6:08:26, 1.27s/step] Training: 75%|███████▌ | 52573/70000 [18:37:16<6:05:10, 1.26s/step] Training: 75%|███████▌ | 52574/70000 [18:37:17<6:01:17, 1.24s/step] Training: 75%|███████▌ | 52575/70000 [18:37:18<5:56:25, 1.23s/step] Training: 75%|███████▌ | 52576/70000 [18:37:19<6:07:36, 1.27s/step] Training: 75%|███████▌ | 52577/70000 [18:37:21<6:12:15, 1.28s/step] Training: 75%|███████▌ | 52578/70000 [18:37:22<6:04:08, 1.25s/step] Training: 75%|███████▌ | 52579/70000 [18:37:23<6:10:13, 1.28s/step] Training: 75%|███████▌ | 52580/70000 [18:37:24<6:02:40, 1.25s/step] Training: 75%|███████▌ | 52581/70000 [18:37:26<5:57:18, 1.23s/step] Training: 75%|███████▌ | 52582/70000 [18:37:27<6:13:09, 1.29s/step] Training: 75%|███████▌ | 52583/70000 [18:37:28<6:04:45, 1.26s/step] Training: 75%|███████▌ | 52584/70000 [18:37:29<6:11:39, 1.28s/step] Training: 75%|███████▌ | 52585/70000 [18:37:31<6:24:56, 1.33s/step] Training: 75%|███████▌ | 52586/70000 [18:37:32<6:13:06, 1.29s/step] Training: 75%|███████▌ | 52587/70000 [18:37:33<6:08:48, 1.27s/step] Training: 75%|███████▌ | 52588/70000 [18:37:35<6:12:31, 1.28s/step] Training: 75%|███████▌ | 52589/70000 [18:37:36<6:17:38, 1.30s/step] Training: 75%|███████▌ | 52590/70000 [18:37:37<6:20:18, 1.31s/step] Training: 75%|███████▌ | 52591/70000 [18:37:38<6:09:50, 1.27s/step] Training: 75%|███████▌ | 52592/70000 [18:37:40<6:14:21, 1.29s/step] Training: 75%|███████▌ | 52593/70000 [18:37:41<6:27:57, 1.34s/step] Training: 75%|███████▌ | 52594/70000 [18:37:42<6:15:11, 1.29s/step] Training: 75%|███████▌ | 52595/70000 [18:37:44<6:08:46, 1.27s/step] Training: 75%|███████▌ | 52596/70000 [18:37:45<6:01:38, 1.25s/step] Training: 75%|███████▌ | 52597/70000 [18:37:46<5:57:36, 1.23s/step] Training: 75%|███████▌ | 52598/70000 [18:37:47<5:55:29, 1.23s/step] Training: 75%|███████▌ | 52599/70000 [18:37:48<5:52:15, 1.21s/step] Training: 75%|███████▌ | 52600/70000 [18:37:50<6:02:18, 1.25s/step]INFO 2026-03-13 14:47:42 ot_train.py:435 step:53K smpl:3M ep:11K epch:44.58 loss:0.008 grdn:0.959 lr:4.5e-06 updt_s:1.250 data_s:0.019 Training: 75%|███████▌ | 52601/70000 [18:37:51<6:08:20, 1.27s/step] Training: 75%|███████▌ | 52602/70000 [18:37:52<6:01:14, 1.25s/step] Training: 75%|███████▌ | 52603/70000 [18:37:54<6:12:05, 1.28s/step] Training: 75%|███████▌ | 52604/70000 [18:37:55<6:04:39, 1.26s/step] Training: 75%|███████▌ | 52605/70000 [18:37:56<6:01:35, 1.25s/step] Training: 75%|███████▌ | 52606/70000 [18:37:57<6:07:51, 1.27s/step] Training: 75%|███████▌ | 52607/70000 [18:37:59<6:00:45, 1.24s/step] Training: 75%|███████▌ | 52608/70000 [18:38:00<5:56:43, 1.23s/step] Training: 75%|███████▌ | 52609/70000 [18:38:01<6:07:43, 1.27s/step] Training: 75%|███████▌ | 52610/70000 [18:38:02<6:00:49, 1.24s/step] Training: 75%|███████▌ | 52611/70000 [18:38:04<6:08:17, 1.27s/step] Training: 75%|███████▌ | 52612/70000 [18:38:05<6:00:58, 1.25s/step] Training: 75%|███████▌ | 52613/70000 [18:38:06<5:56:05, 1.23s/step] Training: 75%|███████▌ | 52614/70000 [18:38:07<6:03:52, 1.26s/step] Training: 75%|███████▌ | 52615/70000 [18:38:09<5:58:15, 1.24s/step] Training: 75%|███████▌ | 52616/70000 [18:38:10<6:06:30, 1.27s/step] Training: 75%|███████▌ | 52617/70000 [18:38:11<6:11:34, 1.28s/step] Training: 75%|███████▌ | 52618/70000 [18:38:12<6:03:23, 1.25s/step] Training: 75%|███████▌ | 52619/70000 [18:38:14<6:14:01, 1.29s/step] Training: 75%|███████▌ | 52620/70000 [18:38:15<6:05:17, 1.26s/step] Training: 75%|███████▌ | 52621/70000 [18:38:16<6:11:30, 1.28s/step] Training: 75%|███████▌ | 52622/70000 [18:38:18<6:15:52, 1.30s/step] Training: 75%|███████▌ | 52623/70000 [18:38:19<6:06:37, 1.27s/step] Training: 75%|███████▌ | 52624/70000 [18:38:20<6:11:23, 1.28s/step] Training: 75%|███████▌ | 52625/70000 [18:38:22<6:19:00, 1.31s/step] Training: 75%|███████▌ | 52626/70000 [18:38:23<6:22:53, 1.32s/step] Training: 75%|███████▌ | 52627/70000 [18:38:24<6:22:26, 1.32s/step] Training: 75%|███████▌ | 52628/70000 [18:38:25<6:11:23, 1.28s/step] Training: 75%|███████▌ | 52629/70000 [18:38:27<6:06:21, 1.27s/step] Training: 75%|███████▌ | 52630/70000 [18:38:28<6:11:11, 1.28s/step] Training: 75%|███████▌ | 52631/70000 [18:38:29<6:03:55, 1.26s/step] Training: 75%|███████▌ | 52632/70000 [18:38:30<6:09:39, 1.28s/step] Training: 75%|███████▌ | 52633/70000 [18:38:32<6:14:13, 1.29s/step] Training: 75%|███████▌ | 52634/70000 [18:38:33<6:11:06, 1.28s/step] Training: 75%|███████▌ | 52635/70000 [18:38:34<6:18:27, 1.31s/step] Training: 75%|███████▌ | 52636/70000 [18:38:36<6:08:03, 1.27s/step] Training: 75%|███████▌ | 52637/70000 [18:38:37<6:04:56, 1.26s/step] Training: 75%|███████▌ | 52638/70000 [18:38:38<6:11:32, 1.28s/step] Training: 75%|███████▌ | 52639/70000 [18:38:39<6:03:24, 1.26s/step] Training: 75%|███████▌ | 52640/70000 [18:38:41<5:59:33, 1.24s/step] Training: 75%|███████▌ | 52641/70000 [18:38:42<6:06:41, 1.27s/step] Training: 75%|███████▌ | 52642/70000 [18:38:43<5:59:49, 1.24s/step] Training: 75%|███████▌ | 52643/70000 [18:38:45<6:15:38, 1.30s/step] Training: 75%|███████▌ | 52644/70000 [18:38:46<6:05:54, 1.26s/step] Training: 75%|███████▌ | 52645/70000 [18:38:47<5:59:43, 1.24s/step] Training: 75%|███████▌ | 52646/70000 [18:38:48<6:06:07, 1.27s/step] Training: 75%|███████▌ | 52647/70000 [18:38:49<5:59:34, 1.24s/step] Training: 75%|███████▌ | 52648/70000 [18:38:51<6:06:49, 1.27s/step] Training: 75%|███████▌ | 52649/70000 [18:38:52<6:12:11, 1.29s/step] Training: 75%|███████▌ | 52650/70000 [18:38:53<6:18:17, 1.31s/step] Training: 75%|███████▌ | 52651/70000 [18:38:55<6:22:21, 1.32s/step] Training: 75%|███████▌ | 52652/70000 [18:38:56<6:11:37, 1.29s/step] Training: 75%|███████▌ | 52653/70000 [18:38:57<6:14:11, 1.29s/step] Training: 75%|███████▌ | 52654/70000 [18:38:59<6:17:20, 1.31s/step] Training: 75%|███████▌ | 52655/70000 [18:39:00<6:07:09, 1.27s/step] Training: 75%|███████▌ | 52656/70000 [18:39:01<6:11:53, 1.29s/step] Training: 75%|███████▌ | 52657/70000 [18:39:03<6:19:25, 1.31s/step] Training: 75%|███████▌ | 52658/70000 [18:39:04<6:08:40, 1.28s/step] Training: 75%|███████▌ | 52659/70000 [18:39:05<6:24:19, 1.33s/step] Training: 75%|███████▌ | 52660/70000 [18:39:06<6:12:32, 1.29s/step] Training: 75%|███████▌ | 52661/70000 [18:39:08<6:05:03, 1.26s/step] Training: 75%|███████▌ | 52662/70000 [18:39:09<6:10:32, 1.28s/step] Training: 75%|███████▌ | 52663/70000 [18:39:10<6:02:50, 1.26s/step] Training: 75%|███████▌ | 52664/70000 [18:39:11<6:08:27, 1.28s/step] Training: 75%|███████▌ | 52665/70000 [18:39:13<6:13:18, 1.29s/step] Training: 75%|███████▌ | 52666/70000 [18:39:14<6:04:14, 1.26s/step] Training: 75%|███████▌ | 52667/70000 [18:39:15<6:19:09, 1.31s/step] Training: 75%|███████▌ | 52668/70000 [18:39:17<6:08:26, 1.28s/step] Training: 75%|███████▌ | 52669/70000 [18:39:18<6:05:12, 1.26s/step] Training: 75%|███████▌ | 52670/70000 [18:39:19<6:10:15, 1.28s/step] Training: 75%|███████▌ | 52671/70000 [18:39:20<6:02:01, 1.25s/step] Training: 75%|███████▌ | 52672/70000 [18:39:21<5:58:44, 1.24s/step] Training: 75%|███████▌ | 52673/70000 [18:39:23<6:06:03, 1.27s/step] Training: 75%|███████▌ | 52674/70000 [18:39:24<5:59:59, 1.25s/step] Training: 75%|███████▌ | 52675/70000 [18:39:25<6:06:46, 1.27s/step] Training: 75%|███████▌ | 52676/70000 [18:39:27<5:59:58, 1.25s/step] Training: 75%|███████▌ | 52677/70000 [18:39:28<5:55:24, 1.23s/step] Training: 75%|███████▌ | 52678/70000 [18:39:29<6:03:18, 1.26s/step] Training: 75%|███████▌ | 52679/70000 [18:39:30<5:57:54, 1.24s/step] Training: 75%|███████▌ | 52680/70000 [18:39:32<6:05:33, 1.27s/step] Training: 75%|███████▌ | 52681/70000 [18:39:33<6:10:36, 1.28s/step] Training: 75%|███████▌ | 52682/70000 [18:39:34<6:02:45, 1.26s/step] Training: 75%|███████▌ | 52683/70000 [18:39:35<6:14:03, 1.30s/step] Training: 75%|███████▌ | 52684/70000 [18:39:37<6:04:54, 1.26s/step] Training: 75%|███████▌ | 52685/70000 [18:39:38<5:58:32, 1.24s/step] Training: 75%|███████▌ | 52686/70000 [18:39:39<6:05:58, 1.27s/step] Training: 75%|███████▌ | 52687/70000 [18:39:40<5:59:00, 1.24s/step] Training: 75%|███████▌ | 52688/70000 [18:39:42<6:05:48, 1.27s/step] Training: 75%|███████▌ | 52689/70000 [18:39:43<6:14:13, 1.30s/step] Training: 75%|███████▌ | 52690/70000 [18:39:44<6:05:23, 1.27s/step] Training: 75%|███████▌ | 52691/70000 [18:39:46<6:10:54, 1.29s/step] Training: 75%|███████▌ | 52692/70000 [18:39:47<6:02:27, 1.26s/step] Training: 75%|███████▌ | 52693/70000 [18:39:48<6:00:06, 1.25s/step] Training: 75%|███████▌ | 52694/70000 [18:39:49<6:06:36, 1.27s/step] Training: 75%|███████▌ | 52695/70000 [18:39:51<5:59:27, 1.25s/step] Training: 75%|███████▌ | 52696/70000 [18:39:52<6:06:33, 1.27s/step] Training: 75%|███████▌ | 52697/70000 [18:39:53<6:11:00, 1.29s/step] Training: 75%|███████▌ | 52698/70000 [18:39:54<6:03:15, 1.26s/step] Training: 75%|███████▌ | 52699/70000 [18:39:56<6:15:42, 1.30s/step] Training: 75%|███████▌ | 52700/70000 [18:39:57<6:18:43, 1.31s/step]INFO 2026-03-13 14:49:49 ot_train.py:435 step:53K smpl:3M ep:11K epch:44.67 loss:0.008 grdn:0.630 lr:4.5e-06 updt_s:1.253 data_s:0.019 Training: 75%|███████▌ | 52701/70000 [18:39:58<6:09:12, 1.28s/step] Training: 75%|███████▌ | 52702/70000 [18:40:00<6:13:24, 1.30s/step] Training: 75%|███████▌ | 52703/70000 [18:40:01<6:04:16, 1.26s/step] Training: 75%|███████▌ | 52704/70000 [18:40:02<5:59:27, 1.25s/step] Training: 75%|███████▌ | 52705/70000 [18:40:03<6:06:47, 1.27s/step] Training: 75%|███████▌ | 52706/70000 [18:40:05<5:59:35, 1.25s/step] Training: 75%|███████▌ | 52707/70000 [18:40:06<6:07:13, 1.27s/step] Training: 75%|███████▌ | 52708/70000 [18:40:07<6:08:38, 1.28s/step] Training: 75%|███████▌ | 52709/70000 [18:40:09<6:12:52, 1.29s/step] Training: 75%|███████▌ | 52710/70000 [18:40:10<6:05:40, 1.27s/step] Training: 75%|███████▌ | 52711/70000 [18:40:11<6:01:00, 1.25s/step] Training: 75%|███████▌ | 52712/70000 [18:40:12<6:10:20, 1.29s/step] Training: 75%|███████▌ | 52713/70000 [18:40:14<6:14:06, 1.30s/step] Training: 75%|███████▌ | 52714/70000 [18:40:15<6:05:11, 1.27s/step] Training: 75%|███████▌ | 52715/70000 [18:40:16<6:13:54, 1.30s/step] Training: 75%|███████▌ | 52716/70000 [18:40:18<6:18:55, 1.32s/step] Training: 75%|███████▌ | 52717/70000 [18:40:19<6:20:05, 1.32s/step] Training: 75%|███████▌ | 52718/70000 [18:40:20<6:21:35, 1.32s/step] Training: 75%|███████▌ | 52719/70000 [18:40:21<6:09:50, 1.28s/step] Training: 75%|███████▌ | 52720/70000 [18:40:23<6:13:28, 1.30s/step] Training: 75%|███████▌ | 52721/70000 [18:40:24<6:19:28, 1.32s/step] Training: 75%|███████▌ | 52722/70000 [18:40:25<6:08:26, 1.28s/step] Training: 75%|███████▌ | 52723/70000 [18:40:27<6:13:20, 1.30s/step] Training: 75%|███████▌ | 52724/70000 [18:40:28<6:18:25, 1.31s/step] Training: 75%|███████▌ | 52725/70000 [18:40:29<6:11:12, 1.29s/step] Training: 75%|███████▌ | 52726/70000 [18:40:31<6:14:33, 1.30s/step] Training: 75%|███████▌ | 52727/70000 [18:40:32<6:05:00, 1.27s/step] Training: 75%|███████▌ | 52728/70000 [18:40:33<6:09:22, 1.28s/step] Training: 75%|███████▌ | 52729/70000 [18:40:34<6:13:22, 1.30s/step] Training: 75%|███████▌ | 52730/70000 [18:40:36<6:04:20, 1.27s/step] Training: 75%|███████▌ | 52731/70000 [18:40:37<6:14:12, 1.30s/step] Training: 75%|███████▌ | 52732/70000 [18:40:38<6:04:40, 1.27s/step] Training: 75%|███████▌ | 52733/70000 [18:40:39<6:11:11, 1.29s/step] Training: 75%|███████▌ | 52734/70000 [18:40:41<6:14:42, 1.30s/step] Training: 75%|███████▌ | 52735/70000 [18:40:42<6:04:58, 1.27s/step] Training: 75%|███████▌ | 52736/70000 [18:40:43<6:00:38, 1.25s/step] Training: 75%|███████▌ | 52737/70000 [18:40:45<6:06:27, 1.27s/step] Training: 75%|███████▌ | 52738/70000 [18:40:46<5:59:56, 1.25s/step] Training: 75%|███████▌ | 52739/70000 [18:40:47<6:08:07, 1.28s/step] Training: 75%|███████▌ | 52740/70000 [18:40:48<6:00:23, 1.25s/step] Training: 75%|███████▌ | 52741/70000 [18:40:50<6:19:07, 1.32s/step] Training: 75%|███████▌ | 52742/70000 [18:40:51<6:09:46, 1.29s/step] Training: 75%|███████▌ | 52743/70000 [18:40:52<6:01:33, 1.26s/step] Training: 75%|███████▌ | 52744/70000 [18:40:53<6:08:14, 1.28s/step] Training: 75%|███████▌ | 52745/70000 [18:40:55<6:12:44, 1.30s/step] Training: 75%|███████▌ | 52746/70000 [18:40:56<6:03:22, 1.26s/step] Training: 75%|███████▌ | 52747/70000 [18:40:57<6:01:01, 1.26s/step] Training: 75%|███████▌ | 52748/70000 [18:40:59<6:06:54, 1.28s/step] Training: 75%|███████▌ | 52749/70000 [18:41:00<6:02:02, 1.26s/step] Training: 75%|███████▌ | 52750/70000 [18:41:01<6:17:39, 1.31s/step] Training: 75%|███████▌ | 52751/70000 [18:41:02<6:06:42, 1.28s/step] Training: 75%|███████▌ | 52752/70000 [18:41:04<6:11:19, 1.29s/step] Training: 75%|███████▌ | 52753/70000 [18:41:05<6:19:47, 1.32s/step] Training: 75%|███████▌ | 52754/70000 [18:41:06<6:08:11, 1.28s/step] Training: 75%|███████▌ | 52755/70000 [18:41:08<6:12:15, 1.30s/step] Training: 75%|███████▌ | 52756/70000 [18:41:09<6:03:08, 1.26s/step] Training: 75%|███████▌ | 52757/70000 [18:41:10<6:03:31, 1.26s/step] Training: 75%|███████▌ | 52758/70000 [18:41:12<6:16:35, 1.31s/step] Training: 75%|███████▌ | 52759/70000 [18:41:13<6:06:17, 1.27s/step] Training: 75%|███████▌ | 52760/70000 [18:41:14<6:10:10, 1.29s/step] Training: 75%|███████▌ | 52761/70000 [18:41:15<6:13:21, 1.30s/step] Training: 75%|███████▌ | 52762/70000 [18:41:17<6:03:35, 1.27s/step] Training: 75%|███████▌ | 52763/70000 [18:41:18<6:10:45, 1.29s/step] Training: 75%|███████▌ | 52764/70000 [18:41:19<6:01:39, 1.26s/step] Training: 75%|███████▌ | 52765/70000 [18:41:20<5:55:32, 1.24s/step] Training: 75%|███████▌ | 52766/70000 [18:41:22<6:14:04, 1.30s/step] Training: 75%|███████▌ | 52767/70000 [18:41:23<6:04:29, 1.27s/step] Training: 75%|███████▌ | 52768/70000 [18:41:24<5:59:15, 1.25s/step] Training: 75%|███████▌ | 52769/70000 [18:41:25<6:06:10, 1.28s/step] Training: 75%|███████▌ | 52770/70000 [18:41:27<5:58:50, 1.25s/step] Training: 75%|███████▌ | 52771/70000 [18:41:28<6:06:28, 1.28s/step] Training: 75%|███████▌ | 52772/70000 [18:41:29<5:58:46, 1.25s/step] Training: 75%|███████▌ | 52773/70000 [18:41:30<5:54:09, 1.23s/step] Training: 75%|███████▌ | 52774/70000 [18:41:32<5:56:53, 1.24s/step] Training: 75%|███████▌ | 52775/70000 [18:41:33<5:52:15, 1.23s/step] Training: 75%|███████▌ | 52776/70000 [18:41:34<6:00:11, 1.25s/step] Training: 75%|███████▌ | 52777/70000 [18:41:35<6:06:49, 1.28s/step] Training: 75%|███████▌ | 52778/70000 [18:41:37<5:58:54, 1.25s/step] Training: 75%|███████▌ | 52779/70000 [18:41:38<5:59:05, 1.25s/step] Training: 75%|███████▌ | 52780/70000 [18:41:39<5:53:46, 1.23s/step] Training: 75%|███████▌ | 52781/70000 [18:41:40<5:50:05, 1.22s/step] Training: 75%|███████▌ | 52782/70000 [18:41:42<5:59:34, 1.25s/step] Training: 75%|███████▌ | 52783/70000 [18:41:43<6:06:25, 1.28s/step] Training: 75%|███████▌ | 52784/70000 [18:41:44<6:10:17, 1.29s/step] Training: 75%|███████▌ | 52785/70000 [18:41:46<6:17:21, 1.32s/step] Training: 75%|███████▌ | 52786/70000 [18:41:47<6:06:18, 1.28s/step] Training: 75%|███████▌ | 52787/70000 [18:41:48<6:12:32, 1.30s/step] Training: 75%|███████▌ | 52788/70000 [18:41:49<6:03:24, 1.27s/step] Training: 75%|███████▌ | 52789/70000 [18:41:51<5:56:39, 1.24s/step] Training: 75%|███████▌ | 52790/70000 [18:41:52<6:05:58, 1.28s/step] Training: 75%|███████▌ | 52791/70000 [18:41:53<5:57:39, 1.25s/step] Training: 75%|███████▌ | 52792/70000 [18:41:54<6:04:00, 1.27s/step] Training: 75%|███████▌ | 52793/70000 [18:41:56<6:09:45, 1.29s/step] Training: 75%|███████▌ | 52794/70000 [18:41:57<6:01:11, 1.26s/step] Training: 75%|███████▌ | 52795/70000 [18:41:58<6:06:55, 1.28s/step] Training: 75%|███████▌ | 52796/70000 [18:42:00<6:10:43, 1.29s/step] Training: 75%|███████▌ | 52797/70000 [18:42:01<6:02:44, 1.27s/step] Training: 75%|███████▌ | 52798/70000 [18:42:02<6:07:31, 1.28s/step] Training: 75%|███████▌ | 52799/70000 [18:42:03<6:12:30, 1.30s/step] Training: 75%|███████▌ | 52800/70000 [18:42:05<6:04:22, 1.27s/step]INFO 2026-03-13 14:51:57 ot_train.py:435 step:53K smpl:3M ep:12K epch:44.75 loss:0.008 grdn:0.811 lr:4.4e-06 updt_s:1.255 data_s:0.018 Training: 75%|███████▌ | 52801/70000 [18:42:06<6:09:20, 1.29s/step] Training: 75%|███████▌ | 52802/70000 [18:42:07<6:00:51, 1.26s/step] Training: 75%|███████▌ | 52803/70000 [18:42:09<6:06:16, 1.28s/step] Training: 75%|███████▌ | 52804/70000 [18:42:10<6:10:22, 1.29s/step] Training: 75%|███████▌ | 52805/70000 [18:42:11<6:02:04, 1.26s/step] Training: 75%|███████▌ | 52806/70000 [18:42:12<6:08:10, 1.28s/step] Training: 75%|███████▌ | 52807/70000 [18:42:14<6:14:04, 1.31s/step] Training: 75%|███████▌ | 52808/70000 [18:42:15<6:15:54, 1.31s/step] Training: 75%|███████▌ | 52809/70000 [18:42:16<6:17:01, 1.32s/step] Training: 75%|███████▌ | 52810/70000 [18:42:18<6:05:59, 1.28s/step] Training: 75%|███████▌ | 52811/70000 [18:42:19<6:01:24, 1.26s/step] Training: 75%|███████▌ | 52812/70000 [18:42:20<6:07:22, 1.28s/step] Training: 75%|███████▌ | 52813/70000 [18:42:21<5:59:30, 1.26s/step] Training: 75%|███████▌ | 52814/70000 [18:42:23<6:05:52, 1.28s/step] Training: 75%|███████▌ | 52815/70000 [18:42:24<5:58:07, 1.25s/step] Training: 75%|███████▌ | 52816/70000 [18:42:25<5:53:01, 1.23s/step] Training: 75%|███████▌ | 52817/70000 [18:42:26<6:11:18, 1.30s/step] Training: 75%|███████▌ | 52818/70000 [18:42:28<6:02:11, 1.26s/step] Training: 75%|███████▌ | 52819/70000 [18:42:29<6:08:20, 1.29s/step] Training: 75%|███████▌ | 52820/70000 [18:42:30<6:00:17, 1.26s/step] Training: 75%|███████▌ | 52821/70000 [18:42:31<5:54:12, 1.24s/step] Training: 75%|███████▌ | 52822/70000 [18:42:33<6:01:43, 1.26s/step] Training: 75%|███████▌ | 52823/70000 [18:42:34<6:00:08, 1.26s/step] Training: 75%|███████▌ | 52824/70000 [18:42:35<5:54:01, 1.24s/step] Training: 75%|███████▌ | 52825/70000 [18:42:37<6:12:09, 1.30s/step] Training: 75%|███████▌ | 52826/70000 [18:42:38<6:02:40, 1.27s/step] Training: 75%|███████▌ | 52827/70000 [18:42:39<6:07:49, 1.29s/step] Training: 75%|███████▌ | 52828/70000 [18:42:40<5:59:58, 1.26s/step] Training: 75%|███████▌ | 52829/70000 [18:42:41<5:53:53, 1.24s/step] Training: 75%|███████▌ | 52830/70000 [18:42:43<6:01:57, 1.26s/step] Training: 75%|███████▌ | 52831/70000 [18:42:44<5:59:58, 1.26s/step] Training: 75%|███████▌ | 52832/70000 [18:42:45<5:53:37, 1.24s/step] Training: 75%|███████▌ | 52833/70000 [18:42:47<6:00:57, 1.26s/step] Training: 75%|███████▌ | 52834/70000 [18:42:48<5:54:57, 1.24s/step] Training: 75%|███████▌ | 52835/70000 [18:42:49<6:06:14, 1.28s/step] Training: 75%|███████▌ | 52836/70000 [18:42:50<5:58:15, 1.25s/step] Training: 75%|███████▌ | 52837/70000 [18:42:51<5:52:35, 1.23s/step] Training: 75%|███████▌ | 52838/70000 [18:42:53<6:00:23, 1.26s/step] Training: 75%|███████▌ | 52839/70000 [18:42:54<5:54:29, 1.24s/step] Training: 75%|███████▌ | 52840/70000 [18:42:55<6:03:33, 1.27s/step] Training: 75%|███████▌ | 52841/70000 [18:42:57<6:08:19, 1.29s/step] Training: 75%|███████▌ | 52842/70000 [18:42:58<5:59:37, 1.26s/step] Training: 75%|███████▌ | 52843/70000 [18:42:59<5:58:27, 1.25s/step] Training: 75%|███████▌ | 52844/70000 [18:43:00<5:53:22, 1.24s/step] Training: 75%|███████▌ | 52845/70000 [18:43:01<5:49:09, 1.22s/step] Training: 75%|███████▌ | 52846/70000 [18:43:03<5:58:13, 1.25s/step] Training: 75%|███████▌ | 52847/70000 [18:43:04<5:52:37, 1.23s/step] Training: 75%|███████▌ | 52848/70000 [18:43:05<5:56:27, 1.25s/step] Training: 75%|███████▌ | 52849/70000 [18:43:07<6:04:42, 1.28s/step] Training: 76%|███████▌ | 52850/70000 [18:43:08<5:57:07, 1.25s/step] Training: 76%|███████▌ | 52851/70000 [18:43:09<5:54:03, 1.24s/step] Training: 76%|███████▌ | 52852/70000 [18:43:10<5:59:39, 1.26s/step] Training: 76%|███████▌ | 52853/70000 [18:43:12<5:53:44, 1.24s/step] Training: 76%|███████▌ | 52854/70000 [18:43:13<6:00:49, 1.26s/step] Training: 76%|███████▌ | 52855/70000 [18:43:14<5:54:28, 1.24s/step] Training: 76%|███████▌ | 52856/70000 [18:43:15<6:03:31, 1.27s/step] Training: 76%|███████▌ | 52857/70000 [18:43:17<6:07:24, 1.29s/step] Training: 76%|███████▌ | 52858/70000 [18:43:18<5:59:29, 1.26s/step] Training: 76%|███████▌ | 52859/70000 [18:43:19<6:05:21, 1.28s/step] Training: 76%|███████▌ | 52860/70000 [18:43:20<5:57:54, 1.25s/step] Training: 76%|███████▌ | 52861/70000 [18:43:22<5:52:34, 1.23s/step] Training: 76%|███████▌ | 52862/70000 [18:43:23<6:01:23, 1.27s/step] Training: 76%|███████▌ | 52863/70000 [18:43:24<5:54:49, 1.24s/step] Training: 76%|███████▌ | 52864/70000 [18:43:25<6:04:45, 1.28s/step] Training: 76%|███████▌ | 52865/70000 [18:43:27<6:08:44, 1.29s/step] Training: 76%|███████▌ | 52866/70000 [18:43:28<5:59:46, 1.26s/step] Training: 76%|███████▌ | 52867/70000 [18:43:29<6:07:39, 1.29s/step] Training: 76%|███████▌ | 52868/70000 [18:43:31<5:59:15, 1.26s/step] Training: 76%|███████▌ | 52869/70000 [18:43:32<5:53:18, 1.24s/step] Training: 76%|███████▌ | 52870/70000 [18:43:33<6:01:01, 1.26s/step] Training: 76%|███████▌ | 52871/70000 [18:43:34<5:54:33, 1.24s/step] Training: 76%|███████▌ | 52872/70000 [18:43:35<5:50:09, 1.23s/step] Training: 76%|███████▌ | 52873/70000 [18:43:37<6:09:08, 1.29s/step] Training: 76%|███████▌ | 52874/70000 [18:43:38<6:00:30, 1.26s/step] Training: 76%|███████▌ | 52875/70000 [18:43:39<6:03:02, 1.27s/step] Training: 76%|███████▌ | 52876/70000 [18:43:41<5:56:25, 1.25s/step] Training: 76%|███████▌ | 52877/70000 [18:43:42<5:51:20, 1.23s/step] Training: 76%|███████▌ | 52878/70000 [18:43:43<6:00:47, 1.26s/step] Training: 76%|███████▌ | 52879/70000 [18:43:44<5:54:28, 1.24s/step] Training: 76%|███████▌ | 52880/70000 [18:43:45<5:49:46, 1.23s/step] Training: 76%|███████▌ | 52881/70000 [18:43:47<6:08:42, 1.29s/step] Training: 76%|███████▌ | 52882/70000 [18:43:48<6:00:03, 1.26s/step] Training: 76%|███████▌ | 52883/70000 [18:43:49<5:57:01, 1.25s/step] Training: 76%|███████▌ | 52884/70000 [18:43:51<5:59:56, 1.26s/step] Training: 76%|███████▌ | 52885/70000 [18:43:52<5:54:14, 1.24s/step] Training: 76%|███████▌ | 52886/70000 [18:43:53<6:01:49, 1.27s/step] Training: 76%|███████▌ | 52887/70000 [18:43:54<5:55:00, 1.24s/step] Training: 76%|███████▌ | 52888/70000 [18:43:56<5:50:16, 1.23s/step] Training: 76%|███████▌ | 52889/70000 [18:43:57<6:01:21, 1.27s/step] Training: 76%|███████▌ | 52890/70000 [18:43:58<5:54:44, 1.24s/step] Training: 76%|███████▌ | 52891/70000 [18:43:59<5:49:44, 1.23s/step] Training: 76%|███████▌ | 52892/70000 [18:44:01<5:57:32, 1.25s/step] Training: 76%|███████▌ | 52893/70000 [18:44:02<5:52:19, 1.24s/step] Training: 76%|███████▌ | 52894/70000 [18:44:03<6:00:02, 1.26s/step] Training: 76%|███████▌ | 52895/70000 [18:44:04<5:53:50, 1.24s/step] Training: 76%|███████▌ | 52896/70000 [18:44:05<5:49:44, 1.23s/step] Training: 76%|███████▌ | 52897/70000 [18:44:07<5:56:12, 1.25s/step] Training: 76%|███████▌ | 52898/70000 [18:44:08<5:56:31, 1.25s/step] Training: 76%|███████▌ | 52899/70000 [18:44:09<5:55:13, 1.25s/step] Training: 76%|███████▌ | 52900/70000 [18:44:10<5:50:28, 1.23s/step]INFO 2026-03-13 14:54:03 ot_train.py:435 step:53K smpl:3M ep:12K epch:44.84 loss:0.008 grdn:0.679 lr:4.4e-06 updt_s:1.237 data_s:0.019 Training: 76%|███████▌ | 52901/70000 [18:44:12<5:47:16, 1.22s/step] Training: 76%|███████▌ | 52902/70000 [18:44:13<5:56:58, 1.25s/step] Training: 76%|███████▌ | 52903/70000 [18:44:14<5:51:58, 1.24s/step] Training: 76%|███████▌ | 52904/70000 [18:44:15<5:48:14, 1.22s/step] Training: 76%|███████▌ | 52905/70000 [18:44:17<5:59:52, 1.26s/step] Training: 76%|███████▌ | 52906/70000 [18:44:18<6:07:08, 1.29s/step] Training: 76%|███████▌ | 52907/70000 [18:44:19<6:03:34, 1.28s/step] Training: 76%|███████▌ | 52908/70000 [18:44:21<5:56:45, 1.25s/step] Training: 76%|███████▌ | 52909/70000 [18:44:22<5:51:26, 1.23s/step] Training: 76%|███████▌ | 52910/70000 [18:44:23<5:59:45, 1.26s/step] Training: 76%|███████▌ | 52911/70000 [18:44:24<5:53:31, 1.24s/step] Training: 76%|███████▌ | 52912/70000 [18:44:25<5:48:53, 1.23s/step] Training: 76%|███████▌ | 52913/70000 [18:44:27<5:48:51, 1.23s/step] Training: 76%|███████▌ | 52914/70000 [18:44:28<5:55:25, 1.25s/step] Training: 76%|███████▌ | 52915/70000 [18:44:29<6:01:50, 1.27s/step] Training: 76%|███████▌ | 52916/70000 [18:44:30<5:55:15, 1.25s/step] Training: 76%|███████▌ | 52917/70000 [18:44:32<5:50:10, 1.23s/step] Training: 76%|███████▌ | 52918/70000 [18:44:33<5:57:32, 1.26s/step] Training: 76%|███████▌ | 52919/70000 [18:44:34<5:51:36, 1.24s/step] Training: 76%|███████▌ | 52920/70000 [18:44:35<5:47:36, 1.22s/step] Training: 76%|███████▌ | 52921/70000 [18:44:37<5:56:17, 1.25s/step] Training: 76%|███████▌ | 52922/70000 [18:44:38<5:51:01, 1.23s/step] Training: 76%|███████▌ | 52923/70000 [18:44:39<6:08:43, 1.30s/step] Training: 76%|███████▌ | 52924/70000 [18:44:40<5:59:29, 1.26s/step] Training: 76%|███████▌ | 52925/70000 [18:44:42<5:53:13, 1.24s/step] Training: 76%|███████▌ | 52926/70000 [18:44:43<6:00:52, 1.27s/step] Training: 76%|███████▌ | 52927/70000 [18:44:44<5:54:00, 1.24s/step] Training: 76%|███████▌ | 52928/70000 [18:44:45<5:49:25, 1.23s/step] Training: 76%|███████▌ | 52929/70000 [18:44:47<6:00:59, 1.27s/step] Training: 76%|███████▌ | 52930/70000 [18:44:48<6:07:45, 1.29s/step] Training: 76%|███████▌ | 52931/70000 [18:44:49<6:13:48, 1.31s/step] Training: 76%|███████▌ | 52932/70000 [18:44:51<6:03:14, 1.28s/step] Training: 76%|███████▌ | 52933/70000 [18:44:52<5:55:43, 1.25s/step] Training: 76%|███████▌ | 52934/70000 [18:44:53<6:02:18, 1.27s/step] Training: 76%|███████▌ | 52935/70000 [18:44:54<5:54:59, 1.25s/step] Training: 76%|███████▌ | 52936/70000 [18:44:56<5:50:25, 1.23s/step] Training: 76%|███████▌ | 52937/70000 [18:44:57<5:51:58, 1.24s/step] Training: 76%|███████▌ | 52938/70000 [18:44:58<5:47:58, 1.22s/step] Training: 76%|███████▌ | 52939/70000 [18:44:59<5:57:26, 1.26s/step] Training: 76%|███████▌ | 52940/70000 [18:45:01<5:50:43, 1.23s/step] Training: 76%|███████▌ | 52941/70000 [18:45:02<5:46:47, 1.22s/step] Training: 76%|███████▌ | 52942/70000 [18:45:03<5:55:58, 1.25s/step] Training: 76%|███████▌ | 52943/70000 [18:45:04<5:52:03, 1.24s/step] Training: 76%|███████▌ | 52944/70000 [18:45:05<5:47:47, 1.22s/step] Training: 76%|███████▌ | 52945/70000 [18:45:07<6:00:25, 1.27s/step] Training: 76%|███████▌ | 52946/70000 [18:45:08<5:53:41, 1.24s/step] Training: 76%|███████▌ | 52947/70000 [18:45:10<6:16:35, 1.33s/step] Training: 76%|███████▌ | 52948/70000 [18:45:11<6:04:08, 1.28s/step] Training: 76%|███████▌ | 52949/70000 [18:45:12<5:55:56, 1.25s/step] Training: 76%|███████▌ | 52950/70000 [18:45:13<6:02:32, 1.28s/step] Training: 76%|███████▌ | 52951/70000 [18:45:14<5:55:17, 1.25s/step] Training: 76%|███████▌ | 52952/70000 [18:45:16<5:50:06, 1.23s/step] Training: 76%|███████▌ | 52953/70000 [18:45:17<5:59:13, 1.26s/step] Training: 76%|███████▌ | 52954/70000 [18:45:18<5:52:35, 1.24s/step] Training: 76%|███████▌ | 52955/70000 [18:45:19<6:01:42, 1.27s/step] Training: 76%|███████▌ | 52956/70000 [18:45:21<5:55:22, 1.25s/step] Training: 76%|███████▌ | 52957/70000 [18:45:22<5:49:58, 1.23s/step] Training: 76%|███████▌ | 52958/70000 [18:45:23<5:59:15, 1.26s/step] Training: 76%|███████▌ | 52959/70000 [18:45:24<5:52:51, 1.24s/step] Training: 76%|███████▌ | 52960/70000 [18:45:26<5:48:04, 1.23s/step] Training: 76%|███████▌ | 52961/70000 [18:45:27<6:01:11, 1.27s/step] Training: 76%|███████▌ | 52962/70000 [18:45:28<5:53:56, 1.25s/step] Training: 76%|███████▌ | 52963/70000 [18:45:30<6:05:06, 1.29s/step] Training: 76%|███████▌ | 52964/70000 [18:45:31<5:56:56, 1.26s/step] Training: 76%|███████▌ | 52965/70000 [18:45:32<5:51:19, 1.24s/step] Training: 76%|███████▌ | 52966/70000 [18:45:33<5:58:47, 1.26s/step] Training: 76%|███████▌ | 52967/70000 [18:45:34<5:52:41, 1.24s/step] Training: 76%|███████▌ | 52968/70000 [18:45:36<5:47:55, 1.23s/step] Training: 76%|███████▌ | 52969/70000 [18:45:37<5:58:36, 1.26s/step] Training: 76%|███████▌ | 52970/70000 [18:45:38<5:52:30, 1.24s/step] Training: 76%|███████▌ | 52971/70000 [18:45:39<5:56:43, 1.26s/step] Training: 76%|███████▌ | 52972/70000 [18:45:41<5:50:07, 1.23s/step] Training: 76%|███████▌ | 52973/70000 [18:45:42<5:46:24, 1.22s/step] Training: 76%|███████▌ | 52974/70000 [18:45:43<6:00:29, 1.27s/step] Training: 76%|███████▌ | 52975/70000 [18:45:44<5:53:59, 1.25s/step] Training: 76%|███████▌ | 52976/70000 [18:45:46<5:49:33, 1.23s/step] Training: 76%|███████▌ | 52977/70000 [18:45:47<6:01:10, 1.27s/step] Training: 76%|███████▌ | 52978/70000 [18:45:48<5:53:58, 1.25s/step] Training: 76%|███████▌ | 52979/70000 [18:45:49<5:50:51, 1.24s/step] Training: 76%|███████▌ | 52980/70000 [18:45:51<6:00:28, 1.27s/step] Training: 76%|███████▌ | 52981/70000 [18:45:52<5:53:27, 1.25s/step] Training: 76%|███████▌ | 52982/70000 [18:45:53<6:00:22, 1.27s/step] Training: 76%|███████▌ | 52983/70000 [18:45:54<5:53:33, 1.25s/step] Training: 76%|███████▌ | 52984/70000 [18:45:56<5:48:38, 1.23s/step] Training: 76%|███████▌ | 52985/70000 [18:45:57<5:57:40, 1.26s/step] Training: 76%|███████▌ | 52986/70000 [18:45:58<5:51:48, 1.24s/step] Training: 76%|███████▌ | 52987/70000 [18:45:59<6:00:23, 1.27s/step] Training: 76%|███████▌ | 52988/70000 [18:46:01<5:59:14, 1.27s/step] Training: 76%|███████▌ | 52989/70000 [18:46:02<5:52:27, 1.24s/step] Training: 76%|███████▌ | 52990/70000 [18:46:03<5:59:37, 1.27s/step] Training: 76%|███████▌ | 52991/70000 [18:46:04<5:52:48, 1.24s/step] Training: 76%|███████▌ | 52992/70000 [18:46:06<5:48:26, 1.23s/step] Training: 76%|███████▌ | 52993/70000 [18:46:07<6:00:30, 1.27s/step] Training: 76%|███████▌ | 52994/70000 [18:46:08<5:53:28, 1.25s/step] Training: 76%|███████▌ | 52995/70000 [18:46:10<6:04:53, 1.29s/step] Training: 76%|███████▌ | 52996/70000 [18:46:11<5:56:40, 1.26s/step] Training: 76%|███████▌ | 52997/70000 [18:46:12<6:03:42, 1.28s/step] Training: 76%|███████▌ | 52998/70000 [18:46:13<6:06:29, 1.29s/step] Training: 76%|███████▌ | 52999/70000 [18:46:15<5:58:00, 1.26s/step] Training: 76%|███████▌ | 53000/70000 [18:46:16<5:51:38, 1.24s/step]INFO 2026-03-13 14:56:08 ot_train.py:435 step:53K smpl:3M ep:12K epch:44.92 loss:0.008 grdn:0.876 lr:4.3e-06 updt_s:1.232 data_s:0.019 Training: 76%|███████▌ | 53001/70000 [18:46:17<6:02:31, 1.28s/step] Training: 76%|███████▌ | 53002/70000 [18:46:18<5:54:55, 1.25s/step] Training: 76%|███████▌ | 53003/70000 [18:46:20<5:57:13, 1.26s/step] Training: 76%|███████▌ | 53004/70000 [18:46:21<6:05:27, 1.29s/step] Training: 76%|███████▌ | 53005/70000 [18:46:22<5:56:13, 1.26s/step] Training: 76%|███████▌ | 53006/70000 [18:46:23<6:02:36, 1.28s/step] Training: 76%|███████▌ | 53007/70000 [18:46:25<5:55:11, 1.25s/step] Training: 76%|███████▌ | 53008/70000 [18:46:26<5:49:41, 1.23s/step] Training: 76%|███████▌ | 53009/70000 [18:46:27<6:02:02, 1.28s/step] Training: 76%|███████▌ | 53010/70000 [18:46:28<5:55:01, 1.25s/step] Training: 76%|███████▌ | 53011/70000 [18:46:30<5:51:31, 1.24s/step] Training: 76%|███████▌ | 53012/70000 [18:46:31<5:56:25, 1.26s/step] Training: 76%|███████▌ | 53013/70000 [18:46:32<6:02:41, 1.28s/step] Training: 76%|███████▌ | 53014/70000 [18:46:34<6:05:42, 1.29s/step] Training: 76%|███████▌ | 53015/70000 [18:46:35<5:57:06, 1.26s/step] Training: 76%|███████▌ | 53016/70000 [18:46:36<5:50:53, 1.24s/step] Training: 76%|███████▌ | 53017/70000 [18:46:37<5:59:31, 1.27s/step] Training: 76%|███████▌ | 53018/70000 [18:46:39<5:52:42, 1.25s/step] Training: 76%|███████▌ | 53019/70000 [18:46:40<5:59:53, 1.27s/step] Training: 76%|███████▌ | 53020/70000 [18:46:41<5:53:07, 1.25s/step] Training: 76%|███████▌ | 53021/70000 [18:46:42<6:01:38, 1.28s/step] Training: 76%|███████▌ | 53022/70000 [18:46:44<6:05:30, 1.29s/step] Training: 76%|███████▌ | 53023/70000 [18:46:45<5:57:31, 1.26s/step] Training: 76%|███████▌ | 53024/70000 [18:46:46<5:51:21, 1.24s/step] Training: 76%|███████▌ | 53025/70000 [18:46:47<6:02:27, 1.28s/step] Training: 76%|███████▌ | 53026/70000 [18:46:49<6:05:33, 1.29s/step] Training: 76%|███████▌ | 53027/70000 [18:46:50<6:11:18, 1.31s/step] Training: 76%|███████▌ | 53028/70000 [18:46:51<6:01:13, 1.28s/step] Training: 76%|███████▌ | 53029/70000 [18:46:53<5:54:23, 1.25s/step] Training: 76%|███████▌ | 53030/70000 [18:46:54<5:59:56, 1.27s/step] Training: 76%|███████▌ | 53031/70000 [18:46:55<5:54:10, 1.25s/step] Training: 76%|███████▌ | 53032/70000 [18:46:56<5:48:29, 1.23s/step] Training: 76%|███████▌ | 53033/70000 [18:46:58<5:56:26, 1.26s/step] Training: 76%|███████▌ | 53034/70000 [18:46:59<6:00:34, 1.28s/step] Training: 76%|███████▌ | 53035/70000 [18:47:00<6:01:47, 1.28s/step] Training: 76%|███████▌ | 53036/70000 [18:47:01<5:54:21, 1.25s/step] Training: 76%|███████▌ | 53037/70000 [18:47:03<5:53:28, 1.25s/step] Training: 76%|███████▌ | 53038/70000 [18:47:04<5:59:50, 1.27s/step] Training: 76%|███████▌ | 53039/70000 [18:47:05<5:52:58, 1.25s/step] Training: 76%|███████▌ | 53040/70000 [18:47:06<5:47:46, 1.23s/step] Training: 76%|███████▌ | 53041/70000 [18:47:08<5:59:46, 1.27s/step] Training: 76%|███████▌ | 53042/70000 [18:47:09<5:52:42, 1.25s/step] Training: 76%|███████▌ | 53043/70000 [18:47:10<5:49:22, 1.24s/step] Training: 76%|███████▌ | 53044/70000 [18:47:11<5:55:20, 1.26s/step] Training: 76%|███████▌ | 53045/70000 [18:47:13<5:53:29, 1.25s/step] Training: 76%|███████▌ | 53046/70000 [18:47:14<5:59:24, 1.27s/step] Training: 76%|███████▌ | 53047/70000 [18:47:15<5:52:37, 1.25s/step] Training: 76%|███████▌ | 53048/70000 [18:47:16<5:47:36, 1.23s/step] Training: 76%|███████▌ | 53049/70000 [18:47:18<5:56:51, 1.26s/step] Training: 76%|███████▌ | 53050/70000 [18:47:19<6:00:14, 1.28s/step] Training: 76%|███████▌ | 53051/70000 [18:47:20<6:04:20, 1.29s/step] Training: 76%|███████▌ | 53052/70000 [18:47:22<5:55:48, 1.26s/step] Training: 76%|███████▌ | 53053/70000 [18:47:23<5:50:00, 1.24s/step] Training: 76%|███████▌ | 53054/70000 [18:47:24<6:05:40, 1.29s/step] Training: 76%|███████▌ | 53055/70000 [18:47:25<5:57:04, 1.26s/step] Training: 76%|███████▌ | 53056/70000 [18:47:26<5:50:40, 1.24s/step] Training: 76%|███████▌ | 53057/70000 [18:47:28<6:00:33, 1.28s/step] Training: 76%|███████▌ | 53058/70000 [18:47:29<6:05:13, 1.29s/step] Training: 76%|███████▌ | 53059/70000 [18:47:31<6:13:41, 1.32s/step] Training: 76%|███████▌ | 53060/70000 [18:47:32<6:02:36, 1.28s/step] Training: 76%|███████▌ | 53061/70000 [18:47:33<5:54:47, 1.26s/step] Training: 76%|███████▌ | 53062/70000 [18:47:34<6:08:16, 1.30s/step] Training: 76%|███████▌ | 53063/70000 [18:47:36<5:58:53, 1.27s/step] Training: 76%|███████▌ | 53064/70000 [18:47:37<5:52:04, 1.25s/step] Training: 76%|███████▌ | 53065/70000 [18:47:38<5:58:45, 1.27s/step] Training: 76%|███████▌ | 53066/70000 [18:47:39<5:53:26, 1.25s/step] Training: 76%|███████▌ | 53067/70000 [18:47:41<5:53:09, 1.25s/step] Training: 76%|███████▌ | 53068/70000 [18:47:42<5:48:08, 1.23s/step] Training: 76%|███████▌ | 53069/70000 [18:47:43<5:44:18, 1.22s/step] Training: 76%|███████▌ | 53070/70000 [18:47:44<5:55:13, 1.26s/step] Training: 76%|███████▌ | 53071/70000 [18:47:45<5:48:47, 1.24s/step] Training: 76%|███████▌ | 53072/70000 [18:47:47<5:44:32, 1.22s/step] Training: 76%|███████▌ | 53073/70000 [18:47:48<5:44:45, 1.22s/step] Training: 76%|███████▌ | 53074/70000 [18:47:49<6:04:32, 1.29s/step] Training: 76%|███████▌ | 53075/70000 [18:47:51<6:07:59, 1.30s/step] Training: 76%|███████▌ | 53076/70000 [18:47:52<5:58:25, 1.27s/step] Training: 76%|███████▌ | 53077/70000 [18:47:53<5:51:36, 1.25s/step] Training: 76%|███████▌ | 53078/70000 [18:47:54<6:00:42, 1.28s/step] Training: 76%|███████▌ | 53079/70000 [18:47:56<5:52:24, 1.25s/step] Training: 76%|███████▌ | 53080/70000 [18:47:57<5:47:21, 1.23s/step] Training: 76%|███████▌ | 53081/70000 [18:47:58<5:45:56, 1.23s/step] Training: 76%|███████▌ | 53082/70000 [18:47:59<6:00:01, 1.28s/step] Training: 76%|███████▌ | 53083/70000 [18:48:01<6:04:49, 1.29s/step] Training: 76%|███████▌ | 53084/70000 [18:48:02<5:56:16, 1.26s/step] Training: 76%|███████▌ | 53085/70000 [18:48:03<5:50:07, 1.24s/step] Training: 76%|███████▌ | 53086/70000 [18:48:04<6:00:20, 1.28s/step] Training: 76%|███████▌ | 53087/70000 [18:48:06<6:06:36, 1.30s/step] Training: 76%|███████▌ | 53088/70000 [18:48:07<5:56:27, 1.26s/step] Training: 76%|███████▌ | 53089/70000 [18:48:08<6:01:06, 1.28s/step] Training: 76%|███████▌ | 53090/70000 [18:48:10<6:05:20, 1.30s/step] Training: 76%|███████▌ | 53091/70000 [18:48:11<6:11:39, 1.32s/step] Training: 76%|███████▌ | 53092/70000 [18:48:12<6:00:34, 1.28s/step] Training: 76%|███████▌ | 53093/70000 [18:48:13<5:52:40, 1.25s/step] Training: 76%|███████▌ | 53094/70000 [18:48:15<5:59:49, 1.28s/step] Training: 76%|███████▌ | 53095/70000 [18:48:16<6:05:53, 1.30s/step] Training: 76%|███████▌ | 53096/70000 [18:48:17<5:55:40, 1.26s/step] Training: 76%|███████▌ | 53097/70000 [18:48:19<6:02:13, 1.29s/step] Training: 76%|███████▌ | 53098/70000 [18:48:20<6:07:03, 1.30s/step] Training: 76%|███████▌ | 53099/70000 [18:48:21<6:03:19, 1.29s/step] Training: 76%|███████▌ | 53100/70000 [18:48:23<7:18:05, 1.56s/step]INFO 2026-03-13 14:58:16 ot_train.py:435 step:53K smpl:3M ep:12K epch:45.01 loss:0.009 grdn:0.768 lr:4.3e-06 updt_s:1.245 data_s:0.028 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... TOKENIZERS_PARALLELISMTo disable this warning, you can either: =(true | false) - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 76%|███████▌ | 53101/70000 [18:48:27<10:32:47, 2.25s/step] Training: 76%|███████▌ | 53102/70000 [18:48:29<9:19:11, 1.99s/step] Training: 76%|███████▌ | 53103/70000 [18:48:30<8:28:35, 1.81s/step] Training: 76%|███████▌ | 53104/70000 [18:48:31<7:35:41, 1.62s/step] Training: 76%|███████▌ | 53105/70000 [18:48:32<7:05:53, 1.51s/step] Training: 76%|███████▌ | 53106/70000 [18:48:34<6:55:05, 1.47s/step] Training: 76%|███████▌ | 53107/70000 [18:48:35<6:49:45, 1.46s/step] Training: 76%|███████▌ | 53108/70000 [18:48:36<6:27:16, 1.38s/step] Training: 76%|███████▌ | 53109/70000 [18:48:38<6:11:38, 1.32s/step] Training: 76%|███████▌ | 53110/70000 [18:48:39<6:12:30, 1.32s/step] Training: 76%|███████▌ | 53111/70000 [18:48:40<6:15:06, 1.33s/step] Training: 76%|███████▌ | 53112/70000 [18:48:41<6:03:04, 1.29s/step] Training: 76%|███████▌ | 53113/70000 [18:48:43<5:57:48, 1.27s/step] Training: 76%|███████▌ | 53114/70000 [18:48:44<6:03:17, 1.29s/step] Training: 76%|███████▌ | 53115/70000 [18:48:45<6:07:04, 1.30s/step] Training: 76%|███████▌ | 53116/70000 [18:48:47<5:57:21, 1.27s/step] Training: 76%|███████▌ | 53117/70000 [18:48:48<5:50:57, 1.25s/step] Training: 76%|███████▌ | 53118/70000 [18:48:49<6:01:17, 1.28s/step] Training: 76%|███████▌ | 53119/70000 [18:48:50<5:58:55, 1.28s/step] Training: 76%|███████▌ | 53120/70000 [18:48:52<5:50:51, 1.25s/step] Training: 76%|███████▌ | 53121/70000 [18:48:53<5:58:23, 1.27s/step] Training: 76%|███████▌ | 53122/70000 [18:48:54<6:04:14, 1.29s/step] Training: 76%|███████▌ | 53123/70000 [18:48:56<6:10:12, 1.32s/step] Training: 76%|███████▌ | 53124/70000 [18:48:57<5:59:57, 1.28s/step] Training: 76%|███████▌ | 53125/70000 [18:48:58<5:52:24, 1.25s/step] Training: 76%|███████▌ | 53126/70000 [18:48:59<5:59:22, 1.28s/step] Training: 76%|███████▌ | 53127/70000 [18:49:01<5:52:39, 1.25s/step] Training: 76%|███████▌ | 53128/70000 [18:49:02<5:59:47, 1.28s/step] Training: 76%|███████▌ | 53129/70000 [18:49:03<6:03:12, 1.29s/step] Training: 76%|███████▌ | 53130/70000 [18:49:05<6:08:02, 1.31s/step] Training: 76%|███████▌ | 53131/70000 [18:49:06<6:02:13, 1.29s/step] Training: 76%|███████▌ | 53132/70000 [18:49:07<5:53:57, 1.26s/step] Training: 76%|███████▌ | 53133/70000 [18:49:08<5:48:26, 1.24s/step] Training: 76%|███████▌ | 53134/70000 [18:49:09<5:47:52, 1.24s/step] Training: 76%|███████▌ | 53135/70000 [18:49:11<5:54:18, 1.26s/step] Training: 76%|███████▌ | 53136/70000 [18:49:12<5:58:10, 1.27s/step] Training: 76%|███████▌ | 53137/70000 [18:49:13<5:53:52, 1.26s/step] Training: 76%|███████▌ | 53138/70000 [18:49:15<6:00:31, 1.28s/step] Training: 76%|███████▌ | 53139/70000 [18:49:16<6:05:16, 1.30s/step] Training: 76%|███████▌ | 53140/70000 [18:49:17<5:55:59, 1.27s/step] Training: 76%|███████▌ | 53141/70000 [18:49:18<5:49:31, 1.24s/step] Training: 76%|███████▌ | 53142/70000 [18:49:20<5:56:49, 1.27s/step] Training: 76%|███████▌ | 53143/70000 [18:49:21<5:49:55, 1.25s/step] Training: 76%|███████▌ | 53144/70000 [18:49:22<5:47:16, 1.24s/step] Training: 76%|███████▌ | 53145/70000 [18:49:23<5:45:43, 1.23s/step] Training: 76%|███████▌ | 53146/70000 [18:49:25<5:54:28, 1.26s/step] Training: 76%|███████▌ | 53147/70000 [18:49:26<6:00:01, 1.28s/step] Training: 76%|███████▌ | 53148/70000 [18:49:27<5:52:19, 1.25s/step] Training: 76%|███████▌ | 53149/70000 [18:49:28<5:46:41, 1.23s/step] Training: 76%|███████▌ | 53150/70000 [18:49:30<5:43:55, 1.22s/step] Training: 76%|███████▌ | 53151/70000 [18:49:31<5:52:54, 1.26s/step] Training: 76%|███████▌ | 53152/70000 [18:49:32<5:47:15, 1.24s/step] Training: 76%|███████▌ | 53153/70000 [18:49:33<5:55:03, 1.26s/step] Training: 76%|███████▌ | 53154/70000 [18:49:35<5:59:54, 1.28s/step] Training: 76%|███████▌ | 53155/70000 [18:49:36<6:07:24, 1.31s/step] Training: 76%|███████▌ | 53156/70000 [18:49:37<5:57:24, 1.27s/step] Training: 76%|███████▌ | 53157/70000 [18:49:38<5:50:06, 1.25s/step] Training: 76%|███████▌ | 53158/70000 [18:49:40<5:48:14, 1.24s/step] Training: 76%|███████▌ | 53159/70000 [18:49:41<5:50:19, 1.25s/step] Training: 76%|███████▌ | 53160/70000 [18:49:42<5:50:30, 1.25s/step] Training: 76%|███████▌ | 53161/70000 [18:49:44<5:57:05, 1.27s/step] Training: 76%|███████▌ | 53162/70000 [18:49:45<6:01:50, 1.29s/step] Training: 76%|███████▌ | 53163/70000 [18:49:46<6:04:28, 1.30s/step] Training: 76%|███████▌ | 53164/70000 [18:49:47<5:55:22, 1.27s/step] Training: 76%|███████▌ | 53165/70000 [18:49:49<5:48:43, 1.24s/step] Training: 76%|███████▌ | 53166/70000 [18:49:50<5:44:00, 1.23s/step] Training: 76%|███████▌ | 53167/70000 [18:49:51<5:53:46, 1.26s/step] Training: 76%|███████▌ | 53168/70000 [18:49:52<5:52:05, 1.26s/step] Training: 76%|███████▌ | 53169/70000 [18:49:54<5:48:19, 1.24s/step] Training: 76%|███████▌ | 53170/70000 [18:49:55<5:55:37, 1.27s/step] Training: 76%|███████▌ | 53171/70000 [18:49:56<6:00:32, 1.29s/step] Training: 76%|███████▌ | 53172/70000 [18:49:57<5:52:37, 1.26s/step] Training: 76%|███████▌ | 53173/70000 [18:49:59<5:46:45, 1.24s/step] Training: 76%|███████▌ | 53174/70000 [18:50:00<5:42:32, 1.22s/step] Training: 76%|███████▌ | 53175/70000 [18:50:01<5:52:05, 1.26s/step] Training: 76%|███████▌ | 53176/70000 [18:50:02<5:46:29, 1.24s/step] Training: 76%|███████▌ | 53177/70000 [18:50:04<5:56:06, 1.27s/step] Training: 76%|███████▌ | 53178/70000 [18:50:05<6:00:28, 1.29s/step] Training: 76%|███████▌ | 53179/70000 [18:50:06<6:04:45, 1.30s/step] Training: 76%|███████▌ | 53180/70000 [18:50:07<5:55:13, 1.27s/step] Training: 76%|███████▌ | 53181/70000 [18:50:09<5:48:27, 1.24s/step] Training: 76%|███████▌ | 53182/70000 [18:50:10<5:47:41, 1.24s/step] Training: 76%|███████▌ | 53183/70000 [18:50:11<5:56:15, 1.27s/step] Training: 76%|███████▌ | 53184/70000 [18:50:12<5:50:34, 1.25s/step] Training: 76%|███████▌ | 53185/70000 [18:50:14<6:04:35, 1.30s/step] Training: 76%|███████▌ | 53186/70000 [18:50:15<6:06:24, 1.31s/step] Training: 76%|███████▌ | 53187/70000 [18:50:17<6:14:00, 1.33s/step] Training: 76%|███████▌ | 53188/70000 [18:50:18<6:01:40, 1.29s/step] Training: 76%|███████▌ | 53189/70000 [18:50:19<5:53:05, 1.26s/step] Training: 76%|███████▌ | 53190/70000 [18:50:20<5:49:03, 1.25s/step] Training: 76%|███████▌ | 53191/70000 [18:50:21<5:55:25, 1.27s/step] Training: 76%|███████▌ | 53192/70000 [18:50:23<5:49:19, 1.25s/step] Training: 76%|███████▌ | 53193/70000 [18:50:24<5:56:54, 1.27s/step] Training: 76%|███████▌ | 53194/70000 [18:50:25<6:04:28, 1.30s/step] Training: 76%|███████▌ | 53195/70000 [18:50:27<6:06:53, 1.31s/step] Training: 76%|███████▌ | 53196/70000 [18:50:28<5:56:52, 1.27s/step] Training: 76%|███████▌ | 53197/70000 [18:50:29<5:49:38, 1.25s/step] Training: 76%|███████▌ | 53198/70000 [18:50:30<5:56:06, 1.27s/step] Training: 76%|███████▌ | 53199/70000 [18:50:32<5:50:52, 1.25s/step] Training: 76%|███████▌ | 53200/70000 [18:50:33<5:45:49, 1.24s/step]INFO 2026-03-13 15:00:25 ot_train.py:435 step:53K smpl:3M ep:12K epch:45.09 loss:0.008 grdn:0.791 lr:4.3e-06 updt_s:1.247 data_s:0.045 Training: 76%|███████▌ | 53201/70000 [18:50:34<5:46:27, 1.24s/step] Training: 76%|███████▌ | 53202/70000 [18:50:36<6:04:16, 1.30s/step] Training: 76%|███████▌ | 53203/70000 [18:50:37<6:21:18, 1.36s/step] Training: 76%|███████▌ | 53204/70000 [18:50:38<6:07:24, 1.31s/step] Training: 76%|███████▌ | 53205/70000 [18:50:39<5:57:22, 1.28s/step] Training: 76%|███████▌ | 53206/70000 [18:50:41<6:01:11, 1.29s/step] Training: 76%|███████▌ | 53207/70000 [18:50:42<6:04:45, 1.30s/step] Training: 76%|███████▌ | 53208/70000 [18:50:43<5:55:38, 1.27s/step] Training: 76%|███████▌ | 53209/70000 [18:50:44<5:52:01, 1.26s/step] Training: 76%|███████▌ | 53210/70000 [18:50:46<6:05:50, 1.31s/step] Training: 76%|███████▌ | 53211/70000 [18:50:47<6:18:21, 1.35s/step] Training: 76%|███████▌ | 53212/70000 [18:50:49<6:05:13, 1.31s/step] Training: 76%|███████▌ | 53213/70000 [18:50:50<5:55:16, 1.27s/step] Training: 76%|███████▌ | 53214/70000 [18:50:51<5:51:18, 1.26s/step] Training: 76%|███████▌ | 53215/70000 [18:50:52<5:57:53, 1.28s/step] Training: 76%|███████▌ | 53216/70000 [18:50:53<5:50:40, 1.25s/step] Training: 76%|███████▌ | 53217/70000 [18:50:55<5:56:20, 1.27s/step] Training: 76%|███████▌ | 53218/70000 [18:50:56<6:02:32, 1.30s/step] Training: 76%|███████▌ | 53219/70000 [18:50:58<6:11:13, 1.33s/step] Training: 76%|███████▌ | 53220/70000 [18:50:59<5:59:59, 1.29s/step] Training: 76%|███████▌ | 53221/70000 [18:51:00<5:52:07, 1.26s/step] Training: 76%|███████▌ | 53222/70000 [18:51:01<5:50:06, 1.25s/step] Training: 76%|███████▌ | 53223/70000 [18:51:03<5:56:00, 1.27s/step] Training: 76%|███████▌ | 53224/70000 [18:51:04<5:48:55, 1.25s/step] Training: 76%|███████▌ | 53225/70000 [18:51:05<5:55:14, 1.27s/step] Training: 76%|███████▌ | 53226/70000 [18:51:06<5:50:01, 1.25s/step] Training: 76%|███████▌ | 53227/70000 [18:51:08<6:08:28, 1.32s/step] Training: 76%|███████▌ | 53228/70000 [18:51:09<5:58:19, 1.28s/step] Training: 76%|███████▌ | 53229/70000 [18:51:10<5:50:40, 1.25s/step] Training: 76%|███████▌ | 53230/70000 [18:51:11<5:45:11, 1.24s/step] Training: 76%|███████▌ | 53231/70000 [18:51:13<5:54:22, 1.27s/step] Training: 76%|███████▌ | 53232/70000 [18:51:14<5:47:58, 1.25s/step] Training: 76%|███████▌ | 53233/70000 [18:51:15<5:47:57, 1.25s/step] Training: 76%|███████▌ | 53234/70000 [18:51:16<5:55:19, 1.27s/step] Training: 76%|███████▌ | 53235/70000 [18:51:18<6:10:04, 1.32s/step] Training: 76%|███████▌ | 53236/70000 [18:51:19<5:59:06, 1.29s/step] Training: 76%|███████▌ | 53237/70000 [18:51:20<5:51:08, 1.26s/step] Training: 76%|███████▌ | 53238/70000 [18:51:22<5:57:12, 1.28s/step] Training: 76%|███████▌ | 53239/70000 [18:51:23<6:01:39, 1.29s/step] Training: 76%|███████▌ | 53240/70000 [18:51:24<5:52:55, 1.26s/step] Training: 76%|███████▌ | 53241/70000 [18:51:25<5:49:14, 1.25s/step] Training: 76%|███████▌ | 53242/70000 [18:51:27<6:02:51, 1.30s/step] Training: 76%|███████▌ | 53243/70000 [18:51:28<6:05:39, 1.31s/step] Training: 76%|███████▌ | 53244/70000 [18:51:29<5:55:25, 1.27s/step] Training: 76%|███████▌ | 53245/70000 [18:51:30<5:48:27, 1.25s/step] Training: 76%|███████▌ | 53246/70000 [18:51:32<5:45:20, 1.24s/step] Training: 76%|███████▌ | 53247/70000 [18:51:33<5:52:46, 1.26s/step] Training: 76%|███████▌ | 53248/70000 [18:51:34<5:47:07, 1.24s/step] Training: 76%|███████▌ | 53249/70000 [18:51:35<5:54:28, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=4288 Training: 76%|███████▌ | 53250/70000 [18:51:37<5:59:20, 1.29s/step] Training: 76%|███████▌ | 53251/70000 [18:51:38<6:06:12, 1.31s/step] Training: 76%|███████▌ | 53252/70000 [18:51:39<5:56:36, 1.28s/step] Training: 76%|███████▌ | 53253/70000 [18:51:41<5:49:13, 1.25s/step] Training: 76%|███████▌ | 53254/70000 [18:51:42<5:47:54, 1.25s/step] Training: 76%|███████▌ | 53255/70000 [18:51:43<5:55:10, 1.27s/step] Training: 76%|███████▌ | 53256/70000 [18:51:44<5:48:18, 1.25s/step] Training: 76%|███████▌ | 53257/70000 [18:51:46<5:55:12, 1.27s/step] Training: 76%|███████▌ | 53258/70000 [18:51:47<6:01:28, 1.30s/step] Training: 76%|███████▌ | 53259/70000 [18:51:48<6:00:44, 1.29s/step] Training: 76%|███████▌ | 53260/70000 [18:51:49<5:51:01, 1.26s/step] Training: 76%|███████▌ | 53261/70000 [18:51:51<5:45:38, 1.24s/step] Training: 76%|███████▌ | 53262/70000 [18:51:52<5:41:51, 1.23s/step] Training: 76%|███████▌ | 53263/70000 [18:51:53<5:53:17, 1.27s/step] Training: 76%|███████▌ | 53264/70000 [18:51:54<5:47:26, 1.25s/step] Training: 76%|███████▌ | 53265/70000 [18:51:56<5:46:04, 1.24s/step] Training: 76%|███████▌ | 53266/70000 [18:51:57<5:55:20, 1.27s/step] Training: 76%|███████▌ | 53267/70000 [18:51:58<6:00:42, 1.29s/step] Training: 76%|███████▌ | 53268/70000 [18:52:00<6:05:37, 1.31s/step] Training: 76%|███████▌ | 53269/70000 [18:52:01<5:54:58, 1.27s/step] Training: 76%|███████▌ | 53270/70000 [18:52:02<5:48:14, 1.25s/step] Training: 76%|███████▌ | 53271/70000 [18:52:03<5:54:39, 1.27s/step] Training: 76%|███████▌ | 53272/70000 [18:52:05<5:48:30, 1.25s/step] Training: 76%|███████▌ | 53273/70000 [18:52:06<5:45:59, 1.24s/step] Training: 76%|███████▌ | 53274/70000 [18:52:07<6:00:12, 1.29s/step] Training: 76%|███████▌ | 53275/70000 [18:52:09<6:03:08, 1.30s/step] Training: 76%|███████▌ | 53276/70000 [18:52:10<5:59:13, 1.29s/step] Training: 76%|███████▌ | 53277/70000 [18:52:11<5:50:45, 1.26s/step] Training: 76%|███████▌ | 53278/70000 [18:52:12<5:47:35, 1.25s/step] Training: 76%|███████▌ | 53279/70000 [18:52:14<5:54:59, 1.27s/step] Training: 76%|███████▌ | 53280/70000 [18:52:15<5:47:49, 1.25s/step] Training: 76%|███████▌ | 53281/70000 [18:52:16<5:42:47, 1.23s/step] Training: 76%|███████▌ | 53282/70000 [18:52:17<5:59:53, 1.29s/step] Training: 76%|███████▌ | 53283/70000 [18:52:19<6:05:48, 1.31s/step] Training: 76%|███████▌ | 53284/70000 [18:52:20<5:55:24, 1.28s/step] Training: 76%|███████▌ | 53285/70000 [18:52:21<6:01:06, 1.30s/step] Training: 76%|███████▌ | 53286/70000 [18:52:22<5:54:02, 1.27s/step] Training: 76%|███████▌ | 53287/70000 [18:52:24<6:00:33, 1.29s/step] Training: 76%|███████▌ | 53288/70000 [18:52:25<5:51:51, 1.26s/step] Training: 76%|███████▌ | 53289/70000 [18:52:26<5:57:11, 1.28s/step] Training: 76%|███████▌ | 53290/70000 [18:52:28<6:01:48, 1.30s/step] Training: 76%|███████▌ | 53291/70000 [18:52:29<5:58:21, 1.29s/step] Training: 76%|███████▌ | 53292/70000 [18:52:30<6:04:09, 1.31s/step] Training: 76%|███████▌ | 53293/70000 [18:52:31<5:53:54, 1.27s/step] Training: 76%|███████▌ | 53294/70000 [18:52:33<5:58:49, 1.29s/step] Training: 76%|███████▌ | 53295/70000 [18:52:34<6:01:50, 1.30s/step] Training: 76%|███████▌ | 53296/70000 [18:52:35<5:52:41, 1.27s/step] Training: 76%|███████▌ | 53297/70000 [18:52:37<5:48:24, 1.25s/step] Training: 76%|███████▌ | 53298/70000 [18:52:38<5:55:23, 1.28s/step] Training: 76%|███████▌ | 53299/70000 [18:52:39<6:00:12, 1.29s/step] Training: 76%|███████▌ | 53300/70000 [18:52:40<5:51:31, 1.26s/step]INFO 2026-03-13 15:02:33 ot_train.py:435 step:53K smpl:3M ep:12K epch:45.18 loss:0.008 grdn:0.710 lr:4.2e-06 updt_s:1.255 data_s:0.019 Training: 76%|███████▌ | 53301/70000 [18:52:42<5:58:20, 1.29s/step] Training: 76%|███████▌ | 53302/70000 [18:52:43<6:00:17, 1.29s/step] Training: 76%|███████▌ | 53303/70000 [18:52:44<6:02:59, 1.30s/step] Training: 76%|███████▌ | 53304/70000 [18:52:46<5:53:32, 1.27s/step] Training: 76%|███████▌ | 53305/70000 [18:52:47<5:51:16, 1.26s/step] Training: 76%|███████▌ | 53306/70000 [18:52:48<6:00:10, 1.29s/step] Training: 76%|███████▌ | 53307/70000 [18:52:50<6:03:41, 1.31s/step] Training: 76%|███████▌ | 53308/70000 [18:52:51<5:53:56, 1.27s/step] Training: 76%|███████▌ | 53309/70000 [18:52:52<5:59:30, 1.29s/step] Training: 76%|███████▌ | 53310/70000 [18:52:53<5:53:27, 1.27s/step] Training: 76%|███████▌ | 53311/70000 [18:52:55<5:57:52, 1.29s/step] Training: 76%|███████▌ | 53312/70000 [18:52:56<5:50:06, 1.26s/step] Training: 76%|███████▌ | 53313/70000 [18:52:57<5:44:05, 1.24s/step] Training: 76%|███████▌ | 53314/70000 [18:52:58<6:01:01, 1.30s/step] Training: 76%|███████▌ | 53315/70000 [18:53:00<6:07:14, 1.32s/step] Training: 76%|███████▌ | 53316/70000 [18:53:01<5:56:25, 1.28s/step] Training: 76%|███████▌ | 53317/70000 [18:53:02<5:48:32, 1.25s/step] Training: 76%|███████▌ | 53318/70000 [18:53:03<5:45:19, 1.24s/step] Training: 76%|███████▌ | 53319/70000 [18:53:05<5:52:12, 1.27s/step] Training: 76%|███████▌ | 53320/70000 [18:53:06<5:45:46, 1.24s/step] Training: 76%|███████▌ | 53321/70000 [18:53:07<5:52:33, 1.27s/step] Training: 76%|███████▌ | 53322/70000 [18:53:09<6:06:04, 1.32s/step] Training: 76%|███████▌ | 53323/70000 [18:53:10<6:00:30, 1.30s/step] Training: 76%|███████▌ | 53324/70000 [18:53:11<5:51:36, 1.27s/step] Training: 76%|███████▌ | 53325/70000 [18:53:12<5:50:52, 1.26s/step] Training: 76%|███████▌ | 53326/70000 [18:53:14<5:55:41, 1.28s/step] Training: 76%|███████▌ | 53327/70000 [18:53:15<5:49:26, 1.26s/step] Training: 76%|███████▌ | 53328/70000 [18:53:16<5:43:55, 1.24s/step] Training: 76%|███████▌ | 53329/70000 [18:53:17<5:41:55, 1.23s/step] Training: 76%|███████▌ | 53330/70000 [18:53:19<5:49:43, 1.26s/step] Training: 76%|███████▌ | 53331/70000 [18:53:20<5:56:37, 1.28s/step] Training: 76%|███████▌ | 53332/70000 [18:53:21<5:48:59, 1.26s/step] Training: 76%|███████▌ | 53333/70000 [18:53:22<5:48:02, 1.25s/step] Training: 76%|███████▌ | 53334/70000 [18:53:24<5:53:35, 1.27s/step] Training: 76%|███████▌ | 53335/70000 [18:53:25<5:58:36, 1.29s/step] Training: 76%|███████▌ | 53336/70000 [18:53:26<5:50:08, 1.26s/step] Training: 76%|███████▌ | 53337/70000 [18:53:27<5:46:56, 1.25s/step] Training: 76%|███████▌ | 53338/70000 [18:53:29<5:45:23, 1.24s/step] Training: 76%|███████▌ | 53339/70000 [18:53:30<5:52:12, 1.27s/step] Training: 76%|███████▌ | 53340/70000 [18:53:31<5:45:45, 1.25s/step] Training: 76%|███████▌ | 53341/70000 [18:53:32<5:41:20, 1.23s/step] Training: 76%|███████▌ | 53342/70000 [18:53:34<5:51:17, 1.27s/step] Training: 76%|███████▌ | 53343/70000 [18:53:35<5:55:55, 1.28s/step] Training: 76%|███████▌ | 53344/70000 [18:53:36<5:48:34, 1.26s/step] Training: 76%|███████▌ | 53345/70000 [18:53:37<5:42:58, 1.24s/step] Training: 76%|███████▌ | 53346/70000 [18:53:39<5:52:13, 1.27s/step] Training: 76%|███████▌ | 53347/70000 [18:53:40<6:00:11, 1.30s/step] Training: 76%|███████▌ | 53348/70000 [18:53:41<5:50:56, 1.26s/step] Training: 76%|███████▌ | 53349/70000 [18:53:43<5:44:54, 1.24s/step] Training: 76%|███████▌ | 53350/70000 [18:53:44<5:49:56, 1.26s/step] Training: 76%|███████▌ | 53351/70000 [18:53:45<5:55:25, 1.28s/step] Training: 76%|███████▌ | 53352/70000 [18:53:46<5:47:53, 1.25s/step] Training: 76%|███████▌ | 53353/70000 [18:53:48<5:42:25, 1.23s/step] Training: 76%|███████▌ | 53354/70000 [18:53:49<5:40:21, 1.23s/step] Training: 76%|███████▌ | 53355/70000 [18:53:50<5:46:52, 1.25s/step] Training: 76%|███████▌ | 53356/70000 [18:53:51<5:41:57, 1.23s/step] Training: 76%|███████▌ | 53357/70000 [18:53:52<5:40:55, 1.23s/step] Training: 76%|███████▌ | 53358/70000 [18:53:54<5:50:34, 1.26s/step] Training: 76%|███████▌ | 53359/70000 [18:53:55<5:45:26, 1.25s/step] Training: 76%|███████▌ | 53360/70000 [18:53:56<5:41:03, 1.23s/step] Training: 76%|███████▌ | 53361/70000 [18:53:57<5:40:42, 1.23s/step] Training: 76%|███████▌ | 53362/70000 [18:53:59<5:48:28, 1.26s/step] Training: 76%|███████▌ | 53363/70000 [18:54:00<5:55:21, 1.28s/step] Training: 76%|███████▌ | 53364/70000 [18:54:01<5:47:47, 1.25s/step] Training: 76%|███████▌ | 53365/70000 [18:54:02<5:43:06, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=4288 Training: 76%|███████▌ | 53366/70000 [18:54:04<5:52:49, 1.27s/step] Training: 76%|███████▌ | 53367/70000 [18:54:05<5:56:47, 1.29s/step] Training: 76%|███████▌ | 53368/70000 [18:54:06<5:48:49, 1.26s/step] Training: 76%|███████▌ | 53369/70000 [18:54:08<5:46:34, 1.25s/step] Training: 76%|███████▌ | 53370/70000 [18:54:09<5:56:32, 1.29s/step] Training: 76%|███████▌ | 53371/70000 [18:54:10<5:59:56, 1.30s/step] Training: 76%|███████▌ | 53372/70000 [18:54:11<5:50:51, 1.27s/step] Training: 76%|███████▌ | 53373/70000 [18:54:13<5:44:15, 1.24s/step] Training: 76%|███████▌ | 53374/70000 [18:54:14<5:42:09, 1.23s/step] Training: 76%|███████▋ | 53375/70000 [18:54:15<5:57:40, 1.29s/step] Training: 76%|███████▋ | 53376/70000 [18:54:16<5:49:29, 1.26s/step] Training: 76%|███████▋ | 53377/70000 [18:54:18<5:43:28, 1.24s/step] Training: 76%|███████▋ | 53378/70000 [18:54:19<5:52:19, 1.27s/step] Training: 76%|███████▋ | 53379/70000 [18:54:20<6:01:24, 1.30s/step] Training: 76%|███████▋ | 53380/70000 [18:54:22<5:51:41, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56209 Training: 76%|███████▋ | 53381/70000 [18:54:23<5:44:56, 1.25s/step] Training: 76%|███████▋ | 53382/70000 [18:54:24<5:41:49, 1.23s/step] Training: 76%|███████▋ | 53383/70000 [18:54:25<5:59:21, 1.30s/step] Training: 76%|███████▋ | 53384/70000 [18:54:27<5:50:23, 1.27s/step] Training: 76%|███████▋ | 53385/70000 [18:54:28<5:44:25, 1.24s/step] Training: 76%|███████▋ | 53386/70000 [18:54:29<5:52:39, 1.27s/step] Training: 76%|███████▋ | 53387/70000 [18:54:30<5:51:55, 1.27s/step] Training: 76%|███████▋ | 53388/70000 [18:54:32<5:45:23, 1.25s/step] Training: 76%|███████▋ | 53389/70000 [18:54:33<5:40:47, 1.23s/step] Training: 76%|███████▋ | 53390/70000 [18:54:34<5:49:03, 1.26s/step] Training: 76%|███████▋ | 53391/70000 [18:54:35<5:45:22, 1.25s/step] Training: 76%|███████▋ | 53392/70000 [18:54:37<5:40:34, 1.23s/step] Training: 76%|███████▋ | 53393/70000 [18:54:38<5:40:53, 1.23s/step] Training: 76%|███████▋ | 53394/70000 [18:54:39<5:49:16, 1.26s/step] Training: 76%|███████▋ | 53395/70000 [18:54:40<5:44:56, 1.25s/step] Training: 76%|███████▋ | 53396/70000 [18:54:42<5:49:37, 1.26s/step] Training: 76%|███████▋ | 53397/70000 [18:54:43<5:43:50, 1.24s/step] Training: 76%|███████▋ | 53398/70000 [18:54:44<5:39:10, 1.23s/step] Training: 76%|███████▋ | 53399/70000 [18:54:45<5:59:11, 1.30s/step] Training: 76%|███████▋ | 53400/70000 [18:54:47<5:49:24, 1.26s/step]INFO 2026-03-13 15:04:39 ot_train.py:435 step:53K smpl:3M ep:12K epch:45.26 loss:0.009 grdn:0.619 lr:4.2e-06 updt_s:1.242 data_s:0.019 Training: 76%|███████▋ | 53401/70000 [18:54:48<5:44:48, 1.25s/step] Training: 76%|███████▋ | 53402/70000 [18:54:49<5:54:10, 1.28s/step] Training: 76%|███████▋ | 53403/70000 [18:54:51<5:57:59, 1.29s/step] Training: 76%|███████▋ | 53404/70000 [18:54:52<5:49:26, 1.26s/step] Training: 76%|███████▋ | 53405/70000 [18:54:53<5:43:10, 1.24s/step] Training: 76%|███████▋ | 53406/70000 [18:54:54<5:39:23, 1.23s/step] Training: 76%|███████▋ | 53407/70000 [18:54:56<5:56:18, 1.29s/step] Training: 76%|███████▋ | 53408/70000 [18:54:57<5:48:06, 1.26s/step] Training: 76%|███████▋ | 53409/70000 [18:54:58<5:42:15, 1.24s/step] Training: 76%|███████▋ | 53410/70000 [18:54:59<5:53:26, 1.28s/step] Training: 76%|███████▋ | 53411/70000 [18:55:01<6:01:37, 1.31s/step] Training: 76%|███████▋ | 53412/70000 [18:55:02<5:51:36, 1.27s/step] Training: 76%|███████▋ | 53413/70000 [18:55:03<5:44:38, 1.25s/step] Training: 76%|███████▋ | 53414/70000 [18:55:04<5:40:25, 1.23s/step] Training: 76%|███████▋ | 53415/70000 [18:55:06<5:48:03, 1.26s/step] Training: 76%|███████▋ | 53416/70000 [18:55:07<5:55:14, 1.29s/step] Training: 76%|███████▋ | 53417/70000 [18:55:08<5:58:04, 1.30s/step] Training: 76%|███████▋ | 53418/70000 [18:55:09<5:50:03, 1.27s/step] Training: 76%|███████▋ | 53419/70000 [18:55:11<5:53:31, 1.28s/step] Training: 76%|███████▋ | 53420/70000 [18:55:12<5:45:55, 1.25s/step] Training: 76%|███████▋ | 53421/70000 [18:55:13<5:40:19, 1.23s/step] Training: 76%|███████▋ | 53422/70000 [18:55:14<5:37:22, 1.22s/step] Training: 76%|███████▋ | 53423/70000 [18:55:16<5:37:40, 1.22s/step] Training: 76%|███████▋ | 53424/70000 [18:55:17<5:44:43, 1.25s/step] Training: 76%|███████▋ | 53425/70000 [18:55:18<5:50:24, 1.27s/step] Training: 76%|███████▋ | 53426/70000 [18:55:20<5:55:33, 1.29s/step] Training: 76%|███████▋ | 53427/70000 [18:55:21<5:59:23, 1.30s/step] Training: 76%|███████▋ | 53428/70000 [18:55:22<5:50:17, 1.27s/step] Training: 76%|███████▋ | 53429/70000 [18:55:23<5:43:58, 1.25s/step] Training: 76%|███████▋ | 53430/70000 [18:55:24<5:39:36, 1.23s/step] Training: 76%|███████▋ | 53431/70000 [18:55:26<5:48:02, 1.26s/step] Training: 76%|███████▋ | 53432/70000 [18:55:27<5:56:07, 1.29s/step] Training: 76%|███████▋ | 53433/70000 [18:55:28<5:51:23, 1.27s/step] Training: 76%|███████▋ | 53434/70000 [18:55:30<5:58:37, 1.30s/step] Training: 76%|███████▋ | 53435/70000 [18:55:31<6:01:00, 1.31s/step] Training: 76%|███████▋ | 53436/70000 [18:55:32<5:51:36, 1.27s/step] Training: 76%|███████▋ | 53437/70000 [18:55:33<5:44:41, 1.25s/step] Training: 76%|███████▋ | 53438/70000 [18:55:35<5:40:01, 1.23s/step] Training: 76%|███████▋ | 53439/70000 [18:55:36<5:48:04, 1.26s/step] Training: 76%|███████▋ | 53440/70000 [18:55:37<5:42:03, 1.24s/step] Training: 76%|███████▋ | 53441/70000 [18:55:38<5:50:47, 1.27s/step] Training: 76%|███████▋ | 53442/70000 [18:55:40<5:53:13, 1.28s/step] Training: 76%|███████▋ | 53443/70000 [18:55:41<6:02:10, 1.31s/step] Training: 76%|███████▋ | 53444/70000 [18:55:42<5:51:59, 1.28s/step] Training: 76%|███████▋ | 53445/70000 [18:55:44<5:44:58, 1.25s/step] Training: 76%|███████▋ | 53446/70000 [18:55:45<5:39:50, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=55409 Training: 76%|███████▋ | 53447/70000 [18:55:46<5:47:58, 1.26s/step] Training: 76%|███████▋ | 53448/70000 [18:55:47<5:42:06, 1.24s/step] Training: 76%|███████▋ | 53449/70000 [18:55:49<5:51:30, 1.27s/step] Training: 76%|███████▋ | 53450/70000 [18:55:50<5:56:30, 1.29s/step] Training: 76%|███████▋ | 53451/70000 [18:55:51<5:52:55, 1.28s/step] Training: 76%|███████▋ | 53452/70000 [18:55:52<5:45:52, 1.25s/step] Training: 76%|███████▋ | 53453/70000 [18:55:54<5:40:25, 1.23s/step] Training: 76%|███████▋ | 53454/70000 [18:55:55<5:36:52, 1.22s/step] Training: 76%|███████▋ | 53455/70000 [18:55:56<5:45:19, 1.25s/step] Training: 76%|███████▋ | 53456/70000 [18:55:57<5:39:54, 1.23s/step] Training: 76%|███████▋ | 53457/70000 [18:55:59<5:39:12, 1.23s/step] Training: 76%|███████▋ | 53458/70000 [18:56:00<5:47:40, 1.26s/step] Training: 76%|███████▋ | 53459/70000 [18:56:01<5:53:18, 1.28s/step] Training: 76%|███████▋ | 53460/70000 [18:56:02<5:45:53, 1.25s/step] Training: 76%|███████▋ | 53461/70000 [18:56:04<5:40:18, 1.23s/step] Training: 76%|███████▋ | 53462/70000 [18:56:05<5:36:32, 1.22s/step] Training: 76%|███████▋ | 53463/70000 [18:56:06<5:45:18, 1.25s/step] Training: 76%|███████▋ | 53464/70000 [18:56:07<5:39:54, 1.23s/step] Training: 76%|███████▋ | 53465/70000 [18:56:08<5:40:00, 1.23s/step] Training: 76%|███████▋ | 53466/70000 [18:56:10<5:51:02, 1.27s/step] Training: 76%|███████▋ | 53467/70000 [18:56:11<5:56:43, 1.29s/step] Training: 76%|███████▋ | 53468/70000 [18:56:12<5:48:27, 1.26s/step] Training: 76%|███████▋ | 53469/70000 [18:56:14<5:42:11, 1.24s/step] Training: 76%|███████▋ | 53470/70000 [18:56:15<5:37:36, 1.23s/step] Training: 76%|███████▋ | 53471/70000 [18:56:16<5:45:51, 1.26s/step] Training: 76%|███████▋ | 53472/70000 [18:56:17<5:40:07, 1.23s/step] Training: 76%|███████▋ | 53473/70000 [18:56:19<5:48:17, 1.26s/step] Training: 76%|███████▋ | 53474/70000 [18:56:20<5:47:17, 1.26s/step] Training: 76%|███████▋ | 53475/70000 [18:56:21<5:45:35, 1.25s/step] Training: 76%|███████▋ | 53476/70000 [18:56:22<5:50:23, 1.27s/step] Training: 76%|███████▋ | 53477/70000 [18:56:24<5:43:20, 1.25s/step] Training: 76%|███████▋ | 53478/70000 [18:56:25<5:38:59, 1.23s/step] Training: 76%|███████▋ | 53479/70000 [18:56:26<5:46:45, 1.26s/step] Training: 76%|███████▋ | 53480/70000 [18:56:27<5:41:02, 1.24s/step] Training: 76%|███████▋ | 53481/70000 [18:56:29<5:48:38, 1.27s/step] Training: 76%|███████▋ | 53482/70000 [18:56:30<6:03:43, 1.32s/step] Training: 76%|███████▋ | 53483/70000 [18:56:31<5:54:14, 1.29s/step] Training: 76%|███████▋ | 53484/70000 [18:56:33<5:56:00, 1.29s/step] Training: 76%|███████▋ | 53485/70000 [18:56:34<5:47:20, 1.26s/step] Training: 76%|███████▋ | 53486/70000 [18:56:35<5:41:33, 1.24s/step] Training: 76%|███████▋ | 53487/70000 [18:56:36<5:48:32, 1.27s/step] Training: 76%|███████▋ | 53488/70000 [18:56:38<5:42:13, 1.24s/step] Training: 76%|███████▋ | 53489/70000 [18:56:39<5:41:22, 1.24s/step] Training: 76%|███████▋ | 53490/70000 [18:56:40<5:52:06, 1.28s/step] Training: 76%|███████▋ | 53491/70000 [18:56:41<5:56:19, 1.30s/step] Training: 76%|███████▋ | 53492/70000 [18:56:43<5:47:46, 1.26s/step] Training: 76%|███████▋ | 53493/70000 [18:56:44<5:41:35, 1.24s/step] Training: 76%|███████▋ | 53494/70000 [18:56:45<5:37:02, 1.23s/step] Training: 76%|███████▋ | 53495/70000 [18:56:46<5:45:23, 1.26s/step] Training: 76%|███████▋ | 53496/70000 [18:56:48<5:39:49, 1.24s/step] Training: 76%|███████▋ | 53497/70000 [18:56:49<5:38:15, 1.23s/step] Training: 76%|███████▋ | 53498/70000 [18:56:50<5:49:16, 1.27s/step] Training: 76%|███████▋ | 53499/70000 [18:56:51<5:54:00, 1.29s/step] Training: 76%|███████▋ | 53500/70000 [18:56:53<5:55:16, 1.29s/step]INFO 2026-03-13 15:06:45 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.35 loss:0.008 grdn:0.600 lr:4.2e-06 updt_s:1.240 data_s:0.019 Training: 76%|███████▋ | 53501/70000 [18:56:54<5:46:56, 1.26s/step] Training: 76%|███████▋ | 53502/70000 [18:56:55<5:40:52, 1.24s/step] Training: 76%|███████▋ | 53503/70000 [18:56:56<5:48:30, 1.27s/step] Training: 76%|███████▋ | 53504/70000 [18:56:58<5:42:01, 1.24s/step] Training: 76%|███████▋ | 53505/70000 [18:56:59<5:48:13, 1.27s/step] Training: 76%|███████▋ | 53506/70000 [18:57:00<5:48:04, 1.27s/step] Training: 76%|███████▋ | 53507/70000 [18:57:02<5:55:24, 1.29s/step] Training: 76%|███████▋ | 53508/70000 [18:57:03<5:57:45, 1.30s/step] Training: 76%|███████▋ | 53509/70000 [18:57:04<5:48:28, 1.27s/step] Training: 76%|███████▋ | 53510/70000 [18:57:05<5:41:57, 1.24s/step] Training: 76%|███████▋ | 53511/70000 [18:57:07<5:49:06, 1.27s/step] Training: 76%|███████▋ | 53512/70000 [18:57:08<5:42:16, 1.25s/step] Training: 76%|███████▋ | 53513/70000 [18:57:09<5:48:04, 1.27s/step] Training: 76%|███████▋ | 53514/70000 [18:57:10<5:53:46, 1.29s/step] Training: 76%|███████▋ | 53515/70000 [18:57:12<5:52:34, 1.28s/step] Training: 76%|███████▋ | 53516/70000 [18:57:13<5:46:29, 1.26s/step] Training: 76%|███████▋ | 53517/70000 [18:57:14<5:40:25, 1.24s/step] Training: 76%|███████▋ | 53518/70000 [18:57:15<5:36:14, 1.22s/step] Training: 76%|███████▋ | 53519/70000 [18:57:17<5:44:55, 1.26s/step] Training: 76%|███████▋ | 53520/70000 [18:57:18<5:39:08, 1.23s/step] Training: 76%|███████▋ | 53521/70000 [18:57:19<5:38:10, 1.23s/step] Training: 76%|███████▋ | 53522/70000 [18:57:20<5:46:47, 1.26s/step] Training: 76%|███████▋ | 53523/70000 [18:57:22<5:51:58, 1.28s/step] Training: 76%|███████▋ | 53524/70000 [18:57:23<6:04:59, 1.33s/step] Training: 76%|███████▋ | 53525/70000 [18:57:24<5:53:27, 1.29s/step] Training: 76%|███████▋ | 53526/70000 [18:57:26<5:45:14, 1.26s/step] Training: 76%|███████▋ | 53527/70000 [18:57:27<5:51:49, 1.28s/step] Training: 76%|███████▋ | 53528/70000 [18:57:28<5:44:15, 1.25s/step] Training: 76%|███████▋ | 53529/70000 [18:57:29<5:40:13, 1.24s/step] Training: 76%|███████▋ | 53530/70000 [18:57:31<5:53:11, 1.29s/step] Training: 76%|███████▋ | 53531/70000 [18:57:32<5:58:55, 1.31s/step] Training: 76%|███████▋ | 53532/70000 [18:57:33<5:59:09, 1.31s/step] Training: 76%|███████▋ | 53533/70000 [18:57:35<5:49:15, 1.27s/step] Training: 76%|███████▋ | 53534/70000 [18:57:36<5:42:19, 1.25s/step] Training: 76%|███████▋ | 53535/70000 [18:57:37<5:49:24, 1.27s/step] Training: 76%|███████▋ | 53536/70000 [18:57:38<5:42:31, 1.25s/step] Training: 76%|███████▋ | 53537/70000 [18:57:40<5:49:22, 1.27s/step] Training: 76%|███████▋ | 53538/70000 [18:57:41<5:48:18, 1.27s/step] Training: 76%|███████▋ | 53539/70000 [18:57:42<5:45:35, 1.26s/step] Training: 76%|███████▋ | 53540/70000 [18:57:43<5:53:00, 1.29s/step] Training: 76%|███████▋ | 53541/70000 [18:57:45<5:44:15, 1.25s/step] Training: 76%|███████▋ | 53542/70000 [18:57:46<5:38:57, 1.24s/step] Training: 76%|███████▋ | 53543/70000 [18:57:47<5:46:01, 1.26s/step] Training: 76%|███████▋ | 53544/70000 [18:57:48<5:51:52, 1.28s/step] Training: 76%|███████▋ | 53545/70000 [18:57:50<5:56:19, 1.30s/step] Training: 76%|███████▋ | 53546/70000 [18:57:51<5:59:38, 1.31s/step] Training: 76%|███████▋ | 53547/70000 [18:57:52<5:52:09, 1.28s/step] Training: 76%|███████▋ | 53548/70000 [18:57:54<5:56:30, 1.30s/step] Training: 76%|███████▋ | 53549/70000 [18:57:55<5:46:47, 1.26s/step] Training: 76%|███████▋ | 53550/70000 [18:57:56<5:40:30, 1.24s/step] Training: 77%|███████▋ | 53551/70000 [18:57:57<5:47:37, 1.27s/step] Training: 77%|███████▋ | 53552/70000 [18:57:59<5:52:27, 1.29s/step] Training: 77%|███████▋ | 53553/70000 [18:58:00<5:48:16, 1.27s/step] Training: 77%|███████▋ | 53554/70000 [18:58:01<5:53:10, 1.29s/step] Training: 77%|███████▋ | 53555/70000 [18:58:03<5:56:15, 1.30s/step] Training: 77%|███████▋ | 53556/70000 [18:58:04<5:58:13, 1.31s/step] Training: 77%|███████▋ | 53557/70000 [18:58:05<5:48:16, 1.27s/step] Training: 77%|███████▋ | 53558/70000 [18:58:06<5:41:47, 1.25s/step] Training: 77%|███████▋ | 53559/70000 [18:58:08<5:49:07, 1.27s/step] Training: 77%|███████▋ | 53560/70000 [18:58:09<5:42:19, 1.25s/step] Training: 77%|███████▋ | 53561/70000 [18:58:10<5:39:57, 1.24s/step] Training: 77%|███████▋ | 53562/70000 [18:58:11<5:50:10, 1.28s/step] Training: 77%|███████▋ | 53563/70000 [18:58:13<5:54:40, 1.29s/step] Training: 77%|███████▋ | 53564/70000 [18:58:14<6:01:09, 1.32s/step] Training: 77%|███████▋ | 53565/70000 [18:58:15<5:50:38, 1.28s/step] Training: 77%|███████▋ | 53566/70000 [18:58:16<5:43:09, 1.25s/step] Training: 77%|███████▋ | 53567/70000 [18:58:18<5:49:01, 1.27s/step] Training: 77%|███████▋ | 53568/70000 [18:58:19<5:41:46, 1.25s/step] Training: 77%|███████▋ | 53569/70000 [18:58:20<5:37:06, 1.23s/step] Training: 77%|███████▋ | 53570/70000 [18:58:22<5:44:43, 1.26s/step] Training: 77%|███████▋ | 53571/70000 [18:58:23<5:42:35, 1.25s/step] Training: 77%|███████▋ | 53572/70000 [18:58:24<5:45:47, 1.26s/step] Training: 77%|███████▋ | 53573/70000 [18:58:25<5:38:49, 1.24s/step] Training: 77%|███████▋ | 53574/70000 [18:58:26<5:34:35, 1.22s/step] Training: 77%|███████▋ | 53575/70000 [18:58:28<5:47:08, 1.27s/step] Training: 77%|███████▋ | 53576/70000 [18:58:29<5:40:34, 1.24s/step] Training: 77%|███████▋ | 53577/70000 [18:58:30<5:36:40, 1.23s/step] Training: 77%|███████▋ | 53578/70000 [18:58:32<5:49:58, 1.28s/step] Training: 77%|███████▋ | 53579/70000 [18:58:33<5:44:20, 1.26s/step] Training: 77%|███████▋ | 53580/70000 [18:58:34<5:40:10, 1.24s/step] Training: 77%|███████▋ | 53581/70000 [18:58:35<5:48:58, 1.28s/step] Training: 77%|███████▋ | 53582/70000 [18:58:37<5:41:25, 1.25s/step] Training: 77%|███████▋ | 53583/70000 [18:58:38<5:47:42, 1.27s/step] Training: 77%|███████▋ | 53584/70000 [18:58:39<5:40:47, 1.25s/step] Training: 77%|███████▋ | 53585/70000 [18:58:40<5:36:14, 1.23s/step] Training: 77%|███████▋ | 53586/70000 [18:58:42<5:45:26, 1.26s/step] Training: 77%|███████▋ | 53587/70000 [18:58:43<5:50:30, 1.28s/step] Training: 77%|███████▋ | 53588/70000 [18:58:44<5:54:15, 1.30s/step] Training: 77%|███████▋ | 53589/70000 [18:58:46<6:06:42, 1.34s/step] Training: 77%|███████▋ | 53590/70000 [18:58:47<5:54:28, 1.30s/step] Training: 77%|███████▋ | 53591/70000 [18:58:48<5:57:01, 1.31s/step] Training: 77%|███████▋ | 53592/70000 [18:58:49<5:47:08, 1.27s/step] Training: 77%|███████▋ | 53593/70000 [18:58:51<5:40:27, 1.25s/step] Training: 77%|███████▋ | 53594/70000 [18:58:52<5:51:44, 1.29s/step] Training: 77%|███████▋ | 53595/70000 [18:58:53<5:54:52, 1.30s/step] Training: 77%|███████▋ | 53596/70000 [18:58:55<5:57:51, 1.31s/step] Training: 77%|███████▋ | 53597/70000 [18:58:56<6:01:43, 1.32s/step] Training: 77%|███████▋ | 53598/70000 [18:58:57<5:49:40, 1.28s/step] Training: 77%|███████▋ | 53599/70000 [18:58:58<5:53:36, 1.29s/step] Training: 77%|███████▋ | 53600/70000 [18:59:00<5:45:43, 1.26s/step]INFO 2026-03-13 15:08:52 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.43 loss:0.009 grdn:0.711 lr:4.1e-06 updt_s:1.248 data_s:0.019 Training: 77%|███████▋ | 53601/70000 [18:59:01<5:39:25, 1.24s/step] Training: 77%|███████▋ | 53602/70000 [18:59:02<5:49:25, 1.28s/step] Training: 77%|███████▋ | 53603/70000 [18:59:03<5:46:12, 1.27s/step] Training: 77%|███████▋ | 53604/70000 [18:59:05<5:43:03, 1.26s/step] Training: 77%|███████▋ | 53605/70000 [18:59:06<5:49:54, 1.28s/step] Training: 77%|███████▋ | 53606/70000 [18:59:07<5:41:58, 1.25s/step] Training: 77%|███████▋ | 53607/70000 [18:59:09<5:52:02, 1.29s/step] Training: 77%|███████▋ | 53608/70000 [18:59:10<5:44:08, 1.26s/step] Training: 77%|███████▋ | 53609/70000 [18:59:11<5:38:21, 1.24s/step] Training: 77%|███████▋ | 53610/70000 [18:59:12<5:46:20, 1.27s/step] Training: 77%|███████▋ | 53611/70000 [18:59:13<5:42:01, 1.25s/step] Training: 77%|███████▋ | 53612/70000 [18:59:15<5:40:18, 1.25s/step] Training: 77%|███████▋ | 53613/70000 [18:59:16<5:35:39, 1.23s/step] Training: 77%|███████▋ | 53614/70000 [18:59:17<5:44:43, 1.26s/step] Training: 77%|███████▋ | 53615/70000 [18:59:19<5:48:48, 1.28s/step] Training: 77%|███████▋ | 53616/70000 [18:59:20<5:41:40, 1.25s/step] Training: 77%|███████▋ | 53617/70000 [18:59:21<5:36:30, 1.23s/step] Training: 77%|███████▋ | 53618/70000 [18:59:22<5:45:08, 1.26s/step] Training: 77%|███████▋ | 53619/70000 [18:59:24<5:51:07, 1.29s/step] Training: 77%|███████▋ | 53620/70000 [18:59:25<5:54:54, 1.30s/step] Training: 77%|███████▋ | 53621/70000 [18:59:26<5:45:55, 1.27s/step] Training: 77%|███████▋ | 53622/70000 [18:59:27<5:52:01, 1.29s/step] Training: 77%|███████▋ | 53623/70000 [18:59:29<5:54:16, 1.30s/step] Training: 77%|███████▋ | 53624/70000 [18:59:30<5:45:15, 1.26s/step] Training: 77%|███████▋ | 53625/70000 [18:59:31<5:39:07, 1.24s/step] Training: 77%|███████▋ | 53626/70000 [18:59:33<5:52:44, 1.29s/step] Training: 77%|███████▋ | 53627/70000 [18:59:34<5:56:42, 1.31s/step] Training: 77%|███████▋ | 53628/70000 [18:59:35<5:59:02, 1.32s/step] Training: 77%|███████▋ | 53629/70000 [18:59:36<5:49:02, 1.28s/step] Training: 77%|███████▋ | 53630/70000 [18:59:38<5:45:58, 1.27s/step] Training: 77%|███████▋ | 53631/70000 [18:59:39<5:50:56, 1.29s/step] Training: 77%|███████▋ | 53632/70000 [18:59:40<5:43:09, 1.26s/step] Training: 77%|███████▋ | 53633/70000 [18:59:41<5:37:33, 1.24s/step] Training: 77%|███████▋ | 53634/70000 [18:59:43<5:49:44, 1.28s/step] Training: 77%|███████▋ | 53635/70000 [18:59:44<5:46:01, 1.27s/step] Training: 77%|███████▋ | 53636/70000 [18:59:45<5:43:06, 1.26s/step] Training: 77%|███████▋ | 53637/70000 [18:59:46<5:38:02, 1.24s/step] Training: 77%|███████▋ | 53638/70000 [18:59:48<5:38:47, 1.24s/step] Training: 77%|███████▋ | 53639/70000 [18:59:49<5:48:35, 1.28s/step] Training: 77%|███████▋ | 53640/70000 [18:59:50<5:41:29, 1.25s/step] Training: 77%|███████▋ | 53641/70000 [18:59:51<5:36:31, 1.23s/step] Training: 77%|███████▋ | 53642/70000 [18:59:53<5:46:22, 1.27s/step] Training: 77%|███████▋ | 53643/70000 [18:59:54<5:43:30, 1.26s/step] Training: 77%|███████▋ | 53644/70000 [18:59:55<5:39:08, 1.24s/step] Training: 77%|███████▋ | 53645/70000 [18:59:56<5:34:34, 1.23s/step] Training: 77%|███████▋ | 53646/70000 [18:59:58<5:32:11, 1.22s/step] Training: 77%|███████▋ | 53647/70000 [18:59:59<5:47:49, 1.28s/step] Training: 77%|███████▋ | 53648/70000 [19:00:00<5:41:02, 1.25s/step] Training: 77%|███████▋ | 53649/70000 [19:00:01<5:35:56, 1.23s/step] Training: 77%|███████▋ | 53650/70000 [19:00:03<5:45:26, 1.27s/step] Training: 77%|███████▋ | 53651/70000 [19:00:04<5:38:59, 1.24s/step] Training: 77%|███████▋ | 53652/70000 [19:00:05<5:54:47, 1.30s/step] Training: 77%|███████▋ | 53653/70000 [19:00:07<5:45:39, 1.27s/step] Training: 77%|███████▋ | 53654/70000 [19:00:08<5:39:02, 1.24s/step] Training: 77%|███████▋ | 53655/70000 [19:00:09<5:52:28, 1.29s/step] Training: 77%|███████▋ | 53656/70000 [19:00:10<5:44:51, 1.27s/step] Training: 77%|███████▋ | 53657/70000 [19:00:12<5:39:51, 1.25s/step] Training: 77%|███████▋ | 53658/70000 [19:00:13<5:49:51, 1.28s/step] Training: 77%|███████▋ | 53659/70000 [19:00:14<5:53:26, 1.30s/step] Training: 77%|███████▋ | 53660/70000 [19:00:16<5:55:52, 1.31s/step] Training: 77%|███████▋ | 53661/70000 [19:00:17<5:46:25, 1.27s/step] Training: 77%|███████▋ | 53662/70000 [19:00:18<5:39:44, 1.25s/step] Training: 77%|███████▋ | 53663/70000 [19:00:19<5:46:05, 1.27s/step] Training: 77%|███████▋ | 53664/70000 [19:00:21<5:52:03, 1.29s/step] Training: 77%|███████▋ | 53665/70000 [19:00:22<5:42:56, 1.26s/step] Training: 77%|███████▋ | 53666/70000 [19:00:23<5:52:22, 1.29s/step] Training: 77%|███████▋ | 53667/70000 [19:00:24<5:45:37, 1.27s/step] Training: 77%|███████▋ | 53668/70000 [19:00:26<5:42:54, 1.26s/step] Training: 77%|███████▋ | 53669/70000 [19:00:27<5:37:07, 1.24s/step] Training: 77%|███████▋ | 53670/70000 [19:00:28<5:33:09, 1.22s/step] Training: 77%|███████▋ | 53671/70000 [19:00:29<5:48:43, 1.28s/step] Training: 77%|███████▋ | 53672/70000 [19:00:31<5:40:38, 1.25s/step] Training: 77%|███████▋ | 53673/70000 [19:00:32<5:35:35, 1.23s/step] Training: 77%|███████▋ | 53674/70000 [19:00:33<5:43:46, 1.26s/step] Training: 77%|███████▋ | 53675/70000 [19:00:34<5:41:00, 1.25s/step] Training: 77%|███████▋ | 53676/70000 [19:00:36<5:37:24, 1.24s/step] Training: 77%|███████▋ | 53677/70000 [19:00:37<5:33:12, 1.22s/step] Training: 77%|███████▋ | 53678/70000 [19:00:38<5:30:37, 1.22s/step] Training: 77%|███████▋ | 53679/70000 [19:00:39<5:39:36, 1.25s/step] Training: 77%|███████▋ | 53680/70000 [19:00:41<5:47:40, 1.28s/step] Training: 77%|███████▋ | 53681/70000 [19:00:42<5:39:47, 1.25s/step] Training: 77%|███████▋ | 53682/70000 [19:00:43<5:47:18, 1.28s/step] Training: 77%|███████▋ | 53683/70000 [19:00:44<5:40:14, 1.25s/step] Training: 77%|███████▋ | 53684/70000 [19:00:46<5:53:22, 1.30s/step] Training: 77%|███████▋ | 53685/70000 [19:00:47<5:44:12, 1.27s/step] Training: 77%|███████▋ | 53686/70000 [19:00:48<5:38:01, 1.24s/step] Training: 77%|███████▋ | 53687/70000 [19:00:50<5:44:56, 1.27s/step] Training: 77%|███████▋ | 53688/70000 [19:00:51<5:52:02, 1.29s/step] Training: 77%|███████▋ | 53689/70000 [19:00:52<5:42:34, 1.26s/step] Training: 77%|███████▋ | 53690/70000 [19:00:53<5:52:12, 1.30s/step] Training: 77%|███████▋ | 53691/70000 [19:00:55<5:55:14, 1.31s/step] Training: 77%|███████▋ | 53692/70000 [19:00:56<5:56:55, 1.31s/step] Training: 77%|███████▋ | 53693/70000 [19:00:57<5:47:07, 1.28s/step] Training: 77%|███████▋ | 53694/70000 [19:00:58<5:39:55, 1.25s/step] Training: 77%|███████▋ | 53695/70000 [19:01:00<5:45:59, 1.27s/step] Training: 77%|███████▋ | 53696/70000 [19:01:01<5:39:10, 1.25s/step] Training: 77%|███████▋ | 53697/70000 [19:01:02<5:34:08, 1.23s/step] Training: 77%|███████▋ | 53698/70000 [19:01:04<5:45:14, 1.27s/step] Training: 77%|███████▋ | 53699/70000 [19:01:05<5:40:44, 1.25s/step] Training: 77%|███████▋ | 53700/70000 [19:01:06<5:38:03, 1.24s/step]INFO 2026-03-13 15:10:58 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.52 loss:0.008 grdn:0.621 lr:4.1e-06 updt_s:1.242 data_s:0.019 Training: 77%|███████▋ | 53701/70000 [19:01:07<5:33:35, 1.23s/step] Training: 77%|███████▋ | 53702/70000 [19:01:08<5:30:27, 1.22s/step] Training: 77%|███████▋ | 53703/70000 [19:01:10<5:44:27, 1.27s/step] Training: 77%|███████▋ | 53704/70000 [19:01:11<5:42:15, 1.26s/step] Training: 77%|███████▋ | 53705/70000 [19:01:12<5:36:27, 1.24s/step] Training: 77%|███████▋ | 53706/70000 [19:01:14<5:46:11, 1.27s/step] Training: 77%|███████▋ | 53707/70000 [19:01:15<5:43:49, 1.27s/step] Training: 77%|███████▋ | 53708/70000 [19:01:16<5:41:46, 1.26s/step] Training: 77%|███████▋ | 53709/70000 [19:01:17<5:36:06, 1.24s/step] Training: 77%|███████▋ | 53710/70000 [19:01:18<5:32:07, 1.22s/step] Training: 77%|███████▋ | 53711/70000 [19:01:20<5:41:38, 1.26s/step] Training: 77%|███████▋ | 53712/70000 [19:01:21<5:40:03, 1.25s/step] Training: 77%|███████▋ | 53713/70000 [19:01:22<5:34:12, 1.23s/step] Training: 77%|███████▋ | 53714/70000 [19:01:24<5:42:41, 1.26s/step] Training: 77%|███████▋ | 53715/70000 [19:01:25<5:36:35, 1.24s/step] Training: 77%|███████▋ | 53716/70000 [19:01:26<5:43:16, 1.26s/step] Training: 77%|███████▋ | 53717/70000 [19:01:27<5:47:12, 1.28s/step] Training: 77%|███████▋ | 53718/70000 [19:01:29<5:40:34, 1.26s/step] Training: 77%|███████▋ | 53719/70000 [19:01:30<5:46:48, 1.28s/step] Training: 77%|███████▋ | 53720/70000 [19:01:31<5:39:48, 1.25s/step] Training: 77%|███████▋ | 53721/70000 [19:01:32<5:46:52, 1.28s/step] Training: 77%|███████▋ | 53722/70000 [19:01:34<5:53:27, 1.30s/step] Training: 77%|███████▋ | 53723/70000 [19:01:35<5:44:07, 1.27s/step] Training: 77%|███████▋ | 53724/70000 [19:01:36<5:37:28, 1.24s/step] Training: 77%|███████▋ | 53725/70000 [19:01:37<5:33:03, 1.23s/step] Training: 77%|███████▋ | 53726/70000 [19:01:39<5:29:57, 1.22s/step] Training: 77%|███████▋ | 53727/70000 [19:01:40<5:38:52, 1.25s/step] Training: 77%|███████▋ | 53728/70000 [19:01:41<5:34:10, 1.23s/step] Training: 77%|███████▋ | 53729/70000 [19:01:42<5:38:16, 1.25s/step] Training: 77%|███████▋ | 53730/70000 [19:01:44<5:47:18, 1.28s/step] Training: 77%|███████▋ | 53731/70000 [19:01:45<5:43:23, 1.27s/step] Training: 77%|███████▋ | 53732/70000 [19:01:46<5:39:16, 1.25s/step] Training: 77%|███████▋ | 53733/70000 [19:01:47<5:34:27, 1.23s/step] Training: 77%|███████▋ | 53734/70000 [19:01:48<5:30:55, 1.22s/step] Training: 77%|███████▋ | 53735/70000 [19:01:50<5:43:02, 1.27s/step] Training: 77%|███████▋ | 53736/70000 [19:01:51<5:36:46, 1.24s/step] Training: 77%|███████▋ | 53737/70000 [19:01:52<5:45:59, 1.28s/step] Training: 77%|███████▋ | 53738/70000 [19:01:54<5:51:22, 1.30s/step] Training: 77%|███████▋ | 53739/70000 [19:01:55<5:45:40, 1.28s/step] Training: 77%|███████▋ | 53740/70000 [19:01:56<5:43:33, 1.27s/step] Training: 77%|███████▋ | 53741/70000 [19:01:57<5:37:20, 1.24s/step] Training: 77%|███████▋ | 53742/70000 [19:01:59<5:32:42, 1.23s/step] Training: 77%|███████▋ | 53743/70000 [19:02:00<5:40:16, 1.26s/step] Training: 77%|███████▋ | 53744/70000 [19:02:01<5:34:57, 1.24s/step] Training: 77%|███████▋ | 53745/70000 [19:02:02<5:43:41, 1.27s/step] Training: 77%|███████▋ | 53746/70000 [19:02:04<5:47:46, 1.28s/step] Training: 77%|███████▋ | 53747/70000 [19:02:05<5:51:28, 1.30s/step] Training: 77%|███████▋ | 53748/70000 [19:02:06<5:42:44, 1.27s/step] Training: 77%|███████▋ | 53749/70000 [19:02:08<5:47:42, 1.28s/step] Training: 77%|███████▋ | 53750/70000 [19:02:09<5:40:26, 1.26s/step] Training: 77%|███████▋ | 53751/70000 [19:02:10<5:46:37, 1.28s/step] Training: 77%|███████▋ | 53752/70000 [19:02:11<5:50:27, 1.29s/step] Training: 77%|███████▋ | 53753/70000 [19:02:13<5:41:43, 1.26s/step] Training: 77%|███████▋ | 53754/70000 [19:02:14<5:57:05, 1.32s/step] Training: 77%|███████▋ | 53755/70000 [19:02:15<5:46:27, 1.28s/step] Training: 77%|███████▋ | 53756/70000 [19:02:17<5:51:35, 1.30s/step] Training: 77%|███████▋ | 53757/70000 [19:02:18<5:42:42, 1.27s/step] Training: 77%|███████▋ | 53758/70000 [19:02:19<5:36:15, 1.24s/step] Training: 77%|███████▋ | 53759/70000 [19:02:20<5:34:49, 1.24s/step] Training: 77%|███████▋ | 53760/70000 [19:02:22<5:35:45, 1.24s/step] Training: 77%|███████▋ | 53761/70000 [19:02:23<5:30:58, 1.22s/step] Training: 77%|███████▋ | 53762/70000 [19:02:24<5:47:14, 1.28s/step] Training: 77%|███████▋ | 53763/70000 [19:02:25<5:39:20, 1.25s/step] Training: 77%|███████▋ | 53764/70000 [19:02:27<5:44:29, 1.27s/step] Training: 77%|███████▋ | 53765/70000 [19:02:28<5:37:34, 1.25s/step] Training: 77%|███████▋ | 53766/70000 [19:02:29<5:32:53, 1.23s/step] Training: 77%|███████▋ | 53767/70000 [19:02:30<5:40:31, 1.26s/step] Training: 77%|███████▋ | 53768/70000 [19:02:32<5:36:36, 1.24s/step] Training: 77%|███████▋ | 53769/70000 [19:02:33<5:32:14, 1.23s/step] Training: 77%|███████▋ | 53770/70000 [19:02:34<5:41:52, 1.26s/step] Training: 77%|███████▋ | 53771/70000 [19:02:35<5:35:39, 1.24s/step] Training: 77%|███████▋ | 53772/70000 [19:02:36<5:34:38, 1.24s/step] Training: 77%|███████▋ | 53773/70000 [19:02:38<5:30:52, 1.22s/step] Training: 77%|███████▋ | 53774/70000 [19:02:39<5:28:19, 1.21s/step] Training: 77%|███████▋ | 53775/70000 [19:02:40<5:38:04, 1.25s/step] Training: 77%|███████▋ | 53776/70000 [19:02:42<5:45:04, 1.28s/step] Training: 77%|███████▋ | 53777/70000 [19:02:43<5:38:14, 1.25s/step] Training: 77%|███████▋ | 53778/70000 [19:02:44<5:50:35, 1.30s/step] Training: 77%|███████▋ | 53779/70000 [19:02:45<5:41:47, 1.26s/step] Training: 77%|███████▋ | 53780/70000 [19:02:47<5:44:49, 1.28s/step] Training: 77%|███████▋ | 53781/70000 [19:02:48<5:46:23, 1.28s/step] Training: 77%|███████▋ | 53782/70000 [19:02:49<5:39:28, 1.26s/step] Training: 77%|███████▋ | 53783/70000 [19:02:50<5:44:49, 1.28s/step] Training: 77%|███████▋ | 53784/70000 [19:02:52<5:49:21, 1.29s/step] Training: 77%|███████▋ | 53785/70000 [19:02:53<5:40:56, 1.26s/step] Training: 77%|███████▋ | 53786/70000 [19:02:54<5:49:39, 1.29s/step] Training: 77%|███████▋ | 53787/70000 [19:02:56<5:41:17, 1.26s/step] Training: 77%|███████▋ | 53788/70000 [19:02:57<5:46:54, 1.28s/step] Training: 77%|███████▋ | 53789/70000 [19:02:58<5:39:15, 1.26s/step] Training: 77%|███████▋ | 53790/70000 [19:02:59<5:34:02, 1.24s/step] Training: 77%|███████▋ | 53791/70000 [19:03:00<5:31:51, 1.23s/step] Training: 77%|███████▋ | 53792/70000 [19:03:02<5:40:40, 1.26s/step] Training: 77%|███████▋ | 53793/70000 [19:03:03<5:35:06, 1.24s/step] Training: 77%|███████▋ | 53794/70000 [19:03:04<5:46:08, 1.28s/step] Training: 77%|███████▋ | 53795/70000 [19:03:06<5:50:55, 1.30s/step] Training: 77%|███████▋ | 53796/70000 [19:03:07<5:43:34, 1.27s/step] Training: 77%|███████▋ | 53797/70000 [19:03:08<5:36:58, 1.25s/step] Training: 77%|███████▋ | 53798/70000 [19:03:09<5:32:05, 1.23s/step] Training: 77%|███████▋ | 53799/70000 [19:03:11<5:39:42, 1.26s/step] Training: 77%|███████▋ | 53800/70000 [19:03:12<5:35:35, 1.24s/step]INFO 2026-03-13 15:13:04 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.60 loss:0.008 grdn:0.779 lr:4.1e-06 updt_s:1.237 data_s:0.019 Training: 77%|███████▋ | 53801/70000 [19:03:13<5:31:15, 1.23s/step] Training: 77%|███████▋ | 53802/70000 [19:03:14<5:40:04, 1.26s/step] Training: 77%|███████▋ | 53803/70000 [19:03:16<5:42:06, 1.27s/step] Training: 77%|███████▋ | 53804/70000 [19:03:17<5:46:14, 1.28s/step] Training: 77%|███████▋ | 53805/70000 [19:03:18<5:38:52, 1.26s/step] Training: 77%|███████▋ | 53806/70000 [19:03:19<5:33:34, 1.24s/step] Training: 77%|███████▋ | 53807/70000 [19:03:21<5:41:09, 1.26s/step] Training: 77%|███████▋ | 53808/70000 [19:03:22<5:45:52, 1.28s/step] Training: 77%|███████▋ | 53809/70000 [19:03:23<5:38:28, 1.25s/step] Training: 77%|███████▋ | 53810/70000 [19:03:24<5:44:18, 1.28s/step] Training: 77%|███████▋ | 53811/70000 [19:03:26<5:41:30, 1.27s/step] Training: 77%|███████▋ | 53812/70000 [19:03:27<5:45:52, 1.28s/step] Training: 77%|███████▋ | 53813/70000 [19:03:28<5:38:56, 1.26s/step] Training: 77%|███████▋ | 53814/70000 [19:03:29<5:33:28, 1.24s/step] Training: 77%|███████▋ | 53815/70000 [19:03:31<5:40:45, 1.26s/step] Training: 77%|███████▋ | 53816/70000 [19:03:32<5:46:26, 1.28s/step] Training: 77%|███████▋ | 53817/70000 [19:03:33<5:38:57, 1.26s/step] Training: 77%|███████▋ | 53818/70000 [19:03:35<5:48:21, 1.29s/step] Training: 77%|███████▋ | 53819/70000 [19:03:36<5:40:25, 1.26s/step] Training: 77%|███████▋ | 53820/70000 [19:03:37<5:55:29, 1.32s/step] Training: 77%|███████▋ | 53821/70000 [19:03:38<5:44:47, 1.28s/step] Training: 77%|███████▋ | 53822/70000 [19:03:40<5:37:19, 1.25s/step] Training: 77%|███████▋ | 53823/70000 [19:03:41<5:33:09, 1.24s/step] Training: 77%|███████▋ | 53824/70000 [19:03:42<5:40:13, 1.26s/step] Training: 77%|███████▋ | 53825/70000 [19:03:43<5:34:36, 1.24s/step] Training: 77%|███████▋ | 53826/70000 [19:03:45<5:44:56, 1.28s/step] Training: 77%|███████▋ | 53827/70000 [19:03:46<5:37:40, 1.25s/step] Training: 77%|███████▋ | 53828/70000 [19:03:47<5:42:43, 1.27s/step] Training: 77%|███████▋ | 53829/70000 [19:03:48<5:35:22, 1.24s/step] Training: 77%|███████▋ | 53830/70000 [19:03:50<5:30:53, 1.23s/step] Training: 77%|███████▋ | 53831/70000 [19:03:51<5:39:15, 1.26s/step] Training: 77%|███████▋ | 53832/70000 [19:03:52<5:36:00, 1.25s/step] Training: 77%|███████▋ | 53833/70000 [19:03:53<5:31:21, 1.23s/step] Training: 77%|███████▋ | 53834/70000 [19:03:55<5:39:46, 1.26s/step] Training: 77%|███████▋ | 53835/70000 [19:03:56<5:34:01, 1.24s/step] Training: 77%|███████▋ | 53836/70000 [19:03:57<5:43:10, 1.27s/step] Training: 77%|███████▋ | 53837/70000 [19:03:58<5:35:27, 1.25s/step] Training: 77%|███████▋ | 53838/70000 [19:04:00<5:30:51, 1.23s/step] Training: 77%|███████▋ | 53839/70000 [19:04:01<5:38:27, 1.26s/step] Training: 77%|███████▋ | 53840/70000 [19:04:02<5:48:12, 1.29s/step] Training: 77%|███████▋ | 53841/70000 [19:04:04<5:40:36, 1.26s/step] Training: 77%|███████▋ | 53842/70000 [19:04:05<5:46:27, 1.29s/step] Training: 77%|███████▋ | 53843/70000 [19:04:06<5:38:55, 1.26s/step] Training: 77%|███████▋ | 53844/70000 [19:04:07<5:43:36, 1.28s/step] Training: 77%|███████▋ | 53845/70000 [19:04:09<5:49:32, 1.30s/step] Training: 77%|███████▋ | 53846/70000 [19:04:10<5:40:14, 1.26s/step] Training: 77%|███████▋ | 53847/70000 [19:04:11<5:45:31, 1.28s/step] Training: 77%|███████▋ | 53848/70000 [19:04:13<5:48:53, 1.30s/step] Training: 77%|███████▋ | 53849/70000 [19:04:14<5:40:10, 1.26s/step] Training: 77%|███████▋ | 53850/70000 [19:04:15<5:48:59, 1.30s/step] Training: 77%|███████▋ | 53851/70000 [19:04:16<5:40:18, 1.26s/step] Training: 77%|███████▋ | 53852/70000 [19:04:18<5:45:34, 1.28s/step] Training: 77%|███████▋ | 53853/70000 [19:04:19<5:50:24, 1.30s/step] Training: 77%|███████▋ | 53854/70000 [19:04:20<5:40:48, 1.27s/step] Training: 77%|███████▋ | 53855/70000 [19:04:21<5:35:32, 1.25s/step] Training: 77%|███████▋ | 53856/70000 [19:04:23<5:34:57, 1.24s/step] Training: 77%|███████▋ | 53857/70000 [19:04:24<5:29:39, 1.23s/step] Training: 77%|███████▋ | 53858/70000 [19:04:25<5:41:23, 1.27s/step] Training: 77%|███████▋ | 53859/70000 [19:04:26<5:35:25, 1.25s/step] Training: 77%|███████▋ | 53860/70000 [19:04:28<5:33:06, 1.24s/step] Training: 77%|███████▋ | 53861/70000 [19:04:29<5:30:38, 1.23s/step] Training: 77%|███████▋ | 53862/70000 [19:04:30<5:26:34, 1.21s/step] Training: 77%|███████▋ | 53863/70000 [19:04:31<5:36:02, 1.25s/step] Training: 77%|███████▋ | 53864/70000 [19:04:33<5:32:43, 1.24s/step] Training: 77%|███████▋ | 53865/70000 [19:04:34<5:28:42, 1.22s/step] Training: 77%|███████▋ | 53866/70000 [19:04:35<5:37:23, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=55409 Training: 77%|███████▋ | 53867/70000 [19:04:36<5:32:15, 1.24s/step] Training: 77%|███████▋ | 53868/70000 [19:04:38<5:39:00, 1.26s/step] Training: 77%|███████▋ | 53869/70000 [19:04:39<5:37:36, 1.26s/step] Training: 77%|███████▋ | 53870/70000 [19:04:40<5:32:03, 1.24s/step] Training: 77%|███████▋ | 53871/70000 [19:04:41<5:39:49, 1.26s/step] Training: 77%|███████▋ | 53872/70000 [19:04:43<5:45:17, 1.28s/step] Training: 77%|███████▋ | 53873/70000 [19:04:44<5:38:51, 1.26s/step] Training: 77%|███████▋ | 53874/70000 [19:04:45<5:43:41, 1.28s/step] Training: 77%|███████▋ | 53875/70000 [19:04:46<5:36:09, 1.25s/step] Training: 77%|███████▋ | 53876/70000 [19:04:48<5:42:25, 1.27s/step] Training: 77%|███████▋ | 53877/70000 [19:04:49<5:42:09, 1.27s/step] Training: 77%|███████▋ | 53878/70000 [19:04:50<5:34:27, 1.24s/step] Training: 77%|███████▋ | 53879/70000 [19:04:51<5:41:16, 1.27s/step] Training: 77%|███████▋ | 53880/70000 [19:04:53<5:45:59, 1.29s/step] Training: 77%|███████▋ | 53881/70000 [19:04:54<5:37:54, 1.26s/step] Training: 77%|███████▋ | 53882/70000 [19:04:55<5:46:46, 1.29s/step] Training: 77%|███████▋ | 53883/70000 [19:04:57<5:38:28, 1.26s/step] Training: 77%|███████▋ | 53884/70000 [19:04:58<5:43:58, 1.28s/step] Training: 77%|███████▋ | 53885/70000 [19:04:59<5:36:31, 1.25s/step] Training: 77%|███████▋ | 53886/70000 [19:05:00<5:45:43, 1.29s/step] Training: 77%|███████▋ | 53887/70000 [19:05:02<5:38:30, 1.26s/step] Training: 77%|███████▋ | 53888/70000 [19:05:03<5:36:08, 1.25s/step] Training: 77%|███████▋ | 53889/70000 [19:05:04<5:31:06, 1.23s/step] Training: 77%|███████▋ | 53890/70000 [19:05:05<5:41:48, 1.27s/step] Training: 77%|███████▋ | 53891/70000 [19:05:07<5:34:56, 1.25s/step] Training: 77%|███████▋ | 53892/70000 [19:05:08<5:34:43, 1.25s/step] Training: 77%|███████▋ | 53893/70000 [19:05:09<5:30:09, 1.23s/step] Training: 77%|███████▋ | 53894/70000 [19:05:10<5:33:08, 1.24s/step] Training: 77%|███████▋ | 53895/70000 [19:05:12<5:39:57, 1.27s/step] Training: 77%|███████▋ | 53896/70000 [19:05:13<5:36:12, 1.25s/step] Training: 77%|███████▋ | 53897/70000 [19:05:14<5:31:57, 1.24s/step] Training: 77%|███████▋ | 53898/70000 [19:05:15<5:38:12, 1.26s/step] Training: 77%|███████▋ | 53899/70000 [19:05:17<5:33:24, 1.24s/step] Training: 77%|███████▋ | 53900/70000 [19:05:18<5:40:08, 1.27s/step]INFO 2026-03-13 15:15:10 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.69 loss:0.008 grdn:0.891 lr:4.0e-06 updt_s:1.240 data_s:0.019 Training: 77%|███████▋ | 53901/70000 [19:05:19<5:33:57, 1.24s/step] Training: 77%|███████▋ | 53902/70000 [19:05:20<5:29:29, 1.23s/step] Training: 77%|███████▋ | 53903/70000 [19:05:22<5:43:54, 1.28s/step] Training: 77%|███████▋ | 53904/70000 [19:05:23<5:49:10, 1.30s/step] Training: 77%|███████▋ | 53905/70000 [19:05:24<5:40:18, 1.27s/step] Training: 77%|███████▋ | 53906/70000 [19:05:26<5:46:01, 1.29s/step] Training: 77%|███████▋ | 53907/70000 [19:05:27<5:39:44, 1.27s/step] Training: 77%|███████▋ | 53908/70000 [19:05:28<5:43:38, 1.28s/step] Training: 77%|███████▋ | 53909/70000 [19:05:29<5:36:04, 1.25s/step] Training: 77%|███████▋ | 53910/70000 [19:05:31<5:44:06, 1.28s/step] Training: 77%|███████▋ | 53911/70000 [19:05:32<5:47:02, 1.29s/step] Training: 77%|███████▋ | 53912/70000 [19:05:33<5:49:48, 1.30s/step] Training: 77%|███████▋ | 53913/70000 [19:05:34<5:40:30, 1.27s/step] Training: 77%|███████▋ | 53914/70000 [19:05:36<5:46:39, 1.29s/step] Training: 77%|███████▋ | 53915/70000 [19:05:37<5:38:09, 1.26s/step] Training: 77%|███████▋ | 53916/70000 [19:05:38<5:32:02, 1.24s/step] Training: 77%|███████▋ | 53917/70000 [19:05:39<5:39:03, 1.26s/step] Training: 77%|███████▋ | 53918/70000 [19:05:41<5:33:20, 1.24s/step] Training: 77%|███████▋ | 53919/70000 [19:05:42<5:42:20, 1.28s/step] Training: 77%|███████▋ | 53920/70000 [19:05:43<5:40:07, 1.27s/step] Training: 77%|███████▋ | 53921/70000 [19:05:44<5:34:19, 1.25s/step] Training: 77%|███████▋ | 53922/70000 [19:05:46<5:44:01, 1.28s/step] Training: 77%|███████▋ | 53923/70000 [19:05:47<5:36:20, 1.26s/step] Training: 77%|███████▋ | 53924/70000 [19:05:48<5:34:00, 1.25s/step] Training: 77%|███████▋ | 53925/70000 [19:05:50<5:40:11, 1.27s/step] Training: 77%|███████▋ | 53926/70000 [19:05:51<5:33:53, 1.25s/step] Training: 77%|███████▋ | 53927/70000 [19:05:52<5:47:11, 1.30s/step] Training: 77%|███████▋ | 53928/70000 [19:05:53<5:40:00, 1.27s/step] Training: 77%|███████▋ | 53929/70000 [19:05:55<5:33:47, 1.25s/step] Training: 77%|███████▋ | 53930/70000 [19:05:56<5:40:20, 1.27s/step] Training: 77%|███████▋ | 53931/70000 [19:05:57<5:33:43, 1.25s/step] Training: 77%|███████▋ | 53932/70000 [19:05:58<5:41:05, 1.27s/step] Training: 77%|███████▋ | 53933/70000 [19:06:00<5:34:27, 1.25s/step] Training: 77%|███████▋ | 53934/70000 [19:06:01<5:29:45, 1.23s/step] Training: 77%|███████▋ | 53935/70000 [19:06:02<5:37:46, 1.26s/step] Training: 77%|███████▋ | 53936/70000 [19:06:03<5:42:57, 1.28s/step] Training: 77%|███████▋ | 53937/70000 [19:06:05<5:35:36, 1.25s/step] Training: 77%|███████▋ | 53938/70000 [19:06:06<5:41:55, 1.28s/step] Training: 77%|███████▋ | 53939/70000 [19:06:07<5:34:58, 1.25s/step] Training: 77%|███████▋ | 53940/70000 [19:06:09<5:41:52, 1.28s/step] Training: 77%|███████▋ | 53941/70000 [19:06:10<5:34:41, 1.25s/step] Training: 77%|███████▋ | 53942/70000 [19:06:11<5:29:32, 1.23s/step] Training: 77%|███████▋ | 53943/70000 [19:06:12<5:29:09, 1.23s/step] Training: 77%|███████▋ | 53944/70000 [19:06:13<5:37:12, 1.26s/step] Training: 77%|███████▋ | 53945/70000 [19:06:15<5:31:26, 1.24s/step] Training: 77%|███████▋ | 53946/70000 [19:06:16<5:41:38, 1.28s/step] Training: 77%|███████▋ | 53947/70000 [19:06:17<5:34:22, 1.25s/step] Training: 77%|███████▋ | 53948/70000 [19:06:19<5:43:24, 1.28s/step] Training: 77%|███████▋ | 53949/70000 [19:06:20<5:35:49, 1.26s/step] Training: 77%|███████▋ | 53950/70000 [19:06:21<5:30:12, 1.23s/step] Training: 77%|███████▋ | 53951/70000 [19:06:22<5:31:05, 1.24s/step] Training: 77%|███████▋ | 53952/70000 [19:06:23<5:29:31, 1.23s/step] Training: 77%|███████▋ | 53953/70000 [19:06:25<5:26:04, 1.22s/step] Training: 77%|███████▋ | 53954/70000 [19:06:26<5:38:39, 1.27s/step] Training: 77%|███████▋ | 53955/70000 [19:06:27<5:32:39, 1.24s/step] Training: 77%|███████▋ | 53956/70000 [19:06:28<5:34:17, 1.25s/step] Training: 77%|███████▋ | 53957/70000 [19:06:30<5:29:29, 1.23s/step] Training: 77%|███████▋ | 53958/70000 [19:06:31<5:25:51, 1.22s/step] Training: 77%|███████▋ | 53959/70000 [19:06:32<5:34:39, 1.25s/step] Training: 77%|███████▋ | 53960/70000 [19:06:33<5:42:05, 1.28s/step] Training: 77%|███████▋ | 53961/70000 [19:06:35<5:34:05, 1.25s/step] Training: 77%|███████▋ | 53962/70000 [19:06:36<5:40:26, 1.27s/step] Training: 77%|███████▋ | 53963/70000 [19:06:37<5:33:29, 1.25s/step] Training: 77%|███████▋ | 53964/70000 [19:06:38<5:30:03, 1.23s/step] Training: 77%|███████▋ | 53965/70000 [19:06:40<5:35:14, 1.25s/step] Training: 77%|███████▋ | 53966/70000 [19:06:41<5:30:22, 1.24s/step] Training: 77%|███████▋ | 53967/70000 [19:06:42<5:37:52, 1.26s/step] Training: 77%|███████▋ | 53968/70000 [19:06:44<5:47:27, 1.30s/step] Training: 77%|███████▋ | 53969/70000 [19:06:45<5:38:34, 1.27s/step] Training: 77%|███████▋ | 53970/70000 [19:06:46<5:43:10, 1.28s/step] Training: 77%|███████▋ | 53971/70000 [19:06:47<5:35:24, 1.26s/step] Training: 77%|███████▋ | 53972/70000 [19:06:49<5:41:40, 1.28s/step] Training: 77%|███████▋ | 53973/70000 [19:06:50<5:34:16, 1.25s/step] Training: 77%|███████▋ | 53974/70000 [19:06:51<5:29:10, 1.23s/step] Training: 77%|███████▋ | 53975/70000 [19:06:52<5:29:20, 1.23s/step] Training: 77%|███████▋ | 53976/70000 [19:06:54<5:36:53, 1.26s/step] Training: 77%|███████▋ | 53977/70000 [19:06:55<5:31:22, 1.24s/step] Training: 77%|███████▋ | 53978/70000 [19:06:56<5:40:59, 1.28s/step] Training: 77%|███████▋ | 53979/70000 [19:06:57<5:33:47, 1.25s/step] Training: 77%|███████▋ | 53980/70000 [19:06:59<5:40:29, 1.28s/step] Training: 77%|███████▋ | 53981/70000 [19:07:00<5:33:19, 1.25s/step] Training: 77%|███████▋ | 53982/70000 [19:07:01<5:28:27, 1.23s/step] Training: 77%|███████▋ | 53983/70000 [19:07:02<5:26:58, 1.22s/step] Training: 77%|███████▋ | 53984/70000 [19:07:03<5:28:03, 1.23s/step] Training: 77%|███████▋ | 53985/70000 [19:07:05<5:36:41, 1.26s/step] Training: 77%|███████▋ | 53986/70000 [19:07:06<5:42:52, 1.28s/step] Training: 77%|███████▋ | 53987/70000 [19:07:07<5:35:05, 1.26s/step] Training: 77%|███████▋ | 53988/70000 [19:07:09<5:36:58, 1.26s/step] Training: 77%|███████▋ | 53989/70000 [19:07:10<5:31:04, 1.24s/step] Training: 77%|███████▋ | 53990/70000 [19:07:11<5:27:14, 1.23s/step] Training: 77%|███████▋ | 53991/70000 [19:07:12<5:34:41, 1.25s/step] Training: 77%|███████▋ | 53992/70000 [19:07:14<5:31:29, 1.24s/step] Training: 77%|███████▋ | 53993/70000 [19:07:15<5:35:14, 1.26s/step] Training: 77%|███████▋ | 53994/70000 [19:07:16<5:40:44, 1.28s/step] Training: 77%|███████▋ | 53995/70000 [19:07:17<5:34:08, 1.25s/step] Training: 77%|███████▋ | 53996/70000 [19:07:19<5:29:56, 1.24s/step] Training: 77%|███████▋ | 53997/70000 [19:07:20<5:35:23, 1.26s/step] Training: 77%|███████▋ | 53998/70000 [19:07:21<5:30:11, 1.24s/step] Training: 77%|███████▋ | 53999/70000 [19:07:22<5:36:51, 1.26s/step] Training: 77%|███████▋ | 54000/70000 [19:07:24<5:42:41, 1.29s/step]INFO 2026-03-13 15:17:16 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.77 loss:0.008 grdn:0.737 lr:4.0e-06 updt_s:1.237 data_s:0.019 Training: 77%|███████▋ | 54001/70000 [19:07:25<5:49:08, 1.31s/step] Training: 77%|███████▋ | 54002/70000 [19:07:26<5:50:13, 1.31s/step] Training: 77%|███████▋ | 54003/70000 [19:07:28<5:40:29, 1.28s/step] Training: 77%|███████▋ | 54004/70000 [19:07:29<5:44:28, 1.29s/step] Training: 77%|███████▋ | 54005/70000 [19:07:30<5:36:23, 1.26s/step] Training: 77%|███████▋ | 54006/70000 [19:07:31<5:30:22, 1.24s/step] Training: 77%|███████▋ | 54007/70000 [19:07:33<5:28:42, 1.23s/step] Training: 77%|███████▋ | 54008/70000 [19:07:34<5:36:03, 1.26s/step] Training: 77%|███████▋ | 54009/70000 [19:07:35<5:44:09, 1.29s/step] Training: 77%|███████▋ | 54010/70000 [19:07:37<5:46:34, 1.30s/step] Training: 77%|███████▋ | 54011/70000 [19:07:38<5:37:40, 1.27s/step] Training: 77%|███████▋ | 54012/70000 [19:07:39<5:44:04, 1.29s/step] Training: 77%|███████▋ | 54013/70000 [19:07:40<5:35:57, 1.26s/step] Training: 77%|███████▋ | 54014/70000 [19:07:41<5:30:19, 1.24s/step] Training: 77%|███████▋ | 54015/70000 [19:07:43<5:28:14, 1.23s/step] Training: 77%|███████▋ | 54016/70000 [19:07:44<5:28:57, 1.23s/step] Training: 77%|███████▋ | 54017/70000 [19:07:45<5:25:40, 1.22s/step] Training: 77%|███████▋ | 54018/70000 [19:07:47<5:42:47, 1.29s/step] Training: 77%|███████▋ | 54019/70000 [19:07:48<5:34:53, 1.26s/step] Training: 77%|███████▋ | 54020/70000 [19:07:49<5:36:52, 1.26s/step] Training: 77%|███████▋ | 54021/70000 [19:07:50<5:30:51, 1.24s/step] Training: 77%|███████▋ | 54022/70000 [19:07:51<5:26:33, 1.23s/step] Training: 77%|███████▋ | 54023/70000 [19:07:53<5:34:37, 1.26s/step] Training: 77%|███████▋ | 54024/70000 [19:07:54<5:30:14, 1.24s/step] Training: 77%|███████▋ | 54025/70000 [19:07:55<5:26:27, 1.23s/step] Training: 77%|███████▋ | 54026/70000 [19:07:57<5:44:00, 1.29s/step] Training: 77%|███████▋ | 54027/70000 [19:07:58<5:36:18, 1.26s/step] Training: 77%|███████▋ | 54028/70000 [19:07:59<5:33:38, 1.25s/step] Training: 77%|███████▋ | 54029/70000 [19:08:00<5:36:49, 1.27s/step] Training: 77%|███████▋ | 54030/70000 [19:08:01<5:31:19, 1.24s/step] Training: 77%|███████▋ | 54031/70000 [19:08:03<5:38:46, 1.27s/step] Training: 77%|███████▋ | 54032/70000 [19:08:04<5:43:21, 1.29s/step] Training: 77%|███████▋ | 54033/70000 [19:08:05<5:35:45, 1.26s/step] Training: 77%|███████▋ | 54034/70000 [19:08:07<5:48:40, 1.31s/step] Training: 77%|███████▋ | 54035/70000 [19:08:08<5:38:50, 1.27s/step] Training: 77%|███████▋ | 54036/70000 [19:08:09<5:44:08, 1.29s/step] Training: 77%|███████▋ | 54037/70000 [19:08:10<5:36:09, 1.26s/step] Training: 77%|███████▋ | 54038/70000 [19:08:12<5:29:59, 1.24s/step] Training: 77%|███████▋ | 54039/70000 [19:08:13<5:28:29, 1.23s/step] Training: 77%|███████▋ | 54040/70000 [19:08:14<5:36:04, 1.26s/step] Training: 77%|███████▋ | 54041/70000 [19:08:15<5:30:20, 1.24s/step] Training: 77%|███████▋ | 54042/70000 [19:08:17<5:39:52, 1.28s/step] Training: 77%|███████▋ | 54043/70000 [19:08:18<5:31:51, 1.25s/step] Training: 77%|███████▋ | 54044/70000 [19:08:19<5:40:46, 1.28s/step] Training: 77%|███████▋ | 54045/70000 [19:08:20<5:33:22, 1.25s/step] Training: 77%|███████▋ | 54046/70000 [19:08:22<5:28:42, 1.24s/step] Training: 77%|███████▋ | 54047/70000 [19:08:23<5:27:19, 1.23s/step] Training: 77%|███████▋ | 54048/70000 [19:08:24<5:27:23, 1.23s/step] Training: 77%|███████▋ | 54049/70000 [19:08:25<5:24:03, 1.22s/step] Training: 77%|███████▋ | 54050/70000 [19:08:27<5:33:00, 1.25s/step] Training: 77%|███████▋ | 54051/70000 [19:08:28<5:28:32, 1.24s/step] Training: 77%|███████▋ | 54052/70000 [19:08:29<5:29:37, 1.24s/step] Training: 77%|███████▋ | 54053/70000 [19:08:30<5:25:52, 1.23s/step] Training: 77%|███████▋ | 54054/70000 [19:08:31<5:23:02, 1.22s/step] Training: 77%|███████▋ | 54055/70000 [19:08:33<5:31:28, 1.25s/step] Training: 77%|███████▋ | 54056/70000 [19:08:34<5:28:22, 1.24s/step] Training: 77%|███████▋ | 54057/70000 [19:08:35<5:25:03, 1.22s/step] Training: 77%|███████▋ | 54058/70000 [19:08:37<5:33:27, 1.26s/step] Training: 77%|███████▋ | 54059/70000 [19:08:38<5:40:00, 1.28s/step] Training: 77%|███████▋ | 54060/70000 [19:08:39<5:34:58, 1.26s/step] Training: 77%|███████▋ | 54061/70000 [19:08:40<5:37:12, 1.27s/step] Training: 77%|███████▋ | 54062/70000 [19:08:42<5:30:30, 1.24s/step] Training: 77%|███████▋ | 54063/70000 [19:08:43<5:36:47, 1.27s/step] Training: 77%|███████▋ | 54064/70000 [19:08:44<5:41:12, 1.28s/step] Training: 77%|███████▋ | 54065/70000 [19:08:45<5:33:22, 1.26s/step] Training: 77%|███████▋ | 54066/70000 [19:08:47<5:38:56, 1.28s/step] Training: 77%|███████▋ | 54067/70000 [19:08:48<5:42:39, 1.29s/step] Training: 77%|███████▋ | 54068/70000 [19:08:49<5:45:14, 1.30s/step] Training: 77%|███████▋ | 54069/70000 [19:08:51<5:36:31, 1.27s/step] Training: 77%|███████▋ | 54070/70000 [19:08:52<5:30:07, 1.24s/step] Training: 77%|███████▋ | 54071/70000 [19:08:53<5:27:13, 1.23s/step] Training: 77%|███████▋ | 54072/70000 [19:08:54<5:34:37, 1.26s/step] Training: 77%|███████▋ | 54073/70000 [19:08:55<5:29:00, 1.24s/step] Training: 77%|███████▋ | 54074/70000 [19:08:57<5:36:08, 1.27s/step] Training: 77%|███████▋ | 54075/70000 [19:08:58<5:43:08, 1.29s/step] Training: 77%|███████▋ | 54076/70000 [19:08:59<5:46:28, 1.31s/step] Training: 77%|███████▋ | 54077/70000 [19:09:01<5:37:21, 1.27s/step] Training: 77%|███████▋ | 54078/70000 [19:09:02<5:30:44, 1.25s/step] Training: 77%|███████▋ | 54079/70000 [19:09:03<5:28:37, 1.24s/step] Training: 77%|███████▋ | 54080/70000 [19:09:04<5:28:21, 1.24s/step] Training: 77%|███████▋ | 54081/70000 [19:09:06<5:24:23, 1.22s/step] Training: 77%|███████▋ | 54082/70000 [19:09:07<5:32:15, 1.25s/step] Training: 77%|███████▋ | 54083/70000 [19:09:08<5:27:04, 1.23s/step] Training: 77%|███████▋ | 54084/70000 [19:09:09<5:36:53, 1.27s/step] Training: 77%|███████▋ | 54085/70000 [19:09:11<5:29:55, 1.24s/step] Training: 77%|███████▋ | 54086/70000 [19:09:12<5:24:55, 1.23s/step] Training: 77%|███████▋ | 54087/70000 [19:09:13<5:21:51, 1.21s/step] Training: 77%|███████▋ | 54088/70000 [19:09:14<5:31:22, 1.25s/step] Training: 77%|███████▋ | 54089/70000 [19:09:15<5:26:51, 1.23s/step] Training: 77%|███████▋ | 54090/70000 [19:09:17<5:36:18, 1.27s/step] Training: 77%|███████▋ | 54091/70000 [19:09:18<5:30:12, 1.25s/step] Training: 77%|███████▋ | 54092/70000 [19:09:19<5:36:52, 1.27s/step] Training: 77%|███████▋ | 54093/70000 [19:09:21<5:38:29, 1.28s/step] Training: 77%|███████▋ | 54094/70000 [19:09:22<5:31:24, 1.25s/step] Training: 77%|███████▋ | 54095/70000 [19:09:23<5:36:42, 1.27s/step] Training: 77%|███████▋ | 54096/70000 [19:09:24<5:41:43, 1.29s/step] Training: 77%|███████▋ | 54097/70000 [19:09:26<5:35:02, 1.26s/step] Training: 77%|███████▋ | 54098/70000 [19:09:27<5:39:58, 1.28s/step] Training: 77%|███████▋ | 54099/70000 [19:09:28<5:32:39, 1.26s/step] Training: 77%|███████▋ | 54100/70000 [19:09:30<5:46:11, 1.31s/step]INFO 2026-03-13 15:19:22 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.86 loss:0.008 grdn:0.704 lr:3.9e-06 updt_s:1.238 data_s:0.019 Training: 77%|███████▋ | 54101/70000 [19:09:31<5:36:51, 1.27s/step] Training: 77%|███████▋ | 54102/70000 [19:09:32<5:30:23, 1.25s/step] Training: 77%|███████▋ | 54103/70000 [19:09:33<5:26:55, 1.23s/step] Training: 77%|███████▋ | 54104/70000 [19:09:35<5:36:39, 1.27s/step] Training: 77%|███████▋ | 54105/70000 [19:09:36<5:30:16, 1.25s/step] Training: 77%|███████▋ | 54106/70000 [19:09:37<5:37:55, 1.28s/step] Training: 77%|███████▋ | 54107/70000 [19:09:38<5:31:07, 1.25s/step] Training: 77%|███████▋ | 54108/70000 [19:09:39<5:27:45, 1.24s/step] Training: 77%|███████▋ | 54109/70000 [19:09:41<5:24:06, 1.22s/step] Training: 77%|███████▋ | 54110/70000 [19:09:42<5:21:19, 1.21s/step] Training: 77%|███████▋ | 54111/70000 [19:09:43<5:22:51, 1.22s/step] Training: 77%|███████▋ | 54112/70000 [19:09:44<5:24:28, 1.23s/step] Training: 77%|███████▋ | 54113/70000 [19:09:46<5:21:35, 1.21s/step] Training: 77%|███████▋ | 54114/70000 [19:09:47<5:31:06, 1.25s/step] Training: 77%|███████▋ | 54115/70000 [19:09:48<5:26:26, 1.23s/step] Training: 77%|███████▋ | 54116/70000 [19:09:49<5:38:40, 1.28s/step] Training: 77%|███████▋ | 54117/70000 [19:09:51<5:30:38, 1.25s/step] Training: 77%|███████▋ | 54118/70000 [19:09:52<5:25:47, 1.23s/step] Training: 77%|███████▋ | 54119/70000 [19:09:53<5:22:25, 1.22s/step] Training: 77%|███████▋ | 54120/70000 [19:09:54<5:33:42, 1.26s/step] Training: 77%|███████▋ | 54121/70000 [19:09:56<5:28:22, 1.24s/step] Training: 77%|███████▋ | 54122/70000 [19:09:57<5:37:13, 1.27s/step] Training: 77%|███████▋ | 54123/70000 [19:09:58<5:30:28, 1.25s/step] Training: 77%|███████▋ | 54124/70000 [19:09:59<5:28:56, 1.24s/step] Training: 77%|███████▋ | 54125/70000 [19:10:01<5:32:30, 1.26s/step] Training: 77%|███████▋ | 54126/70000 [19:10:02<5:27:04, 1.24s/step] Training: 77%|███████▋ | 54127/70000 [19:10:03<5:33:58, 1.26s/step] Training: 77%|███████▋ | 54128/70000 [19:10:04<5:38:48, 1.28s/step] Training: 77%|███████▋ | 54129/70000 [19:10:06<5:31:45, 1.25s/step] Training: 77%|███████▋ | 54130/70000 [19:10:07<5:37:10, 1.27s/step] Training: 77%|███████▋ | 54131/70000 [19:10:08<5:30:16, 1.25s/step] Training: 77%|███████▋ | 54132/70000 [19:10:09<5:37:50, 1.28s/step] Training: 77%|███████▋ | 54133/70000 [19:10:11<5:42:55, 1.30s/step] Training: 77%|███████▋ | 54134/70000 [19:10:12<5:35:05, 1.27s/step] Training: 77%|███████▋ | 54135/70000 [19:10:13<5:30:54, 1.25s/step] Training: 77%|███████▋ | 54136/70000 [19:10:15<5:36:26, 1.27s/step] Training: 77%|███████▋ | 54137/70000 [19:10:16<5:29:45, 1.25s/step] Training: 77%|███████▋ | 54138/70000 [19:10:17<5:36:07, 1.27s/step] Training: 77%|███████▋ | 54139/70000 [19:10:18<5:29:38, 1.25s/step] Training: 77%|███████▋ | 54140/70000 [19:10:20<5:39:22, 1.28s/step] Training: 77%|███████▋ | 54141/70000 [19:10:21<5:41:12, 1.29s/step] Training: 77%|███████▋ | 54142/70000 [19:10:22<5:32:47, 1.26s/step] Training: 77%|███████▋ | 54143/70000 [19:10:23<5:29:44, 1.25s/step] Training: 77%|███████▋ | 54144/70000 [19:10:25<5:29:03, 1.25s/step] Training: 77%|███████▋ | 54145/70000 [19:10:26<5:24:44, 1.23s/step] Training: 77%|███████▋ | 54146/70000 [19:10:27<5:32:29, 1.26s/step] Training: 77%|███████▋ | 54147/70000 [19:10:28<5:27:05, 1.24s/step] Training: 77%|███████▋ | 54148/70000 [19:10:30<5:29:15, 1.25s/step] Training: 77%|███████▋ | 54149/70000 [19:10:31<5:37:10, 1.28s/step] Training: 77%|███████▋ | 54150/70000 [19:10:32<5:29:24, 1.25s/step] Training: 77%|███████▋ | 54151/70000 [19:10:33<5:24:44, 1.23s/step] Training: 77%|███████▋ | 54152/70000 [19:10:35<5:34:56, 1.27s/step] Training: 77%|███████▋ | 54153/70000 [19:10:36<5:28:46, 1.24s/step] Training: 77%|███████▋ | 54154/70000 [19:10:37<5:38:26, 1.28s/step] Training: 77%|███████▋ | 54155/70000 [19:10:38<5:31:00, 1.25s/step] Training: 77%|███████▋ | 54156/70000 [19:10:40<5:26:50, 1.24s/step] Training: 77%|███████▋ | 54157/70000 [19:10:41<5:32:50, 1.26s/step] Training: 77%|███████▋ | 54158/70000 [19:10:42<5:47:58, 1.32s/step] Training: 77%|███████▋ | 54159/70000 [19:10:44<5:36:51, 1.28s/step] Training: 77%|███████▋ | 54160/70000 [19:10:45<5:41:24, 1.29s/step] Training: 77%|███████▋ | 54161/70000 [19:10:46<5:33:02, 1.26s/step] Training: 77%|███████▋ | 54162/70000 [19:10:47<5:38:07, 1.28s/step] Training: 77%|███████▋ | 54163/70000 [19:10:49<5:30:32, 1.25s/step] Training: 77%|███████▋ | 54164/70000 [19:10:50<5:36:11, 1.27s/step] Training: 77%|███████▋ | 54165/70000 [19:10:51<5:29:28, 1.25s/step] Training: 77%|███████▋ | 54166/70000 [19:10:52<5:37:01, 1.28s/step] Training: 77%|███████▋ | 54167/70000 [19:10:54<5:38:25, 1.28s/step] Training: 77%|███████▋ | 54168/70000 [19:10:55<5:41:28, 1.29s/step] Training: 77%|███████▋ | 54169/70000 [19:10:56<5:33:13, 1.26s/step] Training: 77%|███████▋ | 54170/70000 [19:10:58<5:39:30, 1.29s/step] Training: 77%|███████▋ | 54171/70000 [19:10:59<5:31:56, 1.26s/step] Training: 77%|███████▋ | 54172/70000 [19:11:00<5:37:31, 1.28s/step] Training: 77%|███████▋ | 54173/70000 [19:11:01<5:30:04, 1.25s/step] Training: 77%|███████▋ | 54174/70000 [19:11:02<5:25:21, 1.23s/step] Training: 77%|███████▋ | 54175/70000 [19:11:04<5:31:52, 1.26s/step] Training: 77%|███████▋ | 54176/70000 [19:11:05<5:30:48, 1.25s/step] Training: 77%|███████▋ | 54177/70000 [19:11:06<5:25:25, 1.23s/step] Training: 77%|███████▋ | 54178/70000 [19:11:08<5:34:29, 1.27s/step] Training: 77%|███████▋ | 54179/70000 [19:11:09<5:28:58, 1.25s/step] Training: 77%|███████▋ | 54180/70000 [19:11:10<5:30:57, 1.26s/step] Training: 77%|███████▋ | 54181/70000 [19:11:11<5:25:52, 1.24s/step] Training: 77%|███████▋ | 54182/70000 [19:11:12<5:24:35, 1.23s/step] Training: 77%|███████▋ | 54183/70000 [19:11:14<5:23:05, 1.23s/step] Training: 77%|███████▋ | 54184/70000 [19:11:15<5:24:19, 1.23s/step] Training: 77%|███████▋ | 54185/70000 [19:11:16<5:21:36, 1.22s/step] Training: 77%|███████▋ | 54186/70000 [19:11:17<5:33:31, 1.27s/step] Training: 77%|███████▋ | 54187/70000 [19:11:19<5:27:35, 1.24s/step] Training: 77%|███████▋ | 54188/70000 [19:11:20<5:24:58, 1.23s/step] Training: 77%|███████▋ | 54189/70000 [19:11:21<5:29:43, 1.25s/step] Training: 77%|███████▋ | 54190/70000 [19:11:22<5:30:25, 1.25s/step] Training: 77%|███████▋ | 54191/70000 [19:11:24<5:36:02, 1.28s/step] Training: 77%|███████▋ | 54192/70000 [19:11:25<5:29:04, 1.25s/step] Training: 77%|███████▋ | 54193/70000 [19:11:26<5:34:38, 1.27s/step] Training: 77%|███████▋ | 54194/70000 [19:11:28<5:39:12, 1.29s/step] Training: 77%|███████▋ | 54195/70000 [19:11:29<5:31:37, 1.26s/step] Training: 77%|███████▋ | 54196/70000 [19:11:30<5:37:55, 1.28s/step] Training: 77%|███████▋ | 54197/70000 [19:11:31<5:30:35, 1.26s/step] Training: 77%|███████▋ | 54198/70000 [19:11:32<5:25:04, 1.23s/step] Training: 77%|███████▋ | 54199/70000 [19:11:34<5:38:32, 1.29s/step] Training: 77%|███████▋ | 54200/70000 [19:11:35<5:30:52, 1.26s/step]INFO 2026-03-13 15:21:27 ot_train.py:435 step:54K smpl:3M ep:12K epch:45.94 loss:0.008 grdn:0.912 lr:3.9e-06 updt_s:1.234 data_s:0.019 Training: 77%|███████▋ | 54201/70000 [19:11:36<5:25:34, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=4288 Training: 77%|███████▋ | 54202/70000 [19:11:38<5:32:29, 1.26s/step] Training: 77%|███████▋ | 54203/70000 [19:11:39<5:26:44, 1.24s/step] Training: 77%|███████▋ | 54204/70000 [19:11:40<5:33:53, 1.27s/step] Training: 77%|███████▋ | 54205/70000 [19:11:41<5:27:37, 1.24s/step] Training: 77%|███████▋ | 54206/70000 [19:11:42<5:23:08, 1.23s/step] Training: 77%|███████▋ | 54207/70000 [19:11:44<5:37:14, 1.28s/step] Training: 77%|███████▋ | 54208/70000 [19:11:45<5:32:53, 1.26s/step] Training: 77%|███████▋ | 54209/70000 [19:11:46<5:27:04, 1.24s/step] Training: 77%|███████▋ | 54210/70000 [19:11:48<5:35:06, 1.27s/step] Training: 77%|███████▋ | 54211/70000 [19:11:49<5:28:42, 1.25s/step] Training: 77%|███████▋ | 54212/70000 [19:11:50<5:29:23, 1.25s/step] Training: 77%|███████▋ | 54213/70000 [19:11:51<5:24:48, 1.23s/step] Training: 77%|███████▋ | 54214/70000 [19:11:52<5:21:01, 1.22s/step] Training: 77%|███████▋ | 54215/70000 [19:11:54<5:20:30, 1.22s/step] Training: 77%|███████▋ | 54216/70000 [19:11:55<5:30:43, 1.26s/step] Training: 77%|███████▋ | 54217/70000 [19:11:56<5:24:53, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=4288 Training: 77%|███████▋ | 54218/70000 [19:11:58<5:34:51, 1.27s/step] Training: 77%|███████▋ | 54219/70000 [19:11:59<5:28:06, 1.25s/step] Training: 77%|███████▋ | 54220/70000 [19:12:00<5:25:02, 1.24s/step] Training: 77%|███████▋ | 54221/70000 [19:12:01<5:30:41, 1.26s/step] Training: 77%|███████▋ | 54222/70000 [19:12:03<5:25:36, 1.24s/step] Training: 77%|███████▋ | 54223/70000 [19:12:04<5:35:52, 1.28s/step] Training: 77%|███████▋ | 54224/70000 [19:12:05<5:40:07, 1.29s/step] Training: 77%|███████▋ | 54225/70000 [19:12:06<5:31:43, 1.26s/step] Training: 77%|███████▋ | 54226/70000 [19:12:08<5:37:11, 1.28s/step] Training: 77%|███████▋ | 54227/70000 [19:12:09<5:29:52, 1.25s/step] Training: 77%|███████▋ | 54228/70000 [19:12:10<5:35:30, 1.28s/step] Training: 77%|███████▋ | 54229/70000 [19:12:11<5:28:42, 1.25s/step] Training: 77%|███████▋ | 54230/70000 [19:12:13<5:23:58, 1.23s/step] Training: 77%|███████▋ | 54231/70000 [19:12:14<5:30:56, 1.26s/step] Training: 77%|███████▋ | 54232/70000 [19:12:15<5:46:40, 1.32s/step] Training: 77%|███████▋ | 54233/70000 [19:12:17<5:36:59, 1.28s/step] Training: 77%|███████▋ | 54234/70000 [19:12:18<5:40:01, 1.29s/step] Training: 77%|███████▋ | 54235/70000 [19:12:19<5:31:56, 1.26s/step] Training: 77%|███████▋ | 54236/70000 [19:12:20<5:39:39, 1.29s/step] Training: 77%|███████▋ | 54237/70000 [19:12:22<5:32:01, 1.26s/step] Training: 77%|███████▋ | 54238/70000 [19:12:23<5:26:05, 1.24s/step] Training: 77%|███████▋ | 54239/70000 [19:12:24<5:24:46, 1.24s/step] Training: 77%|███████▋ | 54240/70000 [19:12:25<5:34:24, 1.27s/step] Training: 77%|███████▋ | 54241/70000 [19:12:27<5:27:07, 1.25s/step] Training: 77%|███████▋ | 54242/70000 [19:12:28<5:34:36, 1.27s/step] Training: 77%|███████▋ | 54243/70000 [19:12:29<5:27:58, 1.25s/step] Training: 77%|███████▋ | 54244/70000 [19:12:30<5:28:30, 1.25s/step] Training: 77%|███████▋ | 54245/70000 [19:12:32<5:23:45, 1.23s/step] Training: 77%|███████▋ | 54246/70000 [19:12:33<5:20:00, 1.22s/step] Training: 77%|███████▋ | 54247/70000 [19:12:34<5:19:28, 1.22s/step] Training: 77%|███████▋ | 54248/70000 [19:12:35<5:20:48, 1.22s/step] Training: 77%|███████▋ | 54249/70000 [19:12:36<5:18:33, 1.21s/step] Training: 78%|███████▊ | 54250/70000 [19:12:38<5:28:45, 1.25s/step] Training: 78%|███████▊ | 54251/70000 [19:12:39<5:23:41, 1.23s/step] Training: 78%|███████▊ | 54252/70000 [19:12:40<5:21:19, 1.22s/step] Training: 78%|███████▊ | 54253/70000 [19:12:41<5:27:39, 1.25s/step] Training: 78%|███████▊ | 54254/70000 [19:12:43<5:23:33, 1.23s/step] Training: 78%|███████▊ | 54255/70000 [19:12:44<5:31:08, 1.26s/step] Training: 78%|███████▊ | 54256/70000 [19:12:45<5:28:45, 1.25s/step] Training: 78%|███████▊ | 54257/70000 [19:12:47<5:35:56, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=4288 Training: 78%|███████▊ | 54258/70000 [19:12:48<5:39:38, 1.29s/step] Training: 78%|███████▊ | 54259/70000 [19:12:49<5:31:21, 1.26s/step] Training: 78%|███████▊ | 54260/70000 [19:12:50<5:36:26, 1.28s/step] Training: 78%|███████▊ | 54261/70000 [19:12:52<5:29:09, 1.25s/step] Training: 78%|███████▊ | 54262/70000 [19:12:53<5:24:05, 1.24s/step] Training: 78%|███████▊ | 54263/70000 [19:12:54<5:31:52, 1.27s/step] Training: 78%|███████▊ | 54264/70000 [19:12:55<5:31:24, 1.26s/step] Training: 78%|███████▊ | 54265/70000 [19:12:57<5:28:01, 1.25s/step] Training: 78%|███████▊ | 54266/70000 [19:12:58<5:34:01, 1.27s/step] Training: 78%|███████▊ | 54267/70000 [19:12:59<5:37:25, 1.29s/step] Training: 78%|███████▊ | 54268/70000 [19:13:01<5:42:18, 1.31s/step] Training: 78%|███████▊ | 54269/70000 [19:13:02<5:33:22, 1.27s/step] Training: 78%|███████▊ | 54270/70000 [19:13:03<5:26:57, 1.25s/step] Training: 78%|███████▊ | 54271/70000 [19:13:04<5:34:11, 1.27s/step] Training: 78%|███████▊ | 54272/70000 [19:13:06<5:27:11, 1.25s/step] Training: 78%|███████▊ | 54273/70000 [19:13:07<5:36:04, 1.28s/step] Training: 78%|███████▊ | 54274/70000 [19:13:08<5:38:55, 1.29s/step] Training: 78%|███████▊ | 54275/70000 [19:13:09<5:33:31, 1.27s/step] Training: 78%|███████▊ | 54276/70000 [19:13:11<5:33:32, 1.27s/step] Training: 78%|███████▊ | 54277/70000 [19:13:12<5:26:50, 1.25s/step] Training: 78%|███████▊ | 54278/70000 [19:13:13<5:21:55, 1.23s/step] Training: 78%|███████▊ | 54279/70000 [19:13:14<5:20:11, 1.22s/step] Training: 78%|███████▊ | 54280/70000 [19:13:16<6:36:45, 1.51s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 78%|███████▊ | 54281/70000 [19:13:21<10:15:28, 2.35s/step] Training: 78%|███████▊ | 54282/70000 [19:13:22<8:59:11, 2.06s/step] Training: 78%|███████▊ | 54283/70000 [19:13:23<7:56:12, 1.82s/step] Training: 78%|███████▊ | 54284/70000 [19:13:25<7:11:55, 1.65s/step] Training: 78%|███████▊ | 54285/70000 [19:13:26<6:44:56, 1.55s/step] Training: 78%|███████▊ | 54286/70000 [19:13:27<6:17:17, 1.44s/step] Training: 78%|███████▊ | 54287/70000 [19:13:28<5:57:34, 1.37s/step] Training: 78%|███████▊ | 54288/70000 [19:13:30<5:58:17, 1.37s/step] Training: 78%|███████▊ | 54289/70000 [19:13:31<5:58:27, 1.37s/step] Training: 78%|███████▊ | 54290/70000 [19:13:32<5:54:50, 1.36s/step] Training: 78%|███████▊ | 54291/70000 [19:13:34<5:52:42, 1.35s/step] Training: 78%|███████▊ | 54292/70000 [19:13:35<5:51:20, 1.34s/step] Training: 78%|███████▊ | 54293/70000 [19:13:36<5:39:05, 1.30s/step] Training: 78%|███████▊ | 54294/70000 [19:13:37<5:30:34, 1.26s/step] Training: 78%|███████▊ | 54295/70000 [19:13:39<5:24:55, 1.24s/step] Training: 78%|███████▊ | 54296/70000 [19:13:40<5:29:24, 1.26s/step] Training: 78%|███████▊ | 54297/70000 [19:13:41<5:37:04, 1.29s/step] Training: 78%|███████▊ | 54298/70000 [19:13:43<5:48:28, 1.33s/step] Training: 78%|███████▊ | 54299/70000 [19:13:44<5:48:05, 1.33s/step] Training: 78%|███████▊ | 54300/70000 [19:13:45<5:50:40, 1.34s/step]INFO 2026-03-13 15:23:38 ot_train.py:435 step:54K smpl:3M ep:12K epch:46.02 loss:0.008 grdn:0.648 lr:3.9e-06 updt_s:1.244 data_s:0.057 Training: 78%|███████▊ | 54301/70000 [19:13:47<5:38:52, 1.30s/step] Training: 78%|███████▊ | 54302/70000 [19:13:48<5:31:03, 1.27s/step] Training: 78%|███████▊ | 54303/70000 [19:13:49<5:25:16, 1.24s/step] Training: 78%|███████▊ | 54304/70000 [19:13:50<5:20:54, 1.23s/step] Training: 78%|███████▊ | 54305/70000 [19:13:51<5:18:04, 1.22s/step] Training: 78%|███████▊ | 54306/70000 [19:13:53<5:35:37, 1.28s/step] Training: 78%|███████▊ | 54307/70000 [19:13:54<5:38:21, 1.29s/step] Training: 78%|███████▊ | 54308/70000 [19:13:55<5:36:21, 1.29s/step] Training: 78%|███████▊ | 54309/70000 [19:13:57<5:29:06, 1.26s/step] Training: 78%|███████▊ | 54310/70000 [19:13:58<5:23:42, 1.24s/step] Training: 78%|███████▊ | 54311/70000 [19:13:59<5:19:50, 1.22s/step] Training: 78%|███████▊ | 54312/70000 [19:14:00<5:25:59, 1.25s/step] Training: 78%|███████▊ | 54313/70000 [19:14:01<5:21:32, 1.23s/step] Training: 78%|███████▊ | 54314/70000 [19:14:03<5:30:27, 1.26s/step] Training: 78%|███████▊ | 54315/70000 [19:14:04<5:33:35, 1.28s/step] Training: 78%|███████▊ | 54316/70000 [19:14:05<5:28:26, 1.26s/step] Training: 78%|███████▊ | 54317/70000 [19:14:07<5:32:12, 1.27s/step] Training: 78%|███████▊ | 54318/70000 [19:14:08<5:26:24, 1.25s/step] Training: 78%|███████▊ | 54319/70000 [19:14:09<5:21:49, 1.23s/step] Training: 78%|███████▊ | 54320/70000 [19:14:10<5:29:08, 1.26s/step] Training: 78%|███████▊ | 54321/70000 [19:14:12<5:23:33, 1.24s/step] Training: 78%|███████▊ | 54322/70000 [19:14:13<5:39:37, 1.30s/step] Training: 78%|███████▊ | 54323/70000 [19:14:14<5:48:20, 1.33s/step] Training: 78%|███████▊ | 54324/70000 [19:14:16<5:47:37, 1.33s/step] Training: 78%|███████▊ | 54325/70000 [19:14:17<5:36:35, 1.29s/step] Training: 78%|███████▊ | 54326/70000 [19:14:18<5:28:42, 1.26s/step] Training: 78%|███████▊ | 54327/70000 [19:14:19<5:23:09, 1.24s/step] Training: 78%|███████▊ | 54328/70000 [19:14:20<5:21:05, 1.23s/step] Training: 78%|███████▊ | 54329/70000 [19:14:22<5:17:56, 1.22s/step] Training: 78%|███████▊ | 54330/70000 [19:14:23<5:29:22, 1.26s/step] Training: 78%|███████▊ | 54331/70000 [19:14:24<5:42:39, 1.31s/step] Training: 78%|███████▊ | 54332/70000 [19:14:26<5:47:36, 1.33s/step] Training: 78%|███████▊ | 54333/70000 [19:14:27<5:36:18, 1.29s/step] Training: 78%|███████▊ | 54334/70000 [19:14:28<5:28:40, 1.26s/step] Training: 78%|███████▊ | 54335/70000 [19:14:29<5:23:27, 1.24s/step] Training: 78%|███████▊ | 54336/70000 [19:14:31<5:30:12, 1.26s/step] Training: 78%|███████▊ | 54337/70000 [19:14:32<5:24:24, 1.24s/step] Training: 78%|███████▊ | 54338/70000 [19:14:33<5:31:25, 1.27s/step] Training: 78%|███████▊ | 54339/70000 [19:14:35<5:35:48, 1.29s/step] Training: 78%|███████▊ | 54340/70000 [19:14:36<5:33:00, 1.28s/step] Training: 78%|███████▊ | 54341/70000 [19:14:37<5:26:29, 1.25s/step] Training: 78%|███████▊ | 54342/70000 [19:14:38<5:21:40, 1.23s/step] Training: 78%|███████▊ | 54343/70000 [19:14:39<5:18:12, 1.22s/step] Training: 78%|███████▊ | 54344/70000 [19:14:41<5:26:39, 1.25s/step] Training: 78%|███████▊ | 54345/70000 [19:14:42<5:21:46, 1.23s/step] Training: 78%|███████▊ | 54346/70000 [19:14:43<5:30:39, 1.27s/step] Training: 78%|███████▊ | 54347/70000 [19:14:45<5:36:27, 1.29s/step] Training: 78%|███████▊ | 54348/70000 [19:14:46<5:38:42, 1.30s/step] Training: 78%|███████▊ | 54349/70000 [19:14:47<5:30:06, 1.27s/step] Training: 78%|███████▊ | 54350/70000 [19:14:48<5:24:08, 1.24s/step] Training: 78%|███████▊ | 54351/70000 [19:14:49<5:19:40, 1.23s/step] Training: 78%|███████▊ | 54352/70000 [19:14:51<5:27:21, 1.26s/step] Training: 78%|███████▊ | 54353/70000 [19:14:52<5:22:09, 1.24s/step] Training: 78%|███████▊ | 54354/70000 [19:14:53<5:33:21, 1.28s/step] Training: 78%|███████▊ | 54355/70000 [19:14:55<5:43:34, 1.32s/step] Training: 78%|███████▊ | 54356/70000 [19:14:56<5:43:44, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=75436 Training: 78%|███████▊ | 54357/70000 [19:14:57<5:33:58, 1.28s/step] Training: 78%|███████▊ | 54358/70000 [19:14:58<5:26:37, 1.25s/step] Training: 78%|███████▊ | 54359/70000 [19:15:00<5:21:30, 1.23s/step] Training: 78%|███████▊ | 54360/70000 [19:15:01<5:19:36, 1.23s/step] Training: 78%|███████▊ | 54361/70000 [19:15:02<5:16:50, 1.22s/step] Training: 78%|███████▊ | 54362/70000 [19:15:03<5:27:06, 1.26s/step] Training: 78%|███████▊ | 54363/70000 [19:15:05<5:36:01, 1.29s/step] Training: 78%|███████▊ | 54364/70000 [19:15:06<5:41:01, 1.31s/step] Training: 78%|███████▊ | 54365/70000 [19:15:07<5:31:27, 1.27s/step] Training: 78%|███████▊ | 54366/70000 [19:15:09<5:24:41, 1.25s/step] Training: 78%|███████▊ | 54367/70000 [19:15:10<5:20:12, 1.23s/step] Training: 78%|███████▊ | 54368/70000 [19:15:11<5:27:59, 1.26s/step] Training: 78%|███████▊ | 54369/70000 [19:15:12<5:22:17, 1.24s/step] Training: 78%|███████▊ | 54370/70000 [19:15:14<5:29:26, 1.26s/step] Training: 78%|███████▊ | 54371/70000 [19:15:15<5:34:12, 1.28s/step] Training: 78%|███████▊ | 54372/70000 [19:15:16<5:38:45, 1.30s/step] Training: 78%|███████▊ | 54373/70000 [19:15:17<5:29:42, 1.27s/step] Training: 78%|███████▊ | 54374/70000 [19:15:19<5:23:41, 1.24s/step] Training: 78%|███████▊ | 54375/70000 [19:15:20<5:19:57, 1.23s/step] Training: 78%|███████▊ | 54376/70000 [19:15:21<5:27:35, 1.26s/step] Training: 78%|███████▊ | 54377/70000 [19:15:22<5:22:06, 1.24s/step] Training: 78%|███████▊ | 54378/70000 [19:15:24<5:37:16, 1.30s/step] Training: 78%|███████▊ | 54379/70000 [19:15:25<5:30:13, 1.27s/step] Training: 78%|███████▊ | 54380/70000 [19:15:26<5:44:46, 1.32s/step] Training: 78%|███████▊ | 54381/70000 [19:15:28<5:34:19, 1.28s/step] Training: 78%|███████▊ | 54382/70000 [19:15:29<5:26:51, 1.26s/step] Training: 78%|███████▊ | 54383/70000 [19:15:30<5:21:36, 1.24s/step] Training: 78%|███████▊ | 54384/70000 [19:15:31<5:28:19, 1.26s/step] Training: 78%|███████▊ | 54385/70000 [19:15:32<5:22:45, 1.24s/step] Training: 78%|███████▊ | 54386/70000 [19:15:34<5:24:11, 1.25s/step] Training: 78%|███████▊ | 54387/70000 [19:15:35<5:30:37, 1.27s/step] Training: 78%|███████▊ | 54388/70000 [19:15:36<5:35:25, 1.29s/step] Training: 78%|███████▊ | 54389/70000 [19:15:38<5:27:43, 1.26s/step] Training: 78%|███████▊ | 54390/70000 [19:15:39<5:22:03, 1.24s/step] Training: 78%|███████▊ | 54391/70000 [19:15:40<5:18:07, 1.22s/step] Training: 78%|███████▊ | 54392/70000 [19:15:41<5:18:22, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=75436 Training: 78%|███████▊ | 54393/70000 [19:15:42<5:15:33, 1.21s/step] Training: 78%|███████▊ | 54394/70000 [19:15:44<5:25:22, 1.25s/step] Training: 78%|███████▊ | 54395/70000 [19:15:45<5:31:17, 1.27s/step] Training: 78%|███████▊ | 54396/70000 [19:15:46<5:38:01, 1.30s/step] Training: 78%|███████▊ | 54397/70000 [19:15:48<5:29:22, 1.27s/step] Training: 78%|███████▊ | 54398/70000 [19:15:49<5:23:13, 1.24s/step] Training: 78%|███████▊ | 54399/70000 [19:15:50<5:19:18, 1.23s/step] Training: 78%|███████▊ | 54400/70000 [19:15:51<5:26:47, 1.26s/step]INFO 2026-03-13 15:25:43 ot_train.py:435 step:54K smpl:3M ep:12K epch:46.11 loss:0.008 grdn:0.765 lr:3.8e-06 updt_s:1.238 data_s:0.019 Training: 78%|███████▊ | 54401/70000 [19:15:52<5:21:17, 1.24s/step] Training: 78%|███████▊ | 54402/70000 [19:15:54<5:32:22, 1.28s/step] Training: 78%|███████▊ | 54403/70000 [19:15:55<5:36:40, 1.30s/step] Training: 78%|███████▊ | 54404/70000 [19:15:57<5:38:03, 1.30s/step] Training: 78%|███████▊ | 54405/70000 [19:15:58<5:28:25, 1.26s/step] Training: 78%|███████▊ | 54406/70000 [19:15:59<5:22:35, 1.24s/step] Training: 78%|███████▊ | 54407/70000 [19:16:00<5:18:30, 1.23s/step] Training: 78%|███████▊ | 54408/70000 [19:16:01<5:27:04, 1.26s/step] Training: 78%|███████▊ | 54409/70000 [19:16:03<5:21:30, 1.24s/step] Training: 78%|███████▊ | 54410/70000 [19:16:04<5:32:35, 1.28s/step] Training: 78%|███████▊ | 54411/70000 [19:16:05<5:27:24, 1.26s/step] Training: 78%|███████▊ | 54412/70000 [19:16:07<5:33:09, 1.28s/step] Training: 78%|███████▊ | 54413/70000 [19:16:08<5:38:05, 1.30s/step] Training: 78%|███████▊ | 54414/70000 [19:16:09<5:28:52, 1.27s/step] Training: 78%|███████▊ | 54415/70000 [19:16:10<5:22:54, 1.24s/step] Training: 78%|███████▊ | 54416/70000 [19:16:12<5:29:41, 1.27s/step] Training: 78%|███████▊ | 54417/70000 [19:16:13<5:23:24, 1.25s/step] Training: 78%|███████▊ | 54418/70000 [19:16:14<5:33:45, 1.29s/step] Training: 78%|███████▊ | 54419/70000 [19:16:15<5:37:29, 1.30s/step] Training: 78%|███████▊ | 54420/70000 [19:16:17<5:39:38, 1.31s/step] Training: 78%|███████▊ | 54421/70000 [19:16:18<5:35:34, 1.29s/step] Training: 78%|███████▊ | 54422/70000 [19:16:19<5:27:28, 1.26s/step] Training: 78%|███████▊ | 54423/70000 [19:16:20<5:21:45, 1.24s/step] Training: 78%|███████▊ | 54424/70000 [19:16:22<5:18:55, 1.23s/step] Training: 78%|███████▊ | 54425/70000 [19:16:23<5:15:54, 1.22s/step] Training: 78%|███████▊ | 54426/70000 [19:16:24<5:24:48, 1.25s/step] Training: 78%|███████▊ | 54427/70000 [19:16:25<5:30:37, 1.27s/step] Training: 78%|███████▊ | 54428/70000 [19:16:27<5:38:34, 1.30s/step] Training: 78%|███████▊ | 54429/70000 [19:16:28<5:29:54, 1.27s/step] Training: 78%|███████▊ | 54430/70000 [19:16:29<5:35:15, 1.29s/step] Training: 78%|███████▊ | 54431/70000 [19:16:31<5:27:00, 1.26s/step] Training: 78%|███████▊ | 54432/70000 [19:16:32<5:31:26, 1.28s/step] Training: 78%|███████▊ | 54433/70000 [19:16:33<5:24:55, 1.25s/step] Training: 78%|███████▊ | 54434/70000 [19:16:34<5:36:38, 1.30s/step] Training: 78%|███████▊ | 54435/70000 [19:16:36<5:38:53, 1.31s/step] Training: 78%|███████▊ | 54436/70000 [19:16:37<5:34:41, 1.29s/step] Training: 78%|███████▊ | 54437/70000 [19:16:38<5:40:45, 1.31s/step] Training: 78%|███████▊ | 54438/70000 [19:16:40<5:30:04, 1.27s/step] Training: 78%|███████▊ | 54439/70000 [19:16:41<5:23:37, 1.25s/step] Training: 78%|███████▊ | 54440/70000 [19:16:42<5:29:34, 1.27s/step] Training: 78%|███████▊ | 54441/70000 [19:16:43<5:23:10, 1.25s/step] Training: 78%|███████▊ | 54442/70000 [19:16:45<5:33:06, 1.28s/step] Training: 78%|███████▊ | 54443/70000 [19:16:46<5:27:01, 1.26s/step] Training: 78%|███████▊ | 54444/70000 [19:16:47<5:32:11, 1.28s/step] Training: 78%|███████▊ | 54445/70000 [19:16:48<5:25:21, 1.26s/step] Training: 78%|███████▊ | 54446/70000 [19:16:50<5:31:48, 1.28s/step] Training: 78%|███████▊ | 54447/70000 [19:16:51<5:24:07, 1.25s/step] Training: 78%|███████▊ | 54448/70000 [19:16:52<5:22:09, 1.24s/step] Training: 78%|███████▊ | 54449/70000 [19:16:53<5:18:09, 1.23s/step] Training: 78%|███████▊ | 54450/70000 [19:16:55<5:31:03, 1.28s/step] Training: 78%|███████▊ | 54451/70000 [19:16:56<5:34:31, 1.29s/step] Training: 78%|███████▊ | 54452/70000 [19:16:57<5:38:11, 1.31s/step] Training: 78%|███████▊ | 54453/70000 [19:16:59<5:29:25, 1.27s/step] Training: 78%|███████▊ | 54454/70000 [19:17:00<5:35:08, 1.29s/step] Training: 78%|███████▊ | 54455/70000 [19:17:01<5:26:24, 1.26s/step] Training: 78%|███████▊ | 54456/70000 [19:17:02<5:21:50, 1.24s/step] Training: 78%|███████▊ | 54457/70000 [19:17:04<5:17:57, 1.23s/step] Training: 78%|███████▊ | 54458/70000 [19:17:05<5:26:12, 1.26s/step] Training: 78%|███████▊ | 54459/70000 [19:17:06<5:32:10, 1.28s/step] Training: 78%|███████▊ | 54460/70000 [19:17:08<5:39:00, 1.31s/step] Training: 78%|███████▊ | 54461/70000 [19:17:09<5:29:42, 1.27s/step] Training: 78%|███████▊ | 54462/70000 [19:17:10<5:23:00, 1.25s/step] Training: 78%|███████▊ | 54463/70000 [19:17:11<5:18:30, 1.23s/step] Training: 78%|███████▊ | 54464/70000 [19:17:12<5:25:45, 1.26s/step] Training: 78%|███████▊ | 54465/70000 [19:17:14<5:20:28, 1.24s/step] Training: 78%|███████▊ | 54466/70000 [19:17:15<5:30:44, 1.28s/step] Training: 78%|███████▊ | 54467/70000 [19:17:16<5:34:41, 1.29s/step] Training: 78%|███████▊ | 54468/70000 [19:17:18<5:31:57, 1.28s/step] Training: 78%|███████▊ | 54469/70000 [19:17:19<5:24:56, 1.26s/step] Training: 78%|███████▊ | 54470/70000 [19:17:20<5:23:38, 1.25s/step] Training: 78%|███████▊ | 54471/70000 [19:17:21<5:18:55, 1.23s/step] Training: 78%|███████▊ | 54472/70000 [19:17:23<5:26:19, 1.26s/step] Training: 78%|███████▊ | 54473/70000 [19:17:24<5:21:06, 1.24s/step] Training: 78%|███████▊ | 54474/70000 [19:17:25<5:30:10, 1.28s/step] Training: 78%|███████▊ | 54475/70000 [19:17:26<5:25:02, 1.26s/step] Training: 78%|███████▊ | 54476/70000 [19:17:28<5:30:10, 1.28s/step] Training: 78%|███████▊ | 54477/70000 [19:17:29<5:23:18, 1.25s/step] Training: 78%|███████▊ | 54478/70000 [19:17:30<5:22:22, 1.25s/step] Training: 78%|███████▊ | 54479/70000 [19:17:31<5:17:26, 1.23s/step] Training: 78%|███████▊ | 54480/70000 [19:17:32<5:17:59, 1.23s/step] Training: 78%|███████▊ | 54481/70000 [19:17:34<5:14:52, 1.22s/step] Training: 78%|███████▊ | 54482/70000 [19:17:35<5:28:12, 1.27s/step] Training: 78%|███████▊ | 54483/70000 [19:17:36<5:32:20, 1.29s/step] Training: 78%|███████▊ | 54484/70000 [19:17:38<5:35:47, 1.30s/step] Training: 78%|███████▊ | 54485/70000 [19:17:39<5:27:21, 1.27s/step] Training: 78%|███████▊ | 54486/70000 [19:17:40<5:21:25, 1.24s/step] Training: 78%|███████▊ | 54487/70000 [19:17:41<5:29:27, 1.27s/step] Training: 78%|███████▊ | 54488/70000 [19:17:43<5:23:18, 1.25s/step] Training: 78%|███████▊ | 54489/70000 [19:17:44<5:18:43, 1.23s/step] Training: 78%|███████▊ | 54490/70000 [19:17:45<5:27:07, 1.27s/step] Training: 78%|███████▊ | 54491/70000 [19:17:47<5:32:16, 1.29s/step] Training: 78%|███████▊ | 54492/70000 [19:17:48<5:39:27, 1.31s/step] Training: 78%|███████▊ | 54493/70000 [19:17:49<5:29:48, 1.28s/step] Training: 78%|███████▊ | 54494/70000 [19:17:50<5:23:18, 1.25s/step] Training: 78%|███████▊ | 54495/70000 [19:17:52<5:25:25, 1.26s/step] Training: 78%|███████▊ | 54496/70000 [19:17:53<5:30:48, 1.28s/step] Training: 78%|███████▊ | 54497/70000 [19:17:54<5:24:02, 1.25s/step] Training: 78%|███████▊ | 54498/70000 [19:17:55<5:33:02, 1.29s/step] Training: 78%|███████▊ | 54499/70000 [19:17:57<5:36:04, 1.30s/step] Training: 78%|███████▊ | 54500/70000 [19:17:58<5:34:33, 1.30s/step]INFO 2026-03-13 15:27:50 ot_train.py:435 step:54K smpl:3M ep:12K epch:46.19 loss:0.008 grdn:0.580 lr:3.8e-06 updt_s:1.247 data_s:0.019 Training: 78%|███████▊ | 54501/70000 [19:17:59<5:27:11, 1.27s/step] Training: 78%|███████▊ | 54502/70000 [19:18:00<5:20:46, 1.24s/step] Training: 78%|███████▊ | 54503/70000 [19:18:02<5:28:52, 1.27s/step] Training: 78%|███████▊ | 54504/70000 [19:18:03<5:32:07, 1.29s/step] Training: 78%|███████▊ | 54505/70000 [19:18:04<5:24:44, 1.26s/step] Training: 78%|███████▊ | 54506/70000 [19:18:06<5:33:04, 1.29s/step] Training: 78%|███████▊ | 54507/70000 [19:18:07<5:26:19, 1.26s/step] Training: 78%|███████▊ | 54508/70000 [19:18:08<5:22:23, 1.25s/step] Training: 78%|███████▊ | 54509/70000 [19:18:09<5:26:02, 1.26s/step] Training: 78%|███████▊ | 54510/70000 [19:18:11<5:20:42, 1.24s/step] Training: 78%|███████▊ | 54511/70000 [19:18:12<5:28:57, 1.27s/step] Training: 78%|███████▊ | 54512/70000 [19:18:13<5:25:58, 1.26s/step] Training: 78%|███████▊ | 54513/70000 [19:18:14<5:20:10, 1.24s/step] Training: 78%|███████▊ | 54514/70000 [19:18:16<5:29:53, 1.28s/step] Training: 78%|███████▊ | 54515/70000 [19:18:17<5:33:42, 1.29s/step] Training: 78%|███████▊ | 54516/70000 [19:18:18<5:36:05, 1.30s/step] Training: 78%|███████▊ | 54517/70000 [19:18:20<5:27:17, 1.27s/step] Training: 78%|███████▊ | 54518/70000 [19:18:21<5:21:15, 1.25s/step] Training: 78%|███████▊ | 54519/70000 [19:18:22<5:16:38, 1.23s/step] Training: 78%|███████▊ | 54520/70000 [19:18:23<5:24:54, 1.26s/step] Training: 78%|███████▊ | 54521/70000 [19:18:24<5:18:51, 1.24s/step] Training: 78%|███████▊ | 54522/70000 [19:18:26<5:26:03, 1.26s/step] Training: 78%|███████▊ | 54523/70000 [19:18:27<5:31:19, 1.28s/step] Training: 78%|███████▊ | 54524/70000 [19:18:28<5:36:24, 1.30s/step] Training: 78%|███████▊ | 54525/70000 [19:18:30<5:27:37, 1.27s/step] Training: 78%|███████▊ | 54526/70000 [19:18:31<5:21:34, 1.25s/step] Training: 78%|███████▊ | 54527/70000 [19:18:32<5:16:41, 1.23s/step] Training: 78%|███████▊ | 54528/70000 [19:18:33<5:31:06, 1.28s/step] Training: 78%|███████▊ | 54529/70000 [19:18:35<5:23:49, 1.26s/step] Training: 78%|███████▊ | 54530/70000 [19:18:36<5:33:08, 1.29s/step] Training: 78%|███████▊ | 54531/70000 [19:18:37<5:35:32, 1.30s/step] Training: 78%|███████▊ | 54532/70000 [19:18:39<5:34:24, 1.30s/step] Training: 78%|███████▊ | 54533/70000 [19:18:40<5:26:12, 1.27s/step] Training: 78%|███████▊ | 54534/70000 [19:18:41<5:20:00, 1.24s/step] Training: 78%|███████▊ | 54535/70000 [19:18:42<5:15:57, 1.23s/step] Training: 78%|███████▊ | 54536/70000 [19:18:44<5:30:35, 1.28s/step] Training: 78%|███████▊ | 54537/70000 [19:18:45<5:22:52, 1.25s/step] Training: 78%|███████▊ | 54538/70000 [19:18:46<5:34:17, 1.30s/step] Training: 78%|███████▊ | 54539/70000 [19:18:47<5:27:24, 1.27s/step] Training: 78%|███████▊ | 54540/70000 [19:18:49<5:22:14, 1.25s/step] Training: 78%|███████▊ | 54541/70000 [19:18:50<5:26:36, 1.27s/step] Training: 78%|███████▊ | 54542/70000 [19:18:51<5:21:21, 1.25s/step] Training: 78%|███████▊ | 54543/70000 [19:18:52<5:16:37, 1.23s/step] Training: 78%|███████▊ | 54544/70000 [19:18:54<5:29:53, 1.28s/step] Training: 78%|███████▊ | 54545/70000 [19:18:55<5:22:07, 1.25s/step] Training: 78%|███████▊ | 54546/70000 [19:18:56<5:32:53, 1.29s/step] Training: 78%|███████▊ | 54547/70000 [19:18:58<5:35:16, 1.30s/step] Training: 78%|███████▊ | 54548/70000 [19:18:59<5:37:25, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=75436 Training: 78%|███████▊ | 54549/70000 [19:19:00<5:28:06, 1.27s/step] Training: 78%|███████▊ | 54550/70000 [19:19:01<5:21:41, 1.25s/step] Training: 78%|███████▊ | 54551/70000 [19:19:02<5:17:14, 1.23s/step] Training: 78%|███████▊ | 54552/70000 [19:19:04<5:18:05, 1.24s/step] Training: 78%|███████▊ | 54553/70000 [19:19:05<5:13:49, 1.22s/step] Training: 78%|███████▊ | 54554/70000 [19:19:06<5:23:31, 1.26s/step] Training: 78%|███████▊ | 54555/70000 [19:19:08<5:28:23, 1.28s/step] Training: 78%|███████▊ | 54556/70000 [19:19:09<5:35:37, 1.30s/step] Training: 78%|███████▊ | 54557/70000 [19:19:10<5:26:35, 1.27s/step] Training: 78%|███████▊ | 54558/70000 [19:19:11<5:20:47, 1.25s/step] Training: 78%|███████▊ | 54559/70000 [19:19:13<5:16:51, 1.23s/step] Training: 78%|███████▊ | 54560/70000 [19:19:14<5:24:27, 1.26s/step] Training: 78%|███████▊ | 54561/70000 [19:19:15<5:32:07, 1.29s/step] Training: 78%|███████▊ | 54562/70000 [19:19:17<5:38:07, 1.31s/step] Training: 78%|███████▊ | 54563/70000 [19:19:18<5:38:35, 1.32s/step] Training: 78%|███████▊ | 54564/70000 [19:19:19<5:33:20, 1.30s/step] Training: 78%|███████▊ | 54565/70000 [19:19:20<5:24:55, 1.26s/step] Training: 78%|███████▊ | 54566/70000 [19:19:22<5:19:14, 1.24s/step] Training: 78%|███████▊ | 54567/70000 [19:19:23<5:15:06, 1.23s/step] Training: 78%|███████▊ | 54568/70000 [19:19:24<5:24:08, 1.26s/step] Training: 78%|███████▊ | 54569/70000 [19:19:25<5:27:29, 1.27s/step] Training: 78%|███████▊ | 54570/70000 [19:19:27<5:33:31, 1.30s/step] Training: 78%|███████▊ | 54571/70000 [19:19:28<5:27:25, 1.27s/step] Training: 78%|███████▊ | 54572/70000 [19:19:29<5:31:16, 1.29s/step] Training: 78%|███████▊ | 54573/70000 [19:19:30<5:24:12, 1.26s/step] Training: 78%|███████▊ | 54574/70000 [19:19:32<5:18:29, 1.24s/step] Training: 78%|███████▊ | 54575/70000 [19:19:33<5:14:41, 1.22s/step] Training: 78%|███████▊ | 54576/70000 [19:19:34<5:14:54, 1.23s/step] Training: 78%|███████▊ | 54577/70000 [19:19:35<5:24:49, 1.26s/step] Training: 78%|███████▊ | 54578/70000 [19:19:37<5:32:10, 1.29s/step] Training: 78%|███████▊ | 54579/70000 [19:19:38<5:34:16, 1.30s/step] Training: 78%|███████▊ | 54580/70000 [19:19:39<5:36:48, 1.31s/step] Training: 78%|███████▊ | 54581/70000 [19:19:41<5:27:43, 1.28s/step] Training: 78%|███████▊ | 54582/70000 [19:19:42<5:20:55, 1.25s/step] Training: 78%|███████▊ | 54583/70000 [19:19:43<5:16:18, 1.23s/step] Training: 78%|███████▊ | 54584/70000 [19:19:44<5:14:04, 1.22s/step] Training: 78%|███████▊ | 54585/70000 [19:19:45<5:11:23, 1.21s/step] Training: 78%|███████▊ | 54586/70000 [19:19:47<5:30:10, 1.29s/step] Training: 78%|███████▊ | 54587/70000 [19:19:48<5:33:23, 1.30s/step] Training: 78%|███████▊ | 54588/70000 [19:19:50<5:38:33, 1.32s/step] Training: 78%|███████▊ | 54589/70000 [19:19:51<5:28:54, 1.28s/step] Training: 78%|███████▊ | 54590/70000 [19:19:52<5:22:01, 1.25s/step] Training: 78%|███████▊ | 54591/70000 [19:19:53<5:17:16, 1.24s/step] Training: 78%|███████▊ | 54592/70000 [19:19:54<5:24:31, 1.26s/step] Training: 78%|███████▊ | 54593/70000 [19:19:56<5:18:35, 1.24s/step] Training: 78%|███████▊ | 54594/70000 [19:19:57<5:33:56, 1.30s/step] Training: 78%|███████▊ | 54595/70000 [19:19:58<5:35:54, 1.31s/step] Training: 78%|███████▊ | 54596/70000 [19:20:00<5:31:06, 1.29s/step] Training: 78%|███████▊ | 54597/70000 [19:20:01<5:23:28, 1.26s/step] Training: 78%|███████▊ | 54598/70000 [19:20:02<5:17:46, 1.24s/step] Training: 78%|███████▊ | 54599/70000 [19:20:03<5:13:51, 1.22s/step] Training: 78%|███████▊ | 54600/70000 [19:20:05<5:21:59, 1.25s/step]INFO 2026-03-13 15:29:57 ot_train.py:435 step:55K smpl:3M ep:12K epch:46.28 loss:0.008 grdn:0.676 lr:3.8e-06 updt_s:1.244 data_s:0.019 Training: 78%|███████▊ | 54601/70000 [19:20:06<5:16:57, 1.23s/step] Training: 78%|███████▊ | 54602/70000 [19:20:07<5:27:44, 1.28s/step] Training: 78%|███████▊ | 54603/70000 [19:20:08<5:22:33, 1.26s/step] Training: 78%|███████▊ | 54604/70000 [19:20:10<5:28:53, 1.28s/step] Training: 78%|███████▊ | 54605/70000 [19:20:11<5:22:35, 1.26s/step] Training: 78%|███████▊ | 54606/70000 [19:20:12<5:19:37, 1.25s/step] Training: 78%|███████▊ | 54607/70000 [19:20:13<5:15:44, 1.23s/step] Training: 78%|███████▊ | 54608/70000 [19:20:14<5:15:40, 1.23s/step] Training: 78%|███████▊ | 54609/70000 [19:20:16<5:12:38, 1.22s/step] Training: 78%|███████▊ | 54610/70000 [19:20:17<5:25:37, 1.27s/step] Training: 78%|███████▊ | 54611/70000 [19:20:18<5:30:26, 1.29s/step] Training: 78%|███████▊ | 54612/70000 [19:20:20<5:33:44, 1.30s/step] Training: 78%|███████▊ | 54613/70000 [19:20:21<5:25:06, 1.27s/step] Training: 78%|███████▊ | 54614/70000 [19:20:22<5:18:54, 1.24s/step] Training: 78%|███████▊ | 54615/70000 [19:20:23<5:14:54, 1.23s/step] Training: 78%|███████▊ | 54616/70000 [19:20:24<5:13:26, 1.22s/step] Training: 78%|███████▊ | 54617/70000 [19:20:26<5:10:49, 1.21s/step] Training: 78%|███████▊ | 54618/70000 [19:20:27<5:20:39, 1.25s/step] Training: 78%|███████▊ | 54619/70000 [19:20:28<5:27:19, 1.28s/step] Training: 78%|███████▊ | 54620/70000 [19:20:30<5:33:58, 1.30s/step] Training: 78%|███████▊ | 54621/70000 [19:20:31<5:25:07, 1.27s/step] Training: 78%|███████▊ | 54622/70000 [19:20:32<5:19:01, 1.24s/step] Training: 78%|███████▊ | 54623/70000 [19:20:33<5:14:59, 1.23s/step] Training: 78%|███████▊ | 54624/70000 [19:20:35<5:23:39, 1.26s/step] Training: 78%|███████▊ | 54625/70000 [19:20:36<5:17:52, 1.24s/step] Training: 78%|███████▊ | 54626/70000 [19:20:37<5:28:39, 1.28s/step] Training: 78%|███████▊ | 54627/70000 [19:20:39<5:40:06, 1.33s/step] Training: 78%|███████▊ | 54628/70000 [19:20:40<5:34:30, 1.31s/step] Training: 78%|███████▊ | 54629/70000 [19:20:41<5:26:03, 1.27s/step] Training: 78%|███████▊ | 54630/70000 [19:20:42<5:19:40, 1.25s/step] Training: 78%|███████▊ | 54631/70000 [19:20:43<5:15:11, 1.23s/step] Training: 78%|███████▊ | 54632/70000 [19:20:45<5:22:12, 1.26s/step] Training: 78%|███████▊ | 54633/70000 [19:20:46<5:16:59, 1.24s/step] Training: 78%|███████▊ | 54634/70000 [19:20:47<5:27:05, 1.28s/step] Training: 78%|███████▊ | 54635/70000 [19:20:49<5:27:22, 1.28s/step] Training: 78%|███████▊ | 54636/70000 [19:20:50<5:31:01, 1.29s/step] Training: 78%|███████▊ | 54637/70000 [19:20:51<5:23:13, 1.26s/step] Training: 78%|███████▊ | 54638/70000 [19:20:52<5:17:37, 1.24s/step] Training: 78%|███████▊ | 54639/70000 [19:20:54<5:13:58, 1.23s/step] Training: 78%|███████▊ | 54640/70000 [19:20:55<5:13:54, 1.23s/step] Training: 78%|███████▊ | 54641/70000 [19:20:56<5:11:00, 1.21s/step] Training: 78%|███████▊ | 54642/70000 [19:20:57<5:22:22, 1.26s/step] Training: 78%|███████▊ | 54643/70000 [19:20:59<5:28:50, 1.28s/step] Training: 78%|███████▊ | 54644/70000 [19:21:00<5:41:19, 1.33s/step] Training: 78%|███████▊ | 54645/70000 [19:21:01<5:30:35, 1.29s/step] Training: 78%|███████▊ | 54646/70000 [19:21:02<5:22:39, 1.26s/step] Training: 78%|███████▊ | 54647/70000 [19:21:04<5:17:16, 1.24s/step] Training: 78%|███████▊ | 54648/70000 [19:21:05<5:15:03, 1.23s/step] Training: 78%|███████▊ | 54649/70000 [19:21:06<5:12:05, 1.22s/step] Training: 78%|███████▊ | 54650/70000 [19:21:07<5:21:01, 1.25s/step] Training: 78%|███████▊ | 54651/70000 [19:21:09<5:28:46, 1.29s/step] Training: 78%|███████▊ | 54652/70000 [19:21:10<5:34:44, 1.31s/step] Training: 78%|███████▊ | 54653/70000 [19:21:11<5:25:52, 1.27s/step] Training: 78%|███████▊ | 54654/70000 [19:21:13<5:19:21, 1.25s/step] Training: 78%|███████▊ | 54655/70000 [19:21:14<5:14:54, 1.23s/step] Training: 78%|███████▊ | 54656/70000 [19:21:15<5:22:05, 1.26s/step] Training: 78%|███████▊ | 54657/70000 [19:21:16<5:16:56, 1.24s/step] Training: 78%|███████▊ | 54658/70000 [19:21:18<5:27:41, 1.28s/step] Training: 78%|███████▊ | 54659/70000 [19:21:19<5:31:56, 1.30s/step] Training: 78%|███████▊ | 54660/70000 [19:21:20<5:36:08, 1.31s/step] Training: 78%|███████▊ | 54661/70000 [19:21:21<5:25:54, 1.27s/step] Training: 78%|███████▊ | 54662/70000 [19:21:23<5:19:17, 1.25s/step] Training: 78%|███████▊ | 54663/70000 [19:21:24<5:14:21, 1.23s/step] Training: 78%|███████▊ | 54664/70000 [19:21:25<5:21:38, 1.26s/step] Training: 78%|███████▊ | 54665/70000 [19:21:26<5:17:01, 1.24s/step] Training: 78%|███████▊ | 54666/70000 [19:21:28<5:26:24, 1.28s/step] Training: 78%|███████▊ | 54667/70000 [19:21:29<5:21:10, 1.26s/step] Training: 78%|███████▊ | 54668/70000 [19:21:30<5:36:24, 1.32s/step] Training: 78%|███████▊ | 54669/70000 [19:21:32<5:26:39, 1.28s/step] Training: 78%|███████▊ | 54670/70000 [19:21:33<5:20:09, 1.25s/step] Training: 78%|███████▊ | 54671/70000 [19:21:34<5:14:48, 1.23s/step] Training: 78%|███████▊ | 54672/70000 [19:21:35<5:14:51, 1.23s/step] Training: 78%|███████▊ | 54673/70000 [19:21:36<5:11:34, 1.22s/step] Training: 78%|███████▊ | 54674/70000 [19:21:38<5:23:30, 1.27s/step] Training: 78%|███████▊ | 54675/70000 [19:21:39<5:27:29, 1.28s/step] Training: 78%|███████▊ | 54676/70000 [19:21:40<5:31:05, 1.30s/step] Training: 78%|███████▊ | 54677/70000 [19:21:42<5:23:03, 1.27s/step] Training: 78%|███████▊ | 54678/70000 [19:21:43<5:17:11, 1.24s/step] Training: 78%|███████▊ | 54679/70000 [19:21:44<5:12:59, 1.23s/step] Training: 78%|███████▊ | 54680/70000 [19:21:45<5:12:09, 1.22s/step] Training: 78%|███████▊ | 54681/70000 [19:21:46<5:09:36, 1.21s/step] Training: 78%|███████▊ | 54682/70000 [19:21:48<5:18:35, 1.25s/step] Training: 78%|███████▊ | 54683/70000 [19:21:49<5:24:24, 1.27s/step] Training: 78%|███████▊ | 54684/70000 [19:21:50<5:32:40, 1.30s/step] Training: 78%|███████▊ | 54685/70000 [19:21:52<5:23:49, 1.27s/step] Training: 78%|███████▊ | 54686/70000 [19:21:53<5:17:36, 1.24s/step] Training: 78%|███████▊ | 54687/70000 [19:21:54<5:13:05, 1.23s/step] Training: 78%|███████▊ | 54688/70000 [19:21:55<5:20:20, 1.26s/step] Training: 78%|███████▊ | 54689/70000 [19:21:56<5:15:24, 1.24s/step] Training: 78%|███████▊ | 54690/70000 [19:21:58<5:15:15, 1.24s/step] Training: 78%|███████▊ | 54691/70000 [19:21:59<5:33:38, 1.31s/step] Training: 78%|███████▊ | 54692/70000 [19:22:00<5:31:27, 1.30s/step] Training: 78%|███████▊ | 54693/70000 [19:22:02<5:22:14, 1.26s/step] Training: 78%|███████▊ | 54694/70000 [19:22:03<5:16:44, 1.24s/step] Training: 78%|███████▊ | 54695/70000 [19:22:04<5:12:43, 1.23s/step] Training: 78%|███████▊ | 54696/70000 [19:22:05<5:20:41, 1.26s/step] Training: 78%|███████▊ | 54697/70000 [19:22:07<5:15:19, 1.24s/step] Training: 78%|███████▊ | 54698/70000 [19:22:08<5:12:39, 1.23s/step] Training: 78%|███████▊ | 54699/70000 [19:22:09<5:18:19, 1.25s/step] Training: 78%|███████▊ | 54700/70000 [19:22:10<5:23:36, 1.27s/step]INFO 2026-03-13 15:32:03 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.36 loss:0.008 grdn:1.423 lr:3.7e-06 updt_s:1.238 data_s:0.019 Training: 78%|███████▊ | 54701/70000 [19:22:12<5:29:24, 1.29s/step] Training: 78%|███████▊ | 54702/70000 [19:22:13<5:20:47, 1.26s/step] Training: 78%|███████▊ | 54703/70000 [19:22:14<5:15:57, 1.24s/step] Training: 78%|███████▊ | 54704/70000 [19:22:15<5:14:02, 1.23s/step] Training: 78%|███████▊ | 54705/70000 [19:22:17<5:10:56, 1.22s/step] Training: 78%|███████▊ | 54706/70000 [19:22:18<5:28:01, 1.29s/step] Training: 78%|███████▊ | 54707/70000 [19:22:19<5:31:00, 1.30s/step] Training: 78%|███████▊ | 54708/70000 [19:22:21<5:32:54, 1.31s/step] Training: 78%|███████▊ | 54709/70000 [19:22:22<5:31:20, 1.30s/step] Training: 78%|███████▊ | 54710/70000 [19:22:23<5:22:43, 1.27s/step] Training: 78%|███████▊ | 54711/70000 [19:22:24<5:17:06, 1.24s/step] Training: 78%|███████▊ | 54712/70000 [19:22:25<5:13:56, 1.23s/step] Training: 78%|███████▊ | 54713/70000 [19:22:27<5:10:53, 1.22s/step] Training: 78%|███████▊ | 54714/70000 [19:22:28<5:19:10, 1.25s/step] Training: 78%|███████▊ | 54715/70000 [19:22:29<5:32:26, 1.30s/step] Training: 78%|███████▊ | 54716/70000 [19:22:31<5:37:11, 1.32s/step] Training: 78%|███████▊ | 54717/70000 [19:22:32<5:38:43, 1.33s/step] Training: 78%|███████▊ | 54718/70000 [19:22:33<5:27:05, 1.28s/step] Training: 78%|███████▊ | 54719/70000 [19:22:34<5:19:41, 1.26s/step] Training: 78%|███████▊ | 54720/70000 [19:22:36<5:24:58, 1.28s/step] Training: 78%|███████▊ | 54721/70000 [19:22:37<5:18:16, 1.25s/step] Training: 78%|███████▊ | 54722/70000 [19:22:38<5:18:57, 1.25s/step] Training: 78%|███████▊ | 54723/70000 [19:22:40<5:25:04, 1.28s/step] Training: 78%|███████▊ | 54724/70000 [19:22:41<5:23:06, 1.27s/step] Training: 78%|███████▊ | 54725/70000 [19:22:42<5:29:25, 1.29s/step] Training: 78%|███████▊ | 54726/70000 [19:22:43<5:20:45, 1.26s/step] Training: 78%|███████▊ | 54727/70000 [19:22:45<5:15:27, 1.24s/step] Training: 78%|███████▊ | 54728/70000 [19:22:46<5:22:02, 1.27s/step] Training: 78%|███████▊ | 54729/70000 [19:22:47<5:16:14, 1.24s/step] Training: 78%|███████▊ | 54730/70000 [19:22:48<5:22:21, 1.27s/step] Training: 78%|███████▊ | 54731/70000 [19:22:50<5:17:35, 1.25s/step] Training: 78%|███████▊ | 54732/70000 [19:22:51<5:23:52, 1.27s/step] Training: 78%|███████▊ | 54733/70000 [19:22:52<5:17:37, 1.25s/step] Training: 78%|███████▊ | 54734/70000 [19:22:53<5:24:29, 1.28s/step] Training: 78%|███████▊ | 54735/70000 [19:22:55<5:17:06, 1.25s/step] Training: 78%|███████▊ | 54736/70000 [19:22:56<5:16:45, 1.25s/step] Training: 78%|███████▊ | 54737/70000 [19:22:57<5:12:47, 1.23s/step] Training: 78%|███████▊ | 54738/70000 [19:22:58<5:21:00, 1.26s/step] Training: 78%|███████▊ | 54739/70000 [19:23:00<5:26:40, 1.28s/step] Training: 78%|███████▊ | 54740/70000 [19:23:01<5:29:25, 1.30s/step] Training: 78%|███████▊ | 54741/70000 [19:23:02<5:31:55, 1.31s/step] Training: 78%|███████▊ | 54742/70000 [19:23:04<5:34:37, 1.32s/step] Training: 78%|███████▊ | 54743/70000 [19:23:05<5:24:06, 1.27s/step] Training: 78%|███████▊ | 54744/70000 [19:23:06<5:18:42, 1.25s/step] Training: 78%|███████▊ | 54745/70000 [19:23:07<5:13:37, 1.23s/step] Training: 78%|███████▊ | 54746/70000 [19:23:09<5:25:40, 1.28s/step] Training: 78%|███████▊ | 54747/70000 [19:23:10<5:30:08, 1.30s/step] Training: 78%|███████▊ | 54748/70000 [19:23:11<5:32:26, 1.31s/step] Training: 78%|███████▊ | 54749/70000 [19:23:13<5:32:27, 1.31s/step] Training: 78%|███████▊ | 54750/70000 [19:23:14<5:34:08, 1.31s/step] Training: 78%|███████▊ | 54751/70000 [19:23:15<5:23:53, 1.27s/step] Training: 78%|███████▊ | 54752/70000 [19:23:17<5:27:17, 1.29s/step] Training: 78%|███████▊ | 54753/70000 [19:23:18<5:19:38, 1.26s/step] Training: 78%|███████▊ | 54754/70000 [19:23:19<5:20:00, 1.26s/step] Training: 78%|███████▊ | 54755/70000 [19:23:20<5:26:50, 1.29s/step] Training: 78%|███████▊ | 54756/70000 [19:23:22<5:23:31, 1.27s/step] Training: 78%|███████▊ | 54757/70000 [19:23:23<5:17:02, 1.25s/step] Training: 78%|███████▊ | 54758/70000 [19:23:24<5:24:58, 1.28s/step] Training: 78%|███████▊ | 54759/70000 [19:23:25<5:17:22, 1.25s/step] Training: 78%|███████▊ | 54760/70000 [19:23:27<5:22:57, 1.27s/step] Training: 78%|███████▊ | 54761/70000 [19:23:28<5:16:32, 1.25s/step] Training: 78%|███████▊ | 54762/70000 [19:23:29<5:22:21, 1.27s/step] Training: 78%|███████▊ | 54763/70000 [19:23:30<5:19:04, 1.26s/step] Training: 78%|███████▊ | 54764/70000 [19:23:32<5:14:49, 1.24s/step] Training: 78%|███████▊ | 54765/70000 [19:23:33<5:19:59, 1.26s/step] Training: 78%|███████▊ | 54766/70000 [19:23:34<5:18:58, 1.26s/step] Training: 78%|███████▊ | 54767/70000 [19:23:35<5:13:10, 1.23s/step] Training: 78%|███████▊ | 54768/70000 [19:23:37<5:12:31, 1.23s/step] Training: 78%|███████▊ | 54769/70000 [19:23:38<5:09:17, 1.22s/step] Training: 78%|███████▊ | 54770/70000 [19:23:39<5:17:27, 1.25s/step] Training: 78%|███████▊ | 54771/70000 [19:23:40<5:23:19, 1.27s/step] Training: 78%|███████▊ | 54772/70000 [19:23:42<5:26:57, 1.29s/step] Training: 78%|███████▊ | 54773/70000 [19:23:43<5:30:16, 1.30s/step] Training: 78%|███████▊ | 54774/70000 [19:23:44<5:22:01, 1.27s/step] Training: 78%|███████▊ | 54775/70000 [19:23:46<5:27:19, 1.29s/step] Training: 78%|███████▊ | 54776/70000 [19:23:47<5:20:38, 1.26s/step] Training: 78%|███████▊ | 54777/70000 [19:23:48<5:14:58, 1.24s/step] Training: 78%|███████▊ | 54778/70000 [19:23:49<5:25:45, 1.28s/step] Training: 78%|███████▊ | 54779/70000 [19:23:51<5:30:19, 1.30s/step] Training: 78%|███████▊ | 54780/70000 [19:23:52<5:32:00, 1.31s/step] Training: 78%|███████▊ | 54781/70000 [19:23:53<5:24:56, 1.28s/step] Training: 78%|███████▊ | 54782/70000 [19:23:54<5:18:01, 1.25s/step] Training: 78%|███████▊ | 54783/70000 [19:23:56<5:22:28, 1.27s/step] Training: 78%|███████▊ | 54784/70000 [19:23:57<5:26:08, 1.29s/step] Training: 78%|███████▊ | 54785/70000 [19:23:58<5:18:33, 1.26s/step] Training: 78%|███████▊ | 54786/70000 [19:23:59<5:16:40, 1.25s/step] Training: 78%|███████▊ | 54787/70000 [19:24:01<5:22:53, 1.27s/step] Training: 78%|███████▊ | 54788/70000 [19:24:02<5:19:24, 1.26s/step] Training: 78%|███████▊ | 54789/70000 [19:24:03<5:24:45, 1.28s/step] Training: 78%|███████▊ | 54790/70000 [19:24:05<5:18:03, 1.25s/step] Training: 78%|███████▊ | 54791/70000 [19:24:06<5:25:40, 1.28s/step] Training: 78%|███████▊ | 54792/70000 [19:24:07<5:27:51, 1.29s/step] Training: 78%|███████▊ | 54793/70000 [19:24:08<5:20:02, 1.26s/step] Training: 78%|███████▊ | 54794/70000 [19:24:10<5:24:25, 1.28s/step] Training: 78%|███████▊ | 54795/70000 [19:24:11<5:19:34, 1.26s/step] Training: 78%|███████▊ | 54796/70000 [19:24:12<5:14:57, 1.24s/step] Training: 78%|███████▊ | 54797/70000 [19:24:13<5:22:53, 1.27s/step] Training: 78%|███████▊ | 54798/70000 [19:24:15<5:16:33, 1.25s/step] Training: 78%|███████▊ | 54799/70000 [19:24:16<5:11:50, 1.23s/step] Training: 78%|███████▊ | 54800/70000 [19:24:17<5:20:20, 1.26s/step]INFO 2026-03-13 15:34:09 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.45 loss:0.008 grdn:0.643 lr:3.7e-06 updt_s:1.247 data_s:0.019 Training: 78%|███████▊ | 54801/70000 [19:24:18<5:13:54, 1.24s/step] Training: 78%|███████▊ | 54802/70000 [19:24:20<5:20:38, 1.27s/step] Training: 78%|███████▊ | 54803/70000 [19:24:21<5:26:00, 1.29s/step] Training: 78%|███████▊ | 54804/70000 [19:24:22<5:29:06, 1.30s/step] Training: 78%|███████▊ | 54805/70000 [19:24:24<5:30:42, 1.31s/step] Training: 78%|███████▊ | 54806/70000 [19:24:25<5:21:58, 1.27s/step] Training: 78%|███████▊ | 54807/70000 [19:24:26<5:16:20, 1.25s/step] Training: 78%|███████▊ | 54808/70000 [19:24:27<5:22:49, 1.27s/step] Training: 78%|███████▊ | 54809/70000 [19:24:29<5:15:43, 1.25s/step] Training: 78%|███████▊ | 54810/70000 [19:24:30<5:25:11, 1.28s/step] Training: 78%|███████▊ | 54811/70000 [19:24:31<5:28:37, 1.30s/step] Training: 78%|███████▊ | 54812/70000 [19:24:33<5:30:13, 1.30s/step] Training: 78%|███████▊ | 54813/70000 [19:24:34<5:21:13, 1.27s/step] Training: 78%|███████▊ | 54814/70000 [19:24:35<5:24:51, 1.28s/step] Training: 78%|███████▊ | 54815/70000 [19:24:36<5:17:58, 1.26s/step] Training: 78%|███████▊ | 54816/70000 [19:24:38<5:22:46, 1.28s/step] Training: 78%|███████▊ | 54817/70000 [19:24:39<5:15:52, 1.25s/step] Training: 78%|███████▊ | 54818/70000 [19:24:40<5:14:45, 1.24s/step] Training: 78%|███████▊ | 54819/70000 [19:24:41<5:24:09, 1.28s/step] Training: 78%|███████▊ | 54820/70000 [19:24:43<5:20:13, 1.27s/step] Training: 78%|███████▊ | 54821/70000 [19:24:44<5:26:18, 1.29s/step] Training: 78%|███████▊ | 54822/70000 [19:24:45<5:18:38, 1.26s/step] Training: 78%|███████▊ | 54823/70000 [19:24:46<5:13:26, 1.24s/step] Training: 78%|███████▊ | 54824/70000 [19:24:48<5:21:53, 1.27s/step] Training: 78%|███████▊ | 54825/70000 [19:24:49<5:15:29, 1.25s/step] Training: 78%|███████▊ | 54826/70000 [19:24:50<5:21:33, 1.27s/step] Training: 78%|███████▊ | 54827/70000 [19:24:51<5:19:54, 1.27s/step] Training: 78%|███████▊ | 54828/70000 [19:24:53<5:15:13, 1.25s/step] Training: 78%|███████▊ | 54829/70000 [19:24:54<5:12:51, 1.24s/step] Training: 78%|███████▊ | 54830/70000 [19:24:55<5:09:03, 1.22s/step] Training: 78%|███████▊ | 54831/70000 [19:24:56<5:06:56, 1.21s/step] Training: 78%|███████▊ | 54832/70000 [19:24:58<5:14:49, 1.25s/step] Training: 78%|███████▊ | 54833/70000 [19:24:59<5:10:32, 1.23s/step] Training: 78%|███████▊ | 54834/70000 [19:25:00<5:18:17, 1.26s/step] Training: 78%|███████▊ | 54835/70000 [19:25:01<5:23:23, 1.28s/step] Training: 78%|███████▊ | 54836/70000 [19:25:03<5:26:48, 1.29s/step] Training: 78%|███████▊ | 54837/70000 [19:25:04<5:22:50, 1.28s/step] Training: 78%|███████▊ | 54838/70000 [19:25:05<5:16:20, 1.25s/step] Training: 78%|███████▊ | 54839/70000 [19:25:06<5:11:38, 1.23s/step] Training: 78%|███████▊ | 54840/70000 [19:25:08<5:09:01, 1.22s/step] Training: 78%|███████▊ | 54841/70000 [19:25:09<5:17:45, 1.26s/step] Training: 78%|███████▊ | 54842/70000 [19:25:10<5:26:05, 1.29s/step] Training: 78%|███████▊ | 54843/70000 [19:25:12<5:29:01, 1.30s/step] Training: 78%|███████▊ | 54844/70000 [19:25:13<5:30:44, 1.31s/step] Training: 78%|███████▊ | 54845/70000 [19:25:14<5:21:31, 1.27s/step] Training: 78%|███████▊ | 54846/70000 [19:25:15<5:26:03, 1.29s/step] Training: 78%|███████▊ | 54847/70000 [19:25:17<5:18:46, 1.26s/step] Training: 78%|███████▊ | 54848/70000 [19:25:18<5:22:52, 1.28s/step] Training: 78%|███████▊ | 54849/70000 [19:25:19<5:21:32, 1.27s/step] Training: 78%|███████▊ | 54850/70000 [19:25:20<5:18:40, 1.26s/step] Training: 78%|███████▊ | 54851/70000 [19:25:22<5:25:44, 1.29s/step] Training: 78%|███████▊ | 54852/70000 [19:25:23<5:18:47, 1.26s/step] Training: 78%|███████▊ | 54853/70000 [19:25:24<5:13:15, 1.24s/step] Training: 78%|███████▊ | 54854/70000 [19:25:25<5:11:49, 1.24s/step] Training: 78%|███████▊ | 54855/70000 [19:25:27<5:08:11, 1.22s/step] Training: 78%|███████▊ | 54856/70000 [19:25:28<5:15:54, 1.25s/step] Training: 78%|███████▊ | 54857/70000 [19:25:29<5:11:16, 1.23s/step] Training: 78%|███████▊ | 54858/70000 [19:25:31<5:27:25, 1.30s/step] Training: 78%|███████▊ | 54859/70000 [19:25:32<5:21:25, 1.27s/step] Training: 78%|███████▊ | 54860/70000 [19:25:33<5:17:35, 1.26s/step] Training: 78%|███████▊ | 54861/70000 [19:25:34<5:12:25, 1.24s/step] Training: 78%|███████▊ | 54862/70000 [19:25:35<5:09:53, 1.23s/step] Training: 78%|███████▊ | 54863/70000 [19:25:37<5:07:04, 1.22s/step] Training: 78%|███████▊ | 54864/70000 [19:25:38<5:15:08, 1.25s/step] Training: 78%|███████▊ | 54865/70000 [19:25:39<5:23:22, 1.28s/step] Training: 78%|███████▊ | 54866/70000 [19:25:41<5:26:13, 1.29s/step] Training: 78%|███████▊ | 54867/70000 [19:25:42<5:28:34, 1.30s/step] Training: 78%|███████▊ | 54868/70000 [19:25:43<5:19:55, 1.27s/step] Training: 78%|███████▊ | 54869/70000 [19:25:44<5:22:46, 1.28s/step] Training: 78%|███████▊ | 54870/70000 [19:25:46<5:26:59, 1.30s/step] Training: 78%|███████▊ | 54871/70000 [19:25:47<5:18:57, 1.26s/step] Training: 78%|███████▊ | 54872/70000 [19:25:48<5:14:45, 1.25s/step] Training: 78%|███████▊ | 54873/70000 [19:25:49<5:10:37, 1.23s/step] Training: 78%|███████▊ | 54874/70000 [19:25:51<5:27:38, 1.30s/step] Training: 78%|███████▊ | 54875/70000 [19:25:52<5:29:45, 1.31s/step] Training: 78%|███████▊ | 54876/70000 [19:25:54<5:30:59, 1.31s/step] Training: 78%|███████▊ | 54877/70000 [19:25:55<5:21:33, 1.28s/step] Training: 78%|███████▊ | 54878/70000 [19:25:56<5:25:12, 1.29s/step] Training: 78%|███████▊ | 54879/70000 [19:25:57<5:18:05, 1.26s/step] Training: 78%|███████▊ | 54880/70000 [19:25:59<5:22:40, 1.28s/step] Training: 78%|███████▊ | 54881/70000 [19:26:00<5:16:01, 1.25s/step] Training: 78%|███████▊ | 54882/70000 [19:26:01<5:27:57, 1.30s/step] Training: 78%|███████▊ | 54883/70000 [19:26:02<5:31:59, 1.32s/step] Training: 78%|███████▊ | 54884/70000 [19:26:04<5:22:48, 1.28s/step] Training: 78%|███████▊ | 54885/70000 [19:26:05<5:15:54, 1.25s/step] Training: 78%|███████▊ | 54886/70000 [19:26:06<5:13:52, 1.25s/step] Training: 78%|███████▊ | 54887/70000 [19:26:07<5:09:35, 1.23s/step] Training: 78%|███████▊ | 54888/70000 [19:26:09<5:17:10, 1.26s/step] Training: 78%|███████▊ | 54889/70000 [19:26:10<5:11:47, 1.24s/step] Training: 78%|███████▊ | 54890/70000 [19:26:11<5:22:44, 1.28s/step] Training: 78%|███████▊ | 54891/70000 [19:26:12<5:17:30, 1.26s/step] Training: 78%|███████▊ | 54892/70000 [19:26:14<5:21:47, 1.28s/step] Training: 78%|███████▊ | 54893/70000 [19:26:15<5:15:03, 1.25s/step] Training: 78%|███████▊ | 54894/70000 [19:26:16<5:11:46, 1.24s/step] Training: 78%|███████▊ | 54895/70000 [19:26:17<5:08:18, 1.22s/step] Training: 78%|███████▊ | 54896/70000 [19:26:19<5:16:25, 1.26s/step] Training: 78%|███████▊ | 54897/70000 [19:26:20<5:11:28, 1.24s/step] Training: 78%|███████▊ | 54898/70000 [19:26:21<5:20:13, 1.27s/step] Training: 78%|███████▊ | 54899/70000 [19:26:23<5:24:50, 1.29s/step] Training: 78%|███████▊ | 54900/70000 [19:26:24<5:19:10, 1.27s/step]INFO 2026-03-13 15:36:16 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.53 loss:0.008 grdn:0.873 lr:3.7e-06 updt_s:1.245 data_s:0.019 Training: 78%|███████▊ | 54901/70000 [19:26:25<5:13:16, 1.24s/step] Training: 78%|███████▊ | 54902/70000 [19:26:26<5:19:42, 1.27s/step] Training: 78%|███████▊ | 54903/70000 [19:26:27<5:13:39, 1.25s/step] Training: 78%|███████▊ | 54904/70000 [19:26:29<5:10:44, 1.24s/step] Training: 78%|███████▊ | 54905/70000 [19:26:30<5:08:28, 1.23s/step] Training: 78%|███████▊ | 54906/70000 [19:26:31<5:19:28, 1.27s/step] Training: 78%|███████▊ | 54907/70000 [19:26:33<5:24:03, 1.29s/step] Training: 78%|███████▊ | 54908/70000 [19:26:34<5:27:08, 1.30s/step] Training: 78%|███████▊ | 54909/70000 [19:26:35<5:18:26, 1.27s/step] Training: 78%|███████▊ | 54910/70000 [19:26:36<5:23:29, 1.29s/step] Training: 78%|███████▊ | 54911/70000 [19:26:38<5:16:27, 1.26s/step] Training: 78%|███████▊ | 54912/70000 [19:26:39<5:21:56, 1.28s/step] Training: 78%|███████▊ | 54913/70000 [19:26:40<5:15:21, 1.25s/step] Training: 78%|███████▊ | 54914/70000 [19:26:41<5:21:28, 1.28s/step] Training: 78%|███████▊ | 54915/70000 [19:26:43<5:32:23, 1.32s/step] Training: 78%|███████▊ | 54916/70000 [19:26:44<5:32:40, 1.32s/step] Training: 78%|███████▊ | 54917/70000 [19:26:45<5:22:43, 1.28s/step] Training: 78%|███████▊ | 54918/70000 [19:26:47<5:20:28, 1.27s/step] Training: 78%|███████▊ | 54919/70000 [19:26:48<5:14:07, 1.25s/step] Training: 78%|███████▊ | 54920/70000 [19:26:49<5:20:40, 1.28s/step] Training: 78%|███████▊ | 54921/70000 [19:26:50<5:14:22, 1.25s/step] Training: 78%|███████▊ | 54922/70000 [19:26:52<5:24:20, 1.29s/step] Training: 78%|███████▊ | 54923/70000 [19:26:53<5:23:41, 1.29s/step] Training: 78%|███████▊ | 54924/70000 [19:26:54<5:26:21, 1.30s/step] Training: 78%|███████▊ | 54925/70000 [19:26:56<5:18:14, 1.27s/step] Training: 78%|███████▊ | 54926/70000 [19:26:57<5:14:26, 1.25s/step] Training: 78%|███████▊ | 54927/70000 [19:26:58<5:09:46, 1.23s/step] Training: 78%|███████▊ | 54928/70000 [19:26:59<5:16:14, 1.26s/step] Training: 78%|███████▊ | 54929/70000 [19:27:00<5:11:15, 1.24s/step] Training: 78%|███████▊ | 54930/70000 [19:27:02<5:17:18, 1.26s/step] Training: 78%|███████▊ | 54931/70000 [19:27:03<5:22:51, 1.29s/step] Training: 78%|███████▊ | 54932/70000 [19:27:04<5:16:38, 1.26s/step] Training: 78%|███████▊ | 54933/70000 [19:27:06<5:11:31, 1.24s/step] Training: 78%|███████▊ | 54934/70000 [19:27:07<5:17:33, 1.26s/step] Training: 78%|███████▊ | 54935/70000 [19:27:08<5:11:56, 1.24s/step] Training: 78%|███████▊ | 54936/70000 [19:27:09<5:08:43, 1.23s/step] Training: 78%|███████▊ | 54937/70000 [19:27:10<5:06:02, 1.22s/step] Training: 78%|███████▊ | 54938/70000 [19:27:12<5:18:51, 1.27s/step] Training: 78%|███████▊ | 54939/70000 [19:27:13<5:23:58, 1.29s/step] Training: 78%|███████▊ | 54940/70000 [19:27:15<5:35:10, 1.34s/step] Training: 78%|███████▊ | 54941/70000 [19:27:16<5:24:08, 1.29s/step] Training: 78%|███████▊ | 54942/70000 [19:27:17<5:27:39, 1.31s/step] Training: 78%|███████▊ | 54943/70000 [19:27:18<5:19:11, 1.27s/step] Training: 78%|███████▊ | 54944/70000 [19:27:20<5:25:14, 1.30s/step] Training: 78%|███████▊ | 54945/70000 [19:27:21<5:17:49, 1.27s/step] Training: 78%|███████▊ | 54946/70000 [19:27:22<5:22:08, 1.28s/step] Training: 78%|███████▊ | 54947/70000 [19:27:24<5:27:47, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=64925 Training: 78%|███████▊ | 54948/70000 [19:27:25<5:36:19, 1.34s/step] Training: 78%|███████▊ | 54949/70000 [19:27:26<5:24:45, 1.29s/step] Training: 78%|███████▊ | 54950/70000 [19:27:27<5:20:08, 1.28s/step] Training: 79%|███████▊ | 54951/70000 [19:27:29<5:13:31, 1.25s/step] Training: 79%|███████▊ | 54952/70000 [19:27:30<5:19:24, 1.27s/step] Training: 79%|███████▊ | 54953/70000 [19:27:31<5:12:56, 1.25s/step] Training: 79%|███████▊ | 54954/70000 [19:27:32<5:22:29, 1.29s/step] Training: 79%|███████▊ | 54955/70000 [19:27:34<5:17:11, 1.27s/step] Training: 79%|███████▊ | 54956/70000 [19:27:35<5:26:58, 1.30s/step] Training: 79%|███████▊ | 54957/70000 [19:27:36<5:17:34, 1.27s/step] Training: 79%|███████▊ | 54958/70000 [19:27:38<5:13:59, 1.25s/step] Training: 79%|███████▊ | 54959/70000 [19:27:39<5:09:19, 1.23s/step] Training: 79%|███████▊ | 54960/70000 [19:27:40<5:15:55, 1.26s/step] Training: 79%|███████▊ | 54961/70000 [19:27:41<5:10:51, 1.24s/step] Training: 79%|███████▊ | 54962/70000 [19:27:43<5:17:54, 1.27s/step] Training: 79%|███████▊ | 54963/70000 [19:27:44<5:22:52, 1.29s/step] Training: 79%|███████▊ | 54964/70000 [19:27:45<5:28:00, 1.31s/step] Training: 79%|███████▊ | 54965/70000 [19:27:46<5:18:07, 1.27s/step] Training: 79%|███████▊ | 54966/70000 [19:27:48<5:22:46, 1.29s/step] Training: 79%|███████▊ | 54967/70000 [19:27:49<5:15:20, 1.26s/step] Training: 79%|███████▊ | 54968/70000 [19:27:50<5:11:27, 1.24s/step] Training: 79%|███████▊ | 54969/70000 [19:27:51<5:07:54, 1.23s/step] Training: 79%|███████▊ | 54970/70000 [19:27:53<5:19:17, 1.27s/step] Training: 79%|███████▊ | 54971/70000 [19:27:54<5:23:13, 1.29s/step] Training: 79%|███████▊ | 54972/70000 [19:27:55<5:28:26, 1.31s/step] Training: 79%|███████▊ | 54973/70000 [19:27:57<5:19:22, 1.28s/step] Training: 79%|███████▊ | 54974/70000 [19:27:58<5:23:41, 1.29s/step] Training: 79%|███████▊ | 54975/70000 [19:27:59<5:16:13, 1.26s/step] Training: 79%|███████▊ | 54976/70000 [19:28:00<5:20:48, 1.28s/step] Training: 79%|███████▊ | 54977/70000 [19:28:02<5:14:11, 1.25s/step] Training: 79%|███████▊ | 54978/70000 [19:28:03<5:19:35, 1.28s/step] Training: 79%|███████▊ | 54979/70000 [19:28:04<5:25:03, 1.30s/step] Training: 79%|███████▊ | 54980/70000 [19:28:06<5:26:58, 1.31s/step] Training: 79%|███████▊ | 54981/70000 [19:28:07<5:18:14, 1.27s/step] Training: 79%|███████▊ | 54982/70000 [19:28:08<5:15:25, 1.26s/step] Training: 79%|███████▊ | 54983/70000 [19:28:09<5:09:54, 1.24s/step] Training: 79%|███████▊ | 54984/70000 [19:28:11<5:16:31, 1.26s/step] Training: 79%|███████▊ | 54985/70000 [19:28:12<5:10:58, 1.24s/step] Training: 79%|███████▊ | 54986/70000 [19:28:13<5:10:10, 1.24s/step] Training: 79%|███████▊ | 54987/70000 [19:28:14<5:19:52, 1.28s/step] Training: 79%|███████▊ | 54988/70000 [19:28:16<5:15:40, 1.26s/step] Training: 79%|███████▊ | 54989/70000 [19:28:17<5:21:44, 1.29s/step] Training: 79%|███████▊ | 54990/70000 [19:28:18<5:14:54, 1.26s/step] Training: 79%|███████▊ | 54991/70000 [19:28:19<5:09:53, 1.24s/step] Training: 79%|███████▊ | 54992/70000 [19:28:21<5:16:39, 1.27s/step] Training: 79%|███████▊ | 54993/70000 [19:28:22<5:11:04, 1.24s/step] Training: 79%|███████▊ | 54994/70000 [19:28:23<5:08:35, 1.23s/step] Training: 79%|███████▊ | 54995/70000 [19:28:24<5:15:29, 1.26s/step] Training: 79%|███████▊ | 54996/70000 [19:28:26<5:11:15, 1.24s/step] Training: 79%|███████▊ | 54997/70000 [19:28:27<5:12:37, 1.25s/step] Training: 79%|███████▊ | 54998/70000 [19:28:28<5:18:41, 1.27s/step] Training: 79%|███████▊ | 54999/70000 [19:28:29<5:12:30, 1.25s/step] Training: 79%|███████▊ | 55000/70000 [19:28:31<5:09:46, 1.24s/step]INFO 2026-03-13 15:38:23 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.62 loss:0.009 grdn:0.598 lr:3.6e-06 updt_s:1.248 data_s:0.019 Training: 79%|███████▊ | 55001/70000 [19:28:32<5:06:20, 1.23s/step] Training: 79%|███████▊ | 55002/70000 [19:28:33<5:17:07, 1.27s/step] Training: 79%|███████▊ | 55003/70000 [19:28:34<5:20:59, 1.28s/step] Training: 79%|███████▊ | 55004/70000 [19:28:36<5:24:35, 1.30s/step] Training: 79%|███████▊ | 55005/70000 [19:28:37<5:15:57, 1.26s/step] Training: 79%|███████▊ | 55006/70000 [19:28:38<5:30:28, 1.32s/step] Training: 79%|███████▊ | 55007/70000 [19:28:40<5:20:30, 1.28s/step] Training: 79%|███████▊ | 55008/70000 [19:28:41<5:23:35, 1.30s/step] Training: 79%|███████▊ | 55009/70000 [19:28:42<5:15:37, 1.26s/step] Training: 79%|███████▊ | 55010/70000 [19:28:44<5:21:51, 1.29s/step] Training: 79%|███████▊ | 55011/70000 [19:28:45<5:28:13, 1.31s/step] Training: 79%|███████▊ | 55012/70000 [19:28:46<5:29:49, 1.32s/step] Training: 79%|███████▊ | 55013/70000 [19:28:48<5:31:45, 1.33s/step] Training: 79%|███████▊ | 55014/70000 [19:28:49<5:23:58, 1.30s/step] Training: 79%|███████▊ | 55015/70000 [19:28:50<5:15:58, 1.27s/step] Training: 79%|███████▊ | 55016/70000 [19:28:51<5:20:56, 1.29s/step] Training: 79%|███████▊ | 55017/70000 [19:28:52<5:13:57, 1.26s/step] Training: 79%|███████▊ | 55018/70000 [19:28:54<5:22:33, 1.29s/step] Training: 79%|███████▊ | 55019/70000 [19:28:55<5:18:10, 1.27s/step] Training: 79%|███████▊ | 55020/70000 [19:28:56<5:14:28, 1.26s/step] Training: 79%|███████▊ | 55021/70000 [19:28:58<5:09:10, 1.24s/step] Training: 79%|███████▊ | 55022/70000 [19:28:59<5:17:15, 1.27s/step] Training: 79%|███████▊ | 55023/70000 [19:29:00<5:10:44, 1.24s/step] Training: 79%|███████▊ | 55024/70000 [19:29:01<5:16:42, 1.27s/step] Training: 79%|███████▊ | 55025/70000 [19:29:03<5:11:03, 1.25s/step] Training: 79%|███████▊ | 55026/70000 [19:29:04<5:16:53, 1.27s/step] Training: 79%|███████▊ | 55027/70000 [19:29:05<5:22:37, 1.29s/step] Training: 79%|███████▊ | 55028/70000 [19:29:06<5:17:38, 1.27s/step] Training: 79%|███████▊ | 55029/70000 [19:29:08<5:11:26, 1.25s/step] Training: 79%|███████▊ | 55030/70000 [19:29:09<5:24:59, 1.30s/step] Training: 79%|███████▊ | 55031/70000 [19:29:10<5:16:59, 1.27s/step] Training: 79%|███████▊ | 55032/70000 [19:29:11<5:12:45, 1.25s/step] Training: 79%|███████▊ | 55033/70000 [19:29:13<5:07:54, 1.23s/step] Training: 79%|███████▊ | 55034/70000 [19:29:14<5:18:55, 1.28s/step] Training: 79%|███████▊ | 55035/70000 [19:29:15<5:22:14, 1.29s/step] Training: 79%|███████▊ | 55036/70000 [19:29:17<5:26:01, 1.31s/step] Training: 79%|███████▊ | 55037/70000 [19:29:18<5:17:20, 1.27s/step] Training: 79%|███████▊ | 55038/70000 [19:29:19<5:21:10, 1.29s/step] Training: 79%|███████▊ | 55039/70000 [19:29:20<5:13:50, 1.26s/step] Training: 79%|███████▊ | 55040/70000 [19:29:22<5:19:15, 1.28s/step] Training: 79%|███████▊ | 55041/70000 [19:29:23<5:12:18, 1.25s/step] Training: 79%|███████▊ | 55042/70000 [19:29:24<5:18:26, 1.28s/step] Training: 79%|███████▊ | 55043/70000 [19:29:26<5:24:26, 1.30s/step] Training: 79%|███████▊ | 55044/70000 [19:29:27<5:27:24, 1.31s/step] Training: 79%|███████▊ | 55045/70000 [19:29:28<5:18:11, 1.28s/step] Training: 79%|███████▊ | 55046/70000 [19:29:29<5:15:35, 1.27s/step] Training: 79%|███████▊ | 55047/70000 [19:29:31<5:09:43, 1.24s/step] Training: 79%|███████▊ | 55048/70000 [19:29:32<5:16:31, 1.27s/step] Training: 79%|███████▊ | 55049/70000 [19:29:33<5:10:27, 1.25s/step] Training: 79%|███████▊ | 55050/70000 [19:29:35<5:20:05, 1.28s/step] Training: 79%|███████▊ | 55051/70000 [19:29:36<5:14:59, 1.26s/step] Training: 79%|███████▊ | 55052/70000 [19:29:37<5:20:05, 1.28s/step] Training: 79%|███████▊ | 55053/70000 [19:29:38<5:12:59, 1.26s/step] Training: 79%|███████▊ | 55054/70000 [19:29:39<5:11:03, 1.25s/step] Training: 79%|███████▊ | 55055/70000 [19:29:41<5:05:50, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=64925 Training: 79%|███████▊ | 55056/70000 [19:29:42<5:12:45, 1.26s/step] Training: 79%|███████▊ | 55057/70000 [19:29:43<5:07:56, 1.24s/step] Training: 79%|███████▊ | 55058/70000 [19:29:45<5:15:38, 1.27s/step] Training: 79%|███████▊ | 55059/70000 [19:29:46<5:19:58, 1.28s/step] Training: 79%|███████▊ | 55060/70000 [19:29:47<5:14:49, 1.26s/step] Training: 79%|███████▊ | 55061/70000 [19:29:48<5:09:12, 1.24s/step] Training: 79%|███████▊ | 55062/70000 [19:29:50<5:15:32, 1.27s/step] Training: 79%|███████▊ | 55063/70000 [19:29:51<5:21:43, 1.29s/step] Training: 79%|███████▊ | 55064/70000 [19:29:52<5:15:11, 1.27s/step] Training: 79%|███████▊ | 55065/70000 [19:29:53<5:09:25, 1.24s/step] Training: 79%|███████▊ | 55066/70000 [19:29:55<5:19:23, 1.28s/step] Training: 79%|███████▊ | 55067/70000 [19:29:56<5:22:58, 1.30s/step] Training: 79%|███████▊ | 55068/70000 [19:29:57<5:24:59, 1.31s/step] Training: 79%|███████▊ | 55069/70000 [19:29:59<5:16:20, 1.27s/step] Training: 79%|███████▊ | 55070/70000 [19:30:00<5:20:01, 1.29s/step] Training: 79%|███████▊ | 55071/70000 [19:30:01<5:19:48, 1.29s/step] Training: 79%|███████▊ | 55072/70000 [19:30:02<5:22:48, 1.30s/step] Training: 79%|███████▊ | 55073/70000 [19:30:04<5:14:40, 1.26s/step] Training: 79%|███████▊ | 55074/70000 [19:30:05<5:19:21, 1.28s/step] Training: 79%|███████▊ | 55075/70000 [19:30:06<5:22:37, 1.30s/step] Training: 79%|███████▊ | 55076/70000 [19:30:08<5:25:35, 1.31s/step] Training: 79%|███████▊ | 55077/70000 [19:30:09<5:16:40, 1.27s/step] Training: 79%|███████▊ | 55078/70000 [19:30:10<5:14:20, 1.26s/step] Training: 79%|███████▊ | 55079/70000 [19:30:11<5:22:34, 1.30s/step] Training: 79%|███████▊ | 55080/70000 [19:30:13<5:23:44, 1.30s/step] Training: 79%|███████▊ | 55081/70000 [19:30:14<5:15:21, 1.27s/step] Training: 79%|███████▊ | 55082/70000 [19:30:15<5:24:47, 1.31s/step] Training: 79%|███████▊ | 55083/70000 [19:30:17<5:18:21, 1.28s/step] Training: 79%|███████▊ | 55084/70000 [19:30:18<5:22:52, 1.30s/step] Training: 79%|███████▊ | 55085/70000 [19:30:19<5:14:53, 1.27s/step] Training: 79%|███████▊ | 55086/70000 [19:30:20<5:09:40, 1.25s/step] Training: 79%|███████▊ | 55087/70000 [19:30:22<5:17:59, 1.28s/step] Training: 79%|███████▊ | 55088/70000 [19:30:23<5:20:31, 1.29s/step] Training: 79%|███████▊ | 55089/70000 [19:30:24<5:13:16, 1.26s/step] Training: 79%|███████▊ | 55090/70000 [19:30:26<5:19:12, 1.28s/step] Training: 79%|███████▊ | 55091/70000 [19:30:27<5:23:09, 1.30s/step] Training: 79%|███████▊ | 55092/70000 [19:30:28<5:16:26, 1.27s/step] Training: 79%|███████▊ | 55093/70000 [19:30:29<5:10:23, 1.25s/step] Training: 79%|███████▊ | 55094/70000 [19:30:31<5:15:44, 1.27s/step] Training: 79%|███████▊ | 55095/70000 [19:30:32<5:09:42, 1.25s/step] Training: 79%|███████▊ | 55096/70000 [19:30:33<5:16:57, 1.28s/step] Training: 79%|███████▊ | 55097/70000 [19:30:34<5:10:02, 1.25s/step] Training: 79%|███████▊ | 55098/70000 [19:30:36<5:20:36, 1.29s/step] Training: 79%|███████▊ | 55099/70000 [19:30:37<5:23:07, 1.30s/step] Training: 79%|███████▊ | 55100/70000 [19:30:38<5:25:34, 1.31s/step]INFO 2026-03-13 15:40:30 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.70 loss:0.008 grdn:0.632 lr:3.6e-06 updt_s:1.257 data_s:0.019 Training: 79%|███████▊ | 55101/70000 [19:30:40<5:16:43, 1.28s/step] Training: 79%|███████▊ | 55102/70000 [19:30:41<5:20:59, 1.29s/step] Training: 79%|███████▊ | 55103/70000 [19:30:42<5:13:48, 1.26s/step] Training: 79%|███████▊ | 55104/70000 [19:30:43<5:24:50, 1.31s/step] Training: 79%|███████▊ | 55105/70000 [19:30:45<5:15:59, 1.27s/step] Training: 79%|███████▊ | 55106/70000 [19:30:46<5:20:21, 1.29s/step] Training: 79%|███████▊ | 55107/70000 [19:30:47<5:23:55, 1.31s/step] Training: 79%|███████▊ | 55108/70000 [19:30:49<5:26:10, 1.31s/step] Training: 79%|███████▊ | 55109/70000 [19:30:50<5:16:51, 1.28s/step] Training: 79%|███████▊ | 55110/70000 [19:30:51<5:13:32, 1.26s/step] Training: 79%|███████▊ | 55111/70000 [19:30:52<5:07:50, 1.24s/step] Training: 79%|███████▊ | 55112/70000 [19:30:54<5:17:00, 1.28s/step] Training: 79%|███████▊ | 55113/70000 [19:30:55<5:10:30, 1.25s/step] Training: 79%|███████▊ | 55114/70000 [19:30:56<5:19:55, 1.29s/step] Training: 79%|███████▊ | 55115/70000 [19:30:57<5:15:30, 1.27s/step] Training: 79%|███████▊ | 55116/70000 [19:30:59<5:20:15, 1.29s/step] Training: 79%|███████▊ | 55117/70000 [19:31:00<5:12:39, 1.26s/step] Training: 79%|███████▊ | 55118/70000 [19:31:01<5:08:36, 1.24s/step] Training: 79%|███████▊ | 55119/70000 [19:31:02<5:04:37, 1.23s/step] Training: 79%|███████▊ | 55120/70000 [19:31:04<5:11:34, 1.26s/step] Training: 79%|███████▊ | 55121/70000 [19:31:05<5:06:41, 1.24s/step] Training: 79%|███████▊ | 55122/70000 [19:31:06<5:14:20, 1.27s/step] Training: 79%|███████▊ | 55123/70000 [19:31:08<5:19:24, 1.29s/step] Training: 79%|███████▊ | 55124/70000 [19:31:09<5:13:29, 1.26s/step] Training: 79%|███████▉ | 55125/70000 [19:31:10<5:07:48, 1.24s/step] Training: 79%|███████▉ | 55126/70000 [19:31:11<5:13:56, 1.27s/step] Training: 79%|███████▉ | 55127/70000 [19:31:12<5:08:33, 1.24s/step] Training: 79%|███████▉ | 55128/70000 [19:31:14<5:06:19, 1.24s/step] Training: 79%|███████▉ | 55129/70000 [19:31:15<5:14:48, 1.27s/step] Training: 79%|███████▉ | 55130/70000 [19:31:16<5:11:13, 1.26s/step] Training: 79%|███████▉ | 55131/70000 [19:31:18<5:25:35, 1.31s/step] Training: 79%|███████▉ | 55132/70000 [19:31:19<5:26:16, 1.32s/step] Training: 79%|███████▉ | 55133/70000 [19:31:20<5:16:54, 1.28s/step] Training: 79%|███████▉ | 55134/70000 [19:31:22<5:20:50, 1.29s/step] Training: 79%|███████▉ | 55135/70000 [19:31:23<5:13:10, 1.26s/step] Training: 79%|███████▉ | 55136/70000 [19:31:24<5:17:39, 1.28s/step] Training: 79%|███████▉ | 55137/70000 [19:31:25<5:15:08, 1.27s/step] Training: 79%|███████▉ | 55138/70000 [19:31:27<5:10:29, 1.25s/step] Training: 79%|███████▉ | 55139/70000 [19:31:28<5:16:30, 1.28s/step] Training: 79%|███████▉ | 55140/70000 [19:31:29<5:19:45, 1.29s/step] Training: 79%|███████▉ | 55141/70000 [19:31:30<5:12:52, 1.26s/step] Training: 79%|███████▉ | 55142/70000 [19:31:32<5:09:19, 1.25s/step] Training: 79%|███████▉ | 55143/70000 [19:31:33<5:05:01, 1.23s/step] Training: 79%|███████▉ | 55144/70000 [19:31:34<5:12:14, 1.26s/step] Training: 79%|███████▉ | 55145/70000 [19:31:35<5:06:50, 1.24s/step] Training: 79%|███████▉ | 55146/70000 [19:31:37<5:20:11, 1.29s/step] Training: 79%|███████▉ | 55147/70000 [19:31:38<5:14:48, 1.27s/step] Training: 79%|███████▉ | 55148/70000 [19:31:39<5:18:38, 1.29s/step] Training: 79%|███████▉ | 55149/70000 [19:31:40<5:11:16, 1.26s/step] Training: 79%|███████▉ | 55150/70000 [19:31:42<5:07:40, 1.24s/step] Training: 79%|███████▉ | 55151/70000 [19:31:43<5:03:40, 1.23s/step] Training: 79%|███████▉ | 55152/70000 [19:31:44<5:11:23, 1.26s/step] Training: 79%|███████▉ | 55153/70000 [19:31:46<5:18:06, 1.29s/step] Training: 79%|███████▉ | 55154/70000 [19:31:47<5:20:30, 1.30s/step] Training: 79%|███████▉ | 55155/70000 [19:31:48<5:22:36, 1.30s/step] Training: 79%|███████▉ | 55156/70000 [19:31:49<5:15:37, 1.28s/step] Training: 79%|███████▉ | 55157/70000 [19:31:51<5:09:09, 1.25s/step] Training: 79%|███████▉ | 55158/70000 [19:31:52<5:15:01, 1.27s/step] Training: 79%|███████▉ | 55159/70000 [19:31:53<5:08:52, 1.25s/step] Training: 79%|███████▉ | 55160/70000 [19:31:54<5:05:42, 1.24s/step] Training: 79%|███████▉ | 55161/70000 [19:31:55<5:02:21, 1.22s/step] Training: 79%|███████▉ | 55162/70000 [19:31:57<5:19:31, 1.29s/step] Training: 79%|███████▉ | 55163/70000 [19:31:58<5:22:20, 1.30s/step] Training: 79%|███████▉ | 55164/70000 [19:32:00<5:30:33, 1.34s/step] Training: 79%|███████▉ | 55165/70000 [19:32:01<5:19:25, 1.29s/step] Training: 79%|███████▉ | 55166/70000 [19:32:02<5:22:15, 1.30s/step] Training: 79%|███████▉ | 55167/70000 [19:32:03<5:14:02, 1.27s/step] Training: 79%|███████▉ | 55168/70000 [19:32:05<5:18:28, 1.29s/step] Training: 79%|███████▉ | 55169/70000 [19:32:06<5:11:01, 1.26s/step] Training: 79%|███████▉ | 55170/70000 [19:32:07<5:25:11, 1.32s/step] Training: 79%|███████▉ | 55171/70000 [19:32:09<5:27:09, 1.32s/step] Training: 79%|███████▉ | 55172/70000 [19:32:10<5:26:51, 1.32s/step] Training: 79%|███████▉ | 55173/70000 [19:32:11<5:16:50, 1.28s/step] Training: 79%|███████▉ | 55174/70000 [19:32:12<5:12:36, 1.27s/step] Training: 79%|███████▉ | 55175/70000 [19:32:14<5:06:44, 1.24s/step] Training: 79%|███████▉ | 55176/70000 [19:32:15<5:13:21, 1.27s/step] Training: 79%|███████▉ | 55177/70000 [19:32:16<5:07:24, 1.24s/step] Training: 79%|███████▉ | 55178/70000 [19:32:18<5:17:20, 1.28s/step] Training: 79%|███████▉ | 55179/70000 [19:32:19<5:13:21, 1.27s/step] Training: 79%|███████▉ | 55180/70000 [19:32:20<5:07:33, 1.25s/step] Training: 79%|███████▉ | 55181/70000 [19:32:21<5:12:21, 1.26s/step] Training: 79%|███████▉ | 55182/70000 [19:32:22<5:08:34, 1.25s/step] Training: 79%|███████▉ | 55183/70000 [19:32:24<5:04:08, 1.23s/step] Training: 79%|███████▉ | 55184/70000 [19:32:25<5:12:06, 1.26s/step] Training: 79%|███████▉ | 55185/70000 [19:32:26<5:06:26, 1.24s/step] Training: 79%|███████▉ | 55186/70000 [19:32:28<5:15:43, 1.28s/step] Training: 79%|███████▉ | 55187/70000 [19:32:29<5:09:05, 1.25s/step] Training: 79%|███████▉ | 55188/70000 [19:32:30<5:13:50, 1.27s/step] Training: 79%|███████▉ | 55189/70000 [19:32:31<5:17:30, 1.29s/step] Training: 79%|███████▉ | 55190/70000 [19:32:33<5:20:21, 1.30s/step] Training: 79%|███████▉ | 55191/70000 [19:32:34<5:12:08, 1.26s/step] Training: 79%|███████▉ | 55192/70000 [19:32:35<5:07:49, 1.25s/step] Training: 79%|███████▉ | 55193/70000 [19:32:36<5:03:30, 1.23s/step] Training: 79%|███████▉ | 55194/70000 [19:32:38<5:13:27, 1.27s/step] Training: 79%|███████▉ | 55195/70000 [19:32:39<5:17:12, 1.29s/step] Training: 79%|███████▉ | 55196/70000 [19:32:40<5:20:05, 1.30s/step] Training: 79%|███████▉ | 55197/70000 [19:32:41<5:11:54, 1.26s/step] Training: 79%|███████▉ | 55198/70000 [19:32:43<5:16:37, 1.28s/step] Training: 79%|███████▉ | 55199/70000 [19:32:44<5:10:01, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=64925 Training: 79%|███████▉ | 55200/70000 [19:32:45<5:14:59, 1.28s/step]INFO 2026-03-13 15:42:37 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.79 loss:0.008 grdn:0.681 lr:3.6e-06 updt_s:1.249 data_s:0.019 Training: 79%|███████▉ | 55201/70000 [19:32:47<5:08:16, 1.25s/step] Training: 79%|███████▉ | 55202/70000 [19:32:48<5:15:31, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=68370 Training: 79%|███████▉ | 55203/70000 [19:32:49<5:20:48, 1.30s/step] Training: 79%|███████▉ | 55204/70000 [19:32:51<5:21:55, 1.31s/step] Training: 79%|███████▉ | 55205/70000 [19:32:52<5:13:11, 1.27s/step] Training: 79%|███████▉ | 55206/70000 [19:32:53<5:10:26, 1.26s/step] Training: 79%|███████▉ | 55207/70000 [19:32:54<5:05:34, 1.24s/step] Training: 79%|███████▉ | 55208/70000 [19:32:56<5:12:56, 1.27s/step] Training: 79%|███████▉ | 55209/70000 [19:32:57<5:06:54, 1.24s/step] Training: 79%|███████▉ | 55210/70000 [19:32:58<5:16:38, 1.28s/step] Training: 79%|███████▉ | 55211/70000 [19:32:59<5:18:08, 1.29s/step] Training: 79%|███████▉ | 55212/70000 [19:33:01<5:13:11, 1.27s/step] Training: 79%|███████▉ | 55213/70000 [19:33:02<5:07:07, 1.25s/step] Training: 79%|███████▉ | 55214/70000 [19:33:03<5:04:24, 1.24s/step] Training: 79%|███████▉ | 55215/70000 [19:33:04<5:01:17, 1.22s/step] Training: 79%|███████▉ | 55216/70000 [19:33:06<5:08:55, 1.25s/step] Training: 79%|███████▉ | 55217/70000 [19:33:07<5:04:38, 1.24s/step] Training: 79%|███████▉ | 55218/70000 [19:33:08<5:10:26, 1.26s/step] Training: 79%|███████▉ | 55219/70000 [19:33:09<5:05:15, 1.24s/step] Training: 79%|███████▉ | 55220/70000 [19:33:11<5:13:39, 1.27s/step] Training: 79%|███████▉ | 55221/70000 [19:33:12<5:07:19, 1.25s/step] Training: 79%|███████▉ | 55222/70000 [19:33:13<5:13:40, 1.27s/step] Training: 79%|███████▉ | 55223/70000 [19:33:14<5:07:54, 1.25s/step] Training: 79%|███████▉ | 55224/70000 [19:33:15<5:04:41, 1.24s/step] Training: 79%|███████▉ | 55225/70000 [19:33:17<5:01:17, 1.22s/step] Training: 79%|███████▉ | 55226/70000 [19:33:18<5:11:36, 1.27s/step] Training: 79%|███████▉ | 55227/70000 [19:33:19<5:17:54, 1.29s/step] Training: 79%|███████▉ | 55228/70000 [19:33:21<5:20:19, 1.30s/step] Training: 79%|███████▉ | 55229/70000 [19:33:22<5:11:54, 1.27s/step] Training: 79%|███████▉ | 55230/70000 [19:33:23<5:16:16, 1.28s/step] Training: 79%|███████▉ | 55231/70000 [19:33:24<5:09:18, 1.26s/step] Training: 79%|███████▉ | 55232/70000 [19:33:26<5:14:18, 1.28s/step] Training: 79%|███████▉ | 55233/70000 [19:33:27<5:07:48, 1.25s/step] Training: 79%|███████▉ | 55234/70000 [19:33:28<5:14:18, 1.28s/step] Training: 79%|███████▉ | 55235/70000 [19:33:29<5:09:29, 1.26s/step] Training: 79%|███████▉ | 55236/70000 [19:33:31<5:24:14, 1.32s/step] Training: 79%|███████▉ | 55237/70000 [19:33:32<5:14:38, 1.28s/step] Training: 79%|███████▉ | 55238/70000 [19:33:33<5:11:21, 1.27s/step] Training: 79%|███████▉ | 55239/70000 [19:33:35<5:05:38, 1.24s/step] Training: 79%|███████▉ | 55240/70000 [19:33:36<5:11:21, 1.27s/step] Training: 79%|███████▉ | 55241/70000 [19:33:37<5:05:27, 1.24s/step] Training: 79%|███████▉ | 55242/70000 [19:33:38<5:16:30, 1.29s/step] Training: 79%|███████▉ | 55243/70000 [19:33:40<5:13:02, 1.27s/step] Training: 79%|███████▉ | 55244/70000 [19:33:41<5:18:06, 1.29s/step] Training: 79%|███████▉ | 55245/70000 [19:33:42<5:10:06, 1.26s/step] Training: 79%|███████▉ | 55246/70000 [19:33:43<5:06:22, 1.25s/step] Training: 79%|███████▉ | 55247/70000 [19:33:45<5:02:31, 1.23s/step] Training: 79%|███████▉ | 55248/70000 [19:33:46<5:09:41, 1.26s/step] Training: 79%|███████▉ | 55249/70000 [19:33:47<5:04:31, 1.24s/step] Training: 79%|███████▉ | 55250/70000 [19:33:48<5:11:08, 1.27s/step] Training: 79%|███████▉ | 55251/70000 [19:33:50<5:05:19, 1.24s/step] Training: 79%|███████▉ | 55252/70000 [19:33:51<5:13:40, 1.28s/step] Training: 79%|███████▉ | 55253/70000 [19:33:52<5:07:12, 1.25s/step] Training: 79%|███████▉ | 55254/70000 [19:33:54<5:13:04, 1.27s/step] Training: 79%|███████▉ | 55255/70000 [19:33:55<5:06:59, 1.25s/step] Training: 79%|███████▉ | 55256/70000 [19:33:56<5:04:07, 1.24s/step] Training: 79%|███████▉ | 55257/70000 [19:33:57<5:00:27, 1.22s/step] Training: 79%|███████▉ | 55258/70000 [19:33:58<5:01:32, 1.23s/step] Training: 79%|███████▉ | 55259/70000 [19:34:00<5:16:09, 1.29s/step] Training: 79%|███████▉ | 55260/70000 [19:34:01<5:22:21, 1.31s/step] Training: 79%|███████▉ | 55261/70000 [19:34:02<5:13:11, 1.27s/step] Training: 79%|███████▉ | 55262/70000 [19:34:04<5:17:09, 1.29s/step] Training: 79%|███████▉ | 55263/70000 [19:34:05<5:09:36, 1.26s/step] Training: 79%|███████▉ | 55264/70000 [19:34:06<5:14:21, 1.28s/step] Training: 79%|███████▉ | 55265/70000 [19:34:07<5:07:46, 1.25s/step] Training: 79%|███████▉ | 55266/70000 [19:34:09<5:04:54, 1.24s/step] Training: 79%|███████▉ | 55267/70000 [19:34:10<5:06:25, 1.25s/step] Training: 79%|███████▉ | 55268/70000 [19:34:11<5:12:11, 1.27s/step] Training: 79%|███████▉ | 55269/70000 [19:34:12<5:06:13, 1.25s/step] Training: 79%|███████▉ | 55270/70000 [19:34:14<5:04:55, 1.24s/step] Training: 79%|███████▉ | 55271/70000 [19:34:15<5:01:15, 1.23s/step] Training: 79%|███████▉ | 55272/70000 [19:34:16<5:09:29, 1.26s/step] Training: 79%|███████▉ | 55273/70000 [19:34:17<5:04:10, 1.24s/step] Training: 79%|███████▉ | 55274/70000 [19:34:19<5:11:08, 1.27s/step] Training: 79%|███████▉ | 55275/70000 [19:34:20<5:08:17, 1.26s/step] Training: 79%|███████▉ | 55276/70000 [19:34:21<5:14:50, 1.28s/step] Training: 79%|███████▉ | 55277/70000 [19:34:23<5:19:30, 1.30s/step] Training: 79%|███████▉ | 55278/70000 [19:34:24<5:12:30, 1.27s/step] Training: 79%|███████▉ | 55279/70000 [19:34:25<5:06:24, 1.25s/step] Training: 79%|███████▉ | 55280/70000 [19:34:26<5:12:42, 1.27s/step] Training: 79%|███████▉ | 55281/70000 [19:34:28<5:06:13, 1.25s/step] Training: 79%|███████▉ | 55282/70000 [19:34:29<5:11:49, 1.27s/step] Training: 79%|███████▉ | 55283/70000 [19:34:30<5:16:30, 1.29s/step] Training: 79%|███████▉ | 55284/70000 [19:34:31<5:12:04, 1.27s/step] Training: 79%|███████▉ | 55285/70000 [19:34:33<5:12:37, 1.27s/step] Training: 79%|███████▉ | 55286/70000 [19:34:34<5:16:44, 1.29s/step] Training: 79%|███████▉ | 55287/70000 [19:34:35<5:09:05, 1.26s/step] Training: 79%|███████▉ | 55288/70000 [19:34:36<5:04:59, 1.24s/step] Training: 79%|███████▉ | 55289/70000 [19:34:38<5:01:36, 1.23s/step] Training: 79%|███████▉ | 55290/70000 [19:34:39<5:01:22, 1.23s/step] Training: 79%|███████▉ | 55291/70000 [19:34:40<5:08:55, 1.26s/step] Training: 79%|███████▉ | 55292/70000 [19:34:41<5:13:41, 1.28s/step] Training: 79%|███████▉ | 55293/70000 [19:34:43<5:18:39, 1.30s/step] Training: 79%|███████▉ | 55294/70000 [19:34:44<5:19:50, 1.30s/step] Training: 79%|███████▉ | 55295/70000 [19:34:45<5:11:34, 1.27s/step] Training: 79%|███████▉ | 55296/70000 [19:34:47<5:15:38, 1.29s/step] Training: 79%|███████▉ | 55297/70000 [19:34:48<5:08:23, 1.26s/step] Training: 79%|███████▉ | 55298/70000 [19:34:49<5:04:44, 1.24s/step] Training: 79%|███████▉ | 55299/70000 [19:34:50<5:13:43, 1.28s/step] Training: 79%|███████▉ | 55300/70000 [19:34:52<5:17:18, 1.30s/step]INFO 2026-03-13 15:44:44 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.87 loss:0.008 grdn:0.966 lr:3.5e-06 updt_s:1.243 data_s:0.019 Training: 79%|███████▉ | 55301/70000 [19:34:53<5:21:42, 1.31s/step] Training: 79%|███████▉ | 55302/70000 [19:34:54<5:15:11, 1.29s/step] Training: 79%|███████▉ | 55303/70000 [19:34:56<5:08:36, 1.26s/step] Training: 79%|███████▉ | 55304/70000 [19:34:57<5:13:01, 1.28s/step] Training: 79%|███████▉ | 55305/70000 [19:34:58<5:06:18, 1.25s/step] Training: 79%|███████▉ | 55306/70000 [19:34:59<5:12:11, 1.27s/step] Training: 79%|███████▉ | 55307/70000 [19:35:01<5:08:51, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=28852 Training: 79%|███████▉ | 55308/70000 [19:35:02<5:14:13, 1.28s/step] Training: 79%|███████▉ | 55309/70000 [19:35:03<5:07:26, 1.26s/step] Training: 79%|███████▉ | 55310/70000 [19:35:04<5:13:48, 1.28s/step] Training: 79%|███████▉ | 55311/70000 [19:35:06<5:06:20, 1.25s/step] Training: 79%|███████▉ | 55312/70000 [19:35:07<5:11:01, 1.27s/step] Training: 79%|███████▉ | 55313/70000 [19:35:08<5:04:53, 1.25s/step] Training: 79%|███████▉ | 55314/70000 [19:35:09<5:10:52, 1.27s/step] Training: 79%|███████▉ | 55315/70000 [19:35:11<5:16:01, 1.29s/step] Training: 79%|███████▉ | 55316/70000 [19:35:12<5:09:56, 1.27s/step] Training: 79%|███████▉ | 55317/70000 [19:35:13<5:04:33, 1.24s/step] Training: 79%|███████▉ | 55318/70000 [19:35:15<5:17:06, 1.30s/step] Training: 79%|███████▉ | 55319/70000 [19:35:16<5:09:25, 1.26s/step] Training: 79%|███████▉ | 55320/70000 [19:35:17<5:05:16, 1.25s/step] Training: 79%|███████▉ | 55321/70000 [19:35:18<5:00:55, 1.23s/step] Training: 79%|███████▉ | 55322/70000 [19:35:19<5:00:34, 1.23s/step] Training: 79%|███████▉ | 55323/70000 [19:35:21<5:07:48, 1.26s/step] Training: 79%|███████▉ | 55324/70000 [19:35:22<5:13:00, 1.28s/step] Training: 79%|███████▉ | 55325/70000 [19:35:23<5:06:16, 1.25s/step] Training: 79%|███████▉ | 55326/70000 [19:35:25<5:14:29, 1.29s/step] Training: 79%|███████▉ | 55327/70000 [19:35:26<5:07:45, 1.26s/step] Training: 79%|███████▉ | 55328/70000 [19:35:27<5:12:48, 1.28s/step] Training: 79%|███████▉ | 55329/70000 [19:35:28<5:06:19, 1.25s/step] Training: 79%|███████▉ | 55330/70000 [19:35:30<5:02:43, 1.24s/step] Training: 79%|███████▉ | 55331/70000 [19:35:31<5:13:20, 1.28s/step] Training: 79%|███████▉ | 55332/70000 [19:35:32<5:16:30, 1.29s/step] Training: 79%|███████▉ | 55333/70000 [19:35:33<5:08:40, 1.26s/step] Training: 79%|███████▉ | 55334/70000 [19:35:35<5:11:18, 1.27s/step] Training: 79%|███████▉ | 55335/70000 [19:35:36<5:04:38, 1.25s/step] Training: 79%|███████▉ | 55336/70000 [19:35:37<5:10:06, 1.27s/step] Training: 79%|███████▉ | 55337/70000 [19:35:38<5:04:20, 1.25s/step] Training: 79%|███████▉ | 55338/70000 [19:35:40<5:10:14, 1.27s/step] Training: 79%|███████▉ | 55339/70000 [19:35:41<5:07:04, 1.26s/step] Training: 79%|███████▉ | 55340/70000 [19:35:42<5:12:09, 1.28s/step] Training: 79%|███████▉ | 55341/70000 [19:35:44<5:05:36, 1.25s/step] Training: 79%|███████▉ | 55342/70000 [19:35:45<5:02:40, 1.24s/step] Training: 79%|███████▉ | 55343/70000 [19:35:46<5:10:33, 1.27s/step] Training: 79%|███████▉ | 55344/70000 [19:35:47<5:13:30, 1.28s/step] Training: 79%|███████▉ | 55345/70000 [19:35:49<5:06:42, 1.26s/step] Training: 79%|███████▉ | 55346/70000 [19:35:50<5:12:07, 1.28s/step] Training: 79%|███████▉ | 55347/70000 [19:35:51<5:17:00, 1.30s/step] Training: 79%|███████▉ | 55348/70000 [19:35:53<5:18:37, 1.30s/step] Training: 79%|███████▉ | 55349/70000 [19:35:54<5:10:09, 1.27s/step] Training: 79%|███████▉ | 55350/70000 [19:35:55<5:14:20, 1.29s/step] Training: 79%|███████▉ | 55351/70000 [19:35:56<5:12:30, 1.28s/step] Training: 79%|███████▉ | 55352/70000 [19:35:58<5:06:36, 1.26s/step] Training: 79%|███████▉ | 55353/70000 [19:35:59<5:01:45, 1.24s/step] Training: 79%|███████▉ | 55354/70000 [19:36:00<5:01:45, 1.24s/step] Training: 79%|███████▉ | 55355/70000 [19:36:01<5:08:25, 1.26s/step] Training: 79%|███████▉ | 55356/70000 [19:36:03<5:19:31, 1.31s/step] Training: 79%|███████▉ | 55357/70000 [19:36:04<5:11:07, 1.27s/step] Training: 79%|███████▉ | 55358/70000 [19:36:05<5:14:34, 1.29s/step] Training: 79%|███████▉ | 55359/70000 [19:36:06<5:07:11, 1.26s/step] Training: 79%|███████▉ | 55360/70000 [19:36:08<5:19:15, 1.31s/step] Training: 79%|███████▉ | 55361/70000 [19:36:09<5:10:28, 1.27s/step] Training: 79%|███████▉ | 55362/70000 [19:36:10<5:06:54, 1.26s/step] Training: 79%|███████▉ | 55363/70000 [19:36:12<5:14:59, 1.29s/step] Training: 79%|███████▉ | 55364/70000 [19:36:13<5:24:06, 1.33s/step] Training: 79%|███████▉ | 55365/70000 [19:36:14<5:14:28, 1.29s/step] Training: 79%|███████▉ | 55366/70000 [19:36:16<5:11:13, 1.28s/step] Training: 79%|███████▉ | 55367/70000 [19:36:17<5:17:26, 1.30s/step] Training: 79%|███████▉ | 55368/70000 [19:36:18<5:18:03, 1.30s/step] Training: 79%|███████▉ | 55369/70000 [19:36:19<5:09:40, 1.27s/step] Training: 79%|███████▉ | 55370/70000 [19:36:21<5:14:04, 1.29s/step] Training: 79%|███████▉ | 55371/70000 [19:36:22<5:12:05, 1.28s/step] Training: 79%|███████▉ | 55372/70000 [19:36:23<5:09:12, 1.27s/step] Training: 79%|███████▉ | 55373/70000 [19:36:24<5:03:47, 1.25s/step] Training: 79%|███████▉ | 55374/70000 [19:36:26<5:00:33, 1.23s/step] Training: 79%|███████▉ | 55375/70000 [19:36:27<4:57:24, 1.22s/step] Training: 79%|███████▉ | 55376/70000 [19:36:28<5:06:47, 1.26s/step] Training: 79%|███████▉ | 55377/70000 [19:36:29<5:01:09, 1.24s/step] Training: 79%|███████▉ | 55378/70000 [19:36:31<4:57:51, 1.22s/step] Training: 79%|███████▉ | 55379/70000 [19:36:32<5:14:15, 1.29s/step] Training: 79%|███████▉ | 55380/70000 [19:36:33<5:08:15, 1.27s/step] Training: 79%|███████▉ | 55381/70000 [19:36:34<5:02:40, 1.24s/step] Training: 79%|███████▉ | 55382/70000 [19:36:36<5:08:57, 1.27s/step] Training: 79%|███████▉ | 55383/70000 [19:36:37<5:03:22, 1.25s/step] Training: 79%|███████▉ | 55384/70000 [19:36:38<5:10:47, 1.28s/step] Training: 79%|███████▉ | 55385/70000 [19:36:39<5:03:44, 1.25s/step] Training: 79%|███████▉ | 55386/70000 [19:36:41<4:59:24, 1.23s/step] Training: 79%|███████▉ | 55387/70000 [19:36:42<5:14:09, 1.29s/step] Training: 79%|███████▉ | 55388/70000 [19:36:43<5:21:19, 1.32s/step] Training: 79%|███████▉ | 55389/70000 [19:36:45<5:11:54, 1.28s/step] Training: 79%|███████▉ | 55390/70000 [19:36:46<5:15:31, 1.30s/step] Training: 79%|███████▉ | 55391/70000 [19:36:47<5:08:00, 1.27s/step] Training: 79%|███████▉ | 55392/70000 [19:36:48<5:11:52, 1.28s/step] Training: 79%|███████▉ | 55393/70000 [19:36:50<5:04:59, 1.25s/step] Training: 79%|███████▉ | 55394/70000 [19:36:51<5:00:21, 1.23s/step] Training: 79%|███████▉ | 55395/70000 [19:36:52<5:08:49, 1.27s/step] Training: 79%|███████▉ | 55396/70000 [19:36:54<5:12:51, 1.29s/step] Training: 79%|███████▉ | 55397/70000 [19:36:55<5:06:05, 1.26s/step] Training: 79%|███████▉ | 55398/70000 [19:36:56<5:03:58, 1.25s/step] Training: 79%|███████▉ | 55399/70000 [19:36:57<5:00:03, 1.23s/step] Training: 79%|███████▉ | 55400/70000 [19:36:58<5:09:55, 1.27s/step]INFO 2026-03-13 15:46:51 ot_train.py:435 step:55K smpl:4M ep:12K epch:46.96 loss:0.008 grdn:1.010 lr:3.5e-06 updt_s:1.246 data_s:0.019 Training: 79%|███████▉ | 55401/70000 [19:37:00<5:03:42, 1.25s/step] Training: 79%|███████▉ | 55402/70000 [19:37:01<4:59:23, 1.23s/step] Training: 79%|███████▉ | 55403/70000 [19:37:02<5:13:22, 1.29s/step] Training: 79%|███████▉ | 55404/70000 [19:37:04<5:17:51, 1.31s/step] Training: 79%|███████▉ | 55405/70000 [19:37:05<5:09:13, 1.27s/step] Training: 79%|███████▉ | 55406/70000 [19:37:06<5:05:11, 1.25s/step] Training: 79%|███████▉ | 55407/70000 [19:37:07<5:00:19, 1.23s/step] Training: 79%|███████▉ | 55408/70000 [19:37:09<5:03:17, 1.25s/step] Training: 79%|███████▉ | 55409/70000 [19:37:10<4:58:14, 1.23s/step] Training: 79%|███████▉ | 55410/70000 [19:37:11<4:55:46, 1.22s/step] Training: 79%|███████▉ | 55411/70000 [19:37:12<5:04:24, 1.25s/step] Training: 79%|███████▉ | 55412/70000 [19:37:14<5:09:58, 1.27s/step] Training: 79%|███████▉ | 55413/70000 [19:37:15<5:03:42, 1.25s/step] Training: 79%|███████▉ | 55414/70000 [19:37:16<4:59:21, 1.23s/step] Training: 79%|███████▉ | 55415/70000 [19:37:17<5:05:48, 1.26s/step] Training: 79%|███████▉ | 55416/70000 [19:37:18<5:03:09, 1.25s/step] Training: 79%|███████▉ | 55417/70000 [19:37:20<5:10:43, 1.28s/step] Training: 79%|███████▉ | 55418/70000 [19:37:21<5:03:26, 1.25s/step] Training: 79%|███████▉ | 55419/70000 [19:37:22<5:09:53, 1.28s/step] Training: 79%|███████▉ | 55420/70000 [19:37:24<5:07:12, 1.26s/step] Training: 79%|███████▉ | 55421/70000 [19:37:25<5:01:42, 1.24s/step] Training: 79%|███████▉ | 55422/70000 [19:37:26<5:07:57, 1.27s/step] Training: 79%|███████▉ | 55423/70000 [19:37:27<5:02:28, 1.24s/step] Training: 79%|███████▉ | 55424/70000 [19:37:28<4:58:34, 1.23s/step] Training: 79%|███████▉ | 55425/70000 [19:37:30<5:06:07, 1.26s/step] Training: 79%|███████▉ | 55426/70000 [19:37:31<5:00:15, 1.24s/step] Training: 79%|███████▉ | 55427/70000 [19:37:32<5:07:11, 1.26s/step] Training: 79%|███████▉ | 55428/70000 [19:37:34<5:11:23, 1.28s/step] Training: 79%|███████▉ | 55429/70000 [19:37:35<5:05:00, 1.26s/step] Training: 79%|███████▉ | 55430/70000 [19:37:36<5:01:06, 1.24s/step] Training: 79%|███████▉ | 55431/70000 [19:37:37<4:57:21, 1.22s/step] Training: 79%|███████▉ | 55432/70000 [19:37:38<4:55:00, 1.22s/step] Training: 79%|███████▉ | 55433/70000 [19:37:40<5:08:52, 1.27s/step] Training: 79%|███████▉ | 55434/70000 [19:37:41<5:02:11, 1.24s/step] Training: 79%|███████▉ | 55435/70000 [19:37:42<5:10:49, 1.28s/step] Training: 79%|███████▉ | 55436/70000 [19:37:44<5:14:32, 1.30s/step] Training: 79%|███████▉ | 55437/70000 [19:37:45<5:06:59, 1.26s/step] Training: 79%|███████▉ | 55438/70000 [19:37:46<5:03:56, 1.25s/step] Training: 79%|███████▉ | 55439/70000 [19:37:47<4:59:24, 1.23s/step] Training: 79%|███████▉ | 55440/70000 [19:37:48<4:56:08, 1.22s/step] Training: 79%|███████▉ | 55441/70000 [19:37:50<5:06:11, 1.26s/step] Training: 79%|███████▉ | 55442/70000 [19:37:51<5:00:11, 1.24s/step] Training: 79%|███████▉ | 55443/70000 [19:37:52<5:07:50, 1.27s/step] Training: 79%|███████▉ | 55444/70000 [19:37:54<5:12:49, 1.29s/step] Training: 79%|███████▉ | 55445/70000 [19:37:55<5:05:30, 1.26s/step] Training: 79%|███████▉ | 55446/70000 [19:37:56<5:00:30, 1.24s/step] Training: 79%|███████▉ | 55447/70000 [19:37:57<5:06:57, 1.27s/step] Training: 79%|███████▉ | 55448/70000 [19:37:59<5:01:52, 1.24s/step] Training: 79%|███████▉ | 55449/70000 [19:38:00<5:10:30, 1.28s/step] Training: 79%|███████▉ | 55450/70000 [19:38:01<5:03:58, 1.25s/step] Training: 79%|███████▉ | 55451/70000 [19:38:03<5:10:30, 1.28s/step] Training: 79%|███████▉ | 55452/70000 [19:38:04<5:07:07, 1.27s/step] Training: 79%|███████▉ | 55453/70000 [19:38:05<5:01:21, 1.24s/step] Training: 79%|███████▉ | 55454/70000 [19:38:06<4:57:12, 1.23s/step] Training: 79%|███████▉ | 55455/70000 [19:38:07<4:54:19, 1.21s/step] Training: 79%|███████▉ | 55456/70000 [19:38:08<4:52:16, 1.21s/step] Training: 79%|███████▉ | 55457/70000 [19:38:10<5:01:45, 1.24s/step] Training: 79%|███████▉ | 55458/70000 [19:38:11<4:57:29, 1.23s/step] Training: 79%|███████▉ | 55459/70000 [19:38:12<5:06:26, 1.26s/step] Training: 79%|███████▉ | 55460/70000 [19:38:15<6:31:10, 1.61s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISMTOKENIZERS_PARALLELISM=(true | false) =(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 79%|███████▉ | 55461/70000 [19:38:19<9:17:56, 2.30s/step] Training: 79%|███████▉ | 55462/70000 [19:38:20<8:04:17, 2.00s/step] Training: 79%|███████▉ | 55463/70000 [19:38:21<7:06:10, 1.76s/step] Training: 79%|███████▉ | 55464/70000 [19:38:22<6:24:10, 1.59s/step] Training: 79%|███████▉ | 55465/70000 [19:38:24<6:09:16, 1.52s/step] Training: 79%|███████▉ | 55466/70000 [19:38:25<5:59:59, 1.49s/step] Training: 79%|███████▉ | 55467/70000 [19:38:27<5:53:53, 1.46s/step] Training: 79%|███████▉ | 55468/70000 [19:38:28<5:48:22, 1.44s/step] Training: 79%|███████▉ | 55469/70000 [19:38:29<5:43:22, 1.42s/step] Training: 79%|███████▉ | 55470/70000 [19:38:31<5:28:54, 1.36s/step] Training: 79%|███████▉ | 55471/70000 [19:38:32<5:16:51, 1.31s/step] Training: 79%|███████▉ | 55472/70000 [19:38:33<5:08:02, 1.27s/step] Training: 79%|███████▉ | 55473/70000 [19:38:34<5:02:54, 1.25s/step] Training: 79%|███████▉ | 55474/70000 [19:38:35<5:02:55, 1.25s/step] Training: 79%|███████▉ | 55475/70000 [19:38:37<5:09:35, 1.28s/step] Training: 79%|███████▉ | 55476/70000 [19:38:38<5:13:37, 1.30s/step] Training: 79%|███████▉ | 55477/70000 [19:38:39<5:05:52, 1.26s/step] Training: 79%|███████▉ | 55478/70000 [19:38:41<5:11:31, 1.29s/step] Training: 79%|███████▉ | 55479/70000 [19:38:42<5:04:38, 1.26s/step] Training: 79%|███████▉ | 55480/70000 [19:38:43<4:59:41, 1.24s/step] Training: 79%|███████▉ | 55481/70000 [19:38:44<5:05:47, 1.26s/step] Training: 79%|███████▉ | 55482/70000 [19:38:45<5:00:22, 1.24s/step] Training: 79%|███████▉ | 55483/70000 [19:38:47<5:14:11, 1.30s/step] Training: 79%|███████▉ | 55484/70000 [19:38:48<5:16:24, 1.31s/step] Training: 79%|███████▉ | 55485/70000 [19:38:49<5:07:50, 1.27s/step] Training: 79%|███████▉ | 55486/70000 [19:38:51<5:11:57, 1.29s/step] Training: 79%|███████▉ | 55487/70000 [19:38:52<5:04:40, 1.26s/step] Training: 79%|███████▉ | 55488/70000 [19:38:53<4:59:21, 1.24s/step] Training: 79%|███████▉ | 55489/70000 [19:38:54<5:06:02, 1.27s/step] Training: 79%|███████▉ | 55490/70000 [19:38:56<5:12:48, 1.29s/step] Training: 79%|███████▉ | 55491/70000 [19:38:57<5:15:29, 1.30s/step] Training: 79%|███████▉ | 55492/70000 [19:38:58<5:17:16, 1.31s/step] Training: 79%|███████▉ | 55493/70000 [19:39:00<5:08:32, 1.28s/step] Training: 79%|███████▉ | 55494/70000 [19:39:01<5:06:30, 1.27s/step] Training: 79%|███████▉ | 55495/70000 [19:39:02<5:01:04, 1.25s/step] Training: 79%|███████▉ | 55496/70000 [19:39:03<4:56:49, 1.23s/step] Training: 79%|███████▉ | 55497/70000 [19:39:05<5:03:55, 1.26s/step] Training: 79%|███████▉ | 55498/70000 [19:39:06<4:59:12, 1.24s/step] Training: 79%|███████▉ | 55499/70000 [19:39:07<5:14:27, 1.30s/step] Training: 79%|███████▉ | 55500/70000 [19:39:09<5:16:38, 1.31s/step]INFO 2026-03-13 15:49:01 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.04 loss:0.007 grdn:0.642 lr:3.5e-06 updt_s:1.242 data_s:0.057 Training: 79%|███████▉ | 55501/70000 [19:39:10<5:07:59, 1.27s/step] Training: 79%|███████▉ | 55502/70000 [19:39:11<5:03:38, 1.26s/step] Training: 79%|███████▉ | 55503/70000 [19:39:12<4:58:49, 1.24s/step] Training: 79%|███████▉ | 55504/70000 [19:39:13<4:55:14, 1.22s/step] Training: 79%|███████▉ | 55505/70000 [19:39:15<4:53:28, 1.21s/step] Training: 79%|███████▉ | 55506/70000 [19:39:16<4:51:42, 1.21s/step] Training: 79%|███████▉ | 55507/70000 [19:39:17<5:09:39, 1.28s/step] Training: 79%|███████▉ | 55508/70000 [19:39:19<5:13:34, 1.30s/step] Training: 79%|███████▉ | 55509/70000 [19:39:20<5:06:22, 1.27s/step] Training: 79%|███████▉ | 55510/70000 [19:39:21<5:10:51, 1.29s/step] Training: 79%|███████▉ | 55511/70000 [19:39:22<5:03:57, 1.26s/step] Training: 79%|███████▉ | 55512/70000 [19:39:23<4:58:46, 1.24s/step] Training: 79%|███████▉ | 55513/70000 [19:39:25<5:05:12, 1.26s/step] Training: 79%|███████▉ | 55514/70000 [19:39:26<4:59:45, 1.24s/step] Training: 79%|███████▉ | 55515/70000 [19:39:27<5:06:09, 1.27s/step] Training: 79%|███████▉ | 55516/70000 [19:39:29<5:10:56, 1.29s/step] Training: 79%|███████▉ | 55517/70000 [19:39:30<5:03:44, 1.26s/step] Training: 79%|███████▉ | 55518/70000 [19:39:31<5:08:51, 1.28s/step] Training: 79%|███████▉ | 55519/70000 [19:39:32<5:02:36, 1.25s/step] Training: 79%|███████▉ | 55520/70000 [19:39:34<4:57:54, 1.23s/step] Training: 79%|███████▉ | 55521/70000 [19:39:35<5:04:30, 1.26s/step] Training: 79%|███████▉ | 55522/70000 [19:39:36<4:59:09, 1.24s/step] Training: 79%|███████▉ | 55523/70000 [19:39:37<5:07:33, 1.27s/step] Training: 79%|███████▉ | 55524/70000 [19:39:39<5:11:35, 1.29s/step] Training: 79%|███████▉ | 55525/70000 [19:39:40<5:04:10, 1.26s/step] Training: 79%|███████▉ | 55526/70000 [19:39:41<5:01:47, 1.25s/step] Training: 79%|███████▉ | 55527/70000 [19:39:42<4:57:45, 1.23s/step] Training: 79%|███████▉ | 55528/70000 [19:39:44<4:54:26, 1.22s/step] Training: 79%|███████▉ | 55529/70000 [19:39:45<5:01:54, 1.25s/step] Training: 79%|███████▉ | 55530/70000 [19:39:46<4:57:33, 1.23s/step] Training: 79%|███████▉ | 55531/70000 [19:39:47<5:08:24, 1.28s/step] Training: 79%|███████▉ | 55532/70000 [19:39:49<5:12:15, 1.29s/step] Training: 79%|███████▉ | 55533/70000 [19:39:50<5:04:43, 1.26s/step] Training: 79%|███████▉ | 55534/70000 [19:39:51<5:00:42, 1.25s/step] Training: 79%|███████▉ | 55535/70000 [19:39:52<4:56:49, 1.23s/step] Training: 79%|███████▉ | 55536/70000 [19:39:54<4:53:41, 1.22s/step] Training: 79%|███████▉ | 55537/70000 [19:39:55<4:53:06, 1.22s/step] Training: 79%|███████▉ | 55538/70000 [19:39:56<4:51:06, 1.21s/step] Training: 79%|███████▉ | 55539/70000 [19:39:57<5:01:24, 1.25s/step] Training: 79%|███████▉ | 55540/70000 [19:39:59<5:15:30, 1.31s/step] Training: 79%|███████▉ | 55541/70000 [19:40:00<5:07:15, 1.28s/step] Training: 79%|███████▉ | 55542/70000 [19:40:01<5:12:08, 1.30s/step] Training: 79%|███████▉ | 55543/70000 [19:40:02<5:04:47, 1.26s/step] Training: 79%|███████▉ | 55544/70000 [19:40:04<4:59:11, 1.24s/step] Training: 79%|███████▉ | 55545/70000 [19:40:05<5:05:44, 1.27s/step] Training: 79%|███████▉ | 55546/70000 [19:40:06<5:00:03, 1.25s/step] Training: 79%|███████▉ | 55547/70000 [19:40:08<5:05:36, 1.27s/step] Training: 79%|███████▉ | 55548/70000 [19:40:09<5:06:21, 1.27s/step] Training: 79%|███████▉ | 55549/70000 [19:40:10<5:09:14, 1.28s/step] Training: 79%|███████▉ | 55550/70000 [19:40:11<5:13:12, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=55880 Training: 79%|███████▉ | 55551/70000 [19:40:13<5:06:16, 1.27s/step] Training: 79%|███████▉ | 55552/70000 [19:40:14<5:00:31, 1.25s/step] Training: 79%|███████▉ | 55553/70000 [19:40:15<5:05:40, 1.27s/step] Training: 79%|███████▉ | 55554/70000 [19:40:16<4:59:47, 1.25s/step] Training: 79%|███████▉ | 55555/70000 [19:40:18<5:05:32, 1.27s/step] Training: 79%|███████▉ | 55556/70000 [19:40:19<5:10:10, 1.29s/step] Training: 79%|███████▉ | 55557/70000 [19:40:20<5:13:56, 1.30s/step] Training: 79%|███████▉ | 55558/70000 [19:40:22<5:07:19, 1.28s/step] Training: 79%|███████▉ | 55559/70000 [19:40:23<5:01:00, 1.25s/step] Training: 79%|███████▉ | 55560/70000 [19:40:24<4:56:26, 1.23s/step] Training: 79%|███████▉ | 55561/70000 [19:40:25<5:03:55, 1.26s/step] Training: 79%|███████▉ | 55562/70000 [19:40:26<4:58:39, 1.24s/step] Training: 79%|███████▉ | 55563/70000 [19:40:28<5:06:57, 1.28s/step] Training: 79%|███████▉ | 55564/70000 [19:40:29<5:12:26, 1.30s/step] Training: 79%|███████▉ | 55565/70000 [19:40:30<5:03:53, 1.26s/step] Training: 79%|███████▉ | 55566/70000 [19:40:32<5:00:00, 1.25s/step] Training: 79%|███████▉ | 55567/70000 [19:40:33<4:55:59, 1.23s/step] Training: 79%|███████▉ | 55568/70000 [19:40:34<4:53:05, 1.22s/step] Training: 79%|███████▉ | 55569/70000 [19:40:35<4:52:00, 1.21s/step] Training: 79%|███████▉ | 55570/70000 [19:40:36<4:50:01, 1.21s/step] Training: 79%|███████▉ | 55571/70000 [19:40:38<4:59:19, 1.24s/step] Training: 79%|███████▉ | 55572/70000 [19:40:39<5:05:24, 1.27s/step] Training: 79%|███████▉ | 55573/70000 [19:40:40<5:10:57, 1.29s/step] Training: 79%|███████▉ | 55574/70000 [19:40:42<5:13:50, 1.31s/step] Training: 79%|███████▉ | 55575/70000 [19:40:43<5:05:53, 1.27s/step] Training: 79%|███████▉ | 55576/70000 [19:40:44<5:00:03, 1.25s/step] Training: 79%|███████▉ | 55577/70000 [19:40:45<5:06:03, 1.27s/step] Training: 79%|███████▉ | 55578/70000 [19:40:47<4:59:53, 1.25s/step] Training: 79%|███████▉ | 55579/70000 [19:40:48<5:06:54, 1.28s/step] Training: 79%|███████▉ | 55580/70000 [19:40:49<5:02:20, 1.26s/step] Training: 79%|███████▉ | 55581/70000 [19:40:51<5:09:22, 1.29s/step] Training: 79%|███████▉ | 55582/70000 [19:40:52<5:11:48, 1.30s/step] Training: 79%|███████▉ | 55583/70000 [19:40:53<5:04:35, 1.27s/step] Training: 79%|███████▉ | 55584/70000 [19:40:54<4:58:45, 1.24s/step] Training: 79%|███████▉ | 55585/70000 [19:40:56<5:04:35, 1.27s/step] Training: 79%|███████▉ | 55586/70000 [19:40:57<4:58:56, 1.24s/step] Training: 79%|███████▉ | 55587/70000 [19:40:58<5:05:28, 1.27s/step] Training: 79%|███████▉ | 55588/70000 [19:41:00<5:17:46, 1.32s/step] Training: 79%|███████▉ | 55589/70000 [19:41:01<5:08:32, 1.28s/step] Training: 79%|███████▉ | 55590/70000 [19:41:02<5:09:49, 1.29s/step] Training: 79%|███████▉ | 55591/70000 [19:41:03<5:02:37, 1.26s/step] Training: 79%|███████▉ | 55592/70000 [19:41:04<4:57:27, 1.24s/step] Training: 79%|███████▉ | 55593/70000 [19:41:06<5:03:53, 1.27s/step] Training: 79%|███████▉ | 55594/70000 [19:41:07<4:58:19, 1.24s/step] Training: 79%|███████▉ | 55595/70000 [19:41:08<5:07:13, 1.28s/step] Training: 79%|███████▉ | 55596/70000 [19:41:10<5:19:08, 1.33s/step] Training: 79%|███████▉ | 55597/70000 [19:41:11<5:23:53, 1.35s/step] Training: 79%|███████▉ | 55598/70000 [19:41:12<5:13:52, 1.31s/step] Training: 79%|███████▉ | 55599/70000 [19:41:14<5:05:27, 1.27s/step] Training: 79%|███████▉ | 55600/70000 [19:41:15<4:59:33, 1.25s/step]INFO 2026-03-13 15:51:07 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.13 loss:0.008 grdn:0.684 lr:3.4e-06 updt_s:1.240 data_s:0.019 Training: 79%|███████▉ | 55601/70000 [19:41:16<4:57:16, 1.24s/step] Training: 79%|███████▉ | 55602/70000 [19:41:17<4:53:45, 1.22s/step] Training: 79%|███████▉ | 55603/70000 [19:41:18<5:01:35, 1.26s/step] Training: 79%|███████▉ | 55604/70000 [19:41:20<5:06:48, 1.28s/step] Training: 79%|███████▉ | 55605/70000 [19:41:21<5:05:21, 1.27s/step] Training: 79%|███████▉ | 55606/70000 [19:41:22<5:08:46, 1.29s/step] Training: 79%|███████▉ | 55607/70000 [19:41:24<5:01:57, 1.26s/step] Training: 79%|███████▉ | 55608/70000 [19:41:25<4:57:08, 1.24s/step] Training: 79%|███████▉ | 55609/70000 [19:41:26<5:03:07, 1.26s/step] Training: 79%|███████▉ | 55610/70000 [19:41:27<4:57:51, 1.24s/step] Training: 79%|███████▉ | 55611/70000 [19:41:29<5:04:13, 1.27s/step] Training: 79%|███████▉ | 55612/70000 [19:41:30<4:59:32, 1.25s/step] Training: 79%|███████▉ | 55613/70000 [19:41:31<4:58:58, 1.25s/step] Training: 79%|███████▉ | 55614/70000 [19:41:32<5:06:39, 1.28s/step] Training: 79%|███████▉ | 55615/70000 [19:41:34<5:10:40, 1.30s/step] Training: 79%|███████▉ | 55616/70000 [19:41:35<5:02:58, 1.26s/step] Training: 79%|███████▉ | 55617/70000 [19:41:36<5:07:57, 1.28s/step] Training: 79%|███████▉ | 55618/70000 [19:41:37<5:00:55, 1.26s/step] Training: 79%|███████▉ | 55619/70000 [19:41:39<5:09:13, 1.29s/step] Training: 79%|███████▉ | 55620/70000 [19:41:40<5:12:07, 1.30s/step] Training: 79%|███████▉ | 55621/70000 [19:41:41<5:04:10, 1.27s/step] Training: 79%|███████▉ | 55622/70000 [19:41:43<5:07:59, 1.29s/step] Training: 79%|███████▉ | 55623/70000 [19:41:44<5:09:07, 1.29s/step] Training: 79%|███████▉ | 55624/70000 [19:41:45<5:01:47, 1.26s/step] Training: 79%|███████▉ | 55625/70000 [19:41:46<4:58:58, 1.25s/step] Training: 79%|███████▉ | 55626/70000 [19:41:48<4:54:52, 1.23s/step] Training: 79%|███████▉ | 55627/70000 [19:41:49<5:03:54, 1.27s/step] Training: 79%|███████▉ | 55628/70000 [19:41:50<5:09:33, 1.29s/step] Training: 79%|███████▉ | 55629/70000 [19:41:51<5:02:09, 1.26s/step] Training: 79%|███████▉ | 55630/70000 [19:41:53<5:08:24, 1.29s/step] Training: 79%|███████▉ | 55631/70000 [19:41:54<5:00:18, 1.25s/step] Training: 79%|███████▉ | 55632/70000 [19:41:55<4:55:40, 1.23s/step] Training: 79%|███████▉ | 55633/70000 [19:41:56<4:53:50, 1.23s/step] Training: 79%|███████▉ | 55634/70000 [19:41:58<4:51:15, 1.22s/step] Training: 79%|███████▉ | 55635/70000 [19:41:59<4:59:18, 1.25s/step] Training: 79%|███████▉ | 55636/70000 [19:42:00<5:04:23, 1.27s/step] Training: 79%|███████▉ | 55637/70000 [19:42:01<5:01:03, 1.26s/step] Training: 79%|███████▉ | 55638/70000 [19:42:03<5:07:23, 1.28s/step] Training: 79%|███████▉ | 55639/70000 [19:42:04<5:08:26, 1.29s/step] Training: 79%|███████▉ | 55640/70000 [19:42:05<5:01:07, 1.26s/step] Training: 79%|███████▉ | 55641/70000 [19:42:07<5:05:56, 1.28s/step] Training: 79%|███████▉ | 55642/70000 [19:42:08<4:59:22, 1.25s/step] Training: 79%|███████▉ | 55643/70000 [19:42:09<5:04:43, 1.27s/step] Training: 79%|███████▉ | 55644/70000 [19:42:10<5:08:20, 1.29s/step] Training: 79%|███████▉ | 55645/70000 [19:42:12<5:03:05, 1.27s/step] Training: 79%|███████▉ | 55646/70000 [19:42:13<4:57:48, 1.24s/step] Training: 79%|███████▉ | 55647/70000 [19:42:14<5:13:44, 1.31s/step] Training: 79%|███████▉ | 55648/70000 [19:42:16<5:05:19, 1.28s/step] Training: 79%|███████▉ | 55649/70000 [19:42:17<5:08:14, 1.29s/step] Training: 80%|███████▉ | 55650/70000 [19:42:18<5:01:25, 1.26s/step] Training: 80%|███████▉ | 55651/70000 [19:42:19<5:09:56, 1.30s/step] Training: 80%|███████▉ | 55652/70000 [19:42:21<5:16:08, 1.32s/step] Training: 80%|███████▉ | 55653/70000 [19:42:22<5:16:12, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=11265 Training: 80%|███████▉ | 55654/70000 [19:42:23<5:06:45, 1.28s/step] Training: 80%|███████▉ | 55655/70000 [19:42:25<5:10:50, 1.30s/step] Training: 80%|███████▉ | 55656/70000 [19:42:26<5:02:22, 1.26s/step] Training: 80%|███████▉ | 55657/70000 [19:42:27<4:59:39, 1.25s/step] Training: 80%|███████▉ | 55658/70000 [19:42:28<4:55:39, 1.24s/step] Training: 80%|███████▉ | 55659/70000 [19:42:30<5:03:22, 1.27s/step] Training: 80%|███████▉ | 55660/70000 [19:42:31<5:07:59, 1.29s/step] Training: 80%|███████▉ | 55661/70000 [19:42:32<5:10:28, 1.30s/step] Training: 80%|███████▉ | 55662/70000 [19:42:33<5:02:42, 1.27s/step] Training: 80%|███████▉ | 55663/70000 [19:42:35<5:16:29, 1.32s/step] Training: 80%|███████▉ | 55664/70000 [19:42:36<5:07:12, 1.29s/step] Training: 80%|███████▉ | 55665/70000 [19:42:37<5:01:50, 1.26s/step] Training: 80%|███████▉ | 55666/70000 [19:42:38<4:56:26, 1.24s/step] Training: 80%|███████▉ | 55667/70000 [19:42:40<5:03:14, 1.27s/step] Training: 80%|███████▉ | 55668/70000 [19:42:41<5:07:53, 1.29s/step] Training: 80%|███████▉ | 55669/70000 [19:42:42<5:03:08, 1.27s/step] Training: 80%|███████▉ | 55670/70000 [19:42:44<4:57:39, 1.25s/step] Training: 80%|███████▉ | 55671/70000 [19:42:45<5:05:39, 1.28s/step] Training: 80%|███████▉ | 55672/70000 [19:42:46<4:58:28, 1.25s/step] Training: 80%|███████▉ | 55673/70000 [19:42:47<5:04:11, 1.27s/step] Training: 80%|███████▉ | 55674/70000 [19:42:49<4:58:11, 1.25s/step] Training: 80%|███████▉ | 55675/70000 [19:42:50<4:57:27, 1.25s/step] Training: 80%|███████▉ | 55676/70000 [19:42:51<5:11:28, 1.30s/step] Training: 80%|███████▉ | 55677/70000 [19:42:53<5:04:46, 1.28s/step] Training: 80%|███████▉ | 55678/70000 [19:42:54<4:58:35, 1.25s/step] Training: 80%|███████▉ | 55679/70000 [19:42:55<5:00:37, 1.26s/step] Training: 80%|███████▉ | 55680/70000 [19:42:56<4:54:56, 1.24s/step] Training: 80%|███████▉ | 55681/70000 [19:42:58<5:01:53, 1.27s/step] Training: 80%|███████▉ | 55682/70000 [19:42:59<4:56:28, 1.24s/step] Training: 80%|███████▉ | 55683/70000 [19:43:00<5:04:03, 1.27s/step] Training: 80%|███████▉ | 55684/70000 [19:43:02<5:33:49, 1.40s/step] Training: 80%|███████▉ | 55685/70000 [19:43:03<5:28:35, 1.38s/step] Training: 80%|███████▉ | 55686/70000 [19:43:04<5:15:02, 1.32s/step] Training: 80%|███████▉ | 55687/70000 [19:43:05<5:06:58, 1.29s/step] Training: 80%|███████▉ | 55688/70000 [19:43:07<5:10:59, 1.30s/step] Training: 80%|███████▉ | 55689/70000 [19:43:08<5:04:37, 1.28s/step] Training: 80%|███████▉ | 55690/70000 [19:43:09<4:58:34, 1.25s/step] Training: 80%|███████▉ | 55691/70000 [19:43:11<5:05:23, 1.28s/step] Training: 80%|███████▉ | 55692/70000 [19:43:12<5:09:09, 1.30s/step] Training: 80%|███████▉ | 55693/70000 [19:43:13<5:11:28, 1.31s/step] Training: 80%|███████▉ | 55694/70000 [19:43:14<5:03:27, 1.27s/step] Training: 80%|███████▉ | 55695/70000 [19:43:16<5:07:43, 1.29s/step] Training: 80%|███████▉ | 55696/70000 [19:43:17<5:08:18, 1.29s/step] Training: 80%|███████▉ | 55697/70000 [19:43:18<5:01:14, 1.26s/step] Training: 80%|███████▉ | 55698/70000 [19:43:19<4:55:45, 1.24s/step] Training: 80%|███████▉ | 55699/70000 [19:43:21<5:02:44, 1.27s/step] Training: 80%|███████▉ | 55700/70000 [19:43:22<5:14:05, 1.32s/step]INFO 2026-03-13 15:53:14 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.21 loss:0.007 grdn:0.596 lr:3.4e-06 updt_s:1.254 data_s:0.019 Training: 80%|███████▉ | 55701/70000 [19:43:23<5:07:11, 1.29s/step] Training: 80%|███████▉ | 55702/70000 [19:43:25<4:59:48, 1.26s/step] Training: 80%|███████▉ | 55703/70000 [19:43:26<5:04:30, 1.28s/step] Training: 80%|███████▉ | 55704/70000 [19:43:27<5:09:48, 1.30s/step] Training: 80%|███████▉ | 55705/70000 [19:43:29<5:10:34, 1.30s/step] Training: 80%|███████▉ | 55706/70000 [19:43:30<5:02:13, 1.27s/step] Training: 80%|███████▉ | 55707/70000 [19:43:31<4:58:31, 1.25s/step] Training: 80%|███████▉ | 55708/70000 [19:43:32<5:03:19, 1.27s/step] Training: 80%|███████▉ | 55709/70000 [19:43:34<5:06:04, 1.29s/step] Training: 80%|███████▉ | 55710/70000 [19:43:35<4:59:02, 1.26s/step] Training: 80%|███████▉ | 55711/70000 [19:43:36<4:57:52, 1.25s/step] Training: 80%|███████▉ | 55712/70000 [19:43:37<4:53:32, 1.23s/step] Training: 80%|███████▉ | 55713/70000 [19:43:39<5:05:49, 1.28s/step] Training: 80%|███████▉ | 55714/70000 [19:43:40<4:58:56, 1.26s/step] Training: 80%|███████▉ | 55715/70000 [19:43:41<5:03:52, 1.28s/step] Training: 80%|███████▉ | 55716/70000 [19:43:43<5:08:20, 1.30s/step] Training: 80%|███████▉ | 55717/70000 [19:43:44<5:18:04, 1.34s/step] Training: 80%|███████▉ | 55718/70000 [19:43:45<5:07:31, 1.29s/step] Training: 80%|███████▉ | 55719/70000 [19:43:46<5:01:27, 1.27s/step] Training: 80%|███████▉ | 55720/70000 [19:43:48<4:56:21, 1.25s/step] Training: 80%|███████▉ | 55721/70000 [19:43:49<5:03:00, 1.27s/step] Training: 80%|███████▉ | 55722/70000 [19:43:50<4:56:22, 1.25s/step] Training: 80%|███████▉ | 55723/70000 [19:43:51<5:03:12, 1.27s/step] Training: 80%|███████▉ | 55724/70000 [19:43:53<5:07:37, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=62092 Training: 80%|███████▉ | 55725/70000 [19:43:54<5:10:03, 1.30s/step] Training: 80%|███████▉ | 55726/70000 [19:43:55<5:01:55, 1.27s/step] Training: 80%|███████▉ | 55727/70000 [19:43:57<5:06:22, 1.29s/step] Training: 80%|███████▉ | 55728/70000 [19:43:58<4:59:31, 1.26s/step] Training: 80%|███████▉ | 55729/70000 [19:43:59<4:55:18, 1.24s/step] Training: 80%|███████▉ | 55730/70000 [19:44:00<4:51:36, 1.23s/step] Training: 80%|███████▉ | 55731/70000 [19:44:01<4:59:46, 1.26s/step] Training: 80%|███████▉ | 55732/70000 [19:44:03<4:57:05, 1.25s/step] Training: 80%|███████▉ | 55733/70000 [19:44:04<5:01:41, 1.27s/step] Training: 80%|███████▉ | 55734/70000 [19:44:05<4:56:23, 1.25s/step] Training: 80%|███████▉ | 55735/70000 [19:44:07<5:01:39, 1.27s/step] Training: 80%|███████▉ | 55736/70000 [19:44:08<4:55:59, 1.25s/step] Training: 80%|███████▉ | 55737/70000 [19:44:09<5:04:27, 1.28s/step] Training: 80%|███████▉ | 55738/70000 [19:44:10<4:57:45, 1.25s/step] Training: 80%|███████▉ | 55739/70000 [19:44:11<4:54:21, 1.24s/step] Training: 80%|███████▉ | 55740/70000 [19:44:13<4:52:44, 1.23s/step] Training: 80%|███████▉ | 55741/70000 [19:44:14<5:08:19, 1.30s/step] Training: 80%|███████▉ | 55742/70000 [19:44:15<5:00:39, 1.27s/step] Training: 80%|███████▉ | 55743/70000 [19:44:17<4:58:17, 1.26s/step] Training: 80%|███████▉ | 55744/70000 [19:44:18<4:53:26, 1.24s/step] Training: 80%|███████▉ | 55745/70000 [19:44:19<4:59:53, 1.26s/step] Training: 80%|███████▉ | 55746/70000 [19:44:20<4:54:44, 1.24s/step] Training: 80%|███████▉ | 55747/70000 [19:44:22<5:00:47, 1.27s/step] Training: 80%|███████▉ | 55748/70000 [19:44:23<5:05:45, 1.29s/step] Training: 80%|███████▉ | 55749/70000 [19:44:24<5:08:42, 1.30s/step] Training: 80%|███████▉ | 55750/70000 [19:44:25<5:00:48, 1.27s/step] Training: 80%|███████▉ | 55751/70000 [19:44:27<4:56:37, 1.25s/step] Training: 80%|███████▉ | 55752/70000 [19:44:28<4:52:23, 1.23s/step] Training: 80%|███████▉ | 55753/70000 [19:44:29<4:51:45, 1.23s/step] Training: 80%|███████▉ | 55754/70000 [19:44:30<5:01:10, 1.27s/step] Training: 80%|███████▉ | 55755/70000 [19:44:32<5:04:26, 1.28s/step] Training: 80%|███████▉ | 55756/70000 [19:44:33<5:08:51, 1.30s/step] Training: 80%|███████▉ | 55757/70000 [19:44:34<5:13:30, 1.32s/step] Training: 80%|███████▉ | 55758/70000 [19:44:36<5:03:57, 1.28s/step] Training: 80%|███████▉ | 55759/70000 [19:44:37<5:08:07, 1.30s/step] Training: 80%|███████▉ | 55760/70000 [19:44:38<5:00:44, 1.27s/step] Training: 80%|███████▉ | 55761/70000 [19:44:39<4:56:42, 1.25s/step] Training: 80%|███████▉ | 55762/70000 [19:44:41<4:57:56, 1.26s/step] Training: 80%|███████▉ | 55763/70000 [19:44:42<5:04:25, 1.28s/step] Training: 80%|███████▉ | 55764/70000 [19:44:43<5:00:05, 1.26s/step] Training: 80%|███████▉ | 55765/70000 [19:44:45<5:00:03, 1.26s/step] Training: 80%|███████▉ | 55766/70000 [19:44:46<5:04:13, 1.28s/step] Training: 80%|███████▉ | 55767/70000 [19:44:47<5:07:06, 1.29s/step] Training: 80%|███████▉ | 55768/70000 [19:44:48<4:59:51, 1.26s/step] Training: 80%|███████▉ | 55769/70000 [19:44:50<5:04:42, 1.28s/step] Training: 80%|███████▉ | 55770/70000 [19:44:51<4:57:47, 1.26s/step] Training: 80%|███████▉ | 55771/70000 [19:44:52<5:04:13, 1.28s/step] Training: 80%|███████▉ | 55772/70000 [19:44:53<5:00:35, 1.27s/step] Training: 80%|███████▉ | 55773/70000 [19:44:55<4:56:19, 1.25s/step] Training: 80%|███████▉ | 55774/70000 [19:44:56<5:01:13, 1.27s/step] Training: 80%|███████▉ | 55775/70000 [19:44:57<5:00:02, 1.27s/step] Training: 80%|███████▉ | 55776/70000 [19:44:58<4:54:44, 1.24s/step] Training: 80%|███████▉ | 55777/70000 [19:45:00<5:00:49, 1.27s/step] Training: 80%|███████▉ | 55778/70000 [19:45:01<5:07:12, 1.30s/step] Training: 80%|███████▉ | 55779/70000 [19:45:02<5:08:42, 1.30s/step] Training: 80%|███████▉ | 55780/70000 [19:45:04<5:13:06, 1.32s/step] Training: 80%|███████▉ | 55781/70000 [19:45:05<5:13:17, 1.32s/step] Training: 80%|███████▉ | 55782/70000 [19:45:06<5:12:50, 1.32s/step] Training: 80%|███████▉ | 55783/70000 [19:45:08<5:04:22, 1.28s/step] Training: 80%|███████▉ | 55784/70000 [19:45:09<4:57:39, 1.26s/step] Training: 80%|███████▉ | 55785/70000 [19:45:10<4:55:45, 1.25s/step] Training: 80%|███████▉ | 55786/70000 [19:45:11<4:51:16, 1.23s/step] Training: 80%|███████▉ | 55787/70000 [19:45:13<5:04:56, 1.29s/step] Training: 80%|███████▉ | 55788/70000 [19:45:14<5:09:20, 1.31s/step] Training: 80%|███████▉ | 55789/70000 [19:45:15<5:12:17, 1.32s/step] Training: 80%|███████▉ | 55790/70000 [19:45:17<5:11:55, 1.32s/step] Training: 80%|███████▉ | 55791/70000 [19:45:18<5:12:35, 1.32s/step] Training: 80%|███████▉ | 55792/70000 [19:45:19<5:03:29, 1.28s/step] Training: 80%|███████▉ | 55793/70000 [19:45:20<4:57:47, 1.26s/step] Training: 80%|███████▉ | 55794/70000 [19:45:22<4:53:00, 1.24s/step] Training: 80%|███████▉ | 55795/70000 [19:45:23<5:05:30, 1.29s/step] Training: 80%|███████▉ | 55796/70000 [19:45:24<5:01:42, 1.27s/step] Training: 80%|███████▉ | 55797/70000 [19:45:25<5:00:29, 1.27s/step] Training: 80%|███████▉ | 55798/70000 [19:45:27<4:59:43, 1.27s/step] Training: 80%|███████▉ | 55799/70000 [19:45:28<5:04:08, 1.28s/step] Training: 80%|███████▉ | 55800/70000 [19:45:29<4:57:28, 1.26s/step]INFO 2026-03-13 15:55:21 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.30 loss:0.007 grdn:0.672 lr:3.4e-06 updt_s:1.250 data_s:0.019 Training: 80%|███████▉ | 55801/70000 [19:45:31<5:02:49, 1.28s/step] Training: 80%|███████▉ | 55802/70000 [19:45:32<4:57:19, 1.26s/step] Training: 80%|███████▉ | 55803/70000 [19:45:33<4:54:01, 1.24s/step] Training: 80%|███████▉ | 55804/70000 [19:45:34<4:52:17, 1.24s/step] Training: 80%|███████▉ | 55805/70000 [19:45:35<4:50:18, 1.23s/step] Training: 80%|███████▉ | 55806/70000 [19:45:37<4:55:46, 1.25s/step] Training: 80%|███████▉ | 55807/70000 [19:45:38<4:54:03, 1.24s/step] Training: 80%|███████▉ | 55808/70000 [19:45:39<4:50:03, 1.23s/step] Training: 80%|███████▉ | 55809/70000 [19:45:40<4:57:10, 1.26s/step] Training: 80%|███████▉ | 55810/70000 [19:45:42<4:52:20, 1.24s/step] Training: 80%|███████▉ | 55811/70000 [19:45:43<5:01:36, 1.28s/step] Training: 80%|███████▉ | 55812/70000 [19:45:44<5:05:26, 1.29s/step] Training: 80%|███████▉ | 55813/70000 [19:45:46<5:08:02, 1.30s/step] Training: 80%|███████▉ | 55814/70000 [19:45:47<5:09:51, 1.31s/step] Training: 80%|███████▉ | 55815/70000 [19:45:48<5:03:11, 1.28s/step] Training: 80%|███████▉ | 55816/70000 [19:45:49<4:56:38, 1.25s/step] Training: 80%|███████▉ | 55817/70000 [19:45:51<4:54:36, 1.25s/step] Training: 80%|███████▉ | 55818/70000 [19:45:52<4:50:40, 1.23s/step] Training: 80%|███████▉ | 55819/70000 [19:45:53<4:47:58, 1.22s/step] Training: 80%|███████▉ | 55820/70000 [19:45:54<5:02:17, 1.28s/step] Training: 80%|███████▉ | 55821/70000 [19:45:56<5:07:26, 1.30s/step] Training: 80%|███████▉ | 55822/70000 [19:45:57<5:08:58, 1.31s/step] Training: 80%|███████▉ | 55823/70000 [19:45:58<5:11:34, 1.32s/step] Training: 80%|███████▉ | 55824/70000 [19:46:00<5:02:30, 1.28s/step] Training: 80%|███████▉ | 55825/70000 [19:46:01<4:57:13, 1.26s/step] Training: 80%|███████▉ | 55826/70000 [19:46:02<4:52:28, 1.24s/step] Training: 80%|███████▉ | 55827/70000 [19:46:03<4:48:53, 1.22s/step] Training: 80%|███████▉ | 55828/70000 [19:46:05<4:57:55, 1.26s/step] Training: 80%|███████▉ | 55829/70000 [19:46:06<4:57:42, 1.26s/step] Training: 80%|███████▉ | 55830/70000 [19:46:07<5:02:01, 1.28s/step] Training: 80%|███████▉ | 55831/70000 [19:46:09<5:05:01, 1.29s/step] Training: 80%|███████▉ | 55832/70000 [19:46:10<4:57:58, 1.26s/step] Training: 80%|███████▉ | 55833/70000 [19:46:11<5:02:11, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=11265 Training: 80%|███████▉ | 55834/70000 [19:46:12<4:55:59, 1.25s/step] Training: 80%|███████▉ | 55835/70000 [19:46:13<4:51:24, 1.23s/step] Training: 80%|███████▉ | 55836/70000 [19:46:15<4:54:01, 1.25s/step] Training: 80%|███████▉ | 55837/70000 [19:46:16<4:50:58, 1.23s/step] Training: 80%|███████▉ | 55838/70000 [19:46:17<4:56:29, 1.26s/step] Training: 80%|███████▉ | 55839/70000 [19:46:18<4:55:23, 1.25s/step] Training: 80%|███████▉ | 55840/70000 [19:46:20<4:50:48, 1.23s/step] Training: 80%|███████▉ | 55841/70000 [19:46:21<4:47:41, 1.22s/step] Training: 80%|███████▉ | 55842/70000 [19:46:22<4:55:08, 1.25s/step] Training: 80%|███████▉ | 55843/70000 [19:46:23<4:50:59, 1.23s/step] Training: 80%|███████▉ | 55844/70000 [19:46:25<4:59:25, 1.27s/step] Training: 80%|███████▉ | 55845/70000 [19:46:26<5:03:30, 1.29s/step] Training: 80%|███████▉ | 55846/70000 [19:46:27<5:06:47, 1.30s/step] Training: 80%|███████▉ | 55847/70000 [19:46:29<5:00:09, 1.27s/step] Training: 80%|███████▉ | 55848/70000 [19:46:30<4:54:32, 1.25s/step] Training: 80%|███████▉ | 55849/70000 [19:46:31<4:50:22, 1.23s/step] Training: 80%|███████▉ | 55850/70000 [19:46:32<4:55:25, 1.25s/step] Training: 80%|███████▉ | 55851/70000 [19:46:33<4:50:19, 1.23s/step] Training: 80%|███████▉ | 55852/70000 [19:46:35<4:56:32, 1.26s/step] Training: 80%|███████▉ | 55853/70000 [19:46:36<5:09:10, 1.31s/step] Training: 80%|███████▉ | 55854/70000 [19:46:38<5:10:23, 1.32s/step] Training: 80%|███████▉ | 55855/70000 [19:46:39<5:11:17, 1.32s/step] Training: 80%|███████▉ | 55856/70000 [19:46:40<5:01:56, 1.28s/step] Training: 80%|███████▉ | 55857/70000 [19:46:41<4:55:30, 1.25s/step] Training: 80%|███████▉ | 55858/70000 [19:46:42<4:51:09, 1.24s/step] Training: 80%|███████▉ | 55859/70000 [19:46:44<4:47:54, 1.22s/step] Training: 80%|███████▉ | 55860/70000 [19:46:45<4:48:24, 1.22s/step] Training: 80%|███████▉ | 55861/70000 [19:46:46<5:00:10, 1.27s/step] Training: 80%|███████▉ | 55862/70000 [19:46:48<5:04:21, 1.29s/step] Training: 80%|███████▉ | 55863/70000 [19:46:49<5:07:53, 1.31s/step] Training: 80%|███████▉ | 55864/70000 [19:46:50<5:00:04, 1.27s/step] Training: 80%|███████▉ | 55865/70000 [19:46:51<4:54:09, 1.25s/step] Training: 80%|███████▉ | 55866/70000 [19:46:53<4:57:14, 1.26s/step] Training: 80%|███████▉ | 55867/70000 [19:46:54<4:52:08, 1.24s/step] Training: 80%|███████▉ | 55868/70000 [19:46:55<4:49:45, 1.23s/step] Training: 80%|███████▉ | 55869/70000 [19:46:56<4:48:50, 1.23s/step] Training: 80%|███████▉ | 55870/70000 [19:46:58<4:56:32, 1.26s/step] Training: 80%|███████▉ | 55871/70000 [19:46:59<4:55:09, 1.25s/step] Training: 80%|███████▉ | 55872/70000 [19:47:00<4:50:47, 1.23s/step] Training: 80%|███████▉ | 55873/70000 [19:47:01<4:47:40, 1.22s/step] Training: 80%|███████▉ | 55874/70000 [19:47:02<4:54:43, 1.25s/step] Training: 80%|███████▉ | 55875/70000 [19:47:04<4:50:21, 1.23s/step] Training: 80%|███████▉ | 55876/70000 [19:47:05<4:59:43, 1.27s/step] Training: 80%|███████▉ | 55877/70000 [19:47:06<5:05:17, 1.30s/step] Training: 80%|███████▉ | 55878/70000 [19:47:08<5:06:48, 1.30s/step] Training: 80%|███████▉ | 55879/70000 [19:47:09<5:00:34, 1.28s/step] Training: 80%|███████▉ | 55880/70000 [19:47:10<4:54:36, 1.25s/step] Training: 80%|███████▉ | 55881/70000 [19:47:11<4:50:36, 1.23s/step] Training: 80%|███████▉ | 55882/70000 [19:47:13<4:49:12, 1.23s/step] Training: 80%|███████▉ | 55883/70000 [19:47:14<4:46:59, 1.22s/step] Training: 80%|███████▉ | 55884/70000 [19:47:15<4:55:12, 1.25s/step] Training: 80%|███████▉ | 55885/70000 [19:47:16<5:04:20, 1.29s/step] Training: 80%|███████▉ | 55886/70000 [19:47:18<5:20:56, 1.36s/step] Training: 80%|███████▉ | 55887/70000 [19:47:19<5:18:19, 1.35s/step] Training: 80%|███████▉ | 55888/70000 [19:47:20<5:07:08, 1.31s/step] Training: 80%|███████▉ | 55889/70000 [19:47:22<4:58:40, 1.27s/step] Training: 80%|███████▉ | 55890/70000 [19:47:23<5:03:18, 1.29s/step] Training: 80%|███████▉ | 55891/70000 [19:47:24<4:56:11, 1.26s/step] Training: 80%|███████▉ | 55892/70000 [19:47:26<5:03:44, 1.29s/step] Training: 80%|███████▉ | 55893/70000 [19:47:27<5:02:29, 1.29s/step] Training: 80%|███████▉ | 55894/70000 [19:47:28<5:12:22, 1.33s/step] Training: 80%|███████▉ | 55895/70000 [19:47:30<5:12:44, 1.33s/step] Training: 80%|███████▉ | 55896/70000 [19:47:31<5:03:05, 1.29s/step] Training: 80%|███████▉ | 55897/70000 [19:47:32<4:55:57, 1.26s/step] Training: 80%|███████▉ | 55898/70000 [19:47:33<5:00:22, 1.28s/step] Training: 80%|███████▉ | 55899/70000 [19:47:34<4:54:09, 1.25s/step] Training: 80%|███████▉ | 55900/70000 [19:47:36<4:59:24, 1.27s/step]INFO 2026-03-13 15:57:28 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.38 loss:0.008 grdn:0.678 lr:3.3e-06 updt_s:1.244 data_s:0.019 Training: 80%|███████▉ | 55901/70000 [19:47:37<5:03:32, 1.29s/step] Training: 80%|███████▉ | 55902/70000 [19:47:38<4:57:47, 1.27s/step] Training: 80%|███████▉ | 55903/70000 [19:47:40<4:55:36, 1.26s/step] Training: 80%|███████▉ | 55904/70000 [19:47:41<4:50:46, 1.24s/step] Training: 80%|███████▉ | 55905/70000 [19:47:42<4:47:28, 1.22s/step] Training: 80%|███████▉ | 55906/70000 [19:47:43<4:55:15, 1.26s/step] Training: 80%|███████▉ | 55907/70000 [19:47:45<4:50:45, 1.24s/step] Training: 80%|███████▉ | 55908/70000 [19:47:46<5:01:19, 1.28s/step] Training: 80%|███████▉ | 55909/70000 [19:47:47<5:04:45, 1.30s/step] Training: 80%|███████▉ | 55910/70000 [19:47:49<5:12:32, 1.33s/step] Training: 80%|███████▉ | 55911/70000 [19:47:50<5:04:42, 1.30s/step] Training: 80%|███████▉ | 55912/70000 [19:47:51<4:57:15, 1.27s/step] Training: 80%|███████▉ | 55913/70000 [19:47:52<4:51:51, 1.24s/step] Training: 80%|███████▉ | 55914/70000 [19:47:53<4:51:02, 1.24s/step] Training: 80%|███████▉ | 55915/70000 [19:47:55<4:47:23, 1.22s/step] Training: 80%|███████▉ | 55916/70000 [19:47:56<4:55:08, 1.26s/step] Training: 80%|███████▉ | 55917/70000 [19:47:57<5:03:22, 1.29s/step] Training: 80%|███████▉ | 55918/70000 [19:47:59<5:06:44, 1.31s/step] Training: 80%|███████▉ | 55919/70000 [19:48:00<5:08:47, 1.32s/step] Training: 80%|███████▉ | 55920/70000 [19:48:01<5:00:29, 1.28s/step] Training: 80%|███████▉ | 55921/70000 [19:48:02<4:53:53, 1.25s/step] Training: 80%|███████▉ | 55922/70000 [19:48:04<4:58:41, 1.27s/step] Training: 80%|███████▉ | 55923/70000 [19:48:05<4:53:03, 1.25s/step] Training: 80%|███████▉ | 55924/70000 [19:48:06<5:02:11, 1.29s/step] Training: 80%|███████▉ | 55925/70000 [19:48:08<5:00:18, 1.28s/step] Training: 80%|███████▉ | 55926/70000 [19:48:09<5:03:29, 1.29s/step] Training: 80%|███████▉ | 55927/70000 [19:48:10<5:13:30, 1.34s/step] Training: 80%|███████▉ | 55928/70000 [19:48:12<5:03:26, 1.29s/step] Training: 80%|███████▉ | 55929/70000 [19:48:13<4:55:51, 1.26s/step] Training: 80%|███████▉ | 55930/70000 [19:48:14<5:00:10, 1.28s/step] Training: 80%|███████▉ | 55931/70000 [19:48:15<4:54:13, 1.25s/step] Training: 80%|███████▉ | 55932/70000 [19:48:17<4:59:38, 1.28s/step] Training: 80%|███████▉ | 55933/70000 [19:48:18<5:03:13, 1.29s/step] Training: 80%|███████▉ | 55934/70000 [19:48:19<4:57:41, 1.27s/step] Training: 80%|███████▉ | 55935/70000 [19:48:20<4:58:07, 1.27s/step] Training: 80%|███████▉ | 55936/70000 [19:48:22<4:51:56, 1.25s/step] Training: 80%|███████▉ | 55937/70000 [19:48:23<4:47:52, 1.23s/step] Training: 80%|███████▉ | 55938/70000 [19:48:24<4:54:59, 1.26s/step] Training: 80%|███████▉ | 55939/70000 [19:48:25<4:50:07, 1.24s/step] Training: 80%|███████▉ | 55940/70000 [19:48:27<4:58:57, 1.28s/step] Training: 80%|███████▉ | 55941/70000 [19:48:28<5:02:25, 1.29s/step] Training: 80%|███████▉ | 55942/70000 [19:48:29<5:13:01, 1.34s/step] Training: 80%|███████▉ | 55943/70000 [19:48:31<5:13:38, 1.34s/step] Training: 80%|███████▉ | 55944/70000 [19:48:32<5:02:14, 1.29s/step] Training: 80%|███████▉ | 55945/70000 [19:48:33<4:55:06, 1.26s/step] Training: 80%|███████▉ | 55946/70000 [19:48:34<4:51:55, 1.25s/step] Training: 80%|███████▉ | 55947/70000 [19:48:36<4:47:44, 1.23s/step] Training: 80%|███████▉ | 55948/70000 [19:48:37<4:54:50, 1.26s/step] Training: 80%|███████▉ | 55949/70000 [19:48:38<4:59:48, 1.28s/step] Training: 80%|███████▉ | 55950/70000 [19:48:40<5:10:43, 1.33s/step] Training: 80%|███████▉ | 55951/70000 [19:48:41<5:12:52, 1.34s/step] Training: 80%|███████▉ | 55952/70000 [19:48:42<5:11:29, 1.33s/step] Training: 80%|███████▉ | 55953/70000 [19:48:43<5:01:24, 1.29s/step] Training: 80%|███████▉ | 55954/70000 [19:48:45<5:03:47, 1.30s/step] Training: 80%|███████▉ | 55955/70000 [19:48:46<4:56:34, 1.27s/step] Training: 80%|███████▉ | 55956/70000 [19:48:47<5:03:36, 1.30s/step] Training: 80%|███████▉ | 55957/70000 [19:48:49<4:59:06, 1.28s/step] Training: 80%|███████▉ | 55958/70000 [19:48:50<5:02:38, 1.29s/step] Training: 80%|███████▉ | 55959/70000 [19:48:51<4:55:21, 1.26s/step] Training: 80%|███████▉ | 55960/70000 [19:48:52<5:01:32, 1.29s/step] Training: 80%|███████▉ | 55961/70000 [19:48:54<4:53:43, 1.26s/step] Training: 80%|███████▉ | 55962/70000 [19:48:55<4:58:39, 1.28s/step] Training: 80%|███████▉ | 55963/70000 [19:48:56<4:52:29, 1.25s/step] Training: 80%|███████▉ | 55964/70000 [19:48:57<4:57:53, 1.27s/step] Training: 80%|███████▉ | 55965/70000 [19:48:59<4:53:04, 1.25s/step] Training: 80%|███████▉ | 55966/70000 [19:49:00<4:56:21, 1.27s/step] Training: 80%|███████▉ | 55967/70000 [19:49:01<4:50:58, 1.24s/step] Training: 80%|███████▉ | 55968/70000 [19:49:03<4:57:50, 1.27s/step] Training: 80%|███████▉ | 55969/70000 [19:49:04<4:51:43, 1.25s/step] Training: 80%|███████▉ | 55970/70000 [19:49:05<4:56:55, 1.27s/step] Training: 80%|███████▉ | 55971/70000 [19:49:06<4:51:23, 1.25s/step] Training: 80%|███████▉ | 55972/70000 [19:49:07<4:51:36, 1.25s/step] Training: 80%|███████▉ | 55973/70000 [19:49:09<5:06:47, 1.31s/step] Training: 80%|███████▉ | 55974/70000 [19:49:10<5:07:55, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=55880 Training: 80%|███████▉ | 55975/70000 [19:49:11<4:58:59, 1.28s/step] Training: 80%|███████▉ | 55976/70000 [19:49:13<5:08:30, 1.32s/step] Training: 80%|███████▉ | 55977/70000 [19:49:14<4:59:20, 1.28s/step] Training: 80%|███████▉ | 55978/70000 [19:49:15<4:54:51, 1.26s/step] Training: 80%|███████▉ | 55979/70000 [19:49:16<4:49:49, 1.24s/step] Training: 80%|███████▉ | 55980/70000 [19:49:18<4:56:05, 1.27s/step] Training: 80%|███████▉ | 55981/70000 [19:49:19<5:00:09, 1.28s/step] Training: 80%|███████▉ | 55982/70000 [19:49:20<5:03:40, 1.30s/step] Training: 80%|███████▉ | 55983/70000 [19:49:22<4:55:50, 1.27s/step] Training: 80%|███████▉ | 55984/70000 [19:49:23<5:02:07, 1.29s/step] Training: 80%|███████▉ | 55985/70000 [19:49:24<4:54:07, 1.26s/step] Training: 80%|███████▉ | 55986/70000 [19:49:26<4:59:27, 1.28s/step] Training: 80%|███████▉ | 55987/70000 [19:49:27<4:53:04, 1.25s/step] Training: 80%|███████▉ | 55988/70000 [19:49:28<5:01:01, 1.29s/step] Training: 80%|███████▉ | 55989/70000 [19:49:29<4:56:45, 1.27s/step] Training: 80%|███████▉ | 55990/70000 [19:49:31<5:01:12, 1.29s/step] Training: 80%|███████▉ | 55991/70000 [19:49:32<4:54:02, 1.26s/step] Training: 80%|███████▉ | 55992/70000 [19:49:33<4:59:09, 1.28s/step] Training: 80%|███████▉ | 55993/70000 [19:49:34<4:52:52, 1.25s/step] Training: 80%|███████▉ | 55994/70000 [19:49:36<4:57:22, 1.27s/step] Training: 80%|███████▉ | 55995/70000 [19:49:37<4:51:19, 1.25s/step] Training: 80%|███████▉ | 55996/70000 [19:49:38<4:56:49, 1.27s/step] Training: 80%|███████▉ | 55997/70000 [19:49:39<4:53:01, 1.26s/step] Training: 80%|███████▉ | 55998/70000 [19:49:41<4:58:21, 1.28s/step] Training: 80%|███████▉ | 55999/70000 [19:49:42<4:52:13, 1.25s/step] Training: 80%|████████ | 56000/70000 [19:49:43<4:48:45, 1.24s/step]INFO 2026-03-13 15:59:35 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.47 loss:0.008 grdn:0.619 lr:3.3e-06 updt_s:1.252 data_s:0.019 Training: 80%|████████ | 56001/70000 [19:49:44<4:56:01, 1.27s/step] Training: 80%|████████ | 56002/70000 [19:49:46<4:59:27, 1.28s/step] Training: 80%|████████ | 56003/70000 [19:49:47<4:52:55, 1.26s/step] Training: 80%|████████ | 56004/70000 [19:49:48<4:51:32, 1.25s/step] Training: 80%|████████ | 56005/70000 [19:49:50<5:06:03, 1.31s/step] Training: 80%|████████ | 56006/70000 [19:49:51<5:07:19, 1.32s/step] Training: 80%|████████ | 56007/70000 [19:49:52<4:58:14, 1.28s/step] Training: 80%|████████ | 56008/70000 [19:49:54<5:01:57, 1.29s/step] Training: 80%|████████ | 56009/70000 [19:49:55<5:03:14, 1.30s/step] Training: 80%|████████ | 56010/70000 [19:49:56<4:57:12, 1.27s/step] Training: 80%|████████ | 56011/70000 [19:49:57<4:51:15, 1.25s/step] Training: 80%|████████ | 56012/70000 [19:49:59<4:57:37, 1.28s/step] Training: 80%|████████ | 56013/70000 [19:50:00<5:01:14, 1.29s/step] Training: 80%|████████ | 56014/70000 [19:50:01<5:03:28, 1.30s/step] Training: 80%|████████ | 56015/70000 [19:50:02<4:55:30, 1.27s/step] Training: 80%|████████ | 56016/70000 [19:50:04<4:59:34, 1.29s/step] Training: 80%|████████ | 56017/70000 [19:50:05<5:04:56, 1.31s/step] Training: 80%|████████ | 56018/70000 [19:50:06<5:05:04, 1.31s/step] Training: 80%|████████ | 56019/70000 [19:50:08<4:56:35, 1.27s/step] Training: 80%|████████ | 56020/70000 [19:50:09<4:53:48, 1.26s/step] Training: 80%|████████ | 56021/70000 [19:50:10<4:57:39, 1.28s/step] Training: 80%|████████ | 56022/70000 [19:50:12<5:01:56, 1.30s/step] Training: 80%|████████ | 56023/70000 [19:50:13<4:55:56, 1.27s/step] Training: 80%|████████ | 56024/70000 [19:50:14<5:00:32, 1.29s/step] Training: 80%|████████ | 56025/70000 [19:50:15<4:53:42, 1.26s/step] Training: 80%|████████ | 56026/70000 [19:50:17<5:03:48, 1.30s/step] Training: 80%|████████ | 56027/70000 [19:50:18<4:55:33, 1.27s/step] Training: 80%|████████ | 56028/70000 [19:50:19<4:59:31, 1.29s/step] Training: 80%|████████ | 56029/70000 [19:50:20<4:53:42, 1.26s/step] Training: 80%|████████ | 56030/70000 [19:50:22<4:58:29, 1.28s/step] Training: 80%|████████ | 56031/70000 [19:50:23<4:51:56, 1.25s/step] Training: 80%|████████ | 56032/70000 [19:50:24<4:49:19, 1.24s/step] Training: 80%|████████ | 56033/70000 [19:50:25<4:45:47, 1.23s/step] Training: 80%|████████ | 56034/70000 [19:50:27<4:59:16, 1.29s/step] Training: 80%|████████ | 56035/70000 [19:50:28<4:52:19, 1.26s/step] Training: 80%|████████ | 56036/70000 [19:50:29<4:48:54, 1.24s/step] Training: 80%|████████ | 56037/70000 [19:50:31<5:04:56, 1.31s/step] Training: 80%|████████ | 56038/70000 [19:50:32<5:06:11, 1.32s/step] Training: 80%|████████ | 56039/70000 [19:50:33<4:57:23, 1.28s/step] Training: 80%|████████ | 56040/70000 [19:50:34<5:00:38, 1.29s/step] Training: 80%|████████ | 56041/70000 [19:50:36<4:53:29, 1.26s/step] Training: 80%|████████ | 56042/70000 [19:50:37<4:49:19, 1.24s/step] Training: 80%|████████ | 56043/70000 [19:50:38<4:45:39, 1.23s/step] Training: 80%|████████ | 56044/70000 [19:50:39<4:45:44, 1.23s/step] Training: 80%|████████ | 56045/70000 [19:50:41<4:53:31, 1.26s/step] Training: 80%|████████ | 56046/70000 [19:50:42<4:57:46, 1.28s/step] Training: 80%|████████ | 56047/70000 [19:50:43<4:52:31, 1.26s/step] Training: 80%|████████ | 56048/70000 [19:50:44<4:57:32, 1.28s/step] Training: 80%|████████ | 56049/70000 [19:50:46<4:51:35, 1.25s/step] Training: 80%|████████ | 56050/70000 [19:50:47<4:58:34, 1.28s/step] Training: 80%|████████ | 56051/70000 [19:50:48<4:51:56, 1.26s/step] Training: 80%|████████ | 56052/70000 [19:50:49<4:50:39, 1.25s/step] Training: 80%|████████ | 56053/70000 [19:50:51<4:55:07, 1.27s/step] Training: 80%|████████ | 56054/70000 [19:50:52<4:59:53, 1.29s/step] Training: 80%|████████ | 56055/70000 [19:50:53<4:52:41, 1.26s/step] Training: 80%|████████ | 56056/70000 [19:50:55<4:56:52, 1.28s/step] Training: 80%|████████ | 56057/70000 [19:50:56<4:51:18, 1.25s/step] Training: 80%|████████ | 56058/70000 [19:50:57<4:56:20, 1.28s/step] Training: 80%|████████ | 56059/70000 [19:50:58<4:50:43, 1.25s/step] Training: 80%|████████ | 56060/70000 [19:51:00<4:56:14, 1.28s/step] Training: 80%|████████ | 56061/70000 [19:51:01<4:52:33, 1.26s/step] Training: 80%|████████ | 56062/70000 [19:51:02<4:58:11, 1.28s/step] Training: 80%|████████ | 56063/70000 [19:51:03<4:51:46, 1.26s/step] Training: 80%|████████ | 56064/70000 [19:51:05<4:48:59, 1.24s/step] Training: 80%|████████ | 56065/70000 [19:51:06<4:45:32, 1.23s/step] Training: 80%|████████ | 56066/70000 [19:51:07<4:52:02, 1.26s/step] Training: 80%|████████ | 56067/70000 [19:51:08<4:57:51, 1.28s/step] Training: 80%|████████ | 56068/70000 [19:51:10<5:02:24, 1.30s/step] Training: 80%|████████ | 56069/70000 [19:51:11<5:04:23, 1.31s/step] Training: 80%|████████ | 56070/70000 [19:51:12<5:06:10, 1.32s/step] Training: 80%|████████ | 56071/70000 [19:51:14<4:57:21, 1.28s/step] Training: 80%|████████ | 56072/70000 [19:51:15<5:00:29, 1.29s/step] Training: 80%|████████ | 56073/70000 [19:51:16<4:53:17, 1.26s/step] Training: 80%|████████ | 56074/70000 [19:51:17<4:49:58, 1.25s/step] Training: 80%|████████ | 56075/70000 [19:51:19<4:51:47, 1.26s/step] Training: 80%|████████ | 56076/70000 [19:51:20<4:49:07, 1.25s/step] Training: 80%|████████ | 56077/70000 [19:51:21<5:02:16, 1.30s/step] Training: 80%|████████ | 56078/70000 [19:51:23<5:05:00, 1.31s/step] Training: 80%|████████ | 56079/70000 [19:51:24<4:56:06, 1.28s/step] Training: 80%|████████ | 56080/70000 [19:51:25<4:59:41, 1.29s/step] Training: 80%|████████ | 56081/70000 [19:51:26<4:52:36, 1.26s/step] Training: 80%|████████ | 56082/70000 [19:51:28<4:57:33, 1.28s/step] Training: 80%|████████ | 56083/70000 [19:51:29<4:54:46, 1.27s/step] Training: 80%|████████ | 56084/70000 [19:51:30<4:48:36, 1.24s/step] Training: 80%|████████ | 56085/70000 [19:51:31<4:54:57, 1.27s/step] Training: 80%|████████ | 56086/70000 [19:51:33<4:58:53, 1.29s/step] Training: 80%|████████ | 56087/70000 [19:51:34<4:52:03, 1.26s/step] Training: 80%|████████ | 56088/70000 [19:51:35<4:56:28, 1.28s/step] Training: 80%|████████ | 56089/70000 [19:51:37<4:50:33, 1.25s/step] Training: 80%|████████ | 56090/70000 [19:51:38<4:55:34, 1.27s/step] Training: 80%|████████ | 56091/70000 [19:51:39<4:49:33, 1.25s/step] Training: 80%|████████ | 56092/70000 [19:51:40<5:01:24, 1.30s/step] Training: 80%|████████ | 56093/70000 [19:51:42<4:55:22, 1.27s/step] Training: 80%|████████ | 56094/70000 [19:51:43<4:59:26, 1.29s/step] Training: 80%|████████ | 56095/70000 [19:51:44<4:52:11, 1.26s/step] Training: 80%|████████ | 56096/70000 [19:51:45<4:47:55, 1.24s/step] Training: 80%|████████ | 56097/70000 [19:51:47<4:44:15, 1.23s/step] Training: 80%|████████ | 56098/70000 [19:51:48<4:51:39, 1.26s/step] Training: 80%|████████ | 56099/70000 [19:51:49<4:46:42, 1.24s/step] Training: 80%|████████ | 56100/70000 [19:51:50<4:50:29, 1.25s/step]INFO 2026-03-13 16:01:43 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.55 loss:0.008 grdn:0.620 lr:3.3e-06 updt_s:1.252 data_s:0.019 Training: 80%|████████ | 56101/70000 [19:51:52<4:55:05, 1.27s/step] Training: 80%|████████ | 56102/70000 [19:51:53<5:01:13, 1.30s/step] Training: 80%|████████ | 56103/70000 [19:51:54<4:53:36, 1.27s/step] Training: 80%|████████ | 56104/70000 [19:51:56<4:57:50, 1.29s/step] Training: 80%|████████ | 56105/70000 [19:51:57<4:51:16, 1.26s/step] Training: 80%|████████ | 56106/70000 [19:51:58<4:48:00, 1.24s/step] Training: 80%|████████ | 56107/70000 [19:51:59<4:44:27, 1.23s/step] Training: 80%|████████ | 56108/70000 [19:52:01<4:53:32, 1.27s/step] Training: 80%|████████ | 56109/70000 [19:52:02<4:57:03, 1.28s/step] Training: 80%|████████ | 56110/70000 [19:52:03<5:00:02, 1.30s/step] Training: 80%|████████ | 56111/70000 [19:52:04<4:52:39, 1.26s/step] Training: 80%|████████ | 56112/70000 [19:52:06<4:56:18, 1.28s/step] Training: 80%|████████ | 56113/70000 [19:52:07<4:50:07, 1.25s/step] Training: 80%|████████ | 56114/70000 [19:52:08<4:54:53, 1.27s/step] Training: 80%|████████ | 56115/70000 [19:52:09<4:49:14, 1.25s/step] Training: 80%|████████ | 56116/70000 [19:52:11<4:56:21, 1.28s/step] Training: 80%|████████ | 56117/70000 [19:52:12<4:52:41, 1.26s/step] Training: 80%|████████ | 56118/70000 [19:52:13<4:59:25, 1.29s/step] Training: 80%|████████ | 56119/70000 [19:52:15<4:52:07, 1.26s/step] Training: 80%|████████ | 56120/70000 [19:52:16<4:56:15, 1.28s/step] Training: 80%|████████ | 56121/70000 [19:52:17<4:50:05, 1.25s/step] Training: 80%|████████ | 56122/70000 [19:52:18<4:54:43, 1.27s/step] Training: 80%|████████ | 56123/70000 [19:52:20<4:48:40, 1.25s/step] Training: 80%|████████ | 56124/70000 [19:52:21<4:44:28, 1.23s/step] Training: 80%|████████ | 56125/70000 [19:52:22<4:57:38, 1.29s/step] Training: 80%|████████ | 56126/70000 [19:52:24<5:02:11, 1.31s/step] Training: 80%|████████ | 56127/70000 [19:52:25<4:54:00, 1.27s/step] Training: 80%|████████ | 56128/70000 [19:52:26<4:50:01, 1.25s/step] Training: 80%|████████ | 56129/70000 [19:52:27<4:45:40, 1.24s/step] Training: 80%|████████ | 56130/70000 [19:52:28<4:51:47, 1.26s/step] Training: 80%|████████ | 56131/70000 [19:52:30<4:46:56, 1.24s/step] Training: 80%|████████ | 56132/70000 [19:52:31<4:46:23, 1.24s/step] Training: 80%|████████ | 56133/70000 [19:52:32<5:00:57, 1.30s/step] Training: 80%|████████ | 56134/70000 [19:52:34<5:06:22, 1.33s/step] Training: 80%|████████ | 56135/70000 [19:52:35<4:57:09, 1.29s/step] Training: 80%|████████ | 56136/70000 [19:52:36<5:01:49, 1.31s/step] Training: 80%|████████ | 56137/70000 [19:52:37<4:54:19, 1.27s/step] Training: 80%|████████ | 56138/70000 [19:52:39<4:49:22, 1.25s/step] Training: 80%|████████ | 56139/70000 [19:52:40<4:45:06, 1.23s/step] Training: 80%|████████ | 56140/70000 [19:52:41<4:43:22, 1.23s/step] Training: 80%|████████ | 56141/70000 [19:52:42<4:57:53, 1.29s/step] Training: 80%|████████ | 56142/70000 [19:52:44<4:53:56, 1.27s/step] Training: 80%|████████ | 56143/70000 [19:52:45<4:57:17, 1.29s/step] Training: 80%|████████ | 56144/70000 [19:52:46<5:00:30, 1.30s/step] Training: 80%|████████ | 56145/70000 [19:52:48<4:53:02, 1.27s/step] Training: 80%|████████ | 56146/70000 [19:52:49<4:58:50, 1.29s/step] Training: 80%|████████ | 56147/70000 [19:52:50<4:51:42, 1.26s/step] Training: 80%|████████ | 56148/70000 [19:52:51<4:57:38, 1.29s/step] Training: 80%|████████ | 56149/70000 [19:52:53<5:06:36, 1.33s/step] Training: 80%|████████ | 56150/70000 [19:52:54<5:07:03, 1.33s/step] Training: 80%|████████ | 56151/70000 [19:52:55<4:57:19, 1.29s/step] Training: 80%|████████ | 56152/70000 [19:52:57<4:50:30, 1.26s/step] Training: 80%|████████ | 56153/70000 [19:52:58<4:55:23, 1.28s/step] Training: 80%|████████ | 56154/70000 [19:52:59<4:58:57, 1.30s/step] Training: 80%|████████ | 56155/70000 [19:53:00<4:51:32, 1.26s/step] Training: 80%|████████ | 56156/70000 [19:53:02<4:56:05, 1.28s/step] Training: 80%|████████ | 56157/70000 [19:53:03<4:59:14, 1.30s/step] Training: 80%|████████ | 56158/70000 [19:53:04<5:02:31, 1.31s/step] Training: 80%|████████ | 56159/70000 [19:53:06<4:54:19, 1.28s/step] Training: 80%|████████ | 56160/70000 [19:53:07<4:48:20, 1.25s/step] Training: 80%|████████ | 56161/70000 [19:53:08<4:53:12, 1.27s/step] Training: 80%|████████ | 56162/70000 [19:53:09<4:56:50, 1.29s/step] Training: 80%|████████ | 56163/70000 [19:53:11<4:50:10, 1.26s/step] Training: 80%|████████ | 56164/70000 [19:53:12<4:48:23, 1.25s/step] Training: 80%|████████ | 56165/70000 [19:53:13<4:53:53, 1.27s/step] Training: 80%|████████ | 56166/70000 [19:53:15<4:58:47, 1.30s/step] Training: 80%|████████ | 56167/70000 [19:53:16<4:58:02, 1.29s/step] Training: 80%|████████ | 56168/70000 [19:53:17<5:01:10, 1.31s/step] Training: 80%|████████ | 56169/70000 [19:53:18<4:53:21, 1.27s/step] Training: 80%|████████ | 56170/70000 [19:53:20<4:49:02, 1.25s/step] Training: 80%|████████ | 56171/70000 [19:53:21<4:44:48, 1.24s/step] Training: 80%|████████ | 56172/70000 [19:53:22<4:43:20, 1.23s/step] Training: 80%|████████ | 56173/70000 [19:53:23<4:52:47, 1.27s/step] Training: 80%|████████ | 56174/70000 [19:53:25<5:04:32, 1.32s/step] Training: 80%|████████ | 56175/70000 [19:53:26<4:55:14, 1.28s/step] Training: 80%|████████ | 56176/70000 [19:53:27<4:56:08, 1.29s/step] Training: 80%|████████ | 56177/70000 [19:53:28<4:49:28, 1.26s/step] Training: 80%|████████ | 56178/70000 [19:53:30<4:55:02, 1.28s/step] Training: 80%|████████ | 56179/70000 [19:53:31<4:48:46, 1.25s/step] Training: 80%|████████ | 56180/70000 [19:53:32<4:54:09, 1.28s/step] Training: 80%|████████ | 56181/70000 [19:53:34<4:52:29, 1.27s/step] Training: 80%|████████ | 56182/70000 [19:53:35<4:58:35, 1.30s/step] Training: 80%|████████ | 56183/70000 [19:53:36<4:50:48, 1.26s/step] Training: 80%|████████ | 56184/70000 [19:53:37<4:55:32, 1.28s/step] Training: 80%|████████ | 56185/70000 [19:53:39<4:49:13, 1.26s/step] Training: 80%|████████ | 56186/70000 [19:53:40<4:54:00, 1.28s/step] Training: 80%|████████ | 56187/70000 [19:53:41<4:47:55, 1.25s/step] Training: 80%|████████ | 56188/70000 [19:53:43<4:53:11, 1.27s/step] Training: 80%|████████ | 56189/70000 [19:53:44<4:57:07, 1.29s/step] Training: 80%|████████ | 56190/70000 [19:53:45<5:00:56, 1.31s/step] Training: 80%|████████ | 56191/70000 [19:53:46<4:51:57, 1.27s/step] Training: 80%|████████ | 56192/70000 [19:53:48<4:48:31, 1.25s/step] Training: 80%|████████ | 56193/70000 [19:53:49<4:44:34, 1.24s/step] Training: 80%|████████ | 56194/70000 [19:53:50<4:50:26, 1.26s/step] Training: 80%|████████ | 56195/70000 [19:53:51<4:45:30, 1.24s/step] Training: 80%|████████ | 56196/70000 [19:53:53<4:45:35, 1.24s/step] Training: 80%|████████ | 56197/70000 [19:53:54<4:51:48, 1.27s/step] Training: 80%|████████ | 56198/70000 [19:53:55<4:49:30, 1.26s/step] Training: 80%|████████ | 56199/70000 [19:53:56<4:54:46, 1.28s/step] Training: 80%|████████ | 56200/70000 [19:53:58<4:58:19, 1.30s/step]INFO 2026-03-13 16:03:50 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.64 loss:0.008 grdn:0.688 lr:3.2e-06 updt_s:1.253 data_s:0.019 Training: 80%|████████ | 56201/70000 [19:53:59<4:51:15, 1.27s/step] Training: 80%|████████ | 56202/70000 [19:54:00<4:47:31, 1.25s/step] Training: 80%|████████ | 56203/70000 [19:54:01<4:43:23, 1.23s/step] Training: 80%|████████ | 56204/70000 [19:54:03<4:41:31, 1.22s/step] Training: 80%|████████ | 56205/70000 [19:54:04<4:50:57, 1.27s/step] Training: 80%|████████ | 56206/70000 [19:54:05<4:55:29, 1.29s/step] Training: 80%|████████ | 56207/70000 [19:54:07<4:59:49, 1.30s/step] Training: 80%|████████ | 56208/70000 [19:54:08<5:01:21, 1.31s/step] Training: 80%|████████ | 56209/70000 [19:54:09<4:53:21, 1.28s/step] Training: 80%|████████ | 56210/70000 [19:54:10<4:57:07, 1.29s/step] Training: 80%|████████ | 56211/70000 [19:54:12<4:49:51, 1.26s/step] Training: 80%|████████ | 56212/70000 [19:54:13<4:54:45, 1.28s/step] Training: 80%|████████ | 56213/70000 [19:54:14<4:53:29, 1.28s/step] Training: 80%|████████ | 56214/70000 [19:54:16<4:59:11, 1.30s/step] Training: 80%|████████ | 56215/70000 [19:54:17<5:01:30, 1.31s/step] Training: 80%|████████ | 56216/70000 [19:54:18<5:01:41, 1.31s/step] Training: 80%|████████ | 56217/70000 [19:54:19<4:53:07, 1.28s/step] Training: 80%|████████ | 56218/70000 [19:54:21<4:56:51, 1.29s/step] Training: 80%|████████ | 56219/70000 [19:54:22<4:49:49, 1.26s/step] Training: 80%|████████ | 56220/70000 [19:54:23<4:54:12, 1.28s/step] Training: 80%|████████ | 56221/70000 [19:54:25<4:56:55, 1.29s/step] Training: 80%|████████ | 56222/70000 [19:54:26<4:59:18, 1.30s/step] Training: 80%|████████ | 56223/70000 [19:54:27<5:03:54, 1.32s/step] Training: 80%|████████ | 56224/70000 [19:54:29<4:54:58, 1.28s/step] Training: 80%|████████ | 56225/70000 [19:54:30<4:48:41, 1.26s/step] Training: 80%|████████ | 56226/70000 [19:54:31<4:43:56, 1.24s/step] Training: 80%|████████ | 56227/70000 [19:54:32<4:49:08, 1.26s/step] Training: 80%|████████ | 56228/70000 [19:54:34<4:53:22, 1.28s/step] Training: 80%|████████ | 56229/70000 [19:54:35<4:57:09, 1.29s/step] Training: 80%|████████ | 56230/70000 [19:54:36<4:52:12, 1.27s/step] Training: 80%|████████ | 56231/70000 [19:54:37<4:55:35, 1.29s/step] Training: 80%|████████ | 56232/70000 [19:54:39<4:57:48, 1.30s/step] Training: 80%|████████ | 56233/70000 [19:54:40<4:50:35, 1.27s/step] Training: 80%|████████ | 56234/70000 [19:54:41<4:45:10, 1.24s/step] Training: 80%|████████ | 56235/70000 [19:54:42<4:50:25, 1.27s/step] Training: 80%|████████ | 56236/70000 [19:54:44<4:46:08, 1.25s/step] Training: 80%|████████ | 56237/70000 [19:54:45<4:55:02, 1.29s/step] Training: 80%|████████ | 56238/70000 [19:54:46<4:57:18, 1.30s/step] Training: 80%|████████ | 56239/70000 [19:54:48<4:50:16, 1.27s/step] Training: 80%|████████ | 56240/70000 [19:54:49<5:01:10, 1.31s/step] Training: 80%|████████ | 56241/70000 [19:54:50<4:52:51, 1.28s/step] Training: 80%|████████ | 56242/70000 [19:54:51<4:55:54, 1.29s/step] Training: 80%|████████ | 56243/70000 [19:54:53<4:48:48, 1.26s/step] Training: 80%|████████ | 56244/70000 [19:54:54<4:53:30, 1.28s/step] Training: 80%|████████ | 56245/70000 [19:54:55<4:51:54, 1.27s/step] Training: 80%|████████ | 56246/70000 [19:54:57<4:56:06, 1.29s/step] Training: 80%|████████ | 56247/70000 [19:54:58<4:48:56, 1.26s/step] Training: 80%|████████ | 56248/70000 [19:54:59<5:00:29, 1.31s/step] Training: 80%|████████ | 56249/70000 [19:55:00<4:52:05, 1.27s/step] Training: 80%|████████ | 56250/70000 [19:55:02<4:55:16, 1.29s/step] Training: 80%|████████ | 56251/70000 [19:55:03<4:48:26, 1.26s/step] Training: 80%|████████ | 56252/70000 [19:55:04<4:53:05, 1.28s/step] Training: 80%|████████ | 56253/70000 [19:55:06<4:57:09, 1.30s/step] Training: 80%|████████ | 56254/70000 [19:55:07<4:58:44, 1.30s/step] Training: 80%|████████ | 56255/70000 [19:55:08<4:50:55, 1.27s/step] Training: 80%|████████ | 56256/70000 [19:55:09<4:56:56, 1.30s/step] Training: 80%|████████ | 56257/70000 [19:55:11<4:48:58, 1.26s/step] Training: 80%|████████ | 56258/70000 [19:55:12<4:46:15, 1.25s/step] Training: 80%|████████ | 56259/70000 [19:55:13<4:42:00, 1.23s/step] Training: 80%|████████ | 56260/70000 [19:55:14<4:48:50, 1.26s/step] Training: 80%|████████ | 56261/70000 [19:55:16<4:53:42, 1.28s/step] Training: 80%|████████ | 56262/70000 [19:55:17<4:49:22, 1.26s/step] Training: 80%|████████ | 56263/70000 [19:55:18<4:52:50, 1.28s/step] Training: 80%|████████ | 56264/70000 [19:55:20<4:56:31, 1.30s/step] Training: 80%|████████ | 56265/70000 [19:55:21<4:59:58, 1.31s/step] Training: 80%|████████ | 56266/70000 [19:55:22<4:52:36, 1.28s/step] Training: 80%|████████ | 56267/70000 [19:55:23<4:46:20, 1.25s/step] Training: 80%|████████ | 56268/70000 [19:55:24<4:43:12, 1.24s/step] Training: 80%|████████ | 56269/70000 [19:55:26<4:43:01, 1.24s/step] Training: 80%|████████ | 56270/70000 [19:55:27<4:57:06, 1.30s/step] Training: 80%|████████ | 56271/70000 [19:55:28<4:49:48, 1.27s/step] Training: 80%|████████ | 56272/70000 [19:55:30<4:54:01, 1.29s/step] Training: 80%|████████ | 56273/70000 [19:55:31<4:57:27, 1.30s/step] Training: 80%|████████ | 56274/70000 [19:55:32<4:58:36, 1.31s/step] Training: 80%|████████ | 56275/70000 [19:55:34<4:50:24, 1.27s/step] Training: 80%|████████ | 56276/70000 [19:55:35<4:53:59, 1.29s/step] Training: 80%|████████ | 56277/70000 [19:55:36<4:49:14, 1.26s/step] Training: 80%|████████ | 56278/70000 [19:55:37<5:00:37, 1.31s/step] Training: 80%|████████ | 56279/70000 [19:55:39<4:52:49, 1.28s/step] Training: 80%|████████ | 56280/70000 [19:55:40<4:55:57, 1.29s/step] Training: 80%|████████ | 56281/70000 [19:55:41<4:50:56, 1.27s/step] Training: 80%|████████ | 56282/70000 [19:55:43<4:54:11, 1.29s/step] Training: 80%|████████ | 56283/70000 [19:55:44<4:47:31, 1.26s/step] Training: 80%|████████ | 56284/70000 [19:55:45<4:52:28, 1.28s/step] Training: 80%|████████ | 56285/70000 [19:55:46<4:56:42, 1.30s/step] Training: 80%|████████ | 56286/70000 [19:55:48<4:58:01, 1.30s/step] Training: 80%|████████ | 56287/70000 [19:55:49<4:50:02, 1.27s/step] Training: 80%|████████ | 56288/70000 [19:55:50<4:46:08, 1.25s/step] Training: 80%|████████ | 56289/70000 [19:55:51<4:52:19, 1.28s/step] Training: 80%|████████ | 56290/70000 [19:55:53<4:48:02, 1.26s/step] Training: 80%|████████ | 56291/70000 [19:55:54<4:42:58, 1.24s/step] Training: 80%|████████ | 56292/70000 [19:55:55<4:48:28, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=1724 Training: 80%|████████ | 56293/70000 [19:55:57<4:52:47, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=11265 Training: 80%|████████ | 56294/70000 [19:55:58<4:48:54, 1.26s/step] Training: 80%|████████ | 56295/70000 [19:55:59<4:52:45, 1.28s/step] Training: 80%|████████ | 56296/70000 [19:56:00<4:56:42, 1.30s/step] Training: 80%|████████ | 56297/70000 [19:56:02<5:00:55, 1.32s/step] Training: 80%|████████ | 56298/70000 [19:56:03<4:52:33, 1.28s/step] Training: 80%|████████ | 56299/70000 [19:56:04<4:46:19, 1.25s/step] Training: 80%|████████ | 56300/70000 [19:56:05<4:43:29, 1.24s/step]INFO 2026-03-13 16:05:58 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.72 loss:0.008 grdn:0.713 lr:3.2e-06 updt_s:1.255 data_s:0.019 Training: 80%|████████ | 56301/70000 [19:56:07<4:42:39, 1.24s/step] Training: 80%|████████ | 56302/70000 [19:56:08<4:49:26, 1.27s/step] Training: 80%|████████ | 56303/70000 [19:56:09<4:52:50, 1.28s/step] Training: 80%|████████ | 56304/70000 [19:56:11<4:56:19, 1.30s/step] Training: 80%|████████ | 56305/70000 [19:56:12<4:54:20, 1.29s/step] Training: 80%|████████ | 56306/70000 [19:56:13<4:46:51, 1.26s/step] Training: 80%|████████ | 56307/70000 [19:56:14<4:50:21, 1.27s/step] Training: 80%|████████ | 56308/70000 [19:56:16<4:53:59, 1.29s/step] Training: 80%|████████ | 56309/70000 [19:56:17<4:48:40, 1.27s/step] Training: 80%|████████ | 56310/70000 [19:56:18<4:54:16, 1.29s/step] Training: 80%|████████ | 56311/70000 [19:56:20<4:55:48, 1.30s/step] Training: 80%|████████ | 56312/70000 [19:56:21<4:57:35, 1.30s/step] Training: 80%|████████ | 56313/70000 [19:56:22<4:49:53, 1.27s/step] Training: 80%|████████ | 56314/70000 [19:56:23<4:55:44, 1.30s/step] Training: 80%|████████ | 56315/70000 [19:56:25<4:47:40, 1.26s/step] Training: 80%|████████ | 56316/70000 [19:56:26<4:52:29, 1.28s/step] Training: 80%|████████ | 56317/70000 [19:56:27<4:56:19, 1.30s/step] Training: 80%|████████ | 56318/70000 [19:56:29<4:58:41, 1.31s/step] Training: 80%|████████ | 56319/70000 [19:56:30<4:50:49, 1.28s/step] Training: 80%|████████ | 56320/70000 [19:56:31<4:46:53, 1.26s/step] Training: 80%|████████ | 56321/70000 [19:56:32<4:42:29, 1.24s/step] Training: 80%|████████ | 56322/70000 [19:56:34<4:47:42, 1.26s/step] Training: 80%|████████ | 56323/70000 [19:56:35<4:42:06, 1.24s/step] Training: 80%|████████ | 56324/70000 [19:56:36<4:48:04, 1.26s/step] Training: 80%|████████ | 56325/70000 [19:56:37<4:52:49, 1.28s/step] Training: 80%|████████ | 56326/70000 [19:56:39<4:58:23, 1.31s/step] Training: 80%|████████ | 56327/70000 [19:56:40<4:50:48, 1.28s/step] Training: 80%|████████ | 56328/70000 [19:56:41<4:54:39, 1.29s/step] Training: 80%|████████ | 56329/70000 [19:56:42<4:47:39, 1.26s/step] Training: 80%|████████ | 56330/70000 [19:56:44<4:55:44, 1.30s/step] Training: 80%|████████ | 56331/70000 [19:56:45<4:47:34, 1.26s/step] Training: 80%|████████ | 56332/70000 [19:56:46<4:43:51, 1.25s/step] Training: 80%|████████ | 56333/70000 [19:56:47<4:43:41, 1.25s/step] Training: 80%|████████ | 56334/70000 [19:56:49<4:52:46, 1.29s/step] Training: 80%|████████ | 56335/70000 [19:56:50<4:46:10, 1.26s/step] Training: 80%|████████ | 56336/70000 [19:56:51<4:50:52, 1.28s/step] Training: 80%|████████ | 56337/70000 [19:56:53<4:45:03, 1.25s/step] Training: 80%|████████ | 56338/70000 [19:56:54<4:50:07, 1.27s/step] Training: 80%|████████ | 56339/70000 [19:56:55<4:54:35, 1.29s/step] Training: 80%|████████ | 56340/70000 [19:56:57<4:55:59, 1.30s/step] Training: 80%|████████ | 56341/70000 [19:56:58<4:50:34, 1.28s/step] Training: 80%|████████ | 56342/70000 [19:56:59<4:54:55, 1.30s/step] Training: 80%|████████ | 56343/70000 [19:57:00<4:47:35, 1.26s/step] Training: 80%|████████ | 56344/70000 [19:57:02<4:51:30, 1.28s/step] Training: 80%|████████ | 56345/70000 [19:57:03<4:45:36, 1.25s/step] Training: 80%|████████ | 56346/70000 [19:57:04<4:50:01, 1.27s/step] Training: 80%|████████ | 56347/70000 [19:57:05<4:55:18, 1.30s/step] Training: 80%|████████ | 56348/70000 [19:57:07<4:57:06, 1.31s/step] Training: 80%|████████ | 56349/70000 [19:57:08<4:59:03, 1.31s/step] Training: 80%|████████ | 56350/70000 [19:57:09<5:00:04, 1.32s/step] Training: 81%|████████ | 56351/70000 [19:57:11<4:51:41, 1.28s/step] Training: 81%|████████ | 56352/70000 [19:57:12<4:46:13, 1.26s/step] Training: 81%|████████ | 56353/70000 [19:57:13<4:41:31, 1.24s/step] Training: 81%|████████ | 56354/70000 [19:57:14<4:40:45, 1.23s/step] Training: 81%|████████ | 56355/70000 [19:57:15<4:38:01, 1.22s/step] Training: 81%|████████ | 56356/70000 [19:57:17<4:43:51, 1.25s/step] Training: 81%|████████ | 56357/70000 [19:57:18<4:49:07, 1.27s/step] Training: 81%|████████ | 56358/70000 [19:57:19<4:57:09, 1.31s/step] Training: 81%|████████ | 56359/70000 [19:57:21<4:49:03, 1.27s/step] Training: 81%|████████ | 56360/70000 [19:57:22<4:52:23, 1.29s/step] Training: 81%|████████ | 56361/70000 [19:57:23<4:45:35, 1.26s/step] Training: 81%|████████ | 56362/70000 [19:57:24<4:41:52, 1.24s/step] Training: 81%|████████ | 56363/70000 [19:57:26<4:40:37, 1.23s/step] Training: 81%|████████ | 56364/70000 [19:57:27<4:39:26, 1.23s/step] Training: 81%|████████ | 56365/70000 [19:57:28<4:40:04, 1.23s/step] Training: 81%|████████ | 56366/70000 [19:57:29<4:48:09, 1.27s/step] Training: 81%|████████ | 56367/70000 [19:57:31<4:42:45, 1.24s/step] Training: 81%|████████ | 56368/70000 [19:57:32<4:48:34, 1.27s/step] Training: 81%|████████ | 56369/70000 [19:57:33<4:43:26, 1.25s/step] Training: 81%|████████ | 56370/70000 [19:57:34<4:49:25, 1.27s/step] Training: 81%|████████ | 56371/70000 [19:57:36<4:48:49, 1.27s/step] Training: 81%|████████ | 56372/70000 [19:57:37<4:52:22, 1.29s/step] Training: 81%|████████ | 56373/70000 [19:57:38<4:47:02, 1.26s/step] Training: 81%|████████ | 56374/70000 [19:57:40<4:52:08, 1.29s/step] Training: 81%|████████ | 56375/70000 [19:57:41<4:45:24, 1.26s/step] Training: 81%|████████ | 56376/70000 [19:57:42<4:50:29, 1.28s/step] Training: 81%|████████ | 56377/70000 [19:57:43<4:44:35, 1.25s/step] Training: 81%|████████ | 56378/70000 [19:57:45<4:50:06, 1.28s/step] Training: 81%|████████ | 56379/70000 [19:57:46<4:43:50, 1.25s/step] Training: 81%|████████ | 56380/70000 [19:57:47<4:57:05, 1.31s/step] Training: 81%|████████ | 56381/70000 [19:57:49<4:58:23, 1.31s/step] Training: 81%|████████ | 56382/70000 [19:57:50<5:00:38, 1.32s/step] Training: 81%|████████ | 56383/70000 [19:57:51<4:51:16, 1.28s/step] Training: 81%|████████ | 56384/70000 [19:57:52<4:46:04, 1.26s/step] Training: 81%|████████ | 56385/70000 [19:57:54<4:41:12, 1.24s/step] Training: 81%|████████ | 56386/70000 [19:57:55<4:40:16, 1.24s/step] Training: 81%|████████ | 56387/70000 [19:57:56<4:37:13, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=45681 Training: 81%|████████ | 56388/70000 [19:57:57<4:49:30, 1.28s/step] Training: 81%|████████ | 56389/70000 [19:57:59<4:52:44, 1.29s/step] Training: 81%|████████ | 56390/70000 [19:58:00<4:58:08, 1.31s/step] Training: 81%|████████ | 56391/70000 [19:58:01<4:58:45, 1.32s/step] Training: 81%|████████ | 56392/70000 [19:58:03<4:59:27, 1.32s/step] Training: 81%|████████ | 56393/70000 [19:58:04<4:50:49, 1.28s/step] Training: 81%|████████ | 56394/70000 [19:58:05<4:46:21, 1.26s/step] Training: 81%|████████ | 56395/70000 [19:58:06<4:41:06, 1.24s/step] Training: 81%|████████ | 56396/70000 [19:58:08<4:38:58, 1.23s/step] Training: 81%|████████ | 56397/70000 [19:58:09<4:46:01, 1.26s/step] Training: 81%|████████ | 56398/70000 [19:58:10<4:43:57, 1.25s/step] Training: 81%|████████ | 56399/70000 [19:58:11<4:49:18, 1.28s/step] Training: 81%|████████ | 56400/70000 [19:58:13<4:52:18, 1.29s/step]INFO 2026-03-13 16:08:05 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.80 loss:0.007 grdn:0.633 lr:3.2e-06 updt_s:1.253 data_s:0.019 Training: 81%|████████ | 56401/70000 [19:58:14<4:45:26, 1.26s/step] Training: 81%|████████ | 56402/70000 [19:58:15<4:49:44, 1.28s/step] Training: 81%|████████ | 56403/70000 [19:58:16<4:43:30, 1.25s/step] Training: 81%|████████ | 56404/70000 [19:58:18<4:50:12, 1.28s/step] Training: 81%|████████ | 56405/70000 [19:58:19<4:44:47, 1.26s/step] Training: 81%|████████ | 56406/70000 [19:58:20<4:49:52, 1.28s/step] Training: 81%|████████ | 56407/70000 [19:58:22<4:52:03, 1.29s/step] Training: 81%|████████ | 56408/70000 [19:58:23<4:54:38, 1.30s/step] Training: 81%|████████ | 56409/70000 [19:58:24<4:47:18, 1.27s/step] Training: 81%|████████ | 56410/70000 [19:58:25<4:51:14, 1.29s/step] Training: 81%|████████ | 56411/70000 [19:58:27<4:44:36, 1.26s/step] Training: 81%|████████ | 56412/70000 [19:58:28<4:50:21, 1.28s/step] Training: 81%|████████ | 56413/70000 [19:58:29<5:00:08, 1.33s/step] Training: 81%|████████ | 56414/70000 [19:58:31<5:00:10, 1.33s/step] Training: 81%|████████ | 56415/70000 [19:58:32<4:51:00, 1.29s/step] Training: 81%|████████ | 56416/70000 [19:58:33<4:46:25, 1.27s/step] Training: 81%|████████ | 56417/70000 [19:58:34<4:41:21, 1.24s/step] Training: 81%|████████ | 56418/70000 [19:58:36<4:39:55, 1.24s/step] Training: 81%|████████ | 56419/70000 [19:58:37<4:36:40, 1.22s/step] Training: 81%|████████ | 56420/70000 [19:58:38<4:43:35, 1.25s/step] Training: 81%|████████ | 56421/70000 [19:58:40<4:55:10, 1.30s/step] Training: 81%|████████ | 56422/70000 [19:58:41<5:00:31, 1.33s/step] Training: 81%|████████ | 56423/70000 [19:58:42<4:51:04, 1.29s/step] Training: 81%|████████ | 56424/70000 [19:58:43<4:54:24, 1.30s/step] Training: 81%|████████ | 56425/70000 [19:58:45<4:47:03, 1.27s/step] Training: 81%|████████ | 56426/70000 [19:58:46<4:42:59, 1.25s/step] Training: 81%|████████ | 56427/70000 [19:58:47<4:39:00, 1.23s/step] Training: 81%|████████ | 56428/70000 [19:58:48<4:36:46, 1.22s/step] Training: 81%|████████ | 56429/70000 [19:58:49<4:37:07, 1.23s/step] Training: 81%|████████ | 56430/70000 [19:58:51<4:43:51, 1.26s/step] Training: 81%|████████ | 56431/70000 [19:58:52<4:42:32, 1.25s/step] Training: 81%|████████ | 56432/70000 [19:58:53<4:49:08, 1.28s/step] Training: 81%|████████ | 56433/70000 [19:58:55<4:43:12, 1.25s/step] Training: 81%|████████ | 56434/70000 [19:58:56<4:47:41, 1.27s/step] Training: 81%|████████ | 56435/70000 [19:58:57<4:42:34, 1.25s/step] Training: 81%|████████ | 56436/70000 [19:58:58<4:47:41, 1.27s/step] Training: 81%|████████ | 56437/70000 [19:59:00<4:47:49, 1.27s/step] Training: 81%|████████ | 56438/70000 [19:59:01<4:51:55, 1.29s/step] Training: 81%|████████ | 56439/70000 [19:59:02<4:47:21, 1.27s/step] Training: 81%|████████ | 56440/70000 [19:59:04<4:51:20, 1.29s/step] Training: 81%|████████ | 56441/70000 [19:59:05<4:44:44, 1.26s/step] Training: 81%|████████ | 56442/70000 [19:59:06<4:49:12, 1.28s/step] Training: 81%|████████ | 56443/70000 [19:59:07<4:42:55, 1.25s/step] Training: 81%|████████ | 56444/70000 [19:59:09<4:47:33, 1.27s/step] Training: 81%|████████ | 56445/70000 [19:59:10<4:51:05, 1.29s/step] Training: 81%|████████ | 56446/70000 [19:59:11<4:53:37, 1.30s/step] Training: 81%|████████ | 56447/70000 [19:59:13<4:56:51, 1.31s/step] Training: 81%|████████ | 56448/70000 [19:59:14<4:49:49, 1.28s/step] Training: 81%|████████ | 56449/70000 [19:59:15<4:43:41, 1.26s/step] Training: 81%|████████ | 56450/70000 [19:59:16<4:41:26, 1.25s/step] Training: 81%|████████ | 56451/70000 [19:59:17<4:37:22, 1.23s/step] Training: 81%|████████ | 56452/70000 [19:59:19<4:44:26, 1.26s/step] Training: 81%|████████ | 56453/70000 [19:59:20<4:49:11, 1.28s/step] Training: 81%|████████ | 56454/70000 [19:59:21<4:58:11, 1.32s/step] Training: 81%|████████ | 56455/70000 [19:59:23<4:58:56, 1.32s/step] Training: 81%|████████ | 56456/70000 [19:59:24<5:01:03, 1.33s/step] Training: 81%|████████ | 56457/70000 [19:59:25<4:51:19, 1.29s/step] Training: 81%|████████ | 56458/70000 [19:59:27<4:45:28, 1.26s/step] Training: 81%|████████ | 56459/70000 [19:59:28<4:40:37, 1.24s/step] Training: 81%|████████ | 56460/70000 [19:59:29<4:37:50, 1.23s/step] Training: 81%|████████ | 56461/70000 [19:59:30<4:37:35, 1.23s/step] Training: 81%|████████ | 56462/70000 [19:59:32<4:50:15, 1.29s/step] Training: 81%|████████ | 56463/70000 [19:59:33<4:47:08, 1.27s/step] Training: 81%|████████ | 56464/70000 [19:59:34<4:50:45, 1.29s/step] Training: 81%|████████ | 56465/70000 [19:59:35<4:44:28, 1.26s/step] Training: 81%|████████ | 56466/70000 [19:59:37<4:48:33, 1.28s/step] Training: 81%|████████ | 56467/70000 [19:59:38<4:42:33, 1.25s/step] Training: 81%|████████ | 56468/70000 [19:59:39<4:48:07, 1.28s/step] Training: 81%|████████ | 56469/70000 [19:59:40<4:42:55, 1.25s/step] Training: 81%|████████ | 56470/70000 [19:59:42<4:49:51, 1.29s/step] Training: 81%|████████ | 56471/70000 [19:59:43<4:43:41, 1.26s/step] Training: 81%|████████ | 56472/70000 [19:59:44<4:49:25, 1.28s/step] Training: 81%|████████ | 56473/70000 [19:59:46<4:43:08, 1.26s/step] Training: 81%|████████ | 56474/70000 [19:59:47<4:48:24, 1.28s/step] Training: 81%|████████ | 56475/70000 [19:59:48<4:42:23, 1.25s/step] Training: 81%|████████ | 56476/70000 [19:59:49<4:47:27, 1.28s/step] Training: 81%|████████ | 56477/70000 [19:59:51<4:51:06, 1.29s/step] Training: 81%|████████ | 56478/70000 [19:59:52<4:55:10, 1.31s/step] Training: 81%|████████ | 56479/70000 [19:59:53<4:46:31, 1.27s/step] Training: 81%|████████ | 56480/70000 [19:59:55<4:49:59, 1.29s/step] Training: 81%|████████ | 56481/70000 [19:59:56<4:43:18, 1.26s/step] Training: 81%|████████ | 56482/70000 [19:59:57<4:41:45, 1.25s/step] Training: 81%|████████ | 56483/70000 [19:59:58<4:37:24, 1.23s/step] Training: 81%|████████ | 56484/70000 [19:59:59<4:43:13, 1.26s/step] Training: 81%|████████ | 56485/70000 [20:00:01<4:48:03, 1.28s/step] Training: 81%|████████ | 56486/70000 [20:00:02<4:53:01, 1.30s/step] Training: 81%|████████ | 56487/70000 [20:00:03<4:55:39, 1.31s/step] Training: 81%|████████ | 56488/70000 [20:00:05<4:51:23, 1.29s/step] Training: 81%|████████ | 56489/70000 [20:00:06<4:44:24, 1.26s/step] Training: 81%|████████ | 56490/70000 [20:00:07<4:40:45, 1.25s/step] Training: 81%|████████ | 56491/70000 [20:00:08<4:36:45, 1.23s/step] Training: 81%|████████ | 56492/70000 [20:00:10<4:35:38, 1.22s/step] Training: 81%|████████ | 56493/70000 [20:00:11<4:36:08, 1.23s/step] Training: 81%|████████ | 56494/70000 [20:00:12<4:43:15, 1.26s/step] Training: 81%|████████ | 56495/70000 [20:00:13<4:49:29, 1.29s/step] Training: 81%|████████ | 56496/70000 [20:00:15<4:44:24, 1.26s/step] Training: 81%|████████ | 56497/70000 [20:00:16<4:39:48, 1.24s/step] Training: 81%|████████ | 56498/70000 [20:00:17<4:45:12, 1.27s/step] Training: 81%|████████ | 56499/70000 [20:00:18<4:39:51, 1.24s/step] Training: 81%|████████ | 56500/70000 [20:00:20<4:46:07, 1.27s/step]INFO 2026-03-13 16:10:12 ot_train.py:435 step:56K smpl:4M ep:12K epch:47.89 loss:0.008 grdn:0.703 lr:3.2e-06 updt_s:1.249 data_s:0.019 Training: 81%|████████ | 56501/70000 [20:00:21<4:41:44, 1.25s/step] Training: 81%|████████ | 56502/70000 [20:00:22<4:46:40, 1.27s/step] Training: 81%|████████ | 56503/70000 [20:00:24<4:49:48, 1.29s/step] Training: 81%|████████ | 56504/70000 [20:00:25<4:54:12, 1.31s/step] Training: 81%|████████ | 56505/70000 [20:00:26<4:46:11, 1.27s/step] Training: 81%|████████ | 56506/70000 [20:00:27<4:49:33, 1.29s/step] Training: 81%|████████ | 56507/70000 [20:00:29<4:42:49, 1.26s/step] Training: 81%|████████ | 56508/70000 [20:00:30<4:47:16, 1.28s/step] Training: 81%|████████ | 56509/70000 [20:00:31<4:50:51, 1.29s/step] Training: 81%|████████ | 56510/70000 [20:00:33<4:52:59, 1.30s/step] Training: 81%|████████ | 56511/70000 [20:00:34<4:56:16, 1.32s/step] Training: 81%|████████ | 56512/70000 [20:00:35<4:56:26, 1.32s/step] Training: 81%|████████ | 56513/70000 [20:00:36<4:48:42, 1.28s/step] Training: 81%|████████ | 56514/70000 [20:00:38<4:44:36, 1.27s/step] Training: 81%|████████ | 56515/70000 [20:00:39<4:39:18, 1.24s/step] Training: 81%|████████ | 56516/70000 [20:00:40<4:44:48, 1.27s/step] Training: 81%|████████ | 56517/70000 [20:00:42<4:49:04, 1.29s/step] Training: 81%|████████ | 56518/70000 [20:00:43<4:55:32, 1.32s/step] Training: 81%|████████ | 56519/70000 [20:00:44<4:49:59, 1.29s/step] Training: 81%|████████ | 56520/70000 [20:00:46<4:56:00, 1.32s/step] Training: 81%|████████ | 56521/70000 [20:00:47<4:47:15, 1.28s/step] Training: 81%|████████ | 56522/70000 [20:00:48<4:42:13, 1.26s/step] Training: 81%|████████ | 56523/70000 [20:00:49<4:37:34, 1.24s/step] Training: 81%|████████ | 56524/70000 [20:00:50<4:35:47, 1.23s/step] Training: 81%|████████ | 56525/70000 [20:00:52<4:35:54, 1.23s/step] Training: 81%|████████ | 56526/70000 [20:00:53<4:43:00, 1.26s/step] Training: 81%|████████ | 56527/70000 [20:00:54<4:38:33, 1.24s/step] Training: 81%|████████ | 56528/70000 [20:00:56<4:53:07, 1.31s/step] Training: 81%|████████ | 56529/70000 [20:00:57<4:45:14, 1.27s/step] Training: 81%|████████ | 56530/70000 [20:00:58<4:48:57, 1.29s/step] Training: 81%|████████ | 56531/70000 [20:00:59<4:42:44, 1.26s/step] Training: 81%|████████ | 56532/70000 [20:01:01<4:46:51, 1.28s/step] Training: 81%|████████ | 56533/70000 [20:01:02<4:42:20, 1.26s/step] Training: 81%|████████ | 56534/70000 [20:01:03<4:47:31, 1.28s/step] Training: 81%|████████ | 56535/70000 [20:01:04<4:41:25, 1.25s/step] Training: 81%|████████ | 56536/70000 [20:01:06<4:52:40, 1.30s/step] Training: 81%|████████ | 56537/70000 [20:01:07<4:45:22, 1.27s/step] Training: 81%|████████ | 56538/70000 [20:01:08<4:49:31, 1.29s/step] Training: 81%|████████ | 56539/70000 [20:01:09<4:42:48, 1.26s/step] Training: 81%|████████ | 56540/70000 [20:01:11<4:47:26, 1.28s/step] Training: 81%|████████ | 56541/70000 [20:01:12<4:50:28, 1.29s/step] Training: 81%|████████ | 56542/70000 [20:01:13<4:52:34, 1.30s/step] Training: 81%|████████ | 56543/70000 [20:01:15<4:44:38, 1.27s/step] Training: 81%|████████ | 56544/70000 [20:01:16<4:50:26, 1.30s/step] Training: 81%|████████ | 56545/70000 [20:01:17<4:42:42, 1.26s/step] Training: 81%|████████ | 56546/70000 [20:01:18<4:39:09, 1.24s/step] Training: 81%|████████ | 56547/70000 [20:01:20<4:35:42, 1.23s/step] Training: 81%|████████ | 56548/70000 [20:01:21<4:42:09, 1.26s/step] Training: 81%|████████ | 56549/70000 [20:01:22<4:46:35, 1.28s/step] Training: 81%|████████ | 56550/70000 [20:01:24<4:52:37, 1.31s/step] Training: 81%|████████ | 56551/70000 [20:01:25<4:45:02, 1.27s/step] Training: 81%|████████ | 56552/70000 [20:01:26<4:52:36, 1.31s/step] Training: 81%|████████ | 56553/70000 [20:01:28<4:54:57, 1.32s/step] Training: 81%|████████ | 56554/70000 [20:01:29<4:48:21, 1.29s/step] Training: 81%|████████ | 56555/70000 [20:01:30<4:42:10, 1.26s/step] Training: 81%|████████ | 56556/70000 [20:01:31<4:38:34, 1.24s/step] Training: 81%|████████ | 56557/70000 [20:01:32<4:36:39, 1.23s/step] Training: 81%|████████ | 56558/70000 [20:01:34<4:42:45, 1.26s/step] Training: 81%|████████ | 56559/70000 [20:01:35<4:38:13, 1.24s/step] Training: 81%|████████ | 56560/70000 [20:01:36<4:44:12, 1.27s/step] Training: 81%|████████ | 56561/70000 [20:01:38<4:50:02, 1.29s/step] Training: 81%|████████ | 56562/70000 [20:01:39<4:42:28, 1.26s/step] Training: 81%|████████ | 56563/70000 [20:01:40<4:45:30, 1.27s/step] Training: 81%|████████ | 56564/70000 [20:01:41<4:49:19, 1.29s/step] Training: 81%|████████ | 56565/70000 [20:01:43<4:45:35, 1.28s/step] Training: 81%|████████ | 56566/70000 [20:01:44<4:52:11, 1.31s/step] Training: 81%|████████ | 56567/70000 [20:01:45<4:44:35, 1.27s/step] Training: 81%|████████ | 56568/70000 [20:01:47<4:51:09, 1.30s/step] Training: 81%|████████ | 56569/70000 [20:01:48<4:44:04, 1.27s/step] Training: 81%|████████ | 56570/70000 [20:01:49<4:48:01, 1.29s/step] Training: 81%|████████ | 56571/70000 [20:01:50<4:41:55, 1.26s/step] Training: 81%|████████ | 56572/70000 [20:01:52<4:46:11, 1.28s/step] Training: 81%|████████ | 56573/70000 [20:01:53<4:40:07, 1.25s/step] Training: 81%|████████ | 56574/70000 [20:01:54<4:54:18, 1.32s/step] Training: 81%|████████ | 56575/70000 [20:01:55<4:46:02, 1.28s/step] Training: 81%|████████ | 56576/70000 [20:01:57<4:49:59, 1.30s/step] Training: 81%|████████ | 56577/70000 [20:01:58<4:44:53, 1.27s/step] Training: 81%|████████ | 56578/70000 [20:01:59<4:40:33, 1.25s/step] Training: 81%|████████ | 56579/70000 [20:02:00<4:36:09, 1.23s/step] Training: 81%|████████ | 56580/70000 [20:02:02<4:42:17, 1.26s/step] Training: 81%|████████ | 56581/70000 [20:02:03<4:37:22, 1.24s/step] Training: 81%|████████ | 56582/70000 [20:02:04<4:45:21, 1.28s/step] Training: 81%|████████ | 56583/70000 [20:02:05<4:39:39, 1.25s/step] Training: 81%|████████ | 56584/70000 [20:02:07<4:48:14, 1.29s/step] Training: 81%|████████ | 56585/70000 [20:02:08<4:52:30, 1.31s/step] Training: 81%|████████ | 56586/70000 [20:02:09<4:46:42, 1.28s/step] Training: 81%|████████ | 56587/70000 [20:02:11<4:40:49, 1.26s/step] Training: 81%|████████ | 56588/70000 [20:02:12<4:38:01, 1.24s/step] Training: 81%|████████ | 56589/70000 [20:02:13<4:37:57, 1.24s/step] Training: 81%|████████ | 56590/70000 [20:02:14<4:43:30, 1.27s/step] Training: 81%|████████ | 56591/70000 [20:02:16<4:38:22, 1.25s/step] Training: 81%|████████ | 56592/70000 [20:02:17<4:44:36, 1.27s/step] Training: 81%|████████ | 56593/70000 [20:02:18<4:43:16, 1.27s/step] Training: 81%|████████ | 56594/70000 [20:02:19<4:37:27, 1.24s/step] Training: 81%|████████ | 56595/70000 [20:02:21<4:41:55, 1.26s/step] Training: 81%|████████ | 56596/70000 [20:02:22<4:46:27, 1.28s/step] Training: 81%|████████ | 56597/70000 [20:02:23<4:41:32, 1.26s/step] Training: 81%|████████ | 56598/70000 [20:02:25<4:49:35, 1.30s/step] Training: 81%|████████ | 56599/70000 [20:02:26<4:42:13, 1.26s/step] Training: 81%|████████ | 56600/70000 [20:02:27<4:48:42, 1.29s/step]INFO 2026-03-13 16:12:19 ot_train.py:435 step:57K smpl:4M ep:12K epch:47.97 loss:0.007 grdn:0.643 lr:3.1e-06 updt_s:1.253 data_s:0.019 Training: 81%|████████ | 56601/70000 [20:02:28<4:41:46, 1.26s/step] Training: 81%|████████ | 56602/70000 [20:02:30<4:54:19, 1.32s/step] Training: 81%|████████ | 56603/70000 [20:02:31<4:45:36, 1.28s/step] Training: 81%|████████ | 56604/70000 [20:02:32<4:48:27, 1.29s/step] Training: 81%|████████ | 56605/70000 [20:02:34<4:51:29, 1.31s/step] Training: 81%|████████ | 56606/70000 [20:02:35<4:54:04, 1.32s/step] Training: 81%|████████ | 56607/70000 [20:02:36<4:45:21, 1.28s/step] Training: 81%|████████ | 56608/70000 [20:02:37<4:49:02, 1.29s/step] Training: 81%|████████ | 56609/70000 [20:02:39<4:41:48, 1.26s/step] Training: 81%|████████ | 56610/70000 [20:02:40<4:41:35, 1.26s/step] Training: 81%|████████ | 56611/70000 [20:02:41<4:37:00, 1.24s/step] Training: 81%|████████ | 56612/70000 [20:02:42<4:42:16, 1.27s/step] Training: 81%|████████ | 56613/70000 [20:02:44<4:46:11, 1.28s/step] Training: 81%|████████ | 56614/70000 [20:02:45<4:51:27, 1.31s/step] Training: 81%|████████ | 56615/70000 [20:02:46<4:43:43, 1.27s/step] Training: 81%|████████ | 56616/70000 [20:02:48<4:50:34, 1.30s/step] Training: 81%|████████ | 56617/70000 [20:02:49<4:43:06, 1.27s/step] Training: 81%|████████ | 56618/70000 [20:02:50<4:40:03, 1.26s/step] Training: 81%|████████ | 56619/70000 [20:02:51<4:46:03, 1.28s/step] Training: 81%|████████ | 56620/70000 [20:02:53<4:40:23, 1.26s/step] Training: 81%|████████ | 56621/70000 [20:02:54<4:38:23, 1.25s/step] Training: 81%|████████ | 56622/70000 [20:02:55<4:45:16, 1.28s/step] Training: 81%|████████ | 56623/70000 [20:02:56<4:39:08, 1.25s/step] Training: 81%|████████ | 56624/70000 [20:02:58<4:43:32, 1.27s/step] Training: 81%|████████ | 56625/70000 [20:02:59<4:38:03, 1.25s/step] Training: 81%|████████ | 56626/70000 [20:03:00<4:46:10, 1.28s/step] Training: 81%|████████ | 56627/70000 [20:03:01<4:39:01, 1.25s/step] Training: 81%|████████ | 56628/70000 [20:03:03<4:44:12, 1.28s/step] Training: 81%|████████ | 56629/70000 [20:03:04<4:39:56, 1.26s/step] Training: 81%|████████ | 56630/70000 [20:03:05<4:47:09, 1.29s/step] Training: 81%|████████ | 56631/70000 [20:03:07<4:40:37, 1.26s/step] Training: 81%|████████ | 56632/70000 [20:03:08<4:48:17, 1.29s/step] Training: 81%|████████ | 56633/70000 [20:03:09<4:41:07, 1.26s/step] Training: 81%|████████ | 56634/70000 [20:03:10<4:45:59, 1.28s/step] Training: 81%|████████ | 56635/70000 [20:03:12<4:50:12, 1.30s/step] Training: 81%|████████ | 56636/70000 [20:03:13<4:51:34, 1.31s/step] Training: 81%|████████ | 56637/70000 [20:03:14<4:53:06, 1.32s/step] Training: 81%|████████ | 56638/70000 [20:03:16<4:54:00, 1.32s/step] Training: 81%|████████ | 56639/70000 [20:03:17<4:45:00, 1.28s/step] Training: 81%|████████ | 56640/70000 [20:03:20<6:11:42, 1.67s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 81%|████████ | 56641/70000 [20:03:24<8:58:07, 2.42s/step] Training: 81%|████████ | 56642/70000 [20:03:25<7:39:47, 2.07s/step] Training: 81%|████████ | 56643/70000 [20:03:26<6:54:42, 1.86s/step] Training: 81%|████████ | 56644/70000 [20:03:28<6:22:49, 1.72s/step] Training: 81%|████████ | 56645/70000 [20:03:29<6:01:13, 1.62s/step] Training: 81%|████████ | 56646/70000 [20:03:31<5:47:14, 1.56s/step] Training: 81%|████████ | 56647/70000 [20:03:32<5:22:23, 1.45s/step] Training: 81%|████████ | 56648/70000 [20:03:33<5:17:51, 1.43s/step] Training: 81%|████████ | 56649/70000 [20:03:34<5:02:08, 1.36s/step] Training: 81%|████████ | 56650/70000 [20:03:36<4:54:13, 1.32s/step] Training: 81%|████████ | 56651/70000 [20:03:37<4:46:57, 1.29s/step] Training: 81%|████████ | 56652/70000 [20:03:38<4:41:49, 1.27s/step] Training: 81%|████████ | 56653/70000 [20:03:39<4:38:55, 1.25s/step] Training: 81%|████████ | 56654/70000 [20:03:41<4:44:20, 1.28s/step] Training: 81%|████████ | 56655/70000 [20:03:42<4:38:20, 1.25s/step] Training: 81%|████████ | 56656/70000 [20:03:43<4:43:37, 1.28s/step] Training: 81%|████████ | 56657/70000 [20:03:44<4:37:52, 1.25s/step] Training: 81%|████████ | 56658/70000 [20:03:45<4:33:41, 1.23s/step] Training: 81%|████████ | 56659/70000 [20:03:47<4:39:47, 1.26s/step] Training: 81%|████████ | 56660/70000 [20:03:48<4:44:51, 1.28s/step] Training: 81%|████████ | 56661/70000 [20:03:49<4:40:07, 1.26s/step] Training: 81%|████████ | 56662/70000 [20:03:51<4:45:48, 1.29s/step] Training: 81%|████████ | 56663/70000 [20:03:52<4:39:17, 1.26s/step] Training: 81%|████████ | 56664/70000 [20:03:53<4:47:39, 1.29s/step] Training: 81%|████████ | 56665/70000 [20:03:54<4:40:31, 1.26s/step] Training: 81%|████████ | 56666/70000 [20:03:56<4:45:51, 1.29s/step] Training: 81%|████████ | 56667/70000 [20:03:57<4:43:58, 1.28s/step] Training: 81%|████████ | 56668/70000 [20:03:58<4:47:52, 1.30s/step] Training: 81%|████████ | 56669/70000 [20:04:00<4:50:07, 1.31s/step] Training: 81%|████████ | 56670/70000 [20:04:01<4:53:21, 1.32s/step] Training: 81%|████████ | 56671/70000 [20:04:02<4:44:50, 1.28s/step] Training: 81%|████████ | 56672/70000 [20:04:04<4:47:58, 1.30s/step] Training: 81%|████████ | 56673/70000 [20:04:05<4:40:56, 1.26s/step] Training: 81%|████████ | 56674/70000 [20:04:06<4:37:05, 1.25s/step] Training: 81%|████████ | 56675/70000 [20:04:07<4:33:15, 1.23s/step] Training: 81%|████████ | 56676/70000 [20:04:08<4:40:20, 1.26s/step] Training: 81%|████████ | 56677/70000 [20:04:10<4:51:22, 1.31s/step] Training: 81%|████████ | 56678/70000 [20:04:11<4:53:38, 1.32s/step] Training: 81%|████████ | 56679/70000 [20:04:13<4:51:06, 1.31s/step] Training: 81%|████████ | 56680/70000 [20:04:14<4:53:43, 1.32s/step] Training: 81%|████████ | 56681/70000 [20:04:15<4:45:03, 1.28s/step] Training: 81%|████████ | 56682/70000 [20:04:16<4:42:12, 1.27s/step] Training: 81%|████████ | 56683/70000 [20:04:18<4:36:32, 1.25s/step] Training: 81%|████████ | 56684/70000 [20:04:19<4:39:02, 1.26s/step] Training: 81%|████████ | 56685/70000 [20:04:20<4:43:13, 1.28s/step] Training: 81%|████████ | 56686/70000 [20:04:21<4:39:22, 1.26s/step] Training: 81%|████████ | 56687/70000 [20:04:23<4:34:44, 1.24s/step] Training: 81%|████████ | 56688/70000 [20:04:24<4:40:19, 1.26s/step] Training: 81%|████████ | 56689/70000 [20:04:25<4:35:39, 1.24s/step] Training: 81%|████████ | 56690/70000 [20:04:26<4:32:02, 1.23s/step] Training: 81%|████████ | 56691/70000 [20:04:28<4:37:39, 1.25s/step] Training: 81%|████████ | 56692/70000 [20:04:29<4:44:34, 1.28s/step] Training: 81%|████████ | 56693/70000 [20:04:30<4:39:10, 1.26s/step] Training: 81%|████████ | 56694/70000 [20:04:31<4:47:11, 1.29s/step] Training: 81%|████████ | 56695/70000 [20:04:33<4:40:02, 1.26s/step] Training: 81%|████████ | 56696/70000 [20:04:34<4:46:08, 1.29s/step] Training: 81%|████████ | 56697/70000 [20:04:35<4:39:20, 1.26s/step] Training: 81%|████████ | 56698/70000 [20:04:36<4:34:44, 1.24s/step] Training: 81%|████████ | 56699/70000 [20:04:38<4:31:25, 1.22s/step] Training: 81%|████████ | 56700/70000 [20:04:39<4:29:06, 1.21s/step]INFO 2026-03-13 16:14:31 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.06 loss:0.008 grdn:0.588 lr:3.1e-06 updt_s:1.253 data_s:0.061 Training: 81%|████████ | 56701/70000 [20:04:40<4:44:53, 1.29s/step] Training: 81%|████████ | 56702/70000 [20:04:42<4:48:42, 1.30s/step] Training: 81%|████████ | 56703/70000 [20:04:43<4:41:32, 1.27s/step] Training: 81%|████████ | 56704/70000 [20:04:44<4:45:37, 1.29s/step] Training: 81%|████████ | 56705/70000 [20:04:45<4:39:17, 1.26s/step] Training: 81%|████████ | 56706/70000 [20:04:47<4:37:05, 1.25s/step] Training: 81%|████████ | 56707/70000 [20:04:48<4:32:45, 1.23s/step] Training: 81%|████████ | 56708/70000 [20:04:49<4:39:00, 1.26s/step] Training: 81%|████████ | 56709/70000 [20:04:50<4:42:06, 1.27s/step] Training: 81%|████████ | 56710/70000 [20:04:52<4:53:49, 1.33s/step] Training: 81%|████████ | 56711/70000 [20:04:53<4:44:38, 1.29s/step] Training: 81%|████████ | 56712/70000 [20:04:54<4:47:27, 1.30s/step] Training: 81%|████████ | 56713/70000 [20:04:56<4:40:11, 1.27s/step] Training: 81%|████████ | 56714/70000 [20:04:57<4:36:26, 1.25s/step] Training: 81%|████████ | 56715/70000 [20:04:58<4:32:34, 1.23s/step] Training: 81%|████████ | 56716/70000 [20:04:59<4:40:56, 1.27s/step] Training: 81%|████████ | 56717/70000 [20:05:00<4:35:33, 1.24s/step] Training: 81%|████████ | 56718/70000 [20:05:02<4:48:04, 1.30s/step] Training: 81%|████████ | 56719/70000 [20:05:03<4:40:57, 1.27s/step] Training: 81%|████████ | 56720/70000 [20:05:04<4:44:49, 1.29s/step] Training: 81%|████████ | 56721/70000 [20:05:06<4:38:32, 1.26s/step] Training: 81%|████████ | 56722/70000 [20:05:07<4:43:08, 1.28s/step] Training: 81%|████████ | 56723/70000 [20:05:08<4:37:11, 1.25s/step] Training: 81%|████████ | 56724/70000 [20:05:09<4:36:27, 1.25s/step] Training: 81%|████████ | 56725/70000 [20:05:11<4:39:48, 1.26s/step] Training: 81%|████████ | 56726/70000 [20:05:12<4:45:36, 1.29s/step] Training: 81%|████████ | 56727/70000 [20:05:13<4:38:55, 1.26s/step] Training: 81%|████████ | 56728/70000 [20:05:15<4:44:22, 1.29s/step] Training: 81%|████████ | 56729/70000 [20:05:16<4:38:09, 1.26s/step] Training: 81%|████████ | 56730/70000 [20:05:17<4:42:21, 1.28s/step] Training: 81%|████████ | 56731/70000 [20:05:18<4:36:33, 1.25s/step] Training: 81%|████████ | 56732/70000 [20:05:19<4:32:16, 1.23s/step] Training: 81%|████████ | 56733/70000 [20:05:21<4:44:49, 1.29s/step] Training: 81%|████████ | 56734/70000 [20:05:22<4:53:23, 1.33s/step] Training: 81%|████████ | 56735/70000 [20:05:23<4:44:26, 1.29s/step] Training: 81%|████████ | 56736/70000 [20:05:25<4:47:10, 1.30s/step] Training: 81%|████████ | 56737/70000 [20:05:26<4:39:40, 1.27s/step] Training: 81%|████████ | 56738/70000 [20:05:27<4:36:59, 1.25s/step] Training: 81%|████████ | 56739/70000 [20:05:28<4:32:42, 1.23s/step] Training: 81%|████████ | 56740/70000 [20:05:30<4:29:41, 1.22s/step] Training: 81%|████████ | 56741/70000 [20:05:31<4:36:02, 1.25s/step] Training: 81%|████████ | 56742/70000 [20:05:32<4:42:30, 1.28s/step] Training: 81%|████████ | 56743/70000 [20:05:34<4:45:07, 1.29s/step] Training: 81%|████████ | 56744/70000 [20:05:35<4:47:20, 1.30s/step] Training: 81%|████████ | 56745/70000 [20:05:36<4:40:59, 1.27s/step] Training: 81%|████████ | 56746/70000 [20:05:37<4:37:11, 1.25s/step] Training: 81%|████████ | 56747/70000 [20:05:38<4:33:02, 1.24s/step] Training: 81%|████████ | 56748/70000 [20:05:40<4:30:10, 1.22s/step] Training: 81%|████████ | 56749/70000 [20:05:41<4:37:17, 1.26s/step] Training: 81%|████████ | 56750/70000 [20:05:42<4:42:33, 1.28s/step] Training: 81%|████████ | 56751/70000 [20:05:44<4:44:53, 1.29s/step] Training: 81%|████████ | 56752/70000 [20:05:45<4:47:19, 1.30s/step] Training: 81%|████████ | 56753/70000 [20:05:46<4:40:22, 1.27s/step] Training: 81%|████████ | 56754/70000 [20:05:48<4:44:13, 1.29s/step] Training: 81%|████████ | 56755/70000 [20:05:49<4:38:04, 1.26s/step] Training: 81%|████████ | 56756/70000 [20:05:50<4:33:18, 1.24s/step] Training: 81%|████████ | 56757/70000 [20:05:51<4:39:28, 1.27s/step] Training: 81%|████████ | 56758/70000 [20:05:53<4:46:08, 1.30s/step] Training: 81%|████████ | 56759/70000 [20:05:54<4:38:56, 1.26s/step] Training: 81%|████████ | 56760/70000 [20:05:55<4:43:26, 1.28s/step] Training: 81%|████████ | 56761/70000 [20:05:56<4:37:08, 1.26s/step] Training: 81%|████████ | 56762/70000 [20:05:58<4:41:41, 1.28s/step] Training: 81%|████████ | 56763/70000 [20:05:59<4:35:53, 1.25s/step] Training: 81%|████████ | 56764/70000 [20:06:00<4:32:13, 1.23s/step] Training: 81%|████████ | 56765/70000 [20:06:01<4:42:27, 1.28s/step] Training: 81%|████████ | 56766/70000 [20:06:03<4:45:34, 1.29s/step] Training: 81%|████████ | 56767/70000 [20:06:04<4:38:30, 1.26s/step] Training: 81%|████████ | 56768/70000 [20:06:05<4:42:03, 1.28s/step] Training: 81%|████████ | 56769/70000 [20:06:06<4:36:05, 1.25s/step] Training: 81%|████████ | 56770/70000 [20:06:08<4:33:58, 1.24s/step] Training: 81%|████████ | 56771/70000 [20:06:09<4:30:21, 1.23s/step] Training: 81%|████████ | 56772/70000 [20:06:10<4:27:59, 1.22s/step] Training: 81%|████████ | 56773/70000 [20:06:11<4:29:36, 1.22s/step] Training: 81%|████████ | 56774/70000 [20:06:13<4:38:24, 1.26s/step] Training: 81%|████████ | 56775/70000 [20:06:14<4:33:34, 1.24s/step] Training: 81%|████████ | 56776/70000 [20:06:15<4:33:31, 1.24s/step] Training: 81%|████████ | 56777/70000 [20:06:16<4:38:39, 1.26s/step] Training: 81%|████████ | 56778/70000 [20:06:18<4:35:28, 1.25s/step] Training: 81%|████████ | 56779/70000 [20:06:19<4:31:27, 1.23s/step] Training: 81%|████████ | 56780/70000 [20:06:20<4:28:33, 1.22s/step] Training: 81%|████████ | 56781/70000 [20:06:21<4:36:02, 1.25s/step] Training: 81%|████████ | 56782/70000 [20:06:23<4:48:27, 1.31s/step] Training: 81%|████████ | 56783/70000 [20:06:24<4:40:43, 1.27s/step] Training: 81%|████████ | 56784/70000 [20:06:25<4:37:12, 1.26s/step] Training: 81%|████████ | 56785/70000 [20:06:26<4:32:41, 1.24s/step] Training: 81%|████████ | 56786/70000 [20:06:28<4:38:44, 1.27s/step] Training: 81%|████████ | 56787/70000 [20:06:29<4:33:38, 1.24s/step] Training: 81%|████████ | 56788/70000 [20:06:30<4:30:12, 1.23s/step] Training: 81%|████████ | 56789/70000 [20:06:31<4:36:58, 1.26s/step] Training: 81%|████████ | 56790/70000 [20:06:33<4:47:56, 1.31s/step] Training: 81%|████████ | 56791/70000 [20:06:34<4:40:09, 1.27s/step] Training: 81%|████████ | 56792/70000 [20:06:35<4:46:54, 1.30s/step] Training: 81%|████████ | 56793/70000 [20:06:37<4:39:25, 1.27s/step] Training: 81%|████████ | 56794/70000 [20:06:38<4:43:16, 1.29s/step] Training: 81%|████████ | 56795/70000 [20:06:39<4:37:17, 1.26s/step] Training: 81%|████████ | 56796/70000 [20:06:40<4:32:06, 1.24s/step] Training: 81%|████████ | 56797/70000 [20:06:42<4:38:14, 1.26s/step] Training: 81%|████████ | 56798/70000 [20:06:43<4:44:44, 1.29s/step] Training: 81%|████████ | 56799/70000 [20:06:44<4:36:57, 1.26s/step] Training: 81%|████████ | 56800/70000 [20:06:45<4:41:25, 1.28s/step]INFO 2026-03-13 16:16:38 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.14 loss:0.008 grdn:0.603 lr:3.1e-06 updt_s:1.246 data_s:0.019 Training: 81%|████████ | 56801/70000 [20:06:47<4:35:20, 1.25s/step] Training: 81%|████████ | 56802/70000 [20:06:48<4:34:02, 1.25s/step] Training: 81%|████████ | 56803/70000 [20:06:49<4:30:14, 1.23s/step] Training: 81%|████████ | 56804/70000 [20:06:50<4:27:39, 1.22s/step] Training: 81%|████████ | 56805/70000 [20:06:51<4:27:22, 1.22s/step] Training: 81%|████████ | 56806/70000 [20:06:53<4:38:38, 1.27s/step] Training: 81%|████████ | 56807/70000 [20:06:54<4:32:44, 1.24s/step] Training: 81%|████████ | 56808/70000 [20:06:55<4:42:17, 1.28s/step] Training: 81%|████████ | 56809/70000 [20:06:57<4:36:19, 1.26s/step] Training: 81%|████████ | 56810/70000 [20:06:58<4:32:57, 1.24s/step] Training: 81%|████████ | 56811/70000 [20:06:59<4:29:54, 1.23s/step] Training: 81%|████████ | 56812/70000 [20:07:00<4:27:00, 1.21s/step] Training: 81%|████████ | 56813/70000 [20:07:02<4:34:43, 1.25s/step] Training: 81%|████████ | 56814/70000 [20:07:03<4:40:58, 1.28s/step] Training: 81%|████████ | 56815/70000 [20:07:04<4:45:57, 1.30s/step] Training: 81%|████████ | 56816/70000 [20:07:06<4:46:40, 1.30s/step] Training: 81%|████████ | 56817/70000 [20:07:07<4:39:29, 1.27s/step] Training: 81%|████████ | 56818/70000 [20:07:08<4:43:29, 1.29s/step] Training: 81%|████████ | 56819/70000 [20:07:09<4:36:55, 1.26s/step] Training: 81%|████████ | 56820/70000 [20:07:10<4:32:10, 1.24s/step] Training: 81%|████████ | 56821/70000 [20:07:12<4:37:50, 1.26s/step] Training: 81%|████████ | 56822/70000 [20:07:13<4:44:27, 1.30s/step] Training: 81%|████████ | 56823/70000 [20:07:15<4:47:33, 1.31s/step] Training: 81%|████████ | 56824/70000 [20:07:16<4:50:30, 1.32s/step] Training: 81%|████████ | 56825/70000 [20:07:17<4:41:41, 1.28s/step] Training: 81%|████████ | 56826/70000 [20:07:18<4:44:39, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=15068 Training: 81%|████████ | 56827/70000 [20:07:20<4:37:49, 1.27s/step] Training: 81%|████████ | 56828/70000 [20:07:21<4:32:44, 1.24s/step] Training: 81%|████████ | 56829/70000 [20:07:22<4:39:45, 1.27s/step] Training: 81%|████████ | 56830/70000 [20:07:23<4:44:02, 1.29s/step] Training: 81%|████████ | 56831/70000 [20:07:25<4:47:16, 1.31s/step] Training: 81%|████████ | 56832/70000 [20:07:26<4:47:26, 1.31s/step] Training: 81%|████████ | 56833/70000 [20:07:27<4:39:22, 1.27s/step] Training: 81%|████████ | 56834/70000 [20:07:29<4:35:59, 1.26s/step] Training: 81%|████████ | 56835/70000 [20:07:30<4:31:39, 1.24s/step] Training: 81%|████████ | 56836/70000 [20:07:31<4:28:31, 1.22s/step] Training: 81%|████████ | 56837/70000 [20:07:32<4:27:28, 1.22s/step] Training: 81%|████████ | 56838/70000 [20:07:33<4:37:30, 1.27s/step] Training: 81%|████████ | 56839/70000 [20:07:35<4:43:19, 1.29s/step] Training: 81%|████████ | 56840/70000 [20:07:36<4:47:51, 1.31s/step] Training: 81%|████████ | 56841/70000 [20:07:37<4:39:51, 1.28s/step] Training: 81%|████████ | 56842/70000 [20:07:39<4:35:34, 1.26s/step] Training: 81%|████████ | 56843/70000 [20:07:40<4:31:16, 1.24s/step] Training: 81%|████████ | 56844/70000 [20:07:41<4:28:11, 1.22s/step] Training: 81%|████████ | 56845/70000 [20:07:42<4:35:40, 1.26s/step] Training: 81%|████████ | 56846/70000 [20:07:44<4:40:58, 1.28s/step] Training: 81%|████████ | 56847/70000 [20:07:45<4:38:21, 1.27s/step] Training: 81%|████████ | 56848/70000 [20:07:46<4:41:55, 1.29s/step] Training: 81%|████████ | 56849/70000 [20:07:47<4:35:59, 1.26s/step] Training: 81%|████████ | 56850/70000 [20:07:49<4:41:04, 1.28s/step] Training: 81%|████████ | 56851/70000 [20:07:50<4:35:11, 1.26s/step] Training: 81%|████████ | 56852/70000 [20:07:51<4:31:13, 1.24s/step] Training: 81%|████████ | 56853/70000 [20:07:52<4:37:20, 1.27s/step] Training: 81%|████████ | 56854/70000 [20:07:54<4:45:21, 1.30s/step] Training: 81%|████████ | 56855/70000 [20:07:55<4:38:08, 1.27s/step] Training: 81%|████████ | 56856/70000 [20:07:56<4:47:23, 1.31s/step] Training: 81%|████████ | 56857/70000 [20:07:58<4:39:25, 1.28s/step] Training: 81%|████████ | 56858/70000 [20:07:59<4:43:36, 1.29s/step] Training: 81%|████████ | 56859/70000 [20:08:00<4:36:43, 1.26s/step] Training: 81%|████████ | 56860/70000 [20:08:01<4:31:56, 1.24s/step] Training: 81%|████████ | 56861/70000 [20:08:03<4:37:53, 1.27s/step] Training: 81%|████████ | 56862/70000 [20:08:04<4:42:39, 1.29s/step] Training: 81%|████████ | 56863/70000 [20:08:05<4:36:28, 1.26s/step] Training: 81%|████████ | 56864/70000 [20:08:07<4:45:52, 1.31s/step] Training: 81%|████████ | 56865/70000 [20:08:08<4:38:05, 1.27s/step] Training: 81%|████████ | 56866/70000 [20:08:09<4:35:54, 1.26s/step] Training: 81%|████████ | 56867/70000 [20:08:10<4:31:23, 1.24s/step] Training: 81%|████████ | 56868/70000 [20:08:11<4:28:00, 1.22s/step] Training: 81%|████████ | 56869/70000 [20:08:13<4:27:23, 1.22s/step] Training: 81%|████████ | 56870/70000 [20:08:14<4:34:25, 1.25s/step] Training: 81%|████████ | 56871/70000 [20:08:15<4:30:29, 1.24s/step] Training: 81%|████████ | 56872/70000 [20:08:17<4:39:31, 1.28s/step] Training: 81%|████████ | 56873/70000 [20:08:18<4:33:22, 1.25s/step] Training: 81%|████████ | 56874/70000 [20:08:19<4:31:25, 1.24s/step] Training: 81%|████████▏ | 56875/70000 [20:08:20<4:27:26, 1.22s/step] Training: 81%|████████▏ | 56876/70000 [20:08:21<4:25:17, 1.21s/step] Training: 81%|████████▏ | 56877/70000 [20:08:23<4:33:02, 1.25s/step] Training: 81%|████████▏ | 56878/70000 [20:08:24<4:38:22, 1.27s/step] Training: 81%|████████▏ | 56879/70000 [20:08:25<4:32:58, 1.25s/step] Training: 81%|████████▏ | 56880/70000 [20:08:27<4:40:33, 1.28s/step] Training: 81%|████████▏ | 56881/70000 [20:08:28<4:33:36, 1.25s/step] Training: 81%|████████▏ | 56882/70000 [20:08:29<4:38:13, 1.27s/step] Training: 81%|████████▏ | 56883/70000 [20:08:30<4:32:43, 1.25s/step] Training: 81%|████████▏ | 56884/70000 [20:08:31<4:28:58, 1.23s/step] Training: 81%|████████▏ | 56885/70000 [20:08:33<4:35:00, 1.26s/step] Training: 81%|████████▏ | 56886/70000 [20:08:34<4:42:24, 1.29s/step] Training: 81%|████████▏ | 56887/70000 [20:08:35<4:35:51, 1.26s/step] Training: 81%|████████▏ | 56888/70000 [20:08:37<4:33:54, 1.25s/step] Training: 81%|████████▏ | 56889/70000 [20:08:38<4:39:04, 1.28s/step] Training: 81%|████████▏ | 56890/70000 [20:08:39<4:41:46, 1.29s/step] Training: 81%|████████▏ | 56891/70000 [20:08:40<4:35:04, 1.26s/step] Training: 81%|████████▏ | 56892/70000 [20:08:42<4:30:24, 1.24s/step] Training: 81%|████████▏ | 56893/70000 [20:08:43<4:29:57, 1.24s/step] Training: 81%|████████▏ | 56894/70000 [20:08:44<4:36:09, 1.26s/step] Training: 81%|████████▏ | 56895/70000 [20:08:45<4:31:30, 1.24s/step] Training: 81%|████████▏ | 56896/70000 [20:08:47<4:36:22, 1.27s/step] Training: 81%|████████▏ | 56897/70000 [20:08:48<4:41:39, 1.29s/step] Training: 81%|████████▏ | 56898/70000 [20:08:49<4:37:15, 1.27s/step] Training: 81%|████████▏ | 56899/70000 [20:08:50<4:32:03, 1.25s/step] Training: 81%|████████▏ | 56900/70000 [20:08:52<4:28:21, 1.23s/step]INFO 2026-03-13 16:18:44 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.23 loss:0.007 grdn:0.749 lr:3.0e-06 updt_s:1.241 data_s:0.019 Training: 81%|████████▏ | 56901/70000 [20:08:53<4:27:00, 1.22s/step] Training: 81%|████████▏ | 56902/70000 [20:08:54<4:34:06, 1.26s/step] Training: 81%|████████▏ | 56903/70000 [20:08:55<4:38:33, 1.28s/step] Training: 81%|████████▏ | 56904/70000 [20:08:57<4:43:50, 1.30s/step] Training: 81%|████████▏ | 56905/70000 [20:08:58<4:45:57, 1.31s/step] Training: 81%|████████▏ | 56906/70000 [20:08:59<4:39:17, 1.28s/step] Training: 81%|████████▏ | 56907/70000 [20:09:01<4:33:25, 1.25s/step] Training: 81%|████████▏ | 56908/70000 [20:09:02<4:29:22, 1.23s/step] Training: 81%|████████▏ | 56909/70000 [20:09:03<4:35:36, 1.26s/step] Training: 81%|████████▏ | 56910/70000 [20:09:04<4:32:58, 1.25s/step] Training: 81%|████████▏ | 56911/70000 [20:09:06<4:32:27, 1.25s/step] Training: 81%|████████▏ | 56912/70000 [20:09:07<4:38:10, 1.28s/step] Training: 81%|████████▏ | 56913/70000 [20:09:08<4:43:10, 1.30s/step] Training: 81%|████████▏ | 56914/70000 [20:09:10<4:44:41, 1.31s/step] Training: 81%|████████▏ | 56915/70000 [20:09:11<4:37:12, 1.27s/step] Training: 81%|████████▏ | 56916/70000 [20:09:12<4:31:49, 1.25s/step] Training: 81%|████████▏ | 56917/70000 [20:09:13<4:37:52, 1.27s/step] Training: 81%|████████▏ | 56918/70000 [20:09:15<4:42:00, 1.29s/step] Training: 81%|████████▏ | 56919/70000 [20:09:16<4:36:13, 1.27s/step] Training: 81%|████████▏ | 56920/70000 [20:09:17<4:34:10, 1.26s/step] Training: 81%|████████▏ | 56921/70000 [20:09:18<4:38:54, 1.28s/step] Training: 81%|████████▏ | 56922/70000 [20:09:20<4:41:47, 1.29s/step] Training: 81%|████████▏ | 56923/70000 [20:09:21<4:34:53, 1.26s/step] Training: 81%|████████▏ | 56924/70000 [20:09:22<4:30:12, 1.24s/step] Training: 81%|████████▏ | 56925/70000 [20:09:23<4:29:27, 1.24s/step] Training: 81%|████████▏ | 56926/70000 [20:09:25<4:35:55, 1.27s/step] Training: 81%|████████▏ | 56927/70000 [20:09:26<4:39:57, 1.28s/step] Training: 81%|████████▏ | 56928/70000 [20:09:27<4:42:43, 1.30s/step] Training: 81%|████████▏ | 56929/70000 [20:09:29<4:35:19, 1.26s/step] Training: 81%|████████▏ | 56930/70000 [20:09:30<4:40:51, 1.29s/step] Training: 81%|████████▏ | 56931/70000 [20:09:31<4:33:33, 1.26s/step] Training: 81%|████████▏ | 56932/70000 [20:09:32<4:29:24, 1.24s/step] Training: 81%|████████▏ | 56933/70000 [20:09:33<4:27:41, 1.23s/step] Training: 81%|████████▏ | 56934/70000 [20:09:35<4:36:55, 1.27s/step] Training: 81%|████████▏ | 56935/70000 [20:09:36<4:40:36, 1.29s/step] Training: 81%|████████▏ | 56936/70000 [20:09:37<4:44:19, 1.31s/step] Training: 81%|████████▏ | 56937/70000 [20:09:39<4:37:03, 1.27s/step] Training: 81%|████████▏ | 56938/70000 [20:09:40<4:39:33, 1.28s/step] Training: 81%|████████▏ | 56939/70000 [20:09:41<4:32:56, 1.25s/step] Training: 81%|████████▏ | 56940/70000 [20:09:42<4:28:30, 1.23s/step] Training: 81%|████████▏ | 56941/70000 [20:09:44<4:34:18, 1.26s/step] Training: 81%|████████▏ | 56942/70000 [20:09:45<4:31:09, 1.25s/step] Training: 81%|████████▏ | 56943/70000 [20:09:46<4:36:09, 1.27s/step] Training: 81%|████████▏ | 56944/70000 [20:09:48<4:40:10, 1.29s/step] Training: 81%|████████▏ | 56945/70000 [20:09:49<4:33:58, 1.26s/step] Training: 81%|████████▏ | 56946/70000 [20:09:50<4:41:05, 1.29s/step] Training: 81%|████████▏ | 56947/70000 [20:09:51<4:33:45, 1.26s/step] Training: 81%|████████▏ | 56948/70000 [20:09:52<4:29:21, 1.24s/step] Training: 81%|████████▏ | 56949/70000 [20:09:54<4:35:10, 1.27s/step] Training: 81%|████████▏ | 56950/70000 [20:09:55<4:39:34, 1.29s/step] Training: 81%|████████▏ | 56951/70000 [20:09:56<4:34:35, 1.26s/step] Training: 81%|████████▏ | 56952/70000 [20:09:58<4:33:02, 1.26s/step] Training: 81%|████████▏ | 56953/70000 [20:09:59<4:36:26, 1.27s/step] Training: 81%|████████▏ | 56954/70000 [20:10:00<4:40:21, 1.29s/step] Training: 81%|████████▏ | 56955/70000 [20:10:02<4:43:53, 1.31s/step] Training: 81%|████████▏ | 56956/70000 [20:10:03<4:35:44, 1.27s/step] Training: 81%|████████▏ | 56957/70000 [20:10:04<4:33:13, 1.26s/step] Training: 81%|████████▏ | 56958/70000 [20:10:05<4:37:37, 1.28s/step] Training: 81%|████████▏ | 56959/70000 [20:10:07<4:40:40, 1.29s/step] Training: 81%|████████▏ | 56960/70000 [20:10:08<4:43:34, 1.30s/step] Training: 81%|████████▏ | 56961/70000 [20:10:09<4:36:01, 1.27s/step] Training: 81%|████████▏ | 56962/70000 [20:10:10<4:34:06, 1.26s/step] Training: 81%|████████▏ | 56963/70000 [20:10:12<4:39:28, 1.29s/step] Training: 81%|████████▏ | 56964/70000 [20:10:13<4:32:57, 1.26s/step] Training: 81%|████████▏ | 56965/70000 [20:10:14<4:29:41, 1.24s/step] Training: 81%|████████▏ | 56966/70000 [20:10:15<4:35:17, 1.27s/step] Training: 81%|████████▏ | 56967/70000 [20:10:17<4:39:23, 1.29s/step] Training: 81%|████████▏ | 56968/70000 [20:10:18<4:43:07, 1.30s/step] Training: 81%|████████▏ | 56969/70000 [20:10:19<4:36:07, 1.27s/step] Training: 81%|████████▏ | 56970/70000 [20:10:21<4:32:08, 1.25s/step] Training: 81%|████████▏ | 56971/70000 [20:10:22<4:28:07, 1.23s/step] Training: 81%|████████▏ | 56972/70000 [20:10:23<4:25:24, 1.22s/step] Training: 81%|████████▏ | 56973/70000 [20:10:24<4:32:04, 1.25s/step] Training: 81%|████████▏ | 56974/70000 [20:10:25<4:28:46, 1.24s/step] Training: 81%|████████▏ | 56975/70000 [20:10:27<4:34:19, 1.26s/step] Training: 81%|████████▏ | 56976/70000 [20:10:28<4:39:23, 1.29s/step] Training: 81%|████████▏ | 56977/70000 [20:10:29<4:33:00, 1.26s/step] Training: 81%|████████▏ | 56978/70000 [20:10:31<4:37:12, 1.28s/step] Training: 81%|████████▏ | 56979/70000 [20:10:32<4:34:05, 1.26s/step] Training: 81%|████████▏ | 56980/70000 [20:10:33<4:29:32, 1.24s/step] Training: 81%|████████▏ | 56981/70000 [20:10:34<4:35:23, 1.27s/step] Training: 81%|████████▏ | 56982/70000 [20:10:36<4:39:00, 1.29s/step] Training: 81%|████████▏ | 56983/70000 [20:10:37<4:35:12, 1.27s/step] Training: 81%|████████▏ | 56984/70000 [20:10:38<4:32:50, 1.26s/step] Training: 81%|████████▏ | 56985/70000 [20:10:39<4:36:28, 1.27s/step] Training: 81%|████████▏ | 56986/70000 [20:10:41<4:40:15, 1.29s/step] Training: 81%|████████▏ | 56987/70000 [20:10:42<4:38:24, 1.28s/step] Training: 81%|████████▏ | 56988/70000 [20:10:43<4:31:42, 1.25s/step] Training: 81%|████████▏ | 56989/70000 [20:10:44<4:29:36, 1.24s/step] Training: 81%|████████▏ | 56990/70000 [20:10:46<4:34:34, 1.27s/step] Training: 81%|████████▏ | 56991/70000 [20:10:47<4:39:04, 1.29s/step] Training: 81%|████████▏ | 56992/70000 [20:10:48<4:42:21, 1.30s/step] Training: 81%|████████▏ | 56993/70000 [20:10:50<4:34:59, 1.27s/step] Training: 81%|████████▏ | 56994/70000 [20:10:51<4:32:25, 1.26s/step] Training: 81%|████████▏ | 56995/70000 [20:10:52<4:28:05, 1.24s/step] Training: 81%|████████▏ | 56996/70000 [20:10:53<4:34:59, 1.27s/step] Training: 81%|████████▏ | 56997/70000 [20:10:55<4:30:41, 1.25s/step] Training: 81%|████████▏ | 56998/70000 [20:10:56<4:36:47, 1.28s/step] Training: 81%|████████▏ | 56999/70000 [20:10:57<4:39:40, 1.29s/step] Training: 81%|████████▏ | 57000/70000 [20:10:59<4:43:04, 1.31s/step]INFO 2026-03-13 16:20:51 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.31 loss:0.008 grdn:0.733 lr:3.0e-06 updt_s:1.249 data_s:0.019 Training: 81%|████████▏ | 57001/70000 [20:11:00<4:36:10, 1.27s/step] Training: 81%|████████▏ | 57002/70000 [20:11:01<4:31:42, 1.25s/step] Training: 81%|████████▏ | 57003/70000 [20:11:02<4:27:33, 1.24s/step] Training: 81%|████████▏ | 57004/70000 [20:11:04<4:29:20, 1.24s/step] Training: 81%|████████▏ | 57005/70000 [20:11:05<4:34:45, 1.27s/step] Training: 81%|████████▏ | 57006/70000 [20:11:06<4:30:44, 1.25s/step] Training: 81%|████████▏ | 57007/70000 [20:11:07<4:36:15, 1.28s/step] Training: 81%|████████▏ | 57008/70000 [20:11:09<4:40:26, 1.30s/step] Training: 81%|████████▏ | 57009/70000 [20:11:10<4:33:32, 1.26s/step] Training: 81%|████████▏ | 57010/70000 [20:11:11<4:38:27, 1.29s/step] Training: 81%|████████▏ | 57011/70000 [20:11:12<4:32:01, 1.26s/step] Training: 81%|████████▏ | 57012/70000 [20:11:14<4:27:28, 1.24s/step] Training: 81%|████████▏ | 57013/70000 [20:11:15<4:41:07, 1.30s/step] Training: 81%|████████▏ | 57014/70000 [20:11:16<4:43:02, 1.31s/step] Training: 81%|████████▏ | 57015/70000 [20:11:18<4:37:01, 1.28s/step] Training: 81%|████████▏ | 57016/70000 [20:11:19<4:33:28, 1.26s/step] Training: 81%|████████▏ | 57017/70000 [20:11:20<4:36:41, 1.28s/step] Training: 81%|████████▏ | 57018/70000 [20:11:21<4:40:05, 1.29s/step] Training: 81%|████████▏ | 57019/70000 [20:11:23<4:33:16, 1.26s/step] Training: 81%|████████▏ | 57020/70000 [20:11:24<4:39:07, 1.29s/step] Training: 81%|████████▏ | 57021/70000 [20:11:25<4:35:00, 1.27s/step] Training: 81%|████████▏ | 57022/70000 [20:11:27<4:38:46, 1.29s/step] Training: 81%|████████▏ | 57023/70000 [20:11:28<4:41:03, 1.30s/step] Training: 81%|████████▏ | 57024/70000 [20:11:29<4:42:36, 1.31s/step] Training: 81%|████████▏ | 57025/70000 [20:11:30<4:34:51, 1.27s/step] Training: 81%|████████▏ | 57026/70000 [20:11:32<4:32:18, 1.26s/step] Training: 81%|████████▏ | 57027/70000 [20:11:33<4:27:56, 1.24s/step] Training: 81%|████████▏ | 57028/70000 [20:11:34<4:24:32, 1.22s/step] Training: 81%|████████▏ | 57029/70000 [20:11:35<4:31:50, 1.26s/step] Training: 81%|████████▏ | 57030/70000 [20:11:37<4:36:16, 1.28s/step] Training: 81%|████████▏ | 57031/70000 [20:11:38<4:40:19, 1.30s/step] Training: 81%|████████▏ | 57032/70000 [20:11:39<4:34:37, 1.27s/step] Training: 81%|████████▏ | 57033/70000 [20:11:41<4:38:41, 1.29s/step] Training: 81%|████████▏ | 57034/70000 [20:11:42<4:33:32, 1.27s/step] Training: 81%|████████▏ | 57035/70000 [20:11:43<4:28:28, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=50241 Training: 81%|████████▏ | 57036/70000 [20:11:44<4:25:10, 1.23s/step] Training: 81%|████████▏ | 57037/70000 [20:11:46<4:39:54, 1.30s/step] Training: 81%|████████▏ | 57038/70000 [20:11:47<4:34:28, 1.27s/step] Training: 81%|████████▏ | 57039/70000 [20:11:48<4:38:53, 1.29s/step] Training: 81%|████████▏ | 57040/70000 [20:11:49<4:35:15, 1.27s/step] Training: 81%|████████▏ | 57041/70000 [20:11:51<4:34:06, 1.27s/step] Training: 81%|████████▏ | 57042/70000 [20:11:52<4:38:04, 1.29s/step] Training: 81%|████████▏ | 57043/70000 [20:11:53<4:31:39, 1.26s/step] Training: 81%|████████▏ | 57044/70000 [20:11:54<4:27:09, 1.24s/step] Training: 81%|████████▏ | 57045/70000 [20:11:56<4:33:26, 1.27s/step] Training: 81%|████████▏ | 57046/70000 [20:11:57<4:38:01, 1.29s/step] Training: 81%|████████▏ | 57047/70000 [20:11:58<4:33:10, 1.27s/step] Training: 81%|████████▏ | 57048/70000 [20:11:59<4:28:27, 1.24s/step] Training: 81%|████████▏ | 57049/70000 [20:12:01<4:35:06, 1.27s/step] Training: 82%|████████▏ | 57050/70000 [20:12:02<4:39:10, 1.29s/step] Training: 82%|████████▏ | 57051/70000 [20:12:03<4:32:24, 1.26s/step] Training: 82%|████████▏ | 57052/70000 [20:12:05<4:27:44, 1.24s/step] Training: 82%|████████▏ | 57053/70000 [20:12:06<4:27:45, 1.24s/step] Training: 82%|████████▏ | 57054/70000 [20:12:07<4:34:01, 1.27s/step] Training: 82%|████████▏ | 57055/70000 [20:12:08<4:38:22, 1.29s/step] Training: 82%|████████▏ | 57056/70000 [20:12:10<4:40:48, 1.30s/step] Training: 82%|████████▏ | 57057/70000 [20:12:11<4:43:08, 1.31s/step] Training: 82%|████████▏ | 57058/70000 [20:12:12<4:37:36, 1.29s/step] Training: 82%|████████▏ | 57059/70000 [20:12:14<4:31:16, 1.26s/step] Training: 82%|████████▏ | 57060/70000 [20:12:15<4:27:06, 1.24s/step] Training: 82%|████████▏ | 57061/70000 [20:12:16<4:28:35, 1.25s/step] Training: 82%|████████▏ | 57062/70000 [20:12:17<4:33:50, 1.27s/step] Training: 82%|████████▏ | 57063/70000 [20:12:19<4:37:24, 1.29s/step] Training: 82%|████████▏ | 57064/70000 [20:12:20<4:38:47, 1.29s/step] Training: 82%|████████▏ | 57065/70000 [20:12:21<4:40:58, 1.30s/step] Training: 82%|████████▏ | 57066/70000 [20:12:22<4:35:45, 1.28s/step] Training: 82%|████████▏ | 57067/70000 [20:12:24<4:30:28, 1.25s/step] Training: 82%|████████▏ | 57068/70000 [20:12:25<4:26:17, 1.24s/step] Training: 82%|████████▏ | 57069/70000 [20:12:26<4:31:44, 1.26s/step] Training: 82%|████████▏ | 57070/70000 [20:12:28<4:37:21, 1.29s/step] Training: 82%|████████▏ | 57071/70000 [20:12:29<4:38:26, 1.29s/step] Training: 82%|████████▏ | 57072/70000 [20:12:30<4:39:39, 1.30s/step] Training: 82%|████████▏ | 57073/70000 [20:12:31<4:41:43, 1.31s/step] Training: 82%|████████▏ | 57074/70000 [20:12:33<4:42:42, 1.31s/step] Training: 82%|████████▏ | 57075/70000 [20:12:34<4:35:12, 1.28s/step] Training: 82%|████████▏ | 57076/70000 [20:12:35<4:29:50, 1.25s/step] Training: 82%|████████▏ | 57077/70000 [20:12:37<4:34:20, 1.27s/step] Training: 82%|████████▏ | 57078/70000 [20:12:38<4:43:06, 1.31s/step] Training: 82%|████████▏ | 57079/70000 [20:12:39<4:35:36, 1.28s/step] Training: 82%|████████▏ | 57080/70000 [20:12:40<4:29:34, 1.25s/step] Training: 82%|████████▏ | 57081/70000 [20:12:42<4:35:19, 1.28s/step] Training: 82%|████████▏ | 57082/70000 [20:12:43<4:38:28, 1.29s/step] Training: 82%|████████▏ | 57083/70000 [20:12:44<4:31:53, 1.26s/step] Training: 82%|████████▏ | 57084/70000 [20:12:45<4:27:16, 1.24s/step] Training: 82%|████████▏ | 57085/70000 [20:12:47<4:26:54, 1.24s/step] Training: 82%|████████▏ | 57086/70000 [20:12:48<4:32:16, 1.27s/step] Training: 82%|████████▏ | 57087/70000 [20:12:49<4:36:43, 1.29s/step] Training: 82%|████████▏ | 57088/70000 [20:12:51<4:40:04, 1.30s/step] Training: 82%|████████▏ | 57089/70000 [20:12:52<4:41:41, 1.31s/step] Training: 82%|████████▏ | 57090/70000 [20:12:53<4:36:22, 1.28s/step] Training: 82%|████████▏ | 57091/70000 [20:12:54<4:30:25, 1.26s/step] Training: 82%|████████▏ | 57092/70000 [20:12:56<4:26:07, 1.24s/step] Training: 82%|████████▏ | 57093/70000 [20:12:57<4:24:44, 1.23s/step] Training: 82%|████████▏ | 57094/70000 [20:12:58<4:35:04, 1.28s/step] Training: 82%|████████▏ | 57095/70000 [20:12:59<4:28:40, 1.25s/step] Training: 82%|████████▏ | 57096/70000 [20:13:01<4:28:29, 1.25s/step] Training: 82%|████████▏ | 57097/70000 [20:13:02<4:34:04, 1.27s/step] Training: 82%|████████▏ | 57098/70000 [20:13:03<4:31:15, 1.26s/step] Training: 82%|████████▏ | 57099/70000 [20:13:04<4:26:37, 1.24s/step] Training: 82%|████████▏ | 57100/70000 [20:13:06<4:23:31, 1.23s/step]INFO 2026-03-13 16:22:58 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.40 loss:0.008 grdn:0.732 lr:3.0e-06 updt_s:1.248 data_s:0.019 Training: 82%|████████▏ | 57101/70000 [20:13:07<4:30:24, 1.26s/step] Training: 82%|████████▏ | 57102/70000 [20:13:08<4:27:32, 1.24s/step] Training: 82%|████████▏ | 57103/70000 [20:13:09<4:33:32, 1.27s/step] Training: 82%|████████▏ | 57104/70000 [20:13:11<4:31:13, 1.26s/step] Training: 82%|████████▏ | 57105/70000 [20:13:12<4:40:10, 1.30s/step] Training: 82%|████████▏ | 57106/70000 [20:13:13<4:33:13, 1.27s/step] Training: 82%|████████▏ | 57107/70000 [20:13:15<4:36:35, 1.29s/step] Training: 82%|████████▏ | 57108/70000 [20:13:16<4:30:46, 1.26s/step] Training: 82%|████████▏ | 57109/70000 [20:13:17<4:35:50, 1.28s/step] Training: 82%|████████▏ | 57110/70000 [20:13:18<4:39:04, 1.30s/step] Training: 82%|████████▏ | 57111/70000 [20:13:20<4:42:06, 1.31s/step] Training: 82%|████████▏ | 57112/70000 [20:13:21<4:33:23, 1.27s/step] Training: 82%|████████▏ | 57113/70000 [20:13:22<4:38:09, 1.30s/step] Training: 82%|████████▏ | 57114/70000 [20:13:24<4:40:43, 1.31s/step] Training: 82%|████████▏ | 57115/70000 [20:13:25<4:32:53, 1.27s/step] Training: 82%|████████▏ | 57116/70000 [20:13:26<4:27:47, 1.25s/step] Training: 82%|████████▏ | 57117/70000 [20:13:27<4:26:34, 1.24s/step] Training: 82%|████████▏ | 57118/70000 [20:13:29<4:31:14, 1.26s/step] Training: 82%|████████▏ | 57119/70000 [20:13:30<4:34:59, 1.28s/step] Training: 82%|████████▏ | 57120/70000 [20:13:31<4:38:55, 1.30s/step] Training: 82%|████████▏ | 57121/70000 [20:13:33<4:40:19, 1.31s/step] Training: 82%|████████▏ | 57122/70000 [20:13:34<4:33:39, 1.28s/step] Training: 82%|████████▏ | 57123/70000 [20:13:35<4:28:02, 1.25s/step] Training: 82%|████████▏ | 57124/70000 [20:13:36<4:24:10, 1.23s/step] Training: 82%|████████▏ | 57125/70000 [20:13:37<4:22:27, 1.22s/step] Training: 82%|████████▏ | 57126/70000 [20:13:39<4:29:48, 1.26s/step] Training: 82%|████████▏ | 57127/70000 [20:13:40<4:33:31, 1.27s/step] Training: 82%|████████▏ | 57128/70000 [20:13:41<4:31:46, 1.27s/step] Training: 82%|████████▏ | 57129/70000 [20:13:43<4:35:30, 1.28s/step] Training: 82%|████████▏ | 57130/70000 [20:13:44<4:38:45, 1.30s/step] Training: 82%|████████▏ | 57131/70000 [20:13:45<4:31:36, 1.27s/step] Training: 82%|████████▏ | 57132/70000 [20:13:46<4:26:38, 1.24s/step] Training: 82%|████████▏ | 57133/70000 [20:13:48<4:32:06, 1.27s/step] Training: 82%|████████▏ | 57134/70000 [20:13:49<4:28:49, 1.25s/step] Training: 82%|████████▏ | 57135/70000 [20:13:50<4:30:09, 1.26s/step] Training: 82%|████████▏ | 57136/70000 [20:13:51<4:27:57, 1.25s/step] Training: 82%|████████▏ | 57137/70000 [20:13:53<4:39:26, 1.30s/step] Training: 82%|████████▏ | 57138/70000 [20:13:54<4:32:53, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=15919 Training: 82%|████████▏ | 57139/70000 [20:13:55<4:27:31, 1.25s/step] Training: 82%|████████▏ | 57140/70000 [20:13:56<4:24:01, 1.23s/step] Training: 82%|████████▏ | 57141/70000 [20:13:58<4:30:07, 1.26s/step] Training: 82%|████████▏ | 57142/70000 [20:13:59<4:34:04, 1.28s/step] Training: 82%|████████▏ | 57143/70000 [20:14:00<4:35:55, 1.29s/step] Training: 82%|████████▏ | 57144/70000 [20:14:02<4:45:54, 1.33s/step] Training: 82%|████████▏ | 57145/70000 [20:14:03<4:38:37, 1.30s/step] Training: 82%|████████▏ | 57146/70000 [20:14:04<4:40:27, 1.31s/step] Training: 82%|████████▏ | 57147/70000 [20:14:05<4:32:39, 1.27s/step] Training: 82%|████████▏ | 57148/70000 [20:14:07<4:27:10, 1.25s/step] Training: 82%|████████▏ | 57149/70000 [20:14:08<4:25:59, 1.24s/step] Training: 82%|████████▏ | 57150/70000 [20:14:09<4:31:02, 1.27s/step] Training: 82%|████████▏ | 57151/70000 [20:14:11<4:35:46, 1.29s/step] Training: 82%|████████▏ | 57152/70000 [20:14:12<4:33:35, 1.28s/step] Training: 82%|████████▏ | 57153/70000 [20:14:13<4:37:16, 1.29s/step] Training: 82%|████████▏ | 57154/70000 [20:14:14<4:39:08, 1.30s/step] Training: 82%|████████▏ | 57155/70000 [20:14:16<4:31:46, 1.27s/step] Training: 82%|████████▏ | 57156/70000 [20:14:17<4:26:47, 1.25s/step] Training: 82%|████████▏ | 57157/70000 [20:14:18<4:23:50, 1.23s/step] Training: 82%|████████▏ | 57158/70000 [20:14:19<4:29:41, 1.26s/step] Training: 82%|████████▏ | 57159/70000 [20:14:21<4:26:55, 1.25s/step] Training: 82%|████████▏ | 57160/70000 [20:14:22<4:28:35, 1.26s/step] Training: 82%|████████▏ | 57161/70000 [20:14:23<4:41:31, 1.32s/step] Training: 82%|████████▏ | 57162/70000 [20:14:25<4:42:22, 1.32s/step] Training: 82%|████████▏ | 57163/70000 [20:14:26<4:33:51, 1.28s/step] Training: 82%|████████▏ | 57164/70000 [20:14:27<4:27:43, 1.25s/step] Training: 82%|████████▏ | 57165/70000 [20:14:28<4:32:31, 1.27s/step] Training: 82%|████████▏ | 57166/70000 [20:14:30<4:28:19, 1.25s/step] Training: 82%|████████▏ | 57167/70000 [20:14:31<4:33:35, 1.28s/step] Training: 82%|████████▏ | 57168/70000 [20:14:32<4:38:45, 1.30s/step] Training: 82%|████████▏ | 57169/70000 [20:14:34<4:39:33, 1.31s/step] Training: 82%|████████▏ | 57170/70000 [20:14:35<4:33:13, 1.28s/step] Training: 82%|████████▏ | 57171/70000 [20:14:36<4:27:39, 1.25s/step] Training: 82%|████████▏ | 57172/70000 [20:14:37<4:23:48, 1.23s/step] Training: 82%|████████▏ | 57173/70000 [20:14:38<4:30:25, 1.26s/step] Training: 82%|████████▏ | 57174/70000 [20:14:40<4:35:03, 1.29s/step] Training: 82%|████████▏ | 57175/70000 [20:14:41<4:38:08, 1.30s/step] Training: 82%|████████▏ | 57176/70000 [20:14:42<4:40:07, 1.31s/step] Training: 82%|████████▏ | 57177/70000 [20:14:44<4:41:38, 1.32s/step] Training: 82%|████████▏ | 57178/70000 [20:14:45<4:41:13, 1.32s/step] Training: 82%|████████▏ | 57179/70000 [20:14:46<4:33:02, 1.28s/step] Training: 82%|████████▏ | 57180/70000 [20:14:48<4:27:30, 1.25s/step] Training: 82%|████████▏ | 57181/70000 [20:14:49<4:26:18, 1.25s/step] Training: 82%|████████▏ | 57182/70000 [20:14:50<4:31:31, 1.27s/step] Training: 82%|████████▏ | 57183/70000 [20:14:51<4:29:01, 1.26s/step] Training: 82%|████████▏ | 57184/70000 [20:14:53<4:34:43, 1.29s/step] Training: 82%|████████▏ | 57185/70000 [20:14:54<4:46:01, 1.34s/step] Training: 82%|████████▏ | 57186/70000 [20:14:55<4:45:20, 1.34s/step] Training: 82%|████████▏ | 57187/70000 [20:14:57<4:35:58, 1.29s/step] Training: 82%|████████▏ | 57188/70000 [20:14:58<4:29:11, 1.26s/step] Training: 82%|████████▏ | 57189/70000 [20:14:59<4:26:00, 1.25s/step] Training: 82%|████████▏ | 57190/70000 [20:15:00<4:31:05, 1.27s/step] Training: 82%|████████▏ | 57191/70000 [20:15:02<4:27:20, 1.25s/step] Training: 82%|████████▏ | 57192/70000 [20:15:03<4:27:51, 1.25s/step] Training: 82%|████████▏ | 57193/70000 [20:15:04<4:32:56, 1.28s/step] Training: 82%|████████▏ | 57194/70000 [20:15:06<4:36:31, 1.30s/step] Training: 82%|████████▏ | 57195/70000 [20:15:07<4:30:15, 1.27s/step] Training: 82%|████████▏ | 57196/70000 [20:15:08<4:25:00, 1.24s/step] Training: 82%|████████▏ | 57197/70000 [20:15:09<4:30:55, 1.27s/step] Training: 82%|████████▏ | 57198/70000 [20:15:10<4:27:29, 1.25s/step] Training: 82%|████████▏ | 57199/70000 [20:15:12<4:32:23, 1.28s/step] Training: 82%|████████▏ | 57200/70000 [20:15:13<4:28:34, 1.26s/step]INFO 2026-03-13 16:25:05 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.48 loss:0.008 grdn:0.613 lr:2.9e-06 updt_s:1.254 data_s:0.019 Training: 82%|████████▏ | 57201/70000 [20:15:14<4:30:10, 1.27s/step] Training: 82%|████████▏ | 57202/70000 [20:15:15<4:26:53, 1.25s/step] Training: 82%|████████▏ | 57203/70000 [20:15:17<4:23:08, 1.23s/step] Training: 82%|████████▏ | 57204/70000 [20:15:18<4:20:17, 1.22s/step] Training: 82%|████████▏ | 57205/70000 [20:15:19<4:18:26, 1.21s/step] Training: 82%|████████▏ | 57206/70000 [20:15:20<4:30:57, 1.27s/step] Training: 82%|████████▏ | 57207/70000 [20:15:22<4:34:35, 1.29s/step] Training: 82%|████████▏ | 57208/70000 [20:15:23<4:37:13, 1.30s/step] Training: 82%|████████▏ | 57209/70000 [20:15:24<4:33:43, 1.28s/step] Training: 82%|████████▏ | 57210/70000 [20:15:26<4:35:50, 1.29s/step] Training: 82%|████████▏ | 57211/70000 [20:15:27<4:28:57, 1.26s/step] Training: 82%|████████▏ | 57212/70000 [20:15:28<4:24:30, 1.24s/step] Training: 82%|████████▏ | 57213/70000 [20:15:29<4:21:01, 1.22s/step] Training: 82%|████████▏ | 57214/70000 [20:15:31<4:34:15, 1.29s/step] Training: 82%|████████▏ | 57215/70000 [20:15:32<4:29:57, 1.27s/step] Training: 82%|████████▏ | 57216/70000 [20:15:33<4:33:42, 1.28s/step] Training: 82%|████████▏ | 57217/70000 [20:15:35<4:37:16, 1.30s/step] Training: 82%|████████▏ | 57218/70000 [20:15:36<4:43:25, 1.33s/step] Training: 82%|████████▏ | 57219/70000 [20:15:37<4:34:10, 1.29s/step] Training: 82%|████████▏ | 57220/70000 [20:15:38<4:27:49, 1.26s/step] Training: 82%|████████▏ | 57221/70000 [20:15:40<4:23:22, 1.24s/step] Training: 82%|████████▏ | 57222/70000 [20:15:41<4:28:46, 1.26s/step] Training: 82%|████████▏ | 57223/70000 [20:15:42<4:25:13, 1.25s/step] Training: 82%|████████▏ | 57224/70000 [20:15:43<4:26:27, 1.25s/step] Training: 82%|████████▏ | 57225/70000 [20:15:45<4:31:18, 1.27s/step] Training: 82%|████████▏ | 57226/70000 [20:15:46<4:39:59, 1.32s/step] Training: 82%|████████▏ | 57227/70000 [20:15:47<4:31:51, 1.28s/step] Training: 82%|████████▏ | 57228/70000 [20:15:48<4:26:08, 1.25s/step] Training: 82%|████████▏ | 57229/70000 [20:15:50<4:22:17, 1.23s/step] Training: 82%|████████▏ | 57230/70000 [20:15:51<4:26:51, 1.25s/step] Training: 82%|████████▏ | 57231/70000 [20:15:52<4:31:12, 1.27s/step] Training: 82%|████████▏ | 57232/70000 [20:15:53<4:27:01, 1.25s/step] Training: 82%|████████▏ | 57233/70000 [20:15:55<4:29:57, 1.27s/step] Training: 82%|████████▏ | 57234/70000 [20:15:56<4:36:05, 1.30s/step] Training: 82%|████████▏ | 57235/70000 [20:15:57<4:28:21, 1.26s/step] Training: 82%|████████▏ | 57236/70000 [20:15:59<4:23:41, 1.24s/step] Training: 82%|████████▏ | 57237/70000 [20:16:00<4:20:17, 1.22s/step] Training: 82%|████████▏ | 57238/70000 [20:16:01<4:26:50, 1.25s/step] Training: 82%|████████▏ | 57239/70000 [20:16:02<4:34:02, 1.29s/step] Training: 82%|████████▏ | 57240/70000 [20:16:04<4:36:37, 1.30s/step] Training: 82%|████████▏ | 57241/70000 [20:16:05<4:31:24, 1.28s/step] Training: 82%|████████▏ | 57242/70000 [20:16:06<4:36:39, 1.30s/step] Training: 82%|████████▏ | 57243/70000 [20:16:07<4:29:01, 1.27s/step] Training: 82%|████████▏ | 57244/70000 [20:16:09<4:24:05, 1.24s/step] Training: 82%|████████▏ | 57245/70000 [20:16:10<4:20:35, 1.23s/step] Training: 82%|████████▏ | 57246/70000 [20:16:11<4:26:42, 1.25s/step] Training: 82%|████████▏ | 57247/70000 [20:16:12<4:25:41, 1.25s/step] Training: 82%|████████▏ | 57248/70000 [20:16:14<4:24:41, 1.25s/step] Training: 82%|████████▏ | 57249/70000 [20:16:15<4:37:19, 1.30s/step] Training: 82%|████████▏ | 57250/70000 [20:16:16<4:38:50, 1.31s/step] Training: 82%|████████▏ | 57251/70000 [20:16:18<4:41:07, 1.32s/step] Training: 82%|████████▏ | 57252/70000 [20:16:19<4:32:19, 1.28s/step] Training: 82%|████████▏ | 57253/70000 [20:16:20<4:26:20, 1.25s/step] Training: 82%|████████▏ | 57254/70000 [20:16:21<4:30:59, 1.28s/step] Training: 82%|████████▏ | 57255/70000 [20:16:23<4:27:21, 1.26s/step] Training: 82%|████████▏ | 57256/70000 [20:16:24<4:24:27, 1.25s/step] Training: 82%|████████▏ | 57257/70000 [20:16:25<4:37:55, 1.31s/step] Training: 82%|████████▏ | 57258/70000 [20:16:27<4:38:55, 1.31s/step] Training: 82%|████████▏ | 57259/70000 [20:16:28<4:41:47, 1.33s/step] Training: 82%|████████▏ | 57260/70000 [20:16:29<4:32:23, 1.28s/step] Training: 82%|████████▏ | 57261/70000 [20:16:30<4:26:14, 1.25s/step] Training: 82%|████████▏ | 57262/70000 [20:16:32<4:31:15, 1.28s/step] Training: 82%|████████▏ | 57263/70000 [20:16:33<4:34:25, 1.29s/step] Training: 82%|████████▏ | 57264/70000 [20:16:34<4:37:10, 1.31s/step] Training: 82%|████████▏ | 57265/70000 [20:16:36<4:32:04, 1.28s/step] Training: 82%|████████▏ | 57266/70000 [20:16:37<4:27:26, 1.26s/step] Training: 82%|████████▏ | 57267/70000 [20:16:38<4:25:13, 1.25s/step] Training: 82%|████████▏ | 57268/70000 [20:16:39<4:21:22, 1.23s/step] Training: 82%|████████▏ | 57269/70000 [20:16:40<4:18:37, 1.22s/step] Training: 82%|████████▏ | 57270/70000 [20:16:42<4:26:03, 1.25s/step] Training: 82%|████████▏ | 57271/70000 [20:16:43<4:31:20, 1.28s/step] Training: 82%|████████▏ | 57272/70000 [20:16:44<4:34:27, 1.29s/step] Training: 82%|████████▏ | 57273/70000 [20:16:46<4:35:56, 1.30s/step] Training: 82%|████████▏ | 57274/70000 [20:16:47<4:37:36, 1.31s/step] Training: 82%|████████▏ | 57275/70000 [20:16:48<4:33:46, 1.29s/step] Training: 82%|████████▏ | 57276/70000 [20:16:50<4:26:40, 1.26s/step] Training: 82%|████████▏ | 57277/70000 [20:16:51<4:22:16, 1.24s/step] Training: 82%|████████▏ | 57278/70000 [20:16:52<4:27:59, 1.26s/step] Training: 82%|████████▏ | 57279/70000 [20:16:53<4:25:47, 1.25s/step] Training: 82%|████████▏ | 57280/70000 [20:16:54<4:24:17, 1.25s/step] Training: 82%|████████▏ | 57281/70000 [20:16:56<4:29:30, 1.27s/step] Training: 82%|████████▏ | 57282/70000 [20:16:57<4:32:36, 1.29s/step] Training: 82%|████████▏ | 57283/70000 [20:16:58<4:26:26, 1.26s/step] Training: 82%|████████▏ | 57284/70000 [20:17:00<4:31:56, 1.28s/step] Training: 82%|████████▏ | 57285/70000 [20:17:01<4:25:19, 1.25s/step] Training: 82%|████████▏ | 57286/70000 [20:17:02<4:30:56, 1.28s/step] Training: 82%|████████▏ | 57287/70000 [20:17:03<4:26:49, 1.26s/step] Training: 82%|████████▏ | 57288/70000 [20:17:05<4:24:47, 1.25s/step] Training: 82%|████████▏ | 57289/70000 [20:17:06<4:30:33, 1.28s/step] Training: 82%|████████▏ | 57290/70000 [20:17:07<4:34:19, 1.29s/step] Training: 82%|████████▏ | 57291/70000 [20:17:09<4:27:41, 1.26s/step] Training: 82%|████████▏ | 57292/70000 [20:17:10<4:28:37, 1.27s/step] Training: 82%|████████▏ | 57293/70000 [20:17:11<4:23:23, 1.24s/step] Training: 82%|████████▏ | 57294/70000 [20:17:12<4:28:41, 1.27s/step] Training: 82%|████████▏ | 57295/70000 [20:17:14<4:33:34, 1.29s/step] Training: 82%|████████▏ | 57296/70000 [20:17:15<4:36:10, 1.30s/step] Training: 82%|████████▏ | 57297/70000 [20:17:16<4:39:57, 1.32s/step] Training: 82%|████████▏ | 57298/70000 [20:17:18<4:32:52, 1.29s/step] Training: 82%|████████▏ | 57299/70000 [20:17:19<4:26:33, 1.26s/step] Training: 82%|████████▏ | 57300/70000 [20:17:20<4:22:03, 1.24s/step]INFO 2026-03-13 16:27:12 ot_train.py:435 step:57K smpl:4M ep:12K epch:48.57 loss:0.008 grdn:0.656 lr:2.9e-06 updt_s:1.248 data_s:0.019 Training: 82%|████████▏ | 57301/70000 [20:17:21<4:28:38, 1.27s/step] Training: 82%|████████▏ | 57302/70000 [20:17:23<4:31:52, 1.28s/step] Training: 82%|████████▏ | 57303/70000 [20:17:24<4:34:29, 1.30s/step] Training: 82%|████████▏ | 57304/70000 [20:17:25<4:36:14, 1.31s/step] Training: 82%|████████▏ | 57305/70000 [20:17:27<4:37:36, 1.31s/step] Training: 82%|████████▏ | 57306/70000 [20:17:28<4:38:42, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=15068 Training: 82%|████████▏ | 57307/70000 [20:17:29<4:30:28, 1.28s/step] Training: 82%|████████▏ | 57308/70000 [20:17:30<4:35:55, 1.30s/step] Training: 82%|████████▏ | 57309/70000 [20:17:32<4:28:08, 1.27s/step] Training: 82%|████████▏ | 57310/70000 [20:17:33<4:31:27, 1.28s/step] Training: 82%|████████▏ | 57311/70000 [20:17:34<4:29:41, 1.28s/step] Training: 82%|████████▏ | 57312/70000 [20:17:35<4:26:30, 1.26s/step] Training: 82%|████████▏ | 57313/70000 [20:17:37<4:30:48, 1.28s/step] Training: 82%|████████▏ | 57314/70000 [20:17:38<4:33:36, 1.29s/step] Training: 82%|████████▏ | 57315/70000 [20:17:39<4:27:13, 1.26s/step] Training: 82%|████████▏ | 57316/70000 [20:17:40<4:22:26, 1.24s/step] Training: 82%|████████▏ | 57317/70000 [20:17:42<4:29:09, 1.27s/step] Training: 82%|████████▏ | 57318/70000 [20:17:43<4:32:50, 1.29s/step] Training: 82%|████████▏ | 57319/70000 [20:17:44<4:27:12, 1.26s/step] Training: 82%|████████▏ | 57320/70000 [20:17:46<4:23:41, 1.25s/step] Training: 82%|████████▏ | 57321/70000 [20:17:47<4:28:35, 1.27s/step] Training: 82%|████████▏ | 57322/70000 [20:17:48<4:32:06, 1.29s/step] Training: 82%|████████▏ | 57323/70000 [20:17:49<4:25:50, 1.26s/step] Training: 82%|████████▏ | 57324/70000 [20:17:51<4:21:26, 1.24s/step] Training: 82%|████████▏ | 57325/70000 [20:17:52<4:28:39, 1.27s/step] Training: 82%|████████▏ | 57326/70000 [20:17:53<4:31:20, 1.28s/step] Training: 82%|████████▏ | 57327/70000 [20:17:55<4:34:53, 1.30s/step] Training: 82%|████████▏ | 57328/70000 [20:17:56<4:36:48, 1.31s/step] Training: 82%|████████▏ | 57329/70000 [20:17:57<4:41:12, 1.33s/step] Training: 82%|████████▏ | 57330/70000 [20:17:59<4:32:52, 1.29s/step] Training: 82%|████████▏ | 57331/70000 [20:18:00<4:26:39, 1.26s/step] Training: 82%|████████▏ | 57332/70000 [20:18:01<4:21:38, 1.24s/step] Training: 82%|████████▏ | 57333/70000 [20:18:02<4:18:32, 1.22s/step] Training: 82%|████████▏ | 57334/70000 [20:18:03<4:25:14, 1.26s/step] Training: 82%|████████▏ | 57335/70000 [20:18:05<4:29:46, 1.28s/step] Training: 82%|████████▏ | 57336/70000 [20:18:06<4:32:08, 1.29s/step] Training: 82%|████████▏ | 57337/70000 [20:18:07<4:33:56, 1.30s/step] Training: 82%|████████▏ | 57338/70000 [20:18:09<4:36:11, 1.31s/step] Training: 82%|████████▏ | 57339/70000 [20:18:10<4:28:41, 1.27s/step] Training: 82%|████████▏ | 57340/70000 [20:18:11<4:23:34, 1.25s/step] Training: 82%|████████▏ | 57341/70000 [20:18:12<4:23:05, 1.25s/step] Training: 82%|████████▏ | 57342/70000 [20:18:14<4:28:59, 1.28s/step] Training: 82%|████████▏ | 57343/70000 [20:18:15<4:25:44, 1.26s/step] Training: 82%|████████▏ | 57344/70000 [20:18:16<4:23:59, 1.25s/step] Training: 82%|████████▏ | 57345/70000 [20:18:17<4:28:31, 1.27s/step] Training: 82%|████████▏ | 57346/70000 [20:18:19<4:32:16, 1.29s/step] Training: 82%|████████▏ | 57347/70000 [20:18:20<4:25:48, 1.26s/step] Training: 82%|████████▏ | 57348/70000 [20:18:21<4:21:28, 1.24s/step] Training: 82%|████████▏ | 57349/70000 [20:18:22<4:22:07, 1.24s/step] Training: 82%|████████▏ | 57350/70000 [20:18:24<4:27:11, 1.27s/step] Training: 82%|████████▏ | 57351/70000 [20:18:25<4:23:27, 1.25s/step] Training: 82%|████████▏ | 57352/70000 [20:18:26<4:20:52, 1.24s/step] Training: 82%|████████▏ | 57353/70000 [20:18:27<4:26:28, 1.26s/step] Training: 82%|████████▏ | 57354/70000 [20:18:29<4:30:49, 1.28s/step] Training: 82%|████████▏ | 57355/70000 [20:18:30<4:25:04, 1.26s/step] Training: 82%|████████▏ | 57356/70000 [20:18:31<4:21:00, 1.24s/step] Training: 82%|████████▏ | 57357/70000 [20:18:32<4:18:01, 1.22s/step] Training: 82%|████████▏ | 57358/70000 [20:18:34<4:32:06, 1.29s/step] Training: 82%|████████▏ | 57359/70000 [20:18:35<4:34:49, 1.30s/step] Training: 82%|████████▏ | 57360/70000 [20:18:37<4:36:28, 1.31s/step] Training: 82%|████████▏ | 57361/70000 [20:18:38<4:40:11, 1.33s/step] Training: 82%|████████▏ | 57362/70000 [20:18:39<4:32:39, 1.29s/step] Training: 82%|████████▏ | 57363/70000 [20:18:40<4:26:11, 1.26s/step] Training: 82%|████████▏ | 57364/70000 [20:18:41<4:22:02, 1.24s/step] Training: 82%|████████▏ | 57365/70000 [20:18:43<4:18:18, 1.23s/step] Training: 82%|████████▏ | 57366/70000 [20:18:44<4:31:01, 1.29s/step] Training: 82%|████████▏ | 57367/70000 [20:18:45<4:33:58, 1.30s/step] Training: 82%|████████▏ | 57368/70000 [20:18:47<4:36:17, 1.31s/step] Training: 82%|████████▏ | 57369/70000 [20:18:48<4:37:17, 1.32s/step] Training: 82%|████████▏ | 57370/70000 [20:18:49<4:37:22, 1.32s/step] Training: 82%|████████▏ | 57371/70000 [20:18:51<4:29:15, 1.28s/step] Training: 82%|████████▏ | 57372/70000 [20:18:52<4:23:32, 1.25s/step] Training: 82%|████████▏ | 57373/70000 [20:18:53<4:19:38, 1.23s/step] Training: 82%|████████▏ | 57374/70000 [20:18:54<4:28:09, 1.27s/step] Training: 82%|████████▏ | 57375/70000 [20:18:56<4:22:30, 1.25s/step] Training: 82%|████████▏ | 57376/70000 [20:18:57<4:21:23, 1.24s/step] Training: 82%|████████▏ | 57377/70000 [20:18:58<4:28:01, 1.27s/step] Training: 82%|████████▏ | 57378/70000 [20:18:59<4:31:33, 1.29s/step] Training: 82%|████████▏ | 57379/70000 [20:19:01<4:25:03, 1.26s/step] Training: 82%|████████▏ | 57380/70000 [20:19:02<4:20:47, 1.24s/step] Training: 82%|████████▏ | 57381/70000 [20:19:03<4:17:43, 1.23s/step] Training: 82%|████████▏ | 57382/70000 [20:19:04<4:25:52, 1.26s/step] Training: 82%|████████▏ | 57383/70000 [20:19:06<4:22:59, 1.25s/step] Training: 82%|████████▏ | 57384/70000 [20:19:07<4:20:28, 1.24s/step] Training: 82%|████████▏ | 57385/70000 [20:19:08<4:27:18, 1.27s/step] Training: 82%|████████▏ | 57386/70000 [20:19:09<4:31:06, 1.29s/step] Training: 82%|████████▏ | 57387/70000 [20:19:11<4:24:42, 1.26s/step] Training: 82%|████████▏ | 57388/70000 [20:19:12<4:20:09, 1.24s/step] Training: 82%|████████▏ | 57389/70000 [20:19:13<4:17:12, 1.22s/step] Training: 82%|████████▏ | 57390/70000 [20:19:14<4:23:59, 1.26s/step] Training: 82%|████████▏ | 57391/70000 [20:19:16<4:36:45, 1.32s/step] Training: 82%|████████▏ | 57392/70000 [20:19:17<4:38:15, 1.32s/step] Training: 82%|████████▏ | 57393/70000 [20:19:19<4:43:01, 1.35s/step] Training: 82%|████████▏ | 57394/70000 [20:19:20<4:34:20, 1.31s/step] Training: 82%|████████▏ | 57395/70000 [20:19:21<4:27:21, 1.27s/step] Training: 82%|████████▏ | 57396/70000 [20:19:22<4:22:13, 1.25s/step] Training: 82%|████████▏ | 57397/70000 [20:19:23<4:18:37, 1.23s/step] Training: 82%|████████▏ | 57398/70000 [20:19:25<4:25:11, 1.26s/step] Training: 82%|████████▏ | 57399/70000 [20:19:26<4:36:26, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=50241 Training: 82%|████████▏ | 57400/70000 [20:19:27<4:37:23, 1.32s/step]INFO 2026-03-13 16:29:20 ot_train.py:435 step:57K smpl:4M ep:13K epch:48.65 loss:0.007 grdn:0.621 lr:2.9e-06 updt_s:1.255 data_s:0.019 Training: 82%|████████▏ | 57401/70000 [20:19:29<4:38:08, 1.32s/step] Training: 82%|████████▏ | 57402/70000 [20:19:30<4:38:56, 1.33s/step] Training: 82%|████████▏ | 57403/70000 [20:19:31<4:30:38, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=50241 Training: 82%|████████▏ | 57404/70000 [20:19:33<4:24:56, 1.26s/step] Training: 82%|████████▏ | 57405/70000 [20:19:34<4:21:04, 1.24s/step] Training: 82%|████████▏ | 57406/70000 [20:19:35<4:26:02, 1.27s/step] Training: 82%|████████▏ | 57407/70000 [20:19:36<4:24:09, 1.26s/step] Training: 82%|████████▏ | 57408/70000 [20:19:38<4:22:27, 1.25s/step] Training: 82%|████████▏ | 57409/70000 [20:19:39<4:28:14, 1.28s/step] Training: 82%|████████▏ | 57410/70000 [20:19:40<4:31:35, 1.29s/step] Training: 82%|████████▏ | 57411/70000 [20:19:41<4:25:00, 1.26s/step] Training: 82%|████████▏ | 57412/70000 [20:19:43<4:20:32, 1.24s/step] Training: 82%|████████▏ | 57413/70000 [20:19:44<4:17:29, 1.23s/step] Training: 82%|████████▏ | 57414/70000 [20:19:45<4:25:08, 1.26s/step] Training: 82%|████████▏ | 57415/70000 [20:19:46<4:25:24, 1.27s/step] Training: 82%|████████▏ | 57416/70000 [20:19:48<4:21:31, 1.25s/step] Training: 82%|████████▏ | 57417/70000 [20:19:49<4:26:47, 1.27s/step] Training: 82%|████████▏ | 57418/70000 [20:19:50<4:30:25, 1.29s/step] Training: 82%|████████▏ | 57419/70000 [20:19:51<4:24:29, 1.26s/step] Training: 82%|████████▏ | 57420/70000 [20:19:53<4:19:54, 1.24s/step] Training: 82%|████████▏ | 57421/70000 [20:19:54<4:17:08, 1.23s/step] Training: 82%|████████▏ | 57422/70000 [20:19:55<4:23:50, 1.26s/step] Training: 82%|████████▏ | 57423/70000 [20:19:56<4:19:36, 1.24s/step] Training: 82%|████████▏ | 57424/70000 [20:19:58<4:30:10, 1.29s/step] Training: 82%|████████▏ | 57425/70000 [20:19:59<4:36:26, 1.32s/step] Training: 82%|████████▏ | 57426/70000 [20:20:00<4:29:42, 1.29s/step] Training: 82%|████████▏ | 57427/70000 [20:20:02<4:23:28, 1.26s/step] Training: 82%|████████▏ | 57428/70000 [20:20:03<4:19:00, 1.24s/step] Training: 82%|████████▏ | 57429/70000 [20:20:04<4:16:22, 1.22s/step] Training: 82%|████████▏ | 57430/70000 [20:20:05<4:23:39, 1.26s/step] Training: 82%|████████▏ | 57431/70000 [20:20:07<4:28:35, 1.28s/step] Training: 82%|████████▏ | 57432/70000 [20:20:08<4:36:31, 1.32s/step] Training: 82%|████████▏ | 57433/70000 [20:20:09<4:36:39, 1.32s/step] Training: 82%|████████▏ | 57434/70000 [20:20:11<4:38:17, 1.33s/step] Training: 82%|████████▏ | 57435/70000 [20:20:12<4:30:37, 1.29s/step] Training: 82%|████████▏ | 57436/70000 [20:20:13<4:24:06, 1.26s/step] Training: 82%|████████▏ | 57437/70000 [20:20:14<4:19:37, 1.24s/step] Training: 82%|████████▏ | 57438/70000 [20:20:16<4:25:05, 1.27s/step] Training: 82%|████████▏ | 57439/70000 [20:20:17<4:21:25, 1.25s/step] Training: 82%|████████▏ | 57440/70000 [20:20:18<4:19:56, 1.24s/step] Training: 82%|████████▏ | 57441/70000 [20:20:20<4:33:58, 1.31s/step] Training: 82%|████████▏ | 57442/70000 [20:20:21<4:34:44, 1.31s/step] Training: 82%|████████▏ | 57443/70000 [20:20:22<4:27:02, 1.28s/step] Training: 82%|████████▏ | 57444/70000 [20:20:23<4:21:37, 1.25s/step] Training: 82%|████████▏ | 57445/70000 [20:20:24<4:17:53, 1.23s/step] Training: 82%|████████▏ | 57446/70000 [20:20:26<4:23:42, 1.26s/step] Training: 82%|████████▏ | 57447/70000 [20:20:27<4:22:11, 1.25s/step] Training: 82%|████████▏ | 57448/70000 [20:20:28<4:28:57, 1.29s/step] Training: 82%|████████▏ | 57449/70000 [20:20:30<4:31:29, 1.30s/step] Training: 82%|████████▏ | 57450/70000 [20:20:31<4:32:46, 1.30s/step] Training: 82%|████████▏ | 57451/70000 [20:20:32<4:25:27, 1.27s/step] Training: 82%|████████▏ | 57452/70000 [20:20:33<4:20:19, 1.24s/step] Training: 82%|████████▏ | 57453/70000 [20:20:35<4:16:54, 1.23s/step] Training: 82%|████████▏ | 57454/70000 [20:20:36<4:23:36, 1.26s/step] Training: 82%|████████▏ | 57455/70000 [20:20:37<4:19:08, 1.24s/step] Training: 82%|████████▏ | 57456/70000 [20:20:39<4:31:42, 1.30s/step] Training: 82%|████████▏ | 57457/70000 [20:20:40<4:40:43, 1.34s/step] Training: 82%|████████▏ | 57458/70000 [20:20:41<4:32:16, 1.30s/step] Training: 82%|████████▏ | 57459/70000 [20:20:42<4:25:53, 1.27s/step] Training: 82%|████████▏ | 57460/70000 [20:20:44<4:20:39, 1.25s/step] Training: 82%|████████▏ | 57461/70000 [20:20:45<4:17:09, 1.23s/step] Training: 82%|████████▏ | 57462/70000 [20:20:46<4:23:43, 1.26s/step] Training: 82%|████████▏ | 57463/70000 [20:20:47<4:19:11, 1.24s/step] Training: 82%|████████▏ | 57464/70000 [20:20:49<4:24:29, 1.27s/step] Training: 82%|████████▏ | 57465/70000 [20:20:50<4:33:15, 1.31s/step] Training: 82%|████████▏ | 57466/70000 [20:20:51<4:34:23, 1.31s/step] Training: 82%|████████▏ | 57467/70000 [20:20:53<4:26:34, 1.28s/step] Training: 82%|████████▏ | 57468/70000 [20:20:54<4:21:08, 1.25s/step] Training: 82%|████████▏ | 57469/70000 [20:20:55<4:17:22, 1.23s/step] Training: 82%|████████▏ | 57470/70000 [20:20:56<4:23:30, 1.26s/step] Training: 82%|████████▏ | 57471/70000 [20:20:57<4:21:18, 1.25s/step] Training: 82%|████████▏ | 57472/70000 [20:20:59<4:18:03, 1.24s/step] Training: 82%|████████▏ | 57473/70000 [20:21:00<4:24:25, 1.27s/step] Training: 82%|████████▏ | 57474/70000 [20:21:01<4:28:08, 1.28s/step] Training: 82%|████████▏ | 57475/70000 [20:21:03<4:22:11, 1.26s/step] Training: 82%|████████▏ | 57476/70000 [20:21:04<4:17:53, 1.24s/step] Training: 82%|████████▏ | 57477/70000 [20:21:05<4:15:07, 1.22s/step] Training: 82%|████████▏ | 57478/70000 [20:21:06<4:22:50, 1.26s/step] Training: 82%|████████▏ | 57479/70000 [20:21:07<4:20:44, 1.25s/step] Training: 82%|████████▏ | 57480/70000 [20:21:09<4:19:32, 1.24s/step] Training: 82%|████████▏ | 57481/70000 [20:21:10<4:28:05, 1.28s/step] Training: 82%|████████▏ | 57482/70000 [20:21:11<4:30:31, 1.30s/step] Training: 82%|████████▏ | 57483/70000 [20:21:13<4:23:47, 1.26s/step] Training: 82%|████████▏ | 57484/70000 [20:21:14<4:19:15, 1.24s/step] Training: 82%|████████▏ | 57485/70000 [20:21:15<4:15:57, 1.23s/step] Training: 82%|████████▏ | 57486/70000 [20:21:16<4:22:32, 1.26s/step] Training: 82%|████████▏ | 57487/70000 [20:21:18<4:27:37, 1.28s/step] Training: 82%|████████▏ | 57488/70000 [20:21:19<4:21:36, 1.25s/step] Training: 82%|████████▏ | 57489/70000 [20:21:20<4:32:26, 1.31s/step] Training: 82%|████████▏ | 57490/70000 [20:21:21<4:26:16, 1.28s/step] Training: 82%|████████▏ | 57491/70000 [20:21:23<4:20:48, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=17101 Training: 82%|████████▏ | 57492/70000 [20:21:24<4:16:57, 1.23s/step] Training: 82%|████████▏ | 57493/70000 [20:21:25<4:14:15, 1.22s/step] Training: 82%|████████▏ | 57494/70000 [20:21:26<4:21:40, 1.26s/step] Training: 82%|████████▏ | 57495/70000 [20:21:28<4:27:04, 1.28s/step] Training: 82%|████████▏ | 57496/70000 [20:21:29<4:29:45, 1.29s/step] Training: 82%|████████▏ | 57497/70000 [20:21:30<4:31:44, 1.30s/step] Training: 82%|████████▏ | 57498/70000 [20:21:32<4:40:34, 1.35s/step] Training: 82%|████████▏ | 57499/70000 [20:21:33<4:30:40, 1.30s/step] Training: 82%|████████▏ | 57500/70000 [20:21:34<4:23:52, 1.27s/step]INFO 2026-03-13 16:31:26 ot_train.py:435 step:58K smpl:4M ep:13K epch:48.74 loss:0.008 grdn:0.618 lr:2.9e-06 updt_s:1.246 data_s:0.019 Training: 82%|████████▏ | 57501/70000 [20:21:35<4:18:49, 1.24s/step] Training: 82%|████████▏ | 57502/70000 [20:21:37<4:24:41, 1.27s/step] Training: 82%|████████▏ | 57503/70000 [20:21:38<4:20:46, 1.25s/step] Training: 82%|████████▏ | 57504/70000 [20:21:39<4:18:08, 1.24s/step] Training: 82%|████████▏ | 57505/70000 [20:21:40<4:24:10, 1.27s/step] Training: 82%|████████▏ | 57506/70000 [20:21:42<4:33:23, 1.31s/step] Training: 82%|████████▏ | 57507/70000 [20:21:43<4:25:43, 1.28s/step] Training: 82%|████████▏ | 57508/70000 [20:21:44<4:20:09, 1.25s/step] Training: 82%|████████▏ | 57509/70000 [20:21:45<4:16:15, 1.23s/step] Training: 82%|████████▏ | 57510/70000 [20:21:47<4:25:01, 1.27s/step] Training: 82%|████████▏ | 57511/70000 [20:21:48<4:22:33, 1.26s/step] Training: 82%|████████▏ | 57512/70000 [20:21:49<4:20:41, 1.25s/step] Training: 82%|████████▏ | 57513/70000 [20:21:51<4:25:12, 1.27s/step] Training: 82%|████████▏ | 57514/70000 [20:21:52<4:29:35, 1.30s/step] Training: 82%|████████▏ | 57515/70000 [20:21:53<4:22:13, 1.26s/step] Training: 82%|████████▏ | 57516/70000 [20:21:54<4:17:27, 1.24s/step] Training: 82%|████████▏ | 57517/70000 [20:21:56<4:14:31, 1.22s/step] Training: 82%|████████▏ | 57518/70000 [20:21:57<4:21:34, 1.26s/step] Training: 82%|████████▏ | 57519/70000 [20:21:58<4:17:25, 1.24s/step] Training: 82%|████████▏ | 57520/70000 [20:21:59<4:22:15, 1.26s/step] Training: 82%|████████▏ | 57521/70000 [20:22:01<4:32:56, 1.31s/step] Training: 82%|████████▏ | 57522/70000 [20:22:02<4:35:47, 1.33s/step] Training: 82%|████████▏ | 57523/70000 [20:22:03<4:26:39, 1.28s/step] Training: 82%|████████▏ | 57524/70000 [20:22:05<4:20:55, 1.25s/step] Training: 82%|████████▏ | 57525/70000 [20:22:06<4:16:50, 1.24s/step] Training: 82%|████████▏ | 57526/70000 [20:22:07<4:22:33, 1.26s/step] Training: 82%|████████▏ | 57527/70000 [20:22:08<4:27:41, 1.29s/step] Training: 82%|████████▏ | 57528/70000 [20:22:10<4:29:39, 1.30s/step] Training: 82%|████████▏ | 57529/70000 [20:22:11<4:31:25, 1.31s/step] Training: 82%|████████▏ | 57530/70000 [20:22:12<4:32:57, 1.31s/step] Training: 82%|████████▏ | 57531/70000 [20:22:14<4:34:41, 1.32s/step] Training: 82%|████████▏ | 57532/70000 [20:22:15<4:25:56, 1.28s/step] Training: 82%|████████▏ | 57533/70000 [20:22:16<4:20:02, 1.25s/step] Training: 82%|████████▏ | 57534/70000 [20:22:17<4:25:32, 1.28s/step] Training: 82%|████████▏ | 57535/70000 [20:22:19<4:21:45, 1.26s/step] Training: 82%|████████▏ | 57536/70000 [20:22:20<4:17:45, 1.24s/step] Training: 82%|████████▏ | 57537/70000 [20:22:21<4:24:12, 1.27s/step] Training: 82%|████████▏ | 57538/70000 [20:22:23<4:28:04, 1.29s/step] Training: 82%|████████▏ | 57539/70000 [20:22:24<4:31:41, 1.31s/step] Training: 82%|████████▏ | 57540/70000 [20:22:25<4:24:12, 1.27s/step] Training: 82%|████████▏ | 57541/70000 [20:22:26<4:19:04, 1.25s/step] Training: 82%|████████▏ | 57542/70000 [20:22:28<4:26:59, 1.29s/step] Training: 82%|████████▏ | 57543/70000 [20:22:29<4:23:28, 1.27s/step] Training: 82%|████████▏ | 57544/70000 [20:22:30<4:21:02, 1.26s/step] Training: 82%|████████▏ | 57545/70000 [20:22:31<4:24:58, 1.28s/step] Training: 82%|████████▏ | 57546/70000 [20:22:33<4:28:19, 1.29s/step] Training: 82%|████████▏ | 57547/70000 [20:22:34<4:24:16, 1.27s/step] Training: 82%|████████▏ | 57548/70000 [20:22:35<4:19:00, 1.25s/step] Training: 82%|████████▏ | 57549/70000 [20:22:36<4:15:31, 1.23s/step] Training: 82%|████████▏ | 57550/70000 [20:22:38<4:21:17, 1.26s/step] Training: 82%|████████▏ | 57551/70000 [20:22:39<4:16:52, 1.24s/step] Training: 82%|████████▏ | 57552/70000 [20:22:40<4:21:47, 1.26s/step] Training: 82%|████████▏ | 57553/70000 [20:22:42<4:30:32, 1.30s/step] Training: 82%|████████▏ | 57554/70000 [20:22:43<4:24:42, 1.28s/step] Training: 82%|████████▏ | 57555/70000 [20:22:44<4:23:50, 1.27s/step] Training: 82%|████████▏ | 57556/70000 [20:22:45<4:18:11, 1.24s/step] Training: 82%|████████▏ | 57557/70000 [20:22:46<4:14:24, 1.23s/step] Training: 82%|████████▏ | 57558/70000 [20:22:48<4:21:09, 1.26s/step] Training: 82%|████████▏ | 57559/70000 [20:22:49<4:16:51, 1.24s/step] Training: 82%|████████▏ | 57560/70000 [20:22:50<4:13:39, 1.22s/step] Training: 82%|████████▏ | 57561/70000 [20:22:51<4:20:15, 1.26s/step] Training: 82%|████████▏ | 57562/70000 [20:22:53<4:16:10, 1.24s/step] Training: 82%|████████▏ | 57563/70000 [20:22:54<4:21:05, 1.26s/step] Training: 82%|████████▏ | 57564/70000 [20:22:55<4:26:40, 1.29s/step] Training: 82%|████████▏ | 57565/70000 [20:22:56<4:20:09, 1.26s/step] Training: 82%|████████▏ | 57566/70000 [20:22:58<4:24:46, 1.28s/step] Training: 82%|████████▏ | 57567/70000 [20:22:59<4:22:00, 1.26s/step] Training: 82%|████████▏ | 57568/70000 [20:23:00<4:19:50, 1.25s/step] Training: 82%|████████▏ | 57569/70000 [20:23:02<4:25:12, 1.28s/step] Training: 82%|████████▏ | 57570/70000 [20:23:03<4:19:32, 1.25s/step] Training: 82%|████████▏ | 57571/70000 [20:23:04<4:20:20, 1.26s/step] Training: 82%|████████▏ | 57572/70000 [20:23:05<4:20:34, 1.26s/step] Training: 82%|████████▏ | 57573/70000 [20:23:07<4:16:30, 1.24s/step] Training: 82%|████████▏ | 57574/70000 [20:23:08<4:24:55, 1.28s/step] Training: 82%|████████▏ | 57575/70000 [20:23:09<4:20:39, 1.26s/step] Training: 82%|████████▏ | 57576/70000 [20:23:10<4:17:51, 1.25s/step] Training: 82%|████████▏ | 57577/70000 [20:23:12<4:23:15, 1.27s/step] Training: 82%|████████▏ | 57578/70000 [20:23:13<4:18:09, 1.25s/step] Training: 82%|████████▏ | 57579/70000 [20:23:14<4:14:30, 1.23s/step] Training: 82%|████████▏ | 57580/70000 [20:23:15<4:11:56, 1.22s/step] Training: 82%|████████▏ | 57581/70000 [20:23:17<4:19:45, 1.25s/step] Training: 82%|████████▏ | 57582/70000 [20:23:18<4:23:36, 1.27s/step] Training: 82%|████████▏ | 57583/70000 [20:23:19<4:27:32, 1.29s/step] Training: 82%|████████▏ | 57584/70000 [20:23:21<4:30:25, 1.31s/step] Training: 82%|████████▏ | 57585/70000 [20:23:22<4:34:25, 1.33s/step] Training: 82%|████████▏ | 57586/70000 [20:23:23<4:26:00, 1.29s/step] Training: 82%|████████▏ | 57587/70000 [20:23:24<4:29:22, 1.30s/step] Training: 82%|████████▏ | 57588/70000 [20:23:26<4:33:24, 1.32s/step] Training: 82%|████████▏ | 57589/70000 [20:23:27<4:24:29, 1.28s/step] Training: 82%|████████▏ | 57590/70000 [20:23:28<4:27:51, 1.30s/step] Training: 82%|████████▏ | 57591/70000 [20:23:30<4:30:04, 1.31s/step] Training: 82%|████████▏ | 57592/70000 [20:23:31<4:31:05, 1.31s/step] Training: 82%|████████▏ | 57593/70000 [20:23:32<4:31:59, 1.32s/step] Training: 82%|████████▏ | 57594/70000 [20:23:34<4:24:14, 1.28s/step] Training: 82%|████████▏ | 57595/70000 [20:23:35<4:19:29, 1.26s/step] Training: 82%|████████▏ | 57596/70000 [20:23:36<4:15:18, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=43919 Training: 82%|████████▏ | 57597/70000 [20:23:37<4:22:04, 1.27s/step] Training: 82%|████████▏ | 57598/70000 [20:23:39<4:24:57, 1.28s/step] Training: 82%|████████▏ | 57599/70000 [20:23:40<4:22:09, 1.27s/step] Training: 82%|████████▏ | 57600/70000 [20:23:41<4:19:24, 1.26s/step]INFO 2026-03-13 16:33:33 ot_train.py:435 step:58K smpl:4M ep:13K epch:48.82 loss:0.008 grdn:0.578 lr:2.8e-06 updt_s:1.247 data_s:0.019 Training: 82%|████████▏ | 57601/70000 [20:23:42<4:23:53, 1.28s/step] Training: 82%|████████▏ | 57602/70000 [20:23:44<4:18:23, 1.25s/step] Training: 82%|████████▏ | 57603/70000 [20:23:45<4:17:18, 1.25s/step] Training: 82%|████████▏ | 57604/70000 [20:23:46<4:13:49, 1.23s/step] Training: 82%|████████▏ | 57605/70000 [20:23:47<4:21:45, 1.27s/step] Training: 82%|████████▏ | 57606/70000 [20:23:49<4:27:40, 1.30s/step] Training: 82%|████████▏ | 57607/70000 [20:23:50<4:23:22, 1.28s/step] Training: 82%|████████▏ | 57608/70000 [20:23:51<4:20:11, 1.26s/step] Training: 82%|████████▏ | 57609/70000 [20:23:52<4:24:30, 1.28s/step] Training: 82%|████████▏ | 57610/70000 [20:23:54<4:18:50, 1.25s/step] Training: 82%|████████▏ | 57611/70000 [20:23:55<4:14:49, 1.23s/step] Training: 82%|████████▏ | 57612/70000 [20:23:56<4:19:39, 1.26s/step] Training: 82%|████████▏ | 57613/70000 [20:23:57<4:15:43, 1.24s/step] Training: 82%|████████▏ | 57614/70000 [20:23:59<4:20:48, 1.26s/step] Training: 82%|████████▏ | 57615/70000 [20:24:00<4:24:39, 1.28s/step] Training: 82%|████████▏ | 57616/70000 [20:24:01<4:28:28, 1.30s/step] Training: 82%|████████▏ | 57617/70000 [20:24:03<4:32:52, 1.32s/step] Training: 82%|████████▏ | 57618/70000 [20:24:04<4:24:36, 1.28s/step] Training: 82%|████████▏ | 57619/70000 [20:24:05<4:27:01, 1.29s/step] Training: 82%|████████▏ | 57620/70000 [20:24:06<4:20:35, 1.26s/step] Training: 82%|████████▏ | 57621/70000 [20:24:08<4:19:09, 1.26s/step] Training: 82%|████████▏ | 57622/70000 [20:24:09<4:23:34, 1.28s/step] Training: 82%|████████▏ | 57623/70000 [20:24:10<4:27:08, 1.30s/step] Training: 82%|████████▏ | 57624/70000 [20:24:12<4:29:24, 1.31s/step] Training: 82%|████████▏ | 57625/70000 [20:24:13<4:30:32, 1.31s/step] Training: 82%|████████▏ | 57626/70000 [20:24:14<4:22:56, 1.27s/step] Training: 82%|████████▏ | 57627/70000 [20:24:15<4:18:33, 1.25s/step] Training: 82%|████████▏ | 57628/70000 [20:24:17<4:14:27, 1.23s/step] Training: 82%|████████▏ | 57629/70000 [20:24:18<4:11:33, 1.22s/step] Training: 82%|████████▏ | 57630/70000 [20:24:19<4:25:18, 1.29s/step] Training: 82%|████████▏ | 57631/70000 [20:24:20<4:21:30, 1.27s/step] Training: 82%|████████▏ | 57632/70000 [20:24:22<4:18:20, 1.25s/step] Training: 82%|████████▏ | 57633/70000 [20:24:23<4:23:08, 1.28s/step] Training: 82%|████████▏ | 57634/70000 [20:24:24<4:17:57, 1.25s/step] Training: 82%|████████▏ | 57635/70000 [20:24:25<4:16:41, 1.25s/step] Training: 82%|████████▏ | 57636/70000 [20:24:27<4:13:23, 1.23s/step] Training: 82%|████████▏ | 57637/70000 [20:24:28<4:21:15, 1.27s/step] Training: 82%|████████▏ | 57638/70000 [20:24:29<4:27:41, 1.30s/step] Training: 82%|████████▏ | 57639/70000 [20:24:31<4:22:08, 1.27s/step] Training: 82%|████████▏ | 57640/70000 [20:24:32<4:18:50, 1.26s/step] Training: 82%|████████▏ | 57641/70000 [20:24:33<4:23:25, 1.28s/step] Training: 82%|████████▏ | 57642/70000 [20:24:34<4:17:54, 1.25s/step] Training: 82%|████████▏ | 57643/70000 [20:24:35<4:14:35, 1.24s/step] Training: 82%|████████▏ | 57644/70000 [20:24:37<4:18:59, 1.26s/step] Training: 82%|████████▏ | 57645/70000 [20:24:38<4:15:13, 1.24s/step] Training: 82%|████████▏ | 57646/70000 [20:24:39<4:29:06, 1.31s/step] Training: 82%|████████▏ | 57647/70000 [20:24:41<4:30:19, 1.31s/step] Training: 82%|████████▏ | 57648/70000 [20:24:42<4:32:06, 1.32s/step] Training: 82%|████████▏ | 57649/70000 [20:24:43<4:34:49, 1.34s/step] Training: 82%|████████▏ | 57650/70000 [20:24:45<4:25:58, 1.29s/step] Training: 82%|████████▏ | 57651/70000 [20:24:46<4:28:17, 1.30s/step] Training: 82%|████████▏ | 57652/70000 [20:24:47<4:21:14, 1.27s/step] Training: 82%|████████▏ | 57653/70000 [20:24:48<4:16:11, 1.24s/step] Training: 82%|████████▏ | 57654/70000 [20:24:50<4:28:42, 1.31s/step] Training: 82%|████████▏ | 57655/70000 [20:24:51<4:30:05, 1.31s/step] Training: 82%|████████▏ | 57656/70000 [20:24:52<4:31:34, 1.32s/step] Training: 82%|████████▏ | 57657/70000 [20:24:54<4:32:13, 1.32s/step] Training: 82%|████████▏ | 57658/70000 [20:24:55<4:24:00, 1.28s/step] Training: 82%|████████▏ | 57659/70000 [20:24:56<4:23:33, 1.28s/step] Training: 82%|████████▏ | 57660/70000 [20:24:57<4:17:26, 1.25s/step] Training: 82%|████████▏ | 57661/70000 [20:24:59<4:13:38, 1.23s/step] Training: 82%|████████▏ | 57662/70000 [20:25:00<4:19:05, 1.26s/step] Training: 82%|████████▏ | 57663/70000 [20:25:01<4:16:59, 1.25s/step] Training: 82%|████████▏ | 57664/70000 [20:25:02<4:15:30, 1.24s/step] Training: 82%|████████▏ | 57665/70000 [20:25:04<4:20:55, 1.27s/step] Training: 82%|████████▏ | 57666/70000 [20:25:05<4:16:19, 1.25s/step] Training: 82%|████████▏ | 57667/70000 [20:25:06<4:14:58, 1.24s/step] Training: 82%|████████▏ | 57668/70000 [20:25:07<4:11:55, 1.23s/step] Training: 82%|████████▏ | 57669/70000 [20:25:09<4:09:51, 1.22s/step] Training: 82%|████████▏ | 57670/70000 [20:25:10<4:20:40, 1.27s/step] Training: 82%|████████▏ | 57671/70000 [20:25:11<4:17:27, 1.25s/step] Training: 82%|████████▏ | 57672/70000 [20:25:12<4:15:16, 1.24s/step] Training: 82%|████████▏ | 57673/70000 [20:25:14<4:20:46, 1.27s/step] Training: 82%|████████▏ | 57674/70000 [20:25:15<4:16:06, 1.25s/step] Training: 82%|████████▏ | 57675/70000 [20:25:16<4:12:37, 1.23s/step] Training: 82%|████████▏ | 57676/70000 [20:25:17<4:18:33, 1.26s/step] Training: 82%|████████▏ | 57677/70000 [20:25:19<4:14:31, 1.24s/step] Training: 82%|████████▏ | 57678/70000 [20:25:20<4:15:18, 1.24s/step] Training: 82%|████████▏ | 57679/70000 [20:25:21<4:25:06, 1.29s/step] Training: 82%|████████▏ | 57680/70000 [20:25:23<4:26:57, 1.30s/step] Training: 82%|████████▏ | 57681/70000 [20:25:24<4:31:04, 1.32s/step] Training: 82%|████████▏ | 57682/70000 [20:25:25<4:22:38, 1.28s/step] Training: 82%|████████▏ | 57683/70000 [20:25:26<4:25:11, 1.29s/step] Training: 82%|████████▏ | 57684/70000 [20:25:28<4:18:54, 1.26s/step] Training: 82%|████████▏ | 57685/70000 [20:25:29<4:14:07, 1.24s/step] Training: 82%|████████▏ | 57686/70000 [20:25:30<4:19:33, 1.26s/step] Training: 82%|████████▏ | 57687/70000 [20:25:32<4:31:10, 1.32s/step] Training: 82%|████████▏ | 57688/70000 [20:25:33<4:31:54, 1.33s/step] Training: 82%|████████▏ | 57689/70000 [20:25:34<4:24:55, 1.29s/step] Training: 82%|████████▏ | 57690/70000 [20:25:35<4:26:32, 1.30s/step] Training: 82%|████████▏ | 57691/70000 [20:25:37<4:21:05, 1.27s/step] Training: 82%|████████▏ | 57692/70000 [20:25:38<4:15:55, 1.25s/step] Training: 82%|████████▏ | 57693/70000 [20:25:39<4:12:11, 1.23s/step] Training: 82%|████████▏ | 57694/70000 [20:25:40<4:18:03, 1.26s/step] Training: 82%|████████▏ | 57695/70000 [20:25:42<4:18:37, 1.26s/step] Training: 82%|████████▏ | 57696/70000 [20:25:43<4:16:05, 1.25s/step] Training: 82%|████████▏ | 57697/70000 [20:25:44<4:20:56, 1.27s/step] Training: 82%|████████▏ | 57698/70000 [20:25:46<4:23:25, 1.28s/step] Training: 82%|████████▏ | 57699/70000 [20:25:47<4:26:02, 1.30s/step] Training: 82%|████████▏ | 57700/70000 [20:25:48<4:19:18, 1.26s/step]INFO 2026-03-13 16:35:40 ot_train.py:435 step:58K smpl:4M ep:13K epch:48.91 loss:0.008 grdn:0.787 lr:2.8e-06 updt_s:1.249 data_s:0.019 Training: 82%|████████▏ | 57701/70000 [20:25:49<4:14:31, 1.24s/step] Training: 82%|████████▏ | 57702/70000 [20:25:50<4:13:28, 1.24s/step] Training: 82%|████████▏ | 57703/70000 [20:25:52<4:12:53, 1.23s/step] Training: 82%|████████▏ | 57704/70000 [20:25:53<4:20:03, 1.27s/step] Training: 82%|████████▏ | 57705/70000 [20:25:54<4:23:09, 1.28s/step] Training: 82%|████████▏ | 57706/70000 [20:25:56<4:17:16, 1.26s/step] Training: 82%|████████▏ | 57707/70000 [20:25:57<4:14:29, 1.24s/step] Training: 82%|████████▏ | 57708/70000 [20:25:58<4:11:07, 1.23s/step] Training: 82%|████████▏ | 57709/70000 [20:25:59<4:08:44, 1.21s/step] Training: 82%|████████▏ | 57710/70000 [20:26:00<4:09:19, 1.22s/step] Training: 82%|████████▏ | 57711/70000 [20:26:02<4:18:19, 1.26s/step] Training: 82%|████████▏ | 57712/70000 [20:26:03<4:21:52, 1.28s/step] Training: 82%|████████▏ | 57713/70000 [20:26:04<4:19:23, 1.27s/step] Training: 82%|████████▏ | 57714/70000 [20:26:05<4:15:42, 1.25s/step] Training: 82%|████████▏ | 57715/70000 [20:26:07<4:20:09, 1.27s/step] Training: 82%|████████▏ | 57716/70000 [20:26:08<4:15:09, 1.25s/step] Training: 82%|████████▏ | 57717/70000 [20:26:09<4:11:25, 1.23s/step] Training: 82%|████████▏ | 57718/70000 [20:26:10<4:08:57, 1.22s/step] Training: 82%|████████▏ | 57719/70000 [20:26:12<4:23:42, 1.29s/step] Training: 82%|████████▏ | 57720/70000 [20:26:13<4:32:20, 1.33s/step] Training: 82%|████████▏ | 57721/70000 [20:26:14<4:25:15, 1.30s/step] Training: 82%|████████▏ | 57722/70000 [20:26:16<4:22:07, 1.28s/step] Training: 82%|████████▏ | 57723/70000 [20:26:17<4:25:01, 1.30s/step] Training: 82%|████████▏ | 57724/70000 [20:26:18<4:18:30, 1.26s/step] Training: 82%|████████▏ | 57725/70000 [20:26:19<4:13:41, 1.24s/step] Training: 82%|████████▏ | 57726/70000 [20:26:21<4:10:31, 1.22s/step] Training: 82%|████████▏ | 57727/70000 [20:26:22<4:19:51, 1.27s/step] Training: 82%|████████▏ | 57728/70000 [20:26:23<4:24:20, 1.29s/step] Training: 82%|████████▏ | 57729/70000 [20:26:25<4:26:21, 1.30s/step] Training: 82%|████████▏ | 57730/70000 [20:26:26<4:19:16, 1.27s/step] Training: 82%|████████▏ | 57731/70000 [20:26:27<4:31:04, 1.33s/step] Training: 82%|████████▏ | 57732/70000 [20:26:29<4:22:38, 1.28s/step] Training: 82%|████████▏ | 57733/70000 [20:26:30<4:16:35, 1.26s/step] Training: 82%|████████▏ | 57734/70000 [20:26:31<4:15:14, 1.25s/step] Training: 82%|████████▏ | 57735/70000 [20:26:32<4:19:59, 1.27s/step] Training: 82%|████████▏ | 57736/70000 [20:26:33<4:16:01, 1.25s/step] Training: 82%|████████▏ | 57737/70000 [20:26:35<4:20:30, 1.27s/step] Training: 82%|████████▏ | 57738/70000 [20:26:36<4:23:38, 1.29s/step] Training: 82%|████████▏ | 57739/70000 [20:26:37<4:19:21, 1.27s/step] Training: 82%|████████▏ | 57740/70000 [20:26:39<4:14:37, 1.25s/step] Training: 82%|████████▏ | 57741/70000 [20:26:40<4:10:57, 1.23s/step] Training: 82%|████████▏ | 57742/70000 [20:26:41<4:09:38, 1.22s/step] Training: 82%|████████▏ | 57743/70000 [20:26:42<4:15:40, 1.25s/step] Training: 82%|████████▏ | 57744/70000 [20:26:44<4:24:06, 1.29s/step] Training: 82%|████████▏ | 57745/70000 [20:26:45<4:20:27, 1.28s/step] Training: 82%|████████▏ | 57746/70000 [20:26:46<4:16:41, 1.26s/step] Training: 82%|████████▏ | 57747/70000 [20:26:47<4:22:02, 1.28s/step] Training: 82%|████████▏ | 57748/70000 [20:26:49<4:16:12, 1.25s/step] Training: 82%|████████▏ | 57749/70000 [20:26:50<4:12:13, 1.24s/step] Training: 82%|████████▎ | 57750/70000 [20:26:51<4:17:29, 1.26s/step] Training: 83%|████████▎ | 57751/70000 [20:26:52<4:21:17, 1.28s/step] Training: 83%|████████▎ | 57752/70000 [20:26:54<4:24:20, 1.29s/step] Training: 83%|████████▎ | 57753/70000 [20:26:55<4:18:52, 1.27s/step] Training: 83%|████████▎ | 57754/70000 [20:26:56<4:16:16, 1.26s/step] Training: 83%|████████▎ | 57755/70000 [20:26:58<4:21:24, 1.28s/step] Training: 83%|████████▎ | 57756/70000 [20:26:59<4:15:44, 1.25s/step] Training: 83%|████████▎ | 57757/70000 [20:27:00<4:11:50, 1.23s/step] Training: 83%|████████▎ | 57758/70000 [20:27:01<4:16:57, 1.26s/step] Training: 83%|████████▎ | 57759/70000 [20:27:03<4:23:10, 1.29s/step] Training: 83%|████████▎ | 57760/70000 [20:27:04<4:19:42, 1.27s/step] Training: 83%|████████▎ | 57761/70000 [20:27:05<4:29:57, 1.32s/step] Training: 83%|████████▎ | 57762/70000 [20:27:06<4:21:46, 1.28s/step] Training: 83%|████████▎ | 57763/70000 [20:27:08<4:33:36, 1.34s/step] Training: 83%|████████▎ | 57764/70000 [20:27:09<4:24:00, 1.29s/step] Training: 83%|████████▎ | 57765/70000 [20:27:10<4:17:31, 1.26s/step] Training: 83%|████████▎ | 57766/70000 [20:27:12<4:15:18, 1.25s/step] Training: 83%|████████▎ | 57767/70000 [20:27:13<4:20:19, 1.28s/step] Training: 83%|████████▎ | 57768/70000 [20:27:14<4:17:06, 1.26s/step] Training: 83%|████████▎ | 57769/70000 [20:27:16<4:26:51, 1.31s/step] Training: 83%|████████▎ | 57770/70000 [20:27:17<4:27:34, 1.31s/step] Training: 83%|████████▎ | 57771/70000 [20:27:18<4:21:44, 1.28s/step] Training: 83%|████████▎ | 57772/70000 [20:27:19<4:16:04, 1.26s/step] Training: 83%|████████▎ | 57773/70000 [20:27:20<4:11:33, 1.23s/step] Training: 83%|████████▎ | 57774/70000 [20:27:22<4:09:34, 1.22s/step] Training: 83%|████████▎ | 57775/70000 [20:27:23<4:16:06, 1.26s/step] Training: 83%|████████▎ | 57776/70000 [20:27:24<4:20:09, 1.28s/step] Training: 83%|████████▎ | 57777/70000 [20:27:26<4:17:34, 1.26s/step] Training: 83%|████████▎ | 57778/70000 [20:27:27<4:21:43, 1.28s/step] Training: 83%|████████▎ | 57779/70000 [20:27:28<4:24:19, 1.30s/step] Training: 83%|████████▎ | 57780/70000 [20:27:29<4:17:51, 1.27s/step] Training: 83%|████████▎ | 57781/70000 [20:27:31<4:12:56, 1.24s/step] Training: 83%|████████▎ | 57782/70000 [20:27:32<4:18:12, 1.27s/step] Training: 83%|████████▎ | 57783/70000 [20:27:33<4:14:41, 1.25s/step] Training: 83%|████████▎ | 57784/70000 [20:27:34<4:20:03, 1.28s/step] Training: 83%|████████▎ | 57785/70000 [20:27:36<4:25:30, 1.30s/step] Training: 83%|████████▎ | 57786/70000 [20:27:37<4:19:53, 1.28s/step] Training: 83%|████████▎ | 57787/70000 [20:27:38<4:22:57, 1.29s/step] Training: 83%|████████▎ | 57788/70000 [20:27:40<4:16:46, 1.26s/step] Training: 83%|████████▎ | 57789/70000 [20:27:41<4:12:09, 1.24s/step] Training: 83%|████████▎ | 57790/70000 [20:27:42<4:17:24, 1.26s/step] Training: 83%|████████▎ | 57791/70000 [20:27:43<4:23:30, 1.30s/step] Training: 83%|████████▎ | 57792/70000 [20:27:45<4:19:14, 1.27s/step] Training: 83%|████████▎ | 57793/70000 [20:27:46<4:22:16, 1.29s/step] Training: 83%|████████▎ | 57794/70000 [20:27:47<4:26:19, 1.31s/step] Training: 83%|████████▎ | 57795/70000 [20:27:49<4:31:13, 1.33s/step] Training: 83%|████████▎ | 57796/70000 [20:27:50<4:22:25, 1.29s/step] Training: 83%|████████▎ | 57797/70000 [20:27:51<4:16:28, 1.26s/step] Training: 83%|████████▎ | 57798/70000 [20:27:52<4:15:06, 1.25s/step] Training: 83%|████████▎ | 57799/70000 [20:27:54<4:19:59, 1.28s/step] Training: 83%|████████▎ | 57800/70000 [20:27:55<4:16:20, 1.26s/step]INFO 2026-03-13 16:37:47 ot_train.py:435 step:58K smpl:4M ep:13K epch:48.99 loss:0.008 grdn:0.706 lr:2.8e-06 updt_s:1.247 data_s:0.019 Training: 83%|████████▎ | 57801/70000 [20:27:56<4:20:31, 1.28s/step] Training: 83%|████████▎ | 57802/70000 [20:27:58<4:24:35, 1.30s/step] Training: 83%|████████▎ | 57803/70000 [20:27:59<4:18:29, 1.27s/step] Training: 83%|████████▎ | 57804/70000 [20:28:00<4:13:24, 1.25s/step] Training: 83%|████████▎ | 57805/70000 [20:28:01<4:09:49, 1.23s/step] Training: 83%|████████▎ | 57806/70000 [20:28:02<4:10:02, 1.23s/step] Training: 83%|████████▎ | 57807/70000 [20:28:04<4:18:28, 1.27s/step] Training: 83%|████████▎ | 57808/70000 [20:28:05<4:21:36, 1.29s/step] Training: 83%|████████▎ | 57809/70000 [20:28:06<4:18:08, 1.27s/step] Training: 83%|████████▎ | 57810/70000 [20:28:08<4:15:11, 1.26s/step] Training: 83%|████████▎ | 57811/70000 [20:28:09<4:19:25, 1.28s/step] Training: 83%|████████▎ | 57812/70000 [20:28:10<4:13:52, 1.25s/step] Training: 83%|████████▎ | 57813/70000 [20:28:11<4:09:58, 1.23s/step] Training: 83%|████████▎ | 57814/70000 [20:28:12<4:07:15, 1.22s/step] Training: 83%|████████▎ | 57815/70000 [20:28:14<4:22:48, 1.29s/step] Training: 83%|████████▎ | 57816/70000 [20:28:15<4:25:50, 1.31s/step] Training: 83%|████████▎ | 57817/70000 [20:28:16<4:19:25, 1.28s/step] Training: 83%|████████▎ | 57818/70000 [20:28:18<4:18:18, 1.27s/step] Training: 83%|████████▎ | 57819/70000 [20:28:19<4:21:33, 1.29s/step] Training: 83%|████████▎ | 57820/70000 [20:28:21<5:32:01, 1.64s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 83%|████████▎ | 57821/70000 [20:28:26<8:00:36, 2.37s/step] Training: 83%|████████▎ | 57822/70000 [20:28:27<7:01:25, 2.08s/step] Training: 83%|████████▎ | 57823/70000 [20:28:28<6:24:29, 1.89s/step] Training: 83%|████████▎ | 57824/70000 [20:28:30<5:47:57, 1.71s/step] Training: 83%|████████▎ | 57825/70000 [20:28:31<5:28:03, 1.62s/step] Training: 83%|████████▎ | 57826/70000 [20:28:32<5:08:26, 1.52s/step] Training: 83%|████████▎ | 57827/70000 [20:28:34<5:06:49, 1.51s/step] Training: 83%|████████▎ | 57828/70000 [20:28:35<4:47:01, 1.41s/step] Training: 83%|████████▎ | 57829/70000 [20:28:36<4:33:06, 1.35s/step] Training: 83%|████████▎ | 57830/70000 [20:28:37<4:24:59, 1.31s/step] Training: 83%|████████▎ | 57831/70000 [20:28:39<4:26:33, 1.31s/step] Training: 83%|████████▎ | 57832/70000 [20:28:40<4:20:32, 1.28s/step] Training: 83%|████████▎ | 57833/70000 [20:28:41<4:23:21, 1.30s/step] Training: 83%|████████▎ | 57834/70000 [20:28:43<4:17:12, 1.27s/step] Training: 83%|████████▎ | 57835/70000 [20:28:44<4:22:17, 1.29s/step] Training: 83%|████████▎ | 57836/70000 [20:28:45<4:15:40, 1.26s/step] Training: 83%|████████▎ | 57837/70000 [20:28:46<4:11:09, 1.24s/step] Training: 83%|████████▎ | 57838/70000 [20:28:48<4:10:42, 1.24s/step] Training: 83%|████████▎ | 57839/70000 [20:28:49<4:19:32, 1.28s/step] Training: 83%|████████▎ | 57840/70000 [20:28:50<4:22:35, 1.30s/step] Training: 83%|████████▎ | 57841/70000 [20:28:51<4:18:45, 1.28s/step] Training: 83%|████████▎ | 57842/70000 [20:28:53<4:13:21, 1.25s/step] Training: 83%|████████▎ | 57843/70000 [20:28:54<4:23:15, 1.30s/step] Training: 83%|████████▎ | 57844/70000 [20:28:55<4:16:35, 1.27s/step] Training: 83%|████████▎ | 57845/70000 [20:28:56<4:11:54, 1.24s/step] Training: 83%|████████▎ | 57846/70000 [20:28:58<4:08:48, 1.23s/step] Training: 83%|████████▎ | 57847/70000 [20:28:59<4:16:51, 1.27s/step] Training: 83%|████████▎ | 57848/70000 [20:29:00<4:27:41, 1.32s/step] Training: 83%|████████▎ | 57849/70000 [20:29:02<4:20:53, 1.29s/step] Training: 83%|████████▎ | 57850/70000 [20:29:03<4:15:02, 1.26s/step] Training: 83%|████████▎ | 57851/70000 [20:29:04<4:21:14, 1.29s/step] Training: 83%|████████▎ | 57852/70000 [20:29:05<4:14:16, 1.26s/step] Training: 83%|████████▎ | 57853/70000 [20:29:07<4:10:22, 1.24s/step] Training: 83%|████████▎ | 57854/70000 [20:29:08<4:07:33, 1.22s/step] Training: 83%|████████▎ | 57855/70000 [20:29:09<4:14:39, 1.26s/step] Training: 83%|████████▎ | 57856/70000 [20:29:10<4:17:15, 1.27s/step] Training: 83%|████████▎ | 57857/70000 [20:29:12<4:21:11, 1.29s/step] Training: 83%|████████▎ | 57858/70000 [20:29:13<4:15:06, 1.26s/step] Training: 83%|████████▎ | 57859/70000 [20:29:14<4:23:36, 1.30s/step] Training: 83%|████████▎ | 57860/70000 [20:29:16<4:16:27, 1.27s/step] Training: 83%|████████▎ | 57861/70000 [20:29:17<4:11:53, 1.25s/step] Training: 83%|████████▎ | 57862/70000 [20:29:18<4:15:23, 1.26s/step] Training: 83%|████████▎ | 57863/70000 [20:29:19<4:20:05, 1.29s/step] Training: 83%|████████▎ | 57864/70000 [20:29:21<4:15:40, 1.26s/step] Training: 83%|████████▎ | 57865/70000 [20:29:22<4:19:56, 1.29s/step] Training: 83%|████████▎ | 57866/70000 [20:29:23<4:14:08, 1.26s/step] Training: 83%|████████▎ | 57867/70000 [20:29:24<4:11:53, 1.25s/step] Training: 83%|████████▎ | 57868/70000 [20:29:26<4:17:51, 1.28s/step] Training: 83%|████████▎ | 57869/70000 [20:29:27<4:12:25, 1.25s/step] Training: 83%|████████▎ | 57870/70000 [20:29:28<4:17:07, 1.27s/step] Training: 83%|████████▎ | 57871/70000 [20:29:29<4:15:11, 1.26s/step] Training: 83%|████████▎ | 57872/70000 [20:29:31<4:25:20, 1.31s/step] Training: 83%|████████▎ | 57873/70000 [20:29:32<4:21:01, 1.29s/step] Training: 83%|████████▎ | 57874/70000 [20:29:33<4:14:51, 1.26s/step] Training: 83%|████████▎ | 57875/70000 [20:29:35<4:19:07, 1.28s/step] Training: 83%|████████▎ | 57876/70000 [20:29:36<4:22:29, 1.30s/step] Training: 83%|████████▎ | 57877/70000 [20:29:37<4:15:16, 1.26s/step] Training: 83%|████████▎ | 57878/70000 [20:29:38<4:12:05, 1.25s/step] Training: 83%|████████▎ | 57879/70000 [20:29:40<4:09:39, 1.24s/step] Training: 83%|████████▎ | 57880/70000 [20:29:41<4:15:40, 1.27s/step] Training: 83%|████████▎ | 57881/70000 [20:29:42<4:12:51, 1.25s/step] Training: 83%|████████▎ | 57882/70000 [20:29:43<4:09:06, 1.23s/step] Training: 83%|████████▎ | 57883/70000 [20:29:45<4:15:03, 1.26s/step] Training: 83%|████████▎ | 57884/70000 [20:29:46<4:18:11, 1.28s/step] Training: 83%|████████▎ | 57885/70000 [20:29:47<4:12:27, 1.25s/step] Training: 83%|████████▎ | 57886/70000 [20:29:48<4:16:54, 1.27s/step] Training: 83%|████████▎ | 57887/70000 [20:29:50<4:12:01, 1.25s/step] Training: 83%|████████▎ | 57888/70000 [20:29:51<4:17:33, 1.28s/step] Training: 83%|████████▎ | 57889/70000 [20:29:52<4:12:26, 1.25s/step] Training: 83%|████████▎ | 57890/70000 [20:29:53<4:17:11, 1.27s/step] Training: 83%|████████▎ | 57891/70000 [20:29:55<4:23:35, 1.31s/step] Training: 83%|████████▎ | 57892/70000 [20:29:56<4:27:28, 1.33s/step] Training: 83%|████████▎ | 57893/70000 [20:29:57<4:18:44, 1.28s/step] Training: 83%|████████▎ | 57894/70000 [20:29:59<4:21:25, 1.30s/step] Training: 83%|████████▎ | 57895/70000 [20:30:00<4:15:00, 1.26s/step] Training: 83%|████████▎ | 57896/70000 [20:30:01<4:22:51, 1.30s/step] Training: 83%|████████▎ | 57897/70000 [20:30:03<4:26:09, 1.32s/step] Training: 83%|████████▎ | 57898/70000 [20:30:04<4:18:25, 1.28s/step] Training: 83%|████████▎ | 57899/70000 [20:30:05<4:13:56, 1.26s/step] Training: 83%|████████▎ | 57900/70000 [20:30:06<4:12:52, 1.25s/step]INFO 2026-03-13 16:39:58 ot_train.py:435 step:58K smpl:4M ep:13K epch:49.08 loss:0.008 grdn:1.217 lr:2.7e-06 updt_s:1.252 data_s:0.060 Training: 83%|████████▎ | 57901/70000 [20:30:08<4:08:31, 1.23s/step] Training: 83%|████████▎ | 57902/70000 [20:30:09<4:14:20, 1.26s/step] Training: 83%|████████▎ | 57903/70000 [20:30:10<4:10:59, 1.24s/step] Training: 83%|████████▎ | 57904/70000 [20:30:11<4:16:50, 1.27s/step] Training: 83%|████████▎ | 57905/70000 [20:30:13<4:13:38, 1.26s/step] Training: 83%|████████▎ | 57906/70000 [20:30:14<4:09:29, 1.24s/step] Training: 83%|████████▎ | 57907/70000 [20:30:15<4:15:33, 1.27s/step] Training: 83%|████████▎ | 57908/70000 [20:30:16<4:10:42, 1.24s/step] Training: 83%|████████▎ | 57909/70000 [20:30:18<4:16:28, 1.27s/step] Training: 83%|████████▎ | 57910/70000 [20:30:19<4:12:18, 1.25s/step] Training: 83%|████████▎ | 57911/70000 [20:30:20<4:08:30, 1.23s/step] Training: 83%|████████▎ | 57912/70000 [20:30:21<4:14:51, 1.27s/step] Training: 83%|████████▎ | 57913/70000 [20:30:23<4:13:23, 1.26s/step] Training: 83%|████████▎ | 57914/70000 [20:30:24<4:09:46, 1.24s/step] Training: 83%|████████▎ | 57915/70000 [20:30:25<4:14:47, 1.27s/step] Training: 83%|████████▎ | 57916/70000 [20:30:26<4:10:15, 1.24s/step] Training: 83%|████████▎ | 57917/70000 [20:30:28<4:14:46, 1.27s/step] Training: 83%|████████▎ | 57918/70000 [20:30:29<4:18:08, 1.28s/step] Training: 83%|████████▎ | 57919/70000 [20:30:30<4:12:26, 1.25s/step] Training: 83%|████████▎ | 57920/70000 [20:30:32<4:20:24, 1.29s/step] Training: 83%|████████▎ | 57921/70000 [20:30:33<4:14:48, 1.27s/step] Training: 83%|████████▎ | 57922/70000 [20:30:34<4:18:18, 1.28s/step] Training: 83%|████████▎ | 57923/70000 [20:30:35<4:22:59, 1.31s/step] Training: 83%|████████▎ | 57924/70000 [20:30:37<4:15:47, 1.27s/step] Training: 83%|████████▎ | 57925/70000 [20:30:38<4:21:09, 1.30s/step] Training: 83%|████████▎ | 57926/70000 [20:30:39<4:22:03, 1.30s/step] Training: 83%|████████▎ | 57927/70000 [20:30:41<4:15:13, 1.27s/step] Training: 83%|████████▎ | 57928/70000 [20:30:42<4:19:12, 1.29s/step] Training: 83%|████████▎ | 57929/70000 [20:30:43<4:23:11, 1.31s/step] Training: 83%|████████▎ | 57930/70000 [20:30:44<4:16:19, 1.27s/step] Training: 83%|████████▎ | 57931/70000 [20:30:46<4:12:21, 1.25s/step] Training: 83%|████████▎ | 57932/70000 [20:30:47<4:08:21, 1.23s/step] Training: 83%|████████▎ | 57933/70000 [20:30:48<4:05:30, 1.22s/step] Training: 83%|████████▎ | 57934/70000 [20:30:49<4:19:27, 1.29s/step] Training: 83%|████████▎ | 57935/70000 [20:30:51<4:13:25, 1.26s/step] Training: 83%|████████▎ | 57936/70000 [20:30:52<4:17:42, 1.28s/step] Training: 83%|████████▎ | 57937/70000 [20:30:53<4:12:55, 1.26s/step] Training: 83%|████████▎ | 57938/70000 [20:30:54<4:08:56, 1.24s/step] Training: 83%|████████▎ | 57939/70000 [20:30:56<4:14:59, 1.27s/step] Training: 83%|████████▎ | 57940/70000 [20:30:57<4:10:13, 1.24s/step] Training: 83%|████████▎ | 57941/70000 [20:30:58<4:06:51, 1.23s/step] Training: 83%|████████▎ | 57942/70000 [20:30:59<4:13:49, 1.26s/step] Training: 83%|████████▎ | 57943/70000 [20:31:01<4:08:48, 1.24s/step] Training: 83%|████████▎ | 57944/70000 [20:31:02<4:14:38, 1.27s/step] Training: 83%|████████▎ | 57945/70000 [20:31:03<4:13:01, 1.26s/step] Training: 83%|████████▎ | 57946/70000 [20:31:04<4:08:52, 1.24s/step] Training: 83%|████████▎ | 57947/70000 [20:31:06<4:14:11, 1.27s/step] Training: 83%|████████▎ | 57948/70000 [20:31:07<4:17:00, 1.28s/step] Training: 83%|████████▎ | 57949/70000 [20:31:08<4:11:24, 1.25s/step] Training: 83%|████████▎ | 57950/70000 [20:31:10<4:16:32, 1.28s/step] Training: 83%|████████▎ | 57951/70000 [20:31:11<4:11:02, 1.25s/step] Training: 83%|████████▎ | 57952/70000 [20:31:12<4:18:59, 1.29s/step] Training: 83%|████████▎ | 57953/70000 [20:31:13<4:12:54, 1.26s/step] Training: 83%|████████▎ | 57954/70000 [20:31:15<4:16:55, 1.28s/step] Training: 83%|████████▎ | 57955/70000 [20:31:16<4:20:30, 1.30s/step] Training: 83%|████████▎ | 57956/70000 [20:31:17<4:20:47, 1.30s/step] Training: 83%|████████▎ | 57957/70000 [20:31:18<4:14:01, 1.27s/step] Training: 83%|████████▎ | 57958/70000 [20:31:20<4:20:13, 1.30s/step] Training: 83%|████████▎ | 57959/70000 [20:31:21<4:13:47, 1.26s/step] Training: 83%|████████▎ | 57960/70000 [20:31:22<4:17:33, 1.28s/step] Training: 83%|████████▎ | 57961/70000 [20:31:24<4:21:03, 1.30s/step] Training: 83%|████████▎ | 57962/70000 [20:31:25<4:14:28, 1.27s/step] Training: 83%|████████▎ | 57963/70000 [20:31:26<4:11:36, 1.25s/step] Training: 83%|████████▎ | 57964/70000 [20:31:27<4:07:53, 1.24s/step] Training: 83%|████████▎ | 57965/70000 [20:31:28<4:05:17, 1.22s/step] Training: 83%|████████▎ | 57966/70000 [20:31:30<4:11:59, 1.26s/step] Training: 83%|████████▎ | 57967/70000 [20:31:31<4:08:32, 1.24s/step] Training: 83%|████████▎ | 57968/70000 [20:31:32<4:14:29, 1.27s/step] Training: 83%|████████▎ | 57969/70000 [20:31:34<4:10:19, 1.25s/step] Training: 83%|████████▎ | 57970/70000 [20:31:35<4:06:44, 1.23s/step] Training: 83%|████████▎ | 57971/70000 [20:31:36<4:12:17, 1.26s/step] Training: 83%|████████▎ | 57972/70000 [20:31:37<4:15:24, 1.27s/step] Training: 83%|████████▎ | 57973/70000 [20:31:39<4:10:04, 1.25s/step] Training: 83%|████████▎ | 57974/70000 [20:31:40<4:08:01, 1.24s/step] Training: 83%|████████▎ | 57975/70000 [20:31:41<4:14:51, 1.27s/step] Training: 83%|████████▎ | 57976/70000 [20:31:42<4:18:01, 1.29s/step] Training: 83%|████████▎ | 57977/70000 [20:31:44<4:20:13, 1.30s/step] Training: 83%|████████▎ | 57978/70000 [20:31:45<4:13:36, 1.27s/step] Training: 83%|████████▎ | 57979/70000 [20:31:46<4:17:21, 1.28s/step] Training: 83%|████████▎ | 57980/70000 [20:31:48<4:19:57, 1.30s/step] Training: 83%|████████▎ | 57981/70000 [20:31:49<4:13:24, 1.27s/step] Training: 83%|████████▎ | 57982/70000 [20:31:50<4:17:34, 1.29s/step] Training: 83%|████████▎ | 57983/70000 [20:31:51<4:15:47, 1.28s/step] Training: 83%|████████▎ | 57984/70000 [20:31:53<4:22:04, 1.31s/step] Training: 83%|████████▎ | 57985/70000 [20:31:54<4:23:12, 1.31s/step] Training: 83%|████████▎ | 57986/70000 [20:31:55<4:22:13, 1.31s/step] Training: 83%|████████▎ | 57987/70000 [20:31:57<4:23:18, 1.32s/step] Training: 83%|████████▎ | 57988/70000 [20:31:58<4:16:50, 1.28s/step] Training: 83%|████████▎ | 57989/70000 [20:31:59<4:11:12, 1.25s/step] Training: 83%|████████▎ | 57990/70000 [20:32:00<4:15:28, 1.28s/step] Training: 83%|████████▎ | 57991/70000 [20:32:02<4:10:04, 1.25s/step] Training: 83%|████████▎ | 57992/70000 [20:32:03<4:22:35, 1.31s/step] Training: 83%|████████▎ | 57993/70000 [20:32:04<4:23:39, 1.32s/step] Training: 83%|████████▎ | 57994/70000 [20:32:06<4:15:57, 1.28s/step] Training: 83%|████████▎ | 57995/70000 [20:32:07<4:11:31, 1.26s/step] Training: 83%|████████▎ | 57996/70000 [20:32:08<4:15:49, 1.28s/step] Training: 83%|████████▎ | 57997/70000 [20:32:09<4:10:14, 1.25s/step] Training: 83%|████████▎ | 57998/70000 [20:32:11<4:15:24, 1.28s/step] Training: 83%|████████▎ | 57999/70000 [20:32:12<4:20:06, 1.30s/step] Training: 83%|████████▎ | 58000/70000 [20:32:13<4:21:34, 1.31s/step]INFO 2026-03-13 16:42:05 ot_train.py:435 step:58K smpl:4M ep:13K epch:49.16 loss:0.008 grdn:0.766 lr:2.7e-06 updt_s:1.249 data_s:0.019 Training: 83%|████████▎ | 58001/70000 [20:32:15<4:15:15, 1.28s/step] Training: 83%|████████▎ | 58002/70000 [20:32:16<4:09:59, 1.25s/step] Training: 83%|████████▎ | 58003/70000 [20:32:17<4:14:28, 1.27s/step] Training: 83%|████████▎ | 58004/70000 [20:32:18<4:18:03, 1.29s/step] Training: 83%|████████▎ | 58005/70000 [20:32:20<4:12:11, 1.26s/step] Training: 83%|████████▎ | 58006/70000 [20:32:21<4:09:10, 1.25s/step] Training: 83%|████████▎ | 58007/70000 [20:32:22<4:05:44, 1.23s/step] Training: 83%|████████▎ | 58008/70000 [20:32:23<4:18:34, 1.29s/step] Training: 83%|████████▎ | 58009/70000 [20:32:25<4:14:43, 1.27s/step] Training: 83%|████████▎ | 58010/70000 [20:32:26<4:09:39, 1.25s/step] Training: 83%|████████▎ | 58011/70000 [20:32:27<4:13:45, 1.27s/step] Training: 83%|████████▎ | 58012/70000 [20:32:28<4:17:15, 1.29s/step] Training: 83%|████████▎ | 58013/70000 [20:32:30<4:11:23, 1.26s/step] Training: 83%|████████▎ | 58014/70000 [20:32:31<4:16:02, 1.28s/step] Training: 83%|████████▎ | 58015/70000 [20:32:32<4:10:24, 1.25s/step] Training: 83%|████████▎ | 58016/70000 [20:32:34<4:23:02, 1.32s/step] Training: 83%|████████▎ | 58017/70000 [20:32:35<4:15:28, 1.28s/step] Training: 83%|████████▎ | 58018/70000 [20:32:36<4:18:29, 1.29s/step] Training: 83%|████████▎ | 58019/70000 [20:32:37<4:14:03, 1.27s/step] Training: 83%|████████▎ | 58020/70000 [20:32:39<4:10:18, 1.25s/step] Training: 83%|████████▎ | 58021/70000 [20:32:40<4:06:21, 1.23s/step] Training: 83%|████████▎ | 58022/70000 [20:32:41<4:11:56, 1.26s/step] Training: 83%|████████▎ | 58023/70000 [20:32:42<4:07:26, 1.24s/step] Training: 83%|████████▎ | 58024/70000 [20:32:44<4:13:05, 1.27s/step] Training: 83%|████████▎ | 58025/70000 [20:32:45<4:08:17, 1.24s/step] Training: 83%|████████▎ | 58026/70000 [20:32:46<4:05:00, 1.23s/step] Training: 83%|████████▎ | 58027/70000 [20:32:47<4:04:20, 1.22s/step] Training: 83%|████████▎ | 58028/70000 [20:32:49<4:10:52, 1.26s/step] Training: 83%|████████▎ | 58029/70000 [20:32:50<4:06:41, 1.24s/step] Training: 83%|████████▎ | 58030/70000 [20:32:51<4:12:33, 1.27s/step] Training: 83%|████████▎ | 58031/70000 [20:32:52<4:07:55, 1.24s/step] Training: 83%|████████▎ | 58032/70000 [20:32:54<4:17:12, 1.29s/step] Training: 83%|████████▎ | 58033/70000 [20:32:55<4:14:11, 1.27s/step] Training: 83%|████████▎ | 58034/70000 [20:32:56<4:08:58, 1.25s/step] Training: 83%|████████▎ | 58035/70000 [20:32:57<4:13:18, 1.27s/step] Training: 83%|████████▎ | 58036/70000 [20:32:59<4:16:30, 1.29s/step] Training: 83%|████████▎ | 58037/70000 [20:33:00<4:10:51, 1.26s/step] Training: 83%|████████▎ | 58038/70000 [20:33:01<4:07:54, 1.24s/step] Training: 83%|████████▎ | 58039/70000 [20:33:02<4:04:35, 1.23s/step] Training: 83%|████████▎ | 58040/70000 [20:33:04<4:13:59, 1.27s/step] Training: 83%|████████▎ | 58041/70000 [20:33:05<4:11:04, 1.26s/step] Training: 83%|████████▎ | 58042/70000 [20:33:06<4:07:08, 1.24s/step] Training: 83%|████████▎ | 58043/70000 [20:33:07<4:12:17, 1.27s/step] Training: 83%|████████▎ | 58044/70000 [20:33:09<4:16:46, 1.29s/step] Training: 83%|████████▎ | 58045/70000 [20:33:10<4:11:01, 1.26s/step] Training: 83%|████████▎ | 58046/70000 [20:33:11<4:14:47, 1.28s/step] Training: 83%|████████▎ | 58047/70000 [20:33:13<4:09:23, 1.25s/step] Training: 83%|████████▎ | 58048/70000 [20:33:14<4:16:17, 1.29s/step] Training: 83%|████████▎ | 58049/70000 [20:33:15<4:26:24, 1.34s/step] Training: 83%|████████▎ | 58050/70000 [20:33:17<4:17:31, 1.29s/step] Training: 83%|████████▎ | 58051/70000 [20:33:18<4:13:27, 1.27s/step] Training: 83%|████████▎ | 58052/70000 [20:33:19<4:09:56, 1.26s/step] Training: 83%|████████▎ | 58053/70000 [20:33:20<4:05:58, 1.24s/step] Training: 83%|████████▎ | 58054/70000 [20:33:22<4:11:47, 1.26s/step] Training: 83%|████████▎ | 58055/70000 [20:33:23<4:07:19, 1.24s/step] Training: 83%|████████▎ | 58056/70000 [20:33:24<4:12:38, 1.27s/step] Training: 83%|████████▎ | 58057/70000 [20:33:25<4:20:57, 1.31s/step] Training: 83%|████████▎ | 58058/70000 [20:33:27<4:13:31, 1.27s/step] Training: 83%|████████▎ | 58059/70000 [20:33:28<4:09:23, 1.25s/step] Training: 83%|████████▎ | 58060/70000 [20:33:29<4:13:34, 1.27s/step] Training: 83%|████████▎ | 58061/70000 [20:33:30<4:08:32, 1.25s/step] Training: 83%|████████▎ | 58062/70000 [20:33:32<4:12:29, 1.27s/step] Training: 83%|████████▎ | 58063/70000 [20:33:33<4:07:48, 1.25s/step] Training: 83%|████████▎ | 58064/70000 [20:33:34<4:13:02, 1.27s/step] Training: 83%|████████▎ | 58065/70000 [20:33:35<4:10:51, 1.26s/step] Training: 83%|████████▎ | 58066/70000 [20:33:37<4:15:24, 1.28s/step] Training: 83%|████████▎ | 58067/70000 [20:33:38<4:16:54, 1.29s/step] Training: 83%|████████▎ | 58068/70000 [20:33:39<4:20:00, 1.31s/step] Training: 83%|████████▎ | 58069/70000 [20:33:41<4:12:53, 1.27s/step] Training: 83%|████████▎ | 58070/70000 [20:33:42<4:09:19, 1.25s/step] Training: 83%|████████▎ | 58071/70000 [20:33:43<4:05:21, 1.23s/step] Training: 83%|████████▎ | 58072/70000 [20:33:44<4:19:47, 1.31s/step] Training: 83%|████████▎ | 58073/70000 [20:33:46<4:23:29, 1.33s/step] Training: 83%|████████▎ | 58074/70000 [20:33:47<4:14:38, 1.28s/step] Training: 83%|████████▎ | 58075/70000 [20:33:48<4:09:08, 1.25s/step] Training: 83%|████████▎ | 58076/70000 [20:33:50<4:19:52, 1.31s/step] Training: 83%|████████▎ | 58077/70000 [20:33:51<4:12:40, 1.27s/step] Training: 83%|████████▎ | 58078/70000 [20:33:52<4:16:26, 1.29s/step] Training: 83%|████████▎ | 58079/70000 [20:33:53<4:10:42, 1.26s/step] Training: 83%|████████▎ | 58080/70000 [20:33:55<4:15:09, 1.28s/step] Training: 83%|████████▎ | 58081/70000 [20:33:56<4:18:06, 1.30s/step] Training: 83%|████████▎ | 58082/70000 [20:33:57<4:20:43, 1.31s/step] Training: 83%|████████▎ | 58083/70000 [20:33:59<4:12:55, 1.27s/step] Training: 83%|████████▎ | 58084/70000 [20:34:00<4:14:09, 1.28s/step] Training: 83%|████████▎ | 58085/70000 [20:34:01<4:09:06, 1.25s/step] Training: 83%|████████▎ | 58086/70000 [20:34:02<4:14:14, 1.28s/step] Training: 83%|████████▎ | 58087/70000 [20:34:04<4:08:47, 1.25s/step] Training: 83%|████████▎ | 58088/70000 [20:34:05<4:13:16, 1.28s/step] Training: 83%|████████▎ | 58089/70000 [20:34:06<4:16:35, 1.29s/step] Training: 83%|████████▎ | 58090/70000 [20:34:08<4:19:57, 1.31s/step] Training: 83%|████████▎ | 58091/70000 [20:34:09<4:12:19, 1.27s/step] Training: 83%|████████▎ | 58092/70000 [20:34:10<4:15:56, 1.29s/step] Training: 83%|████████▎ | 58093/70000 [20:34:11<4:09:47, 1.26s/step] Training: 83%|████████▎ | 58094/70000 [20:34:13<4:13:56, 1.28s/step] Training: 83%|████████▎ | 58095/70000 [20:34:14<4:08:56, 1.25s/step] Training: 83%|████████▎ | 58096/70000 [20:34:15<4:13:14, 1.28s/step] Training: 83%|████████▎ | 58097/70000 [20:34:16<4:09:20, 1.26s/step] Training: 83%|████████▎ | 58098/70000 [20:34:18<4:05:47, 1.24s/step] Training: 83%|████████▎ | 58099/70000 [20:34:19<4:02:41, 1.22s/step] Training: 83%|████████▎ | 58100/70000 [20:34:20<4:14:12, 1.28s/step]INFO 2026-03-13 16:44:12 ot_train.py:435 step:58K smpl:4M ep:13K epch:49.25 loss:0.007 grdn:0.597 lr:2.7e-06 updt_s:1.247 data_s:0.019 Training: 83%|████████▎ | 58101/70000 [20:34:21<4:08:39, 1.25s/step] Training: 83%|████████▎ | 58102/70000 [20:34:23<4:06:30, 1.24s/step] Training: 83%|████████▎ | 58103/70000 [20:34:24<4:03:24, 1.23s/step] Training: 83%|████████▎ | 58104/70000 [20:34:25<4:12:13, 1.27s/step] Training: 83%|████████▎ | 58105/70000 [20:34:26<4:09:31, 1.26s/step] Training: 83%|████████▎ | 58106/70000 [20:34:28<4:08:49, 1.26s/step] Training: 83%|████████▎ | 58107/70000 [20:34:29<4:04:57, 1.24s/step] Training: 83%|████████▎ | 58108/70000 [20:34:30<4:04:20, 1.23s/step] Training: 83%|████████▎ | 58109/70000 [20:34:31<4:01:50, 1.22s/step] Training: 83%|████████▎ | 58110/70000 [20:34:33<4:07:55, 1.25s/step] Training: 83%|████████▎ | 58111/70000 [20:34:34<4:04:29, 1.23s/step] Training: 83%|████████▎ | 58112/70000 [20:34:35<4:10:38, 1.26s/step] Training: 83%|████████▎ | 58113/70000 [20:34:36<4:06:27, 1.24s/step] Training: 83%|████████▎ | 58114/70000 [20:34:38<4:11:35, 1.27s/step] Training: 83%|████████▎ | 58115/70000 [20:34:39<4:07:10, 1.25s/step] Training: 83%|████████▎ | 58116/70000 [20:34:40<4:05:24, 1.24s/step] Training: 83%|████████▎ | 58117/70000 [20:34:41<4:02:28, 1.22s/step] Training: 83%|████████▎ | 58118/70000 [20:34:43<4:08:50, 1.26s/step] Training: 83%|████████▎ | 58119/70000 [20:34:44<4:04:57, 1.24s/step] Training: 83%|████████▎ | 58120/70000 [20:34:45<4:11:07, 1.27s/step] Training: 83%|████████▎ | 58121/70000 [20:34:46<4:15:43, 1.29s/step] Training: 83%|████████▎ | 58122/70000 [20:34:48<4:09:52, 1.26s/step] Training: 83%|████████▎ | 58123/70000 [20:34:49<4:15:24, 1.29s/step] Training: 83%|████████▎ | 58124/70000 [20:34:50<4:16:58, 1.30s/step] Training: 83%|████████▎ | 58125/70000 [20:34:51<4:10:44, 1.27s/step] Training: 83%|████████▎ | 58126/70000 [20:34:53<4:13:56, 1.28s/step] Training: 83%|████████▎ | 58127/70000 [20:34:54<4:08:21, 1.26s/step] Training: 83%|████████▎ | 58128/70000 [20:34:55<4:13:34, 1.28s/step] Training: 83%|████████▎ | 58129/70000 [20:34:57<4:10:05, 1.26s/step] Training: 83%|████████▎ | 58130/70000 [20:34:58<4:05:32, 1.24s/step] Training: 83%|████████▎ | 58131/70000 [20:34:59<4:07:51, 1.25s/step] Training: 83%|████████▎ | 58132/70000 [20:35:00<4:12:35, 1.28s/step] Training: 83%|████████▎ | 58133/70000 [20:35:02<4:07:25, 1.25s/step] Training: 83%|████████▎ | 58134/70000 [20:35:03<4:04:44, 1.24s/step] Training: 83%|████████▎ | 58135/70000 [20:35:04<4:01:49, 1.22s/step] Training: 83%|████████▎ | 58136/70000 [20:35:05<4:10:53, 1.27s/step] Training: 83%|████████▎ | 58137/70000 [20:35:07<4:09:50, 1.26s/step] Training: 83%|████████▎ | 58138/70000 [20:35:08<4:05:55, 1.24s/step] Training: 83%|████████▎ | 58139/70000 [20:35:09<4:12:23, 1.28s/step] Training: 83%|████████▎ | 58140/70000 [20:35:10<4:06:35, 1.25s/step] Training: 83%|████████▎ | 58141/70000 [20:35:11<4:03:12, 1.23s/step] Training: 83%|████████▎ | 58142/70000 [20:35:13<4:09:21, 1.26s/step] Training: 83%|████████▎ | 58143/70000 [20:35:14<4:05:06, 1.24s/step] Training: 83%|████████▎ | 58144/70000 [20:35:15<4:10:39, 1.27s/step] Training: 83%|████████▎ | 58145/70000 [20:35:17<4:13:54, 1.29s/step] Training: 83%|████████▎ | 58146/70000 [20:35:18<4:14:12, 1.29s/step] Training: 83%|████████▎ | 58147/70000 [20:35:19<4:19:01, 1.31s/step] Training: 83%|████████▎ | 58148/70000 [20:35:21<4:12:15, 1.28s/step] Training: 83%|████████▎ | 58149/70000 [20:35:22<4:07:13, 1.25s/step] Training: 83%|████████▎ | 58150/70000 [20:35:23<4:11:25, 1.27s/step] Training: 83%|████████▎ | 58151/70000 [20:35:24<4:06:29, 1.25s/step] Training: 83%|████████▎ | 58152/70000 [20:35:26<4:11:51, 1.28s/step] Training: 83%|████████▎ | 58153/70000 [20:35:27<4:21:32, 1.32s/step] Training: 83%|████████▎ | 58154/70000 [20:35:28<4:13:49, 1.29s/step] Training: 83%|████████▎ | 58155/70000 [20:35:29<4:08:05, 1.26s/step] Training: 83%|████████▎ | 58156/70000 [20:35:31<4:20:05, 1.32s/step] Training: 83%|████████▎ | 58157/70000 [20:35:32<4:12:29, 1.28s/step] Training: 83%|████████▎ | 58158/70000 [20:35:33<4:15:32, 1.29s/step] Training: 83%|████████▎ | 58159/70000 [20:35:35<4:09:20, 1.26s/step] Training: 83%|████████▎ | 58160/70000 [20:35:36<4:06:01, 1.25s/step] Training: 83%|████████▎ | 58161/70000 [20:35:37<4:10:51, 1.27s/step] Training: 83%|████████▎ | 58162/70000 [20:35:38<4:06:08, 1.25s/step] Training: 83%|████████▎ | 58163/70000 [20:35:39<4:03:16, 1.23s/step] Training: 83%|████████▎ | 58164/70000 [20:35:41<4:15:25, 1.29s/step] Training: 83%|████████▎ | 58165/70000 [20:35:42<4:09:14, 1.26s/step] Training: 83%|████████▎ | 58166/70000 [20:35:43<4:06:05, 1.25s/step] Training: 83%|████████▎ | 58167/70000 [20:35:45<4:02:45, 1.23s/step] Training: 83%|████████▎ | 58168/70000 [20:35:46<4:08:44, 1.26s/step] Training: 83%|████████▎ | 58169/70000 [20:35:47<4:17:55, 1.31s/step] Training: 83%|████████▎ | 58170/70000 [20:35:48<4:10:54, 1.27s/step] Training: 83%|████████▎ | 58171/70000 [20:35:50<4:05:50, 1.25s/step] Training: 83%|████████▎ | 58172/70000 [20:35:51<4:04:48, 1.24s/step] Training: 83%|████████▎ | 58173/70000 [20:35:52<4:01:42, 1.23s/step] Training: 83%|████████▎ | 58174/70000 [20:35:53<4:08:01, 1.26s/step] Training: 83%|████████▎ | 58175/70000 [20:35:55<4:03:56, 1.24s/step] Training: 83%|████████▎ | 58176/70000 [20:35:56<4:09:17, 1.27s/step] Training: 83%|████████▎ | 58177/70000 [20:35:57<4:05:57, 1.25s/step] Training: 83%|████████▎ | 58178/70000 [20:35:58<4:10:40, 1.27s/step] Training: 83%|████████▎ | 58179/70000 [20:36:00<4:06:06, 1.25s/step] Training: 83%|████████▎ | 58180/70000 [20:36:01<4:12:29, 1.28s/step] Training: 83%|████████▎ | 58181/70000 [20:36:02<4:06:30, 1.25s/step] Training: 83%|████████▎ | 58182/70000 [20:36:04<4:11:09, 1.28s/step] Training: 83%|████████▎ | 58183/70000 [20:36:05<4:06:04, 1.25s/step] Training: 83%|████████▎ | 58184/70000 [20:36:06<4:10:20, 1.27s/step] Training: 83%|████████▎ | 58185/70000 [20:36:07<4:13:46, 1.29s/step] Training: 83%|████████▎ | 58186/70000 [20:36:09<4:16:22, 1.30s/step] Training: 83%|████████▎ | 58187/70000 [20:36:10<4:09:47, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=27708 [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=27708 Training: 83%|████████▎ | 58188/70000 [20:36:11<4:13:05, 1.29s/step] Training: 83%|████████▎ | 58189/70000 [20:36:12<4:07:27, 1.26s/step] Training: 83%|████████▎ | 58190/70000 [20:36:14<4:12:05, 1.28s/step] Training: 83%|████████▎ | 58191/70000 [20:36:15<4:06:43, 1.25s/step] Training: 83%|████████▎ | 58192/70000 [20:36:16<4:04:29, 1.24s/step] Training: 83%|████████▎ | 58193/70000 [20:36:18<4:12:32, 1.28s/step] Training: 83%|████████▎ | 58194/70000 [20:36:19<4:13:44, 1.29s/step] Training: 83%|████████▎ | 58195/70000 [20:36:20<4:07:52, 1.26s/step] Training: 83%|████████▎ | 58196/70000 [20:36:21<4:12:12, 1.28s/step] Training: 83%|████████▎ | 58197/70000 [20:36:23<4:15:07, 1.30s/step] Training: 83%|████████▎ | 58198/70000 [20:36:24<4:09:27, 1.27s/step] Training: 83%|████████▎ | 58199/70000 [20:36:25<4:04:52, 1.25s/step] Training: 83%|████████▎ | 58200/70000 [20:36:26<4:10:19, 1.27s/step]INFO 2026-03-13 16:46:19 ot_train.py:435 step:58K smpl:4M ep:13K epch:49.33 loss:0.007 grdn:0.789 lr:2.7e-06 updt_s:1.241 data_s:0.019 Training: 83%|████████▎ | 58201/70000 [20:36:28<4:13:12, 1.29s/step] Training: 83%|████████▎ | 58202/70000 [20:36:29<4:07:23, 1.26s/step] Training: 83%|████████▎ | 58203/70000 [20:36:30<4:03:26, 1.24s/step] Training: 83%|████████▎ | 58204/70000 [20:36:31<4:03:05, 1.24s/step] Training: 83%|████████▎ | 58205/70000 [20:36:33<4:06:55, 1.26s/step] Training: 83%|████████▎ | 58206/70000 [20:36:34<4:10:28, 1.27s/step] Training: 83%|████████▎ | 58207/70000 [20:36:35<4:05:36, 1.25s/step] Training: 83%|████████▎ | 58208/70000 [20:36:36<4:10:15, 1.27s/step] Training: 83%|████████▎ | 58209/70000 [20:36:38<4:13:48, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=55534 Training: 83%|████████▎ | 58210/70000 [20:36:39<4:07:39, 1.26s/step] Training: 83%|████████▎ | 58211/70000 [20:36:40<4:03:20, 1.24s/step] Training: 83%|████████▎ | 58212/70000 [20:36:41<4:02:56, 1.24s/step] Training: 83%|████████▎ | 58213/70000 [20:36:43<4:10:05, 1.27s/step] Training: 83%|████████▎ | 58214/70000 [20:36:44<4:13:17, 1.29s/step] Training: 83%|████████▎ | 58215/70000 [20:36:45<4:07:26, 1.26s/step] Training: 83%|████████▎ | 58216/70000 [20:36:47<4:11:49, 1.28s/step] Training: 83%|████████▎ | 58217/70000 [20:36:48<4:15:02, 1.30s/step] Training: 83%|████████▎ | 58218/70000 [20:36:49<4:12:21, 1.29s/step] Training: 83%|████████▎ | 58219/70000 [20:36:50<4:06:35, 1.26s/step] Training: 83%|████████▎ | 58220/70000 [20:36:52<4:11:09, 1.28s/step] Training: 83%|████████▎ | 58221/70000 [20:36:53<4:05:54, 1.25s/step] Training: 83%|████████▎ | 58222/70000 [20:36:54<4:15:25, 1.30s/step] Training: 83%|████████▎ | 58223/70000 [20:36:56<4:08:45, 1.27s/step] Training: 83%|████████▎ | 58224/70000 [20:36:57<4:05:25, 1.25s/step] Training: 83%|████████▎ | 58225/70000 [20:36:58<4:12:58, 1.29s/step] Training: 83%|████████▎ | 58226/70000 [20:36:59<4:08:41, 1.27s/step] Training: 83%|████████▎ | 58227/70000 [20:37:01<4:04:34, 1.25s/step] Training: 83%|████████▎ | 58228/70000 [20:37:02<4:09:18, 1.27s/step] Training: 83%|████████▎ | 58229/70000 [20:37:03<4:04:46, 1.25s/step] Training: 83%|████████▎ | 58230/70000 [20:37:04<4:11:04, 1.28s/step] Training: 83%|████████▎ | 58231/70000 [20:37:06<4:05:14, 1.25s/step] Training: 83%|████████▎ | 58232/70000 [20:37:07<4:09:53, 1.27s/step] Training: 83%|████████▎ | 58233/70000 [20:37:08<4:14:13, 1.30s/step] Training: 83%|████████▎ | 58234/70000 [20:37:10<4:15:57, 1.31s/step] Training: 83%|████████▎ | 58235/70000 [20:37:11<4:09:18, 1.27s/step] Training: 83%|████████▎ | 58236/70000 [20:37:12<4:06:58, 1.26s/step] Training: 83%|████████▎ | 58237/70000 [20:37:13<4:03:10, 1.24s/step] Training: 83%|████████▎ | 58238/70000 [20:37:15<4:08:54, 1.27s/step] Training: 83%|████████▎ | 58239/70000 [20:37:16<4:04:08, 1.25s/step] Training: 83%|████████▎ | 58240/70000 [20:37:17<4:09:06, 1.27s/step] Training: 83%|████████▎ | 58241/70000 [20:37:18<4:12:29, 1.29s/step] Training: 83%|████████▎ | 58242/70000 [20:37:20<4:14:44, 1.30s/step] Training: 83%|████████▎ | 58243/70000 [20:37:21<4:08:21, 1.27s/step] Training: 83%|████████▎ | 58244/70000 [20:37:22<4:05:52, 1.25s/step] Training: 83%|████████▎ | 58245/70000 [20:37:23<4:02:27, 1.24s/step] Training: 83%|████████▎ | 58246/70000 [20:37:25<4:09:24, 1.27s/step] Training: 83%|████████▎ | 58247/70000 [20:37:26<4:04:33, 1.25s/step] Training: 83%|████████▎ | 58248/70000 [20:37:27<4:09:19, 1.27s/step] Training: 83%|████████▎ | 58249/70000 [20:37:29<4:13:01, 1.29s/step] Training: 83%|████████▎ | 58250/70000 [20:37:30<4:09:34, 1.27s/step] Training: 83%|████████▎ | 58251/70000 [20:37:31<4:04:31, 1.25s/step] Training: 83%|████████▎ | 58252/70000 [20:37:32<4:09:05, 1.27s/step] Training: 83%|████████▎ | 58253/70000 [20:37:34<4:04:11, 1.25s/step] Training: 83%|████████▎ | 58254/70000 [20:37:35<4:08:34, 1.27s/step] Training: 83%|████████▎ | 58255/70000 [20:37:36<4:03:55, 1.25s/step] Training: 83%|████████▎ | 58256/70000 [20:37:37<4:01:35, 1.23s/step] Training: 83%|████████▎ | 58257/70000 [20:37:39<4:09:42, 1.28s/step] Training: 83%|████████▎ | 58258/70000 [20:37:40<4:06:28, 1.26s/step] Training: 83%|████████▎ | 58259/70000 [20:37:41<4:02:33, 1.24s/step] Training: 83%|████████▎ | 58260/70000 [20:37:42<4:08:10, 1.27s/step] Training: 83%|████████▎ | 58261/70000 [20:37:44<4:03:25, 1.24s/step] Training: 83%|████████▎ | 58262/70000 [20:37:45<4:01:05, 1.23s/step] Training: 83%|████████▎ | 58263/70000 [20:37:46<4:07:40, 1.27s/step] Training: 83%|████████▎ | 58264/70000 [20:37:47<4:10:35, 1.28s/step] Training: 83%|████████▎ | 58265/70000 [20:37:49<4:13:32, 1.30s/step] Training: 83%|████████▎ | 58266/70000 [20:37:50<4:15:15, 1.31s/step] Training: 83%|████████▎ | 58267/70000 [20:37:51<4:08:28, 1.27s/step] Training: 83%|████████▎ | 58268/70000 [20:37:52<4:05:41, 1.26s/step] Training: 83%|████████▎ | 58269/70000 [20:37:54<4:01:42, 1.24s/step] Training: 83%|████████▎ | 58270/70000 [20:37:55<4:07:14, 1.26s/step] Training: 83%|████████▎ | 58271/70000 [20:37:56<4:07:16, 1.26s/step] Training: 83%|████████▎ | 58272/70000 [20:37:58<4:11:41, 1.29s/step] Training: 83%|████████▎ | 58273/70000 [20:37:59<4:14:44, 1.30s/step] Training: 83%|████████▎ | 58274/70000 [20:38:00<4:15:49, 1.31s/step] Training: 83%|████████▎ | 58275/70000 [20:38:01<4:08:52, 1.27s/step] Training: 83%|████████▎ | 58276/70000 [20:38:03<4:05:26, 1.26s/step] Training: 83%|████████▎ | 58277/70000 [20:38:04<4:01:34, 1.24s/step] Training: 83%|████████▎ | 58278/70000 [20:38:05<4:06:49, 1.26s/step] Training: 83%|████████▎ | 58279/70000 [20:38:06<4:02:30, 1.24s/step] Training: 83%|████████▎ | 58280/70000 [20:38:08<4:13:34, 1.30s/step] Training: 83%|████████▎ | 58281/70000 [20:38:09<4:15:39, 1.31s/step] Training: 83%|████████▎ | 58282/70000 [20:38:10<4:11:12, 1.29s/step] Training: 83%|████████▎ | 58283/70000 [20:38:12<4:05:47, 1.26s/step] Training: 83%|████████▎ | 58284/70000 [20:38:13<4:09:52, 1.28s/step] Training: 83%|████████▎ | 58285/70000 [20:38:14<4:11:49, 1.29s/step] Training: 83%|████████▎ | 58286/70000 [20:38:16<4:13:21, 1.30s/step] Training: 83%|████████▎ | 58287/70000 [20:38:17<4:16:29, 1.31s/step] Training: 83%|████████▎ | 58288/70000 [20:38:18<4:09:50, 1.28s/step] Training: 83%|████████▎ | 58289/70000 [20:38:19<4:16:15, 1.31s/step] Training: 83%|████████▎ | 58290/70000 [20:38:21<4:09:26, 1.28s/step] Training: 83%|████████▎ | 58291/70000 [20:38:22<4:04:16, 1.25s/step] Training: 83%|████████▎ | 58292/70000 [20:38:23<4:08:50, 1.28s/step] Training: 83%|████████▎ | 58293/70000 [20:38:24<4:07:12, 1.27s/step] Training: 83%|████████▎ | 58294/70000 [20:38:26<4:04:01, 1.25s/step] Training: 83%|████████▎ | 58295/70000 [20:38:27<4:00:20, 1.23s/step] Training: 83%|████████▎ | 58296/70000 [20:38:28<4:12:44, 1.30s/step] Training: 83%|████████▎ | 58297/70000 [20:38:30<4:14:33, 1.31s/step] Training: 83%|████████▎ | 58298/70000 [20:38:31<4:15:53, 1.31s/step] Training: 83%|████████▎ | 58299/70000 [20:38:32<4:08:45, 1.28s/step] Training: 83%|████████▎ | 58300/70000 [20:38:33<4:05:49, 1.26s/step]INFO 2026-03-13 16:48:25 ot_train.py:435 step:58K smpl:4M ep:13K epch:49.42 loss:0.008 grdn:0.992 lr:2.6e-06 updt_s:1.248 data_s:0.019 Training: 83%|████████▎ | 58301/70000 [20:38:35<4:02:22, 1.24s/step] Training: 83%|████████▎ | 58302/70000 [20:38:36<4:07:07, 1.27s/step] Training: 83%|████████▎ | 58303/70000 [20:38:37<4:02:35, 1.24s/step] Training: 83%|████████▎ | 58304/70000 [20:38:39<4:15:01, 1.31s/step] Training: 83%|████████▎ | 58305/70000 [20:38:40<4:16:28, 1.32s/step] Training: 83%|████████▎ | 58306/70000 [20:38:41<4:09:03, 1.28s/step] Training: 83%|████████▎ | 58307/70000 [20:38:42<4:11:55, 1.29s/step] Training: 83%|████████▎ | 58308/70000 [20:38:44<4:07:01, 1.27s/step] Training: 83%|████████▎ | 58309/70000 [20:38:45<4:10:24, 1.29s/step] Training: 83%|████████▎ | 58310/70000 [20:38:46<4:12:39, 1.30s/step] Training: 83%|████████▎ | 58311/70000 [20:38:47<4:06:39, 1.27s/step] Training: 83%|████████▎ | 58312/70000 [20:38:49<4:10:11, 1.28s/step] Training: 83%|████████▎ | 58313/70000 [20:38:50<4:13:24, 1.30s/step] Training: 83%|████████▎ | 58314/70000 [20:38:51<4:06:50, 1.27s/step] Training: 83%|████████▎ | 58315/70000 [20:38:53<4:09:34, 1.28s/step] Training: 83%|████████▎ | 58316/70000 [20:38:54<4:12:15, 1.30s/step] Training: 83%|████████▎ | 58317/70000 [20:38:55<4:14:17, 1.31s/step] Training: 83%|████████▎ | 58318/70000 [20:38:57<4:15:20, 1.31s/step] Training: 83%|████████▎ | 58319/70000 [20:38:58<4:08:19, 1.28s/step] Training: 83%|████████▎ | 58320/70000 [20:38:59<4:07:38, 1.27s/step] Training: 83%|████████▎ | 58321/70000 [20:39:00<4:13:04, 1.30s/step] Training: 83%|████████▎ | 58322/70000 [20:39:02<4:06:28, 1.27s/step] Training: 83%|████████▎ | 58323/70000 [20:39:03<4:02:02, 1.24s/step] Training: 83%|████████▎ | 58324/70000 [20:39:04<4:07:14, 1.27s/step] Training: 83%|████████▎ | 58325/70000 [20:39:05<4:11:37, 1.29s/step] Training: 83%|████████▎ | 58326/70000 [20:39:07<4:05:50, 1.26s/step] Training: 83%|████████▎ | 58327/70000 [20:39:08<4:01:28, 1.24s/step] Training: 83%|████████▎ | 58328/70000 [20:39:09<4:06:41, 1.27s/step] Training: 83%|████████▎ | 58329/70000 [20:39:11<4:10:34, 1.29s/step] Training: 83%|████████▎ | 58330/70000 [20:39:12<4:04:39, 1.26s/step] Training: 83%|████████▎ | 58331/70000 [20:39:13<4:07:21, 1.27s/step] Training: 83%|████████▎ | 58332/70000 [20:39:14<4:16:13, 1.32s/step] Training: 83%|████████▎ | 58333/70000 [20:39:16<4:10:09, 1.29s/step] Training: 83%|████████▎ | 58334/70000 [20:39:17<4:12:51, 1.30s/step] Training: 83%|████████▎ | 58335/70000 [20:39:18<4:06:24, 1.27s/step] Training: 83%|████████▎ | 58336/70000 [20:39:20<4:10:43, 1.29s/step] Training: 83%|████████▎ | 58337/70000 [20:39:21<4:19:55, 1.34s/step] Training: 83%|████████▎ | 58338/70000 [20:39:22<4:11:16, 1.29s/step] Training: 83%|████████▎ | 58339/70000 [20:39:23<4:13:35, 1.30s/step] Training: 83%|████████▎ | 58340/70000 [20:39:25<4:08:11, 1.28s/step] Training: 83%|████████▎ | 58341/70000 [20:39:26<4:11:16, 1.29s/step] Training: 83%|████████▎ | 58342/70000 [20:39:27<4:13:10, 1.30s/step] Training: 83%|████████▎ | 58343/70000 [20:39:29<4:06:35, 1.27s/step] Training: 83%|████████▎ | 58344/70000 [20:39:30<4:10:58, 1.29s/step] Training: 83%|████████▎ | 58345/70000 [20:39:31<4:18:34, 1.33s/step] Training: 83%|████████▎ | 58346/70000 [20:39:33<4:10:40, 1.29s/step] Training: 83%|████████▎ | 58347/70000 [20:39:34<4:06:10, 1.27s/step] Training: 83%|████████▎ | 58348/70000 [20:39:35<4:01:47, 1.25s/step] Training: 83%|████████▎ | 58349/70000 [20:39:36<4:14:35, 1.31s/step] Training: 83%|████████▎ | 58350/70000 [20:39:38<4:15:18, 1.31s/step] Training: 83%|████████▎ | 58351/70000 [20:39:39<4:08:09, 1.28s/step] Training: 83%|████████▎ | 58352/70000 [20:39:40<4:04:32, 1.26s/step] Training: 83%|████████▎ | 58353/70000 [20:39:41<4:12:04, 1.30s/step] Training: 83%|████████▎ | 58354/70000 [20:39:43<4:05:02, 1.26s/step] Training: 83%|████████▎ | 58355/70000 [20:39:44<4:09:13, 1.28s/step] Training: 83%|████████▎ | 58356/70000 [20:39:45<4:11:36, 1.30s/step] Training: 83%|████████▎ | 58357/70000 [20:39:47<4:13:25, 1.31s/step] Training: 83%|████████▎ | 58358/70000 [20:39:48<4:07:52, 1.28s/step] Training: 83%|████████▎ | 58359/70000 [20:39:49<4:02:44, 1.25s/step] Training: 83%|████████▎ | 58360/70000 [20:39:50<4:08:51, 1.28s/step] Training: 83%|████████▎ | 58361/70000 [20:39:52<4:13:15, 1.31s/step] Training: 83%|████████▎ | 58362/70000 [20:39:53<4:05:59, 1.27s/step] Training: 83%|████████▎ | 58363/70000 [20:39:54<4:09:42, 1.29s/step] Training: 83%|████████▎ | 58364/70000 [20:39:56<4:10:08, 1.29s/step] Training: 83%|████████▎ | 58365/70000 [20:39:57<4:05:11, 1.26s/step] Training: 83%|████████▎ | 58366/70000 [20:39:58<4:08:30, 1.28s/step] Training: 83%|████████▎ | 58367/70000 [20:39:59<4:03:02, 1.25s/step] Training: 83%|████████▎ | 58368/70000 [20:40:01<4:07:32, 1.28s/step] Training: 83%|████████▎ | 58369/70000 [20:40:02<4:10:33, 1.29s/step] Training: 83%|████████▎ | 58370/70000 [20:40:03<4:13:34, 1.31s/step] Training: 83%|████████▎ | 58371/70000 [20:40:05<4:08:36, 1.28s/step] Training: 83%|████████▎ | 58372/70000 [20:40:06<4:10:39, 1.29s/step] Training: 83%|████████▎ | 58373/70000 [20:40:07<4:13:05, 1.31s/step] Training: 83%|████████▎ | 58374/70000 [20:40:09<4:14:30, 1.31s/step] Training: 83%|████████▎ | 58375/70000 [20:40:10<4:07:10, 1.28s/step] Training: 83%|████████▎ | 58376/70000 [20:40:11<4:11:35, 1.30s/step] Training: 83%|████████▎ | 58377/70000 [20:40:12<4:15:59, 1.32s/step] Training: 83%|████████▎ | 58378/70000 [20:40:14<4:17:04, 1.33s/step] Training: 83%|████████▎ | 58379/70000 [20:40:15<4:10:32, 1.29s/step] Training: 83%|████████▎ | 58380/70000 [20:40:16<4:05:48, 1.27s/step] Training: 83%|████████▎ | 58381/70000 [20:40:18<4:09:49, 1.29s/step] Training: 83%|████████▎ | 58382/70000 [20:40:19<4:12:04, 1.30s/step] Training: 83%|████████▎ | 58383/70000 [20:40:20<4:05:30, 1.27s/step] Training: 83%|████████▎ | 58384/70000 [20:40:21<4:02:34, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=22883 Training: 83%|████████▎ | 58385/70000 [20:40:23<4:09:12, 1.29s/step] Training: 83%|████████▎ | 58386/70000 [20:40:24<4:11:55, 1.30s/step] Training: 83%|████████▎ | 58387/70000 [20:40:25<4:13:31, 1.31s/step] Training: 83%|████████▎ | 58388/70000 [20:40:27<4:14:31, 1.32s/step] Training: 83%|████████▎ | 58389/70000 [20:40:28<4:15:08, 1.32s/step] Training: 83%|████████▎ | 58390/70000 [20:40:29<4:09:42, 1.29s/step] Training: 83%|████████▎ | 58391/70000 [20:40:30<4:04:00, 1.26s/step] Training: 83%|████████▎ | 58392/70000 [20:40:32<4:07:51, 1.28s/step] Training: 83%|████████▎ | 58393/70000 [20:40:33<4:10:29, 1.29s/step] Training: 83%|████████▎ | 58394/70000 [20:40:34<4:14:04, 1.31s/step] Training: 83%|████████▎ | 58395/70000 [20:40:36<4:14:33, 1.32s/step] Training: 83%|████████▎ | 58396/70000 [20:40:37<4:15:12, 1.32s/step] Training: 83%|████████▎ | 58397/70000 [20:40:38<4:08:34, 1.29s/step] Training: 83%|████████▎ | 58398/70000 [20:40:40<4:11:09, 1.30s/step] Training: 83%|████████▎ | 58399/70000 [20:40:41<4:04:46, 1.27s/step] Training: 83%|████████▎ | 58400/70000 [20:40:42<4:08:20, 1.28s/step]INFO 2026-03-13 16:50:34 ot_train.py:435 step:58K smpl:4M ep:13K epch:49.50 loss:0.007 grdn:0.616 lr:2.6e-06 updt_s:1.266 data_s:0.019 Training: 83%|████████▎ | 58401/70000 [20:40:43<4:10:42, 1.30s/step] Training: 83%|████████▎ | 58402/70000 [20:40:45<4:07:39, 1.28s/step] Training: 83%|████████▎ | 58403/70000 [20:40:46<4:03:48, 1.26s/step] Training: 83%|████████▎ | 58404/70000 [20:40:47<4:07:56, 1.28s/step] Training: 83%|████████▎ | 58405/70000 [20:40:49<4:10:48, 1.30s/step] Training: 83%|████████▎ | 58406/70000 [20:40:50<4:12:42, 1.31s/step] Training: 83%|████████▎ | 58407/70000 [20:40:51<4:05:43, 1.27s/step] Training: 83%|████████▎ | 58408/70000 [20:40:52<4:09:03, 1.29s/step] Training: 83%|████████▎ | 58409/70000 [20:40:54<4:11:22, 1.30s/step] Training: 83%|████████▎ | 58410/70000 [20:40:55<4:12:14, 1.31s/step] Training: 83%|████████▎ | 58411/70000 [20:40:56<4:14:26, 1.32s/step] Training: 83%|████████▎ | 58412/70000 [20:40:58<4:07:50, 1.28s/step] Training: 83%|████████▎ | 58413/70000 [20:40:59<4:10:35, 1.30s/step] Training: 83%|████████▎ | 58414/70000 [20:41:00<4:04:25, 1.27s/step] Training: 83%|████████▎ | 58415/70000 [20:41:01<4:07:12, 1.28s/step] Training: 83%|████████▎ | 58416/70000 [20:41:03<4:03:25, 1.26s/step] Training: 83%|████████▎ | 58417/70000 [20:41:04<4:01:34, 1.25s/step] Training: 83%|████████▎ | 58418/70000 [20:41:05<4:02:38, 1.26s/step] Training: 83%|████████▎ | 58419/70000 [20:41:07<4:12:22, 1.31s/step] Training: 83%|████████▎ | 58420/70000 [20:41:08<4:13:35, 1.31s/step] Training: 83%|████████▎ | 58421/70000 [20:41:09<4:16:40, 1.33s/step] Training: 83%|████████▎ | 58422/70000 [20:41:10<4:08:39, 1.29s/step] Training: 83%|████████▎ | 58423/70000 [20:41:12<4:10:23, 1.30s/step] Training: 83%|████████▎ | 58424/70000 [20:41:13<4:11:34, 1.30s/step] Training: 83%|████████▎ | 58425/70000 [20:41:14<4:06:40, 1.28s/step] Training: 83%|████████▎ | 58426/70000 [20:41:16<4:01:30, 1.25s/step] Training: 83%|████████▎ | 58427/70000 [20:41:17<4:07:10, 1.28s/step] Training: 83%|████████▎ | 58428/70000 [20:41:18<4:08:50, 1.29s/step] Training: 83%|████████▎ | 58429/70000 [20:41:19<4:04:41, 1.27s/step] Training: 83%|████████▎ | 58430/70000 [20:41:21<4:08:20, 1.29s/step] Training: 83%|████████▎ | 58431/70000 [20:41:22<4:02:44, 1.26s/step] Training: 83%|████████▎ | 58432/70000 [20:41:23<4:06:49, 1.28s/step] Training: 83%|████████▎ | 58433/70000 [20:41:25<4:10:15, 1.30s/step] Training: 83%|████████▎ | 58434/70000 [20:41:26<4:11:51, 1.31s/step] Training: 83%|████████▎ | 58435/70000 [20:41:27<4:07:09, 1.28s/step] Training: 83%|████████▎ | 58436/70000 [20:41:29<4:16:22, 1.33s/step] Training: 83%|████████▎ | 58437/70000 [20:41:30<4:16:33, 1.33s/step] Training: 83%|████████▎ | 58438/70000 [20:41:31<4:16:19, 1.33s/step] Training: 83%|████████▎ | 58439/70000 [20:41:32<4:08:06, 1.29s/step] Training: 83%|████████▎ | 58440/70000 [20:41:34<4:10:46, 1.30s/step] Training: 83%|████████▎ | 58441/70000 [20:41:35<4:12:00, 1.31s/step] Training: 83%|████████▎ | 58442/70000 [20:41:36<4:05:17, 1.27s/step] Training: 83%|████████▎ | 58443/70000 [20:41:37<4:01:53, 1.26s/step] Training: 83%|████████▎ | 58444/70000 [20:41:39<4:06:38, 1.28s/step] Training: 83%|████████▎ | 58445/70000 [20:41:40<4:08:44, 1.29s/step] Training: 83%|████████▎ | 58446/70000 [20:41:41<4:05:13, 1.27s/step] Training: 83%|████████▎ | 58447/70000 [20:41:43<4:00:08, 1.25s/step] Training: 83%|████████▎ | 58448/70000 [20:41:44<3:57:53, 1.24s/step] Training: 83%|████████▎ | 58449/70000 [20:41:45<3:57:47, 1.24s/step] Training: 84%|████████▎ | 58450/70000 [20:41:46<3:57:37, 1.23s/step] Training: 84%|████████▎ | 58451/70000 [20:41:48<4:03:03, 1.26s/step] Training: 84%|████████▎ | 58452/70000 [20:41:49<4:06:36, 1.28s/step] Training: 84%|████████▎ | 58453/70000 [20:41:50<4:09:12, 1.29s/step] Training: 84%|████████▎ | 58454/70000 [20:41:51<4:04:03, 1.27s/step] Training: 84%|████████▎ | 58455/70000 [20:41:53<3:59:35, 1.25s/step] Training: 84%|████████▎ | 58456/70000 [20:41:54<4:04:09, 1.27s/step] Training: 84%|████████▎ | 58457/70000 [20:41:55<4:00:59, 1.25s/step] Training: 84%|████████▎ | 58458/70000 [20:41:56<3:57:25, 1.23s/step] Training: 84%|████████▎ | 58459/70000 [20:41:58<4:10:01, 1.30s/step] Training: 84%|████████▎ | 58460/70000 [20:41:59<4:13:26, 1.32s/step] Training: 84%|████████▎ | 58461/70000 [20:42:00<4:07:48, 1.29s/step] Training: 84%|████████▎ | 58462/70000 [20:42:02<4:10:03, 1.30s/step] Training: 84%|████████▎ | 58463/70000 [20:42:03<4:03:34, 1.27s/step] Training: 84%|████████▎ | 58464/70000 [20:42:04<4:06:54, 1.28s/step] Training: 84%|████████▎ | 58465/70000 [20:42:06<4:10:11, 1.30s/step] Training: 84%|████████▎ | 58466/70000 [20:42:07<4:12:00, 1.31s/step] Training: 84%|████████▎ | 58467/70000 [20:42:08<4:07:25, 1.29s/step] Training: 84%|████████▎ | 58468/70000 [20:42:09<4:09:19, 1.30s/step] Training: 84%|████████▎ | 58469/70000 [20:42:11<4:10:41, 1.30s/step] Training: 84%|████████▎ | 58470/70000 [20:42:12<4:04:25, 1.27s/step] Training: 84%|████████▎ | 58471/70000 [20:42:13<4:06:43, 1.28s/step] Training: 84%|████████▎ | 58472/70000 [20:42:15<4:09:07, 1.30s/step] Training: 84%|████████▎ | 58473/70000 [20:42:16<4:11:28, 1.31s/step] Training: 84%|████████▎ | 58474/70000 [20:42:17<4:05:12, 1.28s/step] Training: 84%|████████▎ | 58475/70000 [20:42:18<4:01:56, 1.26s/step] Training: 84%|████████▎ | 58476/70000 [20:42:20<3:59:16, 1.25s/step] Training: 84%|████████▎ | 58477/70000 [20:42:21<4:10:26, 1.30s/step] Training: 84%|████████▎ | 58478/70000 [20:42:22<4:03:36, 1.27s/step] Training: 84%|████████▎ | 58479/70000 [20:42:24<4:06:04, 1.28s/step] Training: 84%|████████▎ | 58480/70000 [20:42:25<4:02:24, 1.26s/step] Training: 84%|████████▎ | 58481/70000 [20:42:26<4:00:45, 1.25s/step] Training: 84%|████████▎ | 58482/70000 [20:42:27<3:58:56, 1.24s/step] Training: 84%|████████▎ | 58483/70000 [20:42:28<4:03:06, 1.27s/step] Training: 84%|████████▎ | 58484/70000 [20:42:30<4:06:46, 1.29s/step] Training: 84%|████████▎ | 58485/70000 [20:42:31<4:13:48, 1.32s/step] Training: 84%|████████▎ | 58486/70000 [20:42:32<4:05:58, 1.28s/step] Training: 84%|████████▎ | 58487/70000 [20:42:34<4:00:27, 1.25s/step] Training: 84%|████████▎ | 58488/70000 [20:42:35<4:04:39, 1.28s/step] Training: 84%|████████▎ | 58489/70000 [20:42:36<4:01:09, 1.26s/step] Training: 84%|████████▎ | 58490/70000 [20:42:37<3:57:07, 1.24s/step] Training: 84%|████████▎ | 58491/70000 [20:42:39<4:08:03, 1.29s/step] Training: 84%|████████▎ | 58492/70000 [20:42:40<4:10:39, 1.31s/step] Training: 84%|████████▎ | 58493/70000 [20:42:41<4:05:06, 1.28s/step] Training: 84%|████████▎ | 58494/70000 [20:42:43<4:08:39, 1.30s/step] Training: 84%|████████▎ | 58495/70000 [20:42:44<4:07:53, 1.29s/step] Training: 84%|████████▎ | 58496/70000 [20:42:45<4:10:00, 1.30s/step] Training: 84%|████████▎ | 58497/70000 [20:42:47<4:11:25, 1.31s/step] Training: 84%|████████▎ | 58498/70000 [20:42:48<4:12:19, 1.32s/step] Training: 84%|████████▎ | 58499/70000 [20:42:49<4:07:26, 1.29s/step] Training: 84%|████████▎ | 58500/70000 [20:42:50<4:09:42, 1.30s/step]INFO 2026-03-13 16:52:43 ot_train.py:435 step:58K smpl:4M ep:13K epch:49.58 loss:0.008 grdn:0.712 lr:2.6e-06 updt_s:1.263 data_s:0.019 Training: 84%|████████▎ | 58501/70000 [20:42:52<4:13:24, 1.32s/step] Training: 84%|████████▎ | 58502/70000 [20:42:53<4:05:17, 1.28s/step] Training: 84%|████████▎ | 58503/70000 [20:42:54<4:07:31, 1.29s/step] Training: 84%|████████▎ | 58504/70000 [20:42:56<4:09:34, 1.30s/step] Training: 84%|████████▎ | 58505/70000 [20:42:57<4:11:24, 1.31s/step] Training: 84%|████████▎ | 58506/70000 [20:42:58<4:04:56, 1.28s/step] Training: 84%|████████▎ | 58507/70000 [20:42:59<4:01:01, 1.26s/step] Training: 84%|████████▎ | 58508/70000 [20:43:01<3:58:19, 1.24s/step] Training: 84%|████████▎ | 58509/70000 [20:43:02<4:03:09, 1.27s/step] Training: 84%|████████▎ | 58510/70000 [20:43:03<4:07:41, 1.29s/step] Training: 84%|████████▎ | 58511/70000 [20:43:05<4:01:55, 1.26s/step] Training: 84%|████████▎ | 58512/70000 [20:43:06<3:59:17, 1.25s/step] Training: 84%|████████▎ | 58513/70000 [20:43:07<3:57:49, 1.24s/step] Training: 84%|████████▎ | 58514/70000 [20:43:08<3:56:47, 1.24s/step] Training: 84%|████████▎ | 58515/70000 [20:43:10<4:02:13, 1.27s/step] Training: 84%|████████▎ | 58516/70000 [20:43:11<4:05:53, 1.28s/step] Training: 84%|████████▎ | 58517/70000 [20:43:12<4:00:24, 1.26s/step] Training: 84%|████████▎ | 58518/70000 [20:43:13<4:06:46, 1.29s/step] Training: 84%|████████▎ | 58519/70000 [20:43:15<4:08:11, 1.30s/step] Training: 84%|████████▎ | 58520/70000 [20:43:16<4:10:04, 1.31s/step] Training: 84%|████████▎ | 58521/70000 [20:43:17<4:04:33, 1.28s/step] Training: 84%|████████▎ | 58522/70000 [20:43:18<3:59:23, 1.25s/step] Training: 84%|████████▎ | 58523/70000 [20:43:20<4:10:16, 1.31s/step] Training: 84%|████████▎ | 58524/70000 [20:43:21<4:12:02, 1.32s/step] Training: 84%|████████▎ | 58525/70000 [20:43:22<4:04:22, 1.28s/step] Training: 84%|████████▎ | 58526/70000 [20:43:24<4:06:38, 1.29s/step] Training: 84%|████████▎ | 58527/70000 [20:43:25<4:09:03, 1.30s/step] Training: 84%|████████▎ | 58528/70000 [20:43:26<4:10:26, 1.31s/step] Training: 84%|████████▎ | 58529/70000 [20:43:28<4:11:29, 1.32s/step] Training: 84%|████████▎ | 58530/70000 [20:43:29<4:12:40, 1.32s/step] Training: 84%|████████▎ | 58531/70000 [20:43:30<4:08:11, 1.30s/step] Training: 84%|████████▎ | 58532/70000 [20:43:32<4:10:25, 1.31s/step] Training: 84%|████████▎ | 58533/70000 [20:43:33<4:11:08, 1.31s/step] Training: 84%|████████▎ | 58534/70000 [20:43:34<4:07:05, 1.29s/step] Training: 84%|████████▎ | 58535/70000 [20:43:36<4:08:27, 1.30s/step] Training: 84%|████████▎ | 58536/70000 [20:43:37<4:09:31, 1.31s/step] Training: 84%|████████▎ | 58537/70000 [20:43:38<4:10:38, 1.31s/step] Training: 84%|████████▎ | 58538/70000 [20:43:39<4:04:18, 1.28s/step] Training: 84%|████████▎ | 58539/70000 [20:43:41<4:00:05, 1.26s/step] Training: 84%|████████▎ | 58540/70000 [20:43:42<3:57:21, 1.24s/step] Training: 84%|████████▎ | 58541/70000 [20:43:43<4:02:00, 1.27s/step] Training: 84%|████████▎ | 58542/70000 [20:43:44<4:00:17, 1.26s/step] Training: 84%|████████▎ | 58543/70000 [20:43:46<3:56:48, 1.24s/step] Training: 84%|████████▎ | 58544/70000 [20:43:47<3:54:57, 1.23s/step] Training: 84%|████████▎ | 58545/70000 [20:43:48<3:54:45, 1.23s/step] Training: 84%|████████▎ | 58546/70000 [20:43:49<3:54:18, 1.23s/step] Training: 84%|████████▎ | 58547/70000 [20:43:50<3:52:12, 1.22s/step] Training: 84%|████████▎ | 58548/70000 [20:43:52<4:05:01, 1.28s/step] Training: 84%|████████▎ | 58549/70000 [20:43:53<4:02:04, 1.27s/step] Training: 84%|████████▎ | 58550/70000 [20:43:54<3:57:22, 1.24s/step] Training: 84%|████████▎ | 58551/70000 [20:43:56<4:07:46, 1.30s/step] Training: 84%|████████▎ | 58552/70000 [20:43:57<4:09:27, 1.31s/step] Training: 84%|████████▎ | 58553/70000 [20:43:58<4:03:44, 1.28s/step] Training: 84%|████████▎ | 58554/70000 [20:43:59<3:58:34, 1.25s/step] Training: 84%|████████▎ | 58555/70000 [20:44:01<4:01:46, 1.27s/step] Training: 84%|████████▎ | 58556/70000 [20:44:02<4:08:56, 1.31s/step] Training: 84%|████████▎ | 58557/70000 [20:44:03<4:03:43, 1.28s/step] Training: 84%|████████▎ | 58558/70000 [20:44:04<3:58:41, 1.25s/step] Training: 84%|████████▎ | 58559/70000 [20:44:06<4:08:14, 1.30s/step] Training: 84%|████████▎ | 58560/70000 [20:44:07<4:10:04, 1.31s/step] Training: 84%|████████▎ | 58561/70000 [20:44:09<4:11:04, 1.32s/step] Training: 84%|████████▎ | 58562/70000 [20:44:10<4:03:45, 1.28s/step] Training: 84%|████████▎ | 58563/70000 [20:44:11<3:58:36, 1.25s/step] Training: 84%|████████▎ | 58564/70000 [20:44:12<4:02:33, 1.27s/step] Training: 84%|████████▎ | 58565/70000 [20:44:14<4:05:41, 1.29s/step] Training: 84%|████████▎ | 58566/70000 [20:44:15<3:59:45, 1.26s/step] Training: 84%|████████▎ | 58567/70000 [20:44:16<4:05:06, 1.29s/step] Training: 84%|████████▎ | 58568/70000 [20:44:17<4:07:02, 1.30s/step] Training: 84%|████████▎ | 58569/70000 [20:44:19<4:08:54, 1.31s/step] Training: 84%|████████▎ | 58570/70000 [20:44:20<4:02:46, 1.27s/step] Training: 84%|████████▎ | 58571/70000 [20:44:21<3:57:40, 1.25s/step] Training: 84%|████████▎ | 58572/70000 [20:44:23<4:02:24, 1.27s/step] Training: 84%|████████▎ | 58573/70000 [20:44:24<4:05:50, 1.29s/step] Training: 84%|████████▎ | 58574/70000 [20:44:25<3:59:56, 1.26s/step] Training: 84%|████████▎ | 58575/70000 [20:44:26<4:05:16, 1.29s/step] Training: 84%|████████▎ | 58576/70000 [20:44:28<4:00:39, 1.26s/step] Training: 84%|████████▎ | 58577/70000 [20:44:29<3:58:44, 1.25s/step] Training: 84%|████████▎ | 58578/70000 [20:44:30<3:57:16, 1.25s/step] Training: 84%|████████▎ | 58579/70000 [20:44:31<3:54:19, 1.23s/step] Training: 84%|████████▎ | 58580/70000 [20:44:33<3:59:49, 1.26s/step] Training: 84%|████████▎ | 58581/70000 [20:44:34<3:58:06, 1.25s/step] Training: 84%|████████▎ | 58582/70000 [20:44:35<3:54:29, 1.23s/step] Training: 84%|████████▎ | 58583/70000 [20:44:36<4:00:08, 1.26s/step] Training: 84%|████████▎ | 58584/70000 [20:44:38<4:11:01, 1.32s/step] Training: 84%|████████▎ | 58585/70000 [20:44:39<4:04:36, 1.29s/step] Training: 84%|████████▎ | 58586/70000 [20:44:40<3:59:17, 1.26s/step] Training: 84%|████████▎ | 58587/70000 [20:44:41<4:02:18, 1.27s/step] Training: 84%|████████▎ | 58588/70000 [20:44:43<4:06:09, 1.29s/step] Training: 84%|████████▎ | 58589/70000 [20:44:44<4:01:28, 1.27s/step] Training: 84%|████████▎ | 58590/70000 [20:44:45<3:56:40, 1.24s/step] Training: 84%|████████▎ | 58591/70000 [20:44:47<4:01:26, 1.27s/step] Training: 84%|████████▎ | 58592/70000 [20:44:48<4:11:49, 1.32s/step] Training: 84%|████████▎ | 58593/70000 [20:44:49<4:11:54, 1.33s/step] Training: 84%|████████▎ | 58594/70000 [20:44:51<4:04:01, 1.28s/step] Training: 84%|████████▎ | 58595/70000 [20:44:52<3:58:48, 1.26s/step] Training: 84%|████████▎ | 58596/70000 [20:44:53<4:02:37, 1.28s/step] Training: 84%|████████▎ | 58597/70000 [20:44:54<4:06:17, 1.30s/step] Training: 84%|████████▎ | 58598/70000 [20:44:56<4:00:09, 1.26s/step] Training: 84%|████████▎ | 58599/70000 [20:44:57<4:03:35, 1.28s/step] Training: 84%|████████▎ | 58600/70000 [20:44:58<4:11:27, 1.32s/step]INFO 2026-03-13 16:54:50 ot_train.py:435 step:59K smpl:4M ep:13K epch:49.67 loss:0.008 grdn:0.650 lr:2.5e-06 updt_s:1.257 data_s:0.019 Training: 84%|████████▎ | 58601/70000 [20:45:00<4:12:02, 1.33s/step] Training: 84%|████████▎ | 58602/70000 [20:45:01<4:06:08, 1.30s/step] Training: 84%|████████▎ | 58603/70000 [20:45:02<3:59:59, 1.26s/step] Training: 84%|████████▎ | 58604/70000 [20:45:03<4:03:41, 1.28s/step] Training: 84%|████████▎ | 58605/70000 [20:45:05<4:06:26, 1.30s/step] Training: 84%|████████▎ | 58606/70000 [20:45:06<4:00:25, 1.27s/step] Training: 84%|████████▎ | 58607/70000 [20:45:07<3:56:49, 1.25s/step] Training: 84%|████████▎ | 58608/70000 [20:45:08<4:03:13, 1.28s/step] Training: 84%|████████▎ | 58609/70000 [20:45:10<4:00:37, 1.27s/step] Training: 84%|████████▎ | 58610/70000 [20:45:11<3:57:15, 1.25s/step] Training: 84%|████████▎ | 58611/70000 [20:45:12<3:53:39, 1.23s/step] Training: 84%|████████▎ | 58612/70000 [20:45:13<3:59:25, 1.26s/step] Training: 84%|████████▎ | 58613/70000 [20:45:15<3:57:29, 1.25s/step] Training: 84%|████████▎ | 58614/70000 [20:45:16<3:54:19, 1.23s/step] Training: 84%|████████▎ | 58615/70000 [20:45:17<3:59:08, 1.26s/step] Training: 84%|████████▎ | 58616/70000 [20:45:19<4:03:25, 1.28s/step] Training: 84%|████████▎ | 58617/70000 [20:45:20<4:01:21, 1.27s/step] Training: 84%|████████▎ | 58618/70000 [20:45:21<4:04:27, 1.29s/step] Training: 84%|████████▎ | 58619/70000 [20:45:22<3:58:41, 1.26s/step] Training: 84%|████████▎ | 58620/70000 [20:45:24<4:04:37, 1.29s/step] Training: 84%|████████▎ | 58621/70000 [20:45:25<4:00:15, 1.27s/step] Training: 84%|████████▎ | 58622/70000 [20:45:26<3:55:54, 1.24s/step] Training: 84%|████████▎ | 58623/70000 [20:45:27<4:00:53, 1.27s/step] Training: 84%|████████▎ | 58624/70000 [20:45:29<4:04:04, 1.29s/step] Training: 84%|████████▍ | 58625/70000 [20:45:30<4:11:29, 1.33s/step] Training: 84%|████████▍ | 58626/70000 [20:45:31<4:11:43, 1.33s/step] Training: 84%|████████▍ | 58627/70000 [20:45:33<4:03:38, 1.29s/step] Training: 84%|████████▍ | 58628/70000 [20:45:34<4:05:45, 1.30s/step] Training: 84%|████████▍ | 58629/70000 [20:45:35<4:07:50, 1.31s/step] Training: 84%|████████▍ | 58630/70000 [20:45:36<4:01:06, 1.27s/step] Training: 84%|████████▍ | 58631/70000 [20:45:38<4:04:14, 1.29s/step] Training: 84%|████████▍ | 58632/70000 [20:45:39<4:06:42, 1.30s/step] Training: 84%|████████▍ | 58633/70000 [20:45:41<4:14:37, 1.34s/step] Training: 84%|████████▍ | 58634/70000 [20:45:42<4:07:34, 1.31s/step] Training: 84%|████████▍ | 58635/70000 [20:45:43<4:00:55, 1.27s/step] Training: 84%|████████▍ | 58636/70000 [20:45:44<4:04:16, 1.29s/step] Training: 84%|████████▍ | 58637/70000 [20:45:46<4:06:04, 1.30s/step] Training: 84%|████████▍ | 58638/70000 [20:45:47<3:59:48, 1.27s/step] Training: 84%|████████▍ | 58639/70000 [20:45:48<3:56:37, 1.25s/step] Training: 84%|████████▍ | 58640/70000 [20:45:49<3:54:40, 1.24s/step] Training: 84%|████████▍ | 58641/70000 [20:45:51<4:03:54, 1.29s/step] Training: 84%|████████▍ | 58642/70000 [20:45:52<3:58:57, 1.26s/step] Training: 84%|████████▍ | 58643/70000 [20:45:53<3:54:50, 1.24s/step] Training: 84%|████████▍ | 58644/70000 [20:45:54<3:59:51, 1.27s/step] Training: 84%|████████▍ | 58645/70000 [20:45:56<3:57:54, 1.26s/step] Training: 84%|████████▍ | 58646/70000 [20:45:57<3:54:25, 1.24s/step] Training: 84%|████████▍ | 58647/70000 [20:45:58<4:00:16, 1.27s/step] Training: 84%|████████▍ | 58648/70000 [20:45:59<4:03:12, 1.29s/step] Training: 84%|████████▍ | 58649/70000 [20:46:01<3:58:18, 1.26s/step] Training: 84%|████████▍ | 58650/70000 [20:46:02<4:06:53, 1.31s/step] Training: 84%|████████▍ | 58651/70000 [20:46:03<4:00:17, 1.27s/step] Training: 84%|████████▍ | 58652/70000 [20:46:05<4:06:48, 1.30s/step] Training: 84%|████████▍ | 58653/70000 [20:46:06<4:01:32, 1.28s/step] Training: 84%|████████▍ | 58654/70000 [20:46:07<3:56:36, 1.25s/step] Training: 84%|████████▍ | 58655/70000 [20:46:08<4:01:00, 1.27s/step] Training: 84%|████████▍ | 58656/70000 [20:46:10<4:03:59, 1.29s/step] Training: 84%|████████▍ | 58657/70000 [20:46:11<4:05:58, 1.30s/step] Training: 84%|████████▍ | 58658/70000 [20:46:13<4:14:09, 1.34s/step] Training: 84%|████████▍ | 58659/70000 [20:46:14<4:05:18, 1.30s/step] Training: 84%|████████▍ | 58660/70000 [20:46:15<4:01:15, 1.28s/step] Training: 84%|████████▍ | 58661/70000 [20:46:16<3:56:17, 1.25s/step] Training: 84%|████████▍ | 58662/70000 [20:46:17<4:00:17, 1.27s/step] Training: 84%|████████▍ | 58663/70000 [20:46:19<4:03:05, 1.29s/step] Training: 84%|████████▍ | 58664/70000 [20:46:20<4:05:48, 1.30s/step] Training: 84%|████████▍ | 58665/70000 [20:46:21<4:07:35, 1.31s/step] Training: 84%|████████▍ | 58666/70000 [20:46:23<4:02:39, 1.28s/step] Training: 84%|████████▍ | 58667/70000 [20:46:24<3:57:22, 1.26s/step] Training: 84%|████████▍ | 58668/70000 [20:46:25<3:53:21, 1.24s/step] Training: 84%|████████▍ | 58669/70000 [20:46:26<3:58:24, 1.26s/step] Training: 84%|████████▍ | 58670/70000 [20:46:28<3:57:36, 1.26s/step] Training: 84%|████████▍ | 58671/70000 [20:46:29<3:54:20, 1.24s/step] Training: 84%|████████▍ | 58672/70000 [20:46:30<3:52:32, 1.23s/step] Training: 84%|████████▍ | 58673/70000 [20:46:31<3:52:03, 1.23s/step] Training: 84%|████████▍ | 58674/70000 [20:46:32<3:53:00, 1.23s/step] Training: 84%|████████▍ | 58675/70000 [20:46:34<3:50:36, 1.22s/step] Training: 84%|████████▍ | 58676/70000 [20:46:35<3:56:14, 1.25s/step] Training: 84%|████████▍ | 58677/70000 [20:46:36<3:56:19, 1.25s/step] Training: 84%|████████▍ | 58678/70000 [20:46:37<3:53:45, 1.24s/step] Training: 84%|████████▍ | 58679/70000 [20:46:39<3:58:29, 1.26s/step] Training: 84%|████████▍ | 58680/70000 [20:46:40<4:01:59, 1.28s/step] Training: 84%|████████▍ | 58681/70000 [20:46:41<3:57:59, 1.26s/step] Training: 84%|████████▍ | 58682/70000 [20:46:43<4:01:16, 1.28s/step] Training: 84%|████████▍ | 58683/70000 [20:46:44<3:56:07, 1.25s/step] Training: 84%|████████▍ | 58684/70000 [20:46:45<3:53:30, 1.24s/step] Training: 84%|████████▍ | 58685/70000 [20:46:46<3:51:14, 1.23s/step] Training: 84%|████████▍ | 58686/70000 [20:46:48<3:57:07, 1.26s/step] Training: 84%|████████▍ | 58687/70000 [20:46:49<4:01:03, 1.28s/step] Training: 84%|████████▍ | 58688/70000 [20:46:50<4:03:31, 1.29s/step] Training: 84%|████████▍ | 58689/70000 [20:46:52<4:05:41, 1.30s/step] Training: 84%|████████▍ | 58690/70000 [20:46:53<4:07:23, 1.31s/step] Training: 84%|████████▍ | 58691/70000 [20:46:54<4:09:20, 1.32s/step] Training: 84%|████████▍ | 58692/70000 [20:46:55<4:03:40, 1.29s/step] Training: 84%|████████▍ | 58693/70000 [20:46:57<4:06:40, 1.31s/step] Training: 84%|████████▍ | 58694/70000 [20:46:58<4:08:01, 1.32s/step] Training: 84%|████████▍ | 58695/70000 [20:46:59<4:08:18, 1.32s/step] Training: 84%|████████▍ | 58696/70000 [20:47:01<4:08:46, 1.32s/step] Training: 84%|████████▍ | 58697/70000 [20:47:02<4:08:59, 1.32s/step] Training: 84%|████████▍ | 58698/70000 [20:47:03<4:03:39, 1.29s/step] Training: 84%|████████▍ | 58699/70000 [20:47:05<4:01:57, 1.28s/step] Training: 84%|████████▍ | 58700/70000 [20:47:06<3:56:26, 1.26s/step]INFO 2026-03-13 16:56:58 ot_train.py:435 step:59K smpl:4M ep:13K epch:49.75 loss:0.008 grdn:0.704 lr:2.5e-06 updt_s:1.253 data_s:0.019 Training: 84%|████████▍ | 58701/70000 [20:47:07<4:08:03, 1.32s/step] Training: 84%|████████▍ | 58702/70000 [20:47:09<4:09:04, 1.32s/step] Training: 84%|████████▍ | 58703/70000 [20:47:10<4:02:03, 1.29s/step] Training: 84%|████████▍ | 58704/70000 [20:47:11<3:57:26, 1.26s/step] Training: 84%|████████▍ | 58705/70000 [20:47:12<3:55:50, 1.25s/step] Training: 84%|████████▍ | 58706/70000 [20:47:13<3:53:05, 1.24s/step] Training: 84%|████████▍ | 58707/70000 [20:47:15<3:50:24, 1.22s/step] Training: 84%|████████▍ | 58708/70000 [20:47:16<4:01:44, 1.28s/step] Training: 84%|████████▍ | 58709/70000 [20:47:17<4:04:43, 1.30s/step] Training: 84%|████████▍ | 58710/70000 [20:47:19<4:00:15, 1.28s/step] Training: 84%|████████▍ | 58711/70000 [20:47:20<4:03:11, 1.29s/step] Training: 84%|████████▍ | 58712/70000 [20:47:21<4:05:23, 1.30s/step] Training: 84%|████████▍ | 58713/70000 [20:47:22<4:00:00, 1.28s/step] Training: 84%|████████▍ | 58714/70000 [20:47:24<4:03:18, 1.29s/step] Training: 84%|████████▍ | 58715/70000 [20:47:25<4:06:56, 1.31s/step] Training: 84%|████████▍ | 58716/70000 [20:47:26<4:05:14, 1.30s/step] Training: 84%|████████▍ | 58717/70000 [20:47:28<4:00:09, 1.28s/step] Training: 84%|████████▍ | 58718/70000 [20:47:29<4:03:29, 1.29s/step] Training: 84%|████████▍ | 58719/70000 [20:47:30<4:04:46, 1.30s/step] Training: 84%|████████▍ | 58720/70000 [20:47:32<4:06:02, 1.31s/step] Training: 84%|████████▍ | 58721/70000 [20:47:33<4:07:14, 1.32s/step] Training: 84%|████████▍ | 58722/70000 [20:47:34<4:07:57, 1.32s/step] Training: 84%|████████▍ | 58723/70000 [20:47:35<4:00:40, 1.28s/step] Training: 84%|████████▍ | 58724/70000 [20:47:37<4:10:04, 1.33s/step] Training: 84%|████████▍ | 58725/70000 [20:47:38<4:09:58, 1.33s/step] Training: 84%|████████▍ | 58726/70000 [20:47:40<4:09:50, 1.33s/step] Training: 84%|████████▍ | 58727/70000 [20:47:41<4:08:52, 1.32s/step] Training: 84%|████████▍ | 58728/70000 [20:47:42<4:08:56, 1.33s/step] Training: 84%|████████▍ | 58729/70000 [20:47:44<4:09:36, 1.33s/step] Training: 84%|████████▍ | 58730/70000 [20:47:45<4:03:47, 1.30s/step] Training: 84%|████████▍ | 58731/70000 [20:47:46<3:57:55, 1.27s/step] Training: 84%|████████▍ | 58732/70000 [20:47:47<4:03:46, 1.30s/step] Training: 84%|████████▍ | 58733/70000 [20:47:49<4:04:27, 1.30s/step] Training: 84%|████████▍ | 58734/70000 [20:47:50<4:05:47, 1.31s/step] Training: 84%|████████▍ | 58735/70000 [20:47:51<4:00:59, 1.28s/step] Training: 84%|████████▍ | 58736/70000 [20:47:52<3:56:56, 1.26s/step] Training: 84%|████████▍ | 58737/70000 [20:47:54<3:54:39, 1.25s/step] Training: 84%|████████▍ | 58738/70000 [20:47:55<3:52:48, 1.24s/step] Training: 84%|████████▍ | 58739/70000 [20:47:56<3:50:05, 1.23s/step] Training: 84%|████████▍ | 58740/70000 [20:47:57<3:56:04, 1.26s/step] Training: 84%|████████▍ | 58741/70000 [20:47:59<3:59:40, 1.28s/step] Training: 84%|████████▍ | 58742/70000 [20:48:00<3:56:18, 1.26s/step] Training: 84%|████████▍ | 58743/70000 [20:48:01<4:00:37, 1.28s/step] Training: 84%|████████▍ | 58744/70000 [20:48:03<4:03:28, 1.30s/step] Training: 84%|████████▍ | 58745/70000 [20:48:04<3:58:43, 1.27s/step] Training: 84%|████████▍ | 58746/70000 [20:48:05<4:02:38, 1.29s/step] Training: 84%|████████▍ | 58747/70000 [20:48:06<3:57:11, 1.26s/step] Training: 84%|████████▍ | 58748/70000 [20:48:08<4:04:27, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=22883 Training: 84%|████████▍ | 58749/70000 [20:48:09<3:59:06, 1.28s/step] Training: 84%|████████▍ | 58750/70000 [20:48:10<4:02:46, 1.29s/step] Training: 84%|████████▍ | 58751/70000 [20:48:12<4:05:21, 1.31s/step] Training: 84%|████████▍ | 58752/70000 [20:48:13<4:06:38, 1.32s/step] Training: 84%|████████▍ | 58753/70000 [20:48:14<4:08:28, 1.33s/step] Training: 84%|████████▍ | 58754/70000 [20:48:16<4:09:28, 1.33s/step] Training: 84%|████████▍ | 58755/70000 [20:48:17<4:01:25, 1.29s/step] Training: 84%|████████▍ | 58756/70000 [20:48:18<4:03:10, 1.30s/step] Training: 84%|████████▍ | 58757/70000 [20:48:20<4:05:05, 1.31s/step] Training: 84%|████████▍ | 58758/70000 [20:48:21<4:06:34, 1.32s/step] Training: 84%|████████▍ | 58759/70000 [20:48:22<4:07:42, 1.32s/step] Training: 84%|████████▍ | 58760/70000 [20:48:23<4:07:44, 1.32s/step] Training: 84%|████████▍ | 58761/70000 [20:48:25<4:08:22, 1.33s/step] Training: 84%|████████▍ | 58762/70000 [20:48:26<4:02:41, 1.30s/step] Training: 84%|████████▍ | 58763/70000 [20:48:27<3:56:44, 1.26s/step] Training: 84%|████████▍ | 58764/70000 [20:48:28<3:54:01, 1.25s/step] Training: 84%|████████▍ | 58765/70000 [20:48:30<4:05:39, 1.31s/step] Training: 84%|████████▍ | 58766/70000 [20:48:31<4:07:00, 1.32s/step] Training: 84%|████████▍ | 58767/70000 [20:48:32<4:00:38, 1.29s/step] Training: 84%|████████▍ | 58768/70000 [20:48:34<3:56:27, 1.26s/step] Training: 84%|████████▍ | 58769/70000 [20:48:35<3:54:25, 1.25s/step] Training: 84%|████████▍ | 58770/70000 [20:48:36<3:53:10, 1.25s/step] Training: 84%|████████▍ | 58771/70000 [20:48:37<3:49:51, 1.23s/step] Training: 84%|████████▍ | 58772/70000 [20:48:39<3:56:00, 1.26s/step] Training: 84%|████████▍ | 58773/70000 [20:48:40<4:05:24, 1.31s/step] Training: 84%|████████▍ | 58774/70000 [20:48:41<4:00:10, 1.28s/step] Training: 84%|████████▍ | 58775/70000 [20:48:43<4:03:45, 1.30s/step] Training: 84%|████████▍ | 58776/70000 [20:48:44<4:05:25, 1.31s/step] Training: 84%|████████▍ | 58777/70000 [20:48:45<3:59:39, 1.28s/step] Training: 84%|████████▍ | 58778/70000 [20:48:47<4:02:42, 1.30s/step] Training: 84%|████████▍ | 58779/70000 [20:48:48<3:56:41, 1.27s/step] Training: 84%|████████▍ | 58780/70000 [20:48:49<3:59:59, 1.28s/step] Training: 84%|████████▍ | 58781/70000 [20:48:50<4:03:43, 1.30s/step] Training: 84%|████████▍ | 58782/70000 [20:48:52<4:04:58, 1.31s/step] Training: 84%|████████▍ | 58783/70000 [20:48:53<4:05:59, 1.32s/step] Training: 84%|████████▍ | 58784/70000 [20:48:54<4:06:45, 1.32s/step] Training: 84%|████████▍ | 58785/70000 [20:48:56<4:07:29, 1.32s/step] Training: 84%|████████▍ | 58786/70000 [20:48:57<4:07:31, 1.32s/step] Training: 84%|████████▍ | 58787/70000 [20:48:58<4:00:11, 1.29s/step] Training: 84%|████████▍ | 58788/70000 [20:49:00<4:02:40, 1.30s/step] Training: 84%|████████▍ | 58789/70000 [20:49:01<4:07:06, 1.32s/step] Training: 84%|████████▍ | 58790/70000 [20:49:02<4:06:59, 1.32s/step] Training: 84%|████████▍ | 58791/70000 [20:49:04<4:07:10, 1.32s/step] Training: 84%|████████▍ | 58792/70000 [20:49:05<4:07:22, 1.32s/step] Training: 84%|████████▍ | 58793/70000 [20:49:06<4:07:41, 1.33s/step] Training: 84%|████████▍ | 58794/70000 [20:49:07<4:01:47, 1.29s/step] Training: 84%|████████▍ | 58795/70000 [20:49:09<3:55:51, 1.26s/step] Training: 84%|████████▍ | 58796/70000 [20:49:10<3:53:26, 1.25s/step] Training: 84%|████████▍ | 58797/70000 [20:49:11<3:57:42, 1.27s/step] Training: 84%|████████▍ | 58798/70000 [20:49:13<4:06:23, 1.32s/step] Training: 84%|████████▍ | 58799/70000 [20:49:14<4:00:29, 1.29s/step] Training: 84%|████████▍ | 58800/70000 [20:49:15<3:55:57, 1.26s/step]INFO 2026-03-13 16:59:07 ot_train.py:435 step:59K smpl:4M ep:13K epch:49.84 loss:0.008 grdn:0.594 lr:2.5e-06 updt_s:1.272 data_s:0.019 Training: 84%|████████▍ | 58801/70000 [20:49:16<3:54:37, 1.26s/step] Training: 84%|████████▍ | 58802/70000 [20:49:17<3:51:39, 1.24s/step] Training: 84%|████████▍ | 58803/70000 [20:49:19<3:48:56, 1.23s/step] Training: 84%|████████▍ | 58804/70000 [20:49:20<3:54:33, 1.26s/step] Training: 84%|████████▍ | 58805/70000 [20:49:21<3:52:45, 1.25s/step] Training: 84%|████████▍ | 58806/70000 [20:49:23<3:58:02, 1.28s/step] Training: 84%|████████▍ | 58807/70000 [20:49:24<4:00:44, 1.29s/step] Training: 84%|████████▍ | 58808/70000 [20:49:25<4:03:26, 1.31s/step] Training: 84%|████████▍ | 58809/70000 [20:49:26<3:57:47, 1.27s/step] Training: 84%|████████▍ | 58810/70000 [20:49:28<4:00:19, 1.29s/step] Training: 84%|████████▍ | 58811/70000 [20:49:29<3:54:45, 1.26s/step] Training: 84%|████████▍ | 58812/70000 [20:49:30<3:58:58, 1.28s/step] Training: 84%|████████▍ | 58813/70000 [20:49:32<3:54:49, 1.26s/step] Training: 84%|████████▍ | 58814/70000 [20:49:33<4:04:20, 1.31s/step] Training: 84%|████████▍ | 58815/70000 [20:49:34<4:04:47, 1.31s/step] Training: 84%|████████▍ | 58816/70000 [20:49:36<4:05:30, 1.32s/step] Training: 84%|████████▍ | 58817/70000 [20:49:37<4:06:38, 1.32s/step] Training: 84%|████████▍ | 58818/70000 [20:49:38<4:06:38, 1.32s/step] Training: 84%|████████▍ | 58819/70000 [20:49:39<3:59:09, 1.28s/step] Training: 84%|████████▍ | 58820/70000 [20:49:41<4:00:58, 1.29s/step] Training: 84%|████████▍ | 58821/70000 [20:49:42<4:02:45, 1.30s/step] Training: 84%|████████▍ | 58822/70000 [20:49:43<4:05:57, 1.32s/step] Training: 84%|████████▍ | 58823/70000 [20:49:45<4:06:02, 1.32s/step] Training: 84%|████████▍ | 58824/70000 [20:49:46<4:07:00, 1.33s/step] Training: 84%|████████▍ | 58825/70000 [20:49:47<4:06:58, 1.33s/step] Training: 84%|████████▍ | 58826/70000 [20:49:49<4:01:27, 1.30s/step] Training: 84%|████████▍ | 58827/70000 [20:49:50<3:55:38, 1.27s/step] Training: 84%|████████▍ | 58828/70000 [20:49:51<3:52:02, 1.25s/step] Training: 84%|████████▍ | 58829/70000 [20:49:52<3:56:14, 1.27s/step] Training: 84%|████████▍ | 58830/70000 [20:49:54<3:56:04, 1.27s/step] Training: 84%|████████▍ | 58831/70000 [20:49:55<3:51:49, 1.25s/step] Training: 84%|████████▍ | 58832/70000 [20:49:56<3:50:21, 1.24s/step] Training: 84%|████████▍ | 58833/70000 [20:49:57<3:48:13, 1.23s/step] Training: 84%|████████▍ | 58834/70000 [20:49:58<3:47:09, 1.22s/step] Training: 84%|████████▍ | 58835/70000 [20:50:00<3:45:41, 1.21s/step] Training: 84%|████████▍ | 58836/70000 [20:50:01<3:52:06, 1.25s/step] Training: 84%|████████▍ | 58837/70000 [20:50:02<3:50:58, 1.24s/step] Training: 84%|████████▍ | 58838/70000 [20:50:03<3:48:41, 1.23s/step] Training: 84%|████████▍ | 58839/70000 [20:50:05<4:00:22, 1.29s/step] Training: 84%|████████▍ | 58840/70000 [20:50:06<4:02:11, 1.30s/step] Training: 84%|████████▍ | 58841/70000 [20:50:07<3:58:12, 1.28s/step] Training: 84%|████████▍ | 58842/70000 [20:50:09<4:00:55, 1.30s/step] Training: 84%|████████▍ | 58843/70000 [20:50:10<3:55:11, 1.26s/step] Training: 84%|████████▍ | 58844/70000 [20:50:11<3:59:37, 1.29s/step] Training: 84%|████████▍ | 58845/70000 [20:50:12<3:56:11, 1.27s/step] Training: 84%|████████▍ | 58846/70000 [20:50:14<4:00:01, 1.29s/step] Training: 84%|████████▍ | 58847/70000 [20:50:15<4:07:02, 1.33s/step] Training: 84%|████████▍ | 58848/70000 [20:50:17<4:07:13, 1.33s/step] Training: 84%|████████▍ | 58849/70000 [20:50:18<3:59:28, 1.29s/step] Training: 84%|████████▍ | 58850/70000 [20:50:19<4:07:44, 1.33s/step] Training: 84%|████████▍ | 58851/70000 [20:50:20<3:59:35, 1.29s/step] Training: 84%|████████▍ | 58852/70000 [20:50:22<4:01:47, 1.30s/step] Training: 84%|████████▍ | 58853/70000 [20:50:23<4:03:44, 1.31s/step] Training: 84%|████████▍ | 58854/70000 [20:50:24<4:04:48, 1.32s/step] Training: 84%|████████▍ | 58855/70000 [20:50:26<4:06:39, 1.33s/step] Training: 84%|████████▍ | 58856/70000 [20:50:27<4:06:09, 1.33s/step] Training: 84%|████████▍ | 58857/70000 [20:50:28<4:06:23, 1.33s/step] Training: 84%|████████▍ | 58858/70000 [20:50:30<4:07:09, 1.33s/step] Training: 84%|████████▍ | 58859/70000 [20:50:31<3:59:15, 1.29s/step] Training: 84%|████████▍ | 58860/70000 [20:50:32<3:55:14, 1.27s/step] Training: 84%|████████▍ | 58861/70000 [20:50:33<3:58:36, 1.29s/step] Training: 84%|████████▍ | 58862/70000 [20:50:35<3:55:03, 1.27s/step] Training: 84%|████████▍ | 58863/70000 [20:50:36<3:51:23, 1.25s/step] Training: 84%|████████▍ | 58864/70000 [20:50:37<3:56:30, 1.27s/step] Training: 84%|████████▍ | 58865/70000 [20:50:38<3:52:12, 1.25s/step] Training: 84%|████████▍ | 58866/70000 [20:50:40<3:49:15, 1.24s/step] Training: 84%|████████▍ | 58867/70000 [20:50:41<3:46:46, 1.22s/step] Training: 84%|████████▍ | 58868/70000 [20:50:42<3:52:28, 1.25s/step] Training: 84%|████████▍ | 58869/70000 [20:50:43<3:51:21, 1.25s/step] Training: 84%|████████▍ | 58870/70000 [20:50:45<3:49:27, 1.24s/step] Training: 84%|████████▍ | 58871/70000 [20:50:46<3:53:56, 1.26s/step] Training: 84%|████████▍ | 58872/70000 [20:50:47<4:02:25, 1.31s/step] Training: 84%|████████▍ | 58873/70000 [20:50:49<3:57:56, 1.28s/step] Training: 84%|████████▍ | 58874/70000 [20:50:50<4:00:22, 1.30s/step] Training: 84%|████████▍ | 58875/70000 [20:50:51<3:54:27, 1.26s/step] Training: 84%|████████▍ | 58876/70000 [20:50:52<3:57:51, 1.28s/step] Training: 84%|████████▍ | 58877/70000 [20:50:54<3:54:03, 1.26s/step] Training: 84%|████████▍ | 58878/70000 [20:50:55<3:50:03, 1.24s/step] Training: 84%|████████▍ | 58879/70000 [20:50:56<4:06:15, 1.33s/step] Training: 84%|████████▍ | 58880/70000 [20:50:58<4:06:02, 1.33s/step] Training: 84%|████████▍ | 58881/70000 [20:50:59<3:58:35, 1.29s/step] Training: 84%|████████▍ | 58882/70000 [20:51:00<4:06:33, 1.33s/step] Training: 84%|████████▍ | 58883/70000 [20:51:01<3:58:32, 1.29s/step] Training: 84%|████████▍ | 58884/70000 [20:51:03<4:00:44, 1.30s/step] Training: 84%|████████▍ | 58885/70000 [20:51:04<4:03:36, 1.32s/step] Training: 84%|████████▍ | 58886/70000 [20:51:05<3:56:34, 1.28s/step] Training: 84%|████████▍ | 58887/70000 [20:51:07<3:59:00, 1.29s/step] Training: 84%|████████▍ | 58888/70000 [20:51:08<4:07:45, 1.34s/step] Training: 84%|████████▍ | 58889/70000 [20:51:09<4:06:59, 1.33s/step] Training: 84%|████████▍ | 58890/70000 [20:51:11<4:07:03, 1.33s/step] Training: 84%|████████▍ | 58891/70000 [20:51:12<3:58:53, 1.29s/step] Training: 84%|████████▍ | 58892/70000 [20:51:13<3:54:43, 1.27s/step] Training: 84%|████████▍ | 58893/70000 [20:51:15<3:58:13, 1.29s/step] Training: 84%|████████▍ | 58894/70000 [20:51:16<3:52:52, 1.26s/step] Training: 84%|████████▍ | 58895/70000 [20:51:17<3:54:28, 1.27s/step] Training: 84%|████████▍ | 58896/70000 [20:51:18<3:58:56, 1.29s/step] Training: 84%|████████▍ | 58897/70000 [20:51:20<3:53:43, 1.26s/step] Training: 84%|████████▍ | 58898/70000 [20:51:21<3:50:52, 1.25s/step] Training: 84%|████████▍ | 58899/70000 [20:51:22<3:47:45, 1.23s/step] Training: 84%|████████▍ | 58900/70000 [20:51:23<3:52:45, 1.26s/step]INFO 2026-03-13 17:01:15 ot_train.py:435 step:59K smpl:4M ep:13K epch:49.92 loss:0.008 grdn:2.298 lr:2.5e-06 updt_s:1.261 data_s:0.019 Training: 84%|████████▍ | 58901/70000 [20:51:24<3:51:13, 1.25s/step] Training: 84%|████████▍ | 58902/70000 [20:51:26<3:47:46, 1.23s/step] Training: 84%|████████▍ | 58903/70000 [20:51:27<3:53:02, 1.26s/step] Training: 84%|████████▍ | 58904/70000 [20:51:28<3:49:06, 1.24s/step] Training: 84%|████████▍ | 58905/70000 [20:51:30<3:55:27, 1.27s/step] Training: 84%|████████▍ | 58906/70000 [20:51:31<3:58:15, 1.29s/step] Training: 84%|████████▍ | 58907/70000 [20:51:32<3:52:56, 1.26s/step] Training: 84%|████████▍ | 58908/70000 [20:51:33<3:56:33, 1.28s/step] Training: 84%|████████▍ | 58909/70000 [20:51:35<3:54:04, 1.27s/step] Training: 84%|████████▍ | 58910/70000 [20:51:36<3:49:53, 1.24s/step] Training: 84%|████████▍ | 58911/70000 [20:51:37<3:54:54, 1.27s/step] Training: 84%|████████▍ | 58912/70000 [20:51:38<3:50:22, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=22883 Training: 84%|████████▍ | 58913/70000 [20:51:40<3:52:31, 1.26s/step] Training: 84%|████████▍ | 58914/70000 [20:51:41<4:00:30, 1.30s/step] Training: 84%|████████▍ | 58915/70000 [20:51:42<3:54:28, 1.27s/step] Training: 84%|████████▍ | 58916/70000 [20:51:44<3:58:00, 1.29s/step] Training: 84%|████████▍ | 58917/70000 [20:51:45<4:00:28, 1.30s/step] Training: 84%|████████▍ | 58918/70000 [20:51:46<3:54:12, 1.27s/step] Training: 84%|████████▍ | 58919/70000 [20:51:47<3:52:04, 1.26s/step] Training: 84%|████████▍ | 58920/70000 [20:51:48<3:48:21, 1.24s/step] Training: 84%|████████▍ | 58921/70000 [20:51:50<3:53:36, 1.27s/step] Training: 84%|████████▍ | 58922/70000 [20:51:51<4:03:06, 1.32s/step] Training: 84%|████████▍ | 58923/70000 [20:51:52<3:55:52, 1.28s/step] Training: 84%|████████▍ | 58924/70000 [20:51:54<3:52:06, 1.26s/step] Training: 84%|████████▍ | 58925/70000 [20:51:55<3:55:45, 1.28s/step] Training: 84%|████████▍ | 58926/70000 [20:51:56<3:50:46, 1.25s/step] Training: 84%|████████▍ | 58927/70000 [20:51:57<3:48:29, 1.24s/step] Training: 84%|████████▍ | 58928/70000 [20:51:59<3:45:49, 1.22s/step] Training: 84%|████████▍ | 58929/70000 [20:52:00<3:54:01, 1.27s/step] Training: 84%|████████▍ | 58930/70000 [20:52:01<3:51:19, 1.25s/step] Training: 84%|████████▍ | 58931/70000 [20:52:02<3:47:41, 1.23s/step] Training: 84%|████████▍ | 58932/70000 [20:52:04<3:52:38, 1.26s/step] Training: 84%|████████▍ | 58933/70000 [20:52:05<3:51:22, 1.25s/step] Training: 84%|████████▍ | 58934/70000 [20:52:06<3:47:43, 1.23s/step] Training: 84%|████████▍ | 58935/70000 [20:52:07<3:53:11, 1.26s/step] Training: 84%|████████▍ | 58936/70000 [20:52:09<3:49:09, 1.24s/step] Training: 84%|████████▍ | 58937/70000 [20:52:10<3:49:26, 1.24s/step] Training: 84%|████████▍ | 58938/70000 [20:52:11<3:59:34, 1.30s/step] Training: 84%|████████▍ | 58939/70000 [20:52:12<3:53:32, 1.27s/step] Training: 84%|████████▍ | 58940/70000 [20:52:14<3:56:56, 1.29s/step] Training: 84%|████████▍ | 58941/70000 [20:52:15<3:52:50, 1.26s/step] Training: 84%|████████▍ | 58942/70000 [20:52:16<3:48:55, 1.24s/step] Training: 84%|████████▍ | 58943/70000 [20:52:18<3:54:01, 1.27s/step] Training: 84%|████████▍ | 58944/70000 [20:52:19<3:49:34, 1.25s/step] Training: 84%|████████▍ | 58945/70000 [20:52:20<3:49:34, 1.25s/step] Training: 84%|████████▍ | 58946/70000 [20:52:21<3:59:56, 1.30s/step] Training: 84%|████████▍ | 58947/70000 [20:52:23<3:53:38, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=27708 Training: 84%|████████▍ | 58948/70000 [20:52:24<3:56:43, 1.29s/step] Training: 84%|████████▍ | 58949/70000 [20:52:25<3:58:49, 1.30s/step] Training: 84%|████████▍ | 58950/70000 [20:52:26<3:53:02, 1.27s/step] Training: 84%|████████▍ | 58951/70000 [20:52:28<3:50:55, 1.25s/step] Training: 84%|████████▍ | 58952/70000 [20:52:29<3:47:16, 1.23s/step] Training: 84%|████████▍ | 58953/70000 [20:52:30<3:44:38, 1.22s/step] Training: 84%|████████▍ | 58954/70000 [20:52:32<3:58:24, 1.29s/step] Training: 84%|████████▍ | 58955/70000 [20:52:33<3:52:31, 1.26s/step] Training: 84%|████████▍ | 58956/70000 [20:52:34<3:49:47, 1.25s/step] Training: 84%|████████▍ | 58957/70000 [20:52:35<3:54:21, 1.27s/step] Training: 84%|████████▍ | 58958/70000 [20:52:36<3:50:01, 1.25s/step] Training: 84%|████████▍ | 58959/70000 [20:52:38<3:48:11, 1.24s/step] Training: 84%|████████▍ | 58960/70000 [20:52:39<3:45:47, 1.23s/step] Training: 84%|████████▍ | 58961/70000 [20:52:40<3:45:26, 1.23s/step] Training: 84%|████████▍ | 58962/70000 [20:52:41<3:47:22, 1.24s/step] Training: 84%|████████▍ | 58963/70000 [20:52:43<3:44:58, 1.22s/step] Training: 84%|████████▍ | 58964/70000 [20:52:44<3:50:33, 1.25s/step] Training: 84%|████████▍ | 58965/70000 [20:52:45<3:49:33, 1.25s/step] Training: 84%|████████▍ | 58966/70000 [20:52:46<3:46:15, 1.23s/step] Training: 84%|████████▍ | 58967/70000 [20:52:48<3:52:16, 1.26s/step] Training: 84%|████████▍ | 58968/70000 [20:52:49<3:48:07, 1.24s/step] Training: 84%|████████▍ | 58969/70000 [20:52:50<3:50:13, 1.25s/step] Training: 84%|████████▍ | 58970/70000 [20:52:51<3:54:19, 1.27s/step] Training: 84%|████████▍ | 58971/70000 [20:52:53<3:49:39, 1.25s/step] Training: 84%|████████▍ | 58972/70000 [20:52:54<3:53:56, 1.27s/step] Training: 84%|████████▍ | 58973/70000 [20:52:55<3:50:38, 1.25s/step] Training: 84%|████████▍ | 58974/70000 [20:52:56<3:47:09, 1.24s/step] Training: 84%|████████▍ | 58975/70000 [20:52:58<3:52:06, 1.26s/step] Training: 84%|████████▍ | 58976/70000 [20:52:59<3:54:59, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=7068 Training: 84%|████████▍ | 58977/70000 [20:53:00<3:58:40, 1.30s/step] Training: 84%|████████▍ | 58978/70000 [20:53:02<4:00:06, 1.31s/step] Training: 84%|████████▍ | 58979/70000 [20:53:03<4:02:11, 1.32s/step] Training: 84%|████████▍ | 58980/70000 [20:53:04<3:56:38, 1.29s/step] Training: 84%|████████▍ | 58981/70000 [20:53:06<3:58:43, 1.30s/step] Training: 84%|████████▍ | 58982/70000 [20:53:07<3:52:46, 1.27s/step] Training: 84%|████████▍ | 58983/70000 [20:53:08<3:50:50, 1.26s/step] Training: 84%|████████▍ | 58984/70000 [20:53:09<3:53:48, 1.27s/step] Training: 84%|████████▍ | 58985/70000 [20:53:11<3:57:41, 1.29s/step] Training: 84%|████████▍ | 58986/70000 [20:53:12<3:59:17, 1.30s/step] Training: 84%|████████▍ | 58987/70000 [20:53:13<3:58:10, 1.30s/step] Training: 84%|████████▍ | 58988/70000 [20:53:14<3:53:04, 1.27s/step] Training: 84%|████████▍ | 58989/70000 [20:53:16<3:55:51, 1.29s/step] Training: 84%|████████▍ | 58990/70000 [20:53:17<3:50:22, 1.26s/step] Training: 84%|████████▍ | 58991/70000 [20:53:18<3:48:23, 1.24s/step] Training: 84%|████████▍ | 58992/70000 [20:53:19<3:45:18, 1.23s/step] Training: 84%|████████▍ | 58993/70000 [20:53:21<3:45:37, 1.23s/step] Training: 84%|████████▍ | 58994/70000 [20:53:22<3:44:03, 1.22s/step] Training: 84%|████████▍ | 58995/70000 [20:53:23<3:51:06, 1.26s/step] Training: 84%|████████▍ | 58996/70000 [20:53:24<3:54:33, 1.28s/step] Training: 84%|████████▍ | 58997/70000 [20:53:26<3:51:56, 1.26s/step] Training: 84%|████████▍ | 58998/70000 [20:53:27<3:47:33, 1.24s/step] Training: 84%|████████▍ | 58999/70000 [20:53:28<3:52:07, 1.27s/step] Training: 84%|████████▍ | 59000/70000 [20:53:30<4:45:25, 1.56s/step]INFO 2026-03-13 17:03:23 ot_train.py:435 step:59K smpl:4M ep:13K epch:50.01 loss:0.008 grdn:0.900 lr:2.4e-06 updt_s:1.242 data_s:0.028 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 84%|████████▍ | 59001/70000 [20:53:35<7:07:56, 2.33s/step] Training: 84%|████████▍ | 59002/70000 [20:53:36<6:15:25, 2.05s/step] Training: 84%|████████▍ | 59003/70000 [20:53:37<5:40:05, 1.86s/step] Training: 84%|████████▍ | 59004/70000 [20:53:39<5:12:31, 1.71s/step] Training: 84%|████████▍ | 59005/70000 [20:53:40<4:48:14, 1.57s/step] Training: 84%|████████▍ | 59006/70000 [20:53:41<4:27:04, 1.46s/step] Training: 84%|████████▍ | 59007/70000 [20:53:43<4:22:44, 1.43s/step] Training: 84%|████████▍ | 59008/70000 [20:53:44<4:14:25, 1.39s/step] Training: 84%|████████▍ | 59009/70000 [20:53:45<4:11:42, 1.37s/step] Training: 84%|████████▍ | 59010/70000 [20:53:47<4:09:19, 1.36s/step] Training: 84%|████████▍ | 59011/70000 [20:53:48<4:00:18, 1.31s/step] Training: 84%|████████▍ | 59012/70000 [20:53:49<4:02:13, 1.32s/step] Training: 84%|████████▍ | 59013/70000 [20:53:50<4:02:42, 1.33s/step] Training: 84%|████████▍ | 59014/70000 [20:53:52<3:55:27, 1.29s/step] Training: 84%|████████▍ | 59015/70000 [20:53:53<3:52:18, 1.27s/step] Training: 84%|████████▍ | 59016/70000 [20:53:54<3:47:42, 1.24s/step] Training: 84%|████████▍ | 59017/70000 [20:53:55<3:59:49, 1.31s/step] Training: 84%|████████▍ | 59018/70000 [20:53:57<4:01:27, 1.32s/step] Training: 84%|████████▍ | 59019/70000 [20:53:58<3:54:16, 1.28s/step] Training: 84%|████████▍ | 59020/70000 [20:53:59<3:58:37, 1.30s/step] Training: 84%|████████▍ | 59021/70000 [20:54:01<3:59:17, 1.31s/step] Training: 84%|████████▍ | 59022/70000 [20:54:02<3:52:50, 1.27s/step] Training: 84%|████████▍ | 59023/70000 [20:54:03<3:49:48, 1.26s/step] Training: 84%|████████▍ | 59024/70000 [20:54:04<3:54:22, 1.28s/step] Training: 84%|████████▍ | 59025/70000 [20:54:06<3:59:00, 1.31s/step] Training: 84%|████████▍ | 59026/70000 [20:54:07<3:53:38, 1.28s/step] Training: 84%|████████▍ | 59027/70000 [20:54:08<3:48:47, 1.25s/step] Training: 84%|████████▍ | 59028/70000 [20:54:10<3:59:03, 1.31s/step] Training: 84%|████████▍ | 59029/70000 [20:54:11<3:54:25, 1.28s/step] Training: 84%|████████▍ | 59030/70000 [20:54:12<3:49:10, 1.25s/step] Training: 84%|████████▍ | 59031/70000 [20:54:13<3:53:39, 1.28s/step] Training: 84%|████████▍ | 59032/70000 [20:54:15<3:49:13, 1.25s/step] Training: 84%|████████▍ | 59033/70000 [20:54:16<3:49:43, 1.26s/step] Training: 84%|████████▍ | 59034/70000 [20:54:17<3:53:45, 1.28s/step] Training: 84%|████████▍ | 59035/70000 [20:54:18<3:48:51, 1.25s/step] Training: 84%|████████▍ | 59036/70000 [20:54:20<3:54:31, 1.28s/step] Training: 84%|████████▍ | 59037/70000 [20:54:21<3:49:37, 1.26s/step] Training: 84%|████████▍ | 59038/70000 [20:54:22<3:46:04, 1.24s/step] Training: 84%|████████▍ | 59039/70000 [20:54:23<3:51:38, 1.27s/step] Training: 84%|████████▍ | 59040/70000 [20:54:25<3:49:19, 1.26s/step] Training: 84%|████████▍ | 59041/70000 [20:54:26<3:53:37, 1.28s/step] Training: 84%|████████▍ | 59042/70000 [20:54:27<3:56:32, 1.30s/step] Training: 84%|████████▍ | 59043/70000 [20:54:29<3:50:45, 1.26s/step] Training: 84%|████████▍ | 59044/70000 [20:54:30<3:51:59, 1.27s/step] Training: 84%|████████▍ | 59045/70000 [20:54:31<3:47:01, 1.24s/step] Training: 84%|████████▍ | 59046/70000 [20:54:32<3:51:27, 1.27s/step] Training: 84%|████████▍ | 59047/70000 [20:54:34<3:50:09, 1.26s/step] Training: 84%|████████▍ | 59048/70000 [20:54:35<3:46:17, 1.24s/step] Training: 84%|████████▍ | 59049/70000 [20:54:36<3:58:33, 1.31s/step] Training: 84%|████████▍ | 59050/70000 [20:54:38<3:59:37, 1.31s/step] Training: 84%|████████▍ | 59051/70000 [20:54:39<3:52:40, 1.28s/step] Training: 84%|████████▍ | 59052/70000 [20:54:40<3:49:35, 1.26s/step] Training: 84%|████████▍ | 59053/70000 [20:54:41<3:59:20, 1.31s/step] Training: 84%|████████▍ | 59054/70000 [20:54:43<3:52:41, 1.28s/step] Training: 84%|████████▍ | 59055/70000 [20:54:44<3:48:48, 1.25s/step] Training: 84%|████████▍ | 59056/70000 [20:54:45<3:52:32, 1.27s/step] Training: 84%|████████▍ | 59057/70000 [20:54:46<3:57:34, 1.30s/step] Training: 84%|████████▍ | 59058/70000 [20:54:48<3:52:01, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=12808 Training: 84%|████████▍ | 59059/70000 [20:54:49<3:47:23, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=74980 Training: 84%|████████▍ | 59060/70000 [20:54:50<3:51:23, 1.27s/step] Training: 84%|████████▍ | 59061/70000 [20:54:51<3:53:08, 1.28s/step] Training: 84%|████████▍ | 59062/70000 [20:54:53<3:48:04, 1.25s/step] Training: 84%|████████▍ | 59063/70000 [20:54:54<3:52:18, 1.27s/step] Training: 84%|████████▍ | 59064/70000 [20:54:55<3:48:33, 1.25s/step] Training: 84%|████████▍ | 59065/70000 [20:54:56<3:48:36, 1.25s/step] Training: 84%|████████▍ | 59066/70000 [20:54:58<3:52:47, 1.28s/step] Training: 84%|████████▍ | 59067/70000 [20:54:59<3:47:56, 1.25s/step] Training: 84%|████████▍ | 59068/70000 [20:55:00<3:51:39, 1.27s/step] Training: 84%|████████▍ | 59069/70000 [20:55:02<3:49:57, 1.26s/step] Training: 84%|████████▍ | 59070/70000 [20:55:03<3:46:14, 1.24s/step] Training: 84%|████████▍ | 59071/70000 [20:55:04<3:51:57, 1.27s/step] Training: 84%|████████▍ | 59072/70000 [20:55:05<3:49:18, 1.26s/step] Training: 84%|████████▍ | 59073/70000 [20:55:07<3:53:18, 1.28s/step] Training: 84%|████████▍ | 59074/70000 [20:55:08<3:56:16, 1.30s/step] Training: 84%|████████▍ | 59075/70000 [20:55:09<3:50:46, 1.27s/step] Training: 84%|████████▍ | 59076/70000 [20:55:10<3:49:06, 1.26s/step] Training: 84%|████████▍ | 59077/70000 [20:55:12<3:45:26, 1.24s/step] Training: 84%|████████▍ | 59078/70000 [20:55:13<3:56:16, 1.30s/step] Training: 84%|████████▍ | 59079/70000 [20:55:14<3:52:05, 1.28s/step] Training: 84%|████████▍ | 59080/70000 [20:55:15<3:47:41, 1.25s/step] Training: 84%|████████▍ | 59081/70000 [20:55:17<3:59:45, 1.32s/step] Training: 84%|████████▍ | 59082/70000 [20:55:18<4:01:09, 1.33s/step] Training: 84%|████████▍ | 59083/70000 [20:55:19<3:53:44, 1.28s/step] Training: 84%|████████▍ | 59084/70000 [20:55:21<3:49:57, 1.26s/step] Training: 84%|████████▍ | 59085/70000 [20:55:22<3:57:11, 1.30s/step] Training: 84%|████████▍ | 59086/70000 [20:55:23<3:50:59, 1.27s/step] Training: 84%|████████▍ | 59087/70000 [20:55:24<3:47:08, 1.25s/step] Training: 84%|████████▍ | 59088/70000 [20:55:26<3:51:37, 1.27s/step] Training: 84%|████████▍ | 59089/70000 [20:55:27<3:56:49, 1.30s/step] Training: 84%|████████▍ | 59090/70000 [20:55:28<3:52:05, 1.28s/step] Training: 84%|████████▍ | 59091/70000 [20:55:30<3:47:26, 1.25s/step] Training: 84%|████████▍ | 59092/70000 [20:55:31<3:51:12, 1.27s/step] Training: 84%|████████▍ | 59093/70000 [20:55:32<3:54:28, 1.29s/step] Training: 84%|████████▍ | 59094/70000 [20:55:33<3:49:02, 1.26s/step] Training: 84%|████████▍ | 59095/70000 [20:55:35<3:52:39, 1.28s/step] Training: 84%|████████▍ | 59096/70000 [20:55:36<3:48:00, 1.25s/step] Training: 84%|████████▍ | 59097/70000 [20:55:37<3:47:34, 1.25s/step] Training: 84%|████████▍ | 59098/70000 [20:55:39<3:52:17, 1.28s/step] Training: 84%|████████▍ | 59099/70000 [20:55:40<3:47:25, 1.25s/step] Training: 84%|████████▍ | 59100/70000 [20:55:41<3:51:50, 1.28s/step]INFO 2026-03-13 17:05:33 ot_train.py:435 step:59K smpl:4M ep:13K epch:50.09 loss:0.007 grdn:0.581 lr:2.4e-06 updt_s:1.256 data_s:0.048 Training: 84%|████████▍ | 59101/70000 [20:55:42<3:54:33, 1.29s/step] Training: 84%|████████▍ | 59102/70000 [20:55:44<3:57:35, 1.31s/step] Training: 84%|████████▍ | 59103/70000 [20:55:45<3:57:50, 1.31s/step] Training: 84%|████████▍ | 59104/70000 [20:55:46<3:53:31, 1.29s/step] Training: 84%|████████▍ | 59105/70000 [20:55:48<3:56:01, 1.30s/step] Training: 84%|████████▍ | 59106/70000 [20:55:49<3:57:06, 1.31s/step] Training: 84%|████████▍ | 59107/70000 [20:55:50<3:50:39, 1.27s/step] Training: 84%|████████▍ | 59108/70000 [20:55:51<3:47:54, 1.26s/step] Training: 84%|████████▍ | 59109/70000 [20:55:53<3:45:26, 1.24s/step] Training: 84%|████████▍ | 59110/70000 [20:55:54<3:47:57, 1.26s/step] Training: 84%|████████▍ | 59111/70000 [20:55:55<3:45:58, 1.25s/step] Training: 84%|████████▍ | 59112/70000 [20:55:56<3:42:55, 1.23s/step] Training: 84%|████████▍ | 59113/70000 [20:55:58<3:55:54, 1.30s/step] Training: 84%|████████▍ | 59114/70000 [20:55:59<3:57:02, 1.31s/step] Training: 84%|████████▍ | 59115/70000 [20:56:00<3:50:38, 1.27s/step] Training: 84%|████████▍ | 59116/70000 [20:56:01<3:48:03, 1.26s/step] Training: 84%|████████▍ | 59117/70000 [20:56:03<3:52:07, 1.28s/step] Training: 84%|████████▍ | 59118/70000 [20:56:04<3:56:03, 1.30s/step] Training: 84%|████████▍ | 59119/70000 [20:56:05<3:50:18, 1.27s/step] Training: 84%|████████▍ | 59120/70000 [20:56:07<3:53:07, 1.29s/step] Training: 84%|████████▍ | 59121/70000 [20:56:08<3:58:21, 1.31s/step] Training: 84%|████████▍ | 59122/70000 [20:56:09<3:52:51, 1.28s/step] Training: 84%|████████▍ | 59123/70000 [20:56:10<3:47:53, 1.26s/step] Training: 84%|████████▍ | 59124/70000 [20:56:12<3:51:30, 1.28s/step] Training: 84%|████████▍ | 59125/70000 [20:56:13<3:54:41, 1.29s/step] Training: 84%|████████▍ | 59126/70000 [20:56:14<3:57:55, 1.31s/step] Training: 84%|████████▍ | 59127/70000 [20:56:16<3:57:54, 1.31s/step] Training: 84%|████████▍ | 59128/70000 [20:56:17<3:51:48, 1.28s/step] Training: 84%|████████▍ | 59129/70000 [20:56:18<3:49:41, 1.27s/step] Training: 84%|████████▍ | 59130/70000 [20:56:20<3:53:12, 1.29s/step] Training: 84%|████████▍ | 59131/70000 [20:56:21<3:47:43, 1.26s/step] Training: 84%|████████▍ | 59132/70000 [20:56:22<3:52:14, 1.28s/step] Training: 84%|████████▍ | 59133/70000 [20:56:23<3:55:04, 1.30s/step] Training: 84%|████████▍ | 59134/70000 [20:56:25<3:49:23, 1.27s/step] Training: 84%|████████▍ | 59135/70000 [20:56:26<3:59:58, 1.33s/step] Training: 84%|████████▍ | 59136/70000 [20:56:27<3:54:26, 1.29s/step] Training: 84%|████████▍ | 59137/70000 [20:56:29<3:56:43, 1.31s/step] Training: 84%|████████▍ | 59138/70000 [20:56:30<3:57:32, 1.31s/step] Training: 84%|████████▍ | 59139/70000 [20:56:31<3:50:54, 1.28s/step] Training: 84%|████████▍ | 59140/70000 [20:56:32<3:48:40, 1.26s/step] Training: 84%|████████▍ | 59141/70000 [20:56:34<3:46:00, 1.25s/step] Training: 84%|████████▍ | 59142/70000 [20:56:35<3:42:54, 1.23s/step] Training: 84%|████████▍ | 59143/70000 [20:56:36<3:48:49, 1.26s/step] Training: 84%|████████▍ | 59144/70000 [20:56:37<3:44:20, 1.24s/step] Training: 84%|████████▍ | 59145/70000 [20:56:39<3:56:00, 1.30s/step] Training: 84%|████████▍ | 59146/70000 [20:56:40<3:57:28, 1.31s/step] Training: 84%|████████▍ | 59147/70000 [20:56:41<3:50:44, 1.28s/step] Training: 84%|████████▍ | 59148/70000 [20:56:42<3:47:36, 1.26s/step] Training: 84%|████████▍ | 59149/70000 [20:56:44<3:52:08, 1.28s/step] Training: 84%|████████▍ | 59150/70000 [20:56:45<3:47:10, 1.26s/step] Training: 85%|████████▍ | 59151/70000 [20:56:46<3:46:09, 1.25s/step] Training: 85%|████████▍ | 59152/70000 [20:56:48<3:50:35, 1.28s/step] Training: 85%|████████▍ | 59153/70000 [20:56:49<3:55:33, 1.30s/step] Training: 85%|████████▍ | 59154/70000 [20:56:50<3:50:30, 1.28s/step] Training: 85%|████████▍ | 59155/70000 [20:56:51<3:45:54, 1.25s/step] Training: 85%|████████▍ | 59156/70000 [20:56:53<3:49:55, 1.27s/step] Training: 85%|████████▍ | 59157/70000 [20:56:54<3:53:14, 1.29s/step] Training: 85%|████████▍ | 59158/70000 [20:56:55<3:47:52, 1.26s/step] Training: 85%|████████▍ | 59159/70000 [20:56:57<3:51:08, 1.28s/step] Training: 85%|████████▍ | 59160/70000 [20:56:58<3:46:51, 1.26s/step] Training: 85%|████████▍ | 59161/70000 [20:56:59<3:46:09, 1.25s/step] Training: 85%|████████▍ | 59162/70000 [20:57:00<3:51:13, 1.28s/step] Training: 85%|████████▍ | 59163/70000 [20:57:02<3:46:12, 1.25s/step] Training: 85%|████████▍ | 59164/70000 [20:57:03<3:50:03, 1.27s/step] Training: 85%|████████▍ | 59165/70000 [20:57:04<3:53:13, 1.29s/step] Training: 85%|████████▍ | 59166/70000 [20:57:05<3:47:40, 1.26s/step] Training: 85%|████████▍ | 59167/70000 [20:57:07<3:51:33, 1.28s/step] Training: 85%|████████▍ | 59168/70000 [20:57:08<3:54:44, 1.30s/step] Training: 85%|████████▍ | 59169/70000 [20:57:09<3:55:49, 1.31s/step] Training: 85%|████████▍ | 59170/70000 [20:57:11<3:57:25, 1.32s/step] Training: 85%|████████▍ | 59171/70000 [20:57:12<3:50:31, 1.28s/step] Training: 85%|████████▍ | 59172/70000 [20:57:13<3:47:46, 1.26s/step] Training: 85%|████████▍ | 59173/70000 [20:57:14<3:45:09, 1.25s/step] Training: 85%|████████▍ | 59174/70000 [20:57:16<3:42:11, 1.23s/step] Training: 85%|████████▍ | 59175/70000 [20:57:17<3:42:07, 1.23s/step] Training: 85%|████████▍ | 59176/70000 [20:57:18<3:44:00, 1.24s/step] Training: 85%|████████▍ | 59177/70000 [20:57:19<3:55:35, 1.31s/step] Training: 85%|████████▍ | 59178/70000 [20:57:21<3:57:02, 1.31s/step] Training: 85%|████████▍ | 59179/70000 [20:57:22<3:50:18, 1.28s/step] Training: 85%|████████▍ | 59180/70000 [20:57:23<3:46:27, 1.26s/step] Training: 85%|████████▍ | 59181/70000 [20:57:25<3:50:33, 1.28s/step] Training: 85%|████████▍ | 59182/70000 [20:57:26<3:45:50, 1.25s/step] Training: 85%|████████▍ | 59183/70000 [20:57:27<3:43:07, 1.24s/step] Training: 85%|████████▍ | 59184/70000 [20:57:28<3:47:47, 1.26s/step] Training: 85%|████████▍ | 59185/70000 [20:57:30<3:56:13, 1.31s/step] Training: 85%|████████▍ | 59186/70000 [20:57:31<3:51:01, 1.28s/step] Training: 85%|████████▍ | 59187/70000 [20:57:32<3:45:57, 1.25s/step] Training: 85%|████████▍ | 59188/70000 [20:57:33<3:49:59, 1.28s/step] Training: 85%|████████▍ | 59189/70000 [20:57:35<3:53:34, 1.30s/step] Training: 85%|████████▍ | 59190/70000 [20:57:36<3:47:47, 1.26s/step] Training: 85%|████████▍ | 59191/70000 [20:57:37<3:51:28, 1.28s/step] Training: 85%|████████▍ | 59192/70000 [20:57:39<3:56:14, 1.31s/step] Training: 85%|████████▍ | 59193/70000 [20:57:40<3:52:35, 1.29s/step] Training: 85%|████████▍ | 59194/70000 [20:57:41<3:54:41, 1.30s/step] Training: 85%|████████▍ | 59195/70000 [20:57:42<3:48:34, 1.27s/step] Training: 85%|████████▍ | 59196/70000 [20:57:44<3:52:48, 1.29s/step] Training: 85%|████████▍ | 59197/70000 [20:57:45<3:54:59, 1.31s/step] Training: 85%|████████▍ | 59198/70000 [20:57:46<3:48:51, 1.27s/step] Training: 85%|████████▍ | 59199/70000 [20:57:48<3:51:51, 1.29s/step] Training: 85%|████████▍ | 59200/70000 [20:57:49<3:48:33, 1.27s/step]INFO 2026-03-13 17:07:41 ot_train.py:435 step:59K smpl:4M ep:13K epch:50.18 loss:0.007 grdn:0.619 lr:2.4e-06 updt_s:1.257 data_s:0.019 Training: 85%|████████▍ | 59201/70000 [20:57:50<3:55:59, 1.31s/step] Training: 85%|████████▍ | 59202/70000 [20:57:52<3:57:05, 1.32s/step] Training: 85%|████████▍ | 59203/70000 [20:57:53<3:50:15, 1.28s/step] Training: 85%|████████▍ | 59204/70000 [20:57:54<3:48:38, 1.27s/step] Training: 85%|████████▍ | 59205/70000 [20:57:55<3:45:30, 1.25s/step] Training: 85%|████████▍ | 59206/70000 [20:57:56<3:42:21, 1.24s/step] Training: 85%|████████▍ | 59207/70000 [20:57:58<3:41:46, 1.23s/step] Training: 85%|████████▍ | 59208/70000 [20:57:59<3:39:25, 1.22s/step] Training: 85%|████████▍ | 59209/70000 [20:58:00<3:54:13, 1.30s/step] Training: 85%|████████▍ | 59210/70000 [20:58:02<3:49:41, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=12808 Training: 85%|████████▍ | 59211/70000 [20:58:03<3:44:56, 1.25s/step] Training: 85%|████████▍ | 59212/70000 [20:58:04<3:42:28, 1.24s/step] Training: 85%|████████▍ | 59213/70000 [20:58:05<3:48:14, 1.27s/step] Training: 85%|████████▍ | 59214/70000 [20:58:06<3:44:12, 1.25s/step] Training: 85%|████████▍ | 59215/70000 [20:58:08<3:42:07, 1.24s/step] Training: 85%|████████▍ | 59216/70000 [20:58:09<3:39:46, 1.22s/step] Training: 85%|████████▍ | 59217/70000 [20:58:10<3:47:31, 1.27s/step] Training: 85%|████████▍ | 59218/70000 [20:58:11<3:43:25, 1.24s/step] Training: 85%|████████▍ | 59219/70000 [20:58:13<3:46:46, 1.26s/step] Training: 85%|████████▍ | 59220/70000 [20:58:14<3:50:54, 1.29s/step] Training: 85%|████████▍ | 59221/70000 [20:58:15<3:53:14, 1.30s/step] Training: 85%|████████▍ | 59222/70000 [20:58:17<3:47:31, 1.27s/step] Training: 85%|████████▍ | 59223/70000 [20:58:18<3:50:46, 1.28s/step] Training: 85%|████████▍ | 59224/70000 [20:58:19<3:47:12, 1.27s/step] Training: 85%|████████▍ | 59225/70000 [20:58:20<3:47:11, 1.27s/step] Training: 85%|████████▍ | 59226/70000 [20:58:22<3:50:55, 1.29s/step] Training: 85%|████████▍ | 59227/70000 [20:58:23<3:45:37, 1.26s/step] Training: 85%|████████▍ | 59228/70000 [20:58:24<3:49:35, 1.28s/step] Training: 85%|████████▍ | 59229/70000 [20:58:26<3:52:26, 1.29s/step] Training: 85%|████████▍ | 59230/70000 [20:58:27<3:46:54, 1.26s/step] Training: 85%|████████▍ | 59231/70000 [20:58:28<3:50:21, 1.28s/step] Training: 85%|████████▍ | 59232/70000 [20:58:29<3:47:19, 1.27s/step] Training: 85%|████████▍ | 59233/70000 [20:58:31<3:50:29, 1.28s/step] Training: 85%|████████▍ | 59234/70000 [20:58:32<3:46:10, 1.26s/step] Training: 85%|████████▍ | 59235/70000 [20:58:33<3:42:21, 1.24s/step] Training: 85%|████████▍ | 59236/70000 [20:58:34<3:41:29, 1.23s/step] Training: 85%|████████▍ | 59237/70000 [20:58:36<3:39:45, 1.23s/step] Training: 85%|████████▍ | 59238/70000 [20:58:37<3:37:58, 1.22s/step] Training: 85%|████████▍ | 59239/70000 [20:58:38<3:38:38, 1.22s/step] Training: 85%|████████▍ | 59240/70000 [20:58:39<3:36:59, 1.21s/step] Training: 85%|████████▍ | 59241/70000 [20:58:41<3:50:18, 1.28s/step] Training: 85%|████████▍ | 59242/70000 [20:58:42<3:53:42, 1.30s/step] Training: 85%|████████▍ | 59243/70000 [20:58:43<3:47:05, 1.27s/step] Training: 85%|████████▍ | 59244/70000 [20:58:44<3:44:20, 1.25s/step] Training: 85%|████████▍ | 59245/70000 [20:58:46<3:48:16, 1.27s/step] Training: 85%|████████▍ | 59246/70000 [20:58:47<3:43:48, 1.25s/step] Training: 85%|████████▍ | 59247/70000 [20:58:48<3:41:14, 1.23s/step] Training: 85%|████████▍ | 59248/70000 [20:58:49<3:38:46, 1.22s/step] Training: 85%|████████▍ | 59249/70000 [20:58:51<3:47:11, 1.27s/step] Training: 85%|████████▍ | 59250/70000 [20:58:52<3:46:55, 1.27s/step] Training: 85%|████████▍ | 59251/70000 [20:58:53<3:48:53, 1.28s/step] Training: 85%|████████▍ | 59252/70000 [20:58:54<3:51:35, 1.29s/step] Training: 85%|████████▍ | 59253/70000 [20:58:56<3:53:34, 1.30s/step] Training: 85%|████████▍ | 59254/70000 [20:58:57<3:47:29, 1.27s/step] Training: 85%|████████▍ | 59255/70000 [20:58:58<3:50:44, 1.29s/step] Training: 85%|████████▍ | 59256/70000 [20:59:00<3:47:17, 1.27s/step] Training: 85%|████████▍ | 59257/70000 [20:59:01<3:46:04, 1.26s/step] Training: 85%|████████▍ | 59258/70000 [20:59:02<3:49:46, 1.28s/step] Training: 85%|████████▍ | 59259/70000 [20:59:03<3:53:03, 1.30s/step] Training: 85%|████████▍ | 59260/70000 [20:59:05<3:53:38, 1.31s/step] Training: 85%|████████▍ | 59261/70000 [20:59:06<3:55:09, 1.31s/step] Training: 85%|████████▍ | 59262/70000 [20:59:07<3:48:44, 1.28s/step] Training: 85%|████████▍ | 59263/70000 [20:59:09<3:51:46, 1.30s/step] Training: 85%|████████▍ | 59264/70000 [20:59:10<3:47:10, 1.27s/step] Training: 85%|████████▍ | 59265/70000 [20:59:11<3:50:19, 1.29s/step] Training: 85%|████████▍ | 59266/70000 [20:59:13<3:54:05, 1.31s/step] Training: 85%|████████▍ | 59267/70000 [20:59:14<3:47:05, 1.27s/step] Training: 85%|████████▍ | 59268/70000 [20:59:15<3:44:55, 1.26s/step] Training: 85%|████████▍ | 59269/70000 [20:59:16<3:43:01, 1.25s/step] Training: 85%|████████▍ | 59270/70000 [20:59:17<3:40:10, 1.23s/step] Training: 85%|████████▍ | 59271/70000 [20:59:19<3:39:57, 1.23s/step] Training: 85%|████████▍ | 59272/70000 [20:59:20<3:45:01, 1.26s/step] Training: 85%|████████▍ | 59273/70000 [20:59:21<3:49:20, 1.28s/step] Training: 85%|████████▍ | 59274/70000 [20:59:23<3:51:46, 1.30s/step] Training: 85%|████████▍ | 59275/70000 [20:59:24<3:55:33, 1.32s/step] Training: 85%|████████▍ | 59276/70000 [20:59:25<3:49:33, 1.28s/step] Training: 85%|████████▍ | 59277/70000 [20:59:27<3:52:08, 1.30s/step] Training: 85%|████████▍ | 59278/70000 [20:59:28<3:46:14, 1.27s/step] Training: 85%|████████▍ | 59279/70000 [20:59:29<3:43:44, 1.25s/step] Training: 85%|████████▍ | 59280/70000 [20:59:30<3:47:17, 1.27s/step] Training: 85%|████████▍ | 59281/70000 [20:59:31<3:44:58, 1.26s/step] Training: 85%|████████▍ | 59282/70000 [20:59:33<3:44:43, 1.26s/step] Training: 85%|████████▍ | 59283/70000 [20:59:34<3:49:28, 1.28s/step] Training: 85%|████████▍ | 59284/70000 [20:59:35<3:50:59, 1.29s/step] Training: 85%|████████▍ | 59285/70000 [20:59:37<3:53:12, 1.31s/step] Training: 85%|████████▍ | 59286/70000 [20:59:38<3:46:54, 1.27s/step] Training: 85%|████████▍ | 59287/70000 [20:59:39<3:49:12, 1.28s/step] Training: 85%|████████▍ | 59288/70000 [20:59:40<3:45:51, 1.27s/step] Training: 85%|████████▍ | 59289/70000 [20:59:42<3:42:57, 1.25s/step] Training: 85%|████████▍ | 59290/70000 [20:59:43<3:47:13, 1.27s/step] Training: 85%|████████▍ | 59291/70000 [20:59:44<3:42:38, 1.25s/step] Training: 85%|████████▍ | 59292/70000 [20:59:46<3:46:57, 1.27s/step] Training: 85%|████████▍ | 59293/70000 [20:59:47<3:49:42, 1.29s/step] Training: 85%|████████▍ | 59294/70000 [20:59:48<3:44:41, 1.26s/step] Training: 85%|████████▍ | 59295/70000 [20:59:49<3:47:53, 1.28s/step] Training: 85%|████████▍ | 59296/70000 [20:59:51<3:43:55, 1.26s/step] Training: 85%|████████▍ | 59297/70000 [20:59:52<3:40:22, 1.24s/step] Training: 85%|████████▍ | 59298/70000 [20:59:53<3:50:34, 1.29s/step] Training: 85%|████████▍ | 59299/70000 [20:59:54<3:48:01, 1.28s/step] Training: 85%|████████▍ | 59300/70000 [20:59:56<3:44:54, 1.26s/step]INFO 2026-03-13 17:09:48 ot_train.py:435 step:59K smpl:4M ep:13K epch:50.26 loss:0.008 grdn:0.589 lr:2.4e-06 updt_s:1.247 data_s:0.019 Training: 85%|████████▍ | 59301/70000 [20:59:57<3:42:11, 1.25s/step] Training: 85%|████████▍ | 59302/70000 [20:59:58<3:39:37, 1.23s/step] Training: 85%|████████▍ | 59303/70000 [20:59:59<3:39:02, 1.23s/step] Training: 85%|████████▍ | 59304/70000 [21:00:01<3:44:04, 1.26s/step] Training: 85%|████████▍ | 59305/70000 [21:00:02<3:40:39, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10281 Training: 85%|████████▍ | 59306/70000 [21:00:03<3:45:51, 1.27s/step] Training: 85%|████████▍ | 59307/70000 [21:00:04<3:44:34, 1.26s/step] Training: 85%|████████▍ | 59308/70000 [21:00:06<3:41:22, 1.24s/step] Training: 85%|████████▍ | 59309/70000 [21:00:07<3:46:29, 1.27s/step] Training: 85%|████████▍ | 59310/70000 [21:00:08<3:42:30, 1.25s/step] Training: 85%|████████▍ | 59311/70000 [21:00:09<3:40:12, 1.24s/step] Training: 85%|████████▍ | 59312/70000 [21:00:11<3:46:03, 1.27s/step] Training: 85%|████████▍ | 59313/70000 [21:00:12<3:49:00, 1.29s/step] Training: 85%|████████▍ | 59314/70000 [21:00:13<3:51:29, 1.30s/step] Training: 85%|████████▍ | 59315/70000 [21:00:14<3:45:39, 1.27s/step] Training: 85%|████████▍ | 59316/70000 [21:00:16<3:55:36, 1.32s/step] Training: 85%|████████▍ | 59317/70000 [21:00:17<3:55:43, 1.32s/step] Training: 85%|████████▍ | 59318/70000 [21:00:18<3:48:42, 1.28s/step] Training: 85%|████████▍ | 59319/70000 [21:00:20<3:51:20, 1.30s/step] Training: 85%|████████▍ | 59320/70000 [21:00:21<3:47:12, 1.28s/step] Training: 85%|████████▍ | 59321/70000 [21:00:22<3:50:18, 1.29s/step] Training: 85%|████████▍ | 59322/70000 [21:00:24<3:51:59, 1.30s/step] Training: 85%|████████▍ | 59323/70000 [21:00:25<3:45:53, 1.27s/step] Training: 85%|████████▍ | 59324/70000 [21:00:26<3:53:37, 1.31s/step] Training: 85%|████████▍ | 59325/70000 [21:00:28<3:49:27, 1.29s/step] Training: 85%|████████▍ | 59326/70000 [21:00:29<3:43:57, 1.26s/step] Training: 85%|████████▍ | 59327/70000 [21:00:30<3:47:27, 1.28s/step] Training: 85%|████████▍ | 59328/70000 [21:00:31<3:44:16, 1.26s/step] Training: 85%|████████▍ | 59329/70000 [21:00:32<3:41:53, 1.25s/step] Training: 85%|████████▍ | 59330/70000 [21:00:34<3:46:55, 1.28s/step] Training: 85%|████████▍ | 59331/70000 [21:00:35<3:42:20, 1.25s/step] Training: 85%|████████▍ | 59332/70000 [21:00:36<3:49:35, 1.29s/step] Training: 85%|████████▍ | 59333/70000 [21:00:38<3:44:13, 1.26s/step] Training: 85%|████████▍ | 59334/70000 [21:00:39<3:40:41, 1.24s/step] Training: 85%|████████▍ | 59335/70000 [21:00:40<3:39:22, 1.23s/step] Training: 85%|████████▍ | 59336/70000 [21:00:41<3:44:23, 1.26s/step] Training: 85%|████████▍ | 59337/70000 [21:00:43<3:48:30, 1.29s/step] Training: 85%|████████▍ | 59338/70000 [21:00:44<3:50:55, 1.30s/step] Training: 85%|████████▍ | 59339/70000 [21:00:45<3:45:09, 1.27s/step] Training: 85%|████████▍ | 59340/70000 [21:00:47<3:50:17, 1.30s/step] Training: 85%|████████▍ | 59341/70000 [21:00:48<3:51:32, 1.30s/step] Training: 85%|████████▍ | 59342/70000 [21:00:49<3:45:44, 1.27s/step] Training: 85%|████████▍ | 59343/70000 [21:00:50<3:42:04, 1.25s/step] Training: 85%|████████▍ | 59344/70000 [21:00:52<3:46:08, 1.27s/step] Training: 85%|████████▍ | 59345/70000 [21:00:53<3:49:15, 1.29s/step] Training: 85%|████████▍ | 59346/70000 [21:00:54<3:51:37, 1.30s/step] Training: 85%|████████▍ | 59347/70000 [21:00:55<3:45:24, 1.27s/step] Training: 85%|████████▍ | 59348/70000 [21:00:57<3:47:56, 1.28s/step] Training: 85%|████████▍ | 59349/70000 [21:00:58<3:55:38, 1.33s/step] Training: 85%|████████▍ | 59350/70000 [21:00:59<3:48:18, 1.29s/step] Training: 85%|████████▍ | 59351/70000 [21:01:01<3:50:11, 1.30s/step] Training: 85%|████████▍ | 59352/70000 [21:01:02<3:45:55, 1.27s/step] Training: 85%|████████▍ | 59353/70000 [21:01:03<3:49:21, 1.29s/step] Training: 85%|████████▍ | 59354/70000 [21:01:04<3:45:14, 1.27s/step] Training: 85%|████████▍ | 59355/70000 [21:01:06<3:41:02, 1.25s/step] Training: 85%|████████▍ | 59356/70000 [21:01:07<3:45:17, 1.27s/step] Training: 85%|████████▍ | 59357/70000 [21:01:08<3:49:37, 1.29s/step] Training: 85%|████████▍ | 59358/70000 [21:01:10<3:43:30, 1.26s/step] Training: 85%|████████▍ | 59359/70000 [21:01:11<3:46:46, 1.28s/step] Training: 85%|████████▍ | 59360/70000 [21:01:12<3:44:10, 1.26s/step] Training: 85%|████████▍ | 59361/70000 [21:01:13<3:41:18, 1.25s/step] Training: 85%|████████▍ | 59362/70000 [21:01:15<3:48:02, 1.29s/step] Training: 85%|████████▍ | 59363/70000 [21:01:16<3:43:06, 1.26s/step] Training: 85%|████████▍ | 59364/70000 [21:01:17<3:46:27, 1.28s/step] Training: 85%|████████▍ | 59365/70000 [21:01:18<3:44:23, 1.27s/step] Training: 85%|████████▍ | 59366/70000 [21:01:20<3:40:24, 1.24s/step] Training: 85%|████████▍ | 59367/70000 [21:01:21<3:39:48, 1.24s/step] Training: 85%|████████▍ | 59368/70000 [21:01:22<3:44:07, 1.26s/step] Training: 85%|████████▍ | 59369/70000 [21:01:23<3:47:19, 1.28s/step] Training: 85%|████████▍ | 59370/70000 [21:01:25<3:49:32, 1.30s/step] Training: 85%|████████▍ | 59371/70000 [21:01:26<3:44:00, 1.26s/step] Training: 85%|████████▍ | 59372/70000 [21:01:27<3:41:00, 1.25s/step] Training: 85%|████████▍ | 59373/70000 [21:01:29<3:45:12, 1.27s/step] Training: 85%|████████▍ | 59374/70000 [21:01:30<3:41:09, 1.25s/step] Training: 85%|████████▍ | 59375/70000 [21:01:31<3:38:44, 1.24s/step] Training: 85%|████████▍ | 59376/70000 [21:01:32<3:43:57, 1.26s/step] Training: 85%|████████▍ | 59377/70000 [21:01:34<3:47:35, 1.29s/step] Training: 85%|████████▍ | 59378/70000 [21:01:35<3:50:15, 1.30s/step] Training: 85%|████████▍ | 59379/70000 [21:01:36<3:44:43, 1.27s/step] Training: 85%|████████▍ | 59380/70000 [21:01:37<3:47:45, 1.29s/step] Training: 85%|████████▍ | 59381/70000 [21:01:39<3:50:17, 1.30s/step] Training: 85%|████████▍ | 59382/70000 [21:01:40<3:52:34, 1.31s/step] Training: 85%|████████▍ | 59383/70000 [21:01:41<3:52:48, 1.32s/step] Training: 85%|████████▍ | 59384/70000 [21:01:43<3:47:51, 1.29s/step] Training: 85%|████████▍ | 59385/70000 [21:01:44<3:50:00, 1.30s/step] Training: 85%|████████▍ | 59386/70000 [21:01:45<3:51:05, 1.31s/step] Training: 85%|████████▍ | 59387/70000 [21:01:47<3:44:47, 1.27s/step] Training: 85%|████████▍ | 59388/70000 [21:01:48<3:47:46, 1.29s/step] Training: 85%|████████▍ | 59389/70000 [21:01:49<3:45:20, 1.27s/step] Training: 85%|████████▍ | 59390/70000 [21:01:50<3:44:55, 1.27s/step] Training: 85%|████████▍ | 59391/70000 [21:01:52<3:47:36, 1.29s/step] Training: 85%|████████▍ | 59392/70000 [21:01:53<3:43:53, 1.27s/step] Training: 85%|████████▍ | 59393/70000 [21:01:54<3:40:34, 1.25s/step] Training: 85%|████████▍ | 59394/70000 [21:01:55<3:46:31, 1.28s/step] Training: 85%|████████▍ | 59395/70000 [21:01:57<3:41:28, 1.25s/step] Training: 85%|████████▍ | 59396/70000 [21:01:58<3:45:20, 1.28s/step] Training: 85%|████████▍ | 59397/70000 [21:01:59<3:42:09, 1.26s/step] Training: 85%|████████▍ | 59398/70000 [21:02:00<3:38:31, 1.24s/step] Training: 85%|████████▍ | 59399/70000 [21:02:02<3:43:52, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=74980 Training: 85%|████████▍ | 59400/70000 [21:02:03<3:47:05, 1.29s/step]INFO 2026-03-13 17:11:55 ot_train.py:435 step:59K smpl:4M ep:13K epch:50.35 loss:0.007 grdn:0.571 lr:2.3e-06 updt_s:1.254 data_s:0.018 Training: 85%|████████▍ | 59401/70000 [21:02:04<3:48:55, 1.30s/step] Training: 85%|████████▍ | 59402/70000 [21:02:06<3:50:11, 1.30s/step] Training: 85%|████████▍ | 59403/70000 [21:02:07<3:44:05, 1.27s/step] Training: 85%|████████▍ | 59404/70000 [21:02:08<3:41:24, 1.25s/step] Training: 85%|████████▍ | 59405/70000 [21:02:09<3:45:09, 1.28s/step] Training: 85%|████████▍ | 59406/70000 [21:02:11<3:50:17, 1.30s/step] Training: 85%|████████▍ | 59407/70000 [21:02:12<3:44:10, 1.27s/step] Training: 85%|████████▍ | 59408/70000 [21:02:13<3:47:47, 1.29s/step] Training: 85%|████████▍ | 59409/70000 [21:02:15<3:49:55, 1.30s/step] Training: 85%|████████▍ | 59410/70000 [21:02:16<3:51:22, 1.31s/step] Training: 85%|████████▍ | 59411/70000 [21:02:17<3:44:48, 1.27s/step] Training: 85%|████████▍ | 59412/70000 [21:02:18<3:47:03, 1.29s/step] Training: 85%|████████▍ | 59413/70000 [21:02:20<3:49:05, 1.30s/step] Training: 85%|████████▍ | 59414/70000 [21:02:21<3:43:11, 1.26s/step] Training: 85%|████████▍ | 59415/70000 [21:02:22<3:50:39, 1.31s/step] Training: 85%|████████▍ | 59416/70000 [21:02:24<3:45:32, 1.28s/step] Training: 85%|████████▍ | 59417/70000 [21:02:25<3:48:21, 1.29s/step] Training: 85%|████████▍ | 59418/70000 [21:02:26<3:50:28, 1.31s/step] Training: 85%|████████▍ | 59419/70000 [21:02:27<3:44:14, 1.27s/step] Training: 85%|████████▍ | 59420/70000 [21:02:29<3:47:04, 1.29s/step] Training: 85%|████████▍ | 59421/70000 [21:02:30<3:44:22, 1.27s/step] Training: 85%|████████▍ | 59422/70000 [21:02:31<3:39:31, 1.25s/step] Training: 85%|████████▍ | 59423/70000 [21:02:33<3:48:27, 1.30s/step] Training: 85%|████████▍ | 59424/70000 [21:02:34<3:44:47, 1.28s/step] Training: 85%|████████▍ | 59425/70000 [21:02:35<3:41:22, 1.26s/step] Training: 85%|████████▍ | 59426/70000 [21:02:36<3:45:43, 1.28s/step] Training: 85%|████████▍ | 59427/70000 [21:02:38<3:40:45, 1.25s/step] Training: 85%|████████▍ | 59428/70000 [21:02:39<3:44:59, 1.28s/step] Training: 85%|████████▍ | 59429/70000 [21:02:40<3:41:08, 1.26s/step] Training: 85%|████████▍ | 59430/70000 [21:02:41<3:37:34, 1.24s/step] Training: 85%|████████▍ | 59431/70000 [21:02:43<3:37:06, 1.23s/step] Training: 85%|████████▍ | 59432/70000 [21:02:44<3:34:23, 1.22s/step] Training: 85%|████████▍ | 59433/70000 [21:02:45<3:47:15, 1.29s/step] Training: 85%|████████▍ | 59434/70000 [21:02:47<3:49:16, 1.30s/step] Training: 85%|████████▍ | 59435/70000 [21:02:48<3:43:17, 1.27s/step] Training: 85%|████████▍ | 59436/70000 [21:02:49<3:40:23, 1.25s/step] Training: 85%|████████▍ | 59437/70000 [21:02:50<3:45:23, 1.28s/step] Training: 85%|████████▍ | 59438/70000 [21:02:51<3:40:48, 1.25s/step] Training: 85%|████████▍ | 59439/70000 [21:02:53<3:40:49, 1.25s/step] Training: 85%|████████▍ | 59440/70000 [21:02:54<3:37:24, 1.24s/step] Training: 85%|████████▍ | 59441/70000 [21:02:55<3:43:06, 1.27s/step] Training: 85%|████████▍ | 59442/70000 [21:02:57<3:46:22, 1.29s/step] Training: 85%|████████▍ | 59443/70000 [21:02:58<3:41:21, 1.26s/step] Training: 85%|████████▍ | 59444/70000 [21:02:59<3:45:03, 1.28s/step] Training: 85%|████████▍ | 59445/70000 [21:03:00<3:47:36, 1.29s/step] Training: 85%|████████▍ | 59446/70000 [21:03:02<3:42:07, 1.26s/step] Training: 85%|████████▍ | 59447/70000 [21:03:03<3:45:09, 1.28s/step] Training: 85%|████████▍ | 59448/70000 [21:03:04<3:42:15, 1.26s/step] Training: 85%|████████▍ | 59449/70000 [21:03:05<3:45:11, 1.28s/step] Training: 85%|████████▍ | 59450/70000 [21:03:07<3:41:17, 1.26s/step] Training: 85%|████████▍ | 59451/70000 [21:03:08<3:37:42, 1.24s/step] Training: 85%|████████▍ | 59452/70000 [21:03:09<3:42:23, 1.27s/step] Training: 85%|████████▍ | 59453/70000 [21:03:10<3:39:35, 1.25s/step] Training: 85%|████████▍ | 59454/70000 [21:03:12<3:36:21, 1.23s/step] Training: 85%|████████▍ | 59455/70000 [21:03:13<3:41:07, 1.26s/step] Training: 85%|████████▍ | 59456/70000 [21:03:14<3:45:30, 1.28s/step] Training: 85%|████████▍ | 59457/70000 [21:03:15<3:41:00, 1.26s/step] Training: 85%|████████▍ | 59458/70000 [21:03:17<3:46:54, 1.29s/step] Training: 85%|████████▍ | 59459/70000 [21:03:18<3:41:38, 1.26s/step] Training: 85%|████████▍ | 59460/70000 [21:03:19<3:44:44, 1.28s/step] Training: 85%|████████▍ | 59461/70000 [21:03:21<3:41:56, 1.26s/step] Training: 85%|████████▍ | 59462/70000 [21:03:22<3:38:08, 1.24s/step] Training: 85%|████████▍ | 59463/70000 [21:03:23<3:37:12, 1.24s/step] Training: 85%|████████▍ | 59464/70000 [21:03:24<3:46:19, 1.29s/step] Training: 85%|████████▍ | 59465/70000 [21:03:26<3:48:19, 1.30s/step] Training: 85%|████████▍ | 59466/70000 [21:03:27<3:49:52, 1.31s/step] Training: 85%|████████▍ | 59467/70000 [21:03:28<3:43:30, 1.27s/step] Training: 85%|████████▍ | 59468/70000 [21:03:29<3:39:44, 1.25s/step] Training: 85%|████████▍ | 59469/70000 [21:03:31<3:36:23, 1.23s/step] Training: 85%|████████▍ | 59470/70000 [21:03:32<3:41:22, 1.26s/step] Training: 85%|████████▍ | 59471/70000 [21:03:33<3:39:05, 1.25s/step] Training: 85%|████████▍ | 59472/70000 [21:03:35<3:44:41, 1.28s/step] Training: 85%|████████▍ | 59473/70000 [21:03:36<3:46:27, 1.29s/step] Training: 85%|████████▍ | 59474/70000 [21:03:37<3:48:24, 1.30s/step] Training: 85%|████████▍ | 59475/70000 [21:03:38<3:42:17, 1.27s/step] Training: 85%|████████▍ | 59476/70000 [21:03:40<3:45:13, 1.28s/step] Training: 85%|████████▍ | 59477/70000 [21:03:41<3:48:00, 1.30s/step] Training: 85%|████████▍ | 59478/70000 [21:03:42<3:42:10, 1.27s/step] Training: 85%|████████▍ | 59479/70000 [21:03:44<3:45:03, 1.28s/step] Training: 85%|████████▍ | 59480/70000 [21:03:45<3:49:54, 1.31s/step] Training: 85%|████████▍ | 59481/70000 [21:03:46<3:50:13, 1.31s/step] Training: 85%|████████▍ | 59482/70000 [21:03:48<3:51:02, 1.32s/step] Training: 85%|████████▍ | 59483/70000 [21:03:49<3:44:08, 1.28s/step] Training: 85%|████████▍ | 59484/70000 [21:03:50<3:47:18, 1.30s/step] Training: 85%|████████▍ | 59485/70000 [21:03:51<3:42:44, 1.27s/step] Training: 85%|████████▍ | 59486/70000 [21:03:53<3:38:23, 1.25s/step] Training: 85%|████████▍ | 59487/70000 [21:03:54<3:42:10, 1.27s/step] Training: 85%|████████▍ | 59488/70000 [21:03:55<3:38:39, 1.25s/step] Training: 85%|████████▍ | 59489/70000 [21:03:56<3:43:57, 1.28s/step] Training: 85%|████████▍ | 59490/70000 [21:03:58<3:48:15, 1.30s/step] Training: 85%|████████▍ | 59491/70000 [21:03:59<3:42:38, 1.27s/step] Training: 85%|████████▍ | 59492/70000 [21:04:00<3:45:06, 1.29s/step] Training: 85%|████████▍ | 59493/70000 [21:04:01<3:41:59, 1.27s/step] Training: 85%|████████▍ | 59494/70000 [21:04:03<3:37:58, 1.24s/step] Training: 85%|████████▍ | 59495/70000 [21:04:04<3:37:04, 1.24s/step] Training: 85%|████████▍ | 59496/70000 [21:04:05<3:41:39, 1.27s/step] Training: 85%|████████▍ | 59497/70000 [21:04:07<3:51:15, 1.32s/step] Training: 85%|████████▍ | 59498/70000 [21:04:08<3:51:41, 1.32s/step] Training: 85%|████████▍ | 59499/70000 [21:04:09<3:44:40, 1.28s/step] Training: 85%|████████▌ | 59500/70000 [21:04:10<3:40:20, 1.26s/step]INFO 2026-03-13 17:14:03 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.43 loss:0.007 grdn:0.603 lr:2.3e-06 updt_s:1.253 data_s:0.019 Training: 85%|████████▌ | 59501/70000 [21:04:12<3:36:36, 1.24s/step] Training: 85%|████████▌ | 59502/70000 [21:04:13<3:40:58, 1.26s/step] Training: 85%|████████▌ | 59503/70000 [21:04:14<3:38:19, 1.25s/step] Training: 85%|████████▌ | 59504/70000 [21:04:15<3:42:52, 1.27s/step] Training: 85%|████████▌ | 59505/70000 [21:04:17<3:50:32, 1.32s/step] Training: 85%|████████▌ | 59506/70000 [21:04:18<3:52:49, 1.33s/step] Training: 85%|████████▌ | 59507/70000 [21:04:19<3:45:31, 1.29s/step] Training: 85%|████████▌ | 59508/70000 [21:04:21<3:46:55, 1.30s/step] Training: 85%|████████▌ | 59509/70000 [21:04:22<3:48:47, 1.31s/step] Training: 85%|████████▌ | 59510/70000 [21:04:23<3:42:41, 1.27s/step] Training: 85%|████████▌ | 59511/70000 [21:04:25<3:45:54, 1.29s/step] Training: 85%|████████▌ | 59512/70000 [21:04:26<3:42:32, 1.27s/step] Training: 85%|████████▌ | 59513/70000 [21:04:27<3:47:53, 1.30s/step] Training: 85%|████████▌ | 59514/70000 [21:04:28<3:42:00, 1.27s/step] Training: 85%|████████▌ | 59515/70000 [21:04:30<3:49:17, 1.31s/step] Training: 85%|████████▌ | 59516/70000 [21:04:31<3:50:01, 1.32s/step] Training: 85%|████████▌ | 59517/70000 [21:04:32<3:44:48, 1.29s/step] Training: 85%|████████▌ | 59518/70000 [21:04:34<3:39:33, 1.26s/step] Training: 85%|████████▌ | 59519/70000 [21:04:35<3:43:24, 1.28s/step] Training: 85%|████████▌ | 59520/70000 [21:04:36<3:39:18, 1.26s/step] Training: 85%|████████▌ | 59521/70000 [21:04:37<3:38:04, 1.25s/step] Training: 85%|████████▌ | 59522/70000 [21:04:39<3:41:59, 1.27s/step] Training: 85%|████████▌ | 59523/70000 [21:04:40<3:43:46, 1.28s/step] Training: 85%|████████▌ | 59524/70000 [21:04:41<3:45:50, 1.29s/step] Training: 85%|████████▌ | 59525/70000 [21:04:42<3:42:09, 1.27s/step] Training: 85%|████████▌ | 59526/70000 [21:04:44<3:37:41, 1.25s/step] Training: 85%|████████▌ | 59527/70000 [21:04:45<3:36:34, 1.24s/step] Training: 85%|████████▌ | 59528/70000 [21:04:46<3:41:29, 1.27s/step] Training: 85%|████████▌ | 59529/70000 [21:04:48<3:44:30, 1.29s/step] Training: 85%|████████▌ | 59530/70000 [21:04:49<3:51:13, 1.33s/step] Training: 85%|████████▌ | 59531/70000 [21:04:50<3:44:25, 1.29s/step] Training: 85%|████████▌ | 59532/70000 [21:04:51<3:39:58, 1.26s/step] Training: 85%|████████▌ | 59533/70000 [21:04:53<3:36:14, 1.24s/step] Training: 85%|████████▌ | 59534/70000 [21:04:54<3:40:58, 1.27s/step] Training: 85%|████████▌ | 59535/70000 [21:04:55<3:38:21, 1.25s/step] Training: 85%|████████▌ | 59536/70000 [21:04:56<3:42:15, 1.27s/step] Training: 85%|████████▌ | 59537/70000 [21:04:58<3:37:45, 1.25s/step] Training: 85%|████████▌ | 59538/70000 [21:04:59<3:42:17, 1.27s/step] Training: 85%|████████▌ | 59539/70000 [21:05:00<3:43:21, 1.28s/step] Training: 85%|████████▌ | 59540/70000 [21:05:02<3:45:41, 1.29s/step] Training: 85%|████████▌ | 59541/70000 [21:05:03<3:47:59, 1.31s/step] Training: 85%|████████▌ | 59542/70000 [21:05:04<3:41:59, 1.27s/step] Training: 85%|████████▌ | 59543/70000 [21:05:05<3:44:55, 1.29s/step] Training: 85%|████████▌ | 59544/70000 [21:05:07<3:41:26, 1.27s/step] Training: 85%|████████▌ | 59545/70000 [21:05:08<3:37:01, 1.25s/step] Training: 85%|████████▌ | 59546/70000 [21:05:09<3:49:07, 1.32s/step] Training: 85%|████████▌ | 59547/70000 [21:05:11<3:49:26, 1.32s/step] Training: 85%|████████▌ | 59548/70000 [21:05:12<3:50:05, 1.32s/step] Training: 85%|████████▌ | 59549/70000 [21:05:13<3:43:54, 1.29s/step] Training: 85%|████████▌ | 59550/70000 [21:05:14<3:38:50, 1.26s/step] Training: 85%|████████▌ | 59551/70000 [21:05:16<3:42:28, 1.28s/step] Training: 85%|████████▌ | 59552/70000 [21:05:17<3:38:38, 1.26s/step] Training: 85%|████████▌ | 59553/70000 [21:05:18<3:35:07, 1.24s/step] Training: 85%|████████▌ | 59554/70000 [21:05:19<3:41:34, 1.27s/step] Training: 85%|████████▌ | 59555/70000 [21:05:21<3:37:53, 1.25s/step] Training: 85%|████████▌ | 59556/70000 [21:05:22<3:41:35, 1.27s/step] Training: 85%|████████▌ | 59557/70000 [21:05:23<3:39:34, 1.26s/step] Training: 85%|████████▌ | 59558/70000 [21:05:24<3:35:52, 1.24s/step] Training: 85%|████████▌ | 59559/70000 [21:05:26<3:33:57, 1.23s/step] Training: 85%|████████▌ | 59560/70000 [21:05:27<3:38:41, 1.26s/step] Training: 85%|████████▌ | 59561/70000 [21:05:28<3:35:05, 1.24s/step] Training: 85%|████████▌ | 59562/70000 [21:05:29<3:41:57, 1.28s/step] Training: 85%|████████▌ | 59563/70000 [21:05:31<3:44:26, 1.29s/step] Training: 85%|████████▌ | 59564/70000 [21:05:32<3:40:04, 1.27s/step] Training: 85%|████████▌ | 59565/70000 [21:05:33<3:36:13, 1.24s/step] Training: 85%|████████▌ | 59566/70000 [21:05:35<3:39:57, 1.26s/step] Training: 85%|████████▌ | 59567/70000 [21:05:36<3:38:27, 1.26s/step] Training: 85%|████████▌ | 59568/70000 [21:05:37<3:42:01, 1.28s/step] Training: 85%|████████▌ | 59569/70000 [21:05:38<3:37:15, 1.25s/step] Training: 85%|████████▌ | 59570/70000 [21:05:40<3:47:01, 1.31s/step] Training: 85%|████████▌ | 59571/70000 [21:05:41<3:47:40, 1.31s/step] Training: 85%|████████▌ | 59572/70000 [21:05:42<3:48:46, 1.32s/step] Training: 85%|████████▌ | 59573/70000 [21:05:44<3:42:05, 1.28s/step] Training: 85%|████████▌ | 59574/70000 [21:05:45<3:37:23, 1.25s/step] Training: 85%|████████▌ | 59575/70000 [21:05:46<3:33:59, 1.23s/step] Training: 85%|████████▌ | 59576/70000 [21:05:47<3:37:52, 1.25s/step] Training: 85%|████████▌ | 59577/70000 [21:05:48<3:34:52, 1.24s/step] Training: 85%|████████▌ | 59578/70000 [21:05:50<3:39:59, 1.27s/step] Training: 85%|████████▌ | 59579/70000 [21:05:51<3:43:23, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=74980 Training: 85%|████████▌ | 59580/70000 [21:05:52<3:45:42, 1.30s/step] Training: 85%|████████▌ | 59581/70000 [21:05:54<3:42:31, 1.28s/step] Training: 85%|████████▌ | 59582/70000 [21:05:55<3:37:39, 1.25s/step] Training: 85%|████████▌ | 59583/70000 [21:05:56<3:34:29, 1.24s/step] Training: 85%|████████▌ | 59584/70000 [21:05:57<3:33:14, 1.23s/step] Training: 85%|████████▌ | 59585/70000 [21:05:58<3:31:07, 1.22s/step] Training: 85%|████████▌ | 59586/70000 [21:06:00<3:36:36, 1.25s/step] Training: 85%|████████▌ | 59587/70000 [21:06:01<3:41:50, 1.28s/step] Training: 85%|████████▌ | 59588/70000 [21:06:02<3:43:49, 1.29s/step] Training: 85%|████████▌ | 59589/70000 [21:06:04<3:39:55, 1.27s/step] Training: 85%|████████▌ | 59590/70000 [21:06:05<3:36:18, 1.25s/step] Training: 85%|████████▌ | 59591/70000 [21:06:06<3:35:14, 1.24s/step] Training: 85%|████████▌ | 59592/70000 [21:06:07<3:39:39, 1.27s/step] Training: 85%|████████▌ | 59593/70000 [21:06:09<3:35:40, 1.24s/step] Training: 85%|████████▌ | 59594/70000 [21:06:10<3:41:25, 1.28s/step] Training: 85%|████████▌ | 59595/70000 [21:06:11<3:49:45, 1.32s/step] Training: 85%|████████▌ | 59596/70000 [21:06:13<3:43:52, 1.29s/step] Training: 85%|████████▌ | 59597/70000 [21:06:14<3:46:22, 1.31s/step] Training: 85%|████████▌ | 59598/70000 [21:06:15<3:40:19, 1.27s/step] Training: 85%|████████▌ | 59599/70000 [21:06:16<3:36:58, 1.25s/step] Training: 85%|████████▌ | 59600/70000 [21:06:18<3:41:12, 1.28s/step]INFO 2026-03-13 17:16:10 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.52 loss:0.008 grdn:0.778 lr:2.3e-06 updt_s:1.252 data_s:0.019 Training: 85%|████████▌ | 59601/70000 [21:06:19<3:36:52, 1.25s/step] Training: 85%|████████▌ | 59602/70000 [21:06:20<3:40:54, 1.27s/step] Training: 85%|████████▌ | 59603/70000 [21:06:22<3:45:30, 1.30s/step] Training: 85%|████████▌ | 59604/70000 [21:06:23<3:46:34, 1.31s/step] Training: 85%|████████▌ | 59605/70000 [21:06:24<3:48:13, 1.32s/step] Training: 85%|████████▌ | 59606/70000 [21:06:25<3:41:51, 1.28s/step] Training: 85%|████████▌ | 59607/70000 [21:06:27<3:44:24, 1.30s/step] Training: 85%|████████▌ | 59608/70000 [21:06:28<3:40:53, 1.28s/step] Training: 85%|████████▌ | 59609/70000 [21:06:29<3:36:23, 1.25s/step] Training: 85%|████████▌ | 59610/70000 [21:06:30<3:40:31, 1.27s/step] Training: 85%|████████▌ | 59611/70000 [21:06:32<3:43:56, 1.29s/step] Training: 85%|████████▌ | 59612/70000 [21:06:33<3:51:48, 1.34s/step] Training: 85%|████████▌ | 59613/70000 [21:06:35<3:46:32, 1.31s/step] Training: 85%|████████▌ | 59614/70000 [21:06:36<3:40:17, 1.27s/step] Training: 85%|████████▌ | 59615/70000 [21:06:37<3:43:03, 1.29s/step] Training: 85%|████████▌ | 59616/70000 [21:06:38<3:38:24, 1.26s/step] Training: 85%|████████▌ | 59617/70000 [21:06:39<3:34:31, 1.24s/step] Training: 85%|████████▌ | 59618/70000 [21:06:41<3:39:11, 1.27s/step] Training: 85%|████████▌ | 59619/70000 [21:06:42<3:36:35, 1.25s/step] Training: 85%|████████▌ | 59620/70000 [21:06:43<3:46:12, 1.31s/step] Training: 85%|████████▌ | 59621/70000 [21:06:45<3:41:32, 1.28s/step] Training: 85%|████████▌ | 59622/70000 [21:06:46<3:37:00, 1.25s/step] Training: 85%|████████▌ | 59623/70000 [21:06:47<3:36:36, 1.25s/step] Training: 85%|████████▌ | 59624/70000 [21:06:48<3:33:21, 1.23s/step] Training: 85%|████████▌ | 59625/70000 [21:06:50<3:37:31, 1.26s/step] Training: 85%|████████▌ | 59626/70000 [21:06:51<3:42:48, 1.29s/step] Training: 85%|████████▌ | 59627/70000 [21:06:52<3:45:07, 1.30s/step] Training: 85%|████████▌ | 59628/70000 [21:06:53<3:41:07, 1.28s/step] Training: 85%|████████▌ | 59629/70000 [21:06:55<3:43:43, 1.29s/step] Training: 85%|████████▌ | 59630/70000 [21:06:56<3:38:20, 1.26s/step] Training: 85%|████████▌ | 59631/70000 [21:06:57<3:35:57, 1.25s/step] Training: 85%|████████▌ | 59632/70000 [21:06:58<3:32:58, 1.23s/step] Training: 85%|████████▌ | 59633/70000 [21:07:00<3:30:43, 1.22s/step] Training: 85%|████████▌ | 59634/70000 [21:07:01<3:35:50, 1.25s/step] Training: 85%|████████▌ | 59635/70000 [21:07:02<3:40:22, 1.28s/step] Training: 85%|████████▌ | 59636/70000 [21:07:04<3:44:35, 1.30s/step] Training: 85%|████████▌ | 59637/70000 [21:07:05<3:46:13, 1.31s/step] Training: 85%|████████▌ | 59638/70000 [21:07:06<3:40:14, 1.28s/step] Training: 85%|████████▌ | 59639/70000 [21:07:07<3:43:02, 1.29s/step] Training: 85%|████████▌ | 59640/70000 [21:07:09<3:39:52, 1.27s/step] Training: 85%|████████▌ | 59641/70000 [21:07:10<3:35:23, 1.25s/step] Training: 85%|████████▌ | 59642/70000 [21:07:11<3:39:38, 1.27s/step] Training: 85%|████████▌ | 59643/70000 [21:07:13<3:42:09, 1.29s/step] Training: 85%|████████▌ | 59644/70000 [21:07:14<3:44:35, 1.30s/step] Training: 85%|████████▌ | 59645/70000 [21:07:15<3:41:00, 1.28s/step] Training: 85%|████████▌ | 59646/70000 [21:07:16<3:36:01, 1.25s/step] Training: 85%|████████▌ | 59647/70000 [21:07:18<3:39:46, 1.27s/step] Training: 85%|████████▌ | 59648/70000 [21:07:19<3:36:30, 1.25s/step] Training: 85%|████████▌ | 59649/70000 [21:07:20<3:33:02, 1.23s/step] Training: 85%|████████▌ | 59650/70000 [21:07:21<3:37:50, 1.26s/step] Training: 85%|████████▌ | 59651/70000 [21:07:23<3:35:06, 1.25s/step] Training: 85%|████████▌ | 59652/70000 [21:07:24<3:38:57, 1.27s/step] Training: 85%|████████▌ | 59653/70000 [21:07:25<3:42:40, 1.29s/step] Training: 85%|████████▌ | 59654/70000 [21:07:26<3:36:52, 1.26s/step] Training: 85%|████████▌ | 59655/70000 [21:07:28<3:35:46, 1.25s/step] Training: 85%|████████▌ | 59656/70000 [21:07:29<3:39:29, 1.27s/step] Training: 85%|████████▌ | 59657/70000 [21:07:30<3:35:08, 1.25s/step] Training: 85%|████████▌ | 59658/70000 [21:07:32<3:40:32, 1.28s/step] Training: 85%|████████▌ | 59659/70000 [21:07:33<3:43:15, 1.30s/step] Training: 85%|████████▌ | 59660/70000 [21:07:34<3:41:01, 1.28s/step] Training: 85%|████████▌ | 59661/70000 [21:07:35<3:39:58, 1.28s/step] Training: 85%|████████▌ | 59662/70000 [21:07:37<3:41:57, 1.29s/step] Training: 85%|████████▌ | 59663/70000 [21:07:38<3:37:47, 1.26s/step] Training: 85%|████████▌ | 59664/70000 [21:07:39<3:40:33, 1.28s/step] Training: 85%|████████▌ | 59665/70000 [21:07:40<3:35:46, 1.25s/step] Training: 85%|████████▌ | 59666/70000 [21:07:42<3:39:49, 1.28s/step] Training: 85%|████████▌ | 59667/70000 [21:07:43<3:42:45, 1.29s/step] Training: 85%|████████▌ | 59668/70000 [21:07:44<3:44:17, 1.30s/step] Training: 85%|████████▌ | 59669/70000 [21:07:46<3:38:25, 1.27s/step] Training: 85%|████████▌ | 59670/70000 [21:07:47<3:42:08, 1.29s/step] Training: 85%|████████▌ | 59671/70000 [21:07:48<3:43:46, 1.30s/step] Training: 85%|████████▌ | 59672/70000 [21:07:49<3:39:35, 1.28s/step] Training: 85%|████████▌ | 59673/70000 [21:07:51<3:35:11, 1.25s/step] Training: 85%|████████▌ | 59674/70000 [21:07:52<3:38:50, 1.27s/step] Training: 85%|████████▌ | 59675/70000 [21:07:53<3:42:04, 1.29s/step] Training: 85%|████████▌ | 59676/70000 [21:07:55<3:43:58, 1.30s/step] Training: 85%|████████▌ | 59677/70000 [21:07:56<3:48:43, 1.33s/step] Training: 85%|████████▌ | 59678/70000 [21:07:57<3:40:49, 1.28s/step] Training: 85%|████████▌ | 59679/70000 [21:07:59<3:42:44, 1.29s/step] Training: 85%|████████▌ | 59680/70000 [21:08:00<3:38:12, 1.27s/step] Training: 85%|████████▌ | 59681/70000 [21:08:01<3:34:07, 1.25s/step] Training: 85%|████████▌ | 59682/70000 [21:08:02<3:38:22, 1.27s/step] Training: 85%|████████▌ | 59683/70000 [21:08:03<3:35:07, 1.25s/step] Training: 85%|████████▌ | 59684/70000 [21:08:05<3:38:54, 1.27s/step] Training: 85%|████████▌ | 59685/70000 [21:08:06<3:35:54, 1.26s/step] Training: 85%|████████▌ | 59686/70000 [21:08:07<3:40:07, 1.28s/step] Training: 85%|████████▌ | 59687/70000 [21:08:09<3:37:12, 1.26s/step] Training: 85%|████████▌ | 59688/70000 [21:08:10<3:40:14, 1.28s/step] Training: 85%|████████▌ | 59689/70000 [21:08:11<3:35:24, 1.25s/step] Training: 85%|████████▌ | 59690/70000 [21:08:12<3:40:13, 1.28s/step] Training: 85%|████████▌ | 59691/70000 [21:08:14<3:43:13, 1.30s/step] Training: 85%|████████▌ | 59692/70000 [21:08:15<3:38:28, 1.27s/step] Training: 85%|████████▌ | 59693/70000 [21:08:16<3:41:09, 1.29s/step] Training: 85%|████████▌ | 59694/70000 [21:08:18<3:44:04, 1.30s/step] Training: 85%|████████▌ | 59695/70000 [21:08:19<3:38:56, 1.27s/step] Training: 85%|████████▌ | 59696/70000 [21:08:20<3:41:33, 1.29s/step] Training: 85%|████████▌ | 59697/70000 [21:08:21<3:36:14, 1.26s/step] Training: 85%|████████▌ | 59698/70000 [21:08:23<3:40:20, 1.28s/step] Training: 85%|████████▌ | 59699/70000 [21:08:24<3:42:31, 1.30s/step] Training: 85%|████████▌ | 59700/70000 [21:08:25<3:44:13, 1.31s/step]INFO 2026-03-13 17:18:17 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.60 loss:0.007 grdn:0.620 lr:2.3e-06 updt_s:1.256 data_s:0.019 Training: 85%|████████▌ | 59701/70000 [21:08:27<3:45:41, 1.31s/step] Training: 85%|████████▌ | 59702/70000 [21:08:28<3:39:26, 1.28s/step] Training: 85%|████████▌ | 59703/70000 [21:08:29<3:42:01, 1.29s/step] Training: 85%|████████▌ | 59704/70000 [21:08:30<3:38:08, 1.27s/step] Training: 85%|████████▌ | 59705/70000 [21:08:32<3:33:46, 1.25s/step] Training: 85%|████████▌ | 59706/70000 [21:08:33<3:33:19, 1.24s/step] Training: 85%|████████▌ | 59707/70000 [21:08:34<3:36:23, 1.26s/step] Training: 85%|████████▌ | 59708/70000 [21:08:35<3:40:26, 1.29s/step] Training: 85%|████████▌ | 59709/70000 [21:08:37<3:38:32, 1.27s/step] Training: 85%|████████▌ | 59710/70000 [21:08:38<3:36:56, 1.26s/step] Training: 85%|████████▌ | 59711/70000 [21:08:39<3:40:07, 1.28s/step] Training: 85%|████████▌ | 59712/70000 [21:08:41<3:36:47, 1.26s/step] Training: 85%|████████▌ | 59713/70000 [21:08:42<3:33:10, 1.24s/step] Training: 85%|████████▌ | 59714/70000 [21:08:43<3:37:50, 1.27s/step] Training: 85%|████████▌ | 59715/70000 [21:08:44<3:35:20, 1.26s/step] Training: 85%|████████▌ | 59716/70000 [21:08:46<3:39:03, 1.28s/step] Training: 85%|████████▌ | 59717/70000 [21:08:47<3:35:11, 1.26s/step] Training: 85%|████████▌ | 59718/70000 [21:08:48<3:34:43, 1.25s/step] Training: 85%|████████▌ | 59719/70000 [21:08:49<3:33:01, 1.24s/step] Training: 85%|████████▌ | 59720/70000 [21:08:51<3:37:11, 1.27s/step] Training: 85%|████████▌ | 59721/70000 [21:08:52<3:33:18, 1.25s/step] Training: 85%|████████▌ | 59722/70000 [21:08:53<3:39:01, 1.28s/step] Training: 85%|████████▌ | 59723/70000 [21:08:54<3:42:20, 1.30s/step] Training: 85%|████████▌ | 59724/70000 [21:08:56<3:38:22, 1.28s/step] Training: 85%|████████▌ | 59725/70000 [21:08:57<3:41:03, 1.29s/step] Training: 85%|████████▌ | 59726/70000 [21:08:58<3:35:59, 1.26s/step] Training: 85%|████████▌ | 59727/70000 [21:09:00<3:40:17, 1.29s/step] Training: 85%|████████▌ | 59728/70000 [21:09:01<3:42:12, 1.30s/step] Training: 85%|████████▌ | 59729/70000 [21:09:02<3:36:28, 1.26s/step] Training: 85%|████████▌ | 59730/70000 [21:09:03<3:39:28, 1.28s/step] Training: 85%|████████▌ | 59731/70000 [21:09:05<3:42:26, 1.30s/step] Training: 85%|████████▌ | 59732/70000 [21:09:06<3:43:28, 1.31s/step] Training: 85%|████████▌ | 59733/70000 [21:09:07<3:44:50, 1.31s/step] Training: 85%|████████▌ | 59734/70000 [21:09:09<3:38:35, 1.28s/step] Training: 85%|████████▌ | 59735/70000 [21:09:10<3:44:59, 1.32s/step] Training: 85%|████████▌ | 59736/70000 [21:09:11<3:40:25, 1.29s/step] Training: 85%|████████▌ | 59737/70000 [21:09:12<3:35:24, 1.26s/step] Training: 85%|████████▌ | 59738/70000 [21:09:14<3:38:53, 1.28s/step] Training: 85%|████████▌ | 59739/70000 [21:09:15<3:36:09, 1.26s/step] Training: 85%|████████▌ | 59740/70000 [21:09:16<3:40:07, 1.29s/step] Training: 85%|████████▌ | 59741/70000 [21:09:18<3:38:14, 1.28s/step] Training: 85%|████████▌ | 59742/70000 [21:09:19<3:33:39, 1.25s/step] Training: 85%|████████▌ | 59743/70000 [21:09:20<3:37:37, 1.27s/step] Training: 85%|████████▌ | 59744/70000 [21:09:21<3:41:06, 1.29s/step] Training: 85%|████████▌ | 59745/70000 [21:09:23<3:35:22, 1.26s/step] Training: 85%|████████▌ | 59746/70000 [21:09:24<3:39:04, 1.28s/step] Training: 85%|████████▌ | 59747/70000 [21:09:25<3:35:04, 1.26s/step] Training: 85%|████████▌ | 59748/70000 [21:09:26<3:38:42, 1.28s/step] Training: 85%|████████▌ | 59749/70000 [21:09:28<3:34:41, 1.26s/step] Training: 85%|████████▌ | 59750/70000 [21:09:29<3:31:26, 1.24s/step] Training: 85%|████████▌ | 59751/70000 [21:09:30<3:39:24, 1.28s/step] Training: 85%|████████▌ | 59752/70000 [21:09:32<3:41:11, 1.30s/step] Training: 85%|████████▌ | 59753/70000 [21:09:33<3:35:35, 1.26s/step] Training: 85%|████████▌ | 59754/70000 [21:09:34<3:40:12, 1.29s/step] Training: 85%|████████▌ | 59755/70000 [21:09:35<3:41:52, 1.30s/step] Training: 85%|████████▌ | 59756/70000 [21:09:37<3:37:22, 1.27s/step] Training: 85%|████████▌ | 59757/70000 [21:09:38<3:40:21, 1.29s/step] Training: 85%|████████▌ | 59758/70000 [21:09:39<3:35:14, 1.26s/step] Training: 85%|████████▌ | 59759/70000 [21:09:40<3:32:14, 1.24s/step] Training: 85%|████████▌ | 59760/70000 [21:09:42<3:42:10, 1.30s/step] Training: 85%|████████▌ | 59761/70000 [21:09:43<3:36:31, 1.27s/step] Training: 85%|████████▌ | 59762/70000 [21:09:44<3:38:55, 1.28s/step] Training: 85%|████████▌ | 59763/70000 [21:09:46<3:41:42, 1.30s/step] Training: 85%|████████▌ | 59764/70000 [21:09:47<3:43:17, 1.31s/step] Training: 85%|████████▌ | 59765/70000 [21:09:48<3:43:52, 1.31s/step] Training: 85%|████████▌ | 59766/70000 [21:09:50<3:37:51, 1.28s/step] Training: 85%|████████▌ | 59767/70000 [21:09:51<3:39:46, 1.29s/step] Training: 85%|████████▌ | 59768/70000 [21:09:52<3:42:45, 1.31s/step] Training: 85%|████████▌ | 59769/70000 [21:09:53<3:36:28, 1.27s/step] Training: 85%|████████▌ | 59770/70000 [21:09:55<3:39:09, 1.29s/step] Training: 85%|████████▌ | 59771/70000 [21:09:56<3:36:08, 1.27s/step] Training: 85%|████████▌ | 59772/70000 [21:09:57<3:38:48, 1.28s/step] Training: 85%|████████▌ | 59773/70000 [21:09:58<3:36:37, 1.27s/step] Training: 85%|████████▌ | 59774/70000 [21:10:00<3:32:18, 1.25s/step] Training: 85%|████████▌ | 59775/70000 [21:10:01<3:35:56, 1.27s/step] Training: 85%|████████▌ | 59776/70000 [21:10:02<3:33:57, 1.26s/step] Training: 85%|████████▌ | 59777/70000 [21:10:03<3:30:45, 1.24s/step] Training: 85%|████████▌ | 59778/70000 [21:10:05<3:35:12, 1.26s/step] Training: 85%|████████▌ | 59779/70000 [21:10:06<3:33:24, 1.25s/step] Training: 85%|████████▌ | 59780/70000 [21:10:07<3:37:10, 1.28s/step] Training: 85%|████████▌ | 59781/70000 [21:10:08<3:33:46, 1.26s/step] Training: 85%|████████▌ | 59782/70000 [21:10:10<3:30:25, 1.24s/step] Training: 85%|████████▌ | 59783/70000 [21:10:11<3:30:08, 1.23s/step] Training: 85%|████████▌ | 59784/70000 [21:10:12<3:31:29, 1.24s/step] Training: 85%|████████▌ | 59785/70000 [21:10:13<3:34:39, 1.26s/step] Training: 85%|████████▌ | 59786/70000 [21:10:15<3:39:15, 1.29s/step] Training: 85%|████████▌ | 59787/70000 [21:10:16<3:34:26, 1.26s/step] Training: 85%|████████▌ | 59788/70000 [21:10:17<3:37:12, 1.28s/step] Training: 85%|████████▌ | 59789/70000 [21:10:19<3:33:00, 1.25s/step] Training: 85%|████████▌ | 59790/70000 [21:10:20<3:36:50, 1.27s/step] Training: 85%|████████▌ | 59791/70000 [21:10:21<3:34:25, 1.26s/step] Training: 85%|████████▌ | 59792/70000 [21:10:22<3:37:39, 1.28s/step] Training: 85%|████████▌ | 59793/70000 [21:10:24<3:33:07, 1.25s/step] Training: 85%|████████▌ | 59794/70000 [21:10:25<3:36:54, 1.28s/step] Training: 85%|████████▌ | 59795/70000 [21:10:26<3:46:06, 1.33s/step] Training: 85%|████████▌ | 59796/70000 [21:10:28<3:45:43, 1.33s/step] Training: 85%|████████▌ | 59797/70000 [21:10:29<3:38:37, 1.29s/step] Training: 85%|████████▌ | 59798/70000 [21:10:30<3:33:37, 1.26s/step] Training: 85%|████████▌ | 59799/70000 [21:10:31<3:37:05, 1.28s/step] Training: 85%|████████▌ | 59800/70000 [21:10:33<3:33:07, 1.25s/step]INFO 2026-03-13 17:20:25 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.69 loss:0.007 grdn:0.572 lr:2.2e-06 updt_s:1.252 data_s:0.019 Training: 85%|████████▌ | 59801/70000 [21:10:34<3:37:52, 1.28s/step] Training: 85%|████████▌ | 59802/70000 [21:10:35<3:39:49, 1.29s/step] Training: 85%|████████▌ | 59803/70000 [21:10:36<3:35:23, 1.27s/step] Training: 85%|████████▌ | 59804/70000 [21:10:38<3:38:35, 1.29s/step] Training: 85%|████████▌ | 59805/70000 [21:10:39<3:36:49, 1.28s/step] Training: 85%|████████▌ | 59806/70000 [21:10:40<3:32:14, 1.25s/step] Training: 85%|████████▌ | 59807/70000 [21:10:42<3:35:45, 1.27s/step] Training: 85%|████████▌ | 59808/70000 [21:10:43<3:33:48, 1.26s/step] Training: 85%|████████▌ | 59809/70000 [21:10:44<3:35:41, 1.27s/step] Training: 85%|████████▌ | 59810/70000 [21:10:45<3:38:29, 1.29s/step] Training: 85%|████████▌ | 59811/70000 [21:10:47<3:35:37, 1.27s/step] Training: 85%|████████▌ | 59812/70000 [21:10:48<3:38:14, 1.29s/step] Training: 85%|████████▌ | 59813/70000 [21:10:49<3:34:29, 1.26s/step] Training: 85%|████████▌ | 59814/70000 [21:10:50<3:31:01, 1.24s/step] Training: 85%|████████▌ | 59815/70000 [21:10:52<3:30:00, 1.24s/step] Training: 85%|████████▌ | 59816/70000 [21:10:53<3:27:38, 1.22s/step] Training: 85%|████████▌ | 59817/70000 [21:10:54<3:38:53, 1.29s/step] Training: 85%|████████▌ | 59818/70000 [21:10:56<3:40:38, 1.30s/step] Training: 85%|████████▌ | 59819/70000 [21:10:57<3:35:09, 1.27s/step] Training: 85%|████████▌ | 59820/70000 [21:10:58<3:37:18, 1.28s/step] Training: 85%|████████▌ | 59821/70000 [21:10:59<3:39:57, 1.30s/step] Training: 85%|████████▌ | 59822/70000 [21:11:01<3:34:40, 1.27s/step] Training: 85%|████████▌ | 59823/70000 [21:11:02<3:31:39, 1.25s/step] Training: 85%|████████▌ | 59824/70000 [21:11:03<3:36:27, 1.28s/step] Training: 85%|████████▌ | 59825/70000 [21:11:04<3:40:51, 1.30s/step] Training: 85%|████████▌ | 59826/70000 [21:11:06<3:41:35, 1.31s/step] Training: 85%|████████▌ | 59827/70000 [21:11:07<3:35:39, 1.27s/step] Training: 85%|████████▌ | 59828/70000 [21:11:08<3:38:16, 1.29s/step] Training: 85%|████████▌ | 59829/70000 [21:11:10<3:40:25, 1.30s/step] Training: 85%|████████▌ | 59830/70000 [21:11:11<3:34:52, 1.27s/step] Training: 85%|████████▌ | 59831/70000 [21:11:12<3:37:54, 1.29s/step] Training: 85%|████████▌ | 59832/70000 [21:11:13<3:33:46, 1.26s/step] Training: 85%|████████▌ | 59833/70000 [21:11:15<3:29:58, 1.24s/step] Training: 85%|████████▌ | 59834/70000 [21:11:16<3:40:57, 1.30s/step] Training: 85%|████████▌ | 59835/70000 [21:11:17<3:36:48, 1.28s/step] Training: 85%|████████▌ | 59836/70000 [21:11:19<3:39:13, 1.29s/step] Training: 85%|████████▌ | 59837/70000 [21:11:20<3:35:55, 1.27s/step] Training: 85%|████████▌ | 59838/70000 [21:11:21<3:31:34, 1.25s/step] Training: 85%|████████▌ | 59839/70000 [21:11:22<3:35:35, 1.27s/step] Training: 85%|████████▌ | 59840/70000 [21:11:24<3:33:48, 1.26s/step] Training: 85%|████████▌ | 59841/70000 [21:11:25<3:30:15, 1.24s/step] Training: 85%|████████▌ | 59842/70000 [21:11:26<3:39:05, 1.29s/step] Training: 85%|████████▌ | 59843/70000 [21:11:27<3:34:34, 1.27s/step] Training: 85%|████████▌ | 59844/70000 [21:11:29<3:37:57, 1.29s/step] Training: 85%|████████▌ | 59845/70000 [21:11:30<3:33:40, 1.26s/step] Training: 85%|████████▌ | 59846/70000 [21:11:31<3:30:03, 1.24s/step] Training: 85%|████████▌ | 59847/70000 [21:11:32<3:30:10, 1.24s/step] Training: 85%|████████▌ | 59848/70000 [21:11:34<3:27:35, 1.23s/step] Training: 85%|████████▌ | 59849/70000 [21:11:35<3:31:37, 1.25s/step] Training: 86%|████████▌ | 59850/70000 [21:11:36<3:41:45, 1.31s/step] Training: 86%|████████▌ | 59851/70000 [21:11:38<3:42:57, 1.32s/step] Training: 86%|████████▌ | 59852/70000 [21:11:39<3:37:47, 1.29s/step] Training: 86%|████████▌ | 59853/70000 [21:11:40<3:40:17, 1.30s/step] Training: 86%|████████▌ | 59854/70000 [21:11:41<3:34:53, 1.27s/step] Training: 86%|████████▌ | 59855/70000 [21:11:43<3:31:33, 1.25s/step] Training: 86%|████████▌ | 59856/70000 [21:11:44<3:28:27, 1.23s/step] Training: 86%|████████▌ | 59857/70000 [21:11:45<3:26:16, 1.22s/step] Training: 86%|████████▌ | 59858/70000 [21:11:46<3:35:16, 1.27s/step] Training: 86%|████████▌ | 59859/70000 [21:11:48<3:37:43, 1.29s/step] Training: 86%|████████▌ | 59860/70000 [21:11:49<3:39:30, 1.30s/step] Training: 86%|████████▌ | 59861/70000 [21:11:50<3:40:51, 1.31s/step] Training: 86%|████████▌ | 59862/70000 [21:11:52<3:34:50, 1.27s/step] Training: 86%|████████▌ | 59863/70000 [21:11:53<3:37:44, 1.29s/step] Training: 86%|████████▌ | 59864/70000 [21:11:54<3:34:09, 1.27s/step] Training: 86%|████████▌ | 59865/70000 [21:11:55<3:30:07, 1.24s/step] Training: 86%|████████▌ | 59866/70000 [21:11:57<3:34:16, 1.27s/step] Training: 86%|████████▌ | 59867/70000 [21:11:58<3:32:19, 1.26s/step] Training: 86%|████████▌ | 59868/70000 [21:11:59<3:35:57, 1.28s/step] Training: 86%|████████▌ | 59869/70000 [21:12:00<3:34:06, 1.27s/step] Training: 86%|████████▌ | 59870/70000 [21:12:02<3:30:09, 1.24s/step] Training: 86%|████████▌ | 59871/70000 [21:12:03<3:34:23, 1.27s/step] Training: 86%|████████▌ | 59872/70000 [21:12:04<3:31:48, 1.25s/step] Training: 86%|████████▌ | 59873/70000 [21:12:05<3:28:39, 1.24s/step] Training: 86%|████████▌ | 59874/70000 [21:12:07<3:27:32, 1.23s/step] Training: 86%|████████▌ | 59875/70000 [21:12:08<3:33:09, 1.26s/step] Training: 86%|████████▌ | 59876/70000 [21:12:09<3:35:54, 1.28s/step] Training: 86%|████████▌ | 59877/70000 [21:12:10<3:32:39, 1.26s/step] Training: 86%|████████▌ | 59878/70000 [21:12:12<3:29:08, 1.24s/step] Training: 86%|████████▌ | 59879/70000 [21:12:13<3:28:28, 1.24s/step] Training: 86%|████████▌ | 59880/70000 [21:12:14<3:32:50, 1.26s/step] Training: 86%|████████▌ | 59881/70000 [21:12:15<3:29:33, 1.24s/step] Training: 86%|████████▌ | 59882/70000 [21:12:17<3:33:44, 1.27s/step] Training: 86%|████████▌ | 59883/70000 [21:12:18<3:41:43, 1.31s/step] Training: 86%|████████▌ | 59884/70000 [21:12:19<3:36:12, 1.28s/step] Training: 86%|████████▌ | 59885/70000 [21:12:21<3:38:26, 1.30s/step] Training: 86%|████████▌ | 59886/70000 [21:12:22<3:33:10, 1.26s/step] Training: 86%|████████▌ | 59887/70000 [21:12:23<3:30:06, 1.25s/step] Training: 86%|████████▌ | 59888/70000 [21:12:24<3:33:53, 1.27s/step] Training: 86%|████████▌ | 59889/70000 [21:12:26<3:29:48, 1.25s/step] Training: 86%|████████▌ | 59890/70000 [21:12:27<3:35:59, 1.28s/step] Training: 86%|████████▌ | 59891/70000 [21:12:28<3:39:35, 1.30s/step] Training: 86%|████████▌ | 59892/70000 [21:12:30<3:40:01, 1.31s/step] Training: 86%|████████▌ | 59893/70000 [21:12:31<3:41:08, 1.31s/step] Training: 86%|████████▌ | 59894/70000 [21:12:32<3:34:53, 1.28s/step] Training: 86%|████████▌ | 59895/70000 [21:12:33<3:37:53, 1.29s/step] Training: 86%|████████▌ | 59896/70000 [21:12:35<3:34:28, 1.27s/step] Training: 86%|████████▌ | 59897/70000 [21:12:36<3:30:07, 1.25s/step] Training: 86%|████████▌ | 59898/70000 [21:12:37<3:34:08, 1.27s/step] Training: 86%|████████▌ | 59899/70000 [21:12:38<3:32:10, 1.26s/step] Training: 86%|████████▌ | 59900/70000 [21:12:40<3:40:07, 1.31s/step]INFO 2026-03-13 17:22:32 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.77 loss:0.008 grdn:0.633 lr:2.2e-06 updt_s:1.252 data_s:0.019 Training: 86%|████████▌ | 59901/70000 [21:12:41<3:35:55, 1.28s/step] Training: 86%|████████▌ | 59902/70000 [21:12:42<3:31:12, 1.25s/step] Training: 86%|████████▌ | 59903/70000 [21:12:44<3:34:48, 1.28s/step] Training: 86%|████████▌ | 59904/70000 [21:12:45<3:31:07, 1.25s/step] Training: 86%|████████▌ | 59905/70000 [21:12:46<3:27:51, 1.24s/step] Training: 86%|████████▌ | 59906/70000 [21:12:47<3:32:33, 1.26s/step] Training: 86%|████████▌ | 59907/70000 [21:12:48<3:30:00, 1.25s/step] Training: 86%|████████▌ | 59908/70000 [21:12:50<3:35:06, 1.28s/step] Training: 86%|████████▌ | 59909/70000 [21:12:51<3:31:23, 1.26s/step] Training: 86%|████████▌ | 59910/70000 [21:12:52<3:28:27, 1.24s/step] Training: 86%|████████▌ | 59911/70000 [21:12:53<3:27:47, 1.24s/step] Training: 86%|████████▌ | 59912/70000 [21:12:55<3:32:38, 1.26s/step] Training: 86%|████████▌ | 59913/70000 [21:12:56<3:28:48, 1.24s/step] Training: 86%|████████▌ | 59914/70000 [21:12:57<3:33:17, 1.27s/step] Training: 86%|████████▌ | 59915/70000 [21:12:59<3:36:18, 1.29s/step] Training: 86%|████████▌ | 59916/70000 [21:13:00<3:32:59, 1.27s/step] Training: 86%|████████▌ | 59917/70000 [21:13:01<3:36:17, 1.29s/step] Training: 86%|████████▌ | 59918/70000 [21:13:02<3:31:25, 1.26s/step] Training: 86%|████████▌ | 59919/70000 [21:13:04<3:29:17, 1.25s/step] Training: 86%|████████▌ | 59920/70000 [21:13:05<3:33:33, 1.27s/step] Training: 86%|████████▌ | 59921/70000 [21:13:06<3:29:41, 1.25s/step] Training: 86%|████████▌ | 59922/70000 [21:13:08<3:36:24, 1.29s/step] Training: 86%|████████▌ | 59923/70000 [21:13:09<3:38:09, 1.30s/step] Training: 86%|████████▌ | 59924/70000 [21:13:10<3:41:03, 1.32s/step] Training: 86%|████████▌ | 59925/70000 [21:13:12<3:41:53, 1.32s/step] Training: 86%|████████▌ | 59926/70000 [21:13:13<3:35:18, 1.28s/step] Training: 86%|████████▌ | 59927/70000 [21:13:14<3:37:55, 1.30s/step] Training: 86%|████████▌ | 59928/70000 [21:13:15<3:34:07, 1.28s/step] Training: 86%|████████▌ | 59929/70000 [21:13:16<3:29:48, 1.25s/step] Training: 86%|████████▌ | 59930/70000 [21:13:18<3:34:09, 1.28s/step] Training: 86%|████████▌ | 59931/70000 [21:13:19<3:31:51, 1.26s/step] Training: 86%|████████▌ | 59932/70000 [21:13:20<3:35:06, 1.28s/step] Training: 86%|████████▌ | 59933/70000 [21:13:22<3:32:36, 1.27s/step] Training: 86%|████████▌ | 59934/70000 [21:13:23<3:28:47, 1.24s/step] Training: 86%|████████▌ | 59935/70000 [21:13:24<3:32:41, 1.27s/step] Training: 86%|████████▌ | 59936/70000 [21:13:25<3:29:47, 1.25s/step] Training: 86%|████████▌ | 59937/70000 [21:13:27<3:26:40, 1.23s/step] Training: 86%|████████▌ | 59938/70000 [21:13:28<3:31:15, 1.26s/step] Training: 86%|████████▌ | 59939/70000 [21:13:29<3:28:39, 1.24s/step] Training: 86%|████████▌ | 59940/70000 [21:13:30<3:28:14, 1.24s/step] Training: 86%|████████▌ | 59941/70000 [21:13:32<3:33:05, 1.27s/step] Training: 86%|████████▌ | 59942/70000 [21:13:33<3:28:48, 1.25s/step] Training: 86%|████████▌ | 59943/70000 [21:13:34<3:27:42, 1.24s/step] Training: 86%|████████▌ | 59944/70000 [21:13:35<3:32:15, 1.27s/step] Training: 86%|████████▌ | 59945/70000 [21:13:37<3:28:24, 1.24s/step] Training: 86%|████████▌ | 59946/70000 [21:13:38<3:33:08, 1.27s/step] Training: 86%|████████▌ | 59947/70000 [21:13:39<3:35:42, 1.29s/step] Training: 86%|████████▌ | 59948/70000 [21:13:40<3:32:07, 1.27s/step] Training: 86%|████████▌ | 59949/70000 [21:13:42<3:39:19, 1.31s/step] Training: 86%|████████▌ | 59950/70000 [21:13:43<3:33:40, 1.28s/step] Training: 86%|████████▌ | 59951/70000 [21:13:44<3:30:08, 1.25s/step] Training: 86%|████████▌ | 59952/70000 [21:13:46<3:34:22, 1.28s/step] Training: 86%|████████▌ | 59953/70000 [21:13:47<3:29:52, 1.25s/step] Training: 86%|████████▌ | 59954/70000 [21:13:48<3:36:05, 1.29s/step] Training: 86%|████████▌ | 59955/70000 [21:13:49<3:37:43, 1.30s/step] Training: 86%|████████▌ | 59956/70000 [21:13:51<3:39:31, 1.31s/step] Training: 86%|████████▌ | 59957/70000 [21:13:52<3:40:54, 1.32s/step] Training: 86%|████████▌ | 59958/70000 [21:13:53<3:41:35, 1.32s/step] Training: 86%|████████▌ | 59959/70000 [21:13:55<3:41:54, 1.33s/step] Training: 86%|████████▌ | 59960/70000 [21:13:56<3:37:03, 1.30s/step] Training: 86%|████████▌ | 59961/70000 [21:13:57<3:31:41, 1.27s/step] Training: 86%|████████▌ | 59962/70000 [21:13:59<3:35:15, 1.29s/step] Training: 86%|████████▌ | 59963/70000 [21:14:00<3:32:23, 1.27s/step] Training: 86%|████████▌ | 59964/70000 [21:14:01<3:35:45, 1.29s/step] Training: 86%|████████▌ | 59965/70000 [21:14:03<3:41:13, 1.32s/step] Training: 86%|████████▌ | 59966/70000 [21:14:04<3:34:05, 1.28s/step] Training: 86%|████████▌ | 59967/70000 [21:14:05<3:36:31, 1.29s/step] Training: 86%|████████▌ | 59968/70000 [21:14:06<3:32:13, 1.27s/step] Training: 86%|████████▌ | 59969/70000 [21:14:07<3:28:20, 1.25s/step] Training: 86%|████████▌ | 59970/70000 [21:14:09<3:32:18, 1.27s/step] Training: 86%|████████▌ | 59971/70000 [21:14:10<3:29:37, 1.25s/step] Training: 86%|████████▌ | 59972/70000 [21:14:11<3:28:34, 1.25s/step] Training: 86%|████████▌ | 59973/70000 [21:14:12<3:27:09, 1.24s/step] Training: 86%|████████▌ | 59974/70000 [21:14:14<3:32:54, 1.27s/step] Training: 86%|████████▌ | 59975/70000 [21:14:15<3:30:01, 1.26s/step] Training: 86%|████████▌ | 59976/70000 [21:14:16<3:33:46, 1.28s/step] Training: 86%|████████▌ | 59977/70000 [21:14:18<3:29:12, 1.25s/step] Training: 86%|████████▌ | 59978/70000 [21:14:19<3:33:28, 1.28s/step] Training: 86%|████████▌ | 59979/70000 [21:14:20<3:36:04, 1.29s/step] Training: 86%|████████▌ | 59980/70000 [21:14:21<3:31:56, 1.27s/step] Training: 86%|████████▌ | 59981/70000 [21:14:23<3:34:43, 1.29s/step] Training: 86%|████████▌ | 59982/70000 [21:14:24<3:37:52, 1.30s/step] Training: 86%|████████▌ | 59983/70000 [21:14:25<3:32:31, 1.27s/step] Training: 86%|████████▌ | 59984/70000 [21:14:27<3:35:29, 1.29s/step] Training: 86%|████████▌ | 59985/70000 [21:14:28<3:30:24, 1.26s/step] Training: 86%|████████▌ | 59986/70000 [21:14:29<3:35:18, 1.29s/step] Training: 86%|████████▌ | 59987/70000 [21:14:31<3:36:57, 1.30s/step] Training: 86%|████████▌ | 59988/70000 [21:14:32<3:39:08, 1.31s/step] Training: 86%|████████▌ | 59989/70000 [21:14:33<3:39:44, 1.32s/step] Training: 86%|████████▌ | 59990/70000 [21:14:34<3:33:13, 1.28s/step] Training: 86%|████████▌ | 59991/70000 [21:14:36<3:35:42, 1.29s/step] Training: 86%|████████▌ | 59992/70000 [21:14:37<3:32:01, 1.27s/step] Training: 86%|████████▌ | 59993/70000 [21:14:38<3:27:50, 1.25s/step] Training: 86%|████████▌ | 59994/70000 [21:14:39<3:32:29, 1.27s/step] Training: 86%|████████▌ | 59995/70000 [21:14:41<3:30:23, 1.26s/step] Training: 86%|████████▌ | 59996/70000 [21:14:42<3:33:37, 1.28s/step] Training: 86%|████████▌ | 59997/70000 [21:14:43<3:31:11, 1.27s/step] Training: 86%|████████▌ | 59998/70000 [21:14:44<3:30:41, 1.26s/step] Training: 86%|████████▌ | 59999/70000 [21:14:46<3:33:44, 1.28s/step] Training: 86%|████████▌ | 60000/70000 [21:14:47<3:30:54, 1.27s/step]INFO 2026-03-13 17:24:39 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.86 loss:0.007 grdn:0.566 lr:2.2e-06 updt_s:1.251 data_s:0.019 INFO 2026-03-13 17:24:39 ot_train.py:455 Checkpoint policy after step 60000 [Avatar] Pushing checkpoint (step 60000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008... Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...12-2008/model.safetensors: 0%| | 9.42MB / 5.85GB  ...12-2008/model.safetensors: 0%| | 9.42MB / 5.85GB  Processing Files (0 / 1) : 0%| | 9.42MB / 5.85GB, ???B/s ...12-2008/model.safetensors: 0%| | 9.42MB / 5.85GB  ...12-2008/model.safetensors: 1%|▏ | 81.3MB / 5.85GB  Processing Files (0 / 1) : 1%|▏ | 81.3MB / 5.85GB, 180MB/s New Data Upload : 99%|█████████▉| 66.6MB / 67.1MB, 167MB/s  ...12-2008/model.safetensors: 1%|▏ | 81.6MB / 5.85GB  Processing Files (0 / 1) : 1%|▏ | 81.6MB / 5.85GB, 120MB/s ...12-2008/model.safetensors: 1%|▏ | 81.6MB / 5.85GB  ...12-2008/model.safetensors: 1%|▏ | 81.6MB / 5.85GB  ...12-2008/model.safetensors: 1%|▏ | 81.6MB / 5.85GB  ...12-2008/model.safetensors: 2%|▏ | 96.4MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 96.4MB / 5.85GB, 62.2MB/s New Data Upload : 56%|█████▌ | 75.2MB / 134MB, 53.7MB/s  ...12-2008/model.safetensors: 3%|▎ | 159MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 159MB / 5.85GB, 93.4MB/s New Data Upload : 66%|██████▋ | 134MB / 201MB, 83.6MB/s  ...12-2008/model.safetensors: 3%|▎ | 162MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 162MB / 5.85GB, 84.6MB/s New Data Upload : 67%|██████▋ | 134MB / 201MB, 74.7MB/s  ...12-2008/model.safetensors: 4%|▍ | 233MB / 5.85GB  Processing Files (0 / 1) : 4%|▍ | 233MB / 5.85GB, 112MB/s New Data Upload : 75%|███████▍ | 201MB / 268MB, 100MB/s  ...12-2008/model.safetensors: 4%|▍ | 233MB / 5.85GB  ...12-2008/model.safetensors: 5%|▌ | 305MB / 5.85GB  Processing Files (0 / 1) : 5%|▌ | 305MB / 5.85GB, 123MB/s New Data Upload : 100%|█████████▉| 268MB / 268MB, 112MB/s  ...12-2008/model.safetensors: 5%|▌ | 305MB / 5.85GB  ...12-2008/model.safetensors: 6%|▋ | 376MB / 5.85GB  Processing Files (0 / 1) : 6%|▋ | 376MB / 5.85GB, 131MB/s New Data Upload : 83%|████████▎ | 335MB / 403MB, 120MB/s  ...12-2008/model.safetensors: 6%|▋ | 376MB / 5.85GB  ...12-2008/model.safetensors: 8%|▊ | 447MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 447MB / 5.85GB, 137MB/s New Data Upload : 86%|████████▌ | 402MB / 470MB, 126MB/s  ...12-2008/model.safetensors: 8%|▊ | 466MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 466MB / 5.85GB, 134MB/s New Data Upload : 90%|████████▉ | 421MB / 470MB, 124MB/s  ...12-2008/model.safetensors: 9%|▉ | 517MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 517MB / 5.85GB, 141MB/s New Data Upload : 87%|████████▋ | 469MB / 537MB, 130MB/s  ...12-2008/model.safetensors: 10%|█ | 587MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 587MB / 5.85GB, 152MB/s New Data Upload : 100%|█████████▉| 536MB / 537MB, 141MB/s  ...12-2008/model.safetensors: 10%|█ | 587MB / 5.85GB  ...12-2008/model.safetensors: 11%|█ | 657MB / 5.85GB  Processing Files (0 / 1) : 11%|█ | 657MB / 5.85GB, 154MB/s New Data Upload : 90%|████████▉ | 602MB / 671MB, 143MB/s  ...12-2008/model.safetensors: 11%|█ | 657MB / 5.85GB  ...12-2008/model.safetensors: 12%|█▏ | 727MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 727MB / 5.85GB, 156MB/s New Data Upload : 91%|█████████ | 670MB / 738MB, 146MB/s  ...12-2008/model.safetensors: 13%|█▎ | 744MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 744MB / 5.85GB, 153MB/s New Data Upload : 93%|█████████▎| 684MB / 738MB, 142MB/s  ...12-2008/model.safetensors: 14%|█▎ | 798MB / 5.85GB  Processing Files (0 / 1) : 14%|█▎ | 798MB / 5.85GB, 158MB/s New Data Upload : 92%|█████████▏| 737MB / 805MB, 147MB/s  ...12-2008/model.safetensors: 15%|█▍ | 868MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 868MB / 5.85GB, 165MB/s New Data Upload : 100%|█████████▉| 804MB / 805MB, 155MB/s  ...12-2008/model.safetensors: 15%|█▍ | 868MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 868MB / 5.85GB, 159MB/s New Data Upload : 92%|█████████▏| 804MB / 872MB, 149MB/s  ...12-2008/model.safetensors: 16%|█▌ | 937MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 937MB / 5.85GB, 166MB/s New Data Upload : 100%|█████████▉| 871MB / 872MB, 155MB/s  ...12-2008/model.safetensors: 16%|█▌ | 938MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 938MB / 5.85GB, 160MB/s New Data Upload : 93%|█████████▎| 871MB / 939MB, 150MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.03GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.03GB / 5.85GB, 170MB/s New Data Upload : 100%|█████████▉| 937MB / 939MB, 156MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.03GB / 5.85GB  ...12-2008/model.safetensors: 19%|█▊ | 1.09GB / 5.85GB  Processing Files (0 / 1) : 19%|█▊ | 1.09GB / 5.85GB, 170MB/s New Data Upload : 94%|█████████▎| 1.00GB / 1.07GB, 157MB/s  ...12-2008/model.safetensors: 19%|█▊ | 1.10GB / 5.85GB  Processing Files (0 / 1) : 19%|█▊ | 1.10GB / 5.85GB, 165MB/s New Data Upload : 94%|█████████▎| 1.01GB / 1.07GB, 152MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.16GB / 5.85GB  Processing Files (0 / 1) : 20%|█▉ | 1.16GB / 5.85GB, 170MB/s New Data Upload : 94%|█████████▍| 1.07GB / 1.14GB, 158MB/s  ...12-2008/model.safetensors: 21%|██ | 1.23GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.23GB / 5.85GB, 174MB/s New Data Upload : 100%|█████████▉| 1.14GB / 1.14GB, 163MB/s  ...12-2008/model.safetensors: 21%|██ | 1.23GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.23GB / 5.85GB, 170MB/s New Data Upload : 94%|█████████▍| 1.14GB / 1.21GB, 158MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.30GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.30GB / 5.85GB, 174MB/s New Data Upload : 100%|█████████▉| 1.21GB / 1.21GB, 163MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.30GB / 5.85GB  ...12-2008/model.safetensors: 23%|██▎ | 1.36GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.36GB / 5.85GB, 174MB/s New Data Upload : 95%|█████████▍| 1.27GB / 1.34GB, 163MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.36GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.36GB / 5.85GB, 169MB/s New Data Upload : 95%|█████████▍| 1.27GB / 1.34GB, 159MB/s  ...12-2008/model.safetensors: 24%|██▍ | 1.43GB / 5.85GB  Processing Files (0 / 1) : 24%|██▍ | 1.43GB / 5.85GB, 173MB/s New Data Upload : 95%|█████████▌| 1.34GB / 1.41GB, 164MB/s  ...12-2008/model.safetensors: 25%|██▌ | 1.49GB / 5.85GB  Processing Files (0 / 1) : 25%|██▌ | 1.49GB / 5.85GB, 176MB/s New Data Upload : 99%|█████████▉| 1.40GB / 1.41GB, 167MB/s  ...12-2008/model.safetensors: 26%|██▌ | 1.50GB / 5.85GB  Processing Files (0 / 1) : 26%|██▌ | 1.50GB / 5.85GB, 173MB/s New Data Upload : 95%|█████████▌| 1.41GB / 1.48GB, 164MB/s  ...12-2008/model.safetensors: 27%|██▋ | 1.56GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.56GB / 5.85GB, 177MB/s New Data Upload : 100%|█████████▉| 1.47GB / 1.48GB, 168MB/s  ...12-2008/model.safetensors: 27%|██▋ | 1.56GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.56GB / 5.85GB, 173MB/s New Data Upload : 96%|█████████▌| 1.47GB / 1.54GB, 164MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.63GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.63GB / 5.85GB, 176MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 168MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.63GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.63GB / 5.85GB, 173MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 164MB/s  ...12-2008/model.safetensors: 29%|██▉ | 1.70GB / 5.85GB  Processing Files (0 / 1) : 29%|██▉ | 1.70GB / 5.85GB, 176MB/s New Data Upload : 96%|█████████▌| 1.61GB / 1.68GB, 168MB/s  ...12-2008/model.safetensors: 30%|███ | 1.75GB / 5.85GB  Processing Files (0 / 1) : 30%|███ | 1.75GB / 5.85GB, 178MB/s New Data Upload : 99%|█████████▉| 1.66GB / 1.68GB, 170MB/s  ...12-2008/model.safetensors: 30%|███ | 1.77GB / 5.85GB  Processing Files (0 / 1) : 30%|███ | 1.77GB / 5.85GB, 176MB/s New Data Upload : 96%|█████████▌| 1.68GB / 1.74GB, 168MB/s  ...12-2008/model.safetensors: 31%|███▏ | 1.83GB / 5.85GB  Processing Files (0 / 1) : 31%|███▏ | 1.83GB / 5.85GB, 179MB/s New Data Upload : 100%|█████████▉| 1.74GB / 1.74GB, 171MB/s  ...12-2008/model.safetensors: 31%|███▏ | 1.83GB / 5.85GB  Processing Files (0 / 1) : 31%|███▏ | 1.83GB / 5.85GB, 179MB/s New Data Upload : 96%|█████████▋| 1.74GB / 1.81GB, 171MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.90GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.90GB / 5.85GB, 178MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 171MB/s  ...12-2008/model.safetensors: 32%|███▏ | 1.90GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.90GB / 5.85GB, 178MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 171MB/s  ...12-2008/model.safetensors: 34%|███▎ | 1.97GB / 5.85GB  Processing Files (0 / 1) : 34%|███▎ | 1.97GB / 5.85GB, 185MB/s New Data Upload : 97%|█████████▋| 1.88GB / 1.94GB, 178MB/s  ...12-2008/model.safetensors: 35%|███▍ | 2.03GB / 5.85GB  Processing Files (0 / 1) : 35%|███▍ | 2.03GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 1.94GB / 1.94GB, 184MB/s  ...12-2008/model.safetensors: 35%|███▍ | 2.03GB / 5.85GB  Processing Files (0 / 1) : 35%|███▍ | 2.03GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 1.94GB / 2.01GB, 184MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.10GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.10GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.01GB / 2.01GB, 190MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.10GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.10GB / 5.85GB, 190MB/s New Data Upload : 97%|█████████▋| 2.01GB / 2.08GB, 184MB/s  ...12-2008/model.safetensors: 37%|███▋ | 2.17GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.17GB / 5.85GB, 197MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 190MB/s  ...12-2008/model.safetensors: 37%|███▋ | 2.17GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.17GB / 5.85GB, 190MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 184MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.23GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.23GB / 5.85GB, 196MB/s New Data Upload : 97%|█████████▋| 2.14GB / 2.21GB, 191MB/s  ...12-2008/model.safetensors: 39%|███▊ | 2.26GB / 5.85GB  Processing Files (0 / 1) : 39%|███▊ | 2.26GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 2.17GB / 2.21GB, 187MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.30GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.30GB / 5.85GB, 196MB/s New Data Upload : 97%|█████████▋| 2.21GB / 2.28GB, 190MB/s  ...12-2008/model.safetensors: 40%|████ | 2.37GB / 5.85GB  Processing Files (0 / 1) : 40%|████ | 2.37GB / 5.85GB, 195MB/s New Data Upload : 100%|█████████▉| 2.28GB / 2.28GB, 190MB/s  ...12-2008/model.safetensors: 40%|████ | 2.37GB / 5.85GB  Processing Files (0 / 1) : 40%|████ | 2.37GB / 5.85GB, 195MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 191MB/s  ...12-2008/model.safetensors: 42%|████▏ | 2.44GB / 5.85GB  Processing Files (0 / 1) : 42%|████▏ | 2.44GB / 5.85GB, 195MB/s New Data Upload : 100%|█████████▉| 2.35GB / 2.35GB, 191MB/s  ...12-2008/model.safetensors: 42%|████▏ | 2.44GB / 5.85GB  Processing Files (0 / 1) : 42%|████▏ | 2.44GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.35GB / 2.41GB, 189MB/s  ...12-2008/model.safetensors: 43%|████▎ | 2.50GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.50GB / 5.85GB, 195MB/s New Data Upload : 97%|█████████▋| 2.41GB / 2.48GB, 191MB/s  ...12-2008/model.safetensors: 43%|████▎ | 2.54GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.54GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 2.45GB / 2.48GB, 187MB/s  ...12-2008/model.safetensors: 44%|████▍ | 2.57GB / 5.85GB  Processing Files (0 / 1) : 44%|████▍ | 2.57GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.48GB / 2.55GB, 191MB/s  ...12-2008/model.safetensors: 45%|████▌ | 2.64GB / 5.85GB  Processing Files (0 / 1) : 45%|████▌ | 2.64GB / 5.85GB, 194MB/s New Data Upload : 100%|█████████▉| 2.55GB / 2.55GB, 191MB/s  ...12-2008/model.safetensors: 45%|████▌ | 2.64GB / 5.85GB  Processing Files (0 / 1) : 45%|████▌ | 2.64GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.55GB / 2.62GB, 191MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.70GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.70GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.61GB / 2.68GB, 191MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.70GB / 5.85GB  ...12-2008/model.safetensors: 47%|████▋ | 2.77GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.77GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 2.68GB / 2.75GB, 191MB/s  ...12-2008/model.safetensors: 48%|████▊ | 2.82GB / 5.85GB  Processing Files (0 / 1) : 48%|████▊ | 2.82GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 2.73GB / 2.75GB, 188MB/s  ...12-2008/model.safetensors: 49%|████▊ | 2.84GB / 5.85GB  Processing Files (0 / 1) : 49%|████▊ | 2.84GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 2.75GB / 2.82GB, 191MB/s  ...12-2008/model.safetensors: 50%|████▉ | 2.91GB / 5.85GB  Processing Files (0 / 1) : 50%|████▉ | 2.91GB / 5.85GB, 193MB/s New Data Upload : 100%|█████████▉| 2.82GB / 2.82GB, 191MB/s  ...12-2008/model.safetensors: 50%|████▉ | 2.91GB / 5.85GB  Processing Files (0 / 1) : 50%|████▉ | 2.91GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 2.82GB / 2.88GB, 191MB/s  ...12-2008/model.safetensors: 51%|█████ | 2.97GB / 5.85GB  Processing Files (0 / 1) : 51%|█████ | 2.97GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.88GB / 2.95GB, 191MB/s  ...12-2008/model.safetensors: 51%|█████ | 2.97GB / 5.85GB  ...12-2008/model.safetensors: 52%|█████▏ | 3.04GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.04GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.95GB / 3.02GB, 191MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.07GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.07GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▊| 2.98GB / 3.02GB, 193MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.11GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.11GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.02GB / 3.09GB, 191MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.17GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▍ | 3.17GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 3.08GB / 3.09GB, 191MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.17GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▍ | 3.17GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.08GB / 3.15GB, 191MB/s  ...12-2008/model.safetensors: 55%|█████▌ | 3.24GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.24GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.15GB / 3.22GB, 191MB/s  ...12-2008/model.safetensors: 55%|█████▌ | 3.24GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.24GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.15GB / 3.22GB, 191MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.31GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.31GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.22GB / 3.29GB, 191MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.34GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.34GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▉| 3.25GB / 3.29GB, 194MB/s  ...12-2008/model.safetensors: 58%|█████▊ | 3.38GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.38GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.29GB / 3.35GB, 191MB/s  ...12-2008/model.safetensors: 59%|█████▉ | 3.44GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▉ | 3.44GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 3.35GB / 3.35GB, 191MB/s  ...12-2008/model.safetensors: 59%|█████▉ | 3.44GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▉ | 3.44GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.35GB / 3.42GB, 191MB/s  ...12-2008/model.safetensors: 60%|██████ | 3.51GB / 5.85GB  Processing Files (0 / 1) : 60%|██████ | 3.51GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.42GB / 3.49GB, 191MB/s  ...12-2008/model.safetensors: 60%|██████ | 3.51GB / 5.85GB  Processing Files (0 / 1) : 60%|██████ | 3.51GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.42GB / 3.49GB, 191MB/s  ...12-2008/model.safetensors: 61%|██████ | 3.58GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.58GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.49GB / 3.55GB, 191MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.64GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.64GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.55GB / 3.55GB, 197MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.64GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.64GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.55GB / 3.62GB, 191MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.71GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.71GB / 5.85GB, 192MB/s New Data Upload : 100%|█████████▉| 3.62GB / 3.62GB, 192MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.71GB / 5.85GB  ...12-2008/model.safetensors: 65%|██████▍ | 3.78GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▍ | 3.78GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.69GB / 3.76GB, 191MB/s  ...12-2008/model.safetensors: 65%|██████▍ | 3.80GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▍ | 3.80GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 3.71GB / 3.76GB, 193MB/s  ...12-2008/model.safetensors: 66%|██████▌ | 3.85GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▌ | 3.85GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.75GB / 3.82GB, 191MB/s  ...12-2008/model.safetensors: 67%|██████▋ | 3.91GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.91GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.82GB / 3.82GB, 197MB/s  ...12-2008/model.safetensors: 67%|██████▋ | 3.91GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.91GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.82GB / 3.89GB, 191MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.98GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.98GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.89GB / 3.96GB, 191MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.98GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.98GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.89GB / 3.96GB, 191MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.05GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.05GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.96GB / 4.02GB, 191MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.06GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.06GB / 5.85GB, 192MB/s New Data Upload : 99%|█████████▊| 3.97GB / 4.02GB, 192MB/s  ...12-2008/model.safetensors: 70%|███████ | 4.11GB / 5.85GB  Processing Files (0 / 1) : 70%|███████ | 4.11GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 191MB/s  ...12-2008/model.safetensors: 71%|███████▏ | 4.18GB / 5.85GB  Processing Files (0 / 1) : 71%|███████▏ | 4.18GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.09GB / 4.09GB, 197MB/s  ...12-2008/model.safetensors: 71%|███████▏ | 4.18GB / 5.85GB  ...12-2008/model.safetensors: 73%|███████▎ | 4.25GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.25GB / 5.85GB, 195MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.22GB, 195MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.25GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.25GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.22GB, 191MB/s  ...12-2008/model.safetensors: 74%|███████▍ | 4.31GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.31GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.22GB / 4.29GB, 191MB/s  ...12-2008/model.safetensors: 75%|███████▍ | 4.37GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▍ | 4.37GB / 5.85GB, 196MB/s New Data Upload : 100%|█████████▉| 4.28GB / 4.29GB, 196MB/s  ...12-2008/model.safetensors: 75%|███████▍ | 4.38GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▍ | 4.38GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 191MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.45GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.45GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.36GB / 4.36GB, 197MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.45GB / 5.85GB  ...12-2008/model.safetensors: 77%|███████▋ | 4.52GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.52GB / 5.85GB, 194MB/s New Data Upload : 98%|█████████▊| 4.43GB / 4.49GB, 194MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.52GB / 5.85GB  ...12-2008/model.safetensors: 78%|███████▊ | 4.58GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.58GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.49GB / 4.56GB, 191MB/s  ...12-2008/model.safetensors: 80%|███████▉ | 4.65GB / 5.85GB  Processing Files (0 / 1) : 80%|███████▉ | 4.65GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.56GB / 4.56GB, 197MB/s  ...12-2008/model.safetensors: 80%|███████▉ | 4.65GB / 5.85GB  Processing Files (0 / 1) : 80%|███████▉ | 4.65GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.56GB / 4.63GB, 191MB/s  ...12-2008/model.safetensors: 81%|████████ | 4.72GB / 5.85GB  Processing Files (0 / 1) : 81%|████████ | 4.72GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.63GB / 4.63GB, 197MB/s  ...12-2008/model.safetensors: 81%|████████ | 4.72GB / 5.85GB  Processing Files (0 / 1) : 81%|████████ | 4.72GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.63GB / 4.69GB, 191MB/s  ...12-2008/model.safetensors: 82%|████████▏ | 4.78GB / 5.85GB  Processing Files (0 / 1) : 82%|████████▏ | 4.78GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 193MB/s  ...12-2008/model.safetensors: 82%|████████▏ | 4.80GB / 5.85GB  Processing Files (0 / 1) : 82%|████████▏ | 4.80GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 4.71GB / 4.76GB, 193MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.85GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.85GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.76GB / 4.83GB, 191MB/s  ...12-2008/model.safetensors: 84%|████████▍ | 4.92GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▍ | 4.92GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.83GB / 4.83GB, 197MB/s  ...12-2008/model.safetensors: 84%|████████▍ | 4.92GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▍ | 4.92GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.83GB / 4.90GB, 191MB/s  ...12-2008/model.safetensors: 85%|████████▌ | 4.98GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▌ | 4.98GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 4.89GB / 4.96GB, 197MB/s  ...12-2008/model.safetensors: 85%|████████▌ | 4.99GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▌ | 4.99GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.90GB / 4.96GB, 191MB/s  ...12-2008/model.safetensors: 86%|████████▋ | 5.05GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▋ | 5.05GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▊| 4.96GB / 5.03GB, 195MB/s  ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.10GB / 5.85GB, 196MB/s New Data Upload : 100%|█████████▉| 5.01GB / 5.03GB, 196MB/s  ...12-2008/model.safetensors: 88%|████████▊ | 5.12GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.12GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.03GB / 5.10GB, 191MB/s  ...12-2008/model.safetensors: 89%|████████▊ | 5.19GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▊ | 5.19GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 5.10GB / 5.10GB, 197MB/s  ...12-2008/model.safetensors: 89%|████████▊ | 5.19GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▊ | 5.19GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 191MB/s  ...12-2008/model.safetensors: 90%|████████▉ | 5.25GB / 5.85GB  Processing Files (0 / 1) : 90%|████████▉ | 5.25GB / 5.85GB, 197MB/s New Data Upload : 99%|█████████▊| 5.16GB / 5.23GB, 197MB/s  ...12-2008/model.safetensors: 90%|████████▉ | 5.25GB / 5.85GB  ...12-2008/model.safetensors: 91%|█████████ | 5.32GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.32GB / 5.85GB, 194MB/s New Data Upload : 99%|█████████▊| 5.23GB / 5.30GB, 194MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.32GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.32GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.23GB / 5.30GB, 191MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.39GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.39GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 5.30GB / 5.36GB, 191MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.41GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.41GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 5.32GB / 5.36GB, 193MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.45GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.45GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.36GB / 5.43GB, 191MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.50GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.50GB / 5.85GB, 195MB/s New Data Upload : 100%|█████████▉| 5.41GB / 5.43GB, 195MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.52GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.52GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.43GB / 5.50GB, 191MB/s  ...12-2008/model.safetensors: 96%|█████████▌| 5.59GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▌| 5.59GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.50GB / 5.50GB, 191MB/s  ...12-2008/model.safetensors: 96%|█████████▌| 5.59GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▌| 5.59GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▉| 5.50GB / 5.57GB, 191MB/s  ...12-2008/model.safetensors: 97%|█████████▋| 5.66GB / 5.85GB  Processing Files (0 / 1) : 97%|█████████▋| 5.66GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.56GB / 5.57GB, 191MB/s  ...12-2008/model.safetensors: 97%|█████████▋| 5.66GB / 5.85GB  ...12-2008/model.safetensors: 98%|█████████▊| 5.72GB / 5.85GB  Processing Files (0 / 1) : 98%|█████████▊| 5.72GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.63GB / 5.63GB, 191MB/s  ...12-2008/model.safetensors: 98%|█████████▊| 5.72GB / 5.85GB  ...12-2008/model.safetensors: 99%|█████████▉| 5.79GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▉| 5.79GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.70GB / 5.70GB, 191MB/s  ...12-2008/model.safetensors: 99%|█████████▉| 5.79GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▉| 5.79GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▉| 5.70GB / 5.76GB, 184MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 190MB/s New Data Upload : 100%|█████████▉| 5.76GB / 5.76GB, 190MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 183MB/s New Data Upload : 100%|█████████▉| 5.76GB / 5.76GB, 183MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 183MB/s New Data Upload : 100%|█████████▉| 5.76GB / 5.76GB, 183MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 163MB/s New Data Upload : 100%|██████████| 5.76GB / 5.76GB, 163MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 140MB/s New Data Upload : 100%|██████████| 5.76GB / 5.76GB, 140MB/s ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB INFO 2026-03-13 17:25:38 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 17:25:40 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 17:25:40 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. [Avatar] Pushed checkpoint (step 60000) OK [Avatar] Tagged as 'step-60000' Training: 86%|████████▌ | 60001/70000 [21:15:52<56:25:40, 20.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=10281 Training: 86%|████████▌ | 60002/70000 [21:15:53<40:30:27, 14.59s/step] Training: 86%|████████▌ | 60003/70000 [21:15:54<29:25:38, 10.60s/step] Training: 86%|████████▌ | 60004/70000 [21:15:56<21:37:32, 7.79s/step] Training: 86%|████████▌ | 60005/70000 [21:15:57<16:09:23, 5.82s/step] Training: 86%|████████▌ | 60006/70000 [21:15:58<12:26:16, 4.48s/step] Training: 86%|████████▌ | 60007/70000 [21:15:59<9:44:12, 3.51s/step] Training: 86%|████████▌ | 60008/70000 [21:16:01<7:48:09, 2.81s/step] Training: 86%|████████▌ | 60009/70000 [21:16:02<6:32:54, 2.36s/step] Training: 86%|████████▌ | 60010/70000 [21:16:03<5:41:31, 2.05s/step] Training: 86%|████████▌ | 60011/70000 [21:16:05<5:05:04, 1.83s/step] Training: 86%|████████▌ | 60012/70000 [21:16:06<4:33:40, 1.64s/step] Training: 86%|████████▌ | 60013/70000 [21:16:07<4:18:25, 1.55s/step] Training: 86%|████████▌ | 60014/70000 [21:16:08<4:00:58, 1.45s/step] Training: 86%|████████▌ | 60015/70000 [21:16:09<3:49:03, 1.38s/step] Training: 86%|████████▌ | 60016/70000 [21:16:11<3:39:55, 1.32s/step] Training: 86%|████████▌ | 60017/70000 [21:16:12<3:33:02, 1.28s/step] Training: 86%|████████▌ | 60018/70000 [21:16:13<3:37:31, 1.31s/step] Training: 86%|████████▌ | 60019/70000 [21:16:15<3:38:55, 1.32s/step] Training: 86%|████████▌ | 60020/70000 [21:16:16<3:39:11, 1.32s/step] Training: 86%|████████▌ | 60021/70000 [21:16:17<3:41:18, 1.33s/step] Training: 86%|████████▌ | 60022/70000 [21:16:19<3:39:10, 1.32s/step] Training: 86%|████████▌ | 60023/70000 [21:16:20<3:42:05, 1.34s/step] Training: 86%|████████▌ | 60024/70000 [21:16:21<3:36:22, 1.30s/step] Training: 86%|████████▌ | 60025/70000 [21:16:22<3:30:48, 1.27s/step] Training: 86%|████████▌ | 60026/70000 [21:16:24<3:34:15, 1.29s/step] Training: 86%|████████▌ | 60027/70000 [21:16:25<3:31:09, 1.27s/step] Training: 86%|████████▌ | 60028/70000 [21:16:26<3:34:08, 1.29s/step] Training: 86%|████████▌ | 60029/70000 [21:16:27<3:31:25, 1.27s/step] Training: 86%|████████▌ | 60030/70000 [21:16:29<3:29:44, 1.26s/step] Training: 86%|████████▌ | 60031/70000 [21:16:30<3:32:58, 1.28s/step] Training: 86%|████████▌ | 60032/70000 [21:16:31<3:29:40, 1.26s/step] Training: 86%|████████▌ | 60033/70000 [21:16:32<3:25:59, 1.24s/step] Training: 86%|████████▌ | 60034/70000 [21:16:34<3:30:20, 1.27s/step] Training: 86%|████████▌ | 60035/70000 [21:16:35<3:27:26, 1.25s/step] Training: 86%|████████▌ | 60036/70000 [21:16:36<3:26:04, 1.24s/step] Training: 86%|████████▌ | 60037/70000 [21:16:37<3:24:15, 1.23s/step] Training: 86%|████████▌ | 60038/70000 [21:16:39<3:22:20, 1.22s/step] Training: 86%|████████▌ | 60039/70000 [21:16:40<3:28:40, 1.26s/step] Training: 86%|████████▌ | 60040/70000 [21:16:41<3:31:59, 1.28s/step] Training: 86%|████████▌ | 60041/70000 [21:16:42<3:27:33, 1.25s/step] Training: 86%|████████▌ | 60042/70000 [21:16:44<3:31:47, 1.28s/step] Training: 86%|████████▌ | 60043/70000 [21:16:45<3:34:18, 1.29s/step] Training: 86%|████████▌ | 60044/70000 [21:16:46<3:30:11, 1.27s/step] Training: 86%|████████▌ | 60045/70000 [21:16:48<3:33:39, 1.29s/step] Training: 86%|████████▌ | 60046/70000 [21:16:49<3:29:03, 1.26s/step] Training: 86%|████████▌ | 60047/70000 [21:16:50<3:30:50, 1.27s/step] Training: 86%|████████▌ | 60048/70000 [21:16:51<3:33:50, 1.29s/step] Training: 86%|████████▌ | 60049/70000 [21:16:53<3:29:09, 1.26s/step] Training: 86%|████████▌ | 60050/70000 [21:16:54<3:35:41, 1.30s/step] Training: 86%|████████▌ | 60051/70000 [21:16:55<3:37:33, 1.31s/step] Training: 86%|████████▌ | 60052/70000 [21:16:57<3:38:47, 1.32s/step] Training: 86%|████████▌ | 60053/70000 [21:16:58<3:33:06, 1.29s/step] Training: 86%|████████▌ | 60054/70000 [21:16:59<3:35:19, 1.30s/step] Training: 86%|████████▌ | 60055/70000 [21:17:01<3:37:45, 1.31s/step] Training: 86%|████████▌ | 60056/70000 [21:17:02<3:32:44, 1.28s/step] Training: 86%|████████▌ | 60057/70000 [21:17:03<3:27:54, 1.25s/step] Training: 86%|████████▌ | 60058/70000 [21:17:04<3:31:37, 1.28s/step] Training: 86%|████████▌ | 60059/70000 [21:17:06<3:29:46, 1.27s/step] Training: 86%|████████▌ | 60060/70000 [21:17:07<3:32:52, 1.28s/step] Training: 86%|████████▌ | 60061/70000 [21:17:08<3:27:49, 1.25s/step] Training: 86%|████████▌ | 60062/70000 [21:17:09<3:30:32, 1.27s/step] Training: 86%|████████▌ | 60063/70000 [21:17:11<3:34:37, 1.30s/step] Training: 86%|████████▌ | 60064/70000 [21:17:12<3:29:43, 1.27s/step] Training: 86%|████████▌ | 60065/70000 [21:17:13<3:25:53, 1.24s/step] Training: 86%|████████▌ | 60066/70000 [21:17:14<3:30:17, 1.27s/step] Training: 86%|████████▌ | 60067/70000 [21:17:16<3:26:47, 1.25s/step] Training: 86%|████████▌ | 60068/70000 [21:17:17<3:25:28, 1.24s/step] Training: 86%|████████▌ | 60069/70000 [21:17:18<3:22:45, 1.22s/step] Training: 86%|████████▌ | 60070/70000 [21:17:19<3:20:53, 1.21s/step] Training: 86%|████████▌ | 60071/70000 [21:17:21<3:22:03, 1.22s/step] Training: 86%|████████▌ | 60072/70000 [21:17:22<3:33:35, 1.29s/step] Training: 86%|████████▌ | 60073/70000 [21:17:23<3:28:33, 1.26s/step] Training: 86%|████████▌ | 60074/70000 [21:17:25<3:32:28, 1.28s/step] Training: 86%|████████▌ | 60075/70000 [21:17:26<3:34:36, 1.30s/step] Training: 86%|████████▌ | 60076/70000 [21:17:27<3:29:56, 1.27s/step] Training: 86%|████████▌ | 60077/70000 [21:17:28<3:26:01, 1.25s/step] Training: 86%|████████▌ | 60078/70000 [21:17:30<3:29:16, 1.27s/step] Training: 86%|████████▌ | 60079/70000 [21:17:31<3:27:12, 1.25s/step] Training: 86%|████████▌ | 60080/70000 [21:17:32<3:36:07, 1.31s/step] Training: 86%|████████▌ | 60081/70000 [21:17:33<3:31:17, 1.28s/step] Training: 86%|████████▌ | 60082/70000 [21:17:35<3:35:40, 1.30s/step] Training: 86%|████████▌ | 60083/70000 [21:17:36<3:36:59, 1.31s/step] Training: 86%|████████▌ | 60084/70000 [21:17:37<3:37:33, 1.32s/step] Training: 86%|████████▌ | 60085/70000 [21:17:39<3:31:38, 1.28s/step] Training: 86%|████████▌ | 60086/70000 [21:17:40<3:33:35, 1.29s/step] Training: 86%|████████▌ | 60087/70000 [21:17:41<3:35:03, 1.30s/step] Training: 86%|████████▌ | 60088/70000 [21:17:43<3:36:14, 1.31s/step] Training: 86%|████████▌ | 60089/70000 [21:17:44<3:30:08, 1.27s/step] Training: 86%|████████▌ | 60090/70000 [21:17:45<3:32:42, 1.29s/step] Training: 86%|████████▌ | 60091/70000 [21:17:46<3:29:27, 1.27s/step] Training: 86%|████████▌ | 60092/70000 [21:17:48<3:32:22, 1.29s/step] Training: 86%|████████▌ | 60093/70000 [21:17:49<3:27:46, 1.26s/step] Training: 86%|████████▌ | 60094/70000 [21:17:50<3:24:57, 1.24s/step] Training: 86%|████████▌ | 60095/70000 [21:17:51<3:29:44, 1.27s/step] Training: 86%|████████▌ | 60096/70000 [21:17:53<3:34:26, 1.30s/step] Training: 86%|████████▌ | 60097/70000 [21:17:54<3:28:28, 1.26s/step] Training: 86%|████████▌ | 60098/70000 [21:17:55<3:32:20, 1.29s/step] Training: 86%|████████▌ | 60099/70000 [21:17:56<3:28:48, 1.27s/step] Training: 86%|████████▌ | 60100/70000 [21:17:58<3:26:35, 1.25s/step]INFO 2026-03-13 17:27:50 ot_train.py:435 step:60K smpl:4M ep:13K epch:50.94 loss:0.007 grdn:0.726 lr:2.2e-06 updt_s:1.250 data_s:0.018 Training: 86%|████████▌ | 60101/70000 [21:17:59<3:23:20, 1.23s/step] Training: 86%|████████▌ | 60102/70000 [21:18:00<3:28:24, 1.26s/step] Training: 86%|████████▌ | 60103/70000 [21:18:01<3:26:53, 1.25s/step] Training: 86%|████████▌ | 60104/70000 [21:18:03<3:30:33, 1.28s/step] Training: 86%|████████▌ | 60105/70000 [21:18:04<3:26:08, 1.25s/step] Training: 86%|████████▌ | 60106/70000 [21:18:05<3:30:16, 1.28s/step] Training: 86%|████████▌ | 60107/70000 [21:18:07<3:32:53, 1.29s/step] Training: 86%|████████▌ | 60108/70000 [21:18:08<3:28:10, 1.26s/step] Training: 86%|████████▌ | 60109/70000 [21:18:09<3:24:39, 1.24s/step] Training: 86%|████████▌ | 60110/70000 [21:18:10<3:28:38, 1.27s/step] Training: 86%|████████▌ | 60111/70000 [21:18:12<3:26:44, 1.25s/step] Training: 86%|████████▌ | 60112/70000 [21:18:13<3:24:46, 1.24s/step] Training: 86%|████████▌ | 60113/70000 [21:18:14<3:30:32, 1.28s/step] Training: 86%|████████▌ | 60114/70000 [21:18:16<3:35:52, 1.31s/step] Training: 86%|████████▌ | 60115/70000 [21:18:17<3:37:35, 1.32s/step] Training: 86%|████████▌ | 60116/70000 [21:18:18<3:38:12, 1.32s/step] Training: 86%|████████▌ | 60117/70000 [21:18:19<3:31:50, 1.29s/step] Training: 86%|████████▌ | 60118/70000 [21:18:21<3:33:56, 1.30s/step] Training: 86%|████████▌ | 60119/70000 [21:18:22<3:35:15, 1.31s/step] Training: 86%|████████▌ | 60120/70000 [21:18:23<3:29:21, 1.27s/step] Training: 86%|████████▌ | 60121/70000 [21:18:25<3:31:42, 1.29s/step] Training: 86%|████████▌ | 60122/70000 [21:18:26<3:33:16, 1.30s/step] Training: 86%|████████▌ | 60123/70000 [21:18:27<3:30:11, 1.28s/step] Training: 86%|████████▌ | 60124/70000 [21:18:28<3:32:35, 1.29s/step] Training: 86%|████████▌ | 60125/70000 [21:18:30<3:27:36, 1.26s/step] Training: 86%|████████▌ | 60126/70000 [21:18:31<3:25:01, 1.25s/step] Training: 86%|████████▌ | 60127/70000 [21:18:32<3:29:09, 1.27s/step] Training: 86%|████████▌ | 60128/70000 [21:18:33<3:25:07, 1.25s/step] Training: 86%|████████▌ | 60129/70000 [21:18:35<3:30:50, 1.28s/step] Training: 86%|████████▌ | 60130/70000 [21:18:36<3:32:36, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=33592 Training: 86%|████████▌ | 60131/70000 [21:18:37<3:29:31, 1.27s/step] Training: 86%|████████▌ | 60132/70000 [21:18:39<3:27:11, 1.26s/step] Training: 86%|████████▌ | 60133/70000 [21:18:40<3:23:43, 1.24s/step] Training: 86%|████████▌ | 60134/70000 [21:18:41<3:28:07, 1.27s/step] Training: 86%|████████▌ | 60135/70000 [21:18:42<3:26:15, 1.25s/step] Training: 86%|████████▌ | 60136/70000 [21:18:43<3:23:00, 1.23s/step] Training: 86%|████████▌ | 60137/70000 [21:18:45<3:26:04, 1.25s/step] Training: 86%|████████▌ | 60138/70000 [21:18:46<3:35:40, 1.31s/step] Training: 86%|████████▌ | 60139/70000 [21:18:47<3:29:35, 1.28s/step] Training: 86%|████████▌ | 60140/70000 [21:18:49<3:31:23, 1.29s/step] Training: 86%|████████▌ | 60141/70000 [21:18:50<3:27:04, 1.26s/step] Training: 86%|████████▌ | 60142/70000 [21:18:51<3:31:47, 1.29s/step] Training: 86%|████████▌ | 60143/70000 [21:18:53<3:29:31, 1.28s/step] Training: 86%|████████▌ | 60144/70000 [21:18:54<3:25:47, 1.25s/step] Training: 86%|████████▌ | 60145/70000 [21:18:55<3:29:39, 1.28s/step] Training: 86%|████████▌ | 60146/70000 [21:18:56<3:37:49, 1.33s/step] Training: 86%|████████▌ | 60147/70000 [21:18:58<3:31:42, 1.29s/step] Training: 86%|████████▌ | 60148/70000 [21:18:59<3:33:30, 1.30s/step] Training: 86%|████████▌ | 60149/70000 [21:19:00<3:27:57, 1.27s/step] Training: 86%|████████▌ | 60150/70000 [21:19:02<3:30:48, 1.28s/step] Training: 86%|████████▌ | 60151/70000 [21:19:03<3:33:12, 1.30s/step] Training: 86%|████████▌ | 60152/70000 [21:19:04<3:27:54, 1.27s/step] Training: 86%|████████▌ | 60153/70000 [21:19:05<3:25:14, 1.25s/step] Training: 86%|████████▌ | 60154/70000 [21:19:07<3:28:38, 1.27s/step] Training: 86%|████████▌ | 60155/70000 [21:19:08<3:26:35, 1.26s/step] Training: 86%|████████▌ | 60156/70000 [21:19:09<3:30:25, 1.28s/step] Training: 86%|████████▌ | 60157/70000 [21:19:10<3:25:45, 1.25s/step] Training: 86%|████████▌ | 60158/70000 [21:19:12<3:27:45, 1.27s/step] Training: 86%|████████▌ | 60159/70000 [21:19:13<3:30:16, 1.28s/step] Training: 86%|████████▌ | 60160/70000 [21:19:14<3:25:38, 1.25s/step] Training: 86%|████████▌ | 60161/70000 [21:19:15<3:29:17, 1.28s/step] Training: 86%|████████▌ | 60162/70000 [21:19:17<3:33:52, 1.30s/step] Training: 86%|████████▌ | 60163/70000 [21:19:18<3:28:32, 1.27s/step] Training: 86%|████████▌ | 60164/70000 [21:19:19<3:26:29, 1.26s/step] Training: 86%|████████▌ | 60165/70000 [21:19:20<3:23:01, 1.24s/step] Training: 86%|████████▌ | 60166/70000 [21:19:22<3:20:40, 1.22s/step] Training: 86%|████████▌ | 60167/70000 [21:19:23<3:20:48, 1.23s/step] Training: 86%|████████▌ | 60168/70000 [21:19:24<3:18:58, 1.21s/step] Training: 86%|████████▌ | 60169/70000 [21:19:25<3:24:45, 1.25s/step] Training: 86%|████████▌ | 60170/70000 [21:19:27<3:28:39, 1.27s/step] Training: 86%|████████▌ | 60171/70000 [21:19:28<3:31:19, 1.29s/step] Training: 86%|████████▌ | 60172/70000 [21:19:29<3:27:51, 1.27s/step] Training: 86%|████████▌ | 60173/70000 [21:19:30<3:23:46, 1.24s/step] Training: 86%|████████▌ | 60174/70000 [21:19:32<3:21:42, 1.23s/step] Training: 86%|████████▌ | 60175/70000 [21:19:33<3:21:55, 1.23s/step] Training: 86%|████████▌ | 60176/70000 [21:19:34<3:20:23, 1.22s/step] Training: 86%|████████▌ | 60177/70000 [21:19:35<3:25:21, 1.25s/step] Training: 86%|████████▌ | 60178/70000 [21:19:37<3:31:52, 1.29s/step] Training: 86%|████████▌ | 60179/70000 [21:19:38<3:38:25, 1.33s/step] Training: 86%|████████▌ | 60180/70000 [21:19:41<4:36:31, 1.69s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 86%|████████▌ | 60181/70000 [21:19:45<6:24:22, 2.35s/step] Training: 86%|████████▌ | 60182/70000 [21:19:46<5:32:08, 2.03s/step] Training: 86%|████████▌ | 60183/70000 [21:19:47<4:59:27, 1.83s/step] Training: 86%|████████▌ | 60184/70000 [21:19:48<4:28:11, 1.64s/step] Training: 86%|████████▌ | 60185/70000 [21:19:50<4:08:53, 1.52s/step] Training: 86%|████████▌ | 60186/70000 [21:19:51<4:01:32, 1.48s/step] Training: 86%|████████▌ | 60187/70000 [21:19:52<3:53:14, 1.43s/step] Training: 86%|████████▌ | 60188/70000 [21:19:54<3:50:21, 1.41s/step] Training: 86%|████████▌ | 60189/70000 [21:19:55<3:39:47, 1.34s/step] Training: 86%|████████▌ | 60190/70000 [21:19:56<3:32:41, 1.30s/step] Training: 86%|████████▌ | 60191/70000 [21:19:57<3:34:02, 1.31s/step] Training: 86%|████████▌ | 60192/70000 [21:19:59<3:28:12, 1.27s/step] Training: 86%|████████▌ | 60193/70000 [21:20:00<3:31:21, 1.29s/step] Training: 86%|████████▌ | 60194/70000 [21:20:01<3:27:16, 1.27s/step] Training: 86%|████████▌ | 60195/70000 [21:20:03<3:28:53, 1.28s/step] Training: 86%|████████▌ | 60196/70000 [21:20:04<3:32:36, 1.30s/step] Training: 86%|████████▌ | 60197/70000 [21:20:05<3:26:42, 1.27s/step] Training: 86%|████████▌ | 60198/70000 [21:20:06<3:29:52, 1.28s/step] Training: 86%|████████▌ | 60199/70000 [21:20:08<3:27:21, 1.27s/step] Training: 86%|████████▌ | 60200/70000 [21:20:09<3:23:35, 1.25s/step]INFO 2026-03-13 17:30:01 ot_train.py:435 step:60K smpl:4M ep:13K epch:51.03 loss:0.007 grdn:0.640 lr:2.2e-06 updt_s:1.252 data_s:0.057 Training: 86%|████████▌ | 60201/70000 [21:20:10<3:27:42, 1.27s/step] Training: 86%|████████▌ | 60202/70000 [21:20:12<3:31:55, 1.30s/step] Training: 86%|████████▌ | 60203/70000 [21:20:13<3:37:53, 1.33s/step] Training: 86%|████████▌ | 60204/70000 [21:20:14<3:31:34, 1.30s/step] Training: 86%|████████▌ | 60205/70000 [21:20:15<3:27:00, 1.27s/step] Training: 86%|████████▌ | 60206/70000 [21:20:17<3:31:25, 1.30s/step] Training: 86%|████████▌ | 60207/70000 [21:20:18<3:29:52, 1.29s/step] Training: 86%|████████▌ | 60208/70000 [21:20:19<3:25:42, 1.26s/step] Training: 86%|████████▌ | 60209/70000 [21:20:21<3:29:40, 1.28s/step] Training: 86%|████████▌ | 60210/70000 [21:20:22<3:34:35, 1.32s/step] Training: 86%|████████▌ | 60211/70000 [21:20:23<3:28:27, 1.28s/step] Training: 86%|████████▌ | 60212/70000 [21:20:25<3:36:12, 1.33s/step] Training: 86%|████████▌ | 60213/70000 [21:20:26<3:29:29, 1.28s/step] Training: 86%|████████▌ | 60214/70000 [21:20:27<3:27:26, 1.27s/step] Training: 86%|████████▌ | 60215/70000 [21:20:28<3:30:06, 1.29s/step] Training: 86%|████████▌ | 60216/70000 [21:20:29<3:25:15, 1.26s/step] Training: 86%|████████▌ | 60217/70000 [21:20:31<3:22:55, 1.24s/step] Training: 86%|████████▌ | 60218/70000 [21:20:32<3:27:02, 1.27s/step] Training: 86%|████████▌ | 60219/70000 [21:20:33<3:23:16, 1.25s/step] Training: 86%|████████▌ | 60220/70000 [21:20:35<3:33:01, 1.31s/step] Training: 86%|████████▌ | 60221/70000 [21:20:36<3:27:16, 1.27s/step] Training: 86%|████████▌ | 60222/70000 [21:20:37<3:24:41, 1.26s/step] Training: 86%|████████▌ | 60223/70000 [21:20:38<3:28:24, 1.28s/step] Training: 86%|████████▌ | 60224/70000 [21:20:40<3:23:58, 1.25s/step] Training: 86%|████████▌ | 60225/70000 [21:20:41<3:28:07, 1.28s/step] Training: 86%|████████▌ | 60226/70000 [21:20:42<3:30:33, 1.29s/step] Training: 86%|████████▌ | 60227/70000 [21:20:43<3:25:29, 1.26s/step] Training: 86%|████████▌ | 60228/70000 [21:20:45<3:23:52, 1.25s/step] Training: 86%|████████▌ | 60229/70000 [21:20:46<3:20:31, 1.23s/step] Training: 86%|████████▌ | 60230/70000 [21:20:47<3:25:28, 1.26s/step] Training: 86%|████████▌ | 60231/70000 [21:20:48<3:23:53, 1.25s/step] Training: 86%|████████▌ | 60232/70000 [21:20:50<3:21:04, 1.24s/step] Training: 86%|████████▌ | 60233/70000 [21:20:51<3:25:25, 1.26s/step] Training: 86%|████████▌ | 60234/70000 [21:20:52<3:30:18, 1.29s/step] Training: 86%|████████▌ | 60235/70000 [21:20:54<3:25:50, 1.26s/step] Training: 86%|████████▌ | 60236/70000 [21:20:55<3:28:38, 1.28s/step] Training: 86%|████████▌ | 60237/70000 [21:20:56<3:24:28, 1.26s/step] Training: 86%|████████▌ | 60238/70000 [21:20:57<3:29:33, 1.29s/step] Training: 86%|████████▌ | 60239/70000 [21:20:59<3:27:36, 1.28s/step] Training: 86%|████████▌ | 60240/70000 [21:21:00<3:23:45, 1.25s/step] Training: 86%|████████▌ | 60241/70000 [21:21:01<3:27:32, 1.28s/step] Training: 86%|████████▌ | 60242/70000 [21:21:03<3:32:44, 1.31s/step] Training: 86%|████████▌ | 60243/70000 [21:21:04<3:27:31, 1.28s/step] Training: 86%|████████▌ | 60244/70000 [21:21:05<3:29:36, 1.29s/step] Training: 86%|████████▌ | 60245/70000 [21:21:06<3:24:40, 1.26s/step] Training: 86%|████████▌ | 60246/70000 [21:21:07<3:23:27, 1.25s/step] Training: 86%|████████▌ | 60247/70000 [21:21:09<3:27:34, 1.28s/step] Training: 86%|████████▌ | 60248/70000 [21:21:10<3:23:14, 1.25s/step] Training: 86%|████████▌ | 60249/70000 [21:21:11<3:21:27, 1.24s/step] Training: 86%|████████▌ | 60250/70000 [21:21:13<3:25:28, 1.26s/step] Training: 86%|████████▌ | 60251/70000 [21:21:14<3:21:58, 1.24s/step] Training: 86%|████████▌ | 60252/70000 [21:21:15<3:26:07, 1.27s/step] Training: 86%|████████▌ | 60253/70000 [21:21:16<3:29:40, 1.29s/step] Training: 86%|████████▌ | 60254/70000 [21:21:18<3:25:25, 1.26s/step] Training: 86%|████████▌ | 60255/70000 [21:21:19<3:28:42, 1.28s/step] Training: 86%|████████▌ | 60256/70000 [21:21:20<3:24:00, 1.26s/step] Training: 86%|████████▌ | 60257/70000 [21:21:21<3:27:28, 1.28s/step] Training: 86%|████████▌ | 60258/70000 [21:21:23<3:30:14, 1.29s/step] Training: 86%|████████▌ | 60259/70000 [21:21:24<3:25:04, 1.26s/step] Training: 86%|████████▌ | 60260/70000 [21:21:25<3:30:17, 1.30s/step] Training: 86%|████████▌ | 60261/70000 [21:21:27<3:29:51, 1.29s/step] Training: 86%|████████▌ | 60262/70000 [21:21:28<3:32:08, 1.31s/step] Training: 86%|████████▌ | 60263/70000 [21:21:29<3:27:59, 1.28s/step] Training: 86%|████████▌ | 60264/70000 [21:21:30<3:23:28, 1.25s/step] Training: 86%|████████▌ | 60265/70000 [21:21:32<3:27:23, 1.28s/step] Training: 86%|████████▌ | 60266/70000 [21:21:33<3:31:09, 1.30s/step] Training: 86%|████████▌ | 60267/70000 [21:21:34<3:26:51, 1.28s/step] Training: 86%|████████▌ | 60268/70000 [21:21:36<3:29:45, 1.29s/step] Training: 86%|████████▌ | 60269/70000 [21:21:37<3:32:40, 1.31s/step] Training: 86%|████████▌ | 60270/70000 [21:21:38<3:35:02, 1.33s/step] Training: 86%|████████▌ | 60271/70000 [21:21:40<3:31:08, 1.30s/step] Training: 86%|████████▌ | 60272/70000 [21:21:41<3:26:09, 1.27s/step] Training: 86%|████████▌ | 60273/70000 [21:21:42<3:23:43, 1.26s/step] Training: 86%|████████▌ | 60274/70000 [21:21:43<3:30:06, 1.30s/step] Training: 86%|████████▌ | 60275/70000 [21:21:45<3:25:36, 1.27s/step] Training: 86%|████████▌ | 60276/70000 [21:21:46<3:29:01, 1.29s/step] Training: 86%|████████▌ | 60277/70000 [21:21:47<3:25:42, 1.27s/step] Training: 86%|████████▌ | 60278/70000 [21:21:48<3:25:09, 1.27s/step] Training: 86%|████████▌ | 60279/70000 [21:21:50<3:28:13, 1.29s/step] Training: 86%|████████▌ | 60280/70000 [21:21:51<3:23:54, 1.26s/step] Training: 86%|████████▌ | 60281/70000 [21:21:52<3:21:33, 1.24s/step] Training: 86%|████████▌ | 60282/70000 [21:21:54<3:26:14, 1.27s/step] Training: 86%|████████▌ | 60283/70000 [21:21:55<3:22:21, 1.25s/step] Training: 86%|████████▌ | 60284/70000 [21:21:56<3:26:01, 1.27s/step] Training: 86%|████████▌ | 60285/70000 [21:21:57<3:30:07, 1.30s/step] Training: 86%|████████▌ | 60286/70000 [21:21:59<3:25:20, 1.27s/step] Training: 86%|████████▌ | 60287/70000 [21:22:00<3:28:24, 1.29s/step] Training: 86%|████████▌ | 60288/70000 [21:22:01<3:23:42, 1.26s/step] Training: 86%|████████▌ | 60289/70000 [21:22:02<3:27:25, 1.28s/step] Training: 86%|████████▌ | 60290/70000 [21:22:04<3:30:03, 1.30s/step] Training: 86%|████████▌ | 60291/70000 [21:22:05<3:24:40, 1.26s/step] Training: 86%|████████▌ | 60292/70000 [21:22:06<3:29:09, 1.29s/step] Training: 86%|████████▌ | 60293/70000 [21:22:08<3:23:56, 1.26s/step] Training: 86%|████████▌ | 60294/70000 [21:22:09<3:33:01, 1.32s/step] Training: 86%|████████▌ | 60295/70000 [21:22:10<3:28:29, 1.29s/step] Training: 86%|████████▌ | 60296/70000 [21:22:11<3:23:31, 1.26s/step] Training: 86%|████████▌ | 60297/70000 [21:22:13<3:27:00, 1.28s/step] Training: 86%|████████▌ | 60298/70000 [21:22:14<3:29:36, 1.30s/step] Training: 86%|████████▌ | 60299/70000 [21:22:15<3:24:28, 1.26s/step] Training: 86%|████████▌ | 60300/70000 [21:22:17<3:27:11, 1.28s/step]INFO 2026-03-13 17:32:09 ot_train.py:435 step:60K smpl:4M ep:13K epch:51.11 loss:0.008 grdn:0.550 lr:2.1e-06 updt_s:1.256 data_s:0.019 Training: 86%|████████▌ | 60301/70000 [21:22:18<3:22:34, 1.25s/step] Training: 86%|████████▌ | 60302/70000 [21:22:19<3:32:50, 1.32s/step] Training: 86%|████████▌ | 60303/70000 [21:22:20<3:28:03, 1.29s/step] Training: 86%|████████▌ | 60304/70000 [21:22:22<3:23:51, 1.26s/step] Training: 86%|████████▌ | 60305/70000 [21:22:23<3:22:11, 1.25s/step] Training: 86%|████████▌ | 60306/70000 [21:22:24<3:27:55, 1.29s/step] Training: 86%|████████▌ | 60307/70000 [21:22:25<3:23:55, 1.26s/step] Training: 86%|████████▌ | 60308/70000 [21:22:27<3:27:17, 1.28s/step] Training: 86%|████████▌ | 60309/70000 [21:22:28<3:22:45, 1.26s/step] Training: 86%|████████▌ | 60310/70000 [21:22:29<3:21:43, 1.25s/step] Training: 86%|████████▌ | 60311/70000 [21:22:30<3:18:54, 1.23s/step] Training: 86%|████████▌ | 60312/70000 [21:22:32<3:23:00, 1.26s/step] Training: 86%|████████▌ | 60313/70000 [21:22:33<3:20:24, 1.24s/step] Training: 86%|████████▌ | 60314/70000 [21:22:34<3:24:46, 1.27s/step] Training: 86%|████████▌ | 60315/70000 [21:22:35<3:20:59, 1.25s/step] Training: 86%|████████▌ | 60316/70000 [21:22:37<3:19:01, 1.23s/step] Training: 86%|████████▌ | 60317/70000 [21:22:38<3:16:53, 1.22s/step] Training: 86%|████████▌ | 60318/70000 [21:22:39<3:19:11, 1.23s/step] Training: 86%|████████▌ | 60319/70000 [21:22:40<3:16:38, 1.22s/step] Training: 86%|████████▌ | 60320/70000 [21:22:41<3:17:37, 1.22s/step] Training: 86%|████████▌ | 60321/70000 [21:22:43<3:22:17, 1.25s/step] Training: 86%|████████▌ | 60322/70000 [21:22:44<3:25:31, 1.27s/step] Training: 86%|████████▌ | 60323/70000 [21:22:45<3:21:24, 1.25s/step] Training: 86%|████████▌ | 60324/70000 [21:22:47<3:26:34, 1.28s/step] Training: 86%|████████▌ | 60325/70000 [21:22:48<3:22:08, 1.25s/step] Training: 86%|████████▌ | 60326/70000 [21:22:49<3:25:41, 1.28s/step] Training: 86%|████████▌ | 60327/70000 [21:22:51<3:28:56, 1.30s/step] Training: 86%|████████▌ | 60328/70000 [21:22:52<3:24:43, 1.27s/step] Training: 86%|████████▌ | 60329/70000 [21:22:53<3:27:36, 1.29s/step] Training: 86%|████████▌ | 60330/70000 [21:22:54<3:29:54, 1.30s/step] Training: 86%|████████▌ | 60331/70000 [21:22:56<3:24:27, 1.27s/step] Training: 86%|████████▌ | 60332/70000 [21:22:57<3:27:38, 1.29s/step] Training: 86%|████████▌ | 60333/70000 [21:22:58<3:22:50, 1.26s/step] Training: 86%|████████▌ | 60334/70000 [21:22:59<3:26:15, 1.28s/step] Training: 86%|████████▌ | 60335/70000 [21:23:01<3:27:09, 1.29s/step] Training: 86%|████████▌ | 60336/70000 [21:23:02<3:29:43, 1.30s/step] Training: 86%|████████▌ | 60337/70000 [21:23:03<3:26:16, 1.28s/step] Training: 86%|████████▌ | 60338/70000 [21:23:05<3:31:25, 1.31s/step] Training: 86%|████████▌ | 60339/70000 [21:23:06<3:25:57, 1.28s/step] Training: 86%|████████▌ | 60340/70000 [21:23:07<3:28:16, 1.29s/step] Training: 86%|████████▌ | 60341/70000 [21:23:08<3:23:44, 1.27s/step] Training: 86%|████████▌ | 60342/70000 [21:23:10<3:22:22, 1.26s/step] Training: 86%|████████▌ | 60343/70000 [21:23:11<3:18:56, 1.24s/step] Training: 86%|████████▌ | 60344/70000 [21:23:12<3:29:44, 1.30s/step] Training: 86%|████████▌ | 60345/70000 [21:23:14<3:25:07, 1.27s/step] Training: 86%|████████▌ | 60346/70000 [21:23:15<3:27:54, 1.29s/step] Training: 86%|████████▌ | 60347/70000 [21:23:16<3:22:54, 1.26s/step] Training: 86%|████████▌ | 60348/70000 [21:23:17<3:26:16, 1.28s/step] Training: 86%|████████▌ | 60349/70000 [21:23:19<3:21:42, 1.25s/step] Training: 86%|████████▌ | 60350/70000 [21:23:20<3:20:31, 1.25s/step] Training: 86%|████████▌ | 60351/70000 [21:23:21<3:25:56, 1.28s/step] Training: 86%|████████▌ | 60352/70000 [21:23:22<3:27:40, 1.29s/step] Training: 86%|████████▌ | 60353/70000 [21:23:24<3:29:36, 1.30s/step] Training: 86%|████████▌ | 60354/70000 [21:23:25<3:30:23, 1.31s/step] Training: 86%|████████▌ | 60355/70000 [21:23:26<3:24:42, 1.27s/step] Training: 86%|████████▌ | 60356/70000 [21:23:28<3:29:09, 1.30s/step] Training: 86%|████████▌ | 60357/70000 [21:23:29<3:23:55, 1.27s/step] Training: 86%|████████▌ | 60358/70000 [21:23:30<3:19:52, 1.24s/step] Training: 86%|████████▌ | 60359/70000 [21:23:31<3:23:22, 1.27s/step] Training: 86%|████████▌ | 60360/70000 [21:23:33<3:27:21, 1.29s/step] Training: 86%|████████▌ | 60361/70000 [21:23:34<3:28:56, 1.30s/step] Training: 86%|████████▌ | 60362/70000 [21:23:35<3:30:39, 1.31s/step] Training: 86%|████████▌ | 60363/70000 [21:23:37<3:24:40, 1.27s/step] Training: 86%|████████▌ | 60364/70000 [21:23:38<3:27:35, 1.29s/step] Training: 86%|████████▌ | 60365/70000 [21:23:39<3:22:43, 1.26s/step] Training: 86%|████████▌ | 60366/70000 [21:23:40<3:19:30, 1.24s/step] Training: 86%|████████▌ | 60367/70000 [21:23:42<3:17:46, 1.23s/step] Training: 86%|████████▌ | 60368/70000 [21:23:43<3:27:22, 1.29s/step] Training: 86%|████████▌ | 60369/70000 [21:23:44<3:24:28, 1.27s/step] Training: 86%|████████▌ | 60370/70000 [21:23:46<3:29:21, 1.30s/step] Training: 86%|████████▌ | 60371/70000 [21:23:47<3:24:02, 1.27s/step] Training: 86%|████████▌ | 60372/70000 [21:23:48<3:27:34, 1.29s/step] Training: 86%|████████▌ | 60373/70000 [21:23:49<3:22:41, 1.26s/step] Training: 86%|████████▌ | 60374/70000 [21:23:51<3:21:03, 1.25s/step] Training: 86%|████████▋ | 60375/70000 [21:23:52<3:18:02, 1.23s/step] Training: 86%|████████▋ | 60376/70000 [21:23:53<3:22:52, 1.26s/step] Training: 86%|████████▋ | 60377/70000 [21:23:54<3:21:33, 1.26s/step] Training: 86%|████████▋ | 60378/70000 [21:23:56<3:24:50, 1.28s/step] Training: 86%|████████▋ | 60379/70000 [21:23:57<3:20:42, 1.25s/step] Training: 86%|████████▋ | 60380/70000 [21:23:58<3:24:50, 1.28s/step] Training: 86%|████████▋ | 60381/70000 [21:23:59<3:20:47, 1.25s/step] Training: 86%|████████▋ | 60382/70000 [21:24:01<3:18:26, 1.24s/step] Training: 86%|████████▋ | 60383/70000 [21:24:02<3:16:16, 1.22s/step] Training: 86%|████████▋ | 60384/70000 [21:24:03<3:23:39, 1.27s/step] Training: 86%|████████▋ | 60385/70000 [21:24:04<3:19:43, 1.25s/step] Training: 86%|████████▋ | 60386/70000 [21:24:06<3:29:26, 1.31s/step] Training: 86%|████████▋ | 60387/70000 [21:24:07<3:23:46, 1.27s/step] Training: 86%|████████▋ | 60388/70000 [21:24:08<3:27:25, 1.29s/step] Training: 86%|████████▋ | 60389/70000 [21:24:09<3:22:51, 1.27s/step] Training: 86%|████████▋ | 60390/70000 [21:24:11<3:25:10, 1.28s/step] Training: 86%|████████▋ | 60391/70000 [21:24:12<3:20:53, 1.25s/step] Training: 86%|████████▋ | 60392/70000 [21:24:13<3:20:18, 1.25s/step] Training: 86%|████████▋ | 60393/70000 [21:24:14<3:16:58, 1.23s/step] Training: 86%|████████▋ | 60394/70000 [21:24:16<3:29:15, 1.31s/step] Training: 86%|████████▋ | 60395/70000 [21:24:17<3:23:52, 1.27s/step] Training: 86%|████████▋ | 60396/70000 [21:24:18<3:26:16, 1.29s/step] Training: 86%|████████▋ | 60397/70000 [21:24:20<3:21:34, 1.26s/step] Training: 86%|████████▋ | 60398/70000 [21:24:21<3:26:43, 1.29s/step] Training: 86%|████████▋ | 60399/70000 [21:24:22<3:22:28, 1.27s/step] Training: 86%|████████▋ | 60400/70000 [21:24:24<3:26:45, 1.29s/step]INFO 2026-03-13 17:34:16 ot_train.py:435 step:60K smpl:4M ep:13K epch:51.20 loss:0.007 grdn:0.600 lr:2.1e-06 updt_s:1.249 data_s:0.019 Training: 86%|████████▋ | 60401/70000 [21:24:25<3:30:45, 1.32s/step] Training: 86%|████████▋ | 60402/70000 [21:24:26<3:35:06, 1.34s/step] Training: 86%|████████▋ | 60403/70000 [21:24:28<3:27:48, 1.30s/step] Training: 86%|████████▋ | 60404/70000 [21:24:29<3:28:59, 1.31s/step] Training: 86%|████████▋ | 60405/70000 [21:24:30<3:23:44, 1.27s/step] Training: 86%|████████▋ | 60406/70000 [21:24:31<3:21:39, 1.26s/step] Training: 86%|████████▋ | 60407/70000 [21:24:32<3:18:02, 1.24s/step] Training: 86%|████████▋ | 60408/70000 [21:24:34<3:22:30, 1.27s/step] Training: 86%|████████▋ | 60409/70000 [21:24:35<3:23:42, 1.27s/step] Training: 86%|████████▋ | 60410/70000 [21:24:36<3:25:49, 1.29s/step] Training: 86%|████████▋ | 60411/70000 [21:24:38<3:20:59, 1.26s/step] Training: 86%|████████▋ | 60412/70000 [21:24:39<3:24:26, 1.28s/step] Training: 86%|████████▋ | 60413/70000 [21:24:40<3:20:15, 1.25s/step] Training: 86%|████████▋ | 60414/70000 [21:24:41<3:18:55, 1.25s/step] Training: 86%|████████▋ | 60415/70000 [21:24:43<3:16:23, 1.23s/step] Training: 86%|████████▋ | 60416/70000 [21:24:44<3:20:55, 1.26s/step] Training: 86%|████████▋ | 60417/70000 [21:24:45<3:24:59, 1.28s/step] Training: 86%|████████▋ | 60418/70000 [21:24:47<3:27:00, 1.30s/step] Training: 86%|████████▋ | 60419/70000 [21:24:48<3:21:45, 1.26s/step] Training: 86%|████████▋ | 60420/70000 [21:24:49<3:25:24, 1.29s/step] Training: 86%|████████▋ | 60421/70000 [21:24:50<3:20:45, 1.26s/step] Training: 86%|████████▋ | 60422/70000 [21:24:52<3:24:26, 1.28s/step] Training: 86%|████████▋ | 60423/70000 [21:24:53<3:20:04, 1.25s/step] Training: 86%|████████▋ | 60424/70000 [21:24:54<3:17:43, 1.24s/step] Training: 86%|████████▋ | 60425/70000 [21:24:55<3:23:21, 1.27s/step] Training: 86%|████████▋ | 60426/70000 [21:24:57<3:27:52, 1.30s/step] Training: 86%|████████▋ | 60427/70000 [21:24:58<3:22:28, 1.27s/step] Training: 86%|████████▋ | 60428/70000 [21:24:59<3:25:20, 1.29s/step] Training: 86%|████████▋ | 60429/70000 [21:25:00<3:21:10, 1.26s/step] Training: 86%|████████▋ | 60430/70000 [21:25:02<3:25:48, 1.29s/step] Training: 86%|████████▋ | 60431/70000 [21:25:03<3:21:35, 1.26s/step] Training: 86%|████████▋ | 60432/70000 [21:25:04<3:26:17, 1.29s/step] Training: 86%|████████▋ | 60433/70000 [21:25:06<3:22:32, 1.27s/step] Training: 86%|████████▋ | 60434/70000 [21:25:07<3:30:36, 1.32s/step] Training: 86%|████████▋ | 60435/70000 [21:25:08<3:24:31, 1.28s/step] Training: 86%|████████▋ | 60436/70000 [21:25:09<3:22:39, 1.27s/step] Training: 86%|████████▋ | 60437/70000 [21:25:11<3:18:54, 1.25s/step] Training: 86%|████████▋ | 60438/70000 [21:25:12<3:19:08, 1.25s/step] Training: 86%|████████▋ | 60439/70000 [21:25:13<3:15:56, 1.23s/step] Training: 86%|████████▋ | 60440/70000 [21:25:14<3:20:19, 1.26s/step] Training: 86%|████████▋ | 60441/70000 [21:25:16<3:17:01, 1.24s/step] Training: 86%|████████▋ | 60442/70000 [21:25:17<3:25:38, 1.29s/step] Training: 86%|████████▋ | 60443/70000 [21:25:18<3:20:48, 1.26s/step] Training: 86%|████████▋ | 60444/70000 [21:25:20<3:23:56, 1.28s/step] Training: 86%|████████▋ | 60445/70000 [21:25:21<3:19:33, 1.25s/step] Training: 86%|████████▋ | 60446/70000 [21:25:22<3:17:25, 1.24s/step] Training: 86%|████████▋ | 60447/70000 [21:25:23<3:15:07, 1.23s/step] Training: 86%|████████▋ | 60448/70000 [21:25:24<3:19:58, 1.26s/step] Training: 86%|████████▋ | 60449/70000 [21:25:26<3:16:43, 1.24s/step] Training: 86%|████████▋ | 60450/70000 [21:25:27<3:26:17, 1.30s/step] Training: 86%|████████▋ | 60451/70000 [21:25:28<3:21:16, 1.26s/step] Training: 86%|████████▋ | 60452/70000 [21:25:30<3:24:50, 1.29s/step] Training: 86%|████████▋ | 60453/70000 [21:25:31<3:20:17, 1.26s/step] Training: 86%|████████▋ | 60454/70000 [21:25:32<3:23:47, 1.28s/step] Training: 86%|████████▋ | 60455/70000 [21:25:33<3:19:37, 1.25s/step] Training: 86%|████████▋ | 60456/70000 [21:25:35<3:17:15, 1.24s/step] Training: 86%|████████▋ | 60457/70000 [21:25:36<3:14:49, 1.22s/step] Training: 86%|████████▋ | 60458/70000 [21:25:37<3:23:21, 1.28s/step] Training: 86%|████████▋ | 60459/70000 [21:25:38<3:18:36, 1.25s/step] Training: 86%|████████▋ | 60460/70000 [21:25:40<3:22:10, 1.27s/step] Training: 86%|████████▋ | 60461/70000 [21:25:41<3:19:06, 1.25s/step] Training: 86%|████████▋ | 60462/70000 [21:25:42<3:23:38, 1.28s/step] Training: 86%|████████▋ | 60463/70000 [21:25:43<3:19:39, 1.26s/step] Training: 86%|████████▋ | 60464/70000 [21:25:45<3:24:36, 1.29s/step] Training: 86%|████████▋ | 60465/70000 [21:25:46<3:20:23, 1.26s/step] Training: 86%|████████▋ | 60466/70000 [21:25:47<3:26:13, 1.30s/step] Training: 86%|████████▋ | 60467/70000 [21:25:49<3:21:12, 1.27s/step] Training: 86%|████████▋ | 60468/70000 [21:25:50<3:20:18, 1.26s/step] Training: 86%|████████▋ | 60469/70000 [21:25:51<3:16:54, 1.24s/step] Training: 86%|████████▋ | 60470/70000 [21:25:52<3:16:42, 1.24s/step] Training: 86%|████████▋ | 60471/70000 [21:25:53<3:14:15, 1.22s/step] Training: 86%|████████▋ | 60472/70000 [21:25:55<3:18:48, 1.25s/step] Training: 86%|████████▋ | 60473/70000 [21:25:56<3:15:52, 1.23s/step] Training: 86%|████████▋ | 60474/70000 [21:25:57<3:20:15, 1.26s/step] Training: 86%|████████▋ | 60475/70000 [21:25:59<3:23:35, 1.28s/step] Training: 86%|████████▋ | 60476/70000 [21:26:00<3:25:13, 1.29s/step] Training: 86%|████████▋ | 60477/70000 [21:26:01<3:20:31, 1.26s/step] Training: 86%|████████▋ | 60478/70000 [21:26:02<3:18:41, 1.25s/step] Training: 86%|████████▋ | 60479/70000 [21:26:03<3:15:49, 1.23s/step] Training: 86%|████████▋ | 60480/70000 [21:26:05<3:19:57, 1.26s/step] Training: 86%|████████▋ | 60481/70000 [21:26:06<3:16:41, 1.24s/step] Training: 86%|████████▋ | 60482/70000 [21:26:07<3:20:53, 1.27s/step] Training: 86%|████████▋ | 60483/70000 [21:26:09<3:23:07, 1.28s/step] Training: 86%|████████▋ | 60484/70000 [21:26:10<3:24:58, 1.29s/step] Training: 86%|████████▋ | 60485/70000 [21:26:11<3:20:10, 1.26s/step] Training: 86%|████████▋ | 60486/70000 [21:26:12<3:16:50, 1.24s/step] Training: 86%|████████▋ | 60487/70000 [21:26:14<3:20:20, 1.26s/step] Training: 86%|████████▋ | 60488/70000 [21:26:15<3:17:37, 1.25s/step] Training: 86%|████████▋ | 60489/70000 [21:26:16<3:14:57, 1.23s/step] Training: 86%|████████▋ | 60490/70000 [21:26:17<3:22:00, 1.27s/step] Training: 86%|████████▋ | 60491/70000 [21:26:19<3:26:00, 1.30s/step] Training: 86%|████████▋ | 60492/70000 [21:26:20<3:26:49, 1.31s/step] Training: 86%|████████▋ | 60493/70000 [21:26:21<3:21:25, 1.27s/step] Training: 86%|████████▋ | 60494/70000 [21:26:22<3:17:35, 1.25s/step] Training: 86%|████████▋ | 60495/70000 [21:26:24<3:14:45, 1.23s/step] Training: 86%|████████▋ | 60496/70000 [21:26:25<3:19:24, 1.26s/step] Training: 86%|████████▋ | 60497/70000 [21:26:26<3:16:09, 1.24s/step] Training: 86%|████████▋ | 60498/70000 [21:26:28<3:22:03, 1.28s/step] Training: 86%|████████▋ | 60499/70000 [21:26:29<3:17:53, 1.25s/step] Training: 86%|████████▋ | 60500/70000 [21:26:30<3:22:04, 1.28s/step]INFO 2026-03-13 17:36:22 ot_train.py:435 step:60K smpl:4M ep:13K epch:51.28 loss:0.007 grdn:0.787 lr:2.1e-06 updt_s:1.245 data_s:0.018 Training: 86%|████████▋ | 60501/70000 [21:26:31<3:21:22, 1.27s/step] Training: 86%|████████▋ | 60502/70000 [21:26:33<3:19:28, 1.26s/step] Training: 86%|████████▋ | 60503/70000 [21:26:34<3:15:51, 1.24s/step] Training: 86%|████████▋ | 60504/70000 [21:26:35<3:19:38, 1.26s/step] Training: 86%|████████▋ | 60505/70000 [21:26:36<3:16:13, 1.24s/step] Training: 86%|████████▋ | 60506/70000 [21:26:38<3:22:35, 1.28s/step] Training: 86%|████████▋ | 60507/70000 [21:26:39<3:18:14, 1.25s/step] Training: 86%|████████▋ | 60508/70000 [21:26:40<3:28:06, 1.32s/step] Training: 86%|████████▋ | 60509/70000 [21:26:41<3:22:00, 1.28s/step] Training: 86%|████████▋ | 60510/70000 [21:26:43<3:19:25, 1.26s/step] Training: 86%|████████▋ | 60511/70000 [21:26:44<3:16:30, 1.24s/step] Training: 86%|████████▋ | 60512/70000 [21:26:45<3:20:29, 1.27s/step] Training: 86%|████████▋ | 60513/70000 [21:26:46<3:16:52, 1.25s/step] Training: 86%|████████▋ | 60514/70000 [21:26:48<3:20:55, 1.27s/step] Training: 86%|████████▋ | 60515/70000 [21:26:49<3:16:57, 1.25s/step] Training: 86%|████████▋ | 60516/70000 [21:26:50<3:20:46, 1.27s/step] Training: 86%|████████▋ | 60517/70000 [21:26:51<3:16:55, 1.25s/step] Training: 86%|████████▋ | 60518/70000 [21:26:53<3:21:03, 1.27s/step] Training: 86%|████████▋ | 60519/70000 [21:26:54<3:17:08, 1.25s/step] Training: 86%|████████▋ | 60520/70000 [21:26:55<3:15:05, 1.23s/step] Training: 86%|████████▋ | 60521/70000 [21:26:56<3:12:50, 1.22s/step] Training: 86%|████████▋ | 60522/70000 [21:26:58<3:21:09, 1.27s/step] Training: 86%|████████▋ | 60523/70000 [21:26:59<3:17:16, 1.25s/step] Training: 86%|████████▋ | 60524/70000 [21:27:00<3:22:08, 1.28s/step] Training: 86%|████████▋ | 60525/70000 [21:27:01<3:17:51, 1.25s/step] Training: 86%|████████▋ | 60526/70000 [21:27:03<3:21:18, 1.27s/step] Training: 86%|████████▋ | 60527/70000 [21:27:04<3:17:11, 1.25s/step] Training: 86%|████████▋ | 60528/70000 [21:27:05<3:21:00, 1.27s/step] Training: 86%|████████▋ | 60529/70000 [21:27:07<3:16:57, 1.25s/step] Training: 86%|████████▋ | 60530/70000 [21:27:08<3:17:15, 1.25s/step] Training: 86%|████████▋ | 60531/70000 [21:27:09<3:20:44, 1.27s/step] Training: 86%|████████▋ | 60532/70000 [21:27:10<3:21:51, 1.28s/step] Training: 86%|████████▋ | 60533/70000 [21:27:12<3:21:00, 1.27s/step] Training: 86%|████████▋ | 60534/70000 [21:27:13<3:19:05, 1.26s/step] Training: 86%|████████▋ | 60535/70000 [21:27:14<3:15:37, 1.24s/step] Training: 86%|████████▋ | 60536/70000 [21:27:15<3:19:22, 1.26s/step] Training: 86%|████████▋ | 60537/70000 [21:27:17<3:15:56, 1.24s/step] Training: 86%|████████▋ | 60538/70000 [21:27:18<3:20:13, 1.27s/step] Training: 86%|████████▋ | 60539/70000 [21:27:19<3:22:19, 1.28s/step] Training: 86%|████████▋ | 60540/70000 [21:27:21<3:24:31, 1.30s/step] Training: 86%|████████▋ | 60541/70000 [21:27:22<3:26:41, 1.31s/step] Training: 86%|████████▋ | 60542/70000 [21:27:23<3:21:31, 1.28s/step] Training: 86%|████████▋ | 60543/70000 [21:27:24<3:17:35, 1.25s/step] Training: 86%|████████▋ | 60544/70000 [21:27:26<3:21:11, 1.28s/step] Training: 86%|████████▋ | 60545/70000 [21:27:27<3:16:58, 1.25s/step] Training: 86%|████████▋ | 60546/70000 [21:27:28<3:20:50, 1.27s/step] Training: 86%|████████▋ | 60547/70000 [21:27:29<3:16:43, 1.25s/step] Training: 86%|████████▋ | 60548/70000 [21:27:31<3:20:29, 1.27s/step] Training: 86%|████████▋ | 60549/70000 [21:27:32<3:20:11, 1.27s/step] Training: 86%|████████▋ | 60550/70000 [21:27:33<3:22:57, 1.29s/step] Training: 87%|████████▋ | 60551/70000 [21:27:34<3:18:31, 1.26s/step] Training: 87%|████████▋ | 60552/70000 [21:27:36<3:15:52, 1.24s/step] Training: 87%|████████▋ | 60553/70000 [21:27:37<3:13:23, 1.23s/step] Training: 87%|████████▋ | 60554/70000 [21:27:38<3:20:07, 1.27s/step] Training: 87%|████████▋ | 60555/70000 [21:27:40<3:22:25, 1.29s/step] Training: 87%|████████▋ | 60556/70000 [21:27:41<3:24:19, 1.30s/step] Training: 87%|████████▋ | 60557/70000 [21:27:42<3:19:08, 1.27s/step] Training: 87%|████████▋ | 60558/70000 [21:27:44<3:28:07, 1.32s/step] Training: 87%|████████▋ | 60559/70000 [21:27:45<3:22:08, 1.28s/step] Training: 87%|████████▋ | 60560/70000 [21:27:46<3:24:41, 1.30s/step] Training: 87%|████████▋ | 60561/70000 [21:27:47<3:19:24, 1.27s/step] Training: 87%|████████▋ | 60562/70000 [21:27:49<3:19:27, 1.27s/step] Training: 87%|████████▋ | 60563/70000 [21:27:50<3:22:49, 1.29s/step] Training: 87%|████████▋ | 60564/70000 [21:27:51<3:21:17, 1.28s/step] Training: 87%|████████▋ | 60565/70000 [21:27:52<3:24:53, 1.30s/step] Training: 87%|████████▋ | 60566/70000 [21:27:54<3:21:39, 1.28s/step] Training: 87%|████████▋ | 60567/70000 [21:27:55<3:17:12, 1.25s/step] Training: 87%|████████▋ | 60568/70000 [21:27:56<3:20:17, 1.27s/step] Training: 87%|████████▋ | 60569/70000 [21:27:57<3:16:12, 1.25s/step] Training: 87%|████████▋ | 60570/70000 [21:27:59<3:19:59, 1.27s/step] Training: 87%|████████▋ | 60571/70000 [21:28:00<3:17:16, 1.26s/step] Training: 87%|████████▋ | 60572/70000 [21:28:01<3:20:58, 1.28s/step] Training: 87%|████████▋ | 60573/70000 [21:28:02<3:16:39, 1.25s/step] Training: 87%|████████▋ | 60574/70000 [21:28:04<3:21:14, 1.28s/step] Training: 87%|████████▋ | 60575/70000 [21:28:05<3:16:27, 1.25s/step] Training: 87%|████████▋ | 60576/70000 [21:28:06<3:20:19, 1.28s/step] Training: 87%|████████▋ | 60577/70000 [21:28:08<3:16:12, 1.25s/step] Training: 87%|████████▋ | 60578/70000 [21:28:09<3:20:01, 1.27s/step] Training: 87%|████████▋ | 60579/70000 [21:28:10<3:22:34, 1.29s/step] Training: 87%|████████▋ | 60580/70000 [21:28:12<3:24:29, 1.30s/step] Training: 87%|████████▋ | 60581/70000 [21:28:13<3:19:07, 1.27s/step] Training: 87%|████████▋ | 60582/70000 [21:28:14<3:26:51, 1.32s/step] Training: 87%|████████▋ | 60583/70000 [21:28:15<3:20:51, 1.28s/step] Training: 87%|████████▋ | 60584/70000 [21:28:17<3:17:25, 1.26s/step] Training: 87%|████████▋ | 60585/70000 [21:28:18<3:14:09, 1.24s/step] Training: 87%|████████▋ | 60586/70000 [21:28:19<3:20:46, 1.28s/step] Training: 87%|████████▋ | 60587/70000 [21:28:20<3:23:14, 1.30s/step] Training: 87%|████████▋ | 60588/70000 [21:28:22<3:24:42, 1.30s/step] Training: 87%|████████▋ | 60589/70000 [21:28:23<3:19:07, 1.27s/step] Training: 87%|████████▋ | 60590/70000 [21:28:24<3:21:41, 1.29s/step] Training: 87%|████████▋ | 60591/70000 [21:28:25<3:17:05, 1.26s/step] Training: 87%|████████▋ | 60592/70000 [21:28:27<3:20:29, 1.28s/step] Training: 87%|████████▋ | 60593/70000 [21:28:28<3:16:17, 1.25s/step] Training: 87%|████████▋ | 60594/70000 [21:28:29<3:15:26, 1.25s/step] Training: 87%|████████▋ | 60595/70000 [21:28:31<3:18:52, 1.27s/step] Training: 87%|████████▋ | 60596/70000 [21:28:32<3:16:25, 1.25s/step] Training: 87%|████████▋ | 60597/70000 [21:28:33<3:13:16, 1.23s/step] Training: 87%|████████▋ | 60598/70000 [21:28:34<3:13:43, 1.24s/step] Training: 87%|████████▋ | 60599/70000 [21:28:35<3:11:25, 1.22s/step] Training: 87%|████████▋ | 60600/70000 [21:28:37<3:16:40, 1.26s/step]INFO 2026-03-13 17:38:29 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.36 loss:0.007 grdn:0.617 lr:2.1e-06 updt_s:1.245 data_s:0.019 Training: 87%|████████▋ | 60601/70000 [21:28:38<3:13:30, 1.24s/step] Training: 87%|████████▋ | 60602/70000 [21:28:39<3:17:47, 1.26s/step] Training: 87%|████████▋ | 60603/70000 [21:28:40<3:15:04, 1.25s/step] Training: 87%|████████▋ | 60604/70000 [21:28:42<3:18:57, 1.27s/step] Training: 87%|████████▋ | 60605/70000 [21:28:43<3:15:02, 1.25s/step] Training: 87%|████████▋ | 60606/70000 [21:28:44<3:14:52, 1.24s/step] Training: 87%|████████▋ | 60607/70000 [21:28:45<3:11:50, 1.23s/step] Training: 87%|████████▋ | 60608/70000 [21:28:47<3:16:32, 1.26s/step] Training: 87%|████████▋ | 60609/70000 [21:28:48<3:13:16, 1.23s/step] Training: 87%|████████▋ | 60610/70000 [21:28:49<3:17:42, 1.26s/step] Training: 87%|████████▋ | 60611/70000 [21:28:51<3:20:22, 1.28s/step] Training: 87%|████████▋ | 60612/70000 [21:28:52<3:22:55, 1.30s/step] Training: 87%|████████▋ | 60613/70000 [21:28:53<3:18:08, 1.27s/step] Training: 87%|████████▋ | 60614/70000 [21:28:54<3:20:44, 1.28s/step] Training: 87%|████████▋ | 60615/70000 [21:28:56<3:23:35, 1.30s/step] Training: 87%|████████▋ | 60616/70000 [21:28:57<3:19:08, 1.27s/step] Training: 87%|████████▋ | 60617/70000 [21:28:58<3:15:16, 1.25s/step] Training: 87%|████████▋ | 60618/70000 [21:28:59<3:14:32, 1.24s/step] Training: 87%|████████▋ | 60619/70000 [21:29:01<3:19:06, 1.27s/step] Training: 87%|████████▋ | 60620/70000 [21:29:02<3:22:06, 1.29s/step] Training: 87%|████████▋ | 60621/70000 [21:29:03<3:17:10, 1.26s/step] Training: 87%|████████▋ | 60622/70000 [21:29:05<3:20:10, 1.28s/step] Training: 87%|████████▋ | 60623/70000 [21:29:06<3:20:08, 1.28s/step] Training: 87%|████████▋ | 60624/70000 [21:29:07<3:22:25, 1.30s/step] Training: 87%|████████▋ | 60625/70000 [21:29:08<3:17:46, 1.27s/step] Training: 87%|████████▋ | 60626/70000 [21:29:10<3:16:25, 1.26s/step] Training: 87%|████████▋ | 60627/70000 [21:29:11<3:19:46, 1.28s/step] Training: 87%|████████▋ | 60628/70000 [21:29:12<3:17:14, 1.26s/step] Training: 87%|████████▋ | 60629/70000 [21:29:13<3:13:49, 1.24s/step] Training: 87%|████████▋ | 60630/70000 [21:29:15<3:13:16, 1.24s/step] Training: 87%|████████▋ | 60631/70000 [21:29:16<3:18:28, 1.27s/step] Training: 87%|████████▋ | 60632/70000 [21:29:17<3:20:49, 1.29s/step] Training: 87%|████████▋ | 60633/70000 [21:29:18<3:16:18, 1.26s/step] Training: 87%|████████▋ | 60634/70000 [21:29:20<3:19:33, 1.28s/step] Training: 87%|████████▋ | 60635/70000 [21:29:21<3:16:14, 1.26s/step] Training: 87%|████████▋ | 60636/70000 [21:29:22<3:19:31, 1.28s/step] Training: 87%|████████▋ | 60637/70000 [21:29:23<3:15:16, 1.25s/step] Training: 87%|████████▋ | 60638/70000 [21:29:25<3:13:28, 1.24s/step] Training: 87%|████████▋ | 60639/70000 [21:29:26<3:19:30, 1.28s/step] Training: 87%|████████▋ | 60640/70000 [21:29:27<3:20:58, 1.29s/step] Training: 87%|████████▋ | 60641/70000 [21:29:29<3:16:25, 1.26s/step] Training: 87%|████████▋ | 60642/70000 [21:29:30<3:20:05, 1.28s/step] Training: 87%|████████▋ | 60643/70000 [21:29:31<3:22:12, 1.30s/step] Training: 87%|████████▋ | 60644/70000 [21:29:33<3:24:18, 1.31s/step] Training: 87%|████████▋ | 60645/70000 [21:29:34<3:18:43, 1.27s/step] Training: 87%|████████▋ | 60646/70000 [21:29:35<3:21:08, 1.29s/step] Training: 87%|████████▋ | 60647/70000 [21:29:36<3:16:34, 1.26s/step] Training: 87%|████████▋ | 60648/70000 [21:29:38<3:20:20, 1.29s/step] Training: 87%|████████▋ | 60649/70000 [21:29:39<3:15:39, 1.26s/step] Training: 87%|████████▋ | 60650/70000 [21:29:40<3:20:36, 1.29s/step] Training: 87%|████████▋ | 60651/70000 [21:29:42<3:22:38, 1.30s/step] Training: 87%|████████▋ | 60652/70000 [21:29:43<3:23:46, 1.31s/step] Training: 87%|████████▋ | 60653/70000 [21:29:44<3:18:13, 1.27s/step] Training: 87%|████████▋ | 60654/70000 [21:29:45<3:20:41, 1.29s/step] Training: 87%|████████▋ | 60655/70000 [21:29:47<3:16:12, 1.26s/step] Training: 87%|████████▋ | 60656/70000 [21:29:48<3:24:57, 1.32s/step] Training: 87%|████████▋ | 60657/70000 [21:29:49<3:18:56, 1.28s/step] Training: 87%|████████▋ | 60658/70000 [21:29:50<3:17:54, 1.27s/step] Training: 87%|████████▋ | 60659/70000 [21:29:52<3:20:31, 1.29s/step] Training: 87%|████████▋ | 60660/70000 [21:29:53<3:17:49, 1.27s/step] Training: 87%|████████▋ | 60661/70000 [21:29:54<3:14:09, 1.25s/step] Training: 87%|████████▋ | 60662/70000 [21:29:55<3:13:21, 1.24s/step] Training: 87%|████████▋ | 60663/70000 [21:29:57<3:10:49, 1.23s/step] Training: 87%|████████▋ | 60664/70000 [21:29:58<3:17:15, 1.27s/step] Training: 87%|████████▋ | 60665/70000 [21:29:59<3:13:32, 1.24s/step] Training: 87%|████████▋ | 60666/70000 [21:30:00<3:17:27, 1.27s/step] Training: 87%|████████▋ | 60667/70000 [21:30:02<3:14:35, 1.25s/step] Training: 87%|████████▋ | 60668/70000 [21:30:03<3:17:50, 1.27s/step] Training: 87%|████████▋ | 60669/70000 [21:30:04<3:14:01, 1.25s/step] Training: 87%|████████▋ | 60670/70000 [21:30:05<3:12:52, 1.24s/step] Training: 87%|████████▋ | 60671/70000 [21:30:07<3:10:36, 1.23s/step] Training: 87%|████████▋ | 60672/70000 [21:30:08<3:15:27, 1.26s/step] Training: 87%|████████▋ | 60673/70000 [21:30:09<3:12:18, 1.24s/step] Training: 87%|████████▋ | 60674/70000 [21:30:10<3:17:06, 1.27s/step] Training: 87%|████████▋ | 60675/70000 [21:30:12<3:21:00, 1.29s/step] Training: 87%|████████▋ | 60676/70000 [21:30:13<3:22:35, 1.30s/step] Training: 87%|████████▋ | 60677/70000 [21:30:14<3:17:14, 1.27s/step] Training: 87%|████████▋ | 60678/70000 [21:30:16<3:20:27, 1.29s/step] Training: 87%|████████▋ | 60679/70000 [21:30:17<3:15:53, 1.26s/step] Training: 87%|████████▋ | 60680/70000 [21:30:18<3:13:32, 1.25s/step] Training: 87%|████████▋ | 60681/70000 [21:30:19<3:18:17, 1.28s/step] Training: 87%|████████▋ | 60682/70000 [21:30:21<3:22:39, 1.30s/step] Training: 87%|████████▋ | 60683/70000 [21:30:22<3:23:43, 1.31s/step] Training: 87%|████████▋ | 60684/70000 [21:30:23<3:23:55, 1.31s/step] Training: 87%|████████▋ | 60685/70000 [21:30:25<3:18:02, 1.28s/step] Training: 87%|████████▋ | 60686/70000 [21:30:26<3:20:42, 1.29s/step] Training: 87%|████████▋ | 60687/70000 [21:30:27<3:15:49, 1.26s/step] Training: 87%|████████▋ | 60688/70000 [21:30:28<3:18:32, 1.28s/step] Training: 87%|████████▋ | 60689/70000 [21:30:30<3:17:43, 1.27s/step] Training: 87%|████████▋ | 60690/70000 [21:30:31<3:16:39, 1.27s/step] Training: 87%|████████▋ | 60691/70000 [21:30:32<3:20:05, 1.29s/step] Training: 87%|████████▋ | 60692/70000 [21:30:34<3:17:56, 1.28s/step] Training: 87%|████████▋ | 60693/70000 [21:30:35<3:14:02, 1.25s/step] Training: 87%|████████▋ | 60694/70000 [21:30:36<3:13:07, 1.25s/step] Training: 87%|████████▋ | 60695/70000 [21:30:37<3:10:32, 1.23s/step] Training: 87%|████████▋ | 60696/70000 [21:30:39<3:14:36, 1.26s/step] Training: 87%|████████▋ | 60697/70000 [21:30:40<3:11:37, 1.24s/step] Training: 87%|████████▋ | 60698/70000 [21:30:41<3:20:22, 1.29s/step] Training: 87%|████████▋ | 60699/70000 [21:30:42<3:16:26, 1.27s/step] Training: 87%|████████▋ | 60700/70000 [21:30:44<3:19:16, 1.29s/step]INFO 2026-03-13 17:40:36 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.45 loss:0.008 grdn:0.659 lr:2.0e-06 updt_s:1.249 data_s:0.019 Training: 87%|████████▋ | 60701/70000 [21:30:45<3:14:54, 1.26s/step] Training: 87%|████████▋ | 60702/70000 [21:30:46<3:13:02, 1.25s/step] Training: 87%|████████▋ | 60703/70000 [21:30:47<3:10:36, 1.23s/step] Training: 87%|████████▋ | 60704/70000 [21:30:49<3:15:17, 1.26s/step] Training: 87%|████████▋ | 60705/70000 [21:30:50<3:20:00, 1.29s/step] Training: 87%|████████▋ | 60706/70000 [21:30:51<3:21:12, 1.30s/step] Training: 87%|████████▋ | 60707/70000 [21:30:53<3:28:23, 1.35s/step] Training: 87%|████████▋ | 60708/70000 [21:30:54<3:27:43, 1.34s/step] Training: 87%|████████▋ | 60709/70000 [21:30:55<3:20:52, 1.30s/step] Training: 87%|████████▋ | 60710/70000 [21:30:57<3:22:40, 1.31s/step] Training: 87%|████████▋ | 60711/70000 [21:30:58<3:17:07, 1.27s/step] Training: 87%|████████▋ | 60712/70000 [21:30:59<3:14:23, 1.26s/step] Training: 87%|████████▋ | 60713/70000 [21:31:00<3:19:32, 1.29s/step] Training: 87%|████████▋ | 60714/70000 [21:31:02<3:20:42, 1.30s/step] Training: 87%|████████▋ | 60715/70000 [21:31:03<3:27:20, 1.34s/step] Training: 87%|████████▋ | 60716/70000 [21:31:04<3:26:45, 1.34s/step] Training: 87%|████████▋ | 60717/70000 [21:31:06<3:19:54, 1.29s/step] Training: 87%|████████▋ | 60718/70000 [21:31:07<3:21:32, 1.30s/step] Training: 87%|████████▋ | 60719/70000 [21:31:08<3:16:17, 1.27s/step] Training: 87%|████████▋ | 60720/70000 [21:31:09<3:19:07, 1.29s/step] Training: 87%|████████▋ | 60721/70000 [21:31:11<3:14:40, 1.26s/step] Training: 87%|████████▋ | 60722/70000 [21:31:12<3:18:16, 1.28s/step] Training: 87%|████████▋ | 60723/70000 [21:31:13<3:20:11, 1.29s/step] Training: 87%|████████▋ | 60724/70000 [21:31:15<3:18:13, 1.28s/step] Training: 87%|████████▋ | 60725/70000 [21:31:16<3:13:57, 1.25s/step] Training: 87%|████████▋ | 60726/70000 [21:31:17<3:13:18, 1.25s/step] Training: 87%|████████▋ | 60727/70000 [21:31:18<3:10:21, 1.23s/step] Training: 87%|████████▋ | 60728/70000 [21:31:20<3:14:51, 1.26s/step] Training: 87%|████████▋ | 60729/70000 [21:31:21<3:11:32, 1.24s/step] Training: 87%|████████▋ | 60730/70000 [21:31:22<3:16:32, 1.27s/step] Training: 87%|████████▋ | 60731/70000 [21:31:23<3:18:04, 1.28s/step] Training: 87%|████████▋ | 60732/70000 [21:31:25<3:20:12, 1.30s/step] Training: 87%|████████▋ | 60733/70000 [21:31:26<3:15:27, 1.27s/step] Training: 87%|████████▋ | 60734/70000 [21:31:27<3:12:49, 1.25s/step] Training: 87%|████████▋ | 60735/70000 [21:31:28<3:10:09, 1.23s/step] Training: 87%|████████▋ | 60736/70000 [21:31:30<3:14:21, 1.26s/step] Training: 87%|████████▋ | 60737/70000 [21:31:31<3:11:19, 1.24s/step] Training: 87%|████████▋ | 60738/70000 [21:31:32<3:17:18, 1.28s/step] Training: 87%|████████▋ | 60739/70000 [21:31:34<3:20:10, 1.30s/step] Training: 87%|████████▋ | 60740/70000 [21:31:35<3:21:28, 1.31s/step] Training: 87%|████████▋ | 60741/70000 [21:31:36<3:16:10, 1.27s/step] Training: 87%|████████▋ | 60742/70000 [21:31:37<3:19:02, 1.29s/step] Training: 87%|████████▋ | 60743/70000 [21:31:39<3:14:25, 1.26s/step] Training: 87%|████████▋ | 60744/70000 [21:31:40<3:11:48, 1.24s/step] Training: 87%|████████▋ | 60745/70000 [21:31:41<3:09:16, 1.23s/step] Training: 87%|████████▋ | 60746/70000 [21:31:42<3:13:43, 1.26s/step] Training: 87%|████████▋ | 60747/70000 [21:31:44<3:17:09, 1.28s/step] Training: 87%|████████▋ | 60748/70000 [21:31:45<3:19:47, 1.30s/step] Training: 87%|████████▋ | 60749/70000 [21:31:46<3:14:58, 1.26s/step] Training: 87%|████████▋ | 60750/70000 [21:31:47<3:17:42, 1.28s/step] Training: 87%|████████▋ | 60751/70000 [21:31:49<3:13:34, 1.26s/step] Training: 87%|████████▋ | 60752/70000 [21:31:50<3:16:34, 1.28s/step] Training: 87%|████████▋ | 60753/70000 [21:31:51<3:12:39, 1.25s/step] Training: 87%|████████▋ | 60754/70000 [21:31:52<3:11:24, 1.24s/step] Training: 87%|████████▋ | 60755/70000 [21:31:54<3:20:49, 1.30s/step] Training: 87%|████████▋ | 60756/70000 [21:31:55<3:18:42, 1.29s/step] Training: 87%|████████▋ | 60757/70000 [21:31:56<3:14:11, 1.26s/step] Training: 87%|████████▋ | 60758/70000 [21:31:58<3:11:27, 1.24s/step] Training: 87%|████████▋ | 60759/70000 [21:31:59<3:08:58, 1.23s/step] Training: 87%|████████▋ | 60760/70000 [21:32:00<3:13:13, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=58435 Training: 87%|████████▋ | 60761/70000 [21:32:01<3:10:12, 1.24s/step] Training: 87%|████████▋ | 60762/70000 [21:32:02<3:08:57, 1.23s/step] Training: 87%|████████▋ | 60763/70000 [21:32:04<3:16:31, 1.28s/step] Training: 87%|████████▋ | 60764/70000 [21:32:05<3:18:39, 1.29s/step] Training: 87%|████████▋ | 60765/70000 [21:32:06<3:13:55, 1.26s/step] Training: 87%|████████▋ | 60766/70000 [21:32:08<3:13:19, 1.26s/step] Training: 87%|████████▋ | 60767/70000 [21:32:09<3:10:14, 1.24s/step] Training: 87%|████████▋ | 60768/70000 [21:32:10<3:14:10, 1.26s/step] Training: 87%|████████▋ | 60769/70000 [21:32:11<3:10:42, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=32425 Training: 87%|████████▋ | 60770/70000 [21:32:12<3:08:21, 1.22s/step] Training: 87%|████████▋ | 60771/70000 [21:32:14<3:18:26, 1.29s/step] Training: 87%|████████▋ | 60772/70000 [21:32:15<3:25:44, 1.34s/step] Training: 87%|████████▋ | 60773/70000 [21:32:17<3:18:53, 1.29s/step] Training: 87%|████████▋ | 60774/70000 [21:32:18<3:13:53, 1.26s/step] Training: 87%|████████▋ | 60775/70000 [21:32:19<3:16:36, 1.28s/step] Training: 87%|████████▋ | 60776/70000 [21:32:20<3:13:07, 1.26s/step] Training: 87%|████████▋ | 60777/70000 [21:32:21<3:10:26, 1.24s/step] Training: 87%|████████▋ | 60778/70000 [21:32:23<3:07:45, 1.22s/step] Training: 87%|████████▋ | 60779/70000 [21:32:24<3:16:48, 1.28s/step] Training: 87%|████████▋ | 60780/70000 [21:32:25<3:18:20, 1.29s/step] Training: 87%|████████▋ | 60781/70000 [21:32:27<3:13:58, 1.26s/step] Training: 87%|████████▋ | 60782/70000 [21:32:28<3:16:37, 1.28s/step] Training: 87%|████████▋ | 60783/70000 [21:32:29<3:12:23, 1.25s/step] Training: 87%|████████▋ | 60784/70000 [21:32:30<3:16:10, 1.28s/step] Training: 87%|████████▋ | 60785/70000 [21:32:32<3:12:06, 1.25s/step] Training: 87%|████████▋ | 60786/70000 [21:32:33<3:09:14, 1.23s/step] Training: 87%|████████▋ | 60787/70000 [21:32:34<3:13:57, 1.26s/step] Training: 87%|████████▋ | 60788/70000 [21:32:35<3:17:41, 1.29s/step] Training: 87%|████████▋ | 60789/70000 [21:32:37<3:12:52, 1.26s/step] Training: 87%|████████▋ | 60790/70000 [21:32:38<3:10:34, 1.24s/step] Training: 87%|████████▋ | 60791/70000 [21:32:39<3:08:34, 1.23s/step] Training: 87%|████████▋ | 60792/70000 [21:32:40<3:12:22, 1.25s/step] Training: 87%|████████▋ | 60793/70000 [21:32:42<3:09:23, 1.23s/step] Training: 87%|████████▋ | 60794/70000 [21:32:43<3:07:33, 1.22s/step] Training: 87%|████████▋ | 60795/70000 [21:32:44<3:13:09, 1.26s/step] Training: 87%|████████▋ | 60796/70000 [21:32:46<3:20:29, 1.31s/step] Training: 87%|████████▋ | 60797/70000 [21:32:47<3:14:58, 1.27s/step] Training: 87%|████████▋ | 60798/70000 [21:32:48<3:13:17, 1.26s/step] Training: 87%|████████▋ | 60799/70000 [21:32:49<3:10:16, 1.24s/step] Training: 87%|████████▋ | 60800/70000 [21:32:50<3:14:09, 1.27s/step]INFO 2026-03-13 17:42:43 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.53 loss:0.008 grdn:0.600 lr:2.0e-06 updt_s:1.247 data_s:0.019 Training: 87%|████████▋ | 60801/70000 [21:32:52<3:10:36, 1.24s/step] Training: 87%|████████▋ | 60802/70000 [21:32:53<3:08:09, 1.23s/step] Training: 87%|████████▋ | 60803/70000 [21:32:54<3:13:27, 1.26s/step] Training: 87%|████████▋ | 60804/70000 [21:32:56<3:16:21, 1.28s/step] Training: 87%|████████▋ | 60805/70000 [21:32:57<3:12:12, 1.25s/step] Training: 87%|████████▋ | 60806/70000 [21:32:58<3:09:19, 1.24s/step] Training: 87%|████████▋ | 60807/70000 [21:32:59<3:13:24, 1.26s/step] Training: 87%|████████▋ | 60808/70000 [21:33:00<3:11:01, 1.25s/step] Training: 87%|████████▋ | 60809/70000 [21:33:02<3:08:24, 1.23s/step] Training: 87%|████████▋ | 60810/70000 [21:33:03<3:06:34, 1.22s/step] Training: 87%|████████▋ | 60811/70000 [21:33:04<3:12:21, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=34555 Training: 87%|████████▋ | 60812/70000 [21:33:06<3:17:19, 1.29s/step] Training: 87%|████████▋ | 60813/70000 [21:33:07<3:12:43, 1.26s/step] Training: 87%|████████▋ | 60814/70000 [21:33:08<3:16:09, 1.28s/step] Training: 87%|████████▋ | 60815/70000 [21:33:09<3:12:11, 1.26s/step] Training: 87%|████████▋ | 60816/70000 [21:33:11<3:15:07, 1.27s/step] Training: 87%|████████▋ | 60817/70000 [21:33:12<3:11:19, 1.25s/step] Training: 87%|████████▋ | 60818/70000 [21:33:13<3:08:35, 1.23s/step] Training: 87%|████████▋ | 60819/70000 [21:33:14<3:13:21, 1.26s/step] Training: 87%|████████▋ | 60820/70000 [21:33:16<3:15:31, 1.28s/step] Training: 87%|████████▋ | 60821/70000 [21:33:17<3:11:04, 1.25s/step] Training: 87%|████████▋ | 60822/70000 [21:33:18<3:09:04, 1.24s/step] Training: 87%|████████▋ | 60823/70000 [21:33:19<3:06:56, 1.22s/step] Training: 87%|████████▋ | 60824/70000 [21:33:20<3:11:24, 1.25s/step] Training: 87%|████████▋ | 60825/70000 [21:33:22<3:08:27, 1.23s/step] Training: 87%|████████▋ | 60826/70000 [21:33:23<3:06:34, 1.22s/step] Training: 87%|████████▋ | 60827/70000 [21:33:24<3:11:46, 1.25s/step] Training: 87%|████████▋ | 60828/70000 [21:33:26<3:14:54, 1.27s/step] Training: 87%|████████▋ | 60829/70000 [21:33:27<3:17:46, 1.29s/step] Training: 87%|████████▋ | 60830/70000 [21:33:28<3:14:34, 1.27s/step] Training: 87%|████████▋ | 60831/70000 [21:33:29<3:10:43, 1.25s/step] Training: 87%|████████▋ | 60832/70000 [21:33:31<3:14:25, 1.27s/step] Training: 87%|████████▋ | 60833/70000 [21:33:32<3:10:32, 1.25s/step] Training: 87%|████████▋ | 60834/70000 [21:33:33<3:07:46, 1.23s/step] Training: 87%|████████▋ | 60835/70000 [21:33:34<3:12:43, 1.26s/step] Training: 87%|████████▋ | 60836/70000 [21:33:36<3:16:09, 1.28s/step] Training: 87%|████████▋ | 60837/70000 [21:33:37<3:15:16, 1.28s/step] Training: 87%|████████▋ | 60838/70000 [21:33:38<3:11:12, 1.25s/step] Training: 87%|████████▋ | 60839/70000 [21:33:39<3:14:14, 1.27s/step] Training: 87%|████████▋ | 60840/70000 [21:33:41<3:11:32, 1.25s/step] Training: 87%|████████▋ | 60841/70000 [21:33:42<3:08:37, 1.24s/step] Training: 87%|████████▋ | 60842/70000 [21:33:43<3:06:36, 1.22s/step] Training: 87%|████████▋ | 60843/70000 [21:33:44<3:13:07, 1.27s/step] Training: 87%|████████▋ | 60844/70000 [21:33:46<3:16:04, 1.28s/step] Training: 87%|████████▋ | 60845/70000 [21:33:47<3:11:37, 1.26s/step] Training: 87%|████████▋ | 60846/70000 [21:33:48<3:15:22, 1.28s/step] Training: 87%|████████▋ | 60847/70000 [21:33:49<3:10:41, 1.25s/step] Training: 87%|████████▋ | 60848/70000 [21:33:51<3:13:53, 1.27s/step] Training: 87%|████████▋ | 60849/70000 [21:33:52<3:09:59, 1.25s/step] Training: 87%|████████▋ | 60850/70000 [21:33:53<3:07:21, 1.23s/step] Training: 87%|████████▋ | 60851/70000 [21:33:54<3:11:46, 1.26s/step] Training: 87%|████████▋ | 60852/70000 [21:33:56<3:10:53, 1.25s/step] Training: 87%|████████▋ | 60853/70000 [21:33:57<3:15:47, 1.28s/step] Training: 87%|████████▋ | 60854/70000 [21:33:58<3:12:40, 1.26s/step] Training: 87%|████████▋ | 60855/70000 [21:33:59<3:09:14, 1.24s/step] Training: 87%|████████▋ | 60856/70000 [21:34:01<3:13:04, 1.27s/step] Training: 87%|████████▋ | 60857/70000 [21:34:02<3:09:22, 1.24s/step] Training: 87%|████████▋ | 60858/70000 [21:34:03<3:06:51, 1.23s/step] Training: 87%|████████▋ | 60859/70000 [21:34:04<3:11:46, 1.26s/step] Training: 87%|████████▋ | 60860/70000 [21:34:06<3:14:45, 1.28s/step] Training: 87%|████████▋ | 60861/70000 [21:34:07<3:10:38, 1.25s/step] Training: 87%|████████▋ | 60862/70000 [21:34:08<3:14:55, 1.28s/step] Training: 87%|████████▋ | 60863/70000 [21:34:10<3:10:24, 1.25s/step] Training: 87%|████████▋ | 60864/70000 [21:34:11<3:13:46, 1.27s/step] Training: 87%|████████▋ | 60865/70000 [21:34:12<3:09:57, 1.25s/step] Training: 87%|████████▋ | 60866/70000 [21:34:13<3:07:10, 1.23s/step] Training: 87%|████████▋ | 60867/70000 [21:34:15<3:12:08, 1.26s/step] Training: 87%|████████▋ | 60868/70000 [21:34:16<3:14:55, 1.28s/step] Training: 87%|████████▋ | 60869/70000 [21:34:17<3:16:46, 1.29s/step] Training: 87%|████████▋ | 60870/70000 [21:34:19<3:22:56, 1.33s/step] Training: 87%|████████▋ | 60871/70000 [21:34:20<3:16:24, 1.29s/step] Training: 87%|████████▋ | 60872/70000 [21:34:21<3:12:29, 1.27s/step] Training: 87%|████████▋ | 60873/70000 [21:34:22<3:08:59, 1.24s/step] Training: 87%|████████▋ | 60874/70000 [21:34:23<3:06:32, 1.23s/step] Training: 87%|████████▋ | 60875/70000 [21:34:25<3:13:50, 1.27s/step] Training: 87%|████████▋ | 60876/70000 [21:34:26<3:16:31, 1.29s/step] Training: 87%|████████▋ | 60877/70000 [21:34:27<3:18:01, 1.30s/step] Training: 87%|████████▋ | 60878/70000 [21:34:29<3:19:50, 1.31s/step] Training: 87%|████████▋ | 60879/70000 [21:34:30<3:14:15, 1.28s/step] Training: 87%|████████▋ | 60880/70000 [21:34:31<3:16:37, 1.29s/step] Training: 87%|████████▋ | 60881/70000 [21:34:33<3:11:55, 1.26s/step] Training: 87%|████████▋ | 60882/70000 [21:34:34<3:08:37, 1.24s/step] Training: 87%|████████▋ | 60883/70000 [21:34:35<3:12:44, 1.27s/step] Training: 87%|████████▋ | 60884/70000 [21:34:36<3:10:41, 1.26s/step] Training: 87%|████████▋ | 60885/70000 [21:34:37<3:07:40, 1.24s/step] Training: 87%|████████▋ | 60886/70000 [21:34:39<3:08:17, 1.24s/step] Training: 87%|████████▋ | 60887/70000 [21:34:40<3:05:52, 1.22s/step] Training: 87%|████████▋ | 60888/70000 [21:34:41<3:10:15, 1.25s/step] Training: 87%|████████▋ | 60889/70000 [21:34:42<3:07:21, 1.23s/step] Training: 87%|████████▋ | 60890/70000 [21:34:44<3:05:27, 1.22s/step] Training: 87%|████████▋ | 60891/70000 [21:34:45<3:14:44, 1.28s/step] Training: 87%|████████▋ | 60892/70000 [21:34:46<3:12:18, 1.27s/step] Training: 87%|████████▋ | 60893/70000 [21:34:47<3:09:44, 1.25s/step] Training: 87%|████████▋ | 60894/70000 [21:34:49<3:07:30, 1.24s/step] Training: 87%|████████▋ | 60895/70000 [21:34:50<3:12:19, 1.27s/step] Training: 87%|████████▋ | 60896/70000 [21:34:51<3:14:25, 1.28s/step] Training: 87%|████████▋ | 60897/70000 [21:34:53<3:10:17, 1.25s/step] Training: 87%|████████▋ | 60898/70000 [21:34:54<3:07:14, 1.23s/step] Training: 87%|████████▋ | 60899/70000 [21:34:55<3:11:40, 1.26s/step] Training: 87%|████████▋ | 60900/70000 [21:34:56<3:08:13, 1.24s/step]INFO 2026-03-13 17:44:48 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.62 loss:0.007 grdn:0.694 lr:2.0e-06 updt_s:1.236 data_s:0.019 Training: 87%|████████▋ | 60901/70000 [21:34:58<3:11:33, 1.26s/step] Training: 87%|████████▋ | 60902/70000 [21:34:59<3:15:56, 1.29s/step] Training: 87%|████████▋ | 60903/70000 [21:35:00<3:10:42, 1.26s/step] Training: 87%|████████▋ | 60904/70000 [21:35:01<3:07:48, 1.24s/step] Training: 87%|████████▋ | 60905/70000 [21:35:02<3:05:33, 1.22s/step] Training: 87%|████████▋ | 60906/70000 [21:35:04<3:03:51, 1.21s/step] Training: 87%|████████▋ | 60907/70000 [21:35:05<3:05:18, 1.22s/step] Training: 87%|████████▋ | 60908/70000 [21:35:06<3:09:59, 1.25s/step] Training: 87%|████████▋ | 60909/70000 [21:35:07<3:07:01, 1.23s/step] Training: 87%|████████▋ | 60910/70000 [21:35:09<3:17:17, 1.30s/step] Training: 87%|████████▋ | 60911/70000 [21:35:10<3:19:13, 1.32s/step] Training: 87%|████████▋ | 60912/70000 [21:35:12<3:19:28, 1.32s/step] Training: 87%|████████▋ | 60913/70000 [21:35:13<3:13:38, 1.28s/step] Training: 87%|████████▋ | 60914/70000 [21:35:14<3:09:30, 1.25s/step] Training: 87%|████████▋ | 60915/70000 [21:35:15<3:15:13, 1.29s/step] Training: 87%|████████▋ | 60916/70000 [21:35:16<3:11:34, 1.27s/step] Training: 87%|████████▋ | 60917/70000 [21:35:18<3:08:01, 1.24s/step] Training: 87%|████████▋ | 60918/70000 [21:35:19<3:07:16, 1.24s/step] Training: 87%|████████▋ | 60919/70000 [21:35:20<3:11:50, 1.27s/step] Training: 87%|████████▋ | 60920/70000 [21:35:22<3:13:43, 1.28s/step] Training: 87%|████████▋ | 60921/70000 [21:35:23<3:09:42, 1.25s/step] Training: 87%|████████▋ | 60922/70000 [21:35:24<3:06:56, 1.24s/step] Training: 87%|████████▋ | 60923/70000 [21:35:25<3:11:25, 1.27s/step] Training: 87%|████████▋ | 60924/70000 [21:35:26<3:09:49, 1.25s/step] Training: 87%|████████▋ | 60925/70000 [21:35:28<3:08:38, 1.25s/step] Training: 87%|████████▋ | 60926/70000 [21:35:29<3:06:58, 1.24s/step] Training: 87%|████████▋ | 60927/70000 [21:35:30<3:05:02, 1.22s/step] Training: 87%|████████▋ | 60928/70000 [21:35:31<3:05:08, 1.22s/step] Training: 87%|████████▋ | 60929/70000 [21:35:33<3:03:26, 1.21s/step] Training: 87%|████████▋ | 60930/70000 [21:35:34<3:02:27, 1.21s/step] Training: 87%|████████▋ | 60931/70000 [21:35:35<3:08:22, 1.25s/step] Training: 87%|████████▋ | 60932/70000 [21:35:36<3:05:40, 1.23s/step] Training: 87%|████████▋ | 60933/70000 [21:35:38<3:09:42, 1.26s/step] Training: 87%|████████▋ | 60934/70000 [21:35:39<3:13:03, 1.28s/step] Training: 87%|████████▋ | 60935/70000 [21:35:40<3:10:35, 1.26s/step] Training: 87%|████████▋ | 60936/70000 [21:35:41<3:07:40, 1.24s/step] Training: 87%|████████▋ | 60937/70000 [21:35:43<3:05:19, 1.23s/step] Training: 87%|████████▋ | 60938/70000 [21:35:44<3:03:31, 1.22s/step] Training: 87%|████████▋ | 60939/70000 [21:35:45<3:10:07, 1.26s/step] Training: 87%|████████▋ | 60940/70000 [21:35:46<3:07:03, 1.24s/step] Training: 87%|████████▋ | 60941/70000 [21:35:48<3:11:01, 1.27s/step] Training: 87%|████████▋ | 60942/70000 [21:35:49<3:14:04, 1.29s/step] Training: 87%|████████▋ | 60943/70000 [21:35:50<3:13:26, 1.28s/step] Training: 87%|████████▋ | 60944/70000 [21:35:52<3:16:10, 1.30s/step] Training: 87%|████████▋ | 60945/70000 [21:35:53<3:11:25, 1.27s/step] Training: 87%|████████▋ | 60946/70000 [21:35:54<3:07:50, 1.24s/step] Training: 87%|████████▋ | 60947/70000 [21:35:55<3:13:22, 1.28s/step] Training: 87%|████████▋ | 60948/70000 [21:35:57<3:13:37, 1.28s/step] Training: 87%|████████▋ | 60949/70000 [21:35:58<3:15:57, 1.30s/step] Training: 87%|████████▋ | 60950/70000 [21:35:59<3:12:57, 1.28s/step] Training: 87%|████████▋ | 60951/70000 [21:36:00<3:08:47, 1.25s/step] Training: 87%|████████▋ | 60952/70000 [21:36:02<3:17:33, 1.31s/step] Training: 87%|████████▋ | 60953/70000 [21:36:03<3:12:12, 1.27s/step] Training: 87%|████████▋ | 60954/70000 [21:36:04<3:08:46, 1.25s/step] Training: 87%|████████▋ | 60955/70000 [21:36:05<3:06:42, 1.24s/step] Training: 87%|████████▋ | 60956/70000 [21:36:07<3:14:02, 1.29s/step] Training: 87%|████████▋ | 60957/70000 [21:36:08<3:12:30, 1.28s/step] Training: 87%|████████▋ | 60958/70000 [21:36:09<3:09:27, 1.26s/step] Training: 87%|████████▋ | 60959/70000 [21:36:10<3:06:28, 1.24s/step] Training: 87%|████████▋ | 60960/70000 [21:36:12<3:07:28, 1.24s/step] Training: 87%|████████▋ | 60961/70000 [21:36:13<3:04:56, 1.23s/step] Training: 87%|████████▋ | 60962/70000 [21:36:14<3:03:36, 1.22s/step] Training: 87%|████████▋ | 60963/70000 [21:36:15<3:09:15, 1.26s/step] Training: 87%|████████▋ | 60964/70000 [21:36:17<3:11:59, 1.27s/step] Training: 87%|████████▋ | 60965/70000 [21:36:18<3:09:42, 1.26s/step] Training: 87%|████████▋ | 60966/70000 [21:36:19<3:12:53, 1.28s/step] Training: 87%|████████▋ | 60967/70000 [21:36:20<3:08:46, 1.25s/step] Training: 87%|████████▋ | 60968/70000 [21:36:22<3:07:00, 1.24s/step] Training: 87%|████████▋ | 60969/70000 [21:36:23<3:11:13, 1.27s/step] Training: 87%|████████▋ | 60970/70000 [21:36:24<3:07:12, 1.24s/step] Training: 87%|████████▋ | 60971/70000 [21:36:26<3:12:20, 1.28s/step] Training: 87%|████████▋ | 60972/70000 [21:36:27<3:14:44, 1.29s/step] Training: 87%|████████▋ | 60973/70000 [21:36:28<3:16:19, 1.30s/step] Training: 87%|████████▋ | 60974/70000 [21:36:30<3:17:48, 1.31s/step] Training: 87%|████████▋ | 60975/70000 [21:36:31<3:12:16, 1.28s/step] Training: 87%|████████▋ | 60976/70000 [21:36:32<3:15:26, 1.30s/step] Training: 87%|████████▋ | 60977/70000 [21:36:33<3:09:54, 1.26s/step] Training: 87%|████████▋ | 60978/70000 [21:36:34<3:06:35, 1.24s/step] Training: 87%|████████▋ | 60979/70000 [21:36:36<3:07:53, 1.25s/step] Training: 87%|████████▋ | 60980/70000 [21:36:37<3:12:50, 1.28s/step] Training: 87%|████████▋ | 60981/70000 [21:36:38<3:15:41, 1.30s/step] Training: 87%|████████▋ | 60982/70000 [21:36:40<3:12:43, 1.28s/step] Training: 87%|████████▋ | 60983/70000 [21:36:41<3:08:41, 1.26s/step] Training: 87%|████████▋ | 60984/70000 [21:36:42<3:11:14, 1.27s/step] Training: 87%|████████▋ | 60985/70000 [21:36:44<3:14:25, 1.29s/step] Training: 87%|████████▋ | 60986/70000 [21:36:45<3:09:23, 1.26s/step] Training: 87%|████████▋ | 60987/70000 [21:36:46<3:07:10, 1.25s/step] Training: 87%|████████▋ | 60988/70000 [21:36:47<3:15:34, 1.30s/step] Training: 87%|████████▋ | 60989/70000 [21:36:49<3:12:11, 1.28s/step] Training: 87%|████████▋ | 60990/70000 [21:36:50<3:09:32, 1.26s/step] Training: 87%|████████▋ | 60991/70000 [21:36:51<3:06:28, 1.24s/step] Training: 87%|████████▋ | 60992/70000 [21:36:52<3:06:08, 1.24s/step] Training: 87%|████████▋ | 60993/70000 [21:36:54<3:10:36, 1.27s/step] Training: 87%|████████▋ | 60994/70000 [21:36:55<3:06:50, 1.24s/step] Training: 87%|████████▋ | 60995/70000 [21:36:56<3:10:31, 1.27s/step] Training: 87%|████████▋ | 60996/70000 [21:36:57<3:07:37, 1.25s/step] Training: 87%|████████▋ | 60997/70000 [21:36:59<3:09:46, 1.26s/step] Training: 87%|████████▋ | 60998/70000 [21:37:00<3:12:30, 1.28s/step] Training: 87%|████████▋ | 60999/70000 [21:37:01<3:08:23, 1.26s/step] Training: 87%|████████▋ | 61000/70000 [21:37:02<3:06:08, 1.24s/step]INFO 2026-03-13 17:46:54 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.70 loss:0.008 grdn:0.666 lr:2.0e-06 updt_s:1.241 data_s:0.019 Training: 87%|████████▋ | 61001/70000 [21:37:04<3:03:54, 1.23s/step] Training: 87%|████████▋ | 61002/70000 [21:37:05<3:02:10, 1.21s/step] Training: 87%|████████▋ | 61003/70000 [21:37:06<3:09:16, 1.26s/step] Training: 87%|████████▋ | 61004/70000 [21:37:07<3:12:21, 1.28s/step] Training: 87%|████████▋ | 61005/70000 [21:37:09<3:13:54, 1.29s/step] Training: 87%|████████▋ | 61006/70000 [21:37:10<3:16:00, 1.31s/step] Training: 87%|████████▋ | 61007/70000 [21:37:11<3:10:44, 1.27s/step] Training: 87%|████████▋ | 61008/70000 [21:37:13<3:13:04, 1.29s/step] Training: 87%|████████▋ | 61009/70000 [21:37:14<3:10:55, 1.27s/step] Training: 87%|████████▋ | 61010/70000 [21:37:15<3:07:04, 1.25s/step] Training: 87%|████████▋ | 61011/70000 [21:37:16<3:07:30, 1.25s/step] Training: 87%|████████▋ | 61012/70000 [21:37:18<3:11:49, 1.28s/step] Training: 87%|████████▋ | 61013/70000 [21:37:19<3:13:47, 1.29s/step] Training: 87%|████████▋ | 61014/70000 [21:37:20<3:11:50, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=70969 Training: 87%|████████▋ | 61015/70000 [21:37:21<3:07:45, 1.25s/step] Training: 87%|████████▋ | 61016/70000 [21:37:23<3:11:26, 1.28s/step] Training: 87%|████████▋ | 61017/70000 [21:37:24<3:09:26, 1.27s/step] Training: 87%|████████▋ | 61018/70000 [21:37:25<3:05:34, 1.24s/step] Training: 87%|████████▋ | 61019/70000 [21:37:26<3:09:47, 1.27s/step] Training: 87%|████████▋ | 61020/70000 [21:37:28<3:12:03, 1.28s/step] Training: 87%|████████▋ | 61021/70000 [21:37:29<3:09:18, 1.26s/step] Training: 87%|████████▋ | 61022/70000 [21:37:30<3:06:43, 1.25s/step] Training: 87%|████████▋ | 61023/70000 [21:37:31<3:04:07, 1.23s/step] Training: 87%|████████▋ | 61024/70000 [21:37:33<3:04:21, 1.23s/step] Training: 87%|████████▋ | 61025/70000 [21:37:34<3:02:15, 1.22s/step] Training: 87%|████████▋ | 61026/70000 [21:37:35<3:07:29, 1.25s/step] Training: 87%|████████▋ | 61027/70000 [21:37:37<3:10:29, 1.27s/step] Training: 87%|████████▋ | 61028/70000 [21:37:38<3:07:58, 1.26s/step] Training: 87%|████████▋ | 61029/70000 [21:37:39<3:09:54, 1.27s/step] Training: 87%|████████▋ | 61030/70000 [21:37:40<3:12:13, 1.29s/step] Training: 87%|████████▋ | 61031/70000 [21:37:42<3:07:53, 1.26s/step] Training: 87%|████████▋ | 61032/70000 [21:37:43<3:06:02, 1.24s/step] Training: 87%|████████▋ | 61033/70000 [21:37:44<3:03:35, 1.23s/step] Training: 87%|████████▋ | 61034/70000 [21:37:45<3:06:25, 1.25s/step] Training: 87%|████████▋ | 61035/70000 [21:37:47<3:11:20, 1.28s/step] Training: 87%|████████▋ | 61036/70000 [21:37:48<3:13:47, 1.30s/step] Training: 87%|████████▋ | 61037/70000 [21:37:49<3:08:55, 1.26s/step] Training: 87%|████████▋ | 61038/70000 [21:37:51<3:17:39, 1.32s/step] Training: 87%|████████▋ | 61039/70000 [21:37:52<3:11:47, 1.28s/step] Training: 87%|████████▋ | 61040/70000 [21:37:53<3:13:18, 1.29s/step] Training: 87%|████████▋ | 61041/70000 [21:37:54<3:08:30, 1.26s/step] Training: 87%|████████▋ | 61042/70000 [21:37:56<3:12:52, 1.29s/step] Training: 87%|████████▋ | 61043/70000 [21:37:57<3:09:21, 1.27s/step] Training: 87%|████████▋ | 61044/70000 [21:37:58<3:12:41, 1.29s/step] Training: 87%|████████▋ | 61045/70000 [21:38:00<3:14:11, 1.30s/step] Training: 87%|████████▋ | 61046/70000 [21:38:01<3:11:01, 1.28s/step] Training: 87%|████████▋ | 61047/70000 [21:38:02<3:06:57, 1.25s/step] Training: 87%|████████▋ | 61048/70000 [21:38:03<3:10:05, 1.27s/step] Training: 87%|████████▋ | 61049/70000 [21:38:04<3:06:20, 1.25s/step] Training: 87%|████████▋ | 61050/70000 [21:38:06<3:11:17, 1.28s/step] Training: 87%|████████▋ | 61051/70000 [21:38:07<3:13:12, 1.30s/step] Training: 87%|████████▋ | 61052/70000 [21:38:08<3:14:27, 1.30s/step] Training: 87%|████████▋ | 61053/70000 [21:38:10<3:10:01, 1.27s/step] Training: 87%|████████▋ | 61054/70000 [21:38:11<3:07:03, 1.25s/step] Training: 87%|████████▋ | 61055/70000 [21:38:12<3:04:19, 1.24s/step] Training: 87%|████████▋ | 61056/70000 [21:38:13<3:04:01, 1.23s/step] Training: 87%|████████▋ | 61057/70000 [21:38:14<3:02:02, 1.22s/step] Training: 87%|████████▋ | 61058/70000 [21:38:16<3:00:34, 1.21s/step] Training: 87%|████████▋ | 61059/70000 [21:38:17<3:10:02, 1.28s/step] Training: 87%|████████▋ | 61060/70000 [21:38:18<3:07:27, 1.26s/step] Training: 87%|████████▋ | 61061/70000 [21:38:20<3:09:11, 1.27s/step] Training: 87%|████████▋ | 61062/70000 [21:38:21<3:12:28, 1.29s/step] Training: 87%|████████▋ | 61063/70000 [21:38:22<3:07:46, 1.26s/step] Training: 87%|████████▋ | 61064/70000 [21:38:23<3:05:22, 1.24s/step] Training: 87%|████████▋ | 61065/70000 [21:38:25<3:02:53, 1.23s/step] Training: 87%|████████▋ | 61066/70000 [21:38:26<3:01:29, 1.22s/step] Training: 87%|████████▋ | 61067/70000 [21:38:27<3:10:35, 1.28s/step] Training: 87%|████████▋ | 61068/70000 [21:38:28<3:12:49, 1.30s/step] Training: 87%|████████▋ | 61069/70000 [21:38:30<3:08:08, 1.26s/step] Training: 87%|████████▋ | 61070/70000 [21:38:31<3:16:38, 1.32s/step] Training: 87%|████████▋ | 61071/70000 [21:38:32<3:10:35, 1.28s/step] Training: 87%|████████▋ | 61072/70000 [21:38:34<3:13:00, 1.30s/step] Training: 87%|████████▋ | 61073/70000 [21:38:35<3:08:18, 1.27s/step] Training: 87%|████████▋ | 61074/70000 [21:38:36<3:04:49, 1.24s/step] Training: 87%|████████▋ | 61075/70000 [21:38:37<3:06:23, 1.25s/step] Training: 87%|████████▋ | 61076/70000 [21:38:39<3:10:23, 1.28s/step] Training: 87%|████████▋ | 61077/70000 [21:38:40<3:13:16, 1.30s/step] Training: 87%|████████▋ | 61078/70000 [21:38:41<3:09:15, 1.27s/step] Training: 87%|████████▋ | 61079/70000 [21:38:42<3:05:30, 1.25s/step] Training: 87%|████████▋ | 61080/70000 [21:38:44<3:09:07, 1.27s/step] Training: 87%|████████▋ | 61081/70000 [21:38:45<3:05:29, 1.25s/step] Training: 87%|████████▋ | 61082/70000 [21:38:46<3:03:13, 1.23s/step] Training: 87%|████████▋ | 61083/70000 [21:38:47<3:08:42, 1.27s/step] Training: 87%|████████▋ | 61084/70000 [21:38:49<3:10:26, 1.28s/step] Training: 87%|████████▋ | 61085/70000 [21:38:50<3:07:04, 1.26s/step] Training: 87%|████████▋ | 61086/70000 [21:38:51<3:06:14, 1.25s/step] Training: 87%|████████▋ | 61087/70000 [21:38:52<3:03:26, 1.23s/step] Training: 87%|████████▋ | 61088/70000 [21:38:54<3:03:22, 1.23s/step] Training: 87%|████████▋ | 61089/70000 [21:38:55<3:01:18, 1.22s/step] Training: 87%|████████▋ | 61090/70000 [21:38:56<2:59:56, 1.21s/step] Training: 87%|████████▋ | 61091/70000 [21:38:57<3:00:52, 1.22s/step] Training: 87%|████████▋ | 61092/70000 [21:38:59<3:05:48, 1.25s/step] Training: 87%|████████▋ | 61093/70000 [21:39:00<3:07:54, 1.27s/step] Training: 87%|████████▋ | 61094/70000 [21:39:01<3:04:25, 1.24s/step] Training: 87%|████████▋ | 61095/70000 [21:39:02<3:08:07, 1.27s/step] Training: 87%|████████▋ | 61096/70000 [21:39:04<3:05:40, 1.25s/step] Training: 87%|████████▋ | 61097/70000 [21:39:05<3:02:57, 1.23s/step] Training: 87%|████████▋ | 61098/70000 [21:39:06<3:00:49, 1.22s/step] Training: 87%|████████▋ | 61099/70000 [21:39:07<3:07:22, 1.26s/step] Training: 87%|████████▋ | 61100/70000 [21:39:09<3:11:31, 1.29s/step]INFO 2026-03-13 17:49:01 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.79 loss:0.007 grdn:0.597 lr:2.0e-06 updt_s:1.243 data_s:0.019 Training: 87%|████████▋ | 61101/70000 [21:39:10<3:06:30, 1.26s/step] Training: 87%|████████▋ | 61102/70000 [21:39:11<3:15:42, 1.32s/step] Training: 87%|████████▋ | 61103/70000 [21:39:13<3:10:08, 1.28s/step] Training: 87%|████████▋ | 61104/70000 [21:39:14<3:11:52, 1.29s/step] Training: 87%|████████▋ | 61105/70000 [21:39:15<3:07:13, 1.26s/step] Training: 87%|████████▋ | 61106/70000 [21:39:16<3:04:13, 1.24s/step] Training: 87%|████████▋ | 61107/70000 [21:39:18<3:04:13, 1.24s/step] Training: 87%|████████▋ | 61108/70000 [21:39:19<3:07:14, 1.26s/step] Training: 87%|████████▋ | 61109/70000 [21:39:20<3:09:30, 1.28s/step] Training: 87%|████████▋ | 61110/70000 [21:39:21<3:06:14, 1.26s/step] Training: 87%|████████▋ | 61111/70000 [21:39:23<3:03:11, 1.24s/step] Training: 87%|████████▋ | 61112/70000 [21:39:24<3:06:53, 1.26s/step] Training: 87%|████████▋ | 61113/70000 [21:39:25<3:03:33, 1.24s/step] Training: 87%|████████▋ | 61114/70000 [21:39:26<3:01:15, 1.22s/step] Training: 87%|████████▋ | 61115/70000 [21:39:28<3:06:15, 1.26s/step] Training: 87%|████████▋ | 61116/70000 [21:39:29<3:12:49, 1.30s/step] Training: 87%|████████▋ | 61117/70000 [21:39:30<3:08:07, 1.27s/step] Training: 87%|████████▋ | 61118/70000 [21:39:31<3:06:34, 1.26s/step] Training: 87%|████████▋ | 61119/70000 [21:39:33<3:03:29, 1.24s/step] Training: 87%|████████▋ | 61120/70000 [21:39:34<3:02:30, 1.23s/step] Training: 87%|████████▋ | 61121/70000 [21:39:35<3:00:38, 1.22s/step] Training: 87%|████████▋ | 61122/70000 [21:39:36<2:58:59, 1.21s/step] Training: 87%|████████▋ | 61123/70000 [21:39:38<3:04:04, 1.24s/step] Training: 87%|████████▋ | 61124/70000 [21:39:39<3:07:46, 1.27s/step] Training: 87%|████████▋ | 61125/70000 [21:39:40<3:10:55, 1.29s/step] Training: 87%|████████▋ | 61126/70000 [21:39:41<3:05:57, 1.26s/step] Training: 87%|████████▋ | 61127/70000 [21:39:43<3:08:51, 1.28s/step] Training: 87%|████████▋ | 61128/70000 [21:39:44<3:05:46, 1.26s/step] Training: 87%|████████▋ | 61129/70000 [21:39:45<3:02:51, 1.24s/step] Training: 87%|████████▋ | 61130/70000 [21:39:46<3:00:38, 1.22s/step] Training: 87%|████████▋ | 61131/70000 [21:39:48<3:01:08, 1.23s/step] Training: 87%|████████▋ | 61132/70000 [21:39:49<3:05:50, 1.26s/step] Training: 87%|████████▋ | 61133/70000 [21:39:50<3:16:37, 1.33s/step] Training: 87%|████████▋ | 61134/70000 [21:39:52<3:10:15, 1.29s/step] Training: 87%|████████▋ | 61135/70000 [21:39:53<3:06:00, 1.26s/step] Training: 87%|████████▋ | 61136/70000 [21:39:54<3:09:09, 1.28s/step] Training: 87%|████████▋ | 61137/70000 [21:39:55<3:05:13, 1.25s/step] Training: 87%|████████▋ | 61138/70000 [21:39:56<3:02:36, 1.24s/step] Training: 87%|████████▋ | 61139/70000 [21:39:58<3:03:17, 1.24s/step] Training: 87%|████████▋ | 61140/70000 [21:39:59<3:09:34, 1.28s/step] Training: 87%|████████▋ | 61141/70000 [21:40:01<3:15:56, 1.33s/step] Training: 87%|████████▋ | 61142/70000 [21:40:02<3:11:15, 1.30s/step] Training: 87%|████████▋ | 61143/70000 [21:40:03<3:06:29, 1.26s/step] Training: 87%|████████▋ | 61144/70000 [21:40:04<3:09:20, 1.28s/step] Training: 87%|████████▋ | 61145/70000 [21:40:05<3:05:19, 1.26s/step] Training: 87%|████████▋ | 61146/70000 [21:40:07<3:02:25, 1.24s/step] Training: 87%|████████▋ | 61147/70000 [21:40:08<3:06:36, 1.26s/step] Training: 87%|████████▋ | 61148/70000 [21:40:09<3:05:32, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=58435 Training: 87%|████████▋ | 61149/70000 [21:40:11<3:07:14, 1.27s/step] Training: 87%|████████▋ | 61150/70000 [21:40:12<3:07:14, 1.27s/step] Training: 87%|████████▋ | 61151/70000 [21:40:13<3:03:57, 1.25s/step] Training: 87%|████████▋ | 61152/70000 [21:40:14<3:02:50, 1.24s/step] Training: 87%|████████▋ | 61153/70000 [21:40:15<3:00:48, 1.23s/step] Training: 87%|████████▋ | 61154/70000 [21:40:17<2:59:22, 1.22s/step] Training: 87%|████████▋ | 61155/70000 [21:40:18<3:04:31, 1.25s/step] Training: 87%|████████▋ | 61156/70000 [21:40:19<3:08:18, 1.28s/step] Training: 87%|████████▋ | 61157/70000 [21:40:20<3:05:09, 1.26s/step] Training: 87%|████████▋ | 61158/70000 [21:40:22<3:14:15, 1.32s/step] Training: 87%|████████▋ | 61159/70000 [21:40:23<3:08:44, 1.28s/step] Training: 87%|████████▋ | 61160/70000 [21:40:24<3:05:31, 1.26s/step] Training: 87%|████████▋ | 61161/70000 [21:40:26<3:02:42, 1.24s/step] Training: 87%|████████▋ | 61162/70000 [21:40:27<3:00:49, 1.23s/step] Training: 87%|████████▋ | 61163/70000 [21:40:28<3:06:56, 1.27s/step] Training: 87%|████████▋ | 61164/70000 [21:40:29<3:09:17, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=70768 Training: 87%|████████▋ | 61165/70000 [21:40:31<3:10:59, 1.30s/step] Training: 87%|████████▋ | 61166/70000 [21:40:32<3:12:21, 1.31s/step] Training: 87%|████████▋ | 61167/70000 [21:40:33<3:07:32, 1.27s/step] Training: 87%|████████▋ | 61168/70000 [21:40:35<3:09:34, 1.29s/step] Training: 87%|████████▋ | 61169/70000 [21:40:36<3:05:22, 1.26s/step] Training: 87%|████████▋ | 61170/70000 [21:40:37<3:02:29, 1.24s/step] Training: 87%|████████▋ | 61171/70000 [21:40:38<3:02:49, 1.24s/step] Training: 87%|████████▋ | 61172/70000 [21:40:40<3:08:16, 1.28s/step] Training: 87%|████████▋ | 61173/70000 [21:40:41<3:10:38, 1.30s/step] Training: 87%|████████▋ | 61174/70000 [21:40:42<3:10:15, 1.29s/step] Training: 87%|████████▋ | 61175/70000 [21:40:43<3:05:32, 1.26s/step] Training: 87%|████████▋ | 61176/70000 [21:40:45<3:08:34, 1.28s/step] Training: 87%|████████▋ | 61177/70000 [21:40:46<3:04:37, 1.26s/step] Training: 87%|████████▋ | 61178/70000 [21:40:47<3:01:54, 1.24s/step] Training: 87%|████████▋ | 61179/70000 [21:40:48<3:05:46, 1.26s/step] Training: 87%|████████▋ | 61180/70000 [21:40:50<3:05:28, 1.26s/step] Training: 87%|████████▋ | 61181/70000 [21:40:51<3:03:53, 1.25s/step] Training: 87%|████████▋ | 61182/70000 [21:40:52<3:06:00, 1.27s/step] Training: 87%|████████▋ | 61183/70000 [21:40:53<3:02:19, 1.24s/step] Training: 87%|████████▋ | 61184/70000 [21:40:55<3:02:11, 1.24s/step] Training: 87%|████████▋ | 61185/70000 [21:40:56<2:59:53, 1.22s/step] Training: 87%|████████▋ | 61186/70000 [21:40:57<2:58:27, 1.21s/step] Training: 87%|████████▋ | 61187/70000 [21:40:58<3:03:36, 1.25s/step] Training: 87%|████████▋ | 61188/70000 [21:41:00<3:01:43, 1.24s/step] Training: 87%|████████▋ | 61189/70000 [21:41:01<3:05:44, 1.26s/step] Training: 87%|████████▋ | 61190/70000 [21:41:02<3:08:29, 1.28s/step] Training: 87%|████████▋ | 61191/70000 [21:41:04<3:12:42, 1.31s/step] Training: 87%|████████▋ | 61192/70000 [21:41:05<3:07:40, 1.28s/step] Training: 87%|████████▋ | 61193/70000 [21:41:06<3:03:45, 1.25s/step] Training: 87%|████████▋ | 61194/70000 [21:41:07<3:01:02, 1.23s/step] Training: 87%|████████▋ | 61195/70000 [21:41:09<3:07:14, 1.28s/step] Training: 87%|████████▋ | 61196/70000 [21:41:10<3:09:20, 1.29s/step] Training: 87%|████████▋ | 61197/70000 [21:41:11<3:16:13, 1.34s/step] Training: 87%|████████▋ | 61198/70000 [21:41:13<3:15:34, 1.33s/step] Training: 87%|████████▋ | 61199/70000 [21:41:14<3:13:14, 1.32s/step] Training: 87%|████████▋ | 61200/70000 [21:41:15<3:14:39, 1.33s/step]INFO 2026-03-13 17:51:07 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.87 loss:0.008 grdn:0.663 lr:1.9e-06 updt_s:1.245 data_s:0.018 Training: 87%|████████▋ | 61201/70000 [21:41:16<3:08:37, 1.29s/step] Training: 87%|████████▋ | 61202/70000 [21:41:18<3:04:25, 1.26s/step] Training: 87%|████████▋ | 61203/70000 [21:41:19<3:04:12, 1.26s/step] Training: 87%|████████▋ | 61204/70000 [21:41:20<3:07:24, 1.28s/step] Training: 87%|████████▋ | 61205/70000 [21:41:22<3:13:10, 1.32s/step] Training: 87%|████████▋ | 61206/70000 [21:41:23<3:09:32, 1.29s/step] Training: 87%|████████▋ | 61207/70000 [21:41:24<3:04:59, 1.26s/step] Training: 87%|████████▋ | 61208/70000 [21:41:26<3:14:23, 1.33s/step] Training: 87%|████████▋ | 61209/70000 [21:41:27<3:08:36, 1.29s/step] Training: 87%|████████▋ | 61210/70000 [21:41:28<3:03:57, 1.26s/step] Training: 87%|████████▋ | 61211/70000 [21:41:29<3:07:47, 1.28s/step] Training: 87%|████████▋ | 61212/70000 [21:41:30<3:04:51, 1.26s/step] Training: 87%|████████▋ | 61213/70000 [21:41:32<3:03:45, 1.25s/step] Training: 87%|████████▋ | 61214/70000 [21:41:33<3:01:52, 1.24s/step] Training: 87%|████████▋ | 61215/70000 [21:41:34<3:08:02, 1.28s/step] Training: 87%|████████▋ | 61216/70000 [21:41:36<3:05:11, 1.26s/step] Training: 87%|████████▋ | 61217/70000 [21:41:37<3:01:46, 1.24s/step] Training: 87%|████████▋ | 61218/70000 [21:41:38<2:59:33, 1.23s/step] Training: 87%|████████▋ | 61219/70000 [21:41:39<3:04:33, 1.26s/step] Training: 87%|████████▋ | 61220/70000 [21:41:40<3:02:49, 1.25s/step] Training: 87%|████████▋ | 61221/70000 [21:41:42<3:01:03, 1.24s/step] Training: 87%|████████▋ | 61222/70000 [21:41:43<3:04:47, 1.26s/step] Training: 87%|████████▋ | 61223/70000 [21:41:44<3:01:50, 1.24s/step] Training: 87%|████████▋ | 61224/70000 [21:41:46<3:07:34, 1.28s/step] Training: 87%|████████▋ | 61225/70000 [21:41:47<3:03:07, 1.25s/step] Training: 87%|████████▋ | 61226/70000 [21:41:48<3:00:24, 1.23s/step] Training: 87%|████████▋ | 61227/70000 [21:41:49<3:06:01, 1.27s/step] Training: 87%|████████▋ | 61228/70000 [21:41:51<3:08:44, 1.29s/step] Training: 87%|████████▋ | 61229/70000 [21:41:52<3:11:35, 1.31s/step] Training: 87%|████████▋ | 61230/70000 [21:41:53<3:12:51, 1.32s/step] Training: 87%|████████▋ | 61231/70000 [21:41:55<3:07:16, 1.28s/step] Training: 87%|████████▋ | 61232/70000 [21:41:56<3:14:33, 1.33s/step] Training: 87%|████████▋ | 61233/70000 [21:41:57<3:08:27, 1.29s/step] Training: 87%|████████▋ | 61234/70000 [21:41:58<3:04:16, 1.26s/step] Training: 87%|████████▋ | 61235/70000 [21:42:00<3:04:40, 1.26s/step] Training: 87%|████████▋ | 61236/70000 [21:42:01<3:07:37, 1.28s/step] Training: 87%|████████▋ | 61237/70000 [21:42:02<3:09:38, 1.30s/step] Training: 87%|████████▋ | 61238/70000 [21:42:04<3:07:12, 1.28s/step] Training: 87%|████████▋ | 61239/70000 [21:42:05<3:03:09, 1.25s/step] Training: 87%|████████▋ | 61240/70000 [21:42:06<3:06:08, 1.27s/step] Training: 87%|████████▋ | 61241/70000 [21:42:07<3:02:28, 1.25s/step] Training: 87%|████████▋ | 61242/70000 [21:42:08<2:59:50, 1.23s/step] Training: 87%|████████▋ | 61243/70000 [21:42:10<3:04:00, 1.26s/step] Training: 87%|████████▋ | 61244/70000 [21:42:11<3:02:22, 1.25s/step] Training: 87%|████████▋ | 61245/70000 [21:42:12<3:07:21, 1.28s/step] Training: 87%|████████▋ | 61246/70000 [21:42:14<3:03:49, 1.26s/step] Training: 87%|████████▋ | 61247/70000 [21:42:15<3:00:38, 1.24s/step] Training: 87%|████████▋ | 61248/70000 [21:42:16<3:01:54, 1.25s/step] Training: 87%|████████▋ | 61249/70000 [21:42:17<2:59:23, 1.23s/step] Training: 88%|████████▊ | 61250/70000 [21:42:18<2:57:34, 1.22s/step] Training: 88%|████████▊ | 61251/70000 [21:42:20<3:02:38, 1.25s/step] Training: 88%|████████▊ | 61252/70000 [21:42:21<3:00:35, 1.24s/step] Training: 88%|████████▊ | 61253/70000 [21:42:22<3:04:32, 1.27s/step] Training: 88%|████████▊ | 61254/70000 [21:42:24<3:06:55, 1.28s/step] Training: 88%|████████▊ | 61255/70000 [21:42:25<3:02:43, 1.25s/step] Training: 88%|████████▊ | 61256/70000 [21:42:26<3:02:40, 1.25s/step] Training: 88%|████████▊ | 61257/70000 [21:42:27<2:59:28, 1.23s/step] Training: 88%|████████▊ | 61258/70000 [21:42:28<2:57:40, 1.22s/step] Training: 88%|████████▊ | 61259/70000 [21:42:30<3:04:27, 1.27s/step] Training: 88%|████████▊ | 61260/70000 [21:42:31<3:07:25, 1.29s/step] Training: 88%|████████▊ | 61261/70000 [21:42:32<3:10:52, 1.31s/step] Training: 88%|████████▊ | 61262/70000 [21:42:34<3:12:15, 1.32s/step] Training: 88%|████████▊ | 61263/70000 [21:42:35<3:06:36, 1.28s/step] Training: 88%|████████▊ | 61264/70000 [21:42:36<3:08:37, 1.30s/step] Training: 88%|████████▊ | 61265/70000 [21:42:38<3:11:53, 1.32s/step] Training: 88%|████████▊ | 61266/70000 [21:42:39<3:06:02, 1.28s/step] Training: 88%|████████▊ | 61267/70000 [21:42:40<3:05:13, 1.27s/step] Training: 88%|████████▊ | 61268/70000 [21:42:41<3:07:32, 1.29s/step] Training: 88%|████████▊ | 61269/70000 [21:42:43<3:09:12, 1.30s/step] Training: 88%|████████▊ | 61270/70000 [21:42:44<3:06:57, 1.28s/step] Training: 88%|████████▊ | 61271/70000 [21:42:45<3:02:53, 1.26s/step] Training: 88%|████████▊ | 61272/70000 [21:42:47<3:06:06, 1.28s/step] Training: 88%|████████▊ | 61273/70000 [21:42:48<3:06:53, 1.28s/step] Training: 88%|████████▊ | 61274/70000 [21:42:49<3:02:34, 1.26s/step] Training: 88%|████████▊ | 61275/70000 [21:42:50<3:00:26, 1.24s/step] Training: 88%|████████▊ | 61276/70000 [21:42:52<3:04:07, 1.27s/step] Training: 88%|████████▊ | 61277/70000 [21:42:53<3:08:09, 1.29s/step] Training: 88%|████████▊ | 61278/70000 [21:42:54<3:05:54, 1.28s/step] Training: 88%|████████▊ | 61279/70000 [21:42:55<3:02:12, 1.25s/step] Training: 88%|████████▊ | 61280/70000 [21:42:57<3:00:56, 1.24s/step] Training: 88%|████████▊ | 61281/70000 [21:42:58<3:06:10, 1.28s/step] Training: 88%|████████▊ | 61282/70000 [21:42:59<3:01:39, 1.25s/step] Training: 88%|████████▊ | 61283/70000 [21:43:01<3:05:34, 1.28s/step] Training: 88%|████████▊ | 61284/70000 [21:43:02<3:04:58, 1.27s/step] Training: 88%|████████▊ | 61285/70000 [21:43:03<3:02:04, 1.25s/step] Training: 88%|████████▊ | 61286/70000 [21:43:04<3:04:49, 1.27s/step] Training: 88%|████████▊ | 61287/70000 [21:43:06<3:06:20, 1.28s/step] Training: 88%|████████▊ | 61288/70000 [21:43:07<3:03:07, 1.26s/step] Training: 88%|████████▊ | 61289/70000 [21:43:08<3:08:17, 1.30s/step] Training: 88%|████████▊ | 61290/70000 [21:43:09<3:03:16, 1.26s/step] Training: 88%|████████▊ | 61291/70000 [21:43:11<3:06:15, 1.28s/step] Training: 88%|████████▊ | 61292/70000 [21:43:12<3:08:14, 1.30s/step] Training: 88%|████████▊ | 61293/70000 [21:43:13<3:09:22, 1.31s/step] Training: 88%|████████▊ | 61294/70000 [21:43:15<3:09:20, 1.30s/step] Training: 88%|████████▊ | 61295/70000 [21:43:16<3:04:34, 1.27s/step] Training: 88%|████████▊ | 61296/70000 [21:43:17<3:06:47, 1.29s/step] Training: 88%|████████▊ | 61297/70000 [21:43:18<3:02:25, 1.26s/step] Training: 88%|████████▊ | 61298/70000 [21:43:20<3:07:43, 1.29s/step] Training: 88%|████████▊ | 61299/70000 [21:43:21<3:04:18, 1.27s/step] Training: 88%|████████▊ | 61300/70000 [21:43:22<3:07:13, 1.29s/step]INFO 2026-03-13 17:53:14 ot_train.py:435 step:61K smpl:4M ep:13K epch:51.96 loss:0.007 grdn:0.555 lr:1.9e-06 updt_s:1.249 data_s:0.019 Training: 88%|████████▊ | 61301/70000 [21:43:24<3:08:48, 1.30s/step] Training: 88%|████████▊ | 61302/70000 [21:43:25<3:05:57, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=70969 Training: 88%|████████▊ | 61303/70000 [21:43:26<3:01:35, 1.25s/step] Training: 88%|████████▊ | 61304/70000 [21:43:27<3:04:35, 1.27s/step] Training: 88%|████████▊ | 61305/70000 [21:43:29<3:00:57, 1.25s/step] Training: 88%|████████▊ | 61306/70000 [21:43:30<3:05:31, 1.28s/step] Training: 88%|████████▊ | 61307/70000 [21:43:31<3:02:30, 1.26s/step] Training: 88%|████████▊ | 61308/70000 [21:43:33<3:07:42, 1.30s/step] Training: 88%|████████▊ | 61309/70000 [21:43:34<3:04:37, 1.27s/step] Training: 88%|████████▊ | 61310/70000 [21:43:35<3:10:57, 1.32s/step] Training: 88%|████████▊ | 61311/70000 [21:43:36<3:05:19, 1.28s/step] Training: 88%|████████▊ | 61312/70000 [21:43:38<3:03:11, 1.27s/step] Training: 88%|████████▊ | 61313/70000 [21:43:39<2:59:54, 1.24s/step] Training: 88%|████████▊ | 61314/70000 [21:43:40<3:05:18, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=70969 Training: 88%|████████▊ | 61315/70000 [21:43:41<3:07:15, 1.29s/step] Training: 88%|████████▊ | 61316/70000 [21:43:43<3:08:49, 1.30s/step] Training: 88%|████████▊ | 61317/70000 [21:43:44<3:04:34, 1.28s/step] Training: 88%|████████▊ | 61318/70000 [21:43:45<3:06:55, 1.29s/step] Training: 88%|████████▊ | 61319/70000 [21:43:47<3:02:30, 1.26s/step] Training: 88%|████████▊ | 61320/70000 [21:43:48<3:00:01, 1.24s/step] Training: 88%|████████▊ | 61321/70000 [21:43:49<2:57:28, 1.23s/step] Training: 88%|████████▊ | 61322/70000 [21:43:50<3:03:41, 1.27s/step] Training: 88%|████████▊ | 61323/70000 [21:43:52<3:05:49, 1.28s/step] Training: 88%|████████▊ | 61324/70000 [21:43:53<3:07:28, 1.30s/step] Training: 88%|████████▊ | 61325/70000 [21:43:54<3:08:40, 1.30s/step] Training: 88%|████████▊ | 61326/70000 [21:43:56<3:09:44, 1.31s/step] Training: 88%|████████▊ | 61327/70000 [21:43:57<3:04:28, 1.28s/step] Training: 88%|████████▊ | 61328/70000 [21:43:58<3:07:01, 1.29s/step] Training: 88%|████████▊ | 61329/70000 [21:43:59<3:03:32, 1.27s/step] Training: 88%|████████▊ | 61330/70000 [21:44:01<3:02:32, 1.26s/step] Training: 88%|████████▊ | 61331/70000 [21:44:02<3:00:36, 1.25s/step] Training: 88%|████████▊ | 61332/70000 [21:44:03<3:04:16, 1.28s/step] Training: 88%|████████▊ | 61333/70000 [21:44:04<3:06:32, 1.29s/step] Training: 88%|████████▊ | 61334/70000 [21:44:06<3:08:54, 1.31s/step] Training: 88%|████████▊ | 61335/70000 [21:44:07<3:03:50, 1.27s/step] Training: 88%|████████▊ | 61336/70000 [21:44:08<3:05:42, 1.29s/step] Training: 88%|████████▊ | 61337/70000 [21:44:09<3:01:26, 1.26s/step] Training: 88%|████████▊ | 61338/70000 [21:44:11<2:58:25, 1.24s/step] Training: 88%|████████▊ | 61339/70000 [21:44:12<3:03:47, 1.27s/step] Training: 88%|████████▊ | 61340/70000 [21:44:13<3:07:13, 1.30s/step] Training: 88%|████████▊ | 61341/70000 [21:44:15<3:04:12, 1.28s/step] Training: 88%|████████▊ | 61342/70000 [21:44:16<3:06:33, 1.29s/step] Training: 88%|████████▊ | 61343/70000 [21:44:17<3:01:56, 1.26s/step] Training: 88%|████████▊ | 61344/70000 [21:44:18<3:00:13, 1.25s/step] Training: 88%|████████▊ | 61345/70000 [21:44:20<2:57:31, 1.23s/step] Training: 88%|████████▊ | 61346/70000 [21:44:21<2:55:45, 1.22s/step] Training: 88%|████████▊ | 61347/70000 [21:44:22<3:04:54, 1.28s/step] Training: 88%|████████▊ | 61348/70000 [21:44:24<3:07:03, 1.30s/step] Training: 88%|████████▊ | 61349/70000 [21:44:25<3:03:04, 1.27s/step] Training: 88%|████████▊ | 61350/70000 [21:44:26<3:05:00, 1.28s/step] Training: 88%|████████▊ | 61351/70000 [21:44:27<3:01:29, 1.26s/step] Training: 88%|████████▊ | 61352/70000 [21:44:28<2:59:18, 1.24s/step] Training: 88%|████████▊ | 61353/70000 [21:44:30<2:56:48, 1.23s/step] Training: 88%|████████▊ | 61354/70000 [21:44:31<2:55:09, 1.22s/step] Training: 88%|████████▊ | 61355/70000 [21:44:32<3:03:28, 1.27s/step] Training: 88%|████████▊ | 61356/70000 [21:44:34<3:05:54, 1.29s/step] Training: 88%|████████▊ | 61357/70000 [21:44:35<3:07:58, 1.30s/step] Training: 88%|████████▊ | 61358/70000 [21:44:36<3:09:27, 1.32s/step] Training: 88%|████████▊ | 61359/70000 [21:44:37<3:04:00, 1.28s/step] Training: 88%|████████▊ | 61360/70000 [21:44:40<3:48:18, 1.59s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=8190 Training: 88%|████████▊ | 61361/70000 [21:44:44<5:35:25, 2.33s/step] Training: 88%|████████▊ | 61362/70000 [21:44:45<4:46:14, 1.99s/step] Training: 88%|████████▊ | 61363/70000 [21:44:46<4:15:36, 1.78s/step] Training: 88%|████████▊ | 61364/70000 [21:44:48<4:04:49, 1.70s/step] Training: 88%|████████▊ | 61365/70000 [21:44:49<3:51:08, 1.61s/step] Training: 88%|████████▊ | 61366/70000 [21:44:51<3:45:57, 1.57s/step] Training: 88%|████████▊ | 61367/70000 [21:44:52<3:29:22, 1.46s/step] Training: 88%|████████▊ | 61368/70000 [21:44:53<3:25:32, 1.43s/step] Training: 88%|████████▊ | 61369/70000 [21:44:54<3:15:07, 1.36s/step] Training: 88%|████████▊ | 61370/70000 [21:44:56<3:07:53, 1.31s/step] Training: 88%|████████▊ | 61371/70000 [21:44:57<3:04:17, 1.28s/step] Training: 88%|████████▊ | 61372/70000 [21:44:58<3:12:32, 1.34s/step] Training: 88%|████████▊ | 61373/70000 [21:45:00<3:07:54, 1.31s/step] Training: 88%|████████▊ | 61374/70000 [21:45:01<3:08:43, 1.31s/step] Training: 88%|████████▊ | 61375/70000 [21:45:02<3:03:26, 1.28s/step] Training: 88%|████████▊ | 61376/70000 [21:45:03<3:05:39, 1.29s/step] Training: 88%|████████▊ | 61377/70000 [21:45:05<3:01:26, 1.26s/step] Training: 88%|████████▊ | 61378/70000 [21:45:06<2:57:59, 1.24s/step] Training: 88%|████████▊ | 61379/70000 [21:45:07<3:02:01, 1.27s/step] Training: 88%|████████▊ | 61380/70000 [21:45:08<3:06:12, 1.30s/step] Training: 88%|████████▊ | 61381/70000 [21:45:10<3:02:13, 1.27s/step] Training: 88%|████████▊ | 61382/70000 [21:45:11<3:04:49, 1.29s/step] Training: 88%|████████▊ | 61383/70000 [21:45:12<3:00:42, 1.26s/step] Training: 88%|████████▊ | 61384/70000 [21:45:13<2:58:48, 1.25s/step] Training: 88%|████████▊ | 61385/70000 [21:45:15<2:56:19, 1.23s/step] Training: 88%|████████▊ | 61386/70000 [21:45:16<2:54:45, 1.22s/step] Training: 88%|████████▊ | 61387/70000 [21:45:17<2:59:57, 1.25s/step] Training: 88%|████████▊ | 61388/70000 [21:45:18<3:04:40, 1.29s/step] Training: 88%|████████▊ | 61389/70000 [21:45:20<3:06:00, 1.30s/step] Training: 88%|████████▊ | 61390/70000 [21:45:21<3:07:50, 1.31s/step] Training: 88%|████████▊ | 61391/70000 [21:45:22<3:02:42, 1.27s/step] Training: 88%|████████▊ | 61392/70000 [21:45:24<3:05:16, 1.29s/step] Training: 88%|████████▊ | 61393/70000 [21:45:25<3:00:56, 1.26s/step] Training: 88%|████████▊ | 61394/70000 [21:45:26<2:57:57, 1.24s/step] Training: 88%|████████▊ | 61395/70000 [21:45:27<2:56:15, 1.23s/step] Training: 88%|████████▊ | 61396/70000 [21:45:29<3:00:47, 1.26s/step] Training: 88%|████████▊ | 61397/70000 [21:45:30<3:04:15, 1.29s/step] Training: 88%|████████▊ | 61398/70000 [21:45:31<3:07:21, 1.31s/step] Training: 88%|████████▊ | 61399/70000 [21:45:32<3:02:15, 1.27s/step] Training: 88%|████████▊ | 61400/70000 [21:45:34<3:04:21, 1.29s/step]INFO 2026-03-13 17:55:26 ot_train.py:435 step:61K smpl:4M ep:13K epch:52.04 loss:0.007 grdn:0.682 lr:1.9e-06 updt_s:1.256 data_s:0.057 Training: 88%|████████▊ | 61401/70000 [21:45:35<3:00:10, 1.26s/step] Training: 88%|████████▊ | 61402/70000 [21:45:36<2:57:12, 1.24s/step] Training: 88%|████████▊ | 61403/70000 [21:45:37<2:57:24, 1.24s/step] Training: 88%|████████▊ | 61404/70000 [21:45:39<3:03:21, 1.28s/step] Training: 88%|████████▊ | 61405/70000 [21:45:40<3:05:46, 1.30s/step] Training: 88%|████████▊ | 61406/70000 [21:45:41<3:06:34, 1.30s/step] Training: 88%|████████▊ | 61407/70000 [21:45:43<3:01:52, 1.27s/step] Training: 88%|████████▊ | 61408/70000 [21:45:44<3:04:15, 1.29s/step] Training: 88%|████████▊ | 61409/70000 [21:45:45<3:00:00, 1.26s/step] Training: 88%|████████▊ | 61410/70000 [21:45:46<2:57:02, 1.24s/step] Training: 88%|████████▊ | 61411/70000 [21:45:48<2:55:01, 1.22s/step] Training: 88%|████████▊ | 61412/70000 [21:45:49<3:05:22, 1.30s/step] Training: 88%|████████▊ | 61413/70000 [21:45:50<3:04:11, 1.29s/step] Training: 88%|████████▊ | 61414/70000 [21:45:52<3:05:58, 1.30s/step] Training: 88%|████████▊ | 61415/70000 [21:45:53<3:01:18, 1.27s/step] Training: 88%|████████▊ | 61416/70000 [21:45:54<2:58:33, 1.25s/step] Training: 88%|████████▊ | 61417/70000 [21:45:55<2:56:07, 1.23s/step] Training: 88%|████████▊ | 61418/70000 [21:45:56<2:54:19, 1.22s/step] Training: 88%|████████▊ | 61419/70000 [21:45:58<2:59:18, 1.25s/step] Training: 88%|████████▊ | 61420/70000 [21:45:59<3:03:10, 1.28s/step] Training: 88%|████████▊ | 61421/70000 [21:46:00<3:05:16, 1.30s/step] Training: 88%|████████▊ | 61422/70000 [21:46:02<3:06:26, 1.30s/step] Training: 88%|████████▊ | 61423/70000 [21:46:03<3:01:29, 1.27s/step] Training: 88%|████████▊ | 61424/70000 [21:46:04<3:04:03, 1.29s/step] Training: 88%|████████▊ | 61425/70000 [21:46:05<2:59:51, 1.26s/step] Training: 88%|████████▊ | 61426/70000 [21:46:07<2:56:46, 1.24s/step] Training: 88%|████████▊ | 61427/70000 [21:46:08<3:00:30, 1.26s/step] Training: 88%|████████▊ | 61428/70000 [21:46:09<3:03:36, 1.29s/step] Training: 88%|████████▊ | 61429/70000 [21:46:11<3:06:18, 1.30s/step] Training: 88%|████████▊ | 61430/70000 [21:46:12<3:12:11, 1.35s/step] Training: 88%|████████▊ | 61431/70000 [21:46:13<3:05:32, 1.30s/step] Training: 88%|████████▊ | 61432/70000 [21:46:15<3:06:40, 1.31s/step] Training: 88%|████████▊ | 61433/70000 [21:46:16<3:01:37, 1.27s/step] Training: 88%|████████▊ | 61434/70000 [21:46:17<2:58:08, 1.25s/step] Training: 88%|████████▊ | 61435/70000 [21:46:18<2:56:58, 1.24s/step] Training: 88%|████████▊ | 61436/70000 [21:46:20<3:02:44, 1.28s/step] Training: 88%|████████▊ | 61437/70000 [21:46:21<3:00:36, 1.27s/step] Training: 88%|████████▊ | 61438/70000 [21:46:22<3:06:35, 1.31s/step] Training: 88%|████████▊ | 61439/70000 [21:46:23<3:01:32, 1.27s/step] Training: 88%|████████▊ | 61440/70000 [21:46:25<3:03:33, 1.29s/step] Training: 88%|████████▊ | 61441/70000 [21:46:26<2:59:42, 1.26s/step] Training: 88%|████████▊ | 61442/70000 [21:46:27<2:56:37, 1.24s/step] Training: 88%|████████▊ | 61443/70000 [21:46:28<2:54:30, 1.22s/step] Training: 88%|████████▊ | 61444/70000 [21:46:30<3:05:01, 1.30s/step] Training: 88%|████████▊ | 61445/70000 [21:46:31<3:00:56, 1.27s/step] Training: 88%|████████▊ | 61446/70000 [21:46:32<3:04:28, 1.29s/step] Training: 88%|████████▊ | 61447/70000 [21:46:33<2:59:30, 1.26s/step] Training: 88%|████████▊ | 61448/70000 [21:46:35<2:57:39, 1.25s/step] Training: 88%|████████▊ | 61449/70000 [21:46:36<2:55:08, 1.23s/step] Training: 88%|████████▊ | 61450/70000 [21:46:37<2:53:38, 1.22s/step] Training: 88%|████████▊ | 61451/70000 [21:46:38<2:52:14, 1.21s/step] Training: 88%|████████▊ | 61452/70000 [21:46:40<2:57:46, 1.25s/step] Training: 88%|████████▊ | 61453/70000 [21:46:41<3:01:10, 1.27s/step] Training: 88%|████████▊ | 61454/70000 [21:46:42<3:04:28, 1.30s/step] Training: 88%|████████▊ | 61455/70000 [21:46:43<2:59:26, 1.26s/step] Training: 88%|████████▊ | 61456/70000 [21:46:45<3:02:34, 1.28s/step] Training: 88%|████████▊ | 61457/70000 [21:46:46<2:58:39, 1.25s/step] Training: 88%|████████▊ | 61458/70000 [21:46:47<2:55:45, 1.23s/step] Training: 88%|████████▊ | 61459/70000 [21:46:48<2:55:25, 1.23s/step] Training: 88%|████████▊ | 61460/70000 [21:46:50<2:59:43, 1.26s/step] Training: 88%|████████▊ | 61461/70000 [21:46:51<3:02:36, 1.28s/step] Training: 88%|████████▊ | 61462/70000 [21:46:52<3:07:11, 1.32s/step] Training: 88%|████████▊ | 61463/70000 [21:46:54<3:08:05, 1.32s/step] Training: 88%|████████▊ | 61464/70000 [21:46:55<3:07:54, 1.32s/step] Training: 88%|████████▊ | 61465/70000 [21:46:56<3:02:13, 1.28s/step] Training: 88%|████████▊ | 61466/70000 [21:46:57<2:58:16, 1.25s/step] Training: 88%|████████▊ | 61467/70000 [21:46:59<2:56:24, 1.24s/step] Training: 88%|████████▊ | 61468/70000 [21:47:00<3:01:49, 1.28s/step] Training: 88%|████████▊ | 61469/70000 [21:47:01<2:59:46, 1.26s/step] Training: 88%|████████▊ | 61470/70000 [21:47:03<3:02:28, 1.28s/step] Training: 88%|████████▊ | 61471/70000 [21:47:04<3:05:13, 1.30s/step] Training: 88%|████████▊ | 61472/70000 [21:47:05<3:05:47, 1.31s/step] Training: 88%|████████▊ | 61473/70000 [21:47:06<3:00:44, 1.27s/step] Training: 88%|████████▊ | 61474/70000 [21:47:08<2:57:19, 1.25s/step] Training: 88%|████████▊ | 61475/70000 [21:47:09<2:55:01, 1.23s/step] Training: 88%|████████▊ | 61476/70000 [21:47:10<3:05:06, 1.30s/step] Training: 88%|████████▊ | 61477/70000 [21:47:12<3:01:03, 1.27s/step] Training: 88%|████████▊ | 61478/70000 [21:47:13<3:03:56, 1.30s/step] Training: 88%|████████▊ | 61479/70000 [21:47:14<3:00:06, 1.27s/step] Training: 88%|████████▊ | 61480/70000 [21:47:15<2:57:32, 1.25s/step] Training: 88%|████████▊ | 61481/70000 [21:47:16<2:54:56, 1.23s/step] Training: 88%|████████▊ | 61482/70000 [21:47:18<2:53:19, 1.22s/step] Training: 88%|████████▊ | 61483/70000 [21:47:19<2:57:57, 1.25s/step] Training: 88%|████████▊ | 61484/70000 [21:47:20<3:01:43, 1.28s/step] Training: 88%|████████▊ | 61485/70000 [21:47:22<2:57:50, 1.25s/step] Training: 88%|████████▊ | 61486/70000 [21:47:23<3:05:31, 1.31s/step] Training: 88%|████████▊ | 61487/70000 [21:47:24<3:00:30, 1.27s/step] Training: 88%|████████▊ | 61488/70000 [21:47:26<3:06:50, 1.32s/step] Training: 88%|████████▊ | 61489/70000 [21:47:27<3:01:41, 1.28s/step] Training: 88%|████████▊ | 61490/70000 [21:47:28<2:57:40, 1.25s/step] Training: 88%|████████▊ | 61491/70000 [21:47:29<2:55:36, 1.24s/step] Training: 88%|████████▊ | 61492/70000 [21:47:30<2:59:27, 1.27s/step] Training: 88%|████████▊ | 61493/70000 [21:47:32<2:56:23, 1.24s/step] Training: 88%|████████▊ | 61494/70000 [21:47:33<3:02:38, 1.29s/step] Training: 88%|████████▊ | 61495/70000 [21:47:34<2:58:35, 1.26s/step] Training: 88%|████████▊ | 61496/70000 [21:47:36<3:01:37, 1.28s/step] Training: 88%|████████▊ | 61497/70000 [21:47:37<2:57:48, 1.25s/step] Training: 88%|████████▊ | 61498/70000 [21:47:38<2:55:03, 1.24s/step] Training: 88%|████████▊ | 61499/70000 [21:47:39<2:55:07, 1.24s/step] Training: 88%|████████▊ | 61500/70000 [21:47:41<3:00:30, 1.27s/step]INFO 2026-03-13 17:57:33 ot_train.py:435 step:62K smpl:4M ep:13K epch:52.13 loss:0.008 grdn:0.570 lr:1.9e-06 updt_s:1.247 data_s:0.019 Training: 88%|████████▊ | 61501/70000 [21:47:42<2:56:52, 1.25s/step] Training: 88%|████████▊ | 61502/70000 [21:47:43<2:59:52, 1.27s/step] Training: 88%|████████▊ | 61503/70000 [21:47:44<2:56:22, 1.25s/step] Training: 88%|████████▊ | 61504/70000 [21:47:46<3:01:52, 1.28s/step] Training: 88%|████████▊ | 61505/70000 [21:47:47<2:57:52, 1.26s/step] Training: 88%|████████▊ | 61506/70000 [21:47:48<2:54:57, 1.24s/step] Training: 88%|████████▊ | 61507/70000 [21:47:49<2:52:56, 1.22s/step] Training: 88%|████████▊ | 61508/70000 [21:47:51<3:04:31, 1.30s/step] Training: 88%|████████▊ | 61509/70000 [21:47:52<2:59:50, 1.27s/step] Training: 88%|████████▊ | 61510/70000 [21:47:53<3:02:48, 1.29s/step] Training: 88%|████████▊ | 61511/70000 [21:47:54<2:58:18, 1.26s/step] Training: 88%|████████▊ | 61512/70000 [21:47:56<2:58:33, 1.26s/step] Training: 88%|████████▊ | 61513/70000 [21:47:57<2:57:58, 1.26s/step] Training: 88%|████████▊ | 61514/70000 [21:47:58<2:55:00, 1.24s/step] Training: 88%|████████▊ | 61515/70000 [21:47:59<2:52:55, 1.22s/step] Training: 88%|████████▊ | 61516/70000 [21:48:01<3:03:43, 1.30s/step] Training: 88%|████████▊ | 61517/70000 [21:48:02<2:59:10, 1.27s/step] Training: 88%|████████▊ | 61518/70000 [21:48:03<3:05:32, 1.31s/step] Training: 88%|████████▊ | 61519/70000 [21:48:05<3:00:23, 1.28s/step] Training: 88%|████████▊ | 61520/70000 [21:48:06<3:02:37, 1.29s/step] Training: 88%|████████▊ | 61521/70000 [21:48:07<3:05:40, 1.31s/step] Training: 88%|████████▊ | 61522/70000 [21:48:08<2:59:52, 1.27s/step] Training: 88%|████████▊ | 61523/70000 [21:48:10<2:58:30, 1.26s/step] Training: 88%|████████▊ | 61524/70000 [21:48:11<3:02:03, 1.29s/step] Training: 88%|████████▊ | 61525/70000 [21:48:12<2:57:53, 1.26s/step] Training: 88%|████████▊ | 61526/70000 [21:48:14<3:02:23, 1.29s/step] Training: 88%|████████▊ | 61527/70000 [21:48:15<2:58:00, 1.26s/step] Training: 88%|████████▊ | 61528/70000 [21:48:16<2:55:24, 1.24s/step] Training: 88%|████████▊ | 61529/70000 [21:48:17<2:56:41, 1.25s/step] Training: 88%|████████▊ | 61530/70000 [21:48:18<2:54:00, 1.23s/step] Training: 88%|████████▊ | 61531/70000 [21:48:20<2:53:11, 1.23s/step] Training: 88%|████████▊ | 61532/70000 [21:48:21<2:59:16, 1.27s/step] Training: 88%|████████▊ | 61533/70000 [21:48:22<2:55:51, 1.25s/step] Training: 88%|████████▊ | 61534/70000 [21:48:23<2:54:35, 1.24s/step] Training: 88%|████████▊ | 61535/70000 [21:48:25<2:52:42, 1.22s/step] Training: 88%|████████▊ | 61536/70000 [21:48:26<2:53:09, 1.23s/step] Training: 88%|████████▊ | 61537/70000 [21:48:27<2:51:32, 1.22s/step] Training: 88%|████████▊ | 61538/70000 [21:48:28<2:56:51, 1.25s/step] Training: 88%|████████▊ | 61539/70000 [21:48:30<3:00:11, 1.28s/step] Training: 88%|████████▊ | 61540/70000 [21:48:31<3:02:43, 1.30s/step] Training: 88%|████████▊ | 61541/70000 [21:48:32<2:58:18, 1.26s/step] Training: 88%|████████▊ | 61542/70000 [21:48:34<3:06:20, 1.32s/step] Training: 88%|████████▊ | 61543/70000 [21:48:35<3:00:40, 1.28s/step] Training: 88%|████████▊ | 61544/70000 [21:48:36<2:56:45, 1.25s/step] Training: 88%|████████▊ | 61545/70000 [21:48:38<3:06:21, 1.32s/step] Training: 88%|████████▊ | 61546/70000 [21:48:39<3:00:13, 1.28s/step] Training: 88%|████████▊ | 61547/70000 [21:48:40<3:02:53, 1.30s/step] Training: 88%|████████▊ | 61548/70000 [21:48:41<3:03:56, 1.31s/step] Training: 88%|████████▊ | 61549/70000 [21:48:43<2:58:56, 1.27s/step] Training: 88%|████████▊ | 61550/70000 [21:48:44<3:01:49, 1.29s/step] Training: 88%|████████▊ | 61551/70000 [21:48:45<2:57:31, 1.26s/step] Training: 88%|████████▊ | 61552/70000 [21:48:46<3:00:07, 1.28s/step] Training: 88%|████████▊ | 61553/70000 [21:48:48<2:56:21, 1.25s/step] Training: 88%|████████▊ | 61554/70000 [21:48:49<3:00:21, 1.28s/step] Training: 88%|████████▊ | 61555/70000 [21:48:50<2:57:54, 1.26s/step] Training: 88%|████████▊ | 61556/70000 [21:48:52<3:00:56, 1.29s/step] Training: 88%|████████▊ | 61557/70000 [21:48:53<2:57:01, 1.26s/step] Training: 88%|████████▊ | 61558/70000 [21:48:54<3:01:33, 1.29s/step] Training: 88%|████████▊ | 61559/70000 [21:48:55<2:57:15, 1.26s/step] Training: 88%|████████▊ | 61560/70000 [21:48:57<2:54:48, 1.24s/step] Training: 88%|████████▊ | 61561/70000 [21:48:58<2:52:30, 1.23s/step] Training: 88%|████████▊ | 61562/70000 [21:48:59<2:57:40, 1.26s/step] Training: 88%|████████▊ | 61563/70000 [21:49:00<2:54:57, 1.24s/step] Training: 88%|████████▊ | 61564/70000 [21:49:02<3:00:16, 1.28s/step] Training: 88%|████████▊ | 61565/70000 [21:49:03<2:56:32, 1.26s/step] Training: 88%|████████▊ | 61566/70000 [21:49:04<3:01:03, 1.29s/step] Training: 88%|████████▊ | 61567/70000 [21:49:05<2:57:12, 1.26s/step] Training: 88%|████████▊ | 61568/70000 [21:49:07<2:56:03, 1.25s/step] Training: 88%|████████▊ | 61569/70000 [21:49:08<2:53:21, 1.23s/step] Training: 88%|████████▊ | 61570/70000 [21:49:09<2:51:59, 1.22s/step] Training: 88%|████████▊ | 61571/70000 [21:49:10<2:56:11, 1.25s/step] Training: 88%|████████▊ | 61572/70000 [21:49:12<2:59:19, 1.28s/step] Training: 88%|████████▊ | 61573/70000 [21:49:13<2:55:47, 1.25s/step] Training: 88%|████████▊ | 61574/70000 [21:49:14<3:04:46, 1.32s/step] Training: 88%|████████▊ | 61575/70000 [21:49:16<2:59:23, 1.28s/step] Training: 88%|████████▊ | 61576/70000 [21:49:17<2:55:49, 1.25s/step] Training: 88%|████████▊ | 61577/70000 [21:49:18<2:58:01, 1.27s/step] Training: 88%|████████▊ | 61578/70000 [21:49:19<2:57:34, 1.27s/step] Training: 88%|████████▊ | 61579/70000 [21:49:21<3:00:30, 1.29s/step] Training: 88%|████████▊ | 61580/70000 [21:49:22<3:02:35, 1.30s/step] Training: 88%|████████▊ | 61581/70000 [21:49:23<2:57:55, 1.27s/step] Training: 88%|████████▊ | 61582/70000 [21:49:24<3:00:32, 1.29s/step] Training: 88%|████████▊ | 61583/70000 [21:49:26<2:56:22, 1.26s/step] Training: 88%|████████▊ | 61584/70000 [21:49:27<2:53:31, 1.24s/step] Training: 88%|████████▊ | 61585/70000 [21:49:28<2:51:33, 1.22s/step] Training: 88%|████████▊ | 61586/70000 [21:49:29<2:51:59, 1.23s/step] Training: 88%|████████▊ | 61587/70000 [21:49:30<2:51:42, 1.22s/step] Training: 88%|████████▊ | 61588/70000 [21:49:32<2:57:17, 1.26s/step] Training: 88%|████████▊ | 61589/70000 [21:49:33<2:59:16, 1.28s/step] Training: 88%|████████▊ | 61590/70000 [21:49:35<3:03:28, 1.31s/step] Training: 88%|████████▊ | 61591/70000 [21:49:36<2:58:25, 1.27s/step] Training: 88%|████████▊ | 61592/70000 [21:49:37<2:56:17, 1.26s/step] Training: 88%|████████▊ | 61593/70000 [21:49:38<2:53:21, 1.24s/step] Training: 88%|████████▊ | 61594/70000 [21:49:39<2:51:27, 1.22s/step] Training: 88%|████████▊ | 61595/70000 [21:49:41<2:56:23, 1.26s/step] Training: 88%|████████▊ | 61596/70000 [21:49:42<2:59:57, 1.28s/step] Training: 88%|████████▊ | 61597/70000 [21:49:43<3:00:42, 1.29s/step] Training: 88%|████████▊ | 61598/70000 [21:49:45<3:02:31, 1.30s/step] Training: 88%|████████▊ | 61599/70000 [21:49:46<2:57:40, 1.27s/step] Training: 88%|████████▊ | 61600/70000 [21:49:47<2:55:19, 1.25s/step]INFO 2026-03-13 17:59:39 ot_train.py:435 step:62K smpl:4M ep:13K epch:52.21 loss:0.007 grdn:0.702 lr:1.9e-06 updt_s:1.244 data_s:0.019 Training: 88%|████████▊ | 61601/70000 [21:49:48<2:52:37, 1.23s/step] Training: 88%|████████▊ | 61602/70000 [21:49:49<2:50:48, 1.22s/step] Training: 88%|████████▊ | 61603/70000 [21:49:51<2:53:00, 1.24s/step] Training: 88%|████████▊ | 61604/70000 [21:49:52<3:03:59, 1.31s/step] Training: 88%|████████▊ | 61605/70000 [21:49:53<2:58:50, 1.28s/step] Training: 88%|████████▊ | 61606/70000 [21:49:55<3:01:54, 1.30s/step] Training: 88%|████████▊ | 61607/70000 [21:49:56<2:57:24, 1.27s/step] Training: 88%|████████▊ | 61608/70000 [21:49:57<2:59:34, 1.28s/step] Training: 88%|████████▊ | 61609/70000 [21:49:58<2:55:35, 1.26s/step] Training: 88%|████████▊ | 61610/70000 [21:50:00<2:52:52, 1.24s/step] Training: 88%|████████▊ | 61611/70000 [21:50:01<2:56:46, 1.26s/step] Training: 88%|████████▊ | 61612/70000 [21:50:02<3:00:09, 1.29s/step] Training: 88%|████████▊ | 61613/70000 [21:50:04<3:00:32, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=8190 Training: 88%|████████▊ | 61614/70000 [21:50:05<3:02:35, 1.31s/step] Training: 88%|████████▊ | 61615/70000 [21:50:06<2:57:46, 1.27s/step] Training: 88%|████████▊ | 61616/70000 [21:50:07<3:00:01, 1.29s/step] Training: 88%|████████▊ | 61617/70000 [21:50:09<2:55:47, 1.26s/step] Training: 88%|████████▊ | 61618/70000 [21:50:10<2:53:05, 1.24s/step] Training: 88%|████████▊ | 61619/70000 [21:50:11<3:00:14, 1.29s/step] Training: 88%|████████▊ | 61620/70000 [21:50:13<3:03:33, 1.31s/step] Training: 88%|████████▊ | 61621/70000 [21:50:14<3:05:21, 1.33s/step] Training: 88%|████████▊ | 61622/70000 [21:50:15<3:02:30, 1.31s/step] Training: 88%|████████▊ | 61623/70000 [21:50:16<2:58:03, 1.28s/step] Training: 88%|████████▊ | 61624/70000 [21:50:18<2:55:30, 1.26s/step] Training: 88%|████████▊ | 61625/70000 [21:50:19<2:52:34, 1.24s/step] Training: 88%|████████▊ | 61626/70000 [21:50:20<2:50:40, 1.22s/step] Training: 88%|████████▊ | 61627/70000 [21:50:21<2:51:05, 1.23s/step] Training: 88%|████████▊ | 61628/70000 [21:50:23<2:59:30, 1.29s/step] Training: 88%|████████▊ | 61629/70000 [21:50:24<2:56:10, 1.26s/step] Training: 88%|████████▊ | 61630/70000 [21:50:25<2:58:58, 1.28s/step] Training: 88%|████████▊ | 61631/70000 [21:50:26<2:54:57, 1.25s/step] Training: 88%|████████▊ | 61632/70000 [21:50:28<2:53:10, 1.24s/step] Training: 88%|████████▊ | 61633/70000 [21:50:29<2:51:02, 1.23s/step] Training: 88%|████████▊ | 61634/70000 [21:50:30<2:49:32, 1.22s/step] Training: 88%|████████▊ | 61635/70000 [21:50:31<2:48:35, 1.21s/step] Training: 88%|████████▊ | 61636/70000 [21:50:33<3:01:19, 1.30s/step] Training: 88%|████████▊ | 61637/70000 [21:50:34<3:02:23, 1.31s/step] Training: 88%|████████▊ | 61638/70000 [21:50:35<3:03:15, 1.31s/step] Training: 88%|████████▊ | 61639/70000 [21:50:37<2:57:54, 1.28s/step] Training: 88%|████████▊ | 61640/70000 [21:50:38<3:00:06, 1.29s/step] Training: 88%|████████▊ | 61641/70000 [21:50:39<2:55:40, 1.26s/step] Training: 88%|████████▊ | 61642/70000 [21:50:40<2:52:32, 1.24s/step] Training: 88%|████████▊ | 61643/70000 [21:50:41<2:50:22, 1.22s/step] Training: 88%|████████▊ | 61644/70000 [21:50:43<2:49:37, 1.22s/step] Training: 88%|████████▊ | 61645/70000 [21:50:44<2:54:28, 1.25s/step] Training: 88%|████████▊ | 61646/70000 [21:50:45<2:58:00, 1.28s/step] Training: 88%|████████▊ | 61647/70000 [21:50:47<2:54:12, 1.25s/step] Training: 88%|████████▊ | 61648/70000 [21:50:48<2:57:44, 1.28s/step] Training: 88%|████████▊ | 61649/70000 [21:50:49<2:54:04, 1.25s/step] Training: 88%|████████▊ | 61650/70000 [21:50:50<2:51:33, 1.23s/step] Training: 88%|████████▊ | 61651/70000 [21:50:51<2:51:24, 1.23s/step] Training: 88%|████████▊ | 61652/70000 [21:50:53<2:57:33, 1.28s/step] Training: 88%|████████▊ | 61653/70000 [21:50:54<3:00:05, 1.29s/step] Training: 88%|████████▊ | 61654/70000 [21:50:55<2:58:28, 1.28s/step] Training: 88%|████████▊ | 61655/70000 [21:50:57<2:54:32, 1.25s/step] Training: 88%|████████▊ | 61656/70000 [21:50:58<2:53:01, 1.24s/step] Training: 88%|████████▊ | 61657/70000 [21:50:59<2:50:39, 1.23s/step] Training: 88%|████████▊ | 61658/70000 [21:51:00<2:48:58, 1.22s/step] Training: 88%|████████▊ | 61659/70000 [21:51:01<2:49:13, 1.22s/step] Training: 88%|████████▊ | 61660/70000 [21:51:03<2:53:49, 1.25s/step] Training: 88%|████████▊ | 61661/70000 [21:51:04<2:52:25, 1.24s/step] Training: 88%|████████▊ | 61662/70000 [21:51:05<2:56:12, 1.27s/step] Training: 88%|████████▊ | 61663/70000 [21:51:07<2:52:50, 1.24s/step] Training: 88%|████████▊ | 61664/70000 [21:51:08<2:51:16, 1.23s/step] Training: 88%|████████▊ | 61665/70000 [21:51:09<2:49:22, 1.22s/step] Training: 88%|████████▊ | 61666/70000 [21:51:10<2:48:05, 1.21s/step] Training: 88%|████████▊ | 61667/70000 [21:51:11<2:47:07, 1.20s/step] Training: 88%|████████▊ | 61668/70000 [21:51:13<2:52:16, 1.24s/step] Training: 88%|████████▊ | 61669/70000 [21:51:14<2:59:36, 1.29s/step] Training: 88%|████████▊ | 61670/70000 [21:51:15<3:01:28, 1.31s/step] Training: 88%|████████▊ | 61671/70000 [21:51:17<2:56:34, 1.27s/step] Training: 88%|████████▊ | 61672/70000 [21:51:18<2:58:36, 1.29s/step] Training: 88%|████████▊ | 61673/70000 [21:51:19<2:54:27, 1.26s/step] Training: 88%|████████▊ | 61674/70000 [21:51:20<2:51:37, 1.24s/step] Training: 88%|████████▊ | 61675/70000 [21:51:21<2:49:44, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=59316 Training: 88%|████████▊ | 61676/70000 [21:51:23<2:49:59, 1.23s/step] Training: 88%|████████▊ | 61677/70000 [21:51:24<2:57:14, 1.28s/step] Training: 88%|████████▊ | 61678/70000 [21:51:25<2:59:23, 1.29s/step] Training: 88%|████████▊ | 61679/70000 [21:51:27<2:55:04, 1.26s/step] Training: 88%|████████▊ | 61680/70000 [21:51:28<2:57:31, 1.28s/step] Training: 88%|████████▊ | 61681/70000 [21:51:29<2:53:40, 1.25s/step] Training: 88%|████████▊ | 61682/70000 [21:51:30<2:51:02, 1.23s/step] Training: 88%|████████▊ | 61683/70000 [21:51:32<2:51:11, 1.23s/step] Training: 88%|████████▊ | 61684/70000 [21:51:33<2:55:10, 1.26s/step] Training: 88%|████████▊ | 61685/70000 [21:51:34<2:57:31, 1.28s/step] Training: 88%|████████▊ | 61686/70000 [21:51:36<3:00:27, 1.30s/step] Training: 88%|████████▊ | 61687/70000 [21:51:37<2:55:20, 1.27s/step] Training: 88%|████████▊ | 61688/70000 [21:51:38<2:53:55, 1.26s/step] Training: 88%|████████▊ | 61689/70000 [21:51:39<2:51:09, 1.24s/step] Training: 88%|████████▊ | 61690/70000 [21:51:40<2:49:18, 1.22s/step] Training: 88%|████████▊ | 61691/70000 [21:51:42<2:48:43, 1.22s/step] Training: 88%|████████▊ | 61692/70000 [21:51:43<2:53:12, 1.25s/step] Training: 88%|████████▊ | 61693/70000 [21:51:44<2:57:32, 1.28s/step] Training: 88%|████████▊ | 61694/70000 [21:51:46<2:58:42, 1.29s/step] Training: 88%|████████▊ | 61695/70000 [21:51:47<2:54:27, 1.26s/step] Training: 88%|████████▊ | 61696/70000 [21:51:48<2:52:06, 1.24s/step] Training: 88%|████████▊ | 61697/70000 [21:51:49<2:49:52, 1.23s/step] Training: 88%|████████▊ | 61698/70000 [21:51:50<2:48:17, 1.22s/step] Training: 88%|████████▊ | 61699/70000 [21:51:52<2:53:07, 1.25s/step] Training: 88%|████████▊ | 61700/70000 [21:51:53<2:52:25, 1.25s/step]INFO 2026-03-13 18:01:45 ot_train.py:435 step:62K smpl:4M ep:13K epch:52.30 loss:0.007 grdn:0.580 lr:1.8e-06 updt_s:1.237 data_s:0.019 Training: 88%|████████▊ | 61701/70000 [21:51:54<2:55:25, 1.27s/step] Training: 88%|████████▊ | 61702/70000 [21:51:56<3:02:53, 1.32s/step] Training: 88%|████████▊ | 61703/70000 [21:51:57<2:57:26, 1.28s/step] Training: 88%|████████▊ | 61704/70000 [21:51:58<2:59:20, 1.30s/step] Training: 88%|████████▊ | 61705/70000 [21:51:59<2:54:53, 1.27s/step] Training: 88%|████████▊ | 61706/70000 [21:52:01<2:51:57, 1.24s/step] Training: 88%|████████▊ | 61707/70000 [21:52:02<2:55:36, 1.27s/step] Training: 88%|████████▊ | 61708/70000 [21:52:03<2:54:16, 1.26s/step] Training: 88%|████████▊ | 61709/70000 [21:52:04<2:57:03, 1.28s/step] Training: 88%|████████▊ | 61710/70000 [21:52:06<3:04:30, 1.34s/step] Training: 88%|████████▊ | 61711/70000 [21:52:07<2:58:26, 1.29s/step] Training: 88%|████████▊ | 61712/70000 [21:52:08<2:59:44, 1.30s/step] Training: 88%|████████▊ | 61713/70000 [21:52:10<2:55:14, 1.27s/step] Training: 88%|████████▊ | 61714/70000 [21:52:11<2:51:51, 1.24s/step] Training: 88%|████████▊ | 61715/70000 [21:52:12<2:51:39, 1.24s/step] Training: 88%|████████▊ | 61716/70000 [21:52:13<2:49:15, 1.23s/step] Training: 88%|████████▊ | 61717/70000 [21:52:15<2:58:10, 1.29s/step] Training: 88%|████████▊ | 61718/70000 [21:52:16<2:57:22, 1.28s/step] Training: 88%|████████▊ | 61719/70000 [21:52:17<2:52:54, 1.25s/step] Training: 88%|████████▊ | 61720/70000 [21:52:18<2:52:43, 1.25s/step] Training: 88%|████████▊ | 61721/70000 [21:52:20<2:50:14, 1.23s/step] Training: 88%|████████▊ | 61722/70000 [21:52:21<2:48:19, 1.22s/step] Training: 88%|████████▊ | 61723/70000 [21:52:22<2:47:37, 1.22s/step] Training: 88%|████████▊ | 61724/70000 [21:52:23<2:46:41, 1.21s/step] Training: 88%|████████▊ | 61725/70000 [21:52:24<2:49:41, 1.23s/step] Training: 88%|████████▊ | 61726/70000 [21:52:26<2:56:21, 1.28s/step] Training: 88%|████████▊ | 61727/70000 [21:52:27<2:52:31, 1.25s/step] Training: 88%|████████▊ | 61728/70000 [21:52:28<2:50:32, 1.24s/step] Training: 88%|████████▊ | 61729/70000 [21:52:29<2:48:43, 1.22s/step] Training: 88%|████████▊ | 61730/70000 [21:52:31<2:47:21, 1.21s/step] Training: 88%|████████▊ | 61731/70000 [21:52:32<2:52:09, 1.25s/step] Training: 88%|████████▊ | 61732/70000 [21:52:33<2:49:47, 1.23s/step] Training: 88%|████████▊ | 61733/70000 [21:52:34<2:53:30, 1.26s/step] Training: 88%|████████▊ | 61734/70000 [21:52:36<2:56:51, 1.28s/step] Training: 88%|████████▊ | 61735/70000 [21:52:37<2:53:00, 1.26s/step] Training: 88%|████████▊ | 61736/70000 [21:52:38<2:55:51, 1.28s/step] Training: 88%|████████▊ | 61737/70000 [21:52:40<2:52:12, 1.25s/step] Training: 88%|████████▊ | 61738/70000 [21:52:41<2:49:51, 1.23s/step] Training: 88%|████████▊ | 61739/70000 [21:52:42<2:53:52, 1.26s/step] Training: 88%|████████▊ | 61740/70000 [21:52:43<2:51:01, 1.24s/step] Training: 88%|████████▊ | 61741/70000 [21:52:45<2:54:39, 1.27s/step] Training: 88%|████████▊ | 61742/70000 [21:52:46<2:58:41, 1.30s/step] Training: 88%|████████▊ | 61743/70000 [21:52:47<3:00:15, 1.31s/step] Training: 88%|████████▊ | 61744/70000 [21:52:49<3:00:55, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=29362 Training: 88%|████████▊ | 61745/70000 [21:52:50<2:55:43, 1.28s/step] Training: 88%|████████▊ | 61746/70000 [21:52:51<2:52:01, 1.25s/step] Training: 88%|████████▊ | 61747/70000 [21:52:52<2:51:18, 1.25s/step] Training: 88%|████████▊ | 61748/70000 [21:52:53<2:48:55, 1.23s/step] Training: 88%|████████▊ | 61749/70000 [21:52:55<2:53:30, 1.26s/step] Training: 88%|████████▊ | 61750/70000 [21:52:56<2:53:38, 1.26s/step] Training: 88%|████████▊ | 61751/70000 [21:52:57<2:54:51, 1.27s/step] Training: 88%|████████▊ | 61752/70000 [21:52:59<2:52:41, 1.26s/step] Training: 88%|████████▊ | 61753/70000 [21:53:00<2:49:46, 1.24s/step] Training: 88%|████████▊ | 61754/70000 [21:53:01<2:47:50, 1.22s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=69282 Training: 88%|████████▊ | 61755/70000 [21:53:02<2:47:16, 1.22s/step] Training: 88%|████████▊ | 61756/70000 [21:53:03<2:46:06, 1.21s/step] Training: 88%|████████▊ | 61757/70000 [21:53:05<2:50:43, 1.24s/step] Training: 88%|████████▊ | 61758/70000 [21:53:06<2:53:53, 1.27s/step] Training: 88%|████████▊ | 61759/70000 [21:53:07<2:57:18, 1.29s/step] Training: 88%|████████▊ | 61760/70000 [21:53:08<2:52:49, 1.26s/step] Training: 88%|████████▊ | 61761/70000 [21:53:10<2:49:58, 1.24s/step] Training: 88%|████████▊ | 61762/70000 [21:53:11<2:48:02, 1.22s/step] Training: 88%|████████▊ | 61763/70000 [21:53:12<2:52:06, 1.25s/step] Training: 88%|████████▊ | 61764/70000 [21:53:13<2:49:28, 1.23s/step] Training: 88%|████████▊ | 61765/70000 [21:53:15<2:53:38, 1.27s/step] Training: 88%|████████▊ | 61766/70000 [21:53:16<2:56:45, 1.29s/step] Training: 88%|████████▊ | 61767/70000 [21:53:17<3:00:11, 1.31s/step] Training: 88%|████████▊ | 61768/70000 [21:53:19<3:00:03, 1.31s/step] Training: 88%|████████▊ | 61769/70000 [21:53:20<2:54:53, 1.27s/step] Training: 88%|████████▊ | 61770/70000 [21:53:21<2:51:18, 1.25s/step] Training: 88%|████████▊ | 61771/70000 [21:53:22<2:55:04, 1.28s/step] Training: 88%|████████▊ | 61772/70000 [21:53:24<2:51:22, 1.25s/step] Training: 88%|████████▊ | 61773/70000 [21:53:25<2:54:28, 1.27s/step] Training: 88%|████████▊ | 61774/70000 [21:53:26<2:58:06, 1.30s/step] Training: 88%|████████▊ | 61775/70000 [21:53:27<2:53:36, 1.27s/step] Training: 88%|████████▊ | 61776/70000 [21:53:29<3:00:50, 1.32s/step] Training: 88%|████████▊ | 61777/70000 [21:53:30<2:55:20, 1.28s/step] Training: 88%|████████▊ | 61778/70000 [21:53:31<2:51:29, 1.25s/step] Training: 88%|████████▊ | 61779/70000 [21:53:33<2:50:42, 1.25s/step] Training: 88%|████████▊ | 61780/70000 [21:53:34<2:48:14, 1.23s/step] Training: 88%|████████▊ | 61781/70000 [21:53:35<2:53:06, 1.26s/step] Training: 88%|████████▊ | 61782/70000 [21:53:36<2:52:43, 1.26s/step] Training: 88%|████████▊ | 61783/70000 [21:53:38<2:49:45, 1.24s/step] Training: 88%|████████▊ | 61784/70000 [21:53:39<2:54:29, 1.27s/step] Training: 88%|████████▊ | 61785/70000 [21:53:40<2:50:39, 1.25s/step] Training: 88%|████████▊ | 61786/70000 [21:53:41<2:48:23, 1.23s/step] Training: 88%|████████▊ | 61787/70000 [21:53:42<2:47:17, 1.22s/step] Training: 88%|████████▊ | 61788/70000 [21:53:44<2:46:01, 1.21s/step] Training: 88%|████████▊ | 61789/70000 [21:53:45<2:50:54, 1.25s/step] Training: 88%|████████▊ | 61790/70000 [21:53:46<2:54:14, 1.27s/step] Training: 88%|████████▊ | 61791/70000 [21:53:48<2:51:00, 1.25s/step] Training: 88%|████████▊ | 61792/70000 [21:53:49<2:49:56, 1.24s/step] Training: 88%|████████▊ | 61793/70000 [21:53:50<2:47:38, 1.23s/step] Training: 88%|████████▊ | 61794/70000 [21:53:51<2:46:10, 1.22s/step] Training: 88%|████████▊ | 61795/70000 [21:53:52<2:45:02, 1.21s/step] Training: 88%|████████▊ | 61796/70000 [21:53:54<2:49:36, 1.24s/step] Training: 88%|████████▊ | 61797/70000 [21:53:55<2:53:19, 1.27s/step] Training: 88%|████████▊ | 61798/70000 [21:53:56<2:56:03, 1.29s/step] Training: 88%|████████▊ | 61799/70000 [21:53:57<2:51:55, 1.26s/step] Training: 88%|████████▊ | 61800/70000 [21:53:59<2:54:22, 1.28s/step]INFO 2026-03-13 18:03:51 ot_train.py:435 step:62K smpl:4M ep:13K epch:52.38 loss:0.008 grdn:1.077 lr:1.8e-06 updt_s:1.237 data_s:0.019 Training: 88%|████████▊ | 61801/70000 [21:54:00<2:50:46, 1.25s/step] Training: 88%|████████▊ | 61802/70000 [21:54:01<2:48:16, 1.23s/step] Training: 88%|████████▊ | 61803/70000 [21:54:02<2:46:29, 1.22s/step] Training: 88%|████████▊ | 61804/70000 [21:54:04<2:45:16, 1.21s/step] Training: 88%|████████▊ | 61805/70000 [21:54:05<2:50:29, 1.25s/step] Training: 88%|████████▊ | 61806/70000 [21:54:06<2:55:21, 1.28s/step] Training: 88%|████████▊ | 61807/70000 [21:54:07<2:51:30, 1.26s/step] Training: 88%|████████▊ | 61808/70000 [21:54:09<2:54:35, 1.28s/step] Training: 88%|████████▊ | 61809/70000 [21:54:10<2:57:27, 1.30s/step] Training: 88%|████████▊ | 61810/70000 [21:54:11<2:52:33, 1.26s/step] Training: 88%|████████▊ | 61811/70000 [21:54:13<2:51:16, 1.25s/step] Training: 88%|████████▊ | 61812/70000 [21:54:14<2:48:34, 1.24s/step] Training: 88%|████████▊ | 61813/70000 [21:54:15<2:52:37, 1.27s/step] Training: 88%|████████▊ | 61814/70000 [21:54:16<2:54:54, 1.28s/step] Training: 88%|████████▊ | 61815/70000 [21:54:18<2:51:13, 1.26s/step] Training: 88%|████████▊ | 61816/70000 [21:54:19<2:49:53, 1.25s/step] Training: 88%|████████▊ | 61817/70000 [21:54:20<2:50:16, 1.25s/step] Training: 88%|████████▊ | 61818/70000 [21:54:21<2:47:46, 1.23s/step] Training: 88%|████████▊ | 61819/70000 [21:54:22<2:46:49, 1.22s/step] Training: 88%|████████▊ | 61820/70000 [21:54:24<2:45:32, 1.21s/step] Training: 88%|████████▊ | 61821/70000 [21:54:25<2:45:11, 1.21s/step] Training: 88%|████████▊ | 61822/70000 [21:54:26<2:54:37, 1.28s/step] Training: 88%|████████▊ | 61823/70000 [21:54:27<2:50:56, 1.25s/step] Training: 88%|████████▊ | 61824/70000 [21:54:29<2:49:19, 1.24s/step] Training: 88%|████████▊ | 61825/70000 [21:54:30<2:47:16, 1.23s/step] Training: 88%|████████▊ | 61826/70000 [21:54:31<2:52:09, 1.26s/step] Training: 88%|████████▊ | 61827/70000 [21:54:33<2:54:19, 1.28s/step] Training: 88%|████████▊ | 61828/70000 [21:54:34<2:50:49, 1.25s/step] Training: 88%|████████▊ | 61829/70000 [21:54:35<2:54:14, 1.28s/step] Training: 88%|████████▊ | 61830/70000 [21:54:36<2:56:47, 1.30s/step] Training: 88%|████████▊ | 61831/70000 [21:54:38<2:52:13, 1.27s/step] Training: 88%|████████▊ | 61832/70000 [21:54:39<2:54:54, 1.28s/step] Training: 88%|████████▊ | 61833/70000 [21:54:40<2:58:03, 1.31s/step] Training: 88%|████████▊ | 61834/70000 [21:54:41<2:52:44, 1.27s/step] Training: 88%|████████▊ | 61835/70000 [21:54:43<2:55:26, 1.29s/step] Training: 88%|████████▊ | 61836/70000 [21:54:44<2:51:26, 1.26s/step] Training: 88%|████████▊ | 61837/70000 [21:54:45<2:54:07, 1.28s/step] Training: 88%|████████▊ | 61838/70000 [21:54:47<2:57:25, 1.30s/step] Training: 88%|████████▊ | 61839/70000 [21:54:48<2:52:53, 1.27s/step] Training: 88%|████████▊ | 61840/70000 [21:54:49<2:54:55, 1.29s/step] Training: 88%|████████▊ | 61841/70000 [21:54:50<2:51:07, 1.26s/step] Training: 88%|████████▊ | 61842/70000 [21:54:52<2:54:40, 1.28s/step] Training: 88%|████████▊ | 61843/70000 [21:54:53<2:51:53, 1.26s/step] Training: 88%|████████▊ | 61844/70000 [21:54:54<2:48:56, 1.24s/step] Training: 88%|████████▊ | 61845/70000 [21:54:55<2:52:20, 1.27s/step] Training: 88%|████████▊ | 61846/70000 [21:54:57<2:52:12, 1.27s/step] Training: 88%|████████▊ | 61847/70000 [21:54:58<2:48:56, 1.24s/step] Training: 88%|████████▊ | 61848/70000 [21:54:59<2:48:19, 1.24s/step] Training: 88%|████████▊ | 61849/70000 [21:55:00<2:46:11, 1.22s/step] Training: 88%|████████▊ | 61850/70000 [21:55:02<2:51:44, 1.26s/step] Training: 88%|████████▊ | 61851/70000 [21:55:03<2:49:09, 1.25s/step] Training: 88%|████████▊ | 61852/70000 [21:55:04<2:47:00, 1.23s/step] Training: 88%|████████▊ | 61853/70000 [21:55:05<2:46:14, 1.22s/step] Training: 88%|████████▊ | 61854/70000 [21:55:07<2:50:43, 1.26s/step] Training: 88%|████████▊ | 61855/70000 [21:55:08<2:47:54, 1.24s/step] Training: 88%|████████▊ | 61856/70000 [21:55:09<2:46:39, 1.23s/step] Training: 88%|████████▊ | 61857/70000 [21:55:10<2:45:06, 1.22s/step] Training: 88%|████████▊ | 61858/70000 [21:55:11<2:44:14, 1.21s/step] Training: 88%|████████▊ | 61859/70000 [21:55:13<2:49:20, 1.25s/step] Training: 88%|████████▊ | 61860/70000 [21:55:14<2:47:05, 1.23s/step] Training: 88%|████████▊ | 61861/70000 [21:55:15<2:51:09, 1.26s/step] Training: 88%|████████▊ | 61862/70000 [21:55:17<2:54:28, 1.29s/step] Training: 88%|████████▊ | 61863/70000 [21:55:18<2:56:15, 1.30s/step] Training: 88%|████████▊ | 61864/70000 [21:55:19<2:57:01, 1.31s/step] Training: 88%|████████▊ | 61865/70000 [21:55:20<2:52:19, 1.27s/step] Training: 88%|████████▊ | 61866/70000 [21:55:22<2:51:31, 1.27s/step] Training: 88%|████████▊ | 61867/70000 [21:55:23<2:53:49, 1.28s/step] Training: 88%|████████▊ | 61868/70000 [21:55:24<2:50:13, 1.26s/step] Training: 88%|████████▊ | 61869/70000 [21:55:26<2:52:51, 1.28s/step] Training: 88%|████████▊ | 61870/70000 [21:55:27<2:51:02, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=69282 Training: 88%|████████▊ | 61871/70000 [21:55:28<2:53:50, 1.28s/step] Training: 88%|████████▊ | 61872/70000 [21:55:29<2:55:24, 1.29s/step] Training: 88%|████████▊ | 61873/70000 [21:55:31<2:51:07, 1.26s/step] Training: 88%|████████▊ | 61874/70000 [21:55:32<2:50:12, 1.26s/step] Training: 88%|████████▊ | 61875/70000 [21:55:33<2:48:35, 1.25s/step] Training: 88%|████████▊ | 61876/70000 [21:55:34<2:46:14, 1.23s/step] Training: 88%|████████▊ | 61877/70000 [21:55:36<2:50:12, 1.26s/step] Training: 88%|████████▊ | 61878/70000 [21:55:37<2:47:50, 1.24s/step] Training: 88%|████████▊ | 61879/70000 [21:55:38<2:50:13, 1.26s/step] Training: 88%|████████▊ | 61880/70000 [21:55:39<2:48:39, 1.25s/step] Training: 88%|████████▊ | 61881/70000 [21:55:41<2:46:24, 1.23s/step] Training: 88%|████████▊ | 61882/70000 [21:55:42<2:44:50, 1.22s/step] Training: 88%|████████▊ | 61883/70000 [21:55:43<2:50:06, 1.26s/step] Training: 88%|████████▊ | 61884/70000 [21:55:44<2:47:04, 1.24s/step] Training: 88%|████████▊ | 61885/70000 [21:55:45<2:45:45, 1.23s/step] Training: 88%|████████▊ | 61886/70000 [21:55:47<2:50:10, 1.26s/step] Training: 88%|████████▊ | 61887/70000 [21:55:48<2:53:07, 1.28s/step] Training: 88%|████████▊ | 61888/70000 [21:55:49<2:50:45, 1.26s/step] Training: 88%|████████▊ | 61889/70000 [21:55:51<2:47:40, 1.24s/step] Training: 88%|████████▊ | 61890/70000 [21:55:52<2:45:36, 1.23s/step] Training: 88%|████████▊ | 61891/70000 [21:55:53<2:54:40, 1.29s/step] Training: 88%|████████▊ | 61892/70000 [21:55:54<2:50:34, 1.26s/step] Training: 88%|████████▊ | 61893/70000 [21:55:56<2:53:15, 1.28s/step] Training: 88%|████████▊ | 61894/70000 [21:55:57<2:49:29, 1.25s/step] Training: 88%|████████▊ | 61895/70000 [21:55:58<2:57:26, 1.31s/step] Training: 88%|████████▊ | 61896/70000 [21:56:00<2:58:04, 1.32s/step] Training: 88%|████████▊ | 61897/70000 [21:56:01<2:52:48, 1.28s/step] Training: 88%|████████▊ | 61898/70000 [21:56:02<2:49:05, 1.25s/step] Training: 88%|████████▊ | 61899/70000 [21:56:03<2:53:21, 1.28s/step] Training: 88%|████████▊ | 61900/70000 [21:56:05<2:49:13, 1.25s/step]INFO 2026-03-13 18:05:57 ot_train.py:435 step:62K smpl:4M ep:13K epch:52.47 loss:0.007 grdn:0.648 lr:1.8e-06 updt_s:1.237 data_s:0.019 Training: 88%|████████▊ | 61901/70000 [21:56:06<2:52:13, 1.28s/step] Training: 88%|████████▊ | 61902/70000 [21:56:07<2:48:44, 1.25s/step] Training: 88%|████████▊ | 61903/70000 [21:56:09<2:57:11, 1.31s/step] Training: 88%|████████▊ | 61904/70000 [21:56:10<2:57:30, 1.32s/step] Training: 88%|████████▊ | 61905/70000 [21:56:11<2:52:22, 1.28s/step] Training: 88%|████████▊ | 61906/70000 [21:56:12<2:48:47, 1.25s/step] Training: 88%|████████▊ | 61907/70000 [21:56:14<2:54:39, 1.29s/step] Training: 88%|████████▊ | 61908/70000 [21:56:15<2:49:56, 1.26s/step] Training: 88%|████████▊ | 61909/70000 [21:56:16<2:52:32, 1.28s/step] Training: 88%|████████▊ | 61910/70000 [21:56:17<2:48:48, 1.25s/step] Training: 88%|████████▊ | 61911/70000 [21:56:19<2:48:24, 1.25s/step] Training: 88%|████████▊ | 61912/70000 [21:56:20<2:47:41, 1.24s/step] Training: 88%|████████▊ | 61913/70000 [21:56:21<2:45:22, 1.23s/step] Training: 88%|████████▊ | 61914/70000 [21:56:22<2:43:52, 1.22s/step] Training: 88%|████████▊ | 61915/70000 [21:56:23<2:44:13, 1.22s/step] Training: 88%|████████▊ | 61916/70000 [21:56:25<2:49:13, 1.26s/step] Training: 88%|████████▊ | 61917/70000 [21:56:26<2:47:20, 1.24s/step] Training: 88%|████████▊ | 61918/70000 [21:56:27<2:45:21, 1.23s/step] Training: 88%|████████▊ | 61919/70000 [21:56:29<2:55:05, 1.30s/step] Training: 88%|████████▊ | 61920/70000 [21:56:30<2:51:09, 1.27s/step] Training: 88%|████████▊ | 61921/70000 [21:56:31<2:47:53, 1.25s/step] Training: 88%|████████▊ | 61922/70000 [21:56:32<2:45:42, 1.23s/step] Training: 88%|████████▊ | 61923/70000 [21:56:33<2:43:41, 1.22s/step] Training: 88%|████████▊ | 61924/70000 [21:56:35<2:49:23, 1.26s/step] Training: 88%|████████▊ | 61925/70000 [21:56:36<2:52:23, 1.28s/step] Training: 88%|████████▊ | 61926/70000 [21:56:37<2:48:39, 1.25s/step] Training: 88%|████████▊ | 61927/70000 [21:56:39<2:52:11, 1.28s/step] Training: 88%|████████▊ | 61928/70000 [21:56:40<2:53:44, 1.29s/step] Training: 88%|████████▊ | 61929/70000 [21:56:41<2:49:33, 1.26s/step] Training: 88%|████████▊ | 61930/70000 [21:56:42<2:46:33, 1.24s/step] Training: 88%|████████▊ | 61931/70000 [21:56:44<2:44:33, 1.22s/step] Training: 88%|████████▊ | 61932/70000 [21:56:45<2:46:08, 1.24s/step] Training: 88%|████████▊ | 61933/70000 [21:56:46<2:49:42, 1.26s/step] Training: 88%|████████▊ | 61934/70000 [21:56:47<2:46:49, 1.24s/step] Training: 88%|████████▊ | 61935/70000 [21:56:49<2:53:18, 1.29s/step] Training: 88%|████████▊ | 61936/70000 [21:56:50<2:54:42, 1.30s/step] Training: 88%|████████▊ | 61937/70000 [21:56:51<2:50:11, 1.27s/step] Training: 88%|████████▊ | 61938/70000 [21:56:52<2:47:01, 1.24s/step] Training: 88%|████████▊ | 61939/70000 [21:56:54<2:45:17, 1.23s/step] Training: 88%|████████▊ | 61940/70000 [21:56:55<2:50:37, 1.27s/step] Training: 88%|████████▊ | 61941/70000 [21:56:56<2:52:19, 1.28s/step] Training: 88%|████████▊ | 61942/70000 [21:56:57<2:48:29, 1.25s/step] Training: 88%|████████▊ | 61943/70000 [21:56:59<2:51:24, 1.28s/step] Training: 88%|████████▊ | 61944/70000 [21:57:00<2:48:19, 1.25s/step] Training: 88%|████████▊ | 61945/70000 [21:57:01<2:45:39, 1.23s/step] Training: 88%|████████▊ | 61946/70000 [21:57:02<2:43:44, 1.22s/step] Training: 88%|████████▊ | 61947/70000 [21:57:04<2:43:49, 1.22s/step] Training: 88%|████████▊ | 61948/70000 [21:57:05<2:44:35, 1.23s/step] Training: 88%|████████▊ | 61949/70000 [21:57:06<2:43:04, 1.22s/step] Training: 88%|████████▊ | 61950/70000 [21:57:07<2:41:55, 1.21s/step] Training: 89%|████████▊ | 61951/70000 [21:57:09<2:46:55, 1.24s/step] Training: 89%|████████▊ | 61952/70000 [21:57:10<2:50:04, 1.27s/step] Training: 89%|████████▊ | 61953/70000 [21:57:11<2:46:43, 1.24s/step] Training: 89%|████████▊ | 61954/70000 [21:57:12<2:44:31, 1.23s/step] Training: 89%|████████▊ | 61955/70000 [21:57:13<2:42:57, 1.22s/step] Training: 89%|████████▊ | 61956/70000 [21:57:15<2:46:51, 1.24s/step] Training: 89%|████████▊ | 61957/70000 [21:57:16<2:53:41, 1.30s/step] Training: 89%|████████▊ | 61958/70000 [21:57:17<2:49:24, 1.26s/step] Training: 89%|████████▊ | 61959/70000 [21:57:19<2:52:28, 1.29s/step] Training: 89%|████████▊ | 61960/70000 [21:57:20<2:50:40, 1.27s/step] Training: 89%|████████▊ | 61961/70000 [21:57:21<2:52:32, 1.29s/step] Training: 89%|████████▊ | 61962/70000 [21:57:22<2:48:49, 1.26s/step] Training: 89%|████████▊ | 61963/70000 [21:57:24<2:51:48, 1.28s/step] Training: 89%|████████▊ | 61964/70000 [21:57:25<2:47:54, 1.25s/step] Training: 89%|████████▊ | 61965/70000 [21:57:26<2:53:57, 1.30s/step] Training: 89%|████████▊ | 61966/70000 [21:57:28<2:49:30, 1.27s/step] Training: 89%|████████▊ | 61967/70000 [21:57:29<2:54:06, 1.30s/step] Training: 89%|████████▊ | 61968/70000 [21:57:30<2:50:30, 1.27s/step] Training: 89%|████████▊ | 61969/70000 [21:57:31<2:47:11, 1.25s/step] Training: 89%|████████▊ | 61970/70000 [21:57:33<2:44:41, 1.23s/step] Training: 89%|████████▊ | 61971/70000 [21:57:34<2:43:33, 1.22s/step] Training: 89%|████████▊ | 61972/70000 [21:57:35<2:42:07, 1.21s/step] Training: 89%|████████▊ | 61973/70000 [21:57:36<2:43:23, 1.22s/step] Training: 89%|████████▊ | 61974/70000 [21:57:37<2:41:39, 1.21s/step] Training: 89%|████████▊ | 61975/70000 [21:57:39<2:46:27, 1.24s/step] Training: 89%|████████▊ | 61976/70000 [21:57:40<2:50:29, 1.27s/step] Training: 89%|████████▊ | 61977/70000 [21:57:41<2:47:18, 1.25s/step] Training: 89%|████████▊ | 61978/70000 [21:57:42<2:44:52, 1.23s/step] Training: 89%|████████▊ | 61979/70000 [21:57:44<2:44:40, 1.23s/step] Training: 89%|████████▊ | 61980/70000 [21:57:45<2:43:11, 1.22s/step] Training: 89%|████████▊ | 61981/70000 [21:57:46<2:43:14, 1.22s/step] Training: 89%|████████▊ | 61982/70000 [21:57:47<2:41:56, 1.21s/step] Training: 89%|████████▊ | 61983/70000 [21:57:49<2:46:56, 1.25s/step] Training: 89%|████████▊ | 61984/70000 [21:57:50<2:49:52, 1.27s/step] Training: 89%|████████▊ | 61985/70000 [21:57:51<2:46:38, 1.25s/step] Training: 89%|████████▊ | 61986/70000 [21:57:52<2:44:15, 1.23s/step] Training: 89%|████████▊ | 61987/70000 [21:57:53<2:42:35, 1.22s/step] Training: 89%|████████▊ | 61988/70000 [21:57:55<2:46:37, 1.25s/step] Training: 89%|████████▊ | 61989/70000 [21:57:56<2:46:40, 1.25s/step] Training: 89%|████████▊ | 61990/70000 [21:57:57<2:49:02, 1.27s/step] Training: 89%|████████▊ | 61991/70000 [21:57:59<2:52:07, 1.29s/step] Training: 89%|████████▊ | 61992/70000 [21:58:00<2:53:36, 1.30s/step] Training: 89%|████████▊ | 61993/70000 [21:58:01<2:49:08, 1.27s/step] Training: 89%|████████▊ | 61994/70000 [21:58:02<2:45:59, 1.24s/step] Training: 89%|████████▊ | 61995/70000 [21:58:04<2:49:20, 1.27s/step] Training: 89%|████████▊ | 61996/70000 [21:58:05<2:46:09, 1.25s/step] Training: 89%|████████▊ | 61997/70000 [21:58:06<2:45:57, 1.24s/step] Training: 89%|████████▊ | 61998/70000 [21:58:07<2:43:22, 1.23s/step] Training: 89%|████████▊ | 61999/70000 [21:58:09<2:44:12, 1.23s/step] Training: 89%|████████▊ | 62000/70000 [21:58:10<2:43:06, 1.22s/step]INFO 2026-03-13 18:08:02 ot_train.py:435 step:62K smpl:4M ep:14K epch:52.55 loss:0.007 grdn:0.589 lr:1.8e-06 updt_s:1.231 data_s:0.019 Training: 89%|████████▊ | 62001/70000 [21:58:11<2:41:43, 1.21s/step] Training: 89%|████████▊ | 62002/70000 [21:58:12<2:40:39, 1.21s/step] Training: 89%|████████▊ | 62003/70000 [21:58:13<2:40:59, 1.21s/step] Training: 89%|████████▊ | 62004/70000 [21:58:15<2:39:57, 1.20s/step] Training: 89%|████████▊ | 62005/70000 [21:58:16<2:41:04, 1.21s/step] Training: 89%|████████▊ | 62006/70000 [21:58:17<2:46:42, 1.25s/step] Training: 89%|████████▊ | 62007/70000 [21:58:18<2:49:31, 1.27s/step] Training: 89%|████████▊ | 62008/70000 [21:58:20<2:53:34, 1.30s/step] Training: 89%|████████▊ | 62009/70000 [21:58:21<2:49:02, 1.27s/step] Training: 89%|████████▊ | 62010/70000 [21:58:22<2:45:50, 1.25s/step] Training: 89%|████████▊ | 62011/70000 [21:58:23<2:45:06, 1.24s/step] Training: 89%|████████▊ | 62012/70000 [21:58:25<2:43:15, 1.23s/step] Training: 89%|████████▊ | 62013/70000 [21:58:26<2:42:34, 1.22s/step] Training: 89%|████████▊ | 62014/70000 [21:58:27<2:45:08, 1.24s/step] Training: 89%|████████▊ | 62015/70000 [21:58:28<2:49:17, 1.27s/step] Training: 89%|████████▊ | 62016/70000 [21:58:30<2:51:35, 1.29s/step] Training: 89%|████████▊ | 62017/70000 [21:58:31<2:47:37, 1.26s/step] Training: 89%|████████▊ | 62018/70000 [21:58:32<2:44:46, 1.24s/step] Training: 89%|████████▊ | 62019/70000 [21:58:33<2:42:58, 1.23s/step] Training: 89%|████████▊ | 62020/70000 [21:58:35<2:46:12, 1.25s/step] Training: 89%|████████▊ | 62021/70000 [21:58:36<2:49:14, 1.27s/step] Training: 89%|████████▊ | 62022/70000 [21:58:37<2:52:30, 1.30s/step] Training: 89%|████████▊ | 62023/70000 [21:58:39<2:53:12, 1.30s/step] Training: 89%|████████▊ | 62024/70000 [21:58:40<2:54:26, 1.31s/step] Training: 89%|████████▊ | 62025/70000 [21:58:41<2:49:31, 1.28s/step] Training: 89%|████████▊ | 62026/70000 [21:58:42<2:46:04, 1.25s/step] Training: 89%|████████▊ | 62027/70000 [21:58:44<2:49:13, 1.27s/step] Training: 89%|████████▊ | 62028/70000 [21:58:45<2:45:53, 1.25s/step] Training: 89%|████████▊ | 62029/70000 [21:58:46<2:48:53, 1.27s/step] Training: 89%|████████▊ | 62030/70000 [21:58:48<2:52:27, 1.30s/step] Training: 89%|████████▊ | 62031/70000 [21:58:49<2:50:37, 1.28s/step] Training: 89%|████████▊ | 62032/70000 [21:58:50<2:52:08, 1.30s/step] Training: 89%|████████▊ | 62033/70000 [21:58:51<2:47:46, 1.26s/step] Training: 89%|████████▊ | 62034/70000 [21:58:53<2:44:52, 1.24s/step] Training: 89%|████████▊ | 62035/70000 [21:58:54<2:48:19, 1.27s/step] Training: 89%|████████▊ | 62036/70000 [21:58:55<2:45:17, 1.25s/step] Training: 89%|████████▊ | 62037/70000 [21:58:56<2:44:16, 1.24s/step] Training: 89%|████████▊ | 62038/70000 [21:58:57<2:42:20, 1.22s/step] Training: 89%|████████▊ | 62039/70000 [21:58:59<2:49:46, 1.28s/step] Training: 89%|████████▊ | 62040/70000 [21:59:00<2:53:14, 1.31s/step] Training: 89%|████████▊ | 62041/70000 [21:59:01<2:48:31, 1.27s/step] Training: 89%|████████▊ | 62042/70000 [21:59:03<2:45:16, 1.25s/step] Training: 89%|████████▊ | 62043/70000 [21:59:04<2:44:39, 1.24s/step] Training: 89%|████████▊ | 62044/70000 [21:59:05<2:42:41, 1.23s/step] Training: 89%|████████▊ | 62045/70000 [21:59:06<2:41:50, 1.22s/step] Training: 89%|████████▊ | 62046/70000 [21:59:07<2:40:29, 1.21s/step] Training: 89%|████████▊ | 62047/70000 [21:59:09<2:50:38, 1.29s/step] Training: 89%|████████▊ | 62048/70000 [21:59:10<2:51:55, 1.30s/step] Training: 89%|████████▊ | 62049/70000 [21:59:11<2:47:35, 1.26s/step] Training: 89%|████████▊ | 62050/70000 [21:59:13<2:44:43, 1.24s/step] Training: 89%|████████▊ | 62051/70000 [21:59:14<2:42:27, 1.23s/step] Training: 89%|████████▊ | 62052/70000 [21:59:15<2:46:16, 1.26s/step] Training: 89%|████████▊ | 62053/70000 [21:59:16<2:49:12, 1.28s/step] Training: 89%|████████▊ | 62054/70000 [21:59:18<2:45:39, 1.25s/step] Training: 89%|████████▊ | 62055/70000 [21:59:19<2:54:23, 1.32s/step] Training: 89%|████████▊ | 62056/70000 [21:59:20<2:54:52, 1.32s/step] Training: 89%|████████▊ | 62057/70000 [21:59:22<2:49:35, 1.28s/step] Training: 89%|████████▊ | 62058/70000 [21:59:23<2:45:49, 1.25s/step] Training: 89%|████████▊ | 62059/70000 [21:59:24<2:48:49, 1.28s/step] Training: 89%|████████▊ | 62060/70000 [21:59:25<2:45:16, 1.25s/step] Training: 89%|████████▊ | 62061/70000 [21:59:27<2:48:08, 1.27s/step] Training: 89%|████████▊ | 62062/70000 [21:59:28<2:44:58, 1.25s/step] Training: 89%|████████▊ | 62063/70000 [21:59:29<2:51:24, 1.30s/step] Training: 89%|████████▊ | 62064/70000 [21:59:31<2:51:59, 1.30s/step] Training: 89%|████████▊ | 62065/70000 [21:59:32<2:47:32, 1.27s/step] Training: 89%|████████▊ | 62066/70000 [21:59:33<2:44:27, 1.24s/step] Training: 89%|████████▊ | 62067/70000 [21:59:34<2:42:46, 1.23s/step] Training: 89%|████████▊ | 62068/70000 [21:59:35<2:41:05, 1.22s/step] Training: 89%|████████▊ | 62069/70000 [21:59:37<2:41:46, 1.22s/step] Training: 89%|████████▊ | 62070/70000 [21:59:38<2:40:18, 1.21s/step] Training: 89%|████████▊ | 62071/70000 [21:59:39<2:44:47, 1.25s/step] Training: 89%|████████▊ | 62072/70000 [21:59:40<2:49:32, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=29362 Training: 89%|████████▊ | 62073/70000 [21:59:42<2:45:49, 1.26s/step] Training: 89%|████████▊ | 62074/70000 [21:59:43<2:43:23, 1.24s/step] Training: 89%|████████▊ | 62075/70000 [21:59:44<2:42:58, 1.23s/step] Training: 89%|████████▊ | 62076/70000 [21:59:45<2:41:15, 1.22s/step] Training: 89%|████████▊ | 62077/70000 [21:59:46<2:40:47, 1.22s/step] Training: 89%|████████▊ | 62078/70000 [21:59:48<2:39:46, 1.21s/step] Training: 89%|████████▊ | 62079/70000 [21:59:49<2:44:44, 1.25s/step] Training: 89%|████████▊ | 62080/70000 [21:59:50<2:52:29, 1.31s/step] Training: 89%|████████▊ | 62081/70000 [21:59:52<2:47:43, 1.27s/step] Training: 89%|████████▊ | 62082/70000 [21:59:53<2:44:25, 1.25s/step] Training: 89%|████████▊ | 62083/70000 [21:59:54<2:42:09, 1.23s/step] Training: 89%|████████▊ | 62084/70000 [21:59:55<2:45:39, 1.26s/step] Training: 89%|████████▊ | 62085/70000 [21:59:57<2:48:53, 1.28s/step] Training: 89%|████████▊ | 62086/70000 [21:59:58<2:45:15, 1.25s/step] Training: 89%|████████▊ | 62087/70000 [21:59:59<2:48:29, 1.28s/step] Training: 89%|████████▊ | 62088/70000 [22:00:01<2:54:28, 1.32s/step] Training: 89%|████████▊ | 62089/70000 [22:00:02<2:49:15, 1.28s/step] Training: 89%|████████▊ | 62090/70000 [22:00:03<2:45:33, 1.26s/step] Training: 89%|████████▊ | 62091/70000 [22:00:04<2:47:58, 1.27s/step] Training: 89%|████████▊ | 62092/70000 [22:00:06<2:44:33, 1.25s/step] Training: 89%|████████▊ | 62093/70000 [22:00:07<2:47:15, 1.27s/step] Training: 89%|████████▊ | 62094/70000 [22:00:08<2:44:03, 1.25s/step] Training: 89%|████████▊ | 62095/70000 [22:00:09<2:44:50, 1.25s/step] Training: 89%|████████▊ | 62096/70000 [22:00:11<2:49:12, 1.28s/step] Training: 89%|████████▊ | 62097/70000 [22:00:12<2:45:51, 1.26s/step] Training: 89%|████████▊ | 62098/70000 [22:00:13<2:43:24, 1.24s/step] Training: 89%|████████▊ | 62099/70000 [22:00:14<2:41:55, 1.23s/step] Training: 89%|████████▊ | 62100/70000 [22:00:15<2:40:28, 1.22s/step]INFO 2026-03-13 18:10:08 ot_train.py:435 step:62K smpl:4M ep:14K epch:52.64 loss:0.007 grdn:0.673 lr:1.8e-06 updt_s:1.235 data_s:0.019 Training: 89%|████████▊ | 62101/70000 [22:00:17<2:40:20, 1.22s/step] Training: 89%|████████▊ | 62102/70000 [22:00:18<2:39:07, 1.21s/step] Training: 89%|████████▊ | 62103/70000 [22:00:19<2:44:11, 1.25s/step] Training: 89%|████████▊ | 62104/70000 [22:00:21<2:50:08, 1.29s/step] Training: 89%|████████▊ | 62105/70000 [22:00:22<2:45:37, 1.26s/step] Training: 89%|████████▊ | 62106/70000 [22:00:23<2:43:00, 1.24s/step] Training: 89%|████████▊ | 62107/70000 [22:00:24<2:42:29, 1.24s/step] Training: 89%|████████▊ | 62108/70000 [22:00:25<2:40:42, 1.22s/step] Training: 89%|████████▊ | 62109/70000 [22:00:27<2:39:54, 1.22s/step] Training: 89%|████████▊ | 62110/70000 [22:00:28<2:39:04, 1.21s/step] Training: 89%|████████▊ | 62111/70000 [22:00:29<2:44:19, 1.25s/step] Training: 89%|████████▊ | 62112/70000 [22:00:31<2:51:06, 1.30s/step] Training: 89%|████████▊ | 62113/70000 [22:00:32<2:52:40, 1.31s/step] Training: 89%|████████▊ | 62114/70000 [22:00:33<2:47:30, 1.27s/step] Training: 89%|████████▊ | 62115/70000 [22:00:34<2:44:11, 1.25s/step] Training: 89%|████████▊ | 62116/70000 [22:00:36<2:46:51, 1.27s/step] Training: 89%|████████▊ | 62117/70000 [22:00:37<2:49:20, 1.29s/step] Training: 89%|████████▊ | 62118/70000 [22:00:38<2:45:20, 1.26s/step] Training: 89%|████████▊ | 62119/70000 [22:00:39<2:48:16, 1.28s/step] Training: 89%|████████▊ | 62120/70000 [22:00:41<2:52:42, 1.32s/step] Training: 89%|████████▊ | 62121/70000 [22:00:42<2:53:41, 1.32s/step] Training: 89%|████████▊ | 62122/70000 [22:00:43<2:48:08, 1.28s/step] Training: 89%|████████▊ | 62123/70000 [22:00:45<2:50:16, 1.30s/step] Training: 89%|████████▊ | 62124/70000 [22:00:46<2:46:18, 1.27s/step] Training: 89%|████████▉ | 62125/70000 [22:00:47<2:48:46, 1.29s/step] Training: 89%|████████▉ | 62126/70000 [22:00:48<2:44:51, 1.26s/step] Training: 89%|████████▉ | 62127/70000 [22:00:50<2:44:19, 1.25s/step] Training: 89%|████████▉ | 62128/70000 [22:00:51<2:42:41, 1.24s/step] Training: 89%|████████▉ | 62129/70000 [22:00:52<2:41:41, 1.23s/step] Training: 89%|████████▉ | 62130/70000 [22:00:53<2:40:03, 1.22s/step] Training: 89%|████████▉ | 62131/70000 [22:00:54<2:39:49, 1.22s/step] Training: 89%|████████▉ | 62132/70000 [22:00:56<2:38:43, 1.21s/step] Training: 89%|████████▉ | 62133/70000 [22:00:57<2:39:36, 1.22s/step] Training: 89%|████████▉ | 62134/70000 [22:00:58<2:38:28, 1.21s/step] Training: 89%|████████▉ | 62135/70000 [22:00:59<2:43:00, 1.24s/step] Training: 89%|████████▉ | 62136/70000 [22:01:01<2:47:52, 1.28s/step] Training: 89%|████████▉ | 62137/70000 [22:01:02<2:47:04, 1.27s/step] Training: 89%|████████▉ | 62138/70000 [22:01:03<2:43:15, 1.25s/step] Training: 89%|████████▉ | 62139/70000 [22:01:04<2:42:56, 1.24s/step] Training: 89%|████████▉ | 62140/70000 [22:01:06<2:40:45, 1.23s/step] Training: 89%|████████▉ | 62141/70000 [22:01:07<2:39:40, 1.22s/step] Training: 89%|████████▉ | 62142/70000 [22:01:08<2:38:25, 1.21s/step] Training: 89%|████████▉ | 62143/70000 [22:01:09<2:42:38, 1.24s/step] Training: 89%|████████▉ | 62144/70000 [22:01:11<2:41:39, 1.23s/step] Training: 89%|████████▉ | 62145/70000 [22:01:12<2:44:58, 1.26s/step] Training: 89%|████████▉ | 62146/70000 [22:01:13<2:48:37, 1.29s/step] Training: 89%|████████▉ | 62147/70000 [22:01:14<2:44:20, 1.26s/step] Training: 89%|████████▉ | 62148/70000 [22:01:16<2:46:54, 1.28s/step] Training: 89%|████████▉ | 62149/70000 [22:01:17<2:49:15, 1.29s/step] Training: 89%|████████▉ | 62150/70000 [22:01:18<2:45:08, 1.26s/step] Training: 89%|████████▉ | 62151/70000 [22:01:20<2:47:46, 1.28s/step] Training: 89%|████████▉ | 62152/70000 [22:01:21<2:51:25, 1.31s/step] Training: 89%|████████▉ | 62153/70000 [22:01:22<2:51:44, 1.31s/step] Training: 89%|████████▉ | 62154/70000 [22:01:24<2:49:38, 1.30s/step] Training: 89%|████████▉ | 62155/70000 [22:01:25<2:51:18, 1.31s/step] Training: 89%|████████▉ | 62156/70000 [22:01:26<2:46:39, 1.27s/step] Training: 89%|████████▉ | 62157/70000 [22:01:27<2:48:18, 1.29s/step] Training: 89%|████████▉ | 62158/70000 [22:01:29<2:44:19, 1.26s/step] Training: 89%|████████▉ | 62159/70000 [22:01:30<2:46:57, 1.28s/step] Training: 89%|████████▉ | 62160/70000 [22:01:31<2:48:44, 1.29s/step] Training: 89%|████████▉ | 62161/70000 [22:01:32<2:44:41, 1.26s/step] Training: 89%|████████▉ | 62162/70000 [22:01:34<2:41:57, 1.24s/step] Training: 89%|████████▉ | 62163/70000 [22:01:35<2:46:18, 1.27s/step] Training: 89%|████████▉ | 62164/70000 [22:01:36<2:42:37, 1.25s/step] Training: 89%|████████▉ | 62165/70000 [22:01:37<2:42:05, 1.24s/step] Training: 89%|████████▉ | 62166/70000 [22:01:39<2:39:54, 1.22s/step] Training: 89%|████████▉ | 62167/70000 [22:01:40<2:43:40, 1.25s/step] Training: 89%|████████▉ | 62168/70000 [22:01:41<2:48:06, 1.29s/step] Training: 89%|████████▉ | 62169/70000 [22:01:42<2:45:25, 1.27s/step] Training: 89%|████████▉ | 62170/70000 [22:01:44<2:48:51, 1.29s/step] Training: 89%|████████▉ | 62171/70000 [22:01:45<2:46:01, 1.27s/step] Training: 89%|████████▉ | 62172/70000 [22:01:46<2:42:51, 1.25s/step] Training: 89%|████████▉ | 62173/70000 [22:01:47<2:41:30, 1.24s/step] Training: 89%|████████▉ | 62174/70000 [22:01:49<2:39:34, 1.22s/step] Training: 89%|████████▉ | 62175/70000 [22:01:50<2:43:24, 1.25s/step] Training: 89%|████████▉ | 62176/70000 [22:01:51<2:47:36, 1.29s/step] Training: 89%|████████▉ | 62177/70000 [22:01:53<2:45:57, 1.27s/step] Training: 89%|████████▉ | 62178/70000 [22:01:54<2:42:37, 1.25s/step] Training: 89%|████████▉ | 62179/70000 [22:01:55<2:46:32, 1.28s/step] Training: 89%|████████▉ | 62180/70000 [22:01:56<2:46:19, 1.28s/step] Training: 89%|████████▉ | 62181/70000 [22:01:58<2:48:22, 1.29s/step] Training: 89%|████████▉ | 62182/70000 [22:01:59<2:44:26, 1.26s/step] Training: 89%|████████▉ | 62183/70000 [22:02:00<2:47:09, 1.28s/step] Training: 89%|████████▉ | 62184/70000 [22:02:02<2:51:11, 1.31s/step] Training: 89%|████████▉ | 62185/70000 [22:02:03<2:46:09, 1.28s/step] Training: 89%|████████▉ | 62186/70000 [22:02:04<2:47:42, 1.29s/step] Training: 89%|████████▉ | 62187/70000 [22:02:05<2:50:02, 1.31s/step] Training: 89%|████████▉ | 62188/70000 [22:02:07<2:45:13, 1.27s/step] Training: 89%|████████▉ | 62189/70000 [22:02:08<2:47:33, 1.29s/step] Training: 89%|████████▉ | 62190/70000 [22:02:09<2:43:52, 1.26s/step] Training: 89%|████████▉ | 62191/70000 [22:02:10<2:44:03, 1.26s/step] Training: 89%|████████▉ | 62192/70000 [22:02:12<2:46:53, 1.28s/step] Training: 89%|████████▉ | 62193/70000 [22:02:13<2:48:25, 1.29s/step] Training: 89%|████████▉ | 62194/70000 [22:02:14<2:44:25, 1.26s/step] Training: 89%|████████▉ | 62195/70000 [22:02:16<2:43:05, 1.25s/step] Training: 89%|████████▉ | 62196/70000 [22:02:17<2:40:25, 1.23s/step] Training: 89%|████████▉ | 62197/70000 [22:02:18<2:40:00, 1.23s/step] Training: 89%|████████▉ | 62198/70000 [22:02:19<2:38:21, 1.22s/step] Training: 89%|████████▉ | 62199/70000 [22:02:20<2:42:40, 1.25s/step] Training: 89%|████████▉ | 62200/70000 [22:02:22<2:46:55, 1.28s/step]INFO 2026-03-13 18:12:14 ot_train.py:435 step:62K smpl:4M ep:14K epch:52.72 loss:0.008 grdn:0.590 lr:1.7e-06 updt_s:1.243 data_s:0.019 Training: 89%|████████▉ | 62201/70000 [22:02:23<2:44:34, 1.27s/step] Training: 89%|████████▉ | 62202/70000 [22:02:24<2:41:48, 1.24s/step] Training: 89%|████████▉ | 62203/70000 [22:02:26<2:43:18, 1.26s/step] Training: 89%|████████▉ | 62204/70000 [22:02:27<2:40:37, 1.24s/step] Training: 89%|████████▉ | 62205/70000 [22:02:28<2:39:26, 1.23s/step] Training: 89%|████████▉ | 62206/70000 [22:02:29<2:38:06, 1.22s/step] Training: 89%|████████▉ | 62207/70000 [22:02:30<2:42:40, 1.25s/step] Training: 89%|████████▉ | 62208/70000 [22:02:32<2:46:05, 1.28s/step] Training: 89%|████████▉ | 62209/70000 [22:02:33<2:44:36, 1.27s/step] Training: 89%|████████▉ | 62210/70000 [22:02:34<2:41:44, 1.25s/step] Training: 89%|████████▉ | 62211/70000 [22:02:36<2:44:58, 1.27s/step] Training: 89%|████████▉ | 62212/70000 [22:02:37<2:41:47, 1.25s/step] Training: 89%|████████▉ | 62213/70000 [22:02:38<2:39:53, 1.23s/step] Training: 89%|████████▉ | 62214/70000 [22:02:39<2:42:43, 1.25s/step] Training: 89%|████████▉ | 62215/70000 [22:02:41<2:45:55, 1.28s/step] Training: 89%|████████▉ | 62216/70000 [22:02:42<2:49:07, 1.30s/step] Training: 89%|████████▉ | 62217/70000 [22:02:43<2:44:44, 1.27s/step] Training: 89%|████████▉ | 62218/70000 [22:02:44<2:46:08, 1.28s/step] Training: 89%|████████▉ | 62219/70000 [22:02:46<2:48:35, 1.30s/step] Training: 89%|████████▉ | 62220/70000 [22:02:47<2:50:56, 1.32s/step] Training: 89%|████████▉ | 62221/70000 [22:02:48<2:45:30, 1.28s/step] Training: 89%|████████▉ | 62222/70000 [22:02:50<2:42:07, 1.25s/step] Training: 89%|████████▉ | 62223/70000 [22:02:51<2:42:02, 1.25s/step] Training: 89%|████████▉ | 62224/70000 [22:02:52<2:44:47, 1.27s/step] Training: 89%|████████▉ | 62225/70000 [22:02:53<2:46:58, 1.29s/step] Training: 89%|████████▉ | 62226/70000 [22:02:55<2:43:14, 1.26s/step] Training: 89%|████████▉ | 62227/70000 [22:02:56<2:42:04, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=42062 Training: 89%|████████▉ | 62228/70000 [22:02:57<2:44:36, 1.27s/step] Training: 89%|████████▉ | 62229/70000 [22:02:58<2:42:37, 1.26s/step] Training: 89%|████████▉ | 62230/70000 [22:03:00<2:40:07, 1.24s/step] Training: 89%|████████▉ | 62231/70000 [22:03:01<2:43:12, 1.26s/step] Training: 89%|████████▉ | 62232/70000 [22:03:02<2:41:57, 1.25s/step] Training: 89%|████████▉ | 62233/70000 [22:03:03<2:44:22, 1.27s/step] Training: 89%|████████▉ | 62234/70000 [22:03:05<2:41:11, 1.25s/step] Training: 89%|████████▉ | 62235/70000 [22:03:06<2:40:03, 1.24s/step] Training: 89%|████████▉ | 62236/70000 [22:03:07<2:45:12, 1.28s/step] Training: 89%|████████▉ | 62237/70000 [22:03:08<2:42:05, 1.25s/step] Training: 89%|████████▉ | 62238/70000 [22:03:10<2:39:42, 1.23s/step] Training: 89%|████████▉ | 62239/70000 [22:03:11<2:43:30, 1.26s/step] Training: 89%|████████▉ | 62240/70000 [22:03:12<2:41:28, 1.25s/step] Training: 89%|████████▉ | 62241/70000 [22:03:13<2:43:20, 1.26s/step] Training: 89%|████████▉ | 62242/70000 [22:03:15<2:40:33, 1.24s/step] Training: 89%|████████▉ | 62243/70000 [22:03:16<2:43:48, 1.27s/step] Training: 89%|████████▉ | 62244/70000 [22:03:17<2:47:28, 1.30s/step] Training: 89%|████████▉ | 62245/70000 [22:03:18<2:42:53, 1.26s/step] Training: 89%|████████▉ | 62246/70000 [22:03:20<2:44:54, 1.28s/step] Training: 89%|████████▉ | 62247/70000 [22:03:21<2:46:55, 1.29s/step] Training: 89%|████████▉ | 62248/70000 [22:03:22<2:48:15, 1.30s/step] Training: 89%|████████▉ | 62249/70000 [22:03:24<2:45:09, 1.28s/step] Training: 89%|████████▉ | 62250/70000 [22:03:25<2:45:35, 1.28s/step] Training: 89%|████████▉ | 62251/70000 [22:03:26<2:47:15, 1.30s/step] Training: 89%|████████▉ | 62252/70000 [22:03:27<2:43:23, 1.27s/step] Training: 89%|████████▉ | 62253/70000 [22:03:29<2:50:21, 1.32s/step] Training: 89%|████████▉ | 62254/70000 [22:03:30<2:45:11, 1.28s/step] Training: 89%|████████▉ | 62255/70000 [22:03:31<2:44:08, 1.27s/step] Training: 89%|████████▉ | 62256/70000 [22:03:33<2:46:03, 1.29s/step] Training: 89%|████████▉ | 62257/70000 [22:03:34<2:47:30, 1.30s/step] Training: 89%|████████▉ | 62258/70000 [22:03:35<2:43:21, 1.27s/step] Training: 89%|████████▉ | 62259/70000 [22:03:36<2:41:47, 1.25s/step] Training: 89%|████████▉ | 62260/70000 [22:03:38<2:39:18, 1.23s/step] Training: 89%|████████▉ | 62261/70000 [22:03:39<2:43:31, 1.27s/step] Training: 89%|████████▉ | 62262/70000 [22:03:40<2:40:10, 1.24s/step] Training: 89%|████████▉ | 62263/70000 [22:03:41<2:44:11, 1.27s/step] Training: 89%|████████▉ | 62264/70000 [22:03:43<2:41:05, 1.25s/step] Training: 89%|████████▉ | 62265/70000 [22:03:44<2:46:00, 1.29s/step] Training: 89%|████████▉ | 62266/70000 [22:03:45<2:42:28, 1.26s/step] Training: 89%|████████▉ | 62267/70000 [22:03:46<2:40:32, 1.25s/step] Training: 89%|████████▉ | 62268/70000 [22:03:48<2:38:44, 1.23s/step] Training: 89%|████████▉ | 62269/70000 [22:03:49<2:40:01, 1.24s/step] Training: 89%|████████▉ | 62270/70000 [22:03:50<2:37:58, 1.23s/step] Training: 89%|████████▉ | 62271/70000 [22:03:51<2:42:00, 1.26s/step] Training: 89%|████████▉ | 62272/70000 [22:03:53<2:40:59, 1.25s/step] Training: 89%|████████▉ | 62273/70000 [22:03:54<2:41:34, 1.25s/step] Training: 89%|████████▉ | 62274/70000 [22:03:55<2:38:57, 1.23s/step] Training: 89%|████████▉ | 62275/70000 [22:03:56<2:37:18, 1.22s/step] Training: 89%|████████▉ | 62276/70000 [22:03:58<2:41:27, 1.25s/step] Training: 89%|████████▉ | 62277/70000 [22:03:59<2:41:43, 1.26s/step] Training: 89%|████████▉ | 62278/70000 [22:04:00<2:41:07, 1.25s/step] Training: 89%|████████▉ | 62279/70000 [22:04:02<2:44:25, 1.28s/step] Training: 89%|████████▉ | 62280/70000 [22:04:03<2:41:05, 1.25s/step] Training: 89%|████████▉ | 62281/70000 [22:04:04<2:47:59, 1.31s/step] Training: 89%|████████▉ | 62282/70000 [22:04:05<2:43:21, 1.27s/step] Training: 89%|████████▉ | 62283/70000 [22:04:07<2:40:14, 1.25s/step] Training: 89%|████████▉ | 62284/70000 [22:04:08<2:38:00, 1.23s/step] Training: 89%|████████▉ | 62285/70000 [22:04:09<2:41:20, 1.25s/step] Training: 89%|████████▉ | 62286/70000 [22:04:10<2:45:05, 1.28s/step] Training: 89%|████████▉ | 62287/70000 [22:04:12<2:44:12, 1.28s/step] Training: 89%|████████▉ | 62288/70000 [22:04:13<2:40:50, 1.25s/step] Training: 89%|████████▉ | 62289/70000 [22:04:14<2:44:01, 1.28s/step] Training: 89%|████████▉ | 62290/70000 [22:04:15<2:40:39, 1.25s/step] Training: 89%|████████▉ | 62291/70000 [22:04:17<2:40:05, 1.25s/step] Training: 89%|████████▉ | 62292/70000 [22:04:18<2:37:50, 1.23s/step] Training: 89%|████████▉ | 62293/70000 [22:04:19<2:36:47, 1.22s/step] Training: 89%|████████▉ | 62294/70000 [22:04:20<2:38:58, 1.24s/step] Training: 89%|████████▉ | 62295/70000 [22:04:22<2:42:11, 1.26s/step] Training: 89%|████████▉ | 62296/70000 [22:04:23<2:40:11, 1.25s/step] Training: 89%|████████▉ | 62297/70000 [22:04:24<2:44:54, 1.28s/step] Training: 89%|████████▉ | 62298/70000 [22:04:25<2:41:13, 1.26s/step] Training: 89%|████████▉ | 62299/70000 [22:04:27<2:39:15, 1.24s/step] Training: 89%|████████▉ | 62300/70000 [22:04:28<2:37:27, 1.23s/step]INFO 2026-03-13 18:14:20 ot_train.py:435 step:62K smpl:4M ep:14K epch:52.81 loss:0.007 grdn:0.599 lr:1.7e-06 updt_s:1.238 data_s:0.019 Training: 89%|████████▉ | 62301/70000 [22:04:29<2:37:52, 1.23s/step] Training: 89%|████████▉ | 62302/70000 [22:04:30<2:36:17, 1.22s/step] Training: 89%|████████▉ | 62303/70000 [22:04:32<2:44:30, 1.28s/step] Training: 89%|████████▉ | 62304/70000 [22:04:33<2:41:46, 1.26s/step] Training: 89%|████████▉ | 62305/70000 [22:04:34<2:41:40, 1.26s/step] Training: 89%|████████▉ | 62306/70000 [22:04:35<2:39:01, 1.24s/step] Training: 89%|████████▉ | 62307/70000 [22:04:37<2:42:22, 1.27s/step] Training: 89%|████████▉ | 62308/70000 [22:04:38<2:39:26, 1.24s/step] Training: 89%|████████▉ | 62309/70000 [22:04:39<2:37:15, 1.23s/step] Training: 89%|████████▉ | 62310/70000 [22:04:40<2:46:33, 1.30s/step] Training: 89%|████████▉ | 62311/70000 [22:04:42<2:47:26, 1.31s/step] Training: 89%|████████▉ | 62312/70000 [22:04:43<2:48:22, 1.31s/step] Training: 89%|████████▉ | 62313/70000 [22:04:44<2:48:52, 1.32s/step] Training: 89%|████████▉ | 62314/70000 [22:04:46<2:43:52, 1.28s/step] Training: 89%|████████▉ | 62315/70000 [22:04:47<2:45:37, 1.29s/step] Training: 89%|████████▉ | 62316/70000 [22:04:48<2:41:39, 1.26s/step] Training: 89%|████████▉ | 62317/70000 [22:04:49<2:44:05, 1.28s/step] Training: 89%|████████▉ | 62318/70000 [22:04:51<2:40:29, 1.25s/step] Training: 89%|████████▉ | 62319/70000 [22:04:52<2:44:17, 1.28s/step] Training: 89%|████████▉ | 62320/70000 [22:04:53<2:45:35, 1.29s/step] Training: 89%|████████▉ | 62321/70000 [22:04:55<2:46:59, 1.30s/step] Training: 89%|████████▉ | 62322/70000 [22:04:56<2:42:26, 1.27s/step] Training: 89%|████████▉ | 62323/70000 [22:04:57<2:40:42, 1.26s/step] Training: 89%|████████▉ | 62324/70000 [22:04:58<2:38:12, 1.24s/step] Training: 89%|████████▉ | 62325/70000 [22:04:59<2:36:55, 1.23s/step] Training: 89%|████████▉ | 62326/70000 [22:05:01<2:35:31, 1.22s/step] Training: 89%|████████▉ | 62327/70000 [22:05:02<2:42:42, 1.27s/step] Training: 89%|████████▉ | 62328/70000 [22:05:03<2:40:41, 1.26s/step] Training: 89%|████████▉ | 62329/70000 [22:05:05<2:44:51, 1.29s/step] Training: 89%|████████▉ | 62330/70000 [22:05:06<2:41:01, 1.26s/step] Training: 89%|████████▉ | 62331/70000 [22:05:07<2:38:57, 1.24s/step] Training: 89%|████████▉ | 62332/70000 [22:05:08<2:36:50, 1.23s/step] Training: 89%|████████▉ | 62333/70000 [22:05:09<2:36:48, 1.23s/step] Training: 89%|████████▉ | 62334/70000 [22:05:11<2:35:16, 1.22s/step] Training: 89%|████████▉ | 62335/70000 [22:05:12<2:39:49, 1.25s/step] Training: 89%|████████▉ | 62336/70000 [22:05:13<2:38:25, 1.24s/step] Training: 89%|████████▉ | 62337/70000 [22:05:14<2:39:36, 1.25s/step] Training: 89%|████████▉ | 62338/70000 [22:05:16<2:37:27, 1.23s/step] Training: 89%|████████▉ | 62339/70000 [22:05:17<2:40:57, 1.26s/step] Training: 89%|████████▉ | 62340/70000 [22:05:18<2:38:09, 1.24s/step] Training: 89%|████████▉ | 62341/70000 [22:05:19<2:36:16, 1.22s/step] Training: 89%|████████▉ | 62342/70000 [22:05:21<2:39:25, 1.25s/step] Training: 89%|████████▉ | 62343/70000 [22:05:22<2:44:39, 1.29s/step] Training: 89%|████████▉ | 62344/70000 [22:05:23<2:46:05, 1.30s/step] Training: 89%|████████▉ | 62345/70000 [22:05:25<2:43:56, 1.28s/step] Training: 89%|████████▉ | 62346/70000 [22:05:26<2:43:17, 1.28s/step] Training: 89%|████████▉ | 62347/70000 [22:05:27<2:45:49, 1.30s/step] Training: 89%|████████▉ | 62348/70000 [22:05:28<2:41:47, 1.27s/step] Training: 89%|████████▉ | 62349/70000 [22:05:30<2:43:57, 1.29s/step] Training: 89%|████████▉ | 62350/70000 [22:05:31<2:40:15, 1.26s/step] Training: 89%|████████▉ | 62351/70000 [22:05:32<2:39:51, 1.25s/step] Training: 89%|████████▉ | 62352/70000 [22:05:34<2:43:10, 1.28s/step] Training: 89%|████████▉ | 62353/70000 [22:05:35<2:46:25, 1.31s/step] Training: 89%|████████▉ | 62354/70000 [22:05:36<2:41:59, 1.27s/step] Training: 89%|████████▉ | 62355/70000 [22:05:37<2:40:27, 1.26s/step] Training: 89%|████████▉ | 62356/70000 [22:05:39<2:37:52, 1.24s/step] Training: 89%|████████▉ | 62357/70000 [22:05:40<2:36:33, 1.23s/step] Training: 89%|████████▉ | 62358/70000 [22:05:41<2:35:03, 1.22s/step] Training: 89%|████████▉ | 62359/70000 [22:05:42<2:39:29, 1.25s/step] Training: 89%|████████▉ | 62360/70000 [22:05:44<2:43:09, 1.28s/step] Training: 89%|████████▉ | 62361/70000 [22:05:45<2:48:22, 1.32s/step] Training: 89%|████████▉ | 62362/70000 [22:05:46<2:43:19, 1.28s/step] Training: 89%|████████▉ | 62363/70000 [22:05:47<2:40:24, 1.26s/step] Training: 89%|████████▉ | 62364/70000 [22:05:49<2:38:06, 1.24s/step] Training: 89%|████████▉ | 62365/70000 [22:05:50<2:37:31, 1.24s/step] Training: 89%|████████▉ | 62366/70000 [22:05:51<2:35:32, 1.22s/step] Training: 89%|████████▉ | 62367/70000 [22:05:52<2:39:35, 1.25s/step] Training: 89%|████████▉ | 62368/70000 [22:05:54<2:41:05, 1.27s/step] Training: 89%|████████▉ | 62369/70000 [22:05:55<2:45:13, 1.30s/step] Training: 89%|████████▉ | 62370/70000 [22:05:56<2:41:03, 1.27s/step] Training: 89%|████████▉ | 62371/70000 [22:05:58<2:43:33, 1.29s/step] Training: 89%|████████▉ | 62372/70000 [22:05:59<2:39:55, 1.26s/step] Training: 89%|████████▉ | 62373/70000 [22:06:00<2:37:20, 1.24s/step] Training: 89%|████████▉ | 62374/70000 [22:06:01<2:39:57, 1.26s/step] Training: 89%|████████▉ | 62375/70000 [22:06:03<2:45:14, 1.30s/step] Training: 89%|████████▉ | 62376/70000 [22:06:04<2:47:09, 1.32s/step] Training: 89%|████████▉ | 62377/70000 [22:06:05<2:42:47, 1.28s/step] Training: 89%|████████▉ | 62378/70000 [22:06:06<2:39:19, 1.25s/step] Training: 89%|████████▉ | 62379/70000 [22:06:08<2:42:25, 1.28s/step] Training: 89%|████████▉ | 62380/70000 [22:06:09<2:39:00, 1.25s/step] Training: 89%|████████▉ | 62381/70000 [22:06:10<2:41:46, 1.27s/step] Training: 89%|████████▉ | 62382/70000 [22:06:11<2:38:46, 1.25s/step] Training: 89%|████████▉ | 62383/70000 [22:06:13<2:37:22, 1.24s/step] Training: 89%|████████▉ | 62384/70000 [22:06:14<2:41:48, 1.27s/step] Training: 89%|████████▉ | 62385/70000 [22:06:15<2:44:18, 1.29s/step] Training: 89%|████████▉ | 62386/70000 [22:06:17<2:40:18, 1.26s/step] Training: 89%|████████▉ | 62387/70000 [22:06:18<2:39:04, 1.25s/step] Training: 89%|████████▉ | 62388/70000 [22:06:19<2:36:44, 1.24s/step] Training: 89%|████████▉ | 62389/70000 [22:06:20<2:35:45, 1.23s/step] Training: 89%|████████▉ | 62390/70000 [22:06:21<2:34:19, 1.22s/step] Training: 89%|████████▉ | 62391/70000 [22:06:23<2:38:54, 1.25s/step] Training: 89%|████████▉ | 62392/70000 [22:06:24<2:37:38, 1.24s/step] Training: 89%|████████▉ | 62393/70000 [22:06:25<2:45:21, 1.30s/step] Training: 89%|████████▉ | 62394/70000 [22:06:27<2:41:07, 1.27s/step] Training: 89%|████████▉ | 62395/70000 [22:06:28<2:38:41, 1.25s/step] Training: 89%|████████▉ | 62396/70000 [22:06:29<2:36:20, 1.23s/step] Training: 89%|████████▉ | 62397/70000 [22:06:30<2:35:56, 1.23s/step] Training: 89%|████████▉ | 62398/70000 [22:06:31<2:34:23, 1.22s/step] Training: 89%|████████▉ | 62399/70000 [22:06:33<2:38:22, 1.25s/step] Training: 89%|████████▉ | 62400/70000 [22:06:34<2:37:16, 1.24s/step]INFO 2026-03-13 18:16:26 ot_train.py:435 step:62K smpl:4M ep:14K epch:52.89 loss:0.007 grdn:1.025 lr:1.7e-06 updt_s:1.241 data_s:0.019 Training: 89%|████████▉ | 62401/70000 [22:06:35<2:44:47, 1.30s/step] Training: 89%|████████▉ | 62402/70000 [22:06:37<2:40:40, 1.27s/step] Training: 89%|████████▉ | 62403/70000 [22:06:38<2:43:11, 1.29s/step] Training: 89%|████████▉ | 62404/70000 [22:06:39<2:39:28, 1.26s/step] Training: 89%|████████▉ | 62405/70000 [22:06:40<2:36:41, 1.24s/step] Training: 89%|████████▉ | 62406/70000 [22:06:42<2:39:27, 1.26s/step] Training: 89%|████████▉ | 62407/70000 [22:06:43<2:38:53, 1.26s/step] Training: 89%|████████▉ | 62408/70000 [22:06:44<2:41:44, 1.28s/step] Training: 89%|████████▉ | 62409/70000 [22:06:45<2:43:31, 1.29s/step] Training: 89%|████████▉ | 62410/70000 [22:06:47<2:39:22, 1.26s/step] Training: 89%|████████▉ | 62411/70000 [22:06:48<2:42:12, 1.28s/step] Training: 89%|████████▉ | 62412/70000 [22:06:49<2:38:45, 1.26s/step] Training: 89%|████████▉ | 62413/70000 [22:06:51<2:41:46, 1.28s/step] Training: 89%|████████▉ | 62414/70000 [22:06:52<2:38:27, 1.25s/step] Training: 89%|████████▉ | 62415/70000 [22:06:53<2:39:11, 1.26s/step] Training: 89%|████████▉ | 62416/70000 [22:06:54<2:41:53, 1.28s/step] Training: 89%|████████▉ | 62417/70000 [22:06:56<2:45:35, 1.31s/step] Training: 89%|████████▉ | 62418/70000 [22:06:57<2:40:45, 1.27s/step] Training: 89%|████████▉ | 62419/70000 [22:06:58<2:39:23, 1.26s/step] Training: 89%|████████▉ | 62420/70000 [22:06:59<2:36:34, 1.24s/step] Training: 89%|████████▉ | 62421/70000 [22:07:00<2:35:04, 1.23s/step] Training: 89%|████████▉ | 62422/70000 [22:07:02<2:33:53, 1.22s/step] Training: 89%|████████▉ | 62423/70000 [22:07:03<2:38:08, 1.25s/step] Training: 89%|████████▉ | 62424/70000 [22:07:04<2:36:48, 1.24s/step] Training: 89%|████████▉ | 62425/70000 [22:07:06<2:40:18, 1.27s/step] Training: 89%|████████▉ | 62426/70000 [22:07:07<2:37:25, 1.25s/step] Training: 89%|████████▉ | 62427/70000 [22:07:08<2:35:44, 1.23s/step] Training: 89%|████████▉ | 62428/70000 [22:07:09<2:34:10, 1.22s/step] Training: 89%|████████▉ | 62429/70000 [22:07:10<2:34:12, 1.22s/step] Training: 89%|████████▉ | 62430/70000 [22:07:12<2:33:06, 1.21s/step] Training: 89%|████████▉ | 62431/70000 [22:07:13<2:37:14, 1.25s/step] Training: 89%|████████▉ | 62432/70000 [22:07:14<2:35:27, 1.23s/step] Training: 89%|████████▉ | 62433/70000 [22:07:15<2:41:05, 1.28s/step] Training: 89%|████████▉ | 62434/70000 [22:07:17<2:43:55, 1.30s/step] Training: 89%|████████▉ | 62435/70000 [22:07:18<2:44:36, 1.31s/step] Training: 89%|████████▉ | 62436/70000 [22:07:19<2:40:29, 1.27s/step] Training: 89%|████████▉ | 62437/70000 [22:07:21<2:37:13, 1.25s/step] Training: 89%|████████▉ | 62438/70000 [22:07:22<2:39:45, 1.27s/step] Training: 89%|████████▉ | 62439/70000 [22:07:23<2:43:53, 1.30s/step] Training: 89%|████████▉ | 62440/70000 [22:07:25<2:45:05, 1.31s/step] Training: 89%|████████▉ | 62441/70000 [22:07:26<2:41:19, 1.28s/step] Training: 89%|████████▉ | 62442/70000 [22:07:27<2:42:58, 1.29s/step] Training: 89%|████████▉ | 62443/70000 [22:07:28<2:44:06, 1.30s/step] Training: 89%|████████▉ | 62444/70000 [22:07:30<2:39:51, 1.27s/step] Training: 89%|████████▉ | 62445/70000 [22:07:31<2:36:54, 1.25s/step] Training: 89%|████████▉ | 62446/70000 [22:07:32<2:34:41, 1.23s/step] Training: 89%|████████▉ | 62447/70000 [22:07:33<2:38:14, 1.26s/step] Training: 89%|████████▉ | 62448/70000 [22:07:35<2:41:24, 1.28s/step] Training: 89%|████████▉ | 62449/70000 [22:07:36<2:42:44, 1.29s/step] Training: 89%|████████▉ | 62450/70000 [22:07:37<2:44:52, 1.31s/step] Training: 89%|████████▉ | 62451/70000 [22:07:39<2:41:38, 1.28s/step] Training: 89%|████████▉ | 62452/70000 [22:07:40<2:38:00, 1.26s/step] Training: 89%|████████▉ | 62453/70000 [22:07:41<2:36:36, 1.25s/step] Training: 89%|████████▉ | 62454/70000 [22:07:42<2:34:35, 1.23s/step] Training: 89%|████████▉ | 62455/70000 [22:07:43<2:38:14, 1.26s/step] Training: 89%|████████▉ | 62456/70000 [22:07:45<2:36:51, 1.25s/step] Training: 89%|████████▉ | 62457/70000 [22:07:46<2:40:10, 1.27s/step] Training: 89%|████████▉ | 62458/70000 [22:07:47<2:36:56, 1.25s/step] Training: 89%|████████▉ | 62459/70000 [22:07:49<2:40:27, 1.28s/step] Training: 89%|████████▉ | 62460/70000 [22:07:50<2:36:53, 1.25s/step] Training: 89%|████████▉ | 62461/70000 [22:07:51<2:35:19, 1.24s/step] Training: 89%|████████▉ | 62462/70000 [22:07:52<2:33:29, 1.22s/step] Training: 89%|████████▉ | 62463/70000 [22:07:53<2:37:31, 1.25s/step] Training: 89%|████████▉ | 62464/70000 [22:07:55<2:35:34, 1.24s/step] Training: 89%|████████▉ | 62465/70000 [22:07:56<2:40:45, 1.28s/step] Training: 89%|████████▉ | 62466/70000 [22:07:57<2:37:18, 1.25s/step] Training: 89%|████████▉ | 62467/70000 [22:07:59<2:44:53, 1.31s/step] Training: 89%|████████▉ | 62468/70000 [22:08:00<2:40:23, 1.28s/step] Training: 89%|████████▉ | 62469/70000 [22:08:01<2:42:18, 1.29s/step] Training: 89%|████████▉ | 62470/70000 [22:08:02<2:38:20, 1.26s/step] Training: 89%|████████▉ | 62471/70000 [22:08:04<2:42:27, 1.29s/step] Training: 89%|████████▉ | 62472/70000 [22:08:05<2:43:25, 1.30s/step] Training: 89%|████████▉ | 62473/70000 [22:08:06<2:40:28, 1.28s/step] Training: 89%|████████▉ | 62474/70000 [22:08:08<2:37:19, 1.25s/step] Training: 89%|████████▉ | 62475/70000 [22:08:09<2:40:26, 1.28s/step] Training: 89%|████████▉ | 62476/70000 [22:08:10<2:37:13, 1.25s/step] Training: 89%|████████▉ | 62477/70000 [22:08:11<2:40:12, 1.28s/step] Training: 89%|████████▉ | 62478/70000 [22:08:13<2:36:59, 1.25s/step] Training: 89%|████████▉ | 62479/70000 [22:08:14<2:40:00, 1.28s/step] Training: 89%|████████▉ | 62480/70000 [22:08:15<2:41:51, 1.29s/step] Training: 89%|████████▉ | 62481/70000 [22:08:17<2:43:42, 1.31s/step] Training: 89%|████████▉ | 62482/70000 [22:08:18<2:39:15, 1.27s/step] Training: 89%|████████▉ | 62483/70000 [22:08:19<2:37:44, 1.26s/step] Training: 89%|████████▉ | 62484/70000 [22:08:20<2:35:33, 1.24s/step] Training: 89%|████████▉ | 62485/70000 [22:08:21<2:34:53, 1.24s/step] Training: 89%|████████▉ | 62486/70000 [22:08:23<2:33:04, 1.22s/step] Training: 89%|████████▉ | 62487/70000 [22:08:24<2:37:03, 1.25s/step] Training: 89%|████████▉ | 62488/70000 [22:08:25<2:36:13, 1.25s/step] Training: 89%|████████▉ | 62489/70000 [22:08:27<2:39:07, 1.27s/step] Training: 89%|████████▉ | 62490/70000 [22:08:28<2:40:40, 1.28s/step] Training: 89%|████████▉ | 62491/70000 [22:08:29<2:40:22, 1.28s/step] Training: 89%|████████▉ | 62492/70000 [22:08:30<2:36:43, 1.25s/step] Training: 89%|████████▉ | 62493/70000 [22:08:31<2:34:55, 1.24s/step] Training: 89%|████████▉ | 62494/70000 [22:08:33<2:33:10, 1.22s/step] Training: 89%|████████▉ | 62495/70000 [22:08:34<2:37:22, 1.26s/step] Training: 89%|████████▉ | 62496/70000 [22:08:35<2:35:17, 1.24s/step] Training: 89%|████████▉ | 62497/70000 [22:08:36<2:34:41, 1.24s/step] Training: 89%|████████▉ | 62498/70000 [22:08:38<2:37:42, 1.26s/step] Training: 89%|████████▉ | 62499/70000 [22:08:39<2:40:15, 1.28s/step] Training: 89%|████████▉ | 62500/70000 [22:08:40<2:42:53, 1.30s/step]INFO 2026-03-13 18:18:33 ot_train.py:435 step:62K smpl:4M ep:14K epch:52.98 loss:0.008 grdn:1.651 lr:1.7e-06 updt_s:1.245 data_s:0.019 Training: 89%|████████▉ | 62501/70000 [22:08:42<2:43:15, 1.31s/step] Training: 89%|████████▉ | 62502/70000 [22:08:43<2:38:51, 1.27s/step] Training: 89%|████████▉ | 62503/70000 [22:08:44<2:41:37, 1.29s/step] Training: 89%|████████▉ | 62504/70000 [22:08:46<2:43:00, 1.30s/step] Training: 89%|████████▉ | 62505/70000 [22:08:47<2:39:23, 1.28s/step] Training: 89%|████████▉ | 62506/70000 [22:08:48<2:36:15, 1.25s/step] Training: 89%|████████▉ | 62507/70000 [22:08:49<2:39:10, 1.27s/step] Training: 89%|████████▉ | 62508/70000 [22:08:51<2:39:00, 1.27s/step] Training: 89%|████████▉ | 62509/70000 [22:08:52<2:40:47, 1.29s/step] Training: 89%|████████▉ | 62510/70000 [22:08:53<2:37:14, 1.26s/step] Training: 89%|████████▉ | 62511/70000 [22:08:54<2:39:45, 1.28s/step] Training: 89%|████████▉ | 62512/70000 [22:08:56<2:41:36, 1.29s/step] Training: 89%|████████▉ | 62513/70000 [22:08:57<2:43:30, 1.31s/step] Training: 89%|████████▉ | 62514/70000 [22:08:58<2:39:23, 1.28s/step] Training: 89%|████████▉ | 62515/70000 [22:09:00<2:37:36, 1.26s/step] Training: 89%|████████▉ | 62516/70000 [22:09:01<2:34:44, 1.24s/step] Training: 89%|████████▉ | 62517/70000 [22:09:02<2:38:45, 1.27s/step] Training: 89%|████████▉ | 62518/70000 [22:09:03<2:35:19, 1.25s/step] Training: 89%|████████▉ | 62519/70000 [22:09:05<2:38:06, 1.27s/step] Training: 89%|████████▉ | 62520/70000 [22:09:06<2:39:47, 1.28s/step] Training: 89%|████████▉ | 62521/70000 [22:09:07<2:41:09, 1.29s/step] Training: 89%|████████▉ | 62522/70000 [22:09:08<2:37:18, 1.26s/step] Training: 89%|████████▉ | 62523/70000 [22:09:10<2:39:15, 1.28s/step] Training: 89%|████████▉ | 62524/70000 [22:09:11<2:42:08, 1.30s/step] Training: 89%|████████▉ | 62525/70000 [22:09:12<2:38:28, 1.27s/step] Training: 89%|████████▉ | 62526/70000 [22:09:14<2:35:41, 1.25s/step] Training: 89%|████████▉ | 62527/70000 [22:09:15<2:35:21, 1.25s/step] Training: 89%|████████▉ | 62528/70000 [22:09:16<2:38:03, 1.27s/step] Training: 89%|████████▉ | 62529/70000 [22:09:17<2:36:44, 1.26s/step] Training: 89%|████████▉ | 62530/70000 [22:09:19<2:34:54, 1.24s/step] Training: 89%|████████▉ | 62531/70000 [22:09:20<2:38:17, 1.27s/step] Training: 89%|████████▉ | 62532/70000 [22:09:21<2:35:08, 1.25s/step] Training: 89%|████████▉ | 62533/70000 [22:09:22<2:43:03, 1.31s/step] Training: 89%|████████▉ | 62534/70000 [22:09:24<2:38:28, 1.27s/step] Training: 89%|████████▉ | 62535/70000 [22:09:25<2:41:16, 1.30s/step] Training: 89%|████████▉ | 62536/70000 [22:09:26<2:45:48, 1.33s/step] Training: 89%|████████▉ | 62537/70000 [22:09:28<2:41:54, 1.30s/step] Training: 89%|████████▉ | 62538/70000 [22:09:29<2:42:51, 1.31s/step] Training: 89%|████████▉ | 62539/70000 [22:09:30<2:43:43, 1.32s/step] Training: 89%|████████▉ | 62540/70000 [22:09:33<3:26:33, 1.66s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 89%|████████▉ | 62541/70000 [22:09:37<5:02:43, 2.44s/step] Training: 89%|████████▉ | 62542/70000 [22:09:38<4:16:17, 2.06s/step] Training: 89%|████████▉ | 62543/70000 [22:09:40<3:51:01, 1.86s/step] Training: 89%|████████▉ | 62544/70000 [22:09:41<3:33:37, 1.72s/step] Training: 89%|████████▉ | 62545/70000 [22:09:42<3:20:56, 1.62s/step] Training: 89%|████████▉ | 62546/70000 [22:09:44<3:12:10, 1.55s/step] Training: 89%|████████▉ | 62547/70000 [22:09:45<3:02:48, 1.47s/step] Training: 89%|████████▉ | 62548/70000 [22:09:46<2:52:20, 1.39s/step] Training: 89%|████████▉ | 62549/70000 [22:09:48<2:51:15, 1.38s/step] Training: 89%|████████▉ | 62550/70000 [22:09:49<2:43:52, 1.32s/step] Training: 89%|████████▉ | 62551/70000 [22:09:50<2:44:42, 1.33s/step] Training: 89%|████████▉ | 62552/70000 [22:09:51<2:42:02, 1.31s/step] Training: 89%|████████▉ | 62553/70000 [22:09:53<2:42:32, 1.31s/step] Training: 89%|████████▉ | 62554/70000 [22:09:54<2:44:01, 1.32s/step] Training: 89%|████████▉ | 62555/70000 [22:09:55<2:39:50, 1.29s/step] Training: 89%|████████▉ | 62556/70000 [22:09:56<2:36:42, 1.26s/step] Training: 89%|████████▉ | 62557/70000 [22:09:58<2:37:16, 1.27s/step] Training: 89%|████████▉ | 62558/70000 [22:09:59<2:34:03, 1.24s/step] Training: 89%|████████▉ | 62559/70000 [22:10:00<2:33:09, 1.24s/step] Training: 89%|████████▉ | 62560/70000 [22:10:01<2:33:41, 1.24s/step] Training: 89%|████████▉ | 62561/70000 [22:10:03<2:33:12, 1.24s/step] Training: 89%|████████▉ | 62562/70000 [22:10:04<2:32:40, 1.23s/step] Training: 89%|████████▉ | 62563/70000 [22:10:05<2:36:20, 1.26s/step] Training: 89%|████████▉ | 62564/70000 [22:10:06<2:33:50, 1.24s/step] Training: 89%|████████▉ | 62565/70000 [22:10:08<2:37:10, 1.27s/step] Training: 89%|████████▉ | 62566/70000 [22:10:09<2:40:01, 1.29s/step] Training: 89%|████████▉ | 62567/70000 [22:10:10<2:42:05, 1.31s/step] Training: 89%|████████▉ | 62568/70000 [22:10:12<2:44:32, 1.33s/step] Training: 89%|████████▉ | 62569/70000 [22:10:13<2:40:51, 1.30s/step] Training: 89%|████████▉ | 62570/70000 [22:10:14<2:42:12, 1.31s/step] Training: 89%|████████▉ | 62571/70000 [22:10:16<2:42:51, 1.32s/step] Training: 89%|████████▉ | 62572/70000 [22:10:17<2:38:22, 1.28s/step] Training: 89%|████████▉ | 62573/70000 [22:10:18<2:35:02, 1.25s/step] Training: 89%|████████▉ | 62574/70000 [22:10:20<2:41:50, 1.31s/step] Training: 89%|████████▉ | 62575/70000 [22:10:21<2:42:38, 1.31s/step] Training: 89%|████████▉ | 62576/70000 [22:10:22<2:43:06, 1.32s/step] Training: 89%|████████▉ | 62577/70000 [22:10:24<2:43:53, 1.32s/step] Training: 89%|████████▉ | 62578/70000 [22:10:25<2:38:53, 1.28s/step] Training: 89%|████████▉ | 62579/70000 [22:10:26<2:40:11, 1.30s/step] Training: 89%|████████▉ | 62580/70000 [22:10:27<2:36:39, 1.27s/step] Training: 89%|████████▉ | 62581/70000 [22:10:28<2:33:31, 1.24s/step] Training: 89%|████████▉ | 62582/70000 [22:10:30<2:36:39, 1.27s/step] Training: 89%|████████▉ | 62583/70000 [22:10:31<2:35:12, 1.26s/step] Training: 89%|████████▉ | 62584/70000 [22:10:32<2:33:55, 1.25s/step] Training: 89%|████████▉ | 62585/70000 [22:10:33<2:31:47, 1.23s/step] Training: 89%|████████▉ | 62586/70000 [22:10:35<2:35:14, 1.26s/step] Training: 89%|████████▉ | 62587/70000 [22:10:36<2:37:35, 1.28s/step] Training: 89%|████████▉ | 62588/70000 [22:10:37<2:34:38, 1.25s/step] Training: 89%|████████▉ | 62589/70000 [22:10:38<2:32:12, 1.23s/step] Training: 89%|████████▉ | 62590/70000 [22:10:40<2:37:14, 1.27s/step] Training: 89%|████████▉ | 62591/70000 [22:10:41<2:34:31, 1.25s/step] Training: 89%|████████▉ | 62592/70000 [22:10:42<2:34:27, 1.25s/step] Training: 89%|████████▉ | 62593/70000 [22:10:43<2:32:11, 1.23s/step] Training: 89%|████████▉ | 62594/70000 [22:10:45<2:34:40, 1.25s/step] Training: 89%|████████▉ | 62595/70000 [22:10:46<2:41:53, 1.31s/step] Training: 89%|████████▉ | 62596/70000 [22:10:47<2:37:26, 1.28s/step] Training: 89%|████████▉ | 62597/70000 [22:10:49<2:34:11, 1.25s/step] Training: 89%|████████▉ | 62598/70000 [22:10:50<2:31:54, 1.23s/step] Training: 89%|████████▉ | 62599/70000 [22:10:51<2:39:40, 1.29s/step] Training: 89%|████████▉ | 62600/70000 [22:10:52<2:40:53, 1.30s/step]INFO 2026-03-13 18:20:45 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.06 loss:0.007 grdn:0.593 lr:1.7e-06 updt_s:1.259 data_s:0.059 Training: 89%|████████▉ | 62601/70000 [22:10:54<2:36:33, 1.27s/step] Training: 89%|████████▉ | 62602/70000 [22:10:55<2:38:51, 1.29s/step] Training: 89%|████████▉ | 62603/70000 [22:10:56<2:40:18, 1.30s/step] Training: 89%|████████▉ | 62604/70000 [22:10:58<2:36:24, 1.27s/step] Training: 89%|████████▉ | 62605/70000 [22:10:59<2:33:21, 1.24s/step] Training: 89%|████████▉ | 62606/70000 [22:11:00<2:36:22, 1.27s/step] Training: 89%|████████▉ | 62607/70000 [22:11:02<2:43:18, 1.33s/step] Training: 89%|████████▉ | 62608/70000 [22:11:03<2:43:55, 1.33s/step] Training: 89%|████████▉ | 62609/70000 [22:11:04<2:38:37, 1.29s/step] Training: 89%|████████▉ | 62610/70000 [22:11:05<2:44:03, 1.33s/step] Training: 89%|████████▉ | 62611/70000 [22:11:07<2:40:09, 1.30s/step] Training: 89%|████████▉ | 62612/70000 [22:11:08<2:35:58, 1.27s/step] Training: 89%|████████▉ | 62613/70000 [22:11:09<2:33:02, 1.24s/step] Training: 89%|████████▉ | 62614/70000 [22:11:10<2:31:45, 1.23s/step] Training: 89%|████████▉ | 62615/70000 [22:11:12<2:32:52, 1.24s/step] Training: 89%|████████▉ | 62616/70000 [22:11:13<2:37:17, 1.28s/step] Training: 89%|████████▉ | 62617/70000 [22:11:14<2:33:58, 1.25s/step] Training: 89%|████████▉ | 62618/70000 [22:11:15<2:38:30, 1.29s/step] Training: 89%|████████▉ | 62619/70000 [22:11:17<2:36:35, 1.27s/step] Training: 89%|████████▉ | 62620/70000 [22:11:18<2:33:32, 1.25s/step] Training: 89%|████████▉ | 62621/70000 [22:11:19<2:31:19, 1.23s/step] Training: 89%|████████▉ | 62622/70000 [22:11:20<2:34:40, 1.26s/step] Training: 89%|████████▉ | 62623/70000 [22:11:22<2:34:39, 1.26s/step] Training: 89%|████████▉ | 62624/70000 [22:11:23<2:34:13, 1.25s/step] Training: 89%|████████▉ | 62625/70000 [22:11:24<2:31:51, 1.24s/step] Training: 89%|████████▉ | 62626/70000 [22:11:25<2:31:09, 1.23s/step] Training: 89%|████████▉ | 62627/70000 [22:11:27<2:29:48, 1.22s/step] Training: 89%|████████▉ | 62628/70000 [22:11:28<2:33:38, 1.25s/step] Training: 89%|████████▉ | 62629/70000 [22:11:29<2:31:16, 1.23s/step] Training: 89%|████████▉ | 62630/70000 [22:11:30<2:34:57, 1.26s/step] Training: 89%|████████▉ | 62631/70000 [22:11:32<2:34:50, 1.26s/step] Training: 89%|████████▉ | 62632/70000 [22:11:33<2:39:54, 1.30s/step] Training: 89%|████████▉ | 62633/70000 [22:11:34<2:35:41, 1.27s/step] Training: 89%|████████▉ | 62634/70000 [22:11:36<2:38:23, 1.29s/step] Training: 89%|████████▉ | 62635/70000 [22:11:37<2:39:36, 1.30s/step] Training: 89%|████████▉ | 62636/70000 [22:11:38<2:35:32, 1.27s/step] Training: 89%|████████▉ | 62637/70000 [22:11:39<2:32:33, 1.24s/step] Training: 89%|████████▉ | 62638/70000 [22:11:41<2:35:40, 1.27s/step] Training: 89%|████████▉ | 62639/70000 [22:11:42<2:32:48, 1.25s/step] Training: 89%|████████▉ | 62640/70000 [22:11:43<2:39:56, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=71532 Training: 89%|████████▉ | 62641/70000 [22:11:44<2:35:43, 1.27s/step] Training: 89%|████████▉ | 62642/70000 [22:11:46<2:37:56, 1.29s/step] Training: 89%|████████▉ | 62643/70000 [22:11:47<2:34:44, 1.26s/step] Training: 89%|████████▉ | 62644/70000 [22:11:48<2:32:06, 1.24s/step] Training: 89%|████████▉ | 62645/70000 [22:11:49<2:30:14, 1.23s/step] Training: 89%|████████▉ | 62646/70000 [22:11:51<2:29:43, 1.22s/step] Training: 89%|████████▉ | 62647/70000 [22:11:52<2:30:04, 1.22s/step] Training: 89%|████████▉ | 62648/70000 [22:11:53<2:36:05, 1.27s/step] Training: 89%|████████▉ | 62649/70000 [22:11:54<2:33:12, 1.25s/step] Training: 90%|████████▉ | 62650/70000 [22:11:56<2:38:00, 1.29s/step] Training: 90%|████████▉ | 62651/70000 [22:11:57<2:35:47, 1.27s/step] Training: 90%|████████▉ | 62652/70000 [22:11:58<2:32:42, 1.25s/step] Training: 90%|████████▉ | 62653/70000 [22:11:59<2:30:39, 1.23s/step] Training: 90%|████████▉ | 62654/70000 [22:12:01<2:34:32, 1.26s/step] Training: 90%|████████▉ | 62655/70000 [22:12:02<2:32:45, 1.25s/step] Training: 90%|████████▉ | 62656/70000 [22:12:03<2:33:42, 1.26s/step] Training: 90%|████████▉ | 62657/70000 [22:12:04<2:30:50, 1.23s/step] Training: 90%|████████▉ | 62658/70000 [22:12:06<2:29:56, 1.23s/step] Training: 90%|████████▉ | 62659/70000 [22:12:07<2:28:43, 1.22s/step] Training: 90%|████████▉ | 62660/70000 [22:12:08<2:32:23, 1.25s/step] Training: 90%|████████▉ | 62661/70000 [22:12:09<2:30:25, 1.23s/step] Training: 90%|████████▉ | 62662/70000 [22:12:11<2:34:10, 1.26s/step] Training: 90%|████████▉ | 62663/70000 [22:12:12<2:36:44, 1.28s/step] Training: 90%|████████▉ | 62664/70000 [22:12:13<2:38:47, 1.30s/step] Training: 90%|████████▉ | 62665/70000 [22:12:15<2:40:11, 1.31s/step] Training: 90%|████████▉ | 62666/70000 [22:12:16<2:41:14, 1.32s/step] Training: 90%|████████▉ | 62667/70000 [22:12:17<2:36:35, 1.28s/step] Training: 90%|████████▉ | 62668/70000 [22:12:18<2:33:07, 1.25s/step] Training: 90%|████████▉ | 62669/70000 [22:12:19<2:30:46, 1.23s/step] Training: 90%|████████▉ | 62670/70000 [22:12:21<2:34:17, 1.26s/step] Training: 90%|████████▉ | 62671/70000 [22:12:22<2:31:38, 1.24s/step] Training: 90%|████████▉ | 62672/70000 [22:12:23<2:39:27, 1.31s/step] Training: 90%|████████▉ | 62673/70000 [22:12:25<2:38:54, 1.30s/step] Training: 90%|████████▉ | 62674/70000 [22:12:26<2:39:44, 1.31s/step] Training: 90%|████████▉ | 62675/70000 [22:12:27<2:37:10, 1.29s/step] Training: 90%|████████▉ | 62676/70000 [22:12:29<2:33:32, 1.26s/step] Training: 90%|████████▉ | 62677/70000 [22:12:30<2:31:07, 1.24s/step] Training: 90%|████████▉ | 62678/70000 [22:12:31<2:30:27, 1.23s/step] Training: 90%|████████▉ | 62679/70000 [22:12:32<2:28:51, 1.22s/step] Training: 90%|████████▉ | 62680/70000 [22:12:34<2:35:44, 1.28s/step] Training: 90%|████████▉ | 62681/70000 [22:12:35<2:38:50, 1.30s/step] Training: 90%|████████▉ | 62682/70000 [22:12:36<2:39:28, 1.31s/step] Training: 90%|████████▉ | 62683/70000 [22:12:37<2:36:16, 1.28s/step] Training: 90%|████████▉ | 62684/70000 [22:12:39<2:32:53, 1.25s/step] Training: 90%|████████▉ | 62685/70000 [22:12:40<2:30:35, 1.24s/step] Training: 90%|████████▉ | 62686/70000 [22:12:41<2:33:49, 1.26s/step] Training: 90%|████████▉ | 62687/70000 [22:12:42<2:31:06, 1.24s/step] Training: 90%|████████▉ | 62688/70000 [22:12:44<2:36:19, 1.28s/step] Training: 90%|████████▉ | 62689/70000 [22:12:45<2:39:27, 1.31s/step] Training: 90%|████████▉ | 62690/70000 [22:12:46<2:35:26, 1.28s/step] Training: 90%|████████▉ | 62691/70000 [22:12:48<2:37:50, 1.30s/step] Training: 90%|████████▉ | 62692/70000 [22:12:49<2:33:59, 1.26s/step] Training: 90%|████████▉ | 62693/70000 [22:12:50<2:31:05, 1.24s/step] Training: 90%|████████▉ | 62694/70000 [22:12:51<2:34:09, 1.27s/step] Training: 90%|████████▉ | 62695/70000 [22:12:53<2:31:21, 1.24s/step] Training: 90%|████████▉ | 62696/70000 [22:12:54<2:34:38, 1.27s/step] Training: 90%|████████▉ | 62697/70000 [22:12:55<2:31:45, 1.25s/step] Training: 90%|████████▉ | 62698/70000 [22:12:56<2:38:45, 1.30s/step] Training: 90%|████████▉ | 62699/70000 [22:12:58<2:39:45, 1.31s/step] Training: 90%|████████▉ | 62700/70000 [22:12:59<2:35:15, 1.28s/step]INFO 2026-03-13 18:22:51 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.14 loss:0.007 grdn:0.559 lr:1.6e-06 updt_s:1.244 data_s:0.019 Training: 90%|████████▉ | 62701/70000 [22:13:00<2:32:02, 1.25s/step] Training: 90%|████████▉ | 62702/70000 [22:13:02<2:34:35, 1.27s/step] Training: 90%|████████▉ | 62703/70000 [22:13:03<2:31:35, 1.25s/step] Training: 90%|████████▉ | 62704/70000 [22:13:04<2:36:03, 1.28s/step] Training: 90%|████████▉ | 62705/70000 [22:13:05<2:32:33, 1.25s/step] Training: 90%|████████▉ | 62706/70000 [22:13:07<2:39:20, 1.31s/step] Training: 90%|████████▉ | 62707/70000 [22:13:08<2:39:40, 1.31s/step] Training: 90%|████████▉ | 62708/70000 [22:13:09<2:35:08, 1.28s/step] Training: 90%|████████▉ | 62709/70000 [22:13:10<2:31:52, 1.25s/step] Training: 90%|████████▉ | 62710/70000 [22:13:12<2:30:26, 1.24s/step] Training: 90%|████████▉ | 62711/70000 [22:13:13<2:28:35, 1.22s/step] Training: 90%|████████▉ | 62712/70000 [22:13:14<2:33:49, 1.27s/step] Training: 90%|████████▉ | 62713/70000 [22:13:15<2:31:02, 1.24s/step] Training: 90%|████████▉ | 62714/70000 [22:13:17<2:30:34, 1.24s/step] Training: 90%|████████▉ | 62715/70000 [22:13:18<2:33:54, 1.27s/step] Training: 90%|████████▉ | 62716/70000 [22:13:19<2:31:02, 1.24s/step] Training: 90%|████████▉ | 62717/70000 [22:13:20<2:29:07, 1.23s/step] Training: 90%|████████▉ | 62718/70000 [22:13:22<2:32:56, 1.26s/step] Training: 90%|████████▉ | 62719/70000 [22:13:23<2:30:19, 1.24s/step] Training: 90%|████████▉ | 62720/70000 [22:13:24<2:34:44, 1.28s/step] Training: 90%|████████▉ | 62721/70000 [22:13:25<2:31:41, 1.25s/step] Training: 90%|████████▉ | 62722/70000 [22:13:27<2:31:58, 1.25s/step] Training: 90%|████████▉ | 62723/70000 [22:13:28<2:34:46, 1.28s/step] Training: 90%|████████▉ | 62724/70000 [22:13:29<2:31:42, 1.25s/step] Training: 90%|████████▉ | 62725/70000 [22:13:30<2:29:30, 1.23s/step] Training: 90%|████████▉ | 62726/70000 [22:13:32<2:32:46, 1.26s/step] Training: 90%|████████▉ | 62727/70000 [22:13:33<2:30:11, 1.24s/step] Training: 90%|████████▉ | 62728/70000 [22:13:34<2:33:54, 1.27s/step] Training: 90%|████████▉ | 62729/70000 [22:13:35<2:30:57, 1.25s/step] Training: 90%|████████▉ | 62730/70000 [22:13:37<2:34:09, 1.27s/step] Training: 90%|████████▉ | 62731/70000 [22:13:38<2:39:21, 1.32s/step] Training: 90%|████████▉ | 62732/70000 [22:13:39<2:34:41, 1.28s/step] Training: 90%|████████▉ | 62733/70000 [22:13:41<2:31:36, 1.25s/step] Training: 90%|████████▉ | 62734/70000 [22:13:42<2:34:31, 1.28s/step] Training: 90%|████████▉ | 62735/70000 [22:13:43<2:31:27, 1.25s/step] Training: 90%|████████▉ | 62736/70000 [22:13:44<2:35:56, 1.29s/step] Training: 90%|████████▉ | 62737/70000 [22:13:46<2:32:16, 1.26s/step] Training: 90%|████████▉ | 62738/70000 [22:13:47<2:35:01, 1.28s/step] Training: 90%|████████▉ | 62739/70000 [22:13:48<2:37:01, 1.30s/step] Training: 90%|████████▉ | 62740/70000 [22:13:49<2:32:47, 1.26s/step] Training: 90%|████████▉ | 62741/70000 [22:13:51<2:30:08, 1.24s/step] Training: 90%|████████▉ | 62742/70000 [22:13:52<2:28:57, 1.23s/step] Training: 90%|████████▉ | 62743/70000 [22:13:53<2:27:28, 1.22s/step] Training: 90%|████████▉ | 62744/70000 [22:13:54<2:31:33, 1.25s/step] Training: 90%|████████▉ | 62745/70000 [22:13:56<2:29:17, 1.23s/step] Training: 90%|████████▉ | 62746/70000 [22:13:57<2:29:02, 1.23s/step] Training: 90%|████████▉ | 62747/70000 [22:13:58<2:32:35, 1.26s/step] Training: 90%|████████▉ | 62748/70000 [22:13:59<2:33:07, 1.27s/step] Training: 90%|████████▉ | 62749/70000 [22:14:01<2:30:26, 1.24s/step] Training: 90%|████████▉ | 62750/70000 [22:14:02<2:34:01, 1.27s/step] Training: 90%|████████▉ | 62751/70000 [22:14:03<2:30:57, 1.25s/step] Training: 90%|████████▉ | 62752/70000 [22:14:04<2:34:47, 1.28s/step] Training: 90%|████████▉ | 62753/70000 [22:14:06<2:31:34, 1.25s/step] Training: 90%|████████▉ | 62754/70000 [22:14:07<2:29:51, 1.24s/step] Training: 90%|████████▉ | 62755/70000 [22:14:08<2:34:20, 1.28s/step] Training: 90%|████████▉ | 62756/70000 [22:14:09<2:30:43, 1.25s/step] Training: 90%|████████▉ | 62757/70000 [22:14:11<2:28:32, 1.23s/step] Training: 90%|████████▉ | 62758/70000 [22:14:12<2:32:11, 1.26s/step] Training: 90%|████████▉ | 62759/70000 [22:14:13<2:29:37, 1.24s/step] Training: 90%|████████▉ | 62760/70000 [22:14:14<2:33:09, 1.27s/step] Training: 90%|████████▉ | 62761/70000 [22:14:16<2:30:30, 1.25s/step] Training: 90%|████████▉ | 62762/70000 [22:14:17<2:33:19, 1.27s/step] Training: 90%|████████▉ | 62763/70000 [22:14:18<2:36:36, 1.30s/step] Training: 90%|████████▉ | 62764/70000 [22:14:20<2:38:50, 1.32s/step] Training: 90%|████████▉ | 62765/70000 [22:14:21<2:33:56, 1.28s/step] Training: 90%|████████▉ | 62766/70000 [22:14:22<2:35:32, 1.29s/step] Training: 90%|████████▉ | 62767/70000 [22:14:23<2:32:03, 1.26s/step] Training: 90%|████████▉ | 62768/70000 [22:14:25<2:35:57, 1.29s/step] Training: 90%|████████▉ | 62769/70000 [22:14:26<2:32:08, 1.26s/step] Training: 90%|████████▉ | 62770/70000 [22:14:27<2:34:29, 1.28s/step] Training: 90%|████████▉ | 62771/70000 [22:14:29<2:34:16, 1.28s/step] Training: 90%|████████▉ | 62772/70000 [22:14:30<2:36:40, 1.30s/step] Training: 90%|████████▉ | 62773/70000 [22:14:31<2:32:32, 1.27s/step] Training: 90%|████████▉ | 62774/70000 [22:14:32<2:29:57, 1.25s/step] Training: 90%|████████▉ | 62775/70000 [22:14:34<2:27:58, 1.23s/step] Training: 90%|████████▉ | 62776/70000 [22:14:35<2:31:48, 1.26s/step] Training: 90%|████████▉ | 62777/70000 [22:14:36<2:29:08, 1.24s/step] Training: 90%|████████▉ | 62778/70000 [22:14:37<2:28:38, 1.23s/step] Training: 90%|████████▉ | 62779/70000 [22:14:38<2:28:05, 1.23s/step] Training: 90%|████████▉ | 62780/70000 [22:14:40<2:30:11, 1.25s/step] Training: 90%|████████▉ | 62781/70000 [22:14:41<2:28:02, 1.23s/step] Training: 90%|████████▉ | 62782/70000 [22:14:42<2:31:25, 1.26s/step] Training: 90%|████████▉ | 62783/70000 [22:14:43<2:28:56, 1.24s/step] Training: 90%|████████▉ | 62784/70000 [22:14:45<2:33:16, 1.27s/step] Training: 90%|████████▉ | 62785/70000 [22:14:46<2:30:24, 1.25s/step] Training: 90%|████████▉ | 62786/70000 [22:14:47<2:29:02, 1.24s/step] Training: 90%|████████▉ | 62787/70000 [22:14:49<2:32:12, 1.27s/step] Training: 90%|████████▉ | 62788/70000 [22:14:50<2:30:52, 1.26s/step] Training: 90%|████████▉ | 62789/70000 [22:14:51<2:28:28, 1.24s/step] Training: 90%|████████▉ | 62790/70000 [22:14:52<2:31:41, 1.26s/step] Training: 90%|████████▉ | 62791/70000 [22:14:54<2:29:14, 1.24s/step] Training: 90%|████████▉ | 62792/70000 [22:14:55<2:32:35, 1.27s/step] Training: 90%|████████▉ | 62793/70000 [22:14:56<2:29:36, 1.25s/step] Training: 90%|████████▉ | 62794/70000 [22:14:57<2:32:30, 1.27s/step] Training: 90%|████████▉ | 62795/70000 [22:14:59<2:36:10, 1.30s/step] Training: 90%|████████▉ | 62796/70000 [22:15:00<2:34:41, 1.29s/step] Training: 90%|████████▉ | 62797/70000 [22:15:01<2:30:42, 1.26s/step] Training: 90%|████████▉ | 62798/70000 [22:15:02<2:29:40, 1.25s/step] Training: 90%|████████▉ | 62799/70000 [22:15:04<2:27:34, 1.23s/step] Training: 90%|████████▉ | 62800/70000 [22:15:05<2:33:09, 1.28s/step]INFO 2026-03-13 18:24:57 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.23 loss:0.008 grdn:1.355 lr:1.6e-06 updt_s:1.239 data_s:0.019 Training: 90%|████████▉ | 62801/70000 [22:15:06<2:29:58, 1.25s/step] Training: 90%|████████▉ | 62802/70000 [22:15:07<2:32:48, 1.27s/step] Training: 90%|████████▉ | 62803/70000 [22:15:09<2:31:11, 1.26s/step] Training: 90%|████████▉ | 62804/70000 [22:15:10<2:28:39, 1.24s/step] Training: 90%|████████▉ | 62805/70000 [22:15:11<2:32:15, 1.27s/step] Training: 90%|████████▉ | 62806/70000 [22:15:12<2:30:06, 1.25s/step] Training: 90%|████████▉ | 62807/70000 [22:15:14<2:27:50, 1.23s/step] Training: 90%|████████▉ | 62808/70000 [22:15:15<2:32:37, 1.27s/step] Training: 90%|████████▉ | 62809/70000 [22:15:16<2:29:31, 1.25s/step] Training: 90%|████████▉ | 62810/70000 [22:15:17<2:29:16, 1.25s/step] Training: 90%|████████▉ | 62811/70000 [22:15:19<2:32:21, 1.27s/step] Training: 90%|████████▉ | 62812/70000 [22:15:20<2:29:17, 1.25s/step] Training: 90%|████████▉ | 62813/70000 [22:15:21<2:29:45, 1.25s/step] Training: 90%|████████▉ | 62814/70000 [22:15:23<2:32:18, 1.27s/step] Training: 90%|████████▉ | 62815/70000 [22:15:24<2:29:24, 1.25s/step] Training: 90%|████████▉ | 62816/70000 [22:15:25<2:32:46, 1.28s/step] Training: 90%|████████▉ | 62817/70000 [22:15:26<2:29:55, 1.25s/step] Training: 90%|████████▉ | 62818/70000 [22:15:27<2:28:23, 1.24s/step] Training: 90%|████████▉ | 62819/70000 [22:15:29<2:31:32, 1.27s/step] Training: 90%|████████▉ | 62820/70000 [22:15:30<2:28:52, 1.24s/step] Training: 90%|████████▉ | 62821/70000 [22:15:31<2:26:53, 1.23s/step] Training: 90%|████████▉ | 62822/70000 [22:15:33<2:34:07, 1.29s/step] Training: 90%|████████▉ | 62823/70000 [22:15:34<2:30:29, 1.26s/step] Training: 90%|████████▉ | 62824/70000 [22:15:35<2:33:27, 1.28s/step] Training: 90%|████████▉ | 62825/70000 [22:15:36<2:30:01, 1.25s/step] Training: 90%|████████▉ | 62826/70000 [22:15:38<2:32:36, 1.28s/step] Training: 90%|████████▉ | 62827/70000 [22:15:39<2:30:50, 1.26s/step] Training: 90%|████████▉ | 62828/70000 [22:15:40<2:28:08, 1.24s/step] Training: 90%|████████▉ | 62829/70000 [22:15:41<2:32:14, 1.27s/step] Training: 90%|████████▉ | 62830/70000 [22:15:43<2:30:16, 1.26s/step] Training: 90%|████████▉ | 62831/70000 [22:15:44<2:27:50, 1.24s/step] Training: 90%|████████▉ | 62832/70000 [22:15:45<2:32:45, 1.28s/step] Training: 90%|████████▉ | 62833/70000 [22:15:46<2:29:33, 1.25s/step] Training: 90%|████████▉ | 62834/70000 [22:15:48<2:32:02, 1.27s/step] Training: 90%|████████▉ | 62835/70000 [22:15:49<2:31:59, 1.27s/step] Training: 90%|████████▉ | 62836/70000 [22:15:50<2:29:08, 1.25s/step] Training: 90%|████████▉ | 62837/70000 [22:15:51<2:26:59, 1.23s/step] Training: 90%|████████▉ | 62838/70000 [22:15:53<2:30:59, 1.26s/step] Training: 90%|████████▉ | 62839/70000 [22:15:54<2:27:56, 1.24s/step] Training: 90%|████████▉ | 62840/70000 [22:15:55<2:28:17, 1.24s/step] Training: 90%|████████▉ | 62841/70000 [22:15:56<2:26:28, 1.23s/step] Training: 90%|████████▉ | 62842/70000 [22:15:58<2:26:30, 1.23s/step] Training: 90%|████████▉ | 62843/70000 [22:15:59<2:30:16, 1.26s/step] Training: 90%|████████▉ | 62844/70000 [22:16:00<2:27:46, 1.24s/step] Training: 90%|████████▉ | 62845/70000 [22:16:01<2:26:04, 1.22s/step] Training: 90%|████████▉ | 62846/70000 [22:16:03<2:34:12, 1.29s/step] Training: 90%|████████▉ | 62847/70000 [22:16:04<2:30:19, 1.26s/step] Training: 90%|████████▉ | 62848/70000 [22:16:05<2:34:15, 1.29s/step] Training: 90%|████████▉ | 62849/70000 [22:16:07<2:30:32, 1.26s/step] Training: 90%|████████▉ | 62850/70000 [22:16:08<2:28:27, 1.25s/step] Training: 90%|████████▉ | 62851/70000 [22:16:09<2:32:08, 1.28s/step] Training: 90%|████████▉ | 62852/70000 [22:16:10<2:29:17, 1.25s/step] Training: 90%|████████▉ | 62853/70000 [22:16:11<2:26:51, 1.23s/step] Training: 90%|████████▉ | 62854/70000 [22:16:13<2:30:28, 1.26s/step] Training: 90%|████████▉ | 62855/70000 [22:16:14<2:27:50, 1.24s/step] Training: 90%|████████▉ | 62856/70000 [22:16:15<2:31:13, 1.27s/step] Training: 90%|████████▉ | 62857/70000 [22:16:16<2:28:32, 1.25s/step] Training: 90%|████████▉ | 62858/70000 [22:16:18<2:31:19, 1.27s/step] Training: 90%|████████▉ | 62859/70000 [22:16:19<2:35:04, 1.30s/step] Training: 90%|████████▉ | 62860/70000 [22:16:20<2:31:06, 1.27s/step] Training: 90%|████████▉ | 62861/70000 [22:16:22<2:28:19, 1.25s/step] Training: 90%|████████▉ | 62862/70000 [22:16:23<2:27:51, 1.24s/step] Training: 90%|████████▉ | 62863/70000 [22:16:24<2:25:50, 1.23s/step] Training: 90%|████████▉ | 62864/70000 [22:16:25<2:30:40, 1.27s/step] Training: 90%|████████▉ | 62865/70000 [22:16:27<2:28:00, 1.24s/step] Training: 90%|████████▉ | 62866/70000 [22:16:28<2:30:52, 1.27s/step] Training: 90%|████████▉ | 62867/70000 [22:16:29<2:30:08, 1.26s/step] Training: 90%|████████▉ | 62868/70000 [22:16:30<2:27:30, 1.24s/step] Training: 90%|████████▉ | 62869/70000 [22:16:32<2:25:38, 1.23s/step] Training: 90%|████████▉ | 62870/70000 [22:16:33<2:26:43, 1.23s/step] Training: 90%|████████▉ | 62871/70000 [22:16:34<2:24:39, 1.22s/step] Training: 90%|████████▉ | 62872/70000 [22:16:35<2:29:43, 1.26s/step] Training: 90%|████████▉ | 62873/70000 [22:16:37<2:27:13, 1.24s/step] Training: 90%|████████▉ | 62874/70000 [22:16:38<2:26:32, 1.23s/step] Training: 90%|████████▉ | 62875/70000 [22:16:39<2:29:38, 1.26s/step] Training: 90%|████████▉ | 62876/70000 [22:16:40<2:27:01, 1.24s/step] Training: 90%|████████▉ | 62877/70000 [22:16:41<2:25:10, 1.22s/step] Training: 90%|████████▉ | 62878/70000 [22:16:43<2:28:57, 1.25s/step] Training: 90%|████████▉ | 62879/70000 [22:16:44<2:31:57, 1.28s/step] Training: 90%|████████▉ | 62880/70000 [22:16:45<2:35:25, 1.31s/step] Training: 90%|████████▉ | 62881/70000 [22:16:47<2:31:08, 1.27s/step] Training: 90%|████████▉ | 62882/70000 [22:16:48<2:28:39, 1.25s/step] Training: 90%|████████▉ | 62883/70000 [22:16:49<2:31:15, 1.28s/step] Training: 90%|████████▉ | 62884/70000 [22:16:50<2:28:13, 1.25s/step] Training: 90%|████████▉ | 62885/70000 [22:16:52<2:25:56, 1.23s/step] Training: 90%|████████▉ | 62886/70000 [22:16:53<2:29:17, 1.26s/step] Training: 90%|████████▉ | 62887/70000 [22:16:54<2:29:25, 1.26s/step] Training: 90%|████████▉ | 62888/70000 [22:16:55<2:31:49, 1.28s/step] Training: 90%|████████▉ | 62889/70000 [22:16:57<2:28:46, 1.26s/step] Training: 90%|████████▉ | 62890/70000 [22:16:58<2:31:19, 1.28s/step] Training: 90%|████████▉ | 62891/70000 [22:16:59<2:29:23, 1.26s/step] Training: 90%|████████▉ | 62892/70000 [22:17:00<2:26:44, 1.24s/step] Training: 90%|████████▉ | 62893/70000 [22:17:02<2:24:51, 1.22s/step] Training: 90%|████████▉ | 62894/70000 [22:17:03<2:24:56, 1.22s/step] Training: 90%|████████▉ | 62895/70000 [22:17:04<2:23:43, 1.21s/step] Training: 90%|████████▉ | 62896/70000 [22:17:05<2:31:13, 1.28s/step] Training: 90%|████████▉ | 62897/70000 [22:17:07<2:28:06, 1.25s/step] Training: 90%|████████▉ | 62898/70000 [22:17:08<2:31:03, 1.28s/step] Training: 90%|████████▉ | 62899/70000 [22:17:09<2:30:12, 1.27s/step] Training: 90%|████████▉ | 62900/70000 [22:17:10<2:27:17, 1.24s/step]INFO 2026-03-13 18:27:03 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.31 loss:0.008 grdn:0.553 lr:1.6e-06 updt_s:1.233 data_s:0.019 Training: 90%|████████▉ | 62901/70000 [22:17:12<2:25:18, 1.23s/step] Training: 90%|████████▉ | 62902/70000 [22:17:13<2:24:34, 1.22s/step] Training: 90%|████████▉ | 62903/70000 [22:17:14<2:29:25, 1.26s/step] Training: 90%|████████▉ | 62904/70000 [22:17:15<2:31:20, 1.28s/step] Training: 90%|████████▉ | 62905/70000 [22:17:17<2:32:19, 1.29s/step] Training: 90%|████████▉ | 62906/70000 [22:17:18<2:30:11, 1.27s/step] Training: 90%|████████▉ | 62907/70000 [22:17:19<2:32:12, 1.29s/step] Training: 90%|████████▉ | 62908/70000 [22:17:21<2:28:38, 1.26s/step] Training: 90%|████████▉ | 62909/70000 [22:17:22<2:26:10, 1.24s/step] Training: 90%|████████▉ | 62910/70000 [22:17:23<2:29:09, 1.26s/step] Training: 90%|████████▉ | 62911/70000 [22:17:24<2:26:32, 1.24s/step] Training: 90%|████████▉ | 62912/70000 [22:17:26<2:32:52, 1.29s/step] Training: 90%|████████▉ | 62913/70000 [22:17:27<2:33:52, 1.30s/step] Training: 90%|████████▉ | 62914/70000 [22:17:28<2:31:06, 1.28s/step] Training: 90%|████████▉ | 62915/70000 [22:17:30<2:32:50, 1.29s/step] Training: 90%|████████▉ | 62916/70000 [22:17:31<2:29:06, 1.26s/step] Training: 90%|████████▉ | 62917/70000 [22:17:32<2:26:26, 1.24s/step] Training: 90%|████████▉ | 62918/70000 [22:17:33<2:29:19, 1.27s/step] Training: 90%|████████▉ | 62919/70000 [22:17:34<2:26:38, 1.24s/step] Training: 90%|████████▉ | 62920/70000 [22:17:36<2:33:10, 1.30s/step] Training: 90%|████████▉ | 62921/70000 [22:17:37<2:29:29, 1.27s/step] Training: 90%|████████▉ | 62922/70000 [22:17:38<2:26:47, 1.24s/step] Training: 90%|████████▉ | 62923/70000 [22:17:40<2:34:40, 1.31s/step] Training: 90%|████████▉ | 62924/70000 [22:17:41<2:30:25, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=71532 Training: 90%|████████▉ | 62925/70000 [22:17:42<2:27:42, 1.25s/step] Training: 90%|████████▉ | 62926/70000 [22:17:43<2:26:23, 1.24s/step] Training: 90%|████████▉ | 62927/70000 [22:17:44<2:24:34, 1.23s/step] Training: 90%|████████▉ | 62928/70000 [22:17:46<2:29:47, 1.27s/step] Training: 90%|████████▉ | 62929/70000 [22:17:47<2:26:56, 1.25s/step] Training: 90%|████████▉ | 62930/70000 [22:17:48<2:29:33, 1.27s/step] Training: 90%|████████▉ | 62931/70000 [22:17:50<2:28:58, 1.26s/step] Training: 90%|████████▉ | 62932/70000 [22:17:51<2:26:28, 1.24s/step] Training: 90%|████████▉ | 62933/70000 [22:17:52<2:24:42, 1.23s/step] Training: 90%|████████▉ | 62934/70000 [22:17:53<2:23:37, 1.22s/step] Training: 90%|████████▉ | 62935/70000 [22:17:54<2:22:34, 1.21s/step] Training: 90%|████████▉ | 62936/70000 [22:17:56<2:28:35, 1.26s/step] Training: 90%|████████▉ | 62937/70000 [22:17:57<2:26:04, 1.24s/step] Training: 90%|████████▉ | 62938/70000 [22:17:58<2:24:57, 1.23s/step] Training: 90%|████████▉ | 62939/70000 [22:18:00<2:28:11, 1.26s/step] Training: 90%|████████▉ | 62940/70000 [22:18:01<2:25:43, 1.24s/step] Training: 90%|████████▉ | 62941/70000 [22:18:02<2:23:52, 1.22s/step] Training: 90%|████████▉ | 62942/70000 [22:18:03<2:27:23, 1.25s/step] Training: 90%|████████▉ | 62943/70000 [22:18:04<2:25:09, 1.23s/step] Training: 90%|████████▉ | 62944/70000 [22:18:06<2:29:51, 1.27s/step] Training: 90%|████████▉ | 62945/70000 [22:18:07<2:26:52, 1.25s/step] Training: 90%|████████▉ | 62946/70000 [22:18:08<2:29:28, 1.27s/step] Training: 90%|████████▉ | 62947/70000 [22:18:10<2:31:44, 1.29s/step] Training: 90%|████████▉ | 62948/70000 [22:18:11<2:28:02, 1.26s/step] Training: 90%|████████▉ | 62949/70000 [22:18:12<2:25:34, 1.24s/step] Training: 90%|████████▉ | 62950/70000 [22:18:13<2:28:54, 1.27s/step] Training: 90%|████████▉ | 62951/70000 [22:18:15<2:26:14, 1.24s/step] Training: 90%|████████▉ | 62952/70000 [22:18:16<2:29:14, 1.27s/step] Training: 90%|████████▉ | 62953/70000 [22:18:17<2:32:05, 1.29s/step] Training: 90%|████████▉ | 62954/70000 [22:18:18<2:29:02, 1.27s/step] Training: 90%|████████▉ | 62955/70000 [22:18:20<2:32:21, 1.30s/step] Training: 90%|████████▉ | 62956/70000 [22:18:21<2:28:29, 1.26s/step] Training: 90%|████████▉ | 62957/70000 [22:18:22<2:25:49, 1.24s/step] Training: 90%|████████▉ | 62958/70000 [22:18:23<2:25:12, 1.24s/step] Training: 90%|████████▉ | 62959/70000 [22:18:25<2:23:33, 1.22s/step] Training: 90%|████████▉ | 62960/70000 [22:18:26<2:29:15, 1.27s/step] Training: 90%|████████▉ | 62961/70000 [22:18:27<2:29:43, 1.28s/step] Training: 90%|████████▉ | 62962/70000 [22:18:29<2:31:27, 1.29s/step] Training: 90%|████████▉ | 62963/70000 [22:18:30<2:30:24, 1.28s/step] Training: 90%|████████▉ | 62964/70000 [22:18:31<2:27:05, 1.25s/step] Training: 90%|████████▉ | 62965/70000 [22:18:32<2:24:44, 1.23s/step] Training: 90%|████████▉ | 62966/70000 [22:18:33<2:24:05, 1.23s/step] Training: 90%|████████▉ | 62967/70000 [22:18:35<2:22:39, 1.22s/step] Training: 90%|████████▉ | 62968/70000 [22:18:36<2:26:35, 1.25s/step] Training: 90%|████████▉ | 62969/70000 [22:18:37<2:30:12, 1.28s/step] Training: 90%|████████▉ | 62970/70000 [22:18:39<2:31:15, 1.29s/step] Training: 90%|████████▉ | 62971/70000 [22:18:40<2:28:40, 1.27s/step] Training: 90%|████████▉ | 62972/70000 [22:18:41<2:28:57, 1.27s/step] Training: 90%|████████▉ | 62973/70000 [22:18:42<2:26:11, 1.25s/step] Training: 90%|████████▉ | 62974/70000 [22:18:44<2:29:12, 1.27s/step] Training: 90%|████████▉ | 62975/70000 [22:18:45<2:26:17, 1.25s/step] Training: 90%|████████▉ | 62976/70000 [22:18:46<2:30:25, 1.29s/step] Training: 90%|████████▉ | 62977/70000 [22:18:48<2:32:54, 1.31s/step] Training: 90%|████████▉ | 62978/70000 [22:18:49<2:33:22, 1.31s/step] Training: 90%|████████▉ | 62979/70000 [22:18:50<2:33:52, 1.32s/step] Training: 90%|████████▉ | 62980/70000 [22:18:51<2:29:33, 1.28s/step] Training: 90%|████████▉ | 62981/70000 [22:18:53<2:26:14, 1.25s/step] Training: 90%|████████▉ | 62982/70000 [22:18:54<2:28:52, 1.27s/step] Training: 90%|████████▉ | 62983/70000 [22:18:55<2:25:56, 1.25s/step] Training: 90%|████████▉ | 62984/70000 [22:18:56<2:29:05, 1.28s/step] Training: 90%|████████▉ | 62985/70000 [22:18:58<2:26:06, 1.25s/step] Training: 90%|████████▉ | 62986/70000 [22:18:59<2:28:56, 1.27s/step] Training: 90%|████████▉ | 62987/70000 [22:19:00<2:34:27, 1.32s/step] Training: 90%|████████▉ | 62988/70000 [22:19:02<2:29:52, 1.28s/step] Training: 90%|████████▉ | 62989/70000 [22:19:03<2:26:33, 1.25s/step] Training: 90%|████████▉ | 62990/70000 [22:19:04<2:25:23, 1.24s/step] Training: 90%|████████▉ | 62991/70000 [22:19:05<2:23:23, 1.23s/step] Training: 90%|████████▉ | 62992/70000 [22:19:07<2:29:15, 1.28s/step] Training: 90%|████████▉ | 62993/70000 [22:19:08<2:30:31, 1.29s/step] Training: 90%|████████▉ | 62994/70000 [22:19:09<2:34:54, 1.33s/step] Training: 90%|████████▉ | 62995/70000 [22:19:11<2:36:11, 1.34s/step] Training: 90%|████████▉ | 62996/70000 [22:19:12<2:31:01, 1.29s/step] Training: 90%|████████▉ | 62997/70000 [22:19:13<2:27:15, 1.26s/step] Training: 90%|████████▉ | 62998/70000 [22:19:14<2:25:22, 1.25s/step] Training: 90%|████████▉ | 62999/70000 [22:19:15<2:23:23, 1.23s/step] Training: 90%|█████████ | 63000/70000 [22:19:17<2:26:46, 1.26s/step]INFO 2026-03-13 18:29:09 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.40 loss:0.007 grdn:0.707 lr:1.6e-06 updt_s:1.242 data_s:0.019 Training: 90%|█████████ | 63001/70000 [22:19:18<2:26:13, 1.25s/step] Training: 90%|█████████ | 63002/70000 [22:19:19<2:29:41, 1.28s/step] Training: 90%|█████████ | 63003/70000 [22:19:21<2:28:03, 1.27s/step] Training: 90%|█████████ | 63004/70000 [22:19:22<2:25:11, 1.25s/step] Training: 90%|█████████ | 63005/70000 [22:19:23<2:23:17, 1.23s/step] Training: 90%|█████████ | 63006/70000 [22:19:24<2:26:28, 1.26s/step] Training: 90%|█████████ | 63007/70000 [22:19:25<2:24:07, 1.24s/step] Training: 90%|█████████ | 63008/70000 [22:19:27<2:27:21, 1.26s/step] Training: 90%|█████████ | 63009/70000 [22:19:28<2:25:47, 1.25s/step] Training: 90%|█████████ | 63010/70000 [22:19:29<2:28:18, 1.27s/step] Training: 90%|█████████ | 63011/70000 [22:19:31<2:30:12, 1.29s/step] Training: 90%|█████████ | 63012/70000 [22:19:32<2:26:36, 1.26s/step] Training: 90%|█████████ | 63013/70000 [22:19:33<2:24:05, 1.24s/step] Training: 90%|█████████ | 63014/70000 [22:19:34<2:27:02, 1.26s/step] Training: 90%|█████████ | 63015/70000 [22:19:36<2:24:30, 1.24s/step] Training: 90%|█████████ | 63016/70000 [22:19:37<2:27:18, 1.27s/step] Training: 90%|█████████ | 63017/70000 [22:19:38<2:29:28, 1.28s/step] Training: 90%|█████████ | 63018/70000 [22:19:39<2:26:55, 1.26s/step] Training: 90%|█████████ | 63019/70000 [22:19:41<2:33:13, 1.32s/step] Training: 90%|█████████ | 63020/70000 [22:19:42<2:28:39, 1.28s/step] Training: 90%|█████████ | 63021/70000 [22:19:43<2:25:34, 1.25s/step] Training: 90%|█████████ | 63022/70000 [22:19:45<2:24:52, 1.25s/step] Training: 90%|█████████ | 63023/70000 [22:19:46<2:22:47, 1.23s/step] Training: 90%|█████████ | 63024/70000 [22:19:47<2:27:33, 1.27s/step] Training: 90%|█████████ | 63025/70000 [22:19:48<2:29:18, 1.28s/step] Training: 90%|█████████ | 63026/70000 [22:19:50<2:30:39, 1.30s/step] Training: 90%|█████████ | 63027/70000 [22:19:51<2:34:26, 1.33s/step] Training: 90%|█████████ | 63028/70000 [22:19:52<2:29:25, 1.29s/step] Training: 90%|█████████ | 63029/70000 [22:19:53<2:26:15, 1.26s/step] Training: 90%|█████████ | 63030/70000 [22:19:55<2:24:32, 1.24s/step] Training: 90%|█████████ | 63031/70000 [22:19:56<2:22:45, 1.23s/step] Training: 90%|█████████ | 63032/70000 [22:19:57<2:26:16, 1.26s/step] Training: 90%|█████████ | 63033/70000 [22:19:59<2:28:27, 1.28s/step] Training: 90%|█████████ | 63034/70000 [22:20:00<2:30:05, 1.29s/step] Training: 90%|█████████ | 63035/70000 [22:20:01<2:28:05, 1.28s/step] Training: 90%|█████████ | 63036/70000 [22:20:02<2:31:02, 1.30s/step] Training: 90%|█████████ | 63037/70000 [22:20:04<2:26:51, 1.27s/step] Training: 90%|█████████ | 63038/70000 [22:20:05<2:29:01, 1.28s/step] Training: 90%|█████████ | 63039/70000 [22:20:06<2:25:40, 1.26s/step] Training: 90%|█████████ | 63040/70000 [22:20:07<2:28:12, 1.28s/step] Training: 90%|█████████ | 63041/70000 [22:20:09<2:25:52, 1.26s/step] Training: 90%|█████████ | 63042/70000 [22:20:10<2:27:59, 1.28s/step] Training: 90%|█████████ | 63043/70000 [22:20:11<2:31:20, 1.31s/step] Training: 90%|█████████ | 63044/70000 [22:20:13<2:27:53, 1.28s/step] Training: 90%|█████████ | 63045/70000 [22:20:14<2:24:57, 1.25s/step] Training: 90%|█████████ | 63046/70000 [22:20:15<2:27:27, 1.27s/step] Training: 90%|█████████ | 63047/70000 [22:20:16<2:24:31, 1.25s/step] Training: 90%|█████████ | 63048/70000 [22:20:18<2:27:31, 1.27s/step] Training: 90%|█████████ | 63049/70000 [22:20:19<2:29:31, 1.29s/step] Training: 90%|█████████ | 63050/70000 [22:20:20<2:26:42, 1.27s/step] Training: 90%|█████████ | 63051/70000 [22:20:22<2:29:20, 1.29s/step] Training: 90%|█████████ | 63052/70000 [22:20:23<2:31:17, 1.31s/step] Training: 90%|█████████ | 63053/70000 [22:20:24<2:27:10, 1.27s/step] Training: 90%|█████████ | 63054/70000 [22:20:25<2:25:04, 1.25s/step] Training: 90%|█████████ | 63055/70000 [22:20:26<2:22:50, 1.23s/step] Training: 90%|█████████ | 63056/70000 [22:20:28<2:28:42, 1.28s/step] Training: 90%|█████████ | 63057/70000 [22:20:29<2:30:06, 1.30s/step] Training: 90%|█████████ | 63058/70000 [22:20:31<2:31:09, 1.31s/step] Training: 90%|█████████ | 63059/70000 [22:20:32<2:33:25, 1.33s/step] Training: 90%|█████████ | 63060/70000 [22:20:33<2:34:46, 1.34s/step] Training: 90%|█████████ | 63061/70000 [22:20:34<2:29:18, 1.29s/step] Training: 90%|█████████ | 63062/70000 [22:20:36<2:26:26, 1.27s/step] Training: 90%|█████████ | 63063/70000 [22:20:37<2:24:01, 1.25s/step] Training: 90%|█████████ | 63064/70000 [22:20:38<2:26:28, 1.27s/step] Training: 90%|█████████ | 63065/70000 [22:20:39<2:28:30, 1.28s/step] Training: 90%|█████████ | 63066/70000 [22:20:41<2:29:45, 1.30s/step] Training: 90%|█████████ | 63067/70000 [22:20:42<2:26:45, 1.27s/step] Training: 90%|█████████ | 63068/70000 [22:20:43<2:23:58, 1.25s/step] Training: 90%|█████████ | 63069/70000 [22:20:44<2:22:02, 1.23s/step] Training: 90%|█████████ | 63070/70000 [22:20:46<2:25:30, 1.26s/step] Training: 90%|█████████ | 63071/70000 [22:20:47<2:23:04, 1.24s/step] Training: 90%|█████████ | 63072/70000 [22:20:48<2:27:57, 1.28s/step] Training: 90%|█████████ | 63073/70000 [22:20:50<2:25:47, 1.26s/step] Training: 90%|█████████ | 63074/70000 [22:20:51<2:27:52, 1.28s/step] Training: 90%|█████████ | 63075/70000 [22:20:52<2:29:21, 1.29s/step] Training: 90%|█████████ | 63076/70000 [22:20:53<2:27:34, 1.28s/step] Training: 90%|█████████ | 63077/70000 [22:20:55<2:24:32, 1.25s/step] Training: 90%|█████████ | 63078/70000 [22:20:56<2:26:51, 1.27s/step] Training: 90%|█████████ | 63079/70000 [22:20:57<2:23:59, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=28040 Training: 90%|█████████ | 63080/70000 [22:20:58<2:26:59, 1.27s/step] Training: 90%|█████████ | 63081/70000 [22:21:00<2:29:13, 1.29s/step] Training: 90%|█████████ | 63082/70000 [22:21:01<2:26:08, 1.27s/step] Training: 90%|█████████ | 63083/70000 [22:21:02<2:28:16, 1.29s/step] Training: 90%|█████████ | 63084/70000 [22:21:04<2:26:35, 1.27s/step] Training: 90%|█████████ | 63085/70000 [22:21:05<2:23:22, 1.24s/step] Training: 90%|█████████ | 63086/70000 [22:21:06<2:22:53, 1.24s/step] Training: 90%|█████████ | 63087/70000 [22:21:07<2:21:21, 1.23s/step] Training: 90%|█████████ | 63088/70000 [22:21:09<2:29:15, 1.30s/step] Training: 90%|█████████ | 63089/70000 [22:21:10<2:30:38, 1.31s/step] Training: 90%|█████████ | 63090/70000 [22:21:11<2:31:18, 1.31s/step] Training: 90%|█████████ | 63091/70000 [22:21:13<2:33:46, 1.34s/step] Training: 90%|█████████ | 63092/70000 [22:21:14<2:28:43, 1.29s/step] Training: 90%|█████████ | 63093/70000 [22:21:15<2:30:38, 1.31s/step] Training: 90%|█████████ | 63094/70000 [22:21:16<2:26:47, 1.28s/step] Training: 90%|█████████ | 63095/70000 [22:21:18<2:23:59, 1.25s/step] Training: 90%|█████████ | 63096/70000 [22:21:19<2:26:17, 1.27s/step] Training: 90%|█████████ | 63097/70000 [22:21:20<2:28:08, 1.29s/step] Training: 90%|█████████ | 63098/70000 [22:21:22<2:29:42, 1.30s/step] Training: 90%|█████████ | 63099/70000 [22:21:23<2:26:47, 1.28s/step] Training: 90%|█████████ | 63100/70000 [22:21:24<2:23:56, 1.25s/step]INFO 2026-03-13 18:31:16 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.48 loss:0.007 grdn:0.589 lr:1.6e-06 updt_s:1.251 data_s:0.019 Training: 90%|█████████ | 63101/70000 [22:21:25<2:25:21, 1.26s/step] Training: 90%|█████████ | 63102/70000 [22:21:27<2:27:37, 1.28s/step] Training: 90%|█████████ | 63103/70000 [22:21:28<2:24:22, 1.26s/step] Training: 90%|█████████ | 63104/70000 [22:21:29<2:28:01, 1.29s/step] Training: 90%|█████████ | 63105/70000 [22:21:30<2:25:29, 1.27s/step] Training: 90%|█████████ | 63106/70000 [22:21:32<2:27:25, 1.28s/step] Training: 90%|█████████ | 63107/70000 [22:21:33<2:29:06, 1.30s/step] Training: 90%|█████████ | 63108/70000 [22:21:34<2:25:32, 1.27s/step] Training: 90%|█████████ | 63109/70000 [22:21:36<2:28:06, 1.29s/step] Training: 90%|█████████ | 63110/70000 [22:21:37<2:28:53, 1.30s/step] Training: 90%|█████████ | 63111/70000 [22:21:38<2:25:09, 1.26s/step] Training: 90%|█████████ | 63112/70000 [22:21:39<2:27:25, 1.28s/step] Training: 90%|█████████ | 63113/70000 [22:21:41<2:28:50, 1.30s/step] Training: 90%|█████████ | 63114/70000 [22:21:42<2:25:27, 1.27s/step] Training: 90%|█████████ | 63115/70000 [22:21:43<2:27:57, 1.29s/step] Training: 90%|█████████ | 63116/70000 [22:21:44<2:24:27, 1.26s/step] Training: 90%|█████████ | 63117/70000 [22:21:46<2:28:05, 1.29s/step] Training: 90%|█████████ | 63118/70000 [22:21:47<2:25:40, 1.27s/step] Training: 90%|█████████ | 63119/70000 [22:21:48<2:22:47, 1.25s/step] Training: 90%|█████████ | 63120/70000 [22:21:50<2:26:57, 1.28s/step] Training: 90%|█████████ | 63121/70000 [22:21:51<2:28:47, 1.30s/step] Training: 90%|█████████ | 63122/70000 [22:21:52<2:29:53, 1.31s/step] Training: 90%|█████████ | 63123/70000 [22:21:54<2:31:57, 1.33s/step] Training: 90%|█████████ | 63124/70000 [22:21:55<2:27:10, 1.28s/step] Training: 90%|█████████ | 63125/70000 [22:21:56<2:23:55, 1.26s/step] Training: 90%|█████████ | 63126/70000 [22:21:57<2:27:07, 1.28s/step] Training: 90%|█████████ | 63127/70000 [22:21:59<2:23:44, 1.25s/step] Training: 90%|█████████ | 63128/70000 [22:22:00<2:26:04, 1.28s/step] Training: 90%|█████████ | 63129/70000 [22:22:01<2:27:55, 1.29s/step] Training: 90%|█████████ | 63130/70000 [22:22:03<2:29:05, 1.30s/step] Training: 90%|█████████ | 63131/70000 [22:22:04<2:26:18, 1.28s/step] Training: 90%|█████████ | 63132/70000 [22:22:05<2:23:25, 1.25s/step] Training: 90%|█████████ | 63133/70000 [22:22:06<2:21:11, 1.23s/step] Training: 90%|█████████ | 63134/70000 [22:22:08<2:28:29, 1.30s/step] Training: 90%|█████████ | 63135/70000 [22:22:09<2:24:49, 1.27s/step] Training: 90%|█████████ | 63136/70000 [22:22:10<2:28:25, 1.30s/step] Training: 90%|█████████ | 63137/70000 [22:22:11<2:25:23, 1.27s/step] Training: 90%|█████████ | 63138/70000 [22:22:13<2:27:06, 1.29s/step] Training: 90%|█████████ | 63139/70000 [22:22:14<2:28:36, 1.30s/step] Training: 90%|█████████ | 63140/70000 [22:22:15<2:29:58, 1.31s/step] Training: 90%|█████████ | 63141/70000 [22:22:17<2:31:40, 1.33s/step] Training: 90%|█████████ | 63142/70000 [22:22:18<2:31:11, 1.32s/step] Training: 90%|█████████ | 63143/70000 [22:22:19<2:26:38, 1.28s/step] Training: 90%|█████████ | 63144/70000 [22:22:21<2:27:58, 1.29s/step] Training: 90%|█████████ | 63145/70000 [22:22:22<2:29:15, 1.31s/step] Training: 90%|█████████ | 63146/70000 [22:22:23<2:25:47, 1.28s/step] Training: 90%|█████████ | 63147/70000 [22:22:24<2:27:43, 1.29s/step] Training: 90%|█████████ | 63148/70000 [22:22:26<2:26:45, 1.29s/step] Training: 90%|█████████ | 63149/70000 [22:22:27<2:29:21, 1.31s/step] Training: 90%|█████████ | 63150/70000 [22:22:28<2:25:35, 1.28s/step] Training: 90%|█████████ | 63151/70000 [22:22:29<2:22:50, 1.25s/step] Training: 90%|█████████ | 63152/70000 [22:22:31<2:26:36, 1.28s/step] Training: 90%|█████████ | 63153/70000 [22:22:32<2:27:52, 1.30s/step] Training: 90%|█████████ | 63154/70000 [22:22:33<2:28:38, 1.30s/step] Training: 90%|█████████ | 63155/70000 [22:22:35<2:29:35, 1.31s/step] Training: 90%|█████████ | 63156/70000 [22:22:36<2:26:22, 1.28s/step] Training: 90%|█████████ | 63157/70000 [22:22:37<2:23:17, 1.26s/step] Training: 90%|█████████ | 63158/70000 [22:22:39<2:26:05, 1.28s/step] Training: 90%|█████████ | 63159/70000 [22:22:40<2:22:40, 1.25s/step] Training: 90%|█████████ | 63160/70000 [22:22:41<2:25:19, 1.27s/step] Training: 90%|█████████ | 63161/70000 [22:22:42<2:27:20, 1.29s/step] Training: 90%|█████████ | 63162/70000 [22:22:44<2:28:12, 1.30s/step] Training: 90%|█████████ | 63163/70000 [22:22:45<2:25:44, 1.28s/step] Training: 90%|█████████ | 63164/70000 [22:22:46<2:27:34, 1.30s/step] Training: 90%|█████████ | 63165/70000 [22:22:47<2:24:07, 1.27s/step] Training: 90%|█████████ | 63166/70000 [22:22:49<2:26:51, 1.29s/step] Training: 90%|█████████ | 63167/70000 [22:22:50<2:25:33, 1.28s/step] Training: 90%|█████████ | 63168/70000 [22:22:51<2:28:39, 1.31s/step] Training: 90%|█████████ | 63169/70000 [22:22:53<2:25:21, 1.28s/step] Training: 90%|█████████ | 63170/70000 [22:22:54<2:26:55, 1.29s/step] Training: 90%|█████████ | 63171/70000 [22:22:55<2:28:34, 1.31s/step] Training: 90%|█████████ | 63172/70000 [22:22:57<2:29:15, 1.31s/step] Training: 90%|█████████ | 63173/70000 [22:22:58<2:25:16, 1.28s/step] Training: 90%|█████████ | 63174/70000 [22:22:59<2:30:39, 1.32s/step] Training: 90%|█████████ | 63175/70000 [22:23:00<2:25:58, 1.28s/step] Training: 90%|█████████ | 63176/70000 [22:23:02<2:27:31, 1.30s/step] Training: 90%|█████████ | 63177/70000 [22:23:03<2:28:35, 1.31s/step] Training: 90%|█████████ | 63178/70000 [22:23:04<2:25:03, 1.28s/step] Training: 90%|█████████ | 63179/70000 [22:23:06<2:27:01, 1.29s/step] Training: 90%|█████████ | 63180/70000 [22:23:07<2:28:14, 1.30s/step] Training: 90%|█████████ | 63181/70000 [22:23:08<2:24:18, 1.27s/step] Training: 90%|█████████ | 63182/70000 [22:23:10<2:30:25, 1.32s/step] Training: 90%|█████████ | 63183/70000 [22:23:11<2:25:24, 1.28s/step] Training: 90%|█████████ | 63184/70000 [22:23:12<2:28:16, 1.31s/step] Training: 90%|█████████ | 63185/70000 [22:23:13<2:29:06, 1.31s/step] Training: 90%|█████████ | 63186/70000 [22:23:15<2:29:23, 1.32s/step] Training: 90%|█████████ | 63187/70000 [22:23:16<2:29:57, 1.32s/step] Training: 90%|█████████ | 63188/70000 [22:23:17<2:26:17, 1.29s/step] Training: 90%|█████████ | 63189/70000 [22:23:19<2:23:02, 1.26s/step] Training: 90%|█████████ | 63190/70000 [22:23:20<2:24:07, 1.27s/step] Training: 90%|█████████ | 63191/70000 [22:23:21<2:21:03, 1.24s/step] Training: 90%|█████████ | 63192/70000 [22:23:22<2:23:48, 1.27s/step] Training: 90%|█████████ | 63193/70000 [22:23:24<2:25:34, 1.28s/step] Training: 90%|█████████ | 63194/70000 [22:23:25<2:27:02, 1.30s/step] Training: 90%|█████████ | 63195/70000 [22:23:26<2:24:24, 1.27s/step] Training: 90%|█████████ | 63196/70000 [22:23:28<2:26:48, 1.29s/step] Training: 90%|█████████ | 63197/70000 [22:23:29<2:23:29, 1.27s/step] Training: 90%|█████████ | 63198/70000 [22:23:30<2:21:25, 1.25s/step] Training: 90%|█████████ | 63199/70000 [22:23:31<2:25:01, 1.28s/step] Training: 90%|█████████ | 63200/70000 [22:23:33<2:28:08, 1.31s/step]INFO 2026-03-13 18:33:25 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.57 loss:0.007 grdn:0.589 lr:1.6e-06 updt_s:1.266 data_s:0.019 Training: 90%|█████████ | 63201/70000 [22:23:34<2:24:35, 1.28s/step] Training: 90%|█████████ | 63202/70000 [22:23:35<2:26:15, 1.29s/step] Training: 90%|█████████ | 63203/70000 [22:23:37<2:27:35, 1.30s/step] Training: 90%|█████████ | 63204/70000 [22:23:38<2:28:15, 1.31s/step] Training: 90%|█████████ | 63205/70000 [22:23:39<2:24:08, 1.27s/step] Training: 90%|█████████ | 63206/70000 [22:23:40<2:26:07, 1.29s/step] Training: 90%|█████████ | 63207/70000 [22:23:42<2:26:51, 1.30s/step] Training: 90%|█████████ | 63208/70000 [22:23:43<2:27:26, 1.30s/step] Training: 90%|█████████ | 63209/70000 [22:23:44<2:28:23, 1.31s/step] Training: 90%|█████████ | 63210/70000 [22:23:46<2:25:05, 1.28s/step] Training: 90%|█████████ | 63211/70000 [22:23:47<2:26:47, 1.30s/step] Training: 90%|█████████ | 63212/70000 [22:23:48<2:24:58, 1.28s/step] Training: 90%|█████████ | 63213/70000 [22:23:49<2:21:50, 1.25s/step] Training: 90%|█████████ | 63214/70000 [22:23:51<2:24:12, 1.28s/step] Training: 90%|█████████ | 63215/70000 [22:23:52<2:27:01, 1.30s/step] Training: 90%|█████████ | 63216/70000 [22:23:53<2:29:01, 1.32s/step] Training: 90%|█████████ | 63217/70000 [22:23:55<2:29:29, 1.32s/step] Training: 90%|█████████ | 63218/70000 [22:23:56<2:29:38, 1.32s/step] Training: 90%|█████████ | 63219/70000 [22:23:57<2:30:01, 1.33s/step] Training: 90%|█████████ | 63220/70000 [22:23:59<2:25:47, 1.29s/step] Training: 90%|█████████ | 63221/70000 [22:24:00<2:22:28, 1.26s/step] Training: 90%|█████████ | 63222/70000 [22:24:01<2:21:29, 1.25s/step] Training: 90%|█████████ | 63223/70000 [22:24:02<2:19:14, 1.23s/step] Training: 90%|█████████ | 63224/70000 [22:24:04<2:26:23, 1.30s/step] Training: 90%|█████████ | 63225/70000 [22:24:05<2:27:54, 1.31s/step] Training: 90%|█████████ | 63226/70000 [22:24:06<2:28:38, 1.32s/step] Training: 90%|█████████ | 63227/70000 [22:24:07<2:25:21, 1.29s/step] Training: 90%|█████████ | 63228/70000 [22:24:09<2:26:55, 1.30s/step] Training: 90%|█████████ | 63229/70000 [22:24:10<2:23:11, 1.27s/step] Training: 90%|█████████ | 63230/70000 [22:24:11<2:20:48, 1.25s/step] Training: 90%|█████████ | 63231/70000 [22:24:12<2:18:44, 1.23s/step] Training: 90%|█████████ | 63232/70000 [22:24:14<2:26:34, 1.30s/step] Training: 90%|█████████ | 63233/70000 [22:24:15<2:24:16, 1.28s/step] Training: 90%|█████████ | 63234/70000 [22:24:16<2:25:57, 1.29s/step] Training: 90%|█████████ | 63235/70000 [22:24:18<2:27:11, 1.31s/step] Training: 90%|█████████ | 63236/70000 [22:24:19<2:27:37, 1.31s/step] Training: 90%|█████████ | 63237/70000 [22:24:20<2:23:35, 1.27s/step] Training: 90%|█████████ | 63238/70000 [22:24:22<2:25:22, 1.29s/step] Training: 90%|█████████ | 63239/70000 [22:24:23<2:22:04, 1.26s/step] Training: 90%|█████████ | 63240/70000 [22:24:24<2:24:55, 1.29s/step] Training: 90%|█████████ | 63241/70000 [22:24:25<2:26:32, 1.30s/step] Training: 90%|█████████ | 63242/70000 [22:24:27<2:23:23, 1.27s/step] Training: 90%|█████████ | 63243/70000 [22:24:28<2:25:18, 1.29s/step] Training: 90%|█████████ | 63244/70000 [22:24:29<2:23:51, 1.28s/step] Training: 90%|█████████ | 63245/70000 [22:24:30<2:20:53, 1.25s/step] Training: 90%|█████████ | 63246/70000 [22:24:32<2:23:45, 1.28s/step] Training: 90%|█████████ | 63247/70000 [22:24:33<2:20:43, 1.25s/step] Training: 90%|█████████ | 63248/70000 [22:24:34<2:25:09, 1.29s/step] Training: 90%|█████████ | 63249/70000 [22:24:36<2:26:28, 1.30s/step] Training: 90%|█████████ | 63250/70000 [22:24:37<2:27:11, 1.31s/step] Training: 90%|█████████ | 63251/70000 [22:24:38<2:28:17, 1.32s/step] Training: 90%|█████████ | 63252/70000 [22:24:40<2:24:49, 1.29s/step] Training: 90%|█████████ | 63253/70000 [22:24:41<2:21:42, 1.26s/step] Training: 90%|█████████ | 63254/70000 [22:24:42<2:20:27, 1.25s/step] Training: 90%|█████████ | 63255/70000 [22:24:43<2:18:35, 1.23s/step] Training: 90%|█████████ | 63256/70000 [22:24:45<2:21:24, 1.26s/step] Training: 90%|█████████ | 63257/70000 [22:24:46<2:27:08, 1.31s/step] Training: 90%|█████████ | 63258/70000 [22:24:47<2:27:51, 1.32s/step] Training: 90%|█████████ | 63259/70000 [22:24:48<2:24:28, 1.29s/step] Training: 90%|█████████ | 63260/70000 [22:24:50<2:25:58, 1.30s/step] Training: 90%|█████████ | 63261/70000 [22:24:51<2:22:17, 1.27s/step] Training: 90%|█████████ | 63262/70000 [22:24:52<2:20:24, 1.25s/step] Training: 90%|█████████ | 63263/70000 [22:24:53<2:18:30, 1.23s/step] Training: 90%|█████████ | 63264/70000 [22:24:55<2:23:05, 1.27s/step] Training: 90%|█████████ | 63265/70000 [22:24:56<2:25:30, 1.30s/step] Training: 90%|█████████ | 63266/70000 [22:24:57<2:22:47, 1.27s/step] Training: 90%|█████████ | 63267/70000 [22:24:59<2:24:27, 1.29s/step] Training: 90%|█████████ | 63268/70000 [22:25:00<2:25:52, 1.30s/step] Training: 90%|█████████ | 63269/70000 [22:25:01<2:22:10, 1.27s/step] Training: 90%|█████████ | 63270/70000 [22:25:03<2:24:18, 1.29s/step] Training: 90%|█████████ | 63271/70000 [22:25:04<2:20:56, 1.26s/step] Training: 90%|█████████ | 63272/70000 [22:25:05<2:23:13, 1.28s/step] Training: 90%|█████████ | 63273/70000 [22:25:06<2:25:53, 1.30s/step] Training: 90%|█████████ | 63274/70000 [22:25:08<2:22:26, 1.27s/step] Training: 90%|█████████ | 63275/70000 [22:25:09<2:24:41, 1.29s/step] Training: 90%|█████████ | 63276/70000 [22:25:10<2:22:29, 1.27s/step] Training: 90%|█████████ | 63277/70000 [22:25:11<2:19:40, 1.25s/step] Training: 90%|█████████ | 63278/70000 [22:25:13<2:22:15, 1.27s/step] Training: 90%|█████████ | 63279/70000 [22:25:14<2:19:27, 1.25s/step] Training: 90%|█████████ | 63280/70000 [22:25:15<2:22:06, 1.27s/step] Training: 90%|█████████ | 63281/70000 [22:25:17<2:24:10, 1.29s/step] Training: 90%|█████████ | 63282/70000 [22:25:18<2:25:33, 1.30s/step] Training: 90%|█████████ | 63283/70000 [22:25:19<2:26:33, 1.31s/step] Training: 90%|█████████ | 63284/70000 [22:25:20<2:23:32, 1.28s/step] Training: 90%|█████████ | 63285/70000 [22:25:22<2:20:29, 1.26s/step] Training: 90%|█████████ | 63286/70000 [22:25:23<2:19:27, 1.25s/step] Training: 90%|█████████ | 63287/70000 [22:25:24<2:17:38, 1.23s/step] Training: 90%|█████████ | 63288/70000 [22:25:25<2:21:02, 1.26s/step] Training: 90%|█████████ | 63289/70000 [22:25:27<2:23:03, 1.28s/step] Training: 90%|█████████ | 63290/70000 [22:25:28<2:28:12, 1.33s/step] Training: 90%|█████████ | 63291/70000 [22:25:29<2:24:44, 1.29s/step] Training: 90%|█████████ | 63292/70000 [22:25:31<2:25:57, 1.31s/step] Training: 90%|█████████ | 63293/70000 [22:25:32<2:22:06, 1.27s/step] Training: 90%|█████████ | 63294/70000 [22:25:33<2:19:49, 1.25s/step] Training: 90%|█████████ | 63295/70000 [22:25:34<2:17:56, 1.23s/step] Training: 90%|█████████ | 63296/70000 [22:25:36<2:22:16, 1.27s/step] Training: 90%|█████████ | 63297/70000 [22:25:37<2:20:11, 1.25s/step] Training: 90%|█████████ | 63298/70000 [22:25:38<2:19:50, 1.25s/step] Training: 90%|█████████ | 63299/70000 [22:25:39<2:22:20, 1.27s/step] Training: 90%|█████████ | 63300/70000 [22:25:41<2:24:23, 1.29s/step]INFO 2026-03-13 18:35:33 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.65 loss:0.007 grdn:0.653 lr:1.5e-06 updt_s:1.259 data_s:0.019 Training: 90%|█████████ | 63301/70000 [22:25:42<2:20:58, 1.26s/step] Training: 90%|█████████ | 63302/70000 [22:25:43<2:23:08, 1.28s/step] Training: 90%|█████████ | 63303/70000 [22:25:44<2:20:06, 1.26s/step] Training: 90%|█████████ | 63304/70000 [22:25:46<2:22:17, 1.27s/step] Training: 90%|█████████ | 63305/70000 [22:25:47<2:24:10, 1.29s/step] Training: 90%|█████████ | 63306/70000 [22:25:48<2:22:19, 1.28s/step] Training: 90%|█████████ | 63307/70000 [22:25:50<2:23:46, 1.29s/step] Training: 90%|█████████ | 63308/70000 [22:25:51<2:21:48, 1.27s/step] Training: 90%|█████████ | 63309/70000 [22:25:52<2:18:58, 1.25s/step] Training: 90%|█████████ | 63310/70000 [22:25:53<2:21:59, 1.27s/step] Training: 90%|█████████ | 63311/70000 [22:25:55<2:19:10, 1.25s/step] Training: 90%|█████████ | 63312/70000 [22:25:56<2:22:04, 1.27s/step] Training: 90%|█████████ | 63313/70000 [22:25:57<2:24:16, 1.29s/step] Training: 90%|█████████ | 63314/70000 [22:25:59<2:25:34, 1.31s/step] Training: 90%|█████████ | 63315/70000 [22:26:00<2:28:51, 1.34s/step] Training: 90%|█████████ | 63316/70000 [22:26:01<2:24:40, 1.30s/step] Training: 90%|█████████ | 63317/70000 [22:26:02<2:21:09, 1.27s/step] Training: 90%|█████████ | 63318/70000 [22:26:04<2:20:02, 1.26s/step] Training: 90%|█████████ | 63319/70000 [22:26:05<2:17:43, 1.24s/step] Training: 90%|█████████ | 63320/70000 [22:26:06<2:20:30, 1.26s/step] Training: 90%|█████████ | 63321/70000 [22:26:07<2:22:31, 1.28s/step] Training: 90%|█████████ | 63322/70000 [22:26:09<2:24:06, 1.29s/step] Training: 90%|█████████ | 63323/70000 [22:26:10<2:24:16, 1.30s/step] Training: 90%|█████████ | 63324/70000 [22:26:11<2:25:43, 1.31s/step] Training: 90%|█████████ | 63325/70000 [22:26:13<2:21:48, 1.27s/step] Training: 90%|█████████ | 63326/70000 [22:26:14<2:19:29, 1.25s/step] Training: 90%|█████████ | 63327/70000 [22:26:15<2:17:21, 1.24s/step] Training: 90%|█████████ | 63328/70000 [22:26:16<2:20:59, 1.27s/step] Training: 90%|█████████ | 63329/70000 [22:26:18<2:18:58, 1.25s/step] Training: 90%|█████████ | 63330/70000 [22:26:19<2:18:45, 1.25s/step] Training: 90%|█████████ | 63331/70000 [22:26:20<2:21:55, 1.28s/step] Training: 90%|█████████ | 63332/70000 [22:26:21<2:23:17, 1.29s/step] Training: 90%|█████████ | 63333/70000 [22:26:23<2:19:57, 1.26s/step] Training: 90%|█████████ | 63334/70000 [22:26:24<2:22:17, 1.28s/step] Training: 90%|█████████ | 63335/70000 [22:26:25<2:19:12, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=28040 Training: 90%|█████████ | 63336/70000 [22:26:27<2:21:38, 1.28s/step] Training: 90%|█████████ | 63337/70000 [22:26:28<2:23:24, 1.29s/step] Training: 90%|█████████ | 63338/70000 [22:26:29<2:21:07, 1.27s/step] Training: 90%|█████████ | 63339/70000 [22:26:30<2:23:47, 1.30s/step] Training: 90%|█████████ | 63340/70000 [22:26:32<2:21:06, 1.27s/step] Training: 90%|█████████ | 63341/70000 [22:26:33<2:18:19, 1.25s/step] Training: 90%|█████████ | 63342/70000 [22:26:34<2:20:52, 1.27s/step] Training: 90%|█████████ | 63343/70000 [22:26:35<2:18:22, 1.25s/step] Training: 90%|█████████ | 63344/70000 [22:26:37<2:21:12, 1.27s/step] Training: 90%|█████████ | 63345/70000 [22:26:38<2:22:52, 1.29s/step] Training: 90%|█████████ | 63346/70000 [22:26:39<2:24:28, 1.30s/step] Training: 90%|█████████ | 63347/70000 [22:26:41<2:25:40, 1.31s/step] Training: 90%|█████████ | 63348/70000 [22:26:42<2:26:48, 1.32s/step] Training: 90%|█████████ | 63349/70000 [22:26:43<2:22:01, 1.28s/step] Training: 90%|█████████ | 63350/70000 [22:26:44<2:20:28, 1.27s/step] Training: 91%|█████████ | 63351/70000 [22:26:46<2:17:45, 1.24s/step] Training: 91%|█████████ | 63352/70000 [22:26:47<2:16:38, 1.23s/step] Training: 91%|█████████ | 63353/70000 [22:26:48<2:19:36, 1.26s/step] Training: 91%|█████████ | 63354/70000 [22:26:49<2:22:01, 1.28s/step] Training: 91%|█████████ | 63355/70000 [22:26:51<2:19:35, 1.26s/step] Training: 91%|█████████ | 63356/70000 [22:26:52<2:24:55, 1.31s/step] Training: 91%|█████████ | 63357/70000 [22:26:53<2:21:03, 1.27s/step] Training: 91%|█████████ | 63358/70000 [22:26:55<2:18:56, 1.26s/step] Training: 91%|█████████ | 63359/70000 [22:26:56<2:16:54, 1.24s/step] Training: 91%|█████████ | 63360/70000 [22:26:57<2:21:27, 1.28s/step] Training: 91%|█████████ | 63361/70000 [22:26:58<2:19:03, 1.26s/step] Training: 91%|█████████ | 63362/70000 [22:27:00<2:18:02, 1.25s/step] Training: 91%|█████████ | 63363/70000 [22:27:01<2:21:13, 1.28s/step] Training: 91%|█████████ | 63364/70000 [22:27:02<2:24:25, 1.31s/step] Training: 91%|█████████ | 63365/70000 [22:27:03<2:20:38, 1.27s/step] Training: 91%|█████████ | 63366/70000 [22:27:05<2:22:48, 1.29s/step] Training: 91%|█████████ | 63367/70000 [22:27:06<2:19:25, 1.26s/step] Training: 91%|█████████ | 63368/70000 [22:27:07<2:21:32, 1.28s/step] Training: 91%|█████████ | 63369/70000 [22:27:09<2:22:56, 1.29s/step] Training: 91%|█████████ | 63370/70000 [22:27:10<2:20:08, 1.27s/step] Training: 91%|█████████ | 63371/70000 [22:27:11<2:21:51, 1.28s/step] Training: 91%|█████████ | 63372/70000 [22:27:12<2:22:32, 1.29s/step] Training: 91%|█████████ | 63373/70000 [22:27:14<2:18:49, 1.26s/step] Training: 91%|█████████ | 63374/70000 [22:27:15<2:20:57, 1.28s/step] Training: 91%|█████████ | 63375/70000 [22:27:16<2:18:05, 1.25s/step] Training: 91%|█████████ | 63376/70000 [22:27:17<2:20:32, 1.27s/step] Training: 91%|█████████ | 63377/70000 [22:27:19<2:22:22, 1.29s/step] Training: 91%|█████████ | 63378/70000 [22:27:20<2:23:39, 1.30s/step] Training: 91%|█████████ | 63379/70000 [22:27:21<2:24:44, 1.31s/step] Training: 91%|█████████ | 63380/70000 [22:27:23<2:21:29, 1.28s/step] Training: 91%|█████████ | 63381/70000 [22:27:24<2:23:43, 1.30s/step] Training: 91%|█████████ | 63382/70000 [22:27:25<2:21:00, 1.28s/step] Training: 91%|█████████ | 63383/70000 [22:27:26<2:18:04, 1.25s/step] Training: 91%|█████████ | 63384/70000 [22:27:28<2:20:43, 1.28s/step] Training: 91%|█████████ | 63385/70000 [22:27:29<2:22:33, 1.29s/step] Training: 91%|█████████ | 63386/70000 [22:27:30<2:23:30, 1.30s/step] Training: 91%|█████████ | 63387/70000 [22:27:32<2:20:36, 1.28s/step] Training: 91%|█████████ | 63388/70000 [22:27:33<2:23:02, 1.30s/step] Training: 91%|█████████ | 63389/70000 [22:27:34<2:21:52, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=5672 Training: 91%|█████████ | 63390/70000 [22:27:35<2:18:51, 1.26s/step] Training: 91%|█████████ | 63391/70000 [22:27:37<2:16:31, 1.24s/step] Training: 91%|█████████ | 63392/70000 [22:27:38<2:20:24, 1.27s/step] Training: 91%|█████████ | 63393/70000 [22:27:39<2:17:35, 1.25s/step] Training: 91%|█████████ | 63394/70000 [22:27:41<2:19:38, 1.27s/step] Training: 91%|█████████ | 63395/70000 [22:27:42<2:22:04, 1.29s/step] Training: 91%|█████████ | 63396/70000 [22:27:43<2:23:30, 1.30s/step] Training: 91%|█████████ | 63397/70000 [22:27:44<2:19:52, 1.27s/step] Training: 91%|█████████ | 63398/70000 [22:27:46<2:21:54, 1.29s/step] Training: 91%|█████████ | 63399/70000 [22:27:47<2:22:30, 1.30s/step] Training: 91%|█████████ | 63400/70000 [22:27:48<2:23:28, 1.30s/step]INFO 2026-03-13 18:37:40 ot_train.py:435 step:63K smpl:4M ep:14K epch:53.74 loss:0.007 grdn:0.650 lr:1.5e-06 updt_s:1.255 data_s:0.019 Training: 91%|█████████ | 63401/70000 [22:27:50<2:24:30, 1.31s/step] Training: 91%|█████████ | 63402/70000 [22:27:51<2:21:13, 1.28s/step] Training: 91%|█████████ | 63403/70000 [22:27:52<2:22:38, 1.30s/step] Training: 91%|█████████ | 63404/70000 [22:27:53<2:20:23, 1.28s/step] Training: 91%|█████████ | 63405/70000 [22:27:55<2:23:07, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=5672 Training: 91%|█████████ | 63406/70000 [22:27:56<2:19:03, 1.27s/step] Training: 91%|█████████ | 63407/70000 [22:27:57<2:18:09, 1.26s/step] Training: 91%|█████████ | 63408/70000 [22:27:59<2:20:40, 1.28s/step] Training: 91%|█████████ | 63409/70000 [22:28:00<2:17:58, 1.26s/step] Training: 91%|█████████ | 63410/70000 [22:28:01<2:20:22, 1.28s/step] Training: 91%|█████████ | 63411/70000 [22:28:02<2:22:02, 1.29s/step] Training: 91%|█████████ | 63412/70000 [22:28:04<2:19:30, 1.27s/step] Training: 91%|█████████ | 63413/70000 [22:28:05<2:16:56, 1.25s/step] Training: 91%|█████████ | 63414/70000 [22:28:06<2:20:05, 1.28s/step] Training: 91%|█████████ | 63415/70000 [22:28:07<2:17:33, 1.25s/step] Training: 91%|█████████ | 63416/70000 [22:28:09<2:20:02, 1.28s/step] Training: 91%|█████████ | 63417/70000 [22:28:10<2:18:25, 1.26s/step] Training: 91%|█████████ | 63418/70000 [22:28:11<2:20:39, 1.28s/step] Training: 91%|█████████ | 63419/70000 [22:28:12<2:18:24, 1.26s/step] Training: 91%|█████████ | 63420/70000 [22:28:14<2:20:43, 1.28s/step] Training: 91%|█████████ | 63421/70000 [22:28:15<2:17:34, 1.25s/step] Training: 91%|█████████ | 63422/70000 [22:28:16<2:20:36, 1.28s/step] Training: 91%|█████████ | 63423/70000 [22:28:18<2:21:28, 1.29s/step] Training: 91%|█████████ | 63424/70000 [22:28:19<2:24:52, 1.32s/step] Training: 91%|█████████ | 63425/70000 [22:28:20<2:20:31, 1.28s/step] Training: 91%|█████████ | 63426/70000 [22:28:22<2:21:15, 1.29s/step] Training: 91%|█████████ | 63427/70000 [22:28:23<2:22:50, 1.30s/step] Training: 91%|█████████ | 63428/70000 [22:28:24<2:23:38, 1.31s/step] Training: 91%|█████████ | 63429/70000 [22:28:25<2:19:38, 1.28s/step] Training: 91%|█████████ | 63430/70000 [22:28:27<2:16:51, 1.25s/step] Training: 91%|█████████ | 63431/70000 [22:28:28<2:19:12, 1.27s/step] Training: 91%|█████████ | 63432/70000 [22:28:29<2:21:05, 1.29s/step] Training: 91%|█████████ | 63433/70000 [22:28:30<2:17:54, 1.26s/step] Training: 91%|█████████ | 63434/70000 [22:28:32<2:16:53, 1.25s/step] Training: 91%|█████████ | 63435/70000 [22:28:33<2:19:50, 1.28s/step] Training: 91%|█████████ | 63436/70000 [22:28:34<2:18:21, 1.26s/step] Training: 91%|█████████ | 63437/70000 [22:28:35<2:15:56, 1.24s/step] Training: 91%|█████████ | 63438/70000 [22:28:37<2:15:57, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=20759 Training: 91%|█████████ | 63439/70000 [22:28:38<2:18:38, 1.27s/step] Training: 91%|█████████ | 63440/70000 [22:28:39<2:20:58, 1.29s/step] Training: 91%|█████████ | 63441/70000 [22:28:41<2:23:58, 1.32s/step] Training: 91%|█████████ | 63442/70000 [22:28:42<2:24:47, 1.32s/step] Training: 91%|█████████ | 63443/70000 [22:28:43<2:25:02, 1.33s/step] Training: 91%|█████████ | 63444/70000 [22:28:45<2:21:32, 1.30s/step] Training: 91%|█████████ | 63445/70000 [22:28:46<2:18:08, 1.26s/step] Training: 91%|█████████ | 63446/70000 [22:28:47<2:17:26, 1.26s/step] Training: 91%|█████████ | 63447/70000 [22:28:48<2:15:24, 1.24s/step] Training: 91%|█████████ | 63448/70000 [22:28:50<2:18:18, 1.27s/step] Training: 91%|█████████ | 63449/70000 [22:28:51<2:16:14, 1.25s/step] Training: 91%|█████████ | 63450/70000 [22:28:52<2:19:00, 1.27s/step] Training: 91%|█████████ | 63451/70000 [22:28:53<2:16:49, 1.25s/step] Training: 91%|█████████ | 63452/70000 [22:28:55<2:19:12, 1.28s/step] Training: 91%|█████████ | 63453/70000 [22:28:56<2:16:28, 1.25s/step] Training: 91%|█████████ | 63454/70000 [22:28:57<2:14:23, 1.23s/step] Training: 91%|█████████ | 63455/70000 [22:28:58<2:21:32, 1.30s/step] Training: 91%|█████████ | 63456/70000 [22:29:00<2:23:48, 1.32s/step] Training: 91%|█████████ | 63457/70000 [22:29:01<2:24:04, 1.32s/step] Training: 91%|█████████ | 63458/70000 [22:29:02<2:21:00, 1.29s/step] Training: 91%|█████████ | 63459/70000 [22:29:04<2:22:22, 1.31s/step] Training: 91%|█████████ | 63460/70000 [22:29:05<2:23:00, 1.31s/step] Training: 91%|█████████ | 63461/70000 [22:29:06<2:18:59, 1.28s/step] Training: 91%|█████████ | 63462/70000 [22:29:07<2:16:08, 1.25s/step] Training: 91%|█████████ | 63463/70000 [22:29:09<2:21:22, 1.30s/step] Training: 91%|█████████ | 63464/70000 [22:29:10<2:22:35, 1.31s/step] Training: 91%|█████████ | 63465/70000 [22:29:12<2:23:19, 1.32s/step] Training: 91%|█████████ | 63466/70000 [22:29:13<2:20:03, 1.29s/step] Training: 91%|█████████ | 63467/70000 [22:29:14<2:21:23, 1.30s/step] Training: 91%|█████████ | 63468/70000 [22:29:15<2:19:04, 1.28s/step] Training: 91%|█████████ | 63469/70000 [22:29:16<2:16:16, 1.25s/step] Training: 91%|█████████ | 63470/70000 [22:29:18<2:14:16, 1.23s/step] Training: 91%|█████████ | 63471/70000 [22:29:19<2:17:57, 1.27s/step] Training: 91%|█████████ | 63472/70000 [22:29:20<2:19:32, 1.28s/step] Training: 91%|█████████ | 63473/70000 [22:29:22<2:17:51, 1.27s/step] Training: 91%|█████████ | 63474/70000 [22:29:23<2:15:14, 1.24s/step] Training: 91%|█████████ | 63475/70000 [22:29:24<2:17:56, 1.27s/step] Training: 91%|█████████ | 63476/70000 [22:29:25<2:16:06, 1.25s/step] Training: 91%|█████████ | 63477/70000 [22:29:27<2:14:12, 1.23s/step] Training: 91%|█████████ | 63478/70000 [22:29:28<2:12:42, 1.22s/step] Training: 91%|█████████ | 63479/70000 [22:29:29<2:17:08, 1.26s/step] Training: 91%|█████████ | 63480/70000 [22:29:30<2:19:15, 1.28s/step] Training: 91%|█████████ | 63481/70000 [22:29:32<2:16:50, 1.26s/step] Training: 91%|█████████ | 63482/70000 [22:29:33<2:14:37, 1.24s/step] Training: 91%|█████████ | 63483/70000 [22:29:34<2:13:58, 1.23s/step] Training: 91%|█████████ | 63484/70000 [22:29:35<2:17:02, 1.26s/step] Training: 91%|█████████ | 63485/70000 [22:29:37<2:14:47, 1.24s/step] Training: 91%|█████████ | 63486/70000 [22:29:38<2:13:06, 1.23s/step] Training: 91%|█████████ | 63487/70000 [22:29:39<2:16:45, 1.26s/step] Training: 91%|█████████ | 63488/70000 [22:29:40<2:23:02, 1.32s/step] Training: 91%|█████████ | 63489/70000 [22:29:42<2:23:28, 1.32s/step] Training: 91%|█████████ | 63490/70000 [22:29:43<2:21:14, 1.30s/step] Training: 91%|█████████ | 63491/70000 [22:29:44<2:22:18, 1.31s/step] Training: 91%|█████████ | 63492/70000 [22:29:46<2:22:46, 1.32s/step] Training: 91%|█████████ | 63493/70000 [22:29:47<2:18:40, 1.28s/step] Training: 91%|█████████ | 63494/70000 [22:29:48<2:15:57, 1.25s/step] Training: 91%|█████████ | 63495/70000 [22:29:49<2:18:35, 1.28s/step] Training: 91%|█████████ | 63496/70000 [22:29:51<2:24:22, 1.33s/step] Training: 91%|█████████ | 63497/70000 [22:29:52<2:24:49, 1.34s/step] Training: 91%|█████████ | 63498/70000 [22:29:54<2:21:33, 1.31s/step] Training: 91%|█████████ | 63499/70000 [22:29:55<2:22:26, 1.31s/step] Training: 91%|█████████ | 63500/70000 [22:29:56<2:19:33, 1.29s/step]INFO 2026-03-13 18:39:48 ot_train.py:435 step:64K smpl:4M ep:14K epch:53.82 loss:0.008 grdn:0.622 lr:1.5e-06 updt_s:1.256 data_s:0.019 Training: 91%|█████████ | 63501/70000 [22:29:57<2:16:22, 1.26s/step] Training: 91%|█████████ | 63502/70000 [22:29:58<2:14:08, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=20759 Training: 91%|█████████ | 63503/70000 [22:30:00<2:17:02, 1.27s/step] Training: 91%|█████████ | 63504/70000 [22:30:01<2:20:35, 1.30s/step] Training: 91%|█████████ | 63505/70000 [22:30:02<2:18:30, 1.28s/step] Training: 91%|█████████ | 63506/70000 [22:30:04<2:15:39, 1.25s/step] Training: 91%|█████████ | 63507/70000 [22:30:05<2:17:38, 1.27s/step] Training: 91%|█████████ | 63508/70000 [22:30:06<2:15:50, 1.26s/step] Training: 91%|█████████ | 63509/70000 [22:30:07<2:13:42, 1.24s/step] Training: 91%|█████████ | 63510/70000 [22:30:08<2:12:13, 1.22s/step] Training: 91%|█████████ | 63511/70000 [22:30:10<2:12:20, 1.22s/step] Training: 91%|█████████ | 63512/70000 [22:30:11<2:16:49, 1.27s/step] Training: 91%|█████████ | 63513/70000 [22:30:12<2:15:44, 1.26s/step] Training: 91%|█████████ | 63514/70000 [22:30:14<2:18:52, 1.28s/step] Training: 91%|█████████ | 63515/70000 [22:30:15<2:16:40, 1.26s/step] Training: 91%|█████████ | 63516/70000 [22:30:16<2:18:59, 1.29s/step] Training: 91%|█████████ | 63517/70000 [22:30:17<2:15:58, 1.26s/step] Training: 91%|█████████ | 63518/70000 [22:30:19<2:13:44, 1.24s/step] Training: 91%|█████████ | 63519/70000 [22:30:20<2:16:28, 1.26s/step] Training: 91%|█████████ | 63520/70000 [22:30:21<2:20:10, 1.30s/step] Training: 91%|█████████ | 63521/70000 [22:30:23<2:25:02, 1.34s/step] Training: 91%|█████████ | 63522/70000 [22:30:24<2:20:42, 1.30s/step] Training: 91%|█████████ | 63523/70000 [22:30:25<2:21:43, 1.31s/step] Training: 91%|█████████ | 63524/70000 [22:30:27<2:22:27, 1.32s/step] Training: 91%|█████████ | 63525/70000 [22:30:28<2:18:17, 1.28s/step] Training: 91%|█████████ | 63526/70000 [22:30:29<2:15:14, 1.25s/step] Training: 91%|█████████ | 63527/70000 [22:30:30<2:17:50, 1.28s/step] Training: 91%|█████████ | 63528/70000 [22:30:32<2:19:35, 1.29s/step] Training: 91%|█████████ | 63529/70000 [22:30:33<2:22:45, 1.32s/step] Training: 91%|█████████ | 63530/70000 [22:30:34<2:20:16, 1.30s/step] Training: 91%|█████████ | 63531/70000 [22:30:36<2:21:17, 1.31s/step] Training: 91%|█████████ | 63532/70000 [22:30:37<2:19:02, 1.29s/step] Training: 91%|█████████ | 63533/70000 [22:30:38<2:15:50, 1.26s/step] Training: 91%|█████████ | 63534/70000 [22:30:39<2:13:34, 1.24s/step] Training: 91%|█████████ | 63535/70000 [22:30:41<2:16:07, 1.26s/step] Training: 91%|█████████ | 63536/70000 [22:30:42<2:20:09, 1.30s/step] Training: 91%|█████████ | 63537/70000 [22:30:43<2:17:37, 1.28s/step] Training: 91%|█████████ | 63538/70000 [22:30:45<2:19:36, 1.30s/step] Training: 91%|█████████ | 63539/70000 [22:30:46<2:19:26, 1.29s/step] Training: 91%|█████████ | 63540/70000 [22:30:47<2:16:51, 1.27s/step] Training: 91%|█████████ | 63541/70000 [22:30:48<2:14:17, 1.25s/step] Training: 91%|█████████ | 63542/70000 [22:30:49<2:12:24, 1.23s/step] Training: 91%|█████████ | 63543/70000 [22:30:51<2:11:32, 1.22s/step] Training: 91%|█████████ | 63544/70000 [22:30:52<2:14:59, 1.25s/step] Training: 91%|█████████ | 63545/70000 [22:30:53<2:18:20, 1.29s/step] Training: 91%|█████████ | 63546/70000 [22:30:55<2:19:57, 1.30s/step] Training: 91%|█████████ | 63547/70000 [22:30:56<2:17:24, 1.28s/step] Training: 91%|█████████ | 63548/70000 [22:30:57<2:19:03, 1.29s/step] Training: 91%|█████████ | 63549/70000 [22:30:58<2:15:41, 1.26s/step] Training: 91%|█████████ | 63550/70000 [22:31:00<2:13:19, 1.24s/step] Training: 91%|█████████ | 63551/70000 [22:31:01<2:16:00, 1.27s/step] Training: 91%|█████████ | 63552/70000 [22:31:02<2:19:33, 1.30s/step] Training: 91%|█████████ | 63553/70000 [22:31:04<2:20:49, 1.31s/step] Training: 91%|█████████ | 63554/70000 [22:31:05<2:21:59, 1.32s/step] Training: 91%|█████████ | 63555/70000 [22:31:06<2:22:08, 1.32s/step] Training: 91%|█████████ | 63556/70000 [22:31:08<2:22:11, 1.32s/step] Training: 91%|█████████ | 63557/70000 [22:31:09<2:17:56, 1.28s/step] Training: 91%|█████████ | 63558/70000 [22:31:10<2:14:47, 1.26s/step] Training: 91%|█████████ | 63559/70000 [22:31:11<2:17:00, 1.28s/step] Training: 91%|█████████ | 63560/70000 [22:31:13<2:18:47, 1.29s/step] Training: 91%|█████████ | 63561/70000 [22:31:14<2:20:06, 1.31s/step] Training: 91%|█████████ | 63562/70000 [22:31:15<2:21:10, 1.32s/step] Training: 91%|█████████ | 63563/70000 [22:31:17<2:21:15, 1.32s/step] Training: 91%|█████████ | 63564/70000 [22:31:18<2:18:25, 1.29s/step] Training: 91%|█████████ | 63565/70000 [22:31:19<2:15:05, 1.26s/step] Training: 91%|█████████ | 63566/70000 [22:31:20<2:12:50, 1.24s/step] Training: 91%|█████████ | 63567/70000 [22:31:22<2:12:28, 1.24s/step] Training: 91%|█████████ | 63568/70000 [22:31:23<2:16:46, 1.28s/step] Training: 91%|█████████ | 63569/70000 [22:31:24<2:15:02, 1.26s/step] Training: 91%|█████████ | 63570/70000 [22:31:25<2:12:49, 1.24s/step] Training: 91%|█████████ | 63571/70000 [22:31:27<2:15:10, 1.26s/step] Training: 91%|█████████ | 63572/70000 [22:31:28<2:13:37, 1.25s/step] Training: 91%|█████████ | 63573/70000 [22:31:29<2:11:49, 1.23s/step] Training: 91%|█████████ | 63574/70000 [22:31:30<2:10:34, 1.22s/step] Training: 91%|█████████ | 63575/70000 [22:31:31<2:10:19, 1.22s/step] Training: 91%|█████████ | 63576/70000 [22:31:33<2:13:57, 1.25s/step] Training: 91%|█████████ | 63577/70000 [22:31:34<2:12:42, 1.24s/step] Training: 91%|█████████ | 63578/70000 [22:31:35<2:13:16, 1.25s/step] Training: 91%|█████████ | 63579/70000 [22:31:36<2:12:08, 1.23s/step] Training: 91%|█████████ | 63580/70000 [22:31:38<2:15:13, 1.26s/step] Training: 91%|█████████ | 63581/70000 [22:31:39<2:12:56, 1.24s/step] Training: 91%|█████████ | 63582/70000 [22:31:40<2:11:21, 1.23s/step] Training: 91%|█████████ | 63583/70000 [22:31:41<2:14:44, 1.26s/step] Training: 91%|█████████ | 63584/70000 [22:31:43<2:14:22, 1.26s/step] Training: 91%|█████████ | 63585/70000 [22:31:44<2:19:06, 1.30s/step] Training: 91%|█████████ | 63586/70000 [22:31:45<2:18:12, 1.29s/step] Training: 91%|█████████ | 63587/70000 [22:31:47<2:19:27, 1.30s/step] Training: 91%|█████████ | 63588/70000 [22:31:48<2:20:14, 1.31s/step] Training: 91%|█████████ | 63589/70000 [22:31:49<2:16:19, 1.28s/step] Training: 91%|█████████ | 63590/70000 [22:31:50<2:13:31, 1.25s/step] Training: 91%|█████████ | 63591/70000 [22:31:52<2:16:01, 1.27s/step] Training: 91%|█████████ | 63592/70000 [22:31:53<2:18:11, 1.29s/step] Training: 91%|█████████ | 63593/70000 [22:31:54<2:19:20, 1.30s/step] Training: 91%|█████████ | 63594/70000 [22:31:56<2:16:06, 1.27s/step] Training: 91%|█████████ | 63595/70000 [22:31:57<2:22:11, 1.33s/step] Training: 91%|█████████ | 63596/70000 [22:31:58<2:18:56, 1.30s/step] Training: 91%|█████████ | 63597/70000 [22:32:00<2:15:16, 1.27s/step] Training: 91%|█████████ | 63598/70000 [22:32:01<2:12:45, 1.24s/step] Training: 91%|█████████ | 63599/70000 [22:32:02<2:12:09, 1.24s/step] Training: 91%|█████████ | 63600/70000 [22:32:03<2:15:06, 1.27s/step]INFO 2026-03-13 18:41:55 ot_train.py:435 step:64K smpl:4M ep:14K epch:53.91 loss:0.007 grdn:0.557 lr:1.5e-06 updt_s:1.251 data_s:0.019 Training: 91%|█████████ | 63601/70000 [22:32:05<2:13:38, 1.25s/step] Training: 91%|█████████ | 63602/70000 [22:32:06<2:15:47, 1.27s/step] Training: 91%|█████████ | 63603/70000 [22:32:07<2:15:53, 1.27s/step] Training: 91%|█████████ | 63604/70000 [22:32:08<2:13:39, 1.25s/step] Training: 91%|█████████ | 63605/70000 [22:32:10<2:11:37, 1.23s/step] Training: 91%|█████████ | 63606/70000 [22:32:11<2:10:11, 1.22s/step] Training: 91%|█████████ | 63607/70000 [22:32:12<2:09:45, 1.22s/step] Training: 91%|█████████ | 63608/70000 [22:32:13<2:13:26, 1.25s/step] Training: 91%|█████████ | 63609/70000 [22:32:14<2:12:25, 1.24s/step] Training: 91%|█████████ | 63610/70000 [22:32:16<2:15:06, 1.27s/step] Training: 91%|█████████ | 63611/70000 [22:32:17<2:17:47, 1.29s/step] Training: 91%|█████████ | 63612/70000 [22:32:18<2:18:38, 1.30s/step] Training: 91%|█████████ | 63613/70000 [22:32:20<2:15:04, 1.27s/step] Training: 91%|█████████ | 63614/70000 [22:32:21<2:12:28, 1.24s/step] Training: 91%|█████████ | 63615/70000 [22:32:22<2:14:57, 1.27s/step] Training: 91%|█████████ | 63616/70000 [22:32:23<2:14:02, 1.26s/step] Training: 91%|█████████ | 63617/70000 [22:32:25<2:18:50, 1.31s/step] Training: 91%|█████████ | 63618/70000 [22:32:26<2:16:34, 1.28s/step] Training: 91%|█████████ | 63619/70000 [22:32:27<2:18:49, 1.31s/step] Training: 91%|█████████ | 63620/70000 [22:32:29<2:19:09, 1.31s/step] Training: 91%|█████████ | 63621/70000 [22:32:30<2:15:21, 1.27s/step] Training: 91%|█████████ | 63622/70000 [22:32:31<2:12:32, 1.25s/step] Training: 91%|█████████ | 63623/70000 [22:32:32<2:14:53, 1.27s/step] Training: 91%|█████████ | 63624/70000 [22:32:34<2:16:53, 1.29s/step] Training: 91%|█████████ | 63625/70000 [22:32:35<2:18:25, 1.30s/step] Training: 91%|█████████ | 63626/70000 [22:32:36<2:15:17, 1.27s/step] Training: 91%|█████████ | 63627/70000 [22:32:38<2:17:16, 1.29s/step] Training: 91%|█████████ | 63628/70000 [22:32:39<2:18:51, 1.31s/step] Training: 91%|█████████ | 63629/70000 [22:32:40<2:14:47, 1.27s/step] Training: 91%|█████████ | 63630/70000 [22:32:41<2:12:18, 1.25s/step] Training: 91%|█████████ | 63631/70000 [22:32:43<2:11:32, 1.24s/step] Training: 91%|█████████ | 63632/70000 [22:32:44<2:14:14, 1.26s/step] Training: 91%|█████████ | 63633/70000 [22:32:45<2:12:52, 1.25s/step] Training: 91%|█████████ | 63634/70000 [22:32:46<2:15:15, 1.27s/step] Training: 91%|█████████ | 63635/70000 [22:32:48<2:13:48, 1.26s/step] Training: 91%|█████████ | 63636/70000 [22:32:49<2:16:38, 1.29s/step] Training: 91%|█████████ | 63637/70000 [22:32:50<2:13:07, 1.26s/step] Training: 91%|█████████ | 63638/70000 [22:32:51<2:10:58, 1.24s/step] Training: 91%|█████████ | 63639/70000 [22:32:53<2:10:02, 1.23s/step] Training: 91%|█████████ | 63640/70000 [22:32:54<2:13:19, 1.26s/step] Training: 91%|█████████ | 63641/70000 [22:32:55<2:12:01, 1.25s/step] Training: 91%|█████████ | 63642/70000 [22:32:56<2:14:43, 1.27s/step] Training: 91%|█████████ | 63643/70000 [22:32:58<2:12:53, 1.25s/step] Training: 91%|█████████ | 63644/70000 [22:32:59<2:16:00, 1.28s/step] Training: 91%|█████████ | 63645/70000 [22:33:00<2:13:01, 1.26s/step] Training: 91%|█████████ | 63646/70000 [22:33:01<2:10:58, 1.24s/step] Training: 91%|█████████ | 63647/70000 [22:33:03<2:13:47, 1.26s/step] Training: 91%|█████████ | 63648/70000 [22:33:04<2:12:49, 1.25s/step] Training: 91%|█████████ | 63649/70000 [22:33:05<2:15:07, 1.28s/step] Training: 91%|█████████ | 63650/70000 [22:33:07<2:15:40, 1.28s/step] Training: 91%|█████████ | 63651/70000 [22:33:08<2:17:10, 1.30s/step] Training: 91%|█████████ | 63652/70000 [22:33:09<2:18:30, 1.31s/step] Training: 91%|█████████ | 63653/70000 [22:33:10<2:14:42, 1.27s/step] Training: 91%|█████████ | 63654/70000 [22:33:12<2:12:03, 1.25s/step] Training: 91%|█████████ | 63655/70000 [22:33:13<2:14:28, 1.27s/step] Training: 91%|█████████ | 63656/70000 [22:33:14<2:16:07, 1.29s/step] Training: 91%|█████████ | 63657/70000 [22:33:16<2:17:25, 1.30s/step] Training: 91%|█████████ | 63658/70000 [22:33:17<2:14:28, 1.27s/step] Training: 91%|█████████ | 63659/70000 [22:33:18<2:15:58, 1.29s/step] Training: 91%|█████████ | 63660/70000 [22:33:19<2:14:45, 1.28s/step] Training: 91%|█████████ | 63661/70000 [22:33:21<2:17:31, 1.30s/step] Training: 91%|█████████ | 63662/70000 [22:33:22<2:13:47, 1.27s/step] Training: 91%|█████████ | 63663/70000 [22:33:23<2:12:43, 1.26s/step] Training: 91%|█████████ | 63664/70000 [22:33:25<2:15:44, 1.29s/step] Training: 91%|█████████ | 63665/70000 [22:33:26<2:13:06, 1.26s/step] Training: 91%|█████████ | 63666/70000 [22:33:27<2:15:26, 1.28s/step] Training: 91%|█████████ | 63667/70000 [22:33:28<2:13:38, 1.27s/step] Training: 91%|█████████ | 63668/70000 [22:33:30<2:11:50, 1.25s/step] Training: 91%|█████████ | 63669/70000 [22:33:31<2:12:14, 1.25s/step] Training: 91%|█████████ | 63670/70000 [22:33:32<2:10:12, 1.23s/step] Training: 91%|█████████ | 63671/70000 [22:33:33<2:09:08, 1.22s/step] Training: 91%|█████████ | 63672/70000 [22:33:34<2:09:23, 1.23s/step] Training: 91%|█████████ | 63673/70000 [22:33:36<2:12:33, 1.26s/step] Training: 91%|█████████ | 63674/70000 [22:33:37<2:14:39, 1.28s/step] Training: 91%|█████████ | 63675/70000 [22:33:38<2:12:31, 1.26s/step] Training: 91%|█████████ | 63676/70000 [22:33:40<2:14:41, 1.28s/step] Training: 91%|█████████ | 63677/70000 [22:33:41<2:11:55, 1.25s/step] Training: 91%|█████████ | 63678/70000 [22:33:42<2:14:39, 1.28s/step] Training: 91%|█████████ | 63679/70000 [22:33:43<2:15:41, 1.29s/step] Training: 91%|█████████ | 63680/70000 [22:33:45<2:12:29, 1.26s/step] Training: 91%|█████████ | 63681/70000 [22:33:46<2:14:51, 1.28s/step] Training: 91%|█████████ | 63682/70000 [22:33:47<2:14:49, 1.28s/step] Training: 91%|█████████ | 63683/70000 [22:33:48<2:12:06, 1.25s/step] Training: 91%|█████████ | 63684/70000 [22:33:50<2:18:23, 1.31s/step] Training: 91%|█████████ | 63685/70000 [22:33:51<2:19:40, 1.33s/step] Training: 91%|█████████ | 63686/70000 [22:33:52<2:14:57, 1.28s/step] Training: 91%|█████████ | 63687/70000 [22:33:54<2:16:12, 1.29s/step] Training: 91%|█████████ | 63688/70000 [22:33:55<2:12:47, 1.26s/step] Training: 91%|█████████ | 63689/70000 [22:33:56<2:14:41, 1.28s/step] Training: 91%|█████████ | 63690/70000 [22:33:57<2:12:43, 1.26s/step] Training: 91%|█████████ | 63691/70000 [22:33:59<2:10:24, 1.24s/step] Training: 91%|█████████ | 63692/70000 [22:34:00<2:09:54, 1.24s/step] Training: 91%|█████████ | 63693/70000 [22:34:01<2:08:26, 1.22s/step] Training: 91%|█████████ | 63694/70000 [22:34:02<2:12:29, 1.26s/step] Training: 91%|█████████ | 63695/70000 [22:34:04<2:11:04, 1.25s/step] Training: 91%|█████████ | 63696/70000 [22:34:05<2:11:03, 1.25s/step] Training: 91%|█████████ | 63697/70000 [22:34:06<2:12:42, 1.26s/step] Training: 91%|█████████ | 63698/70000 [22:34:08<2:14:45, 1.28s/step] Training: 91%|█████████ | 63699/70000 [22:34:09<2:13:36, 1.27s/step] Training: 91%|█████████ | 63700/70000 [22:34:10<2:11:10, 1.25s/step]INFO 2026-03-13 18:44:02 ot_train.py:435 step:64K smpl:4M ep:14K epch:53.99 loss:0.007 grdn:0.544 lr:1.5e-06 updt_s:1.246 data_s:0.019 Training: 91%|█████████ | 63701/70000 [22:34:11<2:09:30, 1.23s/step] Training: 91%|█████████ | 63702/70000 [22:34:13<2:13:12, 1.27s/step] Training: 91%|█████████ | 63703/70000 [22:34:14<2:11:20, 1.25s/step] Training: 91%|█████████ | 63704/70000 [22:34:15<2:10:31, 1.24s/step] Training: 91%|█████████ | 63705/70000 [22:34:16<2:10:39, 1.25s/step] Training: 91%|█████████ | 63706/70000 [22:34:18<2:15:55, 1.30s/step] Training: 91%|█████████ | 63707/70000 [22:34:19<2:13:07, 1.27s/step] Training: 91%|█████████ | 63708/70000 [22:34:20<2:15:07, 1.29s/step] Training: 91%|█████████ | 63709/70000 [22:34:21<2:12:08, 1.26s/step] Training: 91%|█████████ | 63710/70000 [22:34:23<2:09:51, 1.24s/step] Training: 91%|█████████ | 63711/70000 [22:34:24<2:12:55, 1.27s/step] Training: 91%|█████████ | 63712/70000 [22:34:25<2:10:21, 1.24s/step] Training: 91%|█████████ | 63713/70000 [22:34:26<2:12:49, 1.27s/step] Training: 91%|█████████ | 63714/70000 [22:34:28<2:14:01, 1.28s/step] Training: 91%|█████████ | 63715/70000 [22:34:29<2:15:50, 1.30s/step] Training: 91%|█████████ | 63716/70000 [22:34:30<2:16:48, 1.31s/step] Training: 91%|█████████ | 63717/70000 [22:34:32<2:13:05, 1.27s/step] Training: 91%|█████████ | 63718/70000 [22:34:33<2:12:08, 1.26s/step] Training: 91%|█████████ | 63719/70000 [22:34:34<2:14:27, 1.28s/step] Training: 91%|█████████ | 63720/70000 [22:34:36<2:47:35, 1.60s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 91%|█████████ | 63721/70000 [22:34:41<4:11:29, 2.40s/step] Training: 91%|█████████ | 63722/70000 [22:34:42<3:35:32, 2.06s/step] Training: 91%|█████████ | 63723/70000 [22:34:43<3:14:12, 1.86s/step] Training: 91%|█████████ | 63724/70000 [22:34:45<2:59:16, 1.71s/step] Training: 91%|█████████ | 63725/70000 [22:34:46<2:42:59, 1.56s/step] Training: 91%|█████████ | 63726/70000 [22:34:47<2:34:26, 1.48s/step] Training: 91%|█████████ | 63727/70000 [22:34:48<2:25:11, 1.39s/step] Training: 91%|█████████ | 63728/70000 [22:34:50<2:24:38, 1.38s/step] Training: 91%|█████████ | 63729/70000 [22:34:51<2:24:09, 1.38s/step] Training: 91%|█████████ | 63730/70000 [22:34:53<2:22:46, 1.37s/step] Training: 91%|█████████ | 63731/70000 [22:34:54<2:18:37, 1.33s/step] Training: 91%|█████████ | 63732/70000 [22:34:55<2:15:16, 1.29s/step] Training: 91%|█████████ | 63733/70000 [22:34:56<2:12:02, 1.26s/step] Training: 91%|█████████ | 63734/70000 [22:34:57<2:09:46, 1.24s/step] Training: 91%|█████████ | 63735/70000 [22:34:59<2:13:00, 1.27s/step] Training: 91%|█████████ | 63736/70000 [22:35:00<2:14:59, 1.29s/step] Training: 91%|█████████ | 63737/70000 [22:35:01<2:14:52, 1.29s/step] Training: 91%|█████████ | 63738/70000 [22:35:03<2:11:36, 1.26s/step] Training: 91%|█████████ | 63739/70000 [22:35:04<2:13:33, 1.28s/step] Training: 91%|█████████ | 63740/70000 [22:35:05<2:15:10, 1.30s/step] Training: 91%|█████████ | 63741/70000 [22:35:06<2:11:55, 1.26s/step] Training: 91%|█████████ | 63742/70000 [22:35:08<2:09:29, 1.24s/step] Training: 91%|█████████ | 63743/70000 [22:35:09<2:15:03, 1.30s/step] Training: 91%|█████████ | 63744/70000 [22:35:10<2:11:41, 1.26s/step] Training: 91%|█████████ | 63745/70000 [22:35:11<2:13:24, 1.28s/step] Training: 91%|█████████ | 63746/70000 [22:35:13<2:13:36, 1.28s/step] Training: 91%|█████████ | 63747/70000 [22:35:14<2:18:21, 1.33s/step] Training: 91%|█████████ | 63748/70000 [22:35:16<2:18:25, 1.33s/step] Training: 91%|█████████ | 63749/70000 [22:35:17<2:14:07, 1.29s/step] Training: 91%|█████████ | 63750/70000 [22:35:18<2:11:03, 1.26s/step] Training: 91%|█████████ | 63751/70000 [22:35:19<2:13:20, 1.28s/step] Training: 91%|█████████ | 63752/70000 [22:35:21<2:14:56, 1.30s/step] Training: 91%|█████████ | 63753/70000 [22:35:22<2:16:04, 1.31s/step] Training: 91%|█████████ | 63754/70000 [22:35:23<2:12:23, 1.27s/step] Training: 91%|█████████ | 63755/70000 [22:35:24<2:14:26, 1.29s/step] Training: 91%|█████████ | 63756/70000 [22:35:26<2:15:57, 1.31s/step] Training: 91%|█████████ | 63757/70000 [22:35:27<2:12:23, 1.27s/step] Training: 91%|█████████ | 63758/70000 [22:35:28<2:09:47, 1.25s/step] Training: 91%|█████████ | 63759/70000 [22:35:29<2:09:48, 1.25s/step] Training: 91%|█████████ | 63760/70000 [22:35:31<2:13:03, 1.28s/step] Training: 91%|█████████ | 63761/70000 [22:35:32<2:15:05, 1.30s/step] Training: 91%|█████████ | 63762/70000 [22:35:33<2:11:34, 1.27s/step] Training: 91%|█████████ | 63763/70000 [22:35:35<2:10:17, 1.25s/step] Training: 91%|█████████ | 63764/70000 [22:35:36<2:09:03, 1.24s/step] Training: 91%|█████████ | 63765/70000 [22:35:37<2:07:36, 1.23s/step] Training: 91%|█████████ | 63766/70000 [22:35:38<2:06:19, 1.22s/step] Training: 91%|█████████ | 63767/70000 [22:35:39<2:06:04, 1.21s/step] Training: 91%|█████████ | 63768/70000 [22:35:41<2:09:30, 1.25s/step] Training: 91%|█████████ | 63769/70000 [22:35:42<2:09:57, 1.25s/step] Training: 91%|█████████ | 63770/70000 [22:35:43<2:07:59, 1.23s/step] Training: 91%|█████████ | 63771/70000 [22:35:44<2:08:19, 1.24s/step] Training: 91%|█████████ | 63772/70000 [22:35:46<2:11:21, 1.27s/step] Training: 91%|█████████ | 63773/70000 [22:35:47<2:09:19, 1.25s/step] Training: 91%|█████████ | 63774/70000 [22:35:48<2:07:36, 1.23s/step] Training: 91%|█████████ | 63775/70000 [22:35:49<2:10:44, 1.26s/step] Training: 91%|█████████ | 63776/70000 [22:35:51<2:13:41, 1.29s/step] Training: 91%|█████████ | 63777/70000 [22:35:52<2:14:43, 1.30s/step] Training: 91%|█████████ | 63778/70000 [22:35:53<2:11:23, 1.27s/step] Training: 91%|█████████ | 63779/70000 [22:35:55<2:13:28, 1.29s/step] Training: 91%|█████████ | 63780/70000 [22:35:56<2:14:47, 1.30s/step] Training: 91%|█████████ | 63781/70000 [22:35:57<2:11:36, 1.27s/step] Training: 91%|█████████ | 63782/70000 [22:35:58<2:08:54, 1.24s/step] Training: 91%|█████████ | 63783/70000 [22:36:00<2:11:29, 1.27s/step] Training: 91%|█████████ | 63784/70000 [22:36:01<2:13:55, 1.29s/step] Training: 91%|█████████ | 63785/70000 [22:36:02<2:18:47, 1.34s/step] Training: 91%|█████████ | 63786/70000 [22:36:04<2:14:04, 1.29s/step] Training: 91%|█████████ | 63787/70000 [22:36:05<2:15:26, 1.31s/step] Training: 91%|█████████ | 63788/70000 [22:36:06<2:16:19, 1.32s/step] Training: 91%|█████████ | 63789/70000 [22:36:08<2:12:29, 1.28s/step] Training: 91%|█████████ | 63790/70000 [22:36:09<2:09:34, 1.25s/step] Training: 91%|█████████ | 63791/70000 [22:36:10<2:08:43, 1.24s/step] Training: 91%|█████████ | 63792/70000 [22:36:11<2:07:53, 1.24s/step] Training: 91%|█████████ | 63793/70000 [22:36:13<2:14:51, 1.30s/step] Training: 91%|█████████ | 63794/70000 [22:36:14<2:11:17, 1.27s/step] Training: 91%|█████████ | 63795/70000 [22:36:15<2:14:27, 1.30s/step] Training: 91%|█████████ | 63796/70000 [22:36:16<2:11:32, 1.27s/step] Training: 91%|█████████ | 63797/70000 [22:36:18<2:08:54, 1.25s/step] Training: 91%|█████████ | 63798/70000 [22:36:19<2:06:59, 1.23s/step] Training: 91%|█████████ | 63799/70000 [22:36:20<2:06:07, 1.22s/step] Training: 91%|█████████ | 63800/70000 [22:36:21<2:06:29, 1.22s/step]INFO 2026-03-13 18:46:13 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.08 loss:0.008 grdn:0.559 lr:1.5e-06 updt_s:1.252 data_s:0.058 Training: 91%|█████████ | 63801/70000 [22:36:22<2:07:29, 1.23s/step] Training: 91%|█████████ | 63802/70000 [22:36:24<2:06:00, 1.22s/step] Training: 91%|█████████ | 63803/70000 [22:36:25<2:07:02, 1.23s/step] Training: 91%|█████████ | 63804/70000 [22:36:26<2:10:16, 1.26s/step] Training: 91%|█████████ | 63805/70000 [22:36:27<2:08:18, 1.24s/step] Training: 91%|█████████ | 63806/70000 [22:36:29<2:06:34, 1.23s/step] Training: 91%|█████████ | 63807/70000 [22:36:30<2:09:47, 1.26s/step] Training: 91%|█████████ | 63808/70000 [22:36:31<2:07:42, 1.24s/step] Training: 91%|█████████ | 63809/70000 [22:36:33<2:12:55, 1.29s/step] Training: 91%|█████████ | 63810/70000 [22:36:34<2:09:52, 1.26s/step] Training: 91%|█████████ | 63811/70000 [22:36:35<2:12:19, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=62442 Training: 91%|█████████ | 63812/70000 [22:36:36<2:14:09, 1.30s/step] Training: 91%|█████████ | 63813/70000 [22:36:38<2:10:44, 1.27s/step] Training: 91%|█████████ | 63814/70000 [22:36:39<2:08:26, 1.25s/step] Training: 91%|█████████ | 63815/70000 [22:36:40<2:11:00, 1.27s/step] Training: 91%|█████████ | 63816/70000 [22:36:41<2:13:01, 1.29s/step] Training: 91%|█████████ | 63817/70000 [22:36:43<2:14:35, 1.31s/step] Training: 91%|█████████ | 63818/70000 [22:36:44<2:10:55, 1.27s/step] Training: 91%|█████████ | 63819/70000 [22:36:45<2:13:10, 1.29s/step] Training: 91%|█████████ | 63820/70000 [22:36:47<2:14:45, 1.31s/step] Training: 91%|█████████ | 63821/70000 [22:36:48<2:11:07, 1.27s/step] Training: 91%|█████████ | 63822/70000 [22:36:49<2:08:25, 1.25s/step] Training: 91%|█████████ | 63823/70000 [22:36:50<2:07:39, 1.24s/step] Training: 91%|█████████ | 63824/70000 [22:36:51<2:06:31, 1.23s/step] Training: 91%|█████████ | 63825/70000 [22:36:53<2:10:47, 1.27s/step] Training: 91%|█████████ | 63826/70000 [22:36:54<2:13:12, 1.29s/step] Training: 91%|█████████ | 63827/70000 [22:36:56<2:15:39, 1.32s/step] Training: 91%|█████████ | 63828/70000 [22:36:57<2:14:59, 1.31s/step] Training: 91%|█████████ | 63829/70000 [22:36:58<2:11:13, 1.28s/step] Training: 91%|█████████ | 63830/70000 [22:36:59<2:08:33, 1.25s/step] Training: 91%|█████████ | 63831/70000 [22:37:00<2:07:34, 1.24s/step] Training: 91%|█████████ | 63832/70000 [22:37:02<2:07:30, 1.24s/step] Training: 91%|█████████ | 63833/70000 [22:37:03<2:08:06, 1.25s/step] Training: 91%|█████████ | 63834/70000 [22:37:04<2:08:33, 1.25s/step] Training: 91%|█████████ | 63835/70000 [22:37:05<2:09:03, 1.26s/step] Training: 91%|█████████ | 63836/70000 [22:37:07<2:06:58, 1.24s/step] Training: 91%|█████████ | 63837/70000 [22:37:08<2:05:27, 1.22s/step] Training: 91%|█████████ | 63838/70000 [22:37:09<2:04:24, 1.21s/step] Training: 91%|█████████ | 63839/70000 [22:37:10<2:03:47, 1.21s/step] Training: 91%|█████████ | 63840/70000 [22:37:12<2:07:06, 1.24s/step] Training: 91%|█████████ | 63841/70000 [22:37:13<2:09:03, 1.26s/step] Training: 91%|█████████ | 63842/70000 [22:37:14<2:09:59, 1.27s/step] Training: 91%|█████████ | 63843/70000 [22:37:16<2:15:36, 1.32s/step] Training: 91%|█████████ | 63844/70000 [22:37:17<2:11:23, 1.28s/step] Training: 91%|█████████ | 63845/70000 [22:37:18<2:08:31, 1.25s/step] Training: 91%|█████████ | 63846/70000 [22:37:19<2:06:34, 1.23s/step] Training: 91%|█████████ | 63847/70000 [22:37:20<2:05:05, 1.22s/step] Training: 91%|█████████ | 63848/70000 [22:37:22<2:10:02, 1.27s/step] Training: 91%|█████████ | 63849/70000 [22:37:23<2:11:51, 1.29s/step] Training: 91%|█████████ | 63850/70000 [22:37:24<2:14:03, 1.31s/step] Training: 91%|█████████ | 63851/70000 [22:37:26<2:14:32, 1.31s/step] Training: 91%|█████████ | 63852/70000 [22:37:27<2:12:18, 1.29s/step] Training: 91%|█████████ | 63853/70000 [22:37:28<2:09:10, 1.26s/step] Training: 91%|█████████ | 63854/70000 [22:37:29<2:06:54, 1.24s/step] Training: 91%|█████████ | 63855/70000 [22:37:31<2:05:21, 1.22s/step] Training: 91%|█████████ | 63856/70000 [22:37:32<2:05:30, 1.23s/step] Training: 91%|█████████ | 63857/70000 [22:37:33<2:09:41, 1.27s/step] Training: 91%|█████████ | 63858/70000 [22:37:34<2:07:11, 1.24s/step] Training: 91%|█████████ | 63859/70000 [22:37:36<2:13:21, 1.30s/step] Training: 91%|█████████ | 63860/70000 [22:37:37<2:10:16, 1.27s/step] Training: 91%|█████████ | 63861/70000 [22:37:38<2:07:50, 1.25s/step] Training: 91%|█████████ | 63862/70000 [22:37:39<2:06:02, 1.23s/step] Training: 91%|█████████ | 63863/70000 [22:37:41<2:04:46, 1.22s/step] Training: 91%|█████████ | 63864/70000 [22:37:42<2:07:55, 1.25s/step] Training: 91%|█████████ | 63865/70000 [22:37:43<2:08:35, 1.26s/step] Training: 91%|█████████ | 63866/70000 [22:37:44<2:06:30, 1.24s/step] Training: 91%|█████████ | 63867/70000 [22:37:46<2:09:55, 1.27s/step] Training: 91%|█████████ | 63868/70000 [22:37:47<2:11:27, 1.29s/step] Training: 91%|█████████ | 63869/70000 [22:37:48<2:08:32, 1.26s/step] Training: 91%|█████████ | 63870/70000 [22:37:49<2:06:23, 1.24s/step] Training: 91%|█████████ | 63871/70000 [22:37:51<2:05:02, 1.22s/step] Training: 91%|█████████ | 63872/70000 [22:37:52<2:07:53, 1.25s/step] Training: 91%|█████████ | 63873/70000 [22:37:53<2:07:01, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=14548 Training: 91%|█████████ | 63874/70000 [22:37:54<2:08:44, 1.26s/step] Training: 91%|█████████▏| 63875/70000 [22:37:56<2:07:17, 1.25s/step] Training: 91%|█████████▏| 63876/70000 [22:37:57<2:13:34, 1.31s/step] Training: 91%|█████████▏| 63877/70000 [22:37:58<2:10:03, 1.27s/step] Training: 91%|█████████▏| 63878/70000 [22:37:59<2:07:24, 1.25s/step] Training: 91%|█████████▏| 63879/70000 [22:38:01<2:05:38, 1.23s/step] Training: 91%|█████████▏| 63880/70000 [22:38:02<2:08:45, 1.26s/step] Training: 91%|█████████▏| 63881/70000 [22:38:03<2:10:51, 1.28s/step] Training: 91%|█████████▏| 63882/70000 [22:38:05<2:08:05, 1.26s/step] Training: 91%|█████████▏| 63883/70000 [22:38:06<2:11:41, 1.29s/step] Training: 91%|█████████▏| 63884/70000 [22:38:07<2:10:20, 1.28s/step] Training: 91%|█████████▏| 63885/70000 [22:38:08<2:07:43, 1.25s/step] Training: 91%|█████████▏| 63886/70000 [22:38:10<2:05:47, 1.23s/step] Training: 91%|█████████▏| 63887/70000 [22:38:11<2:04:31, 1.22s/step] Training: 91%|█████████▏| 63888/70000 [22:38:12<2:05:11, 1.23s/step] Training: 91%|█████████▏| 63889/70000 [22:38:13<2:10:34, 1.28s/step] Training: 91%|█████████▏| 63890/70000 [22:38:15<2:07:42, 1.25s/step] Training: 91%|█████████▏| 63891/70000 [22:38:16<2:09:42, 1.27s/step] Training: 91%|█████████▏| 63892/70000 [22:38:17<2:11:26, 1.29s/step] Training: 91%|█████████▏| 63893/70000 [22:38:18<2:07:59, 1.26s/step] Training: 91%|█████████▏| 63894/70000 [22:38:20<2:05:52, 1.24s/step] Training: 91%|█████████▏| 63895/70000 [22:38:21<2:04:29, 1.22s/step] Training: 91%|█████████▏| 63896/70000 [22:38:22<2:07:31, 1.25s/step] Training: 91%|█████████▏| 63897/70000 [22:38:23<2:08:18, 1.26s/step] Training: 91%|█████████▏| 63898/70000 [22:38:25<2:06:07, 1.24s/step] Training: 91%|█████████▏| 63899/70000 [22:38:26<2:10:53, 1.29s/step] Training: 91%|█████████▏| 63900/70000 [22:38:27<2:12:03, 1.30s/step]INFO 2026-03-13 18:48:19 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.16 loss:0.007 grdn:0.564 lr:1.5e-06 updt_s:1.240 data_s:0.019 Training: 91%|█████████▏| 63901/70000 [22:38:28<2:08:42, 1.27s/step] Training: 91%|█████████▏| 63902/70000 [22:38:30<2:06:19, 1.24s/step] Training: 91%|█████████▏| 63903/70000 [22:38:31<2:04:40, 1.23s/step] Training: 91%|█████████▏| 63904/70000 [22:38:32<2:07:53, 1.26s/step] Training: 91%|█████████▏| 63905/70000 [22:38:33<2:06:39, 1.25s/step] Training: 91%|█████████▏| 63906/70000 [22:38:35<2:08:22, 1.26s/step] Training: 91%|█████████▏| 63907/70000 [22:38:36<2:06:58, 1.25s/step] Training: 91%|█████████▏| 63908/70000 [22:38:37<2:13:07, 1.31s/step] Training: 91%|█████████▏| 63909/70000 [22:38:39<2:09:32, 1.28s/step] Training: 91%|█████████▏| 63910/70000 [22:38:40<2:07:06, 1.25s/step] Training: 91%|█████████▏| 63911/70000 [22:38:41<2:05:13, 1.23s/step] Training: 91%|█████████▏| 63912/70000 [22:38:42<2:08:16, 1.26s/step] Training: 91%|█████████▏| 63913/70000 [22:38:44<2:10:14, 1.28s/step] Training: 91%|█████████▏| 63914/70000 [22:38:45<2:07:19, 1.26s/step] Training: 91%|█████████▏| 63915/70000 [22:38:46<2:05:23, 1.24s/step] Training: 91%|█████████▏| 63916/70000 [22:38:47<2:11:46, 1.30s/step] Training: 91%|█████████▏| 63917/70000 [22:38:49<2:08:27, 1.27s/step] Training: 91%|█████████▏| 63918/70000 [22:38:50<2:06:04, 1.24s/step] Training: 91%|█████████▏| 63919/70000 [22:38:51<2:04:22, 1.23s/step] Training: 91%|█████████▏| 63920/70000 [22:38:52<2:05:43, 1.24s/step] Training: 91%|█████████▏| 63921/70000 [22:38:54<2:09:45, 1.28s/step] Training: 91%|█████████▏| 63922/70000 [22:38:55<2:07:02, 1.25s/step] Training: 91%|█████████▏| 63923/70000 [22:38:56<2:05:06, 1.24s/step] Training: 91%|█████████▏| 63924/70000 [22:38:57<2:06:19, 1.25s/step] Training: 91%|█████████▏| 63925/70000 [22:38:59<2:04:38, 1.23s/step] Training: 91%|█████████▏| 63926/70000 [22:39:00<2:03:24, 1.22s/step] Training: 91%|█████████▏| 63927/70000 [22:39:01<2:02:29, 1.21s/step] Training: 91%|█████████▏| 63928/70000 [22:39:02<2:05:59, 1.25s/step] Training: 91%|█████████▏| 63929/70000 [22:39:03<2:06:02, 1.25s/step] Training: 91%|█████████▏| 63930/70000 [22:39:05<2:04:19, 1.23s/step] Training: 91%|█████████▏| 63931/70000 [22:39:06<2:03:03, 1.22s/step] Training: 91%|█████████▏| 63932/70000 [22:39:07<2:07:35, 1.26s/step] Training: 91%|█████████▏| 63933/70000 [22:39:08<2:05:25, 1.24s/step] Training: 91%|█████████▏| 63934/70000 [22:39:10<2:03:52, 1.23s/step] Training: 91%|█████████▏| 63935/70000 [22:39:11<2:02:49, 1.22s/step] Training: 91%|█████████▏| 63936/70000 [22:39:12<2:06:14, 1.25s/step] Training: 91%|█████████▏| 63937/70000 [22:39:13<2:09:03, 1.28s/step] Training: 91%|█████████▏| 63938/70000 [22:39:15<2:06:21, 1.25s/step] Training: 91%|█████████▏| 63939/70000 [22:39:16<2:04:38, 1.23s/step] Training: 91%|█████████▏| 63940/70000 [22:39:17<2:07:39, 1.26s/step] Training: 91%|█████████▏| 63941/70000 [22:39:18<2:05:25, 1.24s/step] Training: 91%|█████████▏| 63942/70000 [22:39:20<2:03:47, 1.23s/step] Training: 91%|█████████▏| 63943/70000 [22:39:21<2:02:34, 1.21s/step] Training: 91%|█████████▏| 63944/70000 [22:39:22<2:05:59, 1.25s/step] Training: 91%|█████████▏| 63945/70000 [22:39:23<2:08:30, 1.27s/step] Training: 91%|█████████▏| 63946/70000 [22:39:25<2:05:55, 1.25s/step] Training: 91%|█████████▏| 63947/70000 [22:39:26<2:04:03, 1.23s/step] Training: 91%|█████████▏| 63948/70000 [22:39:27<2:08:30, 1.27s/step] Training: 91%|█████████▏| 63949/70000 [22:39:29<2:10:21, 1.29s/step] Training: 91%|█████████▏| 63950/70000 [22:39:30<2:06:57, 1.26s/step] Training: 91%|█████████▏| 63951/70000 [22:39:31<2:04:49, 1.24s/step] Training: 91%|█████████▏| 63952/70000 [22:39:32<2:04:36, 1.24s/step] Training: 91%|█████████▏| 63953/70000 [22:39:33<2:08:35, 1.28s/step] Training: 91%|█████████▏| 63954/70000 [22:39:35<2:06:02, 1.25s/step] Training: 91%|█████████▏| 63955/70000 [22:39:36<2:04:06, 1.23s/step] Training: 91%|█████████▏| 63956/70000 [22:39:37<2:07:16, 1.26s/step] Training: 91%|█████████▏| 63957/70000 [22:39:38<2:06:51, 1.26s/step] Training: 91%|█████████▏| 63958/70000 [22:39:40<2:04:40, 1.24s/step] Training: 91%|█████████▏| 63959/70000 [22:39:41<2:03:10, 1.22s/step] Training: 91%|█████████▏| 63960/70000 [22:39:42<2:06:34, 1.26s/step] Training: 91%|█████████▏| 63961/70000 [22:39:43<2:07:06, 1.26s/step] Training: 91%|█████████▏| 63962/70000 [22:39:45<2:04:53, 1.24s/step] Training: 91%|█████████▏| 63963/70000 [22:39:46<2:03:20, 1.23s/step] Training: 91%|█████████▏| 63964/70000 [22:39:47<2:06:45, 1.26s/step] Training: 91%|█████████▏| 63965/70000 [22:39:48<2:04:34, 1.24s/step] Training: 91%|█████████▏| 63966/70000 [22:39:50<2:07:46, 1.27s/step] Training: 91%|█████████▏| 63967/70000 [22:39:51<2:05:02, 1.24s/step] Training: 91%|█████████▏| 63968/70000 [22:39:52<2:07:41, 1.27s/step] Training: 91%|█████████▏| 63969/70000 [22:39:53<2:05:54, 1.25s/step] Training: 91%|█████████▏| 63970/70000 [22:39:55<2:07:20, 1.27s/step] Training: 91%|█████████▏| 63971/70000 [22:39:56<2:05:07, 1.25s/step] Training: 91%|█████████▏| 63972/70000 [22:39:57<2:07:54, 1.27s/step] Training: 91%|█████████▏| 63973/70000 [22:39:59<2:10:17, 1.30s/step] Training: 91%|█████████▏| 63974/70000 [22:40:00<2:06:40, 1.26s/step] Training: 91%|█████████▏| 63975/70000 [22:40:01<2:04:36, 1.24s/step] Training: 91%|█████████▏| 63976/70000 [22:40:02<2:07:43, 1.27s/step] Training: 91%|█████████▏| 63977/70000 [22:40:04<2:10:01, 1.30s/step] Training: 91%|█████████▏| 63978/70000 [22:40:05<2:07:02, 1.27s/step] Training: 91%|█████████▏| 63979/70000 [22:40:06<2:04:38, 1.24s/step] Training: 91%|█████████▏| 63980/70000 [22:40:07<2:08:56, 1.29s/step] Training: 91%|█████████▏| 63981/70000 [22:40:09<2:06:05, 1.26s/step] Training: 91%|█████████▏| 63982/70000 [22:40:10<2:08:32, 1.28s/step] Training: 91%|█████████▏| 63983/70000 [22:40:11<2:06:09, 1.26s/step] Training: 91%|█████████▏| 63984/70000 [22:40:12<2:05:43, 1.25s/step] Training: 91%|█████████▏| 63985/70000 [22:40:14<2:08:32, 1.28s/step] Training: 91%|█████████▏| 63986/70000 [22:40:15<2:05:46, 1.25s/step] Training: 91%|█████████▏| 63987/70000 [22:40:16<2:03:46, 1.24s/step] Training: 91%|█████████▏| 63988/70000 [22:40:17<2:04:26, 1.24s/step] Training: 91%|█████████▏| 63989/70000 [22:40:19<2:02:57, 1.23s/step] Training: 91%|█████████▏| 63990/70000 [22:40:20<2:06:22, 1.26s/step] Training: 91%|█████████▏| 63991/70000 [22:40:21<2:04:01, 1.24s/step] Training: 91%|█████████▏| 63992/70000 [22:40:22<2:06:39, 1.26s/step] Training: 91%|█████████▏| 63993/70000 [22:40:24<2:06:39, 1.27s/step] Training: 91%|█████████▏| 63994/70000 [22:40:25<2:04:29, 1.24s/step] Training: 91%|█████████▏| 63995/70000 [22:40:26<2:02:54, 1.23s/step] Training: 91%|█████████▏| 63996/70000 [22:40:27<2:06:06, 1.26s/step] Training: 91%|█████████▏| 63997/70000 [22:40:29<2:03:58, 1.24s/step] Training: 91%|█████████▏| 63998/70000 [22:40:30<2:07:09, 1.27s/step] Training: 91%|█████████▏| 63999/70000 [22:40:31<2:04:28, 1.24s/step] Training: 91%|█████████▏| 64000/70000 [22:40:32<2:06:56, 1.27s/step]INFO 2026-03-13 18:50:25 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.25 loss:0.008 grdn:0.553 lr:1.4e-06 updt_s:1.231 data_s:0.019 Training: 91%|█████████▏| 64001/70000 [22:40:34<2:05:22, 1.25s/step] Training: 91%|█████████▏| 64002/70000 [22:40:35<2:06:36, 1.27s/step] Training: 91%|█████████▏| 64003/70000 [22:40:36<2:04:18, 1.24s/step] Training: 91%|█████████▏| 64004/70000 [22:40:38<2:06:58, 1.27s/step] Training: 91%|█████████▏| 64005/70000 [22:40:39<2:04:41, 1.25s/step] Training: 91%|█████████▏| 64006/70000 [22:40:40<2:03:55, 1.24s/step] Training: 91%|█████████▏| 64007/70000 [22:40:41<2:02:23, 1.23s/step] Training: 91%|█████████▏| 64008/70000 [22:40:42<2:05:38, 1.26s/step] Training: 91%|█████████▏| 64009/70000 [22:40:44<2:07:42, 1.28s/step] Training: 91%|█████████▏| 64010/70000 [22:40:45<2:04:55, 1.25s/step] Training: 91%|█████████▏| 64011/70000 [22:40:46<2:03:01, 1.23s/step] Training: 91%|█████████▏| 64012/70000 [22:40:48<2:07:03, 1.27s/step] Training: 91%|█████████▏| 64013/70000 [22:40:49<2:04:29, 1.25s/step] Training: 91%|█████████▏| 64014/70000 [22:40:50<2:02:44, 1.23s/step] Training: 91%|█████████▏| 64015/70000 [22:40:51<2:06:10, 1.26s/step] Training: 91%|█████████▏| 64016/70000 [22:40:52<2:04:52, 1.25s/step] Training: 91%|█████████▏| 64017/70000 [22:40:54<2:08:06, 1.28s/step] Training: 91%|█████████▏| 64018/70000 [22:40:55<2:05:10, 1.26s/step] Training: 91%|█████████▏| 64019/70000 [22:40:56<2:03:14, 1.24s/step] Training: 91%|█████████▏| 64020/70000 [22:40:57<2:04:09, 1.25s/step] Training: 91%|█████████▏| 64021/70000 [22:40:59<2:02:29, 1.23s/step] Training: 91%|█████████▏| 64022/70000 [22:41:00<2:01:18, 1.22s/step] Training: 91%|█████████▏| 64023/70000 [22:41:01<2:00:20, 1.21s/step] Training: 91%|█████████▏| 64024/70000 [22:41:02<2:03:58, 1.24s/step] Training: 91%|█████████▏| 64025/70000 [22:41:04<2:03:19, 1.24s/step] Training: 91%|█████████▏| 64026/70000 [22:41:05<2:01:53, 1.22s/step] Training: 91%|█████████▏| 64027/70000 [22:41:06<2:00:49, 1.21s/step] Training: 91%|█████████▏| 64028/70000 [22:41:07<2:04:36, 1.25s/step] Training: 91%|█████████▏| 64029/70000 [22:41:09<2:02:53, 1.23s/step] Training: 91%|█████████▏| 64030/70000 [22:41:10<2:01:30, 1.22s/step] Training: 91%|█████████▏| 64031/70000 [22:41:11<2:02:03, 1.23s/step] Training: 91%|█████████▏| 64032/70000 [22:41:12<2:04:46, 1.25s/step] Training: 91%|█████████▏| 64033/70000 [22:41:14<2:07:19, 1.28s/step] Training: 91%|█████████▏| 64034/70000 [22:41:15<2:04:31, 1.25s/step] Training: 91%|█████████▏| 64035/70000 [22:41:16<2:02:41, 1.23s/step] Training: 91%|█████████▏| 64036/70000 [22:41:17<2:05:43, 1.26s/step] Training: 91%|█████████▏| 64037/70000 [22:41:19<2:07:38, 1.28s/step] Training: 91%|█████████▏| 64038/70000 [22:41:20<2:04:49, 1.26s/step] Training: 91%|█████████▏| 64039/70000 [22:41:21<2:04:08, 1.25s/step] Training: 91%|█████████▏| 64040/70000 [22:41:22<2:06:23, 1.27s/step] Training: 91%|█████████▏| 64041/70000 [22:41:24<2:07:54, 1.29s/step] Training: 91%|█████████▏| 64042/70000 [22:41:25<2:04:57, 1.26s/step] Training: 91%|█████████▏| 64043/70000 [22:41:26<2:02:57, 1.24s/step] Training: 91%|█████████▏| 64044/70000 [22:41:27<2:02:49, 1.24s/step] Training: 91%|█████████▏| 64045/70000 [22:41:29<2:03:08, 1.24s/step] Training: 91%|█████████▏| 64046/70000 [22:41:30<2:01:40, 1.23s/step] Training: 91%|█████████▏| 64047/70000 [22:41:31<2:00:38, 1.22s/step] Training: 91%|█████████▏| 64048/70000 [22:41:32<2:07:44, 1.29s/step] Training: 91%|█████████▏| 64049/70000 [22:41:34<2:09:53, 1.31s/step] Training: 92%|█████████▏| 64050/70000 [22:41:35<2:06:17, 1.27s/step] Training: 92%|█████████▏| 64051/70000 [22:41:36<2:03:46, 1.25s/step] Training: 92%|█████████▏| 64052/70000 [22:41:37<2:02:54, 1.24s/step] Training: 92%|█████████▏| 64053/70000 [22:41:39<2:01:58, 1.23s/step] Training: 92%|█████████▏| 64054/70000 [22:41:40<2:00:44, 1.22s/step] Training: 92%|█████████▏| 64055/70000 [22:41:41<1:59:50, 1.21s/step] Training: 92%|█████████▏| 64056/70000 [22:41:42<2:06:11, 1.27s/step] Training: 92%|█████████▏| 64057/70000 [22:41:44<2:08:44, 1.30s/step] Training: 92%|█████████▏| 64058/70000 [22:41:45<2:05:22, 1.27s/step] Training: 92%|█████████▏| 64059/70000 [22:41:46<2:03:17, 1.25s/step] Training: 92%|█████████▏| 64060/70000 [22:41:47<2:06:08, 1.27s/step] Training: 92%|█████████▏| 64061/70000 [22:41:49<2:07:43, 1.29s/step] Training: 92%|█████████▏| 64062/70000 [22:41:50<2:04:49, 1.26s/step] Training: 92%|█████████▏| 64063/70000 [22:41:51<2:02:38, 1.24s/step] Training: 92%|█████████▏| 64064/70000 [22:41:53<2:05:59, 1.27s/step] Training: 92%|█████████▏| 64065/70000 [22:41:54<2:07:27, 1.29s/step] Training: 92%|█████████▏| 64066/70000 [22:41:55<2:04:41, 1.26s/step] Training: 92%|█████████▏| 64067/70000 [22:41:56<2:02:30, 1.24s/step] Training: 92%|█████████▏| 64068/70000 [22:41:58<2:05:17, 1.27s/step] Training: 92%|█████████▏| 64069/70000 [22:41:59<2:07:45, 1.29s/step] Training: 92%|█████████▏| 64070/70000 [22:42:00<2:04:46, 1.26s/step] Training: 92%|█████████▏| 64071/70000 [22:42:01<2:02:39, 1.24s/step] Training: 92%|█████████▏| 64072/70000 [22:42:03<2:05:57, 1.27s/step] Training: 92%|█████████▏| 64073/70000 [22:42:04<2:07:35, 1.29s/step] Training: 92%|█████████▏| 64074/70000 [22:42:05<2:04:30, 1.26s/step] Training: 92%|█████████▏| 64075/70000 [22:42:06<2:02:25, 1.24s/step] Training: 92%|█████████▏| 64076/70000 [22:42:08<2:02:18, 1.24s/step] Training: 92%|█████████▏| 64077/70000 [22:42:09<2:05:50, 1.27s/step] Training: 92%|█████████▏| 64078/70000 [22:42:10<2:03:21, 1.25s/step] Training: 92%|█████████▏| 64079/70000 [22:42:11<2:01:41, 1.23s/step] Training: 92%|█████████▏| 64080/70000 [22:42:13<2:04:35, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=26343 Training: 92%|█████████▏| 64081/70000 [22:42:14<2:09:50, 1.32s/step] Training: 92%|█████████▏| 64082/70000 [22:42:15<2:06:10, 1.28s/step] Training: 92%|█████████▏| 64083/70000 [22:42:17<2:03:30, 1.25s/step] Training: 92%|█████████▏| 64084/70000 [22:42:18<2:02:37, 1.24s/step] Training: 92%|█████████▏| 64085/70000 [22:42:19<2:01:43, 1.23s/step] Training: 92%|█████████▏| 64086/70000 [22:42:20<2:00:25, 1.22s/step] Training: 92%|█████████▏| 64087/70000 [22:42:21<1:59:29, 1.21s/step] Training: 92%|█████████▏| 64088/70000 [22:42:23<2:02:57, 1.25s/step] Training: 92%|█████████▏| 64089/70000 [22:42:24<2:06:07, 1.28s/step] Training: 92%|█████████▏| 64090/70000 [22:42:25<2:03:08, 1.25s/step] Training: 92%|█████████▏| 64091/70000 [22:42:26<2:01:30, 1.23s/step] Training: 92%|█████████▏| 64092/70000 [22:42:28<2:04:37, 1.27s/step] Training: 92%|█████████▏| 64093/70000 [22:42:29<2:06:22, 1.28s/step] Training: 92%|█████████▏| 64094/70000 [22:42:30<2:03:31, 1.25s/step] Training: 92%|█████████▏| 64095/70000 [22:42:31<2:01:32, 1.23s/step] Training: 92%|█████████▏| 64096/70000 [22:42:33<2:04:34, 1.27s/step] Training: 92%|█████████▏| 64097/70000 [22:42:34<2:08:37, 1.31s/step] Training: 92%|█████████▏| 64098/70000 [22:42:35<2:05:05, 1.27s/step] Training: 92%|█████████▏| 64099/70000 [22:42:37<2:02:38, 1.25s/step] Training: 92%|█████████▏| 64100/70000 [22:42:38<2:05:22, 1.28s/step]INFO 2026-03-13 18:52:30 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.33 loss:0.007 grdn:0.549 lr:1.4e-06 updt_s:1.233 data_s:0.019 Training: 92%|█████████▏| 64101/70000 [22:42:39<2:07:17, 1.29s/step] Training: 92%|█████████▏| 64102/70000 [22:42:40<2:04:15, 1.26s/step] Training: 92%|█████████▏| 64103/70000 [22:42:42<2:02:08, 1.24s/step] Training: 92%|█████████▏| 64104/70000 [22:42:43<2:04:38, 1.27s/step] Training: 92%|█████████▏| 64105/70000 [22:42:44<2:07:00, 1.29s/step] Training: 92%|█████████▏| 64106/70000 [22:42:46<2:07:19, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=53074 Training: 92%|█████████▏| 64107/70000 [22:42:47<2:04:01, 1.26s/step] Training: 92%|█████████▏| 64108/70000 [22:42:48<2:03:29, 1.26s/step] Training: 92%|█████████▏| 64109/70000 [22:42:49<2:05:33, 1.28s/step] Training: 92%|█████████▏| 64110/70000 [22:42:51<2:02:56, 1.25s/step] Training: 92%|█████████▏| 64111/70000 [22:42:52<2:01:05, 1.23s/step] Training: 92%|█████████▏| 64112/70000 [22:42:53<2:03:56, 1.26s/step] Training: 92%|█████████▏| 64113/70000 [22:42:54<2:02:55, 1.25s/step] Training: 92%|█████████▏| 64114/70000 [22:42:56<2:03:50, 1.26s/step] Training: 92%|█████████▏| 64115/70000 [22:42:57<2:01:35, 1.24s/step] Training: 92%|█████████▏| 64116/70000 [22:42:58<2:00:49, 1.23s/step] Training: 92%|█████████▏| 64117/70000 [22:42:59<2:02:39, 1.25s/step] Training: 92%|█████████▏| 64118/70000 [22:43:00<2:00:47, 1.23s/step] Training: 92%|█████████▏| 64119/70000 [22:43:02<1:59:28, 1.22s/step] Training: 92%|█████████▏| 64120/70000 [22:43:03<2:02:45, 1.25s/step] Training: 92%|█████████▏| 64121/70000 [22:43:04<2:02:10, 1.25s/step] Training: 92%|█████████▏| 64122/70000 [22:43:06<2:05:04, 1.28s/step] Training: 92%|█████████▏| 64123/70000 [22:43:07<2:02:20, 1.25s/step] Training: 92%|█████████▏| 64124/70000 [22:43:08<2:04:49, 1.27s/step] Training: 92%|█████████▏| 64125/70000 [22:43:09<2:02:21, 1.25s/step] Training: 92%|█████████▏| 64126/70000 [22:43:10<2:00:29, 1.23s/step] Training: 92%|█████████▏| 64127/70000 [22:43:12<1:59:19, 1.22s/step] Training: 92%|█████████▏| 64128/70000 [22:43:13<2:02:46, 1.25s/step] Training: 92%|█████████▏| 64129/70000 [22:43:14<2:01:34, 1.24s/step] Training: 92%|█████████▏| 64130/70000 [22:43:16<2:03:36, 1.26s/step] Training: 92%|█████████▏| 64131/70000 [22:43:17<2:01:15, 1.24s/step] Training: 92%|█████████▏| 64132/70000 [22:43:18<2:03:58, 1.27s/step] Training: 92%|█████████▏| 64133/70000 [22:43:19<2:01:40, 1.24s/step] Training: 92%|█████████▏| 64134/70000 [22:43:20<2:00:00, 1.23s/step] Training: 92%|█████████▏| 64135/70000 [22:43:22<1:58:51, 1.22s/step] Training: 92%|█████████▏| 64136/70000 [22:43:23<2:02:10, 1.25s/step] Training: 92%|█████████▏| 64137/70000 [22:43:24<2:00:17, 1.23s/step] Training: 92%|█████████▏| 64138/70000 [22:43:26<2:07:22, 1.30s/step] Training: 92%|█████████▏| 64139/70000 [22:43:27<2:03:48, 1.27s/step] Training: 92%|█████████▏| 64140/70000 [22:43:28<2:03:01, 1.26s/step] Training: 92%|█████████▏| 64141/70000 [22:43:29<2:02:11, 1.25s/step] Training: 92%|█████████▏| 64142/70000 [22:43:30<2:00:21, 1.23s/step] Training: 92%|█████████▏| 64143/70000 [22:43:32<1:59:13, 1.22s/step] Training: 92%|█████████▏| 64144/70000 [22:43:33<2:02:18, 1.25s/step] Training: 92%|█████████▏| 64145/70000 [22:43:34<2:04:42, 1.28s/step] Training: 92%|█████████▏| 64146/70000 [22:43:36<2:02:27, 1.26s/step] Training: 92%|█████████▏| 64147/70000 [22:43:37<2:04:54, 1.28s/step] Training: 92%|█████████▏| 64148/70000 [22:43:38<2:02:39, 1.26s/step] Training: 92%|█████████▏| 64149/70000 [22:43:39<2:01:13, 1.24s/step] Training: 92%|█████████▏| 64150/70000 [22:43:40<1:59:43, 1.23s/step] Training: 92%|█████████▏| 64151/70000 [22:43:42<1:58:35, 1.22s/step] Training: 92%|█████████▏| 64152/70000 [22:43:43<2:02:19, 1.26s/step] Training: 92%|█████████▏| 64153/70000 [22:43:44<2:01:10, 1.24s/step] Training: 92%|█████████▏| 64154/70000 [22:43:46<2:03:47, 1.27s/step] Training: 92%|█████████▏| 64155/70000 [22:43:47<2:05:59, 1.29s/step] Training: 92%|█████████▏| 64156/70000 [22:43:48<2:07:03, 1.30s/step] Training: 92%|█████████▏| 64157/70000 [22:43:50<2:07:55, 1.31s/step] Training: 92%|█████████▏| 64158/70000 [22:43:51<2:04:15, 1.28s/step] Training: 92%|█████████▏| 64159/70000 [22:43:52<2:01:49, 1.25s/step] Training: 92%|█████████▏| 64160/70000 [22:43:53<2:03:51, 1.27s/step] Training: 92%|█████████▏| 64161/70000 [22:43:54<2:02:28, 1.26s/step] Training: 92%|█████████▏| 64162/70000 [22:43:56<2:04:25, 1.28s/step] Training: 92%|█████████▏| 64163/70000 [22:43:57<2:01:48, 1.25s/step] Training: 92%|█████████▏| 64164/70000 [22:43:58<2:04:10, 1.28s/step] Training: 92%|█████████▏| 64165/70000 [22:44:00<2:05:30, 1.29s/step] Training: 92%|█████████▏| 64166/70000 [22:44:01<2:02:31, 1.26s/step] Training: 92%|█████████▏| 64167/70000 [22:44:02<2:00:21, 1.24s/step] Training: 92%|█████████▏| 64168/70000 [22:44:03<2:03:09, 1.27s/step] Training: 92%|█████████▏| 64169/70000 [22:44:05<2:00:56, 1.24s/step] Training: 92%|█████████▏| 64170/70000 [22:44:06<2:06:13, 1.30s/step] Training: 92%|█████████▏| 64171/70000 [22:44:07<2:03:53, 1.28s/step] Training: 92%|█████████▏| 64172/70000 [22:44:08<2:03:16, 1.27s/step] Training: 92%|█████████▏| 64173/70000 [22:44:10<2:01:47, 1.25s/step] Training: 92%|█████████▏| 64174/70000 [22:44:11<1:59:54, 1.23s/step] Training: 92%|█████████▏| 64175/70000 [22:44:12<1:58:31, 1.22s/step] Training: 92%|█████████▏| 64176/70000 [22:44:13<2:01:39, 1.25s/step] Training: 92%|█████████▏| 64177/70000 [22:44:15<2:03:37, 1.27s/step] Training: 92%|█████████▏| 64178/70000 [22:44:16<2:01:46, 1.25s/step] Training: 92%|█████████▏| 64179/70000 [22:44:17<2:01:53, 1.26s/step] Training: 92%|█████████▏| 64180/70000 [22:44:18<2:00:48, 1.25s/step] Training: 92%|█████████▏| 64181/70000 [22:44:20<1:59:56, 1.24s/step] Training: 92%|█████████▏| 64182/70000 [22:44:21<1:58:36, 1.22s/step] Training: 92%|█████████▏| 64183/70000 [22:44:22<1:57:32, 1.21s/step] Training: 92%|█████████▏| 64184/70000 [22:44:23<2:00:59, 1.25s/step] Training: 92%|█████████▏| 64185/70000 [22:44:25<2:00:35, 1.24s/step] Training: 92%|█████████▏| 64186/70000 [22:44:26<2:02:59, 1.27s/step] Training: 92%|█████████▏| 64187/70000 [22:44:27<2:00:48, 1.25s/step] Training: 92%|█████████▏| 64188/70000 [22:44:29<2:06:20, 1.30s/step] Training: 92%|█████████▏| 64189/70000 [22:44:30<2:07:01, 1.31s/step] Training: 92%|█████████▏| 64190/70000 [22:44:31<2:03:27, 1.27s/step] Training: 92%|█████████▏| 64191/70000 [22:44:32<2:00:49, 1.25s/step] Training: 92%|█████████▏| 64192/70000 [22:44:34<2:02:52, 1.27s/step] Training: 92%|█████████▏| 64193/70000 [22:44:35<2:01:43, 1.26s/step] Training: 92%|█████████▏| 64194/70000 [22:44:36<2:03:36, 1.28s/step] Training: 92%|█████████▏| 64195/70000 [22:44:37<2:00:57, 1.25s/step] Training: 92%|█████████▏| 64196/70000 [22:44:39<2:05:26, 1.30s/step] Training: 92%|█████████▏| 64197/70000 [22:44:40<2:06:09, 1.30s/step] Training: 92%|█████████▏| 64198/70000 [22:44:41<2:02:47, 1.27s/step] Training: 92%|█████████▏| 64199/70000 [22:44:42<2:00:21, 1.24s/step] Training: 92%|█████████▏| 64200/70000 [22:44:44<2:02:59, 1.27s/step]INFO 2026-03-13 18:54:36 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.42 loss:0.008 grdn:0.630 lr:1.4e-06 updt_s:1.237 data_s:0.019 Training: 92%|█████████▏| 64201/70000 [22:44:45<2:00:39, 1.25s/step] Training: 92%|█████████▏| 64202/70000 [22:44:46<2:05:42, 1.30s/step] Training: 92%|█████████▏| 64203/70000 [22:44:48<2:02:31, 1.27s/step] Training: 92%|█████████▏| 64204/70000 [22:44:49<2:01:36, 1.26s/step] Training: 92%|█████████▏| 64205/70000 [22:44:50<2:03:56, 1.28s/step] Training: 92%|█████████▏| 64206/70000 [22:44:51<2:00:56, 1.25s/step] Training: 92%|█████████▏| 64207/70000 [22:44:52<1:59:08, 1.23s/step] Training: 92%|█████████▏| 64208/70000 [22:44:54<2:01:58, 1.26s/step] Training: 92%|█████████▏| 64209/70000 [22:44:55<2:03:56, 1.28s/step] Training: 92%|█████████▏| 64210/70000 [22:44:56<2:02:28, 1.27s/step] Training: 92%|█████████▏| 64211/70000 [22:44:58<2:00:05, 1.24s/step] Training: 92%|█████████▏| 64212/70000 [22:44:59<2:03:03, 1.28s/step] Training: 92%|█████████▏| 64213/70000 [22:45:00<2:01:05, 1.26s/step] Training: 92%|█████████▏| 64214/70000 [22:45:01<1:59:09, 1.24s/step] Training: 92%|█████████▏| 64215/70000 [22:45:03<1:57:43, 1.22s/step] Training: 92%|█████████▏| 64216/70000 [22:45:04<2:02:20, 1.27s/step] Training: 92%|█████████▏| 64217/70000 [22:45:05<2:00:24, 1.25s/step] Training: 92%|█████████▏| 64218/70000 [22:45:06<2:02:37, 1.27s/step] Training: 92%|█████████▏| 64219/70000 [22:45:08<2:00:07, 1.25s/step] Training: 92%|█████████▏| 64220/70000 [22:45:09<2:02:40, 1.27s/step] Training: 92%|█████████▏| 64221/70000 [22:45:10<2:07:47, 1.33s/step] Training: 92%|█████████▏| 64222/70000 [22:45:12<2:03:45, 1.29s/step] Training: 92%|█████████▏| 64223/70000 [22:45:13<2:01:14, 1.26s/step] Training: 92%|█████████▏| 64224/70000 [22:45:14<2:03:23, 1.28s/step] Training: 92%|█████████▏| 64225/70000 [22:45:15<2:01:58, 1.27s/step] Training: 92%|█████████▏| 64226/70000 [22:45:17<2:03:58, 1.29s/step] Training: 92%|█████████▏| 64227/70000 [22:45:18<2:01:03, 1.26s/step] Training: 92%|█████████▏| 64228/70000 [22:45:19<2:03:13, 1.28s/step] Training: 92%|█████████▏| 64229/70000 [22:45:21<2:07:46, 1.33s/step] Training: 92%|█████████▏| 64230/70000 [22:45:22<2:03:43, 1.29s/step] Training: 92%|█████████▏| 64231/70000 [22:45:23<2:00:48, 1.26s/step] Training: 92%|█████████▏| 64232/70000 [22:45:24<2:02:58, 1.28s/step] Training: 92%|█████████▏| 64233/70000 [22:45:26<2:00:22, 1.25s/step] Training: 92%|█████████▏| 64234/70000 [22:45:27<2:05:09, 1.30s/step] Training: 92%|█████████▏| 64235/70000 [22:45:28<2:02:01, 1.27s/step] Training: 92%|█████████▏| 64236/70000 [22:45:29<2:00:43, 1.26s/step] Training: 92%|█████████▏| 64237/70000 [22:45:31<1:59:54, 1.25s/step] Training: 92%|█████████▏| 64238/70000 [22:45:32<1:58:10, 1.23s/step] Training: 92%|█████████▏| 64239/70000 [22:45:33<1:57:00, 1.22s/step] Training: 92%|█████████▏| 64240/70000 [22:45:34<2:00:01, 1.25s/step] Training: 92%|█████████▏| 64241/70000 [22:45:36<1:58:26, 1.23s/step] Training: 92%|█████████▏| 64242/70000 [22:45:37<2:00:57, 1.26s/step] Training: 92%|█████████▏| 64243/70000 [22:45:38<1:58:55, 1.24s/step] Training: 92%|█████████▏| 64244/70000 [22:45:39<1:58:22, 1.23s/step] Training: 92%|█████████▏| 64245/70000 [22:45:41<1:59:08, 1.24s/step] Training: 92%|█████████▏| 64246/70000 [22:45:42<1:57:35, 1.23s/step] Training: 92%|█████████▏| 64247/70000 [22:45:43<1:56:30, 1.22s/step] Training: 92%|█████████▏| 64248/70000 [22:45:44<2:01:07, 1.26s/step] Training: 92%|█████████▏| 64249/70000 [22:45:45<1:58:57, 1.24s/step] Training: 92%|█████████▏| 64250/70000 [22:45:47<2:04:03, 1.29s/step] Training: 92%|█████████▏| 64251/70000 [22:45:48<2:01:13, 1.27s/step] Training: 92%|█████████▏| 64252/70000 [22:45:49<2:03:07, 1.29s/step] Training: 92%|█████████▏| 64253/70000 [22:45:51<2:04:23, 1.30s/step] Training: 92%|█████████▏| 64254/70000 [22:45:52<2:01:11, 1.27s/step] Training: 92%|█████████▏| 64255/70000 [22:45:53<1:58:56, 1.24s/step] Training: 92%|█████████▏| 64256/70000 [22:45:54<2:01:18, 1.27s/step] Training: 92%|█████████▏| 64257/70000 [22:45:56<1:59:05, 1.24s/step] Training: 92%|█████████▏| 64258/70000 [22:45:57<2:01:26, 1.27s/step] Training: 92%|█████████▏| 64259/70000 [22:45:58<1:59:07, 1.24s/step] Training: 92%|█████████▏| 64260/70000 [22:45:59<2:01:36, 1.27s/step] Training: 92%|█████████▏| 64261/70000 [22:46:01<2:03:30, 1.29s/step] Training: 92%|█████████▏| 64262/70000 [22:46:02<2:04:45, 1.30s/step] Training: 92%|█████████▏| 64263/70000 [22:46:03<2:01:05, 1.27s/step] Training: 92%|█████████▏| 64264/70000 [22:46:05<2:03:05, 1.29s/step] Training: 92%|█████████▏| 64265/70000 [22:46:06<2:00:23, 1.26s/step] Training: 92%|█████████▏| 64266/70000 [22:46:07<2:02:14, 1.28s/step] Training: 92%|█████████▏| 64267/70000 [22:46:08<1:59:35, 1.25s/step] Training: 92%|█████████▏| 64268/70000 [22:46:10<1:59:16, 1.25s/step] Training: 92%|█████████▏| 64269/70000 [22:46:11<1:58:43, 1.24s/step] Training: 92%|█████████▏| 64270/70000 [22:46:12<1:59:46, 1.25s/step] Training: 92%|█████████▏| 64271/70000 [22:46:13<1:58:08, 1.24s/step] Training: 92%|█████████▏| 64272/70000 [22:46:15<2:00:51, 1.27s/step] Training: 92%|█████████▏| 64273/70000 [22:46:16<1:58:38, 1.24s/step] Training: 92%|█████████▏| 64274/70000 [22:46:17<1:58:45, 1.24s/step] Training: 92%|█████████▏| 64275/70000 [22:46:18<1:57:11, 1.23s/step] Training: 92%|█████████▏| 64276/70000 [22:46:19<1:56:49, 1.22s/step] Training: 92%|█████████▏| 64277/70000 [22:46:21<1:56:23, 1.22s/step] Training: 92%|█████████▏| 64278/70000 [22:46:22<2:00:05, 1.26s/step] Training: 92%|█████████▏| 64279/70000 [22:46:23<1:57:50, 1.24s/step] Training: 92%|█████████▏| 64280/70000 [22:46:25<2:01:31, 1.27s/step] Training: 92%|█████████▏| 64281/70000 [22:46:26<1:59:13, 1.25s/step] Training: 92%|█████████▏| 64282/70000 [22:46:27<2:01:31, 1.28s/step] Training: 92%|█████████▏| 64283/70000 [22:46:28<1:58:58, 1.25s/step] Training: 92%|█████████▏| 64284/70000 [22:46:30<2:01:00, 1.27s/step] Training: 92%|█████████▏| 64285/70000 [22:46:31<2:02:30, 1.29s/step] Training: 92%|█████████▏| 64286/70000 [22:46:32<2:04:11, 1.30s/step] Training: 92%|█████████▏| 64287/70000 [22:46:33<2:00:34, 1.27s/step] Training: 92%|█████████▏| 64288/70000 [22:46:35<2:02:33, 1.29s/step] Training: 92%|█████████▏| 64289/70000 [22:46:36<1:59:41, 1.26s/step] Training: 92%|█████████▏| 64290/70000 [22:46:37<2:01:45, 1.28s/step] Training: 92%|█████████▏| 64291/70000 [22:46:39<1:59:16, 1.25s/step] Training: 92%|█████████▏| 64292/70000 [22:46:40<2:01:32, 1.28s/step] Training: 92%|█████████▏| 64293/70000 [22:46:41<2:02:57, 1.29s/step] Training: 92%|█████████▏| 64294/70000 [22:46:42<1:59:51, 1.26s/step] Training: 92%|█████████▏| 64295/70000 [22:46:44<2:02:28, 1.29s/step] Training: 92%|█████████▏| 64296/70000 [22:46:45<2:03:21, 1.30s/step] Training: 92%|█████████▏| 64297/70000 [22:46:46<2:00:14, 1.27s/step] Training: 92%|█████████▏| 64298/70000 [22:46:48<2:02:03, 1.28s/step] Training: 92%|█████████▏| 64299/70000 [22:46:49<1:59:21, 1.26s/step] Training: 92%|█████████▏| 64300/70000 [22:46:50<2:02:35, 1.29s/step]INFO 2026-03-13 18:56:42 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.50 loss:0.008 grdn:0.784 lr:1.4e-06 updt_s:1.243 data_s:0.019 Training: 92%|█████████▏| 64301/70000 [22:46:51<2:00:45, 1.27s/step] Training: 92%|█████████▏| 64302/70000 [22:46:53<1:58:21, 1.25s/step] Training: 92%|█████████▏| 64303/70000 [22:46:54<2:01:15, 1.28s/step] Training: 92%|█████████▏| 64304/70000 [22:46:55<2:01:31, 1.28s/step] Training: 92%|█████████▏| 64305/70000 [22:46:56<1:58:57, 1.25s/step] Training: 92%|█████████▏| 64306/70000 [22:46:58<1:58:57, 1.25s/step] Training: 92%|█████████▏| 64307/70000 [22:46:59<1:57:01, 1.23s/step] Training: 92%|█████████▏| 64308/70000 [22:47:00<1:57:14, 1.24s/step] Training: 92%|█████████▏| 64309/70000 [22:47:01<1:56:24, 1.23s/step] Training: 92%|█████████▏| 64310/70000 [22:47:02<1:55:30, 1.22s/step] Training: 92%|█████████▏| 64311/70000 [22:47:04<1:56:09, 1.23s/step] Training: 92%|█████████▏| 64312/70000 [22:47:05<1:56:19, 1.23s/step] Training: 92%|█████████▏| 64313/70000 [22:47:06<1:55:14, 1.22s/step] Training: 92%|█████████▏| 64314/70000 [22:47:07<1:58:20, 1.25s/step] Training: 92%|█████████▏| 64315/70000 [22:47:09<1:56:37, 1.23s/step] Training: 92%|█████████▏| 64316/70000 [22:47:10<1:59:26, 1.26s/step] Training: 92%|█████████▏| 64317/70000 [22:47:11<2:01:23, 1.28s/step] Training: 92%|█████████▏| 64318/70000 [22:47:12<1:58:40, 1.25s/step] Training: 92%|█████████▏| 64319/70000 [22:47:14<1:58:53, 1.26s/step] Training: 92%|█████████▏| 64320/70000 [22:47:15<1:57:27, 1.24s/step] Training: 92%|█████████▏| 64321/70000 [22:47:16<1:56:02, 1.23s/step] Training: 92%|█████████▏| 64322/70000 [22:47:17<1:59:00, 1.26s/step] Training: 92%|█████████▏| 64323/70000 [22:47:19<1:57:09, 1.24s/step] Training: 92%|█████████▏| 64324/70000 [22:47:20<1:59:59, 1.27s/step] Training: 92%|█████████▏| 64325/70000 [22:47:21<2:01:29, 1.28s/step] Training: 92%|█████████▏| 64326/70000 [22:47:23<1:58:52, 1.26s/step] Training: 92%|█████████▏| 64327/70000 [22:47:24<1:56:58, 1.24s/step] Training: 92%|█████████▏| 64328/70000 [22:47:25<2:03:23, 1.31s/step] Training: 92%|█████████▏| 64329/70000 [22:47:26<2:00:08, 1.27s/step] Training: 92%|█████████▏| 64330/70000 [22:47:28<2:01:59, 1.29s/step] Training: 92%|█████████▏| 64331/70000 [22:47:29<1:59:04, 1.26s/step] Training: 92%|█████████▏| 64332/70000 [22:47:30<1:58:30, 1.25s/step] Training: 92%|█████████▏| 64333/70000 [22:47:31<1:57:42, 1.25s/step] Training: 92%|█████████▏| 64334/70000 [22:47:33<1:56:10, 1.23s/step] Training: 92%|█████████▏| 64335/70000 [22:47:34<1:55:04, 1.22s/step] Training: 92%|█████████▏| 64336/70000 [22:47:35<1:59:44, 1.27s/step] Training: 92%|█████████▏| 64337/70000 [22:47:36<1:57:29, 1.24s/step] Training: 92%|█████████▏| 64338/70000 [22:47:38<1:57:40, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=53074 Training: 92%|█████████▏| 64339/70000 [22:47:39<1:56:02, 1.23s/step] Training: 92%|█████████▏| 64340/70000 [22:47:40<1:55:58, 1.23s/step] Training: 92%|█████████▏| 64341/70000 [22:47:41<1:55:28, 1.22s/step] Training: 92%|█████████▏| 64342/70000 [22:47:42<1:54:25, 1.21s/step] Training: 92%|█████████▏| 64343/70000 [22:47:44<1:53:41, 1.21s/step] Training: 92%|█████████▏| 64344/70000 [22:47:45<1:58:21, 1.26s/step] Training: 92%|█████████▏| 64345/70000 [22:47:46<1:56:26, 1.24s/step] Training: 92%|█████████▏| 64346/70000 [22:47:47<1:58:59, 1.26s/step] Training: 92%|█████████▏| 64347/70000 [22:47:49<1:56:47, 1.24s/step] Training: 92%|█████████▏| 64348/70000 [22:47:50<1:59:15, 1.27s/step] Training: 92%|█████████▏| 64349/70000 [22:47:51<2:00:57, 1.28s/step] Training: 92%|█████████▏| 64350/70000 [22:47:52<1:58:23, 1.26s/step] Training: 92%|█████████▏| 64351/70000 [22:47:54<1:56:28, 1.24s/step] Training: 92%|█████████▏| 64352/70000 [22:47:55<1:59:10, 1.27s/step] Training: 92%|█████████▏| 64353/70000 [22:47:56<2:01:20, 1.29s/step] Training: 92%|█████████▏| 64354/70000 [22:47:58<2:02:05, 1.30s/step] Training: 92%|█████████▏| 64355/70000 [22:47:59<1:59:03, 1.27s/step] Training: 92%|█████████▏| 64356/70000 [22:48:00<2:00:52, 1.29s/step] Training: 92%|█████████▏| 64357/70000 [22:48:02<2:02:09, 1.30s/step] Training: 92%|█████████▏| 64358/70000 [22:48:03<1:59:01, 1.27s/step] Training: 92%|█████████▏| 64359/70000 [22:48:04<1:56:54, 1.24s/step] Training: 92%|█████████▏| 64360/70000 [22:48:05<2:00:20, 1.28s/step] Training: 92%|█████████▏| 64361/70000 [22:48:07<2:00:34, 1.28s/step] Training: 92%|█████████▏| 64362/70000 [22:48:08<2:01:53, 1.30s/step] Training: 92%|█████████▏| 64363/70000 [22:48:09<1:58:48, 1.26s/step] Training: 92%|█████████▏| 64364/70000 [22:48:10<2:01:45, 1.30s/step] Training: 92%|█████████▏| 64365/70000 [22:48:12<1:59:55, 1.28s/step] Training: 92%|█████████▏| 64366/70000 [22:48:13<1:57:25, 1.25s/step] Training: 92%|█████████▏| 64367/70000 [22:48:14<1:55:37, 1.23s/step] Training: 92%|█████████▏| 64368/70000 [22:48:15<1:58:38, 1.26s/step] Training: 92%|█████████▏| 64369/70000 [22:48:17<2:01:08, 1.29s/step] Training: 92%|█████████▏| 64370/70000 [22:48:18<1:58:30, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=53074 Training: 92%|█████████▏| 64371/70000 [22:48:19<1:56:29, 1.24s/step] Training: 92%|█████████▏| 64372/70000 [22:48:20<1:56:23, 1.24s/step] Training: 92%|█████████▏| 64373/70000 [22:48:22<1:55:30, 1.23s/step] Training: 92%|█████████▏| 64374/70000 [22:48:23<1:54:13, 1.22s/step] Training: 92%|█████████▏| 64375/70000 [22:48:24<1:53:24, 1.21s/step] Training: 92%|█████████▏| 64376/70000 [22:48:25<1:57:54, 1.26s/step] Training: 92%|█████████▏| 64377/70000 [22:48:27<2:00:41, 1.29s/step] Training: 92%|█████████▏| 64378/70000 [22:48:28<2:01:18, 1.29s/step] Training: 92%|█████████▏| 64379/70000 [22:48:29<1:58:19, 1.26s/step] Training: 92%|█████████▏| 64380/70000 [22:48:31<2:00:15, 1.28s/step] Training: 92%|█████████▏| 64381/70000 [22:48:32<2:05:03, 1.34s/step] Training: 92%|█████████▏| 64382/70000 [22:48:33<2:01:00, 1.29s/step] Training: 92%|█████████▏| 64383/70000 [22:48:34<1:58:06, 1.26s/step] Training: 92%|█████████▏| 64384/70000 [22:48:36<1:59:51, 1.28s/step] Training: 92%|█████████▏| 64385/70000 [22:48:37<1:57:11, 1.25s/step] Training: 92%|█████████▏| 64386/70000 [22:48:38<2:01:50, 1.30s/step] Training: 92%|█████████▏| 64387/70000 [22:48:39<1:58:39, 1.27s/step] Training: 92%|█████████▏| 64388/70000 [22:48:41<2:00:12, 1.29s/step] Training: 92%|█████████▏| 64389/70000 [22:48:42<2:02:28, 1.31s/step] Training: 92%|█████████▏| 64390/70000 [22:48:43<1:59:05, 1.27s/step] Training: 92%|█████████▏| 64391/70000 [22:48:45<1:56:39, 1.25s/step] Training: 92%|█████████▏| 64392/70000 [22:48:46<2:00:17, 1.29s/step] Training: 92%|█████████▏| 64393/70000 [22:48:47<1:57:32, 1.26s/step] Training: 92%|█████████▏| 64394/70000 [22:48:49<2:02:52, 1.32s/step] Training: 92%|█████████▏| 64395/70000 [22:48:50<1:59:17, 1.28s/step] Training: 92%|█████████▏| 64396/70000 [22:48:51<1:57:46, 1.26s/step] Training: 92%|█████████▏| 64397/70000 [22:48:52<1:57:14, 1.26s/step] Training: 92%|█████████▏| 64398/70000 [22:48:53<1:55:39, 1.24s/step] Training: 92%|█████████▏| 64399/70000 [22:48:55<1:54:15, 1.22s/step] Training: 92%|█████████▏| 64400/70000 [22:48:56<1:57:25, 1.26s/step]INFO 2026-03-13 18:58:48 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.59 loss:0.007 grdn:0.791 lr:1.4e-06 updt_s:1.237 data_s:0.019 Training: 92%|█████████▏| 64401/70000 [22:48:57<1:55:40, 1.24s/step] Training: 92%|█████████▏| 64402/70000 [22:48:58<1:58:33, 1.27s/step] Training: 92%|█████████▏| 64403/70000 [22:49:00<1:56:01, 1.24s/step] Training: 92%|█████████▏| 64404/70000 [22:49:01<1:54:59, 1.23s/step] Training: 92%|█████████▏| 64405/70000 [22:49:02<1:57:38, 1.26s/step] Training: 92%|█████████▏| 64406/70000 [22:49:03<1:55:40, 1.24s/step] Training: 92%|█████████▏| 64407/70000 [22:49:05<1:54:13, 1.23s/step] Training: 92%|█████████▏| 64408/70000 [22:49:06<1:58:22, 1.27s/step] Training: 92%|█████████▏| 64409/70000 [22:49:07<1:56:01, 1.25s/step] Training: 92%|█████████▏| 64410/70000 [22:49:09<1:59:09, 1.28s/step] Training: 92%|█████████▏| 64411/70000 [22:49:10<1:56:16, 1.25s/step] Training: 92%|█████████▏| 64412/70000 [22:49:11<1:58:33, 1.27s/step] Training: 92%|█████████▏| 64413/70000 [22:49:12<2:00:22, 1.29s/step] Training: 92%|█████████▏| 64414/70000 [22:49:14<1:57:32, 1.26s/step] Training: 92%|█████████▏| 64415/70000 [22:49:15<1:55:27, 1.24s/step] Training: 92%|█████████▏| 64416/70000 [22:49:16<1:57:47, 1.27s/step] Training: 92%|█████████▏| 64417/70000 [22:49:17<1:55:41, 1.24s/step] Training: 92%|█████████▏| 64418/70000 [22:49:19<1:58:09, 1.27s/step] Training: 92%|█████████▏| 64419/70000 [22:49:20<1:55:51, 1.25s/step] Training: 92%|█████████▏| 64420/70000 [22:49:21<1:58:03, 1.27s/step] Training: 92%|█████████▏| 64421/70000 [22:49:22<2:00:57, 1.30s/step] Training: 92%|█████████▏| 64422/70000 [22:49:24<1:57:48, 1.27s/step] Training: 92%|█████████▏| 64423/70000 [22:49:25<1:55:33, 1.24s/step] Training: 92%|█████████▏| 64424/70000 [22:49:26<1:59:23, 1.28s/step] Training: 92%|█████████▏| 64425/70000 [22:49:27<1:56:45, 1.26s/step] Training: 92%|█████████▏| 64426/70000 [22:49:29<1:58:33, 1.28s/step] Training: 92%|█████████▏| 64427/70000 [22:49:30<2:00:23, 1.30s/step] Training: 92%|█████████▏| 64428/70000 [22:49:31<1:58:16, 1.27s/step] Training: 92%|█████████▏| 64429/70000 [22:49:33<1:57:38, 1.27s/step] Training: 92%|█████████▏| 64430/70000 [22:49:34<1:55:28, 1.24s/step] Training: 92%|█████████▏| 64431/70000 [22:49:35<1:53:59, 1.23s/step] Training: 92%|█████████▏| 64432/70000 [22:49:36<1:57:17, 1.26s/step] Training: 92%|█████████▏| 64433/70000 [22:49:37<1:55:14, 1.24s/step] Training: 92%|█████████▏| 64434/70000 [22:49:39<1:55:10, 1.24s/step] Training: 92%|█████████▏| 64435/70000 [22:49:40<1:57:10, 1.26s/step] Training: 92%|█████████▏| 64436/70000 [22:49:41<1:56:57, 1.26s/step] Training: 92%|█████████▏| 64437/70000 [22:49:43<1:58:52, 1.28s/step] Training: 92%|█████████▏| 64438/70000 [22:49:44<1:56:17, 1.25s/step] Training: 92%|█████████▏| 64439/70000 [22:49:45<1:54:37, 1.24s/step] Training: 92%|█████████▏| 64440/70000 [22:49:46<1:58:25, 1.28s/step] Training: 92%|█████████▏| 64441/70000 [22:49:48<1:55:56, 1.25s/step] Training: 92%|█████████▏| 64442/70000 [22:49:49<1:58:06, 1.28s/step] Training: 92%|█████████▏| 64443/70000 [22:49:50<2:00:24, 1.30s/step] Training: 92%|█████████▏| 64444/70000 [22:49:51<1:57:04, 1.26s/step] Training: 92%|█████████▏| 64445/70000 [22:49:53<1:58:44, 1.28s/step] Training: 92%|█████████▏| 64446/70000 [22:49:54<1:56:09, 1.25s/step] Training: 92%|█████████▏| 64447/70000 [22:49:55<1:54:26, 1.24s/step] Training: 92%|█████████▏| 64448/70000 [22:49:56<1:56:56, 1.26s/step] Training: 92%|█████████▏| 64449/70000 [22:49:58<1:54:52, 1.24s/step] Training: 92%|█████████▏| 64450/70000 [22:49:59<1:57:17, 1.27s/step] Training: 92%|█████████▏| 64451/70000 [22:50:00<1:55:03, 1.24s/step] Training: 92%|█████████▏| 64452/70000 [22:50:02<2:00:35, 1.30s/step] Training: 92%|█████████▏| 64453/70000 [22:50:03<2:02:40, 1.33s/step] Training: 92%|█████████▏| 64454/70000 [22:50:04<1:58:45, 1.28s/step] Training: 92%|█████████▏| 64455/70000 [22:50:05<1:55:58, 1.25s/step] Training: 92%|█████████▏| 64456/70000 [22:50:07<1:59:16, 1.29s/step] Training: 92%|█████████▏| 64457/70000 [22:50:08<1:56:29, 1.26s/step] Training: 92%|█████████▏| 64458/70000 [22:50:09<1:58:36, 1.28s/step] Training: 92%|█████████▏| 64459/70000 [22:50:10<1:56:38, 1.26s/step] Training: 92%|█████████▏| 64460/70000 [22:50:12<1:58:51, 1.29s/step] Training: 92%|█████████▏| 64461/70000 [22:50:13<1:57:59, 1.28s/step] Training: 92%|█████████▏| 64462/70000 [22:50:14<1:55:36, 1.25s/step] Training: 92%|█████████▏| 64463/70000 [22:50:15<1:53:50, 1.23s/step] Training: 92%|█████████▏| 64464/70000 [22:50:17<1:56:42, 1.26s/step] Training: 92%|█████████▏| 64465/70000 [22:50:18<1:54:38, 1.24s/step] Training: 92%|█████████▏| 64466/70000 [22:50:19<1:54:18, 1.24s/step] Training: 92%|█████████▏| 64467/70000 [22:50:20<1:52:53, 1.22s/step] Training: 92%|█████████▏| 64468/70000 [22:50:22<1:52:58, 1.23s/step] Training: 92%|█████████▏| 64469/70000 [22:50:23<1:55:51, 1.26s/step] Training: 92%|█████████▏| 64470/70000 [22:50:24<1:54:00, 1.24s/step] Training: 92%|█████████▏| 64471/70000 [22:50:25<1:52:53, 1.23s/step] Training: 92%|█████████▏| 64472/70000 [22:50:27<1:53:23, 1.23s/step] Training: 92%|█████████▏| 64473/70000 [22:50:28<1:55:48, 1.26s/step] Training: 92%|█████████▏| 64474/70000 [22:50:29<1:57:36, 1.28s/step] Training: 92%|█████████▏| 64475/70000 [22:50:30<1:55:12, 1.25s/step] Training: 92%|█████████▏| 64476/70000 [22:50:32<1:54:25, 1.24s/step] Training: 92%|█████████▏| 64477/70000 [22:50:33<1:59:37, 1.30s/step] Training: 92%|█████████▏| 64478/70000 [22:50:34<1:56:37, 1.27s/step] Training: 92%|█████████▏| 64479/70000 [22:50:35<1:54:27, 1.24s/step] Training: 92%|█████████▏| 64480/70000 [22:50:37<1:56:45, 1.27s/step] Training: 92%|█████████▏| 64481/70000 [22:50:38<1:54:40, 1.25s/step] Training: 92%|█████████▏| 64482/70000 [22:50:39<1:56:51, 1.27s/step] Training: 92%|█████████▏| 64483/70000 [22:50:41<1:54:33, 1.25s/step] Training: 92%|█████████▏| 64484/70000 [22:50:42<1:55:03, 1.25s/step] Training: 92%|█████████▏| 64485/70000 [22:50:43<1:57:56, 1.28s/step] Training: 92%|█████████▏| 64486/70000 [22:50:44<1:55:19, 1.25s/step] Training: 92%|█████████▏| 64487/70000 [22:50:46<1:53:27, 1.23s/step] Training: 92%|█████████▏| 64488/70000 [22:50:47<1:56:59, 1.27s/step] Training: 92%|█████████▏| 64489/70000 [22:50:48<1:54:53, 1.25s/step] Training: 92%|█████████▏| 64490/70000 [22:50:49<1:57:24, 1.28s/step] Training: 92%|█████████▏| 64491/70000 [22:50:51<1:54:57, 1.25s/step] Training: 92%|█████████▏| 64492/70000 [22:50:52<1:55:27, 1.26s/step] Training: 92%|█████████▏| 64493/70000 [22:50:53<1:57:53, 1.28s/step] Training: 92%|█████████▏| 64494/70000 [22:50:54<1:54:58, 1.25s/step] Training: 92%|█████████▏| 64495/70000 [22:50:56<1:53:16, 1.23s/step] Training: 92%|█████████▏| 64496/70000 [22:50:57<1:55:40, 1.26s/step] Training: 92%|█████████▏| 64497/70000 [22:50:58<1:53:40, 1.24s/step] Training: 92%|█████████▏| 64498/70000 [22:50:59<1:54:10, 1.25s/step] Training: 92%|█████████▏| 64499/70000 [22:51:01<1:52:39, 1.23s/step] Training: 92%|█████████▏| 64500/70000 [22:51:02<1:52:29, 1.23s/step]INFO 2026-03-13 19:00:54 ot_train.py:435 step:64K smpl:4M ep:14K epch:54.67 loss:0.007 grdn:0.646 lr:1.4e-06 updt_s:1.237 data_s:0.019 Training: 92%|█████████▏| 64501/70000 [22:51:03<1:57:29, 1.28s/step] Training: 92%|█████████▏| 64502/70000 [22:51:04<1:55:04, 1.26s/step] Training: 92%|█████████▏| 64503/70000 [22:51:06<1:53:14, 1.24s/step] Training: 92%|█████████▏| 64504/70000 [22:51:07<1:53:16, 1.24s/step] Training: 92%|█████████▏| 64505/70000 [22:51:08<1:55:34, 1.26s/step] Training: 92%|█████████▏| 64506/70000 [22:51:09<1:57:26, 1.28s/step] Training: 92%|█████████▏| 64507/70000 [22:51:11<1:54:47, 1.25s/step] Training: 92%|█████████▏| 64508/70000 [22:51:12<1:57:02, 1.28s/step] Training: 92%|█████████▏| 64509/70000 [22:51:13<1:54:37, 1.25s/step] Training: 92%|█████████▏| 64510/70000 [22:51:15<1:57:14, 1.28s/step] Training: 92%|█████████▏| 64511/70000 [22:51:16<1:54:34, 1.25s/step] Training: 92%|█████████▏| 64512/70000 [22:51:17<1:53:20, 1.24s/step] Training: 92%|█████████▏| 64513/70000 [22:51:18<1:52:05, 1.23s/step] Training: 92%|█████████▏| 64514/70000 [22:51:19<1:54:53, 1.26s/step] Training: 92%|█████████▏| 64515/70000 [22:51:21<1:53:05, 1.24s/step] Training: 92%|█████████▏| 64516/70000 [22:51:22<1:55:21, 1.26s/step] Training: 92%|█████████▏| 64517/70000 [22:51:23<1:57:57, 1.29s/step] Training: 92%|█████████▏| 64518/70000 [22:51:25<1:58:10, 1.29s/step] Training: 92%|█████████▏| 64519/70000 [22:51:26<1:55:25, 1.26s/step] Training: 92%|█████████▏| 64520/70000 [22:51:27<1:58:20, 1.30s/step] Training: 92%|█████████▏| 64521/70000 [22:51:28<1:55:29, 1.26s/step] Training: 92%|█████████▏| 64522/70000 [22:51:30<1:57:16, 1.28s/step] Training: 92%|█████████▏| 64523/70000 [22:51:31<1:54:36, 1.26s/step] Training: 92%|█████████▏| 64524/70000 [22:51:32<1:53:46, 1.25s/step] Training: 92%|█████████▏| 64525/70000 [22:51:33<1:52:11, 1.23s/step] Training: 92%|█████████▏| 64526/70000 [22:51:35<1:55:25, 1.27s/step] Training: 92%|█████████▏| 64527/70000 [22:51:36<1:53:11, 1.24s/step] Training: 92%|█████████▏| 64528/70000 [22:51:37<1:55:50, 1.27s/step] Training: 92%|█████████▏| 64529/70000 [22:51:38<1:53:46, 1.25s/step] Training: 92%|█████████▏| 64530/70000 [22:51:40<1:53:39, 1.25s/step] Training: 92%|█████████▏| 64531/70000 [22:51:41<1:52:04, 1.23s/step] Training: 92%|█████████▏| 64532/70000 [22:51:42<1:51:16, 1.22s/step] Training: 92%|█████████▏| 64533/70000 [22:51:43<1:50:28, 1.21s/step] Training: 92%|█████████▏| 64534/70000 [22:51:45<1:56:05, 1.27s/step] Training: 92%|█████████▏| 64535/70000 [22:51:46<1:53:45, 1.25s/step] Training: 92%|█████████▏| 64536/70000 [22:51:47<1:56:49, 1.28s/step] Training: 92%|█████████▏| 64537/70000 [22:51:48<1:54:15, 1.25s/step] Training: 92%|█████████▏| 64538/70000 [22:51:50<1:56:09, 1.28s/step] Training: 92%|█████████▏| 64539/70000 [22:51:51<1:53:44, 1.25s/step] Training: 92%|█████████▏| 64540/70000 [22:51:52<1:56:02, 1.28s/step] Training: 92%|█████████▏| 64541/70000 [22:51:53<1:53:41, 1.25s/step] Training: 92%|█████████▏| 64542/70000 [22:51:55<1:55:55, 1.27s/step] Training: 92%|█████████▏| 64543/70000 [22:51:56<1:53:37, 1.25s/step] Training: 92%|█████████▏| 64544/70000 [22:51:57<1:55:22, 1.27s/step] Training: 92%|█████████▏| 64545/70000 [22:51:58<1:53:06, 1.24s/step] Training: 92%|█████████▏| 64546/70000 [22:52:00<1:55:25, 1.27s/step] Training: 92%|█████████▏| 64547/70000 [22:52:01<1:53:17, 1.25s/step] Training: 92%|█████████▏| 64548/70000 [22:52:02<1:55:44, 1.27s/step] Training: 92%|█████████▏| 64549/70000 [22:52:03<1:53:25, 1.25s/step] Training: 92%|█████████▏| 64550/70000 [22:52:05<1:56:44, 1.29s/step] Training: 92%|█████████▏| 64551/70000 [22:52:06<1:54:02, 1.26s/step] Training: 92%|█████████▏| 64552/70000 [22:52:07<1:57:07, 1.29s/step] Training: 92%|█████████▏| 64553/70000 [22:52:09<1:54:20, 1.26s/step] Training: 92%|█████████▏| 64554/70000 [22:52:10<1:56:15, 1.28s/step] Training: 92%|█████████▏| 64555/70000 [22:52:11<1:53:43, 1.25s/step] Training: 92%|█████████▏| 64556/70000 [22:52:12<1:53:11, 1.25s/step] Training: 92%|█████████▏| 64557/70000 [22:52:14<1:51:35, 1.23s/step] Training: 92%|█████████▏| 64558/70000 [22:52:15<1:54:10, 1.26s/step] Training: 92%|█████████▏| 64559/70000 [22:52:16<1:52:24, 1.24s/step] Training: 92%|█████████▏| 64560/70000 [22:52:17<1:54:57, 1.27s/step] Training: 92%|█████████▏| 64561/70000 [22:52:19<1:52:49, 1.24s/step] Training: 92%|█████████▏| 64562/70000 [22:52:20<1:52:36, 1.24s/step] Training: 92%|█████████▏| 64563/70000 [22:52:21<1:51:09, 1.23s/step] Training: 92%|█████████▏| 64564/70000 [22:52:22<1:50:38, 1.22s/step] Training: 92%|█████████▏| 64565/70000 [22:52:23<1:49:48, 1.21s/step] Training: 92%|█████████▏| 64566/70000 [22:52:25<1:52:58, 1.25s/step] Training: 92%|█████████▏| 64567/70000 [22:52:26<1:55:39, 1.28s/step] Training: 92%|█████████▏| 64568/70000 [22:52:27<1:57:13, 1.29s/step] Training: 92%|█████████▏| 64569/70000 [22:52:29<1:54:14, 1.26s/step] Training: 92%|█████████▏| 64570/70000 [22:52:30<1:56:06, 1.28s/step] Training: 92%|█████████▏| 64571/70000 [22:52:31<1:53:39, 1.26s/step] Training: 92%|█████████▏| 64572/70000 [22:52:32<1:55:41, 1.28s/step] Training: 92%|█████████▏| 64573/70000 [22:52:34<1:53:15, 1.25s/step] Training: 92%|█████████▏| 64574/70000 [22:52:35<1:55:14, 1.27s/step] Training: 92%|█████████▏| 64575/70000 [22:52:36<1:55:36, 1.28s/step] Training: 92%|█████████▏| 64576/70000 [22:52:38<1:56:32, 1.29s/step] Training: 92%|█████████▏| 64577/70000 [22:52:39<1:53:45, 1.26s/step] Training: 92%|█████████▏| 64578/70000 [22:52:40<1:55:28, 1.28s/step] Training: 92%|█████████▏| 64579/70000 [22:52:41<1:53:01, 1.25s/step] Training: 92%|█████████▏| 64580/70000 [22:52:43<1:55:19, 1.28s/step] Training: 92%|█████████▏| 64581/70000 [22:52:44<1:53:02, 1.25s/step] Training: 92%|█████████▏| 64582/70000 [22:52:45<1:52:37, 1.25s/step] Training: 92%|█████████▏| 64583/70000 [22:52:46<1:55:18, 1.28s/step] Training: 92%|█████████▏| 64584/70000 [22:52:48<1:52:34, 1.25s/step] Training: 92%|█████████▏| 64585/70000 [22:52:49<1:54:37, 1.27s/step] Training: 92%|█████████▏| 64586/70000 [22:52:50<1:56:29, 1.29s/step] Training: 92%|█████████▏| 64587/70000 [22:52:51<1:53:43, 1.26s/step] Training: 92%|█████████▏| 64588/70000 [22:52:53<1:52:51, 1.25s/step] Training: 92%|█████████▏| 64589/70000 [22:52:54<1:51:18, 1.23s/step] Training: 92%|█████████▏| 64590/70000 [22:52:55<1:53:37, 1.26s/step] Training: 92%|█████████▏| 64591/70000 [22:52:57<1:56:16, 1.29s/step] Training: 92%|█████████▏| 64592/70000 [22:52:58<1:53:54, 1.26s/step] Training: 92%|█████████▏| 64593/70000 [22:52:59<1:51:55, 1.24s/step] Training: 92%|█████████▏| 64594/70000 [22:53:00<1:57:21, 1.30s/step] Training: 92%|█████████▏| 64595/70000 [22:53:02<1:54:23, 1.27s/step] Training: 92%|█████████▏| 64596/70000 [22:53:03<1:53:19, 1.26s/step] Training: 92%|█████████▏| 64597/70000 [22:53:04<1:51:36, 1.24s/step] Training: 92%|█████████▏| 64598/70000 [22:53:05<1:53:59, 1.27s/step] Training: 92%|█████████▏| 64599/70000 [22:53:07<1:51:57, 1.24s/step] Training: 92%|█████████▏| 64600/70000 [22:53:08<1:56:59, 1.30s/step]INFO 2026-03-13 19:03:00 ot_train.py:435 step:65K smpl:4M ep:14K epch:54.76 loss:0.008 grdn:0.693 lr:1.4e-06 updt_s:1.240 data_s:0.019 Training: 92%|█████████▏| 64601/70000 [22:53:09<1:54:02, 1.27s/step] Training: 92%|█████████▏| 64602/70000 [22:53:10<1:55:55, 1.29s/step] Training: 92%|█████████▏| 64603/70000 [22:53:12<1:53:20, 1.26s/step] Training: 92%|█████████▏| 64604/70000 [22:53:13<1:51:30, 1.24s/step] Training: 92%|█████████▏| 64605/70000 [22:53:14<1:53:22, 1.26s/step] Training: 92%|█████████▏| 64606/70000 [22:53:16<1:56:22, 1.29s/step] Training: 92%|█████████▏| 64607/70000 [22:53:17<1:53:31, 1.26s/step] Training: 92%|█████████▏| 64608/70000 [22:53:18<1:58:18, 1.32s/step] Training: 92%|█████████▏| 64609/70000 [22:53:19<1:54:49, 1.28s/step] Training: 92%|█████████▏| 64610/70000 [22:53:21<1:56:10, 1.29s/step] Training: 92%|█████████▏| 64611/70000 [22:53:22<1:53:27, 1.26s/step] Training: 92%|█████████▏| 64612/70000 [22:53:23<1:51:28, 1.24s/step] Training: 92%|█████████▏| 64613/70000 [22:53:24<1:50:00, 1.23s/step] Training: 92%|█████████▏| 64614/70000 [22:53:25<1:50:23, 1.23s/step] Training: 92%|█████████▏| 64615/70000 [22:53:27<1:49:23, 1.22s/step] Training: 92%|█████████▏| 64616/70000 [22:53:28<1:52:33, 1.25s/step] Training: 92%|█████████▏| 64617/70000 [22:53:29<1:53:21, 1.26s/step] Training: 92%|█████████▏| 64618/70000 [22:53:31<1:55:15, 1.28s/step] Training: 92%|█████████▏| 64619/70000 [22:53:32<1:52:39, 1.26s/step] Training: 92%|█████████▏| 64620/70000 [22:53:33<1:51:54, 1.25s/step] Training: 92%|█████████▏| 64621/70000 [22:53:34<1:50:21, 1.23s/step] Training: 92%|█████████▏| 64622/70000 [22:53:36<1:52:54, 1.26s/step] Training: 92%|█████████▏| 64623/70000 [22:53:37<1:51:05, 1.24s/step] Training: 92%|█████████▏| 64624/70000 [22:53:38<1:53:57, 1.27s/step] Training: 92%|█████████▏| 64625/70000 [22:53:39<1:51:26, 1.24s/step] Training: 92%|█████████▏| 64626/70000 [22:53:41<1:52:03, 1.25s/step] Training: 92%|█████████▏| 64627/70000 [22:53:42<1:50:24, 1.23s/step] Training: 92%|█████████▏| 64628/70000 [22:53:43<1:49:57, 1.23s/step] Training: 92%|█████████▏| 64629/70000 [22:53:44<1:48:54, 1.22s/step] Training: 92%|█████████▏| 64630/70000 [22:53:45<1:52:00, 1.25s/step] Training: 92%|█████████▏| 64631/70000 [22:53:47<1:53:40, 1.27s/step] Training: 92%|█████████▏| 64632/70000 [22:53:48<1:55:42, 1.29s/step] Training: 92%|█████████▏| 64633/70000 [22:53:49<1:52:53, 1.26s/step] Training: 92%|█████████▏| 64634/70000 [22:53:51<1:54:54, 1.28s/step] Training: 92%|█████████▏| 64635/70000 [22:53:52<1:52:16, 1.26s/step] Training: 92%|█████████▏| 64636/70000 [22:53:53<1:54:07, 1.28s/step] Training: 92%|█████████▏| 64637/70000 [22:53:54<1:51:50, 1.25s/step] Training: 92%|█████████▏| 64638/70000 [22:53:56<1:51:22, 1.25s/step] Training: 92%|█████████▏| 64639/70000 [22:53:57<1:51:38, 1.25s/step] Training: 92%|█████████▏| 64640/70000 [22:53:58<1:54:01, 1.28s/step] Training: 92%|█████████▏| 64641/70000 [22:54:00<1:55:58, 1.30s/step] Training: 92%|█████████▏| 64642/70000 [22:54:01<1:56:30, 1.30s/step] Training: 92%|█████████▏| 64643/70000 [22:54:02<1:53:25, 1.27s/step] Training: 92%|█████████▏| 64644/70000 [22:54:03<1:51:16, 1.25s/step] Training: 92%|█████████▏| 64645/70000 [22:54:05<1:53:29, 1.27s/step] Training: 92%|█████████▏| 64646/70000 [22:54:06<1:52:12, 1.26s/step] Training: 92%|█████████▏| 64647/70000 [22:54:07<1:51:19, 1.25s/step] Training: 92%|█████████▏| 64648/70000 [22:54:08<1:51:40, 1.25s/step] Training: 92%|█████████▏| 64649/70000 [22:54:10<1:53:16, 1.27s/step] Training: 92%|█████████▏| 64650/70000 [22:54:11<1:54:40, 1.29s/step] Training: 92%|█████████▏| 64651/70000 [22:54:12<1:52:07, 1.26s/step] Training: 92%|█████████▏| 64652/70000 [22:54:13<1:50:19, 1.24s/step] Training: 92%|█████████▏| 64653/70000 [22:54:15<1:52:07, 1.26s/step] Training: 92%|█████████▏| 64654/70000 [22:54:16<1:53:53, 1.28s/step] Training: 92%|█████████▏| 64655/70000 [22:54:17<1:55:24, 1.30s/step] Training: 92%|█████████▏| 64656/70000 [22:54:19<1:56:32, 1.31s/step] Training: 92%|█████████▏| 64657/70000 [22:54:20<1:57:48, 1.32s/step] Training: 92%|█████████▏| 64658/70000 [22:54:21<1:57:41, 1.32s/step] Training: 92%|█████████▏| 64659/70000 [22:54:23<1:54:06, 1.28s/step] Training: 92%|█████████▏| 64660/70000 [22:54:24<1:51:36, 1.25s/step] Training: 92%|█████████▏| 64661/70000 [22:54:25<1:49:52, 1.23s/step] Training: 92%|█████████▏| 64662/70000 [22:54:26<1:52:12, 1.26s/step] Training: 92%|█████████▏| 64663/70000 [22:54:28<1:53:50, 1.28s/step] Training: 92%|█████████▏| 64664/70000 [22:54:29<1:54:53, 1.29s/step] Training: 92%|█████████▏| 64665/70000 [22:54:30<1:55:59, 1.30s/step] Training: 92%|█████████▏| 64666/70000 [22:54:32<1:59:03, 1.34s/step] Training: 92%|█████████▏| 64667/70000 [22:54:33<1:55:08, 1.30s/step] Training: 92%|█████████▏| 64668/70000 [22:54:34<1:52:29, 1.27s/step] Training: 92%|█████████▏| 64669/70000 [22:54:35<1:53:09, 1.27s/step] Training: 92%|█████████▏| 64670/70000 [22:54:37<1:57:40, 1.32s/step] Training: 92%|█████████▏| 64671/70000 [22:54:38<1:58:00, 1.33s/step] Training: 92%|█████████▏| 64672/70000 [22:54:39<1:57:54, 1.33s/step] Training: 92%|█████████▏| 64673/70000 [22:54:41<1:57:26, 1.32s/step] Training: 92%|█████████▏| 64674/70000 [22:54:42<2:00:20, 1.36s/step] Training: 92%|█████████▏| 64675/70000 [22:54:43<1:55:50, 1.31s/step] Training: 92%|█████████▏| 64676/70000 [22:54:45<1:52:54, 1.27s/step] Training: 92%|█████████▏| 64677/70000 [22:54:46<1:54:30, 1.29s/step] Training: 92%|█████████▏| 64678/70000 [22:54:47<1:52:30, 1.27s/step] Training: 92%|█████████▏| 64679/70000 [22:54:48<1:51:15, 1.25s/step] Training: 92%|█████████▏| 64680/70000 [22:54:50<1:53:00, 1.27s/step] Training: 92%|█████████▏| 64681/70000 [22:54:51<1:50:46, 1.25s/step] Training: 92%|█████████▏| 64682/70000 [22:54:52<1:52:54, 1.27s/step] Training: 92%|█████████▏| 64683/70000 [22:54:53<1:50:50, 1.25s/step] Training: 92%|█████████▏| 64684/70000 [22:54:55<1:49:07, 1.23s/step] Training: 92%|█████████▏| 64685/70000 [22:54:56<1:48:45, 1.23s/step] Training: 92%|█████████▏| 64686/70000 [22:54:57<1:51:15, 1.26s/step] Training: 92%|█████████▏| 64687/70000 [22:54:58<1:53:11, 1.28s/step] Training: 92%|█████████▏| 64688/70000 [22:55:00<1:51:16, 1.26s/step] Training: 92%|█████████▏| 64689/70000 [22:55:01<1:52:33, 1.27s/step] Training: 92%|█████████▏| 64690/70000 [22:55:02<1:55:15, 1.30s/step] Training: 92%|█████████▏| 64691/70000 [22:55:03<1:52:10, 1.27s/step] Training: 92%|█████████▏| 64692/70000 [22:55:05<1:50:03, 1.24s/step] Training: 92%|█████████▏| 64693/70000 [22:55:06<1:52:33, 1.27s/step] Training: 92%|█████████▏| 64694/70000 [22:55:07<1:54:05, 1.29s/step] Training: 92%|█████████▏| 64695/70000 [22:55:09<1:55:15, 1.30s/step] Training: 92%|█████████▏| 64696/70000 [22:55:10<1:56:11, 1.31s/step] Training: 92%|█████████▏| 64697/70000 [22:55:11<1:56:38, 1.32s/step] Training: 92%|█████████▏| 64698/70000 [22:55:13<1:57:12, 1.33s/step] Training: 92%|█████████▏| 64699/70000 [22:55:14<1:53:35, 1.29s/step] Training: 92%|█████████▏| 64700/70000 [22:55:15<1:51:06, 1.26s/step]INFO 2026-03-13 19:05:07 ot_train.py:435 step:65K smpl:4M ep:14K epch:54.84 loss:0.007 grdn:0.637 lr:1.3e-06 updt_s:1.250 data_s:0.019 Training: 92%|█████████▏| 64701/70000 [22:55:16<1:52:59, 1.28s/step] Training: 92%|█████████▏| 64702/70000 [22:55:18<1:51:54, 1.27s/step] Training: 92%|█████████▏| 64703/70000 [22:55:19<1:53:29, 1.29s/step] Training: 92%|█████████▏| 64704/70000 [22:55:20<1:54:44, 1.30s/step] Training: 92%|█████████▏| 64705/70000 [22:55:21<1:52:16, 1.27s/step] Training: 92%|█████████▏| 64706/70000 [22:55:23<1:54:05, 1.29s/step] Training: 92%|█████████▏| 64707/70000 [22:55:24<1:55:41, 1.31s/step] Training: 92%|█████████▏| 64708/70000 [22:55:25<1:52:11, 1.27s/step] Training: 92%|█████████▏| 64709/70000 [22:55:27<1:51:14, 1.26s/step] Training: 92%|█████████▏| 64710/70000 [22:55:28<1:49:56, 1.25s/step] Training: 92%|█████████▏| 64711/70000 [22:55:29<1:48:57, 1.24s/step] Training: 92%|█████████▏| 64712/70000 [22:55:30<1:51:15, 1.26s/step] Training: 92%|█████████▏| 64713/70000 [22:55:32<1:53:17, 1.29s/step] Training: 92%|█████████▏| 64714/70000 [22:55:33<1:54:29, 1.30s/step] Training: 92%|█████████▏| 64715/70000 [22:55:34<1:53:22, 1.29s/step] Training: 92%|█████████▏| 64716/70000 [22:55:35<1:50:44, 1.26s/step] Training: 92%|█████████▏| 64717/70000 [22:55:37<1:49:35, 1.24s/step] Training: 92%|█████████▏| 64718/70000 [22:55:38<1:51:53, 1.27s/step] Training: 92%|█████████▏| 64719/70000 [22:55:39<1:53:18, 1.29s/step] Training: 92%|█████████▏| 64720/70000 [22:55:41<1:51:02, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=2647 Training: 92%|█████████▏| 64721/70000 [22:55:42<1:53:32, 1.29s/step] Training: 92%|█████████▏| 64722/70000 [22:55:43<1:51:54, 1.27s/step] Training: 92%|█████████▏| 64723/70000 [22:55:44<1:52:48, 1.28s/step] Training: 92%|█████████▏| 64724/70000 [22:55:46<1:54:15, 1.30s/step] Training: 92%|█████████▏| 64725/70000 [22:55:47<1:54:47, 1.31s/step] Training: 92%|█████████▏| 64726/70000 [22:55:48<1:55:22, 1.31s/step] Training: 92%|█████████▏| 64727/70000 [22:55:50<1:55:35, 1.32s/step] Training: 92%|█████████▏| 64728/70000 [22:55:51<1:55:47, 1.32s/step] Training: 92%|█████████▏| 64729/70000 [22:55:52<1:53:40, 1.29s/step] Training: 92%|█████████▏| 64730/70000 [22:55:54<1:54:38, 1.31s/step] Training: 92%|█████████▏| 64731/70000 [22:55:55<1:56:15, 1.32s/step] Training: 92%|█████████▏| 64732/70000 [22:55:56<1:52:27, 1.28s/step] Training: 92%|█████████▏| 64733/70000 [22:55:58<1:53:57, 1.30s/step] Training: 92%|█████████▏| 64734/70000 [22:55:59<1:52:07, 1.28s/step] Training: 92%|█████████▏| 64735/70000 [22:56:00<1:53:25, 1.29s/step] Training: 92%|█████████▏| 64736/70000 [22:56:01<1:54:14, 1.30s/step] Training: 92%|█████████▏| 64737/70000 [22:56:03<1:51:57, 1.28s/step] Training: 92%|█████████▏| 64738/70000 [22:56:04<1:53:38, 1.30s/step] Training: 92%|█████████▏| 64739/70000 [22:56:05<1:50:53, 1.26s/step] Training: 92%|█████████▏| 64740/70000 [22:56:06<1:52:49, 1.29s/step] Training: 92%|█████████▏| 64741/70000 [22:56:08<1:51:09, 1.27s/step] Training: 92%|█████████▏| 64742/70000 [22:56:09<1:49:44, 1.25s/step] Training: 92%|█████████▏| 64743/70000 [22:56:10<1:48:33, 1.24s/step] Training: 92%|█████████▏| 64744/70000 [22:56:11<1:50:58, 1.27s/step] Training: 92%|█████████▏| 64745/70000 [22:56:13<1:52:43, 1.29s/step] Training: 92%|█████████▏| 64746/70000 [22:56:14<1:53:51, 1.30s/step] Training: 92%|█████████▏| 64747/70000 [22:56:15<1:50:59, 1.27s/step] Training: 92%|█████████▏| 64748/70000 [22:56:17<1:53:00, 1.29s/step] Training: 92%|█████████▏| 64749/70000 [22:56:18<1:50:45, 1.27s/step] Training: 92%|█████████▎| 64750/70000 [22:56:19<1:52:34, 1.29s/step] Training: 93%|█████████▎| 64751/70000 [22:56:21<1:53:52, 1.30s/step] Training: 93%|█████████▎| 64752/70000 [22:56:22<1:51:55, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=26343 Training: 93%|█████████▎| 64753/70000 [22:56:23<1:53:21, 1.30s/step] Training: 93%|█████████▎| 64754/70000 [22:56:24<1:51:39, 1.28s/step] Training: 93%|█████████▎| 64755/70000 [22:56:26<1:52:36, 1.29s/step] Training: 93%|█████████▎| 64756/70000 [22:56:27<1:50:12, 1.26s/step] Training: 93%|█████████▎| 64757/70000 [22:56:28<1:48:26, 1.24s/step] Training: 93%|█████████▎| 64758/70000 [22:56:29<1:53:10, 1.30s/step] Training: 93%|█████████▎| 64759/70000 [22:56:31<1:54:07, 1.31s/step] Training: 93%|█████████▎| 64760/70000 [22:56:32<1:54:28, 1.31s/step] Training: 93%|█████████▎| 64761/70000 [22:56:33<1:52:33, 1.29s/step] Training: 93%|█████████▎| 64762/70000 [22:56:35<1:53:27, 1.30s/step] Training: 93%|█████████▎| 64763/70000 [22:56:36<1:50:31, 1.27s/step] Training: 93%|█████████▎| 64764/70000 [22:56:37<1:50:05, 1.26s/step] Training: 93%|█████████▎| 64765/70000 [22:56:38<1:51:48, 1.28s/step] Training: 93%|█████████▎| 64766/70000 [22:56:40<1:50:27, 1.27s/step] Training: 93%|█████████▎| 64767/70000 [22:56:41<1:52:07, 1.29s/step] Training: 93%|█████████▎| 64768/70000 [22:56:42<1:53:22, 1.30s/step] Training: 93%|█████████▎| 64769/70000 [22:56:44<1:51:05, 1.27s/step] Training: 93%|█████████▎| 64770/70000 [22:56:45<1:53:00, 1.30s/step] Training: 93%|█████████▎| 64771/70000 [22:56:46<1:50:06, 1.26s/step] Training: 93%|█████████▎| 64772/70000 [22:56:47<1:49:41, 1.26s/step] Training: 93%|█████████▎| 64773/70000 [22:56:49<1:47:56, 1.24s/step] Training: 93%|█████████▎| 64774/70000 [22:56:50<1:47:35, 1.24s/step] Training: 93%|█████████▎| 64775/70000 [22:56:51<1:47:14, 1.23s/step] Training: 93%|█████████▎| 64776/70000 [22:56:52<1:50:28, 1.27s/step] Training: 93%|█████████▎| 64777/70000 [22:56:54<1:52:09, 1.29s/step] Training: 93%|█████████▎| 64778/70000 [22:56:55<1:53:13, 1.30s/step] Training: 93%|█████████▎| 64779/70000 [22:56:56<1:50:16, 1.27s/step] Training: 93%|█████████▎| 64780/70000 [22:56:57<1:48:13, 1.24s/step] Training: 93%|█████████▎| 64781/70000 [22:56:59<1:51:05, 1.28s/step] Training: 93%|█████████▎| 64782/70000 [22:57:00<1:48:32, 1.25s/step] Training: 93%|█████████▎| 64783/70000 [22:57:01<1:53:03, 1.30s/step] Training: 93%|█████████▎| 64784/70000 [22:57:03<1:52:49, 1.30s/step] Training: 93%|█████████▎| 64785/70000 [22:57:04<1:53:34, 1.31s/step] Training: 93%|█████████▎| 64786/70000 [22:57:05<1:51:43, 1.29s/step] Training: 93%|█████████▎| 64787/70000 [22:57:07<1:52:15, 1.29s/step] Training: 93%|█████████▎| 64788/70000 [22:57:08<1:49:42, 1.26s/step] Training: 93%|█████████▎| 64789/70000 [22:57:09<1:50:49, 1.28s/step] Training: 93%|█████████▎| 64790/70000 [22:57:10<1:55:04, 1.33s/step] Training: 93%|█████████▎| 64791/70000 [22:57:12<1:55:27, 1.33s/step] Training: 93%|█████████▎| 64792/70000 [22:57:13<1:51:53, 1.29s/step] Training: 93%|█████████▎| 64793/70000 [22:57:14<1:50:21, 1.27s/step] Training: 93%|█████████▎| 64794/70000 [22:57:16<1:51:54, 1.29s/step] Training: 93%|█████████▎| 64795/70000 [22:57:17<1:49:15, 1.26s/step] Training: 93%|█████████▎| 64796/70000 [22:57:18<1:47:29, 1.24s/step] Training: 93%|█████████▎| 64797/70000 [22:57:19<1:50:42, 1.28s/step] Training: 93%|█████████▎| 64798/70000 [22:57:20<1:48:08, 1.25s/step] Training: 93%|█████████▎| 64799/70000 [22:57:22<1:50:36, 1.28s/step] Training: 93%|█████████▎| 64800/70000 [22:57:23<1:48:18, 1.25s/step]INFO 2026-03-13 19:07:15 ot_train.py:435 step:65K smpl:4M ep:14K epch:54.92 loss:0.007 grdn:0.606 lr:1.3e-06 updt_s:1.259 data_s:0.018 Training: 93%|█████████▎| 64801/70000 [22:57:24<1:47:22, 1.24s/step] Training: 93%|█████████▎| 64802/70000 [22:57:26<1:49:42, 1.27s/step] Training: 93%|█████████▎| 64803/70000 [22:57:27<1:47:41, 1.24s/step] Training: 93%|█████████▎| 64804/70000 [22:57:28<1:46:25, 1.23s/step] Training: 93%|█████████▎| 64805/70000 [22:57:29<1:50:27, 1.28s/step] Training: 93%|█████████▎| 64806/70000 [22:57:31<1:49:27, 1.26s/step] Training: 93%|█████████▎| 64807/70000 [22:57:32<1:48:03, 1.25s/step] Training: 93%|█████████▎| 64808/70000 [22:57:33<1:47:42, 1.24s/step] Training: 93%|█████████▎| 64809/70000 [22:57:34<1:50:06, 1.27s/step] Training: 93%|█████████▎| 64810/70000 [22:57:36<1:51:40, 1.29s/step] Training: 93%|█████████▎| 64811/70000 [22:57:37<1:52:10, 1.30s/step] Training: 93%|█████████▎| 64812/70000 [22:57:38<1:49:30, 1.27s/step] Training: 93%|█████████▎| 64813/70000 [22:57:39<1:48:40, 1.26s/step] Training: 93%|█████████▎| 64814/70000 [22:57:41<1:50:49, 1.28s/step] Training: 93%|█████████▎| 64815/70000 [22:57:42<1:54:33, 1.33s/step] Training: 93%|█████████▎| 64816/70000 [22:57:43<1:51:38, 1.29s/step] Training: 93%|█████████▎| 64817/70000 [22:57:45<1:52:44, 1.31s/step] Training: 93%|█████████▎| 64818/70000 [22:57:46<1:51:09, 1.29s/step] Training: 93%|█████████▎| 64819/70000 [22:57:47<1:48:41, 1.26s/step] Training: 93%|█████████▎| 64820/70000 [22:57:48<1:46:53, 1.24s/step] Training: 93%|█████████▎| 64821/70000 [22:57:50<1:45:42, 1.22s/step] Training: 93%|█████████▎| 64822/70000 [22:57:51<1:51:12, 1.29s/step] Training: 93%|█████████▎| 64823/70000 [22:57:52<1:52:10, 1.30s/step] Training: 93%|█████████▎| 64824/70000 [22:57:54<1:52:58, 1.31s/step] Training: 93%|█████████▎| 64825/70000 [22:57:55<1:51:03, 1.29s/step] Training: 93%|█████████▎| 64826/70000 [22:57:56<1:51:51, 1.30s/step] Training: 93%|█████████▎| 64827/70000 [22:57:57<1:49:04, 1.27s/step] Training: 93%|█████████▎| 64828/70000 [22:57:59<1:47:06, 1.24s/step] Training: 93%|█████████▎| 64829/70000 [22:58:00<1:49:30, 1.27s/step] Training: 93%|█████████▎| 64830/70000 [22:58:01<1:48:25, 1.26s/step] Training: 93%|█████████▎| 64831/70000 [22:58:03<1:50:46, 1.29s/step] Training: 93%|█████████▎| 64832/70000 [22:58:04<1:51:57, 1.30s/step] Training: 93%|█████████▎| 64833/70000 [22:58:05<1:49:42, 1.27s/step] Training: 93%|█████████▎| 64834/70000 [22:58:06<1:51:06, 1.29s/step] Training: 93%|█████████▎| 64835/70000 [22:58:08<1:48:31, 1.26s/step] Training: 93%|█████████▎| 64836/70000 [22:58:09<1:46:44, 1.24s/step] Training: 93%|█████████▎| 64837/70000 [22:58:10<1:49:02, 1.27s/step] Training: 93%|█████████▎| 64838/70000 [22:58:11<1:48:47, 1.26s/step] Training: 93%|█████████▎| 64839/70000 [22:58:13<1:46:58, 1.24s/step] Training: 93%|█████████▎| 64840/70000 [22:58:14<1:46:53, 1.24s/step] Training: 93%|█████████▎| 64841/70000 [22:58:15<1:49:17, 1.27s/step] Training: 93%|█████████▎| 64842/70000 [22:58:16<1:50:45, 1.29s/step] Training: 93%|█████████▎| 64843/70000 [22:58:18<1:48:07, 1.26s/step] Training: 93%|█████████▎| 64844/70000 [22:58:19<1:46:16, 1.24s/step] Training: 93%|█████████▎| 64845/70000 [22:58:20<1:48:35, 1.26s/step] Training: 93%|█████████▎| 64846/70000 [22:58:21<1:46:37, 1.24s/step] Training: 93%|█████████▎| 64847/70000 [22:58:23<1:51:42, 1.30s/step] Training: 93%|█████████▎| 64848/70000 [22:58:24<1:49:28, 1.27s/step] Training: 93%|█████████▎| 64849/70000 [22:58:25<1:51:02, 1.29s/step] Training: 93%|█████████▎| 64850/70000 [22:58:27<1:49:50, 1.28s/step] Training: 93%|█████████▎| 64851/70000 [22:58:28<1:47:29, 1.25s/step] Training: 93%|█████████▎| 64852/70000 [22:58:29<1:45:49, 1.23s/step] Training: 93%|█████████▎| 64853/70000 [22:58:30<1:45:28, 1.23s/step] Training: 93%|█████████▎| 64854/70000 [22:58:32<1:47:58, 1.26s/step] Training: 93%|█████████▎| 64855/70000 [22:58:33<1:51:53, 1.30s/step] Training: 93%|█████████▎| 64856/70000 [22:58:34<1:52:54, 1.32s/step] Training: 93%|█████████▎| 64857/70000 [22:58:36<1:50:59, 1.29s/step] Training: 93%|█████████▎| 64858/70000 [22:58:37<1:51:45, 1.30s/step] Training: 93%|█████████▎| 64859/70000 [22:58:38<1:48:48, 1.27s/step] Training: 93%|█████████▎| 64860/70000 [22:58:39<1:46:39, 1.25s/step] Training: 93%|█████████▎| 64861/70000 [22:58:41<1:48:44, 1.27s/step] Training: 93%|█████████▎| 64862/70000 [22:58:42<1:47:07, 1.25s/step] Training: 93%|█████████▎| 64863/70000 [22:58:43<1:49:16, 1.28s/step] Training: 93%|█████████▎| 64864/70000 [22:58:45<1:52:51, 1.32s/step] Training: 93%|█████████▎| 64865/70000 [22:58:46<1:50:32, 1.29s/step] Training: 93%|█████████▎| 64866/70000 [22:58:47<1:51:20, 1.30s/step] Training: 93%|█████████▎| 64867/70000 [22:58:48<1:48:29, 1.27s/step] Training: 93%|█████████▎| 64868/70000 [22:58:49<1:46:26, 1.24s/step] Training: 93%|█████████▎| 64869/70000 [22:58:51<1:48:35, 1.27s/step] Training: 93%|█████████▎| 64870/70000 [22:58:52<1:47:45, 1.26s/step] Training: 93%|█████████▎| 64871/70000 [22:58:53<1:50:14, 1.29s/step] Training: 93%|█████████▎| 64872/70000 [22:58:55<1:48:28, 1.27s/step] Training: 93%|█████████▎| 64873/70000 [22:58:56<1:46:25, 1.25s/step] Training: 93%|█████████▎| 64874/70000 [22:58:57<1:51:13, 1.30s/step] Training: 93%|█████████▎| 64875/70000 [22:58:58<1:48:33, 1.27s/step] Training: 93%|█████████▎| 64876/70000 [22:59:00<1:46:31, 1.25s/step] Training: 93%|█████████▎| 64877/70000 [22:59:01<1:48:37, 1.27s/step] Training: 93%|█████████▎| 64878/70000 [22:59:02<1:46:35, 1.25s/step] Training: 93%|█████████▎| 64879/70000 [22:59:04<1:51:33, 1.31s/step] Training: 93%|█████████▎| 64880/70000 [22:59:05<1:52:29, 1.32s/step] Training: 93%|█████████▎| 64881/70000 [22:59:06<1:48:59, 1.28s/step] Training: 93%|█████████▎| 64882/70000 [22:59:07<1:48:10, 1.27s/step] Training: 93%|█████████▎| 64883/70000 [22:59:09<1:46:07, 1.24s/step] Training: 93%|█████████▎| 64884/70000 [22:59:10<1:44:42, 1.23s/step] Training: 93%|█████████▎| 64885/70000 [22:59:11<1:44:14, 1.22s/step] Training: 93%|█████████▎| 64886/70000 [22:59:12<1:43:22, 1.21s/step] Training: 93%|█████████▎| 64887/70000 [22:59:14<1:49:11, 1.28s/step] Training: 93%|█████████▎| 64888/70000 [22:59:15<1:53:35, 1.33s/step] Training: 93%|█████████▎| 64889/70000 [22:59:16<1:50:46, 1.30s/step] Training: 93%|█████████▎| 64890/70000 [22:59:18<1:51:21, 1.31s/step] Training: 93%|█████████▎| 64891/70000 [22:59:19<1:48:19, 1.27s/step] Training: 93%|█████████▎| 64892/70000 [22:59:20<1:46:07, 1.25s/step] Training: 93%|█████████▎| 64893/70000 [22:59:21<1:48:13, 1.27s/step] Training: 93%|█████████▎| 64894/70000 [22:59:22<1:46:04, 1.25s/step] Training: 93%|█████████▎| 64895/70000 [22:59:24<1:50:25, 1.30s/step] Training: 93%|█████████▎| 64896/70000 [22:59:25<1:51:26, 1.31s/step] Training: 93%|█████████▎| 64897/70000 [22:59:26<1:49:13, 1.28s/step] Training: 93%|█████████▎| 64898/70000 [22:59:28<1:50:57, 1.30s/step] Training: 93%|█████████▎| 64899/70000 [22:59:29<1:47:50, 1.27s/step] Training: 93%|█████████▎| 64900/70000 [22:59:31<2:14:19, 1.58s/step]INFO 2026-03-13 19:09:23 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.01 loss:0.007 grdn:0.595 lr:1.3e-06 updt_s:1.250 data_s:0.030 huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 93%|█████████▎| 64901/70000 [22:59:36<3:24:29, 2.41s/step] Training: 93%|█████████▎| 64902/70000 [22:59:37<2:53:29, 2.04s/step] Training: 93%|█████████▎| 64903/70000 [22:59:38<2:33:39, 1.81s/step] Training: 93%|█████████▎| 64904/70000 [22:59:39<2:20:19, 1.65s/step] Training: 93%|█████████▎| 64905/70000 [22:59:41<2:08:25, 1.51s/step] Training: 93%|█████████▎| 64906/70000 [22:59:42<2:09:07, 1.52s/step] Training: 93%|█████████▎| 64907/70000 [22:59:43<2:00:35, 1.42s/step] Training: 93%|█████████▎| 64908/70000 [22:59:44<1:54:46, 1.35s/step] Training: 93%|█████████▎| 64909/70000 [22:59:46<1:50:37, 1.30s/step] Training: 93%|█████████▎| 64910/70000 [22:59:47<1:51:17, 1.31s/step] Training: 93%|█████████▎| 64911/70000 [22:59:48<1:53:59, 1.34s/step] Training: 93%|█████████▎| 64912/70000 [22:59:50<1:51:14, 1.31s/step] Training: 93%|█████████▎| 64913/70000 [22:59:51<1:47:49, 1.27s/step] Training: 93%|█████████▎| 64914/70000 [22:59:52<1:47:47, 1.27s/step] Training: 93%|█████████▎| 64915/70000 [22:59:53<1:45:49, 1.25s/step] Training: 93%|█████████▎| 64916/70000 [22:59:54<1:44:25, 1.23s/step] Training: 93%|█████████▎| 64917/70000 [22:59:56<1:43:18, 1.22s/step] Training: 93%|█████████▎| 64918/70000 [22:59:57<1:45:58, 1.25s/step] Training: 93%|█████████▎| 64919/70000 [22:59:58<1:47:57, 1.27s/step] Training: 93%|█████████▎| 64920/70000 [23:00:00<1:49:34, 1.29s/step] Training: 93%|█████████▎| 64921/70000 [23:00:01<1:51:00, 1.31s/step] Training: 93%|█████████▎| 64922/70000 [23:00:02<1:51:28, 1.32s/step] Training: 93%|█████████▎| 64923/70000 [23:00:04<1:48:18, 1.28s/step] Training: 93%|█████████▎| 64924/70000 [23:00:05<1:45:57, 1.25s/step] Training: 93%|█████████▎| 64925/70000 [23:00:06<1:48:01, 1.28s/step] Training: 93%|█████████▎| 64926/70000 [23:00:07<1:45:48, 1.25s/step] Training: 93%|█████████▎| 64927/70000 [23:00:09<1:47:47, 1.27s/step] Training: 93%|█████████▎| 64928/70000 [23:00:10<1:49:04, 1.29s/step] Training: 93%|█████████▎| 64929/70000 [23:00:11<1:49:09, 1.29s/step] Training: 93%|█████████▎| 64930/70000 [23:00:13<1:50:39, 1.31s/step] Training: 93%|█████████▎| 64931/70000 [23:00:14<1:47:42, 1.27s/step] Training: 93%|█████████▎| 64932/70000 [23:00:15<1:45:38, 1.25s/step] Training: 93%|█████████▎| 64933/70000 [23:00:16<1:48:04, 1.28s/step] Training: 93%|█████████▎| 64934/70000 [23:00:17<1:45:47, 1.25s/step] Training: 93%|█████████▎| 64935/70000 [23:00:19<1:48:05, 1.28s/step] Training: 93%|█████████▎| 64936/70000 [23:00:20<1:46:46, 1.27s/step] Training: 93%|█████████▎| 64937/70000 [23:00:21<1:49:11, 1.29s/step] Training: 93%|█████████▎| 64938/70000 [23:00:23<1:49:52, 1.30s/step] Training: 93%|█████████▎| 64939/70000 [23:00:24<1:47:02, 1.27s/step] Training: 93%|█████████▎| 64940/70000 [23:00:25<1:45:08, 1.25s/step] Training: 93%|█████████▎| 64941/70000 [23:00:26<1:44:32, 1.24s/step] Training: 93%|█████████▎| 64942/70000 [23:00:28<1:43:13, 1.22s/step] Training: 93%|█████████▎| 64943/70000 [23:00:29<1:45:57, 1.26s/step] Training: 93%|█████████▎| 64944/70000 [23:00:30<1:44:46, 1.24s/step] Training: 93%|█████████▎| 64945/70000 [23:00:31<1:47:44, 1.28s/step] Training: 93%|█████████▎| 64946/70000 [23:00:33<1:48:54, 1.29s/step] Training: 93%|█████████▎| 64947/70000 [23:00:34<1:46:16, 1.26s/step] Training: 93%|█████████▎| 64948/70000 [23:00:35<1:44:28, 1.24s/step] Training: 93%|█████████▎| 64949/70000 [23:00:36<1:43:43, 1.23s/step] Training: 93%|█████████▎| 64950/70000 [23:00:38<1:42:39, 1.22s/step] Training: 93%|█████████▎| 64951/70000 [23:00:39<1:45:27, 1.25s/step] Training: 93%|█████████▎| 64952/70000 [23:00:40<1:47:12, 1.27s/step] Training: 93%|█████████▎| 64953/70000 [23:00:41<1:45:01, 1.25s/step] Training: 93%|█████████▎| 64954/70000 [23:00:43<1:47:33, 1.28s/step] Training: 93%|█████████▎| 64955/70000 [23:00:44<1:48:12, 1.29s/step] Training: 93%|█████████▎| 64956/70000 [23:00:45<1:45:40, 1.26s/step] Training: 93%|█████████▎| 64957/70000 [23:00:47<1:47:17, 1.28s/step] Training: 93%|█████████▎| 64958/70000 [23:00:48<1:45:05, 1.25s/step] Training: 93%|█████████▎| 64959/70000 [23:00:49<1:44:02, 1.24s/step] Training: 93%|█████████▎| 64960/70000 [23:00:50<1:48:25, 1.29s/step] Training: 93%|█████████▎| 64961/70000 [23:00:52<1:45:47, 1.26s/step] Training: 93%|█████████▎| 64962/70000 [23:00:53<1:51:05, 1.32s/step] Training: 93%|█████████▎| 64963/70000 [23:00:54<1:49:39, 1.31s/step] Training: 93%|█████████▎| 64964/70000 [23:00:55<1:46:40, 1.27s/step] Training: 93%|█████████▎| 64965/70000 [23:00:57<1:48:36, 1.29s/step] Training: 93%|█████████▎| 64966/70000 [23:00:58<1:46:05, 1.26s/step] Training: 93%|█████████▎| 64967/70000 [23:00:59<1:47:50, 1.29s/step] Training: 93%|█████████▎| 64968/70000 [23:01:01<1:48:32, 1.29s/step] Training: 93%|█████████▎| 64969/70000 [23:01:02<1:45:56, 1.26s/step] Training: 93%|█████████▎| 64970/70000 [23:01:03<1:48:52, 1.30s/step] Training: 93%|█████████▎| 64971/70000 [23:01:04<1:46:18, 1.27s/step] Training: 93%|█████████▎| 64972/70000 [23:01:06<1:44:18, 1.24s/step] Training: 93%|█████████▎| 64973/70000 [23:01:07<1:43:51, 1.24s/step] Training: 93%|█████████▎| 64974/70000 [23:01:08<1:42:39, 1.23s/step] Training: 93%|█████████▎| 64975/70000 [23:01:09<1:45:11, 1.26s/step] Training: 93%|█████████▎| 64976/70000 [23:01:11<1:43:59, 1.24s/step] Training: 93%|█████████▎| 64977/70000 [23:01:12<1:42:44, 1.23s/step] Training: 93%|█████████▎| 64978/70000 [23:01:13<1:44:43, 1.25s/step] Training: 93%|█████████▎| 64979/70000 [23:01:14<1:46:40, 1.27s/step] Training: 93%|█████████▎| 64980/70000 [23:01:16<1:44:34, 1.25s/step] Training: 93%|█████████▎| 64981/70000 [23:01:17<1:43:42, 1.24s/step] Training: 93%|█████████▎| 64982/70000 [23:01:18<1:42:28, 1.23s/step] Training: 93%|█████████▎| 64983/70000 [23:01:19<1:45:22, 1.26s/step] Training: 93%|█████████▎| 64984/70000 [23:01:21<1:47:02, 1.28s/step] Training: 93%|█████████▎| 64985/70000 [23:01:22<1:44:45, 1.25s/step] Training: 93%|█████████▎| 64986/70000 [23:01:23<1:44:14, 1.25s/step] Training: 93%|█████████▎| 64987/70000 [23:01:24<1:46:40, 1.28s/step] Training: 93%|█████████▎| 64988/70000 [23:01:26<1:44:15, 1.25s/step] Training: 93%|█████████▎| 64989/70000 [23:01:27<1:46:20, 1.27s/step] Training: 93%|█████████▎| 64990/70000 [23:01:28<1:44:17, 1.25s/step] Training: 93%|█████████▎| 64991/70000 [23:01:29<1:44:07, 1.25s/step] Training: 93%|█████████▎| 64992/70000 [23:01:31<1:42:44, 1.23s/step] Training: 93%|█████████▎| 64993/70000 [23:01:32<1:44:57, 1.26s/step] Training: 93%|█████████▎| 64994/70000 [23:01:33<1:46:47, 1.28s/step] Training: 93%|█████████▎| 64995/70000 [23:01:35<1:47:13, 1.29s/step] Training: 93%|█████████▎| 64996/70000 [23:01:36<1:44:46, 1.26s/step] Training: 93%|█████████▎| 64997/70000 [23:01:37<1:46:37, 1.28s/step] Training: 93%|█████████▎| 64998/70000 [23:01:38<1:44:22, 1.25s/step] Training: 93%|█████████▎| 64999/70000 [23:01:40<1:46:09, 1.27s/step] Training: 93%|█████████▎| 65000/70000 [23:01:41<1:44:00, 1.25s/step]INFO 2026-03-13 19:11:33 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.09 loss:0.008 grdn:0.781 lr:1.3e-06 updt_s:1.244 data_s:0.048 Training: 93%|█████████▎| 65001/70000 [23:01:42<1:45:21, 1.26s/step] Training: 93%|█████████▎| 65002/70000 [23:01:43<1:47:06, 1.29s/step] Training: 93%|█████████▎| 65003/70000 [23:01:45<1:44:57, 1.26s/step] Training: 93%|█████████▎| 65004/70000 [23:01:46<1:47:00, 1.29s/step] Training: 93%|█████████▎| 65005/70000 [23:01:47<1:45:33, 1.27s/step] Training: 93%|█████████▎| 65006/70000 [23:01:48<1:43:34, 1.24s/step] Training: 93%|█████████▎| 65007/70000 [23:01:50<1:45:37, 1.27s/step] Training: 93%|█████████▎| 65008/70000 [23:01:51<1:43:39, 1.25s/step] Training: 93%|█████████▎| 65009/70000 [23:01:52<1:42:17, 1.23s/step] Training: 93%|█████████▎| 65010/70000 [23:01:53<1:42:13, 1.23s/step] Training: 93%|█████████▎| 65011/70000 [23:01:55<1:45:22, 1.27s/step] Training: 93%|█████████▎| 65012/70000 [23:01:56<1:43:08, 1.24s/step] Training: 93%|█████████▎| 65013/70000 [23:01:57<1:42:26, 1.23s/step] Training: 93%|█████████▎| 65014/70000 [23:01:58<1:41:24, 1.22s/step] Training: 93%|█████████▎| 65015/70000 [23:02:00<1:43:56, 1.25s/step] Training: 93%|█████████▎| 65016/70000 [23:02:01<1:42:25, 1.23s/step] Training: 93%|█████████▎| 65017/70000 [23:02:02<1:44:08, 1.25s/step] Training: 93%|█████████▎| 65018/70000 [23:02:03<1:43:23, 1.25s/step] Training: 93%|█████████▎| 65019/70000 [23:02:05<1:42:53, 1.24s/step] Training: 93%|█████████▎| 65020/70000 [23:02:06<1:45:16, 1.27s/step] Training: 93%|█████████▎| 65021/70000 [23:02:07<1:46:40, 1.29s/step] Training: 93%|█████████▎| 65022/70000 [23:02:08<1:44:14, 1.26s/step] Training: 93%|█████████▎| 65023/70000 [23:02:10<1:44:05, 1.25s/step] Training: 93%|█████████▎| 65024/70000 [23:02:11<1:42:25, 1.24s/step] Training: 93%|█████████▎| 65025/70000 [23:02:12<1:44:38, 1.26s/step] Training: 93%|█████████▎| 65026/70000 [23:02:13<1:46:32, 1.29s/step] Training: 93%|█████████▎| 65027/70000 [23:02:15<1:44:38, 1.26s/step] Training: 93%|█████████▎| 65028/70000 [23:02:16<1:46:38, 1.29s/step] Training: 93%|█████████▎| 65029/70000 [23:02:17<1:47:32, 1.30s/step] Training: 93%|█████████▎| 65030/70000 [23:02:19<1:44:51, 1.27s/step] Training: 93%|█████████▎| 65031/70000 [23:02:20<1:46:34, 1.29s/step] Training: 93%|█████████▎| 65032/70000 [23:02:21<1:44:11, 1.26s/step] Training: 93%|█████████▎| 65033/70000 [23:02:22<1:43:06, 1.25s/step] Training: 93%|█████████▎| 65034/70000 [23:02:24<1:45:02, 1.27s/step] Training: 93%|█████████▎| 65035/70000 [23:02:25<1:46:35, 1.29s/step] Training: 93%|█████████▎| 65036/70000 [23:02:26<1:44:08, 1.26s/step] Training: 93%|█████████▎| 65037/70000 [23:02:27<1:43:24, 1.25s/step] Training: 93%|█████████▎| 65038/70000 [23:02:29<1:41:58, 1.23s/step] Training: 93%|█████████▎| 65039/70000 [23:02:30<1:44:28, 1.26s/step] Training: 93%|█████████▎| 65040/70000 [23:02:31<1:42:41, 1.24s/step] Training: 93%|█████████▎| 65041/70000 [23:02:32<1:44:47, 1.27s/step] Training: 93%|█████████▎| 65042/70000 [23:02:34<1:44:06, 1.26s/step] Training: 93%|█████████▎| 65043/70000 [23:02:35<1:45:46, 1.28s/step] Training: 93%|█████████▎| 65044/70000 [23:02:36<1:44:49, 1.27s/step] Training: 93%|█████████▎| 65045/70000 [23:02:37<1:43:19, 1.25s/step] Training: 93%|█████████▎| 65046/70000 [23:02:39<1:41:44, 1.23s/step] Training: 93%|█████████▎| 65047/70000 [23:02:40<1:44:05, 1.26s/step] Training: 93%|█████████▎| 65048/70000 [23:02:41<1:45:39, 1.28s/step] Training: 93%|█████████▎| 65049/70000 [23:02:43<1:46:45, 1.29s/step] Training: 93%|█████████▎| 65050/70000 [23:02:44<1:44:39, 1.27s/step] Training: 93%|█████████▎| 65051/70000 [23:02:45<1:43:39, 1.26s/step] Training: 93%|█████████▎| 65052/70000 [23:02:46<1:43:19, 1.25s/step] Training: 93%|█████████▎| 65053/70000 [23:02:48<1:45:07, 1.28s/step] Training: 93%|█████████▎| 65054/70000 [23:02:49<1:42:56, 1.25s/step] Training: 93%|█████████▎| 65055/70000 [23:02:50<1:42:01, 1.24s/step] Training: 93%|█████████▎| 65056/70000 [23:02:51<1:43:41, 1.26s/step] Training: 93%|█████████▎| 65057/70000 [23:02:53<1:45:28, 1.28s/step] Training: 93%|█████████▎| 65058/70000 [23:02:54<1:46:46, 1.30s/step] Training: 93%|█████████▎| 65059/70000 [23:02:55<1:44:45, 1.27s/step] Training: 93%|█████████▎| 65060/70000 [23:02:56<1:42:46, 1.25s/step] Training: 93%|█████████▎| 65061/70000 [23:02:58<1:47:32, 1.31s/step] Training: 93%|█████████▎| 65062/70000 [23:02:59<1:44:41, 1.27s/step] Training: 93%|█████████▎| 65063/70000 [23:03:00<1:46:14, 1.29s/step] Training: 93%|█████████▎| 65064/70000 [23:03:02<1:43:47, 1.26s/step] Training: 93%|█████████▎| 65065/70000 [23:03:03<1:42:19, 1.24s/step] Training: 93%|█████████▎| 65066/70000 [23:03:04<1:44:40, 1.27s/step] Training: 93%|█████████▎| 65067/70000 [23:03:05<1:45:46, 1.29s/step] Training: 93%|█████████▎| 65068/70000 [23:03:07<1:43:20, 1.26s/step] Training: 93%|█████████▎| 65069/70000 [23:03:08<1:43:57, 1.26s/step] Training: 93%|█████████▎| 65070/70000 [23:03:09<1:41:59, 1.24s/step] Training: 93%|█████████▎| 65071/70000 [23:03:10<1:44:15, 1.27s/step] Training: 93%|█████████▎| 65072/70000 [23:03:12<1:43:33, 1.26s/step] Training: 93%|█████████▎| 65073/70000 [23:03:13<1:45:18, 1.28s/step] Training: 93%|█████████▎| 65074/70000 [23:03:14<1:44:11, 1.27s/step] Training: 93%|█████████▎| 65075/70000 [23:03:16<1:45:34, 1.29s/step] Training: 93%|█████████▎| 65076/70000 [23:03:17<1:43:11, 1.26s/step] Training: 93%|█████████▎| 65077/70000 [23:03:18<1:45:18, 1.28s/step] Training: 93%|█████████▎| 65078/70000 [23:03:19<1:42:39, 1.25s/step] Training: 93%|█████████▎| 65079/70000 [23:03:21<1:44:24, 1.27s/step] Training: 93%|█████████▎| 65080/70000 [23:03:22<1:45:43, 1.29s/step] Training: 93%|█████████▎| 65081/70000 [23:03:23<1:46:43, 1.30s/step] Training: 93%|█████████▎| 65082/70000 [23:03:24<1:44:42, 1.28s/step] Training: 93%|█████████▎| 65083/70000 [23:03:26<1:43:30, 1.26s/step] Training: 93%|█████████▎| 65084/70000 [23:03:27<1:41:39, 1.24s/step] Training: 93%|█████████▎| 65085/70000 [23:03:28<1:44:39, 1.28s/step] Training: 93%|█████████▎| 65086/70000 [23:03:29<1:42:12, 1.25s/step] Training: 93%|█████████▎| 65087/70000 [23:03:31<1:41:29, 1.24s/step] Training: 93%|█████████▎| 65088/70000 [23:03:32<1:40:42, 1.23s/step] Training: 93%|█████████▎| 65089/70000 [23:03:33<1:43:19, 1.26s/step] Training: 93%|█████████▎| 65090/70000 [23:03:35<1:45:13, 1.29s/step] Training: 93%|█████████▎| 65091/70000 [23:03:36<1:43:26, 1.26s/step] Training: 93%|█████████▎| 65092/70000 [23:03:37<1:41:33, 1.24s/step] Training: 93%|█████████▎| 65093/70000 [23:03:38<1:40:18, 1.23s/step] Training: 93%|█████████▎| 65094/70000 [23:03:39<1:43:07, 1.26s/step] Training: 93%|█████████▎| 65095/70000 [23:03:41<1:44:27, 1.28s/step] Training: 93%|█████████▎| 65096/70000 [23:03:42<1:45:42, 1.29s/step] Training: 93%|█████████▎| 65097/70000 [23:03:43<1:43:26, 1.27s/step] Training: 93%|█████████▎| 65098/70000 [23:03:45<1:44:57, 1.28s/step] Training: 93%|█████████▎| 65099/70000 [23:03:46<1:46:00, 1.30s/step] Training: 93%|█████████▎| 65100/70000 [23:03:47<1:43:16, 1.26s/step]INFO 2026-03-13 19:13:39 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.18 loss:0.007 grdn:0.632 lr:1.3e-06 updt_s:1.243 data_s:0.019 Training: 93%|█████████▎| 65101/70000 [23:03:48<1:42:26, 1.25s/step] Training: 93%|█████████▎| 65102/70000 [23:03:50<1:44:41, 1.28s/step] Training: 93%|█████████▎| 65103/70000 [23:03:51<1:45:49, 1.30s/step] Training: 93%|█████████▎| 65104/70000 [23:03:52<1:46:37, 1.31s/step] Training: 93%|█████████▎| 65105/70000 [23:03:54<1:47:14, 1.31s/step] Training: 93%|█████████▎| 65106/70000 [23:03:55<1:45:06, 1.29s/step] Training: 93%|█████████▎| 65107/70000 [23:03:56<1:46:09, 1.30s/step] Training: 93%|█████████▎| 65108/70000 [23:03:57<1:43:19, 1.27s/step] Training: 93%|█████████▎| 65109/70000 [23:03:59<1:41:52, 1.25s/step] Training: 93%|█████████▎| 65110/70000 [23:04:00<1:43:49, 1.27s/step] Training: 93%|█████████▎| 65111/70000 [23:04:01<1:42:38, 1.26s/step] Training: 93%|█████████▎| 65112/70000 [23:04:03<1:44:17, 1.28s/step] Training: 93%|█████████▎| 65113/70000 [23:04:04<1:45:05, 1.29s/step] Training: 93%|█████████▎| 65114/70000 [23:04:05<1:43:06, 1.27s/step] Training: 93%|█████████▎| 65115/70000 [23:04:06<1:42:01, 1.25s/step] Training: 93%|█████████▎| 65116/70000 [23:04:08<1:40:28, 1.23s/step] Training: 93%|█████████▎| 65117/70000 [23:04:09<1:42:50, 1.26s/step] Training: 93%|█████████▎| 65118/70000 [23:04:10<1:44:58, 1.29s/step] Training: 93%|█████████▎| 65119/70000 [23:04:11<1:42:51, 1.26s/step] Training: 93%|█████████▎| 65120/70000 [23:04:13<1:41:39, 1.25s/step] Training: 93%|█████████▎| 65121/70000 [23:04:14<1:43:26, 1.27s/step] Training: 93%|█████████▎| 65122/70000 [23:04:15<1:44:55, 1.29s/step] Training: 93%|█████████▎| 65123/70000 [23:04:16<1:43:19, 1.27s/step] Training: 93%|█████████▎| 65124/70000 [23:04:18<1:41:18, 1.25s/step] Training: 93%|█████████▎| 65125/70000 [23:04:19<1:43:31, 1.27s/step] Training: 93%|█████████▎| 65126/70000 [23:04:20<1:42:42, 1.26s/step] Training: 93%|█████████▎| 65127/70000 [23:04:22<1:44:24, 1.29s/step] Training: 93%|█████████▎| 65128/70000 [23:04:23<1:45:18, 1.30s/step] Training: 93%|█████████▎| 65129/70000 [23:04:24<1:43:01, 1.27s/step] Training: 93%|█████████▎| 65130/70000 [23:04:25<1:44:37, 1.29s/step] Training: 93%|█████████▎| 65131/70000 [23:04:27<1:45:24, 1.30s/step] Training: 93%|█████████▎| 65132/70000 [23:04:28<1:42:41, 1.27s/step] Training: 93%|█████████▎| 65133/70000 [23:04:29<1:41:37, 1.25s/step] Training: 93%|█████████▎| 65134/70000 [23:04:30<1:40:05, 1.23s/step] Training: 93%|█████████▎| 65135/70000 [23:04:32<1:44:51, 1.29s/step] Training: 93%|█████████▎| 65136/70000 [23:04:33<1:45:44, 1.30s/step] Training: 93%|█████████▎| 65137/70000 [23:04:34<1:46:05, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=74360 Training: 93%|█████████▎| 65138/70000 [23:04:36<1:44:12, 1.29s/step] Training: 93%|█████████▎| 65139/70000 [23:04:37<1:45:03, 1.30s/step] Training: 93%|█████████▎| 65140/70000 [23:04:38<1:42:25, 1.26s/step] Training: 93%|█████████▎| 65141/70000 [23:04:39<1:41:03, 1.25s/step] Training: 93%|█████████▎| 65142/70000 [23:04:41<1:39:37, 1.23s/step] Training: 93%|█████████▎| 65143/70000 [23:04:42<1:41:46, 1.26s/step] Training: 93%|█████████▎| 65144/70000 [23:04:43<1:43:10, 1.27s/step] Training: 93%|█████████▎| 65145/70000 [23:04:45<1:44:31, 1.29s/step] Training: 93%|█████████▎| 65146/70000 [23:04:46<1:42:59, 1.27s/step] Training: 93%|█████████▎| 65147/70000 [23:04:47<1:41:53, 1.26s/step] Training: 93%|█████████▎| 65148/70000 [23:04:48<1:40:15, 1.24s/step] Training: 93%|█████████▎| 65149/70000 [23:04:50<1:42:24, 1.27s/step] Training: 93%|█████████▎| 65150/70000 [23:04:51<1:40:33, 1.24s/step] Training: 93%|█████████▎| 65151/70000 [23:04:52<1:43:09, 1.28s/step] Training: 93%|█████████▎| 65152/70000 [23:04:53<1:41:14, 1.25s/step] Training: 93%|█████████▎| 65153/70000 [23:04:55<1:42:57, 1.27s/step] Training: 93%|█████████▎| 65154/70000 [23:04:56<1:44:25, 1.29s/step] Training: 93%|█████████▎| 65155/70000 [23:04:57<1:42:25, 1.27s/step] Training: 93%|█████████▎| 65156/70000 [23:04:58<1:40:34, 1.25s/step] Training: 93%|█████████▎| 65157/70000 [23:05:00<1:42:50, 1.27s/step] Training: 93%|█████████▎| 65158/70000 [23:05:01<1:40:56, 1.25s/step] Training: 93%|█████████▎| 65159/70000 [23:05:02<1:42:53, 1.28s/step] Training: 93%|█████████▎| 65160/70000 [23:05:04<1:46:27, 1.32s/step] Training: 93%|█████████▎| 65161/70000 [23:05:05<1:44:06, 1.29s/step] Training: 93%|█████████▎| 65162/70000 [23:05:06<1:45:13, 1.31s/step] Training: 93%|█████████▎| 65163/70000 [23:05:08<1:46:10, 1.32s/step] Training: 93%|█████████▎| 65164/70000 [23:05:09<1:43:08, 1.28s/step] Training: 93%|█████████▎| 65165/70000 [23:05:10<1:41:51, 1.26s/step] Training: 93%|█████████▎| 65166/70000 [23:05:11<1:40:42, 1.25s/step] Training: 93%|█████████▎| 65167/70000 [23:05:13<1:42:33, 1.27s/step] Training: 93%|█████████▎| 65168/70000 [23:05:14<1:46:45, 1.33s/step] Training: 93%|█████████▎| 65169/70000 [23:05:15<1:46:59, 1.33s/step] Training: 93%|█████████▎| 65170/70000 [23:05:17<1:44:38, 1.30s/step] Training: 93%|█████████▎| 65171/70000 [23:05:18<1:45:18, 1.31s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=38221 Training: 93%|█████████▎| 65172/70000 [23:05:19<1:42:23, 1.27s/step] Training: 93%|█████████▎| 65173/70000 [23:05:20<1:40:44, 1.25s/step] Training: 93%|█████████▎| 65174/70000 [23:05:21<1:39:12, 1.23s/step] Training: 93%|█████████▎| 65175/70000 [23:05:23<1:39:19, 1.24s/step] Training: 93%|█████████▎| 65176/70000 [23:05:24<1:41:23, 1.26s/step] Training: 93%|█████████▎| 65177/70000 [23:05:25<1:42:56, 1.28s/step] Training: 93%|█████████▎| 65178/70000 [23:05:27<1:41:12, 1.26s/step] Training: 93%|█████████▎| 65179/70000 [23:05:28<1:40:30, 1.25s/step] Training: 93%|█████████▎| 65180/70000 [23:05:29<1:38:58, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=46376 Training: 93%|█████████▎| 65181/70000 [23:05:30<1:41:12, 1.26s/step] Training: 93%|█████████▎| 65182/70000 [23:05:31<1:39:24, 1.24s/step] Training: 93%|█████████▎| 65183/70000 [23:05:33<1:38:29, 1.23s/step] Training: 93%|█████████▎| 65184/70000 [23:05:34<1:38:20, 1.23s/step] Training: 93%|█████████▎| 65185/70000 [23:05:35<1:40:42, 1.25s/step] Training: 93%|█████████▎| 65186/70000 [23:05:37<1:42:22, 1.28s/step] Training: 93%|█████████▎| 65187/70000 [23:05:38<1:41:08, 1.26s/step] Training: 93%|█████████▎| 65188/70000 [23:05:39<1:39:30, 1.24s/step] Training: 93%|█████████▎| 65189/70000 [23:05:40<1:41:40, 1.27s/step] Training: 93%|█████████▎| 65190/70000 [23:05:41<1:39:44, 1.24s/step] Training: 93%|█████████▎| 65191/70000 [23:05:43<1:41:56, 1.27s/step] Training: 93%|█████████▎| 65192/70000 [23:05:44<1:44:32, 1.30s/step] Training: 93%|█████████▎| 65193/70000 [23:05:45<1:42:05, 1.27s/step] Training: 93%|█████████▎| 65194/70000 [23:05:47<1:43:30, 1.29s/step] Training: 93%|█████████▎| 65195/70000 [23:05:48<1:44:38, 1.31s/step] Training: 93%|█████████▎| 65196/70000 [23:05:49<1:41:45, 1.27s/step] Training: 93%|█████████▎| 65197/70000 [23:05:51<1:40:48, 1.26s/step] Training: 93%|█████████▎| 65198/70000 [23:05:52<1:39:08, 1.24s/step] Training: 93%|█████████▎| 65199/70000 [23:05:53<1:41:12, 1.26s/step] Training: 93%|█████████▎| 65200/70000 [23:05:54<1:42:47, 1.28s/step]INFO 2026-03-13 19:15:46 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.26 loss:0.008 grdn:0.601 lr:1.3e-06 updt_s:1.251 data_s:0.019 Training: 93%|█████████▎| 65201/70000 [23:05:56<1:43:38, 1.30s/step] Training: 93%|█████████▎| 65202/70000 [23:05:57<1:41:30, 1.27s/step] Training: 93%|█████████▎| 65203/70000 [23:05:58<1:42:58, 1.29s/step] Training: 93%|█████████▎| 65204/70000 [23:05:59<1:40:40, 1.26s/step] Training: 93%|█████████▎| 65205/70000 [23:06:01<1:39:37, 1.25s/step] Training: 93%|█████████▎| 65206/70000 [23:06:02<1:38:12, 1.23s/step] Training: 93%|█████████▎| 65207/70000 [23:06:03<1:38:14, 1.23s/step] Training: 93%|█████████▎| 65208/70000 [23:06:04<1:40:28, 1.26s/step] Training: 93%|█████████▎| 65209/70000 [23:06:06<1:44:45, 1.31s/step] Training: 93%|█████████▎| 65210/70000 [23:06:07<1:42:51, 1.29s/step] Training: 93%|█████████▎| 65211/70000 [23:06:08<1:41:14, 1.27s/step] Training: 93%|█████████▎| 65212/70000 [23:06:09<1:39:17, 1.24s/step] Training: 93%|█████████▎| 65213/70000 [23:06:11<1:41:15, 1.27s/step] Training: 93%|█████████▎| 65214/70000 [23:06:12<1:39:19, 1.25s/step] Training: 93%|█████████▎| 65215/70000 [23:06:13<1:38:49, 1.24s/step] Training: 93%|█████████▎| 65216/70000 [23:06:14<1:38:15, 1.23s/step] Training: 93%|█████████▎| 65217/70000 [23:06:16<1:42:29, 1.29s/step] Training: 93%|█████████▎| 65218/70000 [23:06:17<1:40:07, 1.26s/step] Training: 93%|█████████▎| 65219/70000 [23:06:18<1:41:29, 1.27s/step] Training: 93%|█████████▎| 65220/70000 [23:06:20<1:39:37, 1.25s/step] Training: 93%|█████████▎| 65221/70000 [23:06:21<1:41:23, 1.27s/step] Training: 93%|█████████▎| 65222/70000 [23:06:22<1:39:25, 1.25s/step] Training: 93%|█████████▎| 65223/70000 [23:06:23<1:41:21, 1.27s/step] Training: 93%|█████████▎| 65224/70000 [23:06:25<1:42:38, 1.29s/step] Training: 93%|█████████▎| 65225/70000 [23:06:26<1:44:12, 1.31s/step] Training: 93%|█████████▎| 65226/70000 [23:06:27<1:44:25, 1.31s/step] Training: 93%|█████████▎| 65227/70000 [23:06:29<1:44:54, 1.32s/step] Training: 93%|█████████▎| 65228/70000 [23:06:30<1:41:42, 1.28s/step] Training: 93%|█████████▎| 65229/70000 [23:06:31<1:40:19, 1.26s/step] Training: 93%|█████████▎| 65230/70000 [23:06:32<1:38:35, 1.24s/step] Training: 93%|█████████▎| 65231/70000 [23:06:34<1:41:02, 1.27s/step] Training: 93%|█████████▎| 65232/70000 [23:06:35<1:42:23, 1.29s/step] Training: 93%|█████████▎| 65233/70000 [23:06:36<1:43:52, 1.31s/step] Training: 93%|█████████▎| 65234/70000 [23:06:38<1:45:09, 1.32s/step] Training: 93%|█████████▎| 65235/70000 [23:06:39<1:45:18, 1.33s/step] Training: 93%|█████████▎| 65236/70000 [23:06:40<1:42:04, 1.29s/step] Training: 93%|█████████▎| 65237/70000 [23:06:41<1:40:19, 1.26s/step] Training: 93%|█████████▎| 65238/70000 [23:06:43<1:38:32, 1.24s/step] Training: 93%|█████████▎| 65239/70000 [23:06:44<1:38:33, 1.24s/step] Training: 93%|█████████▎| 65240/70000 [23:06:45<1:38:16, 1.24s/step] Training: 93%|█████████▎| 65241/70000 [23:06:46<1:40:20, 1.26s/step] Training: 93%|█████████▎| 65242/70000 [23:06:48<1:44:44, 1.32s/step] Training: 93%|█████████▎| 65243/70000 [23:06:49<1:42:32, 1.29s/step] Training: 93%|█████████▎| 65244/70000 [23:06:50<1:39:59, 1.26s/step] Training: 93%|█████████▎| 65245/70000 [23:06:52<1:41:44, 1.28s/step] Training: 93%|█████████▎| 65246/70000 [23:06:53<1:39:32, 1.26s/step] Training: 93%|█████████▎| 65247/70000 [23:06:54<1:38:26, 1.24s/step] Training: 93%|█████████▎| 65248/70000 [23:06:55<1:37:41, 1.23s/step] Training: 93%|█████████▎| 65249/70000 [23:06:57<1:39:49, 1.26s/step] Training: 93%|█████████▎| 65250/70000 [23:06:58<1:43:54, 1.31s/step] Training: 93%|█████████▎| 65251/70000 [23:06:59<1:41:28, 1.28s/step] Training: 93%|█████████▎| 65252/70000 [23:07:00<1:39:17, 1.25s/step] Training: 93%|█████████▎| 65253/70000 [23:07:02<1:40:52, 1.28s/step] Training: 93%|█████████▎| 65254/70000 [23:07:03<1:38:52, 1.25s/step] Training: 93%|█████████▎| 65255/70000 [23:07:04<1:40:43, 1.27s/step] Training: 93%|█████████▎| 65256/70000 [23:07:06<1:42:13, 1.29s/step] Training: 93%|█████████▎| 65257/70000 [23:07:07<1:40:14, 1.27s/step] Training: 93%|█████████▎| 65258/70000 [23:07:08<1:43:54, 1.31s/step] Training: 93%|█████████▎| 65259/70000 [23:07:10<1:44:26, 1.32s/step] Training: 93%|█████████▎| 65260/70000 [23:07:11<1:41:17, 1.28s/step] Training: 93%|█████████▎| 65261/70000 [23:07:12<1:40:04, 1.27s/step] Training: 93%|█████████▎| 65262/70000 [23:07:13<1:38:11, 1.24s/step] Training: 93%|█████████▎| 65263/70000 [23:07:14<1:40:00, 1.27s/step] Training: 93%|█████████▎| 65264/70000 [23:07:16<1:41:22, 1.28s/step] Training: 93%|█████████▎| 65265/70000 [23:07:17<1:42:20, 1.30s/step] Training: 93%|█████████▎| 65266/70000 [23:07:19<1:44:23, 1.32s/step] Training: 93%|█████████▎| 65267/70000 [23:07:20<1:44:11, 1.32s/step] Training: 93%|█████████▎| 65268/70000 [23:07:21<1:41:11, 1.28s/step] Training: 93%|█████████▎| 65269/70000 [23:07:22<1:39:36, 1.26s/step] Training: 93%|█████████▎| 65270/70000 [23:07:23<1:37:49, 1.24s/step] Training: 93%|█████████▎| 65271/70000 [23:07:25<1:37:35, 1.24s/step] Training: 93%|█████████▎| 65272/70000 [23:07:26<1:37:28, 1.24s/step] Training: 93%|█████████▎| 65273/70000 [23:07:27<1:39:35, 1.26s/step] Training: 93%|█████████▎| 65274/70000 [23:07:29<1:40:54, 1.28s/step] Training: 93%|█████████▎| 65275/70000 [23:07:30<1:39:39, 1.27s/step] Training: 93%|█████████▎| 65276/70000 [23:07:31<1:37:45, 1.24s/step] Training: 93%|█████████▎| 65277/70000 [23:07:32<1:39:49, 1.27s/step] Training: 93%|█████████▎| 65278/70000 [23:07:33<1:37:56, 1.24s/step] Training: 93%|█████████▎| 65279/70000 [23:07:35<1:37:03, 1.23s/step] Training: 93%|█████████▎| 65280/70000 [23:07:36<1:36:18, 1.22s/step] Training: 93%|█████████▎| 65281/70000 [23:07:37<1:38:45, 1.26s/step] Training: 93%|█████████▎| 65282/70000 [23:07:39<1:40:34, 1.28s/step] Training: 93%|█████████▎| 65283/70000 [23:07:40<1:42:01, 1.30s/step] Training: 93%|█████████▎| 65284/70000 [23:07:41<1:39:18, 1.26s/step] Training: 93%|█████████▎| 65285/70000 [23:07:42<1:40:57, 1.28s/step] Training: 93%|█████████▎| 65286/70000 [23:07:44<1:38:40, 1.26s/step] Training: 93%|█████████▎| 65287/70000 [23:07:45<1:40:27, 1.28s/step] Training: 93%|█████████▎| 65288/70000 [23:07:46<1:42:03, 1.30s/step] Training: 93%|█████████▎| 65289/70000 [23:07:47<1:39:40, 1.27s/step] Training: 93%|█████████▎| 65290/70000 [23:07:49<1:41:10, 1.29s/step] Training: 93%|█████████▎| 65291/70000 [23:07:50<1:44:31, 1.33s/step] Training: 93%|█████████▎| 65292/70000 [23:07:51<1:41:05, 1.29s/step] Training: 93%|█████████▎| 65293/70000 [23:07:53<1:38:59, 1.26s/step] Training: 93%|█████████▎| 65294/70000 [23:07:54<1:37:13, 1.24s/step] Training: 93%|█████████▎| 65295/70000 [23:07:55<1:39:17, 1.27s/step] Training: 93%|█████████▎| 65296/70000 [23:07:56<1:40:42, 1.28s/step] Training: 93%|█████████▎| 65297/70000 [23:07:58<1:41:41, 1.30s/step] Training: 93%|█████████▎| 65298/70000 [23:07:59<1:43:22, 1.32s/step] Training: 93%|█████████▎| 65299/70000 [23:08:01<1:44:16, 1.33s/step] Training: 93%|█████████▎| 65300/70000 [23:08:02<1:40:39, 1.28s/step]INFO 2026-03-13 19:17:54 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.35 loss:0.008 grdn:0.712 lr:1.3e-06 updt_s:1.252 data_s:0.019 Training: 93%|█████████▎| 65301/70000 [23:08:03<1:39:27, 1.27s/step] Training: 93%|█████████▎| 65302/70000 [23:08:04<1:37:34, 1.25s/step] Training: 93%|█████████▎| 65303/70000 [23:08:05<1:37:15, 1.24s/step] Training: 93%|█████████▎| 65304/70000 [23:08:07<1:37:01, 1.24s/step] Training: 93%|█████████▎| 65305/70000 [23:08:08<1:39:04, 1.27s/step] Training: 93%|█████████▎| 65306/70000 [23:08:09<1:40:23, 1.28s/step] Training: 93%|█████████▎| 65307/70000 [23:08:10<1:38:52, 1.26s/step] Training: 93%|█████████▎| 65308/70000 [23:08:12<1:40:41, 1.29s/step] Training: 93%|█████████▎| 65309/70000 [23:08:13<1:38:14, 1.26s/step] Training: 93%|█████████▎| 65310/70000 [23:08:14<1:39:29, 1.27s/step] Training: 93%|█████████▎| 65311/70000 [23:08:16<1:38:00, 1.25s/step] Training: 93%|█████████▎| 65312/70000 [23:08:17<1:36:58, 1.24s/step] Training: 93%|█████████▎| 65313/70000 [23:08:18<1:38:50, 1.27s/step] Training: 93%|█████████▎| 65314/70000 [23:08:19<1:40:08, 1.28s/step] Training: 93%|█████████▎| 65315/70000 [23:08:21<1:38:35, 1.26s/step] Training: 93%|█████████▎| 65316/70000 [23:08:22<1:40:27, 1.29s/step] Training: 93%|█████████▎| 65317/70000 [23:08:23<1:38:04, 1.26s/step] Training: 93%|█████████▎| 65318/70000 [23:08:24<1:36:30, 1.24s/step] Training: 93%|█████████▎| 65319/70000 [23:08:26<1:38:38, 1.26s/step] Training: 93%|█████████▎| 65320/70000 [23:08:27<1:40:11, 1.28s/step] Training: 93%|█████████▎| 65321/70000 [23:08:28<1:38:21, 1.26s/step] Training: 93%|█████████▎| 65322/70000 [23:08:30<1:40:05, 1.28s/step] Training: 93%|█████████▎| 65323/70000 [23:08:31<1:41:14, 1.30s/step] Training: 93%|█████████▎| 65324/70000 [23:08:32<1:38:39, 1.27s/step] Training: 93%|█████████▎| 65325/70000 [23:08:33<1:39:35, 1.28s/step] Training: 93%|█████████▎| 65326/70000 [23:08:35<1:37:35, 1.25s/step] Training: 93%|█████████▎| 65327/70000 [23:08:36<1:39:18, 1.27s/step] Training: 93%|█████████▎| 65328/70000 [23:08:37<1:40:26, 1.29s/step] Training: 93%|█████████▎| 65329/70000 [23:08:39<1:41:22, 1.30s/step] Training: 93%|█████████▎| 65330/70000 [23:08:40<1:42:34, 1.32s/step] Training: 93%|█████████▎| 65331/70000 [23:08:41<1:43:02, 1.32s/step] Training: 93%|█████████▎| 65332/70000 [23:08:42<1:41:08, 1.30s/step] Training: 93%|█████████▎| 65333/70000 [23:08:44<1:41:45, 1.31s/step] Training: 93%|█████████▎| 65334/70000 [23:08:45<1:38:59, 1.27s/step] Training: 93%|█████████▎| 65335/70000 [23:08:46<1:38:10, 1.26s/step] Training: 93%|█████████▎| 65336/70000 [23:08:47<1:37:19, 1.25s/step] Training: 93%|█████████▎| 65337/70000 [23:08:49<1:38:58, 1.27s/step] Training: 93%|█████████▎| 65338/70000 [23:08:50<1:40:23, 1.29s/step] Training: 93%|█████████▎| 65339/70000 [23:08:51<1:38:49, 1.27s/step] Training: 93%|█████████▎| 65340/70000 [23:08:53<1:38:05, 1.26s/step] Training: 93%|█████████▎| 65341/70000 [23:08:54<1:36:32, 1.24s/step] Training: 93%|█████████▎| 65342/70000 [23:08:55<1:35:18, 1.23s/step] Training: 93%|█████████▎| 65343/70000 [23:08:56<1:35:04, 1.22s/step] Training: 93%|█████████▎| 65344/70000 [23:08:57<1:34:46, 1.22s/step] Training: 93%|█████████▎| 65345/70000 [23:08:59<1:37:12, 1.25s/step] Training: 93%|█████████▎| 65346/70000 [23:09:00<1:39:10, 1.28s/step] Training: 93%|█████████▎| 65347/70000 [23:09:01<1:38:00, 1.26s/step] Training: 93%|█████████▎| 65348/70000 [23:09:02<1:36:12, 1.24s/step] Training: 93%|█████████▎| 65349/70000 [23:09:04<1:40:54, 1.30s/step] Training: 93%|█████████▎| 65350/70000 [23:09:05<1:38:24, 1.27s/step] Training: 93%|█████████▎| 65351/70000 [23:09:06<1:39:44, 1.29s/step] Training: 93%|█████████▎| 65352/70000 [23:09:08<1:40:31, 1.30s/step] Training: 93%|█████████▎| 65353/70000 [23:09:09<1:38:29, 1.27s/step] Training: 93%|█████████▎| 65354/70000 [23:09:10<1:39:47, 1.29s/step] Training: 93%|█████████▎| 65355/70000 [23:09:12<1:40:42, 1.30s/step] Training: 93%|█████████▎| 65356/70000 [23:09:13<1:38:07, 1.27s/step] Training: 93%|█████████▎| 65357/70000 [23:09:14<1:41:09, 1.31s/step] Training: 93%|█████████▎| 65358/70000 [23:09:15<1:38:24, 1.27s/step] Training: 93%|█████████▎| 65359/70000 [23:09:17<1:39:41, 1.29s/step] Training: 93%|█████████▎| 65360/70000 [23:09:18<1:40:27, 1.30s/step] Training: 93%|█████████▎| 65361/70000 [23:09:19<1:40:57, 1.31s/step] Training: 93%|█████████▎| 65362/70000 [23:09:21<1:42:17, 1.32s/step] Training: 93%|█████████▎| 65363/70000 [23:09:22<1:42:14, 1.32s/step] Training: 93%|█████████▎| 65364/70000 [23:09:23<1:39:11, 1.28s/step] Training: 93%|█████████▎| 65365/70000 [23:09:25<1:40:26, 1.30s/step] Training: 93%|█████████▎| 65366/70000 [23:09:26<1:41:21, 1.31s/step] Training: 93%|█████████▎| 65367/70000 [23:09:27<1:40:05, 1.30s/step] Training: 93%|█████████▎| 65368/70000 [23:09:28<1:38:30, 1.28s/step] Training: 93%|█████████▎| 65369/70000 [23:09:30<1:39:46, 1.29s/step] Training: 93%|█████████▎| 65370/70000 [23:09:31<1:40:29, 1.30s/step] Training: 93%|█████████▎| 65371/70000 [23:09:32<1:39:09, 1.29s/step] Training: 93%|█████████▎| 65372/70000 [23:09:34<1:37:00, 1.26s/step] Training: 93%|█████████▎| 65373/70000 [23:09:35<1:39:02, 1.28s/step] Training: 93%|█████████▎| 65374/70000 [23:09:36<1:36:39, 1.25s/step] Training: 93%|█████████▎| 65375/70000 [23:09:37<1:36:06, 1.25s/step] Training: 93%|█████████▎| 65376/70000 [23:09:38<1:35:00, 1.23s/step] Training: 93%|█████████▎| 65377/70000 [23:09:40<1:34:51, 1.23s/step] Training: 93%|█████████▎| 65378/70000 [23:09:41<1:37:05, 1.26s/step] Training: 93%|█████████▎| 65379/70000 [23:09:42<1:35:46, 1.24s/step] Training: 93%|█████████▎| 65380/70000 [23:09:43<1:34:32, 1.23s/step] Training: 93%|█████████▎| 65381/70000 [23:09:45<1:37:12, 1.26s/step] Training: 93%|█████████▎| 65382/70000 [23:09:46<1:39:06, 1.29s/step] Training: 93%|█████████▎| 65383/70000 [23:09:47<1:36:39, 1.26s/step] Training: 93%|█████████▎| 65384/70000 [23:09:49<1:41:01, 1.31s/step] Training: 93%|█████████▎| 65385/70000 [23:09:50<1:38:44, 1.28s/step] Training: 93%|█████████▎| 65386/70000 [23:09:51<1:39:48, 1.30s/step] Training: 93%|█████████▎| 65387/70000 [23:09:53<1:40:46, 1.31s/step] Training: 93%|█████████▎| 65388/70000 [23:09:54<1:37:58, 1.27s/step] Training: 93%|█████████▎| 65389/70000 [23:09:55<1:39:09, 1.29s/step] Training: 93%|█████████▎| 65390/70000 [23:09:56<1:40:08, 1.30s/step] Training: 93%|█████████▎| 65391/70000 [23:09:58<1:40:33, 1.31s/step] Training: 93%|█████████▎| 65392/70000 [23:09:59<1:40:54, 1.31s/step] Training: 93%|█████████▎| 65393/70000 [23:10:00<1:41:20, 1.32s/step] Training: 93%|█████████▎| 65394/70000 [23:10:02<1:42:41, 1.34s/step] Training: 93%|█████████▎| 65395/70000 [23:10:03<1:42:21, 1.33s/step] Training: 93%|█████████▎| 65396/70000 [23:10:04<1:38:57, 1.29s/step] Training: 93%|█████████▎| 65397/70000 [23:10:06<1:40:04, 1.30s/step] Training: 93%|█████████▎| 65398/70000 [23:10:07<1:37:27, 1.27s/step] Training: 93%|█████████▎| 65399/70000 [23:10:08<1:35:49, 1.25s/step] Training: 93%|█████████▎| 65400/70000 [23:10:09<1:35:17, 1.24s/step]INFO 2026-03-13 19:20:01 ot_train.py:435 step:65K smpl:4M ep:14K epch:55.43 loss:0.008 grdn:0.664 lr:1.3e-06 updt_s:1.255 data_s:0.019 Training: 93%|█████████▎| 65401/70000 [23:10:11<1:37:04, 1.27s/step] Training: 93%|█████████▎| 65402/70000 [23:10:12<1:38:43, 1.29s/step] Training: 93%|█████████▎| 65403/70000 [23:10:13<1:37:09, 1.27s/step] Training: 93%|█████████▎| 65404/70000 [23:10:14<1:35:22, 1.25s/step] Training: 93%|█████████▎| 65405/70000 [23:10:16<1:34:48, 1.24s/step] Training: 93%|█████████▎| 65406/70000 [23:10:17<1:35:04, 1.24s/step] Training: 93%|█████████▎| 65407/70000 [23:10:18<1:34:41, 1.24s/step] Training: 93%|█████████▎| 65408/70000 [23:10:19<1:34:16, 1.23s/step] Training: 93%|█████████▎| 65409/70000 [23:10:21<1:34:13, 1.23s/step] Training: 93%|█████████▎| 65410/70000 [23:10:22<1:33:42, 1.23s/step] Training: 93%|█████████▎| 65411/70000 [23:10:23<1:35:51, 1.25s/step] Training: 93%|█████████▎| 65412/70000 [23:10:24<1:34:23, 1.23s/step] Training: 93%|█████████▎| 65413/70000 [23:10:26<1:36:49, 1.27s/step] Training: 93%|█████████▎| 65414/70000 [23:10:27<1:36:06, 1.26s/step] Training: 93%|█████████▎| 65415/70000 [23:10:28<1:34:19, 1.23s/step] Training: 93%|█████████▎| 65416/70000 [23:10:29<1:38:09, 1.28s/step] Training: 93%|█████████▎| 65417/70000 [23:10:31<1:36:19, 1.26s/step] Training: 93%|█████████▎| 65418/70000 [23:10:32<1:38:03, 1.28s/step] Training: 93%|█████████▎| 65419/70000 [23:10:33<1:41:31, 1.33s/step] Training: 93%|█████████▎| 65420/70000 [23:10:35<1:38:19, 1.29s/step] Training: 93%|█████████▎| 65421/70000 [23:10:36<1:39:34, 1.30s/step] Training: 93%|█████████▎| 65422/70000 [23:10:37<1:36:54, 1.27s/step] Training: 93%|█████████▎| 65423/70000 [23:10:38<1:38:39, 1.29s/step] Training: 93%|█████████▎| 65424/70000 [23:10:40<1:39:14, 1.30s/step] Training: 93%|█████████▎| 65425/70000 [23:10:41<1:39:51, 1.31s/step] Training: 93%|█████████▎| 65426/70000 [23:10:42<1:40:08, 1.31s/step] Training: 93%|█████████▎| 65427/70000 [23:10:44<1:42:32, 1.35s/step] Training: 93%|█████████▎| 65428/70000 [23:10:45<1:39:02, 1.30s/step] Training: 93%|█████████▎| 65429/70000 [23:10:46<1:39:45, 1.31s/step] Training: 93%|█████████▎| 65430/70000 [23:10:48<1:36:56, 1.27s/step] Training: 93%|█████████▎| 65431/70000 [23:10:49<1:38:16, 1.29s/step] Training: 93%|█████████▎| 65432/70000 [23:10:50<1:36:40, 1.27s/step] Training: 93%|█████████▎| 65433/70000 [23:10:51<1:37:45, 1.28s/step] Training: 93%|█████████▎| 65434/70000 [23:10:53<1:38:46, 1.30s/step] Training: 93%|█████████▎| 65435/70000 [23:10:54<1:37:04, 1.28s/step] Training: 93%|█████████▎| 65436/70000 [23:10:55<1:35:06, 1.25s/step] Training: 93%|█████████▎| 65437/70000 [23:10:56<1:33:56, 1.24s/step] Training: 93%|█████████▎| 65438/70000 [23:10:58<1:32:54, 1.22s/step] Training: 93%|█████████▎| 65439/70000 [23:10:59<1:36:18, 1.27s/step] Training: 93%|█████████▎| 65440/70000 [23:11:00<1:34:38, 1.25s/step] Training: 93%|█████████▎| 65441/70000 [23:11:01<1:34:20, 1.24s/step] Training: 93%|█████████▎| 65442/70000 [23:11:03<1:33:29, 1.23s/step] Training: 93%|█████████▎| 65443/70000 [23:11:04<1:33:08, 1.23s/step] Training: 93%|█████████▎| 65444/70000 [23:11:05<1:32:14, 1.21s/step] Training: 93%|█████████▎| 65445/70000 [23:11:06<1:34:59, 1.25s/step] Training: 93%|█████████▎| 65446/70000 [23:11:08<1:33:32, 1.23s/step] Training: 93%|█████████▎| 65447/70000 [23:11:09<1:36:28, 1.27s/step] Training: 93%|█████████▎| 65448/70000 [23:11:10<1:37:50, 1.29s/step] Training: 93%|█████████▎| 65449/70000 [23:11:11<1:36:01, 1.27s/step] Training: 94%|█████████▎| 65450/70000 [23:11:13<1:37:20, 1.28s/step] Training: 94%|█████████▎| 65451/70000 [23:11:14<1:39:13, 1.31s/step] Training: 94%|█████████▎| 65452/70000 [23:11:15<1:36:37, 1.27s/step] Training: 94%|█████████▎| 65453/70000 [23:11:17<1:37:50, 1.29s/step] Training: 94%|█████████▎| 65454/70000 [23:11:18<1:35:35, 1.26s/step] Training: 94%|█████████▎| 65455/70000 [23:11:19<1:37:26, 1.29s/step] Training: 94%|█████████▎| 65456/70000 [23:11:21<1:41:10, 1.34s/step] Training: 94%|█████████▎| 65457/70000 [23:11:22<1:40:54, 1.33s/step] Training: 94%|█████████▎| 65458/70000 [23:11:23<1:40:49, 1.33s/step] Training: 94%|█████████▎| 65459/70000 [23:11:25<1:40:48, 1.33s/step] Training: 94%|█████████▎| 65460/70000 [23:11:26<1:37:32, 1.29s/step] Training: 94%|█████████▎| 65461/70000 [23:11:27<1:38:13, 1.30s/step] Training: 94%|█████████▎| 65462/70000 [23:11:28<1:35:44, 1.27s/step] Training: 94%|█████████▎| 65463/70000 [23:11:30<1:37:08, 1.28s/step] Training: 94%|█████████▎| 65464/70000 [23:11:31<1:38:31, 1.30s/step] Training: 94%|█████████▎| 65465/70000 [23:11:32<1:38:41, 1.31s/step] Training: 94%|█████████▎| 65466/70000 [23:11:34<1:39:22, 1.31s/step] Training: 94%|█████████▎| 65467/70000 [23:11:35<1:40:34, 1.33s/step] Training: 94%|█████████▎| 65468/70000 [23:11:36<1:37:16, 1.29s/step] Training: 94%|█████████▎| 65469/70000 [23:11:37<1:35:37, 1.27s/step] Training: 94%|█████████▎| 65470/70000 [23:11:39<1:33:51, 1.24s/step] Training: 94%|█████████▎| 65471/70000 [23:11:40<1:36:07, 1.27s/step] Training: 94%|█████████▎| 65472/70000 [23:11:41<1:37:28, 1.29s/step] Training: 94%|█████████▎| 65473/70000 [23:11:42<1:35:57, 1.27s/step] Training: 94%|█████████▎| 65474/70000 [23:11:44<1:34:31, 1.25s/step] Training: 94%|█████████▎| 65475/70000 [23:11:45<1:36:16, 1.28s/step] Training: 94%|█████████▎| 65476/70000 [23:11:46<1:34:16, 1.25s/step] Training: 94%|█████████▎| 65477/70000 [23:11:48<1:35:56, 1.27s/step] Training: 94%|█████████▎| 65478/70000 [23:11:49<1:34:04, 1.25s/step] Training: 94%|█████████▎| 65479/70000 [23:11:50<1:33:26, 1.24s/step] Training: 94%|█████████▎| 65480/70000 [23:11:51<1:36:06, 1.28s/step] Training: 94%|█████████▎| 65481/70000 [23:11:53<1:34:18, 1.25s/step] Training: 94%|█████████▎| 65482/70000 [23:11:54<1:36:09, 1.28s/step] Training: 94%|█████████▎| 65483/70000 [23:11:55<1:38:03, 1.30s/step] Training: 94%|█████████▎| 65484/70000 [23:11:56<1:35:34, 1.27s/step] Training: 94%|█████████▎| 65485/70000 [23:11:58<1:36:59, 1.29s/step] Training: 94%|█████████▎| 65486/70000 [23:11:59<1:34:53, 1.26s/step] Training: 94%|█████████▎| 65487/70000 [23:12:00<1:36:28, 1.28s/step] Training: 94%|█████████▎| 65488/70000 [23:12:02<1:37:33, 1.30s/step] Training: 94%|█████████▎| 65489/70000 [23:12:03<1:35:08, 1.27s/step] Training: 94%|█████████▎| 65490/70000 [23:12:04<1:38:44, 1.31s/step] Training: 94%|█████████▎| 65491/70000 [23:12:06<1:38:59, 1.32s/step] Training: 94%|█████████▎| 65492/70000 [23:12:07<1:36:06, 1.28s/step] Training: 94%|█████████▎| 65493/70000 [23:12:08<1:34:54, 1.26s/step] Training: 94%|█████████▎| 65494/70000 [23:12:09<1:33:14, 1.24s/step] Training: 94%|█████████▎| 65495/70000 [23:12:10<1:35:28, 1.27s/step] Training: 94%|█████████▎| 65496/70000 [23:12:12<1:34:33, 1.26s/step] Training: 94%|█████████▎| 65497/70000 [23:12:13<1:36:25, 1.28s/step] Training: 94%|█████████▎| 65498/70000 [23:12:14<1:38:22, 1.31s/step] Training: 94%|█████████▎| 65499/70000 [23:12:16<1:39:42, 1.33s/step] Training: 94%|█████████▎| 65500/70000 [23:12:17<1:36:32, 1.29s/step]INFO 2026-03-13 19:22:09 ot_train.py:435 step:66K smpl:4M ep:14K epch:55.52 loss:0.007 grdn:0.540 lr:1.2e-06 updt_s:1.256 data_s:0.019 Training: 94%|█████████▎| 65501/70000 [23:12:18<1:34:48, 1.26s/step] Training: 94%|█████████▎| 65502/70000 [23:12:19<1:33:04, 1.24s/step] Training: 94%|█████████▎| 65503/70000 [23:12:21<1:35:07, 1.27s/step] Training: 94%|█████████▎| 65504/70000 [23:12:22<1:33:40, 1.25s/step] Training: 94%|█████████▎| 65505/70000 [23:12:23<1:34:51, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=74360 Training: 94%|█████████▎| 65506/70000 [23:12:24<1:33:25, 1.25s/step] Training: 94%|█████████▎| 65507/70000 [23:12:26<1:35:31, 1.28s/step] Training: 94%|█████████▎| 65508/70000 [23:12:27<1:33:34, 1.25s/step] Training: 94%|█████████▎| 65509/70000 [23:12:28<1:35:24, 1.27s/step] Training: 94%|█████████▎| 65510/70000 [23:12:30<1:33:29, 1.25s/step] Training: 94%|█████████▎| 65511/70000 [23:12:31<1:32:35, 1.24s/step] Training: 94%|█████████▎| 65512/70000 [23:12:32<1:34:46, 1.27s/step] Training: 94%|█████████▎| 65513/70000 [23:12:33<1:36:47, 1.29s/step] Training: 94%|█████████▎| 65514/70000 [23:12:35<1:37:15, 1.30s/step] Training: 94%|█████████▎| 65515/70000 [23:12:36<1:38:39, 1.32s/step] Training: 94%|█████████▎| 65516/70000 [23:12:37<1:35:41, 1.28s/step] Training: 94%|█████████▎| 65517/70000 [23:12:39<1:36:40, 1.29s/step] Training: 94%|█████████▎| 65518/70000 [23:12:40<1:34:17, 1.26s/step] Training: 94%|█████████▎| 65519/70000 [23:12:41<1:35:58, 1.29s/step] Training: 94%|█████████▎| 65520/70000 [23:12:42<1:37:07, 1.30s/step] Training: 94%|█████████▎| 65521/70000 [23:12:44<1:34:39, 1.27s/step] Training: 94%|█████████▎| 65522/70000 [23:12:45<1:38:12, 1.32s/step] Training: 94%|█████████▎| 65523/70000 [23:12:46<1:38:26, 1.32s/step] Training: 94%|█████████▎| 65524/70000 [23:12:48<1:35:27, 1.28s/step] Training: 94%|█████████▎| 65525/70000 [23:12:49<1:34:10, 1.26s/step] Training: 94%|█████████▎| 65526/70000 [23:12:50<1:32:31, 1.24s/step] Training: 94%|█████████▎| 65527/70000 [23:12:51<1:34:28, 1.27s/step] Training: 94%|█████████▎| 65528/70000 [23:12:53<1:33:32, 1.26s/step] Training: 94%|█████████▎| 65529/70000 [23:12:54<1:32:07, 1.24s/step] Training: 94%|█████████▎| 65530/70000 [23:12:55<1:36:46, 1.30s/step] Training: 94%|█████████▎| 65531/70000 [23:12:57<1:38:15, 1.32s/step] Training: 94%|█████████▎| 65532/70000 [23:12:58<1:35:19, 1.28s/step] Training: 94%|█████████▎| 65533/70000 [23:12:59<1:33:50, 1.26s/step] Training: 94%|█████████▎| 65534/70000 [23:13:00<1:32:12, 1.24s/step] Training: 94%|█████████▎| 65535/70000 [23:13:01<1:34:03, 1.26s/step] Training: 94%|█████████▎| 65536/70000 [23:13:03<1:32:49, 1.25s/step] Training: 94%|█████████▎| 65537/70000 [23:13:04<1:31:31, 1.23s/step] Training: 94%|█████████▎| 65538/70000 [23:13:05<1:31:01, 1.22s/step] Training: 94%|█████████▎| 65539/70000 [23:13:06<1:33:21, 1.26s/step] Training: 94%|█████████▎| 65540/70000 [23:13:08<1:31:51, 1.24s/step] Training: 94%|█████████▎| 65541/70000 [23:13:09<1:34:01, 1.27s/step] Training: 94%|█████████▎| 65542/70000 [23:13:10<1:32:17, 1.24s/step] Training: 94%|█████████▎| 65543/70000 [23:13:11<1:31:23, 1.23s/step] Training: 94%|█████████▎| 65544/70000 [23:13:13<1:33:29, 1.26s/step] Training: 94%|█████████▎| 65545/70000 [23:13:14<1:31:51, 1.24s/step] Training: 94%|█████████▎| 65546/70000 [23:13:15<1:34:51, 1.28s/step] Training: 94%|█████████▎| 65547/70000 [23:13:17<1:36:49, 1.30s/step] Training: 94%|█████████▎| 65548/70000 [23:13:18<1:34:12, 1.27s/step] Training: 94%|█████████▎| 65549/70000 [23:13:19<1:35:28, 1.29s/step] Training: 94%|█████████▎| 65550/70000 [23:13:20<1:33:13, 1.26s/step] Training: 94%|█████████▎| 65551/70000 [23:13:22<1:34:52, 1.28s/step] Training: 94%|█████████▎| 65552/70000 [23:13:23<1:35:50, 1.29s/step] Training: 94%|█████████▎| 65553/70000 [23:13:24<1:33:32, 1.26s/step] Training: 94%|█████████▎| 65554/70000 [23:13:25<1:35:07, 1.28s/step] Training: 94%|█████████▎| 65555/70000 [23:13:27<1:36:00, 1.30s/step] Training: 94%|█████████▎| 65556/70000 [23:13:28<1:33:38, 1.26s/step] Training: 94%|█████████▎| 65557/70000 [23:13:29<1:32:44, 1.25s/step] Training: 94%|█████████▎| 65558/70000 [23:13:30<1:31:16, 1.23s/step] Training: 94%|█████████▎| 65559/70000 [23:13:32<1:33:37, 1.26s/step] Training: 94%|█████████▎| 65560/70000 [23:13:33<1:32:46, 1.25s/step] Training: 94%|█████████▎| 65561/70000 [23:13:34<1:31:20, 1.23s/step] Training: 94%|█████████▎| 65562/70000 [23:13:35<1:33:31, 1.26s/step] Training: 94%|█████████▎| 65563/70000 [23:13:37<1:37:02, 1.31s/step] Training: 94%|█████████▎| 65564/70000 [23:13:38<1:34:15, 1.27s/step] Training: 94%|█████████▎| 65565/70000 [23:13:39<1:32:50, 1.26s/step] Training: 94%|█████████▎| 65566/70000 [23:13:41<1:31:21, 1.24s/step] Training: 94%|█████████▎| 65567/70000 [23:13:42<1:33:15, 1.26s/step] Training: 94%|█████████▎| 65568/70000 [23:13:43<1:32:11, 1.25s/step] Training: 94%|█████████▎| 65569/70000 [23:13:44<1:30:55, 1.23s/step] Training: 94%|█████████▎| 65570/70000 [23:13:45<1:30:29, 1.23s/step] Training: 94%|█████████▎| 65571/70000 [23:13:47<1:34:17, 1.28s/step] Training: 94%|█████████▎| 65572/70000 [23:13:48<1:32:19, 1.25s/step] Training: 94%|█████████▎| 65573/70000 [23:13:49<1:34:08, 1.28s/step] Training: 94%|█████████▎| 65574/70000 [23:13:51<1:32:15, 1.25s/step] Training: 94%|█████████▎| 65575/70000 [23:13:52<1:31:09, 1.24s/step] Training: 94%|█████████▎| 65576/70000 [23:13:53<1:33:01, 1.26s/step] Training: 94%|█████████▎| 65577/70000 [23:13:54<1:31:24, 1.24s/step] Training: 94%|█████████▎| 65578/70000 [23:13:56<1:33:25, 1.27s/step] Training: 94%|█████████▎| 65579/70000 [23:13:57<1:35:43, 1.30s/step] Training: 94%|█████████▎| 65580/70000 [23:13:58<1:36:36, 1.31s/step] Training: 94%|█████████▎| 65581/70000 [23:14:00<1:36:41, 1.31s/step] Training: 94%|█████████▎| 65582/70000 [23:14:01<1:33:54, 1.28s/step] Training: 94%|█████████▎| 65583/70000 [23:14:02<1:35:09, 1.29s/step] Training: 94%|█████████▎| 65584/70000 [23:14:03<1:35:58, 1.30s/step] Training: 94%|█████████▎| 65585/70000 [23:14:05<1:33:26, 1.27s/step] Training: 94%|█████████▎| 65586/70000 [23:14:06<1:34:50, 1.29s/step] Training: 94%|█████████▎| 65587/70000 [23:14:07<1:36:16, 1.31s/step] Training: 94%|█████████▎| 65588/70000 [23:14:09<1:33:24, 1.27s/step] Training: 94%|█████████▎| 65589/70000 [23:14:10<1:32:42, 1.26s/step] Training: 94%|█████████▎| 65590/70000 [23:14:11<1:31:06, 1.24s/step] Training: 94%|█████████▎| 65591/70000 [23:14:12<1:32:58, 1.27s/step] Training: 94%|█████████▎| 65592/70000 [23:14:14<1:32:09, 1.25s/step] Training: 94%|█████████▎| 65593/70000 [23:14:15<1:30:39, 1.23s/step] Training: 94%|█████████▎| 65594/70000 [23:14:16<1:32:34, 1.26s/step] Training: 94%|█████████▎| 65595/70000 [23:14:17<1:34:47, 1.29s/step] Training: 94%|█████████▎| 65596/70000 [23:14:19<1:35:47, 1.30s/step] Training: 94%|█████████▎| 65597/70000 [23:14:20<1:33:35, 1.28s/step] Training: 94%|█████████▎| 65598/70000 [23:14:21<1:31:40, 1.25s/step] Training: 94%|█████████▎| 65599/70000 [23:14:22<1:33:24, 1.27s/step] Training: 94%|█████████▎| 65600/70000 [23:14:24<1:32:01, 1.25s/step]INFO 2026-03-13 19:24:16 ot_train.py:435 step:66K smpl:4M ep:14K epch:55.60 loss:0.007 grdn:0.587 lr:1.2e-06 updt_s:1.246 data_s:0.019 Training: 94%|█████████▎| 65601/70000 [23:14:25<1:30:37, 1.24s/step] Training: 94%|█████████▎| 65602/70000 [23:14:26<1:31:47, 1.25s/step] Training: 94%|█████████▎| 65603/70000 [23:14:27<1:33:22, 1.27s/step] Training: 94%|█████████▎| 65604/70000 [23:14:29<1:34:59, 1.30s/step] Training: 94%|█████████▎| 65605/70000 [23:14:30<1:35:43, 1.31s/step] Training: 94%|█████████▎| 65606/70000 [23:14:31<1:33:09, 1.27s/step] Training: 94%|█████████▎| 65607/70000 [23:14:33<1:31:43, 1.25s/step] Training: 94%|█████████▎| 65608/70000 [23:14:34<1:33:20, 1.28s/step] Training: 94%|█████████▎| 65609/70000 [23:14:35<1:31:25, 1.25s/step] Training: 94%|█████████▎| 65610/70000 [23:14:36<1:33:25, 1.28s/step] Training: 94%|█████████▎| 65611/70000 [23:14:38<1:34:42, 1.29s/step] Training: 94%|█████████▎| 65612/70000 [23:14:39<1:32:22, 1.26s/step] Training: 94%|█████████▎| 65613/70000 [23:14:40<1:33:38, 1.28s/step] Training: 94%|█████████▎| 65614/70000 [23:14:41<1:31:39, 1.25s/step] Training: 94%|█████████▎| 65615/70000 [23:14:43<1:33:13, 1.28s/step] Training: 94%|█████████▎| 65616/70000 [23:14:44<1:34:30, 1.29s/step] Training: 94%|█████████▎| 65617/70000 [23:14:45<1:32:14, 1.26s/step] Training: 94%|█████████▎| 65618/70000 [23:14:47<1:33:53, 1.29s/step] Training: 94%|█████████▎| 65619/70000 [23:14:48<1:34:42, 1.30s/step] Training: 94%|█████████▎| 65620/70000 [23:14:49<1:33:47, 1.28s/step] Training: 94%|█████████▎| 65621/70000 [23:14:50<1:32:59, 1.27s/step] Training: 94%|█████████▎| 65622/70000 [23:14:52<1:31:04, 1.25s/step] Training: 94%|█████████▎| 65623/70000 [23:14:53<1:32:48, 1.27s/step] Training: 94%|█████████▎| 65624/70000 [23:14:54<1:31:58, 1.26s/step] Training: 94%|█████████▍| 65625/70000 [23:14:55<1:30:23, 1.24s/step] Training: 94%|█████████▍| 65626/70000 [23:14:57<1:32:55, 1.27s/step] Training: 94%|█████████▍| 65627/70000 [23:14:58<1:31:51, 1.26s/step] Training: 94%|█████████▍| 65628/70000 [23:14:59<1:33:03, 1.28s/step] Training: 94%|█████████▍| 65629/70000 [23:15:01<1:31:30, 1.26s/step] Training: 94%|█████████▍| 65630/70000 [23:15:02<1:30:11, 1.24s/step] Training: 94%|█████████▍| 65631/70000 [23:15:03<1:29:39, 1.23s/step] Training: 94%|█████████▍| 65632/70000 [23:15:04<1:29:11, 1.23s/step] Training: 94%|█████████▍| 65633/70000 [23:15:05<1:28:32, 1.22s/step] Training: 94%|█████████▍| 65634/70000 [23:15:07<1:28:55, 1.22s/step] Training: 94%|█████████▍| 65635/70000 [23:15:08<1:28:51, 1.22s/step] Training: 94%|█████████▍| 65636/70000 [23:15:09<1:28:09, 1.21s/step] Training: 94%|█████████▍| 65637/70000 [23:15:10<1:30:57, 1.25s/step] Training: 94%|█████████▍| 65638/70000 [23:15:12<1:31:46, 1.26s/step] Training: 94%|█████████▍| 65639/70000 [23:15:13<1:31:10, 1.25s/step] Training: 94%|█████████▍| 65640/70000 [23:15:14<1:32:53, 1.28s/step] Training: 94%|█████████▍| 65641/70000 [23:15:15<1:31:00, 1.25s/step] Training: 94%|█████████▍| 65642/70000 [23:15:17<1:32:40, 1.28s/step] Training: 94%|█████████▍| 65643/70000 [23:15:18<1:34:32, 1.30s/step] Training: 94%|█████████▍| 65644/70000 [23:15:19<1:32:00, 1.27s/step] Training: 94%|█████████▍| 65645/70000 [23:15:21<1:35:29, 1.32s/step] Training: 94%|█████████▍| 65646/70000 [23:15:22<1:32:40, 1.28s/step] Training: 94%|█████████▍| 65647/70000 [23:15:23<1:30:44, 1.25s/step] Training: 94%|█████████▍| 65648/70000 [23:15:25<1:34:55, 1.31s/step] Training: 94%|█████████▍| 65649/70000 [23:15:26<1:32:20, 1.27s/step] Training: 94%|█████████▍| 65650/70000 [23:15:27<1:33:45, 1.29s/step] Training: 94%|█████████▍| 65651/70000 [23:15:28<1:34:33, 1.30s/step] Training: 94%|█████████▍| 65652/70000 [23:15:30<1:31:58, 1.27s/step] Training: 94%|█████████▍| 65653/70000 [23:15:31<1:34:08, 1.30s/step] Training: 94%|█████████▍| 65654/70000 [23:15:32<1:31:28, 1.26s/step] Training: 94%|█████████▍| 65655/70000 [23:15:33<1:29:47, 1.24s/step] Training: 94%|█████████▍| 65656/70000 [23:15:35<1:29:34, 1.24s/step] Training: 94%|█████████▍| 65657/70000 [23:15:36<1:28:29, 1.22s/step] Training: 94%|█████████▍| 65658/70000 [23:15:37<1:31:34, 1.27s/step] Training: 94%|█████████▍| 65659/70000 [23:15:38<1:32:56, 1.28s/step] Training: 94%|█████████▍| 65660/70000 [23:15:40<1:30:51, 1.26s/step] Training: 94%|█████████▍| 65661/70000 [23:15:41<1:33:05, 1.29s/step] Training: 94%|█████████▍| 65662/70000 [23:15:42<1:30:46, 1.26s/step] Training: 94%|█████████▍| 65663/70000 [23:15:43<1:30:19, 1.25s/step] Training: 94%|█████████▍| 65664/70000 [23:15:45<1:29:21, 1.24s/step] Training: 94%|█████████▍| 65665/70000 [23:15:46<1:28:24, 1.22s/step] Training: 94%|█████████▍| 65666/70000 [23:15:47<1:28:07, 1.22s/step] Training: 94%|█████████▍| 65667/70000 [23:15:48<1:30:30, 1.25s/step] Training: 94%|█████████▍| 65668/70000 [23:15:50<1:29:05, 1.23s/step] Training: 94%|█████████▍| 65669/70000 [23:15:51<1:28:05, 1.22s/step] Training: 94%|█████████▍| 65670/70000 [23:15:52<1:30:36, 1.26s/step] Training: 94%|█████████▍| 65671/70000 [23:15:53<1:29:26, 1.24s/step] Training: 94%|█████████▍| 65672/70000 [23:15:55<1:31:28, 1.27s/step] Training: 94%|█████████▍| 65673/70000 [23:15:56<1:29:46, 1.24s/step] Training: 94%|█████████▍| 65674/70000 [23:15:57<1:31:41, 1.27s/step] Training: 94%|█████████▍| 65675/70000 [23:15:58<1:34:09, 1.31s/step] Training: 94%|█████████▍| 65676/70000 [23:16:00<1:31:37, 1.27s/step] Training: 94%|█████████▍| 65677/70000 [23:16:01<1:32:43, 1.29s/step] Training: 94%|█████████▍| 65678/70000 [23:16:02<1:33:54, 1.30s/step] Training: 94%|█████████▍| 65679/70000 [23:16:04<1:34:18, 1.31s/step] Training: 94%|█████████▍| 65680/70000 [23:16:05<1:34:33, 1.31s/step] Training: 94%|█████████▍| 65681/70000 [23:16:06<1:31:54, 1.28s/step] Training: 94%|█████████▍| 65682/70000 [23:16:08<1:33:02, 1.29s/step] Training: 94%|█████████▍| 65683/70000 [23:16:09<1:33:48, 1.30s/step] Training: 94%|█████████▍| 65684/70000 [23:16:10<1:31:19, 1.27s/step] Training: 94%|█████████▍| 65685/70000 [23:16:11<1:29:59, 1.25s/step] Training: 94%|█████████▍| 65686/70000 [23:16:13<1:31:32, 1.27s/step] Training: 94%|█████████▍| 65687/70000 [23:16:14<1:32:25, 1.29s/step] Training: 94%|█████████▍| 65688/70000 [23:16:15<1:31:17, 1.27s/step] Training: 94%|█████████▍| 65689/70000 [23:16:16<1:29:31, 1.25s/step] Training: 94%|█████████▍| 65690/70000 [23:16:18<1:32:12, 1.28s/step] Training: 94%|█████████▍| 65691/70000 [23:16:19<1:33:06, 1.30s/step] Training: 94%|█████████▍| 65692/70000 [23:16:20<1:30:42, 1.26s/step] Training: 94%|█████████▍| 65693/70000 [23:16:21<1:30:00, 1.25s/step] Training: 94%|█████████▍| 65694/70000 [23:16:23<1:32:00, 1.28s/step] Training: 94%|█████████▍| 65695/70000 [23:16:24<1:30:37, 1.26s/step] Training: 94%|█████████▍| 65696/70000 [23:16:25<1:29:30, 1.25s/step] Training: 94%|█████████▍| 65697/70000 [23:16:26<1:28:12, 1.23s/step] Training: 94%|█████████▍| 65698/70000 [23:16:28<1:27:46, 1.22s/step] Training: 94%|█████████▍| 65699/70000 [23:16:29<1:29:58, 1.26s/step] Training: 94%|█████████▍| 65700/70000 [23:16:30<1:28:34, 1.24s/step]INFO 2026-03-13 19:26:22 ot_train.py:435 step:66K smpl:4M ep:14K epch:55.69 loss:0.008 grdn:0.580 lr:1.2e-06 updt_s:1.244 data_s:0.019 Training: 94%|█████████▍| 65701/70000 [23:16:31<1:27:31, 1.22s/step] Training: 94%|█████████▍| 65702/70000 [23:16:33<1:29:52, 1.25s/step] Training: 94%|█████████▍| 65703/70000 [23:16:34<1:28:42, 1.24s/step] Training: 94%|█████████▍| 65704/70000 [23:16:35<1:30:38, 1.27s/step] Training: 94%|█████████▍| 65705/70000 [23:16:36<1:28:57, 1.24s/step] Training: 94%|█████████▍| 65706/70000 [23:16:38<1:30:53, 1.27s/step] Training: 94%|█████████▍| 65707/70000 [23:16:39<1:33:10, 1.30s/step] Training: 94%|█████████▍| 65708/70000 [23:16:40<1:30:41, 1.27s/step] Training: 94%|█████████▍| 65709/70000 [23:16:41<1:29:03, 1.25s/step] Training: 94%|█████████▍| 65710/70000 [23:16:43<1:27:51, 1.23s/step] Training: 94%|█████████▍| 65711/70000 [23:16:44<1:32:24, 1.29s/step] Training: 94%|█████████▍| 65712/70000 [23:16:45<1:33:21, 1.31s/step] Training: 94%|█████████▍| 65713/70000 [23:16:47<1:30:49, 1.27s/step] Training: 94%|█████████▍| 65714/70000 [23:16:48<1:32:08, 1.29s/step] Training: 94%|█████████▍| 65715/70000 [23:16:49<1:33:02, 1.30s/step] Training: 94%|█████████▍| 65716/70000 [23:16:50<1:30:32, 1.27s/step] Training: 94%|█████████▍| 65717/70000 [23:16:52<1:29:44, 1.26s/step] Training: 94%|█████████▍| 65718/70000 [23:16:53<1:28:20, 1.24s/step] Training: 94%|█████████▍| 65719/70000 [23:16:54<1:29:25, 1.25s/step] Training: 94%|█████████▍| 65720/70000 [23:16:55<1:30:53, 1.27s/step] Training: 94%|█████████▍| 65721/70000 [23:16:57<1:29:01, 1.25s/step] Training: 94%|█████████▍| 65722/70000 [23:16:58<1:31:09, 1.28s/step] Training: 94%|█████████▍| 65723/70000 [23:16:59<1:32:05, 1.29s/step] Training: 94%|█████████▍| 65724/70000 [23:17:01<1:29:49, 1.26s/step] Training: 94%|█████████▍| 65725/70000 [23:17:02<1:28:36, 1.24s/step] Training: 94%|█████████▍| 65726/70000 [23:17:03<1:27:27, 1.23s/step] Training: 94%|█████████▍| 65727/70000 [23:17:04<1:29:52, 1.26s/step] Training: 94%|█████████▍| 65728/70000 [23:17:06<1:30:01, 1.26s/step] Training: 94%|█████████▍| 65729/70000 [23:17:07<1:28:23, 1.24s/step] Training: 94%|█████████▍| 65730/70000 [23:17:08<1:28:08, 1.24s/step] Training: 94%|█████████▍| 65731/70000 [23:17:09<1:30:06, 1.27s/step] Training: 94%|█████████▍| 65732/70000 [23:17:10<1:28:27, 1.24s/step] Training: 94%|█████████▍| 65733/70000 [23:17:12<1:30:08, 1.27s/step] Training: 94%|█████████▍| 65734/70000 [23:17:13<1:28:29, 1.24s/step] Training: 94%|█████████▍| 65735/70000 [23:17:14<1:30:52, 1.28s/step] Training: 94%|█████████▍| 65736/70000 [23:17:16<1:31:34, 1.29s/step] Training: 94%|█████████▍| 65737/70000 [23:17:17<1:29:31, 1.26s/step] Training: 94%|█████████▍| 65738/70000 [23:17:18<1:31:04, 1.28s/step] Training: 94%|█████████▍| 65739/70000 [23:17:20<1:32:54, 1.31s/step] Training: 94%|█████████▍| 65740/70000 [23:17:21<1:30:19, 1.27s/step] Training: 94%|█████████▍| 65741/70000 [23:17:22<1:31:23, 1.29s/step] Training: 94%|█████████▍| 65742/70000 [23:17:23<1:29:16, 1.26s/step] Training: 94%|█████████▍| 65743/70000 [23:17:24<1:27:51, 1.24s/step] Training: 94%|█████████▍| 65744/70000 [23:17:26<1:32:12, 1.30s/step] Training: 94%|█████████▍| 65745/70000 [23:17:27<1:29:49, 1.27s/step] Training: 94%|█████████▍| 65746/70000 [23:17:28<1:31:05, 1.28s/step] Training: 94%|█████████▍| 65747/70000 [23:17:30<1:31:49, 1.30s/step] Training: 94%|█████████▍| 65748/70000 [23:17:31<1:29:32, 1.26s/step] Training: 94%|█████████▍| 65749/70000 [23:17:32<1:28:52, 1.25s/step] Training: 94%|█████████▍| 65750/70000 [23:17:33<1:27:22, 1.23s/step] Training: 94%|█████████▍| 65751/70000 [23:17:35<1:26:28, 1.22s/step] Training: 94%|█████████▍| 65752/70000 [23:17:36<1:29:04, 1.26s/step] Training: 94%|█████████▍| 65753/70000 [23:17:37<1:27:26, 1.24s/step] Training: 94%|█████████▍| 65754/70000 [23:17:38<1:29:45, 1.27s/step] Training: 94%|█████████▍| 65755/70000 [23:17:40<1:30:58, 1.29s/step] Training: 94%|█████████▍| 65756/70000 [23:17:41<1:29:00, 1.26s/step] Training: 94%|█████████▍| 65757/70000 [23:17:42<1:27:48, 1.24s/step] Training: 94%|█████████▍| 65758/70000 [23:17:43<1:26:42, 1.23s/step] Training: 94%|█████████▍| 65759/70000 [23:17:45<1:25:53, 1.22s/step] Training: 94%|█████████▍| 65760/70000 [23:17:46<1:27:07, 1.23s/step] Training: 94%|█████████▍| 65761/70000 [23:17:47<1:26:18, 1.22s/step] Training: 94%|█████████▍| 65762/70000 [23:17:48<1:26:22, 1.22s/step] Training: 94%|█████████▍| 65763/70000 [23:17:50<1:27:56, 1.25s/step] Training: 94%|█████████▍| 65764/70000 [23:17:51<1:29:20, 1.27s/step] Training: 94%|█████████▍| 65765/70000 [23:17:52<1:30:50, 1.29s/step] Training: 94%|█████████▍| 65766/70000 [23:17:53<1:28:43, 1.26s/step] Training: 94%|█████████▍| 65767/70000 [23:17:55<1:27:13, 1.24s/step] Training: 94%|█████████▍| 65768/70000 [23:17:56<1:29:10, 1.26s/step] Training: 94%|█████████▍| 65769/70000 [23:17:57<1:27:34, 1.24s/step] Training: 94%|█████████▍| 65770/70000 [23:17:58<1:29:19, 1.27s/step] Training: 94%|█████████▍| 65771/70000 [23:18:00<1:27:47, 1.25s/step] Training: 94%|█████████▍| 65772/70000 [23:18:01<1:28:56, 1.26s/step] Training: 94%|█████████▍| 65773/70000 [23:18:02<1:30:35, 1.29s/step] Training: 94%|█████████▍| 65774/70000 [23:18:03<1:28:38, 1.26s/step] Training: 94%|█████████▍| 65775/70000 [23:18:05<1:27:11, 1.24s/step] Training: 94%|█████████▍| 65776/70000 [23:18:06<1:29:01, 1.26s/step] Training: 94%|█████████▍| 65777/70000 [23:18:07<1:30:35, 1.29s/step] Training: 94%|█████████▍| 65778/70000 [23:18:09<1:31:15, 1.30s/step] Training: 94%|█████████▍| 65779/70000 [23:18:10<1:28:58, 1.26s/step] Training: 94%|█████████▍| 65780/70000 [23:18:11<1:27:23, 1.24s/step] Training: 94%|█████████▍| 65781/70000 [23:18:12<1:27:45, 1.25s/step] Training: 94%|█████████▍| 65782/70000 [23:18:13<1:26:31, 1.23s/step] Training: 94%|█████████▍| 65783/70000 [23:18:15<1:25:34, 1.22s/step] Training: 94%|█████████▍| 65784/70000 [23:18:16<1:25:38, 1.22s/step] Training: 94%|█████████▍| 65785/70000 [23:18:17<1:26:30, 1.23s/step] Training: 94%|█████████▍| 65786/70000 [23:18:18<1:28:21, 1.26s/step] Training: 94%|█████████▍| 65787/70000 [23:18:20<1:29:58, 1.28s/step] Training: 94%|█████████▍| 65788/70000 [23:18:21<1:30:29, 1.29s/step] Training: 94%|█████████▍| 65789/70000 [23:18:22<1:29:20, 1.27s/step] Training: 94%|█████████▍| 65790/70000 [23:18:23<1:27:34, 1.25s/step] Training: 94%|█████████▍| 65791/70000 [23:18:25<1:26:24, 1.23s/step] Training: 94%|█████████▍| 65792/70000 [23:18:26<1:26:21, 1.23s/step] Training: 94%|█████████▍| 65793/70000 [23:18:27<1:25:31, 1.22s/step] Training: 94%|█████████▍| 65794/70000 [23:18:28<1:28:05, 1.26s/step] Training: 94%|█████████▍| 65795/70000 [23:18:30<1:29:19, 1.27s/step] Training: 94%|█████████▍| 65796/70000 [23:18:31<1:30:29, 1.29s/step] Training: 94%|█████████▍| 65797/70000 [23:18:32<1:31:26, 1.31s/step] Training: 94%|█████████▍| 65798/70000 [23:18:34<1:28:56, 1.27s/step] Training: 94%|█████████▍| 65799/70000 [23:18:35<1:27:15, 1.25s/step] Training: 94%|█████████▍| 65800/70000 [23:18:36<1:29:10, 1.27s/step]INFO 2026-03-13 19:28:28 ot_train.py:435 step:66K smpl:4M ep:14K epch:55.77 loss:0.007 grdn:0.704 lr:1.2e-06 updt_s:1.239 data_s:0.019 Training: 94%|█████████▍| 65801/70000 [23:18:38<1:31:16, 1.30s/step] Training: 94%|█████████▍| 65802/70000 [23:18:39<1:31:34, 1.31s/step] Training: 94%|█████████▍| 65803/70000 [23:18:40<1:32:01, 1.32s/step] Training: 94%|█████████▍| 65804/70000 [23:18:41<1:29:33, 1.28s/step] Training: 94%|█████████▍| 65805/70000 [23:18:43<1:30:21, 1.29s/step] Training: 94%|█████████▍| 65806/70000 [23:18:44<1:28:15, 1.26s/step] Training: 94%|█████████▍| 65807/70000 [23:18:45<1:26:43, 1.24s/step] Training: 94%|█████████▍| 65808/70000 [23:18:46<1:28:41, 1.27s/step] Training: 94%|█████████▍| 65809/70000 [23:18:48<1:26:55, 1.24s/step] Training: 94%|█████████▍| 65810/70000 [23:18:49<1:31:25, 1.31s/step] Training: 94%|█████████▍| 65811/70000 [23:18:50<1:31:46, 1.31s/step] Training: 94%|█████████▍| 65812/70000 [23:18:52<1:32:02, 1.32s/step] Training: 94%|█████████▍| 65813/70000 [23:18:53<1:30:02, 1.29s/step] Training: 94%|█████████▍| 65814/70000 [23:18:54<1:27:55, 1.26s/step] Training: 94%|█████████▍| 65815/70000 [23:18:55<1:26:24, 1.24s/step] Training: 94%|█████████▍| 65816/70000 [23:18:57<1:26:07, 1.24s/step] Training: 94%|█████████▍| 65817/70000 [23:18:58<1:25:12, 1.22s/step] Training: 94%|█████████▍| 65818/70000 [23:18:59<1:29:27, 1.28s/step] Training: 94%|█████████▍| 65819/70000 [23:19:00<1:28:27, 1.27s/step] Training: 94%|█████████▍| 65820/70000 [23:19:02<1:29:43, 1.29s/step] Training: 94%|█████████▍| 65821/70000 [23:19:03<1:28:07, 1.27s/step] Training: 94%|█████████▍| 65822/70000 [23:19:04<1:26:33, 1.24s/step] Training: 94%|█████████▍| 65823/70000 [23:19:05<1:25:24, 1.23s/step] Training: 94%|█████████▍| 65824/70000 [23:19:07<1:25:22, 1.23s/step] Training: 94%|█████████▍| 65825/70000 [23:19:08<1:24:42, 1.22s/step] Training: 94%|█████████▍| 65826/70000 [23:19:09<1:26:50, 1.25s/step] Training: 94%|█████████▍| 65827/70000 [23:19:10<1:26:09, 1.24s/step] Training: 94%|█████████▍| 65828/70000 [23:19:12<1:28:04, 1.27s/step] Training: 94%|█████████▍| 65829/70000 [23:19:13<1:29:16, 1.28s/step] Training: 94%|█████████▍| 65830/70000 [23:19:14<1:27:16, 1.26s/step] Training: 94%|█████████▍| 65831/70000 [23:19:15<1:25:53, 1.24s/step] Training: 94%|█████████▍| 65832/70000 [23:19:17<1:27:41, 1.26s/step] Training: 94%|█████████▍| 65833/70000 [23:19:18<1:26:09, 1.24s/step] Training: 94%|█████████▍| 65834/70000 [23:19:19<1:26:43, 1.25s/step] Training: 94%|█████████▍| 65835/70000 [23:19:20<1:29:56, 1.30s/step] Training: 94%|█████████▍| 65836/70000 [23:19:22<1:28:08, 1.27s/step] Training: 94%|█████████▍| 65837/70000 [23:19:23<1:29:16, 1.29s/step] Training: 94%|█████████▍| 65838/70000 [23:19:24<1:27:11, 1.26s/step] Training: 94%|█████████▍| 65839/70000 [23:19:25<1:25:44, 1.24s/step] Training: 94%|█████████▍| 65840/70000 [23:19:27<1:27:34, 1.26s/step] Training: 94%|█████████▍| 65841/70000 [23:19:28<1:26:02, 1.24s/step] Training: 94%|█████████▍| 65842/70000 [23:19:29<1:27:41, 1.27s/step] Training: 94%|█████████▍| 65843/70000 [23:19:31<1:30:07, 1.30s/step] Training: 94%|█████████▍| 65844/70000 [23:19:32<1:30:39, 1.31s/step] Training: 94%|█████████▍| 65845/70000 [23:19:33<1:29:03, 1.29s/step] Training: 94%|█████████▍| 65846/70000 [23:19:34<1:27:01, 1.26s/step] Training: 94%|█████████▍| 65847/70000 [23:19:36<1:25:35, 1.24s/step] Training: 94%|█████████▍| 65848/70000 [23:19:37<1:25:21, 1.23s/step] Training: 94%|█████████▍| 65849/70000 [23:19:38<1:24:26, 1.22s/step] Training: 94%|█████████▍| 65850/70000 [23:19:39<1:26:30, 1.25s/step] Training: 94%|█████████▍| 65851/70000 [23:19:41<1:28:21, 1.28s/step] Training: 94%|█████████▍| 65852/70000 [23:19:42<1:29:10, 1.29s/step] Training: 94%|█████████▍| 65853/70000 [23:19:43<1:27:42, 1.27s/step] Training: 94%|█████████▍| 65854/70000 [23:19:44<1:26:06, 1.25s/step] Training: 94%|█████████▍| 65855/70000 [23:19:46<1:25:00, 1.23s/step] Training: 94%|█████████▍| 65856/70000 [23:19:47<1:25:04, 1.23s/step] Training: 94%|█████████▍| 65857/70000 [23:19:48<1:24:17, 1.22s/step] Training: 94%|█████████▍| 65858/70000 [23:19:49<1:26:22, 1.25s/step] Training: 94%|█████████▍| 65859/70000 [23:19:51<1:29:36, 1.30s/step] Training: 94%|█████████▍| 65860/70000 [23:19:52<1:30:31, 1.31s/step] Training: 94%|█████████▍| 65861/70000 [23:19:53<1:30:44, 1.32s/step] Training: 94%|█████████▍| 65862/70000 [23:19:55<1:28:06, 1.28s/step] Training: 94%|█████████▍| 65863/70000 [23:19:56<1:26:10, 1.25s/step] Training: 94%|█████████▍| 65864/70000 [23:19:57<1:27:45, 1.27s/step] Training: 94%|█████████▍| 65865/70000 [23:19:58<1:25:59, 1.25s/step] Training: 94%|█████████▍| 65866/70000 [23:19:59<1:25:00, 1.23s/step] Training: 94%|█████████▍| 65867/70000 [23:20:01<1:27:41, 1.27s/step] Training: 94%|█████████▍| 65868/70000 [23:20:02<1:26:19, 1.25s/step] Training: 94%|█████████▍| 65869/70000 [23:20:03<1:27:55, 1.28s/step] Training: 94%|█████████▍| 65870/70000 [23:20:05<1:26:04, 1.25s/step] Training: 94%|█████████▍| 65871/70000 [23:20:06<1:24:46, 1.23s/step] Training: 94%|█████████▍| 65872/70000 [23:20:07<1:26:50, 1.26s/step] Training: 94%|█████████▍| 65873/70000 [23:20:08<1:25:22, 1.24s/step] Training: 94%|█████████▍| 65874/70000 [23:20:10<1:27:14, 1.27s/step] Training: 94%|█████████▍| 65875/70000 [23:20:11<1:29:00, 1.29s/step] Training: 94%|█████████▍| 65876/70000 [23:20:12<1:30:11, 1.31s/step] Training: 94%|█████████▍| 65877/70000 [23:20:14<1:28:18, 1.29s/step] Training: 94%|█████████▍| 65878/70000 [23:20:15<1:26:17, 1.26s/step] Training: 94%|█████████▍| 65879/70000 [23:20:16<1:24:58, 1.24s/step] Training: 94%|█████████▍| 65880/70000 [23:20:17<1:24:45, 1.23s/step] Training: 94%|█████████▍| 65881/70000 [23:20:18<1:23:48, 1.22s/step] Training: 94%|█████████▍| 65882/70000 [23:20:20<1:25:54, 1.25s/step] Training: 94%|█████████▍| 65883/70000 [23:20:21<1:26:05, 1.25s/step] Training: 94%|█████████▍| 65884/70000 [23:20:22<1:30:11, 1.31s/step] Training: 94%|█████████▍| 65885/70000 [23:20:24<1:27:58, 1.28s/step] Training: 94%|█████████▍| 65886/70000 [23:20:25<1:26:00, 1.25s/step] Training: 94%|█████████▍| 65887/70000 [23:20:26<1:24:41, 1.24s/step] Training: 94%|█████████▍| 65888/70000 [23:20:27<1:24:08, 1.23s/step] Training: 94%|█████████▍| 65889/70000 [23:20:29<1:26:17, 1.26s/step] Training: 94%|█████████▍| 65890/70000 [23:20:30<1:27:37, 1.28s/step] Training: 94%|█████████▍| 65891/70000 [23:20:31<1:28:42, 1.30s/step] Training: 94%|█████████▍| 65892/70000 [23:20:33<1:29:41, 1.31s/step] Training: 94%|█████████▍| 65893/70000 [23:20:34<1:29:47, 1.31s/step] Training: 94%|█████████▍| 65894/70000 [23:20:35<1:27:17, 1.28s/step] Training: 94%|█████████▍| 65895/70000 [23:20:36<1:25:28, 1.25s/step] Training: 94%|█████████▍| 65896/70000 [23:20:38<1:27:08, 1.27s/step] Training: 94%|█████████▍| 65897/70000 [23:20:39<1:25:23, 1.25s/step] Training: 94%|█████████▍| 65898/70000 [23:20:40<1:24:50, 1.24s/step] Training: 94%|█████████▍| 65899/70000 [23:20:41<1:26:45, 1.27s/step] Training: 94%|█████████▍| 65900/70000 [23:20:43<1:25:35, 1.25s/step]INFO 2026-03-13 19:30:35 ot_train.py:435 step:66K smpl:4M ep:14K epch:55.86 loss:0.007 grdn:0.586 lr:1.2e-06 updt_s:1.243 data_s:0.019 Training: 94%|█████████▍| 65901/70000 [23:20:44<1:27:12, 1.28s/step] Training: 94%|█████████▍| 65902/70000 [23:20:45<1:25:22, 1.25s/step] Training: 94%|█████████▍| 65903/70000 [23:20:46<1:24:05, 1.23s/step] Training: 94%|█████████▍| 65904/70000 [23:20:48<1:26:10, 1.26s/step] Training: 94%|█████████▍| 65905/70000 [23:20:49<1:24:39, 1.24s/step] Training: 94%|█████████▍| 65906/70000 [23:20:50<1:26:35, 1.27s/step] Training: 94%|█████████▍| 65907/70000 [23:20:51<1:27:49, 1.29s/step] Training: 94%|█████████▍| 65908/70000 [23:20:53<1:29:38, 1.31s/step] Training: 94%|█████████▍| 65909/70000 [23:20:54<1:27:53, 1.29s/step] Training: 94%|█████████▍| 65910/70000 [23:20:55<1:25:51, 1.26s/step] Training: 94%|█████████▍| 65911/70000 [23:20:56<1:24:26, 1.24s/step] Training: 94%|█████████▍| 65912/70000 [23:20:58<1:27:31, 1.28s/step] Training: 94%|█████████▍| 65913/70000 [23:20:59<1:25:35, 1.26s/step] Training: 94%|█████████▍| 65914/70000 [23:21:00<1:27:15, 1.28s/step] Training: 94%|█████████▍| 65915/70000 [23:21:02<1:26:27, 1.27s/step] Training: 94%|█████████▍| 65916/70000 [23:21:03<1:27:30, 1.29s/step] Training: 94%|█████████▍| 65917/70000 [23:21:04<1:25:49, 1.26s/step] Training: 94%|█████████▍| 65918/70000 [23:21:05<1:24:20, 1.24s/step] Training: 94%|█████████▍| 65919/70000 [23:21:06<1:23:20, 1.23s/step] Training: 94%|█████████▍| 65920/70000 [23:21:08<1:25:20, 1.26s/step] Training: 94%|█████████▍| 65921/70000 [23:21:09<1:24:01, 1.24s/step] Training: 94%|█████████▍| 65922/70000 [23:21:10<1:24:13, 1.24s/step] Training: 94%|█████████▍| 65923/70000 [23:21:12<1:26:03, 1.27s/step] Training: 94%|█████████▍| 65924/70000 [23:21:13<1:25:35, 1.26s/step] Training: 94%|█████████▍| 65925/70000 [23:21:14<1:29:20, 1.32s/step] Training: 94%|█████████▍| 65926/70000 [23:21:15<1:26:42, 1.28s/step] Training: 94%|█████████▍| 65927/70000 [23:21:17<1:24:55, 1.25s/step] Training: 94%|█████████▍| 65928/70000 [23:21:18<1:26:27, 1.27s/step] Training: 94%|█████████▍| 65929/70000 [23:21:19<1:24:41, 1.25s/step] Training: 94%|█████████▍| 65930/70000 [23:21:20<1:23:42, 1.23s/step] Training: 94%|█████████▍| 65931/70000 [23:21:22<1:25:39, 1.26s/step] Training: 94%|█████████▍| 65932/70000 [23:21:23<1:26:36, 1.28s/step] Training: 94%|█████████▍| 65933/70000 [23:21:24<1:29:13, 1.32s/step] Training: 94%|█████████▍| 65934/70000 [23:21:26<1:26:35, 1.28s/step] Training: 94%|█████████▍| 65935/70000 [23:21:27<1:24:46, 1.25s/step] Training: 94%|█████████▍| 65936/70000 [23:21:28<1:26:25, 1.28s/step] Training: 94%|█████████▍| 65937/70000 [23:21:29<1:24:38, 1.25s/step] Training: 94%|█████████▍| 65938/70000 [23:21:31<1:26:14, 1.27s/step] Training: 94%|█████████▍| 65939/70000 [23:21:32<1:27:20, 1.29s/step] Training: 94%|█████████▍| 65940/70000 [23:21:33<1:29:25, 1.32s/step] Training: 94%|█████████▍| 65941/70000 [23:21:35<1:30:49, 1.34s/step] Training: 94%|█████████▍| 65942/70000 [23:21:36<1:27:24, 1.29s/step] Training: 94%|█████████▍| 65943/70000 [23:21:37<1:25:16, 1.26s/step] Training: 94%|█████████▍| 65944/70000 [23:21:38<1:27:16, 1.29s/step] Training: 94%|█████████▍| 65945/70000 [23:21:40<1:25:11, 1.26s/step] Training: 94%|█████████▍| 65946/70000 [23:21:41<1:26:32, 1.28s/step] Training: 94%|█████████▍| 65947/70000 [23:21:42<1:25:09, 1.26s/step] Training: 94%|█████████▍| 65948/70000 [23:21:44<1:26:50, 1.29s/step] Training: 94%|█████████▍| 65949/70000 [23:21:45<1:28:14, 1.31s/step] Training: 94%|█████████▍| 65950/70000 [23:21:46<1:25:35, 1.27s/step] Training: 94%|█████████▍| 65951/70000 [23:21:47<1:24:05, 1.25s/step] Training: 94%|█████████▍| 65952/70000 [23:21:49<1:25:45, 1.27s/step] Training: 94%|█████████▍| 65953/70000 [23:21:50<1:24:04, 1.25s/step] Training: 94%|█████████▍| 65954/70000 [23:21:51<1:23:44, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=56003 Training: 94%|█████████▍| 65955/70000 [23:21:52<1:25:30, 1.27s/step] Training: 94%|█████████▍| 65956/70000 [23:21:54<1:27:41, 1.30s/step] Training: 94%|█████████▍| 65957/70000 [23:21:55<1:28:09, 1.31s/step] Training: 94%|█████████▍| 65958/70000 [23:21:56<1:28:43, 1.32s/step] Training: 94%|█████████▍| 65959/70000 [23:21:58<1:25:56, 1.28s/step] Training: 94%|█████████▍| 65960/70000 [23:21:59<1:26:56, 1.29s/step] Training: 94%|█████████▍| 65961/70000 [23:22:00<1:24:53, 1.26s/step] Training: 94%|█████████▍| 65962/70000 [23:22:01<1:23:54, 1.25s/step] Training: 94%|█████████▍| 65963/70000 [23:22:03<1:25:42, 1.27s/step] Training: 94%|█████████▍| 65964/70000 [23:22:04<1:26:56, 1.29s/step] Training: 94%|█████████▍| 65965/70000 [23:22:05<1:27:34, 1.30s/step] Training: 94%|█████████▍| 65966/70000 [23:22:07<1:28:23, 1.31s/step] Training: 94%|█████████▍| 65967/70000 [23:22:08<1:25:40, 1.27s/step] Training: 94%|█████████▍| 65968/70000 [23:22:09<1:26:44, 1.29s/step] Training: 94%|█████████▍| 65969/70000 [23:22:10<1:24:43, 1.26s/step] Training: 94%|█████████▍| 65970/70000 [23:22:12<1:26:04, 1.28s/step] Training: 94%|█████████▍| 65971/70000 [23:22:13<1:26:58, 1.30s/step] Training: 94%|█████████▍| 65972/70000 [23:22:14<1:27:43, 1.31s/step] Training: 94%|█████████▍| 65973/70000 [23:22:16<1:26:09, 1.28s/step] Training: 94%|█████████▍| 65974/70000 [23:22:17<1:26:57, 1.30s/step] Training: 94%|█████████▍| 65975/70000 [23:22:18<1:24:37, 1.26s/step] Training: 94%|█████████▍| 65976/70000 [23:22:19<1:27:23, 1.30s/step] Training: 94%|█████████▍| 65977/70000 [23:22:21<1:25:06, 1.27s/step] Training: 94%|█████████▍| 65978/70000 [23:22:22<1:26:20, 1.29s/step] Training: 94%|█████████▍| 65979/70000 [23:22:23<1:24:49, 1.27s/step] Training: 94%|█████████▍| 65980/70000 [23:22:25<1:25:58, 1.28s/step] Training: 94%|█████████▍| 65981/70000 [23:22:26<1:24:33, 1.26s/step] Training: 94%|█████████▍| 65982/70000 [23:22:27<1:26:22, 1.29s/step] Training: 94%|█████████▍| 65983/70000 [23:22:28<1:24:11, 1.26s/step] Training: 94%|█████████▍| 65984/70000 [23:22:30<1:25:33, 1.28s/step] Training: 94%|█████████▍| 65985/70000 [23:22:31<1:23:46, 1.25s/step] Training: 94%|█████████▍| 65986/70000 [23:22:32<1:23:15, 1.24s/step] Training: 94%|█████████▍| 65987/70000 [23:22:33<1:25:16, 1.27s/step] Training: 94%|█████████▍| 65988/70000 [23:22:35<1:27:00, 1.30s/step] Training: 94%|█████████▍| 65989/70000 [23:22:36<1:27:36, 1.31s/step] Training: 94%|█████████▍| 65990/70000 [23:22:37<1:26:30, 1.29s/step] Training: 94%|█████████▍| 65991/70000 [23:22:39<1:24:15, 1.26s/step] Training: 94%|█████████▍| 65992/70000 [23:22:40<1:23:00, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=46376 Training: 94%|█████████▍| 65993/70000 [23:22:41<1:24:22, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=25038 Training: 94%|█████████▍| 65994/70000 [23:22:42<1:23:35, 1.25s/step] Training: 94%|█████████▍| 65995/70000 [23:22:44<1:25:22, 1.28s/step] Training: 94%|█████████▍| 65996/70000 [23:22:45<1:26:26, 1.30s/step] Training: 94%|█████████▍| 65997/70000 [23:22:46<1:27:07, 1.31s/step] Training: 94%|█████████▍| 65998/70000 [23:22:47<1:24:47, 1.27s/step] Training: 94%|█████████▍| 65999/70000 [23:22:49<1:26:09, 1.29s/step] Training: 94%|█████████▍| 66000/70000 [23:22:50<1:26:46, 1.30s/step]INFO 2026-03-13 19:32:42 ot_train.py:435 step:66K smpl:4M ep:14K epch:55.94 loss:0.007 grdn:0.641 lr:1.2e-06 updt_s:1.255 data_s:0.019 Training: 94%|█████████▍| 66001/70000 [23:22:51<1:24:32, 1.27s/step] Training: 94%|█████████▍| 66002/70000 [23:22:53<1:25:37, 1.29s/step] Training: 94%|█████████▍| 66003/70000 [23:22:54<1:26:31, 1.30s/step] Training: 94%|█████████▍| 66004/70000 [23:22:55<1:26:56, 1.31s/step] Training: 94%|█████████▍| 66005/70000 [23:22:57<1:25:25, 1.28s/step] Training: 94%|█████████▍| 66006/70000 [23:22:58<1:23:26, 1.25s/step] Training: 94%|█████████▍| 66007/70000 [23:22:59<1:24:40, 1.27s/step] Training: 94%|█████████▍| 66008/70000 [23:23:00<1:25:57, 1.29s/step] Training: 94%|█████████▍| 66009/70000 [23:23:02<1:23:50, 1.26s/step] Training: 94%|█████████▍| 66010/70000 [23:23:03<1:25:18, 1.28s/step] Training: 94%|█████████▍| 66011/70000 [23:23:04<1:23:26, 1.26s/step] Training: 94%|█████████▍| 66012/70000 [23:23:05<1:26:27, 1.30s/step] Training: 94%|█████████▍| 66013/70000 [23:23:07<1:24:38, 1.27s/step] Training: 94%|█████████▍| 66014/70000 [23:23:08<1:22:57, 1.25s/step] Training: 94%|█████████▍| 66015/70000 [23:23:09<1:24:58, 1.28s/step] Training: 94%|█████████▍| 66016/70000 [23:23:10<1:23:41, 1.26s/step] Training: 94%|█████████▍| 66017/70000 [23:23:12<1:25:10, 1.28s/step] Training: 94%|█████████▍| 66018/70000 [23:23:13<1:24:06, 1.27s/step] Training: 94%|█████████▍| 66019/70000 [23:23:14<1:22:30, 1.24s/step] Training: 94%|█████████▍| 66020/70000 [23:23:16<1:24:47, 1.28s/step] Training: 94%|█████████▍| 66021/70000 [23:23:17<1:25:49, 1.29s/step] Training: 94%|█████████▍| 66022/70000 [23:23:18<1:23:45, 1.26s/step] Training: 94%|█████████▍| 66023/70000 [23:23:19<1:22:15, 1.24s/step] Training: 94%|█████████▍| 66024/70000 [23:23:21<1:24:11, 1.27s/step] Training: 94%|█████████▍| 66025/70000 [23:23:22<1:24:54, 1.28s/step] Training: 94%|█████████▍| 66026/70000 [23:23:23<1:23:31, 1.26s/step] Training: 94%|█████████▍| 66027/70000 [23:23:24<1:22:50, 1.25s/step] Training: 94%|█████████▍| 66028/70000 [23:23:26<1:24:17, 1.27s/step] Training: 94%|█████████▍| 66029/70000 [23:23:27<1:25:27, 1.29s/step] Training: 94%|█████████▍| 66030/70000 [23:23:28<1:23:21, 1.26s/step] Training: 94%|█████████▍| 66031/70000 [23:23:29<1:21:55, 1.24s/step] Training: 94%|█████████▍| 66032/70000 [23:23:31<1:26:10, 1.30s/step] Training: 94%|█████████▍| 66033/70000 [23:23:32<1:23:54, 1.27s/step] Training: 94%|█████████▍| 66034/70000 [23:23:33<1:25:13, 1.29s/step] Training: 94%|█████████▍| 66035/70000 [23:23:35<1:23:57, 1.27s/step] Training: 94%|█████████▍| 66036/70000 [23:23:36<1:25:08, 1.29s/step] Training: 94%|█████████▍| 66037/70000 [23:23:37<1:23:46, 1.27s/step] Training: 94%|█████████▍| 66038/70000 [23:23:38<1:22:12, 1.25s/step] Training: 94%|█████████▍| 66039/70000 [23:23:40<1:21:10, 1.23s/step] Training: 94%|█████████▍| 66040/70000 [23:23:41<1:24:07, 1.27s/step] Training: 94%|█████████▍| 66041/70000 [23:23:42<1:22:14, 1.25s/step] Training: 94%|█████████▍| 66042/70000 [23:23:43<1:24:01, 1.27s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=56003 Training: 94%|█████████▍| 66043/70000 [23:23:45<1:25:35, 1.30s/step] Training: 94%|█████████▍| 66044/70000 [23:23:46<1:26:25, 1.31s/step] Training: 94%|█████████▍| 66045/70000 [23:23:47<1:24:32, 1.28s/step] Training: 94%|█████████▍| 66046/70000 [23:23:49<1:22:39, 1.25s/step] Training: 94%|█████████▍| 66047/70000 [23:23:50<1:21:24, 1.24s/step] Training: 94%|█████████▍| 66048/70000 [23:23:51<1:21:33, 1.24s/step] Training: 94%|█████████▍| 66049/70000 [23:23:52<1:23:40, 1.27s/step] Training: 94%|█████████▍| 66050/70000 [23:23:54<1:22:53, 1.26s/step] Training: 94%|█████████▍| 66051/70000 [23:23:55<1:24:13, 1.28s/step] Training: 94%|█████████▍| 66052/70000 [23:23:56<1:26:01, 1.31s/step] Training: 94%|█████████▍| 66053/70000 [23:23:58<1:26:17, 1.31s/step] Training: 94%|█████████▍| 66054/70000 [23:23:59<1:23:52, 1.28s/step] Training: 94%|█████████▍| 66055/70000 [23:24:00<1:22:06, 1.25s/step] Training: 94%|█████████▍| 66056/70000 [23:24:01<1:23:29, 1.27s/step] Training: 94%|█████████▍| 66057/70000 [23:24:03<1:24:49, 1.29s/step] Training: 94%|█████████▍| 66058/70000 [23:24:04<1:23:09, 1.27s/step] Training: 94%|█████████▍| 66059/70000 [23:24:05<1:22:22, 1.25s/step] Training: 94%|█████████▍| 66060/70000 [23:24:06<1:23:42, 1.27s/step] Training: 94%|█████████▍| 66061/70000 [23:24:08<1:24:35, 1.29s/step] Training: 94%|█████████▍| 66062/70000 [23:24:09<1:22:36, 1.26s/step] Training: 94%|█████████▍| 66063/70000 [23:24:10<1:21:10, 1.24s/step] Training: 94%|█████████▍| 66064/70000 [23:24:11<1:23:09, 1.27s/step] Training: 94%|█████████▍| 66065/70000 [23:24:13<1:21:32, 1.24s/step] Training: 94%|█████████▍| 66066/70000 [23:24:14<1:23:12, 1.27s/step] Training: 94%|█████████▍| 66067/70000 [23:24:15<1:22:10, 1.25s/step] Training: 94%|█████████▍| 66068/70000 [23:24:16<1:23:33, 1.28s/step] Training: 94%|█████████▍| 66069/70000 [23:24:18<1:22:39, 1.26s/step] Training: 94%|█████████▍| 66070/70000 [23:24:19<1:21:10, 1.24s/step] Training: 94%|█████████▍| 66071/70000 [23:24:20<1:20:10, 1.22s/step] Training: 94%|█████████▍| 66072/70000 [23:24:21<1:23:06, 1.27s/step] Training: 94%|█████████▍| 66073/70000 [23:24:23<1:22:32, 1.26s/step] Training: 94%|█████████▍| 66074/70000 [23:24:24<1:23:58, 1.28s/step] Training: 94%|█████████▍| 66075/70000 [23:24:25<1:24:53, 1.30s/step] Training: 94%|█████████▍| 66076/70000 [23:24:27<1:25:42, 1.31s/step] Training: 94%|█████████▍| 66077/70000 [23:24:28<1:24:00, 1.28s/step] Training: 94%|█████████▍| 66078/70000 [23:24:29<1:22:03, 1.26s/step] Training: 94%|█████████▍| 66079/70000 [23:24:30<1:20:42, 1.24s/step] Training: 94%|█████████▍| 66080/70000 [23:24:32<1:40:13, 1.53s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 94%|█████████▍| 66081/70000 [23:24:37<2:36:13, 2.39s/step] Training: 94%|█████████▍| 66082/70000 [23:24:38<2:18:45, 2.12s/step] Training: 94%|█████████▍| 66083/70000 [23:24:40<2:03:48, 1.90s/step] Training: 94%|█████████▍| 66084/70000 [23:24:41<1:54:52, 1.76s/step] Training: 94%|█████████▍| 66085/70000 [23:24:43<1:47:35, 1.65s/step] Training: 94%|█████████▍| 66086/70000 [23:24:44<1:38:41, 1.51s/step] Training: 94%|█████████▍| 66087/70000 [23:24:45<1:32:14, 1.41s/step] Training: 94%|█████████▍| 66088/70000 [23:24:46<1:31:13, 1.40s/step] Training: 94%|█████████▍| 66089/70000 [23:24:48<1:30:30, 1.39s/step] Training: 94%|█████████▍| 66090/70000 [23:24:49<1:26:57, 1.33s/step] Training: 94%|█████████▍| 66091/70000 [23:24:50<1:27:18, 1.34s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=43718 Training: 94%|█████████▍| 66092/70000 [23:24:52<1:27:30, 1.34s/step] Training: 94%|█████████▍| 66093/70000 [23:24:53<1:27:16, 1.34s/step] Training: 94%|█████████▍| 66094/70000 [23:24:54<1:24:20, 1.30s/step] Training: 94%|█████████▍| 66095/70000 [23:24:55<1:22:16, 1.26s/step] Training: 94%|█████████▍| 66096/70000 [23:24:57<1:23:39, 1.29s/step] Training: 94%|█████████▍| 66097/70000 [23:24:58<1:21:48, 1.26s/step] Training: 94%|█████████▍| 66098/70000 [23:24:59<1:25:10, 1.31s/step] Training: 94%|█████████▍| 66099/70000 [23:25:01<1:23:27, 1.28s/step] Training: 94%|█████████▍| 66100/70000 [23:25:02<1:22:25, 1.27s/step]INFO 2026-03-13 19:34:54 ot_train.py:435 step:66K smpl:4M ep:14K epch:56.03 loss:0.007 grdn:0.606 lr:1.2e-06 updt_s:1.253 data_s:0.061 Training: 94%|█████████▍| 66101/70000 [23:25:03<1:23:41, 1.29s/step] Training: 94%|█████████▍| 66102/70000 [23:25:04<1:21:45, 1.26s/step] Training: 94%|█████████▍| 66103/70000 [23:25:05<1:20:27, 1.24s/step] Training: 94%|█████████▍| 66104/70000 [23:25:07<1:22:55, 1.28s/step] Training: 94%|█████████▍| 66105/70000 [23:25:08<1:21:13, 1.25s/step] Training: 94%|█████████▍| 66106/70000 [23:25:09<1:24:31, 1.30s/step] Training: 94%|█████████▍| 66107/70000 [23:25:11<1:25:05, 1.31s/step] Training: 94%|█████████▍| 66108/70000 [23:25:12<1:25:11, 1.31s/step] Training: 94%|█████████▍| 66109/70000 [23:25:13<1:23:32, 1.29s/step] Training: 94%|█████████▍| 66110/70000 [23:25:15<1:21:42, 1.26s/step] Training: 94%|█████████▍| 66111/70000 [23:25:16<1:20:20, 1.24s/step] Training: 94%|█████████▍| 66112/70000 [23:25:17<1:22:32, 1.27s/step] Training: 94%|█████████▍| 66113/70000 [23:25:18<1:20:52, 1.25s/step] Training: 94%|█████████▍| 66114/70000 [23:25:20<1:22:27, 1.27s/step] Training: 94%|█████████▍| 66115/70000 [23:25:21<1:23:40, 1.29s/step] Training: 94%|█████████▍| 66116/70000 [23:25:22<1:24:34, 1.31s/step] Training: 94%|█████████▍| 66117/70000 [23:25:24<1:25:21, 1.32s/step] Training: 94%|█████████▍| 66118/70000 [23:25:25<1:22:52, 1.28s/step] Training: 94%|█████████▍| 66119/70000 [23:25:26<1:21:02, 1.25s/step] Training: 94%|█████████▍| 66120/70000 [23:25:27<1:22:27, 1.28s/step] Training: 94%|█████████▍| 66121/70000 [23:25:28<1:20:48, 1.25s/step] Training: 94%|█████████▍| 66122/70000 [23:25:30<1:20:46, 1.25s/step] Training: 94%|█████████▍| 66123/70000 [23:25:31<1:22:21, 1.27s/step] Training: 94%|█████████▍| 66124/70000 [23:25:32<1:23:42, 1.30s/step] Training: 94%|█████████▍| 66125/70000 [23:25:34<1:24:27, 1.31s/step] Training: 94%|█████████▍| 66126/70000 [23:25:35<1:22:06, 1.27s/step] Training: 94%|█████████▍| 66127/70000 [23:25:36<1:20:26, 1.25s/step] Training: 94%|█████████▍| 66128/70000 [23:25:37<1:22:03, 1.27s/step] Training: 94%|█████████▍| 66129/70000 [23:25:39<1:20:29, 1.25s/step] Training: 94%|█████████▍| 66130/70000 [23:25:40<1:22:13, 1.27s/step] Training: 94%|█████████▍| 66131/70000 [23:25:41<1:20:55, 1.26s/step] Training: 94%|█████████▍| 66132/70000 [23:25:42<1:20:31, 1.25s/step] Training: 94%|█████████▍| 66133/70000 [23:25:44<1:22:06, 1.27s/step] Training: 94%|█████████▍| 66134/70000 [23:25:45<1:20:27, 1.25s/step] Training: 94%|█████████▍| 66135/70000 [23:25:46<1:19:16, 1.23s/step] Training: 94%|█████████▍| 66136/70000 [23:25:48<1:21:44, 1.27s/step] Training: 94%|█████████▍| 66137/70000 [23:25:49<1:20:17, 1.25s/step] Training: 94%|█████████▍| 66138/70000 [23:25:50<1:21:52, 1.27s/step] Training: 94%|█████████▍| 66139/70000 [23:25:51<1:24:45, 1.32s/step] Training: 94%|█████████▍| 66140/70000 [23:25:53<1:24:59, 1.32s/step] Training: 94%|█████████▍| 66141/70000 [23:25:54<1:24:56, 1.32s/step] Training: 94%|█████████▍| 66142/70000 [23:25:55<1:22:16, 1.28s/step] Training: 94%|█████████▍| 66143/70000 [23:25:56<1:20:30, 1.25s/step] Training: 94%|█████████▍| 66144/70000 [23:25:58<1:21:47, 1.27s/step] Training: 94%|█████████▍| 66145/70000 [23:25:59<1:20:11, 1.25s/step] Training: 94%|█████████▍| 66146/70000 [23:26:00<1:21:37, 1.27s/step] Training: 94%|█████████▍| 66147/70000 [23:26:02<1:24:00, 1.31s/step] Training: 94%|█████████▍| 66148/70000 [23:26:03<1:24:27, 1.32s/step] Training: 94%|█████████▍| 66149/70000 [23:26:04<1:26:54, 1.35s/step] Training: 94%|█████████▍| 66150/70000 [23:26:06<1:23:52, 1.31s/step] Training: 95%|█████████▍| 66151/70000 [23:26:07<1:21:26, 1.27s/step] Training: 95%|█████████▍| 66152/70000 [23:26:08<1:22:41, 1.29s/step] Training: 95%|█████████▍| 66153/70000 [23:26:09<1:20:44, 1.26s/step] Training: 95%|█████████▍| 66154/70000 [23:26:11<1:19:47, 1.24s/step] Training: 95%|█████████▍| 66155/70000 [23:26:12<1:21:23, 1.27s/step] Training: 95%|█████████▍| 66156/70000 [23:26:13<1:24:05, 1.31s/step] Training: 95%|█████████▍| 66157/70000 [23:26:15<1:26:18, 1.35s/step] Training: 95%|█████████▍| 66158/70000 [23:26:16<1:23:14, 1.30s/step] Training: 95%|█████████▍| 66159/70000 [23:26:17<1:21:06, 1.27s/step] Training: 95%|█████████▍| 66160/70000 [23:26:18<1:22:25, 1.29s/step] Training: 95%|█████████▍| 66161/70000 [23:26:20<1:20:32, 1.26s/step] Training: 95%|█████████▍| 66162/70000 [23:26:21<1:21:55, 1.28s/step] Training: 95%|█████████▍| 66163/70000 [23:26:22<1:23:24, 1.30s/step] Training: 95%|█████████▍| 66164/70000 [23:26:24<1:21:32, 1.28s/step] Training: 95%|█████████▍| 66165/70000 [23:26:25<1:22:32, 1.29s/step] Training: 95%|█████████▍| 66166/70000 [23:26:26<1:20:35, 1.26s/step] Training: 95%|█████████▍| 66167/70000 [23:26:27<1:19:12, 1.24s/step] Training: 95%|█████████▍| 66168/70000 [23:26:29<1:21:26, 1.28s/step] Training: 95%|█████████▍| 66169/70000 [23:26:30<1:19:48, 1.25s/step] Training: 95%|█████████▍| 66170/70000 [23:26:31<1:18:33, 1.23s/step] Training: 95%|█████████▍| 66171/70000 [23:26:32<1:22:10, 1.29s/step] Training: 95%|█████████▍| 66172/70000 [23:26:34<1:24:29, 1.32s/step] Training: 95%|█████████▍| 66173/70000 [23:26:35<1:22:15, 1.29s/step] Training: 95%|█████████▍| 66174/70000 [23:26:36<1:20:22, 1.26s/step] Training: 95%|█████████▍| 66175/70000 [23:26:37<1:18:57, 1.24s/step] Training: 95%|█████████▍| 66176/70000 [23:26:39<1:20:36, 1.26s/step] Training: 95%|█████████▍| 66177/70000 [23:26:40<1:19:10, 1.24s/step] Training: 95%|█████████▍| 66178/70000 [23:26:41<1:18:15, 1.23s/step] Training: 95%|█████████▍| 66179/70000 [23:26:43<1:21:48, 1.28s/step] Training: 95%|█████████▍| 66180/70000 [23:26:44<1:24:43, 1.33s/step] Training: 95%|█████████▍| 66181/70000 [23:26:45<1:25:24, 1.34s/step] Training: 95%|█████████▍| 66182/70000 [23:26:47<1:22:29, 1.30s/step] Training: 95%|█████████▍| 66183/70000 [23:26:48<1:20:23, 1.26s/step] Training: 95%|█████████▍| 66184/70000 [23:26:49<1:19:20, 1.25s/step] Training: 95%|█████████▍| 66185/70000 [23:26:50<1:20:12, 1.26s/step] Training: 95%|█████████▍| 66186/70000 [23:26:51<1:18:56, 1.24s/step] Training: 95%|█████████▍| 66187/70000 [23:26:53<1:22:25, 1.30s/step] Training: 95%|█████████▍| 66188/70000 [23:26:54<1:22:58, 1.31s/step] Training: 95%|█████████▍| 66189/70000 [23:26:56<1:23:23, 1.31s/step] Training: 95%|█████████▍| 66190/70000 [23:26:57<1:21:04, 1.28s/step] Training: 95%|█████████▍| 66191/70000 [23:26:58<1:19:20, 1.25s/step] Training: 95%|█████████▍| 66192/70000 [23:26:59<1:20:51, 1.27s/step] Training: 95%|█████████▍| 66193/70000 [23:27:00<1:19:14, 1.25s/step] Training: 95%|█████████▍| 66194/70000 [23:27:02<1:20:43, 1.27s/step] Training: 95%|█████████▍| 66195/70000 [23:27:03<1:19:23, 1.25s/step] Training: 95%|█████████▍| 66196/70000 [23:27:04<1:19:39, 1.26s/step] Training: 95%|█████████▍| 66197/70000 [23:27:06<1:21:58, 1.29s/step] Training: 95%|█████████▍| 66198/70000 [23:27:07<1:20:01, 1.26s/step] Training: 95%|█████████▍| 66199/70000 [23:27:08<1:18:35, 1.24s/step] Training: 95%|█████████▍| 66200/70000 [23:27:09<1:20:31, 1.27s/step]INFO 2026-03-13 19:37:01 ot_train.py:435 step:66K smpl:4M ep:14K epch:56.11 loss:0.007 grdn:0.629 lr:1.2e-06 updt_s:1.255 data_s:0.019 Training: 95%|█████████▍| 66201/70000 [23:27:11<1:19:00, 1.25s/step] Training: 95%|█████████▍| 66202/70000 [23:27:12<1:20:32, 1.27s/step] Training: 95%|█████████▍| 66203/70000 [23:27:13<1:21:37, 1.29s/step] Training: 95%|█████████▍| 66204/70000 [23:27:15<1:22:10, 1.30s/step] Training: 95%|█████████▍| 66205/70000 [23:27:16<1:22:55, 1.31s/step] Training: 95%|█████████▍| 66206/70000 [23:27:17<1:20:35, 1.27s/step] Training: 95%|█████████▍| 66207/70000 [23:27:18<1:18:56, 1.25s/step] Training: 95%|█████████▍| 66208/70000 [23:27:20<1:19:26, 1.26s/step] Training: 95%|█████████▍| 66209/70000 [23:27:21<1:18:08, 1.24s/step] Training: 95%|█████████▍| 66210/70000 [23:27:22<1:18:07, 1.24s/step] Training: 95%|█████████▍| 66211/70000 [23:27:23<1:19:47, 1.26s/step] Training: 95%|█████████▍| 66212/70000 [23:27:25<1:20:57, 1.28s/step] Training: 95%|█████████▍| 66213/70000 [23:27:26<1:24:16, 1.34s/step] Training: 95%|█████████▍| 66214/70000 [23:27:27<1:21:30, 1.29s/step] Training: 95%|█████████▍| 66215/70000 [23:27:28<1:19:29, 1.26s/step] Training: 95%|█████████▍| 66216/70000 [23:27:30<1:18:43, 1.25s/step] Training: 95%|█████████▍| 66217/70000 [23:27:31<1:19:28, 1.26s/step] Training: 95%|█████████▍| 66218/70000 [23:27:32<1:18:29, 1.25s/step] Training: 95%|█████████▍| 66219/70000 [23:27:33<1:20:07, 1.27s/step] Training: 95%|█████████▍| 66220/70000 [23:27:35<1:19:08, 1.26s/step] Training: 95%|█████████▍| 66221/70000 [23:27:36<1:22:05, 1.30s/step] Training: 95%|█████████▍| 66222/70000 [23:27:37<1:19:51, 1.27s/step] Training: 95%|█████████▍| 66223/70000 [23:27:38<1:18:25, 1.25s/step] Training: 95%|█████████▍| 66224/70000 [23:27:40<1:19:56, 1.27s/step] Training: 95%|█████████▍| 66225/70000 [23:27:41<1:18:31, 1.25s/step] Training: 95%|█████████▍| 66226/70000 [23:27:42<1:20:08, 1.27s/step] Training: 95%|█████████▍| 66227/70000 [23:27:44<1:19:07, 1.26s/step] Training: 95%|█████████▍| 66228/70000 [23:27:45<1:17:48, 1.24s/step] Training: 95%|█████████▍| 66229/70000 [23:27:46<1:21:41, 1.30s/step] Training: 95%|█████████▍| 66230/70000 [23:27:47<1:19:19, 1.26s/step] Training: 95%|█████████▍| 66231/70000 [23:27:49<1:17:52, 1.24s/step] Training: 95%|█████████▍| 66232/70000 [23:27:50<1:19:48, 1.27s/step] Training: 95%|█████████▍| 66233/70000 [23:27:51<1:18:13, 1.25s/step] Training: 95%|█████████▍| 66234/70000 [23:27:52<1:19:39, 1.27s/step] Training: 95%|█████████▍| 66235/70000 [23:27:54<1:20:46, 1.29s/step] Training: 95%|█████████▍| 66236/70000 [23:27:55<1:18:53, 1.26s/step] Training: 95%|█████████▍| 66237/70000 [23:27:56<1:20:43, 1.29s/step] Training: 95%|█████████▍| 66238/70000 [23:27:57<1:18:45, 1.26s/step] Training: 95%|█████████▍| 66239/70000 [23:27:59<1:17:29, 1.24s/step] Training: 95%|█████████▍| 66240/70000 [23:28:00<1:17:30, 1.24s/step] Training: 95%|█████████▍| 66241/70000 [23:28:01<1:16:33, 1.22s/step] Training: 95%|█████████▍| 66242/70000 [23:28:02<1:16:45, 1.23s/step] Training: 95%|█████████▍| 66243/70000 [23:28:04<1:18:45, 1.26s/step] Training: 95%|█████████▍| 66244/70000 [23:28:05<1:18:11, 1.25s/step] Training: 95%|█████████▍| 66245/70000 [23:28:06<1:20:21, 1.28s/step] Training: 95%|█████████▍| 66246/70000 [23:28:08<1:21:22, 1.30s/step] Training: 95%|█████████▍| 66247/70000 [23:28:09<1:19:07, 1.26s/step] Training: 95%|█████████▍| 66248/70000 [23:28:10<1:18:23, 1.25s/step] Training: 95%|█████████▍| 66249/70000 [23:28:11<1:19:32, 1.27s/step] Training: 95%|█████████▍| 66250/70000 [23:28:13<1:18:23, 1.25s/step] Training: 95%|█████████▍| 66251/70000 [23:28:14<1:19:49, 1.28s/step] Training: 95%|█████████▍| 66252/70000 [23:28:15<1:18:19, 1.25s/step] Training: 95%|█████████▍| 66253/70000 [23:28:16<1:19:45, 1.28s/step] Training: 95%|█████████▍| 66254/70000 [23:28:18<1:20:53, 1.30s/step] Training: 95%|█████████▍| 66255/70000 [23:28:19<1:18:48, 1.26s/step] Training: 95%|█████████▍| 66256/70000 [23:28:20<1:17:23, 1.24s/step] Training: 95%|█████████▍| 66257/70000 [23:28:21<1:18:56, 1.27s/step] Training: 95%|█████████▍| 66258/70000 [23:28:23<1:20:15, 1.29s/step] Training: 95%|█████████▍| 66259/70000 [23:28:24<1:18:51, 1.26s/step] Training: 95%|█████████▍| 66260/70000 [23:28:25<1:20:13, 1.29s/step] Training: 95%|█████████▍| 66261/70000 [23:28:27<1:21:27, 1.31s/step] Training: 95%|█████████▍| 66262/70000 [23:28:28<1:21:41, 1.31s/step] Training: 95%|█████████▍| 66263/70000 [23:28:29<1:19:15, 1.27s/step] Training: 95%|█████████▍| 66264/70000 [23:28:30<1:20:20, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=59824 Training: 95%|█████████▍| 66265/70000 [23:28:32<1:20:20, 1.29s/step] Training: 95%|█████████▍| 66266/70000 [23:28:33<1:21:06, 1.30s/step] Training: 95%|█████████▍| 66267/70000 [23:28:34<1:21:40, 1.31s/step] Training: 95%|█████████▍| 66268/70000 [23:28:36<1:21:56, 1.32s/step] Training: 95%|█████████▍| 66269/70000 [23:28:37<1:22:07, 1.32s/step] Training: 95%|█████████▍| 66270/70000 [23:28:38<1:22:41, 1.33s/step] Training: 95%|█████████▍| 66271/70000 [23:28:40<1:19:50, 1.28s/step] Training: 95%|█████████▍| 66272/70000 [23:28:41<1:18:25, 1.26s/step] Training: 95%|█████████▍| 66273/70000 [23:28:42<1:17:00, 1.24s/step] Training: 95%|█████████▍| 66274/70000 [23:28:43<1:16:57, 1.24s/step] Training: 95%|█████████▍| 66275/70000 [23:28:45<1:18:44, 1.27s/step] Training: 95%|█████████▍| 66276/70000 [23:28:46<1:17:57, 1.26s/step] Training: 95%|█████████▍| 66277/70000 [23:28:47<1:17:32, 1.25s/step] Training: 95%|█████████▍| 66278/70000 [23:28:48<1:18:36, 1.27s/step] Training: 95%|█████████▍| 66279/70000 [23:28:50<1:17:06, 1.24s/step] Training: 95%|█████████▍| 66280/70000 [23:28:51<1:16:48, 1.24s/step] Training: 95%|█████████▍| 66281/70000 [23:28:52<1:15:48, 1.22s/step] Training: 95%|█████████▍| 66282/70000 [23:28:53<1:15:36, 1.22s/step] Training: 95%|█████████▍| 66283/70000 [23:28:55<1:17:32, 1.25s/step] Training: 95%|█████████▍| 66284/70000 [23:28:56<1:16:52, 1.24s/step] Training: 95%|█████████▍| 66285/70000 [23:28:57<1:16:16, 1.23s/step] Training: 95%|█████████▍| 66286/70000 [23:28:58<1:15:30, 1.22s/step] Training: 95%|█████████▍| 66287/70000 [23:28:59<1:17:42, 1.26s/step] Training: 95%|█████████▍| 66288/70000 [23:29:01<1:16:20, 1.23s/step] Training: 95%|█████████▍| 66289/70000 [23:29:02<1:17:51, 1.26s/step] Training: 95%|█████████▍| 66290/70000 [23:29:03<1:19:13, 1.28s/step] Training: 95%|█████████▍| 66291/70000 [23:29:05<1:17:41, 1.26s/step] Training: 95%|█████████▍| 66292/70000 [23:29:06<1:19:08, 1.28s/step] Training: 95%|█████████▍| 66293/70000 [23:29:07<1:20:45, 1.31s/step] Training: 95%|█████████▍| 66294/70000 [23:29:08<1:18:33, 1.27s/step] Training: 95%|█████████▍| 66295/70000 [23:29:10<1:19:38, 1.29s/step] Training: 95%|█████████▍| 66296/70000 [23:29:11<1:20:07, 1.30s/step] Training: 95%|█████████▍| 66297/70000 [23:29:12<1:18:36, 1.27s/step] Training: 95%|█████████▍| 66298/70000 [23:29:14<1:19:39, 1.29s/step] Training: 95%|█████████▍| 66299/70000 [23:29:15<1:20:17, 1.30s/step] Training: 95%|█████████▍| 66300/70000 [23:29:16<1:20:53, 1.31s/step]INFO 2026-03-13 19:39:08 ot_train.py:435 step:66K smpl:4M ep:14K epch:56.20 loss:0.007 grdn:0.883 lr:1.2e-06 updt_s:1.249 data_s:0.019 Training: 95%|█████████▍| 66301/70000 [23:29:18<1:21:05, 1.32s/step] Training: 95%|█████████▍| 66302/70000 [23:29:19<1:18:42, 1.28s/step] Training: 95%|█████████▍| 66303/70000 [23:29:20<1:20:08, 1.30s/step] Training: 95%|█████████▍| 66304/70000 [23:29:21<1:18:14, 1.27s/step] Training: 95%|█████████▍| 66305/70000 [23:29:23<1:19:25, 1.29s/step] Training: 95%|█████████▍| 66306/70000 [23:29:24<1:18:16, 1.27s/step] Training: 95%|█████████▍| 66307/70000 [23:29:25<1:19:14, 1.29s/step] Training: 95%|█████████▍| 66308/70000 [23:29:27<1:19:56, 1.30s/step] Training: 95%|█████████▍| 66309/70000 [23:29:28<1:21:23, 1.32s/step] Training: 95%|█████████▍| 66310/70000 [23:29:29<1:18:56, 1.28s/step] Training: 95%|█████████▍| 66311/70000 [23:29:30<1:17:18, 1.26s/step] Training: 95%|█████████▍| 66312/70000 [23:29:32<1:20:43, 1.31s/step] Training: 95%|█████████▍| 66313/70000 [23:29:33<1:20:55, 1.32s/step] Training: 95%|█████████▍| 66314/70000 [23:29:34<1:18:59, 1.29s/step] Training: 95%|█████████▍| 66315/70000 [23:29:36<1:19:37, 1.30s/step] Training: 95%|█████████▍| 66316/70000 [23:29:37<1:18:04, 1.27s/step] Training: 95%|█████████▍| 66317/70000 [23:29:38<1:19:17, 1.29s/step] Training: 95%|█████████▍| 66318/70000 [23:29:39<1:17:23, 1.26s/step] Training: 95%|█████████▍| 66319/70000 [23:29:41<1:16:05, 1.24s/step] Training: 95%|█████████▍| 66320/70000 [23:29:42<1:18:10, 1.27s/step] Training: 95%|█████████▍| 66321/70000 [23:29:43<1:17:00, 1.26s/step] Training: 95%|█████████▍| 66322/70000 [23:29:44<1:18:27, 1.28s/step] Training: 95%|█████████▍| 66323/70000 [23:29:46<1:17:11, 1.26s/step] Training: 95%|█████████▍| 66324/70000 [23:29:47<1:18:17, 1.28s/step] Training: 95%|█████████▍| 66325/70000 [23:29:48<1:19:55, 1.30s/step] Training: 95%|█████████▍| 66326/70000 [23:29:50<1:17:47, 1.27s/step] Training: 95%|█████████▍| 66327/70000 [23:29:51<1:16:20, 1.25s/step] Training: 95%|█████████▍| 66328/70000 [23:29:52<1:17:51, 1.27s/step] Training: 95%|█████████▍| 66329/70000 [23:29:53<1:16:45, 1.25s/step] Training: 95%|█████████▍| 66330/70000 [23:29:55<1:18:10, 1.28s/step] Training: 95%|█████████▍| 66331/70000 [23:29:56<1:19:03, 1.29s/step] Training: 95%|█████████▍| 66332/70000 [23:29:57<1:19:37, 1.30s/step] Training: 95%|█████████▍| 66333/70000 [23:29:59<1:19:59, 1.31s/step] Training: 95%|█████████▍| 66334/70000 [23:30:00<1:17:47, 1.27s/step] Training: 95%|█████████▍| 66335/70000 [23:30:01<1:16:26, 1.25s/step] Training: 95%|█████████▍| 66336/70000 [23:30:02<1:18:27, 1.28s/step] Training: 95%|█████████▍| 66337/70000 [23:30:04<1:19:10, 1.30s/step] Training: 95%|█████████▍| 66338/70000 [23:30:05<1:18:07, 1.28s/step] Training: 95%|█████████▍| 66339/70000 [23:30:06<1:16:28, 1.25s/step] Training: 95%|█████████▍| 66340/70000 [23:30:08<1:20:02, 1.31s/step] Training: 95%|█████████▍| 66341/70000 [23:30:09<1:20:42, 1.32s/step] Training: 95%|█████████▍| 66342/70000 [23:30:10<1:18:29, 1.29s/step] Training: 95%|█████████▍| 66343/70000 [23:30:11<1:16:50, 1.26s/step] Training: 95%|█████████▍| 66344/70000 [23:30:13<1:18:22, 1.29s/step] Training: 95%|█████████▍| 66345/70000 [23:30:14<1:18:59, 1.30s/step] Training: 95%|█████████▍| 66346/70000 [23:30:15<1:17:22, 1.27s/step] Training: 95%|█████████▍| 66347/70000 [23:30:16<1:16:01, 1.25s/step] Training: 95%|█████████▍| 66348/70000 [23:30:18<1:17:10, 1.27s/step] Training: 95%|█████████▍| 66349/70000 [23:30:19<1:18:19, 1.29s/step] Training: 95%|█████████▍| 66350/70000 [23:30:20<1:16:31, 1.26s/step] Training: 95%|█████████▍| 66351/70000 [23:30:21<1:15:12, 1.24s/step] Training: 95%|█████████▍| 66352/70000 [23:30:23<1:14:48, 1.23s/step] Training: 95%|█████████▍| 66353/70000 [23:30:24<1:17:02, 1.27s/step] Training: 95%|█████████▍| 66354/70000 [23:30:25<1:17:53, 1.28s/step] Training: 95%|█████████▍| 66355/70000 [23:30:26<1:16:12, 1.25s/step] Training: 95%|█████████▍| 66356/70000 [23:30:28<1:17:24, 1.27s/step] Training: 95%|█████████▍| 66357/70000 [23:30:29<1:19:15, 1.31s/step] Training: 95%|█████████▍| 66358/70000 [23:30:30<1:17:07, 1.27s/step] Training: 95%|█████████▍| 66359/70000 [23:30:32<1:15:36, 1.25s/step] Training: 95%|█████████▍| 66360/70000 [23:30:33<1:17:10, 1.27s/step] Training: 95%|█████████▍| 66361/70000 [23:30:34<1:17:31, 1.28s/step] Training: 95%|█████████▍| 66362/70000 [23:30:36<1:18:45, 1.30s/step] Training: 95%|█████████▍| 66363/70000 [23:30:37<1:16:49, 1.27s/step] Training: 95%|█████████▍| 66364/70000 [23:30:38<1:18:15, 1.29s/step] Training: 95%|█████████▍| 66365/70000 [23:30:39<1:18:51, 1.30s/step] Training: 95%|█████████▍| 66366/70000 [23:30:41<1:16:46, 1.27s/step] Training: 95%|█████████▍| 66367/70000 [23:30:42<1:15:20, 1.24s/step] Training: 95%|█████████▍| 66368/70000 [23:30:43<1:16:55, 1.27s/step] Training: 95%|█████████▍| 66369/70000 [23:30:44<1:17:58, 1.29s/step] Training: 95%|█████████▍| 66370/70000 [23:30:46<1:18:42, 1.30s/step] Training: 95%|█████████▍| 66371/70000 [23:30:47<1:16:35, 1.27s/step] Training: 95%|█████████▍| 66372/70000 [23:30:48<1:17:34, 1.28s/step] Training: 95%|█████████▍| 66373/70000 [23:30:50<1:19:21, 1.31s/step] Training: 95%|█████████▍| 66374/70000 [23:30:51<1:17:04, 1.28s/step] Training: 95%|█████████▍| 66375/70000 [23:30:52<1:15:31, 1.25s/step] Training: 95%|█████████▍| 66376/70000 [23:30:53<1:15:09, 1.24s/step] Training: 95%|█████████▍| 66377/70000 [23:30:55<1:17:06, 1.28s/step] Training: 95%|█████████▍| 66378/70000 [23:30:56<1:15:43, 1.25s/step] Training: 95%|█████████▍| 66379/70000 [23:30:57<1:14:42, 1.24s/step] Training: 95%|█████████▍| 66380/70000 [23:30:58<1:14:04, 1.23s/step] Training: 95%|█████████▍| 66381/70000 [23:31:00<1:18:08, 1.30s/step] Training: 95%|█████████▍| 66382/70000 [23:31:01<1:16:14, 1.26s/step] Training: 95%|█████████▍| 66383/70000 [23:31:02<1:14:55, 1.24s/step] Training: 95%|█████████▍| 66384/70000 [23:31:03<1:14:10, 1.23s/step] Training: 95%|█████████▍| 66385/70000 [23:31:04<1:14:05, 1.23s/step] Training: 95%|█████████▍| 66386/70000 [23:31:06<1:18:08, 1.30s/step] Training: 95%|█████████▍| 66387/70000 [23:31:07<1:16:20, 1.27s/step] Training: 95%|█████████▍| 66388/70000 [23:31:08<1:17:25, 1.29s/step] Training: 95%|█████████▍| 66389/70000 [23:31:10<1:18:50, 1.31s/step] Training: 95%|█████████▍| 66390/70000 [23:31:11<1:16:39, 1.27s/step] Training: 95%|█████████▍| 66391/70000 [23:31:12<1:15:03, 1.25s/step] Training: 95%|█████████▍| 66392/70000 [23:31:14<1:16:31, 1.27s/step] Training: 95%|█████████▍| 66393/70000 [23:31:15<1:15:39, 1.26s/step] Training: 95%|█████████▍| 66394/70000 [23:31:16<1:19:23, 1.32s/step] Training: 95%|█████████▍| 66395/70000 [23:31:17<1:17:09, 1.28s/step] Training: 95%|█████████▍| 66396/70000 [23:31:19<1:18:33, 1.31s/step] Training: 95%|█████████▍| 66397/70000 [23:31:20<1:18:53, 1.31s/step] Training: 95%|█████████▍| 66398/70000 [23:31:21<1:16:39, 1.28s/step] Training: 95%|█████████▍| 66399/70000 [23:31:23<1:15:01, 1.25s/step] Training: 95%|█████████▍| 66400/70000 [23:31:24<1:16:22, 1.27s/step]INFO 2026-03-13 19:41:16 ot_train.py:435 step:66K smpl:4M ep:14K epch:56.28 loss:0.007 grdn:0.556 lr:1.2e-06 updt_s:1.255 data_s:0.019 Training: 95%|█████████▍| 66401/70000 [23:31:25<1:17:31, 1.29s/step] Training: 95%|█████████▍| 66402/70000 [23:31:26<1:16:32, 1.28s/step] Training: 95%|█████████▍| 66403/70000 [23:31:28<1:15:05, 1.25s/step] Training: 95%|█████████▍| 66404/70000 [23:31:29<1:16:18, 1.27s/step] Training: 95%|█████████▍| 66405/70000 [23:31:30<1:17:48, 1.30s/step] Training: 95%|█████████▍| 66406/70000 [23:31:31<1:15:46, 1.26s/step] Training: 95%|█████████▍| 66407/70000 [23:31:33<1:14:27, 1.24s/step] Training: 95%|█████████▍| 66408/70000 [23:31:34<1:14:02, 1.24s/step] Training: 95%|█████████▍| 66409/70000 [23:31:35<1:15:35, 1.26s/step] Training: 95%|█████████▍| 66410/70000 [23:31:36<1:15:19, 1.26s/step] Training: 95%|█████████▍| 66411/70000 [23:31:38<1:14:08, 1.24s/step] Training: 95%|█████████▍| 66412/70000 [23:31:39<1:15:39, 1.27s/step] Training: 95%|█████████▍| 66413/70000 [23:31:40<1:16:42, 1.28s/step] Training: 95%|█████████▍| 66414/70000 [23:31:41<1:14:59, 1.25s/step] Training: 95%|█████████▍| 66415/70000 [23:31:43<1:13:50, 1.24s/step] Training: 95%|█████████▍| 66416/70000 [23:31:44<1:13:38, 1.23s/step] Training: 95%|█████████▍| 66417/70000 [23:31:45<1:13:39, 1.23s/step] Training: 95%|█████████▍| 66418/70000 [23:31:46<1:15:27, 1.26s/step] Training: 95%|█████████▍| 66419/70000 [23:31:48<1:16:52, 1.29s/step] Training: 95%|█████████▍| 66420/70000 [23:31:49<1:17:38, 1.30s/step] Training: 95%|█████████▍| 66421/70000 [23:31:51<1:18:40, 1.32s/step] Training: 95%|█████████▍| 66422/70000 [23:31:52<1:16:19, 1.28s/step] Training: 95%|█████████▍| 66423/70000 [23:31:53<1:14:38, 1.25s/step] Training: 95%|█████████▍| 66424/70000 [23:31:54<1:16:02, 1.28s/step] Training: 95%|█████████▍| 66425/70000 [23:31:55<1:15:11, 1.26s/step] Training: 95%|█████████▍| 66426/70000 [23:31:57<1:16:46, 1.29s/step] Training: 95%|█████████▍| 66427/70000 [23:31:58<1:14:45, 1.26s/step] Training: 95%|█████████▍| 66428/70000 [23:31:59<1:17:00, 1.29s/step] Training: 95%|█████████▍| 66429/70000 [23:32:01<1:17:35, 1.30s/step] Training: 95%|█████████▍| 66430/70000 [23:32:02<1:15:30, 1.27s/step] Training: 95%|█████████▍| 66431/70000 [23:32:03<1:14:01, 1.24s/step] Training: 95%|█████████▍| 66432/70000 [23:32:04<1:15:34, 1.27s/step] Training: 95%|█████████▍| 66433/70000 [23:32:06<1:14:09, 1.25s/step] Training: 95%|█████████▍| 66434/70000 [23:32:07<1:15:16, 1.27s/step] Training: 95%|█████████▍| 66435/70000 [23:32:08<1:16:44, 1.29s/step] Training: 95%|█████████▍| 66436/70000 [23:32:10<1:17:12, 1.30s/step] Training: 95%|█████████▍| 66437/70000 [23:32:11<1:18:23, 1.32s/step] Training: 95%|█████████▍| 66438/70000 [23:32:12<1:16:03, 1.28s/step] Training: 95%|█████████▍| 66439/70000 [23:32:13<1:14:22, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=17831 Training: 95%|█████████▍| 66440/70000 [23:32:15<1:13:54, 1.25s/step] Training: 95%|█████████▍| 66441/70000 [23:32:16<1:15:18, 1.27s/step] Training: 95%|█████████▍| 66442/70000 [23:32:17<1:14:45, 1.26s/step] Training: 95%|█████████▍| 66443/70000 [23:32:18<1:16:20, 1.29s/step] Training: 95%|█████████▍| 66444/70000 [23:32:20<1:16:49, 1.30s/step] Training: 95%|█████████▍| 66445/70000 [23:32:21<1:15:12, 1.27s/step] Training: 95%|█████████▍| 66446/70000 [23:32:22<1:16:13, 1.29s/step] Training: 95%|█████████▍| 66447/70000 [23:32:24<1:14:29, 1.26s/step] Training: 95%|█████████▍| 66448/70000 [23:32:25<1:13:38, 1.24s/step] Training: 95%|█████████▍| 66449/70000 [23:32:26<1:12:58, 1.23s/step] Training: 95%|█████████▍| 66450/70000 [23:32:27<1:12:03, 1.22s/step] Training: 95%|█████████▍| 66451/70000 [23:32:28<1:13:55, 1.25s/step] Training: 95%|█████████▍| 66452/70000 [23:32:30<1:15:26, 1.28s/step] Training: 95%|█████████▍| 66453/70000 [23:32:31<1:16:15, 1.29s/step] Training: 95%|█████████▍| 66454/70000 [23:32:32<1:16:30, 1.29s/step] Training: 95%|█████████▍| 66455/70000 [23:32:34<1:14:35, 1.26s/step] Training: 95%|█████████▍| 66456/70000 [23:32:35<1:15:44, 1.28s/step] Training: 95%|█████████▍| 66457/70000 [23:32:36<1:14:47, 1.27s/step] Training: 95%|█████████▍| 66458/70000 [23:32:37<1:13:23, 1.24s/step] Training: 95%|█████████▍| 66459/70000 [23:32:39<1:13:04, 1.24s/step] Training: 95%|█████████▍| 66460/70000 [23:32:40<1:15:33, 1.28s/step] Training: 95%|█████████▍| 66461/70000 [23:32:41<1:16:16, 1.29s/step] Training: 95%|█████████▍| 66462/70000 [23:32:42<1:14:25, 1.26s/step] Training: 95%|█████████▍| 66463/70000 [23:32:44<1:13:10, 1.24s/step] Training: 95%|█████████▍| 66464/70000 [23:32:45<1:14:37, 1.27s/step] Training: 95%|█████████▍| 66465/70000 [23:32:46<1:13:22, 1.25s/step] Training: 95%|█████████▍| 66466/70000 [23:32:47<1:14:28, 1.26s/step] Training: 95%|█████████▍| 66467/70000 [23:32:49<1:14:25, 1.26s/step] Training: 95%|█████████▍| 66468/70000 [23:32:50<1:15:28, 1.28s/step] Training: 95%|█████████▍| 66469/70000 [23:32:51<1:14:40, 1.27s/step] Training: 95%|█████████▍| 66470/70000 [23:32:53<1:15:07, 1.28s/step] Training: 95%|█████████▍| 66471/70000 [23:32:54<1:13:35, 1.25s/step] Training: 95%|█████████▍| 66472/70000 [23:32:55<1:13:23, 1.25s/step] Training: 95%|█████████▍| 66473/70000 [23:32:56<1:14:48, 1.27s/step] Training: 95%|█████████▍| 66474/70000 [23:32:58<1:13:42, 1.25s/step] Training: 95%|█████████▍| 66475/70000 [23:32:59<1:12:37, 1.24s/step] Training: 95%|█████████▍| 66476/70000 [23:33:00<1:15:59, 1.29s/step] Training: 95%|█████████▍| 66477/70000 [23:33:01<1:14:31, 1.27s/step] Training: 95%|█████████▍| 66478/70000 [23:33:03<1:15:39, 1.29s/step] Training: 95%|█████████▍| 66479/70000 [23:33:04<1:13:52, 1.26s/step] Training: 95%|█████████▍| 66480/70000 [23:33:05<1:13:21, 1.25s/step] Training: 95%|█████████▍| 66481/70000 [23:33:06<1:12:31, 1.24s/step] Training: 95%|█████████▍| 66482/70000 [23:33:08<1:14:05, 1.26s/step] Training: 95%|█████████▍| 66483/70000 [23:33:09<1:12:55, 1.24s/step] Training: 95%|█████████▍| 66484/70000 [23:33:10<1:15:41, 1.29s/step] Training: 95%|█████████▍| 66485/70000 [23:33:12<1:16:24, 1.30s/step] Training: 95%|█████████▍| 66486/70000 [23:33:13<1:14:41, 1.28s/step] Training: 95%|█████████▍| 66487/70000 [23:33:14<1:13:08, 1.25s/step] Training: 95%|█████████▍| 66488/70000 [23:33:15<1:14:41, 1.28s/step] Training: 95%|█████████▍| 66489/70000 [23:33:17<1:13:55, 1.26s/step] Training: 95%|█████████▍| 66490/70000 [23:33:18<1:15:07, 1.28s/step] Training: 95%|█████████▍| 66491/70000 [23:33:19<1:13:29, 1.26s/step] Training: 95%|█████████▍| 66492/70000 [23:33:20<1:14:48, 1.28s/step] Training: 95%|█████████▍| 66493/70000 [23:33:22<1:16:57, 1.32s/step] Training: 95%|█████████▍| 66494/70000 [23:33:23<1:17:07, 1.32s/step] Training: 95%|█████████▍| 66495/70000 [23:33:24<1:14:49, 1.28s/step] Training: 95%|█████████▍| 66496/70000 [23:33:26<1:15:42, 1.30s/step] Training: 95%|█████████▍| 66497/70000 [23:33:27<1:13:49, 1.26s/step] Training: 95%|█████████▍| 66498/70000 [23:33:28<1:14:38, 1.28s/step] Training: 95%|█████████▍| 66499/70000 [23:33:29<1:13:13, 1.25s/step] Training: 95%|█████████▌| 66500/70000 [23:33:31<1:14:52, 1.28s/step]INFO 2026-03-13 19:43:23 ot_train.py:435 step:66K smpl:4M ep:14K epch:56.37 loss:0.008 grdn:0.616 lr:1.2e-06 updt_s:1.249 data_s:0.019 Training: 95%|█████████▌| 66501/70000 [23:33:32<1:15:18, 1.29s/step] Training: 95%|█████████▌| 66502/70000 [23:33:33<1:16:05, 1.31s/step] Training: 95%|█████████▌| 66503/70000 [23:33:35<1:14:01, 1.27s/step] Training: 95%|█████████▌| 66504/70000 [23:33:36<1:13:21, 1.26s/step] Training: 95%|█████████▌| 66505/70000 [23:33:37<1:14:35, 1.28s/step] Training: 95%|█████████▌| 66506/70000 [23:33:38<1:13:25, 1.26s/step] Training: 95%|█████████▌| 66507/70000 [23:33:40<1:12:14, 1.24s/step] Training: 95%|█████████▌| 66508/70000 [23:33:41<1:11:40, 1.23s/step] Training: 95%|█████████▌| 66509/70000 [23:33:42<1:13:27, 1.26s/step] Training: 95%|█████████▌| 66510/70000 [23:33:43<1:12:01, 1.24s/step] Training: 95%|█████████▌| 66511/70000 [23:33:45<1:13:41, 1.27s/step] Training: 95%|█████████▌| 66512/70000 [23:33:46<1:12:38, 1.25s/step] Training: 95%|█████████▌| 66513/70000 [23:33:47<1:11:58, 1.24s/step] Training: 95%|█████████▌| 66514/70000 [23:33:48<1:13:37, 1.27s/step] Training: 95%|█████████▌| 66515/70000 [23:33:50<1:12:19, 1.25s/step] Training: 95%|█████████▌| 66516/70000 [23:33:51<1:13:42, 1.27s/step] Training: 95%|█████████▌| 66517/70000 [23:33:52<1:16:10, 1.31s/step] Training: 95%|█████████▌| 66518/70000 [23:33:53<1:14:00, 1.28s/step] Training: 95%|█████████▌| 66519/70000 [23:33:55<1:14:43, 1.29s/step] Training: 95%|█████████▌| 66520/70000 [23:33:56<1:15:24, 1.30s/step] Training: 95%|█████████▌| 66521/70000 [23:33:57<1:14:10, 1.28s/step] Training: 95%|█████████▌| 66522/70000 [23:33:59<1:14:57, 1.29s/step] Training: 95%|█████████▌| 66523/70000 [23:34:00<1:13:09, 1.26s/step] Training: 95%|█████████▌| 66524/70000 [23:34:01<1:14:14, 1.28s/step] Training: 95%|█████████▌| 66525/70000 [23:34:03<1:15:00, 1.30s/step] Training: 95%|█████████▌| 66526/70000 [23:34:04<1:15:41, 1.31s/step] Training: 95%|█████████▌| 66527/70000 [23:34:05<1:13:35, 1.27s/step] Training: 95%|█████████▌| 66528/70000 [23:34:06<1:14:34, 1.29s/step] Training: 95%|█████████▌| 66529/70000 [23:34:08<1:12:53, 1.26s/step] Training: 95%|█████████▌| 66530/70000 [23:34:09<1:13:59, 1.28s/step] Training: 95%|█████████▌| 66531/70000 [23:34:10<1:12:33, 1.25s/step] Training: 95%|█████████▌| 66532/70000 [23:34:11<1:14:14, 1.28s/step] Training: 95%|█████████▌| 66533/70000 [23:34:13<1:13:46, 1.28s/step] Training: 95%|█████████▌| 66534/70000 [23:34:14<1:14:42, 1.29s/step] Training: 95%|█████████▌| 66535/70000 [23:34:15<1:12:53, 1.26s/step] Training: 95%|█████████▌| 66536/70000 [23:34:16<1:12:19, 1.25s/step] Training: 95%|█████████▌| 66537/70000 [23:34:18<1:13:38, 1.28s/step] Training: 95%|█████████▌| 66538/70000 [23:34:19<1:12:24, 1.25s/step] Training: 95%|█████████▌| 66539/70000 [23:34:20<1:11:17, 1.24s/step] Training: 95%|█████████▌| 66540/70000 [23:34:21<1:10:50, 1.23s/step] Training: 95%|█████████▌| 66541/70000 [23:34:23<1:11:16, 1.24s/step] Training: 95%|█████████▌| 66542/70000 [23:34:24<1:10:52, 1.23s/step] Training: 95%|█████████▌| 66543/70000 [23:34:25<1:10:11, 1.22s/step] Training: 95%|█████████▌| 66544/70000 [23:34:26<1:10:10, 1.22s/step] Training: 95%|█████████▌| 66545/70000 [23:34:27<1:09:50, 1.21s/step] Training: 95%|█████████▌| 66546/70000 [23:34:29<1:11:47, 1.25s/step] Training: 95%|█████████▌| 66547/70000 [23:34:30<1:10:52, 1.23s/step] Training: 95%|█████████▌| 66548/70000 [23:34:31<1:12:23, 1.26s/step] Training: 95%|█████████▌| 66549/70000 [23:34:33<1:13:32, 1.28s/step] Training: 95%|█████████▌| 66550/70000 [23:34:34<1:14:33, 1.30s/step] Training: 95%|█████████▌| 66551/70000 [23:34:35<1:12:33, 1.26s/step] Training: 95%|█████████▌| 66552/70000 [23:34:37<1:13:44, 1.28s/step] Training: 95%|█████████▌| 66553/70000 [23:34:38<1:12:52, 1.27s/step] Training: 95%|█████████▌| 66554/70000 [23:34:39<1:13:45, 1.28s/step] Training: 95%|█████████▌| 66555/70000 [23:34:40<1:12:14, 1.26s/step] Training: 95%|█████████▌| 66556/70000 [23:34:42<1:13:20, 1.28s/step] Training: 95%|█████████▌| 66557/70000 [23:34:43<1:14:24, 1.30s/step] Training: 95%|█████████▌| 66558/70000 [23:34:44<1:16:21, 1.33s/step] Training: 95%|█████████▌| 66559/70000 [23:34:46<1:13:54, 1.29s/step] Training: 95%|█████████▌| 66560/70000 [23:34:47<1:14:47, 1.30s/step] Training: 95%|█████████▌| 66561/70000 [23:34:48<1:12:46, 1.27s/step] Training: 95%|█████████▌| 66562/70000 [23:34:49<1:13:44, 1.29s/step] Training: 95%|█████████▌| 66563/70000 [23:34:51<1:12:10, 1.26s/step] Training: 95%|█████████▌| 66564/70000 [23:34:52<1:13:45, 1.29s/step] Training: 95%|█████████▌| 66565/70000 [23:34:53<1:12:45, 1.27s/step] Training: 95%|█████████▌| 66566/70000 [23:34:54<1:13:43, 1.29s/step] Training: 95%|█████████▌| 66567/70000 [23:34:56<1:14:43, 1.31s/step] Training: 95%|█████████▌| 66568/70000 [23:34:57<1:13:23, 1.28s/step] Training: 95%|█████████▌| 66569/70000 [23:34:58<1:14:12, 1.30s/step] Training: 95%|█████████▌| 66570/70000 [23:35:00<1:12:37, 1.27s/step] Training: 95%|█████████▌| 66571/70000 [23:35:01<1:11:21, 1.25s/step] Training: 95%|█████████▌| 66572/70000 [23:35:02<1:10:33, 1.23s/step] Training: 95%|█████████▌| 66573/70000 [23:35:03<1:10:14, 1.23s/step] Training: 95%|█████████▌| 66574/70000 [23:35:05<1:13:07, 1.28s/step] Training: 95%|█████████▌| 66575/70000 [23:35:06<1:11:22, 1.25s/step] Training: 95%|█████████▌| 66576/70000 [23:35:07<1:10:57, 1.24s/step] Training: 95%|█████████▌| 66577/70000 [23:35:08<1:10:12, 1.23s/step] Training: 95%|█████████▌| 66578/70000 [23:35:10<1:11:52, 1.26s/step] Training: 95%|█████████▌| 66579/70000 [23:35:11<1:10:42, 1.24s/step] Training: 95%|█████████▌| 66580/70000 [23:35:12<1:12:12, 1.27s/step] Training: 95%|█████████▌| 66581/70000 [23:35:13<1:13:26, 1.29s/step] Training: 95%|█████████▌| 66582/70000 [23:35:15<1:11:58, 1.26s/step] Training: 95%|█████████▌| 66583/70000 [23:35:16<1:13:19, 1.29s/step] Training: 95%|█████████▌| 66584/70000 [23:35:17<1:11:28, 1.26s/step] Training: 95%|█████████▌| 66585/70000 [23:35:18<1:12:38, 1.28s/step] Training: 95%|█████████▌| 66586/70000 [23:35:20<1:13:31, 1.29s/step] Training: 95%|█████████▌| 66587/70000 [23:35:21<1:11:46, 1.26s/step] Training: 95%|█████████▌| 66588/70000 [23:35:22<1:12:52, 1.28s/step] Training: 95%|█████████▌| 66589/70000 [23:35:24<1:13:37, 1.30s/step] Training: 95%|█████████▌| 66590/70000 [23:35:25<1:14:16, 1.31s/step] Training: 95%|█████████▌| 66591/70000 [23:35:26<1:14:52, 1.32s/step] Training: 95%|█████████▌| 66592/70000 [23:35:28<1:14:55, 1.32s/step] Training: 95%|█████████▌| 66593/70000 [23:35:29<1:12:42, 1.28s/step] Training: 95%|█████████▌| 66594/70000 [23:35:30<1:13:17, 1.29s/step] Training: 95%|█████████▌| 66595/70000 [23:35:31<1:11:38, 1.26s/step] Training: 95%|█████████▌| 66596/70000 [23:35:33<1:14:19, 1.31s/step] Training: 95%|█████████▌| 66597/70000 [23:35:34<1:13:06, 1.29s/step] Training: 95%|█████████▌| 66598/70000 [23:35:35<1:13:44, 1.30s/step] Training: 95%|█████████▌| 66599/70000 [23:35:37<1:11:55, 1.27s/step] Training: 95%|█████████▌| 66600/70000 [23:35:38<1:11:04, 1.25s/step]INFO 2026-03-13 19:45:30 ot_train.py:435 step:67K smpl:4M ep:15K epch:56.45 loss:0.007 grdn:0.651 lr:1.1e-06 updt_s:1.250 data_s:0.018 Training: 95%|█████████▌| 66601/70000 [23:35:39<1:10:03, 1.24s/step] Training: 95%|█████████▌| 66602/70000 [23:35:40<1:09:35, 1.23s/step] Training: 95%|█████████▌| 66603/70000 [23:35:41<1:08:59, 1.22s/step] Training: 95%|█████████▌| 66604/70000 [23:35:43<1:10:52, 1.25s/step] Training: 95%|█████████▌| 66605/70000 [23:35:44<1:10:18, 1.24s/step] Training: 95%|█████████▌| 66606/70000 [23:35:45<1:10:04, 1.24s/step] Training: 95%|█████████▌| 66607/70000 [23:35:46<1:10:03, 1.24s/step] Training: 95%|█████████▌| 66608/70000 [23:35:48<1:09:51, 1.24s/step] Training: 95%|█████████▌| 66609/70000 [23:35:49<1:09:49, 1.24s/step] Training: 95%|█████████▌| 66610/70000 [23:35:50<1:11:23, 1.26s/step] Training: 95%|█████████▌| 66611/70000 [23:35:51<1:10:15, 1.24s/step] Training: 95%|█████████▌| 66612/70000 [23:35:53<1:11:36, 1.27s/step] Training: 95%|█████████▌| 66613/70000 [23:35:54<1:12:37, 1.29s/step] Training: 95%|█████████▌| 66614/70000 [23:35:55<1:12:26, 1.28s/step] Training: 95%|█████████▌| 66615/70000 [23:35:57<1:11:38, 1.27s/step] Training: 95%|█████████▌| 66616/70000 [23:35:58<1:10:11, 1.24s/step] Training: 95%|█████████▌| 66617/70000 [23:35:59<1:11:28, 1.27s/step] Training: 95%|█████████▌| 66618/70000 [23:36:00<1:12:29, 1.29s/step] Training: 95%|█████████▌| 66619/70000 [23:36:02<1:10:54, 1.26s/step] Training: 95%|█████████▌| 66620/70000 [23:36:03<1:12:06, 1.28s/step] Training: 95%|█████████▌| 66621/70000 [23:36:04<1:12:52, 1.29s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=71671 Training: 95%|█████████▌| 66622/70000 [23:36:06<1:13:12, 1.30s/step] Training: 95%|█████████▌| 66623/70000 [23:36:07<1:11:16, 1.27s/step] Training: 95%|█████████▌| 66624/70000 [23:36:08<1:14:17, 1.32s/step] Training: 95%|█████████▌| 66625/70000 [23:36:09<1:12:07, 1.28s/step] Training: 95%|█████████▌| 66626/70000 [23:36:11<1:12:43, 1.29s/step] Training: 95%|█████████▌| 66627/70000 [23:36:12<1:11:00, 1.26s/step] Training: 95%|█████████▌| 66628/70000 [23:36:13<1:12:06, 1.28s/step] Training: 95%|█████████▌| 66629/70000 [23:36:14<1:11:01, 1.26s/step] Training: 95%|█████████▌| 66630/70000 [23:36:16<1:09:45, 1.24s/step] Training: 95%|█████████▌| 66631/70000 [23:36:17<1:08:49, 1.23s/step] Training: 95%|█████████▌| 66632/70000 [23:36:18<1:09:37, 1.24s/step] Training: 95%|█████████▌| 66633/70000 [23:36:19<1:08:45, 1.23s/step] Training: 95%|█████████▌| 66634/70000 [23:36:21<1:09:23, 1.24s/step] Training: 95%|█████████▌| 66635/70000 [23:36:22<1:08:36, 1.22s/step] Training: 95%|█████████▌| 66636/70000 [23:36:23<1:10:25, 1.26s/step] Training: 95%|█████████▌| 66637/70000 [23:36:24<1:09:41, 1.24s/step] Training: 95%|█████████▌| 66638/70000 [23:36:26<1:10:43, 1.26s/step] Training: 95%|█████████▌| 66639/70000 [23:36:27<1:09:30, 1.24s/step] Training: 95%|█████████▌| 66640/70000 [23:36:28<1:09:17, 1.24s/step] Training: 95%|█████████▌| 66641/70000 [23:36:29<1:11:12, 1.27s/step] Training: 95%|█████████▌| 66642/70000 [23:36:31<1:11:57, 1.29s/step] Training: 95%|█████████▌| 66643/70000 [23:36:32<1:10:20, 1.26s/step] Training: 95%|█████████▌| 66644/70000 [23:36:33<1:11:32, 1.28s/step] Training: 95%|█████████▌| 66645/70000 [23:36:35<1:12:14, 1.29s/step] Training: 95%|█████████▌| 66646/70000 [23:36:36<1:12:55, 1.30s/step] Training: 95%|█████████▌| 66647/70000 [23:36:37<1:10:56, 1.27s/step] Training: 95%|█████████▌| 66648/70000 [23:36:38<1:12:22, 1.30s/step] Training: 95%|█████████▌| 66649/70000 [23:36:40<1:10:25, 1.26s/step] Training: 95%|█████████▌| 66650/70000 [23:36:41<1:11:43, 1.28s/step] Training: 95%|█████████▌| 66651/70000 [23:36:42<1:10:06, 1.26s/step] Training: 95%|█████████▌| 66652/70000 [23:36:43<1:11:07, 1.27s/step] Training: 95%|█████████▌| 66653/70000 [23:36:45<1:12:03, 1.29s/step] Training: 95%|█████████▌| 66654/70000 [23:36:46<1:11:49, 1.29s/step] Training: 95%|█████████▌| 66655/70000 [23:36:47<1:10:11, 1.26s/step] Training: 95%|█████████▌| 66656/70000 [23:36:48<1:09:06, 1.24s/step] Training: 95%|█████████▌| 66657/70000 [23:36:50<1:10:37, 1.27s/step] Training: 95%|█████████▌| 66658/70000 [23:36:51<1:12:07, 1.29s/step] Training: 95%|█████████▌| 66659/70000 [23:36:52<1:10:21, 1.26s/step] Training: 95%|█████████▌| 66660/70000 [23:36:54<1:11:28, 1.28s/step] Training: 95%|█████████▌| 66661/70000 [23:36:55<1:10:20, 1.26s/step] Training: 95%|█████████▌| 66662/70000 [23:36:56<1:09:06, 1.24s/step] Training: 95%|█████████▌| 66663/70000 [23:36:57<1:08:10, 1.23s/step] Training: 95%|█████████▌| 66664/70000 [23:36:58<1:08:24, 1.23s/step] Training: 95%|█████████▌| 66665/70000 [23:37:00<1:10:32, 1.27s/step] Training: 95%|█████████▌| 66666/70000 [23:37:01<1:11:33, 1.29s/step] Training: 95%|█████████▌| 66667/70000 [23:37:02<1:09:53, 1.26s/step] Training: 95%|█████████▌| 66668/70000 [23:37:04<1:11:01, 1.28s/step] Training: 95%|█████████▌| 66669/70000 [23:37:05<1:09:49, 1.26s/step] Training: 95%|█████████▌| 66670/70000 [23:37:06<1:08:47, 1.24s/step] Training: 95%|█████████▌| 66671/70000 [23:37:07<1:07:54, 1.22s/step] Training: 95%|█████████▌| 66672/70000 [23:37:08<1:07:40, 1.22s/step] Training: 95%|█████████▌| 66673/70000 [23:37:10<1:07:13, 1.21s/step] Training: 95%|█████████▌| 66674/70000 [23:37:11<1:09:19, 1.25s/step] Training: 95%|█████████▌| 66675/70000 [23:37:12<1:08:18, 1.23s/step] Training: 95%|█████████▌| 66676/70000 [23:37:14<1:09:50, 1.26s/step] Training: 95%|█████████▌| 66677/70000 [23:37:15<1:10:53, 1.28s/step] Training: 95%|█████████▌| 66678/70000 [23:37:16<1:09:54, 1.26s/step] Training: 95%|█████████▌| 66679/70000 [23:37:17<1:08:41, 1.24s/step] Training: 95%|█████████▌| 66680/70000 [23:37:19<1:10:14, 1.27s/step] Training: 95%|█████████▌| 66681/70000 [23:37:20<1:10:02, 1.27s/step] Training: 95%|█████████▌| 66682/70000 [23:37:21<1:11:09, 1.29s/step] Training: 95%|█████████▌| 66683/70000 [23:37:22<1:09:29, 1.26s/step] Training: 95%|█████████▌| 66684/70000 [23:37:24<1:10:35, 1.28s/step] Training: 95%|█████████▌| 66685/70000 [23:37:25<1:11:18, 1.29s/step] Training: 95%|█████████▌| 66686/70000 [23:37:26<1:10:00, 1.27s/step] Training: 95%|█████████▌| 66687/70000 [23:37:27<1:08:42, 1.24s/step] Training: 95%|█████████▌| 66688/70000 [23:37:29<1:10:06, 1.27s/step] Training: 95%|█████████▌| 66689/70000 [23:37:30<1:09:47, 1.26s/step] Training: 95%|█████████▌| 66690/70000 [23:37:31<1:11:19, 1.29s/step] Training: 95%|█████████▌| 66691/70000 [23:37:33<1:09:34, 1.26s/step] Training: 95%|█████████▌| 66692/70000 [23:37:34<1:10:33, 1.28s/step] Training: 95%|█████████▌| 66693/70000 [23:37:35<1:11:22, 1.29s/step] Training: 95%|█████████▌| 66694/70000 [23:37:37<1:12:07, 1.31s/step] Training: 95%|█████████▌| 66695/70000 [23:37:38<1:10:05, 1.27s/step] Training: 95%|█████████▌| 66696/70000 [23:37:39<1:09:40, 1.27s/step] Training: 95%|█████████▌| 66697/70000 [23:37:40<1:08:24, 1.24s/step] Training: 95%|█████████▌| 66698/70000 [23:37:42<1:11:11, 1.29s/step] Training: 95%|█████████▌| 66699/70000 [23:37:43<1:09:28, 1.26s/step] Training: 95%|█████████▌| 66700/70000 [23:37:44<1:10:41, 1.29s/step]INFO 2026-03-13 19:47:36 ot_train.py:435 step:67K smpl:4M ep:15K epch:56.54 loss:0.007 grdn:0.562 lr:1.1e-06 updt_s:1.243 data_s:0.019 Training: 95%|█████████▌| 66701/70000 [23:37:45<1:09:26, 1.26s/step] Training: 95%|█████████▌| 66702/70000 [23:37:47<1:10:33, 1.28s/step] Training: 95%|█████████▌| 66703/70000 [23:37:48<1:09:01, 1.26s/step] Training: 95%|█████████▌| 66704/70000 [23:37:49<1:08:19, 1.24s/step] Training: 95%|█████████▌| 66705/70000 [23:37:50<1:07:27, 1.23s/step] Training: 95%|█████████▌| 66706/70000 [23:37:52<1:10:52, 1.29s/step] Training: 95%|█████████▌| 66707/70000 [23:37:53<1:09:11, 1.26s/step] Training: 95%|█████████▌| 66708/70000 [23:37:54<1:10:08, 1.28s/step] Training: 95%|█████████▌| 66709/70000 [23:37:56<1:11:01, 1.29s/step] Training: 95%|█████████▌| 66710/70000 [23:37:57<1:09:55, 1.28s/step] Training: 95%|█████████▌| 66711/70000 [23:37:58<1:08:25, 1.25s/step] Training: 95%|█████████▌| 66712/70000 [23:37:59<1:07:23, 1.23s/step] Training: 95%|█████████▌| 66713/70000 [23:38:00<1:08:55, 1.26s/step] Training: 95%|█████████▌| 66714/70000 [23:38:02<1:10:25, 1.29s/step] Training: 95%|█████████▌| 66715/70000 [23:38:03<1:08:34, 1.25s/step] Training: 95%|█████████▌| 66716/70000 [23:38:04<1:09:43, 1.27s/step] Training: 95%|█████████▌| 66717/70000 [23:38:06<1:10:39, 1.29s/step] Training: 95%|█████████▌| 66718/70000 [23:38:07<1:09:28, 1.27s/step] Training: 95%|█████████▌| 66719/70000 [23:38:08<1:08:06, 1.25s/step] Training: 95%|█████████▌| 66720/70000 [23:38:09<1:09:21, 1.27s/step] Training: 95%|█████████▌| 66721/70000 [23:38:11<1:08:01, 1.24s/step] Training: 95%|█████████▌| 66722/70000 [23:38:12<1:10:30, 1.29s/step] Training: 95%|█████████▌| 66723/70000 [23:38:13<1:08:40, 1.26s/step] Training: 95%|█████████▌| 66724/70000 [23:38:14<1:09:55, 1.28s/step] Training: 95%|█████████▌| 66725/70000 [23:38:16<1:10:48, 1.30s/step] Training: 95%|█████████▌| 66726/70000 [23:38:17<1:11:27, 1.31s/step] Training: 95%|█████████▌| 66727/70000 [23:38:18<1:09:32, 1.27s/step] Training: 95%|█████████▌| 66728/70000 [23:38:20<1:08:25, 1.25s/step] Training: 95%|█████████▌| 66729/70000 [23:38:21<1:07:26, 1.24s/step] Training: 95%|█████████▌| 66730/70000 [23:38:22<1:08:47, 1.26s/step] Training: 95%|█████████▌| 66731/70000 [23:38:23<1:10:02, 1.29s/step] Training: 95%|█████████▌| 66732/70000 [23:38:25<1:10:31, 1.29s/step] Training: 95%|█████████▌| 66733/70000 [23:38:26<1:09:26, 1.28s/step] Training: 95%|█████████▌| 66734/70000 [23:38:27<1:10:18, 1.29s/step] Training: 95%|█████████▌| 66735/70000 [23:38:28<1:08:36, 1.26s/step] Training: 95%|█████████▌| 66736/70000 [23:38:30<1:08:03, 1.25s/step] Training: 95%|█████████▌| 66737/70000 [23:38:31<1:07:01, 1.23s/step] Training: 95%|█████████▌| 66738/70000 [23:38:32<1:08:40, 1.26s/step] Training: 95%|█████████▌| 66739/70000 [23:38:34<1:09:58, 1.29s/step] Training: 95%|█████████▌| 66740/70000 [23:38:35<1:10:24, 1.30s/step] Training: 95%|█████████▌| 66741/70000 [23:38:36<1:10:47, 1.30s/step] Training: 95%|█████████▌| 66742/70000 [23:38:37<1:09:31, 1.28s/step] Training: 95%|█████████▌| 66743/70000 [23:38:39<1:07:58, 1.25s/step] Training: 95%|█████████▌| 66744/70000 [23:38:40<1:06:53, 1.23s/step] Training: 95%|█████████▌| 66745/70000 [23:38:41<1:08:21, 1.26s/step] Training: 95%|█████████▌| 66746/70000 [23:38:42<1:09:37, 1.28s/step] Training: 95%|█████████▌| 66747/70000 [23:38:44<1:08:41, 1.27s/step] Training: 95%|█████████▌| 66748/70000 [23:38:45<1:09:38, 1.28s/step] Training: 95%|█████████▌| 66749/70000 [23:38:46<1:10:19, 1.30s/step] Training: 95%|█████████▌| 66750/70000 [23:38:48<1:08:52, 1.27s/step] Training: 95%|█████████▌| 66751/70000 [23:38:49<1:07:33, 1.25s/step] Training: 95%|█████████▌| 66752/70000 [23:38:50<1:06:40, 1.23s/step] Training: 95%|█████████▌| 66753/70000 [23:38:51<1:05:55, 1.22s/step] Training: 95%|█████████▌| 66754/70000 [23:38:53<1:08:14, 1.26s/step] Training: 95%|█████████▌| 66755/70000 [23:38:54<1:08:00, 1.26s/step] Training: 95%|█████████▌| 66756/70000 [23:38:55<1:08:57, 1.28s/step] Training: 95%|█████████▌| 66757/70000 [23:38:56<1:07:34, 1.25s/step] Training: 95%|█████████▌| 66758/70000 [23:38:58<1:10:38, 1.31s/step] Training: 95%|█████████▌| 66759/70000 [23:38:59<1:08:42, 1.27s/step] Training: 95%|█████████▌| 66760/70000 [23:39:00<1:09:17, 1.28s/step] Training: 95%|█████████▌| 66761/70000 [23:39:01<1:07:44, 1.26s/step] Training: 95%|█████████▌| 66762/70000 [23:39:03<1:08:49, 1.28s/step] Training: 95%|█████████▌| 66763/70000 [23:39:04<1:07:28, 1.25s/step] Training: 95%|█████████▌| 66764/70000 [23:39:05<1:08:54, 1.28s/step] Training: 95%|█████████▌| 66765/70000 [23:39:06<1:07:17, 1.25s/step] Training: 95%|█████████▌| 66766/70000 [23:39:08<1:10:33, 1.31s/step] Training: 95%|█████████▌| 66767/70000 [23:39:09<1:08:37, 1.27s/step] Training: 95%|█████████▌| 66768/70000 [23:39:10<1:09:25, 1.29s/step] Training: 95%|█████████▌| 66769/70000 [23:39:12<1:07:47, 1.26s/step] Training: 95%|█████████▌| 66770/70000 [23:39:13<1:08:57, 1.28s/step] Training: 95%|█████████▌| 66771/70000 [23:39:14<1:07:32, 1.25s/step] Training: 95%|█████████▌| 66772/70000 [23:39:16<1:09:42, 1.30s/step] Training: 95%|█████████▌| 66773/70000 [23:39:17<1:10:10, 1.30s/step] Training: 95%|█████████▌| 66774/70000 [23:39:18<1:08:54, 1.28s/step] Training: 95%|█████████▌| 66775/70000 [23:39:19<1:07:19, 1.25s/step] Training: 95%|█████████▌| 66776/70000 [23:39:20<1:06:39, 1.24s/step] Training: 95%|█████████▌| 66777/70000 [23:39:22<1:05:50, 1.23s/step] Training: 95%|█████████▌| 66778/70000 [23:39:23<1:07:28, 1.26s/step] Training: 95%|█████████▌| 66779/70000 [23:39:24<1:06:19, 1.24s/step] Training: 95%|█████████▌| 66780/70000 [23:39:25<1:07:49, 1.26s/step] Training: 95%|█████████▌| 66781/70000 [23:39:27<1:10:41, 1.32s/step] Training: 95%|█████████▌| 66782/70000 [23:39:28<1:09:06, 1.29s/step] Training: 95%|█████████▌| 66783/70000 [23:39:29<1:07:28, 1.26s/step] Training: 95%|█████████▌| 66784/70000 [23:39:31<1:08:27, 1.28s/step] Training: 95%|█████████▌| 66785/70000 [23:39:32<1:07:01, 1.25s/step] Training: 95%|█████████▌| 66786/70000 [23:39:33<1:08:41, 1.28s/step] Training: 95%|█████████▌| 66787/70000 [23:39:34<1:07:11, 1.25s/step] Training: 95%|█████████▌| 66788/70000 [23:39:36<1:09:01, 1.29s/step] Training: 95%|█████████▌| 66789/70000 [23:39:37<1:07:45, 1.27s/step] Training: 95%|█████████▌| 66790/70000 [23:39:38<1:08:57, 1.29s/step] Training: 95%|█████████▌| 66791/70000 [23:39:40<1:07:19, 1.26s/step] Training: 95%|█████████▌| 66792/70000 [23:39:41<1:08:28, 1.28s/step] Training: 95%|█████████▌| 66793/70000 [23:39:42<1:07:01, 1.25s/step] Training: 95%|█████████▌| 66794/70000 [23:39:43<1:08:04, 1.27s/step] Training: 95%|█████████▌| 66795/70000 [23:39:45<1:06:41, 1.25s/step] Training: 95%|█████████▌| 66796/70000 [23:39:46<1:06:45, 1.25s/step] Training: 95%|█████████▌| 66797/70000 [23:39:47<1:08:21, 1.28s/step] Training: 95%|█████████▌| 66798/70000 [23:39:48<1:08:58, 1.29s/step] Training: 95%|█████████▌| 66799/70000 [23:39:50<1:07:19, 1.26s/step] Training: 95%|█████████▌| 66800/70000 [23:39:51<1:08:20, 1.28s/step]INFO 2026-03-13 19:49:43 ot_train.py:435 step:67K smpl:4M ep:15K epch:56.62 loss:0.007 grdn:0.544 lr:1.1e-06 updt_s:1.248 data_s:0.019 Training: 95%|█████████▌| 66801/70000 [23:39:52<1:06:53, 1.25s/step] Training: 95%|█████████▌| 66802/70000 [23:39:53<1:05:58, 1.24s/step] Training: 95%|█████████▌| 66803/70000 [23:39:55<1:07:09, 1.26s/step] Training: 95%|█████████▌| 66804/70000 [23:39:56<1:08:11, 1.28s/step] Training: 95%|█████████▌| 66805/70000 [23:39:57<1:09:11, 1.30s/step] Training: 95%|█████████▌| 66806/70000 [23:39:59<1:08:29, 1.29s/step] Training: 95%|█████████▌| 66807/70000 [23:40:00<1:06:52, 1.26s/step] Training: 95%|█████████▌| 66808/70000 [23:40:01<1:06:08, 1.24s/step] Training: 95%|█████████▌| 66809/70000 [23:40:02<1:05:21, 1.23s/step] Training: 95%|█████████▌| 66810/70000 [23:40:04<1:06:59, 1.26s/step] Training: 95%|█████████▌| 66811/70000 [23:40:05<1:05:49, 1.24s/step] Training: 95%|█████████▌| 66812/70000 [23:40:06<1:07:19, 1.27s/step] Training: 95%|█████████▌| 66813/70000 [23:40:07<1:06:03, 1.24s/step] Training: 95%|█████████▌| 66814/70000 [23:40:08<1:05:30, 1.23s/step] Training: 95%|█████████▌| 66815/70000 [23:40:10<1:04:53, 1.22s/step] Training: 95%|█████████▌| 66816/70000 [23:40:11<1:06:37, 1.26s/step] Training: 95%|█████████▌| 66817/70000 [23:40:12<1:06:02, 1.24s/step] Training: 95%|█████████▌| 66818/70000 [23:40:14<1:08:04, 1.28s/step] Training: 95%|█████████▌| 66819/70000 [23:40:15<1:06:34, 1.26s/step] Training: 95%|█████████▌| 66820/70000 [23:40:16<1:07:37, 1.28s/step] Training: 95%|█████████▌| 66821/70000 [23:40:17<1:07:10, 1.27s/step] Training: 95%|█████████▌| 66822/70000 [23:40:19<1:08:13, 1.29s/step] Training: 95%|█████████▌| 66823/70000 [23:40:20<1:06:39, 1.26s/step] Training: 95%|█████████▌| 66824/70000 [23:40:21<1:07:36, 1.28s/step] Training: 95%|█████████▌| 66825/70000 [23:40:22<1:06:12, 1.25s/step] Training: 95%|█████████▌| 66826/70000 [23:40:24<1:06:04, 1.25s/step] Training: 95%|█████████▌| 66827/70000 [23:40:25<1:05:09, 1.23s/step] Training: 95%|█████████▌| 66828/70000 [23:40:26<1:05:19, 1.24s/step] Training: 95%|█████████▌| 66829/70000 [23:40:27<1:05:17, 1.24s/step] Training: 95%|█████████▌| 66830/70000 [23:40:29<1:06:45, 1.26s/step] Training: 95%|█████████▌| 66831/70000 [23:40:30<1:05:33, 1.24s/step] Training: 95%|█████████▌| 66832/70000 [23:40:31<1:06:53, 1.27s/step] Training: 95%|█████████▌| 66833/70000 [23:40:32<1:05:39, 1.24s/step] Training: 95%|█████████▌| 66834/70000 [23:40:34<1:07:07, 1.27s/step] Training: 95%|█████████▌| 66835/70000 [23:40:35<1:05:48, 1.25s/step] Training: 95%|█████████▌| 66836/70000 [23:40:36<1:06:58, 1.27s/step] Training: 95%|█████████▌| 66837/70000 [23:40:38<1:08:05, 1.29s/step] Training: 95%|█████████▌| 66838/70000 [23:40:39<1:08:59, 1.31s/step] Training: 95%|█████████▌| 66839/70000 [23:40:40<1:06:57, 1.27s/step] Training: 95%|█████████▌| 66840/70000 [23:40:41<1:05:51, 1.25s/step] Training: 95%|█████████▌| 66841/70000 [23:40:42<1:04:51, 1.23s/step] Training: 95%|█████████▌| 66842/70000 [23:40:44<1:06:23, 1.26s/step] Training: 95%|█████████▌| 66843/70000 [23:40:45<1:05:20, 1.24s/step] Training: 95%|█████████▌| 66844/70000 [23:40:46<1:06:34, 1.27s/step] Training: 95%|█████████▌| 66845/70000 [23:40:48<1:07:32, 1.28s/step] Training: 95%|█████████▌| 66846/70000 [23:40:49<1:08:04, 1.30s/step] Training: 95%|█████████▌| 66847/70000 [23:40:50<1:06:23, 1.26s/step] Training: 95%|█████████▌| 66848/70000 [23:40:51<1:07:21, 1.28s/step] Training: 95%|█████████▌| 66849/70000 [23:40:53<1:05:51, 1.25s/step] Training: 96%|█████████▌| 66850/70000 [23:40:54<1:07:37, 1.29s/step] Training: 96%|█████████▌| 66851/70000 [23:40:55<1:06:04, 1.26s/step] Training: 96%|█████████▌| 66852/70000 [23:40:57<1:07:03, 1.28s/step] Training: 96%|█████████▌| 66853/70000 [23:40:58<1:06:11, 1.26s/step] Training: 96%|█████████▌| 66854/70000 [23:40:59<1:07:33, 1.29s/step] Training: 96%|█████████▌| 66855/70000 [23:41:00<1:05:47, 1.26s/step] Training: 96%|█████████▌| 66856/70000 [23:41:02<1:06:56, 1.28s/step] Training: 96%|█████████▌| 66857/70000 [23:41:03<1:05:34, 1.25s/step] Training: 96%|█████████▌| 66858/70000 [23:41:04<1:05:38, 1.25s/step] Training: 96%|█████████▌| 66859/70000 [23:41:05<1:04:39, 1.24s/step] Training: 96%|█████████▌| 66860/70000 [23:41:07<1:04:54, 1.24s/step] Training: 96%|█████████▌| 66861/70000 [23:41:08<1:04:26, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=59824 Training: 96%|█████████▌| 66862/70000 [23:41:09<1:06:31, 1.27s/step] Training: 96%|█████████▌| 66863/70000 [23:41:10<1:05:05, 1.24s/step] Training: 96%|█████████▌| 66864/70000 [23:41:12<1:06:26, 1.27s/step] Training: 96%|█████████▌| 66865/70000 [23:41:13<1:05:12, 1.25s/step] Training: 96%|█████████▌| 66866/70000 [23:41:14<1:06:22, 1.27s/step] Training: 96%|█████████▌| 66867/70000 [23:41:15<1:05:04, 1.25s/step] Training: 96%|█████████▌| 66868/70000 [23:41:17<1:06:21, 1.27s/step] Training: 96%|█████████▌| 66869/70000 [23:41:18<1:07:10, 1.29s/step] Training: 96%|█████████▌| 66870/70000 [23:41:19<1:05:49, 1.26s/step] Training: 96%|█████████▌| 66871/70000 [23:41:21<1:07:03, 1.29s/step] Training: 96%|█████████▌| 66872/70000 [23:41:22<1:05:44, 1.26s/step] Training: 96%|█████████▌| 66873/70000 [23:41:23<1:04:36, 1.24s/step] Training: 96%|█████████▌| 66874/70000 [23:41:24<1:06:01, 1.27s/step] Training: 96%|█████████▌| 66875/70000 [23:41:25<1:04:47, 1.24s/step] Training: 96%|█████████▌| 66876/70000 [23:41:27<1:06:08, 1.27s/step] Training: 96%|█████████▌| 66877/70000 [23:41:28<1:06:54, 1.29s/step] Training: 96%|█████████▌| 66878/70000 [23:41:29<1:06:05, 1.27s/step] Training: 96%|█████████▌| 66879/70000 [23:41:31<1:07:18, 1.29s/step] Training: 96%|█████████▌| 66880/70000 [23:41:32<1:07:44, 1.30s/step] Training: 96%|█████████▌| 66881/70000 [23:41:33<1:06:03, 1.27s/step] Training: 96%|█████████▌| 66882/70000 [23:41:35<1:07:31, 1.30s/step] Training: 96%|█████████▌| 66883/70000 [23:41:36<1:05:47, 1.27s/step] Training: 96%|█████████▌| 66884/70000 [23:41:37<1:06:46, 1.29s/step] Training: 96%|█████████▌| 66885/70000 [23:41:38<1:05:49, 1.27s/step] Training: 96%|█████████▌| 66886/70000 [23:41:39<1:04:37, 1.25s/step] Training: 96%|█████████▌| 66887/70000 [23:41:41<1:05:41, 1.27s/step] Training: 96%|█████████▌| 66888/70000 [23:41:42<1:06:47, 1.29s/step] Training: 96%|█████████▌| 66889/70000 [23:41:43<1:05:13, 1.26s/step] Training: 96%|█████████▌| 66890/70000 [23:41:45<1:05:03, 1.26s/step] Training: 96%|█████████▌| 66891/70000 [23:41:46<1:03:59, 1.24s/step] Training: 96%|█████████▌| 66892/70000 [23:41:47<1:04:03, 1.24s/step] Training: 96%|█████████▌| 66893/70000 [23:41:48<1:03:30, 1.23s/step] Training: 96%|█████████▌| 66894/70000 [23:41:50<1:05:10, 1.26s/step] Training: 96%|█████████▌| 66895/70000 [23:41:51<1:04:56, 1.26s/step] Training: 96%|█████████▌| 66896/70000 [23:41:52<1:05:53, 1.27s/step] Training: 96%|█████████▌| 66897/70000 [23:41:53<1:04:35, 1.25s/step] Training: 96%|█████████▌| 66898/70000 [23:41:55<1:05:47, 1.27s/step] Training: 96%|█████████▌| 66899/70000 [23:41:56<1:04:28, 1.25s/step] Training: 96%|█████████▌| 66900/70000 [23:41:57<1:05:43, 1.27s/step]INFO 2026-03-13 19:51:49 ot_train.py:435 step:67K smpl:4M ep:15K epch:56.70 loss:0.007 grdn:0.595 lr:1.1e-06 updt_s:1.240 data_s:0.019 Training: 96%|█████████▌| 66901/70000 [23:41:58<1:06:31, 1.29s/step] Training: 96%|█████████▌| 66902/70000 [23:42:00<1:07:07, 1.30s/step] Training: 96%|█████████▌| 66903/70000 [23:42:01<1:05:23, 1.27s/step] Training: 96%|█████████▌| 66904/70000 [23:42:02<1:06:27, 1.29s/step] Training: 96%|█████████▌| 66905/70000 [23:42:04<1:04:46, 1.26s/step] Training: 96%|█████████▌| 66906/70000 [23:42:05<1:05:53, 1.28s/step] Training: 96%|█████████▌| 66907/70000 [23:42:06<1:04:34, 1.25s/step] Training: 96%|█████████▌| 66908/70000 [23:42:07<1:05:44, 1.28s/step] Training: 96%|█████████▌| 66909/70000 [23:42:09<1:06:47, 1.30s/step] Training: 96%|█████████▌| 66910/70000 [23:42:10<1:05:44, 1.28s/step] Training: 96%|█████████▌| 66911/70000 [23:42:11<1:04:22, 1.25s/step] Training: 96%|█████████▌| 66912/70000 [23:42:13<1:06:47, 1.30s/step] Training: 96%|█████████▌| 66913/70000 [23:42:14<1:05:03, 1.26s/step] Training: 96%|█████████▌| 66914/70000 [23:42:15<1:06:39, 1.30s/step] Training: 96%|█████████▌| 66915/70000 [23:42:16<1:04:58, 1.26s/step] Training: 96%|█████████▌| 66916/70000 [23:42:18<1:06:02, 1.28s/step] Training: 96%|█████████▌| 66917/70000 [23:42:19<1:04:57, 1.26s/step] Training: 96%|█████████▌| 66918/70000 [23:42:20<1:03:50, 1.24s/step] Training: 96%|█████████▌| 66919/70000 [23:42:21<1:04:57, 1.27s/step] Training: 96%|█████████▌| 66920/70000 [23:42:23<1:05:55, 1.28s/step] Training: 96%|█████████▌| 66921/70000 [23:42:24<1:06:42, 1.30s/step] Training: 96%|█████████▌| 66922/70000 [23:42:25<1:05:45, 1.28s/step] Training: 96%|█████████▌| 66923/70000 [23:42:26<1:04:22, 1.26s/step] Training: 96%|█████████▌| 66924/70000 [23:42:28<1:04:14, 1.25s/step] Training: 96%|█████████▌| 66925/70000 [23:42:29<1:03:38, 1.24s/step] Training: 96%|█████████▌| 66926/70000 [23:42:30<1:04:53, 1.27s/step] Training: 96%|█████████▌| 66927/70000 [23:42:31<1:03:40, 1.24s/step] Training: 96%|█████████▌| 66928/70000 [23:42:33<1:05:15, 1.27s/step] Training: 96%|█████████▌| 66929/70000 [23:42:34<1:03:45, 1.25s/step] Training: 96%|█████████▌| 66930/70000 [23:42:35<1:04:56, 1.27s/step] Training: 96%|█████████▌| 66931/70000 [23:42:36<1:03:44, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=43718 Training: 96%|█████████▌| 66932/70000 [23:42:38<1:05:02, 1.27s/step] Training: 96%|█████████▌| 66933/70000 [23:42:39<1:05:55, 1.29s/step] Training: 96%|█████████▌| 66934/70000 [23:42:40<1:04:44, 1.27s/step] Training: 96%|█████████▌| 66935/70000 [23:42:42<1:03:35, 1.24s/step] Training: 96%|█████████▌| 66936/70000 [23:42:43<1:02:57, 1.23s/step] Training: 96%|█████████▌| 66937/70000 [23:42:44<1:04:34, 1.27s/step] Training: 96%|█████████▌| 66938/70000 [23:42:45<1:05:26, 1.28s/step] Training: 96%|█████████▌| 66939/70000 [23:42:47<1:03:59, 1.25s/step] Training: 96%|█████████▌| 66940/70000 [23:42:48<1:05:18, 1.28s/step] Training: 96%|█████████▌| 66941/70000 [23:42:49<1:05:59, 1.29s/step] Training: 96%|█████████▌| 66942/70000 [23:42:50<1:04:59, 1.28s/step] Training: 96%|█████████▌| 66943/70000 [23:42:52<1:03:38, 1.25s/step] Training: 96%|█████████▌| 66944/70000 [23:42:53<1:04:54, 1.27s/step] Training: 96%|█████████▌| 66945/70000 [23:42:54<1:06:04, 1.30s/step] Training: 96%|█████████▌| 66946/70000 [23:42:56<1:06:52, 1.31s/step] Training: 96%|█████████▌| 66947/70000 [23:42:57<1:04:55, 1.28s/step] Training: 96%|█████████▌| 66948/70000 [23:42:58<1:05:43, 1.29s/step] Training: 96%|█████████▌| 66949/70000 [23:42:59<1:04:42, 1.27s/step] Training: 96%|█████████▌| 66950/70000 [23:43:01<1:03:22, 1.25s/step] Training: 96%|█████████▌| 66951/70000 [23:43:02<1:04:14, 1.26s/step] Training: 96%|█████████▌| 66952/70000 [23:43:03<1:05:06, 1.28s/step] Training: 96%|█████████▌| 66953/70000 [23:43:04<1:03:41, 1.25s/step] Training: 96%|█████████▌| 66954/70000 [23:43:06<1:03:36, 1.25s/step] Training: 96%|█████████▌| 66955/70000 [23:43:07<1:02:39, 1.23s/step] Training: 96%|█████████▌| 66956/70000 [23:43:08<1:02:57, 1.24s/step] Training: 96%|█████████▌| 66957/70000 [23:43:09<1:02:25, 1.23s/step] Training: 96%|█████████▌| 66958/70000 [23:43:11<1:01:45, 1.22s/step] Training: 96%|█████████▌| 66959/70000 [23:43:12<1:01:15, 1.21s/step] Training: 96%|█████████▌| 66960/70000 [23:43:13<1:02:59, 1.24s/step] Training: 96%|█████████▌| 66961/70000 [23:43:14<1:02:54, 1.24s/step] Training: 96%|█████████▌| 66962/70000 [23:43:16<1:04:13, 1.27s/step] Training: 96%|█████████▌| 66963/70000 [23:43:17<1:03:01, 1.25s/step] Training: 96%|█████████▌| 66964/70000 [23:43:18<1:04:11, 1.27s/step] Training: 96%|█████████▌| 66965/70000 [23:43:19<1:05:16, 1.29s/step] Training: 96%|█████████▌| 66966/70000 [23:43:21<1:04:17, 1.27s/step] Training: 96%|█████████▌| 66967/70000 [23:43:22<1:03:00, 1.25s/step] Training: 96%|█████████▌| 66968/70000 [23:43:23<1:02:25, 1.24s/step] Training: 96%|█████████▌| 66969/70000 [23:43:24<1:02:36, 1.24s/step] Training: 96%|█████████▌| 66970/70000 [23:43:26<1:03:50, 1.26s/step] Training: 96%|█████████▌| 66971/70000 [23:43:27<1:02:43, 1.24s/step] Training: 96%|█████████▌| 66972/70000 [23:43:28<1:04:03, 1.27s/step] Training: 96%|█████████▌| 66973/70000 [23:43:29<1:02:49, 1.25s/step] Training: 96%|█████████▌| 66974/70000 [23:43:31<1:03:51, 1.27s/step] Training: 96%|█████████▌| 66975/70000 [23:43:32<1:02:38, 1.24s/step] Training: 96%|█████████▌| 66976/70000 [23:43:33<1:03:50, 1.27s/step] Training: 96%|█████████▌| 66977/70000 [23:43:34<1:02:40, 1.24s/step] Training: 96%|█████████▌| 66978/70000 [23:43:36<1:05:43, 1.31s/step] Training: 96%|█████████▌| 66979/70000 [23:43:37<1:03:59, 1.27s/step] Training: 96%|█████████▌| 66980/70000 [23:43:38<1:04:52, 1.29s/step] Training: 96%|█████████▌| 66981/70000 [23:43:40<1:03:19, 1.26s/step] Training: 96%|█████████▌| 66982/70000 [23:43:41<1:05:37, 1.30s/step] Training: 96%|█████████▌| 66983/70000 [23:43:42<1:03:52, 1.27s/step] Training: 96%|█████████▌| 66984/70000 [23:43:43<1:04:38, 1.29s/step] Training: 96%|█████████▌| 66985/70000 [23:43:45<1:03:10, 1.26s/step] Training: 96%|█████████▌| 66986/70000 [23:43:46<1:03:48, 1.27s/step] Training: 96%|█████████▌| 66987/70000 [23:43:47<1:02:33, 1.25s/step] Training: 96%|█████████▌| 66988/70000 [23:43:48<1:02:31, 1.25s/step] Training: 96%|█████████▌| 66989/70000 [23:43:50<1:01:39, 1.23s/step] Training: 96%|█████████▌| 66990/70000 [23:43:51<1:03:15, 1.26s/step] Training: 96%|█████████▌| 66991/70000 [23:43:52<1:02:13, 1.24s/step] Training: 96%|█████████▌| 66992/70000 [23:43:53<1:03:27, 1.27s/step] Training: 96%|█████████▌| 66993/70000 [23:43:55<1:02:17, 1.24s/step] Training: 96%|█████████▌| 66994/70000 [23:43:56<1:03:33, 1.27s/step] Training: 96%|█████████▌| 66995/70000 [23:43:57<1:02:24, 1.25s/step] Training: 96%|█████████▌| 66996/70000 [23:43:58<1:03:35, 1.27s/step] Training: 96%|█████████▌| 66997/70000 [23:44:00<1:02:21, 1.25s/step] Training: 96%|█████████▌| 66998/70000 [23:44:01<1:03:12, 1.26s/step] Training: 96%|█████████▌| 66999/70000 [23:44:02<1:02:04, 1.24s/step] Training: 96%|█████████▌| 67000/70000 [23:44:03<1:01:39, 1.23s/step]INFO 2026-03-13 19:53:56 ot_train.py:435 step:67K smpl:4M ep:15K epch:56.79 loss:0.007 grdn:0.599 lr:1.1e-06 updt_s:1.242 data_s:0.019 Training: 96%|█████████▌| 67001/70000 [23:44:05<1:01:00, 1.22s/step] Training: 96%|█████████▌| 67002/70000 [23:44:06<1:02:33, 1.25s/step] Training: 96%|█████████▌| 67003/70000 [23:44:07<1:04:09, 1.28s/step] Training: 96%|█████████▌| 67004/70000 [23:44:09<1:04:35, 1.29s/step] Training: 96%|█████████▌| 67005/70000 [23:44:10<1:02:59, 1.26s/step] Training: 96%|█████████▌| 67006/70000 [23:44:11<1:03:57, 1.28s/step] Training: 96%|█████████▌| 67007/70000 [23:44:12<1:02:33, 1.25s/step] Training: 96%|█████████▌| 67008/70000 [23:44:14<1:03:37, 1.28s/step] Training: 96%|█████████▌| 67009/70000 [23:44:15<1:02:20, 1.25s/step] Training: 96%|█████████▌| 67010/70000 [23:44:16<1:04:30, 1.29s/step] Training: 96%|█████████▌| 67011/70000 [23:44:18<1:04:49, 1.30s/step] Training: 96%|█████████▌| 67012/70000 [23:44:19<1:04:59, 1.31s/step] Training: 96%|█████████▌| 67013/70000 [23:44:20<1:03:15, 1.27s/step] Training: 96%|█████████▌| 67014/70000 [23:44:21<1:04:02, 1.29s/step] Training: 96%|█████████▌| 67015/70000 [23:44:23<1:02:35, 1.26s/step] Training: 96%|█████████▌| 67016/70000 [23:44:24<1:03:42, 1.28s/step] Training: 96%|█████████▌| 67017/70000 [23:44:25<1:02:20, 1.25s/step] Training: 96%|█████████▌| 67018/70000 [23:44:26<1:01:51, 1.24s/step] Training: 96%|█████████▌| 67019/70000 [23:44:28<1:03:32, 1.28s/step] Training: 96%|█████████▌| 67020/70000 [23:44:29<1:02:55, 1.27s/step] Training: 96%|█████████▌| 67021/70000 [23:44:30<1:01:47, 1.24s/step] Training: 96%|█████████▌| 67022/70000 [23:44:31<1:03:11, 1.27s/step] Training: 96%|█████████▌| 67023/70000 [23:44:33<1:01:55, 1.25s/step] Training: 96%|█████████▌| 67024/70000 [23:44:34<1:03:02, 1.27s/step] Training: 96%|█████████▌| 67025/70000 [23:44:35<1:01:52, 1.25s/step] Training: 96%|█████████▌| 67026/70000 [23:44:36<1:02:59, 1.27s/step] Training: 96%|█████████▌| 67027/70000 [23:44:38<1:01:46, 1.25s/step] Training: 96%|█████████▌| 67028/70000 [23:44:39<1:04:35, 1.30s/step] Training: 96%|█████████▌| 67029/70000 [23:44:40<1:02:53, 1.27s/step] Training: 96%|█████████▌| 67030/70000 [23:44:42<1:04:18, 1.30s/step] Training: 96%|█████████▌| 67031/70000 [23:44:43<1:02:38, 1.27s/step] Training: 96%|█████████▌| 67032/70000 [23:44:44<1:01:51, 1.25s/step] Training: 96%|█████████▌| 67033/70000 [23:44:45<1:00:57, 1.23s/step] Training: 96%|█████████▌| 67034/70000 [23:44:47<1:02:15, 1.26s/step] Training: 96%|█████████▌| 67035/70000 [23:44:48<1:01:13, 1.24s/step] Training: 96%|█████████▌| 67036/70000 [23:44:49<1:04:13, 1.30s/step] Training: 96%|█████████▌| 67037/70000 [23:44:50<1:02:32, 1.27s/step] Training: 96%|█████████▌| 67038/70000 [23:44:52<1:03:24, 1.28s/step] Training: 96%|█████████▌| 67039/70000 [23:44:53<1:01:55, 1.25s/step] Training: 96%|█████████▌| 67040/70000 [23:44:54<1:03:21, 1.28s/step] Training: 96%|█████████▌| 67041/70000 [23:44:55<1:01:57, 1.26s/step] Training: 96%|█████████▌| 67042/70000 [23:44:57<1:01:46, 1.25s/step] Training: 96%|█████████▌| 67043/70000 [23:44:58<1:00:50, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=17831 Training: 96%|█████████▌| 67044/70000 [23:44:59<1:02:16, 1.26s/step] Training: 96%|█████████▌| 67045/70000 [23:45:00<1:01:08, 1.24s/step] Training: 96%|█████████▌| 67046/70000 [23:45:02<1:02:30, 1.27s/step] Training: 96%|█████████▌| 67047/70000 [23:45:03<1:01:20, 1.25s/step] Training: 96%|█████████▌| 67048/70000 [23:45:04<1:02:32, 1.27s/step] Training: 96%|█████████▌| 67049/70000 [23:45:05<1:01:19, 1.25s/step] Training: 96%|█████████▌| 67050/70000 [23:45:07<1:01:20, 1.25s/step] Training: 96%|█████████▌| 67051/70000 [23:45:08<1:00:31, 1.23s/step] Training: 96%|█████████▌| 67052/70000 [23:45:09<1:00:38, 1.23s/step] Training: 96%|█████████▌| 67053/70000 [23:45:10<1:00:02, 1.22s/step] Training: 96%|█████████▌| 67054/70000 [23:45:12<1:01:43, 1.26s/step] Training: 96%|█████████▌| 67055/70000 [23:45:13<1:00:39, 1.24s/step] Training: 96%|█████████▌| 67056/70000 [23:45:14<1:02:00, 1.26s/step] Training: 96%|█████████▌| 67057/70000 [23:45:15<1:00:59, 1.24s/step] Training: 96%|█████████▌| 67058/70000 [23:45:17<1:02:07, 1.27s/step] Training: 96%|█████████▌| 67059/70000 [23:45:18<1:01:00, 1.24s/step] Training: 96%|█████████▌| 67060/70000 [23:45:19<1:02:19, 1.27s/step] Training: 96%|█████████▌| 67061/70000 [23:45:20<1:01:03, 1.25s/step] Training: 96%|█████████▌| 67062/70000 [23:45:22<1:02:43, 1.28s/step] Training: 96%|█████████▌| 67063/70000 [23:45:23<1:01:22, 1.25s/step] Training: 96%|█████████▌| 67064/70000 [23:45:24<1:00:39, 1.24s/step] Training: 96%|█████████▌| 67065/70000 [23:45:25<59:57, 1.23s/step] Training: 96%|█████████▌| 67066/70000 [23:45:27<1:01:37, 1.26s/step] Training: 96%|█████████▌| 67067/70000 [23:45:28<1:00:35, 1.24s/step] Training: 96%|█████████▌| 67068/70000 [23:45:29<1:01:54, 1.27s/step] Training: 96%|█████████▌| 67069/70000 [23:45:31<1:02:58, 1.29s/step] Training: 96%|█████████▌| 67070/70000 [23:45:32<1:03:26, 1.30s/step] Training: 96%|█████████▌| 67071/70000 [23:45:33<1:01:46, 1.27s/step] Training: 96%|█████████▌| 67072/70000 [23:45:34<1:02:42, 1.29s/step] Training: 96%|█████████▌| 67073/70000 [23:45:36<1:01:21, 1.26s/step] Training: 96%|█████████▌| 67074/70000 [23:45:37<1:03:11, 1.30s/step] Training: 96%|█████████▌| 67075/70000 [23:45:38<1:01:51, 1.27s/step] Training: 96%|█████████▌| 67076/70000 [23:45:40<1:02:41, 1.29s/step] Training: 96%|█████████▌| 67077/70000 [23:45:41<1:02:23, 1.28s/step] Training: 96%|█████████▌| 67078/70000 [23:45:42<1:03:06, 1.30s/step] Training: 96%|█████████▌| 67079/70000 [23:45:43<1:01:34, 1.26s/step] Training: 96%|█████████▌| 67080/70000 [23:45:45<1:02:28, 1.28s/step] Training: 96%|█████████▌| 67081/70000 [23:45:46<1:01:06, 1.26s/step] Training: 96%|█████████▌| 67082/70000 [23:45:47<1:03:49, 1.31s/step] Training: 96%|█████████▌| 67083/70000 [23:45:48<1:02:12, 1.28s/step] Training: 96%|█████████▌| 67084/70000 [23:45:50<1:01:40, 1.27s/step] Training: 96%|█████████▌| 67085/70000 [23:45:51<1:00:33, 1.25s/step] Training: 96%|█████████▌| 67086/70000 [23:45:52<1:03:22, 1.30s/step] Training: 96%|█████████▌| 67087/70000 [23:45:54<1:01:39, 1.27s/step] Training: 96%|█████████▌| 67088/70000 [23:45:55<1:02:26, 1.29s/step] Training: 96%|█████████▌| 67089/70000 [23:45:56<1:01:00, 1.26s/step] Training: 96%|█████████▌| 67090/70000 [23:45:57<1:01:59, 1.28s/step] Training: 96%|█████████▌| 67091/70000 [23:45:59<1:00:45, 1.25s/step] Training: 96%|█████████▌| 67092/70000 [23:46:00<1:01:50, 1.28s/step] Training: 96%|█████████▌| 67093/70000 [23:46:01<1:03:00, 1.30s/step] Training: 96%|█████████▌| 67094/70000 [23:46:03<1:03:43, 1.32s/step] Training: 96%|█████████▌| 67095/70000 [23:46:04<1:01:54, 1.28s/step] Training: 96%|█████████▌| 67096/70000 [23:46:05<1:00:48, 1.26s/step] Training: 96%|█████████▌| 67097/70000 [23:46:06<59:54, 1.24s/step] Training: 96%|█████████▌| 67098/70000 [23:46:08<1:01:10, 1.26s/step] Training: 96%|█████████▌| 67099/70000 [23:46:09<1:00:12, 1.25s/step] Training: 96%|█████████▌| 67100/70000 [23:46:10<1:01:27, 1.27s/step]INFO 2026-03-13 19:56:02 ot_train.py:435 step:67K smpl:4M ep:15K epch:56.87 loss:0.007 grdn:0.635 lr:1.1e-06 updt_s:1.245 data_s:0.019 Training: 96%|█████████▌| 67101/70000 [23:46:11<1:00:14, 1.25s/step] Training: 96%|█████████▌| 67102/70000 [23:46:13<1:02:44, 1.30s/step] Training: 96%|█████████▌| 67103/70000 [23:46:14<1:01:10, 1.27s/step] Training: 96%|█████████▌| 67104/70000 [23:46:15<1:02:01, 1.29s/step] Training: 96%|█████████▌| 67105/70000 [23:46:16<1:00:40, 1.26s/step] Training: 96%|█████████▌| 67106/70000 [23:46:18<1:02:28, 1.30s/step] Training: 96%|█████████▌| 67107/70000 [23:46:19<1:00:58, 1.26s/step] Training: 96%|█████████▌| 67108/70000 [23:46:20<1:01:48, 1.28s/step] Training: 96%|█████████▌| 67109/70000 [23:46:21<1:00:25, 1.25s/step] Training: 96%|█████████▌| 67110/70000 [23:46:23<1:03:05, 1.31s/step] Training: 96%|█████████▌| 67111/70000 [23:46:24<1:01:18, 1.27s/step] Training: 96%|█████████▌| 67112/70000 [23:46:25<1:02:03, 1.29s/step] Training: 96%|█████████▌| 67113/70000 [23:46:27<1:00:35, 1.26s/step] Training: 96%|█████████▌| 67114/70000 [23:46:28<1:00:13, 1.25s/step] Training: 96%|█████████▌| 67115/70000 [23:46:29<59:22, 1.23s/step] Training: 96%|█████████▌| 67116/70000 [23:46:30<59:40, 1.24s/step] Training: 96%|█████████▌| 67117/70000 [23:46:32<58:58, 1.23s/step] Training: 96%|█████████▌| 67118/70000 [23:46:33<1:00:30, 1.26s/step] Training: 96%|█████████▌| 67119/70000 [23:46:34<59:25, 1.24s/step] Training: 96%|█████████▌| 67120/70000 [23:46:35<1:00:43, 1.27s/step] Training: 96%|█████████▌| 67121/70000 [23:46:37<59:44, 1.24s/step] Training: 96%|█████████▌| 67122/70000 [23:46:38<59:21, 1.24s/step] Training: 96%|█████████▌| 67123/70000 [23:46:39<1:00:12, 1.26s/step] Training: 96%|█████████▌| 67124/70000 [23:46:40<1:01:14, 1.28s/step] Training: 96%|█████████▌| 67125/70000 [23:46:42<59:58, 1.25s/step] Training: 96%|█████████▌| 67126/70000 [23:46:43<1:02:07, 1.30s/step] Training: 96%|█████████▌| 67127/70000 [23:46:44<1:00:32, 1.26s/step] Training: 96%|█████████▌| 67128/70000 [23:46:45<59:36, 1.25s/step] Training: 96%|█████████▌| 67129/70000 [23:46:47<58:53, 1.23s/step] Training: 96%|█████████▌| 67130/70000 [23:46:48<1:00:14, 1.26s/step] Training: 96%|█████████▌| 67131/70000 [23:46:49<59:14, 1.24s/step] Training: 96%|█████████▌| 67132/70000 [23:46:50<1:00:35, 1.27s/step] Training: 96%|█████████▌| 67133/70000 [23:46:52<59:25, 1.24s/step] Training: 96%|█████████▌| 67134/70000 [23:46:53<1:00:30, 1.27s/step] Training: 96%|█████████▌| 67135/70000 [23:46:54<59:23, 1.24s/step] Training: 96%|█████████▌| 67136/70000 [23:46:55<1:00:34, 1.27s/step] Training: 96%|█████████▌| 67137/70000 [23:46:57<59:26, 1.25s/step] Training: 96%|█████████▌| 67138/70000 [23:46:58<1:02:03, 1.30s/step] Training: 96%|█████████▌| 67139/70000 [23:46:59<1:00:25, 1.27s/step] Training: 96%|█████████▌| 67140/70000 [23:47:01<1:01:09, 1.28s/step] Training: 96%|█████████▌| 67141/70000 [23:47:02<59:49, 1.26s/step] Training: 96%|█████████▌| 67142/70000 [23:47:03<1:00:51, 1.28s/step] Training: 96%|█████████▌| 67143/70000 [23:47:04<1:01:49, 1.30s/step] Training: 96%|█████████▌| 67144/70000 [23:47:06<1:02:02, 1.30s/step] Training: 96%|█████████▌| 67145/70000 [23:47:07<1:00:26, 1.27s/step] Training: 96%|█████████▌| 67146/70000 [23:47:08<1:02:00, 1.30s/step] Training: 96%|█████████▌| 67147/70000 [23:47:10<1:00:25, 1.27s/step] Training: 96%|█████████▌| 67148/70000 [23:47:11<59:57, 1.26s/step] Training: 96%|█████████▌| 67149/70000 [23:47:12<58:57, 1.24s/step] Training: 96%|█████████▌| 67150/70000 [23:47:13<1:00:26, 1.27s/step] Training: 96%|█████████▌| 67151/70000 [23:47:15<1:00:39, 1.28s/step] Training: 96%|█████████▌| 67152/70000 [23:47:16<1:01:20, 1.29s/step] Training: 96%|█████████▌| 67153/70000 [23:47:17<59:50, 1.26s/step] Training: 96%|█████████▌| 67154/70000 [23:47:18<59:09, 1.25s/step] Training: 96%|█████████▌| 67155/70000 [23:47:20<58:19, 1.23s/step] Training: 96%|█████████▌| 67156/70000 [23:47:21<59:45, 1.26s/step] Training: 96%|█████████▌| 67157/70000 [23:47:22<58:42, 1.24s/step] Training: 96%|█████████▌| 67158/70000 [23:47:23<1:00:28, 1.28s/step] Training: 96%|█████████▌| 67159/70000 [23:47:25<1:01:37, 1.30s/step] Training: 96%|█████████▌| 67160/70000 [23:47:26<1:00:11, 1.27s/step] Training: 96%|█████████▌| 67161/70000 [23:47:27<59:06, 1.25s/step] Training: 96%|█████████▌| 67162/70000 [23:47:29<1:00:21, 1.28s/step] Training: 96%|█████████▌| 67163/70000 [23:47:30<59:07, 1.25s/step] Training: 96%|█████████▌| 67164/70000 [23:47:31<1:00:17, 1.28s/step] Training: 96%|█████████▌| 67165/70000 [23:47:32<59:06, 1.25s/step] Training: 96%|█████████▌| 67166/70000 [23:47:34<1:00:19, 1.28s/step] Training: 96%|█████████▌| 67167/70000 [23:47:35<1:01:26, 1.30s/step] Training: 96%|█████████▌| 67168/70000 [23:47:36<1:02:11, 1.32s/step] Training: 96%|█████████▌| 67169/70000 [23:47:37<1:00:29, 1.28s/step] Training: 96%|█████████▌| 67170/70000 [23:47:39<1:01:09, 1.30s/step] Training: 96%|█████████▌| 67171/70000 [23:47:40<59:40, 1.27s/step] Training: 96%|█████████▌| 67172/70000 [23:47:41<1:00:31, 1.28s/step] Training: 96%|█████████▌| 67173/70000 [23:47:43<59:11, 1.26s/step] Training: 96%|█████████▌| 67174/70000 [23:47:44<1:00:12, 1.28s/step] Training: 96%|█████████▌| 67175/70000 [23:47:45<59:01, 1.25s/step] Training: 96%|█████████▌| 67176/70000 [23:47:47<1:01:56, 1.32s/step] Training: 96%|█████████▌| 67177/70000 [23:47:48<1:00:09, 1.28s/step] Training: 96%|█████████▌| 67178/70000 [23:47:49<1:01:18, 1.30s/step] Training: 96%|█████████▌| 67179/70000 [23:47:50<59:43, 1.27s/step] Training: 96%|█████████▌| 67180/70000 [23:47:52<59:27, 1.27s/step] Training: 96%|█████████▌| 67181/70000 [23:47:53<58:22, 1.24s/step] Training: 96%|█████████▌| 67182/70000 [23:47:54<59:42, 1.27s/step] Training: 96%|█████████▌| 67183/70000 [23:47:55<58:32, 1.25s/step] Training: 96%|█████████▌| 67184/70000 [23:47:57<1:01:15, 1.31s/step] Training: 96%|█████████▌| 67185/70000 [23:47:58<59:36, 1.27s/step] Training: 96%|█████████▌| 67186/70000 [23:47:59<58:46, 1.25s/step] Training: 96%|█████████▌| 67187/70000 [23:48:00<57:54, 1.24s/step] Training: 96%|█████████▌| 67188/70000 [23:48:02<59:05, 1.26s/step] Training: 96%|█████████▌| 67189/70000 [23:48:03<58:03, 1.24s/step] Training: 96%|█████████▌| 67190/70000 [23:48:04<1:00:05, 1.28s/step] Training: 96%|█████████▌| 67191/70000 [23:48:05<58:42, 1.25s/step] Training: 96%|█████████▌| 67192/70000 [23:48:07<59:50, 1.28s/step] Training: 96%|█████████▌| 67193/70000 [23:48:08<58:26, 1.25s/step] Training: 96%|█████████▌| 67194/70000 [23:48:09<59:41, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=15329 Training: 96%|█████████▌| 67195/70000 [23:48:11<1:00:30, 1.29s/step] Training: 96%|█████████▌| 67196/70000 [23:48:12<1:01:02, 1.31s/step] Training: 96%|█████████▌| 67197/70000 [23:48:13<59:22, 1.27s/step] Training: 96%|█████████▌| 67198/70000 [23:48:14<1:00:05, 1.29s/step] Training: 96%|█████████▌| 67199/70000 [23:48:16<58:41, 1.26s/step] Training: 96%|█████████▌| 67200/70000 [23:48:17<1:00:02, 1.29s/step]INFO 2026-03-13 19:58:09 ot_train.py:435 step:67K smpl:4M ep:15K epch:56.96 loss:0.007 grdn:0.555 lr:1.1e-06 updt_s:1.248 data_s:0.019 Training: 96%|█████████▌| 67201/70000 [23:48:18<58:30, 1.25s/step] Training: 96%|█████████▌| 67202/70000 [23:48:19<59:28, 1.28s/step] Training: 96%|█████████▌| 67203/70000 [23:48:21<59:25, 1.27s/step] Training: 96%|█████████▌| 67204/70000 [23:48:22<1:00:48, 1.30s/step] Training: 96%|█████████▌| 67205/70000 [23:48:23<59:09, 1.27s/step] Training: 96%|█████████▌| 67206/70000 [23:48:25<1:00:10, 1.29s/step] Training: 96%|█████████▌| 67207/70000 [23:48:26<58:43, 1.26s/step] Training: 96%|█████████▌| 67208/70000 [23:48:27<59:36, 1.28s/step] Training: 96%|█████████▌| 67209/70000 [23:48:28<58:17, 1.25s/step] Training: 96%|█████████▌| 67210/70000 [23:48:30<58:14, 1.25s/step] Training: 96%|█████████▌| 67211/70000 [23:48:31<57:25, 1.24s/step] Training: 96%|█████████▌| 67212/70000 [23:48:32<57:37, 1.24s/step] Training: 96%|█████████▌| 67213/70000 [23:48:33<56:55, 1.23s/step] Training: 96%|█████████▌| 67214/70000 [23:48:35<58:26, 1.26s/step] Training: 96%|█████████▌| 67215/70000 [23:48:36<57:27, 1.24s/step] Training: 96%|█████████▌| 67216/70000 [23:48:37<56:54, 1.23s/step] Training: 96%|█████████▌| 67217/70000 [23:48:38<58:31, 1.26s/step] Training: 96%|█████████▌| 67218/70000 [23:48:39<57:56, 1.25s/step] Training: 96%|█████████▌| 67219/70000 [23:48:41<59:00, 1.27s/step] Training: 96%|█████████▌| 67220/70000 [23:48:42<59:48, 1.29s/step] Training: 96%|█████████▌| 67221/70000 [23:48:43<58:22, 1.26s/step] Training: 96%|█████████▌| 67222/70000 [23:48:45<59:59, 1.30s/step] Training: 96%|█████████▌| 67223/70000 [23:48:46<58:31, 1.26s/step] Training: 96%|█████████▌| 67224/70000 [23:48:47<57:58, 1.25s/step] Training: 96%|█████████▌| 67225/70000 [23:48:48<58:49, 1.27s/step] Training: 96%|█████████▌| 67226/70000 [23:48:50<57:31, 1.24s/step] Training: 96%|█████████▌| 67227/70000 [23:48:51<58:27, 1.27s/step] Training: 96%|█████████▌| 67228/70000 [23:48:52<59:31, 1.29s/step] Training: 96%|█████████▌| 67229/70000 [23:48:53<58:10, 1.26s/step] Training: 96%|█████████▌| 67230/70000 [23:48:55<59:02, 1.28s/step] Training: 96%|█████████▌| 67231/70000 [23:48:56<57:47, 1.25s/step] Training: 96%|█████████▌| 67232/70000 [23:48:57<56:56, 1.23s/step] Training: 96%|█████████▌| 67233/70000 [23:48:59<1:00:08, 1.30s/step] Training: 96%|█████████▌| 67234/70000 [23:49:00<1:00:23, 1.31s/step] Training: 96%|█████████▌| 67235/70000 [23:49:01<59:21, 1.29s/step] Training: 96%|█████████▌| 67236/70000 [23:49:03<1:00:27, 1.31s/step] Training: 96%|█████████▌| 67237/70000 [23:49:04<58:44, 1.28s/step] Training: 96%|█████████▌| 67238/70000 [23:49:05<59:25, 1.29s/step] Training: 96%|█████████▌| 67239/70000 [23:49:06<58:01, 1.26s/step] Training: 96%|█████████▌| 67240/70000 [23:49:08<58:54, 1.28s/step] Training: 96%|█████████▌| 67241/70000 [23:49:09<57:36, 1.25s/step] Training: 96%|█████████▌| 67242/70000 [23:49:10<58:45, 1.28s/step] Training: 96%|█████████▌| 67243/70000 [23:49:11<57:23, 1.25s/step] Training: 96%|█████████▌| 67244/70000 [23:49:13<58:49, 1.28s/step] Training: 96%|█████████▌| 67245/70000 [23:49:14<57:32, 1.25s/step] Training: 96%|█████████▌| 67246/70000 [23:49:15<58:44, 1.28s/step] Training: 96%|█████████▌| 67247/70000 [23:49:16<57:28, 1.25s/step] Training: 96%|█████████▌| 67248/70000 [23:49:18<58:34, 1.28s/step] Training: 96%|█████████▌| 67249/70000 [23:49:19<57:28, 1.25s/step] Training: 96%|█████████▌| 67250/70000 [23:49:20<1:00:27, 1.32s/step] Training: 96%|█████████▌| 67251/70000 [23:49:22<1:00:36, 1.32s/step] Training: 96%|█████████▌| 67252/70000 [23:49:23<1:00:39, 1.32s/step] Training: 96%|█████████▌| 67253/70000 [23:49:24<58:45, 1.28s/step] Training: 96%|█████████▌| 67254/70000 [23:49:26<59:52, 1.31s/step] Training: 96%|█████████▌| 67255/70000 [23:49:27<58:12, 1.27s/step] Training: 96%|█████████▌| 67256/70000 [23:49:28<57:30, 1.26s/step] Training: 96%|█████████▌| 67257/70000 [23:49:29<56:31, 1.24s/step] Training: 96%|█████████▌| 67258/70000 [23:49:31<58:08, 1.27s/step] Training: 96%|█████████▌| 67259/70000 [23:49:32<58:53, 1.29s/step] Training: 96%|█████████▌| 67260/70000 [23:49:34<1:12:46, 1.59s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 96%|█████████▌| 67261/70000 [23:49:38<1:43:47, 2.27s/step] Training: 96%|█████████▌| 67262/70000 [23:49:39<1:31:20, 2.00s/step] Training: 96%|█████████▌| 67263/70000 [23:49:41<1:20:12, 1.76s/step] Training: 96%|█████████▌| 67264/70000 [23:49:42<1:12:24, 1.59s/step] Training: 96%|█████████▌| 67265/70000 [23:49:43<1:09:29, 1.52s/step] Training: 96%|█████████▌| 67266/70000 [23:49:44<1:05:16, 1.43s/step] Training: 96%|█████████▌| 67267/70000 [23:49:46<1:05:03, 1.43s/step] Training: 96%|█████████▌| 67268/70000 [23:49:47<1:05:32, 1.44s/step] Training: 96%|█████████▌| 67269/70000 [23:49:48<1:02:08, 1.37s/step] Training: 96%|█████████▌| 67270/70000 [23:49:50<1:02:03, 1.36s/step] Training: 96%|█████████▌| 67271/70000 [23:49:51<59:43, 1.31s/step] Training: 96%|█████████▌| 67272/70000 [23:49:52<1:00:17, 1.33s/step] Training: 96%|█████████▌| 67273/70000 [23:49:54<58:49, 1.29s/step] Training: 96%|█████████▌| 67274/70000 [23:49:55<57:37, 1.27s/step] Training: 96%|█████████▌| 67275/70000 [23:49:56<58:50, 1.30s/step] Training: 96%|█████████▌| 67276/70000 [23:49:58<1:00:30, 1.33s/step] Training: 96%|█████████▌| 67277/70000 [23:49:59<58:30, 1.29s/step] Training: 96%|█████████▌| 67278/70000 [23:50:00<59:11, 1.30s/step] Training: 96%|█████████▌| 67279/70000 [23:50:01<57:35, 1.27s/step] Training: 96%|█████████▌| 67280/70000 [23:50:03<56:44, 1.25s/step] Training: 96%|█████████▌| 67281/70000 [23:50:04<55:51, 1.23s/step] Training: 96%|█████████▌| 67282/70000 [23:50:05<56:01, 1.24s/step] Training: 96%|█████████▌| 67283/70000 [23:50:06<57:13, 1.26s/step] Training: 96%|█████████▌| 67284/70000 [23:50:08<58:05, 1.28s/step] Training: 96%|█████████▌| 67285/70000 [23:50:09<56:50, 1.26s/step] Training: 96%|█████████▌| 67286/70000 [23:50:10<58:23, 1.29s/step] Training: 96%|█████████▌| 67287/70000 [23:50:11<57:20, 1.27s/step] Training: 96%|█████████▌| 67288/70000 [23:50:13<57:10, 1.26s/step] Training: 96%|█████████▌| 67289/70000 [23:50:14<56:08, 1.24s/step] Training: 96%|█████████▌| 67290/70000 [23:50:15<55:24, 1.23s/step] Training: 96%|█████████▌| 67291/70000 [23:50:17<58:37, 1.30s/step] Training: 96%|█████████▌| 67292/70000 [23:50:18<59:03, 1.31s/step] Training: 96%|█████████▌| 67293/70000 [23:50:19<57:26, 1.27s/step] Training: 96%|█████████▌| 67294/70000 [23:50:20<58:12, 1.29s/step] Training: 96%|█████████▌| 67295/70000 [23:50:22<56:49, 1.26s/step] Training: 96%|█████████▌| 67296/70000 [23:50:23<55:51, 1.24s/step] Training: 96%|█████████▌| 67297/70000 [23:50:24<56:54, 1.26s/step] Training: 96%|█████████▌| 67298/70000 [23:50:25<55:53, 1.24s/step] Training: 96%|█████████▌| 67299/70000 [23:50:26<55:49, 1.24s/step] Training: 96%|█████████▌| 67300/70000 [23:50:28<56:54, 1.26s/step]INFO 2026-03-13 20:00:20 ot_train.py:435 step:67K smpl:4M ep:15K epch:57.04 loss:0.007 grdn:0.539 lr:1.1e-06 updt_s:1.252 data_s:0.054 Training: 96%|█████████▌| 67301/70000 [23:50:29<55:51, 1.24s/step] Training: 96%|█████████▌| 67302/70000 [23:50:30<56:59, 1.27s/step] Training: 96%|█████████▌| 67303/70000 [23:50:32<55:55, 1.24s/step] Training: 96%|█████████▌| 67304/70000 [23:50:33<55:07, 1.23s/step] Training: 96%|█████████▌| 67305/70000 [23:50:34<54:33, 1.21s/step] Training: 96%|█████████▌| 67306/70000 [23:50:35<54:40, 1.22s/step] Training: 96%|█████████▌| 67307/70000 [23:50:36<56:14, 1.25s/step] Training: 96%|█████████▌| 67308/70000 [23:50:38<58:21, 1.30s/step] Training: 96%|█████████▌| 67309/70000 [23:50:39<56:51, 1.27s/step] Training: 96%|█████████▌| 67310/70000 [23:50:40<57:53, 1.29s/step] Training: 96%|█████████▌| 67311/70000 [23:50:42<56:36, 1.26s/step] Training: 96%|█████████▌| 67312/70000 [23:50:43<56:05, 1.25s/step] Training: 96%|█████████▌| 67313/70000 [23:50:44<55:13, 1.23s/step] Training: 96%|█████████▌| 67314/70000 [23:50:45<54:51, 1.23s/step] Training: 96%|█████████▌| 67315/70000 [23:50:47<56:18, 1.26s/step] Training: 96%|█████████▌| 67316/70000 [23:50:48<58:24, 1.31s/step] Training: 96%|█████████▌| 67317/70000 [23:50:49<56:48, 1.27s/step] Training: 96%|█████████▌| 67318/70000 [23:50:51<58:15, 1.30s/step] Training: 96%|█████████▌| 67319/70000 [23:50:52<56:41, 1.27s/step] Training: 96%|█████████▌| 67320/70000 [23:50:53<56:02, 1.25s/step] Training: 96%|█████████▌| 67321/70000 [23:50:54<55:21, 1.24s/step] Training: 96%|█████████▌| 67322/70000 [23:50:55<56:28, 1.27s/step] Training: 96%|█████████▌| 67323/70000 [23:50:57<56:00, 1.26s/step] Training: 96%|█████████▌| 67324/70000 [23:50:58<57:23, 1.29s/step] Training: 96%|█████████▌| 67325/70000 [23:50:59<55:55, 1.25s/step] Training: 96%|█████████▌| 67326/70000 [23:51:01<56:51, 1.28s/step] Training: 96%|█████████▌| 67327/70000 [23:51:02<55:37, 1.25s/step] Training: 96%|█████████▌| 67328/70000 [23:51:03<56:39, 1.27s/step] Training: 96%|█████████▌| 67329/70000 [23:51:04<55:34, 1.25s/step] Training: 96%|█████████▌| 67330/70000 [23:51:06<56:48, 1.28s/step] Training: 96%|█████████▌| 67331/70000 [23:51:07<55:57, 1.26s/step] Training: 96%|█████████▌| 67332/70000 [23:51:08<57:19, 1.29s/step] Training: 96%|█████████▌| 67333/70000 [23:51:09<55:51, 1.26s/step] Training: 96%|█████████▌| 67334/70000 [23:51:11<56:44, 1.28s/step] Training: 96%|█████████▌| 67335/70000 [23:51:12<55:32, 1.25s/step] Training: 96%|█████████▌| 67336/70000 [23:51:13<56:42, 1.28s/step] Training: 96%|█████████▌| 67337/70000 [23:51:14<55:33, 1.25s/step] Training: 96%|█████████▌| 67338/70000 [23:51:16<55:10, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=65882 Training: 96%|█████████▌| 67339/70000 [23:51:17<56:21, 1.27s/step] Training: 96%|█████████▌| 67340/70000 [23:51:18<57:08, 1.29s/step] Training: 96%|█████████▌| 67341/70000 [23:51:20<57:48, 1.30s/step] Training: 96%|█████████▌| 67342/70000 [23:51:21<58:02, 1.31s/step] Training: 96%|█████████▌| 67343/70000 [23:51:22<56:23, 1.27s/step] Training: 96%|█████████▌| 67344/70000 [23:51:23<55:53, 1.26s/step] Training: 96%|█████████▌| 67345/70000 [23:51:25<54:52, 1.24s/step] Training: 96%|█████████▌| 67346/70000 [23:51:26<54:38, 1.24s/step] Training: 96%|█████████▌| 67347/70000 [23:51:27<55:54, 1.26s/step] Training: 96%|█████████▌| 67348/70000 [23:51:28<56:50, 1.29s/step] Training: 96%|█████████▌| 67349/70000 [23:51:30<57:32, 1.30s/step] Training: 96%|█████████▌| 67350/70000 [23:51:31<58:12, 1.32s/step] Training: 96%|█████████▌| 67351/70000 [23:51:32<56:31, 1.28s/step] Training: 96%|█████████▌| 67352/70000 [23:51:34<55:36, 1.26s/step] Training: 96%|█████████▌| 67353/70000 [23:51:35<54:43, 1.24s/step] Training: 96%|█████████▌| 67354/70000 [23:51:36<55:45, 1.26s/step] Training: 96%|█████████▌| 67355/70000 [23:51:37<55:19, 1.25s/step] Training: 96%|█████████▌| 67356/70000 [23:51:39<56:13, 1.28s/step] Training: 96%|█████████▌| 67357/70000 [23:51:40<55:39, 1.26s/step] Training: 96%|█████████▌| 67358/70000 [23:51:41<56:28, 1.28s/step] Training: 96%|█████████▌| 67359/70000 [23:51:42<55:11, 1.25s/step] Training: 96%|█████████▌| 67360/70000 [23:51:44<56:21, 1.28s/step] Training: 96%|█████████▌| 67361/70000 [23:51:45<55:10, 1.25s/step] Training: 96%|█████████▌| 67362/70000 [23:51:46<56:06, 1.28s/step] Training: 96%|█████████▌| 67363/70000 [23:51:47<55:13, 1.26s/step] Training: 96%|█████████▌| 67364/70000 [23:51:49<56:37, 1.29s/step] Training: 96%|█████████▌| 67365/70000 [23:51:50<56:12, 1.28s/step] Training: 96%|█████████▌| 67366/70000 [23:51:51<56:38, 1.29s/step] Training: 96%|█████████▌| 67367/70000 [23:51:53<55:15, 1.26s/step] Training: 96%|█████████▌| 67368/70000 [23:51:54<56:17, 1.28s/step] Training: 96%|█████████▌| 67369/70000 [23:51:55<55:05, 1.26s/step] Training: 96%|█████████▌| 67370/70000 [23:51:56<54:40, 1.25s/step] Training: 96%|█████████▌| 67371/70000 [23:51:58<55:58, 1.28s/step] Training: 96%|█████████▌| 67372/70000 [23:51:59<56:47, 1.30s/step] Training: 96%|█████████▌| 67373/70000 [23:52:00<55:21, 1.26s/step] Training: 96%|█████████▌| 67374/70000 [23:52:02<57:43, 1.32s/step] Training: 96%|█████████▋| 67375/70000 [23:52:03<56:05, 1.28s/step] Training: 96%|█████████▋| 67376/70000 [23:52:04<55:21, 1.27s/step] Training: 96%|█████████▋| 67377/70000 [23:52:05<54:23, 1.24s/step] Training: 96%|█████████▋| 67378/70000 [23:52:07<53:49, 1.23s/step] Training: 96%|█████████▋| 67379/70000 [23:52:08<55:07, 1.26s/step] Training: 96%|█████████▋| 67380/70000 [23:52:09<54:25, 1.25s/step] Training: 96%|█████████▋| 67381/70000 [23:52:10<55:23, 1.27s/step] Training: 96%|█████████▋| 67382/70000 [23:52:12<57:13, 1.31s/step] Training: 96%|█████████▋| 67383/70000 [23:52:13<55:35, 1.27s/step] Training: 96%|█████████▋| 67384/70000 [23:52:14<54:39, 1.25s/step] Training: 96%|█████████▋| 67385/70000 [23:52:15<53:51, 1.24s/step] Training: 96%|█████████▋| 67386/70000 [23:52:17<55:01, 1.26s/step] Training: 96%|█████████▋| 67387/70000 [23:52:18<54:40, 1.26s/step] Training: 96%|█████████▋| 67388/70000 [23:52:19<55:32, 1.28s/step] Training: 96%|█████████▋| 67389/70000 [23:52:20<55:02, 1.26s/step] Training: 96%|█████████▋| 67390/70000 [23:52:22<55:47, 1.28s/step] Training: 96%|█████████▋| 67391/70000 [23:52:23<56:30, 1.30s/step] Training: 96%|█████████▋| 67392/70000 [23:52:24<56:49, 1.31s/step] Training: 96%|█████████▋| 67393/70000 [23:52:26<55:17, 1.27s/step] Training: 96%|█████████▋| 67394/70000 [23:52:27<55:59, 1.29s/step] Training: 96%|█████████▋| 67395/70000 [23:52:28<55:07, 1.27s/step] Training: 96%|█████████▋| 67396/70000 [23:52:30<55:54, 1.29s/step] Training: 96%|█████████▋| 67397/70000 [23:52:31<54:50, 1.26s/step] Training: 96%|█████████▋| 67398/70000 [23:52:32<55:58, 1.29s/step] Training: 96%|█████████▋| 67399/70000 [23:52:33<54:32, 1.26s/step] Training: 96%|█████████▋| 67400/70000 [23:52:35<55:21, 1.28s/step]INFO 2026-03-13 20:02:27 ot_train.py:435 step:67K smpl:4M ep:15K epch:57.13 loss:0.007 grdn:0.591 lr:1.1e-06 updt_s:1.247 data_s:0.019 Training: 96%|█████████▋| 67401/70000 [23:52:36<54:16, 1.25s/step] Training: 96%|█████████▋| 67402/70000 [23:52:37<53:53, 1.24s/step] Training: 96%|█████████▋| 67403/70000 [23:52:38<53:05, 1.23s/step] Training: 96%|█████████▋| 67404/70000 [23:52:40<55:50, 1.29s/step] Training: 96%|█████████▋| 67405/70000 [23:52:41<56:19, 1.30s/step] Training: 96%|█████████▋| 67406/70000 [23:52:42<56:42, 1.31s/step] Training: 96%|█████████▋| 67407/70000 [23:52:44<57:05, 1.32s/step] Training: 96%|█████████▋| 67408/70000 [23:52:45<55:43, 1.29s/step] Training: 96%|█████████▋| 67409/70000 [23:52:46<54:27, 1.26s/step] Training: 96%|█████████▋| 67410/70000 [23:52:47<53:48, 1.25s/step] Training: 96%|█████████▋| 67411/70000 [23:52:48<53:01, 1.23s/step] Training: 96%|█████████▋| 67412/70000 [23:52:50<53:29, 1.24s/step] Training: 96%|█████████▋| 67413/70000 [23:52:51<54:28, 1.26s/step] Training: 96%|█████████▋| 67414/70000 [23:52:52<55:55, 1.30s/step] Training: 96%|█████████▋| 67415/70000 [23:52:54<56:25, 1.31s/step] Training: 96%|█████████▋| 67416/70000 [23:52:55<55:04, 1.28s/step] Training: 96%|█████████▋| 67417/70000 [23:52:56<54:01, 1.25s/step] Training: 96%|█████████▋| 67418/70000 [23:52:58<54:55, 1.28s/step] Training: 96%|█████████▋| 67419/70000 [23:52:59<53:46, 1.25s/step] Training: 96%|█████████▋| 67420/70000 [23:53:00<54:47, 1.27s/step] Training: 96%|█████████▋| 67421/70000 [23:53:01<55:27, 1.29s/step] Training: 96%|█████████▋| 67422/70000 [23:53:03<55:59, 1.30s/step] Training: 96%|█████████▋| 67423/70000 [23:53:04<54:31, 1.27s/step] Training: 96%|█████████▋| 67424/70000 [23:53:05<55:18, 1.29s/step] Training: 96%|█████████▋| 67425/70000 [23:53:06<54:02, 1.26s/step] Training: 96%|█████████▋| 67426/70000 [23:53:08<55:06, 1.28s/step] Training: 96%|█████████▋| 67427/70000 [23:53:09<53:51, 1.26s/step] Training: 96%|█████████▋| 67428/70000 [23:53:10<54:50, 1.28s/step] Training: 96%|█████████▋| 67429/70000 [23:53:11<53:57, 1.26s/step] Training: 96%|█████████▋| 67430/70000 [23:53:13<54:56, 1.28s/step] Training: 96%|█████████▋| 67431/70000 [23:53:14<54:08, 1.26s/step] Training: 96%|█████████▋| 67432/70000 [23:53:15<54:59, 1.28s/step] Training: 96%|█████████▋| 67433/70000 [23:53:17<53:46, 1.26s/step] Training: 96%|█████████▋| 67434/70000 [23:53:18<53:33, 1.25s/step] Training: 96%|█████████▋| 67435/70000 [23:53:19<52:48, 1.24s/step] Training: 96%|█████████▋| 67436/70000 [23:53:20<53:56, 1.26s/step] Training: 96%|█████████▋| 67437/70000 [23:53:22<54:48, 1.28s/step] Training: 96%|█████████▋| 67438/70000 [23:53:23<55:26, 1.30s/step] Training: 96%|█████████▋| 67439/70000 [23:53:24<54:54, 1.29s/step] Training: 96%|█████████▋| 67440/70000 [23:53:25<54:06, 1.27s/step] Training: 96%|█████████▋| 67441/70000 [23:53:27<53:08, 1.25s/step] Training: 96%|█████████▋| 67442/70000 [23:53:28<52:39, 1.23s/step] Training: 96%|█████████▋| 67443/70000 [23:53:29<51:59, 1.22s/step] Training: 96%|█████████▋| 67444/70000 [23:53:30<53:21, 1.25s/step] Training: 96%|█████████▋| 67445/70000 [23:53:32<54:16, 1.27s/step] Training: 96%|█████████▋| 67446/70000 [23:53:33<55:26, 1.30s/step] Training: 96%|█████████▋| 67447/70000 [23:53:34<53:59, 1.27s/step] Training: 96%|█████████▋| 67448/70000 [23:53:36<54:57, 1.29s/step] Training: 96%|█████████▋| 67449/70000 [23:53:37<53:29, 1.26s/step] Training: 96%|█████████▋| 67450/70000 [23:53:38<54:19, 1.28s/step] Training: 96%|█████████▋| 67451/70000 [23:53:39<53:11, 1.25s/step] Training: 96%|█████████▋| 67452/70000 [23:53:41<54:02, 1.27s/step] Training: 96%|█████████▋| 67453/70000 [23:53:42<54:43, 1.29s/step] Training: 96%|█████████▋| 67454/70000 [23:53:43<55:06, 1.30s/step] Training: 96%|█████████▋| 67455/70000 [23:53:44<53:43, 1.27s/step] Training: 96%|█████████▋| 67456/70000 [23:53:46<55:30, 1.31s/step] Training: 96%|█████████▋| 67457/70000 [23:53:47<54:00, 1.27s/step] Training: 96%|█████████▋| 67458/70000 [23:53:48<54:41, 1.29s/step] Training: 96%|█████████▋| 67459/70000 [23:53:50<53:24, 1.26s/step] Training: 96%|█████████▋| 67460/70000 [23:53:51<54:11, 1.28s/step] Training: 96%|█████████▋| 67461/70000 [23:53:52<53:13, 1.26s/step] Training: 96%|█████████▋| 67462/70000 [23:53:53<54:01, 1.28s/step] Training: 96%|█████████▋| 67463/70000 [23:53:55<52:55, 1.25s/step] Training: 96%|█████████▋| 67464/70000 [23:53:56<53:50, 1.27s/step] Training: 96%|█████████▋| 67465/70000 [23:53:57<54:43, 1.30s/step] Training: 96%|█████████▋| 67466/70000 [23:53:59<54:01, 1.28s/step] Training: 96%|█████████▋| 67467/70000 [23:54:00<52:52, 1.25s/step] Training: 96%|█████████▋| 67468/70000 [23:54:01<53:49, 1.28s/step] Training: 96%|█████████▋| 67469/70000 [23:54:03<55:43, 1.32s/step] Training: 96%|█████████▋| 67470/70000 [23:54:04<55:55, 1.33s/step] Training: 96%|█████████▋| 67471/70000 [23:54:05<54:10, 1.29s/step] Training: 96%|█████████▋| 67472/70000 [23:54:06<55:26, 1.32s/step] Training: 96%|█████████▋| 67473/70000 [23:54:08<53:42, 1.28s/step] Training: 96%|█████████▋| 67474/70000 [23:54:09<52:48, 1.25s/step] Training: 96%|█████████▋| 67475/70000 [23:54:10<52:00, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=30957 Training: 96%|█████████▋| 67476/70000 [23:54:11<53:20, 1.27s/step] Training: 96%|█████████▋| 67477/70000 [23:54:13<55:10, 1.31s/step] Training: 96%|█████████▋| 67478/70000 [23:54:14<55:52, 1.33s/step] Training: 96%|█████████▋| 67479/70000 [23:54:15<54:05, 1.29s/step] Training: 96%|█████████▋| 67480/70000 [23:54:17<53:11, 1.27s/step] Training: 96%|█████████▋| 67481/70000 [23:54:18<54:06, 1.29s/step] Training: 96%|█████████▋| 67482/70000 [23:54:19<54:27, 1.30s/step] Training: 96%|█████████▋| 67483/70000 [23:54:20<53:03, 1.26s/step] Training: 96%|█████████▋| 67484/70000 [23:54:22<53:43, 1.28s/step] Training: 96%|█████████▋| 67485/70000 [23:54:23<54:23, 1.30s/step] Training: 96%|█████████▋| 67486/70000 [23:54:24<53:40, 1.28s/step] Training: 96%|█████████▋| 67487/70000 [23:54:25<52:29, 1.25s/step] Training: 96%|█████████▋| 67488/70000 [23:54:27<53:29, 1.28s/step] Training: 96%|█████████▋| 67489/70000 [23:54:28<54:22, 1.30s/step] Training: 96%|█████████▋| 67490/70000 [23:54:29<54:35, 1.30s/step] Training: 96%|█████████▋| 67491/70000 [23:54:31<53:07, 1.27s/step] Training: 96%|█████████▋| 67492/70000 [23:54:32<54:10, 1.30s/step] Training: 96%|█████████▋| 67493/70000 [23:54:33<52:58, 1.27s/step] Training: 96%|█████████▋| 67494/70000 [23:54:35<53:45, 1.29s/step] Training: 96%|█████████▋| 67495/70000 [23:54:36<52:29, 1.26s/step] Training: 96%|█████████▋| 67496/70000 [23:54:37<53:20, 1.28s/step] Training: 96%|█████████▋| 67497/70000 [23:54:38<52:10, 1.25s/step] Training: 96%|█████████▋| 67498/70000 [23:54:40<52:06, 1.25s/step] Training: 96%|█████████▋| 67499/70000 [23:54:41<51:19, 1.23s/step] Training: 96%|█████████▋| 67500/70000 [23:54:42<53:02, 1.27s/step]INFO 2026-03-13 20:04:34 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.21 loss:0.008 grdn:0.565 lr:1.1e-06 updt_s:1.254 data_s:0.019 Training: 96%|█████████▋| 67501/70000 [23:54:43<53:50, 1.29s/step] Training: 96%|█████████▋| 67502/70000 [23:54:45<54:18, 1.30s/step] Training: 96%|█████████▋| 67503/70000 [23:54:46<54:27, 1.31s/step] Training: 96%|█████████▋| 67504/70000 [23:54:47<53:37, 1.29s/step] Training: 96%|█████████▋| 67505/70000 [23:54:49<53:04, 1.28s/step] Training: 96%|█████████▋| 67506/70000 [23:54:50<52:11, 1.26s/step] Training: 96%|█████████▋| 67507/70000 [23:54:51<51:21, 1.24s/step] Training: 96%|█████████▋| 67508/70000 [23:54:52<52:30, 1.26s/step] Training: 96%|█████████▋| 67509/70000 [23:54:54<53:17, 1.28s/step] Training: 96%|█████████▋| 67510/70000 [23:54:55<52:36, 1.27s/step] Training: 96%|█████████▋| 67511/70000 [23:54:56<52:18, 1.26s/step] Training: 96%|█████████▋| 67512/70000 [23:54:57<51:39, 1.25s/step] Training: 96%|█████████▋| 67513/70000 [23:54:59<51:34, 1.24s/step] Training: 96%|█████████▋| 67514/70000 [23:55:00<52:26, 1.27s/step] Training: 96%|█████████▋| 67515/70000 [23:55:01<51:30, 1.24s/step] Training: 96%|█████████▋| 67516/70000 [23:55:02<52:27, 1.27s/step] Training: 96%|█████████▋| 67517/70000 [23:55:04<53:10, 1.28s/step] Training: 96%|█████████▋| 67518/70000 [23:55:05<52:31, 1.27s/step] Training: 96%|█████████▋| 67519/70000 [23:55:06<51:47, 1.25s/step] Training: 96%|█████████▋| 67520/70000 [23:55:07<52:48, 1.28s/step] Training: 96%|█████████▋| 67521/70000 [23:55:09<51:44, 1.25s/step] Training: 96%|█████████▋| 67522/70000 [23:55:10<54:06, 1.31s/step] Training: 96%|█████████▋| 67523/70000 [23:55:11<52:35, 1.27s/step] Training: 96%|█████████▋| 67524/70000 [23:55:13<53:22, 1.29s/step] Training: 96%|█████████▋| 67525/70000 [23:55:14<52:17, 1.27s/step] Training: 96%|█████████▋| 67526/70000 [23:55:15<51:17, 1.24s/step] Training: 96%|█████████▋| 67527/70000 [23:55:16<53:46, 1.30s/step] Training: 96%|█████████▋| 67528/70000 [23:55:18<54:07, 1.31s/step] Training: 96%|█████████▋| 67529/70000 [23:55:19<52:34, 1.28s/step] Training: 96%|█████████▋| 67530/70000 [23:55:20<52:44, 1.28s/step] Training: 96%|█████████▋| 67531/70000 [23:55:21<51:33, 1.25s/step] Training: 96%|█████████▋| 67532/70000 [23:55:23<53:02, 1.29s/step] Training: 96%|█████████▋| 67533/70000 [23:55:24<53:29, 1.30s/step] Training: 96%|█████████▋| 67534/70000 [23:55:25<52:04, 1.27s/step] Training: 96%|█████████▋| 67535/70000 [23:55:27<52:58, 1.29s/step] Training: 96%|█████████▋| 67536/70000 [23:55:28<52:12, 1.27s/step] Training: 96%|█████████▋| 67537/70000 [23:55:29<51:10, 1.25s/step] Training: 96%|█████████▋| 67538/70000 [23:55:30<52:29, 1.28s/step] Training: 96%|█████████▋| 67539/70000 [23:55:32<51:13, 1.25s/step] Training: 96%|█████████▋| 67540/70000 [23:55:33<52:15, 1.27s/step] Training: 96%|█████████▋| 67541/70000 [23:55:34<52:56, 1.29s/step] Training: 96%|█████████▋| 67542/70000 [23:55:36<52:11, 1.27s/step] Training: 96%|█████████▋| 67543/70000 [23:55:37<52:53, 1.29s/step] Training: 96%|█████████▋| 67544/70000 [23:55:38<51:50, 1.27s/step] Training: 96%|█████████▋| 67545/70000 [23:55:39<50:55, 1.24s/step] Training: 96%|█████████▋| 67546/70000 [23:55:41<52:18, 1.28s/step] Training: 96%|█████████▋| 67547/70000 [23:55:42<51:04, 1.25s/step] Training: 96%|█████████▋| 67548/70000 [23:55:43<52:03, 1.27s/step] Training: 96%|█████████▋| 67549/70000 [23:55:44<52:42, 1.29s/step] Training: 96%|█████████▋| 67550/70000 [23:55:46<51:47, 1.27s/step] Training: 97%|█████████▋| 67551/70000 [23:55:47<51:06, 1.25s/step] Training: 97%|█████████▋| 67552/70000 [23:55:48<52:06, 1.28s/step] Training: 97%|█████████▋| 67553/70000 [23:55:49<51:03, 1.25s/step] Training: 97%|█████████▋| 67554/70000 [23:55:51<51:54, 1.27s/step] Training: 97%|█████████▋| 67555/70000 [23:55:52<52:43, 1.29s/step] Training: 97%|█████████▋| 67556/70000 [23:55:53<53:05, 1.30s/step] Training: 97%|█████████▋| 67557/70000 [23:55:55<53:19, 1.31s/step] Training: 97%|█████████▋| 67558/70000 [23:55:56<53:35, 1.32s/step] Training: 97%|█████████▋| 67559/70000 [23:55:57<53:49, 1.32s/step] Training: 97%|█████████▋| 67560/70000 [23:55:59<53:47, 1.32s/step] Training: 97%|█████████▋| 67561/70000 [23:56:00<52:13, 1.28s/step] Training: 97%|█████████▋| 67562/70000 [23:56:01<51:24, 1.27s/step] Training: 97%|█████████▋| 67563/70000 [23:56:03<52:19, 1.29s/step] Training: 97%|█████████▋| 67564/70000 [23:56:04<52:39, 1.30s/step] Training: 97%|█████████▋| 67565/70000 [23:56:05<54:22, 1.34s/step] Training: 97%|█████████▋| 67566/70000 [23:56:07<54:13, 1.34s/step] Training: 97%|█████████▋| 67567/70000 [23:56:08<52:26, 1.29s/step] Training: 97%|█████████▋| 67568/70000 [23:56:09<52:44, 1.30s/step] Training: 97%|█████████▋| 67569/70000 [23:56:10<51:20, 1.27s/step] Training: 97%|█████████▋| 67570/70000 [23:56:12<50:35, 1.25s/step] Training: 97%|█████████▋| 67571/70000 [23:56:13<51:23, 1.27s/step] Training: 97%|█████████▋| 67572/70000 [23:56:14<51:54, 1.28s/step] Training: 97%|█████████▋| 67573/70000 [23:56:15<52:26, 1.30s/step] Training: 97%|█████████▋| 67574/70000 [23:56:17<51:36, 1.28s/step] Training: 97%|█████████▋| 67575/70000 [23:56:18<50:32, 1.25s/step] Training: 97%|█████████▋| 67576/70000 [23:56:19<51:26, 1.27s/step] Training: 97%|█████████▋| 67577/70000 [23:56:20<50:27, 1.25s/step] Training: 97%|█████████▋| 67578/70000 [23:56:22<51:22, 1.27s/step] Training: 97%|█████████▋| 67579/70000 [23:56:23<52:24, 1.30s/step] Training: 97%|█████████▋| 67580/70000 [23:56:24<51:12, 1.27s/step] Training: 97%|█████████▋| 67581/70000 [23:56:26<53:02, 1.32s/step] Training: 97%|█████████▋| 67582/70000 [23:56:27<51:52, 1.29s/step] Training: 97%|█████████▋| 67583/70000 [23:56:28<50:41, 1.26s/step] Training: 97%|█████████▋| 67584/70000 [23:56:29<51:33, 1.28s/step] Training: 97%|█████████▋| 67585/70000 [23:56:31<50:26, 1.25s/step] Training: 97%|█████████▋| 67586/70000 [23:56:32<51:26, 1.28s/step] Training: 97%|█████████▋| 67587/70000 [23:56:33<50:49, 1.26s/step] Training: 97%|█████████▋| 67588/70000 [23:56:35<51:28, 1.28s/step] Training: 97%|█████████▋| 67589/70000 [23:56:36<51:57, 1.29s/step] Training: 97%|█████████▋| 67590/70000 [23:56:37<52:30, 1.31s/step] Training: 97%|█████████▋| 67591/70000 [23:56:38<51:06, 1.27s/step] Training: 97%|█████████▋| 67592/70000 [23:56:40<51:58, 1.30s/step] Training: 97%|█████████▋| 67593/70000 [23:56:41<50:44, 1.26s/step] Training: 97%|█████████▋| 67594/70000 [23:56:42<50:21, 1.26s/step] Training: 97%|█████████▋| 67595/70000 [23:56:43<49:31, 1.24s/step] Training: 97%|█████████▋| 67596/70000 [23:56:45<52:12, 1.30s/step] Training: 97%|█████████▋| 67597/70000 [23:56:46<52:26, 1.31s/step] Training: 97%|█████████▋| 67598/70000 [23:56:47<52:38, 1.31s/step] Training: 97%|█████████▋| 67599/70000 [23:56:49<51:08, 1.28s/step] Training: 97%|█████████▋| 67600/70000 [23:56:50<51:09, 1.28s/step]INFO 2026-03-13 20:06:42 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.30 loss:0.007 grdn:0.541 lr:1.1e-06 updt_s:1.258 data_s:0.019 Training: 97%|█████████▋| 67601/70000 [23:56:51<50:04, 1.25s/step] Training: 97%|█████████▋| 67602/70000 [23:56:52<49:28, 1.24s/step] Training: 97%|█████████▋| 67603/70000 [23:56:54<48:53, 1.22s/step] Training: 97%|█████████▋| 67604/70000 [23:56:55<51:19, 1.29s/step] Training: 97%|█████████▋| 67605/70000 [23:56:56<51:51, 1.30s/step] Training: 97%|█████████▋| 67606/70000 [23:56:58<50:55, 1.28s/step] Training: 97%|█████████▋| 67607/70000 [23:56:59<49:51, 1.25s/step] Training: 97%|█████████▋| 67608/70000 [23:57:00<49:23, 1.24s/step] Training: 97%|█████████▋| 67609/70000 [23:57:01<50:11, 1.26s/step] Training: 97%|█████████▋| 67610/70000 [23:57:03<51:06, 1.28s/step] Training: 97%|█████████▋| 67611/70000 [23:57:04<49:58, 1.26s/step] Training: 97%|█████████▋| 67612/70000 [23:57:05<51:10, 1.29s/step] Training: 97%|█████████▋| 67613/70000 [23:57:06<51:28, 1.29s/step] Training: 97%|█████████▋| 67614/70000 [23:57:08<50:31, 1.27s/step] Training: 97%|█████████▋| 67615/70000 [23:57:09<49:31, 1.25s/step] Training: 97%|█████████▋| 67616/70000 [23:57:10<50:34, 1.27s/step] Training: 97%|█████████▋| 67617/70000 [23:57:11<49:34, 1.25s/step] Training: 97%|█████████▋| 67618/70000 [23:57:13<50:28, 1.27s/step] Training: 97%|█████████▋| 67619/70000 [23:57:14<49:27, 1.25s/step] Training: 97%|█████████▋| 67620/70000 [23:57:15<50:31, 1.27s/step] Training: 97%|█████████▋| 67621/70000 [23:57:17<52:33, 1.33s/step] Training: 97%|█████████▋| 67622/70000 [23:57:18<52:30, 1.32s/step] Training: 97%|█████████▋| 67623/70000 [23:57:19<50:53, 1.28s/step] Training: 97%|█████████▋| 67624/70000 [23:57:21<51:53, 1.31s/step] Training: 97%|█████████▋| 67625/70000 [23:57:22<50:27, 1.27s/step] Training: 97%|█████████▋| 67626/70000 [23:57:23<49:50, 1.26s/step] Training: 97%|█████████▋| 67627/70000 [23:57:24<48:59, 1.24s/step] Training: 97%|█████████▋| 67628/70000 [23:57:25<50:00, 1.26s/step] Training: 97%|█████████▋| 67629/70000 [23:57:27<52:16, 1.32s/step] Training: 97%|█████████▋| 67630/70000 [23:57:28<52:17, 1.32s/step] Training: 97%|█████████▋| 67631/70000 [23:57:29<50:43, 1.28s/step] Training: 97%|█████████▋| 67632/70000 [23:57:31<50:25, 1.28s/step] Training: 97%|█████████▋| 67633/70000 [23:57:32<49:23, 1.25s/step] Training: 97%|█████████▋| 67634/70000 [23:57:33<48:50, 1.24s/step] Training: 97%|█████████▋| 67635/70000 [23:57:34<48:14, 1.22s/step] Training: 97%|█████████▋| 67636/70000 [23:57:36<49:32, 1.26s/step] Training: 97%|█████████▋| 67637/70000 [23:57:37<50:30, 1.28s/step] Training: 97%|█████████▋| 67638/70000 [23:57:38<52:32, 1.33s/step] Training: 97%|█████████▋| 67639/70000 [23:57:40<50:49, 1.29s/step] Training: 97%|█████████▋| 67640/70000 [23:57:41<51:08, 1.30s/step] Training: 97%|█████████▋| 67641/70000 [23:57:42<49:48, 1.27s/step] Training: 97%|█████████▋| 67642/70000 [23:57:43<50:33, 1.29s/step] Training: 97%|█████████▋| 67643/70000 [23:57:45<49:24, 1.26s/step] Training: 97%|█████████▋| 67644/70000 [23:57:46<48:47, 1.24s/step] Training: 97%|█████████▋| 67645/70000 [23:57:47<50:07, 1.28s/step] Training: 97%|█████████▋| 67646/70000 [23:57:48<49:19, 1.26s/step] Training: 97%|█████████▋| 67647/70000 [23:57:50<48:32, 1.24s/step] Training: 97%|█████████▋| 67648/70000 [23:57:51<49:36, 1.27s/step] Training: 97%|█████████▋| 67649/70000 [23:57:52<48:41, 1.24s/step] Training: 97%|█████████▋| 67650/70000 [23:57:53<49:35, 1.27s/step] Training: 97%|█████████▋| 67651/70000 [23:57:55<48:41, 1.24s/step] Training: 97%|█████████▋| 67652/70000 [23:57:56<49:38, 1.27s/step] Training: 97%|█████████▋| 67653/70000 [23:57:57<50:22, 1.29s/step] Training: 97%|█████████▋| 67654/70000 [23:57:59<50:57, 1.30s/step] Training: 97%|█████████▋| 67655/70000 [23:58:00<49:36, 1.27s/step] Training: 97%|█████████▋| 67656/70000 [23:58:01<49:20, 1.26s/step] Training: 97%|█████████▋| 67657/70000 [23:58:02<50:01, 1.28s/step] Training: 97%|█████████▋| 67658/70000 [23:58:04<49:21, 1.26s/step] Training: 97%|█████████▋| 67659/70000 [23:58:05<48:29, 1.24s/step] Training: 97%|█████████▋| 67660/70000 [23:58:06<49:33, 1.27s/step] Training: 97%|█████████▋| 67661/70000 [23:58:07<50:08, 1.29s/step] Training: 97%|█████████▋| 67662/70000 [23:58:09<51:39, 1.33s/step] Training: 97%|█████████▋| 67663/70000 [23:58:10<50:00, 1.28s/step] Training: 97%|█████████▋| 67664/70000 [23:58:11<49:02, 1.26s/step] Training: 97%|█████████▋| 67665/70000 [23:58:13<49:44, 1.28s/step] Training: 97%|█████████▋| 67666/70000 [23:58:14<48:55, 1.26s/step] Training: 97%|█████████▋| 67667/70000 [23:58:15<48:06, 1.24s/step] Training: 97%|█████████▋| 67668/70000 [23:58:16<49:07, 1.26s/step] Training: 97%|█████████▋| 67669/70000 [23:58:18<49:59, 1.29s/step] Training: 97%|█████████▋| 67670/70000 [23:58:19<49:43, 1.28s/step] Training: 97%|█████████▋| 67671/70000 [23:58:20<48:41, 1.25s/step] Training: 97%|█████████▋| 67672/70000 [23:58:22<49:49, 1.28s/step] Training: 97%|█████████▋| 67673/70000 [23:58:23<48:42, 1.26s/step] Training: 97%|█████████▋| 67674/70000 [23:58:24<49:29, 1.28s/step] Training: 97%|█████████▋| 67675/70000 [23:58:25<48:26, 1.25s/step] Training: 97%|█████████▋| 67676/70000 [23:58:26<48:04, 1.24s/step] Training: 97%|█████████▋| 67677/70000 [23:58:28<49:11, 1.27s/step] Training: 97%|█████████▋| 67678/70000 [23:58:29<48:39, 1.26s/step] Training: 97%|█████████▋| 67679/70000 [23:58:30<49:30, 1.28s/step] Training: 97%|█████████▋| 67680/70000 [23:58:32<50:05, 1.30s/step] Training: 97%|█████████▋| 67681/70000 [23:58:33<50:15, 1.30s/step] Training: 97%|█████████▋| 67682/70000 [23:58:34<50:38, 1.31s/step] Training: 97%|█████████▋| 67683/70000 [23:58:35<49:14, 1.28s/step] Training: 97%|█████████▋| 67684/70000 [23:58:37<49:48, 1.29s/step] Training: 97%|█████████▋| 67685/70000 [23:58:38<49:09, 1.27s/step] Training: 97%|█████████▋| 67686/70000 [23:58:39<49:59, 1.30s/step] Training: 97%|█████████▋| 67687/70000 [23:58:41<48:38, 1.26s/step] Training: 97%|█████████▋| 67688/70000 [23:58:42<48:15, 1.25s/step] Training: 97%|█████████▋| 67689/70000 [23:58:43<49:11, 1.28s/step] Training: 97%|█████████▋| 67690/70000 [23:58:44<48:37, 1.26s/step] Training: 97%|█████████▋| 67691/70000 [23:58:46<47:45, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=30957 Training: 97%|█████████▋| 67692/70000 [23:58:47<48:55, 1.27s/step] Training: 97%|█████████▋| 67693/70000 [23:58:48<49:41, 1.29s/step] Training: 97%|█████████▋| 67694/70000 [23:58:50<50:06, 1.30s/step] Training: 97%|█████████▋| 67695/70000 [23:58:51<50:27, 1.31s/step] Training: 97%|█████████▋| 67696/70000 [23:58:52<49:19, 1.28s/step] Training: 97%|█████████▋| 67697/70000 [23:58:53<48:32, 1.26s/step] Training: 97%|█████████▋| 67698/70000 [23:58:55<48:00, 1.25s/step] Training: 97%|█████████▋| 67699/70000 [23:58:56<47:15, 1.23s/step] Training: 97%|█████████▋| 67700/70000 [23:58:57<48:27, 1.26s/step]INFO 2026-03-13 20:08:49 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.38 loss:0.007 grdn:0.557 lr:1.1e-06 updt_s:1.250 data_s:0.019 Training: 97%|█████████▋| 67701/70000 [23:58:58<49:11, 1.28s/step] Training: 97%|█████████▋| 67702/70000 [23:59:00<48:44, 1.27s/step] Training: 97%|█████████▋| 67703/70000 [23:59:01<49:28, 1.29s/step] Training: 97%|█████████▋| 67704/70000 [23:59:02<49:51, 1.30s/step] Training: 97%|█████████▋| 67705/70000 [23:59:04<50:06, 1.31s/step] Training: 97%|█████████▋| 67706/70000 [23:59:05<50:21, 1.32s/step] Training: 97%|█████████▋| 67707/70000 [23:59:06<48:52, 1.28s/step] Training: 97%|█████████▋| 67708/70000 [23:59:07<47:57, 1.26s/step] Training: 97%|█████████▋| 67709/70000 [23:59:09<49:48, 1.30s/step] Training: 97%|█████████▋| 67710/70000 [23:59:10<48:40, 1.28s/step] Training: 97%|█████████▋| 67711/70000 [23:59:11<47:39, 1.25s/step] Training: 97%|█████████▋| 67712/70000 [23:59:13<48:34, 1.27s/step] Training: 97%|█████████▋| 67713/70000 [23:59:14<49:12, 1.29s/step] Training: 97%|█████████▋| 67714/70000 [23:59:15<49:36, 1.30s/step] Training: 97%|█████████▋| 67715/70000 [23:59:16<48:16, 1.27s/step] Training: 97%|█████████▋| 67716/70000 [23:59:18<49:15, 1.29s/step] Training: 97%|█████████▋| 67717/70000 [23:59:19<49:41, 1.31s/step] Training: 97%|█████████▋| 67718/70000 [23:59:20<49:54, 1.31s/step] Training: 97%|█████████▋| 67719/70000 [23:59:22<49:08, 1.29s/step] Training: 97%|█████████▋| 67720/70000 [23:59:23<48:28, 1.28s/step] Training: 97%|█████████▋| 67721/70000 [23:59:24<49:06, 1.29s/step] Training: 97%|█████████▋| 67722/70000 [23:59:25<48:28, 1.28s/step] Training: 97%|█████████▋| 67723/70000 [23:59:27<47:25, 1.25s/step] Training: 97%|█████████▋| 67724/70000 [23:59:28<48:22, 1.28s/step] Training: 97%|█████████▋| 67725/70000 [23:59:29<48:56, 1.29s/step] Training: 97%|█████████▋| 67726/70000 [23:59:31<49:20, 1.30s/step] Training: 97%|█████████▋| 67727/70000 [23:59:32<48:41, 1.29s/step] Training: 97%|█████████▋| 67728/70000 [23:59:33<47:46, 1.26s/step] Training: 97%|█████████▋| 67729/70000 [23:59:34<47:19, 1.25s/step] Training: 97%|█████████▋| 67730/70000 [23:59:36<46:59, 1.24s/step] Training: 97%|█████████▋| 67731/70000 [23:59:37<46:22, 1.23s/step] Training: 97%|█████████▋| 67732/70000 [23:59:38<47:34, 1.26s/step] Training: 97%|█████████▋| 67733/70000 [23:59:39<48:23, 1.28s/step] Training: 97%|█████████▋| 67734/70000 [23:59:41<47:43, 1.26s/step] Training: 97%|█████████▋| 67735/70000 [23:59:42<46:50, 1.24s/step] Training: 97%|█████████▋| 67736/70000 [23:59:43<49:11, 1.30s/step] Training: 97%|█████████▋| 67737/70000 [23:59:45<49:29, 1.31s/step] Training: 97%|█████████▋| 67738/70000 [23:59:46<49:40, 1.32s/step] Training: 97%|█████████▋| 67739/70000 [23:59:47<48:10, 1.28s/step] Training: 97%|█████████▋| 67740/70000 [23:59:48<47:34, 1.26s/step] Training: 97%|█████████▋| 67741/70000 [23:59:50<48:16, 1.28s/step] Training: 97%|█████████▋| 67742/70000 [23:59:51<47:31, 1.26s/step] Training: 97%|█████████▋| 67743/70000 [23:59:52<46:38, 1.24s/step] Training: 97%|█████████▋| 67744/70000 [23:59:53<48:20, 1.29s/step] Training: 97%|█████████▋| 67745/70000 [23:59:55<48:43, 1.30s/step] Training: 97%|█████████▋| 67746/70000 [23:59:56<49:08, 1.31s/step] Training: 97%|█████████▋| 67747/70000 [23:59:57<47:46, 1.27s/step] Training: 97%|█████████▋| 67748/70000 [23:59:59<48:22, 1.29s/step] Training: 97%|█████████▋| 67749/70000 [24:00:00<48:44, 1.30s/step] Training: 97%|█████████▋| 67750/70000 [24:00:01<49:02, 1.31s/step] Training: 97%|█████████▋| 67751/70000 [24:00:02<47:43, 1.27s/step] Training: 97%|█████████▋| 67752/70000 [24:00:04<47:09, 1.26s/step] Training: 97%|█████████▋| 67753/70000 [24:00:05<49:01, 1.31s/step] Training: 97%|█████████▋| 67754/70000 [24:00:06<48:08, 1.29s/step] Training: 97%|█████████▋| 67755/70000 [24:00:08<47:02, 1.26s/step] Training: 97%|█████████▋| 67756/70000 [24:00:09<47:47, 1.28s/step] Training: 97%|█████████▋| 67757/70000 [24:00:10<48:20, 1.29s/step] Training: 97%|█████████▋| 67758/70000 [24:00:12<49:00, 1.31s/step] Training: 97%|█████████▋| 67759/70000 [24:00:13<47:55, 1.28s/step] Training: 97%|█████████▋| 67760/70000 [24:00:14<48:44, 1.31s/step] Training: 97%|█████████▋| 67761/70000 [24:00:15<47:37, 1.28s/step] Training: 97%|█████████▋| 67762/70000 [24:00:17<46:51, 1.26s/step] Training: 97%|█████████▋| 67763/70000 [24:00:18<46:04, 1.24s/step] Training: 97%|█████████▋| 67764/70000 [24:00:19<47:04, 1.26s/step] Training: 97%|█████████▋| 67765/70000 [24:00:20<48:00, 1.29s/step] Training: 97%|█████████▋| 67766/70000 [24:00:22<47:15, 1.27s/step] Training: 97%|█████████▋| 67767/70000 [24:00:23<46:18, 1.24s/step] Training: 97%|█████████▋| 67768/70000 [24:00:24<47:13, 1.27s/step] Training: 97%|█████████▋| 67769/70000 [24:00:26<49:01, 1.32s/step] Training: 97%|█████████▋| 67770/70000 [24:00:27<47:33, 1.28s/step] Training: 97%|█████████▋| 67771/70000 [24:00:28<48:03, 1.29s/step] Training: 97%|█████████▋| 67772/70000 [24:00:29<47:04, 1.27s/step] Training: 97%|█████████▋| 67773/70000 [24:00:31<47:43, 1.29s/step] Training: 97%|█████████▋| 67774/70000 [24:00:32<47:00, 1.27s/step] Training: 97%|█████████▋| 67775/70000 [24:00:33<46:05, 1.24s/step] Training: 97%|█████████▋| 67776/70000 [24:00:34<46:59, 1.27s/step] Training: 97%|█████████▋| 67777/70000 [24:00:36<49:04, 1.32s/step] Training: 97%|█████████▋| 67778/70000 [24:00:37<47:33, 1.28s/step] Training: 97%|█████████▋| 67779/70000 [24:00:38<47:04, 1.27s/step] Training: 97%|█████████▋| 67780/70000 [24:00:40<47:39, 1.29s/step] Training: 97%|█████████▋| 67781/70000 [24:00:41<47:05, 1.27s/step] Training: 97%|█████████▋| 67782/70000 [24:00:42<47:55, 1.30s/step] Training: 97%|█████████▋| 67783/70000 [24:00:43<46:42, 1.26s/step] Training: 97%|█████████▋| 67784/70000 [24:00:45<46:14, 1.25s/step] Training: 97%|█████████▋| 67785/70000 [24:00:46<47:07, 1.28s/step] Training: 97%|█████████▋| 67786/70000 [24:00:47<46:08, 1.25s/step] Training: 97%|█████████▋| 67787/70000 [24:00:48<45:42, 1.24s/step] Training: 97%|█████████▋| 67788/70000 [24:00:50<46:49, 1.27s/step] Training: 97%|█████████▋| 67789/70000 [24:00:51<47:24, 1.29s/step] Training: 97%|█████████▋| 67790/70000 [24:00:52<46:16, 1.26s/step] Training: 97%|█████████▋| 67791/70000 [24:00:53<46:55, 1.27s/step] Training: 97%|█████████▋| 67792/70000 [24:00:55<46:17, 1.26s/step] Training: 97%|█████████▋| 67793/70000 [24:00:56<46:18, 1.26s/step] Training: 97%|█████████▋| 67794/70000 [24:00:57<45:36, 1.24s/step] Training: 97%|█████████▋| 67795/70000 [24:00:58<46:31, 1.27s/step] Training: 97%|█████████▋| 67796/70000 [24:01:00<47:10, 1.28s/step] Training: 97%|█████████▋| 67797/70000 [24:01:01<47:44, 1.30s/step] Training: 97%|█████████▋| 67798/70000 [24:01:02<46:31, 1.27s/step] Training: 97%|█████████▋| 67799/70000 [24:01:04<46:51, 1.28s/step] Training: 97%|█████████▋| 67800/70000 [24:01:05<47:24, 1.29s/step]INFO 2026-03-13 20:10:57 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.47 loss:0.007 grdn:0.551 lr:1.1e-06 updt_s:1.258 data_s:0.019 Training: 97%|█████████▋| 67801/70000 [24:01:06<47:40, 1.30s/step] Training: 97%|█████████▋| 67802/70000 [24:01:07<46:25, 1.27s/step] Training: 97%|█████████▋| 67803/70000 [24:01:09<47:10, 1.29s/step] Training: 97%|█████████▋| 67804/70000 [24:01:10<46:21, 1.27s/step] Training: 97%|█████████▋| 67805/70000 [24:01:11<47:29, 1.30s/step] Training: 97%|█████████▋| 67806/70000 [24:01:13<46:17, 1.27s/step] Training: 97%|█████████▋| 67807/70000 [24:01:14<45:24, 1.24s/step] Training: 97%|█████████▋| 67808/70000 [24:01:15<46:20, 1.27s/step] Training: 97%|█████████▋| 67809/70000 [24:01:16<46:57, 1.29s/step] Training: 97%|█████████▋| 67810/70000 [24:01:18<47:35, 1.30s/step] Training: 97%|█████████▋| 67811/70000 [24:01:19<47:42, 1.31s/step] Training: 97%|█████████▋| 67812/70000 [24:01:20<47:52, 1.31s/step] Training: 97%|█████████▋| 67813/70000 [24:01:22<47:08, 1.29s/step] Training: 97%|█████████▋| 67814/70000 [24:01:23<46:01, 1.26s/step] Training: 97%|█████████▋| 67815/70000 [24:01:24<46:25, 1.28s/step] Training: 97%|█████████▋| 67816/70000 [24:01:25<45:51, 1.26s/step] Training: 97%|█████████▋| 67817/70000 [24:01:27<46:33, 1.28s/step] Training: 97%|█████████▋| 67818/70000 [24:01:28<46:33, 1.28s/step] Training: 97%|█████████▋| 67819/70000 [24:01:29<45:48, 1.26s/step] Training: 97%|█████████▋| 67820/70000 [24:01:31<46:39, 1.28s/step] Training: 97%|█████████▋| 67821/70000 [24:01:32<47:11, 1.30s/step] Training: 97%|█████████▋| 67822/70000 [24:01:33<45:58, 1.27s/step] Training: 97%|█████████▋| 67823/70000 [24:01:34<46:39, 1.29s/step] Training: 97%|█████████▋| 67824/70000 [24:01:36<45:45, 1.26s/step] Training: 97%|█████████▋| 67825/70000 [24:01:37<45:05, 1.24s/step] Training: 97%|█████████▋| 67826/70000 [24:01:38<46:16, 1.28s/step] Training: 97%|█████████▋| 67827/70000 [24:01:39<46:43, 1.29s/step] Training: 97%|█████████▋| 67828/70000 [24:01:41<47:04, 1.30s/step] Training: 97%|█████████▋| 67829/70000 [24:01:42<47:20, 1.31s/step] Training: 97%|█████████▋| 67830/70000 [24:01:43<46:00, 1.27s/step] Training: 97%|█████████▋| 67831/70000 [24:01:45<45:19, 1.25s/step] Training: 97%|█████████▋| 67832/70000 [24:01:46<46:14, 1.28s/step] Training: 97%|█████████▋| 67833/70000 [24:01:47<46:43, 1.29s/step] Training: 97%|█████████▋| 67834/70000 [24:01:49<47:17, 1.31s/step] Training: 97%|█████████▋| 67835/70000 [24:01:50<47:17, 1.31s/step] Training: 97%|█████████▋| 67836/70000 [24:01:51<46:06, 1.28s/step] Training: 97%|█████████▋| 67837/70000 [24:01:52<46:57, 1.30s/step] Training: 97%|█████████▋| 67838/70000 [24:01:54<45:42, 1.27s/step] Training: 97%|█████████▋| 67839/70000 [24:01:55<46:23, 1.29s/step] Training: 97%|█████████▋| 67840/70000 [24:01:56<46:48, 1.30s/step] Training: 97%|█████████▋| 67841/70000 [24:01:58<47:05, 1.31s/step] Training: 97%|█████████▋| 67842/70000 [24:01:59<45:46, 1.27s/step] Training: 97%|█████████▋| 67843/70000 [24:02:00<47:20, 1.32s/step] Training: 97%|█████████▋| 67844/70000 [24:02:02<47:27, 1.32s/step] Training: 97%|█████████▋| 67845/70000 [24:02:03<46:34, 1.30s/step] Training: 97%|█████████▋| 67846/70000 [24:02:04<45:23, 1.26s/step] Training: 97%|█████████▋| 67847/70000 [24:02:05<46:01, 1.28s/step] Training: 97%|█████████▋| 67848/70000 [24:02:07<45:24, 1.27s/step] Training: 97%|█████████▋| 67849/70000 [24:02:08<46:02, 1.28s/step] Training: 97%|█████████▋| 67850/70000 [24:02:09<44:59, 1.26s/step] Training: 97%|█████████▋| 67851/70000 [24:02:10<45:55, 1.28s/step] Training: 97%|█████████▋| 67852/70000 [24:02:12<46:14, 1.29s/step] Training: 97%|█████████▋| 67853/70000 [24:02:13<45:27, 1.27s/step] Training: 97%|█████████▋| 67854/70000 [24:02:14<45:33, 1.27s/step] Training: 97%|█████████▋| 67855/70000 [24:02:16<46:08, 1.29s/step] Training: 97%|█████████▋| 67856/70000 [24:02:17<45:17, 1.27s/step] Training: 97%|█████████▋| 67857/70000 [24:02:18<44:44, 1.25s/step] Training: 97%|█████████▋| 67858/70000 [24:02:19<44:05, 1.23s/step] Training: 97%|█████████▋| 67859/70000 [24:02:21<45:58, 1.29s/step] Training: 97%|█████████▋| 67860/70000 [24:02:22<46:20, 1.30s/step] Training: 97%|█████████▋| 67861/70000 [24:02:23<45:14, 1.27s/step] Training: 97%|█████████▋| 67862/70000 [24:02:24<45:41, 1.28s/step] Training: 97%|█████████▋| 67863/70000 [24:02:26<44:57, 1.26s/step] Training: 97%|█████████▋| 67864/70000 [24:02:27<45:40, 1.28s/step] Training: 97%|█████████▋| 67865/70000 [24:02:28<46:10, 1.30s/step] Training: 97%|█████████▋| 67866/70000 [24:02:29<45:03, 1.27s/step] Training: 97%|█████████▋| 67867/70000 [24:02:31<46:05, 1.30s/step] Training: 97%|█████████▋| 67868/70000 [24:02:32<44:59, 1.27s/step] Training: 97%|█████████▋| 67869/70000 [24:02:33<46:04, 1.30s/step] Training: 97%|█████████▋| 67870/70000 [24:02:35<44:52, 1.26s/step] Training: 97%|█████████▋| 67871/70000 [24:02:36<45:36, 1.29s/step] Training: 97%|█████████▋| 67872/70000 [24:02:37<46:06, 1.30s/step] Training: 97%|█████████▋| 67873/70000 [24:02:39<46:23, 1.31s/step] Training: 97%|█████████▋| 67874/70000 [24:02:40<45:08, 1.27s/step] Training: 97%|█████████▋| 67875/70000 [24:02:41<45:37, 1.29s/step] Training: 97%|█████████▋| 67876/70000 [24:02:42<46:00, 1.30s/step] Training: 97%|█████████▋| 67877/70000 [24:02:44<45:16, 1.28s/step] Training: 97%|█████████▋| 67878/70000 [24:02:45<44:17, 1.25s/step] Training: 97%|█████████▋| 67879/70000 [24:02:46<45:04, 1.28s/step] Training: 97%|█████████▋| 67880/70000 [24:02:47<44:45, 1.27s/step] Training: 97%|█████████▋| 67881/70000 [24:02:49<45:18, 1.28s/step] Training: 97%|█████████▋| 67882/70000 [24:02:50<44:19, 1.26s/step] Training: 97%|█████████▋| 67883/70000 [24:02:51<43:57, 1.25s/step] Training: 97%|█████████▋| 67884/70000 [24:02:53<46:02, 1.31s/step] Training: 97%|█████████▋| 67885/70000 [24:02:54<46:17, 1.31s/step] Training: 97%|█████████▋| 67886/70000 [24:02:55<44:57, 1.28s/step] Training: 97%|█████████▋| 67887/70000 [24:02:56<45:29, 1.29s/step] Training: 97%|█████████▋| 67888/70000 [24:02:58<44:32, 1.27s/step] Training: 97%|█████████▋| 67889/70000 [24:02:59<44:00, 1.25s/step] Training: 97%|█████████▋| 67890/70000 [24:03:00<43:20, 1.23s/step] Training: 97%|█████████▋| 67891/70000 [24:03:01<44:23, 1.26s/step] Training: 97%|█████████▋| 67892/70000 [24:03:03<46:00, 1.31s/step] Training: 97%|█████████▋| 67893/70000 [24:03:04<46:13, 1.32s/step] Training: 97%|█████████▋| 67894/70000 [24:03:05<44:57, 1.28s/step] Training: 97%|█████████▋| 67895/70000 [24:03:07<44:13, 1.26s/step] Training: 97%|█████████▋| 67896/70000 [24:03:08<45:22, 1.29s/step] Training: 97%|█████████▋| 67897/70000 [24:03:09<45:37, 1.30s/step] Training: 97%|█████████▋| 67898/70000 [24:03:10<44:29, 1.27s/step] Training: 97%|█████████▋| 67899/70000 [24:03:12<45:00, 1.29s/step] Training: 97%|█████████▋| 67900/70000 [24:03:13<45:38, 1.30s/step]INFO 2026-03-13 20:13:05 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.55 loss:0.007 grdn:0.669 lr:1.1e-06 updt_s:1.261 data_s:0.019 Training: 97%|█████████▋| 67901/70000 [24:03:14<46:06, 1.32s/step] Training: 97%|█████████▋| 67902/70000 [24:03:16<44:46, 1.28s/step] Training: 97%|█████████▋| 67903/70000 [24:03:17<45:17, 1.30s/step] Training: 97%|█████████▋| 67904/70000 [24:03:18<46:01, 1.32s/step] Training: 97%|█████████▋| 67905/70000 [24:03:20<46:07, 1.32s/step] Training: 97%|█████████▋| 67906/70000 [24:03:21<44:44, 1.28s/step] Training: 97%|█████████▋| 67907/70000 [24:03:22<45:07, 1.29s/step] Training: 97%|█████████▋| 67908/70000 [24:03:24<45:28, 1.30s/step] Training: 97%|█████████▋| 67909/70000 [24:03:25<45:48, 1.31s/step] Training: 97%|█████████▋| 67910/70000 [24:03:26<44:22, 1.27s/step] Training: 97%|█████████▋| 67911/70000 [24:03:27<44:53, 1.29s/step] Training: 97%|█████████▋| 67912/70000 [24:03:29<44:21, 1.27s/step] Training: 97%|█████████▋| 67913/70000 [24:03:30<44:55, 1.29s/step] Training: 97%|█████████▋| 67914/70000 [24:03:31<43:49, 1.26s/step] Training: 97%|█████████▋| 67915/70000 [24:03:32<43:14, 1.24s/step] Training: 97%|█████████▋| 67916/70000 [24:03:34<44:11, 1.27s/step] Training: 97%|█████████▋| 67917/70000 [24:03:35<45:39, 1.32s/step] Training: 97%|█████████▋| 67918/70000 [24:03:36<44:18, 1.28s/step] Training: 97%|█████████▋| 67919/70000 [24:03:38<43:49, 1.26s/step] Training: 97%|█████████▋| 67920/70000 [24:03:39<43:17, 1.25s/step] Training: 97%|█████████▋| 67921/70000 [24:03:40<42:50, 1.24s/step] Training: 97%|█████████▋| 67922/70000 [24:03:41<42:23, 1.22s/step] Training: 97%|█████████▋| 67923/70000 [24:03:42<43:28, 1.26s/step] Training: 97%|█████████▋| 67924/70000 [24:03:44<43:15, 1.25s/step] Training: 97%|█████████▋| 67925/70000 [24:03:45<44:01, 1.27s/step] Training: 97%|█████████▋| 67926/70000 [24:03:46<43:08, 1.25s/step] Training: 97%|█████████▋| 67927/70000 [24:03:47<42:48, 1.24s/step] Training: 97%|█████████▋| 67928/70000 [24:03:49<43:55, 1.27s/step] Training: 97%|█████████▋| 67929/70000 [24:03:50<44:27, 1.29s/step] Training: 97%|█████████▋| 67930/70000 [24:03:51<43:26, 1.26s/step] Training: 97%|█████████▋| 67931/70000 [24:03:53<44:07, 1.28s/step] Training: 97%|█████████▋| 67932/70000 [24:03:54<43:23, 1.26s/step] Training: 97%|█████████▋| 67933/70000 [24:03:55<43:15, 1.26s/step] Training: 97%|█████████▋| 67934/70000 [24:03:56<42:33, 1.24s/step] Training: 97%|█████████▋| 67935/70000 [24:03:58<43:35, 1.27s/step] Training: 97%|█████████▋| 67936/70000 [24:03:59<44:16, 1.29s/step] Training: 97%|█████████▋| 67937/70000 [24:04:00<44:39, 1.30s/step] Training: 97%|█████████▋| 67938/70000 [24:04:01<43:30, 1.27s/step] Training: 97%|█████████▋| 67939/70000 [24:04:03<44:14, 1.29s/step] Training: 97%|█████████▋| 67940/70000 [24:04:04<44:36, 1.30s/step] Training: 97%|█████████▋| 67941/70000 [24:04:06<45:11, 1.32s/step] Training: 97%|█████████▋| 67942/70000 [24:04:07<43:47, 1.28s/step] Training: 97%|█████████▋| 67943/70000 [24:04:08<44:21, 1.29s/step] Training: 97%|█████████▋| 67944/70000 [24:04:09<43:45, 1.28s/step] Training: 97%|█████████▋| 67945/70000 [24:04:11<44:15, 1.29s/step] Training: 97%|█████████▋| 67946/70000 [24:04:12<43:13, 1.26s/step] Training: 97%|█████████▋| 67947/70000 [24:04:13<42:36, 1.25s/step] Training: 97%|█████████▋| 67948/70000 [24:04:14<43:28, 1.27s/step] Training: 97%|█████████▋| 67949/70000 [24:04:16<44:06, 1.29s/step] Training: 97%|█████████▋| 67950/70000 [24:04:17<44:32, 1.30s/step] Training: 97%|█████████▋| 67951/70000 [24:04:18<43:36, 1.28s/step] Training: 97%|█████████▋| 67952/70000 [24:04:19<42:56, 1.26s/step] Training: 97%|█████████▋| 67953/70000 [24:04:21<42:31, 1.25s/step] Training: 97%|█████████▋| 67954/70000 [24:04:22<41:55, 1.23s/step] Training: 97%|█████████▋| 67955/70000 [24:04:23<42:57, 1.26s/step] Training: 97%|█████████▋| 67956/70000 [24:04:24<42:43, 1.25s/step] Training: 97%|█████████▋| 67957/70000 [24:04:26<43:24, 1.27s/step] Training: 97%|█████████▋| 67958/70000 [24:04:27<43:13, 1.27s/step] Training: 97%|█████████▋| 67959/70000 [24:04:28<42:45, 1.26s/step] Training: 97%|█████████▋| 67960/70000 [24:04:30<43:30, 1.28s/step] Training: 97%|█████████▋| 67961/70000 [24:04:31<43:56, 1.29s/step] Training: 97%|█████████▋| 67962/70000 [24:04:32<42:50, 1.26s/step] Training: 97%|█████████▋| 67963/70000 [24:04:33<43:28, 1.28s/step] Training: 97%|█████████▋| 67964/70000 [24:04:35<42:55, 1.27s/step] Training: 97%|█████████▋| 67965/70000 [24:04:36<43:59, 1.30s/step] Training: 97%|█████████▋| 67966/70000 [24:04:37<42:51, 1.26s/step] Training: 97%|█████████▋| 67967/70000 [24:04:39<44:34, 1.32s/step] Training: 97%|█████████▋| 67968/70000 [24:04:40<44:40, 1.32s/step] Training: 97%|█████████▋| 67969/70000 [24:04:41<44:45, 1.32s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=54374 Training: 97%|█████████▋| 67970/70000 [24:04:42<43:24, 1.28s/step] Training: 97%|█████████▋| 67971/70000 [24:04:44<43:56, 1.30s/step] Training: 97%|█████████▋| 67972/70000 [24:04:45<44:23, 1.31s/step] Training: 97%|█████████▋| 67973/70000 [24:04:46<44:32, 1.32s/step] Training: 97%|█████████▋| 67974/70000 [24:04:48<45:00, 1.33s/step] Training: 97%|█████████▋| 67975/70000 [24:04:49<44:51, 1.33s/step] Training: 97%|█████████▋| 67976/70000 [24:04:50<43:54, 1.30s/step] Training: 97%|█████████▋| 67977/70000 [24:04:52<44:07, 1.31s/step] Training: 97%|█████████▋| 67978/70000 [24:04:53<42:55, 1.27s/step] Training: 97%|█████████▋| 67979/70000 [24:04:54<42:14, 1.25s/step] Training: 97%|█████████▋| 67980/70000 [24:04:55<43:00, 1.28s/step] Training: 97%|█████████▋| 67981/70000 [24:04:57<43:30, 1.29s/step] Training: 97%|█████████▋| 67982/70000 [24:04:58<42:27, 1.26s/step] Training: 97%|█████████▋| 67983/70000 [24:04:59<43:26, 1.29s/step] Training: 97%|█████████▋| 67984/70000 [24:05:01<42:35, 1.27s/step] Training: 97%|█████████▋| 67985/70000 [24:05:02<41:53, 1.25s/step] Training: 97%|█████████▋| 67986/70000 [24:05:03<41:22, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=54374 Training: 97%|█████████▋| 67987/70000 [24:05:04<42:23, 1.26s/step] Training: 97%|█████████▋| 67988/70000 [24:05:06<42:03, 1.25s/step] Training: 97%|█████████▋| 67989/70000 [24:05:07<42:50, 1.28s/step] Training: 97%|█████████▋| 67990/70000 [24:05:08<41:58, 1.25s/step] Training: 97%|█████████▋| 67991/70000 [24:05:09<42:57, 1.28s/step] Training: 97%|█████████▋| 67992/70000 [24:05:11<43:17, 1.29s/step] Training: 97%|█████████▋| 67993/70000 [24:05:12<43:41, 1.31s/step] Training: 97%|█████████▋| 67994/70000 [24:05:13<42:31, 1.27s/step] Training: 97%|█████████▋| 67995/70000 [24:05:15<43:01, 1.29s/step] Training: 97%|█████████▋| 67996/70000 [24:05:16<42:07, 1.26s/step] Training: 97%|█████████▋| 67997/70000 [24:05:17<43:01, 1.29s/step] Training: 97%|█████████▋| 67998/70000 [24:05:18<41:59, 1.26s/step] Training: 97%|█████████▋| 67999/70000 [24:05:20<42:41, 1.28s/step] Training: 97%|█████████▋| 68000/70000 [24:05:21<43:06, 1.29s/step]INFO 2026-03-13 20:15:13 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.64 loss:0.007 grdn:0.557 lr:1.1e-06 updt_s:1.257 data_s:0.019 Training: 97%|█████████▋| 68001/70000 [24:05:22<43:28, 1.31s/step] Training: 97%|█████████▋| 68002/70000 [24:05:23<42:22, 1.27s/step] Training: 97%|█████████▋| 68003/70000 [24:05:25<42:47, 1.29s/step] Training: 97%|█████████▋| 68004/70000 [24:05:26<43:12, 1.30s/step] Training: 97%|█████████▋| 68005/70000 [24:05:27<43:30, 1.31s/step] Training: 97%|█████████▋| 68006/70000 [24:05:29<42:17, 1.27s/step] Training: 97%|█████████▋| 68007/70000 [24:05:30<43:25, 1.31s/step] Training: 97%|█████████▋| 68008/70000 [24:05:31<42:31, 1.28s/step] Training: 97%|█████████▋| 68009/70000 [24:05:33<42:52, 1.29s/step] Training: 97%|█████████▋| 68010/70000 [24:05:34<41:53, 1.26s/step] Training: 97%|█████████▋| 68011/70000 [24:05:35<41:17, 1.25s/step] Training: 97%|█████████▋| 68012/70000 [24:05:36<42:07, 1.27s/step] Training: 97%|█████████▋| 68013/70000 [24:05:38<42:38, 1.29s/step] Training: 97%|█████████▋| 68014/70000 [24:05:39<41:42, 1.26s/step] Training: 97%|█████████▋| 68015/70000 [24:05:40<41:49, 1.26s/step] Training: 97%|█████████▋| 68016/70000 [24:05:41<41:06, 1.24s/step] Training: 97%|█████████▋| 68017/70000 [24:05:42<40:42, 1.23s/step] Training: 97%|█████████▋| 68018/70000 [24:05:44<40:16, 1.22s/step] Training: 97%|█████████▋| 68019/70000 [24:05:45<41:21, 1.25s/step] Training: 97%|█████████▋| 68020/70000 [24:05:46<41:05, 1.25s/step] Training: 97%|█████████▋| 68021/70000 [24:05:48<41:52, 1.27s/step] Training: 97%|█████████▋| 68022/70000 [24:05:49<41:03, 1.25s/step] Training: 97%|█████████▋| 68023/70000 [24:05:50<40:48, 1.24s/step] Training: 97%|█████████▋| 68024/70000 [24:05:51<42:49, 1.30s/step] Training: 97%|█████████▋| 68025/70000 [24:05:53<43:04, 1.31s/step] Training: 97%|█████████▋| 68026/70000 [24:05:54<41:52, 1.27s/step] Training: 97%|█████████▋| 68027/70000 [24:05:55<42:21, 1.29s/step] Training: 97%|█████████▋| 68028/70000 [24:05:56<41:29, 1.26s/step] Training: 97%|█████████▋| 68029/70000 [24:05:58<42:30, 1.29s/step] Training: 97%|█████████▋| 68030/70000 [24:05:59<41:28, 1.26s/step] Training: 97%|█████████▋| 68031/70000 [24:06:00<42:07, 1.28s/step] Training: 97%|█████████▋| 68032/70000 [24:06:02<43:26, 1.32s/step] Training: 97%|█████████▋| 68033/70000 [24:06:03<43:32, 1.33s/step] Training: 97%|█████████▋| 68034/70000 [24:06:04<42:12, 1.29s/step] Training: 97%|█████████▋| 68035/70000 [24:06:06<42:31, 1.30s/step] Training: 97%|█████████▋| 68036/70000 [24:06:07<42:52, 1.31s/step] Training: 97%|█████████▋| 68037/70000 [24:06:08<42:59, 1.31s/step] Training: 97%|█████████▋| 68038/70000 [24:06:09<41:44, 1.28s/step] Training: 97%|█████████▋| 68039/70000 [24:06:11<42:10, 1.29s/step] Training: 97%|█████████▋| 68040/70000 [24:06:12<43:04, 1.32s/step] Training: 97%|█████████▋| 68041/70000 [24:06:14<43:07, 1.32s/step] Training: 97%|█████████▋| 68042/70000 [24:06:15<41:51, 1.28s/step] Training: 97%|█████████▋| 68043/70000 [24:06:16<41:10, 1.26s/step] Training: 97%|█████████▋| 68044/70000 [24:06:17<41:50, 1.28s/step] Training: 97%|█████████▋| 68045/70000 [24:06:19<42:16, 1.30s/step] Training: 97%|█████████▋| 68046/70000 [24:06:20<41:11, 1.26s/step] Training: 97%|█████████▋| 68047/70000 [24:06:21<40:44, 1.25s/step] Training: 97%|█████████▋| 68048/70000 [24:06:22<41:51, 1.29s/step] Training: 97%|█████████▋| 68049/70000 [24:06:24<41:05, 1.26s/step] Training: 97%|█████████▋| 68050/70000 [24:06:25<40:22, 1.24s/step] Training: 97%|█████████▋| 68051/70000 [24:06:26<41:13, 1.27s/step] Training: 97%|█████████▋| 68052/70000 [24:06:27<40:49, 1.26s/step] Training: 97%|█████████▋| 68053/70000 [24:06:29<41:27, 1.28s/step] Training: 97%|█████████▋| 68054/70000 [24:06:30<40:35, 1.25s/step] Training: 97%|█████████▋| 68055/70000 [24:06:31<40:10, 1.24s/step] Training: 97%|█████████▋| 68056/70000 [24:06:32<41:16, 1.27s/step] Training: 97%|█████████▋| 68057/70000 [24:06:34<42:50, 1.32s/step] Training: 97%|█████████▋| 68058/70000 [24:06:35<41:30, 1.28s/step] Training: 97%|█████████▋| 68059/70000 [24:06:36<41:56, 1.30s/step] Training: 97%|█████████▋| 68060/70000 [24:06:38<41:02, 1.27s/step] Training: 97%|█████████▋| 68061/70000 [24:06:39<41:56, 1.30s/step] Training: 97%|█████████▋| 68062/70000 [24:06:40<40:51, 1.26s/step] Training: 97%|█████████▋| 68063/70000 [24:06:41<41:30, 1.29s/step] Training: 97%|█████████▋| 68064/70000 [24:06:43<41:54, 1.30s/step] Training: 97%|█████████▋| 68065/70000 [24:06:44<43:20, 1.34s/step] Training: 97%|█████████▋| 68066/70000 [24:06:45<41:51, 1.30s/step] Training: 97%|█████████▋| 68067/70000 [24:06:47<42:04, 1.31s/step] Training: 97%|█████████▋| 68068/70000 [24:06:48<42:17, 1.31s/step] Training: 97%|█████████▋| 68069/70000 [24:06:49<42:28, 1.32s/step] Training: 97%|█████████▋| 68070/70000 [24:06:51<41:13, 1.28s/step] Training: 97%|█████████▋| 68071/70000 [24:06:52<41:37, 1.29s/step] Training: 97%|█████████▋| 68072/70000 [24:06:53<40:55, 1.27s/step] Training: 97%|█████████▋| 68073/70000 [24:06:54<41:23, 1.29s/step] Training: 97%|█████████▋| 68074/70000 [24:06:56<40:26, 1.26s/step] Training: 97%|█████████▋| 68075/70000 [24:06:57<39:58, 1.25s/step] Training: 97%|█████████▋| 68076/70000 [24:06:58<40:44, 1.27s/step] Training: 97%|█████████▋| 68077/70000 [24:07:00<41:17, 1.29s/step] Training: 97%|█████████▋| 68078/70000 [24:07:01<40:17, 1.26s/step] Training: 97%|█████████▋| 68079/70000 [24:07:02<39:59, 1.25s/step] Training: 97%|█████████▋| 68080/70000 [24:07:03<39:33, 1.24s/step] Training: 97%|█████████▋| 68081/70000 [24:07:04<39:51, 1.25s/step] Training: 97%|█████████▋| 68082/70000 [24:07:06<39:17, 1.23s/step] Training: 97%|█████████▋| 68083/70000 [24:07:07<40:16, 1.26s/step] Training: 97%|█████████▋| 68084/70000 [24:07:08<39:58, 1.25s/step] Training: 97%|█████████▋| 68085/70000 [24:07:10<40:43, 1.28s/step] Training: 97%|█████████▋| 68086/70000 [24:07:11<39:52, 1.25s/step] Training: 97%|█████████▋| 68087/70000 [24:07:12<39:32, 1.24s/step] Training: 97%|█████████▋| 68088/70000 [24:07:13<40:28, 1.27s/step] Training: 97%|█████████▋| 68089/70000 [24:07:15<41:01, 1.29s/step] Training: 97%|█████████▋| 68090/70000 [24:07:16<40:09, 1.26s/step] Training: 97%|█████████▋| 68091/70000 [24:07:17<40:47, 1.28s/step] Training: 97%|█████████▋| 68092/70000 [24:07:18<40:06, 1.26s/step] Training: 97%|█████████▋| 68093/70000 [24:07:20<41:00, 1.29s/step] Training: 97%|█████████▋| 68094/70000 [24:07:21<40:03, 1.26s/step] Training: 97%|█████████▋| 68095/70000 [24:07:22<40:41, 1.28s/step] Training: 97%|█████████▋| 68096/70000 [24:07:24<41:04, 1.29s/step] Training: 97%|█████████▋| 68097/70000 [24:07:25<41:17, 1.30s/step] Training: 97%|█████████▋| 68098/70000 [24:07:26<41:37, 1.31s/step] Training: 97%|█████████▋| 68099/70000 [24:07:28<41:38, 1.31s/step] Training: 97%|█████████▋| 68100/70000 [24:07:29<41:48, 1.32s/step]INFO 2026-03-13 20:17:21 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.72 loss:0.007 grdn:0.681 lr:1.0e-06 updt_s:1.258 data_s:0.019 Training: 97%|█████████▋| 68101/70000 [24:07:30<41:53, 1.32s/step] Training: 97%|█████████▋| 68102/70000 [24:07:31<40:34, 1.28s/step] Training: 97%|█████████▋| 68103/70000 [24:07:33<41:04, 1.30s/step] Training: 97%|█████████▋| 68104/70000 [24:07:34<40:28, 1.28s/step] Training: 97%|█████████▋| 68105/70000 [24:07:35<40:50, 1.29s/step] Training: 97%|█████████▋| 68106/70000 [24:07:37<40:44, 1.29s/step] Training: 97%|█████████▋| 68107/70000 [24:07:38<39:50, 1.26s/step] Training: 97%|█████████▋| 68108/70000 [24:07:39<40:26, 1.28s/step] Training: 97%|█████████▋| 68109/70000 [24:07:40<40:51, 1.30s/step] Training: 97%|█████████▋| 68110/70000 [24:07:42<39:50, 1.26s/step] Training: 97%|█████████▋| 68111/70000 [24:07:43<39:30, 1.25s/step] Training: 97%|█████████▋| 68112/70000 [24:07:44<39:07, 1.24s/step] Training: 97%|█████████▋| 68113/70000 [24:07:45<38:41, 1.23s/step] Training: 97%|█████████▋| 68114/70000 [24:07:47<39:47, 1.27s/step] Training: 97%|█████████▋| 68115/70000 [24:07:48<40:16, 1.28s/step] Training: 97%|█████████▋| 68116/70000 [24:07:49<39:46, 1.27s/step] Training: 97%|█████████▋| 68117/70000 [24:07:50<40:15, 1.28s/step] Training: 97%|█████████▋| 68118/70000 [24:07:52<39:22, 1.26s/step] Training: 97%|█████████▋| 68119/70000 [24:07:53<38:52, 1.24s/step] Training: 97%|█████████▋| 68120/70000 [24:07:54<39:40, 1.27s/step] Training: 97%|█████████▋| 68121/70000 [24:07:56<40:11, 1.28s/step] Training: 97%|█████████▋| 68122/70000 [24:07:57<40:50, 1.30s/step] Training: 97%|█████████▋| 68123/70000 [24:07:58<40:57, 1.31s/step] Training: 97%|█████████▋| 68124/70000 [24:07:59<40:01, 1.28s/step] Training: 97%|█████████▋| 68125/70000 [24:08:01<40:43, 1.30s/step] Training: 97%|█████████▋| 68126/70000 [24:08:02<39:38, 1.27s/step] Training: 97%|█████████▋| 68127/70000 [24:08:03<40:11, 1.29s/step] Training: 97%|█████████▋| 68128/70000 [24:08:05<40:30, 1.30s/step] Training: 97%|█████████▋| 68129/70000 [24:08:06<40:40, 1.30s/step] Training: 97%|█████████▋| 68130/70000 [24:08:07<39:34, 1.27s/step] Training: 97%|█████████▋| 68131/70000 [24:08:09<41:10, 1.32s/step] Training: 97%|█████████▋| 68132/70000 [24:08:10<41:16, 1.33s/step] Training: 97%|█████████▋| 68133/70000 [24:08:11<41:25, 1.33s/step] Training: 97%|█████████▋| 68134/70000 [24:08:12<40:04, 1.29s/step] Training: 97%|█████████▋| 68135/70000 [24:08:14<40:23, 1.30s/step] Training: 97%|█████████▋| 68136/70000 [24:08:15<39:42, 1.28s/step] Training: 97%|█████████▋| 68137/70000 [24:08:16<40:07, 1.29s/step] Training: 97%|█████████▋| 68138/70000 [24:08:17<39:13, 1.26s/step] Training: 97%|█████████▋| 68139/70000 [24:08:19<39:55, 1.29s/step] Training: 97%|█████████▋| 68140/70000 [24:08:20<40:14, 1.30s/step] Training: 97%|█████████▋| 68141/70000 [24:08:21<40:32, 1.31s/step] Training: 97%|█████████▋| 68142/70000 [24:08:23<39:29, 1.28s/step] Training: 97%|█████████▋| 68143/70000 [24:08:24<39:00, 1.26s/step] Training: 97%|█████████▋| 68144/70000 [24:08:25<38:35, 1.25s/step] Training: 97%|█████████▋| 68145/70000 [24:08:26<38:02, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=54374 Training: 97%|█████████▋| 68146/70000 [24:08:28<38:53, 1.26s/step] Training: 97%|█████████▋| 68147/70000 [24:08:29<39:48, 1.29s/step] Training: 97%|█████████▋| 68148/70000 [24:08:30<39:13, 1.27s/step] Training: 97%|█████████▋| 68149/70000 [24:08:32<39:45, 1.29s/step] Training: 97%|█████████▋| 68150/70000 [24:08:33<38:48, 1.26s/step] Training: 97%|█████████▋| 68151/70000 [24:08:34<38:22, 1.25s/step] Training: 97%|█████████▋| 68152/70000 [24:08:35<37:50, 1.23s/step] Training: 97%|█████████▋| 68153/70000 [24:08:37<39:58, 1.30s/step] Training: 97%|█████████▋| 68154/70000 [24:08:38<38:56, 1.27s/step] Training: 97%|█████████▋| 68155/70000 [24:08:39<39:32, 1.29s/step] Training: 97%|█████████▋| 68156/70000 [24:08:40<38:53, 1.27s/step] Training: 97%|█████████▋| 68157/70000 [24:08:42<39:51, 1.30s/step] Training: 97%|█████████▋| 68158/70000 [24:08:43<38:52, 1.27s/step] Training: 97%|█████████▋| 68159/70000 [24:08:44<39:27, 1.29s/step] Training: 97%|█████████▋| 68160/70000 [24:08:45<38:32, 1.26s/step] Training: 97%|█████████▋| 68161/70000 [24:08:47<38:04, 1.24s/step] Training: 97%|█████████▋| 68162/70000 [24:08:48<37:35, 1.23s/step] Training: 97%|█████████▋| 68163/70000 [24:08:49<38:33, 1.26s/step] Training: 97%|█████████▋| 68164/70000 [24:08:51<39:54, 1.30s/step] Training: 97%|█████████▋| 68165/70000 [24:08:52<40:08, 1.31s/step] Training: 97%|█████████▋| 68166/70000 [24:08:53<38:58, 1.27s/step] Training: 97%|█████████▋| 68167/70000 [24:08:54<39:22, 1.29s/step] Training: 97%|█████████▋| 68168/70000 [24:08:56<38:47, 1.27s/step] Training: 97%|█████████▋| 68169/70000 [24:08:57<38:21, 1.26s/step] Training: 97%|█████████▋| 68170/70000 [24:08:58<37:54, 1.24s/step] Training: 97%|█████████▋| 68171/70000 [24:08:59<37:30, 1.23s/step] Training: 97%|█████████▋| 68172/70000 [24:09:01<39:01, 1.28s/step] Training: 97%|█████████▋| 68173/70000 [24:09:02<39:27, 1.30s/step] Training: 97%|█████████▋| 68174/70000 [24:09:03<38:26, 1.26s/step] Training: 97%|█████████▋| 68175/70000 [24:09:04<38:09, 1.25s/step] Training: 97%|█████████▋| 68176/70000 [24:09:06<37:44, 1.24s/step] Training: 97%|█████████▋| 68177/70000 [24:09:07<37:17, 1.23s/step] Training: 97%|█████████▋| 68178/70000 [24:09:08<38:01, 1.25s/step] Training: 97%|█████████▋| 68179/70000 [24:09:09<38:43, 1.28s/step] Training: 97%|█████████▋| 68180/70000 [24:09:11<38:13, 1.26s/step] Training: 97%|█████████▋| 68181/70000 [24:09:12<39:32, 1.30s/step] Training: 97%|█████████▋| 68182/70000 [24:09:13<38:29, 1.27s/step] Training: 97%|█████████▋| 68183/70000 [24:09:15<37:58, 1.25s/step] Training: 97%|█████████▋| 68184/70000 [24:09:16<38:37, 1.28s/step] Training: 97%|█████████▋| 68185/70000 [24:09:17<39:10, 1.29s/step] Training: 97%|█████████▋| 68186/70000 [24:09:18<38:12, 1.26s/step] Training: 97%|█████████▋| 68187/70000 [24:09:20<38:43, 1.28s/step] Training: 97%|█████████▋| 68188/70000 [24:09:21<39:23, 1.30s/step] Training: 97%|█████████▋| 68189/70000 [24:09:22<39:52, 1.32s/step] Training: 97%|█████████▋| 68190/70000 [24:09:24<38:40, 1.28s/step] Training: 97%|█████████▋| 68191/70000 [24:09:25<39:07, 1.30s/step] Training: 97%|█████████▋| 68192/70000 [24:09:26<39:21, 1.31s/step] Training: 97%|█████████▋| 68193/70000 [24:09:27<38:16, 1.27s/step] Training: 97%|█████████▋| 68194/70000 [24:09:29<38:45, 1.29s/step] Training: 97%|█████████▋| 68195/70000 [24:09:30<39:04, 1.30s/step] Training: 97%|█████████▋| 68196/70000 [24:09:31<39:18, 1.31s/step] Training: 97%|█████████▋| 68197/70000 [24:09:33<40:13, 1.34s/step] Training: 97%|█████████▋| 68198/70000 [24:09:34<38:50, 1.29s/step] Training: 97%|█████████▋| 68199/70000 [24:09:35<39:09, 1.30s/step] Training: 97%|█████████▋| 68200/70000 [24:09:37<38:28, 1.28s/step]INFO 2026-03-13 20:19:29 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.81 loss:0.007 grdn:0.548 lr:1.0e-06 updt_s:1.257 data_s:0.019 Training: 97%|█████████▋| 68201/70000 [24:09:38<37:36, 1.25s/step] Training: 97%|█████████▋| 68202/70000 [24:09:39<38:16, 1.28s/step] Training: 97%|█████████▋| 68203/70000 [24:09:40<37:39, 1.26s/step] Training: 97%|█████████▋| 68204/70000 [24:09:42<37:01, 1.24s/step] Training: 97%|█████████▋| 68205/70000 [24:09:43<38:56, 1.30s/step] Training: 97%|█████████▋| 68206/70000 [24:09:44<37:52, 1.27s/step] Training: 97%|█████████▋| 68207/70000 [24:09:45<37:30, 1.26s/step] Training: 97%|█████████▋| 68208/70000 [24:09:47<37:07, 1.24s/step] Training: 97%|█████████▋| 68209/70000 [24:09:48<36:36, 1.23s/step] Training: 97%|█████████▋| 68210/70000 [24:09:49<36:14, 1.22s/step] Training: 97%|█████████▋| 68211/70000 [24:09:50<37:08, 1.25s/step] Training: 97%|█████████▋| 68212/70000 [24:09:51<36:37, 1.23s/step] Training: 97%|█████████▋| 68213/70000 [24:09:53<38:24, 1.29s/step] Training: 97%|█████████▋| 68214/70000 [24:09:54<37:30, 1.26s/step] Training: 97%|█████████▋| 68215/70000 [24:09:55<37:03, 1.25s/step] Training: 97%|█████████▋| 68216/70000 [24:09:57<37:42, 1.27s/step] Training: 97%|█████████▋| 68217/70000 [24:09:58<37:00, 1.25s/step] Training: 97%|█████████▋| 68218/70000 [24:09:59<37:29, 1.26s/step] Training: 97%|█████████▋| 68219/70000 [24:10:00<38:01, 1.28s/step] Training: 97%|█████████▋| 68220/70000 [24:10:02<37:10, 1.25s/step] Training: 97%|█████████▋| 68221/70000 [24:10:03<38:13, 1.29s/step] Training: 97%|█████████▋| 68222/70000 [24:10:04<37:18, 1.26s/step] Training: 97%|█████████▋| 68223/70000 [24:10:06<37:59, 1.28s/step] Training: 97%|█████████▋| 68224/70000 [24:10:07<38:18, 1.29s/step] Training: 97%|█████████▋| 68225/70000 [24:10:08<37:19, 1.26s/step] Training: 97%|█████████▋| 68226/70000 [24:10:09<37:54, 1.28s/step] Training: 97%|█████████▋| 68227/70000 [24:10:11<38:24, 1.30s/step] Training: 97%|█████████▋| 68228/70000 [24:10:12<37:41, 1.28s/step] Training: 97%|█████████▋| 68229/70000 [24:10:13<39:34, 1.34s/step] Training: 97%|█████████▋| 68230/70000 [24:10:15<38:13, 1.30s/step] Training: 97%|█████████▋| 68231/70000 [24:10:16<38:32, 1.31s/step] Training: 97%|█████████▋| 68232/70000 [24:10:17<37:46, 1.28s/step] Training: 97%|█████████▋| 68233/70000 [24:10:18<36:57, 1.26s/step] Training: 97%|█████████▋| 68234/70000 [24:10:20<36:27, 1.24s/step] Training: 97%|█████████▋| 68235/70000 [24:10:21<36:05, 1.23s/step] Training: 97%|█████████▋| 68236/70000 [24:10:22<35:44, 1.22s/step] Training: 97%|█████████▋| 68237/70000 [24:10:23<37:06, 1.26s/step] Training: 97%|█████████▋| 68238/70000 [24:10:25<37:50, 1.29s/step] Training: 97%|█████████▋| 68239/70000 [24:10:26<37:07, 1.26s/step] Training: 97%|█████████▋| 68240/70000 [24:10:27<36:36, 1.25s/step] Training: 97%|█████████▋| 68241/70000 [24:10:28<36:06, 1.23s/step] Training: 97%|█████████▋| 68242/70000 [24:10:30<36:57, 1.26s/step] Training: 97%|█████████▋| 68243/70000 [24:10:31<37:30, 1.28s/step] Training: 97%|█████████▋| 68244/70000 [24:10:32<36:43, 1.25s/step] Training: 97%|█████████▋| 68245/70000 [24:10:33<37:18, 1.28s/step] Training: 97%|█████████▋| 68246/70000 [24:10:35<37:17, 1.28s/step] Training: 97%|█████████▋| 68247/70000 [24:10:36<36:51, 1.26s/step] Training: 97%|█████████▋| 68248/70000 [24:10:37<37:22, 1.28s/step] Training: 97%|█████████▋| 68249/70000 [24:10:39<36:34, 1.25s/step] Training: 98%|█████████▊| 68250/70000 [24:10:40<37:13, 1.28s/step] Training: 98%|█████████▊| 68251/70000 [24:10:41<37:39, 1.29s/step] Training: 98%|█████████▊| 68252/70000 [24:10:42<36:43, 1.26s/step] Training: 98%|█████████▊| 68253/70000 [24:10:44<37:38, 1.29s/step] Training: 98%|█████████▊| 68254/70000 [24:10:45<38:03, 1.31s/step] Training: 98%|█████████▊| 68255/70000 [24:10:46<36:53, 1.27s/step] Training: 98%|█████████▊| 68256/70000 [24:10:48<38:19, 1.32s/step] Training: 98%|█████████▊| 68257/70000 [24:10:49<37:10, 1.28s/step] Training: 98%|█████████▊| 68258/70000 [24:10:50<37:35, 1.29s/step] Training: 98%|█████████▊| 68259/70000 [24:10:52<37:57, 1.31s/step] Training: 98%|█████████▊| 68260/70000 [24:10:53<36:55, 1.27s/step] Training: 98%|█████████▊| 68261/70000 [24:10:54<37:23, 1.29s/step] Training: 98%|█████████▊| 68262/70000 [24:10:55<37:58, 1.31s/step] Training: 98%|█████████▊| 68263/70000 [24:10:57<36:48, 1.27s/step] Training: 98%|█████████▊| 68264/70000 [24:10:58<36:23, 1.26s/step] Training: 98%|█████████▊| 68265/70000 [24:10:59<35:45, 1.24s/step] Training: 98%|█████████▊| 68266/70000 [24:11:00<35:27, 1.23s/step] Training: 98%|█████████▊| 68267/70000 [24:11:01<35:17, 1.22s/step] Training: 98%|█████████▊| 68268/70000 [24:11:03<34:59, 1.21s/step] Training: 98%|█████████▊| 68269/70000 [24:11:04<36:18, 1.26s/step] Training: 98%|█████████▊| 68270/70000 [24:11:05<35:42, 1.24s/step] Training: 98%|█████████▊| 68271/70000 [24:11:07<36:34, 1.27s/step] Training: 98%|█████████▊| 68272/70000 [24:11:08<35:58, 1.25s/step] Training: 98%|█████████▊| 68273/70000 [24:11:09<35:26, 1.23s/step] Training: 98%|█████████▊| 68274/70000 [24:11:10<36:15, 1.26s/step] Training: 98%|█████████▊| 68275/70000 [24:11:12<36:49, 1.28s/step] Training: 98%|█████████▊| 68276/70000 [24:11:13<36:00, 1.25s/step] Training: 98%|█████████▊| 68277/70000 [24:11:14<36:38, 1.28s/step] Training: 98%|█████████▊| 68278/70000 [24:11:15<35:52, 1.25s/step] Training: 98%|█████████▊| 68279/70000 [24:11:17<36:44, 1.28s/step] Training: 98%|█████████▊| 68280/70000 [24:11:18<37:05, 1.29s/step] Training: 98%|█████████▊| 68281/70000 [24:11:19<36:09, 1.26s/step] Training: 98%|█████████▊| 68282/70000 [24:11:20<36:43, 1.28s/step] Training: 98%|█████████▊| 68283/70000 [24:11:22<37:02, 1.29s/step] Training: 98%|█████████▊| 68284/70000 [24:11:23<36:07, 1.26s/step] Training: 98%|█████████▊| 68285/70000 [24:11:24<36:56, 1.29s/step] Training: 98%|█████████▊| 68286/70000 [24:11:26<36:02, 1.26s/step] Training: 98%|█████████▊| 68287/70000 [24:11:27<36:50, 1.29s/step] Training: 98%|█████████▊| 68288/70000 [24:11:28<37:12, 1.30s/step] Training: 98%|█████████▊| 68289/70000 [24:11:29<36:13, 1.27s/step] Training: 98%|█████████▊| 68290/70000 [24:11:31<36:45, 1.29s/step] Training: 98%|█████████▊| 68291/70000 [24:11:32<37:06, 1.30s/step] Training: 98%|█████████▊| 68292/70000 [24:11:33<36:06, 1.27s/step] Training: 98%|█████████▊| 68293/70000 [24:11:35<36:37, 1.29s/step] Training: 98%|█████████▊| 68294/70000 [24:11:36<35:45, 1.26s/step] Training: 98%|█████████▊| 68295/70000 [24:11:37<36:22, 1.28s/step] Training: 98%|█████████▊| 68296/70000 [24:11:38<35:53, 1.26s/step] Training: 98%|█████████▊| 68297/70000 [24:11:40<35:13, 1.24s/step] Training: 98%|█████████▊| 68298/70000 [24:11:41<34:53, 1.23s/step] Training: 98%|█████████▊| 68299/70000 [24:11:42<34:41, 1.22s/step] Training: 98%|█████████▊| 68300/70000 [24:11:43<34:21, 1.21s/step]INFO 2026-03-13 20:21:35 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.89 loss:0.007 grdn:0.632 lr:1.0e-06 updt_s:1.244 data_s:0.019 Training: 98%|█████████▊| 68301/70000 [24:11:45<35:45, 1.26s/step] Training: 98%|█████████▊| 68302/70000 [24:11:46<35:07, 1.24s/step] Training: 98%|█████████▊| 68303/70000 [24:11:47<34:59, 1.24s/step] Training: 98%|█████████▊| 68304/70000 [24:11:48<35:50, 1.27s/step] Training: 98%|█████████▊| 68305/70000 [24:11:49<35:03, 1.24s/step] Training: 98%|█████████▊| 68306/70000 [24:11:51<35:50, 1.27s/step] Training: 98%|█████████▊| 68307/70000 [24:11:52<36:17, 1.29s/step] Training: 98%|█████████▊| 68308/70000 [24:11:53<35:26, 1.26s/step] Training: 98%|█████████▊| 68309/70000 [24:11:55<36:00, 1.28s/step] Training: 98%|█████████▊| 68310/70000 [24:11:56<35:13, 1.25s/step] Training: 98%|█████████▊| 68311/70000 [24:11:57<34:51, 1.24s/step] Training: 98%|█████████▊| 68312/70000 [24:11:58<36:14, 1.29s/step] Training: 98%|█████████▊| 68313/70000 [24:12:00<35:22, 1.26s/step] Training: 98%|█████████▊| 68314/70000 [24:12:01<35:54, 1.28s/step] Training: 98%|█████████▊| 68315/70000 [24:12:02<35:09, 1.25s/step] Training: 98%|█████████▊| 68316/70000 [24:12:03<35:39, 1.27s/step] Training: 98%|█████████▊| 68317/70000 [24:12:05<36:28, 1.30s/step] Training: 98%|█████████▊| 68318/70000 [24:12:06<35:31, 1.27s/step] Training: 98%|█████████▊| 68319/70000 [24:12:07<36:00, 1.29s/step] Training: 98%|█████████▊| 68320/70000 [24:12:09<36:21, 1.30s/step] Training: 98%|█████████▊| 68321/70000 [24:12:10<36:38, 1.31s/step] Training: 98%|█████████▊| 68322/70000 [24:12:11<36:41, 1.31s/step] Training: 98%|█████████▊| 68323/70000 [24:12:13<35:39, 1.28s/step] Training: 98%|█████████▊| 68324/70000 [24:12:14<36:05, 1.29s/step] Training: 98%|█████████▊| 68325/70000 [24:12:15<36:19, 1.30s/step] Training: 98%|█████████▊| 68326/70000 [24:12:16<35:21, 1.27s/step] Training: 98%|█████████▊| 68327/70000 [24:12:18<35:52, 1.29s/step] Training: 98%|█████████▊| 68328/70000 [24:12:19<36:45, 1.32s/step] Training: 98%|█████████▊| 68329/70000 [24:12:20<35:36, 1.28s/step] Training: 98%|█████████▊| 68330/70000 [24:12:21<35:03, 1.26s/step] Training: 98%|█████████▊| 68331/70000 [24:12:23<34:29, 1.24s/step] Training: 98%|█████████▊| 68332/70000 [24:12:24<34:03, 1.22s/step] Training: 98%|█████████▊| 68333/70000 [24:12:25<36:13, 1.30s/step] Training: 98%|█████████▊| 68334/70000 [24:12:27<35:16, 1.27s/step] Training: 98%|█████████▊| 68335/70000 [24:12:28<34:59, 1.26s/step] Training: 98%|█████████▊| 68336/70000 [24:12:29<34:38, 1.25s/step] Training: 98%|█████████▊| 68337/70000 [24:12:30<35:24, 1.28s/step] Training: 98%|█████████▊| 68338/70000 [24:12:32<35:40, 1.29s/step] Training: 98%|█████████▊| 68339/70000 [24:12:33<34:50, 1.26s/step] Training: 98%|█████████▊| 68340/70000 [24:12:34<34:28, 1.25s/step] Training: 98%|█████████▊| 68341/70000 [24:12:35<35:05, 1.27s/step] Training: 98%|█████████▊| 68342/70000 [24:12:37<34:23, 1.24s/step] Training: 98%|█████████▊| 68343/70000 [24:12:38<34:12, 1.24s/step] Training: 98%|█████████▊| 68344/70000 [24:12:39<34:58, 1.27s/step] Training: 98%|█████████▊| 68345/70000 [24:12:40<35:32, 1.29s/step] Training: 98%|█████████▊| 68346/70000 [24:12:42<35:46, 1.30s/step] Training: 98%|█████████▊| 68347/70000 [24:12:43<34:52, 1.27s/step] Training: 98%|█████████▊| 68348/70000 [24:12:44<34:33, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=30215 Training: 98%|█████████▊| 68349/70000 [24:12:46<35:28, 1.29s/step] Training: 98%|█████████▊| 68350/70000 [24:12:47<34:39, 1.26s/step] Training: 98%|█████████▊| 68351/70000 [24:12:48<35:11, 1.28s/step] Training: 98%|█████████▊| 68352/70000 [24:12:49<35:36, 1.30s/step] Training: 98%|█████████▊| 68353/70000 [24:12:51<34:40, 1.26s/step] Training: 98%|█████████▊| 68354/70000 [24:12:52<35:11, 1.28s/step] Training: 98%|█████████▊| 68355/70000 [24:12:53<34:25, 1.26s/step] Training: 98%|█████████▊| 68356/70000 [24:12:54<33:49, 1.23s/step] Training: 98%|█████████▊| 68357/70000 [24:12:56<35:41, 1.30s/step] Training: 98%|█████████▊| 68358/70000 [24:12:57<34:45, 1.27s/step] Training: 98%|█████████▊| 68359/70000 [24:12:58<35:14, 1.29s/step] Training: 98%|█████████▊| 68360/70000 [24:13:00<35:54, 1.31s/step] Training: 98%|█████████▊| 68361/70000 [24:13:01<35:14, 1.29s/step] Training: 98%|█████████▊| 68362/70000 [24:13:02<34:35, 1.27s/step] Training: 98%|█████████▊| 68363/70000 [24:13:03<33:55, 1.24s/step] Training: 98%|█████████▊| 68364/70000 [24:13:05<34:35, 1.27s/step] Training: 98%|█████████▊| 68365/70000 [24:13:06<35:23, 1.30s/step] Training: 98%|█████████▊| 68366/70000 [24:13:07<34:29, 1.27s/step] Training: 98%|█████████▊| 68367/70000 [24:13:08<34:07, 1.25s/step] Training: 98%|█████████▊| 68368/70000 [24:13:10<33:42, 1.24s/step] Training: 98%|█████████▊| 68369/70000 [24:13:11<33:51, 1.25s/step] Training: 98%|█████████▊| 68370/70000 [24:13:12<34:26, 1.27s/step] Training: 98%|█████████▊| 68371/70000 [24:13:13<33:47, 1.24s/step] Training: 98%|█████████▊| 68372/70000 [24:13:15<33:30, 1.24s/step] Training: 98%|█████████▊| 68373/70000 [24:13:16<34:10, 1.26s/step] Training: 98%|█████████▊| 68374/70000 [24:13:17<33:33, 1.24s/step] Training: 98%|█████████▊| 68375/70000 [24:13:18<33:25, 1.23s/step] Training: 98%|█████████▊| 68376/70000 [24:13:20<34:06, 1.26s/step] Training: 98%|█████████▊| 68377/70000 [24:13:21<33:31, 1.24s/step] Training: 98%|█████████▊| 68378/70000 [24:13:22<35:01, 1.30s/step] Training: 98%|█████████▊| 68379/70000 [24:13:23<34:08, 1.26s/step] Training: 98%|█████████▊| 68380/70000 [24:13:25<33:51, 1.25s/step] Training: 98%|█████████▊| 68381/70000 [24:13:26<35:01, 1.30s/step] Training: 98%|█████████▊| 68382/70000 [24:13:27<34:08, 1.27s/step] Training: 98%|█████████▊| 68383/70000 [24:13:29<34:39, 1.29s/step] Training: 98%|█████████▊| 68384/70000 [24:13:30<34:56, 1.30s/step] Training: 98%|█████████▊| 68385/70000 [24:13:31<34:01, 1.26s/step] Training: 98%|█████████▊| 68386/70000 [24:13:33<35:08, 1.31s/step] Training: 98%|█████████▊| 68387/70000 [24:13:34<34:11, 1.27s/step] Training: 98%|█████████▊| 68388/70000 [24:13:35<33:34, 1.25s/step] Training: 98%|█████████▊| 68389/70000 [24:13:36<35:19, 1.32s/step] Training: 98%|█████████▊| 68390/70000 [24:13:38<34:19, 1.28s/step] Training: 98%|█████████▊| 68391/70000 [24:13:39<34:46, 1.30s/step] Training: 98%|█████████▊| 68392/70000 [24:13:40<34:16, 1.28s/step] Training: 98%|█████████▊| 68393/70000 [24:13:41<33:28, 1.25s/step] Training: 98%|█████████▊| 68394/70000 [24:13:43<33:06, 1.24s/step] Training: 98%|█████████▊| 68395/70000 [24:13:44<34:00, 1.27s/step] Training: 98%|█████████▊| 68396/70000 [24:13:45<34:22, 1.29s/step] Training: 98%|█████████▊| 68397/70000 [24:13:47<35:10, 1.32s/step] Training: 98%|█████████▊| 68398/70000 [24:13:48<34:09, 1.28s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=65882 Training: 98%|█████████▊| 68399/70000 [24:13:49<33:47, 1.27s/step] Training: 98%|█████████▊| 68400/70000 [24:13:50<33:18, 1.25s/step]INFO 2026-03-13 20:23:42 ot_train.py:435 step:68K smpl:4M ep:15K epch:57.98 loss:0.007 grdn:0.538 lr:1.0e-06 updt_s:1.251 data_s:0.019 Training: 98%|█████████▊| 68401/70000 [24:13:51<32:48, 1.23s/step] Training: 98%|█████████▊| 68402/70000 [24:13:53<33:43, 1.27s/step] Training: 98%|█████████▊| 68403/70000 [24:13:54<33:04, 1.24s/step] Training: 98%|█████████▊| 68404/70000 [24:13:55<32:41, 1.23s/step] Training: 98%|█████████▊| 68405/70000 [24:13:57<33:28, 1.26s/step] Training: 98%|█████████▊| 68406/70000 [24:13:58<32:54, 1.24s/step] Training: 98%|█████████▊| 68407/70000 [24:13:59<32:39, 1.23s/step] Training: 98%|█████████▊| 68408/70000 [24:14:00<33:30, 1.26s/step] Training: 98%|█████████▊| 68409/70000 [24:14:01<32:56, 1.24s/step] Training: 98%|█████████▊| 68410/70000 [24:14:03<33:34, 1.27s/step] Training: 98%|█████████▊| 68411/70000 [24:14:04<34:11, 1.29s/step] Training: 98%|█████████▊| 68412/70000 [24:14:05<33:38, 1.27s/step] Training: 98%|█████████▊| 68413/70000 [24:14:07<34:25, 1.30s/step] Training: 98%|█████████▊| 68414/70000 [24:14:08<33:32, 1.27s/step] Training: 98%|█████████▊| 68415/70000 [24:14:09<34:02, 1.29s/step] Training: 98%|█████████▊| 68416/70000 [24:14:11<34:21, 1.30s/step] Training: 98%|█████████▊| 68417/70000 [24:14:12<33:27, 1.27s/step] Training: 98%|█████████▊| 68418/70000 [24:14:13<33:56, 1.29s/step] Training: 98%|█████████▊| 68419/70000 [24:14:14<34:20, 1.30s/step] Training: 98%|█████████▊| 68420/70000 [24:14:16<33:21, 1.27s/step] Training: 98%|█████████▊| 68421/70000 [24:14:17<34:53, 1.33s/step] Training: 98%|█████████▊| 68422/70000 [24:14:18<33:48, 1.29s/step] Training: 98%|█████████▊| 68423/70000 [24:14:20<34:14, 1.30s/step] Training: 98%|█████████▊| 68424/70000 [24:14:21<33:38, 1.28s/step] Training: 98%|█████████▊| 68425/70000 [24:14:22<32:56, 1.25s/step] Training: 98%|█████████▊| 68426/70000 [24:14:23<32:38, 1.24s/step] Training: 98%|█████████▊| 68427/70000 [24:14:24<32:13, 1.23s/step] Training: 98%|█████████▊| 68428/70000 [24:14:26<33:02, 1.26s/step] Training: 98%|█████████▊| 68429/70000 [24:14:27<33:42, 1.29s/step] Training: 98%|█████████▊| 68430/70000 [24:14:28<32:54, 1.26s/step] Training: 98%|█████████▊| 68431/70000 [24:14:30<32:45, 1.25s/step] Training: 98%|█████████▊| 68432/70000 [24:14:31<32:23, 1.24s/step] Training: 98%|█████████▊| 68433/70000 [24:14:32<31:56, 1.22s/step] Training: 98%|█████████▊| 68434/70000 [24:14:33<32:45, 1.25s/step] Training: 98%|█████████▊| 68435/70000 [24:14:35<32:40, 1.25s/step] Training: 98%|█████████▊| 68436/70000 [24:14:36<33:17, 1.28s/step] Training: 98%|█████████▊| 68437/70000 [24:14:37<33:44, 1.30s/step] Training: 98%|█████████▊| 68438/70000 [24:14:38<32:51, 1.26s/step] Training: 98%|█████████▊| 68439/70000 [24:14:40<32:30, 1.25s/step] Training: 98%|█████████▊| 68440/70000 [24:14:42<41:43, 1.60s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) [Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=12313 Training: 98%|█████████▊| 68441/70000 [24:14:46<59:52, 2.30s/step] Training: 98%|█████████▊| 68442/70000 [24:14:47<52:34, 2.02s/step] Training: 98%|█████████▊| 68443/70000 [24:14:49<46:48, 1.80s/step] Training: 98%|█████████▊| 68444/70000 [24:14:50<42:41, 1.65s/step] Training: 98%|█████████▊| 68445/70000 [24:14:51<41:29, 1.60s/step] Training: 98%|█████████▊| 68446/70000 [24:14:53<38:14, 1.48s/step] Training: 98%|█████████▊| 68447/70000 [24:14:54<37:29, 1.45s/step] Training: 98%|█████████▊| 68448/70000 [24:14:55<36:37, 1.42s/step] Training: 98%|█████████▊| 68449/70000 [24:14:57<34:50, 1.35s/step] Training: 98%|█████████▊| 68450/70000 [24:14:58<34:39, 1.34s/step] Training: 98%|█████████▊| 68451/70000 [24:14:59<33:29, 1.30s/step] Training: 98%|█████████▊| 68452/70000 [24:15:00<33:48, 1.31s/step] Training: 98%|█████████▊| 68453/70000 [24:15:02<34:30, 1.34s/step] Training: 98%|█████████▊| 68454/70000 [24:15:03<33:19, 1.29s/step] Training: 98%|█████████▊| 68455/70000 [24:15:04<33:39, 1.31s/step] Training: 98%|█████████▊| 68456/70000 [24:15:06<33:48, 1.31s/step] Training: 98%|█████████▊| 68457/70000 [24:15:07<32:49, 1.28s/step] Training: 98%|█████████▊| 68458/70000 [24:15:08<32:21, 1.26s/step] Training: 98%|█████████▊| 68459/70000 [24:15:09<31:50, 1.24s/step] Training: 98%|█████████▊| 68460/70000 [24:15:11<33:09, 1.29s/step] Training: 98%|█████████▊| 68461/70000 [24:15:12<33:50, 1.32s/step] Training: 98%|█████████▊| 68462/70000 [24:15:13<32:50, 1.28s/step] Training: 98%|█████████▊| 68463/70000 [24:15:14<32:30, 1.27s/step] Training: 98%|█████████▊| 68464/70000 [24:15:16<32:03, 1.25s/step] Training: 98%|█████████▊| 68465/70000 [24:15:17<31:34, 1.23s/step] Training: 98%|█████████▊| 68466/70000 [24:15:18<32:21, 1.27s/step] Training: 98%|█████████▊| 68467/70000 [24:15:19<31:45, 1.24s/step] Training: 98%|█████████▊| 68468/70000 [24:15:21<32:45, 1.28s/step] Training: 98%|█████████▊| 68469/70000 [24:15:22<33:13, 1.30s/step] Training: 98%|█████████▊| 68470/70000 [24:15:23<32:19, 1.27s/step] Training: 98%|█████████▊| 68471/70000 [24:15:25<31:52, 1.25s/step] Training: 98%|█████████▊| 68472/70000 [24:15:26<32:26, 1.27s/step] Training: 98%|█████████▊| 68473/70000 [24:15:27<31:45, 1.25s/step] Training: 98%|█████████▊| 68474/70000 [24:15:28<32:26, 1.28s/step] Training: 98%|█████████▊| 68475/70000 [24:15:30<31:47, 1.25s/step] Training: 98%|█████████▊| 68476/70000 [24:15:31<32:37, 1.28s/step] Training: 98%|█████████▊| 68477/70000 [24:15:32<33:17, 1.31s/step] Training: 98%|█████████▊| 68478/70000 [24:15:34<32:19, 1.27s/step] Training: 98%|█████████▊| 68479/70000 [24:15:35<32:44, 1.29s/step] Training: 98%|█████████▊| 68480/70000 [24:15:36<32:59, 1.30s/step] Training: 98%|█████████▊| 68481/70000 [24:15:37<32:06, 1.27s/step] Training: 98%|█████████▊| 68482/70000 [24:15:39<32:35, 1.29s/step] Training: 98%|█████████▊| 68483/70000 [24:15:40<31:49, 1.26s/step] Training: 98%|█████████▊| 68484/70000 [24:15:41<31:16, 1.24s/step] Training: 98%|█████████▊| 68485/70000 [24:15:43<33:09, 1.31s/step] Training: 98%|█████████▊| 68486/70000 [24:15:44<32:12, 1.28s/step] Training: 98%|█████████▊| 68487/70000 [24:15:45<32:35, 1.29s/step] Training: 98%|█████████▊| 68488/70000 [24:15:46<32:52, 1.30s/step] Training: 98%|█████████▊| 68489/70000 [24:15:48<32:01, 1.27s/step] Training: 98%|█████████▊| 68490/70000 [24:15:49<31:27, 1.25s/step] Training: 98%|█████████▊| 68491/70000 [24:15:50<31:01, 1.23s/step] Training: 98%|█████████▊| 68492/70000 [24:15:51<31:42, 1.26s/step] Training: 98%|█████████▊| 68493/70000 [24:15:53<33:11, 1.32s/step] Training: 98%|█████████▊| 68494/70000 [24:15:54<32:14, 1.28s/step] Training: 98%|█████████▊| 68495/70000 [24:15:55<31:42, 1.26s/step] Training: 98%|█████████▊| 68496/70000 [24:15:56<31:17, 1.25s/step] Training: 98%|█████████▊| 68497/70000 [24:15:58<30:48, 1.23s/step] Training: 98%|█████████▊| 68498/70000 [24:15:59<31:30, 1.26s/step] Training: 98%|█████████▊| 68499/70000 [24:16:00<31:00, 1.24s/step] Training: 98%|█████████▊| 68500/70000 [24:16:01<30:45, 1.23s/step]INFO 2026-03-13 20:25:53 ot_train.py:435 step:68K smpl:4M ep:15K epch:58.06 loss:0.007 grdn:0.552 lr:1.0e-06 updt_s:1.252 data_s:0.057 Training: 98%|█████████▊| 68501/70000 [24:16:03<32:12, 1.29s/step] Training: 98%|█████████▊| 68502/70000 [24:16:04<31:26, 1.26s/step] Training: 98%|█████████▊| 68503/70000 [24:16:05<31:05, 1.25s/step] Training: 98%|█████████▊| 68504/70000 [24:16:06<31:40, 1.27s/step] Training: 98%|█████████▊| 68505/70000 [24:16:08<31:04, 1.25s/step] Training: 98%|█████████▊| 68506/70000 [24:16:09<31:38, 1.27s/step] Training: 98%|█████████▊| 68507/70000 [24:16:10<31:02, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=21548 Training: 98%|█████████▊| 68508/70000 [24:16:11<30:52, 1.24s/step] Training: 98%|█████████▊| 68509/70000 [24:16:13<31:59, 1.29s/step] Training: 98%|█████████▊| 68510/70000 [24:16:14<31:09, 1.25s/step] Training: 98%|█████████▊| 68511/70000 [24:16:15<31:40, 1.28s/step] Training: 98%|█████████▊| 68512/70000 [24:16:17<32:00, 1.29s/step] Training: 98%|█████████▊| 68513/70000 [24:16:18<31:14, 1.26s/step] Training: 98%|█████████▊| 68514/70000 [24:16:19<31:44, 1.28s/step] Training: 98%|█████████▊| 68515/70000 [24:16:20<31:07, 1.26s/step] Training: 98%|█████████▊| 68516/70000 [24:16:22<30:35, 1.24s/step] Training: 98%|█████████▊| 68517/70000 [24:16:23<33:04, 1.34s/step] Training: 98%|█████████▊| 68518/70000 [24:16:24<31:55, 1.29s/step] Training: 98%|█████████▊| 68519/70000 [24:16:26<32:07, 1.30s/step] Training: 98%|█████████▊| 68520/70000 [24:16:27<32:18, 1.31s/step] Training: 98%|█████████▊| 68521/70000 [24:16:28<31:24, 1.27s/step] Training: 98%|█████████▊| 68522/70000 [24:16:29<30:56, 1.26s/step] Training: 98%|█████████▊| 68523/70000 [24:16:31<30:25, 1.24s/step] Training: 98%|█████████▊| 68524/70000 [24:16:32<31:03, 1.26s/step] Training: 98%|█████████▊| 68525/70000 [24:16:33<31:45, 1.29s/step] Training: 98%|█████████▊| 68526/70000 [24:16:35<32:07, 1.31s/step] Training: 98%|█████████▊| 68527/70000 [24:16:36<31:30, 1.28s/step] Training: 98%|█████████▊| 68528/70000 [24:16:37<30:57, 1.26s/step] Training: 98%|█████████▊| 68529/70000 [24:16:38<30:23, 1.24s/step] Training: 98%|█████████▊| 68530/70000 [24:16:40<31:04, 1.27s/step] Training: 98%|█████████▊| 68531/70000 [24:16:41<30:30, 1.25s/step] Training: 98%|█████████▊| 68532/70000 [24:16:42<30:12, 1.23s/step] Training: 98%|█████████▊| 68533/70000 [24:16:43<30:54, 1.26s/step] Training: 98%|█████████▊| 68534/70000 [24:16:45<31:16, 1.28s/step] Training: 98%|█████████▊| 68535/70000 [24:16:46<30:40, 1.26s/step] Training: 98%|█████████▊| 68536/70000 [24:16:47<31:15, 1.28s/step] Training: 98%|█████████▊| 68537/70000 [24:16:48<30:33, 1.25s/step] Training: 98%|█████████▊| 68538/70000 [24:16:50<31:05, 1.28s/step] Training: 98%|█████████▊| 68539/70000 [24:16:51<30:24, 1.25s/step] Training: 98%|█████████▊| 68540/70000 [24:16:52<30:15, 1.24s/step] Training: 98%|█████████▊| 68541/70000 [24:16:53<31:03, 1.28s/step] Training: 98%|█████████▊| 68542/70000 [24:16:55<31:34, 1.30s/step] Training: 98%|█████████▊| 68543/70000 [24:16:56<31:39, 1.30s/step] Training: 98%|█████████▊| 68544/70000 [24:16:57<31:51, 1.31s/step] Training: 98%|█████████▊| 68545/70000 [24:16:59<30:55, 1.28s/step] Training: 98%|█████████▊| 68546/70000 [24:17:00<31:14, 1.29s/step] Training: 98%|█████████▊| 68547/70000 [24:17:01<30:28, 1.26s/step] Training: 98%|█████████▊| 68548/70000 [24:17:02<29:59, 1.24s/step] Training: 98%|█████████▊| 68549/70000 [24:17:04<31:36, 1.31s/step] Training: 98%|█████████▊| 68550/70000 [24:17:05<30:42, 1.27s/step] Training: 98%|█████████▊| 68551/70000 [24:17:06<31:53, 1.32s/step] Training: 98%|█████████▊| 68552/70000 [24:17:08<31:55, 1.32s/step] Training: 98%|█████████▊| 68553/70000 [24:17:09<30:58, 1.28s/step] Training: 98%|█████████▊| 68554/70000 [24:17:10<30:24, 1.26s/step] Training: 98%|█████████▊| 68555/70000 [24:17:11<29:52, 1.24s/step] Training: 98%|█████████▊| 68556/70000 [24:17:13<30:30, 1.27s/step] Training: 98%|█████████▊| 68557/70000 [24:17:14<30:15, 1.26s/step] Training: 98%|█████████▊| 68558/70000 [24:17:15<30:38, 1.28s/step] Training: 98%|█████████▊| 68559/70000 [24:17:17<31:19, 1.30s/step] Training: 98%|█████████▊| 68560/70000 [24:17:18<30:37, 1.28s/step] Training: 98%|█████████▊| 68561/70000 [24:17:19<30:00, 1.25s/step] Training: 98%|█████████▊| 68562/70000 [24:17:20<30:30, 1.27s/step] Training: 98%|█████████▊| 68563/70000 [24:17:22<29:54, 1.25s/step] Training: 98%|█████████▊| 68564/70000 [24:17:23<29:37, 1.24s/step] Training: 98%|█████████▊| 68565/70000 [24:17:24<29:25, 1.23s/step] Training: 98%|█████████▊| 68566/70000 [24:17:25<30:03, 1.26s/step] Training: 98%|█████████▊| 68567/70000 [24:17:26<29:41, 1.24s/step] Training: 98%|█████████▊| 68568/70000 [24:17:28<30:18, 1.27s/step] Training: 98%|█████████▊| 68569/70000 [24:17:29<29:42, 1.25s/step] Training: 98%|█████████▊| 68570/70000 [24:17:30<30:14, 1.27s/step] Training: 98%|█████████▊| 68571/70000 [24:17:32<29:39, 1.25s/step] Training: 98%|█████████▊| 68572/70000 [24:17:33<29:31, 1.24s/step] Training: 98%|█████████▊| 68573/70000 [24:17:34<30:14, 1.27s/step] Training: 98%|█████████▊| 68574/70000 [24:17:35<30:19, 1.28s/step] Training: 98%|█████████▊| 68575/70000 [24:17:37<30:54, 1.30s/step] Training: 98%|█████████▊| 68576/70000 [24:17:38<31:01, 1.31s/step] Training: 98%|█████████▊| 68577/70000 [24:17:39<30:09, 1.27s/step] Training: 98%|█████████▊| 68578/70000 [24:17:40<29:33, 1.25s/step] Training: 98%|█████████▊| 68579/70000 [24:17:42<30:03, 1.27s/step] Training: 98%|█████████▊| 68580/70000 [24:17:43<29:27, 1.24s/step] Training: 98%|█████████▊| 68581/70000 [24:17:44<30:55, 1.31s/step] Training: 98%|█████████▊| 68582/70000 [24:17:46<30:08, 1.28s/step] Training: 98%|█████████▊| 68583/70000 [24:17:47<30:28, 1.29s/step] Training: 98%|█████████▊| 68584/70000 [24:17:48<29:58, 1.27s/step] Training: 98%|█████████▊| 68585/70000 [24:17:49<29:23, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=60670 Training: 98%|█████████▊| 68586/70000 [24:17:51<28:57, 1.23s/step] Training: 98%|█████████▊| 68587/70000 [24:17:52<29:40, 1.26s/step] Training: 98%|█████████▊| 68588/70000 [24:17:53<30:08, 1.28s/step] Training: 98%|█████████▊| 68589/70000 [24:17:54<29:48, 1.27s/step] Training: 98%|█████████▊| 68590/70000 [24:17:56<29:15, 1.24s/step] Training: 98%|█████████▊| 68591/70000 [24:17:57<29:06, 1.24s/step] Training: 98%|█████████▊| 68592/70000 [24:17:58<29:54, 1.27s/step] Training: 98%|█████████▊| 68593/70000 [24:17:59<29:13, 1.25s/step] Training: 98%|█████████▊| 68594/70000 [24:18:01<29:49, 1.27s/step] Training: 98%|█████████▊| 68595/70000 [24:18:02<29:14, 1.25s/step] Training: 98%|█████████▊| 68596/70000 [24:18:03<28:52, 1.23s/step] Training: 98%|█████████▊| 68597/70000 [24:18:04<28:40, 1.23s/step] Training: 98%|█████████▊| 68598/70000 [24:18:06<28:38, 1.23s/step] Training: 98%|█████████▊| 68599/70000 [24:18:07<28:31, 1.22s/step] Training: 98%|█████████▊| 68600/70000 [24:18:08<29:35, 1.27s/step]INFO 2026-03-13 20:28:00 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.15 loss:0.007 grdn:0.555 lr:1.0e-06 updt_s:1.247 data_s:0.019 Training: 98%|█████████▊| 68601/70000 [24:18:09<29:01, 1.24s/step] Training: 98%|█████████▊| 68602/70000 [24:18:11<29:36, 1.27s/step] Training: 98%|█████████▊| 68603/70000 [24:18:12<29:04, 1.25s/step] Training: 98%|█████████▊| 68604/70000 [24:18:13<28:50, 1.24s/step] Training: 98%|█████████▊| 68605/70000 [24:18:14<29:30, 1.27s/step] Training: 98%|█████████▊| 68606/70000 [24:18:16<29:50, 1.28s/step] Training: 98%|█████████▊| 68607/70000 [24:18:17<30:07, 1.30s/step] Training: 98%|█████████▊| 68608/70000 [24:18:18<30:22, 1.31s/step] Training: 98%|█████████▊| 68609/70000 [24:18:20<29:30, 1.27s/step] Training: 98%|█████████▊| 68610/70000 [24:18:21<29:12, 1.26s/step] Training: 98%|█████████▊| 68611/70000 [24:18:22<28:43, 1.24s/step] Training: 98%|█████████▊| 68612/70000 [24:18:23<28:23, 1.23s/step] Training: 98%|█████████▊| 68613/70000 [24:18:25<29:55, 1.29s/step] Training: 98%|█████████▊| 68614/70000 [24:18:26<30:33, 1.32s/step] Training: 98%|█████████▊| 68615/70000 [24:18:27<30:34, 1.32s/step] Training: 98%|█████████▊| 68616/70000 [24:18:29<29:43, 1.29s/step] Training: 98%|█████████▊| 68617/70000 [24:18:30<30:05, 1.31s/step] Training: 98%|█████████▊| 68618/70000 [24:18:31<29:19, 1.27s/step] Training: 98%|█████████▊| 68619/70000 [24:18:32<28:45, 1.25s/step] Training: 98%|█████████▊| 68620/70000 [24:18:33<28:20, 1.23s/step] Training: 98%|█████████▊| 68621/70000 [24:18:35<28:56, 1.26s/step] Training: 98%|█████████▊| 68622/70000 [24:18:36<29:22, 1.28s/step] Training: 98%|█████████▊| 68623/70000 [24:18:37<28:58, 1.26s/step] Training: 98%|█████████▊| 68624/70000 [24:18:39<28:48, 1.26s/step] Training: 98%|█████████▊| 68625/70000 [24:18:40<28:56, 1.26s/step] Training: 98%|█████████▊| 68626/70000 [24:18:41<29:28, 1.29s/step] Training: 98%|█████████▊| 68627/70000 [24:18:42<28:49, 1.26s/step] Training: 98%|█████████▊| 68628/70000 [24:18:44<28:19, 1.24s/step] Training: 98%|█████████▊| 68629/70000 [24:18:45<28:41, 1.26s/step] Training: 98%|█████████▊| 68630/70000 [24:18:46<29:29, 1.29s/step] Training: 98%|█████████▊| 68631/70000 [24:18:47<28:53, 1.27s/step] Training: 98%|█████████▊| 68632/70000 [24:18:49<28:23, 1.25s/step] Training: 98%|█████████▊| 68633/70000 [24:18:50<29:56, 1.31s/step] Training: 98%|█████████▊| 68634/70000 [24:18:51<29:59, 1.32s/step] Training: 98%|█████████▊| 68635/70000 [24:18:53<29:06, 1.28s/step] Training: 98%|█████████▊| 68636/70000 [24:18:54<28:27, 1.25s/step] Training: 98%|█████████▊| 68637/70000 [24:18:55<28:58, 1.28s/step] Training: 98%|█████████▊| 68638/70000 [24:18:57<29:20, 1.29s/step] Training: 98%|█████████▊| 68639/70000 [24:18:58<29:30, 1.30s/step] Training: 98%|█████████▊| 68640/70000 [24:18:59<28:43, 1.27s/step] Training: 98%|█████████▊| 68641/70000 [24:19:00<29:17, 1.29s/step] Training: 98%|█████████▊| 68642/70000 [24:19:02<30:02, 1.33s/step] Training: 98%|█████████▊| 68643/70000 [24:19:03<29:06, 1.29s/step] Training: 98%|█████████▊| 68644/70000 [24:19:04<28:25, 1.26s/step] Training: 98%|█████████▊| 68645/70000 [24:19:05<27:57, 1.24s/step] Training: 98%|█████████▊| 68646/70000 [24:19:07<29:22, 1.30s/step] Training: 98%|█████████▊| 68647/70000 [24:19:08<29:33, 1.31s/step] Training: 98%|█████████▊| 68648/70000 [24:19:09<28:57, 1.28s/step] Training: 98%|█████████▊| 68649/70000 [24:19:11<28:17, 1.26s/step] Training: 98%|█████████▊| 68650/70000 [24:19:12<28:51, 1.28s/step] Training: 98%|█████████▊| 68651/70000 [24:19:13<28:10, 1.25s/step] Training: 98%|█████████▊| 68652/70000 [24:19:14<27:43, 1.23s/step] Training: 98%|█████████▊| 68653/70000 [24:19:16<27:42, 1.23s/step] Training: 98%|█████████▊| 68654/70000 [24:19:17<29:00, 1.29s/step] Training: 98%|█████████▊| 68655/70000 [24:19:18<28:31, 1.27s/step] Training: 98%|█████████▊| 68656/70000 [24:19:19<28:04, 1.25s/step] Training: 98%|█████████▊| 68657/70000 [24:19:21<27:39, 1.24s/step] Training: 98%|█████████▊| 68658/70000 [24:19:22<29:06, 1.30s/step] Training: 98%|█████████▊| 68659/70000 [24:19:23<28:18, 1.27s/step] Training: 98%|█████████▊| 68660/70000 [24:19:24<27:43, 1.24s/step] Training: 98%|█████████▊| 68661/70000 [24:19:26<27:29, 1.23s/step] Training: 98%|█████████▊| 68662/70000 [24:19:27<28:25, 1.27s/step] Training: 98%|█████████▊| 68663/70000 [24:19:28<27:56, 1.25s/step] Training: 98%|█████████▊| 68664/70000 [24:19:30<28:24, 1.28s/step] Training: 98%|█████████▊| 68665/70000 [24:19:31<27:48, 1.25s/step] Training: 98%|█████████▊| 68666/70000 [24:19:32<29:02, 1.31s/step] Training: 98%|█████████▊| 68667/70000 [24:19:33<28:16, 1.27s/step] Training: 98%|█████████▊| 68668/70000 [24:19:35<27:42, 1.25s/step] Training: 98%|█████████▊| 68669/70000 [24:19:36<28:12, 1.27s/step] Training: 98%|█████████▊| 68670/70000 [24:19:37<29:09, 1.32s/step] Training: 98%|█████████▊| 68671/70000 [24:19:39<29:15, 1.32s/step] Training: 98%|█████████▊| 68672/70000 [24:19:40<29:19, 1.32s/step] Training: 98%|█████████▊| 68673/70000 [24:19:41<28:23, 1.28s/step] Training: 98%|█████████▊| 68674/70000 [24:19:43<29:08, 1.32s/step] Training: 98%|█████████▊| 68675/70000 [24:19:44<28:11, 1.28s/step] Training: 98%|█████████▊| 68676/70000 [24:19:45<27:35, 1.25s/step] Training: 98%|█████████▊| 68677/70000 [24:19:46<28:08, 1.28s/step] Training: 98%|█████████▊| 68678/70000 [24:19:48<28:30, 1.29s/step] Training: 98%|█████████▊| 68679/70000 [24:19:49<28:41, 1.30s/step] Training: 98%|█████████▊| 68680/70000 [24:19:50<28:10, 1.28s/step] Training: 98%|█████████▊| 68681/70000 [24:19:51<27:32, 1.25s/step] Training: 98%|█████████▊| 68682/70000 [24:19:53<27:26, 1.25s/step] Training: 98%|█████████▊| 68683/70000 [24:19:54<26:57, 1.23s/step] Training: 98%|█████████▊| 68684/70000 [24:19:55<26:39, 1.22s/step] Training: 98%|█████████▊| 68685/70000 [24:19:56<26:43, 1.22s/step] Training: 98%|█████████▊| 68686/70000 [24:19:57<27:25, 1.25s/step] Training: 98%|█████████▊| 68687/70000 [24:19:59<27:11, 1.24s/step] Training: 98%|█████████▊| 68688/70000 [24:20:00<26:55, 1.23s/step] Training: 98%|█████████▊| 68689/70000 [24:20:01<26:39, 1.22s/step] Training: 98%|█████████▊| 68690/70000 [24:20:02<27:20, 1.25s/step] Training: 98%|█████████▊| 68691/70000 [24:20:04<27:52, 1.28s/step] Training: 98%|█████████▊| 68692/70000 [24:20:05<27:12, 1.25s/step] Training: 98%|█████████▊| 68693/70000 [24:20:06<26:54, 1.24s/step] Training: 98%|█████████▊| 68694/70000 [24:20:08<27:49, 1.28s/step] Training: 98%|█████████▊| 68695/70000 [24:20:09<27:21, 1.26s/step] Training: 98%|█████████▊| 68696/70000 [24:20:10<27:48, 1.28s/step] Training: 98%|█████████▊| 68697/70000 [24:20:11<27:21, 1.26s/step] Training: 98%|█████████▊| 68698/70000 [24:20:13<27:57, 1.29s/step] Training: 98%|█████████▊| 68699/70000 [24:20:14<28:08, 1.30s/step] Training: 98%|█████████▊| 68700/70000 [24:20:15<27:22, 1.26s/step]INFO 2026-03-13 20:30:07 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.23 loss:0.007 grdn:0.542 lr:1.0e-06 updt_s:1.249 data_s:0.019 Training: 98%|█████████▊| 68701/70000 [24:20:16<27:43, 1.28s/step] Training: 98%|█████████▊| 68702/70000 [24:20:18<28:00, 1.29s/step] Training: 98%|█████████▊| 68703/70000 [24:20:19<28:13, 1.31s/step] Training: 98%|█████████▊| 68704/70000 [24:20:20<28:21, 1.31s/step] Training: 98%|█████████▊| 68705/70000 [24:20:22<27:32, 1.28s/step] Training: 98%|█████████▊| 68706/70000 [24:20:23<27:12, 1.26s/step] Training: 98%|█████████▊| 68707/70000 [24:20:24<27:45, 1.29s/step] Training: 98%|█████████▊| 68708/70000 [24:20:25<27:01, 1.25s/step] Training: 98%|█████████▊| 68709/70000 [24:20:27<27:28, 1.28s/step] Training: 98%|█████████▊| 68710/70000 [24:20:28<28:05, 1.31s/step] Training: 98%|█████████▊| 68711/70000 [24:20:29<28:12, 1.31s/step] Training: 98%|█████████▊| 68712/70000 [24:20:31<27:32, 1.28s/step] Training: 98%|█████████▊| 68713/70000 [24:20:32<26:56, 1.26s/step] Training: 98%|█████████▊| 68714/70000 [24:20:33<26:42, 1.25s/step] Training: 98%|█████████▊| 68715/70000 [24:20:34<26:20, 1.23s/step] Training: 98%|█████████▊| 68716/70000 [24:20:36<27:03, 1.26s/step] Training: 98%|█████████▊| 68717/70000 [24:20:37<26:40, 1.25s/step] Training: 98%|█████████▊| 68718/70000 [24:20:38<27:08, 1.27s/step] Training: 98%|█████████▊| 68719/70000 [24:20:39<26:49, 1.26s/step] Training: 98%|█████████▊| 68720/70000 [24:20:41<26:42, 1.25s/step] Training: 98%|█████████▊| 68721/70000 [24:20:42<26:18, 1.23s/step] Training: 98%|█████████▊| 68722/70000 [24:20:43<27:01, 1.27s/step] Training: 98%|█████████▊| 68723/70000 [24:20:44<26:29, 1.24s/step] Training: 98%|█████████▊| 68724/70000 [24:20:46<27:04, 1.27s/step] Training: 98%|█████████▊| 68725/70000 [24:20:47<26:36, 1.25s/step] Training: 98%|█████████▊| 68726/70000 [24:20:48<27:25, 1.29s/step] Training: 98%|█████████▊| 68727/70000 [24:20:49<26:59, 1.27s/step] Training: 98%|█████████▊| 68728/70000 [24:20:51<26:26, 1.25s/step] Training: 98%|█████████▊| 68729/70000 [24:20:52<26:48, 1.27s/step] Training: 98%|█████████▊| 68730/70000 [24:20:53<27:17, 1.29s/step] Training: 98%|█████████▊| 68731/70000 [24:20:55<26:39, 1.26s/step] Training: 98%|█████████▊| 68732/70000 [24:20:56<26:10, 1.24s/step] Training: 98%|█████████▊| 68733/70000 [24:20:57<26:43, 1.27s/step] Training: 98%|█████████▊| 68734/70000 [24:20:58<27:07, 1.29s/step] Training: 98%|█████████▊| 68735/70000 [24:21:00<27:25, 1.30s/step] Training: 98%|█████████▊| 68736/70000 [24:21:01<27:33, 1.31s/step] Training: 98%|█████████▊| 68737/70000 [24:21:02<26:48, 1.27s/step] Training: 98%|█████████▊| 68738/70000 [24:21:03<26:28, 1.26s/step] Training: 98%|█████████▊| 68739/70000 [24:21:05<26:00, 1.24s/step] Training: 98%|█████████▊| 68740/70000 [24:21:06<25:53, 1.23s/step] Training: 98%|█████████▊| 68741/70000 [24:21:07<26:25, 1.26s/step] Training: 98%|█████████▊| 68742/70000 [24:21:09<27:03, 1.29s/step] Training: 98%|█████████▊| 68743/70000 [24:21:10<27:16, 1.30s/step] Training: 98%|█████████▊| 68744/70000 [24:21:11<26:38, 1.27s/step] Training: 98%|█████████▊| 68745/70000 [24:21:12<26:06, 1.25s/step] Training: 98%|█████████▊| 68746/70000 [24:21:13<25:50, 1.24s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.1000]) > tolerance_s=2, retrying with idx=25666 Training: 98%|█████████▊| 68747/70000 [24:21:15<25:31, 1.22s/step] Training: 98%|█████████▊| 68748/70000 [24:21:16<25:47, 1.24s/step] Training: 98%|█████████▊| 68749/70000 [24:21:17<25:37, 1.23s/step] Training: 98%|█████████▊| 68750/70000 [24:21:18<26:16, 1.26s/step] Training: 98%|█████████▊| 68751/70000 [24:21:20<26:08, 1.26s/step] Training: 98%|█████████▊| 68752/70000 [24:21:21<25:58, 1.25s/step] Training: 98%|█████████▊| 68753/70000 [24:21:22<25:35, 1.23s/step] Training: 98%|█████████▊| 68754/70000 [24:21:23<26:15, 1.26s/step] Training: 98%|█████████▊| 68755/70000 [24:21:25<25:48, 1.24s/step] Training: 98%|█████████▊| 68756/70000 [24:21:26<25:26, 1.23s/step] Training: 98%|█████████▊| 68757/70000 [24:21:27<26:12, 1.26s/step] Training: 98%|█████████▊| 68758/70000 [24:21:29<26:52, 1.30s/step] Training: 98%|█████████▊| 68759/70000 [24:21:30<26:22, 1.28s/step] Training: 98%|█████████▊| 68760/70000 [24:21:31<25:52, 1.25s/step] Training: 98%|█████████▊| 68761/70000 [24:21:32<26:12, 1.27s/step] Training: 98%|█████████▊| 68762/70000 [24:21:34<26:42, 1.29s/step] Training: 98%|█████████▊| 68763/70000 [24:21:35<26:02, 1.26s/step] Training: 98%|█████████▊| 68764/70000 [24:21:36<25:36, 1.24s/step] Training: 98%|█████████▊| 68765/70000 [24:21:37<26:34, 1.29s/step] Training: 98%|█████████▊| 68766/70000 [24:21:39<26:48, 1.30s/step] Training: 98%|█████████▊| 68767/70000 [24:21:40<26:54, 1.31s/step] Training: 98%|█████████▊| 68768/70000 [24:21:41<26:57, 1.31s/step] Training: 98%|█████████▊| 68769/70000 [24:21:43<26:10, 1.28s/step] Training: 98%|█████████▊| 68770/70000 [24:21:44<25:57, 1.27s/step] Training: 98%|█████████▊| 68771/70000 [24:21:45<25:28, 1.24s/step] Training: 98%|█████████▊| 68772/70000 [24:21:46<25:06, 1.23s/step] Training: 98%|█████████▊| 68773/70000 [24:21:48<25:40, 1.26s/step] Training: 98%|█████████▊| 68774/70000 [24:21:49<26:53, 1.32s/step] Training: 98%|█████████▊| 68775/70000 [24:21:50<26:55, 1.32s/step] Training: 98%|█████████▊| 68776/70000 [24:21:52<26:18, 1.29s/step] Training: 98%|█████████▊| 68777/70000 [24:21:53<25:41, 1.26s/step] Training: 98%|█████████▊| 68778/70000 [24:21:54<25:22, 1.25s/step] Training: 98%|█████████▊| 68779/70000 [24:21:55<25:00, 1.23s/step] Training: 98%|█████████▊| 68780/70000 [24:21:56<24:45, 1.22s/step] Training: 98%|█████████▊| 68781/70000 [24:21:58<25:47, 1.27s/step] Training: 98%|█████████▊| 68782/70000 [24:21:59<26:03, 1.28s/step] Training: 98%|█████████▊| 68783/70000 [24:22:00<25:40, 1.27s/step] Training: 98%|█████████▊| 68784/70000 [24:22:02<25:24, 1.25s/step] Training: 98%|█████████▊| 68785/70000 [24:22:03<24:59, 1.23s/step] Training: 98%|█████████▊| 68786/70000 [24:22:04<25:30, 1.26s/step] Training: 98%|█████████▊| 68787/70000 [24:22:05<25:03, 1.24s/step] Training: 98%|█████████▊| 68788/70000 [24:22:06<24:43, 1.22s/step] Training: 98%|█████████▊| 68789/70000 [24:22:08<24:36, 1.22s/step] Training: 98%|█████████▊| 68790/70000 [24:22:09<25:58, 1.29s/step] Training: 98%|█████████▊| 68791/70000 [24:22:10<25:31, 1.27s/step] Training: 98%|█████████▊| 68792/70000 [24:22:11<25:05, 1.25s/step] Training: 98%|█████████▊| 68793/70000 [24:22:13<25:22, 1.26s/step] Training: 98%|█████████▊| 68794/70000 [24:22:14<25:46, 1.28s/step] Training: 98%|█████████▊| 68795/70000 [24:22:15<25:11, 1.25s/step] Training: 98%|█████████▊| 68796/70000 [24:22:16<24:46, 1.23s/step] Training: 98%|█████████▊| 68797/70000 [24:22:18<25:20, 1.26s/step] Training: 98%|█████████▊| 68798/70000 [24:22:19<26:25, 1.32s/step] Training: 98%|█████████▊| 68799/70000 [24:22:20<25:37, 1.28s/step] Training: 98%|█████████▊| 68800/70000 [24:22:22<25:52, 1.29s/step]INFO 2026-03-13 20:32:14 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.32 loss:0.007 grdn:0.878 lr:1.0e-06 updt_s:1.246 data_s:0.019 Training: 98%|█████████▊| 68801/70000 [24:22:23<25:12, 1.26s/step] Training: 98%|█████████▊| 68802/70000 [24:22:24<24:56, 1.25s/step] Training: 98%|█████████▊| 68803/70000 [24:22:25<24:33, 1.23s/step] Training: 98%|█████████▊| 68804/70000 [24:22:27<24:16, 1.22s/step] Training: 98%|█████████▊| 68805/70000 [24:22:28<24:53, 1.25s/step] Training: 98%|█████████▊| 68806/70000 [24:22:29<25:32, 1.28s/step] Training: 98%|█████████▊| 68807/70000 [24:22:30<24:57, 1.26s/step] Training: 98%|█████████▊| 68808/70000 [24:22:32<24:54, 1.25s/step] Training: 98%|█████████▊| 68809/70000 [24:22:33<24:29, 1.23s/step] Training: 98%|█████████▊| 68810/70000 [24:22:34<24:31, 1.24s/step] Training: 98%|█████████▊| 68811/70000 [24:22:35<24:13, 1.22s/step] Training: 98%|█████████▊| 68812/70000 [24:22:36<24:01, 1.21s/step] Training: 98%|█████████▊| 68813/70000 [24:22:38<24:02, 1.22s/step] Training: 98%|█████████▊| 68814/70000 [24:22:39<25:04, 1.27s/step] Training: 98%|█████████▊| 68815/70000 [24:22:40<24:35, 1.24s/step] Training: 98%|█████████▊| 68816/70000 [24:22:42<24:22, 1.24s/step] Training: 98%|█████████▊| 68817/70000 [24:22:43<24:04, 1.22s/step] Training: 98%|█████████▊| 68818/70000 [24:22:44<23:52, 1.21s/step] Training: 98%|█████████▊| 68819/70000 [24:22:45<24:32, 1.25s/step] Training: 98%|█████████▊| 68820/70000 [24:22:46<24:11, 1.23s/step] Training: 98%|█████████▊| 68821/70000 [24:22:48<23:59, 1.22s/step] Training: 98%|█████████▊| 68822/70000 [24:22:49<24:52, 1.27s/step] Training: 98%|█████████▊| 68823/70000 [24:22:50<24:25, 1.25s/step] Training: 98%|█████████▊| 68824/70000 [24:22:52<24:55, 1.27s/step] Training: 98%|█████████▊| 68825/70000 [24:22:53<24:25, 1.25s/step] Training: 98%|█████████▊| 68826/70000 [24:22:54<24:50, 1.27s/step] Training: 98%|█████████▊| 68827/70000 [24:22:55<24:22, 1.25s/step] Training: 98%|█████████▊| 68828/70000 [24:22:56<24:01, 1.23s/step] Training: 98%|█████████▊| 68829/70000 [24:22:58<24:32, 1.26s/step] Training: 98%|█████████▊| 68830/70000 [24:22:59<24:54, 1.28s/step] Training: 98%|█████████▊| 68831/70000 [24:23:00<25:16, 1.30s/step] Training: 98%|█████████▊| 68832/70000 [24:23:02<25:21, 1.30s/step] Training: 98%|█████████▊| 68833/70000 [24:23:03<24:41, 1.27s/step] Training: 98%|█████████▊| 68834/70000 [24:23:04<24:18, 1.25s/step] Training: 98%|█████████▊| 68835/70000 [24:23:05<23:55, 1.23s/step] Training: 98%|█████████▊| 68836/70000 [24:23:06<23:39, 1.22s/step] Training: 98%|█████████▊| 68837/70000 [24:23:08<24:15, 1.25s/step] Training: 98%|█████████▊| 68838/70000 [24:23:09<24:54, 1.29s/step] Training: 98%|█████████▊| 68839/70000 [24:23:10<24:55, 1.29s/step] Training: 98%|█████████▊| 68840/70000 [24:23:12<25:16, 1.31s/step] Training: 98%|█████████▊| 68841/70000 [24:23:13<24:34, 1.27s/step] Training: 98%|█████████▊| 68842/70000 [24:23:14<24:17, 1.26s/step] Training: 98%|█████████▊| 68843/70000 [24:23:15<23:51, 1.24s/step] Training: 98%|█████████▊| 68844/70000 [24:23:17<23:35, 1.22s/step] Training: 98%|█████████▊| 68845/70000 [24:23:18<23:40, 1.23s/step] Training: 98%|█████████▊| 68846/70000 [24:23:19<24:13, 1.26s/step] Training: 98%|█████████▊| 68847/70000 [24:23:21<24:41, 1.28s/step] Training: 98%|█████████▊| 68848/70000 [24:23:22<24:17, 1.27s/step] Training: 98%|█████████▊| 68849/70000 [24:23:23<23:50, 1.24s/step] Training: 98%|█████████▊| 68850/70000 [24:23:24<23:29, 1.23s/step] Training: 98%|█████████▊| 68851/70000 [24:23:25<24:00, 1.25s/step] Training: 98%|█████████▊| 68852/70000 [24:23:27<23:38, 1.24s/step] Training: 98%|█████████▊| 68853/70000 [24:23:28<23:28, 1.23s/step] Training: 98%|█████████▊| 68854/70000 [24:23:29<24:18, 1.27s/step] Training: 98%|█████████▊| 68855/70000 [24:23:31<24:44, 1.30s/step] Training: 98%|█████████▊| 68856/70000 [24:23:32<24:54, 1.31s/step] Training: 98%|█████████▊| 68857/70000 [24:23:33<24:13, 1.27s/step] Training: 98%|█████████▊| 68858/70000 [24:23:34<24:31, 1.29s/step] Training: 98%|█████████▊| 68859/70000 [24:23:36<23:55, 1.26s/step] Training: 98%|█████████▊| 68860/70000 [24:23:37<23:30, 1.24s/step] Training: 98%|█████████▊| 68861/70000 [24:23:38<24:05, 1.27s/step] Training: 98%|█████████▊| 68862/70000 [24:23:39<24:26, 1.29s/step] Training: 98%|█████████▊| 68863/70000 [24:23:41<23:51, 1.26s/step] Training: 98%|█████████▊| 68864/70000 [24:23:42<24:55, 1.32s/step] Training: 98%|█████████▊| 68865/70000 [24:23:43<24:11, 1.28s/step] Training: 98%|█████████▊| 68866/70000 [24:23:45<23:47, 1.26s/step] Training: 98%|█████████▊| 68867/70000 [24:23:46<23:23, 1.24s/step] Training: 98%|█████████▊| 68868/70000 [24:23:47<23:06, 1.23s/step] Training: 98%|█████████▊| 68869/70000 [24:23:48<23:41, 1.26s/step] Training: 98%|█████████▊| 68870/70000 [24:23:50<24:11, 1.28s/step] Training: 98%|█████████▊| 68871/70000 [24:23:51<23:41, 1.26s/step] Training: 98%|█████████▊| 68872/70000 [24:23:52<24:32, 1.31s/step] Training: 98%|█████████▊| 68873/70000 [24:23:53<23:52, 1.27s/step] Training: 98%|█████████▊| 68874/70000 [24:23:55<23:37, 1.26s/step] Training: 98%|█████████▊| 68875/70000 [24:23:56<23:14, 1.24s/step] Training: 98%|█████████▊| 68876/70000 [24:23:57<22:57, 1.23s/step] Training: 98%|█████████▊| 68877/70000 [24:23:58<22:49, 1.22s/step] Training: 98%|█████████▊| 68878/70000 [24:24:00<23:24, 1.25s/step] Training: 98%|█████████▊| 68879/70000 [24:24:01<23:04, 1.23s/step] Training: 98%|█████████▊| 68880/70000 [24:24:02<23:35, 1.26s/step] Training: 98%|█████████▊| 68881/70000 [24:24:03<23:08, 1.24s/step] Training: 98%|█████████▊| 68882/70000 [24:24:05<23:36, 1.27s/step] Training: 98%|█████████▊| 68883/70000 [24:24:06<23:09, 1.24s/step] Training: 98%|█████████▊| 68884/70000 [24:24:07<22:49, 1.23s/step] Training: 98%|█████████▊| 68885/70000 [24:24:08<22:50, 1.23s/step] Training: 98%|█████████▊| 68886/70000 [24:24:10<23:38, 1.27s/step] Training: 98%|█████████▊| 68887/70000 [24:24:11<23:09, 1.25s/step] Training: 98%|█████████▊| 68888/70000 [24:24:12<23:44, 1.28s/step] Training: 98%|█████████▊| 68889/70000 [24:24:13<23:08, 1.25s/step] Training: 98%|█████████▊| 68890/70000 [24:24:15<23:32, 1.27s/step] Training: 98%|█████████▊| 68891/70000 [24:24:16<23:05, 1.25s/step] Training: 98%|█████████▊| 68892/70000 [24:24:17<22:44, 1.23s/step] Training: 98%|█████████▊| 68893/70000 [24:24:18<22:28, 1.22s/step] Training: 98%|█████████▊| 68894/70000 [24:24:20<23:50, 1.29s/step] Training: 98%|█████████▊| 68895/70000 [24:24:21<23:14, 1.26s/step] Training: 98%|█████████▊| 68896/70000 [24:24:22<23:38, 1.29s/step] Training: 98%|█████████▊| 68897/70000 [24:24:23<23:05, 1.26s/step] Training: 98%|█████████▊| 68898/70000 [24:24:25<22:54, 1.25s/step] Training: 98%|█████████▊| 68899/70000 [24:24:26<22:34, 1.23s/step] Training: 98%|█████████▊| 68900/70000 [24:24:27<22:17, 1.22s/step]INFO 2026-03-13 20:34:19 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.40 loss:0.007 grdn:0.543 lr:1.0e-06 updt_s:1.231 data_s:0.019 Training: 98%|█████████▊| 68901/70000 [24:24:28<22:06, 1.21s/step] Training: 98%|█████████▊| 68902/70000 [24:24:30<22:46, 1.24s/step] Training: 98%|█████████▊| 68903/70000 [24:24:31<22:28, 1.23s/step] Training: 98%|█████████▊| 68904/70000 [24:24:32<23:14, 1.27s/step] Training: 98%|█████████▊| 68905/70000 [24:24:33<23:36, 1.29s/step] Training: 98%|█████████▊| 68906/70000 [24:24:35<23:08, 1.27s/step] Training: 98%|█████████▊| 68907/70000 [24:24:36<22:41, 1.25s/step] Training: 98%|█████████▊| 68908/70000 [24:24:37<22:22, 1.23s/step] Training: 98%|█████████▊| 68909/70000 [24:24:38<22:22, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=60670 Training: 98%|█████████▊| 68910/70000 [24:24:40<23:23, 1.29s/step] Training: 98%|█████████▊| 68911/70000 [24:24:41<22:49, 1.26s/step] Training: 98%|█████████▊| 68912/70000 [24:24:42<22:35, 1.25s/step] Training: 98%|█████████▊| 68913/70000 [24:24:43<22:55, 1.27s/step] Training: 98%|█████████▊| 68914/70000 [24:24:45<22:27, 1.24s/step] Training: 98%|█████████▊| 68915/70000 [24:24:46<22:55, 1.27s/step] Training: 98%|█████████▊| 68916/70000 [24:24:47<22:29, 1.25s/step] Training: 98%|█████████▊| 68917/70000 [24:24:48<22:12, 1.23s/step] Training: 98%|█████████▊| 68918/70000 [24:24:50<22:15, 1.23s/step] Training: 98%|█████████▊| 68919/70000 [24:24:51<21:59, 1.22s/step] Training: 98%|█████████▊| 68920/70000 [24:24:52<22:34, 1.25s/step] Training: 98%|█████████▊| 68921/70000 [24:24:53<23:06, 1.28s/step] Training: 98%|█████████▊| 68922/70000 [24:24:55<22:30, 1.25s/step] Training: 98%|█████████▊| 68923/70000 [24:24:56<22:31, 1.26s/step] Training: 98%|█████████▊| 68924/70000 [24:24:57<22:09, 1.24s/step] Training: 98%|█████████▊| 68925/70000 [24:24:58<22:36, 1.26s/step] Training: 98%|█████████▊| 68926/70000 [24:25:00<22:56, 1.28s/step] Training: 98%|█████████▊| 68927/70000 [24:25:01<22:24, 1.25s/step] Training: 98%|█████████▊| 68928/70000 [24:25:02<22:50, 1.28s/step] Training: 98%|█████████▊| 68929/70000 [24:25:03<22:20, 1.25s/step] Training: 98%|█████████▊| 68930/70000 [24:25:05<22:51, 1.28s/step] Training: 98%|█████████▊| 68931/70000 [24:25:06<22:22, 1.26s/step] Training: 98%|█████████▊| 68932/70000 [24:25:07<22:00, 1.24s/step] Training: 98%|█████████▊| 68933/70000 [24:25:08<22:25, 1.26s/step] Training: 98%|█████████▊| 68934/70000 [24:25:10<22:59, 1.29s/step] Training: 98%|█████████▊| 68935/70000 [24:25:11<22:25, 1.26s/step] Training: 98%|█████████▊| 68936/70000 [24:25:12<22:57, 1.29s/step] Training: 98%|█████████▊| 68937/70000 [24:25:14<22:23, 1.26s/step] Training: 98%|█████████▊| 68938/70000 [24:25:15<22:46, 1.29s/step] Training: 98%|█████████▊| 68939/70000 [24:25:16<22:54, 1.30s/step] Training: 98%|█████████▊| 68940/70000 [24:25:17<22:20, 1.26s/step] Training: 98%|█████████▊| 68941/70000 [24:25:19<22:04, 1.25s/step] Training: 98%|█████████▊| 68942/70000 [24:25:20<22:26, 1.27s/step] Training: 98%|█████████▊| 68943/70000 [24:25:21<22:42, 1.29s/step] Training: 98%|█████████▊| 68944/70000 [24:25:23<22:15, 1.26s/step] Training: 98%|█████████▊| 68945/70000 [24:25:24<21:50, 1.24s/step] Training: 98%|█████████▊| 68946/70000 [24:25:25<21:31, 1.23s/step] Training: 98%|█████████▊| 68947/70000 [24:25:26<22:07, 1.26s/step] Training: 98%|█████████▊| 68948/70000 [24:25:27<21:43, 1.24s/step] Training: 98%|█████████▊| 68949/70000 [24:25:29<21:35, 1.23s/step] Training: 98%|█████████▊| 68950/70000 [24:25:30<22:07, 1.26s/step] Training: 99%|█████████▊| 68951/70000 [24:25:31<22:22, 1.28s/step] Training: 99%|█████████▊| 68952/70000 [24:25:33<22:35, 1.29s/step] Training: 99%|█████████▊| 68953/70000 [24:25:34<22:01, 1.26s/step] Training: 99%|█████████▊| 68954/70000 [24:25:35<21:47, 1.25s/step] Training: 99%|█████████▊| 68955/70000 [24:25:36<22:12, 1.28s/step] Training: 99%|█████████▊| 68956/70000 [24:25:38<21:44, 1.25s/step] Training: 99%|█████████▊| 68957/70000 [24:25:39<22:08, 1.27s/step] Training: 99%|█████████▊| 68958/70000 [24:25:40<22:26, 1.29s/step] Training: 99%|█████████▊| 68959/70000 [24:25:41<21:53, 1.26s/step] Training: 99%|█████████▊| 68960/70000 [24:25:43<22:14, 1.28s/step] Training: 99%|█████████▊| 68961/70000 [24:25:44<21:44, 1.26s/step] Training: 99%|█████████▊| 68962/70000 [24:25:45<21:41, 1.25s/step] Training: 99%|█████████▊| 68963/70000 [24:25:46<21:24, 1.24s/step] Training: 99%|█████████▊| 68964/70000 [24:25:48<21:08, 1.22s/step] Training: 99%|█████████▊| 68965/70000 [24:25:49<21:42, 1.26s/step] Training: 99%|█████████▊| 68966/70000 [24:25:50<22:15, 1.29s/step] Training: 99%|█████████▊| 68967/70000 [24:25:51<21:41, 1.26s/step] Training: 99%|█████████▊| 68968/70000 [24:25:53<22:16, 1.29s/step] Training: 99%|█████████▊| 68969/70000 [24:25:54<21:45, 1.27s/step] Training: 99%|█████████▊| 68970/70000 [24:25:55<21:20, 1.24s/step] Training: 99%|█████████▊| 68971/70000 [24:25:57<22:16, 1.30s/step] Training: 99%|█████████▊| 68972/70000 [24:25:58<21:41, 1.27s/step] Training: 99%|█████████▊| 68973/70000 [24:25:59<21:28, 1.25s/step] Training: 99%|█████████▊| 68974/70000 [24:26:00<21:48, 1.28s/step] Training: 99%|█████████▊| 68975/70000 [24:26:02<21:33, 1.26s/step] Training: 99%|█████████▊| 68976/70000 [24:26:03<21:16, 1.25s/step] Training: 99%|█████████▊| 68977/70000 [24:26:04<21:00, 1.23s/step] Training: 99%|█████████▊| 68978/70000 [24:26:05<20:44, 1.22s/step] Training: 99%|█████████▊| 68979/70000 [24:26:07<21:42, 1.28s/step] Training: 99%|█████████▊| 68980/70000 [24:26:08<21:15, 1.25s/step] Training: 99%|█████████▊| 68981/70000 [24:26:09<21:02, 1.24s/step] Training: 99%|█████████▊| 68982/70000 [24:26:10<21:28, 1.27s/step] Training: 99%|█████████▊| 68983/70000 [24:26:12<21:14, 1.25s/step] Training: 99%|█████████▊| 68984/70000 [24:26:13<21:37, 1.28s/step] Training: 99%|█████████▊| 68985/70000 [24:26:14<21:08, 1.25s/step] Training: 99%|█████████▊| 68986/70000 [24:26:15<20:49, 1.23s/step] Training: 99%|█████████▊| 68987/70000 [24:26:17<21:17, 1.26s/step] Training: 99%|█████████▊| 68988/70000 [24:26:18<21:45, 1.29s/step] Training: 99%|█████████▊| 68989/70000 [24:26:19<21:52, 1.30s/step] Training: 99%|█████████▊| 68990/70000 [24:26:21<22:01, 1.31s/step] Training: 99%|█████████▊| 68991/70000 [24:26:22<22:05, 1.31s/step] Training: 99%|█████████▊| 68992/70000 [24:26:23<22:08, 1.32s/step] Training: 99%|█████████▊| 68993/70000 [24:26:24<21:28, 1.28s/step] Training: 99%|█████████▊| 68994/70000 [24:26:26<20:59, 1.25s/step] Training: 99%|█████████▊| 68995/70000 [24:26:27<21:27, 1.28s/step] Training: 99%|█████████▊| 68996/70000 [24:26:28<20:55, 1.25s/step] Training: 99%|█████████▊| 68997/70000 [24:26:30<21:17, 1.27s/step] Training: 99%|█████████▊| 68998/70000 [24:26:31<21:47, 1.30s/step] Training: 99%|█████████▊| 68999/70000 [24:26:32<21:52, 1.31s/step] Training: 99%|█████████▊| 69000/70000 [24:26:34<22:12, 1.33s/step]INFO 2026-03-13 20:36:26 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.48 loss:0.007 grdn:0.675 lr:1.0e-06 updt_s:1.246 data_s:0.019 Training: 99%|█████████▊| 69001/70000 [24:26:35<21:29, 1.29s/step] Training: 99%|█████████▊| 69002/70000 [24:26:36<20:55, 1.26s/step] Training: 99%|█████████▊| 69003/70000 [24:26:37<21:13, 1.28s/step] Training: 99%|█████████▊| 69004/70000 [24:26:39<21:33, 1.30s/step] Training: 99%|█████████▊| 69005/70000 [24:26:40<21:09, 1.28s/step] Training: 99%|█████████▊| 69006/70000 [24:26:41<21:23, 1.29s/step] Training: 99%|█████████▊| 69007/70000 [24:26:42<21:02, 1.27s/step] Training: 99%|█████████▊| 69008/70000 [24:26:44<20:44, 1.25s/step] Training: 99%|█████████▊| 69009/70000 [24:26:45<20:23, 1.23s/step] Training: 99%|█████████▊| 69010/70000 [24:26:46<20:08, 1.22s/step] Training: 99%|█████████▊| 69011/70000 [24:26:47<20:42, 1.26s/step] Training: 99%|█████████▊| 69012/70000 [24:26:49<21:07, 1.28s/step] Training: 99%|█████████▊| 69013/70000 [24:26:50<20:39, 1.26s/step] Training: 99%|█████████▊| 69014/70000 [24:26:51<20:59, 1.28s/step] Training: 99%|█████████▊| 69015/70000 [24:26:52<20:34, 1.25s/step] Training: 99%|█████████▊| 69016/70000 [24:26:54<20:56, 1.28s/step] Training: 99%|█████████▊| 69017/70000 [24:26:55<20:29, 1.25s/step] Training: 99%|█████████▊| 69018/70000 [24:26:56<20:10, 1.23s/step] Training: 99%|█████████▊| 69019/70000 [24:26:57<20:36, 1.26s/step] Training: 99%|█████████▊| 69020/70000 [24:26:59<20:16, 1.24s/step] Training: 99%|█████████▊| 69021/70000 [24:27:00<20:38, 1.27s/step] Training: 99%|█████████▊| 69022/70000 [24:27:01<20:56, 1.28s/step] Training: 99%|█████████▊| 69023/70000 [24:27:03<21:09, 1.30s/step] Training: 99%|█████████▊| 69024/70000 [24:27:04<21:17, 1.31s/step] Training: 99%|█████████▊| 69025/70000 [24:27:05<20:41, 1.27s/step] Training: 99%|█████████▊| 69026/70000 [24:27:06<20:15, 1.25s/step] Training: 99%|█████████▊| 69027/70000 [24:27:08<20:07, 1.24s/step] Training: 99%|█████████▊| 69028/70000 [24:27:09<19:59, 1.23s/step] Training: 99%|█████████▊| 69029/70000 [24:27:10<20:26, 1.26s/step] Training: 99%|█████████▊| 69030/70000 [24:27:12<21:32, 1.33s/step] Training: 99%|█████████▊| 69031/70000 [24:27:13<21:33, 1.33s/step] Training: 99%|█████████▊| 69032/70000 [24:27:14<21:43, 1.35s/step] Training: 99%|█████████▊| 69033/70000 [24:27:16<20:55, 1.30s/step] Training: 99%|█████████▊| 69034/70000 [24:27:17<20:24, 1.27s/step] Training: 99%|█████████▊| 69035/70000 [24:27:18<20:37, 1.28s/step] Training: 99%|█████████▊| 69036/70000 [24:27:19<20:31, 1.28s/step] Training: 99%|█████████▊| 69037/70000 [24:27:21<20:09, 1.26s/step] Training: 99%|█████████▊| 69038/70000 [24:27:22<20:31, 1.28s/step] Training: 99%|█████████▊| 69039/70000 [24:27:23<20:16, 1.27s/step] Training: 99%|█████████▊| 69040/70000 [24:27:24<20:07, 1.26s/step] Training: 99%|█████████▊| 69041/70000 [24:27:26<19:47, 1.24s/step] Training: 99%|█████████▊| 69042/70000 [24:27:27<19:35, 1.23s/step] Training: 99%|█████████▊| 69043/70000 [24:27:28<20:02, 1.26s/step] Training: 99%|█████████▊| 69044/70000 [24:27:29<19:41, 1.24s/step] Training: 99%|█████████▊| 69045/70000 [24:27:31<20:13, 1.27s/step] Training: 99%|█████████▊| 69046/70000 [24:27:32<20:26, 1.29s/step] Training: 99%|█████████▊| 69047/70000 [24:27:33<20:05, 1.26s/step] Training: 99%|█████████▊| 69048/70000 [24:27:34<20:22, 1.28s/step] Training: 99%|█████████▊| 69049/70000 [24:27:36<19:54, 1.26s/step] Training: 99%|█████████▊| 69050/70000 [24:27:37<19:33, 1.24s/step] Training: 99%|█████████▊| 69051/70000 [24:27:38<19:58, 1.26s/step] Training: 99%|█████████▊| 69052/70000 [24:27:39<19:36, 1.24s/step] Training: 99%|█████████▊| 69053/70000 [24:27:41<20:21, 1.29s/step] Training: 99%|█████████▊| 69054/70000 [24:27:42<20:30, 1.30s/step] Training: 99%|█████████▊| 69055/70000 [24:27:43<20:36, 1.31s/step] Training: 99%|█████████▊| 69056/70000 [24:27:45<20:40, 1.31s/step] Training: 99%|█████████▊| 69057/70000 [24:27:46<20:04, 1.28s/step] Training: 99%|█████████▊| 69058/70000 [24:27:47<19:37, 1.25s/step] Training: 99%|█████████▊| 69059/70000 [24:27:48<19:25, 1.24s/step] Training: 99%|█████████▊| 69060/70000 [24:27:50<19:12, 1.23s/step] Training: 99%|█████████▊| 69061/70000 [24:27:51<19:39, 1.26s/step] Training: 99%|█████████▊| 69062/70000 [24:27:52<20:26, 1.31s/step] Training: 99%|█████████▊| 69063/70000 [24:27:54<20:34, 1.32s/step] Training: 99%|█████████▊| 69064/70000 [24:27:55<20:46, 1.33s/step] Training: 99%|█████████▊| 69065/70000 [24:27:56<20:04, 1.29s/step] Training: 99%|█████████▊| 69066/70000 [24:27:57<19:36, 1.26s/step] Training: 99%|█████████▊| 69067/70000 [24:27:59<19:53, 1.28s/step] Training: 99%|█████████▊| 69068/70000 [24:28:00<19:27, 1.25s/step] Training: 99%|█████████▊| 69069/70000 [24:28:01<20:05, 1.29s/step] Training: 99%|█████████▊| 69070/70000 [24:28:03<20:10, 1.30s/step] Training: 99%|█████████▊| 69071/70000 [24:28:04<19:48, 1.28s/step] Training: 99%|█████████▊| 69072/70000 [24:28:05<19:28, 1.26s/step] Training: 99%|█████████▊| 69073/70000 [24:28:06<19:07, 1.24s/step] Training: 99%|█████████▊| 69074/70000 [24:28:07<18:53, 1.22s/step] Training: 99%|█████████▊| 69075/70000 [24:28:09<19:19, 1.25s/step] Training: 99%|█████████▊| 69076/70000 [24:28:10<19:00, 1.23s/step] Training: 99%|█████████▊| 69077/70000 [24:28:11<18:51, 1.23s/step] Training: 99%|█████████▊| 69078/70000 [24:28:13<19:44, 1.28s/step] Training: 99%|█████████▊| 69079/70000 [24:28:14<19:22, 1.26s/step] Training: 99%|█████████▊| 69080/70000 [24:28:15<19:43, 1.29s/step] Training: 99%|█████████▊| 69081/70000 [24:28:16<19:14, 1.26s/step] Training: 99%|█████████▊| 69082/70000 [24:28:17<18:54, 1.24s/step] Training: 99%|█████████▊| 69083/70000 [24:28:19<19:17, 1.26s/step] Training: 99%|█████████▊| 69084/70000 [24:28:20<18:56, 1.24s/step] Training: 99%|█████████▊| 69085/70000 [24:28:21<19:18, 1.27s/step] Training: 99%|█████████▊| 69086/70000 [24:28:23<20:02, 1.32s/step] Training: 99%|█████████▊| 69087/70000 [24:28:24<20:03, 1.32s/step] Training: 99%|█████████▊| 69088/70000 [24:28:25<20:07, 1.32s/step] Training: 99%|█████████▊| 69089/70000 [24:28:27<19:28, 1.28s/step] Training: 99%|█████████▊| 69090/70000 [24:28:28<19:02, 1.26s/step] Training: 99%|█████████▊| 69091/70000 [24:28:29<18:48, 1.24s/step] Training: 99%|█████████▊| 69092/70000 [24:28:30<18:34, 1.23s/step] Training: 99%|█████████▊| 69093/70000 [24:28:32<18:59, 1.26s/step] Training: 99%|█████████▊| 69094/70000 [24:28:33<19:30, 1.29s/step] Training: 99%|█████████▊| 69095/70000 [24:28:34<19:01, 1.26s/step] Training: 99%|█████████▊| 69096/70000 [24:28:35<19:15, 1.28s/step] Training: 99%|█████████▊| 69097/70000 [24:28:37<19:27, 1.29s/step] Training: 99%|█████████▊| 69098/70000 [24:28:38<18:57, 1.26s/step] Training: 99%|█████████▊| 69099/70000 [24:28:39<19:14, 1.28s/step] Training: 99%|█████████▊| 69100/70000 [24:28:40<18:48, 1.25s/step]INFO 2026-03-13 20:38:33 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.57 loss:0.008 grdn:0.555 lr:1.0e-06 updt_s:1.247 data_s:0.019 Training: 99%|█████████▊| 69101/70000 [24:28:42<18:39, 1.24s/step] Training: 99%|█████████▊| 69102/70000 [24:28:43<19:15, 1.29s/step] Training: 99%|█████████▊| 69103/70000 [24:28:44<18:49, 1.26s/step] Training: 99%|█████████▊| 69104/70000 [24:28:46<19:00, 1.27s/step] Training: 99%|█████████▊| 69105/70000 [24:28:47<19:08, 1.28s/step] Training: 99%|█████████▊| 69106/70000 [24:28:48<18:41, 1.25s/step] Training: 99%|█████████▊| 69107/70000 [24:28:49<18:58, 1.28s/step] Training: 99%|█████████▊| 69108/70000 [24:28:51<18:38, 1.25s/step] Training: 99%|█████████▊| 69109/70000 [24:28:52<18:24, 1.24s/step] Training: 99%|█████████▊| 69110/70000 [24:28:53<18:47, 1.27s/step] Training: 99%|█████████▊| 69111/70000 [24:28:54<18:26, 1.24s/step] Training: 99%|█████████▊| 69112/70000 [24:28:56<18:47, 1.27s/step] Training: 99%|█████████▊| 69113/70000 [24:28:57<18:25, 1.25s/step] Training: 99%|█████████▊| 69114/70000 [24:28:58<18:10, 1.23s/step] Training: 99%|█████████▊| 69115/70000 [24:28:59<18:33, 1.26s/step] Training: 99%|█████████▊| 69116/70000 [24:29:01<18:15, 1.24s/step] Training: 99%|█████████▊| 69117/70000 [24:29:02<18:36, 1.26s/step] Training: 99%|█████████▊| 69118/70000 [24:29:03<18:53, 1.29s/step] Training: 99%|█████████▊| 69119/70000 [24:29:05<19:10, 1.31s/step] Training: 99%|█████████▊| 69120/70000 [24:29:06<19:44, 1.35s/step] Training: 99%|█████████▊| 69121/70000 [24:29:07<19:02, 1.30s/step] Training: 99%|█████████▊| 69122/70000 [24:29:08<18:32, 1.27s/step] Training: 99%|█████████▊| 69123/70000 [24:29:10<18:15, 1.25s/step] Training: 99%|█████████▊| 69124/70000 [24:29:11<17:59, 1.23s/step] Training: 99%|█████████▉| 69125/70000 [24:29:12<18:24, 1.26s/step] Training: 99%|█████████▉| 69126/70000 [24:29:13<18:53, 1.30s/step] Training: 99%|█████████▉| 69127/70000 [24:29:15<18:50, 1.30s/step] Training: 99%|█████████▉| 69128/70000 [24:29:16<19:08, 1.32s/step] Training: 99%|█████████▉| 69129/70000 [24:29:17<18:34, 1.28s/step] Training: 99%|█████████▉| 69130/70000 [24:29:18<18:10, 1.25s/step] Training: 99%|█████████▉| 69131/70000 [24:29:20<18:29, 1.28s/step] Training: 99%|█████████▉| 69132/70000 [24:29:21<18:05, 1.25s/step] Training: 99%|█████████▉| 69133/70000 [24:29:22<17:56, 1.24s/step] Training: 99%|█████████▉| 69134/70000 [24:29:23<17:57, 1.24s/step] Training: 99%|█████████▉| 69135/70000 [24:29:25<18:24, 1.28s/step] Training: 99%|█████████▉| 69136/70000 [24:29:26<18:04, 1.26s/step] Training: 99%|█████████▉| 69137/70000 [24:29:27<17:47, 1.24s/step] Training: 99%|█████████▉| 69138/70000 [24:29:28<17:33, 1.22s/step] Training: 99%|█████████▉| 69139/70000 [24:29:30<17:23, 1.21s/step] Training: 99%|█████████▉| 69140/70000 [24:29:31<17:55, 1.25s/step] Training: 99%|█████████▉| 69141/70000 [24:29:32<17:43, 1.24s/step] Training: 99%|█████████▉| 69142/70000 [24:29:34<18:06, 1.27s/step] Training: 99%|█████████▉| 69143/70000 [24:29:35<18:28, 1.29s/step] Training: 99%|█████████▉| 69144/70000 [24:29:36<18:33, 1.30s/step] Training: 99%|█████████▉| 69145/70000 [24:29:37<18:03, 1.27s/step] Training: 99%|█████████▉| 69146/70000 [24:29:39<17:40, 1.24s/step] Training: 99%|█████████▉| 69147/70000 [24:29:40<17:25, 1.23s/step] Training: 99%|█████████▉| 69148/70000 [24:29:41<17:49, 1.26s/step] Training: 99%|█████████▉| 69149/70000 [24:29:42<18:07, 1.28s/step] Training: 99%|█████████▉| 69150/70000 [24:29:44<18:18, 1.29s/step] Training: 99%|█████████▉| 69151/70000 [24:29:45<17:50, 1.26s/step] Training: 99%|█████████▉| 69152/70000 [24:29:46<18:31, 1.31s/step] Training: 99%|█████████▉| 69153/70000 [24:29:48<17:59, 1.27s/step] Training: 99%|█████████▉| 69154/70000 [24:29:49<17:36, 1.25s/step] Training: 99%|█████████▉| 69155/70000 [24:29:50<17:21, 1.23s/step] Training: 99%|█████████▉| 69156/70000 [24:29:51<17:08, 1.22s/step] Training: 99%|█████████▉| 69157/70000 [24:29:52<17:35, 1.25s/step] Training: 99%|█████████▉| 69158/70000 [24:29:54<18:02, 1.29s/step] Training: 99%|█████████▉| 69159/70000 [24:29:55<17:37, 1.26s/step] Training: 99%|█████████▉| 69160/70000 [24:29:56<18:16, 1.31s/step] Training: 99%|█████████▉| 69161/70000 [24:29:58<17:47, 1.27s/step] Training: 99%|█████████▉| 69162/70000 [24:29:59<17:24, 1.25s/step] Training: 99%|█████████▉| 69163/70000 [24:30:00<17:09, 1.23s/step] Training: 99%|█████████▉| 69164/70000 [24:30:01<17:05, 1.23s/step] Training: 99%|█████████▉| 69165/70000 [24:30:02<17:04, 1.23s/step] Training: 99%|█████████▉| 69166/70000 [24:30:04<17:08, 1.23s/step] Training: 99%|█████████▉| 69167/70000 [24:30:05<16:56, 1.22s/step] Training: 99%|█████████▉| 69168/70000 [24:30:06<17:20, 1.25s/step] Training: 99%|█████████▉| 69169/70000 [24:30:07<17:03, 1.23s/step] Training: 99%|█████████▉| 69170/70000 [24:30:09<16:53, 1.22s/step] Training: 99%|█████████▉| 69171/70000 [24:30:10<16:47, 1.22s/step] Training: 99%|█████████▉| 69172/70000 [24:30:11<16:51, 1.22s/step] Training: 99%|█████████▉| 69173/70000 [24:30:12<16:50, 1.22s/step] Training: 99%|█████████▉| 69174/70000 [24:30:14<17:16, 1.26s/step] Training: 99%|█████████▉| 69175/70000 [24:30:15<17:02, 1.24s/step] Training: 99%|█████████▉| 69176/70000 [24:30:16<17:22, 1.26s/step] Training: 99%|█████████▉| 69177/70000 [24:30:17<17:41, 1.29s/step] Training: 99%|█████████▉| 69178/70000 [24:30:19<17:12, 1.26s/step] Training: 99%|█████████▉| 69179/70000 [24:30:20<16:55, 1.24s/step] Training: 99%|█████████▉| 69180/70000 [24:30:21<16:42, 1.22s/step] Training: 99%|█████████▉| 69181/70000 [24:30:22<17:34, 1.29s/step] Training: 99%|█████████▉| 69182/70000 [24:30:24<17:47, 1.30s/step] Training: 99%|█████████▉| 69183/70000 [24:30:25<17:19, 1.27s/step] Training: 99%|█████████▉| 69184/70000 [24:30:26<17:32, 1.29s/step] Training: 99%|█████████▉| 69185/70000 [24:30:27<17:06, 1.26s/step] Training: 99%|█████████▉| 69186/70000 [24:30:29<16:48, 1.24s/step] Training: 99%|█████████▉| 69187/70000 [24:30:30<16:34, 1.22s/step] Training: 99%|█████████▉| 69188/70000 [24:30:31<16:25, 1.21s/step] Training: 99%|█████████▉| 69189/70000 [24:30:32<16:50, 1.25s/step] Training: 99%|█████████▉| 69190/70000 [24:30:34<17:23, 1.29s/step] Training: 99%|█████████▉| 69191/70000 [24:30:35<16:58, 1.26s/step] Training: 99%|█████████▉| 69192/70000 [24:30:36<17:21, 1.29s/step] Training: 99%|█████████▉| 69193/70000 [24:30:38<17:03, 1.27s/step] Training: 99%|█████████▉| 69194/70000 [24:30:39<16:42, 1.24s/step] Training: 99%|█████████▉| 69195/70000 [24:30:40<16:27, 1.23s/step] Training: 99%|█████████▉| 69196/70000 [24:30:41<16:32, 1.23s/step] Training: 99%|█████████▉| 69197/70000 [24:30:42<16:27, 1.23s/step] Training: 99%|█████████▉| 69198/70000 [24:30:44<16:33, 1.24s/step] Training: 99%|█████████▉| 69199/70000 [24:30:45<16:22, 1.23s/step] Training: 99%|█████████▉| 69200/70000 [24:30:46<16:16, 1.22s/step]INFO 2026-03-13 20:40:38 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.65 loss:0.008 grdn:0.584 lr:1.0e-06 updt_s:1.235 data_s:0.019 Training: 99%|█████████▉| 69201/70000 [24:30:47<16:25, 1.23s/step] Training: 99%|█████████▉| 69202/70000 [24:30:48<16:12, 1.22s/step] Training: 99%|█████████▉| 69203/70000 [24:30:50<16:03, 1.21s/step] Training: 99%|█████████▉| 69204/70000 [24:30:51<16:01, 1.21s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0333]) > tolerance_s=2, retrying with idx=12313 Training: 99%|█████████▉| 69205/70000 [24:30:52<15:58, 1.21s/step] Training: 99%|█████████▉| 69206/70000 [24:30:53<16:29, 1.25s/step] Training: 99%|█████████▉| 69207/70000 [24:30:55<16:15, 1.23s/step] Training: 99%|█████████▉| 69208/70000 [24:30:56<16:39, 1.26s/step] Training: 99%|█████████▉| 69209/70000 [24:30:57<16:21, 1.24s/step] Training: 99%|█████████▉| 69210/70000 [24:30:58<16:46, 1.27s/step] Training: 99%|█████████▉| 69211/70000 [24:31:00<16:23, 1.25s/step] Training: 99%|█████████▉| 69212/70000 [24:31:01<16:41, 1.27s/step] Training: 99%|█████████▉| 69213/70000 [24:31:02<16:51, 1.29s/step] Training: 99%|█████████▉| 69214/70000 [24:31:04<16:59, 1.30s/step] Training: 99%|█████████▉| 69215/70000 [24:31:05<16:35, 1.27s/step] Training: 99%|█████████▉| 69216/70000 [24:31:06<16:50, 1.29s/step] Training: 99%|█████████▉| 69217/70000 [24:31:07<16:55, 1.30s/step] Training: 99%|█████████▉| 69218/70000 [24:31:09<16:41, 1.28s/step] Training: 99%|█████████▉| 69219/70000 [24:31:10<16:18, 1.25s/step] Training: 99%|█████████▉| 69220/70000 [24:31:11<16:33, 1.27s/step] Training: 99%|█████████▉| 69221/70000 [24:31:13<16:44, 1.29s/step] Training: 99%|█████████▉| 69222/70000 [24:31:14<17:01, 1.31s/step] Training: 99%|█████████▉| 69223/70000 [24:31:15<16:31, 1.28s/step] Training: 99%|█████████▉| 69224/70000 [24:31:16<16:48, 1.30s/step] Training: 99%|█████████▉| 69225/70000 [24:31:18<16:49, 1.30s/step] Training: 99%|█████████▉| 69226/70000 [24:31:19<16:34, 1.28s/step] Training: 99%|█████████▉| 69227/70000 [24:31:20<16:08, 1.25s/step] Training: 99%|█████████▉| 69228/70000 [24:31:21<16:01, 1.25s/step] Training: 99%|█████████▉| 69229/70000 [24:31:23<15:58, 1.24s/step] Training: 99%|█████████▉| 69230/70000 [24:31:24<15:58, 1.24s/step] Training: 99%|█████████▉| 69231/70000 [24:31:25<15:47, 1.23s/step] Training: 99%|█████████▉| 69232/70000 [24:31:26<15:40, 1.22s/step] Training: 99%|█████████▉| 69233/70000 [24:31:28<15:32, 1.22s/step] Training: 99%|█████████▉| 69234/70000 [24:31:29<15:25, 1.21s/step] Training: 99%|█████████▉| 69235/70000 [24:31:30<15:57, 1.25s/step] Training: 99%|█████████▉| 69236/70000 [24:31:31<15:43, 1.24s/step] Training: 99%|█████████▉| 69237/70000 [24:31:32<15:35, 1.23s/step] Training: 99%|█████████▉| 69238/70000 [24:31:34<15:57, 1.26s/step] Training: 99%|█████████▉| 69239/70000 [24:31:35<15:43, 1.24s/step] Training: 99%|█████████▉| 69240/70000 [24:31:36<16:02, 1.27s/step] Training: 99%|█████████▉| 69241/70000 [24:31:38<16:09, 1.28s/step] Training: 99%|█████████▉| 69242/70000 [24:31:39<15:47, 1.25s/step] Training: 99%|█████████▉| 69243/70000 [24:31:40<15:55, 1.26s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=21548 Training: 99%|█████████▉| 69244/70000 [24:31:41<16:10, 1.28s/step] Training: 99%|█████████▉| 69245/70000 [24:31:43<16:18, 1.30s/step] Training: 99%|█████████▉| 69246/70000 [24:31:44<16:26, 1.31s/step] Training: 99%|█████████▉| 69247/70000 [24:31:45<15:58, 1.27s/step] Training: 99%|█████████▉| 69248/70000 [24:31:47<16:11, 1.29s/step] Training: 99%|█████████▉| 69249/70000 [24:31:48<16:17, 1.30s/step] Training: 99%|█████████▉| 69250/70000 [24:31:49<15:51, 1.27s/step] Training: 99%|█████████▉| 69251/70000 [24:31:51<16:08, 1.29s/step] Training: 99%|█████████▉| 69252/70000 [24:31:52<16:12, 1.30s/step] Training: 99%|█████████▉| 69253/70000 [24:31:53<15:47, 1.27s/step] Training: 99%|█████████▉| 69254/70000 [24:31:54<16:22, 1.32s/step] Training: 99%|█████████▉| 69255/70000 [24:31:56<15:52, 1.28s/step] Training: 99%|█████████▉| 69256/70000 [24:31:57<15:42, 1.27s/step] Training: 99%|█████████▉| 69257/70000 [24:31:58<15:31, 1.25s/step] Training: 99%|█████████▉| 69258/70000 [24:31:59<15:16, 1.23s/step] Training: 99%|█████████▉| 69259/70000 [24:32:01<15:42, 1.27s/step] Training: 99%|█████████▉| 69260/70000 [24:32:02<15:30, 1.26s/step] Training: 99%|█████████▉| 69261/70000 [24:32:03<15:14, 1.24s/step] Training: 99%|█████████▉| 69262/70000 [24:32:04<15:29, 1.26s/step] Training: 99%|█████████▉| 69263/70000 [24:32:06<15:13, 1.24s/step] Training: 99%|█████████▉| 69264/70000 [24:32:07<15:05, 1.23s/step] Training: 99%|█████████▉| 69265/70000 [24:32:08<15:25, 1.26s/step] Training: 99%|█████████▉| 69266/70000 [24:32:09<15:08, 1.24s/step] Training: 99%|█████████▉| 69267/70000 [24:32:10<14:56, 1.22s/step] Training: 99%|█████████▉| 69268/70000 [24:32:12<15:21, 1.26s/step] Training: 99%|█████████▉| 69269/70000 [24:32:13<15:03, 1.24s/step] Training: 99%|█████████▉| 69270/70000 [24:32:14<15:44, 1.29s/step] Training: 99%|█████████▉| 69271/70000 [24:32:16<15:20, 1.26s/step] Training: 99%|█████████▉| 69272/70000 [24:32:17<15:37, 1.29s/step] Training: 99%|█████████▉| 69273/70000 [24:32:18<15:43, 1.30s/step] Training: 99%|█████████▉| 69274/70000 [24:32:19<15:18, 1.26s/step] Training: 99%|█████████▉| 69275/70000 [24:32:21<15:00, 1.24s/step] Training: 99%|█████████▉| 69276/70000 [24:32:22<15:45, 1.31s/step] Training: 99%|█████████▉| 69277/70000 [24:32:23<15:24, 1.28s/step] Training: 99%|█████████▉| 69278/70000 [24:32:25<15:36, 1.30s/step] Training: 99%|█████████▉| 69279/70000 [24:32:26<15:12, 1.27s/step] Training: 99%|█████████▉| 69280/70000 [24:32:27<15:25, 1.29s/step] Training: 99%|█████████▉| 69281/70000 [24:32:29<15:34, 1.30s/step] Training: 99%|█████████▉| 69282/70000 [24:32:30<15:09, 1.27s/step] Training: 99%|█████████▉| 69283/70000 [24:32:31<14:51, 1.24s/step] Training: 99%|█████████▉| 69284/70000 [24:32:32<15:36, 1.31s/step] Training: 99%|█████████▉| 69285/70000 [24:32:34<15:39, 1.31s/step] Training: 99%|█████████▉| 69286/70000 [24:32:35<15:49, 1.33s/step] Training: 99%|█████████▉| 69287/70000 [24:32:36<15:17, 1.29s/step] Training: 99%|█████████▉| 69288/70000 [24:32:37<15:03, 1.27s/step] Training: 99%|█████████▉| 69289/70000 [24:32:39<14:51, 1.25s/step] Training: 99%|█████████▉| 69290/70000 [24:32:40<14:36, 1.23s/step] Training: 99%|█████████▉| 69291/70000 [24:32:41<14:26, 1.22s/step] Training: 99%|█████████▉| 69292/70000 [24:32:42<15:03, 1.28s/step] Training: 99%|█████████▉| 69293/70000 [24:32:44<15:09, 1.29s/step] Training: 99%|█████████▉| 69294/70000 [24:32:45<15:00, 1.28s/step] Training: 99%|█████████▉| 69295/70000 [24:32:46<14:42, 1.25s/step] Training: 99%|█████████▉| 69296/70000 [24:32:47<14:32, 1.24s/step] Training: 99%|█████████▉| 69297/70000 [24:32:49<14:51, 1.27s/step] Training: 99%|█████████▉| 69298/70000 [24:32:50<14:33, 1.24s/step] Training: 99%|█████████▉| 69299/70000 [24:32:51<14:20, 1.23s/step] Training: 99%|█████████▉| 69300/70000 [24:32:52<14:21, 1.23s/step]INFO 2026-03-13 20:42:45 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.74 loss:0.008 grdn:0.895 lr:1.0e-06 updt_s:1.243 data_s:0.019 Training: 99%|█████████▉| 69301/70000 [24:32:54<14:39, 1.26s/step] Training: 99%|█████████▉| 69302/70000 [24:32:55<14:52, 1.28s/step] Training: 99%|█████████▉| 69303/70000 [24:32:56<14:32, 1.25s/step] Training: 99%|█████████▉| 69304/70000 [24:32:58<14:48, 1.28s/step] Training: 99%|█████████▉| 69305/70000 [24:32:59<14:56, 1.29s/step] Training: 99%|█████████▉| 69306/70000 [24:33:00<14:33, 1.26s/step] Training: 99%|█████████▉| 69307/70000 [24:33:01<14:18, 1.24s/step] Training: 99%|█████████▉| 69308/70000 [24:33:03<14:39, 1.27s/step] Training: 99%|█████████▉| 69309/70000 [24:33:04<14:54, 1.29s/step] Training: 99%|█████████▉| 69310/70000 [24:33:05<14:58, 1.30s/step] Training: 99%|█████████▉| 69311/70000 [24:33:07<15:05, 1.31s/step] Training: 99%|█████████▉| 69312/70000 [24:33:08<15:07, 1.32s/step] Training: 99%|█████████▉| 69313/70000 [24:33:09<15:06, 1.32s/step] Training: 99%|█████████▉| 69314/70000 [24:33:10<14:38, 1.28s/step] Training: 99%|█████████▉| 69315/70000 [24:33:12<14:18, 1.25s/step] Training: 99%|█████████▉| 69316/70000 [24:33:13<14:31, 1.27s/step] Training: 99%|█████████▉| 69317/70000 [24:33:14<15:03, 1.32s/step] Training: 99%|█████████▉| 69318/70000 [24:33:16<15:03, 1.32s/step] Training: 99%|█████████▉| 69319/70000 [24:33:17<14:59, 1.32s/step] Training: 99%|█████████▉| 69320/70000 [24:33:18<14:42, 1.30s/step] Training: 99%|█████████▉| 69321/70000 [24:33:20<14:38, 1.29s/step] Training: 99%|█████████▉| 69322/70000 [24:33:21<14:15, 1.26s/step] Training: 99%|█████████▉| 69323/70000 [24:33:22<13:59, 1.24s/step] Training: 99%|█████████▉| 69324/70000 [24:33:23<13:58, 1.24s/step] Training: 99%|█████████▉| 69325/70000 [24:33:25<14:24, 1.28s/step] Training: 99%|█████████▉| 69326/70000 [24:33:26<14:09, 1.26s/step] Training: 99%|█████████▉| 69327/70000 [24:33:27<13:53, 1.24s/step] Training: 99%|█████████▉| 69328/70000 [24:33:28<13:47, 1.23s/step] Training: 99%|█████████▉| 69329/70000 [24:33:29<13:38, 1.22s/step] Training: 99%|█████████▉| 69330/70000 [24:33:31<13:32, 1.21s/step] Training: 99%|█████████▉| 69331/70000 [24:33:32<13:25, 1.20s/step] Training: 99%|█████████▉| 69332/70000 [24:33:33<13:26, 1.21s/step] Training: 99%|█████████▉| 69333/70000 [24:33:34<13:52, 1.25s/step] Training: 99%|█████████▉| 69334/70000 [24:33:36<14:10, 1.28s/step] Training: 99%|█████████▉| 69335/70000 [24:33:37<14:16, 1.29s/step] Training: 99%|█████████▉| 69336/70000 [24:33:38<14:24, 1.30s/step] Training: 99%|█████████▉| 69337/70000 [24:33:40<14:29, 1.31s/step] Training: 99%|█████████▉| 69338/70000 [24:33:41<14:03, 1.27s/step] Training: 99%|█████████▉| 69339/70000 [24:33:42<13:45, 1.25s/step] Training: 99%|█████████▉| 69340/70000 [24:33:43<14:00, 1.27s/step] Training: 99%|█████████▉| 69341/70000 [24:33:45<13:47, 1.26s/step] Training: 99%|█████████▉| 69342/70000 [24:33:46<14:23, 1.31s/step] Training: 99%|█████████▉| 69343/70000 [24:33:47<14:25, 1.32s/step] Training: 99%|█████████▉| 69344/70000 [24:33:49<14:26, 1.32s/step] Training: 99%|█████████▉| 69345/70000 [24:33:50<14:26, 1.32s/step] Training: 99%|█████████▉| 69346/70000 [24:33:51<13:59, 1.28s/step] Training: 99%|█████████▉| 69347/70000 [24:33:52<13:39, 1.26s/step] Training: 99%|█████████▉| 69348/70000 [24:33:54<13:53, 1.28s/step] Training: 99%|█████████▉| 69349/70000 [24:33:55<14:02, 1.29s/step] Training: 99%|█████████▉| 69350/70000 [24:33:56<14:06, 1.30s/step] Training: 99%|█████████▉| 69351/70000 [24:33:58<13:46, 1.27s/step] Training: 99%|█████████▉| 69352/70000 [24:33:59<13:37, 1.26s/step] Training: 99%|█████████▉| 69353/70000 [24:34:00<13:48, 1.28s/step] Training: 99%|█████████▉| 69354/70000 [24:34:01<13:29, 1.25s/step] Training: 99%|█████████▉| 69355/70000 [24:34:03<13:15, 1.23s/step] Training: 99%|█████████▉| 69356/70000 [24:34:04<13:16, 1.24s/step] Training: 99%|█████████▉| 69357/70000 [24:34:05<13:32, 1.26s/step] Training: 99%|█████████▉| 69358/70000 [24:34:06<13:25, 1.25s/step] Training: 99%|█████████▉| 69359/70000 [24:34:08<13:37, 1.28s/step] Training: 99%|█████████▉| 69360/70000 [24:34:09<13:28, 1.26s/step] Training: 99%|█████████▉| 69361/70000 [24:34:10<13:18, 1.25s/step] Training: 99%|█████████▉| 69362/70000 [24:34:11<13:06, 1.23s/step] Training: 99%|█████████▉| 69363/70000 [24:34:12<12:56, 1.22s/step] Training: 99%|█████████▉| 69364/70000 [24:34:14<12:54, 1.22s/step] Training: 99%|█████████▉| 69365/70000 [24:34:15<13:14, 1.25s/step] Training: 99%|█████████▉| 69366/70000 [24:34:16<13:14, 1.25s/step] Training: 99%|█████████▉| 69367/70000 [24:34:18<13:26, 1.27s/step] Training: 99%|█████████▉| 69368/70000 [24:34:19<13:38, 1.29s/step] Training: 99%|█████████▉| 69369/70000 [24:34:20<13:43, 1.31s/step] Training: 99%|█████████▉| 69370/70000 [24:34:21<13:20, 1.27s/step] Training: 99%|█████████▉| 69371/70000 [24:34:23<13:03, 1.25s/step] Training: 99%|█████████▉| 69372/70000 [24:34:24<13:21, 1.28s/step] Training: 99%|█████████▉| 69373/70000 [24:34:25<13:08, 1.26s/step] Training: 99%|█████████▉| 69374/70000 [24:34:26<12:54, 1.24s/step] Training: 99%|█████████▉| 69375/70000 [24:34:28<13:39, 1.31s/step] Training: 99%|█████████▉| 69376/70000 [24:34:29<13:43, 1.32s/step] Training: 99%|█████████▉| 69377/70000 [24:34:31<13:43, 1.32s/step] Training: 99%|█████████▉| 69378/70000 [24:34:32<13:17, 1.28s/step] Training: 99%|█████████▉| 69379/70000 [24:34:33<12:59, 1.26s/step] Training: 99%|█████████▉| 69380/70000 [24:34:34<13:11, 1.28s/step] Training: 99%|█████████▉| 69381/70000 [24:34:36<13:19, 1.29s/step] Training: 99%|█████████▉| 69382/70000 [24:34:37<13:24, 1.30s/step] Training: 99%|█████████▉| 69383/70000 [24:34:38<13:19, 1.30s/step] Training: 99%|█████████▉| 69384/70000 [24:34:39<13:07, 1.28s/step] Training: 99%|█████████▉| 69385/70000 [24:34:41<13:14, 1.29s/step] Training: 99%|█████████▉| 69386/70000 [24:34:42<12:54, 1.26s/step] Training: 99%|█████████▉| 69387/70000 [24:34:43<12:39, 1.24s/step] Training: 99%|█████████▉| 69388/70000 [24:34:44<12:36, 1.24s/step] Training: 99%|█████████▉| 69389/70000 [24:34:46<12:50, 1.26s/step] Training: 99%|█████████▉| 69390/70000 [24:34:47<12:39, 1.25s/step] Training: 99%|█████████▉| 69391/70000 [24:34:48<12:52, 1.27s/step] Training: 99%|█████████▉| 69392/70000 [24:34:50<13:04, 1.29s/step] Training: 99%|█████████▉| 69393/70000 [24:34:51<12:46, 1.26s/step] Training: 99%|█████████▉| 69394/70000 [24:34:52<12:31, 1.24s/step] Training: 99%|█████████▉| 69395/70000 [24:34:53<12:20, 1.22s/step] Training: 99%|█████████▉| 69396/70000 [24:34:54<12:22, 1.23s/step] Training: 99%|█████████▉| 69397/70000 [24:34:56<12:39, 1.26s/step] Training: 99%|█████████▉| 69398/70000 [24:34:57<12:32, 1.25s/step] Training: 99%|█████████▉| 69399/70000 [24:34:58<12:50, 1.28s/step] Training: 99%|█████████▉| 69400/70000 [24:35:00<12:55, 1.29s/step]INFO 2026-03-13 20:44:52 ot_train.py:435 step:69K smpl:4M ep:15K epch:58.82 loss:0.007 grdn:0.538 lr:1.0e-06 updt_s:1.251 data_s:0.019 Training: 99%|█████████▉| 69401/70000 [24:35:01<13:00, 1.30s/step] Training: 99%|█████████▉| 69402/70000 [24:35:02<12:38, 1.27s/step] Training: 99%|█████████▉| 69403/70000 [24:35:03<12:24, 1.25s/step] Training: 99%|█████████▉| 69404/70000 [24:35:04<12:12, 1.23s/step] Training: 99%|█████████▉| 69405/70000 [24:35:06<12:27, 1.26s/step] Training: 99%|█████████▉| 69406/70000 [24:35:07<12:15, 1.24s/step] Training: 99%|█████████▉| 69407/70000 [24:35:08<12:53, 1.31s/step] Training: 99%|█████████▉| 69408/70000 [24:35:10<13:16, 1.35s/step] Training: 99%|█████████▉| 69409/70000 [24:35:11<13:13, 1.34s/step] Training: 99%|█████████▉| 69410/70000 [24:35:12<12:44, 1.30s/step] Training: 99%|█████████▉| 69411/70000 [24:35:14<12:24, 1.26s/step] Training: 99%|█████████▉| 69412/70000 [24:35:15<12:10, 1.24s/step] Training: 99%|█████████▉| 69413/70000 [24:35:16<12:23, 1.27s/step] Training: 99%|█████████▉| 69414/70000 [24:35:17<12:33, 1.29s/step] Training: 99%|█████████▉| 69415/70000 [24:35:19<12:19, 1.26s/step] Training: 99%|█████████▉| 69416/70000 [24:35:20<12:33, 1.29s/step] Training: 99%|█████████▉| 69417/70000 [24:35:21<12:37, 1.30s/step] Training: 99%|█████████▉| 69418/70000 [24:35:23<12:17, 1.27s/step] Training: 99%|█████████▉| 69419/70000 [24:35:24<12:02, 1.24s/step] Training: 99%|█████████▉| 69420/70000 [24:35:25<12:00, 1.24s/step] Training: 99%|█████████▉| 69421/70000 [24:35:26<12:13, 1.27s/step] Training: 99%|█████████▉| 69422/70000 [24:35:28<12:19, 1.28s/step] Training: 99%|█████████▉| 69423/70000 [24:35:29<12:27, 1.30s/step] Training: 99%|█████████▉| 69424/70000 [24:35:30<12:11, 1.27s/step] Training: 99%|█████████▉| 69425/70000 [24:35:31<12:02, 1.26s/step] Training: 99%|█████████▉| 69426/70000 [24:35:33<11:49, 1.24s/step] Training: 99%|█████████▉| 69427/70000 [24:35:34<11:39, 1.22s/step] Training: 99%|█████████▉| 69428/70000 [24:35:35<11:39, 1.22s/step] Training: 99%|█████████▉| 69429/70000 [24:35:36<11:57, 1.26s/step] Training: 99%|█████████▉| 69430/70000 [24:35:38<11:51, 1.25s/step] Training: 99%|█████████▉| 69431/70000 [24:35:39<12:05, 1.27s/step] Training: 99%|█████████▉| 69432/70000 [24:35:40<12:22, 1.31s/step] Training: 99%|█████████▉| 69433/70000 [24:35:42<12:24, 1.31s/step] Training: 99%|█████████▉| 69434/70000 [24:35:43<12:02, 1.28s/step] Training: 99%|█████████▉| 69435/70000 [24:35:44<11:46, 1.25s/step] Training: 99%|█████████▉| 69436/70000 [24:35:45<11:34, 1.23s/step] Training: 99%|█████████▉| 69437/70000 [24:35:46<11:49, 1.26s/step] Training: 99%|█████████▉| 69438/70000 [24:35:48<11:36, 1.24s/step] Training: 99%|█████████▉| 69439/70000 [24:35:49<12:29, 1.34s/step] Training: 99%|█████████▉| 69440/70000 [24:35:51<12:28, 1.34s/step] Training: 99%|█████████▉| 69441/70000 [24:35:52<12:25, 1.33s/step] Training: 99%|█████████▉| 69442/70000 [24:35:53<12:00, 1.29s/step] Training: 99%|█████████▉| 69443/70000 [24:35:54<11:41, 1.26s/step] Training: 99%|█████████▉| 69444/70000 [24:35:55<11:28, 1.24s/step] Training: 99%|█████████▉| 69445/70000 [24:35:57<11:56, 1.29s/step] Training: 99%|█████████▉| 69446/70000 [24:35:58<11:37, 1.26s/step] Training: 99%|█████████▉| 69447/70000 [24:35:59<11:30, 1.25s/step] Training: 99%|█████████▉| 69448/70000 [24:36:01<11:28, 1.25s/step] Training: 99%|█████████▉| 69449/70000 [24:36:02<11:54, 1.30s/step] Training: 99%|█████████▉| 69450/70000 [24:36:03<11:34, 1.26s/step] Training: 99%|█████████▉| 69451/70000 [24:36:04<11:21, 1.24s/step] Training: 99%|█████████▉| 69452/70000 [24:36:06<11:11, 1.23s/step] Training: 99%|█████████▉| 69453/70000 [24:36:07<11:43, 1.29s/step] Training: 99%|█████████▉| 69454/70000 [24:36:08<11:32, 1.27s/step] Training: 99%|█████████▉| 69455/70000 [24:36:09<11:42, 1.29s/step] Training: 99%|█████████▉| 69456/70000 [24:36:11<11:29, 1.27s/step] Training: 99%|█████████▉| 69457/70000 [24:36:12<11:37, 1.28s/step] Training: 99%|█████████▉| 69458/70000 [24:36:13<11:19, 1.25s/step] Training: 99%|█████████▉| 69459/70000 [24:36:14<11:07, 1.23s/step] Training: 99%|█████████▉| 69460/70000 [24:36:16<10:59, 1.22s/step] Training: 99%|█████████▉| 69461/70000 [24:36:17<11:15, 1.25s/step] Training: 99%|█████████▉| 69462/70000 [24:36:18<11:06, 1.24s/step] Training: 99%|█████████▉| 69463/70000 [24:36:19<11:18, 1.26s/step] Training: 99%|█████████▉| 69464/70000 [24:36:21<11:29, 1.29s/step] Training: 99%|█████████▉| 69465/70000 [24:36:22<11:39, 1.31s/step] Training: 99%|█████████▉| 69466/70000 [24:36:23<11:17, 1.27s/step] Training: 99%|█████████▉| 69467/70000 [24:36:25<11:02, 1.24s/step] Training: 99%|█████████▉| 69468/70000 [24:36:26<10:53, 1.23s/step] Training: 99%|█████████▉| 69469/70000 [24:36:27<10:46, 1.22s/step] Training: 99%|█████████▉| 69470/70000 [24:36:28<11:03, 1.25s/step] Training: 99%|█████████▉| 69471/70000 [24:36:30<11:16, 1.28s/step] Training: 99%|█████████▉| 69472/70000 [24:36:31<11:24, 1.30s/step] Training: 99%|█████████▉| 69473/70000 [24:36:32<11:33, 1.32s/step] Training: 99%|█████████▉| 69474/70000 [24:36:33<11:10, 1.28s/step] Training: 99%|█████████▉| 69475/70000 [24:36:35<10:56, 1.25s/step] Training: 99%|█████████▉| 69476/70000 [24:36:36<10:46, 1.23s/step] Training: 99%|█████████▉| 69477/70000 [24:36:37<11:07, 1.28s/step] Training: 99%|█████████▉| 69478/70000 [24:36:39<11:18, 1.30s/step] Training: 99%|█████████▉| 69479/70000 [24:36:40<11:03, 1.27s/step] Training: 99%|█████████▉| 69480/70000 [24:36:41<10:56, 1.26s/step] Training: 99%|█████████▉| 69481/70000 [24:36:42<11:05, 1.28s/step] Training: 99%|█████████▉| 69482/70000 [24:36:44<11:12, 1.30s/step] Training: 99%|█████████▉| 69483/70000 [24:36:45<10:53, 1.26s/step] Training: 99%|█████████▉| 69484/70000 [24:36:46<10:40, 1.24s/step] Training: 99%|█████████▉| 69485/70000 [24:36:47<10:52, 1.27s/step] Training: 99%|█████████▉| 69486/70000 [24:36:49<10:47, 1.26s/step] Training: 99%|█████████▉| 69487/70000 [24:36:50<10:56, 1.28s/step] Training: 99%|█████████▉| 69488/70000 [24:36:51<10:46, 1.26s/step] Training: 99%|█████████▉| 69489/70000 [24:36:52<10:37, 1.25s/step] Training: 99%|█████████▉| 69490/70000 [24:36:54<10:53, 1.28s/step] Training: 99%|█████████▉| 69491/70000 [24:36:55<10:36, 1.25s/step] Training: 99%|█████████▉| 69492/70000 [24:36:56<10:25, 1.23s/step] Training: 99%|█████████▉| 69493/70000 [24:36:57<10:38, 1.26s/step] Training: 99%|█████████▉| 69494/70000 [24:36:59<10:30, 1.25s/step] Training: 99%|█████████▉| 69495/70000 [24:37:00<10:42, 1.27s/step] Training: 99%|█████████▉| 69496/70000 [24:37:01<10:51, 1.29s/step] Training: 99%|█████████▉| 69497/70000 [24:37:03<10:56, 1.30s/step] Training: 99%|█████████▉| 69498/70000 [24:37:04<10:59, 1.31s/step] Training: 99%|█████████▉| 69499/70000 [24:37:05<10:38, 1.27s/step] Training: 99%|█████████▉| 69500/70000 [24:37:06<10:23, 1.25s/step]INFO 2026-03-13 20:46:58 ot_train.py:435 step:70K smpl:4M ep:15K epch:58.91 loss:0.007 grdn:0.706 lr:1.0e-06 updt_s:1.247 data_s:0.019 Training: 99%|█████████▉| 69501/70000 [24:37:08<10:33, 1.27s/step] Training: 99%|█████████▉| 69502/70000 [24:37:09<10:43, 1.29s/step] Training: 99%|█████████▉| 69503/70000 [24:37:10<10:46, 1.30s/step] Training: 99%|█████████▉| 69504/70000 [24:37:12<10:51, 1.31s/step] Training: 99%|█████████▉| 69505/70000 [24:37:13<10:52, 1.32s/step] Training: 99%|█████████▉| 69506/70000 [24:37:14<10:57, 1.33s/step] Training: 99%|█████████▉| 69507/70000 [24:37:16<10:34, 1.29s/step] Training: 99%|█████████▉| 69508/70000 [24:37:17<10:18, 1.26s/step] Training: 99%|█████████▉| 69509/70000 [24:37:18<10:33, 1.29s/step] Training: 99%|█████████▉| 69510/70000 [24:37:19<10:39, 1.31s/step] Training: 99%|█████████▉| 69511/70000 [24:37:21<10:28, 1.28s/step] Training: 99%|█████████▉| 69512/70000 [24:37:22<10:19, 1.27s/step] Training: 99%|█████████▉| 69513/70000 [24:37:23<10:13, 1.26s/step] Training: 99%|█████████▉| 69514/70000 [24:37:24<10:08, 1.25s/step] Training: 99%|█████████▉| 69515/70000 [24:37:26<09:56, 1.23s/step] Training: 99%|█████████▉| 69516/70000 [24:37:27<09:48, 1.22s/step] Training: 99%|█████████▉| 69517/70000 [24:37:28<10:04, 1.25s/step] Training: 99%|█████████▉| 69518/70000 [24:37:29<09:59, 1.24s/step] Training: 99%|█████████▉| 69519/70000 [24:37:31<10:12, 1.27s/step] Training: 99%|█████████▉| 69520/70000 [24:37:32<10:03, 1.26s/step] Training: 99%|█████████▉| 69521/70000 [24:37:33<09:57, 1.25s/step] Training: 99%|█████████▉| 69522/70000 [24:37:34<09:48, 1.23s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=25666 Training: 99%|█████████▉| 69523/70000 [24:37:36<10:03, 1.27s/step] Training: 99%|█████████▉| 69524/70000 [24:37:37<09:50, 1.24s/step] Training: 99%|█████████▉| 69525/70000 [24:37:38<10:03, 1.27s/step] Training: 99%|█████████▉| 69526/70000 [24:37:39<09:54, 1.26s/step] Training: 99%|█████████▉| 69527/70000 [24:37:41<10:03, 1.28s/step] Training: 99%|█████████▉| 69528/70000 [24:37:42<10:09, 1.29s/step] Training: 99%|█████████▉| 69529/70000 [24:37:43<10:13, 1.30s/step] Training: 99%|█████████▉| 69530/70000 [24:37:45<09:56, 1.27s/step] Training: 99%|█████████▉| 69531/70000 [24:37:46<09:58, 1.28s/step] Training: 99%|█████████▉| 69532/70000 [24:37:47<09:44, 1.25s/step] Training: 99%|█████████▉| 69533/70000 [24:37:48<09:53, 1.27s/step] Training: 99%|█████████▉| 69534/70000 [24:37:50<10:01, 1.29s/step] Training: 99%|█████████▉| 69535/70000 [24:37:51<10:06, 1.30s/step] Training: 99%|█████████▉| 69536/70000 [24:37:52<10:07, 1.31s/step] Training: 99%|█████████▉| 69537/70000 [24:37:54<10:10, 1.32s/step] Training: 99%|█████████▉| 69538/70000 [24:37:55<09:52, 1.28s/step] Training: 99%|█████████▉| 69539/70000 [24:37:56<09:46, 1.27s/step] Training: 99%|█████████▉| 69540/70000 [24:37:57<09:33, 1.25s/step] Training: 99%|█████████▉| 69541/70000 [24:37:59<09:49, 1.28s/step] Training: 99%|█████████▉| 69542/70000 [24:38:00<09:54, 1.30s/step] Training: 99%|█████████▉| 69543/70000 [24:38:01<09:41, 1.27s/step] Training: 99%|█████████▉| 69544/70000 [24:38:02<09:34, 1.26s/step] Training: 99%|█████████▉| 69545/70000 [24:38:04<09:29, 1.25s/step] Training: 99%|█████████▉| 69546/70000 [24:38:05<09:20, 1.23s/step] Training: 99%|█████████▉| 69547/70000 [24:38:06<09:12, 1.22s/step] Training: 99%|█████████▉| 69548/70000 [24:38:07<09:27, 1.26s/step] Training: 99%|█████████▉| 69549/70000 [24:38:09<09:35, 1.28s/step] Training: 99%|█████████▉| 69550/70000 [24:38:10<09:41, 1.29s/step] Training: 99%|█████████▉| 69551/70000 [24:38:11<09:45, 1.30s/step] Training: 99%|█████████▉| 69552/70000 [24:38:13<09:32, 1.28s/step] Training: 99%|█████████▉| 69553/70000 [24:38:14<09:23, 1.26s/step] Training: 99%|█████████▉| 69554/70000 [24:38:15<09:12, 1.24s/step] Training: 99%|█████████▉| 69555/70000 [24:38:16<09:04, 1.22s/step] Training: 99%|█████████▉| 69556/70000 [24:38:18<09:14, 1.25s/step] Training: 99%|█████████▉| 69557/70000 [24:38:19<09:22, 1.27s/step] Training: 99%|█████████▉| 69558/70000 [24:38:20<09:14, 1.25s/step] Training: 99%|█████████▉| 69559/70000 [24:38:21<09:23, 1.28s/step] Training: 99%|█████████▉| 69560/70000 [24:38:23<09:31, 1.30s/step] Training: 99%|█████████▉| 69561/70000 [24:38:24<09:34, 1.31s/step] Training: 99%|█████████▉| 69562/70000 [24:38:25<09:17, 1.27s/step] Training: 99%|█████████▉| 69563/70000 [24:38:26<09:05, 1.25s/step] Training: 99%|█████████▉| 69564/70000 [24:38:28<09:18, 1.28s/step] Training: 99%|█████████▉| 69565/70000 [24:38:29<09:22, 1.29s/step] Training: 99%|█████████▉| 69566/70000 [24:38:30<09:26, 1.31s/step] Training: 99%|█████████▉| 69567/70000 [24:38:32<09:28, 1.31s/step] Training: 99%|█████████▉| 69568/70000 [24:38:33<09:31, 1.32s/step] Training: 99%|█████████▉| 69569/70000 [24:38:34<09:30, 1.32s/step] Training: 99%|█████████▉| 69570/70000 [24:38:36<09:11, 1.28s/step] Training: 99%|█████████▉| 69571/70000 [24:38:37<08:58, 1.26s/step] Training: 99%|█████████▉| 69572/70000 [24:38:38<08:48, 1.24s/step] Training: 99%|█████████▉| 69573/70000 [24:38:39<09:11, 1.29s/step] Training: 99%|█████████▉| 69574/70000 [24:38:41<09:14, 1.30s/step] Training: 99%|█████████▉| 69575/70000 [24:38:42<09:01, 1.27s/step] Training: 99%|█████████▉| 69576/70000 [24:38:43<09:23, 1.33s/step] Training: 99%|█████████▉| 69577/70000 [24:38:45<09:10, 1.30s/step] Training: 99%|█████████▉| 69578/70000 [24:38:46<08:55, 1.27s/step] Training: 99%|█████████▉| 69579/70000 [24:38:47<08:43, 1.24s/step] Training: 99%|█████████▉| 69580/70000 [24:38:48<08:36, 1.23s/step] Training: 99%|█████████▉| 69581/70000 [24:38:50<08:57, 1.28s/step] Training: 99%|█████████▉| 69582/70000 [24:38:51<09:00, 1.29s/step] Training: 99%|█████████▉| 69583/70000 [24:38:52<09:07, 1.31s/step] Training: 99%|█████████▉| 69584/70000 [24:38:54<08:54, 1.29s/step] Training: 99%|█████████▉| 69585/70000 [24:38:55<08:45, 1.27s/step] Training: 99%|█████████▉| 69586/70000 [24:38:56<08:34, 1.24s/step] Training: 99%|█████████▉| 69587/70000 [24:38:57<08:26, 1.23s/step] Training: 99%|█████████▉| 69588/70000 [24:38:58<08:20, 1.21s/step] Training: 99%|█████████▉| 69589/70000 [24:39:00<08:33, 1.25s/step] Training: 99%|█████████▉| 69590/70000 [24:39:01<08:29, 1.24s/step] Training: 99%|█████████▉| 69591/70000 [24:39:02<08:38, 1.27s/step] Training: 99%|█████████▉| 69592/70000 [24:39:04<08:45, 1.29s/step] Training: 99%|█████████▉| 69593/70000 [24:39:05<08:32, 1.26s/step] Training: 99%|█████████▉| 69594/70000 [24:39:06<08:37, 1.28s/step] Training: 99%|█████████▉| 69595/70000 [24:39:07<08:27, 1.25s/step] Training: 99%|█████████▉| 69596/70000 [24:39:08<08:18, 1.23s/step] Training: 99%|█████████▉| 69597/70000 [24:39:10<08:33, 1.27s/step] Training: 99%|█████████▉| 69598/70000 [24:39:11<08:40, 1.29s/step] Training: 99%|█████████▉| 69599/70000 [24:39:13<08:43, 1.30s/step] Training: 99%|█████████▉| 69600/70000 [24:39:14<08:45, 1.31s/step]INFO 2026-03-13 20:49:06 ot_train.py:435 step:70K smpl:4M ep:15K epch:58.99 loss:0.007 grdn:0.958 lr:1.0e-06 updt_s:1.254 data_s:0.019 Training: 99%|█████████▉| 69601/70000 [24:39:15<08:29, 1.28s/step] Training: 99%|█████████▉| 69602/70000 [24:39:16<08:18, 1.25s/step] Training: 99%|█████████▉| 69603/70000 [24:39:17<08:09, 1.23s/step] Training: 99%|█████████▉| 69604/70000 [24:39:19<08:03, 1.22s/step] Training: 99%|█████████▉| 69605/70000 [24:39:20<08:17, 1.26s/step] Training: 99%|█████████▉| 69606/70000 [24:39:21<08:23, 1.28s/step] Training: 99%|█████████▉| 69607/70000 [24:39:23<08:16, 1.26s/step] Training: 99%|█████████▉| 69608/70000 [24:39:24<08:12, 1.26s/step] Training: 99%|█████████▉| 69609/70000 [24:39:25<08:07, 1.25s/step] Training: 99%|█████████▉| 69610/70000 [24:39:26<07:59, 1.23s/step] Training: 99%|█████████▉| 69611/70000 [24:39:27<07:53, 1.22s/step] Training: 99%|█████████▉| 69612/70000 [24:39:29<07:48, 1.21s/step] Training: 99%|█████████▉| 69613/70000 [24:39:30<08:01, 1.24s/step] Training: 99%|█████████▉| 69614/70000 [24:39:31<08:21, 1.30s/step] Training: 99%|█████████▉| 69615/70000 [24:39:33<08:23, 1.31s/step] Training: 99%|█████████▉| 69616/70000 [24:39:34<08:12, 1.28s/step] Training: 99%|█████████▉| 69617/70000 [24:39:35<08:04, 1.26s/step] Training: 99%|█████████▉| 69618/70000 [24:39:36<07:54, 1.24s/step] Training: 99%|█████████▉| 69619/70000 [24:39:37<07:47, 1.23s/step] Training: 99%|█████████▉| 69620/70000 [24:39:40<10:04, 1.59s/step]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Training: 99%|█████████▉| 69621/70000 [24:39:44<15:24, 2.44s/step] Training: 99%|█████████▉| 69622/70000 [24:39:46<13:15, 2.10s/step] Training: 99%|█████████▉| 69623/70000 [24:39:47<11:40, 1.86s/step] Training: 99%|█████████▉| 69624/70000 [24:39:48<10:46, 1.72s/step] Training: 99%|█████████▉| 69625/70000 [24:39:50<10:08, 1.62s/step] Training: 99%|█████████▉| 69626/70000 [24:39:51<09:18, 1.49s/step] Training: 99%|█████████▉| 69627/70000 [24:39:52<08:42, 1.40s/step] Training: 99%|█████████▉| 69628/70000 [24:39:53<08:17, 1.34s/step] Training: 99%|█████████▉| 69629/70000 [24:39:55<08:02, 1.30s/step] Training: 99%|█████████▉| 69630/70000 [24:39:56<08:04, 1.31s/step] Training: 99%|█████████▉| 69631/70000 [24:39:57<08:06, 1.32s/step] Training: 99%|█████████▉| 69632/70000 [24:39:58<08:06, 1.32s/step] Training: 99%|█████████▉| 69633/70000 [24:40:00<08:06, 1.33s/step] Training: 99%|█████████▉| 69634/70000 [24:40:01<07:49, 1.28s/step] Training: 99%|█████████▉| 69635/70000 [24:40:02<07:38, 1.26s/step] Training: 99%|█████████▉| 69636/70000 [24:40:03<07:30, 1.24s/step] Training: 99%|█████████▉| 69637/70000 [24:40:05<07:42, 1.27s/step] Training: 99%|█████████▉| 69638/70000 [24:40:06<07:50, 1.30s/step] Training: 99%|█████████▉| 69639/70000 [24:40:07<07:35, 1.26s/step] Training: 99%|█████████▉| 69640/70000 [24:40:09<07:57, 1.33s/step] Training: 99%|█████████▉| 69641/70000 [24:40:10<07:57, 1.33s/step] Training: 99%|█████████▉| 69642/70000 [24:40:11<07:41, 1.29s/step] Training: 99%|█████████▉| 69643/70000 [24:40:13<07:32, 1.27s/step] Training: 99%|█████████▉| 69644/70000 [24:40:14<07:22, 1.24s/step] Training: 99%|█████████▉| 69645/70000 [24:40:15<07:31, 1.27s/step] Training: 99%|█████████▉| 69646/70000 [24:40:16<07:36, 1.29s/step] Training: 99%|█████████▉| 69647/70000 [24:40:18<07:53, 1.34s/step] Training: 99%|█████████▉| 69648/70000 [24:40:19<07:39, 1.30s/step] Training: 99%|█████████▉| 69649/70000 [24:40:20<07:28, 1.28s/step] Training: 100%|█████████▉| 69650/70000 [24:40:21<07:19, 1.25s/step] Training: 100%|█████████▉| 69651/70000 [24:40:23<07:11, 1.24s/step] Training: 100%|█████████▉| 69652/70000 [24:40:24<07:05, 1.22s/step] Training: 100%|█████████▉| 69653/70000 [24:40:25<07:15, 1.26s/step] Training: 100%|█████████▉| 69654/70000 [24:40:26<07:08, 1.24s/step] Training: 100%|█████████▉| 69655/70000 [24:40:28<07:18, 1.27s/step] Training: 100%|█████████▉| 69656/70000 [24:40:29<07:22, 1.29s/step] Training: 100%|█████████▉| 69657/70000 [24:40:30<07:25, 1.30s/step] Training: 100%|█████████▉| 69658/70000 [24:40:32<07:13, 1.27s/step] Training: 100%|█████████▉| 69659/70000 [24:40:33<07:03, 1.24s/step] Training: 100%|█████████▉| 69660/70000 [24:40:34<06:57, 1.23s/step] Training: 100%|█████████▉| 69661/70000 [24:40:35<07:06, 1.26s/step] Training: 100%|█████████▉| 69662/70000 [24:40:37<07:12, 1.28s/step] Training: 100%|█████████▉| 69663/70000 [24:40:38<07:06, 1.26s/step] Training: 100%|█████████▉| 69664/70000 [24:40:39<07:11, 1.28s/step] Training: 100%|█████████▉| 69665/70000 [24:40:41<07:14, 1.30s/step] Training: 100%|█████████▉| 69666/70000 [24:40:42<07:03, 1.27s/step] Training: 100%|█████████▉| 69667/70000 [24:40:43<06:53, 1.24s/step] Training: 100%|█████████▉| 69668/70000 [24:40:44<06:47, 1.23s/step] Training: 100%|█████████▉| 69669/70000 [24:40:45<06:57, 1.26s/step] Training: 100%|█████████▉| 69670/70000 [24:40:47<07:03, 1.28s/step] Training: 100%|█████████▉| 69671/70000 [24:40:48<06:57, 1.27s/step] Training: 100%|█████████▉| 69672/70000 [24:40:49<07:15, 1.33s/step] Training: 100%|█████████▉| 69673/70000 [24:40:51<07:14, 1.33s/step] Training: 100%|█████████▉| 69674/70000 [24:40:52<06:59, 1.29s/step] Training: 100%|█████████▉| 69675/70000 [24:40:53<06:48, 1.26s/step] Training: 100%|█████████▉| 69676/70000 [24:40:54<06:40, 1.24s/step] Training: 100%|█████████▉| 69677/70000 [24:40:56<06:47, 1.26s/step] Training: 100%|█████████▉| 69678/70000 [24:40:57<06:51, 1.28s/step] Training: 100%|█████████▉| 69679/70000 [24:40:58<06:54, 1.29s/step] Training: 100%|█████████▉| 69680/70000 [24:41:00<06:47, 1.27s/step] Training: 100%|█████████▉| 69681/70000 [24:41:01<06:39, 1.25s/step] Training: 100%|█████████▉| 69682/70000 [24:41:02<06:32, 1.23s/step] Training: 100%|█████████▉| 69683/70000 [24:41:03<06:27, 1.22s/step] Training: 100%|█████████▉| 69684/70000 [24:41:04<06:23, 1.21s/step] Training: 100%|█████████▉| 69685/70000 [24:41:06<06:32, 1.25s/step] Training: 100%|█████████▉| 69686/70000 [24:41:07<06:27, 1.23s/step] Training: 100%|█████████▉| 69687/70000 [24:41:08<06:35, 1.26s/step] Training: 100%|█████████▉| 69688/70000 [24:41:10<06:51, 1.32s/step] Training: 100%|█████████▉| 69689/70000 [24:41:11<06:51, 1.32s/step] Training: 100%|█████████▉| 69690/70000 [24:41:12<06:37, 1.28s/step] Training: 100%|█████████▉| 69691/70000 [24:41:13<06:27, 1.25s/step] Training: 100%|█████████▉| 69692/70000 [24:41:15<06:20, 1.23s/step] Training: 100%|█████████▉| 69693/70000 [24:41:16<06:28, 1.26s/step] Training: 100%|█████████▉| 69694/70000 [24:41:17<06:33, 1.28s/step] Training: 100%|█████████▉| 69695/70000 [24:41:18<06:26, 1.27s/step] Training: 100%|█████████▉| 69696/70000 [24:41:20<06:39, 1.31s/step] Training: 100%|█████████▉| 69697/70000 [24:41:21<06:39, 1.32s/step] Training: 100%|█████████▉| 69698/70000 [24:41:22<06:26, 1.28s/step] Training: 100%|█████████▉| 69699/70000 [24:41:24<06:17, 1.25s/step] Training: 100%|█████████▉| 69700/70000 [24:41:25<06:10, 1.23s/step]INFO 2026-03-13 20:51:17 ot_train.py:435 step:70K smpl:4M ep:15K epch:59.08 loss:0.007 grdn:0.675 lr:1.0e-06 updt_s:1.245 data_s:0.061 Training: 100%|█████████▉| 69701/70000 [24:41:26<06:18, 1.27s/step] Training: 100%|█████████▉| 69702/70000 [24:41:27<06:23, 1.29s/step] Training: 100%|█████████▉| 69703/70000 [24:41:29<06:13, 1.26s/step] Training: 100%|█████████▉| 69704/70000 [24:41:30<06:29, 1.31s/step] Training: 100%|█████████▉| 69705/70000 [24:41:31<06:27, 1.31s/step] Training: 100%|█████████▉| 69706/70000 [24:41:33<06:15, 1.28s/step] Training: 100%|█████████▉| 69707/70000 [24:41:34<06:06, 1.25s/step] Training: 100%|█████████▉| 69708/70000 [24:41:35<06:00, 1.23s/step] Training: 100%|█████████▉| 69709/70000 [24:41:36<06:06, 1.26s/step] Training: 100%|█████████▉| 69710/70000 [24:41:38<06:11, 1.28s/step] Training: 100%|█████████▉| 69711/70000 [24:41:39<06:13, 1.29s/step] Training: 100%|█████████▉| 69712/70000 [24:41:40<06:18, 1.31s/step] Training: 100%|█████████▉| 69713/70000 [24:41:41<06:07, 1.28s/step] Training: 100%|█████████▉| 69714/70000 [24:41:43<05:58, 1.25s/step] Training: 100%|█████████▉| 69715/70000 [24:41:44<05:51, 1.23s/step] Training: 100%|█████████▉| 69716/70000 [24:41:45<05:46, 1.22s/step] Training: 100%|█████████▉| 69717/70000 [24:41:46<05:45, 1.22s/step] Training: 100%|█████████▉| 69718/70000 [24:41:48<05:53, 1.25s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.]) > tolerance_s=2.0)., retrying with idx=62092 Training: 100%|█████████▉| 69719/70000 [24:41:49<05:58, 1.27s/step] Training: 100%|█████████▉| 69720/70000 [24:41:50<06:02, 1.29s/step] Training: 100%|█████████▉| 69721/70000 [24:41:52<06:13, 1.34s/step] Training: 100%|█████████▉| 69722/70000 [24:41:53<05:59, 1.29s/step] Training: 100%|█████████▉| 69723/70000 [24:41:54<05:49, 1.26s/step] Training: 100%|█████████▉| 69724/70000 [24:41:55<05:42, 1.24s/step] Training: 100%|█████████▉| 69725/70000 [24:41:57<05:48, 1.27s/step] Training: 100%|█████████▉| 69726/70000 [24:41:58<05:53, 1.29s/step] Training: 100%|█████████▉| 69727/70000 [24:41:59<05:55, 1.30s/step] Training: 100%|█████████▉| 69728/70000 [24:42:01<05:56, 1.31s/step] Training: 100%|█████████▉| 69729/70000 [24:42:02<06:04, 1.34s/step] Training: 100%|█████████▉| 69730/70000 [24:42:03<05:50, 1.30s/step] Training: 100%|█████████▉| 69731/70000 [24:42:04<05:39, 1.26s/step] Training: 100%|█████████▉| 69732/70000 [24:42:06<05:32, 1.24s/step] Training: 100%|█████████▉| 69733/70000 [24:42:07<05:40, 1.27s/step] Training: 100%|█████████▉| 69734/70000 [24:42:08<05:43, 1.29s/step] Training: 100%|█████████▉| 69735/70000 [24:42:09<05:36, 1.27s/step] Training: 100%|█████████▉| 69736/70000 [24:42:11<05:42, 1.30s/step] Training: 100%|█████████▉| 69737/70000 [24:42:12<05:52, 1.34s/step] Training: 100%|█████████▉| 69738/70000 [24:42:13<05:39, 1.30s/step] Training: 100%|█████████▉| 69739/70000 [24:42:15<05:30, 1.27s/step] Training: 100%|█████████▉| 69740/70000 [24:42:16<05:22, 1.24s/step] Training: 100%|█████████▉| 69741/70000 [24:42:17<05:28, 1.27s/step] Training: 100%|█████████▉| 69742/70000 [24:42:19<05:31, 1.28s/step] Training: 100%|█████████▉| 69743/70000 [24:42:20<05:34, 1.30s/step] Training: 100%|█████████▉| 69744/70000 [24:42:21<05:27, 1.28s/step] Training: 100%|█████████▉| 69745/70000 [24:42:22<05:33, 1.31s/step] Training: 100%|█████████▉| 69746/70000 [24:42:24<05:22, 1.27s/step] Training: 100%|█████████▉| 69747/70000 [24:42:25<05:15, 1.25s/step] Training: 100%|█████████▉| 69748/70000 [24:42:26<05:09, 1.23s/step] Training: 100%|█████████▉| 69749/70000 [24:42:27<05:08, 1.23s/step] Training: 100%|█████████▉| 69750/70000 [24:42:29<05:14, 1.26s/step] Training: 100%|█████████▉| 69751/70000 [24:42:30<05:20, 1.29s/step] Training: 100%|█████████▉| 69752/70000 [24:42:31<05:22, 1.30s/step] Training: 100%|█████████▉| 69753/70000 [24:42:33<05:23, 1.31s/step] Training: 100%|█████████▉| 69754/70000 [24:42:34<05:14, 1.28s/step] Training: 100%|█████████▉| 69755/70000 [24:42:35<05:06, 1.25s/step] Training: 100%|█████████▉| 69756/70000 [24:42:36<05:00, 1.23s/step] Training: 100%|█████████▉| 69757/70000 [24:42:37<04:57, 1.23s/step] Training: 100%|█████████▉| 69758/70000 [24:42:39<05:04, 1.26s/step] Training: 100%|█████████▉| 69759/70000 [24:42:40<05:07, 1.28s/step] Training: 100%|█████████▉| 69760/70000 [24:42:41<05:10, 1.30s/step] Training: 100%|█████████▉| 69761/70000 [24:42:43<05:12, 1.31s/step] Training: 100%|█████████▉| 69762/70000 [24:42:44<05:15, 1.33s/step] Training: 100%|█████████▉| 69763/70000 [24:42:45<05:04, 1.28s/step] Training: 100%|█████████▉| 69764/70000 [24:42:46<04:56, 1.25s/step] Training: 100%|█████████▉| 69765/70000 [24:42:48<05:03, 1.29s/step] Training: 100%|█████████▉| 69766/70000 [24:42:49<05:03, 1.30s/step] Training: 100%|█████████▉| 69767/70000 [24:42:50<04:56, 1.27s/step] Training: 100%|█████████▉| 69768/70000 [24:42:52<04:59, 1.29s/step] Training: 100%|█████████▉| 69769/70000 [24:42:53<05:01, 1.30s/step] Training: 100%|█████████▉| 69770/70000 [24:42:54<05:00, 1.31s/step] Training: 100%|█████████▉| 69771/70000 [24:42:56<04:50, 1.27s/step] Training: 100%|█████████▉| 69772/70000 [24:42:57<04:43, 1.24s/step] Training: 100%|█████████▉| 69773/70000 [24:42:58<04:47, 1.27s/step] Training: 100%|█████████▉| 69774/70000 [24:42:59<04:50, 1.29s/step] Training: 100%|█████████▉| 69775/70000 [24:43:01<04:52, 1.30s/step] Training: 100%|█████████▉| 69776/70000 [24:43:02<04:47, 1.28s/step] Training: 100%|█████████▉| 69777/70000 [24:43:03<04:41, 1.26s/step] Training: 100%|█████████▉| 69778/70000 [24:43:05<04:46, 1.29s/step] Training: 100%|█████████▉| 69779/70000 [24:43:06<04:38, 1.26s/step] Training: 100%|█████████▉| 69780/70000 [24:43:07<04:32, 1.24s/step] Training: 100%|█████████▉| 69781/70000 [24:43:08<04:39, 1.28s/step] Training: 100%|█████████▉| 69782/70000 [24:43:09<04:34, 1.26s/step] Training: 100%|█████████▉| 69783/70000 [24:43:11<04:37, 1.28s/step] Training: 100%|█████████▉| 69784/70000 [24:43:12<04:40, 1.30s/step] Training: 100%|█████████▉| 69785/70000 [24:43:13<04:41, 1.31s/step] Training: 100%|█████████▉| 69786/70000 [24:43:15<04:32, 1.27s/step] Training: 100%|█████████▉| 69787/70000 [24:43:16<04:36, 1.30s/step] Training: 100%|█████████▉| 69788/70000 [24:43:17<04:27, 1.26s/step] Training: 100%|█████████▉| 69789/70000 [24:43:19<04:30, 1.28s/step] Training: 100%|█████████▉| 69790/70000 [24:43:20<04:32, 1.30s/step][Avatar] Corrupt/hung frame: FrameTimestampError: One or several query timestamps unexpectedly violate the tolerance (tensor([2.0667]) > tolerance_s=2, retrying with idx=59855 Training: 100%|█████████▉| 69791/70000 [24:43:21<04:33, 1.31s/step] Training: 100%|█████████▉| 69792/70000 [24:43:23<04:34, 1.32s/step] Training: 100%|█████████▉| 69793/70000 [24:43:24<04:33, 1.32s/step] Training: 100%|█████████▉| 69794/70000 [24:43:25<04:24, 1.28s/step] Training: 100%|█████████▉| 69795/70000 [24:43:26<04:26, 1.30s/step] Training: 100%|█████████▉| 69796/70000 [24:43:28<04:18, 1.26s/step] Training: 100%|█████████▉| 69797/70000 [24:43:29<04:23, 1.30s/step] Training: 100%|█████████▉| 69798/70000 [24:43:30<04:23, 1.31s/step] Training: 100%|█████████▉| 69799/70000 [24:43:31<04:17, 1.28s/step] Training: 100%|█████████▉| 69800/70000 [24:43:33<04:21, 1.31s/step]INFO 2026-03-13 20:53:25 ot_train.py:435 step:70K smpl:4M ep:15K epch:59.16 loss:0.008 grdn:0.741 lr:1.0e-06 updt_s:1.260 data_s:0.019 Training: 100%|█████████▉| 69801/70000 [24:43:34<04:21, 1.31s/step] Training: 100%|█████████▉| 69802/70000 [24:43:35<04:12, 1.28s/step] Training: 100%|█████████▉| 69803/70000 [24:43:37<04:06, 1.25s/step] Training: 100%|█████████▉| 69804/70000 [24:43:38<04:01, 1.23s/step] Training: 100%|█████████▉| 69805/70000 [24:43:39<04:05, 1.26s/step] Training: 100%|█████████▉| 69806/70000 [24:43:40<04:08, 1.28s/step] Training: 100%|█████████▉| 69807/70000 [24:43:42<04:09, 1.29s/step] Training: 100%|█████████▉| 69808/70000 [24:43:43<04:04, 1.28s/step] Training: 100%|█████████▉| 69809/70000 [24:43:44<04:00, 1.26s/step] Training: 100%|█████████▉| 69810/70000 [24:43:45<03:55, 1.24s/step] Training: 100%|█████████▉| 69811/70000 [24:43:47<03:53, 1.23s/step] Training: 100%|█████████▉| 69812/70000 [24:43:48<03:49, 1.22s/step] Training: 100%|█████████▉| 69813/70000 [24:43:49<03:55, 1.26s/step] Training: 100%|█████████▉| 69814/70000 [24:43:50<03:51, 1.24s/step] Training: 100%|█████████▉| 69815/70000 [24:43:52<03:54, 1.27s/step] Training: 100%|█████████▉| 69816/70000 [24:43:53<03:57, 1.29s/step] Training: 100%|█████████▉| 69817/70000 [24:43:54<03:59, 1.31s/step] Training: 100%|█████████▉| 69818/70000 [24:43:56<03:51, 1.27s/step] Training: 100%|█████████▉| 69819/70000 [24:43:57<03:49, 1.27s/step] Training: 100%|█████████▉| 69820/70000 [24:43:58<03:43, 1.24s/step] Training: 100%|█████████▉| 69821/70000 [24:43:59<03:46, 1.27s/step] Training: 100%|█████████▉| 69822/70000 [24:44:01<03:48, 1.28s/step] Training: 100%|█████████▉| 69823/70000 [24:44:02<03:49, 1.30s/step] Training: 100%|█████████▉| 69824/70000 [24:44:03<03:50, 1.31s/step] Training: 100%|█████████▉| 69825/70000 [24:44:05<03:49, 1.31s/step] Training: 100%|█████████▉| 69826/70000 [24:44:06<03:42, 1.28s/step] Training: 100%|█████████▉| 69827/70000 [24:44:07<03:36, 1.25s/step] Training: 100%|█████████▉| 69828/70000 [24:44:08<03:40, 1.28s/step] Training: 100%|█████████▉| 69829/70000 [24:44:10<03:35, 1.26s/step] Training: 100%|█████████▉| 69830/70000 [24:44:11<03:44, 1.32s/step] Training: 100%|█████████▉| 69831/70000 [24:44:12<03:37, 1.29s/step] Training: 100%|█████████▉| 69832/70000 [24:44:14<03:40, 1.31s/step] Training: 100%|█████████▉| 69833/70000 [24:44:15<03:39, 1.32s/step] Training: 100%|█████████▉| 69834/70000 [24:44:16<03:32, 1.28s/step] Training: 100%|█████████▉| 69835/70000 [24:44:17<03:26, 1.25s/step] Training: 100%|█████████▉| 69836/70000 [24:44:19<03:24, 1.25s/step] Training: 100%|█████████▉| 69837/70000 [24:44:20<03:21, 1.24s/step] Training: 100%|█████████▉| 69838/70000 [24:44:21<03:24, 1.26s/step] Training: 100%|█████████▉| 69839/70000 [24:44:22<03:26, 1.28s/step] Training: 100%|█████████▉| 69840/70000 [24:44:24<03:22, 1.27s/step] Training: 100%|█████████▉| 69841/70000 [24:44:25<03:19, 1.25s/step] Training: 100%|█████████▉| 69842/70000 [24:44:26<03:14, 1.23s/step] Training: 100%|█████████▉| 69843/70000 [24:44:27<03:11, 1.22s/step] Training: 100%|█████████▉| 69844/70000 [24:44:28<03:12, 1.23s/step] Training: 100%|█████████▉| 69845/70000 [24:44:30<03:15, 1.26s/step] Training: 100%|█████████▉| 69846/70000 [24:44:31<03:12, 1.25s/step] Training: 100%|█████████▉| 69847/70000 [24:44:32<03:15, 1.27s/step] Training: 100%|█████████▉| 69848/70000 [24:44:34<03:16, 1.29s/step] Training: 100%|█████████▉| 69849/70000 [24:44:35<03:17, 1.31s/step] Training: 100%|█████████▉| 69850/70000 [24:44:36<03:11, 1.27s/step] Training: 100%|█████████▉| 69851/70000 [24:44:37<03:06, 1.25s/step] Training: 100%|█████████▉| 69852/70000 [24:44:39<03:01, 1.23s/step] Training: 100%|█████████▉| 69853/70000 [24:44:40<03:10, 1.30s/step] Training: 100%|█████████▉| 69854/70000 [24:44:41<03:10, 1.30s/step] Training: 100%|█████████▉| 69855/70000 [24:44:43<03:10, 1.31s/step] Training: 100%|█████████▉| 69856/70000 [24:44:44<03:10, 1.32s/step] Training: 100%|█████████▉| 69857/70000 [24:44:45<03:09, 1.32s/step] Training: 100%|█████████▉| 69858/70000 [24:44:47<03:02, 1.28s/step] Training: 100%|█████████▉| 69859/70000 [24:44:48<02:57, 1.26s/step] Training: 100%|█████████▉| 69860/70000 [24:44:49<02:53, 1.24s/step] Training: 100%|█████████▉| 69861/70000 [24:44:50<02:54, 1.25s/step] Training: 100%|█████████▉| 69862/70000 [24:44:52<02:55, 1.27s/step] Training: 100%|█████████▉| 69863/70000 [24:44:53<02:51, 1.25s/step] Training: 100%|█████████▉| 69864/70000 [24:44:54<02:54, 1.29s/step] Training: 100%|█████████▉| 69865/70000 [24:44:55<02:54, 1.30s/step] Training: 100%|█████████▉| 69866/70000 [24:44:57<02:49, 1.26s/step] Training: 100%|█████████▉| 69867/70000 [24:44:58<02:45, 1.24s/step] Training: 100%|█████████▉| 69868/70000 [24:44:59<02:41, 1.23s/step] Training: 100%|█████████▉| 69869/70000 [24:45:00<02:45, 1.27s/step] Training: 100%|█████████▉| 69870/70000 [24:45:02<02:46, 1.28s/step] Training: 100%|█████████▉| 69871/70000 [24:45:03<02:47, 1.30s/step] Training: 100%|█████████▉| 69872/70000 [24:45:04<02:42, 1.27s/step] Training: 100%|█████████▉| 69873/70000 [24:45:05<02:39, 1.25s/step] Training: 100%|█████████▉| 69874/70000 [24:45:07<02:35, 1.23s/step] Training: 100%|█████████▉| 69875/70000 [24:45:08<02:32, 1.22s/step] Training: 100%|█████████▉| 69876/70000 [24:45:09<02:30, 1.21s/step] Training: 100%|█████████▉| 69877/70000 [24:45:10<02:34, 1.26s/step] Training: 100%|█████████▉| 69878/70000 [24:45:12<02:35, 1.27s/step] Training: 100%|█████████▉| 69879/70000 [24:45:13<02:36, 1.29s/step] Training: 100%|█████████▉| 69880/70000 [24:45:14<02:36, 1.30s/step] Training: 100%|█████████▉| 69881/70000 [24:45:16<02:36, 1.31s/step] Training: 100%|█████████▉| 69882/70000 [24:45:17<02:30, 1.28s/step] Training: 100%|█████████▉| 69883/70000 [24:45:18<02:26, 1.25s/step] Training: 100%|█████████▉| 69884/70000 [24:45:19<02:23, 1.23s/step] Training: 100%|█████████▉| 69885/70000 [24:45:21<02:24, 1.26s/step] Training: 100%|█████████▉| 69886/70000 [24:45:22<02:29, 1.31s/step] Training: 100%|█████████▉| 69887/70000 [24:45:23<02:29, 1.32s/step] Training: 100%|█████████▉| 69888/70000 [24:45:25<02:28, 1.32s/step] Training: 100%|█████████▉| 69889/70000 [24:45:26<02:27, 1.33s/step] Training: 100%|█████████▉| 69890/70000 [24:45:27<02:21, 1.28s/step] Training: 100%|█████████▉| 69891/70000 [24:45:28<02:16, 1.26s/step] Training: 100%|█████████▉| 69892/70000 [24:45:30<02:13, 1.24s/step] Training: 100%|█████████▉| 69893/70000 [24:45:31<02:12, 1.23s/step] Training: 100%|█████████▉| 69894/70000 [24:45:32<02:16, 1.29s/step] Training: 100%|█████████▉| 69895/70000 [24:45:33<02:12, 1.27s/step] Training: 100%|█████████▉| 69896/70000 [24:45:35<02:10, 1.25s/step] Training: 100%|█████████▉| 69897/70000 [24:45:36<02:11, 1.27s/step] Training: 100%|█████████▉| 69898/70000 [24:45:37<02:07, 1.25s/step] Training: 100%|█████████▉| 69899/70000 [24:45:38<02:04, 1.23s/step] Training: 100%|█████████▉| 69900/70000 [24:45:40<02:01, 1.22s/step]INFO 2026-03-13 20:55:32 ot_train.py:435 step:70K smpl:4M ep:15K epch:59.25 loss:0.007 grdn:0.612 lr:1.0e-06 updt_s:1.246 data_s:0.019 Training: 100%|█████████▉| 69901/70000 [24:45:41<02:00, 1.22s/step] Training: 100%|█████████▉| 69902/70000 [24:45:42<02:05, 1.28s/step] Training: 100%|█████████▉| 69903/70000 [24:45:44<02:05, 1.30s/step] Training: 100%|█████████▉| 69904/70000 [24:45:45<02:02, 1.27s/step] Training: 100%|█████████▉| 69905/70000 [24:45:46<01:59, 1.26s/step] Training: 100%|█████████▉| 69906/70000 [24:45:47<01:56, 1.24s/step] Training: 100%|█████████▉| 69907/70000 [24:45:48<01:53, 1.22s/step] Training: 100%|█████████▉| 69908/70000 [24:45:50<01:51, 1.21s/step] Training: 100%|█████████▉| 69909/70000 [24:45:51<01:53, 1.25s/step] Training: 100%|█████████▉| 69910/70000 [24:45:52<01:55, 1.28s/step] Training: 100%|█████████▉| 69911/70000 [24:45:54<01:54, 1.29s/step] Training: 100%|█████████▉| 69912/70000 [24:45:55<01:55, 1.31s/step] Training: 100%|█████████▉| 69913/70000 [24:45:56<01:54, 1.31s/step] Training: 100%|█████████▉| 69914/70000 [24:45:57<01:49, 1.28s/step] Training: 100%|█████████▉| 69915/70000 [24:45:59<01:46, 1.25s/step] Training: 100%|█████████▉| 69916/70000 [24:46:00<01:43, 1.23s/step] Training: 100%|█████████▉| 69917/70000 [24:46:01<01:44, 1.26s/step] Training: 100%|█████████▉| 69918/70000 [24:46:02<01:44, 1.28s/step] Training: 100%|█████████▉| 69919/70000 [24:46:04<01:44, 1.30s/step] Training: 100%|█████████▉| 69920/70000 [24:46:05<01:44, 1.31s/step] Training: 100%|█████████▉| 69921/70000 [24:46:06<01:43, 1.31s/step] Training: 100%|█████████▉| 69922/70000 [24:46:08<01:39, 1.28s/step] Training: 100%|█████████▉| 69923/70000 [24:46:09<01:36, 1.25s/step] Training: 100%|█████████▉| 69924/70000 [24:46:10<01:33, 1.23s/step] Training: 100%|█████████▉| 69925/70000 [24:46:11<01:32, 1.23s/step] Training: 100%|█████████▉| 69926/70000 [24:46:13<01:33, 1.26s/step] Training: 100%|█████████▉| 69927/70000 [24:46:14<01:33, 1.29s/step] Training: 100%|█████████▉| 69928/70000 [24:46:15<01:31, 1.27s/step] Training: 100%|█████████▉| 69929/70000 [24:46:17<01:31, 1.29s/step] Training: 100%|█████████▉| 69930/70000 [24:46:18<01:28, 1.26s/step] Training: 100%|█████████▉| 69931/70000 [24:46:19<01:25, 1.24s/step] Training: 100%|█████████▉| 69932/70000 [24:46:20<01:23, 1.23s/step] Training: 100%|█████████▉| 69933/70000 [24:46:21<01:22, 1.22s/step] Training: 100%|█████████▉| 69934/70000 [24:46:23<01:23, 1.26s/step] Training: 100%|█████████▉| 69935/70000 [24:46:24<01:25, 1.32s/step] Training: 100%|█████████▉| 69936/70000 [24:46:25<01:22, 1.29s/step] Training: 100%|█████████▉| 69937/70000 [24:46:27<01:19, 1.26s/step] Training: 100%|█████████▉| 69938/70000 [24:46:28<01:17, 1.24s/step] Training: 100%|█████████▉| 69939/70000 [24:46:29<01:14, 1.23s/step] Training: 100%|█████████▉| 69940/70000 [24:46:30<01:12, 1.21s/step] Training: 100%|█████████▉| 69941/70000 [24:46:31<01:13, 1.25s/step] Training: 100%|█████████▉| 69942/70000 [24:46:33<01:12, 1.24s/step] Training: 100%|█████████▉| 69943/70000 [24:46:34<01:12, 1.28s/step] Training: 100%|█████████▉| 69944/70000 [24:46:35<01:13, 1.32s/step] Training: 100%|█████████▉| 69945/70000 [24:46:37<01:12, 1.32s/step] Training: 100%|█████████▉| 69946/70000 [24:46:38<01:09, 1.28s/step] Training: 100%|█████████▉| 69947/70000 [24:46:39<01:06, 1.25s/step] Training: 100%|█████████▉| 69948/70000 [24:46:40<01:04, 1.23s/step] Training: 100%|█████████▉| 69949/70000 [24:46:42<01:04, 1.26s/step] Training: 100%|█████████▉| 69950/70000 [24:46:43<01:03, 1.28s/step] Training: 100%|█████████▉| 69951/70000 [24:46:44<01:01, 1.25s/step] Training: 100%|█████████▉| 69952/70000 [24:46:46<01:02, 1.31s/step] Training: 100%|█████████▉| 69953/70000 [24:46:47<01:01, 1.31s/step] Training: 100%|█████████▉| 69954/70000 [24:46:48<00:58, 1.28s/step] Training: 100%|█████████▉| 69955/70000 [24:46:49<00:56, 1.25s/step] Training: 100%|█████████▉| 69956/70000 [24:46:51<00:54, 1.23s/step] Training: 100%|█████████▉| 69957/70000 [24:46:52<00:52, 1.23s/step] Training: 100%|█████████▉| 69958/70000 [24:46:53<00:52, 1.26s/step] Training: 100%|█████████▉| 69959/70000 [24:46:54<00:50, 1.24s/step] Training: 100%|█████████▉| 69960/70000 [24:46:56<00:50, 1.27s/step] Training: 100%|█████████▉| 69961/70000 [24:46:57<00:50, 1.28s/step] Training: 100%|█████████▉| 69962/70000 [24:46:58<00:47, 1.26s/step] Training: 100%|█████████▉| 69963/70000 [24:46:59<00:45, 1.24s/step] Training: 100%|█████████▉| 69964/70000 [24:47:00<00:44, 1.22s/step] Training: 100%|█████████▉| 69965/70000 [24:47:02<00:42, 1.22s/step] Training: 100%|█████████▉| 69966/70000 [24:47:03<00:42, 1.25s/step] Training: 100%|█████████▉| 69967/70000 [24:47:04<00:40, 1.23s/step] Training: 100%|█████████▉| 69968/70000 [24:47:05<00:39, 1.23s/step] Training: 100%|█████████▉| 69969/70000 [24:47:07<00:37, 1.23s/step] Training: 100%|█████████▉| 69970/70000 [24:47:08<00:36, 1.22s/step] Training: 100%|█████████▉| 69971/70000 [24:47:09<00:35, 1.21s/step] Training: 100%|█████████▉| 69972/70000 [24:47:10<00:33, 1.20s/step] Training: 100%|█████████▉| 69973/70000 [24:47:12<00:33, 1.24s/step] Training: 100%|█████████▉| 69974/70000 [24:47:13<00:32, 1.24s/step] Training: 100%|█████████▉| 69975/70000 [24:47:14<00:30, 1.22s/step] Training: 100%|█████████▉| 69976/70000 [24:47:15<00:30, 1.27s/step] Training: 100%|█████████▉| 69977/70000 [24:47:17<00:29, 1.29s/step] Training: 100%|█████████▉| 69978/70000 [24:47:18<00:27, 1.26s/step] Training: 100%|█████████▉| 69979/70000 [24:47:19<00:25, 1.24s/step] Training: 100%|█████████▉| 69980/70000 [24:47:20<00:24, 1.22s/step] Training: 100%|█████████▉| 69981/70000 [24:47:22<00:23, 1.25s/step] Training: 100%|█████████▉| 69982/70000 [24:47:23<00:22, 1.28s/step] Training: 100%|█████████▉| 69983/70000 [24:47:24<00:21, 1.25s/step] Training: 100%|█████████▉| 69984/70000 [24:47:25<00:20, 1.28s/step] Training: 100%|█████████▉| 69985/70000 [24:47:27<00:19, 1.29s/step] Training: 100%|█████████▉| 69986/70000 [24:47:28<00:17, 1.26s/step] Training: 100%|█████████▉| 69987/70000 [24:47:29<00:16, 1.24s/step] Training: 100%|█████████▉| 69988/70000 [24:47:30<00:14, 1.23s/step] Training: 100%|█████████▉| 69989/70000 [24:47:32<00:13, 1.23s/step] Training: 100%|█████████▉| 69990/70000 [24:47:33<00:12, 1.26s/step] Training: 100%|█████████▉| 69991/70000 [24:47:34<00:11, 1.24s/step] Training: 100%|█████████▉| 69992/70000 [24:47:35<00:10, 1.28s/step] Training: 100%|█████████▉| 69993/70000 [24:47:37<00:09, 1.32s/step] Training: 100%|█████████▉| 69994/70000 [24:47:38<00:07, 1.28s/step] Training: 100%|█████████▉| 69995/70000 [24:47:39<00:06, 1.25s/step] Training: 100%|█████████▉| 69996/70000 [24:47:40<00:04, 1.23s/step] Training: 100%|█████████▉| 69997/70000 [24:47:42<00:03, 1.22s/step] Training: 100%|█████████▉| 69998/70000 [24:47:43<00:02, 1.26s/step] Training: 100%|█████████▉| 69999/70000 [24:47:44<00:01, 1.24s/step] Training: 100%|██████████| 70000/70000 [24:47:45<00:00, 1.27s/step]INFO 2026-03-13 20:57:38 ot_train.py:435 step:70K smpl:4M ep:15K epch:59.33 loss:0.007 grdn:0.537 lr:1.0e-06 updt_s:1.238 data_s:0.019 INFO 2026-03-13 20:57:38 ot_train.py:455 Checkpoint policy after step 70000 [Avatar] Pushing checkpoint (step 70000) to avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008... Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...12-2008/model.safetensors: 1%| | 33.9MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 33.9MB / 5.85GB  Processing Files (0 / 1) : 1%| | 33.9MB / 5.85GB, ???B/s ...12-2008/model.safetensors: 1%| | 56.8MB / 5.85GB  Processing Files (0 / 1) : 1%| | 56.8MB / 5.85GB, 115MB/s ...12-2008/model.safetensors: 1%| | 56.8MB / 5.85GB  ...12-2008/model.safetensors: 2%|▏ | 146MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 146MB / 5.85GB, 187MB/s New Data Upload : 99%|█████████▉| 66.5MB / 67.0MB, 111MB/s  ...12-2008/model.safetensors: 3%|▎ | 153MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 153MB / 5.85GB, 149MB/s ...12-2008/model.safetensors: 3%|▎ | 153MB / 5.85GB  ...12-2008/model.safetensors: 3%|▎ | 153MB / 5.85GB  ...12-2008/model.safetensors: 3%|▎ | 159MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 159MB / 5.85GB, 89.3MB/s New Data Upload : 50%|████▉ | 67.0MB / 134MB, 47.9MB/s  ...12-2008/model.safetensors: 4%|▍ | 242MB / 5.85GB  Processing Files (0 / 1) : 4%|▍ | 242MB / 5.85GB, 130MB/s New Data Upload : 66%|██████▋ | 134MB / 201MB, 83.5MB/s  ...12-2008/model.safetensors: 4%|▍ | 246MB / 5.85GB  Processing Files (0 / 1) : 4%|▍ | 246MB / 5.85GB, 118MB/s ...12-2008/model.safetensors: 6%|▌ | 336MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 336MB / 5.85GB, 151MB/s New Data Upload : 100%|█████████▉| 201MB / 201MB, 100MB/s  ...12-2008/model.safetensors: 6%|▌ | 345MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 345MB / 5.85GB, 141MB/s ...12-2008/model.safetensors: 7%|▋ | 426MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 426MB / 5.85GB, 163MB/s New Data Upload : 100%|█████████▉| 268MB / 268MB, 112MB/s  ...12-2008/model.safetensors: 7%|▋ | 431MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 431MB / 5.85GB, 153MB/s ...12-2008/model.safetensors: 9%|▊ | 504MB / 5.85GB  Processing Files (0 / 1) : 9%|▊ | 504MB / 5.85GB, 168MB/s New Data Upload : 98%|█████████▊| 329MB / 335MB, 117MB/s  ...12-2008/model.safetensors: 9%|▉ | 513MB / 5.85GB  Processing Files (0 / 1) : 9%|▉ | 513MB / 5.85GB, 160MB/s New Data Upload : 83%|████████▎ | 335MB / 402MB, 112MB/s  ...12-2008/model.safetensors: 10%|█ | 593MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 593MB / 5.85GB, 175MB/s New Data Upload : 100%|█████████▉| 402MB / 402MB, 125MB/s  ...12-2008/model.safetensors: 10%|█ | 599MB / 5.85GB  Processing Files (0 / 1) : 10%|█ | 599MB / 5.85GB, 166MB/s ...12-2008/model.safetensors: 12%|█▏ | 673MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 673MB / 5.85GB, 178MB/s New Data Upload : 98%|█████████▊| 461MB / 469MB, 128MB/s  ...12-2008/model.safetensors: 12%|█▏ | 684MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 684MB / 5.85GB, 171MB/s New Data Upload : 87%|████████▋ | 469MB / 536MB, 123MB/s  ...12-2008/model.safetensors: 13%|█▎ | 765MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 765MB / 5.85GB, 183MB/s New Data Upload : 100%|█████████▉| 535MB / 536MB, 134MB/s  ...12-2008/model.safetensors: 13%|█▎ | 775MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 775MB / 5.85GB, 177MB/s ...12-2008/model.safetensors: 15%|█▍ | 851MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 851MB / 5.85GB, 186MB/s New Data Upload : 100%|█████████▉| 602MB / 603MB, 137MB/s  ...12-2008/model.safetensors: 15%|█▍ | 863MB / 5.85GB  Processing Files (0 / 1) : 15%|█▍ | 863MB / 5.85GB, 180MB/s ...12-2008/model.safetensors: 15%|█▌ | 885MB / 5.85GB  Processing Files (0 / 1) : 15%|█▌ | 885MB / 5.85GB, 177MB/s New Data Upload : 93%|█████████▎| 620MB / 670MB, 129MB/s  ...12-2008/model.safetensors: 16%|█▌ | 949MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 949MB / 5.85GB, 183MB/s New Data Upload : 91%|█████████ | 669MB / 737MB, 134MB/s  ...12-2008/model.safetensors: 17%|█▋ | 973MB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 973MB / 5.85GB, 181MB/s New Data Upload : 92%|█████████▏| 679MB / 737MB, 131MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.03GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.03GB / 5.85GB, 185MB/s New Data Upload : 92%|█████████▏| 736MB / 804MB, 136MB/s  ...12-2008/model.safetensors: 18%|█▊ | 1.05GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.05GB / 5.85GB, 182MB/s New Data Upload : 94%|█████████▍| 756MB / 804MB, 135MB/s  ...12-2008/model.safetensors: 19%|█▉ | 1.10GB / 5.85GB  Processing Files (0 / 1) : 19%|█▉ | 1.10GB / 5.85GB, 184MB/s New Data Upload : 92%|█████████▏| 804MB / 871MB, 139MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.17GB / 5.85GB  Processing Files (0 / 1) : 20%|█▉ | 1.17GB / 5.85GB, 189MB/s New Data Upload : 100%|█████████▉| 871MB / 871MB, 145MB/s  ...12-2008/model.safetensors: 20%|█▉ | 1.17GB / 5.85GB  Processing Files (0 / 1) : 20%|█▉ | 1.17GB / 5.85GB, 183MB/s New Data Upload : 93%|█████████▎| 871MB / 938MB, 140MB/s  ...12-2008/model.safetensors: 21%|██ | 1.23GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.23GB / 5.85GB, 187MB/s New Data Upload : 93%|█████████▎| 938MB / 1.01GB, 147MB/s  ...12-2008/model.safetensors: 21%|██ | 1.23GB / 5.85GB  Processing Files (0 / 1) : 21%|██ | 1.23GB / 5.85GB, 182MB/s New Data Upload : 93%|█████████▎| 938MB / 1.01GB, 142MB/s  ...12-2008/model.safetensors: 22%|██▏ | 1.30GB / 5.85GB  Processing Files (0 / 1) : 22%|██▏ | 1.30GB / 5.85GB, 186MB/s New Data Upload : 94%|█████████▎| 1.00GB / 1.07GB, 148MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.34GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.34GB / 5.85GB, 186MB/s New Data Upload : 97%|█████████▋| 1.04GB / 1.07GB, 149MB/s  ...12-2008/model.safetensors: 23%|██▎ | 1.37GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.37GB / 5.85GB, 185MB/s New Data Upload : 94%|█████████▍| 1.07GB / 1.14GB, 149MB/s  ...12-2008/model.safetensors: 25%|██▍ | 1.43GB / 5.85GB  Processing Files (0 / 1) : 25%|██▍ | 1.43GB / 5.85GB, 189MB/s New Data Upload : 100%|█████████▉| 1.14GB / 1.14GB, 154MB/s  ...12-2008/model.safetensors: 25%|██▍ | 1.43GB / 5.85GB  Processing Files (0 / 1) : 25%|██▍ | 1.43GB / 5.85GB, 184MB/s New Data Upload : 94%|█████████▍| 1.14GB / 1.21GB, 150MB/s  ...12-2008/model.safetensors: 26%|██▌ | 1.50GB / 5.85GB  Processing Files (0 / 1) : 26%|██▌ | 1.50GB / 5.85GB, 188MB/s New Data Upload : 100%|█████████▉| 1.21GB / 1.21GB, 155MB/s  ...12-2008/model.safetensors: 26%|██▌ | 1.50GB / 5.85GB  Processing Files (0 / 1) : 26%|██▌ | 1.50GB / 5.85GB, 183MB/s New Data Upload : 95%|█████████▍| 1.21GB / 1.27GB, 151MB/s  ...12-2008/model.safetensors: 27%|██▋ | 1.57GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.57GB / 5.85GB, 187MB/s New Data Upload : 95%|█████████▍| 1.27GB / 1.34GB, 155MB/s  ...12-2008/model.safetensors: 27%|██▋ | 1.57GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.57GB / 5.85GB, 183MB/s New Data Upload : 95%|█████████▌| 1.28GB / 1.34GB, 152MB/s  ...12-2008/model.safetensors: 28%|██▊ | 1.63GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.63GB / 5.85GB, 186MB/s New Data Upload : 95%|█████████▌| 1.34GB / 1.41GB, 156MB/s  ...12-2008/model.safetensors: 29%|██▉ | 1.70GB / 5.85GB  Processing Files (0 / 1) : 29%|██▉ | 1.70GB / 5.85GB, 190MB/s New Data Upload : 100%|█████████▉| 1.41GB / 1.41GB, 160MB/s  ...12-2008/model.safetensors: 29%|██▉ | 1.70GB / 5.85GB  Processing Files (0 / 1) : 29%|██▉ | 1.70GB / 5.85GB, 185MB/s New Data Upload : 95%|█████████▌| 1.41GB / 1.47GB, 156MB/s  ...12-2008/model.safetensors: 30%|███ | 1.77GB / 5.85GB  Processing Files (0 / 1) : 30%|███ | 1.77GB / 5.85GB, 189MB/s New Data Upload : 96%|█████████▌| 1.47GB / 1.54GB, 160MB/s  ...12-2008/model.safetensors: 30%|███ | 1.77GB / 5.85GB  Processing Files (0 / 1) : 30%|███ | 1.77GB / 5.85GB, 185MB/s New Data Upload : 96%|█████████▌| 1.47GB / 1.54GB, 157MB/s  ...12-2008/model.safetensors: 31%|███▏ | 1.84GB / 5.85GB  Processing Files (0 / 1) : 31%|███▏ | 1.84GB / 5.85GB, 188MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 161MB/s  ...12-2008/model.safetensors: 31%|███▏ | 1.84GB / 5.85GB  Processing Files (0 / 1) : 31%|███▏ | 1.84GB / 5.85GB, 184MB/s New Data Upload : 96%|█████████▌| 1.54GB / 1.61GB, 157MB/s  ...12-2008/model.safetensors: 33%|███▎ | 1.90GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.90GB / 5.85GB, 187MB/s New Data Upload : 96%|█████████▌| 1.61GB / 1.68GB, 161MB/s  ...12-2008/model.safetensors: 34%|███▎ | 1.97GB / 5.85GB  Processing Files (0 / 1) : 34%|███▎ | 1.97GB / 5.85GB, 190MB/s New Data Upload : 100%|█████████▉| 1.67GB / 1.68GB, 164MB/s  ...12-2008/model.safetensors: 34%|███▎ | 1.97GB / 5.85GB  ...12-2008/model.safetensors: 35%|███▍ | 2.04GB / 5.85GB  Processing Files (0 / 1) : 35%|███▍ | 2.04GB / 5.85GB, 194MB/s New Data Upload : 100%|█████████▉| 1.74GB / 1.74GB, 171MB/s  ...12-2008/model.safetensors: 35%|███▍ | 2.04GB / 5.85GB  Processing Files (0 / 1) : 35%|███▍ | 2.04GB / 5.85GB, 185MB/s New Data Upload : 96%|█████████▋| 1.74GB / 1.81GB, 164MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.10GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.10GB / 5.85GB, 191MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 171MB/s  ...12-2008/model.safetensors: 36%|███▌ | 2.10GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.10GB / 5.85GB, 191MB/s New Data Upload : 96%|█████████▋| 1.81GB / 1.88GB, 171MB/s  ...12-2008/model.safetensors: 37%|███▋ | 2.17GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.17GB / 5.85GB, 198MB/s New Data Upload : 97%|█████████▋| 1.88GB / 1.94GB, 177MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.24GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.24GB / 5.85GB, 204MB/s New Data Upload : 100%|█████████▉| 1.94GB / 1.94GB, 184MB/s  ...12-2008/model.safetensors: 38%|███▊ | 2.24GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.24GB / 5.85GB, 196MB/s New Data Upload : 97%|█████████▋| 1.94GB / 2.01GB, 177MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.31GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.31GB / 5.85GB, 202MB/s New Data Upload : 97%|█████████▋| 2.01GB / 2.08GB, 184MB/s  ...12-2008/model.safetensors: 39%|███▉ | 2.31GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.31GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.01GB / 2.08GB, 177MB/s  ...12-2008/model.safetensors: 41%|████ | 2.37GB / 5.85GB  Processing Files (0 / 1) : 41%|████ | 2.37GB / 5.85GB, 199MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 184MB/s  ...12-2008/model.safetensors: 41%|████ | 2.37GB / 5.85GB  Processing Files (0 / 1) : 41%|████ | 2.37GB / 5.85GB, 191MB/s New Data Upload : 97%|█████████▋| 2.08GB / 2.15GB, 177MB/s  ...12-2008/model.safetensors: 42%|████▏ | 2.44GB / 5.85GB  Processing Files (0 / 1) : 42%|████▏ | 2.44GB / 5.85GB, 197MB/s New Data Upload : 97%|█████████▋| 2.14GB / 2.21GB, 184MB/s  ...12-2008/model.safetensors: 43%|████▎ | 2.51GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.51GB / 5.85GB, 196MB/s New Data Upload : 100%|█████████▉| 2.21GB / 2.21GB, 185MB/s  ...12-2008/model.safetensors: 43%|████▎ | 2.51GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.51GB / 5.85GB, 195MB/s New Data Upload : 97%|█████████▋| 2.21GB / 2.28GB, 184MB/s  ...12-2008/model.safetensors: 44%|████▍ | 2.57GB / 5.85GB  Processing Files (0 / 1) : 44%|████▍ | 2.57GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 184MB/s  ...12-2008/model.safetensors: 44%|████▍ | 2.57GB / 5.85GB  Processing Files (0 / 1) : 44%|████▍ | 2.57GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.28GB / 2.35GB, 184MB/s  ...12-2008/model.safetensors: 45%|████▌ | 2.64GB / 5.85GB  Processing Files (0 / 1) : 45%|████▌ | 2.64GB / 5.85GB, 193MB/s New Data Upload : 97%|█████████▋| 2.35GB / 2.41GB, 185MB/s  ...12-2008/model.safetensors: 46%|████▌ | 2.68GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.68GB / 5.85GB, 196MB/s New Data Upload : 99%|█████████▉| 2.39GB / 2.41GB, 188MB/s  ...12-2008/model.safetensors: 46%|████▋ | 2.71GB / 5.85GB  Processing Files (0 / 1) : 46%|████▋ | 2.71GB / 5.85GB, 190MB/s New Data Upload : 97%|█████████▋| 2.41GB / 2.48GB, 184MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.77GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.77GB / 5.85GB, 196MB/s New Data Upload : 100%|█████████▉| 2.48GB / 2.48GB, 191MB/s  ...12-2008/model.safetensors: 47%|████▋ | 2.77GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.77GB / 5.85GB, 189MB/s New Data Upload : 97%|█████████▋| 2.48GB / 2.55GB, 184MB/s  ...12-2008/model.safetensors: 49%|████▊ | 2.84GB / 5.85GB  Processing Files (0 / 1) : 49%|████▊ | 2.84GB / 5.85GB, 194MB/s New Data Upload : 97%|█████████▋| 2.55GB / 2.62GB, 191MB/s  ...12-2008/model.safetensors: 49%|████▊ | 2.84GB / 5.85GB  Processing Files (0 / 1) : 49%|████▊ | 2.84GB / 5.85GB, 192MB/s New Data Upload : 97%|█████████▋| 2.55GB / 2.62GB, 189MB/s  ...12-2008/model.safetensors: 50%|████▉ | 2.91GB / 5.85GB  Processing Files (0 / 1) : 50%|████▉ | 2.91GB / 5.85GB, 192MB/s New Data Upload : 97%|█████████▋| 2.61GB / 2.68GB, 191MB/s  ...12-2008/model.safetensors: 50%|█████ | 2.94GB / 5.85GB  Processing Files (0 / 1) : 50%|█████ | 2.94GB / 5.85GB, 192MB/s New Data Upload : 98%|█████████▊| 2.64GB / 2.68GB, 192MB/s  ...12-2008/model.safetensors: 51%|█████ | 2.98GB / 5.85GB  Processing Files (0 / 1) : 51%|█████ | 2.98GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.68GB / 2.75GB, 191MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.04GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.04GB / 5.85GB, 195MB/s New Data Upload : 100%|█████████▉| 2.75GB / 2.75GB, 195MB/s  ...12-2008/model.safetensors: 52%|█████▏ | 3.04GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.04GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.75GB / 2.82GB, 191MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.11GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.11GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.81GB / 2.88GB, 191MB/s  ...12-2008/model.safetensors: 53%|█████▎ | 3.11GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.11GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.82GB / 2.88GB, 191MB/s  ...12-2008/model.safetensors: 54%|█████▍ | 3.18GB / 5.85GB  Processing Files (0 / 1) : 54%|█████▍ | 3.18GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.88GB / 2.95GB, 191MB/s  ...12-2008/model.safetensors: 55%|█████▌ | 3.25GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.25GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 2.95GB / 2.95GB, 197MB/s  ...12-2008/model.safetensors: 55%|█████▌ | 3.25GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▌ | 3.25GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 2.95GB / 3.02GB, 191MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.31GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.31GB / 5.85GB, 193MB/s New Data Upload : 100%|█████████▉| 3.02GB / 3.02GB, 193MB/s  ...12-2008/model.safetensors: 57%|█████▋ | 3.31GB / 5.85GB  ...12-2008/model.safetensors: 58%|█████▊ | 3.38GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.38GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.08GB / 3.15GB, 191MB/s  ...12-2008/model.safetensors: 58%|█████▊ | 3.38GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.38GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.08GB / 3.15GB, 191MB/s  ...12-2008/model.safetensors: 59%|█████▉ | 3.45GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▉ | 3.45GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.15GB / 3.22GB, 191MB/s  ...12-2008/model.safetensors: 60%|██████ | 3.51GB / 5.85GB  Processing Files (0 / 1) : 60%|██████ | 3.51GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.22GB / 3.22GB, 197MB/s  ...12-2008/model.safetensors: 60%|██████ | 3.51GB / 5.85GB  ...12-2008/model.safetensors: 61%|██████ | 3.58GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.58GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.28GB / 3.29GB, 197MB/s  ...12-2008/model.safetensors: 61%|██████ | 3.58GB / 5.85GB  Processing Files (0 / 1) : 61%|██████ | 3.58GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.28GB / 3.35GB, 191MB/s  ...12-2008/model.safetensors: 62%|██████▏ | 3.65GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.65GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.35GB / 3.42GB, 191MB/s  ...12-2008/model.safetensors: 63%|██████▎ | 3.69GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.69GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 3.39GB / 3.42GB, 194MB/s  ...12-2008/model.safetensors: 64%|██████▎ | 3.72GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▎ | 3.72GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.42GB / 3.49GB, 191MB/s  ...12-2008/model.safetensors: 65%|██████▍ | 3.78GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▍ | 3.78GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 3.49GB / 3.49GB, 197MB/s  ...12-2008/model.safetensors: 65%|██████▍ | 3.78GB / 5.85GB  ...12-2008/model.safetensors: 66%|██████▌ | 3.85GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▌ | 3.85GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.55GB / 3.62GB, 197MB/s  ...12-2008/model.safetensors: 66%|██████▌ | 3.85GB / 5.85GB  ...12-2008/model.safetensors: 67%|██████▋ | 3.92GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.92GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.62GB / 3.69GB, 191MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.96GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.96GB / 5.85GB, 195MB/s New Data Upload : 99%|█████████▉| 3.66GB / 3.69GB, 195MB/s  ...12-2008/model.safetensors: 68%|██████▊ | 3.98GB / 5.85GB  Processing Files (0 / 1) : 68%|██████▊ | 3.98GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.69GB / 3.76GB, 191MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.05GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.05GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.75GB / 3.82GB, 197MB/s  ...12-2008/model.safetensors: 69%|██████▉ | 4.05GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▉ | 4.05GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.75GB / 3.82GB, 191MB/s  ...12-2008/model.safetensors: 70%|███████ | 4.12GB / 5.85GB  Processing Files (0 / 1) : 70%|███████ | 4.12GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 3.82GB / 3.89GB, 197MB/s  ...12-2008/model.safetensors: 70%|███████ | 4.12GB / 5.85GB  Processing Files (0 / 1) : 70%|███████ | 4.12GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.83GB / 3.89GB, 191MB/s  ...12-2008/model.safetensors: 72%|███████▏ | 4.19GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.19GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.89GB / 3.96GB, 191MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.25GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.25GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 3.96GB / 3.96GB, 197MB/s  ...12-2008/model.safetensors: 73%|███████▎ | 4.25GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.25GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 3.96GB / 4.02GB, 191MB/s  ...12-2008/model.safetensors: 74%|███████▍ | 4.32GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.32GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.02GB / 4.02GB, 197MB/s  ...12-2008/model.safetensors: 74%|███████▍ | 4.32GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.32GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.02GB / 4.09GB, 191MB/s  ...12-2008/model.safetensors: 75%|███████▌ | 4.39GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▌ | 4.39GB / 5.85GB, 197MB/s New Data Upload : 98%|█████████▊| 4.09GB / 4.16GB, 197MB/s  ...12-2008/model.safetensors: 75%|███████▌ | 4.40GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▌ | 4.40GB / 5.85GB, 193MB/s New Data Upload : 99%|█████████▉| 4.11GB / 4.16GB, 192MB/s  ...12-2008/model.safetensors: 76%|███████▌ | 4.45GB / 5.85GB  Processing Files (0 / 1) : 76%|███████▌ | 4.45GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.16GB / 4.22GB, 191MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.52GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.52GB / 5.85GB, 198MB/s New Data Upload : 100%|█████████▉| 4.22GB / 4.22GB, 197MB/s  ...12-2008/model.safetensors: 77%|███████▋ | 4.52GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.52GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.22GB / 4.29GB, 191MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.59GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.59GB / 5.85GB, 198MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 197MB/s  ...12-2008/model.safetensors: 78%|███████▊ | 4.59GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.59GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.29GB / 4.36GB, 191MB/s  ...12-2008/model.safetensors: 80%|███████▉ | 4.66GB / 5.85GB  Processing Files (0 / 1) : 80%|███████▉ | 4.66GB / 5.85GB, 193MB/s New Data Upload : 98%|█████████▊| 4.36GB / 4.43GB, 193MB/s  ...12-2008/model.safetensors: 80%|███████▉ | 4.66GB / 5.85GB  Processing Files (0 / 1) : 80%|███████▉ | 4.66GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.36GB / 4.43GB, 191MB/s  ...12-2008/model.safetensors: 81%|████████ | 4.72GB / 5.85GB  Processing Files (0 / 1) : 81%|████████ | 4.72GB / 5.85GB, 191MB/s New Data Upload : 98%|█████████▊| 4.42GB / 4.49GB, 191MB/s  ...12-2008/model.safetensors: 82%|████████▏ | 4.79GB / 5.85GB  Processing Files (0 / 1) : 82%|████████▏ | 4.79GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.49GB / 4.49GB, 197MB/s  ...12-2008/model.safetensors: 82%|████████▏ | 4.79GB / 5.85GB  Processing Files (0 / 1) : 82%|████████▏ | 4.79GB / 5.85GB, 191MB/s New Data Upload : 99%|█████████▊| 4.49GB / 4.56GB, 191MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.86GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.86GB / 5.85GB, 197MB/s New Data Upload : 100%|█████████▉| 4.56GB / 4.56GB, 197MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.86GB / 5.85GB  Processing Files (0 / 1) : 83%|████████▎ | 4.86GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 4.56GB / 4.56GB, 191MB/s  ...12-2008/model.safetensors: 83%|████████▎ | 4.86GB / 5.85GB  ...12-2008/model.safetensors: 83%|████████▎ | 4.86GB / 5.85GB  ...12-2008/model.safetensors: 84%|████████▍ | 4.92GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▍ | 4.92GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 4.63GB / 4.69GB, 184MB/s  ...12-2008/model.safetensors: 85%|████████▌ | 4.98GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▌ | 4.98GB / 5.85GB, 189MB/s New Data Upload : 100%|█████████▉| 4.68GB / 4.69GB, 189MB/s  ...12-2008/model.safetensors: 85%|████████▌ | 4.99GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▌ | 4.99GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 4.69GB / 4.76GB, 184MB/s  ...12-2008/model.safetensors: 86%|████████▋ | 5.06GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▋ | 5.06GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 4.76GB / 4.76GB, 191MB/s  ...12-2008/model.safetensors: 86%|████████▋ | 5.06GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▋ | 5.06GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 4.76GB / 4.83GB, 184MB/s  ...12-2008/model.safetensors: 88%|████████▊ | 5.12GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.12GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 4.83GB / 4.90GB, 184MB/s  ...12-2008/model.safetensors: 88%|████████▊ | 5.12GB / 5.85GB  Processing Files (0 / 1) : 88%|████████▊ | 5.12GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 4.83GB / 4.90GB, 184MB/s  ...12-2008/model.safetensors: 89%|████████▉ | 5.19GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▉ | 5.19GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 4.89GB / 4.96GB, 184MB/s  ...12-2008/model.safetensors: 90%|████████▉ | 5.24GB / 5.85GB  Processing Files (0 / 1) : 90%|████████▉ | 5.24GB / 5.85GB, 189MB/s New Data Upload : 100%|█████████▉| 4.94GB / 4.96GB, 189MB/s  ...12-2008/model.safetensors: 90%|████████▉ | 5.26GB / 5.85GB  Processing Files (0 / 1) : 90%|████████▉ | 5.26GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 4.96GB / 5.03GB, 184MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.33GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.33GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.03GB / 5.03GB, 191MB/s  ...12-2008/model.safetensors: 91%|█████████ | 5.33GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.33GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 5.03GB / 5.10GB, 184MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.39GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.39GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 184MB/s  ...12-2008/model.safetensors: 92%|█████████▏| 5.39GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.39GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 5.10GB / 5.16GB, 184MB/s  ...12-2008/model.safetensors: 93%|█████████▎| 5.46GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.46GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 5.16GB / 5.23GB, 184MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.53GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.53GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.23GB / 5.23GB, 191MB/s  ...12-2008/model.safetensors: 94%|█████████▍| 5.53GB / 5.85GB  ...12-2008/model.safetensors: 96%|█████████▌| 5.59GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▌| 5.59GB / 5.85GB, 187MB/s New Data Upload : 99%|█████████▊| 5.30GB / 5.36GB, 187MB/s  ...12-2008/model.safetensors: 96%|█████████▌| 5.59GB / 5.85GB  Processing Files (0 / 1) : 96%|█████████▌| 5.59GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 5.30GB / 5.36GB, 184MB/s  ...12-2008/model.safetensors: 97%|█████████▋| 5.66GB / 5.85GB  Processing Files (0 / 1) : 97%|█████████▋| 5.66GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▊| 5.36GB / 5.43GB, 184MB/s  ...12-2008/model.safetensors: 97%|█████████▋| 5.68GB / 5.85GB  Processing Files (0 / 1) : 97%|█████████▋| 5.68GB / 5.85GB, 186MB/s New Data Upload : 99%|█████████▉| 5.38GB / 5.43GB, 186MB/s  ...12-2008/model.safetensors: 98%|█████████▊| 5.73GB / 5.85GB  Processing Files (0 / 1) : 98%|█████████▊| 5.73GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▉| 5.43GB / 5.50GB, 184MB/s  ...12-2008/model.safetensors: 99%|█████████▉| 5.79GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▉| 5.79GB / 5.85GB, 191MB/s New Data Upload : 100%|█████████▉| 5.50GB / 5.50GB, 191MB/s  ...12-2008/model.safetensors: 99%|█████████▉| 5.79GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▉| 5.79GB / 5.85GB, 184MB/s New Data Upload : 99%|█████████▉| 5.50GB / 5.55GB, 184MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 185MB/s New Data Upload : 100%|█████████▉| 5.55GB / 5.55GB, 185MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 183MB/s New Data Upload : 100%|█████████▉| 5.55GB / 5.55GB, 183MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 176MB/s New Data Upload : 100%|█████████▉| 5.55GB / 5.55GB, 176MB/s  ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 170MB/s New Data Upload : 100%|██████████| 5.55GB / 5.55GB, 170MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 139MB/s New Data Upload : 100%|██████████| 5.55GB / 5.55GB, 139MB/s ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB INFO 2026-03-13 20:58:34 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, ???B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 20:58:35 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 20:58:35 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. [Avatar] Pushed checkpoint (step 70000) OK [Avatar] Tagged as 'step-70000' Training: 100%|██████████| 70000/70000 [24:48:44<00:00, 1.28s/step] INFO 2026-03-13 20:58:36 ot_train.py:529 End of training Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...12-2008/model.safetensors: 1%| | 67.9MB / 5.85GB  ...12-2008/model.safetensors: 1%| | 67.9MB / 5.85GB  Processing Files (0 / 1) : 1%| | 67.9MB / 5.85GB, ???B/s ...12-2008/model.safetensors: 2%|▏ | 129MB / 5.85GB  Processing Files (0 / 1) : 2%|▏ | 129MB / 5.85GB, 308MB/s ...12-2008/model.safetensors: 3%|▎ | 192MB / 5.85GB  Processing Files (0 / 1) : 3%|▎ | 192MB / 5.85GB, 311MB/s ...12-2008/model.safetensors: 4%|▍ | 256MB / 5.85GB  Processing Files (0 / 1) : 4%|▍ | 256MB / 5.85GB, 314MB/s ...12-2008/model.safetensors: 6%|▌ | 326MB / 5.85GB  Processing Files (0 / 1) : 6%|▌ | 326MB / 5.85GB, 323MB/s ...12-2008/model.safetensors: 7%|▋ | 388MB / 5.85GB  Processing Files (0 / 1) : 7%|▋ | 388MB / 5.85GB, 320MB/s ...12-2008/model.safetensors: 8%|▊ | 443MB / 5.85GB  Processing Files (0 / 1) : 8%|▊ | 443MB / 5.85GB, 312MB/s ...12-2008/model.safetensors: 9%|▊ | 506MB / 5.85GB  Processing Files (0 / 1) : 9%|▊ | 506MB / 5.85GB, 313MB/s ...12-2008/model.safetensors: 10%|▉ | 577MB / 5.85GB  Processing Files (0 / 1) : 10%|▉ | 577MB / 5.85GB, 318MB/s ...12-2008/model.safetensors: 11%|█ | 641MB / 5.85GB  Processing Files (0 / 1) : 11%|█ | 641MB / 5.85GB, 318MB/s ...12-2008/model.safetensors: 12%|█▏ | 704MB / 5.85GB  Processing Files (0 / 1) : 12%|█▏ | 704MB / 5.85GB, 318MB/s ...12-2008/model.safetensors: 13%|█▎ | 774MB / 5.85GB  Processing Files (0 / 1) : 13%|█▎ | 774MB / 5.85GB, 321MB/s ...12-2008/model.safetensors: 14%|█▍ | 838MB / 5.85GB  Processing Files (0 / 1) : 14%|█▍ | 838MB / 5.85GB, 321MB/s ...12-2008/model.safetensors: 16%|█▌ | 909MB / 5.85GB  Processing Files (0 / 1) : 16%|█▌ | 909MB / 5.85GB, 323MB/s ...12-2008/model.safetensors: 17%|█▋ | 979MB / 5.85GB  Processing Files (0 / 1) : 17%|█▋ | 979MB / 5.85GB, 325MB/s ...12-2008/model.safetensors: 18%|█▊ | 1.05GB / 5.85GB  Processing Files (0 / 1) : 18%|█▊ | 1.05GB / 5.85GB, 327MB/s ...12-2008/model.safetensors: 19%|█▉ | 1.11GB / 5.85GB  Processing Files (0 / 1) : 19%|█▉ | 1.11GB / 5.85GB, 326MB/s ...12-2008/model.safetensors: 20%|██ | 1.18GB / 5.85GB  Processing Files (0 / 1) : 20%|██ | 1.18GB / 5.85GB, 326MB/s ...12-2008/model.safetensors: 21%|██▏ | 1.25GB / 5.85GB  Processing Files (0 / 1) : 21%|██▏ | 1.25GB / 5.85GB, 328MB/s ...12-2008/model.safetensors: 23%|██▎ | 1.32GB / 5.85GB  Processing Files (0 / 1) : 23%|██▎ | 1.32GB / 5.85GB, 330MB/s ...12-2008/model.safetensors: 24%|██▎ | 1.38GB / 5.85GB  Processing Files (0 / 1) : 24%|██▎ | 1.38GB / 5.85GB, 329MB/s ...12-2008/model.safetensors: 25%|██▍ | 1.46GB / 5.85GB  Processing Files (0 / 1) : 25%|██▍ | 1.46GB / 5.85GB, 331MB/s ...12-2008/model.safetensors: 26%|██▌ | 1.52GB / 5.85GB  Processing Files (0 / 1) : 26%|██▌ | 1.52GB / 5.85GB, 330MB/s ...12-2008/model.safetensors: 27%|██▋ | 1.59GB / 5.85GB  Processing Files (0 / 1) : 27%|██▋ | 1.59GB / 5.85GB, 331MB/s ...12-2008/model.safetensors: 28%|██▊ | 1.66GB / 5.85GB  Processing Files (0 / 1) : 28%|██▊ | 1.66GB / 5.85GB, 333MB/s ...12-2008/model.safetensors: 30%|██▉ | 1.74GB / 5.85GB  Processing Files (0 / 1) : 30%|██▉ | 1.74GB / 5.85GB, 334MB/s ...12-2008/model.safetensors: 31%|███ | 1.80GB / 5.85GB  Processing Files (0 / 1) : 31%|███ | 1.80GB / 5.85GB, 333MB/s ...12-2008/model.safetensors: 32%|███▏ | 1.87GB / 5.85GB  Processing Files (0 / 1) : 32%|███▏ | 1.87GB / 5.85GB, 334MB/s ...12-2008/model.safetensors: 33%|███▎ | 1.94GB / 5.85GB  Processing Files (0 / 1) : 33%|███▎ | 1.94GB / 5.85GB, 335MB/s ...12-2008/model.safetensors: 34%|███▍ | 2.01GB / 5.85GB  Processing Files (0 / 1) : 34%|███▍ | 2.01GB / 5.85GB, 335MB/s ...12-2008/model.safetensors: 36%|███▌ | 2.08GB / 5.85GB  Processing Files (0 / 1) : 36%|███▌ | 2.08GB / 5.85GB, 335MB/s ...12-2008/model.safetensors: 37%|███▋ | 2.15GB / 5.85GB  Processing Files (0 / 1) : 37%|███▋ | 2.15GB / 5.85GB, 336MB/s ...12-2008/model.safetensors: 38%|███▊ | 2.22GB / 5.85GB  Processing Files (0 / 1) : 38%|███▊ | 2.22GB / 5.85GB, 336MB/s ...12-2008/model.safetensors: 39%|███▉ | 2.29GB / 5.85GB  Processing Files (0 / 1) : 39%|███▉ | 2.29GB / 5.85GB, 336MB/s ...12-2008/model.safetensors: 40%|████ | 2.36GB / 5.85GB  Processing Files (0 / 1) : 40%|████ | 2.36GB / 5.85GB, 337MB/s ...12-2008/model.safetensors: 41%|████▏ | 2.42GB / 5.85GB  Processing Files (0 / 1) : 41%|████▏ | 2.42GB / 5.85GB, 337MB/s ...12-2008/model.safetensors: 43%|████▎ | 2.50GB / 5.85GB  Processing Files (0 / 1) : 43%|████▎ | 2.50GB / 5.85GB, 337MB/s ...12-2008/model.safetensors: 44%|████▍ | 2.57GB / 5.85GB  Processing Files (0 / 1) : 44%|████▍ | 2.57GB / 5.85GB, 338MB/s ...12-2008/model.safetensors: 45%|████▌ | 2.63GB / 5.85GB  Processing Files (0 / 1) : 45%|████▌ | 2.63GB / 5.85GB, 337MB/s ...12-2008/model.safetensors: 46%|████▌ | 2.70GB / 5.85GB  Processing Files (0 / 1) : 46%|████▌ | 2.70GB / 5.85GB, 338MB/s ...12-2008/model.safetensors: 47%|████▋ | 2.78GB / 5.85GB  Processing Files (0 / 1) : 47%|████▋ | 2.78GB / 5.85GB, 339MB/s ...12-2008/model.safetensors: 49%|████▊ | 2.84GB / 5.85GB  Processing Files (0 / 1) : 49%|████▊ | 2.84GB / 5.85GB, 338MB/s ...12-2008/model.safetensors: 50%|████▉ | 2.91GB / 5.85GB  Processing Files (0 / 1) : 50%|████▉ | 2.91GB / 5.85GB, 339MB/s ...12-2008/model.safetensors: 51%|█████ | 2.98GB / 5.85GB  Processing Files (0 / 1) : 51%|█████ | 2.98GB / 5.85GB, 338MB/s ...12-2008/model.safetensors: 52%|█████▏ | 3.05GB / 5.85GB  Processing Files (0 / 1) : 52%|█████▏ | 3.05GB / 5.85GB, 339MB/s ...12-2008/model.safetensors: 53%|█████▎ | 3.12GB / 5.85GB  Processing Files (0 / 1) : 53%|█████▎ | 3.12GB / 5.85GB, 339MB/s ...12-2008/model.safetensors: 55%|█████▍ | 3.19GB / 5.85GB  Processing Files (0 / 1) : 55%|█████▍ | 3.19GB / 5.85GB, 340MB/s ...12-2008/model.safetensors: 56%|█████▌ | 3.26GB / 5.85GB  Processing Files (0 / 1) : 56%|█████▌ | 3.26GB / 5.85GB, 339MB/s ...12-2008/model.safetensors: 57%|█████▋ | 3.33GB / 5.85GB  Processing Files (0 / 1) : 57%|█████▋ | 3.33GB / 5.85GB, 340MB/s ...12-2008/model.safetensors: 58%|█████▊ | 3.40GB / 5.85GB  Processing Files (0 / 1) : 58%|█████▊ | 3.40GB / 5.85GB, 340MB/s ...12-2008/model.safetensors: 59%|█████▉ | 3.46GB / 5.85GB  Processing Files (0 / 1) : 59%|█████▉ | 3.46GB / 5.85GB, 340MB/s ...12-2008/model.safetensors: 60%|██████ | 3.54GB / 5.85GB  Processing Files (0 / 1) : 60%|██████ | 3.54GB / 5.85GB, 340MB/s ...12-2008/model.safetensors: 62%|██████▏ | 3.61GB / 5.85GB  Processing Files (0 / 1) : 62%|██████▏ | 3.61GB / 5.85GB, 341MB/s ...12-2008/model.safetensors: 63%|██████▎ | 3.67GB / 5.85GB  Processing Files (0 / 1) : 63%|██████▎ | 3.67GB / 5.85GB, 341MB/s ...12-2008/model.safetensors: 64%|██████▍ | 3.74GB / 5.85GB  Processing Files (0 / 1) : 64%|██████▍ | 3.74GB / 5.85GB, 341MB/s ...12-2008/model.safetensors: 65%|██████▌ | 3.81GB / 5.85GB  Processing Files (0 / 1) : 65%|██████▌ | 3.81GB / 5.85GB, 341MB/s ...12-2008/model.safetensors: 66%|██████▌ | 3.87GB / 5.85GB  Processing Files (0 / 1) : 66%|██████▌ | 3.87GB / 5.85GB, 342MB/s ...12-2008/model.safetensors: 67%|██████▋ | 3.94GB / 5.85GB  Processing Files (0 / 1) : 67%|██████▋ | 3.94GB / 5.85GB, 343MB/s ...12-2008/model.safetensors: 69%|██████▊ | 4.01GB / 5.85GB  Processing Files (0 / 1) : 69%|██████▊ | 4.01GB / 5.85GB, 343MB/s ...12-2008/model.safetensors: 70%|██████▉ | 4.08GB / 5.85GB  Processing Files (0 / 1) : 70%|██████▉ | 4.08GB / 5.85GB, 343MB/s ...12-2008/model.safetensors: 71%|███████ | 4.14GB / 5.85GB  Processing Files (0 / 1) : 71%|███████ | 4.14GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 72%|███████▏ | 4.22GB / 5.85GB  Processing Files (0 / 1) : 72%|███████▏ | 4.22GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 73%|███████▎ | 4.28GB / 5.85GB  Processing Files (0 / 1) : 73%|███████▎ | 4.28GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 74%|███████▍ | 4.35GB / 5.85GB  Processing Files (0 / 1) : 74%|███████▍ | 4.35GB / 5.85GB, 345MB/s ...12-2008/model.safetensors: 75%|███████▌ | 4.41GB / 5.85GB  Processing Files (0 / 1) : 75%|███████▌ | 4.41GB / 5.85GB, 343MB/s ...12-2008/model.safetensors: 77%|███████▋ | 4.48GB / 5.85GB  Processing Files (0 / 1) : 77%|███████▋ | 4.48GB / 5.85GB, 343MB/s ...12-2008/model.safetensors: 78%|███████▊ | 4.55GB / 5.85GB  Processing Files (0 / 1) : 78%|███████▊ | 4.55GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 79%|███████▉ | 4.62GB / 5.85GB  Processing Files (0 / 1) : 79%|███████▉ | 4.62GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 80%|████████ | 4.69GB / 5.85GB  Processing Files (0 / 1) : 80%|████████ | 4.69GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 81%|████████▏ | 4.75GB / 5.85GB  Processing Files (0 / 1) : 81%|████████▏ | 4.75GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 82%|████████▏ | 4.82GB / 5.85GB  Processing Files (0 / 1) : 82%|████████▏ | 4.82GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 84%|████████▎ | 4.90GB / 5.85GB  Processing Files (0 / 1) : 84%|████████▎ | 4.90GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 85%|████████▍ | 4.96GB / 5.85GB  Processing Files (0 / 1) : 85%|████████▍ | 4.96GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 86%|████████▌ | 5.03GB / 5.85GB  Processing Files (0 / 1) : 86%|████████▌ | 5.03GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 87%|████████▋ | 5.10GB / 5.85GB  Processing Files (0 / 1) : 87%|████████▋ | 5.10GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 89%|████████▊ | 5.18GB / 5.85GB  Processing Files (0 / 1) : 89%|████████▊ | 5.18GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 90%|████████▉ | 5.24GB / 5.85GB  Processing Files (0 / 1) : 90%|████████▉ | 5.24GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 91%|█████████ | 5.31GB / 5.85GB  Processing Files (0 / 1) : 91%|█████████ | 5.31GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 92%|█████████▏| 5.38GB / 5.85GB  Processing Files (0 / 1) : 92%|█████████▏| 5.38GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 93%|█████████▎| 5.45GB / 5.85GB  Processing Files (0 / 1) : 93%|█████████▎| 5.45GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 94%|█████████▍| 5.52GB / 5.85GB  Processing Files (0 / 1) : 94%|█████████▍| 5.52GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 95%|█████████▌| 5.58GB / 5.85GB  Processing Files (0 / 1) : 95%|█████████▌| 5.58GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 97%|█████████▋| 5.66GB / 5.85GB  Processing Files (0 / 1) : 97%|█████████▋| 5.66GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 98%|█████████▊| 5.73GB / 5.85GB  Processing Files (0 / 1) : 98%|█████████▊| 5.73GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 99%|█████████▉| 5.80GB / 5.85GB  Processing Files (0 / 1) : 99%|█████████▉| 5.80GB / 5.85GB, 344MB/s ...12-2008/model.safetensors: 100%|█████████▉| 5.83GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.83GB / 5.85GB, 340MB/s ...12-2008/model.safetensors: 100%|█████████▉| 5.85GB / 5.85GB  Processing Files (0 / 1) : 100%|█████████▉| 5.85GB / 5.85GB, 336MB/s New Data Upload : 99%|█████████▉| 23.2MB / 23.4MB, 2.27MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 329MB/s New Data Upload : 100%|██████████| 23.4MB / 23.4MB, 2.29MB/s  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB  Processing Files (1 / 1) : 100%|██████████| 5.85GB / 5.85GB, 301MB/s New Data Upload : 100%|██████████| 23.4MB / 23.4MB, 2.34MB/s ...12-2008/model.safetensors: 100%|██████████| 5.85GB / 5.85GB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 20:59:02 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. INFO 2026-03-13 20:59:02 etrained.py:246 Model pushed to https://huggingface.co/avatarrobotics/pi0fast-orange-hook-right-b64-20260312-2008 Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 20:59:03 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. Processing Files (0 / 0) : | | 0.00B / 0.00B New Data Upload : | | 0.00B / 0.00B  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB  Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s Processing Files (1 / 1) : 100%|██████████| 4.32kB / 4.32kB, 0.00B/s New Data Upload : | | 0.00B / 0.00B, 0.00B/s ...zer_processor.safetensors: 100%|██████████| 4.32kB / 4.32kB No files have been modified since last commit. Skipping to prevent empty commit. WARNING 2026-03-13 20:59:03 /hf_api.py:4298 No files have been modified since last commit. Skipping to prevent empty commit. >>> Training finished with exit code 0 Ended: 2026-03-13 20:59:09 UTC >>> Saving training log to HuggingFace...